cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Accident Detection and Alert System Using Deep Learning
Creators: name: Radhika Asawa, Vaishnavi Kasat, Wafiya Bahamed, Ms.S.Sandhya Rani
Publisher: name: Zenodo
Year: 2025

description: Road accident is a major concern around the world, causing loss of life and important goods. The need to detect accidents in real time and emergency intervention has become more important than ever. This project isdeveloping an Accident Detection and Alert System using deep learning techniques to improve road safety and reduce response time. Yolov8, an object detection model is used to detect accidents in real time and determine the license plate of the car involved. After the accident is being discovered, PaddleOCR extracts and recognizes the characters and numbers on the plate. The number of licenses is then combined with the database to restore the details of the vehicle owner, allowing automatic emergency alerts on the guardian and the nearest medical response group. The proposed system eliminates the need of manual intervention, ensuring faster support. By utilizing CCTV footage and integrating deep learning techniques, it provides a saclable, cost-effective and automated approach to accident detection and reporting. Experimental results demonstarte that YOLOv8 achieves high accuracy in detecting accidents and extracting license plates, while PaddleOCR esures reliable character recognition across various license plate formats and lighting conditions.
Additional file 10 of Mesenchymal stem cell-derived extracellular vesicles protect retina in a mouse model of retinitis pigmentosa by anti-inflammation through miR-146a-Nr4a3 axis
Creators: name: Zhang, Jia
name: Li, Pengdong
name: Zhao, Guifang
name: He, Siqi
name: Xu, Di
name: Jiang, Weijie
name: Peng, Qian
name: Li, Zhaohui
name: Xie, Zhongjian
name: Zhang, Han
name: Xu, Ying
name: Qi, Ling
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Additional file 10. Fig. S9. Schematic diagram of the hypothetical mechanisms of MSC-EVs treatment. During photoreceptor degeneration or LPS induced injury, inflammatory reaction appears, which induces the upregulation of Nr4a3 that activates NF-κB and its downstream signaling pathway, leading to the upregulation of pro-inflammatory cytokines (IL-1β, TNF-α, IL-6, Areg) and secondary photoreceptor death. As feedback, the inflammatory reaction also upregulates miR-146a to inhibit Nr4a3 induced inflammatory response. However, once used up, the miR-146a could not be supplemented immediately. Treatment with MSC-EVs upregulates the expression of miR-146a, therefore, can inhibit the expression of Nra4a and suppress the inflammatory response to promote the photoreceptor survival.
STUDIES ON A NEW MANPOWER MODEL WITH NONHOMOGENEOUS POISSON RECRUITMENT, PROMOTION AND LEAVING PROCESSES
Creators: name: K. Suryanarayana Rao
name: K. Srinivasa Rao
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: NHP process
two-graded manpower model
duration of stays any grade
performance of the model

description: For proper utilization of manpower in any organization manpower modeling is needed. This paper addresses the two graded manpower model with non-stationary recruitment, promotion and leaving processes. Here it is assumed that the recruitment process in the first grade follows a NHP process which is further assumed that the promotion and leaving processes are also NHP processes. Using the difference-differential equations, the joint p.g.f of the number of employees in the organization at any time ‘t’ is derived. The characteristics of the model such as the average number of employees in each grade, the average waiting time of an employee in each grade, the variance of the number of employees in each grade and the C.V of an employee in each grade are derived explicitly. The sensitivity analysis of the model with respect to the changes in parameter is also studied through numerical illustration. The comparative study between homogeneous Poisson recruitment and NHP recruitment is also discussed. This model also improves some of the earlier models as particular cases.
An End-to-End Earthquake Detection Method for Joint Phase Picking and Association using Deep Learning
Creators: name: Zhu, Weiqiang
name: Tai, Kai Sheng
name: Mousavi, S. Mostafa
name: Bailis, Peter
name: Beroza, Gregory C.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Geophysics (physics.geo-ph)
subject: FOS: Physical sciences

