Jump - Science topic

I made a series of jump tests in subjects, everything was recorded with Vicon. I have data from markers and force plate. We recorded the tests before and after an intervention.

My question is, I have C3D files with the markers and force plate, I want to mount the files before and after an intervention side by side, and synchronize them, then export this as an video file, it can be in any format.

What would be the easiest software to do this?

Good morning everyone,

I'm conducting some trials with sEMG located on peroneal muscles: subjects are making a drop jump and a re-jump immediately after landing on the same leg.

I haven't got a force plate to detect ground contact or other devices: I can rely only on EMG data.

When can I consider activated and at rest the peroneal mucles during the task?

This is important to me to detect the curve of the muscle activation between subjects in a standard manner.

I was thinking about choosing for example a 10% threshold relative to the Maximun Volontary Contraction.

Do you have some ideas or some research papers with suggestions about this?

Thanks a lot!

I want to conjugate the our lab generated IgG mab to the MAL-di-EG-Val-Cit-PAB-MMAE drug linker through reduced side chain cysteines by TCEP. I have read a lot of papers with different protocols. The drug is costly and we have limited resources That is why I want to make sure before jumping into the experiments. Please also suggest me which experiment to follow to ensure the drug is cross-linked to the mab. I would really appreciated if you help me through. Thank you!

Hello,

I have a group of athletes that performed a countermovement jump over 3 time points.

My data does not meet assumptions of Shapiro-Wilk or Leven's, so I cannot run a parametric mixed ANOVA. So, I need to run a non-parametric test.

However, a test such as Krustal-Wallis compares between-groups but not within-groups.

So, is there a non-parametric test that allows within-group p-values to be generated?

Advice would be very welcome.

Lee

Every so often, someone presents work that is derivative of mine (e.g., Lightspeed Expanding Hyperspherical Universe or LEHU).

That particular hypothesis or postulate is impossible to defend. Richard Feynman proposed the hyperspherical topology in a lecture, but he couldn't defend it because of the problems it creates.

My theory - The Hypergeometrical Universe Theory (HU) solves those problems.

It emboldened many copycats who believed they could jump in the wagon and take part in the HU's model (for example, LEHU) and run.

By the way, I should clarify that LEHU is part of HU's model, not because I was the first to propose it, but because I am the only one who can defend it.

That creates flawed models where the flaws are obvious.

Here, I present a critique of one of these models. Feel free to disagree or agree in the comments.

Depth jump or Drop jump

I would like to share with you the first round of debate on purely terminological issues in a prestigious journal. Although our response constitutes a position, I would like to know the opinion of several specialists.

Best regards to all of you.

Reviewer__

Line 190: You say the Drop Jump was performed "with rebounding." This would be termed a depth jump, not a drop jump (depth jump includes rebound, drop jump does not). Please correct this terminology throughout the manuscript.

Our reply

R/ We thank the author for this excellent commentary. This is a very controversial topic, and in the current literature, there is some divergence regarding these terms (Bobbert et al., 1987a; Smith et al., 2011). This divergence may be associated with the proximity of the DJ acronym for both types of jumps.

For many years, researchers have confused the two exercises, and currently, many textbooks, authors, and coaches use the terms depth jump and drop jump as synonyms (Hamilton, 2009; Suchomel et al., 2016) or to indicate the same exercise with variations in execution (Sheppard, 2014).

To our knowledge, Drop Jump was a term recognized by Komi and Bosco (Komi and Bosco, 1978) where they acknowledge that the exercises previously performed by Asmussen and Bonde-Petersen (Asmussen and Bonde-Petersen, 1974) were Drop Jumps. I quote. "From the upright position on different lifts and then dropping directly onto the force platform with subsequent jumping upward. This condition is called a drop jump." For its part, the Depth Jump presents different objectives and was proposed by Verkhoshansky (Verkhoshansky and Chernousov, 1974; Y.Verkhoshansky, 2006)

Drop jumps are executed from lower heights, striving for a stiff landing, and keeping the leg muscles rigid to minimize leg flexion during landing and ground contact times (Pedley et al., 2017; Ramirez-Campillo et al., 2018). On the other hand, the Depth Jump (as the name suggests) is an exercise that requires a high drop height where the athlete should not land with stiff and extended legs (bounce). On the contrary, the landing must be resilient and elastic, with the optimal depth of knee flexion at the end of the amortization phase to reach a high jump height. In the Depth jump, no rigid restrictions are imposed on the magnitude of leg flexion or ground contact time, although it is recognized that the exercise must be performed quickly (Verkhoshansky and Chernousov, 1974; Y.Verkhoshansky, 2006). Another widely used term is the Depht Drop, but from a semantic point of view, we understand that it does not require jumping after the drop (no jump). A previously published systematic review attempted to explain these differences in Appendix 1 (Montoro-Bombú et al., 2023).

