HARNESSING ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AGRICULTURE: A COMPREHENSIVE REVIEW OF AFRICAN APPLICATIONS IN SPATIAL ANALYSIS AND PRECISION AGRICULTURE by Obasi S.N, Tenebe V. A, Obasi C.C, Jokthan G.E, Adjei E.A, Keyagha E.R

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Using Natural Language Processing Models to Automate Text Labelling: Categorising Semantic Density in Preservice Teachers' Lesson Observation Reports by Thato Senoamadi, Lee Rusznyak, Ritesh Ajoodha

“… Education researchers have long had to choose between studies that provide rich insight into teaching and learning in a particular context and insight into broad patterns revealed from large-scale studies. …”
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“There’s always somebody that you can identify with”: a qualitative study of patient perspectives on buprenorphine group medical visits by Mariya Masyukova, Benjamin T. Hayes, Teresa López-Castro, Aaron D. Fox

“…Conclusions Findings demonstrate that many persons with OUD taking BUP desire assistance with recovery skills, peer support, and learning about the risks and benefits of BUP. Group medical visits can efficiently deliver these services in primary care, but findings also emphasize that group counseling will be best received when voluntary and group members are committed and authentic.…”
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Image Quality Assessment Based on Multi-Scale Representation and Shifting Transformer by Geng Fu, Ziyu Wang, Cuijuan Zhang, Zerong Qi, Mingzheng Hu, Shujun Fu, Yunfeng Zhang

“…The outstanding performance demonstrates that Swin-MIQ possesses robust learning and generalization capabilities across all referenced distorted databases.…”
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IAE-CDNet: A Remote Sensing Change Detection Network for Buildings With Interactive Attention-Enhanced by Zhaoyang Han, Linlin Zhang, Qingyan Meng, Chongchang Wang, Wenxu Shi, Maofan Zhao

“…Currently, the development of deep learning has had a positive impact on remote sensing image change detection tasks, but many current methods still face challenges in effectively processing global and local features, especially in the task of building change detection in high-resolution images containing complex scenes. …”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…The RFR algorithm integrates Bagging ensemble learning and random subspace theory to construct multiple decision trees and aggregate their predictions, thereby enhancing the model’s prediction accuracy and stability. …”
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Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

“…Abstract In this study, we combined state-of-the-art data modelling techniques (machine learning [ML] methods) and data from state-of-the-art low-cost particulate matter (PM) sensors (LCSs) to improve the accuracy of LCS-measured PM2.5 (PM with aerodynamic diameter less than 2.5 microns) mass concentrations. …”
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THE USING OF DIGITAL TOOLS IN THE PROJECT ACTIVITIES OF STUDENTS OF PEDAGOGICAL SPECIALTIES OF HIGHER EDUCATION INSTITUTIONS by Liudmyla Nezhyva, Svitlana Palamar, Nataliia Semenii

“…The main criteria for selecting digital tools were: simple interface (so students can master its functionality faster); compliance to the State Standard for Primary Education; didactic value; accessibility (the age of pupils and the ability to comprehend tasks developed with the help of the proposed digital tools were taken into account); technical and methodological support (present on all proposed digital resources, which facilitates understanding of their interface); very important criterion is the wide functionality on a free basis; the ability to adapt in various modern conditions during offline and online learning.  For increase studentsʼ readiness to use digital tools during project activities, the authors developed an methodology for using digital tools at each stage of work on projects and investigated their effectiveness. …”
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Optoelectric coordinated modulation of resistive switching behavior in perovskite based synaptic device by Yucheng Wang, Ruixi Huang, Wenyi Zhang, Dingyun Guo, Jiawei Zheng, Hexin Wang, Fobao Huang, Zhuoya Wang, He Guan

“…Due to its excellent synaptic plasticity, TCP facilitates advanced neural morphological operations like light-assisted learning. Here, a modifying layer of polythiophene (P3HT) was incorporated onto the TCP thin film to enhance the resistive switching (RS) characteristics of the synaptic device, which exhibits excellent stability (103 endurance cycles and > 103 s retention time) and low energy consumption (~ 6.3 pJ for electrical stimulus and ~ 6 pJ for optical stimulus). …”
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Creative-Motivated Citizen Science After-School STEAM Programme for Motivating Actions Related to the Oceanic Microplastics Problem by Tomomi Sayuda, Haruyuki Kinoshita, Fumitoshi Kato, Miles Pennington

“…Our goals are to encourage long-term community cooperation in research, learning about MP issues, and thinking about local solutions through this community participatory CS programme. …”
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From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring by Guerbaoui Mohammed, El Faiz Samira, Ed-Dahhak Abdelali, Lachhab Abdeslam, Benhala Bachir, Bakziz Zakaria, Ichou Ismail, Selmani Abdelouahed

“…Future enhancements could include the integration of additional sensors and the application of machine learning algorithms for predictive analytics. Overall, the project demonstrates the potential of IoT and data analytics in addressing real-world challenges related to environmental monitoring.…”
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EXPLORING THE NEXUS BETWEEN WOMEN'S EMPOWERMENT PROGRAMS, EDUCATIONAL ATTAINMENT, AND AGE DIFFERENCES IN POVERTY ALLEVIATION IN NIGERIA by NNANA OKOI OFEM, TIKU ORU TAKIM, TANGBAN EGBE EBAGU, RITA NGOZI OKAFOR

“…Three theories were used to support the study which includes empowerment theory, participatory model and social learning theory. Findings reveals that educational empowerment Impact," underscores how varying educational levels among women significantly influence their participation in and perceived benefits from empowerment initiatives. …”
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Assessment of Student IPEC Competency Using Observer-Based Evaluation in Didactic Interprofessional Education Activities by Jacqueline Zeeman, Kimberly Sanders, Tia Belvin, Philip Rodgers

“…IPE competency requires multiple developmental experiences across diverse educational environments, including didactic and experiential learning. While literature outlines various IPE activities, gaps exist regarding IPE evaluation strategies with most published tools relying on self-evaluation. …”
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A conceptual approach to material detection based on damping vibration-force signals via robot by Ahmad Saleh Asheghabadi, Mohammad Keymanesh, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Jing Xu

“…After recording the damping force signal and vibration data from the load cell and accelerometer caused by the metal appendage's impact, features such as vibration amplitude, damping time, wavelength, and force amplitude were retrieved. Three machine-learning techniques were then used to classify the objects' materials according to their damping rates. …”
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BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. by Natalie R Davidson, Fan Zhang, Casey S Greene

“…We first validated that BuDDI could learn domain invariant latent spaces on data with matched samples across each source of variability. …”
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Bilingual hate speech detection on social media: Amharic and Afaan Oromo by Teshome Mulugeta Ababu, Michael Melese Woldeyohannis, Emuye Bawoke Getaneh

“…In this work, a Bilingual hate speech detection for Amharic and Afaan Oromo languages were conducted using four different deep learning classifiers (CNN, BiLSTM, CNN-BiLSTM, and BiGRU) and three feature extraction (Keras word embedding, word2vec, and FastText) techniques. …”
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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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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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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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Review of privacy computing techniques for multi-party data fusion analysis by LIU Shenglong, HUANG Xiuli, JIANG Yiwen, JIANG Jiawei, TIAN Yuechi, ZHOU Zejun, NIU Ben

“…There were still limitations for anonymity, scrambling, or access control-based traditional privacy desensitization measures, cryptography-based measures, and federated learning-based measures, while privacy computing theory provided a computational and information system framework for full-lifecycle protection, which needed to be combined with different application scenarios to implement full-lifecycle privacy information protection.…”
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