Miracle-dz/UniFAR-FTUs huggingface dataset:
The Factors and Theories on Consumers' Purchase Intention of New Energy Vehicles

In recent years, in order to alleviate the increasingly serious situation of the world's environmental problems and promote the sustainable development of the global economy, the world's major automobile enterprises have been invested in developing and promoting new energy vehicles. By sorting out and analyzing the factors that affect consumers to buy new energy vehicles, this study was based on the consumer-related theory and aims to correctly grasp the consumption behavior and law of the new energy vehicle market. By collation and analysis of the previous studies, this study found that consumer demographics, attitude, perceived behavior control, and social norms are important factors affecting the consumption behavior of new energy vehicles, and explains different effects of each variable on consumer attitudes and behaviors from multiple theoretical perspectives. This study put forward the relevant suggestions to promote the development of new energy vehicles and provided guidelines for promoting the development of sustainable industries.
Features of Parenthetical Constructions in Mo Yan’s Novel “Tired of Being Born and Dying” (2005)

This article is devoted to the study of parenthetical constructions and structures in the Chinese language of fiction, based on the material of the novel “Tired of being Born and Dying” by Mo Yan (《生死疲劳》莫言，2005) as a problem of modern semantic-syntactic and functional-stylistic phenomena, which, representing localized fragments of speech as part of the main utterance, emphasize the nonlinearity of linguistic thinking and act as an artistic means of expression. Hence, the purpose of this work is to determine and systematize the features of the use of such plug-in constructions in artistic discourse on the selected material, to fix the beginning of the use of such a language practice not typical for Chinese literary texts previously. In the syntax of the Chinese literary language, such pragmatic inserts, or so-called parenthetics, were completely absent until the last quarter of the 20th century, because they were not a normative and characteristic means of Chinese grammar. Its active implementation in artistic discourse can be attributed only to the turn of the 20th – 21st centuries and the first quarter of the 21st century. Syntactically parenthetical constructions function at the system (combinatorics of components), pictorial (stylistic labeling) and compositional (organization of text space) levels. Based on the factual material, it has been proven that the use of parenthetical constructions practice is one of the features of Mo Yan’s idiostyle, integrating different narrative plans. The paper also systematizes the main functions of plug-in structures. The results of the study provide a basis for further research of parenthetical constructions in Chinese prose.
ARE THE GRADES OBTAINED IN HIGH SCHOOL GOOD PREDICTORS OF SUCCESS IN COLLEGE FRESHMAN

In Spain, people aspiring to enter university must pass the test called Selectivity (S), whose value is obtained from an algorithm which considers the marks obtained in High School and a final exam that includes several subjects. The total must exceed 5 out of 10. There are two possibilities to enter university: having attended a High School (HS) or having completed training practical-professional studies (TP). Acceptance into a specific faculty depends on the difference between offer and demand of places to attend it (very different according to studies), and it is decided exclusively by means of S mark. Therefore, the higher demand, the higher cut-off. We have studied the influence of the marks obtained in S on the results of Freshman of Food Science Technology (FST; 10 matters) at the Universitat Autonoma de Barcelona (Spain), over five academic years by using appropriate statistical methods. We observe that, in general, the marks obtained in S are good predictors for all students considered together (except for the subject Prod. Raw. Mat.), and the same is observed for HS students considered separately, but not for TP ones (except for the subjects of Statistics, Chemistry-I and Lab. Exp). Although the average scores of 7 of the 10 subjects are superior for those of HS taken globally, differences with respect to those coming from TP are not statistically significant except for Mathematics and Physics. The average notes are superior to 5 in all cases, and when ranked from the lower to the higher, deductive matters are the inferior group with respect to the descriptive ones, with the exceptions of Microbiology and Statistics. Chemistry and Microbiology stand out as subjects with the highest percentage of failures, but average percentages of whose decide not attend the exams are quite regular for all subjects.
Hyperélasticité et existence de fonctionnelle énergie

Let Λ be a compressible elastic body, possibly inhomogeneous. It is supposed that for every cyclic evolution of the body, leaving fixed a neighbourhood of the boundary, the total work done by the internal efforts is zero; this is proved to imply hyperelasticity Soit Λ un corps elastique compressible non necessairement homogene. On suppose que pour toute evolution cyclique de Λ, laissant fixe un voisinage du bord, le travail total des efforts interieurs est nul. On montre que cela implique l'hyperelasticite
18 cm Observations of Galactic OH from Longitudes 128° to 300°

Observations have been made of 18 cm OR emission and/or absorption for 12 sources between galactic longitudes 128° and 300°. The OR is seen in emission in five of the sources, and the four Stokes parameters of the emission profiles have been measured. A new type of strong wideband OR emission has been found near III = 284°. There are two sources where weak emission at 1612 MHz accompanies absorption on the other three lines.
A 3-D MoM for Uniaxial Objects in a Uniaxial Background Medium

