Converting from Seepage Irrigation to Plasticulture for Vegetable Production: A Case Study by Charles E. Barrett, Lincoln Zotarelli, Lucas G. Paranhos, Mark W. Warren

“…The plasticulture system was designed to provide a small-scale installation of this technology for learning and commercial adaptation purposes. This small-scale system has great potential for encouraging adoption of this type of system with low risk to the grower. …”
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Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling by Jing Zhang, Tingyi Tan, Yuhao Jiang, Congming Tan, Liangliang Hu, Daowen Xiong, Yikang Ding, Guowei Huang, Junjie Qin, Yin Tian

“…Therefore, identifying working memory load is an essential area of research. Deep learning models have demonstrated remarkable potential in identifying the intensity of working memory load. …”
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Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach by Junyoung Byun, Jaewook Lee, Hyeongyeong Lee, Bumho Son

“…Traditional machine learning models often lack transparency, which poses challenges for stakeholders who need to understand the factors leading to predictions. …”
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The philosophical foundations of digital twinning by David J Wagg, Christopher Burr, Jason Shepherd, Zack Xuereb Conti, Mark Enzer, Steven Niederer

“…We also argue that digital twins naturally include aspects relating to the philosophy of artificial intelligence, including learning and exploitation of knowledge. We discuss the following four questions (i) What is the distinction between a model and a digital twin? …”
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Towards a net-zero healthcare system in Kenya: Stakeholder perspectives on opportunities, challenges and priorities by Iris Martine Blom, Melvine Anyango Otieno, Susannah Mayhew, Neil Spicer, Andy Haines, Sarah Whitmee

“…To turn these ambitious commitments into outcomes and share learnings with other nations, a comprehensive assessment of the perspectives of key stakeholders likely to be involved in implementing the transition of the healthcare system is needed. …”
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Exhausting the (Human) Problem by Annalaura Alifuoco

“…Through close attention to matter’s micropolitical attunements—barely perceptible shifts in how things move and hold still—we learn to notice what trembles at attention’s edge. …”
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“Feedback is communication between human beings”: understanding adolescents' conception of written qualitative feedback by Sining Tao, Wenjuan Qin

“…The study adds to a growing literature on adolescent writing development from the lens of interactive teaching and learning.…”
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A novel classification method for balance differences in elite versus expert athletes based on composite multiscale complexity index and ranking forests. by Yuqi Cheng, Dawei Wu, Ying Wu, Youcai Guo, Xinze Cui, Pengquan Zhang, Jie Gao, Yanming Fu, Xin Wang

“…We calculated the CMCI and used four machine learning algorithms-Logistic Regression, Support Vector Machine(SVM), Naive Bayes, and Ranking Forest-to combine these features and assess each participant's balance ability. …”
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Medicinal plants with neuroprotective potential in East African countries: A systematic review by Ibe Michael Usman, Ekom Monday Etukudo, Elna Owembabazi, Wusa Makena, Augustine Oviosun, Makeri Danladi, Vivian Ojiakor, Patrick Maduabuchi Aja, Emeka Anyanwu, Yanurkis Duranones Rosales, Mario Edgar Fernandez Diaz, Josiah Ifie, Ismahil Adekunle Adeniyi, Ilemobayo Victor Fasogbon, Victor Bassey Archibong

“…Behavioral outcomes aligned with these biochemical changes, showing marked improvements in memory and learning, motor activity, seizure threshold, and anxiety-like behavior. …”
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Salário de docente básico by Pedro Demo

“…It is very important to achieve, over time, a more visible correlation between the improvement of the teachers' remuneration and the improvement of students' learning.…”
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The case for development of a core outcome set (COS) and supplemental reporting guidelines for influenza vaccine challenge trial research in swine by Sheila Keay, Famke Alberts, Annette M. O’Connor, Robert Friendship, Terri O’Sullivan, Zvonimir Poljak

“…Clinical heterogeneity and reporting issues complicate and limit what can be learned cumulatively from research and both represent two types of avoidable research waste. …”
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Assessment of post-harvest fish losses at the fishers’ level in Lake Tana, Ethiopia by Solomon Birie, Minwyelet Mingist, Mulugeta Kibret

“…This is a good trend showing proper resource utilization to ensure food security, where other fishers from different parts of the country can learn from. …”
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THE ROLE OF DIGITAL LITERACY OF PRE-SERVICE AND IN-SERVICE EFL INSTRUCTORS IN POST PANDEMIC COVID-19 by H. Kubra Er

“…The digital proficiency of teachers is crucial for effective teaching and learning in the 21st century, especially in the context of foreign language education [1]. …”
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Artificially intelligent nursing homes: a scoping review of palliative care interventions by Isabel Ronan, Sabin Tabirca, Sabin Tabirca, David Murphy, Nicola Cornally, Mohamad M. Saab, Patrice Crowley

“…A broad range of machine learning solutions remain unused within the context of nursing home palliative care. …”
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The Yorùbá Social Values in Ọbasá’s Poetry by Saudat Adebisi Olayide Hamzat, Hezekiah Olufemi Adeosun

“…The study suggests that Ọbasá’s poems be studied holistically, and recommends that the poems should be reprinted and made available for scholarly work in institutions of learning. …”
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Construction of a prediction and visualization system for cognitive impairment in elderly COPD patients based on self-assigning feature weights and residual evolution model by Wenwen Cheng, Chen Yu, Xiaohui Liu

“…We aimed to build better machine learning models and provide useful tools to provide better guidance and assistance for COPD patients' treatment and care.MethodsA total of 863 COPD patients from a local general hospital were collected and screened, and they were separated into two groups: cognitive impairment (356 patients) and cognitively normal (507 patients). …”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…Traditional retention time approaches heavily rely on the use of standard compounds, which is limited by the speed of synthesis and manufacture of standard products, and is time-consuming and labor-intensive. Recently, machine learning and artificial intelligence algorithms have been applied to retention time prediction, which show unparalleled advantages over traditional experimental methods. …”
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Automating monitoring and evaluation data analysis by using an open-source programming language by Nadia Fouché, Melody Mentz-Coetzee

“…Although open-source programming languages such as Python are free to use, there are no libraries in Python aimed at the analyses needed for quantitative ME data, resulting in a steep learning curve for new Python users. Objectives: The objective of this article was to develop a Python library of functions to make Python a user-friendly alternative for analysing quantitative ME data. …”
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Features of the Processes of Digitalization of Small and Medium-Sized Businesses in Ukraine by Reshetnyak Olena I., Bielikova Nadiia V., Yurchenko Oleksiy K., Kalashnikova Kateryna Yu.

“…Recommendations on digitalization of SMEs in Ukraine in conditions of limited resources are provided: introduction of the «learning culture» in SMEs, which is important for the use of digital technologies; creating a roadmap for achieving the business goals of SMEs’ digitalization, setting clear priorities for digital transformations depending on the cruciality of the business problems they solve; establishing cooperation with companies that can be useful for ensuring effective digitalization processes, researching the experience of other companies; search for opportunities to receive grants and financial support from government programs and international organizations aimed at supporting the digitalization of SMEs; the use of agile approaches in the implementation of digital solutions to ensure constant readiness for rapid changes and adaptation to new market conditions.…”
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Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

“…Firstly, it employs the Elite Centroid Quasi-Oppositional Base Learning (ECQOBL) approach to improve the exploitation capabilities of conventional algorithms. …”
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