Science topic
Shadowing (Histology) - Science topic
The technique of spraying a tissue specimen with a thin coat of a heavy metal such as platinum. The specimen is sprayed from an oblique angle, which results in the uneven deposition of the coating. The varying thicknesses create a shadow effect and give a three-dimensional appearance to the specimen.
Questions related to Shadowing (Histology)
Hi everyone,
Since I'm new in cell culture I have noticed in my Caco2 cell culture these black fibers. I wonder if these are fungal contamination or some protein fibers of serum. Also, in some areas I can see some shadows when i see the cells and when I change the focus they seem really round black dots.
Thank you in advance!!!
توضيح المشكلات النفسية في ظل الحروب والكوارث
Sometimes I see the shadow like bands and its not true band. I want to know that what's the reason for it. I am using 2% gel for running genotyping samples
I have uploaded the gel picture in both background i.e black and white
In my paper, " ," I propose a novel interpretation of quantum mechanics that addresses the process of entanglement without relying on retro causality or the concept of infinite branching universes, as seen in many-world interpretations.
The key points of my interpretation are:
- Dedicated Address in the Event Horizon: Every particle has a unique address in the event horizon, which has its own dedicated spacetime fabric.
- Entanglement: Entangled particles share the same address (next to each other) in the event horizon. When a measurement is made, the interaction assigns new addresses to the particles, effectively breaking the entanglement. This mechanism explains how entangled particles influence each other instantaneously, even when separated by large distances.
- Shadow Particles: Particles have shadows (replicas) on other spacetime fabrics corresponding to different addresses.
- Interaction and Address Reassignment: When a true particle interacts with a shadow particle, they are destroyed and create new particles with new addresses. This process explains the collapse of the wave function and the breaking of entanglement.
- Wave Function Collapse: The assignment of new addresses during particle interactions provides a mechanism for wave function collapse, giving the illusion of a single reality while multiple underlying realities influence the outcome.
This interpretation provides a clear mechanism for understanding entanglement and wave function collapse, explaining phenomena such as particles being in multiple locations simultaneously and Wheeler's delayed choice experiment, all without invoking retro causality or the need for infinite branching universes.
I would appreciate feedback and discussion on whether this approach effectively resolves the entanglement process in quantum mechanics.
Archetypes, Shadow Archetypes, and Stereotypes Related to the Beginning of the Journey:
Northrup Frye says that the Romance presents an idealized world, the black-and-white world of our desires, where good things are really good, and bad things are really bad. The Romance involves the Journey, and the Journey involves the Hero, the Villain, the Quest, the Sage, the Prohibition, the Sacrifice, the Dragon, the Treasure, and sometimes the rescue of the Maiden.
The epiphany (mountain top, tower, island, lighthouse, ladder, staircase, Jack’s beanstalk, Rapunzel’s hair, Indian rope trick etc.) connects Heaven and Earth. Carl Jung said that there are archetypes and shadow archetypes related to the preparation for the journey (the innocent, the orphan, the warrior, and the caregiver).
The Innocent moves from an unquestioning acceptance of the environment through experiencing disillusionment (fall) to a return to Paradise as a wise innocent. Examples include the Brady Bunch, Forrest Gump, Bambi, Gomez Adams, Leo the Late Bloomer, The Little Mermaid, and Pinocchio.
The Orphan moves from accepting pain and loss through accepting the need for help to becoming independent and working with others. Examples include Charlie Brown, Cinderella, Dorothy in The Wizard of Oz, Huckleberry Finn, Frankenstein’s Monster, Maniac McGee, Oedipus, Harry Potter, Peter Rabbit, and Dorothy from The Wizard of Oz.
The Warrior moves from fighting and cheating simply for the sake of fighting to fighting within the rules for others and for what really matters on an unselfish level. Examples include Batman, Lancelot, Ulysses, Joan of Arc, Jo in Little Women, Robin Hood, 3 Musketeers, Superman, and Darth Vader.
