Miracle-dz/UniFAR-FTUs huggingface dataset:
Infl iximab in ulcerative colitis

Infl iximab, a monoclonal anti-TNF-α antibody, is commonly used for treatment of moderate to severe Crohn's disease (CD). Its role in the treatment for ulcerative colitis (UC) remains controversial. We review the role of TNF-α in the pathogenesis of UC and describe the randomized, double-blind, placebo-controlled trials and systematic reviews that assess the effi cacy of infl iximab in the treatment of moderate to severe UC.
Joint Conference on Neural Networks , Orlando , Florida , USA , August 12-17 , 2007 Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks

This paper develops a Bayesian approach to recursive second order training of recurrent neural networks. A general recursive Levenberg-Marquardt algorithm is elaborated using Bayesian regularization. Individual local regularization hyperparameters as well as an output noise hyper-parameter are reestimated in order to maximize the weight posterior distribution and to produce a well generalizing network model. The proposed algorithm performs a computationally stable sequential Hessian estimation with RTRL derivatives. Experimental investigations using benchmark and practical data sets show that the developed algorithm outperforms the standard RTRL and extended Kalman training algorithms for recurrent nets, as well as feed forward and finite impulse response neural filters, on time series modeling.
Older men learning through religious and political affiliations : case studies from Malta

This article examines two case studies from Malta that focus on older men learning through informal channels. The first case study investigated the role of a community-based organisation - namely, a religious confraternity dedicated to 'Our Lady of Immaculate Conception' of the village of Mqabba - as an avenue for informal learning activities for older men. The second case study investigated the connection between affiliation in the Labour Party Veterans' branch of the Labour Party (Malta) and informal learning. The case studies were carried out by employing a qualitative-methodological framework whereby data was collected through semi-structured interviews. The intent was to reveal the perceived interests and expectations regarding what would be considered a satisfying lifestyle in the context of membership of older men in both organisations. Findings reveal the benefits that older men enjoy through participation in such organisations, including increased levels of independence, improved social participation, and positive effects on participants' self-esteem and personal confidence. Informants report that membership also contributed to their mental and physical health and to increased activity. Many underlined how participation aided them in escaping boredom and keeping in touch with the outside world. Findings also reveal that only a few informants were simultaneously involved in organisations and activities not related to their religious and political affiliations, which highlights the importance of both informal learning channels in helping older men lead successful and active lives.
The effects of repeated sessions of exercise on immune cells and cortisol infemale athletes

Abstract Introduction: Studies have shown that insufficient recovery between sessions causes immune suppression. The aim of this study was to investigate the effect of repeated bouts resistance and endurance exercise on blood leukocytes, lymphocytes, neutrophils, monocytes count and plasma cortisol levels in athlete girls. Materials and methods: 9 athlete girls (ages, 20-25 years), participated in the study voluntarily. They performed two experimental protocols in two phases on two separate days. At first, subjects performed two bouts of resistance exercise (8 exercises with 65% 1RM) at 09:00 and 15:00. After one week rest, subjects performed two bouts of endurance exercise (60 min cycling on 65% HR Reserve) at the same time. Blood samples were taken before and after each bout and 1 hour after the second bout of exercise. Statistical analysis was performed using Kolmogroph-Smirnoff, independent t-test and ANOVA with repeated measure. Results: Repeated bouts endurance exercise significantly increased blood leukocytes, neutrophils, monocytes count and plasma cortisol levels, but repeated bouts resistance exercise only increased blood lymphocytes count significantly (P < 0.05). Comparison of the two exercise types indicated that there was a significant difference in blood monocytes count (P < 0.05). Conclusion: The results showed no significant difference between repeated bouts of resistance and endurance exercise in a day on immunological variables and cortisol hormone.
Invariants of Finite Groups Generated by Reflections

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A Formal Evaluation of Mutation and Data Flow Based Test Adequacy Criteria

Evaluation of the adequacy of a test set is a frequently encountered problem in software testing. Data ow and mutation-based testing methods provide several criteria to evaluate test sets. This work considers the c-use, p-use, and all-uses based data ow criteria and compares these with a mutation-based criterion. We show that for the most general class of programs, mutation and the above data ow criteria are incomparable. We also identify classes of programs for which a mutation-based criterion subsumes the c-use, p-use, and all-uses based criteria. Our results are signiicant in the light of the fact that the determination of the subsumption relationship between data ow and mutation continues to be an open problem in the eld of software testing.
Vision-Based Localization

