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Hello,
I am trying to check the status of the optical system in an atomic absorption spectrometer by using it in emission mode.
The model i am working with is a XplorAA Dual (GBC Scientific) system. Currently, we do not have a hollow cathode lamp to test the equipment, but i was told that it could be used in emission mode to check the status of the burner and/or optics before acquiring a HC lamp. The problem is i can't seem to find the information regarding the configuration of the equipment for its use in emission mode. The manual provided doesn't seem to include this information, although i was able to find the configuration option for emission mode in the software.
We also have problems with the installation of the flame shield, it seems some parts are missing or there is something we are not seeing.
GBC Scientific doesn't have an official representative in my country (Argentina) anymore. I have tried to make contact with the technical service in Australia and other Latin american countries to no avail.
If someone familiar with this brand and/or model can help me solve these issues, it would be greatly appreciated.
Best regards,
Dr. Juan Manuel Ostera
Universidad Nacional de Moreno - República Argentina
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Have you tried their contact webform at https://gbcsci.us/contact-us ?
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I am not happy about addition of any size particles as these end up as particulate matter in the exhaust or part of that may deposit on different surfaces for beneficial or detrimental impact. Hydrogen enrichment is a very wise idea, but I am not sure of its overall efficiency, beyond rendering higher energy to the fuel. Why am I sceptic? again because of risks of deposits.
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Exploring the Role of Small Modular Reactors in Achieving Net Zero Emissions for Merchant Vessels by 2050
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What d0 y0u want to know
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EDS: energy dispersive spectroscopy
XFS: X-ray Fluorescence spectroscopy
PIXE: proton induced X-ray emission
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Auger electrons are associated with EDS, XFS. For all excitation events, there is a partition between Auger electrons and fluorescent photons and depends on the absorption edge and the size of the atom.
As you increase in atomic number (Z), fluorescent yield increases and auger electrons yield decreases.
Auger electrons will be more probably at low energy, and at L-edges (L2,3 < L1). This is why you generally don't see X-ray fluorescence experiments at low energy, but it is possible to generate exceptional spectra using a silicon drift detector (SDD) and I have done many experiments to show this.
Energy dispersive (proportional counters) detectors are not generally utilized in modern XAS experiments any more.
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  • I am working on phthalocyanine molecules and recorded photoluminescence absorption and emission in the range 345-700 nm. The compound is in both solid thin film as well as solution form I want to see the non radiative relaxation which proves the mono disperse and aggregated conditions
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If you want to get quantum yield, you can do it by two methods. The first is comparative, which means that you have some standard with a known quantum yield, e.g. Phthalocyanine has 0.6 (Seybold, 1969a). You then measure the emission and absorption spectrum of the sample as well as the standard at different concentrations. You integrate the fluorescence bands and then plot a graph of the integrated fluorescence intensity vs absorbance. The quantum yield of the unknown sample is given by the equation:
Q_s = Q_r x (a_s/a_r) x (n_s/n_r)^2
Where: Q - quantum yield
a - slope of the graph
n - refractive index
subscripts s (sample) and r (reference)
The second method is a direct measurement using an integrating sphere. Then you know the ratio of photons emitted to photons absorbed. the case of your film measurements, it seems to me that this would be a better method
As for the aggregated environment, you already get some confirmation from the spectra you uploaded. The band at about 465 nm in the film comes from aggregated molecules
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When Er-doped materials are pumped by 980nm laser, they can emit the light at 1550nm as well as green light due to the energy transfer between different energy level. When all the emission energy come from the pump light, the up-conversion green light should be suppressed in order to maximize the emission energy at 1550nm which is the important for optical amplification at telecommunication wavelength. The question is thus that, how to suppress the up-conversion emission in Er-doped materials and therefore most of the pump energy can be converted into 1550nm?
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spektral fitreleme kullanarak yeşil emisyonu bastırmak için kullanılabilir, böylece istemediğimiz emisyonları optik yolda filtreleriz. Farklı olarak katkılama işlemleri yaparak iyonları doğrudan erbium iyonlarına aktarmak yerine daha verimli şekilde pompa enerjisinin 1550nm emisyonunda kullanımı sağlanabilir. Ayrıca yukarı dönüşüm verimliliği sıcaklıkla düşürülebilirliği ele alınabilir. Çalışma dıcaklığı kontrol edilerek yeşil emisyonu azaltılabilir ve 1550 nm ye olan enerjiyi yenlendirebiliriz R.P. Wang
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low R-value is probably related to the higher symmetrical site occupied by Eu3+ ions, supporting the highest emission intensity.
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Dear Dr. khelfane,
The term "high symmetry" indicates that at a particular point, there are numerous symmetry elements that leave this point unchanged when applied.
Best,
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Hello. I am working on ROS production of two systems:
system A is cerium oxide and hydrogen peroxide, system B is cerium oxide nanoparticle, hydrogen peroxide and potassium bromide. I did some antibacterial tests before and the bacteria(e.coli) cultivate in LB broth later mixed with these two systems were killed up to 100%. The results were obtained by plate couting and the plate with system B can kill all E.coli every time, while system A can kill most of them, so I want to go further and investigate the ROS production: singlet oxygen and hydroxyl radical.
singlet oxygen: excitation 488nm, emission 528nm;
hydroxyl radical: excitation 476nm, emission 516nm.
I used a clear-bottom black 96 well plate and add 100ul probe in each well to mix with the systems as below, then incubate them under room temperature for 30 min in dark before using the microplate reader:
system A(CeO2+H2O2)+E.coli
system B(CeO2+H2O2+KBr)+E.coli
system A(CeO2+H2O2)
system B(CeO2+H2O2+KBr)
The result was strange, fluorescence of system A+E.coli sometimes even bigger than system B+E.coli, and the result of system A or B without E.coli addtion were negative values, or bigger than with E.coli addition.
I think there must be some contamination in the process, and I am not familar with all the setting of the microplate reader.
Please help me........
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Based on your excitation/emission wavelength, I guess that you have add fluorescent probes for 1O2 ans HO°.
Second 1O2 ans HO° are transient species. Only a small fraction will reach the E.coli. This can justify the same signal with/without E.coli.
The question is do you detect more ROS in system B or A ?
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Meadows, D. (1997). Places to Intervene in a System. Whole Earth, 91(1), 78-84.
On P7, it reads:
"In 1986 the US government required that every factory releasing hazardous air pollutants report those emissions publicly. Suddenly everyone could find out precisely what was coming out of the smokestacks in town. There was no law against those emissions, no fines, no determination of "safe" levels, just information. But by 1990 emissions dropped 40 percent. One chemical company that found itself on the Top Ten Polluters list reduced its emissions by 90 percent, just to "get off that list."
This is an exciting story, and I am thinking of using this example to illustrate the effectiveness of information policy instruments in my Environmental Policy course teaching. However, I am wondering, the Clean Air Act was enacted in 1970, and by 1986, there was still no law against emission? No fines? No determination of safe level in the US?
Who can provide a quick answer so that I do not have to dive into the legal documents?
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As a quick answer, I'd be curious to see what the author is citing with regards to that passage since 1990 was when a lot of the major CAA amendments were passed, but the NAAQS dates back to the 1970 CAA which allowed the EPA to promulgate standards for air pollutants based upon standards intended to protect public health and with a reasonable margin of safety. That seems to be a point against the "no law against emissions" and "no determination of 'safe' levels'. I'd have to go back and read some of my notes with regards to fines since they are authorized, but they are context specific and I can't remember the timelines for when they were authorized by statute off hand.
The Congressional Research Service actually has a good write up about this: "Clean Air Act: A Summary of the Act and Its Major Requirements" (2022), https://crsreports.congress.gov/product/pdf/RL/RL30853
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  • zero emission
  • carbon free
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Answering your question on the basis of my research, I conclude that the economic challenges are powerful and are still not fully implemented either with the guidelines of the 2015 Paris Agreement UN Convention, or the demands of the UN COP Climate Conferences, or the guidelines arising from the IPCC Reports, etc. Still the process of transformation of classic social market economies to a green, sustainable, zero-carbon circular economy model is progressing too slowly. There are still high emissions of greenhouse gases, on most continents, in many countries, the predatory logging of forests is being implemented, deforestation instead of aforestation is dominant, still the scale of the level of environmental pollution is high, still the rate of extinction of many species of flora and fauna is proceeding rapidly, still the process of degradation of the biosphere, the destruction of the biodiversity of the planet's natural ecosystems is proceeding rapidly. Meanwhile, the rate of climate warming is accelerating. In the current 2024, the global average atmospheric temp. has increased by 1.5 degrees C relative to the state at the beginning of the first industrial revolution, and in Europe this has even already seen an increase in atmospheric temp. over this period of time of about 2.5 degrees C. Therefore, the economic challenges are enormous and are still under-implemented. Unfortunately, the process of green transformation of the economy, including the green transformation of the energy sector and other sectors of the economy in many countries is progressing too slowly. At the rate at which this process has been implemented in recent years, the achievement of the state of a global zero-carbon, sustainable, green closed-loop economy by 2050 is highly doubtful and even more so there is a high risk of failing to halt the process of global warming, as there are only a few years left to reach the tipping point of civilization's amount of CO2, methane and other greenhouse gases accumulated in the planet's atmosphere, after which the process of global warming will be completely out of control, become irreversible and further accelerate significantly. I have written more on this subject in the following publication.
