Cybersecurity Measures in Financial Institutions Protecting Sensitive Data from Emerging Threats and Vulnerabilities by Boorugupalli Kiran Kumar, Kulkarni Adokshaja Krishnarao, Suzana Amala, M Diwakaran, Ponnusamy Sivakumar, Kumar S Senthil

“…Whereas other research focuses on broad, high-level strategies, this research offers a step-by-step technical roadmap to zero-trust security, anomaly detection and automated cybersecurity responses. …”
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The Efforts of Teachers of Moral Faith in Overcoming Student Delinquency in Madrasah Aliyah Al Falah Batang Hari by Ikhwan Rosyadi, Sitti Muayada Haris, Eko Dihantoro

“…Second, repressive measures are carried out with the identification stage of tracing the motives of students' delinquency, why this is happening to them, so that teachers can analyze and take the next appropriate steps. After the identification is done correctly, then the next step can be taken, namely curative efforts, as a recovery or healing step by providing measurable punishment to ensure that students who commit delinquency get a deterrent effect. …”
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Improving route development using convergent retrosynthesis planning by Paula Torren-Peraire, Jonas Verhoeven, Dorota Herman, Hugo Ceulemans, Igor V. Tetko, Jörg K. Wegner

“…Scientific contribution We introduce a novel planning approach to develop convergent synthesis routes, which can search multiple products and intermediates simultaneously guided by state-of-the-art machine learning single-step retrosynthesis models, enhancing the overall efficiency and practical applicability of retrosynthetic planning. …”
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A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention by Huifeng Wang, Jianchuan Yin, Jianchuan Yin, Nini Wang, Lijun Wang, Lijun Wang

“…Principal component analysis (PCA) is applied to reduce the dimensionality of the decomposed components. This step helps remove noise and redundant features that could affect the prediction results. …”
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GROUP WORK AT A FOREIGN LANGUAGE LESSON by Olena Y. Beresten, Oleksandr O. Pliushchai

“…Finally, the authors developed a step-by-step work on the text, which includes frontal, group and individual work. …”
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Education in lifestyle medicine for future physicians – a strategy to reduce the burden of cardiovascular disease by Daniel Söderberg, Anna Kiessling, Anna Freyschuss

“…Learning activities and examinations were integrated in all courses with a structured progression and with focus on preventive activities in the workplace learning. …”
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In the New Multimedia Era, “Post-90s” Counselors Do a Good Job of Adaptive Education Path Research for “Post-00s” Freshmen by Ting Wang

“…In the first month of college freshmen entering the school, they are still in the stage of exploration and adaptation, their study and living habits are not fixed, their learning methods have changed from supervised passive learning to conscious and active learning, and their lifestyles are also dominated by self-planning and self-management. …”
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Evaluating the effectiveness of using the intelligent adaptive training system for design modules based on printed circuit boards by K. K. Hoang, Yu. V. Donetskaya

“…A fully functional algorithm for assessing the effectiveness of learning the design modules based on PCB in intelligent adaptive systems is determined by the step of technological operations to ensure the uniformity of the learning quality control. …”
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Effect of bit-size reduced half-precision floating-point format on image pixel characterization for AI applications by J. Jean Jenifer Nesam, S. Sankar Ganesh, Sitharthan Ramachandran

“…Image processing is an essential first step towards fully utilizing robotics, deep learning, and machine learning techniques. …”
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Comparison of ANN and XGBoost surrogate models trained on small numbers of building energy simulations. by Sanja Stevanović, Husain Dashti, Marko Milošević, Salem Al-Yakoob, Dragan Stevanović

“…Surrogate optimisation holds a big promise for building energy optimisation studies due to its goal to replace the use of lengthy building energy simulations within an optimisation step with expendable local surrogate models that can quickly predict simulation results. …”
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Analisis Metode Montessori dalam Meningkatkan Kemampuan Membaca Permulaan Siswa Kelas Rendah SD/MI by Nura Azkia, Nur Rohman

“…Therefore the introduction of the letter 'reading' as a first step to teach children / students in knowing, understanding, and inferring the meaning of reading. …”
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An Improved CEEMDAN-FE-TCN Model for Highway Traffic Flow Prediction by Heyao Gao, Hongfei Jia, Lili Yang

“…A hybrid predicting model based on deep learning is proposed in this paper, including three steps. …”
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Humans rationally balance detailed and temporally abstract world models by Ari E. Kahn, Nathaniel D. Daw

“…We developed a task to measure SR usage during dynamic, trial-by-trial learning. Using this approach, we find that participants exhibit a mix of SR and model-based learning strategies that varies across individuals. …”
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Mobile Robot Obstacle Avoidance Based on Neural Network with a Standardization Technique by Karoline Kamil A. Farag, Hussein Hamdy Shehata, Hesham M. El-Batsh

“…The adaption is related to the learning capacity since the network can consider and respond to new constraints and data related to the external environment.…”
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Smoothing Strategies Combined with ARIMA and Neural Networks to Improve the Forecasting of Traffic Accidents by Lida Barba, Nibaldo Rodríguez, Cecilia Montt

“…In the second stage, an ARIMA model and two ANNs for one-step-ahead time series forecasting are used. The coefficients of the first ANN are estimated through the particle swarm optimization (PSO) learning algorithm, while the coefficients of the second ANN are estimated with the resilient backpropagation (RPROP) learning algorithm. …”
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Deep source separation of overlapping gravitational-wave signals and nonstationary noise artifacts by Niklas Houba

“…Our approach enables signals from massive black hole binaries, Galactic binaries, and instrumental glitches to be disentangled directly in a single step, circumventing the need for sequential source identification and subtraction. …”
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Análisis de las causas de deserción de los estudiantes de la facultad de ingenierías del instituto tecnológico metropolitano (ITM) by Julián Andrés Ramírez Arenas, León Darío Orrego Espejo

“…These findings are fundamental to understanding behavioral patterns and factors influencing student dropout rates. The next step involves implementing a machine learning model, where six key variables are used for its design and training. …”
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The rebirth of home chemistry experiments: An international perspective and the Ukrainian context by Pavlo P. Nechypurenko, Oleksandra D. Kushnirova

“…The experience of Luis Eduardo Doná in developing a home chemistry laboratory kit using affordable and accessible materials is highlighted as an example of how such initiatives can bridge the gap between theoretical learning and practical applications. We conclude that while home chemistry experiments remain a necessity in Ukraine, a review of their role in chemical education worldwide can be a significant step towards improving the quality of chemistry education. …”
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DEVELOPMENT OF A PROBLEM-SOLVING-BASED E-MAGAZINE ASSISTED BY A VIRTUAL LABORATORY ON TEMPERATURE AND HEAT MATERIALS FOR SEVENTH GRADE JUNIOR HIGH SCHOOL STUDENTS by Auliasyura Lestari, Haratua Tiur Maria Silitonga, Muhammad Musa Syarif Hidayatullah

“…The implementation in the learning process showed the acquisition of an effect size value of 1.97 with the category of large effectiveness and the results of the analysis of students' problem-solving skills at each step in the Heller problem-solving strategy showed an average N-gain value of 0.49 with the medium category. …”
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Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification by Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie

“…Constructing a powerful graph that can effectively depict the intrinsic connection of data points is the critical step to make the graph-based semisupervised learning algorithms achieve promising performance. …”
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