Patient information software designed for medical specialists

The paper presents software designed for medical specialists for managing their patients information. This type of software products are needed for facilitating the work of doctors. By using this type of software products, the medical specialists are able to easily record, edit and maintain their patients information, which supports diagnosis and treatment of the patients

SEOSS-Queries - a software engineering dataset for text-to-SQL and question answering tasks

Stakeholders of software development projects have various information needs for making rational decisions during their daily work. Satisfying these needs requires substantial knowledge of where and how the relevant information is stored and consumes valuable time that is often not available. Easing the need for this knowledge is an ideal text-to-SQL benchmark problem, a field where public datasets are scarce and needed. We propose the SEOSS-Queries dataset consisting of natural language utterances and accompanying SQL queries extracted from previous studies, software projects, issue tracking tools, and through expert surveys to cover a large variety of information need perspectives. Our dataset consists of 1,162 English utterances translating into 166 SQL queries; each query has four precise utterances and three more general ones. Furthermore, the dataset contains 393,086 labeled utterances extracted from issue tracker comments. We provide pre-trained SQLNet and RatSQL baseline models for benchmark comparisons, a replication package facilitating a seamless application, and discuss various other tasks that may be solved and evaluated using the dataset. The whole dataset with paraphrased natural language utterances and SQL queries is hosted at figshare.com/s/75ed49ef01ac2f83b3e2

SHAH: Hash Function based on Irregularly Decimated Chaotic Map

In this paper, we propose a novel hash function based on irregularly decimated chaotic map. The hash function called SHAH is based on two Tinkerbell maps filtered with irregular decimation rule. Exact study has been provided on the novel scheme using distribution analysis, sensitivity analysis, static analysis of diffusion and confusion, and collision analysis. The experimental data show that SHAH satisfied admirable level of security.Comment: accepted for publication in International Journal of Electronics and Telecommunications, vol. 6

Application of sorting algorithms for convex hull determination

The proposed research explores the possibilities of applying some base algorithms for sorting to the process of finding a convex in order to optimize the time indicators of this process. A comparative analysis of the time characteristics has been performed using different time approaches in Graham’s algorithm. The empirical results obtained have been used as a basis for building a pattern model of the process of finding a convex hull. It performs point sorting by a given criterion and finds a convex hull on a two-dimensional set of points. For this model, a visualization module has been developed that can be used as a learning environment in the courses of computing and complexity of algorithms

Organophosphorus Reinforced Poly(vinyl alcohol) Nanocomposites Doped with Silver-Loaded Zeolite L Nanoparticles as Sustainable Materials for Packaging Applications

The sustainable development of innovative eco-friendly multifunctional nanocomposites, possessing superior characteristics, is a noteworthy topic. Novel semi-interpenetrated nanocomposite films based on poly(vinyl alcohol) covalently and thermally crosslinked with oxalic acid (OA), reinforced with a novel organophosphorus flame retardant (PFR-4) derived from co-polycondensation in solution reaction of equimolar amounts of co-monomers, namely, bis((6-oxido-6H-dibenz[c,e][1,2]oxaphosphorinyl)-(4-hydroxyaniline)-methylene)-1,4-phenylene, bisphenol S, and phenylphosphonic dichloride, in a molar ratio of 1:1:2, and additionally doped with silver-loaded zeolite L nanoparticles (ze-Ag), have been prepared by casting from solution technique. The morphology of the as prepared PVA-oxalic acid films and their semi-interpenetrated nanocomposites with PFR-4 and ze-Ag was investigated by scanning electron microscopy (SEM), while the homogeneous distribution of the organophosphorus compound and nanoparticles within the nanocomposite films has been introspected by means of energy dispersive X-ray spectroscopy (EDX). It was established that composites with a very low phosphorus content had noticeably improved flame retardancy. The peak of the heat release rate was reduced up to 55%, depending on the content of the flame-retardant additive and the doping ze-Ag nanoparticles introduced into the PVA/OA matrix. The ultimate tensile strength and elastic modulus increased significantly in the reinforced nanocomposites. Considerably increased antimicrobial activity was revealed in the case of the samples containing silver-loaded zeolite L nanoparticles

Education and post-communist transitional justice: negotiating the communist past in a memorial museum

This paper examines the role of education within post-communist transitional justice. It focuses on the ways in which young Romanians negotiate the communist past during an educational visit to a memorial museum. The museum enabled these visitors to better understand the repression of the communist era, had limited impact in changing their attitudes towards communism, but it did provoke reflection upon and comparison between the present and the communist past. Visitors recognized the role of the museum as a site of memory within post-communist transitional justice, but were also critically aware of the limitations to what the museum could achieve. The implications of these findings for postcommunist transitional justice are examined

Divorce Trends in Seven Countries Over the Long Transition from State Socialism: 1981–2004

