Miracle-dz/UniFAR-FTUs huggingface dataset:
Can traditional programming bridge the Ninja performance gap for parallel computing applications?

Current processor trends of integrating more cores with wider SIMD units, along with a deeper and complex memory hierarchy, have made it increasingly more challenging to extract performance from applications. It is believed by some that traditional approaches to programming do not apply to these modern processors and hence radical new languages must be discovered. In this paper, we question this thinking and offer evidence in support of traditional programming methods and the performance-vs-programming effort effectiveness of common multi-core processors and upcoming manycore architectures in delivering significant speedup, and close-to-optimal performance for commonly used parallel computing workloads. We first quantify the extent of the “Ninja gap”, which is the performance gap between naively written C/C++ code that is parallelism unaware (often serial) and best-optimized code on modern multi-/many-core processors. Using a set of representative throughput computing benchmarks, we show that there is an average Ninja gap of 24X (up to 53X) for a recent 6-core Intel® Core™ i7 X980 Westmere CPU, and that this gap if left unaddressed will inevitably increase. We show how a set of well-known algorithmic changes coupled with advancements in modern compiler technology can bring down the Ninja gap to an average of just 1.3X. These changes typically require low programming effort, as compared to the very high effort in producing Ninja code. We also discuss hardware support for programmability that can reduce the impact of these changes and even further increase programmer productivity. We show equally encouraging results for the upcoming Intel® Many Integrated Core architecture (Intel® MIC) which has more cores and wider SIMD. We thus demonstrate that we can contain the otherwise uncontrolled growth of the Ninja gap and offer a more stable and predictable performance growth over future architectures, offering strong evidence that radical language changes are not required.
Novel vector non-linear measurement system for intermodulation measurements

This paper presents a novel approach to measure intermodulation distortion by using vector non-linear techniques. For non-linear and multi-port measurement it is necessary to extend the vector network analyzer with a phase reference and an addition test set to measure intermodulation reflection measurement. This system allows users to accurately determine the magnitude and phase of non-linear scattering parameters such as harmonic products of non-linear devices. The accuracy of the vector intermodulation reflection measurements is verified by various measurements presented in this paper.
Primary follicular lymphoma of the gastrointestinal tract: a study of 25 cases and a literature review.

BACKGROUND To describe better the clinical, biological, endoscopic and pathological presentations, as well as the outcome, of primary follicular lymphoma (FL) of the gastrointestinal (GI) tract. PATIENTS AND METHODS From November 1983 to February 2001, 25 eligible patients with primary FL of the GI tract were retrieved from several French Departments of Pathology departments based on histological diagnosis and immunophenotype. Median age was 56 years (range 44-71) with a sex ratio female/male of 2 (17/8). RESULTS Abdominal pain was the main presenting symptom followed by intestinal obstruction. The small intestine was the most common site of involvement. Lesions were unifocal in the majority of patients (15/25). A pattern similar to lymphomatous polyposis was observed in 50% (7/14) of patients. Twelve patients had stage I, 10 patients stage II and three patients stage IV disease, and there was minimal extra intestinal involvement. Lymphoma tissues were composed of neoplastic follicles, most of which were grade 1 according to the World Health Organization (WHO) classification. The immunophenotype of the lymphoma cells was CD20+, CD10+, bcl2+ and CD5-. In tissue samples, IgH/bcl2 rearrangement at the MBR locus was present in 11 of 14 patients tested. Seven patients did not receive any treatment; four of them progressed after a median follow-up of 37.5 months. Treatment was otherwise heterogeneous, and complete remission was obtained in 15 patients which lasted for a median of 31 months. Relapses were either in the GI tract (n = 3) or outside the GI tract (n = 3). After a median follow-up of 34 months (range 5-203), 22 patients were still alive (complete remission, 11; partial remission, three; stable disease, six; progressive disease, two). CONCLUSIONS Primary FL of the GI tract is a predominantly female lymphoma that most frequently involves the small intestine. Since the endoscopic and clinical presentation may not be different from lymphomatous polyposis, which is often associated with mantle cell origin of tumor cells, it is mandatory to perform an immunohistological and, if possible, a molecular analysis of GI lymphoma. The course of the disease is indolent and does not differ from nodal FL. Thus, therapy may not be required unless significant clinical symptoms are present or until disease progression.
DBOWL: Towards a Scalable and Persistent OWL Reasoner

