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Predicting Energy Consumption Using stacked LsTM snapshot Ensemble

Big Data Mining and Analytics 2024年第2期7卷 247-270页

作者： Mona Ahamd Alghamdi Abdullah s.A.L-Malaise AL-Ghamdi mahmoud Ragab Information systems Department Faculty of Computing and Information Technology(FCIT)King Abdulaziz University(KAU)Jeddah 21589Kingdom of Saudi Arabia Information systems Department FCITKAUJeddah 21589Kingdom of Saudi Arabiaand also with School of EngineeringComputing and DesignDar Al-Hekma UniversityJeddah 22246Kingdom of Saudi Arabia Information Technology Department FCITKAUJeddah 21589Kingdom of Saudi Arabiaand also with Mathematics DepartmentFaculty of ScienceAl-Azhar UniversityNaser City 11884Egypt

The ability to make accurate energy predictions while considering all related energy factors allows production plants,regulatory bodies,and governments to meet energy demand and assess the effects of energy-saving *** energy consumption falls within normal parameters,it will be possible to use the developed model to predict energy consumption and develop improvements and mitigating measures for energy *** objective of this model is to accurately predict energy consumption without data limitations and provide results that are easily *** proposed model is an implementation of the stacked Long short-Term Memory(LsTM)snapshot ensemble combined with the Fast Fourier Transform(FFT)and *** and Berard’s Individual Household Electric-Power Consumption(IHEPC)dataset incorporated with weather data are used to analyse the model’s accuracy with predicting energy *** model is trained,and the results measured using Root Mean square Error(RMsE),Mean Absolute Error(MAE),Mean Absolute Percentage Error(MAPE),and coefficient of determination(R^(2))metrics are 0.020,0.013,0.017,and 0.999,*** stacked LsTM snapshot ensemble performs better than the compared models based on prediction accuracy and minimized *** results of this study show that prediction accuracy is high,and the model’s stability is high as *** model shows that high levels of accuracy prove accurate predictive ability,and together with high levels of stability,the model has good interpretability,which is not typically accounted for in ***,this study shows that it can be inferred.

关键词： energy consumption prediction Artificial Intelligence(AI) Deep Learning(DL) snapshot ensemble

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Mitigating diabetes-related complications:Empowering metformin with cholecalciferol and taurine supplementation in type 2 diabetic rats

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World Journal of Diabetes 2024年第8期15卷 1778-1792页

作者： Mai s Attia Fadwa Ayman Mohamed s Attia Galal Yahya Mansour H Zahra magdi Mohamed Ibrahim Khalil Abdel Aziz A Diab Department of Zoology Faculty of ScienceZagazig 44519Egypt Department of Pharmaceutics Faculty of PharmacyZagazig 44519Egypt Department of Microbiology and Immunology Faculty of PharmacyZagazig UniversityZagazig 44519Egypt Department of Biochemistry Faculty of MedicineZagazig 44519Egypt

BACKGROUND Type 2 diabetes is one of the most prevalent chronic diseases worldwide,significantly impacting patients'quality of *** treatment options like metformin(MET)effectively counteract hyperglycemia but fail to alleviate diabetes-associated complications such as retinopathy,neuropathy,nephropathy,hepatopathy,and cardiovascular *** To propose the supplementation of cholecalciferol(CHO)and taurine(TAU)to enhance MET efficacy in controlling diabetes while minimizing the risk of associated *** The study involved sixty rats,including ten non-diabetic control rats and fifty experimental rats with type 2 diabetes induced by *** experimental rats were further subdivided into positive control and treatment *** four treatment groups were randomly allocated to a single MET treatment or MET combined with supplements either CHO,TAU,or *** Diabetic rats exhibited elevated levels of glucose,insulin,Homeostasis Model Assessment of Insulin Resistance(HOMA-IR),glycated hemoglobin percentage,lipid markers,aspartate aminotransferase,and malondialdehyde,along with reduced levels of antioxidant enzymes(catalase and superoxide dismutase).The administration of CHO and TAU supplements alongside MET in diabetic rats led to a noticeable recovery of islet *** antioxidative,anti-inflammatory,and anti-apoptotic properties of the proposed combination therapy significantly ameliorated the aforementioned *** The supplementation of CHO and TAU with MET showed the potential to significantly improve metabolic parameters and protect against diabetic complications through its antioxidative,anti-inflammatory,and antiapoptotic effects.

