bluuebunny/crossref_metadata_2025 huggingface dataset:
Total, Added, and Free Sugar Consumption and Adherence to Guidelines in Switzerland: Results from the First National Nutrition Survey menuCH
Authors: Chatelan Angeline , Gaillard Pierre , Kruseman Maaike , Keller Amelie
Published: May 2019

The World Health Organization (WHO) recommends reducing free sugars to less than 10% of total energy intake (TEI) due to their potential implications in weight gain and dental caries. Our objectives were to (1) estimate the intake of total, added, and free sugars, (2) define the main sugar sources, and (3) evaluate the adherence to sugar guidelines. The first national nutrition survey 2014–2015 included non-institutional adults aged 18–75 years. Diet was assessed with two non-consecutive 24-hour dietary recalls in 2057 participants. Added and free sugar content was systematically estimated by two dietitians using available information from the manufacturer and/or standard recipe/composition. Usual daily intake distributions were modeled and weighted for sampling design, non-response, weekdays, and seasons. Total, added, and free sugar intake was respectively 107 g (±44), 53 g (±36), and 65 g (±40), representing 19%, 9%, and 11% of TEI. Sugar consumption was higher among younger adults and lower among people living in the Italian-speaking region. The three main food sources of free sugars were: (1) sweet products (47% of total free sugars), in particular sweet spreads (15%) and cakes/cookies (11%); (2) beverages (29%), mainly fruit and vegetable juices (13%), and sugar-sweetened beverages (12%, but 20% in younger adults); and (3) dairy products (9%), with yogurt accounting for 6%. Respectively, 44% of women and 45% of men had free sugar intake below 10% of TEI. Of people aged between 18–29, 30–64, and 65–75 years, 36%, 45%, and 53% had free sugar intake below 10% of TEI, respectively. The prevalence of Swiss people with free sugar intake that was <5% of the TEI was 8%. Adherence to the WHO recommendations guidelines was generally low in Switzerland, particularly among young adults, and in line with other high-income countries.
Do Transferrin Levels Predict Haemodialysis Adequacy in Patients with End-Stage Renal Disease?
Authors: Tarantino Giovanni , Vinciguerra Mauro , Ragosta Annalisa , Citro Vincenzo , Conforti Paolo , Salvati Giovanni , Sorrentino Aniello , Barretta Luca , Balsano Clara , Capone Domenico
Published: May 2019

Background: Since haemodialysis is a lifesaving therapy, adequate control measures are necessary to evaluate its adequacy and to constantly adjust the dose to reduce hospitalisation and prolong patient survival. Malnutrition is common in haemodialysis patients and closely related to morbidity and mortality. Patients undergoing haemodialysis have a high prevalence of protein-energy malnutrition and inflammation, along with abnormal iron status. The haemodialysis dose delivered is an important predictor of patient outcome. Aim: To evaluate through haemodialysis adequacy, which parameter(s), if any, better predict Kt/V, among those used to assess nutritional status, inflammation response, and iron status. Methods: We retrospectively studied 78 patients undergoing haemodialysis due to end-stage renal disease. As parameters of nutritional status, geriatric nutritional risk index (GNRI), transferrin levels, lymphocyte count, and albumin concentration were analysed. As signs of inflammation, C reactive protein (CRP) levels and ferritin concentrations were studied as well. Iron status was evaluated by both transferrin and ferritin levels, as well as by haemoglobin (Hb) concentration. Results: The core finding of our retrospective study is that transferrin levels predict the adequacy of haemodialysis expressed as Kt/V; the latter is the only predictor (P = 0.001) when adjusting for CRP concentrations, a solid marker of inflammation, and for ferritin levels considered an iron-storage protein, but also a parameter of inflammatory response. Discussion and Conclusion: In keeping with the results of this study, we underline that the use of transferrin levels to assess haemodialysis quality combine into a single test the evaluation of the three most important factors of protein-energy wasting.
The Expanding Role of MT1-MMP in Cancer Progression
Authors: Knapinska Anna M. , Fields Gregg B.
Published: May 2019

For over 20 years, membrane type 1 matrix metalloproteinase (MT1-MMP) has been recognized as a key component in cancer progression. Initially, the primary roles assigned to MT1-MMP were the activation of proMMP-2 and degradation of fibrillar collagen. Proteomics has revealed a great array of MT1-MMP substrates, and MT1-MMP selective inhibitors have allowed for a more complete mapping of MT1-MMP biological functions. MT1-MMP has extensive sheddase activities, is both a positive and negative regulator of angiogenesis, can act intracellularly and as a transcription factor, and modulates immune responses. We presently examine the multi-faceted role of MT1-MMP in cancer, with a consideration of how the diversity of MT1-MMP behaviors impacts the application of MT1-MMP inhibitors.
Micro-Injection Moulding of Poly(vinylpyrrolidone-vinyl acetate) Binary and Ternary Amorphous Solid Dispersions
Authors: Pezzoli Romina , Hopkins Jnr Michael , Direur Guillaume , Gately Noel , Lyons John G. , Higginbotham Clement L.
Published: May 2019

