Miracle-dz/UniFAR-FTUs huggingface dataset:
An efficient priority‐based convolutional auto‐encoder approach for electrocardiogram signal compression in Internet of Things based healthcare system

Due to advancements in healthcare monitoring systems, the Internet of Things concepts are proficiently utilized in the medical field to detect and diagnose the physical health problems. The compression of more substantial medical information is a significant issue that requires ample data storage space and takes longer transmission time. Though several compression algorithms are actualized in past cases, there is an absence of an upgraded approach to achieve improved signal compression without influencing signal quality. Hence a proficient signal compression algorithm is proposed in our work to provide an enhanced electrocardiogram (ECG) signal compression without any data loss and to acquire increased compression ratio (CR) and zero construction error. In this proposed approach, the input ECG signal dataset from the MIT‐BIH arrhythmia database gets influenced by noise because of the electrical measuring gadget. Hence, preprocessing is done by the proposed multi‐scoop notch filter (MSNF) to denoise this signal by removing the specified noise frequency range of around (1‐50) Hz. This proposed MSNF is designed with adaptiveness that has achieved the enhanced denoising by adjusting the notch frequency. In addition, to extricate the sophisticated ECG signal features, Fast Fourier Transform is being utilized, and that performs and decomposes the signal elegantly and obtains characteristics of the signal in the frequency domain. After feature extraction, optimal signal compression is performed by our proposed priority‐based convolutional auto‐encoder (PCAE) that provides better compression with almost zero reconstruction error by encoding the signals into lower‐dimensional vectors in convolutional layers which are again reconstructed using a decoding approach. The experimental results are then assessed using the performance metrics that include signal to noise ratio (SNR), CR, and percentage root‐mean‐square difference (PRD). The attained results are 1.83% as average PRD value, average SNR is about 33 dB, and average CR is about 35.2% whereas the traditional CAE approach has average values of 2.05% PRD, 23.45 dB SNR, and 32.2% CR.
Progress on Therapy of Infertility by Integrated Traditional Chinese and Western Medicine

Infertility is one of the difficult complicated diseases. Many couples suffer from it. The pathogenesis is very complicated. The imbalance or lesson of any link of the reproductive system can cause infertility. This paper summarizes the treatment of female infertility by integrated Traditional Chinese Medicine (TCM) and Western Medicine (WM) which can not only improve the ovulation rate and pregnancy rate, but also decrease the complications. The effects are better than that by TCM or WM only. Therefore, the coupling method is worth to be used widely in clinical practice.
Analysis of Air Flow Around the Painting Line for Dust Reduction: An Experimental and Numerical Study

The repair of paint work defects in the painting production process is done by running the parts through the painting process again. It is done together with the requisite quality control routines and involves a very large proportion of the operating costs. The dust defect which ranges between 40% to 50% is found to be the top and highest rejection at the painting line. Hence, this paper is focused to identify the effectiveness of applying Computational Fluid Dynamic (CFD) to identify the air flow and the turbulence pattern to investigate the movement and the dust particle concentration in painting line. Renormalization Group (RNG) k-? turbulence model is used in CFD to predict the particles’ movement and concentration. Five new models including the current painting line design are proposed and tested. The painting line model labelled as Model F is found to be the best model to minimize and reduce the dust particle concentration inside the painting line environment with 96.01% of percentage particle is flushed out at air velocity of 0.1 m/s. Along with results from numerical simulation using CFD, the experimental data is also collected using an air flow meter in a small-scale model painting line. Both data from experiment and CFD simulation are analysed and compared in order to measure the effectiveness of the result. The average relative error for Model F is recorded at 4.76%. The results from this study is recommended to be considered as one of the benchmarks for future design of automotive painting line.
PREVALENCE OF CYBERBULLYING AND TRADITIONAL BULLYING AND THEIR RELATIONSHIP TO SELF‐ESTEEM AMONG HEARING-IMPAIRED ADOLESCENTS

