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Computers, Materials & Continua 2024年第2期78卷 2535-2555页

作者： Saba awan Zahid Mehmood Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan

Highway safety researchers focus on crash injury severity,utilizing deep learning—specifically,deep neural networks(DNN),deep convolutional neural networks(D-CNN),and deep recurrent neural networks(D-RNN)—as the preferred method for modeling accident *** learning’s strength lies in handling intricate relation-ships within extensive datasets,making it popular for accident severity level(ASL)prediction and *** prior success,there is a need for an efficient system recognizing ASL in diverse road *** address this,we present an innovative Accident Severity Level Prediction Deep Learning(ASLP-DL)framework,incorporating DNN,D-CNN,and D-RNN models fine-tuned through iterative hyperparameter selection with Stochastic Gradient *** framework optimizes hidden layers and integrates data augmentation,Gaussian noise,and dropout regularization for improved *** and factor contribution analyses identify influential *** on three diverse crash record databases—NCDB 2018–2019,UK 2015–2020,and US 2016–2021—the D-RNN model excels with an ACC score of 89.0281%,a Roc Area of 0.751,an F-estimate of 0.941,and a Kappa score of 0.0629 over the NCDB *** proposed framework consistently outperforms traditional methods,existing machine learning,and deep learning techniques.

关键词： Injury severity prediction deep learning feature

Auctions to reveal consumers’willingness to pay for low-carbon hydrogen projects:combining lessons from renewables and natural-gas industries

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Clean Energy 2024年第4期8卷 103-110页

作者： Miguel Vazquez michelle Hallack SDA School of Management Bocconi UniversityVia Roberto Sarfatti1020136 MilanMIItaly Florence School of Regulation EUIVia Giovanni Boccaccio12150133 FirenzeFIItaly

Low-carbon hydrogen is expected to play a key role in realizing net-zero and sustainable development ***,there is a gap between the cost of producing low-carbon hydrogen and its potential users’willingness to pay for such *** implement support for the development of the industry,we propose using low-carbon hydrogen long-term agreements allocated through auction *** objectives are 2-fold:(i)matching supply and demand volumes considering the time horizon and geographical delivery point specification and(ii)allocating the *** perspective article innovates by proposing a reference price indexed to liquid to natural-gas prices,which is the main product that low-carbon hydrogen aims to *** premium and the production cost are defined through a double-sided *** aims to minimize the public policy funds required to incentivize the low-carbon hydrogen market while facilitating long-term agreements and mitigating price risks that may hinder investment.

关键词： hydrogen auctions Renewable Eenergy Systems support mechanisms natural gas

Enhanced Topic-Aware Summarization Using Statistical Graph Neural Networks

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Computers, Materials & Continua 2024年第8期80卷 3221-3242页

作者： Ayesha Khaliq Salman Afsar awan Fahad Ahmad Muhammad Azam Zia Muhammad Zafar Iqbal Department of Computer Science University of Agriculture FaisalabadFaisalabadPunjab37300Pakistan School of Computing Faculty of TechnologyUniversity of PortsmouthSouthseaPortsmouthPO12UPUK Department of Mathematics and Statistics University of Agriculture FaisalabadFaisalabadPunjab37300Pakistan

The rapid expansion of online content and big data has precipitated an urgent need for efficient summarization techniques to swiftly comprehend vast textual documents without compromising their original *** approaches in Extractive Text Summarization(ETS)leverage the modeling of inter-sentence relationships,a task of paramount importance in producing coherent *** study introduces an innovative model that integrates Graph Attention Networks(GATs)with Transformer-based Bidirectional Encoder Representa-tions from Transformers(BERT)and Latent Dirichlet Allocation(LDA),further enhanced by Term Frequency-Inverse Document Frequency(TF-IDF)values,to improve sentence selection by capturing comprehensive topical *** approach constructs a graph with nodes representing sentences,words,and topics,thereby elevating the interconnectivity and enabling a more refined understanding of text *** model is stretched to Multi-Document Summarization(MDS)from Single-Document Summarization,offering significant improvements over existing models such as THGS-GMM and Topic-GraphSum,as demonstrated by empirical evaluations on benchmark news datasets like Cable News Network(CNN)/Daily Mail(DM)and *** results consistently demonstrate superior performance,showcasing the model’s robustness in handling complex summarization tasks across single and multi-document *** research not only advances the integration of BERT and LDA within a GATs but also emphasizes our model’s capacity to effectively manage global information and adapt to diverse summarization challenges.

