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A critical review of the integration of renewable energy sources with various technologies

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Protection and Control of modern Power Systems 2021年第1期6卷 37-54页

作者： Erdiwansyah mahidin H.Husin Nasaruddin m.zaki muhibbuddin Doctoral Program School of EngineeringUniversitas Syiah KualaBanda Aceh23111Indonesia Faculty of Engineering Universitas Serambi MekkahBanda Aceh23245Indonesia Department of Chemical Engineering Universitas Syiah KualaBanda Aceh23111Indonesia Department of Electrical and Computer Engineering Universitas Syiah KualaBanda Aceh23111Indonesia Department of mechanical and Industrial Engineering Universitas Syiah KualaBanda Aceh23111Indonesia

Wind power, solar power and water power are technologies that can be used as the main sources of renewable energy so that the target of decarbonisation in the energy sector can be achieved. However, when compared with conventional power plants, they have a significant difference. The share of renewable energy has made a difference and posed various challenges, especially in the power generation system. The reliability of the power system can achieve the decarbonization target but this objective often collides with several challenges and failures, such that they make achievement of the target very vulnerable, Even so, the challenges and technological solutions are still very rarely discussed in the literature. This study carried out specific investigations on various technological solutions and challenges, especially in the power system domain. The results of the review of the solution matrix and the interrelated technological challenges are the most important parts to be developed in the future. Developing a matrix with various renewable technology solutions can help solve RE challenges. The potential of the developed technological solutions is expected to be able to help and prioritize them especially cost-effective energy. In addition, technology solutions that are identified in groups can help reduce certain challenges. The categories developed in this study are used to assist in determining the specific needs and increasing transparency of the renewable energy integration process in the future.

关键词： Integration RE Energy source Technology system energy Power system Variable RE

Biologics in non-infectious uveitis past,present and future

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Annals of Eye Science 2021年第2期6卷 89-99页

作者： Amr m.zaki Eric B.Suhler Casey Eye Institute Oregon Health&Science UniversityPortlandORUSA VA Portland Health Care System PortlandORUSA

Our increase in knowledge of the pathophysiology of non-infectious uveitis(NIU)and other immune-mediated diseases has been mirrored over the last two decades by the expansion of therapeutic options in the realm of immunosuppressive *** among these advances is the emergence of biologics,which offer the promise of targeted therapy and the hope of reduced toxicity when compared to corticosteroids and“standard”*** the biologics,monoclonal antibodies blocking tumor necrosis factor alpha(TNF-α)have been shown to be a very effective therapeutic target for uveitis and many associated systemic inflammatory *** TNF blockers have shown benefit for uveitis,and in 2016,adalimumab became the first biologic and non-corticosteroid immunosuppressive to obtain Food and Drug Administration(FDA)approval in the treatment of *** effective,TNF blockers are not universally so,and safety concerns such as infection and demyelinating disease must be carefully considered and ruled out prior to their use,especially in patients with intermediate uveitis with which multiple sclerosis is a known *** study has identified novel targets for regulation in the treatment of immune-mediated and inflammatory ***,interleukin and Janus kinase inhibitors in addition to antibodies targeting T cell and B cell activation highlight the expanding field of treatment modalities in *** study will be required to better determine the safety and efficacy of biologics in the armamentarium of immunosuppressive treatments for NIU.

关键词： Non-infectious uveitis biologics

Dipper Throated Optimization Algorithm for Unconstrained Function and Feature Selection

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Computers, materials & Continua 2022年第7期72卷 1465-1481页

作者： Ali E.Takieldeen El-Sayed m.El-kenawy mohammed Hadwan Rokaia m.zaki Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science College of Applied SciencesTaiz UniversityTaizYemen Intelligent Analytics Group(IAG) College of ComputerQassim UniversityBuraydahSaudi Arabia Higher Institute of Engineering and Technology KafrelsheikhEgypt Department of Electrical Engineering Shoubra Faculty of EngineeringBenha UniversityEgypt

Dipper throated optimization(DTO)algorithm is a novel with a very efficient metaheuristic inspired by the dipper throated *** has its unique hunting technique by performing rapid bowing *** show the efficiency of the proposed algorithm,DTO is tested and compared to the algorithms of Particle Swarm Optimization(PSO),Whale Optimization Algorithm(WOA),Grey Wolf Optimizer(GWO),and Genetic Algorithm(GA)based on the seven unimodal benchmark ***,ANOVA and Wilcoxon rank-sum tests are performed to confirm the effectiveness of the DTO compared to other optimization ***,to demonstrate the proposed algorithm’s suitability for solving complex realworld issues,DTO is used to solve the feature selection *** strategy of using DTOs as feature selection is evaluated using commonly used data sets from the University of California at Irvine(UCI)*** findings indicate that the DTO outperforms all other algorithms in addressing feature selection issues,demonstrating the proposed algorithm’s capabilities to solve complex real-world situations.

