Miracle-dz/UniFAR-FTUs huggingface dataset:
Rheological properties and biscuit production from flour blends prepared from cereal based by-products

Tahil urunlerinin uretimi sirasinda kullanilan teknolojik yontemler fonksiyonel gida katkisi olarak kullanilabilecek farkli degirmencilik ara urunlerinin ayrilmasina olanak saglar. Bu yan urunler teknolojik performansi artirmak veya diyet lif, fenolikler ve antioksidanlar gibi sagliga yarayisli bilesenlerin gida formulasyonlarina eklenmesi amaci icin kullanilabilirler. Bu calismada; bugday, arpa, yulaf ve bulgur kepekleri, hashas kuspesi, ruseym gibi bircok tahil yan urunleri bugday ununa eklenmistir. Bugday ununun %10’u farkli tahil yan urunleri ile degistirilmistir. Un karisimlari ve kontrol numunesi sonrasinda Mixolab cihazinda standart “Chopin+” protokolu kullanilarak reolojik ozellikleri acisindan test edilmislerdir. Ayni un karisimlari biskuvi yapiminda kullanilmistir. Biskuvilerin Hunter L, a, b degerleri, yayilma orani, sertlik ve duyusal ozellikleri olculmustur. Su emme orani ve hamur gelisim zamani bu yan urunlerin eklenmesinden bir miktar etkilenmistir. Ruseym ilavesi disinda tahil yan urunlerinin una eklenmesi ile genellikle daha uzun hamur stabilitesi (3.35-11.22 dk) ve daha yuksek tork degerleri (C 2 0.38-0.052 Nm) elde edilmistir. Bu durum daha guclu hamur yapisinda isaret eder. Ruseym ilavesi disinda eklenen tahil yan urunleri cogunlukla biskuvi numunelerinin beyazligini, yayilma oraninin ve genel kabul edilebilirligini azaltmis; sertligini artirmistir.
Attributes Contributing to Students’ Use of Quality Software Development Practices

In 2001 the “McCracken group”, through a multi-institutional study, concluded that many students finishing their introductory programming courses could not program due to a lack of problem solving skills. In 2004 Lister established that students have a fragile grasp of skills to read and interpret code. Humphrey suggests that educators must shift their focus from the programs that the students create to the data of the processes the students use. This paper addresses the problem of poor performing students through an investigation of their quality appraisal techniques (QATs) and development processes. Firstly, a survey was conducted to determine the current software development practices used by a group of undergraduate Computer Science students. Numeric data collected revealed that the current practices used by the majority of students would not be sufficient to produce quality programs. Secondly, a case study was conducted to gain a deeper understanding of the various factors that are likely to influence students’ intention to use QATs. Analysis of numeric data collected through a survey revealed that students’ intentions to use QATs are driven by ease of use, compatibility, usefulness, result demonstrability, subjective norm and career consequences. Thirdly, an experiment was conducted to determine students’ perceptions on the use of process measurement data to improve their current software development practices. Analysis of numeric and narrative data revealed that performance measurement data could provide students with useful information to adopt proper development practices.
Model-Free Forward Screening Via Cumulative Divergence

Abstract Feature screening plays an important role in the analysis of ultrahigh dimensional data. Due to complicated model structure and high noise level, existing screening methods often suffer from model misspecification and the presence of outliers. To address these issues, we introduce a new metric named cumulative divergence (CD), and develop a CD-based forward screening procedure. This forward screening method is model-free and resistant to the presence of outliers in the response. It also incorporates the joint effects among covariates into the screening process. With a data-driven threshold, the new method can automatically determine the number of features that should be retained after screening. These merits make the CD-based screening very appealing in practice. Under certain regularity conditions, we show that the proposed method possesses sure screening property. The performance of our proposal is illustrated through simulations and a real data example. Supplementary materials for this article are available online.
Calibrating a camera focused on a long shot using a calibration plate and defocused corner points

