Geochemical Influences on Carbon Nanotubes Transport in Subsurface Environments: Integrating Millifluidics, Spectral Induced Polarization, and Machine Learning by Yixin Yang, Pengfei Liu, Kexin Chen, Sheng Zhou, Longlong Meng, Chi Zhang, Junnan Cao, Bate Bate

“…Surface coatings (e.g., montmorillonite, MMT) and divalent cations modulate retention by electrostatic repulsion and pore‐throat constriction, with CNT concentration governing transport efficiency. The hierarchy of controlling factors: CNT concentration > surface properties > cation valence > ionic strength (IS), provides a predictive framework for nanoparticle fate in subsurface environments. …”
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Automated Arrhythmia Classification System: Proof-of-Concept With Lightweight Model on an Ultra-Edge Device by Namho Kim, Seongjae Lee, Seungmin Kim, Sung-Min Park

“…The efficiency of the lightweight model and edge-computing system was evaluated regarding arrhythmia classification performance and computational complexity. …”
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ON INCREASING ENERGY SECURITY OF BELARUS by S. N. Osipov

“…Therefore, in the energy sector energy efficiency should be increased through the use of its own energy resources. …”
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Explainable Aspect-Based Sentiment Analysis Using Transformer Models by Isidoros Perikos, Athanasios Diamantopoulos

“…These datasets consist of over 16,100 complex sentences, each containing a couple of aspects and corresponding polarities. …”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…A recent innovation, the mobile mapping system (MMS), is a versatile tool used to collect geospatial data efficiently, accurately, and quickly, with reduced time and costs compared to traditional survey methods. …”
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Comparison of NeRF- and SfM-Based Methods for Point Cloud Reconstruction for Small-Sized Archaeological Artifacts by Miguel Ángel Maté-González, Roy Yali, Jesús Rodríguez-Hernández, Enrique González-González, Julián Aguirre de Mata

“…The research targets artifacts smaller than 5 cm, characterized by complex geometries and reflective surfaces that pose challenges for conventional recording methods. …”
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Correlation between Iliac Tilt and traditional sagittal parameters in adolescents by ZengHui Zhao, Hao Qi, Anqi Zhao, Hongru Yuan, Peng Zhang, Chenchen Wang, Chenxi Wang, Di Zhang

“…Compared to traditional parameters, IT offers a simpler measurement process, making it suitable for complex cases with limited imaging quality. It provides an efficient evaluation tool for clinical and research applications.…”
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A YOLO11-Based Method for Segmenting Secondary Phases in Cu-Fe Alloy Microstructures by Qingxiu Jing, Ruiyang Wu, Zhicong Zhang, Yong Li, Qiqi Chang, Weihui Liu, Xiaodong Huang

“…To address the issues of subjectivity, low efficiency, and limited quantitative capability in traditional metallographic analysis methods, this paper proposes a deep learning-based approach for segmenting the second phase in Cu-Fe alloys. …”
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Deep fusion approach: Combining hyperspectral imaging and ground penetrating radar for accurate cornfield soil moisture mapping by Milad Vahidi, Sanaz Shafian, William Hunter Frame

“…Precise estimation of soil moisture is critical for refining irrigation strategies, improving crop production, and ensuring efficient management of water supplies. This study employs a time-series L-pika hyperspectral sensor, covering the spectral range of 400–1100 nm, and an air-launched Zond Aero 500 GPR sensor, capturing data across various corn growth stages. …”
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A deep neural network model with spectral correlation function for electrocardiogram classification and diagnosis of atrial fibrillation by Sara Mihandoost

“…The obtained results demonstrate that the proposed approach efficiently represents ECG signals through SCF coefficients, leading to the accurate detection of AF with an average accuracy of 92.76% and an average F1-score of 89.1%.…”
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Pre-mRNA processing factors differentially impact coordination between co-transcriptional cleavage and transcription termination by Xianhao Jin, Juzuo Li, Wenqin Lu, Xian Deng, Yanping Wei, Yi Shu, Bo Liu, Zhijian Liu, Yanping Long, Xinlong Zhu, Qili Fei, Yiji Xia, Qingshun Q. Li, Scott D. Michaels, Xiaofeng Cao, Michael Lenhard, Jixian Zhai

