Miracle-dz/UniFAR-FTUs huggingface dataset:
Fluctuation-induced pattern formation in a surface reaction

Spontaneous nucleation, pulse formation and propagation failure have been observed experimentally in CO oxidation on Pt(110) at intermediate pressures ( ≈ 10 − 2 mbar). This phenomenon can be reproduced with a stochastic model that includes temperature effects. Nucleation occurs randomly due to fluctuations in the reaction processes, whereas the subsequent damping out essentially follows the deterministic path. Conditions for the occurence of stochastic effects in the pattern formation during CO oxidation on Pt are discussed.
Influencer marketing: a scoping review and a look ahead

ABSTRACT The interdisciplinary nature and rapidly expanding literature stream devoted to influencer marketing makes it difficult to stay abreast of the current research while simultaneously moving the field of knowledge forward. The goal of this article, then, is to take a look back, reviewing the disparate literature, in order to look ahead, guiding future research towards fruitful underexplored avenues of discovery. Using a framework-based scoping review, a retrospective examination of 150 articles is provided with emphasis on identifying publication trends, theories, contexts, constructs/concepts, and methodological approaches. These findings allow for a thorough discussion of gaps in extant knowledge, emerging themes and trends, and directions for future research. As such, this review provides a sound theoretical and practical basis for continued development within the field.
Analyzing a Randomized Cancer Prevention Trial with a Missing Binary Outcome, an Auxiliary Variable, and All-or-None Compliance

Abstract The Prostate Cancer Prevention Trial is a randomized chemoprevention trial designed to compare the effect of daily finasteride versus placebo on prostate cancer determined by biopsy. Investigators have scheduled a biopsy at the end of the trial in 7 years or following a positive prostate-specific antigen (PSA) on annual screening. The analysis will need to adjust for two likely complications. First, some subjects will not receive a biopsy, depending in part on whether or not they had a positive PSA. The indicator of positive PSA is called an auxiliary variable, which is a variable observed after randomization and prior to outcome. Second, starting soon after randomization, some subjects randomized to finasteride will stop taking their tablets, and some subjects randomized to placebo will obtain finasteride outside of the trial. This type of noncompliance is called all-or-none. To adjust for these complications, we formulate the appropriate likelihoods and obtain closed-form maximum likelihood estimates and variances. Without these adjustments, estimates may be biased, two-sided type I errors above nominal levels, and coverage of confidence intervals below nominal levels.
Broadband Optical Observations of BL Lacertae during the 1997 Outburst

We present BVRI observations of BL Lacertae during its recent outburst. These observations, made during a 3 month period, cover a significant portion of the optical flare. The reduced data are displayed as light curves and broadband spectra. Changes in the spectral index are analyzed, and the results are compared with previous BL Lac observations. We find that the variations are simultaneous in the optical bands, but the higher frequency bands show a higher amplitude of variability. The spectral index is variable during the active period, and there is marginal evidence that the spectrum flattens as the source gets brighter.
Mesoscale and Convective Structure of a Hurricane Rainband

Abstract The mesoscale thermodynamic, kinematic, and radar structure of a Hurricane Floyd rainband observed on 7 September 1981 is presented. Data are from 26 aircraft passes through the rainband from 150 to 6400 m. A composite technique which presents rainband structure as a function of distance from the storm circulation center reveals inflow from the outer edge of the band and a partial barrier to this flow below 3 km. In the direction parallel to rainband orientation, radar reveals cellular reflectivity structure on the upwind and central portions of the rainband; the frequency of cellular precipitation decreases in favor of stratiform precipitation further downwind as the band spirals gradually towards the eyewall. In the radial direction, a decrease of 12 K in θe, is observed across the rainband in the subcloud layer. Convective scale up- and downdrafts that are associated with cellular reflectivity structure are hypothesized to be responsible for the thermodynamic modification of the cloud and subc.
Several problems of exoplanetary orbits determination from radial velocity observations

Abstract Existing algorithms of analysis of radial velocity time series are improved for the purposes of extrasolar planets detection and characterizing. Three important effects are considered: the poorly known radial velocity jitter, periodic systematic errors, and statistical bias due to non-linearity of models. Mathematical tools to account for these effects are developed and applied to a number of real planetary systems. In particular, it is shown that two outer planets of HD37124 are likely trapped in the 2/1 resonance. The dwarf star GJ876 may host an extra, Neptune-mass, planet which is in resonance with two giant planets in this system.
Malware Detection Using Convolutional Neural Network, A Deep Learning Framework: Comparative Analysis

