bluuebunny/crossref_metadata_2025 huggingface dataset:
Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study
Authors: Marano Giulio , Brambilla Cristina , Mira Robert Mihai , Scano Alessandro , Müller Henning , Atzori Manfredo
Published: November 2021

One major challenge limiting the use of dexterous robotic hand prostheses controlled via electromyography and pattern recognition relates to the important efforts required to train complex models from scratch. To overcome this problem, several studies in recent years proposed to use transfer learning, combining pre-trained models (obtained from prior subjects) with training sessions performed on a specific user. Although a few promising results were reported in the past, it was recently shown that the use of conventional transfer learning algorithms does not increase performance if proper hyperparameter optimization is performed on the standard approach that does not exploit transfer learning. The objective of this paper is to introduce novel analyses on this topic by using a random forest classifier without hyperparameter optimization and to extend them with experiments performed on data recorded from the same patient, but in different data acquisition sessions. Two domain adaptation techniques were tested on the random forest classifier, allowing us to conduct experiments on healthy subjects and amputees. Differently from several previous papers, our results show that there are no appreciable improvements in terms of accuracy, regardless of the transfer learning techniques tested. The lack of adaptive learning is also demonstrated for the first time in an intra-subject experimental setting when using as a source ten data acquisitions recorded from the same subject but on five different days.
A Clustering Method of Case-Involved News by Combining Topic Network and Multi-Head Attention Mechanism
Authors: Mao Cunli , Liang Haoyuan , Yu Zhengtao , Huang Yuxin , Guo Junjun
Published: November 2021

Finding the news of same case from the large numbers of case-involved news is an important basis for public opinion analysis. Existing text clustering methods usually based on topic models which only use topic and case infomation as the global features of documents, so distinguishing between different cases with similar types remains a challenge. The contents of documents contain rich local features. Taking into account the internal features of news, the information of cases and the contributions provided by different topics, we propose a clustering method of case-involved news, which combines topic network and multi-head attention mechanism. Using case information and topic information to construct a topic network, then extracting the global features by graph convolution network, thus realizing the combination of case information and topic information. At the same time, the local features are extracted by multi-head attention mechanism. Finally, the fusion of global features and local features is realized by variational auto-encoder, and the learned latent representations are used for clustering. The experiments show that the proposed method significantly outperforms the state-of-the-art unsupervised clustering methods.
GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention
Authors: Sharma Udit , Artacho Bruno , Savakis Andreas
Published: November 2021

We propose GourmetNet, a single-pass, end-to-end trainable network for food segmentation that achieves state-of-the-art performance. Food segmentation is an important problem as the first step for nutrition monitoring, food volume and calorie estimation. Our novel architecture incorporates both channel attention and spatial attention information in an expanded multi-scale feature representation using our advanced Waterfall Atrous Spatial Pooling module. GourmetNet refines the feature extraction process by merging features from multiple levels of the backbone through the two attention modules. The refined features are processed with the advanced multi-scale waterfall module that combines the benefits of cascade filtering and pyramid representations without requiring a separate decoder or post-processing. Our experiments on two food datasets show that GourmetNet significantly outperforms existing current state-of-the-art methods.
Determination of Sr–Nd–Pb Isotopic Ratios of Rock Reference Materials Using Column Separation Techniques and TIMS
Authors: Jo Hui Je , Lee Hyo Min , Kim Go-Eun , Choi Won Myung , Kim Taehoon
Published: November 2021

Thermal ionization mass spectrometry (TIMS) can provide highly accurate strontium (Sr), neodymium (Nd), and lead (Pb) isotope measurements for geological and environmental samples. Traces of these isotopes are useful for understanding crustal reworking and growth. In this study, we conducted a sequential separation of Sr, Nd, and Pb and subsequently measured the 87Sr/86Sr, 143Nd/144Nd, 206Pb/204Pb, 207Pb/204Pb, and 208Pb/204Pb ratios of 13 widely used rock certified reference materials (CRMs), namely BCR-2, BHVO-2, GSP-2, JG-1a, HISS-1, JLk-1, JSd-1, JSd-2, JSd-3, LKSD-1, MAG-1, SGR-1, and 4353A, using TIMS. In particular, we reported the first isotopic ratios of Sr, Nd, and Pb in 4353A, Sr and Nd in HISS-1 and SGR-1, and Sr in JLk-1, JSd-2, JSd-3, and LKSD-1. The Sr–Nd–Pb isotopic compositions of most in-house CRMs were indistinguishable from previously reported values, although the Sr and Pb isotopic ratios of GSP-2, JSd-2, JSd-3, and LKSD-1 obtained in different aliquots and/or batches varied slightly. Hence, these rock reference materials can be used for monitoring the sample accuracy and assessing the quality of Sr–Nd–Pb isotope analyses.
Deep Ensembles Based on Stochastic Activations for Semantic Segmentation
Authors: Lumini Alessandra , Nanni Loris , Maguolo Gianluca
Published: November 2021

