Qualitative analysis of patients’ feedback from a PROMs survey of cancer patients in England by Richard Wagland, Jessica Corner, Adam Glaser, Sir Mike Richards

“…Mediating factors assisting recovery incorporated both professional-led factors, such as quality of preparation for anticipated problems and aftercare services, and participant-led factors, such as learning from other cancer survivors and self-learning through trial and error. …”
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Awareness and Attitudes of Medical Students, Interns, and Residents Toward Telemedicine in Medical Education During the COVID-19 Pandemic: Survey-Based Cross-Sectional Study From... by Rahmat Allah Sharififar, Mahdi Mazandarani, Narges Lashkarbolouk, Somayeh Ghorbani

“…Responses to “Using e-learning courses alongside postcrisis face-to-face courses” and “Using e-learning courses alone postcrisis” varied among the groups (R: 58.1% and 54.9%, I: 59% and 58.2%, S: 47.6% and 45.3%). …”
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Silver Nanoparticles Conjugate Attenuates Highly Active Antiretroviral Therapy-Induced Hippocampal Nissl Substance and Cognitive Deficits in Diabetic Rats by Sodiq Kolawole Lawal, Samuel Oluwaseun Olojede, Ayobami Dare, Oluwaseun Samuel Faborode, Edwin Coleridge S. Naidu, Carmen Olivia Rennie, Onyemaechi Okpara Azu

“…The diabetic control rats showed a significant increase in blood glucose, reduced spatial learning, positive hippocampal Nissl-stained cells, and a significant decrease in GSH and SOD levels. …”
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A Spectral Transfer Function to Harmonize Existing Soil Spectral Libraries Generated by Different Protocols by Nicolas Francos, Daniela Heller-Pearlshtien, José A. M. Demattê, Bas Van Wesemael, Robert Milewski, Sabine Chabrillat, Nikolaos Tziolas, Adrian Sanz Diaz, María Julia Yagüe Ballester, Asa Gholizadeh, Eyal Ben-Dor

“…Soil spectral libraries (SSLs) are important big-data archives (spectra associated with soil properties) that are analyzed via machine-learning algorithms to estimate soil attributes. Since different spectral measurement protocols are applied when constructing SSLs, it is necessary to examine harmonization techniques to merge the data. …”
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The technical-reasoning network is recruited when people observe others make or teach how to make tools: An fMRI study by Alexandre Bluet, Emanuelle Reynaud, Giovanni Federico, Chloé Bryche, Mathieu Lesourd, Arnaud Fournel, Franck Lamberton, Danielle Ibarrola, Yves Rossetti, François Osiurak

“…Here, we contribute to this double process approach by reporting an fMRI study about the neurocognitive origins of social learning. Participants watched videos depicting tool-making episodes in three social-learning conditions: reverse engineering, observation, and teaching. …”
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Managing ADHD Symptoms in Children Through the Use of Various Technology-Driven Serious Games: A Systematic Review by Aikaterini Doulou, Pantelis Pergantis, Athanasios Drigas, Charalampos Skianis

“…Due to their poor attention and concentration, they find it challenging to stay focused when learning. They need help to retain the directions given by teachers and are very animated. …”
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The impact of online education during the Covid-19 pandemic on the professional identity formation of medical students: A systematic scoping review. by Jonathan Zhen Liang, Donovan Kai Wei Ng, Vijayprasanth Raveendran, Mac Yu Kai Teo, Elaine Li Ying Quah, Keith Zi Yuan Chua, Jun Kiat Lua, Jasmine Lerk Juan Owyong, Andrew Vimal Vijayan, Nur Amira Binte Abdul Hamid, Ting Ting Yeoh, Eng Koon Ong, Gillian Li Gek Phua, Stephen Mason, Warren Fong, Crystal Lim, Natalie Woong, Simon Yew Kuang Ong, Lalit Kumar Radha Krishna

“…However, an almost exclusive reliance on online learning during the COVID-19 pandemic offers a unique opportunity to study the elemental structures that shape PIF and the environmental factors nurturing it. …”
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Establishing a GRU-GCN coordination-based prediction model for miRNA-disease associations by Kai-Cheng Chuang, Ping-Sung Cheng, Yu-Hung Tsai, Meng-Hsiun Tsai

