TsR-0072 inhibits colorectal cancer progression through modulating lipid and vitamin D3 metabolic reprogramming and inactivating the Wnt/β-catenin signalling pathway by Qianyi Qi, Bairong Chen, Jinran Wu, Jing Xu, Hongyi Bao, Kangfeng Jin, Lin Chen, Guang Zhu, Feng Wang

“…CCK8, 5-ethynyl-2′-deoxyuridine (EdU), colony formation, transwell experiments and nude mice transplantation models were performed to assess CRC cell proliferation and metastasis in vitro and in vivo. …”
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Integrated single-cell and transcriptomic analysis of bone marrow-derived metastatic neuroblastoma reveals molecular mechanisms of metabolic reprogramming by Jing Chu, Rong Qin, Shu-Jing Wang, Qiang Wang, Qiang Wu

“…AUCell scoring, differential gene expression analysis, random survival forest modeling, and Kaplan–Meier survival analysis were conducted to identify key genes involved in metabolic reprogramming and to characterize their immune infiltration features. …”
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Clozapine for Treatment-Resistant Disruptive Behaviors in Youths With Autism Spectrum Disorder Aged 10-17 Years: Protocol for an Open-Label Trial by André Luiz Schuh Teixeira da Rosa, Marina Ribeiro Barreto da Costa, Gabriela Bezerra Sorato, Felipe de Moura Manjabosco, Érica Bonganhi de Bem, Lucas Dellazari, Arthur Bezerra Falcão, Lucas de Oliveira Cia, Olivia Sorato Bezerra, Rogério Boff Borges, Luis Augusto Rohde, Ana Soledade Graeff-Martins

“… BackgroundAutism Spectrum Disorder (ASD) is a complex neurodevelopmental condition emerging in early childhood, characterized by core features such as sociocommunicative deficits and repetitive, rigid behaviors, interests, and activities. …”
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Reliability and validity of the total cerebral small vessel disease score: a systematic review and meta-analysis by Guilherme Diogo Silva, João Paulo Mota Telles, Carolina de Medeiros Rimkus, Germana Titoneli Vieira, Emily Figueiredo Vieira Neves Yuki, Raymundo Soares de Azevedo, Gisela Tinone, Leandro Tavares Lucato, Rosa Maria Pereira, Adriana Bastos Conforto

“…We provided summary Cohen’s kappa coefficients for inter and intra-rater reliability for each feature of the tSVD score. Subgroup analysis and meta-regression models were used to evaluate the impact of raters, MRI fields, age, and median tSVD score values in inter-rater reliability. …”
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Systemic inflammation is associated with myocardial fibrosis in patients with obstructive hypertrophic cardiomyopathy by Xinli Guo, Jian Zhang, Manyun Huang, Changpeng Song, Changrong Nie, Xinxin Zheng, Shuiyun Wang, Xiaohong Huang

“…Levels of interleukin (IL)‐2, tumour necrosis factor (TNF)‐α and interferon (IFN)‐α were significantly higher in patients with high MF compared to those with low MF (2.3 vs. 4.0 pg/mL, 3.1 vs. 3.9 pg/mL, 4.2 vs.4.7 pg/mL, respectively; all P < 0.05). In multivariate models adjusted for age, sex and other clinical features, IL‐2, IL‐5 and TNF‐α, were correlated with increased interstitial MF [odds ratio (OR): 1.54, 95% confidence interval (CI): 1.10–2.14; OR: 1.42, 95% CI: 1.02–1.98; OR: 1.33, 95% CI: 1.04–1.70]. …”
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Remaining Useful Life Prediction Across Conditions Based on a Health Indicator-Weighted Subdomain Alignment Network by Zhiqing Xu, Christopher W. K. Chow, Md. Mizanur Rahman, Raufdeen Rameezdeen, Yee Wei Law

“…This paper proposes a novel model, called the health indicator-weighted subdomain alignment network (HIWSAN), which first learns feature representations at multiple scales, then constructs health indicators as temporal weights, and finally performs subdomain-level alignment. …”
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Dementia ascertainment in India and development of nation‐specific cutoffs: A machine learning and diagnostic analysis by Danny Maupin, Hongxin Gao, Emma Nichols, Alden Gross, Erik Meijer, Haomiao Jin

“…A machine learning (ML) model was trained on these classifications, with explainable artificial intelligence to assess feature importance and inform cutoffs that were assessed across demographic groups. …”
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Comparison of sarcopenia screening indices using serum creatinine and cystatin C in metabolic dysfunction-associated steatotic liver disease by Inyoung Hwang, Shi-Ra Lee, Shi-Ra Lee, Yun Kim, Sang Won Lee, Sang Won Lee

“…CBMM demonstrated the strongest correlation with SMI (R2 = 0.4306, p &lt; 0.0001) and the best discriminative ability for low SMI (Area under ROC: 0.9149 for males and 0.9444 for females) compared with SI and eGFR ratio. Machine learning models consistently identified CBMM as the most important feature for predicting SMI based on the SHAP analysis.ConclusionThese findings suggest that CBMM, derived from readily available serum markers, could serve as a valuable initial screening tool for identifying MASLD patients at risk of sarcopenia who may benefit from further assessment and early interventions.…”
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Competitive Heavy‐Atom Tunneling Reactions Controlled Through Electronic Effects by José P. L. Roque, Cláudio M. Nunes, Fumito Saito, Bastian Bernhardt, Rui Fausto, Peter R. Schreiner

