Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection by Altaf S., Mehmood M. S., Imran M.

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Relationship between dental occlusion and brain activity: A narrative review by Sebastian Silva Ulloa, Ana Lucía Cordero Ordóñez, Vinicio Egidio Barzallo Sardi

“…The purpose of this narrative review was to identify the relationship between occlusion and brain activity so as to provide theoretical support to enable future studies on the subject. Study selection, data, and sources: Relevant case-control studies, clinical trials, and systematic reviews available in English were retrieved from the following databases: MEDLINE, PubMed, ScienceDirect, Wiley Online Library, and Biblioteca Virtual en Salud (BVS). …”
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Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection by Mohammad Almseidin, Amjad Gawanmeh, Maen Alzubi, Jamil Al-Sawwa, Ashraf S. Mashaleh, Mouhammd Alkasassbeh

“…The strength of DNNs is derived from their ability to model complex functions and to improve detection engines through deeper architecture. …”
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Early detection to improve outcome in people with undiagnosed psoriatic arthritis: the PROMPT research programme including RCT by Neil McHugh, Laura Bojke, Mel Brooke Turfrey, Rachel Charlton, Myka Ransom, Laura C Coates, Howard Collier, Claire Davies, Emma Dures, Philip Helliwell, Jana James, Anya Lissina, Vishnu B Madhok, Alison L Nightingale, Jonathan Packham, Catherine Smith, Eldon Spackman, Cerys Tassinari, William Tillett, Sarah T Brown

“…Surveillance for undiagnosed psoriatic arthritis generally detects mild cases as measured by physical function. …”
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Research on Fault Detection Technology for Circuit Breaker Operating Mechanism Combinations Based on Deep Residual Networks by Hongping Shao, Yizhe Jiang, Jianeng Zhao, Xueteng Li, Mingzhan Zhang, Mingkun Yang, Xinyu Wang, Hao Yang

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Implementation of a Smart Home Intruder Detection System using a Vibrometer and ESP 32 CAM by Samuel Owoeye, Folasade Durodola, Adekunle Oyelami, Racheal Oladejo, Samuel Obasuyi, Ademola Qasim, Joshua Ogundairo

“…The topic of security is quite important; hence this paper presents the development and implementation of a Smart Intruder Detection System utilizing the ESP32-CAM board, the Vibrometer and the ATMega328P microcontroller to enhance lighting, security, and surveillance functionalities. …”
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Density‐dependent responses of moose to hunting and landscape change by Mateen Hessami, Robert Serrouya, Clayton T. Lamb, Melanie Dickie, Adam T. Ford

“…The latter data series spanned 1961–2020 and informed the resource selection function and calculations for our first research objective as well as the predictive modelling for our second research objective. …”
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Enhanced Separation of Palladium from Nuclear Wastewater by the Sulfur-Rich Functionalized Covalent Organic Framework by Junli Wang, Chen Luo, Wentao Wang, Hui Wang, Yao Liu, Jianwei Li, Taihong Yan

“…The outcomes of this research underscore the immense potential of COFs endowed with resilient linkers and precisely engineered functional groups. Such COFs can adeptly capture metal ions with high selectivity, even in the face of severe environmental conditions, thereby paving the way for the more effective and environmentally responsible management of radioactive waste.…”
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Candidate genes associated with fatty acid compositions in north American Atlantic salmon (Salmo salar) by Barbara L. Langille, Manuel Juárez, Nuria Prieto, Solomon Boison, Panya Sae Lim, Bruce D. Swift, Amber F. Garber

“…Atlantic salmon is a major dietary source of nutritious and digestible fatty acids. Here, we set out to uncover the genomic basis of individual fatty acids and indices (saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids, n-3, and n-6) in 208 North American Atlantic salmon, to understand selection potential toward increasing relative quantities of essential fatty acids and to identify candidate genes for future research. …”
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Fatty Acid Profile in Field-Collected Seaweed, Lipid Extraction Optimization, and Food Functional Properties by Nabeel Gnayem, Razan Unis, Rima Gnaim, Álvaro Israel, Jallal Gnaim, Alexander Golberg

“…Additionally, lipid extraction was optimized using food-grade solvents, reaction temperatures, and the functional properties of selected green and brown seaweeds. …”
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Application of the Analytic Hierarchy Process Method to Select the Final Solution for Multi-Criteria Optimization of the Structure of a Hybrid Generation System with Energy Storage by Andrzej Tomczewski, Stanisław Mikulski, Jan Szymenderski

