Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent hybrid approach to product design conceptualisation.

The increasing demand for better and cheaper products leads to the quest for even better designs as part of the overall product development strategy. Accordingly, companies in different geographical locations need to collaborate in order to realise shorter product life cycle, and hence shorter time to market. In order to assist designers in meeting this challenge in product development, conceptual design in particular, this work attempts to establish an intelligent hybrid approach to design analysis and design synthesis. The work proposes a new conceptual design paradigm known as design concept-capability mapping where past design data are used for the extraction of design rules. To facilitate the capturing of design knowledge comprising both functional design purpose and nonfunctional design purpose, a comprehensive design representation scheme known as Purpose-Behaviour-Structure has been proposed and developed. Past designs represented using the representation scheme are accessed by a rough set based approach for design rule extraction. The rough set based approach developed in this work is able to deal with four main issues in rule extraction, namely incomplete information, nondiscrete valued attributes, multiple decision attributes and incremental updating of rules. The approach is supported by mathematical proofs. Based on the approach and representation scheme developed, a framework of the conceptual design assistant (CDA) is proposed and realised. Two case studies are used to illustrate the capability of the CDA. It has been established that the CDA is able to fulfil the functions of design analysis and design synthesis. With the incorporation of the ability to update design rules incrementally, the CDA is expected to assist designers in design concepts analysis and generation at the earliest stage of product development. viii ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library
Characteristic of Oil Palm Activated Carbon Produced from Microwave and Conventional Heating

Malaysia has been acknowledged as one of the largest producer and exporter in the production of oil palm biomass. This is not surprisingly that industry contributes massive amount of the waste such as empty fruit bunches, palm mesocarpfibre, and palm kernel shell. This abundance of oil palm by-products make them an attractive source of raw material for the production of activated carbon. The activated carbon has been widely used in variety industries such as bio-catalyst, removal of toxic substance, purification of liquid and gas as well as catalyst support. The comparison of characteristic of oil palm activated carbon produced via microwave and conventional heating has been discussed in this paper. The characterization of the activated carbon includes elemental analysis, the Brunauer-Emmet-Teller (BET) surface area as well as Scanning Electron Microscopy (SEM) has been analyzed in this study.Hence, from the result, it shows that the SEM micrograph of oil palm shell (OPS) activated carbon prepared via microwave heating by using chemical activation produced the clearly and uniformly pore compared to full cavity and not well formed of pore in oil palm shell (OPS) activated carbon via conventional heating.
Identification of Atrial Fibrillation-Related lncRNA Based on Bioinformatic Analysis

Background Atrial fibrillation (AF) is the most common arrhythmia in the world. Long noncoding RNA (lncRNA) has been found to play an important role in cardiovascular diseases including heart failure, myocardial infarction, and atherosclerosis. However, the role of lncRNA in AF has rarely been studied. The purpose of this study is to identify the expression profile of lncRNA in AF patients, explore the function of lncRNA in AF, and provide a potential scientific basis for the treatment of AF in the future. Methods The lncRNA and mRNA expression profiles were obtained from the atrial appendage samples of GSE31821, GSE411774, GSE79768, and GSE115574 in the Gene Expression Omnibus (GEO) database. Functional analysis was performed via Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Variation Analysis (GSVA). The “CIBERSORT” R kit was used to analyze 22 immune cell infiltrates in AF and sinus rhythm (SR) patients. The “CORRPLOT” R package was used to analyze the immune correlation between lncRNA and immune cells. Results A total of 6 differentially expressed lncRNAs and 45 differentially expressed mRNAs were identified in the AF and SR groups. GO, KEGG, and GSVA results showed that abnormally expressed lncRNAs were involved in signaling pathways related to the atrium, including the Toll-like receptor signaling pathway and calcium signaling pathway. Immune cell infiltration analysis revealed that native B cells, follicular helper T cells, and resting dendritic cells may be involved in the AF process. In addition, LINC00844 was negatively correlated with resting dendritic cells. Conclusion The expression profile of lncRNA in AF patients was different from that in normal controls. The physiological functions of these differentially expressed lncRNAs may be related to the pathogenesis of AF, which provide a scientific basis for the prognosis and treatment of patients with AF.
COMPARISON OF DIFFERENT CONTROL STRATEGIES ON A VEHICLE USING SLIDING MODE CONTROL

