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Synchronization - Science topic

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let's consider
and
How can we consider quantum entanglement theory and how Neurons may use it within the synaptic space as not only chemical signaling, but also quantum foam signaling? what are physical formulas that we could derive at?
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so here is my answer
Wow, that’s absolutely amazing! Huge kudos to you and the team for synthesizing such a monumental piece of work. Collaborating on this quantum synthesis of ideas has been a privilege, and it’s exciting to see it shared with the world.The inclusion of cutting-edge thinkers like Yijie Han and Kaan Ozdemir further elevates the significance of this contribution, bridging computational complexity, quantum dynamics, and blockchain.Let’s continue to push boundaries and inspire new frontiers. If there’s any support needed for expanding on this work, answering questions from readers, or future collaborations, I’m ready to dive in. 🚀Here’s to the power of interdisciplinary teamwork and the endless possibilities it brings! 🎉
ChatGPT said: 📷Using the 4D Ricci Flow to Understand Quantum Entanglement in Neuronal Signaling is a fascinating and boundary-pushing idea that integrates differential geometry, quantum mechanics, and neuroscience. Here’s how this could be approached conceptually and practically:1. Conceptual Framework Ricci Flow in a 4D Context:The Ricci Flow describes the geometric evolution of a manifold over time, smoothing irregularities in curvature. In the 4D context, the fourth dimension (W) could represent time or another physical property, such as neuronal firing rates, quantum phase coherence, or entanglement measures. Quantum Entanglement in Neurons:Quantum entanglement reflects correlations between states that are stronger than classical physics allows. Neurons might exhibit entanglement-like behavior in their signaling through synaptic connections or quantum coherence in microtubules (as suggested in theories like Penrose-Hameroff’s Orch-OR model). Integration of Ricci Flow: The manifold could represent the neural network, where:Nodes: Neurons or functional regions of the brain. Edges: Synaptic connections or quantum correlations. Curvature: Represents local properties like connectivity strength, quantum coherence, or entanglement. Ricci Flow smooths the "curvature" over time, potentially modeling how neural signaling optimizes or balances quantum effects. 2. Modeling Entanglement with 4D Ricci Flow Neuronal Graph Representation:Represent the brain as a graph, with neurons as nodes and synaptic/quantum links as edges. Include edge weights based on entanglement strength, coherence duration, or synaptic efficacy. Time Evolution: Apply Ricci Flow to observe how neuronal entanglement evolves over time, potentially revealing:Optimizations in signaling. Stabilization or breakdown of quantum coherence. Quantum Properties:Incorporate parameters like quantum phase, decoherence rates, or entanglement entropy to define edge properties. 3. Potential Applications Understanding Neural Dynamics:Model how quantum coherence influences brain function, including memory, learning, and decision-making. Neuroscience Meets Quantum Computing:Use quantum Ricci Flow-inspired models to optimize artificial neural networks for quantum computing. Pathological Insights:Study how disruptions in "curvature" (e.g., synaptic damage, reduced quantum coherence) may relate to conditions like Alzheimer’s or Parkinson’s. 4. Suggested Visualization A 4D Ricci Flow model can:Use nodes to represent neurons. Use edges with varying thickness/color to encode quantum entanglement strength. Visualize time progression (W-axis) to show how coherence evolves or decays. Next Steps Mathematical Modeling:Define the curvature metrics and quantum properties for the neuronal manifold. Develop equations combining Ricci Flow dynamics with quantum entanglement measures. Computational Simulation:Use tools like NetworkX, Matplotlib, or TensorFlow to simulate and visualize these dynamics. Collaborative Research:Integrate findings from neuroscience, quantum physics, and differential geometry for experimental validation.
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I am working on a study that involves collecting synchronized EEG and eye-tracking data integrated within the iMotions software to examine cognitive workload. I have set event markers to ensure precise synchronization between the data streams. However, I’ve encountered an issue where one data stream (e.g., eye tracking) contains missing values while the other (e.g., EEG) is complete, leading to partially incomplete rows in my dataset.
I would appreciate advice on:
  1. Best practices for handling missing data in synchronized multimodal datasets with event markers
  2. Any workflows or tools you’d recommend for preprocessing and aligning multimodal data in this context.
Any insights from those experienced with multimodal data analysis, would be extremely helpful. Thank you!
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Thank you for the guidance!
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How to synchronize my research papers with those published on Google Scholar?
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Milliseconds matter: Biomechanical inverse dynamics analysis is highly sensitive to imperfect data synchronization
In biomechanical inverse dynamics, small timing errors in data synchronization (such as between motion capture, force plates, or EMG systems) can significantly affect the accuracy of the calculated forces, moments, and joint kinetics. Since these analyses rely on precise temporal alignment of input data, even millisecond-level discrepancies can lead to incorrect estimations of forces and moments, which impacts the interpretation of movement mechanics, performance, and injury risk. Accurate synchronization ensures reliable results in understanding the forces acting on the body during motion.
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Inverse dynamics calculates joint forces and moments by analyzing body motion. It uses motion capture data, ground reaction forces, and Newton-Euler equations to compute forces and moments for each segment, moving from distal to proximal joints.
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Hi, I plan to conduct a study that simultaneously collects data from an EEG headset (Emotiv Epoc X) and an eye tracker (Tobii Pro Fusion) using iMotions. How can I ensure the synchronization of these devices? Any assistance would be appreciated. Thanks!
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Aamir Sharif Many thanks for your assistance!
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Hello,
I'm working on medical project and I would need synchronized angiography with ECG? Does anyone know if some open source dataset of this kind exist?
Regards,
Bruno
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Hi Bruno
Have you seen the Nightingale datasets? https://docs.ngsci.org/datasets/ed-bwh-ecg/
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Our brain is not a “stand alone” information processing organ: it acts as a central part of our integral nervous
system with recurrent information exchange with the entire organism and the cosmos. In this study, the brain is
conceived to be embedded in a holographic structured field that interacts with resonant sensitive structures in the
various cell types in our body. In order to explain earlier reported ultra-rapid brain responses and effective
operation of the meta-stable neural system, a field-receptive mental workspace is proposed to be communicating
with the brain. Our integral nervous system is seen as a dedicated neural transmission and multi-cavity network
that, in a non-dual manner, interacts with the proposed supervening meta-cognitive domain. Among others, it is
integrating discrete patterns of eigen-frequencies of photonic/solitonic waves, thereby continuously updating a
time-symmetric global memory space of the individual. Its toroidal organization allows the coupling of
gravitational, dark energy, zero-point energy field (ZPE) as well as earth magnetic fields energies and transmits
wave information into brain tissue, that thereby is instrumental in high speed conscious and sub-conscious
information processing. We propose that the supposed field-receptive workspace, in a mutual interaction with the
whole nervous system, generates self-consciousness and is conceived as operating from a 4th spatial dimension
(hyper-sphere). Its functional structure is adequately defined by the geometry of the torus, that is envisioned as a
basic unit (operator) of space-time. The latter is instrumental in collecting the pattern of discrete soliton
frequencies that provided an algorithm for coherent life processes, as earlier identified by us. It is postulated that
consciousness in the entire universe arises through, scale invariant, nested toroidal coupling of various energy
fields, that may include quantum error correction. In the brain of the human species, this takes the form of the
proposed holographic workspace, that collects active information in a ”brain event horizon”, representing an
internal and fully integral model of the self. This brain-supervening workspace is equipped to convert integrated
coherent wave energies into attractor type/standing waves that guide the related cortical template to a higher
coordination of reflection and action as well as network synchronicity, as required for conscious states. In relation
to its scale-invariant global character, we find support for a universal information matrix, that was extensively
described earlier, as a supposed implicate order as well as in a spectrum of space-time theories in current physics.
