bluuebunny/crossref_metadata_2025 huggingface dataset:
A Platform with Multiple Head-Mounted Displays for Advanced Training in Modern Driving Schools
Authors: Abdelgawad Kareem , Gausemeier Jürgen , Stöcklein Jörg , Grafe Michael , Berssenbrügge Jan , Dumitrescu Roman
Published: October 2017

Automotive manufacturers and suppliers develop new vehicle systems, such as Advanced Driver Assistance Systems (ADAS), to increase traffic safety and driving comfort. ADAS are technologies that provide drivers with essential information or take over demanding driving tasks. More complex and intelligent vehicle systems are being developed toward fully autonomous and cooperative driving. Apart from the technical development challenges, training of drivers with these complex vehicle systems represents an important concern for automotive manufacturers. This paper highlights the new evolving requirements concerning the training of drivers with future complex vehicle systems. In accordance with these requirements, a new training concept is introduced, and a prototype of a training platform is implemented for utilization in future driving schools. The developed training platform has a scalable and modular architecture so that more than one driving simulator can be networked to a common driving instructor unit. The participating driving simulators provide fully immersive visualization to the drivers by utilizing head-mounted displays instead of conventional display screens and projectors. The driving instructor unit consists of a computer with a developed software tool for training session control, monitoring, and evaluation. Moreover, the driving instructor can use a head-mounted display to participate interactively within the same virtual environment of any selected driver. A simulation model of an autonomous driving system was implemented and integrated in the participating driving simulators. Using this simulation model, training sessions were conducted with the help of a group of test drivers and professional driving instructors to prove the validity of the developed concept and show the usability of the implemented training platform.
Addressing Complexities of Machine Learning in Big Data: Principles, Trends and Challenges from Systematical Perspectives
Authors: Wang Qi , Zhao Xia , Huang Jincai , Feng Yanghe , Su Jiahao , Luo Zhihao
Published: October 2017

The concept of ‘big data’ has been widely discussed, and its value has been illuminated throughout a variety of domains. To quickly mine potential values and alleviate the ever-increasing volume of information, machine learning is playing an increasingly important role and faces more challenges than ever. Because few studies exist regarding how to modify machine learning techniques to accommodate big data environments, we provide a comprehensive overview of the history of the evolution of big data, the foundations of machine learning, and the bottlenecks and trends of machine learning in the big data era. More specifically, based on learning principals, we discuss regularization to enhance generalization. The challenges of quality in big data are reduced to the curse of dimensionality, class imbalances, concept drift and label noise, and the underlying reasons and mainstream methodologies to address these challenges are introduced. Learning model development has been driven by domain specifics, dataset complexities, and the presence or absence of human involvement. In this paper, we propose a robust learning paradigm by aggregating the aforementioned factors. Over the next few decades, we believe that these perspectives will lead to novel ideas and encourage more studies aimed at incorporating knowledge and establishing data-driven learning systems that involve both data quality considerations and human interactions.
Assessing Error Correlations in Remote Sensing-Based Estimates of Forest Attributes for Improved Composite Estimation
Authors: Ehlers Sarah , Saarela Svetlana , Lindgren Nils , Lindberg Eva , Nyström Mattias , Persson Henrik J. , Olsson Håkan , Ståhl Göran
Published: October 2017

Today, non-expensive remote sensing (RS) data from different sensors and platforms can be obtained at short intervals and be used for assessing several kinds of forest characteristics at the level of plots, stands and landscapes. Methods such as composite estimation and data assimilation can be used for combining the different sources of information to obtain up-to-date and precise estimates of the characteristics of interest. In composite estimation a standard procedure is to assign weights to the different individual estimates inversely proportional to their variance. However, in case the estimates are correlated, the correlations must be considered in assigning weights or otherwise a composite estimator may be inefficient and its variance be underestimated. In this study we assessed the correlation of plot level estimates of forest characteristics from different RS datasets, between assessments using the same type of sensor as well as across different sensors. The RS data evaluated were SPOT-5 multispectral data, 3D airborne laser scanning data, and TanDEM-X interferometric radar data. Studies were made for plot level mean diameter, mean height, and growing stock volume. All data were acquired from a test site dominated by coniferous forest in southern Sweden. We found that the correlation between plot level estimates based on the same type of RS data were positive and strong, whereas the correlations between estimates using different sources of RS data were not as strong, and weaker for mean height than for mean diameter and volume. The implications of such correlations in composite estimation are demonstrated and it is discussed how correlations may affect results from data assimilation procedures.
Ethology of the Freed Animal: Concept, Methods, Projects
Authors: Celentano Marco , Martinelli Dario
Published: October 2017

The present essay illustrates the methodological and theoretical premises of an emerging research area carrying out both ethological and (bio)ethical implications: the ethology of the freed animal (EFA). Unlike existing ethological fields, EFA focuses neither on non human (NH) animals in natural conditions of freedom in their own environment, nor on NH animals kept in conditions of “captivity”. Rather, EFA consists of a comparative study of NH animals that are released from a condition of more or less abusive captivity and instead relocated in an environment more appropriate to their species-specific and individual characteristics and inclinations. Ideal places for this study are contexts like “Animal sanctuaries” and parks/reserves provided with a camp or station for researchers, where a previously-captive NH animal can be reintroduced in his/her natural habitat. Even though EFA exists already, as a de facto practice of the specialized and/or volunteer personnel running sanctuaries and parks, the field still lacks a recognizable scholarly paradigm, and it is yet to be acknowledged at institutional/academic level. By consequence, one important aim for creating a field like this lies in the establishment of an active interaction between the two parties involved (researchers and sanctuaries/parks operators).
All-Polyamide Composite Coated-Fabric as a Replacement for Material of Construction of Conventional Textile Bioreactors
Authors: Jabbari Mostafa , Osadolor Osagie A. , Nair Ramkumar B. , Taherzadeh Mohammad J.
Published: October 2017

