bluuebunny/crossref_metadata_2025 huggingface dataset:
Nutritional Quality of Dry Vegetable Soups
Authors: van Buren Leo , Grün Christian H. , Basendowski Silke , Spraul Martin , Newson Rachel , Eilander Ans
Published: June 2019

Dry soups with vegetables are often perceived as having low nutritional quality, but there are only limited data on the nutritional value of dry soups. Therefore, we measured the nutritional composition of dry vegetable powders used in dry soups and compared the results with published data on fresh and cooked vegetables. We also analyzed the nutritional composition of dry vegetable soups and compared these with published data on home-made and other soups. Dietary fiber, minerals, vitamins, and carotenoids in dry vegetables powders and soups were analyzed. Based on these data, a nutrient density score was calculated as measure of overall nutritional quality. Nutrient density scores for fresh and cooked vegetables, as well as home-made and other soups, were calculated based on the United Stated Department of Agriculture (USDA) and “Bundeslebensmittelschlüssel” (BLS) food composition data. The nutrient density scores of dry vegetable powders did not systematically differ from cooked vegetables. Nutrient contributions to European Food and Safety Authority (EFSA) dietary reference intakes per 250 mL serving of soup ranged from 11–45% for fiber; 3–23% for iron, magnesium, and zinc; 8–22% for potassium; 11–15% for vitamin A; 2–17% for B-vitamins; and 2–15% for vitamin K. The nutrient density scores of dry vegetable soups were in the same order of those of home-made and other soups. These data indicate that dry vegetable soups, like home-made soups, can deliver a significant part of recommended daily nutrient and vegetable intake.
Responses of Tomato Plants under Saline Stress to Foliar Application of Copper Nanoparticles
Authors: Pérez-Labrada Fabián , López-Vargas Elsy Rubisela , Ortega-Ortiz Hortensia , Cadenas-Pliego Gregorio , Benavides-Mendoza Adalberto , Juárez-Maldonado Antonio
Published: June 2019

The tomato crop has great economic and nutritional importance; however, it can be adversely affected by salt stress. The objective of this research is to quantify the agronomic and biochemical responses of tomato plants developed under salt stress with the foliar application of copper nanoparticles. Four treatments were evaluated: foliar application of copper nanoparticles (250 mg L−1) with or without salt stress (50 mM NaCl), salt stress, and an absolute control. Saline stress caused severe damage to the development of tomato plants; however, the damage was mitigated by the foliar application of copper nanoparticles, which increased performance and improved the Na+/K+ ratio. The content of Cu increased in the tissues of tomato plants under salinity with the application of Cu nanoparticles, which increased the phenols (16%) in the leaves and the content of vitamin C (80%), glutathione (GSH) (81%), and phenols (7.8%) in the fruit compared with the control. Similarly, the enzyme activity of phenylalanine ammonia lyase (PAL), ascorbate peroxidase (APX), glutathione peroxidase (GPX), superoxide dismutase (SOD), and catalase (CAT) increased in leaf tissue by 104%, 140%, 26%, 8%, and 93%, respectively. Foliar spraying of copper nanoparticles on tomatoes under salinity appears to induce stress tolerance to salinity by stimulating the plant’s antioxidant mechanisms.
Liquefaction of Peanut Shells with Cation Exchange Resin and Sulfuric Acid as Dual Catalyst for the Subsequent Synthesis of Rigid Polyurethane Foam
Authors: Zhang Qinqin , Chen Weisheng , Qu Guojuan , Lin Xiaoqi , Han Dezhi , Yan Xiaofei , Zhang Heng
Published: June 2019

The conversion of lignocellulosic biomass from renewable raw materials to high value-added fine chemicals expanded their application in biodegradable polymers materials synthesis, such as polyurethanes and phenolic resin, etc. In this work, the strong-acid cation exchange resin and sulfuric acid as the dual catalyst offered an effective way to catalyze the liquefaction reaction of the peanut shells. The properties of liquefied products were characterized by means of hydroxyl value, viscosity and solubility tests, while the properties of peanut shells and liquefaction residue were analyzed by means of ATR-FTIR, TG and SEM techniques. The results indicated that the liquefied products could be completely dissolved in deionized water, methanol and polyethylene glycol, respectively, and they could be a preferable substitution of petrochemical polyols as soft segments to synthesize the rigid polyurethane foams. Moreover, the cellulose and hemicellulose in the peanut shells were easily decomposed into smaller molecules via the breakage of the C–O bond besides five-membered and hexatomic ring, while the lignin could be degraded via the breakage of the C–O chemical bonds of β-O-4, 4-O-5 and dibenzodioxocin units. The fabricated rigid polyurethane (RPU) foam, containing higher percentage of open pores with uniform size, can be potentially utilized for flower mud and sound-absorbing materials.
Preparation of Cellulose Films from Sustainable CO2/DBU/DMSO System
Authors: Jin Longming , Gan Jianyun , Hu Gang , Cai Long , Li Zaiquan , Zhang Lihua , Zheng Qiang , Xie Haibo
Published: June 2019