关键词： Summarization graph attention network bidirectional encoder representations from transformers Latent Dirichlet Allocation term frequency-inverse document frequency

MXenes and heterostructures-based electrocatalysts for hydrogen evolution reaction:Recent developments and future outlook

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Journal of Energy Chemistry 2024年第5期92卷 176-206页

作者： Abdul Hanan Hafiz Taimoor Ahmed awan Faiza Bibi Raja Rafidah Raja Sulaiman Wai Yin Wong Rashmi Walvekar Seema Singh Mohammad Khalid Sunway Centre for Electrochemical Energy and Sustainable Technology(SCEEST) School of Engineering and TechnologySunway UniversityNo.5 Jalan UniversitiBandar Sunway47500 Petaling JayaSelangorMalaysia Fuel Cell Institute Universiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Faculty of Innovation and Technology School of EngineeringChemical Engineering ProgrammeNo.1 Jalan Taylor’sTaylor’s University Malaysia47500 Subang JayaSelangorMalaysia Chitkara Centre for Research and Development Chitkara UniversityHimachal Pradesh 174103India School of Applied and Life Sciences Uttaranchal UniversityDehradunUttarakhand 248007India Manipal Institute of Technology Manipal Academy of Higher EducationManipal 576104KarnatakaIndia Centre of Research Impact and Outcome Chitkara UniversityPunjab 140401India

The increasing focus on electrocatalysis for sustainable hydrogen(H_(2))production has prompted significant interest in MXenes,a class of two-dimensional(2D)materials comprising metal carbides,carbonitrides,and *** materials exhibit intriguing chemical and physical properties,including excellent electrical conductivity and a large surface area,making them attractive candidates for the hydrogen evolution reaction(HER).This scientific review explores recent advancements in MXene-based electrocatalysts for HER *** discusses various compositions,functionalities,and explicit design principles while providing a comprehensive overview of synthesis methods,exceptional properties,and electro-catalytic approaches for H_(2) production via electrochemical ***,challenges and future prospects in designing MXenes-based electrocatalysts with enhanced kinetics are highlighted,emphasizing the potential of incorporating different metals to expand the scope of electrochemical *** review suggests possible efforts for developing advanced MXenes-based electrocatalysts,particularly for efficient H_(2) generation through electrochemical water-splitting reactions..

关键词： MXenes Electrocatalyst Water Splitting Hydrogen Generation Clean Energy

Recovering noble metals from waste streams using porous organic frameworks for heterogeneous catalysis

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Science China Chemistry 2024年第11期67卷 3578-3587页

作者： Yu Pan michelle ?hlén Maria Str?mme Chao Xu Division of Nanotechnology and Functional Materials Department of Materials Science and Engineering ?ngstr?m LaboratoryUppsala University State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences

Recovering noble metals from waste resources and incorporating them into catalysts stands out as a promising strategy for advancing sustainability within the catalysis field. This review provides a comprehensive overview of recent investigations into noble metal recovery from waste streams, specifically employing porous organic frameworks(POFs). Additionally, the study delves into the utilization of the resultant composites, enriched with noble metals, in heterogeneous catalysis. Moreover, we offer insights into the challenges faced and outline prospects for the practical implementation of extracting noble metal catalysts from waste streams using POFs, aiming to develop cost-effective, sustainable, and efficient heterogeneous catalysts.

关键词： porous organic frameworks noble metal recovery heterogeneous catalysis sustainability

Laser-induced plasma formation in water with up to 400 mJ double-pulse LIBS

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Plasma Science and Technology 2024年第1期26卷 93-100页

作者： Marion HENKEL michelle SIEMENS Ralf METHLING Benjamin EMDE Jörg HERMSDORF Steffen FRANKE Diego GONZALEZ Leibniz Institute for Plasma Science and Technology(INP) Felix-Hausdorff-Straße 2Greifswald 17489Germany Laser Zentrum Hannover e.V.(LZH) Hollerithallee 8Hannover 30419Germany

Double-pulse LIBS is a promising technique for deep-sea *** measurements in shallow water with up to 400 mJ each pulse were done to select laser parameters which promote optimized spectral line emission from plasma even at elevated pressures,where line broadening until loss of most of the spectral information can *** emission spectroscopy,using a Czerny-Turner spectrometer,has been applied to investigate the dependence of the emitted radiation on laser parameters and hydrostatic *** has been found,that higher laser pulse energies,especially with short pulse delay as required in high water pressure,can also have an adverse effect on the measured spectrum.

