Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining Factors that Influence Intent to Adopt Data Science

ABSTRACT Data science is a relatively new and emerging field with strong job growth projections. In this work, we develop a new theoretical model based on the theory of planned behavior and the IS Success Model in order to understand public perceptions about data science. Specifically, we aim to determine the potential impact and if the public views data science as beneficial to organizations and society and whether this in turn leads to an intent to use data science. In order to answer the aforementioned questions, we develop a definition of data science derived from current, state-of-the-art literature. Next, we test our theoretical model via a survey instrument that adapts relevant constructs from academic literature. Results indicate support for our model and subsequent hypotheses which show that information quality and system quality impact social norms and behavioral control which in turn influences perceived benefits of data science which influences the intent to use data science. Our model can be employed to advance the adoption of data science as a tool for business and data driven decision-making as well as position academia to train future generations of data scientists.
Query Workload-Aware Index Structures for Range Searches in 1D, 2D, and High-Dimensional Spaces

Most current database management systems are optimized for single query execution. Yet, often, queries come as part of a query workload. Therefore, there is a need for index structures that can take into consideration existence of multiple queries in a query workload and efficiently produce accurate results for the entire query workload. These index structures should be scalable to handle large amounts of data as well as large query workloads. The main objective of this dissertation is to create and design scalable index structures that are optimized for range query workloads. Range queries are an important type of queries with wide-ranging applications. There are no existing index structures that are optimized for efficient execution of range query workloads. There are also unique challenges that need to be addressed for range queries in 1D, 2D, and high-dimensional spaces. In this work, I introduce novel cost models, index selection algorithms, and storage mechanisms that can tackle these challenges and efficiently process a given range query workload in 1D, 2D, and high-dimensional spaces. In particular, I introduce the index structures, HCS (for 1D spaces), cSHB (for 2D spaces), and PSLSH (for high-dimensional spaces) that are designed specifically to efficiently handle range query workload and the unique challenges arising from their respective spaces. I experimentally show the effectiveness of the above proposed index structures by comparing with state-of-the-art techniques.
Implementation of ITIL Service Lifecycle in Small and Medium-Sized Enterprises of Polish ICT Sector

The aim of the article is to present implementation of ITIL Service Lifecycle in SMEs of ICT sector in Poland. Modern IT firms turn their attention toward businessoriented service provisioning. ITSM frameworks, suc h as ITIL enable this shift of IT firms. This article presents unique knowledge on IT IL Service Lifecycle processes adoption in SMEs with particular emphasis on deploy ment in different ICT sector. Article presents result of own study on 345 SMEs of ICT sector in Poland.
Stable Numerical Method for Singularly Perturbed Boundary Value Problems with Two Small Parameters

Stable numerical method for singularly perturbed boundary value problem with two small positive parameters is presented. Given problem is converted into asymptotically equivalent boundary value problem. Then, using the finite difference approximations, the obtained differential equation is transformed to a three-term recurrence relation. The stability and convergence of the method have been established. To validate the applicability of the proposed method, three examples have been considered and solved for different values of perturbation parameters. Both theoretical error bounds and numerical rate of convergence have been established for the method. The numerical results have been presented in tables and graphs, as it can be observed from the numerical results, the present method approximates the exact solution very well. Moreover, the present method gives better results than some existing numerical methods reported in the literature.
Accuracy of self-reported height, body mass and derived body mass index in a group of United States law enforcement officers

Height and body mass data is often self-reported by study participants. However, the accuracy of self-reported height and body mass data compared to these same measures collected by researchers is unknown. The purpose of this study was to compare the accuracy of self-reported height and body mass data to measured values within the US law enforcement population, and the impact these estimations have on the accuracy of BMI classifications. METHODS: Self-reported and measured height and body mass data for thirty-three (n = 33) male law enforcement officers (age: 40.48 ± 6.66 yrs; measured height: 180.42 ± 6.87 cm; measured body mass: 100.82 ± 19.86 kg) were utilized for this analysis. RESULTS: Paired samples t-tests revealed no significant differences in estimated and measured height (p=.830), body mass (p = .527) or BMI (p = .623). CONCLUSION: Self-reported height and body mass was accurate for calculating BMI within this population sample.
An Efficient Approach for the Synthesis of Large Sparse Planar Array

An innovative noniterative approach based on the matrix enhancement and matrix pencil (MEMP) is proposed for the synthesis of arbitrary sparse planar arrays. In this study, the estimation of array parameters is recast as a 2-D pole extraction problem, and the number of array elements is minimized by the reduced rank processing. Subsequently, the Hankel matrix decomposition algorithm is exploited to accelerate the singular value decomposition (SVD) of the Hankel matrix constructed by the desired pattern samples, which conquers the restriction on the matrix dimension of the sampled Hankel matrix with the increasing of the number of array elements. The MEMP approach is further extended to the synthesis of shaped-beam patterns by using the forward–backward matrix enhancement and matrix pencil method (FBMEMP). A set of representative numerical experiments is provided to validate the effectiveness and advantages of the proposed method.
Polydimethylsiloxane as a Potential Antenna Substrate

