bluuebunny/crossref_metadata_2025 huggingface dataset:
Treatment Patterns of Patients with Schizophrenia Based on the Data from 44,836 Outpatients in Russia
Authors: Kostev Karel , Osina Galina , Konrad Marcel
Published: December 2019

Aim:

The goal of the present study was to estimate the treatment patterns in outpatients with schizophrenia in Russia.

Methods:

A total of 44,836 outpatients with schizophrenia treated by 812 psychiatrists in 2018 were selected in the LRx database in Russia. We descriptively analyzed the proportions of patients treated with different therapy classes and drugs.

Results:

Typical antipsychotics (58.2%) were the therapies with the highest patient proportion, followed by anti-Parkinson drugs (38.3%) and antidepressants (30.6%). The most frequent anti-Parkinson drug was trihexyphenidyl; the most frequent antidepressant was amitriptyline.

Conclusions:

The findings of this study imply that the proportion of older drugs is higher in schizophrenia therapy in Russia than reported based on samples in Europe and the U.S.
Identification of two novel single nucleotide polymorphism sites in the Myostatin (MSTN) gene and their association with carcass traits in meat-type rabbits (Oryctolagus cuniculus)
Authors: Yang L. Q. , Zhang K. , Wu Q. Y. , Li J. , Lai S. J. , Song T. Z. , Zhang M.
Published: December 2019

Two unknown single nucleotide polymorphism (SNP) sites in exons 1 (c.194C>T) and 2 (c.445T>A) of meat-type rabbit MSTN gene were identified in the study. Our objective was to analyse the population genetics structure of the two novel SNP sites in 230 individuals from six breeds and their associations with carcass traits of rabbits. We found that live body weight (BW), cold carcass weight (CCW), reference carcass weight (RCW), CCW percentage (PCCW) and RCW percentage (PRCW) of the rabbits with the genotype CC at the c.194C>T of exon 1 or AA at the c.445T>A of exon 2 were significantly higher than those with other genotypes. Diplotype significantly affected BW, RCW, CCW, PRCW (P<0.01) and PCCW and PCM (P<0.05). CC/AA was the advantageous diplotype for BW, RCW, CCW and PCM, and TT/AA was the advantageous diplotype for PCCW and PRCW. In contrast, TT/TT was the negative diplotype for BW, CCW, RCW, PCCW and PRCW, and TT/AA was the negative diplotype for PCM. The results suggest that the two new mutations of MSTN gene significantly affected BW, CCW, RCW, PCCW and PRCW of rabbits, and MSTN may be an important candidate gene of carcass traits in meat-type rabbits.
Megaminería y el derecho humano al agua en México
Authors: Guzmán López Federico , Torres Carral Guillermo , Gómez González Gerardo
Published: December 2019

Este artículo estudia la relación entre megaminería y el derecho humano al agua en México, a partir de su papel en el desarrollo nacional. Desde la ecología política y la economía ecológica resulta pertinente investigar el fenómeno de la mercantilización del agua a favor de la industria extractiva y sus repercusiones en la vida humana. La pregunta es ¿Cómo se origina y de qué forma se manifiesta el proceso de atención al derecho humano al agua ante la presencia de megaproyectos mineros? Se argumenta que, en México, durante el modelo de desarrollo neoliberal, se ha dado preferencia al abastecimiento hídrico para megaproyectos extractivos como la megaminería, lo que ha generado graves afectaciones al ecosistema para garantizar el derecho humano al agua. Los resultados preliminares señalan que la industria minera en México se ha convertido en un espacio primordial de valorización del capital que de manera gradual acapara las fuentes de agua superficial y subterránea, mientras que la política de Estado ha contribuido a vulnerar el derecho humano al agua de uno de cada diez mexicanos.
TOPOPHILIA-EXPOSURE CENTRAL SPACE CONCEPT MODEL
Authors: Abante A. M. R. , Abante C. G. R.
Published: December 2019

Abstract. This study proposes how a hexagon object (rather than a perfect circle) is a better representation of a data bin to visualize weighted spatial information, in analysing location (space center), and sorted local knowledge on ‘topophilia-exposure’. This approach which depicts the topographic features sorted in a tessellated bin, correlated with the origin (space center), and geographic knowledge on love of a place (tessellated space), was sought to understand the relationships of ‘topo’(topography), ‘philia’ (love of), and exposure data, sorted in a hexagonal lattice shaped cell or bin as spatial objects, where each hexagon has an area of 100 hectares (tessellated bin mapping unit) at a 1 kilometer continuous interval between centroids (central space of hexagon). The ‘topophilia-exposure’ central space concept model is designed to look at the ‘Phila’ factors influencing selected exposed residents situated in spaces at risk. This paper shows the effect of ‘Philia’ elements in the exposed sample Barangays (villages) in Daraga, and Guinobatan towns, Albay, Philippines. These factors dissuade residents from permanently relocating to safer areas, despite the obvious risks involved with staying. Undesired development and sprawling in vulnerable landscapes and danger zones make reducing disaster risk difficult to accomplish; and relocation is often the required option for some areas. Undoubtedly, the factors of Topophilia complicate even the most logical and scientific options for disaster risk reduction and mitigation. This paper finally concludes that the topophilia-exposure model is a model that reflects the phenomena of disaster risk, Exposure complicated by the “love of land” will prevail, and may increase; surely causing complexities in Disaster Risk Reduction and Management.
HYDROPOWER DAM SITE SELECTION AND VISUALIZATION USING GIS AND RS TECHNIQUES: A CASE OF MARINDUQUE, PHILIPPINES
Authors: Fesalbon R. M. A. , Blanco A. C.
Published: December 2019

