Miracle-dz/UniFAR-FTUs huggingface dataset:
An e-Business Model Ontology for the creation of new management software tools and IS requirement engineering

The goal of this paper is to give an overview of a thesis that focuses on the domain of e-business models and its application in Management Information Systems (MIS) and Requirements Engineering. The heart of the thesis is the development of an e-Business Model Ontology based on an extensive review of enterprise ontologies and business model literature. By merging the advantages of these two domains, one creates an appropriate basis for the development of a set of software prototypes that help managers understand, communicate and share, design and change e-business models. Further, such models that explain the e-business logic of a company would help IS designers better understand and implement e-business systems without reinventing strategy.
Autonomous Sensory Meridian Response (ASMR): a flow-like mental state

Autonomous Sensory Meridian Response (ASMR) is a previously unstudied sensory phenomenon, in which individuals experience a tingling, static-like sensation across the scalp, back of the neck and at times further areas in response to specific triggering audio and visual stimuli. This sensation is widely reported to be accompanied by feelings of relaxation and well-being. The current study identifies several common triggers used to achieve ASMR, including whispering, personal attention, crisp sounds and slow movements. Data obtained also illustrates temporary improvements in symptoms of depression and chronic pain in those who engage in ASMR. A high prevalence of synaesthesia (5.9%) within the sample suggests a possible link between ASMR and synaesthesia, similar to that of misophonia. Links between number of effective triggers and heightened flow state suggest that flow may be necessary to achieve sensations associated with ASMR.
A high-performance hardwired CABAC decoder for ultra-high resolution video

Context-Based Binary Arithmetic Coding (CABAC) is one of two entropy coders used in H.264/AVC, which achieves a high compression ratio at the expense of high computational complexity. For real-time decoding of ultra-high resolution video, we propose a high-throughput hardwired CABAC decoder subsystem. By analyzing the distribution of different types of syntax elements (SE), we propose a Two-Bin arithmetic decoding engine (Two-Bin AE) to generate two bins in one cycle for the most frequent SEs. In order to boost the utilization of the proposed engine, we employ a Prediction-Based Parallel Processing Method to perform decoding and context index calculation in parallel. Furthermore, we propose a Context Table Reallocation Scheme, which can shorten the critical path delay of a Two- Bin AE circuit by 18%. Experimental results show that our decoder on average takes only 118 clock cycles to decode one macroblock (MB) at Main Profile, Level 4.0. For QFHD, i.e., 4x1080 HD, sequences, it can run effectively at 110 MHz. The design has been successfully integrated into an H.264/AVC QFHD video decoder in an SOC system.
A 400 Mb/s∼2.5 Gb/s Referenceless CDR IC Using Intrinsic Frequency Detection Capability of Half-Rate Linear Phase Detector

A 400 Mb/s ~2.5 Gb/s referenceless clock and data recovery (CDR) IC is presented. This paper shows that the half-rate linear phase detector (PD) has not only phase detection capability but also single-sided frequency detection capability in itself. By using this intrinsic frequency detection capability of the half-rate linear PD, a CDR can be implemented in the single loop architecture without both an external reference clock and a separate frequency detector. For verification, a prototype CDR IC was fabricated in a 0.13 μm CMOS process. With 2.5 Gb/s, 231 - 1 pseudorandom binary sequence (PRBS), the measurement results show that the frequency acquisition time is 17 μs, the bit error rate (BER) is better than 10-12, the jitter of the recovered clock is 8.6 psrms and the out-of-band jitter tolerance is 0.32 UIpp.
Direct pathogen detection from swab samples using a new high-throughput sequencing technology

Abstract The detection of emerging infectious diseases has been a continuing concern, especially with the novel influenza A (H1N1) viral pandemic of 2009. In the present study, we validated a ‘second-generation’ parallel sequencing platform for viral detection in swab samples collected during recent influenza virus infections in Beijing. This operation yielded millions of valid reads per sample and resulted in an almost complete spectrum of nucleotide information. Importantly, novel A (H1N1) and seasonal A (H3N2) influenza virus-derived sequences were detected without prior knowledge or use of genetic information in advance, suggesting that this approach could be a valuable tool for diagnosing emerging infectious diseases.
Characterizing strategic cascades on networks

