Miracle-dz/UniFAR-FTUs huggingface dataset:
Multidimensional Sentiment Cube Mining for Process Monitoring

Process monitoring is essential for quality improvement because it is necessary to find the answers to which business issues need to be understood. In the era of social media, many critiques concern the business domain, including life insurance, which is one of the significant business sectors in Thailand. To utilize this useful cloud corpus for the business improvement process, we propose a novel methodology for process monitoring using the concept of multidimensional sentiment cube (MDSC) mining to raise usefulness with the business process model notation (BPMN). As the ability of MDC raise unlimited analysis perspectives merge with sentiment analysis (MDSC), this method can provide more sets of data for association rules mining and meet the needs to be analyzed. The cube analysis scenario, which uses association rules mining results, can reveal a significant hidden issue among aspects and sub-aspects associated under our design with their measurements. The results can be used for monitoring, which presents the customer's sentiment from social media in the real business case and identifying in the real process model. HIGHLIGHTS A methodology for process monitoring using the concept of multidimensional sentiment cube (MDSC) mining raise the usefulness of the business process model notation (BPMN) by utilizing the corpus for the business improvement process This method can provide more sets of data for association rules mining as the ability of MDC raise unlimited analysis perspectives to merge with sentiment analysis (MDSC) The results can monitor the customer’s sentiment from social media in the real business case and identify in the real process model GRAPHICAL ABSTRACT
DYNAMIC CHARACTERISTICS OF A TRANSLATIONAL MOBILE AGGREGATE

This paper defines dimensional and dimensionless dynamic characteristics for a mobile aggregate in translation. Its optimization is ensuring: the drive power available in excess; driving force available, downward equilateral hyperbolic with speed (ideal traction characteristic); acceleration of the variable movement, decreasing with speed. The numerical application refers to a vehicle driven by an internal combustion engine equipped with a three-speed gearbox. The analysis undertaken reveals the main influencing factors and limits of the process, addressing researchers that deals with optimization of startup through transmission of continuous power, hydraulically monitored. Keywords— force, power, speed, torque
One-Step Synthesis of N/N-S Graphene from Fruitwastes: Chemistry and Mechanism

The present work explored the synthesis of N-S containing graphene from nitrogen-rich fruit wastes in the presence of urea and thiourea. Since pure graphene exhibited limited electrocatalytic activity due to a low number of active sites, it is highly recommended to introduce multi-heteroatoms into the graphitic lattice, increasing electrical conductivity and interlayer spacing graphene. The results suggested that urea and thiourea played a dual role as they were involved in the cyclization and aromatization to form a graphitic lattice and introduced nitrogen and sulfur atoms within the lattice pyrolysis. The utilization of urea and thiourea facilitated the development of N-S containing graphene from fruit wastes and prevented oxygen's attack between 250-350 oC under normal atmospheric conditions.
Neural Networks and Digital Arts: Some Reflections

: The constant advancement in the area of machine learning has uniﬁed some areas that until then did not communicate, such as the area of computing with the arts in general. With the emergence of digital art, people have become increasingly interested in the development of expressive techniques and algorithms for creating works of art, whether in the form of music, image, aesthetic artifacts, or even combinations of these forms, usually being applied in an interactive technology installation. Due to their high diversity of creation and complexity during processing, neural networks have been used to create these digital works, which present results that are diﬃcult to reproduce by human hand and are usually presented in museums, conferences, or even at auctions, being sold at high prices. The fact that these works are gaining more and more recognition in the art scene, ended up raising some questions about authenticity and art. In this way, this work aims to address the historical context regarding the advancement of the area of machine learning, addressing the evolution of neural networks in this ﬁeld, about what art would be and who would be the artist responsible for digital work, given that despite After performing a good part of the creation process, the computer does not perform the entire process, becoming dependent on the programmer, who in turn is responsible for deﬁning parameters, techniques and, above all, concepts that will attribute all the aesthetic value to the work. From this point of view and the growing interest in the generation of art via computers, the present work presents applied research around neural network techniques and how they can be applied in artistic practice, either generating visual elements or generating sound elements. Finally, some perspectives for the future are presented and how this area can evolve even further.
Novel Cinnamic Acid Derivatives as Potential Anticancer Agents: Synthesis, In Vitro Cytotoxicity and Molecular Docking Studies

