Miracle-dz/UniFAR-FTUs huggingface dataset:
Additional file 1 Chromatin assortativity : Integrating epigenomic data and 3 D genomic structure

Figure S1: PCHi-C chromatin Interaction Network.2 Text S1. Robustness and significance of ChAs values.3 Figure S2: ChAs robustness to edge and node removal.5 Figure S3: Schematic description of randomization procedures.6 Figure S4: Results of randomization procedures.7 Figure S5: ChAs correlation of network after distance filtering.8 Text S2 Comparison of ChAs with traditional approaches.9 Figure S6: Comparison of ChAs with enrichment of features in important nodes.10 Text S3: Network community finding.11 Figure S7: Enrichment of features in chromatin communities.12 Figure S8: HiCap chromatin interaction network.13 Figure S9: ChIA-PET networks, SMC1 and RNAPII and network statistics.14 Figure S10: Comparison of ChAs in 3 networks against PCHiC.16 Figure S11: Comparison of ChAs in 3 networks against HiCap and RNAPII ChIA-PET vs SMC1 ChIA-PET.17 Figure S12: Comparison of ChAs P-P vs. P-O.18 Figure S13 Core and periphery.20 Text S4: Party and date hubs.21 Figure S14 Party/date hubs.22 S15 Heatmap of correlations between enrichment of features in different chromatin communities. 23 Figure S16: ChAs and abundance for different RNAPII variants in P-P and P-O subnetworks and their rewirings.24 Figure S17: Abundance of features in Other end fragments with no H3K4me1 enhancer mark.26 Figure S18: Comparison of presence of different RNAPII variants in P and O fragments.27 Table S1: Overlap of fragments in different chromatin interaction networks.28
Explaining Mistakes in Single Digit Multiplication : A Cognitive Model

Error patterns for arithmetic problems are very rich in information, but they are hard to investigate systematically because of the small number of mistakes made. To be able to investigate errors in arithmetic we therefore used an online educational application called Math Garden, which teaches children arithmetic in the form of several different tasks. Because of the large number of users, Math Garden provides sufficient data to investigate errors systematically. Using the Math Garden data set, we developed a cognitive model in the PRIMs architecture that can give a comprehensible account of the errors made in single-digit multiplication problems. The model does a relatively good job of explaining errors on easy problems, but has difficulties explaining mistakes for harder problems. In addition to the current model, we propose some approaches to improve the model to explain mistakes in the harder problems as well.
Segmentation of Images in Medical Field using Machine Learning Integrated Approaches

Now a day’s people are mostly affected by tumors. so, the major intend of this paper is to identify the tumor in a body and detecting the nearest area effected and that will be done by using machine learning with region-based energetic contour model, region based active contour model is efficient in dividing images by badly distinct boundaries but frequently not succeed while functional image surrounding intensity in homogeneity. Machine learning approaches are extremely efficient in conducting the homogeneity, but frequently consequences in noises from miss confidential pixels. Therefore, proposed system point out the integration of the machine learning region based active contour of the k-nearest neighbors and the support vector machine with the chanvese technique, and by comparing this result with the traditional technique of chan-vese technique. Better exactness, velocity and less compassion to constraint tuning which are being observed in this paper.
Assessing architectural evolution : a case study Journal Item

This paper proposes to use a historical perspective on generic laws, principles, and guidelines, like Lehman’s software evolution laws and Martin’s design principles, in order to achieve a multi-faceted process and structural assessment of a system’s architectural evolution. We present a simple structural model with associated historical metrics and visualizations that could form part of an architect’s dashboard. We perform such an assessment for the Eclipse SDK, as a case study of a large, complex, and long-lived system for which sustained effective architectural evolution is paramount. The twofold aim of checking generic principles on a well-know system is, on the one hand, to see whether there are certain lessons that could be learned for best practice of architectural evolution, and on the other hand to get more insights about the applicability of such principles. We find that while the Eclipse SDK does follow several of the laws and principles, there are some deviations, and we discuss areas of architectural improvement and limitations of the assessment approach.
lterations in tumor biomarker GSTP gene methylation patterns induced by renatal exposure to PFOS

