Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental and numerical analysis of fluid-solid-thermal coupling on electric fuel pump

This paper designs an axial partition fuel cooling shell to solve the problem of temperature rise in the motor of the electric fuel pump (EFP). And describes a simplified method in conjunction with the computational fluid dynamics(CFD) to analyze heat generations and fuel cooling effects in integrated EFPs. Furthermore, CFD is used to numerically simulate the coupling effects among the fluid-solid-thermal based on multiple physical field. With varying different working conditions of the pump, cooling characteristics of the fuel cooling shell are obtained through CFD results. Finally, an experimental system for the EFP is established to verify reliability of the simplified method and the effectiveness of the fuel cooling scheme. Results show that fuel cooling shell plays an essential role in heat dissipating, with a maximum reduction of up to approximately 42 K in temperature. Temperature error between simulations and experiments is less than 4%, which indicates reliabilities of the simplified model and fuel cooling shell.
Tectonic Regimes Inferred From Clustering of Focal Mechanisms and Their Distribution in Space: Application to the Central Mediterranean Area

The study of the kinematics and stress field related to seismicity makes an important contribution to the understanding of tectonic processes. In this kind of analysis, a crucial issue is identifying seismically homogeneous areas, which implies data classification and cluster creation. We present an approach that combines unsupervised learning techniques in order to reveal patterns in the focal mechanisms data set. In particular, a combination of two popular clustering algorithms, that is, self‐organizing maps and Fuzzy C‐means, was applied to focal mechanisms of events located in the Central Mediterranean region, characterized by a complex geodynamic framework. The analysis allowed identifying eight groups of focal mechanisms and their spatial distribution in the crust, and revealing the tectonic style of key sectors of southern Italy and of the neighboring offshore areas. A compressive regime was found between the lower Tyrrhenian Sea and southeastern Sicily, whereas extension prevails along the Calabrian Arc and the southern Apennines. A NW‐SE transcurrent faulting between the Aeolian Islands and the Ionian Sea forms a transfer zone between these two domains.
Synthesis of novel thiazolidin-4-ones by reaction of malonthioamide derivatives with dimethyl acetylenedicarboxylate

Novel 2,5-dimethylenethiazolidin-4-one derivatives have been prepared by reaction of malonthioamide derivatives with dimethyl acetylenedicarboxylate. These compounds exist as separate (E,Z)- and (Z,Z)-isomers or as a mixture. The (E,Z)-isomer is formed as the initial product which transforms to the (Z,Z)-isomer under mild conditions. The structures of the obtained compounds have been confirmed by IR and NMR spectroscopy.
Interval power flow calculation algorithm for multi‐terminal dc distribution networks considering distributed generation output uncertainties

An interval power ﬂow calculation (PFC) algorithm for multi-terminal DC distribution networks is proposed to handle the uncertainties of distributed generation output powers and loads. Firstly, an equivalent resistance is introduced to represent the effect of droop control in DC distribution networks. The power losses of the equivalent resistance are offset by adding the injection powers to droop nodes, which guarantees the precision of the equivalent resistance model. The Newton–Raphson method is used for deterministic PFC based on the equivalent resistance, and it is applicable to DC distribution networks with different kinds of network topologies and voltage source converter control modes. Secondly, based on the deterministic PFC algorithm and afﬁne arithmetic, an interval PFC algorithm is presented to handle the uncertainties of distributed generation output powers and loads. The afﬁne arithmetic based interval PFC algorithm not only can determine power ﬂow intervals quickly and accurately, but also can analyse the inﬂuences of distributed generation outputs to nodal voltages. Finally, a series of test systems are used to validate the proposed algorithms. Simulation results illustrate the accuracy and efﬁciency of the deterministic PFC algorithm and the interval PFC algorithm for multi-terminal DC distribution networks.
Nanoscale space charge generation in local oxidation nanolithography

