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Exploring the relationship between ambient sulfur dioxide and semen quality parameters:A systematic review and meta-analysis

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Asian pacific Journal of Reproduction 2024年第1期13卷 12-21页

作者： Seyed Sobhan Bahreiny Mojtaba Aghaei Mohammad reza Dabbagh Hamid Ghorbani Moslem Javidan reza Mohammadpour Fard Student Research Committee Ahvaz Jundishapur University of Medical SciencesAhvazIran Medical Basic Sciences Research Institute Physiology Research CenterDepartment of PhysiologySchool of MedicineAhvaz Jundishapur University of Medical SciencesAhvazIran Department of Biology Faculty of ScienceShahid Chamran University of AhvazAhvazIran Department of Immunology Faculty of MedicineAhvaz Jundishapur University of Medical SciencesAhvazIran

Objective:To investigate the relationship between ambient sulfur dioxide(SO2)exposure and semen quality ***:A systematic literature search was conducted to identify relevant studies investigating the association between SO2 exposure and semen quality *** search encompassed the timeframe from January 2000 to May 2023 and included electronic databases such as Web of Science,Google Scholar,PubMed,Cochrane,and *** effect estimates with 95%confidence intervals(CI)were calculated using percent changes(PC).The meta-analysis included seven studies with 6711 participants and 15087 semen ***:The results revealed a significant negative association between ambient SO2 exposure and certain semen quality *** particular,SO2 exposure was associated with a significant decrease in progressive motility(PC=0.032;95%CI:-0.063 to-0.001;P=0.044)and sperm concentration(PC=-0.020;95%CI:-0.036 to-0.005;P=0.012).However,no statistically significant associations were observed for total sperm count(PC=-0.038;95%CI:-0.079 to 0.003;P=0.070),seminal fluid volume(PC=-0.009;95%CI:-0.048 to-0.030;P=0.662)and sperm motility(PC=-0.17;95%CI:-0.363 to 0.022;P=0.830).In addition,the results of the subgroup analysis revealed specific variables that were associated with the decrease in relevant sperm ***:This systematic review and meta-analysis provides compelling evidence supporting a consistent negative association between exposure to ambient SO2 and semen quality parameters.

关键词： Semen quality Sulfur dioxide Ambient air pollution Meta-analysis

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Prediction of vertical displacement for a buried pipeline subjected to normal fault using a hybrid FEM-ANN approach

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Frontiers of Structural and Civil Engineering 2024年第3期18卷 428-443页

作者： Hedye JALALI reza YEGANEH KHAKSAR Danial MOHAMMADZADEH S. Nader KARBALLAEEZADEH Amir H.GANDOMI Department of Civil Engineering Architecture and UrbanismSadjad University of TechnologyPO Box ***MashhadIran Department of Civil Engineering Faculty of EngineeringEqbal Lahoori Institute of Higher EducationPO Box ***MashhadIran Faculty of Civil Engineering Architectureand ArtScience and Research Branch of Islamic Azad UniversityPO Box ***TehranIran Faculty of Engineering&Information Technology University of Technology SydneyUltimoNSW 2007Australia University Research and Innovation Center(EKIK) Óbuda UniversityBudapest 1034Hungary

Fault movement during earthquakes is a geotechnical phenomenon threatening buried pipelines and with the potential to cause severe damage to critical ***,effective prediction of pipe displacement is crucial for preventive management *** study aims to develop a fast,hybrid model for predicting vertical displacement of pipe networks when they experience *** this study,the complex behavior of soil and a buried pipeline system subjected to a normal fault is analyzed by using an artificial neural network(ANN)to generate predictions the behavior of the soil when different parameters of it are *** this purpose,a finite element model is developed for a pipeline subjected to normal fault *** data bank used for training the ANN includes all the critical soil parameters(cohesion,internal friction angle,Young’s modulus,and faulting).Furthermore,a mathematical formula is presented,based on biases and weights of the ANN *** results show that the maximum error of the presented formula is 2.03%,which makes the proposed technique efficiently predict the vertical displacement of buried pipelines and hence,helps to optimize the upcoming pipeline projects.