Abstract– In this study, the vibration control of a half vehicle model with a passenger seat using a sliding mode control is considered. Three cases are taken into account as the control strategies. First, the model having passive suspensions with an active passenger seat is studied. Then active suspensions and passive seat combination is examined. In the last case, both the passenger seat and suspensions are active. Pitch motions of the vehicle body and bounce motions of the passenger in the three cases due to road input, which is a commonly used speed bump to slow down the vehicles at junctions in some countries, are simulated and the results are compared in order to select the combination which provides the best ride comfort.
Issue-Driven Features for Software Fault Prediction

Nowadays, software systems are an essential component of any modern industry. Unfortunately, the more complex software gets, the more likely it is to fail. A promising strategy is to use fault prediction models to predict which components may be faulty. Features are key factors to the success of the prediction, and thus extracting signiﬁcant features can improve the model’s accuracy. In the literature, software metrics are used as features to construct fault prediction models. A fault occurs when the software behaves differently than it is required to. However, software metrics are designed to measure the developed code rather than the requirements it meets. In this paper we present a novel paradigm to construct features that combine the software metrics as well as the details of the requirements, we call it Issue-Driven features . Evaluation, conducted on 86 open source projects, shows that issue-driven features are more accurate than state-of-the-art features.
NONINVASIVE CONTINUOUS GLUCOSE MONITORING ON AQUEOUS SOLUTIONS USING MICROWAVE SENSOR WITH MACHINE LEARNING

In this paper, an electrically-small microwave dipole sensor is used with machine learning algorithms to build a noninvasive continuous glucose monitoring (CGM) system. As a proof of concept, the sensor is used on aqueous (water-glucose) solutions with different glucose concentrations to check the sensitivity of the sensor. Knowledge-driven and data-driven approaches are used to extract features from the sensor’s signals reflected from the aqueous glucose solution. Machine learning is used to build the regression model in order to predict the actual glucose levels. Using more than 19 regression models, the results show a good accuracy with Root Mean Square Error of 1.6 and 1.7 by Matern 5/2 Gaussian Process Regression (GPR) algorithm using the reflection coefficient’s magnitude and phase.
PERANCANGAN DAN IMPLEMENTASI IMAGE-BASED VISUAL SERVOING PADA ROBOT KARTESIAN 2 DERAJAT KEBEBASAN BERBASIS PLC

Robot-robot industri memiliki kelemahan di berbagai lingkungan kerja di mana penempatan objek kerja tidak bisa dikontrol dengan akurat. Ini dikarenakan kurangnya kemampuan sensor joint pada robot-robot tersebut. Kalaupun dikehendaki integrasi sensor untuk meningkatkan akurasinya maka dibutuhkan biaya yang tinggi. Alternatifnya, digunakan sebuah umpanbalik visual untuk mengingkatkan akurasi keseluruhan sistem atau yang dikenal dengan visual servoing.Dalam penelitian ini dirancang sebuah sistem berumpanbalik visual yang hanya \ mendefinisikan error sebagai fungsi dari pergeseran fitur yang dijejak yaitu Image-Based Visual Servoing (IBVS). Perancangan ini diimplementasikan pada robot kartesian gantry dua derajat kebebasan dengan konfigurasi kamera eye-in-hand untuk keperluan pick and place. Fitur yang dijejak (feature tracking) oleh sensor visual adalah posisi garis tepi dari objek kerja. Dengan menggunakan metode pengaturan On-Off, dari percobaan diperoleh hasil bahwa sistem ini memiliki overshoot sebesar 6,6mm dan error keadaan tunak sebesar ± 3,34 mm.
Modelling the TQM enablers and IT resources in the ICT industry: an ISM-MICMAC approach

