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Journal of Mountain Science 2022年第7期19卷 1988-1997页

作者： Raju rai ZHANG Yi-li WANG Zhao-feng Basanta PAUDEL LIU Lin-shan mohan kumar rai Narendra Raj KHANAL Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China University of Chinese Academy of Sciences Beijing100049China Institute of Fundamental Research and Studies Kathmandu44600Nepal Kathmandu Center for Research and Education Chinese Academy of Sciences-Tribhuvan UniversityKirtipurKathmandu44613Nepal

The Gandaki River Basin(GRB),located in the central Himalaya,provides habitats for a large number of important flora and fauna *** habitats of key protected species have changed over time as a result of climate changes and human activities related to land use change,including the development of *** study assessed the present and future distributions of sloth bear(Melursus ursinus)habitats using the maximum entropy(Max Ent)*** data,a digital elevation model and roads were used as environmental layers to assess current and future distributions of *** show that the overall habitat within the study area is likely to undergo important changes in the *** 8(the mean temperature of the wettest quarter)and slope were found to be important variables affecting the distribution of the *** habitats very highly suitable for sloth bears currently cover an area of 148 km^(2) within the *** habitats are predicted to increase by 122 km^(2) more by ***,a net change by 680.38 km^(2) was found in the *** measures are necessary for this key protected species and its habitat within the GRB and elsewhere in Nepal.

关键词： Sloth bear Melursus ursinus Habitat prediction Max Ent Gandaki River Basin Himalays

Machine learning for predicting the outcome of terminal ballistics events

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Defence Technology（防务技术） 2024年第1期31卷 14-26页

作者： Shannon Ryan Neeraj mohan Sushma Arun kumar AV Julian Berk Tahrima Hashem Santu Rana Svetha Venkatesh Applied Artificial Intelligence Institute(A2I2) Deakin University75 Pigdons RdWaurn PondsVIC3216Australia

Machine learning(ML) is well suited for the prediction of high-complexity,high-dimensional problems such as those encountered in terminal *** evaluate the performance of four popular ML-based regression models,extreme gradient boosting(XGBoost),artificial neural network(ANN),support vector regression(SVR),and Gaussian process regression(GP),on two common terminal ballistics’ problems:(a)predicting the V50ballistic limit of monolithic metallic armour impacted by small and medium calibre projectiles and fragments,and(b) predicting the depth to which a projectile will penetrate a target of semi-infinite *** achieve this we utilise two datasets,each consisting of approximately 1000samples,collated from public release *** demonstrate that all four model types provide similarly excellent agreement when interpolating within the training data and diverge when extrapolating outside this *** extrapolation is not advisable for ML-based regression models,for applications such as lethality/survivability analysis,such capability is *** circumvent this,we implement expert knowledge and physics-based models via enforced monotonicity,as a Gaussian prior mean,and through a modified loss *** physics-informed models demonstrate improved performance over both classical physics-based models and the basic ML regression models,providing an ability to accurately fit experimental data when it is available and then revert to the physics-based model when *** resulting models demonstrate high levels of predictive accuracy over a very wide range of projectile types,target materials and thicknesses,and impact conditions significantly more diverse than that achievable from any existing analytical *** with numerical analysis tools such as finite element solvers the ML models run orders of magnitude *** provide some general guidelines throughout for the development,application,and reporting of ML models in terminal ballist

关键词： Machine learning Artificial intelligence Physics-informed machine learning Terminal ballistics Armour

Photonic properties and applications of multi-functional organo-lanthanide complexes:Recent advances

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Journal of Rare Earths 2024年第1期42卷 16-27,I0001页

作者： Virender Archana Chauhan Ashwani kumar Gurjaspreet Singh Alexander A.Solovev Jichuan Xiong Xuefeng Liu Brij mohan Department of Chemistry Kurukshetra University KurukshetraKurukshetra136119India Aggarwal College Ballabhgarh121004Department of Higher EducationHaryanaIndia Department of Chemistry&Centre for Advanced Studies in Chemistry Panjab UniversityChandigarh160014India Department of Materials Science Fudan UniversityShanghai200433China School of Electronic and Optical Engineering Nanjing University of Science and TechnologyNanjing210094China College of Ocean Food and Biological Engineering Jimei UniversityXiamen361021China

