bluuebunny/crossref_metadata_2025 huggingface dataset:
Connecting Existing Cemeteries Saving Good Soils (for Livings)
Authors: Scalenghe Riccardo , Pantani Ottorino-Luca
Published: December 2019

Background: Urban sprawl consumes and degrades productive soils worldwide. Fast and safe decomposition of corpses requires high-quality functional soils, and land use which competes with both agriculture and buildings. On one hand, cremation does not require much land, but it has a high energy footprint, produces atmospheric pollution, and is unacceptable to some religious communities. On the other hand, as exhumations are not practiced, “green burials” require more surface area than current burial practices, so a new paradigm for managing land use is required. Conclusions: In this paper, we propose a concept for ‘green belt communalities’ (i.e., ecological corridors with multiple, yet flexible, uses and services for future generations). With the expansion of urban centers, ecological corridors gradually disappear. Cemeteries for burial plots preclude alternative uses of the land for a long time. By combining these two aspects (need for connectivity and land take imposed by cemeteries), two positive results can be achieved: protecting memories of the past and connecting ecosystems with multiple-use corridors. This new paradigm works best in flat or hilly terrain where there are already several urban agglomerations that contain traditional cemeteries. Stakeholders who might consider this concept are local administrators, planners, and the communities of individuals who share specific beliefs on burial systems.
The ‘GartenApp’: Assessing and Communicating the Ecological Potential of Private Gardens
Authors: Schneider Anne-Katrin , Strohbach Michael W. , App Mario , Schröder Boris
Published: December 2019

Private gardens make up large parts of urban green space. In contrast to public green spaces, planning and management is usually uncoordinated and independent of municipal planning and management strategies. Therefore, the potential for private gardens to provide ecosystem services and habitat and to function as corridors for wildlife is not fully utilized. In order to improve public knowledge on gardens, as well as provide individual gardeners with information on what they can contribute to enhance ecosystem services provision, we developed a GIS-based web application for the city of Braunschweig (Germany): the ‘GartenApp’ (garden app). Users of the app have to outline their garden on a web map and provide information on biodiversity related features and management practices. Finally, they are asked about observations of well recognizable species in their gardens. As an output, the gardeners are provided with an estimate of the ecosystem services their garden provides, with an evaluation of the biodiversity friendliness, customized advice on improving ecosystem services provision, and results from connectivity models that show gardeners the role of their garden in the green network of the city. In this paper, we describe the app architecture and show the first results from its application. We finish with a discussion on the potential of GIS-based web applications for urban sustainability, planning and conservation.
China’s Arable Land Investment in the “Belt and Road” Region: An Empirical Study of Overseas Arable Land Resources
Authors: Tian Renqu , Yang Zisheng , Shao Qinglong
Published: December 2019

Arable land resources are essential for food security and sustainable agricultural development, and an objective and comprehensive evaluation of overseas arable land resources is indispensable to the decision-making of various Chinese enterprises. However, overseas arable land resources and factors influencing China’s investment therein have rarely been investigated. In the present study, the authors select eight indexes related to the quantity and quality of arable land and utilize the entropy weighting method and technique for order preference by similarity to ideal solution (TOPSIS) method to comprehensively evaluate arable resources in 48 “Belt and Road” countries for the period 2008–2016. Renewable internal freshwater resources and irrigated farmland area are found to be the primary factors affecting the wealth of arable land resources. Based on this evaluation, the authors conduct empirical tests concerning the main factors affecting the scale of China’s investment in foreign arable land using a panel Tobit model. The results show that Chinese companies tend to invest in countries with high levels of arable land resources and low corruption risk. Based on these findings, this study concludes that Chinese enterprises should engage in joint development with host countries and support the sustainability of long-term investment in cultivated land.
Flexural Performance Evaluation of Novel Wide Long-Span Composite Beams Used to Construct Lower Parking Structures
Authors: Choi Yun-Chul , Choi Doo-Sung , Park Keum-Sung , Lee Kang-Seok
Published: December 2019

Efficient parking structures are urgently required in Korea. The design of parking structures more than 8 m in height is difficult because both fire and seismic resistance must be considered. Existing designs are uneconomical and conservative. However, the design of parking structures less than 8 m in height is relatively simple and there are few restrictions to the construction. It is essential to optimize the design of parking structures less than 8 m in height. Here, we describe novel wide long-span composite beams that reduce the story height of low parking structures. The flexural capacity of seven of the beams was evaluated; all beams were loaded at two points prior to monotonic bending tests. We also performed finite element analysis (FEA) based on the material properties of the test specimens, and compared the results to those of the structural tests. The flexural strength of the wide composite steel beams increased by approximately 20% as the steel thickness rose by 3 mm, from 6 to 9 mm. The rebar shape (triangular or rectangular) did not affect flexural strength. The flexural strength of beams without rebar was 10% less than that of beams with rebar. The FEA and test results were in good agreement. The section plastic moments were free from global and local instability.
Fiscal Incentives and Sustainable Urbanization: Evidence from China
Authors: Ji Li , Zhang Wei
Published: December 2019