A 3-D method of moments (MoM) for solving surface integral equations (SIEs) is presented for the electromagnetic (EM) scattering of 3-D uniaxial EM objects in a uniaxial EM background with arbitrary optical axes. The Poggio–Miller–Chang–Harrington–Wu–Tsai (PMCHWT) formulation for uniaxially anisotropic media is applied to find the induced electric and magnetic current densities on the uniaxially anisotropic objects. The conventional Rao–Wilton–Glisson (RWG) functions are used as the basis functions and test functions to convert the PMCHWT equations into weak-form equations. As the main challenge in impedance matrix assembly, the singularity problem in uniaxial EM media is addressed. The new contribution of this work is the development of an MoM solver allowing both the scatterers and the background medium to be uniaxially EM with arbitrary optical axes. To verify the accuracy and efficiency of the proposed method, three numerical examples are presented. Compared with the simulation results of mature commercial software, the proposed method has high accuracy and efficiency and has great advantages in computing time and resource consumption.
Exploring the Remarkable Chemotherapeutic Potential of Polyphenolic Antioxidants in Battling Various Forms of Cancer

Plant-derived compounds, specifically antioxidants, have played an important role in scavenging the free radicals present under diseased conditions. The persistent generation of free radicals in the body leads to inflammation and can result in even more severe diseases such as cancer. Notably, the antioxidant potential of various plant-derived compounds prevents and deregulates the formation of radicals by initiating their decomposition. There is a vast literature demonstrating antioxidant compounds’ anti-inflammatory, anti-diabetic, and anti-cancer potential. This review describes the molecular mechanism of various flavonoids, such as quercetin, kaempferol, naringenin, epicatechin, and epicatechin gallate, against different cancers. Additionally, the pharmaceutical application of these flavonoids against different cancers using nanotechnologies such as polymeric, lipid-based nanoparticles (solid–lipid and liquid–lipid), liposomes, and metallic nanocarriers is addressed. Finally, combination therapies in which these flavonoids are employed along with other anti-cancer agents are described, indicating the effective therapies for the management of various malignancies.
Consumer Intention to Switch from Cash to Mobile Payment in Restaurants During and After Pandemic

During the Covid-19, more and more consumers complete transactions on mobile devices and enjoy their orders at home. However, it is unknown whether mobile payment will become normal when they return to restaurants. Results show that the perceived inconvenience of cash, the perceived convenience of mobile payment and deal proneness facilitate the intention of consumers to switch to mobile payments. The perceived security and privacy, perceived health risk, consumer innovativeness, and social influence have a direct bearing on consumer intent to switch to mobile payment and moderate switching intention. This study also provides theoretical and managerial implications. © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.
Automatic Arabic Grading System for Short Answer Questions

The era of technology and digitalization has been advantageous to the educational sector. The examination system is one of the most important educational pillars that have been affected. As automatic exam grading is a revolution in the history of exam development, and therefore the automatic grading system has started to replace the traditional assessment system. The automatic grading system allows the examiners to automatically assign grades for students’ answers compared to the model answers. And, generate results based on the examiners’ answers. In this paper, we especially address the short answer questions. Most research has been done on the English language. On the other side, few research works have been conducted on Arabic. Moreover, Arabic is considered one of the rare resource languages. This paper is aimed to build an Automatic Arabic Short Answer Grading (AASAG) model using semantic similarity approaches. It is used to measure the semantic similarity between the student and model answer. The proposed model is applied to one of the Arabic scarce publicly available datasets which is called (AR-ASAG). It contains 2133 pairs of models and student answers in several versions such as txt, xml, and db. The efficiency of the proposed model was evaluated through two conducted experiments using two weighting schemas local, and hybrid local and global weighting schema. The developed approach with hybrid local and global weight-based LSA achieved better results than using local weight-based LSA with (82.82%) as F1-score value, and 0.798 as an RMSE (Root-Mean-Square Error) value using hybrid local and global weight-based LSA.
Microneurotrophin BNN27 Reduces Astrogliosis and Increases Density of Neurons and Implanted Neural Stem Cell-Derived Cells after Spinal Cord Injury

