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Investigating the future study area on VR technology implementation in safety training: A systematic literature review

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Journal of Safety Science and Resilience 2024年第2期5卷 235-248页

作者： Adithya Sudiarno Ratna Sari Dewi Retno Widyaningrum ahmad Murtaja Dzaky Ma'arij Aldi Yustisia Supriatna Industrial and Systems Engineering Department Institut Teknologi Sepuluh NopemberSurabaya60111Indonesia Occupational Safety and Health Councilof East Java Province(Dewan K3 Provinsi Jawa Timur) Surabaya60234Indonesia

Safety training is the exercise normally conducted for all the current and future employees of a company to identify and recognize occupational hazards and diseases as well as determine the appropriate controlling ***,virtual reality(VR)is a technology developed to virtually simulate the surrounding envi-ronment to ensure immersive experience and interaction through artificial three-dimensional(3D)*** devices have been developed to be more compact,easy to use,and affordable to enable people to enjoy immersive virtual experiences and provide interactive and realistic *** has made technology one of the most popular forms of media for different kinds of training,such as safety-related ***,this study aimed to review the use of VR in safety training through the systematic literature review(SLR)*** process focused on developing 4 primary questions(PQs)classified into 11 systematic research questions(SRQs)for discussion points concerning current developments in VR technology *** were further combined with the preferred reporting items for systematic reviews and meta-analyses(PRISMA)flow diagrams in selecting the relevant *** questions were also used to investigate the scenarios,methods,objectives,and outcomes of previous *** results showed the need for further studies on the application of VR technology in safety training in other fields such as firefighting,chemical industry,maritime,***,several scenarios such as construction design,disaster response,rescue procedures,and others need to be *** study also provides information on the gaps for future study,including the exploration of a broader range of industries and VR scenarios.

关键词： Virtual reality Safety training VRfuture development Systematic literaturereview

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Optoelectronic and thermoelectric properties of spinel chalcogenides HgLa_(2)X_(4)(X=S and Se):A first-principles study

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Journal of Rare Earths 2024年第10期42卷 1927-1936页

作者： Aparna Dixit Inas AAhmed Jisha Annie Abraham Zeinhom MEl-Bahy Mumtaz Manzoor Sajad ahmad Dar Ramesh Sharma Department of Basic Science and Humanities Pranveer Singh Institute of TechnologyKanpur209305UPIndia Department of Chemistry Faculty of ScienceKing Khalid UniversityAbha62224Saudi Arabia Department of Physics National Defence AcademyPune209305MaharashtraIndia Department of Chemistry Faculty of ScienceAl-Azhar UniversityNasr City.11884CairoEgyp Institute of Physics Slovak Academy of SciencesDubravska cesta 984507BratislavaSlovakia Department of Physics Motilal Vigyan Mahavidyalya CollegeBhopal462008India Department of Applied Science Feroze Gandhi Institute of Engineering and TechnologyRaebareli229001India

We investigated spinel chalcogenides HgLa_(2)(S/Se)_(4)by using density function theory,and scrutinized the structural,optical,electrical,mechanical and thermoelectric transport characteristics of HgLa_(2)(S/Se)_(4)spinel *** enthalpy of formation,energy of cohesion,and energy volume optimum plots were used to obtain the stability as well as the perfect ground state of these *** ductility of these materials was the best illustrated with the help of Poisson's and Pugh's *** band gap results were obtained using Trans and Blaha modified Becke-Johanson potential(TB-mBJ).Both the materials present semi-conducting nature with direct band gap equal to 1.449 and 0.892 eV respectively for HgLa_(2)S_(4)and HgLa_(2)Se_(4).Calculations were also made for optical characteristics with the values of dielectric function,absorption coefficient,optical conductivity,reflectivity,and refractive *** to the findings,both of these materials are suitable for infrared optoelectronic *** materials were found to have promising optoelectronic and thermoelectric applications after their optical properties and transport aspects were *** tiny levels of temperature conductivities,substantial am ounts of power conductivities,the figure of merit(more than unity),as well as Seebecs coefficients all point to the potential use of both the materials in thermoelectric power generators.

