cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
sj-pdf-1-trj-10.1177_00405175221145571 - Supplemental material for An image processing and machine learning solution to automate Egyptian cotton lint grading
Creators: name: Fisher, Oliver J
name: Rady, Ahmed
name: El-Banna, Aly AA
name: Watson, Nicholas J
name: Emaish, Haitham H
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental material, sj-pdf-1-trj-10.1177_00405175221145571 for An image processing and machine learning solution to automate Egyptian cotton lint grading by Oliver J Fisher, Ahmed Rady, Aly AA El-Banna, Nicholas J Watson and Haitham H Emaish in Textile Research Journal
Improving Constraint on $Ω_{m}$ from SDSS Using Marked Correlation Functions
Creators: name: Lai, L. M.
name: Ding, J. C.
name: Luo, X. L.
name: Yang, Y. Z.
name: Wang, Z. H.
name: Liu, K. S.
name: Liu, G. F.
name: Wang, X.
name: Zheng, Y.
name: Li, Z. Y.
name: Zhang, L.
name: Li, X. D.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Large-scale structure (LSS) surveys will increasingly provide stringent constraints on our cosmological models. Recently, the density-marked correlation function (MCF) has been introduced, offering an easily computable density-correlation statistic. Simulations have demonstrated that MCFs offer additional, independent constraints on cosmological models beyond the standard two-point correlation (2PCF). In this study, we apply MCFs for the first time to SDSS CMASS data, aiming to investigate the statistical information regarding clustering and anisotropy properties in the Universe and assess the performance of various weighting schemes in MCFs. Upon analyzing the CMASS data, we observe that, by combining different weights ($α= [-0.2, 0, 0.2, 0.6]$), the MCFs provide a tight and independent constraint on the cosmological parameter $Ω_m$, yielding $Ω_m = 0.293 \pm0.006$ at the $1σ$ level, which represents a significant reduction in the statistical error by a factor of 3.4 compared to that from 2PCF. Our constraint is consistent with recent findings from the small-scale clustering of BOSS galaxies \cite{arXiv:2203.08999v2} within the 1$σ$ level. However, we also find that our estimate is lower than the Planck measurements by about 2.6$σ$, indicating the potential presence of new physics beyond the standard cosmological model if all the systematics are fully corrected. The method outlined in this study can be extended to other surveys and datasets, allowing for the constraint of other cosmological parameters. Additionally, it serves as a valuable tool for forthcoming emulator analysis on the Chinese Space Station Telescope (CSST).
description: 16 pages, 10 figures
Decay and Fission of Magnetic Quivers
Creators: name: Bourget, Antoine
name: Sperling, Marcus
name: Zhong, Zhenghao
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In exploring supersymmetric theories with 8 supercharges, the Higgs branches present an intriguing window into strong coupling dynamics. Magnetic quivers serve as crucial tools for understanding these branches. Here, we introduce the decay and fission algorithm for unitary magnetic quivers. It efficiently derives complete phase diagrams (Hasse diagrams) through convex linear algebra. It allows magnetic quivers to undergo decay or fission, reflecting Higgs branch RG-flows in the theory. Importantly, the algorithm generates magnetic quivers for the RG fixed points and simplifies the understanding of transverse slice geometry with no need for a list of minimal transitions. In contrast, the algorithm hints to the existence of a new minimal transition, whose geometry and physics needs to be explored.
description: v2: 5 pages + references, published PRL version
Additional file 2 of Factors associated with incomplete adherence to integrase strand transfer inhibitor-containing single-tablet regimen among Japanese people living with HIV
Creators: name: Kunimoto, Yusuke
name: Hikasa, Shinichi
name: Ishihara, Masashi
name: Tsukiji, Mariko
name: Nobori, Kazuko
name: Kimura, Takeshi
name: Onishi, Kenta
name: Yamamoto, Yuuki
name: Haruta, Kyohei
name: Kasiwabara, Yohei
name: Fujii, Kenji
name: Fukudo, Masahide
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 2: Supplemental Table S1. Antiretroviral therapy regimens included in the study. Supplemental Table S2. Comparison of PLWH with complete and incomplete ART adherence and their future ARV preferences.
sj-pdf-1-jag-10.1177_07334648221105266 – Supplemental Material for Working With Older Adults in Integrated Health Care: Social Workers’ Perspective
Creators: name: Weng, Suzie S.
name: Valenzuela, Jessica
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: 110308 Geriatrics and Gerontology
subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Supplemental Material, sj-pdf-1-jag-10.1177_07334648221105266 for Working With Older Adults in Integrated Health Care: Social Workers’ Perspective by Suzie S. Weng and Jessica Valenzuela in Journal of Applied Gerontology
Massive star cluster formation I. High star formation efficiency while resolving feedback of individual stars
Creators: name: Polak, Brooke
name: Mac Low, Mordecai-Mark
name: Klessen, Ralf S.
name: Teh, Jia Wei
name: Cournoyer-Cloutier, Claude
name: Andersson, Eric P.
name: Appel, Sabrina M.
name: Tran, Aaron
name: Lewis, Sean C.
name: Wilhelm, Maite J. C.
name: Zwart, Simon Portegies
name: Glover, Simon C. O.
name: Wang, Long
name: McMillan, Stephen L. W.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The mode of star formation that results in the formation of globular clusters and young massive clusters is difficult to constrain through observations. We present models of massive star cluster formation using the Torch framework, which uses AMUSE to couple distinct multi-physics codes that handle star formation, stellar evolution and dynamics, radiative transfer, and magnetohydrodynamics. We upgrade Torch by implementing the N-body code PeTar, thereby enabling Torch to handle massive clusters forming from $10^6\rm\, M_\odot$ clouds with $\ge10^5$ individual stars. We present results from Torch simulations of star clusters forming from $10^4, 10^5$, and $10^6\rm M_\odot$ turbulent, spherical gas clouds (named M4, M5, M6) of radius $R=11.7$ pc. We find that star formation is highly efficient and becomes more so at higher cloud mass and surface density. For M4, M5, and M6 with initial surface densities $2.325\times 10^{1,2,3}\rm\, M_\odot\, pc^{-2}$, after a free-fall time of $t_{ff}=6.7,2.1,0.67$ Myr, we find that $\sim$30%, 40%, and 60% of the cloud mass has formed into stars, respectively. The final integrated star formation efficiency is 32%, 65%, and 85% for M4, M5, and M6. Observations of nearby clusters similar to M4 have similar integrated star formation efficiencies of $\leq$30%. The M5 and M6 models represent a different regime of cluster formation that is more appropriate for the conditions in starburst galaxies and gas-rich galaxies at high redshift, and that leads to a significantly higher efficiency of star formation. We argue that young massive clusters build up through short efficient bursts of star formation in regions that are sufficiently dense ($\ge 10^2 \rm\,M_\odot\,pc^{-2}$) and massive ($\ge10^5\rm\, M_\odot$). In such environments, the dynamical time of the cloud becomes short enough that stellar feedback cannot act quickly enough to slow star formation.
description: Published in A&A
Additional file 1 of Colorectal cancer microbiome programs DNA methylation of host cells by affecting methyl donor metabolism
Creators: name: Liu, Zhi
name: Zhang, Qingqing
name: Zhang, Hong
name: Yi, Zhongyuan
name: Ma, Huihui
name: Wang, Xiaoyi
name: Wang, Jingjing
name: Liu, Yang
name: Zheng, Yi
name: Fang, Weijia
name: Huang, Ping
name: Liu, Xingyin
Publisher: name: figshare
Year: 2024
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics

description: Additional file 1: Fig. S1. Study overview. Fig. S2. The alpha diversity of fecal microbiome derived from CRC patients and healthy controls. Fig. S3. The alpha diversity of tissue microbiome derived from tumor and tumor-adjacent normal tissues. Fig. S4. DNA Methylaiton and taxa-methylation associations in TCGA-CRC cohort. Fig. S5. The differential gene expression of EXO1 between normal and CRC samples. Fig. S6. Interactions between microbes and noncoding DNA methylation. Fig. S7. The gene expression of DNMTs between tumor and normal tissues across TCGA cohort. Fig. S8. The gene expression of TETs between tumor and normal tissues across TCGA cohort.
title: "Demands most moderate"
title: Activism, hope, and resilience to minority stress
titleType: Subtitle
Creators: name: Keiser, Gregory Hans
Publisher: name: Washington State University
Year: 2023

description: Minority populations in the United States face a wide array of sources of minority stress, including systemic factors such as hostile or discriminatory policies, laws, and climates. In response to these stressors, minority individuals may engage in forms of group-level coping, including collective action and activism to address structural oppression and discrimination. However, despite research on the buffering effects of activism against minority stress, substantial limitations remain in our empirical understanding of these relationships. The present research assessed activism behaviors broadly across individuals from all minority groups (e.g., sexual, gender, ethnic, and religious minorities) and evaluated the relationships among discrimination, activism, hope, and psychological distress. Activism correlated positively with both discrimination and distress, and partial correlations demonstrated a positive relationship between activism and hope, controlling for discrimination. The positive relationship between activism and distress was no longer significant when controlling for discrimination. Neither activism nor hope buffered the discrimination-distress link. Analyses revealed a significant interaction between activism and hope: greater activism was associated with higher distress only in the low-hope group. This research may fill important gaps in the empirical understanding of the relationships among activism, discrimination, distress, and hope. Results may suggest that activism motivated by expectations of change is protective compared to activism motivated by a sense of desperation. These findings may guide future research on activism among minority populations, as well as mental health interventions with minority groups highly engaged with activism.
title: Optischer 3D-Scanner zur Patientenpositionierung in der Strahlentherapie
Creators: name: Weichenberger, Harald
Year: 2010

