Liquid Chromatography-Tandem Mass Spectrometry Detection of Human and Veterinary Drugs and Pesticides in Surface Water by Xiang-Pu Zhang, Shu Zhang, Chun-Yan Xu, Wei-Wei Li, Hai-Bo Ling, Yang Luo, Kang Jian, Tao Li, Chuan Yi

“…A powerful tool for quickly and efficiently screening for contaminants in surface water has been presented.…”
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Tackling environmental radionuclides contamination: A systematic review of chemical, biological, and physical remediation strategies by Rania Edrees Adam Mohammad, S. Veerasingam, G. Suresh, S. Rajendran, Kishor Kumar Sadasivuni, Saud Ghani, Fatima Al-Khayat

“…., phytoremediation and microbial consortia). Quantitative analysis highlights that chemical methods, particularly those involving metal-organic frameworks (MOFs) and engineered clays, exhibit high removal efficiencies for isotopes like 137Cs, 90Sr, and 241Am, while biological approaches offer sustainability and in situ applicability, especially for uranium and technetium remediation. …”
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An Explainable Multi-Model Stacked Classifier Approach for Predicting Hepatitis C Drug Candidates by Teuku Rizky Noviandy, Aga Maulana, Ghifari Maulana Idroes, Rivansyah Suhendra, Razief Perucha Fauzie Afidh, Rinaldi Idroes

“…Traditional high-throughput screening (HTS) methods are costly, time-consuming, and prone to false positives, underscoring the necessity for more efficient alternatives. Machine learning (ML), particularly quantitative structure–activity relationship (QSAR) modeling, offers a promising solution by predicting compounds’ biological activity based on chemical structures. …”
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Study of Complex Impedance Dispersion Model for Two-Phase Laminar Flow by CHENG Linfeng, KE Shizhen, SHI Hongwei, ZHANG Yuhang, LUO Hu, TAO Jie

“…Therefore, it is imperative to identify a more cost-effective and efficient measurement method. Complex impedance spectrum (CIS) detection technology emerges as a promising solution, offering advantages such as low cost, easy implementation, environmental friendliness, and safety. …”
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Survival of the greenest: environmental sustainability and longevity of organizations by Daria M. Haner, Yilei Wang, Deniz S. Ones, Stephan Dilchert, Yagizhan Yazar, Karn Kaura

“…Additionally, older organizations demonstrated better resource use and management, operational eco-efficiency, climate strategy, and environmental reporting. …”
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Exploring the Moderating Effect of Well-Being on Job Crafting and Retention Outcomes of Healthcare Workers in the Nigerian Healthcare System by Nancy Tongo, Anthonia Adeniji, Odunayo Salau, Oluwakemi Onayemi, Oluwatoyin Adesanya

“…Methodology: The study employed the quantitative research design using primary data. The population of the study comprised all doctors and nurses in the secondary category of public hospitals in Lagos State, with a sample size of 725 determined using Morgan Sample Size Determination Table. …”
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Development of an RT-RPA assay for La Crosse virus detection provides insights into age-dependent neuroinvasion in mice by Lily Lumkong, Reem Alatrash, Sainetra Sridhar, Prince Baffour Tonto, Bobby Brooke Herrera

“…Conclusions This study establishes the RT-RPA assay as an efficient, specific, and sensitive diagnostic platform for LACV, with potential for adaptation into field-deployable LFA tests. …”
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SERCA-mediated endoplasmic reticulum stress facilitates hematopoietic stem cell mobilization by Lijun Li, Danhua Xu, Xinxin Huang

“…Molecular and protein expression levels associated with the pathway were analyzed through quantitative reverse-transcription PCR and western blotting. …”
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Microscale Pore Throat Differentiation and Its Influence on the Distribution of Movable Fluid in Tight Sandstone Reservoirs by Fengjuan Dong, Xuefei Lu, Yuan Cao, Xinjiu Rao, Zeyong Sun

“…The above results deepen the understanding of the pore throat structure of tight sandstone reservoirs and present guiding significance for classification evaluation, quantitative characterization, and efficient development of tight sandstone reservoirs.…”
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Optimum Combination of Spectral Variables for Crop Mapping in Heterogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning by J. G. de Oliveira Júnior, J. C. D. M. Esquerdo, J. C. D. M. Esquerdo, R. A. C. Lamparelli, R. A. C. Lamparelli

