Miracle-dz/UniFAR-FTUs huggingface dataset:
ROS Gazebo and MATLAB/Simulink Co-simulation for Cart-Pole System: A Framework for Design Optimization

Co-simulation is a process of combining several simulation environments simultaneously. This approach is critical in requirements to model the interactions of multiple physical phenomena or disciplines. This paper presents in depth an integrated co-simulation framework of Robot Operating System (ROS) and MATLAB/Simulink for the Cart-Pole system. Cart-Pole is known as one of the classic experimental systems of control theory. This research firstly discusses the mathematical modelling of the Cart-Pole system in detail and explains how this model can be simulated linearly and nonlinearly in MATLAB. It also provides information on how to implement the LQR control structure for the Cart-Pole example in both linear and nonlinear simulations in MATLAB and in the Gazebo simulation. The research introduces the integration process between ROS-Gazebo and MATLAB/Simulink (Cosimulation framework) as well as the tools and libraries used. In the context of design optimisation, it is shown how to integrate this co-simulation framework with evolutional algorithms. In conclusion, this paper shows that MATLAB-linear, MATLAB-nonlinear and ROS-Gazebo simulations produce different results and comments on the reasons for these differences. For researchers seeking design optimisation through Reinforcement Learning (RL) approaches, the framework allows for simple simulation of dynamically modelling highly complex problems.
Conditions of formation of mercury deposits from the Cantabrian zone (Spain)

Les gisements de mercure sont frequents dans la Zone Cantabrique. Ces mineralisations sont localisees dans des niveaux stratigraphiques allant du Precambrien au Carbonifere, et sont en relation avec des fractures tardi-hercyniennes. ; Dans les inclusions fluides aqueuses d'une fluorite anterieure au cinabre (La Cabaiia), l'homogeneisation se produit a des temperatures comprises entre 120 et 160 °C, avec des salinites de 7-14 % eq. NaCl. Les inclusions fluides piegees dans des mineraux contemporains du cinabre (quartz, fluorine, blende, calcite), provenant de differentes mineralisations, montrent que les solutions mineralisantes presentaient des salinites moyennes a fortes (10-23 % eq. NaCl) et des temperatures d'homogeneisation comprises entre 100 et 150 °C. ; A partir de donnees geologiques, paragenetiques et microthermometriques, ces gites peuvent etre rapproches du type "Altai-Sayan" defini en U.R. S.S.
CYP1-Activation and Anticancer Properties of Synthetic Methoxylated Resveratrol Analogues

Naturally occurring stilbenoids, such as the (E)-stilbenoid resveratrol and the (Z)-stilbenoid combretastatin A4, have been considered as promising lead compounds for the development of anticancer drugs. The antitumour properties of stilbenoids are known to be modulated by cytochrome P450 enzymes CYP1A1 and CYP1B1, which contribute to extrahepatic phase I xenobiotic and drug metabolism. Thirty-four methyl ether analogues of resveratrol were synthesised, and their anticancer properties were assessed, using the MTT cell proliferation assay on a panel of human breast cell lines. Breast tumour cell lines that express CYP1 were significantly more strongly affected by the resveratrol analogues than the cell lines that did not have CYP1 activity. Metabolism studies using isolated CYP1 enzymes provided further evidence that (E)-stilbenoids can be substrates for these enzymes. Structures of metabolic products were confirmed by comparison with synthetic standards and LC-MS co-elution studies. The most promising stilbenoid was (E)-4,3′,4′,5′-tetramethoxystilbene (DMU212). The compound itself showed low to moderate cytotoxicity, but upon CYP1-catalysed dealkylation, some highly cytotoxic metabolites were formed. Thus, DMU212 selectively affects proliferation of cells that express CYP1 enzymes.
Cross-lingual Speaker Adaptation for HMM-based Speech Synthesis based on Perceptual Characteristics and Speaker Interpolation

