bluuebunny/crossref_metadata_2025 huggingface dataset:
Model to Determine the Best Modifications of Products with Consideration Customers’ Expectations
Authors: Ostasz Grzegorz , Siwiec Dominika , Pacana Andrzej
Published: November 2022

The current situation in the energy market contributes not only to the sales growth of photovoltaic panels (PV) but also to the intense search for possibilities for its improvement. The purpose of this research was to develop a model to determine, where possible, the most beneficial modifications to improve products. The model used combination techniques, i.e., the SMARTER method, brainstorming (BM), the 7 ± 2 rule, questionnaire, ant colony optimization (ACO), and importance-performance analysis (IPA). In addition, an algorithm supporting ACO was proposed in the MATLAB program. The test was carried out on PV and showed that it is possible to determine the way of product (PV) improvement by determining a sequence of modifications for product criteria states while simultaneously considering customers’ expectations. It was shown that each state of the short-circuit electricity and peak power was satisfactory for customers. It was necessary to modify the maximum current and idle voltage. In addition, the selected modification states of the weight and dimensions will be more satisfactory compared to the current states. The proposed model is based on searching for the best changes in product criteria to achieve the highest possible customer satisfaction (i.e., product quality level). Originality is the ability to define a product improvement method (PV) depending on customer expectations but also taking into account the requirements of the company.
Thermoelectric Micro-Scale Generation by Carbonaceous Devices
Authors: Miccio Francesco
Published: November 2022

The paper reports on research focused on the use of largely available carbonaceous materials, such as graphite, carbon black and chars, as thermoelectric materials for micro-generation at high temperature. The key feature is the possibility to ignite the thermoelectric device to self-sustain electric generation. The results of the tests performed with such materials, under both cold and hot conditions, showed that a significant change of the electromotive force, with absolute increase up to three orders of magnitude, occurred under hot conditions with flame irradiation, achieving measured values of electromotive force up to 55 mV, in the best case. Monoliths based on biomass chars and covered with a layer of gunpowder gave rise to similar variation of the Seebeck coefficient, as the case of the flame exposed samples. This result confirms the basic idea of the investigation and the possibility of generating an electrical peak in a self-sufficient combustion thermoelectric device with power up to 1.0 W. A theoretical assessment has been proposed to provide an interpretation of the observed phenomenology, which is related to the non-linear dependence of the material properties on temperature, in particular the Seebeck coefficient and thermal conductivity.
Proton-Exchange Membrane Fuel Cell Balance of Plant and Performance Simulation for Vehicle Applications
Authors: Vidović Tino , Tolj Ivan , Radica Gojmir , Bodrožić Ćoko Natalia
Published: November 2022

In this study, a newly developed zero-dimensional electrochemical model was used for modeling and controlling proton-exchange membrane fuel cell (PEMFC) performance. Calibration of the model was performed with measurements from the fuel cell stack. Subsequently, a compressor and a humidifier on the cathode side were sized and added to the existing model. The aim of this work was to model the PEMFC stack and balance of plant (BoP) components in detail to show the influence of operating parameters such as cathode pressure, stack temperature and cathode stoichiometric ratio on the performance and efficiency of the overall system compared to the original model using a newly developed real-time model. The model managed to predict the profile of essential parameters, such as temperature, pressure, power, voltage, etc. The most important conclusions from this particular case are: the cell power output is only slightly changed with the variations in stoichiometric ratio of the cathode side and adding an external compressor is valid only for high current applications, but in those cases, there is 10–22% power gain. Stack temperature is a very influential parameter. Optimal temperatures were determined through design of experiments (DoE) and for this case are in the 40–60 °C range, where for low current applications lower temperatures are better due lower activation loss (8% difference between 80 °C and 40 °C at 20 A current). For high current applications, due to lower ohmic losses, higher temperatures are desirable.
A Mini-Review on CO2 Photoreduction by MgAl-LDH Based Materials
Authors: Wang Changqing , Xu Jie , Zhou Zijian
Published: November 2022

In recent years, the rapid consumption of fossil fuels has brought about the energy crisis and excess CO2 emission, causing a series of environmental problems. Photocatalytic CO2 reduction technology can realize CO2 emission reduction and fuel regeneration, which alleviates the energy crisis and environmental problems. As the most widely used LDH material in commercial application, MgAl-layered double hydroxide (MgAl-LDH) already dominates large-scale production lines and has the potential to be popularized in CO2 photoreduction. The adjustable component, excellent CO2 adsorption performance, and unique layer structure of MgAl-LDH bring specific advantages in CO2 photoreduction. This review briefly introduces the theory and reaction process of CO2 photocatalytic reduction, and summarizes the features and drawbacks of MgAl-LDH. The modification strategies to overcome the drawbacks and improve photocatalytic activity for MgAl-LDH are elaborated in detail and the development perspectives of MgAl-LDH in the field of CO2 photoreduction are highlighted to provide a guidance for future exploration.
Streaming Electrification of Different Insulating Fluids in Power Transformers
Authors: Amalanathan Arputhasamy Joseph , Zdanowski Maciej , Sarathi Ramanujam
Published: November 2022

