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An Effective Runge-Kutta Optimizer Based on Adaptive Population Size and Search Step Size

Computers, Materials & Continua 2023年第9期76卷 3443-3464页

作者： ala kana Imtiaz Ahmad Department of Computer Engineering College of Engineering and PetroleumKuwait UniversityKuwait CityKuwait

A newly proposed competent population-based optimization algorithm called RUN,which uses the principle of slope variations calculated by applying the Runge Kutta method as the key search mechanism,has gained wider interest in solving optimization ***,in high-dimensional problems,the search capabilities,convergence speed,and runtime of RUN *** work aims at filling this gap by proposing an improved variant of the RUN algorithm called the *** size plays a vital role in both runtime efficiency and optimization effectiveness of metaheuristic *** the original RUN where population size is fixed throughout the search process,Adaptive-RUN automatically adjusts population size according to two population size adaptation techniques,which are linear staircase reduction and iterative halving,during the search process to achieve a good balance between exploration and exploitation *** addition,the proposed methodology employs an adaptive search step size technique to determine a better solution in the early stages of evolution to improve the solution quality,fitness,and convergence speed of the original ***-RUN performance is analyzed over 23 IEEE CEC-2017 benchmark functions for two cases,where the first one applies linear staircase reduction with adaptive search step size(LSRUN),and the second one applies iterative halving with adaptive search step size(HRUN),with the original *** promote green computing,the carbon footprint metric is included in the performance evaluation in addition to runtime and *** results based on the Friedman andWilcoxon tests revealed that Adaptive-RUN can produce high-quality solutions with lower runtime and carbon footprint values as compared to the original RUN and three recent ***,with its higher computation efficiency,Adaptive-RUN is a much more favorable choice as compared to RUN in time stringent applications.

关键词： Optimization Runge Kutta(RUN) metaheuristic algorithm exploration exploitation population size adaptation adaptive search step size

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Image Splicing Forgery Detection Using Feature-Based of Sonine Functions and Deep Features

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Computers, Materials & Continua 2024年第1期78卷 795-810页

作者： ala’a R.Al-Shamasneh Rabha W.Ibrahim Department of Computer Science College of Computer&Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Science and Mathematics Lebanese American UniversityBeirut11022801Lebanon Department of Mathematics Mathematics Research CenterNear East UniversityNicosia99138Turkey Information and Communication Technology Research Group Scientific Research CenterAlayen UniversityDhi Qar64001Iraq

The growing prevalence of fake images on the Internet and social media makes image integrity verification a crucial research *** of the most popular methods for manipulating digital images is image splicing,which involves copying a specific area from one image and pasting it into *** were made to mitigate the effects of image splicing,which continues to be a significant research *** study proposes a new splicing detectionmodel,combining Sonine functions-derived convex-based features and deep *** stages make up the proposed *** first step entails feature extraction,then classification using the“support vector machine”(SVM)to differentiate authentic and spliced *** proposed Sonine functions-based feature extraction model reveals the spliced texture details by extracting some clues about the probability of image *** proposed model achieved an accuracy of 98.93% when tested with the CASIA V2.0 dataset“Chinese Academy of Sciences,Institute of Automation”which is a publicly available dataset for forgery *** experimental results show that,for image splicing forgery detection,the proposed Sonine functions-derived convex-based features and deep features outperform state-of-the-art techniques in terms of accuracy,precision,and ***,the obtained detection accuracy attests to the benefit of using the Sonine functions alongside deep feature *** the regions or locations where image tampering has taken place is limited by the *** research will need to look into advanced image analysis techniques that can offer a higher degree of accuracy in identifying and localizing tampering regions.

关键词： Image forgery image splicing deep learning Sonine functions

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A Review of Privacy and Security of Edge Computing in Smart Healthcare Systems: Issues, Challenges, and Research Directions

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Tsinghua Science and Technology 2024年第4期29卷 1152-1180页

作者： Ahmad Alzu’bi ala’a Alomar Shahed Alkhaza’leh Abdelrahman Abuarqoub Mohammad Hammoudeh Department of Computer Science Jordan University of Science and TechnologyIrbid 22110Jordan Cardiff School of Technologies Cardiff Metropolitan UniversityCardiff CF52YBUK Department of Information and Computer Science King Fahd University of Petroleum and MineralsDhahran 31261Kingdom of Saudi Arabia

The healthcare industry is rapidly adapting to new computing environments and technologies. With academics increasingly committed to developing and enhancing healthcare solutions that combine the Internet of Things (IoT) and edge computing, there is a greater need than ever to adequately monitor the data being acquired, shared, processed, and stored. The growth of cloud, IoT, and edge computing models presents severe data privacy concerns, especially in the healthcare sector. However, rigorous research to develop appropriate data privacy solutions in the healthcare sector is still lacking. This paper discusses the current state of privacy-preservation solutions in IoT and edge healthcare applications. It identifies the common strategies often used to include privacy by the intelligent edges and technologies in healthcare systems. Furthermore, the study addresses the technical complexity, efficacy, and sustainability limits of these methods. The study also highlights the privacy issues and current research directions that have driven the IoT and edge healthcare solutions, with which more insightful future applications are encouraged.

