Miracle-dz/UniFAR-FTUs huggingface dataset:
α 1 and β 1 integrins enhance the homing and differentiation of cultured prostate cancer stem cells

CD133 prostate cancer stem cells (PCSCs) have recently been identified in human prostate cancer tissues. The present study reports the integrin profile of prostate cancer progenitor cells and the role of α1 and β1 integrins in the homing and differentiation of PCSCs in vitro. PCSCs were isolated from the tissue specimens of patients with prostate cancer and the expression of surface integrins and adhesion patterns were determined. Our analysis of the expression of surface integrins and their adhesion patterns of prostate cancer stem cells derived from prostate cancer tissues revealed that the levels of β1 and α2β1 integrins were significantly higher (P < 0.05) than those of the other integrins. By contrast, peripheral blood-derived CD133 cells from prostate cancer patients showed a high level of expression (P < 0.01) of α2β1, αvβ3, αvβ5, β1 and α1 integrins and a minimal expression of α4β1 integrins. Moreover, CD133 cells derived from both prostate cancer tissues and peripheral blood exhibited an increased degree of attachment to extracellular matrix proteins (P < 0.001) and a high expression level of α2β1 integrin. In vitro experiments using blocking antibodies indicated that α1 and β1 integrins have a role in the homing and differentiation of PCSCs. This is the first report to suggest the importance of integrins in mediating the homing and differentiation of PCSCs. Asian Journal of Andrology (2010) 12: 548–555. doi: 10.1038/aja.2010. 20; published online 7 June 2010.
Hierarchical context-aware hand detection algorithm for naturalistic driving

Hand activity is a critical monitoring component in understanding a driver's behavior within the car. Current vision-based hand detection algorithms perform poorly in naturalistic settings, due to various challenges such as global illumination changes and constant hand deformation and occlusion. To achieve a more accurate and robust hand detection system, this paper presents a hierarchical context-aware hand detection algorithm, which explicitly explores context cues in the vehicle such as prevalent hand shapes and locations, preferred driving habit and coupling effect between multiple hands. The proposed context-aware hand detection algorithm significantly outperforms the state-of-the-art on the VIVA hand dataset.
Australia's Dengue Risk Driven by Human Adaptation to Climate Change

BACKGROUND The reduced rainfall in southeast Australia has placed this region's urban and rural communities on escalating water restrictions, with anthropogenic climate change forecasts suggesting that this drying trend will continue. To mitigate the stress this may place on domestic water supply, governments have encouraged the installation of large domestic water tanks in towns and cities throughout this region. These prospective stable mosquito larval sites create the possibility of the reintroduction of Ae. aegypti from Queensland, where it remains endemic, back into New South Wales and other populated centres in Australia, along with the associated emerging and re-emerging dengue risk if the virus was to be introduced. METHODOLOGY/PRINCIPAL FINDINGS Having collated the known distribution of Ae. aegypti in Australia, we built distributional models using a genetic algorithm to project Ae. aegypti's distribution under today's climate and under climate change scenarios for 2030 and 2050 and compared the outputs to published theoretical temperature limits. Incongruence identified between the models and theoretical temperature limits highlighted the difficulty of using point occurrence data to study a species whose distribution is mediated more by human activity than by climate. Synthesis of this data with dengue transmission climate limits in Australia derived from historical dengue epidemics suggested that a proliferation of domestic water storage tanks in Australia could result in another range expansion of Ae. aegypti which would present a risk of dengue transmission in most major cities during their warm summer months. CONCLUSIONS/SIGNIFICANCE In the debate of the role climate change will play in the future range of dengue in Australia, we conclude that the increased risk of an Ae. aegypti range expansion in Australia would be due not directly to climate change but rather to human adaptation to the current and forecasted regional drying through the installation of large domestic water storing containers. The expansion of this efficient dengue vector presents both an emerging and re-emerging disease risk to Australia. Therefore, if the installation and maintenance of domestic water storage tanks is not tightly controlled, Ae. aegypti could expand its range again and cohabit with the majority of Australia's population, presenting a high potential dengue transmission risk during our warm summers.
On large angle multiple gluon radiation

Jet shape observables which involve measurements restricted to a part of phase space are sensitive to multiplication of soft gluon with large relative angles and give rise to specific single logarithmically enhanced (SL) terms (non-global logs). We consider associated distributions in two variables which combine measurement of a jet shape V in the whole phase space (global) and that of the transverse energy flow away from the jet direction, Eout (non-global). We show that associated distributions factorize into the global distribution in V and a factor that takes into account SL contributions from multi-gluon ``hedgehog'' configurations in all orders. The latter is the same that describes the single-variable Eout distribution, but evaluated at a rescaled energy VQ.
Adaptive Lighting for Machine Vision Applications

