Inversion of Magnetic Anomaly Based on Cross Attention Transformer by Juntao Lei, Jieru Chi, Shandong Li

“…This module is devised to integrate the multi-scale features from each stage of the encoder, facilitating the decoder to achieve high-precision inversion. 3) We propose a forward constraint loss function. During network training, this loss function ensures that the inversion results adhere to geophysical principles. …”
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AL-MAFHUM AL-ASASIY LI TATHWIR AL-MAWADD AT-TA’LIMIYYAH by Esti Indi Astuti

“…This article conducts the basic concept of learning material development which consists of definition, characteristics, kinds and function of learning material, how to develop it and apply it well.…”
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Juvenile idiopathic arthritis outcome and prognosis according to catamnesis evaluation by O V Semenova, S O Salugina

“…Substantial part of them worked or learned. 10 pts did not worked because of the disease (1,5%). 61% of pts did not have functional limitations (HAQ=0). 32% of pts were disabled. …”
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UNESCO's Vision to Promote The dimensions of Global Citizenship in Education "Analytical Study in Light of The 2030 Agenda for Sustainable Development" by Abdelfatah Zahra

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Hybrid Feed Forward Neural Networks and Particle Swarm Optimization for Intelligent Self-Organization in the Industrial Communication Networks by M. Maragatharajan, Aanjankumar Sureshkumar, Rajesh Kumar Dhanaraj, E. Nirmala, Md Shohel Sayeed, Mohammad Tabrez Quasim, Shakila Basheer

“…The experimental results demonstrate that the proposed method achieves a significantly higher accuracy of 98.25% by outperforming the existing models such as Random Forest (80%), Reinforcement learning (90%), Max Overlapping (88%), and Ant Colony Optimization (92%), Further, the proposed method enhances the energy efficiency, complex network function approximation, and collaborative optimization which make it an ideal choice for scalable and self-organization model in the 6G and ICNets. …”
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Why Empirical Forgetting Curves Deviate from Actual Forgetting Rates: A Distribution Model of Forgetting by Nate Kornell, Robert A. Bjork

“…For over a century, forgetting research has shown that recall decreases along a power or exponential function over time. It is tempting to assume that empirical forgetting curves are equivalent to the rate at which individual memories are forgotten. …”
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Effects of Long-Term Treatment with Atorvastatin and Rosuaastatin on Active Avoidance Test in Intact Rats by Maria Georgieva-Kotetarova, Ivanka Kostadinova, Delian Delev

“…Most studies suggest that statins can protect the brain against damage but it is not clear whether they improve cognitive function in patients without neuropathy. The aim of the present study was to investigate the effect of 3-month treatment with atorvastatin and rosuvastatin on learning and memory processes in rats without brain damage. …”
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Classification of Real-World Objects Using Supervised ML-Assisted Polarimetry: Cost/Benefit Analysis by Rui M. S. Pereira, Filipe Oliveira, Nazar Romanyshyn, Irene Estevez, Joel Borges, Stephane Clain, Mikhail I. Vasilevskiy

“…Different sets of attributes are studied using an artificial neural network (ANN), which is optimized in terms of the number of hidden layers and the activation function. After that, an improved machine learning (ML) architecture is built using the K-nearest neighbors (KNN) classifier on each cluster generated by applying the pre-trained ANN to the training set. …”
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MODERN DIRECTION FOR IMPROVING THE QUALITY OF TRAINING STUDENTS OF DENTAL FACULTY by M.V. Storozheva, S.N. Grigorov, L.P. Rekova

“…In order to stimulate interest in learning, it is also possible to use the method of cognitive games based on the establishment of the learning process of game situations. …”
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The Functional Impact of VX-770 on the Cystic Fibrosis Transmembrane Conductance Regulator Is Enduring and Increases the Constitutive Activity of This Channel in Primary Airway Epi... by Heidi J. Nick, Sarah E. Christeson, Preston E. Bratcher

“…While studies have reported on the mechanism of action of VX-770, there is still more to learn about the impact that it has on CFTR function in various contexts. …”
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Radiomics, Pathomics and Connectomics by Debora GIL RESINA GIL RESINA

“… The increasing demand for personalized medicine needs development of advanced AI techniques capable of accurately characterizing pathological heterogeneity, which is a key determinant of disease progression, treatment response, and prognosis. Current machine learning (ML) and deep learning (DL) models struggle with explainability, robustness, and trustworthiness, limiting their adoption in clinical practice. …”
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Pedagogical design of a digital teaching assistant in massive professional training for the digital economy by E. G. Andrianova, L. A. Demidova, P. N. Sovetov

“…The experience of introducing a DTA into the learning process of teaching programming in Python confirmed the possibility of personifying the learning process in the form of individual learning paths.…”
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Classification of traffic accidents’ factors using TrafficRiskClassifier by Wei Sun, Lili Nurliyana Abdullah, Fatimah binti Khalid, Puteri Suhaiza binti Sulaiman

“…The TrafficRiskClassifier model proposed in this study adopts an innovative approach integrating migration learning, image classification, and self-supervised learning, with the goal of significantly enhancing the accuracy and efficiency of traffic accident risk analysis. …”
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Peran Orang Tua dalam Mendampingi Anak Belajar Selama Pandemi by Eko Hari Purnomo, Tutuk Ningsih

“…Situations and conditions like this require the maximum involvement of parents and restore the role of parents in educating children essentially. The role and function of parents initially is as a place for children's education to be first and foremost in instilling religious values, shaping character and character, but during a pandemic like this where children have to study at home, the role of parents increases by accompanying children when learning is something very important. …”
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ЕDUCATIONAL ENVIRONMENT AND THE TREATMENT OF THE CHILD AS A CONSTRUCTOR OF OWN DEVELOPMENT by T. Koteva-Mojsovska

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An analytics-driven model for identifying autism spectrum disorder using eye tracking by Deblina Mazumder Setu

“…These properties are utilized in machine learning and deep learning model training with hyperparameter adjusting for optimization. …”
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Extensive comparison of protein sequence-based bioinformatics applications for predicting lysine succinylation sites: a comparative review by Hussam Alsharif

“…Among the multiple studies that have employed machine-learning and deep-learning applications, few have systematically examined computational issues. …”
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PIONet: A Positional Encoding Integrated Onehot Feature-Based RNA-Binding Protein Classification Using Deep Neural Network by Mahmood A. Rashid, Mayank Chaturvedi, Kuldip K. Paliwal

“…Accurate classification of RBPs is crucial for understanding their functional roles in cellular mechanisms. Here we present PIONet, a deep learning method based on a convolutional neural network (CNN) that accurately classifies RBPs. …”
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HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

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Crop Yield Prediction: Data Structure and Ai-Powered Methods by V. K. Kalichkin, K. Yu. Maksimovich, O. A. Aleshchenko, V. V. Aleshchenko

“…The most commonly used machine learning and deep learning methods are identified and their functional characteristics are examined in detail. …”
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