Miracle-dz/UniFAR-FTUs huggingface dataset:
Insecticidal and Acaricidal Activity of Essential Oils Rich in (E)-Nerolidol from Melaleuca leucadendra Occurring in the State of Pernambuco (Brazil) and Effects on Two Important Agricultural Pests

Essential oils from the leaves, stems, flowers and fruits of Melaleuca leucadendra growing in the state of Pernambuco, Brazil, were analyzed using gas chromatography-mass spectrometry (GC-MS). The effects of the oils and their major constituent were evaluated on the agricultural pests Tetranychus urticae and Plutella xylostella in different stages of development. The analysis revealed a M. leucadendra chemotype rich in (E)-nerolidol (81.78 ± 0.90% to 95.78 ± 1.20%). P. xylostella was more susceptible to the oils and major constituent than T. urticae. The fruit oil was 1.5-fold more toxic than the leaf oil to T. urticae eggs. (E)-Nerolidol was 5.5-fold and 4.5-fold more toxic to T. urticae adults than the leaf and fruit oils, respectively. Azamax used as the positive control was more efficient than the oils and (E)-nerolidol against T. urticae. However, the oils and (E)-nerolidol were more toxic to P. xylostella than Azamax®.
Does the Quality of Marriage in Women Get Affected by the Perceived Satisfaction While Communicating with their Spouses?

The study was conducted to understand empirically whether the wives in discordant marriage perceive more dissatisfaction while communicating with their spouses than that of the wives who are in harmonious marriages. Total numbers of subjects included were 160 among which the number of discordant wives and harmonious wives were 80 in each case belonging to the Bengali Hindu community from the different parts of the city of Kolkata, India with purposive sampling technique. The two groups were compared using the scales: ‘Marital Quality Scale’ (M.Q.S.) and ‘Interpersonal Communication Satisfaction Inventory’ (I.C.S.I.). ‘t statistics’ and correlation were conducted to analyze the data. Results showed that discordant and harmonious wives differed significantly in their quality of married life as well as in perception of communication satisfaction with their spouses. Poor marital quality was correlated with poor perception of communication satisfaction and vice versa.
Development of a New Type-I Isotherm for Correction of Langmuir Isotherm’s Over-estimation of Adsorption at Higher Pressures

Different gas equilibrium adsorption models (or isotherms) with various theoretical frameworks have been applied to quantify adsorbed volume (V) of gas (or fluid) through pressure-volume behaviour at a constant temperature. Most often, Langmuir isotherm (representing Type I Isotherm) has been used in modelling monolayer adsorption even though it yields over-estimation at higher pressures thus contradicting the description of Type I isotherm. Here, higher pressures refer to pressures above the adsorption saturation pressure(Ps) . Hence, in this work, a new Type I adsorption isotherm involving pressure(P), adsorption saturation pressure(Ps) , maximum adsorbed volume and adsorbate-adsorbent resistance parameter was developed using kinetic approach. The developed adsorption isotherm is V= and it shows that Vmax is attained when pressure increases to Ps , above which no further gas adsorption occurs. The developed isotherm can be used to model all cases of monolayer adsorptions of gases (or fluids) on adsorbents. The developed and Langmuir isotherms were used in modelling secondary low-pressure gas adsorption data of different adsorbents and the qualities of fit were statistically assessed. For laboratory methane adsorption on Turkey’s shale sample at 25°C, the developed isotherm yields a correlation with an R2 value of 0.997 and predicts a maximum adsorption volume of 0.0450 mmol g-1 at a Ps of 2,005 psia. However, Langmuir isotherm yields a correlation with an R2 value of 0.989 and predicts a maximum adsorption volume (Langmuir volume,VL ) of 0.0548 mmol g-1 at infinite Ps. At the higher-pressure range, the developed isotherm reveals that Langmuir isotherm is not a Type I isotherm but a "pseudo-Type I” isotherm.
Gender Troubles

