Miracle-dz/UniFAR-FTUs huggingface dataset:
Ovarian Cancer Identification using One-Pass Clustering and k-Nearest Neighbors

The identification of ovarian cancer using protein expression profile (SELDI-TOF-MS) is important to assists early detection of ovarian cancer. The chance to save patient’s life is greater when ovarian cancer is detected at an early stage. However, the analysis of protein expression profile is challenging because it has very high dimensional features and noisy characteristic. In order to tackle those difficulties, a novel ovarian cancer identification model is proposed in this study. The model comprises of One-Pass Clustering and k-Nearest Neighbors Classifier. With simple and efficient computation, the performance of the model achieves Accuracy about 97%. This result shows that the model is promising for Ovarian Cancer identification.
A Web-based Course in Grammar Formalisms and Parsing

This electronic course book is an introduction to the development of grammars, based on a constraint-based grammar formalism, Head-driven Phrase Structure Grammar (HPSG). Special emphasis is placed on the combining of several topics in the field of HPSG, which are usually treated separately. These topics are the practical development of grammar fragments, linguistic theory formation, modern programming methods, mathematical foundations of constraintbased grammar frameworks and the implementation of linguistic theories with the methods of computational linguistics. An integrated study of these seemingly heterogeneous issues will provide new perspectives and will lead to a better understanding of how they are related. The mathematical foundations of constraint based grammar formalisms are presented in the format of interactive teaching software. This course is an instance of the paradigm of web based training. This means that students of this course are expected to work through the lessons on their own, using the educational software provided by the course. They should regularly work through exercises on their computers, which will help them to check their progress. Communication with lecturers and among students takes place on an electronic learning platform. However, the course materials can also be used in a traditional classroom setting or for self-study. This course uses the interactive web based instructive software MorphMoulder (MoMo) to teach the formal foundations of HPSG, and the grammar development environment TRALE for grammar implementation. These software tools were created, or significantly extended, within the framework of the MiLCAConsortium located at the Seminar für Sprachwissenschaft in Tübingen, in collaboration with Professor Detmar Meurers from Ohio State University and Professor Gerald Penn from the University of Toronto. In this seminar we will take a closer look at the constraint-based grammar framework of HPSG from at least three significantly different perspectives. At the beginning of the course, we will study the mathematical structure of HPSG grammars. What is an HPSG grammar from a formal point of view, and what is the meaning of an HPSG grammar? Then our task will be to write grammars of natural languages in the HPSG formalism, and to do that, we will have to review a few basic linguistic notions which will be treated
CNN based visual processing for industrial inspection

Many industrial inspection such visual quality control of metal laminates require billions of operations per second. Analog CNN array computer arises as an alternative to traditional digital processors, capable of make in a single chip Tera equivalent operations per second. A 4096 analog CNN processor array is able to perform complex space-time image analysis, being much faster than a camera-computer system in continuous inspection applications. Both chips have been implemented in CMOS technology and they are managed by a 32- bit high-performance low-cost micro-controller that closes the pan, tilt, lighting, focus and zoom loops required in the implementation of the active vision strategies. Several convolution masks for the Cellular Processors has been selected to detect particular changes in the texture, size, direction or orientation of the image entities, reprogramming 'on the fly' the pixel resolution or shape when necessary. Laboratory results present these Cellular Processors and multiple resolution imager circuits as a promising architecture for visual inspection of industrial processes in real time.
Data Mining in Petroleum Upstream ——The Use of Regression and Classification Algorithms

Data mining (DM) technique has seen enormous successes in some fields, but its application to petroleum upstream (PUP) is still at initial stage, as PUP is quite different from the other fields in many aspects. The most popular DM algorithms in PUP are regression and classification. Through many DM applications to PUP, we have found that: a) the preferable algorithm for regression is back-propagation neural network (BPNN), the next are regression of support vector machine (R-SVM) and multiple regression analysis (MRA), and the preferable algorithm for classification is classification of support vector machine (C-SVM), the next is Bayesian successive discrimination (BAYSD); b) C-SVM can also be applied in data cleaning; c) both MRA and BAYSD can also be applied in dimension-reduction, and BAYSD is preferable one; d) R-mode cluster analysis (RCA) can be applied in dimension-reduction, while Q-mode cluster analysis (QCA) can be applied in sample-reduction. A case study in PUP indicates that R-SVM, BPNN and MRA are not applicable for regression, whereas C-SVM is applicable for classification in this case.
Indications et résultats de la chirurgie de résection des bulles d’emphysème pulmonaire

