bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Leakage Detection Model and Its Application for Water Distribution Networks Using RNN-LSTM
Authors: Lee Chan-Wook , Yoo Do-Guen
Published: August 2021

With the advent of the 4th Industrial Revolution, advanced measurement infrastructure and utilization technologies are being noticeably introduced into the water supply system to store and utilize measurement data. From this perspective, the leak detection technology in water supply networks is becoming increasingly vital to sustainable water resource management and the clean water supply worldwide. In particular, leakage detection of buried pipelines is rated as a very challenging research topic given the current level of technology. However, leakage in buried underground pipelines is rated as a very challenging research topic given the current level of technology. Therefore, a data-driven leak detection model was developed through this study using deep learning technology based on inflow meter data. Multiple threshold-based models were applied to reduce the RNN-LSTM (Recurrent Neural Networks–Long Short-Term Memory models) deep learning and false prediction range, which is programmed in conjunction with the Python language and Google Colaboratory (a big data analysis tool). The developed model consists of flow pattern shape extraction, RNN-LSTM-based flow prediction, and threshold setting modules. The developed model was applied to the actual leakage accident data, followed by the performance evaluation. As a result, the leak was recognized at most points immediately after the accident. The performance of leak detection was evaluated by a Confusion matrix and showed more than 90% accuracy at all points except singularities. Therefore, the developed model can be used as a critical software technology to proactively identify various at present with smart water infrastructure being introduced. In addition, this model is highly scalable as it can consider various operational situations based on the expert system, and it can also efficiently reflect the results of pipe network analysis across different scenarios.
Social Enterprise in Mexico, a New Business Classification
Authors: Osorio-Novela Germán , Mungaray-Lagarda Alejandro , Ramírez-Angulo Natanael
Published: August 2021

Social Enterprise (SE) is an increasingly important sector for generating employment and distributing wealth in market structures. The social business type two (SB2)—a very specific type of SE—is a category that has challenged orthodox theoretical elements in its main assumptions and behavior in the markets. SB2 is mainly classified within the category of microenterprises because they have a very small number of employees. A new official business classification is important to differentiate enterprises not only by size, but also by type of behavior. There is a new indicator that compares the profit levels of microenterprises with the poverty line as a representative tool to classify Mexican microenterprises into profit seekers and SB2. When these outcomes are contrasted with a discrete choice model under the logistic functional form, the probabilities that this indicator classifies a microenterprise with entrepreneurship by necessity, installed capacity maximization and no profit seeking as SB2 is 80% for microenterprises up to ten workers, and goes up to 92% for microenterprises with one person. With such a new classification, better policies could be promoted to support SB2, and help address both the lack of opportunities from the market economy and poverty menace.
The Use of Calcium Lactate to Enhance the Durability and Engineering Properties of Bioconcrete
Authors: Abo Sabah Saddam Hussein , Anneza Luis Hii , Juki Mohd Irwan , Alabduljabbar Hisham , Othman Norzila , Al-Gheethi Adel Ali , Al-Shalif Abdullah Faisal
Published: August 2021

This study investigated the optimization of the bioconcrete engineering properties and durability as a response of the calcium lactate (CL) content (0.22–2.18 g/L) and curing duration (7–28 days) using the response surface methodology (RSM). Scanning electronic microscopy (SEM) was conducted to evaluate the microstructure of calcium precipitated inside the bioconcrete. The results indicated that the optimal conditions for the engineering properties of concrete and durability were determined at 2.18 g/L of CL content after 23.4 days. The actual and predicted values of the compressive strength, splitting tensile strength, flexural strength, and water absorption were 43.51 vs. 43.43, 3.19 vs. 3.19, 6.93 vs. 5.50, and 7.55 vs. 7.55, respectively, with a level of confidence exceeding 95%. The scanning electron microscope (SEM) images and energy-dispersive X-ray spectroscopy (EDX) proved that the amount of calcium increased with the increase in CL content up to 2.81 g/L at 23.4 days, reducing the pores inside the concrete and making it a great potential option for healing of concrete structures.
Toward a More Complete Picture of Readmission-Decreasing Initiatives
Authors: Cho Na-Eun , Hong KiHoon
Published: August 2021

Readmissions are common and costly. This study examines the effectiveness of two initiatives known to help reduce readmissions. Using data from the American Hospital Association, the Census Bureau, and the Center for Medicare and Medicaid Services’ Hospital Compare database, we found that a higher quality of hospital care does not reduce, but in fact increases readmission rates. Although health information sharing decreases readmission rates, the effect is statistically significant only among the lowest-quality hospitals, not among mid- and high-quality hospitals. The results of our study have important policy implications for providers and hospital administrators with respect to efforts to reduce readmission rates.
Synthesis, Characterization, and Synergistic Effects of Modified Biochar in Combination with α-Fe2O3 NPs on Biogas Production from Red Algae Pterocladia capillacea
Authors: Hassaan Mohamed A. , El Nemr Ahmed , Elkatory Marwa R. , Ragab Safaa , El-Nemr Mohamed A. , Pantaleo Antonio
Published: August 2021

