cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
DESCONSTRUINDO A CONCEPÇÃO SOBRE OS NATIVOS DIGITAIS: DESAFIOS DO DESENVOLVIMENTO DAS COMPETÊNCIAS DIGITAIS EM ALUNOS DO ENSINO BÁSICO
Creators: name: Cyntia Santiago Anjos Duarte
name: Antonio Paulino de Albuquerque Neto
name: Erica Etelvina Viana de Jesus
Publisher: name: Zenodo
Year: 2024

description: O presente trabalho tem por objetivo provocar a reflexão sobre a importância e desafios envolvidos no desenvolvimento de competências digitais por estudantes do ensino básico no Brasil e como o equívoco no entendimento do termo “nativos digitais” pode atuar como um fator de confusão nesse processo. Para tanto, foi realizado um estudo qualitativo, por meio de uma revisão narrativa da literatura. A análise do material bibliográfico mostrou a persistência de uma falsa ideia de que a geração atual (Millenials e Geração Z) por ser mais exposta as novas tecnologias, conquistaria naturalmente as competências digitais necessárias para um melhor desempenho em seu processo de aprendizado. Entretanto, foi possível identificar que há um grande desafio a ser enfrentado por alunos e professores no aprimoramento de suas habilidades no uso das tecnologias para promoção de um aprendizado significativo em consonância com às demandas da sociedade atual. Para tanto, destaca-se a relevância do papel do professor, na adoção de uma nova postura e adoção de práticas pedagógicas que promovam o uso da tecnologia dentro de um contexto crítico e reflexivo de formação e da adequação da infraestrutura das escolas na promoção da inclusão digital.
title: Das schriftstellerische Wirken Anton Passys zwischen Aufklärung und Romantik
Creators: name: Szekely, Patrick Andre
Year: 2010

description: Die vorliegende Arbeit versteht sich als Beitrag zur historischen Kinder- und Jugendbuchforschung in Österreich. Bislang konnte in der Wissenschaft die Frage, ob die Literatur für Kinder und Jugendliche auf das heutige österreichische Gebiet bezogen im 18. und 19. Jahrhundert als romantisch oder aufklärerisch bezeichnet werden könne, nicht universal beantwortet werden (vgl. Seibert 2004 S. 207 f.). Anhand des schriftstellerischen Schaffens von P. Anton Passy C. Ss.R. (1788-1847), einem Kinder- und Jugendbuchautor aus dem Kreis des heiligen Klemens Maria Hofbauer, wird ein Teilergebnis zur Beantwortung der Frage geliefert. Die Arbeit zeigt, wie der Dichter auf die kumulierenden Geistesströmungen des 18. und 19. Jahrhunderts reagierte und welchen Platz Anton Passy in der literarischen Welt des Vormärz einnimmt. Zunächst findet die Biographie des weitgehend unbekannten Autors Beachtung, um danach den Fokus auf das schriftstellerische Selbstverständnis Passys zu lenken, das in einem allgemeinen Werküberblick nochmals manifest wird. In weiterer Folge werden soziale und historische Überlegungen zum Schreibprozess angestellt. Auf Basis dieser Überlegungen wird weiters gezeigt, wie der Autor politische und soziale Probleme seiner Zeit wahrnahm und in geistesgeschichtlichen Fragen Stellung bezog. Besonders das Kindheitsbild Passys und seine pädagogischen Ausführungen werden in diesem Zusammenhang einer genauen Analyse unterzogen. Abgerundet wird die Arbeit durch die Gegenüberstellung einer jugendliterarischen Erzählung Passys mit dem jugendliterarischen Werk eines namhaften Aufklärers. Darin werden die aus den vorigen Kapiteln gewonnen Ergebnisse nochmals manifest. Aufgrund dieser literarhistorischen Forschungsarbeit konnte für den Autor Anton Passy festgestellt werden, dass seine Werke weder als aufklärerisch noch als romantisch bezeichnet werden können, sondern sich am ehesten unter dem von Ernst Seibert geprägten Begriff des „neukatholischen Jugendschrifttums“ (vgl.. Seibert 2002 S. 268) einordnen lassen.
Additional file 4 of “Are we working (too) comfortably?”: a focus group study to understand sedentary behaviour when working at home and identify intervention strategies
Creators: name: Morton, Sarah
name: Fitzsimons, Claire
name: Sivaramakrishnan, Divya
name: Jepson, Ruth
name: Niven, Ailsa
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 4
Efficient and scalable atmospheric dynamics simulations using non-conforming meshes
Creators: name: Orlando, Giuseppe
name: Benacchio, Tommaso
name: Bonaventura, Luca
Publisher: name: arXiv
Year: 2024
Subjects: subject: Numerical Analysis (math.NA)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Performance (cs.PF)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: We present the massively parallel performance of a $h$-adaptive solver for atmosphere dynamics that allows for non-conforming mesh refinement. The numerical method is based on a Discontinuous Galerkin (DG) spatial discretization, highly scalable thanks to its data locality properties, and on a second order Implicit-Explicit Runge-Kutta (IMEX-RK) method for time discretization, particularly well suited for low Mach number flows. Simulations with non-conforming meshes for flows over orography can increase the accuracy of the local flow description without affecting the larger scales, which can be solved on coarser meshes. We show that the local refining procedure has no significant impact on the parallel performance and, therefore, both efficiency and scalability can be achieved in this framework.
description: arXiv admin note: text overlap with arXiv:2402.07759
More From the Sunset: Lars von Trier and "Bipolar Cinema"
Creators: Warrick, Alexandra Grace
Publisher: name: Columbia University
Year: 2016
Subjects: Manic-depressive illness
Film criticism
Motion pictures

