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Eco-toxicity and health risk assessment of polycyclic aromatic hydrocarbons in surface sediments of Burullus Lake in Egypt

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China Geology 2024年第3期7卷 460-468页

作者： hanan E Osman Mohamed h E El-Morsy hazem t Abd El-hamid Department of Biology Faculty of Applied ScienceUmm Al-Qura UniversityMecca 24382Saudi Arabia Deanship of Scientific Research Umm Al-Qura UniversityMakkah 24372Saudi Arabia National Institute of Oceanography and Fisheries(NIOF) Cairo 11865Egypt Botany and Microbiology Department Faculty of ScienceAl-Azhar UniversityCairo 11651Egypt

Polycyclic aromatic hydrocarbons(PAhs)are ubiquitous environmental contaminants of growing concern due to their potential ecological and human health *** study presents a comprehensive assessment of PAhs contamination in the surface sediments of Burullus Lake,a vital and second largest delta lake in *** aim was to evaluate the eco-toxicity and potential health risks associated with the presence of these *** seven sediment samples were collected from various drains in the southern part of Burullus *** extraction method was employed to extract PAhs(16PAhs)from the sediment ***,target compounds were located using *** results showed that samples contained PAhs levels ranging from 0.038×10^(-6)to 0.459×10^(-6),which is considered heavily polluted by the European standard for PAhs ***,there was no apparent source of PAhs in the ElKhashah drain or the Brinbal Canal,as hPLC found none of the *** most prevalent compound in sediment samples along the study area was *** diagnostic indices in the present study indicated that the hydrocarbons in the region originated from pyrolytic and man-made sources along the drains of Burullus *** principal component analysis(PCA)and diagnostic ratios revealed that coal combustion and pyrolytic sources were responsible for the PAhs contamination in the surface *** non-carcinogenic risk(hI),which is the product of the hQs for the adult and child populations,respectively,was *** values under 1,therefore,demonstrated that they had no carcinogenic effects on human *** and MEQs in the sediments of Burullus Lake do not have a cancer-causing impact on *** the safety of nearby wildlife,aquatic life,and people,all activities that raise petroleum hydrocarbon levels in Burullus Lake must be adequately regulated and *** to the ecological risk assessment,there is little chance that PAhs will be found

关键词： Polycyclic aromatic hydrocarbons Diagnostic indices toxicity Delta lake sediment Burullus Lake human health risk Aquatic ecosystem hPLC Coal combustion

Phytoconstituents Profiling of Indigenous herbal Drugs and Its in vitro Microbial,in Silico Biological Examination against Severe Acute Respiratory Syndrome Coronavirus 2

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World Journal of traditional Chinese Medicine 2024年第1期10卷 121-136页

作者： t.h.Mohamed Ahadu Shareef MMohamed Divan Masood Irfan Navabshan MSaiyad Musthafa Department of Chemistry The New College(Autonomous)Affiliated to the University of MadrasChennaiTamil NaduIndia School of Computer Applications B.S.Abdur Rahman Crescent Institute of Science and TechnologyChennaiTamil NaduIndia Crescent School of Pharmacy B.S.Abdur Rahman Crescent Institute of Science and TechnologyChennaiTamil NaduIndia Department of Zoology The New College(Autonomous)Affiliated to the University of MadrasChennaiTamil NaduIndia

