Miracle-dz/UniFAR-FTUs huggingface dataset:
IMPACT OF FACTORS ON THE INTENTION TO USE RIDE-HAILING TECHNOLOGY APPLICATIONS DURING THE COVID-19 EPIDEMIC IN VIETNAM

This article aims to define the intent to use ride-hailing technology applications in the current Covid-19 translation situation and related factors such as: The usefulness of ride-hailing application, the attractiveness of private cars, the influence of the subjective norms and perceived behavior control factor The study surveyed 342 questionnaires in Vietnam with a Likert scale Hypothesis testing in this study uses the validity test, reliability test, multiple linear regression analysis, and the correlation between factors with SPSS version 22 0 The research results show that all 4 factors have a positive influence on the intention to use ride-hailing applications Of which, the the usefulness of ride-hailing application factor has the strongest impact on the intention to use ride-hailing technology apps, and the attractiveness of the private vehicle had the least influence on the intention to use ride-hailing technology applications during the Covid-19 season
RECORDS OF PHARMACEUTICAL AND BIOMEDICAL SCIENCES Phytochemical Constituents and Biological Activities of Jasonia montana (Asteraceae)

Nature has bestowed on people a very rich botanical wealth including a large number of naturally occurring plants in different parts of the world. Natural products from plant resources, including bio-molecules and secondary metabolites, usually exhibit some kind of biological activities in traditional and modern medicine. The Sinai peninsula is considered a repository of indigenous medicinal plants that have been used for hundreds of years for treatment of human ailments. Jasonia montana [Chiliadenus montanus] belongs to family Asteraceae, one of the largest families of flowering plants. It commonly grows in the Mediterranean region as well as the Sinai Peninsula, locally known as Haneida. The plant has a strong pleasant aromatic odor and is used in folk medicine for diarrhea, stomach-ache and chest diseases. Recent studies suggested that most of the reported biological activities of J. montana are due to its rich content of polyphenols, particularly flavonoids. This review highlights the phytochemical constituents of this important plant as well as its different reported biological activities.
Assessment of Antitumor Activity of Vinca herbacea on Human Ovarian Cancer Cell Line

Background: It seems that Vinca. herbacea has an anti-tumor effect. Here, the immunotherapeutic effect of this compound is assessed against human ovarian cancer (SKOV3) cells because of the high incidence of this tumor in women. Materials and Methods: The cytotoxic activity of V. herbacea extract against human ovarian cancer (SKOV3) cells was determined by MTT assay. The apoptosis-inducing potential of V. herbacea extract was investigated using the FITC-V Annexin kit. The Matrigel invasion assay was used to investigate the ability of V. herbacea extract in reducing ovarian cancer cells invasion. Real-time PCR using specific primers was performed to investigate the expression of angiogenesis (VEGFR1, VEGFR2, and VEGF-A), apoptosis (Bcl-2 and Bax), and metastasis (MMP2 and MMP9) genes. Results: V. herbacea caused a significant cytotoxic effect against human ovarian cancer cells in a dose-dependent manner. V. herbacea induced apoptosis in SKOV3 cells through caspase-3 activation and an increase in the expression ratio of Bax/Bcl-2. V. herbacea inhibited cancer cells’ angiogenesis, which was evident by the significant reduction in the expression of angiogenesis-related genes, including VEGF, VEGFR-1, and VEGFR-2. Besides, V. herbacea inhibited cancer cell adhesion and invasion. Conclusion: V. herbacea extract elicits a robust cytostatic effect in SKOV3 cells by modulating the activity and or the expression of proteins regulating the process of cellular apoptosis, adhesion invasion, and angiogenesis.
RefiNet: 3D Human Pose Refinement with Depth Maps