The adverse environmental exposure in early life may have adverse effects on animals through epigenetic aspects. The current study examined the possibility of early epigenetic alteration in PFOS-exposed rat liver. Pregnant Sprague–Dawley (SD) rats were exposed to perfluorooctane sulfonate (PFOS) at doses of 0.1, 0.6 and 2.0 mg/kg/d and 0.05% Tween 80 as control by gavage from gestation days 2 to 21. The dams were allowed to give birth and liver samples from weaned (postnatal day 21) offspring rats were analyzed for PFOS content, relative liver weight, global DNA methylation, methylation of LINE-1 regulatory region, tumor suppressor gene glutathione S-transferase pi (GSTP) and p16 promoter methylation level, as well as related genes expression level. In PFOS-exposed weaned rats, compared to the control, global DNA STP NA methylation renatal methylation and methylation of LINE-1 regulatory region decreased significantly only in the 2.0 mg/kg/d group. Up to 30% of critical CpG sites (+79, 81 and 84) in GSTP promoter region were methylated in the livers of PFOS-treated rats, while p16 promoter methylation was not affected. In addition, the upregulated expression of GSTP was observed and this increase was associated with its main pathway of transcription regulation: Keap1–Nrf2/MafK. Thus, early-induced changes in critical cytosines within the GSTP gene promoter region may be a biomarker of hepatic PFOS burden, though their direct role in icity, PFOS-induced hepatotox
Postpartum depression and pragmatic skills in children : a comparison between boys and girls from a low-income Brazilian population

Purpose: Compare pragmatic skills of boys and girls and the influence of Postpartum Depression (PPD) on this process. Methods: The subjects of this research project are 31 boys and 49 girls from 3 years to 3 years and 5 months. Regarding their mothers, 30 displayed PPD indicators as per the Edinburgh Postnatal Depression Scale. An assessment of the pragmatic aspect of child language development was carried out, at 3 years old, during open play with mother, based on data gathered since birth. Results: It was observed that girls obtained better results than boys, although those girls whose mothers had PPD interacted more. Boys, in contrast, had better results when their mothers did not have PPD. Conclusion: This led to the detection of the influence of gender on those socio-affective, upbringing-related variables (including PPD), which are relevant to child development.
A Content-Aware POI Recommendation Method in Location-Based Social Networks Based on Deep CNN and Multi-Objective Immune Optimization

Aiming at the problem of sparse data and multi-attribute data in location-based social networks (LBSNs), a content-aware point-of-interest (POI) recommendation method based on deep convolution neural network (CNN) and multi-objective immune optimization is proposed. Firstly, three types of content information are modeled: Geographic information is modeled by location weighting strategy; Emotional information from users’ comment texts is modeled by CNN; And user preferences are modeled by interaction matrix between comment content features and user potential features. Then, the three types of content information are inputted into a CNN based POI recommendation framework. To avoid adjusting too many weight coefficients at the same time, geographic information, user emotional information and user preferences are respectively optimized in three optimization objective functions. Finally, the non-dominated neighbor immune algorithm (NNIA) is used to solve the multi-objective optimization problem. Without adjusting any weight coefficients, a variety of POI lists can be respectively recommended for each user. In Foursquare and Brightkite datasets, the check-in records and comment texts data from New York (NY), Los Angeles (LA) and Austen were selected for experimental analysis. It can be seen from the experimental results that compared with other methods, the proposed method can ensure high recommendation accuracy under cold start and can achieve the accuracy and diversity of POI recommendation under different recommendation list length.
Field Evaluation of Vehicle to Infrastructure Communication-Based Eco-Driving Guidance and Eco-Signal System

