Miracle-dz/UniFAR-FTUs huggingface dataset:
Secondary students’ mathematical reasoning in terms of learning styles on online learning

Since COVID-19 was declared a global pandemic, learning has shifted from face-to-face to online. It is a novel environment, particularly in Indonesia. This study aims to determine the profile and correlation between students' mathematical reasoning abilities and learning styles in online learning. The research method used was quantitative. The population was grade VIII students studying in public Junior High School (JHS) in DKI Jakarta province. The sample was 400 respondents, consisting of 208 males and 192 females, using random cluster sampling. To identify the relationship between mathematical reasoning ability and learning style, to be more specific, the researchers took a sample of one class consisting of 39 respondents. The research instrument was in the form of a questionnaire and mathematical ability test questions in the form of a description. The data analysis technique used descriptive statistics and correlation analysis. The results showed that: (1) the tendency of students' mathematical reasoning abilities was included in the medium category, (2) students had varied learning styles, namely visual, auditory, and kinesthetic learning styles (3) the tendency of students learning styles of public JHS in DKI Jakarta is visual learning style with a percentage of 32.25% as many as 129 students from 400 respondents, (4) there is a significant relationship between mathematical reasoning abilities and student learning styles with a Pearson correlation score of 0.565, and the relationship between the two variables is included in the category of moderate correlation. In this case, choosing a suitable learning approach can impact students' ability to think mathematically.
Augmented Reality Authoring of Digital Twins: Design, Implementation and Evaluation in an Industry 4.0 Context

This paper deals with Digital Twins (DTs) for Industry 4.0 factories, and their implementation in the context of a reconfigurable factory. This context implies a modification of the layout of the workstations during production, and thus requires a live update of the digital twins according to these modifications. We needed this update done by the operators directly on the workstations using an AR authoring tool. A literature review helped us to determine the criteria that a tool should fulfill in order to achieve this goal. The most important criteria are that the tool should be suitable for use by operators not trained in AR, that the learning curve should be short, and that it should be usable in a reconfigurable factory context. We created a DT containing all the necessary factory data and 3D models of the workstation interaction zones of a real assembly line. We then developed a tool enabling operators to match the DTs with their physical twin (PT) in AR, as well as to update their position in case of a reconfiguration. The experimentation we carried out confirms our analysis and shows us that it is possible to deploy a DT in a factory quite simply if the positioning of the DTs is done by direct manipulation (the 3D objects are co-located with the operator’s hand) with the help of an AR display device.
Robust structural health monitoring under environmental and operational uncertainty with switching state-space autoregressive models

Existing methods for structural health monitoring are limited due to their sensitivity to changes in environmental and operational conditions, which can obscure the indications of damage by introducing nonlinearities and other types of noise into the structural response. In this article, we introduce a novel approach using state-space probability models to infer the conditions underlying each time step, allowing the definition of a damage metric robust to environmental and operational variation. We define algorithms for training and prediction, describe how the algorithm can be applied in both the presence and absence of measurements for external conditions, and demonstrate the method’s performance on data acquired from a laboratory structure that simulates the effects of damage and environmental and operational variation on bridges.
Adipsin: a biomarker of gastrointestinal toxicity mediated by a functional gamma secretase inhibitor.

Adipsin: a biomarker of a FGSI gastrointestinal toxicity. were increased in FGSI treated rats. The mouse adipsin proximal promoter contains a putative binding site for the Notch induced transcriptional regulator Hes-1, which we demonstrate is able to bind Hes-1. Additional studies in 3T3-L1 preadipocytes demonstrate that this FGSI inhibits Hes-1 expression while upregulating adipsin expression. Over-expression of Hes-1 was able to downregulate adipsin expression and block pre-adipocyte differentiation. We propose that adipsin is a Hes-1 regulated gene that is de-repressed during FGSI mediated disruption of Notch/ Hes-1 signaling. Additionally, the aberrant expression of adipsin, and its presence in feces may serve as a noninvasive biomarker of gastrointestinal toxicity associated with perturbed Notch signaling.
University of Birmingham Effects of Aggregatibacter actinomycetemcomitans leukotoxin on neutrophil migration and extracellular trap formation

