bluuebunny/crossref_metadata_2025 huggingface dataset:
An Improved Vision Method for Robust Monitoring of Multi-Point Dynamic Displacements with Smartphones in an Interference Environment
Authors: Chen Taicong , Zhou Zhou
Published: October 2020

Current research on dynamic displacement measurement based on computer vision mostly requires professional high-speed cameras and an ideal shooting environment to ensure the performance and accuracy of the analysis. However, the high cost of the camera and strict requirements of sharp image contrast and stable environment during the shooting process limit the broad application of the technology. This paper proposes an improved vision method to implement multi-point dynamic displacement measurements with smartphones in an interference environment. A motion-enhanced spatio-temporal context (MSTC) algorithm is developed and applied together with the optical flow (OF) algorithm to realize a simultaneous tracking and dynamic displacement extraction of multiple points on a vibrating structure in the interference environment. Finally, a sine-sweep vibration experiment on a cantilever sphere model is presented to validate the feasibility of the proposed method in a wide-band frequency range. In the test, a smartphone was used to shoot the vibration process of the sine-sweep-excited sphere, and illumination change, fog interference, and camera jitter were artificially simulated to represent the interference environment. The results of the proposed method are compared to conventional displacement sensor data and current vision method results. It is demonstrated that, in an interference environment, (1) the OF method is prone to mismatch the feature points and leads to data deviated or lost; (2) the conventional STC method is sensitive to target selection and can effectively track those targets having a large proportion of pixels in the context with motion tendency similar to the target center; (3) the proposed MSTC method, however, can ease the sensitivity to target selection through in-depth processing of the information in the context and finally enhance the robustness of the target tracking. In addition, the MSTC method takes less than one second to track each target between adjacent frame images, implying a potential for online measurement.
High Speed, Localized Multi-Point Strain Measurements on a Containment Vessel at 1.7 MHz Using Swept-Wavelength Laser-Interrogated Fiber Bragg Gratings
Authors: Gilbertson Steve , Pickrell Mark , Castano Dario , Salazar Gary , Beery Tom , Stone Samuel , Gibson Joshem
Published: October 2020

Dynamic elastic strain in ~1.8 and 1.0 m diameter containment vessels containing a high explosive detonation was measured using an array of fiber Bragg gratings. The all-optical method, called real-time localized strain measurement, recorded the strain for 10 ms after detonation with additional measurements being sequentially made at a rate of 1.7 MHz. A swept wavelength laser source provided the repetition rate necessary for such high-speed measurements while also providing enough signal strength and bandwidth to simultaneously measure 8 or more unique points on the vessel’s surface. The data presented here arethen compared with additional diagnostics consisting of a fast spectral interferometer and an optical backscatter reflectometer to show a comparison between the local and global changes in the vessel strain, both dynamically and statically to further characterize the performance of the localized strain measurement. The results are also compared with electrical resistive strain gauges and finite element analysis simulations.
Awareness Is Not Enough: Frequent Use of Water Pollution Information and Changes to Risky Behavior
Authors: Ross Ashley D. , Hotard Abbey , Kamalanathan Manoj , Nolen Rayna , Hala David , Clay Lauren A. , Kaiser Karl , Quigg Antonietta
Published: October 2020

Hazard information plays an important role in how risk perceptions are formed and what actions are taken in response to risk. While past studies have shown that information on water and air pollution is associated with changes to individual behavior, there is a need for examination of water quality information in the context of environmental disturbances. This study fills that gap by examining water pollution in an active industrial region of the United States—the Galveston Bay of Texas. Using original survey data collected in 2019 of 525 adults living in the Galveston Bay region, logistic regression was used to analyze the association of awareness and use of water pollution information on changes to outdoor activities and consumption of drinking water and/or seafood. Controls for chronic and acute exposure to environmental hazards, environmental knowledge and experience, and demographics were included in the model. The findings indicate frequent use of water quality information is significantly associated with action to reduce risk. On average, an individual who checks water pollution monitoring every day is 26% and 33% more likely to change their outdoor activities and consumption behavior, respectively, than someone who is not aware of this information. There is a need for improvement in pollution data collection and the development of a risk communication framework that facilitates the dissemination of this information in relevant, accessible, and credible ways.
Development of a Composite Sustainability Index for Roadway Intersection Design Alternatives in the UAE
Authors: Al-Kaabi Maryam J. , Maraqa Munjed A. , Hawas Yasser S.
Published: October 2020

Many studies have been carried out to evaluate the sustainability of transportation systems, but little attention has been given for the design of roadway intersections. This study aimed to establish a framework and develop a tool to assess the sustainability of roadway intersections from a road-user perspective. Sustainability indicators at the strategic level were extracted from the literature and were utilized with relative weights to develop economic, environmental, and social indices that would be combined into a composite sustainability index (CSI) tool. The tool was applied to four case studies of intersections in Al Ain, United Arab Emirates. For each case study, the sustainability of fifteen design alternatives was evaluated for different scenarios of traffic volume and operational speed. Dimensional indices and the overall CSI were determined using the Multi-Criteria Decision Making method. Results indicated that traffic volume had a significant impact on intersection sustainability ranking, while the effect of operational speed was insignificant. Moreover, weight assignment had an effect on determining the most sustainable design alternative, where the best alternatives of the dimension with the major weight would most likely be the most sustainable. The developed tool would assist decision-makers in other cities to assess intersection projects that correspond to their regional goals.
Fuzzy Modelling of Tourist Motivation: An Age-Related Model for Sustainable, Multi-Attraction, Urban Destinations
Authors: Vujičić Miroslav D. , Kennell James , Morrison Alastair , Filimonau Viachaslau , Štajner Papuga Ivana , Stankov Uglješa , Vasiljević Djordjije A.
Published: October 2020

