Miracle-dz/UniFAR-FTUs huggingface dataset:
Early Detection of Dengue Disease Using Extreme Learning Machine

Dengue disease is one of the serious and dangerous diseases that cause many mortality and spread in most area in Indonesia. There are about 201,885 cases had been reported in 2016 including 1,585 death cases. The availability of nowadays clinical data of Dengue disease can be used to train machine learning algorithm in order to automaticaly detect the present of Dengue disease of the patients. This study will use the Extreme Learning Machine (ELM) method to classify the dengue by using the clinical data so that first aid can be given which can decrease some death risk. The back propagation neural network is one of the popular machine learning technique that capable of learning some complex relationship and had been used in many applications. However, back propagation neural network still suffers with some limitations such as slow convergence and easily getting stuck in local minima during training. Therefore, this research proposed an improved algorithm known as ELM which is an extension of Feed Forward Neural Network that utilize the Moore Penrose Pseudoinver matrix that gain the optimal weights of neural network architecture. The proposed ELM prevents several backpropagation issues by reducing the used of many parameters that solves the main drawbacks of Backpropagation algorithm that uses during the training phase of Neural Network. The result shows that the proposed ELM with selected clinical features can produce best generalization performance and can predict accurately with 96.94% accuracy. The proposed algorithm achieves better with faster convergence rate than the existing state-of-the-art hierarchical learning techniques. Therefore, the proposed ELM model can be considered as an alternative algorithm to apply for early detection of Dengue disease.
Multi-Level Resistive Switching in SnSe/SrTiO3 Heterostructure Based Memristor Device

Multilevel resistive switching in memristive devices is vital for applications in non-volatile memory and neuromorphic computing. In this study, we report on the multilevel resistive switching characteristics in SnSe/SrTiO3(STO) heterojunction-based memory devices with silver (Ag) and copper (Cu) top electrodes. The SnSe/STO-based memory devices present bipolar resistive switching (RS) with two orders of magnitude on/off ratio, which is reliable and stable. Moreover, multilevel state switching is achieved in the devices by sweeping voltage with current compliance to SET the device from high resistance state (HRS) to low resistance state (LRS) and RESET from LRS to HRS by voltage pulses without compliance current. With Ag and Cu top electrodes, respectively, eight and six levels of resistance switching were demonstrated in the SnSe/SrTiO3 heterostructures with a Pt bottom electrode. These results suggest that a SnSe/STO heterojunction-based memristor is promising for applications in neuromorphic computing as a synaptic device.
Impacts of COVID-19 crisis on innovative work behaviour in Vietnam

Adapted from current literature, this study develops the model of the relationship between knowledge sharing and innovative work behaviour with the promotion of trust, Organizational Rewards system, Management Support in Vietnam. The author builds hypotheses based on the literature review and presents an integrated research framework. This study focuses on how innovative work behaviour can help firms survive during the COVID-19 crisis. We take insights into previous crises through evaluating popular articles and identifying fundamental innovation management mechanisms that could be efficient in the open-ended COVID-19 crisis to achieve this objective. In addition, our review of a large body of literature highlights several knowledge sharing mechanisms that may support small and medium enterprises (SMEs) to cope with the COVID-19 crisis. The consulted empirical studies demonstrated that trust, reward, and management support positively impact explicit knowledge sharing and tacit knowledge sharing. At the same time, innovative work behaviour is driven by knowledge sharing and tacit knowledge sharing. Our research results have produced some practical significance and contribute to stimulating the power of knowledge sharing and innovative work for sustainable development in Vietnam. The widespread crisis activated unprecedented changes in how firms are administered and managed. Therefore, firms can adjust them to form the business sustainable and resilient using the suggestions made by considering our findings. To the best of the authors’ knowledge, this is the first study to explore the impact of the pandemic and analyse firms’ responses to the crisis in management innovation in a Vietnamese context.
Adaptive Lenses Based on Soft Electroactive Materials

