bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling of Recommendation System Based on Emotional Information and Collaborative Filtering
Authors: Kim Tae-Yeun , Ko Hoon , Kim Sung-Hwan , Kim Ho-Da
Published: March 2021

Emotion information represents a user’s current emotional state and can be used in a variety of applications, such as cultural content services that recommend music according to user emotional states and user emotion monitoring. To increase user satisfaction, recommendation methods must understand and reflect user characteristics and circumstances, such as individual preferences and emotions. However, most recommendation methods do not reflect such characteristics accurately and are unable to increase user satisfaction. In this paper, six human emotions (neutral, happy, sad, angry, surprised, and bored) are broadly defined to consider user speech emotion information and recommend matching content. The “genetic algorithms as a feature selection method” (GAFS) algorithm was used to classify normalized speech according to speech emotion information. We used a support vector machine (SVM) algorithm and selected an optimal kernel function for recognizing the six target emotions. Performance evaluation results for each kernel function revealed that the radial basis function (RBF) kernel function yielded the highest emotion recognition accuracy of 86.98%. Additionally, content data (images and music) were classified based on emotion information using factor analysis, correspondence analysis, and Euclidean distance. Finally, speech information that was classified based on emotions and emotion information that was recognized through a collaborative filtering technique were used to predict user emotional preferences and recommend content that matched user emotions in a mobile application.
Integrating a Low-Cost Electronic Nose and Machine Learning Modelling to Assess Coffee Aroma Profile and Intensity
Authors: Gonzalez Viejo Claudia , Tongson Eden , Fuentes Sigfredo
Published: March 2021

Aroma is one of the main attributes that consumers consider when appreciating and selecting a coffee; hence it is considered an important quality trait. However, the most common methods to assess aroma are based on expensive equipment or human senses through sensory evaluation, which is time-consuming and requires highly trained assessors to avoid subjectivity. Therefore, this study aimed to estimate the coffee intensity and aromas using a low-cost and portable electronic nose (e-nose) and machine learning modeling. For this purpose, triplicates of nine commercial coffee samples with different intensity levels were used for this study. Two machine learning models were developed based on artificial neural networks using the data from the e-nose as inputs to (i) classify the samples into low, medium, and high-intensity (Model 1) and (ii) to predict the relative abundance of 45 different aromas (Model 2). Results showed that it is possible to estimate the intensity of coffees with high accuracy (98%; Model 1), as well as to predict the specific aromas obtaining a high correlation coefficient (R = 0.99), and no under- or over-fitting of the models were detected. The proposed contactless, nondestructive, rapid, reliable, and low-cost method showed to be effective in evaluating volatile compounds in coffee, which is a potential technique to be applied within all stages of the production process to detect any undesirable characteristics on–time and ensure high-quality products.
Toward Smart Traceability for Digital Sensors and the Industrial Internet of Things
Authors: Eichstädt Sascha , Gruber Maximilian , Vedurmudi Anupam Prasad , Seeger Benedikt , Bruns Thomas , Kok Gertjan
Published: March 2021

The Internet of Things (IoT) is characterized by a large number of interconnected devices or assets. Measurement instruments in the IoT are typically digital in the sense that their indications are available only as digital output. Moreover, a growing number of IoT sensors contain a built-in pre-processing system, e.g., for compensating unwanted effects. This paper considers the application of metrological principles to such so-called “smart sensors” in the IoT. It addresses the calibration of digital sensors, mathematical and semantic approaches, the communication of data quality and the meaning of traceability for the IoT in general.
Spatiotemporal Mobility Based Trajectory Privacy-Preserving Algorithm in Location-Based Services
Authors: Xu Zhiping , Zhang Jing , Tsai Pei-wei , Lin Liwei , Zhuo Chao
Published: March 2021

Recent years have seen the wide application of Location-Based Services (LBSs) in our daily life. Although users can enjoy many conveniences from the LBSs, they may lose their trajectory privacy when their location data are collected. Therefore, it is urgent to protect the user’s trajectory privacy while providing high quality services. Trajectory k-anonymity is one of the most important technologies to protect the user’s trajectory privacy. However, the user’s attributes are rarely considered when constructing the k-anonymity set. It results in that the user’s trajectories are especially vulnerable. To solve the problem, in this paper, a Spatiotemporal Mobility (SM) measurement is defined for calculating the relationship between the user’s attributes and the anonymity set. Furthermore, a trajectory graph is designed to model the relationship between trajectories. Based on the user’s attributes and the trajectory graph, the SM based trajectory privacy-preserving algorithm (MTPPA) is proposed. The optimal k-anonymity set is obtained by the simulated annealing algorithm. The experimental results show that the privacy disclosure probability of the anonymity set obtained by MTPPA is about 40% lower than those obtained by the existing algorithms while the same quality of services can be provided.
Simultaneous Power Feedback and Maximum Efficiency Point Tracking for Miniaturized RF Wireless Power Transfer Systems
Authors: Stoecklin Sebastian , Yousaf Adnan , Gidion Gunnar , Reindl Leonhard , Rupitsch Stefan J.
Published: March 2021

