Shifting vegetation phenology in protected areas: A response to climate change by Irina Ontel, Sorin Avram, Carmen Adriana Gheorghe, Mihaita Iulian Niculae, Ionuț Silviu Pascu, Steliana Rodino

“…This study makes a significant contribution to ecological informatics by integrating phenological metrics with climate models, thereby providing a scalable framework that is applicable to other regions facing similar climatic challenges.…”
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Preclinical development of a standardized extract of Ilex paraguariensis A.St.-Hil for the treatment of obesity and metabolic syndrome by Sara E.L. Tolouei, Rodrigo Marcon, Fabiana Cardoso Vilela, Cristina Setim Freitas, Melina Heller, Edineia Lemos de Andrade, Sergio José Macedo Júnior, Adara Áurea dos Santos, Ruth Fernandes Rocha, Guilherme Pasetto Fadanni, Naiani Ferreira Marques, Jarbas Mota Siqueira Júnior, João B. Calixto

“…We present a comprehensive and complete non-clinical investigation of the efficacy, safety and putative mechanisms of action of a standardized aqueous extract of I. paraguariensis (TI-076). We also describe a scalable preparation of TI-076 and demonstrate its long-term stability. …”
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Techno-economic optimization of hybrid power systems for sustainable energy in remote communities of Iraq by Mohammed A. Qasim, Salam J. Yaqoob, Mohit Bajaj, Vojtech Blazek, Adel A. Obed

“…Finally, this research presents a realistic framework for the implementation of renewable energy systems in distant parts of Iraq, delivering a scalable, economically feasible, and ecologically sustainable approach to address increasing energy needs while reducing dependence on fossil fuels.…”
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Adaptation of an additively manufactured reactor concept for catalytic methanation with in-situ tar co-reforming of biogenic syngas by Jakob Müller, Alexander Feldner, Simon Markthaler, Peter Treiber, Jürgen Karl

“…ADDmeth3.1 uses a dedicated internal channel structure that serves as a counter-current heat exchanger for the feed gas, whereas ADDmeth3.2 is optimized to fill the triangular footprint of a scalable reactor module as best as possible. Both designs were subject to a preliminary feasibility study, to ensure sufficient heat removal and a finite element analysis regarding structural stability was performed. …”
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Vehicle Turn Pattern Counting and Short Term Forecasting Using Deep Learning for Urban Traffic Management System by Sundarakrishnan Narayanan, Sohan Varier, Tarun Bhupathi, Manaswini Simhadri Kavali, Mohana, P. Ramakanth Kumar, K. Sreelakshmi

“…Furthermore, the system is scalable to accommodate any number of cameras and is capable of forecasting traffic over extended time frames, allowing it to be applied to a variety of urban traffic monitoring scenarios. …”
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Standardization of the Agar Plate Method for Bacteriophage Production by Su Jin Jo, Young Min Lee, Kevin Cho, Seon Young Park, Hyemin Kwon, Sib Sankar Giri, Sung Bin Lee, Won Joon Jung, Jae Hong Park, Mae Hyun Hwang, Da Sol Park, Eun Jae Park, Sang Wha Kim, Jin Woo Jun, Sang Guen Kim, Ji Hyung Kim, Se Chang Park

“…These results highlight that the PSC model offers a standardized and scalable method for efficient phage production, which is crucial for personalized therapy and AMR management. …”
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Dynamic Key Replacement Mechanism for Lightweight Internet of Things Microcontrollers to Resist Side-Channel Attacks by Chung-Wei Kuo, Wei Wei, Chun-Chang Lin, Yu-Yi Hong, Jia-Ruei Liu, Kuo-Yu Tsai

“…This dynamic key replacement mechanism offers an effective, scalable, and resource-efficient solution for IoT applications, particularly in scenarios that demand robust protection against SCAs and low-latency performance.…”
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Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development by Anchal Dahiya, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Mohd Anul Haq, Mohammed A. Aleisa, Abdullah Alenizi

“…The present research mainly focuses on proposing a novel scalable hybrid model for accurately predicting parking space. …”
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A broad spectrum Shigella vaccine based on VirG53 – 353 multiepitope region produced in a cell-free system by Girmay Desalegn, Charlotte Abrahamson, K. Ross Turbyfill, Lucy Pill-Pepe, Leslie Bautista, Chitradevi S. Tamilselvi, Dylan Dunn, Neeraj Kapoor, Barbara Sullinger, Matheo Herrera, Edwin V. Oaks, Jeff Fairman, Marcela F. Pasetti