In the competitive market, information communication and technology ICT became the fastest growing sector in the world and it faces the quality improvement, problem with their products and services that hinder in achieving the leading position in the global market. The main issue related to the quality is to better understand the relationship between the total quality management TQM enablers and information technology IT resources which could enhance the performance of the ICT. The purpose of this study is to identify the TQM enablers along with IT resources and establish the contextual relationship among them by using interpretive structural modelling ISM and also to find out dependency and driving power of enabler/resource with the help of matrix of cross-impact multiplication applied to classification MICMAC analysis. The results of this study will help equip quality experts and managers in TQM and IT implementation in more effective and fruitful ways in ICT industries.
Cacatoo: building, exploring, and sharing spatially structured models of biological systems

In the field of ecology and evolution, a treasure trove of data has revealed the importance of spatial structure and biogeography. Despite these rich data sets, our conceptual understanding of how spatial structure shapes biodiversity, pathogenicity, and microbial pangenomes is lagging behind. For example, we only have a limited understanding of how interactions at the microscale (molecular machinery, bacteriophages, metabolism) scale up to define ecoevolutionary dynamics of microbial communities (Rainey & Quistad, 2020) and metaorganisms (Jaspers et al., 2019). To develop our intuition on these systems, I argue we need to embrace multiple levels and structural complexity in our models. Cacatoo is a toolbox developed to make it easy to design, explore, and share simulations of such systems. Simulations can be interactively explored from a web browser, allowing the user to change parameters and observe graphs in real-time. Cacatoo is designed to be both easy-to-use and extendable, making it suitable for beginners and experts alike. Because it requires no installation and works on practically every computer, it is also ideal for teaching purposes and student projects. In summary, Cacatoo provides opportunities for everyone to get involved in spatially structured modelling.
A Seven Step Framework for Encouraging Deeper Learning in Business Education

This essay examines what is necessary for business school professors to encourage deeper learning in their students. Business faculty (and academia in general) are improving student involvement by using pedagogies of engagement (e.g., problem-based learning, team-based learning, POGIL) or integrating techniques that improve engagement (e.g., flipped classes, reflective writing). Adoption of these approaches is a step forward, but little has been written about the specific factors across techniques and pedagogies that can actually deepen learning. This essay utilizes a seven-point framework for deeper learning, applies it to the teaching of managerial decision-making, and makes recommendations for fostering deeper learning among business school students. The authors cite specific examples of business school teaching that illustrate traditional methods and deeper learning methods. The goal of this paper, therefore, is to present seven factors (Ambrose, et al., 2010) that work to deepen student learning—independent of any specific pedagogy or adopted technique. These solutions span across any business school discipline and can be easily integrated into a college class to foster deeper learning.
Survey on non-isolated high-voltage step-up dc–dc topologies based on the boost converter

The major consideration in dc-dc conversion is often associated with high efficiency, reduced stresses involving semiconductors, low cost, simplicity and robustness of the involved topologies. In the last few years, high-step-up non-isolated dc-dc converters have become quite popular because of its wide applicability, especially considering that dc-ac converters must be typically supplied with high dc voltages. The conventional non-isolated boost converter is the most popular topology for this purpose, although the conversion efficiency is limited at high duty cycle values. In order to overcome such limitation and improve the conversion ratio, derived topologies can be found in numerous publications as possible solutions for the aforementioned applications. Within this context, this work intends to classify and review some of the most important non-isolated boost-based dc-dc converters. While many structures exist, they can be basically classified as converters with and without wide conversion ratio. Some of the main advantages and drawbacks regarding the existing approaches are also discussed. Finally, a proper comparison is established among the most significant converters regarding the voltage stress across the semiconductor elements, number of components and static gain.
Comparative Study of AODV, FSR and IERP on MANET using Grid topology