Tourist motivation, as a core of travel behavior, significantly influences consumer intentions and has attracted academic attention for decades. A plethora of studies analyse sets of internal and external motivators, while methodologies that exclusively focus on a single factor, such as age, that can sometimes have a determining influence in multi-attraction destinations, are less prevalent. This study introduces a fuzzy logic approach to develop a new model for analysing the internal motivations of different-aged consumers in multi-attraction urban destinations. Fuzzy models, as a mathematical means of representing vagueness and imprecise information, have the capability of recognizing, representing, manipulating, interpreting, and utilizing data and information, which typically for urban tourist motivations, are vague and lack certainty. This research tests the model in a real-life setting, using the example of Novi Sad, a mid-sized European city, which is typical of many similar cities who are attempting to develop sustainable tourism by attracting older tourists. The new model shows how tourist motivations for multi-attraction destinations are affected by age, through a specially developed m-file for MATLAB, so that it can be applied and tested in other tourism contexts. Theoretical and practical implications for sustainable destination management and marketing are described.
The Challenge of Increasing the Effectiveness of Learning by Using Active Methodologies
Authors: Vergara Diego , Paredes-Velasco Maximiliano , Chivite Carmen , Fernández-Arias Pablo
Published: October 2020

One of the most important objectives of the Sustainable Development Goals (SDGs) is quality education, which is related to reducing school dropouts. To this end, the use of active learning methodologies improves the motivation, facilitating the learning process and, hence, reducing the dropouts. The present study proposes a methodological approach based on collaborative learning, titled: Presentation–Questions–Answers (PQA). The aim of the research is to determine whether the use of a collaborative learning methodology affects the motivation and learning of students studying theoretical content. An analytical experimental linear study was developed, whereby students were distributed across two groups, (i) a control group, which employed a lecture-based traditional approach, and (ii) an experimental group, which employed a collaborative methodology. Pre-and post-tests were carried out to assess the knowledge and motivation of students using the Situational Motivation Scale (validated scale) and a specific knowledge scale. Improvement was found in the effectiveness of the experimental group regarding the control group, with findings showing that the group utilizing the collaborative methodology acquired 64% more knowledge than the control group during the same period. However, no significant changes were found in either the intrinsic or the extrinsic motivation of the students in either group. The results prove that the use of collaborative learning maintains students’ motivation and is more effective than lecture-based methods in learning theoretical content.
The Effects of Factors of Production Shocks on Labor Productivity: New Evidence Using Panel VAR Analysis
Authors: Mohd Basri Nurliyana , Abdul Karim Zulkefly , Sulaiman Noorasiah
Published: October 2020

Labor productivity has an essential role in creating a more sustainable labor market platform, leading to better economic sustainability. However, the sluggish growth in labor productivity in Malaysia could hinder the vision in realizing the status of a high-income nation in the future. Thus, understanding how production shocks affect labor productivity sustainability is crucial for firms in managing their inputs (resources). This paper aims to elucidate how shocks in wage, capital intensity, and human capital may affect the dynamic of labor productivity in the Malaysian manufacturing industry. The study further explains the magnitude of this impact on labor productivity. This study employs the panel vector autoregression (PVAR) model in analyzing the propagation of the shocks through the impulse response function and variance decomposition. The main findings reveal that shocks in production factors have a positive and significant transitional impact on productivity and the cumulative effects are positive over time. The economic impact of wage shock is material, whereas capital intensity shock is moderate and only exerts a minor effect on labor productivity emanating from human capital shock. These findings provide further insights into assisting policymakers in amplifying the current labor market policy for sustainable economic growth.
Parameter Estimation and Hypothesis Testing of Multivariate Poisson Inverse Gaussian Regression
Authors: Mardalena Selvi , Purhadi Purhadi , Purnomo Jerry Dwi Trijoyo , Prastyo Dedy Dwi
Published: October 2020