关键词： Diabetes complications Metformin Cholecalciferol Taurine Glycated hemoglobin% Antioxidant

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Insulin therapy in type 2 diabetes: Insights into clinical efficacy, patient-reported outcomes, and adherence challenges

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World Journal of Diabetes 2024年第5期15卷 828-852页

作者： mahmoud Emad-Eldin Gehan F Balata Eman A Elshorbagy Mona s Hamed Mohamed s Attia Department of Pharmacy Practice Faculty of PharmacyZagazig UniversityZagazig HFQM+872Al-Sharqia GovernorateEgypt Department of Pharmacy Practice Faculty of PharmacyHeliopolis UniversityCairo 44519Egypt Department of Pharmaceutics Faculty of PharmacyZagazig UniversityZagazig 44519Al-Sharqia GovernorateEgypt Department of Internal Medicine Faculty of MedicineZagazig UniversityZagazig 44519Al-Sharqia GovernorateEgypt Department of Community at Faculty of Medicine Zagazig UniversityZagazig 44519Al-Sharqia GovernorateEgypt

Insulin therapy plays a crucial role in the management of type 2 diabetes as the disease *** the past century,insulin formulations have undergone significant modifications and bioengineering,resulting in a diverse range of available insulin *** products show distinct pharmacokinetic and pharmacodynamic ***,various insulin regimens have em-erged for the management of type 2 diabetes,including premixed formulations and combinations of basal and bolus *** utilization of different insulin regimens yields disparate clinical outcomes,adverse events,and,notably,patient-reported outcomes(PROs).PROs provide valuable insights from the patient’s perspective,serving as a valuable mine of information for enhancing healthcare and informing clinical *** to insulin therapy,a critical patient-reported outcome,significantly affects clinical outcomes and is influenced by multiple *** review provides insights into the clinical effectiveness of various insulin preparations,PROs,and factors impacting insulin therapy adherence,with the aim of enhancing healthcare practices and informing clinical decisions for individuals with type 2 diabetes.

关键词： Adherence Diabetes Insulin Patient-reported outcomes Pharmacokinetic Pharmacodynamic

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Electro-optic tuning in composite silicon photonics based on ferroionic 2D materials

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Light(science & Applications) 2024年第5期13卷 852-864页

作者： Ghada Dushaq solomon serunjogi srinivasa R.Tamalampudi mahmoud Rasras Department of Electrical and Computer Engineering New York University Abu DhabiP.O.Box 129188Abu DhabiUnited Arab Emirates NYU Tandon school of Engineering New York UniversityNew YorkNYUSA

Tunable optical materials are indispensable elements in modern optoelectronics,especially in integrated photonics circuits where precise control over the effective refractive index is essential for diverse ***-dimensional materials like transition metal dichalcogenides(TMDs)and graphene exhibit remarkable optical responses to external ***,achieving distinctive modulation across short-wave infrared(sWIR)regions while enabling precise phase control at low signal loss within a compact footprint remains an ongoing *** this work,we unveil the robust electro-refractive response of multilayer ferroionic two-dimensional CuCrP2s6(CCPs)in the near-infrared wavelength *** integrating CCPs into silicon photonics(siPh)microring resonators(MRR),we enhance lightmatter interaction and measurement sensitivity to minute phase and absorption *** show that electrically driven Cu ions can tune the effective refractive index on the order of 2.8×10−3 RIU(refractive index unit)while preserving extinction ratios and resonance ***,these devices exhibit low optical losses and excellent modulation efficiency of 0.25 *** with a consistent blue shift in the resonance wavelengths among all devices for either polarity of the applied *** results outperform earlier findings on phase shifters based on ***,our study demonstrates distinct variations in electro-optic tuning sensitivity when comparing transverse electric(TE)and transverse magnetic(TM)modes,revealing a polarization-dependent response that paves the way for diverse applications in light *** combined optoelectronic and ionotronic capabilities of two-terminal CCPs devices present extensive opportunities across several *** potential applications range from phased arrays and optical switching to their use in environmental sensing and metrology,optical imaging systems,and neuromorphic systems in light-sensitive artificial synapses.

