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International journal of Mental Health Promotion 2023年第10期25卷 1081-1088页

作者： Sándor Csibi Mónika Csibi józsef bognár Department of Sport Sciences Eszterházy Károly Catholic UniversityEger3300Hungary Department of Special Needs Education Eszterházy Károly Catholic UniversityEger3300Hungary

Background:Components of Self,completed with the perceived social support determine the individual differences in theevaluation of a stressor and the behavioral responses toward it,such as health-related *** study set as a goal theanalysis of associations between the components of Self,such as self-evaluation,sense of coherence,perceived social support,and reported health-related anxiety in an adult ***:147 adults from the 18–73 age group(mean age 37.5)voluntarily completed the questionnaire through Qualtrics online platform containing the Short Health Anxiety Inventory,Core Self-Evaluation Scale,Social Support Assessing Scale,and one Health Self-Evaluation ***:ANOVA foundrelevant differences in total scores and subscales’scores of the health anxiety scale depending on the positive *** regression shows that the analyzed variables were responsible for the prediction of a higher value on the“Perceivedprobability of becoming ill”subscale in a proportion of 45.6%and for the“Perceived consequence of illness”subscale in aproportion of 20.2%The predictive value of the linear regression model for the total score on the health anxiety scale was46.3%.Our findings show that negative Core Self-Evaluation is linked with perceived health ***:Selfevaluation,sense of coherence and perceived social support influence the perceived health and can explain the differences inthe reported health-related anxiety.

关键词： Core self-evaluation health anxiety health self-evaluation perceived social support self-concept the sense of coherence

Gene therapy for spinal muscular atrophy:perspectives on the possibility of optimizing SMN1 delivery to correct all neurological and systemic perturbations

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Neural regeneration research 2025年第7期20卷 2011-2012页

作者： Sharon j.Brown rafael j.Yáñez-Muñoz Heidi r.Fuller School of Pharmacy and Bioengineering Keele UniversityKeeleUK Wolfson Center for Inherited Neuromuscular Disease TORCH BuildingRJAH Orthopaedic HospitalOswestryUK *** Center of Gene and Cell TherapyDepartment of Biological SciencesSchool of Life Sciences and the EnvironmentRoyal Holloway University of LondonEghamUK

Spinal muscular atrophy(SMA)is a genetic condition that results in selective lower motor neuron loss with concomitant muscle weakness and *** genetic cause of SMA was understood in 1995 when loss or impairment of the survival motor neuron 1(SMN1)gene was identified as the main contributing factor(Lefebvre et al.,1995).This,in combination with the discovery that humans have a“back-up”gene,SMN2,which can produce low levels(approximately 10%)of the full-length functional SMN protein,has led to the generation of SMA-specific gene *** was traditionally classified according to age of symptom onset and developmental milestones achieved,with life expectancy and severity varying between ***,SMN2 copy number is used as a proxy for the prediction of disease severity,with higher SMN2 copy number typically being associated with reduced severity of SMA,although this relationship is not absolute:some individuals with low SMN2 copy number have less severe SMA phenotypes and vice ***,the etiology of SMA is further complicated by other factors,such as non-typical nucleotide variants and SMN2-independent modifiers of disease severity.

关键词： atrophy traditionally absolute

Deductive way of reasoning about the internet AS level topology

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Chinese Physics B 2015年第11期24卷 633-642页

作者： Dávid Szabó Attila Korsi józsef Bíró András Gulyás High Speed Networks Laboratory Budapest University of Technology and Economics MTA-BME Information Systems research Group Budapest University of Technology and Economics MTA-BME Future Internet research Group Budapest University of Technology and Economics

Our current understanding about the AS level topology of the Internet is based on measurements and inductive-type models which set up rules describing the behavior （node and edge dynamics） of the individual ASes and generalize the consequences of these individual actions for the complete AS ecosystem using induction. In this paper we suggest a third, deductive approach in which we have premises for the whole AS system and the consequences of these premises are determined through deductive reasoning. We show that such a deductive approach can give complementary insights into the topological properties of the AS graph. While inductive models can mostly reflect high level statistics （e.g., degree distribution, clustering, diameter）, deductive reasoning can identify omnipresent subgraphs and peering likelihood. We also propose a model, called YEAS, incorporating our deductive analytical findings that produces topologies contain both traditional and novel metrics for the AS level Internet.