Micro-injection moulding (µIM) was used for the production of enteric tablets of plasticised and unplasticised solid dispersions of poly(vinylpyrrolidone-vinyl acetate) (PVPVA), and the effect of the mechanical and thermal treatment on the properties of the dispersions was investigated. The physical state of the systems showed to be unaltered by the µIM step, maintaining the drug in the amorphous state. The dissolution profile of the tablets showed a slower dissolution rate due to the lower surface to volume ratio compared to the extruded strands. The lack of solubility of the doses in the acidic medium as a consequence of the acidity of indomethacin (IND) was observed. However, in neutral pH the drug dissolution showed slower rates without affecting the dissolution extent, showing a potential application for the development of controlled release doses. Overall, the production of tablets of amorphous solid dispersions (ASD), coupling hot-melt extrusion (HME) and µIM, proved to be a successful approach towards a continuous automated manufacturing process to improve the aqueous solubility of poorly water-soluble drugs.
Elucidating the Influence of Tumor Presence on the Polymersome Circulation Time in Mice
Authors: de Kruijff Robin M. , Raavé René , Kip Annemarie , Molkenboer-Kuenen Janneke , Roobol Stefan J. , Essers Jeroen , Heskamp Sandra , Denkova Antonia G.
Published: May 2019

The use of nanoparticles as tumor-targeting agents is steadily increasing, and the influence of nanoparticle characteristics such as size and stealthiness have been established for a large number of nanocarrier systems. However, not much is known about the impact of tumor presence on nanocarrier circulation times. This paper reports on the influence of tumor presence on the in vivo circulation time and biodistribution of polybutadiene-polyethylene oxide (PBd-PEO) polymersomes. For this purpose, polymersomes were loaded with the gamma-emitter 111In and administered intravenously, followed by timed ex vivo biodistribution. A large reduction in circulation time was observed for tumor-bearing mice, with a circulation half-life of merely 5 min (R2 = 0.98) vs 117 min (R2 = 0.95) in healthy mice. To determine whether the rapid polymersome clearance observed in tumor-bearing mice was mediated by macrophages, chlodronate liposomes were administered to both healthy and tumor-bearing mice prior to the intravenous injection of radiolabeled polymersomes to deplete their macrophages. Pretreatment with chlodronate liposomes depleted macrophages in the spleen and liver and restored the circulation time of the polymersomes with no significant difference in circulation time between healthy mice and tumor-bearing mice pretreated with clodronate liposomes (15.2 ± 1.2% ID/g and 13.6 ± 2.7% ID/g, respectively, at 4 h p.i. with p = 0.3). This indicates that activation of macrophages due to tumor presence indeed affected polymersome clearance rate. Thus, next to particle design, the presence of a tumor can also greatly impact circulation times and should be taken into account when designing studies to evaluate the distribution of polymersomes.
An Exploration of the Roles of Ferric Iron Chelation-Strategy Components in the Leaves and Roots of Maize Plants
Authors: Saridis Georgios , Chorianopoulou Styliani N. , Ventouris Yannis E. , Sigalas Petros P. , Bouranis Dimitris L.
Published: May 2019

Plants have developed sophisticated mechanisms for acquiring iron from the soil. In the graminaceous species, a chelation strategy is in charge, in order to take up ferric iron from the rhizosphere. The ferric iron chelation-strategy components may also be present in the aerial plant parts. The aim of this work was to search for possible roles of those components in maize leaves. To this end, the expression patterns of ferric iron chelation-strategy components were monitored in the leaves and roots of mycorrhizal and non-mycorrhizal sulfur-deprived maize plants, both before and after sulfate supply. The two levels of sulfur supply were chosen due to the strong impact of this nutrient on iron homeostasis, whilst mycorrhizal symbiosis was chosen as a treatment that forces the plant to optimize its photosynthetic efficiency, in order to feed the fungus. The results, in combination with the findings of our previous works, suggest a role for the aforementioned components in ferric chelation and/or unloading from the xylem vessels to the aerial plant parts. It is proposed that the gene expression of the DMA exporter ZmTOM1 can be used as an early indicator for the establishment of a mycorrhizal symbiotic relationship in maize.
Preparation and Characterization of Microcellulose and Nanocellulose Fibers from Artemisia Vulgaris Bast
Authors: Nie Kai , Song Yan , Liu Shaoyang , Han Guangting , Ben Haoxi , Ragauskas Arthur J. , Jiang Wei
Published: May 2019

Artemisia vulgaris is an economic plant that is spreading widely in central China. Its unused bast generates a large amount of biomass waste annually. Utilizing the fibers in Artemisia vulgaris bast may provide a new solution to this problem. This research attempts to strengthen the understanding of Artemisia vulgaris by analyzing its fiber compositions and preparing micro- and nano-cellulose fibers, which can be used as raw materials for composites. In this work, Artemisia vulgaris bast powder (AP) and microcellulose and nanocellulose fibers (AMFs and ANFs) were produced and characterized by optical microscopy, transmission electron microscopy (TEM), X-ray diffraction (XRD), thermogravimetric analysis (TG), and bacteriostatic test. The results indicated that cellulose, hemicellulose, and lignin were the main components in the Artemisia vulgaris bast. The cellulose content reached 40.9%. The Artemisia vulgaris single fibers were microcellulose fibers with an average length of 850.6 μm and a diameter of 14.4 μm. Moreover, the AMF had considerable antibacterial ability with an antibacterial ratio of 36.6%. The ANF showed a length range of 250–300 nm and a diameter of 10–20 nm, and it had a higher crystallinity (76%) and a lower thermal stability (initial degradation temperature of 183 °C) compared with raw ANF (233 °C). This study provides fundamental information on Artemisia vulgaris bast cellulose for its subsequent utilization.
Did the Research Faculty at a Small Canadian Business School Publish in “Predatory” Venues? This Depends on the Publishing Blacklist
Authors: Tsigaris Panagiotis , Teixeira da Silva Jaime A.
Published: May 2019