This study is the first work that evaluated the effectiveness of unmodified (SD) and modified biochar with ammonium hydroxide (SD-NH2) derived from sawdust waste biomass as an additive for biogas production from red algae Pterocladia capillacea either individually or in combination with hematite α-Fe2O3 NPs. Brunauer, Emmett, and Teller, Fourier transform infrared, thermal gravimetric analysis, X-ray diffraction, transmission electron microscopy, Raman, and a particle size analyzer were used to characterize the generated biochars and the synthesized α-Fe2O3. Fourier transform infrared (FTIR) measurements confirmed the formation of amino groups on the modified biochar surface. The kinetic research demonstrated that both the modified Gompertz and logistic function models fit the experimental data satisfactorily except for 150 SD-NH2 alone or in combination with α-Fe2O3 at a concentration of 10 mg/L. The data suggested that adding unmodified biochar at doses of 50 and 100 mg significantly increased biogas yield compared to untreated algae. The maximum biogas generation (219 mL/g VS) was obtained when 100 mg of unmodified biochar was mixed with 10 mg of α-Fe2O3 in the inoculum.
Land Use and Land Cover Changes and Its Impact on Soil Erosion in Stung Sangkae Catchment of Cambodia
Authors: Nut Nareth , Mihara Machito , Jeong Jaehak , Ngo Bunthan , Sigua Gilbert , Prasad P.V. Vara , Reyes Manny R.
Published: August 2021

Agricultural expansion and urban development without proper soil erosion control measures have become major environmental problems in Cambodia. Due to a high population growth rate and increased economic activities, land use and land cover (LULC) changes will cause environmental disturbances, particularly soil erosion. This research aimed to estimate total amounts of soil loss using the Revised Universal Soil Loss Equation (RUSLE) model within a Geographic Information System (GIS) environment. LULC maps of Japan International Cooperation Agency (JICA) 2002 and Mekong River Commission (MRC) 2015 were used to evaluate the impact of LULC on soil erosion loss in Stung Sangkae catchment. LULC dynamics for the study periods in Stung Sangkae catchment showed that the catchment experienced a rapid conversion of forests to paddy rice fields and other croplands. The results indicated that the average soil loss from the catchment was 3.1 and 7.6 t/ha/y for the 2002 and 2015 periods, respectively. The estimated total soil loss in the 2002 and 2015 periods was 1.9 million t/y and 4.5 million t/y, respectively. The soil erosion was accelerated by steep slopes combined with the high velocity and erosivity of stormwater runoff. The spatial distribution of soil loss showed that the highest value (14.3 to 62.9 t/ha/y) was recorded in the central, southwestern and upland parts of the catchment. It is recommended that priority should be given to erosion hot spot areas, and appropriate soil and water conservation practices should be adopted to restore degraded lands.
Green Scheduling of Identical Parallel Machines with Release Date, Delivery Time and No-Idle Machine Constraints
Authors: Hidri Lotfi , Alqahtani Ali , Gazdar Achraf , Ben Youssef Belgacem
Published: August 2021

Global warming and climate change are threatening life on earth. These changes are due to human activities resulting in the emission of greenhouse gases. This is caused by intensive industrial activities and excessive fuel energy consumption. Recently, the scheduling of production systems has been judged to be an effective way to reduce energy consumption. This is the field of green scheduling, which aims to allocate jobs to machines in order to minimize total costs, with a focus on the sustainable use of energy. Several studies have investigated parallel-machine shops, with a special focus on reducing and minimizing the total consumed energy. Few studies explicitly include the idle energy of parallel machines, which is the energy consumed when the machines are idle. In addition, very few studies have considered the elimination of idle machine times as an efficient way to reduce the total consumed energy. This is the no-idle machine constraint, which is the green aspect of the research. In this context, this paper addresses the green parallel-machine scheduling problem, including release dates, delivery times, and no-idle machines, with the objective of minimizing the maximum completion time. This problem is of practical interest since it is encountered in several industry processes, such as the steel and automobile industries. A mixed-integer linear programming (MILP) model is proposed for use in obtaining exact solutions for small-sized instances. Due to the NP-hardness of the studied problem, and encouraged by the successful adaptation of metaheuristics for green scheduling problems, three genetic algorithms (GAs) using three different crossover operators and a simulated annealing algorithm (SA) were developed for large-sized problems. A new family of lower bounds is proposed. This was intended for the evaluation of the performance of the proposed algorithms over the average percent of relative deviation (ARPD). In addition, the green aspect was evaluated over the percentage of saved energy, while eliminating the idle-machine times. An extensive experimental study was carried out on a benchmark of test problems with up to 200 jobs and eight machines. This experimental study showed that one GA variant dominated the other proposed procedures. Furthermore, the obtained numerical results provide strong evidence that the proposed GA variant outperformed the existing procedures from the literature. The experimental study also showed that the adoption of the no-idle machine time constraints made it possible to reduce the total consumed energy by 29.57%, while the makespan (cost) increased by only 0.12%.
Single Cell Protein: A Potential Substitute in Human and Animal Nutrition
Authors: Bratosin Bogdan Constantin , Darjan Sorina , Vodnar Dan Cristian
Published: August 2021

