Miracle-dz/UniFAR-FTUs huggingface dataset:
Monitoring e-business Web services usage through a log based architecture

The emergence of Web services represents a significant advance in the continuing evolution of e-business. In order to fully explore business opportunities provided by this paradigm, it is important to track its utilization. This can be done through the use of logging facilities. However, current Web logging approaches do not contemplate Web services utilization. This paper presents a Web services logging architecture based on SOAP intermediaries that captures comprehensive services usage information, which can be explored to improve B2B and B2C transactions by providing feedback on customer electronic behavior.
Semantics-Preserving Bag-of-Words Models and Applications

The Bag-of-Words (BoW) model is a promising image representation technique for image categorization and annotation tasks. One critical limitation of existing BoW models is that much semantic information is lost during the codebook generation process, an important step of BoW. This is because the codebook generated by BoW is often obtained via building the codebook simply by clustering visual features in Euclidian space. However, visual features related to the same semantics may not distribute in clusters in the Euclidian space, which is primarily due to the semantic gap between low-level features and high-level semantics. In this paper, we propose a novel scheme to learn optimized BoW models, which aims to map semantically related features to the same visual words. In particular, we consider the distance between semantically identical features as a measurement of the semantic gap, and attempt to learn an optimized codebook by minimizing this gap, aiming to achieve the minimal loss of the semantics. We refer to such kind of novel codebook as semantics-preserving codebook (SPC) and the corresponding model as the Semantics-Preserving Bag-of-Words (SPBoW) model. Extensive experiments on image annotation and object detection tasks with public testbeds from MIT's Labelme and PASCAL VOC challenge databases show that the proposed SPC learning scheme is effective for optimizing the codebook generation process, and the SPBoW model is able to greatly enhance the performance of the existing BoW model.
Severe Hypoglycemia and Cardiovascular or All-Cause Mortality in Patients with Type 2 Diabetes

Background We investigated the association between severe hypoglycemia (SH) and the risk of cardiovascular (CV) or all-cause mortality in patients with type 2 diabetes. Methods The study included 1,260 patients aged 25 to 75 years with type 2 diabetes from the Vincent Type 2 Diabetes Resgistry (VDR), who consecutively enrolled (n=1,260) from January 2000 to December 2010 and were followed up until May 2015 with a median follow-up time of 10.4 years. Primary outcomes were death from any cause or CV death. We investigated the association between the CV or all-cause mortality and various covariates using Cox proportional hazards regression analysis. Results Among the 906 participants (71.9%) who completed follow-up, 85 patients (9.4%) had at least one episode of SH, and 86 patients (9.5%) died (9.1 per 1,000 patient-years). Patients who had died were older, had a longer duration of diabetes and hypertension, received more insulin, and had more diabetic microvascular complications at baseline, as compared with surviving patients. The experience of SH was significantly associated with an increased risk of all-cause mortality (hazard ratio [HR], 2.64; 95% confidence interval [CI], 1.39 to 5.02; P=0.003) and CV mortality (HR, 6.34; 95% CI, 2.02 to 19.87; P=0.002) after adjusting for sex, age, diabetic duration, hypertension, mean glycosylated hemoglobin levels, diabetic nephropathy, lipid profiles, and insulin use. Conclusion We found a strong association between SH and increased risk of all-cause and CV mortality in patients with type 2 diabetes.
AGEs and Glucose Levels Modulate Type I and III Procollagen mRNA Synthesis in Dermal Fibroblasts Cells Culture

In the dermis, fibroblasts play an important role in the turnover of the dermal extracellular matrix. Collagen I and III, the most important dermal proteins of the extracellular matrix, are progressively altered during ageing and diabetes. For mimicking diabetic conditions, the cultured human dermal fibroblasts were incubated with increasing amounts of AGE-modified BSA and D-glucose for 24 hours. The expression of procollagen α2(I) and procollagen α1(III) mRNA was analyzed by quantitative real-time PCR. Our data revealed that the treatment of fibroblasts with AGE-modified BSA upregulated the expression of procollagen α2(I) and procollagen α1(III) mRNA in a dose-dependent manner. High glucose levels mildly induced a profibrogenic pattern, increasing the procollagen α2(I) mRNA expression whereas there was a downregulation tendency of procollagen α1(III) mRNA.
BEST MANAGEMENT PRACTICES EFFECTIVENESS TO REDUCE SEDIMENT TRANSPORT TO MORRO BAY

