Search Results (615)

The construction industry remains among the most hazardous sectors globally, facing persistent safety challenges despite advancements in occupational health and safety OHS) measures. The objective of this study is to systematically analyze the use of Artificial Intelligence (AI) in construction safety management and to identify the most effective techniques, data modalities, and validation practices. The method involved a systematic review of 122 peer-reviewed studies published between 2016 and 2025 and retrieved from major academic databases. The selected studies were classified by AI technologies including Machine Learning (ML), Deep Learning (DL), Computer Vision (CV), Natural Language Processing (NLP), and the Internet of Things (IoT), and by their applications in real-time hazard detection, predictive analytics, and automated compliance monitoring. The results show that DL and CV models, particularly Convolutional Neural Network (CNN) and You Only Look Once (YOLO)-based frameworks, are the most frequently implemented for personal protective equipment recognition and proximity monitoring, while ML approaches such as Support Vector Machines (SVM) and ensemble algorithms perform effectively on structured and sensor-based data. Major challenges identified include data quality, generalizability, interpretability, privacy, and integration with existing workflows. The paper concludes that explainable, scalable, and user-centric AI integrated with Building Information Modeling (BIM), Augmented Reality (AR) or Virtual Reality (VR), and wearable technologies is essential to enhance safety performance and achieve sustainable digital transformation in construction environments. Full article

Retinal ischemia is a key factor in the progression of vision-threatening ocular diseases, including central retinal artery/vein occlusion, exudative age-related macular degeneration (eAMD), and proliferative diabetic retinopathy. This study investigates the effects of paeoniflorin along with its related neuroprotective molecular pathways in the treatment of retinal ischemia. Free radical or ischemic-like damage was induced by incubating retinal pigment epithelium (RPE) cells for 24 h with 1 mM hydrogen peroxide (H₂O₂) or by subjecting retinal neuronal cells to 8 h of oxygen–glucose deprivation (OGD). Both treatments caused significant cell loss. Treatment with paeoniflorin significantly increased cell viability at 0.5 mM in both cell types. In a Wistar rat model of retinal ischemia and reperfusion (I/R) elicited by sustained high intraocular pressure (HIOP), pre-treatment with 0.5 mM paeoniflorin mitigated the ischemia-induced decline in ERG b-wave amplitude, reduction in whole and inner retinal thickness, loss of fluorogold-labeled retinal ganglion cells, and formation of apoptotic cells. Meanwhile, paeoniflorin effectively downregulated pro-neovascular mediators β-catenin, hypoxia-inducible factor 1-alpha (HIF-1α), vascular endothelial growth factor (VEGF), and the pro-inflammatory/angiogenic biomarker angiopoietin-2 (Ang-2), producing effects similar to the Wnt/β-catenin inhibitor (dickkopf-related protein 1), anti-angiogenic pigment epithelium-derived factor (PEDF), and anti-VEGF Avastin (bevacizumab). These findings suggest that paeoniflorin may protect against retinal ischemia through its anti-inflammatory, anti-neovascular/angiogenic, antioxidative, and neuroprotective properties. Full article

Background and Objectives: Computer Vision Syndrome (CVS) has become a major health problem among university students as a result of extensive electronic device use, but there is limited in-depth risk factor analysis by academic disciplines. The purpose of this study was to determine CVS prevalence, identify risk-associated factors, and investigate discipline-specific differences among university students. Methods: A cross-sectional study was conducted at Jazan University among 427 students of six academic disciplines between 2023 and 2024. Questionnaires validated by collecting demographics, electronic device usage patterns, eye care practices, and CVS symptoms were used to assess the data. Statistical analyses involved chi-square tests and multivariable logistic regression with significance at p < 0.05. Results: Prevalence of CVS was at epidemic proportions at 89.7% (95% CI: 86.8–92.6%), which was much higher than global averages. Considerable inter-disciplinary heterogeneity occurred, from 95.3% in Computer Science to 75.4% in Arts and Humanities students. A strong dose–response gradient was found for duration of device use: 3–4 h (OR = 4.13, 95% CI: 1.13–5.57), 5–6 h (OR = 5.31, 95% CI: 1.46–9.86), and ≥7 h per day (OR = 6.25, 95% CI: 1.74–8.01) versus 1–2 h use. Students >24 years old demonstrated a very high risk (OR = 9.73, 95% CI: 1.53–19.65). Headaches were the most common symptom (68.0%), and adoption of protective measures was low. Conclusions: This work demonstrates epidemic-level prevalence of CVS with unequivocal dose–response relationships and discipline-specific risk patterns, offering evidence-based targets for immediate campus-wide interventions and identifying a vital post-pandemic public health challenge meriting immediate attention. Full article