This paper presents a detailed review of the streaming electrification phenomena of different insulating fluids for power transformers. The comparison of different techniques used to assess the charging tendency of fluids is discussed depending on the flow type (planar or centrifugal), volume of oil, and interface material. The charge separation between the insulating fluid and metallic/pressboard interfaces is explained in terms of the electrical double layer formation involving a fixed layer and diffuse layer. Based on the experimental results, the streaming electrification is observed to be a function of various factors such as speed, temperature, electric field, and surface roughness. Depending on the molecular structure of insulating liquids that come into contact with solid insulation at the interface, the streaming current can increase; hence, a suitable additive (benzotriazole, fullerene, Irgamet 39) is selected based on the type of fluid and charge polarity. The degradation of the insulating liquid upon ageing, which increases the streaming current and reclamation of such aged fluids using adsorbents (Fuller’s earth, activated carbon, bentonite, and alumina), is a possible method to suppress the static current through improving its dielectric properties. The nanofluids show a higher streaming current compared to base fluid with no change observed even after the reclamation process. The energization process using alternating current (AC) and direct current (DC) impacts the streaming phenomenon depending on its magnitude and polarity. The diffusion of sulfur compounds in the insulating liquid is another major hazard to transformers because the sulfide ions affect the physio-chemical reaction at the interface material, which is responsible for the formation of streaming current.
Energy Security and Energy Transition to Achieve Carbon Neutrality
Authors: Rabbi Mohammad Fazle , Popp József , Máté Domicián , Kovács Sándor
Published: November 2022

Successful energy transitions, also referred to as leapfrog development, present enormous prospects for EU nations to become carbon neutral by shifting from fossil fuels to renewable energy sources. Along with climate change, EU countries must address energy security and dependency issues, exacerbated by factors such as the COVID-19 pandemic, rising energy costs, conflicts between Russia and Ukraine, and political instability. Diversifying energy sources, generating renewable energy, increasing energy efficiency, preventing energy waste, and educating the public about environmental issues are proposed as several strategies. The study draws the conclusion that central European countries may transition to a clean energy economy and become carbon neutral on economic and strategic levels by locating alternative clean energy supply sources, reducing energy use, and producing renewable energy. According to the study, the EU energy industry can be decarbonised and attain energy security using three basic strategies, such as supply diversification, energy savings, and quicker adoption of renewable energy to replace fossil fuels. The energy transformation industry still needs to improve energy efficiency, incorporate a circular and sustainable bioeconomy, and support renewable energies, including solar, wind, hydropower, nuclear, and hydrogen.
Seismic Description of Deep Strike-Slip Fault Damage Zone by Steerable Pyramid Method in the Sichuan Basin, China
Authors: Tang Qingsong , Tang Shuhang , Luo Bing , Luo Xin , Feng Liang , Li Siyao , Wu Guanghui
Published: November 2022

Large quantities of gas resources have been found in the Paleo-Mesozoic carbonate rocks in the Sichuan Basin. However, many wells cannot obtain high production in deep low porosity-permeability reservoirs. For this contribution, we provide a steerable pyramid method for identifying the fault damage zone in the Kaijiang–Liangping platform margin, which is infeasible by conventional seismic methods. The results show that steerable pyramid processing could enhance the seismic fault imaging and a series of NW-trending strike-slip faults are found along the trend of the carbonate platform margin. The steerable pyramid attribute presents distinct vertical and horizontal boundaries of the fault damage zone, and heterogeneous intensity of an un-through-going damage zone. The width of the fault damage zone is generally varied in the range of 100–500 m, and could be increased to more than 1000 m in the fault overlap zone, intersection area, and fault tips. Further, the fault damage zone plays a constructive role in the high gas production in the deep tight carbonate reservoir. The results suggest the steerable pyramid method is favorable for identifying the weak strike-slip faults and their damage zone. The width of the fault damage zone is closely related to fault displacement, and the much wider damage zone is generally influenced by the fault overlapping and interaction. The fractured reservoirs in the fault damage zone could be a new favorable exploitation domain in the Sichuan Basin.
Numerical Investigation on the Impact of Exergy Analysis and Structural Improvement in Power Plant Boiler through Co-Simulation
Authors: Yin Hang , Jin Yingai , Li Liang , Lv Wenbo
Published: November 2022

In current power station boilers, fuel burns at a low temperature, which results in low exergy efficiency. This research combined the second law of t with the boiler structure to maximize the efficiency of a 350 MW power plant boiler. A three-dimensional simulation of the combustion process at the power plant boiler is performed. A one-dimensional simulation model of the boiler is then constructed to calculate the combustion exergy loss, heat transfer exergy loss, and boiler exergy efficiency. Under the principle of high-temperature air combustion technologies, this paper also proposes a new structure and improved operating parameters to improve the exergy efficiency of boilers by reducing the heat exchange area of the economizer and increasing the heat exchange area of the air preheater. Simulation results show that the exergy efficiency of the boiler increased from 47.29% to 48.35% through the modified model. The simulation outcomes can instruct future optimal boiler design and controls.
Indoor Air Quality Diagnosis Program for School Multi-Purpose Activity and Office Spaces
Authors: Lee Yeo-Kyung , Kim Young Il , Kim Ga-Hyeon
Published: November 2022

