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A dysregulated calcium homeostasis as the earliest pathological sign in stem cell-derived Parkinson's disease neurons?

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Neural Regeneration Research 2024年第7期19卷 1421-1422页

作者： Nilima prakash Working Group human stem Cell Research Department Hamm 2Hamm-Lippstadt University of Applied SciencesHammGermany

Parkinson’s disease(PD) is characterized by the slow and progressive demise of dopamine(DA)-synthesizing neurons in the substantia nigra pars compacta(sNc),a nucleus located in the human ventral *** death also affects other regions in the brain at later stages of *** concomitant lack of DA in the human forebrain(striatum) leads to the typical motor symptoms of this still uncurable neurodegenerative disorder.

关键词： homeostasis dopamine death

Refining aquifer heterogeneity and understanding groundwater recharge sources in an intensively exploited agrarian dominated region of the Ganga Plain

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Geoscience Frontiers 2024年第4期15卷 134-147页

作者： Abhinav Patel shive prakash Rai Nijesh Puthiyottil Abhinesh kumar singh Jacob Noble Rajesh singh Dharmappa Hagare U.D.saravana kumar Nachiketa Rai Kossitse Venyo Akpataku Department of Geology Institute of ScienceBanaras Hindu UniversityVaranasiUttar Pradesh 221005India Isotope and Radiation Application Division Bhabha Atomic Research CentreTrombayMumbai 400085India Environmental Hydrology Division National Institute of HydrologyRoorkeeUttarakhand 247667India school of Engineering Design and Built EnvironmentWestern Sydney UniversityAustralia Isotope Hydrology section Division of Physical and Chemical SciencesInternational Atomic Energy Agency(IAEA)ViennaAustria Department of Earth sciences Indian Institute of TechnologyRoorkeeUttarakhand 247667India Laboratory of Organic Chemistry and Environmental science Department of ChemistryUniversity of KaraPO Box 404KaraTogo

Densely populated region of Ganga Plain is facing aquifer vulnerability through waterborne pollutants and groundwater stress due to indiscriminate abstraction,causing environmental and socio-economic *** address long-term groundwater resilience,it is crucial to understand aquifer heterogeneity and connectivity,groundwater recharge sources,effects of groundwater abstraction *** this con-text,present study aims to understand factors responsible for vertical and spatial variability of groundwater chemistry and to identify groundwater recharge sources in an intensively exploited agrarian region of the Ganga *** of chemometric,statistical,and isotopic analysis categorises the alluvial aquifer into zone 1(G1;ground surface to 100 m)and zone 2(G2;>100 m-210 m).The group G1 samples are characterized by a wide variation in hydrochemical species,noted with pockets of F-and NO3-rich groundwater,and fresh to more evolved water types,while group G2 groundwater is characterized by a sharp increase in freshwater types and limited variation in their isotopic and hydrochemical *** G1 groundwater chemistry is governed by soil mineralogy,local anthropogenic inputs(sO42-,Cl-,and NO3-),and manifested by multiple recharge sources(local precipitation,river,canal water,pond).The G2 group is dominated by geogenic processes and mainly recharged by the local *** signatures confirm more evolved water type for group G1 in northwestern region,while fresh-water type covers the rest of the study *** rich groundwater is attributed to sodic water under alkaline conditions and enrichedδ18O values emphasizing role of evaporation in F-mobilization from micas and amphiboles abundant in the *** findings provide insight into potential groundwater vulnerability towards inorganic contaminants,and ground water recharge *** outcome of this study will help to develop aquifer resilience towards indiscriminate groundwater extrac

关键词： stable isotopes Hydrogeochemical attributes Groundwater recharge sources Ganga Plain

Deep Learning-Based Classification of Rotten Fruits and Identification of shelf Life

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Computers, Materials & Continua 2024年第1期78卷 781-794页

作者： s.sofana Reka Ankita Bagelikar prakash Venugopal V.Ravi Harimurugan Devarajan Centre for smart Grid Technologies School of Electronics EngineeringVellore Institute of TechnologyChennai600127India school of Electronics Engineering Vellore Institute of TechnologyChennai600127India Department of Electrical Engineering Dr.B R Ambedkar National Institute of TechnologyJalandharPunjab144008India

