Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining Frequent Item Sets over Data Streams using Éclat Algorithm

Frequent pattern mining is the process of mining data in a set of items or some patterns from a large database. The resulted frequent set data supports the minimum support threshold. A frequent pattern is a pattern that occurs frequently in a dataset. Association rule mining is defined as to find out association rules that satisfy the predefined minimum support and confidence from a given data base. If an item set is said to be frequent, that item set supports the minimum support and confidence. A Frequent item set should appear in all the transaction of that data base. Discovering frequent item sets play a very important role in mining association rules, sequence rules, web log mining and many other interesting patterns among complex data. Data stream is a real time continuous, ordered sequence of items. It is an uninterrupted flow of a long sequence of data. Some real time examples of data stream data are sensor network data, telecommunication data, transactional data and scientific surveillances systems. These data produced trillions of updates every day. So it is very difficult to store the entire data. In that time some mining process is required. Data mining is the non-trivial process of identifying valid, original, potentially useful and ultimately understandable patterns in data. It is an extraction of the hidden predictive information from large data base. There are lots of algorithms used to find out the frequent item set. In that Apriori algorithm is the very first classical algorithm used to find the frequent item set. Apart from Apriori, lots of algorithms generated but they are similar to Apriori. They are based on prune and candidate generation. It takes more memory and time to find out the frequent item set. In this paper, we have studied about how the eclat algorithm is used in data streams to find out the frequent item sets. Eclat algorithm need not required candidate generation.
Worst-case test network optimization for community detection method

Network community detection finds communities/clusters of densely connected nodes with few edges outside the cluster. It is applied in a variety of domains, from e-commerce in social networks or web graphs, up to analysis of biochemical networks or control and automation tasks. Hi-consequence risk applications range from black-start recovery of power systems, truss structure manufacturing, neural motor control, water distribution, to image segmentation for finding cracks in bridges. For such important technical applications, it is necessary to know the limits of the used methods, how much they can deviate from optimum. The robustness of the community detection methods was already compared using a number of test networks, both real world and artificial. However, these test networks were implicitly average cases. Here, we evolve networks, which produce a maximum error of modularity measure for selected methods of community detection. This worst-case test networks were evolved for Edge betweenness, Fast greedy, Infomap, Louvain, and Walktrap modularity detection. Such a comparison provides a tougher test of robustness than previous approaches. A bit surprisingly, after the Blondel's Louvain method, the next best result was provided by fast greedy, while otherwise favored Infomap fared rather poorly.
ELEXIS - a European infrastructure fostering cooperation and information exchange among lexicographical research communities

The paper describes objectives, concept and methodology for ELEXIS, a European infrastructure fostering cooperation and information exchange among lexicographical research communities. The infrastructure is a newly granted project under the Horizon 2020 INFRAIA call, with the topic Integrating Activities for Starting Communities. The project is planned to start in January 2018.
Osteoarthritic articular chondrocytes stimulate autologous T cell responses in vitro.

OBJECTIVE To clarify the presence of specific T cell immune response to autologous chondrocytes in patients with osteoarthritis (OA). METHODS Peripheral blood mononuclear cells obtained from OA or post-traumatic patients were co-cultured with irradiated autologous chondrocytes, and their proliferative response was assessed using 3H-thymidine incorporation. Expression of HLA-class II molecules was also assessed on chondrocytes by immunohistochemistry or flow cytometry. RESULTS T cell responses to autologous chondrocytes in OA yielded a significantly greater mean stimulation index (6.35 +/- 1.63) compared to controls (1.21 +/- 0.09, p < 0.01). This response was partially blocked by antibodies against HLA class I, class II, CD4 or CD8. Increased expression of HLA-DP, -DQ, and -DR was observed. CONCLUSION This study showed the autologous T cell-stimulating property of OA chondrocytes in vitro. The elucidation of the autoimmune responses may contribute to the understanding of immune-mediated mechanisms in OA.
The Effects of Using a Noise Filter and Feature Selection in Action Recognition: An Empirical Study

