CRISPR-Cas9-based one-step multiplexed genome editing through optimizing guide RNA processing strategies in Pichia pastoris by Kaidi Chen, Gulikezi Maimaitirexiati, Qiannan Zhang, Yi Li, Xiangjian Liu, Hongting Tang, Xiang Gao, Bo Wang, Tao Yu, Shuyuan Guo

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Leveraging Edge Intelligence for Solar Energy Management in Smart Grids by Trong-Minh Hoang, Tuan-Anh Pham, van-Nhan Nguyen, Duc-Thang Doan, Nhu-Ngoc Dao

“…The proposed model leveraged TCN’s capability to capture long-range temporal dependencies and GRU’s efficiency in sequential data processing. To optimize performance for edge computing environments, we employed Neural Architecture Search, model pruning, and quantization techniques, reducing both model size and complexity. …”
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Effects of Hybridizing the U-Net Neural Network in Traffic Lane Detection Process by Aron Csato, Florin Mariasiu

“…Future research should investigate model compression techniques, such as knowledge distillation, pruning, or quantization, to improve efficiency without sacrificing accuracy.…”
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Foveal vision reduces neural resources in agent-based game learning by Runping Chen, Gerd J. Kunde, Louis Tao, Louis Tao, Andrew T. Sornborger

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Future network model for integrated collaboration of communication, computing, caching and intelligence by HU Yujiao, HUANG Tao, JIA Qingmin, XIE Renchao, LIU Yunjie

“…Using the on-demand scheduling of multiple automated guided vehicle (AGV) in intelligent manufacturing as a prototype, a qualitative and quantitative analysis was performed to demonstrate the positive impacts of 3CI-CoNet on enhancing business efficiency. …”
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Future network model for integrated collaboration of communication, computing, caching and intelligence by HU Yujiao, HUANG Tao, JIA Qingmin, XIE Renchao, LIU Yunjie

“…Using the on-demand scheduling of multiple automated guided vehicle (AGV) in intelligent manufacturing as a prototype, a qualitative and quantitative analysis was performed to demonstrate the positive impacts of 3CI-CoNet on enhancing business efficiency. …”
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A Decısıon Model Based on Artıfıcıal Intellıgence for Dısease Predıctıon And Patıent Treatment Process Plannıng by Serkan Derici, Nuri Özgür Doğan

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A Quantified Analysis of Lean First Then Automate for a Synergetic Effect by Sharmin Akter Urmee, Mosharraf Hossain

“…ABSTRACT Lean manufacturing has become a buzzword for the past few years due to its capability to reduce waste and make the system more efficient. To meet the numerous demands of consumers, companies are moving toward Industry 4.0, which can be accomplished through automation. …”
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CRISPR/Cas12a-based genome editing for cyanophage of Anabeana sp. by Shengjian Yuan, Yanchen Li, Chunhua Kou, YiChen Sun, Yingfei Ma

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Role of Charge Density of Polycations in DNA Complexation and Condensation by Jianxiang Huang, Yangwei Jiang, Dong Zhang, Jingyuan Li, Youqing Shen, Ruhong Zhou

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Design and Optimization of an FPGA-Based Infrared Dim Small Target Detection Network Under a Sky Cloud Background by Yongbo Cheng, Xuefeng Lai, Yucheng Xia

“…The network enhances detection performance through sequential-differential inputs, false-alarm-object learning, and multi-anchor assignment while reducing computational overhead through sequential-differential acceleration and convolutional pooling. Deployment efficiency is improved via image channel optimization, mixed quantization, and refining the infrared image calibration set. …”
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Comparative Analysis of Energy Consumption and Performance Metrics in Fuel Cell, Battery, and Hybrid Electric Vehicles Under Varying Wind and Road Conditions by Ahmed Hebala, Mona I. Abdelkader, Rania A. Ibrahim

“…The results are presented for various trip scenarios, employing quantitative and qualitative analysis methods to identify the most efficient vehicle configuration, also validated through the simulation of three commercial EVs. …”
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Mold-glass interface adhesion mechanisms in precision glass molding by Hanhan Zhao, Liangchi Zhang

“…Precision glass molding (PGM) enables high-accuracy, efficient production of complex optical components, yet interfacial adhesion between mold and glass surfaces remains a significant barrier, impacting both quality and mold durability. …”
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Exploration of Unsupervised Deep Learning-Based Gear Fault Detection for Wind Turbine Gearboxes by Bartłomiej Kiczek, Michał Batsch

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High-speed railway track components inspection framework based on YOLOv8 with high-performance model deployment by Youzhi Tang, Yu Qian

“…Our research introduces an efficient model inference pipeline based on a producer-consumer model, effectively utilizing parallel processing and concurrent computing to enhance performance. …”
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Dual-Branch Neural Network-Based In-Loop Filter for VVC Intra Coding Using Spatial-Frequency Feature Fusion by Zhen Feng, Xu Liu, Cheolkon Jung

“…Thus, the dual-branch architecture processes the input data efficiently according to its unique characteristics, while reducing mutual interference. …”
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Prevention and Control of Blood Stream Infection Using the Balanced Scorecard Approach by Rinawati Rohsiswatmo, Sarah Rafika, Putri M.T Marsubrin

“… Aim: to obtain formulation of an effective and efficient strategy to overcome blood stream infection (BSI). …”
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Structural Characterization of Lignin and Its Degradation Products with Spectroscopic Methods by Yao Lu, Yong-Chao Lu, Hong-Qin Hu, Feng-Jin Xie, Xian-Yong Wei, Xing Fan

“…Thus, the elucidation of structural features of lignin is important for the utilization of lignin in high efficient ways. Up to date, degradation of lignin with destructive methods is the main path for the analysis of molecular structure of lignin. …”
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Prevention and Control of Blood Stream Infection Using the Balanced Scorecard Approach by Rinawati Rohsiswatmo, Sarah Rafika, Putri M.T Marsubrin

“… Aim: to obtain formulation of an effective and efficient strategy to overcome blood stream infection (BSI). …”
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An anatomically enhanced and clinically validated framework for lung abnormality classification using deep features and KL divergence by Suresh Kumar Samarla, Maragathavalli P

“…The lightweight pipeline ensures computational efficiency (∼0.06s/image) and clinical interpretability by preserving diagnostic features, enhancing visibility, and enabling quantitative analysis. 1. …”
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