The Morro Bay Watershed, which is located in San Luis Obispo County, California, covers more than 48,000 acres of land and discharges into Morro Bay through the Morro Bay National Estuary (MBNE). The Chorro Creek Subwatershed consists of approximately 30,000 acres of the overall watershed. The MBNE provides an ecosystem that supports a variety of wildlife from the common sea gull to the endangered sea otter. The estuary is also home to over 200 species of birds. The operational waterfront of the Morro Bay Harbor was and continues to be a strong supporter to the local economy of the City of Morro Bay. Numerous studies were conducted since the 1990s throughout the watershed to study the sedimentation of the estuary and bay and identified accelerated erosion and subsequent sedimentation as a major threat to sustainability of the bay. As a result, various Best Management Practices (BMPs) were implemented in the watershed to reduce sediment loading and transport to the bay. Localized evaluations of various BMPs have been performed to investigate effectiveness of individual BMPs. This paper consolidates this information and develops a comprehensive spatially distributed watershed simulation model (1) for detailed understanding of the erosion and sedimentation processes in the watershed; (2) to evaluate a watershed scale effectiveness of the conservation practices that were installed in the watershed; (3) to identify optimal BMP types and sites that may be used in the future to further reduce sedimentation of the bay at minimal cost; (4) to organize and document the various sources of data and studies that have been performed to date in the Chorro Creek subwatershed. Soil and Water Assessment Tool (SWAT) was used to develop the model and to evaluate the pre-and post-BMP implementation characteristics in the subwatershed. Combining the data and efforts of past BMP evaluations, land use, soil type, climate data, and streamflow data, statistical evaluations, and model sensitivity analysis will help build and calibrate a robust SWAT model that can be used to track BMP evaluation efforts, as well as other watershed management tasks. Through the evaluation of BMPs in the watershed, efforts can be made to implement the more successful BMPs in the watershed or in other similar watersheds. Sensitivity analysis was performed using a global sensitivity analysis method and streamflow and sediment yield was calibrated using the Shuffled Complex Evolution-University of Arizona.
AO-spectrum analyzer implementation into CDMA- telecommunications with enhanced SIR-factors

The devices for real-time narrowband interference measurements within the code division multiple access (CDMA) cellular communication system on the base of the acousto-optic spectrum analyzer (AOSA) with satisfactory performances can be designed. The overlay model giving significant advantages in the interference immunity for simultaneous operation of the wideband (CDMA) and the narrowband time division multiple access (TDMA) cellular systems is proposed.
Stochastic Convergence of Persistence Landscapes and Silhouettes

Persistent homology is a widely used tool in Topological Data Analysis that encodes multiscale topological information as a multi-set of points in the plane called a persistence diagram. It is difficult to apply statistical theory directly to a random sample of diagrams. Instead, we can summarize the persistent homology with the persistence landscape, introduced by Bubenik, which converts a diagram into a well-behaved real-valued function. We investigate the statistical properties of landscapes, such as weak convergence of the average landscapes and convergence of the bootstrap. In addition, we introduce an alternate functional summary of persistent homology, which we call the silhouette, and derive an analogous statistical theory.
Standard Addition Quantitative Real-Time PCR (SAQPCR): A Novel Approach for Determination of Transgene Copy Number Avoiding PCR Efficiency Estimation

Quantitative real-time polymerase chain reaction (qPCR) has been previously applied to estimate transgene copy number in transgenic plants. However, the results can be erroneous owing to inaccurate estimation of PCR efficiency. Here, a novel qPCR approach, named standard addition qPCR (SAQPCR), was devised to accurately determine transgene copy number without the necessity of obtaining PCR efficiency data. The procedures and the mathematical basis for the approach are described. A recombinant plasmid harboring both the internal reference gene and the integrated target gene was constructed to serve as the standard DNA. It was found that addition of suitable amounts of standard DNA to test samples did not affect PCR efficiency, and the guidance for selection of suitable cycle numbers for analysis was established. Samples from six individual T0 tomato (Solanum lycopersicum) plants were analyzed by SAQPCR, and the results confirmed by Southern blot analysis. The approach produced accurate results and required only small amounts of plant tissue. It can be generally applied to analysis of different plants and transgenes. In addition, it can also be applied to zygosity analysis.
Cognitive assessment in elderly patients admitted to hospital: the relationship between the Abbreviated Mental Test and the Mini-Mental State Examination

