bluuebunny/crossref_metadata_2025 huggingface dataset:
Cyclodextrin-Based Metal-Organic Frameworks (CD-MOFs) in Pharmaceutics and Biomedicine
Authors: Han Yaoyao , Liu Weicong , Huang Jianjing , Qiu Shuowen , Zhong Huarui , Liu Dong , Liu Jianqiang
Published: December 2018

Metal-organic frameworks (MOFs) show promising application in biomedicine and pharmaceutics owing to their extraordinarily high surface area, tunable pore size, and adjustable internal surface properties. However, MOFs are prepared from non-renewable or toxic materials, which limit their real-world applications. Cyclodextrins (CDs) are a typical natural and biodegradable cyclic oligosaccharide and are primarily used to enhance the aqueous solubility, safety, and bioavailability of drugs by virtue of its low toxicity and highly flexible structure, offering a peculiar ability to form CD/drug inclusions. A sophisticated strategy where CD is deployed as a ligand to form an assembly of cyclodextrin-based MOFs (CD-MOFs) may overcome real-world application drawbacks of MOFs. CD-MOFs incorporate the porous features of MOFs and the encapsulation capability of CD for drug molecules, leading to outstanding properties when compared with traditional hybrid materials. This review focuses on the inclusion technology and drug delivery properties associated with CD-MOFs. In addition, synthetic strategies and currently developed uses of CD-MOFs are highlighted as well. Also, perspectives and future challenges in this rapidly developing research area are discussed.
Terahertz Polarization Imaging and Its Applications
Authors: Watanabe Shinichi
Published: December 2018

This review focuses on several recent research activities regarding precise and fast polarization-sensitive terahertz time-domain spectroscopy systems for imaging purposes, and explains three interesting application examples. Owing to modulation techniques that have recently been developed for the evaluation of the instantaneous terahertz electric-field (E-field) vector, fast and precise terahertz polarization imaging becomes feasible. This terahertz technology enables high-resolution surface topography, precise understanding of the spatial E-field vector distribution of the focused terahertz pulse, and examination of strain-induced birefringence in polymeric materials. These examples constitute a new application area of terahertz photonics with emphasis on both fundamental optics and industrial applications.
Spherical Polybutylene Terephthalate (PBT)—Polycarbonate (PC) Blend Particles by Mechanical Alloying and Thermal Rounding
Authors: Dechet Maximilian A. , Gómez Bonilla Juan S. , Lanzl Lydia , Drummer Dietmar , Bück Andreas , Schmidt Jochen , Peukert Wolfgang
Published: December 2018

In this study, the feasibility of co-grinding and the subsequent thermal rounding to produce spherical polymer blend particles for selective laser sintering (SLS) is demonstrated for polybutylene terephthalate (PBT) and polycarbonate (PC). The polymers are jointly comminuted in a planetary ball mill, and the obtained product particles are rounded in a heated downer reactor. The size distribution of PBT–PC composite particles is characterized with laser diffraction particle sizing, while the shape and morphology are investigated via scanning electron microscopy (SEM). A thorough investigation and characterization of the polymer intermixing in single particles is achieved via staining techniques and Raman microscopy. Furthermore, polarized light microscopy on thin film cuts enables the visualization of polymer mixing inside the particles. Trans-esterification between PBT and PC during the process steps is investigated via vibrational spectroscopy and differential scanning calorimetry (DSC). In this way, a new process route for the production of novel polymer blend particle systems for SLS is developed and carefully analyzed.
Numerical Simulations of Dynamic Pipeline-Vessel Response on a Deepwater S-Laying Vessel
Authors: Zan Yingfei , Yuan Lihao , Huang Kuo , Ding Song , Wu Zhaohui
Published: December 2018

The dynamic action induced on offshore pipelines by deepwater S-laying is significant, and directly determines how the pipeline structures are designed and installed. Existing research has not fully investigated the benefits of coupling models of pipeline and pipelaying vessel motions. Therefore, this paper presents a coupled time-domain numerical model for examining the effect of coupled dynamic reactions. The coupled model takes into account the motion of the pipelaying vessel, surface waves, ocean currents, wind forces, pipeline dynamics, and contact between the rollers and the pipeline. A proportional, integral, derivative (PID) controller was used for simulating the control of the pipelaying vessel. The hydrodynamic forces that the pipeline experiences were modeled using the Morison equation. The model was solved using Newmark’s method and verified using OrcaFlex software. The model was then used to analyze practical operations: the laying of a 22″ gas export pipeline on the seabed by the pipelaying vessel HYSY201 in the Pingbei-Huangyan gas fields in the East China Sea. The effects of coupled factors on pipelaying vessel motions and pipeline dynamics were approximated. These effects included configurations, axial tensions, and bending moments. The results show a significant connection between the dynamic responses of the pipelines and pipelaying vessel motions.
Reimagining Religious Education for Young, Black, Christian Women: Womanist Resistance in the Form of Hip-Hop
Authors: Henry Tamara
Published: December 2018

