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Energy Geoscience 2024年第1期5卷 121-140页

作者： Kamalia Norjannah Kamalrulzaman Mohamed Ragab Shalaby md Aminul Islam Department of Geosciences Faculty of ScienceUniversiti Brunei DarussalamBrunei Darussalam Geology Department Faculty of ScienceTanta UniversityTanta31527Egypt

Increasing demand for energy due to the populous Eastern Australia has driven oil and gas industries to find new sources of hydrocarbons as they are the primary energy *** study has been done on the Volador Formation in the Gippsland Basin by means of core-based petrophysical,sedimentological,and petrographic analyses as well as well log-based interpretation and capillary pressure *** wells from Kipper,Basker and Tuna fields with available dataset were investigated in this study:Kipper-1,Basker-1,Basker-2,Basker-5 and ***,the formation has good reservoir quality based on the high porosity and permeability values obtained through core and well log petrophysical *** formation made up of mostly moderate to coarse quartz grains that has experienced strong anti-compaction and is poorly *** and illite clays are seen dispersed in the rock formation,with the minority being mixed *** clays and diagenetic features including kaolinite cement and quartz overgrowth that can lead to porosity reduction only have insignificant impact on the overall reservoir *** addition,capillary pressure data shows that most samples are found in the transition to good reservoir zones(<50%saturation).The results obtained from this study have shown that the Volador Formation in the Gippsland Basin is worth for hydrocarbon exploration.

关键词： Volador formation Reservoir rock characterization Core-based Petrographic Well log based Capillary pressure

Improving Prediction Efficiency of Machine Learning Models for Cardiovascular Disease in IoST-Based Systems through Hyperparameter Optimization

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Computers, Materials & Continua 2024年第9期80卷 3485-3506页

作者： Tajim md.Niamat Ullah Akhund Waleed M.Al-Nuwaiser Department of Computer Science and Engineering(CSE) Daffodil International UniversityDhaka1216Bangladesh Graduate School of Science and Engineering Saga UniversitySaga8408502Japan Computer Science Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11623Saudi Arabia

This study explores the impact of hyperparameter optimization on machine learning models for predicting cardiovascular disease using data from an IoST(Internet of Sensing Things)*** distinct machine learning approaches were implemented and systematically evaluated before and after hyperparameter *** improvements were observed across various models,with SVM and Neural Networks consistently showing enhanced performance metrics such as F1-Score,recall,and *** study underscores the critical role of tailored hyperparameter tuning in optimizing these models,revealing diverse outcomes among *** Trees and Random Forests exhibited stable performance throughout the *** enhancing accuracy,hyperparameter optimization also led to increased execution *** representations and comprehensive results support the findings,confirming the hypothesis that optimizing parameters can effectively enhance predictive capabilities in cardiovascular *** research contributes to advancing the understanding and application of machine learning in healthcare,particularly in improving predictive accuracy for cardiovascular disease management and intervention strategies.

关键词： Internet of sensing things(IoST) machine learning hyperparameter optimization cardiovascular disease prediction execution time analysis performance analysis wilcoxon signed-rank test

Vision Intelligence for Smart Sheep Farming: Applying Ensemble Learning to Detect Sheep Breeds

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Artificial Intelligence in Agriculture 2024年第1期11卷 1-12页

作者： Galib Muhammad Shahriar Himel md Masudul Islam Mijanur Rahaman Bangladesh University of Business and Technology DhakaBangladesh

The ability to automatically recognize sheep breeds holds significant value for the sheep *** farmers often require breed identification to assess the commercial worth of their ***,many farmers specifically the novice one encounter difficulties in accurately identifying sheep breeds without experts in the ***,there is a need for autonomous approaches that can effectively and precisely replicate the breed identification skills of a sheep breed expert while functioning within a farm environment,thus providing considerable benefits the industry-specific to the novice farmers in the *** achieve this objective,we suggest utilizing a model based on convolutional neural networks(CNNs)which can rapidly and efficiently identify the type of sheep based on their facial *** approach offers a cost-effective *** conduct our experiment,we utilized a dataset consisting of 1680 facial images which represented four distinct sheep *** paper proposes an ensemble method that combines Xception,VGG16,InceptionV3,InceptionResNetV2,and DenseNet121 *** the transfer learning using this pre-trained model,we applied several optimizers and loss functions and chose the best combinations out of *** classification model has the potential to aid sheep farmers in precisely and efficiently distinguishing between various breeds,enabling more precise assessments of sector-specific classification for different businesses。

