Miracle-dz/UniFAR-FTUs huggingface dataset:
New Conceptual Model of Employee Engagement in Formal and Informal Organizations of Japanese Companies

Like European and U.S. companies, Japanese companies also require to disclose human capital details to institutional investors. Employee Engagement (EE) is an indicator of human capital that the government and Japanese companies consider important. Engagement is a relatively new concept, however, that has not yet been defined by researchers. According to a survey by a research firm, the EE scores of Japanese companies are much lower than in other countries. Therefore, it is unclear whether the concept of engagement fits the corporate culture of Japanese companies and the characteristics of the Japanese people. Using previously studied concepts of EE and Barnard’s organizational theory of formal and informal organizations, we developed a new conceptual model of EE. The characteristics of Japanese companies and culture, as shown in other studies, are applied to the new conceptual model and considered valid.
A New Image Thresholding Method Based on Graph Spectral Theory

In this paper,a novel thresholding algorithm is presented to achieve improved image segmentation performance at low computational cost.The proposed algorithm uses the normalized graph cut measure as the thresholding principle to distinguish an object from the background,as such fair treatment of different sets of diversified sizes is ensured.The weight matrices used in evaluating the graph cuts are based on the gray levels of an image,rather than the commonly used image pixels.For most images,the number of gray levels is much smaller than the number of pixels.Therefore,the proposed algorithm occupies much smaller storage space and requires much lower computational costs and implementation complexity than other graph-based image segmentation algorithms.This fact makes the proposed algorithm attractive in various real-time vision applications such as automatic target recognition(ATR). A large number of examples are presented to show the superior performance of the proposed thresholding algorithm compared to existing thresholding algorithms.
NSWC Library of Mathematics Subroutines

Abstract : The NSWC library is a library of general-purpose Fortran subroutines that provide a basic computational capability in a variety of mathematical activities and emphasis has been placed on the transportability of the codes. Subroutines are available in the following areas: Elementary Operations, Geometry, Special Functions, Polynomials, Vectors, Matrices, Large Dense Systems of Linear Equations, Banded Matrices, Sparse Matrices, Eigenvalues and Eigenvectors, Solution of Linear Equations, Least-Squares Solution of Linear Equations, Optimization, Transforms, Approximation of Functions, Curve Fitting, Surface Fitting, Manifold Fitting, Numerical Integration, Integral Equations, Ordinary - Differential Equations, Partial Differential Equations, and Random Number Generation.
Increasing product competitiveness in weaving SMEs: The role of competency, creativity, and performance

This study examines the link between employee competency, creativity, and performance in generating product competitiveness in the weaving industry. It also analyzed the moderating role of time sufficiency in reinforcing employee performance and product competitiveness. This study was designed quantitatively by administering a questionnaire to 662 employees from 331 weaving SMEs in Indonesia using structural equation modelling. The analysis revealed that employee competency positively affects creativity, performance, and product competitiveness. Additionally, time sufficiency was confirmed as moderator in strengthening the linkage between employee creativity, performance, and product competitiveness.
Product spaces derived from projective mapping and CATA questions: Influence of replicated assessments and increased number of study participants

Methodological research is needed to support the continued popularity of sensory product characterization by consumers. The present research considers stability and reliability of such product spaces. Using data from 13 studies (n = 1332) involving check-all-that-apply questions (CATA) and projective mapping tasks replicated assessments and increasing the sample size are evaluated for their impact on the product spaces derived from a base group of consumers. In each study, a group of consumers (41–95 participants) completed a sensory characterization task twice under identical conditions (“replication” condition), and additional consumers (49–93 participants) completed the task (“increased sample size” condition). The stability of product spaces was evaluated using a bootstrapping resampling approach. Both experimental conditions had a small but positive impact as evidenced by small increases in average RV coefficients across simulations. Additionally, in studies using projective mapping, the confidence ellipses around sample positions were smaller than those established in product spaces with the base group of consumers. This pointed to increased sample discrimination. Practical applications This research reveals that replication and increased sample size by inclusion of additional consumers can be used to increase stability of product spaces from sensory characterization based on projective mapping and CATA questions. Stability in product spaces underpins reliability of the research, and by extension internal validity.
Simultaneous all-optical half-adder, half-subtracter, comparator, and decoder based on nonlinear effects harnessing in highly nonlinear fibers

