Miracle-dz/UniFAR-FTUs huggingface dataset:
Genomic and proteomic analysis with dynamically growing self organising tree (DGSOT) for measuring clinical outcomes of cancer

Genomics and proteomics microarray technologies are used for analysing molecular and cellular expressions of cancer. This creates a challenge for analysis and interpretation of the data generated as it is produced in large volumes. The current review describes a combined system for genetic, molecular interpretation and analysis of genomics and proteomics technologies that offers a wide range of interpreted results. Artificial neural network systems technology has the type of programmes to best deal with these large volumes of analytical data. The artificial system to be recommended here is to be determined from the analysis and selection of the best of different available technologies currently being used or reviewed for microarray data analysis. The system proposed here is a tree structure, a new hierarchical clustering algorithm called a dynamically growing self-organizing tree (DGSOT) algorithm, which overcomes drawbacks of traditional hierarchical clustering algorithms. The DGSOT algorithm combines horizontal and vertical growth to construct a mutlifurcating hierarchical tree from top to bottom to cluster the data. They are designed to combine the strengths of Neural Networks (NN), which have speed and robustness to noise, and hierarchical clustering tree structure which are minimum prior requirement for number of clusters specification and training in order to output results of interpretable biological context. The combined system will generate an output of biological interpretation of expression profiles associated with diagnosis of disease (including early detection, molecular classification and staging), metastasis (spread of the disease to non-adjacent organs and/or tissues), prognosis (predicting clinical outcome) and response to treatment; it also gives possible therapeutic options ranking them according to their benefits for the patient. Key words : Genomics, proteomics, microarray, dynamically growing self-organizing tree (DGSOT).
Multi-Shot Mining Semantic Part Concepts in CNNs

This paper proposes a new learning strategy that incrementally embeds new object-part concepts into a pre-trained convolutional neural network (CNN), in order to 1) explore explicit semantics for the CNN units and 2) gradually transfer the pre-trained CNN into a “white-box” model for hierarchical object understanding. Given part annotations on a very small number (e.g. 3–12) of objects, our method mines certain units from the pre-trained CNN and associate them with different part concepts. We use a four-layer And-Or graph to organize the CNN units, which clarifies their internal semantic hierarchy. Our method is guided by a small number of part annotations, and it achieves superior part-localization performance (about 28%–107% improvement in part center prediction).
The influence of universities’ organizational features on professorial intellectual leadership

This research examines the intellectual leadership behaviours of senior academics at professoriate level, and the influences of institutional support practices, climate and communication in universities as main organizational features on these behaviours. To explore relations among research variables, qualitative data were collected by interviews with Australian senior academics, and analysed by using content and descriptive analysis techniques. According to senior academics, major professorial leadership behaviours are creating new knowledge, keeping up standards in disciplinary publications, helping younger researchers’ academic development, obtaining competitive grants, raising the reputation of their institutions and using their expertize to influence public debates. In addition, senior academics confirmed that institutional resources contribute generally to their productivity within scholarly leadership, and organizational climate strongly affects their motivation and academic performance. Furthermore, they affirmed that organizational communication has greater impact on their intellectual leadership by its reflections on climate and institutional facilities in universities than its direct effects.
An embedded system for vehicle surrounding monitoring

In this paper, we present a low-cost driving assistant system which can provide the surrounding image of a vehicle in a bird's-eye view. By implementing a fast image stitching algorithm on an embedded platform, this system can generate the around-vehicle view in real time from four fisheye cameras mounted around the vehicle. Moreover, we also propose a dynamic boundary determination method to allow the automatic switch among image sources and to reduce the chance of missing obstacles in the overlapping area. With this bird's-eye view surrounding monitoring system, drivers can visually perceive the condition of the surrounding environment. Driving and parking can then become more easily and safely.
Identification of mucin-depleted foci in the unsectioned colon of azoxymethane-treated rats: correlation with carcinogenesis.