We have measured the surface potential and the space charge generated during the first stages of atomic force microscopy field-induced oxidation. Space charge densities are about 1017 cm−3 for oxidation times below 10 ms. In a dry atmosphere, the surface potential is negative. However, in humid air the surface potential could be either positive or negative. This effect is attributed to a screening effect of the water molecules. These results explain and support the use of local oxidation patterns as templates for building molecular architectures. They also establish the space charge build up as an intrinsic feature in local oxidation experiments.
Game Predication of FIFA Football World Cup Based on Support Vector Machine

The purpose of this paper is to evaluate the state of the team through the player’s post-match scores and game data. the correlation of these indicators is very strong. Then SVM, a classic classification algorithm, is used to predict the winner of FIFA Football World and it has good classification performance. The results showed that SVM with gauss kernel suppressed that with linear kernel. The average score of all players in a team reflects the strength and state of the team. Using player ratings to predict game results is more accurate than using historical records and the relationship between team wins and losses.
Sentiment analysis of students’ attitudes toward mobile learning
 activities

In this research, students’ sentiments and emotions embedded in their learning journals are analyzed to understand their attitudes to mobile-based lessons as they progress during an English as a Foreign Language (EFL) course. Sentiment Analysis (SA) was utilized to extract emotions and sentiment throughout students’ learning experience, as expressed in their weekly online learner journals. The sentiment scores were generated from four sentiment dictionaries with different scales. The findings suggest that overall, the students had a positive sentiment and emotions toward mobile learning, consisting of anticipation, trust, joy, and surprise. The strongest negative emotion was fear, which may be explained by anxiety surrounding communication in a foreign language.
Rational synthesis of MnO2/conducting polypyrrole@carbon nanofiber triaxial nano-cables for high-performance supercapacitors

This study presents a rational synthesis of hierarchical MnO2/conducting polypyrrole (PPy)@carbon nanofiber (CNF) triaxial nano-cables via in situ interfacial redox reaction. Uniform MnO2/PPy multifunctional nanocoatings (∼20 nm) are formed on individual electrospun CNFs, constructing a one-dimensional triaxial configuration. The unique architecture enables a maximum value of the MnO2/PPy pseudocapacitance and a strong synergetic effect of each component. The specific capacitance of the ternary nanocomposite as a freestanding electrode reaches as high as 705 F g−1 at 2 mV s−1. The three-dimensional porous electrode facilitates a large mass loading of active materials up to 2.0 mg cm−2, which leads to a high areal capacitance of 1.4 F cm−2. The improved electrical conductivity and strong structural integrity of the nanocomposite also endow the electrodes with good rate capability and long-term cycling stability. The superior electrochemical performance indicates that this method is an effective strategy for developing multifunctional nanocomposite electrodes for energy storage devices.
Feasibility of NEO detection with a primary objective grating telescope

We explore a novel design for “Trip Wire Optics" (TWO), which is a near-Earth object (NEO) detection observatory, arising from the emerging technology of primary objective grating telescopy (the Dittoscope). The design consists of two Schmidt telescopes viewing a large transmission primary objective diffraction grating (POG) at large exodus angle, deployed in a ground based north-south orientation. This document serves to establish a baseline understanding of such an instrument, evaluating the system geometry, light collection efficiency, effects of atmospheric turbulence, and potential for NEO observation. While the atmospheric turbulence precludes diffraction-limited images, the Dittoscope design is no more effected than a conventional telescope and imager. We define a new figure of merit, modified etendue, to compare the light gathering power of a Dittoscope to that of a conventional telescope. We have not succeeded in creating a ground-based imaging survey that collects more light, as measured by modified etendue, with a POG than it did using the same two Schmidt telescopes with conventional imagers. However, the properties of the Dittoscope design differ from conventional surveys, and could potentially be scaled to enormous size. Our evaluation of the POG design suggests it would be more advantageous for applications that require large collection areas for small wavelength ranges (spectroscopy) or to achieve high resolution observations in space.
The Parkes Radio Telescope as a square kilometre array technology pathfinder

