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.
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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!!!
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No I can assure you those are just some dust particles or some microfibers that was present during the manufacturing of the plate/flask you're using. As you mentioned, you can only see this as shadows when you're observing your cells, it means that the fibers are in a different layer than your cells. If the fibers are floating in your media (like from the serum) it will be washed away during media change/passage. So most likely the layer that you took these images from are the plastic or base of the plate. It won't affect your cells.
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توضيح المشكلات النفسية في ظل الحروب والكوارث
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The psychological impact of wars and disasters is profound and wide-ranging, affecting both individuals and communities. The most prominent psychological problems arising in these contexts include:
1. Post-Traumatic Stress Disorder (PTSD)
PTSD is one of the most common mental health issues in the aftermath of wars and disasters. Individuals exposed to life-threatening events often experience flashbacks, nightmares, hypervigilance, and emotional numbness. Studies show that 30-40% of individuals exposed to extreme trauma in conflict zones develop PTSD (Santiago et al., 2013).
2. Depression
Wars and disasters often lead to feelings of hopelessness, loss, and grief, contributing to major depressive disorder (MDD). Depression can manifest as persistent sadness, fatigue, sleep disturbances, and feelings of worthlessness. Both war survivors and disaster victims are at heightened risk of depression, particularly if they have experienced personal loss or injury (Murthy & Lakshminarayana, 2006).
3. Anxiety Disorders
Generalized anxiety disorder (GAD), panic attacks, and social anxiety can arise from the instability and uncertainty of war and disaster settings. The constant threat to safety leads to excessive worry, difficulty concentrating, and irritability, which can persist even after the immediate danger has passed (Neria et al., 2011).
4. Adjustment Disorders
After disasters, many individuals face challenges adapting to new environments, loss of homes, or separation from loved ones. This leads to adjustment disorders characterized by difficulty coping with changes, emotional distress, and disrupted functioning in daily life (Bryant et al., 2017).
5. Substance Abuse
The psychological burden of war and disaster can drive individuals toward substance abuse as a coping mechanism. Increased alcohol and drug use often serves as a temporary escape from psychological pain but can lead to long-term health issues and further exacerbate mental health problems (Gupta et al., 2019).
6. Psychosomatic Disorders
In the context of wars and disasters, psychosomatic symptoms like headaches, gastrointestinal issues, and chronic pain often arise due to the body’s reaction to prolonged psychological stress. These physical symptoms are often not linked to medical conditions but are a manifestation of underlying emotional distress (Katon et al., 2007).
References:
  • Santiago, P. N., et al. (2013). A systematic review of PTSD prevalence in disaster survivors. Journal of Traumatic Stress, 26(5), 573-582.
  • Murthy, R. S., & Lakshminarayana, R. (2006). Mental health consequences of war: A brief review of research findings. World Psychiatry, 5(1), 25-30.
  • Neria, Y., et al. (2011). Mental health and disasters. Cambridge University Press.
  • Bryant, R. A., et al. (2017). Acute and chronic posttraumatic stress disorder: A network approach. Journal of Clinical Psychiatry, 78(7), 887-893.
  • Gupta, H., et al. (2019). Substance abuse in post-conflict zones: A review. Addiction Research & Theory, 27(5), 384-392.
  • Katon, W., et al. (2007). Psychosomatic medicine and primary care: An integrative approach. Journal of Clinical Psychiatry, 68(3), 1051-1058.
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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
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When I say the primer is annealing in 2 places I had in mind the following. If the amplimer is 500 bases then the forward primer might be 1-20 and the reverse 500-480 but if the reverse primer can also anneal less well at 570-550 then you might get 2 bands on all amplimers. Increasing the annealing temperature may minimise the second band. It may be that your annealing temperature is just on the level that sometimes gives 2 bands and sometimes only 1. This really does not look like a gel running problem to me. Good luck
Paul
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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:
  1. Dedicated Address in the Event Horizon: Every particle has a unique address in the event horizon, which has its own dedicated spacetime fabric.
  2. 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.