description: Earthquake monitoring by seismic networks typically involves a workflow consisting of phase detection/picking, association, and location tasks. In recent years, the accuracy of these individual stages has been improved through the use of machine learning techniques. In this study, we introduce a new, end-to-end approach that improves overall earthquake detection accuracy by jointly optimizing each stage of the detection pipeline. We propose a neural network architecture for the task of multi-station processing of seismic waveforms recorded over a seismic network. This end-to-end architecture consists of three sub-networks: a backbone network that extracts features from raw waveforms, a phase picking sub-network that picks P- and S-wave arrivals based on these features, and an event detection sub-network that aggregates the features from multiple stations and detects earthquakes. We use these sub-networks in conjunction with a shift-and-stack module based on back-projection that introduces kinematic constraints on arrival times, allowing the model to generalize to different velocity models and to variable station geometry in seismic networks. We evaluate our proposed method on the STanford EArthquake Dataset (STEAD) and on the 2019 Ridgecrest, CA earthquake sequence. The results demonstrate that our end-to-end approach can effectively pick P- and S-wave arrivals and achieve earthquake detection accuracy rivaling that of other state-of-the-art approaches.
Inducing a topological transition in graphene nanoribbons superlattices by external strain
Creators: name: Flores, E.
name: Mella, Jose D.
name: Aparicio, E.
name: Gonzalez, R. I.
name: Parra, C.
name: Bringa, E. M.
name: Munoz, F.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Armchair graphene nanoribbons, when forming a superlattice, can be classified in different topological phases, with or without edge states. By means of tight-binding and classical molecular dynamics (MD) simulations, we studied the electronic and mechanical properties of some of these superlattices. MD shows that fracture in modulated superlattices is brittle, as for unmodulated ribbons, and that occurs at the thinner regions, with staggered superlattices achieving a larger fracture strain. We found a general mechanism to induce a topological transition with strain, related to the electronic properties of each segment of the superlattice, and by studying the sublattice polarization we were able to characterize the transition and the response of these states to the strain. For the cases studied in detail here, the topological transition occurred at $\sim$3-5 \% strain, well below the fracture strain. The topological states of the superlattice -- if present -- are robust to strain even close to fracture. Unlike the zero-energy edge states found in the zig-zag edges of graphene nanoribbons, the superlattice states shows signatures of being particularly insensitive to disorder, even in real space.
Background and Aims
Creators: name: Phillips, Wendy
Publisher: name: OSF Registries
Year: 2020

description: Self-compassion is a positive self-attitude that helps people to manage failure, loss, or adversity. Although self-compassion has been meta-analytically positively associated with many health behaviours (Phillips & Hine, 2019), only one study has examined a bodily routine – “teeth flossing” – and it found a negative association (Friis, Johnson, & Consedine, 2017). This experimental study assessed flossing behaviour following a manipulated flossing failure experience. Further research is needed to replicate this finding, and to determine whether this effect generalises to other bodily routine behaviours.

Self-compassion may theoretically predict more or fewer bodily routines in response to a failure to perform these behaviours effectively. Specifically, self-compassion may prompt individuals to perform self-care tasks to promote physical health as an expression of self-kindness, or it may lead individuals to avoid healthy tasks as an expression of self-kindness because the tasks are unenjoyable (Friis et al., 2017; Mantzios & Egan, 2017). It is also possible that self-compassion may impact these behaviours in different ways for different individuals, which may result in a negligible mean effect. In this case, it is possible that its effects may be moderated or mediated by other factors.

This study is unusual insofar as it is examining potential opposing relationships that may be predicted by the same theory. Specifically, there are competing hypotheses for these relationships that are both supported by theory and/or evidence. We are assessing a potential moderator to determine whether the effect of self-compassion on bodily routines depends on an individual's interpretation of self-compassion.

This study aims to answer four questions:

1. Is trait self-compassion associated with two self-care health behaviours that are classified as “bodily routines” (foot care and dental care)?
2. Does state self-compassion cause individuals to formulate intentions to perform these behaviours more frequently?
3. Does the effect of state self-compassion on dental and foot care intentions vary according to individual interpretations of self-compassion; to be compassionate by performing the tedious behaviour or by avoiding it?
4. Does state self-compassion indirectly effect bodily routines by attentuating negative self-evaluative emotions and increasing self-forgiveness.
Associations between metabolic syndrome components and markers of inflammation in Welsh school children
Creators: name: Thomas, Non Eleri
name: Rowe, David A.
name: Murtagh, Elaine
name: Stephens, Jeffrey W.
name: Williams, Rhys
Publisher: name: University of Limerick
Year: 2024
Subjects: classificationCode: 4207
subject: Sports science and exercise

description: We investigated the multivariate dimensionality and strength of the relationship between metabolic syndrome (MetS) and inflammation in children. Caucasian school children (N = 229; 12–14 years) from Wales were tested on several health indicators including measures of body composition, inflammation, fasting glucose regulation, blood pressure, and lipids. The multivariate association between MetS and inflammation was investigated via canonical correlation analysis. Data were corrected for nonnormality by log transformation, and sex-specific z-scores computed for variables where there was a significant sex difference. Structure r’s were interpreted to determine the dimensions of MetS and inflammation responsible for significant canonical variates. The overall multivariate association between MetS and inflammation was significant (Wilks’ Lambda = 0.54, p < 0.001). The relationship was explained primarily by the waist circumference dimension of MetS (CC = 0.87) and inflammatory markers of fibrinogen (CC = 0.52) and C-reactive protein (CC = 0.50). The pattern of results was similar regardless of whether variables were adjusted for sex differences.Conclusion: Central adiposity is the strongest predictor of the inflammatory aspect of cardiovascular disease risk in Caucasian adolescents. Future research into MetS and cardiometabolic risk should consider multivariate statistical approaches, in order to identify the separate contributions of each dimension in interrelationships and to identify which dimensions are influenced by preventive interventions.
Analysis
Creators: name: Phillips, Wendy
Publisher: name: OSF Registries
Year: 2020

description: SPSS and PROCESS will be used to analyse the data.

