Deep learning-based quantitative analysis of glomerular morphology in IgA nephropathy whole slide images and its prognostic implications by Seung Yeon Cho, Yisak Kim, Sehoon Park, Jin Ho Paik, Ho Jun Chin, Jeong Hwan Park, Jung Pyo Lee, Yong-Jin Kim, Sun-Hee Park, Ho-chang Lee, Hyunjeong Cho, Beom Jin Lim, Hyung Woo Kim, Seung Hyeok Han, Heounjeong Go, Chung Hee Baek, Hajeong Lee, Kyung Chul Moon, Young-Gon Kim

“…A deep learning model, based on DeepLabV3Plus and EfficientNet-B3, was developed for segmenting glomeruli and quantifying the morphological features by using digitized whole slide images from seven tertiary hospitals. …”
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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

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Evaluation of Irrigation Management and Plastic Mulch Effects on Water Productivity and Quantitative and Qualitative Yield of Lemon Balm (Melissa officinalis L.) by N. Najafi Iman Abadi, M.A. Gholami Sefidkouhi, S. Shiukhy-Soqanloo

“…Moreover, given the current water scarcity conditions, improving the quantitative and qualitative yield of medicinal plants relies heavily on effective irrigation management and efficient cultivation practices.   …”
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Low-Power Branch CNN Hardware Accelerator with Early Exit for UAV Disaster Detection Using 16 nm CMOS Technology by Yu-Pei Liang, Wen-Chin Chao, Ching-Che Chung

“…This paper presents a disaster detection framework based on aerial imagery, utilizing a Branch Convolutional Neural Network (B-CNN) to enhance feature learning efficiency. The B-CNN architecture incorporates branch training, enabling effective training and inference with reduced model parameters. …”
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Low-Memory-Footprint CNN-Based Biomedical Signal Processing for Wearable Devices by Zahra Kokhazad, Dimitrios Gkountelos, Milad Kokhazadeh, Charalampos Bournas, Georgios Keramidas, Vasilios Kelefouras

“…On the other hand, various DNN compression techniques have been proposed, but exploiting the combination of various compression techniques with the aim of achieving memory efficient DNN models for HAR and CDC tasks remains under-investigated. …”
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Climate, soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern China by Jiao Shi, Minggang Xu, Xinhua He, Huaiping Zhou, Jianhua Li

“…To improve spring maize WP through enhanced soil fertility, the NW region, dry years, and NPK were parallelly optimal, while such WP increases were increased with N rate in NE and NW or planting pattern change in NC, each of them could efficiently benefit for using scarce water resources in dryland northern China and other dryland areas.…”
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Omni directional video coding rate distortion optimization method based on weighted-to-spherically-uniform structural similarity by Yufeng ZHOU, Mei YU, Baozhen DU, Yang SONG, Gangyi JIANG

“…Aiming at the shortcomings of the coding rate distortion model in traditional video coding,considering the characteristics of equal rectangular omnidirectional video,a method of omnidirectional video coding rate distortion optimization based on spherical weighted structural similarity (WS-SSIM) was proposed.By considering the distortion of the internal structural similarity of the projection plane and the relationship between the spherical distortion and the projection plane distortion,the “spherical weighted structural similarity” was proposed to describe the degree of distortion of the planar omnidirectional image local block relative to the viewing sphere,which was applied to the rate-distortion optimization process of omnidirectional video coding and adaptive selection of quantization parameters to improve vision-based coding efficiency.The experimental results show that compared with the HEVC video coding standard HM16.9 test platform,the proposed method can save an average of 24.48% code rate under the same visual quality,which indicates that the method has significant performance for improving the omnidirectional video coding rate distortion performance.…”
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Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards more efficient approaches. Neuromorphic Continual Learning (NCL) appears as an emerging solution, by leveraging the principles of Spiking Neural Networks (SNNs) and their inherent advantages (e.g., sparse spike-driven operations and bio-plausible learning rules) for improving energy efficiency and performance, thereby enabling efficient CL algorithms (e.g., unsupervised learning approach) executed in dynamically-changed environments with resource-constrained computing systems. …”
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Prediction of coal dust particle size after spraying dust reduction in roadway based on orthogonal experiment and regression analysis by Bingyou JIANG, Yuqian ZHANG, Changfei YU, Ben JI, Haoyu WANG, Zhuang LIU

