Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance analysis of type II hybrid ARQ with low-density parity-check codes

In this paper we investigate the performance of incremental redundancy hybrid automatic repeat request (HARQ) schemes based on low-density parity-check (LDPC) codes. We highlight some important issues and tradeoffs that arise when designing HARQ protocols that make use of these powerful codes. Our analysis is carried out under the assumption of maximum-likelihood (ML) decoding and frequency flat block fading channel. ML decoding, although not practical, provides the LDPC code performance limit. The HARQ protocol is modeled with a semi-Markov process, where the states represent the redundancy transmissions. Different HARQ schemes and mother-code rates are compared and discussed.
How to Differentiate Sites of Gastrointestinal Bleeding in Patients with Hematochezia by Using Clinical Factors?

Hematochezia is one of common gastrointestinal complaint at the Emergency Department (ED). Causes may be due to upper (UGIB) or lower (LGIB) gastrointestinal tract bleeding. Here, clinical factors were studied to differentiate sites of bleeding in patients with hematochezia. All patients with an age of more than 18 years who were diagnosed with GIB at the ED, Ramathibodi Hospital, Thailand were enrolled. Patients who presented with hematochezia and received complete workups to identify causes of bleeding were studied and categorized as being in the UGIB or LGIB groups. There were 1,854 patients who presented with GIB at the ED. Of those, 76 patients presented with hematochezia; 30 patients were in the UGIB group, while 43 patients were in the LGIB group. Clinical variables between both groups were mostly comparable. Three clinical factors were significantly associated with UGIB causes in patients with hematochezia including systolic blood pressure, hematocrit level, and BUN/Cr ratio. The adjusted odds ratios for all three factors were 0.725 (per 5 mmHg increase), 0.751 (per 3% increase), and 1.11 (per unit increase). Physicians at the ED could use these clinical factors as a guide for further investigation in patients who presented with hematochezia.
Analysis of monotonicity properties of some rule interestingness measures

One of the crucial problems in the field of know- ledge discovery is development of good interestingness measures for evaluation of the discovered patterns. In this paper, we consider quantitative, objective interestingness measures for "if. , then. " association rules. We focus on three popular interestingness mea- sures, namely rule interest function of Piatetsky-Shapiro, gain mea- sure of Fukuda et al., and dependency factor used by Pawlak. We verify whether they satisfy the valuable property M of monotonic de- pendency on the number of objects satisfying or not the premise or the conclusion of a rule, and property of hypothesis symmetry (HS). Moreover, analytically and through experiments we show an inter- esting relationship between those measures and two other commonly used measures of rule support and anti-support.
Multicolor and directed edit distance

The editing of a combinatorial object is the alteration of some of its elements such that the resulting object satisfies a certain fixed property. The edit problem for graphs, when the edges are added or deleted, was first studied independently by the authors and K\'ezdy [J. Graph Theory (2008), 58(2), 123--138] and by Alon and Stav [Random Structures Algorithms (2008), 33(1), 87--104]. In this paper, a generalization of graph editing is considered for multicolorings of the complete graph as well as for directed graphs. Specifically, the number of edge-recolorings sufficient to be performed on any edge-colored complete graph to satisfy a given hereditary property is investigated. The theory for computing the edit distance is extended using random structures and so-called types or colored homomorphisms of graphs.
Finding a Seat at the Table: How Race Shapes Access to Social Capital

Leaders of multiracial churches serve an important role between religious institutions and their members. As a bridge between social networks, they develop connections that ease the flow of resources across a diverse array of groups. Therefore, it is imperative to understand if racial differences exist in how leaders access the social and material resources embedded in racially homogenous organizations, peer networks, and institutions. An in-depth analysis of 121 head clergy interviews from the Religious Leadership and Diversity Project (RLDP) reveals that access to social capital is constrained when white leaders hoard resources and assign symbolic value to positions held by leaders of color. Findings of this study suggest the need for further investigation of racial inequality reproduction via the mechanism of differences in social capital.
Stereo matching-based low-textured scene reconstruction for ALV navigation

Low-texture scene reconstruction using stereo matching for ALV navigation still remains challenging. In low-textured regions, local algorithms are guaranteed to fail and global algorithms are too time-consuming. Based on the Phong illumination model, a proposition that the low-textured region in an image is likely to correspond to a 3D plane is made in this paper. Then, local algorithms are used to matching the pixels in well-textured regions. On the contrary, a Bayesian model base matching method that combines a plane prior and pixel dissimilarity is designed for low-textured regions. Experimental results show that our algorithm gets good matching results in low-textured regions. It is effective both in urban environment and off-road enviroment with puddles, which proves the robustness of our algorithm. In addition, our algorithm can get real-time performance for a 320×240 image.
The partitioning of traffic signal control network avoiding congestion on boundary

