Control of three-level quadratic DC-DC boost converters for energy systems using various technique-based MPPT methods by Souheyb Mohammed Belhadj, Bouziane Meliani, Habib Benbouhenni, Ilhami Colak, Z. M. S. Elbarbary, Saad F. Al-Gahtani

“…Despite its simplicity and ability to ensure voltage balance across the output capacitors, this architecture suffers several drawbacks. …”
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DAU-YOLO: A Lightweight and Effective Method for Small Object Detection in UAV Images by Zeyu Wan, Yizhou Lan, Zhuodong Xu, Ke Shang, Feizhou Zhang

“…To enhance feature extraction, a Receptive-Field Attention (RFA) module is introduced in the backbone, allowing adaptive convolution kernel adjustments across different local regions, thereby addressing the challenge of dense object distributions. …”
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Bletilla striata polysaccharides ameliorate metabolic-associated fatty liver disease by decreasing the NLRP3 inflammasome and pyroptosis by Tingting Yu, Juan Xue, Wenqian Tang, Xiaojie Wu, Jun Li, Fan Yang, Lei Luo

“…Bletilla striata polysaccharides (BSPs), extracted from the tubers of Bletilla striata (Thunb.) …”
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The impact of insulin resistance on long-term outcomes in heart failure: a systematic review by Soumya Sri Pichuka

“…However, many were retrospective rather than prospective, limiting the ability to establish causality in long-term outcomes. …”
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NUTRITCIOGENETICS AND RISK FACTORS OF CARDIOVASCULAR DISEASE: ASSOCIATED RESEARCH IN EASTERN SIBERIA POPULATIONS by T. A. Bairova, V. V. Dolgikh, L. I. Kolesnikova, O. A. Pervushina

“…We studied a total genomic DNA, which was extracted from blood serum by non-enzymatic method. …”
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Pig Aggression Tracking and Analysis Application Based on A RPMeMOTR Method by Shuqin Tu, Haoxuan Ou, Aqing Yang, Yun Liang, Jiaying Du, Yuefei Cao, Ruilin He, Fang Yuan

“…Firstly, we create a new backbone structure named RKNet to enhance aggression feature extraction and representation learning ability. Then, we design the P-ids algorithm to ensure stable tracking by preserving and leveraging historical trajectory data. …”
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Segmentation Performance and Mapping of Dunes in Multi-Source Remote Sensing Images Using Deep Learning by Pengyu Zhao, Jiale An, Jianghua Zheng, Wanqiang Han, Nigela Tuerxun, Bochao Cui, Xuemi Zhao

“…However, the diversity and complexity of the dune morphology present significant challenges when using traditional classification methods, particularly in feature extraction, model parameter optimization, and large-scale mapping. …”
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A review of UK publicly funded non-inferiority trials: is the design more inferior than it should be? by Nikki Totton, Steven Julious, Stephen Walters, Elizabeth Coates

“…Characteristics of the design, analyses and results as available were recorded on a dedicated data extraction spreadsheet. Appropriate summary statistics were used to present the results. …”
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BED-YOLO: An Enhanced YOLOv10n-Based Tomato Leaf Disease Detection Algorithm by Qing Wang, Ning Yan, Yasen Qin, Xuedong Zhang, Xu Li

“…Second, we incorporated a Bidirectional Feature Pyramid Network (BiFPN) on top of the FPN + PAN structure to optimize feature fusion and improve the extraction of small disease regions, thereby enhancing the detection accuracy for small lesion targets. …”
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A method of identification and localization of tea buds based on lightweight improved YOLOV5 by Yuanhong Wang, Yuanhong Wang, Jinzhu Lu, Jinzhu Lu, Qi Wang, Qi Wang, Zongmei Gao

“…The Fuding white tea bud image dataset was established by collecting Fuding white tea images; then the lightweight network ShuffleNetV2 was used to replace the YOLOV5 backbone network; the up-sampling algorithm of YOLOV5 was optimized by using CARAFE modular structure, which increases the sensory field of the network while maintaining the lightweight; then BiFPN was used to achieve more efficient multi-scale feature fusion; and the introduction of the parameter-free attention SimAm to enhance the feature extraction ability of the model while not adding extra computation. …”
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Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images by Taojuan Li, Wen Liu, Mingxian Song, Zheng Gu, Ling Hai

“…First, we introduce an efficient multiscale convolutional (EMSC) module to improve feature extraction from complex backgrounds and enhance multiscale representation. …”
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Characterization of Dolomite Stone Broken Under Axial Impact by Ran Ji, Han Chen, Huaizhong Shi, Wenhao He, Dong Liu, Yongqi Wang

“…As the extraction of oil and gas progresses into deeper and ultra-deep geological formations, the enhancement of rock-breaking efficiency in drill bits has emerged as a critical factor in ensuring energy security. …”
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SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…However, traditional intrusion detection methods exhibit several limitations, including insufficient feature extraction from network data, high model complexity, and data imbalance, which result in issues like low detection efficiency, as well as frequent false positives and missed alarms. …”
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Design of an Iterative Method for Time Series Forecasting Using Temporal Attention and Hybrid Deep Learning Architectures by Yuvaraja Boddu, A. Manimaran

“…This configuration adeptly extracts both spatial and temporal features, yielding a 15% reduction in prediction error across various datasets. …”
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Is the population properly informed about sleep disorders? A população está devidamente informada sobre os distúrbios do sono? by Eleida Pereira Camargo, Luciane Bizari Coin Carvalho, Lucila Bizari Fernandes Prado, Gilmar Fernandes Prado

“…OBJECTIVE: To measure the prior knowledge about sleep disorders and patient's ability to report their problems adequately to health professionals. …”
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Remote sensing monitoring of wheat aphids by combining HJ satellite images with least squares twin support vector machine model by HU Gensheng, WU Wentian, LUO Juhua, HUANG Wenjiang, LIANG Dong, HUANG Linsheng

“…The LSTSVM has a good processing ability for large scale unbalanced data and has stronger robustness than the traditional support vector machine (SVM) . …”
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Preliminary validation of the Suicide Management Competency Scale in a Chinese nurse population: a cross-sectional study by Yuxiu Liu, Wei Wu, Shuzhen Li, Xin Wang, Lan Zhang

“…The average variance extracted (AVE) of the three subscales ranged from 0.500 to 0.583. …”
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A precise spatiotemporal fusion crop classification framework based on parcels by Liegang Xia, Changge Chen, Jiancheng Luo, Xiaodong Hu, Xuanzhi Lu, Hongfeng Yu, Keyu Lu

“…Abstract The precise extraction of crop type information on agricultural land supports applications such as agricultural information statistics and planning. …”
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Hip Involvement in Pediatric Scurvy: Early Magnetic Imaging Signs by Lisa Gamalero, Anna Perrone, Chiara Macucci, Alessandra Meneghel, Marta Balzarin, Sandra Trapani, Giuseppe Indolfi, Giorgia Martini, Teresa Giani

“…Demographic, clinical, laboratory, and radiological data were extracted from electronic medical records. <b>Results:</b> We identified ten patients with a median age at disease onset of 45 months (range 17–133 months) admitted between 2016 and 2022. …”
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Estimating within-stride metabolic cost from stride-average data using autoencoders and expander networks by Manal Mustafa, Alex C. Dzewaltowski, Alex C. Dzewaltowski, Philippe Malcolm, Keegan J. Moore, Keegan J. Moore

“…After training, the decoder is extracted and applied to mean metabolic cost values to compute the time series. …”
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