Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Family of Soft Single Switched DC-DC Converters with Lossless Passive Snubber

In this paper, a novel lossless snubber is introduced that provides ZVS conditions for both On and Off instant of converter switches. On one hand, the energy of the snubber is optimally transmitted to the output so that no significant losses are imposed on the converter. Since the converter diodes are switched off as ZCS, the reverse recovery problem is reduced. In this paper, the proposed snubber circuit is applied to a conventional boost converter and an 80W sample is constructed in the laboratory to prove the performance and theoretical analysis. Furthermore, in order to confirm the effectiveness of the proposed snubber on the reduction of Electromagnetic Interference (EMI), the EMI value of the boost converter with the proposed snubber has been compared with the conventional boost converter, which shows a decrease of 10dBμV.
Comments Prediction Model on Emotional Analysis Based on Bayes Classification

The comments of e-commerce platform are the information feedback of users on the purchase of goods, which shows the concerns and emotional tendencies of the commodity. The research has important research value for enterprises. In this paper, we constructed the analysis model of e-commerce comments. Firstly, reptile obtained data to segment word segmentation, and then use the characteristics of the initial selection model to review data and transfer matrix conversion, using Bayes probability model to prediction work, finally through the prediction error to select the optimal characteristics of the model. Through the empirical study of the commentary data of BOE, the results show the method is effective, and has better performance and higher classification accuracy.
Nanotechnology and its impact on Medical diagnosis

This research paper is the to study the Nanoparticle devices and its application in medical field especially diagnostic as well as disease treatment process of cancer and heart diseases. Application of Nano devices such as cantilevers, which are highly sensitive detectors. Another Nanoparticle which is to be prime focus of the study is the gold Nanoparticle and their uses in the cancer and heart diseases. It is to summarize all different types of gold Nanoparticle and the art of design in different cases. It is almost observed from last four decades there is continuous efforts are made to eradicate Cancer at least scientist makes the perfect medicine for the deadly disease. Accurate diagnosis, early detection are the two main important factors which are directly related with the personalized treatment of the cancer. Here we study the importance of the Nanoparticles (Gold Nanoparticles) application in the early detection, accurate diagnosis and targeted drug delivery for the treatment process of the cancer. Nanoparticles based agents has multiple functionalities. Therefore, research paper makes an attempt to collect all the different usage finds the area where it can be game changer in the medicine field. Bio-sensing property of the gold Nanoparticles are understood and their application in cancer diagnosis and treatment. However, the applications of the gold Nano-biosensor in the imaging of the cardiovascular diseases (CVD) is the latest studies which will be the prime interest of the research. This research paper would bring the attention of the medical researcher to make the contribution to make the application of the gold Nano-biosensors in CVD’s to make the imaging better. This paper summarizes review of recent advancement in the technology.
Chemical composition and antibacterial activity of Origanum ramonense essential oil on the β-lactamase and extended- spectrum β-lactamase urinary tract isolates

<p class="Abstract">The aim of this study was to evaluate the antibacterial activity of <em>Origanum ramonense</em> essential oil extracted from the air-dried leaves against β-lactamase and extended-spectrum β-lactamase obtained from the patients with urinary tract infection. The essential oil was extracted by hydrodistillation and analyzed by GC–MS. In vitro antibacterial activity was studied using disc diffusion and microdilution methods. Twenty compounds were identified representing 97.8% of the total oil. The major components were carvacrol (84.6%), p-cymene (4.3%) and γ-terpinene (3.3%). The oil showed a broad spectrum of antibacterial activity against all tested isolates. <em>Staphylococcus aureus, S. epidermidis, Klebsiella pneumoniae</em> and <em>Enterobacter aerogenes</em> had the lowest minimum inhibitory concentration values (0.015 µg/mL) followed by <em>Escherichia coli</em> (0.14 µg/mL). The lowest susceptible strains to oil were <em>Pseudomonas aeruginosa, Proteus mirabilis, E. coli</em> 25922 and <em>P. aeruginosa</em> 10145. The bacteriostatic and bactericidal effects at concentrations as low as 0.015 µg/mL indicated the potent antibacterial activity of <em>O. ramonense</em>. </p><p><strong>Video Clip of Methodology:</strong></p><p>Disc Diffusion method: 2 min 16 sec <a href="https://www.youtube. com/v/HUZqSngRvmQ">Full Screen</a> <a href="https://www.youtube. com/watch? v=HUZqSngRvmQ">Alternate</a></p>
The Study on Preventing Click Fraud in Internet Advertising

