Miracle-dz/UniFAR-FTUs huggingface dataset:
CAPABILITY, OPPORTUNITY, OUTCOME - - AND EQUALITY

Two fundamental attributes of the capability approach are (i) a broadening of the evaluation space from the instrumental means such as income to the intrinsic ends of beings and doings, or functionings; and (ii) the further broadening of evaluation from achievement of ends to opportunity to achieve those ends—from functionings to capabilities. This paper accepts the first broadening but presents a critique of the opportunity perspective in capability theory, using as a platform a critique of recent work on inequality of opportunity. The paper argues that similar critiques of concept and empirical application apply to capability analysis as an analysis and an evaluation of opportunity. Perhaps for this reason, much of the practical implementation of capability theory ends up by in fact focusing only on outcomes in functionings space, with only a loose link to opportunity. * Paper prepared for the Cambridge University Press Handbook of The Capability Approach.
ASR: Abstraction Subspace Reduction for Exposing Atomicity Violation Bugs in Multithreaded Programs

Many two-phase based dynamic concurrency bug detectors predict suspicious instances of atomicity violation from one execution trace, and examine each such instance by scheduling a confirmation run. If the amount of suspicious instances predicted is large, confirming all these instances becomes a burden. In this paper, we present the first controlled experiment that evaluates the efficiency, effectiveness, and cost-effectiveness of reduction on suspicious instances in the detection of atomicity violations. A novel form of reduction technique named ASR is proposed. Our empirical analysis reveals many interesting findings: First, the reduced sets of instances produced by ASR significantly improve the efficiency of atomicity violation detection without significantly compromising the effectiveness. Second, ASR is significantly more cost-effective than random reduction and untreated reduction by 8.5 folds and 60.7 folds, respectively, in terms of mean normalized bug detection ratio. Third, six ASR techniques can be significantly more cost-effective than the technique modeled after a state-of-the-art detector.
Using Learning Styles to Staff and Improve Software Inspection Team Performance

Software inspections are most widely used technique by industrial practitioners for improving software quality. While inspections are an effective verification technique, evidence suggests that overall performance of an inspection process is highly dependent on an individual inspectors' ability to detect faults. Our work leverages cognitive science research to help improve the inspection team performance. This paper presents the results from two industrial studies that evaluate the effect of cognitive learning styles (LSs) of individual inspectors on their inspection team performance. The results showed that the inspection teams formed with inspectors of diverse LSs outperformed teams with similar LSs of inspectors. These results can help software managers better staff inspectors, enabling cost savings, and improving quality.
The use of meta-analysis in MIS research: promises and problems

Meta-ana/ysis involves the use of statistical procedures to integrate research findings across studies. Although it has been warmly embraced in those fields in which experiments are widely used, its application by M/S researchers is very limited. This research explores issues that are important to the conduct and evaluation of metaanalysis. The paper shows that meta-ana/ysis has important advantages over traditional reviews. The potential application of meta-ana/ysis in research integration and theory development and testing is discussed. The use of metaanalysis in M/S research in the past is reviewed. Opportunities for increased use of meta-ana/ysis in the future are investigated. Limitations and potential problems of meta-ana/ysis are discussed to facilitate the evaluation of metaanalysis results. I/tilth these issues clarified, this research should increase the interest of MIS researchers in meta-analysis and its applications.
Potential role of S-adenosylmethionine in osteosarcoma development

The metastatic form of osteosarcoma is a life threatening one since it metastasizes to the lungs. The major cause of metastatic osteosarcoma is hypomethylation of numerous genes that undergo overexpression to enable the progression of the disease. In the present study, S-adenosylmethionine (SAM), a predominant methyl donor, was administered to find out its effects on osteosarcoma progression. As evidence of tumor suppression, the SAM-treated mouse tissue was analyzed histologically, which exemplifies the control that SAM has over abnormal cell proliferation, especially on primary osteosarcoma, but it lacks positive effects on metastatic osteosarcoma. At the molecular level, the successful inhibition of primary osteosarcoma was found to be associated with a lower expression of Sox2, a protein highly expressed in osteosarcoma stem cells, along with an upregulated expression of TCTP. The data suggest that the administration of SAM has a positive role in treating primary osteosarcoma, but it has no role in suppressing metastatic osteosarcoma. The decreased expression of Sox2 together with upregulation of TCTP following SAM administration indicates that SAM has a control over primary osteosarcoma.
Abnormal traffic detection in networks of the Internet of things based on fuzzy logical inference