Abstract. A multifunctional combinational logic module capable of performing several signal manipulation tasks all-optically, such as half-addition/subtraction, single-bit comparison, and 2-to-4 decoding simultaneously is proposed. Several logic functions (A+B¯, A.B, A¯.B, A.B¯, A⊕B, and A⊙B) between two input signals A and B are implemented by harnessing a number of nonlinear effects, such as cross-phase modulation (XPM), cross-gain modulation (XGM), and four-wave mixing (FWM) inside only two highly nonlinear fibers (HNLF) arranged in a parallel structure. The NOR gate (A+B¯) is realized by the means of XPM effect in the first HNLF, whereas, A‾. B, A.B¯, and A.B logics have relied on utilization of XGM and FWM processes, respectively, in parametric medium made up of the second HNLF of parallel arrangement. The remaining A⊕B and A⊙B logics required for successful implementation of the proposed simultaneous scheme are attained by temporally combining previously achieved (A‾.B and A.B‾) and (A.B and A+B‾) logics. Quality-factor ≥7.4 and extinction ratio ≥12.30 dB have been achieved at repetition rates of 100 Gbps for all logic functions (A+B‾, A.B, A¯.B, A.B¯, A⊕B, and A⊙B), suggesting successful simultaneous implementation.
Analyzing the causation of a railway accident based on a complex network

In this paper, a new model is constructed for the causation analysis of railway accident based on the complex network theory. In the model, the nodes are defined as various manifest or latent accident causal factors. By employing the complex network theory, especially its statistical indicators, the railway accident as well as its key causations can be analyzed from the overall perspective. As a case, the "7.23" China—Yongwen railway accident is illustrated based on this model. The results show that the inspection of signals and the checking of line conditions before trains run played an important role in this railway accident. In conclusion, the constructed model gives a theoretical clue for railway accident prediction and, hence, greatly reduces the occurrence of railway accidents.
Improvement of measuring accuracy of magnetic field strength in single sheet testers by using two H coils

The accuracy of the measured magnetic field strength of single sheet testers using an H coil[1-4] is examined by finite element analysis. An improved measuring method which uses two H coils is proposed from this investigation. It is clarified that the best measuring method of magnetic field strength is the improved two H coil method. The validity of the new method is confirmed by experiments.
Aerodynamic Model for Tandem Flapping Wings

An aerodynamic model for tandem flapping wings is proposed. The model attempts to represent insects such as the dragonfly. Two advances are presented: the aerodynamic model with tandem wings flapping simultaneously, and the wing-stroke optimization. The aerodynamic model accounts for the inflow effects of the front wing (forewing) on the rear wing (hind wing). The stroke is optimized at two flight conditions (acceleration and level flight) by using a heuristic optimization procedure (particle swarming). The vector of the design variables consists of 28 independent parameters (14 per wing), each with a constrained range derived from the maximum available power, the flight muscle ratio, and kinematics of real insects. The cost function is the propulsive efficiency coupled with constraints for flight stability. Prediction of the level flight efficiency is in agreement with the flight muscle efficiency. The maximum acceleration is found to be dependent on the size of the flight muscle. Finally, a study of the.
Development and Validation of Method for Simultaneous Estimation of Atorvastatin Calcium and Ramipril from Capsule Dosage Form by First Order Derivative Spectroscopy.

