Miracle-dz/UniFAR-FTUs huggingface dataset:
C‐kit protein expression in uterine and ovarian mesenchymal tumours

The protooncogene c‐kit encoding transmembrane tyrosine kinase receptor protein plays an important role in the signal transduction pathway that regulates cellular growth and repair. Gene product KIT overexpression has been shown in a number of different neoplasms, particularly in mastocytosis and gastrointestinal stromal tumours (GIST). The morphologic similarity of uterine mesenchymal tumours and GIST, and the presence of KIT protein in normal uterine tissue, suggests that uterine sarcomas may have the same c‐kit overexpression. The purpose of this study was to determine the overexpression of c‐kit protein in uterine and ovarian sarcomas. Immunohistochemical staining using a polyclonal anti‐c‐kit antibody was performed on tissue blocks from 12 carsinosarcomas, 14 leiomyosarcomas, 8 endometrial stromal sarcomas, 2 adenosarcomas, 1 atypical leiomyoma, 1 leiomyoma with limited experience, and 10 leiomyomas. The slides were evaluated by a semiquantitative method. C‐kit was positive in 10 of 12 (83%) carcinosarcomas, 10 of 14 (71%) leiomyosarcomas, 6 of 8 75(%) endometrial stromal sarcomas, 1 of 2 (50%) adenosarcomas, 1 leiomyoma with limited experience, and 1 of 10 (10%) leiomyomas. The uterine sarcomas express c‐kit, like GISTs. It seems that KIT may have a significant role in the oncogenesis of mesenchymal tumours of the uterus and ovary.
A family based study of catechol‐O‐methyltransferase (COMT) and attention deficit hyperactivity disorder (ADHD)

Neurobiological studies have suggested that altered dopaminergic function may contribute to the etiology of attention deficit hyperactivity disorder (ADHD). The gene encoding catechol‐O‐methyltransferase (COMT) is an attractive candidate for ADHD susceptibility as it plays a major role in the degradation of dopamine. Moreover, a functional Val158Met polymorphism in COMT that alters the activity of the encoded protein has been strongly implicated in frontal lobe function, with the high activity Valine allele being associated with poorer performance, and ADHD is thought to involve fronto‐striatal pathways. We have examined this functional variant for association with ADHD in a family based association sample comprising 279 probands and their parents. We have also examined two other markers in the COMT gene (rs737865, rs165599) which, together with the Val/Met variant, have recently been shown to be associated with altered COMT expression rather than enzyme activity. No evidence for association was observed with any single marker or haplotype in a sample of 279 affected children and their parents. © 2004 Wiley‐Liss, Inc.
CBLOS: Improving local outlier detection

In this paper, we propose a new technique for local outliers detection based on clustering. In terms of the local data behavior, we construct a formula for computing cluster-based local outlier score (i.e. CBLOS) within clusters. Using real-world datasets, we demonstrate that CBLOS can be used to efficiently identify outliers.
The Robot Vision Challenge . Where are we after 5 editions ?

This article describes the Robot Vision challenge, a competition that evaluates solutions for the visual place classification problem. Since its origin, this challenge has been proposed as a common benchmark where worldwide proposals are measured using a common overall score. Each new edition of the competition introduced novelties, both for the type of input data and sub-objectives of the challenge. All the techniques used by the participants have been gathered up and published to make it accessible for future developments. The legacy of the Robot Vision challenge includes datasets, benchmarking techniques, and a wide experience in the place classification research that is reflected in this article.
Outcomes of acute versus elective primary ventral hernia repair

