Miracle-dz/UniFAR-FTUs huggingface dataset:
Everything Dynamic Goes?

As in all research areas, theories in applied linguistics (AL) have their own life cycle. Ever since Kuhn’s (1962) groundbreaking The Structure of Scientific Revolutions, we know that theory development in science is not a gradual or linear process. According to Kuhn, science develops in three distinct stages. The start is ‘prescience’ in which there is no central paradigm, but rather a wild and incoherent set of ideas brought together. This is followed by ‘normal science’, when scientists attempt to enlarge the central paradigm by ‘puzzle-solving’. The third stage is ‘revolutionary science’ in which a new paradigm emerges that can deal with both old data that didn’t fit with the existing paradigm and with new data that can only be explained within the new paradigm. New theories have to prove their worth. Journals, editors and reviewers will be critically evaluating the publications based on a new framework, and while getting publications into leading journals continues to be problematic, gradually more and more leaders in the field are starting to endorse the new paradigm. At this point, a theory may reach a critical state where it may either show a breakthrough or start a gradual demise because in the end the theory did not meet the expectations, or the resistance is too strong. Does this also apply to Complex Dynamic Systems Theory (CDST)? With respect to the impact of CDST in developmental psychology. Van Geert (2011) sketches three scenarios:
Evaluating the Use of Peer Instruction in Civil Engineering Courses

Shannon Bartelt-Hunt is a Professor in the Department of Civil Engineering at the University of Nebraska. She received her Ph.D. in Environmental Engineering from the University of Virginia and her research focuses on the fate and transport of biologically-active organic contaminants in agricultural systems and water reuse in agriculture. She is a faculty fellow of the Daugherty Water for Food Global Institute at the University of Nebraska and maintains a courtesy appointment in the Department of Environmental, Occupational and Agricultural Health at the University of Nebraska Medical Center. She has published over 95 peer-reviewed journal papers and book chapters, was awarded an NSF CAREER award in 2012, and in 2015 was a member of a team receiving the Grand Prize for University Research from the American Academy of Environmental Engineers and Scientists. Dr. Bartelt-Hunt teaches an introductory course in environmental engineering as well as environmental engineering chemistry and solid waste management and has received university and national awards recognizing her teaching. She served as graduate chair in the Department of Civil Engineering from 2013-2016 and in 2014, was named a R. Vernon McBroom Engineering Leadership fellow in the College of Engineering.
Assisting Pottery Restoration Procedures with Digital Technologies

The fragmentary nature of pottery is considered a common place. Conservators are requested to apply a proper restoration solution by taking under consideration a wide range of morphological features and physicochemical properties that derive from the artefact itself. In this work, the authors discuss on a low-cost pottery-oriented restoration pipeline that is based on the exploitation of technologies such as 3D digitisation, data analysis, processing and printing. The pipeline uses low-cost commercial and open source software tools and on the authors' previously published 3D pose normalisation algorithm that was initially designed for 3D vessel shape matching. The authors objectively evaluate the pipeline by applying it on two ancient Greek vessels of the Hellenistic period. The authors describe in detail the involved procedures such as the photogrammetric 3D digitisation, the 3D data analysis and processing, the 3D printing procedures and the synthetic shreds post processing. They quantify the pipeline's applicability and efficiency in terms of cost, knowledge overhead and other aspects related to restoration tasks.
Reception of OAM Radio Waves Using Pseudo-Doppler Interpolation Techniques: A Frequency-Domain Approach

This paper presents a practical method of receiving waves having orbital angular momentum (OAM) in the far field of an antenna transmitting multiple OAM modes, each carrying a separate data stream at the same radio frequency (RF). The OAM modes are made to overlap by design of the transmitting antenna structure. They are simultaneously received at a known far-field distance using a minimum of two antennas separated by a short distance tangential to the OAM conical beams’ maxima and endowed with different pseudo-Doppler frequency shifts by a modulating arrangement that dynamically interpolates their phases between the two receiving antennas. Subsequently down-converted harmonics of the pseudo-Doppler shifted spectra are linearly combined by sets of weighting coefficients which effectively separate each OAM mode in the frequency domain, resulting in a higher signal-to-noise ratios (SNR) than possible using spatial-domain OAM reception techniques. Moreover, no more than two receiving antennas are necessary to separate any number of OAM modes in principle, unlike conventional MIMO (Multi-Input, Multi-Output) which requires at least K antennas to resolve K spatial modes.
FLAWLESS STATIONED SMART INTRAURBAN SENORA USING IOT

This paper presents Internet of Things (IoTs), which offers abilities to recognize and associate overall physical items into a bound together framework. As a piece of IoTs, genuine concerns are raised over access to individual data relating to gadget and individual security. This review abridges the security dangers and protection worries of IoT.
Transistor Degradations in Very Large-Scale-Integrated CMOS Technologies