How might the black church and womanist scholarship begin to re-imagine religious education in ways that attends more deliberately to the unique concerns and interests of younger black, Christian women? Throughout the history of the black church, despite being marginalized or silenced within their varied denominations, black women have been key components for providing the religious education within their churches. However, today, in many church communities, we are seeing a new, emerging trend whereby young, black, Christian women are opting out of traditional approaches to religious education. They view contemporary church education as insufficient to address their contrasting range of real-life difficulties and obstacles. Instead, these young women have been turning to the work of contemporary black female hip-hop artists as a resource for religious and theological reflection. Drawing from focus groups conducted with young black female seminarians and explored through the lens of womanist theory, I argue this trend is forming a new, legitimate type of religious education where the work of artists such as Beyoncé and Solange are framing an unrecognized womanist, spirituality of resistance for young black women. Both religious educators and womanist scholars need to pay attention to this overlooked, emerging trend. Respectively, I suggest religious education and womanist scholarship would benefit by considering new resources for religious, theological, and pedagogical reflection, one that is emerging out of young black women’s engagement with the art and music of specific black female artists within hip-hop.
Machine Hearts and Wandering Spirits in Nietzsche and Zhuangzi
Authors: Froese Katrin
Published: December 2018

Both Nietzsche and Zhuangzi spurn the boundaries of human convention and traditional authority and maintain that the ego-self, based on the internalization of external norms is its unwelcome byproduct. In an attempt to counteract this, these thinkers espouse a wandering approach to existence, which would affirm the existence of the variegated and perpetually evolving cosmos and help to undo the often pernicious effects of the objectification of language. Paradoxically, they maintain that a deep connection to other beings and the natural world necessitates a willingness to embrace solitude and also the dissolution of the self.
The Value of a Properly Maintained Hiking Trail Network and a Traditional Landscape for Mountain Recreation in the Dolomites
Authors: Tempesta Tiziano , Vecchiato Daniel
Published: December 2018

Alpine mountains represent one of the most important tourist destinations in the world, constituting approximately 3.1% of the global tourism market when considering the tourist flows coming from abroad. While there may be numerous factors that motivate tourists to choose rural areas, an important role is played by the opportunity to visit well-conserved landscapes and uncontaminated natural areas. The purpose of this study was to make a monetary valuation of the social benefits generated by the adoption of three measures of the Rural Development Plan (RDP) of Veneto (Italy) aimed specifically at enhancing the recreational usability of the mountain territory. In this regard, a discrete choice experiment (DCE) was applied for the economic valuation, and a qualitative survey was used to collect the opinion of respondents related to the measures to protect the meadows and mountain hiking trails. According to the DCE estimates, on average, the benefits due to the conservation of the existing meadows and pastures was equal to €851 per hectare, those due to the conservation and improvement of the trail network were €12,260 per km, and the benefits due to the recovery of the meadows and pastures of uncultivated and abandoned areas for naturalistic purposes amounted to €6852 per hectare. Comparing the estimates obtained with the expenditure incurred by the RDP to finance the three actions considered in our DCE, it can be seen that the benefits are considerably higher than the costs, especially with regard to the conservation of paths and the recovery of abandoned areas for naturalistic purposes.
Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City
Authors: Misra Prakhar , Avtar Ram , Takeuchi Wataru
Published: December 2018

Vertical urban growth in the form of urban volume or building height is increasingly being seen as a significant indicator and constituent of the urban environment. Although high-resolution digital surface models can provide valuable information, various places lack access to such resources. The objective of this study is to explore the feasibility of using open digital surface models (DSMs), such as the AW3D30, ASTER, and SRTM datasets, for extracting digital building height models (DBHs) and comparing their accuracy. A multidirectional processing and slope-dependent filtering approach for DBH extraction was used. Yangon was chosen as the study location since it represents a rapidly developing Asian city where urban changes can be observed during the acquisition period of the aforementioned open DSM datasets (2001–2011). The effect of resolution degradation on the accuracy of the coarse AW3D30 DBH with respect to the high-resolution AW3D5 DBH was also examined. It is concluded that AW3D30 is the most suitable open DSM for DBH generation and for observing buildings taller than 9 m. Furthermore, the AW3D30 DBH, ASTER DBH, and SRTM DBH are suitable for observing vertical changes in urban structures.
Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations
Authors: Tauro Flavia , Tosi Fabio , Mattoccia Stefano , Toth Elena , Piscopia Rodolfo , Grimaldi Salvatore
Published: December 2018

