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American Journal of Operations Research 2024年第4期14卷 137-150页

作者： Mohamed mostafa Mohamed Abdulaziz Saleh Alraddadi AppSoft Co. Alexandria Egypt Department of Networks and Information System College of Computer Science and Engineering Taibah University Yanbu Saudi Arabia

Industry 4.0, or the Fourth Industrial Revolution, is based on digitized the manufacturing process and makes use of all digital tools so its combination of various digital technologies computers, ERP software, IoT, machine learning and AI techniques, Manufacturing Execution Systems (MES), and big data analytics to create a new, fully digitized manufacturing system. The Critical Success Factors (CSFs) of MES adoption are both a quantitative and qualitative measurement. We use the case of ready-made garments to improve each of the three Overall Equipment Efficiency (OEE) factors: Availability, Performance, and Quality. In this study, we adopt real-time management of production activities on the shop floor from order receipt to finished products, then measure the improvement.

关键词： Industry 4.0 ERP MES IOT

Assessing the pomfret stock for setting catch limits in the northern Bay of Bengal,Bangladesh

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Aquaculture and Fisheries 2024年第2期9卷 324-335页

作者： Mohammed Shahidul Alam Qun Liu Md mostafa Monwar Md Enamul Hoque Suman Barua Md Leion Hassan Abdullah Munzer College of Fisheries Ocean University of ChinaQingdao266003China Department of Fisheries University of ChittagongChattogram4331Bangladesh Institute of Marine Sciences University of ChittagongChattogram4331Bangladesh Department of Oceanography University of ChittagongChattogram4331Bangladesh Department of Fisheries Ministry of Fisheries and LivestockDhaka1215Bangladesh

Pampus argenteus and Pampus chinensis form the high-value demersal Pomfret fishery of ***,due to a monotonic decline in catches over the last five years,it is essential to explore the current stock status concerning the removal rate to ensure the sustainability of this ***,given the reliability and minimal data requirements,this study employed an extended Bayesian State-Space Surplus Production Model,JABBA(Just Another Bayesian Biomass Assessment),to assess the stock *** results revealed that the stock biomass of the Pomfret fishery in the final year of the time series is significantly lower than BMSY,the biomass required to produce ***,this study recommends a yearly catch limit(TAC)of 10,000 metric tons to prevent further depletion of the stock ***,to avoid growth overfishing by allowing all immature fishes to reproduce at least once before being caught,this study also calculated the optimum length(Lopt)for catch for both species at which biologically maximum yield and revenue can be *** estimated Lopt is 25 cm for *** and 30 cm for ***,and not to capture fishes with lengths lower than these limits,this study further calculated the minimum mesh size limits for gill and set bag nets is 7.5 *** the mesh size regulation was estimated using length-based reference points derived from an empirical equation,this regulation can be used as an associate reference point when TAC is applied to assure the sustainability of this fishery.

关键词： Pomfret fishery Stock assessment JABBA TAC Lower length limits for catches Mesh size regulation

Evaluating the influence of a structured nursing protocol on targeted outcomes in rheumatoid arthritis patients

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Journal of Integrative Nursing 2024年第1期6卷 22-28页

作者： Mohammed Elsayed ZAKY Shimaa Magdi FARGHALY Osama Mohamed Elsayed RAMADAN Rehab M.ABDELKADER mostafa SHABAN Department of Medical Surgical Nursing Faculty of Nursing Cairo UniversityCairoEgypt Department of Medical Surgical Nursing College of NursingJouf UniversitySakakaAljawfSaudi Arabia Faculty of Nursing Cairo University CairoEgypt Department of Geriatric Nursing Faculty of Nursing Cairo UniversityCairoEgypt

