Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Intellectual Capital on Financial Performance of SMEs

The purpose of this study was to obtain empirical evidence of the influence of components of intellectual capital, namely human capital, structural capital, and relational capital on the financial performance of small medium enterprises or SMEs in Jayapura City and Jayapura Regency, West Papua, Indonesia. Respondents in this study consisted of 54 respondents who had business fields, consisting of culinary businesses, fashion, daycare services, lodging services, and futsal fields. In addition, respondents are selected based on ethnicity, namely, Papuan as many as 26 people or 51.8% and non-Papuan as many as 28 people or 48.2%. The analytical tool is used in SmartPLS 3 by looking at the measurements of the outer model and inner model. The results show that the components of human capital and relational capital significantly affect the financial performance of SMEs with a significance value of 0.042 and 0.044, respectively. Meanwhile, the hypothesis of the influence of the structural capital component on SME financial performance is not statistically supported with a significance value of 0.569. The results theoretically provide empirical evidence for studies on the importance of intellectual capital on the financial performance of SMEs in particular with the context of SMEs in Papua that has not been studied. The main findings of this study highlight the development of intellectual capital in SMEs. The limitations of this study lie in the effect of structural capital components on financial performance which is not empirically supported. Thus, further research needs to examine the effect of structural capital interaction with other components of intellectual capital to improve MSME financial performance.
A self-tuning regulator for induction machine vector control

In a vector controlled induction machine drive, accurate knowledge of the machine electrical parameters is required to ensure correct alignment of the stator current vector relative to the rotor flux vector, to decouple the flux and torque producing currents and to tune the current control loops. This paper presents a new method for online identification of the induction machine parameters required to tune a rotor flux oriented (RFO) vector control scheme. Accuracy of the slip frequency estimation required for RFO vector control is achieved by utilising the parameter independent flux pulse rotor time constant estimation scheme, which utilises short duration pulses injected into the flux producing current. The parameters required to tune the synchronous frame current control loops with a de-coupling circuit are estimated using a recursive estimation scheme derived from the synchronous frame voltage equations. Simulation and experimental results are presented which demonstrate the effectiveness of the on-line parameter identification and control loop tuning technique.
The direct numerical simulation of two-phase flows with interface capturing methods

Multiphase flows play a central role in problems related to the environment and industry.Common, but significant, features of such problems are complex geometries and topography, transport processes across phase boundaries, and internal interfaces that merge, break, and deform.Requirements to predict fluid motion under such conditions provide significant challenges for computational fluid dynamics, particularly for direct simulation of flows involving internal interfaces.In this paper, we will focus on two models that capture the motion of internal interfaces implicitly and can resolve complex flows down to computational grid sizes. The methods are based on the phase-field approach, which are also applied in its general form to viscoelastic and phase separating polymeric systems—in the latter case using a self-consistent field theoretic approach. For processes occurring over very small length scales, e.g. nucleation and growth, such computations result in finite thickness interfaces and capture the necessary physics.For larger length-scale multiphase structures, the interface becomes a contact discontinuity, and the method smoothly transitions into a level-set-like formulation.However, in this second form the sharp interface is computationally difficult to handle.A variation of the ghost-fluid method in which sharp interfaces can be captured will be presented.Applications will be shown at the two extremes of scales, including early stages of nucleation, growth and coarsening of multiphase structures, as well as macroscopic flows in which length-scales and velocities are large.
Non-invasive Electronic Biosensor Circuits and Systems

An aging population has lead to increased demand for health-care and an interest in moving health care services from the hospital to the home to reduce the burden on society. One enabling technology is comfortable monitoring and sensing of bio-signals. Sensors can be embedded in objects that people interact with daily such as a computer, chair, bed, toilet, car, telephone or any portable personal electronic device. Moreover, the relatively recent and wide availability of microelectronics that provide the capabilities of embedded software, open access wireless protocols and long battery life has led many research groups to develop wearable, wireless bio-sensor systems that are worn on the body and integrated into clothing. These systems are capable of interaction with other devices that are nowadays commonly in our possession such as a mobile phone, laptop, PDA or smart multifunctional MP3 player. The development of systems for wireless bio-medical long term monitoring is leading to personal monitoring, not just for medical reasons, but also for enhancing personal awareness and monitoring self-performance, as with sports-monitoring for athletes. These developments also provide a foundation for the Brain Computer Interface (BCI) that aims to directly monitor brain signals in order to control or manipulate external objects. This provides a new communication channel to the brain that does not require activation of muscles and nerves. This innovative and exciting research field is in need of reliable and easy to use long term recording systems (EEG). In particular we highlight the development and broad applications of our own circuits for wearable bio-potential sensor systems enabled by the use of an amplifier circuit with sufficiently high impedance to allow the use of passive dry electrodes which overcome the significant barrier of gel based contacts.
Delayed least-mean-square algorithm

