Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the Effectiveness of the Performance Management System in the Ministry of Higher Education

The main objective of performance assessment is to manage to provide the necessary information about the personnel employed in the organization to be available to managers in order to make appropriate decisions to promote the quality and quantity of employee work. The main objective of this article is to evaluate the effectiveness of the staff performance management system in the Ministry of Higher Education. This is descriptive research in terms of data collection method and in terms of purpose tactical research and in terms of qualitative and quantitative analysis. The statistical population of this study is all employees of the Ministry (720) the indicated assembly (72) was determined with a confidence level of 90 percent and a sampling error of 10 percent using Crecy and Morgan formulas. The most important findings of the research showed that Performance management in the Ministry of Higher Education has created a conducive environment for better performance among employees up to a limit, but this system has not produced the effective results that it was supposed to produce in improving employee performance, but there has been a series of problems and inadequacies, and evaluation performance management does not form the basis of the reward system in this organization, and the performance management of the work in this ministry is not so tangible that all employees have same the reception and have a theme opinion about it.
Extended State Observer Based Integral Sliding Mode Control for Maglev System With Fixed Time Convergence

The purpose of this study is to explore the design of a robust control strategy for regulating the magnetic levitation system, which is affected by model uncertainty and surrounding disturbance. This paper integrates a fixed-time extended state observer (ESO) with a fixed-time integral sliding mode control (ISMC) design. The fixed-time ESO is employed to estimate the total disturbance within the system in a fixed time. The estimated output is then fed to the composite control law to cancel the actual disturbance in the system. Consequently, it avoids large gain for switching function in the ISMC law, thus suppressing the chattering from the control input. It also avoids employing a conservative condition on the advance information of disturbance bound. In addition, the proposed ISMC design ensures fixed time convergence of closed-loop signals. Moreover, since the integral sliding surface has no reaching phase; therefore the proposed composite scheme has a better invariance behavior from the initial time. The Lyapunov stability theory proves the fixed time stability of sliding variable and relative states. Furthermore, the effectiveness of the presented methodology is validated using numerical analysis with a comparative performance of state-of-the-art control schemes. The numerical results of these schemes are judged based on convergence time, residual bound, energy consumption, and total input variation.
Corporeal Incorporation and Extension in Dene Sųłiné (Athapaskan) Lexicalization

Athapaskan languages support a strikingly small set of morphological stems that, histor ically, have been repeatedly recycled and recombined to achieve the necessary range of lexical expression. There are few mono-morphemic noun stems (most nouns being dever bal) and body-part terms are indeed amongst the simplest nouns morphologically— especially for the major part terms (‘head’, ‘hand’, ‘heart’, etc.). This paper surveys expressions in Dene Sųline (Chipewyan) that feature an incorporated body-part term or a body-part term being used figuratively in a referential sense. In the former case, I discuss the nature of the event types (e.g. posture, consumption, perception, ideation, emotion) and verb stems that tend to support the incorporated body-part term, the range of incorporable terms themselves, as well as the overall figurativity of the result ing constructions. In the case of extended body-part terms, I list the items that tend most often to participate in figurative body-based nominals, compounds, and nominalizations. While the productivity of body-part incorporation and figurative extension was likely never robust in the language (nor across the family), and the phenomenon is certainly associated with largely idiomatic constructions by contemporary speakers, one can see clear patterns in the composite structures featuring body-part morphemes highly reminiscent of what other, better studied, languages do. Moreover, a better under
Large eddy simulation of turbulent flows with property variations, rotation and complex geometry