Abstract. The energy supply of the Philippines is dwindling considering rapid population growth, thus the need to maximize the advantages of harnessing renewable energy (RE) and optimizing its utilization in the grid. One of the RE sources that is considered practical due to its availability is running water, thus the development of hydropower. The use of remote sensing (RS) datasets and geographic information system (GIS) techniques are useful for pre-feasibility studies of hydropower development. This study utilizes Interferometric Synthetic Aperture Radar (IFSAR) – derived DEM, GIS-based hydrology and terrain characterization tools to identify natural reservoirs, and spatial analysis identify site for possible dam development. The methodology consists of two processes: valley determination, a component of landform classification, and flow accumulation. Different valley determination algorithms are included in the comparison analysis such as Multi-Resolution Valley Bottom Flatness (MRVBF), Topographic Position Index (TPI), Valley and Ridge Detection (VRD) and Geomorphons, with the latter best describing the valleys within the Marinduque island. The identified valleys are intersected with sites having the most suitable elevation, slope and flow accumulation. The results of the study are different indicative sites for hydropower development, the volumetric capacity for which are generated given design specifications (e.g. different dam heights). Furthermore, upon computing the volume of water that the reservoir can contain, the reservoir design is represented as three-dimensional features over the terrain to visualize the dam development.
THE RICE PLANTING WINDOW IN THE PHILIPPINES: AN ANALYSIS USING MULTI-TEMPORAL SAR IMAGERY
Authors: Gutierrez M. A. , Paguirigan N. M. , Raviz J. , Mabalay M. R. , Alosnos E. , Villano L. , Asilo S. , Arocena Jr. A. , Maloom J. , Laborte A.
Published: December 2019

Abstract. Knowing where and when rice is grown is essential for planning and decision-making in relation to food security, as well as in research wherein crop area and calendar are important inputs in crop production simulations, assessment of biotic and abiotic stresses, and analysis of the effect of climate change on crop production, among others. Remote sensing allows for efficient mapping and characterization of rice areas. In this study, we derived the rice planting window in all rice growing regions in the Philippines from 2016 to 2018 using multi-temporal Synthetic Aperture Radar (SAR), specifically TerraSAR-X and Sentinel-1. Using a rule-based method, rice area and Start of Season (SoS) were mapped based on the unique backscatter behaviour of rice corresponding to the initial deliberate agronomic flooding followed by rapid biomass increase. We defined the planting window per year and semester as the 15th and 85th percentile and the peak of planting as the dominant planting date. The accuracy of the rice map was 93% and the SoS was strongly correlated with the actual planting dates reported by farmers (R2 = 0.71) based on 482 ground observations in the Philippines in 2018 Semester 1. From this analysis, the planting window in the Philippines for the Semester 2 (wet season) is April-August (peak in June-July), and for Semester 1 (dry season) is September-February (peak in November-December) with large differences across regions. In majority of the regions, the planting window spans more than 100 days, which can have implications on incidence of pests and diseases.
USING OPENLY SOURCED 3D GEOGRAPHIC INFORMATION SYSTEMS (GIS) IN DETERMINING THE PHOTOVOLTAIC POTENTIAL OF QUEZON CITY HALL IN TERMS OF RECEIVED DIRECT SOLAR RADIATION
Authors: Lagahit M. L. R. , Blanco A. C.
Published: December 2019

Abstract. For the past few years the United Nations have been standing strong in advocating the 17 sustainable development goals. One of those goals focuses on affordable and clean energy, which includes renewable energy. This study focuses on the application of geomatics on renewable energy, more specifically solar energy. The research aims to determine the photovoltaic potential of Quezon City Hall in the Philippines by calculating the amount of direct solar radiation it receives through a process that uses only openly sourced 3D GIS (Geographic Information Systems). The methodology mainly consists of (1) generating a building model composed of points that contains heights derived from a LiDAR (Light Detection and Ranging) based NDSM (Normalized Digital Surface Model) through the combined use of Python and QGIS, (2) determining the intersections between the building model and the sun’s light rays, incorporating shadow factors and integrating solar irradiation values using Python, and (3) visualizing and gridding for analysis through the combined use of Blender, QGIS and a Spreadsheet software. Results have shown that Quezon City Hall has good photovoltaic potential since: solar irradiation values in 2017 has shown that the city hall receives 800 W/m2 to 1000 W/m2 on average from 08:00 to 16:00, and all faces of the building receive solar radiation. This means that all sides of the building can be proper candidates for solar panel or for Building Integrated Photovoltaics (BIPV) installations.
ASSESSMENT OF SOLAR PV POWER POTENTIAL IN THE ASIA PACIFIC REGION WITH REMOTE SENSING CONSIDERING THE EFFECTS OF HIGH TEMPERATURE, DUST AND SNOW
Authors: Principe J. A. , Takeuchi W.
Published: December 2019

