cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A STORM of activity: Super-resolution imaging analysis of activity-dependent synaptic development in the circadian photoentrainment circuit
Creators: name: Fisk, Kyle A
Publisher: name: Digital Repository at the University of Maryland
Year: 2020
Subjects: subject: Neurosciences
subject: FOS: Clinical medicine
subject: Activity-Dependent Synaptic Development
subject: Circadian Rhythms
subject: Melanopsin
subject: STORM
subject: Super Resolution Microscopy

description: Circadian rhythmicity is a subconscious process that controls for many of our daily behaviors such as appetite and sleep. Controlled by the Suprachiasmatic Nucleus (SCN), the circadian rhythm is entrained to environmental light by a unique retinal ganglion cell, the intrinsically photosensitive retinal ganglion cell (ipRGC). Experience-dependent activity has been shown to influence synaptogenesis and refinement of neural circuits. We utilized the ipRGC-SCN circuit to investigate activity-dependent changes in synaptic structure to understand the effect of activity on synaptogenesis throughout early development. We used the super-resolution microscopy technique, STochastic Optical Reconstruction Microscopy to quantify synaptic structural changes. We found reduced synaptic density and volume in activity manipulated animals compared to controls. These findings suggest ipRGC photoactivity is permissive to the proper development and signaling in ipRGC-SCN synapses. The proper activity-dependent maturation of synapses in SCN neurons are crucial to the ability to normally photoentrain and maintain rhythmic bodily functions.
EXPLORING THE TEMPERATURE AND HYDROLOGIC RESPONSE OF TROPICAL OCEANS TO VOLCANIC ERUPTIONS OVER THE LAST 400 YEARS USING CORAL GEOCHEMISTRY
Creators: name: Perez Delgado, Zoraida Paola
Publisher: name: Digital Repository at the University of Maryland
Year: 2020
Subjects: subject: Paleoclimate science
subject: Geochemistry
subject: FOS: Earth and related environmental sciences
subject: climate
subject: corals
subject: paleoclimate
subject: volcanoes

description: Volcanic eruptions perturb the Earth’s climate system. Open questions remain about the response of the hydrologic cycle and internal variability. Coral skeletal strontium to calcium ratios (Sr/Ca) and oxygen isotopic ratios (δ18O) record temperature and seawater oxygen isotopic signatures in the oceans, thus climatic perturbations from eruptions maybe recorded in the coral skeletal chemistry. I quantify the temperature and hydrologic response of the tropical climate system to eruptions since 1640 CE based on coral geochemical records. Data from all basins except the central and eastern Pacific show cooling and increases in seawater δ18O within the first three years of an eruption. Statistical significance of identified signals was tested by comparing against non-eruption sections from the records. Analyses with paired Sr/Ca and δ18O illustrate that the number of observations still limits detection of small signals provided by the eruptions.
Mapping experimental metabolomics data to biological pathways
Creators: name: Willighagen, Egon
name: Kutmon, Martina
Publisher: name: Zenodo
Year: 2016

description: Metabolomics data consists of abundances of one or more metabolites and other small compounds. Sometimes the peaks that result from measurement can be linked to chemical identities; for others there is only a putative assignment and sometimes an assignment to a metabolite class. On the other hand, in biological pathway resources like WikiPathways we also find a mixture of specific metabolites (linoleic acid), compound classes (long chain fatty acid), and even biological roles (ACE inhibitor). As a result, WikiPathways uses identifiers (IDs) from multiple databases, with those from HMDB, KEGG, and ChEBI being most common. The ID mapping framework BridgeDb is used to map between the different ID systems. However, the classical ID mapping databases do not allow ontological classification (linoleic acid is a long chain fatty acid), matching of charge states (acetate matches acetic acid), etc. Here we present the latest advances in mapping metabolite IDs associated with experimental data to metabolite nodes in pathways from WikiPathways, using a combination of BridgeDb, new metabolite ID mapping databases (using HMDB, ChEBI, and Wikidata), and ontological relations extracted from the ChEBI ontology.
IMPACTO DO MICROBIOMA INTESTINAL NA RECUPERAÇÃO PÓS- CIRÚRGICA: O PAPEL DO ENFERMEIRO NA EDUCAÇÃO E MONITORAMENTO NUTRICIONAL
Creators: name: Odeize Viana COSTA
name: Jocirley de OLIVEIRA
name: Renata Soares do NASCIMENTO
name: Savio Alves de ARAÚJO
Publisher: name: Zenodo
Year: 2024
Subjects: Enfermagem
Microbioma intestinal
Recuperação pós-cirúrgica
Educação nutricional

