Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECTIVENESS OF JOURNALIST QUESTION TECHNIQUE TO IMPROVE STUDENTS’ WRITING SKILL IN NARRATIVE TEXT (An Experimental Study at Eighth Grade Students of SMP N 19 Semarang in the Academic Year of 2014/2015)

___________________________________________________________________ This research is about using Journalist Question technique for teaching writing in junior high school. Journalist Question technique is a technique that can help the students to explore their idea in writing to cover the content of the narrative text. This research that aims to investigate the effectiveness of Journalist Questions technique to improve students’ writing skill in narrative text. The research design used was an experimental research. Tests were used as the instruments to collect the data and information. Before conducting the experiment, try out was given to 33 students of VIII-B to make sure that they were valid and reliable. The researcher used class VIII-D as the experimental group and VIII-C as the control group. Both classes were in the same level, background, and competence. The result of this research showed that the average score of the pre-test in the experimental group was 54.78 and the post-test was 66.42. The improvement on the experimental group was 11.64. While, on the control group, the average score of the pre-test was 53.69 and the post-test was 60.48. The improvement on the control group was 6,73. From the t-test computation of the post-test score, the t-value was higher than t-table (t-value > t-table = 2.083 > 1.998). Therefore, the null hypothesis was rejected and the working hypothesis was accepted. It means that there is a significant difference between the experimental group and the control group. The results indicate that Journalist Question technique technique is effective in improving the writing skill at the eighth graders of SMP Negeri 19 Semarang in the academic year of 2014/2015. It is suggested that the findings of this study could be applied regularly and continously or developed by the English teachers to have a better teaching writing.
Supplemental Material: Alias-Free Generative Adversarial Networks

StyleGAN2 and our generators yield comparable FIDs in all of these datasets. Visual inspection did not reveal anything surprising in the first three datasets, but in BEACHES our new generators seem to generate a somewhat reduced set of possible scene layouts properly. We suspect that this is related to the lack of noise inputs, which forces the generators to waste capacity for what is essentially random number generation [16]. Finding a way to reintroduce noise inputs without breaking equivariances is therefore an important avenue of future work.
Novel and Compact Circular Ring Microstrip Antenna with Parasitic Chip for 5G Applications

In this work, a circular patch antenna is designed and a parametric study in terms of different geometrical parameters is conducted. As a second step, a parasitic chip is introduced on top of the proposed circular patch antenna in the aim to enhance the gain and antenna efficiency. The proposed antenna operates at 25.61 GHz (With a frequency range between24.383 GHz and 27.7 GHz), suitable for 5G applications. The antenna modelling with and without parasitic chip, along with the performance analysis is conducted with CST Studio Electromagnetic (EM) simulator software. A compact size of 10×10×1.547 mm3, easy to fabricate, broadband characteristics up to 3.31 GHz with a high gain up to 6.87 dB, total efficiency of 95 % and a minimum return loss low than -68.02 dB covering the operating frequency range. Lastly, to investigate and validate the antenna overall performance, both frequency and time domain-based simulation is performed, and a good agreement is obtained.
Swift/XRT Deep Galactic Plane Survey Discovery of a New Intermediate Polar Cataclysmic Variable, Swift J183920.1-045350

We report on the Swift/XRT Deep Galactic Plane Survey discovery and multiwavelength follow-up observations of a new intermediate polar (IP) cataclysmic variable, Swift J183920.1-045350. A 449.7 s spin period is found in XMM-Newton and NuSTAR data, accompanied by a 459.9 s optical period that is most likely the synodic, or beat period, produced from a 5.6 hr orbital period. The orbital period is seen with moderate significance in independent long-baseline optical photometry observations taken with the ZTF and SAAO telescopes. We find that the X-ray pulse fraction of the source decreases with increasing energy. The X-ray spectra are consistent with the presence of an Fe emission line complex with both local and interstellar absorption. In the optical spectra, strong Hα, H i, He i, and He ii emission lines are observed, all common features in magnetic CVs. The source properties are thus typical of known IPs, with the exception of its estimated distance of 2.26−0.83+1.93 kpc, which is larger than typical, extending the reach of the CV population in our Galaxy.
Permission Manager