Because of partitioning traffic signal control network, the roads on boundary are ignored, which leads to congestion on the boundary. To avoid the congestion, the partitioning principle considered avoiding congestion is developed in this paper. And the applicability of the partitioning requires the threshold of partitioning principle which is provided the computable formula based on traffic shock-wave theory and platoon dispersion theory in this paper. The coordination control with partitioning considered congestion factor and coordinability benefit reduces 42.0% to 80.7% traffic congestion compared with the isolated control in the simulation software Vissim.
Asymptotic behavior of nonlinear diffusions

We describe the asymptotic behavior as $t\to \infty$ of the solution of $u_t=\Delta_p u$ in $\R^N$, for $(2N+1)/(N+1)\le p < N$ and non-negative, integrable initial data. Optimal rates in $L^q$, $q=2-1/(p-1)$ for the convergence towards a self-similar profile corresponding to a solution with Dirac distribution initial data are found. They are connected with optimal constants for a Gagliardo-Nirenberg inequality.
Non-IIDness Learning in Behavioral and Social Data

Most of the classic theoretical systems and tools in statistics, data mining and machine learning are built on the fundamental assumption of IIDness, which assumes the independence and identical distribution of underlying objects, attributes and/or values. However, complex behavioral and social problems often exhibit strong couplings and heterogeneity between values, attributes and objects (i.e., non-IIDness). This fundamentally challenges the IIDness-based learning methodologies and techniques. This paper presents a high-level overview of the needs, challenges and opportunities of non-IIDness learning for handling complex behavioral and social problems. By reviewing the nature and issues of classic IIDness-based algorithms in frequent pattern mining, clustering and classification to complex behavioral and social applications, concepts, structures, frameworks and exemplartechniquesarediscussedfornon-IIDnesslearning.Casestudies,relatedworkandprospects of non-IIDness learning are presented. Non-IIDness learning is also a fundamental issue in big data analytics.
English digits speech recognition system based on Hidden Markov Models

This paper aims to design and implement English digits speech recognition system using Matlab (GUI). This work was based on the Hidden Markov Model (HMM), which provides a highly reliable way for recognizing speech. The system is able to recognize the speech waveform by translating the speech waveform into a set of feature vectors using Mel Frequency Cepstral Coefficients (MFCC) technique This paper focuses on all English digits from (Zero through Nine), which is based on isolated words structure. Two modules were developed, namely the isolated words speech recognition and the continuous speech recognition. Both modules were tested in both clean and noisy environments and showed a successful recognition rates. In clean environment and isolated words speech recognition module, the multi-speaker mode achieved 99.5% whereas the speaker-independent mode achieved 79.5%. In clean environment and continuous speech recognition module, the multi-speaker mode achieved 72.5% whereas the speaker-independent mode achieved 56.25%. However in noisy environment and isolated words speech recognition module, the multi-speaker mode achieved 88% whereas the speaker-independent mode achieved 67%. In noisy environment and continuous speech recognition module, the multi-speaker mode achieved 82.5% whereas the speaker-independent mode achieved 76.67%. These recognition rates are relatively successful if compared to similar systems.
Adding Traits to (Statically Typed) Languages

Traits offer a fine-grained mechanism for composing classes in object-oriented languages from reusable components, while avoiding the fragility problems introduced by multiple inheritance and mixins. Although traits were developed in the context of dynamically typed languages, they would also offer clear benefits for statically typed languages like Java and C#. This report summarizes the issues raised when integrating traits into such languages. We examine traits in the context of the statically typed languages FeatherweightJava, C# and C++.
SiGe V band wide tuning-range VCO and frequency divider for phase locked loop

A V-band wide tuning-range VCO and high frequency divide-by-8 frequency divider using Infineon 0.35 μm SiGe HBT process are presented in this paper. An LC impedance peaking technique is introduced in the Miller divider to increase the sensitivity and operation frequency range of the frequency divider. Two static frequency dividers implemented using current mode logic are used to realize dividing by 4 in the circuit. The wide tuning range VCO operates from 51.9 to 64.1 GHz i.e. 20.3% frequency tuning range. The measured phase noise at the frequency divider output stage is around -98.5 dBc at 1 MHz. The circuit consumes 200mW and operates from a 3.5Vdc supply, and occupies 0.6×0.8 mm2 die area.
The Effects of a Paraphrasing Intervention on Word Problem-Solving Accuracy of English Learners at Risk of Mathematic Disabilities

