bluuebunny/crossref_metadata_2025 huggingface dataset:
Standard Analytical Methods, Sensory Evaluation, NIRS and Electronic Tongue for Sensing Taste Attributes of Different Melon Varieties
Authors: Németh Dzsenifer , Balázs Gábor , Daood Hussein G. , Kovács Zoltán , Bodor Zsanett , Zinia Zaukuu John-Lewis , Szentpéteri Viktor , Kókai Zoltán , Kappel Noémi
Published: November 2019

Grafting by vegetables is a practice with many benefits, but also with some unknown influences on the chemical composition of the fruits. Our goal was to assess the effects of grafting and storage on the extracted juice of four orange-fleshed Cantaloupe type (Celestial, Donatello, Centro, Jannet) melons and two green-fleshed Galia types (Aikido, London), using sensory profile analysis and analytical instruments: An electronic tongue (E-tongue) and near-infrared spectroscopy (NIRS). Both instruments are known for rapid qualitative and quantitative food analysis. Linear discriminant analysis (LDA) was used to classify melons according to their varieties and storage conditions. Partial least square regression (PLSR) was used to predict sensory and standard analytical parameters. Celestial variety had the highest intensity for sensory attributes in Cantaloupe variety. Both green and orange-fleshed melons were discriminated and predicted in LDA with high accuracies (100%) using the E-tongue and NIRS. Galia and Cantaloupe inter-varietal classification with the E-tongue was 89.9% and 82.33%, respectively. NIRS inter-varietal classification was 100% with Celestial variety being the most discriminated as with the sensory results. Both instruments, classified different storage conditions of melons (grafted and self-rooted) with high accuracies. PLSR showed high accuracy for some standard analytical parameters, where significant differences were found comparing different varieties in ANOVA.
Ambient Intelligence in the Living Room
Authors: Leonidis Asterios , Korozi Maria , Kouroumalis Vassilis , Poutouris Evangelos , Stefanidi Evropi , Arampatzis Dimitrios , Sykianaki Eirini , Anyfantis Nikolaos , Kalligiannakis Evangelos , Nicodemou Vassilis C. , Stefanidi Zinovia , Adamakis Emmanouil , Stivaktakis Nikos , Evdaimon Theodoros , Antona Margherita
Published: November 2019

The emergence of the Ambient Intelligence (AmI) paradigm and the proliferation of Internet of Things (IoT) devices and services unveiled new potentials for the domain of domestic living, where the line between “the computer” and the (intelligent) environment becomes altogether invisible. Particularly, the residents of a house can use the living room not only as a traditional social and individual space where many activities take place, but also as a smart ecosystem that (a) enhances leisure activities by providing a rich suite of entertainment applications, (b) implements a home control middleware, (c) acts as an intervention host that is able to display appropriate content when the users need help or support, (d) behaves as an intelligent agent that communicates with the users in a natural manner and assists them throughout their daily activities, (e) presents a notification hub that provides personalized alerts according to contextual information, and (f) becomes an intermediary communication center for the family. This paper (i) describes how the “Intelligent Living Room” realizes these newly emerged roles, (ii) presents the process that was followed in order to design the living room environment, (iii) introduces the hardware and software facilities that were developed in order to improve quality of life, and (iv) reports the findings of various evaluation experiments conducted to assess the overall User Experience (UX).
Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset
Authors: Kauba Christof , Prommegger Bernhard , Uhl Andreas
Published: November 2019

Vascular pattern based biometric recognition is gaining more and more attention, with a trend towards contactless acquisition. An important requirement for conducting research in vascular pattern recognition are available datasets. These datasets can be established using a suitable biometric capturing device. A sophisticated capturing device design is important for good image quality and, furthermore, at a decent recognition rate. We propose a novel contactless capturing device design, including technical details of its individual parts. Our capturing device is suitable for finger and hand vein image acquisition and is able to acquire palmar finger vein images using light transmission as well as palmar hand vein images using reflected light. An experimental evaluation using several well-established vein recognition schemes on a dataset acquired with the proposed capturing device confirms its good image quality and competitive recognition performance. This challenging dataset, which is one of the first publicly available contactless finger and hand vein datasets, is published as well.
A Block Method Using the Chirp Rate Estimation for NLFM Radar Pulse Reconstruction
Authors: Abratkiewicz Karol , Samczyński Piotr
Published: November 2019

This paper presents a novel approach to fast and accurate non-linear pulse signal reconstruction dedicated for electromagnetic sensors and their applications such as ELectronic INTelligence (ELINT), electronic warfare (EW), electronic reconnaissance (ER) systems, as well as for passive bistatic radar purposes in which other pulse radars are used as a source of illumination. The method is based on the instantaneous chirp rate (CR) estimation in the time-frequency (TF) domain providing a calculation of the frequency rate between every two consecutive samples. Such a new method allows for the precise reconstruction of the non-linear frequency modulated (NLFM) signal to be carried out in significantly shorter time in comparison to methods known in the literature. The presented approach was tested and validated using both simulated and real-life radar signals proving the usability of the proposed solution in practical applications. The results were compared with the precise extended generalized chirp transform (EGCT) method as a reference technique, using optimal matched filtration as the main concept.
SNR-Dependent Environmental Model: Application in Real-Time GNSS Landslide Monitoring
Authors: Han Junqiang , Tu Rui , Zhang Rui , Fan Lihong , Zhang Pengfei
Published: November 2019

