Miracle-dz/UniFAR-FTUs huggingface dataset:
Research and Application of Knowledge Graph in Teaching: Take the database course as an example

With the rapid development of technologies such as artificial intelligence and deep learning, education informatization has entered the 2.0 era with artificial intelligence as the main feature. As an important part of artificial intelligence technology, knowledge graph provides possibilities for smart education and promotes the innovation and development of smart education. At this stage, the core concepts and knowledge systems of some computer science disciplines need further clarification and improvement. Using a large amount of course-related information to construct an educational knowledge graph, processing and analyzing the knowledge points in the course, extracting the knowledge entities and effectively integrating them, can greatly help to clarify the knowledge system of the subject. The improvement of the teaching quality of this subject is of great significance. Therefore, this paper selects the construction of educational knowledge graph as research content, and uses database courses as examples of graph construction for research. The BIO tagging method is used to construct the database subject dataset, at the same time, it builds knowledge card based on educational knowledge graph to achieve database teaching wisdom, systematic teaching content, integration of knowledge fragments and improve the quality of learning.
Preliminary investigation of Industry 4.0 readiness among small and medium aviation companies in Malaysia

In recent years, the wave of Industry 4.0 is seen to encroach into the Malaysian aviation industry especially among major aviation companies. However, the Industry 4.0 readiness among small and medium aviation companies is virtually unknown. This study aimed to conduct a preliminary investigation on the Industry 4.0’s readiness level among small and medium aviation companies. Multiple case study has been conducted over 4 aviation companies (1 chartered airlines, and 3 maintenance, repair and overhaul (MRO) companies) operating in Malaysia. Data was collected using qualitative interview with managers of the respective companies and analysed using content analysis. Finding shows that the Industry 4.0 readiness status of small and medium aviation companies are still at the embryonic stage. The practical implication of this study contributes to the understanding of rising need for government agencies’ supports to assist the small and medium aviation companies particularly in overcoming the Industry 4.0 implementation challenges. The purposive sampling and the small number of samples limit the generalizability of the findings. Hence, full fledge empirical study is suggested to be conducted to facilitate the generalization to the whole aviation population.
PET/CT Image Artifacts Caused by the Arms

PET/CT images are usually obtained in the arms-up position in patients with no head and neck pathology and in the arms-down position to image the head and neck area. The arms usually cause artifacts regardless of up or down positioning. These artifacts include beam hardening, scatter, truncation, and cold areas (cold artifacts) in obese or large patients; motion artifacts; implanted-metal-object artifacts; and artifacts related to radiotracer extravasation at the injection site. In this review article, we will discuss the mechanisms of these artifacts and suggest solutions to reduce or eliminate them, such as reviewing the non–attenuation-corrected PET images, performing extended-field-of-view reconstruction, not applying scatter correction, and using software to correct beam-hardening, scatter, and truncation artifacts. We will present various PET/CT images before and after corrections for such artifacts.
Octave Residual Network for Image Motion Deblurring

Image motion deblurring technology is an essential topic. Traditional methods with a high algorithm complexity when estimating the blur kernel require a lot of calculations. To solve this problem, we proposed Octave convolution residual block, and proposed Octave Residual Network (ORN) based on this block. ORN is a Generative Adversarial Networks, where the generator is a multi-scale recurrent network, and the discriminator is a deep neural network. ORN restore sharp images in an end-to-end manner where blur is caused by various sources. We present multi-scale loss function that mimics conventional coarse-to-fine approaches. To verify the validity of ORN, we trained our model on GOPRO dataset, the peak signal-to-noise ratio (PSNR) of the model reached 30.04, and the operation time of each step is reduced by 0.04 seconds. Experimental results show that our method achieves the state-of-the-art performance of image motion deblurring not only in performance but also in training speed.
Experimental study on high-temperature stability of rubber powder-modified Asphalt mixture