La chirurgie d'exérèse des bulles ou bullectomie, principal moyen thérapeutique dans la prise en charge des bulles d'emphysème pulmonaire, est généralement réservée aux patients dont les bulles sont compliquées ou, sont à l'origine d'une dyspnée invalidante. Le but de notre étude était de déterminer les indications de la bullectomie et d'évaluer les résultats de cette chirurgie dans notre service. Nous avons mené une étude rétrospective descriptive de 24 patients (23 hommes et 1 femme), dont la moyenne d'âge était de 49 ans, et qui ont bénéficié d'une bullectomie entre 2004 et 2013. Les données recueillies étaient les facteurs favorisant la survenue d'un emphysème bulleux, les circonstances de découverte de la bulle, les données des examens radiologiques, les données de l'évaluation fonctionnelle respiratoire et cardiovasculaire, les données de la technique de la bullectomie, les données de l'évaluation clinique et fonctionnelle post opératoire. Le taux de morbidité était de 37,5%. La principale complication était la fuite aérienne persistante (7 cas). Un patient est décédé au 2e jour post opératoire suite à une insuffisance respiratoire aiguë. La durée moyenne de suivi était de 26 mois. Durant ce suivi, nous avons observé une amélioration de la dyspnée chez tous les patients et nous n'avons noté aucune complication. La bullectomie est une technique chirurgicale efficace, fiable et sûre qui peut permettre aux patients d'avoir une meilleure qualité de vie pendant quelques années.
The potential of memory enhancement through modulation of perineuronal nets

With an increasingly aging global population, the incidence of neurological diseases such as dementia is set to increase to unmanageable levels, yet there are currently only symptomatic therapies available for treatment. The mechanisms underlying the development of some forms of dementia, such as Alzheimer's disease (AD), are not yet completely elucidated with several competing hypotheses existing. During the closure of the critical period in the brain, significant compositional changes occur to the neural extracellular matrix (ECM). Specifically, condensed mesh‐like structures called perineuronal nets (PNNs) form around subsets of neurons and have a profound effect on axonal growth and limit neuronal plasticity. These PNNs act as a morphological checkpoint and can influence memory and cognition. Manipulating these important ECM structures may provide the key to reactivating plasticity and restoring memory, both of which are severely impaired in AD and other associated neurological diseases. This review explores the current understanding of how PNNs are manipulated and examines potential new methods for PNN modulation.
Closeness and life satisfaction after six years for persons with stroke and spouses

OBJECTIVE To explore long-term experiences of satisfaction with life in persons with stroke and spouses. DESIGN This prospective cohort-study collected data on life satisfaction 1 and 6 years after stroke using the Life Satisfaction Checklist; focusing on "Life as a whole" and the domain "Closeness" ("Family life", "Partner relationship", "Sexual life"). Open-ended questions were added to illustrate changes in daily life. SUBJECTS A total of 72 stroke participants (24 singles, 48 married) and 24 spouses. Most of the stroke participants were men with a mild stroke. Median age for persons with stroke and spouses was 65 years. RESULTS All groups (singles/married stroke participants, spouses) experienced changes in satisfaction regarding "Closeness", and most often these changes were perceived as negative. The item "Sexual life" had the lowest proportion of satisfied participants. After 6 years, 58% of singles and 78% of married stroke participants were satisfied with "Life as a whole". The proportion of satisfied spouses was 41%. CONCLUSION For the vast majority of people who have had a stroke and their spouses, long-term satisfaction with aspects of "Closeness" decline. The results suggest a need to develop, evaluate and implement programmes that support satisfaction with the different aspects of "Closeness".
Effect of multicode interference on the downlink capacity of a UMTS TDD CDMA cellular system