Microneurotrophins, small-molecule mimetics of endogenous neurotrophins, have demonstrated significant therapeutic effects on various animal models of neurological diseases. Nevertheless, their effects on central nervous system injuries remain unknown. Herein, we evaluate the effects of microneurotrophin BNN27, an NGF analog, in the mouse dorsal column crush spinal cord injury (SCI) model. BNN27 was delivered systemically either by itself or combined with neural stem cell (NSC)-seeded collagen-based scaffold grafts, demonstrated recently to improve locomotion performance in the same SCI model. Data validate the ability of NSC-seeded grafts to enhance locomotion recovery, neuronal cell integration with surrounding tissues, axonal elongation and angiogenesis. Our findings also show that systemic administration of BNN27 significantly reduced astrogliosis and increased neuron density in mice SCI lesion sites at 12 weeks post injury. Furthermore, when BNN27 administration was combined with NSC-seeded PCS grafts, BNN27 increased the density of survived implanted NSC-derived cells, possibly addressing a major challenge of NSC-based SCI treatments. In conclusion, this study provides evidence that small-molecule mimetics of endogenous neurotrophins can contribute to effective combinatorial treatments for SCI, by simultaneously regulating key events of SCI and supporting grafted cell therapies in the lesion site.
A 27-mW Ka-Band Complex Dielectric Sensor Chip With Readout and Reference Circuits Using 1.2-V Supply in 130-nm SiGe BiCMOS

The capability to sense the dielectric properties of liquids and tissues is valuable in many applications, because accurate assessment of the material composition can be made from the complex permittivity measurements. Laboratory-on-chip systems for continuous dielectric monitoring impose low-voltage and low-power operation on the circuits to enable long-term use without battery replacement. In addition, high level of integration is necessary to facilitate the implementation of 2-D sensor arrays. This letter presents the design and characterization of a SiGe BiCMOS capacitive sensing oscillator-based complex dielectric sensor chip at Ka -band operating with a supply voltage of <inline-formula> <tex-math notation="LaTeX">$\mathrm {1.2 \, \text {V}}$ </tex-math></inline-formula> and consuming <inline-formula> <tex-math notation="LaTeX">$\mathrm {27 \, \text {m} \text {W} }$ </tex-math></inline-formula>. The chip is integrated with readout circuits to provide simple dc outputs for easier processing and with reference circuits to serve as a tool to compensate for both the external and internal variations, which affect the sensor output. The experimental results show that different alcohols can be differentiated using the proposed sensor chip.
A comprehensive review of the components of nurse-coordinated care which are most effective in preventing coronary heart diseases

Coronary artery disease occurs when there is inadequate blood flow to the heart muscle as a consequence of coronary artery blockage, resulting in heart muscle failure. During normal heart action, cardiac muscles will always need an adequate supply of blood to fulfill their oxygen requirements. Coronary heart disease is the most common kind of cardiovascular disease in adults and the leading cause of mortality in the United States. Growing understanding of the possible significance of environmental and lifestyle variables in disease development has enhanced the job of the nurse coordinator, whether at a lower or higher level of responsibility, to keep current ondiagnostic procedures, clinical symptoms, and innovative treatment choices. According to the national cardiovascular control program, secondary prevention of cardiovascular disease has increased, including measures such as cholesterol management, blood pressure monitoring, and smoking cessation. If you know more about NCC, it might be easier to figure out what roles it could play and what effects its use might have.
Drought Risk Assessment and Monitoring of Ilocos Norte Province in the Philippines Using Satellite Remote Sensing and Meteorological Data

Drought has been known to be a natural hazard reflecting geographic and climatic characteristics. Satellite technology advancements have benefited drought assessment and monitoring to formulate plans for dealing with this slow-onset disaster. However, combining satellite remote sensing (RS) and meteorological data for drought monitoring is lacking in the literature. This study uses satellite RS and meteorological-based drought indicators to assess drought risk in the Ilocos Norte, Philippines. Data analysis included the retrieval of vegetation conditions using Sentinel-1 and Sentinel-2 data. The standardized precipitation index (SPI) and Keetch–Byram drought index (KBDI) were calculated to account for climatic variabilities. Results revealed that the Sentinel-1 backscatter coefficient decreased by −2 dB in the cropland area, indicating crop growth irregularities compared to grassland areas. These irregularities were supported by Sentinel-2 normalized difference vegetation index (NDVI) strong fluctuations during the two-year observation period. A significant coefficient of determination (R2 > 0.60) between the Sentinel-1 backscatter coefficient and Sentinel-2 NDVI was observed for the study area. On the one hand, only KBDI significantly correlated (R2 > 0.60) with the cropland area’s RS data-derived drought indicators. These results revealed RS data variability for drought risk management but are still valuable for developing an early warning system.
Self-Correcting Quadratic Programming-Based Robot Control