The first ever quantitative paper to claim that papers published in so-called “predatory” open access (OA) journals and publishers were financially remunerated emerged from Canada. That study, published in the Journal of Scholarly Publishing (University of Toronto Press) in 2017 by Derek Pyne at Thompson Rivers University, garnered wide public and media attention, even by renowned news outlets such as The New York Times and The Economist. Pyne claimed to have found that most of the human subjects of his study had published in “predatory” OA journals, or in OA journals published by “predatory” OA publishers, as classified by Jeffrey Beall. In this paper, we compare the so-called “predatory” publications referred to in Pyne’s study with Walt Crawford’s gray open access (grayOA) list, as well as with Cabell’s blacklist, which was introduced in 2017. Using Cabell’s blacklist and Crawford’s grayOA list, we found that approximately 2% of the total publications (451) of the research faculty at the small business school were published in potentially questionable journals, contrary to the Pyne study, which found significantly more publications (15.3%). In addition, this research casts doubt to the claim made in Pyne’s study that research faculty members who have predatory publications have 4.3 “predatory” publications on average.
The Determinants of Market-Implied Recovery Rates
Authors: François Pascal
Published: May 2019

In the presence of recovery risk, the recovery rate is a random variable whose risk-neutral expectation can be inferred from the prices of defaultable instruments. I extract market-implied recovery rates from the term structures of credit default swap spreads for a sample of 497 United States (U.S.) corporate issuers over the 2005–2014 period. I analyze the explanatory factors of market-implied recovery rates within a linear regression framework and also within a Tobit model, and I compare them with the determinants of historical recovery rates that were previously identified in the literature. In contrast to their historical counterparts, market-implied recovery rates are mostly driven by macroeconomic factors and long-term, issuer-specific variables. Short-term financial variables and industry conditions significantly impact the slope of market-implied recovery rates. These results indicate that the design of a recovery risk model should be based on specific market factors, not on the statistical evidence that is provided by historical recovery rates.
Spatial Distribution of Forest Fire Emissions: A Case Study in Three Mexican Ecoregions
Authors: Cruz-López María Isabel , Manzo-Delgado Lilia de Lourdes , Aguirre-Gómez Raúl , Chuvieco Emilio , Equihua-Benítez Julián Alberto
Published: May 2019

This study shows a simplified approach for calculating emissions associated with forest fires in Mexico, based on different satellite observation products: the biomass, burnt area, emission factors, and burning efficiency. Biomass loads were based on a Mexican biomass map, updated with the net primary productivity products. The burning efficiency was estimated from a Random Forest Regression (RFR) model, which considered the fuel, weather and topographical conditions. The burned areas were the downloaded Maryland University MCD64c6 product. The emission factors were obtained from well-known estimations, corrected by a dedicated US Forest Service and Mexican campaign. The uncertainty was estimated from an integrative method. Our method was applied to a four-year period, 2011–2014, in three Mexican ecoregions. The total burned in the study region was 12,898 km2 (about 4% of the area), producing 67.5 (±20) Tg of CO2. Discrepancies of the land cover maps were found to be the main cause of a low correlation between our estimations and the Global Emission Database (GFED). The emissions were clearly associated to precipitation patterns. They mainly affected dry and tropical forests (almost 50% of all emissions). Six priority areas were identified, where prevention or mitigation measures must be implemented.
Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables
Authors: Zeng Yijian , Su Zhongbo , Barmpadimos Iakovos , Perrels Adriaan , Poli Paul , Boersma K. Folkert , Frey Anna , Ma Xiaogang , de Bruin Karianne , Goosen Hasse , John Viju O. , Roebeling Rob , Schulz Jörg , Timmermans Wim
Published: May 2019

Climate services are becoming the backbone to translate climate knowledge, data & information into climate-informed decision-making at all levels, from public administrations to business operators. It is essential to assess the technical and scientific quality of the provided climate data and information products, including their value to users, to establish the relation of trust between providers of climate data and information and various downstream users. The climate data and information products (i.e., from satellite, in-situ and reanalysis) shall be fully traceable, adequately documented and uncertainty quantified and can provide sufficient guidance for users to address their specific needs and feedbacks. This paper discusses details on how to apply the quality assurance framework to deliver timely assessments of the quality and usability of Essential Climate Variable (ECV) products. It identifies an overarching structure for the quality assessment of single product ECVs (i.e., consists of only one single variable), multi-product ECVs (i.e., more than one single parameter), thematic products (i.e., water, energy and carbon cycles), as well as the usability assessment. To support a traceable climate service, other than rigorously evaluating the technical and scientific quality of ECV products, which represent the upstream of climate services, how the uncertainty propagates into the resulting benefit (utility) for the users of the climate service needs to be detailed.
An Improved Approach Considering Intraclass Variability for Mapping Winter Wheat Using Multitemporal MODIS EVI Images
Authors: Yang Yanjun , Tao Bo , Ren Wei , Zourarakis Demetrio P. , Masri Bassil El , Sun Zhigang , Tian Qingjiu
Published: May 2019

