Miracle-dz/UniFAR-FTUs huggingface dataset:
Unique Elements of the Traditional and Vernacular Masjids in Malaysia; Traditional Elements Acquainting Practical Sustainability

Since indigenous construction, sustainability had appeared into practice though it was not performed in high technology manner. The paper focuses on the traditional masjids in Malaysia where traditional technology of passive design has long been inculcated. Passive design strategies which are practical are ablution from rain water harvesting, comfortable interior without mechanical ventilation and flexible layout with future expansion, employment of materials suitable to the climate and simple device of roofing system that gives major contribution to the indoor space quality. The paper reveals that practical sustainability features used by the former generations suggest great contributions to the future of architecture and construction without inflating the cost. Three masjids are chosen to be case studies and they are examined and observed in order to conform on the performance of practical sustainability
Real-Time and Real-Fast Performance of General-Purpose and Real-Time Operating Systems in Multithreaded Physical Simulation of Complex Mechanical Systems

Physical simulation is a valuable tool in many fields of engineering for the tasks of design, prototyping, and testing. General-purpose operating systems (GPOS) are designed for real-fast tasks, such as offline simulation of complex physical models that should finish as soon as possible. Interfacing hardware at a given rate (as in a hardware-in-the-loop test) requires instead maximizing time determinism, for which real-time operating systems (RTOS) are designed. In this paper, real-fast and real-time performance of RTOS and GPOS are compared when simulating models of high complexity with large time steps. This type of applications is usually present in the automotive industry and requires a good trade-off between real-fast and real-time performance. The performance of an RTOS and a GPOS is compared by running a tire model scalable on the number of degrees-of-freedom and parallel threads. The benchmark shows that the GPOS present better performance in real-fast runs but worse in real-time due to nonexplicit task switches and to the latency associated with interprocess communication (IPC) and task switch.
The Effect of Rosehip (Rosa canina L.) Supplementation to Diet on the Performance, Egg and Meat Quality, Antioxidant Activity in Laying Quail

This study was conducted to determine the effects of rosehip (RS, Rosa canina L.) supplementation on the performance, carcass traits, meat quality, serum antioxidant activity, egg yolk pigmentation and fatty acid composition of laying quail. A total of 120 10-week-old laying quail were divided into 5 treatment groups with 8 replicates. The treatments were as follows: the first group was fed control diet (C, no rosehip addition), other groups (2, 3, 4 and 5) were fed with diets containing 2.5, 5, 10 and 15% RS, respectively. The body weight (BW), feed consumption (FC) and egg yield were not affected by the treatments. However, egg weight and egg mass increased with 5 and 10% RS supplementation (P<0.01). The breast meat’s dry matter, crude protein, ash, fat, drip loss, thawing loss, cooking loss, postmortem pH1 values and the colour were not statistically influenced by RS supplementation. Rosehip supplementation caused a decrease in the L* values of egg yolk colour, however, the redness (a*) and yellowness (b*) values of the egg yolk was higher than that of the C group (P<0.01). Rosehip supplementation did not change the fatty acid composition of egg yolk. Rosehip addition at 2.5 and 5% ratio to diets decreased serum malondialdehyde (MDA), and increased serum superoxide dismutase (SOD) levels (P<0.01); while addition of 10 and 15% RS caused an increase in serum MDA and decrease in serum SOD levels compared to C group (P<0.01). In conclusion, rosehip as a feed ingredient in quail diets can be used to increase egg weight, egg mass and egg yolk pigmentation and low (2.5 and 5%) RS supplementation may decrease serum oxidant activity but not high concentrations (10 and 15%) of RS.
Internet User Stickiness in the Social Q & A Community from the Perspective of Interactivity - A Case Study on Zhihu Website

This paper mainly explores how the user’s perceptual interaction towards a specific website affects the user stickiness and the interaction mechanism of various influencing factors of user stickiness, which may encourage socialized Q & A community operators to adopt more appropriate ways to enhance user’s stickiness. We comprehensively use the planning behavior theory and technology acceptance model with the perceptual perspective of interaction. Based on the framework of “belief → attitude → intention”, an attempt is made to construct a conceptual model of influencing factors of user stickiness in socialized Q & A community by collecting the data through questionnaire survey, and using spss23.0 and amos23.0 to analyze the data and validate the model. The empirical research results prove that the factors such as perceived usefulness, perceived ease of use, information exchange perception, social interaction perception satisfaction, and heart flow experience have positive effects on social users. We conclude that the operators can build and consolidate user engagement, attract and retain the users by enhancing interactive perception, optimizing user experience, and improving their satisfaction.
Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process