In this paper we are interested in knowing, if a filter and a feature selection are used, the action recognition is improved. In the filter phase, Kalman filter and Savitzky-Golay filter are proposed to analyse skeleton acquired by the Kinect, in order to minimize the noise. In the phase of feature selection, the algorithm Reduction of Feature Dimensions based on Standard Deviation (RFD-SD) and Principal Component Analysis(PCA) are proposed to select the relevant set of features. The obtained results suggest that action recognition improves by using Kalman filter and the algorithm RFD-SD.
Conserved and divergent expression patterns of the proteolipid protein gene family in the amphibian central nervous system

The recent discovery of a proteolipid protein gene family has revealed that its members are in fact widely distributed and are not exclusively associated with myelination. To date, three different gene products, DMα/DM‐20/PLP, DMβ/M6a, and DMγ/M6b, have been isolated from certain primitive fish species, mouse, and human central nervous system (CNS). We cloned Xenopus laevis orthologues of DMβ/M6a and DMγ/M6b and investigated the expression patterns of these gene transcripts as well as that of PLP in developing Xenopus CNS. As is the case in shark and mouse, the mRNA encoding the major myelin integral protein, PLP, is first detected at stage 42/43 in tadpoles and is exclusively found in morphologically recognizable oligodendrocytes throughout the brain, while DMβ mRNA is solely expressed in young presumptive neurons in the gray matter. There exist two distinct DMγ mRNAs and, in contrast to these evolutionarily conserved expression patterns, DMγ mRNAs distribute uniquely within the ventricular zone in young tadpoles (stage 25) through maturity. Furthermore, both DMβ and DMγ are expressed in the developing retina, and their distributions are different from one other. In Xenopus CNS, therefore, the expression patterns of three proteolipid proteins, PLP, DMβ, and DMγ, are distinct from each other, implying very different roles for their protein products within the cell populations in which they are expressed. J. Neurosci. Res. 57:13–22, 1999. © 1999 Wiley‐Liss, Inc.
Serum Iron, Transferrin Saturation, Ferritin, and Dietary Data in Age-Related Macular Degeneration

Iron (Fe) is a tightly metabolically controlled mineral and growth factor for all living cells. Iron not bound in erythrocyte hemoglobin is transported by the plasma iron transport protein transferrin (Tf) and bound within cells by ferritin. Apo-Tf and apo-hemopexin are also known to be made locally in the retina. Free Fe is cytotoxic, promotes oxidation/lipid peroxidation, has been implicated as a risk factor in cardiac disease, and is itself associated with age-related macular degeneration (ARMD), the leading cause of blindness in aging western societies. The authors evaluated Fe overload serum markers and dietary intake in patients with atrophic ARMD. After obtaining informed consent, an Fe panel consisting of serum Fe, total Fe binding capacity (TIBC), and ferritin was performed on 75 veterans (70 men, five women) with an average age of 75 years with a diagnosis of atrophic ARMD by combined criteria of International Retinal Classification and psychophysical/symptom abnormalities. Tf saturation was calculated by dividing serum Fe concentration by TIBC. Dietary iron with and without supplementation and vitamin C intake were determined for 86 patients using the Harvard School of Public Health/Department of Nutrition Food Frequency Questionnaire. Statistically significant correlations (P <0.1) were found between serum and dietary Fe (r = −.26), between serum Fe and serum ferritin (r = .34), and between dietary Fe and dietary vitamin C (r = .30). The data on mostly male geriatric veterans with atrophic ARMD indicate that single time-point assessment of systemic Fe status and dietary Fe is not useful. However, serial multiple-year data, correlating Fe markers with disease, may still be important. Also, because Fe transport proteins do not cross the blood–retina barrier, the local cellular toxic effects of Fe must also be considered.
Sphingosine-1-Phosphate Receptor-1 Agonist Sew2871 Causes Severe Cardiac Side Effects and Does Not Improve Microvascular Barrier Breakdown in Sepsis