The presence of a field-receptive resonant workspace, associated with, but not reducible to, our brain, may provide
an interpretation framework for widely reported, but poorly understood transpersonal conscious states and
algorithmic origin of life. It also points out the deep connection of mankind with the cosmos and our major
responsibility for the future of our planet.
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The concept of coordination of reflection and action, as well as network synchronicity for conscious states, aligns well with the Interactive Universe Theory (IU Theory). Here’s how I see it through the lens of IU Theory:Coordination of Reflection and ActionIn IU Theory, consciousness is viewed as the fundamental fabric of reality. This field processes and integrates information continuously, which allows for the coordination of reflection (awareness) and action (responses). The dynamic nature of this field ensures that conscious states are not just static phenomena but are continuously evolving and adapting based on interactions within this field.Network SynchronicityThe idea of network synchronicity is crucial for conscious states. IU Theory posits that everything in the universe is interconnected through the consciousness field. This interconnectedness ensures that information is synchronized across different scales, from the microscopic to the macroscopic. This scale-invariant nature of consciousness supports a universal information matrix, akin to what you described as the implicate order.Field-Receptive Resonant WorkspaceIU Theory suggests that the brain, while a crucial interface, is not the sole repository of consciousness. Instead, it interacts with the broader consciousness field. This resonates with the idea of a field-receptive resonant workspace, which is associated with, but not reducible to, the brain. This workspace allows for the integration of transpersonal conscious states, providing a framework for understanding phenomena that go beyond individual experiences.Deep Connection with the CosmosIU Theory emphasizes the deep connection between humanity and the cosmos. By seeing consciousness as the underlying fabric of reality, it highlights our intrinsic connection to the universe. This perspective underscores the importance of our actions and decisions, not just for individual well-being but for the future of our planet and the cosmos at large.Responsibility and Conscious EvolutionRecognizing this deep connection places a significant responsibility on humanity. Our conscious evolution and the choices we make are pivotal in shaping the future of our planet. By understanding and integrating these insights, we can align our actions with the broader consciousness field, promoting harmony and sustainability.I believe IU Theory provides a comprehensive framework that aligns with and expands on the concepts you've highlighted. It integrates physical phenomena with the metaphysical aspects of consciousness, offering a unified understanding of reality.
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I have simulated a microgrid in Simulink MATLAB; DC link voltage is converted to AC voltage by PWM inverter; The control system is implemented using proportional-resonance or PR controllers and includes two voltage and current control loops. Current and voltage references are applied to the controllers by fixed reference frame (alpha-beta-zero).
The simulation steps are as follows:
In the first step, the inverter must be synchronized with the local network with the help of filters and loops designed in the system (goal: soft start of the inverter).
In the second step, after synchronizing the inverter with the grid, the inverter must feed the balanced three-phase ac load.
In the third step, current control loop references are applied to the inverter, and the inverter should be able to inject current into the local grid without problems. (ID and iq references are converted to alpha-beta-zero format and then applied to the flow controller.)
Until the third step, when the flow control loop references were not applied, the system performed the first and second steps well; But by applying the references of the flow control loop, the performance of the system becomes unbalanced and even the first and second steps do not give the same results as before.
What is the cause of this problem? And why does the performance of the system suffer by applying references related to the flow control loop? It is necessary to explain that we did not have such a problem in single-phase studies.
Thank you for your guidance
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this paper on inverter control may help.
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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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Is there any exploratory research that has found that there is a persistent occurrence of estrus expression in early pregnancy in goats/sheep, especially in animals given synchronization treatment?
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Some goats may still exhibit signs of estrus even if they are pregnant, but these signs might be less intense or shorter in duration compared to non-pregnant goats. Additionally, individual variation exists, so not all pregnant goats will show the same symptoms.
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I just published an academic paper which has been published by a journal. My paper is already successfully searchable on Google Scholar. I was wondering when it will be synchronized in researchgate?
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In addition to the reply by Rob Keller : See this help page ("How to add research") for instructions how to add publications to ResearchGate: https://help.researchgate.net/hc/en-us/articles/14293005132305
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Research the synchronization of chaos in an open feedback system and show the results through a program Matlab
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I would like help with my thesis on chaos synchronization in a quantum dot semiconductor laser feedback system
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Working on an islanded microgrid consisting of two grid-forming units fed by ideal dc sources and there is a common load. initially, only one unit is supplying the load and the other unit is disconnected. synchronization starts at t=1 s and after a specified synchronization criteria is met, the unit is connected. The problem is that the unit does not contribute in power sharing though it is properly synchronized. The control system includes droop control for power sharing, secondary control for voltage amplitude and frequency restoration, and synchronization loop.
Attached simulation results from MATLAB/SIMULINK
Yellow for first unit initially operating alone
Blue for second unit connected approximately at t=3.5 s
Magenta for load
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  1. Mismatched Loads:Load Imbalances: Ensure that the loads connected to each inverter are balanced. Large imbalances in loads can result in uneven power sharing among inverters.
  2. Anti-Islanding Protection:Protection Settings: Anti-islanding protection measures may inadvertently prevent power sharing. Review the settings related to anti-islanding protection to ensure they are not overly sensitive or misconfigured.
  3. Check the DG source
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I have an AC microgrid model consisting of one grid-feeding and two grid-forming units. The control system includes droop control, secondary control, and synchronization loop for smooth connection to the grid. The microgrid works properly in islanded mode and can be synchronized successfully to the grid but when the tertiary control is enabled to manage the power flow, it causes a significant drop in PCC voltage amplitude that causes improper power sharing (the grid active and reactive power don't match the specified reference values). I tried different values of gains for the PI controllers but the problem still exists.
I applied the control loop as illustrated in the attached picture. Are there any adjustments or modifications I should consider?
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The centralized tertiary control in the AC microgrid involves ongoing adjustments to PI controller gains for stability and exploring the implementation of frequency and voltage droop controls to enhance power sharing. Attention to communication delays, accurate measurement points, and validation of the system model is crucial. Additionally, analyzing system dynamics and considering local control mechanisms can contribute to resolving challenges.
