Miracle-dz/UniFAR-FTUs huggingface dataset:
Asymptotic properties of multivariate nonstationary processes with applications to autoregressions

Asymptotic properties of multivariate time series with characteristic roots on the unit circle are considered. For a vector autoregressive moving average process, we derive the limiting distributions of certain statistics which are useful in understanding nonstationary processes. These distributions are derived in a unified manner for all types of characteristic roots and are expressed in terms of stochastic integrals of Brownian motions. We use the limiting distributions to establish the consistency properties of the ordinary least squares estimates of various autoregressions of a vector process
Strong Law of Large Numbers for Countable Asymptotic Circular Markov Chains

In this article, we introduce the notion of a countable asymptotic circular Markov chain, and prove a strong law of large numbers: as a corollary, we generalize a well-known version of the strong law of large numbers for nonhomogeneous Markov chains, and prove the Shannon-McMillan-Breiman theorem in this context, extending the result for the finite case.
A Novel Markov Model-Based Traffic Density Estimation Technique for Intelligent Transportation System

An intelligent transportation system (ITS) aims to improve traffic efficiency by integrating innovative sensing, control, and communications technologies. The industrial Internet of things (IIoT) and Industrial Revolution 4.0 recently merged to design the industrial Internet of things–intelligent transportation system (IIoT-ITS). IIoT sensing technologies play a significant role in acquiring raw data. The application continuously performs the complex task of managing traffic flows effectively based on several parameters, including the number of vehicles in the system, their location, and time. Traffic density estimation (TDE) is another important derived parameter desirable to keep track of the dynamic state of traffic volume. The expanding number of vehicles based on wireless connectivity provides new potential to predict traffic density more accurately and in real time as previously used methodologies. We explore the topic of assessing traffic density by using only a few simple metrics, such as the number of surrounding vehicles and disseminating beacons to roadside units and vice versa. This research paper investigates TDE techniques and presents a novel Markov model-based TDE technique for ITS. Finally, an OMNET++-based approach with an implementation of a significant modification of a traffic model combined with mathematical modeling of the Markov model is presented. It is intended for the study of real-world traffic traces, the identification of model parameters, and the development of simulated traffic.
Cooperation in Networked Collective-Action Groups: Information Access and Norm Enforcement in Groups of Different Sizes

Norms, typically enforced via sanctions, are key to resolving collective-action problems. But it is often impossible to know what each individual member is contributing to group efforts and enforce cooperation accordingly. Especially as group size increases, people commonly have access to the behaviors of—and can sanction—only those to whom they are tied in a broader network. Here we integrate two streams of research: one conceptualizing ties in networked collective-action groups as access to information about what others are doing and a second where ties represent information plus opportunities to enforce cooperation via punishment. While both have pointed to the cooperation benefits of more ties in the network, we argue that these benefits will depend on group size and whether ties provide access to information about what others are doing or whether they also entail opportunities for norm enforcement. Our experiment demonstrates that densely tied information networks facilitate cooperation but only when the group size is small. When people can also enforce their ties’ cooperation, however, densely tied networks particularly benefit larger groups. The results demonstrate how network-level properties and individual-level tie patterns intersect to promote contributions in small and large collective-action groups.
Compact electromagnetic test range using an array of log-periodic antennas

The design of an array of seven log-periodic dipole antennas is described: this is intended to generate an approximate plane wave in the near field. The array is used as an illuminating antenna for a compact range primarily intended for electromagnetic susceptibility or emission measurements, but is also potentially usable for antenna measurements. It is capable of operation at lower frequencies than reflector antennas, and achieves good-quality plane waves in the near-field region. The design procedure was based on a numerical near-field synthesis technique that produced a set of complex excitations for the seven elements. The magnitude-only synthesis technique was found to give better results than alternative methods. The resulting computed field distributions showed that acceptable approximations to a plane wave could be generated over a substantial quiet zone, and an experimental test of an array constructed in accordance with the design algorithm showed good agreement with the predicted performance. >
Line length scalable high power diode laser with power densities > 100kw/cm2 for industrial Si-annealing applications