Abstract. When focusing on a long shot, it is very difficult to calibrate a camera with high precision. We propose a method of obtaining a close shot of the calibration plate, extracting corner points from the defocused image of the calibration plate, and constructing a three-dimensional control point to calibrate the camera. We construct a defocused corner template and extract the corner points from the defocused image of the calibration plate using the normalized cross-correlation algorithm. Experimental results show that, after the camera has been calibrated by this method, the average pixel distance accuracy of the re-projected detection point pixel at 40 m reaches 1.9 pixels. The average spatial distance accuracy of the corresponding three-dimensional point reaches 2.1 mm.
The Effectiveness of Container Transfers at Temporary Storage Area in Tanjung Priok Port

This study aimed to know the difference between PT X and PT Y in the effectiveness of container transfer at Temporary Storage Area in Tanjung Priok Port. The study used documentation methods with secondary data. The samples were 2 companies with a 24-month observation period taken by census technique. The data then were analyzed using descriptive statistics and inferential statistics t-test. The results showed that there were significant differences in the number of containers that were successfully moved by PT X and PT Y. There was also a significant difference in the time of container transfer between PT X and PT Y. In conclusion, there was significant difference in the number of containers that have been successfully transferred and the time of the containers transfer between PT. X and PT. Y.
Tensor Network Wavefunctions for Topological Phases

Author(s): Ware, Brayden Alexander | Advisor(s): Bauer, Bela; Nayak, Chetan | Abstract: The combination of quantum effects and interactions in quantum many-body systems can result in exotic phases with fundamentally entangled ground state wavefunctions -- topological phases. Topological phases come in two types, both of which will be studied in this thesis. In topologically ordered phases, the pattern of entanglement in the ground state wavefunction encodes the statistics of exotic emergent excitations, a universal indicator of a phase that is robust to all types of perturbations. In symmetry protected topological phases, the entanglement instead encodes a universal response of the system to symmetry defects, an indicator that is robust only to perturbations respecting the protecting symmetry.Finding and creating these phases in physical systems is a motivating challenge that tests all aspects - analytical, numerical, and experimental - of our understanding of the quantum many-body problem. Nearly three decades ago, the creation of simple ansatz wavefunctions - such as the Laughlin fractional quantum hall state, the AKLT state, and the resonating valence bond state - spurred analytical understanding of both the role of entanglement in topological physics and physical mechanisms by which it can arise. However, quantitative understanding of the relevant phase diagrams is still challenging. For this purpose, tensor networks provide a toolbox for systematically improving wavefunction ansatz while still capturing the relevant entanglement properties.In this thesis, we use the tools of entanglement and tensor networks to analyze ansatz states for several proposed new phases. In the first part, we study a featureless phase of bosons on the honeycomb lattice and argue that this phase can be topologically protected under any one of several distinct subsets of the crystalline lattice symmetries. We discuss methods of detecting such phases with entanglement and without.In the second part, we consider the problem of constructing fixed-point wavefunctions for intrinsically fermionic topological phases, i.e. topological phases contructed out of fermions with a nontrivial response to fermion parity defects. A zero correlation length wavefunction and a commuting projector Hamiltonian that realizes this wavefunction as its ground state are constructed. Using an appropriate generalization of the minimally entangled states method for extraction of topological order from the ground states on a torus to the intrinsically fermionic case, we fully characterize the corresponding topological order as Ising x (p - i p). We argue that this phase can be captured using fermionic tensor networks, expanding the applicability of tensor network methods.
Extended Z-MABAC Method Based on Regret Theory and Directed Distance for Regional Circular Economy Development Program Selection With Z-Information