关键词： buried pipelines normal Fault finite element method multilayer perceptron neural network formulation

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Review of coastal land transformation:Factors,impacts,adaptation strategies,and future scopes

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Geography and Sustainability 2024年第2期5卷 167-178页

作者： Md.Abubakkor Siddik Abu reza Md.Towfiqul Islam Dr.Wazed Research and Training Institute Begum Rokeya UniversityRangpur 5404Bangladesh Department of Emergency Management Patuakhali Science and Technology UniversityPatuakhali-8602Bangladesh Department of Disaster Management Begum Rokeya UniversityRangpur 5404Bangladesh Department of Development Studies Daffodil International UniversityDhaka 1216Bangladesh

Coastal land transformation has been identified as a topic of research in many countries around the *** studies have been conducted to determine the causes and impacts of land ***,much less is understood about coupling change detection,factors,impacts,and adaptation strategies for coastal land transformation at a global *** review aims to present a systematic review of global coastal land transformation and its leading research *** 1,741 documents of Scopus and Web of Science,60 studies have been selected using the PRISMA-2020 *** revealed that existing literature included four leading focus areas regarding coastal land transformation:change detection,driving factors,impacts,and adaptation *** focus areas were further analyzed,and it was found that more than 80%of studies used Landsat imagery to detect land *** growth and urbanization were among the major driving factors *** review further identified that about 37%of studies included impact *** studies identified impacts on ecosystems,land surface temperature,migration,water quality,and occupational effects as significant ***,only four studies included adaptation *** review explored the scope of comprehensive research in coastal land transformation,addressing change detection,factor and impact analysis,and mitigation-adaptation *** research also proposes a conceptual framework for comprehensive coastal land transformation *** framework can provide potential decision-making guidance for future studies in coastal land transformation.

关键词： Coastal land transformation Land use and land cover Landsat Population PRISMA

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Efficiency improvement by using metal–insulator‑semiconductor structure in InGaN/GaN micro‑light‑emitting diodes

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Frontiers of Optoelectronics 2024年第1期17卷 77-84页

作者： Jian Yin David Hwang Hossein Zamani Siboni Ehsanollah Fathi reza Chaji Dayan Ban Department of Electrical and Computer Engineering Waterloo Institute NanotechnologyUniversity of WaterlooWaterlooON N2L 3G1Canada Vuereal InC. 440 Philip StreetUnit 100WaterlooON N2L 5R9Canada

InGaN/GaN micro-light-emitting diodes(micro-LEDs)with a metal–insulator-semiconductor(MIS)structure on the sidewall are proposed to improve *** this MIS structure,a sidewall electrode is deposited on the insulating layer-coated sidewall of the device mesa between a cathode on the bottom and an anode on the ***(EL)measurements of fabricated devices with a mesa diameter of 10μm show that the application of negative biases on the sidewall electrode can increase the device external quantum efficiency(EQE).In contrast,the application of positive biases can decrease the *** band structure analysis reveals that the EQE is impacted because the application of sidewall electric fields manipulates the local surface electron density along the mesa sidewall and thus controls surface Shockley–Read–Hall(SRH)*** suggested strategies,reducing insulator layer thickness and exploring alternative materials,can be implemented to further improve the EQE of MIS micro-LEDs in future fabrication.

关键词： Micro-LED GaN EQE improvement Micro-fabrication

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Hepatoprotective effect of Holothuria leucospilota methanolic extract on dimethyl nitrosamine-induced hepatotoxicity in rats

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Animal Models and Experimental Medicine 2024年第4期7卷 544-552页

作者： Fatemeh Dejan Amineh Daneshi Javad Rajabi Aslani Nasrollah Ahmadi Narges Eskandari Roozbahani Elaham Rahmanian reza Behmanesh Hamid reza Gheisari Department of Basic Sciences School of Veterinary MedicineShiraz UniversityShirazIran Department of Education Farzanegan High SchoolTehranKohgiluyeh and Boyer AhmadIran Food Hygiene Department School of Veterinary MedicineShiraz UniversityShirazIran Department of Pathology School of Veterinary MedicineShiraz UniversityShirazIran Clinical Research Development Center Imam Reza HospitalKermanshah University of Medical SciencesKermanshahIran Molecular Dermatology Research Center Shiraz University of Medical SciencesShirazIran Department of Anatomy School of MedicineShiraz University of Medical SciencesShirazIran Faculty of Veterinary Medicine Garmsar BranchDepartment of RadiologyIslamic Azad UniversityGarmsarIran

Background:Complementary medicine is an interesting field for extracting bio-active compounds from various plant and animal *** hepatoprotective effect of the methanolic extract of a species of sea cucumber called Holothuria leu-cospilota in an animal model of liver cancer caused by dimethyl nitrosamine(DMN)was ***:Wistar female rats were randomly divided into five groups(n=12):control(intact),positive control(received 1%DMN[10 mg/kg/week,intraperitoneally]for 12 weeks),and three treatment groups(received 50,100,and 200 mg/kg/day ***-cospilota extract orally for 12 weeks along with intraperitoneal administration of 1%DMN[10 mg/kg/week]).In all groups,ultrasound was performed on the liver every week to check its *** sampling and liver isolation were performed on three occasions,at 4,8,and 12 weeks,to check liver enzymes and the histopathological condition of the liver tissue(every week,four animals from each group were randomly selected).Results:Liver density changes were evident from the eighth week onward in the positive control *** results indicated pathologic changes in the positive control group after 4 *** increase in liver enzymes in the posi-tive control group was significantly different from that in the treatment and control ***:We demonstrated the hepatoprotective effect of *** on DMN-induced liver damage in rats using biochemical and histological parameters and *** additional research(in silico or in vitro)is needed to find the exact mechanism and the main biological compound in ***.