Near-field interfaces with miniaturized coil systems and low output power levels, such as applied in biomedical sensor systems, can suffer from severe efficiency degradation due to dynamic impedance mismatches, reducing battery life of the power transmitter unit and requiring to increase the level of electromagnetic emission. Moreover, the stability of weakly-coupled power transfer systems is generally limited by transient changes in coil alignment and load power consumption. Hence, a central research question in the domain of wireless power transfer is how to realize an adaptive impedance matching system under the constraints of a simultaneous power feedback to increase the system’s efficiency and stability, while maintaining circuit characteristics such as small size, low power consumption and fast reaction times. This paper presents a novel approach based on a two-stage control loop implemented in the primary-side reader unit, which uses a digital PI controller to maintain the rectifier output voltage for power feedback and an on-top perturb-and-observe controller configuring the setpoint of the voltage controller to maximize efficiency. The paper mathematically analyzes the AC and DC transfer characteristics of a resonant inductive link to design the reactive AC matching network, the digital voltage controller and ultimately the DC-domain impedance matching algorithm. It was found that static reactive L networks result in suitable efficiency levels for coils with sufficiently high quality factor even without adaptive tuning of operational frequency or reactive components. Furthermore, the regulated output voltage of the rectifier is a direct measure of the DC load impedance when using a regular DC/DC converter to supply the load circuits, so that this quantity can be tuned to maximize efficiency. A prototype implementation demonstrates the algorithms in a 40.68 MHz inductive link with load power levels from 10 to 100 mW and tuning time constants of 300 ms, while allowing for a simplified receiver with a footprint smaller than 200 mm2 and a self-consumption below 1 mW. Hence, the presented concepts enable adaptive impedance matching with favorable characteristics for low-energy sensor systems, i.e., minimized footprint, power level and reaction time.
An Experimental Study on the Validity and Reliability of a Smartphone Application to Acquire Temporal Variables during the Single Sit-to-Stand Test with Older Adults
Authors: Marques Diogo Luís , Neiva Henrique Pereira , Pires Ivan Miguel , Zdravevski Eftim , Mihajlov Martin , Garcia Nuno M. , Ruiz-Cárdenas Juan Diego , Marinho Daniel Almeida , Marques Mário Cardoso
Published: March 2021

Smartphone sensors have often been proposed as pervasive measurement systems to assess mobility in older adults due to their ease of use and low-cost. This study analyzes a smartphone-based application’s validity and reliability to quantify temporal variables during the single sit-to-stand test with institutionalized older adults. Forty older adults (20 women and 20 men; 78.9 ± 8.6 years) volunteered to participate in this study. All participants performed the single sit-to-stand test. Each sit-to-stand repetition was performed after an acoustic signal was emitted by the smartphone app. All data were acquired simultaneously with a smartphone and a digital video camera. The measured temporal variables were stand-up time and total time. The relative reliability and systematic bias inter-device were assessed using the intraclass correlation coefficient (ICC) and Bland-Altman plots. In contrast, absolute reliability was assessed using the standard error of measurement and coefficient of variation (CV). Inter-device concurrent validity was assessed through correlation analysis. The absolute percent error (APE) and the accuracy were also calculated. The results showed excellent reliability (ICC = 0.92–0.97; CV = 1.85–3.03) and very strong relationships inter-devices for the stand-up time (r = 0.94) and the total time (r = 0.98). The APE was lower than 6%, and the accuracy was higher than 94%. Based on our data, the findings suggest that the smartphone application is valid and reliable to collect the stand-up time and total time during the single sit-to-stand test with older adults.
Adsorption Characteristics of Phosphate Ions by Pristine, CaCl2 and FeCl3-Activated Biochars Originated from Tangerine Peels
Authors: Son Changgil , An Wonyeol , Lee Geonhee , Jeong Inho , Lee Yong-Gu , Chon Kangmin
Published: March 2021