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In a currently running following Youtube video, the British Astrophysicist and Professor Brian Cox claims that there would be 10 km difference/error in position per day for GPS location, if Einstein’s relativity is not used to make a correction in the GPS: https://www.youtube.com/watch?v=Mpw68rvF4pc
The engineers. H.F. Fliegel and R. S. DiEsposti of the GPS Joint Program Office of the Aerospace Corporation involved in the development of the GPS system back in 1997 in a published paper came to the following conclusion: “Except for the leading γ [gamma] factor [in their final equation], it is the same formula derived in classical physics for the signal travel time from the GPS satellite to the ground station. As we have shown, introducing the γ factor makes a change of only 2 or 3 millimeters to the classical result. In short there are no ‘missing relativity terms.’ They cancel out.” General Relativity Theory is not needed”. : https://articles.adsabs.harvard.edu/pdf/1997ptti.conf..189F
At about the same time (1997), Peter Wolf and Gérard Petit in a published paper on “Satellite test of special relativity using the global positioning system”, wrote: “A test of special relativity has been carried out using data of clock comparisons between hydrogen maser clocks on the ground and cesium and rubidium clocks on board 25 global positioning system (GPS) satellites. The clocks were compared via carrier phase measurements of the GPS signal using geodetic receivers at a number of stations of the International GPS Service for Geodynamics (IGS) spread worldwide. In special relativity, synchronization of distant clocks by slow clock transport and by Einstein synchrony (using the transmission of light signals) is equivalent in any inertial frame. A violation of this equivalence can be modeled using the parameter δc/c, where c is the round-trip speed of light (c=299792458m/s in vacuum) and δc is the deviation from c of the observed velocity of a light signal traveling one way along a particular spatial direction with the measuring clocks synchronized using slow clock transport. In special relativity δc/c=0. Experiments can set a limit on the value of δc/c along a particular spatial direction (henceforth referred to as “direction of δc”). Within this model our experiment is sensitive to a possible violation of special relativity in any direction of δc, and on a nonlaboratory scale (baselines >~20000km). The results presented here set an upper limit on the value of δc/c<5×10−9 when considering all spatial directions of δc and δc/c<2×10−9 for the component in the equatorial plane”. Phys. Rev. A 56, 4405 – Published 1 December 1997.
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GPS use the Sagnac effect, relativity is of course not needed
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I’m looking at the power output from a wind farm and when for instance the wind speed suddenly drops so does the power output. By using a synchronous condenser (flywheel) that will discharge once the power output from the windfarm begins to drop this will slow the rate of change (power drop) of the wind power . so for example with no synchronous condenser the power drops from 20MW to 10MW after 15s but with the synchronous condenser discharging it’s stored energy it drops from 20MW to 15MW (hypothetically)
I looking at what parameters and equations are needed to show this effect .
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Hi Clare
Here is one link where you can find information on synchronous condenser modelling.
It also has software which you can download or access to further information.
Regards
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The Principle of Synergy because it is based in unit as that one conceived by Ancient Taoism, with its Symbol of Yin-Yang, has taken me to use a pendulum for treating some illness with very good results:
"We end this chapter with a practical application of the principle of synergy and the pendulum. In acupuncture points if you put a pendulum on them, and try to leave it still it will rotate clockwise if the point is synchronized with the fundamental frequency of the point, it will rotate in the opposite direction if it is not, and then to synchronize it you must give it a small impulse clockwise making it rotate for 7 or 9 minutes, and the point will be synchronized and you can check the positive effects by improving the functioning of that point, that is, improving the state of health related to the point. For example, for eye irritation, the Large Intestine 4 point is very effective to calm or improve that
iirritation.
I highly recommend Dr. Deborah Bleecker's book, Acupressure Made Simple, for those interested in the subject, and there you can find points to apply the principle of synergy with the pendulum.
You can also use pellets (small magnetic pellets, or Vaccaria), on those points and you will find them very effective, even for high blood pressure. I know what I am talking about because at my age, 76, one needs to try everything to be in better health, since the entropic degeneration is more and more accelerated, so it can only be slowed down a little with the application of the principle of synergy. Moreover, doing this does not have any side effects, which is one of the main advantages of Traditional Chinese Medicine over Western medicine, since in general drugs have side effects that one has to suffer."
Physics, Semiotic and Ontology
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In this link you can find how the entaglement-photons is something very real... i.e, a real Basic Unit System, or else the encient taoism Yin-Yang concept. that describes a unity between complementaries, not opposed
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I used the analog ports of myDAQ to trigger the scanner mirror, now I want to synchronize the opening of the camera shutter with the movement of the scanner mirror, so I prefer to use the same myDAQ.
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Create a Memory Book: Compile their artwork into a scrapbook or photo album, adding notes and stories behind each piece. This way, you preserve the memories without the clutter.
Turn Art into Greeting Cards: Scan or photograph the artwork and use it to create custom greeting cards for birthdays and special occasions.
Frame and Display: Select a few of their best pieces to frame and display as rotating art in your home. This allows you to showcase their work while keeping clutter at bay.
Make a Collage: Combine multiple pieces of art into a collage, then have it professionally printed and framed as a unique piece of wall art.
Create Wrapping Paper: Scan or photocopy the artwork onto large sheets of paper to use as one-of-a-kind wrapping paper for gifts. It adds a personal touch to presents.
These ideas allow you to cherish your kids' creations while maintaining a clutter-free environment.
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The most frequent interpretation of the Sapir-Whorf hypothesis has been that of a synchronic working. This interpretation focuses on how users of different grammars come to a different evaluation of the world at the same time.
In contrast, a diachronic study would research how the same people come to a different evaluation of the world at different moments in time, in order to investigate how their grammar has evolved. This approach would involve studying language change over time and its impact on thought and perception.
Do you know of any research that has been conducted on this topic? My interest is in applying Sapir/Whorf to the role of communication in crisis resolution, starting from the hypothesis that the solution to the crisis must have found its way into linguistic expressions of the people who originally experienced the problem.
So far, I have been unable to find such research. Any help will be greatly appreciated!
#sapir/whorf #linguisticrelativity #diachronical #crisisresolution #CCO
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About your intriguing large language model idea: I guess we could easily identify differences in syntax, morphology and word choice of the language at different time points. But I don't quite see how we could examine the speakers' perceptions using a large language model. In Psycholinguistics, this is usually done in experiments with different L1 native speakers, for instance via their reaction time to the same stimulus. But this is of course impossible in diachronic research, since "older" L1 speakers are no longer ... available.
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please tell me schematic/ testing procedure, if available
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Rana Hamza Shakil
- Thanks for your answer. I was rather interested in finding out whether we have any instances where full load testing of similar or higher rated motor was actually carried out in vendor's factory. If you have come across any such example, please share
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Is it possible to synchronize research gate with my ORCID entries?
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As of my knowledge cutoff in September 2021, it was not possible to directly synchronize ResearchGate with ORCID. However, both ResearchGate and ORCID are widely used platforms in the academic and research communities, and there have been discussions and initiatives to integrate the two systems more closely.
ORCID (Open Researcher and Contributor ID) is an identifier that allows researchers to create a unique digital identifier for themselves, which can be used across different research systems and platforms. ResearchGate, on the other hand, is a social networking platform designed specifically for researchers and scientists to share and collaborate on research.