关键词： tuning polarization refractive

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Nondestructive and active interrogation system for special nuclear material:proof of principle and initial results

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Nuclear science and Techniques 2024年第5期35卷 216-225页

作者： mahmoud Bakr Kai Masuda Yoshiyuki Takahashi Tsuyoshi Misawa Norio Yamakawa Tomas scott Institute of Advanced Energy Kyoto UniversityGokashoUjiKyoto 611‑0011Japan school of Physics University of BristolBs81TL Tyndall AvenueBristolUK Physics Department Faculty of ScienceAssiut UniversityAssiut 71516Egypt Research Reactor Institute Kyoto University2 Asashiro‑NishiKumatoriOsaka 590‑0494Japan Pony Industry Co.Ltd. 2‑3‑6 Kitakyuhoji‑MachiChuo‑KuOsaka 541‑0057Japan Astral Neutronics LTD Unit H5HallenBristol BS107SBUK

Herein,we employ the threshold energy neutron analysis(TENA)technique to introduce the world's first active interrogation system to detect special nuclear materials(sNMs),including U-235 and *** system utilizes a DD neutron generator based on inertial electrostatic confinement(IEC)to interrogate suspicious *** detect secondary neutrons produced during fission reactions induced in sNMs,a tensioned metastable fluid detector(TMFD)is *** current status of the system's development is reported in this paper,accompanied by the results from experiments conducted to detect 10 g of highly enriched uranium(HEU).Notably,the experimental findings demonstrate a distinct difference in the count rates of measurements with and without *** difference in count rates surpasses two times the standard deviation,indicating a confidence level of more than 96% for identifying the presence of *** paper presents and extensively discusses the proof-of-principle experimental results,along with the system's planned trajectory.

关键词： special nuclear materials Uranium detection Inertial electrostatic confinement fusion TENA HEU CTMFD

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Electrospun Aloe Vera Extract Loaded Polycaprolactone scaffold for Biomedical Applications:A Promising Candidate for Corneal stromal Regeneration

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Journal of Bionic Engineering 2024年第4期21卷 1949-1959页

作者： Amin Orash mahmoud salehi Mohammad Rafienia Narsimha Mamidi saeed Heidari Keshel Alireza Baradaran-Rafii Department of Chemistry and Nanotechnology School of Engineering and ScienceTecnologico de MonterreyMonterreyNuevo Leon64849Mexico Biosensor Research Center Isfahan University of Medical SciencesIsfahan81746-73461Iran Wisconsin Center for NanoBiosystems School of PharmacyUniversity of Wisconsin-MadisonMadisonWisconsin53705USA Medical Nanotechnology Research Center Shahid Beheshti University of Medical SciencesTehran19857-17443Iran Department of Ophthalmology Ophthalmic Research CenterLabbafinejad Medical CenterShahid Beheshti University of Medical SciencesTehran19395-4631Iran Department of Ophthalmology Morsani College of MedicineUniversity of South FloridaTampaFL33612USA Department of Tissue Engineering and Applied Cell science School of Advanced Technologies in MedicineShahid Beheshti University of Medical SciencesTehran19857-17443Iran

Corneal diseases,the second leading cause of global vision loss affecting over 10.5 million people,underscores the unmet demand for corneal tissue *** the scarcity of fresh donor corneas and the associated risks of immune rejection,corneal tissue engineering becomes *** nanofibrous scaffolds that mimic the natural corneal structure is crucial for creating transparent and mechanically robust corneal equivalents in tissue ***,Aloe Vera Extract(AVE)/Polycaprolactone(PCL)nanofibrous scaffolds were primed using *** electrospun AVE/PCL fibers exhibit a smooth,bead-free morphology with a mean diameter of approximately 340±95 nm and appropriate light *** measurements reveal Young’s modulus and ultimate tensile strength values of around 3.34 MPa and 4.58 MPa,respectively,within the range of stromal *** addition,cell viability of AVE/PCL fibers was measured against Human stromal Keratocyte Cells(HsKCs),and improved cell viability was *** cell-fiber interactions were investigated using scanning electron *** conclusion,the incorporation of Aloe Vera Extract enhances the mechanical,optical,hydrophilic,and biological properties of PCL fibers,positioning PCL/AVE fiber scaffolds as promising candidates for corneal stromal regeneration.

