Search Results (67)

This study investigates the state of the art related to the computational methods for solar cells. Numerical modeling is a basic pillar that is used to ensure the robust design of any device. In this paper, the results of a detailed science mapping-based analysis on the publications that focus on the “numerical modelling of solar cells” are presented. The query was conducted on the Web of Science for 2014–2024, and a subsequent filtering was performed. The results of this analysis provided the answers to the five research questions posed. The paper has been divided into two parts. In the first part, the literature search began with a broad examination, and 3259 studies were included in the analysis. To present the results in a visual form, graphs created using VOS viewer software have been used to identify the pattern of co-authorship, the geographical distribution of the authors, and the keywords most frequently used. In the second part, the analysis focused on three main aspects: (i) the influence of absorber layer thickness on optical absorption and device efficiency, (ii) the role of different ETL/HTL materials in charge transport, and (iii) the effect of illumination conditions on carrier dynamics and photovoltaic performance. By integrating the results across these dimensions, the study provides a comprehensive understanding of how these parameters collectively determine the efficiency and reliability of perovskite solar cells. Full article

Background: Radiofrequency ablation (RFA) and cryoanalgesia are minimally invasive procedures used when conservative medical management fails and there are positive diagnostic blocks. Although both radiofrequency ablation (RFA) and cryoanalgesia are straightforward techniques, the increasing workload of physicians is leading to less time available for patient interaction, including addressing questions about indications, feasibility, long-term effectiveness, and potential complications. Generative artificial intelligence (AI) chatbots, such as ChatGPT, have the potential to reduce physician burden and enhance patient education. Methods: An expert panel compiled thirteen frequently asked questions about RFA and cryoanalgesia, which were subsequently submitted to ChatGPT-4.0. The AI-generated responses were evaluated by 41 participants, including pain physicians, healthcare professionals, and non-healthcare individuals. The Likert scale was used for evaluating the responses, focusing on reliability, accuracy, and comprehensibility using predefined acceptability thresholds. Results: Across all 13 questions, ChatGPT’s responses demonstrated high overall reliability, with a mean score of 4.9 ± 0.7. The mean accuracy score was 2.6 ± 0.3, suggesting alignment with evidence-based standards. Comprehensibility was rated at 2.7 ± 0.2 on average. Pre-procedural questions achieved the highest scores, while post-procedural questions posed more challenges for ChatGPT. Conclusions: ChatGPT demonstrated potential as an adjunct tool for patient education on RFA and cryoanalgesia. Improvements in procedural specificity and medical accuracy are needed before routine clinical implementation. Full article

In this perspective, we discuss the limitations of medical guidelines as it relates to the management of uncommon invasive fungal infections (IFIs) or infrequent manifestations of more common IFIs. We emphasize the difficulties to define “gold standards” for diagnostics and treatment based on limited and low-quality evidence. We posit that such “guidelines” based on scarce data may be suboptimal and could be in some cases even harmful. Specifically, guidelines are often seen as rigid rules to follow which can prevent a critical examination of the nuanced management of individual patients with rare IFIs. We also emphasize that guidelines are often not updated frequently enough and therefore may not reflect the current treatment landscape. For all those reasons, we suggest that the term “guidance” may be more appropriate than “guidelines” for rare IFIs. Finally, we pose several questions regarding constructing future “Guidelines”/“Guidance for such entities”. Full article