The conventional delayed least-mean-square (LMS) algorithm converges more slowly than the LMS algorithm due to the delay introduced in coefficient adaptation. The authors derive a new delayed LMS algorithm, which is a realisation of the orthogonality principle, by minimising the a posteriori squared error. Computer simulations show that it does not suffer from the introduced delay and has comparable convergence performance to the LMS algorithm.
Dynamic Characteristics of III-V and IV-IV Semiconductor Based Transit Time Devices in the Terahertz Regime: A Comparative Analysis

High-frequency characteristics of IMPATT Oscillators based on III-V Indium Phosphide (InP), III-V Wurtzite Gallium Nitride (Wz-GaN) and IV-IV Silicon Carbide (3C, 4H and 6H polytypes) are studied and their performances are compared at a frequency of 0.3THz. A double drift p + p n n + structure is chosen for all the materials and investigation has been carried out to obtain maximum conversion efficiency and device negative resistance by optimizing bias current density through modeling and simulation technique. A double iterative computer method based on modified drift-diffusion model has been used to study their performance. The simulation studies reveal that these devices are potential sources for generating high power in the Terahertz regime. The avalanche response time for each of the IMPATT diodes are simulated by a newly developed simulation technique and it has been observed that avalanche response time in InP, GaN and SiC IMPATTs are less than the corresponding transit time of the diodes- which is an essential condition to generate THz oscillation in these devices. The conversion efficiency of III-V InP IMPATT diode is found to be 18.4% at 0.3THz with an output power of 2.81W, whereas, III-V Wz-GaN IMPATT is found to generate much higher output power of 6.23W with a conversion efficiency of 15.47% at 0.3THz. On the other side, IMPATTs based on IV-IV SiC generate output power of 11.5W (3C-SiC), 20W (4H-SiC) and 7.5W (6H-SiC) with corresponding conversion efficiencies of 12.5% (3C-SiC), 15% (4H-SiC) and 12% (6H-SiC) at 0.3THz. The extensive simulation results reveal that though IMPATT diode based on SiC gives better performance in terms of higher output power in the Terahertz domain compared to other materials, GaN IMPATT has the advantage of higher efficiency. The design data and the proposed fabrication methodology, presented in this paper, will be helpful to realize InP, SiC and GaN based IMPATT oscillators for Terahertz communication.
Messaging Forensic Framework for Cybercrime Investigation

Online predators, botmasters, and terrorists abuse the Internet and associated web technologies by conducting illegitimate activities such as bullying, phishing, and threatening. These activities often involve online messages between a criminal and a victim, or between criminals themselves. The forensic analysis of online messages to collect empirical evidence that can be used to prosecute cybercriminals in a court of law is one way to minimize most cybercrimes. The challenge is to develop innovative tools and techniques to precisely analyze large volumes of suspicious online messages. We develop a forensic analysis framework to help an investigator analyze the textual content of online messages with two main objectives. First, we apply our novel authorship analysis techniques for collecting patterns of authorial attributes to address the problem of anonymity in online communication. Second, we apply the proposed knowledge discovery and semantic anal ysis techniques for identifying criminal networks and their illegal activities. The focus of the framework is to collect creditable, intuitive, and interpretable evidence for both technical and non-technical professional experts including law enforcement personnel and jury members. To evaluate our proposed methods, we share our collaborative work with a local law enforcement agency. The experimental result on real-life data suggests that the presented forensic analysis framework is effective for cybercrime investigation.
Language Semantics Interpretation with an Interaction-based Recurrent Neural Networks

Text classification is a fundamental language task in Natural Language Processing. A variety of sequential models are capable of making good predictions, yet there is a lack of connection between language semantics and prediction results. This paper proposes a novel influence score (I-score), a greedy search algorithm, called Backward Dropping Algorithm (BDA), and a novel feature engineering technique called the “dagger technique”. First, the paper proposes to use the novel influence score (I-score) to detect and search for the important language semantics in text documents that are useful for making good predictions in text classification tasks. Next, a greedy search algorithm, called the Backward Dropping Algorithm, is proposed to handle long-term dependencies in the dataset. Moreover, the paper proposes a novel engineering technique called the “dagger technique” that fully preserves the relationship between the explanatory variable and the response variable. The proposed techniques can be further generalized into any feed-forward Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs), and any neural network. A real-world application on the Internet Movie Database (IMDB) is used and the proposed methods are applied to improve prediction performance with an 81% error reduction compared to other popular peers if I-score and “dagger technique” are not implemented.
Synthesis of High-Performance CSA Cements as Low Carbon OPC Alternative