Localization based on visual landmarks requires feature extraction from views and map, matching of features between views and map, and viewpoint hypothesis generation and veri cation. In this paper, we describe lowerlevel image and map understanding procedures for extracting features and higher-level problem solving methods for establishing feature correspondences and making inferences about the viewpoint. Each of these processes, including the interaction of high-level and low-level subsystems, is demonstrated on real data.
Exploring memory in infancy: deferred imitation and the development of declarative memory

Imitation is an important means by which infants learn new behaviours. When infants do not have the opportunity to immediately reproduce observed actions, they may form a memory representation of the event which can guide their behaviour when a similar situation is encountered again. Imitation procedures can, therefore, provide insight into infant memory. The deferred imitation paradigm requires a modelled action to be reproduced following a delay, without prior motor practice. As such, deferred imitation procedures have been proposed to tap declarative memory abilities in non-verbal populations such as infants. Contrary to the popular belief that infants form sparse or ill-defined memories, deferred imitation research reveals that infants store and retrieve highly detailed memory representations. The specificity of detail encoded into the representation can, however, cause memory retrieval to fail at young ages. Developing the ability to identify event components which are central (the target stimulus) versus details which are peripheral (the exact context in which learning occurred) is therefore an important aspect of memory development. Using deferred imitation procedures to study the transition from constrained to flexible memory representations can thus facilitate our understanding of the development of declarative memory during the infancy period.
Prospective memory and social cognition in people with chronic heart failure

People affected by chronic heart failure (CHF) suffer from diffuse brain pathology and are consequently at a higher risk of developing cognitive impairment. The aim of this thesis was to examine two areas of cognition in people with CHF, namely prospective memory (PM) and social cognition. This aim was addressed in a series of three experiments. PM and social cognition have not previously been assessed in the CHF population; however, because both of these cognitive processes rely on brain regions that are commonly damaged in people with CHF, it was expected that these areas of cognition would be impaired. Study 1 assessed PM function, or the ability to remember to perform tasks in the future, in a CHF sample (n = 30) and demographically matched controls (n = 30). A comprehensive cognitive test battery including measures of general cognition was administered. Additionally, a behavioural measure of PM was used. The CHF sample had deficits in some, but not all, general cognitive domains. The key findings of this study showed that the CHF sample had pervasive but modest PM deficits, compared to healthy controls. Study 2 tested the possibility raised by Study 1 that PM deficits may impair patients’ ability to adequately manage their CHF. Study 2 used the same sample as Study 1 (n = 30). The relationship between CHF self-care and other more general cognitive processes was also assessed. Self-care was assessed using the Self-care Heart Failure Index, and medication adherence and functional independence were also assessed. Overall, the findings did not show a statistically significant relationship between cognitive ability and self-care.
Extracting Regular Behaviors from Social Media Networks

Social media network analysis has become very popular in recent years. How do real networks evolve over time? What are the normal evolving behaviors in a social media network? In order to extract behaviors occurring regularly to reveal the microscopic evolving properties in social networks, the evolving process of networks is modeled as stochastic states transition, and the evolving behaviors are described as topological structure changes of a series of sub graphs. Then, based on Maximal Frequent Sub graph mining technology, RB Miner (Regular Behaviors Miner) algorithm is proposed to identify such regular behaviors in network dataset. The empirical evaluation using both synthetic and real dataset verifies that the proposed algorithm is valid, and the regular behavior patterns show more dynamic information hidden in evolving social networks than normal frequent sub graph patterns.
Usability factors of 3D criminal archive in an augmented reality environment

The CrimAR application is a system using augmented reality technology and tangible interaction in presenting criminals in 3D. CrimAR allows a flexible and natural means for inspection by witnesses in the process of suspect recognition. To identify usability factors in interacting with the 3D models and to discover features and further areas of usage in criminal investigation, we conducted a usability evaluation consulting experts on both 3D interface design, and criminal investigation. The CrimAR application was very positively received by both group, and is on a whole considered a significant contribution in simplifying and improving the process of recognition. Three usability problems are identified, with solutions. Two new features deemed necessary by the investigators are introduced, and two other areas of usage in criminal investigation are proposed. A schedule for implementation and further testing of these various components are presented.
An alternative clustering algorithm based on IB method

Alternative clustering aims at exploring another reasonable clustering which is distinctively different from an existing one. This paper presents a novel alternative clustering algorithm based on the IB method, named Alt_sIB. Our approach aims to ensure the clustering quality by maximizing the mutual information between clustering labels and data observation, whilst ensuring the clustering distinctiveness by minimizing the information sharing between the two clusterings. We employ a nonparametric MeanNN differential entropy estimator for the mutual information estimation and optimize the objective function iteratively in a sequential way. The experimental results indicate that the proposed Alt_sIB algorithm could uncover the reasonable and different clusterings from the dataset efficiently. Compared to the existing NACI algorithm and minCEntropy algorithm, the Alt_sIB's performance is better.
The precision of service, forehand and backhand strikes from the baseline, and their comparison between male and female tennis athletes

