bluuebunny/crossref_metadata_2025 huggingface dataset:
“When You Live Here, That’s What You Get”: Other-, Ex-, and Non-Religious Outsiders in the Norwegian Bible Belt
Authors: Fisher-Høyrem Stefan , Herbert David
Published: November 2019

This article presents data from our investigations in Kristiansand, the largest city in Southern Norway, an area sometimes called Norway’s ‘Bible belt’. We investigate how social media is reshaping social relations in the city, looking especially at how social order is generated, reinforced, and challenged on social media platforms. Drawing on the figurational sociology of Norbert Elias, as well as findings from research conducted among Muslim immigrants in Scandinavian cities and their response to what they perceive as the dominant media frame, we focus this article on a less visible group of outsiders in the local social figuration: young ex- and non-religious persons. The mediated and enacted performances of this loosely defined group and their interactions with more influential others provide a case study in how non-religious identities and networked communities are construed not (only) based on explicit rejection of religion but also in negotiation with a social order that happens to carry locally specific ‘religious’ overtones. With respect to the mediatization of religion we extend empirical investigation of the theory to social media, arguing that what while religious content is shaped by social media forms, in cases where religious identifiers already convey prestige in local social networks, social media may increase the influence of these networks, thus deepening processes of social inclusion for those in dominant groups and the exclusion of outsiders. In this way, platforms which are in principle open and in practice provide space for minorities to self-organise, also routinely reinforce existing power relations.
Determination of Appropriate Remote Sensing Indices for Spring Wheat Yield Estimation in Mongolia
Authors: Tuvdendorj Battsetseg , Wu Bingfang , Zeng Hongwei , Batdelger Gantsetseg , Nanzad Lkhagvadorj
Published: November 2019

In Mongolia, the monitoring and estimation of spring wheat yield at the regional and national levels are key issues for the agricultural policy and food management as well as for the economy and society as a whole. The remote sensing data and technique have been widely used for the estimation of crop yield and production in the world. For the current research, nine remote sensing indices were tested that include normalized difference drought index (NDDI), normalized difference water index (NDWI), vegetation condition index (VCI), temperature condition index (TCI), vegetation health index (VHI), normalized multi-band drought index (NMDI), visible and shortwave infrared drought index (VSDI), and vegetation supply water index (VSWI). These nine indices derived from MODIS/Terra satellite have so far not been used for crop yield prediction in Mongolia. The primary objective of this study was to determine the best remote sensing indices in order to develop an estimation model for spring wheat yield using correlation and regression method. The spring wheat yield data from the ground measurements of eight meteorological stations in Darkhan and Selenge provinces from 2000 to 2017 have been used. The data were collected during the period of the growing season (June–August). Based on the analysis, we constructed six models for spring wheat yield estimation. The results showed that the range of the root-mean-square error (RMSE) values of estimated spring wheat yield was between 4.1 (100 kg ha−1) to 4.8 (100 kg ha−1), respectively. The range of the mean absolute error (MAE) values was between 3.3 to 3.8 and the index of agreement (d) values was between 0.74 to 0.84, respectively. The conclusion was that the best model would be (R2 = 0.55) based on NDWI, VSDI, and NDVI out of the nine indices and could serve as the most effective predictor and reliable remote sensing indices for monitoring the spring wheat yield in the northern part of Mongolia. Our results showed that the best timing of yield prediction for spring wheat was around the end of June and the beginning of July, which is the flowering stage of spring wheat in this study area. This means an accurate yield prediction for spring wheat can be achieved two months before the harvest time using the regression model.
An Accurate Method to Distinguish Between Stationary Human and Dog Targets Under Through-Wall Condition Using UWB Radar
Authors: Ma Yangyang , Liang Fulai , Wang Pengfei , Lv Hao , Yu Xiao , Zhang Yang , Wang Jianqi
Published: November 2019

Research work on distinguishing humans from animals can help provide priority orders and optimize the distribution of resources in earthquake- or mining-related rescue missions. However, the existing solutions are few and their stability and accuracy of classification are less. This study proposes an accurate method for distinguishing stationary human targets from dog targets under through-wall condition based on ultra-wideband (UWB) radar. Eight humans and five beagles were used to collect 130 samples of through-wall signals using the UWB radar. Twelve corresponding features belonging to four categories were combined using the support vector machine (SVM) method. A recursive feature elimination (RFE) method determined an optimal feature subset from the twelve features to overcome overfitting and poor generalization. The results after ten-fold cross-validation showed that the area under the receiver operator characteristic (ROC) curve can reach 0.9993, which indicates that the two subjects can be distinguished under through-wall condition. The study also compared the ability of the proposed features of four categories when used independently in a classifier. Comparison results indicated that wavelet entropy-corresponding features among them have the best performance. The method and results are envisioned to be applied in various practical situations, such as post-disaster searching, hostage rescues, and intelligent homecare.
A High-Accuracy Indoor-Positioning Method with Automated RGB-D Image Database Construction
Authors: Wang Runzhi , Wan Wenhui , Di Kaichang , Chen Ruilin , Feng Xiaoxue
Published: November 2019