The freshness of fruits is considered to be one of the essential characteristics for consumers in determining their quality,flavor and nutritional *** primary need for identifying rotten fruits is to ensure that only fresh and high-quality fruits are sold to *** impact of rotten fruits can foster harmful bacteria,molds and other microorganisms that can cause food poisoning and other illnesses to the *** overall purpose of the study is to classify rotten fruits,which can affect the taste,texture,and appearance of other fresh fruits,thereby reducing their shelf *** agriculture and food industries are increasingly adopting computer vision technology to detect rotten fruits and forecast their shelf ***,this research work mainly focuses on the Convolutional Neural Network’s(CNN)deep learning model,which helps in the classification of rotten *** proposed methodology involves real-time analysis of a dataset of various types of fruits,including apples,bananas,oranges,papayas and ***,machine learningmodels such as GaussianNaïve Bayes(GNB)and random forest are used to predict the fruit’s shelf *** results obtained from the various pre-trained models for rotten fruit detection are analysed based on an accuracy score to determine the best *** comparison to other pre-trained models,the visual geometry group16(VGG16)obtained a higher accuracy score of 95%.Likewise,the random forest model delivers a better accuracy score of 88% when compared with GNB in forecasting the fruit’s shelf *** developing an accurate classification model,only fresh and safe fruits reach consumers,reducing the risks associated with contaminated ***,the proposed approach will have a significant impact on the food industry for efficient fruit distribution and also benefit customers to purchase fresh fruits.

关键词： Rotten fruit detection shelf life deep learning convolutional neural network machine learning gaussian naïve bayes random forest visual geometry group16

scheme Based on Multi-Level Patch Attention and Lesion Localization for Diabetic Retinopathy Grading

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Computer Modeling in Engineering & sciences 2024年第7期140卷 409-430页

作者： Zhuoqun Xia Hangyu hu Wenjing Li Qisheng Jiang Lan Pu Yicong shu Arun kumar sangaiah school of Computer and Communication Engineering Changsha University of Science and TechnologyChangshaChina hunan Province People’s Hospital(The First Affiliated Hospital of hunan Normal University) ChangshaChina The First Affiliated Hospital of Guangxi Medical University NanningChina International Graduate Institute of AI National Yunlin University of Science and TechnologyYunlinChina Department of Electrical and Computer Engineering Lebanese American UniversityBayrutLebanon

Early screening of diabetes retinopathy(DR)plays an important role in preventing irreversible *** research has failed to fully explore effective DR lesion information in fundus ***,traditional attention schemes have not considered the impact of lesion type differences on grading,resulting in unreasonable extraction of important lesion ***,this paper proposes a DR diagnosis scheme that integrates a multi-level patch attention generator(MPAG)and a lesion localization module(LLM).Firstly,MPAGis used to predict patches of different sizes and generate a weighted attention map based on the prediction score and the types of lesions contained in the patches,fully considering the impact of lesion type differences on grading,solving the problem that the attention maps of lesions cannot be further refined and then adapted to the final DR diagnosis ***,the LLM generates a global attention map based on ***,the weighted attention map and global attention map are weighted with the fundus map to fully explore effective DR lesion information and increase the attention of the classification network to lesion *** paper demonstrates the effectiveness of the proposed method through extensive experiments on the public DDR dataset,obtaining an accuracy of 0.8064.

关键词： DDR dataset diabetic retinopathy lesion localization multi-level patch attention mechanism

serotonin syndrome controversies:A need for consensus

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World Journal of Critical Care Medicine 2024年第2期13卷 150-158页

作者： sanjay prakash Chetsi s shah Anurag prakash Department of Neurology Smt.B.K.Shah Medical Institute and Research CentreSumandeep VidyapeethVadodara 391760GujarātIndia Medicine Parul Institute of Medical Sciences and Research CentreParul University WaghodiaVadodara 391760India

serotonin syndrome(ss)is a drug-induced clinical syndrome resulting from increased serotonergic activity in the central nervous *** more than seven decades have passed since the first description of ss,it is still an enigma in terms of terminology,clinical features,etiology,pathophysiology,diagnostic criteria,and therapeutic *** majority of ss cases have previously been reported by toxicology or psychiatry centers,particularly in people with mental ***,serotonergic medications are used for a variety of conditions other than mental *** properties have been discovered in several new drugs,including over-the-counter *** days,cases are reported in non-toxicology centers,such as perioperative settings,neurology clinics,cardiology settings,gynecology settings,and pediatric *** or poisonings of serotonergic agents constituted the majority of the cases observed in toxicology or psychiatry *** or poisoning of serotonergic drugs is uncommon in other clinical *** may develop ss at therapeutic ***,these patients may continue to use serotonergic medications even if they develop mild to moderate ss due to several ***,the clinical presentation(onset,severity,and clinical features)in such instances may not exactly match what toxicologists or psychiatrists observe in their respective *** produce considerable diversity in many aspects of ***,other experts discount these new developments in *** ss is a potentially lethal illness,consensus is required on several concerns related to ss.

