bluuebunny/crossref_metadata_2025 huggingface dataset:
Serum Parathyroid Hormone Responses to Vitamin D Supplementation in Overweight/Obese Adults: A Systematic Review and Meta-Analysis of Randomized Clinical Trials
Authors: Lotito Ashley , Teramoto Masaru , Cheung May , Becker Kendra , Sukumar Deeptha
Published: March 2017

Obesity is often associated with vitamin D deficiency and secondary hyperparathyroidism. Vitamin D supplementation typically leads to the reductions in serum parathyroid hormone (PTH) levels, as shown in normal weight individuals. Meanwhile, the dose of vitamin D supplementation for the suppression of PTH may differ in overweight and obese adults. We conducted a systematic review and meta-analysis of randomized controlled trials to determine the dose of vitamin D supplementation required to suppress PTH levels in overweight/obese individuals. We identified 18 studies that examined overweight or obese healthy adults who were supplemented with varying doses of vitamin D3. The primary outcomes examined were changes in PTH and serum 25-hydroxyvitamin D (25OHD) levels from baseline to post-treatment. The results of the meta-analysis showed that there was a significant treatment effect of vitamin D supplementation on PTH, total standardized mean difference (SMD) (random effects) = −0.38 (95% CI = −0.56 to −0.20), t = −4.08, p < 0.001. A significant treatment effect of vitamin D supplementation was also found on 25OHD, total SMD (random effects) = 2.27 (95% CI = 1.48 to 3.06) t = 5.62, p < 0.001. Data from available clinical trials that supplemented adults with D3 ranging from 400 IU to 5714 IU, showed that 1000 IU of vitamin D supplementation best suppressed serum PTH levels, total SMD = −0.58, while vitamin D supplementation with 4000 IU showed the greatest increase in serum 25OH levels. Vitamin D and calcium supplementation of 700 IU and 500 mg, respectively, also showed a significant treatment effect on the suppression of PTH with a total SMD = −5.30 (95% CI = −9.72 to −0.88). In conclusion, the meta analysis of available clinical trials indicates that 1000 IU vitamin D supplementation can suppress serum PTH levels, while 4000 IU of vitamin D was associated with the largest increase in serum 25OHD levels in the overweight and obese population.
Interactions between Neutrophils and Pseudomonas aeruginosa in Cystic Fibrosis
Authors: Rada Balázs
Published: March 2017

Cystic fibrosis (CF) affects 70,000 patients worldwide. Morbidity and mortality in CF is largely caused by lung complications due to the triad of impaired mucociliary clearance, microbial infections and chronic inflammation. Cystic fibrosis airway inflammation is mediated by robust infiltration of polymorphonuclear neutrophil granulocytes (PMNs, neutrophils). Neutrophils are not capable of clearing lung infections and contribute to tissue damage by releasing their dangerous cargo. Pseudomonas aeruginosa is an opportunistic pathogen causing infections in immunocompromised individuals. P. aeruginosa is a main respiratory pathogen in CF infecting most patients. Although PMNs are key to attack and clear P. aeruginosa in immunocompetent individuals, PMNs fail to do so in CF. Understanding why neutrophils cannot clear P. aeruginosa in CF is essential to design novel therapies. This review provides an overview of the antimicrobial mechanisms by which PMNs attack and eliminate P. aeruginosa. It also summarizes current advances in our understanding of why PMNs are incapable of clearing P. aeruginosa and how this bacterium adapts to and resists PMN-mediated killing in the airways of CF patients chronically infected with P. aeruginosa.
Optical Characterization of Doped Thermoplastic and Thermosetting Polymer-Optical-Fibers
Authors: Ayesta Igor , Illarramendi María , Arrue Jon , Parola Itxaso , Jiménez Felipe , Zubia Joseba , Tagaya Akihiro , Koike Yasuhiro
Published: March 2017

The emission properties of a graded-index thermoplastic polymer optical fiber and a step-index thermosetting one, both doped with rhodamine 6G, have been studied. The work includes a detailed analysis of the amplified spontaneous emission together with a study of the optical gains and losses of the fibers. The photostability of the emission of both types of fibers has also been investigated. Comparisons between the results of both doped polymer optical fibers are presented and discussed.
Preparation of RF-(VM-SiO2)n-RF/AM-Cellu Nanocomposites, and Use Thereof for the Modification of Glass and Filter Paper Surfaces: Creation of a Glass Thermoresponsive Switching Behavior and an Efficient Separation Paper Membrane
Authors: Sawada Hideo , Suto Yuki , Saito Tomoya , Oikawa Yuri , Yamashita Katsumi , Yamada Satoshi , Sugiya Masashi , Suzuki Jun-ichi
Published: March 2017

