Miracle-dz/UniFAR-FTUs huggingface dataset:
A Fern Antipodal Vivaldi Antenna for Near-Field Microwave Imaging Medical Applications

This investigation presents an oval slot edge (OSE) antipodal Vivaldi antenna (AVA), hereinafter referred to as Fern AVA (FAVA), with an optimized radiation pattern. The use of OSE provided improvements in the antenna characteristics, especially regarding a lower frequency limit reduction, an increase in the main lobe (ML) gain, and the sidelobe level (SLL) reduction. Those contrasting characteristics are simultaneously obtained through the class of the Palm Tree antennas. The proposed FAVA at 1.5 GHz shows an improved gain of 6.66 dB, −12.9 dB of SLL, and 0° of ML squint (MLS), in contrast with 4.41 dB of gain, −4.5 dB of SLL, and 4° of MLS in the conventional AVA. For the FAVA, the notches in an elliptical shape, in addition to mitigating the SLL, direct the ${E}$ -fields distributions toward the ML, which categorizes it into the same class as the Palm Tree Vivaldi Antenna. To study the performance of the proposed antenna for medical applications of near-field microwave imaging, a conceptual proof was performed, thus obtaining the microwave image of a Child Head Phantom, homogeneous, and semirealistic, being possible to detect a brain tumor.
Anomaly Detection for In-Vehicle Network Using CNN-LSTM With Attention Mechanism

With the increasing connectivity between the Electronic Control Units (ECUs) and the outside world, safety and security have become stringent problems. The Controller Area Network (CAN) bus is the most commonly used in-vehicle network protocol, which lacks security mechanisms by design, so it is vulnerable to various attacks. In this paper, we propose a novel intrusion detection model called CNN-LSTM with Attention model (CLAM) for the in-vehicle network, especially CAN. The CLAM model uses one-dimensional convolution (Conv1D) to extract the abstract features of the signal values at each time step and feeds it into the Bidirectional Long Short Term Memory (Bi-LSTM) to extract the time dependence. By combining the attention mechanisms, we calculate the weight of each hidden state output by Bi-LSTM and perform a weighted summation, so that the model focuses only on locally important time steps, which can improve the convergence speed of the model and prediction accuracy. The proposed model uses the bit flip rate to extract continuous signal boundaries in the 64-bit CAN data, so it does not need to parse the CAN communication matrix and is suitable for different vehicles. The extensive evaluation results demonstrate that our proposed CLAM model can effectively detect CAN attacks, with an average F1-score of 0.951 and an error rate of 2.16%. Compared with the work in related research fields, the accuracy of attack detection is improved by 2.5%.
A Novel More Electric Aircraft Power System Rectifier Based on a Low-Rating Autotransformer

From a theoretical and practical point of view, to increase rating and decrease the cost and complexity of a multi-pulse rectifier (MPR), its pulse number has to be increased. In many industrial applications, a 20-pulse rectifier is suggested as the practical solution considering its simple structure and low weight. But the 20-pulse rectifiers, suggested in different studies, must use filters to satisfy the DO-160G requirements for 21st and 39th harmonics for ac–dc more electric aircraft (MEA) power systems. To overcome this problem, this article proposes a novel 20-pulse rectifier for the ac–dc MEA power system based on a low-rating autotransformer (LRA). Also, a passive harmonic reduction circuit (PHRC) is used on the dc side of the 20-pulse rectifier to suppress the harmonics up to the 40th order according to DO-160G without using any filter. In this article, simulations are provided to show the merits of this new rectifier over other proposed solutions. Then, an experimental prototype is implemented for evaluating and verifying the simulation results. By investigating the captured outcomes, this article concludes that the introduced design is practical and can simultaneously consider the trade-off among autotransformer structure, pulse number, complexity, rating, and cost.
Quality of life in sarcopenia measured with the SarQoL® and nutritional status