This study presents a simple indoor air quality diagnosis program for school office spaces, which are occupied for long durations by teachers, and indoor sports facilities, whose utilization has been on the rise in response to high concentrations of pollutants in outdoor air. The proposed program was made with Visual Basic for Applications (VBA) and Microsoft Excel. This program requires inputs which can be easily determined or measured even by nonexperts and can check the current status of indoor air quality such as CO2 and PM2.5 concentrations and predict the effect if changes are made. In addition, it is possible to diagnose indoor air quality before and after class and compare it with the initial plan so that if it exceeds the indoor air quality maintenance standard range, it can be improved by using a ventilation system and an air purifier. The development of the program was divided into four stages. First, prior research on the influencing factors was investigated. Second, influencing factors affecting the changes in PM2.5 and CO2 concentrations were selected by category to accommodate the various factors, and those selected as input were presented. Third, mass and concentration conservation equations were utilized to derive PM2.5 and CO2 concentration prediction equations according to activity and passage of time, and a VBA code was used for constructing the program. For verification of the developed program, the calculation results were compared with the measured data. The mean absolute percentage error (MAPE) was 19.47% for PM2.5 concentration. In order to improve accuracy, Simulation 2, in which the wind speed and indoor/outdoor air pressure difference are corrected, is presented. The MAPE of PM2.5 concentration by the corrected Simulation 2 was lowered 5.15%.
Modeling Tree Growth Responses to Climate Change: A Case Study in Natural Deciduous Mountain Forests
Authors: Bayat Mahmoud , Knoke Thomas , Heidari Sahar , Hamidi Seyedeh Kosar , Burkhart Harold , Jaafari Abolfazl
Published: November 2022

Climate change has significant effects on forest ecosystems around the world. Since tree diameter increment determines forest volume increment and ultimately forest production, an accurate estimate of this variable under future climate change is of great importance for sustainable forest management. In this study, we modeled tree diameter increment under the effects of current and expected future climate change, using multilayer perceptron (MLP) artificial neural networks and linear mixed-effect model in two sites of the Hyrcanian Forest, northern Iran. Using 573 monitoring fixed-area (0.1 ha) plots, we measured and calculated biotic and abiotic factors (i.e., diameter at breast height (DBH), basal area in the largest trees (BAL), basal area (BA), elevation, aspect, slope, precipitation, and temperature). We investigated the effect of climate change in the year 2070 under two reference scenarios; RCP 4.5 (an intermediate scenario) and RCP 8.5 (an extreme scenario) due to the uncertainty caused by the general circulation models. According to the scenarios of climate change, the amount of annual precipitation and temperature during the study period will increase by 12.18 mm and 1.77 °C, respectively. Further, the results showed that the impact of predicted climate change was not very noticeable and the growth at the end of the period decreased by only about 7% annually. The effect of precipitation and temperature on the growth rate, in fact, neutralize each other, and therefore, the growth rate does not change significantly at the end of the period compared to the beginning. Based on the models’ predictions, the MLP model performed better compared to the linear mixed-effect model in predicting tree diameter increment.
Axial Compression Behaviors of Columns Fabricated from Bamboo Oriented Strand Boards
Authors: Sun Yuhui , Gong Jingya , Liu Huanrong , Fang Changhua
Published: November 2022

Due to the low specific strength of bamboo oriented strand boards compared with the commonly used wooden building materials, reasonable and novel cross-section designs of bamboo columns fabricated from bamboo oriented strand boards as structural members were investigated. An axial compression experiment was carried out on full-scale bamboo columns to characterize the ultimate behaviors under a concentric load. The ultimate bearing capacities of solid, hollow and five-core columns of the same height were not obviously different from each other. The columns with a larger slenderness ratio showed lower ultimate loads and higher axial deflections. The short columns experienced failure due to material crushing, and the long columns experienced a combination of material crushing and inelastic buckling. The empirical equations for predicting the ultimate bearing capacity for wooden columns showed applicability for bamboo columns. Non-linear finite element modeling analyses were carried out to validate the experimental results, and a satisfactory agreement was found in the failure modes and ultimate bearing capacity.
Towards a Social-Ecological-Entropy Perspective of Sustainable Exploitation of Natural Resources
Authors: Michel-Mata Sebastián , Gómez-Salazar Mónica , Castaño Víctor , Santamaría-Holek Iván
Published: November 2022