The Commonwealth Scientific and Industrial Research Organisation (CSIRO) Parkes Radio Telescope, Australia, has been in operation since 1961. It is a 64-metre parabolic antenna, with receiver systems capable of observing from 700-MHz to 26 GHz with bandwidths up to 3 GHz, and it is part of the CSIRO Australia Telescope National Facility (ATNF). Parkes has continued to be at the forefront of radio astronomy and technology research, having had many improvements, which enabled unprecedented surveys of atomic hydrogen in the Southern sky, and helped discover approximately half the known population of pulsars, as well as discovering Fast Radio Bursts. Parkes was recognised as a Square Kilometre Array (SKA) Pathfinder in 2016, on the basis of Phased Array and Wideband Feed technology development. I will present a summary of the current status of the capabilities, and its science yield, in the context of the developments of SKA oriented technology. This includes the ultra-wideband low frequency receiver, a high frequency counterpart, and a cyrogenically cooled phased array feed.
Adaptive secondary mirrors performance and reliability improvements at the Large Binocular Telescope

The adaptive secondary mirrors (ASMs), being an integral part of the telescope optical train, have huge advantages over other wave-front correctors. At the same time, because of this specific characteristic, high performance and high reliability is required from an ASM. In this paper, we report on algorithm/software developments at the Large Binocular Telescope designed to improve performance and reliability of the two 672-voice-coil-actuators ASMs. By making use of the ASMs telemetry, we are able to intervene when critical condition occurs, monitor the daily operation of the ASMs and review the long-term trends to plan future maintenance activities.
Planning for Nation Wide Dissemination of Robotics to SMEs

This paper describes how a special assignment from the Swedish government was carried out to support small and medium sized enterprises in implementing automation and robotics. The focus of this paper is to investigate i) how insights and knowledge has been transferred and ii) how the ability of integrators and advisors has been increased. Within the project Pilot project automation challenge in the robot leap (PILAR), 84 pre-studies and 40 indepth studies were carried out. In PILAR a methodology was developed, and a way of working was tested where coaches in four regionally defined nodes in Sweden visited companies and had advisor support through telephone and video. The project results indicate that insights and knowledge had been increased in several companies and that integrators and advisors have increased their ability to stimulate automation solutions. In addition, eight recommendations on how to successfully perform a nationwide dissemination of robotics is presented.
Design Of Primer And Probe To Detect SNP Rs 1892901 In Fosl-1Gene In Different Types Of Cancer In Iraqi Population

It has been shown that the etiology of thyroid, breast and prostate cancer is associated with hereditary and some environmental factors that cause damage to DNA. Protein coding genes are responsible for the development of protein and thus have been reported to be good candidate susceptibility genes for thyroid, breast and prostate cancer. (FOSL1) proteins have important functions in the growth, including the regulation of cell proliferation, differentiation and transformation. There have been studies of elevated levels of FOSL1 in cancers. However, the available methods for measuring FOSL1 levels are direct and quantitative using Poly Chain Reaction (RT-PCR) in real time. In the present study, whole blood was isolated from 100 individuals distributed into four groups as follows: Group 1 included: 25 samples from thyroid cancer patients; Group 2: 25 samples from breast cancer patients; Group 3: 25 samples from prostate cancer and Group 4:25 samples from apparently healthy individuals. The messenger RNA (mRNA) expression levels of FOSL_1in the peripheral blood was analyzed using reverse transcription polymerase chain reaction (RT PCR). The expression of FOSL_1 mRNA in the fold of gene expression in prostatic cancer group was 4 time higher than that of healthy group. That for the breast cancer group was 3 times higher than the healthy group and the thyroid cancer group was 3 times higher than the healthy group. , respectively, Using GAPDH as Housekeeping Gene. In conclusion, there is an important link between blood and tumor tissue expression of FOSL1 gene. in thyroid, breast and prostate cancer, could allow the introduction in clinical practice of a simple test that would measure mRNA levels of DNA protein coding genes in peripheral blood samples instead of tissue samples; thus justifying its use as a prognostic and predictive factors in thyroid, breast and prostate cancer patients.
#ad on Instagram: Investigating the Promotion of Food and Beverage Products

