Miracle-dz/UniFAR-FTUs huggingface dataset:
Chandra and XMM–Newton observations of the low-luminosity X-ray pulsators SAX J1324.4−6200 and SAX J1452.8−5949

We present results from our Chandra and XMM-Newton observations of two low-luminosity X-ray pulsators SAX J1324.4-6200 and SAX J1452.8-5949 which have spin periods of 172 and 437 s, respectively. The XMM-Newton spectra for both sources can be fitted well with a simple power-law model of photon index, Gamma similar to 1.0. A blackbody model can equally well fit the spectra with a temperature, kT similar to 2 keV, for both sources. During our XMM-Newton observations, SAX J1324.4-6200 is detected with coherent X-ray pulsations at a period of 172.86 +/- 0.02 s while no pulsations with a pulse fraction greater than 18 per cent (at 95 per cent confidence level) in 0.2-12 keV energy band are detected in SAX J1452.8-5949. The spin period of SAX J1324.4-6200 is found to be increasing on a time-scale of (P) over dot = (6.34 +/- 0.08) x 10(-9) s s(-1) which would suggest that the accretor is a neutron star and not a white dwarf. Using subarcsec spatial resolution of the Chandra telescope, possible counterparts are seen for both sources in the near-infrared images obtained with the son of infrared spectrometer and array camera (SOFI) instrument on the New Technology Telescope. The X-ray and near-infrared properties of SAX J1324.4-6200 suggest it to be a persistent high-mass accreting X-ray pulsar at a distance <= 8 kpc. We identify the near-infrared counterpart of SAX J1452.8-5949 to be a late-type main-sequence star at a distance <= 10 kpc, thus ruling out SAX J1452.8-5949 to be a high-mass X-ray binary. However, with the present X-ray and near-infrared observations, we cannot make any further conclusive conclusion about the nature of SAX J1452.8-5949.
Modeling of photovoltaic fields in mismatching conditions by means of inflection voltages

This paper presents a suitable algorithm for modeling photovoltaic fields operating under mismatching conditions. It is based on the detailed non-linear model (including series and parallel resistors) of all PV modules composing the PV field. The main advantage is in the possibility to express each PV module voltage as an explicit function of the current by using the Lambert-W function, thus the PV field is analyzed string-by-string and one equation is constructed by equalizing the string voltage with the voltages of all active modules and the blocking diode. Then the field current is calculated by adding the currents of all strings for a same string voltage. The computational burden and accuracy of the proposed algorithm was tested experimentally and compared with previous approach proposed in literature. A string of 4 PV panels has been used as test bench and the maximum power has been evaluated by considering and by neglecting the series and parallel resistors in the PV models. The power and current relative mean errors between the experimental and estimated values were 1.80 % (0.57 W) and 4.23 % (1.02 W), respectively, demonstrating that the relative error in the estimation of the maximum power can be improved by almost 50% adopting the complete PV model.
Human Cancer Xenografts Dihydropyrimidine Dehydrogenase Activities in Tumors in Doxifluridine and the Ratio of Thymidine Phosphorylase to Positive Correlation between the Efficacy of Capecitabine and Updated Version