description: In der Radiotherapie stellt die genaue Patientenpositionierung ein wichtiges Kriterium für einen guten Behandlungserfolg dar. Mit dem in dieser Arbeit beschriebenem Projekt ist es möglich die Körperoberfläche eines Patienten optisch in wenigen Sekunden an 10000 Punkten zu vermessen und zu digitalisieren. Dies wurde durch die Verwendung des Graycode-Verfahrens mit anschließendem Phaseschiebeverfahren realisiert. Die notwendige Hardware beschränkt sich dabei auf zwei standard Videobeamer, zwei Kameras mit Framegrabberkarten, so wie zwei PCs. Eine Kalibrierung des Systems kann mit dem integrierten Kalibrieralgorithmus in wenigen Minuten durchgeführt werden. Hierbei werden die Kameras und Videobeamer getrennt kalibriert, was den Vorteil hat, dass die Beamer auch eigenständig zur Projektion von Informationen genutzt werden können. Zur Visualisierung und Korrektur von Lageabweichungen ist es möglich, mehrere Scans miteinander zu vergleichen. Ein spezieller Scanmodus ermöglicht die Erfassung der Körperoberfläche fünf mal je Sekunde, mit reduzierter Datendichte. Mittels dieses “Fast-Scans” sollen zukünftig Gating- und Trackinganwendungen realisiert werden.
description: In radiotherapy the precise patient positioning is an important criterion for a good treatment success. This paper describes a method of optical measuring the surface of a human body at 10000 points and to digitalizes them in some seconds. This has been achieved through the use of graycode - procedure, followed by a phase shift – procedure. The necessary hardware for these are two standard video projectors, two cameras with frame grabber card, as well as two personal computers. A calibration of the system can be done with the implemented calibration algorithm within a few minutes. Here the cameras and video projectors are calibrated separately, which gives the advantage that the projectors can also be used independently for the projection of information. For visualization and correction of position deviations, it is possible to compare several scans. A special scan mode allows the capture of the body surface five times per second with a reduced data density. Using this fast scan, gating and tracking applications can be realized in the future.
Krylov complexity for non-local spin chains
Creators: name: Bhattacharya, Aranya
name: Nath, Pingal Pratyush
name: Sahu, Himanshu
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Building upon recent research in spin systems with non-local interactions, this study investigates operator growth using the Krylov complexity in different non-local versions of the Ising model. We find that the non-locality results in a faster scrambling of the operator to all sites. While the saturation value of Krylov complexity of local integrable and local chaotic theories differ by a significant margin, this difference is much suppressed when non-local terms are introduced in both regimes. This results from the faster scrambling of information in the presence of non-locality. In addition, we investigate the behavior of level statistics and spectral form factor as probes of quantum chaos to study the integrability breaking due to non-local interactions. Our numerics indicate that in the non-local case, late time saturation of Krylov complexity distinguishes between different underlying theories, while the early time complexity growth distinguishes different degrees of non-locality.
description: Author accepted manuscript, matches published version
title: Der aktuelle Status der deutschen Sprache in Siebenbürgen am Beispiel Hermannstadts
Creators: name: Tǎnase, Flavia Octavia
Year: 2010

description: In der vorliegenden Arbeit geht es hauptsächlich um den Status der deutschen Sprache in Hermannstadt. Untersucht wurde die aktuelle Bedeutung des Deutschen vor dem Hintergrund der großen Auswanderungswelle in den 90er Jahren und der immer größeren Rolle der EU.
Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges: A Review
Creators: name: Su, Hanqi
name: Lee, Jay
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: In the field of Prognostics and Health Management (PHM), recent years have witnessed a significant surge in the application of machine learning (ML). Despite this growth, the field grapples with a lack of unified guidelines and systematic approaches for effectively implementing these ML techniques and comprehensive analysis regarding industrial open-source data across varied scenarios. To address these gaps, this paper provides a comprehensive review of ML approaches for diagnostics and prognostics of industrial systems using open-source datasets from PHM Data Challenge Competitions held between 2018 and 2023 by PHM Society and IEEE Reliability Society and summarizes a unified ML framework. This review systematically categorizes and scrutinizes the problems, challenges, methodologies, and advancements demonstrated in these competitions, highlighting the evolving role of both conventional machine learning and deep learning in tackling complex industrial tasks related to detection, diagnosis, assessment, and prognosis. Moreover, this paper delves into the common challenges in PHM data challenge competitions by emphasizing data-related and model-related issues and evaluating the limitations of these competitions. The potential solutions to address these challenges are also summarized. Finally, we identify key themes and potential directions for future research, providing opportunities and prospects for next-generation ML-PHM development in PHM domain.
description: The paper submitted to the International Journal of Prognostics and Health Management (IJPHM) has been accepted
sj-docx-1-smo-10.1177_20503121221143219 – Supplemental material for Satisfaction with preoperative education and surgical services among adults elective surgical patients at selected public hospitals in Addis Ababa, Ethiopia
Creators: name: Deressa, Dereje
name: Gebreyohannis, Tigistu
name: Boka, Abdisa
name: Geneti, Yomilan
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110599 Dentistry not elsewhere classified
subject: FOS: Clinical medicine
subject: 110305 Emergency Medicine
subject: 110306 Endocrinology
subject: 110308 Geriatrics and Gerontology
subject: 110904 Neurology and Neuromuscular Diseases
subject: 111099 Nursing not elsewhere classified
subject: 111199 Nutrition and Dietetics not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 110314 Orthopaedics
subject: 110604 Sports Medicine
subject: 110315 Otorhinolaryngology
subject: 111702 Aged Health Care
subject: 111403 Paediatrics
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 110203 Respiratory Diseases
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: 110323 Surgery
subject: 70706 Veterinary Medicine
subject: FOS: Veterinary sciences