The paper proposes a traffic anomaly detection technique which could be implemented in networks of the Internet of things. It is based on using fuzzy logical inference applied to the stationary Poisson or self-similar traffic peculiar to networks of the Internet of things. The algorithms of the modified stochastic approximation and "sliding window", included in the traffic anomaly detection technique, are suggested. Results of an experimental assessment of the technique are discussed.
Thyrotroph Embryonic Factor Regulates Light-Induced Transcription of Repair Genes in Zebrafish Embryonic Cells

Numerous responses are triggered by light in the cell. How the light signal is detected and transduced into a cellular response is still an enigma. Each zebrafish cell has the capacity to directly detect light, making this organism particularly suitable for the study of light dependent transcription. To gain insight into the light signalling mechanism we identified genes that are activated by light exposure at an early embryonic stage, when specialised light sensing organs have not yet formed. We screened over 14,900 genes using micro-array GeneChips, and identified 19 light-induced genes that function primarily in light signalling, stress response, and DNA repair. Here we reveal that PAR Response Elements are present in all promoters of the light-induced genes, and demonstrate a pivotal role for the PAR bZip transcription factor Thyrotroph embryonic factor (Tef) in regulating the majority of light-induced genes. We show that tefβ transcription is directly regulated by light while transcription of tefα is under circadian clock control at later stages of development. These data leads us to propose their involvement in light-induced UV tolerance in the zebrafish embryo.
Life Time Sensitive Weighted Clustering on Wireless Sensor Networks

The present paper considers weighted clustering algorithms for mobile ad hoc networks (MANET) and wireless sensor networks (WSN). First, we summarize the similarities and differences between the two types of networks as then examine the existing weighted clustering algorithms proposed so far. We specifically examine the objective functions and performances of the algorithm in terms of various parameters. In addition, we proposed a new algorithm called as the Life Time Sensitive Weighted Clustering Algorithm (LTS-WCA), which aims to adapt the already existing weighted clustering algorithm (WCA) proposed for MANET to WSN and modify and enhance it. WCA was proposed in the literature for forming cluster-heads in mobile ad hoc networks but we have demonstrated that it can also be effective when used in a wireless sensor network domain.
Brain peptides and glial growth. II. Identification of cells that secrete glia-promoting factors

Glia-promoting factors (GPFs) are brain peptides which stimulate growth of specific macroglial populations in vitro. To identify the cellular sources of GPFs, we examined enriched brain cell cultures and cell lines derived from the nervous system for the production of growth factors. Ameboid microglia secreted astroglia-stimulating peptides, while growing neurons were the best source of the oligodendroglia- stimulating factors. These secretion products co-purified by gel filtration, anion exchange chromatography, and reverse-phase high performance liquid chromatography with GPFs isolated from goldfish and rat brain. Our findings suggest that glial growth in the central nervous system is regulated in part by a signaled release of peptides from specific secretory cells.
Periorbital skin tightening with a broadband infrared device: Preliminary study results

Abstract Periorbital rhytids are often the first signs of aging skin for which young patients seek a non-invasive, no downtime treatment. Recently, several skin-tightening modalities based on deep dermal heating with various energy sources, such as monopolar and bipolar radiofrequency, as well as laser and broadband infrared light sources, have been introduced to treat mild wrinkles and skin laxity. This report presents preliminary study results using a new infrared device for the treatment of periorbital rhytids on 11 volunteer patients.
XML BENCHMARKS PUT TO THE TEST

The effectiveness of existing XML query languages has been studied by many who focused on the comparison of linguistic features, implicitly reflecting the fact that most XML tools exist only on paper. In this paper, with a focus on efficiency and concreteness, we propose a pragmatic first step toward the systematic benchmarking of XML query processing platforms. We begin by identifying the necessary functionalities an XML data management system should support. We review existing approaches for managing XML data and the query processing capabilities of these approaches. We then compare three XML query benchmarks XMach-1, XMark and XOO7 and discuss the applicability, strengths and limitations of these benchmarks. We highlight the bias of these benchmarks towards the data centric view of XML and motivate our selection of XOO7 to extend with document centric queries. We complete XOO7 to capture the information retrieval capabilities of XML management systems. Finally we summarize our contributions and discuss future directions.
Analysis of Convergent Influence of Self Esteem, Depression, Hopelessness, Locus of Control and Type A Behavior Pattern on Job Seeking Stress among Some College Women

