Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation of Students’ Perceptions and Performance Towards ODL Virtual Electrotechnology Laboratory Course

516 Abstract Since the year 2020, Open Distance Learning (ODL) has made great impact on higher education institutions worldwide. ODL provides flexibility in education where students are able to attend online classes and watch recorded videos of lectures for revision or missed class. Though many institutions offer online-based course, it is still considered limited particularly in Electrical Engineering courses which requires hands-on in-lab practices. This is a challenge for higher institutions to adjust course content to be adaptable with ODL at the same time meet the course objectives. This paper studies students’ acceptance towards ODL virtual Electrotechnology laboratory (EEE111) course in UiTM Pasir Gudang based on Exit-Entrance Survey conducted at the beginning and end of the course with the students’ performance as the control group. The survey was conducted online with specific questions on students’ perceptions of the course. A total of 165 respondents were recorded for EE111 and EE112 programs. The effectiveness of this virtual laboratory was evaluated at the end of the semester by referring to the students’ performance in this course. Students have been assessed on practical skills, report writing, peer and lecturer review as well as on sustainability element in their mini project. The practical skills that contribute 90% from overall marks have been measured in practical test, laboratory work and mini project. Based on this study, it shows positive acceptance from the students towards ODL EEE111 course with 69.4% and 67.8% overall practical skills achieved for EE112 and EE111 programs respectively.
Granular computing and intelligent systems : design with information granules of higher order and higher type

From Interval (Set) and Probabilistic Granules to Set-and-Probabilistic Granules of Higher Order . - Artificial Intelligence Perspectives on Granular Computing . - Calculi of Approximation Spaces in Intelligent Systems . - Feature Discovery through Hierarchies of Rough Fuzzy Sets . - Comparative Study of Fuzzy Information Processing in Type-2 Fuzzy Systems . - Type-2 Fuzzy Similarity on Partial Truth and Intuitionistic Reasoning . - Decision-Making with Second Order Information Granules . - On the Usefulness of Fuzzy Rule Based Systems based on Hierarchical Linguistic Fuzzy Partitions . - Fuzzy Information Granulation with Multiple Levels of Granularity . - A Rough Set Approach to Building Association Rules and Its Applications . - Fuzzy Modeling with Grey Prediction for Designing Power System Stabilizers . - A Weighted Fuzzy Time Series Based Neural Network Approach to Option Price Forecasting . - A Rough Set Approach to Human Resource Development in IT Corporations . - Environmental Applications of Granular Computing and Intelligent Systems.
Formation of phoxite, (NH4)2Mg2(C2O4) (PO3OH)2•4H2O, from struvite and its occurrence in Petrogale Cave, Western Australia

ABSTRACT The mineral unknown A reported by Bridge from the Petrogale Cave in Western Australia has been shown to be phoxite, a recently described mineral from the Rowley mine in Arizona, USA. This is only the second recorded occurrence of phoxite, and while at the type locality, it occurs with struvite, (NH4)Mg(PO4)·6H2O, at the Petrogale Cave, it occurs with weddellite, Ca(C2O4)·2H2O. Phoxite can be synthesised from struvite or newberyite, MgHPO4·3H2O, by reaction with ammonium oxalate in water or by grinding the solids together. Mixing newberyite or struvite with ammonium oxalate in high humidity enables a clean synthesis of phoxite. A competing reaction is the formation of magnesium oxalate dihydrate (the mineral glushinskite). However, while stable in the solid, washing with water allows phoxite to revert to struvite, as part of a solid liquid equilibrium.
Small Firm Effect in Stock Markets: An Assessment of the Chinese Listed Firm

The small firm effect has been a topic of debate amongst the investors and behavioral finance theorists alike, whereby it is hypothesized that the firms with smaller market capitalization rates tend to outperform their larger counterparts. This paper will empirically investigate the relationship between stock returns and the size of shares outstanding and total market capitalization for listed companies in the Chinese market from 2010 to 2019. A panel regression analysis was conducted on the collected data with the market capitalization variable as the dependent variable and monthly returns generated by the company stock as the independent variable. The data for the variables were acquired from the Win.d database and the analysis was performed using STATA analysis software. The analysis revealed that there was a positive relationship between the market capitalization and the monthly returns generated, which negates the presence of a small firm effect in the selected sample. Overall, the study finds that stock returns of Chinese companies are negatively related to company size.
A unified theory of deterministic system parameter identification

This paper deals with the development of a unified theory for identification of parameters of a linear, discrete time system which is described by either causal or noncausal ARMA model. We study in detail the convergence properties of a parameter identification algorithm called least squares with covariance modification (LSCOM) and show how the convergence properties of a number of other related algorithms can be derived as special cases of the LSCOM algorithm.
Interacting particle systems