All-polyamide composite coated fabric (APCCF) materials were developed and used as the material of construction of textile bioreactors as a replacement of traditional costly steel-/concreate-based bioreactors. Then, APCCF-bioreactor was used to cultivate filamentous fungus Neurospora intermedia to produce ethanol and fungal biomass. The results showed similar performance of the fungus cultivated in stain-less steel bioreactors. Techno-economical analysis for a 5000-m3 APCCF bioreactor for fermentation facility would lead to a reduction of the annual production cost of the facility by $128,000,000 compared to similar stainless-steel processes. The comparative analyses (including mechanical and morphological analyses, density measurements and techno-economical analysis) revealed that the APCCF is a better candidate for material of construction of the textile bioreactor. The APCCF is a 100% recyclable single polymer composite which was prepared from textile production line waste.
A Study on Minimum Sigma Set SRUKF Based GPS/INS Tightly-Coupled System
Authors: Wang Maosong , He Xiaofeng , Wu Wenqi , Liu Zhenbo
Published: October 2017

In this paper, firstly, some questionable formulas and conceptual oversights of previous reduced sigma set unscented transformation (UT) methods are revised through theoretical analysis. Then the revised UT methods based Kalman filters are used in a GPS/INS tightly-coupled system. The Kalman filter flows are the kind of square-root, since the square-root unscented Kalman filters (SRUKFs) can guarantee the stability of the system. By using the reduced sigma set SRUKFs (which contain simplex sigma set square-root unscented Kalman filter (S-SRUKF), spherical simplex sigma set square-root unscented Kalman filter (SS-SRUKF) and minimum sigma set square-root unscented Kalman filter (M-SRUKF)), the computation cost is greatly saved compared with the standard SRUKF, while the accuracy of the GPS/INS tightly-coupled system still maintained. The structure of the GPS/INS tightly-coupled system is in the form of error state, and the time updates of the state and the state covariance of SRUKFs are directly estimated without using UT, thus the computational time is also greatly saved. The pseudo-satellite is introduced to aid the system when the observation information is deficient, for example, when the GPS signal is deficient in the maneuver environment. By using the pseudo-satellite, the optimal performance of the system is guaranteed. Experiment of unmanned aerial vehicle (UAV) showed that the pseudo-satellite aided mechanism worked well.
Room-Temperature H2 Gas Sensing Characterization of Graphene-Doped Porous Silicon via a Facile Solution Dropping Method
Authors: Eom Nu Si A , Cho Hong-Baek , Song Yoseb , Lee Woojin , Sekino Tohru , Choa Yong-Ho
Published: October 2017

In this study, a graphene-doped porous silicon (G-doped/p-Si) substrate for low ppm H2 gas detection by an inexpensive synthesis route was proposed as a potential noble graphene-based gas sensor material and to understand the sensing mechanism. The G-doped/p-Si gas sensor was synthesized by a simple capillary force-assisted solution dropping method on p-Si substrates, whose porosity was generated through an electrochemical etching process. G-doped/p-Si was fabricated with various graphene concentrations and exploited as a H2 sensor operated at room temperature. The sensing mechanism of the sensor with/without graphene decoration on p-Si was proposed to elucidate the synergetic gas sensing effect generated from the interface between the graphene and p-type silicon.
Data-Driven Model Based Charging Profile Prediction for Energy Storage Systems
Authors: Kandasamy Nandha Kumar , Tjandra Rudy
Published: October 2017

Energy storage systems (ESS) are penetrating into various sections of power system through different applications. ESS can be used either as a buffer for intermittent renewable energy sources or as a stand-alone distributed storage for load shifting. ESS use different types of storage devices such as lead-acid batteries, lithium ion batteries, flow batteries, and super-capacitors. Hybrid ESS consisting of few types of storage devices are also common in practice. Determining the load demand of such ESSs at various instances (charging profile) accurately is indispensable in most of the cases. Capacity loss is common phenomenon that occurs in all types of storage devices because of ageing. Capacity loss has to be accounted while determining the charging profile of storage devices for better accuracy. Data-driven modeling is an attractive approach for determining the load demand of ESS due to the availability of valuable data from smart grid technologies. In this paper, the application of different types of data-driven models to predict the current charging profile of the ESS based on previous charging profiles is examined. The proposed method can leverage on the existing data from smart grid and is a black box modeling approach.
The Cosmological Constant Problem and Quantum Spacetime Reference Frame
Authors: Luo Min-Jie
Published: October 2017

