Cancer evolution is associated with pervasive positive selection on globally expressed genes. by Sheli L Ostrow, Ruth Barshir, James DeGregori, Esti Yeger-Lotem, Ruth Hershberg

“…A full understanding of cancer requires learning the dynamics of the cancer evolutionary process. …”
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Assessing urban spatial vitality in post-port areas: a multimodal data analysis of Shanghai, Liverpool, and Marseille by Chen Zeng, Tianchen DAI, Feng Wang, Jiangyue Wu

“…Focusing on Shanghai, Liverpool, and Marseille as comparative case studies, this study aims to achieve four key objectives: (1) refining the concept of spatial vitality within the context of global port area regeneration; (2) identifying key determinants—spanning spatial, functional, historical, and waterfront characteristics—that shape vitality, and analyzing their statistical and spatial relationships; (3) applying regression and machine learning models to uncover the distinct factors influencing vitality in post-port settings; and (4) assessing the effectiveness of regeneration strategies in the selected cases based on these insights. …”
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Providing context: Extracting non-linear and dynamic temporal motifs from brain activity. by Eloy Geenjaar, Donghyun Kim, Vince Calhoun

“…Approaches studying the dynamics of resting-state functional magnetic resonance imaging (rs-fMRI) activity often focus on time-resolved functional connectivity (tr-FC). …”
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Digital platforms for state support of the Olympiad process by Anna V. Diachkova, Dmitry E. Kornev

“…Methodology: systematization and analysis, a comparison method to identify the strengths and weaknesses of digital platforms. Results. Key functional requirements for the architecture of solutions for supporting the Olympiad process are formulated: 1) a module for accounting and analytics of achievements with recording, systematization and visualization of results; 2) developed calendar and event functionality; 3) two-way data exchange; 4) multifunctional communication; 5) a personalized recommendation module based on big data analysis, identifying weak topics and offering an optimal strategy for participation in scientific Olympiads, built on the basis of artificial intelligence and machine learning technologies. …”
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Digital Intelligence and Agile Governance: How ICT Catalyzes Competitiveness -case of study: Siemens and Alstom- by Meriem BEN MILOUD

“…Alstom’s 2.9/5), driven by cross-functional project management and robust technological infrastructure. …”
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GAME TECHNOLOGIES IN THE PROCESS OF TEACHING MATHEMATICS TO PRIMARY SCHOOL STUDENTS: AN ERGONOMIC DIMENSION by Н. Карапузова, Є. Починок, О. Палеха

“…Ergonomic pedagogical conditions for the effective usage of didactic games in the process of learning the mathematical educational field are outlined. …”
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Home Biofeedback Training for Pelvic Floor Disorders: Is There Hope for Hopeless Patients? by Marek Vojtko, Peter Banovcin, Martin Duricek, Jakub Hoferica, Peter Liptak

“…Biofeedback training is appropriate to consider when the motoric function disorder is known, the patient could learn voluntary control of response, and this could further lead to an improvement in the condition. …”
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A Graph Isomorphic Network with Attention Mechanism for Intelligent Fault Diagnosis of Axial Piston Pump by Kai Li, Bofan Wu, Shiqi Xia, Xianshi Jia

“…Subsequently, a spatio-temporal attention-based module used to learn the graph representation of piston pump faults is presented, where a novel READOUT function and Transformer encoder provide spatial and temporal interpretability, respectively. …”
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Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification by Sebastian Putz, Jonathan Döttling, Tim Ballweg, Andre Tschöpe, Vitaly Biniyaminov, Matthias Franzreb

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Advances in triboelectric nanogenerators in acoustics: Energy harvesting and Sound sensing by Liming Zhang, Yina Liu, Xuhui Sun, Zhen Wen

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Histaminergic Mechanisms for Modulation of Memory Systems by Cristiano André Köhler, Weber Cláudio da Silva, Fernando Benetti, Juliana Sartori Bonini

“…The histaminergic system is one of the major modulatory systems, and it regulates basic homeostatic and higher functions including arousal, circadian, and feeding rhythms, and cognition. …”
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Disentangling autoencoders and spherical harmonics for efficient shape classification in crystal growth simulations by Jaehoon Cha, Steven Tendyra, Alvin J. Walisinghe, Adam R. Hill, Susmita Basak, Peter R. Spackman, Michael W. Anderson, Jeyan Thiyagalingam

