ALBERT

Description: The paper addresses the sustainability of the European Union’s food consumption through a water footprint assessment of selected vulnerable agricultural imports from a two-pronged perspective: (1) the degree of the EU’s dependence on global green water resources embedded in the apparent consumption of selected water-intensive agricultural products and (2) the degree of commitment of countries of origin to sustainability policies. The study argues that the vulnerability of the EU’s agricultural imports to water risks can be estimated based on the amount of green water consumed in producing crops in the countries of origin. The results show that the EU’s consumption of agricultural goods is highly dependent on virtual water imports for all six selected vulnerable agricultural products, from the lowest footprint for bananas (5 mil. km3) to the largest for coffee (69 mil. km3). The analysis also points to a greater concern for quality issues in the countries of origin (56.53%) relative to management (26.52%) and availability issues (16.85%), but the latter are to arise in importance for sustainable production in the years to come. Our conclusions contribute to building up a responsible commitment towards (1) development of environmental policies and the design of practical measures by providing quantitative information that makes problems more clearly defined and tangible, and (2) assessing the outcome of policies and practical measures by understanding their effects on the sustainability of food consumption.

Description: Residents of nursing homes have been significantly affected by COVID-19 in Spain. The factors that have contributed to the vulnerability of this population are very diverse. In this study, physical agents, chemical pollutants, population density and different capacities of residences were analysed to understand their influence on the number of elderly people who have died in geriatric centres in different autonomous communities (AACCs) of Spain. A statistical analysis was carried out on the variables observed. The results show that many residences with a larger number of deaths were private, with some exceptions. Physical agents and pollutants were found to be determining factors, especially for the communities of Extremadura and Castilla–La Mancha, although the large number of factors involved makes this study complicated. The compromise between air quality and energy efficiency is of great importance, especially when human health is at stake.

Description: A bacterial strain, identified as Lysinibacillus sp. LC 556247 POME, was isolated from palm oil mill effluent (POME). The present article highlights the potential utilization of POME as a sole fermentation medium by Lysinibacillus sp. LC 556247 to produce biomass fuel via aerobic fermentation. The fermentation was performed in a shake flask with a working volume of 300 mL, agitated at 180 rpm, incubated at 35 ± 2 °C for various fermentation hours, ranging from 1, 2, 3, 4, 24, 48, 72, 96, and 120 h, and was followed by a drying process. Elucidation of the POME characteristics, calorific energy values (CEV), moisture content (MC), oil and grease content, chemical oxygen demand (COD), biochemical oxygen demand (BOD), dissolved oxygen (DO), total suspended solids (TSS), pH, total nitrogen, and the colony-forming unit (CFU) were performed. The results demonstrate that the highest CEV, of 21.25 ± 0.19 MJ/kg, was obtained at 48 h fermentation. High amounts of extractable oil and nitrogen content were retrieved at the highest CEV reading of the fermented and dried POME samples, which were 17.95 ± 0.02% and 12.80 ± 0.08%, respectively. The maximum removal efficiencies for the COD (50.83%), the BOD (71.73%), and the TSS (42.99%) were achieved at 120 h of fermentation, with an operating pH ranging from 4.49–4.54. The XRF analysis reveals that the fermented and dried products consisted of elements that had a high amount of carbon and potassium, and a significantly low amount of silica, which is sufficient for the effective burning of biomass fuel in the boiler.

Description: Elimination of the gender gap in labour force participation has become one of the main challenges of achieving the U.N.’s Sustainable Development Goals (SDGs) in the 2030 Agenda for Sustainable Development. The rapid increase in university education and decrease in fertility rate in Iran over the past decades might affect the achievement of the SDGs. However, the country’s female labour force participation (FLFP) rate stagnates at a superficial level. The stagnating FLFP rate is inconsistent with basic labour economics supply-side explanations while drawing attention to demand-side explanations, namely, female labour demand constraints, such as occupational segregation and labour market discrimination. This study empirically investigates the effect on FLFP of primary labour supply factors along with household conditions and gender norms and attitudes for 2 specific years: 2008 and 2018. The aim is to shed light on the causes of stagnation at the FLFP level by using the Household Expenditure and Income Survey conducted annually by the Statistical Center of Iran. The empirical findings suggest gender norms and attitudes towards working women and gendered division of work associated with family care as the driving forces of stagnation in FLFP in Iran.

Description: Bangladesh is one of the most climate-vulnerable countries on the globe. The country is frequently affected by numerous climatic events including floods, droughts, cyclones, etc., which damages the farm household’s livelihood and socio-economic condition. Therefore, this work intends to appraise the smallholder farmers’ perceived climate-related risk, impact, and the factors that influence their choices of adaptation strategies to cope with the adverse impact of the climatic extreme events in northern Bangladesh. Survey data were collected from 300 respondents from two drought-prone districts of northern Bangladesh in January–February 2020. The climate-related risk perception index (CRRPI) was constructed to assess the farmers’ perceived risk. The multinominal logit (MNL) model was employed to explore the factors influencing farmers’ choices of adaptation strategies. Farmers’ perceptions of climate change risk were found to be consistent with meteorological data in the research area. Results of the CRRPI revealed that flood, drought, riverbank erosion, and heat waves were the critical risks perceived by the farmers. Farmers used a variety of adaptation measures to deal with these climatic threats, including agricultural diversification, changes in fertilizer and insecticides, and crop and seed changes. The MNL model results showed that the factors that influenced a farmer’s choices of adaptation strategies were age, education level, family members, income level, year of farming experience, and the farmer’s information on climate change. This study also demonstrated that water scarcity in the dry period and the frequency of crop diseases were the major limiting factors experienced by the farmers whilst undertaking adaptation strategies. Thus, awareness and capacity building through training and support to adopt the adaptation strategies are essential to enhance the resilience of the farmers.