Cellulose films are regarded as sustainable materials having wide applications in food packaging, separation, etc. Their preparation substantially relies on sufficient dissolution. Herein, various celluloses adequately dissolved in a new solvent system of carbon dioxide,1, 8-diazabicyclo [5.4.0] undec-7-ene and dimethyl sulfoxide (CO2/DBU/DMSO) were made in to films using different regeneration reagents. The films regenerated from ethanol and methanol presented homogeneous and smooth surfaces, while those from 5 wt % NaOH (aq.) and 5 wt % H2SO4 (aq.) showed rough surfaces, as analyzed using scanning electron microscopy (SEM) and atomic force microscopy (AFM). The films regenerated from 5 wt % NaOH (aq.) and 5 wt % H2SO4 (aq.) rendered cellulose II structures, while those regenerated from alcohols had amorphous structures as evidenced using fourier transform infrared spectroscopy (FT-IR) and X-ray diffraction (XRD) results. The films made of microcrystalline cellulose had a good light transmittance of about 90% at 800 nm with a tensile strength of 55 MPa and an elongation break of 6.5%, while those from wood pulp cellulose demonstrated satisfactory flexibility with a tensile strength of 91 MPa and an elongation break of 9.0%. This research reports a simple, environmental, and sustainable method to prepare cellulose films of good mechanical properties.
Effect of Graphene oxide or Functionalized Graphene Oxide on the Copolymerization Kinetics of Styrene/n-butyl Methacrylate
Authors: Tsagkalias Ioannis , Vlachou Afrodite , Verros George , Achilias Dimitris
Published: June 2019

Nanocomposite materials based on copolymers of styrene and n-butyl methacrylate with either graphene oxide (GO) or functionalized graphene oxide (F-GO) were synthesized using the in-situ bulk radical copolymerization technique. Reaction kinetics was studied both experimentally and theoretically using a detailed kinetic model also taking into account the effect of diffusion-controlled phenomena on the reaction kinetic rate constants. It was found that the presence of GO results in lower polymerization rates accompanied by the synthesis of copolymers having higher average molecular weights. In contrast, the presence of F-GO did not seem to significantly alter the conversion vs time curves, whereas it results in slightly lower average molecular weights. The first observation was attributed to side reactions of the initiator primary radicals with the hydroxyl groups on the surface of GO, resulting in lower initiator efficiency, whereas the second to grafted structures formed from copolymer macromolecules on the F-GO surface. The copolymerization model predictions including MWD data were found to be in satisfactory agreement with the experimental data. At least four adjustable parameters were employed and their best-fit values were provided.
The Oxford Common File Layout: A Common Approach to Digital Preservation
Authors: Hankinson Andrew , Brower Donald , Jefferies Neil , Metz Rosalyn , Morley Julian , Warner Simeon , Woods Andrew
Published: June 2019

The Oxford Common File Layout describes a shared approach to filesystem layouts for institutional and preservation repositories, providing recommendations for how digital repository systems should structure and store files on disk or in object stores. The authors represent institutions where digital preservation practices have been established and proven over time or where significant work has been done to flesh out digital preservation practices. A community of practitioners is surfacing and is assessing successful preservation approaches designed to address a spectrum of use cases. With this context as a background, the Oxford Common File Layout (OCFL) will be described as the culmination of over two decades of experience with existing standards and practices.
Verified, Shared, Modular, and Provenance Based Research Communication with the Dat Protocol
Authors: Hartgerink Chris
Published: June 2019

A scholarly communication system needs to register, distribute, certify, archive, and incentivize knowledge production. The current article-based system technically fulfills these functions, but suboptimally. I propose a module-based communication infrastructure that attempts to take a wider view of these functions and optimize the fulfillment of the five functions of scholarly communication. Scholarly modules are conceptualized as the constituent parts of a research process as determined by a researcher. These can be text, but also code, data, and any other relevant pieces of information that are produced in the research process. The chronology of these modules is registered by iteratively linking to each other, creating a provenance record of parent and child modules (and a network of modules). These scholarly modules are linked to scholarly profiles, creating a network of profiles, and a network of how profiles relate to their constituent modules. All these scholarly modules would be communicated on the new peer-to-peer Web protocol Dat, which provides a decentralized register that is immutable, facilitates greater content integrity than the current system through verification, and is open-by-design. Open-by-design would also allow diversity in the way content is consumed, discovered, and evaluated to arise. This initial proposal needs to be refined and developed further based on the technical developments of the Dat protocol, its implementations, and discussions within the scholarly community to evaluate the qualities claimed here. Nonetheless, a minimal prototype is available today, and this is technically feasible.
Factors Influencing Landowners’ Decisions for Income-Generating Activities on Private Coastal Wetland in Louisiana
Authors: Wang Hua , Keithly Walter , Caffey Rex
Published: June 2019

