Implementation Of Mitigation Strategies Research Articles

SLEM (Shallow Landslide Express Model): A Simplified Geo-Hydrological Model for Powerlines Geo-Hazard Assessment

Powerlines are strategic infrastructures for the Italian electro-energetic network, and natural threats represent a potential risk that may influence their operativity and functionality. Geo-hydrological hazards triggered by heavy rainfall, such as shallow landslides, have historically affected electrical infrastructure networks, causing pylon failures and extensive blackouts. In this work, an application of the reworked version of the model proposed by Borga et al. and Tarolli et al. for rainfall-induced shallow landslide hazard assessment is presented. The revised model is called SLEM (Shallow Landslide Express Model) and is designed to merge in a closed-from equation the infinite slope stability with a simplified hydrogeological model. SLEM was written in Python language to automatise the parameter calculations, and a new strategy for evaluating the Dynamic Contributing Area (DCA) and its dependence on the initial soil moisture condition was included. The model was tested for the case study basin of Trebbia River, in the Emilia-Romagna region (Italy) which in the recent past experienced severe episodes of geo-hydrological hazards. The critical rainfall ratio (rcrit) able to trigger slope instability prediction was validated against the available local rainfall threshold curves, showing good performance skills. The rainfall return time (TR) was calculated from rcrit identifying the most hazardous area across the Trebbia basin with respect to the position of powerlines. TR was interpreted as an index of the magnitude of the geo-hydrological events considering the hypothesis of iso-frequency with precipitation. Thanks to its fast computing, the critical rainfall conditions, the temporal recurrence and the location of the most vulnerable powerlines are identified by the model. SLEM is designed to carry out risk analysis useful for defining infrastructure resilience plans and for implementing mitigation strategies against geo-hazards.

The effects of standing foot-transmitted vibration on self-reported discomfort ratings.

Occupational foot-transmitted vibration (FTV) exposure is common in industries like mining, construction, and agriculture, often leading to acute and chronic injuries. Vibration assessments require technical expertise and equipment which can be costly for employers to perform. Alternatively, researchers have observed that self-reported discomfort can be used as an effective indicator of injury risk. This study aimed to investigate the effect of standing FTV exposure on self-reported ratings of discomfort, and whether these subjective ratings differed by body area and exposure frequency. Participants (n = 30) were randomly exposed to standing FTV at six frequencies (25, 30, 35, 40, 45, and 50 Hz) for 20-45 seconds. Following each exposure, participants rated discomfort on a scale of 0-9 in four body areas: head and neck (HN), upper body (UB), lower body (LB), and total body. Results indicated that participants experienced the most discomfort in the LB at higher frequencies (p < 0.001), consistent with the resonance of foot structures. The HN discomfort tended to decrease as the exposure frequency increased, although not statistically significant (p > 0.0167). The UB discomfort remained relatively low across all frequencies. The study suggests a potential connection between resonant frequencies and discomfort, potentially indicating injury risk. Although self-reported discomfort is insufficient for directly assessing injury risk from FTV, it provides a simple method for monitoring potential musculoskeletal risks related to vibration exposure at resonant frequencies. While professional vibration assessment remains necessary, self-reported discomfort may act as an early indicated of vibration-induced injuries, aiding in implementing mitigation strategies.

PreK-12 school and citywide wastewater monitoring of the enteric viruses astrovirus, rotavirus, and sapovirus

Wastewater monitoring is an efficient and effective way to surveil for various pathogens in communities. This is especially beneficial in areas of high transmission, such as preK-12 schools, where infections may otherwise go unreported. In this work, we apply wastewater disease surveillance using school and community wastewater from across Houston, Texas to monitor three major enteric viruses: astrovirus, sapovirus genogroup GI, and group A rotavirus. We present the results of a 10-week study that included the analysis of 164 wastewater samples for astrovirus, rotavirus, and sapovirus in 10 preK-12 schools, 6 wastewater treatment plants, and 2 lift stations using newly designed RT-ddPCR assays. We show that the RT-ddPCR assays were able to detect astrovirus, rotavirus, and sapovirus in school, lift station, and wastewater treatment plant (WWTP) wastewater, and that a positive detection of a virus in a school sample was paired with a positive detection of the same virus at a downstream lift station or wastewater treatment plant over 97 % of the time. Additionally, we show how wastewater detections of rotavirus in schools and WWTPs were significantly associated with citywide viral intestinal infections. School wastewater can play a role in the monitoring of enteric viruses and in the detection of outbreaks, potentially allowing public health officials to quickly implement mitigation strategies to prevent viral spread into surrounding communities.

