Miracle-dz/UniFAR-FTUs huggingface dataset:
PELATIHAN DIGITAL MARKETING BAGI PELAKU UMKM KUE TRADISIONAL DUSUN JUNTI KAUM

The internet has been used by various circles of society, including Micro, small and medium Enterprises entrepreneurs in the regions. However, the lack of insight and education for Micro, Small and Medium Enterprises entrepreneurs causes not optimal use of the internet in supporting business processes in order to increase the profits achieved by Micro, Small and Medium Enterprises. One of the uses of the internet in business management is digital marketing. Digital Marketing is a form of marketing or promotion of a product using digital media or the internet with the aim of attracting consumers quickly. Based on the results of observations and interviews conducted, it was found that there were problems where MSME actors were still selling products manually and had not done marketing through digital marketing. The implementation method used is training with the aim of increasing the understanding of Micro, Small and Medium Enterprises of Traditional Cakes about digital marketing in Junti Kaum Hamlet. The activities include providing counseling on digital marketing to Micro, Small and Medium Enterprises, training on making digital stores and training in marketing publications. This activity is carried out as a form of community service through Real Work Lectures organized by the 45 Bekasi Islamic University Research and Service Institute.
Time constant in the onset and decay flow of Taylor-Couette flow around critical Reynolds number

In the Taylor Couette system, the radii of the inner and outer cylinders are Ri and Ro, respectively. The radius ratio η = 0:667 and the critical Reynolds number for the onset of the Taylor Couette flow is 66.5 [8]. The length of the cylinder is L and the aspect ratio Γ is given by L=(Ro Ri). Both end walls of the cylinders are fixed and stationary. The governing equation is the time-dependent axisymmetric Navier-Stokes equation and the equation of the continuity represented by the cylindrical coordinate system. The velocity components in the radial, azimuthal and axial directions are u, v and w, respectively. These equations are solved by the finite difference method. The fractional step method is used to integrate in the time direction. Initially, the subcritical flow at Re = 65.5 and the supercritical flow at Re = 67.5 are obtained as well-developed flows. Then the Reynolds number is increased to 67.5 or it is decreased to
The Effect of Corporate Governance in Islamic Banking on the Agility of Iraqi Banks

The primary purpose of the research is to investigate the impact of corporate governance in Islamic banking on the agility of Iraqi banks. In other words, the current study seeks to find an answer to the question of whether corporate governance in Islamic banking can affect the agility and speed of change of banks in the face of problems in Iraq or not. For this purpose, the research method is applied based on the goal and descriptive survey based on the method. The statistical population of this study is all managers, employees and customers of the public and private banks of Iraq, and a total of 70 questionnaires have been completed and analyzed. The sampling method of the research is non-random, and the available population has been selected as the sample size. In this research, PLS tests have been used to investigate the effect of independent variables on the dependent variable. The research results indicate that corporate governance in Islamic banking has had a positive effect on the agility of Iraqi banks, meaning that with the increase of corporate governance mechanisms in Iraqi Islamic banking, the rate of change of banks (agility of banks) has been facing more problems.
Semantic SLAM for mobile robots in dynamic environments based on visual camera sensors

Visual simultaneous localization and mapping (vSLAM) is inherently constrained by the static world assumption, which renders success in the presence of dynamic objects rather challenging. In this paper, we propose a real-time semantic vSLAM system designed for both indoor and outdoor dynamic environments. By employing object detection, we identify 80 categories and utilize motion consistency checks to pinpoint outliers in each image. Distinct methods are presented for examining the motion states of humans and other objects. For detected humans, an algorithm is introduced to assess whether an individual is seated, subsequently dividing the bounding boxes of seated individuals into two parts based on human body proportions. We then use the same threshold values for standing individuals to determine the states of the two boxes belonging to seated individuals. For non-human objects, we propose an algorithm capable of automatically adjusting the threshold values for different bounding boxes, thereby ensuring consistent detection performance across various objects. Ultimately, we retain points within static boxes contained in dynamic boxes while eliminating other points in dynamic boxes to benefit from a larger number of detected categories. Our SLAM is evaluated on indoor TUM and Bonn RGB-D datasets, with further testing conducted on the outdoor stereo KITTI dataset. The results reveal that our SLAM outperforms most SLAM systems in dynamic environments. Moreover, we test our system in real-world environments with a monocular camera, demonstrating its robustness and universality across diverse settings.
An Ensemble Approach for the Estimation of Observational Error Illustrated for a Nominal 1° Global Ocean Model