Single cell protein (SCP) is the first product of the fermentation process and has proven to be a good protein alternative. Food competition is becoming more intense as the world’s population continues to grow. Soon, SCP may be able to compensate for a protein deficit. Various global businesses are focusing on SCP production, and the scope of its application is expanding as time and knowledge increases. High quantities of SCP can be produced by microorganisms, such as algae, yeast, fungi and bacteria, due to their fast development rate and the significant level of protein in their chemical structure. Beside proteins, SCP contains carbohydrates, nucleic acids, lipids, minerals, vitamins and several important amino acids. SCP has been an effective substitute for more expensive protein sources such as fish and soybean products. In conclusion, SCP can easily replace traditional protein sources in human and animal feed without detrimental effects. Potential substrate candidates and optimization strategies for SCP production have been extensively studied. This review article focuses on the various aspects of SCP, from its production, using different substrates, player microorganisms and nutritional benefits, to its economic aspects.
Minimization of Environmental Impact of Kraft Pulp Mill Effluents: Current Practices and Future Perspectives towards Sustainability
Authors: Vidal Gladys , González Yenifer , Piña Benjamín , Jarpa Mayra , Gómez Gloria
Published: August 2021

Kraft mill effluents are characterized by their content of suspended solids, organic matter and color due to the presence of lignin, lignin derivatives and tannins. Additionally, Kraft mill effluents contain adsorbable organic halogens and wood extractive compounds (resin acids, fatty acids, phytosterol) and show high conductivity due to the chemical compounds used in the digestion process of pulp. Currently, Kraft mills are operating under the concept of a linear economy and, therefore, their effluents are generating serious toxicity effects, detected in daphnia, fish and biosensors. These effluents are treated by activated sludge and moving bed biofilm systems that are unable to remove recalcitrant organic matter, color and biological activity (toxicity) from effluents. Moreover, under climate change, these environmental effects are being exacerbated and some mills have had to stop their operation when the flows of aquatic ecosystems are lower. The aim of this review is to discuss the treatment of Kraft pulp mill effluents and their impact regarding the current practices and future perspectives towards sustainability under climate change. Kraft pulp mill sustainability involves the closure of water circuits in order to recirculate water and reduce the environmental impact, as well as the implementation of advanced technology for these purposes.
Circular Economy for a Sustainable Agri-Food Supply Chain: A Review for Current Trends and Future Pathways
Authors: Chiaraluce Giulia , Bentivoglio Deborah , Finco Adele
Published: August 2021

The current agri-food supply chain is affected by different problems such as food loss and waste generation along the supply chain, and the circular economy offers a possibility to enhance and optimize the production and consumption to seek to a sustainable paradigm. The circular economy can be a winning approach to intervene and moderate the impacts generated in the agri-food sector, proposing actions and solutions to readmit wastes and by-products in the productive chain. The aim of this work was to perform a literature review coupled with a bibliometric analysis, using VOSviewer software, on the circular economy model in the agri-food sector, with particular relevance to the reuse and valorisation of wastes and by-products. Results showed that the topic is of particular relevance in the scientific community, and the concept is continuously evolving. Europe plays a leading role in the research, thanks to the involvement of the Member States, policy makers and stakeholders. Nevertheless, some aspects such as the development of a new economic circular model and some limitations of the current policies deserve further investigation.
Digestate Post-Treatment Strategies for Additional Biogas Recovery: A Review
Authors: Romio Cristiane , Kofoed Michael Vedel Wegener , Møller Henrik Bjarne
Published: August 2021

Anaerobic digestion (AD) is a process in which microorganisms, under oxygen-free conditions, convert organic matter into biogas and digestate. Normally, only 40–70% of biomass is converted into biogas; therefore, digestate still contains significant amounts of degradable organic matter and biogas potential. The recovery of this residual biogas potential could optimize substrate utilization and lower methane emissions during digestate storage and handling. Post-treatment methods have been studied with the aim of enhancing the recovery of biogas from digestate. This review summarizes the studies in which these methods have been applied to agricultural and wastewater digestate and gives a detailed overview of the existing scientific knowledge in the field. The current studies have shown large variation in outcomes, which reflects differences in treatment conditions and digestate compositions. While studies involving biological post-treatment of digestate are still limited, mechanical methods have been relatively more explored. In some cases, they could increase methane yields of digestate; however, the extra gain in methane has often not covered treatment energy inputs. Thermal and chemical methods have been studied the most and have yielded some promising results. Despite all the research conducted in the area, several knowledge gaps still should be addressed. For a more thorough insight of the pros and cons within post-treatment, more research where the effects of the treatments are tested in continuous AD systems, along with detailed economic analysis, should be performed.
Dependence of IPMSM Motor Efficiency on Parameter Estimates
Authors: Glac Antonín , Šmídl Václav , Peroutka Zdeněk , Hackl Christoph M.
Published: August 2021