Soil erosion is a major drive for nano & micro-plastics to enter riverine systems from cultivated land

Nano and micro-plastics (NMPs, particles diameter <5 mm), as emerging contaminants, have become a major concern in the aquatic environment because of their adverse consequences to aquatic life and potentially human health. Implementing mitigation strategies requires quantifying NMPs mass emissions and understanding their sources and transport pathways from land to riverine systems. Herein, to access NMPs mass input from agricultural soil to riverine system via water-driven soil erosion, we have collected soil samples from 120 cultivated land in nine drainage basins across China in 2021 and quantified the residues of six common types of plastic, including polyvinyl chloride (PVC), polymethyl methacrylate (PMMA), polypropylene (PP), polyethylene (PE), polycarbonate (PC), and polystyrene (PS). NMPs (Σ6plastics) were detected in all samples at concentrations between 3.6 and 816.6 μg/g dry weight (median, 63.3 μg/g) by thermal desorption/pyrolysis-gas chromatography-mass spectrometry. Then, based on the Revised Universal Soil Loss Equation model, we estimated that about 22,700 tonnes of NMPs may enter the Chinese riverine system in 2020 due to agricultural water-driven soil erosion, which occurs primarily from May to September. Our result suggested that over 90% of the riverine NMPs related to agricultural soil erosion in China are attributed to 36.5% of the country's total cultivated land, mainly distributed in the Yangtze River Basin, Southwest Basin, and Pearl River Basin. The migration of NMPs due to water-driven soil erosion cannot be ignored, and erosion management strategies may contribute to alleviating plastic pollution issues in aquatic systems.

Leveraging Digital Forensics in the Age of Smart Grids: A Survey of Tools and Techniques for Securing Electrical Power Systems

The increasing reliance on digital technologies in smart grids introduces vulnerabilities to cyberattacks that can disrupt critical infrastructure and impact daily life. For critical infrastructures to be protected against potential cyber-attacks, many forensic approaches have already been developed to collect, analyze, and digitalize the evidence to assist in the in-depth investigation of any incident. The growing complexity of power grids with interconnected digital components necessitates robust security measures. The modern power grids are not isolated they are interconnected networks of controls where if one component or system is affected the whole system faces a blackout. Network forensics plays a crucial role in investigating these attacks, identifying the source, and implementing mitigation strategies. This paper compares and analyzes three key tools: Wireshark, Nmap and NetMiner used in the network forensics of electrical power systems focusing on their performance assessed against various parameters.

Monitoring and Quantifying Soil Erosion and Sedimentation Rates in Centimeter Accuracy Using UAV-Photogrammetry, GNSS, and t-LiDAR in a Post-Fire Setting

Remote sensing techniques, namely Unmanned Aerial Vehicle (UAV) photogrammetry and t-LiDAR (terrestrial Light Detection and Ranging), two well-established techniques, were applied for seven years in a mountainous Mediterranean catchment in Greece (Ilioupoli test site, Athens), following a wildfire event in 2015. The goal was to monitor and quantify soil erosion and sedimentation rates with cm accuracy. As the frequency of wildfires in the Mediterranean has increased, this study aims to present a methodological approach for monitoring and quantifying soil erosion and sedimentation rates in post-fire conditions, through high spatial resolution field measurements acquired using a UAV survey and a t-LiDAR (or TLS—Terrestrial Laser Scanning), in combination with georadar profiles (Ground Penetration Radar—GPR) and GNSS. This test site revealed that 40 m3 of sediment was deposited following the first intense autumn rainfall events, a value that was decreased by 50% over the next six months (20 m3). The UAV–SfM technique revealed only 2 m3 of sediment deposition during the 2018–2019 analysis, highlighting the decrease in soil erosion rates three years after the wildfire event. In the following years (2017–2021), erosion and sedimentation decreased further, confirming the theoretical pattern, whereas sedimentation over the first year after the fire was very high and then sharply lessened as vegetation regenerated. The methodology proposed in this research can serve as a valuable guide for achieving high-precision sediment yield deposition measurements based on a detailed analysis of 3D modeling and a point cloud comparison, specifically leveraging the dense data collection facilitated by UAV–SfM and TLS technology. The resulting point clouds effectively replicate the fine details of the topsoil microtopography within the upland dam basin, as highlighted by the profile analysis. Overall, this research clearly demonstrates that after monitoring the upland area in post-fire conditions, the UAV–SfM method and LiDAR cm-scale data offer a realistic assessment of the retention dam’s life expectancy and management planning. These observations are especially crucial for assessing the impacts in the wildfire-affected areas, the implementation of mitigation strategies, and the construction and maintenance of retention dams.

