Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecting Derivatives using Specific and Invariant Descriptors

This paper explores the detection of derivation links between texts (otherwise called plagiarism, near-duplication, revision, etc.) at the document level. We evaluate the use of textual elements implementing the ideas of specificity and invariance as well as their combination to characterize derivatives. We built a French press corpus based on Wikinews revisions to run this evaluation. We obtain performances similar to the state of the art method (n-grams overlap) while reducing the signature size and so, the processing costs. In order to ensure the verifiability and the reproducibility of our results we make our code as well as our corpus available to the community.
The clustering of barred galaxies in the local Universe

We study the clustering properties of barred galaxies using data from the Sloan Digital Sky Survey. We compute projected redshift-space two-point cross-correlation functions wp(r p )f or a sample of nearly 1000 galaxies for which we have performed detailed structural decompositions using the methods described in Gadotti. The sample includes 286 barred galaxies. The clustering of barred and unbarred galaxies of similar stellar mass is indistinguishable over all the scales probed (∼20 kpc–30 Mpc). This result also holds even if the sample is restricted to bars with bluer g − i colours (and hence younger ages). Our result also does not change if we split our sample of barred galaxies according to bar-to-total luminosity ratio, bar boxyness, effective surface brightness, length or the shape of the surface density profile within the bar. There is a hint that red, elliptical bars are more strongly clustered than red and less elliptical bars, on scales1 Mpc, although the statistical significance is not high. We conclude that there is no significant evidence that bars are a product of mergers or interactions. We tentatively interpret the stronger clustering of the more elliptical bars as evidence that they are located in older galaxies, which reside in more massive haloes.
Welfare mothers’ grassroots activism for economic justice

ABSTRACT Several events during the course of this research – including the Great Recession, Barack Obama’s election and presidency, and the Occupy and student protests – increasingly focused media attention and public interest on social justice and economic inequality. Given the 2016 US elections interest continued to grow on these topics and sparked new attention to the role of organising and activism on social policy issues such as on health care, the economic conditions of working families, access to higher education, and the deteriorating social safety net. Through ethnographic research in the San Francisco Bay Area, this paper examines how mothers who pursued higher education while on welfare engaged in grassroots activism to reform social safety net policies. This project explores how they became grassroots activists, how they developed an oppositional consciousness and participated in grassroots anti-poverty activism, and the consequences of that participation.
Relationship of probable ADHD with novelty seeking, severity of psychopathology and borderline personality disorder in a sample of patients with opioid use disorder

ABSTRACT OBJECTIVE The aim of the present study was to evaluate the relationship of probable attention-deficit hyperactivity disorder (ADHD) with novelty seeking (NS), the severity of psychopathology and borderline personality disorder (BPD) in a sample of male patients with opioid use disorder (OUD). METHODS Participants included 229 patients with OUD. Participants were evaluated with the Adult ADHD Self-Report Scale (ASRS-v1.1), the Symptom Checklist-90-Revised (SCL-90-R) and NS subscale of the Temperament and Character Inventory (TCI). In addition, BPD was assessed with the Structured Clinical Interview for DSM-III-R-Personality Disorders (SCID-II). RESULTS Age, duration of education, marital and employment status did not differ between those with probable ADHD (n = 54, 23.1%) and those without (n = 175, 76.9%). The severity of psychopathology, NS and subdimensions (other than NS1, which was lower) were higher among those with the probable ADHD. ADHD scores were midly correlated with NS scores, other than NS1. In logistic regression analyses, the severity of NS, particularly Impulsiveness (NS2), together with general psychopathology, predicted probable ADHD, whereas the presence of BPD had no effect. CONCLUSIONS These findings suggest that trait impulsivity, together with the severity of psychopathology, is related with the probable ADHD, while the presence of BPD has no effect among adult patients with OUD.
Algebraic cycles on Jacobian varieties