Semantic segmentation is a very popular topic in modern computer vision, and it has applications in many fields. Researchers have proposed a variety of architectures for semantic image segmentation. The most common ones exploit an encoder–decoder structure that aims to capture the semantics of the image and its low-level features. The encoder uses convolutional layers, in general with a stride larger than one, to extract the features, while the decoder recreates the image by upsampling and using skip connections with the first layers. The objective of this study is to propose a method for creating an ensemble of CNNs by enhancing diversity among networks with different activation functions. In this work, we use DeepLabV3+ as an architecture to test the effectiveness of creating an ensemble of networks by randomly changing the activation functions inside the network multiple times. We also use different backbone networks in our DeepLabV3+ to validate our findings. A comprehensive evaluation of the proposed approach is conducted across two different image segmentation problems: the first is from the medical field, i.e., polyp segmentation for early detection of colorectal cancer, and the second is skin detection for several different applications, including face detection, hand gesture recognition, and many others. As to the first problem, we manage to reach a Dice coefficient of 0.888, and a mean intersection over union (mIoU) of 0.825, in the competitive Kvasir-SEG dataset. The high performance of the proposed ensemble is confirmed in skin detection, where the proposed approach is ranked first concerning other state-of-the-art approaches (including HarDNet) in a large set of testing datasets.
Who Pays? Measuring Differences in the Process of Repayment of Legal Financial Obligations
Authors: Powell Kathleen
Published: November 2021

This study identifies the correlates of legal financial obligation (LFO) debt repayment among persons sentenced to probation and transferred to a specialized collections unit. Using bivariate tests and logistic regression, results indicate that starting balance amounts, monthly payment amounts, and enforcement actions (capias warrant) are the strongest influences on the likelihood of full debt repayment. These results indicate that some persons will struggle to repay their LFO balances if amounts assessed are in excess of their means, even in an institutional context adopting an individualized, flexible, and non-punitive approach to collections. Policy implications suggest a need for reform at the point of LFO assessment to avoid imposing obligations that are unreasonable to individuals’ ability to repay.
An Analysis of Acceleration, Deceleration and High-Intensity Skating during Elite Bandy Match-Play: A Case Study
Authors: Johansson Malin , Ervasti Per-Erik , Blomqvist Sven
Published: November 2021

Profiles of physical workload in sports are useful to optimize performance and reduce the risk of injury. The aim of the study was to investigate physical workload in 10 elite bandy players by describing acceleration, deceleration, and high-intensity skating during bandy match-play. During 13 home matches, 10 male elite bandy players wore a GPS unit to measure changes in the total distance, total distance skating in two speed zones, and total distance of acceleration and deceleration. A within-subject design was used to measure changes over time during match-play by comparing first and second halves as well as comparisons for consecutive 15 min intervals. No significant differences were observed for high-intensity or very high-intensity acceleration and deceleration for comparisons by halves or for 15-min intervals. For comparisons by halves, a significant time-dependent effect was observed on very fast skating (1337.6 m vs. 1160.9 m), sprint skating (300.0 m vs. 272.0 m), low-intensity acceleration (342.7 m vs. 333.0 m), and total distance covered (10,916.9 m vs. 10,450.3 m). These variables, along with low-intensity deceleration, were also significant for the 15 min interval comparisons. The results show that there is no time-dependent reduction in high-intensity acceleration and deceleration in elite bandy match-play. However, elite bandy players do not maintain the distance of high-intensity skating throughout a whole match.
Credibility of Causal Estimates from Regression Discontinuity Designs with Multiple Assignment Variables
Authors: Whata Albert , Chimedza Charles
Published: November 2021

In this paper, we determine treatment effects when the treatment assignment is based on two or more cut-off points of covariates rather than on one cut-off point of one assignment variable. using methods that are referred to as multivariate regression discontinuity designs (MRDD). One major finding of this paper is the discovery of new evidence that both matric points and household income have a huge impact on the probability of eligibility for funding from the National Student Financial Aid Scheme (NSFAS) to study for a bachelor’s degree program at universities in South Africa. This evidence will inform policymakers and educational practitioners on the effects of matric points and household income on the eligibility for NSFAS funding. The availability of the NSFAS grant impacts greatly students’ decisions to attend university or seek other opportunities elsewhere. Using the frontier MRDD analytical results, barely scoring matric points greater than or equal to 25 points compared to scoring matric points less than 25 for students whose household income is less than R350,000 (≈US$2500) increases the probability of eligibility for NSFAS funding by a significant 3.75 ( p-value = 0.0001 < 0.05) percentage points. Therefore, we have shown that the frontier MRDD can be employed to determine the causal effects of barely meeting the requirements of one assignment variable, among the subjects that either meet or fail to meet the requirements of the other assignment variable.
Applications of Models and Tools for Mesoscale and Microscale Thermal Analysis in Mid-Latitude Climate Regions—A Review
Authors: Lobaccaro Gabriele , De Ridder Koen , Acero Juan Angel , Hooyberghs Hans , Lauwaet Dirk , Maiheu Bino , Sharma Richa , Govehovitch Benjamin
Published: November 2021