Background The purpose of this study was to evaluate the relationship between nutritional status and health-related quality of life (HRQOL) after adjusting for covariates of muscle mass, calf circumference, grip strength, and the timed up and go (TUG) test for diagnosis of sarcopenia. Methods A total of 324 elderly people living in rural villages who were able to move to senior and welfare centers was surveyed. To determine the nutritional status of the elderly subjects, a questionnaire-based screening tool called DETERMINE was used. Developed as a health-related quality of life tool for sarcopenia, the Sarcopenia-specific Quality of Life (SarQoL) questionnaire was used. For screening of sarcopenia, a rapid questionnaire based on self-reported information about falls, mobility, and strength known as the SARC-F questionnaire was used. Assessment of sarcopenia included skeletal muscle mass, calf circumference, grip strength, and the timed up and go (TUG) test. Results As a result of evaluating the relationship between SarQoL and nutritional risk in elderly subjects, the relationship between total SarQoL score and nutritional status was statistically significant in the moderate-risk group (B = -5.542, p = 0.001) and in the high-risk group (B= - 8.136, p < 0.001) in comparison to the low-risk group. Significant correlations were found in all seven domains of SarQoL, except the fear domain. The domain of ​​leisure activity was not related to variables assessing sarcopenia, but only to nutritional risk assessment (moderate-risk group (B = -8.662, p = 0.004) and high-risk group (B = -14.943, p < 0.001)). Conclusions We confirmed an association between quality of life dimensions surveyed by the SarQoL questionnaire and nutritional status. Appropriate interventions are needed following brief evaluation of sarcopenia and nutritional deficiency among elderly people in communities.
High Fibre Diet Reduced the Energy Cost of Production and Abdominal Fat of Broiler Chickens

| High fibre diet might reduce feed cost of broilers but increase the meat quality. We investigated the meat quality and feed cost by the inclusion of high fibre in broiler chickens’ diets. Two hundred and eighty-eight day-old Cobb 500 broiler chickens, (about 42 g each), were fed on the 6 treatments, each replicated 6 times, with 8 birds per replicate. The chicks were fed on commercial-types diets from 1-10 days (starter). Subsequently, they were offered grower (11-24 days) and finisher (25-35 days) diets, which differed in fibre and energy contents. The diets were similar in nutrient composition, formulated in line with Cobb requirements. The chicks were reared in cages in a climate-controlled room with ad libitum water and feed. Feed intake (FI), body weight gain (BWG), and feed conversion ratio (FCR) were measured. At day 35, visceral organs, breast, thigh, drumstick and fat pad were collected and weighed. At the same day, one more bird was killed (after 4-hour fasting) through cervical dislocation and a subsample of the whole bird was taken after chopping for fat analyses. Birds on the high-fibre diets did not differ significantly in weight gain but were more efficient in nutrient utilization. High-fibre diets stimulated the development of the gastrointestinal tract, with heavier intestines (P < 0.006), and proventriculus (P < 0.026) at 24 days, and small intestine (P < 0.006) and liver (P < 0.020) at 35 days. Dietary fibre content significantly lowered (P < 0.002) abdominal fat pad, and increased (P < 0.010) breast meat yield. Feed cost was reduced due to a reduction in energy content in the grower ($0.54 vs 0.58 per bird) and finisher ($0.54 vs 0.57 per bird) phases. Low dietary energy combined with cheap high-fibre ingredients greatly reduced the costs of diets and reduce the carcass fat content.
Foliar application of liquiritin protects Chinese flowering cabbage against cucumber mosaic virus and increases health-promoting compounds

ABSTRACT Decades of research have revealed notable similarities between the immune systems of the plant and animal kingdoms. Liquiritin has long been used to stimulate the body immunity in animals against an array of diseases. Considering the homology of some induced immune responses between animals and plants, we examined the effects of exogenously applied liquiritin to stimulate defense responses in Chinese flowering cabbage plants against cucumber mosaic virus (CMV) infection under greenhouse and field conditions. Foliar application of liquiritin (200 ppm) effectively suppressed the development of CMV symptoms by not less than 40% compared with the control in cabbage plants in both greenhouse and field trials along with the significant increases in the marketable yield and nutritional quality of cabbage. Liquiritin application enhanced the production of phenolic compounds and different defense-related enzymes in treated plants. Moreover, quantitative real-time PCR analysis revealed that liquiritin significantly up-regulated the expression of different defense-related genes upon pathogen inoculation, indicating an induction of the salicylic acid-mediated defense system. Collectively, the findings of this study indicate that liquiritin can effectively control CMV in cabbage plants.
GENETIC EVALUATION OF TWENTY DIVERSE GENOTYPES OF OKRA (ABELMOSCHUS ESCULENTUS L. MOENCH) IN HILLY REGIONS OF NORTH INDIA