Fiscal incentives can affect governments’ behavior and further influence economic and social development. Due to the specific conditions of the household registration system and the land ownership system in China, the urbanization process is dominated by the government. This article conceptually and empirically investigates the influence of fiscal incentives on sustainable urbanization. We theoretically analyze the fiscal reasons why land urbanization occurs faster than the population urbanization. Then we employ panel data of 30 provinces and autonomous regions in China from 2000 to 2012 to discuss the impact of fiscal incentives on urbanization from four aspects: fiscal revenue, types of taxes, fiscal self-financing rate, and tax losses. The econometric results show that both the local tax revenue and fiscal self-financing rate have a significantly negative effect on the gap between land urbanization and population urbanization. The larger the proportion of business tax, the smaller the gap, and vice versa for value-added tax. The greater the local governments’ tax losses, the greater the gap. The results explain why local governments in China choose land urbanization rather than population urbanization from the perspective of fiscal incentives.
Analysis of the Social Welfare Effect of Environmental Regulation Policy Based on a Market Structure Perspective and Consumer
Authors: Wang Lijie , Lu Jianjun
Published: December 2019

With the implementation of regulatory policies, some new problems are emerging, such as uneven governance effects, large differences in economic growth, and social welfare inequalities. In order to promote the sustainable development of both the economy and the environment, it is necessary to provide theoretical explanations for the above phenomena. Thus, this paper constructs a theoretical model of social welfare effects based on the Cournot model. Additionally, the scenario analysis method is used to analyze the social welfare effects of environmental control policies from the perspective of market structure and consumer preferences. The findings of the scenario analysis are as follows: (1) the social welfare effect of environmental subsidy policy is greater than the social welfare effect of environmental tax policy when the absolute difference between the external value of environmentally friendly goods and non-environmental goods is less than 7.4 units and (2) the implementation of environmental subsidy policies or environmental tax policies will improve social welfare when the market structure is a completely competitive market and when both of the externalities of environmentally friendly commodities and non-environmental commodities are not the same at intervals (0, 0.335) and (−0.335, 0). We conclude that (1) the government should consider externalities, market powers, and consumer preferences when implementing environmental regulation policies and (2) the government can achieve a trend toward the development of environmentally friendly goods by guiding consumer preferences and harnessing market power.
Business Model as a Concept of Sustainability in the Banking Sector
Authors: Karkowska Renata
Published: December 2019

The paper presents the concept of a sustainable bank by developing a framework based on performance of different business models. Traditional banking and investment activities, such as trading in securities or securitization, may reduce the risk of commercial banks and provide an attractive approach to sustainable finance. Using the method of assessing the performance of a bank, the study appraises the degree of sustainability of the bank from different stakeholders’ points of view. The aim of the article is to verify the research question: how does diversification of traditional activities of commercial banks affect their sustainability? The analysis has been extended by the importance of country-specific and macroeconomic factors. The survey was conducted on 368 commercial banks from European countries, using data from the period 1998−2015. The study contributes to the ongoing discussion on the recognized profitability and sustainability nexus as an important part of sustainable finance that may be a powerful solution to financial crises.
Migrant Workers and Psychological Health: A Systematic Review
Authors: Mucci Nicola , Traversini Veronica , Giorgi Gabriele , Tommasi Eleonora , De Sio Simone , Arcangeli Giulio
Published: December 2019

Migrant workers show an increase in the incidence of serious, psychotic, anxiety, and post-traumatic disorders due to a series of socio-environmental variables, such as loss of social status, discrimination, and separations from the family. The purpose is to elaborate a systematic review and highlight the prevailing psychological pathologies of these workers and categories most at risk. Our research included articles published from 2009 to 2019 on the major databases (Pub Med, Cochrane Library, and Scopus) using a combination of some keywords. The online search indicated 1.228 references. Using inclusion and exclusion criteria, we analyzed 127 articles, in particular 12 reviews and 115 original articles. Principal emerging disorders from the research are depressive syndrome (poor concentration at work, feeling down, or anger and somatization), anxiety, alcohol or substance abuse, and poor sleep quality. This causes low life conditions, which is also due to marginalization from the social context and strenuous work; in fact, migrant workers may suffer verbal or physical abuse, and they are often employed in dangerous, unhealthy jobs. It is therefore essential to increase the role of occupational medicine and promote wellbeing for this vulnerable job category.
A National Study on Transportation Affordability of HUD Housing Assistance Programs
Authors: Jahan Jinat , Hamidi Shima
Published: December 2019