The Caregiver moves from overcoming a conflict between one’s own needs and those of others through empowering others (tough love), to a willingness to help beyond immediate family (a global level). Examples include Gepetto in Pinnocchio, Holden Caulfield, The Giving Tree, Horton, “The Jewish Mother,” Mary Poppins, Pygmalion, Anne Sullivan, Mother Theresa, and The Velveteen Rabbit.
Can you think of other archetypes or shadow archetypes (ala Northrup Frye and Carl Jung) relating to the beginning of the journey?
Don and Alleen Nilsen “Humor Across the Academic Disciplines” PowerPoints:
I need some mask for UV photolithography. Can you suggest any software to draw those patterns with proper file format so that directly the file can be inserted and required pattern can be obtained. Note I don't need PowerPoint files though we can design the mask.
The primary challenge in analyzing the shadow blister arises when the transverse distance between the two edges along the X-axis is either large or when the slit width reaches zero and the secondary barrier overlaps the primary barrier, rendering the "Fresnel Integral" valid. In such scenarios, this phenomenon can also be interpreted using traditional ray theory.
As the transverse distance decreases to approximately a millimeter, the validity of the "Fresnel Integral" diminishes. Regrettably, this narrow transverse distance has often been overlooked.
This article explores various scenarios where the transverse distance is either large or less than a millimeter, and where the secondary barrier overlaps the primary barrier.
Notably, complexity arises when the transverse distance is very small. In such conditions, the Fourier transform is valid only if we consider a complex refractive index, indicating an inhomogeneous fractal space with a variable refractive index near the surface of the obstacles. This variable refractive index introduces a time delay in the temporal domain, resulting in a specific dispersion region underlying the diffraction phenomenon.
Refer to:
http://www.ej-physics.org/index.php/ejphysics/article/view/304
The shadows of two objects undergo peculiar deformation when they intersect, regardless of the distance between the objects along the optical axis:
Hi, all
I am doing the liposome flotation assay. In the end, I precipitated the protein and then ran the sds-page. But every time I could not see my protein in the gel, it was almost gone, maybe just like a shadow. I asked my colleagues, and they said something wrong happened during my precipitation. I want to find the reasons. Please provide some suggestions for me.
Here is my TCA precipitation protocol:
1. add 1 volume TCA to 10 volumes of my sample, and incubate 30min at 4C
2. centrifugate at 15000rpm, 20min, 4C
3. discard supernatant, and wash with acetone two times (then centrifugate at 15k, 5min, 4C)
4. remove acetone carefully; avoid touching the white precipitation
5. air dry overnight
6. dissolve in 2X loading buffer for SDS-page on the second day
Thank you!
April
I want to design electrode shadow masks for photodetectors .The shadow mask can be made from uncontaminated materials.
We do not have lithography fabrication at my university, so i want to design a shadow mask as a template to fabricate an electrode for a photodetector.
The design is shown in the picture below .
Ain't no doubt that the Western style theatre is not the sole theatre form in the world. Many performances that was in vogue in ancient Egypt or Mesopotamia may be upheld as where the genesis of theatre spawned. The passion play and the shadow play are also but worthy of mentioning two examples of drama that was performed during the golden days of Islam!
Some good insights into #ArtificialIntelligence, #ChatGPT, #teaching, #technology in #writing ! Academic writing and ChatGPT: Students transitioning into college in the shadow of the COVID-19 pandemic.
Introduction:
Quantum physics is a branch of physics that studies the behavior of matter and energy at very small scales, on the order of atomic distances. The quantum world is governed by laws that are very different from those of the macroscopic world, and its properties are often counterintuitive.
One of the most surprising features of the quantum world is superposition. A quantum particle can be in two or more states at once, meaning that it can be in two different places at the same time, or have two different speeds.
Question:
Is it possible that the fourth dimension is the key to understanding the quantum world?
Arguments in favor:
- Shadow analogy: A three-dimensional object can be projected into two dimensions by its shadow. This suggests that our three-dimensional reality could be the projection of a four-dimensional object.
- Perception of four-dimensional beings: In a fourth dimension, a four-dimensional being could be able to see a moment in multiple states. This would explain quantum superposition, as a four-dimensional being could see a quantum particle in all its possible states at the same time.