With the increasing development of real applications using Semantic Web Technologies, it is necessary to provide scalable and efficient ontology querying and reasoning systems. In this paper we present DBOWL, a persistent and scalable OWL reasoner. Ontologies are stored in a relational database, using a description logic reasoner to pre-compute the class and property hierarchies and to obtain all the ontology information (i.e. properties domain and range) which is also stored in the database. Furthermore, a simple but expressive query language has been implemented, which allows us to query and reason on these ontologies. In order to show the use of the tool, we present an example that generates a relational database to store the Univ-Bench ontology. Finally, in order to asses the performance of our tool, we use LUMB, a well known benchmark to compare repositories in the Semantic Web extending it with more complex queries, and we compare the results obtained with Minerva. The results show the efficiency and scalability of DBOWL and the power of the query language.
Novice Programming Environments. Scratch & App Inventor: a first comparison

The teaching of programming has been acknowledged as a difficult task since its first introduction in schools. The learning results are unsatisfactory, raising questions about the effectiveness of the method used. As it seems, students usually consider programming as a boring and tiring procedure. The problem would be solved if we could make the introductory programming easy and entertaining for the students. This can be achieved by reducing the obstacles for the introduction of programming with the use of special programming environments for the beginners such as Scratch and the App Inventor both of which have been created by MIT. Our research focuses on the similarities and differences between the above mentioned programming environments in our effort to find which of the two is the most appropriate for schools.
ANALYSIS OF NON ALIGNED DOUBLE JPEG COMPRESSION TECHNIQUES FOR IMAGE FORGERY DETECTION

This paper focuses on analytical study of digital image forgery techniques for detecting Non Aligned Double JPEG Compression . If a region is randomly cropped and pasted within the same image ,the blocks within an image get non aligned.The behavior study of such scenario is done using two important features IPM and DIPM to calculate minimum entropies.Weka classifier classifies these entropies and work on 5cross validation and calculates the accuracy of the proposed scenario. Experiment results on a set of about 100 uncompressed and 100 tampered images ,with various parameter settings is done to demonstrates the accuracy of the scenario.
Encapsulation of fluorogenic probes and pharmacologically active molecules into nanoparticles for enhancing cellular uptake

Polymeric nanoparticles have been considered to have the potential to improve drug delivery to the desired site of action and to enable delivery of poorly soluble, poorly absorbed or unstable drugs. In this work, two types of active substances have been chosen for encapsulation in polymeric nanoparticles: fluorogenic probes for intracellular targeting of the reduced glutathione (GSH), namely ortho-phthaldialdehyde (OPA) and naphthalene-2,3-dicarboxaldehyde (NDA), as well as salmon calcitonin (sCT) which is a polypeptide hormone. The probe or sCT-loaded nanoparticles were obtained using a simple or double emulsion solvent evaporation method, respectively. The obtained nanoparticles were thoroughly characterized, e.g. in terms of the size, zeta potential, encapsulation efficiency, drug (probe) release, cytotoxicity or microscopic morphology and thermal properties. NDA-loaded nanoparticles were incubated with yeast cells and intracellular NDA-GSH adduct levels increased by about 9-times in comparison with the free probe. In the case of sCT, the in vivo study was conducted in rats, and it was demonstrated that after subcutaneous injection of sCT-loaded nanoparticles, elevated serum sCT levels could be sustained for 3 days. In conclusion, the active molecules incorporated in polymeric nanoparticles achieved the better cellular uptake (NDA) and bioavailability (sCT) that the non encapsulated ones.
Momento: support for situated ubicomp experimentation