The efficiency of an IPMSM motor is influenced by the operating point of the machine. Conventional approaches to generate measured efficiency maps may be too expensive to use in some situations, thus it often replaced by simpler variants based on parametric models. A promising approach is to combine model-based approaches with online parameter identification methods which would allow following changes of the parameters. However, such approaches may also result in deteriorated performance if the online parameter estimation is inaccurate. We present a systematic experimental study of the influence of the parameter estimates on the efficiency of a 4.5 kW IPMSM drive and analyze the sources of inaccuracy. The first outcome of this study is that none of the tested methods performs well when the machine is fully loaded, which deteriorates overall performance. The second outcome is that the conventional maximum torque per ampere/current (MTPA/MTPC) is not an accurate optimization criterion. The overall performance of the compared methods thus heavily depends on the testing profile. When a significant part of the profile is at full load, the methods based on online estimation are unsuitable and parameters estimated offline using frequency domain provides better efficiency under the maximum torque per current control strategy.
Affordable Nutrient Density: Toward Economic Indicators of Sustainable Healthy Diets
Authors: Drewnowski Adam , Darmon Nicole , Monsivais Pablo
Published: August 2021

Economics represents one of the four dimensions of sustainable nutrition. Affordable nutrient density is a key indicator of access to sustainable healthy diets. While the nutritional value of foods is assessed using nutrient density metrics, affordability metrics assess energy content and nutritional value of foods in relation to their cost. To be nutrition-relevant, such economic indicators are normally expressed in terms of monetary cost per calorie or per nutrient, as opposed to food weight. Affordability of healthy foods can also be related to the relative cost of staple grains and linked to local wages, incomes, and community purchasing power. The same concepts can be extended to the carbon cost of food production. In parallel with the affordability metrics, greenhouse gas emissions and other environmental costs ought to be calculated per 1000 kcal or per nutrient rather than per kilogram of food. Foods and food patterns need to be nutrient-rich, affordable, culturally appropriate, and appealing, and with low impact on natural resources. In this perspective article, we critically reflect on the linkages between the economic and health dimensions of sustainable nutrition and discuss some of the inherent tensions and synergies among them. Finally, we propose an approach to better integrate economic and sustainability considerations in the nutrition policy. Policy goals should prioritize balancing the nutritional value of food against its monetary or environmental cost.
Removal and Survival of Fecal Indicators in a Constructed Wetland after UASB Pre-Treatment
Authors: Conti Fabio , Rada Elena Cristina , Viotti Paolo , Raboni Massimo
Published: August 2021

The experimentation plant, based on a sub-surface horizontal flow phytodepuration (SSHFP) unit with a pre-treatment by an upflow anaerobic sludge blanket (UASB) reactor, proved valuable in treating the sewage of a small rural community located in north Brazil. During a six-month trial, the plant achieved an average removal efficiency of 98.2% (1.74 log removal) for fecal coliforms (FC) and 96.0% (1.40 log removal) for Enterococci (EN), as well as 95.6% for BOD5, 91.0% for COD,00 and 95.4% for suspended solids (SS). The contribution of the UASB reactor to this overall performance was very significant as, alone, it achieved a yield of 62.7% for FC and 60% for EN, in addition to 65.2% for BOD5 and 65.0% for SS. EN was chosen, in addition to FC, because of its higher specificity and strong environmental persistence, leading to an increased risk to human health. In fact, the experimental results confirmed its lower removal efficiency compared to FC. The mechanical and biological mechanisms that led to such a removal efficiency of the two fecal indicators (FIs) are outlined in the article. The same mechanisms led to a good level of equivalence between the removal efficiency of the two FIs with the removal efficiency of SS and BOD5, for both the whole plant and the UASB reactor alone. The research demonstrated the close correlation between the concentrations of EN and FC for the plant effluent. This correlation can be explained by the following mathematical expression of the regression line Log EN = 0.2571 Log FC + 3.5301, with a coefficient of determination R2 = 0.912. This implies that the concentration of the more specific indicator EN could be calculated, with acceptable approximation, from the simple analysis of FC and vice versa. The experimental plant brought important health benefits to the local population. In particular, there were no significant odor emissions; moreover, the risk of fecal pathogenic diseases was drastically reduced; finally, there was no proliferation of insects and other disease vectors, due to the absence of stagnant or semi-stagnant water exposed to the atmosphere.
The Impact of Decommissioning Cemeteries on the Urban Ecosystem
Authors: Myślińska Anna , Szczepański Jakub , Dłubakowski Witold
Published: August 2021