Abstract. The last half century has witnessed the increasing trend of renewable energy utilization with solar photovoltaic (PV) systems as one of the most popular option. Solar PV continues to supplement the main grid in powering both commercial establishments (mainly for reduced electricity expense) as well as residential houses in isolated areas (for basic energy requirement such as for lighting purposes). The objective of this study is to assess the available solar PV power (PPV) potential considering the effects of high temperature, dust and snow in the Asia Pacific region. The PPV potential was estimated considering the effects of the said meteorological parameters using several satellite data including shortwave radiation from Advanced Himawari Imager 8 (AHI8), MOD04 aerosol data from Moderate Resolution Imaging Spectroradiometer (MODIS), precipitation rate from Global Satellite Mapping of Precipitation (GSMaP), air temperature from NCEP/DOE AMIP-II Reanalysis-2 data, and snow water equivalent (SWE) from Microwave Scanning Radiometer for the Earth Observing System (AMSR-E). The model is validated by comparing its outputs with the measured PV power from two solar PV installations in Bangkok, Thailand and Perth, Australia. Results show that maximum PPV is estimated at 2.5 GW (cell efficiency of 17.47%) for the region with the maximum decrease in PPV estimated to be about < 2%, 22% and 100% due to high temperature (temperature coefficient of power = 0.47%/K), dust and snow, respectively. Moreover, areas in India and Northern China were observed to experience the effects of both dust and temperature during March-April-May (MAM) season. Meanwhile, countries located in the higher latitudes were severely affected by snow while Australia by high temperature during Dec-Jan-Feb (DJF) season. The model has a mean percentage prediction error (PPE) range of 5% to18% and 7% to 23% in seasonal and monthly estimations, respectively. Outputs from this study can be used by stakeholders of solar PV in planning for small-scale or large-scale solar PV projects in the solar rich region of Asia Pacific.
SEPARABILITY OF TRANSPLANTED AND DIRECT SEEDED RICE USING MULTI-TEMPORAL SENTINEL-1A DATA
Authors: Villano L. , Raviz J. , Paguirigan N. M. , Gutierrez M. A. , Mabalay M. R. , Laborte A.
Published: December 2019

Abstract. Occurrence of pests and diseases are influenced by several factors including weather, landscape and field-level factors such as crop management practices including crop establishment method. In this paper, we adopted and applied a method using Sentinel-1A (S-1A) Synthetic Aperture Radar (SAR) intensity to discriminate between rice fields that are transplanted and direct seeded to come up with a robust method for automated classification of crop establishment method. Multi-temporal S-1A C-band dual polarization images at 20m resolution covering the wet cropping season over four provinces in the Philippines were acquired from March to November 2018. Field measurements, observations and interviews were conducted on 186 sample fields and mean backscatter values for each of the sampled fields were generated from S-1A data acquired during the season. The reported dates of land preparation and estimated dates of crop growth stages were matched with the corresponding SAR acquisition dates. We used the Mann-Whitney U test to identify growth stages for which there are significant differences in backscatter values between transplanted and direct seeded rice. The results are generally consistent with the findings of a previous study conducted in one province in the Philippines in the dry season of 2017. We found, however, some inconsistencies in terms of the polarization where the significant differences were observed. These findings demonstrate the possibility of discriminating transplanted from direct seeded rice using SAR temporal data but suggests further fine tuning in the methodology is needed for different locations and seasons.
DETECTION OF ALGAL BLOOM IN THE COASTAL WATERS OF BORACAY, PHILIPPINES USING NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) AND FLOATING ALGAE INDEX (FAI)
Authors: Visitacion M. R. , Alnin C. A. , Ferrer M. R. , Suñiga L.
Published: December 2019

Abstract. Boracay is a top tourist island in the Philippines known for its 4-km beach with powdery white sand. Recently, abundance of green algae, an indicator of high nutrient discharge, along the coastal waters of the island had led to concerns on its water quality and prompted its closure to allow ample time for rehabilitation. This study examined the algal bloom along the coastal waters of Boracay through the determination of Normalized Difference Vegetation Index (NDVI) and Floating Algae Index (FAI). ENVI and SNAP software were used to process the satellite images of Boracay obtained from its pre-closure to its reopening. Necessary corrections such as scaling to Top of Atmospheric radiance were applied. NDVI was calculated using orthotile images to determine vegetation and FAI was calculated using Sentinel-2A images. Secondary data showed that the coliform level decreased from 1 million to 18.1 MPN per 100 mL after the rehabilitation of Boracay. Lower NDVI and FAI index values were observed during the reopening of the island. The NDVI value decreased while the FAI value slightly increased on the 1st month of closure which was late dry season. Both NDVI and FAI values increased to their maximum during early wet season and eventually decreased during the reopening of Boracay. Results showed that the abundance of algae had lowered after the rehabilitation of Boracay. However, fluctuating NDVI and FAI values showed the possible seasonal effects on the algal bloom in the island. Further studies considering the other factors on algal blooms may be done.
IDEAL KIOSK PLACEMENT IN UP DILIMAN FOR EQUAL PROBABILITY OF CUSTOMER TURNOUT
Authors: Cabello K. A. , Manabat M. A. A. , Zamora M. B. A. , Blanco A. C.
Published: December 2019