High-accuracy indoor positioning is a prerequisite to satisfy the increasing demands of position-based services in complex indoor scenes. Current indoor visual-positioning methods mainly include image retrieval-based methods, visual landmarks-based methods, and learning-based methods. To better overcome the limitations of traditional methods such as them being labor-intensive, of poor accuracy, and time-consuming, this paper proposes a novel indoor-positioning method with automated red, green, blue and depth (RGB-D) image database construction. First, strategies for automated database construction are developed to reduce the workload of manually selecting database images and ensure the requirements of high-accuracy indoor positioning. The database is automatically constructed according to the rules, which is more objective and improves the efficiency of the image-retrieval process. Second, by combining the automated database construction module, convolutional neural network (CNN)-based image-retrieval module, and strict geometric relations-based pose estimation module, we obtain a high-accuracy indoor-positioning system. Furthermore, in order to verify the proposed method, we conducted extensive experiments on the public indoor environment dataset. The detailed experimental results demonstrated the effectiveness and efficiency of our indoor-positioning method.
Fuzzy Object-Based Image Analysis Methods Using Sentinel-2A and Landsat-8 Data to Map and Characterize Soil Surface Residue
Authors: Najafi Payam , Navid Hossein , Feizizadeh Bakhtiar , Eskandari Iraj , Blaschke Thomas
Published: November 2019

Soil degradation, defined as the lowering and loss of soil functions, is becoming a serious problem worldwide and threatens agricultural production and terrestrial ecosystems. The surface residue of crops is one of the most effective erosion control measures and it increases the soil moisture content. In some areas of the world, the management of soil surface residue (SSR) is crucial for increasing soil fertility, maintaining high soil carbon levels, and reducing the degradation of soil due to rain and wind erosion. Standard methods of measuring the residue cover are time and labor intensive, but remote sensing can support the monitoring of conservation tillage practices applied to large fields. We investigated the potential of per-pixel and object-based image analysis (OBIA) for detecting and estimating the coverage of SSRs after tillage and planting practices for agricultural research fields in Iran using tillage indices for Landsat-8 and novel indices for Sentinel-2A. For validation, SSR was measured in the field through line transects at the beginning of the agricultural season (prior to autumn crop planting). Per-pixel approaches for Landsat-8 satellite images using normalized difference tillage index (NDTI) and simple tillage index (STI) yielded coefficient of determination (R2) values of 0.727 and 0.722, respectively. We developed comparable novel indices for Sentinel-2A satellite data that yielded R2 values of 0.760 and 0.759 for NDTI and STI, respectively, which means that the Sentinel data better matched the ground truth data. We tested several OBIA methods and achieved very high overall accuracies of up to 0.948 for Sentinel-2A and 0.891 for Landsat-8 with a membership function method. The OBIA methods clearly outperformed per-pixel approaches in estimating SSR and bear the potential to substitute or complement ground-based techniques.
A Mutiscale Residual Attention Network for Multitask Learning of Human Activity Using Radar Micro-Doppler Signatures
Authors: He Yuan , Li Xinyu , Jing Xiaojun
Published: November 2019

Short-range radar has become one of the latest sensor technologies for the Internet of Things (IoT), and it plays an increasingly vital role in IoT applications. As the essential task for various smart-sensing applications, radar-based human activity recognition and person identification have received more attention due to radar’s robustness to the environment and low power consumption. Activity recognition and person identification are generally treated as separate problems. However, designing different networks for these two tasks brings a high computational complexity and wastes of resources to some extent. Furthermore, there are some correlations in activity recognition and person identification tasks. In this work, we propose a multiscale residual attention network (MRA-Net) for joint activity recognition and person identification with radar micro-Doppler signatures. A fine-grained loss weight learning (FLWL) mechanism is presented for elaborating a multitask loss to optimize MRA-Net. In addition, we construct a new radar micro-Doppler dataset with dual labels of activity and identity. With the proposed model trained on this dataset, we demonstrate that our method achieves the state-of-the-art performance in both radar-based activity recognition and person identification tasks. The impact of the FLWL mechanism was further investigated, and ablation studies of the efficacy of each component in MRA-Net were also conducted.
Hardware Mechanism for Energy Saving in WiFi Access Points
Authors: García Baquerizo Juan Pablo , Suárez Alvaro , Macias Elsa , Salas Edgar
Published: November 2019