The Global Navigation Satellite System (GNSS) is currently one of the important tools for landslide monitoring and early warning. However, the majority of GNSS devices are installed in mountainous areas and a variety of vegetation. These harsh environments lead to defective signals at high elevation angles, rendering real-time successive and reliable positioning results for monitoring difficult. In this study, an environmental model derived from signal-to-noise ratio (SNR) is proposed to enhance the precision and convergence time of positioning in harsh environments. A series of experiments are conducted on weighting and ambiguity-fixed models to evaluate performance. The results indicate that the proposed SNR-dependent environment model could lead to a significant improvement in precision and convergence time; with an obtained root mean squared result on the millimeter level, a convergence time of a few seconds, and utilization which could reach 100%, for continuous and reliable positioning results. These results indicate that the proposed SNR-dependent environment model enhances the performance of GNSS monitoring and early warning to provide continuous and reliable positioning results in real-time.
Combustible Gas Classification Modeling using Support Vector Machine and Pairing Plot Scheme
Authors: Jang Kyu-Won , Choi Jong-Hyeok , Jeon Ji-Hoon , Kim Hyun-Seok
Published: November 2019

Combustible gases, such as CH4 and CO, directly or indirectly affect the human body. Thus, leakage detection of combustible gases is essential for various industrial sites and daily life. Many types of gas sensors are used to identify these combustible gases, but since gas sensors generally have low selectivity among gases, coupling issues often arise which adversely affect gas detection accuracy. To solve this problem, we built a decoupling algorithm with different gas sensors using a machine learning algorithm. Commercially available semiconductor sensors were employed to detect CH4 and CO, and then support vector machine (SVM) applied as a supervised learning algorithm for gas classification. We also introduced a pairing plot scheme to more effectively classify gas type. The proposed model classified CH4 and CO gases 100% correctly at all levels above the minimum concentration the gas sensors could detect. Consequently, SVM with pairing plot is a memory efficient and promising method for more accurate gas classification.
Spectral Signatures of X-ray Scatter Using Energy-Resolving Photon-Counting Detectors
Authors: Lewis Cale E. , Das Mini
Published: November 2019

Energy-resolving photon-counting detectors (PCDs) separate photons from a polychromatic X-ray source into a number of separate energy bins. This spectral information from PCDs would allow advancements in X-ray imaging, such as improving image contrast, quantitative imaging, and material identification and characterization. However, aspects like detector spectral distortions and scattered photons from the object can impede these advantages if left unaccounted for. Scattered X-ray photons act as noise in an image and reduce image contrast, thereby significantly hindering PCD utility. In this paper, we explore and outline several important characteristics of spectral X-ray scatter with examples of soft-material imaging (such as cancer imaging in mammography or explosives detection in airport security). Our results showed critical spectral signatures of scattered photons that depend on a few adjustable experimental factors. Additionally, energy bins over a large portion of the spectrum exhibit lower scatter-to-primary ratio in comparison to what would be expected when using a conventional energy-integrating detector. These important findings allow flexible choice of scatter-correction methods and energy-bin utilization when using PCDs. Our findings also propel the development of efficient spectral X-ray scatter correction methods for a wide range of PCD-based applications.
Recent Progress in Lab-On-a-Chip Systems for the Monitoring of Metabolites for Mammalian and Microbial Cell Research
Authors: Dervisevic Esma , Tuck Kellie L. , Voelcker Nicolas H. , Cadarso Victor J.
Published: November 2019

Lab-on-a-chip sensing technologies have changed how cell biology research is conducted. This review summarises the progress in the lab-on-a-chip devices implemented for the detection of cellular metabolites. The review is divided into two subsections according to the methods used for the metabolite detection. Each section includes a table which summarises the relevant literature and also elaborates the advantages of, and the challenges faced with that particular method. The review continues with a section discussing the achievements attained due to using lab-on-a-chip devices within the specific context. Finally, a concluding section summarises what is to be resolved and discusses the future perspectives.
Distributed Reliable and Efficient Transmission Task Assignment for WSNs
Authors: Zhu Xiaojuan , Li Kuan-Ching , Zhang Jinwei , Zhang Shunxiang
Published: November 2019