We generalize the idea of quantum clock time to quantum spacetime reference frame via physical realization of a reference system by quantum rulers and clocks. Omitting the internal degrees of freedom (such as spins) of the physical rulers and clocks, only considering their metric properties, the spacetime reference frame is described by a bosonic non-linear sigma model. We study the quantum behavior of the system under approximations, and obtain (1) a cosmological constant valued (2/π)ρc0 (ρc0 the critical density at near current epoch) which is very close to the observations; (2) an effective Einstein-Hilbert term in the effective action; (3) the ratio of variance to mean-squared of spacetime interval tends to a universal constant 2/π in the infrared region. This effect is testable by observing a linear dependence between the inherent quantum variance and mean-squared of the redshifts from cosmic distant spectral lines. The proportionality is expected to be the observed percentage of the dark energy. We also generalize the equivalence principle to be valid for all quantum phenomenon.
A Radar-Based Smart Sensor for Unobtrusive Elderly Monitoring in Ambient Assisted Living Applications
Authors: Diraco Giovanni , Leone Alessandro , Siciliano Pietro
Published: October 2017

Continuous in-home monitoring of older adults living alone aims to improve their quality of life and independence, by detecting early signs of illness and functional decline or emergency conditions. To meet requirements for technology acceptance by seniors (unobtrusiveness, non-intrusiveness, privacy-preservation), this study presents and discusses a new smart sensor system for the detection of abnormalities during daily activities, based on ultra-wideband radar providing rich, not privacy-sensitive, information useful for sensing both cardiorespiratory and body movements, regardless of ambient lighting conditions and physical obstructions (through-wall sensing). The radar sensing is a very promising technology, enabling the measurement of vital signs and body movements at a distance, and thus meeting both requirements of unobtrusiveness and accuracy. In particular, impulse-radio ultra-wideband radar has attracted considerable attention in recent years thanks to many properties that make it useful for assisted living purposes. The proposed sensing system, evaluated in meaningful assisted living scenarios by involving 30 participants, exhibited the ability to detect vital signs, to discriminate among dangerous situations and activities of daily living, and to accommodate individual physical characteristics and habits. The reported results show that vital signs can be detected also while carrying out daily activities or after a fall event (post-fall phase), with accuracy varying according to the level of movements, reaching up to 95% and 91% in detecting respiration and heart rates, respectively. Similarly, good results were achieved in fall detection by using the micro-motion signature and unsupervised learning, with sensitivity and specificity greater than 97% and 90%, respectively.
Normal Approximations of the Arithmetic of Mixed Fuzzy Numbers
Authors: Chen Yi-Fang , Tang Hui-Chin
Published: October 2017

In fuzzy group decision making problems and fuzzy shortest path problems, the addition and subtraction are the basic problems. For the mixed normal fuzzy numbers and trapezoidal fuzzy numbers, the addition and subtraction operations are approximated by the normal fuzzy numbers in this paper. The behaviors of approximated normal fuzzy numbers are the same as those of the normal distributions from the viewpoint of probability. An application of the addition and subtraction operations of mixed fuzzy numbers to the fuzzy sample mean is also proposed.
Three Dimensional ZnO Hierarchical Nanostructures: Solution Phase Synthesis and Applications
Authors: Wang Xiaoliang , Ahmad Mashkoor , Sun Hongyu
Published: October 2017

Zinc oxide (ZnO) nanostructures have been studied extensively in the past years due to the novel electronic, photonic, mechanical and electrochemical properties. Recently, more attention has been paid to assemble nanoscale building blocks into three dimensional (3D) complex hierarchical structures, which not only inherit the excellent properties of the single building blocks but also provide potential applications in the bottom-up fabrication of functional devices. This review article focuses on 3D ZnO hierarchical nanostructures, and summarizes major advances in the solution phase synthesis, applications in environment, and electrical/electrochemical devices. We present the principles and growth mechanisms of ZnO nanostructures via different solution methods, with an emphasis on rational control of the morphology and assembly. We then discuss the applications of 3D ZnO hierarchical nanostructures in photocatalysis, field emission, electrochemical sensor, and lithium ion batteries. Throughout the discussion, the relationship between the device performance and the microstructures of 3D ZnO hierarchical nanostructures will be highlighted. This review concludes with a personal perspective on the current challenges and future researches.
A General State-Space Formulation for Online Scheduling
Authors: Gupta Dhruv , Maravelias Christos T.
Published: October 2017

We present a generalized state-space model formulation particularly motivated by an online scheduling perspective. Through these proposed generalizations, we enable a natural way to handle routinely encountered disturbances and a rich set of corresponding counter-decisions. Thereby, greatly simplifying and extending the possible application of mathematical programming based online scheduling solutions to diverse application settings.
Social Media Influence and Intensity of Watching Television Drama on Achievement of Students
Authors: Himawan Ali Akbar , Basori Basori , Adi Sucipto Taufiq Lilo
Published: October 2017

The aims of this study are to get: (1) the influence of the social media use on achievement of students; (2) the influence of the watching television drama intensity on achievement of students grade X TKJ in SMK Batik 1 Surakarta; and (3) the influence both of social media use and the watching television drama intensity on achievement of students. The sample used was 78 from 100 student population based on Isaac and Michael table. This study was quantitative research using ex post facto method. The data were collected by questionnaire and documentation. Data analysis used single and multi-linear regression. The result showed that there was significance influence between the used of social media towards the achievement of the students, there was significance influence between the intensity of watching television drama towards the achievement of the students, there was significance influence between the social media use and the intensity of watching television drama towards the achievement of students. Out of the two independent variables, the use of social media is a variable that contributes more influence to student learning outcomes.
The Influences of Problem-Based Learning Model with Fishbone Diagram to Students's Critical Thinking Ability
Authors: Istikomah Istikomah , Basori Basori , Budiyanto Cucuk
Published: October 2017

