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Serological surveillance for SArS-coV-2 antibodies among students,faculty and staff within a large university system during the pandemic

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World Journal of Virology 2025年第1期14卷 99-107页

作者： Marcos G Pinheiro Gabriela G O Alves Maria Eduarda r conde Sofia L costa regina c S Sant’Anna Isa M F Antunes Mônica c carneiro Fabio S ronzei Julia c Scaffo Felipe r Pinheiro Lialyz S Andre Helvecio c Povoa Valéria T Baltar Fabíola Giordani Eduarda S Hemerly Gisele c Alexandre Karla c de Paula Márcio Watanabe Antonio claudio L da Nóbrega Jackeline christiane P Lobato Fabio Aguiar-Alves Laboratory of Molecular Epidemiology and Biotechnology Rodolpho Albino University LaboratoryFluminense Federal UniversityNiterói 24241000Rio de JaneiroBrazil Estácio de SáUniversity Nova Friburgo 28611135Rio de JaneiroBrazil Pathology Program Medicine schoolFluminense Federal UniversityNiterói 24070090Rio de JaneiroBrazil Department of Pharmaceutical Sciences Lloyd L.Gregory School of PharmacyPalm Beach Atlantic UniversityWest Palm BeachFL 33401United States Health Institute of Nova Friburgo Fluminense Federal UniversityNova Friburgo 28613001Rio de JaneiroBrazil Department of Epidemiology and Biostatistics Institute of Collective Health(ISC)Fluminense Federal UniversityNiterói 24033900Rio de JaneiroBrazil Institute of Physical Education Fluminense Federal UniversityNiterói 24020005Rio de JaneiroBrazil Department of Statistics Fluminense Federal UniversityNiterói 24210200Rio de JaneiroBrazil Department of Physiology and Pharmacology Fluminense Federal UniversityNiterói 24210130Rio de JaneiroBrazil

BAcKGrOUND At the end of December 2019,the world faced severe acute respiratory syndrome-coronavirus 2(SArS-coV-2),which led to the outbreak of coronavirus disease 2019(cOVID-19),associated with respiratory *** virus has shown significant challenges,especially for senior citizens,patients with other underlying illnesses,or those with a sedentary *** tests conducted early on have helped identify how the virus is transmitted and how to curb its *** study hypothesis was that the rapid serological test for SArS-coV-2 antibodies could indicate the immunoreactive profile during the cOVID-19 pandemic in a university *** To conduct active surveillance for serological expression of anti-SArS-coV-2 antibodies in individuals within a university setting during the cOVID-19 *** This sectional study by convenience sampling was conducted in a large university in Niteroi-rJ,Brazil,from March 2021 to July *** study population consisted of students,faculty,and administrative staff employed by the university.A total of 3433 faculty members,60703 students,and 3812 administrative staff were invited to *** were gathered through rapid serological tests to detect immunoglobulin(Ig)M and IgG against ***χ²or Fisher's exact test was used to conduct statistical analysis.A 0.20 significance level was adopted for variable selection in a multiple logistic regression model to evaluate *** A total of 1648 individuals were enrolled in the *** proportion of cOVID-19 positivity was 164/1648(9.8%).The adjusted logistic model indicate a positive association between the expression of IgM or IgG and age[odds ratio(Or)=1.16,95%cI:1.02-1.31](Pcontact with a cOVID-19-positive case(Or=3.49,95%cI:2.34-5.37)(Preceived the cOVID-19 vaccine(Or=2.33,95%cI:1.61-3.35)(Pcial isolation(Or=0.59,95%cI:0.41-0.84)(P<0.004).The likelihood of sho

关键词： Serological surveillance SArS-coV-2 antibodies cOVID-19 Serological rapid test risk factors for cOVID-19

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Spastin and alsin protein interactome analyses begin to reveal key canonical pathways and suggest novel druggable targets

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Neural regeneration research 2025年第3期20卷 725-739页

