Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH KUALITAS SISTEM DAN KUALITAS INFORMASI TERHADAP KEPUASAN PENGGUNA PORTAL AKADEMIK UNIVERSITAS NEGERI PADANG

Penelitian ini bertujuan untuk mengetahui pengaruh Kualitas Sistem dan Kualitas Informasi terhadap Kepuasan Pengguna Portal Akademik UNP. Jenis penelitian ini adalah deskriptif kuantitatif. Penelitian ini dilakukan di Universitas Negeri Padang. Sedangkan waktu penelitian dilakukan pada bulan Juni-Agustus tahun 2018. Populasi dalam penelitian ini adalah Mahasiswa UNP yang terdaftar aktif pada tahun 2016 dengan sampel sebanyak 400 orang diambil secara probability sampling. Data diolah dengan menggunakan regresi linear berganda dengan menggunakan program SPSS 16.0. Hasil penelitian menunjukkan bahwa Kualitas Sistem berpengaruh positif signifikan terhadap Kepuasan Pengguna dan Kualitas Informasi berpengaruh positif signifikan terhadap Kepuasan Pengguna pada α = 0,05
E-Learning Retrieval System Through Advanced Data Mining Clustering Technique

: The e-Learning provides the Learners to interact each other as well as with teachers. The new technology virtual learning system (VLE) is used to interact between the student and teacher. The vast improvement in the field of information technique leads to share of information resources. The development in e-Learning system which arise a new way of distributing knowledge around the world without any restrictions. The e-Learning system has huge volume of recourse sharing at various places. The e-Learning retrieval system contains various information’s that can be shared and communicate between the Learners in a course and store Resources from the various server can be retrieved. So there is a need to measure the sharing of resource using specific technique. The data mining clustering technique is used to retrieve the recourse of the e-learning system and measure the recourse shared.
Incidence trends of colorectal cancer in Iran during 2000-2009: A population-based study

Background: As the third leading cause of death, cancers have a special place in the Iranian health system. Several studies have been done in some regions of the country with few years of follow-ups, but this was the first standardized study to investigate the incidence trends of colorectal cancer in Iran in a one-decade period. Methods: The registered data for colorectal cancer cases in National Cancer Registry System were extracted from the Center for Disease Control & Management of Ministry of Health. The codes from 18 to 21 among cancers were selected for colon and rectum cancers. Incidence rates were directly standardized, using WHO population. The significance of incidence rate trends was tested through Poisson regression. Results: In this study, 36,650 cases of colorectal cancer were observed for 10 years in Iran, which increased from 813 cases in 2000 to 6,210 cases in 2009. Gender ratio of men to women was 1.39. Significant increasing trends of colorectal cancer were observed during the period of the study. The standardized incidence rate increased from 1.6 per 100,000 persons per year in 2000 to 11.3 in 2009 in males (p<0.001), and it increased from 1.6 per 100,000 persons per year in 2000 to 10.9 in 2009 in females (p<0.001). Conclusion: Colorectal cancer has an increasing trend in Iran. The rising trend of colorectal cancer as well as other types of cancers is partially due to improvement in cancer registry systems in the early years of registry. Moreover, westernized lifestyle and an increase in environmental risks could explain this rising trend.
Scheduling Broadcasts in a Network of Timelines

Broadcasts and timelines are the primary mechanism of information exchange in online social platforms today. Services like Facebook, Twitter and Instagram have enabled ordinary people to reach large audiences spanning cultures and countries, while their massive popularity has created increasingly competitive marketplaces of attention. Timing broadcasts to capture the attention of such geographically diverse audiences has sparked interest from many startups and social marketing gurus. However, formal study is lacking on both the timing and frequency problems. We study for the first time the broadcast scheduling problem of specifying the timing and frequency of publishing content to maximise the attention received. We validate and quantify three interacting behavioural phenomena to parametrise social platform users: information overload, bursty circadian rhythms and monotony aversion, which is defined here for the first time. We formalise a timeline information exchange process based on these phenomena, and formulate an objective function that quantifies the expected collective attention. We finally present experiments on real data from Twitter, where we discover a counter-intuitive scheduling strategy that outperforms popular heuristics while producing fewer posts.
Towards text-based recommendations

