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Unleashing the Power of Multi-Agent Reinforcement Learning for Algorithmic Trading in the Digital Financial Frontier and Enterprise Information Systems

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Computers, Materials & Continua 2024年第8期80卷 3123-3138页

作者： Saket Sarin Sunil K.singh Sudhakar kumar Shivam Goyal Brij Bhooshan Gupta Wadee Alhalabi Varsha Arya Chandigarh College of Engineering and Technology Chandigarh160019India Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Department of Computer Science Immersive Virtual Reality Research GroupKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Business Administration Asia UniversityTaichung413Taiwan Department of Electrical and Computer Engineering Lebanese American UniversityBeirut11022801Lebanon UCRD Chandigarh UniversityChandigarh140413India

In the rapidly evolving landscape of today’s digital economy,Financial Technology(Fintech)emerges as a trans-formative force,propelled by the dynamic synergy between Artificial Intelligence(AI)and Algorithmic *** in-depth investigation delves into the intricacies of merging Multi-Agent Reinforcement Learning(MARL)and Explainable AI(XAI)within Fintech,aiming to refine Algorithmic Trading *** meticulous examination,we uncover the nuanced interactions of AI-driven agents as they collaborate and compete within the financial realm,employing sophisticated deep learning techniques to enhance the clarity and adaptability of trading *** AI-infused Fintech platforms harness collective intelligence to unearth trends,mitigate risks,and provide tailored financial guidance,fostering benefits for individuals and enterprises navigating the digital *** research holds the potential to revolutionize finance,opening doors to fresh avenues for investment and asset management in the digital ***,our statistical evaluation yields encouraging results,with metrics such as Accuracy=0.85,Precision=0.88,and F1 Score=0.86,reaffirming the efficacy of our approach within Fintech and emphasizing its reliability and innovative prowess.

关键词： Neurodynamic Fintech multi-agent reinforcement learning algorithmic trading digital financial frontier

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Higher Grain-Filling Rate in Inferior Spikelets of Tolerant Rice Genotype Offset Grain Yield Loss under Post-Anthesis High Night Temperatures

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Rice science 2024年第5期31卷 572-586,I0059-I0061页

作者： Nitin SHARMA Bhupinder singh Subbaiyan Gopala KRISHNAN Haritha BOLLINEDI Pranab kumar MANDAL Milan kumar LAL Prakash kumar JHA P.V.Vara PRASAD Anjali ANAND Division of Plant Physiology Indian Council of Agricultural Research(ICAR)-Indian Agricultural Research Institute(IARI)New Delhi 110012India Division of Environment Science ICAR-IARINew Delhi 110012India Division of Genetics ICAR-IARINew Delhi 110012India ICAR-National Institute for Plant Biotechnology New Delhi 110012India Division of Crop Physiology and Biochemistry ICAR-National Rice Research InstituteCuttack 753006India Department of Plant and Soil Sciences Mississippi State UniversityStarkvilleMS 39762USA Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification Kansas State UniversityManhattanKS 66506USA Department of Agronomy Kansas State UniversityManhattanKS 66506USA

Increased nighttime respiratory losses decrease the amount of photoassimilates available for plant growth and yield. We hypothesized that the increased respiratory carbon loss under high night temperatures(HNT) could be compensated for by increased photosynthesis during the day following HNT exposure. Two rice genotypes, Vandana(HNT-sensitive) and Nagina 22(HNT-tolerant), were exposed to HNT(4 ℃ above the control) from flowering to physiological maturity. They were assessed for alterations in the carbon balance of the source(flag leaf) and its subsequent impact on grain filling dynamics and the quality of spatially differentiated sinks(superior and inferior spikelets). Both genotypes exhibited significantly higher night respiration rates. However, only Nagina 22 compensated for the high respiration rates with an increased photosynthetic rate, resulting in a steady production of total dry matter under HNT. Nagina 22 also recorded a higher grain-filling rate, particularly at 5 and 10 d after flowering, with 1.5- and 4.0-fold increases in the translocation of ^(14)C sugars to the superior and inferior spikelets, respectively. The ratio of photosynthetic rate to respiratory rate on a leaf area basis was negatively correlated with spikelet sterility, resulting in a higher filled spikelet number and grain weight per plant, particularly for inferior grains in Nagina 22. Grain quality parameters such as head rice recovery, high-density grains, and gelatinization temperature were maintained in Nagina 22. An increase in the rheological properties of rice flour starch in Nagina 22 under HNT indicated the stability of starch and its ability to reorganize during the cooling process of product formation. Thus, our study showed that sink adjustments between superior and inferior spikelets favored the growth of inferior spikelets, which helped to offset the reduction in grain weight under HNT in the tolerant genotype Nagina 22.