Fluoroalkyl end-capped vinyltrimethoxysilane oligomeric silica/alkyl-modified cellulose (AM-Cellu) nanocomposites [RF-(CH2-CHSiO2)n-RF/AM-Cellu; n = 2, 3; RF = CF(CF3)OC3F7] were prepared by the sol-gel reactions of the corresponding oligomer [RF-(CH2-CHSi(OMe)3)n-RF] in the presence of AM-Cellu. The nanocomposites thus obtained were applied to the surface modification of glass to exhibit a highly oleophobic/superhydrophilic characteristic on the modified surface at 20 °C. Interestingly, a temperature dependence of contact angle values of dodecane and water was observed on the modified surface at 20~70 °C, and the dodecane contact angle values were found to decrease with increasing the temperatures from 20 to 70 °C to provide from highly oleophobic to superoleophilic characteristics on the surface. On the other hand, the increase of the water contact angle values was observed with the increase in the temperatures under similar conditions to supply superhydrophilic to superhydrophobic characteristics on the modified surface. The corresponding nanocomposites were also applied to the surface modification of the filter paper under similar conditions to afford a superoleophilic/superhydrophobic characteristic on the surface. It was demonstrated that the modified filter paper is effective for the separation membrane for W/O emulsion to isolate the transparent colorless oil.
Transcendence, Taxis, Trust: Richard Kearney and Jacques Derrida
Authors: Schmiedel Ulrich
Published: March 2017

Whatever else it takes to drive a taxi, it takes trust. Day after day, the driver has to decide whether the other is or is not trustworthy. I take the taxi as a test case to analyze and assess Richard Kearney’s diacritical hermeneutics of the other. I argue that Kearney functionalizes the concept of transcendence in order to connect the transcendence of the finite other to the transcendence of the infinite other. However, in his central critique of the deconstructionists following Jacques Derrida, Kearney counters his connection. While Kearney’s critique of Derrida’s account of absolute alterity is correct and compelling, I argue that Derrida’s critique of a distinction between the trustworthy other and the non-trustworthy other might be more crucial than Kearney contends. Insisting on openness to the other’s otherness, Derrida provokes any hermeneutic of the other to trust in transcendence. The taxi is taken as a test to illustrate the implications which diacritical and deconstructive drivers might have for evaluating the entanglement of ethics and eschatology—inside and outside the taxi.
Inverting Aboveground Biomass–Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery
Authors: Pargal Sourabh , Fararoda Rakesh , Rajashekar Gopalakrishnan , Balachandran Natesan , Réjou-Méchain Maxime , Barbier Nicolas , Jha Chandra , Pélissier Raphaël , Dadhwal Vinay , Couteron Pierre
Published: March 2017

Large scale assessment of aboveground biomass (AGB) in tropical forests is often limited by the saturation of remote sensing signals at high AGB values. Fourier Transform Textural Ordination (FOTO) performs well in quantifying canopy texture from very high-resolution (VHR) imagery, from which stand structure parameters can be retrieved with no saturation effect for AGB values up to 650 Mg·ha−1. The method is robust when tested on wet evergreen forests but is more demanding when applied across different forest types characterized by varying structures and allometries. The present study focuses on a gradient of forest types ranging from dry deciduous to wet evergreen forests in the Western Ghats (WG) of India, where we applied FOTO to Cartosat-1a images with 2.5 m resolution. Based on 21 1-ha ground control forest plots, we calibrated independent texture–AGB models for the dry and wet zone forests in the area, as delineated from the distribution of NDVI values computed from LISS-4 multispectral images. This stratification largely improved the relationship between texture-derived and field-derived AGB estimates, which exhibited a R2 of 0.82 for a mean rRMSE of ca. 17%. By inverting the texture–AGB models, we finally mapped AGB predictions at 1.6-ha resolution over a heterogeneous landscape of ca. 1500 km2 in the WG, with a mean relative per-pixel propagated error <20% for wet zone forests, i.e., below the recommended IPCC criteria for Monitoring, Reporting and Verification (MRV) methods. The method proved to perform well in predicting high-resolution AGB values over heterogeneous tropical landscape encompassing diversified forest types, and thus presents a promising option for affordable regional monitoring systems of greenhouse gas (GhG) emissions related to forest degradation.
Optimized Sample Selection in SVM Classification by Combining with DMSP-OLS, Landsat NDVI and GlobeLand30 Products for Extracting Urban Built-Up Areas
Authors: Ma Xiaolong , Tong Xiaohua , Liu Sicong , Luo Xin , Xie Huan , Li Chengming
Published: March 2017

The accuracy of training samples used for data classification methods, such as support vector machines (SVMs), has had a considerable positive impact on the results of urban area extractions. To improve the accuracy of urban built-up area extractions, this paper presents a sample-optimized approach for classifying urban area data using a combination of the Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) for nighttime light data, Landsat images, and GlobeLand30, which is a 30-m global land cover data product. The proposed approach consists of three main components: (1) initial sample generation and data classification into built-up and non-urban built-up areas based on the maximum and minimum intervals of digital numbers from the DMSP-OLS data, respectively; (2) refined sample selection and optimization by the probability threshold of each pixel based on vegetation-cover, using the Landsat-derived normalized differential vegetation index (NDVI) and artificial surfaces extracted from the GlobeLand30 product as the constraints; (3) iterative classification and urban built-up area data extraction using the relationship between these three aspects of data collection together with the training sets. Experiments were conducted for several cities in western China using this proposed approach for the extraction of built-up areas, which were classified using urban construction statistical yearbooks and Landsat images and were compared with data obtained from traditional data collection methods, such as the threshold dichotomy method and the improved neighborhood focal statistics method. An analysis of the empirical results indicated that (1) the sample training process was improved using the proposed method, and the overall accuracy (OA) increased from 89% to 96% for both the optimized and non-optimized sample selection; (2) the proposed method had a relative error of less than 10%, as calculated by an accuracy assessment; (3) the overall and individual class accuracy were higher for artificial surfaces in GlobeLand30; and (4) the average OA obviously improved and the Kappa coefficient in the case of Chengdu increased from 0.54 to 0.80. Therefore, the experimental results demonstrated that our proposed approach is a reliable solution for extracting urban built-up areas with a high degree of accuracy.
Spatial Variability Analysis of Within-Field Winter Wheat Nitrogen and Grain Quality Using Canopy Fluorescence Sensor Measurements
Authors: Song Xiaoyu , Yang Guijun , Yang Chenghai , Wang Jihua , Cui Bei
Published: March 2017