关键词： edge computing fog computing data privacy healthcare systems intelligent edges

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CapsNet-FR: Capsule Networks for Improved Recognition of Facial Features

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Computers, Materials & Continua 2024年第5期79卷 2169-2186页

作者： Mahmood Ul Haq Muhammad Athar Javed Sethi Najib Ben Aoun ala Saleh Alluhaidan Sadique Ahmad Zahid farid Department of Computer System Engineering University of Engineering&TechnologyPeshawar25000Pakistan College of Computer Science and Information Technology Al-Baha UniversityAlaqiq65779-7738Saudi Arabia REGIM-Lab:Research Groups in Intelligent Machines National School of Engineers of Sfax(ENIS)University of SfaxSfax3038Tunisia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia EIAS:Data Science and Blockchain Laboratory College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Sciences Bahria University Karachi CampusKarachi541004Pakistan Department of Electrical Engineering Abasyn UniversityPeshawar25000Pakistan

Face recognition (FR) technology has numerous applications in artificial intelligence including biometrics, security,authentication, law enforcement, and surveillance. Deep learning (DL) models, notably convolutional neuralnetworks (CNNs), have shown promising results in the field of FR. However CNNs are easily fooled since theydo not encode position and orientation correlations between features. Hinton et al. envisioned Capsule Networksas a more robust design capable of retaining pose information and spatial correlations to recognize objects morelike the brain does. Lower-level capsules hold 8-dimensional vectors of attributes like position, hue, texture, andso on, which are routed to higher-level capsules via a new routing by agreement algorithm. This provides capsulenetworks with viewpoint invariance, which has previously evaded CNNs. This research presents a FR model basedon capsule networks that was tested using the LFW dataset, COMSATS face dataset, and own acquired photos usingcameras measuring 128 × 128 pixels, 40 × 40 pixels, and 30 × 30 pixels. The trained model outperforms state-ofthe-art algorithms, achieving 95.82% test accuracy and performing well on unseen faces that have been blurred orrotated. Additionally, the suggested model outperformed the recently released approaches on the COMSATS facedataset, achieving a high accuracy of 92.47%. Based on the results of this research as well as previous results, capsulenetworks perform better than deeper CNNs on unobserved altered data because of their special equivarianceproperties.

关键词： CapsNet face recognition artificial intelligence

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Triplet−Triplet Annihilation-Based Photon Upconversion with a Macrocyclic Parallel Dimer

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Precision Chemistry 2024年第10期2卷 539-544页

作者： Catherine H.Mulyadi Masanori Uji Bhavesh Parmar kana Orihashi Nobuhiro Yanai Department of Applied Chemistry Graduate School of EngineeringKyushu UniversityNishi-kuFukuoka 819-0395Japan Department of Chemistry Graduate School of ScienceThe University of TokyoBunkyo-kuTokyo 113-0033Japan CREST JSTKawaguchiSaitama 332-0012Japan

The integration of multiple chromophore units into a single molecule is expected to improve the performance of photon upconversion based on triplet−triplet annihilation(TTA-UC)that can convert low energy photons to higher energy photons at low excitation *** this study,a macrocyclic parallel dimer of 9,10-diphenylanthracene(DPA)with a precisely parallel orientation,named MPD-2,is synthesized,and its TTAUC properties are ***-2 shows a green-to-blue TTA-UC emission in the presence of a triplet sensitizer,platinum octaethylporphyrin(PtOEP).Compared to monomeric DPA,MPD-2 results in an enhancement of the spin statistical factor of TTA and a decrease in the excitation light intensity due to the intramolecular TTA *** obtained structure−property relationship provides important information for the further improvement of TTA-UC properties.