Background : Aggressive periodontitis is associated with the presence of Aggregatibacter actinomycetemcomitans , a leukotoxin (Ltx)-producing periodontal pathogen. Ltx has the ability to lyse white blood cells including neutrophils. Objectives : This study was aimed at investigating the interactions between neutrophils and Ltx with regard to the chemotactic properties of Ltx and the release of neutrophil extracellular traps (NETs). Methods : Neutrophils from healthy blood donors were isolated and incubated for 30 min and 3 h with increasing concentrations of Ltx (1, 10, and 100 ng/mL) as well as with A. actinomycetemcomitans strains (NCTC 9710 and HK 1651) producing different levels of Ltx. Formation of NETs and cell lysis were assessed by microscopy, fluorescence-based assays, and measurement of released lactate dehydrogenase. Neutrophil migration in response to different Ltx gradients was monitored by real-time video microscopy, and image analysis was performed using ImageJ software. Results : Although Ltx (10 and 100 ng/mL) and the leukotoxic A. actinomycetemcomitans strain HK 1651 lysed some neutrophils, other cells were still capable of performing NETosis in a concentration-dependent manner. Low doses of Ltx and the weakly leukotoxic strain NCTC 9710 did not lead to neutrophil lysis, but did induce some NETosis. Furthermore, all three concentrations of Ltx enhanced random neutrophil movement; however, low directional accuracy was observed compared with the positive control (fMLP). Conclusions : The results indicate that Ltx acts both as a neutrophil activator and also causes cell death. In addition, Ltx directly induces NETosis in neutrophils prior to cell lysis. In future studies, the underlying pathways involved in Ltx-meditated neutrophil activation and NETosis need to be investigated further.
Estimating Subjective Video Quality while using Mobile Terminal

: In this paper, we investigate to estimate the subjective video quality of mobile users in a real situation of daily life. We conduct an experiment to collect bio-signals and sensor data from three subjects for a week as well as their contexts by questionnaire, and machine learning algorithms including Random Forest and k-Nearest Neighbor are applied for the estimation. The experimental results show that the subjective video quality is estimated accurately by Random Forest, while the contribution of users’ context is not confirmed. It suggests that the subjective video quality can be well estimated by bio-signals and sensor data of mobile users in a real situation.
Employment and Social Protection Job Characteristics and Mulit-dimensional Sorting: a Vignette Study Among Engineers

We conduct a vignette study to investigate how diverse job attributes induce worker self-selection with respect to personality characteristics and economic and social preferences. Respondents rank-order five sets of three hypothetical jobs that are defined by eight attributes. The values of each of these attributes are randomly generated from a set of possible outcomes. Attributes include: salary, teamwork, workload, autonomy, performance pay, focus of the company, occupation, and job security. The sample consists of 1498 master students from two technical universities in the Netherlands. We find that all included job attributes are significantly related to how subjects rank jobs, with the exception of performance pay. We find predicted sorting patterns along the dimensions of gender, competitiveness, trust, and altruism. Focus of the company appears to be among the most important attributes to induce self-selection: a strong profit orientation tends to attract selfish, competitive men.
A SYSTEM FOR HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES

The diagnosis of heart disease is most complicated and tedious task in the field of medical science. Thus there is a need for development, a support system that will help medical practitioners to detect heart disease of a patient. Heart disease is something that cannot be detected by physical observation, but by analyzing different constraints that is associated with this disease. The diagnosis depends on the careful analysis of different clinical and pathological data of the patient by medical experts, which is a complicated process. We propose efficient algorithm hybrid with ANN (Artificial Neural Network) and K-mean technique approach for heart disease prediction. The main objective of our model is to develop a prototype which can determine and extract known knowledge related with heart disease from the past heart disease database record. After implementing it and comparing with other techniques which have been used previously, our prediction came out to be around 87.35% which is way better compared with other techniques.
E cacy and Safety of Low-Dose Prasugrel Versus Clopidogrel in Patients With Acute Coronary Syndrome or Patients Undergoing Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis

Yuttana Wonngsalap University of Phayao School of Pharmaceutical Sciences Supakorn Ungsriwong University of Phayao School of Pharmaceutical Sciences Wanalee Kumtepm University of Phayao School of Pharmaceutical Sciences Surasak Saokaew University of Phayao School of Pharmaceutical Sciences Vichai Senthong Khon Kaen University Faculty of Medicine Kirati Kengkla (  kirati.ke@gmail.com ) University of Phayao School of Pharmaceutical Sciences https://orcid.org/0000-0001-6726-5706
IMAGE SEGMENTATION USING COLOR–TEXTURE MODEL

— Image segmentation is the process of dividing the image into semantically significant regions or objects. These regions are recognized by further processing steps. This project represents a novel spatially-constrained color-texture model for hierarchical segmentation of very high resolution images. In this project we are segmenting the given image into meaningful regions where we can extract the required regions for future uses such as content based image retrieval, video surveillance, medical imaging and in so many areas. For a given image, the method starts with initial partition where the image is partitioned into many homogenous regions, there after represent the regions using a region adjacency graph in which a novel spatially-constrained color-texture model is used to measure the distances between adjacent regions. Finally a step wise optimized region merging process is applied to obtain hierarchical segmentation results. These results show that the proposed method is highly efficient and gives better results among other existing color–texture segmentation methods. The areas of different colors and textures are properly partitioned. That is partially contributed by the adaptive weighting of color and textural features, which leads to the full use of the color and texture features. The spatial constraint contributes a lot to the good performance.
Structural health monitoring: Closing the gap between research and industrial deployment

There has been a large volume of research on structural health monitoring since the 1970s but this research effort has yielded relatively few routine industrial applications. Structural health monitoring can include applications on very different structures with very different requirements; this article splits the subject into four broad categories: rotating machine condition monitoring, global monitoring of large structures (structural identification), large area monitoring where the area covered is part of a larger structure, and local monitoring. The capabilities and potential applications of techniques in each category are discussed. Condition monitoring of rotating machine components is very different to the other categories since it is not strictly concerned with structural health. However, it is often linked with structural health monitoring and is a relatively mature field with many routine applications, so useful lessons can be read across to mainstream structural health monitoring where there are many fewer industrial applications. Reasons for the slow transfer from research to practical application of structural health monitoring include lack of attention to the business case for monitoring, insufficient attention to how the large data flows will be handled and the lack of performance validation on real structures in industrial environments. These issues are discussed and ways forward proposed; it is concluded that given better focused research and development considering the key factors identified here, structural health monitoring has the potential to follow the path of rotating machine condition monitoring and become a widely deployed technology.
Education Expenditures, Inequality and Economic Growth: Empirical Analysis of the Transmission Channels

Many economists have confirmed the negative and direct relationship between economic growth and income inequality. Recent studies have tried to analyse the different transmission channels through which inequality may affect economic performance indirectly. In this paper, we are only referring to the education channels: public and private education expenditures and human capital, in order to evaluate the role of each in the explanation of this negative correlation. We noticed that a high level of inequality requires more public resources this may impede economic growth. Income inequality also discourages private financing in education and human capital accumulation which leads to a sluggish economic growth. These findings imply that private education expenditure is the most important channel which explains this negative relationship reported in the literature.
A Novel Low-Latency V2V Resource Allocation Scheme Based on Cellular V2X Communications