Human Pose Estimation is a fundamental task for many applications in the Computer Vision community and it has been widely investigated in the 2D domain, i.e. intensity images. Therefore, most of the available methods for this task are mainly based on 2D Convolutional Neural Networks and huge manually-annotated RGB datasets, achieving stunning results. In this paper, we propose RefiNet, a multi-stage framework that regresses an extremely-precise 3D human pose estimation from a given 2D pose and a depth map. The framework consists of three different modules, each one specialized in a particular refinement and data representation, i.e. depth patches, 3D skeleton and point clouds. Moreover, we present a new dataset, called Baracca, acquired with RGB, depth and thermal cameras and specifically created for the automotive context. Experimental results confirm the quality of the refinement procedure that largely improves the human pose estimations of off-the-shelf 2D methods.
How Do Pre-service Mathematics Teachers Organize Information Sources in the WebQuest?

Article History: Purpose: WebQuests are employed for many different instructional aims by offering students to take an active role and encouraging their critical thinking skills to construct their own meaning about an inquiry. The purpose of the study was to explore pre-service mathematics teachers’ decisions about the organization of information sources in which students are supported to think critically for school algebra using WebQuests. Method: The case study approach was utilized in this study. The participants were pre-service mathematics teachers attending a Bachelor’s program in mathematics teaching in middle school (N = 48). The WebQuest design was addressed to prompt pre-service teachers to connect mathematics with technology. The framework of critical thinking skills developed by Jonassen (2000) was used for data analysis. Received: 03 Feb. 2020 Received in revised form: 26 Sept. 2020 Accepted: 18 Nov. 2020 DOI: 10.14689/ejer.2021. 91.11
Fog Computing Architectures, Privacy and Security Solutions

Fog computing is a promising computing paradigm that extends cloud computing to the edge of networks where it provides services closer to users characterized by closer proximity to end-users and bigger geographical distribution, local resource pooling, latency reduction and backbone bandwidth savings. Fog computing supports vertically-isolated, latency-sensitive applications by providing ubiquitous, scalable, layered, federated, and distributed computing, storage, and network connectivity. In this paper, we have comprehensively surveyed and identified fog computing bottlenecks by showing the research gaps, classification of insights on fog computing corresponding state-of-earth resolutions. The Fog situates between the devices that can be connected on Internet known as Internet of Things (IoT) like electronics to allow connectivity, interaction and exchange data and the cloud. This paradigm faces security and privacy challenges for instance intrusion, cyber-crimes in design, implementation, operation or internal control. Besides, those inherited from cloud computing for instance integrity, confidentiality, availability, trust and reputation, authentication among others were studied in early standards.
Association between Atherogenic Index of Plasma and the Risk of Obstructive Sleep Apnea in Korean Adults Who Admitted to the Sleep Clinic

Obstructive sleep apnea (OSA) is a major health problem which is closely related to arousal, sympathetic activation, and oxygen desaturation during sleep. The prevalence of OSA in the general population is estimated to be 9% to 38%; OSA is more common in males, the elderly, and obese individuals relative to the general population [1]. It is well-established that OSA contributes to the increase of cardiovascular morbidity and mortality [2,3]. Subjects with OSA display clinical features similar to those with metabolic syndrome which represents insulin resistance as major characteristics [4,5]. Recently, the atherogenic index of plasma Association between Atherogenic Index of Plasma and the Risk of Obstructive Sleep Apnea in Korean Adults Who Admitted to the Sleep Clinic
MONOCYTE-DERIVED DENDRITIC CELLS ISOLATION AND PHENOTYPIC CHARACTERIZATION

