Miracle-dz/UniFAR-FTUs huggingface dataset:
Mode Compression Method for Wideband Dipole Antenna by Dual-Point Capacitive Loadings

In this communication, a dual-mode compression method is proposed for wideband applications of thin dipole antennas. In this method, only two points along the thin dipole antenna are properly found and loaded by two capacitors, lumped or distributed. At these two loading points, there are current nulls of the third mode of the dipole. With two capacitive loadings, an obvious upshifting of the first mode’s resonant frequency is observed but with little effects on the third mode. By compressing the first and third modes, an enhancement of the antenna bandwidth is achieved. In addition, a parallel line is used as a transformer for impedance matching. A prototype of the design has been fabricated and tested. The measured results agree well with the simulated ones. In the thin structure of <inline-formula> <tex-math notation="LaTeX">$1.01\times 0.09\,\,\lambda _{0}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$\lambda _{0}$ </tex-math></inline-formula> is the free space wavelength at the center frequency), a wide bandwidth from 1.88 to 3.18 GHz (51.4%) is achieved, performing an omnidirectional radiation pattern with gain of 2.0–4.0 dBi in azimuthal plane.
Why Do They Leave and Where Do They Go? A Qualitative Study of Illinois School-Based Agriculture Teachers Who Left The Profession

Approximately half of a million educators move or leave the profession each year with an estimated 41% of all educators exiting within the first five years. Additionally, agriculture teacher preparation programs are not producing enough graduates to meet current demands with 1,476 agricultural teacher vacancies existing in 2016 and only 772 individuals completing an approved teacher preparation program to become fully licensed. While the lack of young people entering the teaching profession is concerning, researchers have suggested teacher attrition is the predominant reason behind the ongoing teacher shortage. The purpose of this qualitative study was to identify factors influencing former agriculture teachers’ decision to leave the classroom. Themes developed that stem from unrealized expectations for one’s career and the belief that being an excellent agriculture teacher is incompatible with a satisfying personal life. A final theme indicated the need for additional support alongside a philosophical shift in the profession that dictates “more is not always better. ” Recommendations are made for further research along with ideological and practical shifts needed within the profession to improve teacher retention.
Biocatalyst of Nanocomposite using Functionalized Low-Cost Activated Carbon from Zea mays L. (maize) Husk Leaf with Lipase for Hydrolysis of Olive Oil

The expansion of agricultural land and commercial food industries to meet rising global demands have imparted new challenges to the environment and human activities. Poor management of the generated waste by-products perpetually contributes to increased ecological burden. This study proposed the use of chemically-functionalized activated carbon sourced from Zea mays L. husk leave (FZHLAC) as support for the covalent immobilization of Candida rugosa lipase (CRL). This work aims to establish the protocol of preparing functionally satisfactory FZHLAC immobilized CRL (CRL-FZHLAC) and to assess its efficacy in hydrolyzing olive oil as the model reaction. Results of FT-IR spectroscopy, SEM, TGA, X-ray diffraction and BET confirmed that CRL-FZHLAC was successfully prepared with an enzyme loading of 13% (v/v). Maximum activity for hydrolysis (71.24 µmol/min/g) was achieved under an optimized condition of 50 °C, 200 rpm at pH 8 with reusability up to 5 cycles. Hydrolysis at 70 °C best fitted the first order reaction while the activation energies varies from 55.37 to -41.22 kJ/mol. The findings showed that CRL-FZHLAC is prospectively useful as biocatalysts to carry out a variety of aqueous-based biotransformation reactions
Climate Sensitivity and the Direct Effect of Carbon Dioxide in a Limited-Area Cloud-Resolving Model