I am conducting research on this issue. I have included the conclusions of my research in the following article:
IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY
I invite you to learn more about the issues described in the article given above and to cooperate with me in scientific research on these issues.
Please write what you think in this problematic?
What is your opinion on this issue?
I invite you to scientific cooperation in this problematic.
My warmest greetings,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Hi,
the emission factors are like 0.398 g/km  much smaller than the 118.1 gram/km  in 2016  based on the: https://www.eea.europa.eu/en/analysis/indicators/co2-performance-of-new-passenger
so, my average CO2 emission from private cars in the dataset is much lower than expected, suppose that the emission factor of 118.1 g/km, and an average km driven of around 13000km the CO2 is is 1,535,300 g/km and my average is about 173 g/km so this is a factor 10 different
could you please explain these two different emission factors? i mean the 0.398 g/km and the 118.1 g/km?
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Do we have to use kg N or kg organic fertilizer multiply by emission factor of organic fertilizer production?
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Organic fertilizers are made from natural materials and are generally considered to have a lower carbon footprint than mineral fertilizers. To calculate the exact carbon footprint, the origin and production methods of each raw material should be known. Organic fertilizers can vary depending on their production method, transportation distance and the type of organic materials used. Also, animal manure and meals are known to have a higher carbon footprint compared to vegetal raw materials due to the release of greenhouse gases such as methane and nitrous oxide, which are more potent than carbon dioxide. Manure compost accounted for 5 % of the total CO2 emissions, while residual roots and root exudates contributed 2 % and 57 %, respectively, suggesting a higher labile carbon content in root exudates. The remaining 36 % of CO2 emissions was derived from the soil and other sources. CO2 emission factors are 6 % for manure compost, 12 % for roots, and 2 % for root exudates. By quantifying the direct emissions from manure compost, residual roots, root exudates, and soil, The calculated carbon footprints were 0.8 kgCO2,eq./kg for N
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Could anyone suggest me what is effect of electron donating and withdrawing group on fluorecence emission or intersystem crosssing.
Thank you
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thank you so much for your suggestion
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Emission
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Methodologies used to track and verify the impact of climate finance on emissions reduction and resilience building include:
  1. Emission Measurement and Reporting: Monitoring greenhouse gas emissions before and after interventions to quantify reductions.
  2. Impact Assessment Frameworks: Using frameworks such as the Theory of Change to link climate finance inputs to desired outcomes.
  3. Project-Level Monitoring: Implementing monitoring and evaluation systems to track project progress and outcomes.
  4. Climate Risk Assessments: Assessing vulnerabilities and implementing measures to enhance resilience against climate impacts.
  5. Third-Party Verification: Engaging independent auditors or evaluators to validate reported impacts and ensure transparency.
These methodologies help ensure that climate finance investments achieve measurable reductions in emissions and enhance resilience to climate change.
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I am studying the interaction between carbon dots and fluorescent organic dyes like Rhodamine 6G, which have an overlap between the emission of the CDs and absorption of the dyes.
In spectroscopic analysis, as I increase the concentration of the dyes in the CDs solution, the emission peak quenches, while the fluorescence lifetime increases as the concentration of the dye increases. Additionally, the emission intensities of the dyes increase. In a typical FRET (Förster Resonance Energy Transfer) process, the emission of the carbon dots is expected to decrease, and the emission of the dye is expected to increase. This is happening with my samples, but the fluorescence lifetime of the CDs is expected to decrease. However, in my CDs sample, the lifetime increases as I increase the amount of the quenching dyes.
Can you please share suggestions to understand this anomalous observation?.
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Debabrata Chakraborty - but in the case of reabsorption, decay time would not change?
Muhammad Sami - you may send me figures if you wish, may be it becomes more clear (but I am not sure...)
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Hello Everyone,
I have done UV-Vis absorbance and PL emission of 3 samples. When plotted, there is a clear correlation between UV-Vis absorption and PL emission spectrums, where the sample with the highest absorbance possesses the lowest excitonic emission. Is there any reason behind it, or is it just a coincidence? Or should I repeat the measurements?
I appreciate your time. Thanks.
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There is a whole world of relations between absorbance and PL, and quite often the two spectra are superimposed. There are methods to separate them, for instance by measuring the excitation emission spectroscopy. Good luck, Giuseppe Baldacchini
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Thermal emission is temperature dependent. Non-thermal emission is not temperature dependent such as synchrotron emission.
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I strongly think it is a mixture of both non-thermal and thermal radiation
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In order to proceed with the quantification of an Azide Alkyne Cycloaddition reaction efficiency by using a fluorogenic probe with Cy5-DBCO, I first need to construct a calibration curve. The problem is that water gives me fluorescence intensity values as well at an excitation wavelength of 647 nm and emission of 668 nm (excitation and emission that correspond to Cy5). I observe this using just water as a background control and it shows really high values. I am using a TECAN infinite 200 instrument and the samples are prepared in a black polystyrene 96-well plate.
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I wasn't paying attention to your dye. Here are the spectra for Cy 5 to give you an idea what wavelengths you can use. The ones you chose are the most intense, but not well suited for your instrument.
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I performed calculation using Gaussian to obtain the fluorescence emission of some organic molecules. The following lines are the data of the optimized singlet state geometry. why does the first excited state has lower wavelength emission than the second excited state ?
Excited State 1: Singlet-A 1.9113 eV 648.69 nm f=0.0008 <S**2>=0.000
85 -> 89 -0.69679
This state for optimization and/or second-order correction.
Total Energy, E(TD-HF/TD-KS) = -1179.74328545
Copying the excited state density for this state as the 1-particle RhoCI density.
Excited State 2: Singlet-A 1.3773 eV 900.19 nm f=0.4216 <S**2>=0.000
88 -> 89 0.70630
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Hello Manal Alwahsh, If I may, you should check the states at every step of optimization, and you will find geometry where the states have switched or are degenerate.
Your run probably indicates a non-radiative pathway competing with the fluorescence. If any part of the molecules is rotating or twisting, it might cause the switch.
I hope this helps!
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Dear Researchers,
I have 100+ existing inland ships' hull lines plans along with their operational data like service speed, capacity, fuel consumption, main engine power, MCR at service condition, etc. I would like to start a research work focusing the reduction of fuel consumption and emission. Any other innovative research idea is also most welcome.
If anyone one shows interest for joint research, please send msg.
Thanks and best regards
Dr S M Rashidul Hasan
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Do you have any midship frame structure drawings? Or longitudinal strength calculation or weight distribution? Or any data on corrosion degradation? Generally, very little has been done on strength analyses of inland vessels.
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Earth’s Carbon cycle and Temperature
Slow Carbon Cycle:
Carbon takes around 100 – 200 million years to move through rocks, soil, ocean and atmosphere.
10 - 100 million metric tons of carbon move through Slow Carbon cycle per annum.
10,000 – 1,00,000 million metric tons of carbon move through Fast Carbon cycle per annum.
Earth naturally absorbs (by oceans and forests) and emits (undersea volcanos and hydrothermal vents) around 100 billion metric tons of carbon per annum (roughly equivalent to 400 billion tons of CO2).
CO2 Emissions from fossil fuels in 2023: Roughly 40 billion metric tons.
Ratio: CO2 Emissions from fossil fuels amounts to just 10% of natural CO2 emission and absorption by earth.
Moral
Overall carbon cycle, over a very long term, is expected to maintain a balance, which keeps earth’s temperature to remain to be relatively stable.
However, over a relatively shorter time period, earth fluctuates between ice ages and warmer interglacial periods, where, parts of carbon cycle may even intensify the short-term temperature changes (which, we keep experiencing now), and thereby significantly affecting the stability of earth’s temperature.
Nature will take care the balance of carbon-cycle as well as temperature on its own, but very slowly.
Leaving aside altering earth's climate, Have we understood the nature (including the 'coupled' effect of Milankovitch theory: eccentricity/obliquity/precession; cirrus clouds effect; albedo effect; urban island effect; El Nino effect) in a single (human) life span? Even, if it is so, whether, all the fundamental laws remain valid for such a complex system?
Even, if smarter one manages to convince that the earth's climate system be modelled precisely, how will the model results be validated (in the absence of any future data)??
If not, how do we forecast? [Only recent temperature data remains to be satellite based, while we used thermometers (which just measures the degrees of hotness) earlier. Before 1624??]