- The objective of this App Permission Manager android application is to provide feature of automatic permission. Day by day Privacy concern required on android. Android doing research and implements the solution on upcoming version but what about the older version? Because so many people still using Old Android version. So here our app comes to solve the problem for that. Android 11 has a lot of useful feature for app permission but globally android older version is running and most of the people concern about their privacy. Our app implements and solves the problem for other older versions.
Identifiability of Tyre Force Contact Prediction from Defor- mation Measurements

The possibility of accurately inferring the external forces applied to a vehicle can directly contribute to better safety systems and thus lowers the chance of injury or loss of life. These external forces are applied to a vehicle through the tyres and are challenging to measure directly. Still, it is possible to measure acceleration, deformation, or strain on the inner surface of a tyre. These measurements are theorized to be strongly linked to the forces produced by the tyre. However, it is still unknown whether or not one can always identify external forces from internal measurements in this way. Research has mainly focused on obtaining estimates of tyre forces rather than establishing to what extent these tyre forces are identifiable. This paper investigates this by conducting a virtual experiment that simulates known external forces applied to the tyre and computes the strains and displacements inside the tyre. A virtual inverse simulation then recovers the external forces from either the deformation or strain computed on the inside of the tyre. The identifiability of the forces recovered by the virtual inverse simulation is investigated by adding artificial measurement noise and initial guess perturbations to quantify the variance in the identified forces.
Preliminary characterization of the prehistoric mine of chocolate flint in Poręba Dzierżna, site 24 (Wolbrom commune, Lesser Poland Voivodeship)

Sudoł-Procyk M. , Krajcarz M. T. , Malak M. and Werra D. H. 2021. Preliminary characterization of the prehistoric mine of chocolate flint in Poręba Dzierżna, site 24 (Wolbrom commune, Lesser Poland Voivodeship). Sprawozdania Archeologiczne 73/2, 109-135. Researches on prehistoric flint mines are currently widely developing, as they allow a deep insight into the past economy, early industry, and the network of trading routes and inter-regional contacts. In the territory of Poland and in general, Central Europe, one of the most important flint raw materials was an Upper Jurassic chert, socalled chocolate flint. In this paper are presented preliminary results of the research of chocolate flint mine in Poręba Dzierżna, site 24 (Kraków-Częstochowa Upland, southern Poland). The outcrop, and anthropogenic relief indicating the activity of prehistoric miners, were discovered in 2013. Recently excavations undertaken on the site recorded the remains of mining shafts, spoil heaps, and rich traces of workshops. The deposits of chocolate flint were previously known only in the Holy Cross Mountains, 130 km to the NE. The research undertaken has therefore a significant impact on the existing interpretations related to the extraction, use, and distribution of chocolate flint by prehistoric communities in Central Europe.
Oil droplets dispersion under a deep-water plunging breaker : Experimental measurements and numerical modeling

1141370) Wave tank experiments were performed to measure the droplets size distribution under the plunging breaking wave. A deep-water plunging breaker of height 20 cm was generated using the dispersive focusing method, and a shadowgraph camera was used to take images of droplets and bubbles of different sizes. For droplets smaller than the 1000 microns, the number-based DSD matched the DS correlation (Delvigne and Sweeney 1988), which gives N(d) ~ d, but N(d) ~ d 9.7 for diameters larger than 1000 microns. A numerical method was designed to study the oil dispersion under breaking waves by coupling the computational fluid dynamic (CFD) with the Lagrangian particle tracking code (NEMO3D) and population balance model (VDROP). The wave hydrodynamics was reproduced using the Reynolds-averaged Navier Stokes approach within a commercial CFD code ANSYS Fluent. The obtained wave hydrodynamics was then used as inputs for the NEM3D code and VDROP model. The numerical results show reasonable agreement with our experimental observation. The approach adopted to produce the DSD reduces the empiricism of the DS correlation, as the approach uses oil properties and measurable wave properties. The D ow naded rom hp://m eridianenpress.com /iosc/article-pdf/2021/1/19528/i2169-3358-2021-1-1141370.pdf by gest on 25 D ecem er 2021
velength Gain-Couple aser Array with Fine Tun