Wheat grain protein content (GPC) is a key component when evaluating wheat nutrition. It is also important to determine wheat GPC before harvest for agricultural and food process enterprises in order to optimize the wheat grading process. Wheat GPC across a field is spatially variable due to the inherent variability of soil properties and position in the landscape. The objectives of this field study were: (i) to assess the spatial and temporal variability of wheat nitrogen (N) attributes related to the grain quality of winter wheat production through canopy fluorescence sensor measurements; and (ii) to examine the influence of spatial variability of soil N and moisture across different growth stages on the wheat grain quality. A geostatistical approach was used to analyze data collected from 110 georeferenced locations. In particular, Ordinary Kriging Analysis (OKA) was used to produce maps of wheat GPC, GPC yield, and wheat canopy fluorescence parameters, including simple florescence ratio and Nitrogen Balance Indices (NBI). Soil Nitrate-Nitrogen (NO3-N) content and soil Time Domain Reflectometry (TDR) value in the study field were also interpolated through the OKA method. The fluorescence parameter maps, soil NO3-N and soil TDR maps obtained from the OKA output were compared with the wheat GPC and GPC yield maps in order to assess their relationships. The results of this study indicate that the NBI spatial variability map in the late stage of wheat growth can be used to distinguish areas that produce higher GPC.
Mapping Above-Ground Biomass of Winter Oilseed Rape Using High Spatial Resolution Satellite Data at Parcel Scale under Waterlogging Conditions
Authors: Han Jiahui , Wei Chuanwen , Chen Yaoliang , Liu Weiwei , Song Peilin , Zhang Dongdong , Wang Anqi , Song Xiaodong , Wang Xiuzhen , Huang Jingfeng
Published: March 2017

Oilseed rape (Brassica napus L.) is one of the three most important oil crops in China, and is regarded as a drought-tolerant oilseed crop. However, it is commonly sensitive to waterlogging, which usually refers to an adverse environment that limits crop development. Moreover, crop growth and soil irrigation can be monitored at a regional level using remote sensing data. High spatial resolution optical satellite sensors are very useful to capture and resist unfavorable field conditions at the sub-field scale. In this study, four different optical sensors, i.e., Pleiades-1A, Worldview-2, Worldview-3, and SPOT-6, were used to estimate the dry above-ground biomass (AGB) of oilseed rape and track the seasonal growth dynamics. In addition, three different soil water content field experiments were carried out at different oilseed rape growth stages from November 2014 to May 2015 in Northern Zhejiang province, China. As a significant indicator of crop productivity, AGB was measured during the seasonal growth stages of the oilseed rape at the experimental plots. Several representative vegetation indices (VIs) obtained from multiple satellite sensors were compared with the simultaneously-collected oilseed rape AGB. Results showed that the estimation model using the normalized difference vegetation index (NDVI) with a power regression model performed best through the seasonal growth dynamics, with the highest coefficient of determination (R2 = 0.77), the smallest root mean square error (RMSE = 104.64 g/m2), and the relative RMSE (rRMSE = 21%). It is concluded that the use of selected VIs and high spatial multiple satellite data can significantly estimate AGB during the winter oilseed rape growth stages, and can be applied to map the variability of winter oilseed rape at the sub-field level under different waterlogging conditions, which is very promising in the application of agricultural irrigation and precision agriculture.
A Flexible, Generic Photogrammetric Approach to Zoom Lens Calibration
Authors: Wang Zheng , Mills Jon , Xiao Wen , Huang Rongyong , Zheng Shunyi , Li Zhenhong
Published: March 2017

