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Surface engineering of ZnO electrocatalyst by N doping towards electrochemical CO_(2) reduction

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Journal of Energy Chemistry 2024年第1期88卷 71-81,I0002页

作者： Rohini Subhash Kanase Getasew Mulualem Zewdie Maheswari Arunachalam jyoti Badiger Suzan Abdelfattah Sayed Kwang-Soon Ahn Jun-Seok Ha Uk Sim Hyeyoung Shin Soon Hyung Kang Department of Interdisciplinary Program for Photonic Engineering Chonnam National UniversityGwangju 61186Republic of Korea Graduate School of Energy Science and Technology(GEST) Chungnam National University99 Daehak-roYuseong-guDaejeon 34134Republic of Korea Department of Chemistry Education and Optoelectronic Convergence Research Center Chonnam National UniversityGwangju 61186Republic of Korea Department of Advanced Chemicals and Engineering Chonnam National UniversityGwangju 61186Republic of Korea School of Chemical Engineering Yeungnam UniversityGyeongsan 38541Republic of Korea Department of Energy Engineering Korea Institute of Energy Technology(KENTECH)Naju 58217Republic of Korea

The discovery of efficient,selective,and stable electrocatalysts can be a key point to produce the largescale chemical fuels via electrochemical CO_(2) reduction(ECR).In this study,an earth-abundant and nontoxic ZnO-based electrocatalyst was developed for use in gas-diffusion electrodes(GDE),and the effect of nitrogen(N)doping on the ECR activity of ZnO electrocatalysts was ***,a ZnO nanosheet was prepared via the hydrothermal method,and nitridation was performed at different times to control the N-doping *** an increase in the N-doping content,the morphological properties of the nanosheet changed significantly,namely,the 2D nanosheets transformed into irregularly shaped ***,the ECR performance of Zn O electrocatalysts with different N-doping content was assessed in 1.0 M KHCO_(3) electrolyte using a gas-diffusion electrode-based ECR *** the ECR activity increased after a small amount of N doping,it decreased for higher N doping *** them,the N:ZnO-1 h electrocatalysts showed the best CO selectivity,with a faradaic efficiency(FE_(CO))of 92.7%at-0.73 V *** hydrogen electrode(RHE),which was greater than that of an undoped Zn O electrocatalyst(FE_(CO)of 63.4%at-0.78 V_(RHE)).Also,the N:ZnO-1 h electrocatalyst exhibited outstanding durability for 16 h,with a partial current density of-92.1 mA cm^(-2).This improvement of N:ZnO-1 h electrocatalyst can be explained by density functional theory calculations,demonstrating that this improvement of N:ZnO-1 h electrocatalyst comes from(ⅰ)the optimized active sites lowering the free energy barrier for the rate-determining step(RDS),and(ⅱ)the modification of electronic structure enhancing the electron transfer rate by N doping.

关键词： ZnO N-doped ZnO Gas-diffusion electrode CO Selectivity Electrochemical CO_(2)reduction

Mammogram Classification with HanmanNets Using Hanman Transform Classifier

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Journal of Modern Physics 2024年第7期15卷 1045-1067页

作者： jyoti Dabass Madasu Hanmandlu Rekha Vig Shantaram Vasikarla EECE Department The Northcap University Sector 23-A Gurugram India CSE Department MVSR Engineering College Nadergul Hyderabad India CSE Department The Northcap University Sector 23-A Gurugram India CS Department California State University Northridge CA USA

Breast cancer is a deadly disease and radiologists recommend mammography to detect it at the early stages. This paper presents two types of HanmanNets using the information set concept for the derivation of deep information set features from ResNet by modifying its kernel functions to yield Type-1 HanmanNets and then AlexNet, GoogLeNet and VGG-16 by changing their feature maps to yield Type-2 HanmanNets. The two types of HanmanNets exploit the final feature maps of these architectures in the generation of deep information set features from mammograms for their classification using the Hanman Transform Classifier. In this work, the characteristics of the abnormality present in the mammograms are captured using the above network architectures that help derive the features of HanmanNets based on information set concept and their performance is compared via the classification accuracies. The highest accuracy of 100% is achieved for the multi-class classifications on the mini-MIAS database thus surpassing the results in the literature. Validation of the results is done by the expert radiologists to show their clinical relevance.