“…Benzazirines, which have the exceptional feature to react via two competitive QMT pathways, were used as model compounds. …”
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RUBIES: JWST/NIRSpec Confirmation of an Infrared-luminous, Broad-line Little Red Dot with an Ionized Outflow by Bingjie Wang, Anna de Graaff, Rebecca L. Davies, Jenny E. Greene, Joel Leja, Gabriel B. Brammer, Andy D. Goulding, Tim B. Miller, Katherine A. Suess, Andrea Weibel, Christina C. Williams, Rachel Bezanson, Leindert A. Boogaard, Nikko J. Cleri, Michaela Hirschmann, Harley Katz, Ivo Labbé, Michael V. Maseda, Jorryt Matthee, Ian McConachie, Rohan P. Naidu, Pascal A. Oesch, Hans-Walter Rix, David J. Setton, Katherine E. Whitaker

“…We develop a new joint galaxy and active galactic nucleus (AGN) model within the Prospector Bayesian inference framework and perform spectrophotometric modeling using NIRCam, MIRI, and NIRSpec/Prism observations. …”
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Research of Physical and Mechanical Properties of Self-Compacting Concrete Based on Polyfractional Binder by Meiram M. Begentayev, Daniyar A. Akhmetov, Rauan E. Lukpanov, Erzhan I. Kuldeyev, Zhanar O. Zhumadilova, Tolebi Myrzaliyev, Duman S. Dyussembinov, Aigerim K. Tolegenova

“…A software and calculation complex featuring a three-dimensional modeling algorithm, Drop and Roll, was used to select the optimal composition. …”
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Application of Object Contrast for Forming Images Used in Technical Vision Systems for Navigation of Mobile Robots by Tymochko O., Boichenko О., Zakirov S., Holovniak D., Dmitriiev O., Padalka I.

“…The purpose of the article is to substantiate the feasibility of using object contrast as an informative feature for the formation of images used in technical vision systems. …”
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How lived experiences of illness trajectories, burdens of treatment, and social inequalities shape service user and caregiver participation in health and social care: a theory-info... by Carl R May, Katja C Gravenhorst, Alyson Hillis, Mick Arber, Carolyn A Chew-Graham, Katie I Gallacher, Frances S Mair, Ellen Nolte, Alison Richardson

“…Methods Qualitative evidence synthesis to model core components of service user and caregiver work, and to identify common factors across index conditions, disease trajectories and service contexts. …”
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Digital Twin Approach for Fault Diagnosis in Photovoltaic Plant DC–DC Converters by Pablo José Hueros-Barrios, Francisco Javier Rodríguez Sánchez, Pedro Martín Sánchez, Carlos Santos-Pérez, Ariya Sangwongwanich, Mateja Novak, Frede Blaabjerg

“…Synthetic training data are generated using emulation models under normal and faulty conditions, and feature vectors are constructed using a compact, interpretable set of statistical and spectral descriptors. …”
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K0 test and particle flow simulation of coral sands with different gradations by Ruiyuan Zhang, Yongtao Zhang, Peishuai Chen, Fuquan Ji, Huiwu Luo, Yu Zhong, Yu Zhong

“…On this basis, a discrete element model is established with the aid of particle flow code (PFC), and the numerical simulation and laboratory test are in good agreement. …”
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Online Reviews Meet Visual Attention: A Study on Consumer Patterns in Advertising, Analyzing Customer Satisfaction, Visual Engagement, and Purchase Intention by Aura Lydia Riswanto, Sujin Ha, Sangho Lee, Mahnwoo Kwon

“…The eye-tracking data revealed that advertisements featuring products and models garnered the most visual attention, while the survey results indicated that promotional content significantly influenced the purchase intentions. …”
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NLE-ANSNet: A Multilevel Noise Estimation and Adaptive Scaling Framework for Hybrid Noise Suppression in Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma by Jasem Almotiri

“…This study proposes the use of NLE-ANSNet, a deep learning-based denoizing framework that integrates multilevel noise level estimators (NLEs) and adaptive noise scaling (ANS) within residual blocks. The model performs progressive, stagewise noise suppression at multiple feature depths, dynamically adjusting normalization based on localized noise estimates. …”
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Engineering Classes as a Tool of Professional Navigation by O. N. Vasilieva, N. V. Konovalova

“…The training program includes lessons on mathematics, physics and computer sciences, reinforcing training of future entrants for getting higher engineering-technical education, as well as an elective part on solving applied engineering tasks from the following sections: electronics, robotics, mechatronics, 3D modeling, engineering graphics, and prototyping. A specific feature of the project is a broad engagement of students majoring in technical directions as tutors into the educational process when schoolchildren perform research and design work. …”
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Multitarget Vehicle Tracking and Motion State Estimation Using a Novel Driving Environment Perception System of Intelligent Vehicles by Yuren Chen, Xinyi Xie, Bo Yu, Yi Li, Kunhui Lin

“…Firstly, a panoramic segmentation neural network that supports end-to-end training is designed and implemented, which is composed of semantic segmentation and instance segmentation. A depth calculation model of the driving environment is established by adding a depth estimation branch to the feature extraction and fusion module of the panoramic segmentation network. …”
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Characterizing changes in the rate of protein-protein dissociation upon interface mutation using hotspot energy and organization. by Rudi Agius, Mieczyslaw Torchala, Iain H Moal, Juan Fernández-Recio, Paul A Bates

“…Using specialized feature selection models we identify descriptors that are highly specific and, conversely, broadly important to predicting the effects of different classes of mutations, interface regions and complexes. …”
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