Urban analysis at different spatial scales (micro- and mesoscale) of local climate conditions is required to test typical artificial urban boundaries and related climate hazards such as high temperatures in built environments. The multitude of finishing materials and sheltering objects within built environments produce distinct patterns of different climate conditions, particularly during the daytime. The combination of high temperatures and intense solar radiation strongly perturb the environment by increasing the thermal heat stress at the pedestrian level. Therefore, it is becoming common practice to use numerical models and tools that enable multiple design and planning alternatives to be quantitatively and qualitatively tested to inform urban planners and decision-makers. These models and tools can be used to compare the relationships between the micro-climatic environment, the subjective thermal assessment, and the social behaviour, which can reveal the attractiveness and effectiveness of new urban spaces and lead to more sustainable and liveable public spaces. This review article presents the applications of selected environmental numerical models and tools to predict human thermal stress at the mesoscale (e.g., satellite thermal images and UrbClim) and the microscale (e.g., mobile measurements, ENVI-met, and UrbClim HR) focusing on case study cities in mid-latitude climate regions framed in two European research projects.
Urban Sustainability Deficits: The Urban Non-Sustainability Index (UNSI) as a Tool for Urban Policy
Authors: Raedo Rubén
Published: November 2021

Urban sustainability has been revealed as one of the key elements in achieving global sustainability. There is a wide range of indicators in this field; however, sustainability indicators have not been exempt from criticism, in both their formal aspects and practical usefulness. If measuring sustainability is “measuring the immeasurable”, then the objective of this article is to propose a composite indicator that evaluates only the deficits of sustainability or, which is the same thing, the unsustainability of cities. This focus has the advantage of showing up the particular deficiencies and thus the priorities that each city must attend to. For this purpose, only unsustainability, defined as the distance to a sustainability target, was considered. Aggregation was carried out through generalized means, which lead to a proper balance between compensatory and non-compensatory aggregation. The results emerging from the application of our methodology to a sample of fifty different cities suggest that all cities should attend to some aspect concerning sustainability, and that no city is sustainable, but only less unsustainable, showing both significant differences between cities in terms of the degree of unsustainability and a common underlying structure of unsustainability in which the environmental dimension contributes the most.
Soft Skills of American University Teachers: Self-Concept
Authors: Fernández-Arias Pablo , Antón-Sancho Álvaro , Vergara Diego , Barrientos Amelia
Published: November 2021

Today, soft skills (transversal competencies) are increasingly appreciated by employers as essential skills for professional success. Likewise, these competencies are necessary to be able to operate as individuals in today’s society. In view of this situation, in the future post-COVID-19 educational model it is necessary to design training programs that promote both hard skills (specific competencies) and soft skills. This fact brings to the table the need for university teachers to have an optimal level of soft skills so that their students can acquire them. Given this situation, this paper aims to analyze the degree of acquisition of this type of competencies in American university teachers from different regions: (i) North America; (ii) Central America, and (iii) Southern Cone. To achieve this objective, it has been necessary to develop a questionnaire on the self-concept of soft skills, based on several variables: (i) gender, (ii) age range, (iii) geographic area, (iv) area of knowledge, (v) years of teaching experience, and (vi) university tenure (public-private). The questionnaire developed was based on the soft skills included in the Bochum Inventory of Personality and Competences (BIP). Results, obtained by descriptive and inferential statistical analysis of the means and deviations of the data collected from a sample of 473 participants, reflect that, in general, the American university teachers have a high self-concept about their degree of soft skills development. Although results show significant differences depending on each variable considered in this study, it can be suggested that the American university teachers are prepared to face a mixed university educational model, which promotes equally both hard skills and soft skills.
Social Capital and Running: A Network Social Capital Perspective
Authors: Ma Shang-Chun , Kaplanidou Kyriaki
Published: November 2021

This study examines the measurement of position generators as a proxy of network social capital (NSC) and its influence on the extensity and upper reachability of social capital and sport/running participation. An analysis of 373 runners shows that running exercise participants rely on diverse relations to access and increase their social capital levels; stronger ties with the accessed occupations via running activities can help reach people with higher occupational prestige; access to more intermediate class occupations is significantly positively associated with upper reachability, whereas access to more working class occupations is significantly negatively associated with upper reachability; those who are older and have strong ties with people in accessed occupations known via running activities have higher levels of sport/running participation. We provide evidence for the application of NSC theory in sport to better understand how social networks operate by accessing extensity and upper reachability of social capital and how NSC influences sport (running) participation.
Small Hydropower Plant for Sustainable Electricity from RES Mix
Authors: Popa Bogdan , Nedelcu Otilia , Popa Florica , Ahmad-Rashid Khalid , Tică Eliza-Isabela
Published: November 2021