作者： Benjamin r.Helmold Angela Ahrens Zachary Fitzgerald P.Hande Ozdinler Department of Neurology Feinberg School of MedicineNorthwestern UniversityChicagoILUSA center for Molecular Innovation and Drug Discovery Center for Developmental TherapeuticsChemistry of Life Processes InstituteNorthwestern UniversityEvanstonILUSA Mesulam center for cognitive Neurology and Alzheimer’s Disease Feinberg School of MedicineNorthwestern UniversityChicagoILUSA Feinberg School of Medicine Les Turner ALS Center at Northwestern UniversityChicagoILUSA

Developing effective and long-term treatment strategies for rare and complex neurodegenerative diseases is challenging. One of the major roadblocks is the extensive heterogeneity among patients. This hinders understanding the underlying disease-causing mechanisms and building solutions that have implications for a broad spectrum of patients. One potential solution is to develop personalized medicine approaches based on strategies that target the most prevalent cellular events that are perturbed in patients. Especially in patients with a known genetic mutation, it may be possible to understand how these mutations contribute to problems that lead to neurodegeneration. Protein–protein interaction analyses offer great advantages for revealing how proteins interact, which cellular events are primarily involved in these interactions, and how they become affected when key genes are mutated in patients. This line of investigation also suggests novel druggable targets for patients with different mutations. Here, we focus on alsin and spastin, two proteins that are identified as “causative” for amyotrophic lateral sclerosis and hereditary spastic paraplegia, respectively, when mutated. Our review analyzes the protein interactome for alsin and spastin, the canonical pathways that are primarily important for each protein domain, as well as compounds that are either Food and Drug Administration–approved or are in active clinical trials concerning the affected cellular pathways. This line of research begins to pave the way for personalized medicine approaches that are desperately needed for rare neurodegenerative diseases that are complex and heterogeneous.

关键词： ALS2 alsin amyotrophic lateral sclerosis hereditary spastic paraplegia neurodegenerative diseases personalized medicine precision medicine protein interactome protein-protein interactions SPAST spastin

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coarse to Fine: The role of Severe Plastic Deformation in Advancing Titanium-Based Medical Implants - A comprehensive review

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 295-306页

作者： Dragana r Mihajlović Bojan I Međo Ivana Lj cvijović-Alagić Veljko r Djokić Faculty of Technology and Metallurgy University of BelgradeKarnegijeva 411120 BelgradeSerbia Vinča Institute of Nuclear Sci-ences-National Institute of the republic of Serbia University of Belgrade11001BeogradSerbia Innovation centre of the Faculty of Technology and Metallurgy Karnegijeva 411120 BelgradeSerbia

This paper describes severe plastic deformation(SPD)procedures,which are utilized to form an ultrafine-grained structure in metallic *** the SPD process,a solid material sample is subjected to very high loads without a significant change in sample *** the present work,the high-pressure torsion(HPT)process,as one of the SPD techniques,which achieves a high degree of deformation and ensures refinement of the microstructure,will be discussed in more *** that grain size control is accepted as a method to obtain materials with desired characteristics,an overview of the properties of ultrafine-grained titanium-based biomaterials to be used in medicine is ***,particular attention is dedicated to the influences of HPT process parameters,primarily hydrostatic pressure,and number of revolutions during torsion,on the grain size and physical and mechanical characteristics(modulus of elasticity,microhardness,and tensile properties),corrosion resistance,and biocompatibility of the titanium-based biomaterials.A review of the literature indicates that titanium-based materials obtained by the SPD process show improved mechanical and physical properties without losing biocompatibility and corrosion resistance,which suggests that these methods of obtaining implants are something that should be further developed in the future.