Recommender systems have become, like search engines, a tool that cannot be ignored by a website with a large selection of products, music, news or simply webpages. The performance of this kind of systems depends on a large amount of information. Meanwhile, the amount of information available in the Web is continuously growing. In this paper, we propose to provide recommendation from unstructured textual data. The method has two steps. First, subjective texts are labelled according to their expressed opinion. Second, the results are used to provide recommendations thanks to a collaborative filtering technique. We describe the complete processing chain and evaluate it.
Estimating tail decay for stationary sequences via extreme values

We study estimation of the tail-decay parameter of the marginal distribution corresponding to a discrete-time, real-valued stationary stochastic process. Assuming that the underlying process is short-range dependent, we investigate properties of estimators of the tail-decay parameter which are based on the maximal extreme value of the process observed over a sampled time interval. These estimators only assume that the tail of the marginal distribution is roughly exponential, plus some modest ‘mixing’ conditions. Consistency properties of these estimators are established, as well as minimax convergence rates. We also provide some discussion on estimating the pre-exponent, when a more refined tail asymptotic is assumed. Properties of a certain moving-average variant of the extremal-based estimator are investigated as well. In passing, we also characterize the precise dependence (mixing) assumptions that support almost-sure limit theory for normalized extreme values and related first-passage times in stationary sequences.
Random sampling key revocation scheme for distributed sensor networks

Distributed key or node revocation facilitates the removal of compromised keys or nodes from a network without requiring a central authority. We propose a new revocation scheme, the random neighbourhood sampling node revocation, for distributed sensor networks. Our protocol is based on simple random sampling, a statistical method to estimate the property of the population through randomly sampling a minimal subset of the population. We exploit one of the inherent features of sensor networks: the sensor nodes are densely deployed, and there is a large overlap of the (wireless) coverage areas of any two neighbouring nodes. The revocation decision is made collectively by the neighbours of a suspicious node. However, instead of collecting the opinions of all neighbours of a suspicious node our scheme samples random subsets of the set of all its neighbours and of the node, which issued the warning. Our protocol is fully decentralized, incurs low communication cost, enables fast reaction to a detected intrusion, is false-detection tolerant and can be implemented with any pairwise key distribution scheme.
A Taxonomy of Network Centric Warfare Architectures

Abstract : The Australian Defence Force (ADF) is committed to transitioning, over time, to Network Centric Warfare (NCW). NCW sees the elements of the ADF as "nodes" in a network. The capability of such a force is determined not so much by the individual capabilities of each node, but by the systems properties of the network as a whole. In this paper, we provide a taxonomy of possible NCW architectures, in order to illuminate the possible options and to foster debate and experimentation regarding the appropriate NCW architectures for use by the ADF. The taxonomy is based on the fundamental concepts of value symmetry and homogeneity/heterogeneity, and distinguishes Centralised, Request-Based, and Swarming architectures, as well as combinations of these. We provide several examples of each architecture, and a list of key questions.
Effect of repeated exposure of a humanoid robot on children with autism - Can we encourage basic social interaction skills

This work is part of the Aurora project which investigates the possible use of robots in therapy and education of children with autism (Aurora 2003), based on findings that people with autism enjoy interacting with computers, e.g. (Powell, 1996). In most of our trials we have been using mobile robots, e.g. (Dautenhahn and Werry, 2002). More recently we tested the use of a humanoid robotic doll. In (Dautenhahn and Billard, 2002) we reported on a first set of trials with 14 autistic subjects interacting with this doll. In this paper we discuss lessons learnt from our previous study, and introduce a new approach, heavily inspired by therapeutic issues. A longitudinal study with four children with autism is presented. The children were repeatedly exposed to the humanoid robot over a period of several months. Our aim was to encourage imitation and social interaction skills. Different behavioural criteria (including Eye Gaze, Touch, and Imitation) were evaluated based on the video data of the interactions. The paper exemplifies the results that clearly demo nstrate the crucial need for long-term studies in order to reveal the full potential of robots in therapy and education of children with autism.
Body effect influence on 0.18µm CMOS ring oscillator performance for IR-UWB pulse generator applications