Spliced CEACAM1: A Potential Novel Biomarker and Target for Ameliorating Liver Ischemia-reperfusion Injury.

Hepatic ischemia-reperfusion injury remains a significant challenge in liver transplantation potentially leading to delayed graft function, primary nonfunction, and sometimes rejection. Understanding the underlying mechanisms and implementing mitigation strategies are essential for improving transplant outcomes and patient survival. A recent study published by Dery et al shows that alternative splicing of carcinoembryonic antigen-related cell adhesion molecule 1 regulated by hypoxia inducible factor 1 alpha under stress enhances hepatic ischemia tolerance in mice and humans. The authors identified a direct binding of hypoxia inducible factor 1 alpha to the promoter region of polypyrimidine tract-binding protein 1 splicing enzyme, resulting in carcinoembryonic antigen-related cell adhesion molecule 1-short induction and improved posttransplant outcomes. This study has notably elucidated a potential biomarker pertaining to the quality of liver transplant donor grafts.

Impact of SARS-CoV-2 Pandemic and Lockdown on the HRSV Circulation: Experience of Three Spoke Hospitals in Northern Italy.

The SARS-CoV-2 Pandemic affected the global epidemiology of respiratory infections, including Human Respiratory Syncytial Virus (HRSV), thanks to state governments' implementation of mitigation strategies, like the promotion of face masks and lockdowns. However, after the Pandemic, the dramatic resurge of these diseases was reported worldwide. Our retrospective study, involving three Spoke Pediatric Departments, includes all the infants under one year of age hospitalized for HRSV bronchiolitis in a period before the Pandemic period (2017-2020), during the SARS-CoV-2 Pandemic (2020-2021), and after the Pandemic (2021-2023). The primary aim was to analyze the temporal trend of HRSV in these three periods. Then, the clinical and epidemiological characteristics were analyzed to highlight the clinical differences in the affected patients, in the severity of the infections, and in the short-term outcomes. Ultimately, we analyzed the HRSV prevalence in the global bronchiolitis hospitalization over the reported periods. Overall, we included 237 patients. Before the Pandemic, the peak was recorded in January and February, while after the Pandemic, the peak was in November and December. A higher prevalence of HRSV was demonstrated after the Pandemic compared to the period before the Pandemic; overall, no difference in severity was reported. In conclusion, an increase in HRSV cases after the Pandemic has been demonstrated with an anticipated peak, while no differences were recorded in severity.

A Review of Uncertainties in Power Systems—Modeling, Impact, and Mitigation

A comprehensive review of uncertainties in power systems, covering modeling, impact, and mitigation, is essential to understand and manage the challenges faced by the electric grid. Uncertainties in power systems can arise from various sources and can have significant implications for grid reliability, stability, and economic efficiency. Australia, susceptible to extreme weather such as wildfires and heavy rainfall, faces vulnerabilities in its power network assets. The decentralized distribution of population centers poses economic challenges in supplying power to remote areas, which is a crucial consideration for the emerging technologies emphasized in this paper. In addition, the evolution of modern power grids, facilitated by deploying the advanced metering infrastructure (AMI), has also brought new challenges to the system due to the risk of cyber-attacks via communication links. However, the existing literature lacks a comprehensive review and analysis of uncertainties in modern power systems, encompassing uncertainties related to weather events, cyber-attacks, and asset management, as well as the advantages and limitations of various mitigation approaches. To fill this void, this review covers a broad spectrum of uncertainties considering their impacts on the power system and explores conventional robust control as well as modern probabilistic and data-driven approaches for modeling and correlating the uncertainty events to the state of the grid for optimal decision making. This article also investigates the development of robust and scenario-based operations, control technologies for microgrids (MGs) and energy storage systems (ESSs), and demand-side frequency control ancillary service (D-FCAS) and reserve provision for frequency regulation to ensure a design of uncertainty-tolerance power system. This review delves into the trade-offs linked with the implementation of mitigation strategies, such as reliability, computational speed, and economic efficiency. It also explores how these strategies may influence the planning and operation of future power grids.