Let J be the Jacobian of a smooth curve C of genus g, and let A(J) be the ring of algebraic cycles modulo algebraic equivalence on J, tensored with $\mathbb{Q}$. We study in this paper the smallest $\mathbb{Q}$-vector subspace R of A(J) which contains C and is stable under the natural operations of A(J): intersection and Pontryagin products, pull back and push down under multiplication by integers. We prove that this ‘tautological subring’ is generated (over $\mathbb{Q}$) by the classes of the subvarieties $W_1=C,\ W_2=C + C, \dots ,W_{g-1}$. If C admits a morphism of degree d onto $\mathbb{P}^1$, we prove that the last d - 1 classes suffice.
Optimality of gaussian fronthaul compression for uplink MIMO cloud radio access networks

This paper investigates the compress-and-forward scheme for an uplink cloud radio access network (C-RAN) model, where multi-antenna base-stations (BSs) are connected to a cloudcomputing based central processor (CP) via capacity-limited fronthaul links. The BSs perform Wyner-Ziv coding to compress and send the received signals to the CP; the CP performs either joint decoding of both the quantization codewords and the user messages at the same time, or the more practical successive decoding of the quantization codewords first, then the user messages. Under this setup, this paper makes progress toward the optimization of the fronthaul compression scheme by proving two results. First, it is shown that if the input distributions are assumed to be Gaussian, then under joint decoding, the optimal Wyner-Ziv quantization scheme for maximizing the achievable rate region is Gaussian. Second, for fixed Gaussian input, under a sum fronthaul capacity constraint and assuming Gaussian quantization, this paper shows that successive decoding and joint decoding achieve the same maximum sum rate. In this case, the optimization of Gaussian quantization noise covariance matrices for maximizing sum rate can be formulated as a convex optimization problem, therefore can be solved efficiently.
Robust and sustainable schedulability analysis of embedded software

For real-time systems, most of the analysis involves efficient or exact schedulability checking. While this is important, analysis is often based on the assumption that the task parameters such as execution requirements and inter-arrival times between jobs are known exactly. In most cases, however, only a worst-case estimate of these quantities is available at the time of analysis. It is therefore imperative that schedulability analysis hold for better parameter values (Sustainable Analysis). On the other hand, if the task or system parameters turn out to be worse off, then the analysis should tolerate some deterioration (Robust Analysis). Robust analysis is especially important, because the implication of task schedulability is often weakened in the presence of optimizations that are performed on its code, or dynamic system parameters. In this work, we define and address sustainability and robustness questions for analysis of embedded real-time software that is modeled by conditional real-time tasks. Specifically, we show that, while the analysis is sustainable for changes in the task such as lower job execution times and increased relative deadlines, it is not the case for code changes such as job splitting and reordering. We discuss the impact of these results in the context of common compiler optimizations, and then develop robust schedulability techniques for operations where the original analysis is not sustainable.
Interval weighted multi-template matching for accurate measurement

This paper employs the interval weighted multi-template matching approach for accurate measurement. Generally, a vernier caliper is used as the subject to capture the analyzing image. However, the vernier caliper has many similar regions which all effect the measure accuracy. The traditional template matching with only one template is not suitable, as the matching region may only stands for one local region. To reduce this effect, the multi-template matching is employed to get different matching regions with different templates. Then the interval which the matching result belongs to is weighted, and the final measure accuracy is obtained based on the weighted average approach. Compared with the true value, the final result is just sub-pixel error which shows that the interval weighted multi-template matching method is efficient for accurate measurement and it's simple to implement.
Software Process Improvement in Thailand

