Evaluation of the Use of Artificial Intelligence in Teaching Learning Evaluation Courses by Muhamad Raffi Fadliansyah, Rian Dwiyanto, Nur Syamsiyah Nur Syamsiyah

“…By utilizing AI technology, such as chatbots, learning recommendation systems, and data analysis tools, teaching this course is expected to increase the effectiveness, efficiency, and engagement of students in the learning process. …”
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Emotional regulation as a transdiagnostic category through clinical problems: a narrative study by Alvaro Paredes-Rivera, Geraldine F Coria-Palomino, Alexandra Y Marcos-Lescano, Sthefany Sedano-Alejandro

“…This is called emotional regulation (ER), which becomes effective when the context and long-term goals are adapted. …”
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Spatio-temporal evolution characteristics and influencing factors of environmental welfare performance in Chinese cities by Yipeng Zhang, Meixia Wang

“…BackgroundIn the process of China’s urbanization, issues such as air pollution, water pollution, soil pollution, and noise pollution have become increasingly prominent, severely constraining the sustainable development of cities. …”
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Improving Precise Orbit Determination of LEO Satellites Using Enhanced Solar Radiation Pressure Modeling by Youcun Wang, Min Li, Kecai Jiang, Wenwen Li, Qile Zhao, Rongxin Fang, Na Wei, Renhai Mu

“…The magnitude of empirical acceleration estimated in POD is reduced by 19% with the enhanced dynamic modeling, and the estimated scale factor for the SRP converges to stable and reasonable level. Furthermore, the steady‐state temperature model used in thermal reradiation can effectively reduce mismodeled effects in the SRP, and the systematic linear dependency revealed by the SLR residuals is significantly reduced for the GRACE‐C and Jason‐3 satellites, with improvements of approximately 61% and 49%, respectively. …”
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Stress and Coping Strategies among Students: Review by J.A. Marakshina, V.I. Ismatullina, L.M. Marina

“…Thus, a scientifically based approach to effective coping strategies for students, with detailed consideration of perceived stress, mental toughness, the level of emotional problems, and demographic factors, can be considered the most relevant theoretical model.…”
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Immersive learning of the young generation using a mobile learning lab by Eduard N. Ayubov, Svetlana V. Neveleva

“…The development of the modern education system involves the introduction of modern technologies and innovative educational projects into the educational process, including immersive teaching methods. Immersive learning is the most effective and safe way to develop sustainable skills for safe behavior in various emergency and dangerous situations. …”
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Enhancing university remote language learning through innovative applications of artificial intelligence technologies amidst global challenges by N. Sarnovska, J. Rybinska, Yu. Mykhailichenko

“…One area where AI is making significant strides is in distance learning of foreign languages at the university level. The purpose of the article is to examine the many ways in which AI technologies can be used to improve the efficiency and effectiveness of foreign language learning in virtual classrooms based on a personalised approach to learning and to outline an algorithm for utilizing artificial intelligence in foreign language learning, which aims to provide a structured approach for integrating AI tools and technologies into language learning processes. …”
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Mouthwash with Active Oxygen (blue®m) Reduces Postoperative Inflammation and Pain by Bruna Marca Mattei, Soraia A. W. Imanishi, Grasieli de Oliveira Ramos, Paloma Santos de Campos, Suyany Gabriely Weiss, Tatiana Miranda Deliberador

“…The aim of this case series was to evaluate the effects of blue®m mouthwash on oral surgical wounds. …”
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Mass Rapid Transit System Passenger Traffic Forecast Using a Re-Sample Recurrent Neural Network by Rong Hu, Yi-Chang Chiu, Chih-Wei Hsieh, Tang-Hsien Chang, Xingsi Xue, Fumin Zou, Lyuchao Liao

“…A case study of the California Mass Rapid Transit System revealed that the model introduced in this work could timely and effectively predict passenger traffic of MRT. The measurements of passenger traffic themselves were also studied and showed that the new method provided a good understanding of the level of passenger traffic and was able to achieve prediction accuracy upwards of 90% higher than standard tests. …”
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Spatiotemporal control of translation in live zebrafish embryos via photoprotected mRNAs by Florian P. Weissenboeck, Melissa Pieper, Helena Schepers, Sophie Hötte, Nils Klöcker, Sabine Hüwel, Andreas van Impel, Stefan Schulte-Merker, Andrea Rentmeister

