Miracle-dz/UniFAR-FTUs huggingface dataset:
Deposition of colloidal metal nanoparticles on zinc oxide nanorods and their influence on visible photoluminescence

We examine the influence of colloidal Au and Ag nanoparticles (NP) on hydrothermally grown ZnO nanorods (NR). Individual 60 nm diameter NP and small NP assemblies without formation of large aggregates were deposited on poly-L-lysine covered NR films using the dip-coating method. The evaluation of morphological and optical properties of the obtained ZnO-metal hybrids was done using scanning electron microscopy, photoluminescence (PL) and diffuse reflection spectroscopy. The presence of Au NP selectively suppressed the PL components near 560 nm wavelength associated with ZnO surface defects, whereas equally sized Ag NP resulted in a much smaller change of PL signal, barely above the noise level. The presented results may be useful for tuning the optical properties of hybrid materials in development of sensor or photovoltaic devices.
Is working from home and neuroticism a successful combination for individual creativity during the Covid-19 pandemic?

The Covid-19 pandemic creates a unique context in which employees involuntary work from home. Organizations are forced to change tactics to adapt to the new context, in which they must rely on the individual creativity of employees. The quality of the home environment could enhance the individual creativity of employees, however, this is not the case for every personality trait. Based on prior literature, employees that have a high level of the personality trait neuroticism are more creative when engaged with negative emotions. In contrary, the quality of the environment creates a positive mood, that increases the individual creativity of low-level neuroticism employees. The aim of this study is (1) to determine whether the environmental quality positively influences the individual creativity of an employee working from home during the Covid-19 pandemic; (2) to determine whether neuroticism has a positive effect on individual creativity of an employee working from home during the Covid-19 pandemic; (3) to determine whether the (higher) lower environmental quality, the more a (low) high level of neuroticism enhances the individual creativity of an employee working from home during the Covid-19 pandemic. Based on the data of quantitative research at a singular organization, none of the stated hypotheses are supported. Overall, even without confirmed significant relationships, this research offers a novel view of both the environmental quality and neuroticism on individual creativity.
Vulvar Extramammary Paget Disease Detected by Cytology for Cervical Cancer Screening: A Case Report and Literature Review

Patient: Female, 77-year-old Final Diagnosis: Secondary extramammary Paget’s disease Symptoms: Erythema Medication:— Clinical Procedure: Biopsy Specialty: Dermatology • Obstetrics and Gynecology • Oncology • Urology Objective: Rare disease Background: Vulvar extramammary Paget disease (EMPD) with abnormal cervical cytology is extremely rare. We encountered a case of secondary EMPD derived from urothelial carcinoma diagnosed after cytological examination for cervical cancer screening. We diagnosed the case promptly owing to suspicion based on the patient’s medical history and vulvar appearance. We report the case and present a review of published cases of EMPD with abnormal cervical cytology. Case Report: A 77-year-old Japanese woman visited a hospital because cervical cancer screening raised the suspicion of adenocarcinoma. Findings of the cytological examinations of the cervix, endometrium, and urethral meatus corresponded to those of other malignant neoplasms of the Bethesda system. The patient had undergone total urethral cystectomy for urothelial carcinoma 5 years earlier. In our hospital, we found erythema extending from the urethral meatus to the vulva and performed a vulvar biopsy based on the suspicion of recurrence of the urothelial carcinoma. We diagnosed secondary EMPD derived from the urothelial carcinoma based on the findings of Paget cells in the epithelium and immunohistochemistry. Conclusions: A review of all the reported cases of EMPD with abnormal cervical cytology shows that the frequency of primary lesions is high in primary EMPD and secondary EMPD derived from urothelial carcinoma. These cases demonstrated the difficulty of suspecting EMPD based on cervical cytology alone. It should be considered that the cells derived from vulvar EMPD can be observed in cervical cytology, particularly in patients with a history of primary EMPD or urothelial carcinoma and with vulvar symptoms.
The Relationship between Social Capital and Soft Skills among University Students

This study aims at identifying the level of social capital to improve soft skills among university students in Malaysia. Social capital construct based on Putnam's [1] social capital theory. Social capital in this research refers to students' participation in community-based activities and university's clubs. Soft skills construct included university students' communication, leadership, teamwork, continuous learning, critical thinking, ethics and professionalism, and entrepreneurship skills. This study is a survey research design using a questionnaire instrument for data collection. The sample was chosen randomly, participating in a total of 264 university students in Malaysia. The study used descriptive analyses such as mean, standard deviation, t-test, and Pearson Correlation to analyze the data. The Statistical Package for the Social Sciences (SPSS) Version 23 was used for the data analysis The findings of study demonstrated that the majority of university students had moderate levels of both constructs, namely social capital and soft skills. Results from this study revealed that there was no significant difference in social capital based on Gender. However, the results of the study found there is a significant difference in soft skills based on Gender. Accordingly,' it has been found that male students had a higher soft skill compared to female students. Correlation analysis demonstrated that there was a significant positive relationship between social capital and soft skills. Overall, this study suggests the importance of social capital towards soft skills development.
Pilot Study on Students in Islamic Boarding Schools to Measure the Reliability and Validity of The Self-Regulation Scale

