Search Results (1,380)

This study examines the influence of mass media on the career choices of high school students from Brașov County, Romania, with a focus on their underlying motivational factors. Employing a quantitative design, it draws on data from a standardized questionnaire completed by 1314 students from local high schools. Descriptive and inferential statistical methods were used in the analysis. While some students identify mass media as a key source of career guidance, documentaries and career fairs are more frequently cited as trusted sources. Students’ perceptions of mass media are ambivalent: 55.1% see it as manipulative, while 41.7% and 24.7% acknowledge its informative and educational roles. Personal motivation emerges as the most significant influence, with 64.8% guided by individual talents and abilities, compared to a lower influence from family or media role models. Correlational analysis highlights the importance of personal development, creativity, and collaboration in career motivation. This study suggests that mass media indirectly shapes students’ aspirations by reinforcing values like social recognition, mobility, and identity. Finally, it reveals a strong link between career interest and expectations for respectful, stable, and growth-oriented work environments, pointing to a pragmatic orientation toward professional sustainability. Full article

Blood-based biomarkers allow monitoring of an individual’s health status and provide insights into metabolic and inflammatory processes in conditions like obesity, cardiovascular, and liver diseases. However, selecting suitable biomarkers and optimizing analytical assays presents challenges, is time-consuming and laborious. Moreover, knowledge of potential sex differences remains incomplete as research is often carried out in men. This study aims at enabling researchers to make informed choices on the type of biomarkers, analytical assays, and dilutions being used. More specifically, we analyzed plasma concentrations of >90 biomarkers using commonly available ELISA or electrochemiluminescence-based multiplex methods, comparing normal weight (BMI < 25; n = 40) with obese (BMI > 30; n = 40) adult blood donors of comparable age. To help choose optimal biomarker sets, we grouped frequently employed biomarkers into biological categories (e.g., adipokines, acute-phase proteins, complement factors, cytokines, myokines, iron metabolism, vascular inflammation), first comparing normal-weight with obese persons, and thereafter exploratively comparing women and men within each BMI group. Many biomarkers linked to chronic inflammation and dysmetabolism were elevated in persons with obesity, including several adipokines, interleukins, chemokines, acute-phase proteins, complement factors, and oxidized LDL. Further exploration suggests sex disparities in biomarker levels within both normal-weight and obese groups. This comprehensive dataset of biomarkers across diverse biological domains constitutes a reference resource that may provide valuable guidance for researchers in selecting appropriate biomarkers and analytical assays for own studies. Moreover, the dataset highlights the importance of taking possible sex differences into account. Full article

Introduction: Cystic fibrosis (CF) is a genetic condition affecting several organs and systems, including the pancreas, colon, respiratory system, and reproductive system. The detection of a growing number of CFTR variants and genotypes has contributed to an increase in the CF population which, in turn, has had an impact on the overall statistics regarding the prognosis and outcome of the condition. Given the increase in life expectancy, it is critical to better predict outcomes and prognosticate in CF. Thus, each person’s choice to aggressively treat specific disease components can be more appropriate and tailored, further increasing survival. The objective of our narrative review is to summarize the most recent information concerning the value and significance of clinical parameters in predicting outcomes, such as gender, diabetes, liver and pancreatic status, lung function, radiography, bacteriology, and blood and sputum biomarkers of inflammation and disease, and how variations in these parameters affect prognosis from the prenatal stage to maturity. Materials and methods: A methodological search of the available data was performed with regard to prognostic factors in the evolution of CF in children and young adults. We evaluated articles from the PubMed academic search engine using the following search terms: prognostic factors AND children AND cystic fibrosis OR mucoviscidosis. Results: We found that it is crucial to customize CF patients’ care based on their unique clinical and biological parameters, genetics, and related comorbidities. Conclusions: The predictive significance of more dynamic clinical condition markers provides more realistic future objectives to center treatment and targets for each patient. Over the past ten years, improvements in care, diagnostics, and treatment have impacted the prognosis for CF. Although genotyping offers a way to categorize CF to direct research and treatment, it is crucial to understand that a variety of other factors, such as epigenetics, genetic modifiers, environmental factors, and socioeconomic status, can affect CF outcomes. The long-term management of this complicated multisystem condition has been made easier for patients, their families, and physicians by earlier and more accurate identification techniques, evidence-based research, and centralized expert multidisciplinary care. Full article