In urban areas, the main factor causing excessive fuel consumption is stop-and-go, which is prevalent at urban intersections. To decrease fuel consumption at the intersections, various methods have been proposed and evaluated using simulation models and driving simulators. However, it is not known how reliable the driving simulator results would be when compared with those of the field test. In this paper, eco-driving guidance and eco-signal system based on vehicle-to-infrastructure communication are developed and tested in the field in a multi-vehicle environment. They were also tested using a driving simulator and the results were compared with those of the field test. This was intended to assess the reliability of driving simulator-based study. The field test results at an isolated intersection indicated that the eco-driving guidance could save the fuel consumption around 20%–40% and the eco-signal system could reduce the fuel consumption up to 45%. Although the absolute fuel consumptions between the driving simulator test and the field test did not match, the results from both tests confirmed better performance with eco-driving guidance and eco-signal system when compared with the base scenarios. This indicates that a driving simulator is an effective tool for assessing relative benefits of eco-driving guidance and eco-signal system.
Community Detection in Networks : Algorithms and Challenges

Community detection in networks is a research area that is gaining a lot of attention mostly because of its great applications in areas such a coding, link prediction, routing, containment of virus and warm online, and recently for criminal detection. In this era of Big Data, it is envisaged that community detection will be handy in solving many societal problems. Many algorithms have been developed to solve the complex problem of clustering groups of nodes in a network. In this paper, a few of these algorithms and their challenges are discussed. Directions for future research in this area are also pointed out. Keywords-community detection; social network graphs; binary networks, weighted networks
Performance and Energy Aware Wavelength Allocation on Ring-Based WDM 3 D Optical NoC

Optical Network-on-Chip (ONoC) is a promising communication medium for large-scale Multiprocessor System on Chip (MPSoC). ONoC outperforms classical electrical NoC in terms of throughput and latency. The medium can support multiple transactions at the same time on different wavelengths by using Wavelength Division Multiplexing (WDM). Moreover multiple wavelengths can be used as high-bandwidth channel to reduce transmission time. However, multiple signals sharing simultaneously a waveguide can lead to inter-channel crosstalk noise. This problem impacts the Signal to Noise Ratio (SNR) of the optical signal, which leads to an increase in the Bit Error Rate (BER) at the receiver side. In this paper we first formulate the crosstalk noise and execution time models and then propose a Wavelength Allocation (WA) method in a ring-based WDM ONoC allowing to search for performance and energy trade-offs, based on the application constraints. As result, most promising WA solutions are highlighted for a defined application mapping onto 16-core WDM ONoC.
Detection of Uneven Brightness for LCD Panel Using Approximate Planes of Brightness in a CCD Image

A new image processing technique to apply an approximate plane of brightness has been proposed for inspecting defects of irregular pixels in a CCD image captured in proximate front of a LCD panel. The technique is capable of making automatic and speedy detection of defects, by reciprocally comparing the gradient of an approximate plane, which is derived from the brightness of each pixel in a small area divided into the identical section with a reference image. By exploiting the difference of the gradients in distinguishing the section associated with defects, there are a few characteristics as compared with the typical image processing techniques such as the differential and the template method. One is robust to noises that have effect upon the captured image from electric circuits constructing a camera itself. The other need not perform the template processing by a particular operator to emphasize a kind of defect in implementing image processing. Another is able to reduce the processing time because a captured image can be treated at a stretch without regard to kinds of defect. In this paper, we experimentally make it clear that the technique is able to detect not only a dot and a line defect of high variation, but also non-uniformity defects of comparatively low variation in brightness of pixels. Experiments with pseudo-defects represented in an actual LCD panel demonstrate that from the results obtained in 3colors•~0.12seconds of processing time, the technique is able to be applied to a system for implementing defect-inspection of a certain uniformity level in real time.
P o S ( E X P R e S 0 9 ) 0 2 0 Pulsars , e-VLBI , and LEAP

