Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of human T cell leukaemia virus type I infection on a herpes simplex virus‐specific CD8+ cytotoxic T cell clone

In an effort to clarify the effect of human T cell leukaemia virus type I (HTLV‐I) infection on virus‐specific CD8+ cytotoxic T cells, a herpes simplex virus‐specific CD8+ cytotoxic T cell clone was infected with HTLV‐I in vitro. The cytotoxic activity of the clone was found to have declined early after HTLV‐I infection when the expression of T cell receptor‐CD 3 complex on the cell surface still showed no difference in comparison with that of uninfected parent cells. After 16 weeks of HTLV‐I infection, expression of T cell receptor‐CD3 complex on HTLV‐I‐infected clone cells became decreased. This phenomenon is similar to the effect of HTLV‐I infection on CD4+ cytotoxic T cells as we previously reported, and suggests that there are common mechanisms of declined cytotoxic activity mediated by both CD4+ and CD8+ cytotoxic T cells following infection with HTLV‐I. Such functional alterations of cytotoxic effector cells might be one of the mechanisms underlying immunodeficiency caused by HTLV‐I infection.
Experimental Evaluation of Body Channel Response and Digital Modulation Schemes for Intra-body Communications

Intra-body communications is a short range communication solution suitable for Body Area Networks wherein the human body is used as the transmission medium. Currently, some studies have succeeded to transmit and receive simple information. However, intra-body communications could also provide broadband applications such as video streaming which will need high data rates. In this paper, firstly we investigate the propagation characteristics of the human body as a conductor of radio frequency signals. Afterwards, we evaluate five digital modulation schemes for intra-body communications. In the experiments, several distances between transmitter and receiver, symbol rates and frequency carriers are considered to investigate the optimal modulation scheme and the maximum transmission rate achievable. Constellation and eye diagrams and error vector magnitude are the performance parameters measured to evaluate the modulation accuracy.
2016 Ieee International Conference on Big Data (big Data) Parallel Clustering Method for Non-disjoint Partitioning of Large-scale Data Based on Spark Framework

—Clustering large scale data has become an important challenge which motivates several recent works. While the emphasis has been on the organization of massive data into disjoint groups, this work considers the identification of non-disjoint groups rather than the disjoint ones. In this setting, it is possible for data object to belong simultaneously to several groups since many real-world applications of clustering require non-disjoint partitioning to fit data structures. For this purpose, we propose the Parallel Overlapping k-means method (POKM) which is able to perform parallel clustering processes leading to non-disjoint partitioning of data. The proposed method is implemented within Spark framework to ensure the distribution of works over the different computation nodes. Experiments which we have performed on simulated and real-world multi-labeled datasets shows both faster execution times and high quality of clustering compared to existing methods.
Complexation and Toxicity of Copper in Higher Plants. I. Characterization of Copper Accumulation, Speciation, and Toxicity in Crassula helmsii as a New Copper Accumulator1[W][OA]

The amphibious water plant Crassula helmsii is an invasive copper (Cu)-tolerant neophyte in Europe. It now turned out to accumulate Cu up to more than 9,000 ppm in its shoots at 10 μm (=0.6 ppm) Cu2+ in the nutrient solution, indicating that it is a Cu hyperaccumulator. We investigated uptake, binding environment, and toxicity of Cu in this plant under emerged and submerged conditions. Extended x-ray absorption fine structure measurements on frozen-hydrated samples revealed that Cu was bound almost exclusively by oxygen ligands, likely organic acids, and not any sulfur ligands. Despite significant differences in photosynthesis biochemistry and biophysics between emerged and submerged plants, no differences in Cu ligands were found. While measurements of tissue pH confirmed the diurnal acid cycle typical for Crassulacean acid metabolism, Δ13C measurements showed values typical for regular C3 photosynthesis. Cu-induced inhibition of photosynthesis mainly affected the photosystem II (PSII) reaction center, but with some unusual features. Most obviously, the degree of light saturation of electron transport increased during Cu stress, while maximal dark-adapted PSII quantum yield did not change and light-adapted quantum yield of PSII photochemistry decreased particularly in the first 50 s after onset of actinic irradiance. This combination of changes, which were strongest in submerged cultures, shows a decreasing number of functional reaction centers relative to the antenna in a system with high antenna connectivity. Nonphotochemical quenching, in contrast, was modified by Cu mainly in emerged cultures. Pigment concentrations in stressed plants strongly decreased, but no changes in their ratios occurred, indicating that cells either survived intact or died and bleached quickly.
Effective lazy training method for deep q-network in obstacle avoidance and path planning

