Population-Level SARS-CoV-2 RT–PCR Cycle Threshold Values and Their Relationships with COVID-19 Transmission and Outcome Metrics: A Time Series Analysis Across Pandemic Years by Judith Carolina De Arcos-Jiménez, Ernestina Quintero-Salgado, Pedro Martínez-Ayala, Gustavo Rosales-Chávez, Roberto Miguel Damian-Negrete, Oscar Francisco Fernández-Diaz, Mariana del Rocio Ruiz-Briseño, Rosendo López-Romo, Patricia Noemi Vargas-Becerra, Ruth Rodríguez-Montaño, Ana María López-Yáñez, Jaime Briseno-Ramirez

“…These findings underscore the value of Ct values as scalable tools for public health surveillance and highlight the importance of contextualizing their analysis within specific epidemiological and temporal frameworks. …”
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Prilling as an Effective Tool for Manufacturing Submicrometric and Nanometric PLGA Particles for Controlled Drug Delivery to Wounds: Stability and Curcumin Release by Chiara De Soricellis, Chiara Amante, Paola Russo, Rita Patrizia Aquino, Pasquale Del Gaudio

“…Conclusions: These findings underline the potential of this scalable technique for biomedical applications, offering a versatile platform for designing drug delivery systems with tailored release characteristics.…”
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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury

“…This work offers a robust, scalable solution for securing WSNs, contributing to both academic research and practical applications.…”
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Facile synthesis of nanoporous Mg crystalline structure by organic solvent-based reduction for solid-state hydrogen storage by Hyesun Kim, HyeonJi Kim, Wonsik Kim, Choah Kwon, Si-Won Jin, Taejun Ha, Jae-Hyeok Shim, Soohyung Park, Aqil Jamal, Sangtae Kim, Eun Seon Cho

“…It is expected that the synthetic strategy conceived in this study can be further implemented to prepare different kinds of reactive porous metals in a facile and scalable way for the development of large-scale and distributed hydrogen storage systems for the emerging low-carbon hydrogen economy.…”
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Weakly-Supervised Deep Shape-From-Template by Sara Luengo-Sanchez, David Fuentes-Jimenez, Cristina Losada-Gutierrez, Daniel Pizarro, Adrien Bartoli

“…WS-DeepSfT thus offers a robust, efficient, and scalable approach to SfT, bringing it closer to applications such as augmented reality.…”
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Kansei Analysis of the Japanese Residential Garden and Development of a Low-Cost Virtual Reality Kansei Engineering System for Gardens by Tatsuro Matsubara, Shigekazu Ishihara, Mitsuo Nagamachi, Yukihiro Matsubara

“…The garden is shown in public-view style with stereo 3D graphic projection. The rendering is scalable from low to high resolution and enables drop object shadowing, which is indispensable for considering the effect of daytime changes in insolation. …”
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Real-Time Physics Simulation Method for XR Application by Nak-Jun Sung, Jun Ma, Kunthroza Hor, Taeheon Kim, Hongly Va, Yoo-Joo Choi, Min Hong

“…This study offers a robust, scalable framework for real-time physics simulations, facilitating more natural and immersive XR experiences.…”
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Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption by Minjian Li, Chongqiao Tang, Junhan Gu, Nianchu Li, Ahemaide Zhou, Kunlin Wu, Zhibo Zhang, Hui Huang, Hongqiang Ren

“…The findings not only enhance understanding of WWTP electricity consumption patterns and provide a scalable model for wider application, but also demonstrate a novel methodology for addressing multi-variable problems.…”
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Effect of Dietary Fibre Fractions on In Vitro Digestibility of Rapeseed Napin Proteins by Joehnke Marcel Skejovic, Sørensen Susanne, Bjergegaard Charlotte, Markedal Keld Ejdrup, Sørensen Jens Christian

“…This study investigated the interplay between rapeseed (Brassica napus L.) protein and fibre constituents separated by industrially scalable pilot plant processing and recombined in mixed samples. …”
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Flexible touch and gesture recognition system for curved surfaces with machine learning for assistive applications by Gitansh Verma, Shrutidhara Sarma, Eugen Koch, Andreas Dietzel

“…Based on the identified gesture, the system enables users to type text or control external devices with minimal physical effort. Its scalable fabrication, high sensitivity, mechanical resilience and seamless ML integration establishes it as a powerful and efficient tool for assistive technologies, designed to support individuals with limited speech and mobility, such as those with quadriplegia or paralysis.…”
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Advancements in Microextraction by Packed Sorbent: Insights into Sorbent Phases and Automation Strategies by Rafael Oliveira Martins, João Victor Basolli Borsatto, Camila Will, Fernando Mauro Lanças

“…These advancements have elevated MEPS beyond traditional offline miniaturized sample preparation methods, offering new opportunities for streamlined and scalable analyses. Therefore, this study provides a comprehensive overview of novel sorbent phases used in MEPS, with a particular focus on both bio-based and synthetic materials. …”
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Navigating COVID-19 Surges: A Case Study of a Hospital-at-Home Implementation by Jin Wee Ng, Milawaty Nurjono, Michelle Mong Nee Kee, Hong Choon Oh, Qin Yong See