This study aims to conduct a trial to determine the validity and reliability of the self-regulation scale and determine what dimensions/aspects are considered capable of forming self-regulation variables. Validity and reliability tests are carried out to determine a measuring instrument’s level of accuracy and consistency. This self-regulation variable is measured by the seven dimensions of Miller & Brown (Neal & Carey, 2005), namely receiving, evaluating, triggering, searching, formulating, implementing, and assessing. Thirty-six students at Islamic boarding school X in Banyumas, Indonesia, were involved as participants. Analysis of the data used to measure validity using the corrected item-total correlation formula and reliability using Cronbach’s alpha, which was analyzed using SPSS version 25. The analysis results prove that from the seven dimensions of self-regulation, there are 25 valid items and have a reliability coefficient of 0.908. Thus, the self-regulation scale can be used for research.
Factor Analysis to Form Customer Satisfaction on Building Material Retail

This study aims to determine the factors that shape consumer satisfaction that focuses on retailed building materials. In this study, the case raised is based on retail business UD Semeru (UDS) in Surabaya. There are 27 variables used as factors that are assumed to form consumer satisfaction. The results of this study will be used by UDS to develop a strategic framework that shapes the success of UDS. This research will be based on quantitative research, and uses 71 people as samples. The analytical method that is used is exploratory factor analysis (EFA) by interpreting the data in SPSS application. The results of this study show that tangible factors are the main factor that forms UDS’s customer satisfaction, and the intangible factors show a supporting factor that forms UDS customer satisfaction.
Affine Projection Algorithm for Speech Enhancement using Controlled Projection Order

This research presents a development of the affine projection algorithm (APA) in voice communication applications. A method of controlling the parameters of the APA is devised to improve the performance in cancelling various types of ambient noise that could possibly corrupt speech signals in voice communication systems. Indicators are used to identify the type of noise accompanying the target signal. Then the corrupted signal is processed in a noise a cancellation setup in such a way that three parameters of algorithm are changed according to the nature of the noise. The spreading of elements in the covariance matrix of the noise is used as an indicator for the type of noise so that the projection order, step-size and filter length are changed at the same time. This way the performance of the canceller is improved rendering lower estimation error with a moderate computational power. The method was tested under various types of noise and showed better convergence performance than the original APA as well as other commonly used algorithms in noise cancellation systems. The MSE of the proposed VPAPA method drops to -65 dB in steady state compared to -20 dB using NLMS and just below -30 dB using standard APA with projection order of 8, while the powerful RLS reaches around -60dB under the same environment. The method can be useful for clearer voice communication in variable environmental noise.
Nutritional Characterizations Of Sycamore (Ficus Sycomorus) Fruits

The chemical composition, minerals content, physicochemical properties, microbiological aspects and antioxidant activity of sycamore fruit were evaluated. The results showed the fruits analysis included the levels of moisture, protein, fat, fiber, ash, carbohydrates and energy values. The highest mineral contents of sycamore fruits recorded for calcium, phosphorus and magnesium, with the mean values 385.50, 383.10 and 305.45 mg/100g, respectively. While, the lowest mineral contents of the fruits recorded for copper, sodium and potassium, with the mean values 1.30, 3.60 and 6.65 mg/100g, respectively. Sycamore fruit contained different amounts of anti-nutrition compounds such oxalate, tannin, saponin and phytate, with the mean values 2.80, 4.0, 1.6 and 1.85 mg/100g, respectively. Fruits contained different amounts of total phenols and total flavonoides, with the mean values 193.25 and 3.63 mg/100g, respectively. The highest phenolics compounds of dried sycamore fruit recorded for catechol and coumarin, while, the lowest which recorded for cinnamic and catechein. At the end of cold storage (6 months) the pH value, viscosity of sycamore jam recorded the lowest levels for titratable acidity, total sugar and reducing sugar. The value of total bacterial count and moulds & yeast of sycamore fruit jam increased a little during storage period. While, E. coli, Staphylococcus aureus and Salmonella sp did not detect.
A New Optimal DTC Switching Strategy for Open-End Windings Induction Machine using Dual Inverter

