Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS DETERMINAN LEVERAGE PERUSAHAAN MANUFAKTUR YANGTERDAFTAR DI BURSA EFEK INDONESIA

Penelitian ini bertujuan untuk mengetahui pengaruh Likuiditas, Peluang Pertumbuhan, Profitabilitas dan Ukuran perusahaan terhadap Leverage perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia. Periode yang digunakan dalam penelitian ini adalah selama 3 tahun, mulai dari tahun 2012 sampai dengan tahun 2014. Populasi dalam penelitian ini berjumlah 126 perusahaan manufaktur yang sudah dan masih terdaftar di Bursa Efek Indonesia periode 2012-2014. Teknik pemilihan sampel adalah metode purposive sampling dan diperoleh 40 perusahaan manufaktur yang digunakan sebagai sampel. Teknik analisis data yang digunakan adalah regresi linear beganda. Berdasarkan hasil analisis data, secara parsial Likuiditas dan Profitabilitas berpengaruh negatif dan signifikan terhadap Leverage, Peluang Pertumbuhan tidak berpengaruh terhadap Leverage, Ukuran Perusahaan tidak berpengaruh terhadap Leverage. Berdasarkan uji Anova, diketahui nilai F statistik sebesar 12,093 dengan signifikansi sebesar 0,000. Nilai adjusted R Square sebesar 0,272, hal ini berarti kemampuan variabel independen dalam menjelaskan variasi variabel dependen adalah sebesar 27,2%, sedangkan sisanya dijelaskan oleh variabel lain di luar model penelitian.
Towards Safer Wi-Fi Networks: Leveraging Neural Networks for Intrusion Detection

The heavy reliance on Wi-Fi networks has made them susceptible to various threats, especially given that the security protocols employed have some flaws that were exploited by malicious entities. In this paper, we introduce the first constituting block of our comprehensive Wi-Fi Intrusion Detection and Resource Management System. The primary objective of this system is to filter and classify incoming threats, thereby enabling subsequent decisive actions within the framework’s subsequent modules. Using the AWID dataset and after selecting subset of attacks a neural network has been trained and optimized with 99.5% accuracy, 95.2% precision, 94.0% recall and 94.5% F1 Score.
Improved Microstrip Patch Antenna Design for High Gain and Low Noise

Identifying the driver's sleep deprivation during driving is crucial to prevent fatal accidents. Wireless RF bio signal extractions help a lot in identifying the same more accurately. PCB antenna currently used for the same purpose can be replaced with a more effective antenna for better acquisition of the bio-signals like ECG which reflects the conscious condition of the driver very well. Therefore, in this proposed work, we designed an array of microstrip patch antenna for improved acquisition, especially for ECG with less noise interference. First, a single-element microstrip antenna of 20x20 mm2 and thickness 0.8 mm on FR4-epoxy dielectric substrate at resonant frequency 6 GHz is designed. At the resonant frequency, the return loss or S11 parameter is -21.50 dB and -10 dB below from 5.79 GHz to 6.21 GHz. For the single-element antenna, the maximum gain observed is 9.39 dB. Using the designed single microstrip patch antenna, a 4x4 array antenna is designed and a maximum gain of 20.4 dB is achieved. It gives reduced noise with the reduced number of side lobes which in turn can increase the acquisition performance of the ECG compared with the PCB antenna, which leads to reliable usage in the future. The gain has been improved 3.4 times compared to the gain of the currently used PCB antenna. Thus, a high-performance microstrip patch antenna array is designed for application in the above-stated problem.
Examining The Use of E-Wallet for Streaming Service Subscriptions

