Results 101 to 110 of about 226,863 (285)
Integrating Surface‐Enhanced Raman Scattering (SERS) with machine learning creates a powerful platform for cancer management. This approach enhances diagnostic precision through non‐invasive molecular fingerprinting and enables real‐time therapeutic monitoring. By combining SERS with machine learning, it offers a comprehensive solution for early cancer
Heng‐Zhou He+9 more
wiley +1 more source
ABSTRACT This paper views career growth in teacher quality through the lens of human capital theory to understand the roles of on‐the‐job training (OJT) and learning by doing (LBD) in human capital formation. If OJT is the primary determinant of human capital, incentive pay policies could create a dynamic multitasking problem, leading teachers to ...
Nirav Mehta
wiley +1 more source
ABSTRACT Feedback interventions play a vital and pervasive role in organizations. However, there is no consensus on how feedback interventions work or why their effectiveness varies over time. This study responds to the call by feedback intervention theorists to engage in primary research in organizational settings. It analyzes the impact of a feedback
Shankar T. Naskar+1 more
wiley +1 more source
Family Firms' Boards: Reflections Based on Theoretical Groundings
ABSTRACT Boards of Directors is one of the most recurring topics in corporate governance literature. In the family firm realm, Boards of Directors have distinctive features compared to non‐family firms; their functions and activities can differ significantly.
Andrea Sangermano+2 more
wiley +1 more source
Risk of Open Conversion During Robotic Gastrectomy for Gastric Cancer: Optimizing Patient Selection
ABSTRACT Background and Objectives Robotic surgery for gastric adenocarcinoma (GC) shows recovery benefits compared to open and laparoscopic approaches. While open conversion (OC) is associated with poorer outcomes, factors influencing robotic gastrectomy (RG) OC are obscure.
Courtney Chen+12 more
wiley +1 more source
Diagnosing coastal processes using machine learning and ocean buoyancy gliders
Abstract Ocean buoyancy gliders provide a comprehensive view of the water column, offering more than simply a snapshot of a single moment in time or space. In this study, we applied the established machine learning method, k‐means clustering, to a glider dataset collected in the summer of 2015 in the northern Gulf of Mexico.
Robert L. Iles IV+3 more
wiley +1 more source
Abstract Background Individual variability in clinical response to dopamine replacement therapy (DRT) is a key barrier to efficacious treatment for patients with Parkinson's disease (PD). A better understanding of the neurobiological sources of such interindividual differences is necessary to personalize DRT prescribing, inform future clinical ...
Alex I. Wiesman+5 more
wiley +1 more source
Sebagai alat komunikasi penduduk Indonesia dan alat pemersatu penduduk antar pulau di seluruh wilayah Indonesia. Dalam penulisan kata atau kalimat dalam Bahasa Indonesia perlu memperhatikan dan mengikuti aturan penulisan bahasa yang baik dan benar ...
Paseru, Debby+2 more
core +1 more source
In this study we utilized proteomic profiling to investigate mechanisms linked to the cancer‐inhibitory effect of cranberry proanthocyanidins (CPACs) on reflux‐induced esophageal adenocarcinoma in a rat model. The results indicate that CPAC inhibits cancer through targeting multiple hallmarks of cancer known to be dysregulated in progression to ...
Yun Zhang+7 more
wiley +1 more source
Poly(ADP‐ribose) polymerase 1 (PARP‐1) is vital for DNA repair. A computational workflow integrating AI‐driven virtual screening (TransFoxMol, KarmaDock, AutoDock Vina) and molecular dynamics identified novel PARP‐1 inhibitors with promising efficacy and minimized side effects.
Guan Wang+3 more
wiley +1 more source