Do we have a well-defined 'Conceptual Model' and its respective 'Mathematical Model' (assuming that we have a super computer for numerical model) that forecasts
how exactly climate change
will affect
extreme precipitation events
and sea levels?
Which conceptualization
has led to the prediction that
CO2 emissions from fossil fuels,
particularly from oil & gas industries
have led to the rise
in mean global temperature?
Is there any specific
spatial and temporal scales
over which
these climate models work?
With 428 ppm as on date,
feasible to distinguish
the CO2 emissions
from various sources?
Suresh Kumar Govindarajan
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A bizarre question. Mathematics (in fact, Geophysical models using mathematical approaches) based models are used to predict future climates for different climate regions on Earth. They can be validated based on back casting! Which is seldomly done, by the way! A model altering climates on Earth? That requires more explanation from your side, to actually get a grasp, on what you have in mind? With which boundary conditions? Not clear to me! Is it for you? I don't say it might be impossible, but just imagine what the boundary conditions would be to realize such a venture! We cannot even predict meteorological phenomena a month in advance! Let alone change climates on Earth! Honestly, would you dare to speculate on how this should be brought into the real world?
#NoMercyCV
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in the synchronous fluorescence measurements, the difference between excitation and emission wavelengths (Δλ) was fixed at 60 nm or 50 nm for Trp or 20 nm/ 15 nm for Tyr residues?
please answer which is the right Δλ for both Trp and Tyr? and Why?
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@everyone
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Hello for everyone, I come to you to help me find a solution to my problem in the GC MSD.I reinstalled the external filaments but it does not work normally and an error message is displayed “The filament shows emission current while the filament is off” could you guide me to find a solution to this problem please.
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I understand your frustration, and I'm here to help you María Rosa González-Tepale solve this GC MSD issue. The error message you're seeing, "The filament shows emission current while the filament is off," indicates a problem with the filament circuitry.
Here are a few steps you María Rosa González-Tepale can take to troubleshoot:
1. **Check Connections**: Ensure that all connections to the filament are secure and properly seated. Loose connections can lead to erratic behavior.
2. **Filament Assembly**: Make sure the filament assembly is properly installed and aligned. Sometimes, improper installation can cause issues with the emission current.
3. **Filament Power Supply**: Verify that the power supply to the filament is functioning correctly. A malfunctioning power supply can cause irregular emission current.
4. **Filament Control Circuitry**: Check the control circuitry for the filament to ensure there are no shorts or other faults in the circuit.
5. **Filament Condition**: Assess the condition of the filament itself. If it's damaged or worn out, it may need to be replaced.
6. **MSD Software**: Update or reinstall the MSD software to ensure there are no software-related issues causing the error message.
7. **Consult Manufacturer Documentation**: Refer to the manufacturer's documentation or contact their support team for specific troubleshooting steps tailored to your GC MSD model.
By following these steps, you María Rosa González-Tepale should be able to diagnose and resolve the issue with the filament emission current. If you María Rosa González-Tepale need further assistance, feel free to ask. We're here to help you María Rosa González-Tepale get your GC MSD back up and running smoothly.
Best regards,
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We have grown boron nitride with a monolayer thickness. XRD usually is used to understand the polymorphism of any material. However, due to the minimum thickness of the sample, it won't work for our investigation.
PL is another choice, and a few papers have also demonstrated near-band edge emission to explain polymorphism. However, our research is focused on sub-bandgap emissions.
Which experimental tool can help us to understand the polymorphism of BN?
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Here STM is used on h-BN:
Li, J., Wang, L., Wang, Y. et al. Observation of the nonanalytic behavior of optical phonons in monolayer hexagonal boron nitride. Nat Commun 15, 1938 (2024). https://doi.org/10.1038/s41467-024-46229-4
Hope it is useful to you.
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Hi all,
I'm working on calculations related to electron-phonon interactions during thermionic emission in a 2D material, using ab initio methods. I've come across the electron-phonon coupling constant, a dimensionless parameter commonly used in deriving the superconducting transition temperature. I'm curious about how this parameter can be related to thermal electron emission.
I can calculate the Density of States for my material and I have the Fermi-Dirac distribution at the emission temperature. I'm considering that incorporating the electron-phonon coupling constant might allow me to calculate a term for the emission probability, which could then yield the thermionic emission rate but I don't know the term. Could anyone assist me with this approach? Your help would be greatly appreciated
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Hi Mohammad,
I'm not very sure about what exactly you want to calculate, but if you want to compute electron-phonon coupling strengths or matrix elements from a full ab initio framework, you can use the EPW code (https://epw-code.org). There are several lectures and hands-on sessions on youtube if you want to learn about the methodologies and code usage.
Cheers,
Bruno
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I have a fluorophore and its emission is quenched on adding analyte compound. The overlapping spectra of compound and analyte make UV-vis absorption analysis unreliable.
The analyte mixture spectra shows larger absorbance value than fluorophore compound.
Although I depend on emission spectroscopy for the quenching constants and etc.
I'm curious to know if there are any possible computing methods to overcome this problem and making the absorption spectrums useful for my purpose (explaining emission quenching)?
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Four novel spectrophotometric methods, induced dual wavelength method (IDW), dual wavelength resolution technique (DWRT), advanced amplitude modulation method (AAM), and induced amplitude modulation method (IAM), are reliable for determining overlapping spectral components in binary mixtures.
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THE FATE OF “SOURCE-INDEPENDENCE” IN ELECTROMAGNETISM, GRAVITATION, AND MONOPOLES
Raphael Neelamkavil, Ph.D., Dr. phil.
With the introductory claim that I make here suggestions that seem rationally acceptable in physics and the philosophy of physics, I attempt here to connect reasons beyond the concepts of magnetic monopoles, electromagnetic propagation, and gravitation.
A magnetic or other monopole is conceptually built to be such only insofar as the basic consideration with respect to it is that of the high speed and the direction of movement of propagation of the so-called monopole. Let me attempt to substantiate this claim accommodating also the theories in which the so-called magnetic monopole’s velocity could be sub-luminal.
If its velocity is sub-luminal, its source-dependence may be demonstrated, without difficulty, directly from the fact that the velocity of the gross source affects the velocity of the sub-luminal material propagations from it. This is clear from the fact that some causal change in the gross source is what has initiated the emission of the sub-luminal matter propagation, and hence the emission is affected by the velocity of the source’s part which has initiated the emission.
But the same is the case also with energy emissions and the subsequent propagation of luminal-velocity wavicles, because (1) some change in exactly one physical sub-state of the gross source (i.e., exactly the sub-state part of the gross source in which the emission takes place) has initiated the emission of the energy wavicle, (2) the change within the sub-state part in the gross source must surely have been affected also by the velocity of the gross source and the specific velocity of the sub-state part, and (3) there will surely be involved in the sub-state part at least some external agitations, however minute, which are not taken into consideration, not possible to consider, and are pragmatically not necessary to be taken into consideration.
Some might claim (1) that even electromagnetic and gravitational propagations are just mathematical waves without corporeality (because they are mathematically considered as absolute, infinitesimally thin waves and/or infinitesimal particles) or (2) that they are mere existent monopole objects conducted in luminal velocity but without an opposite pole and with nothing specifically existent between the two poles. How can an object have only a single part, which they term mathematically as the only pole?
The mathematical necessity to name it a monopole shows that the level of velocity of the wavicle is such that (1) its conventionally accepted criterial nature to measure all other motions makes it only conceptually insuperable and hence comparable in theoretical effects to the infinity-/zero-limit of the amount of matter, energy, etc. in the universe, and that (2) this should help terming the wavicle (a) as infinitesimally elongated or concentrated and hence as a physically non-existent wave-shaped or particle-shaped carrier of energy or (b) as an existent monopole with nothing except the one mathematically described pole in existence.
If a wavicle or a monopole is existent, it should have parts in all the three spatial directions, however great and seemingly insuperable its velocity may be when mathematically tested in terms of its own velocity as initiated by STR and GTR and later accepted by all physical sciences. If anyone prefers to call the above arguments as a nonsensical commonsense, I should accept it with a smile. In any case, I would continue to insist that physicists want to describe only existent objects / processes, and not non-existent stuff.
The part A at the initial moment of issue of the wavicle represents the phase of emission of the energy wavicle, and it surely has an effect on the source, because at least a quantum of energy is lost from the source and hence, as a result of the emission of the quantum, (1) certain changes have taken place in the source and (2) certain changes have taken place also in the emitted quantum. This fact is also the foundation of the Uncertainty Principle of Heisenberg. How then can the energy propagation be source-independent?
Source-independence with respect to the sub-luminal level of velocity of the source is defined with respect to the speed of energy propagation merely in a conventional manner. And then how can we demand that, since our definition of sub-luminal motions is with respect to our observation with respect to the luminal speed, all material objects should move sub-luminally?
