Professional Challenges Research Articles

The Lived Experiences of Women Leaders in Nonprofit Organizations

This qualitative study aims to explore and understand the leadership experiences of women in mid-level roles in nonprofit organizations. By employing role congruity theory and intersectionality as analytical frameworks, the study aims to identify the unique personal, professional, and organizational challenges these women face. The research also seeks to contribute to the literature by examining how gender intersects with other social identities to shape the leadership trajectories of women in educational settings. The study identifies self-confidence and gender, and racial stereotypes as major challenges experienced by women leaders in mid-level roles. The research highlights how these stereotypes can undermine women's leadership effectiveness and limit their opportunities for career advancement. Overall, this study adds to the existing body of knowledge by addressing gaps related to the intersection of gender with other identities.

Professional adaptation of international academics: a critical discussion through the lens of complexity theory

ABSTRACT The number of international academics in universities has increased steadily over the past decades, driven by universities’ internationalisation strategies to enhance their competitiveness in the global market and the academics’ desire for career advancement through broadening global experiences, international networks and collaboration. Despite their growing number, little attention has been given to the professional transition of international academics. This paper offers a critical discussion on the professional adaptation challenges, strategies and institutional support available to international academics using complexity theory as a lens. By conceptualising the university as a complex system, we argue that professional adaptation needs to be integrated into the entire system, a move from being largely international academics’ business to a bilateral and reciprocal approach. This has implications for host institutions to consider their own position towards international academics as well as review current support policies and practices for these individuals.

Effectiveness of an Inquiry-Based Science Program on Enhancing Science Process Skills and Knowledge Among Moroccan Preschool Children

<p style="text-align:justify">This study evaluates the effectiveness of a twelve-week Inquiry-Based Science (IBS) program on enhancing science process skills and scientific knowledge among preschool children in Morocco. Conducted in a quasi-experimental setting, it involved 105 children (M = 60.46 months, SD = 4.32), with 37 in the IBS group and 68 in the control group. The program utilized the 5Es instructional model and the Engineering Design Process (EDP) to engage children in active, hands-on learning experiences. Statistical analysis demonstrated that the IBS group achieved substantial improvements in both science process skills and scientific knowledge relative to the control group, with between-group effect sizes (Cohen’s d) ranging from 1.02 and 2.31. These findings highlight the significant impact of structured inquiry-based approaches in early childhood education. The study underscores the need for integrating such methods into the preschool curriculum to foster scientific understanding and skills from a young age, thereby better preparing Moroccan children for future academic and professional challenges. The results advocate for educational stakeholders to consider adopting inquiry-based learning frameworks to enhance the overall quality of early childhood education in Morocco.</p>

Optimizing Work Readiness Through Soft Skills, Motivation, and Internships

Preparing students for the professional world is crucial, and this study evaluates how soft skills, motivation, and internship experiences influence their work readiness. Conducted among 202 Management students at Universitas Muhammadiyah Sidoarjo, Indonesia, the research reveals a significant positive correlation between soft skills development and work readiness, as well as the positive impact of motivation on students' preparedness for the job market. Internship experiences also play a vital role in enhancing students' understanding of real work environments. The findings emphasize the importance of integrating soft skills development into curricula, sustaining student motivation, and providing relevant internship opportunities to better equip students for professional challenges. Highlight: Soft skills development correlates positively with work readiness. Motivated students show greater preparedness for the job market. Internship experiences enhance students' understanding of real work environments. Keywoard: Work Readiness, Soft Skills, Motivation, Internship Experiences, Higher Education

Nursing as an earthquake survivor: A qualitative study on nurses traumatized by the Kahramanmaraş earthquake in Turkey.

