Electrospun poly(3-hydroxybutyrate-co-3-hydroxyvalerate) scaffolds – a step towards ligament repair applications by Thammarit Khamplod, James B. Winterburn, Sarah H. Cartmell

“…Electrospun PHBV can be produced with low batch variability and tailored, application specific properties, giving these biomaterials promise in tissue scaffold applications where aligned fibre networks are desired, such as ACL regeneration.…”
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Multi-Stage Adversarial Defense for Online DDoS Attack Detection System in IoT by Yonas Kibret Beshah, Surafel Lemma Abebe, Henock Mulugeta Melaku

“…The existing defence technique primarily focuses on batch learning- based DDoS attack detection systems, that are not equipped to handle multiple and unknown adversarial attacks in real time. …”
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Continual Test-Time Adaptation for Robust Remote Photoplethysmography Estimation by Hyunwoo Lee, Haechang Lee, Byung Hyun Lee, Se Young Chun

“…Moreover, continuous adaptation across multiple domains is also challenging due to the dynamic environmental changes such as lighting transitions or continuous motions. …”
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Characteristics of phosphorus sorption kinetics on sediments at different initial phosphorus concentrations by HUANG Li-dong, CHAI Ru-shan, ZONG Xiao-bo, ZHANG Yong-song

“…Kinetics studies were carried out using an agitated batch method. The kinetics of sorption were followed based on the amounts of P adsorbed at various time intervals. …”
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Aging-Invariant Sheep Face Recognition Through Feature Decoupling by Suhui Liu, Chuanzhong Xuan, Zhaohui Tang, Guangpu Wang, Xinyu Gao, Zhipan Wang

“…Then, a nonlinear feature decoupling module employs a hybrid channel-batch attention mechanism to separate age-related features from identity-specific characteristics. …”
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Dual-stream interactive mechanism with multi-modal hierarchical aggregation transformer for gait recognition by Jinghang Liu, Xiangyuan Xu, Yan Qiu, Chunzhi Wang

“…This mechanism incorporates batch normalization and residual connections to ensure stable and effective feature extraction. …”
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Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Yangchen Li, Lingzhi Zhao, Tianle Wang, Lianghui Ding, Feng Yang

“…We consider a general FL algorithm with configurable parameters, including the number of local iterations, mini-batch sizes, step sizes, aggregation weights, and quantization parameters, and provide a rigorous convergence analysis. …”
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Biomass pyrolysis for biochar production: Study of kinetics parameters and effect of temperature on biochar yield and its physicochemical properties by Nikhill Rambhatla, Tanushka Florence Panicker, Ranjeet Kumar Mishra, Srinivas Kini Manjeshwar, Abhishek Sharma

“…The kinetic study of biomass was performed using a thermogravimetric analyser at dynamic heating rates (10, 30, and 50 °C min−1) in an inert atmosphere. …”
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A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing by Chin-Yi Lin, Tzu-Liang (Bill) Tseng, Tsung-Han Tsai

“…An interpretability layer—using attention visualization or SHAP/LIME—delineates which sensors, logs, or batch identifiers precipitate each drift alert, accelerating root-cause analysis. …”
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Embedded Hardware-Efficient FPGA Architecture for SVM Learning and Inference by B. B. Shabarinath, Muralidhar Pullakandam

“…In this paper, we propose Parallel SMO, a new algorithm that selects multiple violating pairs in each iteration, allowing batch-wise updates that enhance convergence speed and optimize parallel computation. …”
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I porti di Fiumicino. Quale sostenibilità? by Italia Nostra

“…The construction today of two commercial ports, in a stretch of vulnerable coast and subject to an unstable dynamic equilibrium, contrasts enormously with all the principles of sustainability and respect for the environment well recalled even in the Italian Constitution. …”
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Sustainable water treatment using thermally stable natural clay: dual adsorption–thermolysis approach for organic pollutants and nitrate removal by Iyad Dawood, Ahed H. Zyoud, Shaher Zyoud, Ameed Amireh, Samer H. Zyoud, Tae Woo Kim

“…The contaminants investigated include pharmaceutical compounds (phenazopyridine and tetracycline), industrial dyes (methyl orange and methylene blue), and nitrate ions, which are selected on the basis of their persistence, toxicity, and resistance to conventional treatment methods. Batch adsorption experiments conducted under optimized conditions (pH ≈ 4, 25 °C, and pollutant concentrations ranging from 10 to 40 mg/L) revealed high removal efficiencies, ranging between 84% and 93% for organic pollutants and 89% for nitrate. …”
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Analysis of Flow-induced Vibration Characteristics of Fuel Rods Using POD and DMD Methods by MIN Guangyun1, JIANG Naibin1, 2