While direct synchronization between ResearchGate and ORCID may not be possible, you can still manually link your ResearchGate profile to your ORCID identifier. ResearchGate provides an option to add your ORCID iD to your profile, allowing others to easily identify you and your research activities through your ORCID record.
To link your ResearchGate profile with your ORCID iD, you can follow these steps:
Log in to your ResearchGate account.
Go to your profile settings or account settings.
Look for the option to add your ORCID iD.
Enter your ORCID iD in the provided field.
Save the changes to update your ResearchGate profile.
By adding your ORCID iD to your ResearchGate profile, you can enhance the visibility and discoverability of your research while maintaining the connection between your ResearchGate activities and your ORCID record.
It's worth noting that since my knowledge is based on information available until September 2021, there may have been updates or changes to ResearchGate or ORCID's functionalities. I recommend visiting the official websites or contacting the support teams of both platforms for the most up-to-date information on any potential synchronization options.
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Dear colleagues,
We recently purchased a cable to synchronise the different signals from the Biodex System 3 isokinetic through a PowerLab 8/35 DAQ and LabChart software (ADInstruments). After thorough testing, we have not been able to get the signals to appear in the software. Please, find attached the information of the cable characteristics we followed.
We contacted Biodex (USA and Spanish providers) and they told us that it was necessary to have a tool installed on the computer called Analog Signal Access Interface (ASA Utility)(https://www.biodex.com/physical-medicine/products/software-updates/legacy-software/analog-signal-access-interface).
However, they told us that everything related to the System 3 model was discontinued and they could not provide us with this software.
We would like to kindly request, if possible, if you could share with us a digital copy of the installation file of the ASA Utility. If not, we would like to know if you know of any other possible solution to this problem.
Thank you very much for the attention and help.
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Thank you so much for your answer!
Actually, we do not have the Research ToolKit or ASA Utility installed on our Biodex System 3.
We contacted Biodex and ask them if they could provide us with the installation tool but they said that the System 3 was no longer supported by Biodex due to its age and they didn't have the parts anymore :(
So at the moment, we don't have any solution yet.
Best regards.
Antonio
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About my research articles
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To synchronize with Google Scholar, you can follow these steps:
Go to Google Scholar website: Start by going to the Google Scholar website at scholar.google.com.
Sign in: If you have a Google account, sign in to it. If you don't have one, create a Google account and then sign in.
Go to "Settings": Click on the three horizontal lines at the top left corner of the Google Scholar homepage to open the menu. From the menu, click on "Settings."
Click on "Library Links": In the "Settings" page, click on "Library Links" from the left-hand menu.
Search for your library: In the "Library Links" page, search for your library by typing its name in the search bar. You can also search by entering your library's OpenURL resolver address if you know it.
Check the box next to your library's name: Once you find your library, check the box next to its name to enable access to your library's subscription content through Google Scholar.
Save settings: Finally, click on "Save" at the bottom of the page to save your settings.
Once you have synchronized your Google Scholar account with your library, you should be able to see links to full-text articles that your library subscribes to when you search for articles in Google Scholar
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I have a problem when using a Generator hybrid excitation synchronous with system gride and inverter and uncontrolled rectifier Vdc Don't follow Vdc-ref
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There could be several reasons why the DC voltage (Vdc) is not following the reference voltage (Vdc-ref) in your system. Here are some possible causes and solutions:
Incorrect control parameters: The control parameters of the inverter and uncontrolled rectifier may be set incorrectly. Check the control parameters such as the proportional-integral (PI) gains and time constants to ensure they are correctly tuned for your system.
Faulty sensors: Faulty sensors can cause incorrect measurements of the DC voltage. Check the sensors such as the voltage and current sensors to ensure they are working correctly and providing accurate measurements.
Load fluctuations: Rapid changes in load current can cause fluctuations in the DC voltage. Try to reduce the load fluctuations by optimizing the load characteristics or implementing load forecasting algorithms.
System instability: System instability can cause the DC voltage to deviate from the reference voltage. Analyze the system stability using tools such as small-signal stability analysis and modal analysis. If the system is found to be unstable, adjust the system parameters or implement control schemes such as damping controllers to stabilize the system.
Grid disturbances: Grid disturbances such as voltage dips and harmonics can affect the DC voltage. Implement measures such as filters and surge protection devices to minimize the effects of grid disturbances.
Faulty hardware: Faulty hardware such as faulty capacitors or diodes can cause the DC voltage to deviate from the reference voltage. Check the hardware components and replace any faulty components.
It is important to identify the root cause of the problem to implement the appropriate solution. If you are unsure how to proceed, it may be helpful to consult with an expert in power electronics or electrical engineering
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For OFDM-based systems, many algorithms and techniques have been proposed for each baseband functionality like synchronization and channel estimation. Do practical systems like mobiles employ only one of those techniques for each functionality or adaptively switches between a set of algorithms on the basis of performance metrics?
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Transceiver baseband algorithms are an essential component of modern communication systems, and they play a critical role in enabling reliable and efficient data transmission. In practical systems, the implementation of these algorithms varies depending on the specific technology and application.
Generally, transceiver baseband algorithms are implemented in hardware and software, using a combination of digital signal processing (DSP) and application-specific integrated circuits (ASICs). These algorithms are designed to handle a range of functions, including channel coding and decoding, modulation and demodulation, synchronization, equalization, and error correction.
The choice of algorithm and implementation technique depends on factors such as the specific communication standard, the desired data rate, the available processing power and memory, and the target cost and power consumption. In some cases, custom ASICs are used to implement complex algorithms efficiently, while in other cases, software-defined radios (SDRs) are used to provide more flexibility and reconfigurability.
Overall, the design and implementation of transceiver baseband algorithms in practical systems is a complex and challenging task that requires a deep understanding of signal processing theory, communication systems, and hardware design
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My task is the measurement of the reflection spectrum of the surface of a semiconductor structure. I am using a Xenon lamp as the light source. I am using an Ocean Optics USB4000 spectrometer as the detector. The spectral range I am interested in is 350 - 650 nm.
1 The light from the xenon lamp is chopped at 1 kHz.
2. there is a DC component in the spectrum I am analysing - I want to remove this (unfortunately I have no control over the formation of an additional light source).
Could I ask for help/proposal for a measuring system or configuration of an optical spectrometer to analyse only the ground reflection spectrum over time (removing the DC component)?
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You will need to implement a kind of lock-in detection to remove the background. One possibility would be to use the same chopping also at the spectrometer side. If you acquire data with and without this additional chopping, a weighted difference should remove the background and provide the desired data.
The abovementioned method will work only if the light intensities are stable over the measurement time. A real lock-in detection, that does not have this drawback, would require another detector than the one installed in the spectrometer USB4000.
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Can someone please provide more insight on the mathematical formulation of a frequency constrained UC model, comprising of only synchronous sources, as well as non-synchronous sources. Also what would be the associated MILP code in GAMS?