The decommissioning of cemeteries noticeably transforms the urban fabric. The purpose of this article was to determine what impact the decommissioning of cemeteries has on the urban ecosystem. For this purpose, it was necessary to assess the value of cemeteries within the urban ecosystem. Cemeteries are classified as urban green spaces, and their value as preservers of flora and fauna in local ecosystems has been proven. However, numerous decaying bodies in one place could have adverse effects on the environment. In order to assess the impact of transforming cemetery areas for other uses in the context of sustainable city development, it is necessary to define what these other functions might be. This article presents the main reasons for decommissioning cemeteries and links them with subsequent land use. The history of cemetery locations in five major Polish cities was analyzed to determine the extent to which cemeteries were decommissioned. In the two cities with the highest number of decommissioned cemeteries, further research was carried out in order to establish the typical land use of these former cemeteries, whether this usage is related to the size or type of the former cemetery, and whether change in land use is an advantage or a disadvantage for the urban ecosystem.
Framework for Assessing Urban Energy Sustainability
Authors: Haddad Assed , Hammad Ahmed , Castro Danielle , Vasco Diego , Soares Carlos Alberto Pereira
Published: August 2021

The social, economic, and environmental impacts associated with fuels used to power cities cause the sustainability of energy produced and consumed in our urban environment to be constantly challenged. In order to address the issue of urban energy sustainability, we propose a Framework for Assessing Urban Energy Sustainability (FAUES), whose main approach relies on defining a method for determining critical indices associated with the major criteria of sustainable energy generation and consumption. The framework is based on developing a three-step process that integrates historical data regarding energy consumption and production and forecasted parameters on energy sustainability and can be used both in urban energy operations and in planning new urban settlements. The framework was implemented in Brazil as a representative case study, given that its cities lack social inclusion, economic stability, and environmental protection when it comes to energy. The framework functions so that policy makers and managers can assess the sustainability of energy produced and consumed in urban environments on the basis of relevant criteria for the city in which the energy is being evaluated.
Natural Infrastructure Practices as Potential Flood Storage and Reduction for Farms and Rural Communities in the North Carolina Coastal Plain
Authors: Hovis Meredith , Hollinger Joseph Chris , Cubbage Frederick , Shear Theodore , Doll Barbara , Kurki-Fox J. Jack , Line Daniel , Fox Andrew , Baldwin Madalyn , Klondike Travis , Lovejoy Michelle , Evans Bryan , West Jaclyn , Potter Thomas
Published: August 2021

Increased global temperatures resulting from anthropogenically induced climate changes have increased the frequency and severity of adverse weather events, including extreme rainfall events, floods, and droughts. In recent years, nature-based solutions (NBS) have been proposed to retain storm runoff temporarily and mitigate flood damages. These practices may help rural farm and forest lands to store runoff and reduce flooding on farms and downstream communities and could be incorporated into a conservation program to provide payments for these efforts, which would supplement traditional farm incomes. Despite their potential, there have been very few methodical assessments and detailed summaries of NBS to date. We identified and summarized potential flood reduction practices for the Coastal Plain of North Carolina. These include agricultural practices of (1) cover cropping/no-till farming; (2) hardpan breakup; (3) pine or (4) hardwood afforestation, and (5) agroforestry; establishing the wetland and stream practices of (6) grass and sedge wetlands and earthen retention structures, (7) forest wetland banks, and (8) stream channel restoration; and establishing new structural solutions of (9) dry dams and berms (water farming) and (10) tile drainage and water retention. These practices offer different water holding and storage capacities and costs. A mixture of practices at the farm and landscape level can be implemented for floodwater retention and attenuation and damage reduction, as well as for providing additional farm and forest ecosystem services.
A Forefront Framework for Sustainable Aquaponics Modeling and Design
Authors: Danish Mir Sayed Shah , Senjyu Tomonobu , Sabory Najib Rahman , Khosravy Mahdi , Grilli Maria Luisa , Mikhaylov Alexey , Majidi Hemayatullah
Published: August 2021

Aquaponics systems and technologies are growing primary industries in many countries, with high environmental and socio-economic advantages. Aquaponics is a closed-loop system that produces aquatic animals and plants in a new way using recirculated water and nutrients. With a growing world population expected to reach 9.7 billion by 2050, food production sustainability is a primary issue in today’s world agenda, and aquaponics and aquaculture systems can be potential contributors to the challenge. Observing the climate changes and global warming’s impact on the ecosystem, decreasing aqua animal stocks, and responding to increasing demand are turning points in the sustainability era. In the past 15 years, fish production has doubled, thus denoting that aquaponics transforms into commercial scales with a revolutionized production, high efficiency, and fewer resources’ utilization, thus requiring proper operation and management standards and practices. Therefore, this study aims to shape a new framework for sustainable aquaponics modeling and utilization as the all-in-one solution platform covering technical, managerial, socio-economic, institutional, and environmental measures within the suitability requirements. The proposed model in this study offers a systematic approach to the design and implementation of sustainability-efficient aquaponics and aquaculture systems. Through an exhaustive coverage of the topic, this research effort can be counted as a practical reference for researchers, scholars, experts, practitioners, and students in the context of aquaponics and aquaculture studies.
Development of a Decisional Procedure Based on Fuzzy Logic for the Energy Retrofitting of Buildings
Authors: Barelli Linda , Belloni Elisa , Bidini Gianni , Buratti Cinzia , Pinchi Emilia Maria
Published: August 2021