The purpose of the present study was to register and compare the performance of male and female tennis athletes in relation to their successful strikes at service, forehand and backhand. The sample of the study included active male and female athletes, members of Thessalonica’s teams that participate at the National championships of their ages. The sum of the study was 60 athletes (30 male and 30 female). Comparisons were made in order to evaluate if statistical significant differences exist based on their sex on the scores of their strikes. Statistical analysis of one-way ANOVA was used, with a significance level of 0.05. The results of the study showed that concerning sex, no significant statistical differences were noticed between the scores that male and female athletes achieve at the three strikes (service from the right side, sig=0.206, service from the left side sig=0.162, service totally sig= 0.929, forehand sig=0.766, backhand sig=0.683). The results showed that sex is an insignificant factor that could affect and form the scores of the athletes at the tests that describe their technical ability. Future studies are necessary, for the construction of a more widespread database.
Electroporation of adherent cells with low sample volumes on a microscope stage

SUMMARY The labeling of specific molecules and their artificial control in living cells are powerful techniques for investigating intracellular molecular dynamics. To use these techniques, molecular compounds (hereinafter described simply as ‘samples’) need to be loaded into cells. Electroporation techniques are exploited to load membrane-impermeant samples into cells. Here, we developed a new electroporator with four special characteristics. (1) Electric pulses are applied to the adherent cells directly, without removing them from the substratum. (2) Samples can be loaded into the adherent cells while observing them on the stage of an inverted microscope. (3) Only 2 μl of sample solution is sufficient. (4) The device is very easy to use, as the cuvette, which is connected to the tip of a commercially available auto-pipette, is manipulated by hand. Using our device, we loaded a fluorescent probe of actin filaments, Alexa Fluor 546 phalloidin, into migrating keratocytes. The level of this probe in the cells could be easily adjusted by changing its concentration in the electroporation medium. Samples could be loaded into keratocytes, neutrophil-like HL-60 cells and Dictyostelium cells on a coverslip, and keratocytes on an elastic silicone substratum. The new device should be useful for a wide range of adherent cells and allow electroporation for cells on various types of the substrata.
Development of a laser-based localization system in an outdoor setting: Design and performance evaluation of transmitter and receiver component

The Global Positioning System (GPS) has been widely used as guidance for autonomous vehicles and robots, especially in outdoor environments. For such application a high accuracy of GPS is required (e.g. using a Real-Time Kinematics Differential GPS). however, it is costly. This paper discuss about development of a laser-based localization system in outdoor setting which works based on triangulation as an alternative of positioning system as a guidance of agricultural machinery operation in a specified field operation such as fertilizer application or chemical sprayer operation. More specific this paper discuss about design and performance analysis of laser transmitter and receiver component of the proposed system. The main challenges in designing those components is that the system should be capable of dealing with influencing factors exist in outdoor environment, especially ambient light. Here, modulation technique applied to the transmitter combined with high pass filter applied to the receiver is used to address that issue. The experiment results showed that using transmitter with laser modulated at 2.7 kHz and receiver with 1.5 kHz cut-off high pass filter worked best on 50% duty cycle. The developed transmitter-receiver system was capable of reaching up to 200 m distance and worked well on a various ambient light conditions. This result suggested that the developed prototype can be used to further develop the proposed laser based localization system.
Fault diagnosis of an industrial CGO coker model predictive control system

We report a successful fault diagnosis and trouble shooting process of an industrial model predictive control system. The approach is completely data driven. Routine closed-loop operating data is the only information required for applying such a diagnosis. The source of the problem has been attributed to inappropriate selection of the disturbance variables for the MPC controller. The problem is not unusual in industrial model predictive control systems. It is therefore recommended to carry out such analysis to other industrial MPC control systems as well.
An overview of object-oriented design metrics

In this paper, we examine the current state in the field of object-oriented design metrices. We describe three sets of currently available metrics suites, namely, those of Chidamber and Kemerer (1993), Lorenze and Kidd (1994) and Abreu (1995). We consider the important features of each set, and assess the appropriateness and usefulness of each in evaluating the design of object-oriented systems. As a result, we identify problems common to all three sets of metrices, allowing us to suggest possible improvements in this area.
Determination of fine particulate matter from MERIS and SeaWiFS aerosol data