Compared with prime lenses, zoom lenses have inherent advantages in terms of operational flexibility. Zoom lens camera systems have therefore been extensively adopted in computer vision where precise measurement is not the primary objective. However, the variation of intrinsic camera parameters with respect to zoom lens settings poses a series of calibration challenges that have inhibited widespread use in close-range photogrammetry. A flexible zoom lens calibration methodology is therefore proposed in this study, developed with the aim of simplifying the calibration process and promoting practical photogrammetric application. A zoom-dependent camera model that incorporates empirical zoom-related intrinsic parameters into the collinearity condition equations is developed. Coefficients of intrinsic parameters are solved in a single adjustment based on this zoom lens camera model. To validate the approach, experiments on both optical- and digital-zoom lens cameras were conducted using a planar board with evenly distributed circular targets. Zoom lens calibration was performed with images taken at four different zoom settings spread throughout the zoom range of a lens. Photogrammetric accuracies achieved through both mono-focal and multi-focal triangulations were evaluated after calibration. The relative accuracies for mono-focal triangulations ranged from 1: 6300 to 1: 18,400 for the two cameras studied, whereas the multi-focal triangulation accuracies ranged from 1: 11,300 to 1: 16,200. In order to demonstrate the applicability of the approach, calibrated zoom lens imagery was used to render a laser-scanned point cloud of a building façade. Considered alongside experimental results, the successful application demonstrates the feasibility of the proposed calibration method, thereby facilitating the adoption of zoom lens cameras in close range photogrammetry for a wide range of scientific and practical applications.
PDMAA Hydrogel Coated U-Bend Humidity Sensor Suited for Mass-Production
Authors: Kelb Christian , Körner Martin , Prucker Oswald , Rühe Jürgen , Reithmeier Eduard , Roth Bernhard
Published: March 2017

We present a full-polymer respiratory monitoring device suited for application in environments with strong magnetic fields (e.g., during an MRI measurement). The sensor is based on the well-known evanescent field method and consists of a 1 mm plastic optical fiber with a bent region where the cladding is removed and the fiber is coated with poly-dimethylacrylamide (PDMAA). The combination of materials allows for a mass-production of the device by spray-coating and enables integration in disposable medical devices like oxygen masks, which we demonstrate here. We also present results of the application of an autocorrelation-based algorithm for respiratory frequency determination that is relevant for real applications of the device.
Development of Fluorescent FRET Probes for “Off-On” Detection of L-Cysteine Based on Gold Nanoparticles and Porous Silicon Nanoparticles in Ethanol Solution
Authors: Zhang Hongyan , Jia Zhenhong
Published: March 2017

A new type of fluorescence “off-on” probe was designed for L-Cysteine (L-Cys) based on the fluorescence resonance energy transfer (FRET) between negatively charged amino-capped porous silicon nanoparticles (SiNPs) and positively charged citrate-stabilized Au nanoparticles (AuNPs). In this proposed FRET immunosensor, novel water-soluble amino-conjugated porous SiNPs in ethanol with excellent photoluminescence properties act as the energy donor. Excellent quenching efficiency between SiNPs-ethanol and citrate-stabilized AuNPs by electrostatic interaction via FRET provides an ideal “off-state” (turn-off). The addition of L-Cys leads to releasing the adsorbed AuNPs from the surface of SiNPs and hence the fluorescence emission of SiNPs-ethanol is restored (turn-on), which means the coordination ability of the thiols with AuNPs is stronger than that of the electrostatic interaction. The fluorescence intensity of SiNPs-AuNPs in ethanol is sensitive to L-Cys, and such a restored fluorescence is proportional to the concentration of L-Cys. The method will broadly benefit the development of a new thiol biosensor based on nanostructured porous materials, and the proposed procedure is also expected to develop a variety of functional nanoparticles to form other novel kinds of nanosensors.
Off the Shelf Cloud Robotics for the Smart Home: Empowering a Wireless Robot through Cloud Computing
Authors: Ramírez De La Pinta Javier , Maestre Torreblanca José , Jurado Isabel , Reyes De Cozar Sergio
Published: March 2017

In this paper, we explore the possibilities offered by the integration of home automation systems and service robots. In particular, we examine how advanced computationally expensive services can be provided by using a cloud computing approach to overcome the limitations of the hardware available at the user’s home. To this end, we integrate two wireless low-cost, off-the-shelf systems in this work, namely, the service robot Rovio and the home automation system Z-wave. Cloud computing is used to enhance the capabilities of these systems so that advanced sensing and interaction services based on image processing and voice recognition can be offered.
Optimal Power Control in Wireless Powered Sensor Networks: A Dynamic Game-Based Approach
Authors: Xu Haitao , Guo Chao , Zhang Long
Published: March 2017

In wireless powered sensor networks (WPSN), it is essential to research uplink transmit power control in order to achieve throughput performance balancing and energy scheduling. Each sensor should have an optimal transmit power level for revenue maximization. In this paper, we discuss a dynamic game-based algorithm for optimal power control in WPSN. The main idea is to use the non-cooperative differential game to control the uplink transmit power of wireless sensors in WPSN, to extend their working hours and to meet QoS (Quality of Services) requirements. Subsequently, the Nash equilibrium solutions are obtained through Bellman dynamic programming. At the same time, an uplink power control algorithm is proposed in a distributed manner. Through numerical simulations, we demonstrate that our algorithm can obtain optimal power control and reach convergence for an infinite horizon.
Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence
Authors: Zhang Ran , Peng Zhen , Wu Lifeng , Yao Beibei , Guan Yong
Published: March 2017