Over the recent many of years, the use of wireless networks has become very popular. A MANET is a collection of wireless mobile nodes without the use of any fixed network infrastructure or centralized administration networks. Each node in a MANET is free to move independently in any direction and will therefore change its links to other devices frequently. Each must forward traffic unrelated to its own use and therefore be a router. In this paper a performance comparison of three popular mobile ad-hoc network routing protocols i.e. Ad-hoc On-demand Distance Vector Routing (AODV),Interzone Routing Protocol (IERP) and Fisheye State Routing Protocol (FSRP) is presented with variable maximum speed with grid node placement. A network simulator QualNet 6.1 from scalable networks is used to evaluate the performance of these protocols. The performance analysis is based on different network metrics such as Average End to End delay (s), Average Jitter(s), Throughput and Packet delivery ratio.
Risk of Climate Variability on Tilapia Cage Culture in Songkhram River in Northeastern Thailand

The cage culture of Nile Tilapia in the river is one of the most important methods for Nile Tilapia (Oreochromis niloticus) farming in Thailand. Songkhram river is a significant river in north-eastern Thailand where Nile Tilapia river-based cage culture has been applied widely. However, river-based cage culture is an open culturing system where farmers do not fully control weather and water quality. This study investigates the risks of climate variability on Nile Tilapia in riv-er-based cage culture. This study recommends strategies to reduce fish yield losses. The samples of this study are the Nile Tilapia river-based cage culture farmers along the Songkhram river in 5 districts in Sakon Nakhon and Nakhon Phanom, including Thauthen, Khamtakla, Akatamnuai, Sisongkhram and Nathom. This study applies a simple random sampling method. We used structured questionnaires to collect the data from 148 fish farmers between April and December 2017. Hot weather during March and April was perceived to be the most important factor causing fish diseases and led to losses (68.2 %). The other significant factors that led to fish death were drought (52.7 %) and flood (40.5 %). Flood typically takes place between June and August. Cold weather was perceived not to affect the fish losses (32.4 %). However, it did affect the growth rate. Cold weather typically takes place between December and February. Re-garding the hot weather, fish farmers applied preventive measures such as mon-itoring and surveillance, stopping or delaying stocking schedules. For drought, the fish farmers relocated the cages towards the deeper water areas and used aerators to control water quality. Most farmers tie their cages securely during flooding season and relocate them closer to the bank. The fish farmers moni-tored their cages more closely than usual for the cold weather and postponed the stocking date. The study of risks and loss mitigation from climate variabilities in this research will be helpful for strategic aquaculture planning to cope with cli-mate variabilities in the future.
The Correlation between Night Sleep Duration and Physical Activity with Cardiorespiratory Fitness Test Results in Healthy Medical College Students: a Pilot Study

Lack of sleep is the risk factor for a cardiovascular event and low cardiorespiratory endurance. Medical college students are more frequent in experiencing a lack of sleep due to their duty. This study evaluated the correlation between lack of sleep and cardiorespiratory endurance test results in medical college students. This cross-sectional study involved sixty-two males, medical college students. Sleep duration of two weeks was assessed using a validated questionnaire. Queen College Step test was employed for a cardiorespiratory endurance test. Spearman rank test was employed to evaluate the correlation between variables, while logistic regression was applied to assess the possibility of having a good VO2max. SPSS version 19 was used to process the data and perform a statistical test. Significance was set at p<0.05. The mean sleep duration was 6.2 hours, with more students having insufficient sleep duration (51 participants). The mean VO2max was 50.4 ml/kg/min, with more students having good VO2max (50 participants). Spearman rank test indicated the weak correlation between age and sleep (r=0.2, p=0.04) and a moderate correlation between physical activity and VO2max (r=0.43, p<0.01). No correlation between sleep and VO2max result (p=0.07). Logistic regression showed sufficient physical activity is associated with 14.5 times possibility of having good VO2max (95% CI 2.7-77.8, p=0.02). The correlation between sleep and the VO2max result was not evident. Instead, sleep was associated with students’ age while VO2max with sufficient physical activity.
One Hundred Years of Coat Colour Influences on Genetic Diversity in the Process of Development of a Composite Horse Breed