Multivariate Poisson regression is used in order to model two or more count response variables. The Poisson regression has a strict assumption, that is the mean and the variance of response variables are equal (equidispersion). Practically, the variance can be larger than the mean (overdispersion). Thus, a suitable method for modelling these kind of data needs to be developed. One alternative model to overcome the overdispersion issue in the multi-count response variables is the Multivariate Poisson Inverse Gaussian Regression (MPIGR) model, which is extended with an exposure variable. Additionally, a modification of Bessel function that contain factorial functions is proposed in this work to make it computable. The objective of this study is to develop the parameter estimation and hypothesis testing of the MPIGR model. The parameter estimation uses the Maximum Likelihood Estimation (MLE) method, followed by the Newton–Raphson iteration. The hypothesis testing is constructed using the Maximum Likelihood Ratio Test (MLRT) method. The MPIGR model that has been developed is then applied to regress three response variables, i.e., the number of infant mortality, the number of under-five children mortality, and the number of maternal mortality on eight predictors. The unit observation is the cities and municipalities in Java Island, Indonesia. The empirical results show that three response variables that are previously mentioned are significantly affected by all predictors.
Adaptation of a Cost Overrun Risk Prediction Model to the Type of Construction Facility
Authors: Plebankiewicz Edyta , Wieczorek Damian
Published: October 2020

To assess the risk of project cost overrun, it is necessary to consider large amounts of symmetric and asymmetric data. This paper proposes a cost overrun risk prediction model, the structure of which is based on the fuzzy inference model of Mamdani. The model consists of numerous inputs and one output (multi-input-single-output (MISO)), based on processes running consecutively in three blocks (the fuzzy block, the interference block, and the block of sharpening the representative output value). The input variables of the model include the share of element costs in the building costs (SE), predicted changes in the number of works (WC), and expected changes in the unit price (PC). For the input variable SE, it is proposed to adjust the fuzzy set shapes to the type of building object. Single-family residential buildings, multi-family residential buildings, office buildings, highways, expressways, and sports fields were analyzed. The initial variable is the value of the risk of exceeding the costs of a given element of a construction investment project (R). In all, 27 rules were assumed in the interference block. Considering the possibility of applying sharpening methods in the cost overrun risk prediction model, the following defuzzification methods were investigated: the first of maxima, middle of maxima, and last of maxima method, the center of gravity method, and the bisector area method. Considering the advantages and disadvantages, the authors assumed that the correct and basic defuzzification method in the cost overrun risk prediction model was the center of gravity method. In order to check the correctness of the assumption made at the stage of designing the rule database, result diagrams were generated for the relationships between the variable (R) and the input variables of individual types of buildings. The results obtained confirm the correctness of the assumed assumptions and allow to consider the input variable (SE), adjusted individually to the model for each type of construction object, as crucial in the context of the impact on the output value of the output variable (R).
Transcriptomic Insights into the Antifungal Effects of Magnolol on the Growth and Mycotoxin Production of Alternaria alternata
Authors: Wang Liuqing , Wang Duo , Yuan Shuzhi , Feng Xiaoyuan , Wang Meng
Published: October 2020

Alternaria alternata is an important phytopathogen causing fruit black rot and also producing a variety of mycotoxins, such as alternariol (AOH) and alternariol monomethyl ether (AME) as two main contaminants. This could lead to economic losses of agricultural products as well as human health risks. In this study, magnolol extracted from the traditional Chinese herb, Mangnolia officinalis, exhibited an obvious antifungal property and could completely suppress the mycelial growth at 100 μM. Morphological differences of A. alternata were observed to be significantly shrunk and wrinkled after the exposure to magnolol. Furthermore, AOH and AME were no longer produced in response to 50 μM of magnolol. To uncover the antifungal and antimycotoxigenic mechanisms, the transcriptomic profiles of A. alternata—treated with or without magnolol—were evaluated. The clustered genes responsible for AOH and AME biosynthesis were obviously less transcribed under magnolol stress and this was further confirmed by qRT-PCR. The global regulators of carbon and nitrogen utilization, such as CreA and NmrA, were significantly down-regulated and this possibly caused the reduction in mycotoxins. In addition, fatty acid β-oxidation was regarded to contribute to polyketide mycotoxin production for the supply of precursor acetyl-CoA while the expression of these related genes was inhibited. The response to magnolol led to the marked alteration of oxidative stress and the down-expression of the mitogen-activated protein kinase (MAPK) signaling pathway from the transcriptome data and the determination of peroxidase (POD), superoxide dismutase (SOD) and glutathione (GSH) assays. This above might be the very reason for the growth supression and mycotoxin production of A. alternata by magnolol. This study provides new insights into its potential as an important active ingredient for the control of A. alternata and its mycotoxins in fruits and their products.
Veterinary Diagnostic Approach of Common Virus Diseases in Adult Honeybees
Authors: Dittes Julia , Aupperle-Lellbach Heike , Schäfer Marc O. , Mülling Christoph K. W. , Emmerich Ilka U.
Published: October 2020