Malware detection is a quintessential task for every security for securing work stations, mobile devices, servers etc. This detection is mainly used for identifying malware that are causing malicious problems. The traditional detection system has a much lesser rate of detection rate and the chances of getting an error is higher as well. As the emerging technology revolutionized day by day, the usage of Deep Learning (DL) is highly influenced in these detection fields. So, this paper brings an effective DL based detection of malware in which the following are the stages: a) Data collection being carried from Malimg dataset, b) Pre-processing carried out to eliminate the unwanted noise from the dataset and passed to c) Feature extraction, where Principal Component Analysis (PCA) used for extracting required features, d) Feature selection where Particle Swarm Optimization (PSO) used for dimensionality reduction and finally passed for e) Classification where Convolutional Neural Network (CNN) used as a classifier for effective classification. These models are evaluated under measures like Accuracy, sensitivity, specificity, precision, recall, f1-score, TPR, FPR and detection rate over models like VGG16, VGG19, Densenet, Alexnent, Ensemble learning. The proposed system (D-WARE) gives much higher performance with a 96% accuracy.
Macrophage-Targeted Dextran Sulfate-Dexamethasone Conjugate Micelles for Effective Treatment of Rheumatoid Arthritis

Rheumatoid arthritis (RA) is a chronic, systemic immune disease that causes joint affection and even disability. Activated macrophages play an important role in the pathogenesis and progression of RA by producing pro-inflammatory factors. The use of dexamethasone (DXM) is effective in relieving the intractable pain and inflammatory progression of RA. However, long-term use of DXM is strongly associated with increased rates of diabetes, osteoporosis, bone fractures, and mortality, which hinders its clinical use. In this study, the dextran sulfate-cisaconitic anhydride-dexamethasone (DXM@DS-cad-DXM) micelles were prepared to treat RA by selectively recognizing scavenger receptor (SR) on the activated macrophages. The potent targeting property of DXM@DS-cad-DXM micelles to SR was by fluorescence microscope. Additionally, the effective accumulation and powerful anti-inflammatory activity of DXM@DS-cad-DXM micelles were observed in the inflamed joints of adjuvant-induced arthritis (AIA) rats after intravenous administration. Overall, DXM@DS-cad-DXM micelles are a potentially effective nanomedicine for targeted therapy of RA.
Hover Testing of Smart Rotor with Induced-Strain Actuation of Blade Twist

The experimental results are presented of hover test with a one-eighth dynamically scaled (Froude scale) helicopter rotor model with embedded piezoceramic elements as actuators to suppress vibrations. A 6-ft-dlam two-bladed bearingless rotor model was built with banks of piezoelectric torsional actuators capable of manipulating blade twist at harmonics of the rotational speed. The twist performances of several rotor blade configurations were investigated using accelerometers embedded in the blade tip. The change in oscillatory rotor lift due to plezoactuation was measured by a hub balance. Experimental results show that linear twist distributions of up to 0.6 deg, resulting in increases of up to 10% of the nominal rotor lift, are possible with existing piezoceramic technology. Although the twist amplitudes attained in this experiment were less than the target value (1-2 deg), it is expected that partial reduction of hub vibration can be achieved with the current smart rotors.
Entropy inequalities for unbounded spin systems

We consider nonconservative, reversible spin systems, with unbounded discrete spins. We show that for a class of these dynamics in a high temperature regime, the relative entropy with respect to the equilibrium distribution decays exponentially in time, although the logarithmic-Sobolev inequality fails. To this end we prove a weaker modification of the logarithmic-Sobolev inequality.
A Content-Adaptive Hierarchical Deep Learning Model for Detecting Arbitrary-Oriented Road Surface Elements Using MLS Point Clouds

Accurate and automatic detection of road surface element (such as road marking or manhole cover) information is the basis and key to many applications. To efficiently obtain the information of road surface element, we propose a content-adaptive hierarchical deep learning model to detect arbitrary-oriented road surface elements from mobile laser scanning (MLS) point clouds. In the model, we design a densely connected feature integration module (DCFM) to connect and reorganize feature maps of each stage in the backbone network. Besides, we propose a hierarchical prediction module (HPM) to innovatively use the reorganized feature maps to recognize different types of road surface elements, and thus, semantic information of road surface element can be adaptively expressed on multilevel feature maps. We also add a cascade structure (CS) in the head of model to detect the target efficiently, which can learn the offset between the predicted minimum bounding box of road surface element and ground truth. In experiments, we prove that the proposed method mainly contributed by HPM can maintain robust detection performance, even in the cases of unbalanced category number or overlapping of road surface elements. The experiments also prove that the proposed DCFM can improve the recognition effects of small targets. The CS for predicting boundary offset can detect each target more accurately. We also integrate the designed modules into some rotation detectors, e.g., the EAST and R3Det, and achieve the state-of-the-art results in three road scenes with different categories and uneven distribution of road surface elements, which further shows the effectiveness of the proposed method.
Single Phase High Frequency AC Link DC/AC Converter for Photovoltaic Systems