Problem-based learning is characterized by the existence of a real problem as the context wherein students learn critical thinking skills, problem-solving, and knowledge acquisition. The concept of critical thinking gains popularity to help students obtain the ability to conduct fact analysis, support opinion with an argument, and problem-solving. The majority of Indonesian vocational school students, however, have difficulty in developing critical thinking skills and problem-solving. This research was purportedly designed to evaluate the differences of students' critical thinking ability in response to the application of various problem-based learning model namely Fishbone diagram, problem-based learning model, and expository learning model. A quasi-experimental design was applied to assess students' critical thinking. The findings indicate that there was a significant difference in students' critical thinking ability responding to the learning models. In summary, the research proposes the problem-based learning as an alternative learning model to improve student’s critical thinking ability.
The Development of a Competency Testing Systems: Adopting TAM to Explore User’s Acceptance
Authors: Saputra Ibrahim Wahyu , Budiyanto Cucuk Wawan , Hatta Puspanda
Published: October 2017

The main problems of learning evaluation using paper based-test are inefficient time and cost. Technology can be used as a system to evaluate the learning process. Using technology can save time and cost of implementing learning evaluations. The aims of this study are to create a software product that can be used to evaluate the learning process. This software product is designed to be used by the test organizer or test committee, the teachers and the students (test takers). This software product was developed using Waterfall Model with five stages of development; communication, planning, modeling, construction, and deployment. The testing was conducted by using Blackbox Method and TAM Theory by considering the aspect of usefulness and the aspect ease of use. The analysis was based on the flow of the current test system. The web-based platform enables ease of access for conducting work in various places. According to the result, the Developed Skills Competency Test System is accepted and can be used by the user as an evaluation system.
Development of Decision-making Support System to Determine the Feasibility of the Job Training Industry Using Simple Additive Weighting Method
Authors: Zubaeti Kaisah Riski , Budianto Aris , Maryono Dwi
Published: October 2017

The activities of the job training is an activity that must be implemented at Vocational Secondary School. The lack of utilization of technology on such activities in Vocational Secondary School,  so the data management of the job training become less effective and efficient. Therefore, it is necessary the information system for manage the data on the job training and produces the decision support of the decent industry of the job training as a result of the evaluation of the job training. This research has a goal to produce decision support system to determine the feasibility of the job training industry (SPK-KTP), measure the feasibility of the system, and produce a decision support using a Simple Additive Weighting (SAW) method. The information system can help the school to manage the administration on the job training, recap the daily journal, recap the reports in pursuit, and provide decision support the job training of decent industry used in the next period. SPK-KTP uses SAW method to produce decision support the job training of decent industry. SPK-KTP is the web-based information system which it is developed using the programming language PHP (Hypertext Preprocessor). This information system uses The Waterfall Model as its system development method. The steps of The Waterfall Model consists of Analysis, Design, Code, and Test. SPK-KTP has done testing to an expert of the information system with value 90,7%, an expert of the substance of the job training with value  91,6%, supervising teachers with value 83,3%, and learners with value 90,6%. Based on the result, so SPK-KTP is very decent to use.

 
Community Health Workers in the United States: Challenges in Identifying, Surveying, and Supporting the Workforce
Authors: Sabo Samantha , Allen Caitlin G. , Sutkowi Katherine , Wennerstrom Ashley
Published: October 2017

Community health workers (CHWs) are members of a growing profession in the United States. Studying this dynamic labor force is challenging, in part because its members have more than 100 different job titles.

The demand for timely, accurate information about CHWs is increasing as the profession gains recognition for its ability to improve health outcomes and reduce costs. Although numerous surveys of CHWs have been conducted, the field lacks well-delineated methods for gaining access to this hard-to-identify workforce.

We outline methods for surveying CHWs and promising approaches to engage the workforce and other stakeholders in conducting local, state, and national studies. We also highlight successful strategies to overcome challenges in CHW surveys and future directions for surveying the field.
Analisa Pengaruh Variasi Diameter Pipa Tekan PVC Pada Pompa Rotari Untuk Kecepatan Gaya Dorong Air
Authors: Pradhana Rega Yuan , Widodo Edi
Published: October 2017

This research is aimed to analyze the effects of the PVC rotary pipe’s diameter to the velocity of the viscous forces. The diameter of the PVC rotary pipe used in this research are (1 ½”, 1”, ¾”, ½” inch). The procedure of this reasearch is begin with designing the pipe’s installation, then continued with the pipe installation, then continued with data recording. After the data is collected from the experiment, analyzing the data is needed. Also, calculate if there’s any effects of the velocity of the viscous forces due to the changing of the dependent variables (which is the diameter of the PVC rotary pipe). In the process of the fluid conduction inside the pipe, head losses are usually happened. The manual calculation needed to complete the research are, surface area calculation, fluid velocity calculation, reynold number calculation and coeff. Losses calculation. After all of the calculation are collected, the result of the research will be obtained. After that, discussion and conclusion can be produced.
Estimating Total Nitrogen and Phosphorus Losses in a Data‐Poor Ethiopian Catchment
Authors: Zinabu Eskinder , van der Kwast Johannes , Kelderman Peter , Irvine Kenneth
Published: October 2017

