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Enhanced Topic-Aware Summarization Using Statistical Graph Neural Networks

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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Shear wave velocity model using HVSR inversion beneath Bandar Lampung City

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Earthquake Science 2024年第4期37卷 337-351页

作者： ahmad Zaenudin Alhada Farduwin Gede I Boy Darmawan Karyanto Department of Geophysical Engineering University of LampungBandar Lampung 35145Indonesia Department of Geophysical Engineering Sumatera Institute of TechnologySouth Lampung 35365Indonesia

The horizontal-to-vertical spectral ratio(HVSR)method has been used to characterize site-effect parameters that are indispensable in seismic hazard and risk-reduction studies in urban areas and rapid land-use *** method is widely used because it is the cheapest and simplest geophysical method for the acquisition and processing *** subsequent developments,the HVSR method has been widely used to determine elastic rock parameters,particularly shear wave velocity(v_(S)),through the HVSR curve inversion ***,the v_(S)structural model can be used to delineate the presence of complex geological structures,particularly faults and sedimentary *** Lampung is a city in Lampung Province with many fault structures and groundwater basins to the *** are 83 HVSR measurement points around Bandar Lampung for delineating the presence of fault structures and groundwater *** produced the HVSR curve from the measurement results and then performed an inversion process using the particle swarm optimization algorithm to obtain v_(S)for the depth ***,from this profile,we produced a two-dimensional(2D)lateral and vertical *** mean v_(S)value was calculated from all the measurement points,and we found stiff soil layers reaching depths of approximately 5 m,with a value of v_(S)<330 m/s.A bedrock layer with a velocity exceeding 1250 m/s was visible at a depth of 100 *** on the 2D model,the v_(S)structure shows that the city of Bandar Lampung is divided into two zones,with a NW-SE *** north-middle-eastern part of the city consists of harder *** harder rock is characterized by extremely high v_(S)values,starting from a depth of 50 *** contrast,the south-middle-west exhibits a low-moderate v_(S)anomaly associated with groundwater basins SW of the *** the 2D v_(S)structural model,fault structures can be found along the city,characterized by a contrast of v_(S)values from low to medium and from me

关键词： shear wave velocity HVSR fault structures groundwater basin Bandar Lampung City

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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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Soil erosion susceptibility mapping of Hangu Region,Kohat Plateau of Pakistan using GIS and RS-based models

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Journal of Mountain Science 2024年第8期21卷 2547-2561页

作者： Fakhrul ISLAM Liaqat Ali WASEEM Tehmina BIBI Waqar ahmad Muhammad SADIQ Matee ULLAH Walid SOUFAN Aqil TARIQ Department of Geology Khushal Khan Khattak UniversityKarak 27200Pakistan Department of Geography Government College University FaisalabadPunjab 38000Pakistan Institute of Geology The University of Azad Jammu&KashmirMuzaffarabad 13100Pakistan Department of Earth Sciences Changan UniversityXi’an 710003China NCEG University of PeshawarPeshawar 25120Pakistan Faculty of Earth Sciences Geography and AstronomyUniversity of ViennaVienna 1090Austria Plant Production Department College of Food and Agriculture SciencesKing Saud UniversityRiyadh 11451Saudi Arabia Department of Wildlife Fisheries and AquacultureCollege of Forest ResourcesMississippi State UniversityMS 39762USA