1. Bivariate correlations will assess relationships between trait self-compassion and dental care and foot care behaviours at baseline.
2. ANOVA will assess differences in state self-compassion post self-compassion induction as a manipulation check
3. ANCOVAs will assess intentions to change foot care and dental care behaviours in the future, with covariates entered as indicated.
4. Moderation analyses will assess if the effects of self-compassion on intentions to change dental and foot care behaviours vary as a function of interpretations of self-compassion
5. Multiple mediation analyses will assess whether attenuated negative self-evaluative emotions and greater self-forgiveness mediate the effects of self-compassion on dental and foot care change intentions.
Hockey-stick-shaped mesogens based on 1,3,4-thiadiazole: synthesis, mesomorphism, photophysical and DFT studies
Creators: name: Sandip Kumar Saha
name: Jyotirmoy Deb
name: Sarkar, Utpal
name: Paul, Manoj Kumar
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Cell Biology
subject: Neuroscience
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 111714 Mental Health
subject: FOS: Health sciences

description: New hockey-stick-shaped 2,5-diphenyl-1,3,4-thiadiazole-containing mesogens have been designed and synthesised. These molecules possess 4-n-alkoxy chain at the elongated arm whereas and 4-n-butyloxy chain at the shorter arm of the molecule. The compounds are fluorescent and emission located in the violet to blue region with a large stoke shift observed in polar solvents. No substantial solvatochromic effect was found in the absorption maxima, but in the emission, a red shift was observed with increasing the solvent polarity. In the solid thin film, compounds emitted green light. The compounds having longer chain (n > 8) exhibit SmA and SmC phase, while the compounds with shorter chain at one end of the molecule display nematic and SmC phase. The density functional theory study has been carried out to investigate the stable configuration and the influence of solvent on bond length, bond angle, bending angle, dipole moment, polarisability of the molecule. It also enables us to predict the possible reactive sites and effect of solvent on the chemical reactivity descriptors. Our study concludes that the molecule becomes more reactive in solvent compared to gas. The large voltage holding ratio confirms that this molecule may be used for active matrix display applications.
STRIP-PLOT ANALYSIS FOR THE CONSTRUCTION OF COMPLETE TRIPARTITE AND CUBIC GRAPHS
Creators: name: V. Saranya
name: S. Kavitha
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Strip -plot design
complete tripartite graph
cubic graph

description: The Strip-Plot Design (SPD) is plays an important role in the complete block designs and also using the agricultural, medical and industry fields. SPD is best suited for a two-factor experiment that has more treatments than can be accommodated by a complete block design. In a SPD, one factor is assigned to the horizontal strip plot, one factor is assigned to the vertical – strip plot and one factor is interaction plot. Also, few experimental materials may be rare while other test items may be available in altering doses of other therapeutic factors, which may be expensive or time-consuming. One of the main features of SPD involves three types of experimental errors: row strip plot error, coloum – strip plot error and interaction plot error. Experimenting across processing steps is essential for studying the interaction of factors where certain factors come from one step and others arrive from the other. The strip-plot design is a very efficient design for investigating multiple-step processes in terms of both resources and time. Strip-plot designs are economical when the factors are hard to change and the process under research has three discrete stages. When we want to study interactions between factors where some factors are from one step and other factors from another step, it is important to conduct experiments across processing steps. The approach is flexible because it can handle experimental design problems involving factors acting at different levels, unlike the existing method. Graphs are widely used representations of both natural and human-made structures. Graph theory can be used to investigate "things that are connected to other things. “Fits nearly everywhere. Some tough problems become easier to solve when they are represented graphically. We reviewed the agricultural field yield of the strip-plot design and early work on the design of industrial strip-plot design in this paper. We have also described the model of strip-plot design. We, therefore, advise experimenters to ensure that their strip-plot designs contain a sufficient number of rows and columns so that valid statistical inference is possible. A bipartite graph is one in which the edges can be divided into two sets without going into sets. A complete bipartite graph is a bipartite graph that is completed. The complete tripartite graph in which the edges can be divided into three set without going into sets. The cubic graph is a graph in which all vertices have degree three. This paper describes the construction and Statistical Analysis of SPD using some particular types of graphs is discussed through numerical examples.
THE ROLE OF RECORD VALUES IN STATISTICAL INFERENCE: A REVIEW ARTICLE
Creators: name: Alsanea, Mahmoud A. Selim
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: maximum likelihood estimation
maximum likelihood predictor
record values
point prediction
probability distribution
Bayesian estimation
Bayesian prediction