However, these differences in terminology can be found in numerous studies (Bobbert et al., 1987b; Byrne et al., 2010; Wallace et al., 2010; Smith et al., 2011; Pedley et al., 2017), although, authors were clear in their position (Pedley et al., 2017; Montoro-Bombú et al., 2023). We consider that these terminological differences do not directly influence the quality of the results presented in this study. In this regard, we hope that our position could be considered.

If an activation function has a jump discontinuity, then in the training process, can we implement backpropagation to compute the derivatives and update the parameters?

I think this speed is quantified but is it a constant in all the jumps of the electron?

Hi OpenFOAM users! I found that using the actuationDiskSource there is a small jump in the velocity field near the actuator disc cells. I couldnt found a solution on internet. Any help?

The provision of publishing of pre-prints with DOI is nothing but historic, giving whistleblowers the invaluable chance to correct the course of many-a-Titanic-like doomed scientific thrusts.

" Every research question has a different approach. True progress in science requires the ability to grapple with the immeasurable, the daring to view phenomenology differently, to give birth to and maintain a disquieting but penetrating dys-synchrony, to confront and not be overawed by history or consensus, to sustain searing self-criticism, and to carry curiosity and imagination to a defensible and generalizable conclusion." (Gupta, Functional Neurology, 2019)

13 SEP 2023

As we know in the literature that vacuum energy is:

"underlying background energy that exists in space throughout the entire Universe. This behavior is codified in Heisenberg's energy-time uncertainty principle. Still, the exact effect of such fleeting bits of energy is difficult to quantify".

The strange thing about this topic is how the uncertainty principle is the theoretical reason for the existence of this energy!

How can a principle speak about a statistical relationship (related to the matter) lead us to the idea of creation of matter from a vacuum!

We deduce the Heisenberg principle from certain definitions of mathematical operators (about position, momentum, energy ...) to which Schrödinger's equation is added, so does Schrödinger's equation speak of nothing? Or about a particle that has a specific mass?

How can all this ultimately give us something called energy that comes from nothing?

Not to mention that calculating this energy gives us enormous energy beyond perception, as this problem was called the "vacuum catastrophe"!

With God’s help, I wrote a paper that presents a theory about the motion, so in this theory, the motion is a discontinuous motion of particles, and assume that it is a sequence of appearances and disappearances events in space and time.

We deduce that the vacuum energy is just an illusion and that it is, in fact, coming from matter itself through its motion when it disappears and appears (when it did its quantum jump).

The idea is simple when a particle moves from one position to another through disappearance and appearance, it is according to theoretical calculations must be that the velocity of its jump is much greater than the speed of light (but always the apparent velocity or the mean velocity is less than the speed of light), and therefore the particle much precedes the electromagnetic waves that come from it (in the case we were talking about electromagnetic energy) and thus these waves will reach it later, so it will be affected by it as if it comes from the vacuum, but in fact, it comes from itself directly before its jump! this, for example, leads us to the Lamb shift.

For more information please see this paper:

Could you explain the process by which the RMSD result is created, and provide insight into any noticeable jumps or fluctuations in the data? I'm curious about the underlying reasons behind these patterns.

For a Si atom, band gap energy is around 1.1 eV which means that an electron in valence band needs at least this much energy to jump to conduction band. Also, at room temperature, typically energy of about 25 meV is 'readily' available. This implies that at room temperature no electron should make the transition from valence to conduction band. Still experimentally it is found that electron concentration of about 1.5*10^10/cc is present in conduction band of Si at room temperature. How is this possible?

Hello All,

i have the following warning message displayed for an explicit simulation. What could be the reason for this warning?

I am using amplitude to define the displacement of "Welle" in step 2 and then the "Welle" is not moving in step 3.

***WARNING: The option *BOUNDARY,TYPE=DISPLACEMENT has been used with a jump

of 1.80000 at DOF 2 of node WELLE-1.1 at the beginning of step 3.

***NOTE: Displacement boundary conditions with prescribed jumps will be

enforced as defined, minus the value of the jump. The jumps might be

caused by:

1) A discontinuous *BOUNDARY, TYPE=DISPLACEMENT definition.

2) Initial contact adjustments at the beginning of the first

step.

3) Locating the rigid body reference node with the POSITION=CENTER

OF MASS parameter.

4) Use of an amplitude curve to prescribe the boundary conditions

in an analysis with a large number of increments; precision

error may cause a small drift from the prescribed displacement.

while I am doing corrosion tests, a problem occurs. a jumping in current happens.

dose anyone knows, it's a problem of my potentiostat or my electrodes?

the image of corrosion test is attached.