We tested the association between aberrant crypt foci (ACF) and tumor induction by feeding azoxymethane-induced rats (15 mg/kg x 2, s.c.) with synbiotics (Raftilose Synergy 1, a derivative of inulin, 10% of the diet, along with lactobacilli and bifidobacteria). After 16 weeks of feeding, synbiotics significantly increased ACF multiplicity. On the contrary, after 32 weeks, synbiotics significantly decreased intestinal tumors. When the same unsectioned colon used for ACF determination was stained with high-iron diamine Alcian blue, foci of crypts with scarce or absent mucins were identified. We defined these lesions as mucin-depleted foci (MDF), and they were visible in all azoxymethane-treated rats and correlated with tumor induction (MDF/colon: 8.2 +/- 0.9 and 3.8 +/- 0.9 in controls and synbiotic-fed rats, respectively, P < 0.01; crypts/MDF: 12.2 +/- 2 and 6.4 +/- 1 in controls and synbiotic-fed rats, respectively, P < 0.05, means +/- SE, n = 7). There were fewer MDF/colon than ACF, and they were histologically more dysplastic than mucinous lesions identified as ACF in high-iron diamine Alcian blue-stained colon. In conclusion, MDF may be premalignant lesions that predict colon carcinogenesis.
Strong coupling dynamics of four-dimensional $N = 1$ gauge theories from M-theory fivebrane

It has been known that the fivebrane of type IIA theory can be used to give an exact low energy description of N=2 supersymmetric gauge theories in four dimensions. We follow the recent M theory description by Witten and show that it can be used to study theories with N=1 supersymmetry. The N=2 supersymmetry can be broken to N=1 by turning on a mass for the adjoint chiral superfield in the N=2 vector multiplet. We construct the configuration of the fivebrane for both finite and infinite values of the adjoint mass. The fivebrane describes strong coupling dynamics of N=1 theory with SU(N_c) gauge group and N_f quarks. For N_c > N_f, we show how the brane configuration encodes the information of the Affleck-Dine-Seiberg superpotential. For N_c = and < N_f, we study the deformation space of the brane configuration and compare it with the moduli space of the N=1 theory. We find agreement with field theory results, including the quantum deformation of the moduli space at N_c = N_f. We also prove the type II s-rule in M theory and find new non-renormalization theorems for N=1 superpotentials.
Interdisciplinary planning of sustainable value creation modules with low income communities in developing countries

Value creation activities are normally considered to take place in relatively well developed areas of most countries. This is especially true when referring to developing countries where income generation possibilities are normally reserved to urban centers with adequate infrastructure, access to supply chain networks and trained human resources. In order to level quality of life and social conditions of low income rural and urban communities to the regional prosperous areas, opportunities to create local economic development have to be generated. A way to contribute towards the achievement of this end is the generation of sustainable local value creation modules. To achieve this, the integration of several knowledge areas is most of the times necessary in order to secure a smooth implementation in the field increasing thus its success chances. This contribution proposes a method to construct interdisciplinary teams capable of define, develop and conduct projects intending the implementation of value creation modules in economically disadvantaged communities in developing countries.
Assessing the Effects of Aedes aegypti kdr Mutations on Pyrethroid Resistance and Its Fitness Cost

