Miracle-dz/UniFAR-FTUs huggingface dataset:
Degree of mismatch between anthropometric characteristics and school furniture in a sample of Spanish students aged 6-12 years old: A pilot study.

Introduction School furniture affects the sitting position of students in the classroom, as well as their health and learning. Therefore, it is necessary to determine the existence of a potential mismatch between school furniture dimensions and students' anthropometric characteristics, as well as to propose dimensions based on classroom actuality and the regulations in place in both Galicia and the European Union. Population and methods An evaluator with experience in anthropometry measured weight, height, popliteal height, sitting shoulder height, and sitting elbow height using an anthropometer and then compared values with the chairs and desks currently used. Analysis techniques were descriptive (measures of central tendency), single-factor analysis of variance, t test, χ² test (using the SPSS® software), and effect size (Cohen's d test). The significance level was established at p ≤ 0.05. Results The sample was made up of 108 Spanish children in primary school (aged 6-12 years). Of them, 91.7 % and 97.2 % use, respectively, a chair and a desk that do not adjust to their anthropometric characteristics and use furniture that is larger than what they need. The regulations for furniture dimensions currently in place for the studied population are not adequate because the chairs and desks included are not adequate for the first grades of primary school. Conclusions There is a high mismatch level between school furniture and students' anthropometric characteristics. We propose the use of the European regulations for furniture dimensions, with varying heights per grade or adjustable furniture that can be adapted to the anthropometric characteristics of all students.
Dominant Feature Selection and Machine Learning-Based Hybrid Approach to Analyze Android Ransomware

Ransomware is a special malware designed to extort money in return for unlocking the device and personal data files. Smartphone users store their personal as well as official data on these devices. Ransomware attackers found it bewitching for their financial benefits. The financial losses due to ransomware attacks are increasing rapidly. Recent studies witness that out of 87% reported cyber-attacks, 41% are due to ransomware attacks. The inability of application-signature-based solutions to detect unknown malware has inspired many researchers to build automated classification models using machine learning algorithms. Advanced malware is capable of delaying malicious actions on sensing the emulated environment and hence posing a challenge to dynamic monitoring of applications also. Existing hybrid approaches utilize a variety of features combination for detection and analysis. The rapidly changing nature and distribution strategies are possible reasons behind the deteriorated performance of primitive ransomware detection techniques. The limitations of existing studies include ambiguity in selecting the features set. Increasing the feature set may lead to freedom of adept attackers against learning algorithms. In this work, we intend to propose a hybrid approach to identify and mitigate Android ransomware. This study employs a novel dominant feature selection algorithm to extract the dominant feature set. The experimental results show that our proposed model can differentiate between clean and ransomware with improved precision. Our proposed hybrid solution confirms an accuracy of 99.85% with zero false positives while considering 60 prominent features. Further, it also justifies the feature selection algorithm used. The comparison of the proposed method with the existing frameworks indicates its better performance.
Reduced Graphene Oxide Screen Printed Thick Film as NO2 Gas Sensor at Low Temperature

Most of the recent reduced graphene oxide (rGO) based sensors shows gas sensitivity above 50o to 150°C. The present investigation deals with the gas sensing at 50°C temperature. In the present research work, thick film sensors of rGO were developed on glass substrate by using standard screen-printing technique. The silver paste of rGO was used to make electrodes for contact on thick films for the electrical and gas sensing system. The electrical properties of rGO thick films such as resistivity, activation energy and temperature coefficient were studied. The resistivity of rGO thick films was found to be 84.84 Ω/m. The morphological, elemental and structural properties of rGO thick films were analyzed by SEM, EDS and XRD techniques respectively. The crystallite size of rGO thick films was found as 28.42 nm by using Scherer’s formula. The rGO thick films were prepared and exposed to Ethanol, NH3, NO2 and LPG gases to determine sensitivity and selectivity. The sensitivity of NO2 has been found to be maximum among other exposed gases. The maximum sensitivity of NO2 gas was 92.55 % at 50 °C found with fast response (~ 11 sec) and recovery (~ 19 sec) time.
Using the S-o-r Model to Understand the Impact of Website Attributes on the Online Shopping Experience