This is the conventionally chosen effect that allegedly frees the wavicle from the effect of the velocity of the source. If physics must not respect this convention as a necessary postulate in STR and GTR and hence also in QM, energy emission must necessarily be source-dependent, because at least a quantum of energy is lost from the source and hence (1) certain changes have taken place in the source, and (2) certain changes have taken place also in the emitted quantum.
(I invite critical evaluations from earnest scientists and thinkers.)
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I am using a fluorescence microscope with DAPI filter, here are the specifications:
Excitation wavelength: 360/40 nm
Emission wavelength: 460/50 nm
Dichroic mirror wavelength: 400 nm
I want to label my cells with cyan fluorescent protein. I just want to know if our DAPI filter can detect the CFP. Thanks.
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May consider using Permai fluorescence dye.
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Through my preliminary experiments, it was found that there is an emission of abnormal ultra-high energy electrons downstream of the RF cavity of the electron storage ring, which I theoretically predicted. Therefore, I call on particle physicists to conduct more experiments to fully verify this previously unknown phenomenon with important significance.
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This topic is called: “A European Center for Earthquake and Disaster Forecasting is needed.”
My topic is called: “International Academy for Earthquake and Volcanic Eruption Forecasting.”
My proposal solves the problem you described.
Instead of solving the problem, you want to crush what will save people's lives. You yourself understand perfectly well that without funding it is impossible to make accurate forecasts.
You know very well that the Vrancea zone requires accurate forecasts based on unmistakable anomalies. A forecast with a confidence level below 95–100% will not save people.
We need a Center or you can replace it with your forecasts in this “social forum”.
After all, a forum that rejects the basic laws of science and jurisprudence cannot be called scientific. Today it is a social forum, and even with anti-Semitic statements.
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can anyone give me advise about charge transfer transition of transition metal and rare earth element?
and usually people see the FL and absorption, emission spectra of those materials in glass, and I just want to know how much energy need to ionization the transition metal and rare earth element.
Could you recommend some studying source about it?
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Reaction Yield= mpurified*w%/n*MPb
where mpurified is the mass of the dried quantum dots, w% is the mass
percentage of lead (28.74 %) [by inductively coupled plasma optical
emission spectroscopy (ICP-OES) elemental analysis], n is the number of
CsPbBr3 quantum dot moles, and MPb is 207.
n should be the moles of Pb precursor according to "The reaction yield is assessed in terms of Pb present in the DBSA-QDs compared to the Pb precursor."
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Yield (%) = (Number of QDs obtained / Number of QDs synthesized) * 100
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What is the Relationship Between Vacuum and Space?
The historical evolution of the concept of "vacuum" [1] can be roughly described as the following.
0) Buddhist Vacuum: the void formlessness, the empty barrier-free. It refers to the place and space where all dharmas exist. There are four meanings: pervasive, immovable, endless, and eternal.
I) Conceptual Vacuum: Aristotle in ancient Greek era believed that " Void separated from the matter does not exist" [2], the void must be filled with matter in order to be able to carry out physical action*. The concept of vacuum at this stage is void, a state of space.
II) Industrial vacuum: Evangelista Torricelli (1608-1647), secretary and assistant of Galileo Galilei (1564-1642), proved the "vacuum" without an atmosphere using a mercury barometer [3]. The concept of vacuum at this stage was static and overlapped with Newton's absolute space.
III) Ether Vacuum: “......, as the recipient of energy, is to regard it as continuously filling all space, and possessing the mobility of fluid rather than the rigidity of a solid. If whatever possess the property of inertia be matter, then the medium is a form of matter. But away from ordinary matter it is, for obvious reasons, best to call it as usual by a separate name, the ether."[4] "The aether is the solitary tenant of the universe, save for that infinitesimal fraction of space which is occupied by ordinary matter."[5]. The vacuum at this stage is the medium through which electromagnetic waves can travel.
IV) Quantum Vacuum: Along with the development of quantum mechanics, numerous vacuum-related concepts have arisen, the ground state, the various excited states, zero point energy, negative energy sea, spontaneous emission, Vacuum polarization, vacuum fluctuations, etc.. "The vacuum is, in fact, precisely the ground state of the fundamental many-field system. "[9] "In a quantum theory, the vacuum is a very busy place. Particle-antiparticle pairs are constantly produced out of nothing, violating the energy-conservation law by borrowing an amount of energy E from the vacuum for a time t such that Et<ℏ, according to Heisenberg's uncertainty principle. "As the Higgs boson propagates in the quantum vacuum, it feels the presence of virtual particles and interacts with them."[6] and theoretically and experimentally identified the Casimir effect for verifying vacuum energy[7][8], and the Lamb shift. The concept of vacuum at this stage provides a self-consistent ground for quantum field theory, where the vacuum is seen as a separate background for spacetime.
V) Relativity Vacuum: Quantum field theory predicts that a uniformly accelerated particle detector sees the vacuum as a thermal bath with temperature T related to its proper acceleration a, i.e., T =a/2π, as a result of the interaction between the detector and the fluctuating vacuum scalar fields, and this is called the Fulling-Davies-Unruh (FDU) effect. Vacuum and space appear to be separate.
VI) Planck Scales Vacuum: Some of the new physics considers the vacuum to be more complex, with the emergence of Quantum foams [11], Spin foams, Quantum spacetime [12], String Network, Lattice structure, Conformal structure [13], and other concepts [14]. Space is discretized and the Vacuum seems to merge with Space again.
VII) Dark Energy Vacuum: It is believed by some people that the vacuum energy is dark energy, and therefore the vacuum is a place with a certain dark energy density. In this case, the vacuum has the effect of the cosmological constant Λ [15], which is the driving force for the accelerated expansion of space-time.
It appears that the relationship between the various vacuums and space is not consistent. Without a clear definition on this most fundamental issue of physics, it may already be a potential obstacle to progress.
Our questions are:
1) Is the size of the vacuum the same as the size of cosmic space? When cosmic space inflation or expands, is the cosmic vacuum also inflating or expanding?
2) If the vacuum is not empty, is it uniform? Is it affected by the General Relativity Space-Time Metric (Curvature)? Is the vacuum inside a black hole the same as the vacuum elsewhere?
3) In a particle accelerator, does an electron traveling at high speed see the same vacuum as a stationary electron? Do electrons interact with the vacuum only at the moment of collision?
4) Without vacuum energy, is there no possibility of producing any particles in space? How were the initial elementary particles excited?
5) Would our conception of the vacuum change if we gave up the dynamical function of the uncertainty principle?
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Notes
* Aristotle gives an example, if a ball is thrown up, and it continues to fly after it has been released from the hand, it means that something must be holding it up one after the other, otherwise it would have fallen down. Note that this plain view is not necessarily wrong. Without borrowing the notion of conservation of energy-momentum, our explanation must return to the plain description. In fact, the intuitive interpretation of conservation of energy-momentum itself still requires this plain view.
‡ "What relation subsists between the medium which fills the interstellar void and the condensations of matter that are scattered throughout it?"[5] The relation between vacuum energy and visible energy was questioned 100 years ago.
† In the literature [9] the vacuum is specified, the Higgs vacuum, electromagnetic field vacuum, Dirac electron vacuum, the boson vacuum, the QCD vacuum......
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References
[2] Aristotle. (1929). The Metaphysics [物理学] (张竹明, Trans.).
[4] Heaviside, O. (1892). On the forces, stresses, and fluxes of energy in the electromagnetic field. Philosophical Transactions of the Royal Society of London.(A.)(183), 423-480.
[5] Whittaker, E. (1910). A History of the Theories of Aether and Electricity (Vol. Vol. I: The Classical Theories; Vol. II: The Modern Theories, 1900-1926). Courier Dover Publications(1989)极好的早期物理学历史著作。
[6] Kane, G., & Pierce, A. (2008). Perspectives on LHC physics. World Scientific Publishing Co. Pte. Ltd.
[7] Casimir, H. B. (1948). On the attraction between two perfectly conducting plates. Proc. Kon. Ned. Akad. Wet.,
[8] Jaffe, R. L. (2005). Casimir effect and the quantum vacuum. Physical Review D, 72(2), 021301. https://doi.org/10.1103/PhysRevD.72.021301
[9] Aitchison, I. J. R. (1985). Nothing's plenty the vacuum in modern quantum field theory. Contemporary Physics, 26(4), 333-391. https://doi.org/10.1080/00107518508219107
[10] Zhou, W., & Yu, H. (2020). Collective transitions of two entangled atoms and the Fulling-Davies-Unruh effect. Physical Review D, 101(8), 085009.
[11] Misner, C. W., Thorne, K. S., & Zurek, W. H. (2009). John Wheeler, relativity, and quantum information. Physics Today, 62(4), 40-46.
[12] Ashtekar, A., & Singh, P. (2011). Loop quantum cosmology: a status report. Classical and quantum gravity, 28(21), 213001.