This national study is an effort to measure transportation costs and affordability for the major Housing and Urban Development (HUD) housing assistance programs since the transportation costs are the second largest expense of American households. This study estimates transportation costs for 76,000 address level properties from seven major HUD-designated affordable housing programs. Our transportation cost models are tailored for low-income households and account for built environmental determinants of travel, known as D variables, at the disaggregated level. We found that more than 44% of these properties in 326 U.S. metropolitan areas are unaffordable in terms of transportation costs. That could result in a waste of over $37.9 billion HUD spends annually to run these programs and subsidize housing for low-income families while some of these families spend substantial amount of their income on transportation. Our findings suggest that the provision of subsidized housing in mixed use, and transit-served neighborhoods would help low-income households to reduce their transportation costs even in auto-oriented sprawling regions. This study concludes with policy recommendations to local and federal governments and transit agencies on ways to incorporate transportation parameters to ensure true affordability for low-income residents of subsidized housing.
Sustainable Policy Evaluation of Vehicle Exhaust Control—Empirical Data from China’s Air Pollution Control
Authors: Zhang Xian , Wang Qinglong , Qin Weina , Guo Limei
Published: December 2019

With the increase of car ownership, mobile pollution has become an important source of air pollution, which makes it more difficult for China to control air pollution. In order to control mobile pollution from automobile exhaust, China has taken a series of comprehensive measures. The paper studies the emission reduction effect from the perspective of flow pollution and stock pollution. First of all, the paper uses the actual emission data of motor vehicles to study the emission reduction effect by gasoline and diesel vehicles. The results show that: (1) Fuel price, fuel tax (except diesel), and emission and gasoline standards have an emission reduction effect on gasoline vehicle exhaust control, while the restriction has no effect. (2) In gasoline cars, the emission reduction effect in the Middle East is more significant than in the West, and the effect in the West is better than that in the Middle East. (3) As for diesel vehicles, the effect of policy in the West is superior to the East. Further, the east is better than in the middle. Secondly, based on the actual emission data of Chinese motor vehicles, the paper simulates the change value of stock pollution from automobile exhaust under different policies, and concludes that the economic effect of policy depends on the ecological absorption rate and discount rate. When the net discount value NPV is positive, the government should do its best to interfere with the emission of automobile exhaust. When the net discount value NPV is negative, the government doesn’t have to interfere with the emission of automobile exhaust.
Research Progress in the Conservation and Development of China-Nationally Important Agricultural Heritage Systems (China-NIAHS)
Authors: Min Qingwen , Zhang Bitian
Published: December 2019

To cope with the problem of the global agricultural environment, food security, and the crisis of sustainable agricultural development, the Food and Agriculture Organization (FAO), together with other relevant national organizations and several countries, launched the Globally Important Agricultural Heritage Systems (GIAHS) in 2002. The Qingtian Rice-Fish system was designated as China’s first GIAHS and was included in the first batch of GIAHS pilot sites, in 2005. Since then, study of systematic agricultural heritage and its conservation and development has progressed in China. On the basis of a comprehensive collection of relevant studies, the author reviews the main achievements in conservation and development of China-Nationally Important Agricultural Heritage Systems (China-NIAHS) over the past 15 years. At the present stage, the core contents of study on agricultural heritage are focused on two aspects. One is the benefit of exploration with multi-functional development. Another is dynamic conservation with adaptive management. There are many controversies around the concept and connotation of agricultural heritage, which, in turn, promote the understanding of this new type of heritage. The sustainable mechanism within agricultural heritage gives itself value diversity. Study about the value of agricultural heritage highlights the significance of conservation. The development of multi-functional industrials based on its multi-functional value is the pathway for the development of China-NIAHS, including the production of high-quality and characteristic local agricultural products, the development of ecotourism, and the development of cultural industries. To carry out dynamic conservation and adaptive management, the establishment of "five in one" benefit-sharing, multi-stakeholder mechanisms, legally guaranteed incentive mechanisms, government-leading, multi-financing mechanisms, and multi-disciplinary scientific support mechanisms are indispensable. Although China has made great progress in the study of agricultural heritage, it still needs to carry out additional research through heritage resources surveys, regular patterns of system evolution, and sustainable mechanisms, as well as perform more applicable research in framework and mechanism construction and paradigms of dynamic protection. Multidisciplinary comprehensive studies are necessary as well.
Agronomic Evaluation of Bread Wheat Varieties from Participatory Breeding: A Combination of Performance and Robustness
Authors: Goldringer Isabelle , van Frank Gaëlle , Bouvier d’Yvoire Caroline , Forst Emma , Galic Nathalie , Garnault Maxime , Locqueville Jonathan , Pin Sophie , Bailly Julien , Baltassat Raphael , Berthellot Jean-François , Caizergues François , Dalmasso Christian , de Kochko Patrick , Gascuel Jean-Sébastien , Hyacinthe Alexandre , Lacanette Julien , Mercier Florent , Montaz Hélène , Ronot Bernard , Rivière Pierre
Published: December 2019

