A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions by Chen Wang, Justin E. Stopa, Doug Vandemark, Ralph Foster, Alex Ayet, Alexis Mouche, Bertrand Chapron, Peter Sadowski

“…The dataset complements existing hand‐labelled ocean SAR image datasets and offers the potential for new deep‐learning SAR image classification model developments. …”
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Development of a model for detection and analysis of inclusions in tomographic images of iron castings using decision trees by Dorota Wilk-Kołodziejczyk, Aleksandra Nowotny, Izabela Krzak, Adam Tchórz, Krzysztof Jaśkowiec, Marcin Małysza, Adam Bitka, Mirosław Głowacki, Marzanna Książek, Łukasz Marcjan

“…The available (experimental) data make it possible to unequivocally identify belonging to one of these groups. The use of machine learning methods to recognize the relationships between the physical parameters of particles helps to improve the analysis process. …”
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Effectiveness of a training program for the acquisition of motor milestones in infants: a randomized clinical trial by Luis Fernández-Sola, Beatriz Cano-Díez, Yessica Pons-Solaz, Begoña Vera-Egido, Sergio Moreno-González

“…The experimental group scored significantly higher, with a 25-point higher percentile in each assessment. Conclusion A learning program aimed at increasing parents’ knowledge of their infant´s gross motor development improved it. …”
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Algorithm of Strawberry Disease Recognition Based on Deep Convolutional Neural Network by Li Ma, Xueliang Guo, Shuke Zhao, Doudou Yin, Yiyi Fu, Peiqi Duan, Bingbing Wang, Li Zhang

“…In this paper, based on the deep convolution neural network technology, the recognition of strawberry common diseases was studied, as well as a new method based on deep convolution neural network (DCNN) strawberry disease recognition algorithm, through the normal training of strawberry image feature representation in different scenes, and then through the application of transfer learning method, the strawberry disease image features are added to the training set, and finally the features are classified and recognized to achieve the goal of disease recognition. …”
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Is Everyone Beating Around the Bush?: A Qualitative Study Examining the Status of Shared Decision-Making Between Veterans Affairs Providers and Surgical Patients in the ICU by M. Andrew Millis, MD, MPH, C. Ann Vitous, MA, MPH, Cara Ferguson, BS, Maedeh Marzoughi, BS, Erin Kim, BS, Sarah E. Bradley, PhD, MPH, CPH, Ashley Duby, MS, Pasithorn A. Suwanabol, MD, MS

“…Participant dialogue was deductively mapped into 8 established SDM components: describing treatment options; determining roles in the decision-making process; fostering partnerships; health care professional preferences; learning about the patient; patient preferences; supporting the decision-making process; and tailoring the information. …”
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Algorithm of Behaviour of Virtual Avatars During Public Speaking Training in a VR Environment by Karol Jędrasiak, Robert Robert Wolański, Damian Bereska

“…The virtual avatars, powered by the algorithm, were able to simulate realistic human behaviours and responses, thus providing a more engaging and immersive learning experience for users. The application offered a variety of realistic training scenarios, interactive avatar feedback, customisation options, and progress tracking and analysis features. …”
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Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification by Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, Igor Fortel, Liang Zhan, Alex Leow, Giuseppe Baselli

“…As the leading cause of dementia worldwide, Alzheimer’s Disease (AD) has prompted significant interest in developing Deep Learning (DL) approaches for its classification. However, it currently remains unclear whether these models rely on established biological indicators. …”
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Massively parallel homogeneous amplification of chip-scale DNA for DNA information storage (MPHAC-DIS) by Zhi Weng, Jiangxue Li, Yi Wu, Xuehao Xiu, Fei Wang, Xiaolei Zuo, Ping Song, Chunhai Fan

“…Specifically, even a ~ 1 ×  sequencing depth, with the combination of machine learning, results in an acceptable decoding accuracy of ~80%. …”
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Exploring the paradigm shift towards sustainability: A systematic literature review on circular economy and eco-innovation by Ruchira R N Ghormare, Sana Fatima, Priya Grover, Nidhi Phutela, Vinay Kandpal, Ernesto D. R. Santibanez Gonzalez

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A glimpse into the future: Integrating artificial intelligence for precision HER2‐positive breast cancer management by Xinpei Deng, Yixuan Yan, Zekai Zhan, Jindong Xie, Hailin Tang, Yutian Zou, Jian Tu, Peng Liu

“…Therefore, evaluating patient HER2 status and ascertaining responsiveness to anti‐HER2 therapy is crucial. The advent of deep learning has propelled the artificial intelligence (AI) revolution, leading to an increased applicability of AI in predictive models. …”
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The optimal treatment of invasive ductal and lobular carcinoma occurring at the same time needs to be established by Supriya Peshin, Rafi Iftekher, Rabia Iqbal, Shagun Singh, Moka Nagaishwarya