“…The results show that: the coal dust D90 after spray dust reduction decreases with the increase of the distance from the dust source to the spray frame, increases and then decreases with the increase of wind speed, and increases with the increase of water supply pressure, and there is a strong positive correlation between full dust, exhaled dust reduction efficiency and D90, the better the spray dust reduction effect, the larger the coal dust D90 after spray dust reduction; the weighting-based prediction model of coal dust D90 after dust spraying has higher accuracy and smaller error, and can accurately characterize the quantitative relationship between coal dust D90 after dust spraying and three influencing factors, namely, the distance of the spray frame from the dust source, the wind speed of the roadway, and the water supply pressure of the nozzle.…”
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Optimizing Virtual Power Plants Cooperation via Evolutionary Game Theory: The Role of Reward–Punishment Mechanisms by Lefeng Cheng, Pengrong Huang, Mengya Zhang, Kun Wang, Kuozhen Zhang, Tao Zou, Wentian Lu

“…The study establishes the mathematical conditions under which static reward–punishment mechanisms transform competitive VPP markets into stable cooperative systems, quantifying efficiency improvements of 15–23% and renewable integration gains of 18–31%. …”
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Energy Security of Local Government Units in the Face of the Energy Crisis in 2022–2023 by Sławomir Stec, Elżbieta Jadwiga Szymańska, Jolanta Stec-Rusiecka, Kornelia Osieczko-Potoczna, Artur Stec

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PRODUCTIVITY TRAITS OF THE NEW VARIETIES AND PROMISING LINES OF SOFT SPRING WHEAT DEVELOPED BY THE TATARSKY RIA by N. Z. Vasilova, D. F. Askhadullin, D. F. Askhadullin, Е. Z. Bagavieva, М. R. Tazutdinova, I. I. Khusainova, G. R. Nasikhova

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DESIGNING A REWARD MANAGEMENT SYSTEM TO INCREASE EMPLOYEES’ SATISFACTION by Madalina BRUTU

“…This paper starts from the idea that the efficiency of the employees' work depends on the company's reward system and especially on their perception of the rewards granted. …”
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Construction and optimization of quantitative analysis models for pigments in broccoli (Brassica oleracea L. var. italica) based on near-infrared spectroscopy technology by Yijun Zhang, Jianguo Wu, Hao Zhang, Zhiwei Shen, Xiaoyu Bai, Xu Gao, Qiyun Zhu, Yunshuai Huang, Seung-Beom Hong, Zhujun Zhu, Daogen He, Yunxiang Zang

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Identification of powdery mildew resistance quantitative trait loci in melon and development of resistant near-isogenic lines through marker-assisted backcrossing by Chun-San Wang, Ssu-Yu Lin, Jin-Hsing Huang, Hsin-Yi Chang, Di-Kuan Lew, Yu-Hua Wang, Kae-Kang Hwu, Yung-Fen Huang

“…Therefore, identifying PM resistance quantitative trait loci (QTL) and creating trait-associated markers are essential for efficient melon PM resistance improvement through marker-assisted backcrossing (MABC). …”
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One-Point and Multiline Calibration Fiber-Optic Laser-Ablation Spark-Induced Breakdown Spectroscopy for Quantitative Analysis of Elements in Aluminum Alloys by Yipeng Liao, Xiaoyong He, Xi Wu

“…The OP-MLC FO-LA-SIBS system is compact, features simple spectra processing, and offers effective measurement, providing a convenient method for rapid and efficient quantitative analysis of elements in aluminum alloys in industrial production.…”
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Development of a Multiplex Quantitative Polymerase Chain Reaction Assay for the Detection of Duck Enteritis Virus, Goose Parvovirus, and Muscovy Duck Parvovirus by Qian Qiu, Ruiming Hu, Zirui Liu, Linjie Yan, Fan Yang, Xueyan Dai, Chenghong Xing, Huabin Cao

“…Overall, the assay established in the current study presents a rapid, efficient, specific, and sensitive tool for of detecting DEV, GPV, and MDPV.…”
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Phenol Based RNA Isolation is the Optimum Method for Study of Gene Expression in Human Urinary Sediment by Hootan Yazdani, Shiva Kalantari, Mohsen Nafar, Mohammad Naji

“…It seems that isolation procedure using TRIzol, as a phenol based method, is the most efficient, robust and reliable procedure for RNA isolation from urinary sediment cells.…”
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Development of a duplex chamber digital PCR to quantify twelve genetically modified maize events by Eun-Ha Kim, Youn-Sung Cho, Byeori Kim, Yelinn Yoo, Jae-In Lee, Young Soon Kim, Tae-Sung Park

“…Comparative analysis with real-time quantitative PCR (qPCR) showed comparable accuracy; however, cdPCR provided advantages in cost-efficiency and operational simplicity. …”
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Inter-call intervals, but not call durations, adhere to Menzerath’s Law in the submissive vocal bouts of meerkats by Stuart Kyle Watson, Mara Zali, Nikola Falk, Paul Widmer, Marta B Manser

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