Nurses' critical input and firsthand disaster management experience are vital to healthcare quality. This study aims to comprehend nurses' experiences during and after the earthquakes, their coping mechanisms for posttraumatic stress disorder (PTSD), and the consequent effects on their profession, given the nurses' crucial role in disaster response. A descriptive qualitative study using semistructured interviews was conducted between April and May 2024. Fifteen nurses were selected using criterion and snowball sampling methods from those working as earthquake survivor nurses in the affected areas. The COREQ guidelines for reporting qualitative research were followed. Five main themes were: emotional reactions/physical difficulties, career and motivation, PTSD and well-being, suggestions, and work performance. The results highlighted the significant psychological and professional challenges that nurses encounter, including the effects of severe PTSD symptoms, coping strategies, and the influence on their capacity to deliver care. Nurses dealing with earthquakes face unique challenges that test their resilience on all levels. Learning from their experiences and coping mechanisms can help healthcare systems support these frontline workers better. Investing in disaster preparedness and mental health resources for nurses is crucial for their well-being and the overall strength of the healthcare system during crises. Effectively managing workloads and rest periods can reduce physical fatigue and prevent burnout. Shift rotations and adequate staffing levels are necessary. Access to psychological mental health support is vital for nurses to recover from the psychological effects of disasters. Regular disaster preparedness training is imperative for physical safety and psychological resilience. Robust support systems, including safe accommodation and peer support groups, are crucial for nurses in disaster response.

The Influence of Job Level and Work Stress on Learning Motivation of Master's Students at Harapan Bangsa Business School Class of 2023-2024

The demands of balancing professional and academic responsibilities present unique challenges for Master’s students who work while pursuing higher education, often resulting in increased job stress and varied impacts on learning motivation. This study investigates how job level and job stress influence the learning motivation of Master's students in Management at Harapan Bangsa Business School, focusing on students from the 2023-2024 cohort. A quantitative approach was used, employing structured questionnaires to collect data from a sample of 120 students in Bandung between July and November 2024. The analysis, conducted through multiple regression, revealed that job level significantly positively affects learning motivation, with students in higher positions exhibiting greater motivation to succeed academically. In contrast, job stress did not show a statistically significant effect on learning motivation, indicating that its impact may vary based on individual resilience and role-specific factors. These results suggest that learning motivation is more closely tied to job level than job stress. The study provides valuable insights for educational institutions aiming to enhance motivation among working students by promoting autonomy and competency support, aligning with Deci and Ryan’s self-determination theory. Institutions can better support students' academic success across different job levels by focusing on strategies that increase student autonomy and skill-building opportunities.

An inquiry on the on-the-job training experiences of accounting interns

This study examines the experiences of accounting interns during their On-the-Job Training (OJT) program in accounting firms, banking institutions, and government agencies. The research participants, who graduated from the accountancy program in 2022-2023, have completed the OJT program and are currently employed. Using the cognitive apprenticeship theory, the researchers explored the experiences of interns in their PJT. During their OJT, the accounting interns experienced immersive training, practical application, and interactions with colleagues. The on-the-job training experiences of the Accounting Interns contribute to their overall professional development and personal growth through building professionalism, developing workplace skills, employing adaptive resilience, and cultivating reflective learning. The OJT experiences prepare the Accounting Interns for their current job because they have developed positive workplace behaviour and efficiency. The challenges encountered by the Accounting Interns during OJT are unrelated or unfamiliar tasks, problems with social skills, difficulty in task organization, and difficulty adjusting to work culture and protocols. Accounting Interns cope with the challenges during their OJT through self-initiated learning, seeking help from colleagues, building confidence, time management, and observing professionalism. Furthermore, the OJT program combined academic knowledge with practical skills to improve students' career readiness. The experience prepared them for professional challenges in their fields. The findings of this study contribute to the exploration of the accountancy students during their OJT. Moreover, other students can find ways on how to deal with encountered problems as they undergo the OJT program.

Integrating physiotherapists in disaster management: A key to comprehensive recovery

Abstract Disasters, both natural and man-made, pose significant challenges, causing substantial loss of life, property damage, and environmental degradation. Physiotherapists play a crucial role in disaster management, spanning prevention, preparedness, response, and recovery phases. They provide acute care, and long-term rehabilitation, addressing physical and psychosocial recovery aspects. Case studies from the Kashmir, Nepal, and Haiti earthquakes illustrate the vital role of physiotherapists in triage, wound care, mobilization, and community reintegration. Despite barriers such as resource limitations and professional challenges, physiotherapists enhance disaster response through specialized skills and multidisciplinary collaboration. To improve disaster management, recommendations include policy support, training, capacity building, and international cooperation. Investing in physiotherapy in disaster management is essential for building resilient, inclusive communities capable of facing future challenges.

