Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Mining Machine Learning Approaches and Medical Diagnose Systems : A Survey

Data mining technology provides a user- oriented approach to novel and hidden patterns in the data. Data mining is a process which finds useful patterns from large amount of data. This technology has been successfully applied in Engineering and Technology, Science, Health Care Systems, Medical Diagnose Systems, Marketing and Finance to assist new discoveries and fortify markets. Some of the organizations have adapted this technology to progress their businesses and found outstanding results. In this paper we discussed a broad overview of some of the data mining techniques, their use in various emerging algorithms and applications. It provides an impression of the development of smart data analysis in medicine from a machine learning irrespective.
The paradox of breastfeeding-associated morbidity among late preterm infants.

OBJECTIVE To synthesize the published research pertaining to breastfeeding establishment and outcomes among late preterm infants and to describe the state of the science on breastfeeding within this population. DATA SOURCES Online databases Ovid MEDLINE, CINAHL, PubMed, and reference lists of reviewed articles. STUDY SELECTION Nine data-based research articles examining breastfeeding patterns and outcomes among infants born between 34 0/7 and 36 6/7 weeks gestation or overlapping with this time period by at least 2 weeks. DATA EXTRACTION Effect sizes and descriptive statistics pertaining to breastfeeding initiation, duration, exclusivity, and health outcomes among late preterm breastfed infants. DATA SYNTHESIS Among late preterm mother/infant dyads, breastfeeding initiation appears to be approximately 59% to 70% (U.S.), whereas the odds of breastfeeding beyond 4 weeks or to the recommended 6 months (exclusive breastfeeding) appears to be significantly less than for term infants, and possibly less than infants ≤34 to 35 weeks gestation. Breastfeeding exclusivity is not routinely reported. Rehospitalization, often related to "jaundice" and "poor feeding," is nearly twice as common among late preterm breastfed infants as breastfed term or nonbreastfed late preterm infants. Barriers to optimal breastfeeding in this population are often inferred from research on younger preterm infants, and evidence-based breastfeeding guidelines are lacking. CONCLUSIONS Late preterm infants are at greater risk for breastfeeding-associated rehospitalization and poor breastfeeding establishment compared to their term (and possibly early preterm) counterparts. Contributing factors have yet to be investigated systematically.
An effective and efficient grid-based data clustering algorithm using intuitive neighbor relationship for data mining

This paper presents a new data clustering technique. It is a new grid-based clustering scheme by intuitive neighbor relationship for enhancing data clustering performance. Compared to other algorithms, this improved grid-based clustering algorithm substantially decreases repetitive clustering checks of neighboring grids and greatly improve the efficiency of data processing. Our simulations demonstrate that the proposed data clustering technique delivers better performance, in terms of clustering correctness rate and noise filtering rate, than perform other well-known existing algorithms, GOD-CS, CLIQUE and TING. To our best knowledge, the proposed data clustering technique may be the rapid method in the world currently.
The art of mathematics retrieval

The design and architecture of MIaS (Math Indexer and Searcher), a system for mathematics retrieval is presented, and design decisions are discussed. We argue for an approach based on Presentation MathML using a similarity of math subformulae. The system was implemented as a math-aware search engine based on the state-of-the-art system Apache Lucene. Scalability issues were checked against more than 400,000 arXiv documents with 158 million mathematical formulae. Almost three billion MathML subformulae were indexed using a Solr-compatible Lucene.
Fully-Connected Neural Network Model of Associative Memory as a Test Function of Evolutionary Computations

We apply genetic algorithms to Hop eld's neural network model of associative memory. Previously, using ternary chromosomes, we successfully evolved both random weight matrix and over-loaded Hebbian weight matrix to function as an associative memory. In this paper, we present a real-encoded genetic algorithm to evolve random synaptic weights to store some number of patterns as associative memory. The goal is to study how can we use the Hop eld model as a test suite for evolutionary computations.
Workspace Awareness without Overload: Contextual Filtering of Social Interactions