Background: Endothelial barrier dysfunction is a hallmark in the pathogenesis of sepsis. Sphingosine-1-phosphate (S1P) has been proposed to be critically involved in the maintenance of endothelial barrier function predominately by activating S1P receptor-1 (S1P1). Previous studies have shown that the specific S1P1 agonist SEW2871 improves endothelial barrier function under inflammatory conditions. However, the effectiveness of SEW2871 and potential side effects remained largely unexplored in a clinically relevant model of sepsis. Therefore, this study aimed to evaluate the effects of SEW2871 in the Colon ascendens stent peritonitis (CASP) model. Methods: Polymicrobial sepsis was induced in Sprague–Dawley rats using CASP model that enabled the monitoring of macro-hemodynamic parameters. Twelve hours after surgery, animals received either SEW2871 or sodium chloride. Mesenteric endothelial barrier function was evaluated 24 h after sepsis induction by intravital microscopy. Organ pathology was assessed in lungs. S1P levels, blood gas analyses, and blood values were measured at different time points. In parallel the effect of SEW2871 was evaluated in human dermal microvascular endothelial cells. Result: In vitro SEW2871 partially stabilized TNF-&agr;-induced endothelial barrier breakdown. However, in vivo SEW2871 caused severe cardiac side effects in septic animals leading to an increased lethality. Sepsis-induced endothelial barrier dysfunction was not attenuated by SEW2871 as revealed by increased FITC-albumin extra-vasation, requirement of intravasal fluid replacement, and pulmonary edema. Interestingly, Sham-operated animals did not present any side effects after SEW2871 treatment. Conclusion: Our study demonstrates that the application of SEW2871 causes severe cardiac side effects and cannot attenuate the inflammation-induced endothelial barrier breakdown in a clinically relevant sepsis model, suggesting that the time point of administration and the pro-inflammatory milieu play a pivotal role in the therapeutic benefit of SEW2871.
TrajectoryLenses – A Set‐based Filtering and Exploration Technique for Long‐term Trajectory Data

The visual analysis of spatiotemporal movement is a challenging task. There may be millions of routes of different length and shape with different origin and destination, extending over a long time span. Furthermore there can be various correlated attributes depending on the data domain, e.g. engine measurements for mobility data or sensor data for animal tracking. Visualizing such data tends to produce cluttered and incomprehensible images that need to be accompanied by sophisticated filtering methods. We present TrajectoryLenses, an interaction technique that extends the exploration lens metaphor to support complex filter expressions and the analysis of long time periods. Analysts might be interested only in movements that occur in a given time range, traverse a certain region, or end at a given area of interest (AOI). Our lenses can be placed on an interactive map to identify such geospatial AOIs. They can be grouped with set operations to create powerful geospatial queries. For each group of lenses, users can access aggregated data for different attributes like the number of matching movements, covered time, or vehicle performance. We demonstrate the applicability of our technique on a large, real‐world dataset of electric scooter tracks spanning a 2‐year period.
The design and fabrication of a compact low phase noise dielectric cavity resonator oscillator

This paper presents the design and fabrication of a compact low phase-noise × band voltage controlled oscillator (VCO). The prototype is designed based on closed loop topology and includes GaAs PHEMT MMIC, a novel shielded high dielectric cavity resonator, microstrip low-pass filter and phase shifter network. To achieve low phase noise oscillation, a compact two port high dielectric cavity resonator is designed, and properly embedded into the feedback Loop as a frequency stabilization element. The tuning system includes varactor diodes lightly coupled into the closed loop circuit and allows 50 MHz tunability across the desired bandwidth. A Prototype design has been built to verify the analysis. The measurement results show the completed assembly is 6mm × 6mm × 1.5mm with 11.4 dBm output power and -94 dBc/Hz phase noise at 10 kHz offset.
Forward and inverse models for sea ice physical parameter retrieval