Illumination in the context of machine vision is critical and its design has been manual in nature. The advent of small projectors at lower costs has created a wide range of possibilities presenting an opportunity to leverage in pursuit of automating the lighting. We propose the use of a projector and a camera in order to provide high contrast image where the projector has a role in highlighting dull parts of the scene and reducing light on shiny areas that tend to saturate the camera. The problem is ill-posed and hence we seek a semi-automated solution. This approach is opposite in direction to existing studies on projector camera systems which tend to superimpose a secondary image on a surface and correct for optimal viewing of the former. The configuration aims to enhance the capabilities of a smart camera to reduce manual lighting design and present a more unified system than existing smart cameras in the field.
Real-time dynamic hand gesture recognition using hidden Markov models

The goal of interaction between human and computer is to find a way to treat it like human-human interaction. Gestures play an important role in human's daily life in order to transfer data and human emotions. The gestures are results of part of body movement in which hand movement is the most widely used one that is known as dynamic hand gesture. So it is very important to follow and recognize hand motion to provide multi-purpose use. In this paper, we propose a system that recognizes hand gestures from continuous hand motion for English numbers from 0 to 9 in real-time, based on Hidden Markov Models (HMMs). There are two kinds of gestures, key gestures and link gestures. The link gestures are used to separate the key gestures from other hand motion trajectories (gesture path) that are called spotting. This type of spotting is a heuristic-based method that identifies start and end points of the key gestures. Then gesture path between these two points are given to HMMs for classification. Experimental results show that the proposed system can successfully recognize the key gestures with recognition rate of 93.84%and work in complex situations very well.
3-level secure Kerberos authentication for Smart Home Systems using IoT

Uses of Internet-of-Things have been increased almost in all domains. Smart Home System can be made using Internet-of-Things. This paper presents the design and an effective implementation of smart home system using Internet of things. The designed system is very effective and ecofriendly having the advantage of low cost. This system ease out the home automation task and user can easily monitor control home appliances from anywhere and anytime using internet. Embedded system, GPRS module and RF modules are used for making this system. Security has been increased in this system on the server side by using 3 level Kerberos authentication. Hence, the system is now more secure to use than the current smart homes systems. Design of hardware and software is also presented in paper.
Development of the Dimensional Inventory of Child Development Assessment (IDADI)

Abstract Child development is complex and includes multiple domains, such as cognition, communication and language, motor skills, socialization, and emotional development. The objective of this paper was to present the development process of the Dimensional Inventory of Child Development Assessment (IDADI) and evidence of its content validity. IDADI was conceived to assess child development of children from zero to 72 months of age through parental reports covering Cognitive, Motor (Gross and Fine), Communication and Language (Receptive and Expressive), Socioemotional and Adaptive Behavior domains. The development process involved: description of the theoretical foundation; development of the preliminary version of the instrument; expert item analysis; semantic analysis of the items by the target population; and a pilot study. The initial item pool had 2,365 items and the final version consisted of 524, after exclusions, modifications and additions. The stages of development led to changes in most of the items. This process is considered to have ensured IDADI’s content validity. Thus, it is believed that IDADI will contribute to child development assessment in Brazil in clinical and research contexts.
Binding the Daemon : FreeBSD Kernel Stack and Heap Exploitation

FreeBSD is widely accepted as one of the most reliable and performance-driven operating systems currently available in both the open source and proprietary worlds. While the exploitation of kernel vulnerabilities has been researched in the context of the Windows and Linux operating systems, FreeBSD, and BSD-based systems in general, have not received the same attention. This paper will initially examine the exploitation of kernel stack overflow vulnerabilities on FreeBSD. The development process of a privilege escalation kernel stack smashing exploit will be documented for vulnerability CVE-2008-3531. The second part of the paper will present a detailed security analysis of the Universal Memory Allocator (UMA), the FreeBSD kernel's memory allocator. We will examine how UMA overflows can lead to arbitrary code execution in the context of the latest stable FreeBSD kernel (8.0-RELEASE), and we will develop an exploitation methodology for privilege escalation and kernel continuation.
Best-Estimates in Bond Markets with Reinvestment Risk

The concept of best-estimate, prescribed by regulators to value insurance liabilities for accounting and solvency purposes, has recently been discussed extensively in the industry and related academic literature. To differentiate hedgeable and non-hedgeable risks in a general case, recent literature defines best-estimates using orthogonal projections of a claim on the space of replicable payoffs. In this paper, we apply this concept of best-estimate to long-maturity claims in a market with reinvestment risk, since in this case the total liability cannot easily be separated into hedgeable and non-hedgeable parts. We assume that a limited number of short-maturity bonds are traded, and derive the best-estimate price of bonds with longer maturities, thus obtaining a best-estimate yield curve. We therefore use the multifactor Vasiˇcek model and derive within this framework closed-form expressions for the best-estimate prices of long-term bonds.
Assistive system research for creative life management on robotics and home economics