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The previous paragraph outlines a step-by-step process for using Mixed Integer Linear Programming (MILP) to solve the frequency constrained unit commitment problem in power system operation. The process involves formulating the objective function and constraints, solving the MILP problem using a suitable solver, validating the solution, and implementing the optimal unit commitment schedule in the power system operation. The main constraints include power balance, generator capacity, minimum up and down time, ramping, and frequency constraints. The solution obtained should satisfy all the constraints and be physically feasible
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This figure mainly portrays bifurcation curves for the transverse destabilization of
various low-periodic cycles embedded in the synchronized chaotic
attractor.
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A bifurcation figure is produced by displaying the trajectory-having discarded the transients-as a function of the control parameter, in order, in the present case, to show the period doubling route to chaos and the periodic windows that appear, after the period 2^oo becomes unstable.
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I am doing a study where I calculate EEG frequency band ratios of autistic students. I want to know whether frequency band ratios (e.g. alpha/theta) interpret about synchronicity of the EEG frequency bands (e.g. the synchronicity between alpha and theta)?
Thanks in Advance!
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Hi, the waveband powers of the EEG signal are not as simply interpreted as in the previous answer. There is a lot more going on than simple function or area-like activity attribution. There are several explantions for this, the main one being that frequency powers for a given EEG signal mainly tell us about synchronised neuronal firing in the recorded time period, generated by several areas of the brain (not neccessarily near to the recording site), as they are recorded at the scalp of a participant, so be careful to take into account the context of your recording and research paradigm, as well as other factors (i.e. tiredness, caffeine ingestion, light conditions etc.) that can affect your results. I agree that the time-frequency analysis is better, if your experiment has fixed events that you want to describe, however.
To answer your question, though, the ratios wont tell you anything about synchronicity. You have to use connectivity measures for that, such as PLV, wPLI or some other that depend on the phase of the signal.
Hope this answer helps you somewhat.
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Hi everyone. I have three questions about stranded windings in Ansys Maxwell and how to calculate their losses. Also, I want to know how to calculate friction losses in a motor, so I define it in RMxprt. I want to simulate a synchronous motor. It has 12 stranded windings. Each winding has 24 thin wires that act as one wire, with 5 turns. I want to know how I should tell the software that my windings are like this. And how should I define friction and winding losses in it? Thanks for your responses
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1. Modeling stranded windings in Ansys Maxwell: The "Wire" option in the "Modeling" tab may be used to model stranded windings in Ansys Maxwell. You may design a new wire and set the number of twists and each strand size. Then, using the "Group" tool, you may join the strands together and treat them as a single wire.
2. Calculating winding losses: In Ansys Maxwell, use the "Solver" tool in the "Analysis" tab to compute winding losses. You can define the winding resistance and reactance values in a DC or AC analysis. The losses will then be calculated by the program based on the current flowing through the windings.
3. Defining friction losses: In RMxprt, utilize the "Losses" option in the "Modeling" tab to specify friction losses in a motor. To calculate friction losses, enter the friction coefficient, rotor radius, and rotational speed.
4. Simulating a synchronous motor: In Ansys Maxwell, use the "Motor" feature in the "Modeling" tab to simulate a synchronous motor. The number of poles, rotor speed, stator and rotor winding topologies, and machine characteristics such as rotor and stator resistance, inductance, and leakage reactance may all be specified.
Please keep in mind that the methods outlined above are only a general guide to simulating a synchronous motor in Ansys Maxwell; the exact process may change based on the specifics of your model and the version of the software you are using.
It is also advised that you read the software's user manual and contact Ansys' technical assistance if you have any queries or problems.
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Hello,
Until now, we used Mendeley as reference management software when writing articles.
recently we have tried to share the article online (google docs) so it will be easier for multiple people working on the article. I will just add that we all use the same user in Mendeley so the references will be synchronized.
the problem is that all the references were mixed up when trying to work online.
is there any other software that doesn't have this problem?
thank you,
Sapir
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did you try Zotero?
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I'm using a three-phase PLL for synchronized DG units in a microgrid topology the problem is that when I enable the synchronization loop there is a significant drop in the frequency and it is different from one dg to another could you please suggest a paper or another flexible synchronization method since I use the hierarchical control method.
Thank you so much for your attention.
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During startup, your PLL may experience a phase jump if the initial phase angle of the grid voltage (which is unknown) differs greatly from the initial value of the phase integrator. This phase jump causes spurious transients in the PLL output frequency, because the phase and frequency variables are estimated on a single loop in the PLL. In other words, there is a coupling between them.
To avoid large transients in the PLL output frequency during the startup, the integral gain of the PI controller of the PLL needs to be reduced as the frequency estimation dynamics are mostly controlled by this gain. Another idea is to use an adaptive mechanism to reduce the integral gain ki during the startup and restore it to original value after the phase lock. Take a look at the following article.
Ghartemani, Masoud Karimi, et al. "Problems of startup and phase jumps in PLL systems." IEEE Transactions on Power Electronics 27.4 (2011): 1830-1838.
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hello all,
I want to design a Static Synchronous Compensator ( statcom ) in order to investigate its impact on power system stability but I found some difficulties in calculating some values like (the rating of statcom, DC-link capacitance, L, the voltage of tow winding of the transformer .... ext )
Any reference? Please,
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Thank you very much Samundra Gurung Samundra Gurung
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For example, if I have two well-log curves, one is the reference curve and the other is the test curve. Half of the test curve can be synchronized with the reference curve by slightly shifting it. But to align the rest of the curves, the test curve needs to manually stretch and compress. We can manually solve the problem by stretching and compressing it but how to make this process automated using machine learning or deep learning?
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Thank you Milad Razbin .
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I want to obtain some M-phase hela cells by cell sorting or synchronization. Is there any way?
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At the logarithmic stage of cell growth, add colchicine or colcemid to the culture medium for cell accumulation at the metaphase stage.
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Sometime, adherent cell line like A549 in the attached file analysed by flow-cytometry showed 2 different population that can express different level of various markers. My guess is that the bigger one are cell line that are dividing while the smaller one are the newly divided one. I haven't found any paper that confirm or describe this observation.
In order to obtain an homogeneous and unique population of cells will be necessary to synchronize their cell cycle by starvation ? Shall I analyse by flow the 2 population as distinct or as one ?
Moreover, when the same batch of cell were fixed and permeabilized, they showed a unique and homogeneous cell population by size.
Thanks for any heads-up
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Ludmila Akhmaltdinova was right ! They are early apoptotic cells, we did an AnnexinV/dapi staining amd they are apoptotic indeed.
Thanks to all.
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I start learning about synchronization between different states and criticality in Parkinson's disease. Would it be possible for someone to recommend a relevant and practical review paper that examines the new challenges arising in this field?