description: The record values data have received the attention of researchers in statistics for over seven decades. Through these decades the records have played a significant and widely utilized role for statistical inference in parameter estimation, predicting future values, hypothesis tests, as well as stress-strength tests, and characterizing distributions. In this paper, the types of record values, some distributional properties, and statistical inferences of record values and their applications are reviewed. The purpose of this paper is to shed light on the role of record values in statistical inference. Therefore, we will examine this issue from two perspectives, the first perspective being estimation and the second perspective being prediction. These are through some of the most important lifetime distributions are Exponential, Weibull, Gumbel, Geometric, Pareto, Generalized exponential, Rayleigh, Lomax, and Nadarajah-Haghighi distributions. I hope that the findings of this paper will be useful for researchers in various fields and lead to further enhancement of research in record values theory and its applications.
THE USE OF EXPERIMENTAL MODELLING IN THE PREDICTION OF PRODUCT RELIABILITY
Creators: name: Breznická, Alena
name: Mikuš, Pavol
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Reliability
Interference theory
Dependability
Load
Strength

description: When designing new systems and components, it is very important to correctly determine the degree and ability of the joint to withstand stress and load. Every new product that is intended for the market must meet the requirements for high safety and reliability during the entire life cycle. The presented article deals with the possibility of modelling the ability to withstand such a load, the principle of the interference method was used in the experimental modelling. The interference theory of reliability is based on the analysis of regularities and properties of two random variables that characterize reliability. Among these elementary properties from the point of view of reliability assessment, we can successfully use dependability and lifetime analysis. It originates from the concept of "safe life", which is deterministic, based on determining and respecting the values of reliability factors. The described approach assumes that a malfunction or a faulty function occurs when the strength limit of the object is exceeded, i.e., ability to withstand stress.
Optical resonances in graded index spheres: A resonant-state expansion study and analytic approximations
Creators: name: Sztranyovszky, Zoltan
name: Langbein, Wolfgang
name: Muljarov, Egor A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Recent improvements in the resonant-state expansion (RSE), focusing on the static mode contribution, have made it possible to treat transverse-magnetic (TM) modes of a spherically symmetric system with the same efficiency as their transverse-electric (TE) counterparts. We demonstrate here that the efficient inclusion of static modes in the RSE results in its quick convergence to the exact solution regardless of the static mode set used. We then apply the RSE to spherically symmetric systems with continuous radial variations of the permittivity. We show that in TM polarization, the spectral transition from whispering gallery to Fabry-Perot modes is characterized by a peak in the mode losses and an additional mode as compared to TE polarization. Both features are explained quantitatively by the Brewster angle of the surface reflection which occurs in this frequency range. Eliminating the discontinuity at the sphere surface by using linear or quadratic profiles of the permittivity modifies this peak and increases the Fabry-Perot mode losses, in qualitative agreement with a reduced surface reflectivity. These profiles also provide a nearly parabolic confinement for the whispering gallery modes, for which an analytical approximation using the Morse potential is presented. Both profiles result in a reduced TE-TM splitting, which is shown to be further suppressed by choosing a profile radially extending the mode fields. Based on the concepts of ray optics, phase analysis of the secular equation, and effective quantum-mechanical potential for a wave equation, we have further developed a number of useful approximations which shed light on the physical phenomena observed in the spectra of graded-index systems.
TRANSIENT AND METAHEURISTIC COST SCRUTINY OF MX / G(A, B) / 1 RETRIAL QUEUE WITH RANDOM FAILURE UNDER EXTENDED BERNOULLI VACATION WITH IMPATIENT CUSTOMERS
Creators: name: R., Rani
name: Indhira, K.
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Batch arrival
Retrial queues
Feedback
Extended Bernoulli Vacation
ANFIS
Cost Optimization