Nonintrusive image-based methods have the potential to advance hydrological streamflow observations by providing spatially distributed data at high temporal resolution. Due to their simplicity, correlation-based approaches have until recent been preferred to alternative image-based approaches, such as optical flow, for camera-based surface flow velocity estimate. In this work, we introduce a novel optical flow scheme, optical tracking velocimetry (OTV), that entails automated feature detection, tracking through the differential sparse Lucas-Kanade algorithm, and then a posteriori filtering to retain only realistic trajectories that pertain to the transit of actual objects in the field of view. The method requires minimal input on the flow direction and camera orientation. Tested on two image data sets collected in diverse natural conditions, the approach proved suitable for rapid and accurate surface flow velocity estimations. Five different feature detectors were compared and the features from accelerated segment test (FAST) resulted in the best balance between the number of features identified and successfully tracked as well as computational efficiency. OTV was relatively insensitive to reduced image resolution but was impacted by acquisition frequencies lower than 7–8 Hz. Compared to traditional correlation-based techniques, OTV was less affected by noise and surface seeding. In addition, the scheme is foreseen to be applicable to real-time gauge-cam implementations.
Time Tracking of Different Cropping Patterns Using Landsat Images under Different Agricultural Systems during 1990–2050 in Cold China
Authors: Pan Tao , Zhang Chi , Kuang Wenhui , De Maeyer Philippe , Kurban Alishir , Hamdi Rafiq , Du Guoming
Published: December 2018

Rapid cropland reclamation is underway in Cold China in response to increases in food demand, while the lack analyses of time series cropping pattern mappings limits our understanding of the acute transformation process of cropland structure and associated environmental effects. The Cold China contains different agricultural systems (state and private farming), and such systems could lead to different cropping patterns. So far, such changes have not been revealed yet. Based on the Landsat images, this study tracked cropping information in five-year increments (1990–1995, 1995–2000, 2000–2005, 2005–2010, and 2010–2015) and predicted future patterns for the period of 2020–2050 under different agricultural systems using developed method for determining cropland patterns. The following results were obtained: The available time series of Landsat images in Cold China met the requirements for long-term cropping pattern studies, and the developed method exhibited high accuracy (over 91%) and obtained precise spatial information. A new satellite evidence was observed that cropping patterns significantly differed between the two farm types, with paddy field in state farming expanding at a faster rate (from 2.66 to 68.56%) than those in private farming (from 10.12 to 34.98%). More than 70% of paddy expansion was attributed to the transformation of upland crop in each period at the pixel level, which led to a greater loss of upland crop in state farming than private farming (9505.66 km2 vs. 2840.29 km2) during 1990–2015. Rapid cropland reclamation is projected to stagnate in 2020, while paddy expansion will continue until 2040 primarily in private farming in Cold China. This study provides new evidence for different land use change pattern mechanisms between different agricultural systems, and the results have significant implications for understanding and guiding agricultural system development.
Evaluation and Hydrological Utility of the Latest GPM IMERG V5 and GSMaP V7 Precipitation Products over the Tibetan Plateau
Authors: Lu Dekai , Yong Bin
Published: December 2018

Satellite precipitation products provide alternative precipitation data in mountain areas. This study aimed to assess the performance of the latest Global Precipitation Measurement (GPM) Integrated Multi-satellite Retrievals for GPM (IMERG) version 5 (IMERG V5) and Global Satellite Mapping of Precipitation version 7 (GSMaP V7) products and their hydrological utilities over the Tibetan Plateau (TP). Here, two IMERG Final Run products (uncalibrated IMERG (IMERG-UC) and gauge-calibrated IMERG (IMEEG-C)) and two GSMaP products (GSMaP Moving Vector with Kalman Filter (GSMaP-MVK) and gauge-adjusted GSMaP (GSMaP-Gauge)) were evaluated from April 2014 to March 2017. Results show that all four satellite precipitation products could generally capture the spatial patterns of precipitation over the TP. The two gauge-adjusted products were more consistent with the ground measurements than the satellite-only products in terms of statistical assessment. For hydrological simulation, IMERG-UC and GSMaP-MVK showed unsatisfactory performance for hydrological utility, while GSMaP-Gauge demonstrated comparable performance with gauge reference data, suggesting that GSMaP-Gauge can be selected for hydrological application in the TP. Our study also indicates that accurately measuring light rainfall and winter snow is still a challenging task for the current satellite precipitation retrievals.
Beacons and BIM Models for Indoor Guidance and Location
Authors: Ferreira Joao C. , Resende Ricardo , Martinho Stuart
Published: December 2018

This research work uses a simplified approach to combine location information from a beacon’s propagation signal interaction with a mobile device sensor (accelerometer and gyroscope) with local building information to give real-time location and guidance to a user inside a building. This is an interactive process with visualisation information that can help user’s orientation inside unknown buildings and the data stored from different users can provide useful information about users’ movements inside a public building. Beacons installed on the building at specific pre-defined positions emit signals that give a geographic position with an associated imprecision, related with Bluetooth’s range. This uncertainty is handled by building layout and users’ movement in a developed system that maps users’ position, gives guidance, and stores user movements. This system is based on an App (Find Me!) for Android OS (Operating System) which captures the Bluetooth Low Energy (BLE) signal coming from the beacon(s) and shows, through a map, the location of the user’s smartphone and guide him to the desired destination. Also, the beacons can deliver relevant context information. The application was tested by a panel of new and habitual campus users against traditional wayfinding alternatives yielding navigation times about 30% smaller, respectively.
Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization †
Authors: Martín-Nieto Rafael , García-Martín Álvaro , Martínez José M. , SanMiguel Juan C.
Published: December 2018