description: RESUMO

O microbioma intestinal desempenha um papel importante na recuperação pós-cirúrgica, influenciando a recuperação do paciente e a resposta inflamatória. Este estudo investiga como o microbioma intestinal afeta a recuperação após cirurgias e o papel do enfermeiro na educação e monitoramento nutricional dos pacientes. Utilizando uma abordagem qualitativa, a pesquisa envolveu revisão de literatura e entrevistas com enfermeiros especializados em cuidados pós-cirúrgicos. Os resultados revelam que a intervenção nutricional personalizada, baseada na modulação do microbioma, melhora significativamente os resultados pós-operatórios. No entanto, desafios incluem a necessidade de formação especializada e a integração de práticas de monitoramento eficazes. Conclui-se que o enfermeiro desempenha um papel essencial na educação dos pacientes sobre a importância da dieta e no monitoramento contínuo para otimizar a recuperação.
Machine learning predictions of COVID-19 second wave end-times in Indian states
Creators: name: Reddy, Anvesh
name: Koganti, Hanesh
name: Krishna, Sai
name: Reddy, Suhas
name: Biswas, Soumyajyoti
Publisher: name: arXiv
Year: 2021
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: The estimate of the remaining time of an ongoing wave of epidemic spreading is a critical issue. Due to the variations of a wide range of parameters in an epidemic, for simple models such as Susceptible-Infected-Removed (SIR) model, it is difficult to estimate such a time scale. On the other hand, multidimensional data with a large set attributes are precisely what one can use in statistical learning algorithms to make predictions. Here we show, how the predictability of the SIR model changes with various parameters using a supervised learning algorithm. We then estimate the condition in which the model gives the least error in predicting the duration of the first wave of the COVID-19 pandemic in different states in India. Finally, we use the SIR model with the above mentioned optimal conditions to generate a training data set and use it in the supervised learning algorithm to estimate the end-time of the ongoing second wave of the pandemic in different states in India.
description: 8 pages, 6 figures, 1 table
MOESM1 of Pretreatment risk management of a novel nomogram model for prediction of thoracoabdominal extrahepatic metastasis in primary hepatic carcinoma
Creators: name: Hu, Jia
name: Wang, Ting
name: Zhang, Kun-He
name: Jiang, Yi-Ping
name: Xu, Song
name: Chen, Si-Hai
name: He, Yu-Ting
name: Yuan, Hai-Liang
name: Wang, Yu-Qi
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology
subject: FOS: Biological sciences

description: Additional file 1: Table S1. Whole demographic and clinical data of all patients; Table S2. Characteristics of tumor and clinical conditions; Table S3. Concentrations and positive rates of four serum tumor markers between metastasis and non-metastasis groups.
Unsupervised classification of SDSS galaxy spectra
Creators: name: Fraix-Burnet, Didier
name: Bouveyron, C.
name: Moultaka, J.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: Defining templates of galaxy spectra is useful to quickly characterise new observations and organise databases from surveys. These templates are usually built from a pre-defined classification based on other criteria. Aims. We present an unsupervised classification of 702248 spectra of galaxies and quasars with redshifts smaller than 0.25 that were retrieved from the Sloan Digital Sky Survey (SDSS) database, release 7. The spectra were first corrected for redshift, then wavelet-filtered to reduce the noise, and finally binned to obtain about 1437 wavelengths per spectrum. The unsupervised clustering algorithm Fisher-EM, relying on a discriminative latent mixture model, was applied on these corrected spectra. The full set and several subsets of 100000 and 300000 spectra were analysed. The optimum number of classes given by a penalised likelihood criterion is 86 classes, of which the 37 most populated gather 99% of the sample. These classes are established from a subset of 302214 spectra. Using several cross-validation techniques we find that this classification agrees with the results obtained on the other subsets with an average misclassification error of about 15%. The large number of very small classes tends to increase this error rate. In this paper, we do an initial quick comparison of our classes with literature templates. This is the first time that an automatic, objective and robust unsupervised classification is established on such a large number of galaxy spectra. The mean spectra of the classes can be used as templates for a large majority of galaxies in our Universe.
Additional file 1: of Factors associated with early introduction of complementary feeding and consumption of non-recommended foods among Dutch infants: the BeeBOFT study
Creators: name: Wang, Lu
name: van Grieken, Amy
name: van der Velde, Laura
name: Vlasblom, Eline
name: Beltman, Maaike
name: LâHoir, Monique
name: Boere-Boonekamp, Magda
name: Raat, Hein
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy

description: Table S1. Questionnaires on infant feeding used in the present study. (DOCX 25 kb)
Fragile Symmetry-Protected Half Metallicity in Two-Dimensional van der Waals Magnets: A Case Study of Monolayer FeCl2
Creators: name: Yao, Qiushi
name: Li, Jiayu
name: Liu, Qihang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Two-dimensional (2D) half-metallic materials are of great interest for their promising applications in spintronics. Although numerous of 2D half-metals have been proposed theoretically, rarely of them can be synthesized experimentally. Here, exemplified by monolayer FeCl2, we show three mechanisms in such quantum magnets that would cause the metal-insulator transition by using first-principles calculations. In particular, half-metallicity, especially that protected by symmetry-induced degeneracies, predicted by the previous theoretical simulations could be destroyed by electron correlation, spin-orbit coupling and further structural distortions to lower the total energy. Our work reveals the fragility of the symmetry-protected half-metals upon various competing energy-lowering mechanisms, which should be taken into account for theoretically predicting and designing quantum mateirals with exotic functionalities.
description: 16 pages, 4 figures
MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles
Creators: name: Yang, Li
name: Moubayed, Abdallah
name: Shami, Abdallah
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cryptography and Security (cs.CR)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences
subject: I.2.6; C.2.0
subject: 68T01

