Miracle-dz/UniFAR-FTUs huggingface dataset:
Millimetre-Wave PLL Synthesizer

Multiple 60-GHz WPAN (Wireless Personal Area Network) radio transceiver chips using CMOS or BiCMOS process have been developed as wireless communication service of several-gigabit rate [Reynolds, 2006] [Razavi, 2006]. In a 60GHz millimetre-wave transceiver, frequency synthesizer is a key building block. It is very difficult to design the PLL-based programmable synthesizer directly at 60GHz band without tripler or doubler. A 14.25-16GHz programmable PLL synthesizer was presented as a frequency source for 60GHz directconversion receiver. Its output frequencies of 28.5-32GHz are generated using Wilkinson power combiner [Lee, 2008]. A 16-18.8GHz programmable PLL was developed as a local oscillator for 60GHz dual-conversion super-heterodyne transceiver [Floyd, 2008]. Its tripled output frequency becomes 46 to 54GHz. Also, various non-programmable PLLs have been developed as millimetre-wave frequency sources, but they are not suitable for 60GHz WPAN radio covering 57 to 64GHz range [Winkler, 2005] [Lee, 2007]. In this chapter, we present a 52-GHz PLL-based synthesizer for 60GHz dual-conversion super-heterodyne receiver. The synthesizer is composed of 26GHz programmable PLL and 52GHz frequency doubler. The 26GHz PLL consists of PFD, charge pump, loop filter, LC VCO, and four-modulus divider. The synthesizer shows a 50-53GHz locking range, and generates two channels of 50.304GHz and 52.4GHz when 262MHz reference is used. The PLL achieves phase noises of – 89dBc/Hz from 26.2GHz and – 81dBc/Hz from 52.4GHz, at 1MHz offset frequency, respectively. The synthesizer represents spurious noise level of – 42dBc/Hz, and consumes 160mA at 2.5V. In section 2 of this chapter, a 60GHz dual-conversion super-heterodyne receiver is briefly introduced. In section 3, the 52GHz PLL synthesizer including frequency doubler is described in detail. The experimental results are presented in section 4, and finally, conclusion is drawn in section 5.
Resistance to insulin therapy among patients and providers: results of the cross-national Diabetes Attitudes, Wishes, and Needs (DAWN) study.

OBJECTIVE To examine the correlates of patient and provider attitudes toward insulin therapy. RESEARCH DESIGN AND METHODS Data are from surveys of patients with type 2 diabetes not taking insulin (n = 2,061) and diabetes care providers (nurses = 1,109; physicians = 2,681) in 13 countries in Asia, Australia, Europe, and North America. Multiple regression analysis is used to identify correlates of attitudes toward insulin therapy among patients, physicians, and nurses. RESULTS Patient and provider attitudes differ significantly across countries, controlling for individual characteristics. Patients rate the clinical efficacy of insulin as low and would blame themselves if they had to start insulin therapy. Self-blame is significantly lower among those who have better diet and exercise adherence and less diabetes-related distress. Patients who are not managing their diabetes well (poor perceived control, more complications, and diabetes-related distress) are significantly more likely to see insulin therapy as potentially beneficial. Most nurses and general practitioners (50-55%) delay insulin therapy until absolutely necessary, but specialists and opinion leaders are less likely to do so. Delay of insulin therapy is significantly less likely when physicians and nurses see their patients as more adherent to medication or appointment regimens, view insulin as more efficacious, and when they are less likely to delay oral diabetes medications. CONCLUSIONS Patient and provider resistance to insulin therapy is substantial, and for providers it is part of a larger pattern of reluctance to prescribe blood glucose-lowering medication. Interventions to facilitate timely initiation of insulin therapy will need to address factors associated with this resistance.
Explanations of socioeconomic differences in excess risk of type 2 diabetes in Swedish men and women.