Winter wheat is one of the major cereal crops in the world. Monitoring and mapping its spatial distribution has significant implications for agriculture management, water resources utilization, and food security. Generally, winter wheat has distinguished phenological stages during the growing season, which form a unique EVI (Enhanced Vegetation Index) time series curve and differ considerably from other crop types and natural vegetation. Since early 2000, the MODIS EVI product has become the primary dataset for satellite-based crop monitoring at large scales due to its high temporal resolution, huge observation scope, and timely availability. However, the intraclass variability of winter wheat caused by field conditions and agricultural practices might lower the mapping accuracy, which has received little attention in previous studies. Here, we present a winter wheat mapping approach that integrates the variables derived from the MODIS EVI time series taking into account intraclass variability. We applied this approach to two winter wheat concentration areas, the state of Kansas in the U.S. and the North China Plain region (NCP). The results were evaluated against crop-specific maps or statistical data at the state/regional level, county level, and site level. Compared with statistical data, the accuracies in Kansas and the NCP were 95.1% and 92.9% at the state/regional level with R2 (Coefficient of Determination) values of 0.96 and 0.71 at the county level, respectively. Overall accuracies in confusion matrix were evaluated by validation samples in both Kansas (90.3%) and the NCP (85.0%) at the site level. Comparisons with methods without considering intraclass variability demonstrated that winter wheat mapping accuracies were improved by 17% in Kansas and 15% in the NCP using the improved approach. Further analysis indicated that our approach performed better in areas with lower landscape fragmentation, which may partly explain the relatively higher accuracy of winter wheat mapping in Kansas. This study provides a new perspective for generating multiple subclasses as training inputs to decrease the intraclass differences for crop type detection based on the MODIS EVI time series. This approach provides a flexible framework with few variables and fewer training samples that could facilitate its application to multiple-crop-type mapping at large scales.
An Alternative Approach to Detecting Cancer Cells by Multi-Directional Fluorescence Detection System Using Cost-Effective LED and Photodiode
Authors: Cho Kyoungrae , Seo Jeong-hyeok , Heo Gyeongyong , Choe Se-woon
Published: May 2019

The enumeration of cellular proliferation by covering from hemocytometer to flow cytometer is an important procedure in the study of cancer development. For example, hemocytometer has been popularly employed to perform manual cell counting. It is easily achieved at a low-cost, however, manual cell counting is labor-intensive and prone to error for a large number of cells. On the other hand, flow cytometer is a highly sophisticated instrument in biomedical and clinical research fields. It provides detailed physical parameters of fluorescently labeled single cells or micro-sized particles depending on the fluorescence characteristics of the target sample. Generally, optical setup to detect fluorescence uses a laser, dichroic filter, and photomultiplier tube as a light source, optical filter, and photodetector, respectively. These components are assembled to set up an instrument to measure the amount of scattering light from the target particle; however, these components are costly, bulky, and have limitations in selecting diverse fluorescence dyes. Moreover, they require multiple refined and expensive modules such as cooling or pumping systems. Thus, alternative cost-effective components have been intensively developed. In this study, a low-cost and miniaturized fluorescence detection system is proposed, i.e., costing less than 100 US dollars, which is customizable by a 3D printer and light source/filter/sensor operating at a specific wavelength using a light-emitting diode with a photodiode, which can be freely replaceable. The fluorescence detection system can quantify multi-directional scattering lights simultaneously from the fluorescently labeled cervical cancer cells. Linear regression was applied to the acquired fluorescence intensities, and excellent linear correlations (R2 > 0.9) were observed. In addition, the enumeration of the cells using hemocytometer to determine its performance accuracy was analyzed by Student’s t-test, and no statistically significant difference was found. Therefore, different cell concentrations are reversely calculated, and the system can provide a rapid and cost-effective alternative to commercial hemocytometer for live cell or microparticle counting.
Social-Aware Peer Discovery for Energy Harvesting-Based Device-To-Device Communications
Authors: Legese Hailemariam Zelalem , Lai Yuan-Cheng , Chen Yen-Hung , Wu Yu-Hsueh , Chang Arthur
Published: May 2019

