A VersaTile Approach to Reprogram the Specificity of the R2-Type Tailocin Towards Different Serotypes of <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> by Dorien Dams, Célia Pas, Agnieszka Latka, Zuzanna Drulis-Kawa, Lars Fieseler, Yves Briers

“…<b>Conclusions:</b> This work lays the groundwork for a scalable platform for the development of engineered tailocins, marking an important step towards making R2 tailocins a practical therapeutic tool for targeted bacterial infections.…”
Get full text

Enhancing epidemic preparedness: a data-driven system for managing respiratory infections by Moslem Sarani, Katayoun Jahangiri, Manoochehr Karami, Mohammadreza Honarvar

“…Conclusion The prototype EWS represents a scalable and integrative framework aimed at enhancing public health applications, particularly in the context of respiratory infections. …”
Get full text

Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

“…By integrating advanced remote sensing with drone-based technologies, it offers a scalable and cost-effective solution to the challenges of biodiversity monitoring, enabling timely updates and supporting effective habitat management in diverse and complex environments.…”
Get full text

Power and data simultaneous transmission using double-clad fibers towards 6G by Letícia Carneiro de Souza, Felipe Batista Faro Pinto, Tomas Powell Villena Andrade, Arismar Cerqueira Sodré Junior

“…The obtained experimental data highlight the feasibility of integrating optical and wireless technologies for supporting more reliable and scalable beyond 5G (B5G) and 6G systems.…”
Get full text

A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups by A. Jayanth Balaji, Binoy B. Nair, D. S. Harish Ram, Kuruvachan Kalluvelil George

“…The second challenge encountered is maintaining and operationalizing individual consumption forecasting models as they are not easily scalable. A methodology is proposed to generate deep learning-based models capable of forecasting energy consumption simultaneously for large user groups. …”
Get full text

mRNA technology as one of the promising platforms for the SARS-CoV-2 vaccine development by A. A. Ilyichev, L. A. Orlova, S. V. Sharabrin, L. I. Karpenko

“…The essential advantage of mRNA-vaccines includes fast, inexpensive, scalable and uniform production providing a large output of desirable products in vitro. …”
Get full text

APAH: An autonomous IoT driven real-time monitoring system for Industrial wastewater by Nishant Chavhan, Resham Bhattad, Suyash Khot, Shubham Patil, Aditya Pawar, Tejasvi Pawar, Palomi Gawli

“…To address this issue, this research article presents the state-of-the-art IoT-based autonomous real-time nonitoring system (APAH), a scalable and frugal solution for industrial wastewater management. …”
Get full text

Accounting for Australia’s threatened species: Estimating historical and recent change in terrestrial habitat by Katherine M. Giljohann, Karel Mokany, Simon Ferrier, Thomas D. Harwood, Chris Ware, Kristen J. Williams

“…The data and metric are spatially explicit and scalable, enabling aggregation over any spatial area such as for biophysical ecosystem accounting. …”
Get full text

Sustainable thermal buffering of microencapsulated bio-phase change materials through an engineered biochar dopant by Dimberu G. Atinafu, Ji Yong Choi, Jihee Nam, Beom Yeol Yun, Sumin Kim

“…This study suggests a promising strategy for designing high-performance, eco-friendly, and scalable bio-based composite PCMs by overcoming the long-standing bottleneck of microcapsules, which is crucial for advanced thermal management applications such as cooling and green buildings. …”
Get full text

Effect of a Short, Animated Storytelling Video on Transphobia Among US Parents: Randomized Controlled Trial by Doron Amsalem, Merlin Greuel, Shuyan Liu, Andrés Martin, Maya Adam

“…ObjectiveAddressing the urgent need for effective, scalable interventions, this study evaluates a novel digital approach: short, animated storytelling videos. …”
Get full text

A Personalised Optimising Level Adaptation (OLA) Difficulty Algorithm for Scenario Simulations in Professional VR Simulators by Marcin Wolański Robert, Karol Jędrasiak

“…This structure enables rapid adaptation, making it particularly beneficial for fire and rescue training, where realistic, yet scalable, scenario complexity is critical to preparing for unpredictable conditions in the field. …”
Get full text