Soil erosion is a crucial geo-environmental hazard worldwide that affects water quality and agriculture,decreases reservoir storage capacity due to sedimentation,and increases the danger of flooding and ***,this study uses geospatial modeling to produce soil erosion susceptibility maps(SESM)for the Hangu region,Khyber Pakhtunkhwa(KPK),*** Hangu region,located in the Kohat Plateau of KPK,Pakistan,is particularly susceptible to soil erosion due to its unique geomorphological and climatic ***,the Hangu region is characterized by a combination of steep slopes,variable rainfall patterns,diverse land use,and distinct soil types,all of which contribute to the complexity and severity of soil erosion *** factors necessitate a detailed and region-specific study to develop effective soil conservation *** this research,we detected and mapped 1013 soil erosion points and prepared 12 predisposing factors(elevation,aspect,slope,Normalized Differentiate Vegetation Index(NDVI),drainage network,curvature,Land Use Land Cover(LULC),rainfall,lithology,contour,soil texture,and road network)of soil erosion using GIS ***,GIS-based statistical models like the weight of evidence(WOE)and frequency ratio(FR)were applied to produce the SESM for the study *** SESM was reclassified into four classes,i.e.,low,medium,high,and very high *** results of WOE for SESM show that 16.39%,33.02%,29.27%,and 21.30%of areas are covered by low,medium,high,and very high zones,*** contrast,the FR results revealed that 16.50%,24.33%,35.55%,and 23.59%of the areas are occupied by low,medium,high,and very high ***,the reliability of applied models was evaluated using the Area Under Curve(AUC)*** validation results utilizing the area under curve showed that the success rate curve(SRC)and predicted rate curve(PRC)for WOE are 82%and 86%,respectively,while SRC and PRC for FR are 85%and 96%,res

关键词： Soil erosion Geospatial technology Statistical models Hangu Pakistan

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Developing Lexicons for Enhanced Sentiment Analysis in Software Engineering:An Innovative Multilingual Approach for Social Media Reviews

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Computers, Materials & Continua 2024年第5期79卷 2771-2793页

作者： Zohaib ahmad Khan Yuanqing Xia Ahmed Khan Muhammad Sadiq Mahmood Alam Fuad AAwwad Emad A.A.Ismail School of Automation Beijing Institute of TechnologyBeijing100081China Department of Computer Science and Technology University of Science and Technology BannuKPKBannu28100Pakistan School of Computer Science and Engineering Central South UniversityChangsha410083China Department of Quantitative Analysis College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh11587Saudi Arabia

Sentiment analysis is becoming increasingly important in today’s digital age, with social media being a significantsource of user-generated content. The development of sentiment lexicons that can support languages other thanEnglish is a challenging task, especially for analyzing sentiment analysis in social media reviews. Most existingsentiment analysis systems focus on English, leaving a significant research gap in other languages due to limitedresources and tools. This research aims to address this gap by building a sentiment lexicon for local languages,which is then used with a machine learning algorithm for efficient sentiment analysis. In the first step, a lexiconis developed that includes five languages: Urdu, Roman Urdu, Pashto, Roman Pashto, and English. The sentimentscores from SentiWordNet are associated with each word in the lexicon to produce an effective sentiment score. Inthe second step, a naive Bayesian algorithm is applied to the developed lexicon for efficient sentiment analysis ofRoman Pashto. Both the sentiment lexicon and sentiment analysis steps were evaluated using information retrievalmetrics, with an accuracy score of 0.89 for the sentiment lexicon and 0.83 for the sentiment analysis. The resultsshowcase the potential for improving software engineering tasks related to user feedback analysis and productdevelopment.

关键词： Emotional assessment regional dialects SentiWordNet naive bayesian technique lexicons software engineering user feedback

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Automatic Finding of Brain-Tumour Group Using CNN Segmentation and Moth-Flame-Algorithm,Selected Deep and Handcrafted Features

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Computers, Materials & Continua 2024年第5期79卷 2585-2608页

作者： Imad Saud Al Naimi Syed Alwee Aljunid Syed Junid Muhammad lmran ahmad K.Suresh Manic Faculty of Electronic Engineering Technology University Malaysia Perils(UniMAP)Pauh Putra CampusArauPerlis02600Malaysia Department of Electrical and Communication Engineering National University of Science and TechnologyAL HailAL Seeb130Sultanate of Oman Department of Research and Innovation Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)ChennaiTamiNadu602105India