Polydimethylsiloxane as a Potential Antenna Substrate A.A. Bakara,∗, F. Hasnan, A.R. Razali, A.F. A. Rahim, M.S. Osman, T. Ali and R. Radzali Faculty of Electrical Engineering, Universiti Teknologi Mara Pulau Pinang, 13500 Permatang Pauh, Pulau Pinang, Malaysia Faculty of Chemical Engineering, Universiti Teknologi Mara Pulau Pinang, 13500 Permatang Pauh, Pulau Pinang, Malaysia Faculty of Electrical Engineering, Universiti Teknologi Mara , 40450 Shah Alam, Malaysia
Cloud IoT as a Crucial Enabler: a Survey and Taxonomy

Commonly, the technology of information scales by an order of magnitude and with high probability reinvents itself every five years or so. However, the long-standing dream has definitely become a reality today that saying you need merely a credit card to get on-demand instant accesses to a large pool of thousands, if not millions of computers founded in tens of data centers scattered across the globe. As a matter of fact, Cloud Computing is indeed a new radical paradigm shift that evolved out of utmost needs for hosting and delivering all the things electronically as well-defined services over the Internet. Its aim is not only to provide improved computerized services but also innovative ones to every user from ordinary-home end-users to professional workers. Another further long-held dream of computing that has recently emerged as a reality is the CloudIoT paradigm where the cloud-based application platforms are enhanced to generate smart decisions and usable intelligence based on Internet-connected semi-autonomous smart small sensors that can sense, interrupt, and interchange data between each other as well as with the same computing clouds. With the intention of reaching the right cloud computing vision, it is, however, insufficient to just track a set of research and development actions that address the major concerns without practical support from both industrial and research communities. Rather, there is a necessity to enact a series of insight development strategies and policies that not only ensure that the right issues are well-timed addressed, but also that the most appropriate actions are taken and accomplished. Additionally, one of the key points to consider in this paper is that this in-depth evaluation of using Cloud computing may find points lacking in the cloud environments that could open up new research opportunities to be further investigated or enable new speed-to-market scenarios.
Meta-Analysis of Present-Bias Estimation Using Convex Time Budgets

We examine 220 estimates of the present-bias parameter from 28 articles using the Convex Time Budget protocol. The literature shows that people are on average present-biased, but estimates exhibit substantial heterogeneity across studies. There is evidence of modest selective reporting in the direction of over-reporting present bias. The primary source of heterogeneity is the type of reward, either monetary or non-monetary, but this effect is weakened after correcting for selective reporting. In studies using monetary rewards, the delay until the issue of the reward associated with the ‘current’ time period influences estimates of the present-bias parameter.
DS Andromedae: A Detached Eclipsing Double-lined Spectroscopic Binary in the Galactic Cluster NGC 752

The Wilson–Devinney program has been used to analyze well-calibrated photometric and new radial velocity data to determine the properties and distance of DS Andromedae, a 1.01 day period, double-lined, totally eclipsing binary system of early-F spectral type and a likely member of the intermediate-age open cluster NGC 752. The determinations of many of the system elements including the distance are robust against modest changes in model assumptions. Third light is present in all passbands at the 10% level. The weighted means of the best-fitting model yield a distance of 477 ± 4 ±12 pc, equivalent to (m – M)0 = 8.390 ± 0.018 ± 0.060 mag, and masses of 1.655 ± 0.003 ± 0.030 MSun and 1.087 ±0.005 ± 0.040 MSun, radii of 2.086 ± 0.003 ± 0.013 and 1.255 ± 0.005 ± 0.012 RSun, and effective temperatures 7056 ± 21 ± 140 RSun and 5971 ± 33 ± 130 K, for components 1 and 2, respectively, where the formal internal uncertainties are followed by conservatively estimated systematic errors. Possible but less satisfactory semidetached models produce more parameter variations and larger mean residuals. The primary star is seen to be at or very close to the main-sequence turnoff at an age of 1.55 ± 0.05 Gyr but appears to be too small for its mass, whereas the secondary appears to be too luminous for its temperature and too large for its mass compared to models of single stars.
The Comparison of Item Parameters Estimated From Parametric and Nonparametric Item Response Theory Models in Case of The Violance of Local Independence Assumption

