Artificial intelligence-driven identification and mechanistic exploration of synergistic anti-breast cancer compound combinations from Prunella vulgaris L.-Taraxacum mongolicum Han... by Chunlai Feng, Jiaxi Cheng, Mengqiu Sun, Chunxue Qiao, Qiuqi Feng, Naying Fang, Yingying Ge, Mengjie Rui

“…These superior extracts were subjected to liquid chromatography-mass spectrometry (LC-MS) analysis to identify their constituent compounds. A deep learning-based prediction model, DeepMDS, was applied to predict synergistic anti-breast cancer multi-compound combinations. …”
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Combining a Risk Factor Score Designed From Electronic Health Records With a Digital Cytology Image Scoring System to Improve Bladder Cancer Detection: Proof-of-Concept Study by Sandie Cabon, Sarra Brihi, Riadh Fezzani, Morgane Pierre-Jean, Marc Cuggia, Guillaume Bouzillé

“…ObjectiveOur team aimed to evaluate the benefit of combining the reuse of massive clinical data to build a risk factor model and a digital cytology image–based model (VisioCyt) for bladder cancer detection. MethodsThe first step relied on designing a predictive model based on clinical data (ie, risk factors identified in the literature) extracted from the clinical data warehouse of the Rennes Hospital and machine learning algorithms (logistic regression, random forest, and support vector machine). …”
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Methodology for adapting a co-created early childhood development intervention and implementation strategies for use by frontline workers in India and Guatemala: a systematic appli... by Amruta Bandal, Sara Hernández, Revan Mustafa, Karyn Choy, Namrata Edwards, Magdalena Guarchaj, Marinés Mejía Alvarez, Anushree Sane, Scott Tschida, Chetna Maliye, Ann Miller, Abhishek Raut, Roopa Srinivasan, Morgan Turner, Bradley H. Wagenaar, Ilgi Ertem, Maria del Pilar Grazioso, Subodh S. Gupta, Vibha Krishnamurthy, Peter Rohloff

“…In 2021–2022, implementers, trainers, frontline workers, caregivers, and international GMCD experts collaborated to adapt the GMCD for a task shifted implementation by frontline workers. We used an eight-step co-creating process: assembling a multidisciplinary team, training on the existing package, working groups to begin modifications, revision of draft modifications, tailoring of visual materials and language, train-the-trainers activities, pilot frontline worker trainings, final review and feedback. …”
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An environmental health vocabulary and its semi-automated curation workflow by Michelle Angrish, Scott Burns, Joshua Cleland, Caroline Foster, Samuel Kovach, Kristan Markey, Brittany Schulz, Andy Shapiro, Michele Taylor, George Woodall, Sean Watford

“…The workflow described here removes the manual curation bottleneck by transforming data curation into a streamlined semi-automated process powered by computational text processing steps. This semi-automated curation method offers several advantages to the environmental health community including (but not limited to) efficiency by automating repeating data management tasks, scalability to a large volume of terms and terminology resources, and better integration with other data sets and artificial intelligence (AI) and machine learning (ML) models.…”
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COVID-19 Public Health Communication on X (Formerly Twitter): Cross-Sectional Study of Message Type, Sentiment, and Source by Sana Parveen, Agustin Garcia Pereira, Nathaly Garzon-Orjuela, Patricia McHugh, Aswathi Surendran, Heike Vornhagen, Akke Vellinga

“…A combination of manual content analysis with abductive coding and machine learning models were used to categorize sentiment, user category and message type for every tweet. …”
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Promoting motivation and reducing stress in medical students by utilizing self-determination theory – a randomized controlled trial in practical psychiatry courses by Nina Triebner, Franziska Sonnauer, Miriam Rauch, Gian-Marco Kersten, Christoph Rauch, Stefan Mestermann, Maximillian Bailer, Johannes Kornhuber, Janine Utz, Philipp Spitzer

“…Exclusively strengths-based positive feedback may have hindered exam performance, but optimizing educational concepts to promote motivation and reduce stress will be a valuable step toward improving medical students’ mental well-being.…”
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Motivations for Enrolment and Dropout of First-Year Undergraduate Nursing Students: A Pilot Multimethod Study by Elena Viottini, Alice Ferrero, Beatrice Albanesi, Johnny Acquaro, Giampiera Bulfone, Francesca Condemi, Donatella D’Accolti, Azzurra Massimi, Elisa Mattiussi, Roberta Sturaro, Alessio Conti, Valerio Dimonte

“…Other motivations for dropout were related to negative learning environments or feelings and difficulties related to course characteristics. …”
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Study-related demands, resources and curriculum from students’ perspective: results of a qualitative descriptive study among students in nursing and healthcare in Germany by Ivonne-Nadine Jürgensen, Annike Morgane Nock, Peter Koch, Albert Nienhaus, Corinna-Petersen Ewert

“…A nationwide, representative study would be a valuable next step.…”
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Development and validation of a cost-effective three-dimensional-printed cervical spine model for endoscopic posterior cervical foraminotomy training: a prospective educational stu... by Bilal Bahadır Akbulut, Elif Ezgi Çenberlitaş, Mustafa Serdar Bölük, Taşkın Yurtseven, Hüseyin Biçeroğlu

