cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
СРАВНИТЕЛЬНАЯ ОЦЕНКА МЕТОДИКИ, ИСПОЛЬЗУЮЩЕЙ МНОЖЕСТВО АВТОРЕГРЕССИОННЫХ ИНТЕГРИРОВАННЫХ МОДЕЛЕЙ СКОЛЬЗЯЩЕГО СРЕДНЕГО ДЛЯ КОНТРОЛЯ ДОСТОВЕРНОСТИ ДАННЫХ ПРИБОРОВ УЧЁТА В АВТОМАТИЗИРОВАННЫХ ИНФОРМАЦИОННО-ИЗМЕРИТЕЛЬНЫХ СИСТЕМАХ КОНТРОЛЯ И УЧЁТА ЭЛЕКТРОЭНЕРГИИ
Creators: name: Гибадуллин, Руслан
Publisher: name: ООО Цифра
Year: 2024
Subjects: arima
automated measuring and information system for electric power fiscal metering
data validity control
аиис куэ
контроль достоверности данных

description: Международный научно-исследовательский журнал, Выпуск 7 (145) 2024
Cotton gravity is not predictive
Creators: name: Clément, Gérard
name: Nouicer, Khireddine
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: It is well-known that the theory of Cotton gravity proposed by Harada is trivially solved by all isotropic and homogeneous cosmologies. We show that this under-determination is more general. More precisely, the degree of arbitrariness in the solutions increases with the degree of symmetry. We give two simple examples. The first is that of static spherically symmetric solutions, which depend on an arbitrary function of the radial coordinate. The second is that of anisotropic cosmologies, which depend on an arbitrary function of time.
description: 11 pages, revised augmented version, incorporates input from arXiv:2401.16008
Supplementary document for FSMN-Net: A Free Space Matching Network based on Manifold Convolution for Optical Molecular Tomography - 6830118.pdf
Creators: name: Li, ShuangChen
name: Wang, Beilei
name: Yu, Jingjing
name: He, Xiaowei
name: hongbo, Guo
name: He, Xuelei
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: supplementary
Accurate colon segmentation using 2D convolutional neural networks with 3D contextual information
Creators: Samir Harb
Ahmed Elsayed
Mohamed Yousuf
Asem Ali
Salwa Elshazly
and Aly Farag
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: This study introduces an innovative framework for accurate colon segmentation in abdomen CT scans, addressing the unique challenges of this task. Our architecture enhances well-established 2D segmentation models by incorporating 3D contextual information through a novel method that generates an attention map for a given slice by considering its neighboring slices. This approach achieves effective colon segmentation without complex 3D convolutional neural networks (CNNs) or Long Short-Term Memory (LSTM) networks by combining 2D CNNs. Validated on a dataset of 98 CT scans from 49 patients, the architecture demonstrates notable performance, capturing crucial details for precise colon segmentation. The experiments include thorough model selection and cross-validation, providing insights into the efficacy of our approach. The results highlight the potential for streamlined colon segmentation in medical imaging by integrating 2D and 3D information with 2D networks, avoiding challenges associated with 3D networks. The code for the model architecture is available at: https://github.com/Samir-Farag/ICIP2024.git.
Non-Hermitian phase-biased Josephson junctions
Creators: name: Cayao, Jorge
name: Sato, Masatoshi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We study non-Hermitian Josephson junctions formed by superconductors with a finite phase difference under non-Hermiticity, which naturally appears due to coupling to normal reservoirs. Depending on the structure of non-Hermiticity, captured in terms of retarded self-energies, the low-energy spectrum hosts topologically stable exceptional points either at zero or finite real energies as a function of the superconducting phase difference. Interestingly, the corresponding phase-biased supercurrents may acquire divergent profiles at such exceptional points. This instance is a natural and unique non-Hermitian effect that signals a possible way to enhance the sensitivity of Josephson junctions. Our work opens a way for realizing unique non-Hermitian phenomena due to the interplay between non-Hermitian topology and the Josephson effect.
description: 9 pages, 4 figures + 14 pages supplemental material. Published version
Advances in Sentiment Analysis : Techniques, Applications, and Challenges
Creators: name: SHARMA, Ritu
Publisher: name: figshare
Year: 2025
Subjects: classificationCode: 460208
subject: Natural language processing
classificationCode: 461199
subject: Machine learning not elsewhere classified
classificationCode: 460802
subject: Affective computing
classificationCode: 460806
subject: Human-computer interaction
classificationCode: 460804
subject: Computing education