AbstractLeast squares algorithms for data assimilation require estimates of both background error covariances and observational error covariances. The specification of these errors is an essential part of designing an assimilation system; the relative sizes of these uncertainties determine the extent to which the state variables are drawn toward the observational information. Observational error covariances are typically computed as the sum of measurement/instrumental errors and “representativeness error. ” In a coarse-resolution ocean general circulation model the errors of representation are the dominant contribution to observational error covariance over large portions of the globe, and the size of these errors will vary by the type of observation and the geographic region. They may also vary from model to model. A straightforward approach for estimating model-dependent, spatially varying observational error variances that are suitable for least squares ocean data assimilating systems is presented here.
Local data assimilation scheme for wave predictions close to the Portuguese ports

The present work describes developments in improving the wave predictions close to the most important Portuguese ports. A wave modelling system was implemented and focused on the Portuguese continental nearshore. It is based on WAM, for the wave generation and on SWAN, for the coastal transformation. The system has been operational since October 2008 and delivers daily forecast products corresponding to four days ahead. Validations of the results were performed against both buoys and satellite data. In order to improve the wave predictions in the nearshore areas neighbouring the Portuguese harbours targeted, two new steps were performed and they are presented in this work. Firstly, high resolution computational domains covering the vicinities of the ports were connected to the wave prediction system. As a further step, a data assimilation scheme was also implemented. The procedure considered uses the data provided by the buoys that are operating in the vicinity of the main Portuguese ports and gives real time estimations of the significant wave height. A recursive successive correction algorithm was developed to improve the model predictions close to the locations of the buoys. The assimilation of the buoy data was performed on three levels – time, geographical and spectral spaces. This procedure allows corrections to the boundary conditions considered for the high resolution computational domains implemented in the vicinity of the harbour areas. The results show that data assimilation makes the wave prediction system more accurate, particularly in conditions where waves are usually less well modelled such as during storms.
Optimised Search Heuristics: A Mapping of Procedures and Combinatorial Optimisation Problems

Recently hybrid metaheuristics have been design to find solutions for combinatorial optimisation problems. We focus on hybrid procedures that combine local search based metaheuristics with exact algorithms of the operations research field. We present a mapping that outlines the metaheuristic and exact procedures used, the way they are related and the problems they have been applied to.
Synthesis and characterization of new nanocomposites-based polyimide/modified montmorillonite and their applications in gas separation

ABSTRACT This study reports synthesis of nanocomposite materials-based polyimide (PI) matrix and reactive modified montmorillonite (m-MMT) as a reinforcing agent. New diamine and PI derived from amino acid (L-phenylalanine) fractions in the structure as pendant group were synthesized. The best dispersion of m-MMT was observed for PI/m-MMT 3% nanocomposites, which resulted in the best mechanical performance with an increase of 56% in tensile modulus and 14% in yield strength, respectively compared to that of pure PI. The maximum ideal selectivity achieved was 15.89 with 3% loading at 4 bar pressure which is 42.52% higher than neat PI membrane. GRAPHICAL ABSTRACT
A Single-Side Micromachined MPa-Scale High-Temperature Pressure Sensor

This paper proposes a piezoresistive high-temperature absolute pressure sensor based on (100)/(111) hybrid SOI (silicon-on-insulator) silicon wafers, where the active layer is (100) silicon and the handle layer is (111) silicon. The 1.5 MPa ranged sensor chips are designed with the size as tiny as 0.5 × 0.5 mm, and the chips are fabricated only from the front side of the wafer for simple, high-yield and low-cost batch production. Herein, the (100) active layer is specifically used to form high-performance piezoresistors for high-temperature pressure sensing, while the (111) handle layer is used to single-side construct the pressure-sensing diaphragm and the pressure-reference cavity beneath the diaphragm. Benefitting from front-sided shallow dry etching and self-stop lateral wet etching inside the (111)-silicon substrate, the thickness of the pressure-sensing diaphragm is uniform and controllable, and the pressure-reference cavity is embedded into the handle layer of (111) silicon. Without the conventionally used double-sided etching, wafer bonding and cavity-SOI manufacturing, a very small sensor chip size of 0.5 × 0.5 mm is achieved. The measured performance of the 1.5 MPa ranged pressure sensor exhibits a full-scale output of approximately 59.55 mV/1500 kPa/3.3 VDC in room temperature and a high overall accuracy (combined with hysteresis, non-linearity and repeatability) of 0.17%FS within the temperature range of −55 °C to 350 °C. In addition, the thermal hysteresis is also evaluated as approximately 0.15%FS at 350 °C. The tiny-sized high temperature pressure sensors are promising in various industrial automatic control applications and wind tunnel testing systems.
An Emphatic Perspective: How Do Pre-School and Classroom Teacher Candidates Interpret Child Abuse and Neglect?