“…Seeking to refine the vaccine antigenic target and achieve scalable manufacturing compatible with Good Manufacturing Practices, we mapped linear B-cell epitopes spanning the entire VirG protein sequence by probing the immune reactivity of 10-mer peptides (overlapping 4–8 aa) with sera from Shigella-infected rhesus monkeys. …”
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Image-Based Detection and Classification of Malaria Parasites and Leukocytes with Quality Assessment of Romanowsky-Stained Blood Smears by Jhonathan Sora-Cardenas, Wendy M. Fong-Amaris, Cesar A. Salazar-Centeno, Alejandro Castañeda, Oscar D. Martínez-Bernal, Daniel R. Suárez, Carol Martínez

“…This study introduces a robust and scalable automated system that addresses critical challenges in malaria diagnosis by integrating advanced image quality assessment and deep learning techniques for parasite detection and classification. …”
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Assessment of RANS Models for Milli-Channel Turbulent Flow in Drip Irrigation Emitter by Qi Feng, Qingzheng Li, Yaojun Li, Xuefeng Qiu, Jiandong Wang, Xingfa Huang

“…The objective was to assess the performances of four RANS turbulence models: RNG <i>k-ε</i> (RNG), Realizable <i>k-ε</i> (RKE), SST <i>k-ω</i> (SST), and baseline <i>k-ω</i> (BSL), alongside three near-wall treatments: scalable wall function (SWF), enhanced wall treatment (EWT), and <i>y</i>⁺-insensitive wall treatment (YIWT) for emitter flow analysis. …”
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Efficient and Rapid Microfluidics Production of Bio-Inspired Nanoparticles Derived from <i>Bombyx mori</i> Silkworm for Enhanced Breast Cancer Treatment by Muhamad Hawari Mansor, Zijian Gao, Faith Howard, Jordan MacInnes, Xiubo Zhao, Munitta Muthana

“…<b>Conclusions</b>: This study underscores the utility of the swirl mixer for efficient and scalable fabrication of bio-inspired SFPs, supporting their application in targeted cancer drug delivery. …”
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Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

“…The AAIFLF-PPCD approach aims to ensure robust and scalable cyberthreat detection while preserving the privacy of IoT users in smart cities. …”
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FPGA-Based Distributed Union-Find Decoder for Surface Codes by Namitha Liyanage, Yue Wu, Siona Tagare, Lin Zhong

“…The implementation employs a scalable architecture called Helios that organizes parallel computing resources into a hybrid tree-grid structure. …”
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Cell clone selection—impact of operation modes and medium exchange strategies on clone ranking by Marie Dorn, Christine Ferng, Kerensa Klottrup-Rees, Kenneth Lee, Martina Micheletti

“…However, the focus has been on developing a suitable and scalable perfusion strategy with little attention given to the selection of optimal cell clones. …”
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Network relationship between cognitive function and quality of life in community-dwelling older adults: an observational study from Beijing by Yitian Ye, Yichun Zhang, Jiaju Ren, Yanbo Zhu, Yanbo Zhu

“…Future research should explore causal relationships and develop scalable strategies to support aging populations.…”
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Effectiveness of Digital Mental Health Interventions in the Workplace: Umbrella Review of Systematic Reviews by Gillian Cameron, Maurice Mulvenna, Edel Ennis, Siobhan O'Neill, Raymond Bond, David Cameron, Alex Bunting

“… BackgroundThere is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings. …”
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Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study by William Trevena, Xiang Zhong, Michelle Alvarado, Alexander Semenov, Alp Oktay, Devin Devlin, Aarya Yogesh Gohil, Sai Harsha Chittimouju

“…ConclusionsThis study demonstrated the effectiveness of open- and closed-source LLMs, such as GPT-4o and BART, for detecting DDEs and their root causes from publicly accessible data through zero-shot classification. The robust and scalable framework we propose can aid researchers in addressing data-sparse clinical research questions. …”
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Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study by Taehwan Kim, Jung-Yeon Choi, Myung Jin Ko, Kwang-il Kim

“…These results suggest that speech-based AI models offer a noninvasive, scalable method for frailty detection, potentially streamlining assessments in clinical and community settings.…”
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Advanced Path Planning for UAV Swarms in Smart City Disaster Scenarios Using Hybrid Metaheuristic Algorithms by Mohammed Sani Adam, Nor Fadzilah Abdullah, Asma Abu-Samah, Oluwatosin Ahmed Amodu, Rosdiadee Nordin

“…This research establishes the APC-GA hybrid as a scalable and QoS-compliant solution for UAV deployment in disaster response scenarios. …”
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