Background/Objectives: This study aimed to systematically evaluate the accuracy and clinical relevance of ChatGPT-4’s answers to a set of questions on upper tract urothelial carcinoma (UTUC) as adjudged by expert urologists. To juxtapose performance, one question set consisted of queries derived from the 2025 EAU (European Association of Urology) guidelines, and the other was a miscellaneous set of frequently asked patient-oriented questions. Methods: Seventy-seven questions were posed to ChatGPT-4 in English: 60 were systematically selected from the 2025 EAU UTUC guidelines, and 17 were compiled as frequently asked questions (FAQs) from reputable urology sources. Two board-certified urologists independently scored the given responses, employing (a) binary scoring (correct = 1, incorrect = 0) and (b) detailed accuracy scoring (1 = completely accurate, 2 = accurate but inadequate, 3 = mixed accurate–misleading, 4 = completely inaccurate). Comparative analyses used the Mann–Whitney U test with effect size estimation. Results: Overall, 71 of 77 responses (92.2%) were correct. Accuracy rates were 90.0% (54/60) for EAU guideline questions and 100.0% (17/17) for the FAQs. The mean accuracy score for the guideline-based questions was 1.28 ± 0.74, compared with 1.00 ± 0.00 for the FAQs. Differences between the groups were not statistically significant (p = 0.094, r = 0.191). A subgroup analysis showed perfect accuracy (100%) in four EAU categories—Classification and Staging Systems, Diagnosis, Disease Management, and Metastatic Disease Management—while the Follow-up category had the lowest accuracy (25% correct, mean score = 2.75), indicating domain-specific limitations. Conclusions: ChatGPT-4 demonstrated high overall accuracy, particularly for patient-oriented UTUC questions, but showed reduced reliability in complex, guideline-specific areas, especially follow-up protocols. The model shows promise as an educational tool for patients but cannot replace expert clinical judgment for decision-making. These findings have important implications for the integration of AI tools in urological practice and highlight the need for domain-specific optimization. Full article

Background/Objectives: Autism spectrum disorder (ASD) is frequently associated with self-injurious behaviors, posing significant risks to individuals and considerable challenges for families and professionals. While various interventions have been proposed, evidence regarding their relative effectiveness remains fragmented. The general aim of this study was to perform a narrative review to analyze effective non-pharmacological interventions targeting self-injurious behaviors (SIBs) in autistic children and adolescents, addressing the following research question: Which non-pharmacological interventions are effective in reducing self-injurious behaviors in autistic children and adolescents, and under what conditions? The review focused on identifying treatment types, contexts of implementation, and outcome efficacy. Methods: This review was conducted based on a search in WoS, SCOPUS and PubMed databases. According to the PICOS criteria, we included studies involving children and adolescents with ASD and interventions for self-injurious behaviors. We compared different types of interventions and evaluated outcomes in terms of reduction in SIBs. Eligible studies were those reporting quantitative or qualitative outcomes on SIB interventions, published within the past 10 years. Results: Thirteen studies met the inclusion criteria. The interventions included applied behavior analysis (ABA), cognitive behavioral therapy (CBT), sensory integration therapy, and pharmacology. The reported outcomes generally indicated reductions in the frequency and severity of self-injurious behaviors. However, many studies lacked long-term follow-up data, and few addressed the generalization of treatment effects. Methodological variability limited both the comparability across studies and the generalization of results. Conclusions: This review emphasized a multidisciplinary, individualized approach to treating self-injurious behaviors in autistic youth. ABA emerged as the most effective intervention, while CBT proved beneficial for higher-functioning adolescents, and sensory therapies addressed specific challenges. Combined treatments showed promise, and family involvement and long-term research remain essential. Full article

Civil aviation airworthiness regulations are the fundamental basis for the design and operational safety of aircraft. Their provisions exhibit a high degree of specialization, cross-disciplinary complexity, and hierarchical structure. Moreover, the regulations are frequently updated, posing unique challenges for automated question-answering systems. While large language models (LLMs) have demonstrated remarkable capabilities in dialog and reasoning; however, they still face challenges such as difficulties in knowledge updating and a scarcity of high-quality domain-specific datasets when tackling knowledge-intensive tasks in the field of civil aviation regulations. This study introduces a retrieval-augmented generation (RAG) approach that integrates retrieval modules with generative models to enable more efficient knowledge acquisition and updating, encompassing data processing and retrieval-based reasoning. The data processing stage comprises document conversion, information extraction, and document parsing modules. Additionally, a high-quality airworthiness regulation QA dataset was specifically constructed, covering multiple-choice, true/false, and fill-in-the-blank questions, with a total of 4688 entries. The retrieval-based reasoning stage employs vector search and re-ranking strategies, combined with prompt optimization, to enhance the model’s reasoning capabilities in specific airworthiness certification regulation comprehension tasks. A series of experiments demonstrate the effectiveness of the retrieval-augmented generation approach in this domain, significantly improving answer accuracy and retrieval hit rates. Full article