Lanthanides(Ln(Ⅲ))based compounds as light-emitting materials have emerged as successful agents in high-performance defense and lighting systems,magnets,bio-markers,and ***,they have recently gained much attention as energy-saving and cost-effective luminescent materials and their applications in analyte *** present review summarizes powerful features and recent developments of organo-lanthanide complexes in lighting applications with a particular focus on visible light emitters,including Eu(Ⅲ),Tb(Ⅲ),Sm(Ⅲ),and Dy(Ⅲ)*** addition,this review discusses the most relevant aspects of photosensitization,such as the structure,property,functionalization of primary and secondary ligands,and molecular *** addition,coordination sites of organo-lanthanide complexes and their applications collectively contribute to the improved performance of innovative luminescent ***,the current challenges and key recommendations for advancing organolanthanides in material science are provided.

关键词： Lanthanides Organometallic Luminescent Lifetime OLED Rare earths

Comparison of the Anatomy and Adaptability of Reconstructed Teeth with Natural Teeth:An Innovative Approach in Forensic Dentistry

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Journal of Forensic Science and Medicine 2024年第1期10卷 47-54页

作者： Supraja S P M Tejaswi Ravikanth Manyam mohan kumar Pasupuleti Swetha P Ramesh kumar Budumuru Department of Oral and Maxillofacial Pathology Vishnu Dental CollegeBhimavaramAndhra PradeshIndia Vishnu Dental College BhimavaramAndhra PradeshIndia Department of Periodontics and Implantology Vishnu Dental CollegeBhimavaramAndhra PradeshIndia Department of Oral Medicine and Radiology Vishnu Dental CollegeBhimavaramAndhra PradeshIndia

Background:Forensic tooth reconstruction is the technique of reconstructing the morphology of a missing tooth from the intra-alveolar morphology of dental sockets from skeletal *** and Objectives:The aim and objective of the study are to compare and investigate whether the anatomy and adaptability of reconstructed teeth simulate with the natural tooth and to investigate whether the dental materials have potential in reconstruction of *** and Methods:An in vitro experimental study was undertaken on a human *** to the Fédération Dentaire Internationale,charting will be done based on the number of teeth *** entire study will be conducted in three phases using dental *** 1 comprised preparation for negative replica,where an impression will be taken,Phase 2 comprised preparation of a positive replica or cast,and Phase 3 comprised tooth reconstruction using the flowable ***:The specimen tooth(which had been taken from its socket)and the newly constructed tooth were compared,and when the length of the newly constructed root was measured using digital vernier calipers,there was a disparity of 0.5-1 *** cone-beam computed tomography radiographs demonstrated the necessary ***:The present study demonstrated that dental information can be obtained even when teeth are absent postmortem by making an attempt to recreate the teeth using dental materials while documenting the intra-alveolar anatomy of the dental root socket.

关键词： Adaptability anatomy reconstruction teeth

An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems

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Big Data Mining and Analytics 2024年第2期7卷 399-418页

作者： Sankaramoorthy Muthubalaji Naresh kumar Muniyaraj Sarvade Pedda Venkata Subba Rao Kavitha Thandapani Pasupuleti Rama mohan Thangam Somasundaram Yousef Farhaoui Department of Electrical and Electronics Engineering CMR College of Engineering&TechnologyHyderabad 501401India Department of Electronics and Communication Engineering Vardhaman College of Engineering KacharamShamshabad 501218India Department of Electronics and Communication Engineering Sreenidhi Institute of Science and TechnologyHyderabad 501301India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai 600062India Department of Electrical and Electronics Engineering Bharat Institute of Engineering and TechnologyHyderabad 501510India Department of Computer Science and Engineering Amrita School of ComputingAmrita Vishwa VidhyapeethamBengaluru 560035India T-IDMS Department of Computer ScienceFaculty of Sciences and TechniquesMoulay Ismail UniversityErrachidia 52000Morocco

