bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and Validation of a High-Throughput Mass Spectrometry Based Urine Metabolomic Test for the Detection of Colonic Adenomatous Polyps
Authors: Deng Lu , Chang David , Foshaug Rae , Eisner Roman , Tso Victor , Wishart David , Fedorak Richard
Published: June 2017

Background: Colorectal cancer is one of the leading causes of cancer deaths worldwide. The detection and removal of the precursors to colorectal cancer, adenomatous polyps, is the key for screening. The aim of this study was to develop a clinically scalable (high throughput, low cost, and high sensitivity) mass spectrometry (MS)-based urine metabolomic test for the detection of adenomatous polyps. Methods: Prospective urine and stool samples were collected from 685 participants enrolled in a colorectal cancer screening program to undergo colonoscopy examination. Statistical analysis was performed on 69 urine metabolites measured by one-dimensional nuclear magnetic resonance spectroscopy to identify key metabolites. A targeted MS assay was then developed to quantify the key metabolites in urine. A MS-based urine metabolomic diagnostic test for adenomatous polyps was established using 67% samples (un-blinded training set) and validated using the remaining 33% samples (blinded testing set). Results: The MS-based urine metabolomic test identifies patients with colonic adenomatous polyps with an AUC of 0.692, outperforming the NMR based predictor with an AUC of 0.670. Conclusion: Here we describe a clinically scalable MS-based urine metabolomic test that identifies patients with adenomatous polyps at a higher level of sensitivity (86%) over current fecal-based tests (<18%).
3-Dimensional Plasmonic Substrates Based on Chicken Eggshell Bio-Templates for SERS-Based Bio-Sensing
Authors: Arnob Md Masud Parvez , Shih Wei-Chuan
Published: June 2017

A simple technique is presented to fabricate stable and reproducible plasmonic substrates using chicken eggshell as bio-templates, an otherwise everyday waste material. The 3-dimensional (3D) submicron features on the outer shell (OS), inner shell (IS), and shell membrane (SM) regions are sputter coated with gold and characterized for surface-enhanced Raman scattering (SERS) performance with respect to coating thickness, enhancement factor (EF), hot-spots distribution, and reproducibility. The OS and IS substrates have similar EF (2.6 × 106 and 1.8 × 106, respectively), while the SM provides smaller EF (1.5 × 105) due to its larger characteristic feature size. The variability from them (calculated as relative standard deviation, %RSD) are less than 7, 15, and 9 for the OS, IS, and SM substrates, respectively. Due to the larger EF and better signal reproducibility, the OS region is used for label-free sensing and identification of Escherichia coli and Bacillus subtilis bacteria as an example of the potential SERS applications. It is demonstrated that the detection limit could reach the level of single bacterial cells. The OS and IS regions are also used as templates to fabricate 3D flexible SERS substrates using polydimethylsiloxane and characterized. The simple, low-cost, and green route of fabricating plasmonic substrates represents an innovative alternative approach without the needs for nanofabrication facilities. Coupled with hyperspectral Raman imaging, high-throughput bio-sensing can be carried out at the single pathogen level.
Effect of Solution pH on the Adsorption of Paracetamol on Chemically Modified Activated Carbons
Authors: Bernal Valentina , Erto Alessandro , Giraldo Liliana , Moreno-Piraján Juan
Published: June 2017

Paracetamol adsorption in acidic, neutral and basic media on three activated carbons with different chemistry surfaces was studied. A granular activated carbon (GAC) was prepared from coconut shell; starting from this sample, an oxidized activated carbon (GACo) was obtained by treating the GAC with a boiling solution of 6 M nitric acid, so to generate a greater number of oxygenated surface groups. In addition, a reduced activated carbon (GACr) was obtained by heating the GAC at 1173 K, to remove the oxygenated surface groups. Paracetamol adsorption was higher for GACr due to the lower presence of oxygenated surface functional groups. Moreover, adsorption was highest at neutral pH. The magnitude of the interactions between paracetamol molecules and activated carbons was studied by measuring the immersion enthalpies of activated carbons in solution of paracetamol at different concentrations and pH values and by calculating the interaction enthalpy. The highest value was obtained for GACr in a paracetamol solution of 1000 mg L−1 at pH 7, confirming that paracetamol adsorption is favoured on basic activated carbons at pH values near to neutrality. Finally, the Gibbs energy changes confirmed the latter result, allowing explaining the different magnitudes of the interactions between paracetamol and activated carbons, as a function of solution pH.
Glucose and Lipid Dysmetabolism in a Rat Model of Prediabetes Induced by a High-Sucrose Diet
Authors: Burgeiro Ana , Cerqueira Manuela , Varela-Rodríguez Bárbara , Nunes Sara , Neto Paula , Pereira Frederico , Reis Flávio , Carvalho Eugénia
Published: June 2017