This study has evaluated the removal efficiencies of phosphate ions (PO43−) using pristine (TB) and chemical-activated tangerine peel biochars. The adsorption kinetics and isotherm presented that the enhanced physicochemical properties of TB surface through the chemical activation with CaCl2 (CTB) and FeCl3 (FTB) were helpful in the adsorption capacities of PO43− (equilibrium adsorption capacity: FTB (1.655 mg g−1) > CTB (0.354 mg g−1) > TB (0.104 mg g−1)). The adsorption kinetics results revealed that PO43− removal by TB, CTB, and FTB was well fitted with the pseudo-second-order model (R2 = 0.999) than the pseudo-first-order model (R2 ≥ 0.929). The adsorption isotherm models showed that the Freundlich equation was suitable for PO43− removal by TB (R2 = 0.975) and CTB (R2 = 0.955). In contrast, the Langmuir equation was proper for PO43− removal by FTB (R2 = 0.987). The PO43− removal efficiency of CTB and FTB decreased with the ionic strength increased due to the compression of the electrical double layer on the CTB and FTB surfaces. Besides, the PO43− adsorptions by TB, CTB, and FTB were spontaneous endothermic reactions. These findings demonstrated FTB was the most promising method for removing PO43− in waters.
Concept Drift Adaptation Techniques in Distributed Environment for Real-World Data Streams
Authors: Mehmood Hassan , Kostakos Panos , Cortes Marta , Anagnostopoulos Theodoros , Pirttikangas Susanna , Gilman Ekaterina
Published: March 2021

Real-world data streams pose a unique challenge to the implementation of machine learning (ML) models and data analysis. A notable problem that has been introduced by the growth of Internet of Things (IoT) deployments across the smart city ecosystem is that the statistical properties of data streams can change over time, resulting in poor prediction performance and ineffective decisions. While concept drift detection methods aim to patch this problem, emerging communication and sensing technologies are generating a massive amount of data, requiring distributed environments to perform computation tasks across smart city administrative domains. In this article, we implement and test a number of state-of-the-art active concept drift detection algorithms for time series analysis within a distributed environment. We use real-world data streams and provide critical analysis of results retrieved. The challenges of implementing concept drift adaptation algorithms, along with their applications in smart cities, are also discussed.
Erratum: Villegas-Ch, W., et al. A Business Intelligence Framework for Analyzing Educational Data. Sustainability 2020, 12, 5745
Authors: Villegas-Ch William , Palacios-Pacheco Xavier , Luján-Mora Sergio
Published: March 2021

The authors would like to make the following corrections to the published paper [...]
Influence of the Adaptation of Balconies to Loggias on the Lighting Climate inside an Apartment Building under Cloudy Sky
Authors: Dolníková Erika , Katunský Dušan , Miňová Zuzana , Dolník Bystrík
Published: March 2021

The reconstruction of balconies and loggias is a key element of the renovation of apartment buildings. Artificial light will never replace natural light. Every day, one must make full use of the potential of daylight and enjoy an advantage—free-of-charge natural light entering the interior. When renovating balconies, people often change the character of this protruding structure from a façade to a loggia. This is also the subject of this paper. For the evaluation of the daylighting conditions prevailing in residential building, the Daylight Factor (DF) was considered as the parameter for indicating the quantity of admitted daylight. The DF values and illuminance—CIE overcast sky were calculated using DIALux 9.1 software. The aim of the paper is to compare two variants of the level of daylight in the rooms of the residential building. One option to bring in even more natural light than a window is a variant with balconies. Loggias are satisfactory in terms of static and thermal technology, but daylight conditions are deteriorating. The article provides an insight into the solution of the renovation of balconies and loggias in a specific apartment building. The result shows their influence on changes in the conditions of natural daylight in the interior of two selected rooms.
Bikeway Provision and Bicycle Commuting: City-Level Empirical Findings from the US
Authors: Yang Qiyao , Cai Jun , Feng Tao , Liu Zhengying , Timmermans Harry
Published: March 2021

The growing worldwide awareness of the significant benefits of bicycling as an urban transport mode has aroused great interest in exploring the role that bikeways play in promoting utilitarian bicycling. However, few studies assess the contribution of citywide bikeway provision with the inclusion of all facility types and differentiation of facility utilities. This study provides new evidence by evaluating the collective effects of bikeway kilometers per square kilometer, bikeway kilometers per 10,000 population, and low-stress bikeway proportion on the bicycle-commuting share in 28 US cities between 2005 and 2017. Using linear panel regression models, we found that the expansion of citywide bikeway infrastructure positively influences the share of commute trips by bicycle. The results also indicated that the proportion of low-stress bikeways has a stronger impact on the bicycling-to-work share than bikeway kilometers per 10,000 population, while the impact of bikeway kilometers per square kilometer ranks last. These findings may aid policy makers and planners in formulating sound city-level bikeway policies favoring sustainable urban transportation scenarios.
Education for Sustainable Development in Primary Education Textbooks—An Educational Approach from Statistical and Probabilistic Literacy
Authors: Vásquez Claudia , García-Alonso Israel , Seckel María José , Alsina Ángel
Published: March 2021