The coastal zone of Louisiana contains more than 3 million wetland acres and has the highest acreage of salt marsh of any state. However, Louisiana accounts for 80 percent of the nation’s coastal land loss. The loss of Louisiana’s coastal wetlands results in changes in economic and ecological benefits on local communities. The purpose of the study is to investigate the factors that motivate private coastal landowners to participate in income-generating activities and the level of income derived from their coastal wetland parcels and to gauge their opinion of potential policy instruments for coastal wetlands stewardship. A double-hurdle model was applied to econometrically identify the determinants on the participation and level of participation in income-generating activities using data collected from a sample of coastal wetland owners. The results based on the estimated parameters and marginal effects revealed that decisions to participate and the level of participation are related to physical characteristics of the wetland and socioeconomic characteristics of the landowner. For example, the type of wetland is the primary factor influencing the decision to participate and the level of participation. In addition, understanding the landowner’s attitude toward wetland restoration program provides the opportunity for policymakers to better evaluate current and potential policies for coastal management in Louisiana.
Detecting Power Lines in UAV Images with Convolutional Features and Structured Constraints
Authors: Zhang Heng , Yang Wen , Yu Huai , Zhang Haijian , Xia Gui-Song
Published: June 2019

Power line detection plays an important role in an automated UAV-based electricity inspection system, which is crucial for real-time motion planning and navigation along power lines. Previous methods which adopt traditional filters and gradients may fail to capture complete power lines due to noisy backgrounds. To overcome this, we develop an accurate power line detection method using convolutional and structured features. Specifically, we first build a convolutional neural network to obtain hierarchical responses from each layer. Simultaneously, the rich feature maps are integrated to produce a fusion output, then we extract the structured information including length, width, orientation and area from the coarsest feature map. Finally, we combine the fusion output with structured information to get a result with clear background. The proposed method fully exploits multiscale and structured prior information to conduct both accurate and efficient detection. In addition, we release two power line datasets due to the scarcity in the public domain. The method is evaluated on the well-annotated power line datasets and achieves competitive performance compared with state-of-the-art methods.
A Simplified and Robust Surface Reflectance Estimation Method (SREM) for Use over Diverse Land Surfaces Using Multi-Sensor Data
Authors: Bilal Muhammad , Nazeer Majid , Nichol Janet E. , Bleiweiss Max P. , Qiu Zhongfeng , Jäkel Evelyn , Campbell James R. , Atique Luqman , Huang Xiaolan , Lolli Simone
Published: June 2019

Surface reflectance (SR) estimation is the most critical preprocessing step for deriving geophysical parameters in multi-sensor remote sensing. Most state-of-the-art SR estimation methods, such as the vector version of the Second Simulation of the Satellite Signal in the Solar Spectrum (6SV) radiative transfer (RT) model, depend on accurate information on aerosol and atmospheric gases. In this study, a Simplified and Robust Surface Reflectance Estimation Method (SREM) based on the equations from 6SV RT model, without integrating information of aerosol particles and atmospheric gasses, is proposed and tested using Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper plus (ETM+), and Landsat 8 Operational Land Imager (OLI) data from 2000 to 2018. For evaluation purposes, (i) the SREM SR retrievals are validated against in situ SR measurements collected by Analytical Spectral Devices (ASD) from the South Dakota State University (SDSU) site, USA; (ii) cross-comparison between the SREM and Landsat spectral SR products, i.e., Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) and Landsat 8 Surface Reflectance Code (LaSRC), are conducted over 11 urban (2013–2018), 13 vegetated (2013–2018), and 11 desert/arid (2000 to 2018) sites located over different climatic zones at a global scale; (iii) the performance of the SREM spectral SR retrievals for low to high aerosol loadings is evaluated; (iv) spatio-temporal cross-comparison is conducted for six Landsat paths/rows located in Asia, Africa, Europe, and the United States of America from 2013 to 2018 to consider a large variety of land surfaces and atmospheric conditions; (v) cross-comparison is also performed for the Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Soil Adjusted Vegetation Index (SAVI) calculated from both the SREM and Landsat SR data; (vi) the SREM is also applied to the Sentinel-2A and Moderate Resolution Imaging Spectrometer (MODIS) data to explore its applicability; and (vii) errors in the SR retrievals are reported using the mean bias error (MBE), root mean squared deviation (RMSD), and mean systematic error (MSE). Results depict significant and strong positive Pearson’s correlation (r), small MBE, RMSD, and MSE for each spectral band against in situ ASD data and Landsat (LEDAPS and LaSRC) SR products. Consistency in SREM performance against Sentinel-2A (r = 0.994, MBE = −0.009, and RMSD = 0.014) and MODIS (r = 0.925, MBE = 0.007, and RMSD = 0.014) data suggests that SREM can be applied to other multispectral satellites data. Overall, the findings demonstrate the potential and promise of SREM for use over diverse surfaces and under varying atmospheric conditions using multi-sensor data on a global scale.
Classification of Tea Aromas Using Multi-Nanoparticle Based Chemiresistor Arrays
Authors: Gao Tuo , Wang Yongchen , Zhang Chengwu , Pittman Zachariah A. , Oliveira Alexandra M. , Fu Kan , Zhao Jing , Srivastava Ranjan , Willis Brian G.
Published: June 2019