“…Our approach integrates the best available evidence with multidisciplinary expertise to inform a personalised treatment plan. The learning points emphasise the need for establishing evidence-based strategies for managing synchronous bilateral breast cancers.…”
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Students with disabilities in higher education call for personal empowerment, equitable inclusive systems, and individualized accommodations by Paul A. Bartolo, Michelle Borg, Anne-Marie Callus, Liberato Camilleri, Alistair De Gaetano, Marchita Mangiafico, Edward Mazzacano D'Amato, Carmen Sammut, Ramona Vella Vidal, Jonathan Vincent

“…They need to create a diversity respectful ethos and socio-emotional support that promotes everyone's membership in the university community, while adopting a universal design for learning mindset that is open to the diverse needs of students and providing a smooth system of accommodations for other individual needs.…”
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The Protective Effect of Mangiferin on Formaldehyde-Induced HT22 Cell Damage and Cognitive Impairment by Fan Chen, Na Wang, Xinyan Tian, Juan Su, Yan Qin, Rongqiao He, Xiaping He

“…Further studies showed that the intragastric administration of 40 mg/kg/day MGF for 6 weeks significantly improved spatial learning ability and long-term memory in C57/BL6 mice with FA-induced cognitive impairment by reducing Tau hyperphosphorylation and the expression of GRP78, GSK-3β, and CaMKII in the brains. …”
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Multilevel Precision-Based Rational Design of Chemical Inhibitors Targeting the Hydrophobic Cleft of Apical Membrane Antigen 1 (AMA1) by Umashankar Vetrivel, Shalini Muralikumar, B Mahalakshmi, K Lily Therese, HN Madhavan, Mohamed Alameen, Indhuja Thirumudi

“…Furthermore, binding free energy calculations of these two compounds also revealed a significant affinity to AMA1. Machine learning approaches also predicted these two compounds to possess more relevant activities. …”
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Educational Function of the State as an Object of Administrative and Legal Regulation by V. V. Abroskin

“…As a result of revealing the essence of the categories “function of the state” and “education” the author has formulated own definition of the concept of “educational function of the state” as the direction conditioned by the social purpose of the state, during which the state (in the form of state and non-state subjects of educational activity) creates proper conditions to meet the needs of citizens for their intellectual, spiritual, physical and cultural development, to provide them with equal access to educational services, which, as a consequence, may lead to the achievement of the planned learning outcomes. The conclusion about the two-component purpose of the educational function of the state has been made. …”
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Diabetes self-management education (DSME) for older persons in Western countries: A scoping review. by Pilar Camargo-Plazas, Madison Robertson, Beatriz Alvarado, Geneviève C Paré, Idevania G Costa, Lenora Duhn

“…Such experiential knowledge is vital in developing educational programs to ensure alignment with this population's preferred learning styles, literacy levels, culture, and needs-such an approach could manifest more substantive, sustained results.…”
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An Educational Web-Based Expert System for Novice Highway Technology in Flexible Pavement Maintenance by Abdalrhman Milad, Nur Izzi Md. Yusoff, Sayf A. Majeed, Zainab Hasan Ali, Mohmed Solla, Nadhir Al-Ansari, Riza Atiq Rahmat, Zaher Mundher Yaseen

“…Due to all mentioned, a new drive to promote online learning paves the way to evaluate our future approach to curriculum development and delivery of educational materials for engineering courses. …”
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Dynamic Analysis of <i>Spartina alterniflora</i> in Yellow River Delta Based on U-Net Model and Zhuhai-1 Satellite by Huiying Li, Guoli Cui, Haojie Liu, Qi Wang, Sheng Zhao, Xiao Huang, Rong Zhang, Mingming Jia, Dehua Mao, Hao Yu, Zongming Wang, Zhiyong Lv

“…The U-Net model, coupled with the Relief-F algorithm, achieved a superior extraction accuracy (Kappa > 0.9 and overall accuracy of 93%) compared to traditional machine learning methods. From 2019 to 2021, <i>S. alterniflora</i> expanded rapidly, increasing from 4055.06 hm² to 6105.50 hm², primarily in tidal flats and water bodies. …”
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Leadership and management skills for student nurses: a scoping review by Hadi Zulhiqman Abdul-Rahim, Shahrimawati H. Sharbini, Mursidi Ali, Sarena Haji Hashim, Khadizah H. Abdul-Mumin

“…However, while various assessment tools and workshops exist to train these skills, the studies suggest that more time and resources are needed to effectively address students’ learning needs.…”
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Individual Differences in Behavioural Despair Predict Brain GSK-3beta Expression in Mice: The Power of a Modified Swim Test by Tatyana Strekalova, Nataliia Markova, Elena Shevtsova, Olga Zubareva, Anastassia Bakhmet, Harry M. Steinbusch, Sergey Bachurin, Klaus-Peter Lesch

“…Here, we studied a novel mouse paradigm that potentially models augmented learning of adverse memories during development of a depressive-like state. …”
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