Cuproptosis-related MTF1 inhibits kidney renal clear cell carcinoma progression by suppressing proliferation and regulating immune cell infiltration by Weipu Mao, Zhou Ding, Keyi Wang, Ming Chen

“…Our study aimed to identify cuproptosis-related genes (CRGs) in patients with kidney renal clear cell carcinoma (KIRC) from the The Cancer Genome Atlas database and to evaluate CRG biological functions. …”
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Oxidative Phosphorylation-Related Signature Participates in Cancer Development, and PTPRG Overexpression Suppresses the Cancer Progression in Clear Cell Renal Cell Carcinoma by Liang Huang, Yu Xie, Weiqing Han, Shusuan Jiang, Lingfeng Zeng

“…Clear cell renal cell carcinoma (ccRCC) was a common cancer type diagnosed with frequent metastases, harboring an unfavorable therapeutic response, and results in a poor prognosis. …”
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Reusable alginate-based hybrid granular activated carbon from sugarcane bagasse residues for secondary decolorization of clear liquor in sugar refining by Pensiri Prachakittikul, Pimonpan Inthapat, Nakorn Worasuwannarak, Sutthira Sutthasupa, Suwanna Kitpati Boontanon, Atthapon Srifa, Wanida Koo-amornpattana, Paeka Klaitong, Weerawut Chaiwat

“…This was probably due to the presence of surface functional groups and its pH-responsive adsorption behavior. …”
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Proteomic characterization of the pseudocapsule of clear cell renal cell carcinoma in VHL disease reveals a distinct microenvironment at the tumor boundary zone by Tobias Feilen, Manuel Rogg, Grigor Andreev, Niko Pinter, Maximilian Wess, Anna L. Kössinger, Nastasja Diel, Elke Neumann-Haefelin, Athina Ganner, Markus Grabbert, Christoph Schell, Oliver Schilling

“…Von Hippel-Lindau (VHL) disease describes a hereditary tumor predisposition syndrome, caused by germline mutations in the VHL tumor suppressor gene, resulting in the functional loss of the VHL protein (pVHL). pVHL loss translates into a pseudo-hypoxic state that drives clear cell renal cell carcinoma (ccRCC) development. ccRCC tumors frequently form a pseudocapsule (PC) at the tumor boundary. …”
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Building damage assessment in natural disasters: A trans- and interdisciplinary approach combining domain knowledge, 3D machine learning, and crowdsourcing by Julia Kohns, Vivien Zahs, Carolin Klonner, Bernhard Höfle, Lothar Stempniewski, Alexander Stark

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Combining satellite and field data reveals Congo's forest types structure, functioning and composition by Juliette Picard, Maïalicah M. Nungi‐Pambu Dembi, Nicolas Barbier, Guillaume Cornu, Pierre Couteron, Eric Forni, Gwili Gibbon, Felix Lim, Pierre Ploton, Robin Pouteau, Paul Tresson, Tom vanLoon, Gaëlle Viennois, Maxime Réjou‐Méchain

“…We also described vegetation type structure and composition (floristic, functional and associated fauna) by linking the map with data from large inventories and derived from satellite images. …”
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Solving Inverse Wave Problems Using Spacetime Radial Basis Functions in Neural Networks by Chih-Yu Liu, Cheng-Yu Ku, Wei-Da Chen, Ying-Fan Lin, Jun-Hong Lin

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Computational analysis of the functional impact of MHC-II-expressing triple-negative breast cancer by Yang Cui, Weihang Zhang, Xin Zeng, Yitao Yang, Sung-Joon Park, Kenta Nakai, Kenta Nakai

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A lightweight neural attention-based model for service chatbots by Sinarwati Mohamad Suhaili, Mohamad Nazim Jambli

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A secured accreditation and equivalency certification using Merkle mountain range and transformer based deep learning model for the education ecosystem by Sumathy Krishnan, Surendran Rajendran, Mohammad Zakariah