description: The acts of profane illogic, the breaks from reality, the rapid-cycling mood swings, the high heights and then the dead-eyed anhedonia – these qualities apply to Lars Von Trier’s woeful leading ladies and to the style and rhythm of the films themselves, making his oeuvre a solid starting point for the development of a conception of “bipolar cinema,” a concept coined by David Coleman in his book “The Bipolar Express: Manic Depression and the Movies.” Coleman articulates “bipolar cinema” as a three-pronged umbrella concept – there are films that center on bipolar disorder, films created by those with bipolar disorder and films that evoke the qualities of manic-depressive episodes in their narrative strategies. Von Trier squarely belongs in the third category, offering a nuanced and clear-eyed visual representation of the experience of the condition’s manic upswings and depressive lows. Due to this expressionistic approach, Von Trier not only offers fully realized heroines with complex psychological profiles but also allows the audience to embark on their emotional journey on an intimate level through his moving storytelling. Von Trier expresses his themes not only explicitly in his screenplays but also through the use of such tools as visual metaphor, recurring motifs, thoughtful camerawork and overall evocative mise-en-scene. His films, with these hyper-connections and frequent tonal shifts, themselves operate like the bipolar mind.
ESSAYS IN HEALTH AND NATURAL RESOURCE ECONOMICS
Creators: name: Kumar, Ashutosh
Publisher: name: Washington State University
Year: 2023

description: This dissertation has three chapters. First two chapters discuss healthcare access and its impact on homeless and low-income communities in the United States and last chapter sheds light on dynamic allocation of water in changing demand and supply. The first chapter, “Moving to Better Healthcare? Estimating the Impact of Medicaid Expansion on Homelessness”, investigates the impact of Medicaid Expansion on where single homeless individuals are located. Medicaid expansion in 2014 was instrumental in providing healthcare to homeless population. Using both the state and contiguous border county data of homeless counts, significant evidence in support of expansion-induced migration of single homeless adults from non-expansion to expansion states is found. Specifically, the estimates suggest that the expansion states have experienced about 10% increase in number of single homeless individuals during post-expansion period when compared to non-expansion states.In the second chapter, “Healthcare Access and Expenditure: Estimating the Impact of Medicaid Expansion at Household-Level”, the impact of Medicaid Expansion on financial well-being and healthcare access of households is explored using individual-level panel data. Considering low education as proxy for low-income, the expansion impact on non-college educated individuals, including adults with and without dependent children, is estimated. The results suggest that the expansion led to significant increase in coverage by 3-7 percentage points and reduced healthcare expenditures by 40-50%, with pronounced effect among childless adults.
description: Third chapter, “Modeling Water Allocation in Food, Energy and Water (FEW) Context in the Yakima Basin”, simulates and measures the allocation and value of water across three sectors in a Food-Energy-Water (FEW) context. Using Yakima, Washington as a small model economy, partial equilibrium model is integrated with system dynamics to model water allocation in dynamic setting across competing sectors. The results describe equilibrium changes in water prices when supply is reduced in each sector under various scenarios. Specifically, it is found that the food and energy sector are more sensitive to water allocation, where supply reduction by 25% would lead to price increase by 15% in food sector and 17% in energy sector, respectively.
Quantifying the Effectiveness of Student Organization Activities using Natural Language Processing
Creators: name: Taruc, Lyberius Ennio F.
name: De La Cruz, Arvin R.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Emerging Technologies (cs.ET)
subject: FOS: Computer and information sciences

description: Student extracurricular activities play an important role in enriching the students' educational experiences. With the increasing popularity of Machine Learning and Natural Language Processing, it becomes a logical step that incorporating ML-NLP in improving extracurricular activities is a potential focus of study in Artificial Intelligence (AI). This research study aims to develop a machine learning workflow that will quantify the effectiveness of student-organized activities based on student emotional responses using sentiment analysis. The study uses the Bidirectional Encoder Representations from Transformers (BERT) Large Language Model (LLM) called via the pysentimiento toolkit, as a Transformer pipeline in Hugging Face. A sample data set from Organization C, a Recognized Student Organization (RSO) of a higher educational institute in the Philippines, College X, was used to develop the workflow. The workflow consisted of data preprocessing, key feature selection, LLM feature processing, and score aggregation, resulting in an Event Score for each data set. The results show that the BERT LLM can also be used effectively in analyzing sentiment beyond product reviews and post comments. For the student affairs offices of educational institutions, this study can provide a practical example of how NLP can be applied to real-world scenarios, showcasing the potential impact of data-driven decision making.
description: 11 pages, 4 figures, presented in International Conference on Generative Al and its Applications (ICGAIA-24) last 22nd - 23rd, July, 2024 at Jakarta, Indonesia
MAXIMIZING POTATO QUALITY AND MARKETABLE YIELD OF FIVE CULTIVARS BY ASSESSING EVAPOTRANSPIRATION, REFINING CROP COEFFICIENTS, AND REDUCING LATE-SEASON IRRIGATION
Creators: name: Gonzalez Tapia, Francisco
Publisher: name: Washington State University
Year: 2022
Subjects: Crop Coefficients
Deficit Irrigation
Evapotranspiration
Fry Color
Tuber Quality
Agriculture engineering
Potatoes

