Search Results (652)

Objective. This randomized controlled trial evaluated the efficacy of lavender–neroli oil aromatherapy in managing dental anxiety and pain in children undergoing inferior alveolar nerve block (IANB) anesthesia. Methods. Fifty-four children aged 6–11 years were randomly assigned to either a control group or an aromatherapy group. Children in the control group were asked to wear a regular scented-free nitrous oxide mask. Children in the control group were asked to wear a regular scented-free nitrous oxide mask. Children in the intervention group inhaled lavender–neroli oil via a nitrous oxide nasal mask for 5 min before and during IANB administration. Anxiety and pain levels were assessed pre-and post-treatment using the Facial Image Scale (FIS), Face–Legs–Activity–Cry–Consolability (FLACC) scale, and vital signs (heart rate, blood pressure, oxygen saturation). The collected data were statistically analyzed using SPSS software 20. The Mann–Whitney U test was used for analyzing FIS results, and the independent T test and T Paired test were used for analyzing heart rate, blood pressure, and oxygen saturation results. Results. Results demonstrated significantly lower anxiety, heart rate, blood pressure, and pain scores in the aromatherapy group compared to the control group (p < 0.05), with no significant change in oxygen saturation. Conclusions. Lavender–neroli aromatherapy is a safe, low-cost, and effective adjunct to reduce anxiety and discomfort during pediatric dental anesthesia. Full article

In response to contemporary challenges such as the COVID-19 pandemic, climate change, armed conflicts, and economic instability, healthcare systems worldwide are increasingly confronted with multifaceted and overlapping crises—collectively referred to as polycrisis. These interconnected threats amplify one another, placing unprecedented strain on healthcare infrastructure, governance, and equity. The COVID-19 pandemic alone led to an estimated 16.3 million missed hospitalizations in 2020 and 14.7 million in 2021, revealing systemic vulnerabilities and deepening social inequalities. Armed conflicts, such as in Syria and Gaza, have devastated healthcare access. In Gaza, by mid-2024, 85% of the population had been forcibly displaced, with only 17 of 36 hospitals partially functioning and over 885 healthcare workers killed. Climate change further exacerbates health burdens, with over 86% of urban residents globally exposed to harmful air pollution, contributing to 1.8 million deaths annually. This study introduces a novel perspective by applying social epidemiology to the analysis of polycrisis. While the existing literature often emphasizes political or economic dimensions, our approach highlights how overlapping crises affect population health, social vulnerability, and systemic resilience. By integrating sociodemographic and environmental data, social epidemiology supports crisis-resilient care models, targeted interventions, and equitable health policies. We argue for a stronger mandate to invest in data infrastructure, enhance surveillance, and embed social determinants into health system responses. Full article

The sustainability of bridge infrastructure is becoming increasingly important due to rising environmental, economic, and social demands. However, most current assessment models remain fragmented, often overlooking the social pillar, underutilizing risk integration across the lifecycle, and failing to fully leverage digital tools such as Building Information Modeling (BIM) and Life Cycle Sustainability Assessment (LCSA), resulting in incomplete sustainability evaluations. This study addresses these limitations by introducing a practical and adaptable model that integrates BIM, LCSA, and expert-driven risk prioritization. Five Hungarian bridge projects were modeled using Tekla Structures and analyzed in OpenLCA to quantify environmental, economic, and social performance. A custom Sustainability Level Change (SLC) algorithm was developed to compare baseline scenarios (equal weighting) with risk-informed alternatives, simulating the impact of targeted improvements. The results demonstrated that prioritizing high-risk sustainability indicators leads to measurable lifecycle gains, typically achieving SLC improvements between +2% and +6%. In critical cases, targeted enhancement scenarios, applying 5% and 10% improvements to top-ranked, high-risk indicators, pushed gains up to +12%. Even underperforming bridges exhibited performance enhancements when targeted actions were applied. The proposed framework is robust, standards-aligned, and methodologically adaptable to various bridge types and lifecycle phases through its data-driven architecture. It empowers infrastructure stakeholders to make more informed, risk-aware, and data-driven sustainability decisions, advancing best practices in bridge planning and evaluation. Compared to earlier tools that overlook risk dynamics and offer limited lifecycle coverage, this framework provides a more comprehensive, actionable, and multi-dimensional approach. Full article