“…Abstract Translation of mRNA into protein is a fundamental process and tightly controlled during development. …”
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Risk Factors for Tuberculosis by Padmanesan Narasimhan, James Wood, Chandini Raina MacIntyre, Dilip Mathai

“…The risk of progression from exposure to the tuberculosis bacilli to the development of active disease is a two-stage process governed by both exogenous and endogenous risk factors. …”
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Energy-Based Analysis of Ultrasonically Assisted Turning by G.A. Volkov, V.A. Bratov, A.A. Gruzdkov, V.I. Babitsky, Y.V. Petrov, V.V. Silberschmidt

“…The former technique has several advantages compared with the latter, one of the main being a significant decrease in the level of cutting forces. In this paper the effects observed in UAT are analysed employing ideas of dynamic fracture mechanics. …”
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Water Management in Wheat Farming in Romania: Simulating the Irrigation Requirements with the CROPWAT Model by Dana Maria (Oprea) Constantin, Florentina Iuliana Mincu, Daniel Constantin Diaconu, Cristina Doina Burada, Elena Băltățeanu

“…The development of water demand analysis methodologies to maintain agricultural crops at an optimal production level, in relation to current climate changes, is a necessity for many geographical areas. …”
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Cyclic Peptides as Protein Kinase Modulators and Their Involvement in the Treatment of Diverse Human Diseases by Lorena Martínez-Alcantar, Laura Hernández-Padilla, Alma Laura Díaz-Pérez, Lizbeth Guadalupe Villalón-Magallán, Mayra Xóchitl Durán-Maldonado, César Díaz-Pérez, Marlene E. Campos-Morales, Citlali Figueroa-Guzmán, Jesús Campos-García

“…This review offers new insights for CPs in molecular mechanisms, cytotoxicity, target selectivity, and the possibility of designing more effective and safe therapeutic agents.…”
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A Unique Source for Innovative Longitudinal Research: The POPLINK Database by Annika Westberg, Elisabeth Engberg, Sören Edvinsson

“…It is now possible to study the profound processes of the second demographic transition using individual level data with a proper size population. …”
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Du calcul biophysique à l’évaluation des risques financiers by Sylvain Maechler, Valérie Boisvert

“…The impacts on the latter remain largely invisible to economic processes. This is the narrative behind the proposal to integrate nature into a central instrument of capitalism: accounting. …”
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Evidence classification method of chat text based on DSR and BGRU model by Yu ZHANG, Binglong LI, Xuejuan LI, Heyu ZHANG

“…It is always unlikely to efficiently identify and extract chat text evidence related to criminal events, due to the complex semantics such as “slang” in the chat content and the huge amount of chat text data generated by social software such as instant messaging.Based on this motivation, a chat text evidence classification model (DSR-BGRU) based on the DSR (dynamic semantic representation) model and the BGRU (bidirectional gated recurrent unit) model was proposed.The chat text data was pre-processed to preserve the characteristics of the criminal field.Then a multi-layer chat text feature extraction and classification model using the Keras framework was proposed.With the text matrix composed of vector representation of words in the DSR model as the input vector, the input layer of the DSR model featured the chat text from the semantic level.Then the hidden layer of the BGRU model extracted the context characteristics of the text composed of the word vectors.The softmax classification layer recognized and extracted the chat text evidence.The experimental results show that the proposed DSR-BGRU can more accurately identify and extract chat records compared with other models and methods for text classification, and it can also effectively extract the criminal text information from the chat information with the accuracy rate 92.06% and the F1 score 91.00%.…”
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Implementation of project management in state authorities by O. A. Zyablikova

“…The purpose of the study is to develop practical recommendations aimed at improving the processes of project activities at the state level. …”
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A Unique Source for Innovative Longitudinal Research: The POPLINK Database by Annika Westberg, Elisabeth Engberg, Sören Edvinsson

“…It is now possible to study the profound processes of the second demographic transition using individual level data with a proper size population. …”
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The positive impact of survey, question, read, recite, and review (sq3r) strategy on elementary students' reading comprehension by Sulastri Sulastri, Astri Dwi Jayanti Suhandoko

“…These findings affirm that the SQ3R strategy is not only effective in enhancing comprehensive reading skills but also promotes active student engagement in the learning process. …”
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