Finding optimal parametrizations for people detectors is a complicated task due to the large number of parameters and the high variability of application scenarios. In this paper, we propose a framework to adapt and improve any detector automatically in multi-camera scenarios where people are observed from various viewpoints. By accurately transferring detector results between camera viewpoints and by self-correlating these transferred results, the best configuration (in this paper, the detection threshold) for each detector-viewpoint pair is identified online without requiring any additional manually-labeled ground truth apart from the offline training of the detection model. Such a configuration consists of establishing the confidence detection threshold present in every people detector, which is a critical parameter affecting detection performance. The experimental results demonstrate that the proposed framework improves the performance of four different state-of-the-art detectors (DPM , ACF, faster R-CNN, and YOLO9000) whose Optimal Fixed Thresholds (OFTs) have been determined and fixed during training time using standard datasets.
Towards Efficient Implementation of an Octree for a Large 3D Point Cloud
Authors: Han Soohee
Published: December 2018

The present study introduces an efficient algorithm to construct a file-based octree for a large 3D point cloud. However, the algorithm was very slow compared with a memory-based approach, and got even worse when using a 3D point cloud scanned in longish objects like tunnels and corridors. The defects were addressed by implementing a semi-isometric octree group. The approach implements several semi-isometric octrees in a group, which tightly covers the 3D point cloud, though each octree along with its leaf node still maintains an isometric shape. The proposed approach was tested using three 3D point clouds captured in a long tunnel and a short tunnel by a terrestrial laser scanner, and in an urban area by an airborne laser scanner. The experimental results showed that the performance of the semi-isometric approach was not worse than a memory-based approach, and quite a lot better than a file-based one. Thus, it was proven that the proposed semi-isometric approach achieves a good balance between query performance and memory efficiency. In conclusion, if given enough main memory and using a moderately sized 3D point cloud, a memory-based approach is preferable. When the 3D point cloud is larger than the main memory, a file-based approach seems to be the inevitable choice, however, the semi-isometric approach is the better option.
Connection of the SUMO Microscopic Traffic Simulator and the Unity 3D Game Engine to Evaluate V2X Communication-Based Systems
Authors: Olaverri-Monreal Cristina , Errea-Moreno Javier , Díaz-Álvarez Alberto , Biurrun-Quel Carlos , Serrano-Arriezu Luis , Kuba Markus
Published: December 2018

In-vehicle applications that are based on Vehicle-to-Everything (V2X) communication technologies need to be evaluated under lab-controlled conditions before performing field tests. The need for a tailored platform to perform specific research on the cooperative Advanced Driving Assistance System (ADAS) to assess the effect on driver behavior and driving performance motivated the development of a driver-centric traffic simulator that is built over a 3D graphics engine. The engine creates a driving situation as it communicates with a traffic simulator as a means to simulate real-life traffic scenarios. The TraCI as a Service (TraaS) library was implemented to perform the interaction between the driver-controlled vehicle and the Simulation of Urban MObility (SUMO). An extension of a previous version, this work improves simulation performance and realism by reducing computational demand and integrating a tailored scenario with the ADAS to be tested. The usability of the implemented simulation platform was evaluated by means of an experiment related to the efficiency of a Traffic Light Assistant (TLA), showing the analysis of the answer that 80% of the participants were satisfied with the simulator and the TLA system implemented.
Security Cost Aware Data Communication in Low-Power IoT Sensors with Energy Harvesting
Authors: Fang Xiaolin , Yang Ming , Wu Wenjia
Published: December 2018

Security is a critical concern in low-power IoT (Internet of Things) wireless sensors because these resource constrained devices are easy to attack and meanwhile the energy constraint sensors will consume a lot of energy to run algorithms for security purposes. We study the energy efficiency data transmission problem in IoT sensors that use capacitors to harvest wireless energy while considering the energy cost for running security algorithms. Energy harvesting with capacitors has the characteristic that the energy harvesting rate varies over time, and it is getting slower and slower as the capacitor gets more and more wireless energy. This observation will result in a trade-off for data transmission in two ways: (1) dividing data into more number of packets, thus the sensors can receive wireless energy at a higher harvesting rate, but it will result in extra energy consumption; (2) dividing data into less numbers of packets—in this way, the sensor cannot utilize the high harvesting rate, but the extra energy cost is less. We studied two sets of this problem where the low-power sensors can harvest enough wireless energy or not, and give algorithms to transmit all the data or as much data as possible, respectively, while taking into account extra cost. The theoretical performance of the proposed algorithms is also analyzed. Both theoretical analysis and extensive simulations show that the proposed algorithms have good performance.
Lalla Fatma N’Soumer (1830–1863): Spirituality, Resistance and Womanly Leadership in Colonial Algeria
Authors: Touati Samia
Published: December 2018