Pyrethroids are the most used insecticide class worldwide. They target the voltage gated sodium channel (NaV), inducing the knockdown effect. In Aedes aegypti, the main dengue vector, the AaNaV substitutions Val1016Ile and Phe1534Cys are the most important knockdown resistance (kdr) mutations. We evaluated the fitness cost of these kdr mutations related to distinct aspects of development and reproduction, in the absence of any other major resistance mechanism. To accomplish this, we initially set up 68 crosses with mosquitoes from a natural population. Allele-specific PCR revealed that one couple, the one originating the CIT-32 strain, had both parents homozygous for both kdr mutations. However, this pyrethroid resistant strain also presented high levels of detoxifying enzymes, which synergistically account for resistance, as revealed by biological and biochemical assays. Therefore, we carried out backcrosses between CIT-32 and Rockefeller (an insecticide susceptible strain) for eight generations in order to bring the kdr mutation into a susceptible genetic background. This new strain, named Rock-kdr, was highly resistant to pyrethroid and presented reduced alteration of detoxifying activity. Fitness of the Rock-kdr was then evaluated in comparison with Rockefeller. In this strain, larval development took longer, adults had an increased locomotor activity, fewer females laid eggs, and produced a lower number of eggs. Under an inter-strain competition scenario, the Rock-kdr larvae developed even slower. Moreover, when Rockefeller and Rock-kdr were reared together in population cage experiments during 15 generations in absence of insecticide, the mutant allele decreased in frequency. These results strongly suggest that the Ae. aegypti kdr mutations have a high fitness cost. Therefore, enhanced surveillance for resistance should be priority in localities where the kdr mutation is found before new adaptive alleles can be selected for diminishing the kdr deleterious effects.
Citizen Forecasts of the 2008 U.S. Presidential Election

We analyze individual probabilistic predictions of state outcomes in the 2008 U.S. presidential election. Employing an original survey of more than 19,000 respondents, we find that partisans gave higher probabilities to their favored candidates, but this bias was reduced by education, numerical sophistication, and the level of Obama support in their home states. In aggregate, we show that individual biases balance out, and the group's predictions were highly accurate, outperforming both Intrade (a prediction market) and fivethirtyeight.com (a poll-based forecast). The implication is that electoral forecasters can often do better asking individuals who they think will win rather than who they want to win. Related Articles Dewitt, Jeff R. , and Richard N. Engstrom. 2011. The Impact of Prolonged Nomination Contests on Presidential Candidate Evaluations and General Election Vote Choice: The Case of 2008. ” Politics & Policy 39 (5): 741-759. http://onlinelibrary.wiley. com/doi/10.1111/j.1747-1346.2011. 00311.x/abstract Knuckey, Jonathan. 2011. “Racial Resentment and Vote Choice in the 2008 U.S. Presidential Election. ” Politics & Policy 39 (4): 559-582. http://onlinelibrary.wiley. com/doi/10.1111/j.1747-1346.2011. 00304.x/abstract Moon, David. 1993. “Information Effects on the Determinants of Electoral Choice in Presidential Elections 1972-88. ” Southeastern Political Review 21 (2): 365-388. http://onlinelibrary.wiley. com/doi/10.1111/j.1747-1346.1993. tb00368.x/abstract Related Media FiveThirtyEight. 2008. “FiveThirtyEight: Nate Silver's Political Calculus. ” The New York Times. http://fivethirtyeight.blogs. nytimes.com/ CNN. 2008. “Election Tracker. ” http://www.cnn. com/ELECTION/2008/map Analizamos las predicciones probabilisticas individuales de los resultados estatales para la eleccion presidencial de los Estados Unidos en 2008. Usando una encuesta original de mas de 19,000 participantes, encontramos que los partidistas dieron una mayor probabilidad a su candidato preferido, pero este sesgo se vio reducido por factores como la educacion, sofisticacion numerica, y el nivel de soporte hacia Obama en sus estados de origen. En conjunto, mostramos que los sesgos individuales se compensan y que las predicciones grupales fueron de gran precision, superando a Intrade (un mercado de predicciones) y fivethirtyeight.com (un pronostico basado en encuestas). La implicacion es que los pronosticos electorales pueden ser mejorados al preguntar a los individuos quien piensan que ganara en lugar de preguntar quien quieren que gane.
Compressive sensing bounds through a unifying framework for sparse models