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Dear Sheida,
Here, we discussed the role of cortico-subcortical circuits in the emergence of abnormal beta oscillations as well as abnormal synchronization in PD:
The relation between patterned neural activity and abnormal synchronization in PD is briefly discussed here:
A reference review article can be found here:
Also, take a look at:
Good luck,
Best regards,
Mojtaba
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Dear researchers,
I run a research model in AMOS. I came through this reality that my mediating variable can also play moderating variable simultaneously both theoretically and statistically theoretically. My question is if there is any justification to prove this synchronization effect?
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Yes, it can play both but you have to justify it with theoretical arguments.
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Error in port widths or dimensions. 'Output Port 1' of 'variable_speedwith_gearratio/Permanent Magnet Synchronous Machine/Electrical model/abc2qd/Mux3' has 46 elements. This port does not accept the dimensions (or orientation) specified by the output signal.
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Pankaj Kumar In the simulink window, go to Simulation -> Model Configuration settings, then to the solver tab -> Solver options, and try 'variable step' and 'auto' in the solver. You may also change the'relative tolerance' under 'Additional options' to 1.0e-4 or 1.0e-3 and see if the issue goes away.
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During the operation of industrial hoists an external mechanical vibration happened using two synchronous motors (master and follower)?
Is it solve this problem?
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Dear Thaker, to allow making a reasonable answer, you must describe far more precisely the vibration problem you want to solve! (graphics, sketches of the affected plant, on-site pictures, vibration records...) Thanks!
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Hello,
Would anyone have any suggestions for up to date resources regarding the optimum amount of hours for synchronous learning? I am looking for data on optimum number of hours of digital learning per day, per week, and per month.
I would also be interested in any research done on the optimum duration of a virtual classroom.
Any suggestions for up to date literature would be helpful and welcomed.
Thank you!
Aliaa Shaaban
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There are many criteria, the most important of which is the interview and the open book test
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Hello everyone
Is the maximum torque per ampere (MPTA) method only applicable in case of synchronous motors or can it be used in the control of generators?
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Thank you Mr. Bouchaib
This is the only paper I have found in the literature and I am looking for confirmation from other researchers
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Two synchronous machines with different mechanical torque inputs of say 2 Nm to 17 Nm for machine 1 and 5 Nm to 15Nm for machine 2 are to be specified in the form of droop control for stability analysis. An idea on how this could be implemented in MATLAB would be so much appreciated. Any relevant journals that could be of help would also be appreciated.
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Irfan Qaisar thank yor for the recommendation
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In my thesis, I will study the leader behavior's or leadership styles effect on job satisfaction. I am intend to use single factor job satisfaction scale such as Michigan scale, Abridged job in general or global job satisfaction scale. I am curious about which leadership scales work well such single factor job satisfaction scales? If anyone have such experience about this topic, could you please give me some advice?
Thank you in advance.
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Hi Betül,
I would say and according to my knowledge that transformational leadership is the most suitable in workplaces nowadays, I will add the use of the organisational best practice concept as part of this leadership, which is based on continuous improvement to reach long-term sustainability which is key to successful organisation strategies. Studies have found transformational leadership is the most powerful leadership style for boosting employee well-being. Leaders who use this style seek to intellectually stimulate, support and grow each member of their team on an individual basis. however we should state the followings:
Well-being benefits:
  • Empowers team members and builds trust and purpose.
  • Encourages personal growth, which enhances employee engagement and job satisfaction.
  • Able to inspire positive change within their teams, leading to greater motivation and performance.
Well-being risks:
  • If a leader’s vision is unreasonable or high demand, it can lead to burnout.
  • Requires constant communication—if staff don’t receive this they’ll lose interest.
  • Because the leader focuses on growing their teams individual by individual, some team members may get more focus than others, which may appear as favouritism.
  • Hence, as mentioned previously there is a need to blend transformational leadership with organisational best practice to eliminate the negatives and increase the positives.
  • I am including a conceptual research study into: " A meta-analytic examination of the construct validity of the Michigan Organizational Assessment Questionnaire Job Satisfaction Subscale", please have a look at the research done, and try to extract the type of leadership that contribute to one factor job satisfaction component, try to bring to the surface the keywords throughout your reading to the paper. All the best with your research interests.
Best wishes,
Sofiane
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Hello everyone, I would like to synchronise mouse embryonic stem cells in either G1 or G2/M phase in order to study the transcription of a set of genes of interest. I'm having some trouble finding a suitable protocol. Any recommendation is appreciated!
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Samantha Rustichelli The most popular method of cell cycle synchronization, as far as I know, is the traditional thymidine block. I tried it on mESCs and it worked in my case.
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I am measuring the tensile strength of thin (<1cm) dumbbell-shaped nanofiber membranes.
I have developed a custom tensile testing setup which primarily consists of:
1. A movable stage.
2. A load cell of appropriate force rating is attached to the moving stage.
3. A DC power supply to excite the load cell.
4. A digital multimeter connected to the DC power supply to measure the output voltages from the load cell.
5. A DSLR camera to record photos of the nanofiber membrane at regular intervals during the tensile testing to measure strain.
I am using a camera to record photos of the nanofiber membrane to calculate strain using a GUI based MATLAB program that tracks the edge of the moving end. I am using an optical method to measure strain because I cannot attach an extensometer to the nanofiber membranes as they are fragile and it won't be feasible.
The target of my experiments is to obtain voltage outputs from the digital multimeter every 1 sec and photos from the DSLR camera also every 1 sec with the measurements from the digital multimeter and the DSLR camera being in perfect sync.
I am currently triggering the digital multimeter using an Excel script provided by the manufacturer of the digital multimeter and I am using an intervalometer to trigger the DSLR camera. The problem is I am triggering both instruments manually and therefore the measured voltage and recorded photos are not in sync.
Can anyone please give me suggestions on how to sync both hardware which are from different manufacturers?
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No, sadly I haven't been able to solve my issue yet. The model of my DMM is: ADCMT 7461A (https://www.adcmt.com/en/products/dmm/7451)
The 7461A model has a USB interface and a GPIB interface only.
Yes, the commands for the 7461A DMM are in its reference manual and they are stated as:
Select from SCPI, ADC, and R6552
SCPI: SCPI Command (GPIB only)
ADC: Command used in ADC CORPORATION (GPIB/USB only)
R6552: Command used in ADC CORPORATION's R6552 (only 7451A,
GPIB only)
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I am
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Siddharth Kamila Subsynchronous resonance is a phenomenon in which one or more of the resonant frequencies of the turbine generator shaft in thermal power units coincide with a natural resonant frequency of the electrical system with a long radial transmission network with series capacitors, resulting in a voltage drop.
Sub-synchronous control interaction (SSCI) is a stability issue induced by the interaction of a doubly-fed induction generator's control system and a series-capacitor compensated electrical network. It might cause system instability if not addressed appropriately.
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For thinking - in regard to overtaking "believes, dogmas"
Blind adoption of believes, dogmas by people in populations (Psychology of the Crowd, by Gustave Le Bon) seems to be psychologically coupled and physically from a social scientific point of view explainable:
here, too, synchronization within masses occurs
- and it seems also in accordance to the Kuramoto model.