Inhibition of matrix metalloproteinase-9 (MMP-9) can be an emerging strategy for a cancer cure as overexpression of MMP-9 is associated with several types of malignancies, including cancers related to lungs, breasts, and prostate. The present work was proposed to design and synthesize some novel cinnamic acid derivatives as potential anticancer agents. Novel cinnamic acid derivatives were designed using a structure-based drug design approach, and a series of 16 newer cinnamic acid analogs was prepared and evaluated for in vitro cytotoxicity (lung cancer cell line, A-549), followed by docking studies to explore binding interactions of designed compounds in the binding site of MMP-9. In the in vitro cytotoxicity assay, compound 5 was found to be most potent, with an IC50 value of 10.36 µM amongst the synthesized analogs. The designed molecules showed appreciable docking interactions and binding patterns with MMP-9 protein supporting the in vitro cytotoxicity outcomes. Compound 5 can be further explored as a possible lead molecule to develop potent and selective MMP-9 inhibitors as potential antineoplastic agents.
The role of Baccharis (Asteraceae) shrubs in the short-term restoration of Atlantic rainforest

The introduction of nurse species on degraded sites of Permanently Protected Areas represents a useful strategy for vegetation recovery in riparian forest. Species of the genus Baccharis (Asteraceae) have been documented as potential nurse plants being able of restructuring the native plant community. This study was aimed to evaluate the potential nursing role of Baccharis dracunculifolia in the recovery of a native plant community of a degraded Atlantic rainforest in a short-time period. The study was developed in two abandoned pasture areas in a riparian forest in the River Piranga basin, one in which B. dracunculifolia was planted (Restored treatment) to promote restoration, and a second area with no intervention (Degraded = Control treatment). Sampling took place 18 months after the planting of B. dracunculifolia. We set up 20 plots of 2 × 2 m in each treatment type (n = 40 plots), where all plant species were recorded (with the exception of the introduced Baccharis individuals and grasses), classifying them as native, ruderal, or alien. Plant richness was twice higher in the Restored treatment than the Degraded treatment. Furthermore, the observed values of alpha, gamma and beta diversity were also higher in Restored treatment. Restored treatment had 17 exclusive native species, while the Degraded treatment had only three non-exclusive native species. In addition, fewer ruderal and alien species were recorded in the restored plots with B. dracunculifolia compared to degraded plots. We concluded that, even in a short time period, planting B. dracunculifolia had a positive effect on promoting the assembly of the native plant community and possibly decreasing the chances of invasion by alien species.
Analysis and Design of Series-LC-Switch Capacitor Multistage High Gain DC-DC Boost Converter for Electric Vehicle Applications

Research into modern transportation systems is currently in progress in order to fully replace the traditional inter-combustible engine with a noiseless, fast, energy-efficient, and environmentally friendly electric vehicle. Electric vehicles depend on an electric motor and require highly efficient converter drive circuits. Among these converters, DC-DC boost converters play a major role in charging not only the battery banks but also in providing the DC-link excitation voltage in transformerless applications. However, the development of these converters, which have higher voltage and current gain with minimum components, minimum voltage, and current stress, is quite challenging. Therefore, this research work aims to address these issues and also to improve overall system performance. These aims are achieved by developing a series LC-based single-stage boost converter, and extending its gain through a multi-stage boost converter using switch capacitor phenomena. This article also presents a complete operating model in continuous conduction mode. The proposed converter is tested under various testing conditions, such as output loading, input voltage levels, and duty cycle ratio for a 50 W resistive load. The results are compared with existing models. The proposed converter is stated to have achieved the highest efficiency, i.e., 96.5%, along with extendable voltage gain with reduced voltage and current stresses, which is a major contribution to this research field.
Aerobic Dance on an Air Dissipation Platform Improves Cardiorespiratory, Muscular and Cellular Fitness in the Overweight and Obese Elderly

Simple Summary Aerobic dance is considered a viable strategy to prevent the effects of aging, mainly in obese and overweight elderly people. This study aimed to evaluate the effects of aerobic dance on an air dissipation platform (ADP) on body composition, oxidative stress and muscular and cardiorespiratory fitness in 32 elderly adults (67.1 ± 3.6) who were divided into 3 groups based on body mass index: healthy (HG), overweight (OWG) and obese (OG). Training program of aerobic dance on an ADP was carried out twice a week for 12 weeks at an intensity of 6–8 on the scale of subjective perception exertion (Borg Scale, CR-10). There was a significant decrease in malondialdehyde concentrations in all experimental groups. OWG and OG significantly improved their peak oxygen uptake. An interaction effect was observed in vertical flight height and power output, during the jump test. HG increased the vertical jump height, and HG and OG improved the power output of the lower extremities. In conclusion, aerobic dance on an ADP may be an effective alternative to lose weight, prevent oxidative stress and improve cardiorespiratory fitness in obese and overweight elderly people. Abstract Background: Obesity is a global health problem associated with a high number of comorbidities that decrease functional capacity, especially in elderly people. Aerobic dance is considered a viable strategy to prevent the effects of aging, mainly in obese and overweight elderly people. This study aimed to evaluate the effects of aerobic dance on an air dissipation platform (ADP) on body composition, oxidative stress and muscular and cardiorespiratory fitness in elderly people. Methods: In total, 32 elderly adults (67.1 ± 3.6) were divided into 3 groups based on body mass index: healthy (HG), overweight (OWG) and obese (OG). Training program of aerobic dance on an ADP was carried out twice a week for 12 weeks. Results: OWG (p = 0.016) and OG decreased their weight (p < 0.001). There was a significant decrease in malondialdehyde concentrations in all experimental groups (p < 0.05). OWG and OG significantly improved their peak oxygen uptake (p < 0.01). HG increased the vertical jump height (p < 0.05), and HG and OG improved the power output of the lower extremities (p < 0.05). Conclusions: The aerobic dance on an ADP may be an effective alternative to lose weight, prevent oxidative stress and improve cardiorespiratory fitness in obese and overweight elderly people.
Combination Prediction Method for Aerial Spare Parts Based on LSSVM and Entropy