This chapter introduces the families in the study and the diverse ways they came to understand that their child had a gender issue that penetrated to the level of core identity. While many children engage in atypical forms of play, certain types of gendered statements and behaviors led these parents to decide that their child had a problem significant enough to seek support from an outside expert or advocate. Some also came, in time, to understand that their child had a gender identity that conflicted with their social assignment. The processes through which parents generated these understandings differed significantly for male and female children, reflecting how we valorize normative masculinity while simultaneously treating the category “male” as exquisitely fragile. Parents then shift their behavior, “giving gender” differently to their children, revealing the ways our identities come into being in interaction with significant others.
Impact of antibiotic perturbation on intestinal viral communities in mice

Viruses and bacteriophages have a strong impact on intestinal barrier function and the composition and functional properties of commensal bacterial communities. To improve our understanding of the role of the enteric intestinal virome, we longitudinally characterized the virome in fecal samples from wild-type (WT) C57BL/6J and knock-out (KO) NOD2 mice in response to an antibiotic perturbation. Sequencing of viral-like-particles (VLPs) demonstrated both a high diversity and high inter-individual variation of the murine gut virome composed of eukaryotic viruses and bacteriophages. Antibiotics also had a significant impact on the gut murine virome causing a delayed resilience independent of genotype. However, compositional shifts in the virome and bacteriome were highly correlated, suggesting that the loss of specific phages may contribute to a dysregulation of the bacterial community composition. Bacteriophage species may be playing an important role in either upregulating or downregulating the bacterial community, and restoring a healthy virome may therefore be a central goal of microbiota-targeted therapies.
Factors that influence the intention of using an app in higher education

The technology incorporation in the academic area results in changes in the way students see the subjects professors teach, as well as interferes with interpersonal relations, contributing to expanding the classroom beyond its physical environment. Therefore, it creates interactive learning environments in which the professor assumes a mediating role. Another consequence of technology insertion in education is the emergence of virtual tools that collaborate with student growth. With the use of the Unified Theory of Acceptance and Use of Technology (UTAUT), this research aims to identify which factors influence the intention of using an application that provides tips for students about the subject discussed in class in the Undergraduate Program in Accounting of a Federal University in southern Brazil. This is descriptive research with a quantitative approach through primary data. Version 17.0 of the Statistical Package for the Social Sciences (SPSS) was used, which analyzed the collected data to obtain a descriptive statistical analysis. Then, the database was imported into the Smart PLS statistical program (version 2.0) to empirically validate the hypotheses through Structural Equation Modeling (SEM). In view of the results achieved, the conclusion was that the performance expectancy and social influence directly and significantly affected the intention of using the application. In addition, it is expected that this research will contribute to the academic community by supporting the inclusion of mobile technologies for the propagation of education beyond the classroom, thus enabling omnipresent education for society in general.
FACULTY OF INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING

In recent times, people have become concerned about their environmental conditions, amid deteriorating global statistics on bad air quality, global warming and UV light exposure. Conventional technologies for reading environmental conditions are expensive, bulky and situated, yet, people are mobile and need portable tools to be aware of their immediate environmental conditions on demand. Smartphones are now widely used, endowed with sensors and wireless communication technologies such as Bluetooth, and Near Field Communication (NFC) for external sensor connectivity, making smartphones a viable tool for fingerprinting the environment. This thesis outlines the design, evaluation and implementation of a mobile-enabled system for environmental data collection using a portable NFC powered sensor board. The name of the system developed in this thesis is the S3 system. The S3 system is a two-tier system which consists of S3 Android application and an online dashboard with a data repository. The S3 Android application is used for collecting and visualising environmental data; temperature, humidity, UV, ambient light, with a smartphone and a credit card-size NFC powered sensor board. The sensor data is then periodically synced to the online data repository. Additional features of the S3 application include automated feedback sampling, introductory tutorial, and user preference settings. The thesis further details the design and implementation process with scenarios, use cases, paper sketches, expert review of sketches, interface mockups, evaluation of prototype with a user study, quantitative and qualitative analysis of user study data, and finally the implementation of the S3 application. The thesis also presents a test run to demonstrate the capabilities of the S3 system as a mobile-enabled solution for crowdsourced environmental fingerprint datasets. To the end user, the work in this thesis provides the S3 application and the NFC powered sensor card as a portable tool for personalised environmental fingerprinting. On the other hand, the intervention in this thesis will have an impact on research since the crowdsourced environmental fingerprint datasets can be valuable datasets for research. As a TEKES project, the solution also provides a proof of concept for further improvement and deployment into the commercial software market.
The Role of Physical Education Homework to Adolescent Girls’ Physical Activity in Finland