An experiment was conducted during the Monsoon season of 2020 to evaluate twenty genotypes of okra for agro-morphological traits collected from Krishi Vigyan Kendra (KVK) for yield and its contributing characters under field conditions at Jawali, District Kangra, Himachal Pradesh. High significance of analysis of variation showed the existence of large variability among the genotypes. The experiment was laid out in randomized block design with three replications and 10 plants/row. Highest GCV and PCV was found for 100 seed weight followed by days to first flowering node, yield per plant. While the lowest was observed for fruit girth, plant height and fruit length which determines the negligible influence of environment on the different traits. High broad sense heritability was observed for days to first flowering node and genetic advance was recorded highest for yield per plant. Average fruit weight, fruit length and fruit girth were in positive and significant relationship with yield per plant. Principal component analysis revealed the first four major principal components having Eigen value >1 which contributed 82.693% of the total variation. Cluster analysis suggested that the hybridization of cluster I with cluster II would be beneficial for developing varieties in different parts of India because of the variation present between both the clusters.
Transformation of WOM (Word of Mouth) From Traditional to Digital and Current Recommendations for e-WOM

The conceptual and technological transformation of word of mouth (WOM) is one of the most effective and old factors in customers' purchasing decisions. Although digital WOM is expressed as e-WOM, it is similar to traditional WOM, but it differs in the perception of trust, as well as in speed and scope. It affects the fate of companies both positively and negatively. For this reason, it is essential for marketers to inactively and proactively develop e-WOM strategies that are as personalized as possible to ensure that a positive mark is left on the customers. This study demonstrates the e-WOM strategies and tactics that are relevant today to provide guidance to marketers.
Augmented Reality in Manufacturing: Exploring Workers’ Perceptions of Barriers

Augmented reality (AR) integrates virtual information realistically into a user's field of view. While research and industry forecasts agree that it will take several years for AR to be developed into a mass market technology, companies have already started rolling it out as an enterprise tool. By providing their workers virtual work-related information into the field of view, companies expect higher levels of efficiency. While some studies have tackled the positive aspects of AR, very little is known about potential barriers to AR in manufacturing. In this article, we constitute the first attempt to close this research gap by drawing on technology resistance research, incorporating findings from pilot studies, and analyzing data received from 263 manufacturing workers. As a result, it complements the extant literature by identifying multiple barriers to AR adoption on the worker level, assessing the magnitude of these barriers across different groups of workers, and identifying their relationships with technology resistance and acceptance factors. The findings extend technology resistance research, contribute to AR user research, and provide multiple recommendations for AR managers.
A High-Efficiency 27–30-GHz 130-nm Bi-CMOS Transmitter Front End for SATCOM Phased Arrays