This paper concerns the development of an automatic tool, based on Fuzzy Logic, which is able to identify the proper solutions for the energy retrofitting of existing buildings. Regarding winter heating, opaque and glazing surfaces are considered in order to reduce building heat dispersions. Starting from energy diagnosis, it is possible to formulate retrofitting proposals and to evaluate the effectiveness of the intervention considering several aspects (energy savings, costs, intervention typology). The innovation of this work is represented by the application of a fuzzy logic expert system to obtain an indication about the proper interventions for building energy retrofitting, providing as inputs only few parameters, with a strong reduction in time and effort with respect to the software tools and methodologies currently applied by experts. The novelty of the paper is the easy handling properties of the developed tool, which requires only a few data about the buildings: not many such methods were developed in the last years. The energy requirements for winter heating before and after particular interventions were evaluated for a consistent set of buildings in order to produce the required knowledge base for the tool’s development. The identified appropriate inputs and outputs, their domains of discretization, the membership functions associated to each fuzzy set, and the linguistic rules were deduced on the basis of the knowledge determined in this was. Therefore, the system was successfully validated with reference to further buildings characterized by different design and architecture features, showing a good agreement with the intervention opportunities evaluated.
Towards Making an Invisible Diversity Visible: A Study of Socially Structured Barriers for Purple Collar Employees in the Workplace
Authors: Ullah Zia , AlDhaen Esra , Naveed Rana Tahir , Ahmad Naveed , Scholz Miklas , Hamid Tasawar Abdul , Han Heesup
Published: August 2021

Eunuchs and members of the transgender community are yet to be recognized as an effective human resource and this diversity in the workforce is still invisible. A tiny portion of the transgender community is employed, and they are tagged as purple collar employees. It is generally claimed that coworkers do not accept members of the transgender community in the workplace and are not willing to work with them due to their different personal, social, and work-related characteristics. This study aimed to investigate coworkers’ attitudes towards transgender colleagues and their willingness to work with them in the workplace. We selected the Punjab province of Pakistan as the context for the study where more than five hundred thousand members of the transgender community live. We collected data from 363 randomly selected respondents working in an organization where transgender people also worked. We applied Structural Equation Modeling (SEM) to analyze the data. Our findings revealed that coworkers do not hesitate to work with transgender people merely based on their biological differences. Coworkers’ willingness was more influenced by social attributes (trust and support) and work attributes (knowledge, ability, and motivation) irrespective of gender differences. The study strongly suggests tapping this invisible human resource and mainstreaming this resource to emancipate transgender people from poverty and to bring a productive diversity in the workforce. Government should frame policies to provide all human rights including national identity, health and educational facilities, and organizations should provide transgender people with jobs to properly utilize this untapped human resource.
What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul
Authors: Kim Sujae , Choo Sangho , Choi Sungtaek , Lee Hyangsook
Published: August 2021

Mobility as a Service (MaaS), which integrates public and shared transportation into a single service, is drawing attention as a travel demand management strategy aimed at reducing automobile dependency and encouraging public transit. In particular, there have been few studies that recognize traffic congestion during peak hours and identify related factors for practical application. The purpose of this study is to explore what factors affect Seoul commuters’ mode choice including MaaS. A web-based survey that 161 commuters participated in was conducted to collect information about personal, household, and travel attributes, together with their mode preference for MaaS. A latent class model was developed to classify unobserved latent groups based on trip frequency by means and to identify factors influencing mode-specific utilities (in particular, MaaS service) for each class. The result shows that latent classes are divided into two groups (public transit-oriented commuters and balanced mode commuters). Most variables have significant impacts on choice for MaaS. The coefficient of MaaS choice of Class 1 and Class 2 were different. These findings suggest there is a difference between the classes according to trip frequency by means as an influencing factor in MaaS choice.
Microcredit Impact on Socio-Economic Development and Women Empowerment in Low-Income Countries: Evidence from Yemen
Authors: Al-shami Samer Ali , Al Mamun Abdullah , Rashid Nurulizwa , Al-shami Mohammed
Published: August 2021

Microcredit financing is extensively considered as an effective development method for poverty mitigation and women empowerment. Nevertheless, relevant studies reflected opposing outcomes on microfinance effects consisting of positive, zero, and negative impacts. Thus, this research investigated Al-Amal Bank’s microcredit impacts on women empowerment in Yemen, one of the poorest Middle Eastern nations. A panel dataset and primary and secondary data were gathered through household surveys and propensity score matching to restrict intangible variables’ possible effects. The empirical results revealed that microcredit had a significant positive effect on monthly household incomes and accumulated asset values. Although microcredit facilitated female entrepreneurship and income generation for improved household incomes and expenditure, no influence was found on female household decisions and mobility following the patriarchal system practised in many Arabian nations, including Yemen. Hence, the study finding has theoretically and practically contributed to the body of knowledge in three ways. First, a novel proof of how microcredit interactions affected several Yemeni women empowerment elements was identified. This study also provides new insight into the empowerment theory by explaining how access to microcredit influences numerous features of women’s economic and social empowerment. Lastly, social and family traditions significantly influenced female attributes and lifestyles by reflecting how communal and family rituals affected microcredit impacts on women empowerment and vice versa. Conversely, this study guides Yemeni policymakers and those from other nations on extending financial services for self-development to reduce poverty and drive women empowerment rather than relying on government and international agencies.
Buddhist-Led Rural Community Rebuilding in the Republic of Korea from the Indra’s Net Perspective
Authors: Suh Jungho
Published: August 2021