In order to achieve precision support of the aviation equipment,the number of Aerial spare parts needs to be predicted.Because the existing methods are difficult to accurately predict the number with small samples,a novel combined method is proposed in this paper.Firstly,it combines the advantages of univariate and multivariate prediction methods which are both based on LSSVM.Then,weight coefficient of the combination prediction method is optimized based on entropy theory.The experiment results show that the proposed method has a higher accuracy in predicting the Aerial spare parts.
Estimating Yield from NDVI, Weather Data, and Soil Water Depletion for Sugar Beet and Potato in Northern Belgium

Crop-yield models based on vegetation indices such as the normalized difference vegetation index (NDVI) have been developed to monitor crop yield at higher spatial and temporal resolutions compared to agricultural statistical data. We evaluated the model performance of NDVI-based random forest models for sugar beet and potato farm yields in northern Belgium during 2016–2018. We also evaluated whether weather variables and root-zone soil water depletion during the growing season improved the model performance. The NDVI integral did not explain early and late potato yield variability and only partly explained sugar-beet yield variability. The NDVI series of early and late potato crops were not sensitive enough to yield affecting weather and soil water conditions. We found that water-saturated conditions early in the growing season and elevated temperatures late in the growing season explained a large part of the sugar-beet and late-potato yield variability. The NDVI integral in combination with monthly precipitation, maximum temperature, and root-zone soil water depletion during the growing season explained farm-scale sugar beet (R2 = 0.84, MSE = 48.8) and late potato (R2 = 0.56, MSE = 57.3) yield variability well from 2016 to 2018 in northern Belgium.
An Evaluation of Algebraic Turbulence Length Scale Formulations

Turbulence kinetic energy (TKE) schemes are routinely used for turbulence parameterization in numerical weather prediction models. A key component of these schemes is the so-called turbulence length scale. Novel scale-aware, budget-based diagnostics that account for the cross-scale transfer of variances are used to evaluate the performance of selected turbulence length scale formulations in the gray zone of turbulence. The diagnostics are computed using the coarse-graining method on high resolution large eddy simulation data for selected idealized cases. The vertical profiles and the temporal evolution of the turbulence length scales are analyzed. Additionally, the local normalized root mean square error and a non-local three-component technique tailored specifically to the turbulence length scale profiles are used for the evaluation. Based on our analyses, we recommend using turbulence length-scale formulations that depend not only on the boundary layer height, but also on the TKE and stratification. Such formulations are able to perform satisfactorily in different flow regimes, but their scale-awareness is still limited. Only the Honnert et al. formulation shows a stronger scale-awareness thanks to its cut-off relationship in the gray zone. However, in contrast to the turbulence length scale diagnostics, its resolution dependence does not change with height.
Differential Genetic and Epigenetic Effects of the KLF14 Gene on Body Shape Indices and Metabolic Traits

The KLF14 gene is a key metabolic transcriptional transregulator with monoallelic maternal expression. KLF14 variants are only associated with adipose tissue gene expression, and KLF14 promoter methylation is strongly associated with age. This study investigated whether age, sex, and obesity mediate the effects of KLF14 variants and DNA methylation status on body shape indices and metabolic traits. In total, the data of 78,742 and 1636 participants from the Taiwan Biobank were included in the regional plot association analysis for KLF14 variants and KLF14 methylation, respectively. Regional plot association studies revealed that the KLF14 rs4731702 variant and the nearby strong linkage disequilibrium polymorphisms were the lead variants for lipid profiles, blood pressure status, insulin resistance surrogate markers, and metabolic syndrome mainly in female participants and for body shape indices mainly in obese women. Significant age-dependent associations between KLF14 promoter methylation levels and body shape indices, and metabolic traits were also noted predominantly in female participants. KLF14 variants and KLF14 hypermethylation status were associated with metabolically healthy and unhealthy phenotypes, respectively, in obese individuals, and only the KLF14 variants demonstrated a significant association with both higher adiposity and lower cardiometabolic risk in the same allele, revealing uncoupled excessive adiposity from its cardiometabolic comorbidities, especially in obese women. Variations of KLF14 are associated with body shape indices, metabolic traits, insulin resistance, and metabolically healthy status. Differential genetic and epigenetic effects of KLF14 are age-, sex- and obesity-dependent. These results provided a personalized reference for the management of cardiometabolic diseases in precision medicine.
Screening of 1,3,4-Thiadiazole Derivatives by in silico Molecular Docking to Target Estrogen Receptor for Breast Cancer