- Inconsistencies with the macroscopic world: The properties of the quantum world are often inconsistent with those of the macroscopic world. This suggests that the quantum world is subject to different laws, which could be explained by the existence of a fourth dimension.
Arguments against:
- Lack of experimental evidence: There is no direct experimental evidence for the existence of a fourth dimension.
- Speculation: The idea that the fourth dimension is the key to understanding the quantum world is a speculation.
Keywords:
- Fourth dimension
- Quantum world
- Superposition
- Shadow
- Beings of four dimensions
- Experiments
- Quantum laws
- Controversy
I do not like how my Keyence BZ-X710 images have been coming out lately. I’ve been noticing grid-like shadows on the images after stitching them, but not while looking at the live images. The Keyence halide bulb was the original culprit, but the problem is still apparent despite it being replaced. I care about this because I’m looking to quantify protein expression, which feels pointless if the image brightness and contrast looks messed up. Slices are 40 microns and are stained for IBA1, GLT1, and DAPI. They’ve only been imaged 1-2 times.
What do people think could be causing this? How do you recommend I go about fixing this?
Anything help. Thanks in advance!
How to fabricate complex heterostructure-based devices using shadow mask method?
When I draw parts on solidwork and extrude it then the part is not visible, only shadow view is there. How to fix this issue?
How to filter input signal through lognormal shadowing model or kappa mu shadowing model by using a code which generates PDF in Matlab?
If we cannot see the edge of Universe or cannot measure its size, it does not mean it is infinite.
Article is attached which states that Universe on larger scale as well as on a smaller scale of subatomic scale is driven by an external force.
Using this Hypothesis I have arrived at new equation for Gravitational force.
When two bodies come closer they cast shadow of the external force and generate energy vacuum in the mass of each object. This vacuum is responsible for gravitational attraction. Energy vacuum is computed by multiplying mass of the object in shadow area by square of the velocity of light (C^2)
Gravitational attraction between Sun and all the planets of solar system and also Earth and its moon is computed using proposed equation. These values are close to the values computed by Newton's law. Thus it supports the proposed theory.
As a comment of my paper, a referee asked me to address endogeneity issue of shadow economy in the assessment of the shadow economy effect on industrial productivity using 2sls. I'm finding an exogenous instrument that could be relevant. I don't know if there is any paper that has addressed this issue.
Thanks
a. Considering shadowing
b. PVsyst answer is 425000-panel (without considering shadowing)
c. coordinate system : X=53.2054 Y=30.6173
I'm looking for a practical solution that has been applied on a real scale.
I am doing my Ph.D. research on Agrivoltaic system in Odisha, India. Experimental work has been completed with good performance indicators values but now needs simulation results of Turmeric plant growth w.r.t. solar light/radiation and Solar panel output w.r.t. solar light/radiation.
Official email: nimay.giri@cutm.ac.in
WhatsApp: +916371211594
Carl Jung said that there are archetypes and shadow archetypes related the end of the journey (the ruler, the magician, the sage, and the wise fool). The Ruler moves from taking responsibility for oneself through working with one’s own group or community to concern for society or the planet. Examples include Aslan, King Arthur, Max in Where the Wild Things Are, Jupiter, Obi Wan Kenobee, The Lion King, Woden, and Zeus. The Magician moves from healing and noticing extrasensory experiences through acting on visions to connecting everything with everything else establishing mental, emotional, and spiritual connections. Examples include Gandalf, Genie, Hermione, Merlin, Mary Poppins, Harry Potter, Samantha in Bewitched, The three Witches in Macbeth, and The Wizard of Oz. The Sage moves from searching for the truth through skepticism to an understanding of the complexity of truth. Examples include the professor in Gilligan’s Island, Jimminy Cricket, Dumbledore,The Fairy Godmother, Galdalf, Luke Skywalker, and Yoda. The Wise Fool or Trickster moves from treating life as a game through using cleverness to trick others, to living life one day at a time and enjoying each special moment. Examples include Anansi the Spider, The Cat in the Hat, Coyote, Ferdinand, Forest Gump, The Hare and the Tortoise, Huckleberry Finn, Raven, Tom Sawyer, Sawyer on Lost, Scheherazade, and The Wizard of Oz. Can you think of additional archetypes and shadow archetypes (ala Northrup Frye and Carl Jung) related to end of the journey?