关键词： photon upconversion triplet−triplet annihilation macrocyclic parallel dimer spin statistical factor anthracene

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Prediction of Low Heating Value of Sugar Cane Bagasse as a Fuel for Industrial Boilers in the High Relative Humidity Region: Case of Cameroon

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Open Journal of Applied Sciences 2024年第6期14卷 1604-1624页

作者： Pierre kana-Donfack Maxell Tientcheu-Nsiewe Denis Tcheukam-Toko César Kapseu Department of Mechanical Engineering College of Technology University of Buea Buea Cameroon Department of Fundamental Sciences and Engineering Technology School of Chemical Engineering and Mineral Industries University of Ngaoudr Ngaoudr Cameroon Department of Process Engineering National School of Agro-Industrial Science University of Ngaoundr Ngaoudr Cameroon

Many attempts have been made to estimate calorific value of bagasse using mathematical equations, which were created based on data from proximate, ultimate, physical and chemical analysis. Questions have been raised on the applicability of these equations in different parts of the globe. This study was initiated to tackle these problems and also check the most suited mathematical models for the Law Heating Value of Cameroonian bagasse. Data and bagasse samples were collected at the Cameroonian sugarcane factory. The effects of cane variety, age of harvesting, source, moisture content, and sucrose on the LHV of Cameroon bagasse have been tested. It was shown that humidity does not change within a variety, but changes from the dry season to the rainy season;the sugar in the rainy season is significantly different from that collected in the dry season. Samples of the same variety have identical LHV. LHV in the dry season is significantly different from LHV in the rainy season. According to the fact that this study was done for cane with different ages of harvesting, the maturity of Cameroonian sugarcane does not affect LHV of bagasse. Tree selected models are much superior tool for the prediction of the LHV for bagasse in Cameroon compared to others. The standard deviation of these validated models is around 200 kJ/kg compared to the experimental. Thus, the models determined in foreign countries, are not necessarily applicable in predicting the LHV of bagasse in other countries with the same accuracy as that in their native country. There was linear relationship between humidity, ash and sugar content in the bagasse. It is possible to build models based on data from physical composition of bagasse using regression analysis.

关键词： Sugarcane Bagasse Relative Humidity Ash Low Heating Value

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Fruit Powder of Tetrapleura tetraptera in Local Feed on Some Zootechnical Performances of Juveniles of Clarias gariepinus in Concrete Tank

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Open Journal of Animal Sciences 2024年第2期14卷 56-69页

作者： Ngouana Tadjong Ruben Abdoulaye Abdoulaye kana Jean Raphaël Téguia Alexis Laboratory of Aquaculture and Demography of Fisheries Resources Aquaculture Department Institute of Fisheries and Aquatic Science of Yabassi University of Douala Douala Cameroon Laboratory of Animal Nutrition Department of Animal Science Faculty of Agronomy and Agricultural Sciences University of Dschang Dschang Cameroon

This study focused on the supplementation of four-sided spice fruit powder (Tetrapleura tetraptera) on some zootechnical performances of juveniles of Clarias gariepinus and was carried out from February 14 to July 20 at the Massoma Fish Farm of Bojongo Mbeidi located in the Littoral Region, Department of Wouri, Douala IV district. The farm benefits from a climate favorable to aquaculture activity. For this purpose, five (5) treatments were tested including T0+ (imported feed), T0-, T0.3, T0.4, and T0.5 respectively for the treatments with 0% supplemented food;0.3%;0.4% and 0.5% of Tetrapleura tetraptera powder. A total of 450 Clarias gariepinus fry with an initial average weight of 7 ± 1.5 g, were distributed in happas of 0.49 m2 each placed in Triplicate in a completely randomized device. Four isoprotein foods with 38% crude protein were formulated to feed these fry at 7% of their biomass per day for 15 days then to their fullness until the end of the experiment. Intermediate fishing was carried out every fortnight. 75 days later, the results recorded show that the highest average survival rate (96.44% ± 3.5%) was recorded with the subjects fed feed supplemented with 0.4% T. tetraptera powder. The average weight (120.93 ± 67.20), weight gain (113.93 ± 67.20), specific growth rate (3.64 ± 0.79% g/d) and total lengths and standard (26.43 ± 1.9 and 23.66 ± 1.76) the highest were recorded with the T0+ treatment (imported feed). The highest conditioning factor K (2.14 ± 0.15) was recorded with the treatment supplemented with 0.4% T. tetraptera. The lowest conversion ratio (1.28) was recorded with the treatment fed with imported blue crown food (T0+). Furthermore, the lowest production cost was recorded with the treatment supplemented with 0.4% T. tetraptera. It appears from this study that the juveniles of C. gariepinus better value the feed substituted with 0.4% of the powder of fou

关键词： Tetrapleura tetraptera Local Feed Zootechnical Performance Juvenile of Clarias gariepinus

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可降解秸秆基地膜增韧改性及对水稻生长的影响

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林产化学与工业 2024年

作者：孙恩惠陈玲范肖东彭鵾 Gueguim kana Evariste Bosco 翟胜丞江苏省农业科学院农业资源与环境研究所农业农村部盐碱土改良与利用(滨海盐碱地)重点实验室江苏省有机固体废弃物资源化协同创新中心江苏大学农业工程学院夸祖鲁-纳塔尔大学农业工程与科学学院南京林业大学材料科学与工程学院