We present the iterative design of Momento, a tool that providesintegrated support for situated evaluation of ubiquitouscomputing applications. We derived requirements for Momento from a user-centered design process that includedinterviews, observations and field studies of early versionsof the tool. Motivated by our findings, Momento supportsremote testing of ubicomp applications, helps with participantadoption and retention by minimizing the need for newhardware, and supports mid-to-long term studies to addressinfrequently occurring data. Also, Momento can gather logdata, experience sampling, diary, and other qualitative data.
Evaluation of Aggregated Ag85B Antigen for Its Biophysical Properties, Immunogenicity, and Vaccination Potential in a Murine Model of Tuberculosis Infection

Protein aggregates have been reported to act as a reservoir that can release biologically active, native form of precursor protein. Keeping this fact into consideration, it is tempting to exploit protein aggregate-based antigen delivery system as a functional vaccine to expand desirable immunological response in the host. Herein, we explored the capacity of aggregated Ag85B of Mycobacterium tuberculosis (Mtb) to act as a prophylactic vaccine system that releases the precursor antigen in slow and sustained manner. Being particulate system with exposed hydrophobic residues, aggregated Ag85B is likely to be avidly taken up by both phagocytosis as well as fusion with plasma membrane of antigen presenting cells, leading to its direct delivery to their cytosol. Its unique ability to access cytosol of target cells is further evident from the fact that immunization with aggregated Ag85B led to the induction of Th1-dominant immune response along with upregulated expression of qualitatively superior polyfunctional T cells in the mice. Antibodies generated following immunization with aggregated antigen recognized both native and monomeric Ag85B released from protein aggregate. The implicated immunization strategy offers protection at par to that of established BCG vaccine with desirable central and effector memory responses against subsequent Mtb aerosol challenge. The study highlights the potential of aggregated Ag85B as promising antigen delivery system and paves the way to design better prophylactic regimes against various intracellular pathogens including Mtb.
PESE Influences on Olympic Performance

The Olympic Game being considered as the most competitive and major sport event in the world. Consequently, studies based on Olympic performance yield an important place in the sport studies. The main purpose of this study is to examine the predication capacity of predicators which have been reviled by several authors previously. Among those studies predicting Olympic performance takes a significant stand. This study reviled the significance of political, economic, socio-cultural, and ecological (PESE) factors in predicting the performances of Olympic Game. The basic political background, GDP per capita, population size, HDI and host city advantages were considered to represent those factors respectively. Year 2000, 2004, 2008 and 2012 Olympic Games, and countries at least taken one medal in each game were selected for the sample. As the nature of the study, secondary data were associated and used official published reports that relevant to those dimensions of variables to maintain the validity of the data. The step wise multiple regression analysis was employed to measure the predication capacity of the independent variables with the inferential statistics of the model. The degree of determinants of the overall model was 0.32 means that the reading capacity of the dependent variable by the independent variables is 32%. All estimation of the model were statistically significance at 95% level of confidence. The above results shows that weak relationship of all factors with Olympic performance and therefore it can be concluded PESE related factors do not help considerably to predict the Olympic performance.
FEEDING-INDUCED RAPID RESETTING OF THE HEPATIC CIRCADIAN CLOCK IS ASSOCIATED WITH ACUTE INDUCTION OF PER2 AND DEC1 TRANSCRIPTION IN RATS