关键词： serotonin serotonin syndrome serotonin toxicity selective serotonin reuptake inhibitors Antidepressants Cyproheptadine

Chatbots:a critical look into the future of the academia

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International Journal of Agricultural and Biological Engineering 2024年第2期17卷 287-288页

作者： samuel Ariyo Okaiyeto Arun s.Mujumdar Parag prakash sutar Wei Liu Junwen Bai Hongwei Xiao College of Engineering China Agricultural UniversityBeijing 100083China Department of Bioresource Engineering McGill UniversitySte.Anne de BellevueQuebecCanada Department of Food Process Engineering National Institute of Technology RourkelaRourkela 769008India school of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing 100876China school of Food and Biological Engineering Jiangsu UniversityZhenjiang 212013China

Like every other societal domain,science faces yet another reckoning caused by a bot called ChatGPT(Chat Generative Pre-Trained Transformer).ChatGPT was introduced in November 2022 to produce messages that seem like they were written by humans and are *** the release of the latest version of ChatGPT called GPT-4,and other similar models such as Google Bard,Chatsonic,Collosal Chat,these chatbots combine several(about 175 billion)neural networks pre-trained on large Language Models(LLMs),allowing them to respond to user promptings just like ***-4 for example can admit its mistakes and confront false assumptions thanks to the dialogue style,which also enables it to write essays and to keep track of the context of a discussion while it is ***,users may be deceived by the human-like text structure of the AI models to believe that it came from a human origin[1].These chatbot models could be better,even though they generate text with a high level of ***,they produce inappropriate or wrong responses,resulting in faulty inferences or ethical *** article will discuss some fundamental strengths and weaknesses of this Artificial intelligence(AI)system concerning scientific research.

关键词： ChatGPT AI generative models academia ethical and moral restraints

Techno-economic and environmental impact analysis of electric two-wheeler batteries in India

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Clean Energy 2024年第3期8卷 147-156页

作者： Aman Gupta Ditipriya Bose sandeep Tiwari Vikrant sharma Jai prakash Department of Green Energy and sustainable Development Zakir Husain College of Engineering and Technology Aligarh Muslim UniversityUttar Pradesh-202002India Battery Testing Facility National Institute of Solar EnergyGurugram-Faridabad RoadGwal PahariGurugram-122003HaryanaIndia

This paper presents a comprehensive techno-economic and environmental impact analysis of electric two-wheeler batteries in *** technical comparison reveals that sodium-ion(Na-ion)and lithium-ion(Li-ion)batteries outperform lead-acid batteries in various parameters,with Na-ion and Li-ion batteries exhibiting higher energy densities,higher power densities,longer cycle lives,faster charge rates,better compactness,lighter weight and lower self-discharge *** economic comparison,Na-ion batteries were found to be~12-14%more expensive than Li-ion ***,the longer lifespans and higher energy densities of Na-ion and Li-ion batteries can offset their higher costs through improved performance and long-term ***-acid batteries have the highest environmental impact,while Li-ion batteries demonstrate better environmental performance and potential for ***-ion batteries offer promising environmental advantages with their abundance,lower cost and lower toxic and hazardous material *** recycling processes can further enhance the environmental benefits of Na-ion ***,this research examines the potential of Na-ion batteries as a cheaper alternative to Li-ion batteries,considering India’s abundant sodium resources in regions such as Rajasthan,Chhattisgarh,Jharkhand and others.