Task assignment is a crucial problem in wireless sensor networks (WSNs) that may affect the completion quality of sensing tasks. From the perspective of global optimization, a transmission-oriented reliable and energy-efficient task allocation (TRETA) is proposed, which is based on a comprehensive multi-level view of the network and an evaluation model for transmission in WSNs. To deliver better fault tolerance, TRETA dynamically adjusts in event-driven mode. Aiming to solve the reliable and efficient distributed task allocation problem in WSNs, two distributed task assignments for WSNs based on TRETA are proposed. In the former, the sink assigns reliability to all cluster heads according to the reliability requirements, so the cluster head performs local task allocation according to the assigned phase target reliability constraints. Simulation results show the reduction of the communication cost and latency of task allocation compared to centralized task assignments. Like the latter, the global view is obtained by fetching local views from multiple sink nodes, as well as multiple sinks having a consistent comprehensive view for global optimization. The way to respond to local task allocation requirements without the need to communicate with remote nodes overcomes the disadvantages of centralized task allocation in large-scale sensor networks with significant communication overheads and considerable delay, and has better scalability.
Signal Denoising Method Using AIC–SVD and Its Application to Micro-Vibration in Reaction Wheels
Authors: Yin Xianbo , Xu Yang , Sheng Xiaowei , Shen Yan
Published: November 2019

To suppress noise in signals, a denoising method called AIC–SVD is proposed on the basis of the singular value decomposition (SVD) and the Akaike information criterion (AIC). First, the Hankel matrix is chosen as the trajectory matrix of the signals, and its optimal number of rows and columns is selected according to the maximum energy of the singular values. On the basis of the improved AIC, the valid order of the optimal matrix is determined for the vibration signals mixed with Gaussian white noise and colored noise. Subsequently, the denoised signals are reconstructed by inverse operation of SVD and the averaging method. To verify the effectiveness of AIC–SVD, it is compared with wavelet threshold denoising (WTD) and empirical mode decomposition with Savitzky–Golay filter (EMD–SG). Furthermore, a comprehensive indicator of denoising (CID) is introduced to describe the denoising performance. The results show that the denoising effect of AIC–SVD is significantly better than those of WTD and EMD–SG. On applying AIC–SVD to the micro-vibration signals of reaction wheels, the weak harmonic parameters can be successfully extracted during pre-processing. The proposed method is self-adaptable and robust while avoiding the occurrence of over-denoising.
A Triple Checked Partial Ambiguity Resolution for GPS/BDS RTK Positioning
Authors: Lu Liguo , Ma Liye , Liu Wanke , Wu Tangting , Chen Benfu
Published: November 2019

Reliable and accurate carrier phase ambiguity resolution is the key to high-precision Global Navigation Satellite System (GNSS) positioning and application. With the fast development of modern GNSS, the increased number of satellites and ambiguities makes it hard to fix all ambiguities completely and correctly. The partial ambiguity fixing technique, which selects a suitable subset of high-dimensional ambiguities to fix, is beneficial for improving the fixed success rate and reliability of ambiguity resolution. In this contribution, the bootstrapping success rate, bounded fixed-failure ratio test, and the new defined baseline precision defect are used for the selection of the ambiguity subset. Then a model and data dual-driven partial ambiguity resolution method is proposed with the above three checks imposed on it, which is named the Triple Checked Partial Ambiguity Resolution (TC-PAR). The comprehensive performance of TC-PAR compared to the full-fixed LAMBDA method is also analyzed based on several criteria including the fixed rate, the fixed success rate and correct fixed rate of ambiguity as well as the precision defect and RMS of the baseline solution. The results show that TC-PAR could significantly improve the fixed success rate of ambiguity, and it has a comparable baseline precision to the LAMBDA method, both of which are at centimeter level after ambiguities are fixed.
A Fire Reconnaissance Robot Based on SLAM Position, Thermal Imaging Technologies, and AR Display
Authors: Li Sen , Feng Chunyong , Niu Yunchen , Shi Long , Wu Zeqi , Song Huaitao
Published: November 2019

Due to hot toxic smoke and unknown risks under fire conditions, detection and relevant reconnaissance are significant in avoiding casualties. A fire reconnaissance robot was therefore developed to assist in the problem by offering important fire information to fire fighters. The robot consists of three main systems, a display operating system, video surveillance, and mapping and positioning navigation. Augmented reality (AR) goggle technology with a display operating system was also developed to free fire fighters’ hands, which enables them to focus on rescuing processes and not system operation. Considering smoke disturbance, a thermal imaging video surveillance system was included to extract information from the complicated fire conditions. Meanwhile, a simultaneous localization and mapping (SLAM) technology was adopted to build the map, together with the help of a mapping and positioning navigation system. This can provide a real-time map under the rapidly changing fire conditions to guide the fire fighters to the fire sources or the trapped occupants. Based on our experiments, it was found that all the tested system components work quite well under the fire conditions, while the video surveillance system produces clear images under dense smoke and a high-temperature environment; SLAM shows a high accuracy with an average error of less than 3.43%; the positioning accuracy error is 0.31 m; and the maximum error for the navigation system is 3.48%. The developed fire reconnaissance robot can provide a practically important platform to improve fire rescue efficiency to reduce the fire casualties of fire fighters.
Stability Indicating HPLC-ECD Method for the Analysis of Clarithromycin in Pharmaceutical Dosage Forms: Method Scaling versus Re-Validation
Authors: Makoni Pedzisai A. , Chikukwa Mellisa T. R. , Khamanga Sandile M. M. , Walker Roderick B.
Published: November 2019