Currently, streaming services are popular worldwide, including in Indonesia. Streaming services provide easily accessible entertainment to people. From their favorite music to their favorite shows and films, they are available from their devices like phones, tablets, laptops, PCs, and smart TVs. Furthermore, numerous companies offer these streaming services, offering people various choices. Of course, these companies need to make money to keep their services running and produce original content. One of the ways these companies make money is from the subscription fees that their subscribers pay. There are several payment methods, one of which is using an e-wallet. The study delves into the benefits of e-wallets over alternative payment options for subscribers purchasing subscriptions and why subscribers use an e-wallet to pay for subscriptions over other payment methods. This research involves 145 participants residing primarily in the Jabodetabek area of Indonesia who utilize an e-wallet for payment towards their streaming service subscriptions. The data collection took place in July 2023. This paper uses the purposive sampling method with Smart PLS to find Cronbach's Alpha, Composite Reliability, Average Variance Extracted, and Path Coefficient. There are seven variables and nine hypotheses. Two variables, Usefulness and social influences, do not significantly impact the intention to use.
Bridging the Digital Gap: A Systematic Review on UI/UX Design Considerations for Elderly-friendly Digital Wallets

In an era defined by rapid technological innovation, inclusivity in digital design emerges as a critical yet often overlooked aspect. However, seniors and older citizens often grapple with complex interfaces and sophisticated technology, leading to their digital marginalization. This paper offers a detailed systematic literature review of research trends spanning 2018 - 2023. Sourcing from the renowned SCOPUS database, this review identified a limited 13 journal articles conforming to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. These scholarly publications were thoroughly examined and divided into five core themes encapsulating the focal points of this research: gerontechnology, user experience, user interface design, usability testing, and the advantages mobile apps can offer to the elderly. Further, this synthesized review, aiming to enhance the UI/UX design of digital wallets for seniors, could offer substantial insights to researchers and educators while highlighting potential directions for ensuing research.
The impact of knowledge management on relationship between entrepreneurial orientation and firm performance

Purpose – This study investigates the impact of entrepreneurial orientation (EO) and knowledge management (KM) on firm performance (PERF), as well as the mediating role of KM to the EO-performance relationship. In particular, this study aims to explain the impact of KM on the relationship between EO dimensions and firm performance; dimensions are risk-taking (RT), innovativeness (IN), and proactiveness (PR). Methodology – This study employs Structural Equation Modelling (SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA) methodologies to explore target relationships. The sample consists of 150 small furniture manufacturers operating in Poland (out of 1480 in the population). Findings – The study findings show that KM partially mediates the IN-PERF relationship. Furthermore, fsQCA reveals that KM accompanied by IN is a core condition that leads to PERF. Moreover, the absence of KM (accompanied by the absence of R and IN) leads to the absence of PERF. Additionally, the results show that all the variables examined (R, IN, PR, KM) positively impact PERF. Originality – This study explores the role of KM in the context of EO and its impact on PERF in the low-tech industry. The study uses concurrently two methodologies that represent different approaches in the search for the expected relationships. The findings reveal that KM mediates the EO-PERF relationship.
Evaluating User Interface and User Experience in Mobile Applications Designed for the Elderly

The mobile applications have been widely used nowadays, with a growing number of elderly individuals incorporating them into their daily lives. Despite the widespread adoption of smartphones and their associated applications, elderly users often encounter usability challenges. Existing literature suggested that these challenges could be attributed to age-related factors and their relative unfamiliarity with technology, all of which affect their interaction with mobile applications. This research endeavors to identify key attributes of user interface (UI) and user experience (UX) suitable for individuals aged 60 and above in Brunei Darussalam, addressing their specific limitations, and subjecting the UI to analyze based on established principles. Identification of appropriate UI characteristics was conducted through a combination of desk research and interviews with senior citizens. BruHealth, a mobile application focused on disseminating COVID-19 related information and services in Brunei Darussalam, served as a case study, and User-Centered Design Model was adopted to guide the enhanced design and development of its UI. Subsequently, a usability testing was conducted to assess the UI and UX of the improved design, aligning it with heuristic principles. The results reveal several areas necessitating improvement in the UI and UX of the application to align with age-related impairments.
Mental Workload Classification from fNIRS Signals by Leveraging Machine Learning