“…This study documents the experience of implementing an adaptation of the Hospital-at-Home (HaH) model to alleviate the constraints in available hospital beds and manpower amid a surge in infection rates in Singapore during the Omicron and XBB COVID waves, addressing challenges and proposing insights for scalable implementation. HaH substitutes inpatient hospitalizations by leveraging existing community healthcare services and remote healthcare technologies. …”
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Deep Reinforcement Learning-Based Speed Predictor for Distributionally Robust Eco-Driving by Rajan Chaudhary, Nalin Kumar Sharma, Rahul Kala, Sri Niwas Singh

“…Validated through case studies across simulated and real-world driving cycles, the solution is scalable, computationally efficient, and suitable for real-time applications in Intelligent Transportation Systems (ITS), making it a viable approach for enhancing sustainability in non-communicating vehicle environments.…”
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LiveDrive AI: A Pilot Study of a Machine Learning-Powered Diagnostic System for Real-Time, Non-Invasive Detection of Mild Cognitive Impairment by Firas Al-Hindawi, Peter Serhan, Yonas E. Geda, Francis Tsow, Teresa Wu, Erica Forzani

“…The implications of this work suggest a transformative step towards scalable, real-world solutions for early AD diagnosis, with the potential to improve patient outcomes and disease management.…”
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Acoustic tags versus camera—a case study on feeding behaviour of European seabass in sea cages by I-Hao Chen, I-Hao Chen, Dimitra G. Georgopoulou, Lars O. E. Ebbesson, Dimitris Voskakis, Antonella Zanna Munthe-Kaas, Nikos Papandroulakis

“…IntoductionWith the expansion of the aquaculture industry, the need arises for scalable, reliable, and robust methods to assess fish behaviour in sea cages to guide operational management, which includes feeding optimisation and welfare assessments. …”
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Attention-enhanced corn disease diagnosis using few-shot learning and VGG16 by Ruchi Rani, Jayakrushna Sahoo, Sivaiah Bellamkonda, Sumit Kumar

“…. • Incorporating a fine-tuned VGG16 backbone along with an attention mechanism and prototypical Few-Shot Learning results in a robust and scalable solution with high accuracy for classifying corn diseases.…”
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A Three‐Terminal Memristive Artificial Neuron with Tunable Firing Probability by Mila Lewerenz, Elias Passerini, Luca Weber, Markus Fischer, Nadia Jimenez Olalla, Raphael Gisler, Alexandros Emboras, Mathieu Luisier, Miklos Csontos, Ueli Koch, Juerg Leuthold

“…To date, the latter two key features are critically missing from the toolbox of artificial spiking neural network hardware, hindering the development of scalable and sustainable artificial intelligence (AI) platforms. …”
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Manipulation of 2D and 3D Magnetic Solitons Under the Influence of DMI Gradients by Rayan Moukhader, Davi Rodrigues, Eleonora Raimondo, Vito Puliafito, Bruno Azzerboni, Mario Carpentieri, Abbass Hamadeh, Giovanni Finocchio, Riccardo Tomasello

“…This study provides a deeper and crucial understanding of the stability and gradient-driven dynamics of magnetic solitons, paving the way for the design of scalable spintronics token-based computing devices.…”
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Electric Field Cycling of Physisorbed Antibodies Reduces Biolayer Polarization Dispersion by Cinzia Di Franco, Eleonora Macchia, Michele Catacchio, Mariapia Caputo, Cecilia Scandurra, Lucia Sarcina, Paolo Bollella, Angelo Tricase, Massimo Innocenti, Riccardo Funari, Matteo Piscitelli, Gaetano Scamarcio, Luisa Torsi

“…However, surface physisorption is shown to offer advantages like easily scalable fabrication processes and high stability. …”
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PHARAOH: A collaborative crowdsourcing platform for phenotyping and regional analysis of histology by Kevin Faust, Min Li Chen, Parsa Babaei Zadeh, Dimitrios G. Oreopoulos, Alberto J. Leon, Ameesha Paliwal, Evelyn Rose Kamski-Hennekam, Marly Mikhail, Xianpi Duan, Xianzhao Duan, Mugeng Liu, Narges Ahangari, Raul Cotau, Vincent Francis Castillo, Nikfar Nikzad, Richard J. Sugden, Patrick Murphy, Safiyh S. Aljohani, Philippe Echelard, Susan J. Done, Kiran Jakate, Zaid Saeed Kamil, Yazeed Alwelaie, Mohammed J. Alyousef, Noor Said Alsafwani, Assem Saleh Alrumeh, Rola M. Saleeb, Maxime Richer, Lidiane Vieira Marins, George M. Yousef, Phedias Diamandis

“…Both the custom model design and feature extraction pipelines are amenable to crowdsourcing, positioning PHARAOH to become a fully scalable, systems-level solution for the expansion, generalization and cataloging of computational pathology applications.…”
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