Waste rubber powder-modified asphalt can not only improve the asphalt pavement performance but can also solve the environmental pollution problem caused by waste tires. In this paper, through rutting tests, the effects of three different factors, the rubber powder content, rubber powder mesh number, and hydrogen peroxide content, on high-temperature stability of the mixture are systematically studied. The results reveal that the optimum rubber powder mesh is 60 mesh and the best rubber powder content is 21% for high-temperature stability of a rubber-modified asphalt mixture. At the same time, hydrogen peroxide can improve the high-temperature stability of the asphalt mixture.
A Kohonen SOM Architecture for Intrusion Detection on In-Vehicle Communication Networks

The diffusion of connected devices in modern vehicles involves a lack in security of the in-vehicle communication networks such as the controller area network (CAN) bus. The CAN bus protocol does not provide security systems to counter cyber and physical attacks. Thus, an intrusion-detection system to identify attacks and anomalies on the CAN bus is desirable. In the present work, we propose a distance-based intrusion-detection network aimed at identifying attack messages injected on a CAN bus using a Kohonen self-organizing map (SOM) network. It is a power classifier that can be trained both as supervised and unsupervised learning. SOM found broad application in security issues, but was never performed on in-vehicle communication networks. We performed two approaches, first using a supervised X–Y fused Kohonen network (XYF) and then combining the XYF network with a K-means clustering algorithm (XYF–K) in order to improve the efficiency of the network. The models were tested on an open source dataset concerning data messages sent on a CAN bus 2.0B and containing large traffic volume with a low number of features and more than 2000 different attack types, sent totally at random. Despite the complex structure of the CAN bus dataset, the proposed architectures showed a high performance in the accuracy of the detection of attack messages.
Domestic Organic Rankine Cycle-Based Cogeneration Systems as a Way to Reduce Dust Emissions in Municipal Heating

Environmental issues are nowadays of great importance. In particular air and water quality should be kept at as high levels as possible. Energy conversion systems and devices which are applied for converting the chemical energy contained in different fuels into heat, electricity and cold in the industry and housing are sources of different gases and solid particle emissions. Medical data show PM2.5 dust in particular is highly dangerous for human health. Therefore, limiting the number of low-quality fuel combustion processes is a key issue of modern energy policy. Statistical data show that domestic heating systems account for a large share of the total emissions of PM2.5 and PM10 dust. For example in Poland in 2017, the share of households in the total annual emissions of PM2.5 dust was equal to ca. 35.8%, while the share of PM2.5 emission in industry (i.e., power generating plants, industrial power plants and technologies) was equal to only 23.6%. A possible way of solving this problem is by the successful replacement of old domestic furnaces by combined heat and power (CHP) or multigeneration boilers which can be used for heating the rooms and sanitary water and generating electricity and cold. Such systems can possibly contribute in the future to significant reductions of dust emissions and air pollution in urban and rural areas by limiting the number of low-quality fuel combustion processes. This article presents design considerations and experimental results related to a domestic micro-CHP unit which is based on organic Rankine cycle (ORC) technology. The main aim of the design works and experiments was therefore the analysis of the possibility of integrating the ORC system with a standard domestic central heating gas-fired boiler. The specially designed micro-ORC system was implemented in the laboratory and experiments were performed using this test stand. The main design aims of the test-stand were: low operating pressure, small working fluid flow, low price and compact dimensions. To meet these aims, volumetric machines were chosen as the expander and working fluid pump. The experimental results were positive and show that it is possible to integrate an ORC system with a standard domestic central heating gas boiler. For different heat source temperatures, the obtained expander power ranged from 109 W to 241 W and the thermodynamic cycle efficiency ranged from 4.3% to 8.8%. These positive research results were achieved partly thanks to the positive features of the different system subassemblies.
A 4-mW Temperature-Stable 28 GHz LNA with Resistive Bias Circuit for 5G Applications

