An experimentally supported model of the Bacillus subtilis global transcriptional regulatory network by Mario L Arrieta‐Ortiz, Christoph Hafemeister, Ashley Rose Bate, Timothy Chu, Alex Greenfield, Bentley Shuster, Samantha N Barry, Matthew Gallitto, Brian Liu, Thadeous Kacmarczyk, Francis Santoriello, Jie Chen, Christopher DA Rodrigues, Tsutomu Sato, David Z Rudner, Adam Driks, Richard Bonneau, Patrick Eichenberger

“…Abstract Organisms from all domains of life use gene regulation networks to control cell growth, identity, function, and responses to environmental challenges. …”
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A Mechanical Fault Diagnosis Method for On-Load Tap Changers Based on GOA-Optimized FMD and Transformer by Ruifeng Wei, Zhenjiang Chen, Qingbo Wang, Yongsheng Duan, Hui Wang, Feiming Jiang, Daoyuan Liu, Xiaolong Wang

“…From the resulting intrinsic mode functions (IMFs), statistical time domain features—peak factor, impulse factor, waveform factor, and clearance factor—are extracted to form feature vectors. …”
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Horizontal integration in first phase MBBS curriculum – Key for better comprehension by Sarbani Das, Dilip Kumar Mondal, Paramita Mukhopadhayay, Sharmistha Biswas, Abhijit Bhakta

“…Conclusion: Integrated teaching method increases interest towards a topic as it helps students to know functional correlation of a structure at a same time with structural details and its clinical importance. …”
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Transition metal coordination polymer-derived materials for supercapacitor applications: recent advances and future perspectives by Saifullahi Kabiru Sa’adu, Cheng Seong Khe, Muhammad Fadhlullah Abd. Shukur, Kwok Feng Chong, Chin Wei Lai, Kok Yeow You, Nik Roselina Nik Roseley, Eslam Aboelazm

“…Theoretical frameworks like density functional theory and emerging machine learning models are other methods employed to better understand redox behaviour and drive material design. …”
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Digital Platforms for the Built Environment: A Systematic Review Across Sectors and Scales by Michele Berlato, Leonardo Binni, Dilan Durmus, Chiara Gatto, Letizia Giusti, Alessia Massari, Beatrice Maria Toldo, Stefano Cascone, Claudio Mirarchi

“…It also highlights the importance of emerging technologies, including large language models and federated learning, as well as context-specific platform strategies, especially for applications in the Global South.…”
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Psychoeducation in Neuropsychological Rehabilitation by Maria E. Baulina, Nataliya A. Varako, Maria S. Kovyazina, Anatoliy A. Skvortsov, Svetlana A. Vasilyeva

“…A lot of brain damage including traumatic brain injuries during war can lead to persistent cognitive disorders and followed impaired functioning in everyday life. The main focus in dealing with such disorders is made on the neuropsychological (cognitive) rehabilitation. …”
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Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors by Mindaugas Tamošiūnas, Martynas Maciulevičius, Romans Maļiks, Diāna Dupļevska, Daira Viškere, Ilze Matīse-van Houtana, Roberts Kadiķis, Blaž Cugmas, Renaldas Raišutis

“…Initially, Raman spectral bands (with specificity to certain molecular structures and functional groups) were identified in formalin-fixed samples of mast cell tumors and soft tissue sarcomas, obtained through routine veterinary biopsy submissions. …”
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Integrative analysis of bulk and single-cell transcriptomic data reveals novel insights into lipid metabolism and prognostic factors in hepatocellular carcinoma by Feiyu Qi, Guiming Zha, Yanfang Zhang, Sihua Liu, Yuhang Yang, Wanliang Sun, Dongdong Wang, Zhong Liu, Zheng Lu, Dengyong Zhang

“…Genes associated with lipid metabolism in liver cells were identified, and a machine-learning model was developed using the bulk transcriptomic data randomly partitioned into training and validation sets. …”
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A Data Storage, Analysis, and Project Administration Engine (TMFdw) for Small- to Medium-Size Interdisciplinary Ecological Research Programs with Full Raster Data Capabilities by Paulina Grigusova, Christian Beilschmidt, Maik Dobbermann, Johannes Drönner, Michael Mattig, Pablo Sanchez, Nina Farwig, Jörg Bendix