“…Our results reveal diverse roles for these processing factors in coordinating cleavage and termination: core components of CPSF and CstF complex stimulate both cleavage and termination, facilitating access to exoribonuclease AtXRN3; mutations in nuclear poly(A) polymerase PAPS1 and AtXRN3 caused delayed termination with minimal effects on cleavage, suggesting their roles are further downstream; BORDER proteins facilitate termination while simultaneously inhibiting cleavage, suggesting a complex interplay between these two actions; the phosphatase SSU72 specifically promotes efficient termination without affecting cleavage. …”
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Insights and Recommendations for the Assessment and Design of Fault Diagnosis Methods Applied to Modern Distribution Systems by Talita M. O. A. Cunha, Gabriela N. Lopes, Leonardo S. Lessa, Moises J. B. B. Davi, Mario Oleskovicz, Jose C. M. Vieira

“…The growing integration of Distributed Generation (DG) and the complexity of modern distribution networks present new challenges in fault diagnosis. …”
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Ontogeny of Fetal Cardiometabolic Pathways: The Potential Role of Cortisol and Thyroid Hormones in Driving the Transition from Preterm to Near-Term Heart Development in Sheep by Reza Amanollahi, Stacey L. Holman, Melanie R. Bertossa, Ashley S. Meakin, Kent L. Thornburg, I. Caroline McMillen, Michael D. Wiese, Mitchell C. Lock, Janna L. Morrison

“…The increased expression of proteins regulating mitochondrial biogenesis and OXPHOS complex 4 reflects the known transition from glycolysis to oxidative phosphorylation, essential for meeting the energy demands of the postnatal heart. …”
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HARMFUL CONDITIONS ON THE DENTAL STATUS OF POULTRY FARM WORKERS by T. Pupin, O. Kardashevska

“…In addition, the total amount of dust in poultry buildings depends on the capacity and efficiency of ventilation as well as of the type of equipment. …”
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Early prediction of CKD from time series data using adaptive PSO optimized echo state networks by Thangadurai Anbazhagan, Balamurugan Rangaswamy

“…Presently, existing methods that effectively detect CKD cannot detect symptoms early on. This problem motivates researchers to work on a predictive model that successfully detects disease symptoms in the early stages. …”
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Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

“…Quantization enables complex predictive models to run on low-cost, energy-efficient devices, thereby democratizing advanced prediction technologies for critical applications like solar energy generation. …”
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Features of organizational and technological solutions for the construction and installation of large-span buildings by Tatyana K. Kuzmina, Anton N. Bolshakov, Nadezhda A. Lukyanova, Anastasija V. Puzikova

“…They allow to convey architectural expression of large span buildings and to ensure high efficiency and minimal weight of structures. Systems with cross arranged cables and arch cable-stayed combined solutions, including "tensegrity" structures, are of particular interest nowadays. …”
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World Café approach: exploring the future vision of oral anticoagulants for patients with atrial fibrillation (AF) in Ireland by Colin Bradley, Stephen McCarthy, Aileen Murphy, Stephen Brosnan, Paidi O’Raghallaigh, Ann Kirby

“…While consensus for developing evidence-based pathways to maximise efficiency and effectiveness of AF treatment was evident, it would require a shared vision between stakeholders of integrated care. …”
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Deep Learning-Based Fault Diagnosis via Multisensor-Aware Data for Incipient Inter-Turn Short Circuits (ITSC) in Wind Turbine Generators by Qinglong Wang, Shihao Cui, Entuo Li, Jianhua Du, Na Li, Jie Sun

“…These faults can cause fluctuations in the output voltage, frequency, and power of wind turbines, eventually leading to overheating, equipment damage, and rising maintenance costs if not detected early. Although significant progress has been made in condition monitoring, the current methods still fall short of the robustness required for early fault diagnosis in complex operational settings. …”
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Modulation of fibroblast behavior by Leishmania: a pathway to understanding disease progression in cutaneous leishmaniasis by Tarcisio Navegante de Queiroz Filho, Brenda Furtado Costa, Ana Paula Drummond Rodrigues

“…Interestingly, both the promastigote and amastigote forms of the parasite have also been detected in fibroblasts, revealing the complex interactions during the infection. …”
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