Lalla Fatma N’Soumer (1830–1863) is one of the major heroines of Algerian resistance to the French colonial enterprise in the region of Kabylia. Her life and personality have been surrounded by myths and mysteries. Although her name is mentioned in colonial chronicles recording the conquest of Algeria, her exact role in leading a movement of local resistance to the French army doesn’t seem to be very clear. This paper aims at shedding light on this exceptional Berber woman through the analysis of French colonial sources describing these military campaigns—despite their obvious bias—and later secondary sources. This paper focuses on the spiritual dimension which has been somehow overlooked in the existing literature. It precisely describes her family background whereby her ancestry goes back to a marabout lineage affiliated with the Raḥmāniyya sufi order. It argues that her level of education in spiritual and religious matters was probably higher than what had been so far assumed. This article discusses how this spiritual aspect helps explain the tremendous popularity she enjoyed among her people in Kabylia, where she has been considered almost a saint.
Cluster Analysis of Pakistani Terrorism Events to Support Counterterrorism
Authors: Mahmood Tariq , Rohail Khadija , Khan Khalid
Published: December 2018

The frequency of terrorist events in Pakistan has increased considerably in the past several years. These events are frequent and not random, making it important to identify useful patterns in their occurrences to assist counterterrorism organizations. In this paper, we conducted such an analytical activity for the first time in Pakistan. We acquired data of terrorist events from reliable online sources and applied data preprocessing techniques followed by cluster analysis. Based on statistical correlation, we discovered clusters over the following combinations: (1) “Event of Terrorism—Target of Terrorism”; and (2) “Event of Terrorism—Method of Terrorism”. A more significant clustering is one which groups distinct combinations into separate clusters. We analyzed these clusters along three dimensions: (1) Annually for the time period 1988–2012; (2) for each Pakistani province; and (3) for different types of terrorist events. We also proposed a statistic for gauging the intensity of terrorism and analyzed it along the same three dimensions. Our results were extensive, but generally indicated significant Event–Target and Event–Method clusters, as well as increasing and decreasing trends in terrorism intensity. These can assist counterterrorism authorities in thwarting future attacks and arresting the responsible criminals.
Influence of Resistance Exercise on Appetite and Affect Following Pre-Sleep Feeding
Authors: Madzima Takudzwa A. , Black Jonas R. , Melanson Jared T. , Nepocatych Svetlana , Hall Eric E.
Published: December 2018

To determine changes in appetite, affect and cortisol in response to an acute bout of resistance exercise (RE) the morning after consuming whey (WP) and casein (CP) protein and a non-caloric placebo (PLA) consumed pre-sleep, 14 active men (n = 5) and women (n = 9) consumed a single dose of 24 g WP, 48 g WP, 24 g CP, 48 g CP, or PLA 30 min pre-sleep. Prior to and immediately after RE, appetite, affect and cortisol were assessed. Significant time effects were observed for Energetic Arousal and Tense Arousal (p = 0.017) and Feeling Scale and Felt Arousal Scale (p < 0.001). Appetite did not change over time or condition. Cortisol levels increased after RE (p = 0.007). Pre-RE, Tense Arousal was correlated with hunger (r = 0.25, p = 0.047) and desire to eat (r = 0.35, p = 0.005). Post-RE, cortisol was found to be significantly related to Feeling Scale (r = 0.32, p = 0.018), Felt Arousal Scale (r = 0.33, p = 0.015) and Energetic Arousal (r = 0.32, p = 0.018). Varying doses of WP and CP pre-sleep did not have an effect on morning appetite and cortisol, but cortisol was found to be related to affect and appetite.
Comparative Analysis of Load Profile between Small-Sided Games and Official Matches in Youth Soccer Players
Authors: Gómez-Carmona Carlos , Gamonales José , Pino-Ortega José , Ibáñez Sergio
Published: December 2018

The purposes of the present study are: (a) to characterize the external (eTL) and internal load (iTL) of official matches and small-sided games (SSGs) in relation to their objective, (b) to compare demands between SSG, and (c) to analyze the SSG requirements in relation to official matches during a one-month competition period. Twenty under-18 national-level soccer players were recorded using WIMUTM inertial devices (RealTrack Systems, Almeria, Spain) during four official matches and 12 training sessions where four SSGs with different objectives were performed: (SSG1) keeping the ball; (SSG2) keeping the ball and progressing; (SSG3) keeping the ball, progressing and ending in mini-goals; and (SSG4) keeping the ball, progressing and ending in an official goal with a goalkeeper. Statistical analysis included Kruskall-Wallis’ H and Mann-Whitney’s U with Cohen’s d effect size. The SSGs presented walking and jogging intensity movements (0.7–7 to 7–14 km/h), with a 5-to-8 %HIA (high intensity activity, >16 km/h), where low intensity accelerations, decelerations and impacts were predominant (1–2.5 m/s2; 5–7 G), and %HRMAX (maximum heart rate percentage) was between 70–90%. Only SSG4 presented similar demands to competition, finding differences between SSGs (p < 0.05; d = 1.40 − 0.36). In conclusion, the objective of the SSGs directly influenced the demands on the players in training sessions. For this reason, it is important to monitor demands for designing specific training sessions.
Sustainable Development, Poverty, and Risk of Exclusion for Young People in the European Union: The Case of NEETs
Authors: Ruesga-Benito Santos Miguel , González-Laxe Fernando , Picatoste Xose
Published: December 2018

