Miracle-dz/UniFAR-FTUs huggingface dataset:
Dampak Pandemi Covid-19 Terhadap Stabilitas Profit Efficiency Perbankan Syariah Indonesia

This research aims to investigate the impact of the COVID-19 pandemic on the stability of profit efficiency in Indonesian Islamic banking. The analysis used is quantitative by using Stochastic Frontier Analysis (SFA) as a method for estimating the profit efficiency of Islamic Commercial Banks (BUS) and Sharia Business Units (UUS) before and during the COVID-19 pandemic. The data used is secondary data for BUS and UUS in the period January 2018 to August 2021. From this research it was found that the overall phenomenon of Indonesian Islamic banking has a higher level of profit efficiency during the COVID-19 pandemic than before the pandemic. Partially, UUS has a higher level of profit efficiency than BUS before and during the COVID-19 pandemic. In terms of stability, it also shows the same phenomenon, UUS has higher stability than BUS in generating profits both before and during the COVID-19 pandemic. In this study, it was also found that Total deposit and Non-Performing Financing act as significant determinant factors for the stability of profit efficiency of BUS and UUS. The results of this study further strengthen the existence of Indonesian Islamic banking in the future in facing times of economic and financial crisis
A Coverage-Guided Fuzzing Framework for Trusted Execution Environments

With the rapid development of the Internet, data security faces new challenges. As the interface between hardware and user-level applications, operating system is a critical component to ensure the security of sensitive data. Trusted execution environment (TEE) is a special operating system aiming at preventing the illegal access and tampering of sensitive data. Thus, the security of trusted operating system is essential for the whole system. Fuzzing is a promising technique that is widely used to identify vulnerabilities in operating systems and applications. In this paper, we present the design and implementation of a coverage-guided fuzzing framework for trusted operating systems. Specifically, we build a system that can perform fuzz testing for OP-TEE, a widespread TrustZone operating system. To improve efficiency, our systems contains several purpose-build components, which include seed generation and test case mutation to achieve higher coverage, coverage collection, and automatic bug-reproducing. With extensive evaluation, we trigger 38 crashes in OP-TEE. In terms of performance, the average execution speed of our system is 79.4 test cases per second. In summary, we show that fuzzing is a feasible and effective approach to testing trusted operating systems.
Optimization Model for Collaborative Overhaul Workshop Scheduling Problem of Multiple EMUs

China's high-speed railway construction is making remarkable achievements. The increasing EMUs are approaching the overhaul cycle, which has brought great pressure to the existing 7 overhaul bases. With the increasing expansion of high-speed rail network, it is of significance to reasonably arrange the maintenance plan of EMU overhaul base under the joint scheduling mode between multiple EMUs. Aiming at improving the maintenance throughput and the utilization rate of key equipment, the current overhaul bases are adopting the parallel maintenance mode of multiple EMUs. To optimize the repair process of multiple parallel mode, this paper constructed an optimization model with the goal of minimizing the invalid maintenance fragment time of key equipment, under the dual constraints of the BOM of EMU parts to be repaired and the topology of maintenance process. In view of the nonlinearity of the model, the topology diagram of cooperative advanced repair of multiple EMUs was constructed, and then the max-min ant colony algorithm was designed to optimize the model, so as to obtain the optimal solution of the model. The model and algorithms were validated by an actual problem of the overhaul (Level 3) process of multiple EMUs.
ANALYSIS OF THE PERFORMANCE OF AN UWB-BASED COOPERATIVE POSITIONING FOR DIFFERENT CAR PLATOON CONFIGURATIONS