Thailand has realized the need to create software industry since the first computer was brought in th e country. In 1986, NECTEC was founded to act as a funding agency for university research in electroni c and computer technology. Later, NECTEC was assigned responsibilities to promote the use of ICT in the public sector, establishing the Software Park Thailand, drafting ICT laws for the Cabinet, as we ll as collaborating with the Thailand Institute for Industry Standards in developing several ICT standards. Software Park Thailand became a transition partner of the Software Engineering Institute and promoted the use of SW CMM and CMMI in Thai software companies. In 2002, the Cabinet approved the establishment of Software Industry Promotion Agency (SIPA) as a public organization within the Ministry of Information Technology and Communication. SIPA funded a group of software experts to create a new standard – Thai Quality Software (TQS) for use in very small software enterprises. TQS is now further modified t o align with the new ISO 29110 standard.
Identification of small-molecule inhibitors of autotaxin that inhibit melanoma cell migration and invasion

Autotaxin (ATX) is a prometastatic enzyme initially isolated from the conditioned medium of human melanoma cells that stimulates a myriad of biological activities, including angiogenesis and the promotion of cell growth, survival, and differentiation through the production of lysophosphatidic acid (LPA). ATX increases the aggressiveness and invasiveness of transformed cells, and ATX levels directly correlate with tumor stage and grade in several human malignancies. To study the role of ATX in the pathogenesis of malignant melanoma, we developed antibodies and small-molecule inhibitors against recombinant human protein. Immunohistochemistry of paraffin-embedded human tissue shows that ATX levels are markedly increased in human primary and metastatic melanoma relative to benign nevi. Chemical screens identified several small-molecule inhibitors with binding constants ranging from nanomolar to low micromolar. Cell migration and invasion assays with melanoma cell lines show that ATX markedly stimulates melanoma cell migration and invasion, an effect suppressed by ATX inhibitors. The migratory phenotype can be rescued by the addition of the enzymatic product of ATX, LPA, confirming that the observed inhibition is linked to suppression of LPA production by ATX. Chemical analogues of the inhibitors show structure-activity relationships important for ATX inhibition and indicate pathways for their optimization. These studies suggest that ATX is an approachable molecular target for the rational design of chemotherapeutic agents directed against malignant melanoma. [Mol Cancer Ther 2008;7(10):3352–62]
A Survey of Repair Analysis Algorithms for Memories

Current rapid advancements in deep submicron technologies have enabled the implementation of very large memory devices and embedded memories. However, the memory growth increases the number of defects, reducing the yield and reliability of such devices. Faulty cells are commonly repaired by using redundant cells, which are embedded in memory arrays by adding spare rows and columns. The repair process requires an efficient redundancy analysis (RA) algorithm. Spare architectures for the repair of faulty memory include one-dimensional (1D) spare architectures, two-dimensional (2D) spare architectures, and configurable spare architectures. Of these types, 2D spare architectures, which prepare extra rows and columns for repair, are popular because of their better repairing efficiency than 1D spare architectures and easier implementation than configurable spare architectures. However, because the complexity of the RA is NP-complete, the RA algorithm should consider various factors in order to determine a repair solution. The performance depends on three factors: analysis time, repair rate, and area overhead. In this article, we survey RA algorithms for memory devices as well as built-in repair algorithms for improving these performance factors. Built-in redundancy analysis techniques for emergent three-dimensional integrated circuits are also discussed. Based on this analysis, we then discuss future research challenges for faulty-memory repair studies.
Escaping the emotional blur: Design tools for facilitating positive emotional granularity