description: The transient and metaheuristic cost analysis of a MX / G(a, b) / 1 retrial queue with random failure during an extended Bernoulli vacation with impatient clients is covered in this study. Any batch that arrives and discovers the server is busy, down, or on vacation joins an orbit. In the alternative, only one new customer from the group joins the service right away, while the others join the orbit. After providing each service, the server either waits to serve the following customer with probability (1 − θ) or goes on vacation with probability θ. It has been found that these systems express steady-state solutions and are dependent on time probability generating functions in consideration of their Laplace transforms. We also discuss a few exceptional and particular instances. After that, the impact of different parameters on the system’s effectiveness is evaluated. We are also talking about ANFIS. Additional approaches employed in this study to swiftly determine the system’s optimum cost include genetic algorithms (GA), artificial bee colonies (ABC), and particle swarm optimization (PSO). We also examined the graph-based convergence of several optimization algorithms.
The Transfer Matrix Method and The Theory of Finite Periodic Systems. From Heterostructures to Superlattices
Creators: name: Pereyra, Pedro
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Long-period systems and superlattices, with additional periodicity, have new effects on the energy spectrum and wave functions. Most approaches adjust theories for infinite systems, which is acceptable for large but not small number of unit cells $n$. In the past 30 years, a theory based entirely on transfer matrices was developed, where the finiteness of $n$ is an essential condition. The theory of finite periodic systems (TFPS) is also valid for any number of propagating modes, and arbitrary potential profiles (or refractive indices). We review this theory, the transfer matrix definition, symmetry properties, group representations, and relations with the scattering amplitudes. We summarize the derivation of multichannel matrix polynomials (which reduce to Chebyshev polynomials in the one-propagating mode limit), the analytical formulas for resonant states, energy eigenvalues, eigenfunctions, parity symmetries, and discrete dispersion relations, for superlattices with different confinement characteristics. After showing the inconsistencies and limitations of hybrid approaches that combine the transfer-matrix method with Floquet's theorem, we review some applications of the TFPS to multichannel negative resistance, ballistic transistors, channel coupling, spintronics, superluminal, and optical antimatter effects. We review two high-resolution experiments using superlattices: tunneling time in photonic band-gap and optical response of blue-emitting diodes, and show extremely accurate theoretical predictions.
description: 57 pages, 33 figures
Additional file 1 of Mesenchymal stem cell-derived extracellular vesicles protect retina in a mouse model of retinitis pigmentosa by anti-inflammation through miR-146a-Nr4a3 axis
Creators: name: Zhang, Jia
name: Li, Pengdong
name: Zhao, Guifang
name: He, Siqi
name: Xu, Di
name: Jiang, Weijie
name: Peng, Qian
name: Li, Zhaohui
name: Xie, Zhongjian
name: Zhang, Han
name: Xu, Ying
name: Qi, Ling
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Additional file 1. Fig. S1. Experimental methods and protocol. (A) Schematic diagram of intravitreal injection of MSC-EVs. (B) Experimental protocol.
USE OF THERMAL IMAGING METHOD OF CONTROL FOR INSPECTION OF BUILDING STRUCTURES FOR TIGHTNESS
Creators: name: Skachkova, Sofia
name: Avgutsevichs, Anton
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: thermal imager
thermal imaging device
reliability of building structures
risk analysis
building collapse
economic costs
inspection of buildings and structures
hidden defects
energy audit
temperature
energy
air leakage

description: In any industry related to the construction of buildings and structures we have heard about the need to assess the technical condition of various objects to assess and analyze the risks associated with the possible collapse of buildings (structures), loss of life and high costs to eliminate these consequences. Since many objects fail over time, and in general to determine the wear and tear and the possible term of further safe operation, it is necessary to conduct a technical survey. The article describes the principle of operation of thermal imaging devices for determining the reliability of building structures in residential premises, and also raises problems, the solution of which can simplify the use of thermal imaging devices in the inspection of buildings and structures and reduce the economic costs of damage compensation in case of timely detection and elimination of any defects.
Holographic approach to transport in dense QCD matter
Creators: name: Hoyos, Carlos
name: Jokela, Niko
name: Järvinen, Matti
name: Subils, Javier G.
name: Tarrio, Javier
name: Vuorinen, Aleksi
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The transport properties of dense QCD matter play a crucial role in the physics of neutron stars and their mergers, but are notoriously difficult to study with traditional quantum field theory tools. Specializing to the case of unpaired quark matter in beta equilibrium, we approach the problem through the machinery of holography, in particular the V-QCD and D3-D7 models, and derive results for the electrical and thermal conductivities and the shear and bulk viscosities. In addition we compare the bulk to shear viscosity ratio to the speed of sound and find that it violates the so-called Buchel bound. Our results differ dramatically from earlier predictions of perturbative QCD, the root causes and implications of which we analyze in detail.
description: 31 pages + appendices, 6 figures
Additional file 3 of Mesenchymal stem cell-derived extracellular vesicles protect retina in a mouse model of retinitis pigmentosa by anti-inflammation through miR-146a-Nr4a3 axis
Creators: name: Zhang, Jia
name: Li, Pengdong
name: Zhao, Guifang
name: He, Siqi
name: Xu, Di
name: Jiang, Weijie
name: Peng, Qian
name: Li, Zhaohui
name: Xie, Zhongjian
name: Zhang, Han
name: Xu, Ying
name: Qi, Ling
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Additional file 3. Fig. S2. Uptake of MSC-EVs over time in mouse retinas. At 3 h (A), 6 h (B), 12 h (C) and 24 h (D) after the injection, the uptake of PKH26-labeled MSC-EVs (red) by retinal cells (DAPI, blue) was observed at the retinal ganglion cell layer. As time progressed, the uptake rate gradually increased. The white arrows point to the exosomes absorbed in the retinal cells indicated by the double labeling of PKH26 and DAPI.
How do individuals cope at work in the context of the Imposter Phenomenon? A thematic analysis study
Creators: name: Atkin, Kate
Publisher: name: Anglia Ruskin Research Online (ARRO)
Year: 2024