Factors to note: roof position; shadow; arrangement of panels; number of panels.
The recent development of EHT images influenced us to study the shadow of a BH in more detail, as we can extract some information about the source. But I feel there is no strong evidence or support for determining the spin of the compact source.
Your comments are welcome.
I am looking for a cheap and simple sputter unit that can sputter metals like Au, Ni, Cr, Al onto a substrate through a shadow mask for pattering (20 mm x 15 mm mask area, 30 micron resolution, for film thickness in the order 100 nm). One target at a time is enough.
I am on a budget so I am looking for researchers with personal experience of a simple machine, not for marketing broadcasts from manufacturers.
Traditional bankings are under the surveillance of regulatory institutions, including Fed/Central banks. However, it "seems" shadow bankings are out of the radar of the regulatory institutions. I somehow understand the concern of these regulatory institutions in the financial markets.
My questions are how the regulatory institutions, particularly monetary policy authorities, alter the shadow banking activities? Are the shadow bankings and traditional bankings complementary or substitutes? I would also love your comment on how these shadow bankings can create uncertainties and/or risk in financial markets.
How to understand these results? The authors describe the +ve coefficient (26.56) as a “decrease.”
(Screenshot is attached)
Reference paper
Chen, Kaiji, Jue Ren, and Tao Zha. 2018. "The Nexus of Monetary Policy and Shadow Banking in China." American Economic Review, 108 (12): 3891-3936.
Dear scholars, can anyone help with the link to download data on shadow economy as well as capital flight.
I need to do simulation and analyses using one or two of the various types of software commonly used, but the problem is that I can't feel sure about advantages and disadvantages of any. Considering types of the analyses I need ( CFD and shadow behaviour) and type of the place (an urban space among various buildings (nearly a neighbourhood in size)), I'd be grateful if you share your knowledge in this field.
Hello everyone,
I am calculating the potentials of an agrivoltaics system. I thought of an approach, which I'm not sure will work. I'd be grateful for some feedback.
I know the light saturation point (LSP) of my crops, which is around 800 µmol *m-^2 *s^-1. Additionally, I have the data for photosynthetically active radiation (PAR) in average hourly values throughout the year.
I want to minimize crop losses underneath the system. Therefore, for the PV plant, I'd try to only use the insolation which exceeds the saturation point. If, in theory, there was a tracking system and an axis for the PV system, we could move the panels out of the way of direct radiation, so that the plants get most of it. If the saturation point is not reached, the panels could be moved towards a 0° angle at the sun, minimizing shadowing.
Assuming this would work, can I calculate the yield of the APV system with capturing the "additional" sunlight, once the LSP is exceeded? Or is this whole scenario highly unrealistic?
Thank you for your input.
Hey,
We are developing a general transmission microscopy system under 405 nm illumination. A high NA objective with 150 X magnification is used. From the image we can see there are several halo artifacts around, which are very much like repeating artifacts of the sample itself as attached. Or they are sort of like shadows of the samples. Can you leave some ideas if you have please?
Looking forward to your discussions and thanks in advance.
Best regards.
We are trying to formulate Albendazole suspension (for animals) using different suspending agent, the formula also contain wetting agents (propylene glycol + polysorbate 80), buffering agent, preservative and simethicone. Our issue is that always the appearance of the suspension look non-homogenize, when you steer manually you can see something like shadows in the surface. We do homogenization for enough time but still these shadows persist. We are suspecting on the suspending agent, we tried different ones, xanthan, povidone k90, HPC, HPMC, Veegum. In all formulas shadows appear with different intensity. comparing to reference product from Germany which shows NO shadows at all.
