Laryngeal ultrasound for the prediction of severe laryngomalacia. by Arisa Duantaweesook, Vannipa Vathanophas, Kitirat Ungkanont, Archwin Tanphaichitr, Thanakrit Wannarong, Ramida Amornsitthiwat

“…LUS demonstrated diagnostic efficiency for laryngomalacia in 7 out of 19 infants, with a sensitivity of 26.92%, specificity of 100%, negative predictive value of 47.22%, and positive predictive value of 100%. …”
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Variance Reduction Optimization Algorithm Based on Random Sampling by GUO Zhenhua, YAN Ruidong, QIU Zhiyong, ZHAO Yaqian, LI Rengang

“…Furthermore, a dynamic sample size adjustment strategy based on the performance evaluation model of computing unit is designed to improve the training efficiency. The effectiveness of the algorithm is evaluated via numerical simulation experiments on real datasets of varying sizes. …”
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HyperSight: A Precise Decoding Algorithm for VLC With Mobile-Phone Camera by Yuanmei Meng, Xiongbin Chen, Tianhao Pan, Tong Shen, Hongda Chen

“…The selection of the column matrix and the fitting of the function are not only time-consuming but also error-prone, leading to low decoding efficiency and high bit error rate (BER). While HyperSight calculates characteristic grayscale matrix to avoid column matrix selection and uses critical grayscale to replace the function fitting to decode the image. …”
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A lightweight fabric defect detection with parallel dilated convolution and dual attention mechanism by Zheqing Zhang, Kezhong Lu, Gaoming Yang

“…To increase detection efficiency, a variety of automatic fabric defect detections have been developed. …”
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Lightweight YOLO models for object detection based on low-rank decomposition by LIN Delü, LIU Chang, CHEN Qi, ZENG Yang, HE Kun

“…Lastly, a new convolution sequence was fused to replace the original convolutional layer. Experiments were conducted on the proposed parameter compression method based on low-rank decomposition, using public datasets and three models, i.e., YOLOv5-l, YOLOv8-x, and YOLOX-x. …”
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IDENTIFYING THE HR EXPECTATIONS – PILLAR FOR OPTIMIZING THE LEADERSHIP STYLE by Elena Mihaela ILIESCU, Florin LUNGU

“…The traditional approach to leadership, based on rigid directives, is increasingly being replaced by personalized strategies centred on employee needs. …”
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Defect Detection of Gas Insulation Switch by Infrared Thermography Technology With an Improved Yolo Algorithm by Ma Tianci, Chen Xiangping, Li Bo, Bai Jie

“…The proposed method modifies the YOLOv7 framework by replacing standard CBS modules with Fused-MBConv layers in the backbone to improve feature extraction efficiency while integrates a coordinate attention (CA) mechanism in the neck layer to enhance spatial defect recognition. …”
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The Lift Enhancement Effect of a New Fluidic Oscillator on High-Lift Wings by Tong Zhao, Yalei Bai

“…In this study, a novel fluidic oscillator is proposed that achieves frequency decoupling by replacing the conventional feedback channel with synthetic jets, thereby enabling modulation of oscillation frequency at a constant momentum coefficient. …”
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Priority directions of the state support of the development of agro-industrial production of the Krasnodar territory under the conditions of the sanction regime by S. Y. Andreev, T. A. Bochkova, S. A. Mamiy

“…The purpose of the study is to determine the directions for stimulating the development of agribusiness in the region by replacing imports. The article sets forth recommendations on the formation of the organizational and economic mechanism for the implementation of a regional program for the import substitution of agricultural products in the Krasnodar Territory, aimed at stimulating the development of agrarian business entities in the region. …”
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FRPNet: A Lightweight Multi-Altitude Field Rice Panicle Detection and Counting Network Based on Unmanned Aerial Vehicle Images by Yuheng Guo, Wei Zhan, Zhiliang Zhang, Yu Zhang, Hongshen Guo