Resilience, job satisfaction, occupational stress, and occupational accidents among healthcare professionals: A Bayesian network analysis.

Occupational accidents remain a critical challenge for healthcare professionals. In the present study, using the Bayesian network (BN) approach association among resilience, job satisfaction, stress, and occupational accidents among healthcare professionals is examined. Data was gathered using several valid questionnaires. The BN approach was utilized to analyze the r5/31/2024ionships between the variables of the current study. The performance of BN analysis was evaluated using related indexes. In total, 300 healthcare professionals participated in this study. Results showed that almost 23% of healthcare professionals had experienced occupational accidents. Results of the sensitivity analysis demonstrated that job satisfaction had the most significant influence on occupational accidents in healthcare settings. The belief updating analysis results showed that by increasing job satisfaction and decreasing stress of healthcare professionals the occurrence of occupational accidents decreased 9.8% and 6.4%, respectively. Moreover, decreasing the stress of healthcare professionals can lead to an increase in the level of job satisfaction. Evaluation indexes showed that the performance of the developed BN was acceptable (error rate: 16.09). The Findings reveal that both job satisfaction and stress had a significant influence on occupational accidents in healthcare professionals. Moreover, by influencing job satisfaction and stress, resilience can indirectly affect occupational accidents.

Enhancing medical imaging education: integrating computing technologies, digital image processing and artificial intelligence.

The rapid advancement of technology has brought significant changes to various fields, including medical imaging (MI). This discussion paper explores the integration of computing technologies (e.g. Python and MATLAB), digital image processing (e.g. image enhancement, segmentation and three-dimensional reconstruction) and artificial intelligence (AI) into the undergraduate MI curriculum. By examining current educational practices, gaps and limitations that hinder the development of future-ready MI professionals are identified. A comprehensive curriculum framework is proposed, incorporating essential computational skills, advanced image processing techniques and state-of-the-art AI tools, such as large language models like ChatGPT. The proposed curriculum framework aims to improve the quality of MI education significantly and better equip students for future professional practice and challenges while enhancing diagnostic accuracy, improving workflow efficiency and preparing students for the evolving demands of the MI field.

Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions

The integration of artificial intelligence (AI) into medical disciplines is rapidly transforming healthcare delivery, with audiology being no exception. By synthesizing the existing literature, this review seeks to inform clinicians, researchers, and policymakers about the potential and challenges of integrating AI into audiological practice. The PubMed, Cochrane, and Google Scholar databases were searched for articles published in English from 1990 to 2024 with the following query: “(audiology) AND (“artificial intelligence” OR “machine learning” OR “deep learning”)”. The PRISMA extension for scoping reviews (PRISMA-ScR) was followed. The database research yielded 1359 results, and the selection process led to the inclusion of 104 manuscripts. The integration of AI in audiology has evolved significantly over the succeeding decades, with 87.5% of manuscripts published in the last 4 years. Most types of AI were consistently used for specific purposes, such as logistic regression and other statistical machine learning tools (e.g., support vector machine, multilayer perceptron, random forest, deep belief network, decision tree, k-nearest neighbor, or LASSO) for automated audiometry and clinical predictions; convolutional neural networks for radiological image analysis; and large language models for automatic generation of diagnostic reports. Despite the advances in AI technologies, different ethical and professional challenges are still present, underscoring the need for larger, more diverse data collection and bioethics studies in the field of audiology.