An isocratic high-performance liquid chromatographic method using electrochemical detection (HPLC-ECD) for the quantitation of clarithromycin (CLA) was developed using Response Surface Methodology (RSM) based on a Central Composite Design (CCD). The method was validated using International Conference on Harmonization (ICH) guidelines with an analytical run time of 20 min. Method re-validation following a change in analytical column was successful in reducing the analytical run time to 13 min, decreasing solvent consumption thus facilitating environmental and financial sustainability. The applicability of using the United States Pharmacopeia (USP) method scaling approach in place of method re-validation using a column with a different L–designation to the original analytical column, was investigated. The scaled method met all USP system suitability requirements for resolution, tailing factor and % relative standard deviation (RSD). The re-validated and scaled method was successfully used to resolve CLA from manufacturing excipients in commercially available dosage forms. Although USP method scaling is only permitted for columns within the same L-designation, these data suggest that it may also be applicable to columns of different designation.
Exploring Children’s Physical Activity Behaviours According to Location: A Mixed-Methods Case Study
Authors: Khawaja Irfan , Woodfield Lorayne , Collins Peter , Benkwitz Adam , Nevill Alan
Published: November 2019

The school environment is ideally placed to facilitate physical activity (PA) with numerous windows of opportunity from break and lunch times, to lesson times and extracurricular clubs. However, little is known about how children interact with the school environment to engage in PA and the other locations they visit daily, including time spent outside of the school environment i.e., evening and weekend locations. Moreover, there has been little research incorporating a mixed-methods approach that captures children’s voices alongside objectively tracking children’s PA patterns. The aim of this study was to explore children’s PA behaviours according to different locations. Sixty children (29 boys, 31 girls)—35 key stage 2 (aged 9–11) and 25 key stage 3 (aged 11–13)—wore an integrated global positioning systems (GPS) and heart rate (HR) monitor over four consecutive days. A subsample of children (n = 32) were invited to take part in one of six focus groups to further explore PA behaviours and identify barriers and facilitators to PA. Children also completed a PA diary. The KS2 children spent significantly more time outdoors than KS3 children (p = 0.009). Boys engaged in more light PA (LPA) when on foot and in school, compared with girls (p = 0.003). KS3 children engaged in significantly more moderate PA (MPA) at school than KS2 children (p = 0.006). Focus groups revealed fun, enjoyment, friends, and family to be associated with PA, and technology, costs, and weather to be barriers to PA. This mixed methodological study highlights differences in the PA patterns and perceptions of children according to age and gender. Future studies should utilize a multi-method approach to gain a greater insight into children’s PA patterns and inform future health policies that differentiate among a range of demographic groups of children.
Leather Thermal and Environmental Parameters in Fire Conditions
Authors: Półka Marzena
Published: November 2019

The thermal decomposition of leather-product combustion produces some inflammable and harmful compounds after tanning, fat liquoring, dyeing, and finishing processes. These organic compounds are ignited and release a lot of toxic gases and smoke in fire conditions, polluting the atmosphere air. On this account, it is very important to know leather safety performance for fire prevention. The flammability and thermal stability of types of leather at thermal expositions stimulating fire conditions were analyzed. Five types of leather were used in experimental testing, four of animal origin and an artificial one. Results showed that, in the analyzed heat exposure, the highest average heat-release rate (174 kW/m2) and smoke generation, and the lowest temperature of the beginning of thermal decomposition, were recorded for the artificial leather. Leather flammability essentially depends on the type of applied energy stimulus, as well as hide composition and origin. A possible cause for differences in the obtained results of the leather analyses is the percentage of certain leather components and their chemical composition.
Mobility, Knowledge Transfer, and Innovation: An Empirical Study on Returned Chinese Academics at Two Research Universities
Authors: Chen Qiongqiong , Li Yuan
Published: November 2019

This study provides an in-depth analysis of the effects of academic mobility on higher education innovation through an empirical study on returned Chinese academics at two research universities in China. Based on data obtained through document analysis and semi-structured interviews with 15 academic returnees, this paper aims to examine the everyday interactions between individual returnees and their environment, with a focus on exploring how different institutional contexts affect returnees’ capacity for integration and innovation. It finds that returned academics play an important role in promoting higher education innovation in China through mobilizing their transnational capital and resources. However, their capacity to innovate is largely subject to their working environment. Evidence from the study suggests that differing institutional contexts make a substantial difference to the reintegration experiences of returnees and to their contributions to institutional changes. This paper provides a window into the changing institutional environment in China and the academic lives of returnees there. It also provides important implications for talent policy decisions.
A Principal-Agent Theory Perspective on PPP Risk Allocation
Authors: Shrestha Asheem , Tamošaitienė Jolanta , Martek Igor , Hosseini M Reza , Edwards David J
Published: November 2019