Wireless fidelity (WiFi) networks are deployed in several varied environments all around the World. Usually, the wireless fidelity access points are always on in houses and other small companies. In buildings of large companies and public organizations and in university campuses the number of access points is elevated; they are powered using power over the ethernet and are always on. Consequently, they consume a considerable amount of electric energy. The last versions of the International Electric and Electronic Engineers 802.11 standardized procedures to save energy in a wireless fidelity terminal but not in the access point. We designed a formal method to show when energy can be saved in wireless fidelity access points considering different power supplies for the access point: an electric energy battery and a standard voltage supply. We use an external battery that stores electric energy during an interval of time from a standard voltage supply (Charge period). After that interval (Discharge period), the energy supply for the access point is the external battery. Those intervals of time are repeated sequentially (Charge and Discharge cycles). We verified our formal model implementing a hardware circuit that controls the power supply for the access point. The amount of energy saving for a large number of of access points during a long period of time is considerably high.
Multi-Sensor Data Fusion in A Real-Time Support System for On-Duty Firefighters
Authors: Pham Van , Le Quang , Nguyen Duc , Dang Nhu , Huynh Huu , Tran Duc
Published: November 2019

While working on fire ground, firefighters risk their well-being in a state where any incident might cause not only injuries, but also fatality. They may be incapacitated by unpredicted falls due to floor cracks, holes, structure failure, gas explosion, exposure to toxic gases, or being stuck in narrow path, etc. Having acknowledged this need, in this study, we focus on developing an efficient portable system to detect firefighter’s falls, loss of physical performance, and alert high CO level by using a microcontroller carried by a firefighter with data fusion from a 3-DOF (degrees of freedom) accelerometer, 3-DOF gyroscope, 3-DOF magnetometer, barometer, and a MQ7 sensor using our proposed fall detection, loss of physical performance detection, and CO monitoring algorithms. By the combination of five sensors and highly efficient data fusion algorithms to observe the fall event, loss of physical performance, and detect high CO level, we can distinguish among falling, loss of physical performance, and the other on-duty activities (ODAs) such as standing, walking, running, jogging, crawling, climbing up/down stairs, and moving up/down in elevators. Signals from these sensors are sent to the microcontroller to detect fall, loss of physical performance, and alert high CO level. The proposed algorithms can achieve 100% of accuracy, specificity, and sensitivity in our experimental datasets and 97.96%, 100%, and 95.89% in public datasets in distinguishing between falls and ODAs activities, respectively. Furthermore, the proposed algorithm perfectly distinguishes between loss of physical performance and up/down movement in the elevator based on barometric data fusion. If a firefighter is unconscious following the fall or loss of physical performance, an alert message will be sent to their incident commander (IC) via the nRF224L01 module.
Securing IoT-Based RFID Systems: A Robust Authentication Protocol Using Symmetric Cryptography
Authors: Mansoor Khwaja , Ghani Anwar , Chaudhry Shehzad , Shamshirband Shahaboddin , Ghayyur Shahbaz , Mosavi Amir
Published: November 2019

Despite the many conveniences of Radio Frequency Identification (RFID) systems, the underlying open architecture for communication between the RFID devices may lead to various security threats. Recently, many solutions were proposed to secure RFID systems and many such systems are based on only lightweight primitives, including symmetric encryption, hash functions, and exclusive OR operation. Many solutions based on only lightweight primitives were proved insecure, whereas, due to resource-constrained nature of RFID devices, the public key-based cryptographic solutions are unenviable for RFID systems. Very recently, Gope and Hwang proposed an authentication protocol for RFID systems based on only lightweight primitives and claimed their protocol can withstand all known attacks. However, as per the analysis in this article, their protocol is infeasible and is vulnerable to collision, denial-of-service (DoS), and stolen verifier attacks. This article then presents an improved realistic and lightweight authentication protocol to ensure protection against known attacks. The security of the proposed protocol is formally analyzed using Burrows Abadi-Needham (BAN) logic and under the attack model of automated security verification tool ProVerif. Moreover, the security features are also well analyzed, although informally. The proposed protocol outperforms the competing protocols in terms of security.
In Silico Mapping of Essential Residues in the Catalytic Domain of PDE5 Responsible for Stabilization of Its Commercial Inhibitors
Authors: de Oliveira Ivan Pires , Lescano Caroline Honaiser , De Nucci Gilberto
Published: November 2019