Short-term prediction of traffic variables aims at providing information for travelers before commencing their trips. In this paper, machine learning methods consisting of long short-term memory (LSTM), random forest (RF), support vector machine (SVM), and K-nearest neighbors (KNN) are employed to predict traffic state, categorized into A to C for segments of a rural road network. Since the temporal variation of rural road traffic is irregular, the performance of applied algorithms varies among different time intervals. To find the most precise prediction for each time interval for segments, several ensemble methods, including voting methods and ordinal logit (OL) model, are utilized to ensemble predictions of four machine learning algorithms. The Karaj-Chalus rural road traffic data was used as a case study to show how to implement it. As there are many influential features on traffic state, the genetic algorithm (GA) has been used to identify 25 of 32 features, which are the most influential on models’ fitness. Results show that the OL model as an ensemble learning model outperforms machine learning models, and its accuracy is equal to 80.03 percent. The highest balanced accuracy achieved by OL for predicting traffic states A, B, and C is 89, 73.4, and 58.5 percent, respectively.
A critical perspective on tourism employment

ABSTRACT This article presents a critical analysis of tourism employment and sustainable development in the context of regional inequality, poverty alleviation and internal migration with special references to Turkey. It was found that although Turkey has experienced rapid tourism growth in terms of volume and value, it has contributed little to reduce unemployment and poverty rates among regions, and migration from relatively less developed regions to more developed regions for seeking a better job opportunity. It concludes that benefiting from tourism as a developmental instrument in this context is an enormously difficult task to achieve owing to the prevailing socio-economic conditions in the developing world, and thus necessitates reconfiguring hard political and economic choices, and decisions based upon complex socio-economic trade-offs.
ETLINGERA COMOSA, A NEW SPECIES (ZINGIBERACEAE: ALPINIOIDEAE) FROM CENTRAL SULAWESI

ARDIYANI, M. , ARDI, W. H. , HUTABARAT, P. W. K. & POULSEN, A. D. 2021. Etlingera comosa, a new species (Zingiberaceae: Alpinioidea) from Central Sulawesi. Reinwardtia 20(2): 63−68. — Etlingera comosa Ardiyani & Ardi, a new and unusual species from Tentena, Central Sulawesi exhibiting terrestrial as well as epiphytic habit is described here. It is compared to the morphologically closest Etlingera sublimata A.D.Poulsen, but differs in having tufted sheath, bilobed and asymmetric ligule, loose peduncular bracts, densely pubescent fertile bracts and longer filament. Colour plates, notes on its conservation status and DNA barcode data for the new species are also provided.
Exercise as an Emerging Factor Effecting Cardiovascular Health (An Experimental Approach)

This resaerch study was basically carried out for the purpose to assess the effect of moderate intensity exercise on cardiovascular health. Ten (10) participants were voluntarily selected and thus they were randomly divided into two (02) groups i.e. (Experimental Group (EG)=05+ Control Group (CG)=05.A self-made eight weeks’ self-made moderate intensity exercise protocol was applied on all the subjects. Pre and post test data were collected through Harvard Step Test. A written informed consent was taken from each subject before participation in the study. All participants were informed about the benefits and risk factors of the study. After fulfilling all the ethical protocols, eight weeks self-made moderate intensity exercise protocol was applied on all the subjects. Pre and post test data were collected through Harvard Step Test. The collected data were tabulated and analyzed by using various statistical tools. On the basis of analysis the researcher arrived at conclusion that exercise has a significant effect on cardiovascular health.
Skill, History and Risk-Adjusted Performance

There has been a lot of research recently on risk-adjusted performance measures as investors have grown more sophisticated and have peered behind absolute performance measures. An ideal performance measure should adjust for risk, but also provide some indication of the skill of a manager, provide some indication on how portfolios should be constructed and ideally take into account the full performance history of the manager. This note reviews the major risk-adjusted performance measures, highlights deficiencies in the existing range of measures and proposes an alternative that attempts to achieve all three lofty goals in a performance measure.
SECURITY RISK MANAGEMENT AT THE COMPUTER CENTER OF X UNIVERSITY

The process of teaching and learning in an information technology based university cannot be separated from the accompanying information technology security risks. For that purpose, we need a risk analysis based on risk management standards that have been widely accepted and commonly used, such as NIST SP 800-30. The performed risk analysis is based on 10 domains of CISSP. So, there is synergy between the two standards that we employed. Besides, the synergy also occurs between the information technology security risks and the teaching and learning process. This paper presents how to create a questionnaire-based assessment of CISSP’s 10 domains mapped into NIST SP 800-30. In addition, this paper elaborates how the assessment of the questionnaires was executed and the result produced for X University. The research outputs that we generate are: a questionnaire-b ased assessment mapping CISSP’s 10 domains into NIST SP 800- 30, the ten major security risks that we discovered at the Computer Center of X University and the risk response planning to mitigate the discovered security risks.
An intelligent system for interpreting the nuclear refuelling process within an advanced gas-cooled reactor