Glucotoxicity and lipotoxicity are key features of type 2 diabetes mellitus, but their molecular nature during the early stages of the disease remains to be elucidated. We aimed to characterize glucose and lipid metabolism in insulin-target organs (liver, skeletal muscle, and white adipose tissue) in a rat model treated with a high-sucrose (HSu) diet. Two groups of 16-week-old male Wistar rats underwent a 9-week protocol: HSu diet (n = 10)—received 35% of sucrose in drinking water; Control (n = 12)—received vehicle (water). Body weight, food, and beverage consumption were monitored and glucose, insulin, and lipid profiles were measured. Serum and liver triglyceride concentrations, as well as the expression of genes and proteins involved in lipid biosynthesis were assessed. The insulin-stimulated glucose uptake and isoproterenol-stimulated lipolysis were also measured in freshly isolated adipocytes. Even in the absence of obesity, this rat model already presented the main features of prediabetes, with fasting normoglycemia but reduced glucose tolerance, postprandial hyperglycemia, compensatory hyperinsulinemia, as well as decreased insulin sensitivity (resistance) and hypertriglyceridemia. In addition, impaired hepatic function, including altered gluconeogenic and lipogenic pathways, as well as increased expression of acetyl-coenzyme A carboxylase 1 and fatty acid synthase in the liver, were observed, suggesting that liver glucose and lipid dysmetabolism may play a major role at this stage of the disease.
The Association of Serum 25-Hydroxyvitamin D Concentrations and Elevated Glycated Hemoglobin Values: A Longitudinal Study of Non-Diabetic Participants of a Preventive Health Program
Authors: Munasinghe Lalani , Mastroeni Marco , Mastroeni Silmara , Loehr Sarah , Ekwaru John , Veugelers Paul
Published: June 2017

The prevalence of Type 2 Diabetes (T2D) is sharply on the rise, both in Canada and worldwide. As addressing its root causes, i.e., promotion of healthy lifestyles and weight management, has been largely unsuccessful, new clues for primary prevention seem essential to curbing the increasing public health burden of T2D. In the present study, we examined whether improvements in vitamin D status, i.e., serum 25-hydroxyvitamin D [25(OH)D] concentrations, are paralleled by a reduction in the risk for reaching adverse glycated hemoglobin (HbA1c) levels in a community sample of non-diabetic volunteers participating in a preventive health program that encourages the use of vitamin D. Repeated observations on 6565 participants revealed that serum 25(OH)D concentrations increased from 90.8 to 121.3 nmol/L, HbA1c values decreased from 5.6% to 5.5%, and the prevalence of having HbA1c values ≥ 5.8% decreased from 29.5% to 17.4% while in the program. Compared to participants who did not increase their 25(OH)D concentrations during follow-up, those who increased their 25(OH)D concentrations with 50 nmol/L or more were 0.74 times as likely to achieve elevated HbA1c values at follow-up (p = 0.03). These findings suggest that public health initiatives that promote vitamin D status along with healthy lifestyles in the population at large may alleviate the future public health burden associated with T2D.
Correction: Scourboutakos, M.J.; et al. Mismatch between Probiotic Benefits in Trials versus Food Products. Nutrients 2017, 9, 400
Authors: Scourboutakos Mary , Franco-Arellano Beatriz , Murphy Sarah , Norsen Sheida , Comelli Elena , L’Abbé Mary
Published: June 2017

We would like to submit the following correction to our recently published paper [1] because the wrong dose of probiotic was reported. [...]
Suboptimal Iodine Concentration in Breastmilk and Inadequate Iodine Intake among Lactating Women in Norway
Authors: Henjum Sigrun , Lilleengen Anne , Aakre Inger , Dudareva Anna , Gjengedal Elin , Meltzer Helle , Brantsæter Anne
Published: June 2017

Breastfed infants depend on sufficient maternal iodine intake for optimal growth and neurological development. Despite this, few studies have assessed iodine concentrations in human milk and there is currently no published data on iodine status among lactating women in Norway. The aim of this study was to assess iodine concentrations in breast milk (BMIC) in lactating women and estimate iodine intake. Five Mother and Child Health Centres in Oslo were randomly selected during 2016, and 175 lactating women between 2nd and 28th weeks postpartum participated. Each of the women provided four breastmilk samples which were pooled and analysed for iodine concentrations. Participants also provided information on iodine intake from food and supplements covering the last 24 h and the habitual iodine intake (food frequency questionnaire). The median (p25, p75 percentiles) BMIC was 68 (45, 98) µg/L and 76% had BMIC <100 µg/L. Only 19% had taken an iodine-containing supplement during the last 24 h. The median 24 h iodine intake from food (p25, p75) was 121 (82, 162) µg/day and the total intake (food and supplements) was 134 (95, 222) µg/day. The majority of lactating women had suboptimal BMIC and inadequate intake of iodine from food and supplements.
Metabolic Effects of High Glycaemic Index Diets: A Systematic Review and Meta-Analysis of Feeding Studies in Mice and Rats
Authors: Campbell Grace , Senior Alistair , Bell-Anderson Kim
Published: June 2017

