bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk-aware navigation in industrial plants at risk of NaTech accidents
Authors: O'Reilly Gerard , Shahnazaryan Davit , Dubini Paolo , Brunesi Emanuele , Rosti Annalisa , Dacarro Filippo , Gotti Alberto , Silvestri Davide , Mascetti Sergio , Ducci Mattia , Ciucci Mariano , Marino Alessandra 
Published: November 2022

Abstract

Industrial plants are quite susceptible to NaTech disasters during earthquakes caused by damage to structural and non-structural components and the potential release of toxic materials. To mitigate and manage this risk, the ROSSINI project was initiated and its results are described here for what concerns industrial plant worker safety and their risk-based navigation in emergency situations. The project includes a data acquisition system consisting of a data acquisition board and an array of different sensor technologies, which process the seismic event and other meteorological information before passing them as inputs towards the risk identification and evaluation (RIE) modules. Here, the risks associated with structural and non-structural damage and health risks associated with the release of harmful substances are estimated and combined to form a navigable risk map. This map is used within a purpose-built risk-based navigation application for the safe egress of workers from an industrial plant. To demonstrate the implementation of this system, two case-study industrial plant layouts consisting of buildings, non-structural components, liquid storage tanks, piping systems, and chemical storage vessels, were devised. This paper describes the project’s implementation in these contexts and illustrates the results via several example scenarios.
Cause-specific mortality in workers employed in the removal and disposal of asbestos-containing material after the ban
Authors: Scarselli Alberto , Corfiati Marisa , Marinaccio Alessandro 
Published: November 2022

Abstract
Purpose
Asbestos is a human carcinogen and can cause some types of cancer, including mesothelioma. A relevant number of workers are still engaged in asbestos removal and disposal activities, whose actual risk of asbestos-related diseases is still scarcely recognized. The main objective of this study is to assess the cause-specific mortality among workers involved in asbestos removal and disposal after the ban in Italy.
Methods
Data from the Italian national registry on occupational exposure to carcinogens (SIREP) in the period 1996–2018 were selected. Proportionate mortality ratios (PMRs) by cause of death were calculated linking exposure occupational information to national mortality statistics (2005–2018), assuming a Poisson distribution of the data.
Results
A total of 142 deaths were identified among 13,715 asbestos removal and disposal workers. A significant excess (p < 0.05) of mesothelioma deaths was found among male workers, about five fold the expected. A significant increase in the mortality ratio was also found for malignant skin melanoma.
Conclusions
Epidemiological surveillance and promotion of prevention action plans are highly recommended for workers engaged in asbestos removal and disposal activities, to ensure compliance with regulatory requirements and reduce the still relevant risk of contracting the related tumour pathology.
Playing the victim behavior: An experimental study
Authors: AKIN ZAFER 
Published: November 2022

Abstract
This paper experimentally explores playing the victim behavior, how prevalent it is, its determinants, and potential mechanisms to mitigate it with a subject pool from two regions (UAE and North America). The possibility of playing the victim is introduced by letting some participants receive a negative shock to their initial endowments, after which they can apply for extra compensation even when they do not receive the shock. We find that the majority of participants play the victim. We then test whether defaults and signing an honesty oath influence this behavior. We find, contrary to intuitions, that the omission treatments, where lying is a default, failed to increase misrepresentation, and if anything decreased it, while the oath substantially reduced it as expected. Moreover, the extent of pro-sociality and perceived social norms are found to be strongly related to playing the victim behavior. The findings are very similar across regions. Our findings offer some insights to design better policies to support victims, especially during crises such as the Covid-19 pandemic.
Specialist Nurse-led Territorial Nosocomial Infection-control Practices in Pediatric Fever Clinics During COVID-19
Authors: Qin Fanghua , Xie Jianhui , Liao Yinan , Song Qingqing , Lu Huibin , Zhu Lihui 
Published: November 2022

Abstract
Background/Objective: Fever is one of the commonest symptoms in children, and accounts for one third of the common clinical symptoms of childhood diseases. Most cases of pediatric fever were related to viral infection, especially during the COVID-19 pandemic. This randomized controlled trial aimed to establish specialist nurse-led territory nosocomial infection-control practice, and to evaluate the effect of this practice in a pediatric fever clinic.
Methods: Scores of nosocomial infection-prevention and control knowledge of staff in different positions at the fever clinic and the quality of nosocomial infection prevention and control in fever clinic from before to after implementation of the intervention were compared. Participants were the staff of a fever clinic in a tertiary children's hospital in China. We adopted routine nosocomial infection-control practices before the implementation (April−August 2021) and then a Specialist-Nurse-led Infection-control Practices from October 2021 to February 2022.
Results: The score of nosocomial infection-prevention and control knowledge of staff in different positions of the fever clinic improved from 77.16±13.372 to 93.51±8.429. The quality score improved from 85.70±3.420 to 94.20±2.191 after the intervention. The difference was statistically significant (P < 0.05).
Conclusions: Specialist nurse-led territory nosocomial infection-control practice can effectively improve the staff's knowledge and the quality of nosocomial infection prevention and control in pediatric fever clinics.
English Characters Recognition by Stroke Features and Lightweight Artificial Intelligence
Authors: Chen Chung-Hsing , Huang Ko-Wei 
Published: November 2022

