Sustainable transformation of cotton stalk waste as a biochar-based copper-silicon composite for chromium (VI) detoxification by Sana Shakil, Salah Ud Din, Khawaja Ansar Yasin, Muhammad Sheraz Ahmad, Muhammad Imran, Abdurahman Hajinur Hirad, Jamoliddin Razzokov, Sirajul Haq

“…This study investigates the adsorption efficiency of a biochar composite derived from cotton stalks with copper and silicon (CSB-Si-Cu) for chromium (VI) removal from water. Characterization techniques, including XRD, FTIR, EDX, SEM, TEM, XPS, and PZC analysis, confirmed the material's structural and chemical properties. …”
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Comparative diagnostic performance of VI-RADS based on biparametric and multiparametric MRI in predicting muscle invasion in bladder cancer by Peikun Liu, Lingkai Cai, Linjing Jiang, Haonan Chen, Qiang Cao, Kexin Bai, Rongjie Bai, Qikai Wu, Xiao Yang, Qiang Lu

“…Abstract Background Vesical Imaging-Reporting and Data System (VI-RADS) based on multiparametric magnetic resonance imaging (mp-MRI) performed well in diagnosing muscle-invasive bladder cancer (MIBC). …”
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Magnetite Functionalized Nigella Sativa Seeds for the Uptake of Chromium(VI) and Lead(II) Ions from Synthetic Wastewater by Patience Mapule Thabede, Ntaote David Shooto, Thokozani Xaba, Eliazer Bobby Naidoo

“…The influence of operational conditions such as initial concentration, temperature, pH, and contact time was determined in batch adsorption system. The kinetic data of Cr(VI) and Pb(II) ions on both adsorbents was described by pseudo-first-order (PFO) model which suggested physisorption process. …”
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Multi-environment trials data analysis: linear mixed model-based approaches using spatial and factor analytic models by Tarekegn Argaw, Berhanu Amsalu Fenta, Habtemariam Zegeye, Girum Azmach, Assefa Funga

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MDFT-GAN: A Multi-Domain Feature Transformer GAN for Bearing Fault Diagnosis Under Limited and Imbalanced Data Conditions by Chenxi Guo, Vyacheslav V. Potekhin, Peng Li, Elena A. Kovalchuk, Jing Lian

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Increased risk of chronic diseases and multimorbidity in middle-aged and elderly individuals with early vision, hearing, or dual sensory impairments: insights from prospective coho... by Yaoling Wang, Fang Cheng, Niuniu Hou, Yuting Tan, Shaomin Zhang, Yanbing Hou, Wen Guo, Jin Peng, Wei Li, Jinhui Wu

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How to design an art-science program? Self-reported benefits for artists and scientists in the VI4 artist-in-residence program. by Skylar Cuevas, Qi Kathy Liu, Helen Qian, Max E Joffe, Karisa Calvitti, Megan Schladt, Eric P Skaar, Kendra H Oliver

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Adsorption of Cr(VI) from aqueous solution by adsorbent prepared from paper mill sludge: Kinetics and thermodynamics studies by Fatemeh Gorzin, MM Bahri Rasht Abadi

“…Analysis of equilibrium adsorption data in terms of several isotherm models revealed that Langmuir isotherm with respect to Freundlich isotherm indicates better agreement with the experimental data. …”
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ANALISIS KESIAPAN SISWA KELAS VI MENGGUNAKAN ALAT EVALUASI BERBASIS DIGITAL (KAHOOT) DI SDN 2 SIANGAN by A.A Istri Mahayoni Citrayanti, Putu Beny Pradnyana

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Removal of Chromium(VI) Ions from Aqueous Solutions and Industrial Effluents Using Magnetic FeO Nano-particles by K.M. Meera Sheriffa Begum, N. Anantharaman

“…The thermodynamic parameters for the adsorption process were also calculated from the experimental data. At an S/L ratio of 0.2 and under optimized conditions of pH, temperature and agitation, the removal of Cr(VI) ions from aqueous solution amounted to 85%. …”
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Using multivariate statistical analysis to study the ecological and geochemical properties of soils in Blagoveshchensk (Russia) by V.I. Radomskaya, D.V. Yusupov, L.M. Pavlova, A.G. Sergeeva, E.N. Voropaeva

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A Review of Deep Learning Techniques for Leukemia Cancer Classification Based on Blood Smear Images by Rakhmonalieva Farangis Oybek Kizi, Tagne Poupi Theodore Armand, Hee-Cheol Kim

