Novel biophysical skin biomarkers discriminate topical anti‐inflammatory treatments based on their potential for local adverse effects by Simon G. Danby, Stephen Matcher, Robert Byers, Rosie Taylor, Sura Sahib, Paul Andrew, Kirsty Brown, Linda Kay, Carl Wright, Abi Pinnock, John Chittock, Mengqiu Duan, Amy Cha, Roni Adiri, Chuanbo Zang, John Werth, Michael J. Cork

“…The primary outcome was the difference in the change in epidermal thickness from days 1 to 29. …”
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Advances in Wastewater-Based Epidemiology for Pandemic Surveillance: Methodological Frameworks and Future Perspectives by Weihe Zhu, Daxi Wang, Pengsong Li, Haohao Deng, Ziqing Deng

“…Wastewater-based epidemiology (WBE) has emerged as a transformative approach for community-level health monitoring, particularly during the COVID-19 pandemic. …”
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Combining OpenStreetMap with Satellite Imagery to Enhance Cross-View Geo-Localization by Yuekun Hu, Yingfan Liu, Bin Hui

“…While recent bird’s eye view (BEV)-based methods have advanced this task by addressing viewpoint and appearance differences, the existing approaches typically rely solely on either OpenStreetMap (OSM) data or satellite imagery, limiting localization robustness due to single-modality constraints. …”
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TRZY TRANSFORMACJE W PROCEDURZE CYWILNEJ W POLSCE W XX WIEKU. WZORCE ROZWIĄZAŃ by Anna Stawarska-Rippel

“… THREE TRANSFORMATIONS OF CIVIL PROCEEDINGS IN POLAND IN THE 20TH CENTURY. …”
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Multiscale Information Fusion Based on Large Model Inspired Bacterial Detection by Zongduo Liu, Yan Huang, Jian Wang, Genji Yuan, Junjie Pang

“…Experimental results demonstrate that EagleEyeNet achieves remarkable performance improvements, with mAP50 increases of 3.1% on the QDBD dataset and 4.9% on the AGRA dataset, outperforming the State-Of-The-Art (SOTA) methods in detection accuracy. These findings underscore the transformative potential of integrating large models and deep learning for advancing bacterial detection technologies.…”
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Land use policy and green utilization efficiency in border cities: evidence from northeastern China’s carbon reduction practice by Xuncheng Fan, Lili Zhao

“…Energy intensity (−6452.09, p < 0.05) and industrial structure (−4664.92, p < 0.01) are key inhibiting factors. Different types of cities present differentiated policy responses.DiscussionIndustrial cities promote technological upgrades through digital transformation. …”
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Impact coal internal block size effect on physical and mechanical parameters’ similarity criteria validity: Numerical simulation and adjustment by Zihao Kan, Linming Dou, Wu Cai, Jinrong Cao, Xiaotao Ma

“…This paper attempts to fill this gap by combining the equation transformation method with similarity theory to conduct an in-depth study on the similarity criteria of physical parameters of impact coal with various internal block sizes. …”
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Current Directions of Selected Plant-Origin Wastes’ Valorization in Biotechnology of Food Additives and Other Important Chemicals by Dominika Popielarz, Pavol Farkaš, Anna Bzducha-Wróbel

“…As industrial production continues to grow, the volume of waste generated by humanity is rising, leading to a heightened need to search for effective waste management and recycling methods. One promising approach is the concept of a circular economy, where industrial waste, including agricultural and food processing waste, is transformed into new products. …”
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Progress in the Surface Protection Technology of Aerospace Ultra-High Strength Steel by YANG Cheng, YE Bing, MA Yue, ZHANG Maoda, AN Mingdong, GAO Qiang, ZHOU Fei

“…Ultra-high strength steel has both high strength and high toughness，making it an important load-bearing component in the aerospace industry， and thus it has a wide range of applications in aircraft landing gear， main beams， transmission components， load-bearing bolts， and other fields.Due to its frequent exposure to marine atmospheric environments during use， corrosion is quite severe.Through surface protection，the corrosion resistance， wear resistance and other properties of ultra-high-strength steel could be improved，which further extended the service life of the relevant parts.Herein， for the current commonly used several surface protection technologies (thermal spraying， vacuum plating，electroplating， chemical plating， surface tissue transformation， laser cladding， ion implantation， etc.)， this paper reviewed the impact of these surface protection methods on different ultra-high strength steels in terms of abrasion，corrosion resistance，hydrogen embrittlement，fatigue and other aspects.Besides， the advantages and disadvantages of these methods were analyzed， and the prospects were made for its future development direction.…”
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Real-Time Detection of Meningiomas by Image Segmentation: A Very Deep Transfer Learning Convolutional Neural Network Approach by Debasmita Das, Chayna Sarkar, Biswadeep Das