English learners (ELs) experience difficulty with mathematical problem solving because word problems require complex processes beyond basic math skills, such as the use of linguistic information, identifying relevant information, and constructing the appropriate problem statement. This study used a combined multiple baseline design and criterion changing design to assess the effectiveness of a paraphrasing intervention on the problem-solving performance for nine third-grade students who are ELs and at risk of mathematical disabilities (MD). Although the magnitude of the Tau-U effect sizes was in the small range, the visual analysis indicated that all students displayed increasing trends in problem-solving accuracy as a function of the paraphrasing intervention. The results were discussed in terms of providing continual support toward maintaining intervention outcomes.
Mobile-cloud driven conditional monitoring system: A practical perspective

Modern Industrial automation system are totally software driven. The software that drives the system generates significant amount of data. This data can be used for monitoring of the industrial plants critical parameters to take decisions on time-critical actions and visualization of the plant behavior. These actions could be controlled by the user or automated. The Advent of cloud and mobile computing technologies has brought about convenience of accessibility of data on the finger tips. The cloud on the other hand provides infrastructure and service to leverage these opportunities. A conditional monitoring system is used to monitor the critical parameters of an Industrial plant. Conventionally these parameters of the plant are available to the users within the premise in the standalone computers. A better solution is to have the conditional monitoring system be migrated to cloud so that the monitoring of the industrial plant can be done from any part of the world with the help of cloud services and the smart mobile phones available in the consumer market. This concept would revolutionize the perspective of the industrial conditional monitoring. This also helps integrate the legacy industrial automation system with new technologies such as mobile cloud and Internet of things (IOT) so that the new technological improvements can be leveraged for improvements in the Industrial automation domain.
Online adaptation of locomotion with evolutionary algorithms: a transferability-based approach

Wheel-legged hybrid robots are versatile machines that can employ several locomotion modes; however, automatically choosing the right locomotion mode is still an open problem in robotics. We here propose that the robot autonomously discovers its locomotion mode using a multi-objective evolutionary optimization and a fixed internal model. Three objectives are optimized: (1) the displacement speed computed with the internal model, (2) the predicted expended energy and (3) the transferability score, which reflects how well the behavior of the real robot is in agreement with the predictions of the internal model. This transferability function is actively learned by conducting 20 experiments on the real robot during the optimization. We tested this approach with a wheel-legged robot in three situations (flat ground, grass-like terrain, tunnel-like environment): in each case, the evolutionary algorithm found efficient controllers for forward locomotion in 1 to 2 minutes.
A joint frame detection and timing estimation scheme for burst OFDM systems in double selective channels

In this paper, a joint frame detection and timing estimation scheme for burst Orthogonal Frequency Division Multiplexing (OFDM) systems is proposed in double selective channels. The proposed scheme based on the training sequence is not sensitive to carrier frequency offset (CFO) and the given threshold for frame detection is robust to different signal-to-noise ratio (SNR). Simulation results demonstrate that the scheme can work well even if SNR is low.
In Defence of Capitalisation Weights: Evidence from the Ftse 100 Index 1984-2004

Capitalisation weighting has added 8,000 basis points of incremental returns to the FTSE 100 Index compared to an equally weighted portfolio of the same constituents. Industry factors explained 66% of the incremental returns, while size and style factors explained 2%. The capitalisation weighted index volatility was lower than the equally weighted counterpart during negative tail events in the return distribution. Diversification benefits have arisen because the biggest firms either had above average returns or below average covariance, compared to the rest of the portfolio constituents.
What Determines a Journalist’s Popularity on Twitter?

Popularity on social media has become more important for journalists as news organisations increasingly encourage their journalists to develop online personas which are popular with audiences. However, outlets’ social media guidelines have also narrowed journalists’ scope for action to do so, particularly in what they can post. Using a quantitative analysis of Twitter data and profiles of 300 UK journalists, this study asks if the strategic use of low-level forms of behaviour as well as journalists’ professional self-presentation on social media offer “a way out”. It finds that a “golden formula” to increase popularity on Twitter through these means does not exist and suggests that journalists’ popularity on Twitter is largely beyond their immediate control, raising important questions about the significance and use of popularity metrics on social media as benchmarks in news organisations.
New Evidence on the Interest Rate Effects of Budget Deficits and Debt