Participatory plant breeding (PPB) is based on the decentralization of selection in farmers’ fields and their involvement in decision-making at all steps of the breeding scheme. Despite the evidence of its benefits to develop population varieties adapted to diversified and local practices and conditions, such as organic farming, PPB is still not widely used. There is a need to share more broadly how the different programs have overcome scientific, practical, and organizational issues and produced a large number of positive outcomes. Here, we report on a PPB program that started on bread wheat in France in 2006 and has achieved a range of outcomes, from the emergence of new organization among actors, to specific experimental designs and statistical methods developed, and to populations varieties developed and cultivated by farmers. We present the results of a two-year agronomic evaluation of the first population varieties developed within this PPB program compared to two commercial varieties currently grown in organic agriculture. We found that several PPB varieties were of great agronomic interest, combining relatively good performance even under the most favorable conditions of organic agriculture and good robustness, i.e., the ability to maintain productivity under more constraining conditions. The PPB varieties also tended to show a good temporal dynamic stability and appeared promising for the farmers involved.
Accessibility in Practice: 20-Minute City as a Sustainability Planning Goal
Authors: Capasso Da Silva Denise , King David A. , Lemar Shea
Published: December 2019

Cities can enhance their sustainability planning by prioritizing accessibility as a performance metric for transportation planning. In this context, accessibility measures the ease of reaching opportunities and captures more characteristics of sustainable cities than the more conventionally used mobility metrics, focusing on the overall ability to move and generally recommending faster speeds to overcome distance. However, how cities can prioritize accessibility in planning is understudied. This research presents a case of Tempe, Arizona, putting accessibility into practice through a 20-min lens. Using a 20-min threshold for all modes, the city aims to promote travel for daily activities that is less reliant on private autos. The analysis presented here documents the challenges that planners face when planning for accessibility. The challenges range from technical points to decisions that need to be made about the quality of the built environment. The analysis also shows that Tempe, which is a classically suburban city of wide roads and single-family homes that was built around the automobile, is highly accessible by a 20-min metric by bicycling, walking and transit. These results suggest that planners focus on street network improvements that prioritize accessibility as part of a sustainability strategy.
CQ-Type Algorithm for Reckoning Best Proximity Points of EP-Operators
Authors: Houmani Hassan , Turcanu Teodor
Published: December 2019

We introduce a new class of non-self mappings by means of a condition which is called the (EP)-condition. This class includes proximal generalized nonexpansive mappings. It is shown that the existence of best proximity points for (EP)-mappings is equivalent to the existence of an approximate best proximity point sequence generated by a three-step iterative process. We also construct a CQ-type algorithm which generates a strongly convergent sequence to the best proximity point for a given (EP)-mapping.
Fixed-Points of Interpolative Ćirić-Reich–Rus-Type Contractions in b-Metric Spaces
Authors: Debnath Pradip , de La Sen Manuel
Published: December 2019

The concept of symmetry is inherent in the study of metric spaces due to the presence of the symmetric property of the metric. Significant results, such as with the Borsuk–Ulam theorem, make use of fixed-point arguments in their proofs to deal with certain symmetry principles. As such, the study of fixed-point results in metric spaces is highly correlated with the symmetry concept. In the current paper, we first define a new and modified Ćirić-Reich–Rus-type contraction in a b-metric space by incorporating the constant s in its definition and establish the corresponding fixed-point result. Next, we adopt an interpolative approach to establish some more fixed-point theorems. Existence of fixed points for ω -interpolative Ćirić-Reich–Rus-type contractions are investigated in this context. We also illustrate the validity of our results with some examples.
Complex Patterns to the (3+1)-Dimensional B-type Kadomtsev-Petviashvili-Boussinesq Equation
Authors: García Guirao Juan Luis , Baskonus H. M. , Kumar Ajay , Rawat M. S. , Yel Gulnur
Published: December 2019

This paper presents many new complex combined dark-bright soliton solutions obtained with the help of the accurate sine-Gordon expansion method to the B-type Kadomtsev-Petviashvili-Boussinesq equation with binary power order nonlinearity. With the use of some computational programs, we plot many new surfaces of the results obtained in this paper. In addition, we present the interactions between complex travelling wave patterns and their solitons.
Bias, Precision, and Accuracy of Skewness and Kurtosis Estimators for Frequently Used Continuous Distributions
Authors: Bono Roser , Arnau Jaume , Alarcón Rafael , Blanca Maria J.
Published: December 2019

Several measures of skewness and kurtosis were proposed by Hogg (1974) in order to reduce the bias of conventional estimators when the distribution is non-normal. Here we conducted a Monte Carlo simulation study to compare the performance of conventional and Hogg’s estimators, considering the most frequent continuous distributions used in health, education, and social sciences (gamma, lognormal and exponential distributions). In order to determine the bias, precision and accuracy of the skewness and kurtosis estimators for each distribution we calculated the relative bias, the coefficient of variation, and the scaled root mean square error. The effect of sample size on the estimators is also analyzed. In addition, a SAS program for calculating both conventional and Hogg’s estimators is presented. The results indicated that for the non-normal distributions investigated, the estimators of skewness and kurtosis which best reflect the shape of the distribution are Hogg’s estimators. It should also be noted that Hogg’s estimators are not as affected by sample size as are conventional estimators.
Statistical Inference for the Weibull Distribution Based on δ-Record Data
Authors: Gouet Raúl , López F. Javier , Maldonado Lina , Sanz Gerardo
Published: December 2019