BACKGROUND The morbidity and mortality associated with acute primary ventral hernia repair have not been well described. We examined the rate of surgical site infection (SSI), hernia recurrence, and mortality in acute versus elective primary ventral hernia repair and identified predictors of morbidity and mortality after primary ventral hernia repair. METHODS A retrospective study on all patients undergoing open primary ventral hernia repair at a single institution (2000–2010) was performed. Primary outcomes were mortality at any time, SSI, and recurrence. Survival analysis for the entire, unmatched sample was conducted. We performed a risk-adjusted analysis of outcomes using two methods as follows: (1) case matching and (2) propensity score–adjusted regression model. RESULTS We identified 497 patients; 57 (11%) underwent acute primary ventral hernia repair. For the entire cohort, survival was worse for patients undergoing acute repair (log rank, 0.03). Following case matching on age, body mass index, American Society of Anesthesiologists score, and hernia size, there was no difference in mortality, SSI, or recurrence. After propensity score adjustment, acute surgery was not a predictor for mortality or SSI; however, incarcerated hernias predicted recurrence. CONCLUSION After risk adjustment, acute primary ventral hernia repair was not associated with higher mortality, infection, or recurrence compared with elective repair. LEVEL OF EVIDENCE Therapeutic study, level IV.
A Single-Inductor Dual-Band VCO in a 0.06mm2 5.6GHz Multi-Band Front-End in 90nm Digital CMOS

Software-defined multi-standard radios are emerging solutions for future mobile applications. Expensive scaled CMOS processes are readily used as a technology enabler to provide adequate performance. The high implementation cost of circuits in such processes is justified by the added functionality of the circuits, however it also drives the desire for low-area solutions in standard digital CMOS. For example, low-area inductor-less LNAs take advantage of the high ft of scaled CMOS. Unfortunately, stringent phase noise requirements make inductors unavoidable in VCOs. This leads to solutions with area-demanding multiple- inductor synthesizers or spur-hazardous multiply-and-divide sections to cover the wide frequency range required for multi- standard receivers. In this work, we demonstrate a low-area multi-standard direct downconversion receiver front-end that uses a single-inductor dual-band VCO and is implemented in 90 nm digital CMOS.
Luminescent nanoparticle-based intracellular sensing

We present luminescence-based nanosensors for oxygen (O2) and calcium ions (Ca2+) sensing in the cellular environment. A novel ratiometric Ca2+-sensitive nanoparticle (NP) consisting of a silica core coated with a shell of dextran was synthesised. A rhodamine-based reference dye was covalently bound to the silica core while the dextran shell was labelled with the Ca2+-sensitive probe Fluo-4. The nanoparticles have an average hydrodynamic diameter of 95 nm, good colloidal stability and show a 2.9-fold increase in fluorescence intensity upon binding to Ca2+ ions. The determined dissociation constant of Kd ≈ 520 nM is well suited for measurements in the physiological range. The oxygen-sensitive optical probe is the ruthenium complex [Ru(II)-tris(4,7-diphenyl-1,10-phenanthroline), which was encapsulated in silica NPs which were synthesised using the Stöber sol-gel process. The oxygen sensitivity of the nanoparticles was measured and a calibration curve established. In addition preliminary measurements have been carried out on the introduction of the NPs into macrophages.
Identification of Secretory Proteins by Separated Space Based Linear Discriminant Analysis

Signal peptides are short regions of amino acid residues, which have become a crucial tool in finding new drugs or reprogramming cells for gene therapy. Owing to the rapidly increasing number of protein, it is highly demanded to develop the automated algorithm to identify the signal peptides. Recently, we had adopted a new alignment kernel function to identify secretory proteins. Compared with previous works, our method improves the predictive performance and is much more stably. However, we also find it will be more helpful to visualize the classification. Study on feature reduction and extracting the useful features for classification, we make full use of the null space of within-class scatter matrix, and propose separated space based linear discriminant analysis(SSLDA). For signal peptides, with the high-dimension got by indefinite kernel based on global alignment similarity, we apply SSLDA and get reduced feature, then sequential data can be visualized, which are highly demanded in machine learning, and avoid the lack of physical explanation as classical neural network method did. The classification results also prove the performance of SSLDA.
Combination of optimal conductor selection and capacitor placement in radial distribution systems for maximum loss reduction