Introduction: There is an urgent need for active strategies to promote physical activity (PA) among female adolescents, as they are at greater risk of physical inactivity. In addition to Physical Education (PE) in school, to reach adequate levels of PA, young people need to participate in PA during the school day and/or after-school hours and/or in the before-school period. One week of objectively measured and self-reported information enlightens the status quo of adolescent girls’ PA and the role that PE homework plays. Purpose: The purpose of this study was to examine girls’ objectively measured PA in a lower secondary school as part of the Physical Education Homework Study, a project conducted in Finland. An additional aim was to provide insights into physical education (PE) homework as part of PA. Methods: Different levels of PA (i.e., light, moderate, vigorous), sedentary time, number of total steps and running steps were measured using accelerometers among girls in the 7th, 8th and 9th grades, aged between 12 and 15 years (n = 88) for a period of 1 week. In addition, self-reported structured diaries were used to gather information about after school activities, including PE homework. An analysis of variance (ANOVA) and Tamhane’s post-hoc test was used to compare the different grades on the basis of participants’ PA levels and sedentary time. Data from self-reported PE homework frequencies and time spent on PE homework were analysed using the independent-samples t-test. Results: The PE homework was a small aspect of the participants’ whole-day PA, averaging 34 minutes per week (7th grade girls 20 minutes, 8th grade girls 51 minutes, and 9th grade girls 32 minutes). Half of the girls from the 8th grade reached the 60-minute PA recommendation every day; 38% of all the girls met the recommended levels of PA. For the 7th grade girls, 35% met the recommendation, while 28% of the 9th grade girls reached the PA guidelines. The 7th grade girls recorded an average daily light PA time of 3 hours 28 minutes; this was 34 minutes more than the girls from 8th grade (p = 0.000) and 30 minutes more than the girls from the 9th grade (p = 0.000). Conclusion: The PE homework provided a variety of PA for the adolescent girls’ after-school hours, even if the role of homework was not time-consuming (20 - 51 minutes per week). A possible way of promoting active time among adolescents during after-school hours is to assign them PE homework, hence, active PE assignments could replace sedentary activities in adolescent girls’ lives.
FORMULATION AND EVALUATION OF GEL LOADED WITH MICROSPHERES OF APREMILAST FOR TRANSDERMAL DELIVERY SYSTEM

Objective: The main objective of the present research work was to formulate and evaluate gel loaded with microspheres of apremilast to increase bioavailability and to reduce the dosing frequency and to improve patient compliance. Methods: Gel loaded with microspheres of apremilast was prepared by solvent evaporation method by taking different ratios of polymers. Ethyl cellulose as a polymer, dichloromethane solvent is used as drug solubility, polyvinyl alcohol as a surfactant, and sodium alginate is used as gelling agent. Prepared gel loaded with microspheres was evaluated for drug interactions by Fourier transform infrared (FTIR), differential scanning calorimetry studies, and surface morphology by scanning electron microscopy (SEM), to select effective one among all formulations. The prepared formulations (F1–F6) were evaluated for pre-formulation studies, spreadability, viscosity, pH measurement, gel strength, homogeneity, drug content, in vitro diffusion studies, drug kinetics, and finally for stability studies. Results: Differential scanning calorimeter studies confirmed that there is no drug interaction between drug and excipients. FTIR spectroscopy studies confirmed that there is compatibility between drug and excipients. Regular and spherical shape particles with smooth surface were observed in the SEM photographs. The optimized gel loaded with microspheres of F4 formulation (drug: polymer in 1:4 ratio) is more effective compared to all formulations. The prepared gel showed acceptable physical properties such as spreadability (5.86±0.54 g.cm/s), viscosity (568 cps), pH (6.33±0.55), gel strength (38 s) and drug content (90.00±0.71%). In vitro diffusion studies have shown 80.1±1.92% drug release in 10 h. Drug kinetics follows zero order kinetics and n value was found to be 0.721. Stability studies were done for 3 months. Conclusion: All the results show that the gel loaded with microspheres of apremilast can be effectively used for the treatment of psoriasis and psoriatic arthritis.
Identifying self-care behaviour and its predictors among type 2 diabetes mellitus patients at a district of Northern Peninsular Malaysia