Even in a small domain, it can be prohibitively expensive to run cloud-resolving greenhouse gas warming experiments due to the long equilibration time. Here, a technique is introduced that reduces the computational cost of these experiments by an order of magnitude: instead of fixing the carbon dioxide concentration and equilibrating the sea surface temperature (SST), this technique fixes the SST and equilibrates the carbon dioxide concentration. Using this approach in a cloud-resolving model of radiative–convective equilibrium (RCE), the equilibrated SST is obtained as a continuous function of carbon dioxide concentrations spanning 1 ppmv to nearly 10 000 ppmv, revealing a dramatic increase in equilibrium climate sensitivity (ECS) at higher temperatures. This increase in ECS is due to both an increase in forcing and a decrease in the feedback parameter. In addition, the technique is used to obtain the direct effects of carbon dioxide (i.e., the rapid adjustments) over a wide range of SSTs. Overall, the direct effect of carbon dioxide offsets a quarter of the increase in precipitation from warming, reduces the shallow cloud fraction by a small amount, and has no impact on convective available potential energy (CAPE).
Record linkage : applied to a clinical trial and cohort study.

The main aim of this thesis is to investigate the role of computerised record linkage in clinical trial and epidemiological follow-up. This is illustrated using the West of Scotland Coronary Prevention Study (WOSCOPS). This study is placed in context by reviewing the results of previous clinical trials and epidemiological studies. Details of the probabilistic basis for record linkage techniques and the practical methods used to set up a computerised record linkage system are also given. The above ideas are brought together in the application of record linkage techniques, as employed in the Scottish Record Linkage System, to link the WOSCOPS subjects to their morbidity and mortality records on the Scottish national databases. The data resulting from the linkages are considered in various ways. A comparative study was carried out for the subjects randomised into WOSCOPS. The availability of two separate adverse event databases, one produced by routine subject follow-up and the other derived by computerised record linkage, provided a unique opportunity to assess the completeness and accuracy of each of the follow-up methods, and the benefits of a system incorporating both methods. This study found that record linkage compared well with traditional methods of follow-up in terms of completeness, accuracy, speed and cost. Record linkage provided the only feasible method by which adverse event records could be obtained for the large cohort of subjects screened for WOSCOPS. The data for the screened cohort were analysed in relation to categories of baseline risk factors. Data were categorised to maintain subject anonymity since informed consent was not available for all screenees. Analysis of this large cohort provided results which were in agreement with the previous studies. The mortality rates observed for the screened cohort using record linkage were finally compared to the mortality rates for the general population in the screening area. This provides an assessment of how representative the screened cohort is of the general population. It was found that the general population in the screening area tended to have higher mortality rates than the screened cohort.
Occupational Exposure to Oxyacetylene Flame Could Predispose to Macrocytic Anaemia in Welders in Nnewi, South East Nigeria

Background: Oxyacetylene flame is known to contain a number deleterious components which could be of potentially occupational health importance. Objective: To evaluate the effects of occupational exposure to oxyacetylene flame on haematological indices in a population of welders in Nnewi, Nigeria. Subjects and Methods: A total of 100 subjects were randomly selected, comprising of 50 apparently healthy welders and controls, respectively. Subjects were further stratified into those that consumed alcohol and/or tobacco products and those who did not. Three milliliter (3ml) of venous blood was collected from each participant and dispensed into potassium- ethylene diamine tetra acetic acid (K-EDTA) containers for full blood count determination. This was done using the Sysmex® automated haematology analyser, Model Number: PCE 210. Results were expressed as means ± SD while the students t-test and Analysis of Variance (ANOVA) were used for comparison of means; P was significant at
Intelligent Reward-Based Data Offloading in Next-Generation Vehicular Networks