description: In the digital era, sentiment analysis, also referred to as opinion mining or emotion AI, has evolved significantly with the integration of cutting-edge advancements in artificial intelligence. This paper provides a comprehensive review of the latest techniques, applications, and challenges in sentiment analysis. It explores modern approaches, including transformer-based deep learning models (such as BERT, RoBERTa, and GPT-based architectures), sentiment lexicons, hybrid machine learning techniques, and real-time sentiment tracking algorithms. The broad spectrum of applications now extends to marketing optimization, brand reputation management, consumer behavior analytics, financial market predictions, healthcare sentiment monitoring, and political discourse analysis. Additionally, the paper highlights emerging challenges such as improved sarcasm detection through contextual AI, evolving linguistic and cultural nuances, cross-lingual sentiment adaptation, biases in AI-driven sentiment models, and ethical concerns surrounding sentiment data privacy. Addressing these challenges will enable researchers and practitioners to refine sentiment analysis methodologies, leading to more precise and ethical AI models in this rapidly advancing domain.
Perturbation Spectra of Warm Inflation in $f(Q, T)$ Gravity
Creators: name: Shiravand, Maryam
name: Farhoudi, Mehrdad
name: Goodarzi, Parviz
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We investigate the warm inflationary scenario within the context of the linear version of f (Q, T ) gravity, coupled with both the inflaton scalar field and the radiation field, under the conditions of the strong dissipation regime. First, we calculate the modified Friedmann equations and the modified slow-roll parameters. Subsequently, we apply the slow-roll approximations to derive the scalar power spectrum and the tensor power spectrum. Also, we develop formulations of the scalar and tensor perturbations for the f (Q, T ) gravity with the warm inflation scenario. Furthermore, we scrutinize two different forms of the dissipation coefficient, a constant and a function of the inflaton field, to determine the scalar spectral index, the tensor-to-scalar ratio and the temperature for the power-law potential case. By imposing some constraints on the free parameters of the model, we attain results in good agreement with both the Planck 2018 data and the joint Planck, BK15 and BAO data for the tensor-to-scalar ratio, and consistent results aligned with the Planck 2018 data for the scalar spectral index. In addition, the obtained results are within the range of observational data for the amplitude of the scalar power spectrum. Consequently, we are able to revive the power-law potential that was previously ruled out by observational data. Moreover, for both dissipation coefficients, the model leads to a scalar spectral index with the blue and red tilts in agreement with the WMAP three years data.
description: 23 pages, 3 figures each with five graphs
Supplementary document for Experimental demonstration of a nanobeam Fano laser - 6830503.pdf
Creators: name: Dong, Gaoneng
name: Xiong, Meng
name: Dimopoulos, Evangelos
name: Sakanas, Aurimas
name: Semenova, Elizaveta
name: Yvind, Kresten
name: Yu, Yi
name: Mørk, Jesper
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplement
Algebraic cycles on hyper-Kähler varieties of generalized Kummer type
Creators: name: Floccari, Salvatore
name: Varesco, Mauro
Publisher: name: arXiv
Year: 2023
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics

description: We prove the conjectures of Hodge and Tate for any four-dimensional hyper-Kähler variety of generalized Kummer type. For an arbitrary variety $X$ of generalized Kummer type, we show that all Hodge classes in the subalgebra of the rational cohomology generated by $H^2(X,\mathbb{Q})$ are algebraic.
description: v2: final version, published on Mathematische Annalen
A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions
Creators: name: Agarwal, Siddharth
name: Rodriguez, Maria A.
name: Buyya, Rajkumar
Publisher: name: arXiv
Year: 2023
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Artificial Intelligence (cs.AI)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: FaaS introduces a lightweight, function-based cloud execution model that finds its relevance in a range of applications like IoT-edge data processing and anomaly detection. While cloud service providers offer a near-infinite function elasticity, these applications often experience fluctuating workloads and stricter performance constraints. A typical CSP strategy is to empirically determine and adjust desired function instances or resources, known as autoscaling, based on monitoring-based thresholds such as CPU or memory, to cope with demand and performance. However, threshold configuration either requires expert knowledge, historical data or a complete view of the environment, making autoscaling a performance bottleneck that lacks an adaptable solution. RL algorithms are proven to be beneficial in analysing complex cloud environments and result in an adaptable policy that maximizes the expected objectives. Most realistic cloud environments usually involve operational interference and have limited visibility, making them partially observable. A general solution to tackle observability in highly dynamic settings is to integrate Recurrent units with model-free RL algorithms and model a decision process as a POMDP. Therefore, in this paper, we investigate model-free Recurrent RL agents for function autoscaling and compare them against the model-free PPO algorithm. We explore the integration of a LSTM network with the state-of-the-art PPO algorithm to find that under our experimental and evaluation settings, recurrent policies were able to capture the environment parameters and show promising results for function autoscaling. We further compare a PPO-based autoscaling agent with commercially used threshold-based function autoscaling and posit that a LSTM-based autoscaling agent is able to improve throughput by 18%, function execution by 13% and account for 8.4% more function instances.
description: 12 pages, 15 figures, 4 tables
THE MAGIC OF WORDS: THE ARTISTIC LANGUAGE OF OSCAR LOERKE’S LYRICS
Creators: name: Community Of Reviewers Of The International Research Journal
Publisher: name: Cifra LLC
Year: 2024
Subjects: cultural crisis
artistic language
magic of word’s
magical landscape lyrics
artistic statement
кризис культуры
художественный язык
магия слова
магическая природная лирика
художественный образ