Low glycaemic index (LGI) diets are often reported to benefit metabolic health, but the mechanism(s) responsible are not clear. This review aimed to systematically identify studies investigating metabolic effects of high glycaemic index (HGI) versus LGI diets in mice and rats. A meta-analysis was conducted to calculate an overall effect size, Hedge’s standardised mean differences (hereafter d), for each trait, with moderator variables considered in subsequent meta-regressions. Across 30 articles, a HGI diet increased five of the seven traits examined: body weight (d = 0.55; 95% confidence interval: 0.31, 0.79), fat mass (d = 1.08; 0.67, 1.49), fasting circulating insulin levels (d = 0.40; 0.09, 0.71), and glucose (d = 0.80; 0.35, 1.25) and insulin (d = 1.14; 0.50, 1.77) area under the curve during a glucose tolerance test. However, there was substantial heterogeneity among the effects for all traits and the small number of studies enabled only limited investigation of possible confounding factors. HGI diets favour body weight gain, increased adiposity and detrimentally affect parameters of glucose homeostasis in mice and rats, but these effects may not be a direct result of GI per se; rather they may be due to variation in other dietary constituents, such as dietary fibre, a factor which is known to reduce the GI of food and promote health via GI-independent mechanisms.
Vitamin D3 and 25-Hydroxyvitamin D3 Content of Retail White Fish and Eggs in Australia
Authors: Dunlop Eleanor , Cunningham Judy , Sherriff Jill , Lucas Robyn , Greenfield Heather , Arcot Jayashree , Strobel Norbert , Black Lucinda
Published: June 2017

Dietary vitamin D may compensate for inadequate sun exposure; however, there have been few investigations into the vitamin D content of Australian foods. We measured vitamin D3 and 25-hydroxyvitamin D3 (25(OH)D3) in four species of white fish (barramundi, basa, hoki and king dory), and chicken eggs (cage and free-range), purchased from five Australian cities. Samples included local, imported and wild-caught fish, and eggs of varying size from producers with a range of hen stocking densities. Raw and cooked samples were analysed using high performance liquid chromatography with photodiode array. Limits of reporting were 0.2 and 0.1 μg/100 g for vitamin D3 and 25(OH)D3, respectively. The vitamin D3 content of cooked white fish ranged from <0.1 to 2.3 μg/100 g, and the 25(OH)D3 content ranged from 0.3 to 0.7 μg/100 g. The vitamin D3 content of cooked cage eggs ranged from 0.4 to 0.8 μg/100 g, and the 25(OH)D3 content ranged from 0.4 to 1.2 μg/100 g. The vitamin D3 content of cooked free-range eggs ranged from 0.3 to 2.2 μg/100 g, and the 25(OH)D3 content ranged from 0.5 to 0.8 μg/100 g. If, as has been suggested, 25(OH)D3 has five times greater bioactivity than vitamin D3, one cooked serve (100 g) of white fish, and one cooked serve of cage or free-range eggs (120 g) may provide 50% or 100%, respectively, of the current guidelines for the adequate intake of vitamin D (5 µg) for Australians aged 1–50 years.
RETRACTED: Controlled Light Cross-Linking Technique to Prepare Healable Materials
Authors: Abdalla Soliman , Al-Marzouki Fahad , Obaid Abdullah , Bahabri Fatma
Published: June 2017

Detection of defects, damages and cracks in structural polymers is very difficult, and even if they are detected, they will be very hard to be repaired. This is because different kinds of stress can reduce the mechanical efficiency of structural and functional thermosetting composite materials and they can damage the polymer matrix, thus reducing the purposed properties. General healing processes use thermal energy “alone” to heal these materials, thus impairing the intended properties of the materials. Therefore, we present a thermal healing ability that can be switched-on and/or -off at desire using illumination by photon energy (visible and ultra violet). By this technique, one can control local heal while keeping the efficiency of the material nearly unchanged. Furan-based cross-linker chemically reacts (forward- and reverse-reaction) with short-chains of maleimide-substituted poly(lauryl methacrylate) to form robust chemical bonds. This permits us to perform local control over thermally induced de- and/or re-cross-linking techniques. One can extend and apply this technique to cover micro-devices, coating-techniques, fine lithography, micro- and nano-fabrication processes, etc. Therefore, the present work developed a suitable technology with structural polymeric material, which has the ability to self-heal cracks (and damages) and recover structural function.
Measurement of Similarity in Academic Contexts
Authors: Mahian Omid , Treutwein Marius , Estellé Patrice , Wongwises Somchai , Wen Dongsheng , Lorenzini Giulio , Dalkilic Ahmet , Yan Wei-Mon , Sahin Ahmet
Published: June 2017

We propose some reflections, comments and suggestions about the measurement of similar and matched content in scientific papers and documents, and the need to develop appropriate tools and standards for an ethically fair and equitable treatment of authors.
A Method of Panchromatic Image Modification for Satellite Imagery Data Fusion
Authors: Grochala Aleksandra , Kedzierski Michal
Published: June 2017