Background: Lung cancer remains one of the leading causes of cancer-related mortality worldwide. While most diagnoses occur in outpatient settings, a subset of cases are incidentally identified during emergency department (ED) visits. The clinical characteristics and treatment decisions of these patients, particularly in relation to social background factors such as living situation and access to primary care, remain poorly understood. Methods: We conducted a retrospective study of patients diagnosed with malignancies in the ED of a single institution between April 2018 and December 2021. Patients diagnosed with lung cancer within 60 days of an ED visit were included. Data on demographics, disease status, treatment decisions, and background factors—including whether patients lived alone or had a primary care physician (PCP)—were extracted and analyzed. Results: Among 32,108 patients who visited the ED, 148 were diagnosed with malignancy within 60 days; 23 had lung cancer. Of these, 69.6% had metastatic disease at diagnosis, and 60.9% received active treatment (surgery or chemotherapy). No significant associations were observed between the extent of disease and either living arrangement or PCP status. However, the presence of a PCP was significantly associated with the selection of best supportive care (p = 0.023). No significant difference in treatment decisions was observed based on age (cutoff: 75 years). Conclusions: Although social background factors such as living alone were not significantly associated with cancer stage or treatment choice, the presence of a primary care physician was associated with a higher likelihood of best supportive care being selected. This may indicate that patients with an established PCP have more clearly defined care goals at the end of life. These findings suggest that primary care access may play a role in shaping end-of-life care preferences, highlighting the importance of personalized approaches in acute oncology care. Full article

Hormonal contraceptives (HCs) are widely used and generally well tolerated; however, their neuroendocrinological effects remain underappreciated in clinical decision-making. Beyond ovulation suppression, HCs influence brain function by modulating key neurotransmitters such as GABA, serotonin, and dopamine, as well as neurosteroids like allopregnanolone and β-endorphin. These interactions help explain why some users experience mood swings, anxiety, or changes in sexual desire, while others report improvements in well-being. In this narrative review, we explore how different estrogenic and progestin components affect central pathways involved in emotional regulation and cognition. Evidence suggests that estradiol or estetrol-based formulations combined with anti-androgenic progestins like drospirenone or nomegestrol acetate may offer a more favourable neuroendocrine profile, particularly in women with a history of mood disorders or hormonal sensitivity. Understanding these neuroendocrine mechanisms may support more personalized contraceptive choices, particularly in women with mood disorders and hormonal vulnerability. Full article

Consumer perceptions of upcycled foods, as well as the determinants of food choices, are still not well understood. The aim of this study was to evaluate the impact of psychological and personal traits on purchase intention (PI) towards upcycled foods of Italian consumers. Additionally, willingness to try (WTT), willingness to buy (WTB), and willingness to pay (WTP) for yogurt, bread, and biscuits made with by-products, namely, hazelnut skin and grape pomace powder, were collected. A web-based survey involving 505 consumers was conducted, and partial least squares structural equation modeling (PLS-SEM) was used to evaluate the model. It resulted that food neophobia and attitude towards upcycled foods had a significant impact on PI. In turn, attitude was affected by food neophobia as well as by objective knowledge about food by-products. Unexpectedly, frugality and environmental concern did not affect PI. WTP was product-specific; when WTP was compared to a reference price, it was higher for the yogurt prototype, followed by the bread and biscuits prototypes. Food neophobia affected WTT, WTB, and WTP. This study contributes to providing new insights into the determinants of consumers’ purchase intention for upcycled foods, which are an emerging category of products. Full article

In bioinformatics, pathway analyses are used to interpret biological data by mapping measured molecules with known pathways to discover their functional processes and relationships. Pathway analysis has become an essential tool for interpreting large-scale omics data, translating complex gene sets into actionable experimental insights. However, issues inherent to pathway databases and misinterpretations of pathway relevance often result in “pathway fails,” where findings, though statistically significant, lack biological applicability. For example, the Tumor Necrosis Factor (TNF) pathway was originally annotated based on its association with observed tumor necrosis, while it is multifunctional across diverse physiological processes in the body. This review broadly evaluates pathway analysis interpretation, including embedding-based, semantic similarity-based, and network-based approaches to clarify their ideal use-case scenarios. Each method for interpretation is assessed for its strengths, such as high-quality visualizations and ease of use, as well as its limitations, including data redundancy and database compatibility challenges. Despite advancements in the field, the principle of “garbage in, garbage out” (GIGO) shows that input quality and method choice are critical for reliable and biologically meaningful results. Methodological standardization, scalability improvements, and integration with diverse data sources remain areas for further development. By providing critical guidance with contextual examples such as TNF, we aim to help researchers align their objectives with the appropriate method. Advancing pathway analysis interpretation will further enhance the utility of pathway analysis, ultimately propelling progress in systems biology and personalized medicine. Full article