This study investigates the internal governance mechanisms of sustainability and their influence on corporate environmental performance (CEP) from 2014 to 2021 in Saudi Arabia. The analysis centers on three primary mechanisms: the presence of a sustainability committee, issuance of sustainability reports, and external assurance of these reports. Utilizing a sample of 188 firm-year observations from publicly listed companies, we evaluate each mechanism and their combined effect as predictors of CEP through ordinary least squares (OLS) regression analysis. We constructed a composite index of sustainability governance practices to assess the overall governance strength of the firm, referred to as the sustainability index. Our findings indicate that, while sustainability external assurance is positively associated with CEP, it is statistically insignificant. By contrast, the positive correlations of sustainability committees and sustainability reports with CEP were significant. The overall sustainable mechanisms’ composite index in the regression positively influences corporate environmental performance. This suggests that the composite sustainability index is more effective than individual sustainability mechanisms because of its complementary functions. This study aims to advance theories related to emerging markets in which institutional arrangements and stakeholder demands differ from those in developed countries. These results emphasize on the importance of corporate boards and policymakers in establishing dedicated sustainability committees, enhancing reporting quality, and integrating various governance systems to improve environmental performance which, in turn, promote responsible corporate behavior and ensure accountability towards environmental protection and sustainable development. This aligns with Saudi Arabia’s Vision 2030 and the Sustainable Development Goals, specifically Goals 12 and 13. Full article

Cannabinoids, compounds that interact with the endocannabinoid system, have shown promising neuroprotective effects in various neurodegenerative diseases, including those affecting the retina. This review evaluates evidence for the presence and action of cannabinoids in the retina, their function in protecting against oxidative stress and modulating neuroinflammation, and the outcomes observed in animal models of retinal diseases such as glaucoma and age-related macular degeneration (AMD), the most common causes of vision loss. Cannabinoids have proven effective in reducing the neurodegeneration seen in these eye diseases, acting via the CB1 and CB2 cannabinoid receptors. The cannabinoid neuroprotective effect is often of a similar magnitude to the other proven therapy of medical dosage of vitamins, though it confers a greater risk due to neurotoxicity with high THC:CBD ratios, making the vitamin therapy of greater efficacy when time is available. Given the increased ratio of THC:CBD in commercial cannabis strains, rising from 10:1 at the beginning of this century to 100:1 now, the risk of neurotoxicity has increased, reducing the neuroprotective benefit. The proven safety and efficacy of vitamin therapy may be a more viable neuroprotective method than cannabinoid use for chronic conditions, with cannabinoids proving their utility in more acute conditions. This review evaluates both the method of action of cannabinoids and the receptor pathway utilized and compares the suggested therapeutic applicability of cannabinoids with proven vitamin therapy. Full article

Habitat complexity plays a critical role in coral reef ecosystems by enhancing habitat availability, increasing ecological resilience, and offering coastal protection. Structure-from-motion (SfM) photogrammetry has become a standard approach for quantifying habitat complexity in reef monitoring programs. However, a major bottleneck remains in the two-dimensional (2D) classification of benthic cover in three-dimensional (3D) models, where experts are required to manually annotate individual colonies and identify coral species or taxonomic groups. With recent advances in deep learning and computer vision, automated classification of benthic habitats is possible. While some semi-automated tools exist, they are often limited in scope or do not provide semantic segmentation. In this investigation, we trained a convolutional neural network with the ResNet101 architecture on three years (2015, 2017, and 2019) of human-annotated 2D orthomosaics from Kiritimati, Kiribati. Our model accuracy ranged from 71% to 95%, with an overall accuracy of 84% and a mean intersection of union of 0.82, despite highly imbalanced training data, and it demonstrated successful generalizability when applied to new, untrained 2023 plots. Successful automation depends on training data that captures local ecological variation. As coral monitoring efforts move toward standardized workflows, locally developed models will be key to achieving fully automated, high-resolution classification of benthic communities across diverse reef environments. Full article