Estimating the effects of government debt and deficits on Treasury yields is complicated by the need to isolate the effects of fiscal policy from other influences. To control for the effects of the business cycle, and associated monetary policy actions, on debt, deficits, and interest rates, this paper studies the relationship between long-horizon forward rates and future federal government deficits and debt as projected by the Congressional Budget Office. For the entire 30-year sample for which these projections are available, the estimated effects of government deficits and debt on interest rates are statistically significant and economically relevant: about 25 basis points per percentage point increase in the projected deficit/GDP ratio, and 3 to 4 basis points for the debt/GDP ratio. Under plausible assumptions the parameter estimates are shown to be consistent with predictions from the neoclassical growth model. (JEL: E6, H6) (c) 2009 by the European Economic Association.
Paclitaxel and Its Evolving Role in the Management of Ovarian Cancer

Paclitaxel, a class of taxane with microtubule stabilising ability, has remained with platinum based therapy, the standard care for primary ovarian cancer management. A deeper understanding of the immunological basis and other potential mechanisms of action together with new dosing schedules and/or routes of administration may potentiate its clinical benefit. Newer forms of taxanes, with better safety profiles and higher intratumoural cytotoxicity, have yet to demonstrate clinical superiority over the parent compound.
Cosmology - The cosmic triangle: Revealing the state of the universe

The cosmic triangle is introduced as a way of representing the past, present and future status of the universe. Our current location within the cosmic triangle is determined by the answers to three questions: How much matter is in the universe? Is the expansion rate slowing down or speeding up? And, is the universe flat? A review of recent observations suggests a universe that is lightweight (matter density about one-third the critical value), is accelerating, and is flat. The acceleration implies the existence of cosmic dark energy that overcomes the gravitational self-attraction of matter and causes the expansion to speed up.
K- and Q-bands CMOS frequency sources with X-band quadrature VCO

Fully integrated 10-, 20-, and 40-GHz frequency sources are presented, which are implemented with a 0.18-/spl mu/m CMOS process. A 10-GHz quadrature voltage-controlled oscillator (QVCO) is designed to have output with a low dc level, which can be effectively followed by a frequency multiplier. The proposed multipliers generate signals of 20 and 40 GHz using the harmonics of the QVCO. To have more harmonic power, a frequency doubler with pinchoff clipping is used without any buffers or dc-level shifters. The QVCO has a low phase noise of -118.67 dBc/Hz at a 1-MHz offset frequency with a 1.8-V power supply. The transistor size effect on phase noise is investigated. The frequency doubler has a low phase noise of -111.67 dBc/Hz at a 1-MHz offset frequency is measured, which is 7 dB higher than a phase noise of the QVCO. The doubler can be tuned between 19.8-22 GHz and the output is -6.83 dBm. A fourth-order frequency multiplier, which is used to obtain 40-GHz outputs, shows a phase noise of -102.0 dBc/Hz at 1-MHz offset frequency with the output power of -18.0 dBm. A large tuning range of 39.3-43.67 GHz (10%) is observed.
Experiences on the Implementation of PARMACS Macros Using Different Multiprocessor Operating System Interfaces

In order to evaluate the goodness of parallel systems, it is necessary to know how parallel programs behave. The SPLASH-2 applications provide us with a realistic workload for such systems. So, we have made different implementations of the PARMACS macros used by SPLASH-2 applications, based on several execution and synchronization models, from classical Unix processes to multithreaded systems. Results have been tested in two different multiprocessor systems (Digital and Silicon Graphics). As parallel constructs in the SPLASH-2 applications are limited to those provided by PARMACS, we can easily study the overhead introduced by synchronization and parallelism management.
A Preliminary Investigation into the Use of Humor in Sport Psychology Practice

“Creative efforts,” such as the use of humor, have been found to be beneficial to the nurse–patient, teacher–student, and psychologist–patient alliance. Potentially humor use might benefit the working alliance in applied sport psychology, yet to date there is limited research. Sport psychology consultants (n = 55) completed an online survey that explored humor use within their practice. Statistical analyses revealed that most participants used humor for adaptive purposes such as to facilitate the working alliance, reinforce knowledge, and create healthy learning environments. Therefore, possible client change is likely to be facilitated by practitioners’ personal qualities and skills such as humor use and humor style. Recommendations are made for sport psychology practitioners in relation to humor use and further research. Increasing recognition has been given to the importance of the professional relationship between the client and practitioner within sport psychology consultancy as a means of facilitating client change. The present study demonstrated that use of humor by practitioners is an important part of enhancing the professional relationship and therefore potentially client change. Lay Summary: Increasing recognition has been given to the importance of the professional relationship between the client and practitioner within sport psychology consultancy as a means of facilitating client change. The present study demonstrated that use of humor by practitioners is an important part of enhancing the professional relationship, and therefore potentially client change.