Based on the Stochastic Education Approach to Sustainability Education, the statistical and probability tasks for sustainability education in a collection of primary school mathematics textbooks in Chile (6–14 years old) were analyzed. A content analysis was carried out based on four categories: contexts for sustainability, levels of articulation, cognitive demand, and authenticity. The results show that: (1) there is a low presence of contexts for sustainability; (2) the tasks are not articulated to develop any of the Sustainable Development Goals; (3) there is a clear predominance of memorization tasks; (4) the teaching of statistics and probability in textbooks is not aligned with Education for Sustainable Development (ESD). These results are the roadmap for a new educational approach that allows the design of statistical and probability tasks to educate for sustainability in Primary Education. This new approach should promote that, through the progressive development of statistical and probabilistic literacy, students understand the different problems (social, economic and environmental) that we are faced with, as well as the measures that must be adopted to transform and act for a more sustainable world.
Unbalanced Development Characteristics and Driving Mechanisms of Regional Urban Spatial Form: A Case Study of Jiangsu Province, China
Authors: Xiong Guoping , Cao Xin , Hamm Nicholas A. S. , Lin Tao , Zhang Guoqin , Chen Binghong
Published: March 2021

Unbalanced regional development is widespread, and the imbalance of regional development in developing countries with rapid urbanization is increasingly apparent. This threatens the sustainable development of the region. Promoting the coordinated development of the region has become a hot spot of scientific research and a major practical need. Taking 99 counties of Jiangsu Province China, a typical coastal plain region, as the basic research unit, this paper explores the unbalanced development characteristics of the regional urban spatial form using three indicators: urban spatial expansion size, development intensity, and distribution aggregation degree. Then, their driving mechanisms were evaluated using spatial autocorrelation analysis, Pearson correlation analysis, linear regression, and geographically weighted regression. Our results found that the areas with larger urban spatial expansion size and development intensity were mainly concentrated in southern Jiangsu, where there was a positive spatial correlation between them. We found no agglomeration phenomenon in urban spatial distribution aggregation degree. From the perspective of driving factors: economics was the main driving factor of urban spatial expansion size; urbanization level and urbanization quality were the main driving factors of urban spatial development intensity. Natural landform and urbanization level are the main driving factors of urban spatial distribution aggregation degree. Finally, we discussed the optimization strategy of regional coordinated development. The quality of urbanization development and regional integration should be promoted in Southern Jiangsu. The level of urbanization development should be improved relying on rapid transportation to develop along the axis in central Jiangsu. The economic size should be increased, focusing on the expansion of the urban agglomeration in northern Jiangsu. This study will enrich the perspective of research on the characteristics and mechanisms of regional urban spatial imbalance, and helps to optimize and regulate the imbalance of regional urban development from multiple perspectives.
Educating Language Minority Students in South Korea: Multilingual Sustainability and Linguistic Human Rights
Authors: Choi Lee Jin
Published: March 2021

In the context of globalization, the landscape of language in Korea has changed dramatically in the last three decades because of the influx of marriage migrants and foreign workers. The growing number of immigrant and international marriages has led to the emergence of new linguistic minorities in Korea who have multicultural and multilingual backgrounds, and they challenge Korea’s long-lasting tradition of linguistic homogeneity and purity. Language related education for this newly emerging group of language minority students, whose number has increased dramatically since the late-1990s, has become a salient issue. This paper critically analyzes the current education policies and programs designed for the newly emerging group of language minority students, and examines the prospects for sustainable development of these students in Korea. In particular, it focuses on the underlying ideology of linguistic nationalism and assimilationist integration regime embedded in various education policy initiatives and reforms, which require language minority students to forgo their multilingual background and forcibly embrace linguistic homogeneity. The paper elaborates on alternative educational programs that could enable language minority students to achieve sustainable development and progress.
Estimation of Grassland Carrying Capacity by Applying High Spatiotemporal Remote Sensing Techniques in Zhenglan Banner, Inner Mongolia, China
Authors: Qin Pengyao , Sun Bin , Li Zengyuan , Gao Zhihai , Li Yifu , Yan Ziyu , Gao Ting
Published: March 2021

Overgrazing directly leads to grassland degradation, which is a serious constraint to the sustainable development of animal husbandry. In drylands, grassland biomass is highly heterogeneous in space and time. It is difficult to achieve sustainable utilization of grassland resources by focusing only on the average annual carrying capacity assessment obtained from grass yield. Here, we proposed a novel approach for assessing grassland carrying capacity, taking Zhenglan Banner (County) in Inner Mongolia as the study area. First, monthly grass yield at 30 m spatial resolution was estimated, derived from Carnegie–Ames–Stanford Approach (CASA) model and spatial and temporal adaptive reflectance fusion model (STARFM). Then, based on the degree of sand mobility and degradation condition of typical steppe, the utilization patterns for sandy land and typical steppe in different grazing seasons were developed separately to obtain available grass yield. Finally, the carrying capacity at the Gacha (Village)-scale was estimated and the current livestock carrying status was evaluated to facilitate the grassland refined management. In Zhenglan Banner, the carrying capacity was 237.46 thousand cattle-units in summer. The grassland resources are being overgrazed, with an overload rate of 19.32%. At Gacha-scale, the maximum reasonable stock density was ranged from 0.06 cattle-unit/ha to 0.42 cattle-unit/ha. Fifty-one Gachas exhibited livestock overload. This study is expected to provide technical support and scientific reference data for ecological conservation and grassland management in the study area, as well as in dryland pastoral areas of northern China.
GIS-Based Multi-Criteria Approach for Flood Vulnerability Assessment and Mapping in District Shangla: Khyber Pakhtunkhwa, Pakistan
Authors: Hussain Muhammad , Tayyab Muhammad , Zhang Jiquan , Shah Ashfaq Ahmad , Ullah Kashif , Mehmood Ummer , Al-Shaibah Bazel
Published: March 2021

