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Journal of Systems Science and Systems Engineering 2024年第2期33卷 187-206页

作者： Mintu Kumar Himani Pant S.B.singh Department of Mathematics Statistics and Computer Science G.B.Pant University of AgricultureTechnologyPantnagarUttarakhandIndia

Uncertainty is an important factor that needs to be considered while analyzing the performance of any engineering *** order to quantify uncertainty,fuzzy set theory is frequently used by most of researchers,including energy system *** to the classical reliability theory,component lifetimes have crisp parameters,but due to uncertainty and inaccuracy in data,it is sometimes very difficult to determine the exact values of these parameters in real-world *** overcome this difficulty in the current research,failure and repair rates were taken as triangular fuzzy numbers to determine the fuzzy availability of a system undergoing calendar-based periodic inspection subject to multiple failure modes(FMs).It was assumed that each component in the system had an exponential failure rate and repair rate with fuzzy *** FMs were explicitly taken into account when a functional state of the system was *** FM had a random failure *** the occurrence of any failure,a random time was selected for the relevant corrective repair *** proposed research was studied for one of the major sources of green energy,namely a wind turbine system wherein all the derived propositions have been implemented on it.

关键词： Fuzzy reliability fuzzy availability wind turbine system multiple failure modes triangular fuzzy number

SARS-CoV2 Nsp3 protein triggers cell death and exacerbates amyloid β42-mediated neurodegeneration

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Neural Regeneration Research 2024年第6期19卷 1385-1392页

作者： Aditi singh Anuradha Venkatakrishnan Chimata Prajakta Deshpande Soumya Bajpai Anjali Sangeeth Mrigendra Rajput Amit singh Department of Biology University of Dayton Premedical Program University of Dayton Center for Tissue Regeneration and Engineering at Dayton (TREND) University of Dayton The Integrative Science and Engineering Center University of Dayton Center for Genomic Advocacy (TCGA) Indiana State University

Infection caused by the severe acute respiratory syndrome coronavirus 2(SARS-CoV2) virus, responsible for the coronavirus disease 2019(COVID-19) pandemic, induces symptoms including increased inflammatory response, severe acute respiratory syndrome(SARS), cognitive dysfunction like brain fog, and cardiovascular defects. Long-term effects of SARS-CoV2 COVID-19 syndrome referred to as post-COVID-19 syndrome on age-related progressive neurodegenerative disorders such as Alzheimer’s disease remain understudied. Using the targeted misexpression of individual SARS-CoV2 proteins in the retinal neurons of the Drosophila melanogaster eye, we found that misexpression of nonstructural protein 3(Nsp3), a papain-like protease, ablates the eye and generates dark necrotic spots. Targeted misexpression of Nsp3 in the eye triggers reactive oxygen species production and leads to apoptosis as shown by cell death reporters, terminal deoxynucleotidyl transferase(TdT) dUTP Nick-end labeling(TUNEL) assay, and dihydroethidium staining. Furthermore, Nsp3 misexpression activates both apoptosis and autophagy mechanism(s) to regulate tissue homeostasis. Transient expression of SARS-CoV2 Nsp3 in murine neuroblastoma, Neuro-2a cells, significantly reduced the metabolic activity of these cells and triggers cell death. Misexpression of SARS-CoV2 Nsp3 in an Alzheimer’s disease transgenic fly eye model(glass multiple repeats [GMR]>amyloid β42) further enhances the neurodegenerative rough eye phenotype due to increased cell death. These findings suggest that SARS-CoV2 utilizes Nsp3 protein to potentiate cell death response in a neurodegenerative disease background that has high pre-existing levels of neuroinflammation and cell death.

关键词： Alzheimer's disease apoptosis autophagy COVID-19 Drosophila necrosis Neuro-2a cells neurodegeneration post COVID-19 syndrome SARS-CoV2

Automated Time Based Multi-Criteria Bug Triage Approach:Developer Working Efficiency and Social Network Based Developer Recommendation

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 566-578页

作者： YADAV Asmita singh Kumar Sandeep Krishna Engineering College Ghaziabad 201007India JIIT Noida 201309India

In software development projects,bugs are common *** report bugs in open source *** is a need to develop high quality developer prediction model that considers developer work satisfaction,keep within limited development cost,and improve bug resolution *** address and resolve bug report as soon as possible is the main focus of triager when a new bug is ***,developer work efficiency is an important factor in *** address these issues,a proposed approach recommends a set of developers that could potentially share their knowledge with each other to fix new bug *** proposed approach is called developer working efficiency and social network based developer recommendation(DweSn).It is a composite model that builds developers'profile by using developer average bug fixing time,work efficiency to fix variety of bugs,as well as the developer's social interactions with other developers.A similarity measure is applied between new bug and bugs in corpus to extract the list of capable developers from the *** proposed approach only selects those developers who are active and less loaded with *** developer with the highest profile score is assigned the *** evaluated our approach on the subset of five large open-source projects including Mozilla,Netbeans,Eclipse,Firefox and OpenOffice,and compared it with the *** results demonstrate that combination of developers'efficiency with their average bug fixing time and interactions in their social network gives good accuracy and efficiently reduces bug tossing *** approach shows an improvement in prediction accuracy,precision,recall,F-score and reduced bug tossing length up to 93.89%,93.12%,93.46%,93.27%and 93.25%,*** proposed approach achieved a 93%hit ratio and 93.34%mean reciprocal rank,indicating that our proposed triager is able to efficiently assign bugs to correct developers.