This paper proposes a cross-lingual speaker adaptation (CLSA) method based on perceptual characteristics (PCs). To develop a CLSA system, a state mapping (SM) based method has been recently proposed. This method extracts speaker characteristics directly from source acoustic features as linear transforms and applies them to target models. However, it is difﬁcult to completely eliminate language dependency from speaker transforms, and the synthesized speech is affected by source language dependency. Furthermore, there is no theoret-ical framework for adapting prosodic information. Hence, this paper presents a framework that uses a language-independent space of PCs for providing mapping between languages. Since the output speech is synthesized from the acoustic models of the target language only, the proposed method is not affected by the acoustics of the source language. Moreover, by using a language-independent space for language mapping, the proposed method is potentially able to adapt prosodic information from the target speaker. Experimental results show that the proposed method produces speech that sounds similar to the target speaker and improves the naturalness of the synthesized speech.
Systematic Construction of Deadlock-Free Routing for NoC Using Integer Linear Programming

Network-on-Chip (NoC) presents a promising solution for on-chip communication in highly integrated System-on-Chips (SoCs). This work addresses critical challenges in NoC design, including routing construction, application mapping, and particularly the issue of deadlocks in the widely-used wormhole routing method. In this paper, an Integer Linear Programming (ILP) approach for deadlock-free routing is proposed, applicable to arbitrary network topologies. We systematically analyze deadlock-free routing construction for mesh and torus topologies under uniform random traffic and provide alternative solutions to turn models. In the context of application-specific NoCs, application mapping, and deadlock-free routing are integrated within a single ILP. Through evaluation with several benchmark applications, it is demonstrated that the ILP method consistently delivers optimal solutions and could obtain better results than various heuristic methods within an acceptable time. Fault tolerance is also explored and existing techniques are incorporated into the ILP approach. As an illustrative example, application mapping and a 1-link-fault-tolerant deadlock-free routing for the MP3 application on a mesh network is performed.
English rhythmic structure and tone-units perception by the speakers of Chinese

The present paper deals with the peculiarities of English rhythmic structure and tone-units perception by the speakers of Chinese. The prognosis is made that it is bound to be problematic for the China English speakers to identify the analogous rhythmic structures in the phrases of different syntactic organization. Consequently, misperception of English rhythmic structures may lead to further resegmentation within the English phrase of a complex syntactic structure. The experiment has been conducted to prove this prognosis.
Factors Affecting Adherence to National Colorectal Cancer Screening: A 12-Year Longitudinal Study Using Multi-Institutional Pooled Data in Korea

Background Consistent uptake of colorectal cancer (CRC) screening is important to reduce the incidence and mortality from advanced-stage CRC and increase the survival rate of the patients. We conducted a longitudinal study to determine the factors affecting CRC screening compliance in Korean adults using individual-level linked data from the Korean National Health and Nutrition Examination Survey, Korean National Health Insurance Service, and Korean Health Insurance Review and Assessment Service. Methods We selected 3,464 adults aged 50–79 years as the study population and followed them for 12 years (January 2007–December 2018). The outcome variable was the level of adherence to CRC screening, categorized as nonadherent, intermittently adherent, and consistently adherent. An ordinal logistic regression model was designed to determine the socioeconomic factors, family history of CRC, and medical conditions that could facilitate the consistent uptake of CRC screening. Results The results showed a significant and positive association between consistent uptake of CRC screening and the 100–150% income category (odds ratio [OR], 1.710; 95% confidence interval [CI], 1.401–2.088); clerical, sales and service job category (OR, 1.962; 95% CI, 1.582–2.433); residency at medium-sized cities (OR, 1.295; 95% CI, 1.094–1.532); high-school graduation (OR, 1.440; 95% CI, 1.210–1.713); married status (OR, 2.281; 95% CI, 1.946–2.674); use of employment-based national health insurance (OR, 1.820; 95% CI, 1.261–2.626); use of private insurance (OR, 2.259; 95% CI, 1.970–2.589); no disability (OR, 1.428; 95% CI, 1.175–1.737); family history of CRC (OR, 2.027; 95% CI, 1.514–2.714); and history of colorectal neoplasm (OR, 1.216; 95% CI; 1.039–1.422). Conclusion The lack of regular participation in CRC screening programs in the Republic of Korea was found to be an issue that requires attention. Policies on CRC screening must place increased emphasis on strengthening educational and public relations initiatives.
Budaya dan Kepuasan Kerja: Perilaku Silence Sebagai Mediasi (Studi Kasus di Yayasan Pendidikan Islam Khaliqa)