Mental workload (MWL) identification is vital to know human cognitive functioning, performance, and well-being. In this work, we develop models for identifying low vs. high MWL using different genres of machine learning classifiers. We used non-invasive functional near-infrared spectroscopy (fNIRS) signals while participants classified the low vs. high levels of MWL tasks. Our analysis shows the low vs. high MWL can be identified best from the whole brain data. The k-nearest neighbors classifier showed the best performance with an accuracy of 98.8%, an area under the curve (AUC) of 98.8%, F1 score, precision, and recall of 98.0% from the whole brain data without overlapping signals. A separate hemisphere analysis using left hemisphere (LH) and right hemisphere (RH) activity showed that the LH activity has better classification ability than the RH activity. We also examined the classification with the top six features that could identify the low vs. high MWL with an accuracy of 97.4%, (AUC) 97.4%, F1 score, precision, and recall of 97.0%. These findings would be useful for developing more intuitive and user-friendly interfaces in the human-computer interface.
General Open-Phase Fault-Tolerant Online Current-Reference Generation for Maximum Torque Range and Minimum Copper Loss With Phase-Current-Peak Limitation for n-Phase PMSMs With Nonsinusoidal Back-EMF

Multiphase permanent-magnet synchronous machines (PMSMs) with nonsinusoidal back-electromotive force (back-EMF) offer high fault tolerance and torque density. Most current-reference generation methods either minimize stator copper loss (SCL) or maximize achievable torque. Optimization of both goals is accomplished by the full-torque-range minimum-loss (FRML) strategies, but so far just for sinusoidal back-EMF. Moreover, many methods are only suitable for healthy conditions or specific machines, harmonics, or open-phase-fault (OPF) scenarios. This paper proposes an online FRML current-reference generation for n-phase PMSMs with nonsinusoidal back-EMF. When the torque reference is feasible without violating the phase-current-peak limit, minimum SCL per torque is attained while maximizing the achievable ripple-free torque value (i.e., FRML). For higher torque references, the instantaneous torque deviation is minimized. This FRML method is suitable for any n, harmonics, and healthy/OPF conditions. Experimental results performed with a six-phase PMSM are provided.
MEC in IoV: A Review of Resource Issues and Solution Methods *

Multi-access Edge Computing (MEC) has received a lot of traction since its introduction by The European Telecommunications Standards Institute (ETSI) promising the integration of the Telecommunications and Information Technology worlds. The Internet of Vehicles (IoV) is an area that could greatly benefit from the implementation of MEC-based solutions. In this paper we first present an overview of the Internet of Vehicles (IoV) and the key technologies that facilitate its implementation. Next, we categorize varied use cases of Multi-access Edge Computing in the Internet of Vehicles. The results of the categorization show that MEC allows the integration of technologies such as Software Defined Networking, Network Functions Virtualization, Service Function Chaining, Blockchain and Machine Learning to improve IoV network topology design, computational capacity and Quality of Service. This review also discusses the implementation of machine learning approaches with respect to network topology, computational capacity and Quality of Service as a new horizon that will breathe new life into the MEC-IoV landscape.
Improved Droop Controller and Small Signal Model for Inverter-Interfaced Standalone Microgrid

This paper provides a comprehensive overview of the design, analysis and operation of inverter-interfaced standalone microgrids. The commonly used droop-based approach for frequency and voltage control is improved by proposing an adaptive droop control that can maintain equal reactive power sharing among the inverters. An improved small signal model is developed to analyze system stability and effect of various control and system parameters on the response of the system. Unstable regions are identified to help in reliable operation of microgrid. The accuracy of the model is verified by comparing the predicted response with the simulated response of the system. The simulation model was built in MATLAB/Simulink.
Attitudes of librarians concerning information technology in government-supported special libraries in Malaysia

