Human striatal progenitor cells that contain inducible safeguards and overexpress BDNF rescue Huntington’s disease phenotypes by Danielle A. Simmons, Sridhar Selvaraj, Tingshuo Chen, Gloria Cao, Talita Souto Camelo, Tyne L.M. McHugh, Selena Gonzalez, Renata M. Martin, Juste Simanauskaite, Nobuko Uchida, Matthew H. Porteus, Frank M. Longo

“…Human pluripotent stem cells (hPSCs) offer a scalable platform for NT delivery but have potential safety risks including teratoma formation. …”
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Fully automated extraction of high-quality total nucleic acids from FFPE specimens for comprehensive genomic profiling of solid tumors by Kristopher Amirault, Michael Collins, Luca Beker, Brandon Mills, Martina Werner, Jonathan Andreas, Daniel Hartman, Jordan Dargert, Vanessa Process, Sean Cederlund, Thuy Dao, Linnea Menin, Molly Ferrara, Andrew Briggs, Joshua Shreve, Daniel Metzger, Angela Stout, Erin Deblasi, Jie An, Taylor Jensen, Shengle Zhang, Vinesh Rana, Bryn Burlingame, Ulrich Thomann, Durga Prasad Dash, Sha Liao, Jeffrey M. Conroy, Eugenio Daviso

“…In this work we present an automated solution for upstream sample processing of solid tumors to enable high throughput and scalable CGP workflows by eliminating bottlenecks and enhancing results. …”
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InP/Si₃N₄ Hybrid Integrated Lasers for RF Local Oscillator Signal Generation in Satellite Payloads by Jessica César-Cuello, Alberto Zarzuelo, Robinson C. Guzmán, Charoula Mitsolidou, Ilka Visscher, Roelof B. Timens, Paulus W. L. Van Dijk, Chris G. H. Roeloffzen, Luis González, José Manuel Delgado Mendinueta, Guillermo Carpintero

“…The system is compact and highly scalable, with the potential to generate up to 10 simultaneous LO signals, being a promising solution for advanced RF signal generation in high throughput satellite payloads.…”
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Customer management in B2B markets in the context of digitalization by M. V. Orlova, V. V. Orlov

“…The analysis of the research, in turn, revealed promising areas in the management of all the company’s clients, such as the gradual introduction of digital marketing methods, the use of technological advances (artificial intelligence and cloud computing), the provision of more personalized experience, the creation of scalable strategies, the development and implementation of domestic digital platforms for managing all the company’s clients.…”
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Improvement of Assemble-to-Order Model Processes With Process Mining: Dynamic Analysis and Hybrid Approaches by Ufuk Celik, Yuksel Yurtay

“…This study demonstrates the potential of hybrid process mining techniques for understanding and improving ATO systems, offering a dynamic and scalable framework for addressing inefficiencies in similar production models.…”
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Engineering synthetic signaling receptors to enable erythropoietin-free erythropoiesis by Aadit P. Shah, Kiran R. Majeti, Freja K. Ekman, Sridhar Selvaraj, Devesh Sharma, Roshani Sinha, Eric Soupene, Prathamesh Chati, Sofia E. Luna, Carsten T. Charlesworth, Travis McCreary, Benjamin J. Lesch, Tammy Tran, Simon N. Chu, Matthew H. Porteus, M. Kyle Cromer

“…Our strategy not only addresses RBC production challenges but also demonstrates how protein and genome engineering can introduce precisely regulated cellular behaviors, potentially improving scalable manufacturing of a wide range of clinically relevant cell types.…”
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AI-driven video summarization for optimizing content retrieval and management through deep learning techniques by Deepali Vora, Payal Kadam, Dadaso D Mohite, Nilesh Kumar, Nimit Kumar, Pratheeik Radhakrishnan, Shalmali Bhagwat