The difficulties of access to the labor market remains in the post-crisis period, particularly for younger people and for those countries more affected by the crisis. The economic conditions with the precariousness of the labor market and higher unemployment taxes for youth, draws a scenario where the risk of poverty and social exclusion could influence young people and discourage them from social and economic participation, and thus the number of young people not in employment, education, or training (NEETs) will increase. The sustainable development in general and the social sustainability in particular needs to solve this important issue to get a balanced and fair social and economic scenario. In this work, the influence of socio economic variables related to the level of prosperity of the country and social protection as well as the risk of poverty and social exclusion on young NEETs is evaluated based on the EUROSTAT data for the year, 2016, for young people. The method was a structural equations model and the results confirm that the key important factors for explaining the situation of the NEETs’ are more related to poverty and exclusion than to the economic environment. The main conclusion from these results is the importance of implementing some inclusive actions to prevent an increase in the number of young NEETs, and boosting, in this way, a more balanced and sustainable society.
Slag and Activator Chemistry Control the Reaction Kinetics of Sodium Metasilicate-Activated Slag Cements
Authors: Criado Maria , Walkley Brant , Ke Xinyuan , Provis John L. , Bernal Susan A.
Published: December 2018

The reaction kinetics of four commercial ground granulated blast furnace slags with varying percentages of MgO (6 to 14 wt.%), activated with four different doses of sodium metasilicate, were evaluated using isothermal calorimetry. The reaction kinetics were strongly dependent on the dose of the alkaline activator used, and the chemical and physical properties of the slag. When using low concentrations of sodium metasilicate as an activator, the MgO content in the slag influences the kinetics of the reaction, while the CaO content plays a more significant role when the concentration of metasilicate is increased. This study elucidated a close relationship between the dose of the alkali-activator and the chemistry of the slag used, although it was not possible to identify a clear correlation between any of the published chemically-based “slag quality moduli” and the calorimetry results, highlighting the complexity of blast furnace slag glass chemistry, and the importance of the physical properties of the slag in defining its reactivity.
Strategic Cross-Border Water Pollution in Songliao Basin
Authors: Yu Guanyi , Xiu Chunliang , Zhao Changsong , Ding Zhengliang
Published: December 2018

This paper studies the two-fold impacts of environment regulation related to local officer promotion and water quality assessment of cross-border sections within the framework of the 11th Five-Year Plan. We employ the difference-in-difference (DID) and difference-in-difference-in-difference (DDD) models to a unique dataset on water polluting activities in Songliao Basin counties from 2003 to 2009. Empirical results show that on one hand, regulation and water pollution are negatively correlated, the stricter the regulation is, the less water pollution happens. On the other hand, as no explicit accountability and synergetic governance system were set up by the 11th Five-Year Plan, prefecture-level municipal governments tend to exert the least enforcement efforts in the most downstream counties. We find the evidence of strategic water polluting that the overall output value, new entry into and old business water polluting industries are significantly higher in the most downstream county of a prefecture-level city, relative to other similar counties.
Landscape Agroecology. The Dysfunctionalities of Industrial Agriculture and the Loss of the Circular Bioeconomy in the Barcelona Region, 1956–2009
Authors: Cattaneo Claudio , Marull Joan , Tello Enric
Published: December 2018

The paper analyses how between 1956 and 2009 the agrarian metabolism of the Barcelona Metropolitan Region (BMR) has become less functional, losing circularity in biomass flows and in relationship to its landscape. We do so by adopting a Multi-Energy Return on Investment (EROI) and flow-fund (MuSIASEM) analyses and the nexus with landscape functional structure. The study of agricultural flows of Final Produce, Biomass Reused and External Inputs is integrated with that of land use, livestock, power capacity, and population changes between 1956 (at the beginning of agrarian industrialization) and 2009 (fully industrialized agriculture). A multi-scale analysis is conducted at the landscape scale (seven counties within the Barcelona metropolitan region) as well as for the functions deployed, within an agroecosystem, by the mutual interactions between its funds (landscape, land-uses, livestock, and farming population). A complex nexus between land, livestock, dietary patterns, and energy needs is shown; we conclude that, from the perspective of the circular bioeconomy the agrarian sector has gone worse hand in hand with the landscape functional structure. Therefore, a novel perspective in landscape agroecology is opened.
Spatiotemporal Variations of Land Use/Cover Changes in Inner Mongolia (China) during 1980–2015
Authors: Tong Siqin , Dong Zhenhua , Zhang Jiquan , Bao Yongbin , Guna Ari , Bao Yuhai
Published: December 2018