关键词： Density functional theory Direct band gap Optoelectronic Thermoelectric Semiconductors Power factor

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Effect of various aromatic compounds with different functional groups on enzymatic hydrolysis of microcrystalline cellulose and alkaline pretreated wheat straw

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Journal of Bioresources and Bioproducts 2024年第2期9卷 211-221页

作者： Yufeng Yuan Xinyu Guo Bo Jiang Wenjuan Wu Tingwei Zhang Michael Sweeney Mehraj ahmad Yongcan Jin Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources International Innovation Center for Forest Chemicals and MaterialsJiangsu Provincial Key Lab of Pulp and Paper Science and TechnologyNanjing Forestry UniversityNanjing 210037China School of Chemistry and Chemical Engineering Queen’s University BelfastBelfast BT71NNNorthern Ireland United Kingdom Department of Food Science and Engineering College of Light Industry and Food EngineeringNanjing Forestry UniversityNanjing 210037China

Low molecular aromatic compounds are detrimental to the enzymatic hydrolysis of ***,the specific role of their functional groups remains ***,a series of nine aromatic compounds as additives were tested to understand their effect on the hydrolysis yield of microcrystalline cellulose(MCC)and alkaline pretreated wheat *** on the results,the inhibition of aldehyde groups on MCC was greater than that of carboxyl groups,whereas for the alkaline pretreated wheat straw case,the inhibitory effect of aldehyde groups was lower than that of carboxyl *** methoxyl groups of aromatic compounds reduced the inhibitory ef-fect on enzymatic hydrolysis of both *** inhibition of aromatic compounds on MCC hydrolysis was detected in comparison with the alkaline pretreated wheat straw,indicating that the substrate lignin can offset the inhibition to a certain *** all aromatic com-pounds,syringaldehyde with one aldehyde group and two methoxyl groups improved the glucan conversion of the alkaline pretreated wheat straw.

关键词： Aromatic compound Functional group Enzymatic hydrolysis Alkaline pretreated wheat straw Microcrystalline cellulose

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Empowering Diagnosis: Cutting-Edge Segmentation and Classification in Lung Cancer Analysis

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Computers, Materials & Continua 2024年第6期79卷 4963-4977页

作者： Iftikhar Naseer Tehreem Masood Sheeraz Akram Zulfiqar Ali Awais ahmad Shafiq Ur Rehman Arfan Jaffar Faculty of Computer Sciences&Information Technology The Superior UniversityLahore54000Pakistan Intelligent Data Visual Computing Research(IDVCR) Lahore54000Pakistan Information System Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia School of Computer Science and Electronic Engineering(CSEE) University of EssexWivenhoe ParkColchesterCO43SQUK

Lung cancer is a leading cause of global mortality *** detection of pulmonary tumors can significantly enhance the survival rate of ***,various Computer-Aided Diagnostic(CAD)methods have been developed to enhance the detection of pulmonary nodules with high ***,the existing method-ologies cannot obtain a high level of specificity and *** present study introduces a novel model for Lung Cancer Segmentation and Classification(LCSC),which incorporates two improved architectures,namely the improved U-Net architecture and the improved AlexNet *** LCSC model comprises two distinct *** first stage involves the utilization of an improved U-Net architecture to segment candidate nodules extracted from the lung ***,an improved AlexNet architecture is employed to classify lung *** the first stage,the proposed model demonstrates a dice accuracy of 0.855,a precision of 0.933,and a recall of 0.789 for the segmentation of candidate *** suggested improved AlexNet architecture attains 97.06%accuracy,a true positive rate of 96.36%,a true negative rate of 97.77%,a positive predictive value of 97.74%,and a negative predictive value of 96.41%for classifying pulmonary cancer as either benign or *** proposed LCSC model is tested and evaluated employing the publically available dataset furnished by the Lung Image Database Consortium and Image Database Resource Initiative(LIDC-IDRI).This proposed technique exhibits remarkable performance compared to the existing methods by using various evaluation parameters.

关键词： Lung cancer segmentation AlexNet U-Net classification

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Dynamics analysis and cryptographic implementation of a fractional-order memristive cellular neural network model

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Chinese Physics B 2024年第4期33卷 418-433页

作者：周新卫蒋东华 Jean De Dieu Nkapkop Musheer ahmad Jules Tagne Fossi Nestor Tsafack 吴建华 Department of Information Engineering Gongqing CollegeNanchang UniversityJiujiang 332020China School of Computer Science and Engineering Sun Yat-Sen UniversityGuangzhou 511400China Department of Electrical Engineering and Industrial Computing University Institute of TechnologyDoualaCameroon Department of Computer Engineering Jamia Millia IslamiaNew Delhi 110025India Department of Physics Faculty of ScienceUniversity of YaoundeCameroon Electrical Engineering Department and Industrial Computing of ISTAMA University of DoualaDoualaCameroon

Due to the fact that a memristor with memory properties is an ideal electronic component for implementation of the artificial neural synaptic function,a brand-new tristable locally active memristor model is first proposed in this ***,a novel four-dimensional fractional-order memristive cellular neural network(FO-MCNN)model with hidden attractors is constructed to enhance the engineering feasibility of the original CNN model and its ***,its hardware circuit implementation and complicated dynamic properties are investigated on multi-simulation ***,it is used toward secure communication application *** it as the pseudo-random number generator(PRNG),a new privacy image security scheme is designed based on the adaptive sampling rate compressive sensing(ASR-CS)***,the simulation analysis and comparative experiments manifest that the proposed data encryption scheme possesses strong immunity against various security attack models and satisfactory compression performance.