OBJECTIVE We investigated to what extent socioeconomic differences in type 2 diabetes risk could be explained by established risk factors (obesity, physical inactivity, smoking, and heredity) and psychosocial factors (low decision latitude at work and low sense of coherence). RESEARCH DESIGN AND METHODS This cross-sectional study comprised 3,128 healthy Swedish men and 4,821 women, aged 35-56 years, living in the Stockholm area. An oral glucose tolerance test identified 55 men and 52 women with type 2 diabetes. The relative contribution of established and psychosocial factors to socioeconomic differences in diabetes risk was assessed by comparing analyses with adjustment for different sets of these factors. RESULTS The relative risks (RRs) for type 2 diabetes in middle and low socioeconomic groups in men were 2.4 (95% CI 1.0-5.3) and 2.9 (1.5-5.7), respectively, and in women 3.2 (1.5-6.6) and 2.7 (1.3-5.9), respectively. In men, the RRs decreased to 1.9 (0.8-4.4) and 2.1 (1.0-4.2) after adjustment for established risk factors; no further change was found when psychosocial factors were included. In women, the RRs changed to 2.4 (1.1-5.2) and 1.6 (0.7-3.8) by including established risk factors and to 2.3 (1.0-5.1) and 1.9 (0.8-4.3) by inclusion of psychosocial factors. After adjustment for both established and psychosocial factors, the RRs were 1.4 (0.6-3.6) and 1.0 (0.4-2.5), respectively. CONCLUSIONS In men, the excess risk of type 2 diabetes was partly explained by established risk factors (36-42%), whereas psychosocial factors had no effect. In women, most of the socioeconomic differences in type 2 diabetes were explained by simultaneous adjustment for established risk factors and psychosocial factors (81-100%).
Efficient Search in Big Data using Refinder ( A Context-Based Information Refinding System )

Inthis paper, we present a context-based information refinding system called ReFinder. It leverages human’s natural recall characteristics and allows users to refind files and Web pages according to the previous access context. ReFinderrefinds information based on a query-by-context model over a context memory snapshot, linking to the accessed information contents. Context instances in the memory snapshot are organized in a clustered and associated manner, and dynamically evolve in life cycles to mimic brain memory’s decay and reinforcement phenomena. We evaluate the scalability of ReFinder on a large synthetic data set. The experimental results show that consistent degradation of context instances in the context memory and the ones in user’s refinding requests can lead to the best refinding precision and recall. An 8-week user study is also conducted to examine the applicability of ReFinder. Initial findings show that time, place, and activity could serve as useful recall clues. On average, 15.53 seconds are needed to complete a refinding request with ReFinder and 84.42 seconds with other existing methods. Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast developmentof networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineeringdomains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the featuresof the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven modelinvolves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacyconsiderations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution. Some further possible improvement of ReFinder is also discussed at the end of the paper.
Landowers' Participation Behavior on the Payment for Environmental Service (PES): Evidences from Taiwan

