Research on a Lightweight Arrhythmia Classification Model Based on Knowledge Distillation for Wearable Single-Lead ECG Monitoring Systems by Xiang An, Shiwen Shi, Qian Wang, Yansuo Yu, Qiang Liu

“…Deep learning models, trained on ECG signals across twelve or more leads, are the predominant approach for automated arrhythmia detection in the AI-assisted medical field. While these multi-lead ECG-based models perform well in automatic arrhythmia detection, their complexity often restricts their use on resource-constrained devices. …”
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Recent advancements in nanomaterial-based biosensors for diagnosis of breast cancer: a comprehensive review by Yalda Yazdani, Fereshtehsadat Jalali, Habib Tahmasbi, Mitra Akbari, Neda Talebi, Seyed Abbas Shahrtash, Ahmad Mobed, Mahsa Alem, Farhood Ghazi, Mehdi Dadashpour

“…In addition to introducing biosensors as an efficient tool, it also discusses the latest and most significant biosensors developed for detecting the BRCA gene.…”
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Determination of the metabolites, eicosanoids derived from polyunsaturated fatty acids in Drosophila tissue with high performance liquid chromatography tandem mass spectrometry by TAN Liangliang, SHEN Lirong

“…Obtained results showed that the calibration curves were of good linearity for the 15 metabolites in the range of 2.5-100 ng/mL with the correlation coefficient (r) of 0.991. The limits of detection and quantitation were about 0.1-2.6 ng/g and 0.3-8.7 ng/g, respectively. …”
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Research on the Remanence Measurement Method of Transformers Based on the Degaussing Hysteresis Loop by Dingyuan Li, Jing Zhou, Zhanlong Zhang, Yu Yang, Zijian Dong, Wenhao He, Xichen Pei, Jiatai Gao, Siyang Chen, Zhicheng Pan

“…This method does not require complex control strategies, has high precision and efficiency, and can provide reliable technical support for residual magnetism detection and suppression of off-grid power transformers.…”
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Research on Method for Intelligent Recognition of Deep-Sea Biological Images Based on PSVG-YOLOv8n by Dali Chen, Xianpeng Shi, Jichao Yang, Xiang Gao, Yugang Ren

“…Nonetheless, the inherent complexities of the deep-sea environment, the scarcity of available deep-sea organism samples, and the significant refraction and scattering effects of underwater light collectively impose formidable challenges on the current detection algorithms. …”
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Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…Additionally, irregularities in the growth pattern of the fruiting pedicels further complicate precise picking point localization, thus impacting harvesting efficiency. Moreover, the fruit stalks being too short or slender poses an obstacle, rendering it impossible for the depth camera to accurately obtain depth information during depth value acquisition. …”
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Exploring the extraction capabilities of natural cyclodextrin-nanosponges: The improvement moving from α- to γ-cyclodextrin-based polymers by Nina Felli, Davide Filardi, Riccardo Sergi, Luisa Maria Migneco, Massimo Giuseppe De Cesaris, Lorenzo Antonelli, Iolanda Francolini, Alessandra Gentili

“…Among all the polymers, γ-CDNS exhibited the highest efficiency, achieving recoveries averaged on all the analytes of 67% and 79% at the concentration of 0.5 and 5 µg/L, respectively. …”
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Novel electrochemical sensor based on poly([Cu(H2O)2P2]I2)/GCE for the determination of trimethoprim in clinical samples and cow's milk samples by Melaku Metto, Alemu Tesfaye, Minaleshewa Atlabachew, Atakilt Abebe

“…A Novel bioanalytical detector based on Poly(Diaquabis(1,10-phenanthroline copper (II) Iodide) (poly([Cu(H2O)2P2]I2)/GCE) has been fabricated by potentiodynamic polymerization of [Cu(H2O)2P2]I2. The synthesized complex and the fabricated electrodes showed a promising electrocatalytic behavior towards the electrooxidation of Trimethoprim (TPM). …”
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Development of a Chemiluminescence Immunoassay for Quantification of 25-Hydroxyvitamin D in Human Serum by Shuang Han, Wuxian Qiu, Junlan Zhang, Zhonghu Bai, Xiao Tong

“…The method established shows good thermostability and performance. The limitation of detection (LoD) is 1.43 ng/mL. The intra-assay coefficient of variation (CV) is 3.66%–6.56%, the interassay CV is 4.19%–7.01%, and the recovery rate is 93.22%–107.99%. …”
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Research on intelligent segmentation method of coal body CT image fracture based on CBAM-UNet by Shuang Song, Yilun Xue, Suinan He, Xiang Ji, Xinshuang Cao, Guoying Liu, Juntao Chen, Hongjiao Chen

