Safety Protocols Research Articles

Successful implementation of a multidisciplinary safety protocol in patients with alpha-gal syndrome receiving parenteral anticoagulation: A case series

Successful implementation of a multidisciplinary safety protocol in patients with alpha-gal syndrome receiving parenteral anticoagulation: A case series

Interdisciplinary Perspectives on Agent-Based Modeling in the Architecture, Engineering, and Construction Industry: A Comprehensive Review

This paper explores the transformative impact of agent-based modeling (ABM) on the architecture, engineering, and construction (AEC) industry, highlighting its indispensable role in revolutionizing project management, construction processes, safety protocols, and sustainability initiatives including energy optimization and occupants’ comfort. Through an in-depth review of 178 documents published between 1970 and 2024 on current practices and the integration of ABM with emerging digital technologies, this study underscores the critical importance of ABM in facilitating enhanced decision-making, resource optimization, and complex system simulations. For instance, ABM is shown to reduce project delays by up to 15% through enhanced resource allocation and improve safety outcomes by simulating worker behavior and identifying potential hazards in dynamic construction environments. The results reveal ABM’s potential to significantly improve construction methodologies, integrate technological advancements seamlessly, and contribute to the development of sustainable and resilient building practices. Furthermore, this paper identifies key areas for future research, including the exploration of ABM’s capabilities in conjunction with other digital innovations to unlock new avenues for efficiency and sustainability in construction. This study sets out a forward-looking agenda for providing this modeling approach to address contemporary challenges and harness opportunities for innovation and growth in the AEC sector.

Event Operation and Management in Risk Assessment for Outdoor Food Bazaar Events

This study evaluates risk management in organizing a food bazaar held in an open field at the Jakarta International Velodrome from May 31 to June 2, 2024. The research methodology includes direct observation, structured interviews with the organizing committee, and document analysis. The assessment results indicate that the event falls into the Very High Risk category for safety aspects, with potential hazards such as smuggling, theft, and fire. Additionally, the cleanliness of the area and healthcare facilities are deemed inadequate, categorized as High Risk. The limitations of hygiene facilities such as toilets and sinks, as well as the risk of dehydration, were also identified. This study recommends enhanced preparation and attention to risk management for similar events in the future to ensure the safety and comfort of visitors. By identifying, analyzing, and evaluating risks more comprehensively, it is hoped that event organizers can minimize potential hazards and improve the quality of future events. The study also emphasizes the importance of collaboration among various stakeholders, including the government, event organizers, security personnel, and healthcare services, to create a safe and comfortable event environment. Measures such as safety training for staff, adequate placement of healthcare facilities, and improved security systems can reduce the risks faced by visitors. Additionally, the study highlights the need for effective communication with the audience regarding safety and health protocols to be followed during the event. The implementation of technology such as crowd monitoring applications and early detection systems can also be a solution in managing risks more effectively.

Patient Safety Competence Among Diploma III Nursing Student In Jakarta, Indonesia; A Cross-Sectional Survey

Nursing students frequently made errors or near-misses due to non-compliance with patient safety protocols, including authenticating medication administration rights, verifying patient identification, and reviewing allergy status. This study was conducted using cross-sectional design at nursing Academy in Jakarta. The inclusion criteria were nursing diploma student at grade 3, nursing students who had not passed any patient safety training courses, those who passed the credit of “Fundamentals of Nursing and Management Patient Safety”, and those who started learning in the clinical setting. The Health Professional Education in Patient Safety Survey (H-PEPSS) was designed by Agency for Healthcare Research and Quality to evaluate recently students' levels of clinical safety. A descriptive statistic was used to analyze data using mean, standard deviation. A simple linear regression was done to determine the relationship between gender, age, and religion with patient safety competence. About 55% student have moderate level of competence, 28% good, and 20% excellent. There was no significant difference on patient safety competence among nursing students in 8 nursing colleges in Jakarta (p>0.05). Gender was associated contributed significantly to the variance in patient safety competence with R square was 28.8%. The study suggests nursing institutions should develop new approaches to improve patient safety competence and culture among students, preparing them for advanced technology education in healthcare institutions.