“…This paper concerns the application of the AHP (analytic hierarchy process) multi-criteria decision support method for the final selection of the structure of a hybrid power system with RESs (renewable energy sources) and EES (electrical energy storage) from a set of solutions obtained through multi-criteria optimization. …”
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AI Chatbots and Cognitive Control: Enhancing Executive Functions Through Chatbot Interactions: A Systematic Review by Pantelis Pergantis, Victoria Bamicha, Charalampos Skianis, Athanasios Drigas

“…The criteria aligned with the study objectives, ensuring a focus on AI chatbots and the impact of conversational agents on executive function. The initial collection totaled <i>n</i> = 115 articles; however, the eligibility requirements led to the final selection of <i>n</i> = 10 studies. …”
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5G network slicing function migration mechanism based on particle swarm optimization algorithm by Qiang CHEN, Caixia LIU, Lingshu LI

“…In multi-application scenarios of 5G,data traffic often increases dramatically.Virtual machine resources in network slicing may not meet the normal needs of users.In view of this,a network slicing function migration mechanism aiming at load balancing was proposed.The mechanism simulates the virtual machine into particles based on particle swarm optimization algorithm.In the process of migration,all particles were divided into several subgroups,and particle swarm optimization algorithm was applied within and among groups.According to the historical optimal solution and the current global optimal solution,the particle location was updated,and the best target particles were determined by selecting the smaller particle size of the particle in real time.The mechanism not only improves the convergence speed,but also improves the accuracy of the algorithm.Compared with other migration methods,the results show that the proposed migration mechanism has the advantages of high accuracy and fast convergence.And it can also improve the efficiency of resource utilization,reduce the energy consumption of data center,and has better adaptability.…”
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Awareness and Attitude towards Functional Dairy Products among Consumers in Western Province of Sri Lanka by Narayana Mudiyanselage Nayana Kumari Narayana, Sanjeewa Fernando, Gangani Chandima Samaraweera

“…The study was conducted using a pre-tested structured questionnaire during June to November 2018, with the participation of 307 purposively selected consumers. Information on consumers’ tendency towards a healthy life style, awareness and perception on health benefits of functional foods and dairy products, confidence on different information sources etc. were recorded. …”
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Comparison of the effectiveness of cognitive rehabilitation and drug therapy on executive functions in patients with borderline personality disorder by Fereshte Bakhshian, Kamran Yazdanbakhsh, Jahangir Karami, Seyed Hamzeh Hosseini

“…In addition, according to the significance of F obtained in the intergroup source in the total score of executive functions, memory components, selective inhibition,selective attention, decision making, planning, sustained attention, social cognition, and cognitive flexibility, it can be said that there is a significant difference between the average scores of the experimental groups and the control group. …”
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Rural Water Point Functionality Estimates and Associations: Evidence From Nine Countries in Sub‐Saharan Africa and South Asia by Anna L. Murray, Gabriela Stone, Audrey R. Yang, Nicholas F. Lawrence, Hannah Matthews, Georgia L. Kayser

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Innovative transformer neural network for wind density function estimation at different hub heights of turbine by Amit Kumar Yadav, Vibha Yadav, Walle Tilahun

“…Abstract Accurate estimation of wind power potential is important for resource assessment to install wind turbine. Weibull distribution functions (WDF) have been widely used and it is a function of wind speed (WS). …”
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Impact assessment of uterine artery embolization on reproductive by N. A. Kalinina, A. N. Sulima, Z. S. Rumyantseva, P. N. Baskakov, V. D. Kalinin

“…We selected articles for the years 1995–2023 devoted to assessing UAE influence on reproductive function. …”
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Functional Tests\' Sensitivity and Specificity for Return to Sport After ACL Reconstruction: A Scoping Review by Parisa Sedaghati, Mohammad Ghafoori, Ali Parvaneh Sarand

“…Furthermore, a manual search of the sources of articles was conducted and thoroughly examined. …”
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Spectral wavelength range influences the performance of chemometric models estimating various foliar functional traits by Minjee Park, Lorenzo Cotrozzi, Geoffrey M. Williams, Matthew D. Ginzel, Michael V. Mickelbart, Douglass F. Jacobs, John J. Couture

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