Abstract Evaluation of the data produced during the refuelling process in a nuclear power plant is required to ensure proper ‘set-down’ of the fuel assembly, thereby allowing the continued and safe operation of the station. The process of evaluating the data can be time consuming owing to the large amounts of data requiring considerable domain experience and interpretation. This paper presents an intelligent system (IS) to automate the process of data analysis, thereby shortening the evaluation time and providing an explanation of the reasoning behind its conclusions. The intelligent system utilizes a knowledge-based system (KBS), neural network based classification, K-means clustering techniques and rule induction methods to evaluate the data and inform the operator of any errors encountered.
Added value of 3D-DRIVE and SWI Magnetic Resonance Imaging Sequences in Intraventricular Neurocysticercosis (IVNCC): An Institutional Experience from Northeast India

Background: Prompt diagnosis and early treatment institution are important in intraventricular neurocysticercosis (IVNCC) as compared to the parenchymal or racemose form because it is associated with a poorer patient prognosis. Intraventricular neurocysticercosis is often missed on CT scan or conventional cranial magnetic resonance imaging because of similar density or signal intensity of cysticercus lesion with cerebrospinal fluid.Thestudy aims to evaluate the added value of 3D-DRIVE and SWI MRI sequences in isolated intraventricular cysticercosis with acute neurological presentation. Methods and Materials: This retrospective study was carried out on diagnosed 10 patients with isolated intraventricular neurocysticercosis (IVNCC) presented to a tertiary care hospital with an acute onset of symptoms or acute neurological deficit between June 2019 to May 2021. Relevant neurological examination, CSF analysis, a serological test of neurocysticercosis and MRI scan of the brain were performed. Result: Tenpatients of isolated intraventricular neurocysticercosis (3 males and 7 females) having 3 pediatric and 7 adults were included in this study sample.The common neurological complications of the isolated intraventricular neurocysticercosis in this study are observed as obstructive hydrocephalus in 8(80%) patients and ependymitis in 7(70%) patients. IVNCC with distinctly visualized scolex (visibility score 2) identified in 2(20%) patients in T2WI, 8 (80%) patients in 3D-DRIVE and 3(30%) patients in SWI sequences. The cyst wall of IVNCC was distinctly visualized (visibility score 2) in 1(10%) patient in T2WI, 8(80%) patients in 3D-DRIVE and 6(60%) patients in SWI sequence. Conclusion: Heavily T2-weighted steady-state and SWI sequences should be added to routine MRI sequences that helps to identify IVNCC and should be used in patients with unexplained hydrocephalus, especially in endemic regions of Neurocysticercosis.
Consumer Ethnocentrism and Country of Origin: Effects on Online Consumer Purchase Behavior in Times of a Pandemic

Electronic commerce has shown exponential growth over the past decade, but the impact of COVID-19 has exceeded all expectations. Based on the theory of planned behavior, this paper aims to investigate the relationship between consumer ethnocentrism and internet purchase behavior in times of pandemics. Data was collected from 294 online purchasers, and the analysis was conducted utilizing a Partial Least Squares Structural Equation Modeling approach. The results indicate no significant impact on the relationship between the planned online purchase behavior and the country of origin when consumers face a health crisis. Additionally, the outcomes show that attitude toward online shopping positively affects online purchase behavior.
Confessions of a Virtual Team

This paper presents the various challenges faced when working in large, multi-disciplinary, geographically dispersed research teams. The team discussed here is part of a Smart Internet Technology Cooperative Research Centre project within the Banking and Finance domain in Australia. In this project, the challenge comes not only from its multi-disciplinary approach, but also overcoming geographical distances. These challenges are exacerbated by frequent changes in team members who have differing epistemological backgrounds. New members join the 'virtual team' at differing times in their research careers and in our project. As we are working at the intersections of different disciplines, it takes a long period of time to work with common frameworks and methodologies in our virtual team. To get to a level of connected thinking about the data, its analysis and subsequent interpretation is a challenge in itself. This paper discusses the issues faced by the people rather than the project domain. Those involved enter the 'virtual team'.
Gamification user types and game playing preferences of university students

