Search Results (58)

This study was carried out to determine if macro-level factors (namely, demographic and ecological factors) influence self-perceived social distance and actual social practice with individuals of different faith communities among tertiary students in Australian universities. The response drew several critical revelations, including 2 key findings: 1. Muslim and non-Muslim respondents largely befriend individuals of similar faith backgrounds, although non-Muslims were far more likely to be indifferent towards the religious beliefs of their immediate social circle. 2. Respondents with highly religious social circles reported a clear preference against befriending individuals of different faiths. Muslims were mainly reluctant to befriend non-Muslims, whereas non-Muslims were slightly less apprehensive. The findings presented in this study demonstrate the complexity and dynamism of intergroup contact, traditionally termed social distance, that has distinct implications for social integration. Whereas negative attitudes provide insight into the affective evaluation of a particular group, measures of social distance directly assess the impact of contact on the structural integration of groups. Given its inherently relational focus, this is an important direction for work on intergroup contact. Full article

Consumers often demonstrate an intrinsic aversion to unfamiliar foods referred to as food neophobia. Wild raccoon (Procyon lotor) meat represents such an unfamiliar food, both globally and within Japan. Providing information on the flavor of raccoon meat may help to alleviate consumer apprehension. Here, we employed the Check-All-That-Apply (CATA) sensory evaluation method to delineate its flavor profile. Ground meat samples of beef, pork, chicken, lamb, tuna, frog, venison, and raccoon were prepared using a food processor. The meat colors exhibited marked variation, with raccoon meat characterized by its notably high redness and low lightness. All meat samples were steam-cooked for 15 min prior to evaluation. Sensory assessment was conducted using the CATA method, wherein 17 Japanese panelists selected among 27 descriptors for flavor/taste and texture. The collected data were analyzed through correspondence analysis, revealing that raccoon meat was primarily characterized by the descriptors “having aftertaste,” “rich,” “difficult to swallow,” “lamb/mutton-like,” “gamey,” and “quirky,” indicating a sensory profile closely resembling that of lamb among the evaluated livestock meats. Thus, the CATA method could be effective in characterizing the flavor profile of raccoon meat, highlighting its similarity to lamb and presenting a viable strategy to familiarize consumers with this unconventional protein source. Full article

Background and Objectives: Artificial intelligence (AI) chatbots are increasingly employed for the dissemination of health information; however, apprehensions regarding their accuracy and reliability remain. The intricacy of sarcoidosis may lead to misinformation and omissions that affect patient comprehension. This study assessed the usability of AI-generated information on sarcoidosis by evaluating the quality, reliability, readability, understandability, and actionability of chatbot responses to patient-centered queries. Methods: This cross-sectional evaluation included 11 AI chatbots comprising both general-purpose and retrieval-augmented tools. Four sarcoidosis-related queries derived from Google Trends were submitted to each chatbot under standardized conditions. Responses were independently evaluated by four blinded pulmonology experts using DISCERN, the Patient Education Materials Assessment Tool—Printable (PEMAT-P), and Flesch–Kincaid readability metrics. A Web Resource Rating (WRR) score was also calculated. Inter-rater reliability was assessed using intraclass correlation coefficients (ICCs). Results: Retrieval-augmented models such as ChatGPT-4o Deep Research, Perplexity Research, and Grok3 Deep Search outperformed general-purpose chatbots across the DISCERN, PEMAT-P, and WRR metrics. However, these high-performing models also produced text at significantly higher reading levels (Flesch–Kincaid Grade Level > 16), reducing accessibility. Actionability scores were consistently lower than understandability scores across all models. The ICCs exceeded 0.80 for all evaluation domains, indicating excellent inter-rater reliability. Conclusions: Although some AI chatbots can generate accurate and well-structured responses to sarcoidosis-related questions, their limited readability and low actionability present barriers for effective patient education. Optimization strategies, such as prompt refinement, health literacy adaptation, and domain-specific model development, are required to improve the utility of AI chatbots in complex disease communication. Full article

