Intelligent Filling Method of Power Grid Working Ticket Based on Historical Ticket Knowledge Base

The traditional power grid ticket filling method has a large workload, low efficiency, and cannot achieve comprehensive and effective reference of historical tickets. This paper proposes a method of intelligent filling in a power grid working ticket based on a historical ticket knowledge base. Firstly, the historical ticket data are preprocessed, then the historical ticket information is mined by the association rule algorithm, and the method of establishing the historical ticket knowledge base is proposed. Based on the improved word bag model, an intelligent grid work ticket filling model is established based on the historical ticket knowledge base, and the correctness of the method is verified by an example. The results show that the accuracy of the proposed method is at least 18% higher than that of the traditional model, and the matching efficiency is 50% higher than the evaluation results of the three models based on semantic expressions. The method enables the identification and extraction of similar and associated work tickets, improves the efficiency of filling work tickets for power grids, and promotes the intelligence of the safety procedures for power grid operations.

Shipping Accidents Dataset: Data-Driven Directions for Assessing Accident’s Impact and Improving Safety Onboard

Recent tragic marine incidents indicate that more efficient safety procedures and emergency management systems are needed. During the 2014–2019 period, 320 accidents cost 496 lives, and 5424 accidents caused 6210 injuries. Ideally, we need historical data from real accident cases of ships to develop data-driven solutions. According to the literature, the most critical factor to the post-incident management phase is human error. However, no structured datasets record the crew’s actions during an incident and the human factors that contributed to its occurrence. To overcome the limitations mentioned above, we decided to utilise the unstructured information from accident reports conducted by governmental organisations to create a new, well-structured dataset of maritime accidents and provide intuitions for its usage. Our dataset contains all the information that the majority of the marine datasets include, such as the place, the date, and the conditions during the post-incident phase, e.g., weather data. Additionally, the proposed dataset contains attributes related to each incident’s environmental/financial impact, as well as a concise description of the post-incident events, highlighting the crew’s actions and the human factors that contributed to the incident. We utilise this dataset to predict the incident’s impact and provide data-driven directions regarding the improvement of the post-incident safety procedures for specific types of ships.

Collegiate Athlete Experiences with COVID-19 and Attitudes About Returning to Sport

When COVID-19 was declared a global pandemic, collegiate athletic departments faced the difficult decision to postpone or cancel sport activities. Aside from concerns of transmission, disruptions in sport impacted college athletes broadly. This study was designed to investigate athletes’ experiences during the pandemic toward developing a better understanding of athletes’ attitudes about COVID-19 and returning to sport. Participants included 245 varsity collegiate athletes across NCAA sports and divisions who voluntarily completed an online survey between August and October 2020. Collegiate athletes reported significant impacts of COVID-19 on areas including mental health, physical fitness, and academic progress. Approximately one in four participants reported that they had tested positive for COVID-19 at some point between the onset of the pandemic and completing the survey. Less than half of the respondents, however, endorsed worry about exposure to COVID-19 while participating in their sport. Most collegiate athletes reported satisfaction with their athletic department’s response to COVID-19 and adherence to guidelines and recommendations. Temperature checks, sanitation of equipment and regular COVID-19 testing were among the top recommended procedures endorsed by participants. Some athletes, however, reported concerns about feasibility of safety procedures for their particular sport. Overall, respondents demonstrated eagerness to return to sport despite COVID-19 related risks.

Adventure travel and the Covid-19 pandemic — recommendation of the Medical Commission of the Union Internationale des Associations d’Alpinisme (UIAA)

Lots of information is available by news, internet, social media, press and medical papers. However there is a lack of specific information on how to manage the COVID risk while mountaineering. The paper should assist mountaineers and agencies to fulfill safety procedures en route.

META ANALYSIS METHOD OVERVIEW OF MODELS USED IN OCCUPATIONAL SAFETY TRAININGS

In this study, an analysis of independent studies dealing with occupational safety training in different learning environments, in which various learning materials are used, was carried out. As a method, meta-analysis method was used. For this purpose, databases were used to collect national and international articles and papers suitable for the purpose of the study. Studies that did not mention the tools, equipment and environment used in education in the collected studies were excluded from the research, and 18 studies were included in the meta-analysis. The data obtained studies are categorized according to the education models, the sectors in which the education is applied and the characteristics of the participants in the education. As it is known, occupational health and safety procedures aim at a healthy and reliable working environment for its employees. However, the ultimate goal is to raise not only employees but also future generations with this awareness. The most important instrument of this is undoubtedly education. For this reason, it is necessary to develop training models suitable for the work environment, age, gender and every conceivable situation.