Phosphodiesterase type 5 (PDE5) is an important enzyme associated with the hydrolysis of cyclic guanosine monophosphate (cGMP) to guanosine monophosphate (GMP). Due to the relevant role of second messenger cGMP as a mediator in many physiological processes, efforts have been converged to find a safe pharmacological approach, seeking a specific, selective and potent inhibitor of the PDE5 enzyme. There are five commercial drugs with potential for clinical use: tadalafil, sildenafil, avanafil, udenafil and vardenafil. Here, we applied molecular modeling to obtain different profiles of protein–ligand interactions by adopting distinct PDE5 structures, specifically PDBid:1XOZ and two extracted from molecular dynamics (MD) simulations. The results generated by molecular docking showed several possibilities for inhibitor interactions with the catalytic pocket. Tadalafil, sildenafil and vardenafil were clearly stabilized by Gln817 via a well-oriented hydrogen bond. Another set of different interactions, such as polar, hydrophobic, π-stacking, metal–ligand and electrostatic, were responsible for accommodating avanafil and udenafil. All of the ligands are discussed in detail with consideration of the distinct protein structures, and a profile of the probability of residue–ligand contact is suggested, with the most frequently observed being: Tyr612, His613, Ser661, Thr723, Asp724, Asp764, Leu765, Val782 and Phe786. The molecular interactions displayed herein confirm findings achieved by previous authors and also present new contacts. In addition, the discussion can help researchers obtain a molecular basis for planning new selective PDE5 inhibitors, as well as explain an inhibitor’s experimental assays by considering the specific interactions occurring at the catalytic site.
Testosterone and Cortisol Responses to HIIT and Continuous Aerobic Exercise in Active Young Men
Authors: Cofré-Bolados Cristian , Reuquen-López Patricia , Herrera-Valenzuela Tomas , Orihuela-Diaz Pedro , Garcia-Hermoso Antonio , Hackney Anthony C.
Published: November 2019

It is well known that physical exercise modifies plasma levels of testosterone and cortisol. However, the effect of high-intensity interval training (HIIT) on the plasma hormone levels is controversial. The aim of the study was to compare the effects of HIIT exercise or submaximal continuous aerobic exercise on circulating testosterone and cortisol levels in active male collegiate students. Methods: Thirteen moderately-active young adult males (20.2 (SD 2.1) years old) completed a HIIT (20 min of 15 s intervals of running at 110% of maximum oxygen consumption interspersed with 15 s of active rest at 40% of maximum oxygen consumption) and a continuous aerobic exercise (AEE) 20 min at 70–75% of maximum oxygen consumption. The mean total workload of both protocols was the same for each exercise session. Blood samples were collected pre-session (rest), immediately after the session (0 h), and 12 h post-session (12 h). Results: Both exercise protocols, similarly increased plasma levels of free testosterone immediately post-exertion (p < 0.05 AEE and p < 0.01 HIIT). No differences were observed between the conditions in the concentration of testosterone at 12 h. Cortisol level and Testosterone/Cortisol (T/C) ratio remained constant for all measurements, regardless of the type of exercise performed. Conclusion: The testosterone concentrations rose significantly post intervention in both HIIT and AEE condition, but 12 h post intervention there was no difference between conditions, decreasing to baseline (pre-intervention). The T/C ratio decreased significantly (below baseline) only in the HIIT condition 12 h post intervention.
Halophyte Common Ice Plants: A Future Solution to Arable Land Salinization
Authors: Loconsole Danilo , Murillo-Amador Bernardo , Cristiano Giuseppe , De Lucia Barbara
Published: November 2019

The problems associated with the salinization of soils and water bodies and the increasing competition for scarce freshwater resources are increasing. Current attempts to adapt to these conditions through sustainable agriculture involves searching for new highly salt-tolerant crops, and wild species that have potential as saline crops are particularly suitable. The common ice plant (Mesembryanthemum crystallinum L.) is an edible halophyte member of the Aizoaceae family, which switches from C3 photosynthesis to crassulacean acid metabolism (CAM) when exposed to salinity or water stress. The aim of this review was to examine the potential of using the ice plant in both the wild and as a crop, and to describe its ecology and morphology, environmental and agronomic requirements, and physiology. The antioxidant properties and mineral composition of the ice plant are also beneficial to human health and have been extensively examined.
Maize Open-Pollinated Populations Physiological Improvement: Validating Tools for Drought Response Participatory Selection
Authors: Leitão Susana T. , Ferreira Emanuel , Bicho M. Catarina , Alves Mara L. , Pintado Duarte , Santos Daniela , Mendes-Moreira Pedro , Araújo Susana S. , Costa J. Miguel , Vaz Patto Maria Carlota
Published: November 2019

Participatory selection—exploiting specific adaptation traits to target environments—helps to guarantees yield stability in a changing climate, in particular under low-input or organic production. The purpose of the present study was to identify reliable, low-cost, fast and easy-to-use tools to complement traditional selection for an effective participatory improvement of maize populations for drought resistance/tolerance. The morphological and eco-physiological responses to progressive water deprivation of four maize open-pollinated populations were assessed in both controlled and field conditions. Thermography and Chl a fluorescence, validated by gas exchange indicated that the best performing populations under water-deficit conditions were ‘Fandango’ and to a less extent ‘Pigarro’ (both from participatory breeding). These populations showed high yield potential under optimal and reduced watering. Under moderate water stress, ‘Bilhó’, originating from an altitude of 800 m, is one of the most resilient populations. The experiments under chamber conditions confirmed the existence of genetic variability within ‘Pigarro’ and ‘Fandango’ for drought response relevant for future populations breeding. Based on the easiness to score and population discriminatory power, the performance index (PIABS) emerges as an integrative phenotyping tool to use as a refinement of the common participatory maize selection especially under moderate water deprivation.
Habitat Analysis of Endangered Korean Long-Tailed Goral (Naemorhedus caudatus raddeanus) with Weather Forecasting Model
Authors: Lee Sanghun , Kim Baek-Jun , Bhang Kon Joon
Published: November 2019