Deep reinforcement learning technique combines reinforcement learning and neural network for various applications. This paper is to propose an effective lazy training method for deep reinforcement learning, especially for deep Q-network combining neural network with Q-learning to be used for the obstacle avoidance and path planning applications. The proposed method can reduce the overall training time by designing a lazy learning method and a method removing unnecessary repetitions in the training step. These two methods can reduce a significant portion of total execution time without losing any required accuracy. The proposed method is evaluated for the obstacle avoidance and path planning tasks, where an agent trapped in an unknown environment is trying to find out the shortest path to the destination without any collision, through its self-study. And the experiment results show that the proposed method reduces 53.38% of training time on average, compared to the traditional method with no performance loss and make the training procedure more stable.
Semantic Annotation and Intelligent Content

This paper describes the semantic annotations we are performing on theCallHome Japanese corpus of spontaneous, unscripted telephone conversations (LDC, 1996). Our annotations include (i) semantic classes for all nouns and verbs; (ii) verb senses for all main verbs; and (iii) relations between main verbs and their complements in the same utterance. Our semantic tagset is taken from NTT’s Goi-Taikei semantic lexicon and ontology (Ikehara et al., 1997). A pilot study demonstrates that the verb sense tagging can be efficiently performed by native Japanese speakers using computergenerated HTML forms, and that good interannotator reliability can be obtained in the right conditions.
The prevalence of lower urinary tract symptoms in men and women in four centres. The UrEpik study

The topics covered in this section relate to areas of considerable interest for urologists everywhere. The UrEpik study is introduced in the ‘Comments’ section and the results of the study will appear in a series of papers published over the next few months. They will give a new insight into many aspects of LUTS.
MENSTRUAL CYCLE, PERFORMANCE AND PERCEPTION OF STRENGTH IN WOMEN'S ELITE SOCCER

de la Actividad Física y del Deporte / International Journal of Medicine and Science of Physical Activity and Sport ISSN: 1577-0354 vicente.martinez@uam.es Universidad Autónoma de Madrid España Guijarro, E. ; de la Vega, R. ; del Valle, S. CICLO MENSTRUAL, RENDIMIENTO Y PERCEPCIÓN DEL ESFUERZO EN JUGADORAS DE FÚTBOL DE ÉLITE Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte / International Journal of Medicine and Science of Physical Activity and Sport, vol. 9, núm. 34, junio, 2009, pp. 96-104 Universidad Autónoma de Madrid Madrid, España
Activation of tumor-cytostatic macrophages with the antitumor agent 9,10-anthracenedicarboxaldehyde bis[(4,5-dihydro-1H-imidazole-2-yl)hydrazone] dihydrochloride (bisantrene).

An investigation was carried out to determine the potential for activating tumor-inhibitory macrophages with the cytotoxic antitumor agent, bisantrene. Macrophages prepared from peritoneal exudates of mice treated i.p. with bisantrene were extremely active in inhibiting the growth of tumor cells. The minimal effective in vivo dose of this drug appeared to be 25 mg/kg, with peak activation being achieved at doses of 50 to 100 mg/kg. Effector cells became detectable 2 days after treatment and persisted for at least 4 weeks. Incubation of effector and target cells for 48 hr seemed necessary to achieve the maximum inhibitory effect. Treatment with carrageenan in vitro and in vivo abolished tumor cytostasis, whereas treatment with anti-T-cell antibody plus complement had no effect, suggesting that macrophages rather than T-lymphocytes were responsible for the observed results. Culture supernatants of activated macrophages were found to have antiproliferative effects on tumor cells, indicating that a cytostatic factor(s) was produced by these macrophages. Hydrogen peroxide and neutral proteases apparently did not function as cytostatic mediators since activated macrophages were resistant to treatment with catalase, N-alpha-p-tosyl-L-lysine chloromethyl ketone, and aprotinin. The present findings suggest that, in addition to direct toxicity to tumor cells, bisantrene may act as a macrophage-activating immunopotentiator. This observation may be of potential clinical usefulness in the design of immunochemotherapeutic trials for certain types of cancer.
Visual Development, Diagnosis, and Treatment of the Pediatric Patient