Atorvastatin Calcium and Ramipril are used in combination for treatment of hypertension. The present work deals with simple spectrophotometric method development for simultaneous estimation of Atorvastatin Calcium (ATR) and Ramipril (RAM) in two component capsule formulation. The method employed first order derivative spectroscopy1. For determination of sampling wavelength 10 μg/ml of each of ATR and RAM were scanned in 200–350 nm range and sampling wavelengths were 294 nm for ATR were RAM showed zero crossing point and 229 nm for RAM were ATR showed zero crossing point in first order derivative spectroscopy. For this method linearity observed in 5–40 μg/ml for ATR and 2–20 μg/ml for RAM. The recovery studies confirmed accuracy of proposed method and low values of standard deviation confirmed precision of method. The method is validated as per ICH guidelines.
Real-Time Detection of Face Mask Using Convolutional Neural Network

Masks are a simple barrier that can help us prevent transmission and spread of disease from other people who enter the body, avoid exposure to air pollution, and protect the face from the adverse effects of sunlight. However, many people are still ignorant about the importance of wearing masks for health. This study aims to detect whether or not to use masks in real-time by proposing a deep learning model to reduce illness and death caused by air pollution. The convolutional Neural Network (CNN) method was used in this research to detect facial recognition using a mask and not using a mask. The public dataset used in this research consists of 1300 images with 650 data using masks and 650 data without masks. The results of this study show that the proposed CNN method works well in detecting masked and non-masked faces in real time. The proposed method obtains an accuracy value of 97.5% at epoch 50. Previous research on mask detection using the Eigenface method yielded an accuracy of 88.89%, and another study using the Viola-Jones method yielded an accuracy of 95.5%. It can be concluded that this research can increase the accuracy value of previous studies. So, this research is feasible to be applied to the detection of mask use in real time.
Effectiveness of DKI Governor Regulation No. 31 of 2019 on Rivers in the Capital Region of Jakarta

This journal aims to analyze the effectiveness of DKI Governor Regulation No. 31 of 2019 concerning Development and Revitalization of Water Resources Infrastructure in an Integrated with the Naturalization Concept of Rivers in the Jakarta Area. This journal analyzes the concept of water naturalization as a solution to restore river water quality in Jakarta. In addition, this journal also analyzes how this Pergub can overcome problems related to the restoration of river water quality in Jakarta. The results of this journal show that this Pergub is effective in improving the quality of river water in Jakarta by applying the concept of water naturalization.
Secret Sharing Scheme for Image Encryption Based on Primitive Root Theorem

In recent years, there has been increasing trend for multimedia applications to use delegate service providers for content distributions. These delegate services have brought new challenges to the protection of multimedia content confidentiality. Encryption can be used to hide information from unauthorized individuals, either in transit or in storage. This technique transforms the content into unintelligible and unviewable format. This paper proposes image encryption using secret sharing scheme. According to this process there are two levels of encryption. The first level, generates the random polynomial of degree (t-1) , where t is a threshold value. The constant term is taken as the secret. In the second level construct the transformation matrix using secret and primitive root theorem. This matrix is used for encryption purpose. Experimental results and security analysis shows that the proposed algorithm offers good resistance against brute force attack and statistical crypt analysis.
Extended optimal age replacement policy with minimal repair

Nous proposons et analysons une generalisation de la politique de renouvellement pour vieillissement; lorsque le systeme est en panne a l'instant y ≤ t, il est, ou bien remplace par un systeme neuf (panne du type II) avec une probabilite p(y), ou bien soumis a une reparation minimale (panne du type I), avec une probabilite q(y) = 1 − p(y). Sinon, le systeme est remplace lorsque la premiere panne apres l'instant t survient ou lorsque le temps total de bon fonctionnement atteint T(0 ≤ t ≤ T). Le cout de la i-ieme reparation minimale a l'instant y comprend une partie aleatoire C(y) et une partie deterministe c i (y). L'objet de cet article est de trouver la paire optimale (t*, T*) qui minimise a la longue l'esperance du cout, par unite de temps, de la politique
Thermal Analysis of Vertical Ground Exchangers of Heat Pumps