FINDING SILVER LININGS: UNDERSTANDING THE CHALLENGES FACED BY NON-SPECIAL NEEDS EDUCATION TEACHERS IN THE ERA OF INCLUSIVE EDUCATION

This qualitative phenomenological study aimed to uncover the lived experiences of twelve (12) non-special needs education (non-SNed) teachers at New Corella National High School, focusing on the challenges they faced in the era of inclusive education. Additionally, the study described how these teachers coped with these challenges and the insights they gained from their experiences. In-depth interviews (IDI) were conducted with twelve (12) participants selected through purposive sampling. Results indicated that non-SNed teachers encountered various challenges, including managing diverse learning needs, lacking proper training and resources, and difficulties with integration and inclusion. Participants coped with these struggles by receiving comprehensive training, creating an inclusive atmosphere, enhancing student engagement and participation, achieving academic progress, and employing flexible learning strategies. The insights drawn from their experiences emphasized the importance of cultivating patience and adaptability, enriching understanding and empathy, navigating professional growth and challenges in inclusive education, and embracing and loving their students. Future researchers should adopt a mixed-methods approach with more participants to comprehensively grasp inclusive education processes. KEYWORDS- Non-Special Needs Education Teachers, Lived Experience, Challenges, Inclusive Education, Qualitative, Phenomenology, Philippines

Motivations of Israeli physicians to return, or not, to Israel after their fellowship abroad.

Emigration of healthcare professionals, particularly physicians, is an unresolved "pandemic", influenced by various factors. In high-income countries, the training phase (fellowship) abroad is critical for career development, yet it poses challenges for the retention of these professionals upon their completion of training. This study aimed to identify the determinants influencing Israeli physicians' decisions to return to their home country after completing fellowship training abroad. This cross-sectional study conducted in early 2024, surveyed Israeli physicians with post-graduate training who pursued a fellowship abroad between 2013 and 2024. An anonymous survey included questions on demographics, training experience, and professional challenges. Analytical methods included descriptive statistics and regression analysis to explore factors associated with the decision to return. Of the 323 individuals surveyed, 297 met the inclusion criteria. Among them, 141 (47.5%) have returned to Israel, while 156 (52.5%) currently reside abroad, 48 (31%) of them have completed their fellowship. Respondents identified several challenges, beginning with a complex application process prior to fellowship (47% stated this as a major challenge), substantial financial burdens averaging 35,546 USD in direct out-of-pocket expenses during, and job uncertainty, with only 55% having secured positions upon return. Of the 156 Israeli fellows still abroad, 107 (69%) reported medium to low confidence in returning. Factors associated with a higher likelihood of confidence in returning to Israel included a secured job position upon return (OR 8.6, 95% CI 3.1-28.9) and having an opportunity for a position that would utilize the skills gained during the fellowship (OR 3.5, 95% CI 1.3-10.2). The decision to return to Israel after a fellowship abroad is influenced by a mix of professional, personal, and geopolitical factors. To counteract the critical issue of brain drain, it is essential to enhance occupational certainty for returning physicians. These findings highlight the urgent need for healthcare policies that provide robust support for returning professionals and address their specific challenges.

Stress mindset and nurses' sleep quality: mediating effects of stress overload and anxiety.

Previous studies have shown that overall sleep quality among Chinese nurses is relatively low, with a sleep disorder prevalence rate of approximately 66.4%. Against the backdrop of healthcare reforms, China has been striving to improve the mental health and sleep quality of nurses. Stress mindset can influence how individuals respond to stress, but there is limited research on how stress mindset affects nurses' sleep quality. This study aims to explore the impact of stress mindset on sleep quality among nurses, as well as the mediating roles of stress overload and anxiety in this relationship. The study was conducted online using a questionnaire from February 18 to February 22, 2024. It utilized the Stress Mindset Measure (SMM), the Stress Overload Scale-Short (SOS-S), the Generalized Anxiety Disorder 7-item scale (GAD-7), and the Pittsburgh Sleep Quality Index (PSQI) to survey 441 nurses in three regions of China: Chongqing, Hunan, and Shandong (M = 34.39, SD = 7.82, 95.7% female). A chain mediation model was employed to examine the mediating roles of stress overload and anxiety in the relationship between stress mindset and sleep quality. The participants' average sleep quality score was 7.18 ± 3.47. Nurses' stress mindset was significantly negatively correlated with both stress overload and anxiety, and significantly positively correlated with sleep quality. Stress overload was significantly positively correlated with anxiety and significantly negatively correlated with sleep quality. Anxiety was also significantly negatively correlated with sleep quality. The direct effect of nurses' stress mindset on sleep quality was significant (effect size = -0.10, 95% CI: -0.19 to -0.01), as were the indirect effects through stress overload (effect size = -0.05, 95% CI: -0.11 to -0.01) and anxiety (effect size = -0.09, 95% CI: -0.13 to -0.05), along with their chain mediation effect (effect size = -0.10, 95% CI: -0.14 to -0.06). Our study demonstrates that a higher level of nurses' stress mindset is associated with better sleep quality, with stress overload and anxiety mediating this relationship. A positive stress mindset helps nurses cope more effectively with professional challenges and reduces anxiety, leading to improved sleep quality. Healthcare institutions should therefore prioritize fostering positive stress mindsets in nurses, encouraging regular psychological training and workshops to support the development of effective coping strategies.

