Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening by Bo Wang, Muhammad Junaid, Wenjin Li

“…The comprehensive performance evaluation of different target-specific scoring functions shows that they hold significant potential for applications in structure-based virtual screening. …”
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Towards accurate and efficient diagnoses in nephropathology: An AI-based approach for assessing kidney transplant rejection by Alexey Fayzullin, Elena Ivanova, Victor Grinin, Dmitry Ermilov, Svetlana Solovyeva, Maxim Balyasin, Alesia Bakulina, Pavel Nikitin, Yana Valieva, Alina Kalinichenko, Alexander Arutyunyan, Aleksey Lychagin, Peter Timashev

“…This study aims to develop an AI-based solutions for diagnosing acute kidney transplant rejection by introducing automated evaluation of prognostic morphological patterns. The proposed approach aims to help accurately distinguish borderline changes from rejection. …”
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High magnification crack-tip field characterisation under biaxial conditions by B. Moreno, P. Lopez-Crespo, J. Zapatero

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High magnification crack-tip field characterisation under biaxial conditions by B. Moreno, P. Lopez-Crespo, J. Zapatero

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Microstructural characterisation related to hot tearing of Al-Cu sand mould castings by M. Merlin

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Numerical Cohesive Zone Modeling (CZM) of Self-Anchoring AM Metal-CFRP joints by Fikret Enes Altunok Politecnico di Torino, Italy, Giorgio De Pasquale

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Hayai-Annotation: A functional gene prediction tool that integrates orthologs and gene ontology for network analysis in plant species by Andrea Ghelfi, Sachiko Isobe

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MiVitals–Mixed Reality Interface for Vitals Monitoring: A HoloLens based prototype for healthcare practices by Syed K Tanbeer, Edward Roderick Sykes

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A semi-mechanistic mathematical framework for simulating multi-hormone dynamics in reproductive endocrinology by Alexandre Vallée, Anis Feki, Gaby Moawad, Jean-Marc Ayoubi

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High-resolution accurate mass- mass spectrometry based- untargeted metabolomics: Reproducibility and detection power across data-dependent acquisition, data-independent acquisition... by Hanane El Boudlali, Laura Lehmicke, Uta Ceglarek

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ToxDL 2.0: Protein toxicity prediction using a pretrained language model and graph neural networks by Lin Zhu, Yi Fang, Shuting Liu, Hong-Bin Shen, Wesley De Neve, Xiaoyong Pan

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LPItabformer: Enhancing generalization in predicting lncRNA-protein interactions via a tabular Transformer by Qin Lin, Jie Sheng, Chang Zhou, Tao Xiao, Yilei Meng, Mingxin Lu, Junfang Zhang, Xueyun Yan, Luying Peng, Huaming Cao, Li Li

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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

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Experimental Investigation of Both SCC and Rubberized Concrete Beams with Vertical Openings by Mohamed Emara, Heba A. Mohamed, Mostafa S. Rizk

“…The impact of the number of vertical openings and the SF ratio used in beam specimens on the beam behavior, including compressive and tensile strengths, crack patterns and modes of failure, maximum deflection, stiffness, loading capacity, and ductility, was evaluated in the current paper. …”
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Optimization of Flipped Classroom Teaching Model Based on Social Cognitive Network by Xinyue Wang

“…This article evaluates learners’ thinking in the complex environment of teaching level and cognitive construct process and examines learners within the framework of cognitive factors, as well as the degree of consistency in the training process, in the social practice as the teaching of teachers and students to provide timely and dynamic feedback, first of all to “evidence centered” education evaluation of design patterns and cognitive framework theory as the theoretical basis. …”
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Whisper Automatic Speech Recognition and GPT Large Language Models as Best Practice for Assessing Communication Progress in Autism Spectrum Disorder by Naela Fauzul Muna, Mukhammad Andri Setiawan

“…The framework identified detailed communication improvements through the matrix-based evaluation, including verbal, pragmatic, semantic, sentence structure, and echolalia aspects. …”
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The spatial correlation network evolution and influencing factors of industrial carbon emission efficiency in China by Zeni Wang, Xinmei Wang, Zhipeng Fan, Ciran Feng, Xiaoling Qiu, Wei He

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Jakość pracy naukowej, jej potwierdzenie a recenzja partnerska. Odbiór w środowisku naukowym i nieporozumienia. Postawy wobec recenzji partnerskiej (przekł. Tomasz Olszewski) by Adrian Mulligan

“…Zuckerman H., Merton R.K., Patterns of evaluation in science: institutionalization, structure and functions of the referee system, „Minerva” 9(1), 1971.…”
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Incremental dynamic community discovery algorithm based on multi-core nodes by Jing CHEN, Zhijun LIU, Xinyu YANG, Mingxin LIU, Miaomiao LIU

“…A new incremental dynamic community discovery algorithm MCNIDCD based on multiple core nodes was proposed to address challenges in dynamic community discovery.It adapted to sudden events like the emergence or disappearance of communities during evolution.MCNIDCD categorized core nodes into diffusion and cohesion types, and devised four incremental updating strategies.It adjusted node community membership locally and optimized community structure using an incremental modularity method to facilitate community merging.Evaluation on artificial and real networks shows MCNIDCD’s high conformity to community evolution patterns.In real network experiments, MCNIDCD exhibits a 28% average improvement in modularity performance and significant stability advantages.Its superiority is important for studying dynamic community evolution.…”
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Fine-mapping and initial characterization of QT interval loci in African Americans. by Christy L Avery, Praveen Sethupathy, Steven Buyske, Qianchuan He, Dan-Yu Lin, Dan E Arking, Cara L Carty, David Duggan, Megan D Fesinmeyer, Lucia A Hindorff, Janina M Jeff, Liviu Klein, Kristen K Patton, Ulrike Peters, Ralph V Shohet, Nona Sotoodehnia, Alicia M Young, Charles Kooperberg, Christopher A Haiman, Karen L Mohlke, Eric A Whitsel, Kari E North

“…Finally, bioinformatic-based characterization of the nine African American signals pointed to functional candidates located exclusively within non-coding regions, including predicted binding sites for transcription factors such as TBX5, which has been implicated in cardiac structure and conductance. In this detailed evaluation of QT loci, we identified several African Americans SNPs that better define the association with QT and successfully narrowed intervals surrounding established loci. …”
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