关键词： internet topology complex network analysis model

CD133 and membrane microdomains:Old facets for future hypotheses

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World journal of Gastroenterology 2011年第36期17卷 4149-4152页

作者： Christine A Fargeas jana Karbanová józsef jászai Denis Corbeil Tissue Engineering Laboratories (BIOTEC) Technische Universitt DresdenD-01307 DresdenGermany

Understanding all facets of membrane microdomains in normal and cancerous cells within the digestive tract is highly important,not only from a clinical point of view,but also in terms of our basic knowledge of cellular *** studying the normal and cancer stem cell-associated molecule CD133 (prominin-1),novel aspects of the organization and dynamics of polarized epithelial cells have been revealed during the last *** association with particular membrane microdomains is highly relevant in these contexts and might also offer new avenues in diagnosis and/or targeting of cancer stem cells.

关键词： AC133 Cancer CD133 Membrane microdomains Membrane vesicles Prominin-1 Stem cell

Formin' bridges between microtubules and actin filaments in axonal growth cones

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Neural regeneration research 2017年第12期12卷 1971-1973页

作者： István Foldi Szilárd Szikora józsef Mihály Institute of Genetics Biological Research Centre HungarianAcademy of Sciences MTA-SZBK NAP B Axon Growth andRegeneration Group Szeged Hungary

It is well established that guidance of axons during neuronal development is regulated by a variety of extracellular signals,governing cytoskeletal dynamics in growth *** actin and microtubule（MT）cytoskeleton have both been shown to play important ***,a growing body of work suggests that a critical issue is the proper coordination of changes within these two major cytoskeletal systems（reviewed in Cammara-ta et al., 2016）.

关键词： Formin'' bridges axonal growth cones

Machine Learning Techniques in Predicting Hot Deformation Behavior of Metallic Materials

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 713-732页

作者： Petr Opela josef Walek jaromír Kopecek Department of Metallurgical Technologies Faculty of Materials Science and TechnologyVSB–Technical University of OstravaOstrava70800Czech Republic FZU—Institute of Physics of the Czech Academy of Sciences Prague18200Czech Republic

In engineering practice,it is often necessary to determine functional relationships between dependent and independent *** relationships can be highly nonlinear,and classical regression approaches cannot always provide sufficiently reliable ***,Machine Learning(ML)techniques,which offer advanced regression tools to address complicated engineering issues,have been developed and widely *** study investigates the selected ML techniques to evaluate their suitability for application in the hot deformation behavior of metallic *** ML-based regression methods of Artificial Neural Networks(ANNs),Support Vector Machine(SVM),Decision Tree regression(DTr),and Gaussian Process regression(GPr)are applied to mathematically describe hot flow stress curve datasets acquired experimentally for a medium-carbon *** the GPr method has not been used for such a regression task before,the results showed that its performance is the most favorable and practically unrivaled;neither the ANN method nor the other studied ML techniques provide such precise results of the solved regression analysis.

关键词： Machine learning Gaussian process regression artificial neural networks support vector machine hot deformation behavior

Emerging potential of progranulin-dependent SorCS2 signaling in healthy and diseased nervous systems

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Neural regeneration research 2025年第9期20卷 2591-2593页

作者： Alena Salasova Anders Nykjær Danish research Institute of Translational Neuroscience DANDrITE-Nordic EMBL Partnership for Molecular Medicine and Centre of Excellence PROMEMODepartment of BiomedicineAarhus UniversityAarhusDenmark

The formation of the mammalian nervous system and its maturation into sensory,motor,cognitive,and behavioral circuits is a complex process that begins during early embryogenesis and lasts until young *** neurodevelopm... 详细信息

关键词： progr jointly CS2

Apples to oranges:environmentally derived,dynamic regulation of serotonin neuron subpopulations in adulthood?