Nanoparticle based chemical sensor arrays with four types of organo-functionalized gold nanoparticles (AuNPs) were introduced to classify 35 different teas, including black teas, green teas, and herbal teas. Integrated sensor arrays were made using microfabrication methods including photolithography and lift-off processing. Different types of nanoparticle solutions were drop-cast on separate active regions of each sensor chip. Sensor responses, expressed as the ratio of resistance change to baseline resistance (ΔR/R0), were used as input data to discriminate different aromas by statistical analysis using multivariate techniques and machine learning algorithms. With five-fold cross validation, linear discriminant analysis (LDA) gave 99% accuracy for classification of all 35 teas, and 98% and 100% accuracy for separate datasets of herbal teas, and black and green teas, respectively. We find that classification accuracy improves significantly by using multiple types of nanoparticles compared to single type nanoparticle arrays. The results suggest a promising approach to monitor the freshness and quality of tea products.
Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches
Authors: Adegboye Mutiu Adesina , Fung Wai-Keung , Karnik Aditya
Published: June 2019

Pipelines are widely used for the transportation of hydrocarbon fluids over millions of miles all over the world. The structures of the pipelines are designed to withstand several environmental loading conditions to ensure safe and reliable distribution from point of production to the shore or distribution depot. However, leaks in pipeline networks are one of the major causes of innumerable losses in pipeline operators and nature. Incidents of pipeline failure can result in serious ecological disasters, human casualties and financial loss. In order to avoid such menace and maintain safe and reliable pipeline infrastructure, substantial research efforts have been devoted to implementing pipeline leak detection and localisation using different approaches. This paper discusses pipeline leakage detection technologies and summarises the state-of-the-art achievements. Different leakage detection and localisation in pipeline systems are reviewed and their strengths and weaknesses are highlighted. Comparative performance analysis is performed to provide a guide in determining which leak detection method is appropriate for particular operating settings. In addition, research gaps and open issues for development of reliable pipeline leakage detection systems are discussed.
Tuning the Polarity of MoTe2 FETs by Varying the Channel Thickness for Gas-Sensing Applications
Authors: Rani Asha , DiCamillo Kyle , Khan Md Ashfaque Hossain , Paranjape Makarand , Zaghloul Mona E.
Published: June 2019

In this study, electrical characteristics of MoTe2 field-effect transistors (FETs) are investigated as a function of channel thickness. The conductivity type in FETs, fabricated from exfoliated MoTe2 crystals, switched from p-type to ambipolar to n-type conduction with increasing MoTe2 channel thickness from 10.6 nm to 56.7 nm. This change in flake-thickness-dependent conducting behavior of MoTe2 FETs can be attributed to modulation of the Schottky barrier height and related bandgap alignment. Change in polarity as a function of channel thickness variation is also used for ammonia (NH3) sensing, which confirms the p- and n-type behavior of MoTe2 devices.
Tendon and Ligament Injuries in Elite Rugby: The Potential Genetic Influence
Authors: Brazier Jon , Antrobus Mark , Stebbings Georgina K. , Day Stephen H. , Heffernan Shane M. , Cross Matthew J. , Williams Alun G.
Published: June 2019

This article reviews tendon and ligament injury incidence and severity within elite rugby union and rugby league. Furthermore, it discusses the biological makeup of tendons and ligaments and how genetic variation may influence this and predisposition to injury. Elite rugby has one of the highest reported injury incidences of any professional sport. This is likely due to a combination of well-established injury surveillance systems and the characteristics of the game, whereby high-impact body contact frequently occurs, in addition to the high intensity, multispeed and multidirectional nature of play. Some of the most severe of all these injuries are tendon and ligament/joint (non-bone), and therefore, potentially the most debilitating to a player and playing squad across a season or World Cup competition. The aetiology of these injuries is highly multi-factorial, with a growing body of evidence suggesting that some of the inter-individual variability in injury susceptibility may be due to genetic variation. However, little effort has been devoted to the study of genetic injury traits within rugby athletes. Due to a growing understanding of the molecular characteristics underpinning the aetiology of injury, investigating genetic variation within elite rugby is a viable and worthy proposition. Therefore, we propose several single nucleotide polymorphisms within candidate genes of interest; COL1A1, COL3A1, COL5A1, MIR608, MMP3, TIMP2, VEGFA, NID1 and COLGALT1 warrant further study within elite rugby and other invasion sports.
A Method for Sustainable Lighting, Preventive Conservation, Energy Design and Technology—Lighting a Historical Church Converted into a University Library
Authors: Balocco Carla , Volante Giulia
Published: June 2019