I would appreciate your help.

Most people who were already done working or jumped into the next level of working gave a general checklist of flora-fauna species without on-field photos. Photos make identification easy for newcomers in the research field and they will start working up to the next level instead of a basic level of identification because identification consumes lots of time. What is the point to make taxonomy complex?

The Laplace PDE is defined dU/dt)partial=Nabla^2 U solution has two main approaches, i- FDM approach which transforms the Nabla^2 PDE U=b into a set of n linear algebraic equations Au=u to be solved by Gaussian elimination or any other method.

ii-non-mathematical physical statistical approach which assumes that if the solution U=A^-1 b is already known then A^-1 must be subjected to:

A^-1=D , where the matrix D is defined via D=E-I and the matrix E itself is easy to find via ,E=B^0+B+B ^2.....+B^N . Obviously, matrix B is the well-known statistical transition matrix.

This physical solution applies to Poisson PDE and time-dependent heat PDE with arbitrary initial conditions.

Personally I suppose there is a jump somewhere but how?

I appreciate your comments.

MD simulation of a protein complex with more than 600 AA residues shows an average rmsd between 1-1.5 nm. can the protein complex can be considered stable?

Besides sometimes i see a jump in the RMSD trajectories. Can it be arised due to the failure to centre the protein complex or due to the larger size of the protein.

Learning to read requires children to jump with their eyes from letter to letter and from word to word. I assume that experience with picture books trains children's skills to jump with their eyes over a page. Does anybody know whether there is research about this?

Furthermore, animated picture books induce eye movements through the animations. Thus, children respond to changes in the environment rather than actively steer their saccadic eye movements. Thus, they may be less skillful in controlling their eye movements when learning to read. Again my question: does someone know whether there is empirical research about this?

If there is no research on these two hypotheses: Who would be into running a study together?

Hi there,

I am simulating an all-atom system containing a polymer molecule in water. But after seeing the trajectories, many of the atoms seems to be shifted during the whole trajectory. I have already tried trjconv with centering and no jump options but the problem doesn't resolve. One can still see the large lines in the whole trajectory frame. I have kept the image for reference.

Thanks in advance.

is there any traditional method to check T cell levels or can we isolate T-cells to check Th17 cell levels using specific markers? I am a little stuck here.

Just to clarify I don't want to use the magnetic separation method. I want to Try the traditional method before I jump to that.

Thank you in advance.

Science is considered as separate and unrelated endeavor from language. Yet, its terms and peculiar concepts and even phraces such as "language of science" point to the opposite. Students learn to describe daily experience's in the light of a special language first, then learn the theories and are enable to conduct experiments. Science teaching however prefer a one shot approach instead of a chunking method i. E first year induction on terms and scientific description of familiar experience's i. E "hurry on, you ll miss the boat" becomes "your position Will change if you dont hurry on, and you can not bridge the displacement with your long jumping ability" or "now your position coincides with boat you should board because later it Will acquire speed which now it has not as long as your position coincide" etc. Inertia is another term that students take time to digest with poor results. If induction lessons occured, this problem would be overiden.

I uploaded one of my assignments about the Labour Law of Bangladesh in Research Gate about a month ago. When I see the results, the RI jumped to 2.8 and people are searching for this kind of content on google scholar too as there is no paper regarding it.

Research Field- Labour Act 2006 of Bangladesh

Can you compare two

means from two different studies to generate an effect size differenec?

For example, vertical jump height in study A is 23.1 + 4.4 SD and vertical jump height study b is 32.1 + 4.1 SD.

Using these results, the cohen'a d would be 4.7, which is massive.

But can this be done?

As we have read from many articles that buffer shows acidity jump upon cooling. But how is this acidity jump concentration dependent? Is the lower concentration of buffer showing a higher acidity jump? or the higher concentration?

I used confirmatory factor analysis without using the exploratory factor analysis first. The assumption that supported this was the clear presence of the factors in the literature. Is it correct not to go for the exploratory factor analysis and jump directly to CFA when you have clearly established factors in the literature and theory?

I would like to have any suggestion, recommendation regarding acute and chronic study. in your opinion, if we already have a significant result (exp; Back squat does improve vertical jump) from an acute study, do we still need to proceed for a chronic study as well (exp; the same training back squat goes for an intervention 8weeks,9weeks etc)?? especially for PhD level? thank you so much =)

Hi,

I am simulating a centrifugal compressor using the single passage method in Ansys.

The case file works correctly in Ansys 19, however, when I open the converged case and data file with Ansys 2021 R1 and continue the iteration process, a sudden jump occurs in the residuals and the final results also changes and wrong.