In this study, a novel magnetic nanocatalyst based on tin ferrite (SnFe₂O₄) was synthesized via a chemical co-precipitation method and thoroughly characterized using XRD, SEM, TGA-DTG, BET, FTIR, and FTIR-pyridine techniques. The catalyst exhibited high crystallinity, a mesoporous structure with a specific surface area of 79.7 m²/g, and well-defined Lewis and Brønsted acid sites. Its catalytic performance was assessed in the esterification of glycerol with acetic acid to produce monoacetin (MAG), diacetin (DAG), and triacetin (TAG). A Box–Behnken experimental design was employed to evaluate the influence of temperature, catalyst loading, and the acetic-acid-to-glycerol molar ratio on product distribution and glycerol conversion. Statistical analysis and regression modeling revealed excellent predictive accuracy (R² > 0.99), confirming the robustness of the model. Optimal reaction conditions (110 °C, 2 wt.% catalyst, and AA/GLY ratio of 3.6) yielded a maximum glycerol conversion of 93.2% and a combined DAG and TAG yield of ~59.1%. These results demonstrate the high efficiency and selectivity of the synthesized SnFe₂O₄ catalyst, making it a promising candidate for sustainable glycerol valorization. Full article

Sperm count, motility, and morphology are semen parameters that directly affect male fertility. The presence of cytokines in seminal plasma negatively or positively influences these parameters. Interleukins and prostaglandins are proinflammatory cytokines present in human seminal plasma and play crucial roles in fertilization, in general and after intracytoplasmic sperm injection (ICSI) procedures. This study aimed to investigate the possible influence of interleukins IL-17 and IL-18, and prostaglandins PGE2 and PGF2α on male infertility. Semen samples were collected from 58 males who underwent the ICSI procedure. An enzyme-linked immunosorbent assay (ELISA) was used to determine the levels of IL-17, IL-18, PGE2, and PGF2α, and these concentrations were then correlated with semen parameters and the rate of fertilization. Furthermore, the chromatin integrity of the sperm was evaluated with an Acridine Orange (AO) assay. The results showed an inversely proportional relationship between the AO binding intensity and fertilization rate (r = −0.394; p ≤ 0.002). Furthermore, a negative correlation was observed between the IL-18 concentration and positive AO (p ≤ 0.021). Moreover, the IL-18 concentration was positively correlated with the fertilization rate (p ≤ 0.05). In contrast, IL-17 did not significantly correlate with any semen parameters or with the fertilization rate. Seminal PGE2 levels were significantly correlated with embryo cleavage at 72 h (p ≤ 0.05). To conclude, this study revealed that denaturation of sperm nuclear deoxyribonucleic acid (DNA) contributes to low fertilization rates. In addition, this study proposed a potential role for IL-18 in fertilization. PGE2 likely influences embryo development, but further studies are needed to examine the impact of seminal PGE2 on the oocyte to fully elucidate its contribution to this complex biological process. Full article

Free-space optical (FSO) communications have emerged as a promising complement to conventional radio-frequency (RF) systems due to their high bandwidth, low interference, and license-free spectrum. Visible-light FSO communication, using laser diodes or LEDs, offers potential for short-range data links, but performance is highly wavelength-dependent under varying atmospheric conditions. This study presents an experimental evaluation of three visible laser diodes at 650 nm (red), 532 nm (green), and 405 nm (violet), focusing on their optical output power, quantum efficiency, and modulation behavior across a range of driving currents and frequencies. A custom laboratory testbed was developed using an Atmega328p microcontroller and a Visual Basic control interface, allowing precise control of current and modulation frequency. A silicon photovoltaic cell was employed as the optical receiver and energy harvester. The results demonstrate that the 650 nm red laser consistently delivers the highest quantum efficiency and optical output, with stable performance across electrical and modulation parameters. These findings support the selection of 650 nm as the most energy-efficient and versatile wavelength for short-range, cost-effective visible-light FSO communication. This work provides experimentally grounded insights to guide wavelength selection in the development of energy-efficient optical wireless systems. Full article