Penelitian ini dilaksanakan pada Yayasan Pendidikan Islam Khaliqa dengan tujuan menguji peran perilaku silence dalam memediasi pengaruh budaya terhadap kepuasan kerja. Metode penentuan sampel yang digunakan dalam penelitian ini adalah metode sampel jenuh, dimana seluruh populasi menjadi sampel yang berjumlah 52 orang. Analisa data penelitian ini menggunakan statistik deskriptif dan analisis verifikatif, sebagai alat analisis digunakan Sctruktural Equational Model yang diproses dengan Software Smart PLS2. Hasil analisis membuktikan bahwa pengaruh positif budaya organisasi berdampak signifikan terhadap kepuasan kerja, dan perilaku silence dinyatakan mampu memediasi pengaruh budaya organisasi terhadap kepuasan kerja
Prioritizing Adoption Factors of Cloud Computing: A case of Ministry of Higher Education in Iraq

Cloud Computing is one of the latest revolutions in information technology that influences many sectors in many governments. Cloud computing is a model for providing resources for storage and communication based on the service as quickly as possible, that is virtually applied through internet access. Despite the concern shown by many countries in adopting cloud computing, not many researchers have shown what the most desirable factors are that influence key players in public sector to allow them to decide on cloud computing adoption. The existing researches indicated other areas such as accepting the cloud computing service in government organizations, establishing the architecture of cloud computing, and integrating the cloud computing services. Thus, the study has examined to prioritize adoption factors that have been considered the most desirable ones in effecting public sector adoption cloud computing by conducting a web- based survey in the Ministry of Higher Education in Iraq. From the results, the top management support, cloud strategy, IT infrastructure, compatibility, external expertise, and internal experts, are the most important factors for Iraqi government organizations to adopt cloud computing while complexity, trailability, competitive and cost factors are specified as the minor factors.
Role of Service Quality, Price Perception, Brand Image, and Information Technology Involvement in Banking Product Purchase Decisions

The decision to buy savings products at BRI is interesting to be raised in the research because, on the one hand, BRI is a bank that has a network of work units in remote areas of Indonesia so that it can serve the wider community, on the one hand, there are still many customers who complain about its services to BRI. This paper address the role of service quality, price perception, brand image, and purchase decision to banking products moderated by Information Technology. Data is collected through a questionnaire survey. This study employs purposive sampling to obtain respondents (n = 110), with the criteria, customers of the Britama account holder. Data analysis using SEM (Structural Equation Modeling) to get research results. Based on the results of confirmatory analysis and hypothesis testing, there is a strong relationship between the independent variables tested on the Purchase Decision of Britama Savings Products at BRI. Meanwhile, Information Technology moderated service quality shows a strong relationship. Price Perception with Information Technology moderation shows a weak relationship. Information Technology moderated Brand Image has no relationship with the purchase decision.
Pollen Image Depth Information Correction

Pollen allergy (pollinosis) is a common and frequently-occurring disease worldwide, and the prevalence of pollinosis has shown a significant upward trend in recent years. Since pollen particles can adhere to a variety of air pollutants (including atmospheric particulates and chemical pollutants) and the allergenic proteins on pollen interact with them, atmospheric pollutants can enhance the allergenicity of pollen.This paper proposes a pollen image depth information correction algorithm based on image processing, which aims to correct the depth information on the basis of protecting the original shape information of the pollen image. The gray information of the pollen image is corrected by improving the gamma function and the tanh function. Since the pollen center point is the closest point to the observation point, the gray value of the center position is the largest, and the position of the pollen edge is the farthest from the observation point. By correcting the gray information, the corrected pollen image has visual depth information, which is more in line with the requirements of the depth map for three-dimensional modeling of pollen images. The whole study enables us to understand the shape characteristics of pollen more intuitively, and provides necessary learning tools for clinical medical personnel to learn and understand pollen.
Estimation of lateral displacement induced by jet grouting in clayey soils