Augmentation of abnormal cells in the brain causes brain tumor(BT),and early screening and treatmentwill reduce its harshness in ***’s clinical level screening is usually performed with Magnetic Resonance Imaging(MRI)due to its multi-modality *** overall aims of the study is to introduce,test and verify an advanced image processing technique with algorithms to automatically extract tumour sections from brain MRI scans,facilitating improved *** research intends to devise a reliable framework for detecting the BT region in the twodimensional(2D)MRI slice,and identifying its class with improved *** methodology for the devised framework comprises the phases of:(i)Collection and resizing of images,(ii)Implementation and Segmentation of Convolutional Neural Network(CNN),(iii)Deep feature extraction,(iv)Handcrafted feature extraction,(v)Moth-Flame-Algorithm(MFA)supported feature reduction,and(vi)Performance *** study utilized clinical-grade brain MRI of BRATS and TCIA datasets for the *** framework segments detected the glioma(low/high grade)and glioblastoma class *** work helped to get a segmentation accuracy of over 98%with VGG-UNet and a classification accuracy of over 98%with the VGG16 *** study has confirmed that the implemented framework is very efficient in detecting the BT in MRI slices with/without the skull section.

关键词： Brain tumour VGG-UNet VGG16 moth-flame-algorithm classification

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A review on marine collagen:sources,extraction methods,colloids properties,and food applications

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胶原与皮革（英文） 2024年第1期6卷 1-27页

作者： Shahzad Farooq Muhammad Ijaz ahmad Shijie Zheng Usman Ali Yang Li Cui Shixiu Hui Zhang Jiaxing Institute of Future Food Jiaxing 314050China College of Biosys-tems Engineering and Food Science Zhejiang Key Laboratory for Agro-Food ProcessingZhejiang UniversityHangzhou 310058China Jiaxing Institute of Future Food Jiaxing 314050China College of Biosys-tems Engineering and Food Science Zhejiang Key Laboratory for Agro-Food ProcessingZhejiang UniversityHangzhou 310058China

The growing interest in valorizing industrial by-products has led researchers to focus on exploring different sources and optimizing collagen extraction conditions over the past *** bovine hide,cattle bones,pork,and pig skins remain the most abundant collagen sources,there is a growing trend in the industrial utilization of collagen from non-mammalian *** review explores alternative marine collagen sourcesand summarizes emerging trends in collagen recovery from marine sources,with a particular focus on environmentally friendly ***-tionally,this review covers the colloidal structure-forming properties of marine collagens,including foam,film,gel,and emulsion *** also highlights the potential and important applications of marine collagen in various food *** on the currently reported marine sources,collagens extracted from fish,jellyfish,and sea cucumbers were found to have the highest yield and mostly comprised type-l collagen,while crustaceans and mollusks yielded lower percentages of *** extraction techniques isolate collagen based on acetic acid and pepsin treatment,but they come with drawbacks such as being time-consuming,causing sample destruction,and using ***,marine collagen extracted using conventional methods assisted with ultrasonication resulted in higher yields and strengthened the triple-stranded helical ***,an increasing number of new applications have been found in the food industry for marine collagens,such as biodegradable film-forming materi-als,colloid stabilizers,foaming agents,and micro-encapsulating ***,collagen is a modern foodstuff and is extensively used in the beverage,dairy,and meat industries to increase the stability,consistency,and elasticity of products.

关键词： Marine collagen Jellyfish Sea cucumber Colloid stabilizer Edible film Dairy product

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A review on ultra-small undoped MoS_(2) as advanced catalysts for renewable fuel production

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Carbon Energy 2024年第2期6卷 92-112页

作者： Guoping Liu Lingling Ding Yuxuan Meng ahmad Ali Guifu Zuo Xianguang Meng Kun Chang Oi Lun Li Jinhua Ye Hebei Provincial Laboratory of Inorganic Nonmetallic Materials College of Materials Science and EngineeringNorth China University of Science and TechnologyTangshanChina College of Materials Science and Technology Nanjing University of Aeronautics and AstronauticsNanjingChina School of Materials Science and Engineering Pusan National UniversityBusanKorea International Center for Materials Nanoarchitectonics(WPIMANA) National Institute for Materials Science(NIMS)1-1 NamikiTsukubaIbarakiJapan