Transmission of disease, spread of information and rumors, adoption of new products, and many other network phenomena can be fruitfully modeled as cascading processes, where actions chosen by nodes influence the subsequent behavior of neighbors in the network graph. Current literature on cascades tends to assume nodes choose myopically based on the state of choices already taken by other nodes. We examine the possibility of strategic choice, where agents representing nodes anticipate the choices of others who have not yet decided, and take into account their own influence on such choices. Our study employs the framework of Chierichetti et al. [2012], who (under assumption of myopic node behavior) investigate the scheduling of node decisions to promote cascades of product adoptions preferred by the scheduler. We show that when nodes behave strategically, outcomes can be extremely different. We exhibit cases where in the strategic setting 100% of agents adopt, but in the myopic setting only an arbitrarily small ε do. Conversely, we present cases where in the strategic setting 0% of agents adopt, but in the myopic setting (100-ε)% do, for any constant ε > 0. Additionally, we prove some properties of cascade processes with strategic agents, both in general and for particular classes of graphs.
Fair-rate GPS: a new class for decoupling delay and bandwidth properties

Generalized processor sharing (GPS) is an idealized fluid scheduling discipline that has desirable properties for integrated services networks. It provides tight end-to-end guarantees to leaky-bucket constrained streams regardless of the behavior of other connections. It also allocates bandwidth fairly among all connections regardless of whether or not their traffic is constrained. According to their weight assignments, GPS networks are categorized into three classes: rate proportional processor sharing (RPPS), consistent relative session treatment (CRST) and arbitrary weighting. These classes achieve different degrees of complexity, stability, coupling between delay and bandwidth, and utilization gain. We present a new GPS class: the fair-rate GPS. For this class, the weights are set in proportion to both bandwidth and required delay, thus achieving higher utilization while avoiding the coupling. problem. We evaluate the new class using MPEG video traces and show that higher utilization gain can be achieved.
Comparing Massive High-Dimensional Data Sets

The comparison of two data sets can reveal a great deal of information about the time-varying nature of an observed process. For example, suppose that the points in a data set represent a customer's activity by their location in n-dimensional space. A comparison of the distribution of points in two such data sets can indicate how the customer activity has changed between the observation periods. Other applications include data integrity checking. An unexpected change in a data set can indicate a problem in the data collection process. We propose a fast, inexpensive method for comparing massive high dimensioned data sets that does not make any distributional assumptions. The method adapts the power of classical statistics for use on complex, high dimensional data sets. We generate a map of the data set (a DataSphere), and compare data sets by comparing their DataSpheres. The DataSphere can be generated in two passes over the data set, stored in a database, and aggregated at multiple levels. We illustrate the use of our set comparison technique with an example analysis of data sets drawn from AT&T data warehouses.
A Hybrid Fuzzy Heuristic for Point Data Reduction in Reverse Engineering

As modeling and visualization applications proliferate, there arises a need to reduce three dimensional unorganized data points in reverse engineering. To meet the demand for both geometric and engineering fidelity of the reduction, a fuzzy-clustering-based reduction method is presented. As an effective extension to the existing pure geometric reduction methods, a hybrid heuristic is introduced. It includes descriptions of samples’ fuzzy imperative attributes and fuzzy geometric attributes. Reduced points favor to gather at regions of high curvature and surface boundaries. Detailed features, which are particularly valuable for machining, can be well preserved. The method works directly on the point cloud, requiring no intermediate tessellation. The algorithm is experimented on different models and show reasonable results.
SCMA codebook design base on circular-QAM

Spare code multiple access (SCMA) is a promising multiple access scheme with massive connectivity for 5G cellular system. This paper proposes a new method to create multidimensional mother constellations of SCMA codebook by using circular quadrature amplitude modulation (circular - QAM) method. This proposed method can reduce the complexity of message passing algorithm (MPA) due to the sparsity of SCMA codewords. The complexity of MPA commensurates with the number of projection point. The less number of projection point is, the less complex MPA will be. Furthermore, the new codebook and low projections have been simulated with MIMO-SCMA performed in Rayleigh fading channels. Due to the efficiency of this new codebook, when its complexity is minimized, the simulation results show bit error rate (BER) performance gain of the existing low complexity structured codebooks and the codebooks that their complexity is not minimized.
Receipt of psychosocial care among cancer survivors in the United States.

PURPOSE Given the importance of psychosocial care for cancer survivors, this study used population-based data to characterize survivors who reported a discussion with health care provider(s) about the psychosocial effects of cancer and who reported using professional counseling or support groups (PCSG) and tested associations between receipt of psychosocial care and satisfaction with care. PATIENTS AND METHODS We examined survivors of adult cancers from the 2010 National Health Interview Survey (N = 1,777). Multivariable logistic regression models examined factors associated with receipt of and satisfaction with psychosocial care. RESULTS Most survivors (55.1%) reported neither provider discussions nor use of PCSG; 31.4% reported provider discussion only, 4.4% reported use of PCSG only, and 8.9% reported both. Non-Hispanic blacks (v non-Hispanic whites), married survivors, survivors of breast cancer (v prostate or less prevalent cancers), those treated with chemotherapy, and survivors reporting past research study/clinical trial participation were more likely to report provider discussion(s) (P < .01). Hispanics (v non-Hispanic whites), survivors age 40 to 49 years (v ≤ 39 years), survivors of breast cancer (v melanoma or less prevalent cancers), those diagnosed ≤ 1 year ago (v > 5 years ago), survivors treated with radiation, and past research participants were more likely to report use of PCSG (P < .05). Survivors reporting any psychosocial care were more likely to be "very satisfied" with how their needs were met (P < .001). CONCLUSION Many survivors do not report a discussion with providers about the psychosocial effects of cancer, which reflects a missed opportunity to connect survivors to psychosocial services. These data can benchmark the success of efforts to improve access to cancer-related psychosocial care.
Skill learning and inference framework for skilligent robot