A massive increase in the number of mobile devices and data-hungry vehicular network applications creates a great challenge for mobile network operators (MNOs) to handle huge data in cellular infrastructure. However, due to fluctuating wireless channels and high mobility of vehicular users, it is even more challenging for MNOs to deal with vehicular users within a licensed cellular spectrum. Data offloading in the vehicular environment plays a significant role in offloading the vehicle’s data traffic from congested cellular network’s licensed spectrum to the free unlicensed WiFi spectrum with the help of roadside units (RSUs). In this article, an intelligent reward-based data offloading in the next generation vehicular networks (IR-DON) architecture is proposed for dynamic optimization of data traffic and selection of intelligent RSU. Within the IR-DON architecture, an intelligent access network discovery and selection function (I-ANDSF) module with $Q$ -learning, a reinforcement learning algorithm is designed. The I-ANDSF is modeled under a software-defined network (SDN) controller to solve the dynamic optimization problem by performing an efficient offloading. This increases the overall system throughput by choosing an optimal and intelligent RSU in the network selection process. The simulation results have shown the accurate network traffic classification, optimal network selection, guaranteed quality of service, reduced delay, and higher throughput achieved by the I-ANDSF module.
A Study of Deep Learning Method Opportunity on Palm Oil FFB (Fresh Fruit Bunch) Grading Methods

—The deep learning method is a state of the art in technological developments in various fields, including in agriculture. Deep learning applications in agriculture include many things including the application of fruit grading, including the fruit of palm or palm oil FFB (Fresh Fruit Bunch). Deep learning implementation opportunity in palm oil FFB grading is open because one aspect of fresh fruit grading is based on the number of sockets (fruitless) contained in FFB. Deep learning has the ability to recognize objects, so the determination of FFB grading can be developed based on calculating sockets (fruitless) by utilizing deep learning. So far no researcher has used the number of sockets for grading FFB using deep learning.
Détections des émotions sur un smartphone à partir des interactions des utilisateurs. Proposition de protocole expérimental.

Dans cette etude nous decrivons l’elaboration d’un dispositif de mesure des emotions, etaye par la revue des principales theories et recherches experimentales deja realisees dans ce domaine. Pour cela, nous proposons d’exploiter les donnees comportementales recueillies a partir des capteurs du smartphone. Dans notre protocole experimental, les participants seront ainsi amenes a interagir avec un agent conversationnel dans une application de chat. Les tâches et le contenu propose sont pour objectif d’induire des emotions chez les participants pour labelliser les donnees rassemblees et construire un modele de prediction. Les perspectives que nous envisageons pour ces travaux sont relatives au developpement d’outils susceptibles d’etre utilises dans le cadre de la pratique ergonomique.
Assessment of quality of Life of HIV-Positive People on Antiretroviral Therapy

Background: HIV/AIDS has adverse impact not only on physical but also mental, social, and financial aspects of the infected individual. Quality of life (QOL) among these individuals is therefore becoming crucial for measuring commonly used endpoints. Objective: To study the quality of life (QOL) of HIV-positive people on antiretroviral therapy. Material and Methods: A hospital-based cross-sectional study was conducted among 100 adult HIV-positive patients at two tertiary care hospitals of Lucknow. Systematic random sampling was used to recruit patients. Quality of Life was assessed using WHOQOL-BREF scale. Results: Mean age of the PLHAs was 39.08±9.72 and majority (73.0%) of the study participants were male. QOL score were highest for physical health domain (10.45±1.35) followed by psychological domain (9.38±1.33), environmental domain (8.73±1.11) and social relationship domain (8.05±1.90) respectively. A significant difference (p<0.05) was observed in mean score for social relationship domain with subjects counselled within the last three months and those who were adherent to the treatment had a higher mean score of QOL mean score. Conclusions: The present study revealed intermediate level scores for quality of life for PLHAs. Therefore for improving each and every facet of quality of life all the psychological, emotional and medical needs should be properly addressed through combined efforts by health care providers as well as the community.
Building blocks for the development of an IoT business model