Decision makers (DMs) have different cognitive levels in practical experience, information reserve, and thinking ability. Thus, decision information is often not completely reliable. As a tool that can effectively represent information reliability, Z-number has been studied by many scholars in recent years. Current research on Z-number assumes that differences in various parts of a Z-number can complement one another. However, in many cases, the preference of DMs for each part is difficult to determine, or DMs believe that the differences in various parts cannot be complementary. Therefore, to solve such decision problems, this paper attempts to extend the traditional MABAC method to the Z-information environment by introducing the directed distance and regret theory. The proposed method simultaneously considers the randomness and fuzziness of Z-number. An example about regional circular economy development program selection is provided to illustrate the feasibility of the proposed method. Results show that the proposed method can solve complex decision problems rationally and effectively, and it has broad application prospects.
Overcoming Challenges of Electronic Collection Development in University Libraries: A Study of Three Nigerian University Libraries

The study determined strategies for overcoming the challenges associated with electronic collection development (ECD) in Nigerian university libraries. It employed a descriptive survey design. The total population of library respondents (Professionals and Paraprofessionals) used for this study was 208. Questionnaire and interviews were the instruments used to collect data for this study. The result of the study revealed that ECD is not yet very effective in Nigeria university libraries. The major factors militating against ECD as revealed by this study were inadequate funding for automation which is also at infancy level, poor technical knowhow, lack of higher bandwidth in Internet connectivity and lack of sound administrative policies and guidelines. The major strategies for overcoming the challenges include constant evaluation of automation facilities, adequate and regular systems upgrade, provision of skilled manpower and periodic and regular training of librarians and paraprofessionals in the use of modern information and communication technology facilities.
Ellipsometric Diagnostics of a Transient Surface Layer in Optical Glass

Optical properties of a transient layer with a broken structure that arises at the surface of optical glass at its treatment have been considered. Rather often, the surface of optical elements is considered to be perfect, although the actual inhomogeneous surface structure can have a significant effect for precision physical experiments or novel technological problems. Furthermore, the simulation of the surface layer structure and the corresponding optical characteristics, as well as the study of a possibility to determine those parameters from the results of optical researches, is also of theoretical interest, which is demonstrated in this work. Ellipsometric measurements of optical glass specimens with a broken surface layer are carried out. When modeling the angular dependences of the ellipsometric parameters tan ф and cos б, the near-surface specimen region is considered as a stack of 500 thin layers, and the matrix method of light reflection in this structure with regard for the interference phenomenon is used in calculations. Five models are tested for the optical profile of a nonuniform layer, whose parameters are fitted to achieve the minimum of the target function describing the discrepancy between the calculated and measured data. It is found that the theoretical models describe the optical properties of the specimens more accurately, if they make allowance for the inhomogeneous surface layer. Nevertheless, the solution of the inverse ellipsometric problem turns out ambiguous, so that additional measurements are required for the final choice of a model that would be adequate to the actual morphological structure of the broken layer to be made. However, the key advantage of the applied method consists in that it allows a direct registration of the optical response of the system.
Deep CNN for removal of salt and pepper noise

Image denoising is a common problem during image processing. Salt and pepper noise may contaminate an image by randomly converting some pixel values into 255 or 0. The traditional image denoising algorithm is based on filter design or interpolation algorithm. There exists no work using the convolutional neural network (CNN) to directly remove salt and pepper noise to the authors’ knowledge. In this study, they utilise CNN with the multi-layer structure for the removal of salt and pepper noise, which contains padding, batch normalisation and rectified linear unit. In training, they divide images into three parts: training set, validation set and test set. Experimental results demonstrate that the architecture can effectively remove salt and pepper noise for the various noisy images. In addition, their model can remove high-density noise well due to the extensive local receptive fields of the deep neural networks. Finally, extensive experimental results show that their denoiser is effective for those images with a large number of interference pixels which may cause misjudgement. In a word, they generalise the application of CNN to salt and pepper noise removal and obtain competitive results.
High-Order Numerical Simulation of Flapping Wing for Energy Harvesting

The energy harvesting performances of an isolated flapping wing and a tandem-flappingwing system are numerically studied using a high-order flux reconstruction method with sliding meshes. It is found that, even at a moderate Reynolds number, viscous force has negligible contribution to energy harvesting, while pressure has dominant effects. Meanwhile, heaving motion is noticed to play a more vital role in energy harvesting than pitching motion. Through flow field visualization, it is also observed that the effective angle of attack greatly alters leading edge and trailing edge vortices and in turn affects energy harvesting. The tandem-wing simulation reveals that, when well positioned, the system exhibits higher energy efficiency than an isolated wing under the same flow conditions.
A numerical study of the transitions of laminar natural flows in a square cavity