The study examined the differences between the levels of the independent variables of educational background and technological experience on attitudes toward education technology. It attempts to investigate the patterns of use of information technology in government supported special libraries and explored the relationship between the librarians attitude and perception and the extent of the application of the technology. A total of 120 librarians from the government of Malaysia were surveyed by mail. Measures were gathered representing background characteristics of library; the library manager; the manager's attitude towards the technological change, and the degree to which the library was utilizing information technology
Dynamic Aggregation Optimization of Multiple Power Sources in Virtual Power Plant Based on Improved Cuckoo Algorithm Considering Conditional Value at Risk

The uncertainty of renewable energy output and market electricity price of virtual power plants, such as wind and solar energy, will lead to certain risks in its income. Reasonable allocation of the capacity of wind, photovoltaic, energy storage and conventional units of virtual power plants can reduce system costs and maximize the interests of investors. With the minimum investment and operation costs as the optimization goal, conditional risk value is used as the indicator of risk measurement, A dynamic aggregation optimization model of multiple power sources in virtual power plants based on risk measurement in portfolio theory is established. On this basis, the influence of risk preference on the planning of multiple power sources aggregation optimization in virtual power plants is discussed, and the improved cuckoo algorithm is used to solve the optimization model. Finally, the correctness of the model is verified by an example simulation. The results show that when the manager of the virtual power plant chooses the appropriate risk preference, the dynamic aggregation model of multiple power sources of the virtual power plant can effectively reduce the risk loss of the virtual power plant and improve the stability of the power supply of the virtual power plant.
Analytical Modeling of a Six-Phase Bearingless Synchronous Reluctance Machine Using Winding Function Theory

This paper presents a modeling framework for bearingless synchronous reluctance machines that are equipped with a six-phase stator winding. The six-phase combined winding can be used to produce both electromagnetic torque and radial forces. Vector-space decomposition (or generalized space-vector transformation) and winding function theory are applied in the presented framework. To exemplify these concepts, a conceptual machine is studied by means of analytical expressions and by finite-element analysis. The presented framework can be used to develop dynamic models for other multiphase bearingless machines as well. Resulting dynamic models can be used in time-domain simulations and in development of real-time control algorithms.
Automation of Characterization with Data Acquisition of Reverse Recovery and Gate Charge for IGBT

Reverse recovery and gate charge are several important behaviors in Insulated-Gate Bipolar Transistor (IGBT) that need to be taken as a consideration in order to produce a high quality IGBT device. The characteristics of reverse recovery are consisting of maximum reverse recovery current(Irrm), reverse recovery time(Trr), reverse recovery charge(Qrr), and reverse recovery energy(Erec) while the characteristics for gate charge consisting of gate- drain charge(Qgd), gate-emitter charge(Qge) and total gate charge(Qgtot). The characterization for all of these test parameters needs to be accurate as it is a company standard to have a device with an acceptable value in the datasheet. Plus, the characterization lab is also required to meet customer request as it serves business purposes. Previously, the lab technician in the Characterization Lab will use the oscilloscope to characterize the Trr and Gate Charge parameter using the scope cursor. This old manual- scope acquisition is time-consuming and prone to human error. Hence, the cost is stretched within the cycle time and direct labor. Additionally, the waveform itself has an unwanted noise. By introducing LabVIEW software as an alternative to human acquisition, it has significantly improved the characterization through automating the process of acquisition. The acquisition process covers multiple aspect including filtering the noise on waveform, finding cursor point on oscilloscope, transferring test parameter results into a formatted Excel and exporting image into a local user drive. The application program written in LabVIEW has shortened the time difference with the manual acquisition by 91%. The correlation results between manual scope acquisition produces percentage of error less than 10%. The safe launch results indicates that the LabVIEW application program produced acceptable results as the results are having the same electrical characteristics with the datasheet of the device. Based on the time taken, correlation and safe launch results, it can be safely said that the LabVIEW migration is a game changer to the semiconductor industry with the Characterization Lab.
A Rare Case of Tibial Tubercle Avulsion Associated with Patella Fracture

