Development of a fluorophilic ion-exchange material with dual binding mechanism for solid-phase extraction of PFAS by Johanna Freilinger, Jan O. Back, Raphael Plangger, Herwig Schottenberger, Christian W. Huck, Marco Rupprich, Rania Bakry

“…This has created challenges in PFAS detection, leading to an urgent need for reliable and selective solid-phase extraction (SPE) materials for PFAS analysis. …”
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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

“…The method is built upon the YOLO11 framework and incorporates a series of structural enhancements tailored to the characteristics of the secondary-phase microstructure, aiming to improve the model’s detection accuracy and segmentation performance. Specifically, the EIEM module enhances the C3K2 structure to improve edge perception; the CSPSA module is optimized into C2CGA to strengthen multi-scale feature representation; and the RepGFPN and DySample techniques are integrated to construct the GDFPN neck network. …”
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Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations by Xiaozhi Lu, Farag M. A. Altalbawy, Tarak Vora, R. Manjunatha, Debasish Shit, Shirin Shomurotova, Akshay Kumar, Atreyi Pramanik, Ajay Sharma, Raed H. C. Alfilh, Samim Sherzod, Mohammad Mahtab Alam

“…The dataset consists of 949 field records from Middle Eastern drilling sites, incorporating variables such as borehole diameter, drilling fluid viscosity, mud weight, solid content, and pressure differential. Initial data analysis included statistical evaluation, outlier detection using leverage diagnostics, and data normalization to ensure validity and consistency. …”
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RNAcare: integrating clinical data with transcriptomic evidence using rheumatoid arthritis as a case study by Mingcan Tang, William Haese-Hill, Fraser Morton, Carl Goodyear, Duncan Porter, Stefan Siebert, Thomas D. Otto

“…This enables researchers to directly integrate gene expression data with clinical features, perform exploratory data analysis, and identify patterns among patients with similar diseases. …”
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Characterization of small nucleolar RNA retaining transcripts in human normal and cancer cells by Guglielmo Rambaldelli, Sidra Asghar, Giulia Venturi, Federico Zacchini, Margherita Serra, Catia Giovannini, Laura Gramantieri, Marco Bernini, Alberto Inga, Erik Dassi, Lorenzo Montanaro

“…Considering that short reads and gene-based transcriptomic analysis completely overlooked these transcripts, potentially missing critical insights into their involvement in cancer and other diseases, our results strongly indicate that these type of transcripts should be further investigated in different contexts to better understand their biogenesis, sequence features, presence, and role within cells.…”
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Surface morphology, electronic defects and passivation strategies at the p–n junction of Cu(In,Ga)(S,Se)2 solar cells by Amala Elizabeth, Andreas May, Finnegan Volkamer, Florian Giesl, Hossam Elanzeery, Thomas Dalibor, Daniel Abou-Ras, Harry Mönig

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Identifying subgroup of severe community-acquired pneumonia based on clinical metagenomics, a multicenter retrospective cohort study by Mingqiang Wang, Mingqiang Wang, Yue Jin, Yue Jin, Wenxiao Zhang, Wenxiao Zhang, Ling Ye, Ling Ye, Huanzhang Shao, Huanzhang Shao

“…In class A, more cases of Streptococcus spp. and fewer cases of HSV-1 and Candida spp. were detected. Among the patients in the two phenotypes, 48.7% and 57.5% received corticosteroid treatment, respectively. …”
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Selective Intensity Ensemble Classifier (SIEC): A Triple-Threshold Strategy for Microscopic Malaria Cell Image Classification by Abdulaziz Anorboev, Sarvinoz Anorboeva, Javokhir Musaev, Esanbay Usmanov, Dosam Hwang, Yeong-Seok Seo, Jeongkyu Hong

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Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data by Yuyang Yan, Wafaa Aljbawi, Sami O. Simons, Visara Urovi

“…Aim: COVID-19 has affected more than 223 countries worldwide and in the post-COVID era, there is a pressing need for non-invasive, low-cost, and highly scalable solutions to detect COVID-19. This study focuses on the analysis of voice features and machine learning models in the automatic detection of COVID-19. …”
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Stemming the Tide of Fake News about the COVID-19 Pandemic by Chih-yuan Li, Soon Chun, James Geller

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De Novo Assembly of the Polyhydroxybutyrate (PHB) Producer <i>Azohydromonas lata</i> Strain H1 Genome and Genomic Analysis of PHB Production Machinery by Daniele Traversa, Carlo Pazzani, Pietro D’Addabbo, Lucia Trisolini, Matteo Chiara, Marta Oliva, Angelo Marzella, Camilla Mandorino, Carla Calia, Guglielmina Chimienti, Caterina Manzari, Graziano Pesole, Maria Scrascia