description: Международный научно-исследовательский журнал, Выпуск 7 (145) 2024
Appendix_Supplementary_material - On 3D-printed ZnO-reinforced PLA matrix composite: Tensile, thermal, morphological and shape memory characteristics
Creators: name: Singh, Mohit
name: Singh, Rupinder
name: Kumar, Ranvijay
name: Kumar, Pawan
name: Preet, Pawan
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Appendix_Supplementary_material for On 3D-printed ZnO-reinforced PLA matrix composite: Tensile, thermal, morphological and shape memory characteristics by Mohit Singh, Rupinder Singh, Ranvijay Kumar, Pawan Kumar and Pawan Preet in Journal of Thermoplastic Composite Materials
Supplementary document for Light Field Camera Calibration and PSF Calculation Based on Differentiable Ray Tracing - 6830703.pdf
Creators: name: Mei, Di
name: Luan, Yinsen
name: Li, Xiangchao
name: Wu, XiJiang
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Information regarding the computational load
GIPC: Fast and stable Gauss-Newton optimization of IPC barrier energy
Creators: name: Huang, Kemeng
name: Chitalu, Floyd
name: Lin, Huancheng
name: Komura, Taku
Publisher: name: arXiv
Year: 2023
Subjects: subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences
subject: I.3.5

description: Barrier functions are crucial for maintaining an intersection and inversion free simulation trajectory but existing methods which directly use distance can restrict implementation design and performance. We present an approach to rewriting the barrier function for arriving at an efficient and robust approximation of its Hessian. The key idea is to formulate a simplicial geometric measure of contact using mesh boundary elements, from which analytic eigensystems are derived and enhanced with filtering and stiffening terms that ensure robustness with respect to the convergence of a Project-Newton solver. A further advantage of our rewriting of the barrier function is that it naturally caters to the notorious case of nearly-parallel edge-edge contacts for which we also present a novel analytic eigensystem. Our approach is thus well suited for standard second order unconstrained optimization strategies for resolving contacts, minimizing nonlinear nonconvex functions where the Hessian may be indefinite. The efficiency of our eigensystems alone yields a 3x speedup over the standard IPC barrier formulation. We further apply our analytic proxy eigensystems to produce an entirely GPU-based implementation of IPC with significant further acceleration.
DS_10.1177_0022034520937617 – Supplemental material for MicroRNA-29b Promotes Subchondral Bone Loss in TMJ Osteoarthritis
Creators: name: J.L. Sun
name: J.F. Yan
name: S.B. Yu
name: J. Zhao
name: Q.Q. Lin
name: K. Jiao
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110599 Dentistry not elsewhere classified
subject: FOS: Clinical medicine
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental material, DS_10.1177_0022034520937617 for MicroRNA-29b Promotes Subchondral Bone Loss in TMJ Osteoarthritis by J.L. Sun, J.F. Yan, S.B. Yu, J. Zhao, Q.Q. Lin and K. Jiao in Journal of Dental Research
Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land Cover Mapping
Creators: name: Otal, Hakan T.
name: Zavar, Elyse
name: Binder, Sherri B.
name: Greer, Alex
name: Canbaz, M. Abdullah
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences
subject: I.4.9
subject: 68T45