The Alevis of Anatolia and the Balkans and the Alawites of Syria and southeastern Turkey are two distinct ethnoreligious communities frequently conflated in both media and scholarly literature, despite their divergent historical origins, theological differences, and varying sociocultural formations. While their shared histories of marginalization and persecution, certain theological parallels, and cognate ethnonyms contribute to this conflation, it largely stems from a broader tendency within mainstream Islamic frameworks to homogenize so-called heterodox communities without sufficient attention to their doctrinal and cultural specificities. This paper, grounded in a synthetic analysis of current scholarship, maps the key historical, theological, and sociocultural intersections and divergences between Alawite and Alevi communities. Situated within the broader framework of intra-Islamic diversity, it seeks to move beyond essentialist and homogenizing paradigms by foregrounding the distinct genealogies of each tradition, rooted, respectively, in the early pro-Alid movements of Iraq and Syria and in Anatolian Sufism. In addition, the study examines the communities’ overlapping political trajectories in the modern era, particularly their alignments with leftist and secular–nationalist currents, as well as their evolving relationship—from mutual unawareness to a recent political rapprochement—prompted by the growing existential threats posed by the rise of Sunni-Salafi Islamist movements. Full article

Nanotechnology is revolutionizing medicine by enabling highly precise diagnostics, targeted therapies, and personalized healthcare solutions. This review explores the multifaceted applications of nanotechnology across medical fields such as oncology and infectious disease control. Engineered nanoparticles (NPs), such as liposomes, polymeric carriers, and carbon-based nanomaterials, enhance drug solubility, protect therapeutic agents from degradation, and enable site-specific delivery, thereby reducing toxicity to healthy tissues. In diagnostics, nanosensors and contrast agents provide ultra-sensitive detection of biomarkers, supporting early diagnosis and real-time monitoring. Nanotechnology also contributes to regenerative medicine, antimicrobial therapies, wearable devices, and theranostics, which integrate treatment and diagnosis into unified systems. Advanced innovations such as nanobots and smart nanosystems further extend these capabilities, enabling responsive drug delivery and minimally invasive interventions. Despite its immense potential, nanomedicine faces challenges, including biocompatibility, environmental safety, manufacturing scalability, and regulatory oversight. Addressing these issues is essential for clinical translation and public acceptance. In summary, nanotechnology offers transformative tools that are reshaping medical diagnostics, therapeutics, and disease prevention. Through continued research and interdisciplinary collaboration, it holds the potential to significantly enhance treatment outcomes, reduce healthcare costs, and usher in a new era of precise and personalized medicine. Full article

The article provides an analysis of the geographic origins of Karaites in four areas where Karaite congregations were commonly found after the Middle Ages, namely, Arabic Middle East (territories of modern Iraq, Syria, Israel, and Egypt), Constantinople/Istanbul and its area, the Crimean Peninsula, and Eastern European territories belonging today to Lithuania and Ukraine. It combines available historical, onomastic, and linguistic data revealing the migrations of Karaites to and inside these regions. For the first two regions, no ambiguity exists about the roots of local Karaites. Their ancestors were Jews who adopted the Karaite version of Judaism. For the Crimean communities, various factors favor the hypothesis about the territories of the Byzantine Empire (which later became Ottoman), and more specifically, Constantinople and its area are the only major source for their development. The Karaite communities in such historical Eastern European provinces as Lithuania (properly speaking), Volhynia, and Red Ruthenia were created after migrations from Crimea to these territories. The article also discusses medieval, cultural, and potentially genetic links between Karaites and Rabbanite Jews in the areas in question. It also addresses one phonological feature, the sibilant confusion, shared by the Galician–Volhynian dialect of the Karaim language and the Lithuanian dialect of Yiddish. Full article

