Do indigenous people get left behind? An innovative methodology for measuring the unmeasurable economic conditions and poverty from the poorest region of Luzon, Philippines by Emmanuel A. Onsay, Jomar F. Rabajante

“…This work puts forth fresh approaches to quantify the incalculable multifaceted poverty and socioeconomic conditions: (i) a thorough statistical analysis using diagnostic and descriptive analytics to examine socioeconomic situations; (ii) combining sophisticated econometrics and predictive analytics to measure multidimensional poverty; and (iii) integrating machine learning to model socioeconomic situations and prescriptive analytics to develop policy. …”
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Web-based platform to collect, share and manage technical data of historical systemic architectures: the Telegraphic Towers along the Madrid-Valencia path by Margherita Lasorella, Pasquale de-Dato, Elena Cantatore

“…The platform takes advantage of digital models, machine and deep learning procedures and relational databases, in a GIS-based environment, for the recognition and categorisation of prevalent physical and qualitative features of systemic architectures, the recognition and qualification of dominant and recurrent decays and the management of recovery activities in a semi-automatic way. …”
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Biophilic Quality Matrix: A tool to evaluate the biophilic quality of a building during early design stage by Niranjika Wijesooriya, Arianna Brambilla, Lina Markauskaite

“…It was developed allowing postgraduate students to use as a self-assessment tool to scaffold learning by facilitating for evaluative judgement. …”
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Information and communication technology-based health interventions for transgender people: A scoping review. by Horas T H Wong, Sujith Kumar Prankumar, Jialiang Cui, Christopher Tumwine, Isaac Yeboah Addo, Wansang Kan, Muhammad Naveed Noor

“…The 47 articles described 39 unique health projects/programs, covering 8 types of ICT-based interventions: videoconferencing, smartphone applications, messaging, e-coaching, self-learning platforms, telephone, social media, and e-consultation platforms. …”
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Evaluation of University’s Place in the Adult Education Ecosystem by G. Z. Efimova, M. Yu. Semenov

“…The article is addressed to administrative and managerial staff of universities, representatives of executive authorities and the real sector of the economy, scientific and pedagogical staff and graduate students seeking to study lifelong learning of adults.…”
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Designing and planning a bioethanol supply chain network under uncertainty using a data-driven robust optimization model under disjunctive uncertainty sets by Farzaneh MansooriMooseloo, Maghsoud Amiri, Mohammad Taghi Taghavi Fard, Mostafa Hajiaghaei-Keshteli

“…Therefore, the aim of this study is to design and optimize the biomass-to-bioethanol supply chain network using data-driven robust optimization methods and disjunctive uncertainty sets.Methodology: The methodology of this study is a multi-methodology approach based on mathematical modeling and machine learning algorithms. Initially, uncertainty sets for the non-deterministic model parameter were created using K-means and SVC methods. …”
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First aid guidelines for fragile contexts (conflict, disaster and remote areas): Contextualization & Adaptation

“…Important, but not yet explicit enough in the new guidelines, is the permission needed to be given to first aid educators to create an authentic, intelligent and humanitarian approach to first aid learning. The goal is to encourage people to be creative and adapt to harsh realities using available resources without being distracted by theories which they cannot apply.…”
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ConciliaMed: an interactive mobile and web tool to reconcile chronic medications of patients undergoing elective surgery by Bernardo Santos-Ramos, Eva Rocío Alfaro-Lara, María Dolores Santos-Rubio, Pablo Ciudad-Gutiérrez, Paloma Suárez-Casillas, Ana Belén Guisado-Gil

“…The final prototype of the tool was disseminated through clinical meetings and the Google Store.Results Four easy-to-use and interactive modules can be used to reconcile chronic medications through the app, while the web platform is designed for consultation and learning. A higher level of satisfaction with the tool was achieved by the test participants (4.67±0.58). …”
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Peningkatan Prestasi Belajar Ipa Materi Sistem Pernapasan Melalui Metode Think-Pair-Share Siswa Kelas VIII SMPN 1 Dagangan by Lina Munawati

“…Berdasarkan hal tersebut rumusan masalah dalam penelitian ini sebagai berikut: Apakah penggunaan model Cooperative Learning dengan pendekatan struktural â€Think-Pair-Share†dapat meningkatkan ketuntasan belajar mata pelajaran IPA pada Materi Sistem Pernapasan Melalui Penerapan Metode â€Think-Pair-Share†Siswa Kelas VIII-A SMP Negeri 1 Dagangan Kabupaten Madiun Semester Genap Tahun Pelajaran 2021/2022. Pendekatan yang digunakan dalam penelitian ini adalah pendekatan kualitatif, dengan jenis penelitian tindakan kelas. …”
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EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism by Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, Ali Alkoradees, Gagandeep Singh