: Tibial tubercle avulsion fracture is a rare injury in adolescents; its association with a patella fracture is exceptional. This current case report describes an 10-year-old boy admitted to the department of pediatric orthopaedic surgery for a left knee trauma. X-ray showed a displaced fracture of the tibial tubercle associated with a fracture of the patella, the sciatic nerve, and the fibrous band. We performed a surgical reduction of the tibial fragment with two cancellous screws and tension band wiring of the patellar fragment.
An Efficient Hardware Implementation of Dilated Convolution Using a Novel Channel-Equivalent Decomposition Method

This paper proposes an efficient hardware deployment method for dilated convolution, and designs a novel channel-equivalent decomposition method for dilated convolution to fully utilize the effective data in the dilated convolution, significantly reducing the redundant zero operation requirement in the dilated convolution, greatly reducing memory bandwidth requirements, and improving throughput. The efficient dilated convolution operation unit is implemented on the Xilinx ZCU102 FPGA, with a working frequency of 333MHz. The test results indicate that the performance of running the dilated convolution layer of VGG-SSD is 192GOPS. At a power consumption of 2.1W, the average energy efficiency of the system is 91.4GOPS/W.
Edinburgh Research Explorer Sas3 and Ada2(Gcn5)-dependent histone H3 acetylation is required for transcription elongation at the de-repressed FLO1 gene

The SaccharomycescerevisiaeFLO1 gene encodes a cell wall protein that imparts cell–cell adhesion. FLO1 transcription is regulated via the antagonistic activities of the Tup1–Cyc8 co-repressor and Swi– Snf co-activator complexes. Tup1–Cyc8 represses transcription through the organization of strongly positioned, hypoacetylated nucleosomes across gene promoters. Swi–Snf catalyzes remodeling of these nucleosomes in a mechanism involving histone acetylation that is poorly understood. Here, we show that FLO1de-repression is accompanied by Swi–Snf recruitment, promoter histone eviction and Sas3 and Ada2(Gcn5)-dependent histone H3K14 acetylation. In the absence of H3K14 acetylation, Swi–Snf recruitment and histone eviction proceed, but transcription is reduced, suggesting these processes, while essential, are not sufﬁcient for de-repression. Further analysis in the absence of H3K14 acetylation reveals RNAP II recruitment at the FLO1 promoter still occurs, but RNAP II is absent from the gene-coding region, demonstrating Sas3 and Ada2-dependent histone H3 acetylation is required for transcription elongation. Analysis of the transcription kinetics
Use of drone technology to monitor and map endangered marmot populations in Mongolian grasslands.

Burrowing mammals impact the physical characteristics of the environment with their activity and, as a result, increase plant and animal biodiversity. The Siberian marmot ( Marmota sibirica ) is a globally endangered species inhabiting piedmont, mountain steppes, and alpine meadows in Mongolia and neighboring countries. Identifying a standardized national survey protocol in Mongolia is the first important step to developing a science-based management program and specific conservation measures for this endangered species. We used drones to collect aerial images of high-elevation Mongolian steppe grasslands to assess the efficacy of the application of this technology to count and monitor Siberian marmot population trends in a UNESCO Biosphere Reserve, Bogd Khan Mt. Based on the appearance of their entrance, we identified burrows on the ground on images and classified them as active (summer-living, hibernacula) and non-active. The drone survey was more effective in detecting and classifying burrows than the ground survey and the detectability of burrows on aerial images taken at 150 m above ground was higher than 0.9. We counted burrows in images acquired by the drone in spring and early summer. Burrows in spring were more easily detectable compared to summer because of the absence of vegetation which made the differences in the color of the ground more pronounced. However, the summer counts were similar to spring. We suggest that seasonal counts might provide different ecological information about the marmot’s habitat and population in space and time. Drone images also allowed the detection of differences in marmot populations between sites. This study represents a first step towards the development of a survey protocol to assess the status of this endangered mammal and for conservation planning aimed at restoring its key functional role in the grassland ecosystem.