In the digital communication ecosystem, micro-influencers have influenced public response during crises, especially in complex geopolitical contexts. This paper introduces the micro-influencer impact model (MIIM), a framework for analyzing the impact of micro-influencers on crisis communication. The MIIM integrates four components (micro-influencer characteristics, message framing and delivery, audience factors, and crisis context) offering a comprehensive approach to understanding micro-influencer dynamics during crises. Cross-conflict analysis spanning Ukraine–Russia, Sudan–Ethiopia, Armenia–Azerbaijan, Myanmar, Syria, and India–Pakistan tensions demonstrates the MIIM’s broad applicability across diverse geopolitical crises, showing how factors like perceived authenticity, niche expertise, narrative personalization, and audience digital literacy consistently shape public opinion and crisis response. The MIIM synthesizes crisis communication theories, social influence models, and digital media research, providing a sophisticated framework for studying the dissemination of information and public engagement during crises. The paper proposes theoretically grounded propositions on the impact of micro-influencers, encompassing perceived authenticity, narrative framing, and influence over time, thereby laying the groundwork for future empirical research. Implications for communication scholars, crisis managers, policymakers, and social media platforms are discussed, emphasizing the MIIM’s relevance to theory and practice in crisis communication. Full article

Many bacteria, such as Pseudomonas aeruginosa, have encoded many toxins like RhsP2 that target non-coding RNAs (ncRNAs) in a similar mechanism to ART components; bacterial RNA loses its function of amino acid translation. A virtual screening approach was used to investigate RhsP2, which targets 16s rRNAs and then disrupts the translation of bacterial amino acids to proteins. Rifamycin is the bioreference as it forms a stable complex with the bacterial RNA in its active sites. Using different docking software can determine the best predicted conformations between RhsP2/16S and rRNA, and analyzing the docking score for both Affinity Binding and the root mean square deviation (RMSD) of particle coordinates helps choose the most appropriate drugs by using tools such as bioinformatics platforms and databases. Full article

Air pollution monitoring in ungauged zones presents unique challenges yet remains critical for understanding environmental health impacts and socioeconomic dynamics in the Eastern Mediterranean region. This study investigates air pollution patterns in northwestern Syria during 2019–2024, analyzing NO₂ and CO concentrations using Sentinel-5P TROPOMI satellite data processed through Google Earth Engine. Monthly concentration averages were examined across eight key locations using linear regression analysis to determine temporal trends, with Spearman’s rank correlation coefficients calculated between pollutant levels and five meteorological parameters (temperature, humidity, wind speed, atmospheric pressure, and precipitation) to determine the influence of political governance, economic conditions, and environmental sustainability factors on pollution dynamics. Quality assurance filtering retained only measurements with values ≥ 0.75, and statistical significance was assessed at a p < 0.05 level. The findings reveal distinctive spatiotemporal patterns that reflect the region’s complex political-economic landscape. NO₂ concentrations exhibited clear political signatures, with opposition-controlled territories showing upward trends (Al-Rai: 6.18 × 10⁻⁸ mol/m²) and weak correlations with climatic variables (<0.20), indicating consistent industrial operations. In contrast, government-controlled areas demonstrated significant downward trends (Hessia: −2.6 × 10⁻⁷ mol/m²) with stronger climate–pollutant correlations (0.30–0.45), reflecting the impact of economic sanctions on industrial activities. CO concentrations showed uniform downward trends across all locations regardless of political control. This study contributes significantly to multiple Sustainable Development Goals (SDGs), providing critical baseline data for SDG 3 (Health and Well-being), mapping urban pollution hotspots for SDG 11 (Sustainable Cities), demonstrating climate–pollution correlations for SDG 13 (Climate Action), revealing governance impacts on environmental patterns for SDG 16 (Peace and Justice), and developing transferable methodologies for SDG 17 (Partnerships). These findings underscore the importance of incorporating environmental safeguards into post-conflict reconstruction planning to ensure sustainable development. Full article

