Results 91 to 100 of about 1,654 (258)
Reflective Pathways: Integrating Empathy Into the STEM Student Experiences
ABSTRACT The growing demand for a globally competent STEM workforce showcases the importance of embedding empathy into undergraduate education. As a core dimension of global competence, empathy enables individuals to engage diverse perspectives and navigate collaborative challenges.
Aparajita Jaiswal +3 more
wiley +1 more source
ABSTRACT Understanding collegiate norms and practices that promote sense of belonging among students who have traditionally been raced, gendered, stigmatized, and excluded as the ‘other’ in predominantly white institutions (PWI) is of paramount importance today as these efforts face increasingly antagonistic legislation, state policies, and ...
Nkenji K. Clarke +3 more
wiley +1 more source
ABSTRACT Objective To evaluate the intra‐ and inter‐rater reliability of a computer‐aided diagnosis system applied to thyroid nodule assessment. Methods This prospective, single‐center study included 150 thyroid nodules evaluated by two physicians at two time points, 90 days apart.
Leonardo de Souza Piber +3 more
wiley +1 more source
Talent Management in SMEs: Unraveling the Role of Contextual Factors
ABSTRACT Employing a multiple case study analysis, this paper explores the contextual factors—internal, external, and relational—that affect small and medium‐sized enterprises (SMEs) in designing their approaches to talent management (TM). Results underscore the significance of two prominent internal variables—namely, organizational size and ownership ...
Franca Cantoni +2 more
wiley +1 more source
Sarcasm Detection in Sentiment Analysis Using Recurrent Neural Networks
In recent years, online opinionated textual data volume has surged, necessitating automated analysis to extract valuable insights. Data mining and sentiment analysis have become essential for analysing this type of text.
Maneeha Rani +6 more
doaj +1 more source
Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories
ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley +1 more source
Abstract The term femicide, widely used in reference to the “killing of a woman because she is a woman,” has been questioned on the ground that it implies unequal dignity of men and women victims of gender related death. This position called for an analysis of the terminology used to describe and define the various forms of killing of women and men. We
Giuseppe Benagiano +3 more
wiley +1 more source
Sentiment analysis is increasingly pivotal in natural language processing (NLP), crucial for deciphering public opinions across diverse sectors. This research conducts a comparative examination of rule-based and machine learning (ML) methods in sentiment
Mukhtar Amirkumar +4 more
doaj +1 more source
Sentibank: A Unified Resource of Sentiment Lexicons and Dictionaries
Sentiment analysis is critical across computational social science domains, but faces challenges in interpretability. Rule-based methods relying on expert lexicons enable transparency, yet applying them is hindered by resource fragmentation and lack of validation. This paper introduces sentibank, a large-scale unified database consolidating 15 original
openaire +1 more source
ABSTRACT Introduction Socioeconomic disparities in academic achievement are well‐documented in France and emerge early in schooling. Yet, a subset of students from socioeconomically disadvantaged backgrounds attains high academic performance, challenging deterministic accounts of educational inequality.
Margot Rémeau +2 more
wiley +1 more source

