Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluasi Sistem Informasi Manajemen Rumah Sakit Dengan Metode Technology Acceptance Model (TAM) di Rumah Sakit X

Hospital has implemented hospital information management system (HIMS) since 2016. one of the factors that currently plays an important role in the successful application and use of information technology is the user factor. The level of readiness of users to receive information technology has a major influence in determining the success and failure of the application of the technology. The purpose of this research is to evaluate user perception of SIMRS based on dimension Technology Acceptance Model (perceived ease of use, perceived usefulness, attitude toward using, behavioral intention, actual usage). The method of this research is quantitative descriptive research. The object of this research is SIMRS user in all unit of hospital and research subjects are all SIMRS users. The results showed that the percentage of group calculation from PEOU 0.602 dimension (60.2%), PU 0.595 (59.5%) and ATU 0.594 (59.4%) were moderate category, dimensions of BI 0.777 (77.7%) and AU 0.694 (69.4%) are in good category. It states that the user perception of SIMRS has been running well and needs to be maintained, but there are still some shortcomings that need to socialize the officers who are less supportive of the SIMRS that is the need for motivation and assistance to users who have difficulty. Because remembering one of the benefits of SIMRS the SIM will accelerate and improve the accuracy of the transaction because everything is recorded and communicated between various units.
Unsupervised Time Series Classification for Climate Data

Outstanding success of Convolutional Neural Net- work image classification in the last few years in- fluenced application of this technique to a vari- ety of embeddable entities. CNN image classifica- tion methods are getting high accuracies but they are based on supervised machine learning that re- quires labeling of input data and do not help to understand unknown data. In this study we in- troduce unsupervised machine learning model that categorizes entity pairs to classes of similar and non similar pairs by converting pairs of entities to mirror vectors, transforming mirror vectors to Gramian Angular Fields (GAF) images and clas- sifying images using CNN transfer learning classi- fication. Based on climate data we demonstrated several scenarios that show when this model is re- liable for time series pair classification.
Nano-mechanics of Optical Structures for High Laser-Damage Threshold Applications

This dissertation focuses on the use of scanning electron microscopy (SEM), nano-indentation and finite-element analysis (FEA) to observe, measure and validate the nano-mechanical properties (elastic modulus, hardness, yield stress, deformation, fracture) of nm-level features in important optical microand nano-structures. The optical microand nano-structures include single layer oxide films, multilayers comprised of oxide layers, and optical diffraction gratings. In addition to the nano-mechanical properties, we also study deformation in brittle silica walls that comprise the grating by suppressing fracture as well as on the nano-mechanics of defects in optical structures. We use this understanding of nano-mechanics in diffraction gratings to show that it naturally complements optical testing (laser-induced damage threshold tests), and mechanical fields (for example, deformation fracture strain) expose the same regions of the grating structure in a manner analogous to optical fields (for example, electric fields). A major conclusion is that deformation can be entirely separated from fracture in patterned surfaces. This result is in distinct contrast to bulk surfaces where fracture is always preceded
An Formation Algorithm of the Synthetic Aperture in an Automotive Radar with Use of the MUSIC Algorithm

This paper proposes an implementation of MUSIC algorithm in order to increase a range resolution after processing of synthetic aperture radar (SAR) image. SAR system operates in small ranges and uses a frequency modulated continuous wave (FMCW) in radars, ofiers a low- cost, low power, small earth observation system that can be placed on difierent types of mobile platforms. SAR operates in the side looking mode. Modifled wavenumber domain algorithm (WDA) is used. WDA gives a clear sinc function on both coordinates of image. Post-processing is performed in cut-out piece of focused image after WDA. Simulation conditions are reached at the expense of available equipment intended for experimental veriflcation.
State estimation in roll dynamics for commercial vehicles

