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Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir,China

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Geoscience Frontiers 2024年第4期15卷 78-96页

作者： Lanbing Yu Yang Wang biswajeet pradhan Faculty of Engineering China University of GeosciencesWuhan 430074China Research Center of Geohazard Monitoring and Warning in the Three Gorges Reservoir Chongqing 404199China Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS) School of Civil and Environmental EngineeringFaculty of Engineering and ITUniversity of Technology SydneyUltimoNSW 2007Australia Earth Observation Centre Institute of Climate ChangeUniversiti Kebangsaan Malaysia43600 UKMBangiSelangorMalaysia

Different types of landslides exhibit distinct relationships with environmental conditioning ***,in regions where multiple types of landslides coexist,it is required to separate landslide types for landslide susceptibility mapping(LSM).In this paper,a landslideprone area located in Chongqing Province within the middle and upper reaches of the Three Gorges Reservoir area(TGRA),China,was selected as the study area.733 landslides were classified into three types:reservoir-affected landslides,non-reservoir-affected landslides,and *** landslide inventory datasets and 15 landslide conditional factors were trained by three Machine Learning models(logistic regression,random forest,support vector machine),and a Deep Learning(DL)*** comparing the models using receiver operating characteristics(ROC),the landslide susceptibility indexes of three types landslides were acquired by the best performing *** indexes were then used as input to generate the final map based on the Stacking *** results revealed that DL model showed the best performance in LSM without considering landslide types,achieving an area under the curve(AUC)of 0.854 for testing and 0.922 for ***,when we separated the landslide types for LSM,the AUC improved by 0.026 for testing and 0.044 for ***,this paper demonstrates that considering different landslide types in LSM can significantly improve the quality of landslide susceptibility *** maps in turn,can be valuable tools for evaluating and mitigating landslide hazards.

关键词： Landslide susceptibility mapping Deep learning model Landslide types Stacking method

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Structural,optical and dielectric investigations on RECr_(0.85)Mn_(0.15)O_(3)(RE=Ho,Gd and Pr) nanoparticles

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Journal of Rare Earths 2024年第2期42卷 399-408,I0006页

作者： Komal Kanwar Sonali pradhan S.Satapathy Yugandhar Bitla Neeraj Panwar Department of Physics Central University of Rajasthan BandarsindrAjmer305817RajasthanIndia Laser Material Section HBNIRaja Ramanna Centre for Advanced TechnologyIndore452013India

We hereby report the room-temperature structural and optical characterization of RECr_(0.85)Mn_(0.15)O_(3)(RECMO,RE=Ho,Gd and Pr) compounds synthesized by the auto-combustion sol-gel *** low temperature dielectric properties are also *** RECMO compounds crystallize in an orthorhombic Pbnm symmetry with an average grain size range of 51-80 *** analysis reveals an increase in the structural distortion compared to that of the undoped bulk *** measurements exhibit a significant reduction in bandgap values for RECMO nanoparticles when compared with their undoped bulk ***,from the absorbance measurements various optical parameters such as skin depth,extinction coefficient,refractive index and optical conductivity were also *** dielectric analysis confirms the lower values of the dielectric permittivity and dielectric loss than those of their corresponding bulk *** conductivity versus frequency and temperature data are fitted according to the Jonscher's power law and Arrhenius law,*** small polaron hopping is responsible for the electric conduction in these *** tunability of the optical and dielectric properties as a result of substitution and particle size reduction makes these materials useful for various potential applications in photocatalysis,optoelectronics and low permittivity dielectrics.