description: Modern vehicles, including connected vehicles and autonomous vehicles, nowadays involve many electronic control units connected through intra-vehicle networks to implement various functionalities and perform actions. Modern vehicles are also connected to external networks through vehicle-to-everything technologies, enabling their communications with other vehicles, infrastructures, and smart devices. However, the improving functionality and connectivity of modern vehicles also increase their vulnerabilities to cyber-attacks targeting both intra-vehicle and external networks due to the large attack surfaces. To secure vehicular networks, many researchers have focused on developing intrusion detection systems (IDSs) that capitalize on machine learning methods to detect malicious cyber-attacks. In this paper, the vulnerabilities of intra-vehicle and external networks are discussed, and a multi-tiered hybrid IDS that incorporates a signature-based IDS and an anomaly-based IDS is proposed to detect both known and unknown attacks on vehicular networks. Experimental results illustrate that the proposed system can detect various types of known attacks with 99.99% accuracy on the CAN-intrusion-dataset representing the intra-vehicle network data and 99.88% accuracy on the CICIDS2017 dataset illustrating the external vehicular network data. For the zero-day attack detection, the proposed system achieves high F1-scores of 0.963 and 0.800 on the above two datasets, respectively. The average processing time of each data packet on a vehicle-level machine is less than 0.6 ms, which shows the feasibility of implementing the proposed system in real-time vehicle systems. This emphasizes the effectiveness and efficiency of the proposed IDS.
description: Accepted and to appear in IEEE Internet of Things Journal; Code is available at Github link: https://github.com/Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Cable stayed bridges : nonlinear elastic dimensional analysis
Creators: name: Janzen, Walter F.
Publisher: name: University of British Columbia
Year: 2010

description: Cable stayed bridges are the state of the art in long span bridges. Developments in cable response analysis and computer hardware and software have allowed engineers to design and build many cable stayed bridges. Bridges of many different configurations with longer and longer spans are being built. With the long spans and high axial loads in the deck, the stability of cable stayed bridges becomes a growing concern. Current analysis procedures use a parabolic approximation to the true catenary response of cables, which is quite accurate for tight cables; however, for near instability conditions with the accompanying large deflections and consequently loose cables, a catenary model is called for. Herein, a study is conducted on the elastic stability of cable stayed bridges utilizing a true catenary model of cable response. A dimensional analysis of cable stayed bridge stability is undertaken as well as deck maximum deflection and moment under service load conditions. A computer program written by this author is the analysis tool used in this work. The program is given the acronym ULA which stands for Ultimate Load Analysis. ULA is a nonlinear plane frame program with catenary cable elements and an interactive graphics interface. The dimensional analysis is carried out by comparing the computer model of a cable stayed bridge to the theoretical model of a beam on an elastic foundation. Two preliminary simplified cable stayed bridge backspan models are studied first in order to develop the dimensionless ratios that are applicable to the bridge response and to gain an insight into the cable stayed bridge behaviour. The final model is that of an entire cable stayed bridge. Because of the multitude of parameters governing cable stayed bridge behaviour it is not possible to describe all cable stayed bridges. Instead, the dimensionless behaviour of a standard model is examined and the sensitivity of this standard to various parameter variations is given in the form of dimensionless charts. Finally, a preliminary design and analysis aid is developed from the dimensionless charts and is then applied to two existing bridge designs.
Effective reduction of PdCoO2 thin films via hydrogenation and sign tunable anomalous Hall effect
Creators: name: Rimal, Gaurab
name: Liu, Yiting
name: Schmidt, Caleb
name: Hijazi, Hussein
name: Skoropata, Elizabeth
name: Lapano, Jason
name: Mukherjee, Debangshu
name: Unocic, Raymond R.
name: Chisholm, Matthew F.
name: Sun, Yifei
name: Yu, Haoming
name: Sun, Cheng-Jun
name: Zhou, Hua
name: Brahlek, Matthew
name: Feldman, Leonard C.
name: Ramanathan, Shriram
name: Oh, Seongshik
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: PdCoO2 , belonging to a family of triangular oxides called delafossite, is one of the most conducting oxides. Its in-plane conductivity is comparable to those of the best metals, and exhibits hydrodynamic electronic transport with extremely long mean free path at cryogenic temperatures. Nonetheless, it is nonmagnetic despite the presence of the cobalt ion. Here, we show that a mild hydrogenation process reduces PdCoO2 thin films to an atomically-mixed alloy of PdCo with strong out-of-plane ferromagnetism and sign-tunable anomalous Hall effect. Considering that many other compounds remain little affected under a similar hydrogenation condition, this discovery may provide a route to creating novel spintronic heterostructures combining strong ferromagnetism, involving oxides and other functional materials.
Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem
Creators: name: Nikfarjam, Adel
name: Bossek, Jakob
name: Neumann, Aneta
name: Neumann, Frank
Publisher: name: arXiv
Year: 2021
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Computing diverse sets of high-quality solutions has gained increasing attention among the evolutionary computation community in recent years. It allows practitioners to choose from a set of high-quality alternatives. In this paper, we employ a population diversity measure, called the high-order entropy measure, in an evolutionary algorithm to compute a diverse set of high-quality solutions for the Traveling Salesperson Problem. In contrast to previous studies, our approach allows diversifying segments of tours containing several edges based on the entropy measure. We examine the resulting evolutionary diversity optimisation approach precisely in terms of the final set of solutions and theoretical properties. Experimental results show significant improvements compared to a recently proposed edge-based diversity optimisation approach when working with a large population of solutions or long segments.
Additional file 1: of Novel lncRNA-IUR suppresses Bcr-Abl-induced tumorigenesis through regulation of STAT5-CD71 pathway
Creators: name: Wang, Xuefei
name: Yang, Jianling
name: Guo, Guijie
name: Feng, Riyue
name: Chen, Ke
name: Liao, Yuan
name: Zhang, Lianfeng
name: Sun, Liping
name: Huang, Shile
name: Chen, Ji-Long
Publisher: name: figshare
Year: 2019
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology
subject: Infectious Diseases
subject: FOS: Health sciences