ABSTRACT Accurate lateral load transfer estimation plays an important role in improving the performance of the active rollover prevention system equipped in commercial vehicles. This estimation depends on the accurate prediction of roll angles for both the sprung and the unsprung subsystems. This paper proposes a novel computational method for roll-angle estimation in commercial vehicles employing sensors which are already used in a vehicle dynamic control system without additional expensive measurement units. The estimation strategy integrates two blocks. The first block contains a sliding-mode observer which is responsible for calculating the lateral tyre forces, while in the second block, the Kalman filter estimates the roll angles of the sprung mass and those of axles in the truck. The validation is conducted through MATLAB/TruckSim co-simulation. Based on the comparison between the estimated results and the simulation results from TruckSim, it can be concluded that the proposed estimation method has a promising tracking performance with low computational cost and high convergence speed. This approach enables a low-cost solution for the rollover prevention in commercial vehicles.
Design of novel compact dual‐band filtering power divider using stepped‐impedance resonators with high selectivity

A novel compact dual‐band power divider with filtering responses is presented in this article. The proposed circuit utilizes coupled quarter‐wavelength stepped‐impedance resonators. By controlling these resonators, dual‐band operation can be realized. Furthermore, a resistor is connected between the two open ends of the input feed line to obtain good isolation at two bands. Source load coupling is utilized to enhance the selectivity. To verify the proposed idea, a filtering power divider with the operating frequencies of 2.4 and 5.8 GHz is implemented. Good agreement between the simulated and measured results validates the proposed idea. The total size of the circuit is 0. 23λg × 0. 28λg, where λg is the guide wavelength of 2.4 GHz. © 2016 Wiley Periodicals, Inc. Int J RF and Microwave CAE 26:262–267, 2016.
Prevalence and Trends in Antimicrobial Susceptibility Patterns of Multi-Drug-Resistance Non-Typhoidal Salmonella in Central Thailand, 2012–2019

Purpose Multi-drug resistance of non-typhoidal Salmonella (MDR-NTS) is an increasing threat worldwide. In Thailand, data for the past decade is limited. This research is to determine the prevalence and trends of nonsusceptibility patterns of the bacteria, especially to ciprofloxacin and ceftriaxone. Methods This retrospective study was extracted data of patients who had non-typhoidal Salmonella (NTS) infection, from 10 hospitals between June 2011 and June 2020. Demographic data, culture reports, and antimicrobial susceptibility were included in the analysis. Results A total of 433 patients were identified. The most common age group was less than 15 years old (53.6%), with a median age of 12 years (IQR 57–4). Of these people, 61.1% had gastroenteritis and 36.7% had bacteremia. The most prevalent serogroups was C (28.6%). MDR-NTS rate was 52.8% (95% CI 39–44). The resistant rates were 43%, 32.8%, 22.8%, 6.7%, 4%, 0.45%, 0.45% for sulfamethoxazole/trimethoprim, amoxicillin-clavulanic acid, cefotaxime, ampicillin/sulbactam, piperacillin/tazobactam, imipenem and meropenem retrospectively. Resistant rates have been increasing, especially for ciprofloxacin (30%), which rose from 16.6% in 2011–2015 to 39.5% in 2016–2020 (prevalence rate ratio (PRR) 2.4,95% CI 1.51–3.72) and for ceftriaxone 25.4% which rose from 16.1% to 32% (PRR 2 95% CI 1.24–3.16). Ampicillin, norfloxacin, tetracycline, amikacin, gentamicin, and ceftazidime remained static at 62.3%, 49.5%, 33.2%, 15.2%, 8.8%, 2.8%, respectively. Conclusion The prevalence of MDR-NTS has been increasing over the past decade, particularly those strains which demonstrate resistance to ciprofloxacin and ceftriaxone. Finding successful treatment requires a comprehensive selection of proper antimicrobials as well as close monitoring, especially in cases with severe infection.
Deep Reinforcement Learning for Autonomous Map-less Navigation of a Flying Robot