Introduction: The prevalence of diabetes mellitus among Malaysian aged ≥ 18 years increased from 11.6% (2006) to 17.5% (2015). Positive self–care behaviour leads to good glycaemic control. The objective of this study is to determine the self-care behaviour, its associated factors and predictors among type 2 diabetes mellitus (T2DM) patients in government health clinics at a district of Northern Peninsular Malaysia. Methodology: A cross-sectional study was conducted on 546 T2DM patients aged ≥ 18 years, recruited by simple random sampling method. A validated self-administered questionnaire including socio-demographic characteristics, diabetes profile, knowledge, Health Belief Model (HBM) and Summary of Diabetes Self-care Activity Scale (SDSCA) was used. Data were analysed using SPSS version 22.0. Self-care behaviour is the dependent variable. Results: The respondents practised 3.4 (SD = 1.11) days self-care behaviour past 1 week. The predictors of self-care behaviour were self-efficacy (standardized β= 0.257, p< 0.001), knowledge (standardized β= 0.112, p= .007), female (standardized β= 0.107, p= 0.010), combination oral hypoglycaemic agents (OHA) and insulin (standardized β= -0.182, p= 0.002), and monthly income < RM1,000 (standardized β= -0.129, p= 0.002). The entire group of variables significantly predicted self-care behaviour [F (6, 539) = 15.79, p< 0.001, adjusted R2 = 0.140] with total variance of 14.9%. Self-efficacy was the strongest predictor in self-care behaviour. Conclusion: The findings enable us to identify the specific groups with predicted lower self-care behaviour which are useful in future planning and implementation of intervention.
Mutual Reputation Based Service Mapping in Cloud Environment

— Due to increase in the number of cloud users (CUs), the number of cloud service providers (CSPs) have also been increased. Among the number of available CSPs, the selection of a suitable CSP for a CU has become a complicated issue. In literature, the reputation of CSPs is used to evaluate their suitability. Since, cloud has a strong business perspective, suitability of CU for a CSP is equally important. The mutual suitability of CSPs and CUs can give new dimensions to service orchestration in cloud. Therefore, this paper proposes a mutual reputation-based service mapping framework for the cloud environment. The mutual reputation of both the CSPs and CUs is used during the service mapping. The reputation of CSPs and CUs is evaluated based on their quality of service (QoS) attributes and for evaluating the reputation of CUs the parameters are defined. Analytical Hierarchy Process (AHP) is used to evaluate the reputation of CSPs and CUs. The mutual reputation-based mapping is depicted through a case study in the paper. Results prove the enhanced performance of the proposed framework in terms of system overhead in comparison to an existing framework.
Tsallis entropy on fractal sets

In this article, we review fractal calculus ( -calculus) and define generalized Tsallis entropy on the fractal sets which is called fractal Tsallis entropy. We define q-fractal calculus to obtain q-Gaussian or generalized stable and Lévy distribution on fractal sets. The conditions for the nonlinear coupling of the statistical states are given. The relationship of fractal dimension which is defined in -calculus with q-parameter of the Tsallis entropy of the Hadron system is proposed.
Toward lightweight intrusion detection systems using the optimal and efficient feature pairs of the Bot-IoT 2018 dataset