The influence of social media personalities has grown significantly, especially among youth audiences who spend substantial time on platforms like TikTok. The emergence and popularity of different types of social media influencers accelerated during the COVID-19 pandemic in many countries, including South Africa. In turn, this period also saw a surge in youth audiences following these influencers. This rapid growth of influencer followings among young people is largely driven by specific types of content that resonate with them, thus encouraging continued engagement. However, the benefits that these young followers gain from engaging with various influencers and the factors driving their preferences for specific influencers remain underexplored, particularly within the context of South African students within higher education. Therefore, this study explores the types of social media influencers most followed by university students at a South African University and investigates the key factors that drive their preferences. A structured online questionnaire was distributed, gathering both multiple-choice and open-ended responses from students. The data were analyzed using categorical frequency counts and thematic analysis. The data highlight how students actively turn to influencers as emotional anchors, role models, and sources of practical guidance. Their engagement reflects a deep need for connection, inspiration, and identity formation in a challenging academic and social environment. These patterns show that influencer content is not just entertainment but plays a critical developmental role. Understanding these motivations helps educators, policymakers, and brands to align better with youth values. The significance of these results lies in how influencer content is now coming in to fill the emotional, cultural, and educational gaps left by traditional systems among the young South African university students in this modern era. Full article

Robotic search of people in human-centered environments, including healthcare settings, is challenging, as autonomous robots need to locate people without complete or any prior knowledge of their schedules, plans, or locations. Furthermore, robots need to be able to adapt to real-time events that can influence a person’s plan in an environment. In this paper, we present MLLM-Search, a novel zero-shot person search architecture that leverages multimodal large language models (MLLM) to address the mobile robot problem of searching for a person under event-driven scenarios with varying user schedules. Our approach introduces a novel visual prompting method to provide robots with spatial understanding of the environment by generating a spatially grounded waypoint map, representing navigable waypoints using a topological graph and regions by semantic labels. This is incorporated into an MLLM with a region planner that selects the next search region based on the semantic relevance to the search scenario and a waypoint planner that generates a search path by considering the semantically relevant objects and the local spatial context through our unique spatial chain-of-thought prompting approach. Extensive 3D photorealistic experiments were conducted to validate the performance of MLLM-Search in searching for a person with a changing schedule in different environments. An ablation study was also conducted to validate the main design choices of MLLM-Search. Furthermore, a comparison study with state-of-the-art search methods demonstrated that MLLM-Search outperforms existing methods with respect to search efficiency. Real-world experiments with a mobile robot in a multi-room floor of a building showed that MLLM-Search was able to generalize to new and unseen environments. Full article

Veterinarians are not just animal health professionals; they are also considered animal welfare experts. Animal-directed empathy, the ability to understand and match an animal’s emotional state, is essential for recognizing animal welfare issues. It is therefore a vital competency for veterinarians. The factors that play a role in shaping this empathy are animal, personal, and cultural influences, as well as the categorization of animals based on their benefit or harm to people: pet, pest or profit (used for economic purposes). We conducted a survey among veterinary students in the Netherlands to assess their levels of animal-directed empathy by scoring their attitude toward animals with the “Pet, Pest, Profit Scale”. Analysis of 321 completed surveys revealed that students showed the highest empathy for pets, the second-highest levels for pest animals, and the lowest levels for profit animals. Empathy levels also differed depending on career choice, background, and diet. These findings indicate that categorizing animals influences veterinary students’ empathy levels, which can lead to unrecognized welfare issues, especially for pest and profit animals. It is important to enhance empathy for these categories through targeted educational interventions to help prepare veterinary students for their responsibility as veterinarians, ensuring the welfare of all animals, whether pet, pest or profit. Full article

Aged-care services are in crisis through a combination of rising demand and increasing costs. Quality of care is often reported to be insufficient. Medical science has increased lifespans but the overmedicalisation of aged care may affect the financial sustainability and quality of care. Person-centred care was developed as a solution and is generally interpreted as being concerned with consumer choice. This study presents a human rights-based approach to a code of conduct for aged-care consumers and workers to ensure autonomy and participation in aged-care communities, which are fundamental to person-centred care. A test–retest cohort study was used to investigate the impact of a training module about a human rights-based code of conduct on the perspectives of new aged-care workers (n = 11) on a case scenario involving conflicting care priorities. Qualitative content analysis was used to categorise and count the participants’ responses. The analysis found that prior to training the majority of participants were focused on a medical and risk reduction model of care. After the training participants had a more expansive understanding of care needs and recognised the importance of client empowerment to enable clients to participate in decisions affecting their care. The results support the implementation of a human rights-based approach to worker training and client care; such an approach is consistent with person-centred care. Full article