An innovative and integrative modeling strategy for assessing the sustainability and resilience of social-ecological systems (SES) is presented by introducing a social-ecological entropy production (SEEP) method. In analogy to the thermodynamic entropy production of irreversible processes, we discuss a theoretical model that relates energy and information flow with the cultural and epistemological peculiarities of different communities that exploit the same natural resource. One of the innovative aspects of our approach comes from the fact that sustainability is assessed by a single parameter (SEEP) incorporating the simulation outcomes of all the populations participating in the dynamics, and not only on the fate of the resource. This is significant as far as the non-linearities introduced by the coupling of the different dynamics considered may lead to high sensitivity to small perturbations. Specifically, by assuming two possible types of technical and environmental knowledge-transfer methods [direct (D) and phase-in (P)] within each one of the two communities that exploit and restore a resource, we generate four mathematical models to explore the long-term sustainability scenario due to the intervention, by a new epistemological community, of an initially sustainable resource-community SES. By exploring the space of four key parameters characterizing the degree of technical and environmental knowledge, as well as the rates of social inclusion and knowledge transfer, our simulations show that, from 400 scenarios studied in each case, the P-P model predicts 100% sustainable cases in the use of the resource after the intervention by the second community. The mixed scenarios P-D and D-P predict about 29%, and the D-D scenario only predicts 23% of sustainable cases. Catastrophic outcomes are predicted at about 71% in P-D and D-P scenarios, and about 77% of extinction of the system by exhaustion of the resource and community populations in the D-D scenario. In this form, our theoretical strategy and the knowledge-transfer scenarios studied may help policymakers to find a priori science-based criteria to solve possible controversies arising from social-ecological interventions.
Fractal Analysis for Fatigue Crack Growth Rate Response of Engineering Structures with Complex Geometry
Authors: Hashmi Mudassar Hussain , Koloor Seyed Saeid Rahimian , Abdul-Hamid Mohd Foad , Tamin Mohd Nasir
Published: November 2022

A growing fatigue crack in metallic materials and structures exhibits multifractal features that inherit signatures of the crack growth rate behavior of the material. This study exploits the recently established multifractal fatigue crack growth model to quantify the characteristic fatigue crack growth rate response of the AISI 410 martensitic stainless steel using an L-shaped bell crank structure. The objective is to demonstrate that the fatigue crack growth rate response of the material could be established by quantifying the fractality of the growing crack. The fractal approach avoids the need of the crack geometry factor when calculating the crack tip driving force. The fractal analysis of the crack image employs the box-counting algorithm to determine the fractal dimension along the edge of the crack length. The analysis is confined to the power law crack growth rate stage (Paris crack growth regime). Results show that the fatigue crack growth path in the bell crank structure is dictated by the Mode I (opening) component of the crack loading. The distribution of fractal-based fatigue crack growth rate data is within the 99% confidence limit of the median crack growth response by the Paris equation. Thus, the model could be employed for prediction of the fatigue crack growth response of engineering structures where the crack geometry factor is not readily available.
The Relationship between Health-Related Fitness and Quality of Life in Nonalcoholic Fatty Liver Disease
Authors: Wang Lina , Zhang Jing , Liu Yali , Zhou Huixuan , Yan Wenjing , Ren Hong
Published: November 2022

Background: It is well known that patients with nonalcoholic fatty liver disease (NAFLD) suffer from impaired quality of life (QoL) and decreased health-related fitness. Studies on the relationship between them have been scarce. Methods: A cross-sectional survey was performed in 104 NAFLD patients. Liver fat content and fibrosis were assessed using transient elastography. Health-related fitness was measured by fitness test. VO2max was determined by YMCA submaximal cycle ergometer test. Body composition was tested by bioimpedance analysis. QoL was evaluated using the 36-item Short Form Health Survey Questionnaire (SF-36). Results: Most patients had severe liver steatosis without significant fibrosis. Most of them exhibited poor health-related fitness. Multiple linear regression analyses demonstrated that body compositions (waist circumference, hip circumference, percent body fat, percent skeletal muscle, visceral fat area) dependently contributed to QoL (health transition, role limitation due to physical problem, general health, physical functioning and vitality). VO2max was positively related with physical functioning. Conclusion: For NAFLD patients, decreased health-related fitness was associated with impaired QoL both in the physical and mental dimension. Our results indicate that visceral fat together with muscle mass and VO2max could serve as individual exercise intervention targets to improve QoL.
Landslide Susceptibility Evaluation Based on Potential Disaster Identification and Ensemble Learning
Authors: Wang Xianmin , Zhang Xinlong , Bi Jia , Zhang Xudong , Deng Shiqiang , Liu Zhiwei , Wang Lizhe , Guo Haixiang
Published: November 2022