Introduction Robert H. Duckman THE DEVELOPMENT OF VISION Development of the Visual System Rowan Candy Visual Acuity in the Young Child Robert H. Duckman Contrast Sensitivity Function Karl Citek Refractive Error David E. FitzGerald Development of Eye Movements in Infants Jordan Pola Development of Accommodation in Human Infants Mark Rosenfield Development of Binocular Vision Robert H. Duckman and Jojo W. Du Development of Color Vision in Infants Israel Abramov and James Gordon EVALUATION OF VISUAL FUNCTION The Pediatric Case History Robert H. Duckman and Jessica Yang Infant/Toddler/Children's Visual Acuity: Practical Aspects Robert H. Duckman Assessment of Ocular Health Shoshana Bell and Robert H. Duckman Abnormalities of the Anterior Segment Pamela Hooker Abnormalities of the Posterior Segment Pamela Hooker Quantification of Refractive Error Amelia G. Bartolone and Daniella Rutner Pediatric and Adolescent Contact Lens Correction David P. Libassi and Ralph E. Gundel Evaluation of Ocular Motor Function Richard London Clinical Tests of Fusion and Stereopsis M.H. Esther Han and Robert H. Duckman Evaluation of Accommodation Ida Chung Pediatric Color Vision Testing Jay M. Cohen TREATMENT STRATEGIES IN THE PEDIATRIC PATIENT Prescribing Lenses for the Pediatric Patient Robert H. Duckman Options in Strabismus Valerie M. Kattouf Options in Amblyopia Valerie M. Kattouf Vision Therapy for the Very Young Patient Carl Gruning, David E. FitzGerald and Robert H. Duckman NORMAL AND ABNORMAL DEVELOPMENT Development of a Normal Child Robert H. Duckman and David A. Maze Visual Concerns in the Child with Special Needs Barry Kran and Melissa Suckow
Recently Confirmed Apoptosis-Inducing Lead Compounds Isolated from Marine Sponge of Potential Relevance in Cancer Treatment

Despite intense efforts to develop non-cytotoxic anticancer treatments, effective agents are still not available. Therefore, novel apoptosis-inducing drug leads that may be developed into effective targeted cancer therapies are of interest to the cancer research community. Targeted cancer therapies affect specific aberrant apoptotic pathways that characterize different cancer types and, for this reason, it is a more desirable type of therapy than chemotherapy or radiotherapy, as it is less harmful to normal cells. In this regard, marine sponge derived metabolites that induce apoptosis continue to be a promising source of new drug leads for cancer treatments. A PubMed query from 01/01/2005 to 31/01/2011 combined with hand-curation of the retrieved articles allowed for the identification of 39 recently confirmed apoptosis-inducing anticancer lead compounds isolated from the marine sponge that are selectively discussed in this review.
DiSC: Benchmarking Secure Chip DBMS

Secure chips, e.g. present in smart cards, USB dongles, i-buttons, are now ubiquitous in applications with strong security requirements. And they require embedded data management techniques. However, secure chips have severe hardware constraints which make traditional database techniques irrelevant. The main problem faced by secure chip DBMS designers is to be able to assess various design choices and trade-offs for different applications. Our solution is to use a benchmark for secure chip DBMS in order to (1) compare different database techniques, (2) predict the limits of on-chip applications, and (3) provide co-design hints. In this paper, we propose DiSC (Data management in Secure Chip), a benchmark which matches these three objectives. This work benefits from our long experience in developing and tuning data management techniques for the smart card. To validate DiSC, we compare the behavior of candidate data management techniques thanks to a cycle-accurate smart card simulator. Finally, we show the applicability of DiSC to future designs involving new hardware platforms and new database techniques.
Graph-based Traceability – A Comprehensive Approach