We consider the maximum likelihood and Bayesian estimation of parameters and prediction of future records of the Weibull distribution from δ -record data, which consists of records and near-records. We discuss existence, consistency and numerical computation of estimators and predictors. The performance of the proposed methodology is assessed by Montecarlo simulations and the analysis of monthly rainfall series. Our conclusion is that inferences for the Weibull model, based on δ -record data, clearly improve inferences based solely on records. This methodology can be recommended, more so as near-records can be collected along with records, keeping essentially the same experimental design.
Emotion Classification Based on Biophysical Signals and Machine Learning Techniques
Authors: Bălan Oana , Moise Gabriela , Petrescu Livia , Moldoveanu Alin , Leordeanu Marius , Moldoveanu Florica
Published: December 2019

Emotions constitute an indispensable component of our everyday life. They consist of conscious mental reactions towards objects or situations and are associated with various physiological, behavioral, and cognitive changes. In this paper, we propose a comparative analysis between different machine learning and deep learning techniques, with and without feature selection, for binarily classifying the six basic emotions, namely anger, disgust, fear, joy, sadness, and surprise, into two symmetrical categorical classes (emotion and no emotion), using the physiological recordings and subjective ratings of valence, arousal, and dominance from the DEAP (Dataset for Emotion Analysis using EEG, Physiological and Video Signals) database. The results showed that the maximum classification accuracies for each emotion were: anger: 98.02%, joy:100%, surprise: 96%, disgust: 95%, fear: 90.75%, and sadness: 90.08%. In the case of four emotions (anger, disgust, fear, and sadness), the classification accuracies were higher without feature selection. Our approach to emotion classification has future applicability in the field of affective computing, which includes all the methods used for the automatic assessment of emotions and their applications in healthcare, education, marketing, website personalization, recommender systems, video games, and social media.
Creating a Computable Cognitive Model of Visual Aesthetics for Automatic Aesthetics Evaluation of Robotic Dance Poses
Authors: Peng Hua , Li Jing , Hu Huosheng , Hu Keli , Tang Chao , Ding Yulong
Published: December 2019

Inspired by human dancers who can evaluate the aesthetics of their own dance poses through mirror observation, this paper presents a corresponding mechanism for robots to improve their cognitive and autonomous abilities. Essentially, the proposed mechanism is a brain-like intelligent system that is symmetrical to the visual cognitive nervous system of the human brain. Specifically, a computable cognitive model of visual aesthetics is developed using the two important aesthetic cognitive neural models of the human brain, which is then applied in the automatic aesthetics evaluation of robotic dance poses. Three kinds of features (color, shape and orientation) are extracted in a manner similar to the visual feature elements extracted by human brains. After applying machine learning methods in different feature combinations, machine aesthetics models are built for automatic evaluation of robotic dance poses. The simulation results show that our approach can process visual information effectively by cognitive computation, and achieved a very good evaluation performance of automatic aesthetics.
Axion Stars
Authors: Zhang Hong
Published: December 2019

The dark matter particle can be a QCD axion or axion-like particle. A locally over-densed distribution of axions can condense into a bound Bose–Einstein condensate called an axion star, which can be bound by self-gravity or bound by self-interactions. It is possible that a significant fraction of the dark matter axion is in the form of axion stars. This would make some efforts searching for the axion as the dark matter particle more challenging, but at the same time it would also open up new possibilities. Some of the properties of axion stars, including their emission rates and their interactions with other astrophysical objects, are not yet completely understood.
Skyrmion Crystals and Phase Transitions in Magneto-Ferroelectric Superlattices: Dzyaloshinskii–Moriya Interaction in a Frustrated J1 − J2 Model
Authors: Sharafullin Ildus F. , Diep Hung T.
Published: December 2019

The formation of a skyrmion crystal and its phase transition are studied, taking into account the Dzyaloshinskii–Moriya (DM) interaction at the interface between a ferroelectric layer and a magnetic layer in a superlattice. Frustration is introduced in both magnetic and ferroelectric films. The films have a simple cubic lattice structure. The spins inside the magnetic layers are Heisenberg spins interacting with each other via nearest-neighbor (NN) exchange J m and next-nearest-neighbor (NNN) exchange J 2 m . The polarizations in the ferroelectric layers are assumed to be of Ising type with NN and NNN interactions J f and J 2 f . At the magnetoelectric interface, a DM interaction J m f between spins and polarizations is supposed. The spin configuration in the ground state is calculated by the steepest descent method. In an applied magnetic field H perpendicular to the layers, we show that the formation of skyrmions at the magnetoelectric interface is strongly enhanced by the frustration brought about by the NNN antiferromagnetic interactions J 2 m and J 2 f . Various physical quantities at finite temperatures are obtained by Monte Carlo simulations. We show the critical temperature, the order parameters of magnetic and ferroelectric layers as functions of the interface DM coupling, the applied magnetic field, and J 2 m and J 2 f . The phase transition to the disordered phase is studied in detail.
Fully Automatic Facial Deformation Transfer
Authors: Bian Shaojun , Zheng Anzong , Gao Lin , Maguire Greg , Kokke Willem , Macey Jon , You Lihua , Zhang Jian J.
Published: December 2019