To respond to the Kyoto Protocol, the policy of Payment for Environmental Service (PES), which was entitled “Plain Landscape Afforestation Program (PLAP)”, was certified by Executive Yuan in Taiwan on 31 August 2001 and has been implementing for six years since 1 January 2002. Although the PLAP has received a lot of positive comments, there are still many difficulties during the process of implementation, such as insufficient technology for afforestation, private landowners’ low interests in participating in PLAP, insufficient subsidies, and so on, which are potential threats that hinder the PLAP from moving forward in future. In this paper, selecting Ping-Tung County in Taiwan as a sample region and targeting those private landowners with and without intention to participate in the PLAP, respectively, we conduct an empirical analysis based on the Logit model to investigate the factors that determine whether those private landowners join the PLAP, so as to realize the incentive effects of the PLAP upon the personal decision on afforestation. The possible factors that might determine private landowner’s participation in the PLAP include landowner’s characteristics, cropland characteristics, as well as policy factors. Among them, the policy factors include afforestation subsidy amount (+), duration of afforestation subsidy (+), the rules on adjoining and adjacent areas (+), and so on, which do not reach the remarkable level in statistics though, but the directions of variable signs are consistent with the intuition behind the policy. As for the landowners’ characteristics, each of age (+), education level (–), and annual household income (+) variables reaches 10% of the remarkable level in statistics; as for the cropland characteristics, each of cropland area (+), cropland price (–), and the number of cropland parcels (–) reaches 1% of the remarkable level in statistics. In light of the above, the cropland characteristics are the dominate factor that determines the probability of landowner’s participation in the PLAP. In the Logit model established by this paper, the probability of correctly estimating nonparticipants is 98%, the probability of correctly estimating the participants is 71.8%, and the probability for the overall estimation is 95%. In addition, Hosmer-Lemeshow test and omnibus test also revealed that the Logit model in this paper may provide fine goodness of fit and good predictive power in forecasting private landowners’ participation in this program. The empirical result of this paper expects to help the implementation of the afforestation programs in Taiwan. Keywords—Forestry Policy, Logit, Afforestation Subsidy, Afforestation Policy
X10-PM: Transparent and Efficient Place Migration for APGAS Language

This paper presents X10-PM, a framework that provides APGAS-based programs with place migration support for flexible and efficient resource management, such as server consolidation and coarse-grained load balancing. X10-PM makes the first attempt to add migration support at the granularity of a place to the X10 programs, which is transparent to the application developers with the help of the X10-PM compiler and runtime. The evaluation results show that the migration overhead is modest. This is mainly because X10-PM chooses global consistent points to ensure consistency of migration, by leveraging the key features of the APGAS model and the X10 language.
A Phylogenetic Tree Constructing Method Based on Ant Colony Partitioning

A new method for constructing phylogenetic trees from a given set of objects (proteins, species, etc.) is presented. The method bisects the set of gene sequences so that the sequences within one subset have most similarity, and the gene sequences between different subsets have most difference. Recursively repeating such bisecting until procedure until all the subsets contains only one gene sequence. With these subsets, a phylogenetic tree is progressively constructed where the leaves are the gene sequences. Each level of bisecting is based on an extension of ant colony optimization for traveling salesman problem. Experimental results show that our algorithm is easier to implement and more efficient. It can convergence faster and obtain higher quality results than other methods.
A Low Overhead Architecture for Infrastructure-based Wireless Mesh Networks

Infrastructure-based Wireless Mesh Networks are envisioned as a cheap, flexible and appropriate technology to expand the radio coverage of network service providers and to create community networks. In this paper we propose a low overhead architecture which offers Internet connectivity and efficient communications among the nodes inside the mesh. Our solution enhances the performance of the Dynamic MANET On-demand (DYMO) Routing protocol with the use of multipoint relays to minimize the protocol overhead. In addition, a novel approach which takes advantage of the fixed network for communications inside the mesh is presented. The performance of the overall architecture is analyzed by means of simulation.
2-Aminoethoxydiphenylborane Is an Acute Inhibitor of Directly Photosensitive Retinal Ganglion Cell Activity In Vitro and In Vivo

The mammalian retina contains directly photosensitive retinal ganglion cells (RGCs), which use the photopigment melanopsin. The generation of mice lacking melanopsin has been invaluable in elucidating the function of these cells. These animals display deficiencies in circadian photoentrainment, the pupil light reflex, and the circadian regulation of the cone pathway. Interpreting the results from such gene knock-out models is always complicated by neuronal plasticity and the potential for restructuring of neuronal networks. Until now, the study of photosensitive RGCs has lacked an acute inhibitor. 2-Aminoethoxydiphenylborane (2-APB) is an antagonist at IP3 receptors and an inhibitor of canonical transient receptor potential ion channels (TRPCs). Here, we show that 2-APB is an extremely potent in vitro inhibitor of the photosensitive RGCs and that its effect is independent of store-dependent Ca2+ release. The identification of canonical TRPC6 and TRPC7 ion channels in melanopsin-expressing ganglion cells suggests that 2-APB may act directly on a TRPC ion channel. Importantly, using the pupil light reflex as a functional assay, we show that 2-APB inhibits photosensitive RGC activity in vivo. Collectively, our data further elucidate the phototransduction pathway in the photosensitive RGCs and demonstrate that 2-APB can be used to silence activity in these cells both in vitro and in vivo.
Shaping the Dynamics of a Bidirectional Neural Interface