Floods are considered one of the world’s most overwhelming hydro meteorological disasters, which cause tremendous environmental and socioeconomic damages in a developing country such as Pakistan. In this study, we use a Geographic information system (GIS)-based multi-criteria approach to access detailed flood vulnerability in the District Shangla by incorporating the physical, socioeconomic vulnerabilities, and coping capacity. In the first step, 21 essential criteria were chosen under three vulnerability components. To support the analytical hierarchy process (AHP), the used criteria were transformed, weighted, and standardized into spatial thematic layers. Then a weighted overlay technique was used to build an individual map of vulnerability components. Finally, the integrated vulnerability map has been generated from the individual maps and spatial dimensions of vulnerability levels have been identified successfully. The results demonstrated that 25% of the western-middle area to the northern part of the study area comprises high to very high vulnerability because of the proximity to waterways, high precipitation, elevation, and other socioeconomic factors. Although, by integrating the coping capacity, the western-central and northern parts of the study area comprising from high to very high vulnerability. The coping capacities of the central and eastern areas are higher as compared to the northern and southern parts of the study area because of the numerous flood shelters and health complexes. A qualitative approach from the field validated the results of this study. This study’s outcomes would help disaster managers, decision makers, and local administration to quantify the spatial vulnerability of flood and establish successful mitigation plans and strategies for flood risk assessment in the study area.
Toward a Business Resilience Framework for Startups
Authors: Aldianto Leo , Anggadwita Grisna , Permatasari Anggraeni , Mirzanti Isti Raafaldini , Williamson Ian O.
Published: March 2021

Covid-19 has had a significant impact on the disruption of the global economic sector, including for startup businesses. This encourages entrepreneurs to carry out a continuous innovation process to become more ambidextrous and continue to innovate in an effort to futureproof their business. The paper aims to provide a business resilience framework by exploring capability (innovation ambidexterity, dynamic capability, and technology capability), behavior (agile leadership), and knowledge (knowledge stock) in startup businesses. This study uses a literature review synthesis to gain a greater understanding of startup resilience and its implementation. This study also uses a case study approach in building a framework by obtaining data from semi-structured interviews with three startups owners in Indonesia. This preliminary research has identified four propositions that will be used to develop questionnaires and data collection instruments. Thus, this study provides new insights on how startups can overcome contradictory pressures for business resilience in anticipating, dealing with, and emerging from business turbulence due to the Covid-19 pandemic by considering the factors proposed in this study. The implications and recommendations of this study are also discussed in detail.
Airport Self-Service Technologies, Passenger Self-Concept, and Behavior: An Attributional View
Authors: Antwi Collins Opoku , Ren Jun , Owusu-Ansah Wilberforce , Mensah Henry Kofi , Aboagye Michael Osei
Published: March 2021

Airports are rapidly deploying self-service technologies (SSTs) as a strategy to improve passenger experience by eliminating operational inefficiencies. This places some responsibility on the passengers to shape their experience. As service coproducers, passengers’ self-concepts and attributional tendencies are deemed instrumental in their consumption processes. Accordingly, drawing on the tenets of attribution theory, this study explores the interaction effects of passenger self-concept (am I competent at this?) and causal inference (who is responsible for SSTs’ performance?) on SST performance and satisfaction with airport SST link. Additionally, the probable spillover effect of passenger satisfaction with SST performance on satisfaction with airport and on electronic word-of-mouth (eWOM) is examined. The sample for the study consisted of 547 passengers departing from an airport in Shanghai, China. Structural equation modeling was utilized to test the study’s theoretical model. The findings indicate that airport SSTs’ performance influences passenger satisfaction with airport SSTs. The multiplicative effect of passenger self-concept (am I competent at this?) in the moderating role of passenger causal inference (who is responsible for SSTs’ performance?) in SST performance and satisfaction with SST link is demonstrated. Furthermore, the spillover effect of satisfaction with SST performance on satisfaction with airport and on electronic word-of-mouth (eWOM) is illustrated. Given the current need for contactlessness, the findings proffer critical managerial and research insights.
Citizens’ Preference and Perception of Street Trees of Main Boulevards in Busan, South Korea
Authors: Kim Sang Seup , Lee Jae-Song , Lee Dong Hak , Choi Yeol
Published: March 2021