In human-product interactions, pleasure has many different shades. We can, for example, be proud of using an eco-friendly detergent, be all aflutter in anticipation of a planned trip when looking at a calendar application or experience a feeling of cathartic relief when playing a mobile phone game. Although these experiences are all pleasurable, each is different from the other in terms of the feelings they engender, the conditions that evoke them and how they influence people’s thoughts and actions. Some people are more aware of these nuances and better able than others to articulate positive emotional states. This difference is called ‘Positive Emotional Granularity’ (PEG) (Tugade, Fredrickson, & Feldman Barrett, 2004). PEG reflects the degree to which a person is able to represent positive emotions with precision and specificity. This thesis focuses on designers’ PEG, and proposes that having an awareness of nuances between positive emotions can be advantageous for designers in their endeavour to generate positive emotional experiences. Design research has traditionally focused on generalised pleasure or liking, paying little attention to nuances in positive emotions. Consequently, little is known of either the implications of differentiating positive emotions in design processes or ways to support designers in this endeavour. The aim of this thesis is to develop an understanding of how designers’ nuanced understanding of positive emotions can be harnessed and how doing so can contribute to design processes. The research question was, ‘how can designers be supported in developing and applying a systematic understanding of nuanced positive emotions? ’ The overarching approach encompassing the research activities was ‘research through design’, in which the act of designing new solutions and reflecting on the processes is regarded as a means of generating knowledge (Stappers, 2007). A series of design tools and techniques that explained the distinctiveness of positive emotions was conceptualised for the purpose of this research and tested by designers. This research contributes to the field of experience design by elucidating how PEG can add value to design processes, and by providing tools that support designers in developing their understanding of positive emotions and their abilities to select and design for nuanced and distinct positive emotions. Eight studies were conducted, each resulting in a set of new findings.
Combinatorial treatment using targeted MEK and SRC inhibitors synergistically abrogates tumor cell growth and induces mesenchymal-epithelial transition in non-small-cell lung carcinoma

Oncogenesis in non-small cell lung cancer (NSCLC) is regulated by a complex signal transduction network. Single-agent targeted therapy fails frequently due to treatment insensitivity and acquired resistance. In this study, we demonstrate that co-inhibition of the MAPK and SRC pathways using a PD0325901 and Saracatinib kinase inhibitor combination can abrogate tumor growth in NSCLC. PD0325901/Saracatinib at 0.25:1 combination was screened against a panel of 28 NSCLC cell lines and 68% of cell lines were found to be sensitive (IC50 < 2 μM) to this combination. In Snail1 positive NSCLC lines, the drug combination complementarily enhanced mesenchymal-epithelial transition (MET), increasing both E-cadherin and Plakoglobin expression, and reducing Snail1, FAK and PXN expression. In addition, the drug combination abrogated cell migration and matrigel invasion. The co-inhibition of MAPK and SRC induced strong G1/G0 cell cycle arrest in the NSCLC lines, inhibited anchorage independent growth and delayed tumor growth in H460 and H358 mouse xenografts. These data provide rationale for further investigating the combination of MAPK and SRC pathway inhibitors in advanced stage NSCLC.
Genetic Basis of Haloperidol Resistance in Saccharomyces cerevisiae Is Complex and Dose Dependent

The genetic basis of most heritable traits is complex. Inhibitory compounds and their effects in model organisms have been used in many studies to gain insights into the genetic architecture underlying quantitative traits. However, the differential effect of compound concentration has not been studied in detail. In this study, we used a large segregant panel from a cross between two genetically divergent yeast strains, BY4724 (a laboratory strain) and RM11_1a (a vineyard strain), to study the genetic basis of variation in response to different doses of a drug. Linkage analysis revealed that the genetic architecture of resistance to the small-molecule therapeutic drug haloperidol is highly dose-dependent. Some of the loci identified had effects only at low doses of haloperidol, while other loci had effects primarily at higher concentrations of the drug. We show that a major QTL affecting resistance across all concentrations of haloperidol is caused by polymorphisms in SWH1, a homologue of human oxysterol binding protein. We identify a complex set of interactions among the alleles of the genes SWH1, MKT1, and IRA2 that are most pronounced at a haloperidol dose of 200 µM and are only observed when the remainder of the genome is of the RM background. Our results provide further insight into the genetic basis of drug resistance.
A Comparison of Two Methods for Measuring Land Use in Public Health Research: Systematic Social Observation vs. GIS-Based Coded Aerial Photography