This study proposes a framework for the allocation of risk in public private partnerships (PPP) projects. Its contribution lies in the recognition and incorporation of risks introduced by project stakeholders, and as articulated by the principal-agent theory (PAT). The framework assesses risks and routes these risks to those parties best equipped to mitigate their impact on the project. This allocation of risk is facilitated by a thirteen-step process. The practical benefit of this study lies in outlining a clear, systematic method for allocating risk efficiently to both the government and private enterprise parties of the project. In so doing, risk mitigation can be expected to improve project performance, optimize stakeholder goals, and enhance sustainability objectives, including improved operational life-cycle efficiency and elevated social and community benefits.
Adoption of Multiple Sustainable Manure Treatment Technologies by Pig Farmers in Rural China: A Case Study of Poyang Lake Region
Authors: Cai Jingyuan , Zhang Liguo , Tang Jing , Pan Dan
Published: November 2019

The adoption of sustainable manure treatment technologies (SMTTs) in livestock production helps to reduce agricultural contamination. As such, understanding what determines farmers’ adoption of SMTTs is an essential prerequisite for the administrative handling of livestock pollution. Applying a multivariate probit model on a cross-sectional data set of 686 pig farmers in Poyang Lake Region in China, this study discovered that two key factors influencing farmers’ decisions to adopt multiple SMTTs are off-farm labor and environmental awareness. In other words, households with a higher share of off-farm labor are less likely to adopt SMTTs. Farmers with higher environmental awareness are more likely to adopt SMTTs. The results also revealed that because of the inappropriateness of government subsidy and insufficient technical training, the impact of Chinese government subsidy on the adoption of biogas technology is negligible, but the subsidy on composting greatly helps to promote the adoption of composting technology. We also found a substitution effect and complementary effects between different SMTTs. These findings can improve policymakers’ understanding of farmers’ joint adoption decisions. It also helps policymakers to optimize subsidy strategies to encourage farmers’ adoption of SMTTs in rural China.
Institutional Arrangements and Overeducation: Challenges for Sustainable Growth. Evidence from the Romanian Labour Market
Authors: Pană Marius-Cristian , Fanea-Ivanovici Mina
Published: November 2019

One of the approaches describing the strategic vision initiated by the Europe 2020 Strategy for smart sustainable and inclusive growth considers that increasing public expenses with education can help in achieving its goals. Concomitantly, higher levels of educational attainment are supposed to at least partially offset the negative effects of economic crises. Nevertheless, one of the consequences of this strategic approach—overeducation—tends to be underrated. This article aims to analyse the influence of the institutional arrangements of the business environment and labour market on overeducation in Romania. For this purpose, we designed two indicators for the institutional quality of business environment and labour market. Their evolutions were compared with the change in the unemployment rate among tertiary graduates. The research reveals that in Romania, the quality of institutional arrangements can still be improved, and that one of its negative consequences is unemployment and an exacerbated number of tertiary graduates in the higher education system. An inverse relationship has been identified between the quality of institutional arrangements of business environment and labour market, on one hand, and the rate of tertiary graduates who never worked in the total unemployed tertiary graduates, on the other hand.
A Method of Large-Scale Resource Utilization of Algae—Eutrophic Waste from Lake Chao, China: Preparation and Performance Optimization of Composite Packaging Materials
Authors: Zhao Bingbing , Fang Yan , Wu Kang , Zhang Fayu , Wang Jiaquan
Published: November 2019

In order to realize the resource utilization of bloom algae from Lake Chao, this study presents the use of fresh algae to improve the mechanical and biological properties of low-density polyethylene (LDPE). In this study, the algae and LDPE were used as raw materials, maleic anhydride grafted polyethylene (PE-g-MAH), polyethylene wax (PE-wax) and white oil, and glycerin were used as the compatibilizer, lubricant, and plasticizer, respectively. The single factor experiments were conducted with these three individual factors, and the response surface methodology technique was used to optimize the process conditions. In the single factor experiments, the mechanical properties of the composites increased with additions of PE-g-MAH, PE-wax/white oil, and glycerin. Both flexural strength and flexural modulus were maximized to optimize the preparation conditions. The optimum preparation conditions were found as follows: algae powder of 15.00 wt%, LDPE of 85.00 wt%, PE-g-MAH of 4.00 wt%, lubricant of 2.67 wt%, and glycerin of 3.00 wt%. This resulted in 11.60 MPa of tensile strength, 9.95 MPa of flexural strength, and 241.00 MPa of flexural modulus. The mechanical properties of composites were greatly improved compared with the absence of additives. In addition, compared with LDPE resin, the degradability of the composite was improved, and the weight loss rate was 7.73% after 6 months. The results recommended that the composites of the algae from Lake Chao and LDPE resin could be a useful material in the packaging field. Generally, the prepared composite particles can be used to produce foam products, packaging bags, or hard packing boxes with special shapes. It is more environmentally friendly, and more able to meet the challenges of sustainable development.
Considering JIT in Assigning Task for Return Vehicle in Green Supply Chain
Authors: Tseng Shih-Hsien , Wee Hui-Ming , Reong Samuel , Wu Chun-I
Published: November 2019