A high-efficiency 27–30 GHz 0.13-<inline-formula> <tex-math notation="LaTeX">${{\mu } \text {m}}$ </tex-math></inline-formula> BiCMOS transmitter front end for mobile satellite communication (SATCOM) phased arrays is presented. A system-level analysis for determining the key parameters of the RF front end for the case of a SATCOM user terminal for geostationary Earth orbit (GEO) is presented. The building blocks of the beamformer, consisting of a phase shifter, variable attenuator, and power amplifier, are fully characterized. A 360° phase shifter with an accuracy of 7 bits and amplitude error of ±1.5 dB is integrated with a variable attenuator that provides a gain variation of 16 dB with phase error of ±5°. The chip has a measured transducer gain of 23 dB and a power consumption of 45 mW at OP<sub>1dB</sub> of 10.8 dBm. The power-added efficiency (PAE) of 26.7% is measured for the entire channel at OP<sub>1dB</sub>. An error vector magnitude (EVM) of −28 dB at P<sub>out,avg</sub> of 6 dBm and PAE<sub>avg</sub> of 12% is measured for a 400-MHz bandwidth 64-QAM modulated signal. The overall size of the chip is <inline-formula> <tex-math notation="LaTeX">${1.18} \times {2.23}\,\,\text {mm}^{{2}}$ </tex-math></inline-formula>.
Novel Integrated Framework of Unmanned Aerial Vehicle and Road Traffic for Energy-Efficient Delay-Sensitive Delivery

Unmanned aerial vehicle (UAV) has demonstrated its usefulness in goods delivery. However, the delivery distances are often restrained by the battery capacity of UAVs. This paper integrates UAVs into intelligent transportation systems for energy-efficient, delay-sensitive goods delivery. Dynamic programming (DP) is first applied to minimize the energy consumption of a UAV and ensure its timely arrival at its destination, by optimizing the control policy of the UAV. The control policy involves decisions including flight speed, hitchhiking (on collaborative ground vehicles), or recharging at roadside charging stations. Another key aspect is that we reveal the conditions of the remaining flight distance or the elapsed time, only under which the optimal action of the UAV changes. Accordingly, thresholds are derived, and the optimal control policy can be instantly made by comparing the remaining flight distance and the elapsed time with the thresholds. Simulations show that the proposed algorithms can improve the flight distance by 48%, as compared with existing alternatives. The proposed threshold-based technique can achieve the same performance as the DP-based solution, while significantly reducing the computational complexity.
Discretionary Cut-In Driving Behavior Risk Assessment Based on Naturalistic Driving Data

Cut-in driving behavior is one of the basic micro traffic actions for vehicles. A risk assessment helps vehicles execute the behavior well and determine how to react to the same maneuver from other traffic participants when following a leading car or truck. This article presents a discretionary cut-in driving behavior risk assessment method based on field driving data and a united algorithm that is designed to a combine decision tree and a support vector machine to achieve enhanced sensitivity for the riskiest traffic conditions. To build the learning database, a wavelet method is employed to filter naturalistic driving data, incorporating the K-means approach. An unsupervised data learning method is used to categorize the impact on vehicles in the target lane, indicated by a target vehicle’s average and maximum deceleration, into three groups. Experiment results based on self-collected and public databases show that tested vehicles are aware of the risk presented by other cars’ and trucks’ cut-in driving as well as their own impact on traffic participants in the target lane.
Characteristics of psychiatric manifestations among hospitalized COVID-19 patients and their correlation with disease severity – a cross sectional study

Purpose COVID-19 severity, characteristics of psychiatric symptoms using a brief psychiatric rating scale, and sociodemographic variables were explored and evaluated. Methods An exploratory study was conducted during the COVID-19 pandemic, from July 13th to July 26th 2020, in an isolation facility at the COVID-designated Sola hospital in Ahmedabad, India. A total of 201 inpatients diagnosed with COVID-19 by reverse transcription-polymerase chain reaction (RT-PCR) were included in this study. We assessed the presence and severity of psychiatric symptoms using the Brief Psychiatric Rating Scale (BPRS). Results Of the 201 COVID-19 patients, 63 (31.3%), 36 (18%), 16 (8%) and 14 (7%) experienced anxiety, tension, somatic concern and depressed mood respectively. The effect of the severity of COVID-19 on the mean of the total BPRS score was statistically signi- ficant (F = 17.2, p = 0.000). In the severe COVID-19 group, the mean of the total BPRS score (22.6 ± 4.8) was significantly higher than in the moderate (20.3 ± 4.0) and mild (19.1 ± 2.2) COVID-19 groups. High levels of serum ferritin, IL-6 and D-dimer were associated with the presence of neuropsychiatric symptoms like hallucinatory behavior and disorientation. Conclusions The majority of COVID-19 patients experienced anxiety, tension and somatic concern. The presence of serious psy- chiatric symptoms like hallucinatory behavior and disorientation were predominantly seen in severe COVID-19 patients with signi- ficantly high serum inflammation and coagulation markers.
Rotavirus hijacks  host gluconeogenesis-related signaling pathway to promote self-replication in Caco-2 cells