The standard ratio of spatial resolution between bands for high resolution satellites is 1:4, which is typical when combining images obtained from the same sensor. However, the cost of simultaneously purchasing a set of panchromatic and multispectral images is still relatively high. There is therefore a need to develop methods of data fusion of very high resolution panchromatic imagery with low-cost multispectral data (e.g., Landsat). Combining high resolution images with low resolution images broadens the scope of use of satellite data, however, it is also accompanied by the problem of a large ratio between spatial resolutions, which results in large spectral distortions in the merged images. The authors propose a modification of the panchromatic image in such a way that it includes the spectral and spatial information from both the panchromatic and multispectral images to improve the quality of spectral data integration. This fusion is done based on a weighted average. The weight is determined using a coefficient, which determines the ratio of the amount of information contained in the corresponding pixels of the integrated images. The effectiveness of the author’s algorithm had been tested for six of the most popular fusion methods. The proposed methodology is ideal mainly for statistical and numerical methods, especially Principal Component Analysis and Gram-Schmidt. The author’s algorithm makes it possible to lower the root mean square error by up to 20% for the Principal Component Analysis. The spectral quality was also increased, especially for the spectral bands extending beyond the panchromatic image, where the correlation rose by 18% for the Gram-Schmidt orthogonalization.
A Satellite-Derived Climatological Analysis of Urban Heat Island over Shanghai during 2000–2013
Authors: Huang Weijiao , Li Jun , Guo Qiaoying , Mansaray Lamin , Li Xinxing , Huang Jingfeng
Published: June 2017

The urban heat island is generally conducted based on ground observations of air temperature and remotely sensing of land surface temperature (LST). Satellite remotely sensed LST has the advantages of global coverage and consistent periodicity, which overcomes the weakness of ground observations related to sparse distributions and costs. For human related studies and urban climatology, canopy layer urban heat island (CUHI) based on air temperatures is extremely important. This study has employed remote sensing methodology to produce monthly CUHI climatology maps during the period 2000–2013, revealing the spatiotemporal characteristics of daytime and nighttime CUHI during this period of rapid urbanization in Shanghai. Using stepwise linear regression, daytime and nighttime air temperatures at the four overpass times of Terra/Aqua were estimated based on time series of Terra/Aqua-MODIS LST and other auxiliary variables including enhanced vegetation index, normalized difference water index, solar zenith angle and distance to coast. The validation results indicate that the models produced an accuracy of 1.6–2.6 °C RMSE for the four overpass times of Terra/Aqua. The models based on Terra LST showed higher accuracy than those based on Aqua LST, and nighttime air temperature estimation had higher accuracy than daytime. The seasonal analysis shows daytime CUHI is strongest in summer and weakest in winter, while nighttime CUHI is weakest in summer and strongest in autumn. The annual mean daytime CUHI during 2000–2013 is 1.0 and 2.2 °C for Terra and Aqua overpass, respectively. The annual mean nighttime CUHI is about 1.0 °C for both Terra and Aqua overpass. The resultant CUHI climatology maps provide a spatiotemporal quantification of CUHI with emphasis on temperature gradients. This study has provided information of relevance to urban planners and environmental managers for assessing and monitoring urban thermal environments which are constantly being altered by natural and anthropogenic influences.
Good Practices for Object-Based Accuracy Assessment
Authors: Radoux Julien , Bogaert Patrick
Published: June 2017

Thematic accuracy assessment of a map is a necessary condition for the comparison of research results and the appropriate use of geographic data analysis. Good practices of accuracy assessment already exist, but Geographic Object-Based Image Analysis (GEOBIA) is based on a partition of the spatial area of interest into polygons, which leads to specific issues. In this study, additional guidelines for the validation of object-based maps are provided. These guidelines include recommendations about sampling design, response design and analysis, as well as the evaluation of structural and positional quality. Different types of GEOBIA applications are considered with their specific issues. In particular, accuracy assessment could either focus on the count of spatial entities or on the area of the map that is correctly classified. Two practical examples are given at the end of the manuscript.
Poppy Crop Height and Capsule Volume Estimation from a Single UAS Flight
Authors: Iqbal Faheem , Lucieer Arko , Barry Karen , Wells Reuben
Published: June 2017

The objective of this study was to estimate poppy plant height and capsule volume with remote sensing using an Unmanned Aircraft System (UAS). Data were obtained from field measurements and UAS flights over two poppy crops at Cambridge and Cressy in Tasmania. Imagery acquired from the UAS was used to produce dense point clouds using structure from motion (SfM) and multi-view stereopsis (MVS) techniques. Dense point clouds were used to generate a digital surface model (DSM) and orthophoto mosaic. An RGB index was derived from the orthophoto to extract the bare ground spaces. This bare ground space mask was used to filter the points on the ground, and a digital terrain model (DTM) was interpolated from these points. Plant height values were estimated by subtracting the DSM and DTM to generate a Crop Height Model (CHM). UAS-derived plant height (PH) and field measured PH in Cambridge were strongly correlated with R2 values ranging from 0.93 to 0.97 for Transect 1 and Transect 2, respectively, while at Cressy results from a single flight provided R2 of 0.97. Therefore, the proposed method can be considered an important step towards crop surface model (CSM) generation from a single UAS flight in situations where a bare ground DTM is unavailable. High correlations were found between UAS-derived PH and poppy capsule volume (CV) at capsule formation stage (R2 0.74), with relative error of 19.62%. Results illustrate that plant height can be reliably estimated for poppy crops based on a single UAS flight and can be used to predict opium capsule volume at capsule formation stage.
Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways
Authors: Fraga-Lamas Paula , Fernández-Caramés Tiago , Castedo Luis
Published: June 2017