At a time when social media revolutionize the exchange of information between users of the Web 2.0, many enterprises are still applying older collaboration paradigms. Following the explosion of blogs and social sharing services on the Internet, some companies are beginning to catch up with these trends, but not all employees are familiar with these new practices which require manual contribution, even though they became usual for Web 2.0 users. Inspired from previous works and currents trends in Social Networking and Context-Awareness, we propose the iterative development of an experimental framework for contextual sharing and filtering of social updates. The intension is to trigger more opportunities for communication in a collaborative environment, while preventing information overload. In this paper, we present some preliminary results on synthetizing contextual clouds reflecting current working activity of users, based on the extraction of descriptive tags from web documents that they are currently accessing.
A Comprehensive Framework for Architecture Evaluation

Experience and research have shown that the choice of appropriate architectures in the e arly design phases of software-intensive systems has a determinant impact on many of the crucia l qualities of such systems, e.g., maintainability, efficiency, reusability. In addition, early wrong decisions duri g architectural design are in general difficult and costly to change during subsequent stages of development. Furthermore, during software acquisition processes (e.g., outsourced development) , it is important to assess the extent to which the software acquired will be appropriate. For example, it is frequently important to know how easily software will accommodate likely requirement s changes in the future. In large scale software systems qualities such as maintainability ar e primarily determined by architectural decisions. Therefore, it is important to devise a method to assess a rchitectural designs at various levels of detail and during various stages of development, and particularly to design a me thod that will give insight into architectural design decisions in the early stages of a proj ect.
Lateral path following GPS-based control of a small-size unmanned blimp

This paper presents recent automatic control developments of the airship robot Karma of LAAS-CNRS. More precisely, it focuses on the lateral control strategy which is based on the decoupled dynamics. Using an external control loop to stabilize the longitudinal dynamics, a path following controller is proposed for driving the robot within the horizontal plane. The proposed strategy allows to consider the lateral slippage inherent in the blimp's dynamics.
Irritable bowel syndrome prevalence in city center of Sivas.

BACKGROUND/AIMS We planned to determine irritable bowel syndrome prevalence in our region with its distribution according to clinical characteristics of patients and the factors which are considered to be related with irritable bowel syndrome. METHODS 998 of 1250 individuals (mean age 38.99+0.44) replied to our questionnaire including Rome II criteria. RESULTS We found the irritable bowel syndrome prevalence in the city center of Sivas to be 19.1%. Distribution of irritable bowel syndrome (+) patients age groups showed no significant difference but irritable bowel syndrome was significantly more common in females. The most common occupation showing irritable bowel syndrome positivity was workers. Irritable bowel syndrome prevalence was also significantly higher in persons not eating three regular meals per day. There was a significantly positive correlation between irritable bowel syndrome prevalence and psychological events, previous abdominal operations and infections. A change in bowel habitus was observed in 41.8% of irritable bowel syndrome patients, and the most common change was constipation. 39.8% of the irritable bowel syndrome patients had applied to the doctor, most often to doctors of internal medicine. We found the irritable bowel syndrome prevalence not to be related with educational status, smoking, daily tea and coffee consumption, alcohol intake, menstrual periods or weight loss. CONCLUSION Irritable bowel syndrome prevalence in our region with its demographic characteristics was similar to the results seen in western countries.
Teachers’ Perceptions of Bullying: A Focus Group Approach

The current qualitative study used a focus group approach to examine teachers’ perceptions of student aggressors and victims. Participants in the current study included 35 teachers from public elementary, middle, and high schools. Teachers’ responses to five questions about risk factors for aggression and victimization, adaptive and maladaptive coping strategies, and advice for victimized youth were analyzed using thematic analysis. Teachers frequently identified family factors as a risk factor for becoming an aggressor. Appearance-based factors, shyness, and emotional reactivity were commonly mentioned as risk factors for victimization. Teachers believed that strong displays of emotions, physical retaliation, and ignoring the situation were ineffective means for victims to respond to peer aggression. Reporting the aggression to an adult, appropriately standing up for oneself, and seeking support from friends were viewed as more effective strategies for responding to peer victimization. Directions for future research and implications for intervention are discussed.
Cluster Headache: Cardiovascular Responses to Head‐up Tilt