In the context of the need for an increasing share of renewables in electricity mixes, the paper presents the existing RES mix, PV and wind, for partially covering the electricity consumption of a research institute, ICSTM, and proposes a solution for completion with a third form of RES, a small hydropower plant. Moreover, it is envisaged to include the proposed small hydropower plant as a new real-scale laboratory attached to ICSTM. The method includes the presentation of an existing proposal for increasing installed capacity in new PV panels and propose to install an SHPP to a weir situated a few hundred meters from the institute. The hydropower potential for two possible arrangements is assessed and some types of turbines suitable for this location are presented. The main results demonstrate that building an SHPP is a better solution for completion of PV and wind as source of electricity for ICSTM. The main conclusion of the paper is that by installing new RES capacities, ICSTM can build a real-scale laboratory for new technologies, at the same time fully covering its own electricity consumption and even supplying a green electricity mix into the national power system.
A Case Study of Tourist Perceptions and Revisit Intention Regarding Qingwan Cactus Park in Penghu, Taiwan
Authors: Tan Paul Juinn Bing , Yao Hui-mei , Hsu Ming-Hung
Published: November 2021

In recent years, the citizens of Taiwan have exhibited an increasing demand for domestic tourism and travel options. Due to their relatively early development as a domestic tourism destination, the Penghu Islands are well known for their rich natural and cultural resources. The purpose of this study was to examine factors influencing tourists’ visits to Qingwan Cactus Park, including their reasons for visiting and their perceptions of their visits. With principal component analysis serving as the basis for an IPA methodology, and using the visiting destination as a reference point, the results obtained can provide a basic guideline for tourism planning. The visitors’ reactions and demands were re-examined through IPA analysis. The results could be used by national park managers to develop constructive suggestions on implementing sustainable development in Taiwan’s tourism industries. This study presents valuable data on Penghu and provides analyses of residents’ and tourists’ opinions, as well as their reactions. The study’s conclusions can be extrapolated to research on other destinations outside of Taiwan.
Human Resource Management in Crisis Situations: A Systematic Literature Review
Authors: Edvardsson Ingi Runar , Durst Susanne
Published: November 2021

The paper aims to present a systematic literature review in the field of human resource management in times of crisis since 2008. In that way gaps in the current body of knowledge can be established that justify future research guidelines. The study consists of an analysis of 56 articles published in journals indexed in the Web of Science database. The majority of the papers were published in recent years, indicating a growing interest in the field. To be included, the papers had to be (1) peer-reviewed papers, (2) empirical papers that report on HRM practices in firms, (3) written in English, and (4) published in the period 2008–2021. Four themes were identified: economic crisis and HRM, health crisis and HRM, natural disasters and HRM, and political instability and HRM. The findings provide valuable knowledge and understanding of the present situation of HRM in crises. A number of future research guidelines are presented, which may encourage more research in this crucial field of study.
The Good, the Bad, and the Ugly: Food Packaging and Consumers
Authors: Langley Sophie , Phan-Le Nhat Tram , Brennan Linda , Parker Lukas , Jackson Michaela , Francis Caroline , Lockrey Simon , Verghese Karli , Alessi Natalia
Published: November 2021

Food waste is a significant environmental, economic, and social issue. In many cases, packaging protects food and prolongs its shelf life, reducing the overall environmental impact by reducing food waste. This research focuses on consumer perceptions of the role of packaging and on-pack labelling in reducing household food waste. The following research questions provided the framework for the study: (1) could packaging play a role in decreasing food waste; (2) what are labelling and packaging designs’ impacts on consumer decision-making about food waste? This research draws on two qualitative studies. Study One focuses on journey mapping—following food waste throughout the consumer’s engagement with food ‘journey’ from planning to disposal. Study Two comprises a series of in-depth interviews in consumers’ homes focusing on how consumers engage with food packaging and food waste. Results indicate that there are at least two streams of consumer perceptions to consider when determining the relationship between food packaging and reducing food waste: the first is how practically useful packaging is for consumer needs; the second is consumers’ perceptions about food packaging itself. There are tensions and trade-offs between these two sets of considerations. The results of the studies show consumers are unlikely to consider food packaging or reducing food waste as a primary motivation in their food purchasing decisions. The studies also show reducing packaging, including plastic packaging, is seen as more important than reducing food waste. Our results also highlight important elements to consider when designing food packaging. These results suggest that a fundamental review is needed for many aspects of packaging and storage information and that this review should account for consumers’ information needs at different points: purchase, storage, during consumption, and between instances of consumption. Furthermore, our results suggest packaging designs that provide clear information and instructions for consumers to reduce food waste are needed.
Biosphere Reserves in Lebanon: Rifts between Conservation Discourse and Practice
Authors: Karam Sarah , Martiniello Giuliano , Chalak Ali , Abi-Said Mounir , Hamadeh Shadi Kamal
Published: November 2021