We present newly developed high power diode laser modules which are performing at outstanding power densities and line uniformity. The combination of recently designed laser diode bars on passive heat sinks and optimized micro-optics results to laser modules with power densities > 100kW/cm2 in a line length of 12mm x 0.1mm. The usage of non periodic structured homogenizers leads to a homogeneity of less than 3% p/v which allows precise heating and annealing applications. The application for such laser lines are hardening, metallization and annealing of different materials. In the presentation we will show results of thin film Si-a annealing process with direct diode laser annealing.
The person-centred care game: a reflective tool for learning person-centred care in higher education

Person-centred care (PCC) is being implemented within many health care systems and educational institutions are important enablers of learning PCC. Teachers in higher education are responsible for helping students develop the ability to reflect. One approach is with serious games, which allow students to reflect on realistic situations and shape their skills with virtual patients. This paper describes the development of a serious game, the person-centred care game – (PCC game), which was designed to promote learning of PCC by reflection. We demonstrated how this PCC game could be used to induce PCC knowledge and skills by student reflection in an academic course on PCC.
Lack of Association between Common LAG3/CD4 Variants and Risk of Migraine

Several papers have been published suggesting a probable role of inflammatory factors in the etiopathogenesis of migraine. In this study, we investigated the possible association between common variants in the LAG3/CD4 genes (both genes, which are closely related, encode proteins involved in inflammatory and autoimmune responses) in the risk of migraine in a cohort of Caucasian Spanish participants. For this purpose, the frequencies of CD4 rs1922452, CD4 rs951818, and LAG3 rs870849 genotypes and allelic variants, using a specific TaqMan-based qPCR assay, were assessed in 290 patients diagnosed with migraine and in 300 healthy controls. The relationship of these variables with several clinical features of migraine was also analyzed. The frequencies of the analyzed LAG3/CD4 genotypes did not differ significantly between the two study groups and were not related to the sex, age at onset of migraine, family history of migraine, presence or absence of aura, or the triggering effect of ethanol on migraine episodes. These results suggest a lack of association between common variants in the LAG3/CD4 genes and the risk of developing migraine in the Caucasian Spanish population.
PERAWATAN MESIN SUCKER MULLER DI PT. DLH

DLH Sukoharjo merupakan industri tekstil yang bergerak dalam bidang pertenunan. Observasi dilakukan pada mesin Sucker Muller yang sering mengalami kemacetan pada bagian cilynder drier, kipas angin, beam stand dan bearing dan pada saat beam berputar tidak dapat memaksimalkan hasil produksi. khususnya pada bagian Weaving I dibagian Sizing. Permasalahan yangsering terjadi adalah cara perawatan mesin penganjian yang dilakukan oleh pabrik kurang efisien sehingga menimbulkan keterlambatan jumlah produksi. Dalam penyelesaian masalah dilakukan dengan cara perawatan mesin sucker muller tersebut. Metode preventive maintenance yang digunakan untuk perawatan dan perbaikan serta pencegahan kerusakan. Berdasarkan analisis diperoleh bahwa hasil Mean Time To Failure (M'I'I'F) komponen mesin Sucker Muller sebesar 6.63 jam dan nilai Mean Time To Repair (MTTR) 573.531 sebesar jam.
Psychometric Analysis of an Instrument Evaluating Online Efl Teaching Presence

This research intended to examine the psychometric characteristics of the Indonesian version of the instrument used in evaluating the performance of pre-service teachers when practicing online teaching which was adapted from Howard. This quantitative study used convenience sampling technique by conducting a survey to collect respondent data. A total of 13 questionnaire items were developed using a 5-point Likert scale ranging from Strongly Disagree (1) to Strongly Agree (5). Data were collected from 88 students who were carrying out online teaching practices or who had finished carrying out these activities. Several statistical analyzes were performed using Rasch analysis to assess unidimensionality, reliability, item statistic, person and item measure, and wright maps. The findings of this study revealed that the items in Howard's Indonesian version of the questionnaire are less valid and less reliable with the Indonesian sample, and the items do not retain the psychometric characteristics of the original scale because it failed to meet the minimum criteria of 0.80 logits. Implications and recommendations were discussed and offered with reference to the findings.
Demonstrating Anticipatory Deflection and a Preemptive Measure to Manage It: An Extension of Affect Control Theory