Item response theory(IRT) has so many advantages than its precedent Classical Test Theory(CTT) such as non-changing item parameters, ability parameter estimations free from the items. However, in order to get these advantages, some assumptions should be met and they are; unidimensionality, normality and local independence. However, it is not always so easy to be met these assumptions by datasets. Especially when the normality of data is not provided, another approach for IRT can be applied, which is Non-Parametric Item Response Theory (NIRT). NIRT provides more flexible methods to scale datasets and it is used when the assumptions of Parametric Item Response Theory (PIRT) are not met at a satisfactory level. The assumption of local independence, is one of the situations in which NIRT can be used more effectively than PIRT. In this study, by using a real dataset, taken from TIMSS 2011, the effect of local dependence on the item parameters was investigated. With this goal, a dataset composed of 1,000 students was formed randomly from the TIMSS 2011 eight grade Mathematic test. Firstly, the item parameters were calculated from data set according to the two approaches without any manipulation. After that, two items were arranged as local dependent by changing the response patterns completely the same and the item parameters have been estimated from each sample by using R program, ltm and mokken packages. Two sets of item parameters estimated from data set were compared and the differences of the parameters were analyzed with statistical test. By this way, the effect of local independence has been analyzed on the item parameters have been decided.
The Influences of Arctic & North Atlantic Oscillations on Temperature and Precipitation Data of Eastern and Northern Marmara

Arktik Salinim (AO) ve Kuzey Atlantik Salinimi (NAO) ozellikle Kuzey Yarimkure’de etki alanina sahip olan tele baglantilardan iki tanesidir. Bu calismanin amaci, AO ve NAO ile Turkiye’de Marmara Bolgesi’nin sicaklik ve yagis rejimi arasindaki iliskiyi ortaya koymak ve AO ve NAO’nun etkilerinin kiyaslanmasidir. Bu baglamda, ilk olarak AO, NAO ve sicaklik, yagis arasindaki korelasyon katsayilari hesaplanmistir. Buna gore, AO ve sicaklik verisi arasinda kis ve sonbahar mevsimlerinde onemli negatif korelasyonlar elde edilmisken, diger mevsimlerde korelasyonlar cok dusuktur. Buna ilave olarak, AO ve yagis arasindaki en onemli iliski kis mevsiminde ve kismen yillik olarak bulunmustur. NAO ve sicaklik arasindaki iliskide ise, en onemli korelasyonlar yaz mevsiminde ve kismen ilkbaharda gorulmustur. Ayrica, NAO ve yagis arasindaki iliski Marmara Bolgesi’nin genelinde degiskenlik gostermektedir. Yillik olarak, negatif korelasyonlar bolgenin buyuk bir kisminda onemlidir. Kis ve sonbahar mevsimlerinde ise korelasyonlar sirasiyla Trakya’da ve Dogu Marmara’da onemlidir. Son olarak, sicaklik ve yagis farklari AO ve NAO’nun negatif fazlari goz onune alinarak hesaplanmistir. Sicaklik verisi icin AO (-), NAO (-) etkisi altindaki sicaklik degerlerinin, AO (+), NAO (+) etkisi altindaki sicaklik degerlerinden genellikle daha fazla oldugu fark edilmistir. Fakat yagis verisi ve atmosferik indislerin fazlari arasindaki iliskinin daha karmasik oldugu gorulmustur.
Robust adaptive fault-tolerant control for time delay uncertain nonlinear systems with time-varying performance bounds

In this paper, a robust adaptive fault tolerant controller guaranteeing with time-varying performance bounds is designed for a class of time delay uncertain nonlinear systems subject to actuator failures and external disturbance. The influence of time delay on the system is mitigated and the system performance can be guaranteed by introducing a positive nonlinear control gain function and the generalised restricted potential function. A new method with more design degrees of freedom is developed to ensure the norm of the system state within a-priori, user-defined time varying performance bounds. Using the online estimation information provided by adaptive mechanism, a robust adaptive fault-tolerant control method guaranteeing time varying performance bounds is proposed. It is shown that all the signals of the resulting closed-loop system are bounded and the system state less than a-priori, user-defined performance bounds. Finally, simulation results are given to demonstrate the efficacy of the proposed fault-tolerant control method.
Large-Scale Multibaseline Phase Unwrapping: Interferogram Segmentation Based on Multibaseline Envelope-Sparsity Theorem