The recent rise in popularity of social networking sites has prompted modern-day food and beverage companies to switch their marketing objectives from the traditional top-down strategies to a peer-to-peer approach, utilizing social media influencers to promote products online. The current study investigated the promotion of food and beverage products on Instagram tagged with #ad. Findings of this study indicated that the majority of food and beverage products promoted were processed, premade, and not considered healthy in nature. In addition, the majority of authors did not list credentials on their Instagram pages thereby making it unaware if they were credible sources of nutrition information. An overall positive audience reaction to images suggests a low message resistance to food and beverage products advertised on Instagram. These findings support the implementation of policies targeted at online food and beverage marketers, as well as the further development of public health initiatives involving digital literacy education specific to food and beverage marketing.
Pre-convoluted neural networks for fashion classification

In this work, concept of the Fashion-MNIST images classification constructed on Convolutional neural networks is discussed. Whereas, 28 × 28 grayscale images of 70,000 fashion products from 10 classes, with 7,000 images per category, are in the Fashion-MNIST dataset. There are 60,000 images in the training set and 10,000 images in the evaluation set. The data has been initially pre-processed for resizing and reducing the noise. Then, this data is normalized for ensuring that all the data are on the same scale and this usually improves the performance. After normalizing the data, it is augmented where one image will be in three forms of output. The first output image is obtained by rotating the actual one; the second output image is obtained as acute angle image; and the third is obtained as tilt image. The new data set is of 180,000 images for training phase and 30,000 images for the testing phase. Finally, data is sent to training process as input for training model of the pre-convolution network. The pre-convolution neural network with the five layered convoluted deep neural network and do the training with the augmented data, The performance of the proposed system shows 94% accuracy where it was 93% in VGG16 and 92% in AlexNetnetworks.
Improving low‐density polyethylene/poly(ethylene terephthalate) blends with graft copolymers

Blends of low-density polyethylene (LDPE) and poly(ethylene terephthalate) (PET) were prepared with different weight compositions with a plasticorder at 240°C at a rotor speed of 64 rpm for 10 min. The physicomechanical properties of the prepared blends were investigated with special reference to the effects of the blend ratio. Graft copolymers, that is, LDPE-grafted acrylic acid and LDPE-grafted acrylonitrile, were prepared with γ-irradiation. The copolymers were melt-mixed in various contents (i.e., 3, 5, 7, and 9 phr) with a LDPE/PET blend with a weight ratio of 75/25 and used as compatibilizers. The effect of the compatibilizer contents on the physicomechanical properties and equilibrium swelling of the binary blend was investigated. With an increase in the compatibilizer content up to 7 phr, the blend showed an improvement in the physicomechanical properties and reduced equilibrium swelling in comparison with the uncompatibilized one. The addition of a compatibilizer beyond 7 phr did not improve the blend properties any further. The efficiency of the compatibilizers (7 phr) was also evaluated by studies of the phase morphology (scanning electron microscopy) and thermal properties (differential scanning calorimetry and thermogravimetric analysis). © 2008 Wiley Periodicals, Inc. J Appl Polym Sci, 2008
Lesions Detection of Multiple Sclerosis in 3D Brian MR Images by Using Artificial Immune Systems and Support Vector Machines

This paper presents a segmentation method to detect multiple sclerosis (MS) lesions in brain MRI based on the artificial immune systems (AIS) and a support vector machines (SVM). In the first step, AIS is used to segment the three main brain tissues white matter, gray matter, and cerebrospinal fluid. Then the features were extracted and SVM is applied to detect the multiple sclerosis lesions based on SMO training algorithm. The experiments conducted on 3D brain MR images produce satisfying results.
An ARDL investigation on the nexus of oil factors and economic growth: A timeseries evidence from Sultanate of Oman