Abstract In this article, an isolated high-frequency AC link bidirectional AC/DC Push-Pull converter is proposed for photovoltaic systems. Conventional DC/AC converters, such as back-to-back converters, are multi-stages converter with a common DC link. These converters due to their huge DC link capacitor, despite the simplicity of control, have some drawbacks such as high size and volume, low reliability and short life span, and fault ride-through (FRT) problems. In this article, a DC/AC converter with high-frequency AC link and transformer is proposed for the integration of photovoltaic (PV) arrays to a single-phase AC grid or load. The presented converter, beside the reduced number of active switches and cost, due to the lack of intermediate bulky energy storage element, has none of the conventional converter disadvantages. Modulation and commutation techniques of the proposed converter are also presented. The performance of the proposed system is proved using simulation in the MATLAB/SIMULINK environment and using a laboratory setup.
Dietary Isoleucine and Valine: Effects on Lipid Metabolism and Ureagenesis in Pigs Fed with Protein Restricted Diets

A mixture of valine (Val) and isoleucine (Ile) not only decreases the negative impact of very low protein (VLP) diets on the growth of pigs, but also influences the nitrogen (N) balance and lipid metabolism; however, the underlying pathways are not well understood. This study aimed to investigate the effect of dietary Val and Ile on lipogenesis, lipolysis, and ureagenesis under protein restriction. After one week of acclimation, forty three-week-old pigs were randomly assigned to following dietary treatments (n = 8/group) for 5 weeks: positive control (PC): normal protein diet; negative control (NC): VLP diet; HV: NC supplemented with Val; HI: NC supplemented with Ile; and HVI: NC supplemented with both Val and Ile. HVI partially improved the body weight and completely recovered the feed intake (FI) of pigs fed with NC. HVI increased thermal radiation and improved the glucose clearance. HVI had a lower blood triglyceride than PC and blood urea N than NC. NC and HV promoted lipogenesis by increasing the transcript of fatty acid synthase (FAS) in the liver and lipoprotein lipase (LPL) in adipose tissue but reducing hormone-sensitive lipase (HSL) in the liver. HVI reduced the increased rate of lipogenesis induced by the NC group through normalizing the mRNA abundance of hepatic FAS, sterol regulatory element binding transcription factor 1, and HSL and LPL in adipose tissue. NC, HV, HI, and HVI reduced the ureagenesis by decreasing the protein abundance of carbamoyl phosphate synthetase I, ornithine transcarboxylase, and arginosuccinate lyase in the liver. Overall, HVI improved the growth, FI, and glucose clearance, and decreased the rate of lipogenesis induced by VLP diets.
Development of X-ray-induced afterglow characterization system

To evaluate the X-ray-induced afterglow phenomenon, we developed an ionizing-radiation-induced luminescence characterization system equipped with a pulse-width-tunable X-ray source. The system consists of a pulse X-ray tube and a detector system based on photon counting. The excitation pulse width was tunable from nano- to millisecond ranges, and the dynamic range of the X-ray-induced afterglow was 106. Conventional scintillators for X-ray CT or security systems, namely, Bi4Ge3O12, CdWO4, Tl-doped CsI, and Tb and Pr-codoped Gd2O2S, were evaluated for the performance test. Results show that the afterglow time profiles of these scintillators are consistent with generally known results with high accuracy.
The Structure and Dynamics of the Early-Type Resonance Ring Galaxy IC 4214. II. Models

The first paper in this series presented optical (UBVI) and near-infrared (H) surface photometry and Hα Fabry-Perot interferometry of IC 4214, an excellent example of a multiringed galaxy with a weak bar. In the present paper, we analyze the nonaxisymmetric gravitational potential of IC 4214, as defined by the near-infrared data. The gas behavior is modeled with two-dimensional sticky particle simulations that employ a rigidly rotating nonaxisymmetric potential. Our goals are to interpret the morphology and velocity field of IC 4214 and to obtain a model from which the bar pattern speed, halo contribution, and relative bulge and disk masses can be deduced. We also study the orbital families in the derived IC 4214 model. A fairly good match, in both morphology and kinematics, is obtained for Ωbar ≈ 40 ± 5 km s-1 kpc-1, placing the bar corotation slightly beyond the end of the bar (rbar/rcr ≈ 0.72 ± 0.05). The deduced bar amplitude implies that the visible mass of the disk dominates over the unseen halo (Mdisk/Mhalo > 3–4). Moreover, our model accounts quantitatively for the large difference in the orientation of IC 4214 as derived in our first paper with photometric and kinematic methods.
Microphotoluminescence of exciton and biexciton around 1.5μm from a single InAs∕InP(001) quantum dot

We report on the fabrication by low-pressure metalorganic vapor phase epitaxy of InAs∕InP(001) quantum dots (QDs) emitting around 1. 5μm, and on the observation of microphotoluminescence (μPL) from a single QD in this wavelength range. The QDs are diamond shaped, with a density of 6.3∙109cm−2. μPL experiments were carried out on a QD sample covered with a gold mask containing apertures (diameter of 200nm). Well defined peaks corresponding to the emission of single QDs were recorded between 1.24 and 1. 6μm. The analysis of the pump power dependence of their intensity allows us to discriminate between exciton and biexciton emission lines.
Employee Engagement and Organisational Commitment in Nigeria: Does it Matters for Local Government Service Commission?