Artificial Neural Network-based Model for Predicting Cardiologists’ Over-apron Dose in CATHLABs

Abstract Aim: The radiation dose that cardiologists receive in the catheterization laboratory is influenced by various factors. Handling high-stress tasks in interventional cardiology departments may cause physicians to overlook the use of dosimeters. Therefore, it is essential to develop a model for predicting cardiologists’ radiation exposure. Materials and Methods: This study developed an artificial neural network (ANN) model to predict the over-apron radiation dose received by cardiologists during catheterization procedures, using dose area product (DAP) values. Leveraging a validated Monte Carlo simulation program, we generated data from simulations with varying spectra (70, 81, and 90 kVp) and tube orientations, resulting in 125 unique scenarios. We then used these data to train a multilayer perceptron neural network with four input features: DAP, energy spectrum, tube angulation, and the resulting cardiologist’s dose. Results: The model demonstrated high predictive accuracy with a correlation coefficient (R-value) of 0.95 and a root mean square error (RMSE) of 3.68 μSv, outperforming a traditional linear regression model, which had an R-value of 0.48 and an RMSE of 18.15 μSv. This significant improvement highlights the effectiveness of advanced techniques such as ANNs in accurately predicting occupational radiation doses. Conclusion: This study underscores the potential of ANN models for accurate radiation dose prediction, enhancing safety protocols, and providing a reliable tool for real-time exposure assessment in clinical settings. Future research should focus on broader validation and integration into real-time monitoring systems.

Farmers’ Perception on Pesticide Use and Pest Management of Vegetable Crops: In the Upper Blue Nile Basin, Ethiopia, in the Case of Fogera Plain

This study examines the impact of training on smallholder farmers' pesticide handling practices, perceptions, and behaviors, with a focus on the correlation between training and several key factors, including pesticide storage, pest identification skills, pest management strategies, pesticide application frequency, information sources, protective equipment use, pesticide mixing habits, and disposal of empty pesticide containers. The research highlights that training plays a significant role in improving farmers' pesticide handling practices, although some areas still require additional education or interventions for further improvement. Significant associations were found between training and pest identification abilities. Farmers who received training were more adept at recognizing pests such as onion thrips (X<sup>2</sup> = 17.130, p < .001), downy mildew (X<sup>2</sup> = 10.221, p = 0.001), fruit borers (X<sup>2</sup> = 26.246, p < .001), and white flies (X<sup>2</sup> = 3.226, p = 0.072) compared to untrained farmers. Trained farmers were also more likely to seek reliable information from extension workers (X<sup>2</sup> = 13.18, p < 0.001), chemical dealers (X<sup>2</sup> = 15.44, p < 0.001), personal experience (X<sup>2</sup> = 8.03, p = 0.005), and product labels (X<sup>2</sup> = 14.36, p < 0.001), whereas untrained farmers were more inclined to guess or rely on informal sources (X<sup>2</sup> = 21.85, p < 0.001). Regarding pesticide storage, trained farmers were more likely to store pesticides safely, away from living areas, children, and animals, whereas untrained farmers often stored pesticides indoors. Training also affected mixing practices, with trained farmers less likely to mix pesticides near water sources (X<sup>2</sup> = 6.4, p = 0.01) and more likely to mix them in the field (X<sup>2</sup> = 51.38, p < 0.001). However, there were no significant differences in practices such as mixing pesticides according to the recommended doses (X<sup>2</sup> = 3.15, p = 0.08) or mixing different types of pesticides (X<sup>2</sup> = 0.31, p = 0.58). Trained farmers demonstrated better adherence to safety protocols, such as using personal protective equipment (PPE) and avoiding pesticide mixing at home. They were also more likely to triple-rinse spray tanks and avoid discharging pesticides into irrigation ditches. However, no significant differences were observed in reading pesticide instructions before spraying (X<sup>2</sup> = 0.24, p = 0.63), indicating a need for further emphasis on this aspect during training. Overall, the study confirms that training significantly improves safe pesticide handling but suggests areas for further education and intervention.