Starting from natural raw materials, cements based calcium sulphoaluminate (CSA) clinkers have been successfully obtained as an eco-friendly alternative to ordinary Portland cement. CSA-based cements with ye’elimite as the main phase have been produced over the years and are widely used today. In this regard, the present paper considers the study of hydration processes for CSA pastes prepared with a water/cement ratio of 0.5 according to the EN-197 standard and their characterization by thermal analysis (DTA-TG), X-ray diffraction analysis (XRD), and scanning electron microscopy coupled with energy dispersive X-ray spectroscopy (SEM-EDX). A mechanical strength of 60.9 MPa was the greatest achieved for mortars hardened for 28 days.
Design and Implementation of an RSSI-Based Bluetooth Low Energy Indoor Localization System

Indoor Positioning System (IPS) is a crucial technology that enables medical staff and hospital managements to accurately locate and track persons or assets inside the medical buildings. Among other technologies, Bluetooth Low Energy (BLE) can be exploited for achieving an energy-efficient and low-cost solution. This work presents the design and implementation of an received signal strength indicator (RSSI)-based indoor localization system. The paper shows the implementation of a low complex weighted k-Nearest Neighbors algorithm that processes raw RSSI data from connection-less iBeacon’s. The designed hardware and firmware are implemented around the low-power and low-cost nRF52832 from Nordic Semiconductor. Experimental evaluation with the real-time data processing has been evaluated and presented in a 7.2 m by 7.2 m room with furniture and 5 beacon nodes. The experimental results show an average error of only 0.72 m in realistic conditions. Finally, the overall power consumption of the fixed beacon with a periodic advertisement of 100 ms is only 50 µA at 3 V, which leads to a long-lasting solution of over one year with a 500 mAh coin battery.
Investigation of hepatitis B virus prevalence and reactivation frequency in malignancy patients administering chemotherapy

Aim: This study aimed to investigate the frequency at which physicians test hepatitis B virus (HBV) serology before treatment and the rate of hepatitis B virus reactivation (HBVr) after treatment in patients undergoing chemotherapy (CT) due to a solid organ malignancy (SOM) or hematological malignancy (HM). Materials and Methods: Baseline clinical feature, HBV serology, and liver function test data for 1275 patients ≥ 18 years of age who underwent CT for the first time due to various SOMs and HMs from 2015-2017 were obtained from the database and retrospectively analyzed. HBV serology was studied in 296 (201 HM, 95 SOM) of the 1275 patients retrieved from the database. Results: The prevalence of HBV was 9.5% (121 patients). Only 49 (40.4%) HBV-positive patients had HBV DNA. Of those, 72 (59.5%) underwent prophylactic antiviral therapy. HBVr was detected in only 3 patients (1.5%), and all of those patients had HMs and were recommended oral antiviral therapy but did not. Conclusion: In patients with SOMs, the screening rates of HBV serology, as well as prophylaxis and follow-up HMs were extremely low. Therefore, these patients should be screened for HBV serology and prophylactic treatment should be given when necessary for HBVr.
Genome size, chromosome counts and distribution of Homogyne alpina (Asteraceae) in the Slovak Carpathians

Homogyne alpina (L.) Cass. represents the only species of the genus Homogyne Cass. in Slovakia. This study characterizes H. alpina in terms of chromosome counts, genome size, reproduction mode and distribution in Slovakia. Three known cytotypes of the species are known, of which the cytotype 2n = 160 is represented in the Slovak mountains and has not been documented from other countries yet. Flow cytometric analyses showed the genome size 2C = 21.30 pg for petioles and 2C = 21.82 pg for seeds. Sexual reproduction mode was confirmed by flow cytometric screening method based on embryo to endosperm genome size ratio. The centre of the species distribution is in high mountains of the Slovak Carpathians, where it is frequent in the altitude above 1000 m a. s. l. from mountane to alpine vegetation zone. The full list of the data of its distribution and the distribution map are also presented.
Advanced Measurement Techniques for Nonlinear Modelling of GaN HEMTs: From L-band to mm-Wave Applications

Nonlinear modeling of GaN HEMTs is a challenging task especially when accurate predictions are desired under nonlinear dynamic operation. This is mainly due to the dispersion phenomena affecting state-of-the-art devices that must be accurately characterized and correctly accounted for during the development of their nonlinear model. The challenge becomes harder as frequency, power and circuit complexity increase as being demanded by the marketplace for the upcoming 5G-related applications. In this paper, nonlinear measurement techniques are discussed which allow the accurate characterization of microwave GaN HEMTs under actual operating conditions. The paper also discusses how to use these measurements in the extraction phase of nonlinear models highlighting the benefits of their adoption for modeling purposes.
Increasing thermal rating by risk analysis