Protected areas (PA), especially biosphere reserves (BR), are considered effective instruments for nature conservation and rural development. However, their impact on rural communities constitutes the most controversial debate in conservation policy and practice. This study aims to reveal the perceptions of local communities towards conservation, the extent of the inclusion of local communities in the establishment and management of a BR and the impact of BRs on local livelihoods by exploring a case study while reflecting on major debates in the conservation and rural development paradigms. Mixed research methods focusing on qualitative methodology are used. By exploring a BR in Lebanon, this research highlights how the allocation and management of the BRs have not always reflected participatory, sustainable and community-based approaches. This study stresses the importance of the locals’ engagement in the whole conservation process. By putting people, their needs and perceptions at the center of decision-making, conservation agencies would shift the main objective of BRs from conservation to poverty reduction.
Experimental and Theoretical Investigations of a Modified Single-Slope Solar Still with an External Solar Water Heater
Authors: Alwan Naseer T. , Shcheklein Sergey E. , Ali Obed Majeed , Majeed Milia H. , Agyekum Ephraim Bonah
Published: November 2021

One of the key impediments to the wide utilization of solar water desalination systems is limited production. Hence, this study aims at increasing the thermal performance of a single-slope solar still by increasing the surface area of evaporation and absorption exposed to sunlight. A hollow rotating cylinder was installed inside the still structure; this modified system was then joined with an outside solar water heater for productivity improvement. The obtained results show that a 0.5 rpm rotational speed ensured that the cylinder’s surface was kept wet. A mathematical model has been formulated using the finite difference method and the Fortran 90 programming language to assess the thermal performance productivity of two solar stills (conventional solar still (CSS) and modified solar still (MSS)) modelled under different conditions. The experimental and theoretical results are well agreed, with an error of 6.14%. The obtained results show that the maximum productivity recorded in July 2019 was about 11.1 L/m2 from the MSS and 2.8 L/m2 from the CSS, with an improvement rate ranging between 286% and 300% during June, July, August, and September 2019. The production cost per liter of distilled water from the modified and conventional solar stills was 0.0302 USD/L and 0.0312 USD/L, respectively, which indicates a noticeable reduction in the cost of distillate water production.
Counting the Cost: The Effect of COVID-19 Lockdown on Households in South East Nigeria
Authors: Ogunji Johnny , Iheanacho Stanley , Ogunji Chinwe Victoria , Olaolu Michael , Oleforuh-Okoleh Vivian , Amaechi Nuria , David Esther , Ndukauba Onyekachi , Ikegwu Theophilus Maduabuchukwu , Biamba Cresantus , Chinonyerem Delight
Published: November 2021

The present study measured household hunger in South-East Nigeria amidst the COVID-19 lockdown. A total of 1209 households (urban and rural locations) were sampled. Household hunger was determined using the Radimer–Cornel hunger scale. Results show that before the COVID-19 lockdown, hunger prevalence in the urban areas was 85.5%, whereas prevalence in the rural areas was significantly lower, at a prevalence of 79.9% (7.3% level of association—X2 = 6.499, p = 0.012). During the COVID-19 lockdown, the prevalence of hunger in the urban areas rose to 98.0% and 99.2% in the rural areas (4.9% level of association was X2 = 2.888, p = 0.089). It was also observed that the COVID-19 lockdown significantly affected food prices. The major coping strategy employed by households was relying on less expensive foods (81.14%). High household hunger was identified as a short-term cost of the COVID-19 lockdown in South-East Nigeria. Only a few households (16.3%) benefited from the food aid programs and 16.9% from the government palliative cash transfer. It is recommended that the government setup a formidable unit that will develop physical and digital plans for effective implementation during a COVID-19 lockdown situation or other emergencies.
Spatial–Temporal Heterogeneity and Driving Factors of Rural Residents’ Food Consumption Carbon Emissions in China—Based on an ESDA-GWR Model
Authors: Qin Shuai , Chen Hong , Wang Haokun
Published: November 2021