Since the 21st century, China’s internet technology has continuously developed in stride. It has evolved from a convenient and efficient information transmission tool to a diversified information carrier with large number of users and a network social service application platform, having positive impact on people’s life. This study analyzes the current strategies to prevent click fraud, and the implementation process of all strategies is basically the same: firstly, customers are threatened by click fraud, and then they adopt rights protection behaviors, adopt different strategies, investigate the causes of click fraud, and compensate for the losses caused by click fraud. The strategy to prevent click fraud proposed in this paper starts from the effective number of clicks. Even if there is a malicious click, the click behavior will be regarded as invalid, and no record will be made in the database of the service provider, so that customers will not be threatened by click fraud. This paper uses the random forest algorithm in machine learning to classify features to determine fraudulent click behavior. The results show that the proposed method is higher than 91% in the prediction accuracy of positive and negative samples. In addition, in comparison with several other classification methods, the random forest classification algorithm Internet advertising click fraud detection effect is the most effective. The results of CPC advertising show that the algorithm is effective and feasible.
Smart Power Dalam Pemasaran Relasional

This study is directed at building a basic and empirical theoretical model: Efforts to achieve strategic marketing outcomes based on the theory of relational marketing and power / power. Confirming and testing: the impact of smart power on trust, relational commitment, marketing cooperation, long-term relationship values (loyalty, relationship closeness, and chain messages); and the impact o f long-term relationship values with strategic marketing outcomes (synergy of cooperation, competitive advantage and marketing performance). This study was conducted on tourism business organizations in Indonesia . The number of respondents was 315 leaders / managers of the organization. Measurement of research variables is done by using multiple indicators ,. in this research can be completed by positioning power / power and trust as a relational basis which is an antecedent of relational commitment and intensity of cooperation. Furthermore, long-term relationship values are social capital to obtain strategic marketing outcomes . Cooperation synergy is positioned as a mediating variable between behavioral results in relational marketing and strategic marketing results. So, the originality of the findings in this study is that the fabric of marketing relations between organizations will achieve higher marketing performance when based on relational marketing theory and power / power. The recommendations of this study, are: to build marketing cooperation must be based on an integrated market and resource base. At the operational and public policy level, the tourism industry in Indonesia needs to be developed by formulating a tourism development strategy based on local resources and culture. Keywords : Smart power ; Trust ; Relational Commitment
Hollow direct air cooled windings: Rotor design process

This paper presents theoretical and practical analyses of four different design options for an electrically excited synchronous machine (EESM) with hollow field winding conductors for internal air cooling. This cooling concept allows for effective direct cooling of the windings.Simulations are performed for the electromagnetic evaluation of the proposed designs, while a plastic 3D printed rotor mock- up is used to validate the winding method. The electromagnetic simulation results are used to estimate the increased losses during nominal excitation, for a comparison with a hypothetical corresponding PMSM. The rotor mock-up proved to be an effective way to test winding methods and rule out design options that worked well in theory, but not in practice.Based on the theoretical and practical analyses, a conclusion is drawn on what rotor design option is most suitable for this direct cooling concept. The chosen design has separate rotor teeth assembled to the rotor yoke with dovetails.
Employee Sentiment and Stock Returns