关键词： Mammograms ResNet 18 Hanman Transform Classifier Abnormality Diagnosis VGG-16 AlexNet GoogleNet HanmanNets

Direct-Seeded Rice: Genetic Improvement of Game-Changing Traits for Better Adaption

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Rice science 2024年第4期31卷 417-433页

作者： Priyanka NEGI Jagadish RANE Rajendra Sadashiv WAGH Tukaram Jayaram BHOR Dipti Digambar GODSE Priyanka jadhav C.ANILKUMAR Dasari SREEKANTH K.SAMMI REDDY Sharad Ramrao GADAKH K.M.BORAIH C.B.HARISHA P.S.BASAVARAJ Indian Council of Agricultural Research(ICAR)-National Institute of Abiotic Stress Management Baramati 413115India Mahatma Phule Krishi Vidyapeeth Rahuri 413722India ICAR-Central Institute for Arid Horticulture Bikaner 334006India ICAR-National Rice Research Institute Cuttack 753006India ICAR-Directorate of Weed Research Jabalpur 482004India Dr.Panjabrao Deshmukh Krishi Vidyapeeth Akola 444104India

The sustainability of rice production continues to be a subject of uncertainty and inquiry attributed to shifts in climatic conditions. In light of the impending climate change crisis and the high labor and water costs accompanying it, direct-seeded rice(DSR) is unquestionably one of the most practical solutions. Despite its resource and climate-friendly advantages, early maturing rice faces weed competitiveness and seedling establishment challenges. Resolving these issues is crucial for promoting its wider adoption among farmers, presenting it as a more effective sustainable rice cultivation method globally. Diverse traditional and contemporary breeding methods are employed to mitigate the limitations of the DSR approach, leveraging advanced techniques such as speed breeding and genome editing. Focusing on key traits like mesocotyl length elongation, early seedling vigor, root system architecture, and weed competitiveness holds promise for transformative improvements in DSR adaptation at a broader scale within farming communities. This review aims to summarize how these features contribute to increased crop production in DSR conditions and explore the research efforts focusing on enhancing DSR adaptation through these traits. Emphasizing the pivotal role of these game-changing traits in DSR adaptation, our analysis sheds light on their potential transformative impact and offers valuable insights for advancing DSR practices.

关键词： climate change direct-seeded rice aerobic rice early vigor trait

In-hospital outcomes in COVID-19 patients with non-alcoholic fatty liver disease by severity of obesity:Insights from national inpatient sample 2020

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World Journal of Hepatology 2024年第6期16卷 912-919页

作者： Sashwath Srikanth Vibhor Garg Lakshmi Subramanian jyoti Verma Hansika Sharma Harroop Singh Klair Shrenil A Kavathia Jithin Kolli Teja Nikhil Sai Vasireddy Kumar Anmol Dhanush Kolli Shruti Sanjay Bodhankar Sobya Hashmi Shaylika Chauhan Rupak Desai Department of Medicine ECU Health Medical CenterGreenvilleNC 27834United States Department of Medicine Jacobi Medical Center/Albert Einstein College of MedicineBronxNY 10461United States Department of Medicine North Alabama Medical CentreFlorenceAL 35630United States Department of General Medicine Gandhi Medical CollegeSecunderabad 500003TelanganaIndia Department of Medicine Government Medical CollegePatiala 147001PunjabIndia Department of Medicine B.J.Medical CollegeAhmedabad 380016GujaratIndia Department of Medicine JSS Medical CollegeMysore 570015KarnatakaIndia Department of Internal Medicine Gandhi Medical CollegeSecunderabad 500003TelanganaIndia Department of Medicine Kasturba Medical CollegeManipal 575001KarnatakaIndia Clinical Extern Department of Internal MedicineBeaumont HospitalDearbornMI 48124United States Department of Internal Medicine Geisinger Health SystemWilkes-BarrePA 18702United States Independent Researcher AtlantaGA 30079United States

