Miracle-dz/UniFAR-FTUs huggingface dataset:
Privacy-Preserving Clinical Decision Support System Using Gaussian Kernel-Based Classification

A clinical decision support system forms a critical capability to link health observations with health knowledge to influence choices by clinicians for improved healthcare. Recent trends toward remote outsourcing can be exploited to provide efficient and accurate clinical decision support in healthcare. In this scenario, clinicians can use the health knowledge located in remote servers via the Internet to diagnose their patients. However, the fact that these servers are third party and therefore potentially not fully trusted raises possible privacy concerns. In this paper, we propose a novel privacy-preserving protocol for a clinical decision support system where the patients' data always remain in an encrypted form during the diagnosis process. Hence, the server involved in the diagnosis process is not able to learn any extra knowledge about the patient's data and results. Our experimental results on popular medical datasets from UCI-database demonstrate that the accuracy of the proposed protocol is up to 97.21% and the privacy of patient data is not compromised.
Syntactic and Semantic GDB Conceptual Schemas Integration

This paper presents an architecture and a methodology to integrate GDB conceptual schemas with the goal to enable the reuse as well as the interchange of them or part of them. The integration is separated in two levels. The syntactic integration consists on transforming the conceptual schemas representation to a canonical format, the GML 3.0. After that the semantic integration is performed, presenting an algorithm to solve the semantic heterogeneities between the components of the conceptual schemas. This algorithm is based on an ontology and on the application of some similarity matching formulas.
Quantification of the effect of water exchange in dynamic contrast MRI perfusion measurements in the brain and heart

Measurement of myocardial and brain perfusion when using exogenous contrast agents (CAs) such as gadolinium‐DTPA (Gd‐DTPA) and MRI is affected by the diffusion of water between compartments. This water exchange may have an impact on signal enhancement, or, equivalently, on the longitudinal relaxation rate, and could therefore cause a systematic error in the calculation of perfusion (F) or the perfusion‐related parameter, the unidirectional influx constant over the capillary membranes (Ki). The aim of this study was to quantify the effect of water exchange on estimated perfusion (F or Ki) by using a realistic simulation. These results were verified by in vivo studies of the heart and brain in humans. The conclusion is that water exchange between the vascular and extravascular extracellular space has no effect on Ki estimation in the myocardium when a normal dose of Gd‐DTPA is used. Water exchange can have a significant effect on perfusion estimation (F) in the brain when using Gd‐DTPA, where it acts as an intravascular contrast agent. Magn Reson Med 46:272–281, 2001. © 2001 Wiley‐Liss, Inc.
Supplier switching and outsourcing

We examine supplier switching decisions using a unique database that tracks firms (credit unions) and their suppliers (data processing vendors); the data are in a panel, allowing us to track supplier switching decisions at a new level of detail. We focus on two sets of relationships. First, we estimate a model that relates supplier choices and switching to a variety of buyer- and supplier-specific characteristics. Second, we examine how> switching depends on the vendor relationships that credit unions choose: one is a partial form of outsourcing while the other is more complete. This allows us to estimate how supplier switching interacts with organizational form.
Genetic relatedness of the caliciviruses: San Miguel sea lion and vesicular exanthema of swine viruses constitute a single genotype within the Caliciviridae

The San Miguel sea lion viruses (SMSV) and vesicular exanthema of swine viruses (VESV) are related morphologically and antigenically, but little has been done to determine their genotypic relationship to each other and to other caliciviruses. To examine this relationship, reverse transcriptase PCRs were performed by using oligonucleotide primer sets designed to amplify portions of the 2C RNA helicase-like and RNA-dependent RNA polymerase regions with total cellular RNA purified from virus-infected cell cultures as a template. The 2C RNA helicase primers directed the amplification of this region from eight SMSV serotypes, five VESV serotypes, and four related viruses. The RNA polymerase primer sets amplified products from all these viruses except one. Phylogenetic comparison of the caliciviruses demonstrated that SMSV, VESV, and four related viruses are closely related while being distinct from feline calicivirus, the human caliciviruses (small, round-structured viruses), and rabbit hemorrhagic disease virus and that they should be classified as a single genotype within the Caliciviridae.
Jitter-Minimized Reliability-Maximized Joint Optimization Quality-of-Service Routing for GPS Networks

We propose a joint optimization framework for quality-of-service (QoS) routing with resource allocation in a generalized processor sharing (GPS) network. Our joint optimization framework provides a convenient way of maximizing the reliability or minimizing the jitter delay of paths. Data traffic is sensitive to droppage at buffers while it can tolerate jitter delay. On the other hand multimedia traffic can tolerate loss but it is very sensitive to jitter delay. Depending on the type of data, our scheme provides a convenient way of selecting the parameters which result in either reliabilty maximization or jitter minimization. We solve the optimization problem for a GPS network and provide the optimal solutions. We find the values of control parameters which control the type of optimization performed. We use our analytical results in multi-objective QoS routing algorithm. In the end we provide insights into our optimization framework using simulations. Index Terms Jitter, Reliability, Generalized Processor Sharing, Quality-of-Service.
FPGA-Based Motion Control IC for Linear Motor Drive X-Y Table Using Adaptive Fuzzy Control