description: Supplementary materials and methods. (DOCX 19 kb)
Pattern formation of quantum Kelvin-Helmholtz instability in binary superfluids
Creators: name: Kokubo, Haruya
name: Kasamatsu, Kenichi
name: Takeuchi, Hiromitsu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We study theoretically nonlinear dynamics induced by shear-flow instability in segregated two-component Bose-Einstein condensates in terms of the Weber number, defined by extending the past theory on the Kelvin-Helmholtz instability in classical fluids. Numerical simulations of the Gross-Pitaevskii equations demonstrate that dynamics of pattern formation is well characterized by the Weber number $We$, clarifying the microscopic aspects unique to the quantum fluid system. For $We \lesssim 1$, the Kelvin-Helmholtz instability induces flutter-finger patterns of the interface and quantized vortices are generated at the tip of the fingers. The associated nonlinear dynamics exhibits a universal behavior with respect to $We$. When $We \gtrsim 1$ in which the interface thickness is larger than the wavelength of the interface mode, the nonlinear dynamics is effectively initiated by the counter-superflow instability. In a strongly segregated regime and a large relative velocity, the instability causes transient zipper pattern formation instead of generating vortices due to the lack of enough circulation to form a quantized vortex per a finger. While, in a weakly segregating regime and a small relative velocity, the instability leads to sealskin pattern in the overlapping region, in which the frictional relaxation of the superflow cannot be explained only by the homogeneous counter-superflow instability. We discuss the details of the linear and nonlinear characteristics of this dynamical crossover from small to large Weber numbers, where microscopic properties of the interface become important for the large Weber number.
description: 18 pages, 10 figures
Sensitivity analysis of capital projects
Creators: name: Poveda, David
Publisher: name: University of British Columbia
Year: 2010

description: This thesis presents a very generalized model useful in the economic evaluation of capital projects. Net Present Value and the Internal Rate of Return are used as the performance measures. A theoretical framework to perform sensitivity analysis including bivariate analysis and sensitivity to functional forms is presented. During the development of the model, emphasis is given to the financial mechanisms available to fund large capital projects. Also, mathematical functions that can be used to represent cash flow profiles generated in each project phase are introduced. These profiles are applicable to a number of project types including oil and gas, mining, real estate and chemical process projects. Finally, a computer program has been developed which treats most of the theoretical concepts explored in this thesis, and an example of its application is presented. This program constitutes a useful teaching tool.
Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network
Creators: name: Wu, Gaochang
name: Liu, Yebin
name: Fang, Lu
name: Chai, Tianyou
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The light field (LF) reconstruction is mainly confronted with two challenges, large disparity and the non-Lambertian effect. Typical approaches either address the large disparity challenge using depth estimation followed by view synthesis or eschew explicit depth information to enable non-Lambertian rendering, but rarely solve both challenges in a unified framework. In this paper, we revisit the classic LF rendering framework to address both challenges by incorporating it with advanced deep learning techniques. First, we analytically show that the essential issue behind the large disparity and non-Lambertian challenges is the aliasing problem. Classic LF rendering approaches typically mitigate the aliasing with a reconstruction filter in the Fourier domain, which is, however, intractable to implement within a deep learning pipeline. Instead, we introduce an alternative framework to perform anti-aliasing reconstruction in the image domain and analytically show comparable efficacy on the aliasing issue. To explore the full potential, we then embed the anti-aliasing framework into a deep neural network through the design of an integrated architecture and trainable parameters. The network is trained through end-to-end optimization using a peculiar training set, including regular LFs and unstructured LFs. The proposed deep learning pipeline shows a substantial superiority in solving both the large disparity and the non-Lambertian challenges compared with other state-of-the-art approaches. In addition to the view interpolation for an LF, we also show that the proposed pipeline also benefits light field view extrapolation.
description: 15 pages, 12 figures. Accepted by IEEE TPAMI
INTERVENÇÕES DE ENFERMAGEM NA GESTÃO DO ESTRESSE E BURNOUT ENTRE PROFISSIONAIS DE SAÚDE EM CENÁRIOS DE ALTA DEMANDA
Creators: name: Savio Alves de ARAÚJO
name: Jocirley de OLIVEIRA
name: Odeize Viana COSTA
name: Renata Soares do NASCIMENTO
Publisher: name: Zenodo
Year: 2024
Subjects: Estresse
Burnout
Intervenções de Enfermagem
Gestão do Estresse