The purpose of this study was to achieve supply chain sustainability by considering Just in Time (JIT) in return vehicle usage. In response to a general increase in modern environmental awareness, consumer and government attention towards product and service compliance with environmental protection standards has increased. Consequently, manufacturers and stakeholders are pressured to use eco-friendly supply chains. In this paper, we analyzed the JIT model, a transportation network that ensure agile responses and delivery of goods in a supply chain, which reduces inventory costs. We then compared two return vehicle transportation scenarios. In the first, goods were transported from the central warehouse to the distribution base, and the return vehicle delivered recyclable packaging materials back to the central distribution warehouse. In the second scenario, goods were transported from the manufacturer to the distribution center (warehouse) more frequently, leading to reduced inventory. We then utilized the aforementioned JIT system with ILOG CPLEX12.4 to ascertain which scenario would produce the lowest carbon emissions for the lowest total cost.
Molecular No Smart-Planning in Italy: 8000 Municipalities in Action throughout the Country
Authors: Romano Bernardino , Zullo Francesco , Fiorini Lorena , Marucci Alessandro
Published: November 2019

This paper discusses the topic of urban and spatial planning in Italy where decision-making is left almost exclusively to the innumerable, small municipalities present in the country and totaling almost 8000 in number. Projects and actions to transform built areas, infrastructure, and welfare services of all sorts and purposes in a national territory of over 300,000 km2 are supervised by countless mayors, municipal councils, and boards that govern plots of land corresponding to polygons of a few kilometers per side. This is generally achieved by means of town plans developed outside of any general rule or protocol, the contents of which are often ignored as a result of national legislation that weakens them and sometimes makes them uninfluential essentially. This is a European example of urban planning mismanagement that deserves to be brought to the broader attention of the European technical and scientific community, also because the debate developed so far on this topic—even by eminent and authoritative urban planners—has been published almost entirely in Italian only. Public and political attention towards this issue is extremely limited, although the severe effects of “molecular planning” are beginning to be perceived: unjustified overurbanization and highly patchy, energy-intensive, urban patterns that are destructive for ecosystems and at odds with public interests regarding environmental and urban quality. In this paper, we make some comparisons with other European countries and outline some directions—certainly very difficult to follow—to reconsider and recover from the adverse effects produced to date.
Systems Thinking Approach to Sustainable Performance in RAMSAR Sites
Authors: Sánchez-García Jacqueline Y. , Ramírez-Gutiérrez Ana Gabriela , Núñez-Ríos Juan E. , Cardoso-Castro Pedro  Pablo , G. Rojas Omar
Published: November 2019

This article explores and validates the integrated use of the viable system model (VSM) and the partial least squares path modeling (PLS-PM) approach to assess the sustainable management of RAMSAR sites carrying out economic activities. This work adopts a systems-thinking approach integrating systemic methodologies in three phases: (1) the VSM was first used to develop a conceptual model of the organisational problem; (2) PLS-PM was used to propose a construct to outline a solution, as well as to statistically validate the relationships proposed in the conceptual model; finally, (3) through the VSM, the relationships between actors were rethought in order to promote sustainable performance. The results obtained suggest that the joint use of VSM and PLS-PM is an effective approach that aids in the identification of relational and structural pathologies affecting the observed RAMSAR systems. It also proved useful to suggest that relationships can lead to the sustainable performance of the sites under study. It should be noted that the framework of systemic tools is constrained in its application to the organisational domain: assessing two RAMSAR areas in Mexico. Methodologically, this is the first application of the integrated use of VSM and PLS-PM to analyse the management and viability/sustainability of RAMSAR areas from an organisational perspective, opening a new avenue for the analysis and optimisation of management of such areas. This study provides tools to support actors and academics related to RAMSAR sites and opens up a discussion on how to rethink the organisational interactions in order to improve RAMSAR sites’ adaptive capabilities.
Survey on the Indoor Thermal Environment and Passive Design of Rural Residential Houses in the HSCW Zone of China
Authors: Rui Jingwen , Zhang Huibo , Shi Chengnan , Pan Deng , Chen Ya , Du Chunyu
Published: November 2019

Despite their high energy consumption, rural residential houses in the hot summer and cold winter (HSCW) zone still have a generally poor indoor thermal environment. The objective of this study was to understand the current status of the indoor thermal environment for rural residential houses in the HSCW zone and analyze its cause in order to develop some strategies for improvement through passive design of the building envelope. Face-to-face questionnaires and interviews, air-tightness testing, and temperature and humidity monitoring were conducted to understand the building envelope, energy consumption, and indoor thermal environment. Then, some passive design strategies were simulated, including the application of functional interior materials such as hygroscopic and phase change materials. An overall passive design for the building envelope can increase the room temperature by 3.6 °C, reduce the indoor relative humidity by 12% in the winter, and reduce the room temperature by 4.4 °C in the summer. In addition, the annual energy-saving rate can reach ~35%.
Risk-Perception Formation Considering Tangible and Non-Tangible Aspects of Cycling: A Flemish Case Study
Authors: Ul-Abdin Zain , De Winne Pieter , De Backer Hans
Published: November 2019