Estrogen receptor plays a key role in physiological functions and is activated by estrogens. Breast cancer is the leading cancer among women all over the world. The molecular docking research began with the use of Schrödinger software to find the lead molecule from the 1,3,4-thiadiazole derivatives. Also, ADME drug-likeness properties were predicted to find a suitable lead candidate. Out of fifty 1,3,4-thiadiazole derivatives, TOH62 and TF62 showed the highest binding energies, and gscores are -9.36 and -8.85 kcal/mol, respectively. These results proved that the phenolic OH has a certain role in the binding with the targeted protein and is responsible for the activity. In the near future, we are willing to do the in-vitro and in-vivo anti-breast cancer evaluation of these compounds.
Artificial neural network for lung cancer detection using CT images

Lung Cancer is the second most serious disease in today’s world due to which the mortality rate is increasing every year. Accurate and early identification of cancer in the lung could help people live longer. Medical image processing has a significant impact on the recognition of lung tumors using Computer Tomography (CT) scan images. CT scan images provide the complete imaging of tumor development inside the lungs and are extensively used. A lung cancer diagnosis is usually done manually by skilled specialists, and while these approaches are particularly useful in advanced stage detection, it is also a time-consuming operation that is highly reliant on the person. This increases the risk of detecting inaccuracy due to human error procedures, necessitating the use of an automated system. As a result, it is necessary to identify lung cancer using an automated approach to decrease human manual error and enhance the accuracy and convenience of the process. In this proposed method image processing techniques and an artificial neural network (ANN) were employed to create an automatic method for accurate lung cancer detection. In the first step, image noise reduction, the histogram for image enhancement,
A Novel Transcription Factor VPA0041 Was Identified to Regulate the Swarming Motility in Vibrio parahaemolyticus

Vibrio parahaemolyticus can change their usual lifestyle of surviving in an aqueous environment attached to a host, wherein both swimming motility and swarming motility play important roles in lifestyle changes, respectively. VPA0041 is a novel transcription factor involved in regulating the swarming ability of V. parahaemolyticus. The deletion of the vpa0041 gene resulted in the loss of swarming motility in the brain heart infusion (BHI) agars, while the swimming motility was unaffected by VPA0041. Transmission electron microscope (TEM) assays showed that no flagellum was found around the bacterial cells. RNA-sequencing (RNA-Seq) analysis revealed that VPA0041 regulated 315 genes; 207 genes were up-regulated, and 108 genes were down-regulated. RNA-seq results indicated that the lateral flagellar genes were down-regulated by VPA0041, which was confirmed by real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Electrophoretic mobility shift assays (EMSA) demonstrated that VPA0041 directly bound to the promoters of vpa0264, vpa1548, and vpa1550 to regulate the expression of the lateral flagellar genes. Our results demonstrated that the transcription factor VPA0041 could directly regulate the expression of lateral flagellar genes to mediate the swarming motility in V. parahaemolyticus.
Study on Design of Servo Controller with Friction Feedforward Compensation

In order to overcome steady error and stick-slip brought by friction to the system,it is an effective and saving-money way to eliminate nonlinear friction influences by means of control strategy to compensate nonlinear friction negative impacts on system motion.Firstly,friction measurement experiments are performed on an AC servo worktable feed system.According to experimental data,a simplified Stribeck friction model is built.Because servo lag and friction existing in XY worktable feed system are two predominant factors which reduce position tracking precision of the worktable,a complete feed-forward compensation scheme should contain two parts: a fsiction feed-forward compensator and a command feed-forward compensator.Respectively,theoretical design of the command feed-forward compensator and the friction feed-forward compensator are carried out.By aid of the function of the present GT-400 motion controller,a friction compensation module is added so as uo improve the tracking precision of the system.And Compared to the traditional controller without feed-forward compensation,experimental results show the control scheme with command and friction feed-forward compensation can obtain better control performance.