On construction sites, it is crucial and and in most cases mandatory to wear safety equipment such as helmets, safety shoes, vests, and belts. The most important of these is the helmet, as it protects against head injuries and can also serve as a marker for detecting and tracking workers, since a helmet is typically visible to cameras on construction sites. Checking helmet usage, however, is a labor-intensive and time-consuming process. A lot of work has been conducted on detecting and tracking people. Some studies have involved hardware-based systems that require batteries and are often perceived as intrusive by workers, while others have focused on vision-based methods. The aim of this work is not only to detect workers and helmets, but also to identify workers through labeled helmets using symbol detection methods. Person and helmet detection tasks were handled by training existing datasets and gained accurate results. For symbol detection, 14 different shapes were selected and put on helmets in a triple format side by side. A total of 11,243 images have been annotated. YOLOv5 and YOLOv8 were used to train the dataset and obtain models. The results show that both methods achieved high precision and recall. However, YOLOv5 slightly outperformed YOLOv8 in real-time identification tests, correctly detecting the helmet symbols. A testing dataset containing different distances was generated in order to measure accuracy by distance. According to the results, accurate identification was achieved at distances of up to 10 meters. Also, a location-based symbol-ordering algorithm is proposed. Since symbol detection does not follow any order and works with confidence values in the inference mode, a left to right approach is followed. Full article

This paper examines the theological, historical, and sociopolitical contours of American nationalism through a comparative study of Roman Catholics and Native Americans—two groups historically positioned as outsiders to the United States’ national self-conception, but into which Catholicism has successfully entered. It enquires into this success by establishing that American nationalism possesses a tripartite logic: (1) selective racial and religious superiority, (2) economic and military success read as divine blessing; and (3) advancing a teleological mission of global salvation. While white Roman Catholics were once viewed as anti-messianic threats, they eventually achieved integration by finding common enemies and warring to protect the American project and hierarchies, while Native Americans, by contrast, remain largely excluded, their presence disrupting foundational myths of nationalism. To evaluate this phenomena, Catholic Social Teaching (CST) is deployed, using the principles of human dignity, solidarity, and subsidiarity to critique nationalism’s pillars of race, wealth, and militarism with a vision of the universal common good. In doing so, CST challenges any theological justification for exceptionalism, reclaims a global moral horizon, and refuses the role that Catholicism might play in US—or any—nationalisms. Full article

This review systematically compiles and evaluates current research on the ethnopharmacology, phytochemistry, pharmacological effects, and the clinical potential of plants of the genus Ribes L. Ribes species have long been used in traditional medicine for cardiovascular diseases, hepatitis, gastrointestinal ailments, hyperlipidemia, and detoxification, owing to their rich content of phenolic glycosides, flavonoids, proanthocyanidins, and polysaccharides. We analyze data from in vitro, in vivo, and clinical studies, focusing on antioxidant, anti-inflammatory, antibacterial, antiviral, antitumor, and vision-protective properties of extracts and isolated compounds. Particular attention is given to R. nigrum, a species recognized in French and British pharmacopeias for its antioxidant, anti-inflammatory, antimicrobial, and immunomodulatory properties. Our synthesis reveals significant gaps: many Ribes spp. remain poorly characterized chemically; toxicology and pharmacokinetics are seldom studied; clinical trials are limited in number and rigor. We propose that future research should prioritize the comprehensive metabolomic and chemoprofiling of understudied Ribes species; standardized safety and dosage studies; the elucidation of absorption, distribution, metabolism, and excretion (ADME) of key bioactives; and well-designed randomized clinical trials to validate traditional uses and establish therapeutic efficacy. Our review demonstrates that Ribes spp. are promising sources for novel phytopharmaceutical agents and functional foods, but that translational and regulatory research is essential to move from traditional claims toward evidence-based medical applications. Full article

