Using Interest Approaches in Instructional Design and Delivery by Brianna N. Shanholtzer, Andrew Thoron, J. C. Bunch, Blake C. Colclasure

“… Most educators know that it can be challenging to get students motivated to learn at the start of a lesson. The importance of student motivation, academic desire, and engagement is well noted as these factors have been directly linked to students’ academic achievement. …”
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The Kitchen and the Dacha: Productive Spaces of Soviet Mathematics by Slava Gerovitch

“…To overcome such barriers, the mathematical community built extensive social networks around informal or semi-formal study groups and seminars, which formed a parallel social infrastructure for learning and research. As   result, mathematical activity began shifting from public educational and research institutions into private or semi-private settings — family apartments, summer dachas, and countryside walks. …”
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Network traffic monitoring based on CNN-SVM by Wu Qian

“…By doing this, this paper may more successfully combine the benefits of SVM for classification with CNN’s advantages for feature learning, enhancing traffic monitoring’s precision and resilience. …”
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A Kernel-Based Approach for Biomedical Named Entity Recognition by Rakesh Patra, Sujan Kumar Saha

“…Support vector machine (SVM) is one of the popular machine learning techniques used in various text processing tasks including named entity recognition (NER). …”
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Systematic Review of Remote Sensing Prediction Models and Tools for Estimating Surface Soil Moisture Content of an Area by P. Yamakili, M. R. Nicholaus, K. A. Greyson

“…As a result, this systematic review paper presents a wide range of comparative assessments of RS SM estimation models and tools by assessing their technique and methods, their performance Evaluation level (Coefficient of Determination R), the environment where the model could suitably perform better and the essential parameters considered for improving the known Machine Learning models for SM prediction further attention as discussed under this paper. …”
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The roles of teachers’ beliefs and instructional practices in students’ mathematical mindset by Araya Piyakun, Songsak Phusee-Orn

“…IntroductionMathematics education development is an urgent topic, with an emphasis on increasing students’ motivation to learn mathematics.MethodsThis study aimed to investigate the impacts of teachers’ mathematical mindset, task values, and instructional practices on students’ mathematical mindset, using students’ perceived instructional practices as a mediator. …”
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Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy by Xuefeng Cheng, Min Liao, Juan Liu

“…These results demonstrate the potential of combining spectral data processing with advanced machine learning techniques for efficient and accurate geographical origin identification, providing a robust tool for quality assurance and traceability in traditional Chinese medicine.…”
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Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network by Lixun Han, Cunqian Feng

“…Moreover, we present a deep-learning (DL) model composed of a one-dimensional parallel structure and long short-term memory (LSTM). …”
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The backtrack Hölder gradient method with application to min-max and min-min problems by Bolte, Jérôme, Glaudin, Lilian, Pauwels, Edouard, Serrurier, Mathieu

“…We use rigidity assumptions, ubiquitous in learning, making our method – the backtrack Hölder algorithm applicable to many optimization problems. …”
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The pedagogical model for developing research/investigation competence in primary school students (Natural Sciences) by Marieta NEAGU

“…This model is based on instructional theories, learning theories, educational paradigms focused on competence, socio-constructivist and cognitive approaches, as well as didactic principles. …”
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Elementary Teachers’ Experiences of Implementing Culturally Responsive and Inclusive Education in New York State by Grace Pai

“…These findings support the development of school- or districtwide professional learning opportunities to build understanding of the state’s framework and ways to collaboratively translate CRSE values into inclusive teaching.…”
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The Optimal PPP Model of Emergency Rescue Service by Guangxi Cao, Ling Zhou

“…Based on the analysis of the shortage of emergency rescue services and the supervision of public-private-partnership (PPP) projects, this paper explores the rent-seeking game predicament and establishes a three-player rent-seeking game model among government regulators, private enterprises, and government agents in the bidding operation of PPP projects by learning from Stackelberg game theory. Through the numerical simulation analysis, this paper explores the impact of the relevant variables on the model results, which can lead to the following conclusions: the emphasis on government regulators changes due to rent-seeking cost changes; when the success rate of verification is high, government regulators can take supervision randomly. …”
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An Efficient and Accurate 2W-PE Method for Solving Spatial Field Strength Based on CVNN and PINN by An-Qi Li, Cheng-You Yin, Qian-Qian Zhang, Han Liu

“…The proposed 2W-PE method has high computational accuracy and efficiency, which reflects the applicability of machine learning in solving the computational efficiency problem of radio wave propagation. …”
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Robot-assisted surgery for gynecological cancer by Hao Liang, Hang Yu, Jiangtao Fan

“…Based on the author's experience with thousands of robotic-assisted surgeries and the latest research progress, this article compares the learning curve and postoperative complications of robotic-assisted laparoscopic surgery versus traditional laparoscopic surgery. …”
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Weakly Supervised Real-Time Object Detection Based on Salient Map Extraction and the Improved YOLOv5 Model by Yue Ma, Zhuangzhi Zhi

“…In order to improve the accuracy and processing speed of object detection in weakly supervised learning environment, a weakly supervised real-time object detection method based on saliency map extraction and improved YOLOv5 is proposed. …”
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Experiments on Detection of Voiced Hesitations in Russian Spontaneous Speech by Vasilisa Verkhodanova, Vladimir Shapranov

“…In this paper we address an issue of voiced hesitations (filled pauses and sound lengthenings) detection in Russian spontaneous speech by utilizing different machine learning techniques, from grid search and gradient descent in rule-based approaches to such data-driven ones as ELM and SVM based on the automatically extracted acoustic features. …”
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Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms by Purushottam Singh, Prashant Pranav, Sandip Dutta

“…This study underscores the potential of leveraging machine learning and evolutionary algorithms to advance cryptographic protocol security and efficiency, laying a robust foundation for future advancements in cybersecurity.…”
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Opening tasks, opening minds – a rediscovery of the open-ended approach by Kalina Jastrzębowska

“…Primary school students in Poland are usually offered algorithmic and rote teaching methods and are thus very often deprived of important elements of successful mathematics learning. The ubiquitous teacher-centred approach dedicates little time to any contribution from learners. …”
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The irreconcilability of insight by Eli Shupe

“…., causal cognition, or mental trial and error); and, second, that the relevant performances merely reflect associative learning—and on the received understanding of insight within comparative cognition, insight necessarily involves non-associative processes. …”
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Dilated SE-DenseNet for brain tumor MRI classification by Yuannong Mao, Jiwook Kim, Lena Podina, Mohammad Kohandel

“…The study highlights the significant role of machine learning in improving diagnostic accuracy in medical imaging, with potential applications extending beyond brain tumor detection to other medical imaging tasks.…”
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