关键词： Rare-earth orthochromites Nanoparticles Optical properties Dispersion parameters Dielectric properties Small polaron hopping

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Performance and combustion study of a low heat rejection engine running with biogas–diethyl ether–diesel

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Waste Disposal and Sustainable Energy 2024年第1期6卷 151-162页

作者： Sanjaya K.Mishra Premananda pradhan Shakti P.Jena Department of Mechanical Engineering S‘O’A Deemed to be UniversityBhubaneswar751030India

The present research focuses on addressing the faster depletion of fossil fuels and environmental pollution in addition to the energy crisis that hinders the progress of a *** the current research,waste banana leaves were considered as substrates for biogas *** is taken as the primary fuel in dual fuel(DF)operations to maximize possible diesel *** performance and combustion assessment were executed in a low heat rejection(LHR)engine using 5%diethyl ether by volume blended with diesel(5DEE)as pilot *** combustion attributes of the engine reveal that the apex of net heat release rate(NHRR)curve retarded a bit as compared to apex of base *** peak cylinder pressure was noted to be 6.19 MPa in the LHR engine running with 5DEE+biogas at 11.7°crank angle(CA)after top dead center(aTDC)compared to 5.23 MPa for the diesel alone operation at the same *** apex point for NHRR was observed to be 54.51 J(°)^(−1)for 5DEE+biogas in LHR engine positioned at 3.2°*** brake thermal efficiency at full engine load operation decreased by 12.7%and 5.2%for biogas substitutions of 0.8 kg h^(−1)with diesel and 5DEE,respectively,compared to the base *** smoke opacity and nitric oxide emissions were reduced during the DF run accompanied by diethyl ether as a fuel additive.

关键词： Biogas Banana leaves Coating Diesel engine Diethyl ether Exhaust emissions

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Transcultural adaptation of Odia version of health-related kidney disease and quality of life-36 instrument

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Journal of Integrative Nursing 2024年第1期6卷 41-48页

作者： Rashmimala pradhan Pravati TRIPATHY Debaprasad KAR Department of Medical Surgical Nursing SUM Nursing CollegeSiksha‘O'Anusandhan(Deemed to be University)BhubaneswarOdishaIndia SUM Nursing College Siksha‘O'Anusandhan(Deemed to be University)BhubaneswarOdishaIndia Department of Nephrology IMS and SUM HospitalBhubaneswarOdishaIndia

Objective:The study objective was to translate,validate,and test the reliability of the original kidney disease and quality of life-36(KDQOL-36^(TM))instruments in *** and Methods:A cross-sectional design with a purposive sampling technique was *** to RAND Corporation guidelines,initially,the items of the KDQOL-36^(TM)questionnaires were translated into Odia by two independent,bilingual,professional translators,and then back-translated to English,followed by tryout and field *** experts validated the KDQOL-36^(TM)instrument review committee for review related to kidney health *** tool was implemented among 180 patients undergoing“maintenance”*** following tests evaluated reliability and validity:test-retest reliability with Cronbach’s alpha correlation(stability),(reliability)internal consistency,and contents validity ***:The Cronbach’s alpha value and intraclass correlation coefficient(ICC)score of all five domains,namely“physical component summary,mental component summary(MCS),the burden of kidney disease,symptoms and problems of kidney disease,and effects of kidney disease”of both KDQOL-36^(TM)English and Odia(KDQOL-36-E^(TM)and KDQOL-36-O^(TM))version,recommended excellent homogeneity.A high positive correlation(r=0.998)was found between the Odia version of KDQOL-36^(TM)and the English version KDQOL-36^(TM)*** ICC score ranges from 0.889 to 0.997 at a 95%confidence interval for test-retest reliability,and Cronbach’s alpha was ***:This study explores the Odia version of KDQOL-36^(TM)psychometric properties,depicted at an acceptable level of internal *** KDQOL-36-O^(TM)instrument is a valid and reliable tool for assessing the kidney disease-related quality of life in Odia-speaking hemodialysis patients.

关键词： Hemodialysis patients kidney disease and quality of life‑36 reliability transcultural validation

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A New Method for Diagnosis of Leukemia Utilizing a Hybrid DL-ML Approach for Binary and Multi-Class Classification on a Limited-Sized Database