关键词： double-pulse LIBS underwater plasma formation emission spectrosocpy

From prediction to prevention:Machine learning revolutionizes hepatocellular carcinoma recurrence monitoring

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World Journal of Gastroenterology 2024年第7期30卷 631-635页

作者： Mariana michelle Ramírez-Mejía Nahum Méndez-Sánchez Plan of Combined Studies in Medicine Faculty of MedicineNational Autonomous University of MexicoDistrito Federal 04510Mexico Liver Research Unit Medica Sur Clinic&FoundationDistrito Federal 14050Mexico Faculty of Medicine National Autonomous University of MexicoDistrito Federal 04510Mexico

In this editorial,we comment on the article by Zhang et al entitled Development of a machine learning-based model for predicting the risk of early postoperative recurrence of hepatocellular *** carcinoma(HCC),which is characterized by high incidence and mortality rates,remains a major global health challenge primarily due to the critical issue of postoperative *** recurrence,defined as recurrence that occurs within 2 years posttreatment,is linked to the hidden spread of the primary tumor and significantly impacts patient *** predictive factors,including both patient-and treatment-related factors,have limited predictive ability with respect to HCC *** integration of machine learning algorithms is fueled by the exponential growth of computational power and has revolutionized HCC *** study by Zhang et al demonstrated the use of a groundbreaking preoperative prediction model for early postoperative HCC *** persist,including sample size constraints,issues with handling data,and the need for further validation and *** study emphasizes the need for collaborative efforts,multicenter studies and comparative analyses to validate and refine the *** these challenges and exploring innovative approaches,such as multi-omics integration,will enhance personalized oncology *** study marks a significant stride toward precise,efficient,and personalized oncology practices,thus offering hope for improved patient outcomes in the field of HCC treatment.

关键词： Hepatocellular carcinoma Early recurrence Machine learning XGBoost model Predictive precision medicine Clinical utility Personalized interventions

Effect of organic mineral supplementation in reducing oxidative stress in Holstein calves during short‑term heat stress and recovery conditions

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Journal of Animal Science and Biotechnology 2024年第2期15卷 812-825页

作者： A-Rang Son Seon-Ho Kim Mahfuzul Islam michelle Miguel Ye Pyae Naing Sang-Suk Lee Ruminant Nutrition and Anaerobe Laboratory Department of Animal Science and TechnologySunchon National UniversitySuncheon 57922Korea Department of Microbiology and Parasitology Sher-e-Bangla Agricultural UniversityDhaka 1207Bangladesh

Background This study investigated the effects of inorganic and organic minerals on physiological responses,oxidative stress reduction,and rumen microbiota in Holstein bull calves(123.81±9.76 kg;5 months old)during short-term heat stress(HS)and recovery *** Holstein calves were randomly assigned to four treatment groups:no mineral supplementation(Con),inorganic minerals(IM),organic minerals(OM),and high-concentration organic minerals(HOM)and two thermal environments(HS and recovery)using 4×2 factorial arrangement in a crossover design of four periods of 35 *** were maintained in a temperature-controlled *** experimental period consisted of 14 d of HS,14 d of recovery condititon,and a 7-d washing *** Body temperature and respiration rate were higher in HS than in the recovery conditions(P0.05).The principal coordinate analysis represented that the overall rumen microbiota was not influenced by mineral supplementation;however,temperature-induced microbial structure shifts were indicated(PERMANOVA:P<0.05).At the phylum level,Firmicutes and Actinobacteria decreased,whereas Fibrobacteres,Spirochaetes,and Tenericutes increased(P<0.05),under HS *** genus Treponema increased under HS conditions,while Christensenella was higher in recovery conditions(P<0.05).Conc

关键词： Antioxidant status Heat stress Holstein bull calves Organic mineral supplementation Oxidative stress