关键词： high-pressure torsion process ultrafine-grained titanium-based materials electrochemical anodization physical properties mechanical properties

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Honeycomb-spiderweb-inspired self-similar hybrid cellular structures for impact applications

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Defence Technology(防务技术) 2025年第1期43卷 182-200页

作者： K.Tewari M.K.Pandit M.M.Mahapatra P.r.Budarapu School of Mechanical Sciences Indian Institute of Technology BhubaneswarBhubaneswar752050India

Inspired by nature's self-similar designs,novel honeycomb-spiderweb based self-similar hybrid cellular structures are proposed here for efficient energy absorption in impact *** energy absorption is enhanced by optimizing the geometry and topology for a given *** proposed hybrid cellular structure is arrived after a thorough analysis of topologically enhanced self-similar *** optimized cell designs are rigorously tested considering dynamic loads involving crush and high-velocity bullet ***,the influence of thickness,radial connectivity,and order of patterning at the unit cell level are also *** maximum crushing efficiency attained is found to be more than 95%,which is significantly higher than most existing traditional *** on,the first and second-order hierarchical self-similar unit cell designs developed during crush analysis are used to prepare the cores for sandwich *** tests are performed on the developed sandwich structures using the standard 9-mm *** influence of multistaging on impact resistance is also investigated by maintaining a constant total thickness and mass of the sandwich ***,in order to avoid layer-wise weak zones and hence,attain a uniform out-of-plane impact strength,off-setting the designs in each stage is *** sandwich structures with first and second-order self-similar hybrid cores are observed to withstand impact velocities as high as 170 m/s and 270 m/s,respectively.

关键词： Sandwich structures Honeycomb-spider web inspired Self-similar hierarchy crush analysis High-velocity impact Strong and weak zones Multistaging

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Distributed stochastic model predictive control for energy dispatch with distributionally robust optimization

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Applied Mathematics and Mechanics(English Edition) 2025年第2期46卷 323-340页

作者： Mengting LIN Bin LI c.cEcATI School of Aeronautics and Astronautics Sichuan University Department of Information Engineering Computer Science and MathematicsUniversity of L'Aquila

A chance-constrained energy dispatch model based on the distributed stochastic model predictive control (DSMPc) approach for an islanded multi-microgrid system is proposed. An ambiguity set considering the inherent uncertainties of renewable energy sources (rESs) is constructed without requiring the full distribution knowledge of the uncertainties. The power balance chance constraint is reformulated within the framework of the distributionally robust optimization (DrO) approach. With the exchange of information and energy flow, each microgrid can achieve its local supply-demand ***, the closed-loop stability and recursive feasibility of the proposed algorithm are proved. The comparative results with other DSMPc methods show that a trade-off between robustness and economy can be achieved.

关键词： distributed stochastic model predictive control (DSMPc) distributionally robust optimization (DrO) islanded multi-microgrid energy dispatch strategy TM73

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Machine learning empowers efficient design of ternary organic solar cells with PM6 donor

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Journal of Energy chemistry 2025年第1期100卷 337-347页

作者： Kiran A.Nirmal Tukaram D.Dongale Santosh S.Sutar Atul c.Khot Tae Geun Kim School of Electrical Engineering Korea UniversityAnam-ro 145Seongbuk-guSeoulRepublic of Korea computational Electronics and Nanoscience research Laboratory School of Nanoscience and BiotechnologyShivaji UniversityKolhapur 416004India Yashwantrao chavan School of rural Development Shivaji UniversityKolhapur 416004India

Organic solar cells(OScs) hold great potential as a photovoltaic technology for practical ***, the traditional experimental trial-and-error method for designing and engineering OScs can be complex, expensive, and time-consuming. Machine learning(ML) techniques enable the proficient extraction of information from datasets, allowing the development of realistic models that are capable of predicting the efficacy of materials with commendable accuracy. The PM6 donor has great potential for high-performance OScs. However, it is crucial for the rational design of a ternary blend to accurately forecast the power conversion efficiency(PcE) of ternary OScs(TOScs) based on a PM6 ***, we collected the device parameters of PM6-based TOScs and evaluated the feature importance of their molecule descriptors to develop predictive models. In this study, we used five different ML algorithms for analysis and prediction. For the analysis, the classification and regression tree provided different rules, heuristics, and patterns from the heterogeneous dataset. The random forest algorithm outperforms other prediction ML algorithms in predicting the output performance of PM6-based TOScs. Finally, we validated the ML outcomes by fabricating PM6-based TOScs. Our study presents a rapid strategy for assessing a high PcE while elucidating the substantial influence of diverse descriptors.

