An efficient leukemia prediction method using machine learning and deep learning with selected features. by Mahwish Ilyas, Muhammad Ramzan, Mohamed Deriche, Khalid Mahmood, Anam Naz

“…Deep learning methods have been shown to outperform traditional methods in leukemia gene classification by utilizing specific features.…”
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Learning Ordinality in Semantic Segmentation by Ricardo P. M. Cruz, Rafael Cristino, Jaime S. Cardoso

“…While existing deep learning approaches achieve high accuracy, they often overlook the ordinal relationships between classes, which can provide critical domain knowledge (e.g., the pupil lies within the iris, and lane markings are part of the road). …”
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Enhancement of memory and emotional functions by long-term ingestion of protease-treated porcine liver extract in mice by Taiga Kurihara, Masanori Sasanuma, Masahiro Kato, Toshio Inoue, Naoko Okada, Teruki Shirayama, Yusuke Tanikawa, Taiki Kawahara, Kazuhiro Sohya, Hiroki Yasuda, Yoshikazu Matsuda, Takeshi Uemura

“…Previous studies have shown that ingesting a protease-treated porcine liver decomposition product (PLDP) improves cognitive function in humans. …”
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Classification of patients with lithium-treated bipolar disorder based on gene expression: Dirichlet Bayesian network model by Nader Salari, Sahar Souri Pilangorgi, Afshin Almasi, Soodeh Shahsavari, Andrew J. Fournier

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Modeling suction of unsaturated granular soil treated with biochar in plant microbial fuel cell bioelectricity system by K. C. Onyelowe, Ahmed M. Ebid, Rosa Belén Ramos Jiménez, Viroon Kamchoom, M. Vishnupriyan, Krishna Prakash Arunachalam

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Prognosis modelling of adverse events for post-PCI treated AMI patients based on inflammation and nutrition indexes by Liu Yang, Li Du, Yuanyuan Ge, Muhui Ou, Wanyan Huang, Xianmei Wang

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Personalized prediction of glycemic responses to food in women with diet-treated gestational diabetes: the role of the gut microbiota by Polina V. Popova, Artem O. Isakov, Anastasiia N. Rusanova, Stanislav I. Sitkin, Anna D. Anopova, Elena A. Vasukova, Alexandra S. Tkachuk, Irina S. Nemikina, Elizaveta A. Stepanova, Angelina I. Eriskovskaya, Ekaterina A. Stepanova, Evgenii A. Pustozerov, Maria A. Kokina, Elena Y. Vasilieva, Lyudmila B. Vasilyeva, Soha Zgairy, Elad Rubin, Carmel Even, Sondra Turjeman, Tatiana M. Pervunina, Elena N. Grineva, Omry Koren, Evgeny V. Shlyakhto

“…Abstract We developed a prediction model for postprandial glycemic response (PPGR) in pregnant women, including those with diet-treated gestational diabetes mellitus (GDM) and healthy women, and explored the role of gut microbiota in improving prediction accuracy. …”
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Scrotal Tissue Necrosis in a Patient with Urethral Stricture Treated with Internal Urethrotomy and Mitomycin-C Injection by Bahadır Topuz, Sercan Yılmaz, Sami Uğuz, Hasan Cem Irkılata

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Effect of AEDs on Learning and Behavior by J Gordon Millichap

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Language learning in practical training

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Navigating the Challenges and Opportunities of Tiny Deep Learning and Tiny Machine Learning in Lung Cancer Identification by Yasir Salam Abdulghafoor, Auns Qusai Al-Neami, Ahmed Faeq Hussein

“… Lung cancer is the most common dangerous disease that, if treated late, can lead to death. It is more likely to be treated if successfully discovered at an early stage before it worsens. …”
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Development of Interactive Learning Application CHEM-OWL (Substances and Their Changes) to Increase Students' Interest in Learning by M. Ilham Habiburrochman, Kriesna Kharisma Purwanto

“…The N-gain value of students' learning interest before and after being treated with the media was 0.57, which falls under the moderate category. …”
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Disturbance of neurotransmitter metabolites in peripheral blood of schizophrenia patients treated with olanzapine: a preliminary targeted metabolomic study by Jiajun Yin, Yansha Gan, Chenguang Jiang, Jun Wang, Zhenhe Zhou

“…Methods We recruited 40 SCZ treated with single-agent olanzapine and 40 healthy controls (HC). …”
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Single-cell and spatial transcriptomics reveals an anti-tumor neutrophil subgroup in microwave thermochemotherapy-treated lip cancer by Bingjun Chen, Huayang Fan, Xin Pang, Zeliang Shen, Rui Gao, Haofan Wang, Zhenwei Yu, Tianjiao Li, Mao Li, Yaling Tang, Xinhua Liang

“…Abstract Microwave thermochemotherapy (MTC) has been applied to treat lip squamous cell carcinoma (LSCC), but a deeper understanding of its therapeutic mechanisms and molecular biology is needed. …”
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Synergic prognostic value of 3D CT scan subcutaneous fat and muscle masses for immunotherapy-treated cancer by Caroline Robert, Aurélien Marabelle, Fabrice Barlesi, Samy Ammari, David Planchard, Siham Farhane, Paul-Henry Cournède, Pierre Decazes, Younes Belkouchi, Léo Mottay, Littisha Lawrance, Antoine de Prévia, Hugues Talbot, Florian Guisier, Tony Ibrahim, Pierre Vera, Nathalie Lassau

“…Background Our aim was to explore the prognostic value of anthropometric parameters in a large population of patients treated with immunotherapy.Methods We retrospectively included 623 patients with advanced non-small cell lung cancer (NSCLC) (n=318) or melanoma (n=305) treated by an immune-checkpoint-inhibitor having a pretreatment (thorax-)abdomen-pelvis CT scan. …”
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Tower Hamlets Community Learning Disability Service: Sodium Valproate Audit for Male Patients With Learning Disabilities by Huan Tan, Sehrish Ali, David Prior, Kainat Khan, Nicole Eady

“…Aims: People with learning disabilities are at a higher risk of developing epilepsy and bipolar disorder. …”
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Students’ Motivation, Learning Strategies, and Math Performance in the Modular Distance Learning During the COVID-19 Pandemic by Eldee R. Balolong, Melissa R. Gerzon, Stephen J. Manilag, Emerson D. Peteros, Jonathan O. Etcuban

“…Results revealed that the respondents had motivational levels classified as moderately motivated; meanwhile, under the learning strategies, the respondents agreed on the methods employed towards learning General Mathematics. …”
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Students’ Motivation, Learning Strategies, and Math Performance in the Modular Distance Learning During the COVID-19 Pandemic by Eldee R. Balolong, Melissa R. Gerzon, Stephen J. Manilag, Emerson D. Peteros, Jonathan O. Etcuban

“…Results revealed that the respondents had motivational levels classified as moderately motivated; meanwhile, under the learning strategies, the respondents agreed on the methods employed towards learning General Mathematics. …”
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The dynamic case-based learning model: conducive to enhancing the practical learning effectiveness of dermatology for medical students by Yidan Li, Li Lei, Ling Jiang, Ping Mao, Chuhan Fu, Jing Chen, Qinghai Zeng

“…They self-evaluated that the new model would greatly improve their attention (92.2%), learning interest (89.9%), self-directed learning ability (89.9%), dynamic understanding of lesions (96.9%), and ability to diagnose and treat skin diseases (95.4%). …”
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Deep learning on medical image analysis by Jiaji Wang, Shuihua Wang, Yudong Zhang

“…The paper also discusses how transfer learning has been applied to different areas within medical image analysis. …”
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