This paper deals with the numerical study of heat and mass transfer occurring in a cavity filled with a low Prandtl number liquid. The model includes the momentum, energy and mass balance equations. These equations are discretized by a finite volume technique and solved in the framework of a custom SIMPLER method developed in FORTRAN. The effect of the problem characteristic parameters, namely the Lewis and Prandtl numbers, on the instability of the flow and related solute distribution is studied for positive and negative thermal and solutal buoyancy forces ratio. Nusselt and Sherwood numbers are derived for values of the Prandtl number ranging between 10-2 and 101 with the Lewis number spanning the interval 1-104. The results show unicellular and multi-cellular flows featured by solute and kinematic boundary layers with thickness depending on the Prandtl number.
Neutrino processes with power law dispersion in the light of OPERA observations

We compute various processes involving neutrinos in the initial and/or final state and we assume that neutrinos have energy momentum relation with a general power law $E^2 =p^2+ \xi_n p^n$ correction due to Lorentz invariance violation. We find that for $n>2$ the bounds on $\xi_n$ from direct time of flight measurement are much more stringent than from constraining the neutrino Cerenkov decay process.
Lagrangian acceleration timescales in anisotropic turbulence

We present experimental Lagrangian measurements of tracer particle acceleration autocorrelation functions in an anisotropic and inhomogeneous ﬂow spanning the typical range of experimentally accessible Reynolds numbers. The large-scale forcing of the ﬂow creates a stagnation point topology where straining motion governs the anisotropic velocity and acceleration ﬂuctuations. We show that the timescales of the acceleration components remain anisotropic at high Reynolds numbers and that they are related to the dissipative timescale by the Lagrangian structure function scaling constants C 0 and a 0 , as well as C (cid:2) 0 , which is shown to be kinematically related to the velocity increments. The proposed scaling relation is supported by observations using experimental Lagrangian trajectory data sets and analytical calculations using a jointly Gaussian two-time stochastic model. Examination of acceleration power spectra show that acceleration ﬂuctuations become isotropic in the dissipative range, which suggests that the acceleration timescale is determined not only by small scales, but also by large and anisotropic scales whose contributions are substantial, even in the high Reynolds number limit.
PENGARUH LIKUIDITAS, STRUKTUR AKTIVA DAN PERTUMBUHAN PENJUALAN TERHADAP PROFITABILITAS YANG DIMEDIASI OLEH STRUKTUR MODAL PADA PERUSAHAAN SUB SEKTOR PERKEBUNAN YANG TERDAFTAR DI BURSA EFEK INDONESIA

Penelitian ini bertujuan untuk menganalisis pengaruh likuiditas, struktur aktiva dan dan pertumbuhan penjualan terhadap profitabilitas perusahaan dengan peran struktur modal sebagai mediator. Populasi dalam penelitian ini adalah perusahaan sub sektor perkebunan yang terdaftar di Bursa Efek Indonesia. Teknik pengambilan sampel menggunakan teknik purposive sampling, Kriteria yang ditentukan adalah perusahaan sub sektor perkebunan yang mempublikasikan laporan keuangan secara lengkap selama periode 2013-2017. Data laporan keuangan diperoleh dari website Bursa Efek Indonesia. Metode analisis data adalah analisis regresi linear berganda. Pengujian hipotesis menggunakan uji-t, uji-F, uji Sobel. Hasil penelitian menunjukkan bahwa likuiditas dan struktur modal berpengaruh secara langsung terhadap profitabilitas. Struktur aktiva dan pertumbuhan penjualan tidak berpengaruh langsung terhadap profitabilitas. Struktur modal dapat berperan dalam memediasi pengaruh likuiditas, struktur aktiva dan pertumbuhan penjualan terhadap profitabilitas.
Starbursts triggered by intergalactic tides andinterstellar compressive turbulence