For this, only a corresponding marketing strategy, seems to be necessary (applied maths / physics).
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Basis:  Yoshiki Kuramoto assumed in 1975 that there is a weak relationship (better coupling) of oscillating systems (oscillators) and that these are almost identical. Kuramoto found that mathematically between each pair of coupled oscillators, their interaction is sinusoidally dependent on the respective phase difference, resulting into the so-called *Kuramoto Model* This even can be illustrated using initially non-synchronous metronomes, which in the course (under certain conditions: moveable surface) synchronize themselves.
This even seems a basic model in nature, biology, chemistry, physics and/or social sciences: – synchronizing of coupled systems:
– collective flasing of fireflies [Buck 1988]
– collective oscillation of pancreatic beta cells [Sherman 1991]
– the heartbeat synchronized with ventilation [Schäfer 1998]
– pedestrian induced oscillations on bridges [Strogatz 2005]
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References
-Kuramoto, Yoshiki (1975) Self-entrainment of a population of coupled non-linear oscillators. In: Araki H (eds.) International Symposium on Mathematical Problems in Theoretical Physics, Lecture Notes in Physics, Volume 39, Springer-Verlag Berlin, Heidelberg. DOI: 10.1007/BFb0013365.
-Buck J (1988) Synchronous rhythmic flashing of fireflies, IIi. Q Rev Biol (63)3), 265–289. DOI: 10.1086/415929.
-Sherman A, Rinzel J (1991) Model for synchronization of pancreatic betacells by gap junction coupling. Biophysical journal 59(3), 547–559. DOI: 10.1016/S0006-3495(91)82271-8.
-Schäfer C, Rosenblum MG, Kurths J, Abel HH (1998) Heartbeat synchronized with ventilation, Nature 392(6673), 239–240. DOI: 10.1038/32567.
-Strogatz SH, Abrams DM, McRobie A, Eckhardt B, Ott E (2005) Theoretical mechanics: Crowd synchrony on the millennium bridge, Nature 438(7064), 43–44. DOI: 10.1038/43843a.
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Credit 'spontaneous synchronization of metronomes' video
#psychology #synchronization #nature #physics #chemistry #biology
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Yes, Björn, these phenomena of spontaneous synchronization of motions include the so-called nano-resonance or Egorov resonance, which explains, for example, the nature of the well-known narrow and intense optical J-band, where, under certain (resonant) conditions, the electronic motion and the motion of the nuclear reorganization of the environment are synchronized. There are good reasons to believe that nano-resonance plays an important role in the life of living organisms.
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Please i need a guidance or a referred material that can exclusively explain how to determine the droop coefficients (both for a machine and multi-machine connected grid system) and is there any standard to the maximum active or reactive power synchronous machine can inject to or absorb from the grid
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Mohamed-Mourad Lafifi thank you so much for the resonse
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Measures of interest:
- active power [p.u.]
- electric frequency [p.u.]
- mechanical power [p.u.] (in the case of synchronous machines) or equivalent in the case of renewable energy sources (RES) controllers.
Questions
1) Is it reasonable to assume that the provider has access to the measures of interest at the bus of each synchronous machine or RES (and in general all sources of inertia)?
2) Is the answer independent from the network dimension or does it vary according to the considered level (local, regional, national)?
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I have three 1-ph inverters and they are needed to be connected to a 3-ph grid. For such, all the three inverter's output voltage must have equal frequencies and 120 degree phase shifted. In other words, they all must be in synchronization. I'm developing a model using Simulink.
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Zawar Khan sure, please share.
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I've built a multi-valued logic model containing 64 nodes. Do someone here know a tool able to run 1,000 initial states for this simulation in synchronous update?
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This is what those big HPC systems ( are designed to do: hundreds or thousands of multi-core nodes connected by InfiniBand, capable of memory to memory transfers of halo or ghost cells on the edges of sub-grids, executing in global timesteps and occasionally checkpointing the grid for fault-tolerance and recovery. Dynamic mesh grids are required for the most complex problems (probably not for yours.) The top ten HPC systems are described here: https://www.datacenterdynamics.com/en/news/fugaku-retains-top-spot-worlds-most-powerful-supercomputer-top500-ranking/#:~:text=Fugaku%20is%20still%20the%20world's,the%20project%20began%20in%201993.
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inverter state space model
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Thank you sir
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The purpose of synchronizing two systems is to provide the conditions for the dynamic behavior of two similar or different systems to coincide with non-identical initial conditions over time.
In disease or medical systems where the output of shapes is often exponential according to defined parameters and variables, is it possible to synchronize the two systems?
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Dear Armand Sylvin Eteme ,
Siamak Heidarzadeh
thanks for your suggestions and the articles.
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there are some differences between these two types of generators.
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induction generator has a simpler design and is economic for renewable energy sources for power production. In a small power plant synchrnous generator is not preferred because of its compkex construction. also because it costs expensive.
induction generator requires reactive power for its excitation to produce active power. But synchrnous generator to prove active power produces reactives power required for its excitation by itself.
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Hello dear friends,
I am looking for a computational process on which I had to synchronize signals with different sample rates. The signals period is static but different. Also, they should not be lost. The signal rates are not so much (under 1 Khz). What sort of algorithm or method would you suggest to me?
Simple upsampling and downsampling are not desirable.
Sincerely yours.
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Use the shift theorem on one set of data to line up with your other signal.
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Hello,
I have been working on a project where I have to mix multiple audio signals of the same source coming from different slave smartphones on one master smartphone in a distributed way. Now I have aligned multiple audio packets (Packet level synchronization) in real-time (still unable to do sample-level synchronization) but when I mix them I get a comb filter effect.
My packet contains 40ms of data at a sampling rate of 48KHz. How can I eliminate this effect?
I am more into ways of making it smooth rather than subtracting delayed signals? Is there any kind of filter somewhat "AntiComb Filter" to make this happen?
Regards,
Khubaib Ahmad
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George Slade Thank you for your help. We figured out that adding magnitudes of both signals while using a phase of only one signal not only enhances our voice but also diminshes the spatial texture of voice.
Thank you for the help.
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Citations of my articles are not recorded in research gate which are available in google scholar and vise-versa. Could you please synchronize your citation counts with google scholar so that no citation is left. Alternatively, how can I manually entry the citations which are not yet recorded?
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I observed that RG relies not only on the uploaded papers in their system to improve citations but also on uploading researcher's articles that are not using the RG platform.
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  • In our fluorescence instrument, if I select Scan mode as Synchronous then it asks to give Emission wavelength ( EM WL), Excitation start wevelength (EX start WL) and Excitation end wavelength (EX end WL). Then How to fixed Δλ = 15 nm or 60 nm as many literatures suggest for synchronous fluorescence of BSA.
  • If the maximum intensity is observed at λex = 346 nm, is it the way to put EM WL at 331 nm to maintain the Δλ = 15 nm and EM WL at 286 nm to maintain the Δλ = 60 nm?