2 The asymmetric simple exclusion process 20 2.1 Stationary measures and conserved quantities . 20 2.2 Currents and conservation laws . 25 2.3 Hydrodynamics and the dynamic phase transition . 28 2.4 Open boundaries and matrix product ansatz . 32
Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services

Abstract The popularity of ride-hailing platforms has significantly improved travel efficiency by providing convenient and personalized transportation services. Designing an effective ride-hailing service generally needs to address two tasks: order matching that assigns orders to available vehicles and proactive vehicle repositioning that deploys idle vehicles to potentially high-demand regions. Recent studies have intensively utilized deep reinforcement learning to solve the two tasks by learning an optimal dispatching strategy. However, most of them generate actions for the two tasks independently, neglecting the interactions between the two tasks and the communications among multiple drivers. To this end, this paper provides an approach based on multi-agent deep reinforcement learning where the two tasks are modeled as a unified Markov decision process, and the colossal state space and competition among drivers are addressed. Additionally, a modifiable agent-specific state representation is proposed to facilitate knowledge transferring and improve computing efficiency. We evaluate our approach on a public taxi order dataset collected in Chengdu, China, where a variable number of simulated vehicles are tested. Experimental results show that our approach outperforms seven existing baselines, reducing passenger rejection rate, driver idle time and improving total driver income.
Emergent XY electronic nematicity in iron-based superconductors

Electronic nematicity, a correlated state that spontaneously breaks rotational symmetry, is observed in several layered quantum materials. In contrast to their liquid-crystal counterparts, the nematic director cannot usually point in an arbitrary direction (XY nematics), but is locked by the crystal to discrete directions (Ising nematics),resulting in strongly anisotropic fluctuations above the transition. Here, we report on the observation of nearly isotropic XY-nematic fluctuations, via elastoresistance measurements, in hole-doped Ba$_{1-x}$Rb$_{x}$Fe$_{2}$As$_{2}$ iron-based superconductors. While for $x=0$ the nematic director points along the in-plane diagonals of the tetragonal lattice, for $x=1$ it points along the horizontal and vertical axes. Remarkably, for intermediate doping, the susceptibilities of these two symmetry-irreducible nematic channels display comparable Curie-Weiss behavior, thus revealing a nearly XY-nematic state. This opens a new route to assess this elusive electronic quantum liquid-crystalline state, which is a candidate to host unique phenomena not present in the Ising-nematic case.
Towards a Theory of Motivations and Roles in Business Ecosystems

Focusing on the role of networking organizational structure, the literature on innovation management has turned towards value co-creation. The need for value co-creation has emerged from the fact that, in order for firms to cater for their customers’ needs, they cannot deliver on their own as single entities, but rather participate in business ecosystems. Ecosystems are a fundamental occurrence of the academic literature, as well as the managerial world. In order to gain insight to the operations of ecosystems, a systematic literature was carried out. The research question concerned the motivations that drive participants to join a business ecosystem. Several frameworks were explored with a focus on the roles that participants might fill and their specific attributes. The findings suggest linking the stakeholders’ motivations to specific roles’ attributes, thus leading to the filling of a certain role. The outcomes are then reflected in the luxury goods industry, which is one of the richest and unmanageable sectors and bears the characteristics of an ecosystem. The contribution of this research is fundamental for the ecosystems operations, as the exploration of stakeholders’ motivations is essential for the sustainability of the ecosystem from a managerial perspective.
FinFET-based 11T sub-threshold SRAM with improved stability and power

ABSTRACT This paper presents a single-ended 11T sub-threshold SRAM (SE11T) based on 10-nm FinFET technology. The performance of the proposed design is evaluated and compared with those of other state-of-the-art SRAMs namely 6T, 8T, DIRP10T, ST2, PPN10T, and FC11T at VDD = 0.3 V. The proposed design improves read stability by 2.08X/1.31X/1.03X compared to 6T/ST2/PPN10T due to the read-decoupling technique. Furthermore, it improves writability by 1.42X/2.85X/1.35X/1.28X compared to 6T/DIRP10T/ST2/PPN10T owing to feedback-cutting scheme. The use of write bitline free structure make the proposed SRAM consumes at least 2.79X lower dynamic power. The static power is reduced in the proposed SRAM by at least 1.09X. The reduction is because of the stacking of the transistors, the long path from power VDD to ground, and eliminated leakage in read path. The proposed SRAM works reliably even when exposed to extreme process variations. The proposed bitcell occupies a 1.46X/1.19X higher area than that of 6T/8T. The proposed design improves most of the design metrics and can be an efficient candidate for portable applications with budgeted power.
Not quite the ideal student: mature students’ experiences of higher education