description: This study seeks to understand the coping mechanisms that individuals employ to deal with their experience of the Imposter Phenomenon (IP) when at work. IP is an inner sense of being a fraud despite external evidence to the contrary. The study also seeks to understand whether psychological courage plays a role in enabling these individuals to carry out their work when experiencing IP.This study contributes to the body of academic literature as there is a paucity of research into IP in the workplace and coping strategies. In addition, there is limited research on IP and psychological courage. Psychological courage is concerned not with physical risk or standing up for what is right, but with challenges to the very sense of the self. Drawing from the field of positive psychology, it is this challenge to the psyche by adopting a more positive self-view that is of interest to this study and informs the theoretical framework. The results of this study are of interest to both academics and practitioners.Over 100 people completed the Clance Imposter Phenomenon Scale (CIPS), a validated tool for indicating experiences of IP. The study’s criteria, including a CIPS score of more than 61 indicating frequent or intense levels of IP, were met by 42 participants who worked in the finance and insurance sector, 21 of whom took part in an in-depth semi-structured interview. Thematic analysis was used to develop themes from the data.Several themes were generated from the data including maladaptive preparation to prevent being ‘found out’, positive benefits from external support, dismissal of positive feedback and a lack of awareness of psychological courage. Indications are that introducing participants to the concept of psychological courage helps them reframe their actions and re-evaluate the external evidence and positive feedback, enabling them to revise their self-view more positively. Conclusions from the data provide directions for further research, potential practical interventions and implications for policy making for organisations and managers.
Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation
Creators: name: Penny, Stephen G.
name: Smith, Timothy A.
name: Chen, Tse-Chun
name: Platt, Jason A.
name: Lin, Hsin-Yi
name: Goodliff, Michael
name: Abarbanel, Henry D. I.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Dynamical Systems (math.DS)
subject: Optimization and Control (math.OC)
subject: Geophysics (physics.geo-ph)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Data assimilation (DA) is integrated with machine learning in order to perform entirely data-driven online state estimation. To achieve this, recurrent neural networks (RNNs) are implemented as surrogate models to replace key components of the DA cycle in numerical weather prediction (NWP), including the conventional numerical forecast model, the forecast error covariance matrix, and the tangent linear and adjoint models. It is shown how these RNNs can be initialized using DA methods to directly update the hidden/reservoir state with observations of the target system. The results indicate that these techniques can be applied to estimate the state of a system for the repeated initialization of short-term forecasts, even in the absence of a traditional numerical forecast model. Further, it is demonstrated how these integrated RNN-DA methods can scale to higher dimensions by applying domain localization and parallelization, providing a path for practical applications in NWP.
description: 22 pages, 16 figures
Measuring children's long-term relationships with social robots
Creators: name: Westlund, Jacqueline Kory
Publisher: name: figshare
Year: 2017
Subjects: subject: 80602 Computer-Human Interaction
subject: FOS: Psychology
subject: 179999 Psychology and Cognitive Sciences not elsewhere classified
subject: 170109 Personality, Abilities and Assessment

description: Social robots are being increasingly developed for long-term interactions with children. However, there are few validated assessments for measuring young children's relationships with social robots. We provide several social/relational assessments for measuring young children's relationships with social robots.
These assessments were pilot-tested in the spring of 2017. The following paper presents the results of the pilot study for the Inclusion of Other in Self (IOS) task and the Social-Relational Interview with children aged 3-7 years. The results showed that children could appropriately respond to these assessments and that both had high internal reliability. You are free to use or adapt these assessments. If you do, please cite the following paper: Kory Westlund, J. M., Park, H. W., Williams, R., & Breazeal, C. (2017). Measuring Children's Long-term Relationships with Social Robots. Workshop on Perception and Interaction Dynamics in Child-Robot Interaction. [https://sites.google.com/a/mtu.edu/rss2017-rci-perception-and-interaction/home]
A methodological guide to using and reporting on interviews in conservation science research (supplementary material)
Creators: name: Young, Juliette
name: Rose, David
name: Mumby, Hannah
name: Benitez-Capistros, Francisco
name: Derrick, Christina
name: Finch, Tom
name: Garcia, Carolina
name: Home, Chandrima
name: Marwaha, Esha
name: Morgans, Courtney
name: Parkinson, Stephen
name: Shah, Jay
name: Wilson, Kerrie A.
name: Nibedita Mukherjee
Publisher: name: figshare
Year: 2017
Subjects: subject: 50202 Conservation and Biodiversity
subject: FOS: Biological sciences