  3. Shadow Particles: Particles have shadows (replicas) on other spacetime fabrics corresponding to different addresses.
  4. 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.
  5. 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.
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Thank you for your detailed feedback. I appreciate the time you took to provide such an in-depth response. I would like to address some of the points you raised regarding my question and my interpretation of quantum mechanics.
  1. Nature of Quantum Mechanics: I understand that quantum mechanics (QM) is a statistical framework for predicting probabilities of measurement outcomes. My work does not intend to redefine QM but to offer an interpretation that might provide physical intuition behind its postulates.
  2. Wave Function Collapse: While you rightly point out that wave function collapse is a mathematical tool, my interpretation seeks to provide a physical mechanism that might underlie this mathematical abstraction. The idea is to bridge the gap between the abstract formalism and physical reality, which many interpretations attempt to do, including Copenhagen and Many-Worlds.
  3. Terminology and Physical Reality: My use of terms like "spacetime," "event horizon," and "particles" is meant to create a conceptual framework that could offer a coherent picture integrating QM with physical concepts. I agree that these terms traditionally belong to general relativity and classical physics, but exploring their potential application in quantum interpretations can lead to new insights, even if these ideas are speculative.
  4. Quantum Mechanics and General Relativity: Your point about general relativity (GR) being falsified at large scales is noted. However, many researchers continue to work on unifying QM and GR or finding new frameworks that can explain phenomena across different scales. My work is part of this ongoing effort to seek coherence in our understanding of the universe.
  5. Relevance to Physics and Engineering: I respectfully disagree with the notion that QM is irrelevant to physics or engineering. QM has profound implications and applications, including in technology, material science, and our fundamental understanding of the universe. My goal is to contribute to these discussions by offering a new perspective.
In summary, my paper aims to stimulate discussion and exploration of alternative interpretations of QM. I welcome constructive criticism and debate as they are essential for scientific progress. I hope this clarifies my position and intentions, and I look forward to further discussions on this topic.
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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:
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Eugene: Good point. I like the ambiguity of the word "journey," because a literal journey has a temporal and spatial relationship with a metaphorical journey or the journel as related to archetypes.
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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.
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Hi Deepak Kumar Sahu, You can check out ''L-edit'' or ''Layout Editor'' software, which is usually a standard for mask design in semiconductor manufacturing. It allows you to export your mask, after preparation, into various formats, e.g., GDSII, DXF, etc.
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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
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Your interpretation demonstrated you just explained your imagination rather than a proper experimental consideration. Please take time and see:
or at ResearchGate:
Best regards,
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The shadows of two objects undergo peculiar deformation when they intersect, regardless of the distance between the objects along the optical axis:
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Dear Researchers, I am pleased to share my latest work on optics and diffraction, focusing on the deformation of shadows when they intersect. This article has recently been published in the European Journal of Applied Physics. I hope you find it intriguing. http://www.ej-physics.org/index.php/ejphysics/article/view/304
Best regards, Farhad
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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
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In my experiments, I typically follow the procedure like;
TCA is added to the extract to a final concentration of 10 to 20% and the proteins are allowed to precipitate at 4C overnight (1:1, v/v, sample to TCA solution)...Next, three replicates of ice-cold acetone wash are applied... afterward, the dried protein pellet is dissolved and the protein amount is calculated using BCA to see the best TCA final concentration in terms of protein recovery (precipitation efficacy)...
Good luck
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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 .
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A few years ago we purchased stainless-steel shadow masks from this company:
They require a CAD file containing the geometric features of the mask.
We currently use the masks for sputtering deposition.
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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!
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@willmar Sauter, with all do respect.
I'm very attuned to what you have upheaved, Professor. However, the very crux I'm trying to pin point is that the Aristotelian theatre is not the only theatre in the world which is considered in the literary scholarship as the starting point for the theatrical practices, it is simply not!
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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.
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1. Inevitable for simple tasks
2. Useful for editing papers to foreign students
3. Helpful for organizing ideas
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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
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As long as we are speculating, why stop at four dimensions? (We are arguably four dimensional beings when time is considered to be a dimension.) Mathematics for multidimensional analysis already exists, but our evolved bias favouring three spatial dimensions is a very strong handicap when we try to imagine extra dimensions.