Intrusion detection systems play a vital role in traffic flow monitoring on Internet of Things networks by providing a secure network traffic environment and blocking unwanted traffic packets. Various intrusion detection systems approaches have been proposed previously based on data mining, fuzzy techniques, genetic, neurogenetic, particle swarm intelligence, rough sets, and conventional machine learning. However, these methods are not energy efficient and do not perform accurately due to the inappropriate feature selection or the use of full features of datasets. In general, datasets contain more than 10 features. Any machine learning–based lightweight intrusion detection systems trained with full features turn into an inefficient and heavyweight intrusion detection systems. This case challenges Internet of Things networks that suffer from power efficiency problems. Therefore, lightweight (energy-efficient), accurate, and high-performance intrusion detection systems are paramount instead of inefficient and heavyweight intrusion detection systems. To address these challenges, a new approach that can help to determine the most effective and optimal feature pairs of datasets which enable the development of lightweight intrusion detection systems was proposed. For this purpose, 10 machine learning algorithms and the recent BoT-IoT (2018) dataset were selected. Twelve best features recommended by the developers of this dataset were used in this study. Sixty-six unique feature pairs were generated from the 12 best features. Next, 10 full-feature-based intrusion detection systems were developed by training the 10 machine learning algorithms with the 12 full features. Similarly, 660 feature-pair-based lightweight intrusion detection systems were developed by training the 10 machine learning algorithms via each feature pair out of the 66 feature pairs. Moreover, the 10 intrusion detection systems trained with 12 best features and the 660 intrusion detection systems trained via 66 feature pairs were compared to each other based on the machine learning algorithmic groups. Then, the feature-pair-based lightweight intrusion detection systems that achieved the accuracy level of the 10 full-feature-based intrusion detection systems were selected. This way, the optimal and efficient feature pairs and the lightweight intrusion detection systems were determined. The most lightweight intrusion detection systems achieved more than 90% detection accuracy.
Capital Structure Conditions Affected by Company Internal Factors: a Case Study of Non-Cyclicals Consumer Companies on Indonesian Stock Exchange

The purpose of this research is to find out how the variables of firm size, asset structure, profitability, liquidity, and sales growth influence the capital structure of non-cyclical consumer companies listed on the Indonesia Stock Exchange. The population in this study was 55 non-cyclical consumer companies listed on the Indonesia Stock Exchange in 2015 - 2019, while for the method of determining the sample in this study using a purposive sampling technique, as many as 25 companies. The analytical technique used is multiple linear regression analysis with panel data using the Eviews 9 program. The results show that the variables of firm size, asset structure, profitability, liquidity and sales growth have a negative and significant effect on capital structure. These results indicate that the variables of firm size, asset structure, level of profitability, liquidity and sales growth have increased, it will cause the level of the company's capital structure to decrease. Contribution to this research is expected that the company can increase company size, asset structure, profitability, liquidity and sales growth so that the use of debt in the company's capital structure decreases. This study only examines five independent variables, namely firm size, asset structure, profitability, liquidity, and sales growth. This study focuses only on examining Consumer Non-Cyclicals companies listed on the Indonesia Stock Exchange (IDX). Future research is expected to be able to add other variables that affect the capital structure by using company external variables such as taxes, economic conditions, interest rates with research objects in other companies, as well as with a longer research period so that the results obtained can be generalized.
Dual-Band HighQ-Factor Complementary Split-Ring Resonators Using Substrate Integrated Waveguide Method and Their Applications

In modern microwave telecommunication systems, especially in low phase noise oscillators, there is a need for resonators with low insertion losses and high Q-factor. More specifically, it is of high interest to design resonators with high group delay. In this paper, three novel dual-band complementary split-ring resonators (CSRRs) featuring high group delay etched on the waveguide surface by using substrate integrated waveguides are investigated and proposed. (ey are designed for a frequency range of 4.5–5.5 GHz. Group delay rates for the first, second, and third resonators were approximated as much as 23 ns, 293 ns, and 90 ns, respectively. We also proposed a new practical method to develop a wide tuning range SIW CSRR cavity resonator with a small tuning voltage in the second resonator, which leads to about 19% and 1% of tuning frequency band in the first and second bands, respectively. Finally, some of their applications in the design of filter, diplexer, and low phase noise oscillator will be investigated.