Wouter Vlemmings Argelander Institute for Astronomy, University of Bonn, Auf dem Hügel 71, 53121 Bonn, Germany E-mail: wouter@astro.uni-bonn.de The compact nature of radio pulsars means that the principal aims of VLBI observations of them are to determine their distances and spatial velocities in a model independent way. There are many aspects of pulsar science which benefit from the measurement of accurate distances and velocities, but two key ones are: understanding the physics of supernovae and probing the structure of the Galaxy. Model independent velocities can be used to place strong constraints on the mechanism responsible for generating the high velocities of neutron stars. Such constraints are essential for probing the laws of physics associated with the extreme conditions that occur during supernovae. Determining distances to pulsars provides essential calibration points with which to model the Galactic electron density distribution. These models can in turn be used to improve distance estimates to pulsars without measured parallaxes. eVLBI can provide rapid observations to determine positions of newly discovered pulsars enabling efficient and rapid multi-wavelength follow-up. To enhance the sensitivity of eVLBI for pulsar observations the ability to gate the data at the pulse period is an important next step. Pulsar gating will also allow the study of any offpulse emission which might be assoicated with a pulsar wind nebula. We discuss a project allied to eVLBI, called LEAP, the Large European Array for Pulsars. This ambitious project aims to use observations of pulsars with large radio telescopes in Europe to directly detect gravitational waves. Recognising the need for a larger amount of collecting area to achieve the sensitivity required to do sufficiently high precision pulsar timing, the project will coherently combine the signals of the telescopes to form a highly sensitive tied-array beam. This project can benefit greatly from the software and technologies being developed in the e-VLBI era.
Retirement and cognitive abilities

This paper investigates how retirement influences the cognitive abilities of British older workers. The analysis employs data from Understanding Society and relies on an instrumental variable approach to address endogeneity bias. Consistent with the "use it or lose it" hypothesis, we show that retirement induces cognitive decline, although the relationship is weaker for women employed in routine occupations. Disregarding potentially offsetting effects on other dimensions of health, we conclude that extending the working life has a beneficial effect on the cognitive capital of older workers and that maintaining a mentally engaging and stimulating life-style during retirement contributes to the cognitive health of the mature population.
HALITOSIS ACTIVITY AGAINST VOLATILE SULFUR COMPOUND OF METHYL MERCAPTAN COMPONENT FROM BURAHOL (STELECHOCARPUS BURAHOL) FRUIT EXTRACT

Objective: This research was conducted to prove the activity of Stelechocarpus burahol fruit (SBF) extracts against volatile sulfur compound (VSC) of methyl mercaptan in anaerobic Gram-negative oral bacteria causing halitosis. Materials and Methods: Burahol fruits were extracted by ethanol and partitioned by several solvents and then identified the chemical constituents of the extracts using phytochemical screening test and polyphenol content by spectroscopic ultraviolet instrument. The halitosis activity against VSC of methyl mercaptan component derived from anaerobic Gram-negative oral bacteria after administration of SBF extracts with a dose of 20 mg/ml was conducted in vitro using gas chromatography-oral chroma. Results: All extracts (ethanol, ethyl acetate, butanol, water, and methanol) contain flavonoids and polyphenols, whereas saponin was found in all extracts except methanol. Halitosis activity shows the ethanol extract of SBF, has absorption capability against methyl mercaptan, and was higher than the other extracts, with catechins as control. Conclusion: All extracts of SBF (ethanol, ethyl acetate, butanol, water, and methanol) can inhibit and reduce VSC of methyl mercaptan causing halitosis.
Support for political mobilization and protest in Egypt and Morocco: an online experimental study

Abstract Why do individuals engage in or support acts of contentious politics? Building from previous work, this article uses a 2 (high/low grievance) × 2 (high/low risk) × 2 (high/low opportunity) online experimental design to examine the impact of these factors on political action with participants from Egypt (n = 517) and Morocco (n = 462). Participants assumed a first-person perspective as a member of a fictional oppressed ethnic minority group in one of eight vignettes. Participants then indicated the extent to which they would engage in various forms of protest and violence, and how justified such actions were. Participants answered several social-personality measures: Social Dominance Orientation (SDO), Right Wing Authoritarianism (RWA), and Activism and Radicalism Intentions Scale (AIS and RIS). Analyses show that higher SDO and RIS scores largely drive violent engagement and justification for these actions. Higher AIS scores predicted protest engagement and justification, while SDO negatively influenced non-violence. RWA scores decreased engagement in and support for any form of political action. In contrast with previous experimental findings, grievance did not impact decisions about political mobilization.
Investigating New Types of 'Decoupling': Minority Shareholder Protection in the Law & Corporate Practice