关键词： Corneal stromal regeneration Aloe vera extract Polycaprolactone Electrospinning

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Applications of artificial intelligence in geothermal resource exploration: A review

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Deep Underground science and Engineering 2024年第3期3卷 269-285页

作者： mahmoud AlGaiar Mamdud Hossain Andrei Petrovski Aref Lashin Nadimul Faisal school of Engineering Robert Gordon UniversityAberdeenUK National subsea Centre AberdeenUK Petroleum and Natural Gas Engineering Department College of EngineeringKing Saud UniversityRiyadhSaudi Arabia

Artificial intelligence (AI) has become increasingly important in geothermal exploration,significantly improving the efficiency of resource *** review examines current AI applications,focusing on the algorithms used,the challenges addressed,and the opportunities *** addition,the review highlights the growth of machine learning applications in geothermal exploration over the past decade,demonstrating how AI has improved the analysis of subsurface data to identify potential *** techniques such as neural networks,support vector machines,and decision trees are used to estimate subsurface temperatures,predict rock and fluid properties,and identify optimal drilling *** particular,neural networks are the most widely used technique,further contributing to improved exploration ***,the widespread adoption of AI in geothermal exploration is hindered by challenges,such as data accessibility,data quality,and the need for tailored data science training for industry ***,the review emphasizes the importance of data engineering methodologies,data scaling,and standardization to enable the development of accurate and generalizable AI models for geothermal *** is concluded that the integration of AI into geothermal exploration holds great promise for accelerating the development of geothermal energy *** effectively addressing key challenges and leveraging AI technologies,the geothermal industry can unlock cost‐effective and sustainable power generation opportunities.

关键词： artificial intelligence geothermal energy geothermal exploration geothermometry hidden/blind geothermal resources machine learning

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The nature and movement of thrusts in the eastern Iranian orogen:sechengi Area on the northern border of Lut and sistan

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Journal of Mountain science 2024年第9期21卷 3157-3171页

作者： shahriar KEsHTGAR mahmoud Reza HEYHAT sasan BAGHERI Ebrahim GHOLAMI seyed Naser RAIsOssADAT Department of Geology Faculty of ScienceUniversity of BirjandBirjand ***Iran Department of Geology Faculty of ScienceUniversity of Sistan and BaluchestanZahedan 98167-45845Iran

The eastern Iranian range,known as the sistan suture zone in the past,has recently been identified as the sistan *** Paleogene orogeny is located between the Lut and Afghan *** structural analysis shows that most of the thrusts dip towards the NW so that the Permo-Triassic sediments and Jurassic micro-diorites of the Lut Block overthrusted over the younger *** studies show that the tectonic vergence was from the NW to the sE of the sechengi area in the NW part of sistan *** recognized three deformation phases in eastern *** first N-s deformation event(D1)resulted in the formation of tight E-W folds(F1)and associated cleavages(s1).The second E-W deformation event(D2),which occurred in the late Paleogene led to the bending of older structures,including the axial plane of the first-generation folds giving them a new northwest direction(F2).Additionally,the ramp of the first-phase thrusts(striking E-W)was reactivated,acquiring a new NNW orientation and exhibiting ssE tectonic *** third deformation event(D3)resulted in the formation of NNE and WNW conjugate faults in eastern *** consecutive deformation events perpendicular to each other are inconsistent with the models of simple linear orogen presented for eastern Iran(*** of eastern Iran continental crust and subsequence linear collision)and seem more consistent with the buckling orogeny(Orocline).

关键词： Thrust Tectonic vergence Orocline Buckling sechengi Eastern Iranian ranges.