In this paper, a forward and inverse modelling approach for application in sea ice physical parameter retrieval is proposed. The algorithm is a combination of a forward model based on Radiative Transfer theory and a global optimizer known as Simulated Annealing. In the model, the forward model provides the estimation of the radar backscatter data from a set of input parameters. The accuracy of the calculation is further improved with the incorporation of the Dense Medium and Amplitude Correction Theory. Simulated Annealing is then applied to optimize the discrepancy between the calculation of the forward model and the measurement data to predict one or more of the unknown parameters. Preliminary testing with the algorithm has shown that the prototype is functioning as expected. In this paper, the prototype is tested more vigorously using average calculations of data from ground truth measurements at Ross Island, Antarctica from the years 2006 - 2008 or data from other sources.
How Coaligned Stakeholder Support Enhances End User's Perceived ERP Performance? The Pivotal Role of ERP Identity

Completely involving end users in ERP projects is more difficult than that in IS development projects. End users possess less cooperation motivations in ERP post-implementation when diversified stakeholder groups strengthen their perceived boundaries with other ERP team members. This study argues that end user's social identity toward the ERP project team (i.e., end user's ERP identity) plays a pivotal role in resolving these issues. Based on social identity theory, we posit end user's ERP identification affects ERP use-related activities and perceived performance impact of ERP due to in group favoritism. According to self-categorization theory, we contend that consistent support from ERP stakeholder groups facilitates high-quality interactions and formation of shared goals between end users and other team members. This study conducted a mail survey to validate the proposed model based on responses from 175 Taiwanese companies that have implemented ERP. The results showed that all the five hypotheses received empirical support. The conclusion and implications are offered.
AALRES: An intelligent expert system for realization of Adaptive Autonomy using Logistic Regression

We have introduced a novel framework for realization of Adaptive Autonomy (AA) in human-automation interaction (HAI) systems, as well as several expert system realizations of that. This study presents an expert system for realization of AA, using logistic regression (LR), referred to as Adaptive Autonomy Logistic Regression Expert System (AALRES). The proposed system prescribes proper Levels of Automation (LOAs) for various environmental conditions, here modeled as Performance Shaping Factors (PSFs), based on the extracted rules from the experts' judgments. LR is used as the expert system's inference engine. The practical list of PSFs and the judgments of GTEDC's (the Greater Tehran Electric Distribution Company) experts are used as expert system database. The results of implementing AALRES to GTEDC's network are evaluated against the exact predictions of the presented expert system. Evaluations show that AALRES can predict the proper LOA for GTEDC's Utility Management Automation (UMA) system, which change according to changes in PSFs; thus providing an adaptive LOA scheme for UMA.
Resveratrol inhibits uveal melanoma tumor growth via early mitochondrial dysfunction.

PURPOSE To test the efficacy of resveratrol, a nontoxic plant product, in the treatment of uveal melanoma. METHODS The effect of oral administration and peritumor injection of resveratrol was tested on tumor growth in two animal models of uveal melanoma. The mechanism of resveratrol action on uveal melanoma cells was studied in vitro in a cell-viability assay: with JC-1 dye, to measure mitochondrial membrane potential; by Western blot analysis, to analyze the cellular redistribution of cytochrome c and Smac/diablo; and in a fluorescence assay with specific substrates, to measure activation of different caspases. RESULTS Resveratrol treatment inhibited tumor growth in animal models of uveal melanoma. Since oral administration resulted in relatively low bioavailability of resveratrol, the effect of increased local levels was tested by peritumor injection of the drug. This method resulted in tumor cell death and tumor regression. In vitro experiments with multiple uveal melanoma cell lines demonstrate that resveratrol causes a decrease in cell viability, resulting at least in part from an increase in apoptosis through a mitochondrial pathway. An early event in drug action is the direct targeting of mitochondria by resveratrol, which leads to a decrease in mitochondrial membrane potential and the eventual activation of caspase-3. CONCLUSION These data suggest that resveratrol can inhibit tumor growth and can induce apoptosis via the intrinsic mitochondrial pathway and that by further increasing bioavailability of resveratrol the potency of the drug can be increased, leading to tumor regression. The nontoxic nature of the drug at levels needed for therapy make resveratrol an attractive candidate for the treatment of uveal melanoma.
Emotion monitoring from physiological signals for service robots in the living space

