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Decoding complexity: the need to enhance precision and streamline spatial understanding in neuroscience

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Neural Regeneration research 2025年第3期20卷 801-802页

作者： Sameehan Mahajani Armita Salahi Brenda Gonzalez Charlotte Nelson Frank Hsiung Biology&Applications Division NodexusSan JoseCAUSA

Neuroscience is the ultimate frontier in our quest for a comprehensive understanding of human behavior. Since its launch in 2009, the Human Connectome Project has emerged as a pioneering force, making heroic strides i... 详细信息

关键词： behavior frontier dating

Investigation on the influence of vortex generator on particle resuspension

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Particuology 2024年第3期86卷 126-136页

作者： Dongchi Yu Jun-Li Lin Jin-Han Xie ASML 80W Tasman DrSan Jose95134CaliforniaUSA Department of Mechanics and Engineering Science at College of Engineering and State Key Laboratory for Turbulence and Complex Systems Peking UniversityBeijing100081China

The vortex generator(VG)and its well-known effect in flow optimization are widely studied and employed across different engineering sectors.However,while the same working principles of VG may be well suited for the applications on surface-cleaning technologies,such promising potential is hardly,if any,explored in the published literature.Therefore,in the present study,the influence on flow-induced particle resuspension brought by a rectangular vG in a channel flow is investigated with the help of highfidelity computational fluid dynamics simulations.Substantial increases of particle removal forces and resuspension rates are discovered in long,strip-like regions with reduced boundary-layer thickness resulted from the vG-induced vortices,and the enhancement effect is especially significant for configurations with the VG installed at a greater angle of attack.It is also shown that while the resuspension enhancements on the lower and the upper surfaces of the channel exhibit distinct statistical characteristics,having a VG in the channel improves the overall particle-removing capability of the channel flow by introducing higher surface-averaged removal forces and particle resuspension rates.Last but not least,the increase of resuspension rate is especially significant for the smaller,micron-scale particles which are otherwise hardly disturbed by a VG-less channel flow,and such resuspension-enhancement effectgenerally subsides with increasing particle size.

关键词： Particle resuspension Vortexgenerator CFD Surface cleaning

Advanced Electrical Motors and Control Strategies for High-quality Servo Systems-A Comprehensive Review

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Chinese Journal of Electrical Engineering 2024年第1期10卷 63-85页

作者： Ming Cheng Jiawei Zhou Wei Qian Bo Wang Chenchen Zhao Peng Han School of Electrical Engineering Southeast UniversityNanjing 210096China ESTUN Automation Co. Ltd.Nanjing 211106China Ansys Inc.San JoseCA 95134USA

Recent technological advancements have propelled remarkable progress in servo systems,resulting in their extensive utilization across various high-end applications.A comprehensive review of high-quality servo system technologies,focusing specifically on electrical motor topologies and control strategies is presented.In terms of motor topology,this study outlines the mainstream servo motors used across different periods,as well as the latest theories and technologies surrounding contemporary servo motors.In terms of control strategies,two well-established approaches are presented:field-oriented control and direct torque control.Additionally,it discusses advanced control strategies employed in servo systems,such as model predictive control(MPC)and fault tolerance control,among others.

关键词： Servo system servo motor control strategy magnetic field modulation

Task Offloading in Edge Computing Using GNNs and DQN

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2649-2671页

作者： Asier Garmendia-Orbegozo jose David Nunez-Gonzalez Miguel Angel Anton Department of Applied Mathematics University of the Basque Country UPV/EHUEibar20600Spain TECNALIA Basque Research and Technology Alliance(BRTA)San Sebastian20009Spain

In a network environment composed of different types of computing centers that can be divided into different layers(clod,edge layer,and others),the interconnection between them offers the possibility of peer-to-peer task offloading.For many resource-constrained devices,the computation of many types of tasks is not feasible because they cannot support such computations as they do not have enough available memory and processing capacity.In this scenario,it is worth considering transferring these tasks to resource-rich platforms,such as Edge Data centers or remote cloud servers.For different reasons,it is more exciting and appropriate to download various tasks to specific download destinations depending on the properties and state of the environment and the nature of the functions.At the same time,establishing an optimal offloading policy,which ensures that all tasks are executed within the required latency and avoids excessive workload on specific computing centers is not easy.This study presents two alternatives to solve the offloading decision paradigm by introducing two well-known algorithms,Graph Neural Networks(GNN)and Deep Q-Network(DQN).It applies the alternatives on a well-known Edge Computing simulator called PureEdgeSimand compares them with the two defaultmethods,Trade-Off and Round Robin.Experiments showed that variants offer a slight improvement in task success rate and workload distribution.In terms of energy efficiency,they provided similar results.Finally,the success rates of different computing centers are tested,and the lack of capacity of remote cloud servers to respond to applications in real-time is demonstrated.These novel ways of finding a download strategy in a local networking environment are unique as they emulate the state and structure of the environment innovatively,considering the quality of its connections and constant updates.The download score defined in this research is a crucial feature for determining the quality of a download path in the GNN training process and has not previous