“…Abstract Controlling crystal growth is a challenge across numerous industries, as the functional properties of crystalline materials are determined during formation and often depend on particle shape. …”
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PPI-Graphomer: enhanced protein-protein affinity prediction using pretrained and graph transformer models by Jun Xie, Youli Zhang, Ziyang Wang, Xiaocheng Jin, Xiaoli Lu, Shengxiang Ge, Xiaoping Min

“…Abstract Protein-protein interactions (PPIs) refer to the phenomenon of protein binding through various types of bonds to execute biological functions. These interactions are critical for understanding biological mechanisms and drug research. …”
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Robust time series analysis for forecasting photovoltaic energy yield by Sapundzhi Fatima, Chikalov Aleksandar, Georgiev Slavi, Georgiev Ivan, Todorov Venelin

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Therapeutic target prediction for orphan diseases integrating genome-wide and transcriptome-wide association studies by Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Yuyama Otani, Yoshihiro Yamanishi

“…Here, we propose a disease signature, TRESOR, which characterizes the functional mechanisms of each disease through genome-wide association study (GWAS) and transcriptome-wide association study (TWAS) data, and develop machine learning methods for predicting inhibitory and activatory therapeutic targets for various diseases from target perturbation signatures (i.e., gene knockdown and overexpression). …”
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Bipedicled and structured mammoplasty “in three pillars” by Alexandre Melo dos Santos, Waldemar Chaves Nascimento Brandão Penna, Rudddy Maurício Abularach Cuellar, Felipe Xavier Cló, Fernanda Pinheiro Manhães, Victor Izidro Alves de Almeida

“…Conclusion: The technique has high reproducibility, easy execution, high applicability and versatility, extremely satisfactory aesthetic and functional results for surgeon and patient, and above all, a high degree of safety.…”
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Peptidomic analysis of whey protein hydrolysates and prediction of their antioxidant peptides by Jesus Morales García, Chibuike C. Udenigwe, Jorge Duitama, Andrés Fernando González Barrios

“…We also developed an ensemble machine learning predictor to classify peptides obtained from whey hydrolysis. …”
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Astaxanthin attenuates DNA fragmentation and cognitive decline in type 2 diabetic rats by Sohair A. Saleh, Gergess S. Hanna, Sobhy H. El-Naby, Suzy F. Ewida, Rasha S. A. Elseadawy, Basma S. Ghoneim, Shaimaa M. Motawea

“…Both spatial and non-spatial memory and learning were assessed. IL-6, malondialdehyde, total antioxidant capacity, lipid profile, and glycemic status were assessed. …”
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MicrocrackAttentionNext: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks Through Feature Visualization by Fatahlla Moreh, Yusuf Hasan, Bilal Zahid Hussain, Mohammad Ammar, Frank Wuttke, Sven Tomforde

“…The impact of various activation and loss functions are examined through feature space visualisation using the manifold discovery and analysis (MDA) algorithm. …”
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THE FORMATION OF ENTS ADAPTIVE REACTIONS DEPENDING ON THE TYPE OF PSYCHO-VEGETATIVE REGULATION by E. M. Kazin

“…Features psychosocial adaptation was analyzed using 8-color Luscher test.All examinee were divided into three groups on the basis of the statistical characteristics of the cardiac rhythm by the tone source autonomic tone: “vagotonia” (with a predominance of parasympathetic sistems), “somatotonic” (with domination of the sympatholytic effects), “atonic” (balanced type of vegetative nervous system).Based on the analysis of psychodynamic, neurodynamic and vegetative functions showed that students with initial vagotonies tone are characterized by high levels of situational and personal anxiety, low psychosocial adaptation, decreased activity of neurodynamic functions and psychodynamic processes in the learning dynamics, whereas the individuals with dominance of sympatotonics type regulation have high level of neurodynamic processes, psychosocial adaptation, against the background of significant stress mechanisms of vegetative regulation.Students with initial vegetative tone demonstrate a sufficient level of psychosocial adaptation, activity psychodynamic and neuromotor processes, accompanied by the preservation of the functionality of the body according to the parameters myocardial-hemodynamic homeostasis.It is established that the formation process of psychosocial and physiological adaptation and disadaptation of students is largely determined by the type of vegetative (autonomic) tone, degree of stress, behaviour strategies in stressful situations.…”
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