A Novel Hybrid Model for Short-Term Wind Speed Forecasting Based on Twice Decomposition, PSR, and IMVO-ELM by Xin Xia, Xiaolu Wang

“…A novel hybrid model based on twice decomposition, phase space reconstruction (PSR), and an improved multiverse optimizer-extreme learning machine (IMVO-ELM) is proposed to enhance the performance of short-term wind speed forecasting in this paper. …”
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Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model by Guillermo Napoleón Pelaez-Diaz, Rosa Vílchez-Vásquez, Antonio Huaman-Osorio, R. Mahaveerakannan, S. Pushpa, Nilesh Shelke, Sumitha Jagadibabu, Jenifer Mahilraj

“…The money plant is also known as the Gloriosa superba. We used a deep learning-based convolution neural network (CNN) classifier model to optimize the CNN algorithm parameter for better prediction. …”
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Approach to the anxiety and coping perceived of mathematics during the pandemic in higher level students in an environment rich in symbols by Enrique López-Ramírez, Nahina Dehesa-De-Gyves, Brenda García-Jarquín, Carlos Francisco Varapizuela-Sánchez, Iván Antonio García-Montalvo

“…If this integration is neglected, it may lead to anxiety during the learning process. In the present study, we conducted semi-structured interviews with students to explore their motivations for studying mathematics and the various strategies they employed to cope during the pandemic. …”
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Design of Sekolah Penggerak principal leadership in implementing best practices by Sutarjo Sutarjo, Sudarwan Danim, Manap Somantri

“…The results of the research show that the initial conditions for the development of Sekolah Penggerak for school principals in implementing good practices in SMA East OKU Regency still require adaptive school planning and management to adapt to current developments and ensure quality learning. The Sekolah Penggerak principal's leadership design in instilling good practices is presented in units such as the Sekolah Penggerak program, school operational management working group, mentoring activities by the principal, and mentoring of the principal. …”
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Multidimensional dataset for cognitive assessment, sMRI, and rsfMRI in common benign epileptic children by Hongzhou Chen, Mengyuan Li, Tian Li, Mai Chen, Chao Jiang, Yudian Tang, Qian Chen, Dazhi Cheng

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Evolutionary Computation and Its Applications in Neural and Fuzzy Systems by Biaobiao Zhang, Yue Wu, Jiabin Lu, K.-L. Du

“…Finally, the application of EAs to the learning of neural networks as well as to the structural and parametric adaptations of fuzzy systems is also detailed.…”
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How digital transformation can influence workflows, teaching practices and curricula in (bio)process science and engineering—An interview series with stakeholders by J. F. Buyel

“…Abstract A massive digital transformation is underway in biotechnology and process engineering fueled by recent advances in machine learning and so‐called artificial intelligence, especially in the large language model field (e.g., ChatGPT). …”
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Funding, inequalities, and access: An amalgam of challenges in South African higher education by Simangele Constance Cele, Samson Adeoluwa Adewumi

“…The recommendations on the challenges are presented by addressing the problem of funding, inequalities, and access to higher education such as expanding access to higher education (e.g. expanding access through online learning platforms), implementing affirmative action policies (e.g. increase students enrolment from the disadvantaged communities), increasing public funding, generating third-stream income funds, provision of scholarships and bursaries, corporate sponsorship, and students’ agency.…”
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Multi-objective design of multi-material truss lattices utilizing graph neural networks by Ramón Frey, Michael R. Tucker, Mohamadreza Afrasiabi, Markus Bambach

“…Beyond geometric flexibility, multi-material AM further expands design possibilities by combining materials with distinct characteristics. While machine learning has recently shown great potential for the fast inverse design of lattice structures, its application has largely been limited to single-material systems. …”
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Spontaneous thought separates into clusters of negative, positive, and flexible thinking by Marta Migó, Jessica A. Cooper, Philip A. Kragel, Michael T. Treadway

“…After the data was embedded into a 3-dimensional semantic space and fit by our dynamic model, unsupervised learning consistently grouped data into four clusters across all independent samples. …”
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Recurrent neural networks with transient trajectory explain working memory encoding mechanisms by Chenghao Liu, Shuncheng Jia, Hongxing Liu, Xuanle Zhao, Chengyu T. Li, Bo Xu, Tielin Zhang