Background:habb-E-Shifa,hamdard Sualin,and hamdard Joshanda traditional herbal medicines may promote host resistance against infection by bacteria,viruses,and fungi which are easily accessible at inexpensive with no *** herbal medicines are used to cure sore throat,cough,fever,lung cancer,and asthma patients in developing South Asian *** traditional herbal medicines acted a crucial role in the prevention and control of coronavirus disease 2019(COVID-19).Aims and Objectives:this research article aimed at conducting phytochemistry,antimicrobial activity,COVID-19 docking and some spectroscopic(Infrared,Ultraviolet,13C-Nuclear Magnetic Resonance(13C-NMR),1h-NMR,and Mass Spectra)characterizations of the polyherbal drugs were carried ***,In-vitro and In-silico analyses were performed to measure activity against *** Performance-Liquid Chromatography(hPLC),Gas Chromatography-Mass Spectrometry(GC-MS),antimicrobial,and docking studies were carried *** preliminary phytochemical assay and bioactive compounds were screened using hPLC and *** study is an attempt to assess the promising effects of selected polyherbal indigenous drugs such as habb-E-Shifa,hamdard Sualin,and hamdard Joshanda phytoconstituents against the severe acute respiratory syndrome coronavirus-2(SARS-Co V-2).Materials and Methods:the extract of the selected polyherbal formulations showed high-to-moderate preventive effects on the growth inhibition in the pathogenic bacterium,namely Streptococcus oralis,Staphylococcus aureus,Propionibacterium acnes,Pseudomonas aeruginosa,Escherichia coli,and Proteus vulgaris,and three fungal Candida albicans,Aspergillus fumigatus,and Aspergillus *** docking study evaluates the pharmacological activity of bioactive chemical compounds with SARS-Co V-2 NSP5(PDB ID:7nxh)and SARS-Co V-2 Omicron spike protein with human angiotensin-converting enzyme 2(ACE-2)(PDB ID:7wk6).Results:In this study,for the first time,we at

关键词： Antimicrobial herbal drug Omicron and coronavirus disease 2019 phytochemicals spectroscopic

Reviewing 40 years of artificial intelligence applied to power systems-A taxonomic perspective

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Energy and AI 2024年第1期15卷 136-150页

作者： F.heymann h.Quest t.Lopez Garcia C.Ballif M.Galus Swiss Federal Office for Energy(SFOE) Section Geoinformation and Digital InnovationIttigenSwitzerland Ecole Polytechnique Fédérale de Lausanne(EPFL) Photovoltaics and Thin-Film Electronics Laboratory(PV-LAB)Institute of Electrical and Micro Engineering(IEM)NeuchâtelSwitzerland 3S Swiss Solar Solutions AG ThunSwitzerland Swiss Center for Electronics and Microtechnology(CSEM) Sustainable Energy CenterNeuchâtelSwitzerland Digital Energy and Electric Power Lucerne University of Applied Sciences and ArtsLucerneSwitzerland

Artificial intelligence(AI)as a multi-purpose technology is gaining increased attention and is now widely used across all sectors of the *** growing complexity of planning and operating power systems makes AI extremely valuable for the power *** now,there has been a lack of clarity regarding the specific points along the power system supply chain where AI applications demonstrate significant value,as well as which AI domains are best suited for such *** study employs an AI taxonomy and automated web search to qualitatively and quantitatively unveil the biggest potentials of AI in the power *** analysis,based on a review of 258’919 publications between 1982 and 2022,reveals where AI applications are particularly *** consider six AI domains(reasoning,planning,learning,communication,perception,integration&interaction)and 19 use cases from the power supply chain(i.e.,generation,transmission networks,distribution networks,isolated grids/microgrids,market operations and retail).Our findings indicate that,as of now,the focus is predominantly on AI applications in power retail(55%),transmission(14%)and generation(13%).Most analyzed works describe applications built on algorithms of the AI domains“learning”(45%)and“planning”(14%).Results also suggest that the current definition of AI domains is ambiguous,and they highlight missing information on the actual use and successful implementation of AI in power system use cases.

关键词： Artificial intelligence Power systems Electricity taxonomy Policy

Satellite-enabled enviromics to enhance crop improvement

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Molecular Plant 2024年第6期17卷 848-866页