Abstract
There are many different recognition methods for English characters, and there are a lot of books mentioned those recognition methods, but font always a main factor that affecting recognizability. The recognition process starts from document’s layout analysis and pre-processing to text segmentation, optical character recognition (OCR) and post-processing, these stages both will affect recognition result. However, most stages are hard to influence by font except OCR stage, and there are more than 50 common English fonts, so this cause the current OCR can not fit every font, this is similar with most classic binarization methods cannot face all situations, cannot separate all images from the foreground and background that the background is cleared, and get the foreground we want. Moreover, how do humans learn how to write the English alphabet? It starts with strokes. Thus, what are strokes? It’s a combination of lines in different directions, so those different direction lines are an important feature. The traditional Artificial Intelligence (AI) Network will be trained by the pre-processed graphics to get the desired model; however, when the traditional methods face different fonts that might because different fonts do not have clear features reduce network learning efficiency, and also will affect the accuracy of subsequent predictions. To efficiently enhance the learning process, this research adopts the stroke feature and is further trained by a lightweight AI network to accelerate predictions , referred to as VLNet (Very Lightweight Network). Strokes feature extraction can reduce the amount of graphics data, which means that the input of training is reduced and the architecture of the network is simplified. Those factors can make the network smaller and more efficient, and also reduce the computing requirements, so it will suitable for edge computing. The experimental result shown that the accuracy of unknown fonts is 97.81% is better than LeNet’s 96.67% and AlexNet’s 91.15%, and the accuracy of know fonts is 99.1% is better than LeNet’s 98.59% and AlexNet’s 95.48%. Then when using Raspberry Pi 4B per character predicted time is between 4.44ms and 4.61ms.
Characterization of Hexahydrocannabinol (HHC) Diastereomers, and Hexahydrocannabidiol (H4CBD) Diastereomers Using NMR, HPLC, and GC-MS
Authors: Collins Arianna C. , Ramirez Giovanni A. , Tesfatsion Tesfay T. , Ray Kyle P. , Cruces Westley 
Published: November 2022

Abstract
The characterization of any compound is important in the field of chemistry, as the field of cannabinoid chemistry grows so does the need for the characterization of new cannabinoids or rare cannabinoids that gain popularity within the consumer and research fields. Hexahydrocannabinol (HHC) a hydrogenated analogue of ∆9-THC, also found in trace amounts naturally within the cannabis sativa plant, has been gaining attention and popularity within the cannabis industry. Hexahydrocannabidiol (H4CBD) is a synthetic hydrogenated analogue to Cannabidiol (CBD) used in conjunction with or substitute for CBD. Identifying the Diastereomers of the cannabinoids with instrumentation plays a huge role within the chemistry field adding valuable information of the structure and the parameters for others to identify such cannabinoids. Elucidation and characterization of HHC and H4CBD was performed using current analytical techniques such as NMR, HPLC, and GC-MS, effectively characterizing both the Diastereomers of HHC and H4CBD.
Effect of packages types and some treatments on wheat seed during storage
Authors: El-Seidy El-Sayed , Rashwan Emad El-Deen , Selim Amal , Hammad Esraa 
Published: November 2022

This experiment was conducted at the laboratory of Seed Technology Sakha Agricultural Research Station, Kafr EL-Sheikh, Egypt, during the period between 2018 and 2019 seasons. The aim of this study was to evaluate the effect of packages types and some treatments on wheat seed during storage. The experiment was designed in factorial experiment in completely randomized design with four replicates. The samples were treated with the recommended dose of malathion, recommended rate of phosphine, the powders and extracts of each of (ficus, camphor, clove), the powder of copper nanoparticles and untreated seed as a control treatment. Treated seed were stored in different packages (Jute, Plastic and Polyethylene) for 18 months. The most important results can be summarized as follows: Increasing storage periods of wheat seed up to 18 months significantly affected storage efficacy, vitality and quality of wheat seed. The best results of storage efficacy of wheat recorded when seed stored in polyethylene packages, followed by seed stored in jute packages and lastly stored in plastic packages. Seed treated with copper nanoparticles were the best in germination percentage, electrical conductivity, acidity, protein percentage, carbohydrate percentage, relative density and 1000-seed weight. While treatment with malathion was the best in acidity, relative density, 1000- seed weight and insect infestation percentage. As for phosphine, it was the best in moisture percentage, insect infestation percentage and weight loss percentage. This study recommended that treated seed with copper nanoparticles before storage and stored it in polyethylene packages under the environmental conditions of the experiment in Sakha, Kafr EL-Sheikh, Egypt.
Account of navigational hazards when the ship and the target are avoiding collision at small distances
Authors: Kalinichenko Tetiana , Kalinichenko Yevgeniy , Tymoshchuk Olena 
Published: November 2022

