Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Knowledge-Based Human Resource Management in Sustainable Competitive Advantage - Field Research

The research seeks to determine the level of variables in the companies surveyed, to clarify the impact of knowledge-based human resource management in its four dimensions on the sustainable competitive advantage. The research was applied in Internet companies (EarthLink, Al-Hayat, Al-Jazeera, Hala Al-Rafidain, Orient, Supercell, Al-Dash Net) in the city of Baghdad, because this sector is vital and in direct contact with the daily needs of customers by providing them with the Internet and information security.The problem of the research was the lack of some companies' mechanisms and policies to enhance the loyalty of these valuable resources, which resulted in the difficulties of generating knowledge, producing information, storing it, and investing it appropriately in order to achieve a sustainable competitive advantage, in addition to that, companies are still working with the traditional wage system (monthly salaries), which makes individuals not think about adding The value of the work and through that the following question was raised why the reliance of the managers of the surveyed companies on knowledge-based human resources management decreased in achieving sustainable competitive advantage? In the light of which the importance and objectives of the research were determined, and the hypotheses of correlation and influence were formulated and the negative impact and moral differences of the research variables were addressed, A methodology was relied upon in this research, which is the exploratory approach, which relies on analyzing the questionnaire based on theoretical hypotheses that are proven through practical tests and comparing the results between the seven companies. After evaluating and testing the validity and reliability of the research measurement tools, the data was analyzed and hypotheses were tested using appropriate statistical tools such as the arithmetic mean and standard deviation.The results showed the validity of the correlation and influence relationships at the level of the variables.
Transformer-based ensemble deep learning model for EEG-based emotion recognition

Emotion recognition is one of the most important research directions in the field of brain–computer interface (BCI). However, to conduct electroencephalogram (EEG)-based emotion recognition, there exist difficulties regarding EEG signal processing; moreover, the performance of classification models in this regard is restricted. To counter these issues, the 2022 World Robot Contest successfully held an affective BCI competition, thus promoting the innovation of EEG-based emotion recognition. In this paper, we propose the Transformer-based ensemble (TBEM) deep learning model. TBEM comprises two models: a pure convolutional neural network (CNN) model and a cascaded CNN-Transformer hybrid model. The proposed model won the abovementioned affective BCI competition’s final championship in the 2022 World Robot Contest, demonstrating the effectiveness of the proposed TBEM deep learning model for EEG-based emotion recognition.
IMPLEMENTASI CAPITAL ADEQUACY RATIO DAN HUMAN RESOURCE SLACK DALAM MENGOPTIMALKAN PENERAPAN SUSTAINABLE FINANCE

Abstract The research objective of this study was used to empirically examine data related to the effect of Capital Adequacy Ratio (CAR) and Human Resource Slack (HRC) on the implementation of sustainable finance implemented from 10 sub-sector sample companies in Islamic banks listed on the IDX for the period 2017- 2020. The analysis used to measure the variables to be examined uses multiple linear regression analysis to test and determine the causal relationship between the independent variables on the implementation of sustainable finance. The results of the research itself show conditions where the Capital Adequacy Ratio has no effect on the implementation of sustainable finance. In addition, a positive effect of Human Resource Slack was also found on the implementation of sustainable finance Keywords capital adequacy ratio; human resource slack; implementation of sustainable finance.
Keeping the line in transition years: Comparison of preschoolers and nine graders

The study deals with the graphomotor difficulties of children at the beginning and the end of primary school. The aim is to describe and analyze the occurrence of two manifestations of graphomotor problems: tremor and line continuity. The results of the redrawing of seven graphics were compared. Fifty-one (51) preschoolers and 22 nine graders participated in the research. The tremor was detected at 1/5 to 4/5 of preschoolers and at 1/5 to 3/5 of ninth graders; the prevalence of the tremor decreases with age. Significant differences were found in the number of interruptions in most tasks. Contrary to expectations, more interruptions were found among 9th graders. The result is interpreted based on declining experience with writing and drawing images larger than interlinear differences, experience interference such as writing through discontinuous cursive handwriting, favored by the majority of adolescents, and intervening personality characteristics such as perfectionism, and laziness. Keywords: Adolescents; graphomotor skills; interruptions; preschool children; tremor
Short but Critical?: How “Fake News” and “Anti-Elitist” Media Attacks Undermine Perceived Message Credibility on Social Media

Citizens increasingly turn to social media for information, where they often rely on cues to judge the credibility of news messages. In these environments, populist politicians use “fake news” and “anti-elitist” attacks to undermine the credibility of news messages. This article argues that to truly understand the impact of these criticism cues, one must simultaneously consider additional contextual cues as well as individual-level moderators. In a factorial survey, we exposed 715 respondents to tweets by a politician retweeting and discrediting a news message of which topic and source varied. We find that both the fake news cue and the anti-elitist cue have limited across-the-board effects but decrease credibility if the message is incongruent with voters’ issue positions. Our results thus offer a more optimistic view on the power of populist media criticism cues and suggest that source and confirmation heuristics are (still) stronger influences on citizens’ credibility evaluations.
Facial micro-expression recognition using deep spatio-temporal neural networks