Capecitabine (/V4-pentyloxycarbonyl-5'-deoxy-5-fluorocytidine) is a new fluoropyrimidine carbamate, which is converted to 5-fluorouracil (5-FUra) selectively in tumors through the intermediate metabolite 5'deoxy-5-fluorouridine (5'-dFUrd, doxifluridine). 5'-dFUrd is metabolized to 5-FUra by thymidine phosphorylase (dThdPase) located in high levels in various types of solid tumors from patients, whereas 5-FUra generated is catabolized to dihydrofluorouracil by dihydropyrimidine dehydrogenase (DPD). The present study investigated whether the efficacy of capecitabine and its intermediate metabolite 5'-dFUrd correlates with levels of these enzymes in various human cancer xenograft models. Capecitabine and 5'-dH rii were highly effective and inhibited tumor growth by more than 50% in 18 of 24 xenograft lines (75%) and 15 of 24 xenograft lines (63%), respectively, whereas 5-FUra and a mixture of tegafur and uracil were effective only in 1 of 24 (4.2%) and 5 of 24 (21%), respectively. The efficacy of Capecitabine correlated with dThdPase activity. However, Capecitabine was effective even in tumors with lower levels of dThdPase if DPD levels were also lower. In contrast, it was not as effective even in tumors with sufficient levels of dThdPase if DPD levels were very high. The efficacy of Capecitabine consequently correlated very well with and depended on the ratio of these two enzymes in tumors. These results indicate that Capecitabine might exert its efficacy through 5-1 I ra gener ated in tumor tissues but not through that generated in normal organs. On the other hand, there was no correlation between the efficacy of a mixture of tegafur and uracil and these enzyme activities in tumors. The efficacy of Capecitabine would be optimized by selecting patients who have tumors with a high ratio of dThdPase to DPD activities.
Title of Document: THE DEVELOPMENT AND TESTING OF AN IMPLICIT LIE DETECTION SYSTEM.

Title of Document: THE DEVELOPMENT AND TESTING OF AN IMPLICIT LIE DETECTION SYSTEM. Scott Roberts, Doctor of Philosophy, 2008 Directed By: Professor Harold Sigall, Ph.D. Department of Psychology University of Maryland A series of five experiments were conducted to explore whether Greenwald, McGhee, & Schwartz’s (1998) Implicit Association Test (IAT), which purportedly measures implicit affective evaluations, could be modified to differentiate between honest and deceptive responding to forced-choice questioning. Experiments 1 and 2 demonstrated that a dual-discrimination task can in fact be useful in deception detection but that the relative reaction time differences run opposite in direction from those expected from the typical IAT bias pattern. Subsequent experiments assessed the procedure’s susceptibility to simple countermeasures (Experiment 4) and tested variations to its trial sequence (Experiment 3) and stimulus presentation (Experiment 5). Neither of the two procedure variants was successful in producing above-chance predictions and instructions to delay reactions times to a constant latency sufficiently undermined the original procedure’s efficacy. The applied limitations notwithstanding, the present research extends the relevance of dual-discrimination methodologies and supports the idea that biographical information is cognitively represented such that what is known to be true or false is implicitly associated with one’s general concepts of “truth” and “lie” respectively. THE DEVELOPMENT AND TESTING OF AN IMPLICIT LIE DETECTION SYSTEM.
Novel nonvolatile memory hierarchies to realize "normally-off mobile processors"

This paper presents novel processor architecture for HP-processor with nonvolatile/volatile hybrid cache memory. By simulations of high-performance (HP)-processor using MTJs, it has been clarified that total power of the HP-processor using perpendicular-(p-)STT-MRAM can be reduced by over 90 % with little degradation of processor performance. The presented architecture with nonvolatile memory hierarchy will realize the “normally-off computers”.
A Calibration-Free 14b 70MS/s 3.3mm2 235mW 0.13um CMOS Pipeline ADC with High-Matching 3-D Symmetric Capacitors

A 14b 70MS/s 3-stage pipeline ADC in a 0.13mum CMOS process employs signal insensitive 3D fully symmetric capacitors for high matching accuracy without any calibration scheme. The prototype ADC with a 0.35mum minimum channel length for 2.5V system applications shows measured differential and integral nonlinearities of 0.65LSB and 1.80LSB at 14b, occupies a die area of 3.3mm2, and consumes 235mW at 70MS/s
A computer-based environment for the study of relational query languages

In this paper, we describe an environment developed to support a rich learning experience in which practice and theory in relational databases are better integrated, enabling students from various backgrounds to appreciate the significance of relational theory and the logical flaws in SQL. Our lightweight open source software includes the aspects of a commercial database system that are most relevant to teaching relational databases and can be run on several platforms.
Lip contour extraction using RGB color space and fuzzy c-means clustering