Exploring the Psychosocial Impact of Hospitalization for COVID-19: Insights from Patient Experiences

Abstract Background The COVID-19 pandemic has severely tested the organizational structure and operational effectiveness of healthcare systems. We aimed to explore the experiences of patients who have been hospitalized due to COVID-19. Methods Employing purposive sampling, semi-structured interviews were conducted covering eight topics: 1) the experience of COVID-19 diagnosis, 2) the most difficult moments during hospitalization, 3) difficulties related to hospital conditions and safety protocols, 4) interactions with healthcare professionals, 5) received support, 6) social stigma, 7) concerns about the future, and 8) post-COVID and long COVID syndrome. Twelve individuals (six women and six men; mean age 57.5 (SD = 13) years; mean length of stay 18.1 (SD = 3.1) days) participated. The data analysis was carried out using the phenomenological method according to Colaizzi. Results Patients reported a spectrum of emotions including loneliness, isolation, abandonment, disappointment, insecurity and fear of death. Interactions with healthcare professionals revealed a dichotomy: experiences of respectful, reassuring care contrasted with encounters lacking psycho-emotional support within an impersonal healthcare setting. Conclusions This study sheds light on the experiences of patients on the nursing wards and their psychosocial burden. Most of them reported negative emotions such as loneliness, isolation, sadness, fear and anxiety rather than positive experiences such as hope, interpersonal connectedness, self-identity, empathy, caring and safety. Key messages • The study highlights psychosocial challenges for COVID-19 patients, emphasizing the urgent need for robust support systems. • The study provides insights for future similar situations and highlights the need for adaptable care models based on principles such as empathy, safety and personalized approaches.

Parent's Perspectives on Boarding Schools in Primary Education Settings: The Case of Std Vi and Vii in Magharibi B District Unguja

This paper is set to determine the Parents' perspectives on boarding schools in Zanzibar. The study is expected to provide insights into the Parents' perspectives and experiences regarding boarding schools in primary school settings, especially for STD VI and VII. The study will shed light on the benefits, challenges, and potential outcomes associated with boarding in primary school settings from different parents. The study utilized the Social Learning Theory developed by Albert Bandura, which is a psychological framework that emphasizes the role of observation, imitation, and modeling in the learning process. This theory highlighted the impact of models in shaping behavior, both positive and negative, and demonstrated how children could imitate aggressive behavior they witnessed in adults. In this study, data was gathered directly from primary sources through various methods such as interviews, Questionnaires, and group discussions in order to give chances for any respondent to give out his or her view about boarding schools in primary education settings in confidence and freeway. The findings indicate that parents prefer boarding schools as they provide a conducive learning environment, help in students' social development, and safety in boarding schools is well-managed. Also, boarding schools have adequate resources and facilities and communication between parents and boarding schools is effective. The study concludes that parents hold varied perspectives on boarding schools, emphasizing their perceived benefits such as conducive learning environments, social development opportunities, and well-managed safety protocols. These positive views are complemented by concerns about resource adequacy, communication effectiveness, and the rigidity of the boarding school environment

Stapler-induced vascular injury during uniportal VATS lobectomy: lessons learned from a rare complication case

BackgroundDue to advances in video-assisted thoracic surgery (VATS), the majority of lung resections can be performed safely via VATS with low morbidity and mortality. However, pulmonary artery (PA) bleeding often requires emergency conversion to thoracotomy, potentially leading to a life-threatening situation. We report a case of pulmonary artery injury caused by an unexpected stapler-tissue interaction during uniportal VATS lobectomy, highlighting the importance of recognizing and managing such rare complications to improve patient outcomes.Case presentationA 63-year-old man underwent uniportal VATS left upper lobectomy for a suspected primary lung cancer. During the procedure, unexpected bleeding occurred from the third branch of the pulmonary artery (A3) after withdrawal of an unfired stapler. The protruding staple of the A3 stump was inadvertently hooked and stretched by the groove of the staple anvil. Although the bleeding was controlled by compression with the lung, the injured A3 stump required repair. Due to the extensive intimal injury near the central part of the left main pulmonary artery and the potential risk of fatal postoperative complications, we converted to open thoracotomy for definitive vascular repair by suturing. The patient had no postoperative complications and was discharged on postoperative day 8.ConclusionsThis case report provides valuable lessons regarding the rare stapler-related vascular injury during uniportal VATS lobectomy. It is important to note that even during non-vascular dissection, unexpected stapler-tissue interactions can lead to bleeding. To prevent the vessel stump entanglement with stapler components, maintaining separation between the stapler and staple stumps is crucial. In uniportal VATS, manipulation during stapler insertion is one of the most challenging phases for instrument interference, requiring increased caution to prevent complications such as the vascular injury described in this case. Thorough preoperative planning, specific intraoperative precautions, and adapted safety protocols that address the limitations of uniportal VATS are essential for effective management of potential complications. Although techniques for thoracoscopic vascular control exist, they are not always feasible and conversion to open thoracotomy should be considered when necessary to ensure patient safety.