Students' widespread use of games has attracted scientists' attention, and it has been a matter of curiosity whether games can be used in education. The primary purpose of this descriptive study is to examine gamification user types of university students. In addition, the digital game playing characteristics and preferences of students were identified. The participants comprised one hundred and eighty-one (181) university students enrolled at a state university in Turkey. An online questionnaire prepared by researchers and the Gamification User Types Hexad Scale were used as data collection tools. Descriptive statistics (mean, percentage, frequency), Kruskal Wallis H, and chi-square analysis were utilized for data analysis. The results revealed that the highest ratio of students stemmed from achievers, philanthropists, and players. Furthermore, participants mostly preferred to play online games, and most of the students played digital games daily. Keywords: Digital games, game preferences, game genre, gamification user types.
Endurance Training in Humans Modulates the Bacterial DNA Signature of Skeletal Muscle

Accumulating evidence supports the existence of a tissue microbiota, which may regulate the physiological function of tissues in normal and pathological states. To gain insight into the regulation of tissue-borne bacteria in physiological conditions, we quantified and sequenced the 16S rRNA gene in aseptically collected skeletal muscle and blood samples from eight healthy male individuals subjected to six weeks of endurance training. Potential contamination bias was evaluated and the taxa profiles of each tissue were established. We detected bacterial DNA in skeletal muscle and blood, with background noise levels of detected bacterial DNA considerably lower in control versus tissue samples. In both muscle and blood, Proteobacteria, Actinobacteria, Firmicutes and Bacteroidetes were the most prominent phyla. Endurance training changed the content of resident bacterial DNA in skeletal muscle but not in blood, with Pseudomonas being less abundant, and both Staphylococcus and Acinetobacter being more abundant in muscle after exercise. Our results provide evidence that endurance training specifically remodels the bacterial DNA profile of skeletal muscle in healthy young men. Future investigations may shed light on the physiological impact, if any, of training-induced changes in bacterial DNA in skeletal muscle.
The Effect of Multipath Propagation on Performance Limit of mmWave MIMO-Based Position, Orientation and Channel Estimation

Millimeter-wave (mmWave) massive antenna array has shown great potential in gaining high-accuracy localization for user equipments (UEs). Yet, mmWave signals suffer from non-line-of-sight (NLOS) propagation and fast time-scale fading in practice, which will affect UE localization performance. It is non-trivial to reveal the impact of multipath propagation and fast time-scale fading on mmWave-based localization, and gain guidelines for harnessing NLOS propagation. In this paper, we aim to provide a unified framework for performance analysis of mmWave-based UE localization and channel estimation. Firstly, closed-form Cramer-Rao lower bounds for UE localization and channel estimation, respectively, are derived to shed lights on their performance limits. Secondly, the effect of system elements (e.g., channel correlation and fast time-scale fading) on UE localization performance is quantitatively analyzed. In addition, information contribution from NLOS channel is quantified to reveal the impact of multipath propagation on UE localization. Finally, we show that the NLOS propagation-caused localization error can be alleviated by using a NLOS model folding-based localization scheme1, which strikes a balance between computational complexity and localization performance.
Theoretical and experimental analysis of microwave tunable recursive active filters using power dividers

It is shown how power dividers can be effectively employed in the design of microwave recursive filters in strict accordance with low-frequency principles. Analytical, computer-simulated, and experimental results are presented for an active recursive bandpass filter, and for a newly developed tunable recursive active filter employing a reflection-type microwave phase shifter and implemented on a Duroid substrate in the 2.75-3.75-GHz range. The last step in the filter design was to insert a classical reflection-type analog phase shifter structure directly into the recursive loop, to help in the realization of a tunable recursive response. Measured S-parameters of the circuits show excellent agreement with theoretical analysis. <<ETX>>
Improvised music follows human language quantitative properties to optimize music processing

Music is a cognitively demanding task. New tones override the previous tones in quick succession, with only a short window to process them. Language presents similar constraints on the brain. The cognitive constraints associated with language processing have been argued to promote the Chunk-and-Pass processing hypothesis and may influence the statistical regularities associated with word and phenome presentation that have been identified in language and are thought to allow optimal communication. If this hypothesis were true, then similar statistical properties should be identified in music as in language. By searching for real-life musical corpora, rather than relying on the artificial generation of musical stimuli, a novel approach to melodic fragmentation was developed specifically for a corpus comprised of improvisation transcriptions that represent a popular performance practice tradition from the 16th century. These improvisations were created by following a very detailed technique, which was disseminated through music tutorials and treatises across Europe during the 16th century. These music tutorials present a very precise methodology for improvisation, using a pre-defined vocabulary of melodic fragments (similar to modern jazz licks). I have found that these corpora follow two paramount, quantitative linguistics characteristics: (1) Zipf’s rank-frequency law and (2) Zipf’s abbreviation law. According to the working hypothesis, adherence to these laws ensures the optimal coding of the examined music corpora, which facilitates the improved cognitive processing for both the listener and the improviser. Although these statistical characteristics are not consciously implemented by the improviser, they might play a critical role in music processing for both the listener and the improviser.