In the years before dark matter and dark energy were proposed by very sharp scientists, my 3d spatial bias would have led me to believe that extra dimensions are impossible. But today we are aware of phenomena which cannot be explained by standard physics. So there is a plausibility argument for extra dimensions.
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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!
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I think this grid like shadows because of diffrence in borders lightening.
To refuse it you must select border removed region of interest in camera setting Or if not availabe adjust microscope condenser hight and pupil to have uniform light.
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How to fabricate complex heterostructure-based devices using shadow mask method?
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A shadow mask is used for defining the areas of a device and creating microstructures on it with precision by masking or covering part of the target surface. Shadow masks, also known as stencils or deposition masks, are used in a wide range of different vacuum-chamber evaporation and sputtering processes to fabricate both simple and complex semiconductor, micro-engineered electronic components and variety of products in the consumer and life science world. Compared to photolithography, masking method has advantages of lower cost and simpler process, although it may not achieve the same level of precision as electron beam lithography (EBL). However, one easily overlooked advantage of masking method is its ability to be heated, which is particularly important in cases where substrate heating is required.
Let's take an example of fabricating complex devices using masking method with a crossbar array of memristors based on vertical heterojunctions.
Firstly, let's refer to a paper published in Advanced Materials. In this paper, each intersection point of the crossbar array consists of a 4-layer vertical heterojunction structure: bottom electrode Pd-Ta2O5-TaOx-top electrode Pd. If we were to use masking method to fabricate such a device array, what would be our approach?
Figure 1:Pd-Ta2O5-TaOx-Pd heterojunction-based memristor crossbar array.
Step 1:Shadow mask design. Here we need at least four shadow masks: Shadow mask #1 for the deposition of bottom electrode, shadow mask #2 for the deposition of Ta2O5, shadow mask #3 for TaOx, and shadow mask #4 for top electrode. As shown in Figure 2, we should make sure that when these four shadow masks are overlapped or positioned at the same place, they form the memristor crossbar arrays.
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Figure 2: Shadow masks for fabrication of memristor crossbar arrays.
Step 2:Device fabrication. After the completion of shadow masks design and processing, we can start fabricating devices, as shown in Figure 3.
1) Deposition of bottom electrode through shadow mask #1
2) Deposition of Ta2O5 through shadow mask #2
3) Deposition of TaOx through shadow mask #3
4) Deposition of top electrode through shadow mask #4
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Figure 3:Fabrication of memristor crossbar arrays by shadow mask technique.
The process of fabricating devices using the mask method may seem simple, but in reality, there are many factors that need to be considered. These factors not only determine the success or failure of device fabrication, but also determine the minimum size of the devices. These factors include:
1. Mask Alignment Error or Positioning Error: Taking the preparation of memristors as an example, in the fabrication process illustrated in Figure 3, it is crucial that the mask used in each step of the process is aligned as accurately as possible to the same position. Only then can each material deposited ultimately form the vertical heterostructure array we require. The error in the deviation of the mask from the predetermined position is one of the key factors determining the minimum device size. Currently, the error in commercial mask alignment devices is around ±5 μm. However, a significant drawback is that they often cannot be used at high temperatures and have a large volume, making them unsuitable for most vacuum systems.
2. Mask Feature Size: The feature size refers to the minimum processing size of gaps, circles, square holes, etc. Generally, this is determined by the mask plate processing equipment and processes, such as laser power and spot size. The feature size of the mask plate is also one of the important factors determining the minimum device size. Currently, advanced femtosecond laser cutting can achieve feature sizes below 1 μm.
3. Mask Processing Error: The processing of the mask plate, such as laser processing or etching, may have positioning errors, especially in XY positioning errors and repeated positioning errors of laser cutting devices. This results in a discrepancy between the actual size of the processed mask plate and the design size. Currently, the mainstream fiber laser devices on the market have an error of ±15 μm, while femtosecond laser devices can achieve errors as low as ±1 μm.
