Computer-economical optimization method for solving inverse problems of determining electrophysical properties of objects in eddy current structroscopy by V. Ya. Halchenko, R. V. Trembovetska, V. V. Tychkov

“…This makes it possible to implicitly identify complex patterns hidden in the data that are characteristic of the eddy current measuring process and take them into account during reconstruction. …”
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State-of-the-Art Review of the Simulation of Dynamic Recrystallization by Xin Liu, Jiachen Zhu, Yuying He, Hongbin Jia, Binzhou Li, Gang Fang

“…Mean field models are used to implicitly describe the DRX process and are embedded into a finite element (FE) program for forming. …”
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Enhancing Planning for Autonomous Driving via an Iterative Optimization Framework Incorporating Safety-Critical Trajectory Generation by Zhen Liu, Hang Gao, Yeting Lin, Xun Gong

“…Furthermore, two parallel CVAEs (Dual-CVAE) are trained collaboratively by a shared objective function to implicitly model the multi-vehicle interactions. Inspired by the concept of “learning to collide”, adversarial optimization is integrated into the Dual-CVAE (Adv. …”
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L'attivo bisogno di apprendere by Roberto Travaglini

“…The motivation to learn has solid neurological foundations, supported by the most recent pedagogical-cognitivist and neo-cognitivist expressions in an anti-behaviorist function: Damasio argues that the idea of an “implicit consciousness”, present in vital processes and the primary basis of emotions and the highest cognitive abilities, is well-founded, and several authors align themselves on its theoretical perspective, including Piaget and Gardner, who have been able to integrate cognitive and biological sciences with educational theories, promoting an education capable of enhancing the interaction between innate predispositions and the socio-educational environment and, in line with Dewey’s activist orientation, promoting the idea – like Claparède’s law of need –, according to which the child’s mind is active and self-motivation is the real engine of any possible functional learning. …”
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中學生成長型思維與學習投入之關係： 以後設認知與羞愧感為中介變項 A Study on the Impact of Growth Mindset on Learning Engagement Among Junior and Senior High School Students: Exploring the Mediating Roles of Metac... by 王佳琪 Chia-Chi Wang, 孫國瑋 Guo-Wei Sun

“…Discussion and Suggestion The results of this study indicate that metacognitive strategies significantly mediate the relationship between growth mindset and learning engagement among secondary school students. Teachers can integrate these strategies into their lessons by helping students understand their learning processes, set goals, and engage in self-monitoring, thereby enhancing learning outcomes. …”
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Promoting mental health for optimal performance in sports by Alexander Schorb, Ulf Häfelinger, Marek Pesicka, Simon Kohl, Felix Karus, Andreas Kaiser, Günter Schiepek, Wolfgang Aichhorn

“…Results: The promotion of mental health is not yet an integral part of the care structures in competitive sports. …”
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Triple dimensional psychology knowledge encouraging graph attention networks to exploit aspect-based sentiment analysis by Xuefeng Shi, Weiping Ding, Min Hu, Xin Kang, Fuji Ren

“…Abstract As a fine-grained sentiment analysis subtask in the natural language processing (NLP) community, aspect-based sentiment analysis (ABSA) aims to predict the sentiment polarity of the aspect terms according to the given sentence. …”
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Multidisciplinary Nature of the Psycholinguistic Discourse Neuroeconomics by Тамара Ткач, Анатолій Ткач, Іван Рекун

“…It is concluded that new areas of neuroeconomics such as behavioral economics, behavioral finance, emotional economics, psychological economics, have become areas of economic theory that, explicitly or implicitly, take into account the psychological characteristics of human perception and behavior in the process of economic activity. …”
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From ‘publish or perish’ to ‘publish with purpose’: perspectives from young adults with lived and living experience on transforming academic publishing in patient-oriented research... by Sandy Rao, Rae Jardine, Abitha Suthakaran, Laetitia Satam, Antoaneta A. Todorova, Ysabelle Tumaneng, Julien Quickstad

“…The core of the narrative addresses the complex challenges faced by YALLE, including discrimination, underrecognition, and inadequate participatory roles in research processes. These issues are magnified by the prevalent “publish or perish” culture in academia, which prioritizes the quantity of scholarly output over the quality and inclusivity of research contributions. …”
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Beyond motor learning: Insights from infant magnetic resonance imaging on the critical role of the cerebellum in behavioral development by Lauren Wagner, Melis E Cakar, Megan Banchik, Emily Chiem, Siobhan Sive Glynn, Amy H Than, Shulamite A Green, Mirella Dapretto