关键词： open-source repository bug report bug assignment tossing length bug triager developer social network developer recommendation

Dual PPAR delta/gamma agonist offer therapeutic potential for Alzheimer's disease

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Neural Regeneration Research 2024年第6期19卷 1175-1176页

作者： Ian Steinke Meenakshi singh Rajesh Amin Department of Drug Discovery and Development Auburn University

The increasing incidence of Alzheimer’s disease(AD) in the aging population, indicates the critical need for the development of novel targeted molecular therapies for ameliorating AD pathology. Moreover, clinical and preclinical evidence demonstrates that peroxisomal proliferator activating receptors(PPAR) agonists regulate energy and lipid homeostasis in models of diabetes, as well as improve spatial memory in animal models of AD(Khan et al., 2019).

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Nrf2 as a potential target for the treatment of epilepsy

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Neural Regeneration Research 2024年第9期19卷 1865-1866页

作者： Prince Kumar singh Tawfeeq Shekh-Ahmad Institute for Drug Research School of PharmacyFaculty of MedicineThe Hebrew University of JerusalemJerusalemIsrael

Epilepsy is a prevalent chronic brain disorder that is characterized by a persistent predisposition to recurrently generate epileptic seizures and is often associated with cognitive and psychological *** affects approximately 65 million individuals,including both males and females of all ages worldwide,and poses a significant burden on patients,their families,and the health system(Vezzani et al.,2019).

关键词： epilepsy Nrf2

Impacts of hydropower-induced flow alterations on composition and diversity of riparian vegetation in the Western Himalayas: A case study in Uttarakhand, India

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Journal of Mountain Science 2024年第4期21卷 1272-1286页

作者： Dharmveer KAINTURA Sabyasachi DASGUPTA Dhanpal singh CHAUHAN Hemvati Nandan Bahuguna Garhwal University Srinagar Garhwal 246174India Tripura University SuryamaninagarAgartala 799022India

The increasing demand for water and energy resources has led to widespread dam construction,particularly in ecologically sensitive regions like the Himalayan *** study focuses on the Uttarakhand state in the Western Himalayas,where hydroelectric projects(HEPs)have significantly altered river flow *** research investigates the impact of flow alterations on the composition and structure of riparian vegetation in the Garhwal Himalayas,specifically analysing four rivers regulated by hydroelectric *** the paired-reach comparison method,control(undisturbed),diverted(downstream of barrage/dam),and altered flow conditions(downstream of water outlet)were *** research reveals diverse and unique riparian ecosystems,with 89 genera and 113 taxa identified,showcasing the dominance of families like Asteraceae and *** study unveils the structural importance of key species such as Berberis asiatica and Artemisia *** density,diversity,and richness of shrub and herb species vary significantly across flow ***,altered flow conditions demonstrate resilience in vegetation structure,while diverted conditions exhibit decreased species richness and *** study emphasizes the importance of nuanced environmental flow management for mitigating adverse effects on riparian biodiversity in the fragile Himalayan *** findings contribute to the global discourse on dam impacts and riparian ecology,shedding light on the complexities of this dynamic relationship in a vulnerable ecosystem.

关键词： Dam construction Water stress Western Himalayas Disturbed flow regimes Riparian ecosystem

Review of Electrochemical Sensors and Biosensors Based on First-Row Transition Metals,Their Oxides,and Noble Metals Nanoparticles

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Journal of Analysis and Testing 2024年第2期8卷 143-159页

作者： Kulveer singh Kuldeep Kumar Maurya Manisha Malviya Department of Chemistry Indian Institute of Technology(Banaras Hindu University)Varanasi221005India

The use of electrochemical sensors for sensitive disease diagnosis and detecting various species with pharmacological,therapeutic,industrial,food-related,and environmental origins is now widely accepted.A catalytic or binding event resulting from the sensor’s electroactive component recognizing its analyte creates an electrical signal proportionate to the analyte concentration,which is then monitored by a *** development of morphologically distinct metal and metal oxide nanoparticles formed from first-row transition elements(Mn,Cr,Fe,Co,Ti,Ni,Cu,Zn)and noble metals(Pt,Au,Ag,Pd)is described in this *** effect of these metal nanoparticles has been studied using Tetracyanoquinodimethane(TCNQ),Ferrocene,and other organic compounds as electroactive species using carbon paste-modified *** sensors,mostly based on ferrocene,are exceedingly sensitive,selective,affordable,and for detecting numerous biomolecules like glucose,dopamine,NADH,ascorbic acid,and a few dyes and are simple to *** recent decades,charge transfer organic species-based chemosensors have become a prominent study *** paper outlines current developments in electrochemical biosensors based on transition metal nanoparticles,covering glucose,ascorbic acid,uric acid,and other inorganic and organic *** importance of transition metal and transition metal oxide nanoparticles as potential electrode modifiers for developing sensors is highlighted.A discussion of the present problem and possible solutions,and plausible future directions marks the review’s conclusion.