In Device-to-Device (D2D) communications, the first step is to find all of the neighboring peers in the network by performing a peer discovery process. Most previous studies use the social behaviors of the users to adjust the sending rates of the peer discovery messages (i.e., beacons) under the constraint of consumed power for increasing the Peer Discovery Ratio (PDR). However, these studies do not consider the potential for energy harvesting, which allows for the User Equipments (UEs) to procure additional power within charging areas. Accordingly, this paper proposes an Energy-Ratio Rate Decision (ERRD) algorithm that comprises three steps, namely Social Ratio Allocation (SRA), Energy Ratio Allocation (ERA), and Beacon Rate Decision (BRD). The SRA step determines the allocated power quantum for each UE from the total budget power based on the social behavior of the UE. The ERA step then adjusts this allocated power quantum in accordance with the power that is harvested by the UE. Finally, the BRD step computes the beacon rate for the UE based on the adjusted power quantum. The simulation results show that ERRD outperforms the previously-reported Social-Based Grouping (SBG) algorithm by 190% on the PDR for a budget power of one watt and 8% for a budget power of 20 watts.
Multi-Stage Hough Space Calculation for Lane Markings Detection via IMU and Vision Fusion
Authors: Sun Yi , Li Jian , Sun Zhenping
Published: May 2019

It is challenging to achieve robust lane detection based on a single frame, particularly when complicated driving scenarios are present. A novel approach based on multiple frames is proposed in this paper by taking advantage of the fusion of vision and Inertial Measurement Units (IMU). Hough space is employed as a storage medium where lane markings can be stored and visited conveniently. The detection of lane markings is achieved by the following steps. Firstly, primary line segments are extracted from a basic Hough space, which is calculated by Hough Transform. Secondly, a CNN-based classifier is introduced to measure the confidence probability of each line segment, and transforms the basic Hough space into a probabilistic Hough space. In the third step, pose information provided by the IMU is applied to align previous probabilistic Hough spaces to the current one and a filtered probabilistic Hough space is acquired by smoothing the primary probabilistic Hough space across frames. Finally, valid line segments with probability higher than 0.7 are extracted from the filtered probabilistic Hough space. The proposed approach is applied experimentally, and the results demonstrate a satisfying performance compared to various existing methods.
The Influence of Nb on the Synthesis of WO3 Nanowires and the Effects on Hydrogen Sensing Performance
Authors: Zappa Dario
Published: May 2019

Hydrogen sensing is becoming one of the hottest topics in the chemical sensing field, due to its wide number of applications and the dangerousness of hydrogen leakages. For this reason, research activities are focusing on the development of high-performance materials that can be easily integrated in sensing devices. In this work, we investigated the influence of Nb on the sensing performances of WO3 nanowires (NWs) synthetized by a low-cost thermal oxidation method. The morphology and the structure of these Nb-WO3 nanowires were investigated by field emission scanning electron microscope (FE-SEM), high-resolution transmission electron microscope (HR-TEM), X-ray diffraction (XRD), Raman and X-ray photoelectron (XPS) spectroscopies, confirming that the addition of Nb does not modify significantly the monoclinic crystal structure of WO3. Moreover, we integrated these NWs into chemical sensors, and we assessed their performances toward hydrogen and some common interfering compounds. Although the hydrogen sensing performances of WO3 nanowires were already excellent, thanks to the presence of Nb they have been further enhanced, reaching the outstanding value of more than 80,000 towards 500 ppm @ 200 °C. This opens the possibility of their integration in commercial equipment, like electronic noses and portable devices.
Sled-Pull Load–Velocity Profiling and Implications for Sprint Training Prescription in Young Male Athletes
Authors: Cahill Micheál J. , Oliver Jon L. , Cronin John B. , Clark Kenneth P. , Cross Matt R. , Lloyd Rhodri S.
Published: May 2019

The purpose of this study was to examine the usefulness of individual load–velocity profiles and the between-athlete variation using the decrement in maximal velocity (Vdec) approach to prescribe training loads in resisted sled pulling in young athletes. Seventy high school, team sport, male athletes (age 16.7 ± 0.8 years) were recruited for the study. All participants performed one un-resisted and four resisted sled-pull sprints with incremental resistance of 20% BM. Maximal velocity was measured with a radar gun during each sprint and the load–velocity relationship established for each participant. A subset of 15 participants was used to examine the reliability of sled pulling on three separate occasions. For all individual participants, the load–velocity relationship was highly linear (r > 0.95). The slope of the load–velocity relationship was found to be reliable (coefficient of variation (CV) = 3.1%), with the loads that caused a decrement in velocity of 10, 25, 50, and 75% also found to be reliable (CVs = <5%). However, there was a large between-participant variation (95% confidence intervals (CIs)) in the load that caused a given Vdec, with loads of 14–21% body mass (% BM) causing a Vdec of 10%, 36–53% BM causing a Vdec of 25%, 71–107% BM causing a Vdec of 50%, and 107–160% BM causing a Vdec of 75%. The Vdec method can be reliably used to prescribe sled-pulling loads in young athletes, but practitioners should be aware that the load required to cause a given Vdec is highly individualized.
Different Forms of Accommodation in Agritourism: The Role of Decoupled Farmer-Based Accommodation in the Ötztal Valley (Austria)
Authors: Stotten Rike , Maurer Michaela , Herrmann Hannes , Schermer Markus
Published: May 2019