Genetic diversity and demographic parameters were computed to evaluate the historic effects of coat colour segregation in the process of configuration of the Hispano-Arabian horse (Há). Pedigree records from 207,100 individuals born between 1884 and 2019 were used. Although coat colour is not a determinant for the admission of Hispano-Arabian individuals as apt for breeding, it may provide a representative visual insight into the gene contribution of Spanish Purebred horses (PRE), given many of the dilution genes described in Há are not present in the Arabian Purebred breed (PRá). The lack of consideration of coat colour inheritance patterns by the entities in charge of individual registration and the dodging behaviour of breeders towards the historic banning policies, may have acted as a buffer for diversity loss (lower than 8%). Inbreeding levels ranged from 1.81% in smokey cream horses to 8.80 for white horses. Contextually, crossbred breeding may increase the likelihood for double dilute combinations to occur as denoted by the increased number of Há horses displaying Pearl coats (53 Há against 3 PRE and 0 PRá). Bans against certain coat colours and patterns may have prevented an appropriate registration of genealogical information from the 4th generation onwards for decades. This may have brought about the elongation of generation intervals. Breeder tastes may have returned to the formerly officially-recognised coat colours (Grey and Bay) and Chestnut/Sorrel. However, coat colour conditioning effects must be evaluated timely for relatively short specific periods, as these may describe cyclic patterns already described in owners’ and breeders’ tastes over the centuries.
Klasifikasi Kebakaran Hutan dan Lahan Menggunakan Algoritma Naïve Bayes (Studi Kasus: Provinsi Riau)

Forest and land fires that occurred in Indonesia have caused many losses for the community. Forest fires generally occur in August and September, coinciding with the dry season in most parts of Indonesia. One indicator of the occurrence of forest fires is hotspots. This study uses one of the data mining techniques, namely classifying hotspots in Riau Province. This study used a dataset of forest fires in Pelalawan Regency from 2015 to 2019 using the Naïve Bayes algorithm. The hot spots to be analyzed consist of temperature, humidity, rainfall, wind speed
A Dictionary of the Old-Irish Glosses in the Milan Codex Ambrosianus C 301 Locus Corrected

076a05 . i. asberar arthormuch pectha atan druáilnidi som 7 ata pecthaig cid intan nad coimnactarsom inpecad nisin etir· MS has pecad, as in Ascoli, not peccad, as in Thes Pal. i.e. it is said for the increase of sin that they are corrupt and that they are sinful, even when they were incapable of that sin at all. 076a06 . i. cid indaimser indat sláin ennaic som . i. noidenacht níeperr buith cen pecad doib intainsin. , MS has pecad, as in Ascoli, not peccad, as in Thes Pal. i.e. even the time in which they are sound innocent (salui innocentes), i.e. infancy, it is not said that they are without sin at that time. 076c05 . i. buith etir innenncu [leg. innaenncu] MS has enncu, not encu, as in Ascoli and Thes Pal. i.e. to be among the innocent.
Rheumatoid Arthritis Saudi Database (RASD): Disease Characteristics and Remission Rates in a Tertiary Care Center

Background: National Registries are essential to direct current practice. Rheumatoid arthritis (RA) registries in the middle east and North Africa remain scarcely represented. Objective: To describe a population of Saudi RA patients and to compare the findings to internationally reported data. Methods: This is an observational study that was conducted at Doctor Soliman Fakeeh Hospital (DSFH) in Saudi Arabia. The study ran from 2014 to 2018 using a pool of 433 patients. Inclusion criteria included adults older than 18 years of age who fulfilled the 2010 American College of Rheumatology criteria for the diagnosis of RA and who were also regular visitors in our rheumatology clinics. Data were collected directly from patients and entered in a specially designed program. Results: At initial presentation, 45.5% had demonstrated active disease (moderate or high disease activity) based on DAS-28-CRP scores, while 54.5% were in low disease activity or remission. The remission rates after 1 year had increased to 79.6% (345 patients), while 9.7% (42 patients) and 10.6% (46 patients) had low disease activity and moderate disease activity, respectively. It was also found that the female gender, higher Health Assessment Questionnaire-Disability Index (HAQ-DI) and longer lag1/lag2 periods were associated with higher disease activity in our population. Conclusion: We detected higher remission rates at 1 year of follow-up. This could be attributed to many factors, including good referral systems with easier access to biologics. We aim to expand this registry to the national level.