Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-Time Analytical Processing with SQL Server

Over the last two releases SQL Server has integrated two specialized engines into the core system: the Apollo column store engine for analytical workloads and the Hekaton in-memory engine for high-performance OLTP workloads. There is an increasing demand for real-time analytics, that is, for running analytical queries and reporting on the same system as transaction processing so as to have access to the freshest data. SQL Server 2016 will include enhancements to column store indexes and in-memory tables that significantly improve performance on such hybrid workloads. This paper describes four such enhancements: column store indexes on in-memory tables, making secondary column store indexes on disk-based tables updatable, allowing B-tree indexes on primary column store indexes, and further speeding up the column store scan oper ator.
A Philosopher in the Classroom

Abstract This article picks up on John Elliott's interrelated interests in curriculum and philosophy of education and argues for the centrality of philosophy and indeed, philosophising, in action research. It offers a distinction between (i) philosophy of action research, which refers to the ideas rooted in epistemology, ethics and social philosophy which might underlie the idea and practice of action research, and (ii) philosophy in action research, which refers to the ways in which action researchers need to engage more self-consciously with philosophical questions. The two main parts of the article explore these two dimensions of the relationship more fully and, in the second part, with particular reference to Elliott's own writing.
Factors Predictive of Student Completion in a Collegiate Honors Program

This study identified factors that were potential predictors of student completion in a collegiate honors program, evaluated the relative predictive importance of these factors, and used them to describe how the completion groups differed. Records were examined from 336 freshman honors program participants at a large, Midwestern, public university. After five years, the students were classified into three completion groups: completers (n = 62), partial completers (n = 73), and noncompleters (n = 201). Using an initial set of 16 pre- and post-college-entry variables that were grounded in Tinto's (1993) model of institutional departure, preliminary univariate and subsequent multivariate discriminant analyses resulted in completion-group prediction with 54.28% accuracy. The most important discriminating variables were the high school GPA, high school class rank, first-semester college GPA, gender, and initial housing assignment (honors housing or other). Implications focus on the improvement of completion rates through informed selection and support of honors program students.
Analysis of the Codon Usage Pattern in the Vibrio Cholerae Genome

Abstract The codon usage in the Vibrio cholerae genome is analyzed in this paper. Although there are much more genes on the chromosome 1 than on chromosome 2, the codon usage patterns of genes on the two chromosomes are quite similar, indicating that the two chromosomes may have coexisted in the same cell for a very long history. Unlike the base frequency pattern observed in other genomes, the G+C content at the third codon position of the V. cholerae genome varies in a rather small interval. The most notable feature of codon usage of V. cholerae genome is that there is a fraction of genes show significant bias in base choice at the second codon position. The 2006 known genes can be classified into two clusters according to the base frequencies at this position. The smaller cluster contains 227 genes, most of which code for proteins involved in transport and binding functions. The encoding products of these genes have significant bias in amino acids composition as compared with other genes. The codon usage patterns for the 1836 function unknown ORFs are also analyzed, which is useful to study their functions.
Radiation of luneburg lens antenna in low frequency range

A modified application of luneburg lens has been demonstrated which is used in ns-pulse radiation. Such a situation has been simulated to have a remarkable enhancement in time-domain gain, radiation pattern and received signal peak-to-peak value. Despite of diffraction of electromagnetic wave, both TEM horn antenna and vivaldi antenna have been worked well focused by the lens. Besides, an modified lunelurg lens has been designed to obtain much more convenience.
A Cooperative Network Intrusion detection Based on Fuzzy SVMs

T he re is a large number of noise in the data obtained from network , which deteriorates intrusion detection performance. To delete the noise data, data preprocess ing is done before the constructi on of hyperplane in support vector machine ( SVM ) . By introduc ing fuzzy theory into SVM, a new method is proposed for network i ntrusion detection. Because the attack behavior is different for different network protocol , a different fuzzy membership function is formatted, such that for each class of protocol there is a SVM. To implement this approach, a f uzzy SVM -based cooperative network intrusion detection system with multi-agent architecture is presented. It is composed of three types of agents corresponding to TCP, UDP , and ICMP protocol s, respectively. Simulation experiment s are done by using KDD CUP 1999 data set , results show that the training time is significantly shortened, storage space requirement is reduced, and classification accuracy is improved.
A pilot study of serotonin-1A receptor genotypes and rapid eye movement sleep sensitivity to serotonergic/cholinergic imbalance in humans: a pharmacological model of depression

