Differential Expression and PAH Degradation: What Burkholderia vietnamiensis G4 Can Tell Us? by Guilherme Pinto Cauduro, Ana Lusia Leal, Tiago Falcón Lopes, Marcela Marmitt, Victor Hugo Valiati

“…Six transcriptomes were generated from each group aiming to compare gene expression and infer which genes are involved in degradation pathways. …”
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Advancing Surgical Management of Penile Cancer: Single Port Bilateral Inguinal Lymph Node Dissection by Sisto Perdonà, Alessandro Izzo, Antonio Tufano, Francesco Passaro, Giuseppe Quarto, Achille Aveta, Roberto Contieri, Savio Domenico Pandolfo, Riccardo Autorino, Gianluca Spena

“…Limitations of the SP-technique might include extended operative times, especially during the learning phase, and the absence of long-term oncological data. …”
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AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies by István Lakatos, Gergő Bogacsovics, Attila Tiba, Dániel Priksz, Béla Juhász, Rita Erdélyi, Zsuzsa Berényi, Ildikó Bácskay, Dóra Ujvárosy, Balázs Harangi

“…In this study, we present a novel AI-based automated framework to process and evaluate MWM test videos, aiming to enhance behavioral analysis through machine learning. …”
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Enhancing Teaching: The Crucial Role of Effective Preparation and Delivery of Lectures by Iryna Hontarenko, Oksana Kovalenko

“…However, recent pedagogical research by Ukrainian scholars has not fully explored this matter, hindering the development of practical guidelines for instructors aiming to organize and deliver effective lecture courses. …”
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How Do We Engage Customers in Official Activity in the Virtual Brand Community? The Effects of Enterprise-Generated Contents on Customer Engagement Behaviors by Xiaoxi Yang, Xinyi Su, Jing Lin, Jiaqi Liu, Miao Miao, Yushi Jiang

“…Using a large dataset of 21,850 EGC posts and corresponding customer behavior data, we employ text analysis and machine learning techniques to conduct a robust empirical analysis, revealing the complex relationships between EGC characteristics and CEBs. …”
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Performance and conceptual structure of climate-smart agriculture research: a bibliometric analysis (2010–2023) by Jabulile Zamokuhle Manyike, Thulani Ningi, Thulani Ningi, Jenny Potsiso Mokhaukhau, Loquitur Maka

“…This study investigates the evolution and current state of CSA research from 2010 to 2023, with a focus on its conceptual structure and thematic development. Data sourced from the Scopus database were analysed using bibliometric techniques. …”
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Emergency Power Supply Management Strategy for Low-Performance Distribution Networks Based on Mobile Multi-Port Interconnection Equipment by Xin Ning, Tianhao Zhu, Tong Kang, Jiran Zhu, Keyan Liu, Lijing Sun, Jinliang You, Xin Wang, Qi Guo

“…Firstly, we present the EV-SOP architecture and its mathematical model. Then, aiming to minimize the economic losses caused by power loss during line faults, an EV-SOP emergency management strategy based on data collection, scheduling judgment, and optimal modeling techniques is proposed. …”
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Deep Reinforcement Learning for Automated Insulin Delivery Systems: Algorithms, Applications, and Prospects by Xia Yu, Zi Yang, Xiaoyu Sun, Hao Liu, Hongru Li, Jingyi Lu, Jian Zhou, Ali Cinar

“…Advances in artificial intelligence present new opportunities for developing data-driven, fully closed-loop AIDs. Among them, deep reinforcement learning (DRL) has attracted much attention due to its potential resistance to perturbations. …”
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Novel conditional tabular generative adversarial network based image augmentation for railway track fault detection by Ali Raza, Rukhshanda Sehar, Abdul Moiz, Ala Saleh Alluhaidan, Sahar A. El-Rahman, Diaa Salama AbdElminaam

“…We propose a novel conditional tabular generative adversarial network (CTGAN)-based image augmentation approach to producing realistic synthetic image data using railway track images. We developed five advanced neural network techniques for comparison with railway track image classification. …”
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Circular economy and ecologically sustainable behaviour in the light of financial constraints: quantitative results from Austria by Lukas Richter, Lukas Richter, Mohammed Qasim Khattab