In vehicular ad hoc networks (VANETs), cellular vehicle-to-everything (C-V2X) is an emerging technology for communications between vehicle-to-infrastructure, vehicle-to-pedestrian, and vehicle-to-network which improves traffic efficiency, road safety, and the availability of infotainment services. Herein, a novel V2V-enabled resource allocation scheme based on C-V2X technology is proposed to improve the reliability and latency of VANETs. The key idea is that V2V communications based on cellular-V2X technology among vehicles remove the contention latency and can assist for longer distance communications. Particularly, we propose a hybrid architecture, where the V2V links are controlled by the cellular eNodeB in the overlay scheme. In this scheme, every vehicle periodically checks its packet lifetime and requests the cellular eNodeB to determine V2V links. The optimum resource allocation problem at the cellular eNodeB is to choose optimum receiver vehicles to determine V2V links and allocate suitable channels to minimize the total latency. This problem is equivalent to the maximum weighted independent set problem (MWIS-AW) with associated weights, which is NP-hard. In order to compute the weights, an analytical approach is developed to model the expected latency and packet delivery ratio. Moreover, a greedy cellular-based V2V link selection algorithm is proposed to solve MWIS-AW problem and develop a theoretical performance lower bound. Simulation results show that the proposed scheme significantly outperforms the existing schemes in terms of latency, throughput, and packet delivery ratio.
Supplementary Material: Quantifying the Limits of Immunotherapies in Mice and Men

Immunotherapies in Mice and Men Liam V Browna,b*, Eamonn A Gaffneya, Ann Agerc, Jonathan Waggd, and Mark C Colesb* aWolfson Centre For Mathematical Biology, Mathematical Institute, University of Oxford bKennedy Institute of Rheumatology, University of Oxford cSystems Immunity University Research Institute and Division of Infection and Immunity, School of Medicine, Cardiff University dEPFL Innovation Park, AC Immune SA, Lausanne, Switzerland *Corresponding authors: LVB: (last-name)@maths.ox. ac.uk. MCC: mark.coles@kennedy.ox. ac.uk January 27, 2021
Study of up & down conversion technique by all-optical sampling based on SOA-MZI

Frequency mixing is a key function existing in different systems, especially in mixed photonic-microwave ones. Today, the supremacy of optical networks to carry high bitrate data over large distances motivates the optical implementation of such functions to benefit from the low loss, high bandwidth, low size and weight of optical technologies. In this work, we study a photonic mixer based on a SOA-MZI (Semiconductor Optical Amplifier Mach-Zehnder Interferometer) device and a sampling technique allowing both conversion towards high and low frequencies.The involved mixing principle exploits the spectral characteristics of a sampled signal in which replicas of the original spectrum exist at different other frequencies. Basing the frequency conversion on a sampling technique gives two advantages: the photonic mixer configuration is the same for up and down conversions, and the frequency of the local oscillator can be less than the addressed frequency range.The implementation of such a sampling technique needs an optically-controlled high-frequency optical switch. As shown in this work, a SOA-MZI can play this role. Depending on the relative phase between its arms, an interferometric structure (MZI) can transmit or cancel an optical input signal. By locating one SOA in each arm of the MZI structure, the cross-phase modulation that exists inside an SOA is exploited to optically control the optical switch state of the MZI.Controlled by an optical pulse source, this optical switch is able to sample an optical input signal carrying complexmodulated data. Frequency conversions of mono and multi-carrier signals in the range 0.5-39.5 GHz have been successfully achieved. By using a differential configuration of the SOA-MZI, both up and down conversions at bitrates up to 1 Gb/s are reached.
Human Neutrophils Channels and Blocks Calcium Entry into Multiple Transient Receptor Potential Cytoskeletal Reorganization Internalizes