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Enhancing Canola Yield and Photosynthesis under Water stress with Hydrogel Polymers

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Phyton-International Journal of Experimental Botany 2024年第7期93卷 1623-1645页

作者： Elham A.Badr Gehan sh.Bakhoum Mervat sh.sadak Ibrahim Al-Ashkar Mohammad sohidul Islam Ayman El sabagh magdi T.Abdelhamid Field Crops Research Department National Research CentreCairo12622Egypt Botany Department National Research CentreCairo12622Egypt Plant Production Department College of Food and Agriculture SciencesKing Saud UniversityRiyadh12271Saudi Arabia Department of Agronomy Hajee Mohammad Danesh Science and Technology UniversityDinajpur5200Bangladesh Department of Field Crops Faculty of AgricultureSiirt UniversitySiirt56100Turkey Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafrelsheikh33516Egypt Department of Research Centers Montana State UniversityBozemanMT 59717USA

While Egypt’s canola production per unit area has recently grown,productivity remains low,necessitating increased *** are water-absorbent polymer compounds that can optimize irrigation schedules by increasing the soil’s ability to retain ***,twoﬁeld experiments were conducted to examine hydrogel application to sandy soil on canola growth,biochemical aspects,yield,yield traits,and nutritional quality of yielded seeds grown under water deﬁcit stress *** experiments were conducted by arranging a split-plot layout in a randomized complete block design(RCBD)with three times replications of each *** water stress at 75%or 50%of crop evapotranspiration(ETc)lowered chlorophyll a,chlorophyll b,caro-tenoids,and total pigments content,indole-3-acetic acid,plant development,seed yield,and oil and total carbo-hydrates of seed yield,hydrogel treatment enhanced all of the traits mentioned ***,hydrogel enhanced to gather compatible solutes(proline,amino acids,total soluble sugars),phenolics content in leaves,seed protein,and crop water productivity,which increased while the plants were under water *** results revealed that the full irrigation(100%ETc)along with hydrogel compared to water-stressed(50%ETc)led to enhanced seed yield(kg ha^(-1)),Oil(%),and Total carbohydrates(%)of rapeseed by 57.1%,11.1%and 15.7%,***,under water-stressed plots with hydrogel exhibited enhancement by 10.0%,3.2%and 5.1%in seed yield(kg ha^(-1)),oil(%),and total carbohydrates(%)of rapeseed by 57.1%,11.1%and 15.7%,respec-tively compared to *** a result,the use of hydrogel polymer will be a viable and practical solution for increasing agricultural output under water deﬁcit stress situations.

关键词： Hydrogel oil osmolytes rapeseed yield water stress

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数据缺陷条件下支持污水处理厂智能管理的数据增强方法

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环境工程 2024年第6期42卷 153-159页

作者：王建辉廖万山李慧敏冯东郭智威 Mohamed s.mahmoud 张冰高旭申渝陈猷鹏重庆工商大学智能制造服务国际科技合作基地重庆400067 重庆南向泰斯环保技术研究院有限公司重庆400069 重庆中法环保研发中心有限公司重庆400010 埃及住房和建筑国家研究中心卫生与环境工程研究所埃及开罗1770 重庆大学环境与生态学院重庆400045

污水处理厂的智能化管理需要高质量、丰富的数据支持。然而,在当前污水处理厂的运维管理中,过度曝气、过量投药及监测问题等导致水厂运维数据的数量和质量存在缺陷,基于此类缺陷数据支持的各种数据驱动模型性能不高。如何提高数据质量... 详细信息

污水处理厂的智能化管理需要高质量、丰富的数据支持。然而,在当前污水处理厂的运维管理中,过度曝气、过量投药及监测问题等导致水厂运维数据的数量和质量存在缺陷,基于此类缺陷数据支持的各种数据驱动模型性能不高。如何提高数据质量和数量对于各类人工智能模型的研究和应用非常关键。提出了一种基于生成对抗网络的污水厂数据增强方法(WP-GAN),以应对数据缺陷问题,并采用一种经典的污水处理厂人工神经网络模型(W-ANN)对所提出的方法进行验证。研究采用的数据集来自某大型城市污水处理厂的厌氧-缺氧-好氧(A2O)工艺,通过数据增强处理将实测数据扩增5倍,以增强前后的数据样本训练W-ANN模型后,模型性能得到显著提升:拟合度从20%提高到65%,最大模拟精度从67.85%提高到75.55%。该方法是一种应对数据缺陷的通用数据增强方法,可为污水厂智能管理的各种数据驱动模型提供更好的数据支持。

关键词：数据增强污水处理生成对抗网络智能管理数据驱动模型

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