A comprossiblo finite voluinc fortuulalioii for largo eddy simulation IWLS been exleiuled to solve a variety of (lows by using dynamic subgrid-scale stress model and dynamic Prandtl number model. The basic features of this finite volume fornmlatioii include a dual time stepping approach with time derivative preconditioning, an implicit low-upper symtiietric Gauss-Seidel scheme, multiblock framework, and parallelization using message pa-ssing interface. riie impleiiUMitation of the dynamic motlel w;us validated by simulating a jjlane channel flow with constant heal flux. Good agreement between the present results and benchmark results in the literature wa.s achieved. Rotating channel flows with heat transfer were sequentially studietl by adding a rotation source term. The effects of .sjstem rotation on the turbulent heat transfer was investigated. Finally, a ril>-roughened channel flow wjus simulatetl without heat tran.sfer and with a heat flux on both walls. The influence of the rib on the How w:us studied. The large eddy formulation with a dynamic model generally provided excellent agreement with direct numerical simulation results and experimental results for turbulent flows with heat transfer (e.g. a plane channel flow, a rotating plane channel flow and a riI)-roughened channel flow). For the constant heat flux channel flows, high heating tends to rcnluce the velocity fluctuations, while high cooling tends to enhance the fluctuations. The mean and fluctuation velocity profiles collapse toward the incompressible results when normalizetl by local properties, as opposed to wall values. The spanwise system rotation was found to suppress turbulent velocity fluctuations and shear stress near the stable side of the channel, but enhance those fluctuations and shear stress near the unstable side. Mso. turbulent temperature fluctuations and turbulent heat flux were decreased near the stable side of the channel, but increased near the unstable side of the channel. The existence of the rib creates a small recirculation
Design of Efficient Binary Comparators using Quantum-Dot Cellular Automata

: In the era of technology development the reversible computation have reached the new level for better and efficient fabrication. The integration processes also become more changing job than the last decade. The new approach of QCA getting popular in the circuit designing. Due to this there is dramatically reduction in energy losses. The unique mapping of inputs and output helps to consumes less power. As well as the better performance is observed compare to the existing counterparts. In the presented algorithm the construction of reversible n-bit signed comparator circuit becomes more optimized. All the parameter of the comparator is improved. The proposed algorithm has achieved the enhanced result with more efficient with considering less area.
Gossip, diversity and community cohesion: the case of multi-ethnic Riace

ABSTRACT Gossip is often considered to have negative and exclusionary social consequences within migrant communities and multi-ethnic settings. In contrast, the current research examines whether gossip can contribute to including and integrating people with different ethnic and migration backgrounds into a local community. The empirical study is based on 11 Months of fieldwork research in Riace, a small town in Southern Italy that has hosted refugees and migrants for over 20 years. We focused on the local functions of gossip as it occurs in everyday life and is embedded in the local social context. Findings demonstrate that much of the local gossip is inter-ethnic and facilitates strong community relationships by sustaining local norms and promoting trust relationships and shared narratives. It is concluded that local gossip does not only have to be divisive but also can have inclusive and integrative implications for multi-ethnic local settings.
An Improved Arabic Sentiment Analysis Approach using Optimized Multinomial Naïve Bayes Classifier

Arabic sentiment analysis has emerged during the last decade as a computational process on Arabic texts for extracting people's attitudes toward targeted objects or their feelings and emotions regarding targeted events. Sentiment analysis (SA) using machine learning (ML) methods has become an important research task for developing various text-based applications. Among different ML classifiers, multinomial Naïve Bayes (MNNB) classifier is widely used for documents classification due to its ability for performing statistical analysis of text contents. It significantly simplifies textual-data classification and offers an alternative to heavy ML-based semantic analysis methods. However, the MNNB classifier has a number of hyper-parameters affects the classification task of texts and controls the decision boundary of the model itself. In this paper, an optimized MNNB classifier-based approach is proposed for improving Arabic sentiment analysis. A number of experiments are conducted on large sets of Arabic tweets to evaluate the proposed approach. The optimized MNNB classifier is trained on three datasets and tested on a different separated test set to show the performance of developed approach. The experimental results on the test set revealed that the optimized MNNB classifier of proposed approach outperforms the traditional MNNB classifier and other baseline classifiers. The accuracy rate of the optimization approach is increased by 1.6% compared with using the default values of the classifier’s hyperparameters. Keywords—Machine learning; Arabic sentiment analysis; optimized multinomial Naïve Bayes (MNNB) classifier; hyperparameters optimization
Voltage Control Ratiometric Readout Technique With Improved Dynamic Range and Power-Efficiency for Open-Loop MEMS Capacitive Accelerometer