Viruses have evolved mechanisms to usurp the host's metabolic resources for their own biosynthesis and replication, but host's glucose metabolism change after rotavirus (RV) stress remains unclear. The metabolic profile and differential gluconeogenesis analysis was performed by gas chromatography-mass spectroscopy on RV-infected cells.47 potential differential metabolites were identified to verify glycolytic/gluconeogenesis pathway after RV infection. Glucose consumption and key enzymes of gluconeogenesis (glucose 6-phosphatase (G-6-pase) and phosphoenolpyruvate carboxylase (PEPCK)) were further examined by glucose oxidase-peroxidase method and enzyme linked immunosorbent assay. We found the impairment of glucose consumption, G-6-pase and PEPCK activities which promote gluconeogenesis, were tested in RV infected Caco-2 cells. By Western blot analysis, further studies detected the downregulation expression level of SIK2, which was affected by its upstream proteins of downregulated PDK1, AKT and upregulation p-JNK, and as a consequence influenced the function of gluconeogenesis. In short, RV infection altered the glucose consumption in infectious Caco-2 cells and activated the host cellular gluconeogenesis, which was hijacked through p-JNK-PDK1-AKT-SIK2 signaling pathway for its proliferation and replication with accelerating non-sugar substances conversion into glucose.
Smoking Trends: A Cross Sectional Study in Dengkil, Sepang, Selangor, Malaysia

It is estimated that more than 27,200 of Malaysians’ deaths annually are related to smoking. Majority of the smokers start smoking at the early age, smoke more than 15 years and spend less than RM 100 for cigarettes in a month. So, this study aims to determine the trend of smoking among smokers in a residential area in Dengkil, Sepang, Selangor. A cross-sectional study was conducted among Malaysian, aged more than 18-year-old with a combination of stratified, systematic and simple random sampling. Respondents who fulfill the inclusion & exclusion criteria were interviewed using a validated questionnaire and data were analysed using SPSS. The prevalence of current smoker was 23.5% with higher among male (50.7%), single (31.0%) and self-employed (44.1%). Peer pressure plays important role in either to start or to quit from smoking. It is important to increase awareness program primarily in educational institutions such as schools and colleges. Keywords: smoking, trend, prevalence, sub-urban, Selangor, Malaysian.
Otolith-based approaches indicate strong effects of environmental variation on growth of a critically endangered estuarine fish

In estuaries, fluctuating environmental conditions exact strenuous physiological demands on the fishes that inhabit these oft-impacted areas, including the Critically Endangered delta smelt Hypomesus transpacificus in California (USA). Using an archive of otoliths spanning 2011−2019, we examined how growth rates of wild subadult delta smelt vary ontogenetically, regionally, and in relation to variation in the physical environment during late-summer and fall in the upper San Francisco Estuary. Recent growth rates were quantified using otolith increment analysis and modeled as functions of both intrinsic (age) and extrinsic (temperature, salinity, clarity, and region) factors using a suite of generalized additive models. Age explained 60% of the variation in log10-transformed growth rates, which peaked at 50−80 d post hatch. Overall, ageadjusted growth rates declined at temperatures >20°C, increased with practical salinity values of 0−4, and exhibited interactive patterns with water clarity. Growth rates appeared highest in the West and Central Delta, and lowest in the North Delta, also corresponding with patterns in environmental conditions. Here, we provide new evidence for how vital rates of wild delta smelt vary spatially and in relation to abiotic environmental variation. Such otolith-based growth reconstructions often provide the first direct look at how the vital rates of wild fish respond to environmental variation in situ, and how future changes are likely to affect the dynamics of wild populations.