A three-stage ring oscillator in 0. 18μm CMOS technology for IR-UWB applications is analyzed in this paper. The influence of the ring oscillator transistors body effect on its frequency is investigated. New methods that can be used to increase and control the ring oscillator frequency are proposed. Connecting the MOS transistors body terminals to suitable bias voltage (Vdd in case of the PMOS transistors, and ground in case of the NMOS transistors) using the same type of MOS transistors, the ring oscillator frequency can be tuned in appropriate frequency range by adjusting the auxiliary transistors gate control voltage. As the ring oscillator is a part of an IR-UWB (Impulse Radio - Ultra Wideband) pulse generator and its oscillating frequency determines the central frequency of the pulse spectrum, the ability of the frequency adjustment is very desirable advantage as it provides directly the spectrum fitting within the FCC mask.
Score matching for models with latent variables

Undirected graphical models such as Markov random fields or Boltzmann machines prove useful in many signal processing and machine learning tasks. However, parameter estimation in these models is difficult due to the intractable normalising constant in their probability density functions. One powerful technique for parameter estimation in such models is score matching. This technique makes use of an objective function which is independent of the normalising constant and constitutes locally consistent estimators for the parameters of such models. However, score matching is only applicable to fully-observed models. In this paper, we extend the applicability of score matching to models with latent variables. Our estimators are unbiased, based on Monte Carlo integration. Unbiased gradient estimators open the way to optimisation through stochastic approximation. We demonstrate the performance of our methodology on two synthetic problems.
On sparsity averaging

Recent developments in Carrillo et al. (2012) and Carrillo et al. (2013) introduced a novel regularization method for compressive imaging in the context of compressed sensing with coherent redundant dictionaries. The approach relies on the observation that natural images exhibit strong average sparsity over multiple coherent frames. The associated reconstruction algorithm, based on an analysis prior and a reweighted $\ell_1$ scheme, is dubbed Sparsity Averaging Reweighted Analysis (SARA). We review these advances and extend associated simulations establishing the superiority of SARA to regularization methods based on sparsity in a single frame, for a generic spread spectrum acquisition and for a Fourier acquisition of particular interest in radio astronomy.
Computing learning acquisition?

How can learning be computed? Curriculum, using visual language as the motivational context with embedded computer science content was utilized in one college computer science class and two middle school technology classes. From the data collected in these three classes over the course of a semester, associated learning progressions were computed from several computational thinking patterns. By comparing the results (learning progressions), some obvious and some not so obvious indications emerged. We believe that the more obvious indications give credence to the less obvious, and hence the measurement tool. This comparison between middle school students and college students demonstrated that middle school students' learning progressions are slower than college level students (obvious), but middle school students' learning skill scores reached/surpassed the entry level scores of students in the college class after designing only two or more games. Consequently, these results tell us that this measurement tool although not validated yet, could measure accumulated learning in certain contexts. Although this is just the first "outing" of this tool these results strongly indicate that the tool provides an accurate measure of the concept, in this case, learning accumulation or transfer. The Scalable Game Design (SGD) project was funded by the National Science Foundation (NSF) to improve computer science interest in middle schools. The goal of SGD is to use visual language programming software (Agentsheets) to introduce a more positive image of computer science through a game design course.
Programmable logic for IEC 61850 logical nodes by means of IEC 61499

