Miracle-dz/UniFAR-FTUs huggingface dataset:
Retrieving Information from the French Lexical Network in RDF/OWL Format

In this paper, we present a Java API to retrieve the lexical information from the French Lexical Network, a lexical resource based on the Meaning-Text Theory’s lexical functions, which was previously transformed to an RDF/OWL format. We present four API functions: one that returns all the lexical relations between two given vocables; one that returns all the lexical relations and the lexical functions modeling those relations for two given vocables; one that returns all the lexical relations encoded in the lexical network modeled by a speciﬁc lexical function; and one that returns the semantic perspectives for a speciﬁc lexical function. This API was used in the identiﬁcation of collocations in a French corpus of 1.8 million sentences and in the semantic classiﬁcation of these collocations.
Pollination of Granadilla (Passiflora ligularis) Benefits From Large Wild Insects

Abstract The contribution of wild pollinators to food production has recently been assessed for many crops, although it remains unclear for several tropical crops. Granadilla (Passiflora ligularis Juss), a crop native to the tropical Andes, is one such crop where a gap exists regarding comprehensive knowledge about its pollination system. In a field experiment in the Colombian Andes, we 1) describe flower visitors in terms of visit quantity (visitation rate) and quality (touches of flower-reproductive structures), 2) assess the pollination system by comparing fruit set and fruit weight per flower in three pollination treatments: pollinator exclusion, open pollination, and supplementary pollination, and 3) evaluate pollination deficits (difference between open and supplementary pollination) in relation to pollinator density. We observed 12 bee species visiting granadilla flowers, with Apis mellifera Linnaeus being the most frequent species. However, large bees such as Xylocopa lachnea Moure and Epicharis rustica Olivier touched stigmata and anthers more often. Fruit set and fruit weight per flower were significantly lower in the pollinator exclusion treatment compared to open and supplementary pollination, while the latter treatments showed nonsignificant differences. Pollination deficit significantly decreased with the increasing density of large bees and wasps. Our results illustrate the high dependency of granadilla on wild pollinating insects and highlight the crucial role of large insects to granadilla production.This stresses the need to maintain or increase the density of large pollinators in granadilla production areas, which in turn will necessitate better knowledge on their ecological requirements to inform landscape planning and population-management programs.
HSP 70 Downregulation by Pifithrin-μ Upregulates Pro-Apoptotic Changes in Stressed Fish Hepatocytes

Estuarine grey mullet is very sensitive to several environmental factors. Apoptosis signal regulating kinase-1 (ASK1) activity is regulated at multiple levels, one of which is through inhibition by heat shock protein (HSP70). In this study, we investigated the inhibitory effect of pifithrin-μ in the hepatocytes of Mugil cephalus inhabiting Kovalam and Ennore estuaries. The level of total antioxidant capacity (TAC) and the expression of 4-hydroxy-2-nonenal (HNE), HSP70, HO-1, phospho-ERK and ASK1 were measured in hepatocytes of M. cephalus inhabiting Kovalam and Ennore estuaries with and without pifithrin-μ incubation. A significant increase in oxidative stress along with decrease in antioxidant status in hepatocytes of M. cephalus inhabiting Ennore estuary was observed, whereas pifithrin-μ incubation moderately alters the stress and antioxidant status. The level of HSP70 was inhibited by 39% at 10 μM of pifithrin-μ for 60 minutes. Pifithrin-μ enhances the generation of ROS, possibly by inhibiting the anti-oxidant actions of HSP70. An alteration in the expression of HSP70 by pifithrin-μ inhibitor causes downregulation of phospho-ERK and upregulation of ASK1 expression. These proapoptotic changes in the stressed fish hepatocytes indicate that HSP70 threshold is a key factor in fish survival under polluted environmental stress.
Reflection of Bloom ’ s Taxonomy in the Learning Outcomes of Secondary Social Science Curriculum of Bangladesh