Street tree species are selected mainly based on functional utility. This selection practice results in effective management. If the value of street trees as perceived by citizens is added to the existing selection criteria, satisfaction will be improved in addition to effective management. This study attempted to find a way to reflect citizens’ values in street tree selection criteria through empirical analysis. A preference survey and the visual and affective evaluation of 12 street tree species in Busan Metropolitan City were conducted. With the collected data, principal component analysis (PCA) was performed to draw common factors of evaluation. Additionally, multidimensional scaling (MDS) was used to group tree species that were considered similar. The study results revealed that citizens prefer species that provide visually positive feelings and intimacy. Some species appropriate for urban greenspaces are not preferred for street trees. Although a low level of nuisance is an important aspect of street trees, citizens do not prefer species that are excessively free from nuisance. When selecting species with a polarized preference, dealing with undesired aspects is required. It is necessary to acknowledge the different preferences of citizens and street tree authorities; reflecting citizens’ values can provide more citizen-friendly street plans.
The Role of Occupants in Buildings’ Energy Performance Gap: Myth or Reality?
Authors: Mahdavi Ardeshir , Berger Christiane , Amin Hadeer , Ampatzi Eleni , Andersen Rune Korsholm , Azar Elie , Barthelmes Verena M. , Favero Matteo , Hahn Jakob , Khovalyg Dolaana , Knudsen Henrik N. , Luna-Navarro Alessandra , Roetzel Astrid , Sangogboye Fisayo C. , Schweiker Marcel , Taheri Mahnameh , Teli Despoina , Touchie Marianne , Verbruggen Silke
Published: March 2021

Buildings’ expected (projected, simulated) energy use frequently does not match actual observations. This is commonly referred to as the energy performance gap. As such, many factors can contribute to the disagreement between expectations and observations. These include, for instance, uncertainty about buildings’ geometry, construction, systems, and weather conditions. However, the role of occupants in the energy performance gap has recently attracted much attention. It has even been suggested that occupants are the main cause of the energy performance gap. This, in turn, has led to suggestions that better models of occupant behavior can reduce the energy performance gap. The present effort aims at the review and evaluation of the evidence for such claims. To this end, a systematic literature search was conducted and relevant publications were identified and reviewed in detail. The review entailed the categorization of the studies according to the scope and strength of the evidence for occupants’ role in the energy performance gap. Moreover, deployed calculation and monitoring methods, normalization procedures, and reported causes and magnitudes of the energy performance gap were documented and evaluated. The results suggest that the role of occupants as significant or exclusive contributors to the energy performance gap is not sufficiently substantiated by evidence.
Assessment on Global Urban Photovoltaic Carrying Capacity and Adjustment of Photovoltaic Spatial Planning
Authors: Chen Siyuan , Zhang Yukun , Zheng Jie
Published: March 2021

To promote the effective combination of photovoltaic (PV) utilization and urban development, this study proposes that solar PV generation should be taken as an important resource and environmental carrying capacity factor, which is defined as “Photovoltaic Carrying Capacity (PVCC)”, to be integrated into future urban planning. According to the PVCC assessment on global cities, the sensitivity of PVCC to different influence factors is analyzed and the benefits of different optimization strategies on PVCC are also discussed. Additionally, in an equilibrium analysis of PVCC distribution in six sample countries, we discuss both the causes and impact of their distribution gap. That analysis shows that the average PVCC in global urban areas can reach 23.13%, which approaches the anticipated needs of PV development in cities by 2050.Though different optimization strategies may be feasible to promote urban PVCC, they might only make significant changes in medium or large cities. When considering the high-efficient utility of local energy, dispersed layout of cities and population is necessary to implement PV spatial planning. According to the assessment and analysis results, the adjustment suggestions of PV spatial planning in each sample country are also discussed. Finally, it is pointed out that the proactive PV spatial may be of great significance to achieve higher solar energy supply and PVCC will be an available cognition in guiding this planning in the future.
Assessment of Acidic Biochar on the Growth, Physiology and Nutrients Uptake of Maize (Zea mays L.) Seedlings under Salinity Stress
Authors: Soothar Mukesh Kumar , Mounkaila Hamani Abdoul Kader , Kumar Sootahar Mahendar , Sun Jingsheng , Yang Gao , Bhatti Saleem Maseeh , Traore Adama
Published: March 2021