Soft electroactive materials including dielectric elastomer actuators (DEAs) and polyvinyl chloride (PVC) gels have recently been extensively investigated. These smart materials can effectively respond to an electric field, resulting in shape deformation. In addition to artificial muscles, actuators, sensors, and micro-electromechanical systems, they can be used to prepare various adaptive lenses with unique features such as a simple fabrication, compact structure, good flexibility, and light weight. In contrast to DEAs, PVC gels can provide exciting opportunities for emerging applications in imaging, sensing, optical communication, biomedical engineering, and displays. In this review paper, the underlying physical mechanisms of these two electroactive materials are explained first, and then some recent progress in their application in macro-sized lenses and microlens arrays is presented. Finally, future perspectives of the PVC gels are discussed.
D,L-Lysine-Acetylsalicylate + Glycine (LASAG) Reduces SARS-CoV-2 Replication and Shows an Additive Effect with Remdesivir

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing the coronavirus disease-19 (COVID-19) is still challenging healthcare systems and societies worldwide. While vaccines are available, therapeutic strategies are developing and need to be adapted to each patient. Many clinical approaches focus on the repurposing of approved therapeutics against other diseases. However, the efficacy of these compounds on viral infection or even harmful secondary effects in the context of SARS-CoV-2 infection are sparsely investigated. Similarly, adverse effects of commonly used therapeutics against lifestyle diseases have not been studied in detail. Using mono cell culture systems and a more complex chip model, we investigated the effects of the acetylsalicylic acid (ASA) salt D,L-lysine-acetylsalicylate + glycine (LASAG) on SARS-CoV-2 infection in vitro. ASA is commonly known as Aspirin® and is one of the most frequently used medications worldwide. Our data indicate an inhibitory effect of LASAG on SARS-CoV-2 replication and SARS-CoV-2-induced expression of pro-inflammatory cytokines and coagulation factors. Remarkably, our data point to an additive effect of the combination of LASAG and the antiviral acting drug remdesivir on SARS-CoV-2 replication in vitro.
Prediction Model for Urinary Tract Infection in Pediatric Urological Surgery Patients

Background Urinary tract infection (UTI) is a common complication in pediatric urological surgery patients and is associated with long-term sequelae, including subsequent recurrent infections and renal scarring. In this study, we aimed to explore the risk factors for UTI in pediatric urological surgery patients and construct a predictive model for UTI. Materials and Methods A total of 2,235 pediatric patients who underwent urological surgery at a tertiary hospital between February 2019 and January 2020 were included. A multivariate logistic regression model was applied to identify the predictive factors, and a predictive model was constructed using a receiver operating characteristic curve. A multifactorial predictive model was used to categorize the risk of UTI based on the weight of the evidence. Results A total of 341 patients with UTI were identified, which corresponded to a prevalence of 15.26% in pediatric urological surgery patients. Multivariate analysis identified six significant risk factors for UTI, including age <12.0 months, upper urinary tract disease, not using an indwelling drainage tube, hospital stay ≥10 days, administration of two or more types of antibiotics, and stent implantation. A combination of the aforementioned factors produced an area under the curve value of 88.37% for preventing UTI in pediatric urological surgery patients. A multifactorial predictive model was created based on the combination of these factors. Conclusions The constructed multifactorial model could predict UTI risk in pediatric urological surgery patients with a relatively high predictive value.
Testing the monophyly of Chaetarthriinae (Coleoptera, Hydrophilidae) and the phylogenetic position of Guyanobius with larval characters