The consumer acceptance of genetically modified (GM) foods varies widely based on personal values and social context. This study investigates how cultural worldviews—measured through the Individualism–Communitarianism and Hierarchical–Egalitarianism dimensions—affect willingness to pay (WTP) for food labeling attributes related to GM content. We surveyed 932 U.S. primary grocery shoppers and conducted a discrete choice experiment (DCE) with poultry product options. Using a Mixed Logit model and supplemental cognitive data from Query Theory, we find that rural individualists are more accepting of GM-labeled products. At the same time, urban communitarians show a stronger preference for non-GM labels. These results offer insight into how values and thought patterns shape food technology perceptions, with implications for communication and policy. Full article

(1) Background: The development of professional identity in future educators is a dynamic and multifaceted process, shaped by personal experiences, interpersonal relationships, role models, and the values internalized across diverse learning ecologies. This identity formation is closely intertwined with academic achievement, socio-educational integration, peer interactions, and the underlying motivations for choosing a particular educational and professional trajectory. This study explores the connections between students’ educational experiences and their motivation to pursue careers in pedagogy and social education. (2) Methods: Based on 138 autoethnographic narratives written by undergraduate students enrolled in Anthropology of Education courses at two [Spanish] universities. (3) Results: The analysis reveals how reflective engagement with personal educational histories enables students to reconstruct the relational foundations of their learning paths. These reflections inform their academic and career choices, which are understood not as static decisions, but as evolving trajectories shaped by a generational context characterized by uncertainty and change. (4) Conclusions: The findings highlight how students, through their narratives, articulate both their professional aspirations and a vision of the educator as an agent of change—one who emerges in response to, and often in critique of, the educational structures and practices. Full article

Background/Objectives: Endovascular thrombectomy has become a mainstay in the treatment of acute ischemic stroke caused by large vessel occlusion. Among the multiple factors that influence outcomes, the choice of anesthetic technique—general anesthesia (GA), conscious sedation (CS), or local anesthesia (LA)—remains controversial. This narrative review aims to critically examine and synthesize current evidence comparing the efficacy and safety of different anesthetic strategies in endovascular stroke treatment. Methods: A structured search of the PubMed^® database was conducted using the terms “stroke treatment”, “endovascular stroke treatment”, “anesthesia”, “general anesthesia”, “conscious sedation”, and “local anesthesia”. The search focused on clinical trials involving human subjects published in English. Studies were included if they compared at least two anesthetic techniques during thrombectomy and reported outcomes such as neurological recovery, mortality, or complication rates. Reviews, case reports, and animal studies were excluded. Results: Several randomized controlled trials and observational studies show comparable functional outcomes between GA and CS, though CS may confer advantages in early neurological recovery and reduced complications. Local anesthesia, though less studied, may offer favorable outcomes in selected patients. General anesthesia appears to be associated with greater hemodynamic variability and a higher risk of post-procedural infections, particularly in unsuccessful interventions. Maintaining stable blood pressure and minimizing ventilation duration are crucial to improving patient prognosis. Conclusions: While both GA and CS are viable options during thrombectomy, CS and LA may provide a safer profile in selected patients by preserving hemodynamic stability and reducing infectious risk. Personalized anesthetic strategies and further high-quality trials are warranted. Full article

Coronary artery bypass grafting (CABG) has evolved into a cornerstone treatment for coronary artery disease, with graft selection playing a critical role in long-term outcomes. Multiple arterial grafting (MAG) represents a significant advancement over single arterial grafting, utilizing conduits such as the internal thoracic artery and radial artery to enhance graft durability and patient survival. This review examines the outcomes, challenges, and controversies associated with MAG, highlighting its superior patency rates and reduced need for repeat revascularization procedures. While the technique provides long-term survival benefits, concerns such as the complexity of surgical techniques, increased operative time, and higher resource utilization underscore the importance of surgeon expertise and institutional infrastructure. Patient selection remains critical, as factors like age, comorbidities, and gender influence outcomes and highlight disparities in access to MAG. Emerging evidence addresses debates regarding optimal graft choice and balancing long-term benefits against short-term risks. Future directions focus on ongoing clinical trials, innovations in minimally invasive and robotic-assisted CABG, and technological advancements aimed at improving graft patency. Professional guidelines and best practices underscore the need for personalized approaches to optimize MAG’s potential. This article underscores the promise of MAG in redefining CABG care, paving the way for enhanced patient outcomes and broadened applicability. This article highlights the promise of MAG in transforming CABG care, leading to improved patient outcomes and expanded applicability. Full article