Abstract. Kiosks scattered around the UP Diliman campus have always been playing a significant role in shaping the present culture in the university. However, competition is inevitable among owners. Some have even lowered their prices to attract more customers and increase sales and profits. One of the reasons why some kiosks earn more than others is because of the location of the kiosks and their distribution within the campus. In this study, accessibility, walkability and site availability are the main factors that were considered to create an ideal kiosk distribution model. First, road points within an area with 10% slope grade and below were only considered to obtain optimum gradient that requires the least energy. Road points that are within a buffer of 5 meters from waiting sheds and parking lots and 10 meters from buildings were accepted to consider the accessibility of each point. Closest Facility Tool (CFT) under Network Analysis was used to identify road points within 200 meters of each building. These points were considered as good candidate locations for kiosks. CFT was used again to identify buildings within 200 meters from each candidate point. Potential customer count (PCC) per building was reduced when a canteen is within 200 meters. Lastly, the PCC multiplied by the inverse of the distance was used as weight to identify the area that will result in equal demands of customers. Python code was used to iteratively identify the combination of road points that have relatively equal weights. A map showing all 20 current kiosks in their ideal locations and a list of landmarks surrounding each kiosk were produced. Results show that, ideally, five kiosks should be located near Palma Hall, which has the largest population count. Two kiosks should also be placed between the Law Center and Asian Center, between the Institute of Biology and the National Institute of Molecular Biology and Biotechnology, and near College of Arts and Letters, Institute of Electrical and Electronics Engineering (IEEE) and College of Human Kinetics (CHK). Finally, only one kiosk each should be placed near buildings such as Melchor Hall, the National Institute of Physics (NIP), the National Institute of Geological Sciences (NIGS), the Institute of Civil Engineering (ICE) and Albert Hall.
AUTOMATED PREDICTION SYSTEM FOR VEGETATION COVER BASED ON MODIS-NDVI SATELLITE DATA AND NEURAL NETWORKS
Authors: Abujayyab S. K. M. , Karaş İ. R.
Published: December 2019

Abstract. Around the world, vegetation cover functioning as shelter to wildlife, clean water, food security as well as treat large part of air pollution problem. Accurate predictive data early warn and provide knowledge for decision makers to reduce the effects of changes in vegetation cover. In this paper, an automated prediction system was developed to forecast vegetation cover. Prediction system based on moderate satellite data spatial resolution and global coverage data. The tools of system automate processing Moderate Resolution Imaging Spectroradiometer (MODIS) images and training neural networks (NN) model based on 60,000 observations to forecast future density of Normalized Difference Vegetation Index (NDVI). Zonguldak data, located in north of Turkey as dense vegetation cover area utilized as case study for system application. This system significantly facilitates predictive process for users than previous long and complex models.
Evaluation of Good Governance Principles Implementation Using Polling Data
Authors: Akimova Olena , Ishchenko Anna , Melnychenko Anatolii
Published: December 2019

The article deals with the peculiarities of polling data application in evaluating public authorities' adherence to the good governance principles. Opportunities and threats of soft and polling data implementation are highlighted considering the possible interests of the main stakeholders of the governance process. Evaluation of 12 good governance principles realization on public opinion basis has been analyzed, while the most relevant methods of raw data collecting have been identified, taking into account the peculiarities of main target audiences: citizens, civil servants and civil society organizations representatives.
Cognitive Engagement and Motoric Involvement in Learning: An Experiment on the Effect of Interaction Story Game on English Listening Comprehension in EFL Context
Authors: Sibarani Berlin
Published: December 2019

This study was intended to find out the significant effect of cognitive engagement and motoric involvement in listening comprehension. Interaction Story Game (ISG) was applied in an experimental group, consisting of 30 students, to promote cognitive and motoric involvement in listening comprehension. While to the control group, conventional technique was applied. The result of the study showed that the experimental group achieved significantly better listening comprehension than the control group did. The empirical evidence verified that cognitive engagement and motoric involvement significantly affected listening comprehension achievement. It also proved that ISG could increase the students’ cognitive engagement and motoric involvement. Deeper concentration on the instructor’s instruction, high competitiveness among the players, complexity of the game challenge and high motivation to win the game were some aspects enabling the ISG to promote cognitive engagement. The players’ activity to press the buttons and control the mouse of the ISG caused the students to get high motoric involvement.
Sustainable Development of Agricultural Sector: Democratic Profile Impact Among Developing Countries
Authors: Lyulyov Oleksii , Pimonenko Tetyana , Stoyanets Natalia , Letunovska Nataliia
Published: December 2019

The bullet point of Sustainable Development Goals (SDGs) 2030 is improving of countries food security through decreasing of hungry level and providing equal conditions for food to everyone. Besides, according to the findings the issues with hungry index could be solved through developing the agricultural sector corresponding of SDGs principals. The findings showed that the agricultural sector is start point of decreasing the hungry. The authors proved the type of the political regime had impact on the efficiency of achieving of SDGs and countries’ food security. The hypothesis of investigation was checking the relationship between political profile of the countries and level of sustainable development of the agricultural sector (ASI). The assessment of the relationship between average level of ASI and countries' democratic profile (democracy level of public relations) for 28 countries of Post-Soviet bloc proved the non-existence of differences between countries with authoritarian and transitional regimes opposed to other political regimes (imperfect and full democracy). The authors allocated three segments of countries: authoritarian and transitional regimes, imperfect democracy and full-fledged democracy. The findings proved the hypothesis that democracy level had a statistically significant impact on the average level of ASI. Using the bivariate and multivariate models the authors empirically proved that the democracy level increase by 1-point leads to the increase of the target index by 0.087 points for countries with authoritarian and transitional regimes (to which Ukraine belongs). Thus, the transition to a more democratic model of the political regime will partially offset the threats to food security.
From Preservice to Practice: Expectations of/in the Secondary ELA Classroom
Authors: Karalis Noel Tiffany , Shoffner Melanie
Published: December 2019