Using Mehrabian and Russell’s (1974) stimulus (S) - organism (O) - response (R) model, this study developed online shopping experience framework that explains consumer behavioral responses toward online and offline stores. The results of the examined hypothesized relationships in this study reveal website attributes that create positive affective and attitudinal states and behavioral responses toward the retailers and retailers’ websites. Among website attributes, interface design is the strongest predictor of all behavioral responses, while website attributes relating to shopping services and security/privacy affect long term behavioral responses, such as purchase intention and brand loyalty. This study is imperative to practitioners and researchers, as they will help further develop online store environments and online shopping experience.
Design and Planning of The Porang Supply Chain in South Sumatra

The length of the existing porang (Amorphopallus Muelleri B) supply chain is causing a problem on porang farmers in South Sumatra. The purpose of this research was to construct a P4S Karya Tani porang supply chain with two evaluation steps. First beginning, identify the potential demand for porang in South Sumatra from either the demand and supply perspective. Second, consider the challenges of maximizing market demand in the porang supply chain in South Sumatra. The research employed a qualitative descriptive method with a philosophical approach to supply chain management theory. Based on the discussion, P4S as evaluated the porang supply chain design, determining that small and large traders must be eliminated as intermediaries, allowing them to sell porang raw materials direct to consumers and agro-industry enterprises that export porang. All elements, including that of the local government, Sriwijaya University, the corporate sector, and banking institutions, should be involved in the P4S porang supply chain planning. This collaboration is crucial in order to connect and transform the paradigm of direct sales to consumers, enabling P4S porang farmers to sell to the nearest consumer, PT PIP in South Lampung, via a contract farming system.
Ultrasound Markers for Complex Gastroschisis: A Systematic Review and Meta-Analysis

Although gastroschisis is often diagnosed by prenatal ultrasound, there is still a gap in the literature about which prenatal ultrasound markers can predict complex gastroschisis. This systematic review and meta-analysis aimed to investigate the ultrasound markers that characterize complex gastroschisis. A systematic review of the literature was conducted according to the guidelines of PRISMA. The protocol was registered (PROSPERO ID CRD42020211685). Meta-analysis was displayed graphically on Forest plots, which estimate prevalence rates and risk ratios, with 95% confidence intervals, using STATA version 15.0. The combined prevalence of intestinal complications in fetuses with complex gastroschisis was 27.0%, with a higher prevalence of atresia (about 48%), followed by necrosis (about 25%). The prevalence of deaths in newborns with complex gastroschisis was 15.0%. The predictive ultrasound markers for complex gastroschisis were intraabdominal bowel dilatation (IABD) (RR 3.01, 95% CI 2.22 to 4.07; I2 = 15.7%), extra-abdominal bowel dilatation (EABD) (RR 1.55, 95% CI 1.01 to 2.39; I2 = 77.1%), and polyhydramnios (RR 3.81, 95% CI 2.09 to 6.95; I2 = 0.0%). This review identified that IABD, EABD, and polyhydramnios were considered predictive ultrasound markers for complex gastroschisis. However, evidence regarding gestational age at the time of diagnosis is needed.
Design of Minimum BER Linear Space-Time Block Codes for MIMO Systems Equipped with Zero-Forcing Equalizer{Correlated Channels