Since the early 1980s, fast torque dynamic control has been a subject of research in AC drives. To achieve superior torque dynamic control, two major techniques are used, namely Field Oriented Control (FOC) and Direct Torque Control (DTC), spurred on by rapid advances in embedded computing systems. Both approaches employ the space vector modulation (SVM) technique to perform the voltage source inverter into over modulation region for producing the fastest torque dynamic response. However, the motor current tends to increase beyond its limit (which can damage the power switches) during the torque dynamic condition, due to inappropriate flux level (i.e. at rated stator flux). Moreover, the torque dynamic response will be slower, particularly at high speed operations since the increase of stator flux will produce negative torque slopes more often. The proposed research aims to formulate an optimal switching modulator and produce the fastest torque dynamic response. In formulating the optimal switching modulator, the effects of selecting different voltage vectors on torque dynamic responses will be investigated. With greater number of voltage vectors offered in dual inverters, the identification of the most optimal voltage vectors for producing the fastest torque dynamic responses will be carried out based on the investigation. The main benefit of the proposed strategy is that it provides superior fast torque dynamic response which is the main requirements for many AC drive applications, e.g. traction drives, electric transportations and vehicles.
Identification of user’s credibility on twitter social networks

Twitter is one of the most influential social media platforms, facilitates the spreading of information in the form of text, images, and videos. However, the credibility of posted content is still trailed by an interrogation mark. Introduction: In this paper, a model has been developed for finding the user’s credibility based on the tweets which they had posted on Twitter social networks. The model consists of machine learning algorithms that assist not only in categorizing the tweets into credibility classes but also helps in finding user’s credibility ratings on the social media platform. Methods and results: The dataset and associated features of 100,000 tweets were extracted and pre-processed. Furthermore, the credibility class labelling of tweets was performed using four different human annotators. The meaning cloud and natural language understanding platforms were used for calculating the polarity, sentiment, and emotions score. The K-Means algorithm was applied for finding the clusters of tweets based on features set, whereas, random forest, support vector machine, naïve Bayes, K-nearest-neighbours (KNN), J48 decision tree, and multilayer perceptron were used for classifying the tweets into credibility classes. A significant level of accuracy, precision, and recall was provided by all the classifiers for all the given credibility classes.
Item Analysis of Multiple-choice Questions (MCQs): Assessment Tool For Quality Assurance Measures

Background: Integration of assessment with education is vital and ought to be performed regularly to enhance learning. There are many assessment methods like Multiple-choice Questions, Objective Structured Clinical Examination, Objective Structured Practical Examination, etc. The selection of the appropriate method is based on the curricula blueprint and the target competencies. Although MCQs has the capacity to test students’ higher cognition, critical appraising, problem-solving, data interpretation, and testing curricular contents in a short time, there are constraints in its analysis. The authors aim to accentuate some consequential points about psychometric analysis displaying its roles, assessing its validity and reliability in discriminating the examinee’s performance, and impart some guide to the faculty members when constructing their exam questions bank. Methods: Databases such as Google Scholar and PubMed were searched for freely accessible English articles published since 2010. Synonyms and keywords were used in the search. First, the abstracts of the articles were viewed and read to select suitable match, then full articles were perused and summarized. Finally, recapitulation of the relevant data was done to the best of the authors’ knowledge. Results: The searched articles showed the capacity of MCQs item analysis in assessing questions’ validity, reliability, its capacity in discriminating against the examinee’s performance and correct technical flaws for question bank construction. Conclusion: Item analysis is a statistical tool used to assess students’ performance on a test, identify underperformed items, and determine the root causes of this underperformance for improvement to ensure effective and accurate students’ competency judgment. Keywords: assessment, difficulty index, discrimination index, distractors, MCQ item analysis
Using the Eurotium cristatum Fungus for Preparing Fermented Herbal Teas

Background: The biological activities of dark Chinese teas are largely due to their microbial post-fermentation. Herbal teas are traditional Russian beverages that hold special value, owing to their taste and useful medicinal properties. However, no data are available in the literature on using microbial post-fermentation for enhancing their biological activity. The goal of this work was to demonstrate that the fungus Eurotium isolated from Chinese black teas can be used for the post-fermentation of herbal teas produced from bay willow and apple leaves. Methods: Eurotium cristatum was isolated from brick Chinese tea Fujan and identified using conventional methods of microbiology and molecular biology. Low molecular weight metabolites (phenols, amines, sugars, and amino acids) were determined by HPLC. E. cristatum was grown in association with the bacterium Bacillus amyloliquefaciens. Results: It was revealed to exhibit valuable biosynthetic features, such as a lack of mycotoxins, zero antimicrobial activity, and the capacity to synthesize neuroactive amines. B. amyloliquefaciens displayed a wide spectrum of antibiotic (antimicrobial and antifungal) activities that anifested themselves even with antibiotic-resistant bacteria). While growing on green unfermented tea (Camellia sp.) E. cristatum produced and modified neuroactive amines, such as dopamine, serotonin, and epinephrine. The fungus efficiently grew during the post-fermentation of herbal teas from both bay willow and apple leaves. Even though Camellia leaves substantially differed from bay willow and apple leaves in terms of phenol content, the growth of E. cristatum on Camellia was also sufficiently good. This suggests that the growth of Eurotium fungi is not influenced by the phenolic compounds. The data obtained on the composition of phenolic compounds, carbohydrates, and amino acids in the fermented plants and raw material provide evidence that the growth of the fungus proceeds depends on the hydrolysis of high molecular weight phenols and cell biopolymers in the fermented material. Conclusion: Thus, the ability of E. cristatum to grow on plant leaves of significantly different biochemical composition provides foundations for new technologies aiming to obtain post-fermented herbal teas with high biological activity that are enriched in low molecular weight compounds including biogenic amines.
Effects of Complex Phytoadaptogens in the Treatment of Experimental Periodontitis Associated with Chronic Stress