We propose an employee sentiment index, which complements investor sentiment and manager sentiment indices, and find that high employee sentiment predicts a subsequent low market return, significant both in- and out-of-sample. The predictability of the employee sentiment index can also deliver sizable economic gains for mean-variance investors in asset allocation. The employee sentiment’s impact is stronger among employees who work in the headquarters state and among less experienced employees. The economic driving force of the predictability is distinct from those of investor sentiment and manager sentiment: high employee sentiment leads to high contemporaneous wage growth due to immobility, which in turn results in subsequently lower firm cash flow and lower stock return.
COVID-19 IMPACT ON E-COMMERCE USAGE: AN EMPIRICAL EVIDENCE FROM MALAYSIAN HEALTHCARE INDUSTRY

Purpose of the study: The purpose of the study is to investigate the COVID-19 impact on e-commerce usage in the Malaysian healthcare industry through the Technological, Organizational, and Environmental (TOE) model. Methodology: This is a quantitative online survey-based research. The questionnaires are distributed among 100 samples from a healthcare provider, namely doctors, hospital management, medical assistant nurses, and medical supplier, particularly in Peninsular Malaysia. The sample comprised 45% male and 55% female. The data were analyzed by using SPSS 25 and PLS-SEM 3.0 to examine the relationship between variables and to test the hypotheses. Main Findings: The finding reveals that organization readiness, e-commerce knowledge, and supply chain integration have a significant positive impact. In contrast, IT infrastructure and external pressure have an insignificant effect on e-commerce usage. Applications of the Study: The benefits obtained from this study can be used to empower e-commerce usage in the healthcare industry of Malaysia. Also, it will enhance the quality of services hence advancing the healthcare services and operations. Novelty/Originality of the Study: The combined effect of the TOE and DOI theory on e-commerce usage for the healthcare industry to contribute to the literature.
Comparison of allometric equations and biomass expansion factors for six evergreen broad-leaved trees in subtropical forests in southern Korea

ABSTRACT This study was conducted to compare the allometric equations and biomass expansion factors (BEFs) of six dominant evergreen broad-leaved trees (Camellia japonica L, Castanopsis sieboldii Hatus, Quercus acuta Thunb, Q. glauca Thunb, Machilus thunbergii S. et Z., and Neolitsea sericea Koidz) in subtropical forests. A total of 86 trees were destructively sampled to quantify the aboveground biomass of each tree component (i.e., leaves, branches, and stem). Species-specific or generalized allometric equations and species-dependent BEFs were developed for each tree component of the six broad-leaved forest trees. Species-specific allometric equations were significant (P < 0.05), with the diameter at breast height (DBH) accounting for 68–99% of the variation, whereas generalized allometric equations explained 64–96% of the variation. The values of stem density ranged broadly from 0.49 g cm−3 for C. sieboldii to 0.79 g cm−3 for Q. glauca, with a mean value of 0.68 g cm−3. The BEFs were significantly (P < 0.05) lower for C. sieboldii (1.25) than for M. thunbergii (2.02). Stem density and aboveground BEFs had a significant negative relationship with tree ages. The results indicate that species-specific allometric equations and species-dependent BEFs are applicable for obtaining accurate biomass estimates of subtropical evergreen broad-leaved forests.
Mechanisms and impact of Post-transcriptional Exon Shuffling (PTES)