“…In recent years, machine learning (ML) and deep learning (DL) techniques are powerful tools to analyze large-scale biological data. …”
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Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer by Sandeep Dwarkanth Pande, Pala Kalyani, S Nagendram, Ala Saleh Alluhaidan, G Harish Babu, Sk Hasane Ahammad, Vivek Kumar Pandey, G Sridevi, Abhinav Kumar, Ebenezer Bonyah

“…Researchers have explored numerous machine learning (ML) techniques and deep learning (DL) approaches aimed at the automated recognition of liver disease by analysing computed tomography (CT) images. …”
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Psychological and Behavioral Insights From Social Media Users: Natural Language Processing–Based Quantitative Study on Mental Well-Being by Xingwei Yang, Guang Li

“…We empirically evaluated the effectiveness of our framework by applying machine learning models to detect depression, reporting accuracy, recall, precision, and F1-score using social media status updates from 1047 users along with their associated depression diagnosis questionnaire scores. …”
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Role of the regulator in enabling a just culture: a qualitative study in mental health and hospital care by Roland Bal, Ian Leistikow, Jan-Willem Weenink, Iris Wallenburg, Guy Widdershoven, Laura Hartman, Eva van Baarle

“…First, professionals and managers in healthcare organisations perceive the inspectorate as a potential catalyst for learning processes, for example, as an instigator of investigating incidents thoroughly, yet also as a potential barrier as its presence and procedures limit how open employees feel they can be. …”
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Novel insights into immunopathogenesis and crucial biomarkers between primary open‐angle glaucoma and systemic lupus erythematosus by Yixian Liu, Mengling You, Zhou Zeng, Jing Wang, Rong Rong, Xiaobo Xia

“…Additionally, machine learning identified five biomarkers, and we established associated transcription factors and miRNA regulatory networks. …”
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Analysis of Feature Extraction and Anti-Interference of Face Image under Deep Reconstruction Network Algorithm by Jin Yang, Yuxuan Zhao, Shihao Yang, Xinxin Kang, Xinyan Cao, Xixin Cao

“…The results show that the proposed algorithm has the best face recognition effect when the learning rate is 0.0004, the attenuation coefficient is 0.0001, the training method is SGD, and dropout is 0.1 (accuracy: 99.03%, loss: 0.0047, training time: 352 s, and overfitting rate: 1.006), and the algorithm proposed in this paper has the largest mean average precision compared to other CNN algorithms. …”
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Modeling a Virtual World for the Educational Game Calangos by Angelo C. Loula, Leandro N. de Castro, Antônio L. Apolinário, Pedro L. B. da Rocha, Maria da Conceição L. Carneiro, Vanessa Perpétua G. S. Reis, Ricardo F. Machado, Claudia Sepulveda, Charbel N. El-Hani

“…Nonetheless, the teaching and learning of ecology face a number of difficulties. …”
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Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by RAHMAT, Munirul ula, Zara Yunizar

“…While DMA is well-suited for stable trends and GRU excels in volatile conditions, LSTM outperforms both, reinforcing the effectiveness of deep learning for financial time-series forecasting.…”
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Poverty and Academic Performance of primary Schools in Kabale Municipality. by Justus, Niwagaba

“…Families with conducive and flexible learning environments provided the pupils with reading and writing skills which were benchmarks for good performances. …”
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New Horizons In The Treatment Of Metastatic Castrate Resistant Prostate Cancer by Zein El Amir

“…Computer-assisted learning utilizing 2-D and 3-D imaging, virtual dissection, radiological aids, live surgical streaming, and modern educational tools like Problem-Based learning needs to be integrated especially in a country like Pakistan where most students still learn anatomy swotting over bland textbooks with the occasional once-in-a-lifetime trip to a poorly equipped dissection hall. …”
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Anatomy In The Undergraduate Medical Curriculum; Blending The Old And New by Ayesha Yousaf

“…[xvi] Computer assisted learning utilizing 2-D and 3-D imaging, virtual dissection, radiological aids, live surgical streaming[xvii] and modern educational tools like Problem-Based learning need to be integrated especially in a country like Pakistan where most students still learn anatomy swotting over bland textbooks with the occasional once-in-a-lifetime trip to a poorly equipped dissection hall. …”
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Keep Your Mentee Disappointed by Gil Eyal

“…I argue that this process cannot be understood with our model of liberal education, because being mentored as a sociologist involves learning a craft, and is akin to the ancient cultural model of apprenticeship. …”
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