This study aims to evaluate the perceptions of teacher candidates regarding child abuse and neglect as well as propose preventive measures. Utilizing a phenomenological design, a qualitative research method, the study focuses on understanding the unique experiences of individuals. The sample was selected through purposive random sampling and homogeneous sampling techniques. Data was gathered from 13 participants, including 7 elementary education candidates and 6 pre-school education candidates, at the Faculty of Education of a public university in Turkey during the 2018-2019 academic year. The participants' work was analyzed using "content and descriptive analysis" methods. The study found that teacher candidates depicted child abuse and neglect as "a distressing situation that makes children unhappy. " In their drawings, they predominantly used black to represent abused children, while abusers were symbolized through metaphors such as "dirty, darkened hands. " The research demonstrated that the teacher candidates were capable of defining child abuse, understanding its various forms, empathizing with the emotions of abused children, and proposing potential solutions.
Research on the differential discrimination of electric power standards based on knowledge graph

With the development of electric power industries, the number of standards has grown rapidly. However, the contents of standard clauses extracted from various fields are often inconsistent. It is difficult for the staff to choose the proper standard clauses in their work. Therefore, it is significant to provide staff with consistent electric power standard clauses. This paper takes the standard documents in the electric power field as the data source, and focuses on how to find out the related but inconstant clauses in the documents. We take advantage of the entity relationships of knowledge graph to get the discrepancies of electric power standard clauses. The experimental results illustrate the good performance of the proposed method in terms of precision and recall. The precision rate is 76.45%, and the recall rate reaches 84.72%. In addition, the proposed approach could also provide a solution to the differential discrimination of standard documents in various industries.
Accurate Laboratory Wavelengths of the A1Π(υ' = 0-5)-X1Σ+(υ'' = 0) Vibronic Bands of 12C17O and 12C18O

Twenty nine rovibronic lines of 12C17O for which laboratory wavelengths were previously unavailable were detected in laser-induced fluorescence excitation spectra of the six vibronic bands A1Π(υ′ = 0-5)-X1Σ+(υ′′ = 0). Rovibronic lines of 12C16O, 13 C16O, 12C17O, and 12C 18O were detected in each band, allowing accurate determination of the unknown wavelengths using neighboring 12C16O and 13C16O lines as reference. The new wavelength data yield consistent heliocentric velocity values when applied to vacuum ultraviolet observations of 12C17O and 12C 18O in the interstellar medium.
Two-dimensional thermoelectrics with Rashba spin-split bands in bulk BiTeI

The Rashba effect is interesting for thermoelectrics because of the unique spin-splitting band structure. By using bulk BiTeI with a giant Rashba effect as an example, we prove that the spin-splitting-induced constant density of states leads to a two-dimensional thermopower. The thermopower is higher as compared with that in spin-degenerate bands, primarily due to the lower Fermi level in the Rashba spin-splitting bands at given carrier concentrations. A quantitative relation between thermopower and the Rashba parameter is established. Furthermore, the internal electric field in the Rashba system can be beneficial to bond anharmonicity and low lattice thermal conductivity. We suggest that bulk materials with large Rashba effect may become potential candidates for efficient thermoelectricity.
Is Strategic Leadership having a mediating role in Ethiopia's SMEs sector when it comes to Entrepreneurial Skill and Motivation? A Multivariate Investigation

The major prospects for MSE will result from their participation in the global marketplace as the financial system keeps moving towards greater integration. It is widely acknowledged that SMEs are increasingly significant in producing jobs, money, and innovation. Nevertheless, there are significant issues with the caliber of management, strategic leadership, entrepreneurial skill, and motivation in this industry, shortcomings in innovation, a lack of business savvy, marketing, entrepreneurial flair, and issues with practical knowledge and HR administration. This study will analyze the impact of entrepreneurial talent and motivation on business success, with strategic leadership as a mediating factor: The situation of a few SME sectors in Ethiopia. The study employed a Quantitative research design method using surveys and questionnaires to collect data. The selections of respondents for this study will be random sampling and purposive sampling for SME owners and leaders of both zonal and town job opportunity creation and skill offices and are purposely selected to respond to the questionnaires. Since the Zone is so prominent, the researcher will select 5 towns Nagele, Adola, Shakiso, Bore, and Haro Wachu. A total of 382 respondents was selected as the sample size. The sample size will be set using Yamane (1967) due to its ease of use, taking into account the estimated total population of 2,322 owners, employment opportunity creators, and competence office executives in 5 towns. The traditional linear regression model was used for the data analysis. In this instance, data analysis included using chi square, correlation, and ordinal logistic regression to examine the impact of entrepreneurial talent and motivation on business success, with strategic leadership as a mediating factor. The findings showed that every element had a favorable and noteworthy effect on company performance.
A literature review on remote sensing scene categorization based on convolutional neural networks