BACKGROUND Non-alcoholic fatty liver disease(NAFLD)increases the risk of cardiovascular diseases independently of other risk ***,data on its effect on cardiovascular outcomes in coronavirus disease 2019(COVID-19)hospitalizations with varied obesity levels is *** management and patient care depend on understanding COVID-19 admission results in NAFLD patients with varying obesity *** To study the in-hospital outcomes in COVID-19 patients with NAFLD by severity of *** COVID-19 hospitalizations with NAFLD were identified using International Classification of Disease-10 CM codes in the 2020 National Inpatient Sample *** and Obesity Classes Ⅰ,Ⅱ,and Ⅲ(body mass index 30-40)were *** adverse cardiac and cerebrovascular events(MACCE)(all-cause mortality,acute myocardial infarction,cardiac arrest,and stroke)were compared between *** regression analyses adjusted for sociodemographic,hospitalization features,and *** Our analysis comprised 13260 hospitalizations,7.3% of which were overweight,24.3% Class Ⅰ,24.1% Class Ⅱ,and 44.3% Class Ⅲ.Class Ⅲ obesity includes younger patients,blacks,females,diabetics,and hypertensive *** multivariable logistic analysis,Class Ⅲ obese patients had higher risks of MACCE,inpatient mortality,and respiratory failure than Class Ⅰ obese *** Ⅱ obesity showed increased risks of MACCE,inpatient mortality,and respiratory failure than Class I,but not *** obesity classes had non-significant risks of MACCE,inpatient mortality,and respiratory failure compared to the overweight *** Class Ⅲ obese NAFLD COVID-19 patients had a greater risk of adverse outcomes than class Ⅰ.Using the overweight group as the reference,unfavorable outcomes were not significantly *** obesity had a greater risk of MACCE regardless of the referent group(overweight or Class Ⅰ obese)compared to overweight NAFLD patients admitte

关键词： Non-alcoholic fatty liver disease Obesity Obese Body mass index Major adverse cardiac and cerebrovascular events Mortality Acute myocardial infarction Cardiac arrest Stroke

均相和非均相催化微藻脂质提取和酯交换制备生物燃料的研究进展

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Chinese Journal of Catalysis 2024年第4期59卷 97-117页

作者： Vinoth Kumar Ponnumsamy Hussein E.Al-Hazmi Sutha Shobana Jeyaprakash Dharmaraja Dipak Ashok jadhav Rajesh Banu J Grzegorz Piechota Bartłomiej Igliński Vinod Kumar Amit Bhatnagar Kyu-Jung Chae Gopalakrishnan Kumar 高雄医科大学药物与应用化学系环境医学研究中心中国台湾高雄高雄医科大学医学研究部中国台湾高雄格但斯克理工大学土木与环境工程学院波兰纳鲁特维察格但斯克范朗大学工程与技术学院建筑绿色技术与可持续发展研究组越南胡志明市工程技术学院科学与人文系化学部印度泰米尔纳德邦韩国海洋大学海洋科学与工程学院环境工程系韩国釜山泰米尔纳德邦中央大学生命科学系印度泰米尔纳德邦 GPCHEM沼气研究与分析实验室波兰尼古拉斯哥白尼大学化学系波兰克兰菲尔德大学水与能源学院英国拉彭兰塔工业大学工程科学学院分离科学系芬兰韩国海洋大学海洋可再生能源工程专业韩国釜山延世大学土木与环境工程学院韩国首尔斯塔万格大学科学技术学院化学、生物科学与环境工程研究所挪威斯塔万格