The impact of multicode transmission on the capacity of a UMTS TDD CDMA system is investigated. The interference incurred by using such a transmission technique is often overlooked, resulting in optimistic performance evaluations. The multicode interference contribution is expressed in closed-form. This multicode contribution can be integrated to existing capacity studies without great restructuring needs. The performance degradation is assessed by using a multi-cell multi-service system-level simulation tool that evaluates the capacity of the system with and without multicode interference. The simulation tool parameters are based on principles and assumptions of 3GPP. The main results of this study show that a network with high-rate users in a vehicular environment can suffer from a substantial performance degradation due to multicode transmission, especially if the orthogonality between channelization codes cannot be maintained.
COMPARATIVE ANALYSIS OF EDGE BASED AND REGION BASED ACTIVE CONTOUR USING LEVEL SETS AND ITS APPLICATION ON CT IMAGES

Detection of Liver cancer from CT images is an exigent task due to the reason that cancer impression in CT images are of very low in contrast and have indistinguishable edges. Indistinguishable edges are edges in which foreground and background are almost same. Image segmentation is used to extract desired anatomical structure from image. Image segmentation is the process of dividing the image into multiple regions. These regions are sometimes called region of interest (ROI). These ROI’s are used as informative inputs to further image processing e.g. feature extraction, selection and ultimately the classification of a disease. Thus an effective image segmentation is utmost important in medical images. In case of indistinguishable edges most segmentation techniques fails to detect edges. Edge based and region based active contour methods are most prevalent for image segmentation. Edge based technique works using gradient function and ultimately stopping function to detect edges , while region based uses average information inside and outside regions to control evolution and termination at edges. In this paper comparative analysis of edge based and region based active contour using level sets is done. When applying these methods on the CT images with an impression of liver cancer, it has been found that the edge based contour able to locate the desired edges more accurately. The quantitative and qualitative results comparison between two techniques has also been done. Results shows that edge based methods performs comparatively better than region based active contour using level set if number of iterations are controlled properly.
Protein kinase A‐mediated phosphorylation of naked cuticle homolog 2 stimulates cell‐surface delivery of transforming growth factor‐α for epidermal growth factor receptor transactivation

The classic mode of G protein‐coupled receptor (GPCR)‐mediated transactivation of the receptor tyrosine kinase epidermal growth factor receptor (EGFR) transactivation occurs via matrix metalloprotease (MMP)‐mediated cleavage of plasma membrane‐anchored EGFR ligands. Herein, we show that the Gαs‐activating GPCR ligands vasoactive intestinal peptide (VIP) and prostaglandin E2 (PGE2) transactivate EGFR through increased cell‐surface delivery of the EGFR ligand transforming growth factor‐α (TGFα) in polarizing madin‐darby canine kidney (MDCK) and Caco‐2 cells. This is achieved by PKA‐mediated phosphorylation of naked cuticle homolog 2 (NKD2), previously shown to bind TGFα and direct delivery of TGFα‐containing vesicles to the basolateral surface of polarized epithelial cells. VIP and PGE2 rapidly activate protein kinase A (PKA) that then phosphorylates NKD2 at Ser‐223, a process that is facilitated by the molecular scaffold A‐kinase anchoring protein 12 (AKAP12). This phosphorylation stabilized NKD2, ensuring efficient cell‐surface delivery of TGFα and increased EGFR activation. Thus, GPCR‐triggered, PKA/AKAP12/NKD2‐regulated targeting of TGFα to the cell surface represents a new mode of EGFR transactivation that occurs proximal to ligand cleavage by MMPs.
Performing scheduling and storage optimization simultaneously using genetic algorithms

This paper presents a method for performing scheduling and allocation of functional units simultaneously with storage optimization in high-level synthesis using genetic algorithms. The method involves augmenting a standard CDFG with storage operations and scheduling these operations on available storage units. The resulting synthesis tool is flexible and can support any type of storage unit from registers, to multi-port register files and memories. Results on typical circuits and benchmarks prove the flexibility and performance of this technique.
A rule self-generating approach for fuzzy control