The historical evolution of hot carrier degradation mechanisms and their physical models are reviewed and an energy-driven hot carrier aging model is verified that can reproduce 62-nm-gate-long hot carrier degradation of transistors through consistent aging-parameter extractions for circuit simulation. A long-term hot carrier-resistant circuit design can be realized via optimal driver strength controls. The central role of the VGS ratio is emphasized during practical case studies on CMOS inverter chains and a dynamic random access memory (DRAM) word-line circuit. Negative bias temperature instability (NBTI) mechanisms are also reviewed and implemented in a hydrogen reaction-diffusion (R-D) framework. The R-D simulation reproduces time-dependent NBTI degradations interpreted into interface trap generation, ΔNit with a proper power-law dependency on time. The experimental evidence of pre-existing hydrogen-induced Si–H bond breakage is also proven by the quantifying R-D simulation. From this analysis, a low-pressure end-of-line (EOL) anneal can reduce the saturation level of NBTI degradation, which is believed to be caused by the outward diffusion of hydrogen from the gate regions and therefore prevents further breakage of Si–H bonds in the silicon-oxide interfaces.
Electrical Resistance Tomography Image Reconstruction Based on Modified OMP Algorithm

Electrical resistance tomography (ERT) is a sensing technique for process monitoring and measurement, the image reconstruction algorithms are required fast and accurate. The OMP class algorithm has the property of reconstructing a higher quality signal by fewer iteration steps (shorter elapsed time) and faster convergence speed compared with other iterative algorithms. But the classical OMP is not self-adapted and may fall into a local optimal solution. In this paper, a modified orthogonal matching pursuit (MOMP) was presented by adding a continuous constraint to prevent local optimal solution and self-adaption process on classical OMP algorithm which finds the optimal number of iterations based on the information entropy of measurement to make it suitable for ERT inverse problem. The algorithm was experimentally validated versus other algorithms through a 16-electrode ERT system. Comparing with other algorithms, MOMP algorithm has a lower mean square error than non-iterative algorithms and a shorter time cost than iterative algorithms. Dynamic experiments showed that the MOMP algorithm is promising for industrial process monitoring.
MODEL ZPRACOVÁNÍ BEZPE Č NOSTNÍCH ZPRÁV ZE SYSTÉM Ů PRO FÁZI MONITOROVÁNÍ STAVU BEZPE Č NOSTI INFORMACÍ ORGANIZACE MODEL FOR SECURITY ALERT PROCESING IN MONITORING PHASE OF INFORMATION SECURITY MANAGEMENT SYSTEM

Monitoring phase is an important area in the operation of information security management system (ISMS) according to ISO 27001. Its aim is to obtain an overview of the situation in the area of information security in organization. This overview can be created based on events and security alerts from various systems. However, the complexity and diversity of these systems, a number of different reports about various security incidents make this task difficult. A complete overview of the security situation is not so easy to obtain. In this paper, we describe some problems in creating an overview of the security situation and propose a model to assess the current state of the security. The model includes the processing of security reports using methods based on data mining, transformation of data into a uniform format and a use of Dempster-Shafer theory to describe the state of information security in organization. The application demonstrates that the proposed model is effective and can be an important tool for monitoring phase in the operation of information security management system.
A typed, prioritized process algebra

This paper describe a typed, prioritized process algebra PPA based on the untyped algebra a pθ. We give this an operational semantics, and provide a complete axiomatization for prioritized bisimulation of closed finite terms. Guarded recursion is added to ppa to give μppa, and we show that every guarded recursion has a unique fixed point. We provide a translation for CLEAVELAND and HENNESSY’s prioritized CCS, a subset of BAETEN, BERGSTRA and KLOP’sa pθ, and a subset of HANSSON and ORAVA’s PC into PPA. The only operators which we cannot translate into PPA are those which do not respect prioritized bisimulation.
The Choice Between EBooks and Printed Books: A Study Among The Choice Between EBooks and Printed Books: A Study Among Hospitality and Tourism Educators and Learners Hospitality and Tourism Educators and Learners

Emergence of electronic books (ebook) changed the position of printed books in the learning space. This study examines the perceptions and preferences of hospitality and tourism educators and learners. Similarities and dissimilarities in the preference, perception and its link with gender, and scope of the degree course what the respondents teach and learn are analyzed. Data was collected from both students and teachers of hospitality, tourism and culinary degree program at a private university located in Karnataka, India. A structure questionnaire was used to collect the data from the respondents. The result of the study shows that printed books are preferred mostly for their easy usage and reading. Both student and teachers of hospitality and tourism feel pleasure in reading printed books. However both hospitality and tourism educators have more intention to use the e-books in the future. The findings obtained will help the educational service providers, publishers and librarians in their decisions related to investment and management of library resource very effectively which facilitate teaching and learning process.
Design of Cloud Storage-Oriented Sports Physical Fitness Monitoring System