When people visualize a potential for deflection in future interactions, will they lie to prevent it? Affect control theory emphasizes the salience of deflection management in everyday life, otherwise known as an attempted realignment of experiences and expectations in the face of situational incongruency. Traditionally, deflection management is measured post hoc in an individual who, often disconnected from and unassociated with the situation, reconfigures the experience. This does not, however, speak to deflection management during an active interaction or how an individual might change things in anticipation of deflection. Prior to, or during, an active interaction, individuals have a unique opportunity to preemptively alter the definition of the situation based on anticipated sentiments. In essence, they can foresee oncoming deflection and act to avoid it. Using a vignette experiment, I extend affect control theory by highlighting deflection that is anticipated but not yet experienced. I also show that participants have higher odds of lying in interactions where an honest retelling would incur high deflection. To further inform this cognitive process, I present qualitative explanations from participants on why they chose their responses and how the dynamics of their relationship mattered.
Kelvin-Helmholtz instability in dusty plasma medium: Fluid and particle approach

The Kelvin-Helmholtz (KH) instability is studied in a two dimensional strongly coupled dusty plasma medium using a fluid approach as well as through a molecular dynamic (MD) simulation. For the fluid description the generalized hydrodynamic (GH) model which treats the strongly coupled dusty plasma as a visco-elastic fluid is adopted. For the MD studies the ensemble of particles are assumed to interact through a Yukawa potential. Both the approaches predict a stabilization of the KH growth rate with an increase in the strong coupling parameter. The present study also delineates the temporal evolution and the interaction of transverse shear waves with the collective dynamics of the dusty plasma medium within the framework of both these approaches.
Image Prediction of Exact Science and Social Science Learning Content with Convolutional Neural Network

Learning content can be identified through text, images, and videos. This study aims to predict the learning content contained on YouTube. The images used are images contained in the learning content of the exact sciences, such as mathematics, and social science fields, such as culture. Prediction of images on learning content is done by creating a model on CNN. The collection of datasets carried out on learning content is found on YouTube. The first assessment was performed with an RMSProp optimizer with a learning rate of 0.001, which is used for all optimizers. Several other optimizers were used in this experiment, such as Adam, Nadam, SGD, Adamax, Adadelta, Adagrad, and Ftrl. The CNN model used in the dataset training process tested the image with multiple optimizers and obtained high accuracy results on RMSprop, Adam, and Adamax. There are still many shortcomings in the experiments we conducted in this study, such as not using the momentum component. The momentum component is carried out to improve the speed and quality of neural networks. We can develop a CNN model using the momentum component to obtain good training results and accuracy in later studies. All optimizers contained in Keras and TensorFlow can be used as a comparison. This study concluded that images of learning content on YouTube could be modeled and classified. Further research can add image variables and a momentum component in the testing of CNN models.
Discontinuous decision processes and threshold autoregressive time series modelling

where p is a 'smooth' function. Suppose that we approximate 4u(x) by 0, a constant, for all x. In subsequent discussion we suppress the argument x whenever this may be done without obscuring the context. Clearly this approximation will incur some errors. On the other hand, as argued by Tong & Lim (1980), we could approximate / arbitrarily closely by a step function. At first sight, it seems that 'this could pose a horrendous computational problem. Indeed, this is the case from a purely deterministic point of view. However, we usually approximate the 'true' model with some purpose in mind, e.g. forecasting, control, filtering. Thus, we should really specify what we mean by approximating ,u arbitrarily closely. Bayesian decision theory seems a natural approach to this problem. In particular, the recent general results of Smith et al. (1981) provide the necessary framework.
Subjective evaluations of multiple three-dimensional displays by a stereo-deficient viewer: an interesting case study