The synchronization of the master clock to photic cues is associated with a rapid induction of Per1, which plays an important role in initiating light-induced circadian resetting. However, the transcriptional mechanisms of clock gene expression in food-entrainable peripheral clocks have not been fully assessed. To understand how food cues might entrain a mammalian peripheral clock, we examined the responses in the expression of clock genes in rat livers to different feeding stimuli. The food-entrainable liver clock is more flexible than the light-entrainable SCN clock and can be reset rapidly at any time of day. A 30 min feeding stimulus was sufficient to significantly induce the expression of Per2 and Dec1 within 1 h and alter the transcript levels and circadian phases of other selected clock genes (Bmal1, Cry1, Per1, Per3, Dec2, and Rev-erba) in the liver clock at longer time intervals. Moreover, among the examined clock genes, Per2 was most sensitive to food cues, which could be significantly induced by a minimal amount of food. Furthermore, in contrast to the other hepatic clock genes, the feeding reversal-induced 12 h phase shift of Per2 could be rapidly and consistently accomplished, regardless of the shift of the light/dark cycle. In conclusion, the feeding-induced resetting of the circadian clock in the liver is associated with the acute induction of Per2 and Dec1 transcription, which may serve as the main and secondary input regulators that initiate this feeding-induced circadian resetting. (Author correspondence: azwfu2003@yahoo.com.cn)
Von Willebrand's Disease

When small amounts of adenosine diphosphate are added to citrated platelet-rich plasma, the consequent modification of platelets leads to a decrease in optical density. In Von Willebrand's disease the optical density at 610 m,u increases instead of decreasing. This finding is used to study the effects of treatment on this disorder. differs decrease The effects of are
Operating the Copernicus Global Land Service

From 1 January 2013, the Copernicus Global Land Service is operational, providing continuously a set of biophysical variables describing the vegetation conditions, the energy budget at the continental surface and the water cycle over the whole globe. Essential Climate Variables like the Leaf Area Index (LAI), the Fraction of PAR absorbed by the vegetation (FAPAR), the surface albedo, the Land Surface Temperature, the soil moisture, the burnt areas, the areas of water bodies, and additional vegetation indices, dry matter productivity and TOC reflectance, are generated every hour, every day or every 10 days on a reliable and automatic basis from Earth Observation satellite data. The service and its products are continuously checked on technical and scientific quality. In view of service continuity, the existing retrieval methodologies are being adapted to new sensors (e.g. Proba-V and the Sentinels), taking the benefit of the increased resolution.
Multiresolution Approximation of Polygonal Curves in Linear Complexity

We propose a new algorithm to the problem of polygonal curve approximation based on a multiresolution approach. This algorithm is suboptimal but still maintains some optimality between successive levels of resolution using dynamic programming. We show theoretically and experimentally that this algorithm has a linear complexity in time and space. We experimentally compare the outcomes of our algorithm to the optimal "full search" dynamic programming solution and finally to classical merge and split approaches. The experimental evaluations confirm the theoretical derivations and show that the proposed approach evaluated on 2D coastal maps either show a lower time complexity or provide polygonal approximations closer to the input discrete curves.
Nitric oxide reverses prostaglandin-induced inhibition in ovarian progesterone secretion in rats.

The present studies were undertaken to determine whether nitric oxide (NO) is involved in the regulation of ovarian progesterone and oestradiol secretion in rats. Immature female Sprague-Dawley rats at 27 days of age were injected s.c. with 4 IU pregnant mare's serum gonadotrophin (PMSG) and were killed 72 h after the injection. The ovaries were collected, weighed and cultured in Dulbecco's modified Eagle's medium containing saline, NO donor, NO synthesis inhibitor or prostaglandin F2 alpha (PGF2 alpha). After 24 h culture, the medium concentrations of progesterone and oestradiol were measured by radioimmunoassay. Results showed that: (i) diethylenetriamine (DETA)/NO (1 x 10(-6), 1 x 10(-5), 1 x 10(-4) M), an NO donor, caused a dose-dependent increase in progesterone synthesis (355 +/- 43, 443 +/- 46, 647 +/- 55 ng/g ovary respectively, P < 0.01) with a concomitant decrease in ovarian oestradiol secretion (408.1 +/- 50.7, 272.9 +/- 28.2, 132.6 +/- 34.6 pg/g ovary respectively, P < 0.01); (ii) neither progesterone nor oestradiol concentrations in the culture medium were altered by DETA without NO; (iii) NG-nitro-l-arginine methyl ester (1 x 10(-4) M), an inhibitor of NO synthesis, did not significantly affect progesterone and oestradiol secretion by rat ovaries; (iv) PGF2 alpha(1 x 10(-6) M) caused a fall in progesterone and oestradiol synthesis; (v) co-incubation with DETA/NO, significantly reversed the PGF2 alpha-induced decrease in progesterone concentrations from 184 +/- 29 to 388 +/- 60 ng/g (P < 0.01), but not that of oestradiol. It can be concluded that NO up-regulates progesterone secretion and down-regulates oestradiol secretion in rat ovaries, and NO can reverse PGF2 alpha-induced inhibition in ovarian progesterone secretion.
Torque: topology-free querying of protein interaction networks