“…Over almost 20 years, a data storage, analysis, and project administration engine (TMFdw) has been continuously developed in a series of several consecutive interdisciplinary research projects on functional biodiversity of the southern Andes of Ecuador. …”
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The performance of the alarmin HMGB1 in pediatric diseases: From lab to clinic by Bo Li, Xin Peng, He Li, Fei Chen, Yuxia Chen, Yingqian Zhang, Kai Le

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CFD modelling and simulation of anaerobic digestion reactors for energy generation from organic wastes: A comprehensive review by Muhammad Usman Farid, Indiana A. Olbert, Andreas Bück, Abdul Ghafoor, Guangxue Wu

“…Research gaps and critical challenges are identified in different aspects such as reactor design, and configuration, mixing, multiphase flow, heat transfer, biokinetics as well as machine learning approaches.…”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

“…By employing the CMAC neural network, CMACGSA dynamically learns the masses of particles/agents of GSA, enabling a learning-driven approach to mass computation. …”
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Increased intra-subject variability in reward behavior relates to symptom severity in schizophrenia by I-Fei Chen, Yu-Chen Chan, Chih-Min Liu, Yi-Ting Lin, Ming H. Hsieh, Tzung-Jeng Hwang, Tai-Li Chou, Chen-Chung Liu, Yi-Ling Chien, Georg Northoff

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Teaching Bioinspired Design for Assistive Technologies Using Additive Manufacturing: A Collaborative Experience by Maria Elizete Kunkel, Alexander Sauer, Carlos Isaacs, Thabata Alcântara Ferreira Ganga, Leonardo Henrique Fazan, Eduardo Keller Rorato

“…This initiative illustrates how biomimetic mechanisms and design can be integrated into education to generate functional outcomes and socially impactful health technologies. …”
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Optimizing imputation strategies for mass spectrometry-based proteomics considering intensity and missing value rates by Yuming Shi, Huan Zhong, Jason C. Rogalski, Leonard J. Foster

“…Several statistical and machine-learning methods have been described for imputing MVs in proteomics, such as Bayesian PCA estimation, random forest, and collaborative filtering. …”
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Overall architecture design of row/column scanning silicon-based focal plane switch array LiDAR transmitter system by Yu Wang, Yue Wang, Zeyang Zhang, Hang Cheng, Yuanhui Li, Guohui Yang, Kuang Zhang, Chunhui Wang

“…The functionality and low complexity of the designed architecture were validated through the simulation of a 64 × 64 transmitter array. …”
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Dynamic analysis of competitive marketing strategies using differential game models and Runge–Kutta solutions by Awad Talal Alabdala, Asmaa Alhassan, Maan T. Alabdullah, Waleed Adel

“…The proposed model accounts for market share dynamics, pricing strategies, and advertising efforts, capturing real-world competitive interactions through logistic growth functions and nonlinear incidence rates. By formulating the problem as a differential game, we analyze the optimal control strategies of firms aiming to maximize their long-term market positions while minimizing operational costs. …”
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Multimodal lightweight neural network for Alzheimer's disease diagnosis integrating neuroimaging and cognitive scores by Bhoomi Gupta, Ganesh Kanna Jegannathan, Mohammad Shabbir Alam, Kottala Sri Yogi, Janjhyam Venkata Naga Ramesh, Vemula Jasmine Sowmya, Isa Bayhan

“…To further enhance the model's discriminative capacity, transfer learning techniques are applied. A multilayer perceptron (MLP) classifier is incorporated to capture complex feature interactions and improve diagnostic precision. …”
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Analysis of professional deficits of teachers of the Republic of Tatarstan by L. E. Khairullina, F. M. Gafarov, L. E. Mingalieva

“…Difficulties, equally pronounced for both urban and rural teachers, in most cases are associated with the unwillingness of teachers to fully solve professional tasks in the formation of functional literacy of schoolchildren, the development of inclusive and personalised learning; with insufficient knowledge of the psychological and pedagogical features of the development of children of different ages to resolve conflict situations.Practical significance. …”
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A Soft Sensor Based Inference Engine for Water Quality Assessment and Prediction by Micheal A Ogundero, Theophilus A Fashanu, Foluso O Agunbiade, Kehinde Orolu, Ahmed A Yinusa, Usman A Daudu, Muhammed O H Amuda

“…Thus, this work developed an inference engine for robust water quality assessment and prediction using some statistical and intelligent discriminant functions. Results show that machine learning algorithms including the Logistic Regression, Decision Trees, Random Forest, XGBoost, and Neural Networks schemes reliably predicted water potability in the absence of two missing instrumentation parameters namely: pH and DO. …”
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