A study was conducted with sixteen observers evaluating four different three-dimensional (3D) displays for usability, quality, and physical comfort. One volumetric display and three different stereoscopic displays were tested. The observers completed several different types of questionnaires before, during and after each test session. All observers were tested for distance acuity, color vision, and stereoscopic acuity. One observer in particular appeared to have either degraded or absent binocular vision on the stereo acuity test. During the subjective portions of the data collection, this observer showed no obvious signs of depth perception problems and finished the study with no issues reported. Upon further post-hoc stereovision testing of this observer, we discovered that he essentially failed all tests requiring depth judgments of fine disparity and had at best only gross levels of stereoscopic vision (failed all administered stereoacuity threshold tests, testing up to about 800 arc sec of disparity). When questioned about this, the stereo-deficiency was unknown to the observer, who reported having seen several stereoscopic 3D movies (and enjoyed the 3D experiences). Interestingly, we had collected subjective reports about the quality of three-dimensional imagery across multiple stereoscopic displays from a person with deficient stereo-vision. We discuss the participant’s unique pattern of results and compare and contrast these results with the other stereo-normal participants. The implications for subjective measurements on stereoscopic three-dimensional displays and for subjective display measurement in general are considered.
Optimizing Airfoil Aerodynamic Characteristics by Using Proposed CSA-KJ Method

Combined with the cuckoo search algorithm (CSA) and the Kutta–Joukowski (KJ) theorem, a CSA-KJ optimization method was proposed to improve the airfoil aerodynamic characteristics in this work. The fourth-order constant-free polynomial function was employed to describe the airfoil profile. The KJ loop lift of the airfoil was taken as the objective function, and the CSA was applied to iteratively update this method, which was used to optimize the NACA4412 airfoil. The results demonstrate that the optimized effect of the CSA-KJ method on the lift-drag ratio becomes increasingly more significant with the increase of incoming wind speed, and it has the best performance at an angle of attack of 0°. Compared with the NACA4412 airfoil, the average and the maximum lift-drag ratio coefficients of the CSA-KJ4412 airfoil have increased. Meanwhile, the pressure difference distribution is improved, and the aerodynamic characteristic is better. From this, it can be seen that the CSA-KJ method can provide an effective way to optimize the aerodynamic performance of other airfoils.
Design and realization of survey strategy system

The 4 m large aperture, 5 degrees field of view and 4000 fibers make LAMOST an important optical spectrum astronomical telescope in the world. It will take a survey observation on about 10,000,000 stars in 20,000 square degrees field of view of north celestial sphere within several years. In order to fully utilize the advantages of a large number of goal optic fibers of LAMOST, carry out the survey observation with better efficiency, and economize valuable astronomical observation time, it is very essential and worthy to make a series of observation plans with utilization ratio of optic fiber as high as possible, which is exactly the scientific goal of Survey Strategy System (SSS) of LAMOST. Various kinds of static and dynamic restraint conditions affecting a survey observation are analyzed and modeled. On the basis of looking for tile with the largest density, the Mean-Shift algorithm is adopted, effectively improving the utilization ratio of optic fiber. With the progress of LAMOST project, new restraints and algorithms will be involved.
The Genesis of Severe, Long-Lived Bow Echoes

Abstract A series of idealized simulations using a nonhydrostatic cloud model is used to investigate the genesis of bow echoes (a bow-shaped system of convective cells that is especially noted for producing long swaths of damaging surface winds). It is hypothesized that severe, long-lived bow echoes represent a dynamically unique form of mesoconvective organization being produced for a restricted range of environmental conditions, including a convective available potential energy (CAPE) of at least 2000 m2 s2 and vertical wind shears of at least 20 m s−1 over the lowest 2.5–5 km AGL. The key structural features include a 40–100-km-long bow-shaped segment of convective cells, with a strong rear-inflow jet extending to the leading edge of the bow at 2–3 km AGL, and cyclonic and anticyclonic eddies (referred to as “bookend” vortices) on the northern and southern flanks of the bowed segment, respectively. This structure characteristically develops three to four hours into the lifetime of a convective system a.
Pre-slaughter management in Northeast Brazil and the effects on thermophysiological indicators in pigs and pH45