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Effects of PET image reconstruction parameters and tumor-to-background uptake ratio on quantification of PET images from PET/MRI and PET/CT systems by Amena Ali Hussain, Eva Forssell-Aronsson, Tobias Rosholm, Esmaeil Mehrara

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Dynamics of recurrent neural networks with piecewise linear activation function in the context-dependent decision-making task by Kononov, Roman Andreevich, Maslennikov, O.  V., Nekorkin, Vladimir Isaakovich

“…An ensemble of neural networks with piecewise linear activation functions was constructed. These models were optimized using the proximal policy optimization method. …”
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Shape-based disease grading via functional maps and graph convolutional networks with application to Alzheimer’s disease by Julius Mayer, Daniel Baum, Felix Ambellan, Christoph von Tycowicz, for the Alzheimer’s Disease Neuroimaging Initiative

“…This work aims to alleviate these limitations by adapting the concept of functional maps. Further, we present a graph-based learning approach for morphometric classification of disease states that uses novel shape descriptors based on this concept. …”
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Serum metabolic fingerprints encode functional biomarkers for ovarian cancer diagnosis: a large-scale cohort studyResearch in context by Wanshan Liu, Xiaoxiao Hu, Zhouzhou Bao, Yanyan Li, Juxiang Zhang, Shouzhi Yang, Yida Huang, Ruimin Wang, Jiao Wu, Xiaoyu Xu, Qi Sang, Wen Di, Huaiwu Lu, Xia Yin, Kun Qian

“…A diagnostic panel was developed through machine learning of SMFs in the discovery cohort and validated in independent verification and set-aside validation cohorts. …”
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Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis by Yueying Li, Xiaotong Zhang, Shihan Guan, Guolin Ma, Youyong Kong

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Neurological function is restored post-ischemic stroke in zebrafish, with aging exerting a deleterious effect on its pathology by Takamasa Mizoguchi, Ayumi Maki, Yuno Nakase, Mayu Okita, Yuina Minami, Misa Fukunaga, Motoyuki Itoh

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Brain structural features with functional priori to classify Parkinson’s disease and multiple system atrophy using diagnostic MRI by Kai Zhou, Jie Li, Rui Huang, Jiali Yu, Rong Li, Wei Liao, Fengmei Lu, Xiaofei Hu, Huafu Chen, Qing Gao

“…Features were derived from a functional template, and hierarchical SHAP-based feature selection improved model accuracy and interpretability. …”
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Functionalization of biochar using SDS/SAP nanomicelles enhanced its immobilization capacity for dyes and heavy metals in water by Kun Tian, Chunping Li, Huiming Liu, Lianchun Wang

“…Subsequently, the SDMBC and BC was characterized by Fourier Transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), scanning electron microscopy (SEM), Zeta potential (Zeta), it found SDMBC has a more layered structure, richer functional groups and more amorphous structure compared with BC, which are closely related with improving its adsorption capacity. …”
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Agreement and disagreement in pediatric functional neurological symptom disorders: Comparing patient reported outcome measures (PROMs) and clinician assessments by S. Barak, J. Landa, E. Eisenstein, M. Gerner, T. Ravid Vulkan, E. Neeman-Verblun, T. Silberg

“…This study assessed the disparities between clinician evaluations and patient-reported outcome measures (PROMs) regarding pain, motor function, and learning difficulties in youth with FNSD. …”
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Enhancing the reverse transcriptase function in Taq polymerase via AI-driven multiparametric rational design by Yulia E. Tomilova, Nikolay E. Russkikh, Igor M. Yi, Elizaveta V. Shaburova, Viktor N. Tomilov, Galina B. Pyrinova, Svetlana O. Brezhneva, Olga S. Tikhonyuk, Nadezhda S. Gololobova, Dmitriy V. Popichenko, Maxim O. Arkhipov, Leonid O. Bryzgalov, Evgeniy V. Brenner, Anastasia A. Artyukh, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Denis V. Antonets, Mikhail K. Ivanov, Mikhail K. Ivanov

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