Many ancient libraries in Italy are housed in historical buildings, only a few in former churches and monasteries. Newly built libraries mostly comply with the requirements of sustainability, energy saving and renewable energy use, but this does not occur for existing ones, especially when they belong to the historical cultural heritage. Historical library buildings have good mass and thermal inertia but often have inadequate windows with low light transmission value. Lighting systems are often without control and thus cause poor lighting conditions. Our present research concerns the energy sustainability assessment of retrofit operations for lighting in an existing historical university library, focusing on lighting quality, adequate lighting conditions for visual tasks, vision ergonomics and well-being, and guaranteeing the preventive conservation and protection of heritage books. This case study is very particular, because it concerns a Florentine historical monastery which is now a university library. Our proposed method introduces an optimal toolset for lighting design solutions with the aim of sustainability. The library indoor space was procedurally decomposed into illumination volumes according to different occupant activities and visual tasks and different use areas. This method is extensible to all similar cultural heritage case, but also existing old buildings and current designs.
Educational Approaches to Encourage Pro-Environmental Behaviors in Madagascar
Authors: Schüßler Dominik , Richter Torsten , Mantilla-Contreras Jasmin
Published: June 2019

Madagascar is a biodiversity hotspot under threat, with about 80% of the population living below the poverty line and dependent on the use of diminishing local resources. Environmental education (EE) can act as an important tool for biodiversity conservation, however, its implementation is challenging in low-income countries. Here, we provide a review of 248 EE interventions throughout Madagascar. We highlight how EE can promote pro-environmental behaviors and show the major obstacles it faces, using Madagascar’s Lake Alaotra as a case study area. All EE activities are implemented by non-governmental organizations (NGOs) and international institutions. EE and community engagement have been shown by practitioners and scientific research alike to be valuable tools but are severely restricted in their impact when their outreach is limited by insecure and insufficient funding, and often funding periods that are too short. Another major hindrance to EE producing positive changes in people’s real-life decisions in low-income countries like Madagascar, arises when lessons are taught to a population that is at once understanding and severely constrained in its choices due to poverty, and corresponding malnutrition, that forces people to make unsustainable decisions on a daily basis. Our conclusions should help to improve the practice of EE in Madagascar and other low-income countries.
Evaluating the Public’s Preferences toward Sustainable Planning under Climate and Land Use Change in Forest Parks
Authors: Lee Chun-Lin , Wang Chiung-Hsin , Lee Chun-Hung , Sriarkarin Supasit
Published: June 2019

Balancing the goals of sustainable planning under climate and land use change (CLUC) with ecosystem service functions is a huge challenge for the management and programming of protected areas today. We construct a new evaluation framework towards the perspectives of sustainable land management based on the choice experiment (CE) model, and apply it to investigate the public’s preferences for the forest parks in Taiwan. This study found that implementing organic farming, increasing species populations, increasing the acreage of secondary forest area, and developing an integrated framework for ecotourism would best satisfy the public’s preferences for sustainable land use management. Second, we identify that the heterogeneity of the public’s preferences for forest park management varies depending on whether individuals are (1) members of environmental groups, (2) agricultural landowners, and (3) residents of the municipality. Third, we find integrated land use programs generate the highest welfare values among scenarios comprising different financial attributes.
Monitoring and Analysis of the Real Estate Market in a Social Perspective: Results from the Turin’s (Italy) Experience
Authors: Curto Rocco , Fregonara Elena
Published: June 2019

In Italy, it has always been difficult to collect reliable data on real estate given the opacity of the information available. Keeping into consideration the actual availability of data and information, the possibility to have a structure for permanently monitoring and analysing the real estate market is fundamental. Focusing on developing and disseminating knowledge related to practices in this context, in this paper the Turin’s (Northern Italy) experience is presented, through the Real Estate Market Observatory (TREMO): This structure is based on a data-warehouse, implemented over time, with databases that lead to historic price observations of the residential market. The data warehouse is the basis for investigating methodologies and analyses, assuming the spatial requisites of the data and its georeferencing as the main discriminant in choosing among descriptive statistics, multi-varied or spatial analysis methods. In twenty years, several studies have been developed, allowing us not only to explore the applicability of models and operative modalities, but also to obtain results with a high potential impact under a social viewpoint. In this paper, the methodologies developed for implementing the monitoring structure are presented, specifically the “quality process” and computerized analysis procedures, followed by some representative research experiences with reference to aims, models and results.
Analyst Following, Group Affiliation, and Labor Investment Efficiency: Evidence from Korea
Authors: Mo Kyoungwon , Lee Kyung Yun (Kailey)
Published: June 2019

This paper studies how analysts’ group affiliation affects firms’ labor investment efficiency. Using a 2001–2017 sample of Korean public companies, we find that labor investment efficiency increases when there are more unaffiliated analysts following business group (chaebol) firms. Our regression results also suggest that an increase in labor investment efficiency is attributed to a reduction in firms’ over-firing problem. However, affiliated analysts are not found to influence firms’ labor investment efficiency. We further document that the positive influence of unaffiliated analysts on labor investment efficiency holds when firms have high cash holdings. Our results are robust to different model specifications, including two-stage least square regression and firm-size matching.
Relations among the Riemann Zeta and Hurwitz Zeta Functions, as Well as Their Products
Authors: Ashton A. C. L. , Fokas A. S.
Published: June 2019