Can anyone help in this regard?

Thanks in advance.

Do the six jump conditions (difference between inner and outer limits of pressure, x-velocity, and v-velocity and these three quantities' normal derivatives) for these two problems change with respect to time, i.e. have a time variable "t"; or do these conditions don't have time variable "t", but still need to be updated when interface changes? The following two membrane problems are found in Sections 10.2.6 and 10.3 in textbook on immersed interface method (IIM), The Immersed Interface Method Numerical Solutions of PDEs Involving Interfaces and Irregular Domains by Zhilin Li.

Hi,

I'm looking to compare different maturity groups in jumin squat jump and countermovement jump height, reactive strength index and leg stiffness. I have 7 groups that I'd like to compare to see if one or more groups are significant different than another, with the aim to identify periods of accelerated adaptation in stretch shortening cycle ability.

I have found a couple of studies that use Hopkins MBI, but multiple papers suggest MBI should not be used or be used with caution.

Thus, I'm thinking of running pairwise comparIain's in ANOVA is this will do what I want to do, statistically compare values based on maturity groups.

What do you think?

Lee

Hello everyone!

I've been struggling to remove the jumps from the trajectory. Here jumps correspond to a lipid/protein crossing the cell edge. The simulations use periodic boundary conditions (PBC), so a molecule exiting the simulation cell from one side enters it from the opposite side. In order to do further analysis I need to remove these jumps and make the trajectory continuous. Does someone have any experience to deal with such issues?

Thanks!

If a hydraulic jump is formed in a rectangular channel/flume , then does the location of the jump depends upon the channel l/flume length or does it depend only upon the upstream and downstream depths of the channel , inlet Froude's no. and bed slope and NOT on the channel length?

I am currently struggling to work out the best test for analysis. I have 16 participants of which I have split into two groups (placebo and treatment). Each participant completes pre supplementation testing where they are tested for sprint speed and jump height. 7 days later after supplementation period they return and carry out the same tests. I want to see if the treatment had any effect, and differences pre and post test. I am really confused whether I need to use independent and dependent t tests or 2x2 anova. Any help would be great

Hi there,

I am trying to build an ARDL model to predict recessions in the US using industry productivity, the difference in yields between 3 month and 10 year treasury bills, unemployment rate and the federal rate. The recession variable is a binary variable with a value of either 0 or 1. Is it correct to just lag the variables and use a probit function to regress recession on these variables or is that not a valid approach? When I do just do that and then try training my model and forecasting periods for which I have data, my model fits too well. It sits at almost 0 for most of the time (well more accurately it sits at numbers such as 5.18e-18) with the occasional one period spike and then jumps to something like 0.9997 when there was a recession.

My code looks like this:

probit rec l(1).rec l(4/6)d.m3 l(4/8)d.unr l(6/12).indprod l(3/5).fedr if tin(1985m1, 2003m1)

predict rec_hat if tin(2003m2, 2020m2)

tsline rec rec_hat if tin(2003m2, 2020m2)

Note the lag periods are not optimised (but I don't want to ask too many questions on one post), but the time plot created is robust to many different specifications.

I know it seems strange to have a model which is too good, but I know there has to be something wrong for it to be forecasting so accurately. In no period should there be 0 chance or 100% chance of recession.

I am simulating a hydraulic jump in a rectangular flume that has an inlet and an tailgate at outlet. I need to adjust the tail gate opening to get the desired hydraulic jump. So i simulated the case for few time steps but now I want to drop the tail-gate further to obstruct the flow.

I have duplicated the geometry,mesh and setup , then i changed the dimension of my tail-gate (there by closing the outlet opening below the tail-gate further) . I have initialised the case with the existing .cdat file from the previous simulation. But the console shows me DIVERGENCE immediately after running the calculations.I even updated the mesh and re-cheked the setup Could help me with this?

Dear R^G Professors, Researchers and Graduate Students:

Will be set up new sound (elastic transversal) [T100] velocity experiments regarding the time symmetry broken-state observed in the elastic constant C₆₆=C_xyxy of Sr₂RuO₄?

I mean sound velocity experiments as accomplished by Prof. Lupien et al. (2001) because there are going strain related experiments, but no sound speed ones. This is not a question on shear related experiments only.

It is a more complicated question on the ---sound transversal elastic velocity ---which is theoretically given by the real part of the polarization operator. Please see the pdf slide attached below. Thanks to all in advance.

Time-reversal symmetry broken states discovered by mean of elastic constants experiments are of tentative relevance.