The heat rate absorbed from the ground by a vertical ground exchanger of a heat pump unit is considered. The aim is to investigate the time variation of this energy rate for a set of parameters. The analyzed set of alternatives encompasses arrangements of the exchanger tubes, values of the temperature of the heat carrier, thermal parameters of the ground, periodic operation of the compressor, and, when appropriate, different values of seepage velocity. To achieve this goal, the transient temperature distributions in the soil surrounding the ground exchanger are evaluated. The calculations are carried out using both PATRAN-THERMAL, a commercial finite volume code, and FEMCONV, an in-home FEM package. Characteristic features of the latter are discussed briefly along with some results of simulations for a ground exchanger with tube-in-tube (Field-type) elements. It is shown that in every case, the heat rate absorbed from the ground depends on the season and reaches the minimum value in the second part of winter. As expected, a strong influence of the arrangement of the exchanger tubes and the motion of moisture is observed. It is shown that if the prices of the electric energy are variable during a day, it may be profitable to operate an HP unit compressor in a periodic regime. The approximate values of the heat pump unit coefficient of performance, defined as the ratio of heat output of HP and compressor driving power, are evaluated. It is pointed out that this coefficient depends on the heat carrier temperature, and therefore this temperature may also be a subject of optimization calculations.
Analysis of Identification of Food Commodity Farmers’ Needs in utilizing Smart Farming Technology

Smart farming technology (SFT) is currently widely used by farmers around the world. Especially in Asia, the use of SFT is increasing. Before introducing SFT to farmers, it is necessary to research what kind of technology farmers need based on the commodities they cultivate. The research objectives are: (1) To find out the interest in the types of Smart Farming technology (SFT) for food commodity farmers in Aceh Province; and (2) To identify differences in interest between types of Smart Farming (SFT) technology by food commodity farmers in Aceh Province. This research was conducted in 2 districts of Aceh province, namely Bener Meriah and North Aceh. The research was carried out in January 2022. The method of determining the sample in this study uses a non-probability sampling method with quota sampling as a sampling technique. This study uses descriptive statistical methods, cross tabulation test analysis and the Kruskal Wallis test. The result is interest of food commodity farmers for each type of SFT is very varied. Corn and potato farmers are interested in 3 types of SFT Autonomous Machines, Recording/Mapping and FMIS/Apps. Paddy farmers are interested in 4 types of SFT, namely Autonomous Machines, Recording/Mapping, Tractor GPS/Connected Tools, and FMIS/Apps. The SFT in demand has significant differences for each food commodity farmer, such as Recording/Mapping and Tractor GPS/Connected Tools. For Autonomous Machines and FMIS/Apps, there are no significant differences in the interest of each food commodity farmer.
Phenotypic and genetic performance of Arabica coffee seedling due to effect of genotype and urea

Growth and production of arabica coffee are affected by seedling quality which is depends on genotype and seedling maintenance such as fertilizer Urea. Th objective of this research was to examine the effect of arabica coffee genotype and fertilizer Urea on the phenotypic and genetic performance of seedlings. The experiment was done at the greenhouse of Agriculture Faculty of Nommensen HKBP University in Medan. Seven Arabica coffee genotypes of from seven coffee garden in Subdistrict Dolok Sanggul and four level of fertilizer Urea were used. Plant height, stem diameter, leaf number, leaf area, and its ratio were observed. The result revealed that significant interaction of ratio of leaf number and stem diameter proves that the certain dosage of Urea and certain genotype and will give the higest performance. Heritabilites coefficient, advance of genetic, and genotypic coefficient of variations were low. Phenotypic coefficient of variations of were low, moderate and high. Phenotypes and phenotypic ratios correlated highly significant.
Development of a compact 406 nm diode laser-based cavity-enhanced spectrometer for high-sensitive detection of NO2 levels in exhaust gas