Rationale The serotonergic and cholinergic systems are jointly involved in regulating sleep but this system is theorized to be disturbed in depressed individuals. We previously reported that cholinergic and serotonergic agents induce sleep changes partially consistent with monoamine models of sleep disturbances in depression. One potential cause of disturbed neurotransmission is genetic predisposition. The G(-1019) allele of the serotonin-1A (5-HT1A) receptor promoter region predicts an increased risk for depression compared to the wild-type C(-1019) allele. Objective The goal of this study was to investigate how serotonin-1A receptor genotypes mediate sleep sensitivity to pharmacological probes modeling the serotonergic/cholinergic imbalance of depression. Methods Seventeen healthy female participants homozygous for either C (n=11) or G (n=6) alleles aged 18–27 years were tested on four nonconsecutive nights. Participants were given galantamine (an anti-acetylcholinesterase), buspirone (a serotonergic agonist), both drugs together, or placebos before sleeping. Results As reported previously, buspirone significantly increased rapid eye movement (REM) latency (P<0.001), as well as awakenings, percentage of time spent awake, and percentage of time asleep spent in stage N1 (P<0.019). Galantamine increased awakenings, percentage of time spent awake, percentage of time asleep spent in stage N1, and percentage of time asleep spent in REM, and decreased REM latency and percentage of time asleep spent in stage N3 (P<0.019). Galantamine plus buspirone given together disrupted sleep more than either drug alone, lowering sleep efficiency and percentage of time asleep spent in stage N3 and increasing awakenings, percentage of time spent awake, and percentage of time asleep spent in stage N1 (P<0.019). There was no main effect of genotype nor was there a significant multivariate interaction between genotype and drug condition. Conclusion These findings are partially consistent with the literature about sleep in depression, notably short REM latency, higher percentage of total sleep time spent in REM, lower percentage of time asleep spent in stage N3, and increased sleep fragmentation. The C/G mutation in the serotonin-1A receptor promoter region does not appear to cause noticeable differences in the sleep patterns of a relatively small sample of healthy young females. Future studies with larger sample sizes are required.
Test-retest reliability of a questionnaire for the Korea Youth Risk Behavior Web-based Survey.

OBJECTIVES A web-based survey has been administered annually since 2005 throughout Korea to assess the prevalence of adolescent health risk behaviors among middle and high school students. The aim of this study was to evaluate the test-retest reliability of the Korea Youth Risk Behavior Web-based Survey (KYRBWS) questionnaire. METHODS A convenience sample of 2298 middle and high school students participated in self-administered questionnaire surveys twice, approximately two weeks apart, in 2008. The percent agreement, kappa statistics, and prevalence rates at the first and second surveys were computed for the core subset of 39 self-reported health risk behavior indices of the KYRBWS. RESULTS Among 39 indices, seven indices had kappas ≥ 0.81 and all of the indices had kappas ≥ 0.41. Based on non-overlapping 95% confidence intervals, three indices had significantly different prevalence rates between the first and second surveys. In the subgroup analyses by school grade and gender, two indices had significantly different reliability estimates between middle and high school students. There were no significantly different reliability estimates between male and female students, except for one index. CONCLUSIONS This study demonstrated that the reliability estimates for the KYRBWS questionnaire are varied, but generally reliable over time. The indices with low reliability estimates need to be evaluated further in order to determine whether the indices should be modified or deleted from future versions of the KYRBWS.
Improved spoken document summarization with coverage modeling techniques

Extractive summarization aims at selecting a set of indicative sentences from a source document as a summary that can express the major theme of the document. A general consensus on extractive summarization is that both relevance and coverage are critical issues to address. The existing methods designed to model coverage can be characterized by either reducing redundancy or increasing diversity in the summary. Maximal margin relevance (MMR) is a widely-cited method since it takes both relevance and redundancy into account when generating a summary for a given document. In addition to MMR, there is only a dearth of research concentrating on reducing redundancy or increasing diversity for the spoken document summarization task, as far as we are aware. Motivated by these observations, two major contributions are presented in this paper. First, in contrast to MMR, which considers coverage by reducing redundancy, we propose two novel coverage-based methods, which directly increase diversity. With the proposed methods, a set of representative sentences, which not only are relevant to the given document but also cover most of the important sub-themes of the document, can be selected automatically. Second, we make a step forward to plug in several document/sentence representation methods into the proposed framework to further enhance the summarization performance. A series of empirical evaluations demonstrate the effectiveness of our proposed methods.
EasiTest: A Multi-Radio Testbed for Heterogeneous Wireless Sensor Networks