Selecting a suitable model for a water quality study depends on the objectives, the characteristics of the study area, and the availability, appropriateness, and quality of data. In areas where in‐stream chemical and hydrological data are limited but where estimates of nutrient loads are needed to guide management, it is necessary to apply more generalized models that make few assumptions about underlying processes. This paper presents the selection and application of a model to estimate total nitrogen (TN) and total phosphorus (TP) loads in two semiarid and adjacent catchments exposed to pollution risk in north‐central Ethiopia. Using specific criteria to assess model suitability resulted in the use of the Pollution Load (PLOAD) model. The model relies on estimates of nutrient loads from point sources such as industries and export coefficients of land use, and it is calibrated using measured TN and TP loads from the catchments. The performance of the calibrated PLOAD model was increased, reducing the sum of errors by 89 and 5% for the TN and TP loads, respectively. The results were validated using independent field data. Next, two scenarios were evaluated: (i) use of riparian buffer strips, and (ii) enhanced treatment of industrial effluents. The model estimated that combined use of the two scenarios could reduce TN and TP loads by nearly 50%. Our modeling is particularly useful for initial characterization of nutrient pollution in catchments. With careful calibration and validation, PLOAD model can serve an important role in planning industrial and agricultural development in data‐poor areas.

Core Ideas

Export coefficient method is suitable to estimate nutrient loads from data‐poor areas.

The PLOAD model is more applicable for small catchments than large catchments.

PLOAD modeling helps identify tradeoff between baseline and new industrial development strategy.

Buffer strips and enhancing factory effluent treatment reduce substantial nutrient loads.
Impact of Straw Return on Soil Carbon Indices, Enzyme Activity, and Grain Production
Authors: Li Shuo , Chen Juan , Shi Jianglan , Tian Xiaohong , Li Xiushuang , Li Youbing , Zhao Huili
Published: October 2017

Core Ideas

Straw return could increase SOC stock and improve soil enzyme activities.

Both wheat and maize straw returned enlarged SOC stock, soil quality, and crop yield.

The single return of crop straw was better for improving the economic sustainability

Straw return is a promising method for managing soil organic carbon (SOC) in agricultural soils and thus may promote sustainable land use. However, the optimal straw‐return strategy for economically sustainable grain production in intensive winter wheat (Triticum aestivum L.)–summer maize (Zea mays L.) cropping systems remains uncertain. A 4‐yr field experiment was conducted in the central North China Plain to determine the effects of straw return on SOC stock and lability, soil enzyme activity, and grain yield, and to further evaluate the sustainability of crop production in intensive wheat–maize double‐cropping systems. Four treatments were tested: no straw return (NR), return of wheat straw (WR), return of maize straw (MR), and return of both wheat and maize straw (WR+MR). Compared with the initial value, SOC stocks significantly increased by 2.8, 5.4, and 13.1% in WR, MR, and WR+MR, respectively, and significantly decreased by 2.9% in NR. Stocks of KMnO4–oxidizable C and microbial biomass C; activities of soil invertase, protease, and dehydrogenase; and the C management index were significantly higher with than without straw return and followed the order NR < WR < MR < WR+MR. Yields of wheat and maize were highest in WR+MR, but economic sustainability was higher in WR and MR relative to NR and WR+MR. Our results indicate that return of either wheat or maize straw is sufficient to maintain SOC levels and may be the optimal strategy for economically sustainable grain production in the central North China Plain.
Assessment of Soil Disturbance Caused by Forest Operations by Means of Portable Laser Scanner and Soil Physical Parameters
Authors: Giannetti Francesca , Chirici Gherardo , Travaglini Davide , Bottalico Francesca , Marchi Enrico , Cambi Martina
Published: October 2017

Core Ideas

Forest operations may cause severe soil disturbances.

Soil impacts are usually assessed by time consuming methods.

Our study investigated the use of a portable laser scanner to assess forest soil disturbance.

Forest operations can cause compaction and rutting, resulting in soil degradation processes. Soil damage is usually assessed through costly and time‐consuming manual field measurements. The aim of this study is to investigate the impact of logging operations on soil using traditional ground surveys integrated with laser scanning data acquired by a terrestrial portable laser scanner (PLS). This approach provides an alternative to soil rut manual measurements. Two skid trails, that differed by the numbers of machine passes and slope were sampled. Data collection was performed before and after forest operations. The specific objectives were to: (i) assess soil compaction, and (ii) determine rutting by way of multi‐temporal high‐resolution digital terrain models (DTM) generated by PLS data. This is the first study to assess changes in soil volume via the PLS. Significant logging impacts were detected using both investigation methods (i.e., physical parameters from traditional surveys and rutting from multi‐temporal spatial analysis based on DTM). The PLS method provides a very high sampling density of the soil surface, permitting detailed spatial analysis of terrain changes. Moreover, the pre‐processing cost for PLS‐generated DTM is low in comparison to the time needed for traditional survey based on manual field measurements. PLS may be a useful instrument for soil sampling in forest monitoring applications.
Government subsidy, strategic profitability and its impact on financial performance: empirical evidence from Indonesia
Authors: Assagaf Aminullah , Mohd Yusoff Yusliza , Hassan Rohail
Published: October 2017