In this paper, several relations are obtained among the Riemann zeta and Hurwitz zeta functions, as well as their products. A particular case of these relations give rise to a simple re-derivation of the important results of Katsurada and Matsumoto on the mean square of the Hurwitz zeta function. Also, a relation derived here provides the starting point of a novel approach which, in a series of companion papers, yields a formal proof of the Lindelöf hypothesis. Some of the above relations motivate the need for analysing the large α behaviour of the modified Hurwitz zeta function ζ 1 ( s , α ) , s ∈ C , α ∈ ( 0 , ∞ ) , which is also presented here.
Framework for Onboard Bus Comfort Level Predictions Using the Markov Chain Concept
Authors: Więcek Paweł , Kubek Daniel , Aleksandrowicz Jan , Stróżek Aleksandra
Published: June 2019

Efficiently functioning public transport has a significant positive impact on the entire transportation system performance through numerous aspects, such as the reduction of congestion, energy consumption, and emissions. In most cases, the basic elements of public transport are the bus transport subsystem. Currently, in addition to criteria such as punctuality, the frequency of departures, and the number of transfers, a travelling comfort level is an important element for passengers. An overcrowded bus may discourage travelers from choosing this mode of transport and induce them to use a private car despite the existence of many other facilities offered by a given public transport system. Therefore, the forecasting of bus passenger demand, as well as bus occupancy at individual bus stops, is currently an important research direction. The main goal of the article is to present the conceptual framework for the Advanced Travel Information System with the prediction module. The proposed approach assumes that the prediction module is based on the use of the Markov Chain concept. The efficiency and accuracy of the obtained prediction were presented based on a real-life example, where the measurements of passengers boarding and alighting at bus stops were made in a selected Cracow bus line. The methodology presented in the paper and the obtained results can significantly contribute to the development of solutions and systems for a better management as well as a cost and energy consumption optimisation in the public transport system. Current and forecasted information related to bus occupancy, when properly used in the travel information system, may have a positive impact on the development of urban mobility patterns by encouraging the use of public transport. This article addresses the current and practical research problem using an adequate theoretical mathematical tool to describe it, reflecting the characteristics and nature of the phenomenon being studied. To the best of the authors’ knowledge, the article deals for the first time with the problem of prediction of onboard bus comfort levels based on in-vehicle occupancy.
Development of a Novel Freight Railcar Load Planning and Monitoring System
Authors: Mladenović Snežana , Zdravković Stefan , Vesković Slavko , Janković Slađana , Đorđević Života , Đalić Nataša
Published: June 2019

Rail transport has unmistakable sustainable (environmental and economic) advantages in goods transportation on a massive scale. Goods loading constitutes an important segment of goods transportation by rail. Incorrect loading can be a serious threat to traffic safety as well as a generator of unforeseen expenses related to goods, railway infrastructure and vehicles. At the beginning, the paper identifies the presence of incorrect loading into freight railcars. The analysis of the available loading software has led to the conclusion that no software offers adequate support to the planning and monitoring of the loading of goods into a covered railcar using a forklift truck. For this reason, the main aim of the research is to formulate a mathematical model that includes real-world constraints, as well as the design and implementation of an original user-friendly load planning and monitoring software system. Experimental evaluations of the implemented software have been made based on single and multiple railcar pallet loading problems, considering the following three optimization criteria: maximization of wagon load weight, maximization of wagon volume utilization and maximization of weighted profit. By testing the optimization and visualization features of the software and analyzing the results, it has been concluded that it can offer full support to real load planning and monitoring problems.
End-to-End Multimodal 16-Day Hatching Eggs Classification
Authors: Geng Lei , Peng Zhen , Xiao Zhitao , Xi Jiangtao
Published: June 2019

Sixteen-day hatching eggs are divided into fertile eggs, waste eggs, and recovered eggs. Because different categories may have the same characteristics, they are difficult to classify. Few existing algorithms can successfully solve this problem. To this end, we propose an end-to-end deep learning network structure that uses multiple forms of signals. First, we collect the photoplethysmography (PPG) signal of the hatching eggs to obtain heartbeat information and photograph hatching eggs with a camera to obtain blood vessel pictures. Second, we use two different network structures to process the two kinds of signals: Temporal convolutional networks are used to process heartbeat information, and convolutional neural networks (CNNs) are used to process blood vessel pictures. Then, we combine the two feature maps and use the long short-term memory (LSTM) network to model the context and recognize the type of hatching eggs. The system is then trained with our dataset. The experimental results demonstrate that the proposed end-to-end multimodal deep learning network structure is significantly more accurate than using a single modal network. Additionally, the method successfully solves the 16-day hatching egg classification problem.
Levels of Cadmium in Human Mandibular Bone
Authors: Browar Andrew W. , Leavitt Landon L. , Prozialeck Walter C. , Edwards Joshua R.
Published: June 2019