Objective:Rheumatoid arthritis(RA)requires comprehensive *** nursing protocols may enhance outcomes,but evidence is *** study evaluated the effect of a structured nursing protocol on RA *** and Methods:In this one-group pre-post study,30 Egyptian RA patients completed assessments before and after a 12-week nursing protocol comprising education,psychosocial support,and self-management *** included clinical evaluation of joint counts,erythrocyte sedimentation rate(ESR),and C-reactive protein(CRP)and patient-reported Arthritis Self-Efficacy Scale(ASES),Health Assessment Questionnaire(HAQ),Visual Analog Scale(VAS)for pain,and Hospital Anxiety and Depression Scale(HADS).Results:The study demonstrated significant improvements in both clinical-and patient-reported *** count decreased from 18.4±4.2 to 14.2±3.8(P<0.001),ESR from 30.1±6.8 mm/h to 25.5±6.8 mm/h(P<0.01),and CRP levels from 15.2±3.6 mg/L to 11.8±2.9 mg/L(P<0.01)***-reported outcomes showed a marked increase in ASES score from 140±25 to 170±30(P<0.001)and reductions in HAQ from 1.6±0.4 to 1.3±0.3(P<0.01),VAS pain score from 7.8±1.7 to 6.2±1.2(P<0.001),and HADS anxiety and depression scores from 11±3 to 8±2(P<0.05)and 10±2 to 7±1(P<0.05),***:A structured nursing protocol significantly improved clinical disease activity,physical functioning,pain,self-efficacy,and emotional well-being in RA patients.A multifaceted nursing intervention appears beneficial for optimizing RA outcomes.

关键词： Nursing care patient education quality of life rheumatoid arthritis self‑management

Enhancing Mild Cognitive Impairment Detection through Efficient Magnetic Resonance Image Analysis

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Computers, Materials & Continua 2024年第8期80卷 2081-2098页

作者： Atif Mehmood Zhonglong Zheng Rizwan Khan Ahmad Al Smadi Farah Shahid Shahid Iqbal Mutasem K.Alsmadi Yazeed Yasin Ghadi Syed Aziz Shah mostafa M.Ibrahim Department of Computer Science and Technology Zhejiang Normal UniversityJinhua321002China Zhejiang Institute of Photoelectronics&Zhejiang Institute for Advanced Light Source Zhejiang Normal UniversityJinhua321004China Department of Data Science and Artificial Intelligence Zarqa UniversityZarqa13100Jordan School of Chemical and Environmental Engineering College of ChemistryChemical Engineering andMaterials ScienceSoochow UniversitySuzhou215123China Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammam32244Saudi Arabia Department of Computer Science Al Ain UniversityAbu Dhabi999041United Arab Emirates Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61519Egypt Healthcare Technology and Innovation Theme Faculty Research Centre for Intelligent HealthcareCoventry UniversityCoventryCV48BWUK

Neuroimaging has emerged over the last few decades as a crucial tool in diagnosing Alzheimer’s disease(AD).Mild cognitive impairment(MCI)is a condition that falls between the spectrum of normal cognitive function and ***,previous studies have mainly used handcrafted features to classify MCI,AD,and normal control(NC)*** paper focuses on using gray matter(GM)scans obtained through magnetic resonance imaging(MRI)for the diagnosis of individuals with MCI,AD,and *** improve classification performance,we developed two transfer learning strategies with data augmentation(i.e.,shear range,rotation,zoom range,channel shift).The first approach is a deep Siamese network(DSN),and the second approach involves using a cross-domain strategy with customized *** performed experiments on the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset to evaluate the performance of our proposed *** experimental results demonstrate superior performance in classifying the three binary classification tasks:NC ***,NC ***,and MCI ***,we achieved a classification accuracy of 97.68%,94.25%,and 92.18%for the three cases,*** study proposes two transfer learning strategies with data augmentation to accurately diagnose MCI,AD,and normal control individuals using GM *** findings provide promising results for future research and clinical applications in the early detection and diagnosis of AD.