In this work we investigate the sample complexity of support recovery in sparse signal processing models, with special focus on two compressive sensing scenarios. In particular, we consider models where N covariates X = (X1,.,XN) along with outcome Y are observed, with the assumption that the outcome Y is conditionally independent of the other covariates given K ≪ N covariates. Using asymptotic information theoretic analyses, we establish sufficient conditions on the number of samples in order to successfully recover the K salient covariates. We apply our results to two variants of the compressive sensing (CS) problem: (1) compressive sensing with a measurement noise model, (2) 1-bit quantized compressive sensing. In both models we consider sensing with independent and correlated Gaussian sensing matrices. We show that the sufficiency bounds we obtain on the number of measurements in both cases are comparable to the best known bounds while providing a novel perspective for the theoretical analysis of such models. In addition, we quantify how the correlation between the sensing columns affects the number of measurements. Our findings for the CS models demonstrate the applicability and flexibility of our general results on the sample complexity in sparse signal processing models.
An X-Band Transformer-Coupled Varactor-Less Quadrature Current-Controlled Oscillator in 0.18  $\mu{\hbox {m}}$ SiGe BiCMOS Technology

This paper presents a transformer-coupled varactor- less quadrature current-controlled oscillator (QCCO) RFIC covering the entire X-Band from 8.7 GHz to 13.8 GHz. The QCCO incorporates a transformer-coupled technique that achieves frequency tuning by varying the bias currents in the primary and secondary windings. Fabricated in a 0.18 μm SiGe BiCMOS technology, the prototype QCCO achieves a 45.3% wide tuning range. With two stacked octagonal transformers the QCCO core circuit occupies 0.4 × 0.5 mm2 chip area and draws 8-18 mA current under a 1.8 V power supply. The measured phase noise for 11.02 GHz quadrature outputs is about - 110 dBc/Hz at 10MHz offset. The QCCO achieves a phase noise, power and area efficiency figure-of-merit of -191 dBc/Hz.
Distributed 3-D localization in camera networks

Consider a problem in which N cameras in a camera sensor network must estimate their pose in a distributed fashion exclusively from image measurements. Using standard computer vision techniques, each camera can extract feature points from the images, match these points across a few neighboring cameras, and estimate the relative rotation and translation (up to a scale factor) of the neighboring cameras. In this paper, we propose distributed consensus algorithms in SE(3) for estimating a globally consistent pose for all N cameras. Traditional consensus algorithms have been developed under the assumptions that the measurements are Euclidean and low-dimensional, and consensus is performed directly on the measurements. In our problem, the measurements (images) are high-dimensional and consensus must be performed on a quantities (camera poses) that are non-Euclidean are different from the measurements. This poses several challenges to traditional consensus for computer vision applications, which we address in this paper. While our methods are designed specifically with the camera sensor network application in mind, our results are applicable also to localization problems in a more general setting. We provide synthetic simulations to test the validity of our approach.
Mirror: Multimedia query processing in extensible databases

The mi Ror project investigates the implications of multimedia information retrieval on database design. We assume a modern extensible database system with extensions for feature based search techniques. The multimedia query processor has to bridge the gap between the user’s high level information need and the search techniques available in the database. We therefore propose an iterative query process using relevance feedback. The query processor identifies which of the available representations are most promising for answering the query. In addition, it combines evidence from different sources. Our multimedia retrieval model is a generalization of a well-known text retrieval model. We discuss our prototype implementation of this model, based on Bayesian reasoning over a concept space of automatically generated clusters. The experimentation platform uses structural object-orientation to model the data and its meta-data flexibly, without compromising efficiency and scalability. We illustrate our approach with some first experiments with text and music retrieval.
A low-latency, high-throughput on-chip optical router architecture for future chip multiprocessors

Tens and eventually hundreds of processing cores are projected to be integrated onto future microprocessors, making the global interconnect a key component to achieving scalable chip performance within a given power envelope. While CMOS-compatible nanophotonics has emerged as a leading candidate for replacing global wires beyond the 16nm timeframe, on-chip optical interconnect architectures are typically limited in scalability or are dependent on comparatively slow electrical control networks. In this article, we present a hybrid electrical/optical router for future large scale, cache coherent multicore microprocessors. The heart of the router is a low-latency optical crossbar that uses predecoded source routing and switch state preconfiguration to transmit cache-line-sized packets several hops in a single clock cycle under contentionless conditions. Overall, our optical router achieves 2X better network performance than a state-of-the-art electrical baseline in a mesh topology while consuming 30% less network power.
Development of an Instrument to Measure Students' Attitudes towards Piano Practice.