“…This study investigates the relationship between financial constraints and the adoption of CE strategies, aiming to assess whether financial hardship influences individuals’ ability to engage in sustainable practices.MethodsThe study utilises quantitative survey data from Austria (n = 1,003) collected in June 2022. …”
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A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…Recent systems take advantage of the synergy between machine learning, data mining, and image processing to extract/analyze features from crowded zones and recognize patterns and anomalies from the crowd behavior. …”
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Functions developed by nurse in an intensive care unit by Micheli Grande Cenedési, Elizabeth Bernardino, Maria Ribeiro Lacerda, Kaoana Lima

“…The collected data were categorized by the technique of content analysis. …”
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Application of hyperthermia robots in Cyber-syndrome treatment by Xueyan YIN, Feifei SHI, Jinqiang WANG, Huansheng NING

“…Traditional technologies are now integrated with artificial intelligence techniques, such as big data analysis and visualization algorithms, enabling more precise and personalized treatment services that effectively alleviate the symptoms of Cyber-syndrome. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…Consequently, only the "independent expansion" stage and the "penetration zone" stage can be identified, and the accuracy of the vertical trajectory inversion is compromised.To overcome these limitations, the study proposes a time-sequenced multi-azimuth joint detection technique. By integrating data from multiple GPR antenna positions and incident angles, this approach effectively mitigates the shielding effect and enhances the resolution of three-dimensional dynamic fracture evolution. …”
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Optimization of off-grid hybrid renewable energy systems for cost-effective and reliable power supply in Gaita Selassie Ethiopia by Elsabet Ferede Agajie, Takele Ferede Agajie, Isaac Amoussou, Armand Fopah-Lele, Wirnkar Basil Nsanyuy, Baseem Khan, Mohit Bajaj, Ievgen Zaitsev, Emmanuel Tanyi

“…Moreover, optimal component sizing has been investigated utilizing real-time assessment data and meteorological data from Gaita Sillasie, Ethiopia. …”
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Enhancing implementation of information and communication technologies for post-discharge care among hospitalized older adult patients: development of a multifaceted implementation... by Dorothy Yingxuan Wang, Eliza Lai-Yi Wong, Annie Wai-Ling Cheung, Zoe Pui-Yee Tam, Kam-Shing Tang, Eng-Kiong Yeoh

“…Methods This study systematically applies the Behavior Change Wheel (BCW) approach, involving behavior diagnosis, identification of intervention options, and intervention content selection, informed by conceptual frameworks, empirical data, and relevant literature. Additionally, the Implementation Research Logic Model is utilized to synthesize, organize, and visually present the collected data. …”
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Hot node limitations and impact of taxonomic resolution on phylogenetic divergence patterns: A case study on Ecuadorian ethnomedicinal flora by Darío Atienza‐Barthelemy, Manuel J. Macía, Rafael Molina‐Venegas

“…Summary Societal Impact Statement Novel phylogenetic approaches have emerged in recent years to study traditional medicinal plants, aiming to identify potential sources of new drugs. …”
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From Viewing to Structure: A Computational Framework for Modeling and Visualizing Visual Exploration by Kuan-Chen Chen, Chang-Franw Lee, Teng-Wen Chang, Cheng-Gang Wang, Jia-Rong Li

“…This study proposes a computational framework that transforms eye-tracking analysis from statistical description to cognitive structure modeling, aiming to reveal the organizational features embedded in the viewing process. …”
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Strategies for Soil Salinity Mapping Using Remote Sensing and Machine Learning in the Yellow River Delta by Junyong Zhang, Xianghe Ge, Xuehui Hou, Lijing Han, Zhuoran Zhang, Wenjie Feng, Zihan Zhou, Xiubin Luo

“…In response to the global ecological and agricultural challenges posed by coastal saline-alkali areas, this study focuses on Dongying City as a representative region, aiming to develop a high-precision soil salinity prediction mapping method that integrates multi-source remote sensing data with machine learning techniques. …”
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Bahasa Humor dalam Playlist Cerita Cintaku 2022 pada Kanal YouTube Raditya Dika: Tinjauan Pragmatik by Muthia Triana Dewi, Aslinda Aslinda, Alex Darmawan

“…In the data provision stage, the method and techniques used are the observation method with basic tapping technique and advanced technique of Free Involvement Conversation Observation (FIC) and note-taking. …”
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