In This paper presents an approach for optimal placement and sizing of fixed capacitor banks and also optimal conductor selection in radial distribution networks for the purpose of economic minimization of loss and enhancement of voltage. The objective function includes the cost of power losses, capacitors and conductors. Constraints include voltage limit, maximum permissible carrying current of conductors, size of available capacitors and type of conductors. The optimization problem is solved by the genetic algorithm method and the size and the type of the capacitors and conductors is determined. By applying the proposed method, the economic costs and power losses are reduced to a considerable degree while enhancing the voltage profile. Simulation results are investigated on a radial distribution network consisting of 27 buses.
Underwater simulator for robotics applications in high depths

Simulators are essential tools, mainly used before practical application projects, in various areas of engineering. The high development cost and complexity are just some of the factors that justify the development of simulators for a given project, which allows among other benefits, conduct tests of the agent behavior against an environment. In robotics, simulators have been used for a long time and consist an important stage in prototyping phases. When the focus is on high depths underwater robotics, simulators have even greater importance since the great difficulty of building robots for this kind of environment. This paper presents a simulator built with Blender IDE integrated with Robotic Operating System (ROS) for underwater robotics applications, using sensory data from a simulated physics game engine. We present results of applications using this project as well as discussion of the key benefits of its development. It is observed an important potential for projects in underwater robotics, and its appeal in demonstrations and examples for learning robotics and 3D modeling.
The cyclicality of hires, separations, and job-to-job transitions

This paper measures the job-finding, separation, and job-to-job transition rates in the United States from 1948 to 2004. The job-finding and job-to-job transition rates are strongly procyclical and the separation rate is nearly acyclical, especially since 1985. The author develops a simple model in which unemployed workers search for jobs and employed workers search for better jobs. The model predicts that an increase in either the job-finding rate or the separation rate raises the job-to-job transition rate, which is qualitatively and quantitatively consistent with the available evidence. In contrast, if the job-finding rate were acyclical and the separation rate countercyclical, as is the conventional wisdom, the model predicts that the job-to-job transition rate would be counterfactually countercyclical.
Simplified Voltage-Sag Filler for Line-Interactive Uninterruptible Power Supplies

There are three types of static uninterruptible power supplies (UPSs): passive standby, line interactive, and double conversion. The last one protects the load against all types of line disturbances, but it is the most expensive and the one with the lowest efficiency. On the other hand, passive-standby and line-interactive UPSs have higher efficiency and lower cost, but they show an important drawback: a switching time from normal to stored-energy mode. As a consequence, there is a notch in the UPS output voltage during this switching time. In a previous paper, the authors proposed a method for filling these voltage notches with a sinusoidal waveform generated by a switch-mode converter. In this one, a simplified notch filler is proposed. It consists of two capacitors, one charged with positive voltage and the other with negative voltage. If the fault occurs in the positive period, the positive-charged capacitor is connected to the load. This connection is then modulated in order to obtain a sinusoidal waveform at the load. In the negative period, the other capacitor is used in the same way.
Monetary Policy and Financial Stability: What Role for the Futures Market?

This paper examines interactions between monetary policy and financial stability. There is a general view that central banks smooth interest rate changes to enhance the stability of financial markets. But might this induce a moral hazard problem, and induce financial institutions to maintain riskier portfolios, the presence of which would further inhibit active monetary policy? Hedging activities of financial institutions, such as the use of interest rate futures and swap markets to reduce risk, should further protect markets against consequences of unforeseen interest rate changes. Thus, smoothing may be both unnecessary and undesirable. The paper shows by a theoretical argument that smoothing interest rates may lead to indeterminacy of the economy's rational expectations equilibrium. Nevertheless, our empirical analysis supports the view that the Federal Reserve smoothes interest rates and reacts to interest rate futures. We add new evidence on the importance for policy of alternative indicators of financial markets stress.
Home Based Rehabilitation for Anterior Cruciate Ligament Reconstruction