The paper explores how preservice ELA teachers’ expectations of teaching compare to the reality of their experiences during the first year of teaching. The authors consider common concerns of beginning ELA teachers and their implications for teacher self-efficacy. The paper is informed by narrative research, which provides practical and specific insights into the lived experiences of participants. The first data set consists of reflective writings on a self-identified topic connected to ELA teaching and/or learning throughout the semester. Two, one-hour individual interviews conducted during the first year of teaching form the second data set. The paper provides empirical insights about how preservice experiences inform ELA teachers’ expectations of first-year teaching and their development of self-efficacy. Their two major concerns – classroom management and building rapport – identified their fears and insecurities about managing disruptive students and establishing connections with students. These struggles offer a connection between expectations, experiences and self-efficacy. Likewise, they point to the need for teacher education to address preservice teachers’ self-efficacy as a way to support their successful entry into the classroom. The paper includes implications for the development of increased opportunities to study and experience critical concerns of the profession. Such learning experiences offer preservice teachers meaningful opportunities to engage with experiential learning, applied practice and critical reflection before their first year in the field. The paper fulfills an identified need to study how differences between expectation and reality can be difficult for beginning ELA teachers to reconcile, a disconnect that lends itself to considerations of teachers’ self-efficacy.
The Introduction of a Thin-bending Wood Horn Speaker as Multipurpose Teaching Material in Japanese Junior High School Technology Classes
Authors: Jung Kiho , Otaka Yuki
Published: December 2019

As a case study of the introduction of efficient and effective teaching materials and methods that enhance students' technological literacy in different areas despite the relative lack of classroom hours devoted to technology education in Japanese junior high schools, a front-loaded horn speaker system was proposed as a component of multipurpose teaching materials and methods integrating several areas. Following the development of teaching materials and lesson plans, their effectiveness was evaluated through implementation. Acoustic measurements showed that the horn speaker provided high efficiency in the midrange. Moreover, the results of a post-lesson questionnaire administered to junior high school indicated that the speaker system was highly effective as teaching material. It was therefore concluded that the new design enhanced not only student interest but also their technological literacy, as they demonstrated an understanding of the acoustic mechanism and high satisfaction with their final products.
Advantages of Employment after Retirement – A Content Analysis Approach. What Is Academic Professional Experience Worth After Retirement Age?
Authors: Davidovitch Nitza , Eckhaus Eyal
Published: December 2019

This study is a pioneer study that examines the advantages of faculty employment after retirement age from the perspective of academic faculty. The economic-industrial literature suggests that prior experience is a major consideration in the industry, particularly in the process of selecting suppliers, and the weight given to occupational experience has an effect on other advantages as well.  108 questionnaires administered to senior faculty were collected in a case study of a single university. A combined research method including qualitative and statistical analyses was employed, with the aim of exploring the advantages of faculty employment at institutions of higher education after retirement age. The current research findings show that most of the faculty members claim that the experience accumulated by faculty who have passed the retirement age is their strongest advantage. Furthermore, professional-academic experience was found to correlate with other advantages, namely knowledge, international contacts, deeper familiarity with the global academic system, improved teaching capabilities, and improved ability to guide advanced studies. This, in addition to the advantages of personal-professional skills: more patience and greater research performance ability.  The findings raise the practical question of the implications for the academic system in general and for the public academic system in particular. In other words, how does the public system of higher education translate the advantages of previous academic experience beyond retirement age? What are the benefits for colleagues, young faculty, the institutions – and the system of higher education in general, with regard to research, teaching, and contribution to the community?
On the Cultivation of Middle School Students' Creativity
Authors: Gong Shiqi
Published: December 2019

This paper first explains the concept of creativity, then reviews the domestic and foreign researches on creativity, and then discusses the importance and basic principles of cultivating creativity of middle school students. Finally, the paper puts forward the ways to cultivate the creativity of middle school students. The purpose of this paper is to promote the development of the teaching theory and the renewal of the teaching concept so as to develop the creative teaching and research learning and further improve the quality education level.
Sanctieregelgeving en Wwft: same same, but different!
Authors: Kodrzycki T.J. , Geertsma J.G.
Published: December 2019

Sanctieregelgeving en Wwft: same same, but different!

Een deugdelijk complianceprogramma is verplicht onder de Wwft en de Sanctiewet 1977 en draagt bij aan risicobeheersing van strafvervolging. Onder de Sanctiewet 1977 zien we in recente jaren een toename in strafrechtelijke vervolging en veroordeling. Onderzocht wordt een aantal verschillen en overeenkomsten in de eisen die toezichthouders stellen aan complianceprogramma’s ten aanzien van de Wwft en de Sanctiewet 1977. Overlap wordt geconstateerd ten aanzien van geliste landen, meldplichten aan toezichthouders, identificeren van UBO’s, onderzoek naar cliënten/zakelijke relaties/transacties, identificeren van PEP’s. De Wwft en Sanctiewet 1977 gaan uit van verschillende normenkaders: risk based (Wwft) en rule based (Sanctiewet 1977).
Afgedwongen informatie van de gefailleerde in strafzaken en de poortwachtersfunctie van de strafrechter
Authors: Brinkhoff S.
Published: December 2019

Afgedwongen informatie van de gefailleerde in strafzaken en de poortwachtersfunctie van de strafrechter

De gefailleerde is op grond van de in de Faillissementswet vastgelegde plichten tot inlichting en medewerking gehouden mee te werken aan het onderzoek van de curator. Dit onderzoek kan leiden tot een strafrechtelijke aangifte.

In de kern ziet deze bijdrage op de vraag of, en zo ja welke rol de hierboven onder dwang verkregen gegevens in de daaropvolgende strafzaak kunnen spelen. Hebben deze gegevens alleen de status van startinformatie en dienen zij dus enkel om het opsporingsonderzoek een aanvang te doen nemen? Of kan deze informatie ook worden gebruikt voor het bewijs in die strafzaak? Dit alles is op het eerste oog niet onproblematisch als wordt bedacht dat een belangrijk strafvorderlijk uitgangspunt is dat een verdachte niet kan worden gedwongen mee te werken aan zijn eigen veroordeling, oftewel het in artikel 6 EVRM geïncorporeerde nemo tenetur-beginsel.
De Transactie Monitoring Utility: Private samenwerking in de strijd tegen witwassen
Authors: Nelemans M. , Verhage G.M.
Published: December 2019

De Transactiemonitoring Utility: Private samenwerking in de strijd tegen witwassen

Vijf Nederlandse banken hebben op 13 september jl. publiekelijk de ambitie uitgesproken om samen te gaan werken bij het monitoren van transacties door middel van de Transactiemonitoring Utility. De minister van Financiën heeft aangekondigd dat dit najaar een wetsvoorstel zal worden gepubliceerd ter openbare consultatie waarmee de bestaande wettelijke belemmeringen voor de beoogde interbancaire gegevensdeling moeten worden weggenomen. In deze bijdrage wordt kort de TM Utility besproken en wordt ingegaan op de belofte hiervan.
The macro- and microeconomic approach of subsidies
Authors: Széles Zsuzsanna , Tóth-Szabó Erzsébet , Tóth Gábor
Published: December 2019

Subsidies can come from domestic and EU sources, and they aim to cover costs and serve development goals. We have examined subsidies from two aspects: from the micro- and the macroeconomic approach. On the one hand, regarding the macroeconomic impact, we look at how their extent and components changed between 2004 and 2017, and also whether the impact of developments within the framework of cohesion subsidies on the budget was significant. Hungary has been among the net beneficiary Member States since its accession to the EU. The positive balance between 2004 and 2017 was more than 40 billion EUR In 2017, Poland (10.68%) and France (12.1%) were given the most significant subsidies, while Hungary received 3.68% of the total budget expenditure. On the other hand, from the microeconomic approach, the paper examines accounting and accountancy options and managing emerging issues. The analysis includes a conceptual approach to dealing with the problem in terms of the single accounting principles, the principle of comparability, and the principle of accruals. Two procedures can be applied to state support in the principle capital and income approach. It is an important difference that, in the net method, a subsidy becomes part of the equity immediately in the year of disbursement, while in the case of the gross method, only the life of the asset will be included in the equity in the current year by deducting the deferred income.
Robotic process automation and its impact on accounting
Authors: Jędrzejka Dariusz
Published: December 2019

The paper seeks to explain the concept of robotic process automation (RPA), the ways it impacts accounting, and suggest future research directions. A literature review of previous studies and state-of-the-art sources has been conducted to reveal research gaps. The results provide insights into the nature of the accounting transformation. The potential for automating accounting processes with RPA is high, and robots are predicted to replace accountants for a considerable part of their tasks. That could lead to the disappearance of entry-level accounting positions and, simultaneously, the creation of new accountant roles. Future accountants’ responsibilities will go beyond bookkeeping and financial reporting towards business advisory and leading the RPA transformation. The change entails the need to improve their soft skills, and technology and data skills. It calls for more studies on an effective method to integrate these skills into the accounting education model. Further research is required to examine the potential negative effects of employing robots. These relate to the unnecessary human-robot competition, unintended organisational structure changes, deskilling, and building expertise and knowledge management. Finally, to obtain a more comprehensive view of the impacts of RPA performance, more in-depth research is needed to account for all the financial and non-financial effects of RPA implementation.
Sistema para roteamento de veículos capacitados aplicando Métodos de Monte Carlo
Authors: Oliveira Rômulo , Delgado Karina
Published: December 2019