© 2012 Kung et al., licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. FPGA-Based Motion Control IC for Linear Motor Drive X-Y Table Using Adaptive Fuzzy Control
Biological Crystallography an Introduction to Data Reduction: Space-group Determination, Scaling and Intensity Statistics

This paper presents an overview of how to run the CCP4 programs for data reduction (SCALA, POINTLESS and CTRUNCATE) through the CCP4 graphical interface ccp4i and points out some issues that need to be considered, together with a few examples. It covers determination of the point-group symmetry of the diffraction data (the Laue group), which is required for the subsequent scaling step, examination of systematic absences, which in many cases will allow inference of the space group, putting multiple data sets on a common indexing system when there are alternatives, the scaling step itself, which produces a large set of data-quality indicators, estimation of |F | from intensity and finally examination of intensity statistics to detect crystal pathologies such as twinning. An appendix outlines the scoring schemes used by the program POINTLESS to assign probabilities to possible Laue and space groups.
A Three-Level Annotation Scenario

The availability of annotated data (with as rich and “deep” annotation as possible) is desirable in any new developments. Textual data are being used for so-called training phase of various empirical methods solving various problems in the field of computational linguistics. While there are many methods that use texts in their plain (or raw) form (in most cases for so-called unsupervised training), more accurate results may be obtained if annotated corpora are available. The data annotation itself is a complex task. While morphologically annotated corpora (pioneered by Henry Kučera in the 60’s) are now available for English and other languages, syntactically annotated corpora are rare. Inspired by the Penn Treebank, the most widely used syntactically annotated corpus of English, we decided to develop a similarly sized corpus of Czech with a rich annotation scheme.
Using Taxonomies to Facilitate the Analysis of the Association Rules

The Data Mining process enables the end users to analyze, understand and use the extracted knowledge in an intelligent system or to support in the decision-making processes. However, many algorithms used in the process encounter large quantities of patterns, complicating the analysis of the patterns. This fact occurs with association rules, a Data Mining technique that tries to identify intrinsic patterns in large data sets. A method that can help the analysis of the association rules is the use of taxonomies in the step of post-processing knowledge. In this paper, the GART algorithm is proposed, which uses taxonomies to generalize association rules, and the RulEE-GAR computational module, that enables the analysis of the generalized rules.
A cumulant-based method for gait identification using accelerometer data with principal component analysis and support vector machine

In this paper a cumulant-based method for identification of gait using accelerometer data is presented. Acceleration data of three different walking speeds (slow, normal and fast) for each subject was acquired by the accelerometer embedded in cell phone which was attached to the person's hip. Data analysis was based on gait cycles that were detected first. Cumulants of order from 1 to 4 with different number of lags were calculated. Feature vectors for classification were built using dimension reduction on calculated cumulants by principal component analysis (PCA). The classification was accomplished by support vector machines (SVM) with radial basis kernel. According to portion of variance covered in the calculated principal components, different lengths of feature vectors were tested. Six healthy young subjects participated in the experiment. The average person recognition rate based on gait classification was 90.3±3.2%. A similarity measure for discerning different walking types of the same subject was also introduced using dimension reduction on accelerometer data by PCA.
Spam classification using supervised learning techniques

Spam message is one of the major problems in today's Internet, which brings financial damage to companies and annoying individual users. Spam filtering is able to control the problem in a variety of ways. Many researches in spam filtering have been centered on the classifier-related issues. Currently, machine learning for spam classification is an important research issue at present. This paper explores and identifies the use of different machine learning algorithms for classifying spam messages from e-mail. Finally, a comparative analysis among the algorithms has also been presented with spam classification.
Predicting Temporal Fluctuations in an Intracellular Signalling Pathway

We used a newly developed stochastic-based program to predict the fluctuations in numbers of molecules in a chemotactic signalling pathway of coliform bacteria. Specifically, we examined temporal changes in molecules of CheYp, a cytoplasmic protein known to influence the direction of rotation of the flagellar motor. Signalling molecules in the vicinity of a flagellar motor were represented as individual software objects interacting according to probabilities derived from experimentally-observed concentrations and rate constants. The simulated CheYp molecules were found to undergo random fluctuations in number about an average corresponding to the deterministically calculated concentration. Both the relative amplitude of the fluctuations, as a proportion of the total number of molecules, and their average duration, increased as the simulated volume was reduced. In a simulation corresponding to 10% of the volume of a bacterium, the average duration of fluctuations was found to be 80.7 ms, which is much shorter than the observed alternations between clockwise and counter clockwise rotations of tethered bacteria (typically 2.6 s). Our results are therefore not in agreement with a simple threshold-crossing model for motor switching. However, it is possible to filter the CheYp fluctuations to produce temporal distributions closer to the observed swimming behaviour and we discuss the possible implications for the control of motor rotation. 7 1998 Academic Press Limited
Gestational Age Patterns of Fetal and Neonatal Mortality in Europe: Results from the Euro-Peristat Project

