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Malignant pleural mesothelioma:The disdained member of thoracic oncology!

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World Journal of Experimental Medicine 2024年第3期14卷 1-10页

作者： Divya Khosla Pawan kumar singh Bharath A Chhabria Vaishali Kataria Navneet singh Rakesh Kapoor Department of Radiotherapy and Oncology Postgraduate Institute of Medical Education and ResearchChandigarh 160012India Department of Pulmonary and Critical Care Medicine Pandit Bhagwat Dayal Sharma Postgraduate Institute of Medical SciencesRohtak 124001India Department of Pulmonary and Critical Care Medicine Ramaiah Memorial HospitalBengaluru 560054India Department of Pulmonary Medicine Postgraduate Institute of Medical Education and ResearchChandigarh 160012India

Pleural mesothelioma is a very aggressive malignancy that arises from the pleural mesothelial cell lining and is linked strongly to prior asbestos *** ban on asbestos has helped to lower the incidence,but in developing countries like India,it is expected to *** has an extended latency period usually progressing over decades and presents with nonspecific *** has a median survival ranging between 10-22 *** diagnosis of malignant pleural mesothelioma is challenging and is done using computed tomography(CT),magnetic resonance imaging,or positron emission tomography-CT,with the last two predicting the resectability of the tumor better than CT alone.A pleural biopsy along with an array of immunohistochemical markers,such as p16,BRCA1 associated protein 1,and claudin-4,are required for a definitive *** genetic alterations have prognostic significance as *** current histological subtype identification is indispensable for decision making because of the new therapeutic avenues being *** combination of nivolumab and ipilimumab-based immunotherapy outperformed platinum and pemetrexed-based chemotherapy in terms of survival benefit and improved quality of life especially for non-epithelioid ***,the latter continues to be a robust treatment option for patients with the epithelioid *** is recommended for resectable cases with radiotherapy being indicated in neoadjuvant,adjuvant,and palliative settings along with systemic *** review article provides an overview of epidemiology,etiology,clinical manifestations,diagnostic approaches(including immunohistochemical and genetic markers),staging,and multidisciplinary approaches to current treatment for malignant pleural mesothelioma using surgery,chemotherapy,immunotherapy,and *** also sheds light on some recent studies(EMPHACIS,CALGB30901,Checkmate-743,etc.)that have led to significant developments in recent years with clinically mean

关键词： Chemotherapy Diagnosis Immunotherapy Malignant pleural mesothelioma Radiotherapy

Recent updates on nano-phyto-formulations based therapeutic intervention for cancer treatment

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Oncology Research 2024年第1期32卷 19-47页

作者： ABHISHEK WAHI MAMTA BISHNOI NEHA RAINA MEGHNA AMRITA singh PIYUSH VERMA PIYUSH kumar GUPTA GINPREET KAUR HARDEEP singh TULI MADHU GUPTA Department of Pharmaceutics School of Pharmaceutical SciencesDelhi Pharmaceutical Sciences and Research University(DPSRU)Pushp ViharNew Delhi110017India Department of Pharmaceutical Sciences Gurugram UniversityHaryana122003India Department of Life Sciences Sharda School of Basic Sciences and ResearchSharda UniversityGreater NoidaUttar Pradesh201310India Department of Biotechnology Graphic Era(Deemed to be University)DehradunUttarakhand248002India Department of Pharmacology Shobhaben Pratapbhai Patel School of Pharmacy&Technology ManagementSVKM’s NMIMSVile Parle(West)Mumbai400056India Department of Bio-Sciences and Technology Maharishi Markandeshwar Engineering CollegeMaharishi Markandeshwar(Deemed to be University)MullanaAmbala133207India