Land use/cover change (LUCC) is one of the major environmental changes and has become a hot topic in the study of global change. Based on four land use classification maps, this study used the intensity analysis method to quantitatively monitor the land use changes which occurred in Inner Mongolia during 1980–2015. The results showed that changes occurred although the trends of corresponding land use types were different (increase or decrease), and the land use changes had an obvious increasing or decreasing trend before and after 2000, respectively. Generally, woodland, high-coverage grassland, and moderate-coverage grassland decreased and the other land use types increased during 1980–2015. In addition, the changes had great differences in spatial distribution. The area of grassland had the largest decrease, indicating that the quality of grassland has declined in Inner Mongolia. The variation rate of land use in 1980–1990 was faster than the rates in 1990–2000 and 2000–2015.
Contemplating the Antecedents of a Sustainable Work Life in an Emerging Economy: Lessons from Early Retirees in the ICT Sector of Pakistan
Authors: Hanif Muhammad Shehzad , Hanif Muhammad Imran , Shao Yunfei
Published: December 2018

Sustainable careers at present are characterized by elements of both planned and unplanned career transitions traversed over the entire life course. Planned career transitions involve voluntary departure from the routine career while unplanned career displacements come in the form of involuntary retirement decisions resulting from the job-cuts imposed by organizations. Involuntarily-displaced workers are challenged with threats, such as an unwelcoming job-market, depleted skillsets and potential obsolescence which results in limited employability. For developed nations, extant research has investigated to a reasonable extent this budding avenue of post-retirement career decision making and its dependency on various micro-level socioeconomic determinants. However, the same avenue is, as yet, unexplored for developing economies. In an endeavor to fill this gap, the present research is undertaken to study different post-retirement career trajectories chosen by middle-aged and elderly workers after a job loss from the information and communication technology (ICT) sector in Pakistan. We employ the technique of multinomial logistic regression on data obtained from 295 early displaced workers (M = 217, F = 78) to compare different retirement decisions in the light of various socioeconomic factors, such as age, gender and specific measures of human, social and financial capital and risk-taking ability. Age, gender and health status are observed to be major deterrents to sustainable career participation while technical qualification helps to sustain reemployment opportunities. Our research offers notable contributions to the realm of sustainable career development by identifying the factors which influence workers’ employability for sustainable workforce participation. Managerial and theoretical implications are discussed followed by conclusions and research limitations.
Warranty Decision Model and Remanufacturing Coordination Mechanism in Closed-Loop Supply Chain: View from a Consumer Behavior Perspective
Authors: Zhu Xiaodong , Yu Lingfei , Zhang Ji , Li Chenliang , Zhao Yizhao
Published: December 2018

The remanufacturing warranty strategy has become an effective mechanism for reducing consumer risk and stimulating market demand in closed-loop supply chain management. Based on the characteristics of consumers’ behavior of purchase decisions, this paper studies the warranty decision model of remanufacturing closed-loop supply chain under the Stackelberg game model. The present study discussed and compared the decision variables, including remanufacturing product pricing, extended warranty service pricing, warranty period and supply chain system profit. The research shows that consumers’ decision-making significantly affirms the dual marginalization effect of the supply chain system while significantly affecting the supply chain warranty decision; the improved revenue sharing contract and the two charge contracts respectively coordinates the manufacturer-led and retail-oriented closed-loop supply chain system, which effectively implements the Pareto improvement of the closed-loop supply chain system with warranty services. In the present study, the model is verified and analyzed by numerical simulation.
Beyond Wastescapes: Towards Circular Landscapes. Addressing the Spatial Dimension of Circularity through the Regeneration of Wastescapes
Authors: Amenta Libera , Van Timmeren Arjan
Published: December 2018

Wastescapes are the result of unsustainable linear growth processes and their spatial consequences within the context of urban metabolic flows and related infrastructure. They represent the operational infrastructure for waste management and include Drosscapes, generating complex relations with the servicing and surrounding territory. In particular, the peri-urban areas are spatially affected by these processes. This often leads to ineffective use and/or abandonment because they are currently impossible to use, demanding impactful (and often expensive) regeneration and revalorization to make them usable again. Being part of the urban metabolic process, wastescapes are in a continuous state of dynamic equilibrium. They can be considered crucial areas from a metropolitan perspective because they have the potential to become innovative spatial contexts or resources in a Circular Economy (CE), which aims to overcome the crises of both resource scarcity and spatial fragmentation. However, common and shared definitions of wastescapes are still missing at the European policy level, as only classical categories of material waste are generally mentioned. Wastescapes can be considered as ‘potentiality contexts’ where developing, testing, and implementing Eco-Innovative Solutions (EIS) can be done. By doing so, wastescapes can help start transitions towards a CE. This can be achieved by using Peri-urban Living Labs (PULL), which have the potential to be the virtual and physical environments in which experimenting the collaborative co-creation process for developing EIS can be done. Doing so will allow for the improvement of waste management and for the revalorization of wastescapes in collaboration with all potential stakeholders.
Mapping ICT Use along the Citrus (Kinnow) Value Chain in Sargodha District, Pakistan
Authors: Waqar Muhammad , Gu Rui , Nie Fengying
Published: December 2018