description: Protocol used as part of the structured review, and results of review, used to assess whether interviews were being used carefully, and reported on clearly, in conservation research papers
Self-Consistent Determination of Long-Range Electrostatics in Neural Network Potentials
Creators: name: Gao, Ang
name: Remsing, Richard C.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Machine learning has the potential to revolutionize the field of molecular simulation through the development of efficient and accurate models of interatomic interactions. In particular, neural network models can describe interactions at the level of accuracy of quantum mechanics-based calculations, but with a fraction of the cost, enabling the simulation of large systems over long timescales with ab initio accuracy. However, implicit in the construction of neural network potentials is an assumption of locality, wherein atomic arrangements on the scale of about a nanometer are used to learn interatomic interactions. Because of this assumption, the resulting neural network models cannot describe long-range interactions that play critical roles in dielectric screening and chemical reactivity. To address this issue, we introduce the self-consistent field neural network (SCFNN) model -- a general approach for learning the long-range response of molecular systems in neural network potentials. The SCFNN model relies on a physically meaningful separation of the interatomic interactions into short- and long-range components, with a separate network to handle each component. We demonstrate the success of the SCFNN approach in modeling the dielectric properties of bulk liquid water, and show that the SCFNN model accurately predicts long-range polarization correlations and the response of water to applied electrostatic fields. Importantly, because of the separation of interactions inherent in our approach, the SCFNN model can be combined with many existing approaches for building neural network potentials. Therefore, we expect the SCFNN model to facilitate the proper description of long-range interactions in a wide-variety of machine learning-based force fields.
description: 9 pages, 4 figures, 1 table
Geometric realization via irrelevant deformations induced by the stress-energy tensor
Creators: name: Ran, Xi-Yang
name: Hao, Feng
name: Yamada, Masatoshi
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this paper, we generalize the deformations driven by the stress-energy tensor $T$ and investigate their relation to the flow equation for the background metric at the classical level. For a deformation operator $\mathcal{O}$ as a polynomial function of the stress-energy tensor, we develop a formalism that relates a deformed action to a flow equation for the metric in arbitrary spacetime dimensions. It is shown that in the $T\bar{T}$ deformation and the $\mathcal{O}(T)=\text{tr}[\textbf{T}]^m$ deformation, the flow equations for the metric allow us to directly obtain exact solutions in closed forms. We also demonstrate the perturbative approach to find the same results. As several applications of the $\mathcal{O}(T)=\text{tr}[\textbf{T}]^m$ deformation, we discuss the relation between the deformations and gravitational models. Besides, we also deform the Lagrangians for scalar field theories.
description: 26 pages, no figure, version published in Phys. Rev. D
ABOUT THE STOCK MARKET, ITS HISTORY AND IMPORTANCE IN THE COUNTRY'S ECONOMY
Creators: name: Isayeva, Nilufar
Publisher: name: Zenodo
Year: 2024

description: This article is about the stock market and the introduction of the article contains a brief history of this market. Also, in the main part of the article, the importance of the stock market in the economy is clearly explained. Currently, securities are one of the most flexible financial instruments. Securities, as an object of civil rights, closely support the development of commodity-money relations and the development of the country's economy. At first, in the conditions of the planned economy, some types of securities were used in property relations (bonds, lottery tickets, bills of exchange in foreign trade). To date, the transition of the economy to the market economy and the formation of the securities market required the restoration of the types of securities and the creation of new types.
Radio Loud vs. Radio Quiet Gamma-ray Bursts: the Role of Binary Progenitors
Creators: name: Lloyd-Ronning, Nicole M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We explore the possibility that radio loud gamma-ray bursts (GRBs) result from the collapse of massive stars in interacting binary systems, while radio quiet GRBs are produced by the collapse of single massive stars. A binary collapsar system can have the necessary angular momentum and energy budget to explain the longer prompt gamma-ray durations and higher isotropic energies seen in the the radio loud sub-sample of long GRBs. Additionally binary systems can lead to rich and extended circumstellar environments that allow for the presence of the long-lived radio afterglows seen in the radio loud systems. Finally, the relative fraction of stars in binary systems versus single star systems appears consistent with the fraction of radio loud versus radio quiet GRBs.
description: 15 pages, 4 Figures; Accepted to ApJ
The Exodus
Creators: name: RODRIGUES, TENSING CARLOS
Publisher: name: figshare
Year: 2017
Subjects: subject: History
subject: Archaeology
subject: Anthropology
subject: FOS: Sociology
subject: Geography
subject: Sociology