Climate simulation is often used for evaluation of the sustainability of a species in global scale but not applicable for our study because the global data is too coarse to be used in small and fragmented habitat areas. We examined a weather forecasting model for the habitat analysis of the endangered species of the Korean long-tailed goral (Naemorhedus caudatus raddeanus). The weather research forecasting (WRF) model is implemented to downscale global climate data for a small fragmented habitat of the goral. The coordinates of goral fecal samples were collected during winter 2005 and summer 2006 using GPS and the goral habitat was set with the elevations of fecal samples mostly found. The atmospheric parameters of the habitat were then simulated by WRF and defined as the atmospheric signature of the goral suitable habitat. A series of temperature changes was then projected for the period from 2010s to 2090s to evaluate the change of the habitat for summer (June) and winter (December) seasons. As a result, the suitable habitat of the Korean long-tailed goral would be significantly declined and almost disappeared in the 2070s for summer or 2050s for winter under the climate scenarios of RCP 8.5 by IPCC.
Plural Inheritance Laws, Practices and Emergent Types of Property—Implications for Updating the Land Register
Authors: Abubakari Zaid , Richter Christine , Zevenbergen Jaap
Published: November 2019

Sustaining up-to-date land registers in the global south is an increasing concern for the protection of tenure, development of land markets and long-term sustainable planning practices and policy. It requires both the prompt reporting of land transfers and also an alignment between prevailing land rights and official recording systems. The literature on land registration highlights some effects of inheritance practices on the land register and land development. Taking these studies a step further, our research investigates how such effects evolve from the rules that guide inheritance practices using a qualitative research approach. We found that normative practices of inheritance mostly lead to communal property through numerous processes which have implications on the timing and likelihood of possible registration. Also, we found that the significance of land and buildings in the social context transcends the physical property per se and includes dimensions of spirituality and social identity. Our findings explain the misalignment between the official and social logics of property and suggest likelihood of non-reporting. We conclude that flexibility is required in recording communal rights in rural areas and that the transition to individual property is more likely in peri-urban and urban areas where the social logics of property have broken.
Visual Eye Gaze While Cycling: Analyzing Eye Tracking at Signalized Intersections in Urban Conditions
Authors: Rupi Federico , Krizek Kevin J.
Published: November 2019

The manner in which cyclists visually perceive elements of the urban environment plays an important role in bicycle crashes, which have been increasing in recent years. Yet, how visual information is processed by the user while riding a bike is still poorly analyzed by researchers. This study investigates cyclists’ eye gaze behavior at signalized intersections taking into account a set of gaze characteristics. Recording cyclist’s visual fixations by mobile-eye glasses in a real outdoor environment, a total of 13 field tests have been analyzed along a three-kilometer route in the urban center of Bologna, Italy. Findings reveal key differences in gaze behavior by experience level of the cyclist and type of intersection.
Improving the Professional Level of Managers Through Individualized Recommendation to Enhance the Quality of Air Pollutant Management in China
Authors: Xiao Xia , Qin Hanwen , Fu Huijuan , Zhang Chengde
Published: November 2019

With the rapid development of the economy, and fossil fuel consumption lacking systematic emission controls, China has experienced substantially elevated concentrations of air pollutants, which not only degrades regional air quality but also poses significant impacts on public health. However, faced with the demand for a large number of experts in air pollution protection, people with real expertise for air pollutant management are difficult to find. Therefore, individualized recommendation is an effective and sustainable method for enhancing the professional level of managers and is good for improving the quality of air pollutant management. Thus, this paper initially proposes a novel framework to recommend strengths in air pollutant management. This framework comprises four stages: data preprocessing is the first stage; then, after constructing ability classifications and ability assessment strategies, activity experiences are transformed into corresponding ability values; next, a multilayer perceptron deep neural network (MLP-DNN) is used to predict potential types according to their ability values; finally, a hybrid system is constructed to recommend suitable and sustainable potential managers for air pollutant management. The experiments indicate that the proposed method can assess the full picture of people’s strengths, which can recommend suggestions for building a scientific and rational specialties recommendation system for governments and schools. This method can have significant effects on pollutant emission reduction by enhancing the professional level of managers with regard to air pollutant management.
Energy Performance Certificates and Its Capitalization in Housing Values in Sweden
Authors: Wilhelmsson Mats
Published: November 2019