Recruiting participants for clinical trials targeting specific populations, like patients with chronic motor complete spinal cord injuries (SCIs), is challenging. The RESTORES trial evaluated spinal cord stimulation (SCS) combined with robotic neurorehabilitation for motor recovery in this population. This feasibility study enrolled three participants to assess SCS implant safety, synergistic effects of SCS and robotic rehabilitation, and clinical outcomes. Key recruitment barriers included the small patient pool, stringent eligibility criteria, patient skepticism, and logistical and emotional challenges. Strategies to address these challenges encompassed multidisciplinary collaborations with clinical centers, SCI associations, and patient support groups, including pre-surgical counselling and transparent communication. A dedicated clinical research coordinator ensured ethical compliance, logistical support, and participant engagement. Travel reimbursements, family involvement, and peer advocacy fostered accessibility and trust. Of the 115 patients screened, only 3 met the strict eligibility criteria, due to high screening failure rates and participant apprehension. Peer testimonials and family support helped enhance motivation and adherence. Ethical safeguards, like a data safety monitoring board, ensured participant safety and transparency. The RESTORES trial underscores the complexity of recruiting for pioneering interventions while highlighting the importance of tailored, patient-centric strategies. Insights gained will inform future trials and contribute to advancing SCI rehabilitation, offering hope for enhanced neurological recovery and quality of life for individuals with chronic motor complete SCI. Full article

Cloud adoption necessitates relinquishing data control to cloud service providers (CSPs), involving diverse stakeholders with varying security and privacy (S&P) needs and responsibilities. Building upon previously published work, this paper addresses the persistent challenge of a lack of standardized, transparent methods for consumers to select and quantify appropriate S&P measures. This work introduces a stakeholder-centric methodology to identify and address S&P challenges, enabling stakeholders to assess their cloud service protection capabilities. The primary contribution lies in the development of new classifications and updated considerations, along with tailored S&P features designed to accommodate specific service models, deployment models, and stakeholder roles. This novel approach shifts from data or infrastructure perspectives to comprehensively account for S&P issues arising from stakeholder interactions and conflicts. A prototype framework, utilizing a rule-based taxonomy and the Goal–Question–Metric (GQM) method, recommends essential S&P attributes. Multi-criteria decision-making (MCDM) is employed to measure protection levels and facilitate benchmarking. The evaluation of the implemented prototype demonstrates the framework’s effectiveness in recommending and consistently measuring security features. This work aims to reduce consumer apprehension regarding cloud migration, improve transparency between consumers and CSPs, and foster competitive transparency among CSPs. Full article

Background: Mobile health (mHealth) applications play a crucial role in enhancing healthcare accessibility, patient engagement, and chronic disease management. However, technical, usability, accessibility, and privacy-related barriers continue to hinder their widespread adoption. The Sehaty app, a government-managed mHealth platform in Saudi Arabia, is widely used for scheduling medical appointments, accessing health records, and communicating with healthcare providers. Understanding the challenges associated with its utilization is essential for optimizing its functionality and improving user experience. Aim: This study aims to identify and evaluate the key barriers affecting the adoption and usability of the Sehaty mHealth application among patients with chronic conditions in Saudi Arabia. Specifically, it examines challenges related to technical performance, usability, accessibility, privacy, and security and their impact on user satisfaction and engagement. Methods: A cross-sectional study was conducted using a structured questionnaire distributed to 344 participants selected through purposive sampling to ensure the inclusion of active Sehaty users with chronic conditions. The questionnaire assessed 10 primary usability barriers, including technical issues, navigation difficulties, privacy concerns, and accessibility limitations. Descriptive statistics and correlation analyses were performed to evaluate the prevalence and interrelationships of these barriers. Results: The findings indicate that technical barriers, including frequent application crashes, slow responsiveness, and system instability, significantly hinder user satisfaction. Usability challenges, such as difficulties in navigation and task completion, further impede engagement. Moreover, privacy and security concerns emerged as significant deterrents, with users expressing apprehensions about data safety and transparency. Accessibility barriers, particularly for older adults and individuals with disabilities, were associated with insufficient support and training, making the app less user-friendly for these populations. The study highlights the interconnected nature of usability challenges, suggesting that improvements in technical stability and interface design could lead to enhanced user confidence, engagement, and overall satisfaction. Conclusions: Addressing these barriers requires targeted technical enhancements, user-centered design improvements, and strengthened data security measures to promote trust and engagement. Additionally, implementing comprehensive user support systems and accessibility features is essential to ensuring equitable access to mHealth services. While the study’s generalizability is limited by its focus on a single government-managed platform, its findings offer valuable insights applicable to broader mHealth initiatives. Future research should incorporate longitudinal studies to assess the long-term impact of usability improvements on mHealth adoption and healthcare outcomes. Full article