关键词： Alzheimer’s disease mild cognitive impairment normal control transfer learning classification augmentation

Mechanism,prevention,and control of mining-induced dynamic disasters in underground metal mines in China:Challenges and solutions

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Journal of Central South University 2024年第8期31卷 2549-2606页

作者： LI Peng CAI Mei-feng MIAO Sheng-jun REN Fen-hua GORJIAN mostafa PENG Chao Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mines University of Science and Technology BeijingBeijing 100083China Department of Earth Ocean and Atmospheric SciencesUniversity of British ColumbiaVancouverBCCanada Deep Mining Laboratory of Shandong Gold Group Co. Ltd.Laizhou 261442China

Metal mineral resources play an indispensable role in the development of the national *** disasters in underground metal mines seriously threaten mining safety,which are major scientific and technological problems to be solved *** this article,the occurrence status and grand challenges of some typical dynamic disasters involving roof falling,spalling,collapse,large deformation,rockburst,surface subsidence,and water inrush in metal mines in China are systematically presented,the characteristics of mining-induced dynamic disasters are analyzed,the examples of dynamic disasters occurring in some metal mines in China are summarized,the occurrence mechanism,monitoring and early warning methods,and prevention and control techniques of these disasters are highlighted,and some new opinions,suggestions,and solutions are proposed ***,some shortcomings in current disaster research are pointed out,and the direction of efforts to improve the prevention and control level of dynamic disasters in China’s metal mines in the future is *** integration of forward-looking key innovative theories and technologies in the abovementioned aspects will greatly enhance the cognitive level of disaster prevention and mitigation in China’s metal mining industry and achieve a significant shift from passive disaster relief to active disaster prevention.

关键词： underground metal mines dynamic disasters mechanism monitoring and early warning prevention and control

The impact of foot reflexology on fatigue and sleep quality in school-aged children undergoing hemodialysis

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Journal of Integrative Nursing 2024年第2期6卷 76-82页

作者： Amal Hashem MOHAMED mostafa SHABAN Huda Hamdy MOHAMMED Randa Mohamed ABOBAKER Salman Hamdan ALSAQRI Rania Abd-Elnaby Mohammed ALLAM Faculty of Nursing Minia UniversityMinyaEgypt College of Nursing Jouf UniversitySakakaSaudi Arabia Faculty of Nursing Cairo UniversityGizaEgypt Northern College of Nursing ARARSaudi Arabia College of Nursing University of HailHailSaudi Arabia

Objective:This study aimed to evaluate the effects of foot reflexology on fatigue and sleep quality in school-aged children receiving ***:A quasi-experimental pretest-posttest design was *** children of ages 6-12 undergoing in-center hemodialysis were *** Pittsburgh Sleep Quality Index(PSQI)and Inventory of Fatigue Symptom(IFS)scales were administered at *** then received 30 min of foot reflexology massage before hemodialysis sessions 3 days per week for 12 *** administration of the sleep and fatigue scales occurred after the intervention ***:Reflexology massage led to significant improvements in sleep quality components,including duration(0%-30%normal sleepers),efficiency(0%-50%>85%),latency(50%-0%>60 min),disturbances,and daytime *** mean PSQI score decreased from 18.2 to 9.7(P<0.05).Fatigue severity substantially decreased,with the mean IFS score improving from 105.7 to 64.1(P<0.05).Conclusion:Foot reflexology is an effective nursing intervention for reducing fatigue and improving sleep quality in children on hemodialysis,warranting integration into routine care.

关键词： Fatigue hemodialysis massage pediatric reflexology sleep

New Antenna Array Beamforming Techniques Based on Hybrid Convolution/Genetic Algorithm for 5G and Beyond Communications

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2749-2767页

作者： Shimaa M.Amer Ashraf A.M.Khalaf Amr H.Hussein Salman A.Alqahtani mostafa H.Dahshan Hossam M.Kassem Electronics and Communications Engineering Department Higher Institute of Engineering and TechnologyKafr ElsheikhEgypt Electronics and Electrical Communications Engineering Department Faculty of EngineeringMinia UniversityMiniaEgypt Electronics and Electrical Communications Engineering Department Faculty of EngineeringTanta UniversityTantaEgypt Electronics and Electrical Communications Engineering Department Faculty of EngineeringHorus University EgyptNew DamiettaEgypt Department of Computer Engineering College of computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia School of Computing Mathematics and EngineeringCharles Sturt UniversityBathurstNSW2795Australia