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Interface-aware molecular generative framework for protein–protein interaction modulators by Jianmin Wang, Jiashun Mao, Chunyan Li, Hongxin Xiang, Xun Wang, Shuang Wang, Zixu Wang, Yangyang Chen, Yuquan Li, Kyoung Tai No, Tao Song, Xiangxiang Zeng

“…Our evaluation demonstrates that GENiPPI captures the implicit relationships between the PPI interfaces and the active molecules, and can generate novel compounds that target these interfaces. …”
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Separating Subjective from Objective Food Value in the Human Insula: An Exploratory Study Using Intracranial EEG by Benjamin Hébert-Seropian, Olivier Boucher, Daphné Citherlet, Manon Robert, François Richer, Dang Khoa Nguyen

“…This work supports a dual-route model of food cue processing, and may inform interventions targeting insular activity in disordered eating.…”
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RSEFormer: A Residual Squeeze-Excitation-Based Transformer for Pixelwise Hyperspectral Image Classification by Yusen Liu, Hao Zhang, Fashuai Li, Fei Han, Yicheng Wang, Hao Pan, Boyu Liu, Guoliang Tang, Genghua Huang, Tingting He, Yuwei Chen

“…Hyperspectral image (HSI) classification plays an essential role in remote sensing image processing. Deep learning methods, especially the transformer, has achieved great success in HSI classification. …”
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AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features by Ruochen Zhang, Hyeung-Sik Choi, Dongwook Jung, Phan Huy Nam Anh, Sang-Ki Jeong, Zihao Zhu

“…AuxDepthNet introduces two key components: the Auxiliary Depth Feature (ADF) module, which implicitly learns depth-sensitive features to improve spatial reasoning and computational efficiency, and the Depth Position Mapping (DPM) module, which embeds depth positional information directly into the detection process to enable accurate object localization and 3D bounding box regression. …”
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Development of neutron diffusion and transport algorithms based on finite volume method by LI Wei, LIU Xiaojing, CHAI Xiang, ZHAO Pengcheng

“…Then, the discrete ordinates method was applied to the discretization of the neutron transport equation for spatial angular discretization, and FVM was used to discretize both neutron diffusion and neutron transport equations spatial variables whilst the multigroup method was employed for discretizing energy variables, and implicit Euler method was utilized for discretizing time variables. …”
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TRANSNATIONAL ASPECTS OF THE POETICS OF MARJANA GAPONENKO’S NOVEL “WHO IS MARTHA?” by Oleksii I. Ankhym., Natalia I. Astrakhan

“…Transnational movements and processes of hybridization level national, ethnic, and cultural boundaries, and migration itself becomes an integral part of existence and often an impetus for literary creativity. …”
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Protection and Promotion of Agricultural and Food Products at European Union level through European Quality Schemes by Laura Cătălina ŢIMIRAŞ

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EVOLUTION OF THE AGRICULTURAL LABOUR MARKET IN THE EUROPEAN UNION BETWEEN 2011-2020 by Cristina Vasilica ICOCIU, Ana-Maria IFRIM, Cătălin Ionuț SILVESTRU, Marius-Mihai MICU

“…Over time, the agricultural sector has played a particularly important role in accelerating the expansion and economic development of the least developed countries and their integration into world trade. The basic hypothesis is that, over time, agriculture has been the premise for the economic development of the world's states, the agricultural transition being quite well correlated with general growth processes. …”
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Using Deep Learning in Ensemble Streamflow Forecasting: Exploring the Predictive Value of Explicit Snowpack Information by Parthkumar Modi, Keith Jennings, Joseph Kasprzyk, Eric Small, Cameron Wobus, Ben Livneh

“…Motivated by the strong performance of deep learning models, we seek to assess whether the Long Short‐Term Memory (LSTM) model can provide skillful forecasts and replace process‐based models within the ESP framework. Given challenges in implicitly capturing snowpack dynamics within LSTMs for streamflow prediction, we also evaluated the added skill of explicitly incorporating snowpack information to improve hydrologic memory representation. …”
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Law and Individualism: Balancing Rights, Responsibilities, and Group Dynamics by Mirko Pečarič

“…Flexible legal models can integrate group accountability without eroding personal rights. …”
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