Adaptive reuse of Mediterranean earthen houses offers a unique opportunity to fuse heritage preservation with sustainable development. This study introduces a comprehensive, sustainability-driven framework that reimagines these vernacular structures as culturally rooted and socially inclusive assets for contemporary living. Moving beyond conventional restoration, the proposed framework integrates environmental, socio-cultural, and economic sustainability across six core dimensions: ecological performance and material conservation, respectful functional transformation, structural resilience, cultural continuity and community engagement, adaptive flexibility, and long-term economic viability. Four geographically and culturally diverse case studies—Alhambra in Spain, Ghadames in Libya, the UCCTEA Chamber of Architects Main Building in North Cyprus, and Sheikh Hilal Beehive Houses in Syria—serve as testbeds to examine how earthen heritage can be reactivated in sustainable and context-sensitive ways. Through qualitative analysis, including architectural surveys, visual documentation, and secondary data, the study identifies both embedded sustainable qualities and persistent barriers, such as structural fragility, regulatory constraints, and socio-economic disconnects. By synthesizing theoretical knowledge with real-world applications, the proposed framework offers a replicable model for policymakers, architects, and conservationists aiming to bridge tradition and innovation. This research highlights adaptive reuse as a practical and impactful strategy for extending the life of heritage buildings, enhancing environmental performance, and supporting community-centered cultural regeneration across the Mediterranean region. Full article

As streaming platforms adopt artificial intelligence (AI)-powered subtitle systems to satisfy global demand for instant localization, the cognitive impact of these automated translations on viewers remains largely unexplored. This study used a web-based eye-tracking protocol to compare the cognitive load that GPT-4o-generated Arabic subtitles impose with that of professional human translations among 82 native Arabic speakers who viewed a 10 min episode (“Syria”) from the BBC comedy drama series State of the Union. Participants were randomly assigned to view the same episode with either professionally produced Arabic subtitles (Amazon Prime’s human translations) or machine-generated GPT-4o Arabic subtitles. In a between-subjects design, with English proficiency entered as a moderator, we collected fixation count, mean fixation duration, gaze distribution, and attention concentration (K-coefficient) as indices of cognitive processing. GPT-4o subtitles raised cognitive load on every metric; viewers produced 48% more fixations in the subtitle area, recorded 56% longer fixation durations, and spent 81.5% more time reading the automated subtitles than the professional subtitles. The subtitle area K-coefficient tripled (0.10 to 0.30), a shift from ambient scanning to focal processing. Viewers with advanced English proficiency showed the largest disruptions, which indicates that higher linguistic competence increases sensitivity to subtle translation shortcomings. These results challenge claims that large language models (LLMs) lighten viewer burden; despite fluent surface quality, GPT-4o subtitles demand far more cognitive resources than expert human subtitles and therefore reinforce the need for human oversight in audiovisual translation (AVT) and media accessibility. Full article

In 2023, the VAS international working group on Buerger’s Disease (BD) recommended two diagnostic criteria based on a prior Delphi study: “definitive” and “suspected”. The “definitive” criteria are history of smoking, typical angiography, and typical histopathological features. All three features are mandatory to confirm a “definitive” diagnosis of BD. The conundrum is—what features should be considered typical of BD angiography? According to this review, segmental occlusion of infrapopliteal arteries, corkscrew collaterals that appear to continue the occluded arterial segment (Martorell’s sign) or bypass the segmental occlusion, absence of atherosclerotic plaque or aneurysm could differentiate BD from ASO. Hence, for “typical” BD angiography, these manifestations should certainly be considered. However, data for differentiating angiography patterns of BD from the small- and medium-sized vasculitis including Behcet’s disease, scleroderma, hepatitis associated vasculitis, and anti-phospholipid syndrome are limited. Further studies for investigating the angiography pattern in BD patients in early and late presentation of BD, particularly in the patients with long-term follow up, are highly recommended. Full article