ABSTRACT Inadequate pre-slaughter handling practices may compromise animal welfare and pork quality. This study aimed to evaluate the effects of transport period (TT), unloading period (UT), and pre-slaughtering period (WT) on animal thermophysiological indicators and pork pH using a multivariate approach. This study was conducted in a slaughterhouse located in Aquiraz, Ceará state, Brazil. A total of 60 mestizo pigs with 107 ± 5 kg body weight were distributed into three experimental groups: group A (TT = 180 min, UT ≤ 10 min, and WT = 24 hours), group B (TT = 60 min, UT ≤ 15 min, and WT = 18 hours), and group C (TT = 45 min, UT ≤ 5 min, and WT = 24 hours). Canonical discriminant analysis was implemented and the differences between treatments are represented graphically. The first two components accounted for 97% treatments. The discriminant analysis showed that group C presented multivariate differences in relation to others, particularly with high rectal temperature before slaughter (38.4 ± 0.23 °C) and respiratory rate (131 ± 7.0 breaths min-1) and rectal temperature (39.7 ± 0.18 °C) upon arrival at the slaughterhouse. Transport period (TT), unloading period (UT), and thermal stress of the facilities influenced physiological variables, such as rectal temperature and respiratory rate. Furthermore, the physiological stress variables also favored cuts with basic pH, resulting in quality loss.
The amino acid and polycyclic aromatic hydrocarbon compositions of the promptly recovered
 CM2
 Winchcombe carbonaceous chondrite

– The rapid recovery of the Winchcombe meteorite offers a valuable opportunity to study the soluble organic matter (SOM) proﬁle in pristine carbonaceous astromaterials. Our interests in the biologically relevant molecules, amino acids — monomers of protein, and the most prevalent meteoritic organics — polycyclic aromatic hydrocarbons (PAHs) are addressed by analyzing the solvent extracts of a Winchcombe meteorite stone using gas chromatography mass spectrometry. The Winchcombe sample contains an amino acid abundance of ~ 1132 parts-per-billion that is about 10 times lower than other CM2 meteorites. The detection of terrestrially rare amino acids, including a -aminoisobutyric acid (AIB); isovaline; b -alanine; a -, b -, and c -amino-n-butyric acids; and 5-aminopentanoic acid, and the racemic enantiomeric ratios ( D / L = 1) observed for alanine and isovaline indicate that these amino acids are indigenous to the meteorite and not terrestrial contaminants. The presence of predominantly a -AIB and isovaline is consistent with their formation via the Strecker-cyanohydrin synthetic pathway. The L-enantiomeric excesses in isovaline previously observed for aqueously altered meteorites were viewed as an indicator of parent body aqueous processing; thus, the racemic ratio of isovaline observed for Winchcombe, alongside the overall high free:total amino acid ratio, and the low amino acid concentration suggest that the analyzed stone is derived from a lithology that has experienced brief episode(s) of aqueous alteration. Winchcombe also contains 2-to 6-ring alkylated and nonalkylated PAHs. The low total PAHs abundance (6177 ppb) and high nonalkylated:alkylated ratio are distinct from that observed for heavily aqueously altered CMs. The weak petrographic properties of Winchcombe, as well as the discrepancies observed for the Winchcombe SOM content — a low total amino acid abundance comparable to heavily altered CMs, and yet the high free:total amino acid and nonalkylated:alkylated PAH ratios are on par with the less altered CMs — suggest that Winchcombe could represent a class of weak, poorly lithiﬁed meteorite not been previously studied.