Hey everyone. First of, I'm sorry if my english is poor in this question, I mostly work in french. Let's jump in the subject. I've been looking for many weeks a relation of charge-elongation of a helicoidal conical spring with a non-conventionnal pitch to predict the pressure exerced on a plate with an assembly of these springs. I looked everywhere for a such as equation, but it's been unsuccessful for the moment. MIT has covered the subject of helicoidal conical springs but with a regular pitch, no clues for the equations of a non-conventional spring. I'm trying to work with Abaqus, from Dassault Systems, to try to make a calculator for a such as spring, but for the moment it's unsuccessful. Does any of you have a idea of how I could find this equation. Some company has said to me that it's possible to find by separating the spring in multiple sections and make equations for all those sections, but they didn't provide any clue of with equation they were refering. I'm starting to run out of research paths to continue my research. Does any of you have an idea.

Thank you all!

DEAR

I want to start my theses & want to know the last research and problems & non solve able methods or problems in hydraulic jumps in culverts or pipes

thanks alot

My energy residuals are increasing rapidly after steadily decreasing for about 40 iterations. Temperatures for convergence criteria jump to 5000 C, way higher than what would make sense. The mesh seems to be fine. I have tried different solution methods, including SIMPLE and Coupled Pseudo-Transient. I have decreased the under-relaxation factor for energy to .4, and I get the same result. Any suggestions?

The current crossing bar clearance technique is "Fosbury flop", which appear in the Olympic game.

Is it possible to find new technologie instead of the Fosbury? What can help us to explore it？Biomechanics theory, Athlete and Coach's experience or others？

I have come across some blog article saying that trampolining can help with proprioceptive input for autistic children who are ever jumping up and down or climbing. The blog post is here: https://themonterabbi.com/benefits-of-trampoline-for-adhd-and-autistic-kids/

I do not know whether someone has done any research on the same to verify the claims.

Hello everyone,

I'm working on a new line of transgenic mice. Since 2 weeks now, when I take the mutant animals in my hands, they have small spasms and make small cries. It does not look like seizures : no jump no tetanic crisis.

I don't know what it can be? if anyone has ever seen this before or has an idea ?

thank you for your help

best

Dear authors,

Im trying to performa a temporal phase analysis of the CMJ as described previously (Power-time, force-time, and velocity-time curve analysis of the countermovement jump: impact of training) However, it is performed in LabView program.

I have tried to perform that analysis using Excel, but I am not able to normalize data and, therefore, compare different jumps expressed as %of jump.

Anyone have an spreadsheet or know to perform this analysis in excel?

Thanks in advance

The motion performed is drop jump into side step cutting motion. I am having difficulty finding equations for calculating moments from 3d markers (data obtained from vicon) and thus having trouble writing a Matlab code.

Any help is extremely appreciated! Thanks!

Being in present state how does an agent finds the next location to read text in the context of Deep reinforcement learning

My solution to the problem in the appendix to the

Hello,

I performed 100ns protein - ligand MD simulation using gromacs. When I calculate the RMSD I see weird jump at 60ns. I used no jump and center to create nopbc.xtc file also used fit + rot options. But still the problem remains. Could any body help to solve the issue.

Thank you,

nitin

Hi everyone,

I am currently trying to get the dose effect curve and combination index for two drugs.

I downloaded Compusyn and was able to entered the data entry without any issue, however, I cannot save the experiment and thus cannot generate report. Every time I tried to save the experiment, there is a window jumped out suggesting " saving experiment failed".

I have tried to google for an answer but doesn't seems like there is any. I am not sure if anyone have the same issue and have any suggestion how to solve it.

Thank you.

We are finishing the experimental design to start a new research and we are in doubt about the best test to evaluate the kinetics of physical performance after a football match. We are evaluating between 10m, 20m, 30m, Vertical jump, Change of Direction (COD) tests.

Hello,

I hope everyone is doing well, I guess my questions come from a complicated dataset (4,000 observations) and for the most part, are qualitative entries. I am planning to convert them into dummy variables but I am not sure what's a good method to follow when conducting a multi-linear regression model. Please feel free to jump in, any direction is appreciated.

What type of metrics are used to measure the risk of a stock jump (jump risk stock)?

I want to have metrics applied in a number of articles?

Hello everyone. How can I calculate jump risk when I have daily prices of stocks (only low frequency data is available)?

I want to perform a technoeconomic feasibility analysis on PV based systems. Most of the publications refer to HOMER. However, I would like to have some background before I jump into the software. Any leads would be appreciated. Thanks

I have a data set where I measured the latency in seconds of birds jumping from a perch to a platform. I repeated these trials for each individual 3 times and have covariates of age, rearing treatment, and height of perch. However, not all the birds jumped and therefore I have latencies of zero. How can I account for these latencies in the model?