ii ABSTRACT Most eukaryotic genes undergo splicing to remove introns and join exons sequentially to produce protein-coding or non-coding transcripts. Post-transcriptional Exon Shuffling (PTES) describes a new class of RNA molecules, characterized by exon order different from the underlying genomic context. PTES can result in linear and circular RNA (circRNA) molecules and enhance the complexity of transcriptomes. Prior to my studies, I developed PTESFinder, a computational tool for PTES identification from high-throughput RNAseq data. As various sources of artefacts (including pseudogenes, template-switching and others) can confound PTES identification, I first assessed the effectiveness of filters within PTESFinder devised to systematically exclude artefacts. When compared to 4 published methods, PTESFinder achieves the highest specificity (~0.99) and comparable sensitivity (~0.85). To define sub-cellular distribution of PTES, I performed in silico analyses of data from various cellular compartments and revealed diverse populations of PTES in nuclei and enrichment in cytosol of various cell lines. Identification of PTES from chromatin-associated RNAseq data and an assessment of co-transcriptional splicing, established that PTES may occur during transcription. To assess if PTES contribute to the proteome, I analyzed sucrose-gradient fractionated data from HEK293, treated with arsenite to induce translational arrest and dislodge ribosomes. My results showed no effect of arsenite treatment on ribosome occupancy within PTES transcripts, indicating that these transcripts are not generally bound by polysomes and do not contribute to the proteome. To investigate the impact of differential degradation on expression levels of linear and circRNAs, I analyzed the PTES population within RNAseq data of anucleate cells and established that most PTES transcripts are circular and are enriched in platelets 17-to-188-fold relative to nucleated tissues. For some genes, only reads from circRNA exons were detectable, suggesting that platelets have lost >90% of their progenitor mRNAs, consistent with timedependent degradation of platelets transcriptomes. However, some circRNAs exhibit read density patterns suggestive of miRNA induced degradation. Finally, a linear PTES from RMST locus has been implicated in pluripotency maintenance using limited RNAseq data from human embryonic stem cells (hESC). To identify other PTES transcripts with similar expression patterns, I analyzed RNAseq data from H9 ESC differentiation series. Statistical analyses of PTES transcripts identified during cellular differentiation established that PTES expression changes track with that of cognate linear transcripts and accumulate upon differentiation. Contrary to previous reports, the dominant transcript from RMST is circular and increases in abundance during differentiation. Functional
WHO’s QualityRights Initiative

This perspective essay introduces the World Health Organization’s QualityRights initiative, which uses a multicomponent framework and strategies to promote mental health systems, services, and practices that prioritize respect for human rights, in line with the United Nations Convention on the Rights of Persons with Disabilities (CRPD). 1 It describes how the initiative is working to provide practical solutions to promote inclusion, legal capacity, and non-coercive approaches in mental health. Since the adoption of the CRPD in 2006, there has been considerable dialogue, debate, and concerns expressed around the applicability of the Committee on the Rights of Persons with Disabilities’ interpretations of certain key provisions of the convention as they relate to the area of mental health. In particular, these concerns refer to the right to equal recognition before the law and to legal capacity (article 12), as well as the right to liberty and security of the person (article 14). 2 They are reflected in the declarations and reservations submitted by several countries in relation to these articles specifically and briefly summarized below.3 Article 12 of the convention states that all persons with disabilities, including persons with mental health conditions and psychosocial disabilities, must be allowed to exercise legal capacity—in other words, to make decisions for themselves on all aspects of their lives—on an equal basis with others.4 This challenges and ultimately prohibits practices such as forced admission and treatment, guardianship, and other forms of substitute decision-making. Instead, article 12 recognizes and promotes the concept of “supported decision-making,” wherein people are provided with access to a variety of support options, including the support of people they trust (for example, family, friends, peers, advocates, lawyers, and personal ombudspersons), in order to make decisions and choices for themselves. This approach recognizes that building on people’s unique abilities and providing them with the support they require allows them to make their own decisions. A person may need support to understand the information, weigh different options, understand
The effects of vocabulary knowledge in L2 semantic lexical engagement: The case of adult learners of English as a second language