作者： Rafael t.Resende Lee hickey Cibele h.Amaral Lucas L.Peixoto Gustavo E.Marcatti Yunbi Xu Universidade Federal de Goia´s(UFG) Agronomy DepartmentPlant Breeding SectorGoiania(GO)74690-900Brazil theCROP a Precision-Breeding Startup:EnviromicsPhenomicsand GenomicsNo Zip-codeOperating VirtuallyGoiania(GO)and Sete Lagoas(MG)Brazil Queensland Alliance for Agriculture and Food Innovation The University of QueenslandBrisbaneQLDAustralia Earth Lab Cooperative Institute for Research in Environmental SciencesUniversity of Colorado BoulderBoulderCO 80303USA Environmental Data Science Innovation&Inclusion Lab Cooperative Institute for Research in Environmental SciencesUniversity of Colorado BoulderBoulderCO 80303USA Universidade Federal de Sa˜o Joa˜o del-Rei Forest Engineering DepartmentCampus Sete LagoasSete Lagoas(MG)35701-970Brazil Institute of Crop Sciences Chinese Academy of Agricultural SciencesBeijing 100081China Peking University Institute of Advanced Agricultural Sciences WeifangShandong 261325China BGI Bioverse Shenzhen 518083China

Enviromics refers to the characterization of micro-and macroenvironments based on large-scale environmental *** providing genotypic recommendations with predictive extrapolation at a site-specific level,enviromics could inform plant breeding decisions across varying conditions and anticipate productivity in a changing ***-based integration of statistics,envirotyping(i.e.,determining environmental factors),and remote sensing could help unravel the complex interplay of genetics,environment,and *** support this goal,exhaustive envirotyping to generate precise environmental profiles would significantly improve predictions of genotype performance and genetic gain in ***,informatics management platforms aggregate diverse environmental datasets obtained using optical,thermal,radar,and light detection and ranging(LiDAR)sensors that capture detailed information about vegetation,surface structure,and *** wealth of information,coupled with freely available climate data,fuels innovative enviromics *** enviromics holds immense potential for breeding,a few obstacles remain,such as the need for(1)integrative methodologies to systematically collect field data to scale and expand observations across the landscape with satellite data;(2)state-of-the-art AI models for data integration,simulation,and prediction;(3)cyberinfrastructure for processing big data across scales and providing seamless interfaces to deliver forecasts to stakeholders;and(4)collaboration and data sharing among farmers,breeders,physiologists,geoinformatics experts,and programmers across research *** these challenges is essential for leveraging the full potential of big data captured by satellites to transform 21st century agriculture and crop improvement through enviromics.

关键词： envirotyping precision breeding genotype-environment interactions remote sensing predictive models enviromic information

Rao Algorithms-Based Structure Optimization for heterogeneous Wireless Sensor Networks

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Computers, Materials & Continua 2024年第1期78卷 873-897页

作者： Shereen K.Refaay Samia A.Ali Moumen t.El-Melegy Louai A.Maghrabi hamdy h.El-Sayed Faculty of Computers and Artificial Intelligence Sohag UniversitySohag82524Egypt Faculty of Engineering Assiut UniversityAssiut711745Egypt College of Engineering University of Business and TechnologyJeddah23411Saudi Arabia

the structural optimization of wireless sensor networks is a critical issue because it impacts energy consumption and hence the network’s *** studies have been conducted for homogeneous networks,but few have been performed for heterogeneouswireless sensor *** paper utilizes Rao algorithms to optimize the structure of heterogeneous wireless sensor networks according to node locations and their initial *** proposed algorithms lack algorithm-specific parameters and metaphorical *** proposed algorithms examine the search space based on the relations of the population with the best,worst,and randomly assigned *** proposed algorithms can be evaluated using any routing protocol,however,we have chosen the well-known routing protocols in the literature:Low Energy Adaptive Clustering hierarchy(LEACh),Power-Efficient Gathering in Sensor Information Systems(PEAGSIS),Partitioned-based Energy-efficient LEACh(PE-LEACh),and the Power-Efficient Gathering in Sensor Information Systems Neural Network(PEAGSIS-NN)recent routing *** compare our optimized method with the Jaya,the Particle Swarm Optimization-based Energy Efficient Clustering(PSO-EEC)protocol,and the hybrid harmony Search Algorithm and PSO(hSA-PSO)*** efficiencies of our proposed algorithms are evaluated by conducting experiments in terms of the network lifetime(first dead node,half dead nodes,and last dead node),energy consumption,packets to cluster head,and packets to the base *** experimental results were compared with those obtained using the Jaya optimization *** proposed algorithms exhibited the best *** proposed approach successfully prolongs the network lifetime by 71% for the PEAGSIS protocol,51% for the LEACh protocol,10% for the PE-LEACh protocol,and 73% for the PEGSIS-NN protocol;Moreover,it enhances other criteria such as energy conservation,fitness convergence,packets to cluster head,and packets to the base sta