关键词： metaheuristic optimization swarmoptimization feature selection function optimization

Optimized Ensemble Algorithm for Predicting metamaterial Antenna Parameters

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Computers, materials & Continua 2022年第6期71卷 4989-5003页

作者： El-Sayed m.El-kenawy Abdelhameed Ibrahim Seyedali mirjalili Yu-Dong Zhang Shaima Elnazer Rokaia m.zaki Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Centre for Artificial Intelligence Research and Optimization Torrens University AustraliaFortitude ValleyQLD 4006Australia Yonsei Frontier Lab Yonsei UniversitySeoul03722Korea School of Computing and mathematical Sciences University of LeicesterLeicesterLE17RHUK Nile Higher Institute for Engineering and Technology MansouraEgypt Computer and Information Technology College Taif UniversityTaifSaudi Arabia Higher Institute of Engineering and Technology Kafrelsheikh Department of Electrical Engineering Shoubra Faculty of EngineeringBenha UniversityEgypt

metamaterial Antenna is a subclass of antennas that makes use of metamaterial to improve *** antennas can overcome the bandwidth constraint associated with tiny *** learning is receiving a lot of interest in optimizing solutions in a variety of *** learning methods are already a significant component of ongoing research and are anticipated to play a critical role in today’s *** accuracy of the forecast is mostly determined by the model *** purpose of this article is to provide an optimal ensemble model for predicting the bandwidth and gain of the metamaterial *** Vector machines(SVm),Random Forest,K-Neighbors Regressor,and Decision Tree Regressor were utilized as the basic *** Adaptive Dynamic Polar Rose Guided Whale Optimization method,named AD-PRS-Guided WOA,was used to pick the optimal features from the *** suggested model is compared to models based on five variables and to the average ensemble *** findings indicate that the presented model using Random Forest results in a Root mean Squared Error(RmSE)of(0.0102)for bandwidth and RmSE of(0.0891)for *** is superior to other models and can accurately predict antenna bandwidth and gain.

关键词： metamaterial antenna machine learning ensemble model feature selection guided whale optimization support vector machines

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负载对电力变压器涌流的影响

变压器 1981年第10期 26-31页

作者： F.I.Ahmed m.zaki 邓隐北

本文研究了电力变压器的激磁涌流现象。当变压器合闸、排除外部故障以及并联运行时,这一电流可能流过变压器的一次线圈。

关键词：激磁涌流电力变压器变压器铁心磁芯

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用DHmC和CTAB分光光度法测定钼

中国钼业 1992年第4期16卷 36-41页

作者： m.Tarek m.zaki 许孙曲

研究了在十六炕基三甲基铵溴化物(CTAB)存在与不存在时,钼与7,8-二羟基-4-甲基氧杂萘邻酮(DHmC)形成的1:2络合物。当CTAB不存在时,在pH5.6～6.0范围内生成的二元络合物在360nm处显示出最大吸收率,其摩尔吸收率为5.1×10~4l·mole^(-1)·... 详细信息

研究了在十六炕基三甲基铵溴化物(CTAB)存在与不存在时,钼与7,8-二羟基-4-甲基氧杂萘邻酮(DHmC)形成的1:2络合物。当CTAB不存在时,在pH5.6～6.0范围内生成的二元络合物在360nm处显示出最大吸收率,其摩尔吸收率为5.1×10~4l·mole^(-1)·cm^(-1)。当CTAB存在时,在pH4.8～6.0范围内生成的络合物,在最大吸收波长400nm处摩尔吸收率为1.32×10~5l·mole^(-1)·cm^(-1)。研究了生成络合物的最佳条件,并介绍了一种测定含钼约70％以下的各种合金和钢中钼的快速、灵敏和选择性颇好的方法。少量锆和钨会发生干扰。

关键词：钼分光光度法 DHmC CTAB

machine Learning for QoS Optimization and Energy-Efficient in Routing Clustering Wireless Sensors

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Computers, materials & Continua 2025年第1期82卷 327-343页