Big data has the ability to open up innovative and ground-breaking prospects for the electrical grid,which also supports to obtain a variety of technological,social,and financial *** is an unprecedented amount of heterogeneous big data as a consequence of the growth of power grid technologies,along with data processing and advanced *** main obstacles in turning the heterogeneous large dataset into useful results are computational burden and information *** original contribution of this paper is to develop a new big data framework for detecting various intrusions from the smart grid systems with the use of AI ***,an AdaBelief Exponential Feature Selection(AEFS)technique is used to efficiently handle the input huge datasets from the smart grid for boosting ***,a Kernel based Extreme Neural Network(KENN)technique is used to anticipate security vulnerabilities more *** Polar Bear Optimization(PBO)algorithm is used to efficiently determine the parameters for the estimate of radial basis ***,several types of smart grid network datasets are employed during analysis in order to examine the outcomes and efficiency of the proposed AdaBelief Exponential Feature Selection-Kernel based Extreme Neural Network(AEFS-KENN)big data security *** results reveal that the accuracy of proposed AEFS-KENN is increased up to 99.5%with precision and AUC of 99%for all smart grid big datasets used in this study.

关键词： smart grid Machine Learning(ML) big data analytics AdaBelief Exponential Feature Selection(AEFS) Polar Bear Optimization(PBO) Kernel Extreme Neural Network(KENN)

Downwash airflow distribution pattern of hexa-copter unmanned aerial vehicles

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International Journal of Agricultural and Biological Engineering 2024年第4期17卷 24-34页

作者： Dengeru Yallappa Ramasamy Kavitha Allimuthu Surendrakumar Kannan Balaji Balakrishnan Suthakar Ayyasamy Paramasivam mohan kumar Yathendranaik Ravi Narayananaik Ashoka kumar Kavan Department of Farm Machinery and Power Engineering Agricultural Engineering College and Research InstituteTamil Nadu Agricultural UniversityCoimbatore

In recent times,the use of vertical take-off and landing(VTOL)multi-rotor Unmanned Aerial Vehicle(UAVs)for spraying chemical pesticides against weeds and pests has recently become *** current aerial spray application research is primarily focused on examining the influence of UAV spraying parameters such as flight height,travel speed,rotor configuration,droplet size,payload and wind *** downwash airflow velocity generated by the UAV rotor propeller has a significant impact on the droplet deposition process.A test rig was developed to measure the downwash airflow pattern generated by the rotor propeller of a *** this investigation,a six-rotor electric autonomous UAV sprayer was used to investigate the parameters and distribution laws of downwash airflow *** downwash airflow velocity was measured using portable anemometers mounted on the test rig at radial positions viz.,0 m,0.5 m,1 m,1.5 m and 2 m,perpendicular to(X)and parallel to the UAV’s flight direction(Y).The experiment was conducted at three levels of hover height,viz.,1 m,2 m and 3 m(Z)and three levels of payload,viz.,0 kg,5 kg,and 10 *** special downwash airflow distribution pattern was analysed using the Python programming language(Version 3.7).Results show that the downwash airflow velocity generated by the radial position of the UAV rotor is evenly distributed on the rotating loop and the standard deviation of the downwash airflow velocity is less than 0.5 m/*** maximum downwash airflow velocity of 13.8 m/s was observed below the rotor at 10 kg payload capacity,1 m hover height(Z),and 0.5 m in the *** minimum downwash wind field of 0.3 m/s was observed at 0 kg pay load capacity,1 m height,and 2 m in the *** downwash airflow velocity along each position in the radial direction of the rotor increases initially and then *** downwash airflow distribution results helps in mounting of spray nozzle configuration to drone sprayer which helps to

关键词： downwash air payload rotor propeller flight height distribution analysis flight direction

Determining the Checkpoint of Transition from Thin to Thick Periodontal Phenotypes in the Maxillary and Mandibular Anterior Regions of South Indian Population

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Journal of Forensic Science and Medicine 2024年第1期10卷 55-61页