Quadratic programming (QP)-based controllers allow many robotic systems, such as humanoids, to successfully undertake complex motions and interactions. However, these approaches rely heavily on adequately capturing the underlying model of the environment and the robot’s dynamics. This assumption, nevertheless, is rarely satisfied, and we usually turn to well-tuned end-effector PD controllers to compensate for model mismatches. In this article, we propose to augment traditional QP-based controllers with a learned residual inverse dynamics (IDs) model and an adaptive control law that adjusts the QP online to account for model uncertainties and unforeseen disturbances. In particular, we propose: 1) learning a residual IDs model using the Gaussian Process and linearizing it so that it can be incorporated inside the QP-control optimization procedure and 2) a novel combination of adaptive control and QP-based methods to avoid the manual tuning of end-effector PID controllers and faster convergence in learning the residual dynamics model. In simulation, we extensively evaluate our method in several robotic scenarios ranging from a 7-degrees of freedom (DoFs) manipulator tracking a trajectory to a humanoid robot performing a waving motion for which the model used by the controller and the one used in the simulated world do not match (unmodeled dynamics). Finally, we also validate our approach in physical robotic scenarios where a 7-DoFs robotic arm performs tasks where the model of the environment (mass, friction coefficients, etc.) is not fully known.
Detection algorithm of potential abnormal targets in housing demolition site

Abnormal target detection has been widely used in the field of intelligent monitoring, but its application in housing demolition site is still in its infancy. Thus, on the basis of clearly defining the time, space and category of latent anomalous targets in the housing demolition site, detection algorithm of potential abnormal targets in housing demolition site is proposed in this paper. In order to meet the real-time requirements, some lightweight improvements are designed on YOLOX. Firstly, in order to reduce redundant computing, the backbone network is optimized. At the same time, ECA attention module is introduced to improve the information exchange between channels. Secondly, the DAM module is designed to enhance the receptive field of the effective feature map, and the Ghost module is used to replace the standard convolution block. The experimental data set is composed of MOCS dataset, and 3000 images actually taken at the housing demolition site. The experimental results on the dataset show that the FPS and mAP values of our model reach 57.7 and 83.9% respectively, which fully meet the actual needs of site monitoring.
Prediction of steering wheel angle at night based on CNN

In the past few years, the development of autopilot has made great progress. Autonomous vehicle is composed of many parts, including environmental perception and decision control. Steering angle prediction is particularly important in the control of autonomous vehicle and has attracted extensive attention. However, most of the existing models study the behavior methods during the day and have poor compatibility to night traffic environment. This paper is conducted to overcome this shortcoming through deep learning, which is supposed to automatically study relevant features from driving data without manual intervention. Specifically, the convolutional neural network (CNN) with residual structure has been used to build a model for learning and training, and the training data comes from the unity simulator. Based on this model, the steering wheel angle is predicted. The prediction results show that compared with other learning methods based on CNN, this model has higher accuracy in the case of poor lighting at night, and could be able to conform to several driving scenes as well as less revisions.
Performance analysis of a free-space laser communication system with a Gaussian Schell model

In practice, due to reasons related to the characteristics of the laser device and the inevitable error of the processing technique, a laser beam emitted from a communication terminal is represented by the Gaussian–Schell model. The incident optical intensity at the receiver aperture is affected by the source coherence parameter through atmospheric turbulence. With full consideration of both the average optical intensity and the scintillation, the statistical distribution of the optical intensity and the average bit error rate (BER) of an on-off keying (OOK) receiver is obtained. The results indicate that the effect on the degradation of the average optical intensity is reduced with a smaller beamwidth. The performance of the OOK receiver degrades drastically with the increasing source coherence parameter. Moreover, when the beamwidth becomes larger, the BER0 with a consistent source coherence parameter shifts to the side of lower BER. The goal of this work is to improve the redundancy design of the laser communication receiver system.
Combined In Vivo Microdialysis and PET Studies to Validate [11C]Yohimbine Binding as a Marker of Noradrenaline Release

The noradrenaline system attracts attention for its role in mood disorders and neurodegenerative diseases but the lack of well-validated methods impairs our understanding when assessing its function and release in vivo. This study combines simultaneous positron emission tomography (PET) and microdialysis to explore if [11C]yohimbine, a selective antagonist radioligand of the α2 adrenoceptors, may be used to assess in vivo changes in synaptic noradrenaline during acute pharmacological challenges. Anesthetised Göttingen minipigs were positioned in a head holder in a PET/CT device. Microdialysis probes were placed in the thalamus, striatum and cortex and dialysis samples were collected every 10 min. Three 90 min [11C]yohimbine scans were acquired: at baseline and at two timepoints after the administration of amphetamine (1–10 mg/kg), a non-specific releaser of dopamine and noradrenaline, or nisoxetine (1 mg/kg), a specific noradrenaline transporter inhibitor. [11C]yohimbine volumes of distribution (VT) were obtained using the Logan kinetic model. Both challenges induced a significant decrease in yohimbine VT, with time courses reflecting their different mechanisms of action. Dialysis samples revealed a significant increase in noradrenaline extracellular concentrations after challenge and an inverse correlation with changes in yohimbine VT. These data suggest that [11C]yohimbine can be used to evaluate acute variations in synaptic noradrenaline concentrations after pharmacological challenges.