description: This study was conducted to determine whether reduced late-season irrigation improves tuber quality while maintaining yield and to investigate evapotranspiration (ETc) differences and develop crop coefficient (Kc) values of five potato cultivars: Alturas, Clearwater Russet (R.), Ranger R., R. Burbank, and Umatilla R., The effects of reduced late-season irrigation and evapotranspiration measurements were investigated from 2018 to 2020 at the WSU-Othello research farm under over-head irrigation. Based on modeled evapotranspiration (ET) recommendations, different irrigation levels (ILs), 40%, 60%, 80%, 100%, and 120% ET, were implemented at approximately 1500 day-degrees, between 95 and 110 days after planting. This timing was chosen to investigate if irrigation could be reduced below ET once the canopy and roots had reached their developmental peak. ETc was measured using a combination of environmental and soil sensors and the soil water balance method. Reducing irrigation below 100% ET during the latter half of the season significantly reduced the total yield of all cultivars. Grower return was maximized for four cultivars when soil moisture was replaced at 100% ET; however, grower return for Alturas peaked at 80% ET. A significant positive linear relationship was found between the ILs and growth crack incidence in Alturas. For all cultivars, a significant negative relationship was found between the ILs and tuber specific gravity. Tuber fry color improved when late-season irrigation was reduced on all cultivars except for Ranger R., enabling tubers to be stored at colder temperatures; this is highly desired by the frozen-processing industry. Lastly, season-long crop evapotranspiration (ETc) significantly differed among the five potato cultivars, with Alturas and Clearwater R. producing the highest evapotranspiration rates during the mid-season. Furthermore, using the five cultivars’ ETc measurements, Kc values were developed, with average Kc values of 0.4, 0.95, and 0.57 for initial, mid-season, and late-season stages, respectively. These findings provide growers with storage and production options and incentives to reduce water consumption while maximizing profits from higher-quality tubers.
ЗАМОНАВИЙ ШАРОИТЛАРДА ФАВҚУЛОДДА ВАЗИЯТЛАРДА БОШҚАРИШ ВА РЕЖАЛАШТИРИШ ТАМОЙИЛЛАРИ ВА УСУЛЛАРИ
Creators: name: Азиза Мурод Қизи Яхёхўжаева
name: Нафиса Саидолимовна Саидҳўжаева
Publisher: name: Academic research in educational sciences
Year: 2022
Subjects: принцип(тамойил)
фавқулодда вазият
тезкорлик
таъминланганлик
комплекс(бутланган)лилик
илмийлик
директивлик
яъни буйруқ ва қарорларни сўзсиз бажаришлик
муддат ва манзилнинг аниқлиги
printsip
emergency
urgency
security
centralization of leadership
efficiency
directivity
targeting
complexity
scientific

description: Фавқулодда ҳолатлар юзага келганда, вазиятни тўғри баҳолаш, бажарилиши лозим бўлган ишларни режалаштириш ва уларни бошқариш муҳим аҳамиятга ега. Фавқулодда вазиятлар юзага келганда бажариладиган ишларни режалаштириш ва амалга оширишда асосий принцип(тамоил)лар услубиёт жиҳатидан жуда муҳим ўрин тутади. Ушбу мақолада бу масалаларга амалий жиҳатдан услубий ёндашув илмий асосланган, қарорларни янада оқилона ва ишончли қабул қилиш ва ортиқча вақтни бой бермасдан, уларни амалга ошириш имкониятларининг самарадорлиги кўрсатиб берилган
description: In the event of an emergency, it is important to properly assess the situation, plan the work that needs to be done, and manage it. The basic principles play a very important role in the planning and execution of the work that needs to be done in case of emergencies in terms of methodologies. This article scientifically substantiates the methodological approach to these issues from a practical point of view, shows the effectiveness of the possibility of making the most reasonable and reliable decisions without wasting time.
Collisional corrections to spin polarization from quantum kinetic theory using Chapman-Enskog expansion
Creators: name: Fang, Shuo
name: Pu, Shi
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We have investigated the collisional corrections to the spin polarization pseudo-vector, $δ\mathcal{P}^μ$, using quantum kinetic theory in Chapman-Enskog expansion. We derive the spin Boltzmann equation incorporating Møller scattering process. We further consider two distinct scenarios using hard thermal loop approximations for simplification. In scenario (I), the vector charge distribution function is treated as off-equilibrium under the validity domain of gradient expansion. Remarkably, the polarization induced by gradients of thermal chemical potential and shear viscous tensors are modified, but $δ\mathcal{P}_{\textrm{ }}^μ$ in this scenario does not depend on the coupling constant. In scenario (II), the vector charge distribution function is assumed to be in local thermal equilibrium. Then collisional corrections $δ\mathcal{P}_{\textrm{ }}^μ$ in this scenario are at $\mathcal{O}(\hbar^{2}\partial^{2})$. Additionally, we evaluate the $δ\mathcal{P}^μ$ using relaxation time approach for comparative analysis. Our results establish the theoretical framework necessary for the future numerical investigations on the interaction corrections to spin polarization.
description: 32 pages, 1 figure; version accepted for publication of PRD
O ASSÉDIO MORAL/SEXUAL ENFRENTADO PELA POLICIAL FEMININA FRENTE AOS AVANÇOS DA MULHER NO MERCADO DE TRABALHO
Creators: name: RCMOS, Revista Científica Multidisciplinar o Saber
Publisher: name: figshare
Year: 2022
Subjects: subject: 220104 Human Rights and Justice Issues
subject: FOS: Philosophy, ethics and religion