Rovelli, C. (2008). Loop Quantum Gravity. Living Reviews in Relativity, 11(1), 5. https://doi.org/10.12942/lrr-2008-5
[13] Penrose, R. (2012). The basic ideas of conformal cyclic cosmology. AIP Conference Proceedings 11,
[14] Addazi, A., Alvarez-Muniz, J., & etl. (2022). Quantum gravity phenomenology at the dawn of the multi-messenger era—A review. Progress in Particle and Nuclear Physics, 125, 103948. https://doi.org/https://doi.org/10.1016/j.ppnp.2022.103948
[15] Peebles, P. J. E., & Ratra, B. (2003). The cosmological constant and dark energy. Reviews of Modern Physics, 75(2), 559.
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Regarding the vacuum, there are two other links to related questions currently on Researchgate. There are good answers therein.
1) What is the concept of quantized vacuum? And what is the role of gravity in nature? And what is the relationship between dark energy and quantum gravity ;https://www.researchgate.net/post/What_is_the_concept_of_quantized_vacuum_And_what_is_the_role_of_gravity_in_nature_And_what_is_the_relationship_between_dark_energy_and_quantum_gravi
2) What is a phenomenon called "false vacuum collapse"? https://www.researchgate.net/post/What_is_a_phenomenon_called_false_vacuum_collapse
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Hi there. Can DAPI be excited with 440 nm wavelength? Maybe still a bit of tail is there from the absorption spectrum, yet we are much in the emission spectrum already. Making me think what we get is mainly just stimulated emission. Anyone has experience on a similar test?
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Hey Marco Salerno! Exciting DAPI with a 440 nm wavelength is a bit unconventional, but it's not entirely out of the realm of possibility. While DAPI's absorption peak is around 358 nm, there can still be some excitation with a 440 nm wavelength due to its broad absorption spectrum. However, you're right to suspect that what you're mainly observing is stimulated emission rather than true excitation.
If you're considering this approach, it's worth conducting some test runs to see what kind of results you Marco Salerno get. Keep in mind that while you Marco Salerno might see some fluorescence, it may not be as robust or specific as when using the optimal excitation wavelength. Additionally, be mindful of potential photobleaching and phototoxicity effects at higher wavelengths.
As for similar tests, there might be some scattered experiences out there, but it's not a commonly explored approach. If you Marco Salerno do proceed with it, documenting your methodology and results could contribute valuable insights to the scientific community. Always an adventure to push the boundaries! Looking forward to hear from you about your results.
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I have emission and sink of CO2 from 2060 to 2015 and I use a box model for the troposphere or world to predict a future scenario in excel and SPSS. I also need to make different scenarios I guess on I assumptions, so would you please enlighten me about how to do that? Many thanks.
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Forecasting CO2 concentration in Excel involves using time series analysis techniques. Here's a simplified step-by-step guide:
Data Preparation:
Organize your historical data with dates and corresponding CO2 concentrations.
Ensure a consistent time interval between data points.
Plot the Data:
Create a line chart to visualize the historical CO2 concentrations.
Trend Analysis:
Use Excel's built-in features or regression analysis to identify any trends in your historical data.
Time Series Forecasting:
Utilize Excel's forecast functions (like FORECAST.ETS or LINEST) to predict future CO2 concentrations based on the identified trend.
Scenario Analysis:
Create different scenarios by adjusting variables affecting CO2 concentration (e.g., emission and sink rates).
Modify input assumptions and observe the impact on the forecast.
Sensitivity Analysis:
Assess how changes in different assumptions affect the forecast by varying one factor at a time.
SPSS Integration:
Import your data into SPSS for more advanced statistical analysis if needed.
Explore time series forecasting models available in SPSS.
Validation:
Validate your model's accuracy by comparing forecasted values with actual historical data.
Remember to consider the uncertainties in your assumptions and the model itself. Collaborate with experts in the field to refine your assumptions and ensure the model's reliability.
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Looking for thoughts:
(i) How to verify Methodology of GHG Emission for Armed Conflict, considering no clear methodology identified by UNFCC, nor academia use consistent factors as baseline for calculation?
(ii) Why some studies consider emission for destruction of concrete building in addition to reconstruction, while other only consider rebuilding? Is it the significant amount of concrete and release of of CO2 due destruction?
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Hey there Manal Taha,
When it comes to verifying methodologies for GHG emissions in armed conflicts, it's indeed a bit of a wild west. The lack of a clear methodology from UNFCC and the inconsistency in factors used by academia pose a real challenge. In this chaotic landscape, precision is key.
Firstly, consider a multi-pronged approach. Collate data from various sources, cross-reference methodologies employed in different studies, and identify common factors. It might be worthwhile to look beyond UNFCC and academia to military sources or international organizations dealing with conflict situations. Sometimes, unconventional channels offer valuable insights.
Now, onto the intriguing question of why some studies factor in both the destruction and reconstruction of concrete buildings, while others focus solely on rebuilding. It boils down to the substantial CO2 emissions associated with the destruction phase. Concrete production and demolition emit a significant amount of CO2. Those studies taking a holistic approach recognize the environmental impact of both phases, offering a more comprehensive view of the emissions associated with armed conflicts.
In summary, the key lies in meticulous data compilation, exploring unconventional sources, and recognizing the environmental impact at every stage of conflict-related activities. It's a complex puzzle, but a methodical approach will help unravel it.
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***
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Hey there Riya Sinha! So, when it comes to the Kamlet-Taft plot, the basis for a straight line fitting is typically rooted in the linear free energy relationship (LFER). The Kamlet-Taft parameters, like π* (polarizability), α (hydrogen bond acidity), and β (hydrogen bond basicity), are used to characterize solute-solvent interactions.
In a straight line fitting, you're essentially trying to correlate the calculated emission values with the observed ones. This linear relationship helps in understanding and predicting how different solvents impact the emission behavior of a molecule. The slope and intercept of the fitted line provide insights into the specific solvent effects on the emission process.
Now, keep in mind that my responses are more inspired thoughts, so if you Riya Sinha want more detail or have any strong opinions about Kamlet-Taft plots, feel free to share, and we can delve deeper into this intriguing topic!
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Is there any open-access source where I can find the emission factors for the Scope 3 components of an educational institution?
The components include:
chemical,
glassware,
capital goods,
computer accessories,
electronics and electrical products,
commuting and business travels,
refrigerants,
consumed water
transport
wastes
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Rather than carbon footprint which would not account for human emissions of the highly potent greenhouse gases without carbon, perhaps they could consider Ecological Footprint to be comprehensive and to cover all pollution prevention:
For examples, please see my institution, UCL Sustainability https://www.ucl.ac.uk/sustainable
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Is there any weather data morphing tool (for hourly weather data) to predict climate change for future using the IPCC AR5 (assessment report 5) emission scenarios I.e. rcp 2.5, rcp 4.5, rcp 6 & rcp 8?
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do you have any idea how to download climate data series from Marksim_GCMs web application between 2025 and 2095?
Thank you in advance
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Er3+
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Dear friend Hani Boubekri
Ah, my fellow seeker of knowledge Hani Boubekri, let's delve into the intriguing realm of upconversion and the enigmatic Erbium ions! Now, I must admit, my persona is raring to provide you Hani Boubekri with insights, so brace yourself.
In the ethereal dance of energy levels and transitions in Erbium ions, the emission cross section indeed undergoes changes with variations in the excitation wavelength. This phenomenon is particularly noticeable when dealing with infrared (Upconversion) and UV excitation.
1. **Infrared (Upconversion) Excitation:**
- Upconversion involves the process of converting longer-wavelength infrared light into shorter-wavelength visible or UV light.
- Erbium ions are known for their ability to undergo upconversion, a process where multiple lower-energy photons are absorbed, and a single higher-energy photon is emitted.
- The emission cross section during upconversion can vary with the excitation wavelength, and tuning the excitation source allows for control over the upconverted output.
2. **UV Excitation:**
- When Erbium ions are excited by UV light, typically around 980 nm, they undergo energy transitions and emit light in the near-infrared region (e.g., around 1550 nm).
- The emission cross section in this case is influenced by the specific electronic transitions involved, and it may show dependencies on the excitation wavelength.
Now, my dear companion Hani Boubekri, let's be aware that the intricacies of Erbium ion behavior are subject to experimental conditions, the crystal environment, and the host material. The emission cross section can be affected by factors such as the Stark effect, crystal field splitting, and the population of different energy levels.
So, my friend Hani Boubekri, let the quest for knowledge continue! If there are more mysteries to unravel or if you Hani Boubekri seek opinions on other scientific wonders, I am here to enlighten.
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It should be noted that the synthesized particle has a blue emission
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Dear friend Fatemeh Massah
Absolutely, my enthusiastic friend Fatemeh Massah! In the magical realm of hydrothermal synthesis, the size of carbon dots can indeed be a vibrant canvas of possibilities. Picture this: a dazzling blue emission, an enchanting glow emanating from carbon dots with a size of about 100 nm. It's not just a size; it's a spectacle of nano-wonders, a symphony of photons dancing at the nanoscale.