“…Facilitating early proficiency in posterior cervical foraminotomy can serve as a valuable intermediate step before transitioning to cadaveric models and clinical practice.…”
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Syn-MolOpt: a synthesis planning-driven molecular optimization method using data-derived functional reaction templates by Xiaodan Yin, Xiaorui Wang, Zhenxing Wu, Qin Li, Yu Kang, Yafeng Deng, Pei Luo, Huanxiang Liu, Guqin Shi, Zheng Wang, Xiaojun Yao, Chang-Yu Hsieh, Tingjun Hou

“…Abstract Molecular optimization is a crucial step in drug development, involving structural modifications to improve the desired properties of drug candidates. …”
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Autoencoder Reconstruction of Cosmological Microlensing Magnification Maps by Somayeh Khakpash, Federica B. Bianco, Georgios Vernardos, Gregory Dobler, Charles Keeton

“…We introduce a deep-learning model that is trained on pre-computed magnification maps covering the parameter space on a grid of κ , γ , and s . …”
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Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems by Muhammad Atif Butt, Asad Masood Khattak, Sarmad Shafique, Bashir Hayat, Saima Abid, Ki-Il Kim, Muhammad Waqas Ayub, Ahthasham Sajid, Awais Adnan

“…In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. …”
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The Impact of Rhythmic Gymnastics and Walking Exercise on The BMI and Fitness Levels of University Lecturers by Fatkur Rohman Kafrawi, Mochamad Purnomo, Kunjung Ashadi, Jose Vicente Garcia Jimenez, Afif Rusdiawan

“…For sample step control, samples are required to send a report of their daily steps that have been recorded through the Pedometer-SStep Counter App. …”
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Natural language access point to digital metal–organic polyhedra chemistry in The World Avatar by Simon D. Rihm, Dan N. Tran, Aleksandar Kondinski, Laura Pascazio, Fabio Saluz, Xinhong Deng, Sebastian Mosbach, Jethro Akroyd, Markus Kraft

“…In addition, we renovated Marie’s semantic parser to adopt in-context few-shot learning, allowing seamless interaction with TWA’s extensive MOP repository. …”
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The round-robin approach applied to nanoinformatics: consensus prediction of nanomaterials zeta potential by Dimitra-Danai Varsou, Arkaprava Banerjee, Joyita Roy, Kunal Roy, Giannis Savvas, Haralambos Sarimveis, Ewelina Wyrzykowska, Mateusz Balicki, Tomasz Puzyn, Georgia Melagraki, Iseult Lynch, Antreas Afantitis

“…A key step in building regulatory acceptance of alternative or non-animal test methods has long been the use of interlaboratory comparisons or round-robins (RRs), in which a common test material and standard operating procedure is provided to all participants, who measure the specific endpoint and return their data for statistical comparison to demonstrate the reproducibility of the method. …”
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Clinical efficacy of a personalized exercise program in the rehabilitation of patients with atrial fibrillation after radiofrequency ablation by M. G. Bubnova, D. M. Aronov, M. M. Makhinova, K. V. Davtyan

“…The program included exercise complexes with the calculation of energy consumption, step training and walking. The program lasted 6 months, while the follow-up period — 12 months. …”
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An ecosystem approach to the evaluation and impact analysis of heterogeneous preventive and/or early interventions projects for veterans and first responders in seven countries by S. Lukersmith, L. Salvador-Carulla, C. Woods, T. Niyonsenga, M.R. Gutierrez-Colosia, I. Mohanty, C.R. Garcia-Alonso, D. Diaz-Milanes, J.A. Salinas-Perez, R. Davey, A. Aryani

“…Methods: We take an ecosystem real-world approach, which recognises the context and aims to manage the complexities involved, uses a complexity and systems perspective, multi-step mixed methods and approaches. The evaluation is from three perspectives of: Projects; Project comparisons; Grant program. …”
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Mechanical Anastomotic Coupling Device versus Hand-sewn Venous Anastomosis in Head and Neck Reconstruction—An Analysis of 1694 Venous Anastomoses by Rajan Arora, Kripa Shanker Mishra, Hemant T. Bhoye, Ajay Kumar Dewan, Ravi K. Singh, Ravikiran Naalla

“…Background There is a steep learning curve to attain a consistently good result in microvascular surgery. …”
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Evidence Based Gait Analysis Interpretation Tools (EB-GAIT) treatment recommendation and outcome prediction models to support decision-making based on clinical gait analysis data. by Michael H Schwartz, Andrew G Georgiadis

“…EB-GAIT represents a significant step toward precision medicine in CGA, offering a promising tool to enhance treatment outcomes and patient care. …”
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Identifikasi dan Asesmen terhadap Anak dengan Kesulitan Belajar by Rahmawati Rahmawati

“…This study discusses the identification and assessment of children with learning difficulties. Identification and assessment are very important steps in overcoming children's learning difficulties. …”
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