IEC 61850 is a recent standard in substation automation system (SAS) aiming mainly at interoperability. Interoperability is achieved by standardizing communications and data between intelligent electronic devices (IEDs). Data in intelligent electronic devices are modelled in IEC 61850 using an object orientated approach as logical nodes. Although the IEC 61850 standardizes the data and communication in substation design, the implementation of control is intentionally left out of the standard. IEC 61499 function blocks has been proposed to fill the logic void of the IEC 61850 standard. In this paper, intelligent logical node (iLN) architecture is used, which combines both description and control within IEC 61850 logical nodes. An IEC 61850 application presented at the IEC TC57WG10 has been modelled using the iLN architecture with the addition of editable logics within the iLN architecture by means of IEC 61499 function blocks implemented in the ISaGRAF development platform.
Assessment of chronic radiation proctopathy and radiofrequency ablation treatment follow-up with optical coherence tomography angiography: A pilot study

BACKGROUND Chronic radiation proctopathy (CRP) occurs as a result of pelvic radiation therapy and is associated with formation of abnormal vasculature that may lead to persistent rectal bleeding. While incidence is declining due to refinement of radiation delivery techniques, CRP remains one of the major complications of pelvic radiation therapy and significantly affects patient quality of life. Radiofrequency ablation (RFA) is an emerging treatment modality for eradicating abnormal vasculature associated with CRP. However, questions remain regarding CRP pathophysiology and optimal disease management. AIM To study feasibility of optical coherence tomography angiography (OCTA) for investigating subsurface vascular alterations in CRP and response to RFA treatment. METHODS Two patients with normal rectum and 8 patients referred for, or undergoing endoscopic RFA treatment for CRP were imaged with a prototype ultrahigh-speed optical coherence tomography (OCT) system over 15 OCT/colonoscopy visits (2 normal patients, 5 RFA-naïve patients, 8 RFA-follow-up visits). OCT and OCTA was performed by placing the OCT catheter onto the dentate line and rectum without endoscopic guidance. OCTA enabled depth-resolved microvasculature imaging using motion contrast from flowing blood, without requiring injected dyes. OCTA features of normal and abnormal microvasculature were assessed in the mucosa and submucosa. Blinded reading of OCTA images was performed to assess the association of abnormal rectal microvasculature with CRP and RFA treatment, and rectal telangiectasia density endoscopic scoring. RESULTS OCTA/OCT images are intrinsically co-registered and enabled depth-resolved visualization of microvasculature in the mucosa and submucosa. OCTA visualized normal vascular patterns with regular honeycomb patterns vs abnormal vasculature with distorted honeycomb patterns and ectatic/tortuous microvasculature in the rectal mucosa. Normal arterioles and venules < 200 μm in diameter versus abnormal heterogenous enlarged arterioles and venules > 200 μm in diameter were visualized in the rectal submucosa. Abnormal mucosal vasculature occurred in 0 of 2 normal patients and 3 of 5 RFA-naïve patients, while abnormal submucosal vasculature occurred more often, in 1 of 2 normal patients and 5 of 5 RFA-naïve patients. After RFA treatment, vascular abnormalities decreased, with abnormal mucosal vasculature observed in 0 of 8 RFA-follow-up visits and abnormal submucosal vasculature observed in only and 2 of 8 RFA-follow-up visits. CONCLUSION OCTA visualizes depth-resolved microvascular abnormalities in CRP, allowing assessment of superficial features which are endoscopically visible as well as deeper vasculature which cannot be seen endoscopically. OCTA/OCT of the rectum can be performed in conjunction with, or independently from endoscopy. Further studies are warranted to investigate if OCTA/OCT can elucidate pathophysiology of CRP or improve management.
Treated glycosylated hemoglobin levels in individuals with diabetes mellitus vary little by health status

