Miracle-dz/UniFAR-FTUs huggingface dataset:
Joint BER Optimization and Blind PAPR Reduction of OFDM Systems With Signal Space Diversity

This letter deals with a peak-to-average power ratio (PAPR) reduction scheme for orthogonal frequency division multiplexing (OFDM) systems with signal space diversity. An original algorithm for the selection of two rotated and cyclically Q-delayed (RCQD) QAM constellations is proposed to jointly optimize the bit error rate (BER) and the blind detection performance of a selected mapping (SLM) technique. Simulation results show that the proposed method achieves a large PAPR reduction with no spectral spoilage and also enhances the BER performance in the case of DVB-T2 over different channels.
Multivariate Analysis and Character Association on the Growth and Yield of Bambara Groundnut in Mubi, Adamawa State, Nigeria

Twelve cultivars of Bambara groundnut (Vigna subterranea (L.) collected from some villages in Borno and Adamawa States in North-eartern Nigeria were planted in a Randomized Complete Block Design, replicated thrice during 2004 and 2005 wet seasons, to obtain information on principal component analysis and character association among fourteen traits. A plot of principal component axis (Prin 1) versus principal component axis 2 (Prin 2) for the fourteen characters of bambara groundnut cultivars evaluated classified these characters into two major groups. The first major group (quadrant 1 and 3) accomodated vegetative characters; while the second group (quadrant 2 and 4) accomodated yield and yield component characters. From the principal components, the primary source of variation for the yield related traits which had large positive significance coefficients include the following: pod yield per plant, seed yield per plant, pod number per plant, pod width and length, seed width and length. All these characters positively correlated with seed yield per hectare. This implies that selection for this character could possibly enhance bambara groundnut improvement.
Market-Driven Stochastic Resource Allocation Framework for Wireless Network Virtualization

Wireless network virtualization is emerging as a potential game-changer for fifth-generation wireless networks. Virtualization of network resources (e.g., infrastructure and spectrum) brings several advantages. One key advantage is that various network operators can robustly share their virtualized network resources to extend coverage, increase capacity, and reduce costs. However, inherent features of wireless communications, e.g., the uncertainty in user equipment locations and channel conditions, impose significant challenges on virtualization and sharing of the network resources. In this context, we propose a novel three-layered virtualization framework, based on a matching game model and stochastic resource allocation. Our proposed architecture aims at guaranteeing user satisfaction and maximizing the revenue for operators, with reasonable computational complexity, and affordable network overhead.
Rapid-Flooding Time Synchronization for Large-Scale Wireless Sensor Networks

Accurate and fast-convergent time synchronization is very important for wireless sensor networks. The flooding time synchronization converges fast, but its transmission delay and by-hop error accumulation seriously reduce the synchronization accuracy. In this article, a rapid-flooding multiple one-way broadcast time-synchronization (RMTS) protocol for large-scale wireless sensor networks is proposed. To minimize the by-hop error accumulation, the RMTS uses maximum likelihood estimations for clock skew estimation and clock offset estimation, and quickly shares the estimations among the networks. As a result, the synchronization error resulting from delays is greatly reduced, while faster convergence and higher-accuracy synchronization is achieved. Extensive experimental results demonstrate that, even over 24-hops networks, the RMTS is able to build accurate synchronization at the third synchronization period, and moreover, the by-hop error accumulation is slower when the network diameter increases.
Podcast sebagai Alternatif Distribusi Konten Audio

The proliferation of Internet has been another warning bell for conventional broadcast radio. Numbers of listener gradually shift to the new mean of media as it is more attractive and convenient for users. The situation drives radio managers to adapt with various ways. Developing audio podcast is among the strategy that has been growing in the United States and various countries in Europe, but not yet quite popular in Indonesia. Whereas the potential audience is quite large, since the growing number of commuters and fact that about 30% of total population is categorized as auditory learner. For such reason, this library research is conducted to explore the opportunities for audio podcast to develop in Indonesia, as well as content analysis of some of the most successful podcast provider sites. The results show that audio podcast optimization strategy includes the development of podcast materials with appropriate approach and content distribution with audience’s needs, wants, and ways of consuming audio content; as well as the compatibility of the content with the character and orientation of the media. In addition, this effort must also be accompanied by intensive campaigns through various way.
Capital Structure Determinants During the Sovereign Debt Crisis Period in Europe