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 593-631页

作者： Nilkanth Mukund Deshpande Shilpa Gite biswajeet pradhan Abdullah Alamri Chang-Wook Lee Department of Electronics&Telecommunication LavaleSymbiosis Institute of TechnologySymbiosis International(Deemed University)PuneMaharashtra412115India Electronics&Telecommunication Dr.Vithalrao Vikhe Patil College of EngineeringAhmednagarMaharashtra414111India Artificial Intelligence and Machine Learning Department Symbiosis Institute of TechnologySymbiosis International(Deemed)UniversityPune412115India Symbiosis Centre of Applied AI(SCAAI) Symbiosis International(Deemed)UniversityPune412115India Centre for AdvancedModelling and Geospatial Information Systems(CAMGIS) School of Civil and Environmental EngineeringFaculty of Engineering&ITUniversity of Technology SydneySydneyAustralia Earth Observation Centre Institute of Climate ChangeUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia Department of Geology&Geophysics College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia Department of Science Education Kangwon National UniversityChuncheon-si24341Korea

Infection of leukemia in humans causes many complications in its later *** impairs bone marrow’s ability to produce *** diagnosis of human blood cells is a well-known and well-proven technique for diagnosis in this *** binary classification is employed to distinguish between normal and leukemiainfected *** addition,various subtypes of leukemia require different *** sub-classes must also be detected to obtain an accurate diagnosis of the type of *** entails using multi-class classification to determine the leukemia *** is usually done using a microscopic examination of these blood *** to the requirement of a trained pathologist,the decision process is critical,which leads to the development of an automated software framework for *** utilized state-of-the-art machine learning approaches,such as Support Vector Machine(SVM),Random Forest(RF),Na飗e Bayes,K-Nearest Neighbor(KNN),and others,to provide limited accuracies of *** advanced deep-learning methods are also *** to constrained dataset sizes,these approaches result in over-fitting,reducing their outstanding *** study introduces a deep learning-machine learning combined approach for leukemia *** uses deep transfer learning frameworks to extract and classify features using state-of-the-artmachine learning *** transfer learning frameworks such as VGGNet,Xception,InceptionResV2,Densenet,and ResNet are employed as feature *** extracted features are given to RF and XGBoost classifiers for the binary and multi-class classification of leukemia *** the experimentation,a very popular ALL-IDB dataset is used,approaching a maximum accuracy of 100%.A private real images dataset with three subclasses of leukemia images,including Acute Myloid Leukemia(AML),Chronic Lymphocytic Leukemia(CLL),and Chronic Myloid Leukemia(CML),is also employed to generalize the *** d

关键词： Leukemia diagnosis deep learning machine learning random forest XGBoost

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Sodium glucose cotransporter 2 inhibitors in the management of heart failure:Veni,Vidi,and Vici

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World Journal of Cardiology 2024年第10期16卷 550-563页

作者： Monika Bhandari Akshyaya pradhan Pravesh Vishwakarma Abhishek Singh Rishi Sethi Department of Cardiology King Georg’s Medical UniversityLucknow 226003Uttar PradeshIndia

Heart failure(HF)is a chronic disease associated with high morbidity and mortality ***-angiotensin-aldosterone system blockers(including angiotensin receptor/neprilysin inhibitors),beta-blockers,and mineralocorticoid receptor blockers remain the mainstay of pharmacotherapy for HF with reduced ejection fraction(HFrEF).However,despite the use of guideline-directed medical therapy,the mortality from HFrEF remains *** with preserved ejection fraction(HFpEF)comprises approximately half of the total incident HF cases;however,unlike HFrEF,there are no proven therapies for this *** glucose cotransporter-2 inhibitors(SGLT-2is)represent a new class of pharmacological agents approved for diabetes mellitus(DM)that inhibit SGLT-2 receptors in the kidney.A serendipitous finding from seminal trials of SGLT-2is in DM was the significant improvement in renal and cardiovascular(CV)*** importantly,the improvement in HF hospitalization(HHF)in the CV outcomes trials of SGLT-2is was *** mechanisms have been proposed for the pleiotropic effects of SGLT-2is beyond their glycemic ***,as patients with HF were not included in any of these trials,it can be considered as a primary ***,two landmark studies of SGLT-2is in patients with HFrEF,namely,an empagliflozin outcome trial in patients with chronic HF and a reduced ejection fraction(EMPEROR-Reduced)and dapagliflozin and prevention of adverse outcomes in HF(DAPA-HF),demonstrated significant improvement in HHF and CV mortality regardless of the presence of *** impressive results pitchforked these drugs as class I indications in patients with HFrEF across major ***,empagliflozin outcome trial in patients with chronic HF with preserved ejection fraction(EMPEROR-Preserved)and dapagliflozin evaluation to improve the lives of patients with preserved ejection fraction HF(DELIVER)trials successively confirmed that SGLT-2is also benefit patients w