Evaluation of Greenhouse Gas Emissions and Mitigation Measures at Thammasat University's Lampang Campus in Thailand.

Greenhouse gases (GHGs) are the primary drivers of global climate change. Human activities, particularly those related to energy production, transportation, and industry, have long contributed to the escalating levels of GHGs in the Earth's atmosphere. Recognizing the significance of this issue, universities, including Thammasat University, play a vital role in Greenhouse gas (GHG) emissions research and education, carrying a responsibility to address the matter. This study is aimed aims to assess the greenhouse gas emissions and mitigation measures at Thammasat University (Lampang campus), Thailand. The emissions are categorized into 3 types: (1) direct GHG emissions; (2) energy-related indirect GHG emissions; and (3) other indirect GHG emissions. Activity data from the years 2019 to 2022 was used for the calculations, resulting in GHG emissions of 1051.70, 778.28, 558.64, and 1034.531 tons of carbon dioxide equivalent. Among these emissions, energy-related indirect GHG emissions from electricity purchases represent the majority, accounting for approximately 78.55% of the total emissions. Consequently, implementing mitigation strategies, such as solar panel installations and solid waste reduction (combined scenario), has the potential to reduce GHG emissions by up to 57.78%. Furthermore, the university should actively promote GHG emissions reduction through the enactment of energy-saving policies and the adoption of energy-efficient technologies to reduce reliance on energy purchases.

Fluoranthene adsorption by graphene oxide and magnetic chitosan composite (mCS/GO).

The oil industry faces the challenge of reducing its high polluting potential, due to the presence of aromatic pollutants, such as polycyclic aromatic hydrocarbons (PAHs). Efforts have been made to mitigate the impact of PAHs in industry through the development of detection technologies and the implementation of mitigation strategies. This study presents the adsorption of fluoranthene, through a magnetic composite of graphene oxide and chitosan as a method of remediation of produced water. The efficiency of the process was evaluated through kinetic, equilibrium, thermodynamic, and characterization analyses. The nanocomposite was able to remove 90.9% of FLT after 60 min and showed a maximum adsorption capacity of 28.22 mg/g, demonstrating that they can be implemented to remove fluoranthene. Kinetic and equilibrium experimental data showed that physisorption is the predominant adsorptive mechanism; however, the process is also influenced by chemisorption, which occurs through electrostatic interactions between the surface of the material and the adsorbate. The thermodynamic study showed that fluoranthene and graphene composite have high affinity, and that the adsorption is exothermic and spontaneous. The results presented in this paper indicate that the magnetic composite is a potential and sustainable adsorbent for fluoranthene remediation.

Environmental impacts of a digital health and well-being service in elderly living schemes

Over the past decade, digitalization and digital technologies (DTs) have undergone rapid evolution, transforming how goods and services are produced and consumed in modern societies. Health and well-being sectors have embraced this digital revolution. Besides the economic and social benefits, digitalization can significantly enhance patient diagnostics and prognostics while improving overall service efficiency. To ensure long-term sustainability, it is important to assess and reduce the environmental impacts of digital services. This article examines the life cycle impacts of a digital service implemented in three elderly living schemes (ELSs) located in the United Kingdom (UK). The digital service consists of six electronic devices (EDs) that enable communication between residents, visitors, staff, and offsite monitoring (OM). The equipment is connected using Power over Ethernet (PoE) technology, which includes smart network switch and uninterruptable power supply units. The digital service's global warming potential (GWP) was estimated at 718–741 kg CO2 eq./resident for two of the ELSs and 1509 kg CO2 eq./resident for a third ELS, considering a service period of 20 years. The reason for the significant difference is the greater use of air conditioner (A/C) units to cool down server rooms and fewer residents in the third scheme. The consumption of electricity was found to be the main contributor to most of the environmental impacts. However, in certain categories such as mineral resource scarcity, freshwater eutrophication, and freshwater and marine ecotoxicity potentials, printed circuit boards (PCBs) were the main contributors. A sensitivity analysis considering different national electricity mixes demonstrated that the French electricity grid promoted the reduction in 14 impact categories, whereas the German, Italian, Spanish and Japanese grids increased on average impacts on most categories. Another sensitivity analysis demonstrates that reducing A/C unit running time by 28% resulted in an average impact reduction of 5.5%, becoming equivalent to the results obtained for the French electricity grid. Finally, extending the expected lifespan of electronic equipment by 20% yielded the highest average decrease in environmental impacts (8.1%). While digitalization has the potential to enhance patient healthcare and reduce costs, it is crucial to carefully assess its environmental impacts and implement mitigation strategies to ensure sustainable development in the healthcare sector.