Background The first European Perinatal Health Report showed wide variability between European countries in fetal (2.6–9.1‰) and neonatal (1.6–5.7‰) mortality rates in 2004. We investigated gestational age patterns of fetal and neonatal mortality to improve our understanding of the differences between countries with low and high mortality. Methodology/Principal Findings Data on 29 countries/regions participating in the Euro-Peristat project were analyzed. Most European countries had no limits for the registration of live births, but substantial variations in limits for registration of stillbirths before 28 weeks of gestation existed. Country rankings changed markedly after excluding deaths most likely to be affected by registration differences (22–23 weeks for neonatal mortality and 22–27 weeks for fetal mortality). Countries with high fetal mortality ≥28 weeks had on average higher proportions of fetal deaths at and near term (≥37 weeks), while proportions of fetal deaths at earlier gestational ages (28–31 and 32–36 weeks) were higher in low fetal mortality countries. Countries with high neonatal mortality rates ≥24 weeks, all new member states of the European Union, had high gestational age-specific neonatal mortality rates for all gestational-age subgroups; they also had high fetal mortality, as well as high early and late neonatal mortality. In contrast, other countries with similar levels of neonatal mortality had varying levels of fetal mortality, and among these countries early and late neonatal mortality were negatively correlated. Conclusions For valid European comparisons, all countries should register births and deaths from at least 22 weeks of gestation and should be able to distinguish late terminations of pregnancy from stillbirths. After excluding deaths most likely to be influenced by existing registration differences, important variations in both levels and patterns of fetal and neonatal mortality rates were found. These disparities raise questions for future research about the effectiveness of medical policies and care in European countries.
In vivo human choroidal vascular pattern visualization using high-speed swept-source optical coherence tomography at 1060 nm.

PURPOSE To investigate the retinal and choroidal vascular pattern, structure, and thickness using high-speed, high axial resolution, swept-source optical coherence tomography (SS-OCT) at 1060 nm, demonstrating enhanced penetration through all choroidal layers. METHODS An ophthalmic SS-OCT system was developed operating at 57,000 A-lines/s with 5.9 μm axial resolution and was used to collect 3D images with scanning angles up to ∼70° × 35°. The similar features were observed in the choroidal layers by imaging three healthy volunteers. En face images, extracted at different depths, capture features of the retinal and choroidal vasculature networks and substructure. Retinal and choroidal thicknesses were measured over scanning angles of ∼14° × 14°, yielding retinal and choroidal thickness maps. RESULTS The retinal layers, choriocapillaris (CC), Sattler's layer (SL), Haller's layer (HL), and the lamina suprachoroid layer (LSL) were delineated in 2D sagittal tomograms. The sagittal tomograms and en face reflectance images over a 2-cm(2) field of view captured the paraoptic, lateral and medial distal short posterior ciliary artery (SPCA) branches as well as the two lateral and medial long posterior ciliary arteries (LPCAs). En face images in the HL revealed the superotemporal, inferotemporal, superonasal, and inferonasal major choroidal vessels. CONCLUSIONS High-speed, high-resolution SS-OCT centered at 1060 nm enables retinal and choroidal vasculature networks visualization, including retina vessels, posterior ciliary artery (PCA) branches, and venous vascular patterns. This technology offers diagnostic opportunities by monitoring change in these networks, substructure, and retinal and choroidal thicknesses during disease initiation and progression.
A Recommendation Service Model in Copyright Management Portal System for National Research Reports

To manage the copyrights of national research reports in Korea, a copyright management portal system is designed and is developing. In the portal system, recommendation service becomes an essential component to serve convenience to users. However, it is hard to develop recommendation service for research reports in the portal differently from other fields, because it is difficult to collect the dynamic information of users and national research reports. In this paper, we suggest improved recommendation service model which uses the log records of user against research reports in copyright management portal system. In result of questionnaire for 50 graduate students, the accuracy of recommended papers seems to be satisfied widely. Also, they answered it is expected that this recommendation service will save the amount of time they have spent researching by half.
Fool's Gold: Social Proof in the Initiation and Abandonment of Coverage by Wall Street Analysts

This paper examines the dynamics of social influence in the choices of securities analysts to initiate and abandon coverage of firms listed on the NASDAQ national market. We show that social proof—using the actions of others to infer the value of a course of action—creates information cascades in which decision makers initiate coverage of a firm when peers have recently begun coverage. Analysts that initiate coverage of a firm in the wake of a cascade are particularly prone to overestimating the firm's future profitability, however, and they are subsequently more likely than other analysts to abandon coverage of the firm. We thus find evidence for a cycle of imitation-driven choice followed by disappointment and abandonment. Our account suggests that institutionalization rooted in imitation is likely to be fragile.
The Concept of “Metaemotion”: What is There to Learn From Research on Metacognition?