description: RESUMO

O estresse e o burnout são problemas significativos enfrentados por profissionais de saúde, especialmente em cenários de alta demanda. Este estudo investigou as intervenções de enfermagem para a gestão do estresse e burnout, com foco em estratégias de suporte psicológico e bem-estar. Utilizando uma abordagem mista, foram conduzidas revisões de literatura e entrevistas com 25 enfermeiros atuantes em ambientes de alta pressão. Os resultados mostram que intervenções eficazes incluem programas de suporte psicológico, treinamento em habilidades de manejo do estresse e a promoção de um ambiente de trabalho saudável. Identificou-se a necessidade de políticas institucionais que integrem o bem-estar dos profissionais de saúde como prioridade. Conclui-se que as intervenções de enfermagem desempenham um papel significativo na mitigação do estresse e burnout, promovendo a saúde mental e a qualidade do trabalho.
title: Распространение коронавирусной инфекции как основание ограничения принципа гласности судопроизводства
title: Petrishin A. P. Spread of Coronavirus Disease as Reason for Restriction of Publicity of Judicial Proceedings
Creators: name: Петришин, Алексей Петрович
Publisher: name: Издательский центр СурГУ
Year: 2021

description: В статье рассматривается содержание принципа гласности судопроизводства, его возможные правовые и естественные ограничения. Цель исследования – комплексный анализ норм отечественного законодательства, касающихся возможных ограничений принципа гласности судопроизводства, их правоприменительной практики с учетом сложившейся санитарно-эпидемиологической обстановки; определение проблем и перспектив реализации принципа гласности судопроизводства в рамках цифровизации судебной системы.
Внимание акцентируется на проблемах реализации принципа гласности в условиях распространения коронавирусной инфекции и необходимости подробной регламентации оснований ограничения принципа гласности со стороны высших судебных инстанций.
description: The article investigates the content of the principle of transparency of judicial proceedings, its possible legal and natural restraints. The purpose of the study is a thorough analysis of the norms of Russian legislation and law enforcement practices given the contemporary sanitary and epidemiological situation, as well as identification of problems and prospects of implementation of publicity of judicial proceedings within the framework of digitalization of the judicial system.
The work focuses on the problems of implementing the principle of transparency in the presence of the spread of coronavirus disease and raises the question of the need for comprehensive regulation of the causes for restricting the principle of transparency by higher judicial authorities.
The Third way to 3D Supersymmetric Massive Yang-Mills Theory
Creators: name: Deger, Nihat Sadik
name: Rosseel, Jan
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We construct three-dimensional, $\mathcal{N}=1$ off-shell supersymmetric massive Yang-Mills (YM) theory, whose YM equation is "third way" consistent. This means that the field equations of this model do not come from variation of a local action without additional fields, yet the gauge covariant divergence of the YM equation still vanishes on-shell. To achieve this, we modify the massive Majorana spinor equation so that its supersymmetry variation gives the modified YM equation, whose bosonic part coincides with the third way consistent pure massive YM model.
description: 8 pages
Additional file 1 of Long non-coding RNA CDKN2B-AS1 enhances LPS-induced apoptotic and inflammatory damages in human lung epithelial cells via regulating the miR-140-5p/TGFBR2/Smad3 signal network
Creators: name: Wang, Bing
name: Sun, Qi
name: Ye, Wen
name: Li, Lianghai
name: Jin, Ping
Publisher: name: figshare
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Physiology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 1. The original protein images for western blot assay.
กระบวนการอาโป-เอสเพื่อเพิ่มประสิทธิภาพการทำงานให้บรรลุเป้าหมายองค์กร
Creators: name: ศิริรัตน์ วงศ์ประกรณ์กุล
Publisher: name: Mahidol University
Year: 2019
Subjects: กระบวนการอาโป-เอส
มาตรฐานระบบบริหารงานคุณภาพ ISO 9001 เวอร์ชั่น 2015
การบูรณาการงานคุณภาพกับงานประจำ
การพัฒนาองค์กร
การเพิ่มประสิทธิภาพการทำงาน