Intelligent condition monitoring and fault diagnosis by analyzing the sensor data can assure the safety of machinery. Conventional fault diagnosis and classification methods usually implement pretreatments to decrease noise and extract some time domain or frequency domain features from raw time series sensor data. Then, some classifiers are utilized to make diagnosis. However, these conventional fault diagnosis approaches suffer from the expertise of feature selection and they do not consider the temporal coherence of time series data. This paper proposes a fault diagnosis model based on Deep Neural Networks (DNN). The model can directly recognize raw time series sensor data without feature selection and signal processing. It also takes advantage of the temporal coherence of the data. Firstly, raw time series training data collected by sensors are used to train the DNN until the cost function of DNN gets the minimal value; Secondly, test data are used to test the classification accuracy of the DNN on local time series data. Finally, fault diagnosis considering temporal coherence with former time series data is implemented. Experimental results show that the classification accuracy of bearing faults can get 100%. The proposed fault diagnosis approach is effective in recognizing the type of bearing faults.
Six-Month Chronic Toxicity Study of Tamarind Pulp (Tamarindus indica L.) Water Extract
Authors: Iskandar Irene , Setiawan Finna , Sasongko Lucy , Adnyana I
Published: March 2017

Tamarind water extract has been shown to demonstrate an anti-obesity effect. In this research, long-term use of tamarind pulp water extract safety was evaluated. Tamarind pulp was extracted by reflux method, followed by freeze-drying to obtain dry extract. Wistar rats were divided into six groups, with 20 animals of each sex per group. The control group and satellite control group received carboxymethylcellulose sodium (CMC-Na) 0.5% 1 mL/100 g bw (body weight) per day. Treatment groups received tamarind pulp extract at doses of 75, 200, 1000, satellite 1000 mg/kg bw per day for six months. After six months, control groups and the treatment group were sacrificed. Satellite groups were sacrificed one month later. Relative organ weights, hematology and clinical biochemistry profiles were determined. After six months, there were no significant change in body weight, hematologic, and clinical biochemistry profiles of the tested group. Body weight of male rats in the satellite 1000 mg/kg bw group was significantly increased in week 30 compared to the satellite control group (p < 0.05). The relative spleen weight of female rats of the 200 mg/kg bw group was reduced (p < 0.05). The relative kidney weight of male rats in the 1000 mg/kg bw group was increased (p < 0.05). This study showed that tamarind pulp extract was generally safe and well tolerated at the tested dose.
Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis
Authors: Feng Yixiong , Hong Zhaoxi , Cheng Jin , Jia Likai , Tan Jianrong
Published: March 2017

The problem of large amounts of carbon emissions causes wide concern across the world, and it has become a serious threat to the sustainable development of the manufacturing industry. The intensive research into technologies and methodologies for green product design has significant theoretical meaning and practical value in reducing the emissions of the manufacturing industry. Therefore, a low carbon-oriented product reliability optimal design model is proposed in this paper: (1) The related expert evaluation information was prepared in interval numbers; (2) An improved product failure analysis considering the uncertain carbon emissions of the subsystem was performed to obtain the subsystem weight taking the carbon emissions into consideration. The interval grey correlation analysis was conducted to obtain the subsystem weight taking the uncertain correlations inside the product into consideration. Using the above two kinds of subsystem weights and different caution indicators of the decision maker, a series of product reliability design schemes is available; (3) The interval-valued intuitionistic fuzzy sets (IVIFSs) were employed to select the optimal reliability and optimal design scheme based on three attributes, namely, low carbon, correlation and functions, and economic cost. The case study of a vertical CNC lathe proves the superiority and rationality of the proposed method.
Environmentally Friendly Supplier Selection Using Prospect Theory
Authors: Song Wei , Chen Zhiya , Wang Xuping , Wang Qian , Shi Chenghua , Zhao Wei
Published: March 2017

This paper proposes an optimal selection method to address the real-world problem of environmentally friendly supplier selection, based on prospect theory. This study adopted the manufacturer’s point of view, and considered the manufacturer’s psychological and behavioral factors in the process of choosing suppliers. The first step was to build supplier-selection indexes for manufacturers. Then, the study assessed the attribute of manufacturer expectations as a reference point. Next, index gains and losses were evaluated against the expectation reference point, yielding a payoff matrix and loss matrix. Finally, the study used prospect theory to calculate the comprehensive prospect value of each supplier; comprehensive prospect values were sorted in descending order to help manufacturers make the best choice.
Investigating the Impact of Human Activity on Land Use/Cover Change in China’s Lijiang River Basin from the Perspective of Flow and Type of Population
Authors: Li Jun , Zhang Yuan , Qin Qiming , Yan Yueguan
Published: March 2017

Exploring how human activity impacts land use/cover change (LUCC) is a hot research topic in the field of geography and sustainability management. Researchers have primarily used socioeconomic variables to measure human activity. However, the human activity indexes mainly based on socioeconomic variables have a spatial resolution that is coarser than traditional LUCC datasets, which hinders a deep and comprehensive analysis. In view of these problems, we selected China’s Lijiang River Basin as our study area and proposed the use of GPS trajectory data for analyzing the impact of human activity on LUCC from two perspectives: (1) Type of population: we used the kernel density estimation method to extract the spatial distribution of activity intensity of local residents and tourists, investigated their correlation with the LUCC result, and found these two populations have different impacts on each land cover; (2) Flow of population: we used the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm and a network analysis method to build a flow network of population from raw trajectories, conducted regression analysis with LUCC, and found that the flow of population is an important factor driving LUCC and is sometimes a more important factor than the static distribution of the population. Experimental results validated that the proposed method can be used to uncover the impact mechanism of human activity on LUCC at fine-grained scales and provide more accurate planning and instructions for sustainability management.
The Factors of Local Energy Transition in the Seoul Metropolitan Government: The Case of Mini-PV Plants
Authors: Lee Jae-Seung , Kim Jeong
Published: March 2017