Thanks!

i try to build ml-model for oil prediction, what important factors do you recommend to use for predict big price jumps (volatility ) in 2008 and 2011-2012. thanks a lot

I think we were all surprised at the first time we got to know quantum mechanics that the squared modulus of the wave function is the probability density of the existence of the particle?

The role of the complex numbers here is strange, but the question here is:

Is there an idea that is deeper and easier to understand, so that entering the squared modulus of the complex number becomes a mathematical result from this idea only in order to facilitate the calculations?

Do you share with me my astonishment and my question?

God willing, I think we can find something deeper and even simple, actually I put this reason in my paper:

In summary:

The main idea of this paper is that the continuous trajectory of the particle can not exist, so the motion is a sequence of appearances and disappearances events in space and time, so the particle does always jump to move from one position to another.

So when the particle is in position p1 at time t1, where would it be in time t2?

In classical mechanics, the trajectory exists so the least action principle state that:

The path taken by the particle between times t1 and t2 is the one for which the action is stationary.

So what is the situation in quantum mechanics?

fortunately, we have a principle that is very close to the classical principle, but in this case, we didn't have any path, we have potential new positions, so in general, the particle has some preferred destinations based on a new quantum action principle named "alike action principle" that ensures the existence of physical harmony within our universe, like for example preventing the particle from easily reaching forbidden locations (guarded by fields of great forces).

Therefore, in general, this new constraint in motion could be valid at multiple positions at the same time, so in general, we have multiple acceptable positions at time t2.

Thus the probability of existence came up in our description of the movement in the quantum world.

We suppose that we have a preferred value of action that we call h (Plank constant), the new action principle called the "alike action principle" states:

In other words, it is as having the same (or close to each other) remainder after dividing them by h.

For example, if we have two actions (for two paths) to one destination position, the natural function that verifies this principle is:

sin²((π/h)(S1 − S2)).

So after some steps of the calculation, we derive the relation between the probability density of the existence and the squared modulus of the wave function by deriving the path integral formulation of quantum mechanics, for more details please see the paper.

Thanks.

Dear all,

In our project we would like to test different control strategies during drop landing compared to jump landing.

After an intensive search I could not find a public dataset of drop landing or jump landing maneuvers. So, does anybody know a public dataset.

Thanks in advance!

Many people believe that some stretching sports with vertical jump such as basketball and volleyball can increase the body height. On the other hand, others do not agree with this argument.

The problem is that there are many scientific websites that have explained and discussed this issue but as I see, both of them don't refer to any scientific article with specific statistical experiments.

I just found this article that has not a regular scientific content.

I am pleased to answer this question with a scientific article.

I would like to have some support data to explain the importance of addressing accidents due to sudden lane changes or cut-in situations on highway. I wish to find some statistics on such accidents.

I would greatly appreciate it if someone would email me a raw data file of a countermovement jump exported from the Kistler Forceplate System.

My email is rob@innervations.com

Thanks very much.

I was testing soil samples for sporangia of Synchytrium endobioticum and noticed that every once in a while there are these strange 'jumps' in my curves. I repeated the test three times, the sample is from the same test tube, but one of the curves looks weird despite being undeniably positive like the rest. I included two screenshots, one of the target fluorescence signal and one of the respective control where the suspicious curve also shows a bump although a small one.

I'm trying to validate this method and am at a loss as to why this happens or how to prevent it. Has anyone ever seen something like it?

changing the length of hydraulic jump with d/s and u/s water level. collection between drawdown and hydraulic jump in d/s of cross regulators during open gates

it seems and we see most of the celstial bodies in the shape of a spherical shape ,

and also most in rotational axis and orbiting untill is slipped out like asteroids jump out

I currently have the assignment to make a small demo for a specific algorithm, here we want to explain the Kalman Filter in its basic form. Sadly we havent really found any " noob friendly " examples and are trying to just jump ahead in other peoples code and trying to reverse engineer it.

Here in the dlm package on R, we've found the variables GG, FF, c0, CO etc. being used in the dlm function. Altought reading page 7 ( https://cran.r-project.org/web/packages/dlm/dlm.pdf ) these variables arent really explained and i would like to know what these mean. Or are these random variable names to use the algoritm with. This is the first day of the assignment, if anyone has any tips how to approach this or a easy "noob " friendly R language based example please do reffer this to me.

Many thanks!

Has anyone experienced a rise in temperature readings of the thermocouple gauge of the substrate holder when N2 gas is used for venting in a vacuum chamber? I am getting a rise of 10-15 degrees with the conditioned listed below:

1. The heater is not operational and the substrate is cooling down

2. The temperature range for this was between 40-300 degree centigrade

I would really appreciate it if you can share any literature on it.