The value chains of fresh fruits and vegetables are sensitive to timeliness and require a quick information flow. Keeping in view its importance, this study has focused on mapping the use of information and communication technologies (ICTs) along the citrus value chain, including information channels being used, factors influencing ICT use, challenges, and weaknesses faced by value chain stakeholders. Cross-sectional data were mainly collected by structured and semi-structured interviews with value chain stakeholders and key informants. The citrus industry is very important for Pakistan as it is the 4th most important export commodity. There are two product flows in the citrus value chain, one is more traditional with abundant intermediaries, in which contractors, commission agents and wholesalers are the main stakeholders, and the other is export-oriented with processors and exporters (P&Es) as the main stakeholders. It has been noticed that growers are not using ICT extensively at the production stage. Logit analysis has proved that education significantly has influenced ICT use while age has a negative impact on ICT use at the production stage. Mobile usage is quite common at the production stage and intermediary trade; however, the use of the internet is very limited as the majority of intermediaries have lower education. Moreover, both mobile phones and internet are used to a significant extent along the export oriented flow. The results have indicated that there is a vast digital divide among value chain players. Processors and exporters are high ICT users followed by growers and intermediaries. In order to develop an effective information system, all the stakeholders in the chain need to have a certain level of knowledge and expertise of ICT use to improve information use efficiency. This study presents a whole picture of ICT use along the citrus value chain as well as challenges faced by different stakeholders. It also provides suggestions for policymakers to establish an ICT-based information system and enhance ICT adoption at each stage, especially production and intermediary trade, which can further increase growers’ market participation and improve market efficiency. In addition, it is necessary to make policies under the value chain framework rather than just focused on one stage or one stakeholder.
Representation by Chebyshev Polynomials for Sums of Finite Products of Chebyshev Polynomials
Authors: Kim Taekyun , Kim Dae San , Jang Lee-Chae , Dolgy Dmitry V.
Published: December 2018

In this paper, we consider sums of finite products of Chebyshev polynomials of the first, third, and fourth kinds, which are different from the previously-studied ones. We represent each of them as linear combinations of Chebyshev polynomials of all kinds whose coefficients involve some terminating hypergeometric functions 2 F 1 . The results may be viewed as a generalization of the linearization problem, which is concerned with determining the coefficients in the expansion of the product of two polynomials in terms of any given sequence of polynomials. These representations are obtained by explicit computations.
Hyperparameter Optimization for Image Recognition over an AR-Sandbox Based on Convolutional Neural Networks Applying a Previous Phase of Segmentation by Color–Space
Authors: Restrepo Rodríguez Andrés Ovidio , Casas Mateus Daniel Esteban , Gaona García Paulo Alonso , Montenegro Marín Carlos Enrique , González Crespo Rubén
Published: December 2018

Immersive techniques such as augmented reality through devices such as the AR-Sandbox and deep learning through convolutional neural networks (CNN) provide an environment that is potentially applicable for motor rehabilitation and early education. However, given the orientation towards the creation of topographic models and the form of representation of the AR-Sandbox, the classification of images is complicated by the amount of noise that is generated in each capture. For this reason, this research has the purpose of establishing a model of a CNN for the classification of geometric figures by optimizing hyperparameters using Random Search, evaluating the impact of the implementation of a previous phase of color–space segmentation to a set of tests captured from the AR-Sandbox, and evaluating this type of segmentation using similarity indexes such as Jaccard and Sørensen–Dice. The aim of the proposed scheme is to improve the identification and extraction of characteristics of the geometric figures. Using the proposed method, an average decrease of 39.45% to a function of loss and an increase of 14.83% on average in the percentage of correct answers is presented, concluding that the selected CNN model increased its performance by applying color–space segmentation in a phase that was prior to the prediction, given the nature of multiple pigmentation of the AR-Sandbox.
Chestnut Drying Is Critical in Determining Aspergillus flavus Growth and Aflatoxin Contamination
Authors: Prencipe Simona , Siciliano Ilenia , Gatti Carlotta , Gullino Maria Lodovica , Garibaldi Angelo , Spadaro Davide
Published: December 2018

Chestnut drying is used to prevent postharvest losses and microorganism contamination during storage. Several studies reported the contamination by aflatoxins (AFs) produced by Aspergillus spp. in chestnuts. The effect of drying temperatures (from 30 to 50 °C) was evaluated on the growth of A. flavus and the production of aflatoxins in chestnuts. The influence of the treatment on the proximate composition, the total phenol content and antioxidant activity of chestnuts was considered. Fungal colonization was observed on the nuts dried at 30, 35, and 40 °C; the incidence was lower at 40 °C. The highest concentrations of AFB1 and AFB2 were produced at 40 °C. No aflatoxins were detected at 45 or 50 °C. At 40 °C A. flavus was under suboptimal conditions for growth (aw 0.78), but the fungus was able to synthesize aflatoxins. As the temperatures applied increased, the total phenol content increased, while the antioxidant activity decreased. A drying treatment at 45 °C for seven days (aw 0.64) could be a promising method to effectively control both the growth of aflatoxigenic fungi and the production of aflatoxins. This study provides preliminary data useful to improve the current drying conditions used in chestnut mills, to reduce both fungal growth and aflatoxin production.