In the billions of faces that are shaped by thousands of different cultures and ethnicities, one thing remains universal: the way emotions are expressed. To take the next step in human-machine interactions, a machine must be able to clarify facial emotions. Allowing machines to recognize micro-expressions gives them a deeper dive into a person’s true feelings at an instant which allows designers to create more empathetic machines that will take human emotion into account while making optimal decisions; e.g., these machines will be potentially able to detect dangerous situations, alert caregivers to challenges, and provide appropriate responses. Micro-expressions are involuntary and transient facial expressions capable of revealing genuine emotions. We propose to design and train a set of neural network (NN) models capable of micro-expression recognition in real-time applications. Different NN models are explored and compared in this study to design a hybrid deep learning model by combining a convolutional neural network (CNN), a recurrent neural network (RNN, e.g., long short-term memory [LSTM]), and a vision transformer. The CNN can extract spatial features (of a neighborhood within an image) whereas the LSTM can summarize temporal features. In addition, a transformer with an attention mechanism can capture sparse spatial relations residing an image or between frames in a video clip. The inputs of the model are short facial videos, while the outputs are the micro-expressions gleaned from the videos. The deep learning models are trained and tested with publicly available facial micro-expression datasets to recognize different micro-expressions (e.g., happiness, fear, anger, surprise, disgust, sadness). The results of our proposed models are compared with that of literature-reported methods tested on the same datasets. The proposed hybrid models perform the best.
Target detection in sun glint using the improved MWIR polarization technique

The sun glint problem is a major issue to be addressed for MWIR marine targets detection. The traditional technique based on the single horizontal linear polarizer was a common method to reduce the sun glint by eliminating its s-polarized component, nevertheless, the residual p-polarized component could be still too strong to saturate the detector in some cases. To solve this problem, the improved polarization technique based on two rotatable polarizers is presented. The field experiment results show that the improved polarization technique can significantly reduce sun glint and enhance the contrast of target images, confirming the effectiveness of the technology.
Class II 6.7 GHz Methanol Maser Association with Young Massive Cores Revealed by ALMA

We explored the implication of the association (or lack of it) of 6.7 GHz class II methanol (CH3OH) masers with massive dense cores (MDCs) detected (within a sample of ATLASGAL selected infrared quiet massive clumps) at 0.9 mm with Atacama Large Millimeter/submillimeter array. We found 42 out of the 112 cores (37.5%) detected with the Atacama Compact Array (ACA) to be associated with 6.7 GHz CH3OH masers. The lowest mass core with CH3OH maser association is . The angular offsets of the ACA cores from the 6.7 GHz CH3OH maser peak positions range from 0. ″17 to 4. ″79, with a median value of 2. ″19. We found a weak correlation between the 0.9 mm continuum (MDCs) peak fluxes and the peak fluxes of their associated methanol multibeam (MMB) 6.7 GHz CH3OH masers. About 90% of the cores associated with 6.7 GHz CH3OH masers have masses of >40 M⊙. The CH3OH maser containing cores are candidates for embedded high-mass protostellar objects in their earliest evolutionary stages. With our ACA 0.9 continuum data compared with the MMB 6.7 GHz CH3OH maser survey, we have constrained the cores already housing massive protostars based on their association with the radiatively pumped 6.7 GHz CH3OH masers.
Asymptotic and numerical analysis of kinetic and fluid models for the transport of charged particles

This thesis is devoted to the mathematical study of some models of partial differential equations from plasma physics. We are mainly interested in the theoretical study of various asymptotic regimes of Vlasov-Poisson-Fokker-Planck systems. First, in the presence of an external magnetic field, we focus on the approximation of massless electrons providing reduced models when the ratio me{mi between the mass me of an electron and the mass mi of an ion tends to 0 in the equations. Depending on the scaling, it is shown that, at the limit, solutions satisfy hydrodynamic models of convection-diffusion type or are given by Maxwell-Boltzmann-Gibbs densities depending on the intensity of collisions. Using hypocoercive and hypoelliptic properties of the equations, we are able to obtain convergence rates as a function of the mass ratio. In a second step, by similar methods, we show exponential convergence of solutions of the Vlasov-Poisson-Fokker-Planck system without magnetic field towards the steady state, with explicit rates depending on the parameters of the model. Finally, we design a new type of finite volume scheme for a class of nonlinear convection-diffusion equations ensuring the satisfying long-time behavior of discrete solutions. These properties are verified numerically on several models including the Fokker-Planck equation with magnetic field
Genetic Diversity of Durian (Durio Zibethinus Murr.) in Nias Island, North Sumatera Use Random Amplified Polymorphic Dna (Rapd) Markers