This paper examines the moderating impact of capital structure on the relationship between government subsidy, strategic profitability and financial strength of state-owned enterprises in Indonesia. A purposive sampling is used and data were collected from seven state-owned enterprises over the period of 2005 to 2016. The empirical evidence provided by this paper indicates that government subsidy has a significant negative impact on the financial strength, which means that the state-owned enterprises are difficult to manage the company independently if the government continues to provide subsidies or additional capital. This study also found that strategic profitability has a significant positive impact on the financial strength, which means there are opportunities for management to perform profitability practice of earnings management as strategic to enhance the level of financial strength of the company. However, capital structure is strengthening the relations of ‘government subsidy’ and ‘real earnings management’ with the financial strength. So far, it is still little known how ‘capital structure’ affects the relationship between government subsidy and financial strength, specifically in the case of state-owned enterprises.
Az oktatási feladatokról és szerepekről való gondolkodás a hazai doktoranduszok körében
Authors: Kovács Zsuzsa , Kereszty Orsolya
Published: October 2017

A hazai felsőoktatásban a doktori képzés erőteljesen a kutatói szakmai identitás kialakításának a terepe, kevésbé fókuszál az oktatói feladatokra való szakszerű felkészítésre, annak ellenére, hogy a doktoranduszok képezik az oktatói utánpótlást a felsőoktatásban. A tanulmány vázolja egy, a hazai egyetemeken tanuló doktoranduszok körében végzett vizsgálat eredményeit, fókuszálva az oktatásról kialakuló diskurzusra, az oktatói feladatokról, szerepekről formálódó véleményekre. Az eredmények alapján arra következtethetünk, hogy a rendszer a professzionális tudósok és amatőr oktatók szocializációját támogatja, és bár vannak törekvések rá, de összességében nem jellemző az oktatási hatékonyságot szakértői tudás meglétéhez kötni, míg a nemzetközi tendenciák erőteljesen a tudományos igényű, professzionális megközelítést emelik ki, mint a tanítás és tanulás minőségének egyik legfontosabb feltételét.
A tudásmenedzsment a munkahelyi tanulásban
Authors: Stéber Andrea , Kereszty Orsolya
Published: October 2017

Tanulmányunk célja, hogy áttekintést adjunk a tudásmenedzsment szerepéről, alkalmazási lehetőségeiről a munkahelyi tanulás támogatásában. Röviden áttekintjük a munkahelyi tanulás és a tudásmenedzsment elméleteit és azok összefüggéseit. A tudás, s annak fejlesztése, kihasználása a szervezetek számára a versenyképes működés alapfeltétele. A tudásmenedzsment alkalmazásának célja a szervezet tudásmegosztó képességének a módszeres és szervezett fejlesztése a teljesítmény növelése érdekében (KPMG, 2003). A tanulmányban a tudásmenedzsment alkalmazását a munkahelyi tanulás lehetséges támogatási eszközeként vizsgáljuk. Különös figyelmet szentelünk a kollaboratív médiaeszközök használatának a tudásmenedzsmentben és a munkahelyi tanulásban, mivel a távmunka, a rugalmas munkaidő terjedése és az IKT eszközök jelenléte a munka és a szabadidő világában ezt szükségszerűvé teszi. A tanulmány zárásaként rávilágítunk arra, hogy napjainkban a munkahelyi tanulásról való gondolkodást szükségszerű új megközelítésbe helyezni, mert a „bárhol bármikor” értelmezett munkavégzésben kulcsfontosságú lehet, hogy a szervezet hogyan kezeli tudását, miként zajlik a kollégák közötti tudásmegosztás és a munkavállalóknak milyen lehetőségeik vannak a tudásuk fejlesztésére.
A nyelvtanár szerepe vállalati környezetben angol nyelvet tanuló felnőttek motivációjában, három kutatás tükrében
Authors: Kálmán Csaba
Published: October 2017

Számos tanulmány megerősíti, hogy a tanárok jelentős szerepet játszanak a nyelvtanulók motivációjában (lásd például: Mezei és Csizér, 2005; Radel, Sarazzin, Legrain és Wild, 2010; Dörnyei és Ushioda, 2011). Ennek ellenére nagyon kevés kutatást végeztek felnőtt nyelvtanulók részvételével nem angol anyanyelvi (EFL) környezetben. Néhány kivétel ez alól Shoaib és Dörnyei (2005), Szaszkó (2007) és Murray (2011) tanulmánya. Ezek közül azonban egyik sem foglakozik a tanár felnőtt nyelvtanulókra kifejtett motiváló hatásával vállalati környezetben. Ez a dolgozat ezt a hiányt próbálja pótolni azáltal, hogy bemutatja három, a közelmúltban készült vizsgálat eredményeit. (1) Egy interjútanulmányt (N=17), amely azt vizsgálja, hogy a rendszerváltástól napjainkig hogyan változott a vállalati környezetben angol nyelvet tanuló felnőttek motivációs beállítódása, (2) egy kvantitatív kérdőíves tanulmányt (N=127), amely felnőtt nyelvtanulók attribúcióit mérte, (3) egy validációs tanulmányt (N=5), amely kutatási eszköz validálását mutatta be. Mindhárom kutatás eredményei megerősítették a tanárok motivációra kifejtett hatásának jelentőségét, különösen a személyre szabott figyelem motiváló hatását.
Polimorfismos del gen ob en bovinos de raza holstein en la Comarca Lagunera, México
Authors: Mendoza-Retana Sarai Shesareli , Gallegos-Robles Miguel Ángel , González-Salas Uriel , García-Hernández José Luis , Fortis-Hernández Manuel , Vázquez-Vázquez Cirilo , Trejo-Escareño Hector Idilio
Published: October 2017