The application of an acidic biochar can improve plant growth and soil properties in saline conditions. In this study, we investigated the effect of acidic biochar on plant growth and nutrients contents in saline soil. Seven treatments were arranged in a complete randomized design, including control (CK), 0, 30, and 45 g biochar added to a soil having 1% and 1.5% salts; these treatments were termed as B0S1, B30S1, B45S1 and B0S1.5, B30S1.5, B45S1.5 respectively. Experimental results showed that the plant height, leaves plant−1, leaf area, and shoot fresh and dry biomass, and root fresh and dry biomass were increased for the B45S1.5, respectively. Similarly, the highest total nitrogen (TN), total phosphorus (TP), total potassium (TK), and total sodium (Na) concentration in maize shoot were observed for B30S1, B0S1.5, CK, and B0S1.5, respectively. The highest concentrations of TN, TP, TK, and Na in root were obtained with the treatments B0S1, B0S1, B45S1, and B0S1, respectively. Soil pH, and EC decreased and nutrients concentration improved by the addition of acidic biochar. We conclude that the use of acidic biochar can be a potential source for the improvement of maize plant growth as well as mitigate the adverse effect of salt stress.
Free Trade, Environment, Agriculture, and Plurilateral Treaties: The Ambivalent Example of Mercosur, CETA, and the EU–Vietnam Free Trade Agreement
Authors: Heyl Katharine , Ekardt Felix , Roos Paula , Stubenrauch Jessica , Garske Beatrice
Published: March 2021

Transnational trade holds opportunities for prosperity and development if accompanied by a robust political and legal framework. Yet, where such a framework is missing, transnational trade is frequently associated with, among others, negative impacts on the environment. Applying a legal comparison, this article assesses if recent free trade agreements, i.e., the Mercosur Agreement, CETA and the EU–Vietnam Free Trade Agreement, negotiated by the European Union, have been underpinned with effective environmental standards so that they are in line with global environmental goals and avoid detrimental effects on climate and biodiversity. Besides that, we evaluate the extent to which these agreements at least enable and incentivise environmental pioneering policies in the trading Parties. In particular, we discuss the likely impacts of the agreements on the agricultural sector. The analysis finds that, while a few mandatory standards concerning, e.g., deforestation have been established, overall, the agreements lack a comprehensive legal framework to uphold/enhance environmental protection. Moreover, weak dispute settlement mechanisms to ensure compliance with sustainability measures limits their effectiveness. In addition, the provisions on regulatory cooperation and investor-state dispute settlement are likely to negatively affect the decision-making processes and (thus) discourage ecological pioneering policies in the trading Parties. Hence, there is a long way to go so that transnational trade is compatible with global environmental goals.
Impacts of Different Tillage Practices on Soil Water Infiltration for Sustainable Agriculture
Authors: Amami Roua , Ibrahimi Khaled , Sher Farooq , Milham Paul , Ghazouani Hiba , Chehaibi Sayed , Hussain Zahra , Iqbal Hafiz M. N.
Published: March 2021

Over the years, cultivation using sustainable tillage practices has gained significant importance, but the impact of tillage on soil water infiltration is still a concern for landowners due to the possible effects on crop yield. This study investigates the impact of different tillage managements on the infiltration rate of sandy clay loam soil under a semiarid environment. Field experiments were conducted in Chott Mariem Sousse, Tunisia. The tillage practices consisted of three treatments, including a tine cultivator (TC, 16 cm), moldboard plows (MP, 36 cm) and no-tillage (NT). Three infiltration models, Kostiakov, Philip and Horton, were applied to adjust the observed data and evaluate the infiltration characteristics of the studied soils. Comparison criteria, including the coefficient of determination (R2), along with the root mean square error (RMSE) and mean absolute error (MAE), were used to investigate the best-fit model. The results showed that moldboard plowing enhanced soil infiltration capacity relative to tine cultivation and no-tillage treatments. The mean saturated hydraulic conductivity was highest under MP, while it was lowest in NT, with 33.4% and 34.1% reduction compared to TC and MP, respectively. Based on the obtained results, Philip’s model showed better results with observed infiltration due to a higher R2 (0.981, 0.973 and 0.967), lower RMSE (3.36, 9.04 and 9.21) and lower MAE (1.46, 3.53 and 3.72) recorded, respectively, for NT, MP and TC. Horton’s model had a low regression coefficient between observed and predicted values. It was suggested that the Philip two-term model can adequately describe the infiltration process in the study area.
Communicating Sustainable Responsible Investments as Financial Advisors: Engaging Private Investors with Strategic Communication
Authors: Strauß Nadine
Published: March 2021

Although sustainable responsible investing (SRI) has increasingly become popular on the financial markets, the potential of raising capital from private investors for sustainable development has not been efficiently seized thus far. The lack of knowledge and training about SRI by financial advisors has often been identified as one of the main reasons for this investment gap. In order to accelerate the role of financial advisors as change agents for SRI, this study proposes several strategic communication interventions that advisors could employ in their advisory talks to raise more attention and engagement among private investors for SRI. The interventions proposed are oriented on the 5A model of SRI decision making by Herwig Pilaj and drawn from an interdisciplinary literature review on sustainability, communication, and attitudinal and behavioral change. The results provide a perspective and practical guide for financial advisors on how to effectively communicate SRI to private investors. Limitations and areas future research are discussed.
The Fast Lane of Internationalization of Latin American SMEs: A Location-Based Approach
Authors: Gil-Barragan Juan M. , López-Sánchez María José
Published: March 2021