关键词： Computer vision Sheep breed classification Image processing Transfer learning Ensemble learning Meta learner

Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis:Evidence from Shimla district of North-west Indian Himalayan region

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Journal of Mountain Science 2024年第7期21卷 2368-2393页

作者： SHARMA Aastha SAJJAD Haroon RAHAMAN md Hibjur SAHA Tamal Kanti BHUYAN Nirsobha Department of Geography Faculty of SciencesJamia Millia IslamiaNew Delhi-110025India

The Indian Himalayan region is frequently experiencing climate change-induced ***,landslide susceptibility assessment assumes greater significance for lessening the impact of a landslide *** paper makes an attempt to assess landslide susceptibility in Shimla district of the northwest Indian Himalayan *** examined the effectiveness of random forest(RF),multilayer perceptron(MLP),sequential minimal optimization regression(SMOreg)and bagging ensemble(B-RF,BSMOreg,B-MLP)models.A landslide inventory map comprising 1052 locations of past landslide occurrences was classified into training(70%)and testing(30%)*** site-specific influencing factors were selected by employing a multicollinearity *** relationship between past landslide occurrences and influencing factors was established using the frequency ratio *** effectiveness of machine learning models was verified through performance *** landslide susceptibility maps were validated by the area under the receiver operating characteristic curves(ROC-AUC),accuracy,precision,recall and *** key performance metrics and map validation demonstrated that the BRF model(correlation coefficient:0.988,mean absolute error:0.010,root mean square error:0.058,relative absolute error:2.964,ROC-AUC:0.947,accuracy:0.778,precision:0.819,recall:0.917 and F-1 score:0.865)outperformed the single classifiers and other bagging ensemble models for landslide *** results show that the largest area was found under the very high susceptibility zone(33.87%),followed by the low(27.30%),high(20.68%)and moderate(18.16%)susceptibility *** factors,namely average annual rainfall,slope,lithology,soil texture and earthquake magnitude have been identified as the influencing factors for very high landslide *** texture,lineament density and elevation have been attributed to high and moderate ***,the study calls for devising suitable landslide mitig

关键词： Landslide susceptibility Site-specific factors Machine learning models Hybrid ensemble learning Geospatial techniques Himalayan region

Glucagon-like-peptide-1 receptor agonists and the management of type 2 diabetes-backwards and forwards

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World Journal of Diabetes 2024年第3期15卷 326-330页

作者： Michael Horowitz Lu Cai md Shahidul Islam Department of Medicine University of AdelaideAdelaide 5005Australia Pediatric Research Institute University of LouisvilleLouisvilleKY 40202United States Department of Biochemistry School of Life SciencesUniversity of KwaZulu-NatalDurban 4000KwaZulu-NatalSouth Africa

This editorial is stimulated by the article by Alqifari et al published in the World Journal of Diabetes(2024).Alqifari et al focus on practical advice for the clinical use of glucagon-like-peptide-1(GLP-1)receptor agonists(GLP-1RAs)in the management of type 2 diabetes and this editorial provides complementary *** initially give a brief historical perspective of the development of GLP-1RAs stimulated by recognition of the‘incretin effect’,the substantially greater insulin increase to enteral when compared to euglycaemic intravenous glucose,and the identification of the incretin hormones,GIP and *** addition to stimulating insulin,GLP-1 reduces postprandial glucose levels by slowing gastric ***-1RAs were developed because native GLP-1 has a very short plasma *** majority of current GLP-1RAs are administered by subcutaneous injection once a *** are potent in glucose lowering without leading to hypoglycaemia,stimulate weight loss in obese individuals and lead to cardiovascular and renal *** landscape in relation to GLP-1RAs is broadening rapidly,with different formulations and their combination with other peptides to facilitate both glucose lowering and weight *** is a need for more information relating to the effects of GLP-1RAs to induce gastrointestinal symptoms and slow gastric emptying which is likely to allow their use to become more effective and personalised.