关键词： high night temperature inferior grain pasting property radiolabeled sugar superior grain

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Design of a Lightweight Compressed Video Stream-Based Patient Activity Monitoring System

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Computers, Materials & Continua 2024年第1期78卷 1253-1274页

作者： Sangeeta Yadav Preeti Gulia Nasib singh Gill Piyush kumar Shukla Arfat Ahmad Khan Sultan Alharby Ahmed Alhussen Mohd Anul Haq Department of Computer Science&Applications Maharshi Dayanand UniversityRohtak124001India University Institute of Technology Rajiv Gandhi Proudyogiki VishwavidyalayaBhopal462033India Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia

Inpatient falls from beds in hospitals are a common *** falls may result in severe *** problem can be addressed by continuous monitoring of patients using *** advancements in deep learning-based video analytics have made this task of fall detection more effective and *** with fall detection,monitoring of different activities of the patients is also of significant concern to assess the improvement in their *** computation-intensive models are required to monitor every action of the patient *** requirement limits the applicability of such ***,to keep the model lightweight,the already designed fall detection networks can be extended to monitor the general activities of the patients along with the fall *** by the same notion,we propose a novel,lightweight,and efficient patient activity monitoring system that broadly classifies the patients’activities into fall,activity,and rest classes based on their *** whole network comprises three sub-networks,namely a Convolutional Neural Networks(CNN)based video compression network,a Lightweight Pose Network(LPN)and a Residual Network(ResNet)Mixer block-based activity recognition *** compression network compresses the video streams using deep learning networks for efficient storage and retrieval;after that,LPN estimates human ***,the activity recognition network classifies the patients’activities based on their *** proposed system shows an overall accuracy of approx.99.7% over a standard dataset with 99.63% fall detection accuracy and efficiently monitors different events,which may help monitor the falls and improve the inpatients’health.

关键词： Fall detection activity recognition human pose estimation accuracy

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CuO–TiO_(2) based self-powered broad band photodetector

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Nano Materials Science 2024年第3期6卷 345-354页

作者： Chiranjib Ghosh Arka Dey Iman Biswas Rajeev kumar Gupta Vikram singh Yadav Ashish Yadav Neha Yadav Hongyu Zheng Mohamed Henini Aniruddha Mondal Department of Physics National Institute of Technology DurgapurWest BengalIndia Department of Physics University of Petroleum&Energy Studies DehradunUttarakhandIndia Babasaheb Bhimrao Ambedkar University Lucknow226031India Center for Advanced Laser Manufacturing(CALM) Shandong University of TechnologyZibo255000PR China School of Physics and Astronomy University of NottinghamNottinghamNG72RDUnited Kingdom

An efficient room-temperature self-powered,broadband(300 nm–1100 nm)photodetector based on a CuO–TiO_(2)/TiO_(2)/p-Si(100)heterostructure is *** CuO–TiO_(2)nanocomposites were grown in a two-zone horizontal tube furnace on a 40 nm TiO_(2)thin film deposited on a p-type Si(100)*** CuO–TiO_(2)/TiO_(2)/p-Si(100)devices exhibited excellent rectification characteristics under dark and individual photoillumination *** devices showed remarkable photo-response under broadband(300–1100 nm)light illumination at zero bias voltage,indicating the achievement of highly sensitive self-powered photodetectors at visible and near-infrared light *** maximum response of the devices is observed at 300 nm for an illumination power of 10 *** response and recovery times were calculated as 86 ms and 78 ms,***,under a small bias,the devices showed a prompt binary response by altering the current from positive to negative under illumination *** main reason behind this binary response is the low turn-on voltage and photovoltaic characteristics of the *** illumination conditions,the generation of photocurrent is due to the separation of photogenerated electron-hole pairs within the built-in electric field at the CuO–TiO_(2)/TiO_(2)*** characteristics make the CuO–TiO_(2)/TiO_(2)broadband photodetectors suitable for applications that require high response speeds and self-sufficient functionality.