In this thesis, we consider a coherent MIMO system, emphasizing on the simplicity of implementation at both the code generator and the receiver. Specifically, we consider the transmission of a space-time block code (STBC) that is a linear combination of coding matrices weighted by the information symbols through a receiver-correlated flat-fading channel and received by a linear ZF detector. Our target is the design of a code which, while maintaining full data-transmission rate, minimizes the asymptotic average (over all the random channel coefficients) bit error probability of an ZF detector. To this end, we first ensure that the full data rate of symbols is maintained, and then, based on the BER for 4-QAM signals, we derive the conditions for optimal codes and establish a code structure that minimizes the asymptotic average bit error probability. We also prove that the diversity gain of our M × N MIMO system is N − M + 1. The resulting optimum code structure requires the individual coding matrices to be mutually orthogonal when vectorized and is related to covariance matrix of correlated channel. The first optimum structural characteristics of the coding matrices is described as trace-orthogonal. A new approach to express expected value of random correlated channel has been proposed as well. Our optimum code structure under statistically known CSI has the similar structure under fully known CSI [1]. From simulation results we can see that advantage of optimum code over uncoded iv system is more apparent as channel correlation is higher.
EXPERIMENTAL DESIGN FOR SIMULTANEOUS PRODUCTION OF PHB, MESOPHILIC PROTEASES AND LIPASES

ABSTRACT : Bacillus species are able to produce PHB, Proteases and Lipases. Bacillus subtilius , Bacillus pumilus , Bacillus therigienesis and Bacillus sp. were used. Plackett-Burman, Box-Behnken design and the Excel solver were used to optimize the production. The statistical analysis of the results proved insignificant relationship between the media compositions and the responses. The results clearly proved a competition between the production of PHB, Proteases and Lipases. Meanwhile systematic experimental design succeeded to minimize this competition. The maximum gained PHB in this study were 16.48 g/l/48 hr. In case of Proteases and Lipases were 534, and 22.56 Units/ml/48 h respectively. The strategies used in this study are recommended for simultaneous production of PHB and proteases. For some extend lipases produced too.
The geography of Oxia Planum

ABSTRACT We present the geography of Oxia Planum, the landing site for the ExoMars 2022 mission. This map provides the planetary science community with a framework to understand this, until recently, unexplored area. The map comprises (1) a mosaic of the panchromatic Context Camera (CTX) Digital Elevation Models (DEM) and Ortho Rectified Images (ORI) controlled to the High Resolution Stereo Camera (HRSC) multiorbit Digital Elevation Models (DEM) and (2) a mosaic of Colour and Stereo Surface Imaging System (CaSSIS) synthetic colour data products, registered to the CTX ORI mosaic. We define a grid of exploration quadrangles (quads) and an informal group of geographic regions to describe Oxia Planum. These regions bridge the scale gap between features observed on large areas (∼100s km2) and the local geography (10s km2) relevant to the Rosalind Franklin rover’s operations in Oxia Planum.
Determining the Self-Limiting Electrospray Deposition Compositional Limits for Mechanically Tunable Polymer Composites

Electrospray deposition (ESD) is a versatile micro/nano coating technology that utilizes the competition between surface charge of a droplet and its surface tension to create monodisperse generations of micro/nano droplets. ESD can deposit uniform thin films by including dilute solutes in these droplets. One mode of ESD, self-limiting electrospray deposition (SLED), has been shown to exist when glassy polymers are sprayed in a volatile solvent below the polymer glass transition temperature (Tg). This leads to charge accumulation on the coating surface that slows the growth of the film thickness. Since solutes can be easily blended in dilute ESD solutions, we investigate the SLED limits of self-limiting and non-self-limiting solute blends. As a motivating application, we focus on mechanical properties of the film. Specifically, we blend self-limiting polystyrene (PS) and SU-8 epoxy resin with different non-self-limiting mechanical modifiers, such as plasticizers and curing agents. To characterize the resulting morphologies and mechanical properties, we employ scanning electron microscopy and nanoindentation of as received and smoothed films. The results illustrate the formation of composited polymers that exhibit self-limiting ability by SLED, depending on the interaction between the two components. Further, mechanical properties could be effectively fine-tuned within these compositional ranges. This signifies the 3D coating capabilities through SLED can be implemented incorporating additional functionalities and properties beyond the base matrix.
Control system design for a 20 kW wind turbine generator with a boost converter and battery bank load