Successful, fast and high-quality solution of the important problem of ensuring the safety of navigation and navigation leads to a significant improvement in the protection of human life at sea, as well as to a constant reduction in harm to the environment, property and other equally priority production processes in maritime transport.
The navigation of modern large-capacity and high-speed ships of large sizes in cramped and limited areas is complicated by intensive navigation, with a much greater presence of navigation hazards and navigational obstacles that create the prerequisites for the occurrence of complex, non-standard and, sometimes, even emergency situations. Therefore, more than 80 % of all navigational accidents occur every year in cramped and difficult for safe navigation waters, which confirms the great complexity and danger of navigation conditions in cramped and limited waters.
This article is devoted to taking into account various navigational hazards when choosing a safe maneuver for divergence between the ship and the target at small distances between them.
The case of taking into account a point navigational hazard in the case of an excessive approach of a ship to a dangerous target is considered. For a situation of emergency divergence of a ship with a dangerous target, a choice of a safe evasive course is proposed, taking into account the linearly distributed navigational hazard.
The aim of the article is the procedure for analytical accounting of navigational hazards when the ship and the target diverge at short distances
Methodical approach to increase the speed of decision-making in information systems
Authors: Artabaiev Yurii , Shknai Oleh , Mordvinov Serhii 
Published: November 2022

The relevance of the research lies in the need to increase the efficiency of the process of evaluating the object of evaluation while ensuring the given reliability, regardless of the hierarchical construction of the object of evaluation. The object of research is information systems. The subject of the study is the efficiency of the evaluation process. The hypothesis of the study is to increase the efficiency of the process at a given reliability. In the study, an improved methodology for increasing the efficiency of the evaluation process based on bio-inspired algorithms was proposed. In the course of the conducted research, the general provisions of the theory of artificial intelligence were used to solve the problem of analyzing the state of objects in intelligent decision support systems.
The essence of improvement is to use the following procedures:
− taking into account the type of uncertainty about the state of the object of evaluation;
− taking into account the degree of the noise of the data on the state of the object of evaluation;
− using the ant algorithm and the genetic algorithm to find the path metric when evaluating the state of the evaluation object;
− deep learning of synthetic ants using evolving artificial neural networks.
An example of the use of the proposed methodology is presented in the example of the assessment of a hierarchical object. The specified model showed a 15−22 % increase in data processing efficiency due to the use of additional improved procedures
The Urgency of Spiritual Healing during the Coronavirus Outbreak
Authors: Majid M. Kharis , Roini Winda , Ayu Wardani Azmi Putri , Sabrina Maulida Hasyyah 
Published: November 2022

Pandemic COVID-19 has led to a sharp decline in the economic aspect, educational activities considered less effective, and difficulty performing worship. As a result, people's anxiety has increased dramatically. This study aims to reveal the urgency of spiritual healing in the life of the community during the Pandemic COVID-19 to answer the challenges of how effective it is in tackling the crucial erosion of spirituality amid society. This article is library-based research, and the data were gathered using documentary approaches. With the descriptive analysis approach, using al-Ghazālī's idea of Ma'rifatullāh, this study found that Ma'rifatullāh, through self-recognition, will lead someone to a more peaceful and calmer situation. Its position as a centre of spiritual healing in Taṣawwuf teachings is very effective in overcoming the crisis experienced by the community during the pandemic. Thus, the anxiety and worldly concerns will transform into peace and tranquillity.Contribution: This article reveals that self-tranquillity and peace are sometimes not dealing with worldly affairs. Instead, it is about spiritual things. However, many tend to forget that the root of their tranquillity is found in the spiritual dimension.
Genistein Effects on Various Human Disorders Mediated via Nrf2
Signaling
Authors: Shirvanian Kasra , Vali Reyhaneh , Farkhondeh Tahereh , Abderam Amir , Aschner Michael , Samarghandian Saeed 
Published: November 2022