The installation of jet-grouted columns in soft ground can induce lateral displacement resulting from injection of a great amount of water and grout into the ground, which may then lead on to further significant effects. This paper presents an approach to estimate the lateral displacement due to the installation of a jet-grouted column in clayey soils. Assuming that the installation of a jet-grouted column is represented by the expansion of a cylindrical cavity with a uniform radial stress applied at the plastic–elastic interface in a half-plane, the analytical solution developed by Verruijt is adopted in this study to calculate the lateral displacements attributable to the expansion of the cylindrical cavity. An empirical equation that accounts for the jetting parameters (jetting pressure, flow rate of the fluid and rod withdrawal rate) and soil properties (soil type and its undrained shear strength) has been developed to determine the radius of the plastic zone. Three case histories analysed in this pap.
CdSe/CdS/SiO2/BN Quantum Rods Assembly for LED Display Application

Semiconductor CdSe/CdS quantum rod (QRs) have attracted great research interest owning to their excellent photoluminescent property, large Stokes shift, and easy integration with mini/micro-LEDs for application in wide- color gamut display devices. However, the CdSe/CdS QRs still face critical stability issue in practical environment. Here, we reported the fabrication of CdSe/CdS/SiO2/BN QRs assembly (QRAs) by encapsulating CdSe/CdS QRs with SiO2 and further embedded in layer-by-layer assembled BN nanoplates. The assembly structure effectively improves the heat transfer and air resistance of the QRs in LED devices. The effect of morphology as well as SiO2 thickness on the optical performance, fluorescent quenching, and stability of the QRs in LEDs was investigated with optical analysis and thermal simulation. The QRAs converted LEDs demonstrate excellent color quality with largely improved efficiency and long-term stability.
Evaluation of AquaCrop model in crop dry bean growth simulation Evaluación del modelo AquaCrop en la simulación del crecimiento del cultivo del frijol

The research was carried out from November, 2013 to March, 2014. The purpose of this investigation was to evaluate the AquaCrop model simulation of canopy cover, dry biomass and soil water balance in dry bean crop. The area of research belonging to UBPC Grito de Yara, belonging to Yara county of Granma province. The investigation area was a plot, with nine furrows with 0.8 m width and 100 m length. The plot was divided into 3 subplots with 33 m of length, central furrow of each subplot were utilized for measurement. Variety Deli- cias 360 was sown on December 20, 2013, with 0,5 m of plant spacing and 0,8 m of row spacing. Canopy cover (CF), dry biomass (BSA) and soil water content (CHS) evolution simulated by AquaCrop model were similar in tendency and absolute values to that observed. Considering R2 (0,81; 0,95; 0,99), RMSE (13,4; 0,45;7,3 ), NRMSE (19,3; 17,0; 7), EF(0,8; 0,94; 0,63) y d (0,95; 0,98; 0,92) indicators as statistical criteria for CF, BSA y CHS variables, respectively, it was possible to prove that AquaCrop model can adequately simulate the variables observed.
Visual Traffic Knowledge Graph Generation from Scene Images

Although previous works on traffic scene understanding have achieved great success, most of them stop at a low-level perception stage, such as road segmentation and lane detection, and few concern high-level understanding. In this paper, we present Visual Traffic Knowledge Graph Generation (VTKGG), a new task for in-depth traffic scene understanding that tries to extract multiple kinds of information and integrate them into a knowledge graph. To achieve this goal, we first introduce a large dataset named CASIA-Tencent Road Scene dataset (RS10K) with comprehensive annotations to support related research. Secondly, we propose a novel traffic scene parsing architecture containing a Hierarchical Graph ATtention network (HGAT) to analyze the heterogeneous elements and their complicated relations in traffic scene images. By hierarchizing the heterogeneous graph and equipping it with cross-level links, our approach exploits the correlation among various elements completely and acquires accurate relations. The experimental results show that our method can effectively generate visual traffic knowledge graphs and achieve state-of-the-art performance. The dataset RS10K is available at http://www.nlpr. ia.ac. cn/pal/RS10K.html.
Computational Medicine in Radiology: Medical Images as Big Data