关键词： Edge computing edge offloading fog computing task offloading

Role of lipids in the control of autophagy and primary cilium signaling in neurons

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Neural Regeneration research 2024年第2期19卷 264-271页

作者： María Paz Hernández-Cáceres Daniela Pinto-Nuñez Patricia Rivera Paulina Burgos Francisco Díaz-Castro Alfredo Criollo Maria jose Yañez Eugenia Morselli Instituto de Investigación en Ciencias Odontológicas(ICOD) Facultad de OdontologíaUniversidad de ChileSantiagoChile Department of Basic Sciences Faculty of Medicine and ScienceUniversidad San SebastiánSantiagoChile Physiology Department Faculty of Biological SciencesPontificia Universidad Católica de ChileSantiagoChile Advanced center for Chronic Diseases(ACCDiS) Facultad de Ciencias Químicas y Farmacéuticas&Facultad de MedicinaUniversidad de ChileSantiagoChile Autophagy research center SantiagoChile

The brain is,after the adipose tissue,the organ with the greatest amount of lipids and diversity in their composition in the human body.In neurons,lipids are involved in signaling pathways controlling autophagy,a lysosome-dependent catabolic process essential for the maintenance of neuronal homeostasis and the function of the primary cilium,a cellular antenna that acts as a communication hub that transfers extracellular signals into intracellular responses required for neurogenesis and brain development.A crosstalk between primary cilia and autophagy has been established;however,its role in the control of neuronal activity and homeostasis is barely known.In this review,we briefly discuss the current knowledge regarding the role of autophagy and the primary cilium in neurons.Then we review the recent literature about specific lipid subclasses in the regulation of autophagy,in the control of primary cilium structure and its dependent cellular signaling in physiological and pathological conditions,specifically focusing on neurons,an area of research that could have major implications in neurodevelopment,energy homeostasis,and neurodegeneration.

关键词： autophagic flux cholesterol fatty acids GPCR lysosomal storage diseases neurons NPC1 phosphoinositides primary cilium

Breaking paradigms: Long non-coding RNAs forming gene fusions with potential implications in cancer

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Genes & Diseases 2024年第3期11卷 311-323页

作者： David sanchez-Marin Macrina Beatriz Silva-Cazares Fany Iris Porras-Reyes Rebeca Garcia-Roman Alma D.Campos-Parra Posgrado en Ciencias Biologicas Facultad de MedicinaUniversidad Nacional Autonoma de MexicoCiudad de MexicoC.P.04360Mexico Unidad Academica Multidisciplinaria Region Altiplano Universidad Autonoma de San Luis Potost(UASLP)Carretera a Cedral Km 5+600Ejido San Jose de la TrojesMatehualaSan Luis PotosiC.P.78760Mexico Servicio de Anatomia Patologica Instituto Nacional de Cancerologia(INCan)Nino JesuisTlalpanCiudaddeMexicoC.P.14080Mexico Instituto de Salud Publica Universidad Veracruzana(UV)Av.Dr LuisDr.Castelazo Ayala s/nCol.Industrial AnimasXalapaVeracruzC.P.91190Mexico

Long non-coding RNAs(lncRNAs)are non-coding RNAs longer than 200 nucleotides with dynamic regulatory functions.They interact with a wide range of molecules such as DNA,RNA,and proteins to modulate diverse cellular functions through several mechanisms and,if deregulated,they can lead to cancer development and progression.Recently,it has been described that IncRNAs are susceptible to form gene fusions with mRNAs or other IncRNAs,breaking the paradigm of gene fusions consisting mainly of protein-coding genes.However,their biological significance in the tumor phenotype is still uncertain.Therefore,their recent identification opens a new line of research to study their biological role in tumor-igenesis,and their potential as biomarkers with clinical relevance or as therapeutic targets.The present study aimed to review the IncRNA fusions identified so far and to know which of them have been associated with a potential function.We address the current challenges to deepen their study as well as the reasons why they represent a future therapeutic window incancer.

关键词： Cancer Genefusions IncRNAs ncRNAs Therapy

Impact of sleep on gastrointestinal cancer

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World Journal of Clinical Oncology 2024年第6期15卷 677-683页

作者： Joshua Lo Pahnwat T Taweesedt Makoto Kawai Department of Internal Medicine Santa Clara Valley Medical CenterSan JoseCA 95128United States Department of Psychiatry and Behavioral Sciences Stanford UniversityStanfordCA 94305United States Sierra Pacific Mental Illness research Educationand Clinical Center(MIRECC)VA Palo Alto Health Care SystemPalo AltoCA 94304United States Department of Psychiatry and Behavioral Sciences School of MedicineStanford UniversityRedwood CityCA 94063United States

Sleep problems have become a significant public health concern,affecting a large portion of the global population and have been linked to increased morbidity and mortality.The incidence of gastrointestinal(GI)cancers continues to rise,posing a substantial burden on healthcare systems worldwide.This editorial aims to delve into the impact of sleep on GI cancers,including esophageal,gastric,colorectal,hepatobiliary,and pancreatic cancer.Recent literature investigating the potential connections between GI cancers and sleep was reviewed.We considered aspects such as sleep duration,sleep disorders,and circadian rhythmicity,in order to explore the underlying mechanisms that can contribute to the development of GI cancers and propose avenues for future research.