作者： mohan kumar Pasupuleti Rasagna Chowdary G Gautami SPenmetsa Vivek Bypalli Ramesh S.V.Konathala Sruthima N.V.S.Gottumukkala Department of Periodontics and Implantology Vishnu Dental CollegeBhimavaramAndhra PradeshIndia2Vishnu Dental CollegeBhimavaramAndhra PradeshIndia

Aim:The aim of this study was to compare and investigate the tissue thickness at the maxillary and mandibular central incisors utilizing the probe visibility method and traditional way of measuring gingival thickness(GT)by endodontic ***:In 200 selected patients,the GT was measured at both the maxillary and mandibular anterior using an endodontic file after local infiltration at the mid-distance from the gingival margin to the mucogingival *** checkpoint of transition from thin to thick periodontal phenotype was determined by probe visibility method in the following age groups:Group A:21-30 years;Group B:31-40 years;Group C:41-50 years;and Group D:51-60 ***:GT varied from 0.3 to 1.9 *** translucency was observed up to the thickness of 0.7 *** 0.8 mm of GT,there was no probe ***:According to the present research,the gingiva appears transparent up to a thickness of around 0.7 *** checkpoint of transition between thin and thick periodontal phenotypes at both the maxillary and mandibular anterior was associated with a GT of 0.8 mm.

关键词： Gingiva periodontal phenotype probe visibility

Assessing foundation behaviour under complex loading near tunnels

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Journal of Mountain Science 2024年第10期21卷 3503-3520页

作者： Piyush kumar Vinay Bhushan CHAUHAN Aayush kumar Civil Engineering Department Madan Mohan Malaviya University of TechnologyGorakhpur 273010India

The stability of strip footings subjected to eccentrically inclined loads is critical for reliable foundation *** study investigates the effect of a circular unlined tunnel in a rock mass on the ultimate bearing capacity(UBC)of a foundation with width B under inclined and eccentric *** finite element limit analysis was employed to evaluate the reduction in UBC of the footing resting above a *** examined critical parameters include normalized load eccentricity(e/B),load inclination(β),and horizontal and vertical distances of the tunnel from the foundation(P/B and Q/B,respectively),along with rock mass *** results reveal that for e/B≥0.25 and≤60°,the reduction coefficient,Rc≥0.90,suggesting that the presence of a tunnel has a minimal impact on the load-bearing capacity of the footing,with failure primarily governed by load eccentricity and ***,potential failure mechanisms are explored,showing that at lower e/B,higherβ,and lower Q/B,the tunnel significantly affects footing's failure ***,at higher e/B and lowerβ,failure is due to rotational effects of footing,regardless of the tunnel's *** predict the Rc more accurately,due to the time-consuming nature of direct calculations,both MLR and ANN models were *** MLR model provided a baseline for comparison,while the ANN model,with a coefficient of determination(R2)of 0.98,demonstrated superior accuracy compared to the R2=0.96 of *** both approaches ensured robust and efficient predictions of *** Rc does not directly provide the reduced UBC of footing due to presence of tunnel,the study introduced bearing capacity factor(Nc)to enable direct calculation of the reduced UBC of *** findings offer theoretical guidelines for preliminary design and provide practitioners with an effective tool for evaluating UBC reduction in complex loading scenarios involving tunnels.

关键词： Unlined tunnel Shallow foundation FELA Rock Mass ANN MLR

Role of fecal microbiota transplant in management of hepatic encephalopathy: Current trends and future directions

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World Journal of Hepatology 2024年第1期16卷 17-32页