Nowadays, the railway industry is in a position where it is able to exploit the opportunities created by the IIoT (Industrial Internet of Things) and enabling communication technologies under the paradigm of Internet of Trains. This review details the evolution of communication technologies since the deployment of GSM-R, describing the main alternatives and how railway requirements, specifications and recommendations have evolved over time. The advantages of the latest generation of broadband communication systems (e.g., LTE, 5G, IEEE 802.11ad) and the emergence of Wireless Sensor Networks (WSNs) for the railway environment are also explained together with the strategic roadmap to ensure a smooth migration from GSM-R. Furthermore, this survey focuses on providing a holistic approach, identifying scenarios and architectures where railways could leverage better commercial IIoT capabilities. After reviewing the main industrial developments, short and medium-term IIoT-enabled services for smart railways are evaluated. Then, it is analyzed the latest research on predictive maintenance, smart infrastructure, advanced monitoring of assets, video surveillance systems, railway operations, Passenger and Freight Information Systems (PIS/FIS), train control systems, safety assurance, signaling systems, cyber security and energy efficiency. Overall, it can be stated that the aim of this article is to provide a detailed examination of the state-of-the-art of different technologies and services that will revolutionize the railway industry and will allow for confronting today challenges.
Cell Selection Technique for Millimeter-Wave Cellular Systems with Hybrid Beamforming
Authors: Khan Mohammed Saquib , Maeng Sung Joon , Cho Yong Soo
Published: June 2017

In this paper, a cell selection technique for millimeter-wave (mm-wave) cellular systems with hybrid beamforming is proposed. To select a serving cell, taking into account hybrid beamforming structures in a mm-wave cellular system, the angles of arrival and departure for all candidate cells need to be estimated in the initialization stage, requiring a long processing time. To enable simultaneous multi-beam transmissions in a multi-cell environment, a cell and beam synchronization signal (CBSS) is proposed to carry beam IDs in conjunction with cell IDs. A serving cell maximizing the channel capacity of the hybrid beamformer is selected with the estimated channel information and the optimum precoder. The performance of the proposed technique is evaluated by a computer simulation with a spatial channel model in a simple model of a mm-wave cellular system. It is shown by simulation that the proposed technique with the CBSS can significantly reduce the processing time for channel estimation and cell selection, and can achieve additional gains in channel capacity, or in bit error rate, compared to that obtained by conventional techniques.
Performance Optimization Design for a High-Speed Weak FBG Interrogation System Based on DFB Laser
Authors: Yao Yiqiang , Li Zhengying , Wang Yiming , Liu Siqi , Dai Yutang , Gong Jianmin , Wang Lixin
Published: June 2017

A performance optimization design for a high-speed fiber Bragg grating (FBG) interrogation system based on a high-speed distributed feedback (DFB) swept laser is proposed. A time-division-multiplexing sensor network with identical weak FBGs is constituted to realize high-capacity sensing. In order to further improve the multiplexing capacity, a waveform repairing algorithm is designed to extend the dynamic demodulation range of FBG sensors. It is based on the fact that the spectrum of an FBG keeps stable over a long period of time. Compared with the pre-collected spectra, the distorted spectra waveform are identified and repaired. Experimental results show that all the identical weak FBGs are distinguished and demodulated at the speed of 100 kHz with a linearity of above 0.99, and the range of dynamic demodulation is extended by 40%.
Block-Diagonal Constrained Low-Rank and Sparse Graph for Discriminant Analysis of Image Data
Authors: Guo Tan , Tan Xiaoheng , Zhang Lei , Xie Chaochen , Deng Lu
Published: June 2017

Recently, low-rank and sparse model-based dimensionality reduction (DR) methods have aroused lots of interest. In this paper, we propose an effective supervised DR technique named block-diagonal constrained low-rank and sparse-based embedding (BLSE). BLSE has two steps, i.e., block-diagonal constrained low-rank and sparse representation (BLSR) and block-diagonal constrained low-rank and sparse graph embedding (BLSGE). Firstly, the BLSR model is developed to reveal the intrinsic intra-class and inter-class adjacent relationships as well as the local neighborhood relations and global structure of data. Particularly, there are mainly three items considered in BLSR. First, a sparse constraint is required to discover the local data structure. Second, a low-rank criterion is incorporated to capture the global structure in data. Third, a block-diagonal regularization is imposed on the representation to promote discrimination between different classes. Based on BLSR, informative and discriminative intra-class and inter-class graphs are constructed. With the graphs, BLSGE seeks a low-dimensional embedding subspace by simultaneously minimizing the intra-class scatter and maximizing the inter-class scatter. Experiments on public benchmark face and object image datasets demonstrate the effectiveness of the proposed approach.
Trimethylamine Sensors Based on Au-Modified Hierarchical Porous Single-Crystalline ZnO Nanosheets
Authors: Meng Fanli , Zheng Hanxiong , Sun Yufeng , Li Minqiang , Liu Jinhuai
Published: June 2017