In this paper, we propose EasiTest, a multi-radio testbed for heterogeneous wireless sensor networks (WSN). Two types of sensor nodes, specifically, high speed multi-radio node (EZ271) and low speed single radio node (EZ521) are developed. An administration platform is provided to monitor and control the testbed. EasiTest enjoys high flexibility, powerful processing capability and ease of expansion. EasiTest provides a powerful tool not only for the study and evaluation of large scale, heterogeneous sensor networks, but also for quick prototyping of practical WSN applications. To demonstrate the capability of the testbed, we study the co-existence problem of IEEE 802.11 and IEEE 802.15. 4. Guidelines are given on channel allocation and network parameter configuration to minimize the interference.
Socio-technical analysis of system-of-systems using responsibility modelling

iv Contents.v 1. Thesis Overview.1 1.1 Introduction.1 1.2 Academic Merit . 2 1.3 Problem Space . 2 1.4 Solution Space . 3 1.5 Thesis & General Approach . 4 1.6 Aim and Objectives . 4 1.7 Novel Contributions.5 1.8 Thesis Structure . 6 2. System-of-Systems and their Socio-Technical Analysis . 9 2.1 Introduction.9 2.2 System-of-Systems . 9 2.3 Paradigms for Representing and Analysing Socio-Technical Systems . 10 2.4 Modelling Abstractions for representing Socio-Technical Systems.13 2.5 Comparative Analysis.37 2.6 Chapter Summary . 42 3. Research Methods . 43 3.1 Introduction.43 3.2 Data Collection . 43 3.3 Data Analysis . 47 3.4 Chapter Summary . 54 4. A Modelling Abstraction for Socio-Technical Troubleshooting and Threat Analysis . 55
Sonographic evaluation of cerebral ventricular system in healthy , full term infants aged 1 – 6 months *

Objective: Study of the cerebral ventricular system by ultrasonography with the objective of establishing parameters for the diagnosis of mild ventricular dilatation. Materials and Methods: Prospective study of 105 healthy, full term infants aged 1–6 months, submitted to monthly scans for morphological data evaluation and measurements of ventricle/ hemisphere ratio, and anteroposterior diameter of frontal horn and fourth ventricle. Results: Normality mean, standard deviation and percentile were obtained for each age range. Negative results were observed in the search for anechoic halo surrounding the posterior two thirds of the choroid plexus on coronal section VI for evaluation of temporal/posterior horns, and the third ventricle was seen as an anechoic cleft < 1 mm on coronal section V in all of the evaluated infants. Conclusion: Sonographic findings related to temporal/posterior horns and third ventricle associated with the 95th percentile as upper limit of normality can be utilized as parameters for a simplified diagnosis of mild ventricular dilatation.
Public relations research priorities: a Delphi study

Purpose – The purpose of this paper is to identify and rank the most important topics for research in the field of public relations. An associated outcome was to propose the research questions most closely linked to the prioritised topics.Design/methodology/approach – An international Delphi study on the priorities for public relations research, conducted in 2007 amongst academics, practitioners and senior executives of professional and industry bodies was used to investigate expert opinion on research priorities for public relations. This choice of qualitative methodology replicated earlier studies by McElreath, White and Blamphin, Synnott and McKie, and Van Ruler et al.Findings – The role of public relations in the strategic operation of organisations, and the creation of value by public relations through social capital and relationships were ranked most highly. Some outcomes were comparable with earlier studies; for instance, evaluation of public relations programmes ranked third in this study and was .
New joint demosaicing and arbitrary-ratio resizing algorithm for color filter array based on DCT approach

This paper presents a new joint demosaicing and arbitrary-ratio resizing algorithm for mosaic images. By using the adaptive heterogeneity projection masks and Sobel- and luminance estimation-based (SL-based) masks, more accurate edge information is extracted first. Next, the fully populated green color plane is constructed by using the edge-sensing approach and color difference idea. Instead of interpolating the R and B color planes directly, the green-red color difference plane and green-blue color difference plane are therefore interpolated in order to reduce the estimation error. Next, based on the discrete cosine transform (DCT) technique, the above three constructed planes are resized to the arbitrary sized ones. Finally, the resized red and blue color planes are constructed by using the three resized planes, and then the arbitrary sized full color image is obtained. To the best of our knowledge, this is the first time that such a joint demosaicing and arbitrary-ratio resizing algorithm for mosaic images is presented. Based on twenty-four popular testing mosaic images, the proposed resizing algorithm has better image quality performance when compared with three native algorithms which are the combinations of three well-know demosaicing methods and one existing resizing method. Thus, the proposed algorithm can be used in consumer electronic products, such as digital cameras and digital camcorders, to provide the quality-efficient arbitrary-ratio resizing effect.
Approximate computing: An integrated hardware approach