Facial Animation is a serious and ongoing challenge for the Computer Graphic industry. Because diverse and complex emotions need to be expressed by different facial deformation and animation, copying facial deformations from existing character to another is widely needed in both industry and academia, to reduce time-consuming and repetitive manual work of modeling to create the 3D shape sequences for every new character. But transfer of realistic facial animations between two 3D models is limited and inconvenient for general use. Modern deformation transfer methods require correspondences mapping, in most cases, which are tedious to get. In this paper, we present a fast and automatic approach to transfer the deformations of the facial mesh models by obtaining the 3D point-wise correspondences in the automatic manner. The key idea is that we could estimate the correspondences with different facial meshes using the robust facial landmark detection method by projecting the 3D model to the 2D image. Experiments show that without any manual labelling efforts, our method detects reliable correspondences faster and simpler compared with the state-of-the-art automatic deformation transfer method on the facial models.
A Novel Hybrid Data-Driven Modeling Method for Missiles
Authors: He Yongxiang , Guo Hongwu , Han Yang
Published: December 2019

This paper proposes a novel hybrid data-driven modeling method for missiles. Based on actual flight test data, the missile hybrid model is established by combining neural networks and the mechanism modeling method, considering the uncertainties and nonlinear factors in missiles. This method can avoid the problems in missile mechanism modeling and traditional data-driven modeling, and can also provide a solution for nonlinear dynamic system modeling problems in offline usage scenarios. Finally, the feasibility of the proposed method and the credibility of the established model are verified by simulation experiments and statistical analysis.
A Hybrid Mechanism for Helicopters
Authors: Chiu Kevin Kuan-Shun , Lee Jeou-Long , Tseng Ming-Lang , Hsu Rosslyn Hsiu-Ling , Chen Yen-Jen
Published: December 2019

This study successfully provides the empirical practicability of a hybrid mechanism for helicopters. A turbine engine and a set of electricity power systems can operate simultaneously and/or independently as a symmetric structure. The latter power source works as an immediate supplementary device if the former one has malfunction. We look forward to promoting this experimental evidence in the helicopter industry. The ultimate purpose of this manuscript is to decrease the incidents of crashes and save people’s lives.
Marine Toxins Detection by Biosensors Based on Aptamers
Authors: Ye Wei , Liu Taomei , Zhang Weimin , Zhu Muzi , Liu Zhaoming , Kong Yali , Liu Shan
Published: December 2019

Marine toxins cause great harm to human health through seafood, therefore, it is urgent to exploit new marine toxins detection methods with the merits of high sensitivity and specificity, low detection limit, convenience, and high efficiency. Aptasensors have emerged to replace classical detection methods for marine toxins detection. The rapid development of molecular biological approaches, sequencing technology, material science, electronics and chemical science boost the preparation and application of aptasensors. Taken together, the aptamer-based biosensors would be the best candidate for detection of the marine toxins with the merits of high sensitivity and specificity, convenience, time-saving, relatively low cost, extremely low detection limit, and high throughput, which have reduced the detection limit of marine toxins from nM to fM. This article reviews the detection of marine toxins by aptamer-based biosensors, as well as the selection approach for the systematic evolution of ligands by exponential enrichment (SELEX), the aptamer sequences. Moreover, the newest aptasensors and the future prospective are also discussed, which would provide thereotical basis for the future development of marine toxins detection by aptasensors.
Evaluation of Electrolyte Concentration and Pro-Inflammatory and Oxidative Status in Dogs with Advanced Chronic Kidney Disease under Dietary Treatment
Authors: Halfen Doris Pereira , Caragelasco Douglas Segalla , Nogueira Juliana Paschoalin de Souza , Jeremias Juliana Toloi , Pedrinelli Vivian , Oba Patrícia Massae , Ruberti Bruna , Pontieri Cristiana Fonseca Ferreira , Kogika Marcia Mery , Brunetto Marcio Antonio
Published: December 2019