UNVEILING FACTORS INFLUENCING RESEARCH HESITANCY AND LIMITED RESEARCH ENGAGEMENT AMONG FILIPINO BEGINNING TEACHERS

This descriptive qualitative study explores factors contributing to research hesitancy and limited research engagement experienced by Filipino beginning teachers. By employing in-depth individual interviews and a virtual focus group discussion, the study gathered insights from 21 purposively selected beginning teachers. Participants were required to meet all inclusion criteria to be part of the study. Template analysis was used to interpret the data gathered. The participants highlighted poor research foundations, demanding work conditions, lack of mentoring, perceived lack of professional competence, and preoccupation with personal issues as factors contributing to their research hesitance and limited research engagement. A significant finding revealed that many beginning teachers are preoccupied with personal issues, which often hinder their ability to balance personal and professional responsibilities. This highlights the complex interplay between personal struggles and professional challenges that novice educators face, an underexplored area in research. Studying the topic qualitatively allowed for a deeper understanding of these various challenges, bringing to light personal and professional struggles that may not have been fully captured through quantitative methods alone, providing a more complete picture of the issue. Findings also suggest a need for targeted interventions, such as enhanced research instruction, structured mentoring systems, manageable teaching responsibilities, and in-service training, to empower and support beginning teachers in their research journey. This study has significant implications for teacher preparation programs and school administrators, aiming to foster a research-oriented culture and enhance research engagement among early-career educators. Further investigation into how personal issues affect research skills development could help design more effective support strategies.

Capnodynamic assessment of mixed venous oxygen saturation in a porcine experimental endotoxemic model.

Sepsis continues to be a major cause of death and illness globally, posing significant challenges for healthcare professionals. In the pursuit of more accurate and timely monitoring tools, the concept of capnodynamically derived mixed venous oxygen saturation (Capno-SvO2) has emerged as a promising method. Capno-SvO2 provides a non-invasive way to assess and track SvO2 and could serve as an additional tool alongside more invasive methods like the pulmonary artery catheter. This could potentially be of great value in the care of critically ill patients with sepsis, where alternative minimal invasive monitoring methods may vary in reliability. The aim of the current study was to compare capno-SvO2 against values obtained through pulmonary artery blood sample CO-oximetry and continuous fiberoptic SvO2 monitoring, using a well-established porcine experimental sepsis model. Anesthetized pigs were exposed to a standardized endotoxin infusion sepsis protocol, followed by a series of maneuvers typically applied in sepsis care. Simultaneous recordings were done throughout the experiment for all three monitoring methods. Bland-Altman analysis corrected for repeated measurements was used to assess the agreement of absolute values between the paired recording of CO-oximetry and Capno-SvO2 as well as between CO-oximetry and fiberoptic SvO2. The ability of Capno-SvO2 and fiberoptic SvO2 to track changes was assessed by concordance rate. A total of 10 animals and 275 paired datapoints were included in the study. The majority of the animals displayed pronounced hemodynamical instability in response to endotoxin exposure and subsequent treatment interventions. Analysis of all paired data points showed a bias between Capno-SvO2 and CO-oximetry SvO2 of + 1% with 95% limits of agreement of -14% to + 17%. The corresponding numbers for fiberoptic SvO2 and CO-oximetry SvO2 were -4% and -15% to + 8%. The concordance rate as compared to CO-oximetry, were 97% and 93% for Capno-SvO2 and fiberoptic SvO2, respectively. In this experimental sepsis model, continuous, non-invasive Capno-SvO2 generates average absolute values comparable to the gold standard CO-oximetry albeit with relatively wide limits of agreement. Capno-SvO2 displayed a concordance rate of 97% against CO-oximetry and exhibits better trending ability compared to invasive fiberoptic SvO2.