Objective: To determine the relationship between Abbreviated Mental Test (AMT) and the Mini-Mental State Examination (MMSE) in elderly patients admitted to hospital. Design: Prospective study of 364 consecutive admissions to an elderly medicine unit. Eighty-eight (24.2%) patients were excluded. The AMT and MMSE were administered to the remaining 276 patients and the relationship between the two tests evaluated statistically. Setting: Inner city teaching hospital. Subjects: Two hundred and seventy-six patients admitted to the elderly medicine unit during October and November 1997. Main outcome measures: Predictive efficiency of the AMT for cognitive state by MMSE (the percentage of patients whose cognitive state by the MMSE was correctly categorized by the AMT). Association and predictive relationship between individual AMT and MMSE scores. Results: There was a significant relationship between cognitive state as determined by the AMT and MMSE:2 = 101.3, df = 1, p <0.001. The predictive efficiency of the AMT was 79.0% (218/276). A strong association was found between the AMT and MMSE (Somers' d statistic 0.75: p <0.001). Simple linear regression allowed prediction of the MMSE score from the AMT score as follows: MMSE score = 7.06 + (1.94 × AMT score); p <0.001. Conclusions: In patients admitted to the elderly medicine unit, the AMT gave predictive information about cognitive status as determined by the MMSE, and also a prediction of likely MMSE score.
Temporal and spatial domain-specific transcriptomic analysis of a vital reproductive meristem in Arabidopsis thaliana

Background Plant meristems are analogous to animal stem cell niches as they maintain a pool of undifferentiated cells that divide and differentiate to give rise to organs. The carpel margin meristem is a vital, multi-potent structure located in the medial domain of the Arabidopsis thaliana gynoecium, the female floral reproductive organ. The carpel margin meristem generates ovules that upon fertilization become seeds. The molecular mechanisms that specify this meristematic region and regulate its organogenic potential are poorly understood. Here, we present an analysis of the transcriptional profile of the medial domain of the Arabidopsis gynoecium highlighting the developmental stages that immediately proceed ovule initiation, the earliest stages of seed development. Results Using a floral synchronization system and a SHATTERPROOF2 domain-specific reporter, paired with fluorescence-activated cell sorting and RNA sequencing, we assayed the transcriptome of the gynoecial medial domain with temporal and spatial precision. This analysis reveals a set of genes that are differentially expressed within the SHATTERPROOF2 expression domain that marks portions of the developing medial domain. Many members of this gene set have been shown previously to function during the development of medial domain-derived structures, including the ovules, thus validating our approach. Other uncharacterized members including differentially expressed cis-natural antisense transcripts, are potential novel regulators of medial domain development. Members of the REPRODUCTIVE MERISTEM (REM) family of transcriptional regulators were enriched in the SHATTERPROOF2-expressing cell population including a previously unrecognized REM family member. Finally, the analysis transcriptional isoforms in the medial domain identified genes that may exhibit “isoform switching” behavior during gynoecial development. Conclusions This data set provides genome-wide transcriptional insight into the development of the gynoecial medial domain that contains the carpel margin meristem, a vital reproductive structure that gives rise to the ovules in Arabidopsis thaliana.
An advanced synergetic algorithm for aerosol optical depth retrieval from HJ-1A HSI and Terra MODIS data based on mutual information