description: Supplemental material, sj-docx-1-smo-10.1177_20503121221143219 for Satisfaction with preoperative education and surgical services among adults elective surgical patients at selected public hospitals in Addis Ababa, Ethiopia by Dereje Deressa, Tigistu Gebreyohannis, Abdisa Boka and Yomilan Geneti in SAGE Open Medicine
Von Neumann entropy of the angle operator between a pair of intermediate subalgebras
Creators: name: Bakshi, Keshab Chandra
name: Guin, Satyajit
name: Pal, Biplab
Publisher: name: arXiv
Year: 2024
Subjects: subject: Operator Algebras (math.OA)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 46L37, 47L40, 46L05, 43A30, 94A15

description: Given a pair of intermediate $C^*$-subalgebras of a unital inclusion of simple $C^*$-algebras with a conditional expectation of finite Watatani index, we discuss the corresponding angle operator and its Fourier transform. We provide a calculable formula for the von Neumann entropy of the (Fourier) dual angle operator for a large class of quadruple of simple $C^*$-algebras.
Strong and Highly Switchable Soft Sticky Adhesives
Creators: name: Yin, Qianfeng
name: Manav, Yilmaz Arin
name: Wan, Yichen
name: Davaji, Benyamin
name: Bai, Ruobing
Publisher: name: arXiv
Year: 2024
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Many biological systems can form strong adhesion to various materials with complex shapes. The adhesion is further switchable between strongly adhering and completely non-adhering in a simple and fast manner. By contrast, no engineering system has yet achieved the same robust adherence and switching. This limitation severely hinders the advancement of several emerging technologies including biomimetic robots, assembly-based manufacturing, precision medicine, wearable and implantable devices, as well as on-demand material dismantling and recycling for sustainability. Here we present a design approach for strong and highly switchable adhesion by synergizing the surface stickiness, bulk energy dissipation, and stimuli-responsive polymer chains in a thermo-switchable soft sticky adhesive. The adhesive has a high adhesion strength of about 80 kPa with diverse materials at room temperature. The adhesion is highly switchable to near-vanishing (about 0.6 kPa) at an elevated temperature due to the thermo-responsive surface polymer chain retraction. This adhesion switching is reversible and repeatable for many cycles, enabling selective pick-and-release of objects with various materials, shapes, sizes, and weights. The switching time is around 10 s with an adhesive layer of 1 mm, governed by thermal conduction through the adhesive, faster than or comparable to most state-of-the-art methods. The adhesive is self-healing, and can be recycled, dried, stored, reswollen, and reused with nearly intact adhesion and switching properties. The synergistic design combining strong adhesion and stimuli-responsive switching can be potentially extended to various polymer systems, and further enhanced by optimized surface architectures.
description: Submitted manuscript
Spin-1/2 kagome Heisenberg antiferromagnet: Machine learning discovery of the spinon pair density wave ground state
Creators: name: Duric, Tanja
name: Chung, Jia Hui
name: Yang, Bo
name: Sengupta, Pinaki
Publisher: name: arXiv
Year: 2024
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Spin-1/2 kagome antiferromagnet (AFM) is one of the most studied models in frustrated magnetism since it is a promising candidate to host exotic spin liquid states. However, despite numerous studies using both analytical and numerical approaches, the nature of the ground state and low-energy excitations in this system remain elusive. This is related to the difficulty in determining the spin gap in various calculations. We present the results of our investigation of the Kagome AFM using the recently developed group equivariant convolutional neural networks, a novel machine learning technique for studying strongly frustrated models. The approach, combined with variational Monte Carlo, introduces significant improvement of the achievable results accuracy for frustrated spin systems in comparison with approaches based on other neural network architectures. Contrary to the results obtained previously with various methods, that predicted $Z_2$ or U(1) Dirac spin liquid states, our results strongly indicate that the ground state of the kagome lattice antiferromagnet is a spinon pair density wave that does not break time-reversal symmetry or any of the lattice symmetries. The found state appears due to the spinon Cooper pairing instability close to two Dirac points in the spinon energy spectrum and resembles the pair density wave state studied previously in the context of underdoped cuprate superconductors in connection with the pseudogap phase. The state has significantly lower energy than the lowest energy states found by the SU(2) symmetric density matrix renormalization group calculations and other methods.
description: 16 pages, 12 figures, comments welcome
sj-docx-2-hpq-10.1177_13591053221140805 – Supplemental material for Understanding the relationship between sleep and quality of life in type 2 diabetes: A systematic review of the literature
Creators: name: Laverty, Bróna
name: Puthezhath Jayanandan, Sreelakshmi
name: Smyth, Sinéad
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine
subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-docx-2-hpq-10.1177_13591053221140805 for Understanding the relationship between sleep and quality of life in type 2 diabetes: A systematic review of the literature by Bróna Laverty, Sreelakshmi Puthezhath Jayanandan and Sinéad Smyth in Journal of Health Psychology
EXTRACELLULAR MATRIX IN MUSCLE REGENERATION, ADIPOSE TISSUE FUNCTION AND MEAT QUALITY
Creators: name: Liu, Xiangdong
Publisher: name: Washington State University
Year: 2023