Previous studies have identified a variety of Internet of Things (IoT) business models and have recognised the complexity related to the application of IoT technologies in business, along with the potential of the modularity concept application in organisational design. The purpose of this paper is to identify the main building blocks for the development of a business model canvas for companies that adopt the IoT in their business. ,First, the authors carried a systematic literature review to identify theoretical, experimental and practical IoT business model canvas recorded in the literature. Then, the authors identified and analysed the characteristics of the building blocks present in these canvas using a statistical cluster technique. Based on the outcomes, the authors proposed a framework with standard and optional modules to allow flexible arrangements and suit different IoT business goals. ,The results revealed that the IoT business model canvas recorded in the literature had been grossly designed to attend two drivers: manufacture and service organisations. Therefore, based on the frequency of building blocks present in IoT business model canvas recorded in the literature, it has been proposed two flexible frameworks which can be tailored to accommodate the immense variety of possibilities offered by IoT technologies in manufacture and service business. ,The business model frameworks proposed in this research can support entrepreneurs structuring new IoT businesses or upgrading existing businesses. ,This research offers a comprehensive IoT business model framework with their respective building blocks built from an extensive literature review.
Compact broadband printed quasi‐Yagi antenna with series‐fed double monopole

In this study, a new configuration of a low profile, broadband printed quasi‐Yagi antenna with two directly fed monopoles has been proposed. The property of a printed monopole antenna with a simple microstrip feed‐line has been used to simplify feeding structure of the printed quasi‐Yagi antenna. A broad bandwidth is achieved by cascading another monopole element of different lengths in a series to obtain two nearby resonances. The proposed antenna consists of two driven monopoles on one side of the dielectric substrate, whereas, on the other side, a reflector and a director are realized as parasitic monopole elements, directly on the ground plane. The measured impedance bandwidth of 70.2% (1.46‐3.05 GHz) with stable gain ranging from 4.7 to 5.3 dBi in the entire bandwidth has been achieved. The antenna has the front‐to‐back ratio better than 10 dB and cross‐polarization level below −20 dB in the direction of maximum radiation over the entire bandwidth. The simulated performance of the antenna has been experimentally verified with good agreement.
Polarization dependent loss mitigation technologies for digital coherent system

The performance of Pol-Mux systems is limited by polarization dependent loss (PDL) which mainly exist in the passive components and optical nodes. In coherent systems, the function of PDL mitigation to increase the transmission distance of polarization multiplexed signal is essential for the digital signal processing (DSP) technology. Several precoding technologies have been investigated with the capability of suppressing PDL penalty in a blind manner, so that the monitoring technology is not required. Space-time code is one of the precoding technologies with low processing complexity and better performance. An inverse matrix method was also investigated basing on the Mueller matrix monitor. The experimental demonstration showed good improvement by this method. In this paper, the PDL monitoring and the mitigation technologies will be summarized and well explained in theory.
Major-to-employment mismatch in social work: A values-based framework explaining job-search decisions among Chinese graduates in Shanghai, China

A total of 31 Bachelor of Social Work Chinese graduates were interviewed in college exit interviews in Shanghai about their job search processes. Their responses generated an 87.1 percent major-to-employment mismatch rate between their study major and the postgraduation employment type. Five findings on employment decisions emerged, namely, causation, contextual factors, intervening conditions, job-seeking outcomes, and a positive-but-negative feeling about job searches. This mismatch phenomenon leads to the development of a values-based framework to explain how a combination of professional values and materialistic rewards can influence postgraduation employment decisions. It is connected to the graduates’ motivation to apply social work values to match the employment they seek.
In Vitro Antimicrobial Activity of Natural Essence and Distilled Extract ofBergamot against Drug Resistance Clinical Isolates

Bergamot (Citrus bergamia) belongs to the Citreae tribe in the Aurantioideae subfamily of the Rutaceae plant family cultivated almost exclusively along the coast of the Calabria region, Southern Italy. Bergamot essential oil is widely employed in cosmetics such as in aromatherapy and its antimicrobial effects against bacteria, yeasts and virus are also demonstrated. This study evaluates the “in vitro” antimicrobial activity of natural essence and distilled extract of bergamot on drug resistance pathogens isolated from clinical specimens of patients admitted to University Hospital of Catanzaro, Italy. Bactericidal and fungicidal activity was analyzed using a micro well dilution assay and the efficacy of tested substances was verified by alcidine orange staining procedures and co focal microscopy. Data revealed that the distilled extract of bergamot possessed greatest antimicrobial efficacy when compared with essential oil particularly against drug resistant Gram negative bacteria such as Acinetobacter Baumann, Stenotrophomonas maltophilia, Escherichia coli and Klebsiella pneumoniae responsible for nosocomial infections representing a worldwide public health problem. This study suggests that alternative antimicrobial substances as well as distilled extract of bergamot could be of great utility to prevent microbial contamination on hospital devices and healthcare personnel hand skin.
Detecting DNS Threats: A Deep Learning Model to Rule Them All