La Comarca Lagunera es la cuenca lechera más importante de México. En la actualidad se están utilizando diversas técnicas que permiten evaluar genéticamente el animal a una edad temprana, permitiendo seleccionar futuros reproductores con características deseables. Entre los genes relacionados con la producción de leche, se encuentran el gen Ob también llamado gen Leptina el cual actúa sobre el sistema nervioso central y tejidos periféricos jugando un papel muy importante en la modulación regulación del apetito, ganancia de peso vivo, incremento del metabolismo energético y el anabolismo muscular. Este trabajo se realizó para determinar el polimorfismo de longitud del fragmento de restricción ACI I de gen leptina en el exón 2 y correlacionarlo con los parámetros de producción y calidad de leche. Se recolectaron 100 muestra de sangre de vacas en producción del establo “Lácteos Florida” de Francisco I. Madero municipio de Coahuila, México con tres estatus de producción: altas, medias y bajas La extracción de ADN se realizó por el método modificado de Salting-Out. Se realizó PCR del gen leptina originando un  fragmento de 272 bp de longitud y se realizó PCR-RFLP con la enzima de restricción ACI I y secuenciación, correlacionando los genotipos TT, CT Y CC con tres estatus de producción de leche: altas, medias, bajas. El análisis estadístico indicó que las vacas portadoras del genotipo homocigoto (TT) tienen un efecto significativo (P<0.01) con respecto a las características de producción y calidad de leche ya que tuvieron un mayor consumo de alimento, ganancia de peso, además de una elevada producción de leche en comparación a los genotipos heterocigoto (CT) y homocigoto (CC). Los resultados obtenidos muestran que la identificación molecular de polimorfismos del gen Ob puede usarse como herramienta de selección genética en bovinos de raza Holstein.
Crypto Archeology: Unearthing Design Methodologies of DES S-Boxes
Authors: Dey Sankhanil , Ghosh Ranjan
Published: October 2017

US defense sponsored the DES program in 1971 and released it on 1977. It remained as a well-known and well-accepted de-facto standard of block ciphers until 1998. Thirty-two 4-bit DES S-Boxes are grouped in eight each having four and are put in public domain without any mention of their design methodology. Due to this discovery of substitution Boxes, S-Boxes, 4-bit, 8-bit or 32-bit, find a permanent seat in all future block ciphers. In this paper, a brief study on Crypto relevant properties of 4-bit Boolean Functions as well as 4-bit S-Boxes has been elaborated. The design Methodology of 32 4-bit DES S-Boxes have been of keen interest of this paper. The methodology of such 4-bit DES S-boxes that remained unturned due to the interference of NIST, have also been elaborated in this paper.
Diabetes Risk Assessment in Latinas: Effectiveness of a Brief Diabetes Risk Questionnaire for Detecting Prediabetes in a Community-Based Sample
Authors: Scanlan Adam B. , Maia Catarina M. , Perez Alberly , Homko Carol J. , O’Brien Matthew J.
Published: October 2017

Objective.

Numerous validated questionnaires use self-reported data to quantify individuals’ risk of having diabetes or developing it in the future. Evaluations of these tools have primarily used nationally representative data, limiting their application in clinical and community settings. This analysis tested the effectiveness of the American Diabetes Association (ADA) risk questionnaire for identifying prediabetes in a community-based sample of Latinas.

Methods.

Data were collected using the ADA risk questionnaire and assessing A1C. Among 204 participants without diabetes, we examined the association between individual characteristics and glycemic status. We then calculated the performance characteristics (sensitivity, specificity, positive predictive value [PPV], and negative predictive value [NPV]) of the ADA risk questionnaire for detecting prediabetes, using A1C results as the gold standard to define the outcome.

Results.

All participants were women of self-reported Hispanic/Latino ethnicity. Their mean ADA risk score was 5.6 ± 1.6. Latinas who had prediabetes were older, with significantly higher rates of hypertension and a higher ADA risk score than those without prediabetes. At a risk score ≥5—the threshold for high risk set by the ADA—the questionnaire had the following test performance characteristics: sensitivity 77.8%, specificity 41.7%, PPV 76.2%, and NPV 43.9%.

Conclusion.

The ADA risk questionnaire demonstrates reasonable performance for identifying prediabetes in a community-based sample of Latinas. Our data may guide other groups’ use of this tool in the same target population. Future research should examine the effectiveness of this questionnaire for recruiting diverse populations into diabetes prevention programs. In addition, unique diabetes risk assessment tools for specific target populations are needed and may outperform questionnaires developed using nationally representative data.
THE THEORY OF J. M. KEYNES TO CLARIFY THE PUBLIC-PRIVATE PARTNERSHIP ESSENCE AND PARTICULARS
Authors: Suriak Alla , Skalik Mirosława , Hameni Blaise
Published: October 2017