MEMS capacitive accelerometer for the Internet of Things (IoT) applications is designed with open-loop structure rather than closed-loop structure to achieve low power consumption. In the open-loop structure, voltage control readout technique is preferred for low cost. However, the voltage control readout technique suffers from low dynamic range and low power efficiency (in terms of <inline-formula> <tex-math notation="LaTeX">$\mathbf {FoM}$ </tex-math></inline-formula>). In this paper, the voltage control ratiometric (VCR) readout technique is proposed to improve both dynamic range and power efficiency. The VCR readout technique is demonstrated in a readout circuit fabricated in a commercial 0.18 <inline-formula> <tex-math notation="LaTeX">$\mu {\mathrm{ m}}$ </tex-math></inline-formula>1.8V/5.0V CMOS process. Compared to the traditional voltage readout circuit fabricated with the same CMOS process and tested with the same sensing element, the VCR readout circuit improves full input signal range by <inline-formula> <tex-math notation="LaTeX">$\mathbf {3.5dB}$ </tex-math></inline-formula> (from <inline-formula> <tex-math notation="LaTeX">$\boldsymbol {\pm 8g}$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$\boldsymbol {\pm 12g}$ </tex-math></inline-formula>) and the noise floor by <inline-formula> <tex-math notation="LaTeX">$\mathbf {9.5dB}$ </tex-math></inline-formula> (from <inline-formula> <tex-math notation="LaTeX">$\mathrm {\mathbf {804~\mu g/}}\sqrt {\mathbf {Hz}} $ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$\mathbf {270~\mu g/}\sqrt {\mathbf {Hz}} $ </tex-math></inline-formula>). As a result, the dynamic range is improved by <inline-formula> <tex-math notation="LaTeX">$\mathbf {13.0dB}$ </tex-math></inline-formula> (from <inline-formula> <tex-math notation="LaTeX">$\mathbf {44.0dB}$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$\mathbf {57.0dB}$ </tex-math></inline-formula>), the <inline-formula> <tex-math notation="LaTeX">$\mathbf {Fo}\mathbf {M}_{\mathbf {1}}$ </tex-math></inline-formula> is improved from <inline-formula> <tex-math notation="LaTeX">$\mathbf {310pJ}$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$\mathrm {\mathbf {83pJ }}$ </tex-math></inline-formula> and the <inline-formula> <tex-math notation="LaTeX">$\mathbf {Fo}\mathbf {M}_{\mathbf {2}}$ </tex-math></inline-formula> is improved from <inline-formula> <tex-math notation="LaTeX">$\mathbf {1977~\mu W\cdot \mu g/Hz}$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$\mathbf {796~\mu W\cdot \mu g/Hz}$ </tex-math></inline-formula>.
Analysis of Antibiotic Use in COVID-19 Patients at a Hospital in Sidoarjo

Background: Antibiotics are given to COVID-19 patients to treat bacterial co-infections, but excessive and inappropriate antibiotic use can increase antibiotic resistance. Objective: The study aims to analyze the antibiotic use and bacterial susceptibility in COVID-19 patients at a hospital in Sidoarjo - East Java. Method: The research design used was a prospective cross-sectional study using data collection of sputum culture, bacterial susceptibility, medical records, and Pharmacy antibiotics usage from August to October 2021. The Research sample is moderate-to-severe COVID-19 patients. Result: The results showed that in August-October 2021, 32 patients met the study sample category, where the most were men (56.25%), age range 46-55 years (31.25%), and outcome recovered as much as 81.25%. The culture results showed that only 1 (one) person out of 32 samples had bacterial growth. The only bacteria that grew in the sputum culture was Enterobacter aerogenes, susceptible to meropenem but resistant to levofloxacin. The highest quantity of antibiotics in this study was levofloxacin 71,16; meropenem 32.25; moxifloxacin 21.84 DDD/ 100 bed days. Conclusions: Most of the cases of COVID-19 occurred in men; the age range was 46-55 years, and the outcome recovered was more than those who died. Bacterial co-infection occurred in 3.12% of patients who received meropenem and levofloxacin during their hospitalization. The largest quantity of antibiotics used was levofloxacin, meropenem, and moxifloxacin. The combination of meropenem and levofloxacin should be re-evaluated because levofloxacin is resistant but still susceptible to meropenem.
Automated EWMA Anomaly Detection Pipeline