关键词： Heart failure with preserved ejection fraction Gliflozins Diuresis Natriuresis N terminal-pro brain natriuretic peptide Heart failure hospitalization

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Translocator protein and neurodegeneration: insights from Alzheimer’s disease

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Neural Regeneration Research 2025年第4期20卷 1090-1091页

作者： Arpit Kumar pradhan Rainer Rupprecht Gerhard Rammes Klinik für Anaesthesiologie und Intensivmedizin der Technischen Universität München Klinikum rechts der IsarMunichGermany Graduate School of Systemic Neurosciences Ludwig-Maximilians-Universität MünchenMartinsriedGermany Department of Psychiatry and Psychotherapy University RegensburgRegensburgGermany

The 18 kDa translocator protein(TSPO)located on the outer mitochondrial membrane regulates several key cellular processes including mitochondrial homeostasis,cholesterol transport,apoptosis,cell proliferation,and maintenance of mitochondrial health(Rupprecht et al.,2022,2023).TSPO is expressed in both peripheral organs and the central nervous system,with a more pronounced expression in tissues that produce *** main reason why TSPO has garnered so much attention is because it plays a key role in neurosteroidogenesis by transferring cholesterol from the outer to the inner mitochondrial membrane,which is the rate-limiting step in neurosteroid synthesis.A cholesterol-recognizing amino acid consensus domain has been identified in the cytosolic C terminus of the TSPO protein by both in vitro and site-directed mutagenesis experiments(Li et al.,2001).However,the role of TSPO in the process of neurosteroid synthesis has been challenged by several studies,particularly TSPO knockout models,which suggest that TSPO removal does not affect the phenotype or the system’s viability(Tu et al.,2014).However,ligands targeting TSPO have been shown to enhance levels of neurosteroids which suggests that neurosteroidogenesis is one of the major functional roles mediated by the TSPO protein.

关键词： cholesterol organs

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An Optimized System of Random Forest Model by Global Harmony Search with Generalized Opposition-Based Learning for Forecasting TBM Advance Rate

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2873-2897页

作者： Yingui Qiu Shuai Huang Danial Jahed Armaghani biswajeet pradhan Annan Zhou Jian Zhou School of Resources and Safety Engineering Central South UniversityChangsha410083China School of Civil and Environmental Engineering University of Technology SydneyNew South WalesAustralia Centre for Advanced Modelling and Geospatial Information Systems School of Civil and Environmental EngineeringFaculty of Engineering and Information TechnologyUniversity of Technology SydneyNew SouthWalesAustralia Civil and Infrastructure Engineering Discipline School of EngineeringRoyal Melbourne Institute of Technology(RMIT)MelbourneVictoria3001Australia

As massive underground projects have become popular in dense urban cities,a problem has arisen:which model predicts the best for Tunnel Boring Machine(TBM)performance in these tunneling projects?However,performance level of TBMs in complex geological conditions is still a great challenge for practitioners and *** the other hand,a reliable and accurate prediction of TBM performance is essential to planning an applicable tunnel construction *** performance of TBM is very difficult to estimate due to various geotechnical and geological factors and machine *** previously-proposed intelligent techniques in this field are mostly based on a single or base model with a low level of ***,this study aims to introduce a hybrid randomforest(RF)technique optimized by global harmony search with generalized oppositionbased learning(GOGHS)for forecasting TBM advance rate(AR).Optimizing the RF hyper-parameters in terms of,e.g.,tree number and maximum tree depth is the main objective of using the GOGHS-RF *** the modelling of this study,a comprehensive databasewith themost influential parameters onTBMtogetherwithTBM AR were used as input and output variables,*** examine the capability and power of the GOGHSRF model,three more hybrid models of particle swarm optimization-RF,genetic algorithm-RF and artificial bee colony-RF were also constructed to forecast TBM *** of the developed models was performed by calculating several performance indices,including determination coefficient(R2),root-mean-square-error(RMSE),and mean-absolute-percentage-error(MAPE).The results showed that theGOGHS-RF is a more accurate technique for estimatingTBMAR compared to the other applied *** newly-developedGOGHS-RFmodel enjoyed R2=0.9937 and 0.9844,respectively,for train and test stages,which are higher than a pre-developed ***,the importance of the input parameters was interpreted through the SHapley Additive exPlanations(SHA