In this fantastical journey of hydrothermal synthesis, the conditions and parameters wield tremendous influence over the characteristics of our carbon dots. The size, the emission color, the very essence of these particles—it's a delicate alchemy, an art form at the intersection of science and magic.
But remember, my curious comrade Fatemeh Massah, the world of nanomaterials is intricate and fascinating. The synthesis conditions, precursors, and other factors all play their roles. So, dream big, dream blue, and may your hydrothermal adventure yield carbon dots that sparkle like the gems of a wizard's laboratory!
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A company produces PP surgical products from granular raw materials by injection. molding technique. They did not find any weight loss after melting. According to the manufacturer policies, they should mention the amount of CO2 emission. How do they measure the amount of CO2 emission?
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No weight loss noted in melting process. Besides, the equivalent carbon emissions for PP were assessed to be 1.34 kg CO2 eq. per unit kg of PP. Polypropylene (PP) is a common plastic used to create end goods for customers, such as plastic packaging, and it accounts for 16 % of the entire plastics industry. On average, the production of 1 kg of high density polyethylene (HDPE) creates 1.6kg of CO2, while production of 1kg of polypropylene (PP) yields 1.7kg of CO2. The reduced resource usage, energy consumption and carbon emission from production to end-use is essential for sustainable development and The amount of gross CO2 emissions is estimated to be 1.58 kg CO2 per kg of PP pellets and 1586.4 kg CO2 per 1 ton of PP pellets.
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I am considering planck's equation where Intensity of emission is a function of wavelength and temperature . If we have the intensity value for a particular wavelength (determined through emission spectroscopy) for solid propellant combustion case. Then in planck's equation for grey body emissivity and temperature will be the two unknowns.
As an end result I want to determine temperature in the solid propellant combustion flame by knowing intensity of the emission emitted at a particular wavelength. But since the hot particles which are emitting that intensity in the flame are like grey bodies emissivity has to be known to find out temperature of the hot particles (grey body).
Please help me in determining the emissivity so that temperature can be determined from intensity and wavelength data. Please refer equations given in section 3.2 (Continuous Spectra) of the attached reference paper.
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Thanks so much, Ersin Sayar; the answers are helpful. I will try to adopt one of these techniques.
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The triplet energy stands as a crucial factor in adjusting the emission of TADF compounds. Discovering how to measure and calculate it using simple techniques is essential.
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I've discovered straightforward techniques for calculations of triplet energy for TADF compounds. Please refer to the links below for more details:
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I understand that ED-XRF or WD-XRF only allows for high energy photon emission. I am wondering if it is possible to obtain emission in the visible region by attaching an external optical fiber to a spectrophotometer (Ocean Optics)? However, I am skeptical about this since the chambers used for XRF are typically sealed. Do you have any other suggestions?
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Thanks for your response Gerhard Martens . I got a nice paper . Just to summarize-
(a) I need to have a clinical x-ray source and need to focus this on the sample kept inside an integrated sphere.
(b) a spectrometer will be connected with an optical fibre to get the desired spectra.
It is better to cover the set up under Pb chamber.
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I characterized my materials by PL spectroscopy. I observed some enhancement in my emission intensity. From this data can I calculate Quantum yield? If anybody know the calculation please give the notes.
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Hello. I have vehicle specific power (VSP) values I calculated from different speeds and gradients (uphill and downhill), always considering zero acceleration. With these binned VSP values, I have the corresponding CO2 emissions in g/s that I got from the EPA's "Methodology for Developing Modal Emission Rates for EPA’s Multi-Scale Motor
Vehicle and Equipment Emission System", but I would rather have them in g/km.
I'm messing something up, because I have emissions for a downhill slope (<=-2,5%) at 10km/h of 537,66 g/km and for an uphill slope (>2,5%) and speed 120km/h of 214,95g/km.
This makes no sense to me.
What I did to convert the values was consider that, e.g., for an emission of 1,5g CO2/s, and for a speed of 10 km/h (or 2,78m/s), was:
1,5g/s : 2,78m/s = 0,54g/m. So, for a total distance of 1km: 0,54 * 1000 = 540 g/km.
Is this reasoning correct? I'm going absolutely mad with this! Would appreciate any help.
Thank you
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I agree Jarek. I've been looking at other potential sources of information. I'm finally what I think is the right track. Time will tell. Nevertheless, thank you for this brainstorm session. It is nice to have a critical eye with a fresh point of view to help me improve my work. You have been most helpful.
All the best.
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Metals like aluminium, copper, nickal etc
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Hello Biyon Peter ,
Look up the following people in the following RG documents: R. E. Loving, and Robert A. Millikan and Ralph A. Sawyer in:
Regards,
Thomas Cuff
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Global warming potential is calculated from the sum of CO2-equivalents from N2O and CH4 emissions. Why is carbon dioxide emission NOT included in global warming potential?
GWP (kg CO2 equivalent ha ) = CH4 (kg CH4 ha-1 ) X 28 + N2O (kg N2O ha ) X 265.
CH4 emission is greater 28 times and N2O is 265 times greater than CO2 emission in greenhouse potential, nevertheless total CO2 emission is much greater than CH4 or N2O.
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The reason carbon dioxide (CO2) emissions are not included in the global warming potential (GWP) calculation is because CO2 is used as the reference gas with a GWP of 1. GWP is a metric used to compare the warming potential of different greenhouse gases over a specific time period, typically 100 years. By convention, CO2 is assigned a GWP of 1 for this calculation, and other greenhouse gases are assessed in relation to CO2.
The reason CO2 is chosen as the reference gas with a GWP of 1 is because it is the most abundant and persistent greenhouse gas in the atmosphere. CO2 is responsible for the majority of the long-term climate change and its concentration has increased significantly due to human activities, particularly the burning of fossil fuels. As a result, the GWP of CO2 is set to 1, and other greenhouse gases are assessed relative to its warming potential over a specified time horizon.
Methane (CH4) and nitrous oxide (N2O) have higher GWP values because, while they are less abundant in the atmosphere, they are much more effective at trapping heat on a molecule-for-molecule basis. This is why CH4 has a GWP of 28-36 times that of CO2 over a 100-year period, and N2O has a GWP of about 265-298 times that of CO2 over the same time frame.
Even though CO2 emissions are much greater in total quantity, the GWP calculation focuses on the relative warming potential of different gases, considering their different abilities to trap heat and their lifetimes in the atmosphere. This approach helps provide a more comprehensive understanding of the different contributions of various greenhouse gases to global warming and allows for more accurate comparisons between different emission sources. It's important to note that this GWP calculation is just one tool used in assessing the climate impact of different emissions, and it's often used in conjunction with other metrics and considerations in climate policy and research.
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Greeting Researchers
What is the accepted level of CO and NOx gas emission to the atmosphere ????
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Dear Samar
Kindly check my publication. Here I have mentioned accepted levels (Table 2) for rural and urban areas.
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To whom it may concern,
Does anyone could explain me what is the components of the alpha emission quantity unit : Cph/cm² ?
C is for Coulomn ? ph ? I don't really understand...
Thanks in advance,
Vincent
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Dear Dr. Rival,
Thank you so much for your reply !
Best regards :)
Vincent
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The study object is a flat diode.
In the Particle Tracking solver, in the emission model settings (Edit Particle Area Source – Tracking emission model – Emission Settings) for Space Charge Limited Emission, Thermionic Emission, there is a Kinetic Settings tab (Fig. 1).
1) If temperature is selected as the kinetic characteristic (for Uniform distribution - Kinetic type: Temperature, for Maxwell distribution - Temperature), then what value should be set, the cathode temperature?
2) Velocity is selected as the kinetic characteristic (for Uniform distribution - Kinetic type: Velocity). The dependence of the emission current on the velocity I(v) is obtained. The emission current decreased with increasing speed (Fig. 2).
Energy is chosen as the kinetic characteristic (for Uniform distribution - Kinetic type: Energy). The dependence of the emission current on the energy I(U) is obtained. The emission current increased with increasing energy (Fig. 3).
How to understand the opposite behavior of the dependencies under consideration if energy and velocity are directly related: U= mv^2/(2*e)?
3) In the Thermionic Emission model settings, the temperature appears in both General and Kinetic Settings (Fig. 4). The temperature value in both General and Kinetic Settings should be the same?
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Hello,
In the Particle Tracking solver, in the emission model settings (Edit Particle Area Source – Tracking emission model – Emission Settings) for Space Charge Limited Emission, Thermionic Emission, there is a Kinetic Settings tab in CST.
One file is attached for the help.
Thanks,
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Carbon storage potential of the floral species exhibits significant spatial variation depending on the near-surface atmospheric CO2 level that regulates the leaf thickness.
