Advances in Digital Signature Algorithms: Performance, Security and Future Prospects by Lyu Shuhan

“…This paper also discusses recent optimizations, including the Batch and Multi- prime RSA for greater efficiency, the Batch DSA for improved verification speed, and the EdDSA for the enhanced ECDSA performance on Edwards curves. …”
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scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization by Bowen Zhao, Kailu Song, Dong-Qing Wei, Yi Xiong, Jun Ding

“…Additionally, scCobra supports batch effect simulation, advanced multi-omic integration, and scalable processing of large datasets. …”
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Optimization Strategy for Spatiotemporal Cooperative Operation of Multiple Data Centers Considering Load Response Characteristics by Shilin XIANG, Yue XIANG, Yanliang WANG, Yu LU

“…Then, the temporal and spatial migration characteristics of batch loads are analyzed to establish a multi-data center demand response mechanism. …”
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scRDEN: single-cell dynamic gene rank differential expression network and robust trajectory inference by Han Zhang, Wei Zhang, Xiaoying Zheng, Yuanyuan Li

“…It is particularly noteworthy that scRDEN method yielded exceptional results when applied to the large-scale, multi-branched, double-batch mouse dentate gyrus data. …”
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Modeling and Optimization of Cable Production Scheduling by Incorporating an Ant Colony Algorithm by Changbiao Zhu, Chongxin Wang, Zhonghua Ni, Xiaojun Liu, Abbas Raza

“…With the development of small batch and multi-batch service production mode, manual scheduling by hand has been difficult to adapt to the production of a large number of complex orders. …”
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Establishment and Application of TaqMan qPCR Detection Method for Human DNA Contamination in DNA Laboratory by SHEN Gao-fang, ZHOU Yong-song, ZHANG Jian-qiu, JI Shi-you, WU Ying-feng, SHANG Hao, ZHU Bo-feng

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Image recognition method based on internet of things and artificial intelligence technology by Hongwei Zhang

“…Compared with traditional image recognition methods, group normalization is more accurate than convolutional neural network models under batch normalization. Under the same conditions of improving the overall performance of the network, the accuracy of using group normalized convolutional neural networks is 7 % higher than that of batch normalized convolutional neural networks.…”
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Adaptive electricity consumption forecasting approach for universal environments by Shiqi Zhou, Saisai Ni, Yifeng Han, Zhekang Dong, Chun Sing Lai

“…Our model incorporates a joint loss function combining point and probability forecasting evaluations to accurately quantify online batch errors. It also features a buffer to store batch data showing pattern changes and dynamically adjusts weights to counteract concept drift. …”
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stDyer enables spatial domain clustering with dynamic graph embedding by Ke Xu, Yu Xu, Zirui Wang, Xin Maizie Zhou, Lu Zhang

“…Its dynamic graphs adaptively link units based on Gaussian Mixture assignments, improving clustering and producing smoother domain boundaries. stDyer’s mini-batch strategy and multi-GPU support facilitate scalability to large datasets. …”
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scFocus: Detecting branching probabilities in single-cell data with SAC by Chunlin Chen, Zeyu Fu, Jiajia Yang, Huaqing Chen, Jiabao Huang, Shitian Qin, Chuhuai Wang, Xiaoqian Hu

“…Furthermore, scFocus is applied to ten single-cell datasets, including small-scale datasets, common-scale datasets, and multi-batch datasets. This demonstrates its applicability on different types of datasets and showcases its potential in discovering biological changes due to experimental treatments through multi-batch dataset processing. …”
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Recovery Emas dalam Sistem Au tunggal dan Sistem Multilogam (Au/Cu) Menggunakan Adsorben Asam Askorbat Termodifikasi Magnetit by Maya Rahmayanti

“…Meanwhile, the effect of the Cu metal ions content on Fe3O4/AA capacity for gold recovery was studied in a multi-metal system. The method used in this research was the batch method. …”
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Swin‐YOLOX for autonomous and accurate drone visual landing by Rongbin Chen, Ying Xu, Mohamad Sabri bin Sinal, Dongsheng Zhong, Xinru Li, Bo Li, Yadong Guo, Qingjia Luo