“…This article aimed to determine a workflow for more efficient large-scale crop mapping using a time series of images from the Sentinel-2 Satellite, statistical methods of attribute selection, and machine learning. …”
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Patients’ experiences regarding self-monitoring of the disease course: an observational pilot study in patients with inflammatory rheumatic diseases at a rheumatology outpatient cl... by Lisanne Renskers, Sanne AA Rongen-van Dartel, Anita MP Huis, Piet LCM van Riel

“…Patients were able to and willing to self-monitor their disease, which could contribute to a more efficient allocation of outpatient consultations in the future.…”
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A Mini-Review of Sludge-Derived Biochar (SDB) for Wastewater Treatment: Recent Advances in 2020–2025 by Lia Wang, Lan Liang, Ning Li, Guanyi Chen, Haixiao Guo, Li’an Hou

“…Specifically, this review summarized the advances from 2020 to 2025, focusing exclusively on functional modifications, and practical applications of SDB across diverse wastewater treatment technologies involved in adsorption, catalytic oxidation, membrane integration, electrochemical processes and bio-treatment systems. Quantitative comparisons of adsorption capacities (e.g., >99% Cd2+ removal, >150 mg/g tetracycline adsorption) and catalytic degradation efficiencies are provided to illustrate recent improvements. …”
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Advanced Segmentation of Gastrointestinal (GI) Cancer Disease Using a Novel U-MaskNet Model by Aditya Pal, Hari Mohan Rai, Mohamed Ben Haj Frej, Abdul Razaque

“…This research is relevant and essential because of the current challenges related to the absence of efficient diagnostic tools for early diagnostics of GI cancers, which are fundamental for improving the diagnosis of these common diseases. …”
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Untargeted metabolomic analyses of fermented unpolished black rice with melanogenesis inhibition activity by Orrarat Sangkaew, Suttida Kaenboot, Thumnoon Nhujak, Chadin Kulsing, Nuttanee Tungkijanansin, Sittiruk Roytrakul, Chulee Yompakdee

“…Together, they will facilitate the efficient and reproducible generation of high-efficacy ingredients for the cosmetic, nutraceutical, and potentially pharmaceutical industries.…”
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Pharmacokinetic and Lipidomic Assessment of the In Vivo Effects of Parishin A-Isorhynchophylline in Rat Migraine Models by Chaoqun Zhou, Mingzhen He, Chunyan Peng, Jianjun Yu, Zhifeng Li, Maofu Zhou, Yan Li, Shilin Yang, Hui Ouyang, Yulin Feng

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Bio-Preparation of Iron Nano Fertilizers from Lemon Fruit Affected some of the Characters of Carrot plants (Daucus carota L.) by Laila Hefdah Allah Alansi, Najeeb M. Al-Magrebi Al-Magrebi

“…To study the biological preparation of iron nano fertilizers from lemon fruit extract and their effect on some quantitative traits of carrot (Daucus carota L.) plant. …”
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Understanding Behavioral Intention to Adopt Electric Vehicles Among Motorcycle Taxi Pilots: A PLS-SEM Approach by Sitaram Sukthankar, Relita Fernandes, Shilpa Korde, Sadanand Gaonkar, Disha Kurtikar

“…Motorcycle taxis are crucial in Goa’s transportation network, providing affordable, efficient, and door-to-door services, especially in regions with limited public transport options. …”
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CASCADE: a community-engaged action model for generating rapid, patient-engaged decisions in clinical research by Bridgette L. Kelleher

“…Conclusions The CASCADE approach was an effective tool for rapidly, efficiently making patient-centered decisions during an ongoing, federally funded clinical trial. …”
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Multi-Level Feature Dynamic Fusion Neural Radiance Fields for Audio-Driven Talking Head Generation by Wenchao Song, Qiong Liu, Yanchao Liu, Pengzhou Zhang, Juan Cao

“…Then, we introduce the idea of multi-head attention and design an efficient audio-visual fusion module that explicitly fuses audio features with image features from different planes, thereby improving the mapping between audio features and spatial information. …”
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Artificial Visual System for Stereo-Orientation Recognition Based on Hubel-Wiesel Model by Bin Li, Yuki Todo, Zheng Tang

“…In this paper, we provide a clear and efficient conceptual understanding of stereo-orientation selectivity and propose a quantitative explanation for its generation based on the thought of local-to-global information aggregation within the Hubel-Wiesel model and develop an artificial visual system (AVS) for stereo-orientation recognition. …”
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