Purpose: bullying among students with disabilities, especially hearing impairment adolescents is a neglected problem in most Arab countries, including Saudi Arabia. Objective: This study aimed to investigate the prevalence of cyberbullying and traditional bullying and their relationship to self‐esteem in adolescent students in southern Saudi Arabia. Methods: Three questionnaires (cyberbullying, traditional bullying, and self‐esteem) were used to assess the studied parameters. They were distributed to 81 students with hearing impairment (10th and 12th grade), (M = 18.64, SD = 1.06). Main Findings: Findings indicated that 56.4% were exposed to traditional victimization, 52.9% bullied others at school, 44.6% were not exposed to victimization, while 47.1% had not participated. Concerning cyberbullying, 90.5% were not exposed to cyber-victimization, and 94.2% had not participated in cyber-bullying. Males were more exposed to traditional and cyber-victimization than females; besides, they were significantly higher in self-esteem than females. We found a statistically significant correlation between traditional victimization and traditional bully. We also found a statistically significant correlation between self-esteem and both traditional victimization and bully, while no significant correlation between self-esteem and cyber-bully/victims. Novelty/Originality of this study: Additional studies are needed to compare the traditional bullying and cyberbullying, and its relationship to psychological variables among Saudi children with disability and typically developing peers. Moreover, there is an urgent need for evolving prevention and intervention programs to overcome bullying and its negative effects among individual and society.
Revenue-sharing contracts in supply chains: a comprehensive literature review

ABSTRACT Revenue sharing contracts (RSCs) have gained considerable popularity over the past two decades—particularly among prominent platform distributors such as the Apple App Store, Google Play, and Amazon— and have therefore attracted a great deal of research attention in the domain of supply-chain management. This study is the first to review the literature dealing with RSCs, a literature in which the number of articles has been growing consistently over the years. Specifically, we aim to provide a comprehensive overview of the state of the art of the research field, and to identify potentially fruitful areas for further exploration. To this end, we have carried out a content analysis of 148 carefully selected papers that address various aspects of RSCs in the domains of operations research and operations management. Our survey classifies and discusses the reviewed papers along numerous dimensions of interest, including the types of contract they incorporate and the research questions they address. We provide mathematical formulations of the two RSC structures that are most prevalent in research and in practice: (i) a wholesale-price contract that incorporates an added revenue-sharing mechanism; and (ii) a consignment contract with revenue sharing.
Design and Evaluation of Compliant Modular XY Positioning Stage

ABSTRACT In precision engineering applications, compliant micropositioning stages with properties of long travel range, high accuracy and compact size are desirable. The majority of the existing research efforts are focused on monolithic compliant positioning stages with above merits. However, the monolithic stages possess a major drawback that failed components cannot be replaced and it requires time-costly machining process, i.e. wire electric discharge machining. To overcome these drawbacks, the stage using the concept of modular design with parallelogram flexure module is proposed. In the modular design, failed components can be easily replaced. The stage is driven by large range voice coil actuators (VCA). The static and dynamic analytical models based on stiffness matrix method are adopted for evaluating the performances of the stage. The accuracy of analytical models is validated by FEA results. Finally, experimental test is carried out to evaluate the performance. The stage provides translational motion of ± 5 mm along working direction and limited cross axes coupling of 10 m in other direction for nonlinear behaviour. The proposed stage has resonant frequency of 15 Hz. The results obtained validate similar static and dynamic performances and trajectory tracking capabilities of the modular micro-positioning stage as that of monolithic stage.
A research on antioxidant activity evaluation of waste lignocellulosic biomass: optimization using response surface methodology

In the present study, lignocellulosic biomass such as corn straw and sorghum were used as raw materials for a new, abundant, low-cost and natural antioxidant source to use in foods or medicinal materials as replacements for synthetic antioxidants such as butylated hydroxyanisole (BHA) and butylated hydroxytoluene (BHT). The effect of extraction temperature, extraction time, solvent volume on extraction yield, total phenol content and antioxidant activity were investigated and the results obtained by response surface methodology (RSM) were evaluated. Linear and quadratic models were revealed as a result of experiments. The fit of these models with predictions results were tested and optimal condition parameters were investigated. It was seen that different results were obtained because of structural differences between corn straw and sorghum. These results showed that the extraction temperature was the main positive linear effect on extraction yield. The solvent volume and temperature were found to important model terms for total phenol content. For antioxidant activity, the solvent volume was the main linear effect for sorghum where as it has a quadratic effect for corn straw biomass.
Effects of Different Genotypes of Switchgrass as a Bioenergy Crop on Yield Components and Bioconversion Potential