“…By minimizing data duplication and optimizing resource usage, scalable solutions for large media collections are supported by the proposed system.…”
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Digital Interventions for the Rehabilitation of First-Episode Psychosis: An Integrated Perspective by Annarita Vignapiano, Francesco Monaco, Ernesta Panarello, Stefania Landi, Benedetta Di Gruttola, Raffaele Malvone, Vassilis Martiadis, Fabiola Raffone, Alessandra Marenna, Maria Pontillo, Valeria Di Stefano, Martina D’Angelo, Luca Steardo, Giulio Corrivetti

“…Future research should prioritize longitudinal studies, user engagement strategies, and advanced analytics to develop personalized, scalable solutions.…”
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Micromobility Station Placement Optimization for a Rural Setting by Taraneh Askarzadeh, Raj Bridgelall

“…This case study demonstrates a scalable workflow that planners can repeat to achieve sustainable micromobility deployments by considering the land use, population density, activity points, and characteristics of the available pathways in their unique setting.…”
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Hardware Accelerators Targeting a Novel Group Based Packet Classification Algorithm by O. Ahmed, S. Areibi, G. Grewal

“…In this paper, we propose a novel Group Based Search packet classification Algorithm (GBSA) that is scalable, fast, and efficient. GBSA consumes an average of 0.4 megabytes of memory for a 10 k rule set. …”
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Simulation Study on Cascading Failure of Multimodal Transport Network by Jingni Guo, Junxiang Xu, Zhenggang He, Wei Liao

“…In addition, the nodes in the multimodal transport network should have 0.3∼0.5 scalable space. In the cascading failure control method, load redistribution based on global-local allocation can minimize the impact of node overload.…”
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E-Commerce Shop Helviah Skincare Mobile Application by Marlia Sari, Lusia Septia ER, Muhammad Junaidi

“…This study contributes to the field of mobile commerce by showcasing a scalable solution that integrates technology and user-centered design to deliver tangible business outcomes.…”
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Design and development of an interactive consultation application for mental health management and support by Muhammad Rizky, Ikrimach

“…By integrating professional expertise with user-friendly technology, this research sets a precedent for addressing growing mental health needs through scalable digital solutions. Future iterations could expand multilingual capabilities, further broadening its reach and impact.…”
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A hybrid Genetic Algorithm and Fuzzy Logic approach to ergonomic design of workstations in metal casting operations by Intan Berlianty, Irwan Soejanto, Indun Titisariwati, Favian Ersanta Andhika Putra, Wahyu Tri Utami, Mohamad Kamil Insani

“…This innovative approach offers a scalable and reliable solution for improving ergonomics in dynamic industrial environments, contributing to both worker well-being and operational efficiency. …”
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A Trusted Federated Learning Method Based on Consortium Blockchain by Xiaojun Yin, Xijun Wu, Xinming Zhang

“…This blockchain-based solution provides a robust framework for creating secure, efficient, and scalable federated learning environments, ensuring reliable data sharing and trustworthy model training.…”
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Optimal Adaptive Antijamming in Wireless Sensor Networks by Yanmin Zhu, Xiangpeng Li, Bo Li

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MLP Enhanced CO2 Emission Prediction Model with LWSSA Nature Inspired Optimization by Agoub Abdulhafith Younes Mussa, Wagdi M. S. Khalifa

“…The study provides a reliable and scalable framework for CO₂ emission prediction, contributing to actionable strategies for sustainable development and environmental resilience.…”
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Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor Networks by E. Srie Vidhya Janani, P. Ganesh Kumar

“…The energy utilization of sensor nodes in large scale wireless sensor network points out the crucial need for scalable and energy efficient clustering protocols. …”
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Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes. by Deborah Kunkel, Peter Sørensen, Vijay Shankar, Fabio Morgante

“…By using summary data, we achieve the twin goal of increasing the applicability of the mr.mash model to data sets that are not publicly available and making it scalable to biobank-size data. Through simulations, we show that mr.mash-rss is competitive with, and often outperforms, current state-of-the-art methods for single- and multi-phenotype polygenic prediction in a variety of scenarios that differ in the pattern of effect sharing across phenotypes, the number of phenotypes, the number of causal variants, and the genomic heritability. …”
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