Progress in decoding neural signals has enabled the development of interfaces that translate cortical brain activities into commands for operating robotic arms and other devices. The electrical stimulation of sensory areas provides a means to create artificial sensory information about the state of a device. Taken together, neural activity recording and microstimulation techniques allow us to embed a portion of the central nervous system within a closed-loop system, whose behavior emerges from the combined dynamical properties of its neural and artificial components. In this study we asked if it is possible to concurrently regulate this bidirectional brain-machine interaction so as to shape a desired dynamical behavior of the combined system. To this end, we followed a well-known biological pathway. In vertebrates, the communications between brain and limb mechanics are mediated by the spinal cord, which combines brain instructions with sensory information and organizes coordinated patterns of muscle forces driving the limbs along dynamically stable trajectories. We report the creation and testing of the first neural interface that emulates this sensory-motor interaction. The interface organizes a bidirectional communication between sensory and motor areas of the brain of anaesthetized rats and an external dynamical object with programmable properties. The system includes (a) a motor interface decoding signals from a motor cortical area, and (b) a sensory interface encoding the state of the external object into electrical stimuli to a somatosensory area. The interactions between brain activities and the state of the external object generate a family of trajectories converging upon a selected equilibrium point from arbitrary starting locations. Thus, the bidirectional interface establishes the possibility to specify not only a particular movement trajectory but an entire family of motions, which includes the prescribed reactions to unexpected perturbations.
Superconvergent discontinuous Galerkin methods for nonlinear elliptic equations

Based on the analysis of Cockburn et. al. (Math. Comp. 78 (2009), pp. 1-24) for a selfadjoint linear elliptic equation, we rst discuss su- perconvergence results for nonselfadjoint linear elliptic problems using discon- tinuous Galerkin methods. Further, we have extended our analysis to derive superconvergence results for quasilinear elliptic problems. When piecewise polynomials of degree k 1 are used to approximate both the potential as well as the ux, it is shown, in this article, that the error estimate for the discrete ux in L 2 -norm is of order k + 1: Further, based on solving a discrete linear elliptic problem at each element, a suitable postprocessing of the discrete potential is developed and then, it is proved that the resulting post-processed potential converges with order of convergence k + 2 in L 2 -norm. These results conrm superconvergent results for linear elliptic problems.
2016 Third International Conference on Information Retrieval and Knowledge Management Graph-based Text Representation for Malay Translated Hadith Text

— Text representation plays an important role in text classification. Commonly, text representation uses the term frequency technique. Hadith texts consist of two parts; they are the chain of narrators and the content. The term frequency technique is usually used for the content text representation. This research explains the text representation for chain of narrators in hadith texts. The chain of narrators was depicted using graph technique as text representation. A total of 18 hadith texts were used in representing chain of narrators as text representation. The narrator's name and relationships between narrators extracted from hadith texts which produced 82 narrator names and 85 connections between narrators. The 82 names were used as nodes, while the 85 connections as the relationships. The text representation graph subsequently used in the hadith text classification research based on chain of narrators.
Lossless Message Compression Bachelor Thesis in