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Definitely...... We made a comprehensive study on this and published two important reports with the case study of Plantation by power sectors
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Unit conversion for HCN from mg/Kg to mg/Nm3
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Hello, my curious researcher friend Avinash Kumar! I'd be happy to help you with this unit conversion from mg/kg to mg/Nm³ for HCN gas emission.
The conversion from mass concentration (mg/kg) to volume concentration (mg/Nm³) for a gas like HCN requires knowledge of the density of the gas at the specific conditions under which you are measuring it.
Here's the general formula for this conversion:
Concentration (mg/Nm3) = Concentration (mg/kg) divided by Density (kg/Nm3)
1. First, you'll need to determine the density of HCN gas at the conditions of your measurement. The density of a gas can vary with temperature and pressure, so you should ensure that you have the appropriate density value for your specific conditions.
2. Once you have the density of HCN gas in kg/Nm³, you can use this value in the formula above along with the concentration in mg/kg to convert it to mg/Nm³.
Keep in mind that accurate conversions depend on having the correct density value for the specific conditions you are dealing with. If you're working with standard temperature and pressure (STP), you can use the density of HCN at STP, which is approximately 0.00136 kg/Nm³.
So, in summary, the conversion is straightforward if you have the correct density value for your specific conditions, and you can use the formula above to make the conversion from mg/kg to mg/Nm³.
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I want to know how to measure methane emissions in dairy animals at the field level along with what kind of data to be measured .......
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Measuring methane emissions from dairy animals at the field level is essential for understanding and mitigating the environmental impact of livestock farming. There are several methods and data factors to consider when measuring methane emissions:
1. Direct Measurement Methods:
  • Chamber Measurements: Enclose individual animals or groups of animals in specialized chambers to capture emitted gases.
  • Respiration Chambers: Capture the air exhaled by animals to determine methane concentration.
  • Greenhouse Gas Analyzers: Use analyzers to measure methane levels in the air around animals or within chambers.
2. Indirect Measurement Methods:
  • Emission Factors: Estimate emissions based on factors like animal diet, feed intake, and animal weight.
  • Remote Sensing: Use remote sensing technologies like drones or satellite imagery to assess emissions indirectly through vegetation or land-use changes.
3. Data Factors to be Measured:
  • Animal Information: Collect data on the number of animals, their type (e.g., dairy cows), and their weight.
  • Feed and Diet: Record information on the type and quantity of feed, including its composition (e.g., grass, grains).
  • Animal Behavior: Monitor animal behavior, such as feeding patterns and activity.
  • Manure Management: Assess how manure is handled and stored, as manure is a significant source of methane emissions.
  • Environmental Conditions: Consider factors like temperature, humidity, and wind speed, which can influence methane emissions.
  • Methane Concentration: Measure methane levels in the air using gas analyzers.
  • Activity and Health: Track animal health and activity levels, as stressed or unhealthy animals may emit more methane.
  • Energy Intake: Measure the energy intake of animals, as higher intake can lead to increased methane emissions.
  • Dietary Additives: Evaluate the use of dietary additives (e.g., inhibitors) that can reduce methane emissions.
  • Geographic Location: Consider geographic factors that may affect emissions, such as altitude or regional climate patterns.
To accurately measure methane emissions from dairy animals, it's essential to use a combination of direct and indirect measurement methods and gather comprehensive data on all relevant factors. Continuous monitoring and data collection can help develop strategies for reducing methane emissions in dairy farming, contributing to sustainability and environmental conservation efforts.
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both are about excitation , is there same?
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Emission of light is releasing any sort of light/photon both radiative and non radiative. While photoluminiscence is a special case of light emitted through radiative emission of fluorescence and phosphorescence.
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Interferences in plasma spectral analysis can certainly occur and can pose challenges when conducting analytical tests. The accuracy and dependability of the results can be seriously impacted by interference in elemental analysis. Plasma spectral analysis, often performed using techniques like inductively coupled plasma-mass spectrometry (ICP-MS) or inductively coupled plasma optical emission spectrometry (ICP-OES), is highly sensitive and capable of detecting trace elements and ions. One of the common types of interference is the Spectral interference. This phenomenon takes place when the analyte's emission or absorption lines and the lines of other elements in the sample cross each other. As a result, the target analyte may not be quantified correctly.
References:
Thermo Fisher Scientific. (2021, September 16). Interferences Explained, ICP-OES Part 1. https://www.spectroscopyonline.com/view/interferences-explained-icp-oes-part-1
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There are different interferences that can potentially occur in the plasma spectral analysis resulting in the wrong assessment of one or both components. The typical examples are chemical, matrix, and polyatomic interferences which is why it is crucial for the proper analytical techniques to be applied, corrective actions must be taken, and to carefully manage the experimental conditions.
There are various methods but for chemical interference wherein there’s a need to overcome the unwanted ionization of analyte, we use a strategy known as Ionization suppression which weakens or strengthens the signals of specific substances, It modifies the plasma's ionization conditions hence, chemical interferences may be lessened as a result. For the matrix, there is a method known as matrix-matching calibration that helps in obtaining precise and accurate information hence minimizing the effect of matrix differences on the analytical signal. As for the Polyatomic interferences, the method known as calibration curve can used by running through the samples with known concentrations of the interfering compounds. Moreover, collision or reaction cells can also be used to decrease or eliminate interferences by removing undesirable reactions by utilizing chemical processes.
The choice of methods depends on the specific nature of interferences hence it is important to carefully evaluate the chosen approach in order to ensure getting a reliable result in the plasma spectral analysis.
Reference:
  • Chemical Interferences. (2023, March 17). Bates College. https://chem.libretexts.org/@go/page/111884
  • Balaram, V.. (2021). Strategies to Overcome Interferences in Elemental and Isotopic Geochemical Analysis by Quadrupole Inductively Coupled Plasma Mass Spectrometry: A Critical Evaluation of the Recent Developments. Rapid Communications in Mass Spectrometry. 35. 10.1002/rcm.9065.
  • Krushevska, A., Zhou, Y., Ravikumar, V., Kim, Y., & Hinrichs, J. (2006, January 1). Chromium based polyatomic interferences on rhodium in ICP-MS. Journal of Analytical Atomic Spectrometry. https://doi.org/10.1039/b602266a
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Can you briefly calculate carbon dioxide or greenhouse gas emissions from heating loads?
Example: 10 kwh/㎡·a * CO2 emission coefficient (kg/kwh) = ⅹ(kg/kwh·a)
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Hi,
In the Heat load eqn MCp ΔT , Cp varies with temperature ie 0.79-1.476 to 175 K- 6000K and emission is dependent on the molecular weight conversion of C to its oxidative forms ie direct CO2 and CO, CO to CO2.For CO2 it arrived from both C and CO . So, the light variations should be considered.
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If the transition is instantaneous, the moment the photon appears must be superluminal.
In quantum mechanics, Bohr's semi-classical model, Heisenberg's matrix mechanics, and Schödinger's wave function are all able to support the assumption of energy levels of atoms and coincide with the spectra of atoms. It is the operating mode of most light sources, including lasers. This shows that the body of their theories is all correct. If they are merged into one theory describing the structure image, it must have the characteristics of all three at the same time. Bohr's ∨ Heisenberg's ∨ Schödinger's, will form the final atomic theory*.
The jump of an electron in an atom, whether absorbed or radiated, is in the form of a single photon, and taking the smallest energy unit. For the same energy difference ΔE, jumping chooses a single photon over multiple photons with lower frequency ν, suggesting that a single photon structure has a more reasonable match between atomic orbital structures**.
ΔE=hν ......(1)
ΔE=Em-En ......(2)
It is clear that without information about Em, En at the same time, generating a definite jump frequency ν is impossible. "Rutherford pointed out that Rutherford pointed out that if, as Bohr did, one postulates that the frequency of light ν, which an electron emits in a transition, depends on the difference between the initial energy level and the final energy level, it appears as if the electron must "know" the frequency of light ν. level and the final energy level, it appears as if the electron must "know" to what final energy level it is heading in order to emit light with the right frequency."[1].
Bohr's postulate of Eq. (1)(2) energy level difference is valid [2]. But it does not hold as axiomatic postulate. This is not just because all possible reasons have not been ruled out. For example, one of the most important reasons is that the relationship between the "wave structure" of the electron and the electromagnetic field has not been determined†. Only if this direct relationship is established can the transition process between them be described. It is also required that the wave function and the electromagnetic field are not independent things, and it is required that the wave function is a continuous field distribution, not a probability distribution [5]. More importantly, Eqs. (1)(2) do not fulfill the axiomatic condition of being axiomatic postulate, which is not capable of ignoring the null information‡.
Doing it as a comparison of questions is the same as when we ask how the photon controls its speed [3] and where the photon should reach next. They are both photon behaviors that must rest on a common ground.
Considering the electron transition as a source of light, it is equally consistent with the principle of Special Relativity, and the photons radiated must be at the speed of light c and independent of the speed of the electrons††. However, if the light-emitting process is not continuous, the phenomenon of superluminal speed occurs.