关键词： Glucagon-like-peptide-1 Glucose-dependent insulinotropic peptide Gastric emptying Type 2 diabetes

Learning from the COVID-19 pandemic:A systematic review of mathematical vaccine prioritization models

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Infectious Disease Modelling 2024年第4期9卷 1057-1080页

作者： Gilberto Gonzalez-Parra md Shahriar Mahmud Claus Kadelka Instituto de Matematica Multidisciplinar Universitat Politecnica de ValenciaValenciaSpain Department of Mathematics New Mexico Tech801 Leroy PlaceSocorro87801NMUSA Department of Mathematics Iowa State University411 Morrill RdAmes50011IAUSA

As the world becomes ever more connected,the chance of pandemics increases as *** recent COVID-19 pandemic and the concurrent global mass vaccine roll-out provides an ideal setting to learn from and refine our understanding of infectious disease models for better future *** this review,we systematically analyze and categorize mathematical models that have been developed to design optimal vaccine prioritization strategies of an initially limited *** older individuals are disproportionately affected by COVID-19,the focus is on models that take age explicitly into *** lower mobility and activity level of older individuals gives rise to non-trivial *** research questions concern the optimal time interval between vaccine doses and spatial vaccine *** review showcases the effect of various modeling assumptions on model outcomes.A solid understanding of these relationships yields better infectious disease models and thus public health decisions during the next pandemic.

关键词： Review Mathematical model Age COVID-19 Vaccine allocation Vaccine roll-out

Photon orbits and phase transition for Letelier AdS black holes immersed in perfect fluid dark matter

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Chinese Physics C 2024年第6期48卷 247-259页

作者： Ashima Sood md Sabir Ali J.K.Singh Sushant G.Ghosh Department of Mathematics Netaji Subhas University of TechnologyNew Delhi-110078India Centre for Theoretical Physics Jamia Millia IslamiaNew Delhi 110025India Department of Physics Mahishadal Raj CollegePurba MedinipurWest Bengal721628India Institute of Theoretical Physics&Research Center of Gravitation Lanzhou UniversityLanzhou 730000China Key Laboratory of Quantum Theory and Applications of MoE Lanzhou UniversityLanzhou 730000China Lanzhou Center for Theoretical Physics&Key Laboratory of Theoretical Physics of Gansu Province Lanzhou UniversityLanzhou 730000China Astrophysics and Cosmology Research Unit School of MathematicsStatistics and Computer ScienceUniversity of KwaZulu-NatalPrivate Bag X54001Durban 4000South Africa

We obtain an exact solution for spherically symmetric Letelier AdS black holes immersed in perfect fluid dark matter(PFDM).Considering the cosmological constant as the positive pressure of the system and volume as its conjugate variable,we analyze the thermodynamics of our black holes in the extended phase *** to the background clouds of strings parameter(a)and the parameter endowed with PFDM(β),we analyze the Hawking temperature,entropy,and specific ***,we investigate the relationship between the photon sphere radius and phase transition for the Letelier AdS black holes immersed in *** the analysis,with a particular condition,non-monotonic behaviors are found between the photon sphere radius,impact parameter,PFDM parameter,temperature,and *** can regard the changes in both the photon sphere radius and impact parameter before and after phase transition as the order parameter;their critical exponents near the critical point are equal to the same value,1/2,similar to that in ordinary thermal *** indicates that a universal relation of gravity may exist near the critical point for a black hole thermodynamic system.

关键词： AdS black holes perfect fluid dark matter Letelier spacetime photon orbit extended phase space thermodynamics correlation of photon orbit and thermodynamics

Influence of waning immunity on vaccination decision-making:A multi-strain epidemic model with an evolutionary approach analyzing cost and efficacy

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Infectious Disease Modelling 2024年第3期9卷 657-672页

作者： md.Mamun-Ur-Rashid Khan Jun Tanimoto Interdisciplinary Graduate School of Engineering Sciences Kyushu UniversityKasuga-koenKasuga-shiFukuoka816-8580Japan Faculty of Engineering Sciences Kyushu UniversityKasuga-koenKasuga-shiFukuoka816-8580Japan Department of Mathematics University of DhakaDhaka1000Bangladesh

In this research,we introduce a comprehensive epidemiological model that accounts for multiple strains of an infectious disease and two distinct vaccination *** stands out as the most effective means to prevent and manage infectious ***,when there are various vaccines available,each with its costs and effectiveness,the decision-making process for individuals becomes ***,the factor of waning immunity following vaccination also plays a significant role in influencing these *** understand how individuals make decisions in the context of multiple strains and waning immunity,we employ a behavioral model,allowing an epidemiological model to be coupled with the dynamics of a decision-making *** base their choice of vaccination on factors such as the total number of infected individuals and the cost-effectiveness of the *** findings indicate that as waning immunity increases,people tend to prioritize vaccines with higher costs and greater ***,when more contagious strains are present,the equilibrium in vaccine adoption is reached more ***,we delve into the social dilemma inherent in our model by quantifying the social efficiency deficit(SED)under various parameter combinations.