Please suggest any technique or material to be used!!
in the bid to capture multispectral images using UAVs, there appear to be shadow effect which affect most of the indices that is generated from the images. asides timing of image capture, are there other ways to minimize or filter shadows?
Hello,
I search for a library or a method to determine the sun shadow or rays on a part or side of buildings . The building's position can be get throug geo database or geo location. Which algorithms and language should be efficient. Is there any special 3D library to manipulate such data?
I thank you forward for your help or suggestions.
H.Ouda
I need the data to perform OLS where the dependent variable will be the shadow economy in Greece and the independent the corruption in Greece and the amount of e-transactions per person in the country, but I can't find the data, can someone help me please?
I'd like to discuss the question of the Role of Digital Shadows and Digital Triggers in the Digital Twin Concept. I think both terms play an important rule but they are not exactly defined til now.
You can see my point of view about in an attached poster for an order-oriented Digital Control Twin.
The Digital Shadow (DS) is only a Snapshot of a real object at a certain time, a certain location and for a certain 'cutout' that represents the actual state but not the entire object itself. To interpretate the DS it is very important therefor to define the exact time, location and cutout of the DS. and to store this data.
The Digital Trigger (DT) is only an impuls of the virtual twin at a certain time, location etc., to 'influence' the real twin but it is not the entire virtual twin itself.
The virtual and real twin are connected by a certain kind of regulator to detect and evaluate deviations of DS and DT and to harmonize them. The kind of regulation can be very different and depends on the object itself, the environment and the purpose.
Hi everyone,
I am trying to amplify the ITS 1 and 4 regions of Aspergillus flavus. My first three lanes, starting from the left, are A. flavus, I then have 2 lanes of C. albicans as a positive control, and then 2 no-template controls for my reaction. You can see my positive control works fine, but for my A. flavus and NTC I have these faint bands below 100bp. Are those just shadows from the loading dye? Or are they product? For reference I am using a 1% agarose gel, 0.5X TBE, and purple loading dye 6X from NEB. I load 2uL of dye and 8uL of PCR product for a total of 10uL per lane.
I don’t see this shadow with my positive control. I know this reaction works because I have run all my yeast isolates with it. I have tried varying annealing temperatures for my molds and they still won’t amplify. They have A260/280 of 1.9 and concentrations of 10ng, which should show up fine on a gel.
Thank you!
Hi. I am exploring a user friendly interface for inserting behaviors in connection to spacial attribute during real time observation. has anyone used or modified the ArcGIS collector? I appreciate your feedback!
I have a machine that includes a workpiece which can be considered as 1200 degree Celcius and it is rotating around its center. I have around 2.5 million mesh and the minimum orthogonal quality is 0.152. Can anyone help me? The continuity residual diverges after 2000 iterations. The machine is made up of steel my enclosure is air. I have used discrete ordinates for radiation and moving wall boundary condition for the workpiece and the angular speed is 1000 rpm. I assign 1200 degree Celcius for boundary and heat flux BC is automatically selected for its shadow. I always get the message that the turbulent viscosity ratio is limited by 1e+05 for xxx number of cells. The number fluctuates throughout the iterations. I am using the k-epsilon model for turbulence. All cell zones are selected as participants in radiation. Since radiation is activated, I am using PRESTO! for the pressure solution method. The others are set as default.
Thank you in advance
In this problem, I studied the effect of shadow on the electric current produced by solar cells
I'm excited to announce the early release of Part V from my limited audio series on whistleblowers. I want to thank both Lance Williams and the World Anti-Doping Agency / Gunter Younger for making this story possible.
Link to story on the PRX Exchange: https://exchange.prx.org/pieces/361345-part-v-who-is-to-blame
I interview investigative journalist, Lance Williams who broke the story on the use of steroids in professional sports. He also co-wrote the book "Game Of Shadows" (2006) with his former colleague Mark Fainaru-Wada. In addition, I talk with Director of Intelligence and Investigations for the World Anti-Doping Agency (WADA), Gunter Younger.