As a way of enhancing urban sustainability, Seoul Special City, the capital of South Korea, has shown strong enthusiasm for urban energy transition by tackling climate change and expanding renewable energy. The Seoul Metropolitan Government (SMG) has adopted the “One Less Nuclear Power Plant (OLNPP)” strategy since April 2012 and specific policy measures, including a mini-photovoltaic (PV) plant program, were introduced to facilitate the energy transition. However, varying degrees of success were achieved by 25 district-level local governments (Gu) with mini-PV plant programs. This study explored the reason why those local governments showed different levels of performance despite the strong will of municipal government (SMG) to implement urban energy transitions through the mini-PV plant program. The tested hypotheses were based on capacity, political context, public awareness and geographical diffusion. The findings indicated that institutional capacity, financial dependence, political orientation and public perception had positively affected the performance of mini-PV plant installation at each district level. Especially, the political will of each district mayor played an important role in the implementation of the policy.
China’s Carbon Footprint Based on Input-Output Table Series: 1992–2020
Authors: Zheng Haitao , Fang Qi , Wang Cheng , Wang Huiwen , Ren Ruoen
Published: March 2017

Reducing carbon emissions is a major concern for China’s future. This paper explores the embodied carbon footprint of Chinese final demand from the point of view of industries. It uses the Matrix Transformation Technique (MTT) to update the input-output table series from 1992 to 2020 in China. Then, we measure the embodied carbon emissions for the period 1992–2020 from 29 industry producers to the final demand, covering urban and rural residential consumption, government consumption, fixed capital formation, and net exports. The results show that construction, other services, wholesale, retail trade, accommodation and catering, industrial machinery and equipment, transport, storage and postal services, and manufacture of foods and tobacco are the industries with the greatest carbon emissions from producers, while fixed capital formation and urban consumption are the largest emitters from the perspective of final demand. The embodied carbon emission multipliers for most of the industries are decreasing, while the total carbon emissions are increasing each year. The ratio of emissions from residential consumption in terms of total emissions is decreasing. Each industry has a different main final demand-driven influencing factor on emission and, for each type of final demand, there are different industries with higher emissions.
A Triple Bottom Line Analysis of Hong Kong’s Logistics Sector
Authors: To Wai-Ming , Lee Peter
Published: March 2017

Logistics play a crucial role in the development of the world economy as globalization continues. Because international trade is a driver of the gross domestic product (GDP), it impacts the economies of cities and countries. However, all transport modes consume energy and produce air pollutants including greenhouse gases (GHGs) either directly or indirectly. This paper uses a triple bottom line approach to examine the environmental, economic, and social performance of Hong Kong’s logistics sector. The data, including annual cargo movements between Hong Kong and other places by different transport modes (container ships, aircraft, heavy trucks, and freight trains), the respective values added, and the number of workers employed in this sector, were collected from the Hong Kong government. Results showed that the total cargo weight had increased by 40% between 2000 and 2014. During the same period of time, the logistics sector contributed an average of 4.2% to Hong Kong’s total GDP, provided an average of 5.6% of total employment, but produced an average of 37.4% of Hong Kong’s total GHG emission.
The Influence of Local Governance: Effects on the Sustainability of Bioenergy Innovation
Authors: Cavicchi Bianca , Palmieri Sergio , Odaldi Marco
Published: March 2017

This paper deals with processes and outcomes of sustainable bioenergy development in Emilia Romagna. It draws on an on-going research project concerning inclusive innovation in forest-based bioenergy and biogas in Norway, Sweden, Finland and Italy. The goal is to explore how local governance impacts on inclusive innovation processes and triple bottom sustainability of bioenergy development in Emilia Romagna and, ultimately, to contribute to the debate on the bioeconomy. It thus compares the case of biogas and forest-based bioenergy production. The study adopts an analytical framework called Grounded Innovation (GRIP) and the local governance approach. The study uses qualitative methods and particularly semi-structured interviews and governance analysis. The key results show different outcomes on both inclusive innovation and triple bottom-line dimensions. Biogas has not fostered inclusiveness and triple bottom line sustainability benefits, contrary to forest-based bioenergy. The findings indicate that the minor role of local actors, particularly municipalities, in favour of industrial and national interests may jeopardise the sustainability of biobased industries. Besides, policies limited to financial incentives may lead to a land-acquisition rush, unforeseen local environmental effects and exacerbate conflicts.
The Influence of the Middle East Respiratory Syndrome Outbreak on Online and Offline Markets for Retail Sales
Authors: Jung Eunae , Sung Hyungun
Published: March 2017