To achieve a certain task, a skilligent robot should be able to learn the skills embedded in that task. Furthermore, the robot should be able to infer such skills to handle uncertainties and perturbations, since most robot tasks are usually daily-life tasks that include many unexpected situations. Therefore, we propose a unified skill learning and inference framework. The framework includes six processing modules: 1) a human demonstration process, 2) an autonomous segmentation process, 3) a dynamic movement primitive learning process, 4) a Bayesian network learning process, 5) a motivation graph construction process, and 6) a skill-inferring process. Based on the framework, the robot learns and infers situation-adequate and goal-oriented skills to handle uncertainties and human perturbations. To show the validity of our framework, some experimental results are illustrated using a robot arm that performs a `tea service' task.
Strategies to increase children's vegetable intake in home and community settings: a systematic review of literature

A systematic review was undertaken to identify intervention characteristics associated with increasing consumption of vegetables in children (2-12 years). PubMed, PsychINFO and CABabstracts were used to identify studies published between 2004-2014 that had measures of vegetable consumption, a minimum of 3-month follow-up and were conducted in home and community settings (outside of schools). Twenty-two studies were included in the review. Details of the study design, population, setting, intervention characteristics, target behaviour, behaviour change techniques used and vegetable intake were extracted. Study quality and intensity were scored. Overall, 12/22 studies were effective short-term, and 6/10 were effective long-term (6 + months); mean short-term change in vegetable intake was 29%, equating to an increase of a quarter to a half of a serving of vegetables. Intervention effectiveness was associated with number of settings targeted and frequency of contact but not length of intervention. Planning for social support, vegetable exposure and provision of staff training were commonly used behaviour change techniques in effective interventions. This review has identified strategies that may optimise effectiveness of future home-based and community-based interventions aiming to increase vegetable intake in young children.
Relating Prognosis in Chromophobe Renal Cell Carcinoma to the Chromophobe Tumor Grading System

Purpose The chromophobe subtype of renal cell carcinoma (chRCC) has generally been associated with a better prognosis than the clear cell type; however, debate continues as to absolute prognosis as well as the significance of certain prognostic variables. We investigated the significance of pathologic stage and a recently proposed chromophobe tumor grading (CTG) scheme in predicting chRCC outcomes. Materials and Methods All available chRCCs were identified from our surgical pathology archives from 1987-2010. Original slides were reviewed to verify diagnoses and stage, and each case was graded following a novel chromophobe tumor grade system criteria. Disease status was obtained from a clinical outcome database, and cancer specific deaths and recurrences were recorded. Results Eighty-one cases of chRCC were identified, and 73 had adequate follow-up information available. There were only 3 instances of cancer related recurrence or mortality, which included 1 disease specific mortality and 2 disease recurrences. Pathologic stage and CTG 3 were found to be significantly associated with the recurrences or death from chRCC, but there was no association with CTG 1 and CTG 2. Conclusions chRCC is associated with a very low rate of cancer specific events (4.1%) even at a tertiary referral center. In our study, pathologic stage and CTG 3, but not CTG 1 or 2, were significantly associated with the development of these events.
Optimization of the Different Pole Arc Combination to Reduce the Cogging Torque in PMDC Motors

In this paper, the method with different pole arc combination was adopted to reduce the cogging torque in PMDC motors. To minimize the cogging torque, a global optimization algorithm (zooming algorithm) and the finite element method (FEM) are combined to find the best pole arc combination. The Fourier coefficient of the square of magnetic flux density is analyzed to determine the feasible region from which the lowest cogging torque was obtained. Then the zooming algorithm and FEM are used to find the best combination. It can be concluded that the cogging torque is notably reduced
Intergenerational Associations of Chronic Disease and Polycystic Ovary Syndrome