ABSTRACT Although more students have formally gained access to higher education, universities continue to present students with norms and ideals that can function as invisible barriers to them. This paper investigates how norms and expectations in Danish higher education pose certain challenges to mature students, who, due to their age and often different life situations, do not fit the characteristics of the ideal student. Based on qualitative data, the paper shows that living up to the ideal includes engaging in social and extracurricular activities, as well as dedicating oneself to being a student. Moreover, the ideal relates to dominant ideas about the normal biography of university students. The paper contributes to the understanding of mature students’ experiences and provides a framework for unpacking how norms and ideals pose barriers to some students. Our findings underline higher education institutions’ responsibilities in challenging existing norms and ideals.
Focus on Self-Presentation on Social Media across Sociodemographic Variables, Lifestyles, and Personalities: A Cross-Sectional Study

Upward social comparison and aspects of self-presentation on social media such as feedback-seeking and strategic self-presentation may represent risk factors for experiencing negative mental health effects of social media use. The aim of this exploratory study was to assess how adolescents differ in upward social comparison and aspects of self-presentation on social media and whether these differences are linked to sociodemographic variables, lifestyle, or personality. The study was based on cross-sectional data from the “LifeOnSoMe” study performed in Bergen, Norway, including 2023 senior high school pupils (response rate 54%, mean age 17.4, 44% boys). Nine potentially relevant items were assessed using factor analysis, and latent class analysis was used to identify latent classes with distinct patterns of responses across seven retained items. The retained items converged into one factor, called “focus on self-presentation”. We identified three groups of adolescents with a low, intermediate, and high focus on self-presentation. Associations between identified latent classes and covariates were assessed using regression analyses. Being a girl, higher extraversion, lower emotional stability, more frequent alcohol consumption, and having tried tobacco were associated with membership in the high-focus group. These results suggest some characteristics that are associated with a higher focus on self-presentation and that could inform targeted interventions.
European Trends in Business Incubation Through open Innovation Approach

The open innovation (OI) is the actual framework for exploiting external resources and wider networks in doing innovation instead of just operating with in-house resources. Business incubators ensure networking and facilitate OI collaborations both inside the incubator among entrepreneurs and outside with external stakeholders. The purpose of the qualitative study is to identify the European trends in business incubation through OI approach by setting two main tasks – 1) identify business incubation trends and 2) validate these theoretical findings by conducting the empirical study in Latvia business incubators and 3) draw the conclusions for business incubation practitioners in order to improve business incubation from OI perspective. The qualitative research methods applied – 1) literature review on business incubation trends, OI approach in business incubation such as service provision, online and onsite incubation, tenant OI competences and strategies, co-creation and collaboration and 2) the empirical qualitative research in Latvia business incubators by conducting incubator management (13) interviews. The results proved that the main national trends dominant and present in Latvian business incubation are corresponding to the European trends, namely, 1) incubators are serving as OI partners and are recognized by tenants as access providers to external resources ands networks; 2) networking as facilitating activity of the inside-out and outside-in OI strategies; 3) tenants’ OI strategies and motivation as well as variety of OI partners (experts, mentors, clients, companies, researchers, universities) promote the better incubation results in terms of ideas validated, product developed, companies created and innovation implemented. These results are in line with the main findings on European trends from a literature review perspective. This article provides national findings on OI application in business incubation as the empirical novelty for business incubation practitioners, academia, entrepreneurship support policy makers and tenants internationally detecting the crucial role of OI activities applied in business incubation and incubators as OI partners. Business incubation trend analysis through Open innovation approach is a novelty of this research. Key words: open innovation, open innovation strategies, business incubator, business incubation trends, value co-creation Acknowledgement This research was conducted within the project “Open Innovation, No1.1. 1.2/VIAA/3/19/426” funded by Postdoctoral Research Support Aid programme of Latvia.
Combination Treatment for Inhibition of the Growth of Staphylococcus aureus with Recombinant SAP8 Endolysin and Nisin

Staphylococcus aureus, a pathogenic species of genus Staphylococcus involved in foodborne illness always remain among the top priorities of the world major concerns. In the present study, we have used recombinant SAP8 endolysin from the bacteriophage SAP8 and commercial nisin to inhibit the viability of pathogenic S. aureus KCTC 3881 cells; however, the approach was not identified as cost-effective. A gradual decrease in the viable S. aureus KCTC 3881 cell counts was observed with an increase in the concentrations of recombinant SAP8 endolysin and nisin. However, combined treatment with recombinant SAP8 endolysin and nisin decreased the viable S. aureus KCTC 3881 cell counts in a significant manner. The combination of 0.01 µM of recombinant SAP8 endolysin with 9 IU/mL and 18 IU/mL of nisin demonstrated a promising decrease in the viable cell counts of the strain. Under the scanning electron microscope, the combination treatment with 0.01 µM of recombinant SAP8 endolysin and 18 IU/mL of nisin showed complete cellular destruction of S. aureus KCTC 3881. We propose that a combination of recombinant SAP8 endolysin and nisin could be a strong alternative to antibiotics to control the growth of S. aureus including MRSA.
Return to work of employees with low levels of education: The employers’ role and perspective