关键词： Machine learning Ternary organic solarcells PM6 donor PcE

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Edge supercurrent in Josephson junctions based on topological materials

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Science china(Physics,Mechanics & Astronomy) 2025年第2期Mechanics & Astronomy) .卷 5-16页

作者： Junjie Qi chui-Zhen chen Juntao Song Jie Liu Ke He Qing-Feng Sun X.c.Xie Beijing Academy of Quantum Information Sciences School of Physical Science and Technology Soochow University Institute for Advanced Study Soochow University college of Physics and Hebei Advanced Thin Films Laboratory Hebei Normal University School of Physics Xi'an Jiaotong UniversityMinistry of Education Key Laboratory for Non-Equilibrium Synthesis and Modulation of Condensed Matter State Key Laboratory of Low Dimensional Quantum Physics Department of PhysicsTsinghua University Frontier Science center for Quantum Information Hefei National Laboratory International center for Quantum Materials School of PhysicsPeking University Interdisciplinary center for Theoretical Physics and Information Sciences Fudan University

The interplay between novel topological states and superconductivity has garnered substantial interest due to its potential for topological quantum computing. The Josephson effect serves as a useful probe for edge superconductivity in these hybrid topological materials. In Josephson junctions based on topological materials, supercurrents exhibit unique quantum interference patterns,including the conventional Fraunhofer oscillations, the Φ0-periodic oscillation, and the 2Φ0-periodic oscillation in response to the external magnetic field（Φ0=h/2e is the flux quantum, h the Planck constant, and e the electron charge）. These interference patterns stem from varied Andreev reflection mechanisms and the associated current density profiles. This review seeks to comprehensively examine the theoretical and experimental advancements in understanding the quantum interference patterns of edge supercurrents in Josephson junctions based on quantum spin Hall, quantum Hall, and quantum anomalous Hall systems.

关键词： quantum Hall effect quantum spin Hall effect quantum anomalous Hall effect Josephson junction edge supercurrent Andreev reflection

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Free vibration and transient response of double curved beams connected by intermediate straight beams

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 37-62页

作者： r.A.JAFArI-TALOOKOLAEI H.GHANDVAr E.JUMAEV S.KHATIr T.cUONG-LE School of Mechanical Engineering Babol Noshirvani University of Technology Department of Mechanical Engineering Faculty of Engineering New Uzbekistan University University of Business and Science center for Engineering Application and Technology Solutions Ho Chi Minh City Open University

This paper investigates the free vibration and transient response of interconnected structures including double curved beams and intermediate straight beams,which are all constructed from functionally graded porous(FGP) materials. The strain potential and kinetic energies of each beam along with the work done by the external force are calculated. Additionally, a higher-order beam element is introduced to derive stiffness and mass matrices, along with the force vector. The curved and straight beams are discretized, and their assembled stiffness, mass matrices, and force vectors, are *** conditions at the joints are used to derive the total matrices of the entire structure. Subsequently, the natural frequencies and transient response of the system are determined. The accuracy of the mathematical model and the self-developed computer program is validated through the comparison of the obtained results with those of the existing literature and commercial software ANSYS, demonstrating excellent ***, a comprehensive study is conducted to investigate the effects of various parameters on the free vibration and transient response of the considered structure.