We first present a selection of vignette examples from empirical psychological research to illustrate how the phenomenon of metaemotion (Gottman, Katz, & Hooven, 1996; Mendonça, 2013) is studied within different domains of psychology. We then present a theoretical distinction which has been made between three facets of metacognition, namely metacognitive experiences, metacognitive knowledge, and metacognitive strategies (e.g., Efklides, 2008; Flavell, 1979). Referring back to the vignette examples from metaemotion research, we argue that a similar distinction can be drawn between three facets of metaemotion, namely metaemotional experiences, metaemotional knowledge, and metaemotional strategies. We argue that this distinction clarifies some of the unresolved issues in metaemotion research, and therefore has important implications for the study of metaemotion, both methodologically and theoretically.
Video Retrieval based on Patterns of Oriented Edge Magnitude

In this work, a video retrieval system is proposed based on POEM (Patterns of Oriented Edge Magnitudes) descriptor. In the first stage, the input video is partitioned into shots based on Gabor moments and keyframes are selected from each shot based on Temporally Maximum Occurrence Frame (TMOF). In the next stage, the POEM descriptor is computed from each keyframe for robust image/frame representation. Given a query frame, the descriptor is obtained from it in a similar manner, and this descriptor is compared with the descriptors of the video keyframes using nearest neighbour matching technique to find the matching keyframe. We have conducted experiments on the TRECVID video segments to exhibit the superiority of the proposed approach for video retrieval applications.
Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review

Automatic diagnosis of the Sleep Apnea-Hypopnea Syndrome (SAHS) has become an important area of research due to the growing interest in the field of sleep medicine and the costs associated with its manual diagnosis. The increment and heterogeneity of the different techniques, however, make it somewhat difficult to adequately follow the recent developments. A literature review within the area of computer-assisted diagnosis of SAHS has been performed comprising the last 15 years of research in the field. Screening approaches, methods for the detection and classification of respiratory events, comprehensive diagnostic systems, and an outline of current commercial approaches are reviewed. An overview of the different methods is presented together with validation analysis and critical discussion of the current state of the art.
Acquaint based grid clustering algorithm for Underwater wireless sensor network

Underwater wireless sensor network (UWSN) is an important emerging research area in wide range of application, unlike the terrestrial network it uses the acoustic signal which has a unique characteristics like limited bandwidth, high and variable propagation delay, transmit energy, minimum network lifetime and so on. This paper proposes an efficient clustering algorithm having 3D-GRID network architecture and it uses limited control information for data gathering to improve the energy efficiency of the network. The GRID clustering method supports 3D deployment based on geographical location of the sensors which has cluster heads (CH) and non cluster heads (NCH). All the cluster heads are present in the center of the network and all the non-cluster head nodes are in minimum distance to the cluster head. This network structure helps to avoid the control packets for intra communication. For inter communication the CH data packet contains the control packet for route establishment and data transmission. Thus this technique reduce the usage of energy while communication and improve the lifetime of the network.
Comorbidities of Psoriasis - Exploring the Links by Network Approach

Increasing epidemiological studies in patients with psoriasis report the frequent occurrence of one or more associated disorders. Psoriasis is associated with multiple comorbidities including autoimmune disease, neurological disorders, cardiometabolic diseases and inflammatory-bowel disease. An integrated system biology approach is utilized to decipher the molecular alliance of psoriasis with its comorbidities. An unbiased integrative network medicine methodology is adopted for the investigation of diseasome, biological process and pathways of five most common psoriasis associated comorbidities. A significant overlap was observed between genes acting in similar direction in psoriasis and its comorbidities proving the mandatory occurrence of either one of its comorbidities. The biological processes involved in inflammatory response and cell signaling formed a common basis between psoriasis and its associated comorbidities. The pathway analysis revealed the presence of few common pathways such as angiogenesis and few uncommon pathways which includes CCKR signaling map and gonadotrophin-realising hormone receptor pathway overlapping in all the comorbidities. The work shed light on few common genes and pathways that were previously overlooked. These fruitful targets may serve as a starting point for diagnosis and/or treatment of psoriasis comorbidities. The current research provides an evidence for the existence of shared component hypothesis between psoriasis and its comorbidities.