Durian (Durio zibethinus Murr.) is one of tropic fruits that has varian taste depending on the places of their production. Nias Island, well known as durian production place in North Sumatera. The information about it’s varian was less studied and now day we need that information to analyze variant of durian especially in Nias Island. The aim of this research was to analyze genetic diversity of durian in Nias Island with Random Amplified Polymorphic DNA (RAPD). Ten shoots of durian was collected from each 5 regencies, which were: Nias Selatan, Nias Barat, Nias Utara, Nias Kota, dan Nias Induk. Durian’s DNA has been isolated by using Cetyl Trimethyl Ammonium Bromide (CTAB) method and amplified with six RAPD primers namely: OPA 01, OPA 03, OPA 07, OPA 10, RAPD 05, and OPN 06. The amplified band were scored and translated to biner data, then analyzed using Numerical Taxonomy and Multivariate System (NTSys) and clustered by Unweighted Pair Group Method With Arithme Average (UPGMA) method. Isolated DNA showed a clear and unsmeared band. The size of amplified band was around 221-2855bp with 100% of polymorphism. The dendogram was constructed by 50 accession of Nias’s durian with 0.51-0.59 of similarity value in each population. All of Nias’s durian accession has similiar value of 67% and B2 (Nias Barat) as a farthest genetic distance from all accession.
Waveguide magneto-optical devices for photonics integrated circuits [Invited]

In a planar waveguide including magneto-optical (MO) material with in-plane magnetization, a MO phase shift due to a first-order MO effect is induced. A Mach-Zehnder interferometer (MZI)-based optical isolator and circulator are fabricated by the direct bonding technique between silicon and MO garnets. The MZI can provide optical switching by dynamic control of the magnetization and latching operation with nonvolatile magnetic film. In this paper, waveguide-type MO isolator and switch for photonic integrated circuits are presented.
Theory of Stochastically Excited and Dissipated Hamiltonian Systems — Some New Developments in Nonlinear Stochastic Structural Dynamics

Some new developments in nonlinear stochastic structural dynamics recently made by the present author and his co-workers are reviewed. A nonlinear structure under random loading is modeled as a stochastically excited and dissipated Hamiltonian system of finite degree-of-freedom (DOF). The functional form of the exact stationary solution, the equivalent nonlinear system and the stochastic averaging equations of a stochastically excited and dissipated Hamiltonian system are constructed based on the integrability and resonance of the associated Hamiltonian system, and thus the response of the system is predicted. The stochastic stability, stochastic bifurcation and optimal nonlinear feedback control of the system are treated by using the stochastic averaging method for quasi-Hamiltonian systems. It is pointed out that the theory is promising and deserves further development.
Efficient Wideband mmW Transceiver Front End for 5G Base Stations in 22-nm FD-SOI CMOS

This article presents a fully integrated millimeter-wave (mmW) transceiver front end covering 24.25–29.5 GHz. It features a wideband Doherty power amplifier utilizing adaptive bias and a transmit/receive switch (TRX-switch) that has embedded low noise amplifier to antenna matching. The phase shift of 90° to the Doherty auxiliary amplifier is achieved using a separate IQ-mixer with rearranged phases in the auxiliary path, ensuring a wideband 90° phase shift, and avoiding 3-dB loss from radio frequency (RF) input power splitting. Special emphasis is on the analysis of adaptive bias, the Doherty output combiner network, the decoupling capacitors, and the TRX-switch. Including TRX-switch losses of 1.1 dB in transmit mode, the transmitter reaches a saturated output power of 18.3 dBm with a 1-dB output compression point of 15.9 dBm. Stimulated with a 400-MHz 16-QAM orthogonal frequency-division multiplexing (OFDM) IQ-signal at baseband, without digital IQ-compensation and predistortion, the transmitter delivers a 26.5-GHz modulated signal with an output power (<inline-formula> <tex-math notation="LaTeX">$P_{\mathrm{ out}}$ </tex-math></inline-formula>) of 12.8 dBm and an error vector magnitude (EVM) of -20.2 dB. The complete transmitter, including quadrature local oscillator drivers, then achieves a power added efficiency (PAE) of 5.8%. For a 1600-MHz wide 64-QAM OFDM signal, <inline-formula> <tex-math notation="LaTeX">$P_{\mathrm{ out}}$ </tex-math></inline-formula> is 9.0 dBm, with an EVM <inline-formula> <tex-math notation="LaTeX">$=\,\,-$ </tex-math></inline-formula>23.3 dB and a complete transmitter PAE of 3.2%. In receive mode including TRX-switch, at 27.25 GHz, the noise figure is below 4 dB with a gain of 23 dB and a third-order input-referred intercept point of -9 dBm. The active part of the die, manufactured in 22-nm fully depleted silicon on insulator (FD-SOI) CMOS, occupies 2.3 mm2.
Microphysics and Radiation Effect of Dust on Saharan Air Layer: An HS3 Case Study