Lip contour extraction is very important issue in visual speech recognition systems (lip reading). To extract the lip contour, proper segmentation is needed. There are many approaches for image segmentation such as colour segmentation (histogram-based and clustering-based) that have been widely used in different areas. In this paper we use RGB colour space and fuzzy C-means clustering for lip segmentation. Compared to previous methods, we obtain a simple feature for lip region extraction using RGB components which can be used as input to C-means clustering algorithm for lip region extraction. Then the outputs of the C-means clustering algorithm are fed into active contour model to obtain final lip region. We tested the proposed algorithm with different images and results showed good segmentation for different speakers with different illumination.
Detection of DDoS Backscatter Based on Traffic Features of Darknet TCP Packets

In this work, we propose a method to discriminate backscatter caused by DDoS attacks from normal traffic. Since DDoS attacks are imminent threats which could give serious economic damages to private companies and public organizations, it is quite important to detect DDoS backscatter as early as possible. To do this, 11 features of port/IP information are defined for network packets which are sent within a short time, and these features of packet traffic are classified by Suppurt Vector Machine (SVM). In the experiments, we use TCP packets for the evaluation because they include control flags (e.g. SYN-ACK, RST-ACK, RST, ACK) which can give label information (i.e. Backscatter or non-backscatter). We confirm that the proposed method can discriminate DDoS backscatter correctly from unknown dark net TCP packets with more than 90% accuracy.
Supplementation of Superfine Powder Prepared from Chaenomeles speciosa Fruit Increases Endurance Capacity in Rats via Antioxidant and Nrf2/ARE Signaling Pathway

Chaenomeles speciosa fruit is a traditional herb medicine widely used in China. In this study, superfine powder of C. speciosa fruit (SCE), ground by supersonic nitrogen airflow at −140°C, was investigated to assess its in vitro antioxidant activity and in vivo antiphysical fatigue activity. SCE was homogenous (d < 10 μm) and rich in antioxidants like polyphenols, saponins, oleanolic acid, ursolic acid, ascorbic acid, and SOD. According to the in vitro experiments, SCE displayed promising antioxidant activity with powerful FARP, SC-DPPH, and SC-SAR activities. According to the in vivo experiments, rats supplemented with SCE had prolonged exhaustive swimming time (57%) compared to the nonsupplemented rats. Meanwhile, compared to the nonsupplemented rats, the SCE-supplemented rats had higher levels of blood glucose and liver and muscular glycogen and lower levels of LA and BUN. Lower MDA, higher antioxidant enzymes (SOD, CAT, and GSH-Px) activities, and upregulated Nrf2/ARE mediated antioxidant enzymes (HO-1, Trx, GCLM, and GCLC) expression were also detected in the supplemented group. This study indicates that SCE is a potent antioxidant and antifatigue agent, and SCE could be a promising raw material for the food and pharmaceutical industries.
An Image-Sequence Compressing Algorithm Based on Homography Transformation for Unmanned Aerial Vehicle

Focus on the image compressing problem of unmanned aerial vehicle with high compression ratio, fixed compressing ratio and low computational complexity requirement, a low-complexity image-sequence compressing algorithm based on homography transformation was proposed. The image sequences were dynamically divided into frame-groups according the data from airborne inertial navigation systems, and the intermediate frames in the same frame-group was b i-directionally predicted by the first-frame and the end-frame with homography transformation. The homography matrix was got approximately by the airborne inertial navigation systems firstly and then was accurately computed by fast multiple sub-areas template matching. At the end the first frame and the residual images of the intermediate frames of the same frame-group was merged into a big image and coded by JPEG2000 to generate fixed-size code streams. The experiment results show that the proposed algorithm was with high compression performance, low computational complexity and excellent capacity for code-size control and will has good prospect in engineer.
Algorithms for Efficient Collaborative Filtering

In this work we present a series of collaborative filtering algorithms known for their simplicity and efficiency. The efficiency of this algorithm was compared with that of other more representative collaborative filtering algorithms. The results demonstrate that the response times are better than those of the rest (at least two orders of magnitude), in the training as well as when making predictions. Furthermore, when determining the quality of the predictions, the behavior of our algorithms is similar to that of the other algorithms, and even better when dealing with low-density training sets.
Sex and Race Determination From The Base Of The Skull