Fruit flies that belong to the genus Zeugodacus (Diptera: Tephritidae) pose significant threats as invasive pests of agricultural crops in Asia and sub-Saharan Africa. The intensification of transboundary trade in fresh horticultural produce has increased the risk of introducing invasive species such as fruit flies, more so through the inadvertent transport of their immature developmental stages. Such immature stages of fruit flies belonging to the Tephritidae family are frequently intercepted at the international borders worldwide and are unable to be identified to the species level using morphological characteristics. Molecular identification using mitochondrial Cytochrome Oxidase I (COI) gene has proven to be quite useful, as they are not constrained by developmental stages, sex, or colour morphs of the pest species in question. Also, real-time PCR-based species-specific assays offer quicker turnaround time since they do not require any post-PCR procedures. This study evaluated the utility of a real-time PCR assay based on the COI gene region to identify Zeugodacus cucurbitae from other Tephritid species. The developed real-time PCR assay provides a swift and precise way of discriminating between these highly invasive pest species during an interception event for rapid decision making. High specificity, having no cross-reactions with closely related Tephritids, and sensitivity of the developed assay will be extremely useful in discriminating Z. cucurbitae from other closely related fruit fly species. Z. cucurbitae-specific real-time PCR developed in this study is appropriate for organizations that carry out routine diagnostics to facilitate fresh produce imports and exports. Our assay is fully optimized for rapid deployment at international borders, offering reliable detection of the target species regardless of developmental stage, sex, or geographic origins. Full article

Background and Objectives: Chronic wounds pose a significant challenge to healthcare systems, requiring long-term management and multidisciplinary approaches. The absence of a standardized national therapeutic protocol in Romania has resulted in inconsistent clinical practices, which in turn affect treatment efficacy and patient outcomes. The implementation of structured guidelines and the integration of regenerative therapies could enhance the management of chronic wounds. Materials and Methods: This study employs a cross-sectional observational design to assess the current management strategies among physicians treating chronic wounds and to identify variations in treatment approaches. A 37-question questionnaire was distributed among plastic surgeons, general surgeons, vascular surgeons, and dermatologists via Google Forms. The data collection period spanned one month, resulting in a total of 240 responses from medical centers in Bucharest, Romania. Results: The study found that most physicians treated several cases per week (40.8%) of delayed healing wounds, with the most frequent types being bedsores (57.5%) and diabetic (58.3%) or venous ulcers (55%). Challenges in wound care included patient reluctance, financial constraints, and the psychological burden on caregivers. The most relevant decision factor for surgical treatment was wound stage (86.7%). Most physicians used an initial conservative approach in wound care (52.5%) or did not have a standard approach (44.2%). Around a quarter of respondents (25.8%) used PRP as a treatment method, considering it to have moderate effectiveness (51.6%). The most important factor for encouraging PRP usage was having the necessary equipment for the procedure (72.5%). The most frequently considered benefit in the case of implementing a treatment protocol was increased treatment efficacy (62.5%). Physicians were also highly interested in the use of a standardized treatment protocol (40%). Approximately 41.7% of the physicians expressed a very high interest in having a standardized diagnostic system for chronic wounds. Conclusions: This study highlights that wound care practices remain variable and that the decision-making process is often challenging. There is a moderate belief in the effectiveness of PRP, suggesting that logistical barriers need to be addressed to facilitate access to it. Therapeutic protocols were seen as key to improving care efficacy and consistency, therefore pressing the need for national strategies that support protocol development. Full article