The subfamily Chaetarthriinae includes morphologically distinct larvae that are adapted to a diversity of environments. Based on larval characters, cladistic analyses (maximum parsimony (MP) and Bayesian inference (BI) with homoplasy as a partitioning scheme) were performed to test the monophyly of the subfamily and the relationships of the two tribes included in it: Chaetarthriini and Anacaenini. The chaetotaxy of a third instar larva Guyanobius adocetus is described and illustrated in detail, including morphometric characters. This larva is compared to those of the known larvae of the tribe Chaetarthriini belonging to the genus Chaetarthria, and Pseudorygmodus, Crenitis, and Crenitulus from Anacaenini. None of the unconstrained analyses recover Chaetarthriinae as monophyletic. Chaetarthria diverges in an early branch, probably due to a series of unique morphological modifications associated with a riparian lifestyle whereas Guyanobius appears closely related to Anacaenini. Two alternative positions of Guyanobius are revealed: (1) as sister of all Anacaenini (unconstrained MP) or (2) nested within Anacaenini as sister of Crenitis + Crenitulus (constrained MP and unconstrained BI). The genera Paracymus and Tormus (tribe Laccobiini) diverge as two successive branches subordinate to Chaetarthriinae (excluding Chaetarthria) in the unconstrained MP analysis. However, the support is rather weak, and the position of Paracymus and Tormus is an artifact produced by some homoplastic characters. In this regard, homoplasy partitioning resulted a useful technique to solve some artifacts generated by convergent morphologies.
Subjective Wellbeing in Rural and Urban Central Europe: Evidence from the European Social Survey (2008 and 2018)

Abstract Social surveys on wellbeing have been increasingly including measures of subjective wellbeing, alongside more often used objective ones, as they show the importance of a more comprehensive approach to understanding what constitutes good and happy lives. This paper relies on the European Social Survey (ESS) data from Round 4 (2008) and Round 9 (2018) to analyze and compare subjective wellbeing (SWB) in rural and urban areas of eight Central European countries: Austria, Croatia, the Czech Republic, Germany, Hungary, Poland, Slovenia, and Slovakia. Based on available ESS items, we have constructed a more concise version of the VanderWeele et al.’s Flourishing Index, which we termed the Subjective Wellbeing Index (SWI), and which includes the following domains: (1) happiness and life satisfaction, (2) mental and physical health, and (3) financial and material stability. The main results indicate that all eight CE countries have relatively high and improving SWI scores, but stable relational position over the ten-year period. When looking at the rural-urban subsamples, all countries scored higher on the SWI in urban areas in 2008, with significant improvements in the rural areas of more affluent EU countries by 2018 as Austrian, Czech and German rural areas exhibited higher SWI scores than their urban counterparts.
Challenges to and opportunities for establishing a qualitative approach to Built Environment research in higher education institutions

Purpose There are serious implications for adopting inappropriate research strategies and methods, and this is evident in the Built Environment (BE) given the under adoption of qualitative strategies in some countries. Therefore, based on empirical evidence from Nigeria, the purpose of this study is to examine the challenges to and opportunities for establishing Qualitative Approach (QA) to BE research in higher education institutions (HEIs) and to develop an improvement framework for QA. Design/methodology/approach Academics and research students in the BE research of Nigerian HEIs were interviewed and the data analysed thematically. Based on the findings, including recommendations from the respondents, a framework for improving the use of QA in BE research was developed and academics evaluated it for workability. Findings This study reveals that the challenges to QA in BE research include information constraints, socio-cultural issues and the negative attitudes of senior academics to QA. The opportunities include the realisation for a paradigm shift, the characteristics of the socio-cultural context and features of BE and the general potentials of QA. The proposed framework encompasses encouraging and providing a platform for international collaboration between academics in developing and developed countries, and preferential treatment for QA. It also enables regulatory and incentive mechanisms, which will act as drivers. Practical implications This study provides stakeholders in academia with knowledge and a detailed guideline for establishing QA to research in the BE. Originality/value This study provides a country context-based detailed guide for establishing QA in HEIs BE research towards ensuring that research strategies adopted in BE research are fit for purpose, in turn are aligned to addressing problems in the society. There is little or no study of this nature in BE.
Model Driven Re-engineering with the Fields of Re- structuring: Software Quality Assurance Theory