关键词： Wireless sensor networks Rao algorithms optimization LEACh PEAGSIS

Advancing Wound Filling Extraction on 3D Faces:An Auto-Segmentation and Wound Face Regeneration Approach

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 2197-2214页

作者： Duong Q.Nguyen thinh D.Le Phuong D.Nguyen Nga t.K.Le h.Nguyen-Xuan Department of Mathematics and Statistics Quy Nhon UniversityQuy Nhon City55100Viet Nam Applied Research Institute for Science and technology Quy Nhon UniversityQuy Nhon City55100Viet Nam CIRtECh Institute HUTECH UniversityHo Chi Minh City72308Viet Nam

Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical *** this paper,we propose an efficient approach for automating 3D facial wound segmentation using a two-stream graph convolutional *** method leverages the Cir3D-FaIR dataset and addresses the challenge of data imbalance through extensive experimentation with different loss *** achieve accurate segmentation,we conducted thorough experiments and selected a high-performing model from the *** selectedmodel demonstrates exceptional segmentation performance for complex 3D facial ***,based on the segmentation model,we propose an improved approach for extracting 3D facial wound fillers and compare it to the results of the previous *** method achieved a remarkable accuracy of 0.9999993% on the test suite,surpassing the performance of the previous *** this result,we use 3D printing technology to illustrate the shape of the wound *** outcomes of this study have significant implications for physicians involved in preoperative planning and intervention *** automating facial wound segmentation and improving the accuracy ofwound-filling extraction,our approach can assist in carefully assessing and optimizing interventions,leading to enhanced patient ***,it contributes to advancing facial reconstruction techniques by utilizing machine learning and 3D bioprinting for printing skin tissue *** source code is available at https://***/SIMOGroup/WoundFilling3D.

关键词： 3D printing technology face reconstruction 3D segmentation 3D printed model

Atomistic Investigation of Shock-Induced Amorphization within Micro-shear Bands in hexagonal Close-Packed titanium

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Acta Metallurgica Sinica(English Letters) 2024年第9期37卷 1590-1600页

作者： Z.C.Meng K.G.Wang t.Ali D.Li C.G.Bai D.S.Xu S.J.Li A.h.Feng G.J.Cao J.h.Yao Q.B.Fan h.Wang R.Yang Institute of Metal Research Chinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Interdisciplinary Centre for Additive Manufacturing(ICAM) School of Materials and ChemistryUniversity of Shanghai for Science and TechnologyShanghai 200093China School of Materials Science and Engineering Tongji UniversityShanghai 201804China Key Laboratory for Light-Weight Materials Nanjing Tech UniversityNanjing 210009China National Key Laboratory of Science and technology on Materials Under Shock and Impact School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing Institute of technology Chongqing Innovation Center Chongqing 401135China

the mechanical response of a single crystal titanium sample against(0001)α surface impact was investigated using molecular dynamics ***,non-uniform plastic deformation was observed in the *** high strain rates,amorphization occurred near the edge of the contact region where severe shear strain induced a large number of stacking faults(SFs)and *** contrast,the central part of the contact region underwent less deformation with significantly fewer ***,instead of amorphization by consuming SFs and dislocations,there was a gradual increase in the density of dislocations and SFs during the process of *** local amorphous regions eventually grew into shear bands.