The ability to determine sex and race from skeletal remains is a fundamental feature of any skeletal analysis, including population studies and personal identification. Typically, sex and race is estimated from the cranium (Giles and Elliot 1962, 1963) and recently from the base of the cranium (Holland 1986). This study investigates the application of seven craniometric measurements from the base of the skull for the identification of sexual and ethnic groups. This study employs samples from two skeletal collections, the Hamman-Todd (n=211) and the University of Tennessee donated and forensic collections (n=81 ). Seven measurements are taken on 292 ( 101 white males, 68 white females, 68 black males and 55 black females) individuals of known sex and race. The ability to discriminate sex and race for both the Hamman-Todd and the University of Tennessee sample is investigated. The implication of secular trends, as well as dimensional change of the measurements occuring in the sample is considered in the analysis. Multivariate and discriminant analyses on the craniometrics are used to test for differences between the variables sex and race. The variables demonstrate sexual dimorphism and racial distinctions in the Hamman-Todd and University of Tennessee collections. The statistical tests indicate the probability of accurately assigning the correct sex to be 70.01 % and the probability of assigning the correct race to be 66.96%. The ability to accurately classify the variables of
Serious Games for Talent Selection and Development

The use of serious games is quickly becoming a more mainstream method for achieving key objectives in a variety of business initiatives. Having produced many positive outcomes as a result of applications designed for the military, education, healthcare, and the government, serious games have infiltrated the corporate world on a large scale. Programs such as customer attraction and retention, employee recruitment and training, marketing, performance management, and talent measurement (just to name a few) are quickly realizing the benefits of serious games and the broader trend of gamification (see DuVernet & Popp, 2014). In fact, analysts have posited that this trend will be a part of 25% of business processes by 2015 (Gartner, 2011a), will expand to more than a $2.8 billion business by 2016, and will see 70% of global businesses utilizing at least one “gamified” application by 2014 (Gartner, 2011b). If these predictions materialize, we will be sitting on the verge of a revolution in the way the corporate world approaches traditional business challenges.
Ontology Mapping for Interoperability in Semantic Web

Ontology mapping is the process whereby two ontologies are semantically related at conceptual level and the source ontology instances are transformed into target ontology entities according to those semantic relations. The objective of MAFRA–MApping FRAmework – is to cover all the phases of the ontology mapping process, including analysis, specification, representation, execution and evolution. The MAFRA Toolkit is an implementation of MAFRA, adopting an open architecture in order to observe the Semantic Web requirements, namely performance and transformation capabilities. One of the MAFRA Toolkit novelties respects its service-oriented approach, which claims that the capabilities of an ontology mapping system dependent on what transformations are present. Independent, plug able services are then responsible for the instances transformations, but they also provide support for other ontology mapping tasks like automatic specification of semantic relations, negotiation and evolution.
Geocoding crime and a first estimate of a minimum acceptable hit rate

Spatial crime analysis relies not only on accurate geocoding but also the achievement of a high level of geocoding success. Geocoding is the task of converting locations, such as the addresses of burglary victims, into grid coordinates and is a task performed regularly by many crime analysts. Data sources include police offence and incident databases where the quality of geographical references can vary. The reality of dealing with this real world data means that achieving a completely successful geocoding process is rare and few crime analysts can get a hit rate (the percentage measure of success) of 100%. This paper seeks the answer to a seemingly simple question: what is an ‘acceptable’ minimum geocoding hit rate for crime data? This paper uses a number of different crime patterns and Monte Carlo simulation to replicate a declining geocoding hit rate to answer this question. Reduced crime rates of mapped points, aggregated to census boundaries, are compared for a statistically significant difference. The result indicates 85% as a first estimate of a minimum reliable geocoding rate, and this result is applicable to many address-based, point pattern datasets beyond the crime arena.
Designing and architecting process-aware Web applications with EPML