In the human resource literature, employee engagement and organisational commitment are very vital elements that propel organizational commitment, hence the need to empirically investigate if employee engagement matters for the organizational commitment of the local government service commission in Nigeria. The study was built on the social exchange and job demand-resources theories. A cross-sectional survey design and a sample size of three hundred and ninety-six (396) employees of the local government service commission were employed. The study used four (4) dimensions of employee engagement such as organizational learning, communication, leadership and job empowerment. Data obtained were analysed using simple percentages, frequency counts and Pearson correlation. The Pearson correlation results indicated that all four (4) dimensions of employee engagement employed in the study had a strong positive and significant relationship with organizational commitment. Impliedly, we contended that employee engagement matters for the organizational commitment of the local government service commission in Nigeria. Among others, it was recommended that the local government service commission should promote an effective learning environment, communication culture, and leadership and empower employees’ in-order to improve staff commitment to the council.
Initiation and Evaluation of Drug Information Services at a Tertiary Care Teaching Hospital in South Telangana

Drug information service is the provision of written or verbal information about safe use of medications or drug therapy in response to a request from any health care professional. A prospective observational pilot study was initiated at a 1000 bed tertiary care teaching hospital to create an awareness, implementation and evaluation of the drug information services. Institutional ethics committee has approved the study and the hospital authorities permitted the service. The drug information service activity was started at clinical pharmacy department in the hospital and Pharm. D interns and the faculty was involved in the study. Drug information queries were collected during ward rounds and also through direct access. The ultimate question was analyzed after receiving the query, suitable references were reviewed and the final answer was synthesized and the approved answer was provided to the requester. Periodically the quality assurance of the information provided was assessed using quality assurance check list. A total of 154 queries were received during the study period. Most of the queries (69) belong to the category of drug of choice. Majority queries came from general medicine (45 %) and emergency medicine departments (16 %). Post graduate students (40 %) and medical interns (38 %) were the major requesters. Both verbal and written answers were provided to 136 queries. Majority queries received were during ward rounds and answers were provided within 8 h. The quality assurance score for the randomly selected queries was found 4.9 out of 5 indicate good quality service. The study findings suggest that drug information services were well utilized by the health care professionals. However, there is a need to create awareness among all health care professionals regarding usefulness of this service.
The Principle, Methods and Recent Progress in RFID Positioning Techniques: A Review

Radio Frequency Identification (RFID) has become a key enabler for the Industrial Internet of Things (IIoT). By taking advantage of the backscattered radio waves, the identity and position of RFID-labeled objects can be obtained simultaneously. Very many efforts have been devoted to the investigations of RFID positioning, but practical applications are rarely seen in industrial sectors. Motived by the potentiality of RFID positioning and the gap between research and practice, this investigation aims to provide an in-depth survey of the methods and the latest technical progress in RFID positioning to identify the underlying challenges. The main contributions include (1) A theoretical model of radio frequency backscatter coupling-based positioning and an in-depth analysis of the influencing parameters. (2) A new classification of RFID positioning techniques with a discussion of the latest progress. (3) A summary of the potential applications and the underlying challenges facing the state-of-the-art, including the simultaneous attitude and position acquisition and the flexible integration with practical applications. (4) The prospects of emerging technologies such as the integration of identification, sensing, and positioning, RFID positioning-powered robotics operations, and machine learning/deep learning algorithms are discussed. This investigation gives a comprehensive perspective on RFID positioning, which provides a reference for related research and practices.
Large-scale SPH simulation for three-dimensional flow

Computational load and numerical instability are two of the most challenging problems in enlarging the scale of smoothed particle hydrodynamics (SPH) simulation and applying SPH to a 3D problem. In this work, a study on advanced algorithm is conducted for large-scale SPH simulation in 3D. To reduce computational cost, the concept of a grid-based, linked-list algorithm was adopted and tested by being applied to solve a rotating cylinder problem. The result shows that the size of the search grid should be above or equal to the size of the support domain to obtain a stable and accurate solution. A zero order filtering algorithm is applied for reduction of noise signal in density and pressure for every 50 steps. Consequently, noise signal in density and pressure is apparently decreased and potential instability of computation has decreased. The improved SPH algorithm was applied to simulate 3D water discharge and the result shows that the algorithm satisfies Bernulli's theorem with acceptable degree of errors.