In this paper, an advanced synergetic algorithm for aerosol retrieval from small satellite data is presented and applied on MODerate resolution Imaging Spectroradiometer (MODIS) and the Hyper-Spectral Imager (HSI) data from China HJ-1A satellite of the Environment and Disasters Monitoring Microsatellite Constellation. Using this algorithm, 500m MODIS data are downscaled to 100m based on maximal mutual information. By synergy of MODIS and HJ-1A HSI data, we obtained 100m × 100m aerosol optical depth (AOD) at 550nm over Beijing City, on April 5, 2009. Comparison with Aerosol Robotic Network (AERONET) measurement data, our results have good precision. The correlation coefficient is about 0.86 and the uncertainty is found to be Δτ = ±0.01 ± 0. 23τ. From 100m AOD map, we can see more details of aerosols' spatial distribution. It is very useful and powerful for urban air quality monitoring.
On Heterogeneous Overlay Construction and Random Node Selection in Unstructured P2P Networks

Unstructured p2p and overlay network applications often require that a random graph be constructed, and that some form of random node selection take place over that graph. A key and difficult requirement of many such applications is heterogeneity: peers have different node degrees in the random graph based on their capacity. Using simulations, this paper compares a number of techniques—some novel and some variations on known approaches—for heterogeneous graph construction and random node selection on top of such graphs. Our focus is on practical criteria that can lead to a genuinely deployable toolkit that supports a wide range of applications. These criteria include simplicity of operation, support for node heterogeneity, quality of random selection, efficiency and scalability, load balance, and robustness. We show that all these criteria can more-or-less be met by all the approaches. Our novel approach, however, stands out as the best from a practical perspective because of its simplicity: it achieves the criteria while requiring each node to set only a single tuning parameter, its desired relative load.
Particle Swarm Optimization with Protozoic Behaviour

Nature inspired algorithms implement successful optimization and adaptation strategies observed in the nature. Various bio-inspired algorithms mimic the behavioural patterns of plants, animals, their communities and their evolution. Surprisingly, the behavioural patterns and survival strategies of protozoa, one of the most prevalent and successful species on Earth, did not receive significant attention from the bio-inspired computing community until present time. This study proposes a new variant of Particle Swarm Optimization incorporating behaviour inspired by protozoa and evaluates the performance of such an algorithm on a set of well known test functions.
MRI evaluation of lumbar spine flexion and extension in asymptomatic individuals.

Flexion and extension movements or positions have been advocated in the treatment of various forms of low back dysfunction due to the potential pain relieving effects attributed to displacements of the intervertebral disc (IVD). Objective in vivo determination of the segmental behaviour of the disc to contrasting positions has until recently been difficult. Magnetic resonance imaging (MRI) was used in this study to evaluate the influence of sagittal plane positions on lumbar IVD height and nucleus displacement in a small asymptomatic population.T2-weighted sagittal plane images from L1 to S1 were obtained from 10 subjects (mean age: 30+/-5 years) positioned supine in lumbar flexion, followed by extension. Changes in disc height and localization of nucleus position (determined by peak MRI signal intensity) between the two positions were calculated. Discs were classified for degenerative changes using a semi-quantitative grading scale. The mean range of lumbar sagittal movement achieved in the MRI was 44 degrees (range: 22-77 degrees ). Between flexion and extension, a significant increase in measured anterior disc height of 1.1 mm (P<0.0001) and anterior displacement of the nucleus of 6.7% (P<0.0001) was observed. Despite the anterior displacement of the nucleus in extension observed in the pooled analysis, 30% of discs did not follow this trend. Nucleus degeneration was observed in at least one disc in nine subjects and in 26% of all discs examined. Lumbar spine position was found to be associated with small measured changes in anterior disc height and nucleus position, however, this response was variable within and between individuals. The theoretical concept of a stereotypical effect of spinal position on the lumbar IVD is challenged by these initial data. Since the health of the disc is often unknown in clinical practice, manual therapy treatment for lumbar spine pain should be based on the symptomatic response to movement and position rather than biomechanical theory.
A Composite Recommendation System for Planning Tourist Visits