There is evidence that L1 and L2 lexical engagement of novel items occurs in adulthood. However, previous studies have not addressed the effects of individual differences on that engagement. Hence, it is unknown how individual differences may influence semantic lexical engagement gains in L1 and L2 adult learners. This study investigates the effects of pre-existing vocabulary knowledge on L2 semantic lexical engagement of recently learned novel words. A semantic priming experiment, across two consecutive days, was conducted. A group of advanced L2 learners (n=26) and L1 learners (n=26) participated in the study. They were trained on pseudowords acting as verbs (n=7) and nouns (n=7). Vocabulary knowledge was measured via an online vocabulary size test. On day one, participants learned the meaning of the pseudowords via reading 12 repetitions of the novel words embedded into English sentences. Immediately, after the reading session, participants undertook surprise recognition and recall vocabulary posttests. On day two, participants took part in a semantic lexical decision task (LDT) with priming to test L2 semantic lexical engagement of the novel words learned on day one. The data were analysed through a series of general and linear mixed-effects models. The results showed that L1 and L2 participants engaged the meaning of the recently learned novel words. Previous vocabulary knowledge predicted faster recognition of semantic related and unrelated primes in the LDT task. It is concluded that L1 and L2 adult learners lexically engaged the meaning of the recently learned words and that vocabulary size is a predictor of L2 semantic lexical engagement of novel words within the conditions of this study. The empirical findings provide a new understanding of the role vocabulary knowledge on L1 and L2 semantic lexical engagement of
Antioxidant and biological activities of essential oil from Colombian Swinglea glutinosa (Blanco) Merr fruit

The objectives of this work were the study of the volatile chemical composition of essential oils (EO’s) from Swinglea glutinosa, as well as to evaluate their antioxidant, repellent and fumigant properties. The EO was obtained by hydrodistillation from the peel of the fruit, gathered in the city of Cartagena, Bolívar (Colombia). The volatile composition was analyzed by gas chromatography coupled to mass spectrometry (GC-MS). The major compounds found in S. glutinosa were germacrene D (4.8%), limonene (5.2%), -terpineol (6.5%), -pinene (8.5%), nerolidyl acetate (9.8%), and trans-nerolidol (34.6%). S. glutinosa showed antioxidant potential (85.8%) (IC50=142.49 μg mL). The EO deployed repellent activity against the Tribolium castaneum weevil at a concentration of 15.73 nL cm at 2 hours of exposure (72%), while the result for the commercial repellent was 50% at the same concentration. EO from S. glutinosa displayed the best fumigant activity with LC50 of 153.4 μg mL air. The essential oil from S. glutinosa can be considerated as a natural source of biocides and antioxidants.
Perceived Factors Responsible for Students’ Drop Out of School in Zumo Development Area Song Local Government of Adamawa State, Nigeria

The main purpose of the study was to examine school related factors responsible for students dropping out from secondary schools in Zumo Development Area of Adamawa State, Nigeria. A descriptive survey research was adopted for the study. A total of twenty students who had dropped out of school in the past five years were in the study area. They were randomly sampled from five communities out of the nine community secondary schools in Zumo Development area. Data was collected through administering a modified four point likert-type questionnaire to the participants. The data obtained was compiled and analysed using simple percentages. The study revealed that poverty and financial constraints were critical in the dropout phenomenon. The study also revealed that school dropout was primarily grounded in school problems such as school distance and inadequate teacher-student relationship, inadequate resources and facilities as well as irrelevant curriculum content that failed to meet the needs and aspirations of the students. The study recommended that schools learning environment should be child friendly. Teachers as well as pupils should team up to work together to encourage and assist children on the verge of dropping out to remain in school.
Reducing Obesity in Rural Alabama: From Focus Groups to Community Coalitions

With an adult obesity rate of 35.6%, Alabama is the second most obese state in the United States. Alabama Extension and the Centers for Disease Control and Prevention (CDC) joined in the first collaboration between the CDC and land-grant institutions to prevent further incidence and reduce the prevalence of obesity. The objective of our study was to determine perceived barriers and assets related to nutrition education, food retail, and physical activity in 14 rural counties in Alabama where adult obesity rates are greater than 40%. Extension formed community coalitions in the counties to help identify community-specific needs and strategies related to obesity prevention and reduction.