The general decline of mountain farming all over Europe suggests encouraging farmers to adapt their farm management and to diversify their activities into tourism. Therefore, this paper aims to investigate the impact of different types of farmer-based provision of accommodation on the preservation of the farm and the identification of farmers with farming activities. For our investigation in the case study area of Ötztal valley, Tyrol, Austria, we applied a mixed method approach. First, we developed a heuristic concept for categorizing the types of farms that offer farmer-based accommodation. The term ‘farmer-based’ refers to entities who are active in accommodation services and farming. We collected quantitative data in an online survey and carried out a qualitative focus group. Results reveal the importance of farmer-based accommodation even if decoupled from farm activities within the case study area. This type also supports, next to the ‘authentic’ form of farm-based tourism, the existing agricultural structure and contributes to the positive impact of mountain farming such as for the maintenance of multifunctional cultural landscapes, the provision of ecosystem services, and the viability of rural communities. Therefore, we suggest considering decoupled forms of farmer-based accommodation as agritourism.
A Case Study of the Sustainable Mobility Problem–Solution Paradox: Motility and Access of Metrorail Commuters in the Western Cape
Authors: Bergman Zinette , Bergman Manfred
Published: May 2019

Public transport in general and passenger trains in particular are often advertised as solutions to mobility challenges due to their relatively low carbon footprint, high commuter load, high public safety, and contribution to reduced road congestion. But, how do these advantages apply to contexts characterized by inequality, poverty, and exclusion, and where train infrastructure is underdeveloped and poorly maintained? In this study, we examine the imaginaries and their associated transport predispositions of Metrorail users in the Western Cape province of South Africa. Based on 31 interviews conducted with Metrorail users, we explored how they conceptualize access to and use of mobility. The conceptual framework for this is provided by the Motility concept as developed by Kaufmann, Bergman, and Joye. Findings show that the context and culture defining the daily lives of Metrorail users reflect a reality, which is far removed from the way we theorize sustainable mobility. The limitations of spatial and social inequality, which create the mobility boundaries of Motility for these commuters, reveal a significant gap between their lives and the policies aimed to foster our sustainable mobility future. Despite this, the commuters of our study are highly mobile, and we end this article with an attempt to align these conflicting domains of dysfunctional contexts, mobility practices, and sustainability ideals.
Predicting Safe Parking Spaces: A Machine Learning Approach to Geospatial Urban and Crime Data
Authors: Matijosaitiene Irina , McDowald Anthony , Juneja Vishal
Published: May 2019

This research aims to identify spatial and time patterns of theft in Manhattan, NY, to reveal urban factors that contribute to thefts from motor vehicles and to build a prediction model for thefts. Methods include time series and hot spot analysis, linear regression, elastic-net, Support vector machines SVM with radial and linear kernels, decision tree, bagged CART, random forest, and stochastic gradient boosting. Machine learning methods reveal that linear models perform better on our data (linear regression, elastic-net), specifying that a higher number of subway entrances, graffiti, and restaurants on streets contribute to higher theft rates from motor vehicles. Although the prediction model for thefts meets almost all assumptions (five of six), its accuracy is 77%, suggesting that there are other undiscovered factors making a contribution to the generation of thefts. As an output demonstrating final results, the application prototype for searching safer parking in Manhattan, NY based on the prediction model, has been developed.
Spatial Design of Childcare Facilities Based on Biophilic Design Patterns
Authors: Park Sung Jun , Lee Hyo Chang
Published: May 2019

This study covers the issue of insufficient childcare support, which is part of the combined social problem of low birth rates and aging, and sets the direction for the environmental improvement of childcare facilities. This study aims to find the clues to creating an optimized environment for children in nature, which is a key factor that generally promotes children’s physical, cognitive, and social development. In this paper, we conducted a literature review and case study to determine the spatial design characteristics of childcare facilities based on a biophilic design and survey. This study reached five conclusions. Firstly, childcare facilities need a spatial design to have a view of the natural ecosystem outside to increase children’s concentration and provide a pleasant environment. Secondly, there is a need for open space that makes observation and monitoring more convenient in the different spaces of childcare facilities. Thirdly, childcare facilities need a spatial design where children can enjoy various sensory experiences related to nature. Fourthly, childcare facilities must have an interesting and familiar spatial design using natural elements. Lastly, there must be hiding places considering the children’s stage of development and learning ability. The results will be used as the baseline data for the spatial design and planning of childcare facilities based on biophilic design.
Ground Deformation Analysis Using InSAR and Backpropagation Prediction with Influencing Factors in Erhai Region, China
Authors: Wang Yuyi , Guo Yahui , Hu Shunqiang , Li Yong , Wang Jingzhe , Liu Xuesong , Wang Le
Published: May 2019

