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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The structural and functional brain alternations in tobacco use disorder: a systematic review and meta-analysis by Longyao Ma, Longyao Ma, Qiuying Tao, Qiuying Tao, Jinghan Dang, Jinghan Dang, Jieping Sun, Jieping Sun, Xiaoyu Niu, Xiaoyu Niu, Mengzhe Zhang, Mengzhe Zhang, Yimeng Kang, Yimeng Kang, Weijian Wang, Weijian Wang, Jingliang Cheng, Jingliang Cheng, Yong Zhang, Yong Zhang

“…BackgroundWhile numerous previous studies have indicated that nicotine intake results in gray matter and functional brain abnormalities in tobacco use disorder (TUD), the majority of results could not be replicated or even reversed. …”
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Objective Function Formulation to Optimize Control Structure Parameters Using Nature-Inspired Optimization Algorithms by Rafal Szczepanski, Krystian Erwinski, Tomasz Tarczewski

“…This paper uses a nature-inspired optimization algorithm to discuss the automatic selection of control structure parameters. The commonly used quality indicators are presented and analyzed for the optimization process of the control system. …”
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Edge enhancement of potential field data using the enhanced gradient (EG) filter by Ahmad Alvandi, Korimilli N Durga Prasad, Hazel Deniz Toktay

“…Potential field data play a critical role in interpreting various geologic structural features through edge detection filters that aid in mapping subsurface structural features. …”
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Atmospheric Modulation Transfer Function Calculation and Error Evaluation for the Panchromatic Band of the Gaofen-2 Satellite by Zhengqiang Li, Mingjun Liang, Yan Ma, Yang Zheng, Zhaozhou Li, Zhenting Chen

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Feature engineering for fault detection and diagnosis in Power Transmission Lines using a tree-based approach by Hassan N. Noura, Zaid Allal, Ola Salman, Khaled Chahine

“…The training time did not exceed 0.5 s for fault detection and 0.3 s for fault diagnosis. This swift convergence, coupled with the minimal training times, underscores the efficiency of the proposed feature engineering process and the selected classifiers.…”
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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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A Multisource Dynamic Fusion Network for Urban Functional Zone Identification on Remote Sensing, POI, and Building Footprint by Hangfeng Qiao, Huiping Jiang, Gang Yang, Faming Jing, Weiwei Sun, Chenyang Lu, Xiangchao Meng

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Arlclustering: an R package for community detection in social networks based on user interaction and association rule learning by Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Tarik Agouti

“…Abstract ARLClustering is an open-source R package for community detection in social networks. …”
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Understanding Impedance Response Characteristics of a Piezoelectric-Based Smart Interface Subjected to Functional Degradations by Ba-Phu Nguyen, Quang Hung Tran, Thanh-Truong Nguyen, Ananta Man Singh Pradhan, Thanh-Canh Huynh

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GloFinder: AI-empowered QuPath plugin for WSI-level glomerular detection, visualization, and curation by Jialin Yue, Tianyuan Yao, Ruining Deng, Siqi Lu, Junlin Guo, Quan Liu, Juming Xiong, Mengmeng Yin, Haichun Yang, Yuankai Huo

“…Artificial intelligence (AI) has demonstrated significant success in automating the detection of glomeruli—key functional units of the kidney—from whole slide images (WSIs) in kidney pathology. …”
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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

“…By understanding this injury through implementing functional tests, the potential for reinjury can be reduced. …”
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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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Pequi-Derived Carbon Dots as a Fluorescence Quenching Sensor for Sensitive Detection of Fe3+ Ions by B. P. Oliveira, I. M. Sampaio, J. J. P. Oliveira, S. V. Carneiro, R. A. Antunes, P. B. A. Fechine, F. O. M. S. Abreu

“…Pequi-based carbon dots (PQ-CDs) exhibited an estimated height of around 8 nm, with hydroxyl, carbonyl, and amino functional groups confirmed by FTIR, bright blue emission, and a quantum yield of 17.9%. …”
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Portable immuno nano biosensor for multiple disease detection using 3D printed SPR technologies by Aparanji Poosarla, Jagannadha Rao Mokka, Kolla Venkata Atchuta Rao, Mano Pardhavi Dasari

“…The sensor showed the highest sensitivity at 50X concentration of antigen and least at 10x concentration stating maximum and minimum values for a limit of detection. This device using this principle could has wide functionalities to detect multiple biological samples by changing the antibodies to our respective analyte over the reaction chip for multiple times with low cost.…”
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Multimorbidity patterns and function among adults in low- and middle-income countries: a scoping review by Karina Berner, Quinette A Louw, Eugene Nizeyimana, Diribsa Tsegaye Bedada

“…Objectives To map the scope of available evidence on relationships between multimorbidity patterns and functioning among adults in low- and middle-income countries (LMICs), and describe methods used.Design Scoping review guided by a five-step methodological framework and Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews reporting guidelines.Data sources PubMed/MEDLINE, Scopus, EBSCOhost (CINAHL) and Cochrane databases were searched from January 1976 to March 2023, plus reference lists of included studies.Eligibility criteria for selecting studies Peer-reviewed full-text articles or conference proceedings of any design, published in English or Afrikaans, involving adults (>18 years) with multimorbidity living in LMICs. …”
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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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Accuracy of a ground-coupled antenna based non-contact method for detecting the integrity of lining contours by Ruilang Cao, Yanqing Yang, Yujie Wang, Xingsong Sun

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Application of CRISPR-Cas System in Human Papillomavirus Detection Using Biosensor Devices and Point-of-Care Technologies by Chang He, Yongqi Li, Jinkuan Liu, Zhu Li, Xue Li, Jeong-Woo Choi, Heng Li, Shan Liu, Chen-zhong Li

“…Therefore, the development of rapid, high-throughput, and sensitive HPV detection platforms is important, especially in regions with limited access to advanced medical resources. …”
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YOLO-LSM: A Lightweight UAV Target Detection Algorithm Based on Shallow and Multiscale Information Learning by Chenxing Wu, Changlong Cai, Feng Xiao, Jiahao Wang, Yulin Guo, Longhui Ma

“…To address challenges such as large-scale variations, high density of small targets, and the large number of parameters in deep learning-based target detection models, which limit their deployment on UAV platforms with fixed performance and limited computational resources, a lightweight UAV target detection algorithm, YOLO-LSM, is proposed. …”
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