description: Mahidol R2R e-Journal, 6, 1, 85-99
Compact pebbles and the evolution of volatiles in the interstellar comet 2I/Borisov
Creators: name: Yang, Bin
name: Li, Aigen
name: Cordiner, Martin A.
name: Chang, Chin-Shin
name: Hainaut, Olivier R.
name: Williams, Jonathan P.
name: Meech, Karen J.
name: Keane, Jacqueline V.
name: Villard, Eric
Publisher: name: arXiv
Year: 2021
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: The interstellar traveler, 2I/Borisov, is the first clearly active extrasolar comet, ever detected in our Solar system. We obtained high-resolution interferometric observations of 2I/Borisov with the Atacama Large Millimeter/submillimeter Array (ALMA), and multi-color optical observations with the Very Large Telescope (VLT) to gain a comprehensive understanding of the dust properties of this comet. We found that the dust coma of 2I/Borisov consists of compact "pebbles" of radii exceeding ~1 mm, suggesting that the dust particles have experienced compaction through mutual impacts during the bouncing collision phase in the protoplanetary disk. We derived a dust mass loss rate of >= 200 kg/s and a dust-to-gas ratio >=3. Our long term monitoring of 2I/Borisov with VLT indicates a steady dust mass loss with no significant dust fragmentation and/or sublimation occurring in the coma. We also detected emissions from carbon monoxide gas (CO) with ALMA and derived the gas production rate of Q(CO) (3.3+/-0.8)x10^{26} mole/s. We found that the CO/H$_2$O mixing ratio of 2I/Borisov changed drastically before and after perihelion, indicating the heterogeneity of the cometary nucleus, with components formed at different locations beyond the volatile snow-line with different chemical abundances. Our observations suggest that 2I/Borisov's home system, much like our own system, experienced efficient radial mixing from the innermost parts of its protoplanetary disk to beyond the frost line of CO.
description: 12 pages, 4 figures
A unified model of solar prominence formation
Creators: name: Huang, C. J.
name: Guo, J. H.
name: Ni, Y. W.
name: Xu, A. A.
name: Chen, P. F.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Several mechanisms have been proposed to account for the formation of solar prominences or filaments, among which direct injection and evaporation-condensation models are the two most popular ones. In the direct injection model, cold plasma is ejected from the chromosphere into the corona along magnetic field lines; In the evaporation-condensation model, the cold chromospheric plasma is heated to over a million degrees and is evaporated into the corona, where the accumulated plasma finally reaches thermal instability or non-equilibrium so as to condensate to cold prominences. In this paper, we try to unify the two mechanisms: The essence of filament formation is the localized heating in the chromosphere. If the heating happens in the lower chromosphere, the enhanced gas pressure pushes the cold plasma in the upper chromosphere to move up to the corona, such a process is manifested as the direct injection model. If the heating happens in the upper chromosphere, the local plasma is heated to million degrees, and is evaporated into the corona. Later, the plasma condensates to form a prominence. Such a process is manifested as the evaporation-condensation model. With radiative hydrodynamic simulations we confirmed that the two widely accepted formation mechanisms of solar prominences can really be unified in such a single framework. A particular case is also found where both injection and evaporation-condensation processes occur together.
description: 10 pages, 4 figures, accepted for publication in ApJ Letters
Mi experiencia docente digital en el canal de YouTube
Creators: name: Vilchez, Vera Ferrón
Publisher: name: Zenodo
Year: 2021
Subjects: Youtube, recursos educativos digitales, vídeos docentes

description: Material de la presentación titulada "Mi experiencia docente digital en el canal de YouTube" en el taller de docencia digital de la Facultad de CC. EE. y Empresariales. Universidad de Granada. 15 de febrero de 20210
Robust building design optimization using the robust optimality criterion
Creators: name: Nikolaidou, Elli
Publisher: name: Loughborough University
Year: 2021
Subjects: subject: 129999 Built Environment and Design not elsewhere classified
subject: FOS: Civil engineering

description: This thesis introduces a robust building design optimization framework for handling building design problems that are exposed to uncertainties. The framework comprises five main steps, which can assist stakeholders in exploring the design space in the light of different sources of uncertainty, and obtaining a solution that performs satisfactorily with respect to the considered objectives and constraints: a) uncertainty quantification; b) exhaustive search; c) building performance simulation (BPS); d) robust optimization; and e) solution analysis. The application of these steps to the design optimization of a real-world building indicates that the framework can assist practitioners in designing buildings that are optimal in the defined objectives and robust to the inherent uncertainties.
Robust optimization is performed with help of a novel robustness indicator, called robust optimality criterion, which ensures the Pareto optimality of solutions under all uncertain conditions. In contrast to existing robustness indicators, the robust optimality criterion offers a control of the degree of robustness, which supports the articulation of the (risk) preferences of the decision-makers during solution analysis.
Additional file 1 of Automated whole-slide images assessment of immune infiltration in resected non-small-cell lung cancer: towards better risk-stratification
Creators: name: Lin, Huan
name: Pan, Xipeng
name: Feng, Zhengyun
name: Yan, Lixu
name: Hua, Junjie
name: Liang, Yanting
name: Han, Chu
name: Xu, Zeyan
name: Wang, Yumeng
name: Wu, Lin
name: Cui, Yanfen
name: Huang, Xiaomei
name: Shi, Zhenwei
name: Chen, Xin
name: Chen, Xiaobo
name: Zhang, Qingling
name: Liang, Changhong
name: Zhao, Ke
name: Li, Zhenhui
name: Liu, Zaiyi
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Hematology