As food packaging materials are in direct contact with the food we eat and cook under heat or pressure, consumers are apprehensive of their adverse effects on the food products. Perfluoroalkyl and polyfluoroalkyl substances (PFASs) are often used in food packaging because of their hydrophobic properties; however, some PFASs are carcinogens, thus prompting further studies on their effects. In this study, a pretreatment method of 31 PFASs in coffee was established using the QuEChERS extraction method and analyzed by liquid chromatography–tandem mass spectrometry. We brewed 32 types of capsule coffee distributed in Korea, analyzed them for PFASs, and evaluated their safety. The results show that perfluorooctanoic acid and 8:2 fluorotelomer sulfonate levels are higher in machine-brewed capsule coffee than in capsule coffees brewed manually through a paper filter. However, the hazard quotient and excess cancer risk for all coffee samples are lower than the World Health Organization standards, and therefore, these samples are considered safe. The results of this study may aid in expanding the existing literature on PFAS detection in relation to human health. Full article

Background: A decrease in governmental vaccination initiatives and diminishing public enthusiasm for vaccines could jeopardize vaccine uptake, potentially endangering those who are most at risk. In this survey study, we evaluated the current acceptance rates of the newly developed monovalent XBB1.5-adapted COVID-19 vaccine among kidney transplant recipients and dialysis patients in Austria and Israel and identified factors influencing vaccine acceptance. Methods: The survey involved a total of 656 patients aged 18 and older and was carried out from 20 November to 21 December 2023, at the Medical University of Vienna, Austria and the Rabin Medical Center in Petah Tikva, Israel. Logistic regression analysis was used to explore the relationships between vaccine acceptance and variables such as age, gender, country, past COVID-19 infection status and severity, renal replacement therapy, education level, and willingness to receive the annual flu vaccine. Results: The survey showed that 54% of patients in Austria and 63% in Israel expressed acceptance of the modified XBB1.5-adapted COVID-19 vaccine. The main hesitancy was due to concerns about potential side effects, with 44% in Austria and 53% in Israel expressing apprehension. A willingness to receive the influenza vaccine, older age in Austria, and kidney transplant status in Israel were key predictors of greater COVID-19 vaccine acceptance. Conclusions: This study showed that more than 50% of our kidney transplant recipients and dialysis patients were willing to receive the adapted COVID-19 vaccine. Yet, vaccine hesitancy remained a significant barrier even among these high-risk groups, despite the availability of an updated COVID-19 vaccine targeting the Omicron subvariant XBB1.5. Full article

Introduction: Arthroscopic Bankart repair (ABR) is associated with an increased failure rate over time. The Recenter implant, a metal block, is designed to reinforce capsulolabral repair. The aim of this study was to evaluate whether the addition of the Recenter implant to ABR reduces the rate of recurrence in patients with glenohumeral anterior instability. Materials and Methods: This was a retrospective, multicentric case–control study focusing on patients surgically treated for anterior shoulder instability from February 2012 to November 2019. This study compared patients undergoing ABR augmented with the “Recenter” implant (augmented ABR group) against those receiving traditional ABR. Primary outcomes measured included recurrence rates. Secondary outcome measures included functional scores (Walch–Duplay and the subjective shoulder test [SST], the auto Rowe score, satisfaction, pain, and the presence or absence of subjective subluxation and apprehension), return to sports, the range of motion, as well as other complications. Results: Thirty-two patients with augmented ABR were compared to forty-eight patients in the traditional ABR group, with mean follow-up periods of 5.2 ± 1.3 years and 6.1 ± 1.5 years, respectively. Three patients (9.4%) experienced recurrence in the “Recenter” group, versus eight (16.7%) in the other group (p > 0.05). The Walch–Duplay score was 70.2 ± 8.2 in the “Recenter” group and 64.2 ± 8 in the control group (p > 0.05). The SST score out of 100 was, respectively, 84.6 ± 6 and 81.5 ± 5.5 (p = 0.05). There were no early complications in the implant group. No statistically significant differences were observed between the two groups for the other outcomes. Conclusions: ABR safely restores shoulder stability in selected patients with subcritical glenoid bone deficiency. However, the addition of the Recenter metal implant did not improve outcomes compared to traditional Bankart repair and introduced presumed significant surgical time, technical challenges, and additional costs. Full article

