Methods of ensuring the operational stability of dc-dc power supply in arctic conditions by V. A. Shpenst, E. A. Orel

“…The article examines the issues of adapting the modular approach to the specifics of frost-resistant power supplies. …”
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Transcription elongation and tissue-specific somatic CAG instability. by Agathi-Vasiliki Goula, Agnieszka Stys, Jackson P K Chan, Yvon Trottier, Richard Festenstein, Karine Merienne

“…Together, our data support the view that transcription modulates somatic CAG instability in vivo. More specifically, our results suggest for the first time that transcription elongation is regulated in a tissue-dependent manner, contributing to tissue-selective CAG instability.…”
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An Improved Extraction Scheme for High-Frequency Injection in the Realization of Effective Sensorless PMSM Control by Indra Ferdiansyah, Tsuyoshi Hanamoto

“…Generally, this process relies on band-pass filters (BPFs) and low-pass filters (LPFs) to modulate signals in the quadrature current to obtain rotor position error information. …”
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Enhanced Pose Estimation for Badminton Players via Improved YOLOv8-Pose with Efficient Local Attention by Yijian Wu, Zewen Chen, Hongxing Zhang, Yulin Yang, Weichao Yi

“…Furthermore, we conduct an in-depth comparative analysis of multiple attention modules and their integration strategies within the network, offering generalizable insights to enhance pose estimation models in other sports domains. …”
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RMP-UNet: An Efficient and Lightweight Model for Apple Leaf Disease Segmentation by Wenbo Zhao, Lijun Hu, Qi Wang, Hongxin Wu, Jiangbo Wang, Xu Li, Cuiyun Wu

“…Based on the traditional UNet architecture, RMP-UNet incorporates an efficient multi-scale attention mechanism (EMA) along with innovative lightweight reparameterization modules (RepECA) and multi-scale feature fusion dynamic upsampling modules (PagDy), optimizing feature extraction and fusion processes to improve segmentation accuracy while reducing model complexity. …”
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Hyaluronidase: structure, mechanism of action, diseases and therapeutic targets by Jiamin Lu, Zheng Zhao, Lingli Pan, Hui Wu, Shibing Wang, Xiangmin Tong, Shenghao Wu

“…Furthermore, the article explores innovative therapeutic strategies centered on HAase modulation. HAase inhibitors emerge as promising tools for maintaining HA homeostasis, with implications in anti-inflammatory, antimicrobial, and antitumor therapies by blocking excessive HA degradation. …”
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A Survey of Visual SLAM Based on RGB-D Images Using Deep Learning and Comparative Study for VOE by Van-Hung Le, Thi-Ha-Phuong Nguyen

“…In this paper, the taxonomy is proposed to conduct a complete survey based on three methods to construct Visual SLAM and VOE from RGB-D images (1) using DL for the modules of the Visual SLAM and VOE systems; (2) using DL to supplement the modules of Visual SLAM and VOE systems; and (3) using end-to-end DL to build Visual SLAM and VOE systems. …”
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Ultra-Low Static Power Circuits Addressing the Fan-Out Problem of Analog Neuron Circuits in Spiking Neural Networks by Jonghyuk Park, Woo Young Choi

“…Previous solutions to the fan-out problem, including the incorporation of delay-capacitors, inverter chains, or operational amplifiers, require substantial area and consume considerable static power, thereby impeding low-power computing for event-driven operations in SNN. To address this issue, we propose the integration of spike-based voltage buffers (S-VBs) and pull-down pulse width modulation (PD-PWM) circuits. …”
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A Novel Biclustering Algorithm Based on Differential Sparsity Constraints and Dynamic Graph Regularization for Cancer Gene Expression Data by Dan Li, Peicong Song, Jia Wang

“…Biclustering is an effective method for identifying biologically significant gene modules, which aims at extracting gene modules enriched with more information and achieving accurate cancer subtype classification. …”
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Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration by Miguel Tradacete-Ágreda, Carlos Santos-Pérez, Pablo José Hueros-Barrios, Francisco Javier Rodríguez-Sánchez, Rafael Pérez-Seguí, Javier Melero-Deza, Pascual Campoy

“…The inspection data is then relayed back to the IoT Modules, triggering appropriate actions. This framework enhances detection algorithms by providing rapid identification of severe issues. …”
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LPItabformer: Enhancing generalization in predicting lncRNA-protein interactions via a tabular Transformer by Qin Lin, Jie Sheng, Chang Zhou, Tao Xiao, Yilei Meng, Mingxin Lu, Junfang Zhang, Xueyun Yan, Luying Peng, Huaming Cao, Li Li