The public-private partnership nature and its particulars have been studied and clarified herein taking into consideration the theory of J. M. Keynes, in particular, when reffering to the private entrepreneur’s behavoir as to the employment and investment activities to create the effective demand and economic development
MODERN TOOLS FOR EVALUATING OF THE COMPANY COMPETITIVENESS RESOURCE BASED ADVANTAGES THEORY
Authors: Radko Viktoriia , Matsyura Svitlana , Nikolaichuk Olga , Viskers Evalds
Published: October 2017

The modern tools for evaluating the competitiveness of the company based on the sources of sustainable competitive advantages have been grounded. If will allow implementing an integrated model of the assessment of the enterprise competitiveness at the operational, tactical and strategic level
CONTINUOUS AUDITING AS AN ELEMENT OF EFFECTIVE CORPORATE GOVERNANCE
Authors: Dmitrenko Maksim , Matsegora Andrey
Published: October 2017

The article deals with the features of the control methodology of continuous audit, its main principles, the advantages of creating an effective system of continuous audit and risk management of large companies
O campo do patrimônio cultural da cidade de Joinville (2013-2016): Agentes, Limites e Perfil Diagnóstico
Authors: Kalb Christiane Heloisa , Flores Maria Bernardete Ramos
Published: October 2017

Vários discursos e narrativas foram construídos sobre o passado da cidade de Joinville nos mais de cinquenta anos de agenda patrimonial. Para este estudo realizamos um recorte temporal entre os anos de 2013 a 2016 onde analisaremos como vem se reconfigurando o campo patrimonial da cidade de Joinville. Nessa análise temos o intuito de averiguar como o campo do patrimônio vem/vinha se estruturando nessa última gestão (2013/2016) e para tanto, trazemos alguns dados numéricos para fins de comparação entre as fases das políticas públicas de preservação do patrimônio joinvillense. Esses dados foram obtidos a partir da pesquisa de Tese de Doutoramento realizada junto ao Programa Interdisciplinar em Ciências Humanas, da UFSC. A tese teve como tema principal as políticas públicas de preservação do patrimônio cultural da cidade de Joinville, tomando como um caso paradigmático a patrimonialização e a judicialização do Cine Palácio. Por ora, o que se conclui é que o reconhecimento dos mais diversos discursos que engendram o que é patrimônio na cidade hoje é uma realidade a pouco tempo enfrentada. Essa mudança de paradigma vem sendo sentida há pouco mais de 10 anos. Esse debate vem abrindo brechas para outros olhares sobre o passado da cidade e também novos diálogos que nem sempre foram considerados em sua totalidade.
Estudos da paisagem e elaboração de roteiros turísticos
Authors: Moreira Marcina Amália Nunes
Published: October 2017

Esta comunicação tem como objetivo propor a leitura da paisagem, tomando-se por base seu caráter lingüístico, com vistas a uma possível versão metodológica de apoio à elaboração de roteiros turísticos. A paisagem representa uma categoria de análise da Geografia. Contudo, inexiste uma ciência que contemple, atualmente, o estudo da paisagem em sua totalidade devido à complexidade de suas abordagens. O artigo fundamenta-se, portanto, na interpretação da paisagem, possibilitando a elaboração de roteiros que envolvam não somente o olhar, mas os demais sentidos humanos, como uma forma de interação e adequação à política pública de turismo em âmbito nacional.
Pensar para além das etiquetas: alguma recepção do romance de 30 brasileiro
Authors: Borges João Felipe Barbosa
Published: October 2017

Parece consenso, nos manuais e livros didáticos de Literatura Brasileira, apontar o romance de 30 como um movimento de retorno ao Realismo oitocentista, não raro, reduzido a dois polos estanques: de um lado, as obras de realismo social; de outro, as obras de realismo psicológico. Dois questionamentos, entretanto, se interpõem: (i) uma tal redução de um período tão fecundo como a década de 30 seria viável, sem que se tenha perdas significativas de análise e crítica das obras produzidas? (ii) face a este neorrealismo, até que ponto os romancistas de 30 foram, de fato, modernistas, e até que ponto se fixaram nas sombras de um realismo do passado? É em torno destas questões que, mediante a análise dos romances O Quinze, de Rachel de Queiroz, Menino de Engenho, de José Lins do Rego, e Amanuense Belmiro, de Cyro dos Anjos, este artigo se pautará.
Instrumentación de Actividades en Rutina Clínica de Neurorehabilitación Funcional de Extremidad Superior
Authors: Amaya Hurtado Darío , Huerta Urrea Gamaliel Guillermo , Sorzano Barrote Any Charlyn , Fuentes Muñoz Hermes Darío , Eraso Rosas Luisa Fernanda
Published: October 2017

En este artículo se describe detalladamente el proceso de captura de una actividad de neurorehabilitación en miembros superiores dispuesta en rutina clínica, utilizando dispositivos que permiten extraer variables de interés clínico, dentro de las cuales se encuentra el tiempo, la movilidad y ángulos. Estas variables se almacenarán cuantitativamente, de manera que sea posible tener un seguimiento continuo y exhaustivo sobre la rehabilitación del paciente, y así tener verosimilitud de cumplimiento en estas rutinas.
Degree Models in Biomedical Engineering
Authors: Avendaño Cervantes Guillermo , Rienzo Renato Antonio
Published: October 2017

In this paper, the authors have carried out a systematic study and review of a set of researches and publications, regarding the theme of how to improve training programs in biomedical engineering, and make a contribution to the specialization in the area of clinic engineering.