作者： Yash R Shah Hassam Ali Angad Tiwari David Guevara-Lazo Natalia Nombera-Aznaran Bhanu Siva mohan Pinnam Manesh kumar Gangwani Harishankar Gopakumar Amir H Sohail SriLakshmiDevi Kanumilli Ernesto Calderon-Martinez Geetha Krishnamoorthy Nimish Thakral Dushyant Singh Dahiya Department of Internal Medicine Trinity Health Oakland/Wayne State UniversityPontiacMI 48341United States Division of Gastroenterology and Hepatology East Carolina University/Brody School of MedicineGreenvilleNC 27858United States Department of Internal Medicine Maharani Laxmi Bai Medical CollegeJhansi 284001India Faculty of Medicine Universidad Peruana Cayetano HerediaLima 15102Peru Department of Internal Medicine John H.Stroger Hospital of Cook CountyChicagoIL 60612United States Department of Internal Medicine The University of ToledoToledoOH 43606United States Department of Gastroenterology and Hepatology University of Illinois College of Medicine at PeoriaPeoriaIL 61605United States Department of Surgery University of New MexicoAlbuquerqueNM 87106United States Department of Internal Medicine GSL Medical CollegeRajamahendravaram 533296India Department of Internal Medicine Universidad Nacional Autonoma de MexicoCiudad De Mexico 04510Mexico Department of Digestive Diseases and Nutrition University of KentuckyLexingtonKY 40536United States Division of Gastroenterology Hepatology&MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States

Fecal microbiota transplantation(FMT)offers a potential treatment avenue for hepatic encephalopathy(HE)by leveraging beneficial bacterial displacement to restore a balanced gut *** prevalence of HE varies with liver disease severity and *** pathogenesis involves ammonia toxicity,gut-brain communication disruption,and *** aims to restore gut microbiota balance,addressing these ***'s efficacy has been explored in various conditions,including *** suggest that FMT can modulate gut microbiota,reduce ammonia levels,and alleviate *** has shown promise in alcohol-associated,hepatitis B and C-associated,and non-alcoholic fatty liver *** include improved liver function,cognitive function,and the slowing of disease ***,larger,controlled studies are needed to validate its effectiveness in these *** have shown cognitive improvements through FMT,with potential benefits in cirrhotic ***,trials have demonstrated reduced serious adverse events and cognitive enhancements in FMT arms compared to the standard of *** evidence is promising,challenges remain:Limited patient numbers,varied dosages,administration routes,and donor *** large-scale,controlled trials are essential to establish standardized guidelines and ensure FMT's clinical applications and *** FMT holds potential for HE management,ongoing research is needed to address these challenges,optimize protocols,and expand its availability as a therapeutic option for diverse hepatic conditions.

关键词： Hepatic encephalopathy Fecal microbiota transplant Cognitive impairment Liver cirrhosis Chronic liver disease

Expression profile of cholecystokinin type-A receptor in gallbladder cancer and gallstone disease

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Hepatobiliary & Pancreatic Diseases International 2011年第4期10卷 408-414页

作者： Rajani rai Mallika Tewari mohan kumar Tej Bali Singh Hari S Shukla Department of Surgical Oncology the Institute of Medical SciencesBanaras Hindu UniversityVaranasi 221005 (UP)India Department of Pathology the Institute of Medical SciencesBanaras Hindu UniversityVaranasi 221005 (UP)India Department of Community Medicine the Institute of Medical SciencesBanaras Hindu UniversityVaranasi 221005 (UP)India

BACKGROUND:Regulatory peptide receptors have attracted the interest of oncologists as a new promising approach for cancer pathology,imaging and *** cholecystokinin (CCK) is a potent modulator of gallbladder contractility and plays a potential role in pancreatic carcinogenesis through CCK type-A receptor (CCKAR),its role in gallbladder cancer (GBC) is still unknown and immunohistochemical detection of CCKAR in the gallbladder has not yet been *** novel case-control study aimed to investigate the expression profile of CCKAR in GBC and gallstone disease (GSD).METHODS:This study included 162 samples of gallbladder:94 from GBC and 68 from *** of CCKAR was analyzed by immunohistochemistry and *** results were statistically correlated with disease history including age,sex,presence of gallstone,stage and ***:CCKAR was positive in 30/68 (44.1%) of GSD and 72/94 (76.6%) of GBC ***-one of the 72 (70.8%) CCKAR-positive GBC samples showed ***,consistent results also appeared in the immunoblotting ***:CCKAR expression was significantly increased in GBC compared to ***,CCKAR expression was associated with the degree of tumor differentiation,i.e.,less expression in poorly-differentiated ***,it has future prognostic and therapeutic implications in the management of GBC.

关键词： cholecystokinin cholecystokinin type-A receptor gallbladder cancer gallstone disease