description: Environmental disasters such as floods, hurricanes, and wildfires have increasingly threatened communities worldwide, prompting various mitigation strategies. Among these, property buyouts have emerged as a prominent approach to reducing vulnerability to future disasters. This strategy involves governments purchasing at-risk properties from willing sellers and converting the land into open space, ostensibly reducing future disaster risk and impact. However, the aftermath of these buyouts, particularly concerning land-use patterns and community impacts, remains under-explored. This research aims to fill this gap by employing innovative techniques like satellite imagery analysis and deep learning to study these patterns. To achieve this goal, we employed FEMA's Hazard Mitigation Grant Program (HMGP) buyout dataset, encompassing over 41,004 addresses of these buyout properties from 1989 to 2017. Leveraging Google's Maps Static API, we gathered 40,053 satellite images corresponding to these buyout lands. Subsequently, we implemented five cutting-edge machine learning models to evaluate their performance in classifying land cover types. Notably, this task involved multi-class classification, and our model achieved an outstanding ROC-AUC score of 98.86%
Probing Inhomogeneous Cuprate Superconductivity by Terahertz Josephson Echo Spectroscopy
Creators: name: Liu, Albert
name: Pavicevic, Danica
name: Michael, Marios H.
name: Salvador, Alex G.
name: Dolgirev, Pavel E.
name: Fechner, Michael
name: Disa, Ankit S.
name: Lozano, Pedro M.
name: Li, Qiang
name: Gu, Genda D.
name: Demler, Eugene
name: Cavalleri, Andrea
Publisher: name: arXiv
Year: 2023
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Inhomogeneities play a crucial role in determining the properties of quantum materials. Yet methods that can measure these inhomogeneities are few, and apply to only a fraction of the relevant microscopic phenomena. For example, the electronic properties of cuprate materials are known to be inhomogeneous over nanometer length scales, although questions remain about how such disorder influences supercurrents and their dynamics. Here, two-dimensional terahertz spectroscopy is used to study interlayer superconducting tunneling in near-optimally-doped La1.83Sr0.17CuO4. We isolate a 2 THz Josephson echo signal with which we disentangle intrinsic lifetime broadening from extrinsic inhomogeneous broadening. We find that the Josephson plasmons are only weakly inhomogeneously broadened, with an inhomogeneous linewidth that is three times smaller than their intrinsic lifetime broadening. This extrinsic broadening remains constant up to 0.7Tc, above which it is overcome by the thermally-increased lifetime broadening. Crucially, the effects of disorder on the Josephson plasma resonance are nearly two orders of magnitude smaller than the in-plane variations in the superconducting gap in this compound, which have been previously documented using Scanning Tunnelling Microscopy (STM) measurements. Hence, even in the presence of significant disorder in the superfluid density, the finite frequency interlayer charge fluctuations exhibit dramatically reduced inhomogeneous broadening. We present a model that relates disorder in the superfluid density to the observed lifetimes.
Supplementary document for Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural network - 6830955.pdf
Creators: name: Alido, Jeffrey
name: Greene, Joseph
name: Xue, Yujia
name: Hu, Guorong
name: Li, Yunzhe
name: Gilmore, Mitchell
name: Monk, Kevin J.
name: DiBenedictis, Brett T.
name: Davison, Ian
name: Tian, Lei
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: supplementary information
Composite quadrupole order in ferroic and multiferroic materials
Creators: name: Geilhufe, R. Matthias
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The formalism of composite and intertwined orders has been remarkably successful in discussing the complex phase diagrams of strongly correlated materials and high-$T_c$ superconductors. Here, we propose that composite orders are also realized in ferroelectric and ferromagnetic materials when lattice anisotropy is taken into account. This composite order emerges above the ferroic phase transition, and its existence is determined by the easy axis of magnetization or polarization, respectively. In multiferroic materials, where polarization and magnetization are coupled, composites of both orders are possible. This formalism of composite orders naturally accounts for magnetoelectric monopole, toroidal, and quadrupole orders. More broadly, composite orders may explain precursor phenomena in incipient (multi)ferroic materials, arising at temperatures above the ferroic phase transition and potentially contributing to the characterization of currently hidden orders.
description: 7 pages, 3 figures
appendix_(1) – Supplemental material for The Influence of Music Training on Motoric Inhibition in German Preschool Children
Creators: name: Degé, Franziska
name: Patscheke, Hanne
name: Schwarzer, Gudrun
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: Education
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, appendix_(1) for The Influence of Music Training on Motoric Inhibition in German Preschool Children by Franziska Degé, Hanne Patscheke and Gudrun Schwarzer in Musicae Scientiae
Программа дополнительного профессионального образования как инструмент организации педагогических условий для работы со слепыми подростками-билингвами
Creators: name: Бочкина, Елена
Publisher: name: ООО Цифра
Year: 2024
Subjects: additional professional education programmes
professional development
teachers
visually impaired students
blind bilingual teenagers
pedagogical conditions
программы дополнительного профессионального образования
повышение квалификации
педагоги
обучающиеся с нарушениями зрения
слепые подростки-билингвы
педагогические условия

description: Международный научно-исследовательский журнал, Выпуск 7 (145) 2024
Additional file 1 of Effects of a biomechanical-based Tai Chi program on gait and posture in people with Parkinson’s disease: study protocol for a randomized controlled trial
Creators: name: Law, Nok-Yeung
name: Li, Jing Xian
name: Zhu, Qingguang
name: Nantel, Julie
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Mental Health

description: Additional file 1. Consent form.
When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System
Creators: name: Zhang, Hao
name: Xu, Jin-Jian
name: Cui, Hong-Wei
name: Li, Lin
name: Yang, Yaowen
name: Tang, Chao-Sheng
name: Boers, Niklas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Geophysics (physics.geo-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Artificial intelligence (AI) has significantly advanced Earth sciences, yet its full potential in to comprehensively modeling Earth's complex dynamics remains unrealized. Geoscience foundation models (GFMs) emerge as a paradigm-shifting solution, integrating extensive cross-disciplinary data to enhance the simulation and understanding of Earth system dynamics. These data-centric AI models extract insights from petabytes of structured and unstructured data, effectively addressing the complexities of Earth systems that traditional models struggle to capture. The unique strengths of GFMs include flexible task specification, diverse input-output capabilities, and multi-modal knowledge representation, enabling analyses that surpass those of individual data sources or traditional AI methods. This review not only highlights the key advantages of GFMs, but also presents essential techniques for their construction, with a focus on transformers, pre-training, and adaptation strategies. Subsequently, we examine recent advancements in GFMs, including large language models, vision models, and vision-language models, particularly emphasizing the potential applications in remote sensing. Additionally, the review concludes with a comprehensive analysis of the challenges and future trends in GFMs, addressing five critical aspects: data integration, model complexity, uncertainty quantification, interdisciplinary collaboration, and concerns related to privacy, trust, and security. This review offers a comprehensive overview of emerging geoscientific research paradigms, emphasizing the untapped opportunities at the intersection of advanced AI techniques and geoscience. It examines major methodologies, showcases advances in large-scale models, and discusses the challenges and prospects that will shape the future landscape of GFMs.
description: accpeted by IEEE Geoscience and Remote Sensing Magazine
Supplemental Material, Table_S1 - Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database
Creators: name: Fu, Peng
name: Shi, Yu
name: Chen, Gang
name: Fan, Yaohua
name: Gu, Yanhong
name: Gao, Zhenzhen
Publisher: name: SAGE Journals
Year: 2020
Subjects: Oncology and Carcinogenesis not elsewhere classified
Radiology and Organ Imaging
Biochemistry