Practicing the piano is a systematic part of the instrument-learning process. It contains all development practices from the analysis of the work to the improvement of performance. Students usually practice the piano as a preparation for performing in courses, exams, or on stage and they do it individually. The mentality which emerges during the piano practicing process can be a significant determinant on the result (performance). In this study, it is aimed to improve student mentality regarding piano practice. A draft scale which was made after the literature scanning was applied to 227 students by rearranging as a five point likert scale. As a result of the exploratory factor analysis, it was determined that the scale had a structure with three factors. To evaluate the validity and reliability of the survey after the data collection, calculations of Cronbach’s Alpha and factor analysis measurements were made. KMO (Kaiser-Meyer-Olkin) and Barlett’s tests were made to examine sample sufficiency and factorability levels of the used scale. KMO value was determined to be . 837. Cronbach’s alpha internal reliability coefficient for the whole scale was found as . 956. The data which has been obtained after the study shows that the survey is valid and reliable. calculated by
SEMCOG: an integration of SEMantics and COGnition-based approaches for image retrieval

Image retrieval is a key issue for many image database applications. Existing approaches include browsing and keyword, semantics, and cognition-based query processing. We argue that image retrieval using either approach alone is not effective. We introduce a system, SEMCOG (SEMantics and COGnition-based image retrieval), that allows users to pose a query using both semantics expressions and image examples. In our system, a query, such as "Retrieve all images in which there is a man on the right of a building and the building looks like this sketch", can be posed. This paper presents the architecture of SEMCOG, CSQL (Cognition and Semantics-based Query Language), the query language used in SEMCOG, and query user interfaces. Example queries are used to illustrate the image retrieval process in SEMCOG.
A Preliminary Revision of Luthans Psychological Capital Questionnaire

Objective:To carry out a preliminary revision of luthans psychological capital questionnaire's items and the structure.Methods:The questionnaire was administrated to 908 Chinese employees and a research was made for ap-plicability.Results:The whole scale and four dimension coefficients were from 0.7031-0.8125. The test-retest reliability was from 0.6982-0.7453. Exploratory factor analysis of survey results showed that self-confidence,hope,resilience,opti-mism of four-dimensional structure of the project load in their dimensions ranged from 0.604 to 0.879;the total variance explained amounted to 65.484 percent.The results of CFA showed that the measurement model fit the data well.The reli-ability and validity of the revised psychological capital questionnaire met the needs of psychometrics well.Conclusion:The questionnaire could be used in the related research and practice.
Exploring the History of Golf Course Design

EXPLORING THE HISTORY OF GOLF COURSE DESIGN Keith Cutten University of Guelph, 2016 Advisor: Prof. Robert Brown Golf’s future is in question. Fewer people are participating, environmental restrictions are altering construction and maintenance practices, and improved equipment technologies have necessitated longer golf holes increasing management and playing costs. There is a lack of research examining the influence that golf course architecture has had on the evolution, and current state, of the game of golf. This study explored connections between the evolution of golf architecture and external influences such as technology, media, social trends, the economy and allied professional fields. A decadeby-decade breakdown revealed 10 eras and 8 schools of design. This process led to the recognition of two high points in the evolution of golf course architecture, one pre-WWII and one on-going since 1995. Questionnaires were sent to 35 leading designers, from which aggregate findings were compared to writings of 35 pre-WWII designers. Themes were distilled which suggested a correlation between both high points of design practice.