The quest for a geo-environmental factor in Moyamoya angiopathy: Is arsenic the elusive environmental agent?

Moyamoya angiopathy (MMA), a rare and enigmatic disease, has intrigued clinicians and researchers for over six decades since its first description. In this past decade, although significant strides have been made in genetic research in MMA, a low penetrance of the phenotype, has led researchers to invoke a geo-environmental agent in its causation. The geographical prevalence of MMA and geospatial maps, food habits, possible sources of industrial pollutant exposure, and groundwater data were examined. The clustering of cases in east Asia, Bangladesh and certain foci in the United States, corresponded with the high levels of arsenic in food and water sources. We propose a hypothesis of an association between arsenic exposure and MMA. The extrapolated genetic and molecular effects of arsenic that lead to moyamoya angiopathy are proposed in this paper. Arsenic could be the elusive environmental agent catalyzing the pathogenesis of MMA. This hypothesis could stimulate further research into the role of arsenic in the pathogenesis of MMA. Implementation of mitigation strategies could result in a reduction in the incidence of the disease.

Military training in the Canadian Pacific: Taking aim at critical habitat or sufficient mitigation of noise pollution impacts?

The Canadian Department of National Defence (DND) has approved the resumption of military activities within ‘Whiskey Hotel’, a 330 km2 area in the Strait of Juan de Fuca that overlaps the critical habitat of endangered Southern Resident Killer Whales in the northeast Pacific Ocean. Multiple Canadian and United States defense organizations use the area for training. The renewal of small-arms training follows a three-year cessation self-imposed by DND to allow a third-party consultant to investigate the risk in-air and underwater training noises pose to marine mammals. Here, we summarize the findings and limitations of the commissioned report and discuss the broader implications for mitigating aquatic noise pollution. The report evaluated the potential for marine mammals to experience injury, behavioral disturbances, and acoustic masking, and proposed mitigation measures (e.g., avoidance zones) to limit impacts. However, the narrow scope of the commissioned report prevented the investigation of the potential effects on non-mammalian taxa and the inclusion of vessel noise generated during training. Resuming military activities within the habitats of imperiled species is contentious among stakeholders. Nevertheless, the DND’s approach to examining noise pollution employs at least two of the precautionary principle’s four components, and their decision to commission a third-party investigation and implement mitigation strategies represents a framework rarely applied when evaluating the impacts of pollutants. The importance of this approach is magnified given the absence of federal underwater noise regulations, the pending development of Canada’s Ocean Noise Strategy, and multiple nations seeking to balance industrial and military activities with environmental stewardship.

Species substitution in goat yoghurt supply chain using melting-curve analysis

Mislabelling of dairy products has been widely reported worldwide but there are relatively few data available to help assess species substitution in goat yogurt. The purpose of this study was to investigate the presence of bovine and sheep milk in yogurt labeled as being made exclusively from goat milk, using qualitative real-time PCR. The results confirm that fermented products are targets for food species substitution, highlighting the undeclared presence of cow and/or sheep milk in 39.6% of samples analysed. Moreover, the study shows that the qualitative real-time PCR used here is a rapid, sensitive (LODabs of 0.015 ng/μL), specific (no primer-dimers or non-specific products in the reactions), straightforward and low-cost molecular tool for discriminating adulterants in the dairy supply chain. Therefore, melt-curve analysis is a promising tool for facilitating routine safety, quality and authenticity checks in the dairy industry, and for implementing mitigation strategies against fraudulent activities. Application of DNA-based approaches is crucial for designing an innovative food safety management system and for helping to implement both a Food Fraud Vulnerability Assessment and a Food Fraud Prevention Strategy as common practices in the dairy sector.

