Breast cancer survival prediction using an automated mitosis detection pipeline by Nikolas Stathonikos, Marc Aubreville, Sjoerd deVries, Frauke Wilm, Christof A Bertram, Mitko Veta, Paul J vanDiest

“…Considering the potential of AI to improve reproducibility of MC between pathologists, we undertook the next validation step by evaluating the prognostic value of a fully automatic method to detect and count mitoses on whole slide images using a deep learning model. …”
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Computer-Aided Evaluation of Interstitial Lung Diseases by Davide Colombi, Maurizio Marvisi, Sara Ramponi, Laura Balzarini, Chiara Mancini, Gianluca Milanese, Mario Silva, Nicola Sverzellati, Mario Uccelli, Francesco Ferrozzi

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Automatic construction of global cloud sample database based on Landsat imagery by Tao He, Guihua Huang, Lei Zhang, Daiqiang Wu, Yichuan Ma

“…Accurately identifying clouds in imagery is a key preprocessing step in satellite remote sensing applications. In order to address problems of cloud samples required for cloud detection, such as reliance on manual interpretation, high collection costs, and limited quantity, this paper proposed a universal and automatic construction algorithm for cloud sample database (UAC-CSD) to create a large database of accurate and representative global cloud samples. …”
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ST-YOLOv8: Small-Target Ship Detection in SAR Images Targeting Specific Marine Environments by Fei Gao, Yang Tian, Yongliang Wu, Yunxia Zhang

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Metabolic alterations driven by LDHA in CD8 + T cells promote immune evasion and therapy resistance in NSCLC by Hao Wen, Panpan Zhang, Juan Zhao, Yakui Liu, Lei Wan, Haoran Li, Jun Yi, Xinqiang Li

“…Notably, the StepCox[forward] + Lasso model was instrumental in pinpointing key genes that significantly impact disease prognosis. …”
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STSA‐Based Early‐Stage Detection of Small Brain Tumors Using Neural Network by Nafiul Hasan, Md. Masud Rana, Md Mahmudul Hasan, AKM Azad, Dil Afroz, Md Mostafizur Rahman Komol, Mousumi Aktar, Mohammad Ali Moni

“…This study introduces a machine learning‐based classification approach for early‐stage Astrocytoma tumors (grades I and II) using step‐constant tapered slot antenna (STSA) parameters. …”
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Transformation of peptides to small molecules in medicinal chemistry: Challenges and opportunities by Zeyu Han, Zekai Shen, Jiayue Pei, Qidong You, Qiuyue Zhang, Lei Wang

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Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

“…This work aimed to develop a machine learning model for predicting LRRC using radiomic features extracted from 18F-FDG Positron Emission Tomography/Computed Tomography (PET/CT). …”
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Multi-cohort study in gastric cancer to develop CT-based radiomic models to predict pathological response to neoadjuvant immunotherapy by Ze-Ning Huang, Hao-Xiang Zhang, Yu-Qin Sun, Xing-Qi Zhang, Yi-Fen Lin, Cai-Ming Weng, Chao-Hui Zheng, Ping-Li, Jia-Bin Wang, Qi-Yue Chen, Long-Long Cao, Mi Lin, Ru-Hong Tu, Chang-Ming Huang, Jian-Xian Lin, Jian-Wei Xie

“…Radiomic features were extracted from CT images, and a multi-step feature selection procedure was applied to identify the top 20 representative features. …”
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Evaluation of Concept Maps Strategy in Learning al-Qowa’id al-Nahwiyyah l Taqwim Istiratijiyyah Kharaith al-Mafahim fi Ta’lim al-Qawa’id al-Nahwiyyah by Nur Qomari, Khairul Mizan, Fatimatuz Zahro, Bakri Mohammed Bakheet Ahmed, Khusnul Khotimah

“… Learning al-Qowa’id al-Nahwiyyah  required an effective approach. …”
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Integrating Food Preference Profiling, Behavior Change Strategies, and Machine Learning for Cardiovascular Disease Prevention in a Personalized Nutrition Digital Health Interventio... by Hana Fitria Navratilova, Anthony David Whetton, Nophar Geifman

“…The pipeline included three steps: (1) developing a simplified food preference profiling tool, (2) creating a cardiovascular disease (CVD) prediction model using the subsequent profiles, and (3) selecting intervention features. …”
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Comprehensive Review of Intrusion Detection Techniques: ML and DL in Different Networks by Imane Rakine, Aziz Oukaira, Kamal El Guemmat, Issam Atouf, Sara Ouahabi, Mohamed Talea, Tarik Bouragba

“…Organizations must rely on effective Intrusion Detection Systems (IDS) to detect both known and novel attacks. Therefore, Machine Learning (ML) and Deep Learning (DL) techniques have been widely used for intrusion detection. …”
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Teaching Commons through the Game of Musical Chairs by Alekos Pantazis

“…This article presents the stages, the form, the content and the educational approach of the three-hour workshop and discusses further steps based on participants’ reflections and criticism. …”
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Caractérisation pragmatique des phases et déterminants de l’enrôlement des élèves en difficulté par des professeurs des écoles by Éric Saillot

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Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS by Ranjit Lall, Thomas Robinson

“… This paper introduces software packages for efficiently imputing missing data using deep learning methods in Python (MIDASpy) and R (rMIDAS). …”
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Repères sociolinguistiques pour l’enseignement de l’intercompréhension by Maria Helena de Araújo e Sá, Sílvia Melo-Pfeifer

“…Louise Dabène was one of a pioneer in the research on intercomprehension (IC), influencing the development of plurilingual education. Following her steps, an international research group was developed and further developed Dabène’s research on IC, starting with the written IC between pairs of languages (with Galatea), until teacher education to deal with IC as a teaching and learning resource (with Galapro). …”
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Matrix computation over homomorphic plaintext-ciphertext and its application by Yang LIU, Linhan YANG, Jingwei CHEN, Wenyuan WU, Yong FENG

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Reconstruction of 12-lead ECG: a review of algorithms by Ekenedirichukwu N. Obianom, G. André Ng, G. André Ng, G. André Ng, G. André Ng, Xin Li, Xin Li, Xin Li

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Self-Concept Used by Autonomous Multilingual Learner for Improving Speaking Ability by Anna Ashry Savirah Elbagiz, Adityo

“…There are several difficulties in learning foreign languages such as insecurity of dual abilities, comments from other people, unwillingness to learn, fear of taking a risk for correcting other people’s oversight, difficulty to get the facilities, and getting rid of boredom. …”
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The mediating effect of students’ attitude to student career aspiration and mathematics achievement by Quiliano Jr Gonzales Oracion, Ivy Lyt Sumugat Abina

“…The latter is the only relationship that is significant among all steps, and thus full and partial mediation analysis will not be warranted. …”
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