关键词： Sleep Cancer Gastrointestinal cancer Esophagus Stomach Colon Liver

Association between lifestyle factors and thyroid function in young euthyroid adults

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Food Science and Human Wellness 2024年第1期13卷 265-275页

作者： Elisa Merchan-Ramirez Guillermo sanchez-Delgado Lucas Jurado-Fasoli Francisco M Acosta Manuel Munoz-Torres jose M.Llamas-Elvira Jonatan R Ruiz Sport and Health University research Institute(iMUDS) Faculty of Sports ScienceUniversity of GranadaGranada 18016Spain Pennington Biomedical research center Baton Rouge 70808USA Faculty of Medicine University of GranadaGranada 18071Spain Turku PET Centre University of TurkuTurku 20500Finland Turku PET Centre Turku University HospitalTurku 20520Finland Biosanitary research Institute of Granada(Ibs.Granada) Granada 18012Spain CIBERFES Instituto de Salud CarlosⅢMadrid 28029Spain Endocrinology and Nutrition Service University Hospital San CecilioGranada 18016Spain Nuclear Medicine Service "Virgen de las Nieves"University HospitalGranada 18014Spain

Purpose:The present work examines the associations of dietary habits,sedentarism,physical activity(PA)levels and sleep habits,with thyroid function in young euthyroid adults.Methods:A total of 105 young euthyroid adults participated in this cross-sectional study.Thyroid function was determined in fasting conditions(>6 h).Dietary habits were measured by a food frequency questionnaire and three non-consecutive 24 h recalls,and different dietary intake and patterns were then estimated.The time spent in sedentary,PA levels and sleep habits were objectively measured using a wrist-worn accelerometer.Results:Energy and carbohydrate intake were positively associated with thyroid stimulating hormone(TSH)(β=0.222;R^(2)=0.102;P=0.022 andβ=0.425;R^(2)=0.129;P=0.007,respectively)whereas fat intake was negatively associated with TSH(β=-0.428;R^(2)=0.137;P=0.004).Energy intake was also positively associated with free triiodothyronine(β=0.277;R^(2)=0.137;P=0.004).Further,adherence to the Mediterranean diet was negatively related to TSH and free thyroxine(FT4)(β=-0.221;R^(2)=0.113;P=0.020 andβ=-0.268;R^(2)=0.071;P=0.007,respectively).Vigorous-intensity and overall PA were negatively associated with FT4(β=-0.227;R^(2)=0.052;P=0.022 andβ=-0.204;R^(2)=0.042;P=0.041,respectively).In contrast,no associations were found between sleep parameters and thyroid function.Conclusions:Lifestyle factors such as dietary intake and PA levels seems to be related to thyroid function even in young euthyroid adults.

关键词： Thyroid hormones Dietary intake Sleep Physical activity Euthyroid

Hybrid Scalable researcher Recommendation System Using Azure Data Lake Analytics

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Journal of Data Analysis and Information Processing 2024年第1期12卷 76-88页

作者： Dinesh Kalla Nathan Smith Fnu Samaah Kiran Polimetla Department of Doctoral Studies Colorado Technical University Colorado Springs CO USA Department of Computer Science Harrisburg University of Science and Technology Harrisburg PA USA Adobe Technology Service (ATS) Department Adobe San Jose CA USA

This research paper has provided the methodology and design for implementing the hybrid author recommender system using Azure Data Lake Analytics and Power BI. It offers a recommendation for the top 1000 Authors of computer science in different fields of study. The technique used in this paper is handling the inadequate Information for citation;it removes the problem of cold start, which is encountered by very many other recommender systems. In this paper, abstracts, the titles, and the Microsoft academic graphs have been used in coming up with the recommendation list for every document, which is used to combine the content-based approaches and the co-citations. Prioritization and the blending of every technique have been allowed by the tuning system parameters, allowing for the authority in results of recommendation versus the paper novelty. In the end, we do observe that there is a direct correlation between the similarity rankings that have been produced by the system and the scores of the participant. The results coming from the associated scrips of analysis and the user survey have been made available through the recommendation system. Managers must gain the required expertise to fully utilize the benefits that come with business intelligence systems [1]. Data mining has become an important tool for managers that provides insights about their daily operations and leverage the information provided by decision support systems to improve customer relationships [2]. Additionally, managers require business intelligence systems that can rank the output in the order of priority. Ranking algorithm can replace the traditional data mining algorithms that will be discussed in-depth in the literature review [3].

关键词： Azure Data Lake U-SQL Author Recommendation System Power BI Microsoft Academic Big Data Word Embedding