The impact on energy performance certificates on housing prices has been investigated extensively in recent years. However, the results of these investigations are mixed. We add to the literature by more specifically controlling for potential biases, by employing a combination of alternative approaches to estimate the causal relationship between house prices and energy performance certificates. We use a traditional hedonic modeling approach, but we additionally employ propensity score methods to be able to compare treated houses with a control group. We also investigate the impact of the outliers, spatial dependency, and parameter heterogeneity of our estimates. Moreover, we use the quantile regression technique to test the hypothesis that the capitalization effect varies across the price distribution. Our results, analyzing more than 100,000 observations, indicate there is an upward bias if one is not controlling for outlier and selection bias. Regardless of the propensity score method approach, the results are lower than a model (around 3 percent capitalization, compared to 6 percent). However, our results do not support that the impact of energy performance certificates varies in the price distribution. Consequently, the certificates are not differently capitalized in the high-end housing price segment. Finally, our results support the hypothesis that the energy performance certificate should be more capitalized into house prices in the northern and colder parts of Sweden than in the southern regions.
The Impact of Restaurant Social Media on Environmental Sustainability: An Empirical Study
Authors: Martínez-Navalón Juan Gabriel , Gelashvili Vera , Debasa Felipe
Published: November 2019

Social media is currently a powerful way for companies to keep in touch with their customers and promote new products. The main objective of this research paper is to analyze the impact of social media marketing on environmental sustainability in food and beverage service companies in Spain, taking customer satisfaction into account. The variables, such as customer trust, perceived value, and continuance intention, were also studied to determine whether they influence environmental sustainability. In order to achieve the stated objective, a questionnaire was created and the obtained data was analyzed using a PLS-SEM (partial least squares structural equation modeling) methodology. The main conclusion of this study is an important contribution to the academic literature and is also helpful for restaurant managers for planning communication strategies through social media, since environmental sustainability is one of the main concerns of the public.
The Customer Orientation of Salesperson for Performance in Korean Market Case: A Relationship between Customer Orientation and Adaptive Selling
Authors: Yeo Chankoo , Hur Chung , Ji Seonggoo
Published: November 2019

The role of the salesperson has been more highlighted in recent research for company profits and sustainable relationship with customers. This study attempts to classify sales behaviors into a conceptual structure of customer orientation and adaptive selling in order to examine the effect of the customer orientation and adaptive selling on organizational performance and sales performance. The study newly compares the relationship between salespeople’s customer orientation and adaptive selling in terms of the organizational aspect of the organizational delivering market value and the behavioral aspect of individual delivering. Results show that customer orientation affects adaptive selling behaviors of salespeople, and such behaviors affect the salespeople’s organizational identification and their sales performance. However, the effect of their organization identification on sales performance was not supported. This result suggests the need for educational programs which provide the salesperson with opportunities to understand customer-oriented organizational culture. In addition, such programs need to empower salespeople to develop positive corporate identities.
Examining the Impact of Innovation Forms on Sustainable Economic Performance: The Influence of Family Management
Authors: Martínez-Alonso Rubén , Martínez-Romero María J. , Rojo-Ramírez Alfonso A.
Published: November 2019

The aim of this research is to explore the effect that innovation, as a potential source of sustained competitive advantage and firm growth, has on the achievement of sustainable economic performance. In particular, this paper empirically examines the influence of four innovation forms (intramural R&D, extramural R&D, product innovation, and process innovation) on firms’ sustainable economic performance, considering the moderating effect of family involvement in management. To test the hypotheses, random-effects regression analyses are applied to a longitudinal sample of 598 Spanish private manufacturing firms throughout the 2006–2015 period. The results show a negative effect of intramural and extramural R&D on sustainable economic performance and a positive effect of process innovation on sustainable economic performance. Moreover, a reinforced relationship between process innovation and sustainable economic performance is also revealed when family involvement in management acts as a moderator. The findings make several contributions to research and practice.
Teachers’ Transgressive Pedagogical Practices in Context: Ecology, Politics, and Social Change
Authors: Condeza-Marmentini Antonia , Flores-González Luis
Published: November 2019

Chilean teachers face the urgent challenge of incorporating environmental and sustainability dimensions into their teaching practices within an economic and social context of extreme neoliberalism, which has an important impact on both teaching practices and hegemonic perspectives on the environment. Therefore, this article explores the motivations that guide the environment-related practices of teachers at Chilean secondary schools. Using a framework of pragmatism and phenomenology, it addresses teachers’ meaning-making through the interpretative axes of their views on the environment and theories of education, addressing the following categories: (1) connection and consciousness; (2) participation and politics; and (3) re-thinking education. The discussion emphasizes the importance of understanding “environmental issues” in context, together with the transversal axis of social change. Teachers’ meaning-making arises from their social and historical context and can be interpreted from the standpoint of traditions of thought originating in Latin America. The article argues that the transgressive element in the studied practices is social change, understood as community action arising from a combination of critical reflection and with an emphasis on the co-production of knowledge in this collective sphere. This is experienced by the teachers as a challenge to their capacity to address the inherent uncertainty of knowledge and the projection of a utopian society as a social right.
Older People, Mobility and Transport in Low- and Middle-Income Countries: A Review of the Research
Authors: Gorman Mark , Jones Sion , Turner Jeffrey
Published: November 2019