description: Apresenta a temática do assédio moral/sexual vivenciado pelas policiais femininas, contrapondo a questão em meio a crescente presença feminina no mercado de trabalho. Para delimitar o contexto de estudo, observou-se o seguinte objetivo geral: dialogar sobre a posição da mulher no serviço das polícias civil e militar, estabelecendo um parâmetro comparativo entre os avanços do sexo feminino no mercado de trabalho e o assédio moral sofrido pelas policiais femininas. E, junto ao objetivo geral, os seguintes objetivos específicos: apresentar o contexto de avanço da mulher no mercado de trabalho; descrever os parâmetros do serviço militar para mulheres na polícia e; compreender os cenários de assédio moral para com as policiais femininas. A metodologia de pesquisa compreendeu as diretrizes da pesquisa bibliográfica e os parâmetros analíticos da pesquisa qualitativa. Sobre os resultados observou-se que a literatura científica a respeito do tema segue em construção, contudo, é possível identificar contextos em que a figura da mulher frente aos abusos cometidos dentro e fora das forças armadas tem sido matéria de discussão em diferentes contextos, incluindo a proposta de mudanças quanto aos mecanismos punitivos aos agressores.
Improving effort-aware just-in-time defect prediction with weighted code churn and multi-objective slime mold algorithm
Creators: name: Dai, Hongming
Publisher: name: Zenodo
Year: 2024

description: Effort-aware just-in-time software defect prediction (JIT-SDP) aims to effectively utilize the limited resources of software quality assurance (SQA) to detect more software defects. This improves the efficiency of SQA work and the quality of the software. However, there is disagreement regarding the representation of the key feature variable, SQA effort, in the field of effort-aware JIT-SDP. Additionally, the most recent metaheuristic optimization algorithms (MOAs) have not yet been effectively integrated with multi-objective effort-aware JIT-SDP tasks. These deficiencies, in both feature representation and model optimization (MO), result in a significant disparity between the performance of effort-aware JIT-SDP techniques and the expectations of the industry. In this study, we present a novel method called weighted code churn (CC) and improved multi-objective slime mold algorithm (SMA) (WCMS) for effort-aware JIT-SDP. It comprises two stages: feature improvement (FI) and MO. In the FI phase, we normalize the two feature variables: number of modified files (NF) and distribution of modified code across each file (Entropy). We then use an exponential function to quantify the level of difficulty of the change. The equation is as follows: DD = NFEntropy, where DD is an acronym for the degree of difficulty, NF denotes the base number, and Entropy denotes the index. We define change effort as the product of the difficulty degree in implementing the change and CC, with weighted CC representing the change effort. During the MO stage, we improve the SMA by incorporating multi-objective handling capabilities and devising mechanisms for multi-objective synchronization and conflict resolution. We develop a multi-objective optimization algorithm for hyperparameter optimization (HPO) of the JIT-SDP model in WCMS. To evaluate the performance of our method, we conducted experiments using six well-known open-source projects and employed two effort-aware performance evaluation metrics. We evaluated our method based on three scenarios: cross-validation, time-wise cross-validation, and across-project prediction. The experimental results indicate that the proposed method outperforms the benchmark method. Furthermore, the proposed method demonstrates greater scalability and generalization capabilities.
CLEANANERCorp: Identifying and Correcting Incorrect Labels in the ANERcorp Dataset
Creators: name: Al-Duwais, Mashael
name: Al-Khalifa, Hend
name: Al-Salman, Abdulmalik
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Label errors are a common issue in machine learning datasets, particularly for tasks such as Named Entity Recognition. Such label errors might hurt model training, affect evaluation results, and lead to an inaccurate assessment of model performance. In this study, we dived deep into one of the widely adopted Arabic NER benchmark datasets (ANERcorp) and found a significant number of annotation errors, missing labels, and inconsistencies. Therefore, in this study, we conducted empirical research to understand these errors, correct them and propose a cleaner version of the dataset named CLEANANERCorp. CLEANANERCorp will serve the research community as a more accurate and consistent benchmark.
description: Proceedings of the 6th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLING 2024
Dissipation and Decay of Three Dimensional Holographic Quantum Turbulence
Creators: name: Zeng, Hua-Bi
name: Xia, Chuan-Yin
name: Yang, Wei-Can
name: Tian, Yu
name: Tsubota, Makoto
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Quantum turbulence is a far-from-equilibrium process characterized by high nonlinearity. Holographic duality provides a systematic framework for simulating the decaying $(3+1)$-dimensional quantum turbulence by numerically solving the dual Abelian-Higgs theory in a $(4+1)$-dimensional black hole background. We reveal that different types of decay behavior of the total vortex line density $L$ emerge depending on the initial vortex line density, ranging from $L\sim t^{-1.5}$ to $L\sim t^{-1}$, similar to the experimental observation of $^3$He in Phys. Rev. Lett. 96, 035301 (2006), and of $^4$He in Phys. Rev. Lett. 82, 4831 (1999) and in Phys. Rev. Lett. 118, 134501 (2017). Furthermore, by measuring the energy flux at the black hole horizon, we determine that the energy dissipation rate $dE/dt$ is proportional to the square of the total vortex line density, consistent with the vortex line decay equation proposed by W. F. Vinen and also the experimental measurement in Nature Physics 7, 473 - 476 (2011).
description: 12 pages, 9 figures
Supplemental Material - Effect of pneumatic compression device and stocking use on symptoms and quality of life in women with lipedema: A proof-in-principle randomized trial
Creators: name: Wright, Thomas
name: Scarfino, Crystal D.
name: O’Malley, Ellen M.
Publisher: name: SAGE Journals
Year: 2022
Subjects: Cardiology