It is of great significance for dynamic monitoring of foods in storage or during the transportation process through on-line detecting trimethylamine (TMA). Here, TMA were sensitively detected by Au-modified hierarchical porous single-crystalline ZnO nanosheets (HPSCZNs)-based sensors. The HPSCZNs were synthesized through a one-pot wet-chemical method followed by an annealing treatment. Polyethyleneimine (PEI) was used to modify the surface of the HPSCZNs, and then the PEI-modified samples were mixed with Au nanoparticles (NPs) sol solution. Electrostatic interactions drive Au nanoparticles loading onto the surface of the HPSCZNs. The Au-modified HPSCZNs were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM) and energy dispersive spectrum (EDS), respectively. The results show that Au-modified HPSCZNs-based sensors exhibit a high response to TMA. The linear range is from 10 to 300 ppb; while the detection limit is 10 ppb, which is the lowest value to our knowledge.
Challenges Confronting Rural Dwellers in Accessing Health Information in Ghana: Shai Osudoku District in Perspective
Authors: Sokey Philippa Pascalina , Adisah-Atta Isaac
Published: June 2017

The focus of the study was to investigate health information seeking behavior as well as the barriers to health information seeking among rural dwellers in Ghana using Shai Osudoku District as a case study. The convenient and purposive sampling technique was used to sample 210 community members within Shai Osudoku District. The Statistical Package for Social Sciences (SPSS) version 21.0 was employed to process the quantitative data. The data was processed into statistical tables and charts for interpretation and discussion. The outcome of the study revealed that the most common sources of health information seeking among rural community members in the district of investigation are posters, health care providers and families/friends, with radio being the most used platform. It was also revealed that those respondents with higher level of education are more likely to use the Internet and television in accessing health information (p = 0.001 and 0.000 respectively). Similarly, respondents with primary education or informal education were more likely to contact family members for health information (p = 0.001) The outcome of the study also shows that many rural communities in Ghana, particularly rural dwellers of Shai Osudoku District, face numerous challenges in accessing health information. Notable among them are language barrier, location of the villages and inaccessibility to emerging technologies such as mobile phones and television sets. We conclude that, policies for improving health information access and reducing barriers to health information seeking in rural communities should be designed and implemented by Ghana health service. Also, education on how to access health-related information with easily accessible sources either free or at low-priced could be a way to help people in rural settings in Ghana with limited health information.
Energy Expenditure, Availability, and Dietary Intake Assessment in Competitive Female Dragon Boat Athletes
Authors: Ong Jun , Brownlee Iain
Published: June 2017

Dragon boat racing requires high physical activity levels during competition and training. The female athletic triad refers to a number of negative health consequences (e.g., amenorrhoea, low bone mineral density, and low energy availability) that may result from high physical activity in female athletes in parallel with inadequate dietary intake. This study aimed to estimate energy expenditure and dietary adequacy in female competitive dragon boat athletes. Following ethical approval, energy expenditure was assessed by use of SensewearTM armbands (which measure movement as well as galvanic heat loss) on nine dragon boat athletes preparing for the Southeast Asian Games 2013. The mean estimated energy expenditure for the athletes was 2226 ± 711 kJ/day. Mean total energy, recorded using three-day food diaries (6715 ± 2518 kJ/day) and energy availability (99 ± 56 kJ/kg/day), were low. Estimated micronutrient intake (calcium 699.3 ± 328.7 mg/day and iron 10.6 ± 4.7 mg/day) did not meet recommended daily allowances of 800 mg/day and 19 mg/day, respectively. The low intake of energy, calcium, and iron noted within this study could have negative effects on performance and short- and long-term health in female dragon boat athletes.
Social Impact Assessment of Rebuilding an Urban Neighborhood: A Case Study of a Demolition and Reconstruction Project in Petah Tikva, Israel
Authors: Trop Tamar
Published: June 2017

The rebuilding of deteriorating residential areas is being replicated rapidly throughout Israeli cities despite limited assessment of the social consequences. This paper presents the findings of a social impact assessment (SIA) applied to a demolition and reconstruction case study carried out in a low-income neighborhood in Petah Tikva. The project represents a typical example of developer-led removal of low-rise, mixed tenure housing replaced by privately owned high-rise housing. A mixed-methods approach was used to explore the actual and potential social implications from different points of view held by the various public and private actors in the project. The research was based on the analysis of official documents, field observations, and semi-structured interviews with key stakeholders involved in the rebuilding process, and with affected community representatives. The case study was analyzed with regard to three components: the public engagement process, financial well-being, and community cohesion and stability. The assessment revealed insufficient public and municipal involvement, the displacement of the majority of low-income households, disregard for the provision of community infrastructure, and the weakening of community stability. The paper suggests various ways to improve the outcomes of the project for all the affected parties, and argues that incorporating the SIA mechanism in this particular form of urban renewal might improve strategic decision-making and promote urban sustainability.
Tourism Pedagogy and Visitor Responsibilities in Destinations of Local-Global Significance: Climate Change and Social-Political Action
Authors: Jamal Tazim , Smith Brian
Published: June 2017