Fifty-four patients who underwent arthroscopically assisted anterior cruciate ligament reconstruction with bone-patellar tendon-bone autograft or allograft were studied prospectively to compare a postoperative home based rehabilitation program with a clinic based program. Fifty-four patients (mean age, 30 years) were assigned randomly to the home based program (27 patients) or the clinic based program (27 patients). The home based schedule featured six physical therapy visits during a 6-month postoperative study period, whereas the clinic based schedule specified 24 physical therapy visits during those 6 months. All patients entered in the study met strict selection criteria: age older than 15 years, no previous ligament repair or reconstruction, no complicating medical conditions, no collegiate or professional athletes, reconstruction at least 6 weeks after injury, and informed consent. At the 6-month followup, no significant statistical differences were found between the two groups in range of motion, thigh atrophy, anterior drawer compliance, hopping tests, Lysholm scores, or subjective health status scores. Thus, the authors conclude that in a selected group of patients who have undergone anterior cruciate ligament reconstruction, a home based postoperative rehabilitation program is feasible, safe, and effective.
Complete base sequence for the mitochondrial large subunit ribosomal RNA of the gypsy moth Lymantha dispar(L.)

A 1355 bp sequence (accession number L32141) isolated from a gypsy moth (Lymantria dispar) cDNA library showed 68–74% sequence identity to mitochondrial large subunit ribosomal RNA (mt IrRNA) sequences of Locusta migratoria, Apis mellifera, Aedes albopictus, Anopheles gambiae and two Dros‐ophila species. A comparison of the primary sequences of the mt IrRNAs from the above insects in four orders and from Esherichia coli demonstrated regions of conservation which presumably correspond to regions of functional and/or structural homology. A secondary structure for the gypsy moth mt IrRNA sequence was derived based on the proposed secondary structures of Drosophila yakubaand Aedes albopictus mt IrRNAs (Gutell & Fox, Nucleic Acid Res 16 (Suppl.), r175‐r269, 1988). This sequence was found to hybridize to about 10–15% of the clones in several (eleven) gypsy moth cDNA libraries.
Application of Data Mining Based Scan Diagnosis Yield Analysis in a Foundry and Fabless Working Environment

For advanced technology nodes, the ability to improve the yield of a product in a short time dictates the success for both fabless and foundry. Identification of failure mechanisms in digital logic is frequently done using scan diagnosis driven yield analysis (DDYA) [1][2][3]. Recent works on root cause deconvolution (RCD) [4][5] discussed a Bayes net model based diagnosis data learning algorithm. Combining RCD and diagnosis suspect location analysis address key considerations in applying DDYA in a production environment.
BINING RECENT INSIGHTS FOR LSTMS

LSTMs have become a basic building block for many deep NLP models. In recent years, many improvements and variations have been proposed for deep sequence models in general, and LSTMs in particular. We propose and analyze a series of augmentations and modifications to LSTM networks resulting in improved performance for text classification datasets. We observe compounding improvements on traditional LSTMs using Monte Carlo test-time model averaging, average pooling, and residual connections, along with four other suggested modifications. Our analysis provides a simple, reliable, and high quality baseline model.
Content-based Image Retrieval System with Relevance Feedback

In the Content-based image retrieval (CBIR) system, user can express his interest with an image to search images from large database. The retrieval technique uses only the visual contents of images. In recent years with the technological advances, there remain many challenging research problems that continue to attract researchers from multiple disciplines such as the indexing, storing and browsing in the large database. However, traditional methods of image retrieval might not be sufficiently effective when dealing these research problems. Therefore there is a need for an efficient way for facilitate to user to find his need in these large collections of images. Therefore, building a new system to retrieve images using the relevance feedback’s technique is necessary in order to deal with such problem of image retrieval. In this paper, a new CBIR system is proposed to retrieve the similar images by integrating a relevance feedback. This system can be exploited to discover a new proper query representation and to improve the relevance of the retrieved results. The results obtained by our system are illustrated through some experiments on images from the MediaEval2014 collection.
A Holographic Antenna Approach for Surface Wave Control in Microstrip Antenna Applications