I try to make a this EDTA saline buffer but pH after being very stable jump high and than goes down when i add NaOH. It can jump to 7 but than i add more it goes to 5. And it keeps stable around 5.50 maybe and after i add many times NaOH it can again jump suddenly but now til 8.3. It is very difficult to get 8.0.

I used 500mM 1 M and 3 M NaOH.

Why Ilya Prigogine talks about self-organization (implying structural change) in dissipative systems using the concepts of bifurcation and attactors (referring to state changes)?

I could never fully aprehend the conceptual jump between changes in state (gradual or sudden) and changes in structure in his writings. And the difference is critical.

The question is directed most likely to a physicist or chemist

i am currently working on a meta-analysis, and i have several studies which has outcomes of effect size and SD for different experiment protocol analysed on the same participant. for example squat jump , yo-yo , counter-movement jump and repeated sprint analysed in the same study on the same participants. how do i include such a study in a meta-analysis, do i need some form of coding?

I want to access runners and will do some force platform jump tests, then a 4min stages lactate threshold test with an immediate vo2 max test after 4mmol is reached. Will vMART still be valid on the same day after a period of rest following the VO2 test? I'm thinking that as long as the rest period is the same for each runner it will still allow me to compare the anaerobic capacity between runners?

Hi there. Operation of a Thermo LCQ Advantage was perfect until turned it to stand-by. Next day, the system was turned on and everything seemed fine. However, TIC signal completely disappeared in the first blank. Came into the LCQ Tune window and yes, the system was reading nothing.

Diagnostics indicated that the Multipole 1 offset was out of control (set at -3 V when actual value as -19 V) as well as Trap DC offset (this latter one scarcely failed, set at -10 V when actual was -10.5). We decided to replace the electron multiplier (the device has 20 years old). Now, Multipole 1 offset is appropriately controlled but Trap DC offset is again scarcely out of range (this has been happening during the las 4 years and we decided not to take it too much seriously).

The problem is that right now, the LCQ is reading ions but masses jump in a 3-4 mass unit range. So, calibration fails since there is no a fixed calibration mass to take as a reference (i.e. MRFA jumps from m/z 522 to 526). Multiplier voltage is nice (-850 V since it is brand new), normal scan fails, zoom scan fails but AGC prescan is OK (but with a high FWHM of 5.5-6). You can also see the typical distribution of calibration masses (caffeine, MRFA and ultramark) but all with wrong masses. We also tried to perform a coarse calibration but the problem is still there, reading of masses is jumping among a 4-6 mass units range. Since we also tune the ring electrode RF and octapole RF voltages, we noticed that the Multipole RF voltage was 2362.5 kHz when it should be in the 2400-2550 range.

We need to know which part of electronics is failing. The biggest and most complex component is the System Control PCB but we would like to be sure that it is the problem before getting a refurbished one.

Of course, Thermo service in Spain said that they couldn´t care about this issue and just said, good luck!!

Many thanks chaps!!

Quique

Zoonotic diseases - which jump from animals to humans - are increasing and will continue to do so without action to protect wildlife and preserve the environment, UN experts have warned.

They blame the rise in diseases such as Covid-19 on high demand for animal protein, unsustainable agricultural practices and climate change.

Neglected zoonotic diseases kill two million people a year, they say.

Covid-19 is set to cost the global economy $9tn (£7.2tn) over two years.

Ebola, West Nile virus and Sars are also all zoonotic diseases: they started in animals, and made the jump to humans.

Report says that the jump is not automatic. It is driven, according to the report by the United Nations Environment Program and the International Livestock Research Institute, by the degradation of our natural environment - for example through land degradation, wildlife exploitation, resource extraction and climate change. This alters the way animals and humans interact.

Source: BBC

I want to examine the relationship of various physical qualities (jump height, change of direction, linear sprint, etc.) on agility performance. Because I am interested in the combined effect of these qualities, I am led to believe that multiple regression is the correct approach to take.

I am also interested in evaluating how the relationships of these physical qualities change across age/maturity (my sample is youth soccer players aged 10-17yrs). For example, linear speed may contribute most at younger ages, but become less important as the athletes get older/more mature.

Would this be entering age/maturity as a covariate, or is there another way to examine this question?

Thanks in advance for any advice/guidance here!

Dear colleagues,

I recently jumped in this field and I was trying to recreate a study, using absolute qPCR quantification for comparison between the abundance of certain bacterial specie in two groups of samples. After optimization of my protocol, I ran 2-step qPCR on 96-well plates with samples in triplicates and I ran the reaction three times in order to get the variance.

