RECLAIM—A retrospective, multicenter observational study aimed at enabling the development of artificial intelligence-driven prognostic models for disease progression in multiple s... by Jelle Praet, Lina Anderhalten, Giancarlo Comi, Giancarlo Comi, Dana Horakova, Tjalf Ziemssen, Patrick Vermersch, Carsten Lukas, Koen Van Leemput, Koen Van Leemput, Koen Van Leemput, Marjan Steppe, Noemí Manero, Ella Kadas, Alexis Bernard, Jean van Rampelbergh, Erik de Boer, Vera Zingler, Dirk Smeets, Annemie Ribbens, Friedemann Paul, Friedemann Paul, Friedemann Paul, Friedemann Paul, Friedemann Paul

“…As many regulatory-cleared disease-modifying treatments aiming to slow down this progression are now available, a clear need has arisen for a personalized and data-driven approach to treatment optimization in order to more efficiently slow down disease progression and eventually, progressive disability worsening. …”
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A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications by Dipraj Debnath, Fernando Vanegas, Juan Sandino, Ahmad Faizul Hawary, Felipe Gonzalez

“…It further analyses obstacle detection and avoidance methods, as well as their capacity to adapt, optimise, and compute efficiently in different operational environments. The outcomes highlight the advantages and limitations of each method, offering valuable information regarding their suitability for remote sensing applications, such as precision agriculture, urban mapping, and ecological surveillance. …”
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Prevention and Rehabilitation of the Athletic Hamstring Injury by Adriana Geraci, P.T., D.P.T., Delaney Mahon, P.T., D.P.T., Eric Hu, B.S., Jesus E. Cervantes, B.S., Shane J. Nho, M.D., M.S.

“…The purpose of this article is to summarize the different features and evaluation of hamstring injuries in athletes, highlight evidence-based rehabilitation interventions, and identify preventative strategies to effectively and efficiently treat athletes, particularly baseball players, with hamstring injuries. …”
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Mass transfer strategies for MicroLED chip assembly: pick-and-place techniques and fluidic self-assembly methods by Jinsheng Zhao, Xiangyu Li, Yangmin Li, Lidong Yang

“…The former is further classified based on different adhesion modulation mechanisms, while the latter is classified based on different driving forces. …”
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Influence of Migratory Strategy, Group Size, and Environmental Conditions on the Movements of Caribou in Eastern Alaska by Kyle Joly

“…The ability of caribou (<i>Rangifer tarandus granti</i>) to efficiently move long distances and have a high degree of plasticity in their movements allows them to respond and be resilient to dynamic and dramatic differences in environmental conditions. …”
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Method Validation for Progesterone Determination in Poly(methyl methacrylate) Nanoparticles Synthesized via Miniemulsion Polymerization by Odinei Fogolari, Arlindo Cristiano Felippe, Fernanda Vitória Leimann, Odinei Hess Gonçalves, Claudia Sayer, Pedro Henrique Hermes De Araújo

“…Polymerization gravimetric conversions obtained for both cases were higher than 95% and encapsulation efficiencies greater than 69% and 90% for the nanospheres and nanocapsules, respectively.…”
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La biodiversidad y los servicios ecosistémicos en sistemas agroecológicos. Una revisión by Wendy Mercedes Ramírez-Suárez, Jorge Carlos López-Chouza, María de los Ángeles Flores-Acosta, Saray Sánchez-Cárdenas, Pedro Lázaro Rodríguez-Morejón

“…Conclusions: Multifunctional, biodiverse ecosystems that implement management practices that optimize land use and efficiently manage ecosystem services should become the paradigm for sustainable agroecosystem management. …”
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The Evolutionary Pathway of Low-mass Supermassive Black Holes at Intermediate Redshift: Insights from the JADES Survey by Atsushi Hoshi, Toru Yamada

“…Understanding the relationship between supermassive black holes (SMBHs) and their host galaxies at different redshifts is crucial for unraveling the processes of SMBH–galaxy coevolution. …”
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Classification of pulmonary diseases from chest radiographs using deep transfer learning. by Muneeba Shamas, Huma Tauseef, Ashfaq Ahmad, Ali Raza, Yazeed Yasin Ghadi, Orken Mamyrbayev, Kymbat Momynzhanova, Tahani Jaser Alahmadi

“…It has been observed that the promising results of our proposed model will be valuable tool for practitioners in decision-making and efficiently diagnosing various pulmonary diseases.…”
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Microbial Identification Through Multispectral Infrared Imaging of Colonies: A New Type of Morpho‐Spectral Fingerprinting by Joel Le Galudec, Mathieu Dupoy, Laurent Duraffourg, Véronique Rebuffel, Pierre R. Marcoux