Molybdenum disulfide(MoS_(2))has garnered significant attention in the field of catalysis due to the high density of active sites in its unique two-dimensional(2D)structure,which could be developed into numerous high-performance *** synthesis of ultra-small MoS2 particles(<10 nm)is highly desired in various experimental *** ultra-small structure could often lead to a distinct S-Mo coordination state and nonstoichiometric composition in MoSx,minimizing in-plane active sites of the 2D structure and making it probable to regulate the atomic and electronic structure of its intrinsic active sites on a large extent,especially in MoSx *** article summarizes the recent progress of catalysis over ultra-small undoped MoS_(2) particles for renewable fuel *** a systematic review of their synthesis,structural,and spectral characteristics,as well as the relationship between their catalytic performance and inherent defects,we aim to provide insights into catalysis over this matrix that may potentially enable advancement in the development of high-performance MoS_(2)-based catalysts for sustainable energy generation in the future.

关键词： applications catalytic MoS_(2) structure synthesis

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Exploring the thermophysical properties of natural deep eutectic solvents for gas capture applications: a comprehensive review

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Green Chemical Engineering 2024年第3期5卷 307-338页

作者： ahmad Al-Bodour Noor Alomari Alberto Guti errez Santiago Aparicio Mert Atilhan Department of Chemical and Paper Engineering Western Michigan University Department of Chemistry University of Burgos Faculty of Sciences

With the intensifying challenge of global warming driven largely by anthropogenic activities, effective greenhouse gas capture techniques are critical. This paper focuses on the role of deep eutectic solvents(DES) as promising agents for such capture at the source. We review the key DES-based methods for greenhouse gas capture, drawing conclusions from a thorough analysis of the existing literature. In particular, we examine the effect of DES structure on gas solubilities and explore the mechanism of gas solubility in DES through molecular simulation. We present a synthesis of state-of-the-art results in this area, assessing the potential of DES as an alternative to current industrial gas capture methods. Furthermore, we propose future research directions for the design of novel DES tailored to more specific applications.

关键词： Global warming Climate change Deep eutectic solvents Gas capture Gas separation

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Deep Morphea in an Immunosuppressed Patient With Anti-U1RNP Myositis:A Case Report

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International Journal of Dermatology and Venereology 2024年第2期7卷 111-114页

作者： ahmad Berjawi Laure L.Irani Jinane R.El Khoury Department of Dermatology Gilbert and Rose Marie Chagoury School of MedicineLebanese American UniversityBeirut 1100Lebanon Department of Rheumatology Division of Internal MedicineGilbert and Rose Marie Chagoury School of MedicineLebanese American University Medical CenterBeirut 1100Lebanon

Introduction:Morphea is an inflammatory skin disease characterized by skin thickening due to increased collagen deposition in the dermis or subcutaneous ***-U1RNP myositis is a newly described entity characterized by myositis,arthritis,interstitial lung disease,and Raynaud *** present a case of a unique combination of deep morphea in a patient with anti-U1RNP *** presentation:A 64-year-old male with 5-year history of proximal muscle weakness,polyarthritis,Raynaud phenomenon,and dyspnea on multiple immunosuppressives presented with localized infiltrated,tight,and hyperpigmented plaques over the posterior thighs and mid-to-lower back developing over the last 2 years and limiting his *** workup revealed a positive ANA,anti-U1RNP antibody,anti-Jo1 antibody,and anti-Ro52 *** workup showed restrictive lung disease,kidney disease,and *** was diagnosed with anti-U1RNP *** biopsy of the back lesion showed deep ***:Association of deep morphea with anti-U1RNP myositis is not described prior in the *** of morphea is challenging since the patient is already on immunosuppressive *** patient failed methotrexate prior and is currently on Mycophenolate mofetil and Deflazacort which are reported as potential treatment for ***,physical therapy plus topical Tacrolimus were suggested as an initial measure to preserve the range of motion of his posterior thighs and *** is a case of progressive deep morphea developing in a patient with a unique autoimmune profile on immunosuppressive ***:Anti-U1RNP myositis is a challenging diagnosis and should be always thought of in patients with positive anti-U1RNP,myositis,interstitial lung disease,arthritis,kidney disease,and Raynaud ***,deep morphea treatment in immunosuppressed patients is challenging and different measures should be considered.

关键词： deep morphea immunosuppression anti-U1RNP myositis case report

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