Using parsec-resolution simulations of a typical galaxy merger, we study the triggering of starbursts by connecting the (inter-)galactic dynamics to the structure of the interstellar medium. The gravitational encounter between two galaxies enhances tidal compression over large volumes, which increases and modifies the turbulence, in particular its compressive mode with respect to the solenoidal one. This generates an excess of dense gas leading to intense star formation activity. Along the interaction, the compressive turbulence modifies the efficiency of gas-to-star conversion which, in the Schmidt–Kennicutt diagram, drives the galaxies from the sequence of discs to that of starbursts.
Improving the McClear model estimating the downwelling solar radiation at ground level in cloud-free conditions – McClear‑v3

The fast McClear clear-sky model estimates the downwelling shortwave direct and diffuse irradiances received at ground level under cloud-free conditions. Several improvements are presented. They focus on the modeling of changes in irradiances with the solar zenithal angle and on a better exploitation of the aerosol properties offered by the Copernicus Atmosphere Monitoring Service (CAMS). Irradiances from this new version McClear-v3 were compared to 1 min measurements made in cloud-free conditions at 11 stations belonging to the Baseline Surface Radiation Network and being located in various climates. The correlation coefficient ranges between 0.982 and 0.999 for the global irradiance. The bias is positive (overestimation) and ranges between 1 W m −2 (0.1 % of the mean observed irradiance) and 20 W m −2 (3.2 %), with the exception of Barrow in Alaska (18 W m −2). The standard deviation ranges between 16 W m −2 (2.3 %) and 30 W m −2 (3.8 %). The correlation coefficient for the direct irradiance ranges between 0.902 and 0.995. As expected, since the direct in McClear does not comprise any circumsolar contribution, the bias is negative (underestimation) and ranges between 49 W m −2 (7.7 %) and 5 W m −2 (0.7 %), with two exceptions: Sede Boqer (79 W m −2) and Brasilia (13 W m −2). The standard deviation is comprised between 34 W m −2 (5.3 %) and 69 W m −2 (10.7 %). These results are similar to those obtained with McClear version 2. Compared to the latter, McClear-v3 removes several artifacts and its estimates are continuous in space and time.
Large-scale environments of binary AGB stars probed by Herschel: II. Two companions interacting with the wind of π 1 Gruis

Context. The Mass loss of Evolved StarS (MESS) sample observed with PACS on board the Herschel Space Observatory revealed that several asymptotic giant branch (AGB) stars are surrounded by an asymmetric circumstellar envelope (CSE) whose morphology is most likely caused by the interaction with a stellar companion. The evolution of AGB stars in binary systems plays a crucial role in understanding the formation of asymmetries in planetary nebulae (PNe), but at present, only a handful of cases are known where the interaction of a companion with the stellar AGB wind is observed. Aims. We probe the environment of the very evolved AGB star π 1 Gruis on large and small scales to identify the triggers of the observed asymmetries. Methods. Observations made with Herschel/PACS at 70 μm and 160 μm picture the large-scale environment of π 1 Gru. The close surroundings of the star are probed by interferometric observations from the VLTI/AMBER archive. An analysis of the proper motion data of Hipparcos and Tycho-2 together with the Hipparcos Intermediate Astrometric Data help identify the possible cause for the observed asymmetry. Results. The Herschel/PACS images of π 1 Gru show an elliptical CSE whose properties agree with those derived from a CO map published in the literature. In addition, an arc east of the star is visible at a distance of 38 �� from the primary. This arc is most likely part of an Archimedean spiral caused by an already known G0V companion that is orbiting the primary at a projected distance of 460 au with a period of more than 6200 yr. However, the presence of the elliptical CSE, proper motion variations, and geometric modelling of the VLTI/AMBER observations point towards a third component in the system, with an orbital period shorter than 10 yr, orbiting much closer to the primary than the G0V star.