“…In total, 2253 microbial colonies were imaged at 9 different mid‐infrared wavelengths. Machine learning classification correctly identified up to 94.4% ± 1.6 of colonies fingerprints, efficiently discriminating even closely related strains. …”
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Insights from Smart City Initiatives for Urban Sustainability and Contemporary Urbanism by Águeda Veloso, Fernando Fonseca, Rui Ramos

“…Urbanization growth poses various challenges, such as congestion, pollution, and resource consumption, prompting city planners and governments to adopt smart systems to manage these issues more efficiently. Despite widespread adoption, there is no consensus on the defining attributes of smart cities, particularly regarding their role in urban sustainability and contemporary urbanism. …”
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Data stream-pairwise bottleneck transformer for engagement estimation from video conversation by Keita Suzuki, Nobukatsu Hojo, Kazutoshi Shinoda, Saki Mizuno, Ryo Masumura

“…For this task, the interaction among numerous data streams, such as video and audio from multiple participants, should be modeled effectively, considering the redundancy of video and audio across frames. To efficiently model participant interactions while accounting for such redundancy, a previous study proposed inputting participant feature sequences into global token-based transformers, which constrain attention across feature sequences to pass through only a small set of internal units, allowing the model to focus on key information. …”
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INFLUENCE OF DAILY SUPPLEMENTATION OF CARIB PODS (Ceratonia Siliqua L.) AS POLYPHENOL RICH PLANTS ON RUMEN FERMENTATION AND LAMBS GROWTH PERFORMANCE by Mohamed Samir KHALEL, Mohamed Helmy YACOUNT, Ayman Abdel-Mohsen HASSAN, Amr Mohamed SHWERAB, Dorina MOCUTA, Adrian TUREK-RAHOVEANU

“…In addition to more effective degradability of DM and CP, feed and economic efficiencies and daily weight gain. Supplementation with 100 g carob pods was the worst one. …”
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Inclusive participation in information and communication technologies (ICTs) processes for smart services in the city of Johannesburg by Elvin Shava, Shikha Vyas-Doorgapersad

“…One issue that leads to ICT efficiencies in the CoJ is data fragmentation from numerous municipal agencies. …”
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Implementation and analysis of EMQX broker for MQTT protocol in the Internet of Things by Monika Kashyap, Ansh Kumar Dev, Vidushi Sharma

“…After a rigorous analysis, the EMQX broker-based MQTT protocol is investigated to transfer the data between the clients efficiently. The implementation and performance analysis of the EMQX broker-based MQTT protocol is assessed in depth with respect to the published and subscribed rates of data packets. …”
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Modulation by NPY/NPF-like receptor underlies experience-dependent, sexually dimorphic learning by Sonu Peedikayil-Kurien, Rizwanul Haque, Asaf Gat, Meital Oren-Suissa

“…Here, we reveal sexual dimorphism in learning: C. elegans males do not learn to avoid the pathogenic bacteria PA14 as efficiently and rapidly as hermaphrodites. Notably, neuronal activity following pathogen exposure was dimorphic: hermaphrodites generate robust representations, while males, in line with their behavior, exhibit contrasting representations. …”
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Private Enforcement and Market Regulation by Sara Landini

“…The Principle of subsidiarity states that a wider and greater body, such as a government, should not exercise functions that can be carried out efficiently by a smaller one, such as an individual or a private group, acting independently. …”
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Comprehensive approach to modeling and simulation of dynamic soft-sensing design for real-time building energy consumption by Kai Liu, Ting-Zhang Liu, Ping Fang, Zhan-Pei Li

“…Both the simulation of building thermal load and experiment results demonstrate that the proposed autoregressive and particle swarm optimization neural network method can recognize soft sensing of the building thermal load much more quickly and efficiently, and achieve higher accuracy in both cooling load and heating load prediction.…”
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Research on the Construction and Application of a SVM-Based Quantification Model for Streetscape Visual Complexity by Jing Zhao, Wanyue Suo

“…This study proposes a visual complexity quantification model based on a support vector machine (SVM), incorporating six key indicators, to establish a mapping relationship between objective image features and subjective complexity perception. This model can efficiently and scientifically predict street view complexity on a large scale. …”
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Assessing the practicality of using freely available AI-based GPT tools for coach learning and athlete development by Katherine A. O'Brien, Sarah Prentice

“…One dialogue dataset was selected by means of two different freely available AI-based GPT tools: ChatGPT v4 and DeepSeek v3. …”
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