Artificial intelligence (AI) is profoundly transforming heritage tourism through the incorporation of technological solutions that reconfigure the ways in which cultural heritage is conserved, interpreted, and experienced. This article presents a critical and systematic review of current AI applications in this field, with a special focus on their impact on destination management, the personalization of tourist experiences, universal accessibility, and the preservation of both tangible and intangible assets. Based on an analysis of the scientific literature and international use cases, key technologies such as machine learning, computer vision, generative models, and recommendation systems are identified. These tools enable everything from the virtual reconstruction of historical sites to the development of intelligent cultural assistants and adaptive tours, improving the visitor experience and promoting inclusion. This study also examines the main ethical, technical, and epistemological challenges associated with this transformation, including algorithmic surveillance, data protection, interoperability between platforms, the digital divide, and the reconfiguration of heritage knowledge production processes. In conclusion, this study argues that AI, when implemented in accordance with principles of responsibility, sustainability, and cultural sensitivity, can serve as a strategic instrument for ensuring the accessibility, representativeness, and social relevance of cultural heritage in the digital age. However, its effective integration necessitates the development of sector-specific ethical frameworks, inclusive governance models, and sustainable technological implementation strategies that promote equity, community participation, and long-term viability. Furthermore, this article highlights the need for empirical research to assess the actual impact of these technologies and for the creation of indicators to evaluate their effectiveness, fairness, and contribution to the Sustainable Development Goals. Full article

Highway culverts are essential components of transportation infrastructure, designed to convey water beneath highways and protect embankments from flooding. However, extreme flood events often impose hydraulic loads, overtopping, and debris accumulation that can trigger erosion, scour, blockage, and in severe cases, catastrophic washout. This paper presents a comprehensive review of highway culvert behavior under flooding conditions, integrating insights from hydraulics, geotechnical engineering, and structural performance. The review is organized around four themes: (1) types of flooding and their interactions with culverts; (2) hydraulic performance during flood events; (3) common failure modes, including scour, debris blockage, and structural instability; and (4) mitigation strategies to enhance resilience. Advances in hydraulic modeling, including 1D, 2D, 3D, and CFD approaches, are summarized, with attention to their accuracy, applicability limits, and validation needs. Representative experimental, numerical, and empirical studies are grouped by common properties to highlight key findings and constraints. Finally, emerging research opportunities are discussed, including the need for quantitative relationships between culvert geometry and flood intensity, methods to assess structural capacity loss during flooding, and the integration of artificial intelligence and computer vision for rapid post-flood inspection. This synthesis establishes a foundation for more robust evaluation, design, and maintenance strategies, supporting the long-term resilience of highway culverts in an era of increasingly frequent and severe floods. Full article

Dry eye disease (DED) is a multifactorial ocular surface disorder that significantly affects vision and quality of life. While artificial tears are the standard first-line therapy, their effectiveness is limited by the complex pathophysiology of DED. This study evaluated DayDrop^® Triple Action, a novel formulation combining hyaluronic acid (HA), ectoine, and carboxymethylcellulose (CMC), designed to enhance tear film stability and ocular surface protection. Physicochemical and rheological properties were assessed, including viscosity, pseudoplasticity, and viscoelastic behaviour under dynamic conditions, along with ectoine release over 24 h. An in vitro allergic conjunctivitis model using conjunctival fibroblasts exposed to a pro-allergic cytokine cocktail was employed to examine immunomodulatory effects. DayDrop^® Triple Action demonstrated high viscosity with pronounced pseudoplasticity and stable viscoelasticity, supporting improved mucoadhesion. The formulation provided sustained ectoine release and exhibited a positive immunomodulatory effect, likely linked to ectoine’s preferential hydration mechanism, which stabilizes membranes and reduces inflammatory signalling. These findings suggest that DayDrop^® Triple Action integrates viscoelastic optimization, osmoprotection, and targeted anti-inflammatory action, offering a promising non-pharmacological strategy for managing DED and allergic ocular surface disorders. Full article