Dendritic cell (DC) is the most powerful inducers and regulators of immune responses, responsible for interaction within the immune system. The ability of DC to induce or regulate/suppress immune responses led to attention in their immunotherapeutic use in various disease types. The aim of the presented study was to generate in vitro CD14+ enriched peripheral blood monocytes (PBMCs) following the culture with human monocyte-derived dendritic cell serum-free differentiation media over ten days with phenotypical analysis and morphological identification for functional studies. In vitro, peripheral blood of human donors samples were collected for the purification of blood CD14+ monocytes that represent the most common origin for DC precursors based on ficoll density gradient separation and human monocyte-derived dendritic cell enriched differentiation medium. After PBMCs isolation, the cell viability, cell yield were determined, the monocyte-derived dendritic cell surface marker expression was detected by flow cytometric analysis after staining with specific fluorescence-conjugated monoclonal antibodies. in vitro culture and differentiation of human monocytes into DCs and their subsequent maturation into mature DC constitute a critical first step for different downstream analysis ranging from an understanding of both human DC biology and function to their use in clinical diagnostics and therapeutic design for different disease.
Identification and Location of Iron Species in Fe/SBA-15 Catalysts: Interest for Catalytic Fenton Reactions

We have used a single SBA-15 silica batch (mesopore diameter of 7.1 nm) and the two-solvent impregnation technique with either pentane or cyclohexane to prepare model samples in which an initial aqueous solution of salt precursor (iron nitrate or iron chloride) is deposited mainly inside silica pores. Detailed characterization by SAXS, WAXS, Ar sorption, TEM (SAED), and UV-visible-NIR spectroscopy is described. Molecular iron species and iron oxide particles are identified. Special emphasis is given to the spatial location of the oxide particles (trapped inside silica pores or dispersed outside silica grains). The formation of hematite external particles is favored when iron chloride is used as a precursor and pentane as a solvent. Spectral signatures that can be attributed either with iron oxide particles or with iron dispersed molecular species (isolated Fe(II)/(III) ions, pairs and/or clusters, films of iron silicate) are detected by UV-visible-NIR spectroscopy. Additional neutron diffraction measurements performed on a sample particularly enriched in external hematite particles indicate a very low magnetic moment of 3.9 (1) μB per iron atom and show that external hematite particles are not significantly polluted by Si atoms. Model catalysts, all containing molecular species but particularly enriched in either external or internal iron oxide particles, were selected and tested for the catalytic Fenton decomposition (with H2O2 and diluted O2 and under artificial white light) of sodium formate and of an organic copper-containing dye (Reactive Violet 2) in water. Samples enriched in external hematite particles are significantly less active and react less rapidly than samples containing mainly iron species remaining trapped inside silica grains. Preliminary UV-visible-NIR spectra suggest that strong interactions between molecular species and internal replicated oxide particles are at the origin of an enhanced reactivity.
Certain Investigation on the Challenges and Prospects of Internet of Things (IoT)

IoT means Internet of Things. The Internet of Things is more than a catchphrase; IoT means a classification that is impact how humans interact with equipment, and how human beings deport yourself. The meaning of IoT means linking systems and devices that, until now, haven’t been connected. In general, IoT is also referred as digital intelligence or dumb things. Let us consider an example, an owner of a house lock or unlock their door from a phone through a smart home security system using IoT, and they can adjust their home temperature or operate a security camera to see who is knocking at their door. Based on IoT, business applications were developed. Smart cars are based on the concepts of IoT, traffic has been controlled and adjust and also it is informed to humans regarding the fastest and shortest route. Rapid changes in the interaction between human and the machine.
Chemical expansivity of electrochemical ceramics

To better understand thermal strain in electrochemical ceramics, the temperature and oxidation-state dependence of lattice volume in La0.6Sr0. 4Co0.2Fe0. 8O3−δ (LSCF) were measured. Large values in the apparent thermal expansion coefficient at high temperature (>50 ppm/°C) were caused by changes in oxygen content, not increases in thermal expansivity. This material can be described using an improved thermodynamic formalism that incorporates a new physical property, the chemical expansivity. Our approach opens new avenues for modeling stress and strain in materials, probing defect structure, and analyzing transport and kinetic properties.
Assimilation apparatus indices of maize plants under conditions of the right bank forest steppe of Ukraine

