In contemporary times, women have gained recognition as accomplished entrepreneurs who make substantial contributions to economic development by virtue of their perseverance, excellence, and expertise. The concept of women's entrepreneurship encompasses the undertaking of creating novel enterprises, with the individual's intention to assume the role of an entrepreneur serving as a pivotal factor in this developmental trajectory. The underperformance of female entrepreneurs is alarming for developing nations. Purposefully, exploring the factors correlating female entrepreneurship intention is highly regarded, and a timely research is needed, thus this study explores the context of Pakistan considered a developing country. Hence, we collected data from listed small and medium enterprises (SMEs) operating in the country by means of structured questionnaires. Using SPSS and Smart-PLS software, we developed a conceptual model and performed analysis. The Theory of Planned Behavior (TPB) constitutes a robust psychological framework applicable to understanding and anticipating various human behaviors, first and foremost, entrepreneurial intention. When applying the TPB to the area of women's entrepreneurial intentions, several crucial factors come into play, including motivation, self-confidence, personality traits, and adaptability. The results indicate that factors such as the will to start a business, willingness, personality traits, adaptability, and background factors, including education and experience, impact entrepreneurial intention. Also, their professional careers make them able to launch a business. Based on our findings, we recommend that the Small and Medium Enterprise Development Authority (SMEDA), policymakers, and practitioners may provide various incentives and support systems related to these factors to encourage their own company launches. Prior research has examined various factors that impact the entrepreneurial mindsets of women. However, our study focuses specifically on closely associated aspects that have received limited attention, particularly in the context of Pakistan. This study makes a valuable contribution to the extant body of literature by providing empirical evidence in the aforementioned domains.
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http://dx.doi.org/10.1016/j.heliyon.2023.e21820 | DOI Listing |
Pak J Med Sci
January 2025
M. Jawaid A. Mallick, MD Consultant Oncologist, Head of Department of Oncology, Dr. Ziauddin Hospital, Karachi, Pakistan.
Background & Objective: Determination of axillary lymph-node status plays a pivotal role in decision making for breast cancer treatment. Biopsy is the current standard of care but hold risks of complications as well. We aimed to find out the correlation of sonographic features of lymph node and histo-pathological findings, to predict axillary lymph-node metastasis in breast cancer patients.
View Article and Find Full Text PDFNat Sci Sleep
January 2025
Department of Applied Psychology, Faculty of Social Sciences, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan.
Background: While bedtime procrastination is commonly associated with adverse outcomes such as poor sleep quality, the mechanisms mediating these effects remain underexplored. Grounded in the Self-Regulation Model of Behavior and the Transactional Model of Stress and Coping, this study examines the mediating role of cognitive reappraisal in the relationship between bedtime procrastination and sleep quality over time.
Methods: Employing a longitudinal design, the study examined the progression of bedtime procrastination, cognitive reappraisal, and sleep quality among university students at three distinct time points throughout an academic semester.
Sensors (Basel)
January 2025
Cognitive Systems Lab, University of Bremen, 28359 Bremen, Germany.
This paper presents an approach for event recognition in sequential images using human body part features and their surrounding context. Key body points were approximated to track and monitor their presence in complex scenarios. Various feature descriptors, including MSER (Maximally Stable Extremal Regions), SURF (Speeded-Up Robust Features), distance transform, and DOF (Degrees of Freedom), were applied to skeleton points, while BRIEF (Binary Robust Independent Elementary Features), HOG (Histogram of Oriented Gradients), FAST (Features from Accelerated Segment Test), and Optical Flow were used on silhouettes or full-body points to capture both geometric and motion-based features.
View Article and Find Full Text PDFSci Rep
January 2025
Artificial Intelligence and Data Analytics (AIDA) Lab, CCIS Prince Sultan University, 11586, Riyadh, Saudi Arabia.
The Internet of Vehicles (IoV) transforms the automobile industry through connected vehicles with communication infrastructure that improves traffic control, safety and information, and entertainment services. However, some issues remain, like data protection, privacy, compatibility with other protocols and systems, and the availability of stable and continuous connections. Specific problems are related to energy consumption for transmitting information, distributing energy loads across the vehicle's sensors and communication units, and designing energy-efficient approaches to processing received data and making decisions in the context of the IoV environment.
View Article and Find Full Text PDFPLoS One
January 2025
Department for Educational Development, Aga Khan University, Karachi, Pakistan.
Background & Objectives: The context, mechanism, and outcome (CMO) framework is meant to identify specific contextual factors (C) related to organizational and program structure that trigger certain mechanisms (M) involving the unique characteristics of a program, leading to specific outcomes (O). The purpose of this study was to explore the contextual underpinnings, operational processes, and resultant effects of the faculty mentorship program at AKU-SONAM. This exploration involved the context in terms of organizational culture, mechanisms examining processes such as communication between mentors and mentees, quality of relationships, the challenges encountered, and the program's adaptability to cope up while, outcomes encompassed improvements in interpersonal relationships, career advancement, and skill development.
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