Background Polycystic ovary syndrome (PCOS) is a common female endocrine disorder of heterogeneous clinical presentation, high disease burden, and unknown aetiology. The disease and associated conditions cluster in families, suggesting that PCOS may be the reproductive consequence of underlying chronic disease susceptibility. Objective To determine whether parents of young women with PCOS were more likely to have a history of diabetes or cardiovascular disease in later adult life. Design, Setting and Participants Structured interviews with 715 members of a cohort constructed by tracing female infants born at a single general hospital in Adelaide between 1973 and 1975. Participants were asked whether they had a pre-existing medical diagnosis of PCOS, and whether each parent had ever had high blood pressure, high cholesterol, diabetes, stroke, or heart disease. Maternal high blood pressure during pregnancy was taken from the medical record of the pregnancy with the study participant. Results and Conclusions Mothers of women with PCOS were more likely than mothers of other women to have any cardiovascular disease (RR 1.78, 95% CI 1.29, 2.47), and nearly twice as likely to have high blood pressure (RR 1.95, 95% CI 1.38, 2.76). Fathers of women with PCOS were more than twice as likely to have heart disease (RR 2.36, 95% CI 1.44, 3.88) and over four times as likely to have had a stroke (RR 4.37, 95% CI 1.97, 9.70). Occurrence of cardiovascular disease in both mother and father are associated with the risk of PCOS in daughters. Further detailed study is required to elucidate the precise pathways that may be causally related to the observations.
Seasonal Variation in Myopia Progression and Ocular Elongation

Purpose. To evaluate possible seasonal variations in myopia progression and ocular elongation in school children. Methods. Seventy-one children who were enrolled in a clinical trial of bifocals were examined every 6 months for 30 months. Three 6-month intervals (“winters”) included none of the summer vacation from school, and two intervals (“summers”) included all of the summer vacation. Myopia was evaluated, after cycloplegia with 2 drops of 1% tropicamide, by automated refractor, and changes in axial length and in vitreous chamber depth were measured by A-scan ultrasonography. Data from left and right eyes were averaged because there was no evidence of a significant eye-visit interaction. Analysis of variance with a planned contrast was used to evaluate differences between the observed rates of change over the two summers compared with expected rates assuming no seasonal effect. Results. For 37 children in single-vision lenses, myopia progression rates over the two summers averaged 0.15 D compared with 0.32 D over the three winters. For 34 children in bifocal glasses, summer rates averaged 0.07 D compared with 0.30 D for winters. Analysis of variance showed that seasonal effects on myopia progression were significant (p < 0.025) for both groups for the first summer and approached significance for the second summer. Increases in vitreous chamber depth were also slower during the summer, significantly so (p < 0.01) for both summers in the single-vision group and for the second summer only in the bifocal group. Changes in axial length were somewhat slower in the summer, but the effect of season reached statistical significance in that variable only for the second summer in the bifocal group (p = 0.031). Conclusion. Myopia progression rates were slower during the 6-month periods that included all of the summer vacation than would be expected assuming no seasonal effect. Ocular growth was also slower in the summer; but that trend, in most cases, was statistically significant only for changes in vitreous chamber depth and not for axial length.
ROC Analysis of Statistical Methods Used in Functional MRI: Individual Subjects

The complicated structure of fMRI signals and associated noise sources make it difficult to assess the validity of various steps involved in the statistical analysis of brain activation. Most methods used for fMRI analysis assume that observations are independent and that the noise can be treated as white gaussian noise. These assumptions are usually not true but it is difficult to assess how severely these assumptions are violated and what are their practical consequences. In this study a direct comparison is made between the power of various analytical methods used to detect activations, without reference to estimates of statistical significance. The statistics used in fMRI are treated as metrics designed to detect activations and are not interpreted probabilistically. The receiver operator characteristic (ROC) method is used to compare the efficacy of various steps in calculating an activation map in the study of a single subject based on optimizing the ratio of the number of detected activations to the number of false-positive findings. The main findings are as follows: Preprocessing. The removal of intensity drifts and high-pass filtering applied on the voxel time-course level is beneficial to the efficacy of analysis. Temporal normalization of the global image intensity, smoothing in the temporal domain, and low-pass filtering do not improve power of analysis. Choices of statistics. the cross-correlation coefficient and t-statistic, as well as nonparametric Mann-Whitney statistics, prove to be the most effective and are similar in performance, by our criterion. Task design. the proper design of task protocols is shown to be crucial. In an alternating block design the optimal block length is be approximately 18 s. Spatial clustering. an initial spatial smoothing of images is more efficient than cluster filtering of the statistical parametric activation maps.
Online Gradient Descent in Function Space

In many problems in machine learning and operations research, we need to optimize a function whose input is a random variable or a probability density function, i.e. to solve optimization problems in an in? nite dimensional space. On the other hand, online learning has the advantage of dealing with streaming examples, and better model a changing environ- ment. In this paper, we extend the celebrated online gradient descent algorithm to Hilbert spaces (function spaces), and analyze the convergence guarantee of the algorithm. Finally, we demonstrate that our algorithms can be useful in several important problems.