This paper presents a low power two-stage single-end (SE) 28 GHz low-noise amplifier (LNA) in 90 nm silicon-on-insulator (SOI) CMOS technology for 5G applications. In this design, the influence of bias circuit is discussed. The 1200 Ω resistor which was adopted in bias circuit can feed DC voltage as well as keep whole circuit unconditionally stable. The gate bias points are set to 0.55 V to make the circuit low-power and temperature-stable. Measurement results illustrated that the LNA achieved a maximum small signal gain of 18.1 dB and an average 3.1 dB noise figure (NF) in operating frequency band. Measured S11 was below −10 dB between 25 GHz and 29 GHz and reverse isolation S12 was below −25 dB throughout the band. It consumed only 4 mW by proper selection of bias point with core area of 0.16 mm2 without pads. The fabricated LNA has demonstrated a gain variation of 3 dB and a NF variation of 1.9 dB from −40 °C to 125 °C with power variation of 0.8 mW. It suggests that the proposed SOI CMOS LNA can be a promising candidate for 5G applications.
SPECT with a multi-bang assumption on attenuation

We consider the identification problem which arises in single photon emission computed tomography (SPECT) of joint reconstruction of both attenuation a and source density f. Assuming that a takes only finitely many values and f∈Cc1(R2) we are able to characterise singularities appearing in the attenuated Radon transform R a f, which models SPECT data. Using this characterisation we prove that both a and f can be determined in some circumstances from R a f. We also propose a numerical algorithm to jointly compute a and f from R a f based on a weakly convex regularizer when a only takes values from a known finite list, and show that this algorithm performs well on some synthetic examples.
The role of extrinsic variation—cohabiting juvenile fish species exhibit similar otolith elemental signatures

The effect of extrinsic (environmentally based) and intrinsic (physiologically based) controls on otolith elemental signatures remains poorly understood. We evaluated the relative importance of both extrinsic and intrinsic factors using juvenile fish in Eastern Tropical Pacific (ETP) mangroves. To assess extrinsic influences, we compared the cohabiting yellow snapper Lutjanus argentiventris and sailfin grouper Mycteroperca olfax from the Galápagos Archipelago. To evaluate intrinsic influences, we compared yellow snapper from the Gulf of California (Mexico) and the Galápagos Archipelago (Ecuador). The 2 cohabiting species in the Galápagos exhibited very similar otolith elemental signatures, with no significant differences observed for Li, Cu, Mg, Mn, Rb, and Sr (univariate ANOVAs, p > 0.05), and a small separation achieved between these species (ANOSIM test, R = 0.01, p = 0.038). The yellow snappers from Galápagos and the Gulf of California exhibited distinct elemental signatures increasing from Rb, Cu, Mn, Sr, Li to Ba (univariate ANOVAs, p < 0.05), with a large separation between them (ANOSIM test, R = 0.55, p = 0.001). The present study suggests that extrinsic factors (e.g. water chemistry, temperature, salinity) can be more important than intrinsic factors (e.g. physiology, growth rates, genetics) for influencing elemental uptake in the otoliths of juveniles from mangrove waters. However, improved understanding of factors influencing elemental incorporation is still needed to ensure accurate interpretation of field data, especially in dynamic oceanographic systems, which is the case for both the Gulf of California and the Galápagos Archipelago.
Karakter Fisikokimia Agar-Agar dari Rumput Laut Gracilaria sp. dengan Variasi Air Kelapa dan Lama Ekstraksi

Agar is a complex polysaccharide hydrocolloid that can be obtained from seaweed from the family Gracilaria sp. The function of agar is for gelling agent, thickener, stabilizer. In this research the extraction of agar from seaweed Gracilaria sp. used coconut water is able to reduce sulfate in seaweed, so can improve the properties of gel flour agar. This research was conducted in two stages. The first stage uses a factorial randomized block design consisting of 2 factors with 3 repetitions. The first factor was the ratio of seaweed and the ratio of coconut water (1:25; 1:30; 1:35). The second factor was extraction time (60 minutes, 90 minutes, 120 minutes). The agar extraction results were analyzed for yield, moisture content, ash content, viscosity, and gel strength. The second stage of the study was the application of agar flour to tomato fruit leather used a Simple Randomized Design model with various concentration of agar (0.6%, 0.9%) compared to commercial agar (0.6%, 0.9%). The parameters analyzed were water content, thickness, tensile strength, pH, total dissolved solids, color intensity, and organoleptic (taste, appearance, elasticity, preference). The results showed that there was a significant influence on the ratio of seaweed and coconut water and the extraction time, the agar produced to yield, water content, ash content, viscosity, and gel strength. The best treatment of agar that based on the SNI approach was in the R3T3 treatment, (seaweed: coconut water ratio of 1:35 with extraction time of 120 minutes) with a yield of 32.27%, moisture content of 11.08%, ash content of 3.75%, strength gel 235.51gr / cm2, viscosity 24.09 cP. The second stage of the study, the best results was obtained by adding agar to 0.9% with a moisture content of 8.13%, total dissolved solids 23. 79º Brix, pH 4.03, thickness 0.39 mm , tark strength 1.64 N /mm2, color intensity (L) 40.24, (a +) 22.92, (b +) 8.09, taste 5.9 (tasty), elasticity 5.65 (easy to roll), appearance 5,75 (interesting), like 5.4 (like).
Transition Metal-Catalyzed α-Position Carbon–Carbon Bond Formations of Carbonyl Derivatives