Flying robots are expected to be used in many tasks, like aerial delivery, inspection inside dangerous areas, and rescue. However, their deployment in unstructured and highly dynamic environments has been limited. This paper proposes a novel approach for enabling a Micro Aerial Vehicle (MAV) system equipped with a laser rangefinder and depth sensor to autonomously navigate and explore an unknown indoor or outdoor environment. We built a modular Deep-Q-Network architecture to fuse information from multiple sensors mounted onboard the vehicle. The developed algorithm can perform collision-free flight in the real world while trained entirely on a 3D simulator. Our method does not require prior expert demonstration or 3D mapping and path planning. It transforms the fused sensory data to a velocity control input for the robot through an end-to-end Convolutional Neural Network (CNN). The obtained policy was compared in simulation with the conventional potential field method. Our approach attains zero-shot transfer from simulation to real-world environments that were never experienced during training by simulating realistic sensor data. Several intensive experiments were conducted to show our system’s effectiveness in flying safely in dynamic outdoor and indoor environments. The supplementary videos for the actual flight tests can be accessed at the following link : http://bit.ly/ 2SEw8dQ.
Depth-Wise Split Unit Coding Order for Video Compression

In this paper, we propose a depth-wise flexible block processing method called split unit coding order (SUCO) for video coding. Conventionally, block-based image and video compression frameworks always apply raster scans to process blocks in order from left to right. Owing to the fixed coding order, the available information for prediction in the coding blocks is limited to adjacent blocks on the left and top. To address the limitations of block-based images and video compression frameworks, the proposed SUCO provides more flexibility in handling coding block sequences than predicted on the left and top, and thus coding blocks can take advantage of adjacent right information, such as reconstructed pixels and motion information. The flexibility is achieved by depth-wise signaling of preferred coding order for the given partitions. The experiment results demonstrate that the proposed SUCO can effectively improve the coding efficiency of both intra and inter prediction in the latest video coding standards.
Book review: Multimodal Approaches to Chinese-English Translation and Interpreting

the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). https://doi.org/10.1177/27523810221077757 Interpreting and Society: An Interdisciplinary Journal March 2022, Vol. 2(1) 104 –107 © The Author(s) 2022 Article reuse guidelines: sagepub.com/journals-permissions DOI: 10.1177/2752381022 07775 journals.sagepub.com/home/isy INTERPRETING AND SOCIETY
Adsorption performance and its mechanism of aqueous As(III) on polyporous calcined oyster shell‐supported Fe–Mn binary oxide

Fe–Mn binary oxide (FMBO) is a promising adsorbent for As(III) removal through combined adsorption and oxidation. The calcined oyster shell‐supported Fe–Mn binary oxide (FMBO/OS) adsorbent was synthesized by the co‐precipitation method. Results indicated that the calcined oyster shell, as a carrier, improved the stability of FMBO and its adsorption capacity for As(III). The maximum adsorption capacity of FMBO/OS on As(III) reached 140.5 mg·g−1. Under pH 5.0 and 25°C, the removal efficiency of FMBO/OS to As(III) solution (C0 = 10 mg·L−1) reached 87% within 12 h. Moreover, based on the characterization analyses, the removal mechanisms of As(III) were deduced to include the combined adsorption and oxidation process of FMBO and the synergistic effect of oyster shells. This work provides new insights into synthesizing efficient and green adsorbents to remove aqueous As(III). Meanwhile, it provides technical support for reusing waste biomass materials such as the oyster shell.
Waveform Control Pulse Magnetization of GdBaCuO Bulk Near Operating Temperature of Our Superconducting Rotating Machine

We have tested our waveform control pulse magnetization with negative feedback (WCPM-NFB) method on a GdBa2C3O7-δ (GdBaCuO) high temperature superconducting (HTS) bulk sample, near operating temperatures of superconducting machines. This advanced single pulse field magnetization (PFM) method was demonstrated to significantly increase the trapped magnetic flux density in the center of the bulk compared to more conventional PFM techniques. The WCPM-NFB method has been further enhanced by modifying the control of the applied pulsed magnetic field. The aim was to adapt the control method to make use of the flux jump in a more efficient way while limiting the heat generation in the bulk. The target magnetic flux density of the PID controller was changed during the pulsed magnetization, allowing the applied magnetic field to be adapted consequently to the change of condition inside the bulk due to the flux jump. A magnetic flux density of about 3 T has been trapped at 50 K in a single pulse using our improved WCPM-NFB method.
Ground Motion Intensity Measures to Evaluate II: The Performance of Shallow-Founded Structures on Liquefiable Ground