Multibaseline (MB) phase unwrapping (PU) is a critical processing step for the MB synthetic aperture radar interferometry (InSAR). Compared with the traditional single-baseline (SB) PU, MB PU has wider application scope on the study area with strong phase variation, because it can overcome the limitation of the Itoh condition. Since most of the MB PU methods need to process multiple interferograms simultaneously, the size of the input interferograms will pose unique challenges when it exceeds the limit of computational capabilities. Until now, the research achievements related to large-scale (LS) MB PU have been quite limited. To deal with such case, we propose a technique for applying the two-stage programming-based MB PU method (TSPA) proposed by Yu and Lan to the LS MB InSAR data set in this paper. To be specific, the MB $L^\kappa $ -norm envelope-sparsity theorem is proposed and proved first, which gives a sufficient condition to exactly guarantee the consistency between local and global TSPA solutions. Afterward, based on the MB $L^\kappa $ -norm envelope-sparsity theorem, we put forward an interferogram tiling strategy, whereby each LS interferogram in the input MB InSAR data set is partitioned into a set of several smaller sub-interferograms that can be unwrapped individually by TSPA in parallel or in series. Both theoretical analysis and experimental results show that the proposed tiling strategy is effective for the LS MB PU problem.
Utility of Hybrid Transferrin Binding Protein Antigens for Protection Against Pathogenic Neisseria Species

The surface transferrin receptor proteins from Neisseria gonorrhoeae have been recognized as ideal vaccine targets due to their critical role in survival in the human male genitourinary tract. Recombinant forms of the surface lipoprotein component of the receptor, transferrin binding protein B (TbpB), can be readily produced at high levels in the Escherichia coli cytoplasm and is suitable for commercial vaccine production. In contrast, the integral outer membrane protein, transferrin binding protein A (TbpA), is produced at relatively low levels in the outer membrane and requires detergents for solubilization and stabilization, processes not favorable for commercial applications. Capitalizing on the core β-barrel structural feature common to the lipoprotein and integral outer membrane protein we engineered the lipoprotein as a scaffold for displaying conserved surface epitopes from TbpA. A stable version of the C-terminal domain of TbpB was prepared by replacing four larger exposed variable loops with short linking peptide regions. Four surface regions from the plug and barrel domains of Neisseria TbpA were transplanted onto this TbpB C-lobe scaffold, generating stable hybrid antigens. Antisera generated in mice and rabbits against the hybrid antigens recognized TbpA at the surface of Neisseria meningitidis and inhibited transferrin-dependent growth at levels comparable or better than antisera directed against the native TbpA protein. Two of the engineered hybrid antigens each elicited a TbpA-specific bactericidal antibody response comparable to that induced by TbpA. A hybrid antigen generated using a foreign scaffold (TbpB from the pig pathogen Haemophilus parasuis) displaying neisserial TbpA loop 10 was evaluated in a model of lower genital tract colonization by N. gonorrhoeae and a model of invasive infection by N. meningitidis. The loop 10 hybrid antigen was as effective as full length TbpA in eliminating N. gonorrhoeae from the lower genital tract of female mice and was protective against the low dose invasive infection by N. meningitidis. These results demonstrate that TbpB or its derivatives can serve as an effective scaffold for displaying surface epitopes of integral outer membrane antigens and these antigens can elicit protection against bacterial challenge.
Geometrically Stochastic FDTD Method for Uncertainty Quantification of EM Fields and SAR in Biological Tissues

This paper presents a stochastic scheme called geometrically stochastic finite-difference time domain (GS-FDTD) to insert the statistical variation of model geometry directly into the FDTD method. Both 1-D and 2-D GS-FDTD formulations are presented. The method is utilized to investigate the impact of tissue size variation on the calculated EM fields in 1-D and 2-D layered and cylindrical biological models. In addition, we assess the specific absorption rate (SAR) variance in a 2-D slice of a human head model at 835 MHz with the size of the outer layer consisting of skin, ear, and nose varying ±10%. Also, an improved method of calculating SAR variance is presented. The results are verified using the Monte Carlo technique.
PENGEMBANGAN MEDIA POP-UP BOOK UNTUK MATA PELAJARAN IPA BAB SIKLUS AIR DAN PERISTIWA ALAM SEBAGAI PENGUATAN KOGNITIF SISWA

Media pop-up book merupakan opsi media yang dapat dikembangkan untuk memberikan variasi pembelajaran. Penelitian pengembangan ini berujud untuk membuktikan bahwa media pop-up book yang dikembangkan valid dan layak membantu sepanjang proses pembelajaran di SD Tegal Besar 1 Jember. Model pengembangan yang diaplikasikan pada observasi ini adalah model Dick & Carey. Produk pengembangan ini dikatakan valid dengan perolehan tingkat kevalidan dari ahli media sebesar 96,59%, dari ahli materi sebesar 97,36%, dan angket responden sebesar 98,14%. Selain itu berlandaskan hasil uji coba siswa saat media belum diimplementasikan dan setelah menggunakan media didapati pertambahan rata-rata sebesar 40,37%. Siswa juga merasa senang sepanjang proses pembelajaran berlangsung. Siswa menjadi mudah diatur dan lebih fokus terhadap materi yang disajikan. Bersumber pada hasil pengembangan, alat bantu yang dikembangkan memberikan imbas pada hasil belajar siswa.