Description: After two decades of privatization of building maintenance service in government hospitals in Malaysia, evidence of under-maintained hospital buildings suggests a need to raise the level of hospital maintenance service delivery. This study identified the critical success factors to enhance the value outcomes of hospital maintenance service. A total of 66 questionnaire survey responses from maintenance personnel in public hospitals were analyzed using the Importance-Performance Matrix Analysis (IPMA) in the SmartPLS3.0 software. The Importance versus the Performance of value-based practices was mapped to identify the critical areas that require greater considerations to improve maintenance service delivery. The findings revealed four critical success factors: Responsive to Needs, Integrated Service Solutions, Innovative Improved Practices, and Value for Money. These practices were found to be the impetus that can bring significant enhancement to hospital building maintenance service delivery. Although the findings are based on data derived from public hospitals in Malaysia, the outcomes are applicable to private hospitals both in and outside of Malaysia.

Description: Building energy management system involves the development of control strategies for the heating, ventilation, and air-conditioning (HVAC), as well as lighting, systems. Building energy modeling is a significant part of designing such strategies. In order to analyze the feasibility of a building energy system model for any desired control strategy, a mathematical assessment tool is developed in this paper. A multi-input multi-output (MIMO) building energy system model, consisting of an outdoor wall, an external wall, two partition walls, one roof, and a ceiling, has been considered as the virtual test setup. A methodology for conducting stability and controllability assessment tests on the building energy model is proposed using inverse dynamics input theory (IDIT). IDIT enables the decoupling of control variables so as to enable the conversion of an MIMO system to a number of independent single-input single-output systems. The controllability is assessed based on the design properties for continuous systems: asymptotes and transmission zeros. The results show that the relative humidity and air temperature of the building space were controllable for all operating points; however, in unconditioned situations, where the humidity levels of the building space were greater than that of the outdoor levels, the models were unstable.

Description: The goal of train re-scheduling is redesigning the time when trains arrive at and depart from stations of a railway section, and train control problem refers to determining the operating mode for a train in a railway section. It is quite necessary to study the two problems together, and they can be viewed as a theory base for self-driving study. We build a novel model to deal with train re-scheduling and train control problem synthetically. The approach is divided into two stages. The first stage is train re-scheduling, determining the arrival and departure time for trains. Depending on the arrival and departure time, the train running time can be calculated and it is set to be the constraint of the train control model. The destination of the second stage model is to save tracking energy in train operation process, determining the traction plan in each segment of a section between two stations. We also design a quantum-inspired particle swarm optimization algorithm to solve the integrated model. A computation case is presented to prove the availability of the approach. It can generate the re-scheduled timetable and train control plan synthetically with the approach presented in this paper. The main contribution of this paper is to propose a novel approach to solve train re-scheduling problem and train control problem synthetically. It can also provide supporting information for both the dispatchers and the train drivers to improve the on schedule rate and reduce the energy consumption. Furthermore, it may provide some valuable reference for the realization of automatic train driving.

Description: The correlations between investments in transport infrastructure and territorial development continue to concern public authorities. They are responsible for optimising the allocation of financial resources, and they are interested in the correct short- and long-term estimations of investments in transport infrastructure’s consequences for development. The direct and indirect effects of transport infrastructure are present in the socio-economic assessment methodologies of projects. Despite the recorded progress, uncertainties remain in technical assessments, especially socio-economic ones, and they do not remove decision-makers’ concerns regarding the necessity and appropriateness of investments. Based on these aspects, this paper aimed to clarify the effects of new infrastructure on socio-economic development.

Description: Agenda 2030 is a universal call to action which emphasises that all sectors of society should mobilise to create an inclusive and equal society and improve the lives of people world-wide. Education, physical activity and sport are recognised as critical means to achieve the Sustainable Development Goals (SDGs); therefore, it makes sense that school physical education (PE) also has the potential to contribute to the visions set out by Agenda 2030. A critical question is how sustainability can be understood, framed and integrated in PE. In this explorative paper, we, therefore, performed a review regarding the distinct role of PE in the context of Agenda 2030 and its SDGs. The overall research question that guided this paper is as follows: what perspectives related to PE in the context of Agenda 2030 and its SDGs have been discussed in the research literature? To identify relevant papers, five electronic databases (Education Research Complete, ERIC, Education database, SportDiscus, and Scopus) were systematically searched with search strings developed in an effort to identify research that supports the SDGs. The search resulted in about 4300 papers published between 2015 and 2021. Three unique papers met the inclusion criteria. We conclude that, so far, Agenda 2030 is a largely unexplored area of research in the field of PE, and that more research is needed to understand how sustainability can be understood, framed and integrated in PE. Based on the findings, we conclude the paper by providing suggestions for future work.