4. Spacing Between Mask Plate and Substrate – Shadow and Diffusion Effects: Due to the presence of a certain gap between the mask plate and the substrate, during the process of material deposition through the pores, shadow and diffusion effects can lead to the actual size of the prepared structure being slightly larger than the design size. Generally, the smaller the distance between the mask plate and the substrate, the weaker the shadow and diffusion effects, and vice versa.
Therefore, when using the mask method to fabricate complex microelectronic devices, especially those involving multilayer heterostructures, attention should be paid to the following aspects: 1. Reduce mask alignment errors or positioning errors; 2. Reduce mask pattern feature sizes; 3. Minimize mask processing errors; 4. Reduce shadow and diffusion effects.
Currently, a widely used method is to create an opening on a stainless steel plate, weld the mask plate on one side of the opening, and form a groove on the other side where the substrate is mounted, as shown in Figure 4a. This setup can only accommodate single-step processes and cannot be used for multi-step material deposition or the fabrication of complex devices, such as the memristor crossbar array mentioned earlier. Here, we recommend a new product – the shadow mask support and alignment device (Model X-S04, Jiangsu Ximai Technology Co., Ltd., http://www.ximai-tech.com), as shown in Figure 4b. This device consists of a sample holder, an elastic substrate housing, a mask support frame, and a mask alignment tool. The substrate is mounted in the substrate housing, the mask plate is installed on the mask support frame, and the mask alignment tool ensures precise alignment of the mask plate at the same position.
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Figure 4:(a) Mainstream mask panel support device. (b) Model X-S04: The shadow mask support and alignment device that combines mask support and alignment.
This device has the following advantages:
Zero alignment error/positioning error: The unique alignment and locking device of the mask ensures that after replacing different mask plates, the mask plate is precisely positioned in the same location, completely eliminating alignment errors or positioning errors caused by the inability to position different mask plates in the same location.
Elastic substrate holding device: The built-in substrate holding device with tiny springs can provide appropriate elasticity to secure the substrate. Its compression rebound design is compatible with substrates of different thicknesses, ensuring good thermal conductivity while fixing the substrate, avoiding errors caused by substrate slippage, and preventing problems such as substrate fragmentation or deformation of mask alignment devices that may occur when using rigid substrate holding devices.
Minimization of shadowing and diffusion effects:The distance between the mask plate and the substrate is reduced to as small as 50 μm, resulting in a tested size broadening due to shadowing effects of less than 2 μm.
Plug-and-play design for mask plates: Replacing the mask plate is simple and convenient. It can be easily positioned by a simple "insert-lock" mechanism, and can be quickly removed by "unlock-pull out". This allows for rapid replacement of different mask plates required for various process steps.
High-temperature resistance: The key components are made of high-temperature resistant aerospace materials, capable of withstanding temperatures up to 550 ℃. They are particularly suitable for processes requiring high temperatures in thin film growth and device fabrication, such as MBE, PLD, ALD, sputtering, and thermal evaporation, etc.
Interested in this product?
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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?
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  • Check graphics settings and update drivers.
  • Rebuild model (Ctrl + Q) to refresh display.
  • Switch display styles (e.g., "Shaded with Edges").
  • Ensure graphics card compatibility.
  • Toggle OpenGL settings if using it.
  • Reinstall SolidWorks if issue persists.
  • Contact SolidWorks support if needed.
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How to filter input signal through lognormal shadowing model or kappa mu shadowing model by using a code which generates PDF in Matlab?
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To filter an input signal through a lognormal shadowing model or kappa mu shadowing model and generate a probability density function (PDF) in MATLAB, you can follow these steps:
  1. Generate the input signal that you want to filter.
  2. Define the parameters of the shadowing model that you want to use. For example, for the lognormal shadowing model, you will need to define the mean and variance of the underlying normal distribution. For the kappa mu shadowing model, you will need to define the shape parameter "kappa" and the scale parameter "mu".