The influence of different methods of basic tillage and post-harvest sowing of oil radish and winter oil rape seeds on maize productivity has been studied. Improving the photosynthetic properties of crops, including corn for grain, is one way to increase their productivity, as today in production are widespread varieties and hybrids that use to form their harvest is not a significant part of its potential (about 6% of possible (Nychyporovych 1955, 1961). Therefore, optimizing the conditions of their growth and development for positive changes in this direction is important. mp3download.link Best YouTube to MP3 converter. Download MP3 from YouTube for Free. one would honestly have expected more on the track mp3-go.net Download Mp3 songs for free Given the legendary pedigree of the man behind the sound downloadmp3-gratis.biz Download mp3 songs online at Mp3 Converter, watch high quality online music videos download-mp3gratis.me watch and download free songs of the highest quality. Listen to songs online here comfortably without any annoying advertisements. metrolagu.com Easy to use and free MP3 downloader. YouTube To MP3 download in seconds using the best YouTube to MP3 converter. YouTube Mp3 Get the latest song by simply typing the latest artist or song title in the Search menu. Mp3 file format with 128 - 320 Kbps bitrate converted from YouTube videos. read at this blog All those artist performances are still available on YouTube today find more here
Touristic’s Destination Brand Image: Proposition of a Measurement Scale for Rabat City (Morocco)

Article history: Received: 14 October, 2020 Accepted: 21 December, 2020 Online: 30 December, 2020 The objective of this article is to highlight the existing relationship between the tourist’s destination brand image of the city of Rabat (Morocco) and its choice by foreign tourists to be visited once again. We suggest a reliable measurement scale able to measure the dimensions and associations of the brand image most memorized by tourists, so as to further attract the researchers and stakeholders curiosity in the tourism sector which face, every day, new challenges of attractiveness and sustainability of tourist destinations in the new Moroccan regionalization context. The survey is carried out on a sample of 454 foreign tourists in the city of Rabat because of the importance that this city requires in terms of overnight stays, that is to say nearly one million in 2018 according to the statistics of the Moroccan Tourism Observatory. The results obtained from the survey show that the functional and abstract associations jointly constitute the brand image of the city of Rabat in the foreign tourist’s memory and that the abstract associations are more significant in the destination’s choice.
Recognizing Human-Object Interaction in Multi-Camera Environments

This work introduces Multi-Fusion Network for human-object interaction detection with multiple cameras. We present a concept and implementation of the architecture for a beverage refrigerator with multiple cameras as proof-of-concept. We also introduce an effective approach for minimizing the required amount of training data for the network as well as reducing the risk of overfitting, especially when dealing with a small data set that is commonly recorded by a person or small organization. The model achieved high test accuracy and comparable results in a real-world scenario at the Event Solutions in Hamburg 2019. Multi-Fusion Network is easy to scale due to shared learnable parameters. It is also lightweight, hence suitable to run on small devices with average computation capability. Furthermore, it can be used for smart home applications, gaming experiences, or mixed reality applications.
Zonal scale and temporal variability of the Asian monsoon
anticyclone in an idealised numerical model

Abstract. The upper-level monsoon anticyclone is studied in a 3-D dry dynamical model as the response of a background circulation without any imposed zonal structure to a steady imposed zonally confined heat source. The characteristics of the background circulation are determined by thermal relaxation towards a simple meridionally varying state, which gives rise to baroclinic instability if meridional gradients are sufficiently large. This model configuration allows study of the dependence of the monsoon anticyclone response on characteristics of both the imposed heating and the background state, in particular including interactions between the anticyclone and the active dynamics on its poleward side in the form of the jet and baroclinic eddies. As characteristics of forcing and background state are varied a range of different behaviours emerges, many of which strongly resemble phenomena and features associated with the monsoon anticyclone as observed in re-analysis data. For a resting background state the time-mean anticyclone is highly extended in longitude to the west of the forcing region. When the active mid-latitude dynamics is included the zonal extent of the time-mean anticyclone is limited, without any need for the explicit upper-level momentum dissipation which is often included in simple theoretical models, but difficult to justify physically. We further describe in detail the spontaneous emergence of temporal variability in the form of westward eddy shedding from the monsoon anticyclone for varying strength of the imposed heating. By varying the strength of the background mid-latitude dynamics we observe a transition of the system from a state with periodic westward eddy shedding to a state dominated by eastward shedding. The details of the time-mean structure and temporal evolution depend on the structure of the background flow and for certain flows the monsoon anticyclone shows signs of both westward and eastward shedding.
The effect of digital story applications on students' academic achievement: A meta-analysis study