Abstract. The increasing interest in autonomous vehicles motivates the researches aiming at developing reliable positioning system also in conditions challenging for the Global Navigation Satellite Systems (GNSS), such as in urban canyons, tunnels, under quite dense vegetation. The uso of Ultra Wide-Band (UWB) systems is among the quite well known methods for providing reasonable positioning results without exploiting GNSS. UWB systems are typically used indoors, however their use can be of interest also outdoors, in particular when the need is to ensure good positioning results over a quite small area. This paper investigates the use of UWB systems for positioning in the case of terrestrial vehicles, and, more specifically, it focuses on checking the influence of car platoon configurations on the performance of an UWB cooperative positioning system. In the considered tests, where a high percentage of UWB communications was successful, the obtained results show that the car configuration can have a quite remarkable impact on the positioning performance, doubling the obtained median error.
Decentralized Circulating Current Attenuation With Model Predictive Control for Distributed/Shunted Single/Three-Phase Grid-Tied Inverters

This letter proposed a decentralized control method to attenuate the circulating current among the grid-connected inverters without extra cost on the communication. Based on the combination of cascaded model predictive control (MPC) and modified $LCL$ filter topologies, the developed method can locally limit the circulating current for different types of inverters, e.g., single/three-phase grid-connection, and various applications, e.g., shunted or distributed inverters with/without common dc bus, respectively. The merits of the proposed method include the following. 1) Decentralized circulating current control without the need of a central controller or the corresponding communication to collect the sampling and calculate the common mode components for leakage current attenuation among different inverters. 2) Generalized control method that can be applied to single/three-phase inverters for both shunted and distributed inverters with/without common dc bus applications. 3) No synchronization is needed for pulsewidth modulation signals among different inverters to attenuate the circulating current. 4) Cascaded MPC without the need of individual inverter’s grid side uncertain filter parameters for the attenuation of circulating current and system parametric modeling. 5) Better transient performance with the inner loop MPC. The experimental results verified the proposed method.
Suitability of Marine- and Porcine-Derived Collagen Type I Hydrogels for Bioprinting and Tissue Engineering Scaffolds

Collagens from a wide array of animals have been explored for use in tissue engineering in an effort to replicate the native extracellular environment of the body. Marine-derived biomaterials offer promise over their conventional mammalian counterparts due to lower risk of disease transfer as well as being compatible with more religious and ethical groups within society. Here, collagen type I derived from a marine source (Macruronus novaezelandiae, Blue Grenadier) is compared with the more established porcine collagen type I and its potential in tissue engineering examined. Both collagens were methacrylated, to allow for UV crosslinking during extrusion 3D printing. The materials were shown to be highly cytocompatible with L929 fibroblasts. The mechanical properties of the marine-derived collagen were generally lower than those of the porcine-derived collagen; however, the Young’s modulus for both collagens was shown to be tunable over a wide range. The marine-derived collagen was seen to be a potential biomaterial in tissue engineering; however, this may be limited due to its lower thermal stability at which point it degrades to gelatin.
$PSeer$: Performance Prediction for Partially Co-located Distributed Deep Learning

This paper studies the problem of predicting the deep learning (DL) jobs' training time which is the fundamental guide for training resources allocating and job scheduling. The existing prediction approaches, however, are greatly challenged for distributed deep learning (DDL) jobs due to the partial interference, namely, the resource contention that only occurs at partial time or locations of a job. We observe that the maximum difference in training time under different combinations of partial interference DDL can reach 2.2×. Thus partial interference is not a negligible factor for predicting the training time of DDL jobs. In this paper, we present PSeer, a partial interference-aware training time predictor for DDL workloads. It adopts a combined dual-submodel (the step number submodel and the step speed submodel), which is highly accurate in predicting by encoding the spatially and temporally varied partial interference into the model design. It is also lightweight: the step number submodel only requires the initial training loss value, and the step speed submodel can be constructed using the CPU and GPU resource utilization information of a few pre-trained steps. Empirical evaluation shows the prediction error generated by PSeer could achieve as low as 3.93% when employing RFR in the training speed submodel, and the prediction overhead is < 1ms.
Quad-Port UWB MIMO Footwear Antenna for Wearable Applications