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Neural regeneration research 2025年第9期20卷 2596-2597页

作者： Christopher j.O’Connell Matthew j.robson Department of Genetics College of MedicineHarvard UniversityBostonMAUSA james L.Winkle College of Pharmacy Division of Pharmaceutical SciencesUniversity of CincinnatiCincinnatiOHUSA Neuroscience Graduate Program College of MedicineUniversity of CincinnatiCincinnatiOHUSA

Traumatic brain injury(TBI)is a public health problem with an undue economic burden that impacts nearly every age,ethnic,and gender group across the globe(Capizzi et al.,2020).TBIs are often sustained during a dynamic range of exposures to energetic environmental forces and as such outcomes are typically heterogeneous regarding severity and pathology(Capizzi et al.,2020).

关键词： sustained orange dynamic

Combining PlanetScope and Sentinel-2 images with environmental data for improved wheat yield estimation

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International journal of Digital Earth 2023年第1期16卷 847-867页

作者： Nizom Farmonov Khilola Amankulova józsef Szatmári jamol Urinov Zafar Narmanov jakhongir Nosirov LászlóMucsi Department of Geoinformatics Physical and Environmental GeographyUniversity of SzegedSzegedHungary Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research UniversityTashkentUzbekistan Department of Land resources Cadastre and GeoinformaticsKarshi Institute of Irrigation and Agrotechnology“TIIAME”National Research UniversityKarshiUzbekistan Soil Science Department of the Kashkadarya region regional division of the Institute of Soil Science and Agrochemical research KarshiUzbekistan

Satellite images are widely used for crop yield estimation,but their coarse spatial resolution means that they often fail to provide detailed information at thefield ***,a new generation of high-resolution satellites and CubeSat platforms has been *** this study,satellite data sources including PlanetScope and Sentinel-2 were combined with topographic and climatic variables,and the improvement in wheat yield estimation was *** yield data from a combine harvester were used to train and validate a yield estimation model based on random forest *** vegetation indices(NDVI,GNDVI,MSAVI2,MTVI2,MTCI,reNDVI,SAVI,EVI and WDVI)and spectral bands were *** the model training,the Sentinel-2 data realized a slightly higher estimation accuracy than the PlanetScope ***,combining environmental data with the PlanetScope data realized the highest estimation *** the validated models,adding the topographic and climatic datasets to the satellite data sources improved the estimation accuracy,and the results were slightly better with the Sentinel-2 data than with the PlanetScope *** data of the milk and dough stages provided the highest estimation accuracy of the wheat yield at 210–225 days after sowing.

关键词： remote sensing BBCH-scale MSAVI2 PlanetScope random forest

A comprehensive investigation on nonlinear vibration and bending characteristics of bio-inspired helicoidal laminated composite structures

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 81-100页

作者： S.SAUrABH r.KIrAN D.SINGH r.VAISH V.S.CHAUHAN School of Mechanical and Materials Engineering Indian Institute of Technology Mandi

Bio-inspired helicoidal composite laminates, inspired by the intricate helical structures found in nature, present a promising frontier for enhancing the mechanical properties of structural designs. Hence, this study provides a comprehensive investigation into the nonlinear free vibration and nonlinear bending behavior of bio-inspired composite plates. The inverse hyperbolic shear deformation theory(IHSDT) of plates is employed to characterize the displacement field, with the incorporation of Green-Lagrange nonlinearity. The problem is modeled using the C0finite element method(FEM), and an in-house code is developed in the MATLAB environment to solve it numerically. Various helicoidal layup configurations including helicoidal recursive(Hr), helicoidal exponential(HE), helicoidal semi-circular(HS), linear helicoidal(LH), and Fibonacci helicoidal(FH)with different layup sequences and quasi-isotropic configurations are studied. The model is validated, and parametric studies are conducted. These studies investigate the effects of layup configurations, side-to-thickness ratio, modulus ratios, boundary conditions, and loading conditions at different load amplitudes on the nonlinear vibration and nonlinear bending behaviors of bio-inspired composite plates. The results show that the laminate sequence exerts a substantial impact on both nonlinear natural frequencies and nonlinear bending behaviors. Moreover, this influence varies across different side-to-thickness ratios and boundary conditions of the bio-inspired composite plate.

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