This study investigates the speed of adjustment of the capital structure of small and medium capitalised firms in Europe before and during the sovereign debt crisis period. The sample includes 306 firms from 10 European countries comprising 2,142 firm-year observations for the period 2006 to 2013. After controlling the influence of firm-level, industry-level, and macroeconomic factors on debt levels, we report that small and medium capitalised firms have adjusted their capital structure during the sovereign debt crisis period and the speed of adjustment was quicker in non-stressed countries compared to the firms in the stressed countries. Our findings also show that the quality of countries’ institutional factors has significantly influenced the speed of adjustment of leverage of small and medium capitalised firms during the crisis period. Our findings suggest that the firm-level determinants of leverage for small and medium capitalised firms in Europe are; size and asset tangibility. Furthermore, the industry-level determinant is industry median leverage and macroeconomic-level determinants are GDP growth rate and inflation rate. The policy implications of the findings indicate that improving the country’s institutional environment (such as governance, rule of law, and corruption) will ease small and medium capitalised firms’ financial difficulties, which in turn facilitate their economic performance and resilience.
Emotion in human-computer interaction

Understanding Emotion . 54 Distinguishing Emotion from Related Constructs . 55 Mood . 55 Sentiment . 56 Effects of Affect . 56 Attention . 56 Memory . 57 Performance . 57 Assessment . 57 Causes of Emotion . 58 Needs and Goals . 58 Appraisal Theories . 59 Contagion . 59 Moods and Sentiments . 59 Previous Emotional State . 59 Causes of Mood . 60 Contagion . 60 Color . 60 Other Effects . 60 Measuring Affect . 60 Neurological Responses . 61 Autonomic Activity . 61 Facial Expression . 61 Voice . 62 Self-Report Measures . 62 Affect Recognition by Users . 63 Open Questions . 64 1. With which emotion should HCI designers be most concerned? 64 2. When and how should interfaces attempt to directly address users’ emotions and basic needs (vs. application-specific goals)? 64 3. How accurate must emotion recognition be to be useful as an interface technique? 64 4. When and how should users be informed that their affective states are being monitored and adapted to? 64 5. How does emotion play out in computermediated communication (CMC)? 64 Conclusion . 64 Acknowledgments . 64 References . 65
Analyzing Spatial Models of Choice and Judgment with R

Introduction The Spatial Theory of Voting Summary of Data Types Analyzed by Spatial Voting Models The Basics Data Basics in R Reading Data in R Writing Data in R Analyzing Issue Scales Aldrich-McKelvey Scaling Basic Space Scaling: The blackbox Function Basic Space Scaling: The blackbox transpose Function Anchoring Vignettes Analyzing Similarities and Dissimilarities Data Classical Metric Multidimensional Scaling Non-Metric Multidimensional Scaling Bayesian Multidimensional Scaling Individual Differences Multidimensional Scaling Unfolding Analysis of Rating Scale Data Solving the Thermometers Problem Metric Unfolding Using the MLSMU6 Procedure Metric Unfolding Using Majorization (SMACOF) Bayesian Multidimensional Unfolding Unfolding Analysis of Binary Choice Data The Geometry of Legislative Voting Reading Legislative Roll Call Data into R with the pscl Package Parametric Methods-NOMINATE MCMC or a-NOMINATE Parametric Methods-Bayesian Item Response Theory Nonparametric Methods-Optimal Classification Advanced Topics Using Latent Estimates as Variables Ordinal and Dynamic IRT Models Conclusion and Exercises appear at the end of each chapter.
PENINGKATAN KEMAMPUAN BERPIKIR KRITIS DAN DISPOSISI MATEMATIS SISWA SMP DENGAN MENGGUNAKAN PENDEKATAN PROBLEM POSING