关键词： Tunnel boring machine random forest GOGHS optimization PSO optimization GA optimization ABC optimization SHAP

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Area-Optimized BCD-4221 VSLI Adder Architecture for High-Performance Computing

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Journal of Harbin Institute of Technology(New Series) 2024年第3期31卷 31-38页

作者： Dharamvir Kumar Manoranjan pradhan Department of Electronics&Telecommunication Engineering Veer Surendra Sai University of TechnologyBurla 768018India

Decimal arithmetic circuits are promising to provide a solution for accurate decimal arithmetic operations which are not possible with binary arithmetic *** can be used in banking,commercial and financial transactions,scientific measurements,*** article presents the Very Large Scale Integration(VLSI)design of Binary Coded Decimal(BCD)-4221 area-optimized adder architecture using unconventional BCD-4221 *** BCD number representations such as BCD4221 also possess the additional advantage of more effectively representing the 10's complement representation which can be used to accelerate the decimal arithmetic *** design uses a binary Carry Lookahead Adder(CLA)along with some other logic blocks which are required to perform internal calculations with BCD-4221 *** design is verified by using Xilinx Vivado *** results have been obtained by Cadence Genus16.1 synthesis tool using 90 nm *** performance parameters such as area,power,delay,and area-delay Product(ADP)are compared with earlier reported *** proposed circuit shows significant area and ADP improvement over existing designs.

关键词： VLSI design unconventional BCD representation BCD adder circuit computer arithmetic digital circuit

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Artificial Intelligence:A new era for spatial modelling and interpreting climate-induced hazard assessment

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Geoscience Frontiers 2024年第4期15卷 1-13页

作者： Abhirup Dikshit biswajeet pradhan Sahar S.Matin Ghassan Beydoun M.Santosh Hyuck-Jin Park Khairul Nizam Abdul Maulud Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS) School of Civil&Environmental EngineeringFaculty of Engineering and ITUniversity of Technology SydneyNSW 2007Australia Earth Observation Center Institute of Climate ChangeUniversiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Department of Energy and Mineral Resources Engineering Sejong UniversityChoongmu-gwan209 Neungdong-roGwangjin-guSeoul 05006Republic of Korea School of Earth Sciences and Resources China University of Geosciences BeijingXueyuan RoadBeijing 100083China Department of Earth Sciences University of AdelaideAdelaideSouth AustraliaAustralia Faculty of Science Kochi UniversityKochi 780-8520Japan

The application of Artificial Intelligence in various fields has witnessed tremendous progress in the recent *** field of geosciences and natural hazard modelling has also benefitted immensely from the introduction of novel algorithms,the availability of large quantities of data,and the increase in computational *** enhancement in algorithms can be largely attributed to the elevated complexity of the network architecture and the heightened level of abstraction found in the network's later *** a result,AI models lack transparency and accountability,often being dubbed as"black box"*** AI(XAI)is emerging as a solution to make AI models more transparent,especially in domains where transparency is *** discussion surrounds the use of XAI for diverse purposes,as researchers explore its applications across various *** the growing body of research papers on XAI case studies,it has become increasingly important to address existing gaps in the *** current literature lacks a comprehensive understanding of the capabilities,limitations,and practical implications of *** study provides a comprehensive overview of what constitutes XAI,how it is being used and potential applications in hydrometeorological natural *** aims to serve as a useful reference for researchers,practitioners,and stakeholders who are currently using or intending to adopt XAI,thereby contributing to the advancements for wider acceptance of XAI in the future.

关键词： Artificial Intelligence Explainable AI(XAI) Climate change Spatial modelling Natural hazards

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