A Study on New Generation Electro-pneumatic Braking Control Technology for Autonomous-rail Rapid Tram by LIANG Peng, YU Jieren, LUO Xiaofeng, LI Taipeng

“…This simplification of the air circuit layout optimizes space use and centralizes control functions. This electro-pneumatic braking control system employs a pressure regulating valve that has been fully verified by rail transit, coupled with a new pressure regulating algorithm of the electronic control unit, making pressure regulation more stable, with higher accuracy and fewer actions. …”
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Application of DC-AC Hybrid Grid and Solar Photovoltaic Generation with Battery Storage Using Smart Grid by Shoaib Rauf, Nasrullah Khan

“…Another benefit is to integrate renewable energy resources with existing dump grid in more efficient and cost-effective manner. In past few years, growing demand for sustainable energy increases the consumption of solar PV. …”
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Advanced microfluidic strategies for core-shell nanoparticles: the next-generation of polymeric and lipid-based drug nanocarriers by Giuseppe Nunziata, Alessandro Borroni, Filippo Rossi

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Optimal Reactive Power Generation for Radial Distribution Systems Using a Highly Effective Proposed Algorithm by Le Chi Kien, Thuan Thanh Nguyen, Bach Hoang Dinh, Thang Trung Nguyen

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Complete-basis-reprogrammable coding metasurface for generating dynamically-controlled holograms under arbitrary polarization states by Zuntian Chu, Xinqi Cai, Ruichao Zhu, Tonghao Liu, Huiting Sun, Tiefu Li, Yuxiang Jia, Yajuan Han, Shaobo Qu, Jiafu Wang

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T cell-specific non-viral DNA delivery and in vivo CAR-T generation using targeted lipid nanoparticles by Jacek Lubelski, Eline van Diest, Ator Ashoti, Christina Zotou, Hanneke Rijssemus, Raymond Schiffelers, Zhiyong Lei, Maurits Geerlings, Jaime Fernández Bimbo, Daniel E Murphy, Martijn J W Evers, Suneel A Narayanavari, Diana Pereira Vaz, Nadine Saber, Peter Mayrhofer

“…NCtx represents a novel non-viral gene therapy vector for in vivo CAR-T therapy, offering a scalable and potentially more accessible alternative to traditional approaches in CAR-T cell generation.…”
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Application of Machine Learning Methods for Identifying Wave Aberrations from Combined Intensity Patterns Generated Using a Multi-Order Diffractive Spatial Filter by Paval. A. Khorin, Aleksey P. Dzyuba, Aleksey V. Chernykh, Muhammad A. Butt, Svetlana N. Khonina

“…A multi-order combined diffraction spatial filter, integrated with a set of Zernike phase functions (representing wavefront aberrations) and Zernike polynomials, enables the simultaneous formation of multiple aberration-transformed point spread function (PSF) patterns in a single plane. …”
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Gait instability is a more specific predictor of corticospinal tract function than gait speed in clinically stable multiple sclerosis by Furkan Bilek, Arthur R. Chaves, Oleksandr Fesenko, Michelle Ploughman

“…Abstract Multiple sclerosis (MS) research requires new, more sensitive, behavioral biomarkers that map to subtle central nervous system injury. …”
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Semi-supervised emotion-driven music generation model based on category-dispersed Gaussian Mixture Variational Autoencoders. by Zihao Ning, Xiao Han, Jie Pan

“…Additionally, the model successfully disentangles and separates various musical features, facilitating more accurate emotion-driven music generation and emotion transitions through feature manipulation.…”
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Monitoring fibrous scaffold guidance of three-dimensional collagen organisation using minimally-invasive second harmonic generation. by Robin M Delaine-Smith, Nicola H Green, Stephen J Matcher, Sheila MacNeil, Gwendolen C Reilly

“…Three-dimensional second harmonic generation images showed that deposited collagen was more uniformly distributed in random constructs but aligned constructs were more organised and had higher intensities. …”
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Synergizing transformer-based models and financial sentiment analysis: A framework for generative AI in economic decision-making by Nouri Hicham, Nassera Habbat