description: Supplemental Material, Table_S1 for Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database  by Peng Fu, Yu Shi, Gang Chen, Yaohua Fan, Yanhong Gu and Zhenzhen Gao in Technology in Cancer Research & Treatment
Supplementary_data_1 – Supplemental material for Study of Semen Quality, Reproductive Hormone Levels, and Lipid Levels in Men From Arkhangelsk, a City in North of European Russia
Creators: name: Osadchuk, Ludmila
name: Tipisova, Elena
name: Kleshchev, Maxim
name: Gorenko, Irina
name: Osadchuk, Alexander
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111099 Nursing not elsewhere classified
subject: 111799 Public Health and Health Services not elsewhere classified

description: Supplemental material, Supplementary_data_1 for Study of Semen Quality, Reproductive Hormone Levels, and Lipid Levels in Men From Arkhangelsk, a City in North of European Russia by Ludmila Osadchuk, Elena Tipisova, Maxim Kleshchev, Irina Gorenko and Alexander Osadchuk in American Journal of Men’s Health
Figure_S2_1 – Supplemental material for Differential adhesion and fibrinolytic activity of mesenchymal stem cells from human bone marrow, placenta, and Wharton’s jelly cultured in a fibrin hydrogel
Creators: name: Chaires-Rosas, Casandra P
name: Xóchitl Ambriz
name: Montesinos, Juan J
name: Hernández-Téllez, Beatriz
name: Piñón-Zárate, Gabriela
name: Herrera-Enríquez, Miguel
name: Érika Hernández-Estévez
name: Ambrosio, Javier R
name: Castell-Rodríguez, Andrés
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 110599 Dentistry not elsewhere classified
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences

description: Supplemental material, Figure_S2_1 for Differential adhesion and fibrinolytic activity of mesenchymal stem cells from human bone marrow, placenta, and Wharton’s jelly cultured in a fibrin hydrogel by Casandra P Chaires-Rosas, Xóchitl Ambriz, Juan J Montesinos, Beatriz Hernández-Téllez, Gabriela Piñón-Zárate, Miguel Herrera-Enríquez, Érika Hernández-Estévez, Javier R Ambrosio and Andrés Castell-Rodríguez in Journal of Tissue Engineering
Supplemental material for E-government as an anti-corruption tool: panel data analysis across countries
Creators: name: Park, Chul Hyun
name: Koomin Kim
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 160607 International Relations
subject: FOS: Political science
subject: 160509 Public Administration

description: Supplemental Material for E-government as an anti-corruption tool: panel data analysis across countries by Chul Hyun Park and Koomin Kim in International Review of Administrative Sciences
Supplementary document for Multiscale imaging of corneal endothelium damage and Rho-kinase inhibitor application in mouse models of acute ocular hypertension - 6831136.pdf
Creators: name: Cai, Zhen
name: zhang, Yang
name: Fang, Raymond
name: Brenner, Ben
name: KWON, JUNGHUN
name: Sun, Cheng
name: Goldberg, Jeffrey
name: Zhang, Hao
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplemental Info
ПОВЫШЕНИЕ ЭФФЕКТИВНОСТИ ЭЛЕКТРОЭНЕРГЕТИКИ ПРИ РЕАЛИЗАЦИИ ДОГОВОРОВ ПРЕДОСТАВЛЕНИЯ МОЩНОСТИ НА ОСНОВЕ СТУПЕНЧАТОГО ПОДОГРЕВА В КОТЛАХ-УТИЛИЗАТОРАХ КОНДЕНСАТА ПАРОТУРБИННЫХ УСТАНОВОК
Creators: name: Сообщество рецензентов Международного научно-исследовательского журнала
Publisher: name: ООО Цифра
Year: 2024
Subjects: electric power industry
energy efficiency
power industry reform
capacity supply agreements
capacity modernization and upgrade
combined cycle gas turbine plant
gas turbine plant
steam turbine plant
waste heat boilers
efficiency factor
steam generation circuit
электроэнергетика
энергоэффективность
реформа электроэнергетики
договора предоставления мощности
модернизация и обновление мощностей
парогазовая установка
газотурбинная установка
паротурбинная установка
котлы-утилизаторы
коэффициент полезного действия
контур генерации пара