The digital story, which is considered as a method that focuses on students, and makes them engaged in the learning process, presents a profile suitable for student-centered modern education systems with this feature. For this reason, digital story has become a subject frequently studied in educational research for the last 20 years. In this study, it is aimed to synthesize the results obtained from experimental studies on the effect of digital story method on students' academic achievement. The studies examined within the scope of the research have been accessed by using the keywords "digital story, digital storytelling, academic achievement" in Web of Science, ERIC, EBSCOhost, ULAKBİM TR Index, Google Academic and YOK Dissertation databases. According to the results obtained from the analyzes performed according to random effects model at 95% confidence interval using the Comprehensive Meta-Analysis (CMA) software, the average effect size was estimated as 0.750. According to Cohen et al. (2011), this result indicates a high level of impact of digital story applications on increasing students' academic achievement. In educational processes using digital story and other teaching methods, students' academic achievement differences were examined in line with the moderator variables. While the type of course and teaching level variables make a significant difference on the effect sizes of the studies, the type of publication and the study origin variables did not make a significant difference.
The effectiveness of metacognitive therapy in patients with depression: Two years of follow-up

This study evaluated the effectiveness of metacognitive therapy (MCT) in the treatment of major depression. Rumination has attracted increasing interest in the past 15 years and research has demonstrated significant relationship between rumination, depression, and meta-cognition. MCT for depression is a formulation-driven treatment grounded in the Wells and Matthews‟ self-regulatory model. MCT focuses on reducing unhelpful cognitive processes and facilitates metacognitive modes of processing. MCT enables patients to interrupt rumination, reduce unhelpful self-monitoring tendencies, and establish more adaptive styles of responding to thoughts and feelings. MCT was evaluated in six-eight sessions of up to one hour each across three patients with major depressive disorder (MDD). A non-concurrent multiple-baseline with follow-up at one, six and 24 months was used. Patients were randomly allocated to different length baselines and outcomes were assessed via self-report and assessor ratings. Treatment was associated with large and clinically significant improvements in depressive symptoms, rumination and metacognitive beliefs; the gains were maintained over the follow-up
The Study of Organizational Inertia, Business Model Innovation and Organizational Performance in Taiwan Financial Institutions: Organizational Learning Perspective

Due to the characteristic of constraints, organizations tend to remain stable and follow the existing routines. It results in their insensitivity to various threats and opportunities caused by external environment. According to empirical result, organizational inertia negatively and significantly influences organizational learning. Numerous studies argued that organizational learning significantly influences innovation and organizational learning significantly influences organizational performance. Empirical outcome shows that organizational learning positively and significantly influences innovation of business model and organizational performance. In an environment of rapid finetech development, organizational learning leads to originality and innovation, which result in synergy to enhance organizational competitiveness and organizational performance. If organizations can properly manage knowledge, upgrade quality, lower cost and immediately respond to customers’ needs, it is conducive to the outcome of organizational learning and lead to better organizational performance. Innovation of business model allows enterprises and related financial institutions to construct competitive advantage. Innovation of business model causes new operational model, enhances core competence of enterprises, satisfy customers’ needs, improve quality or attribute of current products or lower production cost of products, according to empirical result of this study, innovation of business model positively and significantly influences organizational performance.