This study investigates whether the Middle East Respiratory Syndrome (MERS) outbreak in Korea affected online and offline retail sales and determines the presence of a substitution or delay effect between the two. We analyze the monthly retail sales of electronic goods, semi-luxury goods, and groceries using an autoregressive integrated moving average (ARIMA) model with intervention. The findings are as follows. First, offline sales of electronic goods declined by 7.9%, while online sales increased by 7.03%, indicating that these markets can act as substitutes. Second, the offline sales of semi-luxury goods decreased for two months, while online sales remained the same, indicating that there can be a delay effect in the offline market. Finally, despite the slight increase in online sales and the moderate decrease in offline sales, the MERS outbreak did not have a statistically significant effect on grocery sales. Our research findings imply that stakeholders such as the government and retail provided useful information on how to deal with the unexpected outbreak
Decomposing the Decoupling of Water Consumption and Economic Growth in China’s Textile Industry
Authors: Li Yi , Luo Yan , Wang Yingzi , Wang Laili , Shen Manhong
Published: March 2017

Unprecedented economic achievement in China’s textile industry (TI) has occurred along with rising water consumption. The goal of industrial sustainable development requires the decoupling of economic growth from resource consumption. This paper examines the relationship between water consumption and economic growth, and the internal influence mechanism of China’s TI and its three sub-sectors: the manufacture of textiles (MT) sector, the Manufacture of Textile Wearing Apparel, Footwear, and Caps (MTWA) sector, and the manufacture of chemical fibers (MCF) sector. A decoupling analysis was performed and the Laspeyres decomposition method was applied to the period from 2001 to 2014. We showed that six of the fourteen years analyzed (2003, 2006, 2008, 2009, 2011, and 2013) exhibited a strong decoupling effect and three of the fourteen years (2005, 2007, and 2010) exhibited a weak decoupling effect. Overall, China’s TI experienced a good decoupling between economic growth and water consumption from 2002 to 2014. For the three sub-sectors, the MTWA sector experienced a more significant positive decoupling than the MT and MCF sectors. The decomposition results confirm that the industrial scale factor is the most important driving force of China’s TI water consumption increase, while the water efficiency factor is the most important inhibiting force. The industrial structure adjustment does not significantly affect water consumption. The industrial scale and water use efficiency factors are also the main determinants of change in water consumption for the three sub-sectors.
Faithworthy Collaborative Spectrum Sensing Based on Credibility and Evidence Theory for Cognitive Radio Networks
Authors: Ye Fang , Zhang Xun , Li Yibing , Tang Chunrui
Published: March 2017

Cognitive radio (CR) has become a tempting technology that achieves significant improvement in spectrum utilization. To resolve the hidden terminal problem, collaborative spectrum sensing (CSS), which profits from spatial diversity, has been studied intensively in recent years. As CSS is vulnerable to the attacks launched by malicious secondary users (SUs), certain CSS security schemes based on the Dempster–Shafer theory of evidence have been proposed. Nevertheless, the available works only focus on the real-time difference of SUs, like the difference in similarity degree or SNR, to evaluate the credibility of each SU. Since the real-time difference is unilateral and sometimes inexact, the statistical information comprised in SUs’ historical behaviors should not be ignored. In this paper, we propose a robust CSS method based on evidence theory and credibility calculation. It is executed in four consecutive procedures, which are basic probability assignment (BPA), holistic credibility calculation, option and amelioration of BPA and evidence combination via the Dempster–Shafer rule, respectively. Our scheme evaluates the holistic credibility of SUs from both the real-time difference and statistical sensing behavior of SUs. Moreover, considering that the transmitted data increase with the number of SUs increasing, we introduce the projection approximation approach to adjust the evidence theory to the binary hypothesis test in CSS; on this account, both the data volume to be transmitted and the workload at the data fusion center have been reduced. Malicious SUs can be distinguished from genuine ones based on their historical sensing behaviors, and SUs’ real-time difference can be reserved to acquire a superior current performance. Abounding simulation results have proven that the proposed method outperforms the existing ones under the effect of different attack modes and different numbers of malicious SUs.
Transmission Power Adaption for Full-Duplex Relay-Aided Device-to-Device Communication
Authors: Dun Hui , Ye Fang , Li Yibing
Published: March 2017

Device-to-device (D2D) communications bring significant improvements of spectral efficiency by underlaying cellular networks. However, they also lead to a more deteriorative interference environment for cellular users, especially the users in severely deep fading or shadowing. In this paper, we investigate a relay-based communication scheme in cellular systems, where the D2D communications are exploited to aid the cellular downlink transmissions by acting as relay nodes with underlaying cellular networks. We modeled two-antenna infrastructure relays employed for D2D relay. The D2D transmitter is able to transmit and receive signals simultaneously over the same frequency band. Then we proposed an efficient power allocation algorithm for the base station (BS) and D2D relay to reduce the loopback interference which is inherent due to the two-antenna infrastructure in full-duplex (FD) mode. We derived the optimal power allocation problem in closed form under the independent power constraint. Simulation results show that the algorithm reduces the power consumption of D2D relay to the greatest extent and also guarantees cellular users’ minimum transmit rate. Moreover, it also outperforms the existing half-duplex (HD) relay mode in terms of achievable rate of D2D.
From Systems to Organisations
Authors: Kritz Maurício
Published: March 2017