description: Supplemental Material for Effect of pneumatic compression device and stocking use on symptoms and quality of life in women with lipedema: A proof-in-principle randomized trial by Thomas Wright, Crystal D. Scarfino, and Ellen M. O’Malley in Phlebology
ESG Rating Disagreement and Corporate Total Factor Productivity:Inference and Prediction
Creators: name: Li, Zhanli
name: Yang, Zichao
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Economics (econ.GN)
subject: Machine Learning (stat.ML)
subject: FOS: Economics and business
subject: FOS: Computer and information sciences

description: This paper examines how ESG rating disagreement (Dis) affects corporate total factor productivity (TFP) in China based on data of A-share listed companies from 2015 to 2022. We find that Dis reduces TFP, especially in state-owned, non-capital-intensive, low-pollution and high-tech firms, green innovation strengthens the dampening effect of Dis on TFP, and that Dis lowers corporate TFP by increasing financing constraints and weakening human capital. Furthermore, XGBoost regression demonstrates that Dis plays a significant role in predicting TFP, with SHAP showing that the dampening effect of ESG rating disagreement on TFP is still pronounced in firms with large Dis values.
description: Accept by Finance Research Letters
Nonvolatile magneto-thermal switching driven by vortex trapping in commercial In-Sn solder
Creators: name: Rani, Poonam
name: Murakami, Takumi
name: Watanabe, Yuto
name: Sepehri-Amin, Hossein
name: Arima, Hiroto
name: Yamashita, Aichi
name: Mizuguchi, Yoshikazu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Magneto-thermal switching (MTS) is a key technology for efficient thermal management. Recently, large MTS with nonvolatility has been observed in Sn-Pb solders [H. Arima et al., Commun. Mater. 5, 34 (2024)] where phase separation, different superconducting transition temperature (Tc) of Sn and Pb, and magnetic-flux trapping are the causes of the nonvolatile MTS. To further understand the mechanism and to obtain the strategy for enhancing switching ratio, exploration of new phase-separated superconductors with nonvolatile MTS is needed. Here, we show that the In52-Sn48 commercial solder is a phase-separated superconducting composite with two Tc and traps vortices after field cooling. A clear signature of nonvolatile MTS was observed at T = 2.5 K. From specific heat analyses, we conclude that the vortices are mainly trapped in the lower-Tc phase (γ-phase) after field cooling, which is the evidence that vortex trapping also works on achieving nonvolatile MTS in phase-separated superconducting composites.
description: 14 pages, 5 figures
Nonlinear soft-tissue elasticity, remodeling, and degradation described by an extended Finsler geometry
Creators: name: Clayton, John D.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Differential Geometry (math.DG)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 53Z05 (primary), 53B40, 74B20