This paper zeros in on Buddhist-led community rebuilding with a special reference to Sannae District in Namwon, Jeonbuk Province in the Republic of Korea (South Korea). Until the 1990s, the district witnessed the traditional sense of community rapidly disappearing along with tidal rural-urban migration and agricultural industrialisation. Since the late 1990s, Silsang-sa, an about 1200-year-old Buddhist monastery located in the rural district, has strived to help revitalise the rural community. Reverend Tobŏp, the head monk of the monastery, brought attention to the overarching Buddhist doctrines of ‘dependent arising’ and ‘Indra’s Net’ that every phenomenon arises only in relation to others. To start with, in 1998 Reverend Tobŏp set up an organic agriculture training camp on Silsang-sa Farm for prospective rural migrants. In 2001, he established Silsang-sa Small School, which is an alternative secondary school with Buddhist ecology and economics included in the curriculum. Owing to increasing in-migration, Sannae District has gradually evolved into a socially and economically vibrant and sustainable community in which a variety of social clubs and commercial cooperatives have burgeoned.
Do the Green Credit Guidelines Affect Renewable Energy Investment? Empirical Research from China
Authors: Zhang Kexian , Wang Yan , Huang Zimei
Published: August 2021

How to promote renewable energy investment is central to energy transformation and green development. To take China’s “green credit guidelines” policy as a quasi-natural experiment, we investigate the impacts of green credit policy on renewable energy investment. Using the samples of 1021 Chinese listed enterprises during 2007–2017, we find that: Firstly, the introduction of the green credit guidelines has promoted renewable energy investment. Secondly, short-term debts play a mediating role in the impacts of green credit guidelines on renewable energy investment, while long-term debts play a masking role, and financing constraints do not play a significant role. Thirdly, the heterogeneous impacts on renewable energy investment are reflected in different ownerships and enterprise scales, with significant impacts on the state-owned enterprises and small ones.
Modeling and Optimization for Multi-Objective Nonidentical Parallel Machining Line Scheduling with a Jumping Process Operation Constraint
Authors: Xu Guangyan , Guan Zailin , Yue Lei , Mumtaz Jabir , Liang Jun
Published: August 2021

This paper investigates the nonidentical parallel production line scheduling problem derived from an axle housing machining workshop of an axle manufacturer. The characteristics of axle housing machining lines are analyzed, and a nonidentical parallel line scheduling model with a jumping process operation (NPPLS-JP), which considers mixed model production, machine eligibility constraints, and fuzzy due dates, is established so as to minimize the makespan and earliness/tardiness penalty cost. While the physical structures of the parallel lines in the NPPLS-JP model are symmetric, the production capacities and process capabilities are asymmetric for different models. Different from the general parallel line scheduling problem, NPPLS-JP allows for a job to transfer to another production line to complete the subsequent operations (i.e., jumping process operations), and the transfer is unidirectional. The significance of the NPPLS-JP model is that it meets the demands of multivariety mixed model production and makes full use of the capacities of parallel production lines. Aiming to solve the NPPLS-JP problem, we propose a hybrid algorithm named the multi-objective grey wolf optimizer based on decomposition (MOGWO/D). This new algorithm combines the GWO with the multi-objective evolutionary algorithm based on decomposition (MOEA/D) to balance the exploration and exploitation abilities of the original MOEA/D. Furthermore, coding and decoding rules are developed according to the features of the NPPLS-JP problem. To evaluate the effectiveness of the proposed MOGWO/D algorithm, a set of instances with different job scales, job types, and production scenarios is designed, and the results are compared with those of three other famous multi-objective optimization algorithms. The experimental results show that the proposed MOGWO/D algorithm exhibits superiority in most instances.
Higher Number of Yeast-like Fungi in the Air in 2018 after an Emergency Discharge of Raw Sewage to the Gulf of Gdańsk—Use of Contingency Tables
Authors: Michalska Małgorzata , Wąż Piotr , Kurpas Monika , Marks Roman , Zorena Katarzyna
Published: August 2021