description: Международный научно-исследовательский журнал, Выпуск 7 (145) 2024
Additional file 1 of The effects of dietary supplementation with mushroom or selenium enriched mushroom powders on the growth performance and intestinal health of post-weaned pigs
Creators: name: Dowley, Alison
name: Sweeney, Torres
name: Conway, Eadaoin
name: Vigors, Stafford
name: Ryan, Marion T.
name: Yadav, Supriya
name: Wilson, Jude
name: O’Doherty, John V.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Table S1. The effects of dietary treatment on the expression of nutrient transporters, immune markers and tight junctions in pigs duodenum, jejunum and ileum.
Adsorption and Vibrational Spectroscopy of CO on the Surface of MgO from Periodic Local Coupled-Cluster Theory
Creators: name: Ye, Hong-Zhou
name: Berkelbach, Timothy C.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: The adsorption of CO on the surface of MgO has long been a model problem in surface chemistry. Here, we report periodic Gaussian-based calculations for this problem using second-order perturbation theory (MP2) and coupled-cluster theory with single and double excitations (CCSD) and perturbative triple excitations [CCSD(T)], with the latter two performed using a recently developed extension of the local natural orbital approximation to problems with periodic boundary conditions. The low cost of periodic local correlation calculations allows us to calculate the full CCSD(T) binding curve of CO approaching the surface of MgO (and thus the adsorption energy) and the two-dimensional potential energy surface (PES) as a function of the distance from the surface and the CO stretching coordinate. From the PES, we obtain the fundamental vibrational frequency of CO on MgO, whose shift from the gas phase value is a common experimental probe of surface adsorption. We find that CCSD(T) correctly predicts a positive frequency shift upon adsorption of $+14.7~\textrm{cm}^{-1}$, in excellent agreement with the experimental shift of $+14.3~\textrm{cm}^{-1}$. We use our CCSD(T) results to assess the accuracy of MP2, CCSD, and several density functional theory (DFT) approximations, including exchange correlation functionals and dispersion corrections. We find that MP2 and CCSD yield reasonable binding energies and frequency shifts, whereas many DFT calculations overestimate the magnitude of the adsorption energy by $5$ -- $15$~kJ/mol and predict a negative frequency shift of about $-20~\textrm{cm}^{-1}$, which we attribute to self-interaction-induced delocalization errors that are mildly ameliorated with hybrid functionals. Our findings highlight the accuracy and computational efficiency of the periodic local correlation for the simulation of surface chemistry with accurate wavefunction methods.
description: 6 pages, 3 figures, 1 tables (excluding references and SI)
New Perspectives on Torsional Rigidity and Polynomial Approximations of z-bar
Creators: name: Kraus, Adam
name: Simanek, Brian
Publisher: name: arXiv
Year: 2023
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: We consider polynomial approximations of z-bar to better understand the torsional rigidity of polygons. Our main focus is on low degree approximations and associated extremal problems that are analogous to Polya's conjecture for torsional rigidity of polygons. We also present some numerics in support of Polya's Conjecture on the torsional rigidity of pentagons.
description: 13 pages, 8 Figures
Supplementary document for Quantitative study on the photoemission of AlGaN nanoarrays based on the three-dimensional transportation within a four-step process - 6831419.pdf
Creators: name: Shi, Hongkai
name: Kan, Caixia
name: Diao, Yu
name: Wang, Yuyan
name: Dai, Yuting
name: Wu, Xian
name: Xia, Sihao
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplement 1
Supplementary document for Quantitative study on the photoemission of AlGaN nanoarrays based on the three-dimensional transportation within a four-step process - 6831419.pdf
Creators: name: Shi, Hongkai
name: Kan, Caixia
name: Diao, Yu
name: Wang, Yuyan
name: Dai, Yuting
name: Wu, Xian
name: Xia, Sihao
Publisher: name: Optica Publishing Group
Year: 2024
Subjects: Uncategorized

description: Supplement 1
2D simulation of the AC argon plasma jet at low temperature using COMSOL Multiphysics software
Creators: name: Kanareikin, Aleksandr
Publisher: name: Cifra LLC
Year: 2024
Subjects: plasma jet based on a dielectric barrier discharge
electron density
electron temperature
плазменная струя на основе диэлектрического барьерного разряда
плотность электронов
температура электронов