关键词： double curved beam finite element method functionally graded porous (FGP) material intermediate straight beam O313 vibration analysis

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Seismites of the Late Triassic Lockatong Formation,Pennsylvania,USA:implications for Newark Basin border fault movement

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Journal of Palaeogeography 2025年第1期14卷 1-14页

作者： Edward L.Simpson Michael c.Wizevich David L.Fillmore Department of Physical Sciences Kutztown University of Pennsylvania Department of Earth and Space Sciences Central Connecticut State University

Numerous soft-sediment deformation structures(SSDS) within thin-bedded, heterolithic lacustrine shoreline deposits of the Upper Triassic Tumble Falls Member, Lockatong Formation of eastern Pennsylvania, demonstrate liquefaction, fluidization and shearing features processes affecting sediment. This study employs thin-section analysis of SSDS to interpret them as probable seismites from the Triassic-Jurassic Newark Basin. Sedimentary structures include right-lateral offset of desiccation cracks and ichnofossils, thrust,reverse, and normal faults with mm-scale offsets, horsts and grabens, lateral spreads, and single and complex multiple networks of dikes and sills and associated sedimentary volcanoes, thin mudflows on a paleosurface linked to sediment dikes, load and flame structures, ball and pillow structures, recumbent folds, and incipient breccias. Dike fill consists of mudstone, angular sedimentary clasts, sandstone margins with mudstone cores,and plastically deformed sediment fill. The SSDS indicate that Late Triassic lacustrine shoreline sediments were subjected to forces, probably compressive with a minimal shear component reflected in the offset of the dikes and ichnofossils, that induced liquefaction followed by fluidization and vertical movement of *** forces that altered sediment vertical stability, leading to deformation of the sediment included gravitationally unstable density gradients, vertical shear stress, and gravitational body forces. SSDS can be induced by seismic and aseismic processes. However, this unique combination of forces and resulting sedimentary structures indicate an origin by earthquake activity, likely produced by the nearby, active Newark Basin border fault system. The Lockatong Formation SSDS seismites improve our understanding via thin section analysis of the rheology and preservation potential of SSDS in lacustrine shoreline deposits, critical for the geologic history of Newark Basin, as well as the refinement for paleos

关键词： Seismites Triassic Lockatong Formation Lacustrine Soft-sediment deformation structures

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Improving irrigation management in wheat farms through the combined use of the Aquacrop and WinSrFr models

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Journal of Arid Land 2025年第2期17卷 245-258页

作者： Arash TAFTEH Mohammad r EMDAD Azadeh SEDAGHAT Department of Irrigation and Soil Physics Soil and Water Research Institute Agricultural Research Education and Extension Organization (AREEO)

Water is essential for agricultural production; however, climate change has exacerbated drought and water stress in arid and semi-arid areas such as Iran. Despite these challenges, irrigation water efficiency remains low, and current water management schemes are inadequate. consequently, Iranian crops suffer from low water productivity, highlighting the urgent need for enhanced productivity and improved water management strategies. In this study, we investigated irrigation management conditions in the Hamidiyeh farm, Khuzestan Province, Iran and used the calibrated Aquacrop and WinSrFr （a surface irrigation simulation model） models to reflect these conditions. Subsequently, we examined different management scenarios using each model and evaluated the results from the second year. The findings demonstrated that combining simulation of the Aquacrop and WinSrFr models was highly effective and could be employed for irrigation management in the field. The Aquacrop model accurately simulated wheat yield in the first year, being 2.6 t/hm2, which closely aligned with the measured yield of 3.0 t/hm2. Additionally, using the WinSrFr model to adjust the length of existing borders from 200 to 180 m resulted in a 45.0% increase in efficiency during the second year. To enhance water use efficiency in the field, we recommended adopting borders with a length of 180 m, a width of 10 m, and a flow rate of 15 to 18 L/s. The Aquacrop and WinSrFr models accurately predicted border irrigation conditions,achieving the highest water use efficiency at a flow rate of 18 L/s. combining these models increased farmers' average water consumption efficiency from 0.30 to 0.99 kg/m3in the second year. Therefore, the results obtained from the Aquacrop and WinSrFr models are within a reasonable range and consistent with international recommendations. This adjustment is projected to improve the water use efficiency in the field by approximately 45.0% when utilizing the border irrigation method. Theref

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