“…Besides activity patterns resembling animal recordings and retained versatility to variable encoding time, TRNNs show better performance in delayed choice and spatial memory reinforcement learning tasks. Therefore, this study provides evidence supporting the transient activity theory to explain the WM mechanism from the model designing point of view.…”
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Co-creation as a Methodology to Integrate Mental Health and Psychosocial Support and Peacebuilding by Yvonne Sliep, Marian Tankink, Friederike Bubenzer

“…The co-creation process fosters transformative learning and acknowledges local wisdom and practices as well as existing theories and skills. …”
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Analisis Suggestopedia Kenyamanan Ruang Perpustakaan dalam Meningkatkan Daya Konsentrasi Pembaca di Perpustakaan Monumen Pers Nasional Surakarta by Dian Muhammad Rifai, Dina Kristiana Seftianingsih, Indy Rafia, Dea Syahnas Paradita

“…The conclusion of this research shows that by applying the principles of suggestopedia, the library can be a place that supports and facilitates effective and enjoyable learning. The suggestion from the findings of this research is that other libraries should also apply the principles of suggestopedia to support the comfort of readers so that the number of library visitors can always continue to grow and provide an image that the library is a place worthy of being used as a place to explore knowledge.…”
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Quantitative EEG and Cognitive Decline in Parkinson’s Disease by Vitalii V. Cozac, Ute Gschwandtner, Florian Hatz, Martin Hardmeier, Stephan Rüegg, Peter Fuhr

“…QEEG analysis shows high test-retest reliability and avoids learning effects associated with some neuropsychological testing; it is noninvasive and relatively easy to repeat.…”
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Arrhythmia Classification Techniques Using Deep Neural Network by Ali Haider Khan, Muzammil Hussain, Muhammad Kamran Malik

“…The automated systems that can be adapted as a tool for screening arrhythmia classification play a vital role not only for the patients but can also assist the doctors. The deep learning-based automated arrhythmia classification techniques are developed with high accuracy results but still not adopted by healthcare professionals as the generalized approach. …”
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Pose Space Surface Manipulation by Yusuke Yoshiyasu, Nobutoshi Yamazaki

“…Example-based mesh deformation techniques produce natural and realistic shapes by learning the space of deformations from examples. However, skeleton-based methods cannot manipulate a global mesh structure naturally, whereas the mesh-based approaches based on a translational control do not allow the user to edit a local mesh structure intuitively. …”
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Load Balancing Selection Method and Simulation in Network Communication Based on AHP-DS Heterogeneous Network Selection Algorithm by Weiwei Xiao

“…This article proposes an Analytic Hierarchy Process Dempster-Shafer (AHP-DS) and similarity-based network selection algorithm for the scenario of dynamic changes in user requirements and network environment; combines machine learning with network selection and proposes a decision tree-based network selection algorithm; combines multiattribute decision-making and genetic algorithm to propose a weighted Gray Relation Analysis (GRA) and genetic algorithm-based network access decision algorithm. …”
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Real-Time Depth-Based Hand Detection and Tracking by Sung-Il Joo, Sun-Hee Weon, Hyung-Il Choi

“…The classifier uses the features of depth-difference at the stage of detection as well as learning. The features of each candidate segment are to be computed by subtracting the averages of depth values of subblocks from the central depth value of the segment. …”
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Investigating Pre-service Chemistry Teachers’ Problem Solving Strategies: Towards Developing a Framework in Teaching Stoichiometry by Allen A. Espinosa, Rebecca C. Nueva España, Arlyne C. Marasigan

“…They should be involved in the process of thinking of ways to solve the stoichiometric problem in such a way that it will help them become independent thinkers and be responsible for their own learning by developing metacognitive and critical thinking strategies. …”
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Improving the CONTES method for normalizing biomedical text entities with concepts from an ontology with (almost) no training data by Arnaud Ferré, Mouhamadou Ba, Robert Bossy

“…An ontology consists minimally of a formally organized vocabulary or hierarchy of terms, which captures knowledge of a domain. Presently, machine-learning methods, often coupled with distributional representations, achieve good performance. …”
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