description: Международный научно-исследовательский журнал, Выпуск 7 (145) 2024
Uncertainty relations from state polynomial optimization
Creators: name: Morán, Moisés Bermejo
name: Huber, Felix
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Uncertainty relations are a fundamental feature of quantum mechanics. How can these relations be found systematically? Here we develop a semidefinite programming hierarchy for additive uncertainty relations in the variances of non-commuting observables. Our hierarchy is built on the state polynomial optimization framework, also known as scalar extension. The hierarchy is complete, in the sense that it converges to tight uncertainty relations. We improve upon upper bounds for all 1292 additive uncertainty relations on up to nine operators for which a tight bound is not known. The bounds are dimension-free and depend entirely on the algebraic relations among the operators. The techniques apply to a range of scenarios, including Pauli, Heisenberg-Weyl, and fermionic operators, and generalize to higher order moments and multiplicative uncertainty relations.
description: 9 pages, 4 tables. Reference to Eq 23 added. Final version
Supplementary document for Pressure sensing with two-color laser absorption spectroscopy for combustion diagnostics - 6831821.pdf
Creators: name: Wang, Ruifeng
name: huang, tianxu
name: Mei, Jiaoxu
name: wang, guishi
name: LIU, KUN
name: Kan, Ruifeng
name: Chen, Weidong
name: Gao, Xiaoming
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: supplementary material in which the reviewer comments are explicitly addressed
Spin-orbit enabled unconventional Stoner magnetism
Creators: name: Yu, Yue
name: Shishidou, Tatsuya
name: Sumita, Shuntaro
name: Weinert, Michael
name: Agterberg, Daniel F.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The Stoner instability remains a cornerstone for understanding metallic ferromagnets. This instability captures the interplay of Coulomb repulsion, Pauli exclusion, and two-fold fermionic spin degeneracy. In materials with spin-orbit coupling, this fermionic spin is generalized to a two-fold degenerate pseudospin which is typically believed to have symmetry properties as spin. Here we identify a distinct symmetry of this pseudospin that forbids it to couple to a Zeeman field. This `spinless' property is required to exist in five non-symmorphic space groups and has non-trivial implications for superconductivity and magnetism. With Coulomb repulsion, Fermi surfaces composed primarily of this spinless pseudospin feature give rise to Stoner instabilities into magnetic states that are qualitatively different than ferromagnets. These spinless-pseudospin ferromagnets break time-reversal symmetry, have a vanishing magnetization, are non-collinear, and exhibit altermagnetic-like energy band spin-splittings. In superconductors, for all pairing symmetries and field orientations, this spinless pseudospin extinguishes paramagnetic limiting. We discuss applications to superconducting UCoGe and magnetic NiS$_{2-x}$Se$_x$.
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
Creators: name: Zhao, Lifan
name: Shen, Yanyan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Recently, channel-independent methods have achieved state-of-the-art performance in multivariate time series (MTS) forecasting. Despite reducing overfitting risks, these methods miss potential opportunities in utilizing channel dependence for accurate predictions. We argue that there exist locally stationary lead-lag relationships between variates, i.e., some lagged variates may follow the leading indicators within a short time period. Exploiting such channel dependence is beneficial since leading indicators offer advance information that can be used to reduce the forecasting difficulty of the lagged variates. In this paper, we propose a new method named LIFT that first efficiently estimates leading indicators and their leading steps at each time step and then judiciously allows the lagged variates to utilize the advance information from leading indicators. LIFT plays as a plugin that can be seamlessly collaborated with arbitrary time series forecasting methods. Extensive experiments on six real-world datasets demonstrate that LIFT improves the state-of-the-art methods by 5.5% in average forecasting performance. Our code is available at https://github.com/SJTU-Quant/LIFT.
description: Accepted to ICLR 2024. Code is at https://github.com/SJTU-DMTai/LIFT
Supplemental Material, SI_figures - Comparison of Low-Molecular-Weight Heparins Prepared From Ovine Heparins With Enoxaparin
Creators: name: Jianle Chen
name: Yanlei Yu
name: Fareed, Jawed
name: Hoppensteadt, Debra
name: Jeske, Walter
name: Kouta, Ahmed
name: Caijuan Jin
name: Yongsheng Jin
name: Yiming Yao
name: Xia, Ke
name: Fuming Zhang
name: Shiguo Chen
name: Xingqian Ye
name: Linhardt, Robert J.
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: Cardiology
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine

description: Supplemental Material, SI_figures for Comparison of Low-Molecular-Weight Heparins Prepared From Ovine Heparins With Enoxaparin by Jianle Chen, Yanlei Yu, Jawed Fareed, Debra Hoppensteadt, Walter Jeske, Ahmed Kouta, Caijuan Jin, Yongsheng Jin, Yiming Yao, Ke Xia, Fuming Zhang, Shiguo Chen, Xingqian Ye and Robert J. Linhardt in Clinical and Applied Thrombosis/Hemostasis
Supplemental Material2 - Supplemental material for Acceptable in the EU? Why some immigration restrictionists support European Union mobility
Creators: name: Blinder, Scott
name: Markaki, Yvonni
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 160607 International Relations
subject: FOS: Political science
subject: 120505 Regional Analysis and Development
subject: FOS: Social and economic geography

description: Supplemental material, Supplemental Material2 for Acceptable in the EU? Why some immigration restrictionists support European Union mobility by Scott Blinder and Yvonni Markaki: the EuroHYP-1 investigators in European Union Politics
Supplemental material for Application of Manual Therapy for Dysphagia in Head and Neck Cancer Patients: A Preliminary National Survey of Treatment Trends and Adverse Events
Creators: name: Krisciunas, Gintas P
name: Aneri Vakharia
name: Lazarus, Cathy
name: Taborda, Stephanie Gomez
name: Martino, Rosemary
name: Hutcheson, Katherine
name: McCulloch, Timothy
name: Langmore, Susan E
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Medicine
subject: 111799 Public Health and Health Services not elsewhere classified

description: Supplemental Material for Application of Manual Therapy for Dysphagia in Head and Neck Cancer Patients: A Preliminary National Survey of Treatment Trends and Adverse Events by Gintas P Krisciunas MPH, MA Aneri Vakharia BS Cathy Lazarus PhD Stephanie Gomez Taborda BS Rosemary Martino PhD Katherine Hutcheson PhD Timothy McCulloch MD Susan E Langmore PhD in Global Advances in Health and Medicine
Анализ методов противодействия угрозам для промышленного интернета вещей
Creators: name: Артамонов, Владимир
Publisher: name: ООО Цифра
Year: 2024
Subjects: Industrial Internet of Things (IIoT)
information security
iot
iiot
промышленный интернет вещей (ПИВ)
информационная безопасность

