Nurturing humanism and professionalism in a clinical setting: A multicenter study to develop a framework for a learning module for clinical students. by Rita Mustika, Anyta Pinasthika, Nadia Greviana, Eti Poncorini Pamungkasari, Annang Giri Moelyo, Rahma Tsania Zhuhra

“…Meaningful integrated learning experiences, patient exposure, and reflection serve as the cornerstones of teaching-learning strategies while considering longitudinally explicit assessments.…”
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I Just Wish They'd Ask the Right Questions About Sex: Working to Improve Sexual Health Communication With Older Adults by Megan T. Ebor, Madeline Y. Sutton

“…Such interventions can help foster inclusive, routine clinical practices that support sexual wellness throughout the aging process.…”
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Redefining education: educational trajectories for complex thinking skills by María Soledad Ramírez-Montoya, May Portuguez-Castro, Román Mendoza-Urdiales

“…The findings report on (a) Educational institutions that implement strategies for complex thinking unintentionally, without its explicit integration into their models; (b) Students demonstrating interdisciplinary, innovative, and critical problem analysis skills related to complex thinking; (c) Teachers employing active learning strategies using complex thinking sub-competencies for problem analysis and understanding; and (d) Trajectories for educational models to bring students closer to real-world problems, analyzing with diverse perspectives and integrating critical, scientific, systematic, and innovative thinking. …”
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How equitable is the conduct of public health research? Findings across case studies from India and Australia by Devaki Nambiar, Hari Sankar D, Misimi Kakoti

“…Results Across stages of a research project, efforts were made to integrate equity considerations in all five of our case studies, whether explicitly equity focused (N = 2) or not (N = 3). …”
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Parallel Direct Solution of Flexible Multibody Systems Based on Block Gaussian Elimination by Cheng Yang, Bin Xia, Yuexin Wan, Pin Yang, Yifan Xie, Zhifeng Xie

“…To address the time integration problem, an implicit stiff scheme is adopted to obtain large time step sizes. …”
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Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass by Rodolfo Ceriani, Sebastian Brocco, Monica Pepe, Silvio Oggioni, Giorgio Vacchiano, Renzo Motta, Roberta Berretti, Davide Ascoli, Matteo Garbarino, Donato Morresi, Francesco Bassi, Francesco Fava

“…We then applied the top-performing models to generate spatially explicit SV and AGB maps. Results demonstrated that EMIT-GEDI integration enhanced SV estimation accuracy (R2 = 0.75 RMSE = 75.48 m3 ha−1, GPR model) compared to S2-GEDI (R2 = 0.69 RMSE = 84.48 m3 ha−1, ANN model). …”
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Spaces of Radical Possibility: Designing for and from Intersectionality by Armaghan Ziaee

“…The study advocates for participatory architectural approaches that prioritize the voices and experiences of campus community members, promoting radical inclusivity in the design process. This research contributes to the ongoing discourse on integrating feminist and intersectional approaches into architectural education and practice, emphasizing the importance of creating more just and inclusive spaces.…”
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تجليات الذات المتكلمة في مناظرات القرآن الكريم by Ouahiba Khabil

“…In our study, we have exploited the "integrated deliberative" theses that focus on the speaker and the characteristic of "plurality" inherent in interactive discourse in an apparent or implicit manner, so that it is divided into self-production and receptivity on the one hand, and argumentation and controversy on the other hand.…”
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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

“…<b>Conclusions</b>: These findings offer novel electrophysiological insights into how the insula differentiates between implicit and explicit food-related signals, depending on the homeostatic state. …”
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Boltzmann energy-based image analysis demonstrates that extracellular domain size differences explain protein segregation at immune synapses. by Nigel J Burroughs, Karsten Köhler, Vladimir Miloserdov, Michael L Dustin, P Anton van der Merwe, Daniel M Davis

“…We conclude that energy processes implicit in protein size based segregation can drive the patternation observed in individual synapses, at least for the specific examples tested, such that no additional processes need to be invoked. …”
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Clinical concept annotation with contextual word embedding in active transfer learning environment by Asim Abbas, Mark Lee, Niloofer Shanavas, Venelin Kovatchev