This study aimed to investigate the differences between the number of yeast-like fungi and molds in the coastal air of five coastal towns of the Gulf of Gdańsk in 2014–2017 vs. 2018, which saw an emergency discharge of sewage. In 2014–2017, a total of 62 duplicate samples were collected in the coastal towns of Hel, Puck, Gdynia, Sopot, and Gdańsk-Brzeźno. In 2018, after the emergency disposal of raw sewage, 26 air samples were collected. A Pearson chi-squared test of independence showed that during 2018 in Hel and Sopot, the mean number of molds and yeast-like fungi was higher than in 2014–2017. The result was significantly positive, p ≤ 2.22 × 10−16. The analysis of the General Asymptotic Symmetry Test showed that in Puck and Gdańsk-Brzeźno, the average number of Aspergillus sp. mold fungi was higher in 2018 after an emergency discharge of sewage into the Gulf of Gdańsk compared to the period 2014–2017. The result was not statistically significant. In addition, the average number of Penicillium sp. molds in 2018 in Gdańsk-Brzeźno was higher than in 2014–2017, but statistically insignificant (p = 0.9593). In 2018, the average number of Cladosporium sp. molds in Sopot was higher, but also statistically insignificant (p = 0.2114) compared to 2014–2017. Our results indicate that the study of the number of yeast-like fungi in the air may indicate coastal areas that may be particularly at risk of bacterial or mycological pathogens, e.g., after an emergency discharge of raw sewage.
The Planar Thirring Model with Kähler-Dirac Fermions
Authors: Hands Simon
Published: August 2021

Kähler’s geometric approach in which relativistic fermion fields are treated as differential forms is applied in three spacetime dimensions. It is shown that the resulting continuum theory is invariant under global U(N)⊗U(N) field transformations and has a parity-invariant mass term, which are symmetries shared in common with staggered lattice fermions. The formalism is used to construct a version of the Thirring model with contact interactions between conserved Noether currents. Under reasonable assumptions about field rescaling after quantum corrections, a more general interaction term is derived, sharing the same symmetries but now including terms which entangle spin and taste degrees of freedom, which exactly coincides with the leading terms in the staggered lattice Thirring model in the long-wavelength limit. Finally, truncated versions of the theory are explored; it is found that excluding scalar and pseudoscalar components leads to a theory of six-component fermion fields describing particles with spin 1, with fermion and antifermion corresponding to states with definite circular polarisation. In the UV limit, only transverse states with just four non-vanishing components propagate. Implications for the description of dynamics at a strongly interacting renormalisation group fixed point are discussed.
A General Model for Describing the Ovate Leaf Shape
Authors: Shi Peijian , Yu Kexin , Niklas Karl J. , Schrader Julian , Song Yu , Zhu Renbin , Li Yang , Wei Hailin , Ratkowsky David A.
Published: August 2021

Many plant species produce ovate leaves, but there is no general parametric model for describing this shape. Here, we used two empirical nonlinear equations, the beta and Lobry–Rosso–Flandrois (LRF) equations, and their modified forms (referred to as the Mbeta and MLRF equations for convenience), to generate bilaterally symmetrical curves along the x-axis to form ovate leaf shapes. In order to evaluate which of these four equations best describes the ovate leaf shape, we used 14 leaves from 7 Neocinnamomum species (Lauraceae) and 72 leaves from Chimonanthus praecox (Calycanthaceae). Using the AIC and adjusted root mean square error to compare the fitted results, the modified equations fitted the leaf shapes better than the unmodified equations. However, the MLRF equation provided the best overall fit. As the parameters of the MLRF equation represent leaf length, maximum leaf width, and the distance from leaf apex to the point associated with the maximum leaf width along the leaf length axis, these findings are potentially valuable for studying the influence of environmental factors on leaf shape, differences in leaf shape among closely related plant species with ovate leaf shapes, and the extent to which leaves are bilaterally symmetrical. This is the first work in which temperature-dependent developmental equations to describe the ovate leaf shape have been employed, as previous studies lacked similar leaf shape models. In addition, prior work seldom attempted to describe real ovate leaf shapes. Our work bridges the gap between theoretical leaf shape models and empirical leaf shape indices that cannot predict leaf shape profiles.
Continued Roots, Power Transform and Critical Properties
Authors: Gluzman Simon
Published: August 2021

We consider the problem of calculation of the critical amplitudes at infinity by means of the self-similar continued root approximants. Region of applicability of the continued root approximants is extended from the determinate (convergent) problem with well-defined conditions studied before by Gluzman and Yukalov (Phys. Lett. A 377 2012, 124), to the indeterminate (divergent) problem my means of power transformation. Most challenging indeterminate for the continued roots problems of calculating critical amplitudes, can be successfully attacked by performing proper power transformation to be found from the optimization imposed on the parameters of power transform. The self-similar continued roots were derived by systematically applying the algebraic self-similar renormalization to each and every level of interactions with their strength increasing, while the algebraic renormalization follows from the fundamental symmetry principle of functional self-similarity, realized constructively in the space of approximations. Our approach to the solution of the indeterminate problem is to replace it with the determinate problem, but with some unknown control parameter b in place of the known critical index β. From optimization conditions b is found in the way making the problem determinate and convergent. The index β is hidden under the carpet and replaced by b. The idea is applied to various, mostly quantum-mechanical problems. In particular, the method allows us to solve the problem of Bose-Einstein condensation temperature with good accuracy.