A Collision Avoidance Method for Intelligent Ship Based on the Improved Bacterial Foraging Optimization Algorithm by Xingzhong Wang, Xinghua Kou, Jinfeng Huang, Xianchun Tan

“…The bacterial foraging optimization algorithm (BFOA) is an intelligent population optimization algorithm widely used in collision avoidance problems; however, the BFOA is inappropriate for the intelligent ship collision avoidance planning with high safety requirements because BFOA converges slowly, optimizes inaccurately, and has low stability. …”
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Current Challenges in Bacterial Transcriptomics by Suhyung Cho, Yoobok Cho, Sooin Lee, Jayoung Kim, Hyeji Yum, Sun Chang Kim, Byung-Kwan Cho

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An Adaptive Bacterial Foraging Optimization Algorithm with Lifecycle and Social Learning by Xiaohui Yan, Yunlong Zhu, Hao Zhang, Hanning Chen, Ben Niu

“…Bacterial Foraging Algorithm (BFO) is a recently proposed swarm intelligence algorithm inspired by the foraging and chemotactic phenomenon of bacteria. …”
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Unleashing the Power of Artificial Intelligence-Driven Drug Discovery in Streptomyces by Wei-Shan Ang, Jodi Woan-Fei Law, Yatinesh Kumari, Vengadesh Letchumanan, Loh Teng-Hern Tan

“…Fortunately, artificial intelligence (AI) and machine learning (ML) models enable rapid exploration and prediction of potential antibiotic compounds, increasing the probability of discovering new antibacterial compounds. …”
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I-PD Controller Tuning for Unstable System Using Bacterial Foraging Algorithm: A Study Based on Various Error Criterion by V. Rajinikanth, K. Latha

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Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform by Jan Benedict Spannenkrebs, Aron Eiermann, Thomas Zoll, Silke Hackenschmidt, Johannes Kabisch, Johannes Kabisch, Johannes Kabisch

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Resveratrol-derived carbon dots integrated into gelatin/chitosan multifunctional films for intelligent packaging by Tianxin Fu, Yuchao Feng, Shu Zhang, Yanan Sheng, Changyuan Wang

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Optimal Commissioning of Power Plant Units by Including an Energy Storage System and Demand-Side Program Using a Hybrid Bacterial Foraging and Honey Bee Optimization Method by Afshar Shokri, Hamid Shakibi, Behrooz Sobhani

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Understanding phage BX-1 resistance in Vibrio alginolyticus AP-1 and the role of quorum-sensing regulation by Xiaoyu Li, Xin Liu, Tianyi Ma, Haochen Su, Bingrui Sui, Lili Wang, Bilal Murtaza, Yongping Xu, Na Li, Demeng Tan

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Effects of carbon sources and temperature on the formation and structural characteristics of food-related Staphylococcus epidermidis biofilms by Mingming Zou, Donghong Liu

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NERVE 2.0: boosting the new enhanced reverse vaccinology environment via artificial intelligence and a user-friendly web interface by Andrea Conte, Nicola Gulmini, Francesco Costa, Matteo Cartura, Felix Bröhl, Francesco Patanè, Francesco Filippini

“…Conclusions With its redesigned and updated environment, NERVE 2.0 allows customisable and refinable bacterial protein vaccine analyses to all different kinds of users.…”
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SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

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Identification of Staphylococcus aureus, Enterococcus faecium, Klebsiella pneumoniae, Pseudomonas aeruginosa and Acinetobacter baumannii from Raman spectra by Artificial Intelligen... by Yu-Tzu Lin, Hsiu-Hsien Lin, Chih-Hao Chen, Kun-Hao Tseng, Pang-Chien Hsu, Ya-Lun Wu, Wei-Cheng Chang, Nai-Shun Liao, Yi-Fan Chou, Chun-Yi Hsu, Yu-Hui Liao, Mao-Wang Ho, Shih-Sheng Chang, Po-Ren Hsueh, Der-Yang Cho

“…Methods: In this study, the artificial intelligent Raman detection and identification system (AIRDIS) was implemented to identify bacterial species, including Staphylococcus aureus (n = 1290), Enterococcus faecium (n = 1020), Klebsiella pneumoniae (n = 1366), Pseudomonas aeruginosa (n = 1067), and Acinetobacter baumannii (n = 811). …”
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Clinical validation and optimization of machine learning models for early prediction of sepsis by Xi Liu, Meiyi Li, Xu Liu, Yuting Luo, Dong Yang, Hui Ouyang, Jiaoling He, Jinyu Xia, Fei Xiao, Fei Xiao, Fei Xiao

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Novel Adaptive Bacteria Foraging Algorithms for Global Optimization by Ahmad N. K. Nasir, M. O. Tokhi, N. Maniha Abd. Ghani

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Emodin Enhanced Microwave‐Responsive Heterojunction with Powerful Bactericidal Capacity and Immunoregulation for Curing Bacteria‐Infected Osteomyelitis by Tao Xu, Hao Cheng, Hailiang Pei, Jiameng Wang, Yiwei Shi, Xiangyu Zhang, Di Huang

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Exploring diazotrophic diversity: unveiling Nif core distribution and evolutionary patterns in nitrogen-fixing organisms by Bruno Thiago de Lima Nichio, Roxana Beatriz Ribeiro Chaves, Fábio de Oliveira Pedrosa, Roberto Tadeu Raittz

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Recent advances in recombinant production of soluble proteins in E. coli by Ario de Marco

“…The new capacities offered by artificial intelligence tools could help clarifying this issue, but the training phase will probably require more systematic experimental approaches to collect sufficiently uniform data.…”
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Portable solutions for plant pathogen diagnostics: development, usage, and future potential by Anurag Yadav, Kusum Yadav

“…Furthermore, the integration of these devices with digital technologies, including the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), is transforming disease surveillance and management. …”
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Entropic imprints on bioinformatics by Ismail Mageed

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