Comparison of Image Preprocessing Strategies for Convolutional Neural Network-Based Growth Stage Classification of Butterhead Lettuce in Industrial Plant Factories by Jung-Sun Gloria Kim, Soo Chung, Myungjin Ko, Jihoon Song, Soo Hyun Shin

“…The increasing need for scalable and efficient crop monitoring systems in industrial plant factories calls for image-based deep learning models that are both accurate and robust to domain variability. …”
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Healthcare cybersecurity and cybercrime supply chain risk management by Dr. Jorja Wright

“…This study examines the substantial threat posed by cybercrime to patient safety, data security, and operational efficiency within healthcare logistics and supply chain management. …”
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A performance enhanced distributed computing framework for clustering by local direction centrality upon Apache Spark by Zhipeng Gui, Zichen Huang, Huan Chen, Dehua Peng, Yuhang Liu, Guangyao Fang, Qianxi Lan, Anqi Zhao, Huayi Wu

“…However, it has a quadratic time complexity due to costly K-nearest neighbor search and internal connection operations, which hinder its ability to handle large-scale datasets. To improve its computational efficiency and scalability, we proposed a performance enhanced distributed framework of CDC, named D-CDC, by workflow-level algorithm optimization and distributed computational acceleration. …”
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TMN-Net: A Hybrid 2.5D Multi-Branch Transformer Network for Coronary Artery Segmentation in Cardiac Diagnosis by Bo Zhao, Jianjun Peng, Kai Zhang, Yongyan Fan, Ce Chen, Yang Zhang

“…Coronary artery disease (CAD) continues to be a leading cause of global mortality, necessitating accurate and efficient diagnostic tools for early detection and treatment planning. …”
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A convenient broad-host counterselectable system endowing rapid genetic manipulations of Kluyveromyces lactis and other yeast species by Yanli Zheng, Yuhui Deng, Ping Hu, Shiqing Wang, Jiawen Wu, Siqi Luo, Lei Lei, Jiangke Yang, Wenfang Peng

“…More importantly, counterselection with this system was proven to be functionally efficient also in Saccharomyces cerevisiae and Komagataella phaffii, suggestive of a broader application scope of the system in various yeast hosts. …”
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HCRP-YOLO: A lightweight algorithm for potato defect detection by Haojie Liao, Guanping Wang, Siyu Jin, Yan Liu, Wei Sun, Sen Yang, Lu Wang

“…Therefore, it is an urgent need for precise and efficient automated detection technologies. In recent years, deep-learning based object detection algorithms have gained significant attention in agriculture. …”
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Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…These findings establish CSMCR as a robust, scalable, and computationally efficient IDS balancing strategy tailored for IoT network security.…”
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Cupric Doping Hollow Prussian Blue Nanoplatform for Enhanced Cholesterol Depletion: a Promising Strategy for Breast Cancer Therapy and Metastasis Inhibition by Shuangqian Yan, Panpan Xue, Ying Sun, Tingjie Bai, Sijie Shao, Xuemei Zeng

“…Despite its promise, cholesterol oxidase (ChOx) encounters challenge due to limited catalytic efficiency and susceptibility to harsh conditions. To overcome these hurdles, biocompatible nanoplatforms (Cu‐HPB/C) tailored for efficient cholesterol depletion are introduced. …”
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An enzyme-free electrochemical biosensor for sensitive and specific detection of microRNA-21 based on target recycling amplification and non-linear hybridization chain reaction by Jing Guo, Shou-feng Zhao, Shuang Chen, Wei-qing Song, Li-qun Li

“…Abstract A novel electrochemical biosensor with high amplification efficiency was explored for serum microRNA-21 (miRNA-21) detection. …”
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Advancing truss structure optimization—A multi-objective weighted average algorithm with enhanced convergence and diversity by Divya Adalja, Kanak Kalita, Lenka Čepová, Pinank Patel, Nikunj Mashru, Pradeep Jangir, Arpita

“…The enhanced performance of MOWAA demonstrates its superior capability to efficiently explore the objective space for finding optimal weight-minimization and compliance trade-offs. …”
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A review of the search for AGB stars by Hai-Ling Lu, Hai-Ling Lu, Yin-Bi Li, A-Li Luo, A-Li Luo, A-Li Luo, Zhi-Qiang Zou, Zhi-Qiang Zou, Zhi-Qiang Zou, Xiao-Ming Kong, Zhen-Ping Yi, Hugh R. A. Jones, Jun-Chao Liang, Jun-Chao Liang, Shuo Li, Shuo Li

“…We also explore the possibility of using interpretable machine learning algorithms to discover new features and applying deep learning algorithms to enhance search efficiency. With the advancement of data processing technology and the widespread application of machine learning methods, future AGB star searches will be more accurate and efficient. …”
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Environmental impact assessment of organic Rankine cycle using waste heat from the aluminium industry by Monika Dokl, Gaja Strajnar, Annamaria Vujanović, Jan Puhar, Zdravko Kravanja, Lidija Čuček