Potential Risks of Cloud Computing in Financial Institutions in Tanzania: Perspectives from CRDB Bank Plc

The adoption of cloud computing introduces a range of potential risks that financial institutions must navigate with prudence. Cloud service providers are entrusted with valuable customer information, and any compromise could have severe consequences, including financial losses and reputational damage. The main objective of this research was to assess the potential risks of cloud computing in financial institutions in Tanzania. This is done in the context of CRDB bank. The research employed a mixed methods approach, incorporating both quantitative and qualitative data collection methods. The data was acquired through questionnaires, specifically targeting the employee population of CRB bank. The data underwent quantitative analysis. The research sampled population is 201 respondents from ICT, legal and procurement departments at the financial institution. Cloud computing poses hazards that financial organizations must carefully manage. Security of sensitive financial data comes first. Any compromise of cloud service providers' client data could result in financial losses and reputational damage. Data privacy risks occur as legislative contexts change. Cross-border cloud services can challenge data sovereignty and local legislation. Another crucial factor is operational continuity. Financial institutions depend on uninterrupted service, putting them exposed to cloud service provider outages and technical issues. Maintaining financial services and client satisfaction are crucial. The regulatory compliance challenge is unique. Cloud computing requires vigilance in local and international legal systems. To retain financial ecosystem confidence, financial institutions must ensure their cloud-based solutions meet industry standards and laws. The study stressed the importance of a holistic strategy to cloud computing in financial institutions like CRDB Bank PLC. Cloud technology has many benefits, but stakeholders must be cautious and implement risk management and mitigation strategies. The conclusions of this study can help CRDB Bank PLC and other Tanzanian financial institutions make educated cloud technology implementation decisions. These decisions must prioritize financial system security, privacy, and resilience. The results also highlight the need for financial industry-regulatory cooperation to keep the regulatory framework up to date with technology.

Where does floating Sargassum in the East China Sea come from?

Floating macroalgae of Sargassum horneri (S. horneri) in the East China Sea (ECS) has increased in recent years, with ocean warming being one of the driving factors. Yet their possible origins, based on a literature review, are unclear. Here, using multi-sensor high-resolution remote sensing data and numerical experiments for the period of 2015–2023, we show two possible origins of the ECS floating S. horneri, one being local near the Zhejiang coast with initiation in January–February and the other being remote (> 800 km from the first) in the Bohai Sea with initiation in June–November. While their drifting pathways are revealed in the sequential remote sensing imagery, numerical experiments suggest that S. horneri from the remote origin (Bohai Sea) can hardly meander through the strong Yangtze River frontal zone, which may serve as a “wall” to prevent trespassing of surface floating seaweed to the south of the frontal zone, where S. horneri has a local origin. Plain language summarySargassum horneri (S. horneri) is a brown macroalgae (seaweed) abundant in surface waters of the East China Sea (ECS), which can serve as a moving habitat, but can also cause major beaching events and environmental problems. Knowledge of its origins is important to help implement mitigation strategies and understand possible ecological impacts along its drifting pathways. Using high-resolution remote sensing images and numerical experiments, we track floating S. horneri in space and time between 2015 and 2023. Two possible origins are identified, one being far away from the ECS and the other being local, both of which are known to have benthic S. horneri. The study also reveals how S. horneri are transported from their source regions resulting in large-scale distributions previously observed in medium-resolution satellite imagery.

Do gender differences exist in letters of recommendation for reproductive endocrinology and infertility fellowship?

Objective(s)To determine if gender differences exist in letters of recommendation for Reproductive Endocrinology and Infertility fellowship. DesignCohort study SettingAcademic medical center SubjectsCohort of applicants to a reproductive endocrinology and infertility fellowship program at single Midwestern academic institution in a single year. Intervention(s)None Main Outcome MeasureQuantitative measures included linguistics inquiry and word count analysis, with four summary variables and twenty-five word categories, to quantify tone and themes present by gender. Performing qualitative analysis in parallel to linguistic analysis allowed for exploration of themes not conveyed in quantitative methods alone. Qualitative measures included frequency of code themes in letters of recommendation by applicant gender. Result(s)There were 272 letters from 72 applicants, 54 (76%) of which were women and 17 (24%) were men. One applicant was excluded because gender information was not specified; 269 letters were included in the quantitative linguistics and qualitative coding analysis. One hundred ten letters (41%) were written by women, and 159 (59%) by men. Letters of recommendation written for men had higher mean word count than those written for women (537 vs 474, p=0.04).Linguistics Inquiry and Word Count analysis exhibited more risk words used to describe men applicants (p=0.01). When comparing word categories by letter writer gender, women letter writers more frequently used communal, affect, and home word categories while men writers more frequently used affiliation-related words.Qualitative analysis revealed that letters for men applicants described leadership, altruism, rapport with patients, and strong endorsements more frequently, while women applicants’ letters more often mentioned doubt raisers and disclosures of personal life. Additionally, letters for women applicants more often described candidates as drama-free, not easy to “fluster,” and not complainers. Further, letters for women more frequently disclosed parenthood status. Conclusion(s)Gender differences exist among both letter writers and applicants. Qualitative analysis revealed that women applicants were more likely to be described with doubt raisers and personal life disclosures, while men were more likely to be described by their altruism and with a strong endorsement. Increasing bias awareness and implementing mitigation strategies would improve gender equity in letters of recommendation.