A reliable mitigation of the liquefaction hazard requires an accurate estimation of the consequences of liquefaction in the context of building performance. Knowledge and use of an optimal intensity measure (IM) will reduce variability and improve accuracy of the predicted measure of performance. This paper presents the results of a three-dimensional, fully coupled, nonlinear, dynamic parametric numerical simulation of shallow-founded structures on layered, liquefiable soils, previously validated with centrifuge results. The generation and redistribution of excess pore pressures as well as soil-structure interaction effects were directly considered in the simulations. The influence of different IMs recorded at the base rock, far-field soil surface, and foundation was evaluated and compared on engineering demand parameters (EDP) that relate to structural performance and damage potential, such as foundation settlement and peak, transient, inter-story drift ratios. The IMs identified with the best combination of efficiency, sufficiency, and predictability in predicting the structural EDPs of interest were identified at the base rock as: CAV and CAV5 for permanent settlement, PSA[T STo ] for total and flexural drift ratios, and PGV for rocking drift ratio.
Thermal path integrity monitoring for IGBT power electronics modules

The heat dissipation path in a power module degrades over time due to solder fatigue. Estimating level of that degradation requires accurate measurements of junction temperature in real-time. Temperature sensitive electrical parameters (TSEPs) and model estimates are two techniques to estimate junction temperature but they suffer from large inaccuracies and uncertainties during measurement and model identification process. This paper presents a non-invasive technique which incorporates model estimates with real-time measurements of VCE(ON) to accurately track junction temperature of an IGBT and to monitor the health state of the thermal path in a power module. The technique is built upon the algorithm of Kalman filter which gives optimal estimates of system states in the presence of inaccurate and corrupted measurements. The adaptive property of Kalman filter allows consistent estimate of junction temperature under timevarying conditions of the thermal path due to solder fatigue.
Thumb duplication classifications: Is there still a need for improvement?

Objectives This study aims to compare the usefulness of two systems in classifying thumb duplication cases and give some examples of the cases we believe that are unclassifiable. Patients and methods Between January 2011 and January 2018, a total of 50 patients (29 males, 21 females; median age: 46.4±68.3 months; range, 1 to 318 months) with thumb duplications as assessed according to the Wassel and Rotterdam classification systems were included. Results Duplication was present in the right hand in 28, in the left hand in 21, and in both hands in one patient. According to the Wassel classification system, 45 patients could be allocated in any of the types; however, five patients could not be classified. According to the Rotterdam classification, 47 cases fell into one of the classifications; however, three cases could not be classified. Conclusion Despite efforts to find the best classification system for thumb duplications, the proposed systems may not fully cover the presented radial polydactyly cases, and additions to the system are required.
Applications of Accounting Software: An Empirical Study on the Private Universities of Bangladesh

For sound management of an entity the use of accounting information is a must. Once it was possible to maintain only paper works of the transactions when the number of transactions and users of accounting information was limited to the boundary that could be managed manually. But with the passage of time the increase of business scope has forced organizations to shift from manual system of accounting to the modern ways of using software to prepare accounting information. Thus, this paper is an endeavor to identify the extent to which the private universities in Bangladesh are practicing automated accounting process through the applications of software. This paper also attempts to identify the barriers in the applications of accounting software and problems encountered with such applications. A five scale Likert technique has been used to investigate the interviewees’ opinion about the application of accounting software in the respective universities as well as to find the cause of differences between actual and expected level of use of accounting software. The study revealed that almost 80% private universities are now using accounting software. The result of the study shows that 100% of the respondents think maintaining record in accounting software is easier than manual systems, 97.87% of the respondents think chance of error and difficulties in identifying errors is much less in accounting software and 100% of the respondents showed their opinion in favor of accounting software that it is faster to apply. 65.96% of the respondents agreed that reluctance of the top management is the main barrier in the applications of accounting software while other two factors which create obstacles are reluctance of employees and initial cost of installations and training. The study also revealed an alarming fact that some of the universities do not provide any special training on accounting software though they are using such software and almost 36% of the accounts personnel doesn’t have academic background on accounting discipline.
Analytical Techniques and Operational Perspectives for a Spherical Inverted-F Antenna