Link to Lance's current work: https://revealnews.org/?s=Lance+Williams
Link to more information on WADA's whistleblower landing page:
I had these fibroblast cells in culture for one day. There is 3x Pen/Strep, Fungin and Primocin in the media. While focusing on the viewing plane above the cells I noticed a shadow that moved almost like a sheet when rocking the culture vessel. I removed the media and took the attached picture. Is this some type of yeast or fungal contaminant? I had to rinse the cells with PBS to get rid of it. Media was fresh and sterile filtered.
I need to understand if there is a posibility that the envisaged transition to a low carbon or net-zero carbon economy, can result in or insight shodow economy tendencies. If so at what stage of the transition process and how to mitigate?
I used Unet model to segment a car from the background Now I want to add artificial shadows to the car. Something like shown in the image (These results are from remove.bg) So far I tried traditional methods but they produced very poor results. I guessing Deep learning methods can help here. I think CycleGAN might work great. Can anyone point me to a pretrained model for shadow generation or a dataset that has such images?
It is just something like reimagining of one’s childhood and personhood, like a re-engagement with the ‘shadow child’ within, in the face of the disturbing ephemerality of self alongside the destabilising onset of modernity. What is your opinion?
Edit:
Video for reference.
The goal is to detect if the any side of the face is less illuminated than the other.
For example if there's an image of a face, I would like to detect if a portion of the face is covered by shadow. Relevant example of this are selfie images, when people take selfies sometimes the shadow of the mobile falls on the face, covering a part of it, are there any methods to detect condition like this ?
Topographic effect, data scarcity and complex atmospheric system makes the precipitation of Himalaya mountains very dynamic. Down scaling of precipitation in such area without considering orographic, laps rate, rain shadow, snow, seasonal and annual shift of precipitation phenomena is not much promising.
So, what are best possible ways to down scale the remotely sensed, reanalysis and model output precipitation product over Himalaya mountains by considering the above factors?
Thank you in advance
I have used FLASSH atmospheric correction using ENVI but the last result brings to me with a shadow which is not removed. Therefore, this shadow is giving me difficulty in separating with water body while I am making image classification. So, could you please help me as how to solve it the situation.
I'm modelling an oprimimzation program for maximizing tilt and azimuth angle with the help of PV_LIB modelling tool. I'd like to include shadow analysis in the program. Three types of shadow analysis has been mentioned [1]
a. Shadow of surround objects
b. self-shading by PV panels
c. Overhangs
Is there any good paper that explains how to include 1st shadow analysis, though the methods explained in [1] and [2] are quite difficult if the geometry is complex.
If any doubts please let me know.
Thanks.
While improving the American production capacity of rock oil, as companies active in this area a kind of steadfastness in the face of low oil prices, as this led to the improvement of US oil production, which means the decline in dependence on imported oil, especially from the Middle East, In parallel with all this, tensions between the West, represented in the United States and Iran, are escalating through a new stage of conflict characterized by threats and military escalation, which casts a shadow on the stability of the oil supplies, especially those that pass through the Strait of Hormuz, and raises the question of who is the beneficiary of all this Oil is a strategic commodity for both producing and consuming countries and there are no alternatives available to compensate in the near term.
channel response to user k and has the distribution:
gk ∼ CN(0, βk I), k = 1, 2, . . .,K,
n ∼ CN(0, I) is a noise
{which is a circularly symmetric complex Gaussian random vector.
The variance βk > 0 represents the large-scale fading including path loss and shadowing, and is normalized by the noise variance at the BS to simplify the notation.
The users are assumed to be uniformly and randomly distributed in a cell with radius R = 1000 m and not user closer than 100 m to the BS. The path-loss model is chosen as βk = zk /r3.76 k where
rk is the distance of user k from the BS where zk represents
the independent shadowing effect. Shadowing is chosen to be
log-normal distributed with a standard deviation of 8 dB.}
i cant understanding that term (and is normalized by the noise variance at the BS to simplify the notation)
my matlab code for generate βk:
for kk=1:K
sigma_shd=8; %in dB
L=0;
z(kk) = sigma_shd*randn(1,1);
%r(kk) is a distance between user kk and BS 100m<r(kk)<1000m
betadB(kk) = -L - 37.6*log10(r(kk)) + z(kk); %large-scale in dB
BETAA(kk) =10^(betadB(kk)/10);
B(kk)=BETAA(kk);
end
i'm not included noise variance in B_k
how can i do this?