Abstract:
Genistein is a flavonoid, mostly found in soybean extract and is widely used
for its antioxidant and anti-inflammatory activities. Genistein can interact with estrogen
receptors due to its structural similarities to estrogen. It also inhibits protein tyrosine
kinases and affects a variety of intracellular signal transductions. Genistein attenuates
oxidative stress via diverse cellular mechanisms. However, nuclear factor (erythroidderived
2)-like 2 (Nrf2), the main antioxidant regulator, potentiates genistein's
antioxidant effects and reduces cell damage. Nrf2 includes of seven domains and
controls the expression of the phase II antioxidant enzymes to decrease oxidative
stress. In this review, we address findings related to Nrf2 signaling pathways in the
context of genistein’s effects on diverse human diseases.
Prevalence of Mood Disorders and Associated Factors at the Time of the COVID-19 Pandemic: Protocol for a Community Survey in La Manouba Governorate, Tunisia
Authors: Ouali Uta , Aissa Amina , Rjaibi Salsabil , Zoghlami Nada , Zgueb Yosra , Larnaout Amine , Zid Mejdi , Kacem Imen , Charfi Fatma , Moro Maria Francesca , Touihri Nadia , Melki Wahid , Aounallah-Skhiri Hajer , Nacef Fethi , Gouider Riadh , El Hechmi Zouhaier , Carta Mauro Giovanni 
Published: November 2022

Aims:
The present survey aims to assess the overall mood disorder prevalence and identify associated socio-demographic and clinical factors in a Tunisian community sample, with special attention to the COVID-19 pandemic.

Background:
Mood disorders are one of the leading causes of all non-fatal burden of disease, with depression being at the top of the list. The COVID-19 pandemic may have increased the prevalence of mood disorders, especially in Low and Middle income countries (LMICs) and in vulnerable populations.

Objectives:
1. Assess point and lifetime prevalence of depressive and bipolar disorders as well as subthreshold bipolarity in a representative population sample of La Manouba governorate and assess treatment patterns for these disorders.
2. Study socio-demographic and clinical correlates of mood disorders
3. Assess the association between mood disorders and quality of life
4. Study the impact of the COVID-pandemic on the prevalence of mood disorders
5. Assess coping mechanisms to the COVID-pandemic and whether these mechanisms moderate the appearance of mood disorders or symptoms since the beginning of the pandemic

Method:
This is a household cross-sectional observational survey to be conducted in La Manouba Governorate in a sample of 4540 randomly selected individuals aged ≥ 15 years. Data collection will be carried out by trained interviewers with clinical experience, through face-to-face interviews and the use of the computer assisted personal interviewing approach (CAPI). The following assessment tools are administered:

Result:
Structured clinical Interview for DSM IV-TR (Mood disorder section and Screening questions on Anxiety), Mood Disorder Questionnaire (MDQ), Suicide Behaviors Questionnaire-Revised (SBQ), 12-item Short Form Survey (SF-12), the Brief-COPE, and a questionnaire about headache. In addition, socio-demographic and clinical data will be collected.

Conclusion:
This will be one of the very few household surveys in a general population sample to assess mental health problems and COVID-19 related variables since the beginning of the pandemic. Through this research, we aim to obtain an epidemiological profile of mood disorders in Tunisia, and an estimation of the impact of the COVID-19 pandemic on their prevalence. Results should contribute to improving mental health care in Tunisia.
Reasons for Avoiding their Local Clinics among Non-emergency Patients at Accident and Emergency Department, Pretoria, South Africa
Authors: Thaba Tebogo , Madela-Mntla Edith , Ramochele Margaret , Nzaumvila Doudou 
Published: November 2022

Background:An accident and emergency department (AED) is designated for patients who need to be seen urgently. However, at Jubilee Hospital, a large number of patients regularly presented directly to the AED with minor ailments. This resulted in long queues in the already overcrowded waiting room.Methods:A cross-sectional study design with a sample of 289 participants.Results:Those aged 21-40 years accounted for 44.6% of the participants. Patients mainly arrived on Fridays (72%), and medical-related complaints (128; 44.3%) were the most prevalent. In addition, patients primarily relied on public transportation to get there (180; 62.1%). In most cases, patients had previously visited clinics more than twice (141; 58.8%). Majority of patients were aware of the community health centres’ services. Only 33.6% of the clinics that were bypassed provided services 24 hours a day. Almost 80% of bypassed clinics were within 10 km of the District Hospital. Patients’ main reasons were long queues (89.6%) and medication shortages (67.6%). In 51.2% of cases, patients were aware of the referral system, but 14.5% did not think it made sense, and 11% did not understand it well.Conclusion:Proper strict application of the triage system and education of patients will decrease emergency department overcrowding. This will improve patient safety, clinical outcomes and the efficiency of the health system. In addition, changing local clinics’ operating hours will assist in reducing the high number of patients seen at Jubilee Hospital.