This paper examines the issue of climate change pedagogy and social action in tourism, with particular interest in globally-significant destinations under threat from climate change. Little is understood of the role and responsibility of visitors as key stakeholders in climate change-related action or the potential of such sites to foster environmental learning, as well as social and political action on climate change. Drawing on insights from Aldo Leopold and John Dewey, it is argued here that destinations that are valued intrinsically for their ecological and cultural importance are (or ought to be) sites of enjoyment and pedagogy, facilitating experiential learning, care, responsibility and civic action towards their conservation. An exploratory case study of visitors to the Great Barrier Reef offers corroborative insights for such a “reef ethic” as described in this paper, related to visitor experience, learning and action in this World Heritage Area. The results of this paper support the need for a stronger pedagogic role to be adopted by tourism experience providers and site managers to facilitate climate change literacy and responsible action (hence facilitating global environmental citizenship). Their responsibility and that of reef visitors is discussed further.
Determination of the Height of the Water-Conducting Fractured Zone in Difficult Geological Structures: A Case Study in Zhao Gu No. 1 Coal Seam
Authors: Zhang Shuai , Tang Shijie , Zhang Dongsheng , Fan Gangwei , Wang Zhen
Published: June 2017

The method for determining the upper limit for safe mining with regard to water and sand collapse prevention under thick alluvium and thin bedrock layers is a critical parameter for ensuring the sustainable development of a mine. The height of the water-conducting fractured zone (HWCFZ) is an important index parameter in the prediction and prevention of water and sand collapse. This research was conducted based on the concrete geological condition of the Zhao Gu No. 1 coal mine. First, a field measurement method was used to observe the HWCFZ of a mined panel. The discrete element method was applied to establish a corresponding model, which was calibrated using the measurement data. Then, calculation models for different bedrock thicknesses were developed to analyze the evolution law of the water-conducting fractured zone at different bedrock thicknesses and mining heights. The safe mining upper limits for different bedrock thicknesses were obtained. The relationships between the developing HWCFZ and bedrock thickness/mining height were determined. Using the research results as the main indices, an industrial experiment was performed on the 11,191 panel. The partition limit mining height was implemented in the panel, and safe production was realized. On the basis of the research results, 40,199,336.3 t of coal resources were successfully released, increasing the resource recovery rate by 31.72% and extending the mine service life by 12.5 years. This study not only provided technical support for the sustainable development of the Zhao Gu No. 1 coal seam, but could also be used for safe and highly efficient mining in other coal mines under similar geological conditions.
Sustainable Land-Use Planning to Improve the Coastal Resilience of the Social-Ecological Landscape
Authors: Kim Min , You Soojin , Chon Jinhyung , Lee Junga
Published: June 2017

The dynamics of land-use transitions decrease the coastal resilience of the social-ecological landscape (SEL), particularly in light of the fact that it is necessary to analyze the causal relationship between the two systems because operations of the social system and the ecological system are correlated. The purpose of this study is to analyze the dynamics of the coastal SEL and create a sustainable land-use planning (SLUP) strategy to enhance coastal resilience. The selected study site was Shindu-ri, South Korea, where land-use transitions are increasing and coastal resilience is therefore decreasing. Systems thinking was used to analyze the study, which was performed in four steps. First, the issues affecting the coastal area in Shindu-ri were defined as coastal landscape management, the agricultural structure, and the tourism industry structure. Second, the main variables for each issue were defined, and causal relationships between the main variables were created. Third, a holistic causal loop diagram was built based on both dynamic thinking and causal thinking. Fourth, five land-uses, including those of the coastal forest, the coastal grassland, the coastal dune, the agricultural area, and developed sites, were selected as leverage points for developing SLUP strategies to increase coastal resilience. The results show that “decrease in the size of the coastal forest”, “decrease in the size of the coastal dune”, and “increase in the size of the coastal grasslands” were considered parts of a land-use plan to enhance the resilience of the Shindu-ri SEL. This study developed integrated coastal land-use planning strategies that may provide effective solutions for complex and dynamic issues in the coastal SEL. Additionally, the results may be utilized as basic data to build and implement coastal land-use planning strategies.
Study Informing Policy on Chinese Ancient Town Tourism Based on a Tourist Satisfaction Survey: A Case Study in the City of Chengdu
Authors: Liu Yan , Ning Shaowei , Oyama Isao , Li Li
Published: June 2017

This paper discusses the customer satisfaction of tourists in Chengdu and proposes corresponding countermeasures for tourism development of Chinese traditional areas. The Customer Satisfaction (CS) analysis method is applied to draw the following conclusions: visitors are satisfied with the historical landscapes—such as traditional historical streets, historical buildings as well as waterside landscapes, natural landscapes and infrastructures—which are the key points in the future development of tourism, and are essential to maintain. On the other hand, priority should be given to improving the current shortfalls, namely the protection and improvement of traditional culture, such as the spirit and experience of local life, as well as the experience of traditional culture. In this regard, it is recommended that direct measures are taken, such as preventing the loss of local residents and calling for a return of indigenous people to their hometowns to maintain local traditional cultures. What is fundamentally necessary is to help local residents understand tourists’ desperate demands for local traditional cultural resources. In parallel, it will be important to inspire local residents to value and celebrate their traditional cultural lives and resources.
Distributed Optimisation Algorithm for Demand Side Management in a Grid-Connected Smart Microgrid
Authors: Longe Omowunmi , Ouahada Khmaies , Rimer Suvendi , Ferreira Hendrik , Han Vinck A.
Published: June 2017