Risk perception influences cycling attributes toward its adoption. Researchers are investigating attributes associated with risk formation. In this study, various attributes were selected which influence the user’s formation of risk perception. For this purpose, an online questionnaire survey was conducted in Flanders, among all segments of the population (N = 774). Participants were asked questions for attributes relating to risk formation. Results suggested that risk formation among users evolves around tangible to non-tangible attributes. The spectrum of risk perception was developed which visualizes risk evolution, considering various attributes. Surprisingly, elements such as “comfort”, surface evenness, and policies were rated as being neutral. Infrastructure and the presence of opposite road users tend to be foreseen as critical factors for risk formation. Risk perception varies depending upon psychometric paradigm shifts, such as dread and unknown risk. This strange notion is considered to lie in a space between dread and unknown risk. This explains the difference in risk perception, knowingly or not knowingly (subconsciously), yet expressing cognitively and evolving inside. This is an interesting finding, but reasons behind such a motive need to be explained. A possible explanation behind such behavior is that people tend to change their responses due to knowledge acquisition during the survey.
Effects of Soil Properties and Illumination Intensities on Matric Suction of Vegetated Soil
Authors: Liu Qi , Su Lijun , Xia Zhenyao , Liu Daxiang , Xu Wennian , Xiao Hai
Published: November 2019

Matric suction induced by evapotranspiration is an important parameter for determining the hydraulic mechanisms of vegetation on slope stability. Despite evapotranspiration closely associated with atmospheric parameters and soil conditions, the influence of soil properties and illumination intensities on matric suction of vegetated soil has so far received the least research attention. In this paper, three kinds of soil, namely, fine sandy loam, sandy silt, and silty clay, were selected as experimental soils, and Indigofera amblyantha was chosen as the test plant. The test conditions were controlled, such as the use of homogeneous soil and uniform plant growth conditions. Each specimen was exposed to identical atmospheric conditions controlled in a laboratory for monitoring matric suction responses over 10 days. The results showed that illumination intensities play an important role in evapotranspiration, and the thermal energy from lighting had a direct impact on plant transpiration, whereas the lighting only affected plant photosynthesis. Plant roots in vegetated soil can effectively improve the air intake value of soil, and matric suction induced by plant transpiration in vegetated soil was 1.5–2.0 times that of un-evapotranspirated soil. There is a correlation between matric suction and the silt and clay contents, and the matric suction of silty clay was sensitive to changes in the soil moisture content. Compared to fine sandy loam, the water retention of sandy silt and silty clay was high, and a high level of matric suction was maintained in the corresponding time. The results for predicting soil water evapotranspiration based on matric suction have theoretical and practical significance for preventing soil erosion and shallow landslides. In addition, these results have great guiding significance for agricultural production, such as irrigation.
Sustainability Benefits of RFID Technology in the Apparel Industry
Authors: Denuwara Navodya , Maijala Juha , Hakovirta Marko
Published: November 2019

Digitalization and big data are currently moving many industries forward and creating value-added efficiency improvements, new services, and business models. One area in industrial digitalization is RFID (Radio Frequency Identification) and related sensor technologies with benefits in asset visibility, employee productivity, risk management, loss, and theft mitigation. This literature review article is focused on specifically looking at digitalization in the apparel industry. Due to its complex global network, it has been a challenging industry to implement such technological advancements. Recent novel RFID system integrations have included highly innovative solutions in new store concepts, business models, and product traceability in the value chain. Inventory management has been improved by using RFID technology for creating and updating and for more efficient controls. Also, chain of custody of the various products in apparel and fashion can be more traceable and efficient. Improved customer connectivity and, therefore, customization are also important benefits using these technologies. Most benefits in using RFID in the apparel industry are related to economics and efficiencies. Similarly looking at scientific literature, the majority is focused on the more business-related value creation. In this publication, results of a systematically made literature review focusing on the three dimensions of sustainability (environmental, social, and economic systems) is reported. This review is done using value chain analyses, and it focuses on reported case studies to highlight the sustainability benefits of the RFID technology. According to the literature findings, this is the first review article that reports on the broader sustainability impact of RFID in the apparel industry. The findings show a very limited number of articles and the main focus of the articles found was in environmental aspects (44%). Following that was economic benefits (36%), and only a limited amount of research articles was found in social aspects of sustainability (20%). In addition to identifying the sustainability areas that RFID technology is related to, this article shows other areas of improvements using RFID technology in different parts of the apparel value chain.
Role of SME in Poverty Alleviation in SAARC Region via Panel Data Analysis
Authors: Manzoor Faiza , Wei Longbao , Nurunnabi Mohammad , Abdul Subhan Qazi
Published: November 2019