Due to developing trend for the reliability of software with new and advanced features, reengineering is core demand of this age. For the purpose of assurance of proposal validity, a huge analysis of existing approaches with proper referencing performed and proposed a new generalized model based theory. In this paper, phases of reengineering as core of restructuring and refactoring, reverse and forward engineering is going to be discussed with the objective of quality and user requirements. Restructuring covers the areas as code patterns, object-oriented patterns, an architecture for the extraction of design and restructured documents generated. By the restructure of data, an advanced product with more features can be obtained by passing all steps of forwarding engineering. Code smells removing with the improvement in reliability and user trust refactoring process provided great help. If user required quality features needed to add in existing software we perform reverse engineering. This theory suggested a generalized approach (fig2) with all types of interconnections among the areas of re-engineering and provided a solution by testing user needs according to proposed requirements that are quality definition. Future work leads to comparison among all techniques of code restructuring with requirements elicitation terms, and a general proposed approach needed.
Age-Related Decline of Speech Perception

Hearing loss is one of the most common disorders worldwide. It affects communicative abilities in all age groups. However, it is well known that elderly people suffer more frequently from hearing loss. Two different model approaches were employed: A generalised linear model and a random forest regression model were used to quantify the relationship between pure-tone hearing loss, age, and speech perception. Both models were applied to a large clinical data set of 19,801 ears, covering all degrees of hearing loss. They allow the estimation of age-related decline in speech recognition for different types of audiograms. Our results show that speech scores depend on the specific type of hearing loss and life decade. We found age effects for all degrees of hearing loss. A deterioration in speech recognition of up to 25 percentage points across the whole life span was observed for constant pure-tone thresholds. The largest decrease was 10 percentage points per life decade. This age-related decline in speech recognition cannot be explained by elevated hearing thresholds as measured by pure-tone audiometry.
Misconceptions in Rational Numbers, Probability, Algebra, and Geometry.

In this study, the author examined the relationship of probability misconceptions to algebra, geometry, and rational number misconceptions and investigated the potential of probability instruction as an intervention to address misconceptions in all 4 content areas. Through a review of literature, 5 fundamental concepts were identified that, if misunderstood, create persistent difficulties across content areas: rational number meaning, additive/multiplicative structures, absolute/relative comparison, variable meaning, and spatial reasoning misconceptions. Probability instruction naturally provides concrete, authentic experiences that engage students with abstract mathematical concepts, establish relationships between mathematical topics, and connect inter-related problem solving strategies. The intervention consisted of five probability lessons about counting principles, randomness, independent and dependent event probability, and probability distributions. The unit lasted approximately two weeks. This study used mixed methodology to analyze data from a randomly assigned sample of students from an untreated control group design with a switching replication. Document analysis was used to examine patterns in student responses to items on the mathematics knowledge test. Multiple imputation was used to account for missing data.
Association of Allostatic Load and All Cancer Risk in the SWAN Cohort

Simple Summary Chronic stress has been linked to increased risks for many chronic diseases. However, its contribution to cancer risk is still unclear. In this study, we analyzed the association between allostatic load (AL), a biomarker of chronic stress, and cancer risk, in the Study of Women’s Health Across the Nation (SWAN). We found that women with the highest levels of AL had a 64% increased risk of overall cancer. And the association was independent of demographics, healthy behaviors, and socioeconomic factors. In summary, we provide evidence that chronic stress may increase the risk of cancer. Abstract Elevated chronic stress is thought to increase cancer risk, though the results so far have been inconsistent. In this study, we assessed the relationship between allostatic load (AL), a biological indicator of chronic stress, and overall cancer risk in 3015 women who participated in the Study of Women’s Health Across the Nation (SWAN). Based on the distribution of AL, the study population was categorized into four groups, from the lowest (1st category) to the highest AL group (4th category). At baseline, African American and Hispanic women were more likely to be in the higher AL categories than White women (p < 0.001). In addition, women who smoked regularly, drank alcohol regularly, had no leisure physical activity, and had restless sleep were also more likely to be in the higher AL categories than their relative counterparts (p < 0.001). We also observed that women in the lower-income category with no health insurance were more likely to be in the higher AL category (p < 0.001). The study then found that women in the 4th category of AL (the highest AL group) had a 1.64-fold increased risk of overall cancer (Hazard ratio (HR): 1.64, 95% confidence interval (CI): 1.04, 2.59). The risk association was further strengthened after adjusting demographics, healthy behaviors, and socioeconomic factors with an HR of 2.08. In further analysis of individual biomarkers of AL score, we found that higher levels of triglyceride and CRP were associated with increased risk of cancer, highlighting the role of metabolic dysfunction and inflammation in the etiology of cancer development. In summary, we report that higher AL is associated with increased cancer risk.
Microstructural Effects in the Development of Near-Neutral pH Stress Corrosion Cracks in Pipelines