关键词： cellular neural network memristor hardware circuit compressive sensing privacy data protection

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Forestvoltaics,Floatovoltaics and Building Applied Photovoltaics(BAPV)Potential for a University Campus

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Energy Engineering 2024年第9期121卷 2331-2361页

作者： Rittick Maity Muhammad Khairul Imran bin ahmad Shuhaimi Kumarasamy Sudhakar Amir Abdul Razak Faculty of Electrical and Electronics Engineering Technology Universiti Malaysia Pahang Al-Sultan AbdullahPekan26600Malaysia Centre for Research in Advanced Fluid and Processes UniversitiMalaysia Pahang Al-Sultan AbdullahGambang26300Malaysia Faculty of Mechanical and Automotive Engineering Technology Universiti Malaysia Pahang Al-Sultan AbdullahPekan26600Malaysia Centre for Automotive Engineering Universiti Malaysia Pahang Al-Sultan AbdullahPekan26600Malaysia Energy Centre Maulana Azad National Institute of TechnologyBhopal462003India

The United Nations’Sustainable Development Goals(SDGs)highlight the importance of affordable and clean energy *** energy is a perfect example,being both renewable and *** popularity shows no signs of slowing down,with solar photovoltaic(PV)panels being the primary technology for converting sunlight into *** are continuously being made to ensure cost-effectiveness,high-performing cells,extended lifespans,and minimal maintenance *** study focuses on identifying suitable locations for implementing solar PVsystems at theUniversityMalaysia PahangAl SultanAbdullah(UMPSA),Pekan campus including buildings,water bodies,and forest areas.A combined technical and economic analysis is conducted using Helioscope for simulations and the Photovoltaic Geographic Information System(PVGIS)for economic *** simulation examine case studies for PV installations in forested areas,lakes,and *** approach provides comprehensive estimations of solar photovoltaic potential,annual cost savings,electricity costs,and greenhouse gas emission *** on land coverage percentages,Floatovoltaics have a large solar PV capacity of 32.3 Megawatts(MW);forest-based photovoltaics(Forestvoltaics)achieve maximum yearly savings of RM 37,268,550;and Building Applied Photovoltaics(BAPV)have the lowest CO2 emissions and net carbon dioxide reduction compared to other plant *** also clarifies the purpose of using both software tools to achieve a comprehensive understanding of both technical and economic aspects.

关键词： Helioscope solar photovoltaic PV GIS performance land coverage economics

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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

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The Emotional Intelligence and the Associated Factors among Nursing Students

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Open Journal of Nursing 2024年第3期14卷 114-126页

作者： ahmad Batran Faculty of Allied Medical Sciences Department of Nursing Palestine Ahliya University Bethlehem Palestine

Introduction: Emotional intelligence, or the capacity to cope one’s emotions, makes it simpler to form good connections with others and do caring duties. Nursing students can enroll a health team in a helpful and beneficial way with the use of emotional intelligence. Nurses who can identify, control, and interpret both their own emotions and those of their patients provide better patient care. The purpose of this study was to assess the emotional intelligence and to investigate the relationship and differences between emotional intelligence and demographic characteristics of nursing students. Methods: A cross-sectional study was carried out on 381 nursing students. Data collection was completed by “Schutte Self Report Emotional Intelligence Test”. Data were analyzed with the Statistical Package for Social Science. An independent t test, ANOVA, and Pearson correlation, multiple linear regression were used. Results: The results revealed that the emotional intelligence mean was 143.1 ± 21.6 (ranging from 33 to 165), which is high. Also, the analysis revealed that most of the participants 348 (91.3%) had higher emotional intelligence level. This finding suggests that nursing students are emotionally intelligent and may be able to notice, analyze, control, manage, and harness emotion in an adaptive manner. Also, academic year of nursing students was a predictor of emotional intelligence. Furthermore, there was positive relationship between the age and emotional intelligence (p < 0.05). The students’ ability to use their EI increased as they rose through the nursing grades. Conclusion: This study confirmed that the emotional intelligence score of the nursing students was high. Also, academic year of nursing students was a predictor of emotional intelligence. In addition, a positive relationship was confirmed between the emotional intelligence and age of nursing students. .