Cadmium (Cd) is an environmental toxicant that accumulates in bone and alters bone turnover and metabolism. Periodontal disease is characterized by tooth loss and tissue destruction, specifically, loss of supporting bone around the teeth. We have previously shown that Cd causes loss of dental alveolar (tooth supporting) bone in a rodent model of long-term Cd poisoning. The overall goal of this study was to determine the possible association between levels of Cd in alveolar bone and evidence of periodontal disease in human cadavers. The extent of Cd accumulation in human mandible samples was analyzed. Levels of Cd in mandibular alveolar bone were compared to those in basal bone as well as the renal cortex in samples obtained from the cadavers. Alveolar bone contained significantly higher levels of Cd when compared to basal bone (p < 0.01). Cd levels in mandibular bone were significantly higher in female compared to male cadavers (p < 0.05). The kidney cortex had greater than 15-fold higher Cd levels compared to mandible bone. Additional analyses showed a possible association between levels of Cd in basal bone and the presence of periodontal disease in cadavers from which the samples were obtained. This study shows that Cd accumulates to relatively high levels within alveolar bone as compared to basal bone in the mandible and thus may have a significant and direct effect in the progression of changes in bone associated with periodontal disease.
Bioanalytical and Mass Spectrometric Methods for Aldehyde Profiling in Biological Fluids
Authors: Dator Romel P. , Solivio Morwena J. , Villalta Peter W. , Balbo Silvia
Published: June 2019

Human exposure to aldehydes is implicated in multiple diseases including diabetes, cardiovascular diseases, neurodegenerative disorders (i.e., Alzheimer’s and Parkinson’s Diseases), and cancer. Because these compounds are strong electrophiles, they can react with nucleophilic sites in DNA and proteins to form reversible and irreversible modifications. These modifications, if not eliminated or repaired, can lead to alteration in cellular homeostasis, cell death and ultimately contribute to disease pathogenesis. This review provides an overview of the current knowledge of the methods and applications of aldehyde exposure measurements, with a particular focus on bioanalytical and mass spectrometric techniques, including recent advances in mass spectrometry (MS)-based profiling methods for identifying potential biomarkers of aldehyde exposure. We discuss the various derivatization reagents used to capture small polar aldehydes and methods to quantify these compounds in biological matrices. In addition, we present emerging mass spectrometry-based methods, which use high-resolution accurate mass (HR/AM) analysis for characterizing carbonyl compounds and their potential applications in molecular epidemiology studies. With the availability of diverse bioanalytical methods presented here including simple and rapid techniques allowing remote monitoring of aldehydes, real-time imaging of aldehydic load in cells, advances in MS instrumentation, high performance chromatographic separation, and improved bioinformatics tools, the data acquired enable increased sensitivity for identifying specific aldehydes and new biomarkers of aldehyde exposure. Finally, the combination of these techniques with exciting new methods for single cell analysis provides the potential for detection and profiling of aldehydes at a cellular level, opening up the opportunity to minutely dissect their roles and biological consequences in cellular metabolism and diseases pathogenesis.
A Highly Sensitive Method to Detect Avocado Sunblotch Viroid for the Maintenance of Infection-Free Avocado Germplasm Collections
Authors: Kuhn David N. , Freeman Barbie , Geering Andrew , Chambers Alan H.
Published: June 2019

The United States Department of Agriculture (USDA) Agricultural Research Service (ARS) Subtropical Horticulture Research Station (SHRS) in Miami, FL holds a large germplasm collection of avocado (Persea americana). The recent threat of infection by laurel wilt has encouraged the creation of a backup collection at a disease-free site. Creating the backup collection is complicated by infection of some trees in the germplasm collection with avocado sunblotch viroid (ASBVd). Infected trees are frequently asymptomatic, necessitating the use of a molecular diagnostic assay. Although a reverse-transcription based assay already exists and has been used to assay all germplasm at the station, some trees showed inconsistent results. We have developed a more sensitive and specific assay involving pre-amplification of the entire viroid cDNA followed by detection using real-time PCR and a TaqMan assay. A second screening of all germplasm identified additional ASBVd -infected trees and allowed us to confidently remove these trees from the station. This method enables avocado germplasm curators to proceed with the creation of a viroid-free backup collection.
Extreme Precipitation in China in Response to Emission Reductions under the Paris Agreement
Authors: Zhang Jintao , Wang Fang
Published: June 2019

To avoid more severe impacts from climate change, countries worldwide pledged to implement intended nationally determined contributions (INDCs) for emission reductions (as part of the Paris Agreement). However, it remains unclear what the resulting precipitation change in terms of regional extremes would be in response to the INDC scenarios. Here, we analyzed China’s extreme precipitation response of the next few decades to the updated INDC scenarios within the framework of the Paris Agreement. Our results indicate increases in the intensity and frequency of extreme precipitation (compared with the current level) in most regions in China. The maximum consecutive five-day precipitation over China is projected to increase ~16%, and the number of heavy precipitation days will increase as much as ~20% in some areas. The probability distributions of extreme precipitation events become wider, resulting in the occurrence of more record-breaking heavy precipitation in the future. We further considered the impacts of precipitation-related extremes and found that the projected population exposure to heavy precipitation events will significantly increase in almost all Chinese regions. For example, for heavy precipitation events that exceed the 20 year baseline return value, the population exposure over China increases from 5.7% (5.1–6.0%) to 15.9% (14.2–16.4%) in the INDC-pledge scenario compared with the present-day level. Limiting the warming to lower levels (e.g., 1.5 °C or 2.0 °C) would reduce the population exposure to heavy precipitation, thereby avoiding impacts associated with more intense precipitation events. These results contribute to an improved understanding of the future risk of climate extremes, which is paramount for the design of mitigation and adaptation policies in China.
Comparative Study of Methods for Delineating the Wellhead Protection Area in an Unconfined Coastal Aquifer
Authors: Liu Yue , Weisbrod Noam , Yakirevich Alexander
Published: June 2019