Domain Name Service is a central part of Internet regular operation. Such importance has made it a common target of diﬀerent malicious behaviors such as the application of Domain Generation Algorithms (DGA) for command and control a group of infected computers or Tunneling techniques for bypassing system administrator restrictions. A common detection approach is based on training diﬀerent models detecting DGA and Tunneling capable of performing a lexicographic discrimination of the domain names. However, since both DGA and Tunneling showed domain names with observable lexicographical diﬀerences with normal domains, it is reasonable to apply the same detection approach to both threats. In the present work, we propose a multi-class convolutional network (MC-CNN) capable of detecting both DNS threats. The resulting MC-CNN is able to detect correctly 99% of normal domains, 97% of DGA and 92% of Tunneling, with a False Positive Rate of 2.8%, 0.7% and 0.0015% respectively and the advantage of having 44% fewer trainable parameters than similar models applied to DNS threats detection.
The effects of sr2w-1 supplementation on high-intensity cycling performance and lactate metabolism

Purpose: The purpose of this investigation was to examine the effects of SR2W-1 herbal supplementation on cycling performance, muscle and blood lactate, and various physiological parameters including blood glucose, heart rate (HR), rating of perceived exertion (RPE), oxygen consumption (VO2), expired ventilation (VE), respiratory exchange ratio (RER), and femoral artery blood flow. Methods: Seven recreational cyclists (Age: 26.7 ± 9.8 yrs, Height: 172.5 ± 13.3 cm, Weight: 67.1 ± 10.7 kg, and VO2max: 59.5 ± 11 mL/kg/min) performed 20-min of steadystate cycling (~85% VO2max, 212.1 ± 25.0 W) followed by three 1-min high intensity intervals at VO2max workload (272.9 ± 26.9) with 30-sec active recovery periods at 100 watts. Following intervals, a 15-min passive recovery period preceded a ride to fatigue at VO2max workload. Subjects completed trials on four occasions; preceding and following 21 days of 1000mg/d SR2W-1 (EXP) or 1000mg/d placebo (PLA) assigned in random order. The Wilcoxon Signed-Rank Test was used to compare change-scores from preto postPLA and EXP conditions. Results: No differences reported for any dependent variable and performance times were not different between PLA (pre-PLA: 180 ± 48 s; postPLA: 198 ± 56 s) and EXP (pre-EXP: 170 ± 57 s; post-EXP: 191 ± 50 s). Conclusion: Notwithstanding the small sample size, 3 weeks of SR2W-1 supplementation does not appear to aid cycling performance, attenuate skeletal muscle fatigue, or modify general physiological responses to exercise.
Prevalence and Associated Risk Factors of Hypertension Among Adults in Palpa District, Nepal

Introduction: Hypertension mostly remains asymptomatic when controlled, however, there is always an increased risk of heart disease, stroke, and renal failure. The higher the blood pressure, the higher the likelihood of harmful consequences to the heart, blood vessels, eyes, brain, and kidneys. Methods: A community-based cross-sectional study was conducted in the adult population. The blood pressure was measured from the left arm, the respondents in sitting posture and arm support at the heart level. Results: The prevalence of hypertension was 22% and higher in people above 60 years of age. The prevalence of hypertension was more in people who had elevated waist to hip ratio (65%) and positive family history (40.8%). Prevalence of hypertension was observed in diabetic people and those who smoked, only 19.8% non-diabetic and 19.5% non-smokers had hypertension. Conclusion: The prevalence of hypertension was seen positively associated with increasing age, smoking, alcohol sedentary lifestyle, diabetes, stress, central obesity and >25 BMI.