A four-port single radiator Ultra-Wideband (UWB) Multiple Input Multiple Output (MIMO) footwear antenna for wearable applications is presented. The antenna is printed on the flexible polyethylene foam, which can be easily integrated into the footwear. The Antenna Element (AE) consists of a circular patch that offers better impedance matching over the UWB range without the use of a feeding line. The four AEs are arranged across the four edges of common square-shaped ground to design the MIMO antenna. The presented antenna is analyzed in both flat and bent states. The antenna offers a bandwidth of 12 GHz (2-14 GHz) and isolation >15 dB in the flat state and >20 dB in the bent state. For Specific Absorption Rate (SAR) analysis, the antenna is simulated for 1 g of tissue over a foot phantom, and it is found to be less than 1.6 W/Kg at different frequencies within the UWB frequency range.
The Dark Web of Machiavellianism and Psychopathy: Moral Disengagement in IT Organizations

In the current paper, we were interested in examining a series of predictors of organizational moral disengagement, namely Machiavellianism and psychopathy, along with a series of demographic variables (i.e., gender, age, and work experience). Our sample consisted of 114 IT employees aged 21 to 54 (M = 28.51, 62% males). We used a cross-sectional approach and an original scale to measure organizational moral disengagement. The hierarchical regression analysis suggested that the most important predictor of organizational moral disengagement was Machiavellianism, followed by gender (i.e., males). A significant, negative association emerged between organizational moral disengagement and age, suggesting that the older we grow, the lower the organizational moral disengagement. Machiavellianism and psychopathy were significantly associated with all moral disengagement mechanisms, except one - diffusion of responsibility. The most powerful association we found were between Machiavellianism and moral justification and between psychopathy and euphemistic language. Theoretical and practical implications are discussed.
Stationary Distribution and Extinction of a Stochastic Brucellosis Model with Standard Incidence

In this paper, we proposed a stochastic SVEI brucellosis model with stage structure by introducing the effect of environmental white noise on transmission dynamics of brucellosis. By Has'minskii theory and constructing suitable Lyapunov functions, we established sufficient conditions on the existence of ergodic stationary distribution for the considered model. Moreover, we also established sufficient condition for extinction of the disease. Finally, two examples with numerical simulations are given to illustrate the main results of this paper.
Automated Detection of Greenhouse Structures Using Cascade Mask R-CNN

Automated detection of the content of images remains a challenging problem in artificial intelligence. Hence, continuous manual monitoring of restricted development zones is critical to maintaining territorial integrity and national security. In this regard, local governments of the Republic of Korea conduct four periodic inspections per year to preserve national territories from illegal encroachments and unauthorized developments in restricted zones. The considerable expense makes responding to illegal developments difficult for local governments. To address this challenge, we propose a deep-learning-based Cascade Mask region-based convolutional neural network (R-CNN) algorithm designed to perform automated detection of greenhouses in aerial photographs for efficient and continuous monitoring of restricted development zones in the Republic of Korea. Our proposed model is regional-based because it was optimized for the Republic of Korea via transfer learning and hyperparameter tuning, which improved the efficiency of the automated detection of greenhouse facilities. The experimental results demonstrated that the mAP value of the proposed Cascade Mask R-CNN model was 83.6, which was 12.83 higher than baseline mask R-CNN, and 0.9 higher than Mask R-CNN with hyperparameter tuning and transfer learning considered. Similarly, the F1-score of the proposed Cascade Mask R-CNN model was 62.07, which outperformed those of the baseline mask R-CNN and the Mask R-CNN with hyperparameter tuning and transfer learning considered (i.e., the F1-score 52.33 and 59.13, respectively). The proposed improved Cascade Mask R-CNN model is expected to facilitate efficient and continuous monitoring of restricted development zones through routine screening procedures. Moreover, this work provides a baseline for developing an integrated management system for national-scale land-use planning and development infrastructure by synergizing geographical information systems, remote sensing, and deep learning models.
UNCERTAINTY MODELING FOR POINT CLOUD-BASED AUTOMATIC INDOOR SCENE RECONSTRUCTION BY STRICT ERROR PROPAGATION ANALYSIS