An emerging class of Web applications is driving the evolution of the Web toward a Business System. These applications allow the participation of several actors to complex enterprise-wide (or even multi-enterprise) business processes and pose new challenges to the software designer and to the software architect. In this paper we show how, promoting an effective separation of concerns, a process modeling language and its enactment engine can be used in the modeling and in the implementation of process-aware Web applications.
Sensory-motor primitives as a basis for imitation: linking perception to action and biology to robotics

Imitation is a powerful means of skill acquisition, social interaction, and cultural transfer. Although popular notions of \monkeying" and \parroting" make the phenomenon appear ubiquitous, the more formal deenition of \true imitation" limits it to very few species, as it requires the ability t o acquire arbitrary new skills from observation (Tomasello, Kruger & Rather 1993, Byrne & Russon 1998). The diiculty in teasing true imitation apart from related phenomena, including stimulus enhancement, social facilitation, emulation, and priming, indicates that the underlying mechanism for imitation likely involves a complex interaction of learning mechanisms. We consider imitation to be a broad capability based on a spectrum of behavior and learning systems of increasing complexity, only the most sophisticated of which correspond to the deenition of true imitation. In our work, we view imitation as the capability to acquire new skills by observation, based on the the imitator's existing behavioral repertoire, which m a y be simple or sophisticated. Speciically, we focus on motor behaviors, and on their underlying mechanisms. In this chapter, we present a model of imitation that results from an incrementally evolved capability based on an evolutionarily old motor control structure (motor primitives), utilized by a m e c hanism for movement understanding and simple mimicry (mirror neurons), driven by a specialized attentional mechanism. The entire system is based on the notion of primitives, structures that directly link the visual and motor systems in the context of complete generalized movements. The capacity for mimicry is based on this direct mapping mechanism, and itself serves as a basis for more complex, less direct forms of imitation and social learning. Thus primitives are the fundamental substrate for a powerful system that couples visual perception and motor execution, and uniies recognition, classiication, and learning of movement skills. A \primitive" can refer to something that is old in an evolutionary sense, such as structures that organize the underlying mechanisms of movement, including spinal elds (Bizzi, Mussa-Ivaldi & Giszter 1991) and central pattern generators (Stein 1997). In a computational sense, primitives can be viewed as a basis set of motor programs that are suucient, through combination operators, for generating the entire movement repertoire. Our imitation model combines the two i n terpretationss it involves a system that is innately primed with a set of primitives suucient f o r a l a r g e m o vement repertoire, and is capable of learning …
Molecular Characterization of Putative Virulence Determinants in Burkholderia pseudomallei

The Gram-negative saprophyte Burkholderia pseudomallei is the causative agent of melioidosis, an infectious disease which is endemic in Southeast Asia and northern Australia. This bacterium possesses many virulence factors which are thought to contribute to its survival and pathogenicity. Using a virulent clinical isolate of B. pseudomallei and an attenuated strain of the same B. pseudomallei isolate, 6 genes BPSL2033, BP1026B_I2784, BP1026B_I2780, BURPS1106A_A0094, BURPS1106A_1131, and BURPS1710A_1419 were identified earlier by PCR-based subtractive hybridization. These genes were extensively characterized at the molecular level, together with an additional gene BPSL3147 that had been identified by other investigators. Through a reverse genetic approach, single-gene knockout mutants were successfully constructed by using site-specific insertion mutagenesis and were confirmed by PCR. BPSL2033::Km and BURPS1710A_1419::Km mutants showed reduced rates of survival inside macrophage RAW 264.7 cells and also low levels of virulence in the nematode infection model. BPSL2033::Km demonstrated weak statistical significance (P = 0.049) at 8 hours after infection in macrophage infection study but this was not seen in BURPS1710A_1419::Km. Nevertheless, complemented strains of both genes were able to partially restore the gene defects in both in vitro and in vivo studies, thus suggesting that they individually play a minor role in the virulence of B. pseudomallei.