Abstract . One of the goals of learning mathematics in school is to improve the ability of problem solving, the student was required to have a higher thinking skills such as critical thinking skills. Use of appropriate critical thinking skills will greatly assist students in improving problem-solving abilities. In addition to critical thinking, another very important aspect to be improved in mathematics learning is positive views of students towards mathematics or known as mathematical disposition. Problem posing approach that requires students to ask questions and make the settlement is expected to be able to develop students 'thinking skills, especially critical thinking skills and mathematical change students' views of mathematics became more positive. This study aims to assess the improvement of critical thinking skills and dispositions that are taught to students' mathematical problem posing approach and students are taught with conventional teaching. This study is a design experiment using pre-test post-test control group design. The population in this study is the seventh grade students of SMP Negeri 9 Banda Aceh in the school year 2012-2013. Samples were taken two classes VII 3 class as the experimental class and the class as a class VII 4 control through random sampling technique. The instrument used to obtain research data is test critical thinking skills questionnaire sheet-scale mathematical and mathematical disposition. The statistical test used to analyze the data increase critical thinking skills and dispositions are mathematically ANOVA test two paths. The results showed that an increase in critical thinking skills and dispositions that are taught to students' mathematical problem posing approach better than students taught with conventional teaching. Keywords : Problem Posing Approach, Critical Thinking Mathematically, Mathematical Disposition.
MF-CNN: Traffic Flow Prediction Using Convolutional Neural Network and Multi-Features Fusion

Accurate traffic flow prediction is the precondition for many applications in Intelligent Transportation Systems, such as traffic control and route guidance. Traditional data driven traffic flow prediction models tend to ignore traffic self-features (e.g., periodicities), and commonly suffer from the shifts brought by various complex factors (e.g., weather and holidays). These would reduce the precision and robustness of the prediction models. To tackle this problem, in this paper, we propose a CNN-based multi-feature predictive model (MF-CNN) that collectively predicts network-scale traffic flow with multiple spatiotemporal features and external factors (weather and holidays). Specifically, we classify traffic self-features into temporal continuity as short-term feature, daily periodicity and weekly periodicity as long-term features, then map them to three two-dimensional spaces, which each one is composed of time and space, represented by two-dimensional matrices. The high-level spatiotemporal features learned by CNNs from the matrices with different time lags are further fused with external factors by a logistic regression layer to derive the final prediction. Experimental results indicate that the MF-CNN model considering multi-features improves the predictive performance compared to five baseline models, and achieves the trade-off between accuracy and efficiency. key words: Intelligent Transportation Systems, traffic flow prediction, convolutional neural networks, multiple spatiotemporal features, external factors
The Java Language Specification, 3rd Edition

A device for the overturning of polygonal bodies, by a plurality of pivotal elements preferably journalled on shafts located in a common horizontal plane and which elements have edges parallel to the diameters of said shafts and are turned the same direction in synchronization with the body to be overturned initially resting on one of said elements, then during pivoting of said elements, said body by its weight follows the pivoting movement of the edge of the other element against which the body rest while being supported by an edge of the other element in a notch provided between two edges of said elements when they are in an inclined position and finally, when the edge of the other element is turned to a horizontal position, said body rest on said other element after having been overturned an angle which corresponds to the division between two juxtapositioned sides of said body.
Modelling novel heat exchangers for aircraft thermal management