  3. Use the built-in MATLAB function for the corresponding shadowing model to generate a shadowing factor sequence that has the same length as the input signal. For example, for the lognormal shadowing model, you can use the "random" function to generate a sequence of random variables from the underlying normal distribution, and then take the exponential of this sequence to get the corresponding shadowing factor sequence.
  4. Filter the input signal by multiplying it element-wise with the shadowing factor sequence.
  5. Generate the PDF of the filtered signal using the built-in MATLAB function "histogram".
Here's an example of how you might use this process for the lognormal shadowing model:
% Generate the input signal
fs = 1000; % sampling frequency
t = 0:1/fs:1-1/fs; % time vector
x = sin(2*pi*100*t) + sin(2*pi*200*t) + sin(2*pi*300*t);
% Define the parameters of the shadowing model
mu = 0; % mean of the underlying normal distribution
sigma = 1; % standard deviation of the underlying normal distribution
% Generate the shadowing factor sequence
shadowing = exp(mu + sigma*randn(size(x)));
% Filter the input signal
y = x .* shadowing;
% Generate the PDF of the filtered signal
nbins = 100;
histogram(y, nbins, 'Normalization', 'pdf');
xlabel('Signal Amplitude');
ylabel('Probability Density');
title('PDF of Filtered Signal');
==================
In this example, the input signal is a sum of three sine waves, and the lognormal shadowing model is used with a mean of 0 and a standard deviation of 1. The "shadowing" sequence is generated by taking the exponential of a sequence of random variables from the underlying normal distribution. The input signal is then filtered by element-wise multiplication with the "shadowing" sequence, and the PDF of the filtered signal is generated using the built-in "histogram" function.
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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.
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Dear Dr. Nandan Bhandari
Early medieval Christian writers in the early Middle Ages felt little urge to assume flatness of the Earth.....
Cf.
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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
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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.
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Dear Meysam Asadi:
At the first, and as you know we can say the following:
-- Solar panel output per m2 (square meter):
The most popular domestic solar panel system is 4 kW. This has 16 panels, with each one:
around 1.6 square meters (m2) in size
rated to produce roughly 265 watts (W) of power (in ideal conditions)
To work out the output per square meter, use this formula:
Number of panels x Capacity of the solar panel system
Capacity ÷ Total size of the system (number of panels x size of one panel)
For Example:
16 panels of 265 W each:
# 16 x 265 = a capacity of 4,240 kW.
# The total size of the system (16 panels of 1.6 m2 each).
# 4,240 ÷ 25.6 = 165 W per m2
-- Factors affecting the solar panel output:
The amount of electricity produced by a solar panel can vary based on these factors:
1- Solar panel efficiency
2- Solar panel size
3- Type of solar panel
4- Capacity
5- Location
6- Solar panel direction
You can benefit from these online calculators:
I hope it will be helpful ...
Best wishes ...
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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
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Can you help with this? as we have discussed earlier. Chuandong Wu
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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?
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Jiri: Archetypes are universal. They are present at all times in all places throughout human history. They occur in literature, in the Bible, etc., in the real world, and in folk tales. They are the eccentrics of Moliere, and other authors. Three cheers for archetype theory.
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Factors to note: roof position; shadow; arrangement of panels; number of panels.
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Il est plus efficace en général quand il est installé avec un micro onduleur mais le projet peut imposer l'utilisation d'un onduleur
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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.
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Einstein: Gravitation is acceleration and geometry, without gravitons.
Ferent: Gravitation is a force mediated by gravitons.
“Black Holes emit Gravitons with negative momentum”
Adrian Ferent
What is a Black Hole?
“Black Hole is Dark Matter that emits Gravitons that change Matter into Dark Matter”
Adrian Ferent
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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.
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Hi Martin, a simple system such as those made for SEM / TEM sample coating might meet your needs. (Have a look for "SEM coater".) You can probably find one at a microscopy department to have a "play" with to see if it does the job.
You might be able to find a second hand one for sale on the internet.
Many use a simple "diode" magnetron, which lacks a magnet, this will actually give you much better target usage, (particularly helpful with expensive materials like gold) but does reduce the sputter rate though this should not be a big issue.