Numerical simulation and risk assessment of toluene tank leakage in petrochemical industries, China.

Large-capacity toluene storage tank leakage accidents can lead to severe casualties and environmental damage. In this study, numerical simulation of the toluene leakage accidents is performed using PHAST and ALOHA softwares across 16 scenarios. The present research focuses on the dispersion of toluene lethal and toxicity clouds, as well as the associated risks from vapor cloud explosions and pool fires resulting from the large-capacity toluene storage tank leakage. Meanwhile, the effects of influential factors such as leakage height, wind speed, ambient temperature, and atmospheric stability on toluene leakage accidents are also discussed, and then the worst-case scenario of the toluene leakage accident is obtained. The effects of wind speed, ambient temperature, leakage height, and atmospheric stability on outcomes such as toxic clouds, vapor dispersion, explosions, and pool fires are also analyzed. The result reveals that toxic cloud dispersion increases with ambient temperature, while the impact of vapor cloud explosions and pool fires decreases with the increase of leak heights. Wind speed significantly affects pool fire spread. The influential factors related to maximizing hazard range including low leak heights, low wind speeds, high temperatures, and stable conditions are obtained. Risk analysis indicates that vapor cloud explosions significantly impact outdoor potential loss of life (PLLoutdoor) compared with other incidents. Scenario 4 within a directional range from 33.8 to 56.3° shows the highest incident frequencies, highlighting its importance for risk monitoring. These findings are crucial for enhancing emergency response strategies and safety protocols in industrial safety management.

Worker Presence Monitoring in Complex Workplaces Using BLE Beacon-Assisted Multi-Hop IoT Networks Powered by ESP-NOW

The increasing adoption of Internet of Things (IoT) technologies has facilitated the creation of advanced applications in various industries, notably in complex workplaces where safety and efficiency are paramount. This paper addresses the challenge of monitoring worker presence in vast workplaces such as shipyards, large factories, warehouses, and other construction sites due to a lack of traditional network infrastructure. In this context, we developed a novel system integrating Bluetooth Low Energy (BLE) beacons with multi-hop IoT networks by using the ESP-NOW communications protocol, first introduced by Espressif Systems in 2017 as part of its ESP8266 and ESP32 platforms. ESP-NOW is designed for peer-to-peer communication between devices without the need for a WiFi router, making it ideal for environments where traditional network infrastructure is limited or nonexistent. By leveraging the BLE beacons, the system provides real-time presence data of workers to enhance safety protocols. ESP-NOW, a low-power communications protocol, enables efficient, low-latency communication across extended ranges, making it suitable for complex environments. Utilizing ESP-NOW, the multi-hop IoT network architecture ensures extensive coverage by deploying multiple relay nodes to transmit data across large areas without Internet connectivity, effectively overcoming the spatial challenges of complex workplaces. In addition, the Message Queuing Telemetry Transport (MQTT) protocol is used for robust and efficient data transmission, connecting edge devices to a central Node-RED server for real-time remote monitoring. Moreover, experimental results demonstrate the system’s ability to maintain robust communication with minimal latency and zero packet loss, enhancing worker safety and operational efficiency in large, complex environments. Furthermore, the developed system enhances worker safety by enabling immediate identification during emergencies and by proactively identifying hazardous situations to prevent accidents.