This thesis focuses on proposing a novel heat management solution which could be applied in the next generation aircraft. The need for novel solutions in this sector arises primarily from the severe installation constrains and the increased use of electronics which in turn creates the need for more efficient cooling. The research is accomplished by focusing on numerical modelling of heat exchanger performance using computational fluid dynamics. In Chapters 1-3 an overview of the topics relating to the project is provided. It was particularly focused on current heat exchangers used in industry and the recent advancements within the aircraft thermal management systems driving this project.Various additive layer manufacturing techniques are compared and the most suitable one for heat exchangers is identified. In addition, current analytical/empirical design methodology of heat exchangers is compared to existing numerical modelling work. In Chapter 4 a two dimensional sinusoidal heat exchanger channel geometry was taken from a published numerical study. It was used to assess the impact of various numerical modelling assumptions at the highest computational resolution feasible. It was found that for the flows occurring in the transitional Reynolds number regime a particular care needs to be taken in numerical solution setup to predict flow and heat transfer accurately which is often not demonstrated in the literature. In Chapter 5 a plate-fin heat exchanger with serrated corrugation was experimentally and numerically evaluated allowing to build a robust numerical modelling framework for heat exchangers. During the process a novel approach to model heat exchanger corrugation was proposed. It uses a slice of a heat exchanger core and models both hot and cold fluid streams separated by a solid. It enables simulating the cross-flow heat transfer effects directly and eliminates the need for analytical/empirical models still popular within industry. The data from this novel corrugation model was then used in the heat exchanger unit model and produced a better agreement with the experimental data than normally obtained in industry. In Chapter 6 the research focused on applying additive layer manufacturing to heat exchangers. A series of novel heat transfer ideas were designed and manufactured of titanium using selective layer melting. The most promising inter-layer heat exchanger corrugation was incorporated in a novel proof of concept heat exchanger design with manifold headers. It was then evaluated numerically and compared to a more conventional pin-fin heat exchanger. Overall, the novel heat exchanger design led to increased heat transfer with no penalty in flow resistance compared to the pin-fin heat exchanger. This novel design, whilst is a proof of concept heat exchanger, is a significant step in industry and opens the way for the next generation more efficient heat transfer solutions.
Stalled Innovation: Examining the technological, pedagogical and content knowledge of Australian university educators.

This paper presents a summary of the key findings of a TPACK survey adapted for a higher education context and serves as an initial sampling technique for a larger study in the design and delivery practices of academics. There are few studies that investigate how technologies are used and experienced in courses from an objective pedagogical perspective. In this first stage, a survey was implemented to understand academic perceptions of the role that technologies play in relation to their content and their pedagogies. The initial findings indicate that the connections within these domains are limited in the academic context.
Epidemiology of antibiotic use in a neonatal intensive care unit.

OBJECTIVE: To determine the incidence and pattern of antibiotic use in a neonatal intensive care unit (NICU). DESIGN: Prospective study of a one-month NICU cohort. Investigators visited each subject, checking nursing notes, antibiotic flow sheets, and laboratory data at each daily visit. SETTING: The NICU at Yale-New Haven Hospital, New Haven, Connecticut; a regional care, level 3 unit in a tertiary care medical center. PATIENTS: All infants admitted to the NICU for one month (n = 63) who resided in the unit for > or = 24 hours. RESULTS: 75% of the infants had antibiotic treatment begun in the first 48 hours of life. The highest rate of antibiotic treatment starts was in premature infants with birthweight less than 1,500 g, 92% of whom received antibiotics in the first 48 hours. In the subsequent days of life the incidence of starting antibiotic treatment was low and sporadic and the prevalence of antibiotic treatment by day of life showed a sharp decline between the third and fourth days of life. Five cross-sectional studies in the nursery showed point-prevalence rates of antibiotic use to be 27% to 43% of the whole NICU population, highest in the intensive care sector of the unit and in those < 72 hours of age. CONCLUSIONS: The high incidence of antibiotic starts in this NICU was largely the result of almost universal treatment of premature infants beginning on the first day of life. The risk of infection in these infants is quite low; more information is needed concerning how to distinguish infants who do not require treatment. This study provides comparison data for NICUs compiling data on incidence and prevalence of antibiotic use and developing programs to limit antibiotic use.
The Effect of a Modified Posterior Approach on Blood flow to the Femoral Head during Hip Resurfacing