description: A continuum mechanical theory incorporating an extension of Finsler geometry is formulated for fibrous soft solids. Especially if of biologic origin, such solids are nonlinear elastic with evolving microstructures. For example, elongated cells or collagen fibers can stretch and rotate independently of motions of their embedding matrix. Here, a director vector or internal state vector, not always of unit length, in generalized Finsler space relates to a physical mechanism, with possible preferred direction and intensity, in the microstructure. Classical Finsler geometry is extended to accommodate multiple director vectors (i.e., multiple fibers in both a differential-geometric and physical sense) at each point on the base manifold. A metric tensor can depend on the ensemble of director vector fields. Residual or remnant strains from biologic growth, remodeling, and degradation manifest as non-affine fiber and matrix stretches. These remnant stretch fields are quantified by internal state vectors and a corresponding, generally non-Euclidean, metric tensor. Euler-Lagrange equations derived from a variational principle yield equilibrium configurations satisfying balances of forces from elastic energy, remodeling and cohesive energies, and external chemical-biological interactions. Given certain assumptions, the model can reduce to a representation in Riemannian geometry. Residual stresses that emerge from a non-Euclidean material metric in the Riemannian setting are implicitly included in the Finslerian setting. The theory is used to study stress and damage in the ventricle (heart muscle) expanding or contracting under internal and external pressure. Remnant strains from remodeling can reduce stress concentrations and mitigate tissue damage under severe loading.
description: 8 figures
Probing Dark Matter Electromagnetic Properties in Direct Detection Experiments
Creators: name: Ibarra, Alejandro
name: Reichard, Merlin
name: Tomar, Gaurav
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Astronomical and cosmological observations indicate that dark matter should interact very weakly with the electromagnetic radiation. Nevertheless, the existence of such interactions is not precluded by observations nor by theoretical considerations. A promising approach to probe the dark matter electromagnetic properties is through the search of photon-mediated dark matter-nucleus interactions in direct detection experiments. In this paper we present a simple methodology to calculate the scattering rate in a direct detection experiment for given values of the dark matter electric charge, charge radius, electric- and magnetic- dipole moments and anapole moment. In our work we include contributions to the scattering from nuclear recoils and from the Migdal effect. We finally apply this formalism to determine exclusion limits on the five electromagnetic interactions using data from XENON1T, LZ, PICO-60 and DS50 experiments, and we discuss the implications for a simplified dark matter model with t-channel mediators.
description: 26 pages, 10 figures, 1 table. Updated to published version. The rate matrices can be downloaded from https://github.com/ga42puq/EMmoments-rate-matrices
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology
Creators: name: Chen, Kuan-Lin
name: Rao, Bhaskar D.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Signal Processing (eess.SP)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize semidefinite programming (SDP). Although deep neural network (DNN)-based methods offer new alternatives, they still depend on covariance matrix fitting. In this paper, we develop a novel methodology that estimates the co-array subspaces from a sample covariance for SLAs. Our methodology trains a DNN to learn signal and noise subspace representations that are invariant to the selection of bases. To learn such representations, we propose loss functions that gauge the separation between the desired and the estimated subspace. In particular, we propose losses that measure the length of the shortest path between subspaces viewed on a union of Grassmannians, and prove that it is possible for a DNN to approximate signal subspaces. The computation of learning subspaces of different dimensions is accelerated by a new batch sampling strategy called consistent rank sampling. The methodology is robust to array imperfections due to its geometry-agnostic and data-driven nature. In addition, we propose a fully end-to-end gridless approach that directly learns angles to study the possibility of bypassing subspace methods. Numerical results show that learning such subspace representations is more beneficial than learning covariances or angles. It outperforms conventional SDP-based methods such as the sparse and parametric approach (SPA) and existing DNN-based covariance reconstruction methods for a wide range of signal-to-noise ratios (SNRs), snapshots, and source numbers for both perfect and imperfect arrays.
description: 16 pages. Accepted by IEEE Transactions on Signal Processing
Robust Clustering on High-Dimensional Data with Stochastic Quantization
Creators: name: Kozyriev, Anton
name: Norkin, Vladimir
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: 90C15