Cancer is a leading cause of death globally,with limited treatment options and several *** agents often result in toxicity which long-term conventional *** are natural constituents that are more effective in treating various diseases with less toxicity than the chemotherapeutic agents providing alternative therapeutic approaches to minimize the *** phytoconstituents act in several ways and deliver optimum effectiveness against ***,the effectiveness of phyto-formulations in the management of cancers may be constrained due to challenges related to inadequate solubility,bioavailability,and *** presents a promising avenue for transforming current cancer treatment methods through the incorporation of phytochemicals into nanosystems,which possess a range of advantageous characteristics such as biocompatibility,targeted and sustained release capabilities,and enhanced protective *** holds significant potential for future advancements in cancer ***,this review aims to provide intensive literature on diverse nanocarriers,highlighting their applications as cargos for phytocompounds in ***,it offers an overview of the current advancements in the respective field,emphasizing the characteristics that contribute to favourable outcomes in both in vitro and in vivo ***,clinical development and regulatory concerns are also discussed to check on the transformation of the concept as a promising strategy for combination therapy of phytochemicals and chemotherapeutics that could lead to cancer management in the future.

关键词： Phyto-formulations Cancer Nanocarriers Nanotechnology Clinical development

A clinical decision support system using rough set theory and machine learning for disease prediction

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Intelligent Medicine 2024年第3期4卷 200-208页

作者： Kamakhya Narain singh Jibendu kumar Mantri Department of Computer Application Maharaja Sriram Chandra Bhanja Deo UniversityBaripadaIndia

Objective Technological advances have led to drastic changes in daily life,and particularly healthcare,while traditional diagnosis methods are being replaced by technology-oriented models and paper-based patient health-care records with digital *** the latest technology and data mining techniques,we aimed to develop an automated clinical decision support system(CDSS),to improve patient prognoses and healthcare *** proposed approach placed a strong emphasis on improvements that meet patient,parent,and physician *** developed a flexible framework to identify hepatitis,dermatological conditions,hepatic disease,and autism in adults and provide results to patients as *** novelty of this CDSS lies in its inte-gration of rough set theory(RST)and machine learning(ML)techniques to improve clinical decision-making accuracy and *** Data were collected through various web-based *** preprocessing techniques were applied to encode categorical features,conduct min-max scaling,and remove null and duplicate *** most prevalent feature in the class and standard deviation were used to fill missing categorical and continuous feature values,respectively.A rough set approach was applied as feature selection,to remove highly redundant and irrelevant ***,various ML techniques,including K nearest neighbors(KNN),linear support vector machine(LSVM),radial basis function support vector machine(RBF SVM),decision tree(DT),random forest(RF),and Naive Bayes(NB),were employed to analyze four publicly available benchmark medical datasets of different types from the UCI repository and *** model was implemented in Python,and various validity metrics,including precision,recall,F1-score,and root mean square error(RMSE),applied to measure its *** Features were selected using an RST approach and examined by RF analysis and important features of hepatitis,dermatology conditions,hepatic dis

关键词： Clinical decision support system Disease classification Machine learning classifier Medical data Recommendation Rough set

Methyl-salicylate:A surveillance system fortriggering immunity in neighboring plants

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Journal of Integrative Plant Biology 2024年第2期66卷 163-165页

作者： Saumya Jaiswal Durgesh kumar Tripathi Ravi Gupta JingHe Zhong-Hua Chen Vijay Pratap singh Plant Physiology Laboratory Department of Botany C.M.P.Degree CollegeA Constituent Post Graduate College ofUniversity of AllahabadPrayagraj 211002India Crop Nanobiology and Molecular Stress Physiology LabAmity Institute of Organic Agriculture Amity University UttarPradeshNoida 201313India College of General Education Kookmin UniversitySeoul 02707South Korea School of Science Western Sydney UniversitySydney 2751New South WalesAustralia Hawkesbury Institute for the Environment Western SydneyUniversitySydney 2751New South WalesAustralia

Plant behavioral actions have been one of the major topicsof research in plant biology and *** actionsfrom plants are determined by their instant structural andphysical reactions to the circumstances(Bouwmeester et al.,2019).Upon sensing abiotic factors such as salinity,flooding,high temperature,drought,plants make suitable changes intheir physiology and behavior to survive such harsh conditions.

关键词： immunity neighboring salinity

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

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

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

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

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