Drug–Target Affinity Prediction Based on Cross-Modal Fusion of Text and Graph by Jucheng Yang, Fushun Ren

“…Drug–target affinity (DTA) prediction is a critical step in virtual screening and significantly accelerates drug development. …”
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Practical tips for starting a successful national postgraduate course [version 4; peer review: 1 approved, 2 approved with reservations, 1 not approved] by Magnus Sundbom

“…Conclusion It is hoped that these tips will make it easier for others to take the decisive first step in the exciting task of starting a national course; that is: ‘to know the road ahead - ask those coming back’.…”
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Application of a methodological framework for the development and multicenter validation of reliable artificial intelligence in embryo evaluation by D. Gilboa, Akhil Garg, M. Shapiro, M. Meseguer, Y. Amar, N. Lustgarten, N. Desai, T. Shavit, V. Silva, A. Papatheodorou, A. Chatziparasidou, S. Angras, J. H. Lee, L. Thiel, C. L. Curchoe, Y. Tauber, D. S. Seidman

“…Results The AI was designed as a deep learning classifier ranking embryos by score according to their likelihood of clinical pregnancy. …”
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Recent Facial Image Preprocessing Techniques: A Review by Rendra Soekarta, Ku Ruhana Ku-Mahamud

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專題式學習運用在國小環境教育課程之實踐歷程與成效 A Study of the Implementation and Effectiveness of Projectbased Learning in Elementary Schools’ Environmental Education Curriculum... by 姜緯珊 Wei-Shan Chiang, 詹惠雪 Hui-Hsueh Chan

“…This study investigated the application of Project-based Learning in the fifth-grade environmental education curriculum of elementary schools, with the aim of understanding its effectiveness and impact on students' learning as measured against a self-developed Environmental Education Literacy Scale. …”
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A new approach to atom-to-atom mapping using the naive Bayesian classifier by A.I. Khayrullina, T.I. Madzhidov, R.I. Nugmanov, V.A. Afonina, I.I. Baskin, A.A. Varnek

“…The key step in the computer analysis of chemical reactions is the determination of the correspondence between the atoms of reagents and products. …”
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Ultrasound artificial intelligence in the assessment of liver fibrosis by HUANG Xiulin, CHEN Chengcai, LUO Tingting, LU Jiao, LIU Anxin, FENG Shiwen

“… Liver fibrosis is a necessary step in the progression of various chronic liver diseases to cirrhosis and hepatocellular carcinoma, so early diagnosis of liver fibrosis is of great clinical significance. …”
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Combining single-cell ATAC and RNA sequencing for supervised cell annotation by Jaidip Gill, Abhijit Dasgupta, Brychan Manry, Natasha Markuzon

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Bringing computational thinking into classrooms: a systematic review on supporting teachers in integrating computational thinking into K-12 classrooms by Zhichun Liu, Zarina Gearty, Eleanor Richard, Chandra Hawley Orrill, Shakhnoza Kayumova, Ramprasad Balasubramanian

“…These findings shed light on supporting teachers as the first step to creating an effective model for CT learning and development in K-12 education.…”
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Rethinking timing residuals: advancing PET detectors with explicit TOF corrections by Stephan Naunheim, Stephan Naunheim, Luis Lopes de Paiva, Luis Lopes de Paiva, Vanessa Nadig, Yannick Kuhl, Yannick Kuhl, Stefan Gundacker, Stefan Gundacker, Florian Mueller, Volkmar Schulz, Volkmar Schulz, Volkmar Schulz, Volkmar Schulz

“…In the subsequent step, any deviation from a defined expectation is regarded as a residual effect, which we leverage to train machine learning models to eliminate higher-order skews. …”
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Clinical decision support for pharmacologic management of treatment-resistant depression with augmented large language models by Roy H. Perlis, Pilar F. Verhaak, Joseph Goldberg, Cristina Cusin, Michael Ostacher, Gin S. Malhi, Carlos A. Zarate, Richard C. Shelton, Dan V. Iosifescu, Mauricio Tohen, Manish Kumar Jha, Martha Sajatovic, Michael Berk

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Dedicated dataset of Sapota (Manilkara zapota) fruit for machine vision applicationsMendeley Data and Zenodo by Anita Bhatt, Maulin Joshi

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From Pixels to Diagnosis: Implementing and Evaluating a CNN Model for Tomato Leaf Disease Detection by Zamir Osmenaj, Evgenia-Maria Tseliki, Sofia H. Kapellaki, George Tselikis, Nikolaos D. Tselikas

“…The paper explores the application of machine learning (ML) technologies to develop a model capable of identifying and classifying diseases in tomato leaves. …”
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Person Re-Identification With Self-Supervised Teacher for In-Box Noise by Yonghyeok Seo, Seung-Hun Kim

“…The person re-identification task, which follows the detector algorithm step, is limited to information within the detected box. …”
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AquaYOLO: Advanced YOLO-based fish detection for optimized aquaculture pond monitoring by M. Vijayalakshmi, A. Sasithradevi

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Training Set Design for Uneven Illumination Correction in High-Resolution Whole Slide Images by Sama Nemati, Hasti Shabani, Ahmad Mahmoudi-Aznaveh

“…Uneven illumination correction is considered a critical pre-processing step in creating digital images from optical microscopes, particularly in whole-slide imaging (WSI). …”
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Protein homodimers structure prediction based on deep neural network by A. Y. Hadarovich, A. A. Kalinouski, A. V. Tuzikov

“…Building on the idea of this approach, we developed an algorithm to model the 3D structure of homodimer based on deep learning. It consists of two major steps: at the first step a protein complex contact map is predicted with the deep convolutional neural network, and the second stage is used to predict 3D structure of homodimer based on obtained contact map and optimization procedure. …”
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MBLSTM is a contextual interaction refined method for time series prediction by Weihan Qiu, Fangjie Zhu, Tianyong Hao, Maojie Wang, Runyue Huang

“…Besides, more features of time series data are learned utilizing contrastive learning and a data augmentation scheme based on Kernel Density Estimation is designed to identify more accurate features from time series data. …”
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‘The person cutting the path does not know his trail is crooked’. Drawing lessons learned from people accessing antiretroviral treatment services to propose a person-centered care... by Malia Duffy, Jessica E. Posner, Caitlin Madevu-Matson, Henry Tagoe, Amy Casella

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Deep Contextual Structure and Semantic Feature Enhancement Stereo Network by Guowei An, Yaonan Wang, Kai Zeng, Qing Zhu, Xiaofang Yuan, Yang Mo

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