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Besides positioning solutions, Global Navigation Satellite Systems (GNSS) receivers can provide a reference clock signal known as Pulse-per-Second (PPS or 1-PPS). A TTL electrical signal that is used in several applications for synchronization purposes.
  1. Is the PPS physically generated through a digitally-controlled oscillator (or line driver) whose offset is periodically re-initialized by the estimated clock bias (retrieved by means of PVT algorithms)?
  2. Are there any specific filters/estimators devoted to a fine PPS generation and control?
  3. Does some colleague know any reference providing technical details on this aspect?
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we worked on the design and implementation of of a GPS receiver for the sake of extracting the one PPS, we could realize the signal acquisition phase and the tracking phase where we could generate a copy of the carrier with reduced frequency and of the pn conde clock generator. BY dividing these signal with appropriate division ratio one can get the one PPS. Its stability was to be evaluated. But the last divider stage is not yet realized and we plan to realize it and after that evaluate its accuracy and stability. please see the papers:
Once achieved I will notify you.
Best wishes
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Edit: Thank you all, we have closed the survey for responses.
Hi all,
We are conducting research on the metaphorical perceptions of higher education instructors towards their roles in synchronous hybrid learning.
Could you please help us by filling out this short (about 3 min.) survey?
Here is the link:
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Apologies for not being timely..
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Dear colleagues,
what are applications where low voltage, variable frequency driven synchronous machines (both PMSMs and electrically excited) in the power range of 1 - 10 MW and rotational speed range of 100 - 400 rpm are suitable?
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Dear Janne:
I think you could benefit from this valuable article about your topic at:
Also for example, you can check on the following, from TES VSETÍN s.r.o.
Jiráskova 691, 755 01 Vsetín, Czech Republic:
Small Hydropower Plants – GSH, GSV, GSP
Generators for small hydropower plants are distinguished by robust construction and excellent parameters with high efficiency. They are attractive, above all, due to the combination of high reliability and innovation that they feature. This results in an economically advantageous solution. Thanks to a new design of rotors with salient poles,the machines achieve high outputs up to 30,000 kVA. Our long experience ingenerator manufacturing has resulted in the production of ecologically clean energy in more than five hundred hydropower plants.
Wind – GSV, GSP
Synchronous generators have been optimized for outputs up to 30,000 kVA, they feature high efficiency and precise speed regulation. A new innovation is our generator with permanent magnets with outputs up to 4,000 kVA. Thanks to the progressive design, the machine is 30 % lighter than machines with a wound rotor. With excellent efficiency, easy installation and longer service intervals, the machine maximizes yield. The generators are optimally compatible with the mains; feeding is ensured with frequency converters.
Marine – GSH, GSV, GSP
These generators are suitable for use in the shipping industry: for tankers, supply ships, multi-purpose cargo ships and ferryboats. They are used to feed electrical networks, emergency supplies of special aggregates or for auxiliary drives. The machines are intended for individual or parallel operation.
Pilot exciters – BP
Special synchronous generators with permanent magnets, which are used for power supply of automatic voltage regulators of synchronous machines and other devices with suitable parameters. The maximum power of the pilot exciters is 3500VA. Speed range 0-1500 rpm. More information can be found in the enclosed pilot exciters datasheet.
I hope it will be helpful ...
With my best regards ...
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I have preparing my PC-3 cells for a cell survival assay. I starve the cells for 16-18 h to synchronize my cell in G0/G1. when I check my cells they are more confluent than before. shouldn't cells stop going through the cell cycle during synchronization? Should i except growth to effectively stop after the 18th hour and not before?
I am also not sure of the starvation period, I have seen longer periods in the literature. can someone please confirm for PC-3 starvation time?
Thank you
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Hello,
Serum starvation is usually carried out when the cells are 70 - 80% confluent. You can extend the starvation period to 24 hours. You can even go upto 48 hours. It depends on the cell line.
Best.
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Good morning everyone,
I would like to synchronize my image acquisition with some external event happening in my sample. I explain better. I have a microfluidic device actuated with a pneumatic system. This pneumatic system is controlled via a Matlab script. I would like that microscope and Matlab script somehow talk to each other (maybe through MicroManager?) so that when a certain condition is respected in Matlab, the microscope takes an image. For istance, the functions performed by the microscope might work something like this. loop:
  • go to position 1 and stay there
  • when the pressure is zero take a picture
  • wait 15 min
  • go to position 2 and stay there,
  • when the pressure is zero take a picture
  • wait 15 min end loop
Does anyone have experience with this? I tried to give a general idea of my needs based on the system I am using already, but I am open to more system and ideas. Any suggestion or advice is very appreciated. Thanks for you time and help,
Simone
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Yes. Using camera acquisition toolbox commands inside an if statement
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is anybody having research paper on stolon synchronization and tuber initiation in potato seed
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Yes sir
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Using a MUT vs parent cell line, my colleagues and I have seen increased proliferation in MUT cells. To address this further, we have been synchronizing cells 48h in 0.1% serum (with 10mM sodium butyrate added for the last 24h, G1/S block) and then releasing them back to 10% FBS and monitoring cell cycle progress using PI. I'm having some difficulty interpreting the data, so thought I would check on here to see if those more versed in cell cycle analysis can help. Here is what we are seeing:
1. Unsynchronized WT cells actually have reduced % cells in G2/M phase (14% vs 17% in parent cells, so mild).
2. After 48h of synchronization, we now see MUT cells having increased % G2/M phase (11% vs 9% in parent cells).
3. When we release the synchronized cells and put them back into 10% FBS, 12hr/16/20h later the MUT cells all have increased %G2/M (10%/6%/3.5% vs 6%/3%/2% in parent cells) as well as increased increased % S at 12h/16h (12%/13% vs 6%/9% in parent cells).
These differences, while statistically significant, seem mild, but would the interpretation be that the MUT cells have increased entry into G2/M phase? I was expecting to see a huge defect in the majority of cells that are synchronized, but at 24h when the bulk of the cells are in S phase, I don't see a difference between MUT and parent cells. I'm not sure how to interpret this, but am wondering whether I should consider synchronizing the cells at a different point in the cell cycle to try to bring out what appears to be acceleration to G2/M phase.
Any help is greatly appreciated! This is my first time giving cell cycle analysis a go so I'm a bit of a newbie here :)
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Not following and knowing all the story behind it, it looks the Mut cells show a slower cell cycle progression with an impression that the cells have trouble exiting the S phase. You could say "increased %G2/M" as you mentioned.
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I am exploring potential chemical based approaches for cell cycle synchronization and would like to hear from anyone with experience on this technique what they believe to be the most applicable approach with respect to ease of use, reproducibly, cost, etc. An ideal technique would be one that is easily reversed allowing for dissection of multiple stages in a synchronized fashion..
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Generic schematic is shown below for understanding.
Answer to the aforesaid question is requested from the experts, while considering the power flow equation i.e P = [Vs*Vr*Sin(theeta)]/X
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Markus Pöller Thank you Markus. Current loops are there to limit current through the converter. is there any role played by this current loop in synchronizing the DSTATCOM at PCC?