关键词： dimethyl nitrosamine hepatotoxicity Holothuria leucospilota sea cucumber

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Rosmarinic acid improves tracheal smooth muscle responsiveness and lung pathological changes in ovalbumin-sensitized rats

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Asian Pacific Journal of Tropical Biomedicine 2024年第3期14卷 100-105页

作者： Vahideh Abbasnia Mohsen Foadoddini Delaram Eslimi Esfahani Mohammad reza Khazdair Shahrbanoo Oryan Department of Biology Payame Noor UniversityTehranIran Cardiovascular Diseases Research Center Birjand University of Medical SciencesBirjandIran Department of Animal Sciences Faculty of Biological SciencesKharazmi UniversityTehranIran

Objective:To evaluate the effect of rosmarinic acid on tracheal smooth muscle responsiveness and lung pathological changes in ovalbumin-sensitized ***:Rats were randomly divided into six groups:the control group,the asthmatic group,and the asthmatic groups treated with dexamethasone(1 mg/kg;oral gavage)or three doses of rosmarinic acid(0.5,1,and 2 mg/kg;oral gavage).For induction of asthma,rats received intraperitoneal injections and inhalation of *** 21 days,bronchoalveolar lavage fluid and lung samples were collected for histopathological ***,total and differential white blood cell counts were ***:The rosmarinic acid-treated group had significantly lower tracheal smooth muscle responses to methacholine than the asthmatic *** addition,rosmarinic acid reduced white blood cell count and the percentages of eosinophils,monocytes,and neutrophils while increasing the percentage of ***-induced lung pathological changes were significantly improved by treatment with rosmarinic ***:Rosmarinic acid improves tracheal smooth muscle responsiveness and lung pathological changes in ovalbumin-sensitized rats.

关键词： Rosmarinic acid Asthma Ovalbumin Tracheal responsiveness Inflammation White blood cell

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Modeling functional brain connections in methamphetamine and opioid abusers

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Medicine in Novel Technology and Devices 2024年第1期21卷 88-96页

作者： Nasimeh Marvi Javad Haddadnia Mohammad reza Fayyazi Bordbar Hakim Sabzevari University SabzevarIran Psychiatry and Behavioral Sciences Research Center Mashhad University of Medical SciencesMashhadIran

Substance abuse has become a significant problem *** primary purpose of this study was to model the functional brain connectivity in methamphetamines(Meth)and opioids(Op)groups in comparison with the healthy control(HC)*** data were recorded in Meth(n=8),Op(n=12),and HC groups(n=12)in a closed-eye resting *** NeuCube model based on a spiking neural network was used for EEG data's functional brain connectivity *** NeuCube model was evaluated quantitatively and qualitatively with model descriptive *** results showed the average value of the neuron's activation level,spikes emitted from neurons,and clustering coefficient as a communication parameter in the HC group decreased from 1154,1103,0.026 to 1036,981,0.020 in the Op group and to 511,468,0.009 in the Meth group,*** changes in indices were significant according to the ANOVA test with p〈*** decrease in indices was more significant in the Meth group than in the Op *** research findings showed that the abuse of Meth and Op causes damage to the brain's functional *** damage included shortening and limiting communication routes and decreased neurons'ability to generate membrane potential and emit inhibitory and excitatory *** were reported to be more severe in the Meth group than in the Op group.

关键词： Electroencephalogram Methamphetamines NeuCube model Opioids Spiking neural networks

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Enhancing Hyper-Spectral Image Classification with Reinforcement Learning and Advanced Multi-Objective Binary Grey Wolf Optimization

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Computers, Materials & Continua 2024年第6期79卷 3469-3493页

作者： Mehrdad Shoeibi Mohammad Mehdi Sharifi Nevisi reza Salehi Diego Martín Zahra Halimi Sahba Baniasadi TheWPI Business School Worcester Polytechnic InstituteWorcesterMassachusetts01609-2280USA Department of Industrial Engineering Iran University of Science and TechnologyNarmakTehran16846-13114Iran ETSI de Telecomunicación Universidad Politécnica de MadridAv.Complutense 30Madrid28040Spain Department of Civil and Environmental Engineering University of MarylandCollege ParkMaryland20742USA Department of Industrial Engineering College of EngineeringUniversity of HoustonHoustonTexas77204USA