Veterinarians are educated in prevention, diagnosis and treatment of diseases in various vertebrate species. As they are familiar with multifactorial health problems in single animals as well as in herd health management, their knowledge and skills can be beneficial for the beekeepers and honeybee health. However, in education and in practice, honeybees are not a common species for most veterinarians and the typical veterinary diagnostic methods such as blood sampling or auscultation are not applicable to the superorganism honeybee. Honeybee colonies may be affected by various biotic and abiotic factors. Among the infectious agents, RNA-viruses build the largest group, causing covert and overt infections in honeybee colonies which may lead to colony losses. Veterinarians could and should play a more substantial role in managing honeybee health—not limited to cases of notifiable diseases and official hygiene controls. This review discusses the veterinary diagnostic approach to adult bee examination with a special focus on diagnosis and differential diagnosis of the common virus diseases Acute Bee Paralysis Virus (ABPV)-Kashmir Bee Virus (KBV)-Israeli Acute Paralysis Virus (IAPV)-Complex, Chronic Bee Paralysis Virus (CBPV) and Deformed Wing Virus (DWV), as well as coinfections like Varroa spp. and Nosema spp.
An Interactive Data Visualization Framework for Exploring Geospatial Environmental Datasets and Model Predictions
Authors: Walker Jeffrey D. , Letcher Benjamin H. , Rodgers Kirk D. , Muhlfeld Clint C. , D’Angelo Vincent S.
Published: October 2020

With the rise of large-scale environmental models comes new challenges for how we best utilize this information in research, management and decision making. Interactive data visualizations can make large and complex datasets easier to access and explore, which can lead to knowledge discovery, hypothesis formation and improved understanding. Here, we present a web-based interactive data visualization framework, the Interactive Catchment Explorer (ICE), for exploring environmental datasets and model outputs. Using a client-based architecture, the ICE framework provides a highly interactive user experience for discovering spatial patterns, evaluating relationships between variables and identifying specific locations using multivariate criteria. Through a series of case studies, we demonstrate the application of the ICE framework to datasets and models associated with three separate research projects covering different regions in North America. From these case studies, we provide specific examples of the broader impacts that tools like these can have, including fostering discussion and collaboration among stakeholders and playing a central role in the iterative process of data collection, analysis and decision making. Overall, the ICE framework demonstrates the potential benefits and impacts of using web-based interactive data visualization tools to place environmental datasets and model outputs directly into the hands of stakeholders, managers, decision makers and other researchers.
Simulation of Water-Use Efficiency of Crops under Different Irrigation Strategies
Authors: Kuschel-Otárola Mathias , Rivera Diego , Holzapfel Eduardo , Schütze Niels , Neumann Patricio , Godoy-Faúndez Alex
Published: October 2020

Irrigation management is a key factor in attaining optimal yields, as different irrigation strategies lead to different yields even when using the same amount of water or under the same weather conditions. Our research aimed to simulate the water-use efficiency (WUE) of crops considering different irrigation strategies in the Central Valley of Chile. By means of AquaCrop-OS, we simulated expected yields for combinations of crops (maize, sugar beet, wheat), soil (clay loam, loam, silty clay loam, and silty loam), and bulk density. Thus, we tested four watering strategies: rainfed, soil moisture-based irrigation, irrigation with a fixed interval every 1, 3, 5, and 7 days, and an algorithm for optimal irrigation scheduling under water supply constraints (GET-OPTIS). The results showed that an efficient irrigation strategy must account for soil and crop characteristics. Among the tested strategies, GET-OPTIS led to the best performance for crop yield, water use, water-use efficiency, and profit, followed by the soil moisture-based strategy. Thus, soil type has an important influence on the yield and performance of different irrigation strategies, as it provides a significant storage and buffer for plants, making it possible to produce “more crop per drop”. This work can serve as a methodological guide for simulating the water-use efficiency of crops and can be used alongside evidence from the field.
Using early childhood infections to predict late childhood antibiotic consumption: a prospective cohort study
Authors: Gjessing Kristian , Ludvigsson Johnny , Faresjö Åshild Olsen , Faresjö Tomas
Published: October 2020

Background

In the Swedish welfare system, the prescription and price of antibiotics is regulated. Even so, socioeconomic circumstances might affect the consumption of antibiotics for children.

Aim

This study aimed to investigate if socioeconomic differences in antibiotic prescriptions could be found for children aged 2–14 years, and to find predictors of antibiotic consumption in children, especially if morbidity or socioeconomic status in childhood may function as predictors.

Design & setting

Participants were from All Babies In Southeast Sweden (ABIS), a prospectively followed birth cohort (N = 17 055), born 1997-1999. Pharmaceutical data for a 10-year period, from 2005–2014 were used (the cohort were aged from 5–7, up to 14–16 years). Participation at the 5-year follow-up was 7443 children. All prescriptions from inpatient, outpatient, and primary care were included. National registries and parent reports were used to define socioeconomic data for all participants. Most children’s infections were treated in primary healthcare centres.

Method

Parents of included children completed questionnaires about child morbidity at birth and at intervals up to 12 years. Their answers, combined with public records and national registries, were entered into the ABIS database and analysed. The primary outcome measure was the number of antibiotic prescriptions for each participant during a follow-up period between 2005–2014.

Results

The most important predictor for antibiotic prescription in later childhood was parent-reported number of antibiotic-treated infections at age 2–5 years (odds ratio (OR) range 1.21 to 2.23, depending on income quintile; P<0.001). In the multivariate analysis, lower income and lower paternal education level were also significantly related to higher antibiotic prescription.