Background: Layperson cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use are vital for improving survival rates after out-of-hospital cardiac arrest (OHCA), yet their application varies by community demographics. We evaluated the concerns and factors influencing willingness to perform CPR and use AEDs among laypersons in high-risk, low-resource communities. Methods: From April 2022 to March 2024, laypersons in Northern Manhattan’s Community District 12 completed surveys assessing their attitudes toward CPR and AED use before attending Hands-Only CPR training. Fisher’s Exact Test assessed differences in concerns and willingness to perform CPR and AED use across racial-ethnic groups and compared low-resource communities with high-resource groups consisting of non-clinical staff across eight ambulatory sites. Results: Among 669 participants from low-resource communities, 64% identified as Hispanic, 58% were under 40 years of age, and 67% were female. Significant knowledge gaps were identified: 62% had never learned CPR, and 77% were unfamiliar with AEDs. Top concerns about giving CPR included fear of incorrect performance (67%), causing harm (56%), and legal repercussions (53%). Willingness to perform CPR was most influenced by familiarity with the victim. The primary barrier to AED use was a lack of operational knowledge (66%). Non-Hispanic Black participants expressed significantly greater concerns than their Non-Hispanic White counterparts. Participants in high-resource settings (n = 309) showed higher training rates, albeit with similar apprehensions about CPR and AED use. Conclusions: Concerns regarding CPR and AED use stem from a lack of confidence and training, particularly predominant in certain racial-ethnic groups. Targeted, culturally sensitive community interventions could potentially address these barriers, enhance preparedness, and improve OHCA survival rates. Full article

Background: Treatments for oral squamous cell carcinomas (OSCCs) often result in significant aesthetic and functional issues, impacting patients’ quality of life (QoL). The COVID-19 pandemic’s mask mandates may have provided psychosocial benefits by concealing facial disfigurements, potentially reducing stigma. This study aimed to assess the impact of mask-wearing on the QoL of patients surgically treated for OSCC. Methods: This single-center, cross-sectional study, conducted from June 2022 to December 2023, included patients who had completed their treatment and returned home before or during the mask-wearing mandate. They answered a questionnaire using a four-point Likert scale to evaluate the mask-wearing’s impact on QoL and the influence on it of physical appearance, tumor localization, radiotherapy, and treatment end date. Results: The questionnaire analysis found a high internal consistency among the questions (Cronbach’s alpha = 0.931). Considering 41 patients (median age 69, 63% male), wearing a mask significantly improved QoL, with a mean score of 1.66 compared to a score of 2.00 for patients not wearing it (p < 0.001). This improvement was particularly notable for appearance concerns, fear of perception by family or others, and sociability apprehension. The QoL, with or without mask use, was not significantly modified when considering physical appearance, tumor localization, radiotherapy, or end date of the treatment, as demonstrated by two-way ANOVA tests and multiple linear regression. Conclusions: Mask-wearing positively impacted QoL in OSCC patients, providing psychological relief from disfigurement and social stigma. Masks offer a simple, accessible solution to enhance QoL while awaiting a definitive prosthetic treatment, suggesting that their continued use could be beneficial in supportive care strategies. Full article

Microplastic contamination in terrestrial environments has risen significantly, far exceeding levels in marine environments. This shift underscores the concerning prevalence of microplastics (MPs) in sewage sludge and soil, raising environmental apprehensions. Microplastics from various sources accumulate in sewage systems, consequently, sewage sludge and soil have transformed into primary reservoirs of microplastic pollutants, capable of infiltrating aquatic ecosystems. While using sludge to enrich soil provides nutrients, it simultaneously introduces substantial microplastic content, posing environmental hazards. These microplastics can accumulate in the soil, altering its properties and potentially polluting deeper soil layers and groundwater, compounding environmental risks. This review scrutinizes the abundance, types, and shapes of microplastics in sewage sludge and soil, evaluating their impacts and suggesting future research directions. Statistical analysis reveals higher microplastic concentrations in sludge (271 Particles/kg dry weight) than in soil (34.6 Particles/kg). Strong correlations between microplastic concentrations in soil and sludge (R² = 0.95) underscore the significant influence of sludge application on soil ecosystems. The p-value of 0.0001 indicates a significant correlation between MP amounts in soil and sludge, while the p-value of 0.47 suggests no significant association between MP concentrations in wastewater and sludge. Research confirms that microplastics influence sludge properties, microbial communities, and soil characteristics, contingent on microplastic attributes and soil conditions. Predominantly, microplastic shapes found in sludge and soil are fibers and fragments, often linked to agricultural fertilizer use. Microplastics detrimentally affect soil bulk density and aggregate stability, impairing soil structure and surface. Furthermore, their presence alters pollutant transport behavior in soil, emphasizing the imperative to investigate microplastics’ effects and transport mechanisms for mitigating environmental and health risks. Full article