In recent years, traceability has been globally accepted as being a key success factor of software development projects. However, the multitude of different, poorly integrated taxonomies, approaches and technologies impedes the application of traceability techniques in practice. This paper presents a comprehensive view on traceability, pertaining to the whole software development process. Based on the state of the art, the field is structured according to six specific activities related to traceability: definition, recording, identification, maintenance, retrieval, and utilization. Using graph technology, a comprehensive and seamless approach for supporting these activities is derived, combining them in one single conceptual framework. This approach supports the definition of metamodels for traceability information, recording of traceability information in graphbased repositories, identification and maintenance of traceability relationships using transformations, as well as retrieval and utilization of traceability information using a graph query language. The approach presented here is applied in the context of the ReDSeeDS project that aims at requirementsbased software reuse. ReDSeeDS makes use of traceability information to determine potentially reusable architectures, design, or code artifacts based on a given set of reusable requirements. The project provides case studies from different domains for the validation of the approach.
Are the new starting block facilities beneficial for backstroke start performance?

Abstract We aimed to analyse the handgrip positioning and the wedge effects on the backstroke start performance and technique. Ten swimmers completed randomly eight 15 m backstroke starts (four with hands on highest horizontal and four on vertical handgrip) performed with and without wedge. One surface and one underwater camera recorded kinematic data. Standardised mean difference (SMD) and 95% confidence intervals (CI) were used. Handgrip positioning did not affect kinematics with and without wedge use. Handgrips horizontally positioned and feet over wedge displayed greater knee angular velocity than without it (SMD = −0.82; 95% CI: −1.56, −0.08). Hands vertically positioned and feet over wedge presented greater take-off angle (SMD = −0.81; 95% CI: −1.55, −0.07), centre of mass (CM) vertical positioning at first water contact (SMD = −0.97; 95% CI: −1.87, −0.07) and CM vertical velocity at CM immersion (SMD = 1.03; 95% CI: 0.08, 1.98) when comparing without wedge use. Swimmers extended the hip previous to the knee and ankle joints, except for the variant with hands vertically positioned without wedge (SMD = 0.75; 95% CI: −0.03, 1.53). Swimmers should preserve biomechanical advantages achieved during flight with variant with hands vertically positioned and wedge throughout entry and underwater phase.
Developing and Validating the Youth Conduct Problems Scale-Rwanda: A Mixed Methods Approach

This study developed and validated the Youth Conduct Problems Scale-Rwanda (YCPS-R). Qualitative free listing (n = 74) and key informant interviews (n = 47) identified local conduct problems, which were compared to existing standardized conduct problem scales and used to develop the YCPS-R. The YCPS-R was cognitive tested by 12 youth and caregiver participants, and assessed for test-retest and inter-rater reliability in a sample of 64 youth. Finally, a purposive sample of 389 youth and their caregivers were enrolled in a validity study. Validity was assessed by comparing YCPS-R scores to conduct disorder, which was diagnosed with the Mini International Neuropsychiatric Interview for Children, and functional impairment scores on the World Health Organization Disability Assessment Schedule Child Version. ROC analyses assessed the YCPS-R's ability to discriminate between youth with and without conduct disorder. Qualitative data identified a local presentation of youth conduct problems that did not match previously standardized measures. Therefore, the YCPS-R was developed solely from local conduct problems. Cognitive testing indicated that the YCPS-R was understandable and required little modification. The YCPS-R demonstrated good reliability, construct, criterion, and discriminant validity, and fair classification accuracy. The YCPS-R is a locally-derived measure of Rwandan youth conduct problems that demonstrated good psychometric properties and could be used for further research.
The Development of a Tool for the Preference Assessment of the Visual Aesthetics of an Object Using Interactive Genetic Algorithms

