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Smart tailoring of molecular catalysts:Mounting approach to oxygen reduction reaction

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Journal of Materials Science & Technology 2024年第1期168卷 169-184页

作者： Anuj kumar Mohd Ubaidullah Guoxin Zhang Jasvinder Kaur Saira Ajmal Mudassir Hasan Krishna kumar Yadav Hafiz M.Adeel Sharif Ram K.gupta Ghulam Yasin Nano-Technology Research Laboratory Department of ChemistryGLA UniversityMathuraUttar Pradesh 281406India Department of Chemistry College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Department of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdaoShandong 266590China Institute for Advanced Study Shenzhen UniversityShenzhenGuangdong 518060China Department of Chemistry Kansas Polymer Research CenterPittsburg State UniversityPittsburgKS 66762United States Faculty of Science and Technology Madhyanchal Professional UniversityRatibadBhopal 462044India Environmental and Atmospheric Sciences Research Group Scientific Research CenterAl-Ayen UniversityThi-QarNasiriyah 64001Iraq Department of Chemical Engineering King Khalid University Saudi Arabia Department of Chemistry School of SciencesIFTM UniversityMoradabadUttar Pradesh 244102India Research Center for Eco-Environmental Engineering Dongguan University of TechnologyDongguan 523808China School of Environment and Civil Engineering Dongguan University of TechnologyDongguanGuangdong 523808China

Efficient electrocatalytic rupture of energy-rich molecules(H_(2)and O_(2))is a green approach for gener-ating clean energy for modern *** this context,porphyry-type molecular electrocatalysts act intelligently toward oxygen reduction reaction(ORR),a fundamental process in fuel cells,due to their redox-rich chemistry,which involves core metal ions and macrocyclic *** concerned scientific community has tried many times to correlate the ORR intermediates with their formation kinetics and simplify the associated multi H+/e-stages during the ORR process,constructing several volcano plots be-tween catalytic Tafel data,turnover frequencies,and overpotentials for many *** the fact that many review articles on molecular electrocatalysts for ORR have been published,understanding the strategic implications and molecular catalyst intelligence towards homogenous ORR has been poorly *** review examined the relationships between volcano plots of current *** parameters and the Sabatier principle in order to explain the intelligence of molecular electrocatalysts and approaches for their creation,as well as the difficulties and potential prospects of molecular *** facts distinguish this review from previously published articles and will pique the scien-tific community’s interest in avoiding trial-and-error procedures for catalyst creation while also allowing for more exact evaluations of the molecular catalyst’s performance.

关键词： Electrocatalysis Molecular catalysts Oxygen reduction reaction Sabatier principle

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

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

Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images

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Intelligent Medicine 2024年第2期4卷 104-113页

作者： Vinayak Sharma Nillmani Sachin kumar gupta Kaushal kumar Shukla School of Electronics and Communication Engineering Shri Mata Vaishno Devi University Jammu and KashmirIndia School of Biomedical Engineering Indian Institute of TechnologyBanaras Hindu UniversityVaranasiIndia Department of Computer Science and Engineering Indian Institute of TechnologyBanaras Hindu UniversityVaranasiIndia

Objective Tuberculosis(TB)is among the most frequent causes of infectious-disease-related *** being treatable by antibiotics,tuberculosis often goes misdiagnosed and untreated,especially in rural and low-resource *** X-rays are frequently used to aid diagnosis;however,this presents additional challenges because of the possibility of abnormal radiological appearance and a lack of radiologists in areas where the infection is most *** deep-learning-based imaging techniques for computer-aided diagnosis has the potential to enable accurate diagnoses and lessen the burden on medical *** the present work,we aimed to develop deep-learning-based segmentation and classification models for accurate and precise detection of tuberculosis in chest X-ray images,with visualization of infection using gradient-weighted class activation mapping(Grad-CAM)*** First,we trained the UNet segmentation model using 704 chest X-ray radiographs taken from the Montgomery County and Shenzhen Hospital ***,we implemented the trained UNet model on 1,400 tuberculosis and control chest X-ray scans to segment the lung *** images were taken from the National Institute of Allergy and Infectious Diseases(NIAID)TB portal program ***,we applied the deep learning Xception model to classify the segmented lung region into tuberculosis and normal *** further investigated the visualization capabilities of the model using Grad-CAM to view tuberculosis abnormalities in chest X-rays and discuss them from radiological *** For segmentation by the UNet model,we achieved accuracy,Jaccard index,Dice coefficient,and area under the curve(AUC)values of 96.35%,90.38%,94.88%,and 0.99,*** classification by the Xception model,we achieved classification accuracy,precision,recall,F1-score,and AUC values of 99.29%,99.30%,99.29%,99.29%,and 0.999,*** Grad-CAM heatmap images from the tuberculos

关键词： Tuberculosis Artificial intelligence Deep learning Segmentation Classification Chest X-ray

Geospatial and Statistical Analysis of Land Surface Temperature and Land Surface Characteristics of Jaipur and Ahmedabad Cities of India