In order to improve the accuracy and response speed of sports fitness monitoring results and make the monitoring results more comprehensive, a new cloud storage-oriented sports fitness monitoring system is designed. Based on cloud storage technology, the overall framework of the sports fitness monitoring system is established; the function of the hardware module of the monitoring system is analyzed, and distributed database is established. The ray-casting image feature scanning method was used to collect the physical condition monitoring image and generate a high-quality human body target frame to realize the physical condition monitoring. Based on the monitoring data, the fitness method recommendation method is designed according to the user's physical condition. The experimental results show that the monitoring results of the proposed system have higher accuracy, faster system response speed, and higher comprehensiveness of the monitoring results, which verifies the application value of the proposed system.
The Suitability of Guide Star Catalog 2 (GSC-2) as a Source for JWST Guide Stars

Guide Star Catalog 2 (GSC-2) is the deepest and most complete all-sky source of guide stars for space astronomy missions. However, this catalog is based on ground-based photographic plate material. The Fine Guidance Sensors (FGS) on the James Webb Space Telescope will be nearinfrared imaging cameras. The majority of stars visible in these cameras will be very red late-type stars populating the faintest end of GSC-2. We study these likely guide stars in detail by comparing a 2-square-degree region of the sky as catalogued by GSC-2, the Sloan Digital Sky Survey (SDSS), and the Two-Micron All-Sky Survey (2MASS) Point Source Catalog. We find that GSC-2 catalog entries can only be reliably converted to infrared magnitudes to a limit of JAB~17.4, and that the contamination rate at these magnitudes by unsuitable objects (galaxies, double stars, non-existent objects) is <10%. For a nominal FGS field of view of 8.4 square arc minutes, GSC-2 provides enough catalogued guide stars at JAB=19-20 at galactic latitudes |b| > 30° to meet the JWST Level 2 requirement of a 95% probability of a successful guide star acquisition anywhere in the sky provided a minimum of 3 possible guide star candidates are provided for on-board guide-star acquisition for each pointing.
Characterization of normality of chaotic systems including prediction and detection of anomalies

Accurate prediction and control pervades domains such as engineering, physics, chemistry, and biology. Often, it is discovered that the systems under consideration cannot be well represented by linear, periodic nor random data. It has been shown that these systems exhibit deterministic chaos behavior. Deterministic chaos describes systems which are governed by deterministic rules but whose data appear to be random or quasi-periodic distributions. Deterministically chaotic systems characteristically exhibit sensitive dependence upon initial conditions manifested through rapid divergence of states initially close to one another. Due to this characterization, it has been deemed impossible to accurately predict future states of these systems for longer time scales. Fortunately, the deterministic nature of these systems allows for accurate short term predictions, given the dynamics of the system are well understood. This fact has been exploited in the research community and has resulted in various algorithms for short term predictions. Detection of normality in deterministically chaotic systems is critical in understanding the system sufficiently to able to predict future states. Due to the sensitivity to initial conditions, the detection of normal operational states for a deterministically chaotic system can be challenging. The addition of small perturbations to the system, which may result in bifurcation of the normal states, further complicates the problem. The detection of anomalies and prediction of future states of the chaotic system allows for greater understanding of these systems. The goal of this research is to produce methodologies for determining states of normality for deterministically chaotic systems, detection of anomalous behavior, and the
Investigation of unbalanced magnetic force in permanent magnet brushless dc machines with diametrically asymmetric winding

AbstractThe purpose of this paper is calculation of Unbalanced Magnetic Force (UMF) in permanent magnet brushless DC (PMBLDC) machines with diametrically asymmetric winding and investigation of UMF variations in the presence of phase advance angle. This paper presents an analytical model of UMF in surface mounted PMBLDC machines that have a fractional ratio of slot number to pole number. This model is according to a 2-D analytical field model. By an appropriate choice for slot number to pole number ratio, the magnitude of UMF is zero and this is achieved only when the stator slot and coils distribution is symmetrical about diameter of machine. The presented model is validated by 2-D finite element analysis and a good agreement is obtained between them. Also, UMF is calculated in the presence of different phase advance angles. UMF was calculated for 33-slot/34-pole and 36-slot/34pole external rotor machines with analytical and finite element method. Machine with 33-slot/34-pole has significantly larger UMF than 36-slot/34-pole machine. Also UMF is calculated for 33-slot/34-pole machine in the presence of phase advanced angles and results show that the magnitude of UMF changes with the amount of phase advance angle periodically. The impact of phase advance angle method on the magnitude of UMF is investigated for the first time by finite element method. Due to increasing or decreasing of the magnitude of UMF in the presence of different phase advance angles, the magnitude of UMF is an important feature in the selection of appropriate phase advance angle.
Analysis of the role of hole transport layer materials to the performance of perovskite solar cell