Molar Incisor Hypomineralization (MIH) is a common dental condition that affects the mineralization of the enamel, primarily affecting the first permanent molars and often the incisors. This condition can lead to a wide range of clinical presentations, from mild opacities to severe post-eruptive breakdown, which can significantly impact a child’s oral health and quality of life. Background/Objectives: The prevalence and complex management of MIH have posed a significant challenge for dental practitioners. Our preceding investigation found that 14.3% of school-aged children have MIH. Based on this finding, we wanted to understand what other Romanian dental professionals think about this condition. Therefore, the aim of the present study was to assess the awareness, perception, and clinical management approaches of Romanian dentists toward MIH in order to inform future educational strategies and contribute to the development of dedicated preventive programs. Methods: To gain a comprehensive understanding of MIH in actual clinical settings, we developed and administered a questionnaire consisting of three distinct sections. Our objective was to capture the collective knowledge and perspectives of dental practitioners. We distributed the survey, which included 14 pertinent questions, to a large professional group of Romanian dentists. Results: This study collected responses from 219 Romanian dental practitioners (median age: 34 years) about their experiences with MIH. The vast majority (86.76%) had encountered MIH cases in their practice, with half reporting moderate prevalence among their patients. The most frequently observed complications were hypersensitivity (41.95%), pulp exposure (33.33%), and failed restorations (24.71%). While adhesive restorations were identified as the overall preferred treatment approach (70.00%), notable differences emerged in both clinical complications encountered and therapeutic approaches implemented across dental specialties. There was near-unanimous agreement on the importance of early MIH diagnosis (99.09%), and almost all participants (98.63%) expressed a desire for more information about this condition, demonstrating high awareness and concern about MIH among Romanian dental professionals. Conclusions: This study highlights that general dentists, endodontists, and pedodontists encounter MIH patients frequently in their practice, emphasizing the critical need to enhance awareness and education about MIH among both dental professionals and the general public. Full article

Objectives: Prolonged disorders of consciousness (DoC) present complex diagnostic and therapeutic challenges. This study aimed to evaluate the accuracy of two ChatGPT models (ChatGPT 4o and ChatGPT o1) in answering questions about prolonged DoC, framed as if they were posed by a patient’s relative. Secondary objectives included comparing performance across languages (English vs. Italian) and assessing whether responses conveyed an empathetic tone. Methods: Fifty-seven open-ended questions reflecting common caregiver concerns were generated in both English and Italian, each categorized into one of three domains: clinical data, instrumental diagnostics, or therapy. Each question contained a background context followed by a specific query and was submitted once to both models. Two reviewers evaluated the responses on a four-point scale, ranging from “incorrect and potentially misleading” to “correct and complete”. Discrepancies were resolved by a third reviewer. Accuracy, language differences, empathy, and recommendation to consult a healthcare professional were analyzed using absolute frequencies, percentages, the Mann–Whitney U test, and Chi-squared tests. Results: A total of 228 responses were analyzed. Both models provided predominantly correct answers (80.7–96.8%), with English responses achieving higher accuracy only for ChatGPT 4o on clinical data. ChatGPT 4o exhibited greater empathy in its responses, whereas ChatGPT o1 more frequently recommended consulting a healthcare professional in Italian. Conclusions: Both ChatGPT models demonstrated high accuracy in addressing prolonged DoC queries, highlighting their potential usefulness for caregiver support. However, occasional inaccuracies emphasize the importance of verifying chatbot-generated information with professional medical advice. Full article

Post-harvest fungicides are frequently used on citrus peels to reduce post-harvest fungal contamination during the storage and transport of products. Despite these positive effects, fungicides can pose health risks to consumers. The aim of our study was to perform a genotoxicological risk assessment of imazalil, pyrimethanil, thiabendazole and their mixtures used as post-harvest treatments. A Salmonella mutagenicity Ames test and comet assay were performed to detect reverse mutation and assess DNA damage. Base-pair, frameshift mutations and metabolic activity were analyzed using the Ames test. In the comet assay, lymphocytes were treated with fungicides for 4 and 24 h. Thiabendazole was found to induce both frameshift and base-pair mutations in the Ames test despite the mutagenicity of both imzalil and pyrimethanil (p < 0.05). DNA-strand breaks were observed in lymphocytes, mainly with dimethyl-sulfoxide solvent fungicides (p < 0.05). The long-term exposure and consumption of fruits and vegetables treated with fungicides can increase the risks of developing genotoxic tumors. Our findings raise new questions about the health risks of fungicides and their mixtures to consumers. Further investigations are essential to explore the genotoxicological effects of fungicides on citrus peels. Full article