Head‐up tilt tests were performed in six cluster headache patients in a bout of attacks, but in a pain‐free interval at the time of investigation; and in eleven controls matched for age, basal blood pressure, and heart rate. A Doppler servomethod was used for a noninvasive, beat‐to‐beat blood pressure determination. There were no significant differences between the cluster headache and control groups for heart rate and systolic blood pressure response to the head‐up tilt. However, the average diastolic blood pressure seemed to drop more after the tilt in the cluster headache group than in the control group; in particular, in the later part of the test. This might suggest a dysfunction of the baroreflex in cluster headache patients in a bout, also outside of attacks, and most probably of the sympathetically‐mediated vasomotor response.
Two Dimensions of Self-Esteem: Reciprocal Effects of Positive Self-Worth and Self-Deprecation on Adolescent Problems

The presumed relationship between adolescent's self-esteem and the occurrence of social problems is a recurring theme in academic and public discourse. Evidence for this relationship is limited by an overreliance on global measures of self-esteem that combine positive and negative self-evaluations in a single measure. My study uses this prior research on the relationship of global measures of self-esteem to adolescent social problems as a comparative reference point for an analysis of the link between negative and positive self-worth and youth problems. Using nonrecursive linear structural equation models and data from the Youth in Transition study, I compare the reciprocal interrelations of self-deprecation (negative self-evaluations), positive self-worth (positive selfevaluations), and global self-esteem (which includes both positive and negative evaluations) on high school grades, depression, and delinquency. Ifind that when self-deprecation and positive self-worth measures are employed, nuances are revealed that were previously overlooked in studies relying exclusively on global self-esteem. For example, I find a powerful reciprocal causal relationship between self-deprecation and depression and an effect of self-deprecation and positive self-worth on grades in school. These findings encourage theoretical developments of a bidimensional construct to measure selfesteem that includes, in particular, self-deprecation.
Group recommendation algorithms for requirements prioritization

Group recommendation is successfully applied in different domains such as Interactive Television, Ambient Intelligence, and e-Tourism. The focus of this paper is to analyze the applicability of group recommendation to requirements prioritization. We provide an overview of relevant group recommendation heuristics and report the results of an empirical study which focused on the analysis of the prediction quality of these heuristics.
Cell-Type-Specific Responses to Chemotherapeutics in Breast Cancer

Recent microarray studies have identified distinct subtypes of breast tumors that arise from different cell types and that show statistically significant differences in patient outcome. To gain insight into these differences, we identified in vitro and in vivo changes in gene expression induced by chemotherapeutics. We treated two cell lines derived from basal epithelium (immortalized human mammary epithelial cells) and two lines derived from luminal epithelium (MCF-7 and ZR-75–1) with chemotherapeutics used in the treatment of breast cancer and assayed for changes in gene expression using DNA microarrays. Treatment doses for doxorubicin and 5-fluorouracil were selected to cause comparable cytotoxicity across all four cell lines. The dominant expression response in each of the cell lines was a general stress response; however, distinct expression patterns were observed. Both cell types induced DNA damage-response genes such as p21waf1, but the response in the luminal cells showed higher fold changes and included more p53-regulated genes. Luminal cell lines repressed a large number of cell cycle-regulated genes and other genes involved in cellular proliferation, whereas the basal cell lines did not. Instead, the basal cell lines repressed genes that were involved in differentiation. These in vitro responses were compared with expression responses in breast tumors sampled before and after treatment with doxorubicin or 5-fluorouracil/mitomycin C. The in vivo data corroborated the cell-type-specific responses to chemotherapeutics observed in vitro, including the induction of p21waf1. Similarities between in vivo and in vitro responses help to identify important response mechanisms to chemotherapeutics.
Multi-Optimization power management for chip multiprocessors