Various delineation methods, ranging from simple analytical solutions to complex numerical models, have been applied for wellhead protection area (WHPA) delineation. Numerical modeling is usually regarded as the most reliable method, but the uncertainty of input parameters has always been an obstacle. This study aims at examining the results from different WHPA delineation methods and addressing the delineation uncertainty of numerical modeling due to the uncertainty from input parameters. A comparison and uncertainty analysis were performed at two pumping sites—a single well and a wellfield consisting of eight wells in an unconfined coastal aquifer in Israel. By appointing numerical modeling as the reference method, a comparison between different methods showed that a semi-analytical method best fits the reference WHPA, and that analytical solutions produced overestimated WHPAs in unconfined aquifers as regional groundwater flow characteristics were neglected. The results from single well and wellfield indicated that interferences between wells are important for WHPA delineation, and thus, that only semi-analytical and numerical modelling are recommended for WHPA delineation at wellfields. Stochastic modeling was employed to analyze the uncertainty of numerical method, and the probabilistic distribution of WHPAs, rather a deterministic protection area, was generated with considering the uncertain input hydrogeological parameters.
Azoxystrobin resistance of Botrytis cinerea Pers.:Fr. isolates
Authors: Ferenc Takács  , Mojtaba Asadollahi  , Erzsébet Karaffa
Published: June 2019

Fungicide resistance is one of the most important problems endangering the effectivity of practical plant protection today. The frequent and subsequent usage of specific fungicides results the emergence of resistant fungal populations. This threatens is especially high in case of Botrytis cinerea Pers.:Fr. being an endemic pathogen with frequent infection. Nowadays the main method of protection as against Botrytis cinerea is the application of chemical fungicides chemicals. Therefore, a better knowledge of local populations is necessary for the planning of the protection procedures.Based on the results of our examinations we may establish that the growth of the examined samples showed a significant difference under in vitro circumstances, which shows a great deal of variability of the Botrytis cinerea populations in Hungary. Twenty-five Botrytis cinerea samples from different hosts were analyzed in this study. High resistance was found towards azoxistrobin in seven cases, and low resistance in eight cases.It was also proved, that the B. cinerea is able to bypass the inhibition site of the azoxistrobin via the alternative oxidase. The presence of this altermative mitocondrial electrotransport route considerably reduces the effectivity of the chemical.
Genetic polymorphism of candidate genes in pig meat production
Authors: Zuzana Lieskovská  , Anton Kováčik  , Anna Trakovická
Published: June 2019

H-FABP, LEPR and MC5R genes were suggested as candidate genes for fat content in pig meat. The aim of this study was to detect genetic variation in the porcine H-FABP, LEPR and MC5R genes by PCR-RFLP method in a group of pigs. Genotyping of pigs was done by PCRRFLP methods. We identified three genotypes in the set of pigs, HH (0.504), Hh (0.412) and hh (0.084) for H-FABP (HinfI). Allele H showed higher frequency than allele h (0.710 vs. 0.290). Three genotypes were identified for the H-FABP (HaeIII) gene (DD - 0.194, Dd - 0.494, dd - 0.312). The allele D (0.441) showed slightly lower frequency than allele d (0.559). All three genotypes were identified for LEPR (HpaII) in the group of pigs (AA – 0.137, AB - 0.314, BB – 0.549). Higher frequency of LEPR gene was confirmed for allele B (0.706), as compared with allele A (0.294). We identified two genotypes for MC5R (BsaHI) in the group of pigs (AA - 0.348 and AG - 0.652), genotype GG was not found. As conforms with genotype structure, we recognize a higher frequency of allele A (0.674) as compared with allele G (0.326).
Testing the antimicrobial activity of essential oils
Authors: Adela Frankova  , Pavel Kloucek  , Jakub Smid  , Lenka Nedorostova
Published: June 2019

The vapor phase of some essential oils proved to have antimicrobial activity. Utilization of the vapor phase of Eos is presently understood as one of the possible alternatives to synthetic food preservatives which could be used in the future. However, testing the vapor phase of EOs against microorganisms causing food-borne diseases (e.g. Salmonella enteritidis or Staphylococcus aureus) or food spoilage is relatively new. Consequently, due to the large number of known EOs, research on their antimicrobial activity is still largely in the phase of in vitro rather than in vivo testing. Moreover, no standard and reliable method for fast screening of a wide range of samples exists. Thus, the aim of this study is to show results concerning tests of the antimicrobial activity of EOs against S. enteritidis or S. aureus, which were conducted by two modifications of the disc volatilization method we developed. The lately developed method has the potential to become widely used for fast screening of EO antimicrobial activity in the vapor phase.