This paper examines how the institutional environment (from a multi-level approach) and the moderating role of innovation networks and rural location explain which mechanism (institutional fostering or escapism) underlies the phenomenon of accelerated internationalization of small and medium-sized enterprises. By analyzing a dataset of 2289 firms from Argentina, Colombia, and Peru, the results suggest that the access of strategic resources and capabilities may either reinforce an institutional fostering or institutional escapism effect. The findings show that institutional fostering is associated with formal institutional voids and rural location, while institutional escapism is associated with local informal institutions, corporate sustainability certifications, and innovation networks. The institutional escapism effect is higher for firms that have social or environmental certifications. Implications for theory and practice are discussed.
Investigating the Conceptual Plurality of Empowerment through Community Concept Drawing: Case Studies from Senegal, Kenya, and Nepal
Authors: McOmber Chesney , McNamara Katharine , Ryley Therese d’Auria , McKune Sarah L.
Published: March 2021

Women’s empowerment is a driving concept in gender and development scholarship. This scholarship often engages quantitative indices of evaluation that are unable to account for culturally specific meaning and nuance that shape local understandings of empowerment. Recent efforts within the field of international development are attempting to create methodological mechanisms for capturing this nuance. This study employs one such method, Community Concept Drawing (CCD), in rural villages within Kenya, Senegal, and Nepal. Findings indicate significant differences between the field sites in the local conceptualization of empowerment. Cross-examination of site-specific data yields an understanding of how cultural norms and values shape local perceptions of empowerment in ways that are critical for research that engages gendered understandings. Furthermore, such analysis is critical to a more accurate understanding of the locally specific context of gender inequity.
Trust and Food Quality in the Valorisation of Geographical Indication Initiatives
Authors: Fernández-Zarza Mario , Amaya-Corchuelo Santiago , Belletti Giovanni , Aguilar-Criado Encarnación
Published: March 2021

This text delves into the elements on which the notion of quality of a product is built. We believe that, in addition to the standards that regulate a given quality seal, there are other elements that consumers link to the excellence that distinguishes them. In order to deepen these notions, we have chosen two localised agri-food systems (LAS), the first case corresponds to Iberian acorn-ham from Spain and the second to chorizo from Toluca in Mexico. We resorted to a mixed methodology by combining quantitative and qualitative techniques whereby a study of those food systems in two different socio-political contexts was approached. This methodology has allowed us to identify the importance of informal instruments, based not only on institutionalised certification, but on informal mechanisms such as trust and proximity between producers and consumers. The results of this study show how the food quality categories may be guided from various logics depending on the context, categories, and sort of stakeholders involved. Finally, we propose a categorisation of food quality based on the conceptual framework of trust. This categorisation allows the Geographical Indications (GIs) valorisation initiatives to visualise the elements on which they can be guided to work with the different qualities in their LAS.
Coupling and Coordination Level of the Population, Land, Economy, Ecology and Society in the Process of Urbanization: Measurement and Spatial Differentiation
Authors: Sun Xuesong , Zhang Zaisheng
Published: March 2021

Coupled and coordinated development is key to improving the level of regional urbanization and sustainable urban development and has important practical significance for solving a series of problems that arise in the process of rapid urbanization. First, from the perspective of system coupling, the development mechanism of the urbanization internal subsystems was deconstructed into five dimensions: population, land, economy, ecology and society. Second, based on data from 2017, the coupling coordination degree of urbanization in 13 cities in the Beijing–Tianjin–Hebei region was measured using the entropy method and a coupling coordination model. Finally, the spatial differences in the levels of subsystem development, comprehensive development and coupling and coordination development of urbanization were analyzed using spatial analysis tools. The results indicate that there are significant differences in the development indices of urbanization subsystems in the Beijing–Tianjin–Hebei region, among which the economic and social development indices have the greatest differences, and the ecological development index has the smallest. The comprehensive urbanization index shows a core–periphery distribution pattern, in which Beijing and Tianjin have the highest values, the cities in middle-southern Hebei Province generally have lower values, and the cities in northern Hebei Province have the lowest values. The coupling coordination level of urbanization in the Beijing–Tianjin–Tangshan region and Shijiazhuang, the capital of Hebei Province, is high, and the difference is small. In contrast, in middle-southern and northern Hebei Province, the coupling coordination degree of urbanization is generally low, and the difference is large. Based on the current situation of urbanization in the Beijing–Tianjin–Hebei region, policy suggestions are proposed from the perspectives of strengthening the market mechanism of urbanization, adjusting the regional industrial structure and attaching importance to the coupled and coordinated development of urbanization.