“…These datasets, primarily sourced from social media, reflect diverse investor perspectives. Generative AI models, like GPT-3.5 and GPT-4, are used to create more data, and the meaning of words is enhanced using techniques like BERT and Word2Vec. …”
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Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies by Julieth K Riveros, Paola A Saavedra, Héctor J Hortúa, Jorge Enrique García-Farieta, Ivan Olier

“…Next-generation galaxy surveys promise unprecedented precision in testing gravity at cosmological scales. …”
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The influence of hydroelectric power generation and water level variability on market clearing prices: A case study of Türkiye by Tamer Emre

“…The escalating effects of climate change on hydrological patterns and the increasing reliance on renewable energy necessitate more precise electricity price forecasting. This study investigates how hydroelectric power generation influences the Market Clearing Price (MCP) in Türkiye’s electricity market, with particular attention to seasonal variability and market structure.The core research question addresses whether fluctuations in water levels and hydroelectric output exert a statistically and economically significant impact on MCP formation. …”
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Green Power Generation by Microbial Fuel Cells Using Pharmaceutical Wastewater as Substrate and Electroactive Biofilms (Bacteria/Biocarbon) by Ivonne L. Alonso-Lemus, Carlos Cobos-Reyes, Mayra Figueroa-Torres, Beatriz Escobar-Morales, K. Kunhiraman Aruna, Prabhu Akash, Fabian Fernández-Luqueño, Javier Rodríguez-Varela

“…In this work, electroactive biofilms of Bacillus subtilis (B. subtilis) or Escherichia coli (E. coli) were supported on functionalized biocarbon (AB7-F), which was synthesized from waste leather and was used as catalysts to develop bioanodes for microbial fuel cells (MFCs). …”
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A deep learning approach for white blood cells image generation and classification using SRGAN and VGG19 by Jannatul Ferdousi, Soyabul Islam Lincoln, Md. Khorshed Alom, Md. Foysal

“…Firstly, microscopic images of WBCs are generated using the SRGAN to obtain more precise and high-resolution images, which are then classified with a pretrained VGG19 classifier. …”
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Current progress and remaining challenges of peptide–drug conjugates (PDCs): next generation of antibody-drug conjugates (ADCs)? by Dongyuan Wang, Feng Yin, Zigang Li, Yu Zhang, Chen Shi

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Efficient Generation of Induced Pluripotent Stem Cell-Derived Definitive Endoderm Cells with Growth Factors and Small Molecules by Faizal Z. Asumda, Shadia Alzoubi, Kiyasha Padarath, Nina John, Kimya Jones, Ravindra Kolhe, Ashis Kumar Mondal, Tae Jin Lee, Wenbo Zhi, Robert C. Huebert, Nathan P. Staff, Lindsey A. Kirkeby

“…However, for hepatic specification, the GF protocol is more effective.…”
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MagicCraft: Natural Language-Driven Generation of Dynamic and Interactive 3D Objects for Commercial Metaverse Platforms by Ryutaro Kurai, Takefumi Hiraki, Yuichi Hiroi, Yutaro Hirao, Monica Perusquia-Hernandez, Hideaki Uchiyama, Kiyoshi Kiyokawa

“…To address this challenge, we present MagicCraft, a system that generates functional 3D objects from natural language prompts for metaverse platforms. …”
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The Role of Next-Generation Sequencing (NGS) in the Relationship between the Intestinal Microbiome and Periprosthetic Joint Infections: A Perspective by Salvatore Gioitta Iachino, Federica Scaggiante, Claudia Mazzarisi, Christian Schaller

“…In addition, the gut microbiome may harbor antibiotic-resistance genes; during antibiotic treatment for other infections or prophylaxis, these genes may be transferred to pathogenic bacteria, making the treatment of PJI more difficult. In this complex landscape, next-generation sequencing (NGS) technology can play a key role; indeed, it has revolutionized the study of the microbiome, allowing for detailed and comprehensive analysis of microbial communities. …”
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A Model-Driven Approach Employing DSL and Generation Templates to Accelerate the Development of Conversational Agents for Smart Tourism by Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek, Abdeslam Jakimi, Rachid Saadane

“…Conversational agents are intelligent, ubiquitous software applications widely used across various sectors, such as commerce, tourism, and more. Their key benefits include automating tasks, improving customer service, and ensuring service availability. …”
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