“…This model serves as the cornerstone for a computational analysis of flow-induced vibration responses utilizing ANSYS Batch, firmly roots in the principles of random vibration theory. …”
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A generalizable framework for urban wetland training samples generation and migration: A case study of global Ramsar Wetland Cities by Zhe Yang, Weiguo Jiang, Xiaogan Yin, Ziyan Ling, Xiaoya Wang, Miaolong Lin, Shuhui Lai, Xiao Li, Qiaozhen Guo, Zhijie Xiao, Ze Zhang, Qiuling Li, Peiyu Yang, Shihui Huang, Xiang Long, Keyi Yang, Kaifeng Peng, Yongbiao Yu, Xuan Liu, Yaheng Sheng, Xiaorui Ren, Xiangdong Yang, Haicheng Tian

“…Implemented on Google Earth Engine (GEE), FKRSM applies dense Sentinel-2 time series and multi-source classification products to extract vegetation-hydrology dynamics, inundation frequency patterns, and geometric attributes of urban wetlands. …”
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Integrating single-cell with transcriptome-proteome Mendelian randomization reveals colorectal cancer targets by Song Wang, Xin Yao, Shenshen Li, Shanshan Wang, Xuyu Huang, Jing Zhou, Xiao Li, Jieying Wen, Weixuan Lan, Yunsi Huang, Hao Li, Yunlong Sun, Xiaoqian Zhao, Qiaoling Chen, Xuedong Han, Ziming Zhu, Xinyue Zhang, Tao Zhang

“…Abstract Background Colorectal carcinogenesis involves dynamic interactions between genetic susceptibility and cellular heterogeneity, yet current studies rarely disentangle causal genes from passive associations. …”
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Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning by Sakhshra Monga, Abhishake Bansal, Ibrahim Aljubayri, Nitin Saluja, Chander Prabha, Shivani Malhotra, Prakash Srivastava, Mohammad Zubair Khan

“…Furthermore, the impact of batch size and K-factor on MARL’s adaptability is evaluated, confirming its ability to optimize phase shift adjustments across diverse network conditions. …”
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Analysis of the results of designing reading electronics of silicon photomultiplier tubes driven by the base matrix crystal MN2XA030 by O. V. Dvornikov, V. A. Tchekhovski, Ya. D. Galkin, A. V. Kunts, V. R. Stempitski, N. N. Prokopenko

“…The parameters were measured on a small batch of chips in the amount of 20 samples. In the process of measuring the main parameters of the amplifier, the signal from the SiPM Photonique equivalent circuit was fed to the amplifier input. …”
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Research on productivity prediction method of infilling well based on improved LSTM neural network: A case study of the middle-deep shale gas in South Sichuan by GUAN Wenjie, PENG Xiaolong, ZHU Suyang, YANG Chen, PENG Zhen, MA Xiaoran

“…Two stage-specific models were constructed, with the number of hidden layer neurons, dropout rate, and batch size determined by the optimal solutions obtained via GWO. …”
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Design and Evaluation of a Crosslinked Chitosan-Based Scaffold Containing Hyaluronic Acid for Articular Cartilage Reconstruction by Salim Hamidi, Mickael Maton, Feng Hildebrand, Valérie Gaucher, Cédric Bossard, Frédéric Cazaux, Jean Noel Staelens, Nicolas Blanchemain, Bernard Martel

“…Hygroscopic and swelling behavior were assessed using dynamic vapor sorption analysis and batch studies. …”
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CpG methylation changes associated with hyperglycemia in type 1 diabetes occur at angiogenic glomerular and retinal gene loci by Xiaojian Shao, Sophie Le Fur, Warren Cheung, Marie-Pierre Belot, Kevin Perge, Natacha Bouhours-Nouet, Candace Bensignor, Lucie Levaillant, Bing Ge, Tony Kwan, Mark Lathrop, Tomi Pastinen, Pierre Bougnères

“…Linear regressions with adjustment to age, sex, treatment duration, blood proportions and batch effects were employed to characterize the relationships between the dynamic changes of DNA methylation and average HbA1c levels. …”
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