Side lobe level reduction(SLL)of antenna arrays significantly enhances the signal-to-interference ratio and improves the quality of service(QOS)in recent and future wireless communication systems starting from 5G up to ***,it improves the array gain and directivity,increasing the detection range and angular resolution of radar *** study proposes two highly efficient SLL reduction *** techniques are based on the hybridization between either the single convolution or the double convolution algorithms and the genetic algorithm(GA)to develop the Conv/GA andDConv/GA,*** convolution process determines the element’s excitations while the GA optimizes the element *** M elements linear antenna array(LAA),the convolution of the excitation coefficients vector by itself provides a new vector of excitations of length N=(2M−1).This new vector is divided into three different sets of excitations including the odd excitations,even excitations,and middle excitations of lengths M,M−1,andM,*** the same element spacing as the original LAA is used,it is noticed that the odd and even excitations provide a much lower SLL than that of the LAA but with amuch wider half-power beamwidth(HPBW).While the middle excitations give the same HPBWas the original LAA with a relatively higher *** the increased HPBWof the odd and even excitations,the element spacing is optimized using the ***,the synthesized arrays have the same HPBW as the original LAA with a two-fold reduction in the ***,for extreme SLL reduction,the DConv/GA is *** this technique,the same procedure of the aforementioned Conv/GA technique is performed on the resultant even and odd excitation *** provides a relatively wider HPBWthan the original LAA with about quad-fold reduction in the SLL.

关键词： Array synthesis convolution process genetic algorithm(GA) half power beamwidth(HPBW) linear antenna array(LAA) side lobe level(SLL) quality of service(QOS)

Solar thermal simulation and applications in greenhouse

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Information Processing in Agriculture 2018年第1期5卷 83-113页

作者： Morteza Taki abbas Rohani mostafa Rahmati-Joneidabad Department of Agricultural Machinery and Mechanization Ramin Agriculture and Natural Resources University of KhuzestanMollasaniIran Department of Biosystems Engineering Faculty of AgricultureFerdowsi University of MashhadIran Department of Horticultural Science Faculty of AgricultureRamin Agriculture and Natural Resources University of KhuzestanMollasaniIran

In this study,a comprehensive review focusing on key strategies of energy saving technologies based on simulation of heat and mass transfer and also artificial intelligent for climate controlling is *** the brief and concise assessment of existing greenhouse systems in terms of their role in total energy consumption;effective shape and structure,energy-efficient and new technologies are analyzed in detail for potential utilization in greenhouses for notable reductions in energy consumption and also go toward the *** technologies considered within the scope of this research are mainly renewable and sustainable based solutions such as photovoltaic(PV)modules,solar thermal(T)collectors,hybrid PV/T collectors and systems,phase change material(PCM)and underground based heat storage techniques,energy-efficient heat pumps,alternative facade materials for better thermal insulation and power *** findings from the research clearly reveal that up to 70%energy saving can be achieved through appropriate retrofit of conventional *** of solar greenhouses in Europe is more popular than *** some countries in Asia such as Iran,it is very restrict to invest on renewable projects because of cheap fossil *** it is recommended beside of investments by private investors,the Iranian government should also invest in the extension of solar energy in greenhouse by setting up a specialized agency or contracting *** should target the modeling and design the best shape of solar greenhouse for all agricultural areas to receive the maximum solar radiation and decrease the need of fossil fuels.