description: Additional file 1: Note S1. Immunohistochemical staining. Table S1. The coding, partial regression coefficient and estimated 5-year baseline cumulative hazard of each prediction model. Figure S1. Comparison of automated and manual counting of positive cells. Figure S2. Determination of an optimal cut-off for CD3-score. Figure S3. Determination of an optimal cut-off for CD8-score. Figure S4. Kaplan-Meier curves of subgroup analyses
Convergence of two-point Padé approximants to piecewise holomorphic functions
Creators: name: Yattselev, M. L.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 42C05, 41A20, 41A21

description: Let $ f_0 $ and $ f_\infty $ be formal power series at the origin and infinity, and $ P_n/Q_n $, with $ \mathrm{deg}(P_n),\mathrm{deg}(Q_n)\leq n $, be a rational function that simultaneously interpolates $ f_0 $ at the origin with order $ n $ and $ f_\infty $ at infinity with order $ n+1 $. When germs $ f_0,f_\infty $ represent multi-valued functions with finitely many branch points, it was shown by Buslaev that there exists a unique compact set $ F $ in the complement of which the approximants converge in capacity to the approximated functions. The set $ F $ might or might not separate the plane. We study uniform convergence of the approximants for the geometrically simplest sets $ F $ that do separate the plane.
Moving solar radio bursts and their association with coronal mass ejections
Creators: name: Morosan, D. E.
name: Kumari, A.
name: Kilpua, E. K. J.
name: Hamini, A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Context: Solar eruptions, such as coronal mass ejections (CMEs), are often accompanied by accelerated electrons that can in turn emit radiation at radio wavelengths. This radiation is observed as solar radio bursts. The main types of bursts associated with CMEs are type II and type IV bursts that can sometimes show movement in the direction of the CME expansion, either radially or laterally. However, the propagation of radio bursts with respect to CMEs has only been studied for individual events. Aims: Here, we perform a statistical study of 64 moving bursts with the aim to determine how often CMEs are accompanied by moving radio bursts. This is done in order to ascertain the usefulness of using radio images in estimating the early CME expansion. Methods: Using radio imaging from the Naçay Radioheliograph (NRH), we constructed a list of moving radio bursts, defined as bursts that move across the plane of sky at a single frequency. We define their association with CMEs and the properties of associated CMEs using white-light coronagraph observations. We also determine their connection to classical type II and type IV radio burst categorisation. Results: We find that just over a quarter of type II and half of type IV bursts that occurred during the NRH observing windows in Solar Cycle 24 are accompanied by moving radio emission. All but one of the moving radio bursts are associated with white--light CMEs and the majority of moving bursts (90%) are associated with wide CMEs (>60 degrees in width). In particular, all but one of the moving bursts corresponding to type IIs are associated with wide CMEs; however, and unexpectedly, the majority of type II moving bursts are associated with slow white-light CMEs (<500 km/s). On the other hand, the majority of moving type IV bursts are associated with fast CMEs (>500 km/s).
description: 5 pages, 2 figures, 1 table
A High-Dynamic-Range Digital RF-Over-Fiber Link for MRI Receive Coils Using Delta-Sigma Modulation
Creators: name: Fan, Mingdong
name: Brown, Robert W.
name: Gao, Xi
name: Mandal, Soumyajit
name: Petropoulos, Labros
name: Yang, Xiaoyu
name: Handa, Shinya
name: Fujita, Hiroyuki
Publisher: name: arXiv
Year: 2021
Subjects: subject: Signal Processing (eess.SP)
subject: Medical Physics (physics.med-ph)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Physical sciences