1 ABSTRACT Over land, the Dense Dark Vegetation is used to derive in a first stage the aerosol path radiance and in a second stage to propose an aerosol product which consists of the aerosol optical thickness at 443 nm. Air quality monitoring of the particles is based on measurements of PM10 and PM2.5 which are respectively the density of particles of diameter lesser than 10 μm, lesser than 2.5 μm, at the surface. The satellite aerosol product can be converted into PM10 and PM2.5, based on different assumptions: particle density and vertical distribution mainly. This first attempt to monitor PM from space can be validated with in-situ data. Another approach will simply consist in using the in-situ PM measurements to calibrate the satellite imagery. Within the frame of a European project called EXPER-PF, we generated, over an area centred on Lille (50’36° N, 3’08 E, North of France), a data base with the SeaWiFS archive, and the PM data collected by the regional air quality network. The above technique will be applied and validate using this data base. MERIS data will be integrated in 2004. We show here the potential improvements on the aerosol product we can expect from MERIS
Constructing Quantum Error-Correcting Codes for pm-State System from Classical Error-Correcting Codes

Quantum error-correcting codes have attracted much attention. Among many research articles, the most general and systematic construction is the so called stabilizer code construction [6] or additive code construction [2], which constructs a quantum error-correcting code as an eigenspace of an Abelian subgroup S of the error group. Thereafter Calderbank et al. [3] proposed a construction of S from an additive code over the finite field F4 with 4 elements. These constructions work for tensor products of 2-state quantum systems. However Knill [8], [9] and Rains [13] observed that the construction [2], [6] can be generalized to n-state systems by an appropriate choice of the error basis. Rains [13] also generalized the construction [3] using additive codes over F4 to p-state quantum systems, but his generalization does not relate the problem of quantum code construction to classical error-correcting codes. We propose a construction of quantum error-correcting codes for p-state systems from classical error-correcting codes which is a generalization of [3]. Throughout this paper, p denotes a prime number andm a positive integer. This paper is organized as follows. In Sect. 2, we review the construction of quantum codes for nonbinary systems. In Sect. 3, we propose a construction of quantum codes for p-state systems from classical codes over Fp2 . In Sect. 4, we propose a construction of quantum codes for p-state systems from classical linear codes over Fp2m . In Sect. 5, we discuss a
The Power of Information: How Do U.S. News Rankings Affect the Financial Resources of Public Colleges?

In 1990, the U.S. News & World Report (USNWR) extended the coverage of its college rankings from only the top 25 to all national universities and colleges. This paper utilizes this exogenous information shock to identify the impact of college quality information on the financial resources of public colleges. Using college level data from 1987 to 1995, we have three main findings: first, USNWR coverage causes colleges to increase educational and general expenditures per student. Second, these expenditure responses are funded by a 6.5% increase in state appropriations per student, but tuition revenue does not respond. Third, the state appropriation response to USNWR exposure is larger the larger the pre-college age population, voter turnout and USNWR newsstand sales are in a state. These heterogeneous responses are consistent with the USNWR rankings reducing the scope for political agency. Thus our results suggest that, in addition to a consumer response, the publication of quality rankings may influence the provision of quality through a political channel.
Behavioral genetics in larval zebrafish: Learning from the young

Deciphering the genetic code that determines how the vertebrate nervous system assembles into neural circuits that ultimately control behavior is a fascinating and challenging question in modern neurobiology. Because of the complexity of this problem, successful strategies require a simple yet focused experimental approach without limiting the scope of the discovery. Unbiased, large‐scale forward genetic screens in invertebrate organisms have yielded great insight into the genetic regulation of neural circuit assembly and function. For many reasons, this highly successful approach has been difficult to recapitulate in the behavioral neuroscience field's classic vertebrate model organisms—rodents. Here, we discuss how larval zebrafish provide a promising model system to which we can apply the design of invertebrate behavior‐based screens to reveal the genetic mechanisms critical for neural circuit assembly and function in vertebrates. © 2011 Wiley Periodicals, Inc. Develop Neurobiol 72: 366–372, 2012
Production d'émotions faciales dans la schizophrénie Production of facial expression in schizophrenia

Converging evidences revealed that facial pattern recognition is severely impaired in schizophrenia. The present article focuses on recognition of their own facial expression by patients with schizophrenia. It seems that schizophrenia is related with a dissociation between facial expression and emotional feeling. Recent experimental data are discussed. © 2009 Elsevier Masson SAS. All rights reserved. Mots cles : Schizophrenie ; Visage ; Expression ; Emotion ; Reconnaissance