Change in mean postoperative pain in patients undergoing tonsillectomy with cold water versus usual practice:A pragmatic trial

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World Journal of Otorhinolaryngology-Head and Neck Surgery 2024年第1期10卷 24-28页

作者： Haissan Iftikhar Nida Zahid Adan Zubair Mohammad Wasif Nabeel N.Baig Khadijah Abid Muhammad Ozair awan Muhammad Sohail awan Department of Otolaryngology Queen Elizabeth HospitalBirminghamUK Department of Surgery Aga Khan University HospitalKarachiPakistan College of Physicians and Surgeons Higher Education CommissionKarachiPakistan Department of UGME Aga Khan UniversityKarachiPakistan

Introduction:Tonsillectomy is one of the most common procedures performed in *** are various methods to perform tonsillectomies(cold and hot).Thermal damage and inflammation of the surrounding tissue using monopolar cautery is said to point to increased pain whereas immediate cooling of the burnt area is thought to reduce pain owing to heat *** objective was to determine the difference in mean post‐tonsillectomy pain scores among patients irrigated with cold water(4℃)and in patients not irrigated with cold *** and Methods:A quasi‐experimental trial was conducted from January 2016 to December 2017 at a tertiary care *** tonsillectomies were carried out with monopolar cautery at a power of 20 *** either received cold water irrigation post tonsillectomy of the tonsillar bed(intervention arm)or no irrigation(control arm).The pain score was measured on Days 0,1,3,5,and *** scores were charted on a visual analog scale on the respective ***:Seventy‐eight patients were included in the *** mean age of our patients was 10.26(4.24)years old in the intervention arm,and 11.95(4.19)years old in the control *** was observed that the pain was significantly lower in patients with cold water irrigation of the tonsillar fossa on Days 1,3,5,and 7(p=0.001).There were no readmissions postprocedure and none of our patients developed any complications ***:In this trial,we report a reduced pain score at all days of observation in the intervention *** of the tonsillar fossa is a safe,cost-effective,and less technically demanding technique that could be employed to reduce postoperative *** studies with randomization,blinding and a larger sample size could further improve on our results.

关键词： cold water tonsillectomy monopoalr tonsillectomy postoperative pain tonsillectomy

Diplopoda in the world fossil record

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Zoological Systematics 2024年第3期49卷 185-245页

作者： michelle Álvarez-Rodríguez Francisco Riquelme Miguel Hernández-Patricio Fabio Cupul-Magaña Laboratorio de Sistemática Molecular Escuela de Estudios Superiores del JicareroUniversidad Autónoma del Estado de MorelosC.P.62909JojutlaMorelosMexico MMRN Centro de Investigaciones BiológicasUniversidad Autónoma del Estado de MorelosC.P.62209CuernavacaMorelosMexico Unafíliate Centro Universitario de la Costa Universidad de GuadalajaraC.P.48280Puerto VallartaJaliscoMexico

We present a comprehensive catalog with an updated database of the fossil record of Diplopoda in the *** data was collected from descriptions and reports published from 1854 to the *** also include new records from Mexican amber(Upper Oligocene-Lower Miocene),counting 83 unknown fossil inclusions,with the first records of the orders Polyxenida,Platydesmida,and Julida,as well as the families Sphaeriodesmidae and Trichopolydesmidae within *** to our results,Diplopoda counts 413 records featuring 299 distinct taxa ranging from the Middle Silurian to the Upper Pleistocene,representing three subclasses,two subterclasses,six superorders,25 orders,15 superfamilies,55 families,93 genera,and 161 fossil *** date,no fossils of the order Siphonocryptida have been *** fossil record extends over three geological eras:the Paleozoic,with 161 taxa,including 97 species;the Mesozoic,with 53 taxa and 22 species;and the Cenozoic,with 85 taxa and 42 *** referred material shows different forms of fossil *** comprises 123 impressions,99 compressions,26 ichnites,predominantly from Paleozoic and Mesozoic sediments,and 165 amber inclusions from late Mesozoic and Cenozoic ***,this catalog allows us to estimate the size and taxonomic composition of Diplopoda in the fossil record worldwide.

关键词： Millipedes Paleozoic Mesozoic Cenozoic new records catalog