This study determines to find out the reflection of Bloom’s taxonomy on the learning outcomes of secondary social science curriculum of Bangladesh. Its objectives were: to categorize the learning outcomes of secondary social science curriculum according to the Bloom’s taxonomy and to analyze the reflection of Bloom’s taxonomy on the learning outcomes of secondary social science curriculum. Data was collected by analyzing curriculum document using table of specification and interviewing curriculum specialists using interview schedule. According to the findings of the study, uneven application of the domains indicated by Benjamin Bloom and lack of consistency of the curriculum became apparent.
Microsatellite Instability within the CD30 Gene Promoter Distinguishes between Normal and Neoplastic Cells in Lymphoma

Aims:As differences in promoter activity and CD30 surface expression between CD30+ lymphoid cell-lines and peripheral blood leukocytes have been shown previously to be independent of the size of the CD30 promoter microsatellite, in this study we investigate the instability within the region in a range of neoplasms including malignant lymphoma, breast and colon carcinoma and lung adenocarcinoma. Study Design:A representative sample of CD30+ and CD30lymphomas and cell lines as well as non-haemopoietic malignancies and normal tissues were typed for CD30 microsatellite length and compared. Place and Duration of Study: Department of Anatomical Pathology, Pathwest Laboratory Original Research Article British Journal of Medicine & Medical Research, 4(2): 755-765, 2014 756 Medicine WA, Perth, Australia and School of Chemistry & Biochemistry, University of Western Australia, 2000-2012. Methodology: DNA was prepared from archived biopsy specimens and used to PCR ampify the CD30 microsatellite region prior to size determination using an Genescan instrument (Applied Biosystems). Results: This study has identified instability within the CD30 promoter microsatellite region in DNA from the tumour tissue of cases of malignant lymphoma, colon carcinoma and lung adenocarcinoma but not in DNA from benign lymphoid cells or normal tissues. Conclusion: These findings indicate that variability in the length of the CD30 microsatellite may be a general characteristic of the neoplastic phenotype and may reflect defects in the mismatch repair system in these malignancies rather than a specific feature of CD30positive neoplasms. Our results suggest that the CD30-MS may be a useful marker to distinguish between normal lymphoid tissue and lymphoid malignancy.
CARBON SEQUESTRATION ESTIMATION OF STREET TREES BASED ON POINT CLOUD FROM VEHICLE-BORNE LASER SCANNING SYSTEM

Abstract. Continuous development of urban road traffic system requests higher standards of road ecological environment. Ecological benefits of street trees are getting more attention. Carbon sequestration of street trees refers to the carbon stocks of street trees, which can be a measurement for ecological benefits of street trees. Estimating carbon sequestration in a traditional way is costly and inefficient. In order to solve above problems, a carbon sequestration estimation approach for street trees based on 3D point cloud from vehicle-borne laser scanning system is proposed in this paper. The method can measure the geometric parameters of a street tree, including tree height, crown width, diameter at breast height (DBH), by processing and analyzing point cloud data of an individual tree. Four Chinese scholartree trees and four camphor trees are selected for experiment. The root mean square error (RMSE) of tree height is 0.11m for Chinese scholartree and 0.02m for camphor. Crown widths in X direction and Y direction, as well as the average crown width are calculated. And the RMSE of average crown width is 0.22m for Chinese scholartree and 0.10m for camphor. The last calculated parameter is DBH, the RMSE of DBH is 0.5cm for both Chinese scholartree and camphor. Combining the measured geometric parameters and an appropriate carbon sequestration calculation model, the individual tree’s carbon sequestration will be estimated. The proposed method can help enlarge application range of vehicle-borne laser point cloud data, improve the efficiency of estimating carbon sequestration, construct urban ecological environment and manage landscape.
Container-Based Performance Evaluation: A Survey and Challenges