“…With the use of innovative deep learning techniques, this research seeks to improve the diagnosis of ADHD using EEG data. …”
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Bridging imagination and strategy in SMEs: The role of ideas and strategy in SME performance by Adin Gustina, Jane S. Liu, Setyabudi Indartono, Nindya N. Laili

“…Contribution: By cultivating a culture that values creativity, collaboration, and continuous learning, SMEs can create an environment that fosters innovation and long-term success, driving organisational performance and growth.…”
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Implicit link prediction based on extended social graph by Ling Xing, Jinxin Liu, Qi Zhang, Honghai Wu, Huahong Ma, Xiaohui Zhang

“…The algorithm completes user attribute information through a multi-task fusion attribute inference framework built on associative learning. Subsequently, an extended social graph is constructed based on user attribute relations, social relations, and discourse interaction relations, enriching user nodes with comprehensive representational information. …”
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ST-Elevation Myocardial Infarction: A Simulation Case for Evaluation of Interprofessional Performance in a Hospital by Hadiki Habib, Eka Ginanjar, Arif Mansjoer, Septo Sulistio, Imamul A. Albar, Radi M. Mulyana

“…The simulation was well received by both participant and our institution, stating that it is a valuable resource for developing interdisciplinary learning program. This simulation also contributed to the development of the clinical pathway, STEMI protocol, in our institution.…”
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Long-term reconstructed vegetation index dataset in China from fused MODIS and Landsat data by Xiangqian Li, Qiongyan Peng, Ruoque Shen, Wenfang Xu, Zhangcai Qin, Shangrong Lin, Si Ha, Dongdong Kong, Wenping Yuan

“…This study revised a machine learning spatiotemporal fusion model (InENVI) to produce a high-resolution NDVI dataset with 8-day temporal and 30 m spatial resolution, covering China from 2001 to 2020. …”
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Educational Policy of Kazakhstan in the Context of Youth Migration by V. Yu. Ledeneva, O. V. Lomakina, A. M. Dzhunusov, B. T. Begasilov

“…The sample consisted of 183 people.As a result of the study, the main reasons for the dynamic growth of educational migration from Kazakhstan were identified, such as the high quality of education abroad, the availability of education in Russian universities, comfortable learning and living conditions for Kazakhstanis, etc. …”
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Short-Term Power Load Prediction Method Based on VMD and EDE-BiLSTM by Yibo Lai, Qifeng Wang, Gang Chen, Yu Bai, Peiyu Zhao, Xiaojing Liao, Shuang Wu, Changyou Men, Quan Sun

“…Subsequently, the modal components undergo training and learning through the EDE-BiLSTM model, aiming to minimize the test set’s root mean square error (RMSE). …”
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Advancements in Liposomal Nanomedicines: Innovative Formulations, Therapeutic Applications, and Future Directions in Precision Medicine by Izadiyan Z, Misran M, Kalantari K, Webster TJ, Kia P, Basrowi NA, Rasouli E, Shameli K

“…The integration of artificial intelligence and machine learning in optimizing liposomal designs promises to revolutionize personalized medicine, paving the way for innovative strategies in disease detection and therapeutic interventions. …”
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Multi-source meteorological data assessment on daily runoff simulation in the upper reaches of the Hei River, Northwest China by Huazhu Xue, Yaheng Wang, Guotao Dong, Chenchen Zhang, Yaokang Lian, Hui Wu

“…Study region: The upper reaches of the Hei River Basin, northwest China Study focus: To improve the accuracy and physical consistency of runoff simulations, as well as to compare the applicability of meteorological data obtained from multiple sources, this study integrates physical mechanisms with deep learning methods to construct a coupled model, HIMS-LSTM. …”
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Magazine “Business Spotlight” as the authentic resource for developing English reading skills for higher education students by A. Palamarchuk, D. Pylypyshyna

“…The  article  effectively  enhanced reading, listening, and speaking skills through tailored activities, fostering student motivation and enjoyment in the learning process. Consequently, the Business Spotlight magazine presents a diverse range of authentic articles reporting news from English-speaking countries. …”
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An Enhanced Approach Using AGS Network for Skin Cancer Classification by Hwanyoung Lee, Seeun Cho, Jiyoon Song, Hoyoung Kim, Youjin Shin

“…It was evaluated using eight deep learning classifiers—GoogLeNet, DenseNet201, ResNet50, MobileNet V3, EfficientNet B0, ViT, EfficientNet V2, and Swin Transformers—on the HAM10000 dataset. …”
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