Radiology has been transformed in recent decades from a specialty that relied on subjective interpretation of qualitative assessment of medical images to one that is now informed by objective analyses of medical images as quantitative constructs through advanced computational methods. This paper discusses medical images as mathematical data structures, from the pipeline of physics and engineering through which medical images are acquired to the unique attributes of images obtained from patients in a clinical setting to post-acquisition image processing that leads to computer-aided diagnosis (now dominated by artificial intelligence systems). The magnitude of data contained within images from a single imaging study and the volume of imaging studies stored in a clinical archive or required for research clearly warrant the label “big data. ”
GeMP-BNN: High-Performance Sampling-Free Bayesian Neural Network Accelerator with Gaussian Error Moment Propagation

Bayesian neural networks (BNNs), which can represent predictive uncertainty, have been an essential framework for reliable machine learning. Unfortunately, BNNs are difficult to use in applications requiring high-throughput processing, such as automated driving systems. This difficulty arises from the large amount of computation required, compared to that required for non-Bayesian neural networks. For example, Monte Carlo sampling-based BNNs require tens of forward propagations for prediction. Another approach, known as moment propagation, requires a lot of computations in the nonlinear layers, including exponential and square root functions, which are difficult to execute on hardware. Edge AI in IoT systems requires inference with limited computational resources, but the computation of such expensive functions results in increased circuit resources and increased computation. To realize high-throughput uncertainty estimation with limited computational resources, a hardware-friendly nonlinear layer and a dedicated hardware accelerator that can efficiently execute moment propagation are necessary. This study proposes a novel nonlinear layer, Gaussian error moment propagation (GeMP), which introduces nonlinearity and perturbations with less computational cost and no additional parameters and develops a dedicated FPGA-based accelerator utilizing the proposed nonlinear layer. Through evaluations with software and FPGA implementation, we showed that GeMP-BNN achieved up to 4.9 times higher throughput and 0.20 times lower energy consumption without compromising the uncertainty quality compared with BNN accelerators having previous nonlinear layers.
Analysis of Aerosol Properties Coupled with Meteorological Parameters over East Asia

This paper investigates the aerosol properties over the major East Asian stations of Beijing, Gosan, Osaka, Taipei, Mukdahan, and Bac-Giang, during the years 2002-2008. Aerosol optical thickness (AOT) product from the moderate resolution imaging spectroradiometers (MODIS) onboard the Aqua and Terra satellites are used for this study. The aerosol robotic network (AERONET) ground observations are used to validate the satellite AOT. The daily, monthly, seasonal, and inter-annual AOT variations over the selected locations are described along with meteorological parameters from National Center for Environmental Prediction, National Center for Atmospheric Research (NCEP-NCAR) reanalysis data and Global Precipitation Climatology Center (GPCC) data. Angstrom exponent (AE), and fine mode fraction (FMF) from MODIS and AERONET are used to discuss the size, type and possible particle sources. Seasonal wind patterns from NCEP-NCAR reanalysis data are used to confirm particle transport from the source regions around the study area to the chosen stations. The results suggest that the maximum aerosol loading occurs over Beijing with the daily mean AOT reaching above 2.0. Gosan and Taipei are among the stations having the smallest AOT in most seasons with values below 0.5. Dust influence appears to be significant over Beijing, Osaka, and Gosan and to a lesser extent over Bac-Giang in the spring. Pollution, bio-mass burning, etc. contribute in the summer and spring over all stations. The detailed AOT characteristic over Mukdahan and Bac-Giang are reported for the first time.