To increase the amount of happiness in our daily life, we must recover ourselves from displeasing emotional states and try to keep to more pleasing emotions. The way for the user to avoid displeasing emotions depends on the category of the emotion, whether it be fear, anger, disgust or sadness. In this study, we focus on emotion recognition for service robots in the living space. An emotional state is important information that allows a robot system to provide appropriate services in way that are more in tune with users' needs and preferences. Moreover, the users' emotional state can be feedbacks to evaluate user's level of satisfaction in the services. We apply a diagnosis method by using analyzed value of biological signals for the emotion recognition. Our system design is based on wireless and wearable physiological sensors for mobility and convenience of users' daily lifestyle.
Relating fitness to long‐term environmental variations in natura

Quantifying links between ecological processes and adaptation dynamics in natura remains a crucial challenge. Many studies have documented the strength, form and direction of selection, and its variations in space and time, but only a few managed to link these variations to their proximal causes. This step is, however, crucial, if we are to understand how the variation in selective pressure affects adaptive allele dynamics in natural settings. We used data from a long‐term survey (about 30 years) monitoring the adaptation to insecticides of Culex pipiens mosquitoes in Montpellier area (France), focusing on three resistance alleles of the Ester locus. We used a population genetics model taking temporal and spatial variations in selective pressure into account, to assess the quantitative relationships between variations in the proximal agent of selection (amounts of insecticide sprayed) and the fitness of resistance alleles. The response to variations in selective pressure was fast, and the alleles displayed different fitness‐to‐environment relationships: the analyses revealed that even slight changes in insecticide doses could induce changes in the strength and direction of selection, thus changing the fitness ranking of the adaptive alleles. They also revealed that selective pressures other than the insecticides used for mosquito control affected the resistance allele dynamics. These fitness‐to‐environment relationships, fast responses and continuous evolution limit our ability to predict the outcome of adaptive allele dynamics in a changing environment, but they clearly contribute to the maintenance of polymorphism in natural populations. Our study also emphasizes the necessity of long‐term surveys in evolutionary ecology.
Quantitative analysis of the working area and angle of attack for the retrosigmoid, combined petrosal, and transcochlear approaches to the petroclival region.

OBJECT The authors quantitatively assessed the working areas and angles of attack associated with retrosigmoid (RS), combined petrosal (CP), and transcochlear (TC) craniotomies. METHODS Four silicone-injected cadaveric heads were bilaterally dissected using three approaches progressing from the least to the most extensive. Working areas were determined using the Optotrak 3020 system on the upper and middle thirds of the petroclivus and brainstem. Angles of attack were studied using the Elekta SurgiScope at the Dorello canal and the origin of the anterior inferior cerebellar artery (AICA). The TC approach provided significantly greater (p < 0.001) working areas at the petroclivus (755.6 +/- 130.1 mm2) and brainstem (399.3 +/- 68.2 mm2) than the CP (354.1 +/- 60.3 and 289.7 +/- 69.9 mm2) and RS approaches (292.4 +/- 59.9, 177.2 +/- 54.2 mm2, respectively). The brainstem working area associated with the CP approach was significantly larger (p < 0.001) than that associated with the RS route. There was no difference in the petroclival working area comparing the CP and RS approaches (p = 0.149). The horizontal and vertical angles of attack achieved using the TC approach were wider than those of the CP and RS at the Dorello canal and the origin of the AICA (p < 0.001). CONCLUSIONS The CP approach offers a more extensive working area than the RS for lesions involving the anterolateral surface of the brainstem, but not for petroclival lesions. The TC approach provides the widest corridor, improving the working area and angle of attack to both areas, but hearing must be sacrificed and the facial nerve is at risk.