“…Secondly, based on the UAV‐VPD database, a batch of actual acquisition data is added to build the UAV‐VPDV2 database by AI annotation method. …”
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Stem Cells and Organoids: A Paradigm Shift in Preclinical Models Toward Personalized Medicine by Eleanor Luce, Jean-Charles Duclos-Vallee

“…However, challenges persist, including standardization of protocols, batch-to-batch variability, and scalability. Promising solutions involve automation, high-throughput screening, and multi-omics integration, which collectively enhance reproducibility and translational relevance. …”
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Slope Stability Prediction Based on Incremental Learning Bayesian Model and Literature Data Mining by Suhua Zhou, Wenjie Han, Minghua Huang, Zhiwen Xu, Jinfeng Li, Jiuchang Zhang

“…The ILB model’s performance is assessed using accuracy, area under the ROC curve (AUC), generalization ability, and computation time and compared to four common batch learning models: Random Forest (RF), Gradient Boosting Machine (GBM), Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP). …”
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Édito - L’autorité et le pouvoir éducatifs à l’épreuve des politiques d’éducation by Camille Roelens, Stéphan Mierzejewski

“…By focusing on management, supervisory or training personnel, and by emphasizing the multi-referentiality of the sciences of education and training, the texts in this file take up this question at its roots by considering its implications on the most global scale, as well as its most practical and daily professional incidences. …”
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Effect of Time and Temperature on Moisture Content, Shrinkage, and Rehydration of Dried Onion

“…In this paper, the experimental data of the onion drying process by a batch cabinet dryer is investigated. Obtained experimental data including moisture content, shrinkage, and rehydration via random factorial scheme are analyzed. …”
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Investigation of cadmium removal using tin oxide nanoflowers through process optimization, isotherms and kinetics by Selim Gürsoy, Miray Bombom, Buse Tuğba Zaman, Fatma Turak, Sezgin Bakırdere, Elif Öztürk Er

“…The results demonstrated that adsorption of cadmium onto the surface of SnO2 nanoparticles is influenced by both monolayer adsorption and multi-site interactions. These findings indicate that SnO2 nanoparticles are suitable for removing cadmium from aqueous solutions in batch processes.…”
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Adsorption of Copper, Zinc and Nickel Ions from Single and Binary Metal Ion Mixtures on to Chicken Feathers by Sameer Al-Asheh, Fawzi Banat, Dheaya‘ Al-Rousan

“…In the present work, binary systems composed of copper, zinc and nickel ions were selected as examples of heavy metal ion mixtures and tested via batch adsorption processes using chicken feathers as an adsorbent. …”
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Design and implementation of a 0.8~18 GHz ultra-wideband receiver module by Wang Yi

“…Through above steps, the receiver module is easily manufactured, thus batch production efficiency is improved.…”
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Towards edge-collaborative, lightweight and privacy-preserving classification framework by Jinbo XIONG, Yongjie ZHOU, Renwan BI, Liang WAN, Youliang TIAN

“…Aiming at the problems of data leakage of perceptual image and computational inefficiency of privacy-preserving classification framework in edge-side computing environment, a lightweight and privacy-preserving classification framework (PPCF) was proposed to supports encryption feature extraction and classification, and achieve the goal of data transmission and computing security under the collaborative classification process of edge nodes.Firstly, a series of secure computing protocols were designed based on additive secret sharing.Furthermore, two non-collusive edge servers were used to perform secure convolution, secure batch normalization, secure activation, secure pooling and other deep neural network computing layers to realize PPCF.Theoretical and security analysis indicate that PPCF has excellent accuracy and proved to be security.Actual performance evaluation show that PPCF can achieve the same classification accuracy as plaintext environment.At the same time, compared with homomorphic encryption and multi-round iterative calculation schemes, PPCF has obvious advantages in terms of computational cost and communication overhead.…”
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