关键词： Electrochemical sensing Amperometry Cyclic voltammetry Square wave voltammetry Linear sweep voltammetry

Design of computer vision assisted machine learning based controller for the Stewart platform to track spatial objects

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Frontiers of Structural and Civil Engineering 2024年第8期18卷 1195-1208页

作者： Dev Kunwar singh CHAUHAN Pandu R.VUNDAVILLI Indian Institute of Technology Bhubaneswar Bhubaneswar 752050India

The present work aims to develop an object tracking controller for the Stewart platform using a computer vision-assisted machine learning-based *** research is divided into two *** first module focuses on the design of a motion controller for the Physik Instrumente(PI)-based Stewart *** contrast,the second module deals with the development of a machine-learning-based spatial object tracking algorithm by collecting information from the Zed 2 stereo vision ***,simple feed-forward neural networks(NN)are used to predict the orientation of the top table of the *** training,the x,y,and z coordinates of the three-dimensional(3D)object,extracted from images,are used as the input to the *** contrast,the orientation information of the platform(that is,rotation about the x,y,and z-axes)is considered as the output from the *** orientation information obtained from the network is fed to the inverse kinematics-based motion controller(module 1)to move the platform while tracking the *** training,the optimised NN is used to track the continuously moving 3D *** experimental results show that the developed NN-based controller has successfully tracked the moving spatial object with reasonably good accuracy.

关键词： Stewart platform feed-forward neural networks motion controller inverse kinematics stereo vision

Comparative measurement of CO_(2),CH_(4)and CO at two traffic interjunctions having inflated vehicular flow in Delhi

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Journal of Environmental Sciences 2024年第7期141卷 314-329页

作者： Komal Daya Soni Khem singh Shankar G.Aggarwal CSIR-National Physical Laboratory Dr.K.S.Krishnan MargNew Delhi 110012India Academy of Scientific&Innovative Research(AcSIR) Ghaziabad 201002India

Vehicular emissions are considered one of the major anthropogenic sources of greenhouse gases and poor air quality in metropolitan *** study aims to see the correlation of CO_(2),CH_(4),and CO through monitoring over a period from December 2020 to October 2021 covering three seasons’winter,summer,and monsoon at two different traffic locations of Delhi having different traffic volumes,road patterns,and traffic *** annual average morning concentration of CO_(2),CH_(4)and CO was found(533±105),(7.3±3.1),(10.7±3.0)ppm at Najafgarh and(480±70),(5.2±1.8),(7.8±2.8)ppm at Rajendra Place,respectively.A relationship between concentration of all three gases and meteorological parameters such as temperature,humidity,wind speed and wind direction has also been investigated using Pearson correlation coefficient and pollution rose diagram.A comparable pattern in concentration was observed for all three gases in spatial(location)and temporal(diurnal)*** concentration trend of CO_(2)in different seasons is winter>summer>monsoon,while in the case of CH_(4)winter=summer>monsoon but not any seasonal trend was noted in CO *** is observed that CO_(2)has a good relation with CO(a tracer for vehicular emission)in terms of diurnal variation,whereas,CH_(4)does not represent a relation with CO and CO_(2)diurnally,suggesting that vehicles are the source of CO_(2)but not much contributing to other greenhouse gases like CH_(4).

关键词： Vehicular emission Greenhouse gases Harmful pollutants Meteorological parameters

Photo-activated microtubule targeting drugs: Advancing therapies for colorectal cancer

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World Journal of Gastroenterology 2024年第26期30卷 3257-3260页

作者： Naresh singh Samantha Sharma Department of Medical and Molecular Genetics Indiana University School of MedicineIndianapolisIN 46202United States

Over the years immunotherapy has demonstrably improved the field of cancer ***,achieving long-term survival for colorectal cancer(CRC)patients remains a significant unmet *** immunotherapies incor-porating targeted drugs like MEK or multi-kinase inhibitors have offered some palliative ***,substantial gaps remain in the current therapeutic armamentarium for *** recent years,there has been a surge of interest in exploring novel treatment strategies,including the application of light-activated drugs in conjunction with optical *** approach holds promise for achie-ving localized and targeted delivery of cytotoxic agents,such as microtubule-targeting drugs,directly to cancerous cells within the colon.