随着化石燃料燃烧导致的二氧化碳排放不断加剧气候变化,且化石燃料储量日益减少,寻求可再生能源已成为一项紧迫的任务.其中,藻类衍生可持续燃料因具有成本优势和可运输性,在解决全球能源危机方面展现出广阔前景,备受关注.利用化学转化... 详细信息

随着化石燃料燃烧导致的二氧化碳排放不断加剧气候变化,且化石燃料储量日益减少,寻求可再生能源已成为一项紧迫的任务.其中,藻类衍生可持续燃料因具有成本优势和可运输性,在解决全球能源危机方面展现出广阔前景,备受关注.利用化学转化技术从微藻中提取脂质,并通过酯交换反应可以将其转化为脂肪酸甲酯,是生产绿色生物燃料的有效途径.这一过程涉及游离脂肪酸、磷脂和甘油三酯的提取,并且生产过程能耗低,成为满足日益增长的能源需求的一种理想解决方案.本文综述了微藻脂质提取和酯交换制备生物燃料的相关研究进展.首先,介绍了微藻脂质的提取方法,包括溶剂提取法、索氏提取法、布利格和戴耶法、超临界二氧化碳提取以及离子液体溶剂法等,并分析了各方法的优缺点.随后,重点阐述了酯交换技术在微藻脂质转化中的应用,包括酸碱催化、酶催化以及原位酯交换反应等,并探讨了这些技术的反应机理、催化剂选择、反应器设计以及生物油生产工艺等方面的研究进展.通过综述上述研究进展,为微藻脂质的生产和应用提供了理论指导.研究表明,通过优化催化剂种类、反应条件以及提取方法,可以有效提高微藻脂质的转化效率和生物油品质.同时,本文也指出了当前微藻脂质生产中面临的挑战,如微藻栽培和生长条件优化、高效转化技术的开发等.随着可持续能源日益受到重视,微藻脂质作为一种可再生能源具有巨大的发展潜力.未来研究应进一步关注微藻的规模化栽培、生长条件优化以及高效转化技术的研发,以提高微藻脂质的产量和品质.同时,应进一步推动和实现微藻生物燃料的实际应用,从而为应对气候变化和能源危机提供有效的解决方案.

关键词：微藻脂质提取酯交换催化酶催化原位技术

Remediation of polycyclic aromatic hydrocarbon-contaminated soils using microbes and nanoparticles: A review

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Pedosphere 2023年第1期33卷 93-104页

作者： Ritu PANWAR jyoti MATHUR Department of Bioscience and Biotechnology Banasthali VidyapithRajasthan 304022India

Polycyclic aromatic hydrocarbon(PAH)pollution is a global concern because of their toxicity to environment and ecosystem,which induces adverse effects on plants,animals,and *** are mainly released from natural and anthropogenic activities,such as incomplete fuel combustion,leakages in oil pipelines,and the extensive use of pesticides;PAH contaminants include petroleum hydrocarbons(PHCs),halogenated hydrocarbons,chlorophenols,and *** using microorganisms such as bacteria and fungi is developing as an effective and promising technique to remediate PAHs from the *** to their remediation efficiency,this method is environmentally friendly and represents a novel approach for reducing the risk of PAHs to human health and the *** may be applied in bioremediation,and will not only induce fewer toxic effects but also reduce the effective overall time and costs *** article provides a summary of the application of nanomaterials,bacteria,and fungi to PAH remediation;we review and briefly discuss the structure,properties,sources,fate,toxicity,and remediation approaches involved in the remediation of PAH-polluted sites.