A holographic antenna inspired structure is used to control the surface wave (SW) excited by a microstrip patch antenna. The hologram is designed to support a periodic leaky-wave which radiates at broadside and enhances the radiation of the patch while suppressing the horizontal lobe. In this design, the holographic approach is adapted for patch antenna applications where the SW wavelengths are comparable to the freespace wavelength. This is achieved by introducing dual phase-shifting metallic dipoles with periodic spacings. This paper discusses a simple and intuitive design method for the holographic surface, as well as its integration with the microstrip patch. The initial design concept was developed by assuming small perturbation to the SW, which was subsequently verified through full-wave simulations and prototype measurements. The results verified the improvements in the broadside gain and SW efficiency of the microstrip patch at the cost of increased area.
Prevalence of arthritis: analysis of data from the US Behavioral Risk Factor Surveillance System, 1996-99.

OBJECTIVE Arthritis and other rheumatic conditions are a large and growing public health problem and constitute the most frequent cause of disability in the United States. Because many people with arthritis do not see a doctor for it, this study uses community surveys to estimate the prevalence of arthritis among adults and to identify subgroups with high prevalence rates of arthritis. METHODS We used data from a cross sectional random digit telephone survey (the Behavioral Risk Factor Surveillance System) of noninstitutionalized adults aged 18 years or older conducted from 1996 through 1999. Estimates of self-reported arthritis, defined as chronic joint symptoms or doctor diagnosed arthritis, were derived from data in 15 states and Puerto Rico, all of which used an optional arthritis survey module for one or more years from 1996 through 1999. RESULTS After adjusting for age, we found that arthritis was more common among several groups not recognized consistently in previous studies to have high prevalence rates of arthritis: separated and divorced people, those out of work or unable to work, and current and former smokers. It was also more common among several previously recognized groups with high prevalence rates of arthritis: older people, women, people with low education, people with low household incomes, physically inactive people, and overweight and obese people. CONCLUSION Because appropriate management can minimize the influence of arthritis, health care providers should ask patients in high risk groups about arthritis symptoms. In addition, clinical and public health interventions may be targeted toward those subgroups with high prevalence rates of arthritis to reduce the disability from arthritis and improve their health related quality of life.
Exact Closed-Form Expression of a Sommerfeld Integral for the Impedance Plane Problem

A Sommerfeld integral for an impedance half-plane is one of the classical problems in electromagnetic theory. In this paper, the integral is evaluated into two series representations, which are expressed in terms of the exponential integral and the Lommel function, respectively. It is shown that the series expansions absolutely converge for any parameters, such as distance or surface impedance. Then based on the Lommel function expansion, an exact closed-form expression of the integral is formulated. This expression is written in terms of incomplete Weber integrals, which are directly related to incomplete cylindrical functions such as incomplete Lipschitz-Hankel integrals. Additionally, a complete asymptotic series of the integral is obtained based on the exponential integral expansion. With conventional methods such as steepest descent method, it is cumbersome to derive the divergent series. The validity of all the formulations derived in this paper is demonstrated through a comparison with a numerical integration of the integral for various situations
BLE power consumption estimation and its applications to smart manufacturing

This paper introduces a new low power wireless sensor network technology - Bluetooth Low Energy (BLE). The BLE wireless communication is not only very low power consumption, but also it can be very easy to cooperate with smart terminators (smart phones and tablet PCs). In this paper, we estimate the power consumption of the BLE and report some BLE applications we are developing, including a wearable health thermometer and SMoB (Smart Manufacturing over BLE) technology for industrial 4.0.
Defeating the Invaders with Deep Reinforcement Learning

Motivation  The purpose is to achieve human-like performance using RL on a game like Space Invaders.  Two algorithms are implemented: Deep Q-Learning (DQL) and Deep Deterministic Policy Gradients (DDPQ).  After training both RL algorithms on Space Invaders, their performance is compared by testing them on 100 consecutive game episodes.  Although both algorithms perform well, DDPG manages to get better results with significantly less training.