Results 111 to 120 of about 13,846 (260)
Deepening the real options debate: Real options as dynamic optimization
Strategic Management Journal, EarlyView.Abstract Research Summary Is real option theory useful for management research? This topic was hotly debated two decades ago. Real options were said to be inapplicable to management research and to lack conceptual distinctiveness. Whereas responses to the claim about the non‐distinctiveness of real options were disparate, the concern about the theory's
Arkadiy V. Sakhartov +2 more
wiley +1 more source
Smart Molecules, EarlyView.AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin +10 more
wiley +1 more source
No Evidence for an Association Between DIP2B Repeat Expansion and Neurological Disease
Movement Disorders, EarlyView.
Chia‐Ying Ko +9 more
wiley +1 more source
TESOL Quarterly, EarlyView.Abstract Considering applied linguistics as a problem‐centered discipline, we address an enduring challenge in the field: the need to ensure that research provides findings that can contribute to solving everyday challenges faced by language practitioners.
Hyun‐Bin Hwang, Matthew D. Coss
wiley +1 more source
TESOL Quarterly, EarlyView.Abstract This article examines how a top‐down English medium instruction (EMI) decision changed a language teacher's status and participation in faculty governance in a graduate engineering school at a national university in Japan. Using a longitudinal single‐case design, the study follows one language teacher across the period from policy announcement
Ikuya Aizawa, Yuka Akiyama
wiley +1 more source
KIR-SMOTE: Knowledge Inconsistency Repair SMOTE for Imbalanced Data Classification
Class imbalance is a pervasive challenge in machine learning, where standard classifiers often exhibit a strong bias toward the majority class. Although the Synthetic Minority Over-sampling Technique (SMOTE) is widely used to address this issue by interpolating new minority samples, it heavily relies on spatial geometry and ignores underlying domain ...
openaire +1 more source
AB-SMOTE: An Affinitive Borderline SMOTE Approach for Imbalanced Data Binary Classification [PDF]
International Journal of Machine Learning and Computing, 2020 Hisham Al Majzoub, Islam Elgedawy
openaire +1 more source
Teaching Mishaps With Mistakes: A Peer‐Led Seminar Using Student Case Studies to Enhance Retention
Teaching Statistics, EarlyView.ABSTRACT Traditional teaching often emphasizes correct methods, limiting opportunities to explore analytical errors and biases. We introduce a seminar framework that integrates peer‐to‐peer teaching with intentional exposure to statistical and machine learning mishaps through flawed, student‐designed case studies.
Elizabeth Y. Yuu, Bernhard Y. Renard
wiley +1 more source
A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana
Thunderbird International Business Review, EarlyView.ABSTRACT In light of revitalizing Ghana's economic landscape through sustainable job creation underpinned by 24‐h operations across all key sectors, the National Democratic Congress proposed the ‘24‐h economy’ policy proposal. This study employs the web‐scraping technique through text mining and python codes to analyse 1820 comments from Facebook, X ...
Pius Gamette +3 more
wiley +1 more source
Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source