An integrated study on the effect of renal diet on mineral metabolism, fibroblast growth factor 23 (FGF-23), total antioxidant capacity, and inflammatory markers has not been performed previously. In this study, we evaluated the effects of renal diet on mineral metabolism, oxidative stress and inflammation in dogs with stage 3 or 4 of chronic kidney disease (CKD). Body condition score (BCS), muscle condition score (MCS), serum biochemical profile, ionized calcium (i-Ca), total calcium (t-Ca), phosphorus (P), urea, creatinine, parathyroid hormone (PTH), FGF-23, interleukin 6 (IL-6), interleukin 10 (IL-10), tumor necrosis factor alpha (TNF-α) and total antioxidant capacity (TAC) were measured at baseline (T0) and after 6 months of dietary treatment (T6). Serum urea, P, t-Ca, i-Ca, PTH, FGF-23, IL-6, IL-10, TNF-α and TAC measurements did not differ between T0 and T6. Serum creatinine (SCr) was increased at T6 and serum PTH concentrations were positively correlated with serum SCr and urea. i-Ca was negatively correlated with urea and serum phosphorus was positively correlated with FGF-23. Urea and creatinine were positively correlated. The combination of renal diet and support treatment over 6 months in dogs with CKD stage 3 or 4 was effective in controlling uremia, acid–base balance, blood pressure, total antioxidant capacity, and inflammatory cytokine levels and in maintaining BCS and MCS.
Alteration of Bumblebee Venom Composition toward Higher Elevation
Authors: Barkan Nezahat Pınar , Chevalier Mathieu , Pradervand Jean-Nicolas , Guisan Antoine
Published: December 2019

Venomous animals use venom, a complex biofluid composed of unique mixtures of proteins and peptides, for either predation or defense. Bumblebees, which occur in various habitats due to their unique thermoregulatory properties, mainly use venom for defense. Herein, we conducted an exploratory analysis of the venom composition of a bumblebee species (Bombus pascuorum) along an elevation gradient in the western Swiss Alps using shot-gun proteomic approaches to assess whether their defense mechanism varies along the gradient. The gradient was characterized by high temperatures and low humidity at low elevations and low temperatures and high humidity at high elevations. Venom composition is changing along the elevation gradient, with proteomic variation in the abundances of pain-inducing and allergenic proteins. In particular, the abundance of phospholipase A2-like, the main component of bumblebee venom, gradually decreases toward higher elevation (lower temperature), suggesting venom alteration and thus a decrease in bumblebee defense towards harsher environments. Larger datasets may complement this study to validate the observed novel trends.
A Review on the Study of Cyanotoxins in Paleolimnological Research: Current Knowledge and Future Needs
Authors: Henao Eliana , Rzymski Piotr , Waters Matthew
Published: December 2019

Cyanobacterial metabolites are increasingly studied, in regards to their biosynthesis, ecological role, toxicity, and potential biomedical applications. However, the history of cyanotoxins prior to the last few decades is virtually unknown. Only a few paleolimnological studies have been undertaken to date, and these have focused exclusively on microcystins and cylindrospermopsins, both successfully identified in lake sediments up to 200 and 4700 years old, respectively. In this paper, we review direct extraction, quantification, and application of cyanotoxins in sediment cores, and put forward future research prospects in this field. Cyanobacterial toxin research is also compared to other paleo-cyanobacteria tools, such as sedimentary pigments, akinetes, and ancient DNA isolation, to identify the role of each tool in reproducing the history of cyanobacteria. Such investigations may also be beneficial for further elucidation of the biological role of cyanotoxins, particularly if coupled with analyses of other abiotic and biotic sedimentary features. In addition, we identify current limitations as well as future directions for applications in the field of paleolimnological studies on cyanotoxins.
Role of Tibial Tuberosity Fracture/Fissure through the Maquet Hole in Stifle Osteoarthritis after Porous Tibial Tuberosity Advancement in Dogs at Mid-Term Follow-Up
Authors: Crovace Alberto , Staffieri Francesco , Monopoli Donato , Artiles Alejandro , Fracassi Laura , Crovace Antonio , Lacitignola Luca
Published: December 2019

Tibial tuberosity advancement (TTA) is used to treat cranial cruciate ligament rupture of the stifle joint in dogs. Tibial tuberosity fracture/fissure is a complication of TTA that may have a favorable prognosis. The aim of this study was to detect how tibial tuberosity fracture/fissure through the Maquet hole worsens the progression of osteoarthritis (OA) in the stifle joint of dogs treated with porous TTA. Seventeen cases were included in the study, divided into two groups. The first group (n = 10) included subjects that had tibial tuberosity fracture/fissure through the Maquet, and the second group included subjects that had no complications (n = 7). Both groups showed significant progression compared to OA at 3 months after surgery. We observed that at T0, the control group showed a higher level of OA. For this reason, we normalized the OA scores, evaluating the percentage difference from T0 and T1. We verified that there were no statistically significant differences between the two groups. The results confirm that OA progression in subjects undergoing TTA was not significantly influenced by fracture/fissure of the tibial tuberosity through the Maquet hole. Therefore, fracture fissure through the Maquet hole should be considered as a common minor complication during TTA.
Use of Larval Morphological Deformities in Chironomus plumosus (Chironomidae: Diptera) as an Indicator of Freshwater Environmental Contamination (Lake Trasimeno, Italy)
Authors: Goretti Enzo , Pallottini Matteo , Pagliarini Sarah , Catasti Marianna , La Porta Gianandrea , Selvaggi Roberta , Gaino Elda , Di Giulio Alessandro Maria , Ali Arshad
Published: December 2019