This paper describes the design of a boost type DC/DC converter for a 20 kW wind turbine generator. The generator phase inductance is big enough so no extra DC inductor is required. The electrical system is modeled using the power electronics and motor control software package PSIM, then a current controller is designed. Its steady state and transient performance shows that the generator phase inductance helps to smooth the generator phase current with a reasonable lagging angle. Furthermore, a simple current-torque model is derived for the electrical system. This model together with that of the mechanical system enables the design of the speed control loop based on the turbine tip speed ratio (TSR), the ratio of the blade tip speed to the wind speed. The simulation result based on MATLAB/SIMULINK shows the power tracking with wind variation. The whole control system is being implemented using an embedded controller.
Measurement of Anticoagulation in Patients on Dabigatran, Rivaroxaban, and Apixaban Therapy by Novel Automated Thrombelastography

Background: Direct-acting oral anticoagulants (DOACs) do not require monitoring. Measurement of DOAC effect would be useful in the event of bleeding, trauma, and thromboembolism while on anticoagulation. We evaluated the effectiveness of the investigational DOAC assays on the TEG®6s Hemostasis Analyzer to assess the anticoagulant effect of DOACs in patients treated for atrial fibrillation or DVT. Methods: Patients on treatment for a minimum of 7 days with standard doses of dabigatran, rivaroxaban and apixaban were included. DOAC plasma concentrations and TEG®6s R-time were measured and correlated. The sensitivity, specificity and negative predictive value (NPV) of R-time to detect DOAC concentrations of ≥ 30, ≥ 50 and ≥ 100 ng/mL were calculated. Results: 189 Subjects were included, (n=50) on apixaban, (n= 62) on rivaroxaban, (n=53) on dabigatran and (n=24) on no DOAC were studied. Using the direct thrombin inhibitor (DTI) channel, R-time demonstrated strong linear correlation with dabigatran levels (r = 0.93, p < 0.0001). Using the anti-factor Xa (AFXa) channel, R-time demonstrated strong non-linear correlation with rivaroxaban and apixaban levels (rs = 0.92 and 0.84 respectively, p < 0.0001 for both). R-time revealed strong sensitivity and NPV in detecting low DOAC levels for the predefined concentrations. Conclusion: R-time measured by TEG®6s DOAC Specific cartridge has a strong correlation with concentrations of the most commonly used DOACs, with high sensitivity and NPV for detecting lower drug levels that are considered clinically relevant for patients in need of antidote, or prior to urgent surgery. Further studies to determine the relation of R-time to clinical outcomes are warranted.
Wavelet transform techniques and signal analysis

Traditionally, the most widely used signal analysis tool is the Fourier transform which, by producing power spectral densities (PSDs), allows time dependent signals to be studied in the frequency domain. However, the Fourier transform is global -- it extends over the entire time domain -- which makes it ill-suited to study nonstationary signals which exhibit local temporal changes in the signal's frequency content. To analyze nonstationary signals, the family of transforms commonly designated as short-time Fourier transforms (STFTs), capable of identifying temporally localized changes in the signal's frequency content, were developed by employing window functions to isolate temporal regions of the signal. For example, the Gabor STFT uses a Gaussian window. However, the applicability of STFTs is limited by various inadequacies. The Wavelet transform (NW), recently developed by Grossman and Morlet and explored in depth by Daubechies (2) and Mallat, remedies the inadequacies of STFTs. Like the Fourier transform, the WT can be implemented as a discrete transform (DWT) or as a continuous (integral) transform (CWT). This paper briefly illustrates some of the potential applications of the wavelet transform algorithms to signal analysis.
Planowanie Przychodów Ze Sprzedaży Na Przykładzie Przedsiębiorstw Z Branży Edukacyjnej (Pkd 85) (Sales Planning for Education Companies)

