Wheels turning: CHO cell modeling moves into a digital biomanufacturing era by Sandeep Ranpura, Vishwanathgouda Maralingannavar, Alexandra-Gabriela Gheorghe, Edward Ma, James Morrissey, Michael J. Betenbaugh, Deniz Demirhan

“…Recent advancements in biologics production using CHO cells have been partly driven by improved understanding of how variations in the cell culture environment influence cellular metabolism, productivity, and the attributes of the final product. …”
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A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing by Muhammad Asif, Mohammad Abrar, Faizan Ullah, Abdu Salam, Farhan Amin, Isabel de la Torre, Mónica Gracia Villar, Helena Garay, Gyu Sang Choi

“…Abstract Object detection in remote sensing imagery presents challenges due to low resolution, complex backgrounds, occlusions, and scale variations, which are critical in disaster response, environmental monitoring, and surveillance. …”
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Objective sleep quality in diverse older adults: a cross-sectional study on the importance of race and ethnicity and sex by Clémence Cavaillès, Katie L. Stone, Yue Leng, Carrie Peltz, Kristine Yaffe

“…We aimed to examine differences in objective sleep measures by race and ethnicity, sex, and age within a diverse cohort of community-dwelling older adults. Methods We analyzed cross-sectional data from 838 participants aged ≥ 50 years in the Dormir Study (2020–2024). …”
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Accurate Rainfall Prediction Using GNSS PWV Based on Pre-Trained Transformer Model by Wenjie Yin, Chen Zhou, Yuan Tian, Hui Qiu, Wei Zhang, Hua Chen, Pan Liu, Qile Zhao, Jian Kong, Yibin Yao

“…The proposed model employs the ProbSparse self-attention to efficiently capture long-range dependencies in time series data, crucial for correlating historical PWV variations with rainfall events. …”
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A new opportunity for biomass-derived carbon in highly stable Li-O2 battery: A review by Guanjun Liu, Shaojie Qin, Xiping Zhang, Dan You, Yanjia Zhang, Xiaoyuan Zeng, Yiyong Zhang, Ziyi Zhu, Yingjie Zhang, Xue Li

“…It introduces cross-scale characterization methods to analyze the properties of the carbon materials and explores the theoretical underpinnings of functional atom doping as a means to enhance electrochemical performance. …”
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Automated activity-based costing for large tractor fleets: A scalable CANBUS framework for farm economics by Massimiliano Varani, Giovanni Molari, Gianvito Annesi, Michele Mattetti

“…Accurate cost estimation of machinery operations is particularly critical in large-scale farming, where machinery represents a substantial portion of operational expenses. Traditional costing methods often rely on assumptions, leading to inefficiencies. …”
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EXECUTIVE-LEGISLATIVE RELATIONS AND LEGISLATIVE EFFECTIVENESS OF NIGERIA’S NATIONAL ASSEMBLY, 2015-2023 by JAMES LINGA JOSEPH

“…Through a comprehensive analysis of legislative activities, legislative outputs, and interactions between the executive and legislative arms, this research investigates how the nature of this relationship influenced the effectiveness of the legislative process during the specified time frame. Utilizing a mixed-methods approach, including qualitative analysis of legislative records, policy documents, and interviews with key stakeholders, complemented by quantitative data analysis, this study explores the extent to which executive-legislative dynamics affected legislative productivity, policymaking efficiency, and the overall performance of the National Assembly. …”
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A Joint Forgetting Factor-Based Adaptive Extended Kalman Filtering Approach to Predict the State-of-Charge and Model Parameter of Lithium-Ion Battery by Satyaprakash Rout, Satyajit Das

“…Results from diverse dynamic operating conditions confirm the superior performance of the JFFAEKF in SOC estimation compared to existing methods.…”
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Pedological characterization of soils under tobacco cultivation: insights from Sikonge, Uyui and Tabora districts in Tabora Region, Tanzania by Dotto Simon Mwalembe, Boniface H. J. Massawe, Eliakira Kisetu Nassary

“…Tailored soil management is crucial to improve production efficiency.…”
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Response Time and Influencing Factors Among Emergency Nurses in Indonesian Hospital: A Scoping Review of Current Evidence by Ramdani D, Kosasih CE, Emaliyawati E

“…The included studies focused on empirical measurements of response times, defined as the time from patient arrival to initial treatment, with a particular interest in examining variations across different hospital levels and regions within Indonesia. …”
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Improved YOLO-Based Pulmonary Nodule Detection with Spatial-SE Attention and an Aspect Ratio Penalty by Xinhang Song, Haoran Xie, Tianding Gao, Nuo Cheng, Jianping Gou