Public health researchers have identified numerous health implications associated with land use. However, it is unclear which of multiple methods of data collection most accurately capture land use, and “gold standard” methods vary by discipline. In this paper, five desirable features of ecological data sources are presented and discussed (cost, coverage, availability, construct validity, and accuracy). Potential accuracy issues are discussed by using Kappa statistics to evaluate the level of agreement between datasets collected by two methods (systematic social observation (SSO) by trained raters and publically available data from aerial photography coded using administrative records) from the same blocks in Chicago. Findings show that significant kappa statistics range from . 19 to . 60, indicating varying levels of inter-source agreement. Most land uses are more likely to be reported by researcher-designed direct observation than in the publicly available data derived from aerial photography. However, when cost, coverage, and availability outweigh a marginal improvement in accuracy and flexibility in land use categorization, coded aerial photography data may be a useful data source for health researchers. Greater interdisciplinary and inter-organization collaboration in the production of ecological data is recommended to improve cost, coverage, availability, and accuracy, with implications for construct validity. Abbreviations CMAP Chicago Metropolitan Authority for Planning CCAHS Chicago Community Adult Health Study SSO Systematic social observation GIS Geographic information systems Two Methods for Measuring Land Use in Public Health Research 3
Impacts of channel variability on link-level throughput in wireless networks

We study analytically and experimentally the throughput of the packetized time-varying discrete erasure channel with feedback, which closely captures the behavior of many practical physical layers. We observe that the channel variability at different time scales affects the link-level throughput positively or negatively depending on its time scale. We show that the increased variability in the channel at a time scale smaller than a single packet increases the link-level throughput, whereas the variability at a time scale longer than a single packet reduces it. We express the throughput as a function of the number of transmissions per packet and evaluate it as in terms of the cumulants of the samples of the stochastic processes, which model the channel. We also illustrate our results experimentally using mote radios.
Distribution of newly synthesized lysosomal enzymes in the endocytic pathway of normal rat kidney cells

We have investigated the distribution of newly synthesized lysosomal enzymes in endocytic compartments of normal rat kidney (NRK) cells. The mannose-6-phosphate (Man6-P) containing lysosomal enzymes could be iodinated in situ after internalization of lactoperoxidase (LPO) by fluid phase endocytosis and isolated on CI-MPR affinity columns. For EM studies, the ectodomain of the CI-MPR conjugated to colloidal gold was used as a probe specific for the phosphomannosyl marker of the newly synthesized hydrolases. In NRK cells, approximately 20-40% of the phosphorylated hydrolases present in the entire pathway were found in early endocytic structures proximal to the 18 degrees C temperature block including early endosomes. These structures were characterized by a low content of endogenous CI-MPR and were accessible to fluid phase markers internalized for 5-15 min at 37 degrees C. The bulk of the phosphorylated lysosomal enzymes was found in late endocytic structures distal to the 18 degrees C block, rich in endogenous CI-MPR and accessible to endocytic markers internalized for 30-60 min at 37 degrees C. The CI-MPR negative lysosomes were devoid of phosphorylated hydrolases. This distribution was unchanged in cells treated with Man6- P to block recapture of secreted lysosomal enzymes. However, lysosomal enzymes were no longer detected in the early endosomal elements of cells treated with cycloheximide. Immunoprecipitation of cathepsin D from early endosomes of pulse-labeled cells showed that this hydrolase is a transient component of this compartment. These data indicate that in NRK cells, the earliest point of convergence of the lysosomal biosynthetic and the endocytic pathways is the early endosome.
Malware variants identification based on byte frequency

Malware variants refer to all the new malwares manually or automatically produced from any existing malware. However, such simple approach to produce malwares can change signatures of the original malware to confuse and bypass most of popular signature-based anti-malware tools. In this paper we propose a novel byte frequency based detecting model (BFBDM) to deal with the malware variants identification issue. The primary experimental results show that our model is efficient and effective for the identification of malware variants, especially for the manual variant.