Development of a household assistant robot has been advanced in tasks which researchers in robotics had imagined useful. This is just engineering approach for a household assistant robot. It is necessary to examine the psychological aspects of consumers, safety, effectiveness in order to a robot come into use in the household environment. Effectiveness and structure of household assistant tasks with a robot have to be evaluated from other point of view. Home economics is a field of study suitable for evaluating assistant tasks in the household environment. How household assistant robots improve individual life and what kind of household task is effective for the actual household environment should be verified from the point of view of home economics. Collaboration robotics and home economics researchers will not only improve both fields but make a impact to the real world for providing social assistant robot to the home. It can improve and management individual life.
Evolution of the Socio-cognitive Structure of Knowledge Management (1986–2015): An Author Co-citation Analysis

Abstract Purpose The evolution of the socio-cognitive structure of the field of knowledge management (KM) during the period 1986–2015 is described. Design/methodology/approach Records retrieved from Web of Science were submitted to author co-citation analysis (ACA) following a longitudinal perspective as of the following time slices: 1986–1996, 1997–2006, and 2007–2015. The top 10% of most cited first authors by sub-periods were mapped in bibliometric networks in order to interpret the communities formed and their relationships. Findings KM is a homogeneous field as indicated by networks results. Nine classical authors are identified since they are highly co-cited in each sub-period, highlighting Ikujiro Nonaka as the most influential authors in the field. The most significant communities in KM are devoted to strategic management, KM foundations, organisational learning and behaviour, and organisational theories. Major trends in the evolution of the intellectual structure of KM evidence a technological influence in 1986–1996, a strategic influence in 1997–2006, and finally a sociological influence in 2007–2015. Research limitations Describing a field from a single database can offer biases in terms of output coverage. Likewise, the conference proceedings and books were not used and the analysis was only based on first authors. However, the results obtained can be very useful to understand the evolution of KM research. Practical implications These results might be useful for managers and academicians to understand the evolution of KM field and to (re)define research activities and organisational projects. Originality/value The novelty of this paper lies in considering ACA as a bibliometric technique to study KM research. In addition, our investigation has a wider time coverage than earlier articles.
Finding Viable Seed URLs for Web Corpora: A Scouting Approach and Comparative Study of Available Sources

The conventional tools of the "web as corpus" framework rely heavily on URLs obtained from search engines. Recently, the corresponding querying process became much slower or impossible to perform on a low budget. I try to find acceptable substitutes, i.e. viable link sources for web corpus construction. To this end, I perform a study of possible alternatives, including social networks as well as the Open Directory Project and Wikipedia. Four different languages (Dutch, French, Indonesian and Swedish) taken as examples show that complementary approaches are needed. My scouting approach using open-source software leads to a URL directory enriched with metadata which may be used to start a web crawl. This is more than a drop-in replacement for existing tools since said metadata enables researchers to filter and select URLs that fit particular needs, as they are classified according to their language, their length and a few other indicators such as host- and markup-based data.
Heritability of personality: A meta-analysis of behavior genetic studies.

The aim of this meta-analysis was to systematize available findings in the field of personality heritability and test for possible moderator effects of study design, type of personality model, and gender on heritability estimates. Study eligibility criteria were: personality model, behavior genetic study design, self-reported data, essential statistical indicators, and independent samples. A total of 134 primary studies with 190 potentially independent effect sizes were identified. After exclusion of studies that did not meet inclusion criteria and/or met 1 of the exclusion criteria, the final sample included 62 independent effect sizes, representing more than 100,000 participants of both genders and all ages. Data analyses were performed using the random-effects model, software program R package metafor. The average effect size was . 40, indicating that 40% of individual differences in personality were due to genetic, while 60% are due to environmental influences. After correction for possible publication bias the conclusion was unaltered. Additional analyses showed that personality model and gender were not significant moderators of personality heritability estimate, while study design was a significant moderator with twin studies showing higher estimates, . 47, compared to family and adoption studies, . 22. Personality model also was not a significant moderator of heritability estimates for neuroticism or extraversion, 2 personality traits contained in most personality trait theories and/or models. This study is the first to empirically test and confirm moderator effect of study design on heritability estimates in the field of personality. Limitations of the study, as well as suggestion for future studies, are discussed. (PsycINFO Database Record
Face Detection Based on Fractal and Complexion Model in the Complex Background