关键词： Self-powered CuO–TiO_(2) nanocomposite Broadband photodetector Two-zone horizontal tube furnace Responsivity

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Emergence of taurine as a therapeutic agent for neurological disorders

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Neural Regeneration Research 2024年第1期19卷 62-68页

作者： Ashok Jangra Priyanka Gola Jiten singh Pooja Gond Swarnabha Ghosh Mahesh Rachamalla Abhijit Dey Danish Iqbal Mehnaz Kamal Punya Sachdeva Saurabh kumar Jha Shreesh Ojha Dinesh kumar Niraj kumar Jha Hitesh Chopra Shing Cheng Tan Department of Pharmaceutical Sciences Central University of HaryanaMahendergarhHaryanaIndia Department of Biology University of SaskatchewanSaskatoonSKCanada Department of Life Sciences Presidency UniversityKolkataWest BengalIndia Department of Health Information Management College of Applied Medical SciencesBuraydah Private CollegesBuraydahSaudi Arabia Department of Pharmaceutical Chemistry College of PharmacyPrince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia GloNeuro Vishwakarma RoadNoidaIndia Department of Biotechnology School of Engineering&Technology(SET)Sharda UniversityGreater NoidaUttar PradeshIndia Department of Pharmacology and Therapeutics College of Medicine and Health SciencesUnited Arab Emirates UniversityAl AinUnited Arab Emirates School of Bioengineering&Biosciences Lovely Professional UniversityPhagwaraIndia Department of Biotechnology School of Applied&Life Sciences(SALS)Uttaranchal UniversityDehradunIndia Chitkara College of Pharmacy Chitkara UniversityPunjabIndia UKM Medical Molecular Biology Institute Universiti Kebangsaan MalaysiaKuala LumpurMalaysia

Taurine is a sulfur-containing,semi-essential amino acid that occurs naturally in the *** alternates between inflammation and oxidative stress-mediated injury in various disease *** part of its limiting functions,taurine also modulates endoplasmic reticulum stress,Ca^(2+)homeostasis,and neuronal activity at the molecular *** effectively protects against a number of neurological disorders,including stro ke,epilepsy,cerebral ischemia,memory dysfunction,and spinal cord *** various therapies are available,effective management of these disorders remains a global *** 30 million people are affected *** design of taurine fo rmation co uld lead to potential drugs/supplements for the health maintenance and treatment of central nervous system *** general neuroprotective effects of taurine and the various possible underlying mechanisms are discussed in this *** article is a good resource for understanding the general effects of taurine on various *** the strong evidence for the neuropharmacological efficacy of taurine in various experimental paradigms,it is concluded that this molecule should be considered and further investigated as a potential candidate for neurotherapeutics,with emphasis on mechanism and clinical studies to determine efficacy.

关键词： antioxidant epilepsy γ-amino butyric acid neurodegenerative disorders neuroprotection oxidative stress spinal cord injury taurine

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Targeting brain tumors with innovative nanocarriers:bridging the gap through the blood-brain barrier

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Oncology Research 2024年第5期32卷 877-897页

作者： KARAN WADHWA PAYAL CHAUHAN SHOBHIT kumar RAKESH PAHWA RAVINDER VERMA RAJAT GOYAL GOVIND singh ARCHANA SHARMA NEHA RAO DEEPAK KAUSHIK Department of Pharmaceutical Sciences Maharshi Dayanand UniversityRohtak124001India Department of Pharmaceutical Technology Meerut Institute of Engineering and Technology(MIET)NH-58Delhi-Roorkee HighwayMeerut250005India Institute of Pharmaceutical Sciences Kurukshetra UniversityKurukshetra136119India Department of Pharmaceutical Sciences Chaudhary Bansi Lal UniversityBhiwani127021India MM College of Pharmacy Maharishi Markandeshwar(Deemed to be University)Mullana-AmbalaHaryana133207India Delhi Pharmaceutical Sciences and Research University(DIPSAR) Delhi Pharmaceutical Sciences and Research UniversityNew Delhi110017India

Background:Glioblastoma multiforme(GBM)is recognized as the most lethal and most highly invasive *** high likelihood of treatment failure arises fromthe presence of the blood-brain barrier(BBB)and stemcells around GBM,which avert the entry of chemotherapeutic drugs into the ***:Recently,several researchers have designed novel nanocarrier systems like liposomes,dendrimers,metallic nanoparticles,nanodiamonds,and nanorobot approaches,allowing drugs to infiltrate the BBB more efficiently,opening up innovative avenues to prevail over therapy problems and radiation ***:Relevant literature for this manuscript has been collected from a comprehensive and systematic search of databases,for example,PubMed,Science Direct,Google Scholar,and others,using specific keyword combinations,including“glioblastoma,”“brain tumor,”“nanocarriers,”and several ***:This review also provides deep insights into recent advancements in nanocarrier-based formulations and technologies for GBM *** of various scientific advances in conjunction with encouraging findings concerning the future perspectives and challenges of nanocarriers for effective brain tumor management has also been discussed.