Background: Sarcopenia, an age-related decline in muscle mass and function, poses significant health risks. While AI tools like ChatGPT-4 (ChatGPT-4o) are increasingly used in healthcare, their accuracy in addressing sarcopenia remains unclear. Methods: ChatGPT-4’s responses to 20 frequently asked sarcopenia-related questions were evaluated by 34 experts using a four-criterion scale (relevance, accuracy, clarity, Ccmpleteness). Responses were rated from 1 (low) to 5 (high), and interrater reliability was assessed via intraclass correlation coefficient (ICC). Results: ChatGPT-4 received consistently high median scores (5.0), with ≥90% of evaluators rating responses ≥4. Relevance had the highest mean score (4.7 ± 0.5), followed by accuracy (4.6 ± 0.6), clarity (4.6 ± 0.6), and completeness (4.6 ± 0.7). ICC analysis showed poor agreement (0.416), with Completeness displaying moderate agreement (0.569). Conclusions: ChatGPT-4 provides highly relevant and structured responses but with variability in accuracy and clarity. While it shows potential for patient education, expert oversight remains essential to ensure clinical validity. Future studies should explore patient-specific data integration and AI comparisons to refine its role in sarcopenia management. Full article

ChatGPT (Chat-Generative Pre-trained Transformer) is an accessible and innovative tool for obtaining healthcare information. This study evaluates the quality and reliability of information provided by ChatGPT 4.0^® regarding Obstructive Sleep Apnea (OSA), comparing it with responses from sleep medicine specialists. Thirty frequently asked questions about OSA were posed to ChatGPT 4.0^® and two expert physicians. Responses from both sources (V1: AI and V2: Medical Experts) were blindly evaluated by a panel of six specialists using a five-point Likert scale across precision, relevance, and depth dimensions. The AI-generated responses (V1) achieved a slightly higher overall score compared to those from medical experts (V2), although the difference was not statistically significant (p > 0.08). These results suggest that both sources offer comparable quality and content. Additionally, ChatGPT’s responses were clear and easily understandable, providing an accessible explanation of OSA pathology. Full article

Background: Chatbots based on artificial intelligence (AI) and machine learning are rapidly growing in popularity. Patients may use these technologies to ask questions regarding surgical interventions, preoperative assessments, and postoperative outcomes. The aim of this study was to determine whether ChatGPT could appropriately answer some of the most frequently asked questions posed by patients about lung cancer surgery. Methods: Sixteen frequently asked questions about lung cancer surgery were asked to the chatbot in one conversation, without follow-up questions or repetition of the same questions. Each answer was evaluated for appropriateness and accuracy using an evidence-based approach by a panel of specialists with relevant clinical experience. The responses were assessed using a four-point Likert scale (i.e., “strongly agree, satisfactory”, “agree, requires minimal clarification”, “disagree, requires moderate clarification”, and “strongly disagree, requires substantial clarification”). Results: All answers provided by the chatbot were judged to be satisfactory, evidence-based, and generally unbiased overall, seldomly requiring minimal clarification. Moreover, information was delivered in a language deemed easy-to-read and comprehensible to most patients. Conclusions: ChatGPT could effectively provide evidence-based answers to the most commonly asked questions about lung cancer surgery. The chatbot presented information in a language considered understandable by most patients. Therefore, this resource may be a valuable adjunctive tool for preoperative patient education. Full article

During group activities, instructors expect that students will ask each other questions. Therefore, in this study, we looked at the nature and role of peer-to-peer questions during an in-class activity. During the activity, students worked collaboratively to respond to five prompts about an acid–base neutralization reaction. We examined the questioning behavior in groups and the nature and types of questions asked. We then looked specifically at the content questions, analyzing how they varied by prompt, as well as the level of those content questions using Bloom’s taxonomy. Finally, we looked at the role that the peer-to-peer questions played as the students completed the activity. The results revealed that the students broadly asked each other social questions, process questions, and content questions, with content questions being the most frequently posed. The prompts that required students to make a prediction, sketch a graph, and explain their reasoning elicited most of the content questions asked. Furthermore, most of the peer-to-peer content questions asked across the five prompts ranked at the two lowest levels of Bloom’s taxonomy. Finally, the posed peer-to-peer questions were found to play many roles in the discussion, including initiating and sustaining conversations, seeking consensus, challenging each other, and promoting social metacognition. The implications for instruction and research are discussed. Full article