Conclusion

Parent-reported antibiotic-treated infection at age 2–5 years predicted antibiotic consumption in later childhood. Swedish doctors are supposed to treat all patients individually and to follow official guidelines regarding antibiotics, to avoid antibiotics resistance. As socioeconomic factors are found to play a role, awareness is important to get unbiased treatment of all children.
F0 Modeling for Isarn Speech Synthesis using Deep Neural Networks and Syllable-level Feature Representation
Authors: Janyoi Pongsathon , Seresangtakul Pusadee
Published: October 2020

The generation of the fundamental frequency (F0) plays an important role in speech synthesis, which directly influences the naturalness of synthetic speech. In conventional parametric speech synthesis, F0 is predicted frame-by-frame. This method is insufficient to represent F0 contours in larger units, especially tone contours of syllables in tonal languages that deviate as a result of long-term context dependency. This work proposes a syllable-level F0 model that represents F0 contours within syllables, using syllable-level F0 parameters that comprise the sampling F0 points and dynamic features. A Deep Neural Network (DNN) was used to represent the relationships between syllable-level contextual features and syllable-level F0 parameters. The proposed model was examined using an Isarn speech synthesis system with both large and small training sets. For all training sets, the results of objective and subjective tests indicate that the proposed approach outperforms the baseline systems based on hidden Markov models and DNNS that predict F0 values at the frame level
SPATIAL VARIATION OF ECOLOGICAL INDICATORS OF SODDY-FORESTSOILS IN USMANSKY PINE FOREST
Authors: Belik Anton , Gorbunova Yuliya , Devyatova Tatyana , Alaeva Liliya
Published: October 2020

In modern conditions, an important component of environmental monitoring is record of the ecological state of soil cover, implying active use of geographic information systems. The existing spatial contrast of soil cover and varia-tion in the indicators of soil ecological state greatly complicates the interpretation and implementation of the results of soil-ecological monitoring into environmental practice. Traditional studies of spatial diversity considering soil properties and using geoinformation technology are of applied nature and primarily associated with the introduction of precision farming technologies into practice. GIS technologies are aimed at inventorying and assessing the state of natural resources of a particular territory, taking into account the peculiarities of their spatial dynamics. However, the use of geographic information systems to study the spatial variation of soil ecological indicators in forest ecosystems is also very relevant. These studies allow not only trace the actual changes in the ecological state of the forest soil cover, but also reveal their dependence on the level of anthropogenic load of ecosystems and carry out modeling and forecasting of the forest ecosystems' state. The article discusses the main regularities of the spatial variation of physicochemical and chemical properties of soils depending on the relief variegation . Different dispersion degrees of indicators of physical, chemical and chemical properties of soils, according to the calculated coefficient of variation have been revealed. The greatest range of variation is typical for litter and sod thickness, humus content and exchangeable potassium. (V > 33%).
WORKING PROCESS OF SB-2 DRYER (DOZA-AGRO LLC) IN THE COMPOSITION OF FUEL PELLETS PRODUCTION LINES
Authors: Sergeev Aleksandr
Published: October 2020

Waste-free wood processing technologies are conditioned by the economic and environmental aspects of human activity. One of the stages of such technologies is processing of wood waste into fuel pellets, for the production of which appropriate lines are used. They include a large number of different machines. The article presents the results of studies of the working process of SB-2 dryer produced by Doza-Agro LLC, which is a part of these lines. The paper presents its scheme and describes the principle of operation, evaluates the efficiency of the dryer working process depending on the feedstock parameters. Work process of the drying drum was carried out in the conditions of IP Kabanov, IP Bratchikov, Penza-Pellet LLC, Togliatinsky Pellet Plant LLC, Promlesilim LLC, Maslyaninsky LLC, Ekolesprom LLC, Bryansk Broiler LLC, Tandem VP LLC. The influence of feedstock moisture content, temperature of the feedstock and the particle size has been determined. The particle size was estimated by their surface area. The efficiency of the dryer was evaluated by its productivity, expressed as a percentage of the maximum possible one and obtained under optimal conditions. After processing statistical information, a second-order regression model has been obtained, which characterizes the drying process of crushed material the SB-2 dryer. It was revealed that feedstock moisture content has the greatest influence on the working process of SB-2 dryer. The drying process of crushed wood material differs from the drying process of chips. Namely, the temperature of the dryer has the smallest effect on the performance when drying the crushed material. When drying the shavings, their size has the smallest effect.
SUBSTANTIATION OF TECHNOLOGICAL POSSIBILITIES OF THE METHOD FOR STRENGTHENING DECORATIVE PROCESSING OF LOW-VALUABLE WOOD
Authors: Tarbeeva Natal'ya , Rubleva Olga
Published: October 2020