description: This paper addresses the limitations of conventional vector quantization algorithms, particularly K-Means and its variant K-Means++, and investigates the Stochastic Quantization (SQ) algorithm as a scalable alternative for high-dimensional unsupervised and semi-supervised learning tasks. Traditional clustering algorithms often suffer from inefficient memory utilization during computation, necessitating the loading of all data samples into memory, which becomes impractical for large-scale datasets. While variants such as Mini-Batch K-Means partially mitigate this issue by reducing memory usage, they lack robust theoretical convergence guarantees due to the non-convex nature of clustering problems. In contrast, the Stochastic Quantization algorithm provides strong theoretical convergence guarantees, making it a robust alternative for clustering tasks. We demonstrate the computational efficiency and rapid convergence of the algorithm on an image classification problem with partially labeled data, comparing model accuracy across various ratios of labeled to unlabeled data. To address the challenge of high dimensionality, we employ a Triplet Network to encode images into low-dimensional representations in a latent space, which serve as a basis for comparing the efficiency of both the Stochastic Quantization algorithm and traditional quantization algorithms. Furthermore, we enhance the algorithm's convergence speed by introducing modifications with an adaptive learning rate.
description: 22 pages, 5 figures, published in the International Scientific Technical Journal "Problems of Control and Informatics"
Emergence of Superconductivity at 20 K in Th$_3$P$_4$-type In$_{3-x}$S$_4$ Synthesized by Diamond Anvil Cell with Boron-doped Diamond Electrodes
Creators: name: Matsumoto, Ryo
name: Yamane, Kazuki
name: Tadano, Terumasa
name: Terashima, Kensei
name: Shinmei, Toru
name: Irifune, Tetsuo
name: Takano, Yoshihiko
Publisher: name: arXiv
Year: 2024
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The exploration of superconductors in metastable phases by manipulating crystal structures through high-pressure techniques has attracted significant interest in materials science to achieve a high critical temperature ($T_c$). In this study, we report an emergence of novel superconductivity in a metastable phase of Th$_3$P$_4$-type cubic In$_{3-x}$S$_4$ with remarkably high $T_c$ at 20 K under 45 GPa by using an originally designed diamond anvil cell equipped with boron-doped diamond electrodes, which can perform a high-pressure synthesis and an in-situ electrical transport measurement simultaneously. In-situ structural analysis indicates that the In$_{3-x}$S$_4$ appears partially above 40 GPa without heating. The high-pressure annealing treatment induces complete transformation to the Th$_3$P$_4$-type structure, and the defected concentration of x in In$_{3-x}$S$_4$ decreases with increasing annealing temperature. The $T_c$ in In$_{3-x}$S$_4$ is maximized at x = 0 and approaches 20 K. Electronic band calculations show that the high density of states composed of sulfur and indium bands are located at the conduction band bottom near Fermi energy. The record high $T_c$ in In$_{3-x}$S$_4$ among superconducting sulfides accelerates the further exploration of high $T_c$ materials within the Th$_3$P$_4$-type cubic family by using flexibility in crystal structure.
Defects and type D relativistic Toda lattice for some 5d gauge theories
Creators: name: Lee, Kimyeong
name: Lee, Norton
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We perform folding on the ADHM construction of the instanton moduli space from $SU$ to $SO$ group. A Young diagram description for the $SO$ instanton is obtained after modifying the real and complex moment maps of the ADHM data. We study the Bethe gauge correspondence between type D relativistic Toda lattice and 5d $\mathcal{N}=1$ folded theory. In particular we prove that the regular monodromy defect in the folded gauge theory is the stationary wavefunction of the type D relativistic Toda lattice.
description: 28+16 pages, 2 figures
title: Globalgeschichte beim Wort genommen
Creators: name: Kanduth, Bernhard Dietrich
Year: 2010