Hyperspectral(HS)image classification plays a crucial role in numerous areas including remote sensing(RS),agriculture,and the monitoring of the *** band selection in HS images is crucial for improving the efficiency and accuracy of image *** process involves selecting the most informative spectral bands,which leads to a reduction in data *** on these key bands also enhances the accuracy of classification algorithms,as redundant or irrelevant bands,which can introduce noise and lower model performance,are *** this paper,we propose an approach for HS image classification using deep Q learning(DQL)and a novel multi-objective binary grey wolf optimizer(MOBGWO).We investigate the MOBGWO for optimal band selection to further enhance the accuracy of HS image *** the suggested MOBGWO,a new sigmoid function is introduced as a transfer function to modify the wolves’*** primary objective of this classification is to reduce the number of bands while maximizing classification *** evaluate the effectiveness of our approach,we conducted experiments on publicly available HS image datasets,including Pavia University,Washington Mall,and Indian Pines *** compared the performance of our proposed method with several state-of-the-art deep learning(DL)and machine learning(ML)algorithms,including long short-term memory(LSTM),deep neural network(DNN),recurrent neural network(RNN),support vector machine(SVM),and random forest(RF).Our experimental results demonstrate that the Hybrid MOBGWO-DQL significantly improves classification accuracy compared to traditional optimization and DL ***-DQL shows greater accuracy in classifying most categories in both datasets *** the Indian Pine dataset,the MOBGWO-DQL architecture achieved a kappa coefficient(KC)of 97.68%and an overall accuracy(OA)of 94.32%.This was accompanied by the lowest root mean square error(RMSE)of 0.94,indicating very precise

关键词： Hyperspectral image classification reinforcement learning multi-objective binary grey wolf optimizer band selection

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Machine learning prediction of methane, ethane, and propane solubility in pure water and electrolyte solutions: Implications for stray gas migration modeling

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Acta Geochimica 2024年第05期43卷 971-984页

作者： Ghazal Kooti reza Taherdangkoo Chaofan Chen Nikita Sergeev Faramarz Doulati Ardejani Tao Meng Christoph Butscher Institute of Geotechnics TU Bergakademie Freiberg Department of Petroleum Engineering Amirkabir University of Technology Freiberg Center for Water Research ZeWaF TU Bergakademie Freiberg School of Mining College of Engineering University of Tehran Taiyuan University of Science and Technology

Hydraulic fracturing is an effective technology for hydrocarbon extraction from unconventional shale and tight gas reservoirs. A potential risk of hydraulic fracturing is the upward migration of stray gas from the deep subsurface to shallow aquifers. The stray gas can dissolve in groundwater leading to chemical and biological reactions,which could negatively affect groundwater quality and contribute to atmospheric emissions. The knowledge oflight hydrocarbon solubility in the aqueous environment is essential for the numerical modelling offlow and transport in the subsurface. Herein, we compiled a database containing 2129experimental data of methane, ethane, and propane solubility in pure water and various electrolyte solutions over wide ranges of operating temperature and pressure. Two machine learning algorithms, namely regression tree（RT）and boosted regression tree（BRT） tuned with a Bayesian optimization algorithm（BO） were employed to determine the solubility of gases. The predictions were compared with the experimental data as well as four well-established thermodynamic models. Our analysis shows that the BRT-BO is sufficiently accurate, and the predicted values agree well with those obtained from the thermodynamic models. The coefficient of determination（R2） between experimental and predicted values is 0.99 and the mean squared error（MSE）is 9.97 × 10-8. The leverage statistical approach further confirmed the validity of the model developed.

关键词： Boosted regression tree Gas solubility Groundwater contamination Hydraulic fracturing Regression tree Thermodynamic models

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Bulk-boundary and RPS thermodynamics from topology perspective

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Chinese Physics C 2024年第9期48卷 248-257页

作者： Jafar Sadeghi Mohammad reza Alipour Saeed Noori Gashti Mohammad Ali S.Afshar Department of Physics Faculty of Basic Sciences University of Mazandaran School of Physics Damghan University

In this study,we investigate the bulk-boundary and restricted phase space（RPS） thermodynamics of Rissner-Nordstrom（R-N） AdS and 6-dimensional charged Gauss-Bonnet AdS black ***,we examine the topological characteristics of the considered black holes and compare them with the results of extended *** determine that the topological behavior of the bulk-boundary thermodynamics is the same as that of the extended thermodynamics,whereas the RPS thermodynamics exhibits a distinct ***,we demonstrate that within the RPS formalism,there is only one critical point with a topological charge of +1（Q_t=+1）.Moreover,in the RPS formalism,the inclusion of higher-derivative curvature terms in the form of GaussBonnet gravity does not alter the topological classification of critical points in charged AdS black holes.

关键词： bulk-boundary restricted phase space thermodynamics topological charge

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