Abstract Interactive evolutionary algorithms (IEAs) have been proposed as creativity aids to designers with regard to visual aesthetics. Algorithms have been developed to expose the designer to new designs and thus spark imagination and improve creativity. The present paper focuses on utilizing interactive genetic algorithms (IGAs), a subset of IEAs, to understand the visual aesthetic preferences of the user. A design concept is input to the IGA program, which utilizes information gathered from the user to create new designs. The program collects preferences from the user in a simulated “marketplace” setting. These preferences inform the evolution of the object’s design over several generations until a final “ideal design" is reached. This "ideal design" is considered to be the most preferred visual aesthetics for that user within the specified design space. Monte Carlo simulations indicate that the IGA can locate such ideal designs with high probability. Human studies suggest that users can express their visual aesthetic preferences for a design with the IGA. This is important because few scientific tools exist for acquiring such preference information reliably and efficiently. Design decisions regarding visual aesthetics of a product often interact with its technical attributes. The proposed preference assessment tool aims to facilitate such interactions in a more analytical manner than is currently available.
Prognostic impact of hs-CRP and IL-6 in patients undergoing radiofrequency catheter ablation for atrial fibrillation

Aim. The aim of this study was to assess the predictive value of inflammatory markers in patients with paroxysmal/ persistent atrial fibrillation (AF) treated with radiofrequency (RF) catheter ablation. Methods. Forty-six consecutive patients, mean age 55 years (range 31 – 81 yrs), with paroxysmal or persistent AF were treated with either segmental or circumferential pulmonary vein isolation ablation technique. All patients presented with sinus rhythm on inclusion. Holter monitoring lasting at least 14 days was performed before ablation and after 3 months. Recurrent symptomatic AF or atrial tachycardia >10 minutes was considered failure and patients were offered a second ablation session. Interleukin-6 and high-sensitivity C-reactive protein were measured prior to ablation and at follow-up visits. Results. After a maximum of two ablations, 19 patients (41%) had SR without recurrence of AF after 12 months. Patients in SR had significantly lower left atrium diameter (p = 0.007) and lower values of both IL-6 (p = 0.007) and hs-CRP (p = 0.018) at baseline before ablation. IL-6 concentration prior to ablation was an independent predictor of recurrent AF (p = 0.027). Conclusion. In patients with a history of paroxysmal or persistent AF treated with RF catheter ablation, elevated levels of IL-6 and hs-CRP before ablation are independent predictors of recurrence of AF.
GlandVision: A Novel Polar Space Random Field Model for Glandular Biological Structure Detection

In this paper, we propose a novel method for detecting glandular structures in microscopic images of human tissue. We first transform the image from Cartesian space to polar space and introduce a novel random field model with an efficient inference strategy that uses two simple chain graphs to approximate a circular graph to infer possible boundary of a gland. We then develop a visual feature based support vector regressor (SVR) to verify if the inferred contour corresponds to a true gland. And finally, we combine the outputs of the random field and the regressor to form the GlandVision algorithm for the detection of glandular structures. In the experiments, we treat the task of detecting glandular structures as object (gland) proposal, detection and segmentation problems respectively and show that our new technique outperforms state of the art computer vision algorithms developed for generic objects.
Network- facilitated voltage stability control strategy for power distribution systems

This paper proposes a new computer network-facilitated voltage stability control strategy for electricity power distribution systems connected with distributed generations. The proposed strategy aims to determine stability enhancement operations on two aspects: one is to increase power system operation security during normal conditions, and the other is to save a distribution system from imminent voltage collapse due to contingencies. The operations include coordinated local generating, load tap changing, load shedding, etc. This paper shows the use of state-of-the-art digital signal processing technology for determining correct operation security enhancement and voltage instability controls, and the application of modern computer networking technology for monitoring of distribution system operating states and transmitting of data and stability control commands. This paper presents the design of a new architecture for network monitoring, data transmitting, and control delivering. This architecture is fault tolerant and is specially designed for monitoring distribution systems with multiple (over hundred) feeder nodes.