Virtualization is an expanding technology in all areas of research and development. It has been widely accepted because of characteristics such as elasticity and flexibility in delivering on-demand resources. Nowadays, containers are a new form of virtualization and they have been highlighted as large technology companies are giving more support to them. Containers are a type of OS-level virtualization, in which the kernel allows the existence of multiple isolated instances. This paper presents a survey of recent research and challenges involving containers, focusing on performance evaluation. To achieve this goal, we performed a systematic mapping considering the main databases (Springer, IEEE, ACM, and Scopus), raising the challenges of the area and prospects of future work, considering the recent use of containers. We have observed that there is still little research related to performance evaluation of containers and we consider this topic very important since performance is fundamental to the design and adoption of projects.
Content-Attention Representation by Factorized Action-Scene Network for Action Recognition

During action recognition in videos, irrelevant motions in the background can greatly degrade the performance of recognizing specific actions with which we actually concern ourself here. In this paper, a novel deep neural network, called factorized action-scene network (FASNet), is proposed to encode and fuse the most relevant and informative semantic cues for action recognition. Specifically, we decompose the FASNet into two components. One is a newly designed encoding network, named content attention network (CANet), which encodes local spatial–temporal features to learn the action representations with good robustness to the noise of irrelevant motions. The other is a fusion network, which integrates the pretrained CANet to fuse the encoded spatial–temporal features with contextual scene feature extracted from the same video, for learning more descriptive and discriminative action representations. Moreover, different from the existing deep learning based tasks for generic action recognition, which applies softmax loss function as the training guidance, we formulate two loss functions for guiding the proposed model to accomplish more specific action recognition tasks, i.e., the multilabel correlation loss for multilabel action recognition and the triplet loss for complex event detection. Extensive experiments on the Hollywood2 dataset and the TRECVID MEDTest 14 dataset show that our method achieves superior performance compared with the state-of-the-art methods.
Growth Hormone (GH) Administration Increases the Metabolic Activity of the Left Hippocampus in an Elder Patient with Cognitive Disorders

1) Background: We analyzed, by PET-SCAN, how growth hormone (GH) could act on the brain of an older woman, not GH-deficient, which was beginning to show some cognitive deficiencies and presented an ApoE genotype 4/3; 2) Methods: After performing a first psychometric study (TAVEC verbal learning test), the metabolic activity of brain structures related to knowledge, memory, and behavior was analyzed using 18-F Fluorodeoxyglucose PET-SCAN. The patient was then treated with GH (0.4 mg/day) for three weeks and on the last day under this treatment, a new PET-SCAN was performed. One month after beginning treatment with GH, a new TAVEC test was performed; 3) Results: GH administration normalized the cognitive deficits observed in the first psychometric test and increased significantly (P < 0.025) the metabolic activity in practically all brain cortical areas, specifically in the left hippocampus and left amygdala, although not in the left parahippocampus; and 4) Conclusions: This is the first study in which the positive effects of GH on cerebral metabolism have been visualized in a human patient. Our data confirm the positive effects of this hormone on cognition, memory and behavior in patients affected by mild cognitive impairments.
DEVELOPMENT AND STANDARDIZATION OF TINNITUS HANDICAP INVENTORY IN BANGLA

The aim of the study was to develop and standardize a Bangla version of the Tinnitus Handicap Inventory (THI) and to determine the validity, internal consistency reliability and test-retest reliability of the Bangla version of the Tinnitus Handicap Inventory (THI-Bangla) for clinical and research purposes in Bengali population. The THI-Bangla was administered to thirty patients suffering from tinnitus, aged between 30 to 45 years. The clients were selected from the audiological department of AYJNISHD, ERC Kolkata. The client having tinnitus without any medical problem was included in the group. The correlation between THIBangla scores and matched loudness of tinnitus showed acceptable correlation (r=0.614). In case of correlation of THIBangla and matched pitch of the participants the result showed r=0.621 which indicates an acceptable correlation. Inter item correlation was calculated using the Cronbach’s alpha test indicated the inter item correlation of total THI was 0.845 the inter-item correlation of functional, emotional and catastrophic sub scale were, 0.850, 0.813 and 0.637, respectively. The Pearson productmoment correlation was done among the sub scales. The association between functional and emotional sub-scale was high (r=0.951). The association between the emotional and catastrophic sub-scale were good (r= 0.889). Internal association was observed between functional and catastrophic sub-scale were also high (r= 0.987) Kendall’s tau_b test was administered to identify the test-retest reliability. The correlation coefficient was 1.000, which indicates, correlation is significant at 0.01 levels. This study demonstrated that the Bangla version of THI (THIBangla) is a valid and reproducible tool to assess the psychosocial complaints of tinnitus sufferers.
Institutional guardianship: The role of agency in preserving threatened institutional arrangements