作者： Rahma Gantassi zaki masood Yonghoon Choi Department of Electrical Engineering Chonnam National University Gwangju61186Republic of Korea

Wireless sensor network(WSN)technologies have advanced significantly in recent *** in WSNs,machine learning algorithms are crucial in selecting cluster heads(CHs)based on various quality of service(QoS)*** paper proposes a new clustering routing protocol employing the Traveling Salesman Problem(TSP)to locate the optimal path traversed by the mobile Data Collector(mDC),in terms of energy and QoS *** bemore specific,to minimize energy consumption in the CH election stage,we have developed the m-T protocol using the K-means and the grid clustering *** addition,to improve the transmission phase of the Low Energy Adaptive Clustering-Grid-Kmeans(LEACH-G-K)protocol,the mDC is employed as an intermediary between the CH and the sink to improve the wireless sensor network(WSN)*** results of the experiment demonstrate that the m-T protocol enhances various Low Energy Adaptive Clustering protocol(LEACH)improvements such as the LEACH-G-K,LEACH-C,Threshold sensitive Energy Efficient Sensor Networks(TEEN),mDC maximum residual energy leach protocol.

关键词： LEACH-G-K mDC TSP QoS K-means

Neurogenesis dynamics in the olfactory bulb:deciphering circuitry organization, function, and adaptive plasticity

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Neural Regeneration Research 2025年第6期20卷 1565-1581页

作者： moawiah m.Naffaa Department of Psychology and Neuroscience Duke UniversityDurhamNCUSA Department of Cell Biology Duke University School of MedicineDurhamNCUSA

Adult neurogenesis persists after birth in the subventricular zone, with new neurons migrating to the granule cell layer and glomerular layers of the olfactory bulb, where they integrate into existing circuitry as inhibitory interneurons. The generation of these new neurons in the olfactory bulb supports both structural and functional plasticity, aiding in circuit remodeling triggered by memory and learning processes. However, the presence of these neurons, coupled with the cellular diversity within the olfactory bulb, presents an ongoing challenge in understanding its network organization and function. moreover,the continuous integration of new neurons in the olfactory bulb plays a pivotal role in regulating olfactory information processing. This adaptive process responds to changes in epithelial composition and contributes to the formation of olfactory memories by modulating cellular connectivity within the olfactory bulb and interacting intricately with higher-order brain regions. The role of adult neurogenesis in olfactory bulb functions remains a topic of debate. Nevertheless, the functionality of the olfactory bulb is intricately linked to the organization of granule cells around mitral and tufted cells. This organizational pattern significantly impacts output, network behavior, and synaptic plasticity, which are crucial for olfactory perception and memory. Additionally, this organization is further shaped by axon terminals originating from cortical and subcortical regions. Despite the crucial role of olfactory bulb in brain functions and behaviors related to olfaction, these complex and highly interconnected processes have not been comprehensively studied as a whole. Therefore, this manuscript aims to discuss our current understanding and explore how neural plasticity and olfactory neurogenesis contribute to enhancing the adaptability of the olfactory system. These mechanisms are thought to support olfactory learning and memory, potentially through increased

关键词： network adaptability neurogenesis neuronal communication olfactory bulb olfactory learning olfactory memory synaptic plasticity

matSciBERT:A materials domain language model for text mining and information extraction

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npj Computational materials 2022年第1期8卷 940-950页

作者： Tanishq Gupta mohd zaki N.m.Anoop Krishnan mausam Department of mathematics Indian Institute of Technology DelhiHauz KhasNew Delhi110016India Department of Civil Engineering Indian Institute of Technology DelhiHauz KhasNew Delhi110016India School of Artificial Intelligence Indian Institute of Technology DelhiHauz KhasNew Delhi110016India Department of Computer Science and Engineering Indian Institute of Technology DelhiHauz KhasNew Delhi110016India

A large amount of materials science knowledge is generated and stored as text published in peer-reviewed scientific *** recent developments in natural language processing,such as Bidirectional Encoder Representations from Transformers(BERT)models,provide promising information extraction tools,these models may yield suboptimal results when applied on materials domain since they are not trained in materials science specific notations and ***,we present a materials-aware language model,namely,matSciBERT,trained on a large corpus of peer-reviewed materials science *** show that matSciBERT outperforms SciBERT,a language model trained on science corpus,and establish state-of-the-art results on three downstream tasks,named entity recognition,relation classification,and abstract *** make the pre-trained weights of matSciBERT publicly accessible for accelerated materials discovery and information extraction from materials science texts.

关键词： such text weights