Serious Injuries and Fatalities: A Study of Data and Prevention Strategies

Serious injuries and fatalities (SIFs) occurring in the workplace have become a significant focus in the field of safety. Over the past 20 years there has been a steady decline in the prevalence of all injuries, however the rates of SIFs have plateaued in recent years, contrary to Heinrich's Triangle. In one of the largest studies of its kind, we set out to identify trends and common factors of SIF incidents to identify strategies to reduce the risk of SIF incidents occurring. We have studied OSHA log records and OSHA recorded fatalities of over 50,000 companies over multiple years broken down by numerous different indicies including industry, age, day of the week, body part affected, type of incident and severity of incident to give a picture of SIF prevalence and trends. This data has also been cross referenced against qualititive information of these companies to identify trends, commonalities and disparities in order to identify causes and opportunities for improvement. The data reported on has shown different risk groups for SIF incidents occurring, that 60% of companies are at low risk of SIF incidents occurring and identifying the highest risk injuries for SIF events occurring (drilling and construction work). In addition, seemingly random factors such as day of the week and month of they year are found to statistically vary, presenting opportunities for targetted outreach based on this data in order to reduce risk. Furthermore, the study reveals companies who work with chemicals, performing welding work and work at heights should be the top targets for SIF prevention intervention, whilst the impact of heavily regulated industries (e.g., PSM facilities) and ensuring organisations have good safety procedures are linked to lower risks of SIF events occuring. This information is of valuable use for all organisations who are interested in truly understanding the root causes of incidents and learning techniques to achieve a Vision Zero of a reduction of incidents, particularly serious injuries and fatalities, to the lowest possible level. A no-blame culture to the accurate reporting of incidents is also vital to a deeper understanding of causation and prevention.

COFLEX: FLEXIBLE BRACELET ANTI COVID-19 TO PROTECT CONSTRUCTION WORKERS

To implement the protocol contrasting the diffusion of Covid-19, the employer is required, to ensure the safety and health of the worker at work, to adopt measures related to the control of body temperature (with respect for privacy), the minimum distance during work and all other activities such as breaks, canteen breaks, access to toilets, in addition to the adoption of specifically developed safety procedures, such as e.g. the use of man-down detection devices. In this context, the project aims to illustrate a system able of providing support in the safeguarding of workers' health on construction sites. This system, based on information received from sensors capable of identifying workers' positions (e.g., if less than 1m away) and their vital parameters (e.g., body temperature, gasped breathing), as well as moving objects inside the construction site area (e.g., to check if a worker is passing under a moving crane), will raise early alerts directly to the workers and/or to the central software, with respect for privacy, to immediately activate all the necessary measures to mitigate the risk. The system, based on the data communicated by the various sensors, will store and process them for the purpose of extracting useful information for risk management. The proposed system configured itself as a new product taking advantage from a high Technology Readiness Level maturated from the Smart Safety Belt already developed by some of the authors.

Pengalaman Perawat Menerapkan Prosedur Keselamatan Pada Klien Lanjut Usia

Patient safety procedures need to be done to prevent patient safety incidents. The purpose of the study is to explore the experience of room nurses applying patient safety procedures to elderly clients. Qualitative research design with phenomenological study approach. Participants are implementing nurses who have experience in caring for elderly patients as many as 6 nurses. Data collection was stopped when the data received were saturated through in-depth interviews. The method of analysis was the Interpretative phenomenological analysis (IPA). This research has passed the ethical clearance. Based on the results of the analysis, there are seven themes that can be found, namely understanding patient safety, the concept of elderly, forms of patient safety, supporting factors, inhibiting factors, efforts to overcome obstacles and the benefits of bothering patient safety procedures. Nurses' understanding of patient safety is an action to prevent incidents from occurring due to an action taken on the patient. In carrying out patient safety procedures for the elderly, the nurse finds several supporting and inhibiting factors. Nurses and patients feel safe when patient safety procedures are performed properly. Patient safety is a procedure that is closely related to the actions taken by the nurse. The experience of nurses in applying safety procedures to elderly clients provides a sense of security when take an action. Keywords: elderly, nurse, patient safety