AbstractAs choosing wisely has raised the issue of whether some individuals with type 2 diabetes may be overtreated, we examined the intensity of glycemic control across health status strata defined by comorbidities or frailty.This is a retrospective cohort study of commercially insured patients from 50 US states (Clinformatics Data Mart). We evaluated treated HbA1c levels in adults with new diabetes diagnosed between January 2004 and December 2009 who had HbA1C measured after at least 1 year of follow-up.Of 191,590 individuals with diabetes, 78.5% were otherwise healthy, 10.6% had complex health status (3 or more chronic conditions), and 10.9% were very complex (Johns Hopkins Adjusted Clinical Groups frailty marker or end-stage chronic disease). The proportion of patients who were tightly controlled (HbA1C <7%) was similar in otherwise healthy patients (66.1%) and in complex patients (65.8%, P = 0.37), and although it was lower (60.9%, P < 0.0001) in very complex patients, the magnitude of the difference was small. A substantial proportion of complex/very complex patients were taking sulfonylurea or insulin despite being at an increased risk for adverse effects from these agents and having tightly controlled HbA1C: 40.6% had HbA1C <7% and 24% had HbA1C <6.5%. Among patients with HbA1C <7%, use of insulin or sulfonylureas was associated with an increased risk for all-cause hospitalization [aHR 1.54, 95% confidence interval (95% CI) 1.45–1.64] and for emergency room visits (aHR 1.44, 95% CI 1.35–1.53) over the subsequent median 6 months follow-up.Diabetic control was similar regardless of comorbidity burden and frailty status. Despite being at a higher risk for adverse effects, nearly half of complex and very complex patients were still receiving insulin or sulfonylureas despite having treated HbA1C levels <7%, and these patients did exhibit higher risk of all-cause hospitalizations or emergency visits subsequently.
A Comparison of Shared Memory Parallel Programming Models

The dominant parallel programming models for shared memory computers, Pthreads and OpenMP, are both thread-centric in that they are based on explicit management of tasks and enforce data dependencies and output ordering through task management. By comparison, the Cray XMT programming model is data-centric where the primary concern of the programmer is managing data dependencies, allowing threads to progress in a data flow fashion. The XMT implements this programming model by associating tag bits with each word of memory, affording efficient fine grained data synchronization independent of the number of processors or how tasks are scheduled. When task management is implicit and synchronization is abundant, efficient, and easy to use, programmers have viable alternatives to traditional thread-centric algorithms. In this paper we compare the amount of available parallelism relative to the amount of work in a variety of different algorithms and data structures when synchronization does not need to be rationed, as well as identify opportunities for platform and performance portability of the data-centric programming model on multi-core processors.
Influence of Architecture of β-Tricalcium Phosphate Scaffolds on Biological Performance in Repairing Segmental Bone Defects

Background Although three-dimensional (3D) β-tricalcium phosphate (β-TCP) scaffolds serve as promising bone graft substitutes for the segmental bone defect treatment, no consensus has been achieved regarding their optimal 3D architecture. Methods In this study, we has systematically compared four types of β-TCP bone graft substitutes with different 3D architectures, including two types of porous scaffolds, one type of tubular scaffolds and one type of solid scaffolds, for their efficacy in treating segmental bone defect in a rabbit model. Results Our study has demonstrated that when compared to the traditional porous and solid scaffolds, tubular scaffolds promoted significantly higher amount of new bone formation in the defect regions as shown by X-ray, micro CT examinations and histological analysis, restored much greater mechanical properties of the damaged bone evidenced by the biomechanical testing, and eventually achieved the complete union of segmental defect. Moreover, the implantation of tubular scaffolds enhanced the neo-vascularization at the defect region with higher bone metabolic activities than others, as indicated by the bone scintigraphy assay. Conclusions This study has further the current knowledge regarding the profound influence of overall 3D architecture of β-TCP scaffolds on their in vivo defect healing performance and illuminated the promising potential use of tubular scaffolds as effective bone graft substitute in treating large segmental bone defects.
"Seeing" in the dark: neuromorphic VLSI modeling of bat echolocation

While modern sonar and radar processing systems are constructed using large sensor arrays that have incredible imaging and localization capabilities, the question of what bats experience and how they process echo data with only two ears and a pea-sized brain remains a major mystery. The exploration of this question and the attempt to construct a functional model of the bat's neural signal processing using neuromorphic very large scale integration (VLSI) techniques and robotics have provided an interesting framework for our laboratory's research program.