description: Extracellular matrix (ECM) is an important constituent of tissues and organs. However, abundant ECM deposition leads to fibrosis. Obesity has become a pandemic around the world, which results in serious diseases, including fibrosis of muscle and adipose tissue. The skeletal muscle and adipose tissue fibrosis is closely correlated with metabolic dysfunction. Additionally, the content and structure of ECM affect the meat tenderness, a main determinant of meat quality. A better understanding of the mechanism in which ECM development and accumulation is necessary for the development of therapeutic for obesity-associated metabolic dysfunctions and meat quality improvement. In this dissertation, three studies are included: (1) AMP-activated protein kinase (AMPK) is a potent inhibitor of fibrosis, which is down-regulated due to obesity. Our data showed that AMPK deletion in fibrotic/adipogenic progenitors (FAPs) impaired muscle regeneration with increased fibrosis. AMPKα1 knockout in FAPs enhanced p65 translocation to nuclei, which increased the expression of MMP-9. MMP-9 cleaved latent-TGF-β, releasing active TGF-β. Active TGF-β elevated the apoptosis-resistance and fibrotic commitment of FAPs, resulting in fibrosis of regenerated muscle. (2) Lysyl oxidase (LOX), a key enzyme catalyzing collagen cross-linking. AMPK regulates LOX via suppressing TGF-β/SMADs signaling. We found that obesity increased mature nonreducible collagen cross-linking in white adipose tissue (WAT) of mice, which is positively associated with insulin resistance. In addition, enhanced TGF-β due to inactivation of AMPK under the obese condition promoted phosphorylation of SMAD3, the expression of LOX and other fibrogenic genes in white adipose tissue. Moreover, in vivo, AMPK activation suppressed TGF-β1-induced LOX expression and fibrosis. (3) The late gestation is critical for intramuscular fat and connective tissue development, therefore, maternal diet during this stage has an important effect on the offspring beef quality. Besides, breed is another player of meat quality. We tested the effect of breed, Angus versus Wagyu, and dietary protein levels of cows during the late gestation on the offspring beef quality. Our results showed that a mild restriction of protein diet during late gestation had no major effect on beef quality. Furthermore, Wagyu- sired cattle had higher tenderness, marbling score, and less collagen cross-linking products than Angus- sired cattle.
Additional file 1 of The draft genome of Nitzschia closterium f. minutissima and transcriptome analysis reveals novel insights into diatom biosilicification
Creators: name: Li, Yajun
name: He, Jinman
name: Zhang, Xiuxia
name: Deng, Xiaodong
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Supplementary Material 1
Recursively Feasible Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty
Creators: name: Ren, Kai
name: Chen, Colin
name: Sung, Hyeontae
name: Ahn, Heejin
name: Mitchell, Ian
name: Kamgarpour, Maryam
Publisher: name: arXiv
Year: 2024
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We present a chance-constrained model predictive control (MPC) framework under Gaussian mixture model (GMM) uncertainty. Specifically, we consider the uncertainty that arises from predicting future behaviors of moving obstacles, which may exhibit multiple modes (for example, turning left or right). To address the multi-modal uncertainty distribution, we propose three MPC formulations: nominal chance-constrained planning, robust chance-constrained planning, and contingency planning. We prove that closed-loop trajectories generated by the three planners are safe. The approaches differ in conservativeness and performance guarantee. In particular, the robust chance-constrained planner is recursively feasible under certain assumptions on the propagation of prediction uncertainty. On the other hand, the contingency planner generates a less conservative closed-loop trajectory than the nominal planner. We validate our planners using state-of-the-art trajectory prediction algorithms in autonomous driving simulators.
description: Published in IEEE Transactions on Control Systems Technology SI: Intelligent Decision Making, Planning and Control of Automated Vehicles
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Creators: name: Wang, Chenyang
name: Jiang, Junjun
name: Hu, Xingyu
name: Liu, Xianming
name: Ji, Xiangyang
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Deep learning systems are prone to catastrophic forgetting when learning from a sequence of tasks, as old data from previous tasks is unavailable when learning a new task. To address this, some methods propose replaying data from previous tasks during new task learning, typically using extra memory to store replay data. However, it is not expected in practice due to memory constraints and data privacy issues. Instead, data-free replay methods invert samples from the classification model. While effective, these methods face inconsistencies between inverted and real training data, overlooked in recent works. To that effect, we propose to measure the data consistency quantitatively by some simplification and assumptions. Using this measurement, we gain insight to develop a novel loss function that reduces inconsistency. Specifically, the loss minimizes the KL divergence between distributions of inverted and real data under a tied multivariate Gaussian assumption, which is simple to implement in continual learning. Additionally, we observe that old class weight norms decrease continually as learning progresses. We analyze the reasons and propose a regularization term to balance class weights, making old class samples more distinguishable. To conclude, we introduce Consistency-enhanced data replay with a Debiased classifier for class incremental learning (CwD). Extensive experiments on CIFAR-100, Tiny-ImageNet, and ImageNet100 show consistently improved performance of CwD compared to previous approaches.
description: The paper is accepted as a regular paper of Neural Networks. See the published version in https://www.sciencedirect.com/science/article/pii/S0893608024009821
A proposal: physician as a critical thinker
Creators: name: Domina Petric
Publisher: name: Zenodo
Year: 2022
Subjects: critical thinking
evidence based medicine