Catastrophic landslides have much more frequently occurred worldwide due to increasing extreme rainfall events and intensified human engineering activity. Landslide susceptibility evaluation (LSE) is a vital and effective technique for the prevention and control of disastrous landslides. Moreover, about 80% of disastrous landslides had not been discovered ahead and significantly impeded social and economic sustainability development. However, the present studies on LSE mainly focus on the known landslides, neglect the great threat posed by the potential landslides, and thus to some degree constrain the precision and rationality of LSE maps. Moreover, at present, potential landslides are generally identified by the characteristics of surface deformation, terrain, and/or geomorphology. The essential disaster-inducing mechanism is neglected, which has caused relatively low accuracies and relatively high false alarms. Therefore, this work suggests new synthetic criteria of potential landslide identification. The criteria involve surface deformation, disaster-controlling features, and disaster-triggering characteristics and improve the recognition accuracy and lower the false alarm. Furthermore, this work combines the known landslides and discovered potential landslides to improve the precision and rationality of LSE. This work selects Chaya County, a representative region significantly threatened by landslides, as the study area and employs multisource data (geological, topographical, geographical, hydrological, meteorological, seismic, and remote sensing data) to identify potential landslides and realize LSE based on the time-series InSAR technique and XGBoost algorithm. The LSE precision indices of AUC, Accuracy, TPR, F1-score, and Kappa coefficient reach 0.996, 97.98%, 98.77%, 0.98, and 0.96, respectively, and 16 potential landslides are newly discovered. Moreover, the development characteristics of potential landslides and the cause of high landslide susceptibility are illuminated. The proposed synthetic criteria of potential landslide identification and the LSE idea of combining known and potential landslides can be utilized to other disaster-serious regions in the world.
Back to Clinical Training during the COVID-19 Pandemic: Perspective of Nursing Students
Authors: Alcalá-Albert Gregorio Jesús , García-Carpintero Blas Eva , Gómez-Moreno Cristina , González-Morón Carla , Sanz-Melero Ana , Robledillo-Mesa Alejandra Sofía , Vélez-Vélez Esperanza
Published: November 2022

Introduction: The COVID-19 pandemic has affected many areas of life, including the formation of nursing students. After the COVID-19 crisis, learning during clinical training created different challenges. Nursing schools are responsible for ensuring that structures are in place to facilitate coping in the changed clinical setting. This study aimed to analyze nursing students’ perceptions during clinical training while caring for COVID-19 patients. Material and methods: A qualitative phenomenological study that explored nursing students’ perceptions of learning in clinical settings with COVID-19 patients was performed. A total of 15 semi-structured face-to-face interviews were conducted with nursing students who carried out their clinical practices in COVID-19 units during February and April 2022. Results: Through content analysis, categorization, and the method of comparison constant, four categories emerged: feelings, challenges, coping methods, and clinical practices. The students had to learn to “work” with fear and uncertainty and self-manage the emotional burden using different coping techniques to deal with learning during their practices. Interacting with professors and clinical tutors during the clinical practice were positive experiences. Conclusions: This study constituted an opportunity to build new and adapted educational approaches for teachers to train nursing students to deal with their emotions and thoughts in future pandemic situations.
A Bayesian Sample Size Estimation Procedure Based on a B-Splines Semiparametric Elicitation Method
Authors: Azzolina Danila , Berchialla Paola , Bressan Silvia , Da Dalt Liviana , Gregori Dario , Baldi Ileana
Published: November 2022

Sample size estimation is a fundamental element of a clinical trial, and a binomial experiment is the most common situation faced in clinical trial design. A Bayesian method to determine sample size is an alternative solution to a frequentist design, especially for studies conducted on small sample sizes. The Bayesian approach uses the available knowledge, which is translated into a prior distribution, instead of a point estimate, to perform the final inference. This procedure takes the uncertainty in data prediction entirely into account. When objective data, historical information, and literature data are not available, it may be indispensable to use expert opinion to derive the prior distribution by performing an elicitation process. Expert elicitation is the process of translating expert opinion into a prior probability distribution. We investigated the estimation of a binomial sample size providing a generalized version of the average length, coverage criteria, and worst outcome criterion. The original method was proposed by Joseph and is defined in a parametric framework based on a Beta-Binomial model. We propose a more flexible approach for binary data sample size estimation in this theoretical setting by considering parametric approaches (Beta priors) and semiparametric priors based on B-splines.
Knowledge and Attitudes of Saudi Medical Students about Emergency Management of Traumatic Dental Injuries
Authors: Al-Haj Ali Sanaa N. Al-Haj , Farah Ra’fat I. , Alhariqi Serene
Published: November 2022

Several studies indicate that physicians lack emergency management knowledge concerning traumatic dental injuries (TDIs), emphasizing the fact that medical students are not taught about this topic. This study aimed to assess the basic knowledge and attitudes of medical students in Saudi Arabia about emergency TDI management. This cross-sectional study recruited a convenience sample of medical students in their clinical years through social networking sites and asked them to answer a pretested internationally accepted questionnaire that included demographic questions, two case scenarios about crown fractures and avulsion of permanent teeth, and self-assessment questions. The data were analyzed statistically using descriptive statistics and the chi-squared test (p < 0.05). A total of 761 medical students responded. Only 5.8% of the students reported receiving information about TDIs in their curriculum. Medical students, mainly those ready to graduate, were more knowledgeable of the emergency management of a crown fractured permanent tooth than an avulsed permanent tooth (p < 0.0001). However, more than half of the students were unable to differentiate between a primary versus permanent fractured tooth and would manage an avulsed primary or permanent tooth similarly. Regarding students’ attitudes, less than one-quarter of the students (13.5%) were confident about diagnosing TDIs and/or providing emergency management when required (18.1%). Furthermore, only about one-tenth of the students (9.3%) were satisfied with their self-perceived knowledge, and most (71%) reported needing further education about the topic. Medical students in Saudi Arabia have insufficient knowledge about the emergency management of TDIs. Gaps in students’ knowledge of emergency management of avulsion injury were identified in addition to their low confidence level to either diagnose or immediately treat TDIs if required. Students felt dissatisfied with their current knowledge level, this being most prominent among graduating students. There is a need to elaborate the undergraduate medical curriculum in Saudi Arabia to include emergency management of TDIs.
Determinants of Food Waste from Household Food Consumption: A Case Study from Field Survey in Germany
Authors: Hermanussen Henrike , Loy Jens-Peter , Egamberdiev Bekhzod
Published: November 2022