The study of decoupling – i.e. the discrepancies between formal policies and actual practices and outcomes – has seen a remarkable revival. Importantly, a distinction between policy-practice and means-ends decoupling has become widely-used. We argue that the decoupling literature still neglects a key feature of decoupling, namely that it is inherently a multi-level concept. Distinguishing explicitly the macro- (country) and the micro- (organisation) levels, we develop a more fine-grained typology of policy–practice and means–ends decoupling. We hypothesise that differences in the macro-environment may influence the type and extent of decoupling that prevails in a given country. We test our hypotheses in the context of the adoption of legal minority shareholder protection in four European countries. We go beyond previous studies that have investigated policy–practice and means-end decoupling in the same context by using a unique dataset for firm-level corporate governance practices that allows us to investigate the multi-level nature of decoupling more directly. Our findings suggest that that decoupling is context specific and the extent to which policy-practice decoupling occurs may depend on a country's legal style.
THE RELATIONSHIP BETWEEN EMOTIONAL INTELLIGENCE AND PERFORMANCE OF SECONDARY SCHOOL TEACHERS

Emotional intelligence is a gold standard for measuring and predicting the performance of a teacher. The study was designed to assess the relationship between emotional intelligence and performance of secondary school teachers working in Khyber Pakhtunkhwa. Survey was conducted to collect the information from the respondents. 840 secondary school teachers were randomly selected as sample from 8407 teachers working in secondary and higher secondary schools of Khyber Pakhtunkhwa. The sample was selected by multistage stratified sampling technique with proportionate to size sampling method. Emotional intelligence of the secondary school teachers were examined by the SEI (adult version) questionnaire. The tool was developed for measuring the emotional intelligence of the adults having age18 years and above. It is composed of 58 randomly ordered items answered through five-point Likert type response scale. The raw scores on each competency were summarized by using the descriptive statistics. Performance of secondary school teachers were assessed through selfdeveloped questionnaire. The questionnaire was developed on four factors of teachers’ performance. The relationship between emotional intelligence and performance of secondary school teachers was calculated by Pearson product moment correlation coefficient method. The study revealed that emotional intelligence and performance of secondary school teachers were highly correlated.
Identification of Sp 1 as the transcription factor for the alternative promoter P 2 of the bovine growth hormone receptor gene

Growth hormone receptor (GHR) mRNA variants that differ in the 5 -untranslated regions (5 -UTR) have been isolated in various species. These 5 -UTR variants are generated from the use of alternative promoters and/or alternative splicing. The 5 -UTR 1B is one of the GHR 5 -UTR variants isolated in the bovine but its homologues are also present in other species. The 5 -UTR 1B is a predominant GHR 5 -UTR expressed in many tissues. In the present study, we screened a bovine genomic library and isolated a 1·7 kb bovine GHR genomic sequence including exon 1B and its 5 flanking region from which the GHR 5 -UTR 1B is generated. Using primer extension, two major transcription start sites were mapped in the bovine exon 1B. Transient transfection analysis of the 5 flanking region of exon 1B confirmed its promoter activity (termed P2) in both Hep G2 and BHK-21 cells. Furthermore, analysis of deletion promoter– reporter constructs found that the basal activity of P2 resided in the proximal region of P2. DNase I footprinting analysis and electromobility shift assay (EMSA) identified the ubiquitous transcription factor Sp1 as the binding protein to a GC box-containing DNA element within the proximal P2. Deletion of the GC box greatly reduced the activity of P2 in cell lines. The GC box-containing site also appeared to bind Sp1 in the nuclear extracts from diverse bovine tissues. This suggests that interactions of Sp1 with the GC box-containing element in the proximal region of P2 may be part of the mechanism for the expression of the bovine GHR 5 -UTR 1B in diverse tissues. Journal of Molecular Endocrinology (2000) 24, 203–214