“…In this study, data splitting by incorporating protein clusters as group information reveals that lots of LPI prediction methods suffer from generalization flaws due to data leakage caused by ignoring LPI biological properties. To address the issue, we present LPItabformer, a tabular Transformer framework for predicting LPIs, that incorporates a domain shifts with uncertainty (DSU) module for generalization enhancement. …”
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A guide to selecting high-performing antibodies for Stearoyl-CoA desaturase (SCD1) (UniProt ID: O00767) for use in western blot, immunoprecipitation, and immunofluorescence [versio... by Carl Laflamme, Vera Ruíz Moleón, Sara González Bolívar, Riham Ayoubi, Charles Alende, Maryam Fotouhi

“…The enzyme stearoyl-CoA desaturase (SCD1) is a modulator of lipid metabolism by catalyzing the biosynthesis of mono-unsaturated fatty acids from saturated fatty acids. …”
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FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection by Zhijie Li, Jiahui Zhang, Yingjie Zhang, Dawei Yan, Xing Zhang, Marcin Woźniak, Wei Dong

“…Although DETR’s self-attention mechanism effectively captures the global context, it struggles with fine-grained detail detection, limiting its efficacy in small object detection where noise can easily obscure or confuse small targets. To address these issues, we propose <b>F</b>uzzy <b>S</b>ystem <b>DN</b>N-<b>DETR</b> involving two key modules: Fuzzy Adapter Transformer Encoder and Fuzzy Denoising Transformer Decoder. …”
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Alfalfa quality improvement and loss reduction technology advances by Si-Yi Wang, Si-Yi Wang, Guo-Lin Yang, Yuan-Yuan Jing, Zhen-Nan He, Zhen-Nan He, Bin Liu, Le Sun, Yue Zhang, Fengqin Gao

“…Optimizing alfalfa, a high-quality forage material with huge volume in the world, modulation and processing technology, exploring the key technologies of improving quality and reducing loss, reducing cost and increasing efficiency, and increasing its application path in livestock feeding, are the key issues to be solved urgently. …”
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Liquid metal-based stretchable bioelectronic fiber for electrical stimulation and drug delivery in minimally invasive cardiac therapy by Chanhui Park, Yesol Kim, Seonghyeon Nam, Hyejeong Kang, Joonho Moon, Ji Hoon Kim, Gi doo Cha, Seung-Pyo Lee, Sung-Hyuk Sunwoo, Dae-Hyeong Kim

“…In this regard, a soft implantable device has been considered for cardiac applications, but invasiveness in their implantation procedure and difficulty in compact integration of multiple functions are unmet challenges. To address these issues, we develop a stretchable, multi-functional fiber designed for emergent cardiac intervention, offering electrogram recording, electrical modulation, and drug therapy directly at the epicardial surface. …”
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Consistency Preserved Nonuniform Scattering Removal for Wide-Swath Remote Sensing Images by Yurui Liu, Huaizhuo Liu, Ruifan Zhang, Zhenglin Tang, Hai-Miao Hu

“…Specifically, three modules named ellipsoid scattering distribution (ESD), illumination linear mapping (ILM), and spectral proportion combination (SPC) are introduced to improve the basic prior-based dehazing method. …”
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Development of Enzyme-Mediated Duplex Exponential Amplification Assay for Detection and Identification of <i>Meloidogyne enterolobii</i> in Field by Bingxue Sun, Bo Gao, Rongyan Wang, Shulong Chen, Xiuhua Li, Yonghao Dong, Juan Ma

“…We thus developed a method for detecting <i>M. enterolobii</i> based on enzyme-mediated duplex exponential amplification (EmDEA) technologies to address this issue. The EmDEA detection method demonstrated strict specificity for the target species, showing no amplification in 13 non-target nematodes or host tissue samples. …”
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Comparative Study of OLGA and LedaFlow Models for Mechanistic Predictions of Hydrate Transport Dynamics by Anqi Qu, Luiz F. R. Dalla, Luis E. Zerpa, Thierry Palermo, Khalid Mateen, Annie Fidel-Dufour, Carolyn A. Koh

“…Gas hydrate formation in pipelines transporting multiphase fluids from petroleum reservoirs can lead to the formation of blockages, representing a significant flow assurance challenge. Key issues caused by hydrates include substantial increases in the viscosity of mixed liquid phases and the deposition of hydrates on the pipeline wall. …”
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Neurological damages in COVID‐19 patients: Mechanisms and preventive interventions by Sibani Sarkar, Subhajit Karmakar, Malini Basu, Pratyasha Ghosh, Mrinal K Ghosh

“…Internalization of SARS‐CoV‐2 triggers ROS production and modulation of the immunological cascade which ultimately initiates the hypercoagulable state and vascular thrombosis. …”
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Defense Method for Smart Grid GPS Spoofing Attack Based on BiLSTM and Self-attention Mechanism Generative Adversarial Network by Hui WU, Ziwei ZOU, Fengming XIAO, Jie LIU, Chenpeng MIN, Zhuoqun XIA

“…To address the aforementioned issues, this paper proposes a GSA defense method based on bidirectional long short-term memory (BiLSTM) network and self-attention mechanism generative adversarial network. …”
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