The increase in income among Chinese residents has been accompanied by dramatic changes in dietary structure, promoting a growth in carbon emissions. Therefore, in the context of building a beautiful countryside, it is of great significance to study the carbon emissions of rural residents’ food consumption to realize the goal of low-carbon food consumption. In this paper, the calculation of food consumption carbon emissions of Chinese rural residents is based on the carbon conversion coefficient method, and the spatial heterogeneity of influencing factors is analyzed with the aid of the ESDA-GWR model. The results indicate that the per capita food consumption carbon emissions of rural residents have increased by 1.68% annually, reaching 336.73 kg CO2-eq in 2020, which is 1.32 times that of 2002. Carbon emissions generated from rural residents’ food consumption have significant spatial agglomeration characteristics, showing the spatial distribution characteristics of a north–south confrontation, with a central area collapse. The influencing factors of food consumption carbon emissions have significant spatial heterogeneity, among which, as the main force to restrain the growth of food consumption carbon emissions, the price factor has a regression coefficient between −0.1 and −0.3, and its influence has weakened from northwest to southeast in 2020. The education–social factor is the main driving force for the growth of food consumption carbon emissions, with a regression coefficient between 0.58 and 0.99, and its influence has increased from east to west. In the future, formulating food consumption optimization policies should be based on the actual situation of food consumption carbon emissions in various regions to promote the realization of low-carbon food consumption.
Energy/Economic Analysis and Optimization of On-Grid Photovoltaic System Using CPSO Algorithm
Authors: Alayi Reza , Mohkam Mahdi , Seyednouri Seyed Reza , Ahmadi Mohammad Hossein , Sharifpur Mohsen
Published: November 2021

Today, the use of renewable energy is increasing day by day, and this development requires the optimization of these technologies in various dimensions. Solar systems have a higher acceptance due to their high availability and accessibility; the most common solar technology is photovoltaic cell. In this research, modeling was done to achieve the most economically optimal arrangement of photovoltaic panels, inverters, and module placement to generate more electrical energy by considering economic parameters, for which the CPSO algorithm was used. Four different combinations of module and inverter were studied in this research, among which the second combination, which included PV module type one and inverter type two, was the best case. One of the significant results of the present study is 191,430 kWh of electrical energy during the studied year by the solar cell connected to the grid, which requires $42,792,727 to produce.
An Article on Green Firefighting Equipment in Taiwan
Authors: Huang Yu-Hsiang , Shen Tzu-Sheng
Published: November 2021

This paper discusses the relationship between green buildings and fire safety from a higher perspective including the traditional fire factors, fire resilience, sustainable building SAFR, social, ecological, and economic fields. There is no need to sacrifice fire safety in the name of sustainability. There is no direct report of fire incidents with green design elements. However, indirectly from the characteristics of residents, green buildings have a high degree of intersection with vulnerable groups, which directly affects the life safety of green building fires. The gray water recycling design of sustainable buildings (green buildings) combined with a simple waterway-connected sprinkler system will be an excellent cooperation example between green (Green Design) and red (Fire Safety). Taiwan’s photovoltaic development plan is expected to reach the 500 MW in 2025, which is equivalent to 2.5% of the government’s promotion target of 20 GW. Whether a PV fire occurs during the day or night, photovoltaic modules will generate lethal electricity, which is a potential hazard to first responders and rescue team.
Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates
Authors: Yan Qingyou , Ai Xingbei , Li Jinmeng
Published: November 2021

To improve the economic benefits of power systems in the process of achieving multi-energy complementation and decarbonization, this paper proposes a dispatching optimization model for virtual power plants (VPP) that considers carbon trading and green certificates. Firstly, the structure of the VPP system integrating wind and solar generators (WP and PV), power-to-gas (P2G), carbon capture power plants (CCPP) and price-based demand response (PBDR) is established. Secondly, the two-way interactive trading models among the VPP, carbon trading and green certification market are constructed. Then, the dispatching optimization model of the VPP is constructed. Finally, the numerical example is solved and analyzed by the chaotic particle swarm optimization algorithm, which verifies the rationality and effectiveness of the new model. The results show that: (1) when the VPP considers the CCPP-P2G, the cost of the system is reduced by USD 2550.48, while the CO2 emissions are reduced by nearly 50%; (2) the addition of PBDR reduces the CO2 emissions of the thermal power unit, which has reduced the cost of carbon tax by nearly 27.8%, further reducing the cost of the VPP; (3) the introduction of the carbon trading and green certificate market has reduced the operating cost of the VPP by nearly 22.24%.
Towards the Three Dimensions of Sustainability for International Research Team Collaboration: Learnings from the Sustainable and Healthy Food Systems Research Programme
Authors: Davids Rashieda , Scheelbeek Pauline , Sobratee Nafiisa , Green Rosemary , Häesler Barbara , Mabhaudhi Tafadzwanashe , Chatterjee Suparna , Venkateshmurthy Nikhil Srinivasapura , Mace Georgina , Dangour Alan , Slotow Rob
Published: November 2021