Making a Life by What We Give

Abstract: In her latest column, NATS President Alexis Davis-Hazell examines the challenges of voice professionals navigating the figurative act two of their careers. She contemplates the mid-career crisis as a second adolescence, resulting in a call for transformation. Through hypothetical examples and analysis of the dynamics of mentorship, she observes how the crisis of mid-career is the most pivotal time of our professional lives. Davis-Hazell considers avenues of personal rediscovery and renewal by reflecting on a popular aphorism: we make a living by what we get, but we make a life by what we give.

A Comprehensive Review on the Significance of Cysteine in Various Metabolic Disorders; Particularly CVD, Diabetes, Renal Dysfunction, and Ischemic Stroke.

Metabolic disorders have long been a challenge for medical professionals and are a leading cause of mortality in adults. Diabetes, cardiovascular disorders (CVD), renal dysfunction, and ischemic stroke are the most prevalent ailments contributing to a high mortality rate worldwide. Reactive oxygen species are one of the leading factors that act as a fundamental root cause of metabolic syndrome. All of these disorders have their respective treatments, which, to some degree, sabotage the pathological worsening of the disease and an inevitable death. However, they pose a perilous health hazard to humankind. Cysteine, a functional amino acid shows promise for the prevention and treatment of metabolic disorders, such as CVD, Diabetes mellitus, renal dysfunction, and ischemic stroke. In this review, we explored whether cysteine can eradicate reactive oxygen species and subsequently prevent and treat these diseases.

Pandemic to Endemic: Changing Learning Styles as Coping Mechanism

Professional accountancy students face challenges as examinations are conducted by professional bodies separate from their learning institutions. As COVID19 enters the endemic stage, the transition from online distance learning (ODL) back to traditional face-to-face learning raises learning behaviours and preferences issues. This quantitative research on professional accounting students at Universiti Teknologi Mara (UiTM), aims to provide a perspective and critical evaluation of students' learning preferences and its implications on the appropriate teaching and learning pedagogy. The Partial Least Square Structural Equation Modelling (PLS-SEM), a multivariate method, is used to find path models with latent constructs to identify the influencing factors of ACCA students’ examination performances. It is found that ODL classes do not significantly change students’ learning style. It can be deduced that students are comfortable with ODL and traditional classes. Generally, the learning profile of the student population in this study indicates that the ability to adapt is still lacking and this may be a localised scenario. In Malaysia, to address this may require a comprehensive review of the education system that can develop students to become independent and active learners with high self-motivation.

Integrating Artificial Intelligence and Big Data in Spanish Journalism Education: A Curricular Analysis

Artificial intelligence (AI) and big data have impacted different professional sectors in our society. Communication and journalism are clearly among them. From the automatic generation of content to the identification of topics of interest or monitoring of users’ usage habits, AI introduces important training challenges for professionals in the field of communication. Meanwhile, big data analytics enables data journalists to handle large amounts of information in an automated manner, allowing them to perform in-depth analysis of disorganized data. This study analyzes the integration of artificial intelligence (AI) and big data in the curricula of journalism degrees offered by Spanish universities. The research employs quantitative and qualitative methods to examine the typology, syllabus, and distribution of subjects directly or indirectly addressing AI and big data topics, based on indicators such as structure, credit system, objectives, competencies, and professional profiles. The results reveal a scarce integration of AI and Big Data subjects in journalism curricula in Spain. Among the analyzed courses, only seven addressed data journalism as a complete course, while 19 introduced AI and Big Data as part of more general content. The study highlights the need for journalism education to adapt to the disruptive impact of AI and big data on the profession. It discusses the debate between focusing on teaching technological skills versus providing critical and ethical values. The research aims to contribute to the discussion on the readiness of journalism curricula to cope with technological advancements by analyzing the Spanish case.