Results 151 to 160 of about 7,438,355 (284)

The performance of Maltese-speaking adults on the Boston naming test

, 2011
The Boston Naming Test (Kaplan et al 1983) is standardized on different populations and it is the most widely used naming test worldwide in both research and clinical settings. For this reason, this test was used to investigate naming performance in Maltese-speaking adults in a bilingual context.
openaire   +1 more source

Zuranolone: A case study in (regulatory) rush to judgement?

British Journal of Clinical Pharmacology, EarlyView.
Abstract Sage, in collaboration with Biogen, submitted a new drug approval for zuranolone for postpartum depression (PPD) and major depressive disorder (MDD) in December 2022. In August 2023, the US Food and Drug Administration granted approval for PPD but denied approval for MDD.
Lisa Cosgrove, Milutin Kostic, Barbara Mintzes, Gianna D'Ambrozio, Allen Shaughnessy   +4 more
wiley   +1 more source

Regulatory harmonization: Evolution, globalization and future directions

British Journal of Clinical Pharmacology, EarlyView.
Regulatory harmonization has become an increasingly important and accepted approach to streamline regulatory review processes and expedite access to safe, effective and high‐quality medicines globally. This review explores the evolution and current status of regulatory harmonization, convergence and reliance initiatives.
Orin Chisholm, Elaine Y. L. Blair, Christine Y. Lu   +2 more
wiley   +1 more source

Adaptation and Norm Determination Study of the Boston Naming Test for Healthy Turkish Elderly. [PDF]

Noro Psikiyatr Ars, 2018
Soylu AE, Cangöz B.
europepmc   +1 more source

Tackling cancer stemness with nanotechnology in the era of precision medicine

BMEMat, EarlyView.
Precise customization of nanoparticles (NPs) enables active targeting of cancer stem cells (CSCs), thereby improving drug delivery and therapeutic efficacy. NP‐based probing enhances CSC detection through imaging and liquid biopsy, whereas diverse therapeutic payloads improve therapeutic outcomes.
Shaolei Guo, Shun Yao, Lihui Meng, Chunyuan Chen, Yuechu Lucinda Lu, Rong Lu, Kashif Rafiq Zahid, Umar Raza, Qingzhi Wu, Wenli Chen   +9 more
wiley   +1 more source

Effects of Education on Differential Item Functioning on the 15-Item Modified Korean Version of the Boston Naming Test. [PDF]

Psychiatry Investig, 2017
Kim BS, Lee DW, Bae JN, Kim JH, Kim S, Kim KW, Park JE, Cho MJ, Chang SM.   +8 more
europepmc   +1 more source

AI‐Enabled Circular Business Model Transition for Mitigating Climate Change: A Natural Resource‐Based View Perspective on Business Strategies

Business Strategy and the Environment, EarlyView.
ABSTRACT The role of artificial intelligence (AI) in achieving sustainability goals has garnered attention in academic literature. While AI has been argued to be crucial in addressing circularity challenges, organizations face challenges in configuring a business model.
Jian Wang, Sanjay Chaudhary, Muhammad Mustafa Kamal, Salwa Saleh Almasabi, Sándor Remsei   +4 more
wiley   +1 more source

Cangrelor Dosing, Administration, and Clinical Outcomes for Patients Undergoing Complex and High‐Risk Percutaneous Coronary Interventions

Catheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Background Cangrelor reduces thrombotic events in patients undergoing percutaneous coronary intervention (PCI), with the advantage of rapid onset and offset. However, premature discontinuation may increase the risk of acute thrombosis for patients undergoing complex/high‐risk PCI (CHIP).
Siyu Ma, Wendy Y. Cheng, Yinong Liang, Josephine Bryar, Gwyneth Wei, Joshua D. Niznik, Christina Yin, Sue Liu‐Yi, Jimmy L. Kerrigan   +8 more
wiley   +1 more source

Cross-Linguistic Insights From the Boston Naming Test: Structural Comparability and Performance Comparisons of English and Korean Speakers With Aphasia. [PDF]

Am J Speech Lang Pathol
Sung JE, Shin J, García AM, Scimeca M, Kiran S.   +4 more
europepmc   +1 more source

Sparse maximum likelihood estimation of regression models

Canadian Journal of Statistics, EarlyView.
Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley   +1 more source