According to FAO about one-third of the food worldwide is discarded. The economic, environmental, and social (ethical) impact of food loss and waste (FLW) is substantial. Food waste (FW) at the household level in high income countries makes a significant share of total FLW. Target 12.3 of the Sustainable Development Goals advocates a 50% reduction of the global per capita FW by 2030. The German government has agreed to this goal. Across all sectors, about half of the waste is avoidable. To achieve a reduction of FLW, information on the current level, its causes, and the economic costs of its reduction are necessary. Depending on the definitions and methodologies to measure FLW, studies have come to different results. This study estimates and analyses avoidable and total household FW and for the first time its determinants in Germany. On average, 59.6 kg per capita of food is wasted annually, of which 49% is avoidable FW. The main causes of household FW are eating habits, shopping behaviour, involvement in FW, and retail promotions.
Can Afro-Communitarianism Be Useful in Combating the Challenge of Human Interaction Posed by the COVID-19 Pandemic?
Authors: Chimakonam Jonathan O. , Ogbonnaya L. Uchenna
Published: November 2022

Can Afro-communitarianism serve as a viable ideology for addressing the human interaction challenge posed by the COVID-19 pandemic? The ongoing pandemic poses many challenges to the normal functioning of societies around the world. For example, it has caused problems ranging from social, economic, and political disruption to various forms of hardship, including pain, suffering, and millions of deaths. One problem that is not attracting sufficient attention is a disruption to human interaction that leads to isolation, depression, mental health, and emotional crises. This paper will investigate whether Afro-communitarianism can function as an ideological option for addressing this challenge. This ideology, in our opinion, can foster social integration and the type of informal solidarity that engenders emotionally helpful interactions among humans. We will also argue that Afro-communitarian orientation can overturn the individualistic tendencies that hamper efforts aimed at curtailing the spread of the coronavirus.
Protective and Vulnerability Factors of Municipal Workers’ Mental Health: A Cross-Sectional Study
Authors: Sampaio Francisco , Coelho Joana , Gonçalves Patrícia , Sequeira Carlos
Published: November 2022

Work is fundamental to an individual’s mental health; however, an unfavourable work environment can lead to mental health problems. Despite existing studies addressing workers’ mental health, it is essential to understand the reality of specific contexts to design effective tailored interventions. Thus, this study aimed to examine the influence of potential protective and vulnerability factors on municipal workers’ depressive symptoms, anxiety and stress levels, and burnout. A cross-sectional study was conducted with data collection performed between July and December 2021 using online self-report measures. The sample comprised 115 municipal workers. The findings revealed that psychological vulnerability is a significant vulnerability factor for the presence of mental health symptoms. In addition, job satisfaction was found to be a significant protective factor for depressive symptoms, anxiety, and burnout of the municipal workers. The results of this study enhance the understanding of factors that influence worker mental health, which may facilitate the proper planning of specific interventions to promote mental health in the workplace.
Developing a Scale for Measuring the Fundamental Movement Skills of Preschool Children in China
Authors: Chen Yong , Gu Ying , Tian Ying , Kim Hyunshik , Ma Jiameng , Jia Xuefeng , Qin Lianlian
Published: November 2022

Children aged 3–6 years (preschool children hereafter) are in a critical and sensitive period of developing fundamental movement skills (FMS). While appropriate measurement tools can accurately evaluate their FMS development, such a scale is lacking in China. In this study, a suitable scale for measuring the FMS of preschool children in China was developed by combining process- and results-oriented evaluation methods. The subjects of this cross-sectional study included 21 experts and 358 preschool children (188 boys and 170 girls). Based on a literature review, items suitable for measuring the FMS of preschool children in China were selected, and the final measurement scale includes 12 items in three dimensions: physical locomotion skills, object control skills, and physical stability skills. After a battery of tests to assess its suitability, including inter-rater reliability, test/retest reliability, homogeneity, and construct validity, we find that the proposed measurement scale has good reliability, validity, and sensitivity. This scale reflects the development level of the FMS of preschool children in China and can be used to monitor the FMS of this population in the future.
The Incidence of Acute Respiratory Infection Was Higher in the Older Adults with Lower Limb Fracture Who Receive Spinal Anesthesia Than Those Who Receive General Anesthesia
Authors: Yeh Kuang-Ting , Wu Wen-Tien , Lee Ru-Ping , Wang Jen-Hung , Chen Tsung-Ying
Published: November 2022