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Journal of Geoscience and Environment Protection 2024年第8期12卷 1-19页

作者： Rupesh kumar gupta Department of Continuing Education and Extension Faculty of Social Science University of Delhi Delhi India

Land surface temperature (LST) is a phenomenon that significantly affects the environment, the cities’ liveability, and the citizens’ well-being. This Study aims to perform a comparative study of the microclimate and Surface Urban Heat Island (SUHI) phenomenon of two metropolitan cities of India, i.e. Jaipur and Ahmedabad, using MODIS Satellite data, whereas Landsat Data was used to analyse the Land Surface Characteristics by an index-based approach. The Study’s findings reveal that Ahmedabad has 35.53 per cent of the total area classified as having a low potential, and 13.55 per cent is designated as a high potential LST zone. Meanwhile, in Jaipur, 30.45 per cent of the city’s total area is identified as a low potential LST zone and 12.69 per cent as a high potential LST zone. This Study highlights the importance of mitigating the UHI phenomenon in urban centres for the overall well-being of city dwellers. It will help policymakers and stakeholders comprehend plans and take initiatives to minimise the effects of the UHI phenomenon on rapidly growing cities. .

关键词： LST UHI Index-Based Approach Built-Up Remote Sensing GIS

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

Microstructural, wettability, and corrosion behaviour of TiO_(2) thin film sputtered on aluminium

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Journal of Central South University 2024年第7期31卷 2210-2224页

作者： Rajeev VERMA Vijay kumar Saurabh KANGO Amindra KHILLA Rajeev gupta Department of Industrial and Production Engineering Dr B R Ambedkar National Institute of Technology JalandharJalandhar-144008PunjabIndia Department of Mechanical Engineering Dr B R Ambedkar National Institute of Technology JalandharJalandhar-144008PunjabIndia Department of Physics School of EngineeringUniversity of Petroleum&Energy StudiesDehradun 248007UttarakhandIndia

The study investigated the application of radiofrequency(RF)-sputtered TiO2 coatings at various temperatures to enhance the hydrophobicity and corrosion resistance of Al6061 *** research aimed to establish a correlation between the coating process and the resulting surface *** roughness and wettability were quantified with a surface profilometer and ***,chemical boiling and salt spray corrosion tests were conducted to evaluate any topographical changes during these *** analysis further involved the use of field-emission scanning electron microscopy(FESEM),energy-dispersive spectroscopy(EDS),and X-ray diffraction(XRD)techniques to characterize the deposited *** findings indicated that the TiO2 coating applied at 500℃exhibited the highest water contact angle and superior corrosion resistance compared to other *** characterization confirmed that this specific TiO_(2) coating at 500℃ effectively delays corrosion due to its hydrophobic behavior,making it durable for industrial applications.

关键词： aluminium TiO_(2) coating radiofrequency-sputtering hydrophobic corrosion

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

Development and validation of multicentre study on novel Artificial Intelligence-based Cardiovascular Risk Score(AICVD)

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Family Medicine and Community Health 2024年第S1期12卷 20-33页

作者： Shiv kumar Jalepalli Prashant gupta Andre L A J Dekker Inigo Bermejo Sujoy Kar Apollo Hospitals HyderabadTelanganaIndia Azure Microsoft Research IndiaBengaluruIndia Department of Radiation Oncology(Maastro) Maastricht UniversityMaastrichtNetherlands

Objective Cardiovascular diseases(CVD)are one of the most prevalent diseases in India amounting for nearly 30%of total deaths.A dearth of research on CVD risk scores in Indian population,limited performance of conventional risk scores and inability to reproduce the initial accuracies in randomised clinical trials has led to this study on large-scale patient *** objective is to develop an Artificial Intelligence-based Risk Score(AICVD)to predict CVD event(eg,acute myocardial infarction/acute coronary syndrome)in the next 10 years and compare the model with the Framingham Heart Risk Score(FHRS)and *** Our study included 31599 participants aged 18–91 years from 2009 to 2018 in six Apollo Hospitals in India.A multistep risk factors selection process using Spearman correlation coefficient and propensity score matching yielded 21 risk factors.A deep learning hazards model was built on risk factors to predict event occurrence(classification)and time to event(hazards model)using multilayered neural ***,the model was validated with independent retrospective cohorts of participants from India and the Netherlands and compared with FHRS and *** The deep learning hazards model had a good performance(area under the curve(AUC)0.853).Validation and comparative results showed AUCs between 0.84 and 0.92 with better positive likelihood ratio(AICVD−6.16 to FHRS−2.24 and QRisk3−1.16)and accuracy(AICVD−80.15%to FHRS 59.71%and QRisk351.57%).In the Netherlands cohort,AICVD also outperformed the Framingham Heart Risk Model(AUC−0.737 vs 0.707).Conclusions This study concludes that the novel AI-based CVD Risk Score has a higher predictive performance for cardiac events than conventional risk scores in Indian population.

关键词： AICVD Cardiovascular acute