Switchgrass (Panicum virgatum L.) is a native warm-season grass and it is one of potential bioenergy crops. The objectives of this study were to: 1) assess the best performing switchgrass genotype suitable for Kansas soil and climatic condition in the USA, 2) determine the correlation between plant height or tiller numbers per plant and dry biomass of various switchgrass genotypes, and 3) assess a bioconversion efficiency of certain varieties of switchgrass. Twenty-two different genotypes of seedlings were allowed to grow in cones for 30 days under controlled environments. The genotype Cave-in-Rock was the shortest among the genotypes. Significant difference in number of tillers per plant was observed among the genotypes. The genotypes Alamo recorded the highest numbers of tiller plant-1 and the genotype Cave-in-Rock had the lowest numbers of tiller plant-1 compared with other genotypes. The genotypes Alamo, NL 94 C2-2, NL 94 C2-3, NSL 2009-1 and NSL 2009-2 had increased above ground biomass compared with other genotypes. The correlation study indicates that there was a significant positive correlation between number of tillers per plant and per plant dry weight (R2 = 0.93), number of tillers per plant and plant height (R2 = 0.94), and plant height and per plant dry weight (R2 = 0.82). Based on the biomass composition, the SWG 2007-2 genotype was the promising switchgrass line for the bioconversion through the sugar platform route due to high carbohydrate and low lignin content. On the other hand, the high biomass yield per unit area of field in NL 94 C2-1 led this genotype with the highest total carbohydrate yield per unit area of field despite the lowest total carbohydrate content in the genotype. These results are pertinent for crop breeders to develop the most promising switchgrass line with high biomass yield and high bioconversion efficiency to produce biofuel through the sugar platform route.
Underpinning the Relationship between Non-Verbal Intelligence and English Literacy Skills at Grade 3: A Psychometric Test-Based Study

1. Assistant Professor of English Linguistics, University of Education (Vehari Campus), Lahore, Punjab, Pakistan 2. Chairman, Department of English, Kohat University of Science & Technology, Kohat, KP Pakistan 3. Lecturer, Department of English, University of Malakand, KP, Pakistan PAPER INFO ABSTRACT Received: May 08, 2020 Accepted: August 25, 2020 Online: September 30, 2020 This study aimed at exploring the relationship of IQ tasks of non-verbal nature with reading, and dictation skills in second language. A number of 66 participants were chosen from a huge sample meant for another study Farukh and Vulchanova, 2014 that had been conducted earlier by one of the current researchers. The specifications of the participant students were that all of them were of the same nine years of age and hailed from schools of public and private sectors situated in a comparatively under-developed district of the Punjab province. The participants were subjected to 7 standard non-verbal IQ tasks i.e. WISC III and Raven’s Advanced Progressive Matrices, and to tasks covering English reading, and dictation skills. On all of the tasks, two diverse types of factors became the basis for loading scores i.e. firstly all of the IQ-related Nonverbal tasks, and secondly WISC IV digit coding, RAPM, arranging pictures, with Reading as well as Dictation.
Targeted Delivery of Methotrexate through pH-sensitive Hydrogel: To Treat Colon Pathology

The purpose of current research work was to formulate and typify gelatin and poly(vinyl) alcohol (Gel/PVA) hydrogel which would be highly pH-responsive and can able to accomplish targeted delivery of methotrexate in order to treat the colo-rectal pathologies. The primed gel/pva hydrogel discs were subjected to various physicochemical techniques i.e. swelling, diffusion co-efficient, sol-gel analysis and porosity using three altered sorts of pH (1.2, 6.8 & 7.4) phosphate buffer solutions for assessment/evaluation, and their characterization was done through Fourier transform infrared spectroscopy (FTIR) and thermal gravimetric analysis (TGA). Shape alteration and controlled methotrexate of release of Gel/PVA hydrogel have been done using three type of pH (1.2, 6.8 & 7.4) phosphate buffer mediums. Methotrexate was loaded through in-situ drug loading method due to hydrophobicity. Different kinetic models (first order & zero order kinetic), Higuchi model and Krosmere peppas model/Power law were applied to manipulate the drug release data. Physicochemical evaluation tests and drug release profile results were found insignificant (p< 0.05) in various pH mediums and dependent upon polymers concentration pH of medium and cross-linker amount. Kinetic model disclosed that release of methotrexate from Gel/PVA hydrogel follow non-Fickian diffusion method. It became concluded from this research work that release of methotrexate Gel/PVA hydrogel in targeted colon area can be achieved for treating colo-rectal disorders.
An Energy-Aware Data Transmission Scheme under the Guarantee of Reliability for 3D WSNs