60 NICU Manager’s Perception of High Unit Activity and Its Association with Patient Care in the Neonatal Intensive Care Unit

Abstract Background Each year, 15,000 critically ill neonates require specialized care that is offered in only 32 tertiary neonatal intensive care units (NICUs) in Canada. Previous studies have shown associations between nurse-to-patient ratios and higher bed occupancy with patient outcomes. Objective To explore neonatal managers’ perceptions of organizational factors in Canadian NICUs. Methods This was a web-based cross-sectional survey, consisting of 20 questions pertaining to the determinants of resource allocation, the ascertainment of high occupancy state, as well as the different challenges and mitigation strategies implemented during periods of high unit strain. The survey was designed following the CHERRIES guidelines and was critically reviewed through a two-round validation process prior to deployment. It was sent by e-mail to the unit managers of all Canadian Level-3 NICUs between August and November 2022. They were invited to respond based on their unit’s practices in 2021. The analysis was conducted using descriptive statistics, where units were dichotomized by size (small unit ˂36 beds, large unit ≥36 beds). Results A total of 24 unit managers (75%) completed the survey. Most respondents relied exclusively on clinical judgment to estimate the total number of nurses required per shift (33%) and the individual nurse-to-patient ratios (67%) as opposed to nursing workload assessment tools (8% and 21%, respectively). The response for the proportion of nursing shifts perceived as adequately staffed was: 0% for 100% adequately staffed, 37% for ˃80% adequately staffed, and 27% for 60%-80% adequately staffed. The response for the proportion of nursing shifts perceived as understaffed to the point of being unsafe for patient care was: 17% for no understaffed, 52% for ˂20% understaffed, and 9% for 20%-40% understaffed. The most common organizational challenges were personnel recruitment and unit occupancy (each reported as being a major issue by 38% of respondents). Although most (75%) respondents believed that high occupancy, especially when exceeding 90%, likely increases the risk of adverse patient outcomes, they revealed implementing mitigation strategies to reduce occupancy only when it exceeded 95%. At that point, the most common strategies implemented were to call for additional voluntary nurses, implement voluntary nursing overtime, and accelerate patient transfer. Conclusion Although Canadian NICUs form a very heterogeneous group, managers shared similar perspectives in terms of staffing and occupancy challenges. This emphasizes the need for collaborative NICU person-power resource management practices to improve neonatal intensive care service organization.

Seismic and Tsunami Risk Analysis for Installing Resilient Power Systems Based on Isolated Microgrids on Buildings: The Case of Puerto Ayora in Santa Cruz Island, Galapagos

Due to their geographical condition and worldwide environmental protection policies, the Galapagos Islands must opt for implementing clean energy infrastructure considering natural hazard effects that can directly affect the resilience of community residents. Santa Cruz Island is part of this archipelago, with rich biodiversity in flora and unique fauna. This study proposes identifying earthquake and tsunami risk assessment components on the island, such as the infrastructure vulnerability of Puerto Ayora, the central city of Santa Cruz Island. The FEMA P-154 and FEMA P-646 methodologies are used to classify buildings for technically installing microgrids based on photovoltaic generation systems. For this purpose, maps and data from state entities are used in combination with catalogs from development and land use planning, Software for Geoprocesses and virtual tours, and cadastral information provided by the Decentralized Autonomous Government (GAD) of Santa Cruz to develop techniques that offer a risk index to identify buildings that could sustain seismic and tsunamic loads. The study exposes alarming results that would prevent the installation of photovoltaic generation systems on the buildings’ roofs. Consequently, a more detailed field study is recommended to contrast the reported analysis to implement mitigation strategies accordingly. Finally, geoprocesseced maps are presented, in addition to general installing recommendations for the photovoltaic system’s infrastructure.