Identification of Potential Biomarkers and Spectral Fingerprinting for Detection of Foodborne Pathogens in Raw Chicken Meat Matrix Using GCMS and FTIR

Foodborne illnesses pose a serious threat to public health, with increasing global incidence rates driven by factors such as rising meat consumption. Rapid detection of foodborne pathogens in meat is critical for preventing outbreaks. This study investigates the potential of gas chromatography-mass spectrometry (GC-MS) and Fourier-transform infrared spectroscopy (FTIR) for identifying biomarkers and spectral fingerprints indicative of foodborne pathogens in raw chicken meat. Raw broiler chicken meat samples were surface-sterilized and inoculated with foodborne pathogens. The samples were challenge inoculated with the specific pathogen and the physical quality parameters like pH, color, texture, drip loss, and water activity were assessed. GC-MS analysis identified 113 metabolites, including potential biomarkers like ureidopropionic acid, 5-sulfosalicylic acid, 11,14-eicosadienoic acid, methyl ester for E. coli O157:H7; 11-bromoundecanoic acid, neocurdione, glafenin, eicosanoic acid for Salmonella; azepan-1-yl-acetic acid, methyl ester, tramadol, cytarabine, dipipanone for Staphylococcus and cyclopentaneundecanoic acid, phosphonofluoridic acid, î-n-formyl-l-lysine for Pseudomonas. Pathway analysis revealed the involvement of fatty acid metabolism and amino acid degradation pathways. FTIR spectral data showed significant variances between control and spiked samples, particularly in the fatty acid spectral region. The identified metabolites and spectral patterns could serve as biomarkers for developing rapid pathogen detection methods, contributing to enhanced food safety protocols.

Dynamic change and risk factors of intense thirst in patients admitted to neuro-intensive care unit: An observational study.

Thirst is a clinical discomfort symptom reported by most patients admitted to intensive care unit (ICU). Little is known about the dynamic change and risk factors of intense thirst in neuro-intensive care unit (Neuro-ICU). The objective of this study was to explore the dynamic change and determine the risk factors of intense thirst in patients admitted to Neuro-ICU, providing reference for personalized interventions of intense thirst. The study design is a prospective observational study. Demographic and disease-related,treatment, physiological and biochemical data were collected for 230 patients from Neuro-ICU of a hospital from May 2023 to November 2023. We assessed thirst intensity on numeric rating scale (NRS) of 0-10 (10 = worst possible thirst) at eight time points: 7:00, 9:00, 11:00, 13:00, 15:00, 17:00, 19:00 and 21:00 and a self-designed general information questionnaire based on safety protocol for thirst management to analyse the risk factors of intense thirst in Neuro-ICU patients. If thirst scores were more than 7, we defined it as intense thirst. This study followed the STROBE checklist for cross-sectional studies. A total of 230 Neuro-ICU patients were observed. The dynamic analysis results showed an overall downward trend in thirst intensity, with the highest NRS thirst scores at 07:00 (6.13 ± 2.14) and the lowest at 21:00 (4.02 ± 2.72). The investigation of the current situation showedthat the incidence of intense thirst in Neuro-ICU patients was 47.4%. Intense thirst in Neuro-ICU patients was predicted by dysphagia (odds ratio [OR] = 1.436, 95% confidence interval [CI]:1.063-1.941), open mouth breathing (OR = 2.201, 95% CI:1.041-4.656), high glucose (OR = 2.584, 95% CI:1.097-6.087), xerostomia (OR = 3.049, 95% CI:1.950-4.767) (all p < .05). The intensity of thirst was dynamically changing and the incidence of intense thirst in Neuro-ICU patients was relatively high. Timely assessment of Neuro-ICU patients' thirst severity and identification of those at high risk can ensure the implementation of effective interventions based on patients' characteristics. Thirst is a pervasive distressing symptom often reported by critically ill patients. This study revealed that the clinical nurses need to enhance their focus on dynamic change of thirst, which is helpful for improving the efficiency of bundled thirst interventions at the suitable time.

Comparative dimensions of COVID-19 visual health literacy: social media news imagery in Germany and China

The COVID-19 pandemic prompted governments worldwide to utilise social media news platforms for disseminating critical public health information and safety protocols. Visual aids, including photographs, videos, charts, and infographics, played a key role in conveying health-related messages. However, there are variations in visual communication practices across countries, influenced by local health communication habits and cultural contexts. This study examines these variations in the visual health discourse that emerged in China and Germany during the pandemic, focusing on metaphorical mapping as a central analytical tool. We introduce the concept of “visual dataset fingerprints,” outlining the distinct composition of public health visuals on eight social news media platforms in Germany and China. Our descriptive analysis encompasses over 3700 digital visual media posts related to COVID-19, shared by leading national news media accounts in German, English, and Mandarin on microblogs in 2022. As a preliminary outcome of our study, we observe differences in image use based on the analysis of 1678 media posts by four Chinese outlets and 1329 media posts by four German outlets. These differences may reflect variations in how public opinion, perceptions, and attitudes toward COVID-19 policies are shaped across languages and cultures. Through its comparative visual analysis, our pilot study offers the potential for a new research approach to global healthcare communication in social news media and digital visual cultures.