The aim of this study was to increase the effectiveness of complex treatment of periodontitis associated with chronic stress by including complex phytoadaptogens (CFA) as adjuvant therapy. The experiment was performed on 40 adult Wistar male rats, weighing 230±20 g, divided into four groups (n = 10): 1 – Control (healthy periodontium control); 2 LP+CD (ligature placement +high carbohydrate diet); 3 LP+CD+S (ligature placement + high carbohydrate diet+ chronic immobilization stress); 4 LP+CD+S+CFA (ligature placement + high carbohydrate diet+ chronic immobilization stress + complex phytoadaptogens). To assess the severity of inflammation process in periodontium histological structure of periodontium around the ligature was monitored and also developed index SP (severity of periodontitis) (p<0.05). Stress influence on adrenal glands was evaluated as they are the main stress responsive organs. Microcirculation disorders were monitored by Doppler ultrasound. The LP+CD group presented clinically lower intensity of the inflammatory process and fewer inflammatory cells in gingiva around fixed ligature and no changes in adrenal glands. Compared to the LP+CD group, LP+CD+S group showed a higher intensity of the inflammatory response, a greater bone loss (SP index 3 points), and a higher violation of periodontal structure and adrenal glands in D7 (P < 0.05). The LP+CD+S+CFA group presented intact periodontium and adrenal glands. The results prove that 28-day application of complex phytoadaptogens (CFA) reduce inflammation in periodontium associated with chronic stress, alveolar bone loss, normalizes microcirculation disorders and histological structure of gum and adrenal glands. Experimental article (J Int Dent Med Res 2021; 14(3): 988-995)
BIM-GIS INTEGRATION FOR TRAFFIC SAFETY IN CITIES

Abstract. This paper reports on the results and further extensions of a concept project that was financially supported by VINNOVA (Sweden’s innovation agency). The project aims, by integrating BIM and GIS, to support traffic safety and contribute towards decreasing the probability of car accidents in general and car-bicycle in more specific. The main objective of the project was to investigate different technologies that support the out- and indoor navigation of moving objects on building and geospatial city models based on BIM and GIS, and to present real life objects which help traffic users in taking better decisions. The concept study had a consortium of six partners (academic and industrial). The project resulted in a proposed solution to be implemented in the ongoing extension of the same project. The proposed solution is argued to be comprehensive that utilises BIM-GIS integration, their capabilities and Real Time Positioning Services (RTPS) for smart cities’ applications. Beside its scientific impact, it can be strongly argued that the proposed solution has a high potential for social-economic impact in creating the awareness and framework for automotive, light-weight vehicles manufacturers and automotive appliances suppliers to collaborate in facing this type of rising traffic problem. In addition to that, the open-source nature of the project will encourage different industrial parties to participate and re-utilize the project’s deliverables in new methods and ideas.
A DOMAIN ADAPTATION APPROACH FOR OFFENSIVE LANGUAGE DETECTION WITH BIDIRECTIONAL TRANSFORMERS

Oﬀensive language detection (OLD) has received increasing attention due to its societal impact. Recent work shows that bidirectional transformer (BERT) based methods obtain impressive performance on OLD. However, such methods usually rely on large OLD datasets for training. To address the issue of data scarcity in OLD, we propose an eﬀective domain adaptation approach to train bidirectional transformers. Our approach introduces domain adaptation to A Lite BERT (ALBERT), such that it can eﬀectively exploit auxiliary data from source domains to improve the OLD performance in a target domain. Two approaches to domain adaptation are taken. First, we use the auxiliary dataset in an unmodiﬁed manner. Next, we modify the auxiliary dataset labels to match the target labels. Experimental results show that the ﬁrst approach, ALBERT (SA), obtains state-of-the-art performance in most cases. Particularly, our approach signiﬁcantly beneﬁts underrepresented and underperforming classes, with an improvement of about 40% over ALBERT.