BACKGROUND: To achieve adequate return to work (RTW) after sickness absence, Dutch legislation prescribes cooperation between absent employees and employers. Yet, we lack insight into how employees with low levels of education exercise influence over (i.e. self-direct) RTW. OBJECTIVE: This study aimed to enhance our understanding of: (A) the role that employers play in the self-direction of employees with low levels of education over their RTW; (B) how employers perceive these employees’ efforts (or lack thereof) to self-direct their own RTW; and (C) how employers understand and interpret the behaviours of these employees. Social cognitive theory served as a framework. METHODS: A qualitative study was conducted with 13 employer representatives using semi-structured interviews. Data were analysed in NVivo12 using a template approach. RESULTS: Employers tend to play a guiding, directive role in employees’ RTW. According to employers, employees generally comply with the employers’ decisions and suggestions, whether or not they have tried to realise their own preferences regarding mode and timing of RTW. Employers interpret such employee behaviours from the perspective of environmental (e.g. financial pressures to RTW) and person-related factors (e.g. sickness and RTW perceptions). CONCLUSIONS: Employers, rather than employees direct the employees’ RTW. Employers should give voice to employees and enable them to have more control over their RTW. Future research should acquire more insight in the employees’ perspective.
The Predicting Power of Asset Pricing Models during Market Turmoil

This paper investigates the predictive return power of three asset pricing models during market turmoil: the CAPM, Fama-French 5 factor model, and q-factor model. We select two periods of market downturns: the 2008 financial crisis and the 2020 Covid period. The models are trained before these two periods and tested during the market turbulence. We specifically test the models on 10 stocks with different firm characteristics and compare their difference in performance. Out of three different asset pricing models, we find that the Fama-French five-factor model performs the best, with relatively small prediction error and standard deviation. When facing financial turmoil, the predictive ability of the three models decreases.
Multi-Purpose Trees Species Damage Index: Case Study of Wan Abdul Rachman Forest Park Utilization Block, Lampung

The Wan Abdul Rachman (WAR) Forest Park (TAHURA) Utilization Block is a location that can be utilized by the community, especially its non-timber forest products. Utilization of non-timber forest products is the type of Multi-Purpose Trees Species (MPTS). On the other hand, many trees were damaged due to this utilization. This study aimed to obtain the damage index (IK) of MPTS types in the TAHURA WAR utilization block. Data was collected by assessing the IK of trees based on the Forest Health Monitoring (FHM) method on five cluster plots of FHM. Data analysis was carried out using the IK value formula. The results showed that there were 13 types of MPTS found in the TAHURA WAR utilization block; with the range of IK values for each kind of MPTS as follows: Durio zibenthinus (0.0-6.1), Persea americana (1.4-6.5), Parkia speciosa (0.0-5.8), Archidendron pauciflorum (1.5-6.1), Gnetum gnemon (0.0-6.1), Hevea brasiliensis (1.4-6.1), Theobroma cacao (1.4-5.0), Mangifera indica (1.6-4.3), Sygyzium malaccensis (1.6-4.6), Arthocarpus heterophyllus (1.6-5.8), Sygyzium aqueum (1.4-4.3), Sygyzium aromaticum (1.5-3.8) and Tectona grandis (1.6-4.9). The location influences the size of the IK value, type and severity of tree damage found. Thus, the average IK values for each kind of MPTS in the TAHURA WAR utilization block were Hevea brasiliensis (4.3), Artocarpus heterophyllus (4.2), Archidendron pauciflorum (4.1), Theobroma cacao (4.0), Tectona grandis (3.8), Persea americana (3.5), Parkia speciosa (3.5), Durio zibenthinus (3.4), Sygyzium malaccensis (3.4), Gnetum gnemon (3.2), Sygyzium aqueum (2.9), Mangifera indica (2.7) dan Sygyzium aromaticum (2.4).
Model reduction of LFT systems

The notion of balanced realizations and balanced truncation model reduction, including guaranteed error bounds, is extended to general Q-stable linear fractional transformations (LFTs). Since both multidimensional and uncertain systems are naturally represented using LFTs, this can be interpreted either as doing state order reduction for multidimensional systems or as uncertainty simplification in the case of uncertain systems. The role of Lyapunov equations in the 1D theory is replaced by linear matrix inequalities (LMIs). All proofs are given in detail as they are very short and greatly simplify even the standard 1D case. <<ETX>>