Narrative Review: Telemedicine Quality after the COVID-19 Public Health Emergency: Time to Reevaluate?

OBJECTIVE: This narrative review explores concerns and potential solutions for improving the quality of synchronous telemedicine visits for high utilizers like primary care, particularly after the COVID-19 pandemic. METHODS: A literature review identified studies published within the past 10 years focusing on telemedicine quality, primary care, and related aspects like liability, virtual exams, and patient safety. RESULTS: Despite the surge in popularity of telemedicine visits, concerns regarding their quality linger. These concerns encompass various aspects of the patient experience, administrative processes, and potential safety risks. Limitations in physical exam capabilities and the lack of readily available vital signs during telemedicine visits raise concerns about the accuracy of diagnoses. This is particularly true for situations requiring a more comprehensive physical assessment. Incomplete documentation due to abbreviated patient histories, missing physical exam findings, and the reliance on generic templates pose liability risks. This lack of thorough information makes it challenging to accurately capture the patient's condition and raises concerns about the quality of care provided. Patients themselves have expressed concerns about accuracy of a virtual visit, thus raising questions about the effectiveness of telemedicine in building rapport and ensuring clear communication. From an administrative standpoint, fears of misdiagnosis due to the limitations of virtual exams, inconsistencies in insurance coverage for telemedicine services, and unclear reimbursement standards for thorough visits continue to pose challenges. These uncertainties create ambiguity and make it difficult for healthcare providers to fully embrace telemedicine as a viable option. Finally, although mirroring in-person visit protocols for patient safety is considered crucial, many organizations currently lack standardized measures to ensure safety throughout the entire telemedicine journey. This includes potential risks during scheduling, appointment execution, and post-visit follow-up, highlighting the need for more robust safety protocols specifically designed for the telemedicine setting. Addressing these concerns is essential for ensuring the quality and sustainability of telemedicine integration. CONCLUSION: While telemedicine offers significant benefits, improving quality is essential for its sustainable integration into primary care. Standardizing protocols, educating clinicians and patients, implementing comprehensive physical exam procedures, and ensuring patient safety throughout the visit are key areas for improvement. Continuous monitoring and data analysis are crucial for identifying and addressing weaknesses and ensuring quality telemedicine care.

Fats and oils contaminants: an analysis of EU RASFF notifications from 1999 to 2023

Between 1999 and 2023, an extensive analysis of 713 notifications from the EU Rapid Alert System for Food and Feed (RASFF) related to fats and oils was conducted. The analysis covered the most frequently reported products, associated hazards, countries of origin, notification classifications, risk decisions, and actions taken in response. The data demonstrate considerable variability in RASFF notifications throughout the studied period, with significant spikes and a recent upward trend. Of all notifications, 44.32 % were categorized as alerts, and 23.42 % as border rejections. In terms of risk decisions, 34.08 % were deemed serious and 60.59 % remained undecided. Palm oil emerged as the most frequently notified product, representing 37.87 % of all notifications, followed by olive oil at 15.71 % and sunflower oil at 11.36 %. The Sudan 4 dye was identified as the most common hazard, constituting 30.01 % of all fats and oils notifications. Other notable hazards included benzo(a)pyrene (26.65 %), glycidyl esters (6.03 %), and chlorpyrifos (3.37 %). The top three countries of origin for RASFF notifications on fats and oils were Ghana (22.30 %), Ukraine (13.18 %), and Italy (9.96 %). These findings could benefit further research and influence decision-making, thereby enhancing food safety protocols in the global production, processing, and distribution of fats and oils.

Investigation of Unsafe Construction Site Conditions Using Deep Learning Algorithms Using Unmanned Aerial Vehicles.