“…Current coal CT image fracture segmentation faces multiple challenges, including complex fracture morphology, difficulties in micro-fracture detection, and similar gray values between fractures and coal matrices, resulting in low efficiency of traditional segmentation methods. …”
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Calibration-free picosecond LIPS for quantifying heavy metals in soils near Egyptian industrial sites by Mohamed El-Saeed, Walid Tawfik, Ahmed A. I. Khalil, Manal Mubarak, Mohamed Fikry

“…Abstract Excessive fertilizer and chemical usage have led to soil contamination by toxic heavy metals near the Abu-Zaabal industrial complex in Egypt. We introduce a groundbreaking calibration-free methodology using ultrafast Picosecond Laser-Induced Plasma Spectroscopy (CF-Ps-LIPS) for quantifying contaminant elements (Cd, Zn, Fe, Ni) in soils near Egypt’s Abu-Zaabal industrial complex. …”
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A growth posture identification method of immature peaches in natural environments by Jidong Lv, Liangliang Niu, Ying Han, Xiaoqin Sun, Lingyun Wang, Hailong Rong, Ling Zou

“…The network models employed in single detection algorithms exhibit complexity and pose challenges for deployment on mobile terminals as they heavily rely on the availability of labeled samples. …”
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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…In particular, on the Houston-2013 dataset, the results for OA and AA are 1.00 and the kappa coefficient is 0. 976. The results highlight the robustness and efficiency of the proposed model in coastal area applications, where accurate and reliable spectral-spatial classification is crucial for monitoring and environmental management.…”
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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks by Vikram S. Ingole, Ujwala A. Kshirsagar, Vikash Singh, Manish Varun Yadav, Bipin Krishna, Roshan Kumar

“…Thus, the fusion of Convolutional Neural Networks with Recurrent Neural Networks and Graph Networks enhances the efficiency of the detection process.…”
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TCCFNet: a semantic segmentation method for mangrove remote sensing images based on two-channel cross-fusion networks by Lixiang Fu, Yaoru Wang, Shulei Wu, Jiasen Zhuang, Zhongqiang Wu, Jian Wu, Huandong Chen, Yukai Chen

“…Furthermore, TCCFNet excels in distinguishing similar categories, handling complex backgrounds, and improving boundary detection. …”
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The 2015 guidelines for the laboratory diagnosis of rheumatic diseases by the All-Russian Public Organization «Association of Rheumatology of Russia» by E. N. Aleksandrova, A. A. Novikov, E. L. Nasonov

“…The important laboratory markers of RDs are acutephase indicators (erythrocyte sedimentation rate, C-reactive protein, etc.) that can assess the inflammatory activity of the disease, its progression pattern, and prognosis during the chronic inflammatory process, as well as therapeutic efficiency. Other laboratory biomarkers (immunoglobulins, immune complexes, cryoglobulins, complement components, cytokines, endothelial activation markers, lymphocyte subpopulations, genetic markers, bone and cartilage tissue metabolic parameters, etc.) are of less clinical value than autoantibodies and acute inflammatory phase parameters in diagnosing RD.…”
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Subtle concentration changes in zinc hold the key to fibrillation of α-synuclein: an updated insight on the micronutrient’s role in prevention of neurodegenerative disorders by Samudra Prosad Banik, Debasis Bagchi, Debasis Bagchi, Debasis Bagchi, Pradipta Banerjee, Sanjoy Chakraborty, Manashi Bagchi, Chaitali Bose, Debasmita De, Sreemoyee Saha, Sreemoyee Saha, Sudipta Chakraborty

“…Over the years, a daunting task for researchers has been the identification of the complex set of conditions which govern the Substantia nigra microenvironment for transformation of α-synuclein from a functional and grossly structureless chaperone to toxic cross-β fibrils. …”
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Is Ultrasonography an Effective Method for Diagnosing Degenerative Changes in the Temporomandibular Joint? by Barbara Wojciechowska, Arkadiusz Szarmach, Adam Michcik, Maciej Sikora, Barbara Drogoszewska

“…Background: The accurate diagnosis of degenerative joint diseases (DJDs) of the temporomandibular joint (TMJ) presents a significant clinical challenge due to their progressive nature and the complexity of associated structural changes. These conditions, characterized by cartilage degradation, subchondral bone remodeling, and eventual joint dysfunction, necessitate reliable and efficient imaging techniques for early detection and effective management. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…Abstract Malware has become a big issue for digital infrastructure with the growing complexity and frequency of intrusions; it usually avoids conventional detection systems via obfuscation and dynamic behaviour patterns. …”
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Non-Linear Synthetic Time Series Generation for Electroencephalogram Data Using Long Short-Term Memory Models by Bakr Rashid Alqaysi, Manuel Rosa-Zurera, Ali Abdulameer Aldujaili

“…Increasing these values did not improve MSE or cross-correlation and unnecessarily increased computational complexity. The proposed model’s performance was evaluated using the mean-squared error (MSE), Pearson’s correlation coefficient, and the power spectra of the synthetic and original signals, demonstrating the suitability of the proposed method for this application. …”
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