关键词： bioremediation microorganisms pesticides persistent organic pollutants petroleum hydrocarbons

E-MOGWO Algorithm for Computation Offloading in Fog Computing

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Intelligent Automation & Soft Computing 2023年第4期36卷 1063-1078页

作者： jyoti Yadav Suman CSE Department Deenbandhu Chhotu Ram University of Science and TechnologyMurthal131039India

Despite the advances mobile devices have endured,they still remain resource-restricted computing devices,so there is a need for a technology that supports these *** emerging technology that supports such resource-con-strained devices is called fog *** devices can ofﬂoad the task to close-by fog nodes to improve the quality of service and *** com-putation ofﬂoading is a multiobjective problem,we need to consider many factors before taking ofﬂoading decisions,such as task length,remaining battery power,latency,communication cost,*** study uses the multiobjective grey wolf optimization(MOGWO)technique for optimizing ofﬂoading *** is theﬁrst time MOGWO has been applied for computation ofﬂoading in fog com-puting.A gravity reference point method is also integrated with MOGWO to pro-pose an enhanced multiobjective grey wolf optimization(E-MOGWO)***ﬁnds the optimal ofﬂoading target by taking into account two parameters,i.e.,energy consumption and computational time in a heterogeneous,scalable,multi-fog,multi-user *** proposed E-MOGWO is compared with MOG-WO,non-dominated sorting genetic algorithm(NSGA-II)and accelerated particle swarm optimization(APSO).The results showed that the proposed algorithm achieved better results than existing approaches regarding energy consumption,computational time and the number of tasks successfully executed.

关键词： Fog computing computation ofﬂoading computational time metaheuristic grey wolf optimization

Co-Occurrence Histogram Based Ensemble of Classifiers for Classification of Cervical Cancer Cells

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Journal of Electronic Science and Technology 2022年第3期20卷 270-281页

作者： Rajesh Yakkundimath Varsha jadhav Basavaraj Anami Naveen Malvade the Department of Computer Science and Engineering Karnataka Lingayat Education Institute of TechnologyHubballi580027India Department of Information Science and Engineering Shri Dharmasthala Manjunatheshwara College of Engineering and TechnologyDharwad580008India the Department of Information Science and Engineering Smt.Kamala&Sri.Venkappa M.Agadi College of Engineering and TechnologyLakshmeshwar582116India the Visvesvaraya Technological University Belagavi590018India

To explore the potential of conventional image processing techniques in the classification of cervical cancer cells, in this work, a co-occurrence histogram method was employed for image feature extraction and an ensemble classifier was developed by combining the base classifiers, namely, the artificial neural network(ANN),random forest(RF), and support vector machine(SVM), for image classification. The segmented pap-smear cell image dataset was constructed by the k-means clustering technique and used to evaluate the performance of the ensemble classifier which was formed by the combination of above considered base classifiers. The result was also compared with that achieved by the individual base classifiers as well as that trained with color, texture, and shape features. The maximum average classification accuracy of 93.44% was obtained when the ensemble classifier was applied and trained with co-occurrence histogram features, which indicates that the ensemble classifier trained with co-occurrence histogram features is more suitable and advantageous for the classification of cervical cancer cells.

关键词： Cervical cancer co-occurrence histogram ensemble classification k-means clustering

Bifurcation analysis and optimal control of an epidemic model with limited number of hospital beds

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International Journal of Biomathematics 2023年第4期16卷 229-253页

作者： A.K.Misra jyoti Maurya Department of Mathematics Institute of Science Banaras Hindu UniversityVaranasi 221005India

This paper deals with a three-dimensional nonlinear mathematical model to analyze an epidemic's future course when the public healthcare facilities,specifically the number of hospital beds,are *** feasibility and stability of the obtained equilibria are analyzed,and the basic reproduction number(Ro)is *** show that the system exhibits transcritical *** show the existence of Bogdanov-Takens bifurcation,we have derived the normal *** have also discussed a generalized Hopf(or Bautin)bifurcation at which the first Lyapunov coefficient *** show the existence of saddle-node bifurcation,we used Sotomayor's ***,we have identified an optimal layout of hospital beds in order to control the disease with minimum possible *** optimal control setting is studied analytically using optimal control theory,and numerical simulations of the optimal regimen are presented as well.

关键词： Hospital beds Hopf-bifurcation saddle-node bifurcation transcritical bifurcation Bogdanov-Takens bifurcation optimal control