Abstract The study is conducted to comprehend the relation of the oil sector with Oman’s economic growth. Oman is an abundant oil country, and the oil sector plays an influential part in its economic development. The data were gathered from a range of 1989 to 2018 from the National Center for Statistics and Information of Oman; it published the statistical year for variables including oil revenue, oil price, gross capital formation, total revenue, and production or export of Crude Oil. The data were analyzed with the help of the ARDL cointegration approach and Granger causality test. The results enlighten that economic performance is significantly affected by the oil price, crude oil production, and gross capital formation, and the total revenue and oil revenue insignificantly influence it. The impact of export has a substantial adverse influence on economic growth. The variables have long-run granger cause on each other while short-run causal bidirectional relation exists among economic performance, crude oil production, and export of Crude Oil. The study helps Oman’s Government understand the importance of the oil sector and aids in maintaining or forecasting the oil revenue and government spending to retain a stable economy.
Analytical description of the Lennard‐Jones fluid and its application

A simplified exponential (SEXP) approximation, combining the exponential approximation and the first-order mean spherical approximation, is proposed to improve the equation of state for the Lennard-Jones (LJ) fluid. The SEXP approximation, which can be implemented in an analytical manner, yields better radial distribution functions of the LJ fluid. Extensive comparisons with two typical perturbation theories show that the SEXP approximation is more appropriate to describe the behaviors of the LJ fluid. The latest 33-parameter modified Benedict-Webb-Rubin equation, also calculated, is inadequate in the region of phase coexistence. The SEXP approximation is applied to the calculation of methane properties with much better results than the Peng-Robinson equation of state for saturated liquid densities and second virial coefficients.
KEKERASAN SIMBOLIK PEREMPUAN VS PEREMPUAN SEBAGAI DAYA PIKAT FILM PENDEK ‘TILIK’ : SEBUAH AMBIVALENSI

Dunia maya Indonesia pada bulan Agustus 2020 dihebohkan dengan film pendek Jogja berjudul ‘Tilik’ yang diunggah di kanal Youtube lalu menjadi trending di Twitter. Film yang diproduksi oleh Ravacana Films bersama Dinas Kebudayaan DIY dengan didanai Dana Keistimewaan Yogyakarta (Danais) tahun 2018 ini berhasil merebut perhatian penonton di tengah aktivitas masyarakat yang tengah banyak dilakukan di rumah karena pandemi Covid-19. Film pendek ini bercerita tentang rombongan ibu-ibu di sebuah desa yang menaiki truk untuk pergi menjenguk Bu Lurah yang dirawat di rumah sakit kota. Sepanjang perjalanan menjenguk, Bu Tejo sebagai tokoh sentral mengumbar gosip tentang Dian, kembang desa yang muda dan cantik namun belum juga menikah. Berbagai narasi menjadikan Dian sebagai public enemy dengan meyakinkan bahwa tingkah lakunya sudah sangat meresahkan warga desa. Meminjam pemikiran Pierre Bourdieu, artikel ini mengurai relasi tidak setara melalui kekerasan simbolik dalam percakapan tokoh-tokoh dalam film Tilik. Kekerasan simbolik melalui bahasa dan dialog didukung oleh habitus patriarki, secara sadar maupun tidak telah memposisikan perempuan-perempuan dalam Tilik sebagai subordinat, artinya menampilkan perempuan vs perempuan sebagai sasaran praktik misogini. Uniknya, bentuk-bentuk kekerasan simbolik melalui gosip dan cek-cok dalam Tilik secara ambivalen justru viral diakui sebagai daya pikat yang menghibur sekaligus sebagai sebuah representasi dari realitas Ibu-ibu di desa. Keviralan ini kemudian seolah menjadi legitimasi Dinas Kebudayaan DIY untuk kembali memproduksi film dengan tema serupa. Akankah nantinya diproduksi film Tilik jilid 2
Does firm life cycle have impacts on managerial promotion tournament incentives?

We examine whether and how firm-level promotion tournament incentives for executives, measured by the pay gap between a chief executive officer (CEO) and non-CEO executives, vary in different corporate life-cycle stages. Results show that managerial tournament incentives are higher in growth and mature life-cycle stages than in introduction and decline stages. In additional analyses, we find that firms design compensation contracts for growth and mature life-cycle stages with a target to increase tournament incentives for non-CEO executives that induce managerial risk-taking behaviour, leading to high productivity and performance. JEL Classification: G30, M12