description: In addition to the roles that physician must accomplish, which are defined by CanMEDS (medical expert, communicator, collaborator, leader, health advocate, scholar, professional), I would like to propose another important role, and that is of a critical thinker. The aim of training a physician as an independent critical thinker is critical evaluation and interpretation of the available scientific and clinical literature as well as encouraging physicians to be able to identify a problem and propose a possible solution without fear for retaliation or censorship. Competencies related to the role of a critical thinker are general medical knowledge and skills as well as medical knowledge and skills specific to the field of expertise (overlaps with medical expert role); basic or advanced skills related to evidence based medicine (correct interpretation of journal articles, clinical trials, scientific and clinical guidelines); basics of biostatistics (in order to be able to interpret the results of a trial); and finally, knowledge of bioethics and basic knowledge of medical law (both national and international).
Higgs branch RG-flows via Decay and Fission
Creators: name: Bourget, Antoine
name: Sperling, Marcus
name: Zhong, Zhenghao
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: Algebraic Geometry (math.AG)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: Magnetic quivers have been an instrumental technique for advancing our understanding of Higgs branches of supersymmetric theories with 8 supercharges. In this work, we present the decay and fission algorithm for unitary magnetic quivers. It enables the derivation of the complete phase (Hasse) diagram and is characterised by the following key attributes: First and foremost, the algorithm is inherently simple; just relying on convex linear algebra. Second, any magnetic quiver can only undergo decay or fission processes; these reflect the possible Higgs branch RG-flows (Higgsings), and the quivers thereby generated are the magnetic quivers of the new RG fixed points. Third, the geometry of the decay or fission transition (i.e. the transverse slice) is simply read off. As a consequence, the algorithm does not rely on a complete list of minimal transitions, but rather outputs the transverse slice geometry automatically. As a proof of concept, its efficacy is showcased across various scenarios, encompassing SCFTs from dimensions 3 to 6, instanton moduli spaces, and little string theories.
description: 51 pages; v.3 matches PRD published version
Online interactions, peer relations, and youth's well-being
Creators: name: Beullens, Kathleen
name: Vanherle, Robyn
Publisher: name: OSF Registries
Year: 2024
Subjects: subject: Communication
subject: Social and Behavioral Sciences
subject: Peer relations
subject: social media
subject: well-being

description: Research has shown that youth nowadays increasingly turn to social networking sites to formulate and maintain peer relationships. These online interactions, however, look quite different from offline interactions (e.g., absence of visual cues), thereby raising the question of whether this is beneficial or detrimental to youth’s peer relationships. This is an important question because peer interactions have been proven to serve as a buffer (when being high quality) or risk factor (when being low quality) for youth’s mental health. The aim of the current project is therefore to 1) grasp how the use of social networking sites transforms peer relationships, 2) examine under which conditions these transformations are positive or negative for youth’s peer relationships and mental health, and 3) unravel developmental differences in these associations (adolescents vs. emerging adults). These aims will be reached by implementing a mixed-method design, consisting of qualitative focus group interviews and a quantitative experience sampling study.
Additional file 1 of Isoflurane-induced neuroinflammation and NKCC1/KCC2 dysregulation result in long-term cognitive disorder in neonatal mice
Creators: name: Xu, Dongni
name: Liu, Jiayi
name: Meng, Shiyu
name: Sun, Meixian
name: Chen, Yuqing
name: Hong, Yu
Publisher: name: figshare
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences

description: Supplementary Material 1
title: Lebensqualität - Vergleich zweier Lebensqualitätsfragebögen anhand unterschiedlicher Behandlungsmethoden
Creators: name: Posselt, Manuela
Year: 2010