Classical recommender systems provide users with ranked lists of recommendations that are relevant to their preferences. Each recommendation consists of a single item, e.g., a movie or a book. However, these ranked lists are not suitable for applications such as travel planning, which deal with heterogeneous items. In fact, in such applications, there is a need to recommend packages the user can choose from, each package being a set of Points of Interest (POIs), e.g., museums, parks, monuments, etc. In this paper, we focus on the problem of recommending a set of packages to the user, where each package is constituted with a set of POIs that may constitute a tour. Given a collection of POIs, where each POI has a cost and a time associated with it, and the user specifying a maximum total value for both the cost and the time (budgets), our goal is to recommend the most interesting packages for the user, where each package satisfies the budget constraints. We formally define the problem and we present a novel composite recommendation system, inspired from composite retrieval. We introduce a scoring function and propose a ranking algorithm that takes into account the preferences of the user, the diversity of POIs included in the package, as well as the popularity of POIs in the package. Extensive experimental evaluation of our proposed system, using a real dataset demonstrates its quality and its ability to improve both diversity and relevance of recommendations.
Comparison of Cannabinoid Concentrations in Plasma, Oral Fluid and Urine in Occasional Cannabis Smokers After Smoking Cannabis Cigarette.

PURPOSE A randomized cross-over, double blind placebo controlled study of smoked cannabis was carried out on occasional cannabis smokers. The objective of this research was to describe the pharmacokinetic parameters of THC and its metabolites in plasma, oral fluid and urine, from samples obtained simultaneously to provide estimations of THC and metabolites concentrations after smoking a cannabis cigarette. METHODS Blood, oral fluid and urine samples were collected until up to 72 h after smoking the cannabis cigarette (4% of delta-9-tetrathydrocannabinol (THC)). THC, 11-OH-THC and THC-COOH were analyzed by gas-chromatography-mass spectrometry. Pharmacokinetic parameters were estimated from these data. RESULTS Eighteen male healthy adults participated in the study. In total, 560 plasma, 288 oral fluid and 448 urine samples were quantified for cannabinoids. Plasma, oral fluid and urine pharmacokinetic parameters were calculated. A wide range of median THC Cmax (1.6-160.0 µg/L and 55.4-123120.0 µg/L in plasma and oral fluid, respectively), 11-OH-THC Cmax (0-11.1 µg/L in plasma) and THC-COOH Cmax (1.0-56.3 µg/L in plasma) was observed. When expressed as a percentage of the total available THC dose, and corrected for molar equivalents, mean percentage of total THC dose excreted was 1.9 +/-2.5 % with range of 0.2-7.5%. This high inter-individual variability was also observed on other calculated pharmacokinetic parameters. CONCLUSION Prediction of plasma THC concentration from THC oral fluid concentration or from THC-COOH urinary concentrations is not feasible due to the large variations observed. The results from this study support the assumption that a positive oral fluid THC result or a positive urine fluid result are indicative of a recent cannabis exposure. This article is open to POST-PUBLICATION REVIEW. Registered readers (see "For Readers") may comment by clicking on ABSTRACT on the issue's contents page.
Establishing the phylogeny of Prochlorococcus with a new alignment‐free method

Abstract Prochlorococcus marinus, one of the most abundant marine cyanobacteria in the global ocean, is classified into low‐light (LL) and high‐light (HL) adapted ecotypes. These two adapted ecotypes differ in their ecophysiological characteristics, especially whether adapted for growth at high‐light or low‐light intensities. However, some evolutionary relationships of Prochlorococcus phylogeny remain to be resolved, such as whether the strains SS120 and MIT9211 form a monophyletic group. We use the Natural Vector (NV) method to represent the sequence in order to identify the phylogeny of the Prochlorococcus. The natural vector method is alignment free without any model assumptions. This study added the covariances of amino acids in protein sequence to the natural vector method. Based on these new natural vectors, we can compute the Hausdorff distance between the two clades which represents the dissimilarity. This method enables us to systematically analyze both the dataset of ribosomal proteomes and the dataset of 16s‐23s rRNA sequences in order to reconstruct the phylogeny of Prochlorococcus. Furthermore, we apply classification to inspect the relationship of SS120 and MIT9211. From the reconstructed phylogenetic trees and classification results, we may conclude that the SS120 does not cluster with MIT9211. This study demonstrates a new method for performing phylogenetic analysis. The results confirm that these two strains do not form a monophyletic clade in the phylogeny of Prochlorococcus.