Results 121 to 130 of about 34,023 (303)

Are micro-/mesocosm studies really not suitable for the risk assessment of plant protection products? A comment on Reiber et al. (2022)

Environmental Sciences Europe
Background A recently published article, by Reiber et al., on the representativity of macroinvertebrate communities in outdoor micro- or mesocosm studies, used as a higher tier tool in the environmental risk assessment of plant protection products (PPPs)
Udo Hommen, Marie Brown, Eric Bruns, Klaus Peter Ebke, Ivo Roessink, Tido Strauss, Nadine Taylor   +6 more
doaj   +1 more source

Model‐based clinical pharmacology profiling of subcutaneous nivolumab in renal cell carcinoma: Bridging to alternative dosing regimens and indications

Clinical Pharmacology &Therapeutics, EarlyView.
A novel model‐informed drug development (MIDD) approach was employed to derive the coprimary endpoints (time‐averaged serum concentration over 28 days [Cavgd28] and minimum serum concentration at steady state [Cminss]) of the phase III CheckMate 67T study (NCT04810078).
Yue Zhao, Zheyi Hu, Elizabeth Gibson, Li Zhu, Heather Vezina, Anna G. Kondic   +5 more
wiley   +1 more source

Remote Control of ADAS Features: A Teleoperation Approach to Mitigate Autonomous Driving Challenges

Engineering Proceedings
This paper presents a novel approach to enhancing the safety of Advanced Driver Assistance Systems (ADAS) by integrating teleoperation for the remote control of ADAS features in a vehicle.
İsa Karaböcek, Batıkan Kavak, Ege Özdemir   +2 more
doaj   +1 more source

Differential sensitivity to SHH signaling and neural crest‐mediated Gas1 expression regulate jaw size during development and evolution

Developmental Dynamics, EarlyView.
Abstract Background Developmental control of jaw size is crucial to prevent birth defects and facilitate evolutionary adaptation. We have shown that jaw size is established by neural crest mesenchyme (NCM), which are progenitor cells that migrate into the mandibular primordia and produce the jaws.
Zuzana Vavrušová, Daniel B. Chu, An Nguyen, Yeniko Ta, Jennifer L. Fish, Richard A. Schneider   +5 more
wiley   +1 more source

Dual‐Atom Catalysts for Bifunctional Oxygen Electrocatalysis: Controllable Construction and Synergistic Mechanisms

EcoEnergy, EarlyView.
This review focuses on controllable construction, geometric‐/electronic‐structure characterizations, and synergistic mechanisms of the bimetallic dual‐atom sites in the recently emerging bifunctional dual‐atom catalysts for the oxygen reduction/evolution reactions.
Zhaoxiao Hao, Shujie Zhang, Kuangmin Zhao, Suqin Liu, Zhen He   +4 more
wiley   +1 more source

Instrumental activities of daily living in older adults with epilepsy: A cross‐sectional and longitudinal multicenter study

Epilepsia, EarlyView.
Abstract Objective Instrumental activities of daily living (IADLs) represent a critical but understudied measure of day‐to‐day function in people with epilepsy (PWE). In the multicenter Brain Aging and Cognition in Epilepsy (BrACE) study of PWE ≥55 years of age, we examined the proportion, clinical correlates, epilepsy‐related predictors, and ...
Ifrah Zawar, Anny Reyes, Jonathan Helm, Kayela Arrotta, Bruce P. Hermann, Alena Stasenko, Robyn M. Busch, Mark Quigg, Jaideep Kapur, Aaron F. Struck, Vineet Punia, McKenna E. Williams, Katherine J. Bangen, Irene Wang, Jerry J. Shih, Lisa Ferguson, Jana E. Jones, Carrie R. McDonald   +17 more
wiley   +1 more source

Creativity and its link to epilepsy

Epilepsia Open, EarlyView.
Abstract Creative thinking represents one of our highest‐order cognitive processes, involving multiple cortical structures and an intricate interplay between several cortical and subcortical networks. It results in novel ideas that translate to useful products or concepts. The evolutionary purpose of creativity is therefore apparent, as it advances our
Itay Tokatly Latzer, Phillip L. Pearl
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Diabetes Increases Immunotherapy‐Related Toxicity but Not Efficacy in Metastatic Non‐Small Cell Lung Cancer: A Multicenter Retrospective Study

International Journal of Cancer, EarlyView.
ABSTRACT This multicenter retrospective study evaluated the impact of type 2 diabetes mellitus (DM) on clinical outcomes and immune‐related adverse events (irAEs) in 450 patients with metastatic non‐small cell lung cancer (NSCLC) treated with second‐line nivolumab at 17 centers between 2016 and 2024. Among these patients, 118 (26.2%) had DM.
Emre Çakır, Didem Divriklioğlu, Deniz Can Güven, Gamze Serin Özel, Oğuzhan Yıldız, Gamze Emin, Merve Keskinkılıç, Yeşim Ağyol, Onur Yazdan Balçık, Nagihan Kolkıran, Hale Gülçin Yıldırım Doğan, Pervin Can Şancı, Özge Yalıcı, Teoman Şakalar, Yurdagül Danacı, Yakup Düzköprü, Canan Yıldız, Mesut Yılmaz, İlhan Hacıbekiroğlu, Bülent Erdoğan, Saadettin Kılıçkap, Gamze Gököz Doğu, Melek Karakurt Eryılmaz, Atila Yıldırım, İlhan Öztop, İbrahim Vedat Bayoğlu, Şahnura Uzuntaş, Atike Pınar Erdoğan, Emir Çelik, Devrim Çabuk, Erdoğan Selçuk Şeber, Zehra Sadak Öcal, Hacer Demir   +32 more
wiley   +1 more source

Signal processing in unmanned vehicles (ADAS) with MATLAB

Advanced Driver Assistance Systems (ADAS) in unmanned vehicles rely on robust signal processing techniques to interpret sensor data and make critical navigation decisions.
Karpovich, B. О.
core