关键词： electric two-wheelers environmental impact assessment lead-acid batteries lithium-ion batteries sodium-ion batteries techno-economic analysis

Coal/Gangue Volume Estimation with Convolutional Neural Network and separation Based on Predicted Volume and Weight

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Computers, Materials & Continua 2024年第4期79卷 279-306页

作者： Zenglun Guan Murad s.Alfarzaeai Eryi hu Taqiaden Alshmeri Wang Peng school of Mechatronic Engineering China University of Mining and TechnologyXuzhou221116China China National Coal Group Corp. Beijing100029China Information Institute Ministry of Emergency Management of the ChinaBeijing100029China school of Mechanical Engineering Sana’a UniversitySana’a31220Yemen

In the coal mining industry,the gangue separation phase imposes a key challenge due to the high visual similaritybetween coal and ***,separation methods have become more intelligent and efficient,using newtechnologies and applying different features for *** such method exploits the difference in substancedensity,leading to excellent coal/gangue ***,this study uses density differences to distinguishcoal from gangue by performing volume prediction on the *** training samples maintain a record of3-side images as input,volume,and weight as the ground truth for the *** prediction process relieson a Convolutional neural network(CGVP-CNN)model that receives an input of a 3-side image and then extractsthe needed features to estimate an approximation for the *** classification was comparatively performedvia ten different classifiers,namely,K-Nearest Neighbors(KNN),Linear support Vector Machines(Linear sVM),Radial Basis Function(RBF)sVM,Gaussian Process,Decision Tree,Random Forest,Multi-Layer Perceptron(MLP),Adaptive Boosting(AdaBosst),Naive Bayes,and Quadratic Discriminant Analysis(QDA).After severalexperiments on testing and training data,results yield a classification accuracy of 100%,92%,95%,96%,100%,100%,100%,96%,81%,and 92%,*** test reveals the best timing with KNN,which maintained anaccuracy level of 100%.Assessing themodel generalization capability to newdata is essential to ensure the efficiencyof the model,so by applying a cross-validation experiment,the model generalization was *** useddataset was isolated based on the volume values to ensure the model generalization not only on new images of thesame volume but with a volume outside the trained ***,the predicted volume values were passed to theclassifiers group,where classification reported accuracy was found to be(100%,100%,100%,98%,88%,87%,100%,87%,97%,100%),*** obtaining a classification with hi

关键词： Coal coal gangue convolutional neural network CNN object classification volume estimation separation system

Light People:*** D C Bradley(FRs)

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Light(science & Applications) 2024年第9期13卷 1704-1719页

作者： Ruidong Xia Ying hu Key Laboratory for Organic Electronics&Information Displays(KLOEID) Jiangsu-Singapore Joint Research Center for Organic/Bio Electronics&Information DisplaysInstitute of Advanced Materials(IAM)Nanjing University of Posts and Telecommunications9 Wenyuan RoadNanjing 210023China Executive Management College of CHN ENERGY North District of Future Science CityChangping DistrictNo.7 Binhe AvenueBeijing 102211China

Editorial,The invention of organic light emitting diodes(LEDs)led to enormous excitement in both academe and industry in the late 1980’***,large area solution processability,roll-to-roll printing,low cost,and environmentally friendly are some of the advantages of organic semiconductor materials,which brought a new horizon for *** with the achievement of organic solar cells,transistors,lasers,and amplifiers,this has demonstrated potential applications of organic semiconductors in displays,lighting,solar energy generation,electronics,sensing and imaging,and many aspects of *** an enlightened conversation with Light:science&Applications,*** Bradley(FRs),a pioneer in the field,shared his deep insights on past,current,and future exciting developments of organic optoelectronic materials and *** particular,he expressed his opinion on the hot topics related to organic optoelectronics research and application,such as the relationship between organic and inorganic semiconductors and the challenge of electrically pumped organic *** a successful scientist,Donal has also been co-founder of several organic optoelectronics innovation companies and research centers and a long-term academic administrator serving as a Head of Department,Centre Director,and Vice-Rector for Research at Imperial College,Head of the Mathematical,Physical,and Life sciences Division at the University of Oxford,Vice-President for Research at King Abdullah University of science and Technology and now Vice-President for Research and Innovation at NEOM U and Executive Director of the NEOM Education,Research and Innovation *** this interview,we also explore the major roles and events in Donal’s career experience from the invention of the first conjugated polymer LED in the world to the set-up of entrepreneurial companies,from Cambridge to sheffield,Imperial College,and Oxford,from the UK to overseas,and from the establishment of the Cent

关键词： companies Director Bradley