The mentum deformity incidence in Chironomus plumosus larvae to assess the environmental contamination level in Lake Trasimeno, Central Italy, was investigated. The survey lasted from May 2018 to August 2019. Fifty-one samplings were carried out: 34 in the littoral zone and 17 in the central zone. The deformity assessment was based on 737 and 2767 larval specimens of C. plumosus collected from the littoral and central zones, respectively. Comparison of the larval morphometric variables between normal and deformed specimens highlighted that the deformities did not cause alterations of the larval growth. The deformity incidence amounted to 7.22% in the whole Trasimeno’s ecosystem, reaching 8.28% in the littoral zone and 6.94% in the central zone. Among the different seasonal cohorts, the spring cohort had overall the highest deformity value (11.41%). The deformity type assessment protocol highlighted that the most common deformity type was “round/filed teeth” (64%). The results of this 2018–2019 survey revealed a low deformity incidence, within the background range of relatively low-impacted freshwaters. Comparison with previous investigations (2000–2010) of the same habitat showed a clear decrease of the deformity incidence. This study further contributes to the evaluation of the mentum deformity in chironomids that represent an indicator endpoint of the anthropogenic contamination level in freshwaters.
The Dynamic Change of Bosten Lake Area in Response to Climate in the Past 30 Years
Authors: Dai Xiaoai , Yang Xingping , Wang Meilian , Gao Yu , Liu Senhao , Zhang Junmin
Published: December 2019

The widely distributed lakes, as one of the major components of the inland water system, are the primary available freshwater resources on the earth and are sensitive to accelerated climate change and extensive human activities. Lakes play an important role in the terrestrial water cycle and biogeochemical cycle and substantially influence the health of humans living in the surrounding areas. Given the importance of lakes in the ecosystem, long-term monitoring of dynamic changes has important theoretical and practical significance. Here, we extracted water body information and monitored the long-term dynamics of Bosten Lake, which is the largest inland lake in China. We quantified the meteorological factors of the study area from the observation data of meteorological stations between 1988 and 2018. The characteristics of climate change and its correlation with the change of area in the Bosten Lake Basin in the past 30 years were analyzed. The major contributions of this study are as follows: (1) The initial water body was segmented based on the water index model Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI) with a pre-assigned threshold value. The results were evaluated with the area extracted through artificial visual interpretation. Then we conducted mathematical morphology operators, opening and closing operations, and median filter to eliminate noise to ensure the accuracy of water body information extraction from the Bosten Lake. A long-term water surface area database of the Bosten Lake was established from high-resolution remote sensing images during 1988–2018. (2) Due to the seasonal difference of snow, ice content, and other objects on images, the areadynamics of Bosten Lake in the recent 30 years were analyzed separately in dry season and rainy season. The water surface area of Bosten Lake showed large inter-annual variations between 1988–2018. (3) Based on the assumption that climatic change has more direct effects on lake than human activities, six meteorological factors were selected to analyze the impacts of climate change on the annual mean lake surface area. The result indicated that in the past 30 years, climate conditions in the Bosten Lake Basin fluctuated greatly. We conducted correlations analysis between the areal dynamics of the Bosten Lake and the meteorological factors. Here, the annual average evaporation had the highest correlation with the areal dynamics of Bosten Lake followed by air temperature, precipitation, sunshine hours, and relative humidity, while the annual average wind speed had the weakest correlation.
Application of Ionizing Radiation in Wastewater Treatment: An Overview
Authors: Abdel Rahman Rehab O. , Hung Yung-Tse
Published: December 2019

Technological applications of nuclear science and technology in different sectors have proved their reliabilities and sustainability over decades. These applications have supported various human civilization needs, ranging from power generation to industrial, medical, and environmental applications. Environmental applications of radiation sources are used to support decision making processes in many fields; including the detection and analysis of pollutant transport, water resources management, and treatment of municipal and industrial wastewaters. This work reviewed recent advances in the research and applications of ionizing radiation in treating different wastewater effluents. The main objective of the work is to highlight the role of ionizing radiation technology in the treatment of complex wastewater effluents generated from various human activities and to address its sustainability. Results of both laboratory and industrial scale applications of this treatment technology have been reviewed, and information on operational safety of industrial irradiators, which affect the sustainability of this technology, has been summarized.
Analysis of Risk Assessment in a Municipal Wastewater Treatment Plant Located in Upper Silesia
Authors: Łój-Pilch Magdalena , Zakrzewska Anita
Published: December 2019

Nowadays, risk management applies to every technical facility, branch of the economy, and industry. Due to the characteristics of the analyzed wastewater treatment plant and the specificity of the used processes, one must approach different areas individually. Municipal sewage treatment plants are technical facilities; they function as enterprises and are elements of larger systems—water distribution and sewage disposal. Due to their strategic importance for the environment and human beings, it is essential that they are covered by risk management systems. The basic stage of risk management is its assessment. On its basis, strategic decisions are made and new solutions are introduced. Constant monitoring of the operation of a treatment plant allows for assessment of whether actions taken are correct and whether they cause deterioration of the quality of sewage. In our work, we present a method of risk assessment based on historical data for an existing facility and obtained results.