Older populations are rising globally, which in high-income countries has helped to generate a growing literature on the impact of ageing on travel requirements and transport policy. This article aims to provide an initial assessment of the state of knowledge on the impact on transportation policy and usage of the increasing numbers of older people in low- and middle-income countries (LAMICs), through a review of the literature relating to older people and transportation. As both the academic and policy/practice-related literature specifically addressing ageing and transport in LAMICs is limited, the study looks beyond transportation to assess the state of knowledge regarding the ways in which older people’s mobility is affected by issues, such as health, well-being, social (dis)engagement and gender. We find significant knowledge gaps, resulting in an evidence base to support the implementation of policy is lacking. Most research in low-income countries (LICs) is either broad quantitative analysis based on national survey data or small-scale qualitative studies. We conclude that, although study of the differing contexts of ageing in LAMICs as they relate to older people’s mobilities and transport use has barely begun, institutions which both make and influence policymaking recognise the existence of significant knowledge gaps. This should provide the context in which research agendas can be established.
Detection of Transcoding from H.264/AVC to HEVC Based on CU and PU Partition Types
Authors: Zhang Zhenzhen , Liu Changbo , Li Zhaohong , Yu Lifang , Yan Huanma
Published: November 2019

High Efficiency Video Coding (HEVC) is a worldwide popular video coding standard due to its high coding efficiency. To make profits, forgers prefer to transcode videos from previous standards such as H.264/AVC to HEVC. To deal with this issue, an efficient method is proposed to expose such transcoded HEVC videos based on coding unit (CU) and prediction unit (PU) partition types. CU and PU partitioning are two unique syntactic units of HEVC that can reflect a video’s compression history. In this paper, CU and PU partition types of I pictures and P pictures are firstly extracted. Then, their mean frequencies are calculated and concatenated as distinguishing features, which are further sent to a support vector machine (SVM) for classification. Experimental results show that the proposed method can identify transcoded HEVC videos with high accuracy and has strong robustness against frame-deletion and shifted Group of Pictures (GOP) structure attacks.
Short vs. Standard Length Cone Morse Connection Implants: An In Vitro Pilot Study in Low Density Polyurethane Foam
Authors: Comuzzi Luca , Tumedei Margherita , Piattelli Adriano , Iezzi Giovanna
Published: November 2019

The aim of the investigation was to evaluate the insertion torque, pull-out torque and implant stability quotient (ISQ) of short implants (SI) and standard length implants (ST) inserted into linearly elastic and constitutive isotropic symmetry polyurethane foam blocks. Short dental titanium implants with a Cone Morse connection and a conical shape (test implants: Test Implant A—diameter 5.5 mm and length 6 mm) (Test Implant B—diameter 5.5 mm and length 5 mm) were used for the present in vitro investigation. ST implants (4 mm diameter and 10 mm length), with a Cone Morse connection and a conical shape, were used as Control Implant A and as Control Implants B. These two latter implants had a different macro design. A total of 20 implants (5 Test A, 5 Test B, 5 Control A and 5 Control B) were used for the present research. The results were similar when comparing the Test A and Test B implants. The test implants had very good stability in polyurethane 14.88–29.76 kgm3 density blocks. The insertion torque values were very high for both types of test implant (25–32 Ncm on 14.88 kgm blocks, and up to 45 Ncm in 29.76 kgm3 blocks). The pull-out test values were very similar to the insertion torque values. The ISQ values were significantly high with 75–80 in 14.88 kgm3 blocks, and 78–83 in 29.76 kgm3 blocks. No differences were found in the values of the Control A and Control B implants. In both these implants, the insertion torque was quite low in the 14.88 kgm3 blocks (16–28 Ncm). Better results were found in the 29.76 kgm3 blocks. The pull-out values for these control implants were slightly lower than the insertion torque values. High ISQ values were found in both control implants (57–80). When comparing SI and ST implants, the SI had a similar if not better performance in low quality polyurethane foam blocks (14.88–29.76 kgm), corresponding to D3 and D4 bone.
Histological Evaluation of a New Beta-Tricalcium Phosphate/Hydroxyapatite/Poly (1-Lactide-Co-Caprolactone) Composite Biomaterial in the Inflammatory Process and Repair of Critical Bone Defects
Authors: Martinez Elizabeth Ferreira , Rodrigues Ana Elisa Amaro , Teixeira Lucas Novaes , Esposito Andrea Rodrigues , Cabrera Walter Israel Rojas , Demasi Ana Paula Dias , Passador-Santos Fabricio
Published: November 2019