Abstract. Accurate digital representation of indoor facilities is a key component for the generation of building twins. 3D indoor scenes are often reconstructed from 3D point clouds obtained by various measurement techniques, which usually show different accuracy characteristics. During the reconstruction process, the uncertainties of data and intermediate products propagate into the accuracy of the vectorized model. Although point clouds-based 3D building modeling has been a hot topic of research for at least two decades, a thorough analysis of error propagation for this problem from a geodetic point of view is still underrepresented. In this contribution, we propose an analytical approach to estimate the uncertainty of 3D modeling results using the analytic approach based on first-order Taylor-series expansion. A general model for the input data is established and the uncertainty expressions of all computed products are symbolically derived. We estimate the uncertainty of 3D data fitting, followed by the derivation of vectorized building parameters and their covariance matrices. The results of the theoretical approaches are tested on real data presenting an indoor scene. The practical example is illustrated, thoroughly analysed, and quantified.
The role of in-situ nano-TiB2 particles in improving the printability of noncastable 2024Al alloy

In-situ pre-decorated different content of TiB2 particle reinforced 2024 Al matrix composites (xTiB2/2024Al composite, x = 0, 1, 2, 4, 6, 8 wt.%) were printed by laser powder bed fusion (LPBF). A quantitative equation was established to quantify heterogeneous nucleating potency by TiB2 nanoparticles on the grain size of the LPBFed samples. Optimized mechanical properties were obtained in the as-printed 4TiB2/2024Al alloy which proved the feasibility of replacing the wrought part with the LPBFed one. This manuscript provides a method to determine the optimized content of TiB2 nanoparticles to change the noncastable material to the printable one. GRAPHICAL ABSTRACT IMPACT STATEMENT This manuscript provides a method to determine the optimized TiB2 content to change the noncastable material to the printable one, and can potentially guide the introduction of many other nanoparticles.
A comparison of driver sleepiness in the simulator and on the real road

ABSTRACT For safety reasons as well as for experimental control, driver sleepiness experiments are often run in simulators. The aim of this study is to compare the development of driver sleepiness in an advanced driving simulator experiment with real road driving. Sixteen drivers participated in the experiment, which included daytime and night-time driving on a real motorway and in an advanced driving simulator. The results showed that there were significantly higher levels of Karolinska Sleepiness Scale (KSS) ratings, longer blink durations, lower percentage of gazes directed toward the road center (PRC), and higher speed, in the simulator compared to the real road. The pattern of change with task progression was consistent between simulator driving and real road driving for all investigated variables, that is, speed, KSS, line crossings, blink duration, and PRC. However, the relative differences were higher during daytime compared to night-time driving. Results from a questionnaire showed that it was more boring and more demanding to stay alert in the simulator. In conclusion, the development of sleepiness over time is similar in the simulator as compared to the real road, though the absolute sleepiness level is higher in the simulator.
Colorimetric detection for paper-based biosensing applications

Research on affordable point-of-care health diagnostics is rapidly advancing1. Colorimetric biosensor applications are typically qualitative, but recently the focus has been shifted to quantitative measurements2,3. Although numerous qualitative point-of-care (POC) health diagnostic devices are available, the challenge exists of developing a quantitative colorimetric array reader system that complies with the ASSURED (Affordable, Sensitive, Specific, User-friendly, Rapid and Robust, Equipment-free, Deliverable to end-users) principles of the World Health Organization4. This paper presents a battery powered 8-bit tonal resolution colorimetric sensor circuit for paper microfluidic assays using low cost photo-detection circuitry and a low-power LED light source. A colorimetric 3×3-pixel array reader was developed for rural environments where resources and personnel are limited. The device sports an ultralow-power E-ink paper display. The colorimetric device includes integrated GPS functionality and EEPROM memory to log measurements with geo-tags for possible analysis of regional trends. The device competes with colour intensity measurement techniques using smartphone cameras, but proves to be a cheaper solution, compensating for the typical performance variations between cameras of different brands of smartphones. Inexpensive methods for quantifying bacterial assays have been shown using desktop scanners, which are not portable, and cameras, which suffer severely from changes in ambient light in different environments. Promising colorimetric detection results have been demonstrated using devices such as video cameras5, digital colour analysers6, flatbed scanners7 or custom portable readers8. The major drawback of most of these methods is the need for specialized instrumentation and for image analysis on a computer.
Association Between Sleep Duration and Albuminuria in Patients with Type 2 Diabetes: A Cross-Sectional Study in Ningbo, China