Hardwood is traditionally used for the production of finishing materials. Its high cost due to scarcity is a key factor holding back demand for solid wood products. Replacing hardwood with low-value and low-liquid raw materials helps to reduce the cost of production. Thanks to the technologies of modifying low-value wood based on pressing and heat treatment, it is possible to improve its natural properties and expand the areas of use. The paper discusses a multistage method of strengthening decorative processing of blanks from low-value wood based on firing, brushing, pressing and heat treatment. The introduction of the method into industry is constrained by the lack of scientifically grounded recommendations for its application. The purpose of the work is to study the possibility of using this method for the manufacture of finishing materials and facing parts. Systematization of information on combined multistage methods of processing wooden blanks has made it possible to identify their significant industrial potential. The differential method of qualimetry substantiates the expediency of a combination of four technological operations: firing, brushing, pressing and heat treatment. Multi-stage processing contributes to a comprehensive increase in aesthetic, physical-mechanical and protective properties of the blanks. The optimal sequence of operations included in the method has been determined through comparative analysis. A prototype of the facing tile was made based on the method. The results of evaluating the operational properties and manufacturing technologies of this facing tile (in comparison with analogues) have confirmed the possibility of using the method of strengthening decorative processing for the manufacture of finishing materials.
TÜRKİYE’NİN DOĞAL GAZ, PETROL VE KÖMÜR TÜKETİMİNİN BÜYÜMEYE ETKİSİ: EKONOMETRİK BİR ANALİZ
Authors: ATAŞ Hüseyin , GÜLER Hüseyin
Published: October 2020

Bu çalışmanın amacı 1990-2016 dönemimde Türkiye’nin petrol, doğal gaz ve kömür tüketiminin ekonomik büyümesi üzerindeki etkisini tespit etmektir. Çalışmada Gayri Safi Yurtiçi Hasıla (GSYH), gayri safi sabit sermaye oluşumu, toplam işgücü, doğal gaz, petrol ve kömür tüketimi değişkenlerine ait veriler kullanılarak analizler gerçekleştirilmiştir. Serilerin durağanlığını test etmek için genişletilmiş Dickey-Fuller birim kök testi kullanılmış ve serilerin birim kök içerdiği tespit edilmiştir. Uygun gecikme değeri belirlenerek tahmin edilen vektör otoregresif modelinin ardından Johansen eşbütünleşme testine geçilmiştir. Eşbütünleşme testi sonucu bir adet anlamlı eşbütünleşik vektör olduğu görülmüştür. Analizler sonucunda petrol, doğal gaz ve kömür tüketimi ile büyümenin uzun dönemde birlikte hareket ettiği anlaşılmıştır. Uzun dönemde doğal gaz tüketimi büyümeyi olumlu etkilemekte, petrol ve kömür tüketimi ise olumsuz etkilemektedir. GSYH’nın doğal gaz tüketimindeki şoklara ilk iki yıl için anlamlı ve pozitif tepki verdiği öte yandan petrol ve kömür tüketimindeki şoklara anlamlı bir tepki vermediği tespit edilmiştir. Bu sonuçlar Türkiye’nin büyümesinin fosil yakıt tüketimine olan bağımlılığını göstermektedir.
Ecclesia Anglicana Conference of September 2020
Authors: Gathogo Julius
Published: October 2020

As the first wave of Corona Virus Disease 2019 (Covid-19) was being experienced in Kenya since 13 March 2020, when a 27-year-old Kenyan woman became the first person to be diagnosed with it, some Anglicans in Kenya were contrariwise overcoming the shock, that went with it, as they undertook noble intellectual activities. As numbers went on soaring, and as some celebrated artists, scholars, clerics, and other cadres of society became early casualties of Covid-19, an Ecclesia Anglicana was boldly entering the ecclesiastical market-place with new rhythms hitherto unknown in Kenya’s historiography. In other words, a theo-ecclesial creativity was cooking in an African pot, and cooking well from the nethermost depths of the Ocean floor, rather than from the top stratums. While the revolutionary trigger was set on 6 August 2017, it had to await the worst pandemic since the Spanish Flu of 1918-1919 before it picked up its momentum. Put it differently, the momentum picked up astoundingly during Kenya’s Covid-19 lockdown, as two major conferences were successfully held during this chilling moment. The first major webinars’ conference was held on 26 August 2020; while the second one was held on 16 September 2020. Characteristically, the two conferences made a bold attempt at understanding the Anglican ecclesiology by cooking it from the local resources and spiced it up through the modern science and technology. Was it a protest against theo-intellectual lockdown cutting across the continent, a phenomenon where a casual observation shows that social and ecclesial leadership has largely attracted the less intellectually-inclined sons and daughters of the land? Methodologically, this article seeks to explore, and indeed make a survey of Ecclesia Anglicana and attempt to understand it beyond the founders’ perspectives, after interviews with some of them, and make an informed analysis. Second, this article will attempt to show how Ecclesia Anglicana is ushering in a new rhythm, as it beats the drums of science and technology, modern communication and social media platforms, and hopefully change the status quo for the better. It appears that nothing will slow down this rapid tempo; for if the pandemic has not, what else can do so? Third, the article will focus more on the 16 September 2020 webinar conference which, in my view, was the most climactic moment for Ecclesia Anglicana since 2017 when the idea was mooted and subsequently released to the public square for broader consumption. Will Ecclesia Anglicana help in building a more informed and/or an intellectually engaging Kenyan Anglican society?
40 años construyendo región
Authors: Melo Salazar Antonio , Sánchez Marroquín Fadhia , Parra Sandoval Francisco , Álvarez Bustos Mónica del Pilar , Uribe Sarmiento John Jairo , Rojas Forero Dayani , Henao Bernal Iván , Ramírez Meneses Natalia , Reyes Martínez Jaime Eduardo
Published: October 2020