Institutional Theory has responded to early criticism that actors are characterized as passive “cultural dopes” primarily through work on Institutional Entrepreneurship, which implicitly links actors’ agency to institutional change or creation. In this dissertation, I decouple change from agency, examining how actors work to maintain existing institutional arrangements that have come under threat. Through inductive, qualitative analysis of the creation of the Securities Exchange Commission in 1934, focusing primarily on the legislative history, I ground my analysis in the speech events of the actors involved in stabilizing the securities markets as an institution after the Crash begun in 1929, identifying different forms of Institutional Guardianship aimed at preserving different aspects of the institution. I then generalize across actors to present an abstracted model of Institutional Guardianship.
Analysis and Design of Secured Privacy Data Mining Environment

Current advances in information, communications, data mining, and security technologies have gave rise to a new era of research, known as Privacy Preserving Data Mining (PPDM). Privacy preserving data mining has become increasingly popular because it allows sharing of privacy Sensitive data for analysis purposes. Several data mining algorithms, incorporating privacy preserving mechanisms, have been developed that allow one to extract relevant knowledge from large amount of data, while hide sensitive data or information from disclosure or inference. Finally, we share directions for future research. We provide a review of the state-of-the-art methods for privacy and analyze the representative technique for privacy preserving data mining.
Differential arthropod responses to warming are altering the structure of Arctic communities

The Arctic is experiencing some of the fastest rates of warming on the planet. Although many studies have documented responses to such warming by individual species, the idiosyncratic nature of these findings has prevented us from extrapolating them to community-level predictions. Here, we leverage the availability of a long-term dataset from Zackenberg, Greenland (593 700 specimens collected between 1996 and 2014), to investigate how climate parameters influence the abundance of different arthropod groups and overall community composition. We find that variation in mean seasonal temperatures, winter duration and winter freeze–thaw events is correlated with taxon-specific and habitat-dependent changes in arthropod abundances. In addition, we find that arthropod communities have exhibited compositional changes consistent with the expected effects of recent shifts towards warmer active seasons and fewer freeze–thaw events in NE Greenland. Changes in community composition are up to five times more extreme in drier than wet habitats, with herbivores and parasitoids generally increasing in abundance, while the opposite is true for surface detritivores. These results suggest that species interactions and food web dynamics are changing in the Arctic, with potential implications for key ecosystem processes such as decomposition, nutrient cycling and primary productivity.
Evidence for distinct modes of solar activity

Aims. The Sun shows strong variability in its magnetic activity, from Grand minima to Grand maxima, but the nature of the variability is not fully understood, mostly because of the insufficient length of the directly observed solar activity records and of uncertainties related to long-term reconstructions. Here we present a new adjustment-free reconstruction of solar activity over three millennia and study its different modes. Methods. We present a new adjustment-free, physical reconstruction of solar activity over the past three millennia, using the latest verified carbon cycle, 14 C production, and archeomagnetic field models. This great improvement allowed us to study different modes of solar activity at an unprecedented level of details. Results. The distribution of solar activity is clearly bi-modal, implying the existence of distinct modes of activity. The main regular activity mode corresponds to moderate activity that varies in a relatively narrow band between sunspot numbers 20 and 67. The existence of a separate Grand minimum mode with reduced solar activity, which cannot be explained by random fluctuations of the regular mode, is confirmed at a high confidence level. The possible existence of a separate Grand maximum mode is also suggested, but the statistics is too low to reach a confident conclusion. Conclusions. The Sun is shown to operate in distinct modes – a main general mode, a Grand minimum mode corresponding to an inactive Sun, and a possible Grand maximum mode corresponding to an unusually active Sun. These results provide important constraints for both dynamo models of Sun-like stars and investigations of possible solar influence on Earth’s climate.
An Efficient Approaches to Weighted Recursive Pattern Mining Using Association Rules