The emergence of power as a first-class design constraint has fueled the proposal of a growing number of run-time power optimizations. Many of these optimizations trade-off power saving opportunity for a variable performance loss which depends on application characteristics and program phase. Furthermore, the potential benefits of these optimizations are sometimes non-additive, and it can be difficult to identify which combinations of these optimizations to apply. Trial-and-error approaches have been proposed to adaptively tune a processor. However, in a chip multiprocessor, the cost of individually configuring each core under a wide range of optimizations would be prohibitive under simple trial-and-error approaches. In this work, we introduce an adaptive, multi-optimization power saving strategy for multi-core power management. Specifically, we solve the problem of meeting a global chip-wide power budget through run-time adaptation of highly configurable processor cores. Our approach applies analytic modeling to reduce exploration time and decrease the reliance on trial-and-error methods. We also introduce risk evaluation to balance the benefit of various power saving optimizations versus the potential performance loss. Overall, we find that our approach can significantly reduce processor power consumption compared to alternative optimization strategies.
Skin test reactions to Mycobacterium tuberculosis purified protein derivative and Mycobacterium avium sensitin among health care workers and medical students in the United States.

SETTING Health care workers and medical students in the United States subject to annual tuberculin skin testing. OBJECTIVE To use skin testing with Mycobacterium avium sensitin (MAS) to determine contemporary rates of infection with non-tuberculous mycobacteria (NTM) and their effect on reactions to M. tuberculosis purified protein derivative (PPD). DESIGN Dual skin testing was performed with PPD and MAS on 784 health care workers and medical students in the northern and southern US. MAS reactions that were > or = 5 mm and also > or = 3 mm larger than the PPD reaction were defined as MAS dominant and due to NTM. RESULTS MAS reactions were > or = 5 mm in 40% and > or = 15 mm in 18% of subjects; 95% were MAS dominant. MAS dominant reactions were more common in the south than the north (P < 0.001). PPD reactions were > or = 15 mm in 3% of subjects. PPD reactions > or = 15 mm were more common among males, foreign born subjects and subjects with BCG immunization (all P < 0.001). MAS dominant reactions were found in 82% of subjects with 5-9 mm PPD reactions and 50% with 10-14 mm PPD reactions; these reactions were more common among whites (P = 0.046), US-born (P = 0.038) and subjects without BCG immunization (P = 0.004). CONCLUSIONS Infections with NTM are responsible for the majority of 5-14 mm PPD reactions among US-born health care workers and medical students subject to annual tuberculin testing.
Parallel Experiments with RARE-BLAS

Numerical reproducibility failures rise in parallel computation because of the non-associativity of floating-point summation. Optimizations on massively parallel systems dynamically modify the floating-point operation order. Hence, numerical results may change from one run to another. We propose to ensure reproducibility by extending as far as possible the IEEE-754 correct rounding property to larger operation sequences. Our RARE-BLAS (Reproducible, Accurately Rounded and Efficient BLAS) benefits from recent accurate and efficient summation algorithms. Solutions for level 1 (asum, dot and nrm2) and level 2 (gemv) routines are provided. We compare their performance to the Intel MKL library and to other existing reproducible algorithms. For both shared and distributed memory parallel systems, we exhibit an extra-cost of 2× in the worst case scenario, which is satisfying for a wide range of applications. For Intel Xeon Phi accelerator a larger extra-cost (4× to 6×) is observed, which is still helpful at least for debugging and validation.
Stability and validity of memory-based subtypes of schizophrenia