In-Situ Polymerization for Catalytic Graphitization of Boronated PAN Using Aluminum and Zirconium Containing Co-Catalysts by Taewoo Kim, Byoung-Suhk Kim, Tae Hoon Ko, Hak Yong Kim

“…This study provides valuable insights into synthesizing high-quality graphitic carbon materials, offering promising pathways for their scalable production through the strategic use of in-situ polymerization and co-catalysis. …”
Get full text

Three-Dimensional Printable Magnetic Hydrogels with Adjustable Stiffness and Adhesion for Magnetic Actuation and Magnetic Hyperthermia Applications by Xueting Xuan, Yi Li, Xing Xu, Zhouyi Pan, Yu Li, Yonghao Luo, Li Sun

“…This advancement marks a significant step toward the scalable production of next-generation intelligent hydrogels for precision medicine and bioengineering.…”
Get full text

Deep-TEMNet: A Hybrid U-Net–2D LSTM Network for Efficient and Accurate 2.5D Transient Electromagnetic Forward Modeling by Zhijie Qu, Yuan Gao, Kang Xing, Xiaojuan Zhang

“…By combining U-Net’s spatial resolution capabilities with the sequential processing strength of the 2D LSTM module, Deep-TEMNet significantly advances computational efficiency and accuracy, positioning it as a valuable tool for geophysical exploration, environmental monitoring, and other applications requiring scalable, real-time TEM analyses that are easily integrated into remote sensing workflows.…”
Get full text

Assessing patient experiences with a Virtual Triage and Assessment Centre (VTAC): a mixed-methods study using an online survey and semi-structured interviews in Renfrew County, Ont... by Antoine St-Amant, Cayden Peixoto, Dez Bair-Patel, Martha Heideman, Kayla Menkhorst, Jonathan Fitzsimon

“…This model may also serve as a scalable solution for improving healthcare access in underserved regions facing similar challenges.…”
Get full text

Fine-tuning GBS data with comparison of reference and mock genome approaches for advancing genomic selection in less studied farmed species by Daniel Fischer, Miika Tapio, Oliver Bitz, Terhi Iso-Touru, Antti Kause, Ilma Tapio

“…Results DdRAD data generation was designed for a reliable estimation of relatedness and is scalable to up to 384 samples. The GBS sequencing yielded approximately one million reads for each of the around 100 assessed samples. …”
Get full text

Experiences and Challenges of the Integrated Development Model on Job Creation in Rwanda’s Gasabo District. by Rutarindwa, Alphonse, Ocan, Johnson, Adyanga, Francis Akena

“…By highlighting the role of community-based interventions, this research can provide a scalable model for other districts in Rwanda and beyond. …”
Get full text

Advanced matter-element extension model and machine learning for source-specific probabilistic health risk assessment of heavy metals/metaloids in soil-rose systems in Kushui, Nort... by Jun Li, Li-Bang Ma, Jun-Zhuo Liu, Xu Li, Yun-Qin Yang, Xi-Sheng Tai, Fa-Yuan Zhou, Fei Zang

“…This framework refines contamination assessment, enhances source apportionment, and provides a scalable model for global agricultural and environmental risk management.…”
Get full text

Visual and High-Efficiency Secretion of SARS-CoV-2 Nanobodies with <i>Escherichia coli</i> by Shuai Zhao, Wanting Zeng, Fang Yu, Pingping Xu, Chin-Yu Chen, Wanping Chen, Yanming Dong, Fei Wang, Lixin Ma

“…Nanobodies have gained attention as potential therapeutic and diagnostic agents for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) due to their ability to bind and neutralize the virus. However, rapid, scalable, and robust production of nanobodies for SARS-CoV-2 remains a crucial challenge. …”
Get full text

AI-based carbon peak prediction and energy transition optimization for thermal power industry in energy-intensive regions of China by Chenhao Huang, Zhongyang Lin, Jian Wu, Penghan Li, Chaofeng Zhang, Yanzhao Liu, Weirong Chen, Xin Xu, Jinsong Deng

“…Furthermore, through intelligent scenario simulation and optimal decision-making, the proposed replicable and scalable methodological framework facilitates achieving relevant Sustainable Development Goals (e.g., SDG 7, 12, and 13) across different industries and regions.…”
Get full text