The integration of artificial intelligence (AI) with environmental, social, and governance (ESG) factors is impacting the direction of enterprises and society in our swiftly expanding world. This collaboration has significant potential to tackle critical issues such as reducing the impact of climate change, fostering social integration, and improving corporate governance. Nevertheless, the implementation of AI gives rise to intricate matters and apprehensions, as it brings out a distinct array of hazards and ethical quandaries for ESG performance. The objective of the present research is to fill this gap by gathering and offering a contemporary evaluation of the influence of advancing technologies on the strategic leadership’s role in fulfilling the business goal within the context of ESG considerations. We used bibliometric analysis to investigate the study subject using R Studio version 4.2.0 and the bibliometric applications VOSviewer version 1.6.20 and Biblioshiny version 4.2.0. We obtained data from the Scopus database and used the PRISMA approach to suitably choose 205 research publications. The results suggest that it is essential to use AI and ESG to digitize the boardroom. Additionally, it is crucial to guarantee its security using an advanced detection system. Therefore, chief executive officers (CEOs) must give priority to the issues of transparency and cybersecurity to reduce risks and successfully inspire trust in business activities. Full article

The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable ability to provide proficient responses to free-text queries, demonstrating a nuanced understanding of professional medical knowledge. This comprehensive survey delves into the functionalities of existing LLMs designed for healthcare applications and elucidates the trajectory of their development, starting with traditional Pretrained Language Models (PLMs) and then moving to the present state of LLMs in the healthcare sector. First, we explore the potential of LLMs to amplify the efficiency and effectiveness of diverse healthcare applications, particularly focusing on clinical language understanding tasks. These tasks encompass a wide spectrum, ranging from named entity recognition and relation extraction to natural language inference, multimodal medical applications, document classification, and question-answering. Additionally, we conduct an extensive comparison of the most recent state-of-the-art LLMs in the healthcare domain, while also assessing the utilization of various open-source LLMs and highlighting their significance in healthcare applications. Furthermore, we present the essential performance metrics employed to evaluate LLMs in the biomedical domain, shedding light on their effectiveness and limitations. Finally, we summarize the prominent challenges and constraints faced by large language models in the healthcare sector by offering a holistic perspective on their potential benefits and shortcomings. This review provides a comprehensive exploration of the current landscape of LLMs in healthcare, addressing their role in transforming medical applications and the areas that warrant further research and development. Full article

Background/Objectives: Evaluations allowing patients to return to sport (RTS) after anterior cruciate ligament reconstruction (ACLR) should be multimodal, including a psychological evaluation. The goal of this study was to determine if there is a correlation between the ACL–return to sport after injury (ACL-RSI) score at 6 months post-ACLR and mid-term functional results. Methods: A total of 498 patients were assessed 6 months after primary ACLR using a composite test including isokinetics, hops, and ACL-RSI. A minimum of 3 years of follow-up was necessary. At the last follow-up, each patient completed clinical and functional evaluations, including the subjective International Knee Documentation Committee (IKDC) score, Tegner Activity Scale, Self Knee Value (SKV), and ACL-RSI score. The results were compared overall and item by item. Results: At the last follow-up, the mean SKV, Tegner, IKDC, and ACL-RSI scores were 86.8 ± 14.3%, 6 ± 2.1, 77 ± 11.9%, and 68.8 ± 25.7%, respectively. A significant correlation existed between the 6-month ACL-RSI score and each functional test (respectively, ρ = 0.189 p < 0.001; ρ = 0.174 p < 0.001; ρ = 0.237 p < 0.001). The ACL-RSI score was significantly higher than at 6 months after surgery (p < 0.001). Over half (59.2%) of the cohort returned to an equal or greater level of activity, and there was a significant correlation between the 6-month ACL-RSI score and post-surgery level of activity. Conclusions: Patients with better ACL-RSI scores at 6 months post-ACLR have better functional results in the medium term and are more likely to RTS. Our results show a correlation between psychological factors at 6 months, measured through the ACL-RSI score, and activity level at mid-term follow-up. This study underlines the relationship between RTS and psychological effects, and the importance of ACLR rehabilitation to focus on decreasing apprehension and fear. Full article