Warren Weaver, writing about the function that science should have in mankind’s developing future, ideas and ideals, proposed to classify scientific problems into ‘problems of simplicity’, ‘problems of disorganised complexity’, and ‘problems of organised complexity’—the huge complementary class to which all biological, human, and social problems belong. Problems of simplicity have few components and variables and have been extensively addressed in the last 400 years. Problems of disorganised complexity have a huge number of individually erratic components and variables, but possess collective regularities that can be analysed by resourcing to stochastic methods. Yet, ‘problems of organised complexity’ do not yield easily to classical or statistical treatment. Interrelations among phenomenon elements change during its evolution alongside commonly used state variables. This invalidates independence and additivity assumptions that support reductionism and affect behaviour and outcome. Moreover, organisation, the focal point in this complementary class, is still an elusive concept despite gigantic efforts undertaken since a century ago to tame it. This paper addresses the description, representation and study of phenomena in the ‘problems of organised complexity’ class, arguing that they should be treated as a collection of interacting organisations. Furthermore, grounded on relational mathematical constructs, a formal theoretical framework that provides operational definitions, schemes for representing organisations and their changes, as well as interactions of organisations is introduced. Organisations formally extend the general systems concept and suggest a novel perspective for addressing organised complexity phenomena as a collection of interacting organisations.
Isolation and Characterization of a Double Stranded DNA Megavirus Infecting the Toxin-Producing Haptophyte Prymnesium parvum
Authors: Wagstaff Ben , Vladu Iulia , Barclay J. , Schroeder Declan , Malin Gill , Field Robert
Published: March 2017

Prymnesium parvum is a toxin-producing haptophyte that causes harmful algal blooms globally, leading to large-scale fish kills that have severe ecological and economic implications. For the model haptophyte, Emiliania huxleyi, it has been shown that large dsDNA viruses play an important role in regulating blooms and therefore biogeochemical cycling, but much less work has been done looking at viruses that infect P. parvum, or the role that these viruses may play in regulating harmful algal blooms. In this study, we report the isolation and characterization of a lytic nucleo-cytoplasmic large DNA virus (NCLDV) collected from the site of a harmful P. parvum bloom. In subsequent experiments, this virus was shown to infect cultures of Prymnesium sp. and showed phylogenetic similarity to the extended Megaviridae family of algal viruses.
Les Bembidiina (Coléoptères Carabidae Trechinae) de la faune de France. Clés d'identification commentées (Troisième partie)
Authors: Coulon Jacques
Published: March 2017

Des clés d'identification illustrées et commentées sont données pour toutes les espèces de Bembidions de la faune française. Les édéages de toutes les espèces sont représentés. Cette troisième partie traite du groupe Ocydromus, genres Ocydromus (s-g . Peryphus et Peryphanes), Euperyphus, Peryphiolus et Testediolum.
Etude des Scaurus décrits par Forster, Fabricius et Waltl (Coleoptera, Tenebrionidae)
Authors: Labrique Harold
Published: March 2017

Study of the Scaurus species described by Forster, Fabricius et Waltl (Coleoptera, Tenebrionidae). - In the context of a revision of the genus Scaurus Fabricius, the type material of the species originally described by Forster, Fabricius and Waltl was studied. Old synonymies are confirmed and new synonymies are established. Scaurus gigas Waltl is reinstated and Scaurus sulcatus Fabricius is resurrected.
Contribution à la connaissance de l'appareil génital de Typhlonectes compressicauda (Duméril et Bibron, 1841), Amphibien Gymnophione. II. Croissance des gonades et maturité sexuelle des mâles
Authors: Anjubault Elisabeth , Exbrayat Jean-Marie
Published: March 2017

Growth and sexual maturity in Typhlonectes compressicauda males, Amphibia Gymnophiana. - The purpose of this work was to precise growth and maturity of sexual organs (testes, mullerian glands and cloaca) in male Typhlonectes compressicauda. First year after birth is devoted to growth of these organs. A first inefficient sexual cycle is observed in 1.5 year old animals. Sexual maturity occurs in 2.5 years old animals. At birth, presence of testosterone has been detected in somatic cells surrounding spermatogonia. Then testosterone is observed in Leydig cells like in adult animals.
Aperçu de la répartition des espèces du genre Polypodium L. (Polypodiales, Polypodiaceae) en Isle Crémieu (Isère)
Authors: Chamberaud Pierrette
Published: March 2017

Après un bref rappel des caractéristiques du genre Polypodium L., les critères de détermination microscopique des espèces établis par l'auteur sont présentés sous la forme de deux tableaux. Les espèces recensées en Isle Crémieu sont ensuite décrites ainsi que la fréquence, l'écologie, la phénologie et les fougères compagnes. Une carte de répartition et les photo¬ graphies des espèces complètent cette étude.
Morphométrie comparée de la première molaire inférieure de différentes populations d'Europe du Pléistocène supérieur du campagnol des steppes Microtus gregalis (Pallas, 1779) (Rodentia, Arvicolidae)
Authors: Paunesco Alexandra-Cristina , Brunet-Lecomte Patrick
Published: March 2017

L'analyse odontométrique comparée de la première molaire inférieure (Mj) de cinq populations du campagnol des steppes Microtus gregalis (Pallas, 1779) du Pléistocène supé¬ rieur de Roumanie et d'Allemagne a permis d'identifier des critères caractérisant ces populations. L'hypothèse proposée pour expliquer les variations observées entre ces populations est celle de différentes migrations chronologiques ayant pour origine des populations de M. gregalis de régions climatiques et géographiques différentes.