This study investigates convergent influence on job seeking stress and its association with self esteem, hopelessness, depression, locus of control and type A behavior pattern among some college women. The survey was administered to 531 college women in Jeonbuk area from March 28th to April 29th, 2016. The structured self-administered questionaries were used. The results of hierarchical multiple regression analysis show the following. The job seeking stress of respondents turned out to be significantly higher in following groups: a group in which self esteem is lower and groups in which hopelessness, depression, external locus of control and type A behavior pattern are higher. Their explanatory power was 43.2%. With the analysis of covariance structure, we could confirm relationship among the four factors such as self esteem, hopelessness, depression, locus of control, type A behavior pattern and job seeking stress. The results of the study indicate that the efforts, to increase self esteem, and to decrease hopelessness, depression, locus of control and type A behavior pattern, are required to reduce the job seeking stress of the college women. The results are expected to be useful for the development of program and policy to decrease the job seeking stress of the college women. In the following study, the analysis about additional factors of influence on job seeking stress will be needed.
Relative Effects of Repetitive Transcranial Magnetic Stimulation and Electroconvulsive Therapy on Mood and Memory: A Neurocognitive Risk–Benefit Analysis

ObjectiveTwo procedures for treating major depressive disorder were compared with regard to their respective effects on mood and cognition. BackgroundFourteen patients underwent treatment with electroconvulsive therapy and 14 underwent treatment with repetitive transcranial magnetic stimulation. Patients were tested on three occasions: before initiation of treatment, at the end of treatment, and 2 weeks after the end of treatment. MethodsElectroconvulsive therapy was applied unilaterally approximately three times per week for 2 to 4 weeks. Repetitive transcranial magnetic stimulation was applied in sessions of 1600 stimuli at 10 Hertz and 90% of motor threshold intensity to the left dorsolateral prefrontal cortex daily (Monday through Friday) for 2 consecutive weeks. ResultsResults indicate that electroconvulsive therapy had a more positive effect on mood than did a 2-week trial of repetitive transcranial magnetic stimulation. With regard to cognitive outcome measures, electroconvulsive therapy exerted a deleterious but transient effect on various components of memory that were no longer detected 2 weeks after the end of treatment; however, there was evidence of persistent retrograde amnesia after treatment with electroconvulsive therapy. As a group, repetitive transcranial magnetic stimulation patients experienced only a modest reduction in depression severity but there was no evidence of anterograde or retrograde memory deficits in the aftermath of treatment with repetitive transcranial magnetic stimulation. ConclusionsFindings suggest that electroconvulsive therapy is associated with transient negative cognitive side effects, most of which dissipate in the days after treatment. Deficits of this sort are not apparent after treatment with a 2-week course of repetitive transcranial magnetic stimulation.
Contrast enhancement of medical images using multiscale edge representation

We demonstrate a simple and effective method for image contrast enhancement based on the multiscale edge representation of images. The contrast of an image can be enhanced simply by stretching or scaling the multiscale gradient maxima of the image. This method offers flexibility to selectively enhance features of different sizes and ability to control noise magnification. Experimental results from enhanced medical images are presented.
Using bioimpedance plethysmography for measuring the pulse wave velocity of peripheral vascular

Real-time cardiovascular monitors are crucial for preventing cardiovascular diseases. In this study, a simple bioimpedance plethysmography method was employed to measure the pulse wave velocity (PWV) from the radial artery in the wrist to the middle finger. In addition, electrocardiography was combined with the bioimpedance method to calculate the PWV from R and T waves to the middle finger. The results indicated that pulse waves can be measured from the middle finger, and PWV can be calculated from the middle finger. In this experiment, cuffs were employed to temporarily block blood flow to observe changes in PWV. The statistical results indicated that temporary blockage of blood flow did not influence the PWV of typical healthy people. Moreover, multiple regression analysis was adopted to establish a regression equation for estimating two types of PWV, and the relevance of the two types of PWV with other physiological parameters were also analysed.
Pattern of radiation-induced RET and NTRK1 rearrangements in 191 post-chernobyl papillary thyroid carcinomas: biological, phenotypic, and clinical implications.

Molecular genetic aberrations and the related phenotypes were investigated in 191 papillary thyroid carcinomas (PTCs) from patients exposed at young age to radioiodine released from the Chernobyl reactor. A high prevalence of RET gene rearrangements (62.3%) with a significant predominance of ELE1/RET (PTC3) over H4/RET (PTC1) rearrangements was found in PTCs of the first post-Chernobyl decade. NTRK1 rearrangements were rare (3.3%). In 3.3%, we observed novel types of RET rearrangements: GOLGA5/ RET (PTC5), HTIF/RET (PTC6), RFG7/RET (PTC7), and an as yet undefined RFGX/RET.RET rearrangements, preferentially ELE1/RET, are related to rapid tumor development. At longer intervals after exposure to ionizing radiation, the prevalence of RET rearrangements declines with a shift from ELE1/RET to H4/RET, most significantly in female patients. The prevalence of specific types of rearrangements is independent of age at irradiation. A significantly higher prevalence of ELE1/RET was observed in the most heavily contaminated Oblasts, Gomel and Brest, suggesting a preferential formation of this type of rearrangement after high thyroid doses. RET rearrangement is related to aggressive growth: Rearrangement-positive PTCs were in a more advanced pT category and more frequently in the pN1 category at presentation than rearrangement-negative PTCs. ELE1/RET is related to the solid variant of PTC, H4/RET more frequently to typical papillary structures. The genotype/phenotype evaluation of post-Chernobyl PTCs reveals a characteristic spectrum of gene rearrangements that lead to typical phenotypes with important biological and clinical implications.
An Approach to Pinpointing Bug-Induced Failure in Logs of Open Cloud Platforms