α-Functionalization of carbonyl compounds in organic synthesis has traditionally been accomplished via classical enolate chemistry. As α-functionalized carbonyl moieties are ubiquitous in biologically and pharmaceutically valuable molecules, catalytic α-alkylations have been extensively studied, yielding a plethora of practical and efficient methodologies. Moreover, stereoselective carbon–carbon bond formation at the α-position of achiral carbonyl compounds has been achieved by using various transition metal–chiral ligand complexes. This review describes recent advances—in the last 20 years and especially focusing on the last 10 years—in transition metal-catalyzed α-alkylations of carbonyl compounds, such as aldehydes, ketones, imines, esters, and amides and in efficient carbon–carbon bond formations. Active catalytic species and ligand design are discussed, and mechanistic insights are presented. In addition, recently developed photo-redox catalytic systems for α-alkylations are described as a versatile synthetic tool for the synthesis of chiral carbonyl-bearing molecules.
Polarization reduction by minimum-cardinality edge additions: Complexity and integer programming approaches

Real-world networks are often extremely polarized because the communication between diﬀerent groups of vertices can be weak and, most of the time, only vertices within the same group or sharing the same beliefs communicate to each other. In this work, we introduce the minimum-cardinality edge addition problem (MinCEAP) as a strategy for reducing polarization in real-world networks based on a principle of minimum external interventions. We present the problem formulation and discuss its complexity, showing that its decision version is NP-complete. We also propose three integer programming formulations for the problem and discuss computational results on artiﬁcially generated and real-life instances. Randomly generated instances with up to 1000 vertices are solved to optimality. On the real-life instances, we show that polarization can be reduced to the desired threshold with the addition of a few edges. The minimum intervention principle and the methods developed in this work are shown to constitute an eﬀective strategy for tackling polarization issues in practice in social, interaction, and communication networks, which is a relevant problem in a world characterized by extreme political and ideological polarization.
Characteristics of a healthy population habitually consuming low or high levels of trans fatty acid