Research in solar cells is needed to maximize Indonesia’s vast solar potential that can reach up to 207.898 MW with an average radiation of 4.8 kWh/m 2 /day. Organometallic perovskite solar cells (PSCs) have gained immense attention due to their rapid increase in efficiency and compatibility with low-cost fabrication methods. Understanding the role of hole transport layer is very important to obtain highly efficient PSCs. In this work, we studied the effect of Hole Transport Layer (HTL) to the performance of perovskite solar cell. The devices with HTL exhibit substantial increase in power conversion efficiency, open circuit voltage and short circuit current compared to the device without HTL. The best performing device is PSC with CuSCN as HTL layer, namely V oc of 0.24, I sc of 1.79 mA, 0.27 FF and efficiency of 0.09%.
A new class of symmetric functions.

I will begin by reviewing briefly some aspects of the theory of symmetric functions. This will serve to fix notation and to provide some motivation for the subject of these lectures. Let x1, . , xn be independent indeterminates. The symmetric group Sn acts on the polynomial ring Z[x1, . , xn] by permuting the x’s, and we shall write Λn = Z[x1, . , xn] for the subring of symmetric polynomials in x1, . , xn. If f ∈ Λn, we may write f = ∑
The effects of dragon fruit (Hylocereus polyrhizus) extract on indomethacin-induced stomach ulcer in rats.

The aim of this study was to investigate the effects of red dragon fruit (Hylocereus polyrhizus) extract (DFE) on the stomach in ulcer model induced by indomethacin in rats. Effects of DFE were evaluated in indomethacin-induced gastric damage model on Sprague-Dawley rats. Experimental model: all rats were fasted for 24 h. At the end of this period, DFE was administered to the ulcer-induced groups. One hour after this application, a dose of 25 mg/kg of indomethacin was applied by oral gavage to all groups except the HEALTHY and DFE1000 groups. Six hours after indomethacin administration, the rats were euthanized with high-dose anesthesia and the experiment was terminated. Macroscopic and microscopic analyses for investigating ulcerative area, molecular and biochemical analyses for oxidative damages investigation and molecular analyses for the effect mechanism of indomethacin and DFE were conducted on stomach tissues in the study. While oxidative stress-associated markers such as MDA, BAX, and Caspase 3 increased dramatically in the indomethacin group, GSH antioxidant levels decreased. It was observed that these parameters were significantly improved in DFE 500 mg/kg and DFE 1000 mg/kg groups compared to ulcer group, and the results of especially DFE 1000 mg/kg group were similar to famotidine group. We observed that our histopathological findings also supported all our other findings. Dragon fruit extract was protected against indomethacin-induced ulcer damage by decreased MDA levels, increased GSH levels, and inhibition of Caspase 3, BAX, and Cox-2, and activation of Cox-1. PRACTICAL APPLICATIONS: People of all ages around the world suffer from gastric ulcer which is one of the most common gastrointestinal ailments. The etiological factors of the disease are using of cigarette and alcohol, nutritional deficiencies, infections, and using non-steroidal anti-inflammatory drugs which use frequent and indiscriminate. Indomethacin is one of the NSAIDs and is commonly preferred to induce ulcer modeling in rats due to its gastric toxicity potential. Current anti-ulcer drugs have many serious side effects. Patients who suffered from gastric ulcer tend to discontinue the drug because of side effects. Therefore, patients need new agents that are non-toxic, have few side effects, and are easily accessible anti-ulcer drugs. Dragon fruit, as a medicinal herb, is highly valuable and widely used in traditional medicine, and may provide gastroprotective activity. Studies have shown that H. polyrhizus has antioxidant activities. We consider the effects of dragon fruit extract (DFE) to be a therapeutic drug for an indomethacin-induced ulcer model.
Adipocyte Size Evaluation Based on Photoacoustic Spectral Analysis Combined with Deep Learning Method

Adipocyte size, i.e., the cell area of adipose tissue, is correlated directly with metabolic disease risk in obese humans. This study proposes an approach of processing the photoacoustic (PA) signal power spectrum using a deep learning method to evaluate adipocyte size in human adipose tissue. This approach has the potential to provide noninvasive assessment of adipose tissue dysfunction, replacing traditional invasive methods of evaluating adipose tissue via biopsy and histopathology. A deep neural network with fully connected layers was used to fit the relationship between PA spectrum and average adipocyte size. Experiments on human adipose tissue specimens were performed, and the optimal parameters of the deep learning method were applied to establish the relationship between the PA spectrum and average adipocyte size. By studying different spectral bands in the entire spectral range using the deep network, a spectral band mostly sensitive to the adipocyte size was identified. A method of combining all frequency components of PA spectrum was tested to achieve a more accurate evaluation.