Software bugs have been one of the dominant causes of system failures, especially in cloud systems based on open source platforms. One big challenge for troubleshooting these cloud systems is to pinpoint the software bug-induced failure in large and complex log files which is a nightmare for administrators. So far, there has been little study on how to identity bug-induced failures based on log analysis. In this paper, we analyze and describe features of bug-induced failure logs from bug repository and Q&A websites, and then propose a general automatic approach to pinpoint logs of bug-induced failure from log files of open cloud platform. In the approach, two algorithms called MPIN and SPIN are presented for log classification. We evaluate our approach by applying logs collected from bug repositories of OpenStack and Hadoop, and five Q&A websites. The experimental result shows that the proposed approach can identify logs of bug-induced failure in OpenStack logs with 83.9% precision, and for Hadoop logs with 82.52% precision. Keywords—open cloud platforms, log analysis, buginduced failures, machine learning
Cross-sectional associations between high-deprivation home and neighbourhood environments, and health-related variables among Liverpool children

Objectives (1) To investigate differences in health-related, home and neighbourhood environmental variables between Liverpool children living in areas of high deprivation (HD) and medium-to-high deprivation (MD) and (2) to assess associations between these perceived home and neighbourhood environments and health-related variables stratified by deprivation group. Design Cross-sectional study. Setting 10 Liverpool primary schools in 2014. Participants 194 children aged 9–10 years. Main outcome measures Health-related variables (self-reported physical activity (PA) (Physical Activity Questionnaire for Older Children, PAQ-C), cardiorespiratory fitness, body mass index (BMI) z-scores, waist circumference), home environment variables: (garden/backyard access, independent mobility, screen-based media restrictions, bedroom media) and neighbourhood walkability (Neighbourhood Environment Walkability Scale for Youth, NEWS-Y). Explanatory measures Area deprivation. Results There were significant differences between HD and MD children's BMI z-scores (p<0.01), waist circumference (p<0.001) and cardiorespiratory fitness (p<0.01). HD children had significantly higher bedroom media availability (p<0.05) and independent mobility scores than MD children (p<0.05). MD children had significantly higher residential density and neighbourhood aesthetics scores, and lower crime safety, pedestrian and road traffic safety scores than HD children, all of which indicated higher walkability (p<0.01). HD children's BMI z-scores (β=−0.29, p<0.01) and waist circumferences (β=−0.27, p<0.01) were inversely associated with neighbourhood aesthetics. HD children's PA was negatively associated with bedroom media (β=−0.24, p<0.01), and MD children's PA was positively associated with independent mobility (β=0.25, p<0.01). MD children's independent mobility was inversely associated with crime safety (β=−0.28, p<0.01) and neighbourhood aesthetics (β=−0.24, p<0.05). Conclusions Children living in HD areas had the least favourable health-related variables and were exposed to home and neighbourhood environments that are unconducive to health-promoting behaviours. Less access to bedroom media equipment and greater independent mobility were strongly associated with higher PA in HD and MD children, respectively. Facilitating independent mobility and encouraging outdoor play may act as effective strategies to enhance PA levels and reduce sedentary time in primary school-aged children.
Image stitching with single-hidden layer feedforward neural networks

In this paper, a novel image stitching method is proposed, which utilizes scale-invariant feature transform (SIFT) feature and single-hidden layer feedforward neural network (SLFN) to get higher precision of parameter estimation. In this method, features are extracted from the image sets by the SIFT descriptor and form into the input vector of the SLFN. The output of the SLFN is those translation, rotation and scaling parameters with respect to reference and registered image sets. We also apply a fast learning scheme, called pseudoinverse learning, to train SLFN to get higher training efficiency. Comparative experiments are performed between our proposed method and the traditional random sample consensus (RANSAC) based method. The results show that our method has the advantage not only at accuracy but also remarkably at fast speed.