In this paper, a new face detection algorithm based on fractal theory and complexion model is proposed. On the basis of the traditional face detection, the new algorithm estimated the fractal dimension of face area to exclude the non-face area and extract the face area fast and accurately. Furthermore, its calculation is simple and it can realize multi-angle detection in the complex background. As well as the new algorithm can overcome the shortcomings of high misdetection and low capability in adapting to changes of traditional way. Simulations are carried out with detailed analyses, which demonstrating the superior accuracy and high efficiency of our algorithm.
The urinary aromatic acids excreted by sheep given S24 perennial ryegrass cut at six stages of maturity

1. S 24 perennial ryegrass was harvested at six stages of its growth from young leafy herbage to mature grass in which the seed had shed. 2. Two sheep were offered 1kg/d of each cut and two other sheep were offered 750 g/d of each cut of grass. 3. The contents of some possible precursors of the urinary aromatic acids excreted by sheep, namely, shikimic acid, quinic acid, chlorogenic acid, total o-dihydroxyphenolic compounds, lignin and crude protein were determined in each cut of grass. 4. A gas-liquid chromatographic method for the determination of the aromatic acids present in light petroleum extracts of urine was developed. 5. The urinary excretion of creatinine, diethyl ether-soluble acids, hippuric acid, total benzoic, phenylacetic and phenylpropionic acids, and the apparent digestibilities of nitrogen, lignin and dry matter were determined with each sheep offered each cut of grass. 6. The quantity of the various aromatic acid fractions excreted by sheep decreased as the maturity of the herbage increased and was directly proportional to the amount of food consumed. 7. No relationship was found between the intake of possible benzoic acid precursors and the urinary excretion of benzoic acid. With diets of young herbage, smaller amounts of benzoic acid were excreted in the urine than would be predicted from the intakes of the precursors studied, and with mature herbage greater amounts were excreted than would be predicted. 8. Possible reasons for these results are discussed, and the nature of additional precursors of urinary aromatic acids excreted by sheep given mature herbages are considered. 9. Urinary excretion of phenylacetic acid varied with diet in a manner which closely followed the intake of apparently digestible nitrogen. A highly significant (P < 0.001) exponential relationship was found between these two variables; it was log10 E = 0.05 N –0.63, where E is the urinary phenylacetic acid output (g/kg food) and N the intake of apparently digestible nitrogen (g/kg food).
O ct 2 00 6 Can the Pioneer anomaly be of gravita-tional origin ?

In order to satisfy the equivalence principle, any mechanism proposed to gravitationally explain the Pioneer anomaly, in the form in which it is presently known from the so-far analyzed Pioneer 10/11 data, cannot leave out of consideration its impact on the motion of the planets of the Solar System as well. In this paper we, first, use the lat-est observational determinations of the secular perihelion advances of some planets in order to put on the test two interesting models of modified gravity recently proposed to accommodate the Pioneer anomaly. Second, we use to radio-technical ranging data to Voyager 2 when it encountered Uranus and Neptune to perform a further, independent test of the hypothesis that a Pioneer-like acceleration can also affect the motion of the planets, at least in the regions in which the Pioneer anomaly manifested itself according to our present-day knowledge of it. As in the case of previous tests based on the use of the planetary right ascension and declination, the answer is negative.
Generalized Chebyshev Bandpass Filters With Frequency-Dependent Couplings Based on Stubs

This paper presents an accurate synthesis method for inline and cross-coupled generalized Chebyshev bandpass filters with frequency-dependent couplings implemented via open and short stubs. The technique involves the synthesis of a lumped-element prototype in the form of a coupling matrix with a frequency-dependent term and the conversion of this prototype to a distributed-element model composed of sections of TEM lines. This takes into account the impedance (or admittance) of the stubs, thus allowing compensation for the loading effect. The design equations are derived for the stub impedance in terms of a coupling coefficient and for the allowable frequency range in which the model is valid. Additionally, the proposed methodology allows the simultaneous application of frequency-dependent couplings with positive and negative dispersive parts within the same network. The validity of this method is confirmed by numerical tests and through experiments, including filters with dispersive couplings of the opposite signs.
Deriving a digraph isomorphism for digraph compliance measurement

Many problems in the world exists where it is necessary to compare a given implementation with a specification and provide some quantification as to whether the implementation complies with the specification. An example of such a problem is determining whether a given curriculum complies with a specification as stipulated by a professional body such as the ACM/IEEE curriculum for Computing. In order to provide a mechanism for quantification, an algorithm is proposed that builds a new model. The new model is built in terms of the specification by making use of the contents of the implementation thereby ensuring that there is no loss of implementation data. Quantification with regards to the compliance of the implementation to the specification is provided by the proposed compliance measure. The measure comprises a suite of metrics with which the specification, implementation and the new model may be compared, resulting in a management tool for model improvement. A size-based metric of the compliance measure is proposed.