description: Международный научно-исследовательский журнал, Выпуск 7 (145) 2024
Additional file 4 of An intervention to promote positive homeworker health and wellbeing through effective home-working practices: a feasibility and acceptability study
Creators: name: Keightley, Samuel
name: Duncan, Myanna
name: Gardner, Benjamin
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Mental Health

description: Additional file 4: Additional file 4. Follow up interview schedule.
РОБАСТНАЯ МИНИМАКСНАЯ ЛИНЕЙНАЯ ЭКСТРАПОЛЯЦИЯ И ИНТЕРПОЛЯЦИЯ НЕСТАЦИОНАРНОГО ПРОЦЕССА В УСЛОВИЯХ ИНТЕРВАЛЬНОЙ НЕЧЕТКОСТИ МАТРИЦЫ СОСТОЯНИЯ СИСТЕМЫ С ОГРАНИЧЕННОЙ ДИСПЕРСИЕЙ
Creators: name: Сообщество рецензентов Международного научно-исследовательского журнала
Publisher: name: ООО Цифра
Year: 2024
Subjects: robust
minimax
filtering
linear
fuzziness
interval
parametric
weakly nonstationary
stability
Hurwitz
saddle point
suboptimal
робастный
минимаксный
фильтрация
линейный
нечеткость
интервальный
параметрический
слабо нестационарный
устойчивость
гурвицевость
седловая точка
субоптимальный

description: Международный научно-исследовательский журнал, Выпуск 7 (145) 2024
Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity
Creators: name: Alacaoglu, Ahmet
name: Kim, Donghwan
name: Wright, Stephen J.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optimization and Control (math.OC)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: We focus on constrained, $L$-smooth, potentially stochastic and nonconvex-nonconcave min-max problems either satisfying $ρ$-cohypomonotonicity or admitting a solution to the $ρ$-weakly Minty Variational Inequality (MVI), where larger values of the parameter $ρ>0$ correspond to a greater degree of nonconvexity. These problem classes include examples in two player reinforcement learning, interaction dominant min-max problems, and certain synthetic test problems on which classical min-max algorithms fail. It has been conjectured that first-order methods can tolerate a value of $ρ$ no larger than $\frac{1}{L}$, but existing results in the literature have stagnated at the tighter requirement $ρ< \frac{1}{2L}$. With a simple argument, we obtain optimal or best-known complexity guarantees with cohypomonotonicity or weak MVI conditions for $ρ< \frac{1}{L}$. First main insight for the improvements in the convergence analyses is to harness the recently proposed $\textit{conic nonexpansiveness}$ property of operators. Second, we provide a refined analysis for inexact Halpern iteration that relaxes the required inexactness level to improve some state-of-the-art complexity results even for constrained stochastic convex-concave min-max problems. Third, we analyze a stochastic inexact Krasnosel'ski\uı-Mann iteration with a multilevel Monte Carlo estimator when the assumptions only hold with respect to a solution.
Supplementary document for All-fiber multifunction differential absorption CO2 lidar integrating single-photon and coherent detection - 6831899.pdf
Creators: name: Qiang, Wei
name: Wang, Chong
name: Wang, Yu
name: Jiang, Yifan
name: Li, Yudie
name: Xue, Xianghui
name: Dou, Xiankang
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: 1.Wind speed accuracy verification experiment
Supplementary document for All-fiber multifunction differential absorption CO2 lidar integrating single-photon and coherent detection - 6831899.pdf
Creators: name: Qiang, Wei
name: Wang, Chong
name: Wang, Yu
name: Jiang, Yifan
name: Li, Yudie
name: Xue, Xianghui
name: Dou, Xiankang
Publisher: name: Optica Publishing Group
Year: 2024
Subjects: Uncategorized

description: 1.Wind speed accuracy verification experiment
Topological Properties of Single-Particle States Decaying into a Continuum due to Interaction
Creators: name: Hawashin, B.
name: Sirker, J.
name: Uhrig, G. S.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Other Condensed Matter (cond-mat.other)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We investigate how topological Chern numbers can be defined when single-particle states hybridize with continua. We do so exemplarily in a bosonic Haldane model at zero temperature with an additional on-site decay of one boson into two and the conjugate fusion of two bosons into one. Restricting the Hilbert space to two bosons at maximum, the exact self-energy is accessible. We use the bilinear Hamiltonian $H_0$ corrected by the self-energy $Σ$ to compute Chern numbers by two different approaches. The results are gauged against a full many-body calculation in the Hilbert space where possible. We establish numerically and analytically that the effective Hamiltonian $H_\text{eff}=H_0(\vec k) +Σ(ω,\vec k)$ reproduces the correct many-body topology if the considered band does not overlap with the continuum. In case of overlaps, one can extend the definition of the Chern number to the non-Hermitian $H_\text{eff}$ and there is evidence that the Chern number changes at exceptional points. But the bulk-boundary correspondence appears to be no longer valid and edge modes delocalize.
description: 14 pages including the supplement, 12 figures
Supplementary document for The Origination of Chiroptical Effect in Plasmonic Nano-Structures in the View of Quasi-Normal Mode Theory - 6832026.pdf
Creators: name: Zhou, Jie
name: Huang, Shanshan
name: Peng, Jialong
name: Hou, Yidong
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplemental information