Miracle-dz/UniFAR-FTUs huggingface dataset:
The main principles of insulin therapy

The article describes the main indications for insulin therapy, insulin agents and their characteristics depending on the origin, methods of producing and action duration. The article elucidates the methods of insulin injection and injection technique. Also, this article presents the insulin therapy regimen: the conventional and basal-bolus therapy, the daily insulin demand depending on the DM period and its distribution throughout a day. Besides, the article deals with the morning hyperglycemia syndromes, their differential diagnostics and therapeutic approach.
Modelo de evaluación de éxito de los sistemas de información, con énfasis en los factores políticos, social y ético en instituciones públicas del Perú

La presente investigación propone un modelo de éxito de los sistemas de información, con la adhesión del factor político, social y ético, aplicado al Módulo de Gestión de Recursos Humanos (MGRRHH) del Ministerio de Economía y Finanzas del Perú. Las bases teóricas empleadas incluyen los esquemas planteados por diversos autores, asumiendo finalmente un modelo de evaluación teórico basado en DeLone y McLean (2003), y Villegas (2010). Una vez identificado el modelo, con un ajuste adecuado y una validez promedio (elaborado a partir del alfa de Cronbach, el análisis factorial exploratorio, el análisis factorial confirmatorio y las ecuaciones estructurales), se estiman las relaciones significativas en base a los elementos y componentes de éxito, las cuales permiten eliminar aquellas relaciones no significativas y plantear un modelo final con el total de relaciones significativas.
Domestic Violence and Abuse experienced by Children and Young People living in Families with Alcohol Problems: Results from a Cross-European Study

The ALC-VIOL (Violence, Accidents and Injuries experienced by Children and Young People living in Families with Alcohol Problems) research project was concerned with domestic violence and abuse experienced by children and young people living in families with alcohol problems. The project had three main aims. First, it provided a rare and valuable opportunity to talk to children and young people (aged between 12 and 18), in several European countries, about their experiences of living with parental alcohol misuse and parental violence. We wished to hear from young people what it was like for them to live in an environment where both of these parental problems were present. Second, ALC-VIOL also aimed to use the data gathered from these interviews with children and young people to offer guidance on the development of intervention and prevention strategies for supporting these young people. Third, we wished to examine different countries’ policy positions on co-existing alcohol problems and domestic abuse within the family. Finally, given that these issues are not adequately prioritised across Europe, ALC-VIOL aimed to make a significant contribution by developing and strengthening National Networks of specialists in these areas (alcohol misuse, violence) so that they could raise awareness of the issues of parental alcohol misuse and parental violence, and of the needs of children living in such circumstances.
An Intrusion Detection System for Network Security Based on an Advanced Honeypots Server

The current greatest challenge to Network security is cyber warfare. Every part of computer network security is an essential component. In the existing technologies computer networks and systems are more crucially concerned with network security. The greatest challenge in network is addressing security to the server side. This latest end-to-end research paper recommends to improve the security performance to protect the network from intruders. An advanced honeypot based Intrusion Detection technique is used to detect and analyze threats to ensure security. The Honeypot technique adds a layer to the network security to enhance its performance. A key feature of honeypot is to distract the attacker from the real system to derive important information about hacker activities. To validate whether the clients are authorized or unauthorized and monitor the unauthorized client activities, as a first step we use IP validation together with vulnerability detection of user activities. In the second step we use voice recognition as detectors of malicious attacks. Once IP validation and voice recognition are processed and matched then the client is an authorized client and the packet is transmitted to the server, but if not matched it is an unauthorized client, then the packet transmits it to the honeypot server. Our experiment has demonstrated that this particular approach can successfully identify unknown attacks with greater than 95% detection rate and less than 1% false alarm rate.
PENGARUH KUALITAS PELAYANAN DAN HARGA TERHADAP KEPUASAN KONSUMEN SERTA DAMPAKNYA PADA LOYALITAS KONSUMEN WEDDING ORGANIZER DI KOTA PRABUMULIH

Purpose: This study aimed to determine the effect of service quality andprice to customer satisfaction and its impact on consumer loyality in the cityPrabumulih wedding organizer. Formulation of the problem is whether thereis influence service quality and price to customer satisfaction and its impacton consumer loyalty Prabumulih wedding organizer in the city? Design/Methodelogy/Approach: The data used in this study are primary data89 respondent reply. Models analysis used analysis and by testing thevalidity and reliability of instruments. Test charactistics data that is test ofnormality and linearity test. Test model consist of multicolinearity test andheterokesdatisitas test.Implications: The test results of path analysis showed that there werepositive and significant impact variable quality of service significantlyinfluence consumer satisfaction 0,000. Price variables significantly influenceconsumer satisfaction 0,000. Variable service quality signifintly consumerloyalty 0,000. Price variables dont have significantly influence consumerloyality 0,205. and Variable customer satisfaction dont have significantlyinfluence consumer loyalty 0,188.Findings: Their suitability to the theory and there is a match and supportprevious research. Increased service quality, price and customerssatisfaction and customer loyality.
Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic

This paper introduces a novel machine learning architecture for an efficient estimation of the probabilistic space-time representation of complex traffic scenarios. A detailed representation of the future traffic scenario is of significant importance for autonomous driving and for all active safety systems. In order to predict the future spacetime representation of the traffic scenario, first the type of traffic scenario is identified and then the machine learning algorithm maps the current state of the scenario to possible future states. The input to the machine learning algorithms is the current state representation of a traffic scenario, termed as the Augmented Occupancy Grid (AOG). The output is the probabilistic space-time representation which includes uncertainties regarding the behaviour of the traffic participants and is termed as the Predicted Occupancy Grid (POG). The novel architecture consists of two Stacked Denoising Autoencoders (SDAs) and a set of Random Forests. It is then compared with the other two existing architectures that comprise of SDAs and DeconvNet. The architectures are validated with the help of simulations and the comparisons are made both in terms of accuracy and computational time. Also, a brief overview on the applications of POGs in the field of active safety is presented.
A New Enhanced Energy-Detector-Based FM-DCSK UWB System for Tactile Internet

Frequency-modulated differential chaos shift keying ultrawideband (FM-DCSK UWB) system has attracted more and more attention in recent years because of its low-complexity and low-power advantages. Nevertheless, its system performance is severely degraded in the presence of narrowband interference (NBI), which further limits its practical applications. In this paper, an enhanced energy-based detector (EED) is proposed for the FM-DCSK UWB system to tackle this problem. Compared with the conventional energy detector (ED), the proposed EED significantly enhances the anti-NBI capability while maintaining the low-power and low-complexity feature. As a further insight, the analytical bit-error-rate (BER) expression of the proposed EED-based FM-DCSK UWB system is derived over additive white Gaussian noise as well as IEEE 802.15. 4a multipath fading channels. Moreover, simulation results are carried out to demonstrate the accuracy of the theoretical analysis and the merit of the proposed EED. It is illustrated that the proposed EED achieves better performance than the conventional ED in various transmission scenarios. Thanks to the above-mentioned advantages, the proposed EED-based FM-DCSK UWB system appears to be an excellent candidate for low-power and low-complexity tactile Internet-of-Things applications, e.g., wireless sensor networks and wireless body area networks.
Transforming a Business and Information Need Goals’ Ontology into a Formal Specification useful for a Strategy Pattern Recommender System

From a computer science point of view, ontologies are aimed at getting knowledge from a certain domain and providing a consensual understanding of it. In the conceptualization stage, ontologies can be represented by means of UML models. However, UML models are not semantically machine processable. Therefore, during the implementation stage, ontologies expressed as UML models should be translated into formal languages, which allow inferring the ontology. In this work, we present the ontology transformation made from an UML conceptual specification to an OWL formal specification for the quality evaluation domain. This ontology represents concepts and relationships related with goals (both business and information need goals) at different organizational levels in addition to projects, strategies and strategy patterns, which help to achieve specific evaluation goal purposes. The final aim of the transformation is to have a shared knowledge about evaluation goals and strategy patterns that permit to instantiate the suitable strategy to carry out goal purposes. This will allow us to develop a strategy pattern recommender system, which can be useful during the strategy selection process when implementing quality measurement and evalua-
Tratamento endovascular das doenças da aorta: visão geral

As disseccoes e aneurismas da aorta toracicaconstituem uma enfermidade de consequencias por vezescatastroficas. Apesar dos avancos obtidos nos metodosdiagnosticos, na tecnica operatoria, nos controles intra epos-operatorios estas afeccoes ainda sao um formidaveldesafio para os medicos envolvidos, principalmentecirurgioes, que tem que intervir nessa doenca complexa eque, frequentemente, nao permite erradicacao completa.O desafio do tratamento cirurgico das disseccoesaorticas e aneurismas precedeu, em decadas, a aventurados cirurgioes em ousar intervir em cavidades cardiacas ecomo curiosidade, a primeira intervencao cirurgica paliativaproposta para as disseccoes foi realizada por Gurin et al.em um paciente que apresentava oclusao da arteria iliacadireita por compressao da luz verdadeira pela falsa luzdilatada.Nos ultimos anos, importantes contribuicoes surgirame uma das mais importantes foi o conceito pelo qual asdoencas da aorta passaram a poder ser corrigidas porproteses endoluminares posicionadas no interior da aortaatraves de cateteres introduzidos na arteria femoral, sobcontrole radiologico. Basicamente, estes avancos foramintroduzidos por Dotter et al. experimentalmente, em 1994,e Parodi et al., em 1996, ja tratando alguns pacientesportadores de aneurismas da aorta abdominal, apos extensostrabalhos experimentaisA disseccao da aorta descendente e os aneurismas quetanto assustava clinicos e cirurgioes pela altissima taxa demortalidade e morbidade quando complicados, encontrouna terapeutica endovascular uma opcao muito interessantee assim surgiram os primeiros trabalhos na literatura comresultados animadores.O objetivo da colocacao da endoprotese na disseccao ea oclusao da lesao da intima, impedindo desta forma que osangue passe para a falsa luz e nos aneurismas e a exclusaodo saco aneurismatico da circulacao e para isto fundamentalque se tenha um diagnostico preciso utilizando-seecocardiograma, tomografia e arteriografia. Nestes novostempos, a aortografia que se encontrava indicada nodiagnostico de poucos casos, se reabilitou, tendo em vistaque todo este novo procedimento e realizado na sala dehemodinâmica (Figura 1). O controle pos-operatorio e feito na maioria das vezespor tomografia computadorizada, na qual procuramosobservar a exclusao da falsa luz no caso de disseccoes oudo saco aneurismatico quando dos aneurismas verdadeiros(Figura.2)
Investigation of road tunnel fires: challenges and findings

Numerical simulations have widely been used in the past to perform various complex engineering problems and phenomena. Most of the time the main objective of numerical modelling was to validate the outcome of experimental findings. However, it’s not always possible to replicate the exact conditions of experiments while doing a numerical simulation. There are various obstacles in modelling complex engineering problems such as the capability of a program, computational resources, time, understanding the real physics, modelling of components etc. This study will focus on the road tunnel fires with a heavy goods vehicle. A full-scale experiment of road tunnel fires is not always feasible because of very high cost and legal procedures. This motivates alternative techniques such as numerical modelling to study such phenomena. A numerical analysis of road tunnel fire involving heavy goods vehicle is undertaken in this study using FDS (Fire dynamic simulator) program. The study will discuss the challenges associated with the numerical modelling of road tunnel fires. A comprehensive summary of real problems encountered in such modelling, their possible causes, alternative ways, their impact of overall results and few solutions will be presented in this study. This paper reviews the similar work done by other researchers worldwide and provides a benchmarking.
Generation and Analysis of Content for Physics-Based Video Games

The development of artificial intelligence (AI) techniques that can assist with the creation and analysis of digital content is a broad and challenging task for researchers. This topic has been most prevalent in the field of game AI research, where games are used as a testbed for solving more complex real-world problems. One of the major issues with prior AI-assisted content creation methods for games has been a lack of direct comparability to real-world environments, particularly those with realistic physical properties to consider. Creating content for such environments typically requires physics-based reasoning, which imposes many additional complications and restrictions that must be considered. Addressing and developing methods that can deal with these physical constraints, even if they are only within simulated game environments, is an important and challenging task for AI techniques that intend to be used in real-world situations. The research presented in this thesis describes several approaches to creating and analysing levels for the physics-based puzzle game Angry Birds, which features a realistic 2D environment. This research was multidisciplinary in nature and covers a wide variety of different AI fields, leading to this thesis being presented as a compilation of published work. The central part of this thesis consists of procedurally generating levels for physics-based games similar to those in Angry Birds. This predominantly involves creating and placing stable structures made up of many smaller blocks, as well as other level elements. Multiple approaches are presented, including both fully autonomous and human-AI collaborative methodologies. In addition, several analyses of Angry Birds levels were carried out using current state-of-the-art agents. A hyper-agent was developed that uses machine learning to estimate the performance of each agent in a portfolio for an unknown level, allowing it to select the one most likely to succeed. Agent performance on levels that contain deceptive or creative properties was also investigated, allowing determination of the current strengths and weaknesses of different AI techniques. The observed variability in performance across levels for different AI techniques led to the development of an adaptive level generation system, allowing for the dynamic creation of increasingly challenging levels over time based on agent performance analysis. An additional study also investigated the theoretical complexity of Angry Birds levels from a computational perspective. While this research is predominately applied to video games with physics-based simulated environments, the challenges and problems solved by the proposed methods also have significant real-world potential and applications.
Serum lipid profiles in repeat breeding and normal cyclic cows in Bangladesh