ABSTRACT Remote sensing scene categorization (RSSC) is a long-standing, vital, and complex issue in computer vision. It seeks to classify a scene into one of the predetermined scene groups by analysing the entire image. The rise of large-scale datasets and the resurgence of deep learning-based methods, which directly learn potent feature representations from large amounts of raw data, have led to a lot of progress in representing and classifying RS scenes. Convolutional neural networks (CNN) are among the varieties of deep neural networks that have been the subject of the most research. Taking advantage of the swift increase in the amount of labelled samples and the major enhancements in the strength of processing units, CNNs research has advanced swiftly, producing state-of-the-art results on a number of applications. In this overview, we present a comprehensive evaluation of earlier published surveys and recent CNN-based approaches for RSSC. This study covers more than 100 significant works on scene categorization, including problems, benchmark datasets, and qualitative performance evaluation. In view of the results so far, this study concludes with a list of intriguing research opportunities.
Differential amplitude/phase space-time modulation

In this thesis, a differential amplitude/phase space-time modulation (DAPSTM) is proposed for multiple transmit antenna wireless systems over flat Rayleigh fading channels. Two conventional noncoherent detection schemes, namely, simply heuristic (SH) differential detection (DD) and maximum likelihood (ML) DD are presented. Furthermore, two improved noncoherent detection schemes, multiple-symbol detection (MSD) and decisionfeedback DD (DF-DD) with lower decoding complexity are derived. By taking the dependencies among the received symbols into account, MSD and D F D D can reduce the error floor of M L D D . The pairwise error probability (PEP) based on SH-DD, and an approximation of the bit error rate (BER) based on the union bound, are derived. Analytical considerations agree well with the simulation results. Compared with the known differential unitary space-time modulation (DUSTM), D A P S T M can be said to generalize the diagonal structure from phase signals to a combination of phase signals and amplitude signals. This generalization potentially allows the spectral efficiency to be increased by carrying information, not only in phases, but also in amplitudes. D A P S T M is not as power efficient as space-time codes with differential amplitude/phase shift keying (STC-DAPSK), which is based on Alamouti's orthogonal space-time code (OSTC), when two transmit antennas are employed. However, D A P S T M allows easy implementation at the transmitter, due to the group property of its constellation under matrix
Imputation of Categorical Missing Data: A comparison of Multivariate Normal and Multinomial Methods

Procedures for the imputation of missing data have been developed for continuous data, using Markov Chain Monte Carlo techniques. This approach has been demonstrated to provide acceptable results for dichotomous data when other variables in the dataset are continuous, rather than categorical, and the resulting imputations are not rounded off so as to fit the scale of the original data. This approach has not been thoroughly studied for situations in which all variables in the dataset are categorical. A categorical analog to the standard multiple imputation method does exist, but it must typically be used with a very small set of variables due to estimation problems. Thus, if multiple imputation methods for continuous data can be demonstrated to perform acceptably for situations in which all variables are categorical, they may provide a useful alternative for many research situations. The current study used a simulation to compare the performance of the continuous and categorical methods for data imputation. The mixed results suggest that in some situations the continuous method may be appropriate for an all categorical variable scenario, while in other cases it did not perform as well as the categorical imputation approach.
Theoretical predictions and experimental results for transverse modes in SAW cavities

This paper presents experimental and theoretical results for the lowest two mode separation in transversely coupled resonators. The theory is based on the stacked matrix approach which allows analysis of an arbitrary number of coupled waveguides. A family of curves of mode separation versus normalized aluminum film thickness is generated for various beam widths and waveguide coupling regions. Analysis includes the material velocity anisotropy and aluminum film layer velocity effects. The results of the theoretical analysis show the effects of the predicted mode separation when including the isotropic and anisotropic velocity effect on quartz for various device parameters. The mode separation family of curves are then compared versus measured transverse coupled resonator data for various device configurations. The experimental and theoretical predictions show good agreement. Results of these curves demonstrate that there are optimum values of aluminum film thickness for a given set of device parameters chosen and examples will be presented.