It has long been realized that the thermal ratings of overhead transmission lines when computed deterministically, are typically conservative, resulting in under-utilization of conductors. A probabilistic method to assess thermal capacity based on risk is presented in this paper. The authors address the potential impacts of thermal overload, the stochastic model of conductor temperature, and the quantitative risk which indicates the average "danger" of an overload. The continuous, short-time and long-time thermal ratings are calculated using the risk of thermal overload. This method can provide technical justification for increased thermal capacity for a transmission line and an evaluation of risk for the given operating conditions.
Universal Design in Multi-Unit Housing

When applied to multi-unit or apartment buildings, Universal Design (UD) has the potential to enhance both the physical and psychological environment for a large number of tenants and guests. Combining both public and private spaces, apartment buildings are unique in their design, allowing UD to be more effective in its application. This research project used multiple methods and applied these methods to two existing apartment buildings: one that applied UD, one that did not, in order to explain the way UD effects this environment in practice. This research project shows that when applied effectively, UD can increase the perceived quality of private apartments and reduce architectural stigmas to provide a more accessible and functional environment for all. Although there is still a knowledge barrier to UD’s widespread use, UD has the potential to have an impact on current and future tenants when applied to apartment buildings.
Cost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling

Design optimization of a permanent magnet eddy current brake (PM-ECB) is performed by applying multiobjective particle swarm optimization (MO-PSO) for cost minimization. A previously designed and patented PM-ECB is used as a reference model in the study. A quasi-3-dimensional (3D) analytical modeling approach based on a reluctance network considering the actual structure of the reference PM-ECB is proposed and verified. The Gauss–Seidel method is used as a nonlinear solver for the reluctance network modeling, and the braking torque is calculated considering both the skin effect and the armature reaction. Multiobjective optimization is developed by applying a particle swarm algorithm, and a 3D Pareto front is provided to demonstrate all non-dominating design points. Three cost functions, viz. rated braking torque, magnet mass, and magnetic flux density of the yoke, are selected as the objectives for the optimization problem, and the optimum design point is addressed in detail. The optimized design is validated by 3D-FEA and experiments. The results indicate that a 40% reduction in the magnet volume could be brought about by the optimized PM-ECB design with practically the same braking torque. Further, a 40% cost reduction in the optimized brake could be achieved compared with the reference one.
FROM MASS HIGHER EDUCATION TO UNIVERSAL ACCESS

The history of higher education since the Second World War both in the United States and Europe has been a history of the expansion of access and its consequences. In Europe, the growth was initially beyond the tiny numbers enrolled in a few European universities before the war to the 30 to 40 per cent of the age grade currently enrolled in all forms of postsecondary education. This large and rapid expansion has been in part through expansion of the elite universities, in part through the creation of nonuniversity sectors and institutions. Both responses to the demand for places reflected the growth in all modern societies of occupations demanding more than a secondary school education, and it has been marked, especially in recent decades, by a growth in the numbers of non-traditional students  mature, employed, studying part time and aiming at employment in the rapidly growing semi-professions and knowledge-based service industries. These students, defining by their origins and aspirations the emerging systems of mass higher education, have been oriented chiefly towards gaining useful skills and knowledge rather than towards membership in a cultural elite marked by common bodies of arcane knowledge and cultivated ways of thinking and feeling. The growth of mass higher education in Europe has been the subject of most of the commentary on higher education over the past half-century. Increased numbers have occasioned a host of related problems  of funding, organization and governance, and of quite different conditions for teaching new kinds of students with diverse aspirations and academic talents. But the focus on the enormous problems of creating systems of mass higher education has not allowed much thought on the next stage of postsecondary higher education: the extension of access beyond a third or a half of a population to a situation in which access to some form of postsecondary education is universally available throughout life and in homes and workplaces. The development of the new information technologies (IT) over the past few years creates new possibilities and problems for European systems of higher education even before they have fully solved those associated with the creation of mass systems  a process which is still under way. 1
18.5L: Late‐News Paper: OLED based Binocular Interactive See‐through HMD

This paper describes the design and the setup of a novel interactive binocular see‐through head‐mounted display (HMD) based on OLED microdisplays. In contradistinction to previous reported bulky monocular eyetracking HMDs based on the OLED‐on‐CMOS technology, the presented system meets the requirements of lightweight eyeglasses with a high functionality.