关键词： Glioblastoma Brain tumor Blood-brain barrier Liposomes Metallic nanoparticles Nanocarriers

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Endoscopic ultrasound-guided pancreatic fluid collection drainage: Where are we?

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World Journal of Gastrointestinal Endoscopy 2024年第6期16卷 273-281页

作者： Anupam kumar singh Manish Manrai Rakesh Kochhar Department of Gastroenterology Postgraduate Institute of Medical Education and ResearchChandigarh 160012India Department of Gastroenterology Command HospitalLucknow 226002India Department of Gastroenterology Paras HospitalPanchkula 134109India

Pancreatic fluid collections(PFCs)result from injury to the pancreas from acute or chronic pancreatitis,surgery,or *** of these collections has evolved over the last 2 *** choice of interventions includes percu-taneous,endoscopic,minimally invasive surgery,or a combined *** drainage is the drainage of PFCs by creating an artificial communication between the collection and gastrointestinal lumen that is maintained by placing a stent across the fistulous *** this editorial,we endeavored to update the current status of endoscopic ultrasound-guided drainage of PFCs.

关键词： Pancreatic fluid collections Endoscopic ultrasound-guided drainage Endoscopic necrosectomy Lumen apposing metal stent Review

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Robust Facial Biometric Authentication System Using Pupillary Light Reflex for Liveness Detection of Facial Images

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 725-739页

作者： Puja S.Prasad Adepu Sree Lakshmi Sandeep Kautish Simar Preet singh Rajesh kumar Shrivastava Abdulaziz S.Almazyad Hossam M.Zawbaa Ali Wagdy Mohamed CSE Department Geethanjali College of EngineeringHyderabadTelangana501301India Department of Computer Science LBEF CampusKathmandu44600Nepal School of Computer Science Engineering and Technology(SCSET) Bennett UniversityGreater Noida201310India Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia CeADAR Ireland’s Centre for AI Technological University DublinDublinD07 EWV4Ireland Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan

Pupil dynamics are the important characteristics of face spoofing *** face recognition system is one of the most used biometrics for authenticating individual *** main threats to the facial recognition system are different types of presentation attacks like print attacks,3D mask attacks,replay attacks,*** proposed model uses pupil characteristics for liveness detection during the authentication *** pupillary light reflex is an involuntary reaction controlling the pupil’s diameter at different light *** proposed framework consists of two-phase *** the first phase,the pupil’s diameter is calculated by applying stimulus(light)in one eye of the subject and calculating the constriction of the pupil size on both eyes in different video *** above measurement is converted into feature space using Kohn and Clynes model-defined *** Support Vector Machine is used to classify legitimate subjects when the diameter change is normal(or when the eye is alive)or illegitimate subjects when there is no change or abnormal oscillations of pupil behavior due to the presence of printed photograph,video,or 3D mask of the subject in front of the *** the second phase,we perform the facial recognition ***-invariant feature transform(SIFT)is used to find the features from the facial images,with each feature having a size of a 128-dimensional *** features are scale,rotation,and orientation invariant and are used for recognizing facial *** brute force matching algorithm is used for matching features of two different *** threshold value we considered is 0.08 for good *** analyze the performance of the framework,we tested our model in two Face antispoofing datasets named Replay attack datasets and CASIA-SURF datasets,which were used because they contain the videos of the subjects in each sample having three modalities(RGB,IR,Depth).The CASIA-SURF datasets showed an 89.9%Equal Err

关键词： SIFT pupil CASIA-SURF pupillary light reflex replay attack dataset brute force

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Comparative analysis of real-world data of frequent treatment sequences in metastatic prostate cancer

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Current Urology 2024年第2期18卷 104-109页