Store-operated calcium entry (SOCE) is required for polymorphonuclear neutrophil (PMN) activation in response to G protein-coupled agonists. Some immunocytes express proteins homologous to the Drosophila transient receptor potential gene ( trp ) calcium channel. TRP proteins assemble into heterotetrameric ion channels and are known to support SOCE in overexpression systems, but the evidence that TRP proteins support SOCE and are functionally important in wild-type cells remains indirect. We therefore studied the expression and function of TRP proteins in primary human PMN. TRPC1, TRPC3, TRPC4, and TRPC6 were all expressed as mRNA as well as membrane proteins. Immunoﬂuorescence microscopy demonstrated localization of TRPC1, TRPC3, and TRPC4 to the PMN cell membrane and their internalization after cytoskeletal reorganization by calyculin A (CalyA). Either TRPC internalization by CalyA or treatment with the inositol triphosphate receptor inhibitor 2-aminoethoxydiphenyl borane resulted in the loss of PMN SOCE. Cytochalasin D (CytoD) disrupts actin ﬁlaments, thus preventing cytoskeletal reorganization, and pretreatment with CytoD rescued PMN SOCE from inhibition by CalyA. Comparative studies of CytoD and 2-aminoethoxy-diphenyl borane inhibition of PMN cationic entry after thapsigargin or platelet-activating factor suggested that SOCE occurs through both calcium-speciﬁc and nonspeciﬁc pathways. Taken together, these studies suggest that the multiple TRPC proteins expressed by human PMN participate in the formation of at least two store-operated calcium channels that have differing ionic permeabilities and regulatory characteristics. Journal of Immunology, 2004, 172: 601–607. second or of [Ca 2 (cid:1) ] i per second after the addition of external Sr 2 (cid:1) Ca 2 (cid:1) , respectively. This approach renders measurements less dependent on momentary peaks and therefore more reproducible. Also, speciﬁc SOCE currents will often have speciﬁc morphology over time that may be ignored if peak values alone are used (20). The AUC 100 values reported are further corrected to yield agonist-speciﬁc entry by subtracting the AUC 100 for unstimulated cation entry (leak) into an identical aliquot of untreated PMN the isolation studied under identical conditions.
A VERSATILE PLANT: NIRGUNDI ( VITEX NEGUNDO LINN . ) W.S.R TO ITS MEDICINAL USE AND PHARMACOLOGICAL ACTIVITY

Vitex negundo (Nirgundi) belongs to family Verbenaceae is one of the very useful plant in Indian System of medicine. The Sanskrit name Nirgundi literally means ‘that which protects the body from all diseases’. The plant is referred in the Indian traditional system as ‘ Sarvaroganivarini’ means, the remedy for many diseases. All parts of nirgundi plant especially its leaves contain numbers of secondary metabolites such as alkaloids, phenols, flavonoids, glycosidic irridoids, tannins and terpenes. Due to these phytochemicals, Nirgundi attributed to possess pharmacological activities like anti-inflammatory, anti-oxidant, analgesic, antipyretic, antibacterial, larvicidal, nephroprotective, hepatoprotective, anti- HIV activity, anti-eosinophilic, anti-cancer and anti-snake venom activity etc. It is a multi-purpose herb and used both for external application in the form of paste/oil etc and also for internal use in the form of powder, leaf juice extract or decoction. The present review aim to compile comprehensive information on Ayurvedic literature, pharmacognostic characteristics, phytochemical constituents, therapeutical uses and pharmacological actions of Vitex negundo Linn.
The P-3 C to a-4 H Phase Transfonnation and Microstructural Development in Silicon Carbide Hot

The beta-3C to alpha-4H phase transformation in SiC, hot pressed with <5% total Al, B, and C additions, occurs via a growth of the hexagonal phase out of the initial submicron, cubic seed grain. The propensity of parallel stacking faults in the initial beta grain results in anisotropic growth of the beta grain, which develops a switch-over in stacking to the alpha-4H structure as it grows at temperatures above 1700°C. The anisotropy of the 4H structure enhances elongated growth to form plate-like, dual-phase grains, with an atomically flat top terminating the alpha phase and an irregular, faceted bottom terminating the beta phase. Subsequent growth above 1850°C develops an interlocking, plate-like microstructure, with high toughness (Kc > 9 MPa ml/2) and high strength (> 700 MPa); yet the initial beta seed portion of the grain is retained. Although motion of grain boundaries and grain shapes are strongly influenced by interface attachment kinetics regulated by a -1 nm thick liquid phase, the macroscopic driving force is akin to Ostwald ripening. Partial dislocation motion is not operative in this growth-induced transformation. The complex crystal structures, microstructures, and secondary phases require an interactive XRD, SEM, and HR-TEM analysis; and reevaluations of other individual datum reported for polycrystalline SiC are consistent with this growth-induced transformation mechanism.