description: Diese Arbeit befaßt sich mit der Erfassung von Lebensqualität mit Hilfe von Lebensqualitätsfragebögen. Hierfür wurde der standardisierte Fragebogen SF-36 mit dem neueren Fragebogen HLQ verglichen. Als Grundlage dienen Daten die bei einer Studie zur Behandlung von vulvovaginalen Infektionen erhoben wurden. Bei dieser Studie wurden zwei unterschiedliche Therapieformen zum Einsatz gebracht, sowohl eine rein schulmedizinische Behandlung als auch die alternative Behandlungs- methode Homöopathie. Dieser Umstand machte eine weitere Überprüfung des HLQ möglich, da er vor allem deshalb entwickelt worden war um mit ihm ein sensibleres Meßinstrument für Veränderungen der Lebensqualität durch alternative Behandlungsmethoden zur Verfügung zu haben. Der Vergleich dieser beiden Fragebögen zeigt eine deutliche qualitative Überlegen- heit des SF-36 gegenüber dem HLQ. Die Kategorien/Dimensionen/Faktoren des SF-36 sind trotz des sehr spezifischen Themas der Studie und der dadurch sehr eingegrenzen Probandengruppe relativ deutlich voneinander abgegrenzt. Beim HLQ läßt sich keine aussagekräftige Abgrenzung seiner Kategorien/ Dimensionen/Faktoren feststellen. Die Auswertung der Tendenzanalyse, welche die Veränderungen der Befindlichkeiten über die Dauer der Behandlung erfaßt zeigt bei beiden Therapiemethoden einen ähnlichen Verlauf. Einige Fragen des HLQ konnten allerdings in der Tendenzanalyse zeigen, daß durch den SF-36 bestimmte Bereiche der Lebensqualität nicht abgefragt werden, die offensichtlich nur durch alternative Behandlungsmethoden verändert werden und durch herkömmliche schulmedizinische Therapiemethoden scheinbar unberührt bleiben. Aufgrund dieser Erkenntnis wäre eine völlige Neuüberarbeitung des HLQ unter Einbeziehung einer Expertengruppe, bestehend aus alternativ-medizinisch arbeitenden Ärzten und Therapeuten, wünschenswert. Des weiteren ist es notwendig einen neuen, qualitativ hochwertigen Fragebogen zur Erfassung von Lebensqualität nicht nur an einer großen Anzahl an Probanden und Patienten zu überprüfen, sondern auch durch den Einsatz in Längsschnittstudien zu verifizieren.
sj-pdf-1-eso-10.1177_23969873221143210 – Supplemental material for Timing and causes of death after endovascular thrombectomy in patients with acute ischemic stroke
Creators: name: Sluis, Wouter M
name: Hinsenveld, Wouter H
name: Goldhoorn, Robert-Jan B
name: Potters, Lianne H
name: Bruggeman, Agnetha AE
name: van der Hoorn, Anouk
name: Bot, Joseph CJ
name: van Oostenbrugge, Robert J
name: Lingsma, Hester F
name: Hofmeijer, Jeannette
name: van Zwam, Wim H
name: BLM Majoie, Charles
name: Bart van der Worp, H
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: Cardiology
subject: Medicine
subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine

description: Supplemental material, sj-pdf-1-eso-10.1177_23969873221143210 for Timing and causes of death after endovascular thrombectomy in patients with acute ischemic stroke by Wouter M Sluis, Wouter H Hinsenveld, Robert-Jan B Goldhoorn, Lianne H Potters, Agnetha AE Bruggeman, Anouk van der Hoorn, Joseph CJ Bot, Robert J van Oostenbrugge, Hester F Lingsma, Jeannette Hofmeijer, Wim H van Zwam, Charles BLM Majoie and H Bart van der Worp in European Stroke Journal
Adaptive Kalman-Informed Transformer
Creators: name: Cohen, Nadav
name: Klein, Itzik
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
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: The extended Kalman filter (EKF) is a widely adopted method for sensor fusion in navigation applications. A crucial aspect of the EKF is the online determination of the process noise covariance matrix reflecting the model uncertainty. While common EKF implementation assumes a constant process noise, in real-world scenarios, the process noise varies, leading to inaccuracies in the estimated state and potentially causing the filter to diverge. Model-based adaptive EKF methods were proposed and demonstrated performance improvements to cope with such situations, highlighting the need for a robust adaptive approach. In this paper, we derive an adaptive Kalman-informed transformer (A-KIT) designed to learn the varying process noise covariance online. Built upon the foundations of the EKF, A-KIT utilizes the well-known capabilities of set transformers, including inherent noise reduction and the ability to capture nonlinear behavior in the data. This approach is suitable for any application involving the EKF. In a case study, we demonstrate the effectiveness of A-KIT in nonlinear fusion between a Doppler velocity log and inertial sensors. This is accomplished using real data recorded from sensors mounted on an autonomous underwater vehicle operating in the Mediterranean Sea. We show that A-KIT outperforms the conventional EKF by more than 49.5% and model-based adaptive EKF by an average of 35.4% in terms of position accuracy.
PARAMETER ESTIMATION FOR PARTICLE TRANSPORT ACROSS BLOOD BRAIN BARRIER USING MACHINE LEARNING
Creators: name: Khan, Aminul Islam
Publisher: name: Washington State University
Year: 2023
Subjects: Bayesian Inference
Blood Brain Barrier
Drug Delivery
Inverse Method
Iron Transport
Machine Learning