Introduction: Acute respiratory infection (ARI) can significantly reduce postoperative quality of life and impair the recovery of older adult patients with lower-limb fractures, and its relationship with methods of anesthesia remains inconclusive. Using data from the National Health Insurance Research Database (NHIRD) of Taiwan, this study examined the data of patients who received surgical management for lower-limb fractures and compared those who underwent general anesthesia (GA) with those who underwent regional anesthesia (RA) in terms of their incidence of acute upper and lower respiratory infection during the one-month postoperative period. The study also identified related risk factors. Material and Methods: Approximately two million patients were randomly sampled from the NHIRD registry. We identified and enrolled patients with lower-limb fractures who were over 60 years old and underwent GA or RA during surgeries conducted between 2010 and 2017. We divided these patients into two groups for further analysis. The outcome of this study was the development of ARI during the one-month postoperative period. Results: In total, 45,032 patients (GA group, 19,580 patients; RA group, 25,452 patients) with a mean age of 75.0 ± 8.9 years were included in our study. The incidence of postoperative ARI within one month of surgery was 8.0% (1562 patients) in the GA group and 9.5% (2412 patients) in the RA group, revealing a significant difference. The significant risk factors for the incidence of ARI were the application of RA for surgery, older age, hypertension, liver disease, and chronic obstructive pulmonary disease (COPD). A subgroup analysis revealed that the RA method was associated with a significantly higher ARI incidence relative to the GA method among patients aged between 60 and 80 years, among male patients, among the patients with or without any comorbidity and among the patients without COPD. Conclusion: The incidence of postoperative ARI within one month of surgery was higher among older patients with lower-limb fractures who received RA for surgery than among those who received GA for surgery. The other major risk factors for ARI were older age, hypertension, liver disease, and COPD. Therefore, we should focus on patients with a high risk of developing ARI, especially during the COVID-19 pandemic.
High-Intensity Interval Training (HIIT) in Hypoxia Improves Maximal Aerobic Capacity More Than HIIT in Normoxia: A Systematic Review, Meta-Analysis, and Meta-Regression
Authors: Westmacott Ailsa , Sanal-Hayes Nilihan E. M. , McLaughlin Marie , Mair Jacqueline L. , Hayes Lawrence D.
Published: November 2022

The present study aimed to determine the effect of high intensity interval training (HIIT) in hypoxia on maximal oxygen uptake (VO2max) compared with HIIT in normoxia with a Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA)-accordant meta-analysis and meta-regression. Studies which measured VO2max following a minimum of 2 weeks intervention featuring HIIT in hypoxia versus HIIT in normoxia were included. From 119 originally identified titles, nine studies were included (n = 194 participants). Meta-analysis was conducted on change in (∆) VO2max using standardised mean difference (SMD) and a random effects model. Meta-regression examined the relationship between the extent of environmental hypoxia (fractional inspired oxygen [FiO2]) and ∆VO2max and intervention duration and ∆VO2max. The overall SMD for ∆VO2max following HIIT in hypoxia was 1.14 (95% CI = 0.56–1.72; p < 0.001). Meta-regressions identified no significant relationship between FiO2 (coefficient estimate = 0.074, p = 0.852) or intervention duration (coefficient estimate = 0.071, p = 0.423) and ∆VO2max. In conclusion, HIIT in hypoxia improved VO2max compared to HIIT in normoxia. Neither extent of hypoxia, nor training duration modified this effect, however the range in FiO2 was small, which limits interpretation of this meta-regression. Moreover, training duration is not the only training variable known to influence ∆VO2max, and does not appropriately capture total training stress or load. This meta-analysis provides pooled evidence that HIIT in hypoxia may be more efficacious at improving VO2max than HIIT in normoxia. The application of these data suggest adding a hypoxic stimuli to a period of HIIT may be more effective at improving VO2max than HIIT alone. Therefore, coaches and athletes with access to altitude (either natural or simulated) should consider implementing HIIT in hypoxia, rather than HIIT in normoxia where possible, assuming no negative side effects.
Assessing the Spatial Accessibility of Urban Medical Facilities in Multi-Level and Multi-Period Scales Based on Web Mapping API and an Improved Potential Model
Authors: Wang Jingyong , Su Yuwei , Chen Zihao , Tang Lixuan , Wang Guoen , Wang Jiangping
Published: November 2022

Urban medical facilities are an irreplaceable foundation for ensuring higher levels of public health and medical equity. Hospital accessibility has an extremely important impact on the allocation efficiency and fairness of medical facilities. Although critical, previous studies on accessibility have often overlooked the layout of medical facilities at different levels and the accurate measures of travel time to hospitals, which are both the most critical and fundamental indicators when assessing hospital accessibility. To avoid these pitfalls, this study considers the Shijingshan District, Beijing, China, as an empirical case and proposes an improved potential model based on Web Mapping API (Application Programming Interface) to assess the hospital accessibility of hospitals at different levels during different time periods. Results show that there are significant spatial and temporal differences in hospital accessibility in Shijingshan District, and traffic congestion and the layout of medical facilities are the two most important factors affecting hospital accessibility. This study further improves the hospital accessibility assessment method, with the findings provide a spatial decision support system for urban planners and policymakers regarding optimizing the spatial structure and layout of transportation systems and medical facilities.
Attenuation of Myocardial Dysfunction in Hypertensive Cardiomyopathy Using Non-R-Wave-Synchronized Cardiac Shock Wave Therapy
Authors: Li Fei , Zhen Zhe , Sun Si-Jia , Jiang Yu , Liang Wei-Hao , Belau Markus , Storz Rafael , Liao Song-Yan , Tse Hung-Fat
Published: November 2022

