Clinical, genetic, and sociodemographic predictors of symptom severity after internet-delivered cognitive behavioural therapy for depression and anxiety by Olly Kravchenko, Julia Bäckman, David Mataix-Cols, James J. Crowley, Matthew Halvorsen, Patrick F. Sullivan, John Wallert, Christian Rück

“…Conclusions The findings suggest that a model incorporating a broad array of multimodal data offered a modest improvement in explanatory power compared to one using a limited set of easily accessible measures. Employing machine learning algorithms capable of capturing complex non-linear associations and interactions is a viable next step to improve prediction of post-ICBT symptom severity. …”
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INTEGRASI PENDIDIKAN SIAGA BENCANA DALAM KURIKULUM MADRASAH IBTIDAIYAH by MOHAMMAD SOFYAN AL-NASHR

“…One way is through the education, that is, integrate disaster preparedness education in learning. This step will have a major impact when done early, i.e. in primary school age (range 7-12 years old). …”
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Rice Leaf Disease Classification—A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2... by Monoronjon Dutta, Md Rashedul Islam Sujan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

“…The effectiveness of this step was measured by using metrics like the Structural Similarity Index (SSIM) and the Peak Signal-to-Noise Ratio (PSNR). …”
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Effectiveness of a new basic course incorporating medical trainer simulator for HEMS education in Japan: a pre-post intervention study by Kazuhiko Omori, Jiro Takahashi, Noriko Watanabe, Hiroko Iwasaki, Sachiko Mineyama, Kumiko Sakata, Kentaro Yamada, Susumu Ichikawa, Manabu Takamatsu, Ryukoh Ogino, Tatsuya Hayakawa

“…This standardized education program marks a significant step towards aligning Japan’s HEMS training with international standards.…”
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Teaching inequity in vector-borne diseases management through a socioscientific issue framework by Nicole A. Scavo, Sarah Poor, Francisco C. Ferreira, Yuexun Tian, Julia Gonzalez, Jordan Salomon

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Ensuring the Efficiency and Effectiveness of Joint Clinical Assessment in National HTA Decision-Making: Insights from the 2024 CIRS Multi-Stakeholder Workshop by Ting Wang, Neil McAuslane

“…Establishing metrics to assess the efficiency and effectiveness of the JCA is a key step in the HTAR’s ongoing learning journey. To enhance the efficiency of the JCA process, a list of metrics is recommended for continuous improvement, as well as establishing training programs to strengthen member states’ capabilities, fostering open dialog for sharing technology-specific insights, and creating open-source tools to support companies. …”
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Novel Advance Image Caption Generation Utilizing Vision Transformer and Generative Adversarial Networks by Shourya Tyagi, Olukayode Ayodele Oki, Vineet Verma, Swati Gupta, Meenu Vijarania, Joseph Bamidele Awotunde, Abdulrauph Olanrewaju Babatunde

“…Here we use the efficient representation learning of the ViTs to improve the realistic image production of the GAN. …”
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A Novel Method for 3D Lung Tumor Reconstruction Using Generative Models by Hamidreza Najafi, Kimia Savoji, Marzieh Mirzaeibonehkhater, Seyed Vahid Moravvej, Roohallah Alizadehsani, Siamak Pedrammehr

“…Our solution employs a GAN model trained with a reinforcement learning (RL)-based algorithm to mitigate this imbalance and enhance segmentation accuracy. …”
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Early Detection of Inter-Turn Short Circuits in Induction Motors Using the Derivative of Stator Current and a Lightweight 1D-ResNet by Carlos Javier Morales-Perez, David Camarena-Martinez, Juan Pablo Amezquita-Sanchez, Jose de Jesus Rangel-Magdaleno, Edwards Ernesto Sánchez Ramírez, Martin Valtierra-Rodriguez

“…The proposed approach utilizes a one-dimensional convolutional neural network (1D-CNN) enhanced with residual blocks and trained on differentiated stator current signals obtained under different load mechanical conditions. This preprocessing step enhances fault-related features, enabling improved learning while maintaining the simplicity of a lightweight CNN. …”
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Analyzing Random Forest’s Predictive Capability for Type 1 Diabetes Progression by Niels F. Cleymans, Mark Van De Casteele, Julie Vandewalle, Aster K. Desouter, Frans K. Gorus, Kurt Barbe

“…This explorative study aims to uncover the potential of random forest machine learning algorithms as survival models within the biomedical context of T1D. …”
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Clinical teaching behaviours of preceptors of undergraduate nursing students at a private teaching hospital in Islamabad, Pakistan: a convergent mixed-methods study protocol by Kainat Asmat, Afsar Jan, Shumaila Yasir, Saniya Raheel

“…Introduction Clinical learning is the crucial element of undergraduate nursing education, with preceptors playing a pivotal role in bridging theoretical knowledge and practical skills. …”
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Harnessing multi-omics and artificial intelligence: revolutionizing prognosis and treatment in hepatocellular carcinoma by Zhen Wang, Zhen Wang, Zhen Wang, Gangchen Zhou, Gangchen Zhou, Rongchuan Cao, Rongchuan Cao, Guolin Zhang, Guolin Zhang, Yongxu Zhang, Yongxu Zhang, Mingyue Xiao, Longbi Liu, Longbi Liu, Xuesong Zhang

“…The AIDRS, constructed using a multi-step machine learning approach, effectively predicted patient prognosis across multiple cohorts. …”
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Knowledge of nursing students about central venous catheters by Mlinar Suzana, Rašković-Malnaršić Rosanda

“…The authors therefore believe that, in future, the classes should be organized in smaller groups with step-by-step demonstrations of individual procedures in handling a CVC, and the students encouraged to learn as actively as possible.…”
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Peningkatan Kinerja Guru melalui Supervisi Edukatif Kolaboratif secara Periodik by Muhammad Noor

“…The purpose of this study was to describe the steps of collaborative educative supervision periodically in preparing learning plans, implementing learning, assessing learning achievement, carrying out follow-up on student achievement learning. …”
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Bridging the Gender Gap in Academia by Zainab Jehan, Saima Hamid, Shaheen Sardar Ali, Inayat Ali, Azra Yasmin, Ann Stewart

“…As a first step, a Training Needs Assessment (TNA) survey was conducted to ascertain the needs of mid-career women leaders from eighteen women-only universities of Pakistan. …”
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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…This study highlights the technological integration, addresses the challenges, and the substantial enhancements in automated machining processes facilitated by this innovative approach.Methods This study introduces a sophisticated Multi-level Video Transformer algorithm-based video classification model, the Multi-level Video Transformer, designed for high-level semantic video representation learning. This innovative model is developed to identify the clearest frame within a video sequence, a pivotal step for enhancing automated machining precision. …”
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EFEKTIVITAS PENGGUNAAN METODE THINK PAIR SHARE DALAM PEMBELAJARAN EKONOMI POKOK BAHASAN PEMBENTUKAN HARGA PASAR DI SMP by Joko Widodo

“…<p>The result of teaching-learning by using Think Pair Share method can improve the students’ activities. …”
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The use of besmart to improve students’ self-discipline in community economy course by Kiromim Baroroh, Yeni Nur Prilanita, Tejo Nurseto, Nita Maghfiratul Jannah

“…The use of e-learning applications in learning needs to consider the potential for improving students’ character. …”
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La femme du ménage by Florence Maillochon

“…Men’s and women’s temporalities gradually diverge through the various steps of wedding preparation (from elaboration of the project up to the "big day" itself). …”
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