description: The coaxial cables commonly used to connect RF coil arrays with the control console of an MRI scanner are susceptible to electromagnetic coupling. As the number of RF channel increases, such coupling could result in severe heating and pose a safety concern. Non-conductive transmission solutions based on fiber-optic cables are considered to be one of the alternatives, but are limited by the high dynamic range ($>80$~dB) of typical MRI signals. A new digital fiber-optic transmission system based on delta-sigma modulation (DSM) is developed to address this problem. A DSM-based optical link is prototyped using off-the-shelf components and bench-tested at different signal oversampling rates (OSR). An end-to-end dynamic range (DR) of 81~dB, which is sufficient for typical MRI signals, is obtained over a bandwidth of 200~kHz, which corresponds to $OSR=50$. A fully-integrated custom fourth-order continuous-time DSM (CT-DSM) is designed in 180~nm CMOS technology to enable transmission of full-bandwidth MRI signals (up to 1~MHz) with adequate DR. Initial electrical test results from this custom chip are also presented.
description: Accepted for publication in the Review of Scientific Instruments
How does Truth Evolve into Fake News? An Empirical Study of Fake News Evolution
Creators: name: Guo, Mingfei
name: Chen, Xiuying
name: Li, Juntao
name: Zhao, Dongyan
name: Yan, Rui
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Automatically identifying fake news from the Internet is a challenging problem in deception detection tasks. Online news is modified constantly during its propagation, e.g., malicious users distort the original truth and make up fake news. However, the continuous evolution process would generate unprecedented fake news and cheat the original model. We present the Fake News Evolution (FNE) dataset: a new dataset tracking the fake news evolution process. Our dataset is composed of 950 paired data, each of which consists of articles representing the three significant phases of the evolution process, which are the truth, the fake news, and the evolved fake news. We observe the features during the evolution and they are the disinformation techniques, text similarity, top 10 keywords, classification accuracy, parts of speech, and sentiment properties.
description: 5 pages, 2 figures
Four-terminal quantum dot as an efficient rectifier of heat and charge currents
Creators: name: Wysokiński, Karol Izydor
Publisher: name: Zenodo
Year: 2023

description: Notes related to the article published in PHYSICAL REVIEW B 107, 155409 (2023).

The work reported here has been supported by theM. Curie-Skłodowska University and the National ScienceCenter, Poland (“Weave” programme) through grant No.2022/04/Y/ST3/00061.
Large Deviations in Weakly Interacting Fermions -- Generating Functions as Gaussian Berezin Integrals and Bounds on Large Pfaffians
Creators: name: Aza, N. J. B.
name: Bru, J. -B.
name: Pedra, W. de Siqueira
name: Müssnich, L. C. P. A. M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: 81T08, 82C22, 46L53

description: We prove that the Gärtner--Ellis generating function of probability distributions associated with KMS states of weakly interacting fermions on the lattice can be written as the limit of logarithms of Gaussian Berezin integrals. The covariances of the Gaussian integrals are shown to have a uniform Pfaffian bound and to be summable in general cases of interest, including systems that are not translation invariant. The Berezin integral representation can thus be used to obtain convergent expansions of the generating function in terms of powers of its parameter. The derivation and analysis of the expansions of logarithms of Berezin integrals are the subject of the second part of the present work. Such technical results are also useful, for instance, in the context of quantum information theory, in the computation of relative entropy densities associated with fermionic Gibbs states, and in the theory of quantum normal fluctuations for weakly interacting fermion systems.
description: Reviews in Mathematical Physics, 2021/2022
Electron exchange and polarization effects on electron captures and neutron emissions by nuclei in white dwarfs and neutron stars
Creators: name: Chamel, Nicolas
name: Fantina, Anthea
Publisher: name: arXiv
Year: 2021
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: In dense stellar environments, nuclei may become unstable against electron captures and/or neutron emissions. These processes are of particular importance for determining the internal constitution of white-dwarf cores and neutron-star crusts. In this paper, the role of electron exchange and polarization effects is studied. In particular, the instability condition for the onset of electron captures and neutron emissions is extended so as to account for electron exchange and polarization. Moreover, general analytical expressions for the corresponding density and pressure are derived. The corrections to the electron-capture threshold in white-dwarf cores are found to be very small. Likewise, the neutron-drip density and pressure in the crusts of accreting and nonaccreting neutron stars are only slightly shifted. Depending on the nuclear mass model employed, electron polarization may change the composition of the crust of nonaccreting neutron stars. On the other hand, the current uncertainties in the masses of neutron-rich Kr and Sr isotopes are found to be more important than electron exchange and polarization effects.
description: 15 pages, 4 figures
On Conserved Quantities for the Schwarzschild Black Hole in Teleparallel Gravity
Creators: name: Emtsova, E. D.
name: Krššák, M.
name: Petrov, A. N.
name: Toporensky, A. V.
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We examine various methods of constructing conserved quantities in the Teleparallel Equivalent of General Relativity (TEGR). We demonstrate that in the covariant formulation the preferred method are the Noether charges that are true invariant quantities. The Noether charges depend on the vector field $ξ$ and we consider two different options where $ξ$ is chosen as either a Killing vector or a four-velocity of the observer. We discuss the physical meaning of each choice on the example of the Schwarzschild solution in different frames: static, freely falling Lemaitre frame, and a newly obtained generalised freely falling frame with an arbitrary initial velocity. We also demonstrate how to determine the inertial spin connection for various tetrads used in our calculations, and find a certain ambiguity in the "switching off" gravity method where different tetrads can share the same inertial spin connection.
description: 39 pages