Abstruct- 16-wavelength semiconductor laser array with he wavelength tunability is demonstrated, Utwg gain-COUpled dktributed feedback (DFB) lasers with different ridge waveguide widths. Besides the coarse tuning by the ridge widths, the line achieved with a Ti thin-film resistor integrated on the chip. Due to the gain-coupling effect, 16 singlemode lasing wavelengths around 1.55 jLm in -1 nm Spacing are obtained ShdhneOUSlY. An effective fine-tuning up to 1 nm is observed at a moderate heating power of 100 mW. guarantees high yield of singlemode operation at predictable Bragg modes for individual lasers [7]-[9], the yield for the arrays is high. post-fabrication tunability for individual lasers in the array is In this Paper, we demonstrate a 16-wave1ength gain-coupled
Hand Tracking Method for Multi Modal Interface

This paper proposes hand tracking method using range camera. This camera was located below the hands, facing them. We can detect and track hand to use range-based extraction, connected component analysis process. Our tracking system of hand is more accurate and less sensitive illumination than other hand detection systems. After detection of the hand information from the captured scene, hands are tracked using Kalman filter. Result of hand tracking using our suggested algorithm shows almost 98 % accuracy. So, our hand tracking system will be useful in new multi modal interfaces.
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators

As customized accelerator design has become increasingly popular to keep up with the demand for high performance computing, it poses challenges for modern simulator design to adapt to such a large variety of accelerators. Existing simulators tend to two extremes: low-level and general approaches, such as RTL simulation, that can model any hardware but require substantial effort and long execution times; and higher-level application-specific models that can be much faster and easier to use but require one-off engineering effort.This work proposes a compiler-driven simulation workflow that can model configurable hardware accelerator. The key idea is to separate structure representation from simulation by developing an intermediate language that can flexibly represent a wide variety of hardware constructs. We design the Event Queue (EQueue) dialect of MLIR, a dialect that can model arbitrary hardware accelerators with explicit data movement and distributed event-based control; we also implement a generic simulation engine to model EQueue programs with hybrid MLIR dialects representing different abstraction levels. We demonstrate two case studies of EQueue-implemented accelerators: the systolic array of convolution and SIMD processors in a modern FPGA. In the former we show EQueue simulation is as accurate as a state-of-the-art simulator, while offering higher extensibility and lower iteration cost via compiler passes. In the latter we demonstrate our simulation flow can guide designer efficiently improve their design using visualizable simulation outputs.
A Local Cloud Service Providing Model in Mobile Cloud Computing

Mobile cloud computing (MCC) is widely accepted as a concept that can signicantly improve the processing capacity, storage, and battery time of mobile terminals (MTs) by migrate the data processing and storage to the remote cloud. However, MCC faces long latency problem because the data users’ need are always stored in the remote servers in the cloud. In order to reduce this latency, in this paper, we consider an MCC environment in which the local networks and servers can form a community to create local sub-cloud to support the mobile applications. We propose a local cloud service providing model (LCSPM) for the MCC to support mobile users with low service delivery latency. Based on the LCSPM, we further propose nding local sub-clouds algorithm which splits the local networks and local servers (LSs) into relatively independent local sub-cloud. The numerical results shows that the proposed service providing model can achieve a desirable performance and reduce the service delivery delay of an MCC signicantly.
Keeping It Real! Investigating Presence in Asymmetric Virtual Reality

In this paper we discuss the necessity to preserve the sense of presence in virtual reality (VR). A high sense of presence has proven advantages but is also very fragile to interruptions. We outline scenarios where interaction and communication between persons inside and outside virtual environments are necessary and assess challenges for maintaining the immersed user’s sense of presence in such cases. We also use existing literature to outline an experiment that allows us to try out different methods of collaboration between immersed users and external facilitators in order to discern their effect on presence.
A Novel Methodology for the Synchronous Collection and Multimodal Visualization of Continuous Neurocardiovascular and Neuromuscular Physiological Data in Adults with Long COVID