Colombia es un país con numerosas Instituciones de Educación Superior. Muchas de ellas, situadas en las regiones, han incorporado en sus procesos de planeación estratégica, la Misión de contribuir en la difícil tarea de “construir región” en sus territorios. Este libro, junto con otros dos libros que se publican como parte de la celebración de los 40 años de fundación de la Universidad de Ibagué, ofrece el comienzo de un análisis académico sobre el modelo que ha seguido la Institución en cumplimiento del legado que le señalaron sus fundadores de compromiso con el desarrollo regional.
Links in the Chain: British slavery, Victoria and South Australia
Authors: Coventry C. J.
Published: October 2020

Beneficiaries of British slavery were present in colonial Victoria and provincial South Australia, a link overlooked by successive generations of historians. The Legacies of British Slave-ownership database, hosted by University College, London, reveals many people in these colonies as having been connected to slave money awarded as compensation by the Imperial Parliament in the 1830s. This article sets out the beneficiaries to demonstrate the scope of exposure of the colonies to slavery. The list includes governors, jurists, politicians, clergy, writers, graziers and financiers, as well as various instrumental founders of South Australia. While Victoria is likely to have received more of this capital than South Australia, the historical significance of compensation is greater for the latter because capital from beneficiaries of slavery, particularly George Fife Angas and Raikes Currie, ensured its creation. Evidence of beneficiaries of slavery surrounds us in the present in various public honours and notable buildings.
Faktor untuk Meningkatkan Inovasi di Negara Berkembang – Tinjauan Literatur Sistematis
Authors: Arviansyah Muhammad Rifqi
Published: October 2020

Abstract- Innovation is the main element to obtain sustainable competitive advantage. Based on the report from Global Innovation Index (GII), Indonesia has ranked on 85th position. The rank is behind neighboring country in Southeast Asia. Indonesia still need to improve their innovation activity. However, there are not much literature that discuss the determinant factors in order to improve innovation activity comprehensively in developing countries, especially Indonesia. The objective of this article is to build a review from previous study and discover the determinant factors that can improve innovation activity. This article use systematic literature review. The result is that there are 7 determinant factors that can improve innovation activity in developing country. Those 7 factors are separated into internal factors and external factors.

 

Abstrak- Inovasi merupakan elemen utama untuk mendapatkan keunggulan kompetitif yang berkelanjutan. Berdasarkan laporan dari Global Innovation Index (GII), Indonesia berada di peringkat ke-85 dan berada di bawah negara-negara di Asia Tenggara lainnya. Indonesia masih perlu untuk meningkatkan aktivitas inovasi. Namun, masih sedikit literatur yang membahas faktor kunci dari inovasi secara komprehensif di negara berkembang, khususnya di Indonesia. Sehingga, dibutuhkan sebuah studi untuk mencari tahu faktor-faktor kunci apa saja yang dapat meningkatkan aktivitas inovasi di negara berkembang, khususnya di Indonesia. Tujuan artikel ini adalah untuk melakukan tinjauan terhadap penelitian terdahulu dan menemukan hal apa saja yang menjadi faktor untuk meningkatkan aktivitas inovasi. Metode yang digunakan adalah tinjauan literatur sistematis. Hasilnya, terdapat 7 faktor kunci yang dapat meningkatkan aktivitas inovasi di negara berkembang. Ketujuh faktor tersebut terbagi menjadi faktor internal dan faktor eksternal.
Strategi Kebijakan Fiskal Terhadap Output dan Inflasi pada Perekonomian Indonesia dalam Menghadapi Dampak Virus Covid 19
Authors: Feranika Ayu , Haryati Dini
Published: October 2020

Abstract- This study aims to determine the fiscal policy strategy on output and inflation in the Indonesian economy in dealing with the effects of the covid virus 19. In this study, researchers chose to use descriptive research types, namely to explain an event whose operation revolves around data collection, data processing and data interpretation which is given a national meaning while still holding the principles of logic to form holistic conclusions. Data obtained through the study of literature, by reading and analyzing and analyzing a variety of literature, both in the form of documents, journals, publication data from the ministry of finance and from the official website that releases information that is relevant to research. While the data analysis is done by reducing, classifying, interpreting, and drawing conclusions. The Indonesian government adopted a comprehensive policy in the fiscal and monetary sector to deal with Covid-19. In the fiscal sector, the Government conducts a policy of refocusing activities and budget reallocation. From the revenue side, the government must pay attention to the contribution contribution from PPN and PPh Agency and from the expenditure side, the government must be able to pay attention to the realization of the use of these funds so that it is right on target and prioritizes the priority activities of the Covid pandemic prevention -19 To suppress the budget deficit.