“…Using a systematic mapping study (SMS) and systematic literature review (SLR), thirty articles published between 2019 and 2023 were analyzed to explore the advancements in deep learning techniques for leukemia diagnosis using blood smear images. The analysis reveals that state-of-the-art models, such as Convolutional Neural Networks (CNNs), transfer learning, Vision Transformers (ViTs), ensemble methods, and hybrid models, achieved excellent classification accuracies. …”
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Enhanced Deep Learning for Robust Stress Classification in Sows from Facial Images by Syed U. Yunas, Ajmal Shahbaz, Emma M. Baxter, Mark F. Hansen, Melvyn L. Smith, Lyndon N. Smith

“…A facial image dataset of sows was collected at Scotland’s Rural College (SRUC) and the images were categorized into primiparous Low-Stressed (LS) and High-Stress (HS) groups based on expert behavioural assessments and cortisol level analysis. The selected deep learning models were then trained on this enriched dataset and their performance was evaluated using cross-validation on unseen data. …”
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ViE-Take: A Vision-Driven Multi-Modal Dataset for Exploring the Emotional Landscape in Takeover Safety of Autonomous Driving by Yantong Wang, Yu Gu, Tong Quan, Jiaoyun Yang, Mianxiong Dong, Ning An, Fuji Ren

“…These models offer benefits for various downstream tasks, such as driver emotion recognition and regulation for automobile manufacturers. Initial analysis and experiments conducted on ViE-Take indicate that (a) emotions have diverse impacts on takeover performance, some of which are counterintuitive; (b) highly expressive social media clips, despite their brevity, prove effective in eliciting emotions (a foundation for emotion regulation); and (c) predicting takeover performance solely through deep learning on vision data not only is feasible but also holds great potential.…”
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Remote Monitoring by ViQtor Upon Implementation on a Surgical Department (REQUEST-Trial): Protocol for a Prospective Implementation Study by Ephrahim E Jerry, Arthur R Bouwman, Simon W Nienhuijs

“…Outcomes include the Integrated Workload Scale for nursing workload and a framework evaluating acceptability, feasibility, adoption, and sustainability. Data collection involves device performance metrics, questionnaires (the Evidence-Based Practice Attitude Scale and the System Usability Scale), and thematic analysis of focus groups. …”
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Insight into the adsorptive removal of Cr(VI) ions and 4-chlorophenol from aqueous media on cationic surfactant-modified cucumber peels by Sengul Tugba Ozeken, Duygu Ozdes, Celal Duran

“…Langmuir isotherm model fitted the data well, and the maximum Cr(VI) and 4-chlorophenol adsorption capacities of CMCP were 84.03 mg g−1 and 107.5 mg g−1, respectively. …”
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CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…Further, the features are processed via a vision transformer (ViT) network. This method enables the model to learn more complex relationships and patterns within the data, thereby improving the classification performance. …”
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Exploring Data Preparation Strategies: A Comparative Analysis of Vision Transformer and ConvNext Architectures in Breast Cancer Histopathology Classification by Kaczmarek Mikołaj, Kowal Marek, Korbicz Józef

“…This study offers a comparative analysis of two state-of-the-art deep learning architectures, Vision Transformer (ViT) and ConvNeXT for breast cancer histopathology image classification, focusing on the impact of data preparation strategies. …”
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Hot Water-Treated Cow Waste Use as an Efficient Adsorbent for Cresol Red Dye and Chromium VI Removal from Aqueous Solutions by Ali El-Rayyes, Ibrahim Arogundade, Abimbola Aina Ogundiran, Mohamed Hefnawy, Edwin Andrew Ofudje, Ali El Gamal, Lamia A. Albedair, Amnah Mohammed Alsuhaibani

“…Maximum adsorption capacity was attained at biomass dosage of 40 and 50 mg, 120 and 140 min as the time of contact, pH of 4 and 3, and temperature of 40 and 45 °C for CR and Cr (VI) adsorption. The equilibrium data from the adsorption of CR and Cr (VI) followed Langmuir and Freundlich models with maximum uptake of 73.3 and 66.4 mg/g. …”
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Quantifying dwell time with location-based augmented reality: Dynamic AOI analysis on mobile eye tracking data with vision transformer by Julien Mercier, Olivier Ertz, Erwan Bocher

“… Mobile eye tracking captures egocentric vision and is well-suited for naturalistic studies. However, its data is noisy, especially when acquired outdoor with multiple participants over several sessions. …”
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