Thanks
On carrying out an unsupervised classification, the reflectance of hill shadow and water is same and thus they are falling under one class, is there any way I can solve it?
A plant material which its leaf is used in local remedies by adding in a boiled water and inhalation was considered. The leaf have been collected and dried in shadow at room temperature. The dried leaf was then milled using analytical miller. When the sample was in the hydro-distillation process my research colleague and me were getting headache. This situation was happened 2times in different days.
In which case does one use each of these techniques specifically for?
The function assumes a direct and reverse law. What do we know about the inverse function? Never mind. This is just the shadow of the direct function. Why don't we use the inverse function, as well as direct? ------------- I propose the concept of an unrelated function as extended concept of reverse function. ------------ There is a sum of intervals, on each of which the function is reversible (strictly monotonic) -nondegenerate function. ---------- For any sum of intervals, there is an interval where the function is an irreversible-degenerate function.
Hi everybody,
I would like to plot the CDF of the channel hardening in figure 6 at the kth user in cell-free massive MIMO Which is described in equation 11 in [1].
To plot it I followed these steps :
1- To deploy the access points within a square(L=1000m) and I fixed a guard distance d_guard=9m
2- To develop beta(eq3) using three-slope path-loss described in eq 2+shadowing
3- To develop the correlation matrix via equation 7.33 [2]
4- To develop the channel vector gmk where h ~ CN(0,1)
h=(1/sqrt(2))*(randn(M,numberOfRealizations)+1i*randn(M,numberOfRealizations));
5-the channel gain between access point m and kth user g_mk=sqrt(R)*h
6-Inspired from equation (2.17) from [2] : I developed the channel hardening using 2 alternatives :
-1alternative :
var(sum(abs(g).^2,1)/trace(R),0,2)where var is the matlab function
to calculate the variance
I got positive and negative values of channel hardening coefs
-2nd alternative :
variance(s,it1)= real(trace(R*R))/(trace(R)).^2;
I got only positive values of channel hardening coefs
You can find the plots in the attached file.
Could you please help me to deal with these details :
1/Shall we omit the shadowing when dmk<d1 ?
2/Concerning the first alternative according to you, the channel hardening coefs can be negative or not?
3/How you can interpret that knowing that alternative 1is equivalent to alternative 2 according to (2.17) from [2] that we get negative values in alternative 1 and we get only postive values of channel hardening coefs ?
Thanks for help.
Best regards
References
[1] Giovanni, I., Frenger, P., & Larsson, E. G. (2018). Utility-based Downlink Pilot Assignment in Cell-Free Massive MIMO. In The 22nd International ITG Workshop on Smart Antennas (WSA 2018). https://arxiv.org/pdf/1803.08828.pdf
[2] Björnson, E., Hoydis, J., & Sanguinetti, L. (2017). Massive MIMO networks: Spectral, energy, and hardware efficiency. Foundations and Trends® in Signal Processing, 11(3-4), 154-655. https://massivemimobook.com/wp/free-pdf/
Hoping somebody could help me.
I am looking for a method to colour domains created in COMSOL? For instance, a Si/Ti/SU-8/Au stack, with each layer coloured differently?
Exporting as a picture then attempting to add colour in MS Paint proves problematic due to shadowing in the 3D model.
Is there any simple software to use where I can export the COMSOL geometry (say as .dxf) and then import to said software to add colour?
Kind regards,
Marie
I am currently working on a project about shadow economy. I need to complete my panel data for electricity consumption 2015-2018.
Any help? on how/where to get this data?
Many thanks in advance
Suzanna
We are working on reflection-in-action. More precisely, how junior doctors engage in reflection during the action and we are using shadowing as a data collection method. Of course, this is different from reflection-on-action (Schon), in which practitioners reflect after they have taken decision and actions. There is much more evidence on reflection-on-action.