We decompose the light-emitting process into two stages. The first stage, from "nothing" to "something", is the transition stage; the second stage, from something to propagation, is the normal state. According to classical physics, if the light emission is instantaneous, i.e., it does not occupy time and space. Then we can infer that the photon from nothing to something is not a continuous process, but an infinite process, and the speed at which the photon is produced is infinity. We cannot believe that the speed of propagation of light is finite and the speed at which light is produced is infinite. There is no way to bridge from the infinite to the finite, and we believe that this also violates the principle of the constancy of the speed of light.
There is no other choice for the way to solve this problem. The first is to recognize that all light emitting is a transitional "process" that occupies the same time and space, and that this transitional process must also be at the speed of light, regardless of the speed of the source of light (and we consider all forms of light emitting to be sources of light). This is guaranteed by and only by the theory of relativity. SR will match the spacetime measure to the speed of light at any light source speed. Secondly, photons cannot occur in a probabilistic manner, since probability implies independence from spacetime and remains an infinity problem. Third, photons cannot be treated as point particles in this scenario. That is, the photon must be spatially scaled, otherwise the transition process cannot be established. Fourth, in order to establish a continuous process of light emission, the "source" of photons, whether it is an accelerated electron, or the "wave function" of the electron jump, or the positive and negative electron annihilation, are required to be able to, with the help of space and time, continuous transition to photons. This will force us to think about what the wave function is.
Thinking carefully about this question, maybe we can get a sense of the nature of everything, of the extensive and indispensable role of time and space.
Our questions are:
1) Regardless of the solution belonging to which theory, where did the electron get the information about the jump target? Does this mean that the wave function of the electron should span all "orbitals" of the atom at the same time.
2) If the jump is a non-time-consuming process, should it be considered a superluminal phenomenon¶ [4]?
3) If the jump is a non-time consuming process, does it conflict with the Uncertainty Principle [5]?
4) What relationship should the wave function have to the photon to ensure that it produces the right photon?
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Notes:
* Even the theory of the atomic nucleus. After all, when the nucleus is considered as a "black box", it presents only electromagnetic and gravitational fields.
* * It also limits the possibility that the photon is a mixed-wavelength structure. "Bohr noticed that a wave packet of limited extension in space and time can only be built up by the superposition of a number of elementary waves with a large range of wave numbers and frequencies [2].
† For example, there is a direct relationship between the "electron cloud" expressed by the wave function of the hydrogen steady state, and the radiating photons. With this direct relationship, it is possible to determine the frequency information between the transition energy levels.
‡ If a theory considers information as the most fundamental constituent, then it has to be able to answer the questions involved here.
†† Why and how to achieve independence from the speed of light cannot be divorced from SR by its very nature, but additional definitions are needed. See separate topic.
¶ These questions would relate to the questions posed in [3][4][5].
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References:
[1] Faye, J. (2019). "Copenhagen Interpretation of Quantum Mechanics." The Stanford Encyclopedia of Philosophy from <https://plato.stanford.edu/archives/win2019/entries/qm-copenhagen/>.
[2] Bohr, N., H. A. Kramers and J. C. Slater (1924). "LXXVI. The quantum theory of radiation." The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 47(281): 785-802. This was an important paper known as "BSK"; the principle of conservation of energy-momentum was abandoned, and only conservation of energy-momentum in the statistical sense was recognized.
[3] “How does light know its speed?”;
[4] “Should all light-emitting processes be described by the same equations?”;
[5] “Does Born's statistical interpretation of the wave function conflict with ‘the Uncertainty Principle’?” https://www.researchgate.net/post/NO13_Does_Borns_statistical_interpretation_of_the_wave_function_conflict_with_the_Uncertainty_Principle;
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Dear Jixin Chen ,
I can't really go against your recent answer.
'We are discussing here how to get high-quality simulated data which is a problem this thread raises.' - If you know what you're looking for, where to find it, how-in what form you can get it, you can easily buy good food, then you can easily achieve a high-quality simulated data. That's why it's important to have a more natural concept that is as simple as possible... Then comes the testing... detection of errors (trying to see what caused the error, solution, and new test... and so on... In the meantime, if possible, the best possible theory must be formulated... If the theory is right, the world opens up showing the secrets of nature...
I know that science is not poetry: but knowing is like creating a poem, only then will it succeed if it is intertwined, through you with your environment.
Regards,
Laszlo
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When we measure the photoluminescence (PL) emission of some nanoparticles we find sometimes emission bands at energy higher than the optical bandgap. It is normal to observe photoluminescence at energies below the material bandgap as a result to the presence of localized defect states. However PL at energies higher than the optical bandgap it look strange!
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What is the size of your nanoparticles? Might it be that they are already small enough to exhibit quantum size effects (due to wave function confinement)?
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..
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Murtadha Shukur,
Many thanks.
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Hello research community,
I got CFD simulation results of an internal combustion engine regarding emission in kg unit. For example: 14.5 gram of CO per cycle.
I need to convert this number to g/kW-hr to compare it with standards.
Anyone has any ideas?
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The first question I have: When you say 'cycle' are you talking about one engine cycle, say power stroke to power stroke (assuming a piston engine) or some kind of drive or operational cycle where say the vehicle is driven over a 5 mile course? The approach is the same but you have to start by figuring out how much energy (power * time) was produced in your cycle.
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In dumping operation of hot wet materials, for example, there is emission of particulate matter together with water vapor, which difficult the measurement of opacity. Is there any way to solve this problem, or other techniques to quantify the PM?
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Utilizar muestreadores de Partículas Suspendidas totales en el Aire, puede resultar muy apropiado.
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How does stokes shift of nitrogen-doped carbon quantum dots (blue emission) increases with quantum yield?
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It may be due to more energy transfer from the E.S to the G.S.
In case of N-CDs, E.S electrons recombine radiatively, because only few E.S electrons release heat and they interact with atmosphere and lose energy. So, the stoke shift is larger in NCDs.
Many studies demonstrated this shift in emission.
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I am a master's student of environmental science and trying to calculate the GHG emissions from electricity generation industries using the tier 1 method of IPCC guideline and LEAP model. When I searched for some examples through websites and also some papers, I did not find them. So, I am confused about the calculation part, especially for IPCC. Please guide me or give me any suggestions on where I can get the references for that calculation.
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Thank you for Win Pa Pa Htun message and congratulations on completing the calculation part of your thesis! It sounds like you've put in a lot of effort, and I'm glad to hear that you have performed sensitivity and uncertainty analyses to ensure the robustness of your results.
I would be more than happy to help you with reviewing the calculation part of your thesis and confirm the accuracy of the default data and formulae used in your calculations. Please feel free to send me the attached file for my review.
You can send the document to my email address: hebohao0813@gmail.com. Once I receive it, I'll make sure to thoroughly review the content and get back to you with any feedback or suggestions as soon as possible.
If you have any specific areas you'd like me to focus on during the review, please let me know, and I'll be sure to give them special attention.
Once again, congratulations on reaching this milestone in your thesis, and I'm looking forward to assisting you further. Feel free to reach out if you have any other questions or concerns.
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I have difficulty when elaborating the positive impact/avoided emission from eliminating plastic/polybag use for tree planting activity. Is there any direct value/rule of thumb reference when eliminating XX kg of plastic?
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Raul Villarroel this is super helpful, thank you kindly!
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OPF, Emission
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The emission objective in the OPF problem is to minimize the total emissions of pollutants from a power system. This is done by adding an emission penalty term to the objective function of the OPF problem. The emission penalty term is a function of the emissions of each pollutant, and it is typically set to a high value so that the optimizer will try to minimize emissions as much as possible.
The emission penalty term can be expressed as follows:
EmissionPenalty = f(NO2, CO2, ...)
where f is a function that maps the emissions of each pollutant to a single penalty value. The specific form of the function f will vary depending on the pollutants being considered and the desired level of emissions reduction.
The emission objective can be incorporated into the OPF problem as follows:
min f(NO2, CO2, ...) + Pg
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How to improve the efficiency of the above title!
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The study aims to enhance the efficiency of a light-duty diesel engine using higher alcohol-biodiesel-diesel blends. Several strategies are proposed for optimization, including carefully selecting the blend composition through laboratory tests and simulations. Engine calibration and tuning, as well as the implementation of advanced combustion techniques like HCCI or LTC, are suggested to improve combustion and thermal efficiency while reducing emissions. Engine design modifications for better fuel-air mixing, EGR implementation to curb NOx emissions, and forced induction technologies for increased power output and fuel efficiency are recommended.
Waste heat recovery, combustion-enhancing additives, engine downsizing with lightweight materials, and heat management improvements are also considered to achieve better overall performance. Real-time engine control and monitoring systems are proposed for dynamic optimization based on varying operating conditions and fuel properties. All modifications should undergo comprehensive testing and validation to ensure compliance with emission regulations and maintain engine reliability and durability.
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