关键词： Agricultural greenhouse Sustainability Heat and mass transfer Modeling and simulation

Hypo-Driver: A Multiview Driver Fatigue and Distraction Level Detection System

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Computers, Materials & Continua 2022年第4期71卷 1999-2017页

作者： Qaisar abbas mostafa EAIbrahim Shakir Khan Abdul Rauf Baig College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityQalubiaBenha13518Egypt

Traffic accidents are caused by driver fatigue or distraction in many *** prevent accidents,several low-cost hypovigilance(hypo-V)systems were developed in the past based on a multimodal-hybrid(physiological and behavioral)feature *** in this paper,real-time driver inattention and fatigue(Hypo-Driver)detection system is proposed through multi-view cameras and biosignal sensors to extract hybrid *** considered features are derived from non-intrusive sensors that are related to the changes in driving behavior and visual facial *** get enhanced visual facial features in uncontrolled environment,three cameras are deployed on multiview points(0◦,45◦,and 90◦)of the *** develop a Hypo-Driver system,the physiological signals(electroencephalography(EEG),electrocardiography(ECG),electro-myography(sEMG),and electrooculography(EOG))and behavioral information(PERCLOS70-80-90%,mouth aspect ratio(MAR),eye aspect ratio(EAR),blinking frequency(BF),head-titled ratio(HT-R))are collected and pre-processed,then followed by feature selection and fusion *** driver behaviors are classified into five stages such as normal,fatigue,visual inattention,cognitive inattention,and *** improved hypo-Driver system utilized trained behavioral features by a convolutional neural network(CNNs),recurrent neural network and long short-term memory(RNN-LSTM)model is used to extract physiological *** fusion of these features,the Hypo-Driver system is classified hypo-V into five stages based on trained layers and dropout-layer in the deep-residual neural network(DRNN)*** test the performance of a hypo-Driver system,data from 20 drivers are *** results of Hypo-Driver compared to state-of-theart methods are *** to the state-of-the-art Hypo-V system,on average,the Hypo-Driver system achieved a detection accuracy(AC)of 96.5%.The obtained results indicate that the Hypo-Driver system based on multimodal and multivie

关键词： Internet of things(IoT) intelligent transportation sensors multiview points transfer learning convolutional neural network recurrent neural network residual neural network multimodal features

Transfer Learning-based Computer-aided Diagnosis System for Predicting Grades of Diabetic Retinopathy

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Computers, Materials & Continua 2022年第6期71卷 4573-4590页

作者： Qaisar abbas mostafa E.A.Ibrahim Abdul Rauf Baig College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityQalubiaBenha13518Egypt

Diabetic retinopathy(DR)diagnosis through digital fundus images requires clinical experts to recognize the presence and importance of many intricate *** task is very difficult for ophthalmologists and ***,many computer-aided diagnosis(CAD)systems were developed to automate this screening process *** this paper,aCAD-DR system is proposed based on preprocessing and a pre-train transfer learningbased convolutional neural network(PCNN)to recognize the five stages of DR through retinal fundus *** develop this CAD-DR system,a preprocessing step is performed in a perceptual-oriented color space to enhance the DR-related lesions and then a standard pre-train PCNN model is improved to get high classification *** architecture of the PCNN model is based on three main ***,the training process of the proposed PCNN is accomplished by using the expected gradient length(EGL)to decrease the image labeling efforts during the training of the CNN ***,themost informative patches and images were automatically selected using a few pieces of training labeled ***,the PCNN method generated useful masks for prognostication and identified regions of ***,the DR-related lesions involved in the classification task such as micro-aneurysms,hemorrhages,and exudates were detected and then used for recognition of *** PCNN model is pre-trained using a high-end graphical processor unit(GPU)on the publicly available Kaggle *** obtained results demonstrate that the CAD-DR system outperforms compared to other state-of-the-art in terms of sensitivity(SE),specificity(SP),and accuracy(ACC).On the test set of 30,000 images,the CAD-DR system achieved an average SE of 93.20%,SP of 96.10%,and ACC of 98%.This result indicates that the proposed CAD-DR system is appropriate for the screening of the severity-level of DR.

关键词： Diabetic Retinopathy retinal fundus images computer-aided diagnosis system deep learning transfer learning convolutional neural network