Tool for discovering sequential patterns in financial markets

The goal of this thesis is the study of a tool that can help analysts in finding sequential patterns. This tool will have a focus on financial markets. A study will be made on how new and relevant knowledge can be mined from real life information, potentially giving investors, market analysts, and economists new basis to make informed decisions. The Ramex Forum algorithm will be used as a basis for the tool, due to its ability to find sequential patterns in financial data. So that it further adapts to the needs of the thesis, a study of relevant improvements to the algorithm will be made. Another important aspect of this algorithm is the way that it displays the patterns found, even with good results it is difficult to find relevant patterns among all the studied samples without a proper result visualization component. As such, different combinations of parameterizations and ways to visualize data will be evaluated and their influence in the analysis of those patterns will be discussed. In order to properly evaluate the utility of this tool, case studies will be performed as a final test. Real information will be used to produce results and those will be evaluated in regards to their accuracy, interest, and relevance

Emotion Based Information Retrieval System

Abstract—Music emotion plays an important role in music retrieval, mood detection and other music-related applications. Many issues for music emotion recognition have been addressed by different disciplines such as physiology, psychology, cognitive science and musicology. We present a support vector regression (SVR) based Music Information Retrieval System (Emotion based). We have chosen the “Raga” paradigm of Indian classical music as the basis of our formal model since it is well understood and semi-formal in nature. Also a lot of work has been done on Western Music and Karnataka classical Music Initially in the system features are extracted from music. These features are mapped into emotion categories on the Tellegen-Watson Clark model of mood which is an extension to the Thayer’s two-dimensional emotion model. Two regression functions are trained using SVR and then distance and angle values are predicted A categorical Response Graph is generated in this module which shows the variation of emotion

Ramex-forum: sequential patterns of prices in the petroleum production chain

We present a sensibility analysis and new visualizations using an improved version of the Ramex-Forum algorithm applied to the study of the petroleum production chain. Di erent combinations of parameters and new ways to visualize data will be used. Results will highlight the importance of Ramex-Forum and its proper parameterizations for analyzing relevant relations among price variations in petroleum and other similar markets.This research is supported by the GoBusiness Research project (http://www. gobusinessfinance.ch/en/research). The authors would like to thank GoB- usiness Finance for providing the data, nancial knowledge and funds for the present work

Ramex-Forum: a tool for displaying and analysing complex sequential patterns of financial products

Financial data provides a valuable up‐to‐date knowledge of the world economy. However, it is presented in extremely large data volumes, in diverse formats, and is constantly being updated at a high speed. The Ramex‐Forum algorithm is oriented to guide financial experts in finding new and relevant information.We present a sensitivity analysis and newvisualizations using an improved version of the Ramex‐Forum algorithm. The proposed algorithm is applied to two case studies – the petroleum production chain and the European financial institutions risk analysis. Different combinations of parameters and new ways to visualize data are used. Results highlight the importance of Ramex‐Forum for analysing relevant relationships in price variations in financial markets.info:eu-repo/semantics/publishedVersio

Monitoring of adverse drug reactions in psychiatry outpatient department of a tertiary care hospital in Central India

Background: Adverse drug reactions (ADRs) are prevalent in patients taking psychotropic medications and can occur even at the normal doses used in the management of acute and maintenance phases of psychiatric disorders. Pharmacovigilance have cardinal role in alerting the healthcare providers from the possible ADRs and thus protecting the patients who are using psychotropic medications. To Monitor and estimate the incidence and nature of ADRs in psychiatry OPD of tertiary care hospital in central India and assess the causality, preventability and severity of documented ADRs.Methods: A prospective observational study was conducted in psychiatry out-patient department (OPD). Patients diagnosed with any psychiatric disorder and receiving psychotropic medications was included in the study. The recorded data were filled in the ADR form obtained from pharmacovigilance program of India (PvPI). Causality assessment was done using Naranjo scale and severity was assessed using Hartwig scale and preventability assessment using modified Schumock and Thornton’s scale.Results: The incidence rate of ADR was found to be 15.8%. A total of 61 ADRs were documented. Weight gain 14 (18.1%) followed by nausea 11 (14.2%) was the most commonly reported ADR. Atypical antipsychotics were the most common class of psychotropic drugs implicated in ADRs. Clonazepam 21 (27.2%) followed by amitriptyline 20 (25.9%) were associated with a maximum number of ADRs. Majority of the suspected ADRs were probable in nature (40.9%) followed by possible type (31%).Conclusions: Study revealed a moderate incidence of ADRs in patients attending the psychiatry OPD.  Majority of the ADRs reported during the study were mild in nature and definitely preventable type

Third special issue on knowledge discovery and business intelligence

[Excerpt] Expert Systems were proposed in the mid 1970s (Arnott & Pervan, 2014) with the goal of building computerized systems that mimic human behavior to solve real-world tasks. Such systems were based on artificial intelligence (AI) techniques, typically by adopting explicit (human understandable) knowledge, extracted from domain experts (e.g. by using interviews) and that was stored in a knowledge base (Buchanan, 1986).We would like to thank the other KDBI 2015 track (of EPIA) co-organizers, Luis Cavique, Joao Gama and Nuno Marques. Also, we thank the authors, who contributed with their papers, and the reviewers (from the KDBI 2015 program committee and the ES journal). This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia with in the Project Scope: UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio

Effectiveness of causative tooth extraction in maxillary sinusitis of dental origin

Department of Oral and Maxillofacial Surgery and Oral Implantology Arsenie Gutan, Nicolae Testemitanu State University of Medicine and Pharmacy of the Republic of MoldovaIntroduction. Odontogenic maxillary sinusitis (OMS) is an inflammatory disease caused by the spread of dental inflammation into the sinus. The rate of OMS was reported to be 25-40%. A lot of methods of treatment were proposed starting with medicine administration only, till radical sinusotomy. The question is what is the efficacy of the initial treatment, the one that includes the treatment of causal tooth only. Aim of the study. The purpose of this study was to identify the factors of significance that may contribute to the results of the initial treatment of OMS. Materials and methods. Twenty four patients were studied, which were divided in 2 groups, depending on the result of the treatment: effective and non-effective. Efficacy of the treatment was evaluated 3 months after causative tooth treatment with CT scan, which was compared with initial one. First group included 21 patients and the second one 3 persons, that required surgical treatment. Conclusions. 1. Causal tooth treatment of OMS is an effective and miniinvasive method. 2. Maxillary ostium obstruction is an important factor to predict outcome of the treatmen

Brain tumour segmentation in MRI using fuzzy deformable fusion model with Dolphin-SCA

It is evident that when the human brain stops functioning for a small period of time, it will lead to death. As a result, dealing with brain disorders should be done early and properly. A brain tumour is one of the most serious brain illnesses. The development of tumours can be detected using Magnetic Resonance Imaging (MRI). However, because an MRI image has loud noise, it can be hard to diagnose a tumour. The diagnosis process is slow, yet illness necessitates prompt and accurate medical attention in order for patients to survive. One of the solutions for tumour diagnosis is to employ MRI brain picture segmentation. In this designed model, MRI of the brain is collected and pre-processed with Non-Local Means (NLM) to reduce noise from captured raw data. This pre-processed image is first segmented with Region of Interest (ROI) for identifying regions of interest and then with a fusion deformable fuzzy system, which combines fuzzy C-means (FCM) and deformable systems. By analyzing the fitness value of α and β constants, segmented pictures from models are fused using the Dolphin Sine Cosine Algorithm (SCA) method to combine the model results. The integrated output from the algorithm is classified with the deep Convolutional Neural Network (CNN) classifier. The created model experimental findings are analyzed and compared to current methodologies. The proposed model performance measures are 0.90, 0.89, 0.88, and 0.10 in terms of selectivity, precision, accuracy and errors. As a result, when compared to previous strategies, the proposed approach outperforms them

Clinicopathological features of the rare form of Creutzfeldt-Jakob disease in R208H-V129V PRNP carrier

Genetic transmissible spongiform encephalopathy (TSE) diseases are always associated with one of the more than 50 disease-associated point or insert mutations of the PrP gene (PRNP) [12] and represent approximately 10 to 20% of all forms of TSE diseases [9]. Each mutation is often associated with specific clinic-pathological phenotype [12] that are generally represented by Creutzfeldt-Jakob disease (CJD) [3, 8], Gerstmann–Sträussler–Scheinker disease or inherited prion protein cerebral amyloidoses [5], and fatal familial insomnia [4]. The methionine/valine polymorphism at codon 129 of PRNP plays also a role in determining the disease phenotype, especially when co-segregates with the pathogenic mutation [3]. Most PRNP mutations responsible for the CJD phenotype, including the R208H, are extremely rare and often there is no evidence of CJD in other family members. In particular, the R208H mutation co-segregates either with methionine or valine at codon 129 and it has been fully described in only 12 patients carrying M129 and 4 patients with V129 [8]. Here, we report clinical and neuropathological details of the fourth worldwide case of CJD carrying the rare R208H-129 Val PRNP genotype with a suggestive positive family history for dementia

Extracorporeal photopheresis for the treatment of graft rejection in 33 adult kidney transplant recipients

Background - Extracorporeal photopheresis (ECP) has shown encouraging results in the prevention of allograft rejection in heart transplantation. However, the role of ECP in kidney transplant (KT) rejection needs to be determined. Methods - This multicentre retrospective study included 33 KT recipients who were treated with ECP for allograft rejection (23 acute antibody-mediated rejections (AMRs), 2 chronic AMRs and 8 acute cellular rejections (ACRs)). The ECP indications were KT rejection in patients who were resistant to standard therapies (n = 18) or in patients for whom standard therapies were contraindicated because of concomitant infections or cancers (n = 15). Results - At 12 months (M12) post-ECP, 11 patients (33%) had a stabilization of kidney function with a graft survival rate of 61%. The Banff AMR score (g + ptc + v) was a risk factor for graft loss at M12 (HR 1.44 [1.01-2.05], p < 0.05). The factorial mixed data analysis identified 2 clusters. Patients with a functional graft at M12 tended to have cellular and/or chronic rejections. Patients with graft loss at M12 tended to have acute rejections and/or AMR; higher serum creatinine levels; DSA levels and histologic scores of AMR; and a longer delay between the rejection and ECP start than those of patients with functional grafts. Conclusions - ECP may be helpful to control ACR or moderate AMR in KT recipients presenting concomitant opportunistic infections or malignancies when it is initiated early