The key objective of the formation of the South Asian Association of Regional Cooperation (SAARC) is to join hands collectively for slow economic growth, poverty eradication, deprived health and education sectors. In the 12th SAARC Summit, it has been declared that poverty eradication is the main area of concentration and SAARC countries would strive their best to minimize all types of poverty with the help of any possible strategy. The main objectives of the current study are to evaluate the development of the agenda of poverty eradication in SAARC countries through small and medium enterprise (SME) development because it would be considered as a short-routed remedy to mitigate poverty. The poorest 20% income holder as a percentage of GDP has been used as the proxy for poverty in the SAARC region. SME development has been measured through the SME share in GDP in respective countries. The panel dataset has been developed for the period of 1990 to 2015. The fixed effect method (FEM) and regression equation techniques were used to analyse the observed data. The results of the FEM were misleading. The regression equations for the respective countries were used for empirical analysis. The results have identified that there are three main factors that are essential in reducing poverty in the SAARC region: SME growth, openness of trade and social sector development.
Selection of Favourable Concept of Energy Retrofitting Solution for Social Housing in the Czech Republic Based on Economic Parameters, Greenhouse Gases, and Primary Energy Consumption
Authors: Sojkova Katerina , Volf Martin , Lupisek Antonin , Bolliger Roman , Vachal Tomas
Published: November 2019

Energy retrofitting of existing building stock has significant potential for the reduction of energy consumption and greenhouse gas emissions. Roughly half of the CO2 emissions from Czech building stock are estimated to be allocated to residential buildings. Approximately one-third of the Czech residential building stock have already been retrofitted, but retrofitting mostly takes place in large cities due to greater income. A favourable concept for the mass retrofitting of residential building stock, affordable even in low-income regions, was of interest. For a reference building, multi-criteria assessment of numerous retrofitting measures was performed. The calculation involved different building elements, materials, solutions, and energy-efficiency levels in combination with various heating systems. The assessment comprised environmental impact, represented by operational and embodied primary energy consumption and greenhouse gas emissions, and investment and operational costs using the annuity method. Analysis resulted in the identification of favourable retrofitting measures and showed that complex building retrofitting is advantageous from both a cost and an environmental point of view. The environmental burden could be decreased by approximately 10–30% even without photovoltaic installation, and costs per year could be decreased by around 40%.
Effect of Crumb Rubber, Epolene (EE-2), and Date Palm Ash as Modifiers on the Performance of Binders and Mixtures: A Sustainable Approach
Authors: Khan Muhammad Imran , Sutanto Muslich Hartadi , Sunarjono Sri , Room Shah , Yusoff Nur Izzi Md
Published: November 2019

The only type of conventional bitumen (PG 64-10) available in the Kingdom of Saudi Arabia (KSA) does not meet the temperature requirements of most of the kingdom’s regions. Hence, the binder needs to be modified to improve the performance of flexible pavements at high temperature and heavy traffic loading. In order to meet the requirements of the Superpave Performance Grade (PG), crumb rubber (CR), epolene (EE-2), and date palm ash (DPA) were used as asphalt additives in different percentages (4%, 8%, 12%, and 16% by weight of bitumen). Viscosity and rheological tests as well as stability and indirect tensile tests were performed on binders and asphalt mixtures. The binders modified with CR, EE-2, and DPA showed improved rheological and performance properties as compared to conventional binder. Similarly, the PG of conventional asphalt was upgraded with the addition of different percentages of the modifiers. Furthermore, this study also aimed to help the environment by minimizing and recycling wastes in road construction processes to achieve sustainability.
Human Resource Abilities and Skills in TQM for Sustainable Enterprises
Authors: García-Alcaraz Jorge Luis , Flor-Montalvo Francisco Javier , Avelar-Sosa Liliana , Sánchez-Ramírez Cuauhtémoc , Jiménez-Macías Emilio
Published: November 2019

Total quality management (TQM) is a lean manufacturing tool that focuses on ensuring the production of goods that meet design specifications and give customer satisfaction, both attractive benefits highly appreciated by managers. However, there are several factors involved in the success of TQM programs, many of which are cultural aspects associated with human resources (HR). This article presents a structural equation model that integrates three latent variables related to internal HR: “managerial commitment,” “employee integration,” and “training and education,” which are linked to the operational benefits of a manufacturing system. The variables are connected through six hypotheses that have been validated with information obtained from 398 responses of a questionnaire applied to manufacturing industry professionals. In addition, a sensitivity analysis was carried out to describe the probabilities of occurrence for the variables at low and high levels. The hypotheses were statistically validated with the partial least squared technique, where the results showed that human factors play an essential role in the success of TQM, since the direct, indirect, and total effects of managerial commitment, employee integration and training, and education processes on the benefits obtained from the implementation of TQM were statistically significant at 95% confidence.