Materials like Ni, Cr and especially Aluminium, can be difficult to start sputtering however as they get a tough oxide coating on the target that is difficult to sputter off, so may need a more complicated system.
You could consider a thermal deposition system which would be very quick and simple. A "bell jar thermal coater". Typically if you used a liquid nitrogen cold trap, to improve the pressure Aluminium etc. will coat very easily and cleanly.
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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.
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Ca Ca
I am google translating your comment here!
Banks are just pawn shops, while financial institutions are credit guarantee applications. However, these are now the product of "Money Appreciation Transactions". When the world trades in currency, a model of value-added transactions has been formed. For the purpose of adding value, there will be many financial products, and various regulations are a way of playing. Currency will be aggregated. Although many financiers, entrepreneurs, and economists will conduct overall management in the process of gathering money, the shortcomings are also very obvious. Benefits are more important than effects. Visionaries are the minority after all. Most go for the value-added part. Self-control has been lost. also fell into it. Under the pyramid model of money, no one is free. All will be affected by currency and become puppets of huge pressure. Therefore, for the sake of oneself and the freedom of everyone, it is necessary to analyze and study the essence of the entire currency system. Find ways to give everyone super freedom. It is not the right to the monetary pipeline that is more fulfilling and status than the kind of material possession we have now.
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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.
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Dear Syed M Raza Shah positive Coefficient 25.56 also implies the same. A decrease (fall) in the independent variable results in a decrease (fall) in the dependent variable. Still, the coefficient is positive since the relationship is positive. A positive relationship means the direction of the two variables is same.
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Dear scholars, can anyone help with the link to download data on shadow economy as well as capital flight.
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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.
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Also, Comsol software can be useful.
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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.
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I do agree with Sagar Maitra.
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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.
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What is the spatial coherence of your white-light source? Is it being focused on to the sample with a high angular diversity (e.g. using a condenser), or is the light simply placed a distance away from the sample? If it's far from the sample (more than ~10 focal lengths?) and isn't being focused or diffused, than only roughly parallel rays are passing through the optical system from the source to the image plane, meaning that the image still has a high degree of spatial coherence.
If that's the case, you probably need to focus or diffuse the light. Ideally the illumination would be coming from the source being placed in a Kohler configuration, or some reasonable approximation of Kohler. If you're already doing that and still getting these artifacts, then maybe it is something to do with multiple reflections (although using a low temporal coherence source would argue against that...). Could you throw the sample on a standard commercial microscope and see if the images look similar? That would at least help you understand if your microscope's design can be improved, or if it's something specific about this sample.
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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!!
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Xanthan gum is a chemical that is utilised in the production of several foods and pharmaceuticals. It has a variety of impacts in these goods, including the ability to enhance thickness, maintain textures from altering, and keep ingredients in place. Xanthan gum can be present in a variety of medications.@It's a thickening that's used in soups, sauces, gravies, drinks, syrups, relishes, and toppings. It's also utilised as a suspending agent in a variety of dishes such sauces, cake mixes, and batter. The concentration of xanthan utilised in most culinary applications is less than 0.5 percent (w/w).
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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?
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I agree with this opinion
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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
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have you tried Ladybug tools for Grasshopper?
please find attached a link to their main page.
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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?
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Here is a document where they show a few variables regarding electronic transactions in Greece. Likewise, I add other documents that will surely be of help. I hope they serve you, best regards.
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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.
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Hi Wilmjakob, I think your interpretation has the right to life – in the end, any digital control can be represented as a trigger. To be precise, I have not met the term “digital trigger” in this context before – it seems this is your term.
If I understand correctly, your goal is to give a general cybernetic scheme of DT in a broad sense (Concept of DT). I agree that the regulator (as in any cybernetic scheme) is determined by the features of the control task. But in the classical control theory, a model (in our case, DT in a narrow sense) is a part of the controller (“a model in the control loop”). The model (namely its structure, detail, accuracy) is also determined by the characteristics of the control task (that is, it is not a comprehensive model of the "whole" original, which is both difficult and unnecessary to build). At the same time in your scheme, DT exists independently, and a regulator is located between it and the original.