Celem pracy jest zaproponowanie i uzasadnienie przyszlorocznej sprzedazy dla przedsiebiorstwa z branzy edukacyjnej ( PKD 85 ). Raport zlozony jest ze wstepu, opisu metody jaka zostala wykorzystna, praktycznego jej zastosowania na przykladzie analizowanych przedsiebiorstw oraz wnioskow.Sales Planning for Education Companies. Purpose of this raport is to show revenue from sales plans education companies. The Raport contains introduction, description of method which was used, its' practical usage at example of analysed companies and conclusion.Note: Downloadable document is in Polish.
Prediction of 24-Hour Urinary Sodium Excretion Using a Single Spot Urine Samples in Moroccan Population

Background: Excessive sodium intake is linked to high blood pressure. Estimating sodium intake is difficult. The 24-h urine collection is currently the recommended method for estimating intake but cumbersome for large population studies. Predictive model to estimate sodium intake based on single spot urine were developed, but showed inconsistency when used in extern populations. This study aims to develop a specific model for estimating sodium excretion over 24 hours for the Moroccan population. Methods: 371 participants in the urinary validation sub-study of the STEP-wise survey-Morocco 2017-2018 provided a valid 24-hour urine collection and spot urine specimens. Participant were randomly assigned to the training (n=183) and the validation data set (n=188). Results: A prediction model for 24-hour sodium excretion was developed. Adjusted R2 was 0.258. In the validation data set, correlation was 0.431 [95%CI; 0.258-0.580], and the adjusted R2 was 0.190. The Bland-Altman plot showed a nonsignificant small mean bias of -18 mg (95%CI, -213 to 177) in predicting 24-h urinary sodium excretion at the group level. At the individual level, limits of agreement were wide. Conclusion: This new model developed from a single spot urine could be used to predict the average 24-h sodium excretion of Moroccan adults.
Modeling and application of 2D photonic band gap structures

Photonic band gap (PBG) structures have originally been explored in electro-optics. During the last five years, 2D planar PBG circuits have also been used at microwave frequencies. PBG structures behave as high impedance surfaces and suppress surface waves in one or more frequency ranges. Until now, these circuits have only been reliably modeled by numerical methods. A new equivalent circuit model is proposed. The model is based on the transmission line theory and periodic structures. The model is simple, but limited as it only allows for determination of the stop bands for the two principal directions of wave propagation. Nevertheless, it is a useful first step in the design of PBG structures. If this model is coupled with a simple numerical modeling using the FDTD method, it predicts the complete characteristics of the structure. The proposed analytical and numerical modeling is applied to improve the performance of a broadband circularly polarized patch antenna.
Full polarimetric pattern synthesis for an active conformal array

Conformal arrays offer a maximal sensor surface area for a given platform which in turn provides larger array aperture and array gain. When considering such an antenna for an airborne radar, the classical requirements for an electronically scanned antenna pattern remain, such as low sidelobe level and low cross polarization level for both sum and difference beams. This paper presents an iterative full polarimetric least-square synthesis technique for the optimization of the element excitations of an active conformal array antenna. The radiating elements are assumed to be dual polarized. Independent amplitude and phase controls are available to perform the power pattern synthesis, justifying the term of full polarimetric. For an array in its receive mode, the proposed method considers both the co-polarization and cross-polarization components of the antenna pattern, making possible further array processing such as monopulse estimation. A few synthesis examples are presented for a paraboloidal array, for the sum and difference channels.
The Effect of Trait Mindfulness on Teachers’ Emotional Exhaustion: The Chain Mediating Role of Psychological Capital and Job Engagement

Emotional exhaustion has become an important occupational health problem faced by teachers, and it has seriously affected their mental health. It is necessary to pay attention to the factors that affect emotional exhaustion. In this study, 815 frontline university faculty were selected as subjects to explore the relationship between trait mindfulness and emotional exhaustion and the role of psychological capital and work engagement in this relation, using the trait mindfulness, psychological capital, work engagement, and emotional exhaustion scales. It was found that trait mindfulness and emotional exhaustion are negatively correlated; the mediating role of psychological capital between trait mindfulness and emotional exhaustion is not significant; the mediating role of work engagement between trait mindfulness and emotional exhaustion is significant; the chain mediation effect of psychological capital and work engagement between trait mindfulness and emotional exhaustion are significant.