Results 151 to 160 of about 22,159,913 (207)

Removing GSM and 2-MIB from Actual Raw Water by Iron-Based Advanced Oxidation Technology

Journal of Physics: Conference Series
Abstract This study was aimed to apply iron-based advanced oxidation technology (Fe2+/H2O2) to degrade typical odor substances (GSM and 2-MIB) in actual raw water. The reaction conditions such as initial pH, reaction time, molar ratio of Fe2+ to H2O2, and Fe2+ dosage were systematically studied and optimized.
Sushuang Luo, Dechao Xu, Fangling Li, Yang Liu, Xiaojiang Wang, Wu Lin, Boping Yu, Linshen Xie, Yi Huang, Qi Han   +9 more
openaire   +1 more source

Mitigating subtherapeutic cabozantinib exposure after prior mitotane therapy in adrenocortical carcinoma: Pharmacological boosting with cobicistat

British Journal of Clinical Pharmacology, Volume 92, Issue 2, Page 606-611, February 2026.
Mitotane is an adrenolytic drug with cytotoxic effects, registered for the treatment of advanced adrenocortical carcinoma (ACC), a rare but aggressive tumour type with a poor prognosis despite treatment. Recently, the oral multi‐kinase inhibitor cabozantinib has shown promising results as a potential second‐line treatment option.
Annemieke M. Peters van Ton, Nielka P. van Erp, Annenienke C. van de Ven, Janneke E. W. Walraven, Loek A. W. de Jong   +4 more
wiley   +1 more source

Multimodal approach to characterize surgically removed epileptogenic zone from patients with focal drug‐resistant epilepsy: From operating room to wet lab

Epilepsia Open, Volume 11, Issue 1, Page 347-362, February 2026.
Abstract Objective We have established a comprehensive sample handling protocol designed for the multiscale assessment of epileptogenic tissue. This protocol aims to identify novel therapeutic targets and enhance the diagnosis and stratification of patients with drug‐resistant epilepsy, thereby optimizing their treatment with anti‐seizure medications ...
Jenni Kyyriäinen, Adriana Della Pietra, Mastaneh Torkamani‐Azar, Mireia Gómez‐Budia, Polina Abushik, Nataliia Novosolova, Henri Eronen, Omar Narvaez, Ekaterina Paasonen, Vera Lezhneva, Anssi Pelkonen, Liudmila Saveleva, Antti Huotarinen, Ilya Belevich, Eija Jokitalo, Kuopio Epilepsy Center Epilepsy Surgery Group, Leena Jutila, Tuomas Rauramaa, Arto Immonen, Ville Leinonen, Jussi Tohka, Olli Gröhn, Reetta Kälviäinen, Tarja Malm, Alejandra Sierra   +24 more
wiley   +1 more source

Optimized reconstruction of undersampled Dixon sequences using new memory‐efficient unrolled deep neural networks: HalfVarNet and HalfDIRCN

Magnetic Resonance in Medicine, Volume 95, Issue 2, Page 1189-1204, February 2026.
Abstract Purpose Fat fraction (FF) quantification in individual muscles using quantitative MRI is of major importance for monitoring disease progression and assessing disease severity in neuromuscular diseases. Undersampling of MRI acquisitions is commonly used to reduce scanning time. The present paper introduces novel unrolled neural networks for the
Sandra Martin, Amira Trabelsi, Maxime Guye, Marc Dubois, Redha Abdeddaim, David Bendahan, Rémi André   +6 more
wiley   +1 more source

Polymer‐Assisted Direct and Rapid Microwave Synthesis of Mesoporous Binary and Ternary Metal Oxides for Electrocatalytic Water Oxidation

Small, Volume 22, Issue 8, 6 February 2026.
A novel direct and facile microwave synthesis route to prepare mesoporous binary and ternary metal oxides with P‐123® as porogen is presented. NiFe2O4 is applied in alkaline Oxygen Evolution Reaction (OER) and shows improved performance in comparison to nanoparticular and Evaporation Induced Self‐Assembly (EISA)‐derived mesoporous NiFe2O4.
Jasmin Helgert, Jana Timm, Lion Schumacher, Roland Marschall   +3 more
wiley   +1 more source

Ensemble Methods for History Matching and Uncertainty Quantification With a Watershed Model

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 1, February 2026.
ABSTRACT History matching of large hydrologic models is challenging due to data sparsity and non‐unique process combinations (and associated parameters) that can produce similar model predictions. We develop an ensemble‐based history matching (and uncertainty quantification) approach using an iterative ensemble smoother (iES) method for three cutouts ...
Michael N. Fienen, Andrew J. Long, Katherine H. Markovich, Adel E. Haj, Matthew I. Barker   +4 more
wiley   +1 more source

Comparison Study of Pretreatment Methods for GC/MS Analysis of Geosmin and 2-MIB

Journal of the Korean Society for Environmental Technology, 2022
Hyeong-In Im, Ju-Soon Bae, So-Young Lee, Min-Young Kim, Sung-Kook Jang, Ji-Woo Kim, Ji-Hyun Nam, Duk-An Lee   +7 more
openaire   +1 more source

The Difficulty in Numerical Computation Impacts Motor Decisions in a Stop‐Signal Task

European Journal of Neuroscience, Volume 63, Issue 3, February 2026.
Cognitive difficulty arising from numerical comparison modulates motor control. In a stop‐signal task where the Go and Stop signal corresponded to the result of a numerical comparison, we show that the degree of difficulty in making this mental operation affects both movement initiation and inhibition, highlighting the interaction between cognitive ...
Isabel Beatrice Marc, Valentina Giuffrida, Mariella Segreti, Ann Paul, Sabrina Fagioli, Pierpaolo Pani, Stefano Ferraina, Emiliano Brunamonti   +7 more
wiley   +1 more source

Molecular profile of atypical Leydig cell tumours

Histopathology, Volume 88, Issue 3, Page 628-635, February 2026.
Copy number variations by themselves are not sufficient to discriminate between benign and potential malignant Leydig cell tumours (LCTs). Genomic instability was only detected in malignant and atypical cases, and not in any benign tumours. Currently, the presence of metastasis remains the only malignant criterion for LCTs.
Muhammad F.K. Choudhry, Diogo Caires, Yaser Gamallat, Asli Yilmaz, Fadi Brimo, Bob Argiropoulos, Tarek A. Bismar   +6 more
wiley   +1 more source

Labor Productivity, Return Predictability, and Operating Profitability

Journal of Business Finance &Accounting, Volume 53, Issue 1, Page 411-434, February 2026.
ABSTRACT Labor productivity plays a crucial role in fundamental analysis, yet its impact on stock market valuation remains relatively unexplored. We show that labor productivity contains value‐relevant information incremental to equity book value and abnormal earnings.
Weimin Liu, Di Luo, Cheng Zeng, Huainan Zhao   +3 more
wiley   +1 more source