The collapse of communism was a defining geopolitical event of late-20th century Europe, with well-documented economic, social, and political implications. Yet there is a striking absence of research on how it influenced divorce. The objective of this study is to provide an exploratory analysis of trends in divorce over the long transition from communism—starting from the decline of the communist economy in the 1980s and ending with economic revival—in seven countries: Bulgaria, Estonia, Hungary, Lithuania, Poland, Romania, and Russia. We discuss how the transition could be expected to either increase or decrease divorce risks. We analyze retrospective micro-level data on first marriages from the Changing Life Course Regimes in Eastern Europe (CLiCR) dataset. Based on our event-history analyses, we find that divorce rates increased in each country at some stage during the long transition and these increases cannot be explained by compositional change of the marriages. However, no uniform pattern emerged in the timing and duration of the increase in divorce risk. This striking variation leads us to conclude that even the effect of major societal ruptures is contextually contingent

Limb-girdle muscular dystrophy 2C - case report, review and recommendations

Introduction: Limb-Girdle Muscular Dystrophy (LGMD) is an autosomal recessive muscular dystro­phy defined with weakness of the hip and shoulder girdles leading to their paralysis and to confine­ment of the patient to a wheelchair. A common form among Bulgarian Roma families is LGMD2C - a C283Y mutation of the gamma-sarcoglycan gene.Materials and methods: Research in PubMed, European journal of human genetics, Official Journal of The Bulgarian Society of Neurology. A case report of a patient admitted for the first time to Uni­versity Hospital St. Marina - Varna. Family history: younger sister diagnosed with LGMD2C in 2014. Hospitalization was then offered to the sister and the patient, but it was not conducted. Cousin diag­nosed with LGMD2C - as well untreated, leading to immobilization. The disease presents at the age of 9 with difficulties in walking, climbing stairs and running. During hospitalization the neurologi­cal exam showed: scoliosis, Achilles and knee areflexia, low styloradialis and cubitus reflex, myopath­ic EMG, axonal degeneration of upper and lower limbs. The laboratory test was within normal val­ues except for high levels of creatine kinase (CK) - 3809 UI (13 times above the normal level: 32 - 294 UI), a DNA sample was taken for further analysis. The patient was discharged with better clinical and paraclinical specifications in a stable general condition.Results: The patient`s DNA analysis confirmed the mutation C283Y leading to the diagnosis LGMD 2C. Medical genetics consultation is offered. Rehabilitation and neurological consultations are need­ed, but taking into account the family history, the medical recommendations may not be followed.Conclusions: The described case reports that LGMD type 2C still needs screening, prophylaxis and programs for health-education among the Roma families in North-Eastern Bulgaria

SpojitR: Intelligently Link Development Artifacts

Traceability has been acknowledged as an important part of the software development process and is considered relevant when performing tasks such as change impact and coverage analysis. With the growing popularity of issue tracking systems and version control systems developers began including the unique identifiers of issues to commit messages. The goal of this message tagging is to trace related artifacts and eventually establish project-wide traceability. However, the trace creation process is still performed manually and not free of errors, i. e. developers may forget to tag their commit with an issue id. The prototype spojitR is designed to assist developers in tagging commit messages and thus (semi-) automatically creating trace links between commits and an issue they are working on. When no tag is present in a commit message, spojitR offers the developer a short recommendation list of potential issue ids to tag the commit message. We evaluated our tool using an open-source project hosted by the Apache Software Foundation. The source code, a demonstration, and a video about spojitR is available online: https://github.com/SECSY-Group/spojitr

Does a Ketogenic Diet Influence Patients with Alzheimer`s Disease?

Introduction:The ketogenic diet(KD) is a low-carb, high-fat diet, which forces the body to burn fatty acids instead of glucose for ATP synthesis. This metabolism of ketone bodies (kb) is activated during fasting and when glucose levels are diminished. Ketone bodies are another essential source of energy for the organism and their delivery is vital especially to the central nervous system and to the muscular tissue of the heart. The ketogenic diet is used in different kinds of neurodegenerative diseases such as Alzheimer`s disease.Materials and Methods: Our study is based on a literature survey (PubMed). We used the following keywords: ketogenic diet, Alzheimer`s disease, ketone bodies metabolism, KD`s effect on neuronal degeneration, memory.Results: Alzheimer`s disease (AD) is a progressive neurological disease, which affects multiple brain functions, including memory, ability to learn new things, thinking, language function and behavior. Studies show that neuronal excitability is enhanced in patients with Alzheimer`s disease. The pathological processes of AD involve neuronal degeneration with accumulation of abnormal cellular products such as brillary plaques and tangles. However, there is evidence that points to alterations in the function of the extant neural circuits and mitochondrial homeostasis. Studies show numerous experiments with transgenic AD mice and AD patients on a KD that reveal improvement in mitochondrial function and reduced expression of amyloid precursor protein and β-amyloid. sResearches also show that by altering energy metabolism with the KD, rates of degeneration of certain neural structures and functions might be slowed down, due to the fact that ketone bodies have a neuroprotective effect against the toxicity of β-amyloid plaques.Conclusions:The results from this literature research suggest that the ketogenic diet may be used as an effective treatment approach towards Alzheimer`s disease through a variety of metabolism-induced mechanisms that can reduce the causes of the disease