关键词： Multistrain epidemic model Vaccination Behavior dynamics Waning immunity Social dilemma

Nonlinear Model Predictive Controller for Compensations of Single Line-to-ground Fault in Resonant Grounded Power Distribution Networks

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Journal of Modern Power Systems and Clean Energy 2024年第4期12卷 1113-1125页

作者： Warnakulasuriya Sonal Prashenajith Fernando Mostafa Barzegar-Kalashani md Apel Mahmud Shama Naz Islam Nasser Hossenzadeh Faculty of Engineering and Environment Northumbria UniversityNewcastleUK School of Software and Electrical Engineering Swinburne University of TechnologyHawthornAustralia School of Engineering Deakin UniversityWaurn PondsAustralia

An nonlinear model predictive controller(NMPC)is proposed in this paper for compensations of single line-to-ground(SLG)faults in resonant grounded power distribution networks(RGPDNs),which reduces the likelihood of power line bushfire due to electric *** current compensation(RCC)inverters with arc suppression coils(ASCs)in RGPDNs are controlled using the proposed NMPC to provide appropri-ate compensations during SLG *** proposed NMPC is incorporated with the estimation of ASC inductance,where the estimation is carried out based on voltage and current measure-ments from the neutral point of the power distribution *** compensation scheme is developed in the discrete time using the equivalent circuit of *** proposed NMPC for RCC inverters ensures that the desired current is in-jected into the neutral point during SLG faults,which is veri-fied through both simulations and control hardware-in-the-loop(CHIL)*** results are also presented against an integral sliding mode controller(ISMC)by demon-strating the capability of power line bushfire mitigation.

关键词： Fault current phase voltage nonlinear model predictive controller(NMPC) parameter adaptation parametric uncertainty power line bushfire

Ionotropic receptors mediate olfactory learning and memory in Drosophila

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Insect Science 2024年第4期31卷 1249-1269页

作者： md Zeeshan Ali Anushree Aarif Ahsan Mohammad Shamsul Ola Rizwanul Haque Jawaid Ahsan Department of Biotechnology Central University of South BiharGayaBiharIndia Department of Radiation Oncology University of MichiganAnn ArborMichiganUSA Department of Biochemistry College of ScienceKing Saud UniversityRiyadhSaudi Arabia

Phenylacetaldehyde(PAH),an aromatic compound,is present in a diverse range of fruits including overripe bananas and prickly pear cactus,the two major host fruits for Drosophila *** acts as a potent ligand for the ionotropic receptor 84a(IR84a)in the adult fruit fly and it is detected by the IR84a/IR8a heterotetrameric *** role in the male courtship behavior through IR84a as an environmental aphrodisiac is of additional *** ***,two distinct kinds of olfactory receptors,that is,odorant receptors(ORs)and ionotropic receptors(IRs),perceive the odorant *** display unique structural,molecular,and functional characteristics in addition to having different evolutionary ***,olfactory cues detected by the ORs such as ethyl acetate,1-butanol,isoamyl acetate,1-octanol,4-methylcyclohexanol,*** as aliphatic esters and alcohols have been employed in olfactory classical conditioning using fruit *** underlines the participation of OR-activated olfactory pathways in learning and memory *** study elucidates that likewise ethyl acetate(EA)(an OR-responsive odorant),PAH(an IR-responsive aromatic compound)too can form learning and memory when associated with an appetitive gustatory *** association of PAH with sucrose(PAH/SUC)led to learning and formation of the long-term memory(LTM).Additionally,the Orco^(1),Ir84a^(MI00501),and Ir8a^(1)mutant flies were used to confirm the exclusive participation of the IR84a/IR8a complex in PAH/SUC olfactory associative *** results highlight the involvement of IRs via an IR-activated pathway in facilitating robust olfactory behavior.

关键词： appetitive conditioning Drosophila melanogaster ethyl acetate ionotropic receptors learning and memory phenylacetaldehyde