This study assessed whether verbal memory performance indexed by the California Verbal Learning Test (CVLT) can organize and reduce the heterogeneity of schizophrenia. The temporal stability, cognitive and clinical validity of: (a) a putatively cortical-subcortical-normative typology derived from dementia patients' scores on the CVLT and (b) a memory performance dichotomy based on a psychometric criterion and 1 CVLT summary score were evaluated. These memory subtypes were examined in 102 schizophrenia patients, 55 of whom were assessed again 3 years later. The results indicate that both methods yield potentially valuable illness distinctions on a cross-sectional basis, but fail to show truly trait-like properties. Furthermore, the evidence favors the validity of a parsimonious dichotomy over a more complex dementia-based typology. (JINS, 2006, 12, 782–791.)
Collision-induced dissociation of ring-opened cyclic depsipeptides with a guanidino group by electrospray ionization/ion trap mass spectrometry.

The characteristics shown in the electrospray ionization/ion trap mass spectra of ring-opened LI-F antibiotics (cyclic depsihexapeptides with a 15-guanidino-3-hydroxypentadecanoic group as a side-chain) were examined. Collision-induced dissociation (CID) MS of protonated molecules of the depsipeptides produced many fragment ions. Most of these fragment ions contained information for determining the amino acid sequences of antifungal antibiotics. The fragment ions were classified into six groups (b(n'), B(n'), B'(n'), beta(n'), y(n) and Y(n)). According to MS(3) spectra, the B(n'), B'(n) and beta(n) ions can be considered to be derived with a cleavage at each CO--NH in the peptide bonds of [MH--NH(3)](+),[MH--NH(3)--OH](+) and [MH--NH(3)--2H(2)O](+), respectively, in ion trap MS. Losses of NH(3) and H(2)O from the amino acid residues of the depsipeptides in ion trap MS are likely to be smaller than those from the side-chain. The measurements with electrospray ionization (ESI)/ion trap MS of depsipeptides with a side chain containing polar groups may provide useful information for structural determination.
Tamoxifen Initiation After Ductal Carcinoma In Situ

In this study, which evaluated endocrine therapy use after ductal carcinoma in situ (DCIS) over a 15-year period, 163 of 727 women with a DCIS diagnosis (22%) initiated endocrine therapy. Age, surgery, and radiation were the primary factors in initiation, but increased estrogen receptor testing has not resulted in corresponding increases in endocrine therapy.
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training

Highly distributed training of Deep Neural Networks (DNNs) on future compute platforms (offering 100 of TeraOps/s of computational capacity) is expected to be severely communication constrained. To overcome this limitation, new gradient compression techniques are needed that are computationally friendly, applicable to a wide variety of layers seen in Deep Neural Networks and adaptable to variations in network architectures as well as their hyper-parameters. In this paper we introduce a novel technique - the Adaptive Residual Gradient Compression (AdaComp) scheme. AdaComp is based on localized selection of gradient residues and automatically tunes the compression rate depending on local activity. We show excellent results on a wide spectrum of state of the art Deep Learning models in multiple domains (vision, speech, language), datasets (MNIST, CIFAR10, ImageNet, BN50, Shakespeare), optimizers (SGD with momentum, Adam) and network parameters (number of learners, minibatch-size etc.). Exploiting both sparsity and quantization, we demonstrate end-to-end compression rates of ∼200× for fully-connected and recurrent layers, and ∼40× for convolutional layers, without any noticeable degradation in model accuracies.
Change detection in polarimetric SAR data and the complex Wishart distribution

When working with multi-look fully polarimetric synthetic aperture radar (SAR) data an appropriate way of representing the backscattered signal consists of the so-called covariance matrix. For each pixel this is a 3/spl times/3 Hermitian, positive definite matrix which follows a complex Wishart distribution. Based on this distribution a test statistic for equality of two such matrices and an associated asymptotic probability for obtaining a smaller value of the test statistic are given and applied to change detection in polarimetric SAR data. In a case study EMISAR L-band data from 17 April 1998 and 20 May 1998 covering agricultural fields near Foulum, Denmark are used. The derived test statistic can be applied as a line or edge detector in fully polarimetric SAR data also.