A Saharan air layer (SAL) event associated with a nondeveloping African easterly wave (AEW) over the main development region of the eastern Atlantic was sampled by the NASA Global Hawk aircraft on 24–25 August 2013 during the NASA Hurricane and Severe Storm Sentinel (HS3) campaign and was simulated with the NASA Unified Weather Research and Forecasting (NU-WRF) Model. Airborne, ground-based, and spaceborne measurements were used to evaluate the model performance. The microphysical and radiative effects of dust and other aerosols on the SAL structure and environment were investigated with the factor-separation method. The results indicate that relative to a simulation without dust–radiative and microphysical impacts, Saharan dust and other aerosols heated the SAL air mainly through shortwave heating by the direct aerosol–radiation (AR) effect, resulting in a warmer (up to 0.6 K) and drier (up to 5% RH reduction) SAL and maintaining the strong temperature inversion at the base of the SAL in the presence of predominant longwave cooling. Radiative heating of the dust accentuated a vertical circulation within the dust layer, in which air rose (sank) in the northern (southern) portions of the dust layer. Furthermore, above and to the south of the dust layer, both the microphysical and radiative impacts of dust tended to counter the vertical motions associated with the Hadley circulation, causing a small weakening and southward shift of convection in the intertropical convergence zone (ITCZ) and reduced anvil cloud to the north. Changes in moisture and cloud/precipitation hydrometeors were largely driven by the dust-induced changes in vertical motion. Dust strengthened the African easterly jet by up to ~1 m s−1 at the southern edge of the jet, primarily through the AR effect, and produced modest increases in vertical wind shear within and in the vicinity of the dust layer. These modulations of the SAL and AEW environment clearly contributed to the nondevelopment of this AEW.
A single-azimuth pinna-related transfer function database

Pinna-Related Transfer Functions (PRTFs) reflect the modifications undergone by an acoustic signal as it interacts with the listener’s outer ear. These can be seen as the pinna contribution to the Head-Related Transfer Function (HRTF). This paper describes a database of PRTFs collected from measurements performed at the Department of Signal Processing and Acoustics, Aalto University. Median-plane PRTFs at 61 different elevation angles from 25 subjects are included. Such data collection falls into a broader project in which evidence of the correspondence between PRTF features and anthropometry is being investigated.
Semiparametric model average prediction in panel data analysis

ABSTRACT Forecasting in economic data analysis is dominated by linear prediction methods where the predicted values are calculated from a fitted linear regression model. With multiple predictor variables, multivariate nonparametric models were proposed in the literature. However, empirical studies indicate the prediction performance of multi-dimensional nonparametric models may be unsatisfactory. We propose a new semiparametric model average prediction (SMAP) approach to analyse panel data and investigate its prediction performance with numerical examples. Estimation of individual covariate effect only requires univariate smoothing and thus may be more stable than previous multivariate smoothing approaches. The estimation of optimal weight parameters incorporates the longitudinal correlation and the asymptotic properties of the estimated results are carefully studied in this paper.
TRANSFORMATIONS ON DENSITY OPERATORS PRESERVING GENERALISED ENTROPY OF A CONVEX COMBINATION

We aim to characterise those transformations on the set of density operators (which are the mathematical representatives of the states in quantum information theory) that preserve a so-called generalised entropy of one fixed convex combination of operators. The characterisation strengthens a recent result of Karder and Petek where the preservation of the same quantity was assumed for all convex combinations.
The influence of particle size on the absorption rate of catfish (Clarias gariepinus) bone calcium

The adequacy of calcium from food consumption is difficult to meet because of its low absorption rate. One of the ways to increase calcium absorption is to increase its solubility by decreasing its particle size to the nanometer scale. Nanoparticles have better performance due to their increased surface area-to-volume ratio. This study aimed to determine the effect of the particle size of fish bones on calcium absorption rate. The catfish bone flour was made by two methods with the same stages, but they differed in the use of tools (the machine method and the traditional method). The particle size analysis of the flour showed that the machine method was in the nanometer range. The nutritional content of the machine-milled flour was rich in protein and lipids, while the flour produced by the traditional method was rich in calcium, phosphorus, and carbohydrates. Based on the results of the absorption test, both catfish bone flours were proven to be able to gradually increase calcium levels to their peak at 2 h post-administration. In sum, bone flour with nanoparticle sizes produced by the machine was able to maximize the calcium absorption rate in rats.