Analytical Techniques and Operational Perspectives for a Spherical Inverted-F Antenna. (December 2010) David Lee Rolando, B.S., Texas A&M University Chair of Advisory Committee: Dr. Gregory Huff The spherical inverted-F antenna (SIFA) is a relatively new conformal antenna design that consists of a microstrip patch resonator on a spherical ground. The SIFA resembles a planar inverted-F antenna (PIFA) that has been conformally recessed onto a sphere. The basic design, simulation, and fabrication of a SIFA were recently reported. The aim of this thesis is to provide a three-fold improvement to the study of the SIFA: the fabrication of a dielectric-coated SIFA, a new analytical model based on the cavity method, and the analysis of a randomly oriented SIFA’s operation in a remote networking scenario. A key improvement to the basic SIFA design is the addition of a lossy dielectric coating to the outside of the sphere for purposes of impedance stability, bandwidth control, and physical ruggedization. The first contribution of this thesis is the fabrication of such a dielectric-coated SIFA. Two antennas are fabricated: a coated SIFA operating at 400 MHz, and an uncoated SIFA operating at 1 GHz for comparison. Both SIFAs are constructed of foam and copper tape; the coating is comprised of silicone rubber and
Monitoring of masonry historical constructions: 10 years of static monitoring of the world's largest oval dome

This paper presents the analyses conducted on the data acquired by the monitoring system of the “Regina Montis Regalis” Basilica of Vicoforte (Italy) in the decade 2004–2014. The Basilica is a building of great historical, architectural, and structural significance, owing its fame to its impressive masonry oval dome, the world's largest of this shape (internal axes of 37.23 by 24.89 m).
MEASUREMENTS OF UNSTEADY FLOW OF CENTRIFUGAL COMPRESSOR WITH VANED DIFFUSER

In this study, the instability of a centrifugal compressor with vaned diffuser has been investigated. Unsteady pressure fluctuation with the variation of flow rate and impeller rotating speed at diffuser inlet and exit were measured by using high frequency pressure transducers. From the spectrum analysis of measured signal, a transient zone was observed at a certain flow rate where two different frequency peaks coexisted, whereas there was only one dominant frequency component at other flow rates. And the result of Wavelet transform analysis also showed such feature which is distinguished from that of other flow rates. In this zone, the compressor performance was steeply deteriorated, propagation speed of stall cell was rapidly decreased and pressure fluctuation amplitude was quickly increased.
Transparency Analysis of a Passive Heavy Load Comanipulation Arm

For collaborative robotics applications, many systems have addressed general handling issues in recent years. Depending on the industrial context, these systems bring physical and cognitive feelings that result in the acceptance of their users. Transparency qualifies the ability of a robot to follow the movements imposed by the operator without noting any resistant effort. The objective of this article is to develop a methodology that mixes the approach highlighting the human factors and their correlation to robotic criteria in the case of a passive manipulation arm with six degrees of freedom produced by the Neoditech company. An exploratory study was then conducted to measure criteria such as time, speed, and effort during manipulation along with criteria based on a technological level, personality and technology acceptance model-method questionnaires. From there, we uncovered a correlation between the user’s personality, particularly their lack of neuroticism, and their means of evaluating the device through its usefulness, comfort, and indicators of mechanical behavior. This study is a preliminary analysis of user behaviors and traits that affect technological acceptance when dealing with a comanipulation arm. This work offers a framework for similar future analyses and recommends mechanical adjustments to the arm for increased user acceptance.