This paper highlights the potential for learning and virtual collaboration in international research teams to contribute towards sustainability goals. Previous research confirmed the environmental benefits of carbon savings from international virtual conferences. This paper adds the social and economic dimensions by using a combination of qualitative and quantitative methods to measure the constraints and benefits for personal development, economic costs, efficiency and team learning of holding international virtual conferences (VCs). Using the Sustainable and Healthy Food Systems (SHEFS) research programme as a case study, we analysed VC participant survey data to identify strengths, weaknesses, opportunities, and threats of VCs. We estimated ‘saved’ GHG emissions, costs, and time, of using VCs as an alternative for a planned in-person meeting in Chennai, India. Hosting VCs reduced North–South, gender, and researcher inclusivity concerns, financial and travelling time costs, and substantially reduced emissions. For one international meeting with 107 participants, changing to a virtual format reduced the per capita GHG emissions to half the annual global average, and avoided 60% of travel costs. The benefits of VCs outweighed weaknesses. The main strengths were inclusivity and access, with 20% more early/mid-career researchers attending. This study identified opportunities for international research partnerships to mitigate their carbon footprint (environmental benefit) and enhance inclusivity of early/mid-career, women and Global South participants (social benefit), whilst continuing to deliver effective collaborative research meetings (economic benefit). In doing so, we present a holistic view of sustainability opportunities for virtual collaboration.
Modeling of Combined Lead Fast Reactor and Concentrating Solar Power Supercritical Carbon Dioxide Cycles to Demonstrate Feasibility, Efficiency Gains, and Cost Reductions
Authors: White Brian T. , Wagner Michael J. , Neises Ty , Stansbury Cory , Lindley Ben
Published: November 2021

Solar power has innate issues with weather, grid demand and time of day, which can be mitigated through use of thermal energy storage for concentrating solar power (CSP). Nuclear reactors, including lead-cooled fast reactors (LFRs), can adjust power output according to demand; but with high fixed costs and low operating costs, there may not be sufficient economic incentive to make this worthwhile. We investigate potential synergies through coupling CSP and LFR together in a single supercritical CO2 Brayton cycle and/or using the same thermal energy storage. Combining these cycles allows for the LFR to thermally charge the salt storage in the CSP cycle during low-demand periods to be dispatched when grid demand increases. The LFR/CSP coupling into one cycle is modeled to find the preferred location of the LFR heat exchanger, CSP heat exchanger, sCO2-to-salt heat exchanger (C2S), turbines, and recuperators within the supercritical CO2 Brayton cycle. Three cycle configurations have been studied: two-cycle configuration, which uses CSP and LFR heat for dedicated turbocompressors, has the highest efficiencies but with less component synergies; a combined cycle with CSP and LFR heat sources in parallel is the simplest with the lowest efficiencies; and a combined cycle with separate high-temperature recuperators for both the CSP and LFR is a compromise between efficiency and component synergies. Additionally, four thermal energy storage charging techniques are studied: the turbine positioned before C2S, requiring a high LFR outlet temperature for viability; the turbine after the C2S, reducing turbine inlet temperature and therefore power; the turbine parallel to the C2S producing moderate efficiency; and a dedicated circulator loop. While all configurations have pros and cons, use of a single cycle offers component synergies with limited efficiency penalty. Using a turbine in parallel with the C2S heat exchanger is feasible but results in a low charging efficiency, while a dedicated circulator loop offers flexibility and near-perfect heat storage efficiency but increasing cost with additional cycle components.
Contribution of Electrolysis within an Integrated System for a Poultry Slaughterhouse Wastewater Treatment
Authors: Meiramkulova Kulyash , Mkilima Timoth , Kydyrbekova Aliya , Nikitin Yevgeniy , Zandybay Amanbek , Khussainov Mansur , Uryumtseva Tatyana
Published: November 2021

Treatment of poultry slaughterhouse wastewater before disposal or reuse is an essential part of human health and environmental protection in general. This study aimed to investigate the influence of the pre-treatment system based on electrolysis technology within an integrated lab-scale treatment plant in the removal of contaminants from poultry slaughterhouse wastewater. Several treatment units (averaging tank, feather catcher, fat catcher, and coarse mechanical filter) were connected in series before the electrolysis chamber. While in general, the entire integrated system also included some other units such as ultra-filtration, reverse osmosis, and the ultraviolet lamp connected in series. From the analysis results, it was observed that the pre-treatment phase with electrolysis had a significant influence on the general performance of the treatment plant. The pre-treatment contributed to about 33.5% to 100% in the general contaminants’ removal efficiency. The highest contribution was observed from the total chlorine (100%), nitrate (98.2%), as well as BOD (95.3%). The lowest contribution was observed from the nitrite removal, with 33.5%. This study revealed further that the integration of electrolysis technology in a wastewater treatment system has a significant potential for developing an effective wastewater treatment plant.
Investigation of Potential of Solar Photovoltaic System as an Alternative Electric Supply on the Tropical Island of Mantanani Sabah Malaysia
Authors: Abd Hamid Ag Sufiyan , Makmud Mohamad Zul Hilmey , Abd Rahman Abu Bakar , Jamain Zuhair , Ibrahim Adnan
Published: November 2021