I understand and welcome the desire to separate DT. Psychologically, it seems that DT is more than just a model: it is a model that is permanently synchronized with the original, often (although not necessarily) in the form of a machine learning model (which was not previously in classical control schemes); DT may differ from the original (it is also an extension of the classical understanding).
In a word, your attempt (and the whole discussion) it seems to me very timely and productive, but it requires further research.
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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!
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Nicole Belanger It cannot be shadows from the loading dye, it is present in lines without amplified PCR bands only, so it can be a weak primer dimerization.
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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!
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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
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In this case, the maximum temperature should be around 1200 degrees but in TUI, it is said the temperature is limited to 3273 degrees in 3 cells on zone 16114 which is the enclosure basicallly. I have added my residuals after 4500 iterations using the k-epsilon model.
Thank you in advance.
Regards.
Furkan Enes.
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In this problem, I studied the effect of shadow on the electric current produced by solar cells
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Dear @ Said
What is the shadowing pattern? How do you shadow the cells?
If the shadow screens the light form specific region then it will affect all the incident solar radiations.
To troubleshoot this defect, you have to monitor the insolation behind the shadowing. Or you can monitor the current of every cell alone!
Best wishes
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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.
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:
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good podcast, Jed.
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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.
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Thanks all for the recommendations and responses! I was able to rule out fungal contamination by testing the same cell lines with different antibiotics. It looks like it is protein precipitate since I was too aggressive with the antibiotic combinations (fungin, primocin and Pen/Strep). I just added 2x anti/anti this time and cells look great!
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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?
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sure yes
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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?
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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?
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What about the works of and theories of the art group COBRA (Karel Appel, Asger Jorn, Constant)?
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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 ?
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Some time ago I published a paper on the same problem that is also presented in microscopy images and that could give you a better idea of how to solve this problem. The name of the paper is
"Correction of depth intensity attenuation in confocal images of drosophila embryos"
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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
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thank you Yanqiang Chen yes that is the more suitable way to fill the gap
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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.
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Kindly mention which satellite image you're using and method you've adopted to correct image?
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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.
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Good question
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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.
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As far as oil (regardless to its kind, resource, and supply) everything (economically and politically) is possible, globally, regionally and locally.
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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
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what did you mean but large scale fading?
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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?
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Hello;
If you could explain the problem more, it will be much better. However, It is much efficient to use independent features in the classification problem. Try, e.g, to make a set of data and calculate or extract specific features such as PCA or to get some statistical features.etc.
Regards
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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.
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we were using heating mantle and there no organic solvent (only water) used in the activity. OK, i will try to use the fume hood. Thank you for your response.
But, will such headache happening indicate the presence of biologically active compound?
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In which case does one use each of these techniques specifically for?
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Hello Anahita,
Those two methods are quite different.
Rotary shadowing was successfully used for contrast enhancement in electron microscopy of nucleic acids (DNA, RNA, heteroduplexing, etc.). It can also be used for coating samples with conductive layer in scanning electron microscopy. For this method in principal, you need a special (ultra)high vacuum device with rotary stage and evaporator for heavy metals (platinum, platinum/carbon, paltinum:paladium alloy or platinum:iridium alloy).
There is an old book from eighties “Electron Microscopy in Molecular Biology: A Practical Approach (The Practical Approach Series) 1987 by J. Sommerville and U. Scheer (eds).” in which you can find a lot about the application of rotary shadowing.
The negative staining can be used for imaging of bacteriophages, bacteria, bacterial pili and flagella in TEM. I can be used for visualization of membrane vesicles, protein complexes, etc. It is really important method of diagnostic electron microscopy in virology (human, animal, plant). For negative staining you usually need uranyl acetate or uranyl formate or ammonium molybdate salt solutions or phosphotungstic acid solutions. An “UranyLess EM Stains” are also available.