description: Blood-brain barrier (BBB) is a unique structure in the central nervous system (CNS) that protects the brain from blood borne pathogens. Despites the protection of BBB, millions of people throughout the world are suffering from neurodegenerative disorders such as Alzheimer’s, Parkinson’s etc. In most cases, accumulation of excessive iron in the brain has been identified as the initiator of those diseases. However, why, and how excessive irons accumulate in the brain is still unknown. Therefore, in this dissertation, first, we explored the iron transport mechanism across the BBB under healthy and diseased conditions with mathematical models. Since mass action-based mathematical models are governed by various kinetic rates, in all models, we need to solve an inverse problem to find the kinetic parameters. Therefore, in this dissertation, we also explored various inverse techniques, which include least square methods, Bayesian inference, and artificial neural network decomposition. With experiments guided mathematical model, we have shown that, in healthy condition, transferrin and its receptors control the iron transport; while, in diseased conditions, lactoferrin and its receptors regulate the iron transport. Our results also show that a surge in lactoferrin receptor density increases the lactoferrin as well as iron in the brain. Since there is no feedback loop for lactoferrin, iron can transport to the brain continuously, which might increase brain iron to pathological levels and can contribute to neurodegeneration. Once the cause of neurodegeneration is known, we shift our focus to the cure of neurodegeneration. The biggest challenge for the treatment of neurodegeneration is the effective transport of therapeutics across BBB. We, therefore, developed a new drug carrier and studied its transport efficacy in an in-vitro BBB environment. Our model results indicate that exocytosis (exiting from BBB endothelium) of drug carrier is seven-fold slower than endocytosis (entering to BBB endothelium). This result suggests that that future studies should focus on enhancing the exocytosis process.
Supplemental Material - An illiberal welfare state emerging? Welfare efforts and trajectories under democratic backsliding in Hungary and Turkey
Creators: name: Szikra, Dorottya
name: Öktem, Kerem Gabriel
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 160607 International Relations
subject: FOS: Political science
subject: 160512 Social Policy

description: Supplemental Material for An illiberal welfare state emerging? Welfare efforts and trajectories under democratic backsliding in Hungary and Turkey by Dorottya Szikra, Kerem Gabriel Öktem in Journal of European Social Policy.
title: Stilfunktionen der Fremdwörter in der Sprache der Politik
Creators: name: Kadiric, Amra
Year: 2010

description: Diese Arbeit hatte zum Untersuchungsgegenstand die Stilfunktionen der Fremdwörter in der Sprache der Politik. Insgesamt wurden 53 Ausgaben der österreichischen Tageszeitungen KURIER, DER STANDARD, Krone Zeitung und Die Presse analysiert, genauer gesagt 95 Seiten.
MARKETS FOR ENERGY AND LOCAL FOOD
Creators: name: Mamadzhanov, Alisher
Publisher: name: Washington State University
Year: 2018
Subjects: Biofuels in Korea
Consumer preferences
Contingent valuation
Local oysters
Second-generation bioethanol
Willingness to pay
Environmental Economics

description: This dissertation investigates consumer preferences and willingness to pay (WTP) for renewable energy and local food in three separate papers. The first paper analyzes the results of a survey conducted in major Korean cities to estimate consumer preferences for second-generation lignocellulosic bioethanol. I use information treatments on positive effects of this type of advanced fuel on the environment, food prices, and fuel supply security and compare results with a group of respondents who don’t receive any information. Using a double-bounded dichotomous choice contingent valuation methodology, I find that consumers in Korea are willing to pay a premium over second-generation bioethanol compared to conventional fuel and that the mean premium is highest in the group treated with positive environmental information. The second paper focuses on comparative analysis of consumer preferences for second-generation ethanol in Korea and the United States. I estimate WTP for the product in the combined sample and separately for each country, and find that the mean premium for the second-generation ethanol was higher in the U.S. than in Korea. The results also suggest that attitudinal and demographic variables have unidirectional marginal effects on WTP in the two countries, while the magnitudes differ. Compared to the U.S. sample, the consumers from Korea were less responsive to positive information treatment. In the third paper, I analyze data from field experiments on various aspects of consumer demand for oysters to estimate WTP for locally harvested oysters in two distinct groups of respondents - local residents of Delaware and tourists. I find that consumers in both samples are less likely to purchase oysters if they are offered oysters of non-local origin and that their WTP for local oysters is higher than for oysters harvested more than 100 miles away. The price of the product, as expected, has a significant negative effect on the decision to purchase oysters, while the frequency of oyster consumption increases the likelihood of making a purchase. These papers provide new insights on how information treatments and consumer differentiation elicit consumer preferences for renewable energy and local food in new and established markets.
Additional file 2 of Isoflurane-induced neuroinflammation and NKCC1/KCC2 dysregulation result in long-term cognitive disorder in neonatal mice
Creators: name: Xu, Dongni
name: Liu, Jiayi
name: Meng, Shiyu
name: Sun, Meixian
name: Chen, Yuqing
name: Hong, Yu
Publisher: name: figshare
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences

description: Supplementary Material 2