Reports suggest that adults with post-COVID-19 syndrome or long COVID may be affected by orthostatic intolerance syndromes, with autonomic nervous system dysfunction as a possible causal factor of neurocardiovascular instability (NCVI). Long COVID can also manifest as prolonged fatigue, which may be linked to neuromuscular function impairment (NMFI). The current clinical assessment for NCVI monitors neurocardiovascular performance upon the application of orthostatic stressors such as an active (i.e. self-induced) stand or a passive (tilt table) standing test. Lower limb muscle contractions may be important in orthostatic recovery via the skeletal muscle pump. In this study, adults with long COVID were assessed with a protocol that, in addition to the standard NCVI tests, incorporated simultaneous lower limb muscle monitoring for NMFI assessment. To accomplish such an investigation, a wide range of continuous non-invasive biomedical technologies were employed, including digital artery photoplethysmography for the extraction of cardiovascular signals, near-infrared spectroscopy for the extraction of regional tissue oxygenation in brain and muscle, and electromyography for assessment of timed muscle contractions in the lower limbs. With the novel technique described and exemplified in this paper, we were able to integrate signals from all instruments used in the assessment in a precisely synchronized fashion. We demonstrate that it is possible to visualize the interactions between all different physiological signals during the combined NCVI/NMFI assessment. Multiple counts of evidence were collected, which can capture the dynamics between skeletal muscle contractions and neurocardiovascular responses. The proposed multimodal data visualization can offer an overview of the functioning of the muscle pump during both supine rest and orthostatic recovery and can conduct comparison studies with signals from multiple participants at any given time in the assessment. This could help researchers and clinicians generate and test hypotheses based on the multimodal inspection of raw data, in long COVID and other clinical cohorts.
Bank Liquidity Hoarding Strategies in Uncertain Times: New Evidence from an Emerging Market with Bank-level Data.

The paper explores the impact of uncertainty on bank liquidity hoarding , particularly providing new insights on the nature of the impact by bank-level heterogeneity. We consider the crosssectional dispersion of shocks to key bank variables to estimate uncertainty in the banking sector and include all banking items to construct a comprehensive measure of bank liquidity hoarding. Using a sample of Vietnamese banks during 2007–2019, we document that banks tend to increase total liquidity hoarding in response to higher uncertainty; this pattern is still valid for onand off-balance sheet liquidity hoarding. Further analysis with bank-level heterogeneity indicates that the impact of banking uncertainty on liquidity hoarding is significantly stronger for weaker banks, i. e. , banks that are smaller, more poorly capitalized, and riskier. In testing the “search for yield” hypothesis to explain the linkage between uncertainty and bank liquidity hoarding, we do not find it to be the case. Our findings remain extremely robust after multiple robustness tests.
Plasmonic Spherical Nanoparticles Coupled with Titania Nanotube Arrays Prepared by Anodization as Substrates for Surface-Enhanced Raman Spectroscopy Applications: A Review

As surface-enhanced Raman spectroscopy (SERS) continues developing to be a powerful analytical tool for several probes, four important aspects to make it more accessible have to be addressed: low-cost, reproducibility, high sensibility, and recyclability. Titanium dioxide nanotubes (TiO2 NTs) prepared by anodization have attracted interest in this field because they can be used as safe solid supports to deposit metal nanoparticles to build SERS substrate nanoplatforms that meet these four desired aspects. TiO2 NTs can be easily prepared and, by varying different synthesis parameters, their dimensions and specific features of their morphology can be tuned allowing them to support metal nanoparticles of different sizes that can achieve a regular dispersion on their surface promoting high enhancement factors (EF) and reproducibility. Besides, the TiO2 photocatalytic properties enable the substrate’s self-cleaning property for recyclability. In this review, we discuss the different methodological strategies that have been tested to achieve a high performance of the SERS substrates based on TiO2 NTs as solid support for the three main noble metal nanoparticles mainly studied for this purpose: Ag, Au, and Pt.
Validation of a Short Food Frequency Questionnaire to Measure Dietary Intake of a Selection of Micronutrients in Oncology Patients Undergoing Systemic Therapy