作者： Jiten Jaipuria Ishleen Kaur Mohammad Najmud Doja Tanvir Ahmad Amitabh singh Sudhir kumar Rawal Vineet Talwar Girish Sharma Uro-oncology division Rajiv Gandhi Cancer Institute and Research CentreNew DelhiIndia Amity Centre for Cancer Epidemiology and Cancer Research Amity Institute of BiotechnologyAmity UniversityNoidaIndia School of Engineering and Technology Vivekananda Institute of Professional Studies–Technical CampusNew DelhiIndia Department of Computer Engineering Jamia Millia IslamiaNew DelhiIndia Indian Institute of Information Technology SonepatIndia Department of MedicalOncology Rajiv Gandhi Cancer Institute and Research CentreNew DelhiIndia

Background:The incidence of prostate cancer is increasing worldwide.A significant proportion of patients developmetastatic disease and are initially prescribed androgen deprivation therapy(ADT).However,subsequent sequences of treatments in real-world settings that may improve overall survival remain an area of active *** and methods:Data were collected from 384 patients presenting with de novo metastatic prostate cancer from 2011 to 2015 at a tertiary cancer *** were categorized into surviving(n=232)and deceased(n=152)groups at the end of 3 *** sequence pattern mining techniques(Generalized Sequential Pattern Mining and Sequential Pattern Discovery using Equivalence Classes)were applied to determine the exact order of the most frequent sets of treatments in each ***:Degarelix,as the initial form of ADT,was uniquely in the surviving *** sequence of ADT followed by abiraterone and docetaxel was uniquely associated with a higher 3-year overall *** followed by fosfestrol was found to have a unique niche among surviving patients with a long duration of response to the initial *** who received chemotherapy followed by radiotherapy and those who received radiotherapy followed by chemotherapy were found more frequently in the deceased ***:We identified unique treatment sequences among surviving and deceased patients at the end of 3 *** should be the preferred formof *** who received ADT followed by abiraterone and chemotherapy showed better *** requiring palliative radiation and chemotherapy in any sequence were significantlymore frequent in the deceased group,identifying the need to offer such patients the most efficacious agents and to target them in clinical trial design.

关键词： Hormone therapy Metastatic prostate cancer Sequence mining Survival

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Overlap in oncogenic and pro-inflammatory pathways associated with areca nut and nicotine exposure

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Cancer Pathogenesis and Therapy 2024年第3期2卷 187-194页

作者： Krati Garg Anuj kumar Vidisha Kizhakkethil Pramod kumar Shalini singh Department of Biochemical Engineering and Biotechnology Indian Institute of Technology(IIT)DelhiDelhi 110016India Division of Molecular Biology ICMR-National Institute of Cancer Prevention and Research(ICMR-NICPR)Indian Council of Medical ResearchNoidaUttar Pradesh 201301India Department of Biotechnology Vellore Institute of Technology(VIT)VelloreTamil Nadu 632024India ICMR-National Institute of Cancer Prevention&Research(ICMR-NICPR) Indian Council of Medical ResearchNoidaUttar Pradesh 201301India

Background:Betel nut/areca nut/Areca catechu is one of the most commonly used psychoactive substance,and is also a major preventable cause of *** other psychoactive substances,such as nicotine,the mechanisms underlying addiction to areca nuts and related oncogenesis remain *** reports suggest a possible overlap in the mechanisms of action of nicotine and areca nuts in the human ***,this study aimed to investigate the interactome of human proteins associated with areca nut exposure and the intricate similarities and differences in the effects of the two psychoactive substances on ***:A list of proteins associated with areca nut use was obtained from the available literature using terms from Medical Subject Headings(MeSH).Protein-protein interaction(PPI)networks and functional enrichment were *** results obtained for both psychoactive substances were ***:Given the limited number of common proteins(36/226,16%)in the two sets,a substantial overlap(612/1176 nodes,52%)was observed in the PPI networks,as well as in Gene *** nuts mainly affect signaling pathways through three hub proteins(alpha serine/threonine-protein kinase,tumor protein 53,and interleukin-6),which are common to both psychoactive substances,as well as two unique hub proteins(epidermal growth factor receptor and master regulator of cell cycle entry and proliferative metabolism).Areca nut-related proteins are associated with unique pathways,such as extracellular matrix organization,lipid storage,and metabolism,which are not found in nicotine-associated ***:Areca nuts affect regulatory mechanisms,leading to systemic toxicity and *** nuts also affect unique pathways that can be studied as potential markers of exposure,as well as targets for anticancer therapeutic agents.

关键词： Cancer Areca nut Nicotine Interactome Cell signaling

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