Computing today is largely not about calculating a precise numerical end result. Instead, computing platforms are increasingly used to execute applications (such as search, analytics, sensor data processing, recognition, mining, and synthesis) for which “correctness” is defined as producing results that are good enough, or of sufficient quality. These applications are often intrinsically resilient to a large fraction of their computations being executed in an imprecise or approximate manner. However, the design of computing platforms continues to be guided by the principle that every computation must be executed with the same strict notion of correctness. Approximate computing departs from this long-held dogma, and exploits intrinsic application resilience to improve the efficiency (energy or speed) of computing platforms. We describe an integrated approach to approximate computing in hardware that consists of three key components. First, we present an automatic resilience characterization framework that allows the designer to quantitatively evaluate the intrinsic resilience of an application, and to quickly assess the potential of various approximate computing techniques. We then describe scalable effort hardware, an approach to approximate computing wherein hardware is designed with various scaling mechanisms, or knobs that modulate the effort expended towards correctly performing an application's computations. Scaling mechanisms are identified at the algorithm, architecture, and circuit levels, and embodied in the hardware to provide a rich trade-off between computational accuracy and energy. Finally, dynamic effort scaling is proposed as a feedback control approach to modulate the scaling mechanisms at runtime in response to varying application requirements and data characteristics. To demonstrate the proposed concepts, we have designed and fabricated an energy-efficient Recognition and Mining (RM) processor in the TSMC 65nm process technology. Our measurement results demonstrate that approximate computing leads to 2-20X energy savings with minimal impact on output quality across a range of applications.
Recognition of Chemical Entity Mention in Patents using CRF , Domain Specific Dictionaries and Features

We present a system employing domain specific dictionaries and features to recognize chemical entities. The system utilizes sentence segmentation, tokenization, feature generation, Conditional Random Field (CRF) training and one post-processing step. The dictionaries were compiled from PubChem, Wikipedia, ChEMBL, DrugBank, word2vec clusters from US patents belonging to A61K class. We report the evaluation results of the run where development set was not included as part of the training set. The best performing model for CEMP task has the micro average precision, recall and F-score values of 87.26%, 79.98% and 83.46%, respectively.
Facial emotion recognition and alexithymia in adults with somatoform disorders

The primary aim of this study was to investigate facial emotion recognition (FER) in patients with somatoform disorders (SFD). Also of interest was the extent to which concurrent alexithymia contributed to any changes in emotion recognition accuracy. Twenty patients with SFD and 20 healthy, age, sex and education matched, controls were assessed with the Facially Expressed Emotion Labelling Test of FER and the 26‐item Toronto Alexithymia Scale. Patients with SFD exhibited elevated alexithymia symptoms relative to healthy controls. Patients with SFD also recognized significantly fewer emotional expressions than did the healthy controls. However, the group difference in emotion recognition accuracy became nonsignificant once the influence of alexithymia was controlled for statistics. This suggests that the deficit in FER observed in the patients with SFD was most likely a consequence of concurrent alexithymia. It should be noted that neither depression nor anxiety was significantly related to emotion recognition accuracy, suggesting that these variables did not contribute the emotion recognition deficit. Impaired FER observed in the patients with SFD could plausibly have a negative influence on these individuals' social functioning. Depression and Anxiety, 2008. © 2007 Wiley‐Liss, Inc.
p53 is phosphorylated by CDK7-cyclin H in a p36MAT1-dependent manner

The tumor suppressor protein p53 acts as a transcriptional activator that can mediate cellular responses to DNA damage by inducing apoptosis and cell cycle arrest. p53 is a nuclear phosphoprotein, and phosphorylation has been proposed to be a means by which the activity of p53 is regulated. The cyclin-dependent kinase (CDK)-activating kinase (CAK) was originally identified as a cellular kinase required for the activation of a CDK-cyclin complex, and CAK is comprised of three subunits: CDK7, cyclin H, and p36MAT1. CAK is part of the transcription factor IIH multiprotein complex, which is required for RNA polymerase II transcription and nucleotide excision repair. Because of the similarities between p53 and CAK in their involvement in the cell cycle, transcription, and repair, we investigated whether p53 could act as a substrate for phosphorylation by CAK. While CDK7-cyclin H is sufficient for phosphorylation of CDK2, we show that p36MAT1 is required for efficient phosphorylation of p53 by CDK7-cyclin H, suggesting that p36MAT1 can act as a substrate specificity-determining factor for CDK7-cyclin H. We have mapped a major site of phosphorylation by CAK to Ser-33 of p53 and have demonstrated as well that p53 is phosphorylated at this site in vivo. Both wild-type and tumor-derived mutant p53 proteins are efficiently phosphorylated by CAK. Furthermore, we show that p36 and p53 can interact both in vitro and in vivo. These studies reveal a potential mechanism for coupling the regulation of p53 with DNA repair and the basal transcriptional machinery.
Campaign Contributions and Mayoral/Aldermanic Relationships

Independently of Krebs and Pelissero, the authors have studied Chicago election campaign contributions and city council voting. Their findings confirm the differences between the political regimes of Mayors Harold Washington and Richard M. Daley. The authors go further to explore the implication of these empirical findings for what they call the “new Chicago machine. ”