关键词： Shock compression Amorphization Shear band titanium Molecular dynamics

Construction of 2D/2D ti_(3)C_(2)t_(x)MXene/CdS heterojunction with photothermal effect for efficient photocatalytic hydrogen production

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Journal of Materials Science & technology 2024年第4期171卷 1-9页

作者： t.Y.huang Z.Yang S.Y.Yang Z.h.Dai Y.J.Liu J.h.Liao G.Y.Zhong Z.J.Xie Y.P.Fang S.S.Zhang Key Laboratory for Biobased Materials and Energy of Ministry of Education Guangdong Laboratory for Lingnan Modern AgricultureCollege of Materials and EnergySouth China Agricultural UniversityGuangzhou 510643China School of Physics and Optoelectronics South China University of TechnologyGuangzhou 510640China School of Chemical Engineering and Energy technology Guangdong Provincial Key Laboratory of Distributed Energy SystemsDongguan University of TechnologyDongguan 523808China

the insensitivity of semiconductors to visible and infrared light is a key constraint on the utilization of light energy in photocatalytic *** photocatalysts with full-spectrum absorption through surface engineering is an effective approach to fully harnessing light energy in semiconductor ***,a novel stable ti_(3)C_(2)t_(x)MXene/CdS heterojunction catalyst is obtained by in-situ epitaxial growth of two-dimensional(2D)CdS nanosheets on 2D MXene interface via a solvothermal *** exceptional light absorption properties of MXene confer outstanding full-spectrum driven photocat-alytic hydrogen evolution capability upon the heterogeneous *** unique 2D/2D structure effectively mitigated the recombination of photogenerated carriers,enhancing the photocatalytic performance of the ***,the composite catalyst exhibits a significantly higher surface temperature of 80.4℃under visible light irradiation at an intensity of 0.1 W/cm^(2),which is 1.84 times higher than that of *** irradiation of visible and near infrared light,the composite catalyst with photothermal ef-fect demonstrates a remarkable hydrogen evolution rate of 65.4 mmol g^(-1)h^(-1),which is 7.2 times higher than that of CdS *** study introduces a novel approach for constructing full-spectrum absorption catalysts and expands the application of the photothermal effect in photocatalytic hydrogen evolution research.

关键词： two-dimensional structure heterostructure Photothermal effect Photocatalyst hydrogen evolution

A Preliminary Comparative Study on the Centering Algorithms for CassiniISS NAC Images

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Research in Astronomy and Astrophysics 2024年第10期24卷 58-65页

作者： t.Liang Q.-F.Zhang G.-M.Liu W.-h.Zhu C.-S.Wang Department of Computer Science Jinan UniversityGuangzhou 510632China Sino-French Joint Laboratory for Astrometry Dynamics and Space ScienceJinan UniversityGuangzhou 510632China School of Computer Science Guangdong University of EducationGuangzhou 510303China

Obtaining high precision is an important consideration for astrometric studies using images from the Narrow Angle Camera(NAC)of the Cassini Imaging Science Subsystem(ISS).Selecting the best centering algorithm is key to enhancing astrometric *** this study,we compared the accuracy of five centering algorithms:Gaussian fitting,the modified moments method,and three point-spread function(PSF)fitting methods(effective PSF(ePSF),PSFEx,and extended PSF(x PSF)from the Cassini Imaging Central Laboratory for Operations(CICLOPS)).We assessed these algorithms using 70 ISS NAC star field images taken with CL1 and CL2 filters across different stellar *** ePSF method consistently demonstrated the highest accuracy,achieving precision below 0.03 pixels for stars of magnitude *** to the previously considered best,the modified moments method,the e PSF method improved overall accuracy by about 10%and 21%in the sample and line directions,***,the xPSF model provided by CICLOPS had lower precision than the ***,the ePSF exhibits an improvement in measurement precision of 23%and 17%in the sample and line directions,respectively,over the *** discrepancy might be attributed to the xPSF focusing on photometry rather than *** findings highlight the necessity of constructing PSF models specifically tailored for astrometric purposes in NAC images and provide guidance for enhancing astrometric measurements using these ISS NAC images.

关键词： methods:analytical techniques:image processing stars:imaging astrometry