The corrosion and stress corrosion cracking (SCC) behaviors of 20#, X60, and X80 pipeline steels in a near-neutral pH environment were investigated by means of electrochemical measurement, immersion test, and interrupted slow strain rate tensile (SSRT) test. The propensity for SCC, as indicated by the stress threshold value for crack initiation, was found to be dependent on the type of steel microstructure. Cracks were initiated in the high-strength steel X80 at a stress less than its yield strength, whereas in the other lower-grade steels, the initiation of cracks occurred after the yielding point. The threshold stress of SCC initiation in the near-neutral pH environment for 20#, X60, and X80 steels were 130.64% σys, 106.79% σys, and 86.92% σys, respectively. The SCC of 20# and X60 were characterized by the formation of transgranular and intergranular cracks, while X80 steel was only by transgranular cracking. The occurrence of corrosion had a great effect on crack initiation and the growth at the later stage. The latter involved hydrogen effects. A correlation between SCC sensitivity and the yield strength of the steel has been identified.
Performance and Exhaust Emission Optimization of a Dual Fuel Engine by Response Surface Methodology

A central composite face-centered design (CCFD) was employed to examine the optimal conditions for the compression ratio of the Sardine Fish Oil Methyl Ester (SFOME) blend to the Thermal cracked Cashew Shell Nut Liquid T-CSNL blend by simultaneously considering the brake thermal efficiency (BTE), the brake specific fuel consumption (BSFC), carbon monoxide (CO), hydrocarbon (HC), and nitrogen oxide (NOx) emissions as response variables. The experimental results obtained were analyzed with the help of Design Expert software, and output response predictions were fitted with a polynomial quadratic model of the second degree. The maximum overall desirability obtained for the entire model was 0.7506 with a compression ratio of 19.31 and blend ratios of 20% for SFOME and 15.72% for T-CSNL by volume proportion. Under optimum conditions, it was found that the predicted and experimental results were very similar, and it can be concluded that the quadratic model of second-order can precisely predict the performance and emission characteristics of engines.
Interest of periodontal maintenance in improving autoimmune diseases: about an oral lichen planus case report

Introduction: Oral lichen planus is an autoimmune inflammatory disease. These clinical manifestations can sometimes be confused and cumulated with clinical signs of periodontal disorders. The aim of this work is to illustrate the interest of a periodontal follow-up in the management of oral lichen planus by a clinical case report. Observation: A patient came for a consultation in dermatology for a persistent gingival erythema. The diagnosis of oral lichen planus was made and treatments were successively implemented. After six months of follow-up, an inflammatory gum was still present without showing improvement. A stage 3, grade B periodontitis associated with oral lichen planus was diagnosed and a periodontal treatment was initiated, combined with corticosteroids treatment as mouthwash. Four months after the beginning of this treatment, a marked decrease in gingival erythema was observed. Comments: There is often a close relationship between oral lichen planus and periodontal disease therefore a multidisciplinary approach can be very useful for optimal management.