Purpose Type 2 diabetes mellitus (T2DM) can lead to microvascular complications including diabetic kidney disease. Albuminuria is an important marker to diagnose kidney injury in T2DM patients and healthy sleep duration is important for maintaining good health in patients with T2DM. However, the association between sleep duration and albuminuria in T2DM patients is unclear. Thus, this study aimed to investigate the association between sleep duration and albuminuria in patients with T2DM in Ningbo, China. Methods A cross-sectional study was conducted at National Metabolic Management Centre (MMC) - Ningbo First Hospital from March 2018 to February 2021. Adult patients with T2DM were included in the study. The sleep duration (daytime and nocturnal) was self-reported. Albuminuria was defined as the presence of urinary albumin-creatinine ratio ≥30 mg/g. Logistic regression analyses were performed to identify the association. Results There were 2688 T2DM patients in the study. In the unadjusted model (1), the odds of albuminuria increased with the daytime sleep duration (31–60 minutes: OR 1.36, 95% CI 1.09–1.71; ≥61 minutes: 1.73, 1.33–2.24). Similarly, after adjusting for age and sex (model 2), the odds of albuminuria increased with the daytime sleep duration (31–60 minutes: 1.34, 1.07–1.68; ≥61 minutes: 1.69, 1.30–2.20). After adjusting for age, sex, physical activity, smoking, alcohol drinking, overweight/obesity, hypertension, hyperuricaemia, duration of T2DM, glycated haemoglobin, angiotensin-converting enzyme inhibitors/angiotensin receptor blocker usage and nocturnal sleep duration (model 3), the odds of albuminuria increased with the daytime sleep duration (31–60 minutes: 1.33, 1.04–1.71; ≥61 minutes: 1.71, 1.29–2.26). However, no relationship was found between nocturnal sleep duration and albuminuria. Conclusion Longer daytime sleep is found to be associated with albuminuria in patients with T2DM in Ningbo, China but no association is found between nocturnal sleep duration and albuminuria. The findings are exploratory, and there is a need for longitudinal studies on this topic.
In Vivo Models for Hypertrophic Scars—A Systematic Review

Backgroundand Objectives: Hypertrophic scars following surgeries or burns present a serious concern for many patients because these scars not only lead to an aesthetical but also to a functional and psychological burden. Treatment of hypertrophic scars is challenging because despite various treatment options, a low level of evidence hinders preference of any specific treatment plan. To properly identify new therapeutic approaches, the use of in vivo models remains indispensable. A gold standard for hypertrophic scars has not been established to date. This review aims at giving a comprehensive overview of the available in vivo models. Materials and Methods: PubMed and CINAHL were queried for currently existing models. Results: Models with mice, rats, rabbits, pigs, guinea pigs and dogs are used in hypertrophic scar research. Rodent models provide the advantage of ready availability and low costs, but the number of scars per animal is limited due to their relatively small body surface, leading to a high number of test animals which should be avoided according to the 3Rs. Multiple scars per animal can be created in the guinea pig and rabbit ear model; but like other rodent models, these models exhibit low transferability to human conditions. Pig models show a good transferability, but are cost-intensive and require adequate housing facilities. Further, it is not clear if a currently available pig model can deliver clinical and histological features of human hypertrophic scars concurrently. Conclusions: None of the analyzed animal models can be clearly recommended as a standard model in hypertrophic scar research because the particular research question must be considered to elect a suitable model.