Abstrak– Penelitian ini bertujuan untuk mengetahui strategi kebijakan fiskal terhadap output dan inflasi pada perekonomian indonesia dalam mengahadapi dampak virus covid 19. Pada penelitian ini,peneliti memilih menggunakan tipe penelitian deskriptif, yaitu untuk menjelaskan suatu peristiwa yang operasionalisasinya berkisar pada pengumpulan data, pengolahan data dan penafsiran data yang diberi makna secararasional dengan tetap memegang prinsip-prinsip logika sehingga terbentuk kesimpulan yang holistik. Data diperoleh melalui studi literatur, dengan membaca dan menelaah serta menganalisa berbagai literatur, baik berupa dokumen, jurnal, data publikasi dari kementerian keuangan maupun dari website resmi yang mengeluarkan informasiinformasi yang relevan terhadap penelitian. Sementara analisa data dilakukan denganmelakukan reduksi, klasifikasi, pemaknaan hingga penarikan kesimpulan. Pemerintah Indonesia mengambil kebijakan yang komprehensif di bidang fiskal dan moneter untuk menghadapi Covid-19. Di bidang fiskal, Pemerintah melakukan kebijakan refocusing kegiatan dan realokasi anggaran.Dari sisi penerimaan, pemerintah harus memperhatikan pemberian kontribusi penerimaan dari PPN dan PPh Badan dan dari sisi pengeluaran, pemerintah harus mampumemperhatikan realisasi penggunaan dana tersebut agar tepat sasaran dan mengutamakan kegiatan prioritas pencegahan pandemik Covid-19 Untuk menekan defisit anggaran.
ІНФОРМАЦІЙНА ТЕХНОЛОГІЯ РОЗРОБКИ БАЗИ ЗНАНЬ ПРО РОЗПІЗНАВАННЯ МІСЬКИХ БУДОВ НА ЦИФРОВИХ КОСМІЧНИХ ТА АЕРОФОТОЗНІМКАХ ПРИ АВТОМАТИЗОВАНОМУ МОНІТОРИНГУ МІСЬКОГО СЕРЕДОВИЩА
Authors: Пустоваров Володимир
Published: October 2020

У роботі розроблено та запропоновано архітектуру ансамблю нейронних мереж на основі модифікованої згорткової нейронної мережі для сегментації зображень (автокодувальника) U-net. Використання розробленої архітектури дозволить підвищити точність сегментації міських будов на цифрових космічних та аерофотознімках при автоматизованому моніторингу міського середовища. Також запропоновано технологію формального представлення побудови інформаційної технології розробки бази знань про розпізнавання міських будов на цифрових космічних та аерофотознімках при автоматизованому моніторингу міського середовища. Розроблена технологія визначає взаємозалежну сукупність етапів, з можливістю подальшого розпаралелювання виконання підетапів, з урахуванням особливостей подання (формалізації) знань про розпізнавання міських будов на цифрових космічних та аерофотознімках при автоматизованому моніторингу міського середовища.
Formazione etica ed emozioni
Authors: Niccoli Ariele
Published: October 2020

Affectivity – especially the emotions – are proved to be a key-point of ethical formation. This book aims at clarifying which thesis the neo-aristotelian Virtue Ethics hold about emotion education, by integrating philosophy of education, philosophy of emotions and moral epistemology. Virtue Ethics, compared to deontology and utilitarianism-consequentialism, offers the more appropriate framework to conceive the relations between education, emotions and ethics. The volume discusses cognitive-evaluative theories of emotions and address the anti-rationalist challenge, based on empirical evidence about how emotions impact on moral judgments. Anti-rationalism, it is argued, is incompatible with the purpose of shaping the emotions looking at our best moral reasons. Then, two Aristotelian educational theses are put forward: all the emotional dispositions – both ‘positive’ and ‘negative’ – should be cultivated, and all the emotional dispositions admit an appropriate moral form.
Fatores de risco para o desmame precoce no perí­odo neonatal: uma revisão integrativa da literatura
Authors: Duarte do Lago Itamara , Mesquita Silva Mariana , dos Santos Ferreira Meirylene , Souza Rocha Karla Nayalle , Cardoso Rocha Ruth , Rocha Bezerra Maria Augusta
Published: October 2020

Introdução: o leite materno é o alimento ideal para criança no perí­odo neonatal, por possuir todos os nutrientes necessários para seu crescimento e desenvolvimento saudável. Apesar desses benefí­cios, as prevalências de Aleitamento Materno Exclusivo estão abaixo das recomendações do Ministério da Saúde. Objetivo: analisar os fatores de risco para o desmame precoce no perí­odo neonatal destacados na literatura nacional e internacional. Método: tratou-se de uma revisão integrativa de literatura indexada nas bases de dados PUBMED, CINAHL, LILACS/BDENF/IBECS via BVS, WEB of SCIENCE e SCOPUS. A amostra constituiu-se de 12 artigos publicados entre 2001 e 2019. Resultados: identificou-se fatores de risco psicológicos, anatômofisiológicos ou patológicos; introdução de fórmula artificial/suplementação alimentar; relacionados í  técnica de amamentação; uso de utensí­lios culturais como chupetas e mamadeiras; retorno í s atividades laborais e/ou escolares. Conclusão: a análise dos artigos evidenciou a complexidade da prática do aleitamento materno e o caráter multifatorial do desmame precoce.