description: Die aus der Unklarheit von Begriff und Gegenstandsbereich abgeleitete Kritik aufgreifend, wurde versucht die Globalgeschichte universalienontologisch abzuleiten, um ihre Hypothesen und Methoden im Forschungskontext einordnen zu können. Globalgeschichte, als eine aus der Universalgeschichte erwachsene spezielle Fragestellung der Geschichtswissenschaft, untersucht Phänomene im globalen Kontext. Diese Forschung, über einen als komplexes System aufzufassenden Gegenstandsbereich, erfordert Methoden die sich über den gesamten Untersuchungsgegenstand fortschreiben lassen. Für die Frage nach Globalisierungsphänomenen muss gelten: Ist die Struktur eines Inhaltes global, so ist jeder seiner Inhalte Teil eines Globalisierungsphänomens. Eine Strategie, die zwischen standardisiertem Vergleich und gewissenhafter Interpretation steht, ist die Regel basierte Heuristik. Vorgestellt wird ein methodischer Ansatz, der es gestattet in exakten Arbeitsvorschriften („Algorithmus“) unterschiedliche Verfahren in einem geregelten Rahmen zu verwalten. Als Organisationsform der Inhalte wurde das Prinzip des Content Managements gewählt, und in Hypertext realisiert. Die einzelnen gehaltvollen Inhalte mussten sich sowohl einzeln lesen als über die räumlichen, zeitlichen und Aspekt bezogenen Verweise miteinander kombinieren lassen. Zur Darstellung dieser multifokalen Transkription wurde eine „website“ in Hypertext Markup Language erstellt. Als Quelle diente ein Kapitel aus „Bayly C. A., Die Geburt der modernen Welt“. Der Forschungsprozess folgte den Vorgaben eines heuristischen Algorithmus. Es konnte gezeigt werden, dass Hypertextform und Heuristik auf eine globalgeschichtliche Fragestellung anwendbar sind. Auf Grund der verweisorientierten Handlungsvorschrift ist der Forscher angehalten strukturiert vorzugehen und wird während des Forschungsprozesses auf Inkonsistenzen aufmerksam. Bei der Interpretation ist zu berücksichtigen, dass von suboptimalen Ergebnissen ausgegangen werden muss. Die in der vorliegenden Arbeit hinterfragte Hypothese, dass es möglich ist, eine der Stellung der Globalgeschichte im wissenschaftlichen Kontext adäquate Untersuchungsmethode zu finden, konnte gestärkt werden.
Bulk and surface electron scattering in disordered Bi$_{2}$Te$_{3}$ probed by quasiparticle interference
Creators: name: Nagorkin, Vladislav
name: Schimmel, Sebastian
name: Gebauer, Paul
name: Isaeva, Anna
name: Baumann, Danny
name: Koitzsch, Andreas
name: Büchner, Bernd
name: Hess, Christian
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: We investigated the electronic properties of the topological insulator Bi$_{2}$Te$_{3}$ by scanning tunneling microscopy and spectroscopy at low temperature. We obtained high-resolution quasiparticle interference data of the topological surface Dirac electrons at different energies. Spin-selective joint density of states calculations were performed for surface and bulk electronic states to interpret the observed quasiparticle interference data. The topological properties of our crystals are demonstrated by the absence of backscattering along with the linear energy dispersion of the dominant scattering vector. In addition, we detect non-dispersive scattering modes which we associate with bulk-surface scattering and, thus, allow an approximate identification of the bulk energy gap range based on our quasiparticle interference data. Measurements of differential conductance maps in magnetic fields up to 15 T have been carried out, but no strong modifications could be observed.
description: 14 pages, 22 figures
Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials
Creators: name: Ying, Penghua
name: Zhou, Wenjiang
name: Svensson, Lucas
name: Berger, Esmée
name: Fransson, Erik
name: Eriksson, Fredrik
name: Xu, Ke
name: Liang, Ting
name: Xu, Jianbin
name: Song, Bai
name: Chen, Shunda
name: Erhart, Paul
name: Fan, Zheyong
Publisher: name: arXiv
Year: 2024
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Path-integral molecular dynamics (PIMD) simulations are crucial for accurately capturing nuclear quantum effects in materials. However, their computational intensity and reliance on multiple software packages often limit their applicability at large scales. Here, we present an integration of PIMD methods, including thermostatted ring-polymer molecular dynamics (TRPMD), into the open-source GPUMD package, combined with highly accurate and efficient machine-learned neuroevolution potential (NEP) models. This approach achieves almost the accuracy of first-principles calculations with the computational efficiency of empirical potentials, enabling large-scale atomistic simulations that incorporate nuclear quantum effects. We demonstrate the efficacy of the combined NEP-PIMD approach by examining various thermal properties of diverse materials, including lithium hydride (LiH), three porous metal-organic frameworks (MOFs), liquid water, and elemental aluminum. For LiH, our NEP-PIMD simulations successfully capture the isotope effect, reproducing the experimentally observed dependence of the lattice parameter on the reduced mass. For MOFs, our results reveal that achieving good agreement with experimental data requires consideration of both nuclear quantum effects and dispersive interactions. For water, our PIMD simulations capture the significant impact of nuclear quantum effects on its microscopic structure. For aluminum, the TRPMD method effectively captures thermal expansion and phonon properties, aligning well with quantum mechanical predictions. This efficient NEP-PIMD approach opens new avenues for exploring complex material properties influenced by nuclear quantum effects, with potential applications across a broad range of materials.
description: 16 pages, 9 figures in the main text; 1 table and 8 figures in the SI
Planar Hall supercurrent and δϕ-shift in the topological Josephson junction
Creators: name: Salehi, Morteza
Publisher: name: arXiv
Year: 2024
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We theoretically investigate Josephson junctions comprising superconductors and ferromagnets on the surface of three-dimensional topological insulators. We use Bogoliubov-deGennes formalism and show the in-plane magnetization creates a difference between the upward and downward population of Andreev modes and produces a planar Hall supercurrent. Due to the strong spin-orbit interaction of Dirac fermions, bending on the supercurrent imposes a spin transfer torque on the junction. We develop a theory and demonstrate the relation between planar Hall supercurrent and spin transfer torque. The parallel component of in-plane magnetization creates an anomalous supercurrent that can flow even in zero superconducting phase difference and make $δϕ$-junction. We show in some range,$π/2d \leq m_y \leq π/d$, there is a $π$ shift in the Josephson supercurrent. This research advances our understanding of quantum transport in 3DTIs and highlights their potential in emerging quantum technologies.
description: 8 pages,
A semi-Lagrangian method for the direct numerical simulation of crystallization and precipitation at the pore scale
Creators: name: Perez, Sarah
name: Etancelin, Jean-Matthieu
name: Poncet, Philippe
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Numerical Analysis (math.NA)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: G.1.8; G.1.10; I.6.4; J.2
subject: 65M22

description: This article introduces a new efficient particle method for the numerical simulation of crystallization and precipitation at the pore scale of real rock geometries extracted by X-Ray tomography. It is based on the coupling between superficial velocity models of porous media, Lagrangian description of chemistry using Transition-State-Theory, involving underlying grids. Its ability to successfully compute dissolution process has been established in the past and is presently generalized to precipitation and crystallization by means of adsorption modeling. Numerical simulations of mineral CO2 trapping are provided, showing evidence of clogging/non-clogging regimes, and one of the main results is the introduction of a new non-dimensional number needed for this characterization.
Quantum maximum entropy closure for small flavor coherence
Creators: name: Froustey, Julien
name: Kneller, James P.
name: McLaughlin, Gail C.
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Quantum angular moment transport schemes are an important avenue toward describing neutrino flavor mixing phenomena in dense astrophysical environments such as supernovae and merging neutron stars. Successful implementation will require new closure relations that go beyond those used in classical transport. In this paper, we derive the first analytic expression for a quantum M1 closure, valid in the limit of small flavor coherence, based on the maximum entropy principle. We verify that the resulting closure relation has the appropriate limits and characteristic speeds in the diffusive and free-streaming regimes. We then use this new closure in a moment linear stability analysis to search for fast flavor instabilities in a binary neutron star merger simulation and find better results as compared with previously designed, ad hoc, semiclassical closures.
description: 11 pages, 4 figures