Nitrogen dioxide (NO2) is an important air pollutant due to its environmental impact and adverse effects on human health. It is released into the atmosphere primarily through anthropogenic activities. Here, we report on the development of a simple, compact, and cost-effective robust optical detection method exploiting cavity-enhanced absorption spectroscopy for high-sensitive and selective measurement of NO2 levels in real-time using a visible diode laser operating at 406 nm. A typical detection limit of ∼330 ppb for NO2 was achieved with an optimum acquisition time of ∼3.9 s, at optimal cavity pressure of 100 Torr. The sensor system demonstrates an effective optical path-length of 180 m in a high-finesse 50 cm long optical cavity in an interference-free spectral region and aerosol-free conditions. The spectrometer was optimized, calibrated, and demonstrated for the detection of NO2 levels in vehicular exhaust gases.
Characteristic mode analysis of wideband high-gain and low-profile metasurface antenna

A wideband high-gain and low-profile metasurface antenna is proposed by analyzing characteristic quantities and parameters in the characteristic modes (CMs). The detailed modal current and modal weighting coefficient are analyzed to explain the broadband operation and high gain. A dominant characteristic mode is well excited, leading to a broadband operation. The mode behaviors of the excitation are changed to suppress the unwanted higher-order modes and improve the radiation performance by changing the widths of two patches. The measured impedance bandwidth for –10 dB is 39.8% (5.3 GHz–7.94 GHz) with a gain of 7.8 dBi–10.04 dBi over the operating bandwidth.
Modulating of arbuscular mycorrhizal fungi spores by collaboration between soil fauna ecosystem engineers and biochar

Soil fauna as ecosystem engineers and biochar play a role in spore modulating of arbuscular mycorrhizal fungi (AMF). This study aims to analyze the effect of the soil fauna and biochar dosage on the AMF spore in abundance and diversity, and to investigate infection presence of AMF to maize roots grown in modified soil. Sixteen combinations of the soil fauna and biochar dosage in 1.5 kg of soil were tested. The abundance, genus richness, Shannon indices, and Simpson indices of AMF spore counted at 4, 6, and 8 weeks after treatment. Maize grown in different pots filled with 100 g of soil from each treatment, and root infection using aniline blue staining observed after 28 days of rearing. The results showed the total spore produced with 15 Pheretima sp. + 15 Ponera sp. and 50 g of biochar was the highest, while the treatment without ecosystem engineers and 150 g of biochar produced the fewest. Furthermore, genus richness with 15 Pheretima sp. + 15 Ponera sp. and without biochar was the richest, while the treatment without ecosystem engineers and 150 g biochar was the poorest. Maize grown on soils treated with ecosystem engineers and biochar dose up to 50 g sustained life, while the 100 g and 150 g treatments did not, as roots infected with the mycorrhizal. Based on the results, the soil fauna and biochar dosage to some extent increased the number of AMF spores and created a suitable soil environment for growth and AMF infections to maize roots.
System scan of the multiplicity correlation between forward and backward rapidities in relativistic heavy-ion collisions using a multi-phase transport model

A systematic study on forward–backward (FB) multiplicity correlations from large systems to small ones through a multi-phase transport model (AMPT) has been performed and the phenomenon that correlation strength increases with centrality can be explained by taking the distribution of events as the superposition of a series of Gaussian distributions. It is also found that correlations in the plane can imply the shape of the event. Furthermore, long-range correlations originate from the fluctuations associated with the source information. FB correlations allow us to decouple long-range correlations from short-range correlations, and may provide a chance to investigate the α-clustering structure in initial colliding light nuclei as well. It seems the tetrahedron 16O + 16O collision gives a more uniform and symmetrical fireball, that emits the final particles more isotropically or independently in the longitudinal direction, indicating that the forward–backward multiplicity correlation could be used to identify the pattern of α-clustered 16O in future experiments.