Trans fatty acids (TFA) can be naturally formed by ruminal hydrogenation of polyunsaturated fatty acids, or chemically produced by partial hydrogenation o f liquid vegetable oils. Recent studies have shown that high intake of TFA has detrimental effects on plasma lipoprotein profile and contributes to the risk of coronary heart disease. Objectives of this study were to estimate long-term TFA intake in free-living, healthy adults and examine variables o f lipoprotein metabolism in low and high TFA consumers. Among 332 people screened by food frequency questionnaires, forty two men and women were qualified based on TFA intake; cut-off values were 8 g/d for the high intake (HI) and <3 g/d for the low intake (LI). Mean intake of TFA in entire data set was 4.69 g/day (0.2 g/day 40.7 g/day). The estimate of TFA in men was significantly higher than in women (4.3 g/day vs. 5.3 g/day). Compared to LI, serum concentrations o f total cholesterol (TC), triglyceride (TG), and low density lipoprotein cholesterol (LDL-C) tended to be higher in HI. However, serum high density lipoprotein cholesterol (HDL-C) and the ratios of TC to HDL, LDL to HDL, and (TC-HDL) to HDL before gender adjustment was significantly lower (46.1 ± 3.3 mg/dL vs. 54.3 ± 2.4 mg/dL) and higher in HI relative to LI, respectively. Serum lipoprotein (a) levels and low density lipoprotein receptor (LDL-R) mass in mononuclear cell tended to be lower in HI relative to LI. Both lecithinxholesterol acyltransferase (LCAT), and cholesteryl ester transfer protein (CETP) ii Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. activities were higher in HI than in LI. Compared to LI, the serum level of elaidic acid was significantly higher in HI. Stronger correlations between body mass index and ratios o f TC to HDL, LDL to HDL, and (TC-HDL) to HDL were observed (r=0.51-0.54, p=<0.001/0.001) than those between TFA intake and the ratios (r=0.33-0.35, p=0.0240.035). In conclusion, high TFA consumers tended to eat more of other dietary variables including saturated, monounsaturated, and polyunsaturated fats, total energy, and vitamin E. Although TFA may modulate HDL-C via a putative effect on CETP and LCAT activities, the higher intake of all dietary fats by HI may confound the results.
ROBUST VISUAL-INERTIAL ODOMETRY IN DYNAMIC ENVIRONMENTS USING SEMANTIC SEGMENTATION FOR FEATURE SELECTION

Abstract. Camera based navigation in dynamic environments with high content of moving objects is challenging. Keypoint-based localization methods need to reliably reject features that do not belong to the static background. Here, traditional statistical methods for outlier rejection quickly reach their limits. A common approach is the combination with an inertial measurement unit for visual-inertial odometry. Also, deep learning based semantic segmentation was recently successfully applied in camera based localization to identify features on common objects. In this work, we study the application of mask-based feature selection based on semantic segmentation for robust localization in high dynamic environments. We focus on visual-inertial odometry, but similarly investigate a state-of-the-art pure vision-based method as baseline. For a versatile evaluation, we use challenging self-recorded datasets based on different sensor systems. This includes a combined dataset of a real world system and its synthetic clone with a large number of humans for in-depth analysis. We further deploy large-scale datasets from pedestrian navigation in a mall with escalator scenes and vehicle navigation during the day and at night. Our results show that visual-inertial odometry performs generally well in dynamic environments itself, but also shows significant failures in challenging scenes, which are prevented by using the segmentation aid.
Overseas Singaporean attitudes towards Singlish

ABSTRACT This qualitative study explores the attitudes of Singaporean undergraduate students living abroad towards the colloquial variety of Singaporean English, also known as Singlish. The data, consisting of eight in-depth individual interviews, and the findings were analysed using a theoretical framework incorporating cognitive, affective and behavioural components of attitude. The findings demonstrate that Singaporeans have a ‘love and hate’ relationship with Singlish. While the distinctiveness of Singlish features allows Singaporeans to recognize and connect with fellow countrymen abroad, serving as a marker of identification and solidarity, it is also viewed as ‘improper’ and ‘a cause of embarrassment’. Singlish is considered a means by which non-Singaporeans can assimilate into the Singaporean community, and yet, it was found that there was an exclusivity about Singlish in that it could only be mastered by Singaporeans. The findings are discussed in relation to the implications that future research can have on attitudes towards Singlish.
Optimization of wide-field second-harmonic generation microscopy for fast imaging of large sample areas in biological tissues

Second-harmonic generation (SHG) microscopy is a label-free imaging method that can be used to visualize the detailed arrangement of collagen structures in biological tissues. Here, we sought to optimize the speed of microscopic SHG image acquisition of macroscopic fixed tissue sample areas by employing the wide-field imaging with a high power and medium, 1 MHz pulse repetition frequency laser in combination with a mechanical sample scanning. Unlike in the conventional laser-scanning microscopy, the optimum of the wide-field acquisition entails an interplay between the size of the illuminated area and the intensity of the generated signal. We delineate quantitative procedures to set the image parameters for the maximum speed of the tiled image acquisition, and also describe the possible optimization of the laser parameters for further enhancement of the speed of acquisition.