An adaptive fuzzy control algorithm and corresponding rule generating approach are presented. According to this paradigm, the fuzzy control rules can be generated automatically from the input data, and then the appropriate control actions can be deduced efficiently by a simplified fuzzy inference engine. Compared to traditional self-organising fuzzy controllers, this method has less computational burden and faster reasoning speed.
Keratin 23 Is a Peroxisome Proliferator‐Activated Receptor Alpha–Dependent, MYC‐Amplified Oncogene That Promotes Hepatocyte Proliferation

Chronic activation of the nuclear receptor peroxisome proliferator–activated receptor alpha (PPARA) promotes MYC‐linked hepatocellular carcinoma (HCC) in mice. Recent studies have shown that MYC can function as an amplifier of transcription where MYC does not act as an “on‐off” switch for gene expression but rather accelerates transcription rates at active promoters by stimulating transcript elongation. Considering the possibility that MYC may amplify the expression of PPARA target genes to potentiate cell proliferation and liver cancer, gene expression was analyzed from livers of wild‐type and liver‐specific Myc knockout (MycΔHep) mice treated with the PPARA agonist pirinixic acid. A subset of PPARA target genes was amplified in the presence of MYC, including keratin 23 (Krt23). The induction of Krt23 was significantly attenuated in MycΔHep mice and completely abolished in Ppara‐null mice. Reporter gene assays and chromatin immunoprecipitation confirmed direct binding of both PPARA and MYC to sites within the Krt23 promoter. Forced expression of KRT23 in primary hepatocytes induced cell cycle–related genes. These data indicate that PPARA activation elevates MYC expression, which in turn potentiates the expression of select PPARA target genes involved in cell proliferation. Finally, KRT23 protein is highly elevated in human HCCs. Conclusion: These results revealed that MYC‐mediated transcriptional potentiation of select PPARA target genes, such as Krt23, may remove rate‐limiting constraints on hepatocyte growth and proliferation leading to liver cancer.
Low-Dose Anti-Thymocyte Globulin Preserves C-Peptide, Reduces HbA1c, and Increases Regulatory to Conventional T-Cell Ratios in New-Onset Type 1 Diabetes: Two-Year Clinical Trial Data

A three-arm, randomized, double-masked, placebo-controlled phase 2b trial performed by the Type 1 Diabetes TrialNet Study Group previously demonstrated that low-dose anti-thymocyte globulin (ATG) (2.5 mg/kg) preserved β-cell function and reduced HbA1c for 1 year in new-onset type 1 diabetes. Subjects (N = 89) were randomized to 1) ATG and pegylated granulocyte colony-stimulating factor (GCSF), 2) ATG alone, or 3) placebo. Herein, we report 2-year area under the curve (AUC) C-peptide and HbA1c, prespecified secondary end points, and potential immunologic correlates. The 2-year mean mixed-meal tolerance test–stimulated AUC C-peptide, analyzed by ANCOVA adjusting for baseline C-peptide, age, and sex (n = 82) with significance defined as one-sided P < 0.025, was significantly higher in subjects treated with ATG versus placebo (P = 0.00005) but not ATG/GCSF versus placebo (P = 0.032). HbA1c was significantly reduced at 2 years in subjects treated with ATG (P = 0.011) and ATG/GCSF (P = 0.022) versus placebo. Flow cytometry analyses demonstrated reduced circulating CD4:CD8 ratio, increased regulatory T-cell:conventional CD4 T-cell ratios, and increased PD-1+CD4+ T cells following low-dose ATG and ATG/GCSF. Low-dose ATG partially preserved β-cell function and reduced HbA1c 2 years after therapy in new-onset type 1 diabetes. Future studies should determine whether low-dose ATG might prevent or delay the onset of type 1 diabetes.
Neural network solutions to a graph theoretic problem

A Hopfield-model-based solution to the node covering problem is considered. It is shown that the sequential algorithm is always convergent, and that for an n-node graph, this convergence occurs in no more than 2n iterations. For the parallel algorithm, a resetting scheme guaranteeing convergence is proposed. Detailed analyses of both schemes are given. <<ETX>>
INVESTIGATION OF MYOCARDIAL SHORT-SCAN SPECT SCHEMES USING A REAL INHOMOGENEOUS ATTENUATING MEDIUM