The contributions of Distributed Energy Generation (DEG) and Distributed Energy Storage (DES) for Demand Side Management (DSM) purposes in a smart macrogrid or microgrid cannot be over-emphasised. However, standalone DEG and DES can lead to under-utilisation of energy generation by consumers and financial investments; in grid-connection mode, though, DEG and DES can offer arbitrage opportunities for consumers and utility provider(s). A grid-connected smart microgrid comprising heterogeneous (active and passive) smart consumers, electric vehicles and a large-scale centralised energy storage is considered in this paper. Efficient energy management by each smart entity is carried out by the proposed Microgrid Energy Management Distributed Optimisation Algorithm (MEM-DOA) installed distributively within the network according to consumer type. Each smart consumer optimises its energy consumption and trading for comfort (demand satisfaction) and profit. The proposed model was observed to yield better consumer satisfaction, higher financial savings, and reduced Peak-to-Average-Ratio (PAR) demand on the utility grid. Other associated benefits of the model include reduced investment on peaker plants, grid reliability and environmental benefits. The MEM-DOA also offered participating smart consumers energy and tariff incentives so that passive smart consumers do not benefit more than active smart consumers, as was the case with some previous energy management algorithms.
The Potential of Animal By-Products in Food Systems: Production, Prospects and Challenges
Authors: Alao Babatunde , Falowo Andrew , Chulayo Amanda , Muchenje Voster
Published: June 2017

The consumption of animal by-products has continued to witness tremendous growth over the last decade. This is due to its potential to combat protein malnutrition and food insecurity in many countries. Shortly after slaughter, animal by-products are separated into edible or inedible parts. The edible part accounts for 55% of the production while the remaining part is regarded as inedible by-products (IEBPs). These IEBPs can be re-processed into sustainable products for agricultural and industrial uses. The efficient utilization of animal by-products can alleviate the prevailing cost and scarcity of feed materials, which have high competition between animals and humans. This will also aid in reducing environmental pollution in the society. In this regard, proper utilization of animal by-products such as rumen digesta can result in cheaper feed, reduction in competition and lower cost of production. Over the years, the utilization of animal by-products such as rumen digesta as feed in livestock feed has been successfully carried out without any adverse effect on the animals. However, there are emerging gaps that need to be further addressed regarding the food security and sustainability of the products. Therefore, the objective of this review highlights the efficacy and effectiveness of using animal by-products as alternative sources of feed ingredients, and the constraints associated with their production to boost livestock performance in the industry at large.
Hybrid and Cooperative Strategies Using Harmony Search and Artificial Immune Systems for Solving the Nurse Rostering Problem
Authors: Jin Suk Ho , Yun Ho Yeong , Jeong Suk Jae , Kim Kyung Sup
Published: June 2017

The nurse rostering problem is an important search problem that features many constraints. In a nurse rostering problem, these constraints are defined by processes such as maintaining work regulations, assigning nurse shifts, and considering nurse preferences. A number of approaches to address these constraints, such as penalty function methods, have been investigated in the literature. We propose two types of hybrid metaheuristic approaches for solving the nurse rostering problem, which are based on combining harmony search techniques and artificial immune systems to balance local and global searches and prevent slow convergence speeds and prematurity. The proposed algorithms are evaluated against a benchmarking dataset of nurse rostering problems; the results show that they identify better or best known solutions compared to those identified in other studies for most instances. The results also show that the combination of harmony search and artificial immune systems is better suited than using single metaheuristic or other hybridization methods for finding upper-bound solutions for nurse rostering problems and discrete optimization problems.
Extension of the TODIM Method to Intuitionistic Linguistic Multiple Attribute Decision Making
Authors: Wang Shuwei , Liu Jia
Published: June 2017

Practical decision situations are becoming increasingly complicated. It is common for a person to select or rank alternatives with respect to multiple attributes, and the TODIM (an acronym in Portuguese of interactive and multiple attribute decision making) method, which is one of the first multiple attribute decision making (MADM) methods based on prospect theory, has received more attention due to its great performance in considering the bounded rationality of decision makers (DMs). However, the classical TODIM method can only handle the MADM problems with crisp numbers. In this paper, considering that intuitionistic linguistic variables are convenient to describe uncertain or imprecise information, we propose the intuitionistic linguistic TODIM (IL-TODIM) method and intuitionistic uncertain linguistic TODIM (IUL-TODIM) method to solve uncertain MADM problems with IL and IUL variables, respectively. Additionally, a novel distance measure for IUL numbers is developed, based on which we can obtain the corresponding dominance degree of one alternative over another. Finally, examples are provided to show the validity of the proposed methods, and we also conduct a comparison of the results between the IL-TODIM method and the existing intuitionistic fuzzy MADM methods to illustrate the effectiveness of our proposed methods.