I am going for absolute quantification, with a standard curve with Ef ranging from 1,979 to 1,891 (98,95 to 94,5 %) with LunaMix from NEB. However, even though I used the same protocol, my values have a big variance between the plates. I would like to normalize them to use them in the same data set in order to have a more robust analysis. The ratio between the diseased and healthy group (16/8 at each 95well plate) is the same at each plate.

Is there a way to normalize the data in order to use them in one dataset? Also, if you are just looking, it is necessary to have more than 1 reaction apart from technical replicates?

I will much appreciate your help.

Sincerely, Martin

I'm trying to classify multivariate timeseries into four categories. I can't go into detail, because I don't own the data but here's a few facts:

So basically, my data is of the form:

X = array of shape (1000, 20, 140) (n_timeseries, n_sensors, length) y = [0, 0, ..., 1, .., 2, .., 3, ..] of length (1000,)

I'm working in python, pandas, sklearn and keras.

1. Preprocessing:

• Add new variables that are computed from the sensor data, based on domain knowledge:
  • relations: NewVariable = Sensor1/Sensor2
  • linear combinations: NewVariable = a*Sensor1 + Sensor2
  • pairwise derivatives: NewVariable = dSensor1/dSensor2
• Filters: Lowpass, .. ?

2. Feature Based:

• Use the python package tsfresh to extract many (around 5000) features like min, max, power, ... for each variable and for each phase seperately.
• Use sklearn.feature_selection.mutual_info_classif or recursive feature elimination to select the best 100 features.
• Fit a random forest with 150 trees and max. depth 8.

3. Distance Based/K-Means:

• MinMax-Scale the timeseries to have values between 0 and 1.
• Use the package tslearn to compute the Soft-DTW average of all series withing one class for each variable seperately.
• To classify a series t, compute the Soft-DTW distance of t to all four average timeseries (variable-by-variable, then computing the euclidean norm) and choose the closest one.
• Try this using only one phase (or combinations of phases) at a time and choose the best phase.

4. Neural Network Based:

• MinMax-Scale the timeseries to have values between 0 and 1.
• Use the package mcfly to automatically try various shapes of CNNs and DeepConvLSTMs and choose the best one.
• Try this using only one phase (or combinations of phases) at a time and choose the best phase.

5. (so far not tested) A timeseries shapelet based approach.

6. (so far not tested) A hidden markov model based approach.

I'm not completely done evaluating my first tries, but it seems the Random Forest and CNN approaches work slightly better than the K-Means algorithm.

Right now, one of the best methods is just taking the sensor values at decision time (that is the last value from each sensor data timeseries) and feed this to an SVM.

Well, that makes the problem a bit less interesting, but much more easy to tackle ;)

Science moves very rapidly sometimes. Current astrophysics courses are built on the nearly-century-old tradition of interpreting quantum mechanics in terms of probability. However, in 2019 it was demonstrated by Zlatko Minev in an experiment that the evolution of each completed quantum jump - transition of an electron between the ground state and a higher orbital, and vice versa - is continuous and deterministic. [Minev, Z. K.; Mundhada, S. O.; Shankar, S.; Reinhold, P.; Gutiérrez-Jáuregui, R.; Schoelkopf, R. J..; Mirrahimi, M.; Carmichael, H. J.; Devoret, M. H. (June 3, 2019). "To catch and reverse a quantum jump mid-flight". Nature. 570 (7760): 200–204 and https://arxiv.org/abs/1803.00545] According to Wikipedia, "This result calls for a full reassessment of the standard interpretation of Quantum Mechanics, which is built on the assumption that there is no hidden variable".

Many thanks to the authors for confirming my hypothesis of the deterministic nature of quantum mechanics. I've been exploring this idea in published paperbacks since 2006, and on the Internet since 2011 - early articles at

http://vixra.org/author/rodney_bartlett

My most comprehensive article pre-dating the Nature Letter's publication is "Producing Warp Speed Throughout Space-Time By Unifying Gravity With Electromagnetism, Mathematics, Supersymmetry, Matter, Dark Matter, Dark Energy and the Supposedly Unrelated Higgs Boson" (May 4, 2019 - cite

Bartlett, Rodney (2019): Producing Warp Speed Throughout Space-Time By Unifying Gravity With Electromagnetism, Mathematics, Supersymmetry, Matter, Dark Matter, Dark Energy and the Supposedly Unrelated Higgs Boson. figshare. Preprint. https://doi.org/10.6084/m9.figshare.7558358.v2

My article doesn't use equations or jargon but does refer to binary digits as hidden variables, the basics of my vector-tensor-scalar geometry, as well as the topology of Mobius strips and figure-8 Klein bottles (electronically modified to be simply-connected), plus Wick rotation, in the universe's fundamental structure.