“…In addition to the <i>phaCAB</i> operon, single genes ascribable to PhaC and PhaA functions and auxiliary genes were also detected. A comparative genomic analysis of the available genomes of the genus <i>Azohydromonas</i> revealed the presence of <i>phaCAB</i> and auxiliary genes in all <i>Azohydromonas</i> species investigated, suggesting that the PHB production is a common feature of the genus. …”
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Genome-wide analysis of CHYR gene family and BnA03.CHYR.1 functional verification under salt stress in Brassica napus L. by Yanli Guo, Qingxiao Ren, Manman Song, Xiangxiang Zhang, Heping Wan, Fei Liu

“…In contrast to the seven CHYR genes (AtCHYR1-AtCHYR7) identified in Arabidopsis thaliana, nine CHYR orthologues were detected in B. rapa and B. oleracea, while 24 were found in B. napus. …”
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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Umkalthoom Alzubaidi

“…Emotion detection is a subdivision of SA as it forecasts the novel emotion instead of only maintaining negative, positive, or neutral. …”
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UHPLC-MS/MS-based untargeted metabolite profiling of Lyme neuroborreliosis by Ilari Kuukkanen, Annukka Pietikäinen, Tiia Rissanen, Saija Hurme, Elisa Kortela, Mari J. Kanerva, Jarmo Oksi, Jukka Hytönen, Maarit Karonen

“…The analysis revealed 26,978 molecular features (MFs), of which 1,746 were statistically significant (p < 0.001). …”
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Evaluation of Machine Learning Models for Stress Symptom Classification of Cucumber Seedlings Grown in a Controlled Environment by Kyu-Ho Lee, Samsuzzaman, Md Nasim Reza, Sumaiya Islam, Shahriar Ahmed, Yeon Jin Cho, Dong Hee Noh, Sun-Ok Chung

“…A cost-effective RGB camera, integrated with a microcontroller, captured images from the top of the seedlings over a two-week period, from which sequential forward floating selection (SFFS) and correlation matrices were used to streamline feature extraction. Four ML classifiers: Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naïve Bayes (NB), and Random Forest (RF), were trained to detect stress symptoms based on selected features, highlighting that stress symptoms were detectable after day 4. …”
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Spectrum of VHL mutations in clear cell renal cell carcinoma by N. N. Mazurenko, I. V. Tsyganova, V. V. Strelnikov, A. V. Balbutsky, T. F. Malivanova, E. B. Kuznetsova, V. A. Draudin-Krilenko, O. V. Shangina, A. F. Mukeria, V. B. Matveev, D. G. Zaridze

“…The VHL gene alterations are the early and characteristic feature of clear cell renal cell carcinoma (ccRCC). …”
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Design and implementation algorithm of safe driver assistant system based on EOG by Zhao LYU, Xiao-pei WU, Chao ZHANG, Bing WEI

“…Furthermore, independent component analysis (ICA) algorithm was used to extract spatial feature parameters of activity-detected EOG signals, and combined with support vector machine (SVM) method to recognize the type of saccade signals, such as up-rolling, left-rolling and right-rolling. …”
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Electronic Nose System Based on Metal Oxide Semiconductor Sensors for the Analysis of Volatile Organic Compounds in Exhaled Breath for the Discrimination of Liver Cirrhosis Patient... by Makhtar War, Benachir Bouchikhi, Omar Zaim, Naoual Lagdali, Fatima Zohra Ajana, Nezha El Bari

“…The early detection of liver cirrhosis (LC) is crucial due to its high morbidity and mortality in advanced stages. …”
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A dual-image encryption scheme for sensitive region of traffic image using public key cryptosystem and novel chaotic map by Tingyu An, Tao Gao, Ting Chen, Donghua Jiang

“…Abstract Intelligent transport systems (ITS) extensively employ traffic images for traffic flow analysis, accident detection and other tasks. However, these images contain sensitive privacy information, including license plates and facial features of drivers, which form sensitive regions (SRs) that are vulnerable to unauthorized exposure. …”
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Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction by Ritesh Dash, Anupa Sinha, Abinash Mahapatro, Bhabasis Mohapatra, Binod Kumar Sahu

“…The proposed model addresses the limitations of conventional method such as SVR, SARIMA and LSTM by integrating polynomial interaction terms with L2 regularization to balance model complexity and generalization. A total of 12 features including operational variables and nonlinear combinations are pre-processed using outlier detection normalization and interpolation techniques. …”
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