The deep branch of the medial femoral circumflex artery is vulnerable to injury during posterior approaches to the hip. We modified the posterior approach during hip resurfacing in 10 patients by dividing the short external rotators 2 cm from their insertion into the femur. The cefuroxime concentrations in bone samples from the femoral heads were compared with results for the extended posterolateral approach from previous published work. There was no difference between the concentration of cefuroxime in bone when using the modified posterior approach (mean 5.6 mg/kg; CI 3.6 – 7.8) compared to the extended posterolateral approach (mean 5.6 mg/kg; CI 3.5 - 7.8; p=0.95). The similarity in femoral head perfusion between approaches suggests that the blood supply may be impaired further by capsulotomy and capsulectomy rather than by damage to the deep branch of the MFCA alone.
Omentin and apelin concentrations in relation to obesity diabetes mellitus type two and cardiovascular diseases in Egyptiant population

Obesity is a chronic disease of multi factorial origin [1]. It’s now widely accepted that obesity is associated with many metabolic disorders including type 2 diabetes mellitus (T2DM) [2]. The major link between obesity and T2DM is insulin resistance (IR). Adipose tissue depots are the most vulnerable target to mediate significant immune cells infiltration and inflammation contributing to systemic inflammation and IR in obese humans [3]. Diabetes has become an epidemic and remains a major public health issue. In 2010, it was estimated that 4.787 million Egyptians (10.4 % of the Egyptian population) had diabetes and that diabetes will increase to 8.615 million Egyptians by the year 2030 [4]. Diabetes mellitus increases the incidence of coronary heart disease, being the most common and clinically important complication in DM [5].
Biliary Complications After Liver Transplantation From Donation After Cardiac Death Donors: An Analysis of Risk Factors and Long-term Outcomes From a Single Center

Objective:This study evaluates the long-term outcomes, biliary complication rates, and risk factors for biliary complications after liver transplantation from “donation after cardiac death” (DCD) donors. Background:Recent enthusiasm toward increased use of DCD donors' livers is mitigated by high biliary complication rates. Predictive risk factors for the development of biliary complications after DCD liver transplantation remain incompletely defined. Methods:We performed a retrospective review of 1157 “donation after brain death” (DBD) and 87 DCD liver transplants performed between January 1, 1993, and December 31, 2008. Patient and graft survivals and complication rates within the first year of transplantation were compared between DBD and DCD groups. Cox proportional hazards models were used to assess the influence of potential risk factors. Results:Patient survival was significantly lower in the DCD group compared with the DBD group at 1, 5, 10, and 15 years (DCD: 84%, 68%, 54%, and 54% vs DBD: 91%, 81%, 67%, and 58%; P < 0.01). Graft survival was also significantly lower in the DCD group compared with the DBD group at 1, 5, 10, and 15 years (DCD: 69%, 56%, 43%, 43% vs DBD: 86%, 76%, 60%, 51%; P < 0.001). Rates of overall biliary complications (OBC) (DCD: 47% vs DBD: 26%; P < 0.01) and ischemic cholangiopathy (IC) (DCD: 34% vs DBD: 1%; P < 0.01) were significantly higher in the DCD group. Donor age [hazard ratio (HR): 1.04; P < 0.01] and donor age greater than 40 years (HR: 3.13; P < 0.01) were significant risk factors for the development of OBC. Multivariate analysis revealed that cold ischemic time (CIT) greater than 8 hours (HR: 2.46; P = 0.05) and donor age greater than 40 years (HR: 2.90; P < 0.01) significantly increased the risk of IC. Conclusions:Long-term patient and graft survival after DCD liver transplantation remain significantly lower but acceptable when compared with DBD liver transplantations. Donor age and CIT greater than 8 hours are the strongest predictors for the development of IC. Careful selection of younger DCD donors and minimization of CIT may limit the incidence of severe biliary complications and improve the successful utilization of DCD donors' livers.