Cardiac shock wave therapy (CSWT) is a novel therapeutic procedure for patients with angina that is refractory to conventional therapy. We investigated the potential mechanism and therapeutic efficacy of non-R-wave-triggered CSWT to attenuate myocardial dysfunction in a large animal model of hypertensive cardiomyopathy. Sustained elevated blood pressure (BP) was induced in adult pigs using a combination of angiotensin-II and deoxycorticosterone acetate (DOCA). Two sessions of non-R-wave-triggered CSWT were performed at 11 and 16 weeks. At 10 weeks, systolic and diastolic blood pressure, LV posterior wall thickness and intraventricular septum thickness significantly increased in both the hypertension and CSWT groups. At 20 weeks, +dP/dt and end-systolic pressure-volume relationship (ESPVR) decreased significantly in the hypertension group but not the CSWT group, as compared with week 10. A significant improvement in end-diastolic pressure-volume relationship (EDPVR) was observed in the CSWT group. The CSWT group exhibited significantly increased microvascular density and vascular endothelial growth factor (VEGF) expression in the myocardium. Cytokine array demonstrated that the CSWT group had significantly reduced inflammation compared with the hypertension group. Our results demonstrate that non-R-wave-triggered CSWT is safe and can attenuate LV systolic and diastolic dysfunction via enhancement of myocardial neovascularization and anti-inflammatory effect in a large animal model of hypertensive cardiomyopathy.
Oligomerization-Dependent Beta-Structure Formation in SARS-CoV-2 Envelope Protein
Authors: Surya Wahyu , Torres Jaume
Published: November 2022

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the current COVID-19 pandemic. In SARS-CoV-2, the channel-forming envelope (E) protein is almost identical to the E protein in SARS-CoV, and both share an identical α-helical channel-forming domain. Structures for the latter are available in both detergent and lipid membranes. However, models of the extramembrane domains have only been obtained from solution NMR in detergents, and show no β-strands, in contrast to secondary-structure predictions. Herein, we have studied the conformation of purified SARS-CoV-2 E protein in lipid bilayers that mimic the composition of ER–Golgi intermediate compartment (ERGIC) membranes. The full-length E protein at high protein-to-lipid ratios produced a clear shoulder at 1635 cm−1, consistent with the β-structure, but this was absent when the E protein was diluted, which instead showed a band at around 1688 cm−1, usually assigned to β-turns. The results were similar with a mixture of POPC:POPG (2-oleoyl-1-palmitoyl-sn-glycero-3-phosphocholine/3-glycerol) and also when using an E-truncated form (residues 8–65). However, the latter only showed β-structure formation at the highest concentration tested, while having a weaker oligomerization tendency in detergents than in full-length E protein. Therefore, we conclude that E monomer–monomer interaction triggers formation of the β-structure from an undefined structure (possibly β-turns) in at least about 15 residues located at the C-terminal extramembrane domain. Due to its proximity to the channel, this β-structure domain could modulate channel activity or modify membrane structure at the time of virion formation inside the cell.
The Role of PnTCP2 in the Lobed Leaf Formation of Phoebe neurantha var. lobophylla
Authors: Sun Bing , He Xinru , Long Fengying , Yu Cui , Fei Yongjun
Published: November 2022

A lobed leaf is a common trait in plants, but it is very rare in Lauraceae plants, including species of Phoebe. In the study of germplasm resources of Phoebe neurantha, we found lobed leaf variant seedlings, and the variation could be inherited stably. Studying the lobed leaf mechanism of P. neurantha var. lobophylla can offer insight into the leaf development mechanism of woody plants. RNA-seq and small RNA-seq analysis results showed that a total of 8091 differentially expressed genes (DEGs) and 16 differentially expressed miRNAs were identified in P. neurantha var. lobophylla. Considering previous research results, a leaf margin morphological development related miRNA, pne-miRNA319a, was primary identified as a candidate miRNA. Target gene prediction showed that a total of 2070 genes were predicted to be the target genes of differentially expressed miRNAs. GO enrichment analysis of differentially expressed target genes suggested that PnTCP2 is related to lobed leaf formation. The TRV-VIGS gene silencing of PnTCP2 led to lobed leaves in P. neurantha seedlings. The downregulation of PnTCP2 led to lobed leaves. The yeast two-hybrid test and bimolecular fluorescence complementation test confirmed that the PnTCP2 protein interacted with the PnLBD41 protein. Based on the expression analysis of gene-silenced leaves and RNA-seq and small RNA-seq analysis results, pne- miRNA319a and PnLBD41 might also play important roles in this process. In conclusion, PnTCP2 plays an important and vital role in the formation of the lobed leaves of P. neurantha var. lobophylla.