“…The architecture integrates three core innovations: a CSP-ScConv backbone with self-calibrating convolutions for efficient multi-scale feature extraction; a Feature Pyramid Shared Convolution (FPSC) module that replaces pooling with multi-branch dilated convolutions to preserve fine-grained spatial information; and a Dynamic Bidirectional Feature Pyramid Network (DynamicBiFPN) employing input-adaptive kernels to optimize cross-scale feature fusion. …”
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Ship crack detection method based on lightweight fast convolution and bidirectional weighted feature fusion network by Chong WANG, Yuhui ZHU

“…ObjectiveAs traditional ship crack detection methods based on artificial visual inspection and ultrasonic methods in ship repair and inspection processes have the characteristics of low efficiency, high cost and high danger, a ship crack detection method based on deep learning is proposed. …”
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Rice disease detection method based on multi-scale dynamic feature fusion by Qian Fan, Runhao Chen, Bin Li

“…Additionally, an efficient multi-scale feature fusion module (EMFFM) is devised, improving both the computational efficiency and feature extraction capabilities of the model, while simultaneously reducing the number of parameters and memory footprint. …”
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Sorption cable sensor with large sensing range and fields of its application by S. A. Kudzh, V. S. Kondratenko, A. Yu. Rogov, Yu. I. Sakunenko, E. A. Druzhinin

“…An alternative solution is proposed - a sorption cable sensor with a large sensitivity range, which, as a leak detector, can be placed anywhere in 3D space where leakage is most likely, and as a linear humidity sensor, it can replace point sensors in an extended control zone. …”
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Effects of Salicornia-supplemented wheat straw on the biological yield, amino and fatty acids of elm oyster mushroom, (Hypsizygus ulmarius Elm A) by Martha Hausiku-Ikechukwu, Raaruka Uaravi, Veronica Amalia Howoses, Hupenyu Allan Mupambwa

“…Abstract The study examined the impact of Salicornia supplementation on the biological efficiency and biochemical properties of white Elm oyster mushrooms, Hypsizygus ulmarius. …”
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SAGE-NET—Reconceiving Edge Intelligence Using Attention-Based Deep Learning Framework for Effective Classification of Electrocardiogram (ECG) in WSN-IoT Environment by P. Vinoth Kumar, C. N. Marimuthu

“…To highlight the strengths of the proposed framework, efficiency evaluations were made with other deep learning (DL) approaches for edge devices. …”
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Centrifuge-free cell radiolabeling using acoustophoresis by Stephen S. Adler, Emma Stevenson, Julia Alsveds, Peter L. Choyke, Noriko Sato

“…The AcouWash 2 successfully replaced the culture medium with a protein-free buffer, as required for 89Zr-oxine cell labeling. …”
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Route Optimization of Hazardous Material Railway Transportation Based on Conditional Value-at-Risk Considering Risk Equity by Liping Liu, Shilei Sun, Shuxia Li

“…This study develops a novel CVaRE model that replaces fixed threshold constraints with a dynamic risk equity goal, providing greater flexibility in risk distribution adjustments. …”
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Design of Arduino Computer Numerical Control Machine. by Mujurizi Frank

“…This paper introduces the design of an affordable computer numerical control machine that can be used for cutting, engraving and marking on wood, acrylic and milling of wooden pieces. Machines replaced the hard to master skill of hand filing which would rake a lot of time to create a design in a work piece. …”
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PdYOLO: A Lightweight Algorithm for Detecting Peach Fruits Against a Peach Tree Background by Jiajun Zhang, Jialin Zhang, Kazuki Kobayashi

“…Finally, a new head layer P2-SLD was designed, which replaced the original detection head with a shared lightweight detection head SLD, introduced the P2 layer and removed the P5 layer, which improved the lightweight level of the model, improved the processing efficiency and reduced the energy consumption while ensuring the detection accuracy. …”
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Improvement of the technology of installation of «pillows» under the foundation of CTS 10 / 0.4 kV kiosk type by M. V. Borodin, S. Yu. Zakharov, R. P. Belikov, V. I. Bobrovsky

“…The use of the data presented in the article on the number of reconstructed, newly installed and replaced 10 / 0.4 kV transformer substations will allow scientists and specialists to develop and propose new methods of reconstruction and construction technologies for various transformer substations, as well as determine the economic efficiency of new foundations for transformer substations. …”
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