This article reports on the potential use of a photovoltaic solar system on Mantanani Island. This island has its attractions in terms of flora and fauna as well as the uniqueness of its local community. The electricity supply status of the island is minimal, and the local electricity provider only provides two units of electrical generator that only supply energy from 18:00 to 06:00. This study is motivated by the hypothesis that if the target resident can obtain a better electricity supply, they can generate higher income and improve their standard of living. This study aims to identify the status of solar energy sources, estimate the basic electrical load, and conduct a techno-economic analysis of homestay enterprises of residents. Geostationary satellite data on solar energy resources were gathered and analyzed using Solargis. The electricity load was calculated based on the daily routine activities of the residents and usage of primary electrical appliances. Techno-economic analysis was done by determining the key parameters to calculate the return on investment and payback period. The results showed that Mantanani Island had great potential for implementing a photovoltaic system, by the estimated value of the total annual solar energy and peak sun hour of 1.447 MWh/m2/y and 4.05 h, respectively. The variation in total monthly solar energy was minimal, with a range of only 61.3 Wh/m2. The calculated electrical load was 7.454 kWh/d. The technoeconomic assessment showed that the return on investment was MYR 3600 per year. However, the value of the payback period varies according to the value of the cost of capital spent. Regarding the cost of capital of this study, the shortest and longest payback periods achievable were 2.78 and 13.89 years, respectively. This calculation is in line with a photovoltaic system with a capacity of 2.2 kWp.
A Stated Preference Survey for Evaluating Young Pedestrians’ Preferences on Walkways
Authors: Bellizzi Maria Grazia , Forciniti Carmen , Mazzulla Gabriella
Published: November 2021

For promoting pedestrian mobility, the quality levels of pedestrian paths should be increased. Many researchers suggest methodologies for determining the pedestrian level of service. Among these, some studies consider both paths’ physical characteristics and users’ perception about the walkways. Investigating users’ perceptions represents a good strategy for implementing interventions aimed at increasing the quality of service. The aim is recording pedestrians’ perceptions about the characteristics of the path and detecting the choices they would make in a hypothetical scenario. This work proposes the design of a Stated Preferences survey and the analysis of the preliminary results. A questionnaire was sent out to a sample of 240 pedestrians, prevalently students, about a walkway located in the University Campus of Rende (Italy). The collected data were analyzed by means of a discrete choice model for assessing the importance assigned by pedestrians to each aspect included in the analysis. The results showed that the environment can be considered as the most important aspect for young pedestrians, while the width of the path is not significant. The outcomes also highlighted the aspects it is necessary to change in order to make pedestrian paths increasingly attractive and to encourage users towards active mobility.
Cost and Potential Savings of Electronic Consultation and Its Relationship with Reduction in Atmospheric Pollution
Authors: Rey Aldana Daniel , Reyes Santias Francisco , Mazón Ramos Pilar , Portela Romero Manuel , Cinza Sanjurjo Sergio , Álvarez Álvarez Belén , Agra Bermejo Rosa , Gude Sampedro Francisco , González-Juanatey José R.
Published: November 2021

Background: Telemedicine has been incorporated into daily clinical practice. The purpose of this paper is to evaluate the economic impact of electronic consultation as a means of referring patients between Primary Care (PC) services and the referral Cardiology Service (CS) of a tertiary hospital, in particular, the cost of reduced air pollution. Methods: The direct and indirect costs associated with all the interconsultations between PC and a CS of a tertiary hospital were analyzed under a universal single act model versus a prior e-consultation model that selected patients who would later attend the single-act consultation. The cost of pollution from private motor vehicle travel by road has been analyzed with a Cobb–Douglas cost function. Results: The total cost per patient, including the costs associated with death, represented a saving in the model with e-consultation of 25.6%. The economic value for the reduction of contamination would be EUR 12.86 per patient. Conclusions: The introduction of e-consultation in the outpatient management of patients referred from PC to a CS, helps to reduce direct and indirect costs for the patient and the Health Care System. The cost of pollution associated with the trips explains the total cost to a greater extent, except for the first face-to-face consultation.
Circular Economy Business Models: The Complementarities with Sharing Economy and Eco-Innovations Investments
Authors: Aldieri Luigi , Brahmi Mohsen , Bruno Bruna , Vinci Concetto Paolo
Published: November 2021

The transition from the linear economy to the circular economy exhibits some criticalities that can be solved through the identification of factors pushing and pulling the transition itself. By adopting a public good perspective in analysing the main features of the circular business models, this study underlines how the sharing economy business models are well integrated and complementary to some features of the circular economy, representing a strong pulling factor. Other loops of the circular economy need an explicit push factor, individuated in a strong impulse to eco-efficiency, to be reached through consistent incentives to invest in R&D for eco-innovations. Seven case studies are investigated in their aims, feasibility and implementation to support the interpretative framework.