O Problema de Roteamento de Veículos (Vehicle Routing Problem, VRP) é um dos problemas de Otimização Combinatória mais estudados dentro da Computação e de grande relevância para as áreas de logística e transporte. Este trabalho apresenta um novo algoritmo para resolução do Problema de Roteamento de Veículos Capacitados (Capacitated Vehicle Routing Problem, CVRP), utilizando Métodos de Monte Carlo. Métodos de Monte Carlo são métodos estatísticos que utilizam amostragem aleatória para resolver problemas probabilísticos e determinísticos. O algoritmo proposto foi desenvolvido baseado em Simulações de Monte Carlo e na heurística de Clarke e Wright Savings e demonstrou resultados comparáveis aos melhores algoritmos existentes na literatura, superando trabalhos anteriores com Métodos de Monte Carlo. A comparação, análise e avaliação do algoritmo foram feitas com base em benchmarks de problemas existentes na literatura.
Avaliação de um Modelo de Maturidade para Governança Ágil em TIC usando Focus Group
Authors: Neto Humberto , Magalhães Edviges , Moura Hermano , Filho José , Cappelli Claudia , Martins Luiz
Published: December 2019

A Governança Ágil em Tecnologia da Informação e Comunicação (TIC) é uma área em ascensão e vem sendo sugerida como uma proposta inovadora baseada no uso de princípios e valores do Manifesto para Desenvolvimento Ágil de Software sobre o contexto da Governança em TIC convencional. No entanto, a adoção de práticas para uma boa Governança Ágil em TIC ainda é considerada uma tarefa desafiadora devido, principalmente, a multidisciplinaridade e relativa incipiência da área. Se por um lado, há um conjunto de princípios, práticas e valores de áreas subjacentes a este domínio, por outro lado, esse conjunto ainda não se apresenta organizado em um contexto mais amplo de forma a promover um caminho sistemático e gradual para uma evolução de maturidade em Governança Ágil em TIC. Diante desta lacuna, este artigo apresenta uma proposta de modelo de maturidade para Governança Ágil em TIC construído a partir de um amplo estudo bibliográfico envolvendo as áreas de Governança em TIC, agilidade e maturidade. Durante a construção do modelo proposto, partiu-se de uma abordagem qualitativa, com método indutivo e procedimentos comparativoestruturalistas. Por fim, este artigo apresenta uma avaliação do modelo proposto por meio de focus group. Como resultado, um conjunto de melhorias identificadas durante o estudo vem subsidiando a construção de uma nova versão do modelo.
Learning Difficulties in Computing Courses: Cognitive Processes Assessment Methods Research and Application
Authors: Pessoni Vinicius , Federson Fernando , Vincenzi Auri
Published: December 2019

Learning difficulties in computing courses is a situation perceived in diverse universities from different countries, cultures and backgrounds. These difficulties directly affect achievement rates and increase course evasion. We believe in the existence of a foundation of cognitive processes, that without it, even the most motivated student would have trouble to transform the received information into knowledge. This work has focused mainly on the research of candidate methods for cognitive processes assessment with a strong background theory. With this kind of information would be possible to devise cognitive interventions, in order to evolve students cognitive level, and consequently, raise their success rates. A systematic review was conducted and among the many researched methods we selected Lawson Classroom Test of Scientific Reasoning – LCTSR. Authorized by its author, we conducted the first translation of LCTSR to Brazilian Portuguese and administered to students of three undergraduate computing courses: Information Systems, Computer Science and Software Engineering. We also present results of its administration that we consider important to reinforce the above suggested strategy.
Uma Ferramenta para Busca Não Estruturada em Código AspectJ
Authors: Gil Rodrigo , Piveta Eduardo , Saccol Deise , Faveri Cristiano
Published: December 2019

Com o aumento do tamanho dos sistemas de informação e de sua complexidade e com as limitações que as IDEs disponíveis atualmente possuem em relação a buscas mais complexas em código fonte, ferramentas que possam auxiliar desenvolvedores de software na recuperação de informações relevantes tornam-se muito úteis. Neste contexto, este artigo apresenta uma ferramenta que viabiliza a recuperação de informações em código AspectJ de forma não estruturada. Essa ferramenta permite a busca nas estruturas utilizando apenas o valor sintático da consulta ou agregando valor semântico e com isso melhorando seus resultados.
Um Sistema de Predição de Relacionamentos em Redes Sociais
Authors: Digiampietri Luciano , Maruyama William , Santiago Caio , Lima Jamison
Published: December 2019

Predizer novos relacionamentos dentro de um grupo social é uma tarefa complexa, porém extremamente útil para potencializar ou maximizar colaborações por meio da indicação de quais seriam as parcerias mais promissoras. Nas redes sociais acadêmicas, a predição de relacionamentos é tipicamente utilizada para tentar identificar potenciais parceiros no desenvolvimento de um projeto e/ou coautores para a publicação de um artigo. Este artigo apresenta um sistema que combina técnicas de inteligência artificial com o estado da arte das métricas de predição de relacionamentos em redes sociais. O sistema resultante foi testado usando dados reais de pesquisadores em Ciência da Computação e atingiu uma precisão superior a 99,5% na predição de novas coautorias.
Avaliação de Técnicas de Mineração de Dados para Predição de Desligamentos em Sistemas Elétricos de Potência
Authors: Maia Anderson , Morais Jefferson , Pires Yomara , Júnior Aldebaro , Martins Daniel
Published: December 2019