Background: The use of biomaterials is commonplace in dentistry for bone regeneration. The aim of this study was to evaluate the performance of a new alloplastic material for bone repair in critical defects and to evaluate the extent of the inflammatory process. Methods: Forty-five New Zealand rabbits were divided into five groups according to evaluation time (7, 14, 30, 60, 120 days), totaling 180 sites with six-millimeter diameter defects in their tibiae. The defects were filled with alloplastic material consisting of poly (lactide-co-caprolactone), beta-tricalcium phosphate, hydroxyapatite and nano-hydroxyapatite (BTPHP) in three different presentations: paste, block, and membrane. Comparisons were established with reference materials, such as Bio-ossTM, Bio-oss CollagenTM, and Bio-gideTM, respectively. The samples were HE-stained and evaluated for inflammatory infiltrate (scored for intensity from 0 to 3) and the presence of newly formed bone at the periphery of the defects. Results: Greater bone formation was observed for the alloplastic material and equivalent inflammatory intensity for both materials, regardless of evaluation time. At 30 days, part of the synthetic biomaterial, regardless of the presentation, was resorbed. Conclusions: We concluded that this novel alloplastic material showed osteoconductive potential, biocompatibility, low inflammatory response, and gradual resorption, thus an alternative strategy for guided bone regeneration.
The Symmetric Key Equation for Reed–Solomon Codes and a New Perspective on the Berlekamp–Massey Algorithm
Authors: Bras-Amorós Maria , O’Sullivan Michael E.
Published: November 2019

This paper presents a new way to view the key equation for decoding Reed–Solomon codes that unites the two algorithms used in solving it—the Berlekamp–Massey algorithm and the Euclidean algorithm. A new key equation for Reed–Solomon codes is derived for simultaneous errors and erasures decoding using the symmetry between polynomials and their reciprocals as well as the symmetries between dual and primal codes. The new key equation is simpler since it involves only degree bounds rather than modular computations. We show how to solve it using the Euclidean algorithm. We then show that by reorganizing the Euclidean algorithm applied to the new key equation we obtain the Berlekamp–Massey algorithm.
Residual Symmetries and Bäcklund Transformations of Strongly Coupled Boussinesq–Burgers System
Authors: Wang Haifeng , Zhang Yufeng
Published: November 2019

In this article, we construct a new strongly coupled Boussinesq–Burgers system taking values in a commutative subalgebra Z 2 . A residual symmetry of the strongly coupled Boussinesq–Burgers system is achieved by a given truncated Painlevé expansion. The residue symmetry with respect to the singularity manifold is a nonlocal symmetry. Then, we introduce a suitable enlarged system to localize the nonlocal residual symmetry. In addition, a Bäcklund transformation is obtained with the help of Lie’s first theorem. Further, the linear superposition of multiple residual symmetries is localized to a Lie point symmetry, and a N-th Bäcklund transformation is also obtained.
Dominant Factors for an Effective Selection System: An Australian Education Sector Perspective
Authors: Rozario Sophia Diana , Venkatraman Sitalakshmi , Chu Mei-Tai , Abbas Adil
Published: November 2019

With the latest advancements in information technologies, many organisations expect systems to provide effective support in the recruitment process and decision making. However, there is a lack of clarity on the dominant factors required for an effective recruitment system which can influence business outcomes. This paper aimed to identify the predominant factors in the employee selection process and the use of a management system for decision support. The empirical study consisted of a qualitative survey of 74 samples and a quantitative survey of 204 individual participants from 17 organisations coming from technical and further education (TAFE)/dual education (higher education and vocational education) sector members of the Victorian TAFE Association in Australia. Using commonly adopted exploratory factor analysis (EFA) of 38 variables, the data triangulation of the qualitative and quantitative analysis resulted in conformance of five dominant factors under three themes. We believe the results of the study offer actionable suggestions in developing an effective recruitment system and furthers the research in this field of study.
Advanced Coatings by Thermal Spray Processes
Authors: Joshi Shrikant , Nylen Per
Published: November 2019

Coatings are pivotal in combating problems of premature component degradation in aggressive industrial environments and constitute a strategic area for continued development. Thermal spray (TS) coatings offer distinct advantages by combining versatility, cost-effectiveness, and the ability to coat complex geometries without constraints of other in-chamber processes. Consequently, TS techniques like high-velocity oxy-fuel (HVOF) and atmospheric plasma spray (APS) are industrially well-accepted. However, they have reached limits of their capabilities while expectations from coatings progressively increase in pursuit of enhanced efficiency and productivity. Two emerging TS variants, namely high-velocity air-fuel (HVAF) and liquid feedstock thermal spraying, offer attractive pathways to realize high-performance surfaces superior to those hitherto achievable. Supersonic HVAF spraying provides highly adherent coatings with negligible porosity and its low processing temperature also ensures insignificant thermal ‘damage’ (oxidation, decarburization, etc.) to the starting material. On the other hand, liquid feedstock derived TS coatings, deposited using suspensions of fine particles (100 nm–5 µm) or solution precursors, permits the production of coatings with novel microstructures and diverse application-specific architectures. The possibility of hybrid processing, combining liquid and powder feedstock, provides further opportunities to fine tune the properties of functional surfaces. These new approaches are discussed along with some illustrative examples.