description: Drying up of R. Sarasvatī marks a turning point in the history of the ārya; it seems to have triggered a mass exodus from the Sarasvatī valley. The outward movement was in three different directions : to the upper reaches of the R. Sarasvatī, where it still flowed, though as a bunch of small seasonal streams; to the east towards the flood plains of R. Yamunā, which now flowed with greater vigour, and onwards to R. Gangā, and eventually across Vindhya and Narmadā; and, to the south along the coast and by the sea to the further south.
Stiffness of random walks with reflecting boundary conditions
Creators: name: Kaldasch, Sascha
name: Engel, Andreas
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study the distribution of occupation times for a one-dimensional random walk restricted to a finite interval by reflecting boundary conditions. At short times the classical bimodal distribution due to Lévy is reproduced with walkers staying mostly either left or right to the initial point. With increasing time, however, the boundaries suppress large excursions from the starting point, and the distribution becomes unimodal converging to a $δ$-distribution in the long time limit. An approximate spectral analysis of the underlying Fokker-Planck equation yields results in excellent agreement with numerical simulations.
description: 6 pages, 9 figures, references added, small adjustments in the text
Additional file 4 of Mesenchymal stem cell-derived extracellular vesicles protect retina in a mouse model of retinitis pigmentosa by anti-inflammation through miR-146a-Nr4a3 axis
Creators: name: Zhang, Jia
name: Li, Pengdong
name: Zhao, Guifang
name: He, Siqi
name: Xu, Di
name: Jiang, Weijie
name: Peng, Qian
name: Li, Zhaohui
name: Xie, Zhongjian
name: Zhang, Han
name: Xu, Ying
name: Qi, Ling
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Additional file 4. Fig. S3. Uptake of MSC-EVs in retinal glial cells. (A, B) Image of a cryo-sectioned eye cups that were stained with DAPI (blue), showing the distribution of PKH26-labeled EVs (red) with squared area enlarged in B. (C) Images of whole-mount retinas of PKH-26 (red fluorescent marker) at the level of ONL, INL and GCL. The fluorescent marker is seen in all retinal layers. (D, E, F) Images of whole-mount retinas stained for GFAP (D the focus is on the ganglion cell layer), GS (E, the focus is on the INL), and Iba1(F, the focus is on the INL and GCL). The somas of Müller Glia are located in INL and the somas of astrocytes are located in GCL. The morphology and the location of astrocytes and Müller Glia are totally different in retinas, so we can easily distinguish between them by focusing on different layers. White arrows point to the somas of Müller glial cells or microglial cells that co-labeled with PKH26 in D and E respectively. Pink arrows point to somas of astrocyte which didn’t uptake MSC-EVs.
Cosmological implications of generalized holonomy corrections
Creators: name: Renevey, Cyril
name: Martineau, Killian
name: Barrau, Aurélien
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Most of the phenomenology of loop quantum gravity in the cosmological sector is based on the so-called holonomy correction to the Hamiltonian constraint. It straightforwardly modifies the Friedmann equations. In this work, we investigate the influence of corrections generalizing the one usually used in loop quantum cosmology. We find that a long enough inflation phase can be generated by purely quantum geometrical effects but we also underline the limitations of this scenario. In addition, we study the effects of generalized holonomy corrections on an inflationary phase generated by a massive scalar field. At the level of perturbations, we investigate in details the consequences on the primordial scalar power spectrum.
Additional file 5 of Mesenchymal stem cell-derived extracellular vesicles protect retina in a mouse model of retinitis pigmentosa by anti-inflammation through miR-146a-Nr4a3 axis
Creators: name: Zhang, Jia
name: Li, Pengdong
name: Zhao, Guifang
name: He, Siqi
name: Xu, Di
name: Jiang, Weijie
name: Peng, Qian
name: Li, Zhaohui
name: Xie, Zhongjian
name: Zhang, Han
name: Xu, Ying
name: Qi, Ling
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Additional file 5. Fig. S4. Uptake of MSC-EVs in rd10 mouse retinas. Retinal sections stained with DAPI (blue) showed that there were some Dio-488 (green) and PKH26 (red) labeled EVs in MSC-EVs treated rd10 mice (B) but none were observed in NS-treated rd10 retina (A).