There is a need to perform offline anomaly detection in count data streams to simultaneously identify both systemic changes and outliers, simultaneously. We propose a new algorithmic method, called the Anomaly Detection Pipeline, which leverages common statistical process control procedures in a novel way to accomplish this. The method we propose does not require user-defined control or phase I training data, automatically identifying regions of stability for improved parameter estimation to support change point detection. The method does not require data to be normally distributed, and it detects outliers relative to the regimes in which they occur. Our proposed method performs comparably to state-of-the-art change point detection methods, provides additional capabilities, and is extendable to a larger set of possible data streams than known methods.
Decoding of LDPC Codes Over Channels with Binary Additive Markov Noise

Error-correcting coding schemes using low-density parity-check (LDPC) codes and belief propagation decoders based on the sum-product algorithm (SPA) have recently achieved some of the highest performance results in the literature. In particular, the performance of irregular LDPC codes over memoryless channel models is unrivaled. This thesis explores LDPC decoding schemes which are capable of exploiting the memory of channels based on Markov models to achieve performance gains over systems which use interleaving and assume the channel is memoryless. To this end, we present a joint channel-state estimation decoder for binary additive M -order Markov noise channels (BAMNCs) using the SPA. We then apply this decoder to the queue-based channel (QBC), which is a simple BAMNC with only four channel parameters. The QBC enjoys closed form equations for the channel capacity and the block transition distribution. The QBC is a versatile model which has been shown to be able to effectively model other channels with memory including the Gilbert-Elliot channel (GEC) and Rayleigh and Rician fading channels. In particular, it is a good model for slow fading phenomena, which is difficult to model using channel models like the GEC. We obtain simulation results that compare SPA decoding of LDPC codes over the QBC to SPA decoding over the memoryless binary symmetric channel (BSC) relative to their respective Shannon limits. These results demonstrate that the performance of the QBC decoding scheme scales well with the QBC’s higher Shannon limit and that the decoder effecively exploits the channel memory. We also use the QBC and BAMNC to model the GEC by attempting to match its M -order channel noise statistics. Simulations are run using the QBC and the more general BAMNC to model the GEC for decoding data transmitted over the simulated GEC. The results show us the effectivenes of this technique. Finally, we examine the performance of irregular LDPC codes over the QBC model. Using irregular codes designed for the GEC and the additive white Gaussian noise (AWGN) chan-
Time dependent simulations of 2D coronal loop models

We use the time dependent code PET in order to perform time evolution simulations of damped oscillations in linetied solar coronal loops. This new numerical code has open boundary conditions implemented and is suitable to perform simulations of transversally driven plasma cylinders. In this paper, we show that a resonance is set up when driving harmonically with a frequency close to the quasimode frequency. In this resonance, all the incoming energy is dissipated. When the driver is shut down, the oscillation in and in the neighbourhood of the resonant layer decays exponentially. Using this code, we hope to show that wave heating is still a viable mechanism to heat coronal loops and to explain the observed damped loop oscillations. We will show this by proving that more energy can be dissipated per oscillation period than is observed.
Explainable Artificial Intelligence in CyberSecurity: A Survey

Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being’s daily life. Despite the AI benefits, its application suffers from the opacity of complex internal mechanisms and doesn’t satisfy by design the principles of Explainable Artificial Intelligence (XAI). The lack of transparency further exacerbates the problem in the field of CyberSecurity because entrusting crucial decisions to a system that cannot explain itself presents obvious dangers. There are several methods in the literature capable of providing explainability of AI results. Anyway, the application of XAI in CyberSecurity can be a double-edged sword. It substantially improves the CyberSecurity practices but simultaneously leaves the system vulnerable to adversary attacks. Therefore, there is a need to analyze the state-of-the-art of XAI methods in CyberSecurity to provide a clear vision for future research. This study presents an in-depth examination of the application of XAI in CyberSecurity. It considers more than 300 papers to comprehensively analyze the main CyberSecurity application fields, like Intrusion Detection Systems, Malware detection, Phishing and Spam detection, BotNets detection, Fraud detection, Zero-Day vulnerabilities, Digital Forensics and Crypto-Jacking. Specifically, this study focuses on the explainability methods adopted or proposed in these fields, pointing out promising works and new challenges.
On connectivity and robustness of random graphs with inhomogeneity

Abstract The study of threshold functions has a long history in random graph theory. It is known that the thresholds for minimum degree k, k-connectivity, as well as k-robustness coincide for a binomial random graph. In this paper we consider an inhomogeneous random graph model, which is obtained by including each possible edge independently with an individual probability. Based on an intuitive concept of neighborhood density, we show two sufficient conditions guaranteeing k-connectivity and k-robustness, respectively, which are asymptotically equivalent. Our framework sheds some light on extending uniform threshold values in homogeneous random graphs to threshold landscapes in inhomogeneous random graphs.
Receding Horizon Linear Quadratic Tracking Design and Implementation: A Practical Study on a Dual-stage Piezoactuator

In this work we compare three practical versions of a receding horizon Linear Quadratic Tracking (LQT) controller in terms of practical considerations such as computational speed and online storage requirements. This work is motivated by the need for effective tracking control of one stage of a dual-stage piezoelectric actuator in non-raster scanning for atomic force microscopy; this application sets challenging requirements on the needed sample rates and tracking bandwidth but also implies that the signal to be tracked is periodic. The first and second versions of our LQT controller compute all relevant values offline, storing what is needed for replay at runtime, with the second version using the steady-state values of the controller gains and the first version using the optimal, finite horizon values. The third approach computes the feedforward term that is based on the reference signal at runtime, requiring more computation than the first two but providing significant flexibility in implementation since the reference can be changed during a run. However, the online computation implies that only a limited planning horizon can be handled. These approaches are compared through simulation. The third method was implemented and validated on a physical dual-stage system.
Diagonal Entry Restrictions in Minimum Rank Matrices, and the Inverse Inertia and Eigenvalue Problems for Graphs

Diagonal Entry Restrictions in Minimum Rank Matrices, and the Inverse Inertia and Eigenvalue Problems for Graphs Curtis G Nelson Department of Mathematics, BYU Master of Science Let F be a field, let G be an undirected graph on n vertices, and let S (G) be the set of all F -valued symmetric n × n matrices whose nonzero off-diagonal entries occur in exactly the positions corresponding to the edges of G. Let MR (G) be defined as the set of matrices in S (G) whose rank achieves the minimum of the ranks of matrices in S (G). We develop techniques involving Ẑ, a process termed nil forcing, and induced subgraphs, that can determine when diagonal entries corresponding to specific vertices of G must be zero or nonzero for all matrices in MR (G). We call these vertices nil or nonzero vertices, respectively. If a vertex is not a nil or nonzero vertex, we call it a neutral vertex. In addition, we completely classify the vertices of trees in terms of the classifications: nil, nonzero and neutral. Next we give an example of how nil vertices can help solve the inverse inertia problem. Lastly we give results about the inverse eigenvalue problem and solve a more complex variation of the problem (the λ, μ problem) for the path on 4 vertices. We also obtain a general result for the λ, μ problem concerning the number of λ’s and μ’s that can be equal.