Aim: Radiation exposure is a growing public health concern; however, public understanding of its sources, risks, and protective measures remains limited. This study examined familiarity, misconceptions, and attitudes towards both ionising and nonionising radiation among residents of Saudi Arabia, an area that has received limited attention in the literature. Methods: A cross-sectional survey was conducted among 888 Saudi residents aged 18 years and above by using a validated online questionnaire. The instrument comprised demographic items, 13 statements assessing radiation familiarity (including knowledge of sources and safety), and 21 items assessing attitudes (including safety practices and willingness to receive further education), all rated on a five-point Likert scale. Descriptive statistics and nonparametric inferential analyses were performed using SPSS v27. Results: Participants had a moderate mean familiarity score (3.34 ± 1.16), whereas attitude scores were high (3.56 ± 1.14). Demographic variables, including age, sex, region, and previous training, significantly affected familiarity and attitudes. A medical background and previous radiation education were associated with a higher familiarity level. Nonetheless, most participants expressed a strong interest in acquiring additional knowledge. Conclusion: Moderate familiarity with radiation and strong attitudes towards protection among the Saudi public highlight opportunities to strengthen practical safety knowledge. These findings indicate the need for targeted, accessible educational initiatives, particularly through digital platforms, to enhance radiation literacy and support the objectives of Saudi Vision 2030. Full article

The aim of this paper is to highlight Tribes’ efforts to Indigenize their child welfare systems through the instrument of Tribal law. Since its founding, the United States has strategically focused on Native children in its efforts to assimilate Native Peoples. By the mid-twentieth century, federal and state governments removed nearly one in four Native children from their homes—and permanently placed most in non-Native care. In 1978, Congress recognized Tribes’ inherent authority to protect their children through the Indian Child Welfare Act. Tribal nations responded by creating their own child welfare laws and programs, but at least initially, most were not predicated on their respective Tribes’ cultures, values, and worldviews. This article considers the more recent shift among Tribal nations toward Indigenization of their child welfare systems and points to examples of this shift found in Tribal law. It reviews statements of purpose within the codes, which lay the groundwork for culturally infused child protection; statements about “best interests,” which communicate Tribal concepts about the foundations of children’s wellbeing; and definitions of “family,” which can vary greatly from western views. Reflection on these changes yields several lessons for U.S.-based Tribal nations in their ongoing efforts to promote their own visions of child wellbeing and, more generally, for other governments whose responsibilities include improving child welfare. Full article

Diabetic retinopathy (DR) is a leading cause of vision loss globally and represents one of the most common microvascular complications of diabetes. In addition to metabolic disturbances associated with hyperglycemia, oxidative stress has emerged as a critical contributor to the onset and progression of DR. Oxidative stress, defined as an imbalance between the production of reactive oxygen species (ROS) and antioxidant defense mechanisms, leads to cellular injury, inflammation, and increased vascular permeability. In the diabetic retina, excessive ROS production promotes endothelial cell apoptosis, breakdown of the blood-retinal barrier (BRB), and induction of angiogenic factors such as vascular endothelial growth factor (VEGF). This review provides a comprehensive overview of the pathophysiology of DR, focusing on the molecular mechanisms of oxidative stress. Relevant studies were identified through a structured search of PubMed, Web of Science, and Scopus (2000–2025) using terms such as ‘diabetic retinopathy’, ‘oxidative stress’, and ‘antioxidants’. We explore current knowledge on oxidative stress-related biomarkers and therapeutic strategies targeting oxidative damage, including antioxidant compounds and mitochondrial protective agents. Recent findings from both experimental and clinical studies are summarized, highlighting the translational potential of oxidative stress modulation in DR management. Finally, future research directions are discussed, including biomarker standardization, personalized medicine approaches, and long-term clinical validation of antioxidant-based therapies. A deeper understanding of oxidative stress may offer valuable insights into novel diagnostic and therapeutic strategies for DR. Full article