: Researchers have proposed frequent pattern mining algorithms that are more efficient than previous algorithms and generate fewer but more important patterns. Many techniques such as depth first/breadth first search, use of tree/other data structures, top down/bottom up traversal and vertical/horizontal formats for frequent pattern mining have been developed. Most frequent pattern mining algorithms use a support measure to prune the combinatorial search space. Alternative measures for mining frequent patterns have been suggested to address these issues. One of the main limitations of the traditional approach for mining frequent patterns is that all items are treated uniformly when, in reality, items have different importance. For this reason, weighted frequent pattern mining algorithms have been suggested that give different weights to items according to their significance. The main focus in weighted frequent pattern mining concerns satisfying the downward closure property. Our main approach is to push weight constraints into the pattern growth algorithm while maintaining the downward closure property. We develop WFIM (Weighted Frequent Itemset Mining with a weight range and a minimum weight), WLPMiner (Weighted frequent Pattern Mining with length decreasing constraints), WIP (Weighted Interesting Pattern mining with a strong weight and/or support affinity), WSpan (Weighted Sequential pattern mining with a weight range and a minimum weight) and WIS (Weighted Interesting Sequential pattern mining with a similar level of support and/or weight affinity) The extensive performance analysis shows that suggested approaches are efficient and scalable in weighted frequent pattern
Selected Biomarkers Correlate with the Origin and Severity of Sepsis

The microbial etiology and source of sepsis influence the inflammatory response. Therefore, the plasma levels of cytokines (IL-6, IL-8, and IL-10), chemokines (CCL2/MCP-1, MIP-1β), heparin-binding protein (HBP), soluble CD14 (sCD14), and cortisol were analyzed in blood from septic patients obtained during the first 96 hours of intensive care unit hospitalization. The etiology was established in 56 out of a total of 62 patients enrolled in the study. Plasma concentrations of MCP-1, sCD14, IL-6, and IL-10 were significantly higher in patients with community-acquired pneumonia (CAP; n = 10) and infective endocarditis (IE; n = 11) compared to those with bacterial meningitis (BM; n = 18). Next, cortisol levels were higher in IE patients than in those with BM and CAP, and at one time point, cortisol was also higher in patients with gram-negative sepsis when compared to those with gram-positive infections. Furthermore, cortisol and MCP-1 levels correlated positively with the daily measured SOFA score. In addition, HBP levels were significantly higher in patients with IE than in those with BM. Our findings suggest that MCP-1, sCD14, IL-6, IL-10, cortisol, and HBP are modulated by the source of sepsis and that elevated MCP-1 and cortisol plasma levels are associated with sepsis-induced organ dysfunction.
Where in the World Is Carmen Sandiego?: Detecting Person Locations via Social Media Discussions

In today's social media, news often spread faster than in mainstream media, along with additional context and aspects about the current affairs. Consequently, users in social networks are up-to-date with the details of real-world events and the involved individuals. Examples include crime scenes and potential perpetrator descriptions, public gatherings with rumors about celebrities among the guests, rallies by prominent politicians, concerts by musicians, etc. We are interested in the problem of tracking persons mentioned in social media, namely detecting the locations of individuals by leveraging the online discussions about them. Existing literature focuses on the well-known and more convenient problem of user location detection in social media, mainly as the location discovery of the user profiles and their messages. In contrast, we track individuals with text mining techniques, regardless whether they hold a social network account or not. We observe what the community shares about them and estimate their locations. Our approach consists of two steps: firstly, we introduce a noise filter that prunes irrelevant posts using a recursive partitioning technique. Secondly, we build a model that reasons over the set of messages about an individual and determines his/her locations. In our experiments, we successfully trace the last U.S. presidential candidates through millions of tweets published from November 2015 until January 2017. Our results outperform previously introduced techniques and various baselines.