O volume de informações históricas relacionado ao comportamento dos sistemas elétricos de potência, fez aumentar significativamente a dimensão das bases de dados das empresas de energia, sem entretanto contribuir com a melhoria nos aspectos de operação, manutenção e qualidade do serviço, salvo para eventuais consultas do comportamento histórico de variáveis. Diversos trabalhos na literatura vêm sendo propostos para investigar diversos aspectos relacionados este problema. Alguns desses trabalhos abordam o problema da predição de ocorrência de desligamentos em sistemas de potência utilizando técnicas de mineração. No entanto, devido ao grande volume de dados, a busca por metodologias de preparação e seleção de dados torna-se importante. Neste trabalho, é apresentada uma proposta metodológica utilizando técnicas de mineração de dados aplicadas às séries temporais de medição fasorial sincronizada para auxílio da prevenção de desligamentos devido a desvios de tensão em sistemas elétricos de potência. São testadas algumas técnicas de mineração em dados obtidos em uma linha de transmissão de 230 kV que interliga as subestações de Tucuruí, Altamira, Rurópolis, constituindo o sistema elétrico Tramo Oeste do Pará.
Aprendizado de Máquina em Sistemas de Recomendação Baseados em Conteúdo Textual: Uma Revisão Sistemática
Authors: Brunialti Lucas , Peres Sarajane , Freire Valdinei , Lima Clodoaldo
Published: December 2019

Sistemas de Recomendação baseados em Conteúdo (SRbC) é uma área em que estratégias de Aprendizado de Máquina (AM) podem ser potencialmente aplicadas com êxito. Contudo, especificamente na área de SRbC textual, o uso de AM não tem sido expressivo nos últimos anos. Neste artigo é apresentada uma Revisão Sistemática para identificação, interpretação e avaliação de como estratégias de AM vêm sendo utilizadas no contexto de SRbC textual a fim de contribuir para a evolução da interseção de tais áreas.
Indoor location systems in emergency scenarios - A Survey
Authors: Bastos Arivan , Vieira Vaninha , Jr Antonio
Published: December 2019

Indoor location data are critical in emergency situations. Command centers need to monitor their operational forces. Rescuers need to find potential victims to carry proper care and the building’s occupants need to find the way for fast evacuation. Despite the growing body of research in indoor location, no technique is considered appropriate for different situations. Furthermore, few studies have analyzed the applicability of these techniques in an emergency setting, which has particular characteristics. This survey reviews works in indoor location applied to emergency scenarios, analyzing their applicability in relation to existing requirements in these types of situations.
Co-Occurrence of Design Patterns and Bad Smells in Software Systems: An Exploratory Study
Authors: Cardoso Bruno , Figueiredo Eduardo
Published: December 2019

A design pattern is a general reusable solution to a recurring problem in software design. Bad smells are symptoms that may indicate something wrong in the system design or code. Therefore, design patterns and bad smells represent antagonistic structures. They are subject of recurring research and typically appear in software systems. Although design patterns represent good design, their use is often inadequate because their implementation is not always trivial or they may be unnecessarily employed. The inadequate use of design patterns may lead to a bad smell. Therefore, this paper performs an exploratory study in order to identify instances of co-occurrences of design patterns and bad smells. This study is performed over five systems and discovers some co-occurrences between design patterns and bad smells. For instance, we observed the co-occurrences of Command with God Class and Template Method with Duplicated Code. The results of this study make it possible to understand in which situations design patterns are misused or overused and establish guidelines for their better use.
Solução M-Health no pré-diagnóstico da Laringe
Authors: Fuzyi Estefânia , Silva Matheus , Jr Sylvio
Published: December 2019

O estudo de novas abordagens que buscam aperfeiçoar o diagnóstico de patologias nas pregas vocais, é um dos principais motivadores para pesquisa em saúde baseado na voz. Não somente pela criação de novas técnicas, mas também no uso de tecnologias existentes com novas abordagens, tais como as tecnologias móveis em campos em que elas não foram exploradas, ou não foram exploradas completamente. Este artigo tem como objetivo apresentar uma ferramenta m-health para o diagnóstico precoce de doenças nas pregas vocais por meio de análises da frequência fundamental da voz do indivíduo juntamente com características dos hábitos do paciente. Assim, pretende-se melhorar a qualidade do diagnóstico, acelerando o processo e acrescentando outras contribuições de um m-health como o suporte às decisões médicas. Para avaliar os resultados obtidos no diagnóstico automatizado via ferramenta, foi utilizado uma base de vozes de pacientes de ambos os gêneros, já diagnosticados como patológicos. Atingiu-se um resultado de 95% de acerto, considerando uma diferença de 10Hz.
Adicionando informações estruturadas ao Bulário Eletrônico da ANVISA
Authors: Silva João , Jr. Carlos , Kashiwabara André
Published: December 2019

O Ministério da Saúde e outros órgãos relacionados pretendem evitar a automedicação e incentivar o cuidado do uso concomitante entre medicamentos, porém estes órgãos não disponibilizam ferramentas para facilitar este processo. A ANVISA disponibiliza um conjunto de 6.076 bulas em formato PDF, mas as informações nelas contidas não estão estruturadas. Um dos desafios deste trabalho consistiu em extrair automaticamente as informações presentes nesse conjunto de bulas. Este artigo apresenta uma metodologia semiautomática de mineração de textos para mapear as bulas da ANVISA nas redes de interações entre fármacos da base de dados DrugBank, juntamente com as doenças encontradas na base SNOMED-CT. Os medicamentos, as doenças, os fármacos e suas relações foram estruturadas e armazenadas em um banco de dados em grafos utilizando a tecnologia Neo4j.