The long continuity of Interferometric Synthetic Aperture Radar (InSAR) can provide high space and resolution data for ground deformation investigations. The ground deformation in this paper appeared in the city’s development, although it is close to the Erhai region, which is different from a water-deficient city. Therefore, the analysis and prediction of ground deformation using a new method is required. In this study, Sentinel-1 Synthetic Aperture Radar (SAR) images from 2015 to 2018 were used to study the characteristics of ground deformation in the Erhai region using the Small Baseline Subset Interferometric SAR (SBAS-InSAR) technique. The results were cross-validated using ascending and descending direction images to ensure the accuracy. In addition, the results showed that there was little ground deformation in the northern part of the Erhai region, while there was obvious ground deformation in the southern part. Four influencing factors—including the building area, water level, cumulative precipitation, and cumulative temperature of the southern Erhai region—were used together to predict the cumulative ground deformation using back-propagation (BP). The R of all the involved data was 0.966, and the root mean square errors (RMSEs) between the simulated values using BP and the true measured values were 3.063, 1.003, and 1.119, respectively. The results showed that BP has great potential in predicting the change tendency of ground deformation with high precision. The main reason for ground deformation is the continuous increase of building area; the water level followed. The cumulative precipitation and cumulative temperature are the reasons for the seasonal ground deformation. Some countermeasures and suggestions are given to face the challenge of serious ground deformation.
Customer Concentration and Corporate Innovation: Effects of Financing Constraints and Managers’ Expectation of Chinese Listed Companies
Authors: Zhou Bing , Li Yumeng , Huang Shengzhong , Guo Sidai , Xue Bing
Published: May 2019

Innovation capability of enterprises will greatly influence the current and future development of companies. This paper investigates the relationship between customer concentration and innovation capability of enterprises through the view of both the financing constraints and the expectation of managers. Based on the data of China’s A-share listed companies over the period from 2012 to 2016, several methods including system GMM, threshold model of fixed effects, and PSM are applied for empirical analysis. The results show that the innovation capability of listed companies in China are negatively correlated with the customer concentration. Higher customer concentration brings about stronger constraints from large customers on enterprises and greater dependence of enterprises on large customers, which result in weaker demand for innovation and lower investment in innovation. Meanwhile, the results demonstrate the double-threshold effect of financing constraints. The effect of customer concentration on innovation can be different in companies with low, medium, or high-financing constraints. Furthermore, optimistic expectations are more conducive to the reduction of customer concentration and the improvement of innovation. In addition, based on the perspective of the manager’s expectation, the research demonstrates the heterogeneous impact of manager’s expectation on the relationship between customer concentration and innovation capability.
Decomposing Dynamics in the Farm Profitability: An Application of Index Decomposition Analysis to Lithuanian FADN Sample
Authors: Baležentis Tomas , Galnaitytė Aistė , Kriščiukaitienė Irena , Namiotko Virginia , Novickytė Lina , Streimikiene Dalia , Melnikiene Rasa
Published: May 2019

The changes in farm structure have been observed in Lithuania as well as in other Central and Eastern European countries. These changes, to a high extent, have been driven by decreasing profitability of the small farms. In this paper, we look into the changes in the profitability of Lithuanian family farms across different farm size groups. Farm size is measured in terms of the standard output. The period covered is 2005–2016. The index decomposition analysis model and Shapley value are adapted for the analysis. The proposed framework ensures complete decomposition among other desirable properties. The decomposition of the changes in profitability was carried out following the DuPont identity. The results suggest that for small (respectively large) farms the asset turnover (respectively profit margin) component appear more important, whereas the leverage effect remained minimal irrespectively of the farm size group.
Berry Supply Chain Management: An Empirical Approach
Authors: Segovia-Villarreal Maria , Florez-Lopez Raquel , Ramon-Jeronimo Juan Manuel
Published: May 2019

The aim of this study is to explore the strategy and supply chain management characteristics of berry-related companies to face the bargaining power unbalance that fosters the European fresh food supply chain; branding-differentiation strategies are particularly explored as mechanisms to create sustainable value for all players along the chain. To this end, a case study is deeply analyzed to find out the different supply chain management mechanisms used by an international berry marketer in order to strengthen the adoption of a commodity differentiation strategy through the creation and positioning of a high-value brand. Data were obtained through 15 semi-structured interviews. Findings suggest that strategic moves towards differentiation and positioning might be bolstered by the development and management of stable relationships with the different members involved in the supply chain. Additionally, supply chain risk-control mechanisms, rather than having a central role in the management of the various members of the chain, turned out to be support mechanisms that work together with corporate identity alignment and inter-organizational trust in order to ensure cooperation toward differentiation and positioning in the market.
Community-Based Tourism as a Sustainable Direction in Destination Development: An Empirical Examination of Visitor Behaviors
Authors: Han Heesup , Eom Taeyeon , Al-Ansi Amr , Ryu Hyungseo Bobby , Kim Wansoo
Published: May 2019

Community-based tourism is an emerging form of sustainable tourism. Community-based tourism often brings various financial/non-financial benefits to local communities and maximizes sustainability at the local level. The present study was designed to uncover the role of community-based tourism performance in elucidating travelers’ post-purchase decision-making process for sustainable destination products by considering the moderating effect of sense of belonging. A quantitative approach was adopted for the achievement of the research objective. A field survey conducted at community-based tourism destinations was utilized for data collection. The acceptable level of the measurement quality was demonstrated. The results of the structural equation modeling provided empirical evidence that community-based tourism performance significantly affects the formation of travelers’ post-purchase intentions. In addition, the adequacy of the higher-order structure of community-based tourism performance was identified. The community-based tourism performance and intention relationship was also moderated by sense of belonging. With a lack of empirical research about community-based tourism, the findings of this research significantly add to the existing body of knowledge in sustainable tourism.
Auditing Marketing and the Use of Social Media at Ski Resorts
Authors: Luque Martínez Teodoro , Doña Toledo Luis , Faraoni Nina
Published: May 2019