Repeat breeding reduces calf and milk production in crossbred cows. Serum lipid profiles in repeat breeding (RB) and normal cyclic (NC) cows were examined. Blood samples from 10 of each type cows were collected and TC, TG, HDL and LDL were estimated by spectrophotometer using enzymatic commercial kit. The serum TC in NC and RB were found within normal range (167.43 vs. 174.95mg/dl) (P>0.05). The TG in RB cows (121.92mg/dl) were significantly (P<0.05) higher than NC cows (115.03mg/dl). The HDL and LDL in NC (49.74 and 98.82mg/dl) and RB cows (46.40 and 103.09mg/dl) were found within normal range (P>0.05). Serum lipids have no effect on repeat breeding problem for crossbred cows. Asian J. Med. Biol. Res. June 2019, 5(2): 158-161
The Coimbra Workshop in Musculoskeletal Stress Markers (MSM): an annotated review

The Workshop in Musculoskeletal Stress Markers (MSM): limitations and achievements in the reconstruction of past activity patterns, was held at the University of Coimbra, in Portugal (2nd – 3rd July 2009). The chief goal of the organizing committee was to provide a productive environment where researchers could discuss the methodologies and terminology employed for the study of MSM as well as assessing how well these enthesopathies serve as markers of occupational stress. The Workshop was organized in three major sessions, each one introduced by a keynote lecture: (1) Methodological issues; (2) MSM studies of archaeological samples and Identified Skeletal Collections; and (3) The multifactorial etiology of enthesopathies. The meeting was concluded with a Plenary Session where two annotators discussed the presentations; this was followed by a general discussion and the formation of three working groups focused on the topics of Methods, Terminology, and Occupations. Details of the Workshop and the presentations presented are available for download at http://www.uc. pt/en/cia/msm/. A blog (http:// coimbraworkshopmsm.blogspot. com/) was created to facilitate communications about individual experiences and to share knowledge among researchers in this field. We hope that this Workshop will help to standardize methodologies and terminology and promote the creation of a more integrated scientific approach to future studies of MSM.
Online Learning and Heuristic Algorithms for 5G Cloud-RAN Load Balance

The rapidly evolving 5G cellular system adapts cloud computing technology in its radio access networks (RAN), namely Cloud RAN or CRAN. CRAN enables better scalability, flexibility, and performance that allows 5G to provide connectivity for the vast volume of IoT devices. This chapter presents two major research results addressing the load balance (LB) problem in CRAN. First, the authors propose a generic online learning (GOL) system; GOL integrates reinforcement learning (RL) with deep learning method for an environment not fully visible, changing over time, while receiving feedbacks of fluctuating delays. Simulation results show that GOL successfully achieves the LB objectives of reducing both cache-misses and communication load. Next, they study eight practical LB based on real cellular network traffic characteristics provided by Nokia Research. Experiment results of these algorithms on queue-length analysis show that the simple, light-weight queue-based LB is almost as effectively as the much more complex waiting-time-based LB.
App Store Effects on Software Engineering Practices

In this paper, we study the app store as a phenomenon from the developers’ perspective to investigate the extent to which app stores affect software engineering tasks. Through developer interviews and questionnaires, we uncover findings that highlight and quantify the effects of three high-level app store themes: bridging the gap between developers and users, increasing market transparency and affecting mobile release management. Our findings have implications for testing, requirements engineering and mining software repositories research fields. These findings can help guide future research in supporting mobile app developers through a deeper understanding of the app store-developer interaction.
The Comparison of Iconicity Level of Icon Arrays on Risk Perception

The icon array or pictograph has been claimed as the most effective format for health risk information presentation. Some previous study had showed that people with different level of numeracy were differently process the information from icon array, while the effect of iconicity level of icon array remained unclear. Thus, the purpose of this study was to compare the iconicity level of icon array on health risk perception in Thai people with different numeracy level. Total of 112 Thai people participated in this study. The results revealed the differences in risk perception toward different iconicity level of icon array from people with low numeracy. The pattern found in this study could be used as the design guideline and the discussion are provided.
Prototipe Sistem Informasi Geografis Fasilitas Kesehatan Di Kota Cirebon Berbasis Web

In the development of health need the data and information system that is integrated with both the development process so that health facilities can be optimized and the right target. One information system that can be used in the development of health facilities in the city of Cirebon is a geographic information system (GIS). And one of the software to build applications GIS is an Arcview and AlovMap. ArcView software is one of the software (tools) GIS and mapping was developed by ESRI (Environmental Systems Research Institute, Inc). ArcView has the ability to do data visualization, data exploration, the query (both spatial and non-database spatial), analyze the data geographically, and so forth. And AlovMap (including open source software) is a portable application WebGIS Java-based publication that is used to Raster and vector data on the Internet. Excess geographic information system facilities in the city of Cirebon AlovMap use is open source and are cheaper and have the ability to support the visualization of information in decision making. This system can produce a map of the output of these pharmacies, laboratories and hospitals. Utilization of GIS for health facilities that was built is extraordinary in integrating between science, technology and health. Keywords— Arcview, Alowmap, Geographic information system, Health of facilities, Overlay, Shortest path.