There is a lot in the literature on negative staining, e.g.:
De Carlo, S. & Harris, J. R. (2011), 'Negative staining and cryo-negative staining of macromolecules and viruses for TEM.', Micron (Oxford, England : 1993) 42, 117- 131.
or
Hayat, M. A. (1986), Negative Staining 'Basic Techniques for Transmission Electron Microscopy', Elsevier BV, , pp. 232-264.
Regards
Oldrich
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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.
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@ Vasiliy Knyshev ,
What is your question ?
Kindly state and explain clearly the Newton's Second Law of the third order.
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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/
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Thank you for your response and for your recommandation.
In fact, channel hardening coef ChDk is defined in two ways:
-way 1: according to your book[2] it is defined as: ChDk1=var({norm(h)^2}/{E{norm(h)^2}})
-way 2: according to giovanni's paper [1].ChDk2=1-var({norm(h)^2}/{E{norm(h)^2}})
Theorically I found in Eq 17 and 22 in this paper https://arxiv.org/pdf/1606.02348.pdf
that the variance can't be above 1 because it is inferior to 1/M.
But on simulation I got negative values of ChDk2( because I got some values of var({norm(h)^2}/{E{norm(h)^2}}) which are above 1 ).
**Method followed:
In fact, I got inspired from your figure 2.7 in [2] in alternative 2 mentionned above, I got only positive values of ChDk.
And also I got inspired from figure 7.26 in [2] in alternative 1 mentionned above and I got negative and positive values of ChDk.
and what I changed comparing to your figure 7.26 is that :
-I used three-slope model for path-loss.
-Concerning the distance between the access point and the user is defined in function d = distance_cell_free( AP_pos, L, Dmin ):
I distributed the access points within a square (L=1000m) and I fixed a guard distance Dmin=10m:
******
function d = distance_cell_free( AP_pos, L, Dmin )
% AP_pos is an array of access point position
% it is a matrix of size 2xM, each column is the x and y of the access
% point, 0<= x,y <= L
% L is the size of the square area
% The output d is a vector of distances
N=size(AP_pos,2);
user_pos=[rand*L;rand*L];
user_pos_arr=repmat(user_pos,[1,N]);
d=sqrt(sum((AP_pos-user_pos_arr).^2));
d=max(d,Dmin);
end
***My questions are:
1/Shall we omit the shadowing when dmk<d1 for three-slope model for pathloss, if it is the case why we omit it?
2/The centralized massive MIMO's curve that I obtained is correct.
And the cell-free massive MIMO 's shape of the curve is correct but its curve still contains negative values. According to you what is wrong about what I made ?
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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
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Dear Marie,
Version 5.4 has a new feature to do what you are asking :). If you are in a previous version there are different indirect ways to do that in COMSOL. First one might be to change the options in COMSOL to show material colors. Then you can modify in the materials node how each material looks (main color, reflections, shadows etc., is a t the bottom of the material properties).
If you have the same material applied into different layers but you want different colors in the layers, then you can go to the results node. There you can create a Volume/Surface plot and add a volume/surface with a selection. The selection can be any of your layers/bodies. There rather tan plot any magnitude put a 1 in the field. That creates an homogeneous plot in the selected domain/face. Then you can select "uniform" in the color scheme and select the color you need. Repeat this for as many layers as you need in your model :).
Kind regards,
Julian
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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
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Thank you Ricardo - i will check that
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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.
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I agree that it is about time - which is a reflection of prioritisation - what an organisation values to invest time in. While there is little understanding about the value of reflective praxis, an organisation is unlikely to make time for it. And a couple of the key threats to this way of working being valued is a) it makes the invisibilised and unheard present, which can be threaten peoples' standing in many ways and b) it makes decision making distributed which threatens explicit and tacit power systems and cultures in organisations. So until the practice that requires reflection in action is related to an issue that is compelling enough to the organisation to learn about and support this transformative shift in how change is done, it is unlikley to be invested in. Added to this is that to do it well, we have to learn to learn which requires a formalised learning culture to built into an organisation or discipline - so the preproduction investment is also significnat.