Mountain and snow tourism are sectors of immense social and economic importance that are developed in an especially sensitive environmental context. A large part of this tourism is channeled through ski resorts. The literature on comparative studies of ski-resort management and, in particular, on marketing management, is limited. This study contributes knowledge on the application of marketing practiced at ski resorts. For the first time, an audit of marketing at ski resorts is performed through a quantitative survey at resorts in two countries (Spain and Italy). The importance–performance analysis (IPA) is used, which identifies both the strong and the weak points and the great deficits of marketing management at ski resorts from the perspective of their directors, to whom the questionnaire was addressed. The social media usage of the ski-stations is also analyzed, identifying different typologies of resorts in accordance with their performance against 11 indicators from Twitter and 15 from Facebook. Knowing the opinion of the visitors, the online and competitive strategy, and adapting to the legislative changes are the aspects to which the directors attach greater importance. The greatest deficits were linked to employee motivation and communication (internal and non-integrated). There are minor differences in Twitter and Facebook indicators between Spanish and Italian ski resorts. The turnover results of the ski resorts present more correlation with Facebook indicators than with Twitter ones. This analysis provides recommendations and implications for the management of ski resorts in the six dimensions of marketing under consideration. It, likewise, offers knowledge of the social-media-related behavior of resorts that are leaders on both Twitter and Facebook, for benchmarking purposes.
Competitive Cooperation of Hemagglutinin and Neuraminidase during Influenza A Virus Entry
Authors: Du Ruikun , Cui Qinghua , Rong Lijun
Published: May 2019

The hemagglutinin (HA) and neuraminidase (NA) of influenza A virus possess antagonistic activities on interaction with sialic acid (SA), which is the receptor for virus attachment. HA binds SA through its receptor-binding sites, while NA is a receptor-destroying enzyme by removing SAs. The function of HA during virus entry has been extensively investigated, however, examination of NA has long been focused to its role in the exit of progeny virus from infected cells, and the role of NA in the entry process is still under-appreciated. This review summarizes the current understanding of the roles of HA and NA in relation to each other during virus entry.
A Study on Climate-Driven Flash Flood Risks in the Boise River Watershed, Idaho
Authors: Ryu Jae Hyeon , Kim Jungjin
Published: May 2019

We conducted a study on climate-driven flash flood risk in the Boise River Watershed using flood frequency analysis and climate-driven hydrological simulations over the next few decades. Three different distribution families, including the Gumbel Extreme Value Type I (GEV), the 3-parameter log-normal (LN3) and log-Pearson type III (LP3) are used to explore the likelihood of potential flash flood based on the 3-day running total streamflow sequences (3D flows). Climate-driven ensemble streamflows are also generated to evaluate how future climate variability affects local hydrology associated with potential flash flood risks. The result indicates that future climate change and variability may contribute to potential flash floods in the study area, but incorporating embedded-uncertainties inherited from climate models into water resource planning would be still challenging because grand investments are necessary to mitigate such risks within institutional and community consensus. Nonetheless, this study will provide useful insights for water managers to plan out sustainable water resources management under an uncertain and changing climate.
ANALISIS SISTEM PERAWATAN MESIN MILLING MENGGUNAKAN METODE FMECA DI CV. GRAND MANUFACTURING INDONESIA
Authors: Nuswantoro Ilham , Anthara I.Made Aryantha
Published: May 2019

Seiring dengan meningkatnya perkembangan proses produksi, perusahaan pada umumnya berfokus pada pembuatan produk yang dilakukan terus menerus. Proses produksi akan berpengaruh pada kondisi produktivitas suatu perusahaan, baik itu mesin maupun operator. Indikator produktivitas yang menurun mempunyai hubungan dengan perawatan fasilitas produksi perusahaan. Perawatan merupakan kegiatan merawat fasilitas perusahaan, dalam hal ini mesin. Mesin yang terawat sudah tentu sangat membantu perusahaan untuk menghasilkan produk secara optimal, baik dari kualitas maupun kuantitas.

Penelitian ini dilakukan di CV. Grand Manufacturing Indonesia. Permasalahan yang ada pada penelitian ini adalah kurang optimalnya prosedur perawatan yang ada di perusahaan. Perawatan yang ada hanya terfokus pada perawatan skala minor yang jika dibiarkan maka akan membuat kerugian yang lebih besar lagi.

Penelitian ini menggunakan metode Failure Mode Effects and Criticality Analysis (FMECA). Penelitian ini bertujuan untuk mengidentifikasi kerusakan yang dialami mesin, mencari penyebab serta akibat yang ditimbulkan oleh rusaknya komponen dan mengidentifikasi efek-efek buruk yang akan terjadi apabila mesin tersebut mengalami kerusakan. Pada penelitian ini dilakukan sesuai dari prosedur metode yang digunakan.

Dari penelitian yang dilakukan di CV. Grand Manufacturing Indonesia ini, dengan menggunakan metode FMECA dapat diketahui jenis komponen kritis yang harus diprioritaskan, yaitu komponen fan belt dan cutter. Putus dan aus merupakan jenis kerusakan yang dialami oleh kedua komponen.