“…Comprehensive experiments conducted on the LUNA16, LungCT, and Node21 datasets reveal that our approach achieves superior precision, recall, and mean average precision (mAP) across various IoU thresholds, surpassing previous state-of-the-art methods while maintaining computational efficiency. …”
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Modeling Greenhouse Gas Emissions in a Full-Scale Activated Sludge Unit Based on Benchmark Simulation Model – A Case Study of Isfahan Wastewater Treatment Plant by Hamidreza Shiran, Gholamreza Nabi Bidhendi, Nasser Mehrdadi

“…The refined model was utilized in a case study at the Isfahan Wastewater Treatment Plant (WWTP) in Iran to assess various operational strategies and explore potential challenges related to emission management.Results: The simulation results, based on the model’s structural assumptions, indicate a negative impact on greenhouse gas (GHG) emissions associated with regional energy upgrades in the ventilation system and activated sludge sector. For example, variations in the biogenic and non-biogenic CO2​ proportions were observed when the total suspended solids (TSS) removal efficiency was altered, decreasing or increasing to 30/70 and 20/80, respectively. …”
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Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models by Reem Jalloul, Chethan Hasigala Krishnappa, Victor Ikechukwu Agughasi, Ramez Alkhatib

“…Early detection is crucial, particularly for younger women, as traditional screening methods like mammography often struggle with accuracy in cases of dense breast tissue. …”
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Modeling Tick Populations: An Ecological Test Case for Gradient Boosted Trees by Manley, William, Tran, Tam, Prusinski, Melissa, Brisson, Dustin

“…Analyses of the rapidly expanding cache of environmental and ecological data, however, require advanced statistical methods to contend with complexities inherent to extremely large natural data sets. …”
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DEPANet: A Differentiable Edge-Guided Pyramid Aggregation Network for Strip Steel Surface Defect Segmentation by Yange Sun, Siyu Geng, Chengyi Zheng, Chenglong Xu, Huaping Guo, Yan Feng

“…The steel strip is an important and ideal material for the automotive and aerospace industries due to its superior machinability, cost efficiency, and flexibility. However, surface defects such as inclusions, spots, and scratches can significantly impact product performance and durability. …”
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RootTracer: An intuitive solution for root image annotation by Maichol Dadi, Annalisa Franco, Giuseppe Sangiorgi, Silvio Salvi, Alessandra Lumini

“…Analyzing root growth quantitatively is increasingly vital for evaluating a plant's resilience to abiotic stresses and its efficiency in nutrient and water absorption. However, extracting features from root images poses significant challenges due to the complexity of root structures, variations in size, background noise, occlusions, clutter, and inconsistent lighting conditions. …”
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Developing the Digital Health Communication Maturity Model: Systematic Review by Grace Jeonghyun Kim, Kang Namkoong

“…Quantitative analysis showed substantial variations in communication metrics, with satisfaction metrics incorporated at an average rate of 22% (7/31) across the reviewed models. …”
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Enhancing vehicle performance through the application of airfoils as spoilers with movable trailing edge [version 2; peer review: 2 approved] by Husein Amro, Majdi Zalloum, Mohammad Abu Sirreya, Ahmad Karaki

“…During acceleration phases, the controlled generation of positive lift improved aerodynamic efficiency, yielding a total lift increase of up to 15%. …”
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Image Processing for Tooth Type Classification using Deep Learning by Mahmut Emin Çelik, Mehmet Zahid Genç, Ertuğrul Furkan Savaştaer, Fikret Ulus, Berrin Çelik

“…This paper aims to investigate the effect of image processing techniques on classification performance of teeth using deep learning. 4 classes - Incisor, Canine, Premolar, Molar- from panoramic radiographs are prepared. Methods: The state-of-the-art 6 deep learning classification models -Xception, GoogleNet, ResNet18, ShuffleNet, MobileNetV2, ResNext50- was implemented with transfer learning for model efficiency. …”
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Research on fault monitoring of belt conveyor based on FBG sensor by Xinqiu FANG, Yang WU, Yang SONG, Ningning CHEN, Yulong FENG, Haotian FENG, Dexing HE, Fukang QIAO

“…The fault monitoring of belt conveyors serves as a pivotal tool in preventing safety incidents, enhancing production efficiency, and facilitating the intelligent operation of equipment. …”
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