Torque is a tool for cross-species querying of protein–protein interaction networks. It aims to answer the following question: given a set of proteins constituting a known complex or a pathway in one species, can a similar complex or pathway be found in the protein network of another species? To this end, Torque seeks a matching set of proteins that are sequence similar to the query proteins and span a connected region of the target network, while allowing for both insertions and deletions. Unlike existing approaches, Torque does not require knowledge of the interconnections among the query proteins. It can handle large queries of up to 25 proteins. The Torque web server is freely available for use at http://www.cs. tau.ac. il/∼bnet/torque.html.
Age, Training, and Previous Experience Predict Race Performance in Long-Distance Inline Skaters, Not Anthropometry

The association of characteristics of anthropometry, training, and previous experience with race time in 84 recreational, long-distance, inline skaters at the longest inline marathon in Europe (111 km), the Inline One-eleven in Switzerland, was investigated to identify predictor variables for performance. Age, duration per training unit, and personal best time were the only three variables related to race time in a multiple regression, while none of the 16 anthropometric variables were related. Anthropometric characteristics seem to be of no importance for a fast race time in a long-distance inline skating race in contrast to training volume and previous experience, when controlled with covariates. Improving performance in a long-distance inline skating race might be related to a high training volume and previous race experience. Also, doing such a race requires a parallel psychological effort, mental stamina, focus, and persistence. This may be reflected in the preparation and training for the event. Future studies should investigate what motivates these athletes to train and compete.
USE OF GEOGRAPHICAL INFORMATION SYSTEM FOR THE EVALUATION OF SOLID WASTE MANAGEMENT PRACTICE IN KHULNA CITY

Generation and characteristics of municipal solid waste (MSW) in Khulna city has been analyzed along with the associated environmental impacts and existing MSW practices with the help of geographical information system (GIS). The status of the existing municipal solid waste management (MSWM) such as generation, collection, on-site storage, transportation and open dumping has been identified. The daily generation of MSW is estimated about 520 tonnes of which food and vegetable wastes are the main components (79% on average). GIS is used to locate and to analysis the existing waste collecting bins and containers. This study shows that GIS can be treated as a decision support tool for ensuring and practicing efficient collection system of MSW.
Seismic data interpolation using frequency‐domain complex nonstationary autoregression

We have developed a novel method for missing seismic data interpolation using f‐x‐domain regularised nonstationary autoregression. f‐x regularised nonstationary autoregression interpolation can deal with the events that have space‐varying dips. We assume that the coefficients of f‐x regularised nonstationary autoregression are smoothly varying along the space axis. This method includes two steps: the estimation of the coefficients and the interpolation of missing traces using estimated coefficients. We estimate the f‐x regularised nonstationary autoregression coefficients for the completed data using weighted nonstationary autoregression equations with smoothing constraints. For regularly missing data, similar to Spitz f‐x interpolation, we use autoregression coefficients estimated from low‐frequency components without aliasing to obtain autoregression coefficients of high‐frequency components with aliasing. For irregularly missing or gapped data, we use known traces to establish nonstationary autoregression equations with regularisation to estimate the f‐x autoregression coefficients of the complete data. We implement the algorithm by iterated scheme using a frequency‐domain conjugate gradient method with shaping regularisation. The proposed method improves the calculation efficiency by applying shaping regularisation and implementation in the frequency domain. The applicability and effectiveness of the proposed method are examined by synthetic and field data examples.