“…These findings highlight the importance of the thermal input quality and availability in maximizing ORC performance. With the ability to prioritize electricity, heat, or both, the optimized ORC systems support flexible energy solutions tailored to specific applications and environmental conditions, offering a promising pathway for unburdening the environment through the efficient utilization of industrial waste heat.…”
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A deep learning approach to predict differentiation outcomes in hypothalamic-pituitary organoids by Tomoyoshi Asano, Hidetaka Suga, Hirohiko Niioka, Hiroshi Yukawa, Mayu Sakakibara, Shiori Taga, Mika Soen, Tsutomu Miwata, Hiroo Sasaki, Tomomi Seki, Saki Hasegawa, Sou Murakami, Masatoshi Abe, Yoshinori Yasuda, Takashi Miyata, Tomoko Kobayashi, Mariko Sugiyama, Takeshi Onoue, Daisuke Hagiwara, Shintaro Iwama, Yoshinobu Baba, Hiroshi Arima

“…Three-dimensional culture is inherently characterized by its ability to induce heterogeneous cell populations, making it difficult to maintain constant differentiation efficiency. …”
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Classification of Vaginal Cleanliness Grades through Surface‐Enhanced Raman Spectral Analysis via The Deep‐Learning Variational Autoencoder–Long Short‐Term Memory Model by Jia‐Wei Tang, Xin‐Ru Wen, Hui‐Min Chen, Jie Chen, Kun‐Hui Hong, Quan Yuan, Muhammad Usman, Liang Wang

“…Among all algorithms, the VAE–LSTM algorithm demonstrates the best prediction ability and time efficiency. Additionally, blind test datasets yielded an overall accuracy of 85%. …”
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Identifying dominant quinones in digested sludge at trace levels using online supercritical fluid extraction–liquid chromatography by Farida Hanum, Mona F. A. Dawood, Yoichi Atsuta, Hiroyuki Daimon

“…Consequently, it is essential to develop rapid and efficient methods to analyze microbial community structure in environmental samples containing diverse microorganisms in trace amount. …”
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Triple Design Strategy for Quinoxaline-Based Hole Transport Materials in Flexible Perovskite Solar Cells by Yuanqiong Lin, Zeyuan Gao, Xiaoshang Zhong, Yinghua Lu, Song Tu, Xin Li

“…Molecular design strategies such as noncovalent conformational locks, self-assembly, and D-A molecular skeletons have been extensively used to devise efficient and stable hole transport materials. Nevertheless, most of the existing excellent examples involve only single or dual strategies, and triple strategies remain scarcely reported. …”
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CPFT-MOSA: A Comprehensive Parallel Fault-Tolerant Multi-Objective Simulated Annealing Framework for UAV-Assisted Edge Computing in Smart City Traffic Management by Ahmed Shamil Mustafa, Salman Yussof, Nurul Asyikin Mohamed Radzi

“…A key challenge in these systems is efficiently distributing computational tasks across available edge nodes while ensuring system reliability and performance, particularly for resource-intensive applications like object detection. …”
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All‐Electric Mimicking of Synaptic Plasticity Based on the Noncollinear Antiferromagnetic Device by Cuimei Cao, Wei Duan, Xiaoyu Feng, Yan Xu, Yihan Wang, Zhenzhong Yang, Qingfeng Zhan, Long You

“…Abstract Neuromorphic computing, which seeks to replicate the brain's ability to process information, has garnered significant attention due to its potential to achieve brain‐like computing efficiency and human cognitive intelligence. …”
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Global optimization of economic load dispatch in large scale power systems using an enhanced social network search algorithm by Mohamed H. Hassan, Salah Kamel, Francisco Jurado, Umberto Desideri

“…The primary objective of Economic Load Dispatch (ELD) is to determine the most efficient distribution of power among generating units while considering various constraints, such as minimum and maximum power output, transmission line capacity, and reserve requirements. …”
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Build and application of automatic classification model of land damage in the middle section of Tianshan Mountains by Zizhao ZHANG, Peizhi LIU, Yang HU, Kai CHEN, Junpeng HUANG, Guangming SHI, Yanyang ZHANG, Runsen LAI, Jianhua ZHU, Xueye WANG, Weinan CHEN

“…In order to solve the problems of low efficiency of mine land damage monitoring and traditional remote sensing interpretation relying on manual experience, this paper proposes an automatic classification model of remote sensing image land damage based on neural network-SENetV2-COT-DeepLabV3, which is based on the DeepLabV3 model and integrates the Contextual Transformer (COT) module and the SENetV2 module, so as to enhance the ability of context feature extraction and channel attention mechanism. …”
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