“…Still, there is a dearth of studies being carried out in this area. Methods: Therefore, starting with the analysis of magnetic resonance images, we have suggested in this research work a tried-and-tested and methodical strategy for real-time meningioma diagnosis by image segmentation using a very deep transfer learning CNN model or DNN model (VGG-16) with CUDA. …”
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A Handheld Multispectral Device for Assessing Leaf Nitrogen Concentrations in Maize by Felipe Hermínio Meireles Nogueira, Adunias dos Santos Teixeira, Sharon Gomes Ribeiro, Luís Clênio Jario Moreira, Odílio Coimbra da Rocha Neto, Fernando Bezerra Lopes, Ricardo Emílio Ferreira Quevedo Nogueira

“…After the optical measurements were taken, the nitrogen concentrations in the leaves were determined in a laboratory by using the Kjeldahl method. The data analysis included the calculation of normalised ratio indices (NRIs) using linear regression and the application of multivariate statistical methods (PLSR and PCR) for predicting leaf nitrogen concentrations (LNCs). …”
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Path tracking control of autonomous vehicle under the measurement disturbance via a novel robust model free adaptive control algorithm by Shida Liu, Guang Lin, Honghai Ji, Li Wang

“…First, the preview-deviation-yaw angle based tracking method is proposed, which transforms the path tracking problem into the preview-deviation-yaw angle control problem. …”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…Microbiome research, the study of microbial communities in diverse environments, has seen significant advances due to the integration of deep learning (DL) methods. These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. …”
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Study of myelodysplastic features in patients with myelodysplastic syndromes by multicolor flow cytometry by O. Yu. Davydova, I. V. Galtseva, E. N. Parovichnikova, A. V. Kokhno, N. M. Kapranov, V. V. Troitskaya, E. A. Mikhailova, Z. T. Fidarova, T. N. Moiseeva, L. A. Kuzmina, E. A. Lukina, T. N. Obukhova, L. A. Grebenyuk, A. M. Kovrigina, V. N. Dvirnyk, V. G. Savchenko

“…Thus, cytometric abnormalities in MDS are common, even in patients without excess of blasts. The MFC method can be used as an additional diagnostic method in the initial diagnosis of MDS.…”
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China’s energy economic efficiency evaluation based on novel dynamic network DEA by Wenchao Pan, Tsung-Xian Lin, Huiqian Long, Renwen Zhang, Hui Li, Huizhen Jin

“…Hence, this paper adopts the novel dynamic network Data Envelopment Analysis (DEA) method to evaluate and study China’s energy economic efficiency using panel data from 2015 to 2022. …”
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Thermal diffusion and thermal radiation on MHD flow of Casson over an exponentially permeable stretching surface with chemical reaction: A numerical solution by B.Saidi Reddy, S.Hari Singh Naik, B. Shankar Goud

“…Using similarity analysis, the basic model equations have been converted into nonlinear, dimensionless ordinary differential equations that, with the aid of suitable transformations, describe the flow of the fluid. The MATLAB built-in method bvp4c is used to get an accurate result. …”
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Deep Learning-Based Classification of Macrofungi: Comparative Analysis of Advanced Models for Accurate Fungi Identification by Sifa Ozsari, Eda Kumru, Fatih Ekinci, Ilgaz Akata, Mehmet Serdar Guzel, Koray Acici, Eray Ozcan, Tunc Asuroglu

“…The research employed 5 different machine learning techniques and 12 deep learning models, including DenseNet121, MobileNetV2, ConvNeXt, EfficientNet, and swin transformers, to evaluate their performance in identifying fungi from images. …”
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Emerging Development of Wireless Localization Technologies Aided with Reconfigurable Intelligent Surfaces: A Comprehensive Survey by Abdulrhman Kh. Alhafid, Y. E. Mohammed Ali, Sedki Younis

“…It addition the challenges posed by conventional localization methods are discussed, including accuracy and coverage issues. …”
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Detection of the Pin Defects of Power Transmission Lines Based on Improved TPH-MobileNetv3 by Mengxuan Li, Jingshan Han, Zhi Yang, Bin Zhao, Peng Liu

“…In response to the large size, complex background, and on-site requirements, such as real-time detection, of power transmission lines, this paper proposes a method to detect pin defects based on TPH-MobileNetv3 (Transformer prediction Head Mobilenetv3). …”
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Exploring University Students’ Adoption of ChatGPT Using the Diffusion of Innovation Theory and Sentiment Analysis With Gender Dimension by Raghu Raman, Santanu Mandal, Payel Das, Tavleen Kaur, J. P. Sanjanasri, Prema Nedungadi

“…This study explores the adoption and societal implications of an emerging technology such as Chat Generative Pre-Trained Transformer (ChatGPT) in higher education students. …”
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