The rapid adoption of Unmanned Aerial Vehicles (UAVs) in the construction industry has revolutionized safety, surveying, quality monitoring, and maintenance assessment. UAVs are increasingly used to prevent accidents caused by falls from heights or being struck by falling objects by ensuring workers comply with safety protocols. This study focuses on leveraging UAV technology to enhance labor safety by monitoring the use of personal protective equipment, particularly helmets, among construction workers. The developed UAV system utilizes the tensorflow technique and an alert system to detect and identify workers not wearing helmets. Employing the high-precision, high-speed, and widely applicable Faster R-CNN method, the UAV can accurately detect construction workers with and without helmets in real-time across various site conditions. This proactive approach ensures immediate feedback and intervention, significantly reducing the risk of injuries and fatalities. Additionally, the implementation of UAVs minimizes the workload of site supervisors by automating safety inspections and monitoring, allowing for more efficient and continuous oversight. The experimental results indicate that the UAV system's high precision, recall, and processing capabilities make it a reliable and cost-effective solution for improving construction site safety. The precision, mAP, and FPS of the developed system with the R-CNN are 93.1%, 58.45%, and 27 FPS. This study demonstrates the potential of UAV technology to enhance safety compliance, protect workers, and improve the overall quality of safety management in the construction industry.

Assessing oncology nurses’ knowledge and practices in safe cytotoxic drug handling and waste management in a Moroccan tertiary centre

ABSTRACT Because of the rising burden of cancer worldwide, cytotoxic drugs have become a significant threat to health and the environment. This investigation assessed the level of knowledge of oncology nurses regarding the risks associated with handling cytotoxic drugs and the management of cytotoxic waste and their impact on health and the environment. A qualitative study was conducted among oncology nurses at a Moroccan oncology centre. Most demonstrated a good understanding of cytotoxic drugs and their handling. But, there were notable deficiencies in foundational training. Occasional training sessions were offered, but they were considered insufficient in frequency and depth. The workload was identified as a major obstacle to proper safety protocol implementation. Although all participants recognised the dangers of improper disposal of cytotoxic waste, none had detailed knowledge of the specific environmental impacts. Improved training programmes and a reduced workload are critical to enhancing safety and efficiency in oncology centres.

Mechanisms and Trends in Women's Lacrosse Head and Musculoskeletal Injuries: A 15-Year Review of National Injury Data.

Head injury rates in lacrosse may be higher among women compared with men. Understanding these trends can guide appropriate injury prevention for female athletes. Injuries most commonly involve the head, with no significant decline over the study period; contact with other players would be the most common injury mechanism. Descriptive epidemiological. Level 3. The National Electronic Injury Surveillance System (NEISS) was queried (January 1, 2008 to December 31, 2022) for women's lacrosse injuries presenting to United States (US) emergency departments (EDs). Patient demographics, injury diagnosis, body part injured, disposition, and clinical narrative were extracted. The provided narrative identified the mechanism of injury. Linear regression analysis assessed trends over time. An estimated 57,635 women's lacrosse injuries occurred during the study period extrapolated from 1899 evaluated NEISS cases. The mean age was 15.81 ± 5.35 years, with 68.3% of injuries sustained by high school (14- to 18-year-old) players. Over one-third of all injuries were to the head (national estimate [NE], 19,358; 33.6%), followed by the ankle (NE, 10,475; 18.2%), then the knee (NE, 6969; 12.1%). Strain/sprains were most common (NE, 19,402; 33.7%) followed by closed head injury (CHI)/sports-related concussion (SRC) (NE, 11,794; 20.5%) and contusion/abrasion (NE, 10,605; 18.4%). ED presentations of CHIs/SRCs and fractures remained elevated with no significant decline over the study period (P > 0.05), despite a significant decrease in strains/sprains and contusions/abrasions (P < 0.01 and P = 0.01, respectively). The most common injury mechanism was collision/contact with another player (NE, 10,664; 18.5%). An estimated one-third of women's lacrosse players in the study sample had a head injury. CHIs and SRCs accounted for 20.5% of all injuries. Given the high proportion of contact-related head injuries, headgear mandates and improved player safety protocols may be warranted.

These Real-world Safety Protocols Are Underway for Anti-amyloid Therapies

These Real-world Safety Protocols Are Underway for Anti-amyloid Therapies