Dietary intake, specifically consumption of anti-inflammatory micronutrients, can play a role in both cancer initiation as well as the treatment-related outcomes experienced by patients receiving systemic cancer therapy. Increasing research is being conducted to determine whether micronutrient supplementation can aid in altering the tumor microenvironment (TME), reducing inflammatory side effects and immune-related adverse events (irAEs). However, further research pertaining to the adequacy of dietary micronutrient intake is indicated in the oncology cohort. Currently, no tool measuring dietary intakes of various micronutrients exists in the oncology population. In this study, a 21-item food frequency questionnaire (FFQ) measuring intakes of 14 different micronutrients was validated using diet history as the reference method in 112 oncology patients. Bland Altman plot and Passing Bablok regression analysis were conducted to determine agreement between the two methods. The results showed adequate agreement between FFQ and diet history for 12 nutrients including copper, iron, vitamins A, E, and D, alpha linolenic acid (ALA), long-chain omega 3 fatty acids (LC n3-FA), arginine, glutamic acid, isoleucine, leucine, and valine. This 21-item FFQ, which takes an average of 10 min to complete, can be utilized as a quick screening tool to determine adequacy for 12 different micronutrients in place of a diet history.
HDL in COVID-19 Patients: Evidence from an Italian Cross-Sectional Study

A number of studies have highlighted important alterations of the lipid profile in COVID-19 patients. Besides the well-known atheroprotective function, HDL displays anti-inflammatory, anti-oxidative, and anti-infectious properties. The aim of this retrospective study was to assess the HDL anti-inflammatory and antioxidant features, by evaluation of HDL-associated Serum amyloid A (SAA) enrichment and HDL-paraoxonase 1 (PON-1) activity, in a cohort of COVID-19 patients hospitalized at the Cardiorespiratory COVID-19 Unit of Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico of Milan. COVID-19 patients reached very low levels of HDL-c (mean ± SD: 27.1 ± 9.7 mg/dL) with a marked rise in TG (mean ± SD: 165.9 ± 62.5 mg/dL). Compared to matched-controls, SAA levels were significantly raised in COVID-19 patients at admission. There were no significant differences in the SAA amount between 83 alive and 22 dead patients for all-cause in-hospital mortality. Similar findings were reached in the case of PON-1 activity, with no differences between alive and dead patients for all-cause in-hospital mortality. In conclusion, although not related to the prediction of in-hospital mortality, reduction in HDL-c and the enrichment of SAA in HDL are a mirror of SARS-CoV-2 positivity even at the very early stages of the infection.
Nanotechnology-Based Drug Delivery Strategies to Repair the Mitochondrial Function in Neuroinflammatory and Neurodegenerative Diseases

Mitochondria are vital organelles in eukaryotic cells that control diverse physiological processes related to energy production, calcium homeostasis, the generation of reactive oxygen species, and cell death. Several studies have demonstrated that structural and functional mitochondrial disturbances are involved in the development of different neuroinflammatory (NI) and neurodegenerative (ND) diseases (NI&NDDs) such as multiple sclerosis, Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, and amyotrophic lateral sclerosis. Remarkably, counteracting mitochondrial impairment by genetic or pharmacologic treatment ameliorates neurodegeneration and clinical disability in animal models of these diseases. Therefore, the development of nanosystems enabling the sustained and selective delivery of mitochondria-targeted drugs is a novel and effective strategy to tackle NI&NDDs. In this review, we outline the impact of mitochondrial dysfunction associated with unbalanced mitochondrial dynamics, altered mitophagy, oxidative stress, energy deficit, and proteinopathies in NI&NDDs. In addition, we review different strategies for selective mitochondria-specific ligand targeting and discuss novel nanomaterials, nanozymes, and drug-loaded nanosystems developed to repair mitochondrial function and their therapeutic benefits protecting against oxidative stress, restoring cell energy production, preventing cell death, inhibiting protein aggregates, and improving motor and cognitive disability in cellular and animal models of different NI&NDDs.