In this thesis we investigated whether using compression when sending inter-process communication (IPC) messages can be beneficial or not. A literature study on lossless compression resulted in a compilation of algorithms and techniques. Using this compilation, the algorithms LZO, LZFX, LZW, LZMA, bzip2 and LZ4 were selected to be integrated into LINX as an extra layer to support lossless message compression. The testing involved sending messages with real telecom data between two nodes on a dedicated network, with different network configurations and message sizes. To calculate the effective throughput for each algorithm, the round-trip time was measured. We concluded that the fastest algorithms, i.e. LZ4, LZO and LZFX, were most efficient in our tests.
Speaker identification using pykfec and AANN

This paper presents the parameterization of speech based on amplitude and frequency modulation (AM-FM) model and its application to speaker identification. Speech parameterization is based on three different bandwidths. The speaker identification is done using auto associative neural network. The AANN is trained with SOLO speaking style speech signal, and a network is created for each speaker. The testing material used is the noisy speech signal. Different noise samples are mixed with SOLO speaking style to create noisy speech samples. The experiment shows that the feature is robust with respect to noise.
FABilT – finding answers in a billion triples

This submission presents the application of two coupled systems to the Billion Triples Challenge. The first system (Watson) provides the infrastructure which allows the second one (PowerAqua) to pose natural language queries to the billion triple datasets. Watson is a gateway to the Semantic Web: it crawls and indexes semantic data online to provide a variety of access mechanisms for human users and applications.We show here how we indexed most of the datasets provided for the challenge, thus obtaining an infrastructure (comprising web services, API, web interface, etc.) which supports the exploration of these datasets and makes them available to any Watson-based application. PowerAqua is an open domain question answering system which allows users to pose natural language queries to large scale collections of heterogeneous semantic data. In this paper, we discuss the issues we faced in configuring PowerAqua and Watson for the challenge and report on our results. The system composed of Watson and PowerAqua, and applied to the Billion Triples Challenge, is called FABilT.
AIS Electronic

Jordan is adopting Enterprise Resource Planning (ERP) systems in both its public and private sectors. Jordan's emerging private sector has historically close ties to the public sector; though a global market orientation requires a shift in its organisational culture. ERPs however embed business processes which do not necessarily fit with traditional cultural practices, and implementation success is not assured. This study looks at the perceptions of both public and private sector ERP implementations in Jordan and assesses these on various measures of success. There were few differences between public and private sectors, but the benefits actually realized in Jordanian ERPs fell short of claims made for the technology in other cultures.
Understanding Human-Device Interaction patterns within the context of mobile nutrition

A number of apps currently exist to aid users in finding a better lifestyle or to control their food intake by having better nutritional advice at their fingertips. The mobile nutrition area is widely popular with thousands of people around the world accessing information related to nutrition and wellbeing. However, mobile nutrition apps still can offer more to their users by providing better overall Human Device Interaction (HDI). As nutrition apps are used daily, it is imperative to ensure that users can easily grasp their concept, thus allowing them to quickly understand and receive the information they require to achieve a better lifestyle. The problem lies with HDI elements associated with these apps. This research paper highlights the problems with HDI in mobile nutrition apps through an investigative survey. The questionnaire based quantitative survey was used to understand the patterns associated with mobile HDI in the nutrition landscape and how the user interacts with the mobile app throughout the nutrition tracking process. Respondents clearly showed that the following main problems: difficult to input information into the mobile app, too time consuming to complete, not motivated in any way and also a poor overall user interface. The survey results have enabled us to conclude a number of points that greatly impact the overall HDI of nutrition apps. This was of great importance as it laid the foundations to investigate and explore further opportunities in this area.
Tangent Bundles Dynamics and Its Consequences

We will consider here some dynamics of the tangent map, weaker than hyperbolicity, and we will discuss if these structures are rich enough to provide a good description of the dynamics from a topological and geometrical point of view. This results are useful in attempting to obtain global scenario in terms of generic phenomena relative both to the space of dynamics and to the space of trajectories. Moreover, we will relate these results with the study of systems that remain globally transitive under small perturbations.