“…Methods Initially labeled data are acquired from a lexical-based approach in sufficient amounts to perform an active learning process. A contextual word embedding similarity approach is adopted using BERT base variant models such as ClinicalBERT, DistilBERT, and SCIBERT to automatically classify the unlabeled clinical concept into explicit categories. …”
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Modelación numérica del concreto simple con elementos finitos mediante la teoría de la plasticidad y la función de fluencia de Hu y Schnobrich Numerical modeling of the simple conc... by Luis Rodríguez, Dorian Linero

“…This model is based on the general formulation of the theory of plasticity (Simó & Hughes 1998), considering a non-associated flow rule, where the plastic potential is defined by the failure criterion and von Mises and yield function corresponds to empirical approaches developed by Hu and Schnobrich (1989). An implicit algorithm of numerical integration was formulated to solve the nonlinear problem given by the material constitutive model. …”
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The wavefunction of a quantum S 1 × S 2 universe by Gustavo J. Turiaci, Chih-Hung Wu

“…In the process, we clarify some aspects of the gravitational path integral on complex spacetimes. …”
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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

“…Monocular 3D object detection is a challenging task in autonomous systems due to the lack of explicit depth information in single-view images. Existing methods often depend on external depth estimators or expensive sensors, which increase computational complexity and complicate integration into existing systems. …”
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THE SOLUTION OF THE APPROXIMATION PROBLEM OF NONLINEAR DEPENDANCES USING ARTIFICIAL NEURAL NETWORKS by V. N. Ageyev

“…Because the test curve is given in explicit form, the parameter of activation function is determined from the condition of reaching the minimum of the integral from the squared difference between the values of the test functions and the output of the network. …”
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Survey on explainable knowledge graph reasoning methods by Yi XIA, Mingjng LAN, Xiaohui CHEN, Junyong LUO, Gang ZHOU, Peng HE

“…In recent years, deep learning models have achieved remarkable progress in the prediction and classification tasks of artificial intelligence systems.However, most of the current deep learning models are black box, which means it is not conducive to human cognitive reasoning process.Meanwhile, with the continuous breakthroughs of artificial intelligence in the researches and applications, high-performance complex algorithms, models and systems generally lack the transparency and interpretability of decision making.This makes it difficult to apply the technologies in a wide range of fields requiring strict interpretability, such as national defense, medical care and cyber security.Therefore, the interpretability of artificial intelligence should be integrated into these algorithms and systems in the process of knowledge reasoning.By means of carrying out explicit explainable intelligence reasoning based on discrete symbolic representation and combining technologies in different fields, a behavior explanation mechanism can be formed which is an important way for artificial intelligence to realize data perception to intelligence perception.A comprehensive review of explainable knowledge graph reasoning was given.The concepts of explainable artificial intelligence and knowledge reasoning were introduced briefly.The latest research progress of explainable knowledge graph reasoning methods based on the three paradigms of artificial intelligence was introduced.Specifically, the ideas and improvement process of the algorithms in different scenarios of explainable knowledge graph reasoning were explained in detail.Moreover, the future research direction and the prospect of explainable knowledge graph reasoning were discussed.…”
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Intersectionality and the United Nations World Conference Against Racism by Abigail Bakan, Yasmeen Abu-Laban

“…That this is not widely understood or highlighted has to do with challenges to the WCAR, particularly the withdrawal of key states from the process and a negative discourse concerning discussions and scholarly analysis of the WCAR process. …”
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Un programme technologique basé sur l’analyse de l’activité réelle des enseignants débutants au travail et en vidéoformation by Simon Flandin, Luc Ria

“…The first section describes the initial design process of the device, from ideational foundations (empirically and historically situated theoretical and ethical assumptions about teacher training) to a functional device of reference (explicit operational project, embodied by an online video platform). …”
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Law and Individualism: Balancing Rights, Responsibilities, and Group Dynamics by Mirko Pečarič

“…Although certain branches—such as corporate and environmental law—implicitly recognise collective responsibility, explicit mechanisms to balance individual and group interests are still required. …”
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Invariants and Lacunae in Translation of Russian Interjectional Phrases: A Study of English Translations of M. A. Bulgakov's “The Master and Margarita” by A. S. Izvolenskaya

“…The commentary is viewed as an integral part of the translation and the creative translation process. …”
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