以氯化胆碱/尿素/微生物联合预处理秸秆纤维为原料，依次通过填充不同添加量的杨木纤维，调控湿强剂组合种类以及利用自主研发的纳米木质素聚合物作表面涂层，制备改性秸秆纤维基地膜，分析改性对可降解秸秆纤维基地膜力学性能、韧性、... 详细信息

以氯化胆碱/尿素/微生物联合预处理秸秆纤维为原料，依次通过填充不同添加量的杨木纤维，调控湿强剂组合种类以及利用自主研发的纳米木质素聚合物作表面涂层，制备改性秸秆纤维基地膜，分析改性对可降解秸秆纤维基地膜力学性能、韧性、疏水性、降解性及水稻生长等的影响。研究结果表明：杨木纤维的填充可有效降低细小秸秆纤维流失率；优选杨木纤维与秸秆纤维质量占比4:6，硫酸铝添加量1%、阳离子分散松香胶（CDR）1.5%，纳米木质素聚合物表层涂布量2～2.5g/m2时，获得的改性秸秆纤维基地膜（MSFM）抗张指数为30.33N·m/g、湿抗张指数9.23N·m/g、撕裂指数5.16mN·m2/g、耐破指数2.36kPa·m2/g，应变由0.48%提高到1.13%，增幅达135.42%，且表现出优异的疏水性和湿稳定性。地膜降解试验结果表明：第9周时MSFM 失重率达62%，同时盆栽试验期杂草抑制率达81.20%。且具有良好的土壤保温及水稻促生作用。生物降解秸秆纤维地膜能够从源头减少污染物和化石资源投入，在农田土壤覆盖应用领域前景广阔。

关键词：秸秆纤维可降解地膜增韧改性力学性能杂草防控增温促生

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Self-management in patients with diabetic foot ulcer:a concept analysis

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Frontiers of Nursing 2024年第3期11卷 267-274页

作者： Hui-Ren Zhuang Yong-Mei You Qin Liu Hai-Ping Yu Minerva B.De ala Shanghai East Hospital Nursing DepartmentShanghai 200123China Health School Attached to Shanghai University of Medicine&Health Sciences Shanghai 200237China Philippine Women’s University Manila 1004Philippines

Objective:This paper presents an analysis of the concept of patient ***:The present study conducted searches on various databases,including Wanfang,Sinomed,CNKI,Pub Med,Cochrane Library,Embase,Web of Science,and *** paper followed the Walker and Avant concept-analysis ***:Initially,899 pieces of literature were identified through the search process,and after screening,41 of them were ultimately included in the *** identified attributes of the concept included(1)capability,(2)decision making,and(3)*** antecedents were shaped by factors such as illness perception,self-efficacy,and family and *** consequences included(1)physiological effects,(2)psychological effects,and(3)social ***:The concept analysis of self-management in patients with diabetic foot ulcers(DFUs)not only aids in clinical practice and suppor ts interventions,but also contributes to the development of self-management *** common goal of clinical medical staff is to assist DFU patients in improving cognitive ability,making correct self-management decisions,and enhancing self-management behavior.

关键词： conception conceptual analysis DFU diabetic foot ulcer self-management

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基于变革型领导力理论构建护士长领导力培训指标体系的研究

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护理管理杂志 2024年第3期24卷 257-261,271页

作者：亓琴沈庆荣马雪花郝文利 Minerva BDe ala 王甜泰安市中心医院护理部 271000 泰安市中心医院急诊监护室 271000 泰安市中心医院普通妇科 271000 泰安市中心医院胃肠外科 271000 菲律宾女子大学护理学院马尼拉市250030

目的基于变革型领导力理论构建护士长领导力培训指标体系,为提高护士长变革型领导力提供培训参考。方法基于变革型领导力理论,结合半结构式访谈结果及文献分析,拟订护士长变革型领导力培训课程初稿,对山东省16名护理管理、教学管理专家... 详细信息

目的基于变革型领导力理论构建护士长领导力培训指标体系,为提高护士长变革型领导力提供培训参考。方法基于变革型领导力理论,结合半结构式访谈结果及文献分析,拟订护士长变革型领导力培训课程初稿,对山东省16名护理管理、教学管理专家进行两轮函询,修订后形成护士长领导力培训指标体系。结果两轮问卷有效回收率均为100%,专家权威系数分别为0.853、0.891,肯德尔和谐系数分别为0.135、0.364;第2轮函询各条目的变异系数为0.000~0.156。最终确定的培训指标体系包含4个一级指标、13个二级指标和45个三级指标。结论护士长变革型领导力培训指标体系构建过程科学、可靠,内容全面,培训目标明确,能够满足护士长对变革型领导力的培训需求,可促进变革型领导力的发展。

关键词：变革型领导力理论领导力教学培训指标体系

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