In myocardial perfusion SPECT imaging the effect of photon attenuation may introduce artifacts in the reconstructed image due to the highly non-uniform distribution of tissue in the thorax region, potentially resulting in false-positive interpretations. It was the general consideration that the adequate compensation of photon attenuation requires, that the emission data be measured at projection angles over 2 π in the case the attenuation medium is inhomogeneous. The reduction of the scanning angle in SPECT imaging may be desirable because it can reduce scanning time and thereby minimize patient-motion and other artifacts. In SPECT myocardial imaging emission data is measured historically at projection angles over π from the right anterior oblique (RAO) to the left posterior oblique (LPO). This configuration results in better image contrast and, in some cases, better spatial resolution. However, in this case the reconstructed image may suffer more severely from geometric distortion than 2π angular sampling. It has been proven recently in analytical computer simulation studies that the data function over 2 π in SPECT with non-uniform attenuation contains redundant information; therefore the scanning angle theoretically can be reduced from 2π to π without loss of information. In this study our goal was to investigate how the various short-scan SPECT scheme configurations work in a real myocardial SPECT imaging system with highly inhomogeneous attenuating medium using attenuation correction. The measured projection images were reconstructed using the Maximum Likelihood Expectation Maximization algorithm with attenuation correction. The reconstructed slices of the various short-scan configurations and the full-scan slices were compared by a cardiac stress/rest software package.
The application of interleaver in the multilevel coding system over the Rayleigh fading channel

We research block multilevel coding (MLC) with different interleavers, which are bit interleaver and symbol interleaver, for the Rayleigh fading channel. These schemes are both based on Ungerbock partitioning. We construct schemes that follow the capacity rule to show that there is optimum trade-off between power and bandwidth efficiency. By computer simulation, it is shown that the MLC with bit interleaver can gain 2 dB, whereas with symbol interleaver there is no difference compared to the MLC without interleaver.
Cardiovascular Risk and Risk Factor Management in Type 2 Diabetes Mellitus.

BACKGROUND With recent changes in the United Kingdom's clinical practice for diabetes mellitus care, contemporary estimates of sex disparities in cardiovascular risk and risk factor management are needed. METHODS In this retrospective cohort study, using the Clinical Practice Research Datalink linked to hospital and death records for people in England, we identified 79 985 patients with incident type 2 diabetes mellitus (T2DM) between 2006 to 2013 matched to 386 547 patients without diabetes mellitus. Sex-stratified Cox models were used to assess cardiovascular risk. RESULTS Compared with women without T2DM, women with T2DM had a higher cardiovascular event risk (adjusted hazard ratio, 1.20 [95% confidence interval, 1.12-1.28]) with similar corresponding data in men (hazard ratio, 1.12 [1.06-1.19]), leading to a nonsignificant higher relative risk in women (risk ratio, 1.07 [0.98-1.17]). However, some important sex differences in the management of risk factors were observed. Compared with men with T2DM, women with T2DM were more likely to be obese, hypertensive, and have hypercholesterolemia, but were less likely to be prescribed lipid-lowering medication and angiotensin-converting enzyme inhibitors, especially if they had cardiovascular disease. CONCLUSIONS Compared with men developing T2DM, women with T2DM do not have a significantly higher relative increase in cardiovascular risk, but ongoing sex disparities in prescribing should prompt heightened efforts to improve the standard and equity of diabetes mellitus care in women and men.
A proposed Novel Approach for Sentiment Analysis and Opinion Mining

as the people are being dependent on internet the requirement of user view analysis is increasing exponentially. Customer posts their experience and opinion about the product policy and services. But, because of the massive volume of reviews, customers can’t read all reviews. In order to solve this problem, a lot of research is being carried out in Opinion Mining. In order to solve this problem, a lot of research is being carried out in Opinion Mining. Through the Opinion Mining, we can know about contents of whole product reviews, Blogs are websites that allow one or more individuals to write about things they want to share with other The valuable data contained in posts from a large number of users across geographic, demographic and cultural boundaries provide a rich data source not only for commercial exploitation but also for psychological & sociopolitical research. This paper tries to demonstrate the plausibility of the idea through our clustering and classifying opinion mining experiment on analysis of blog posts on recent product policy and services reviews. We are proposing a Nobel approach for analyzing the Review for the customer opinion.