关键词： Students Nursing Emotional Intelligence

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Explainable AI-Based DDoS Attacks Classification Using Deep Transfer Learning

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Computers, Materials & Continua 2024年第9期80卷 3785-3802页

作者： ahmad Alzu’bi Amjad Albashayreh Abdelrahman Abuarqoub Mai A.M.Alfawair Department of Computer Science Jordan University of Science and TechnologyIrbid22110Jordan Department of Computer Science The University of JordanAmman11942Jordan Cardiff School of Technologies Cardiff Metropolitan UniversityCardiffCF52YBUK Prince Abdullah bin Ghazi Faculty of Information and Communication Technology Al-Balqa Applied UniversitySalt19117Jordan

In the era of the Internet of Things(IoT),the proliferation of connected devices has raised security concerns,increasing the risk of intrusions into diverse *** the convenience and efficiency offered by IoT technology,the growing number of IoT devices escalates the likelihood of attacks,emphasizing the need for robust security tools to automatically detect and explain *** paper introduces a deep learning methodology for detecting and classifying distributed denial of service(DDoS)attacks,addressing a significant security concern within IoT *** effective procedure of deep transfer learning is applied to utilize deep learning backbones,which is then evaluated on two benchmarking datasets of DDoS attacks in terms of accuracy and time *** leveraging several deep architectures,the study conducts thorough binary and multiclass experiments,each varying in the complexity of classifying attack types and demonstrating real-world ***,this study employs an explainable artificial intelligence(XAI)AI technique to elucidate the contribution of extracted features in the process of attack *** experimental results demonstrate the effectiveness of the proposed method,achieving a recall of 99.39%by the XAI bidirectional long short-term memory(XAI-BiLSTM)model.

关键词： DDoS attack classification deep learning explainable AI cybersecurity

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Current updates on the epidemiology,pathogenesis and development of small molecule therapeutics for the treatment of Ebola virus infections

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Asian Pacific Journal of Tropical Medicine 2024年第7期17卷 285-298,I0001-I0007页

作者： Shah Alam Khan Neelima Shrivastava MdJawaid Akhtar Aftab ahmad Asif Husain Department of Pharmaceutical Chemistry College of PharmacyNational University of Science and TechnologyPO Box 620Postal code 130MuscatSultanate of Oman Centre of Molecular Medicine and Diagnostics(COMMAND) Saveetha Dental College&HospitalsSaveetha Institute of Medical&Technical SciencesSaveetha UniversityChennai 600077India Department of Pharmaceutical Chemistry School of Pharmaceutical Education and ResearchJamia HamdardNew Delhi-110062India Department of Health Information Technology the Applied CollegeKing Abdulaziz UniversityJeddah-21589Kingdom of Saudi Arabia

Ebola virus disease(EVD)is a rare,highly contagious and a deadly disease with a variable fatality rate ranging from 30%to 90%.Over the past two decades,Ebola pandemic has severely affected the sub-Sahara region including Democratic Republic of the Congo(DRC),and *** causative agents of the most EVD cases are three distinct species out of six Ebolaviruses namely Zaire Ebolavirus(ZEBOV),Sudan Ebolavirus(SUDV)and Bundibugyo Ebolavirus(BDBV).In recent years,significant strides have been made in therapeutic ***,the US Food and Drug Administration has approved two monoclonal antibodies:InmazebTM(REGN-EB3)and Ansuvimab or ***,many small molecules are currently in the developmental stage,promising further progress in medical *** the critical need for preventive measures,this review provides an in-depth analysis of the licensed Ebola vaccines-Ervebo and the combination of Zabdeno(***)and Mvabea(MVA-BN-Filo)as well as the vaccines which are currently being tested for their efficacy and safety in clinical *** vaccines might play an important role in curbing the spread and mitigating the impact of this lethal *** current treatment landscape for EVD encompasses both nutritional(supportive)and drug *** review comprehensively details the origin,pathogenesis,and epidemiology of EVD,shedding light on the ongoing efforts to combat this devastating *** explores small molecules in various stages of the development,discusses patents filed or granted,and delves into the clinical and supportive therapies that form the cornerstone of EVD *** review aims to provide the recent developments made in the design and synthesis of small molecules for scientific community to facilitate a deeper understanding of the disease and fostering the development of effective strategies for prevention,treatment,and control of EVD.

关键词： Ebola Epidemic Vaccine Ebola virus diseas

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