Three-dimensional wireless sensor networks (3D WSNs) play an important role to provide data collection services for Internet of things (IoT) in the real applications. However, many of the existing WSN data collection researches are based on a relatively simple linear or plane network model. The three-dimensional space problems are simplified to two-dimensional plane, which limits the applicability. In this paper, the data collection in 3D WSN is studied. In the three-dimensional space, we firstly analyze the data loads, energy consumption, and end-to-end (E2E) delay of each node when the network is following the shortest path routing. The mathematical analysis of data loads and E2E delay of each node are presented. Based on the analysis of data loads and energy consumption, an energy-ware data transmission scheme is proposed to achieve the trade-off optimization between the E2E delay and network lifetime under the guarantee of the transmission reliability. The key point of the proposed scheme is to make fully use of the unbalanced energy consumption of the 3D WSN. The performance of the proposed scheme is discussed, analyzed, and evaluated. The theoretical analysis and simulation results show that the E2E network delay and energy efficiency can be improved under the constraint of transmission reliability.
Grease film thickness measurement in rolling bearing contacts

Rolling bearings are the second most used machine components. They work in what it is called elastohydrodynamic lubrication regime. The geometry of rolling element bearings makes the direct measurement of the lubricant film thickness a challenging task. Optical interferometry is widely used in laboratory conditions for studying elastohydrodynamic lubrication however it cannot be used directly in rolling element bearings thus the only suitable methods are electrical techniques. Of these, film thickness measurement based on electrical capacitance of the contacts has been used in the past by a number of authors. One of the limitations of the capacitance method, when used in rolling bearings, is that it cannot distinguish between the contacts of every rolling element and raceway on one hand and on the other between the inner and outer ring contacts. In the present study the authors used an original test rig which can measure the film thickness for only one ball and separately for the inner and outer rings of a radial ball bearing. This paper thus shows for the first-time results of the lubricant film thickness, at the inner and outer raceways, in grease lubricated rolling bearings.
Digestibility and performance of feeder lambs fed mixed barley grain–barley silage diets with varieties of barley silage selected on the basis of in vitro neutral detergent fibre degradability

Abstract Barley silage varieties ranked based on in vitro neutral detergent fibre digestibility (NDFD) of commercial silage samples were designated as high-NDFD (H-NDFD, ‘CDC Cowboy’), intermediate-NDFD (I-NDFD, ‘CDC Copeland’), and low-NDFD (L-NDFD, ‘Xena’) and assessed in digestibility and lamb performance experiments. A replicated 3 × 3 Latin square digestibility experiment fed 50:50 silage:concentrate diets [dry matter (DM) basis] to nine rumen fistulated wethers. A growth study used 42 lambs fed 40:60 silage:concentrate diets (DM basis) with carcass traits being assessed in 21 ram lambs. In vitro NDFD of silages did not coincide with the ranking of field silage samples. Intake and digestibility in wethers did not differ (P > 0.05) among varieties. Mean rumen pH was lower (P > 0.05) for wethers fed L-NDFD than H-NDFD, with rumen pH of wethers fed L-NDFD spending more (P < 0.01) time below 6.2, 6.0, and 5.8. Growing lambs fed L-NDFD had lower (P < 0.01) dry matter intake (DMI) than lambs fed I-NDFD. Dressing percentage was higher (P < 0.05) for ram lambs fed L-NDFD than I-NDFD. Selecting barley silage varieties based on improved in vitro NDFD to improve digestibility and lamb performance is difficult due to yearly differences in forage growing conditions and ensiling dynamics.
Relative Pose Estimation and Planar Reconstruction via Superpixel-Driven Multiple Homographies

This paper proposes a novel method to simultaneously perform relative camera pose estimation and planar reconstruction of a scene from two RGB images. We start by extracting and matching superpixel information from both images and rely on a novel multi-model RANSAC approach to estimate multiple homographies from superpixels and identify matching planes. Ambiguity issues when performing homography decomposition are handled by proposing a voting system to more reliably estimate relative camera pose and plane parameters. A non-linear optimization process is also proposed to perform bundle adjustment that exploits a joint representation of homographies and works both for image pairs and whole sequences of image (vSLAM). As a result, the approach provides a mean to perform a dense 3D plane reconstruction from two RGB images only without relying on RGB-D inputs or strong priors such as Manhattan assumptions, and can be extented to handle sequences of images. Our results compete with keypointbased techniques such as ORB-SLAM while providing a dense representation and are more precise than direct and semi-direct pose estimation techniques used in LSD-SLAM or DPPTAM.
Study on network management systems by using Docker Kubernetes

The development of web based applications is grow up rapidly along with technological advances recently. Therefore the user of web and mobile applications are also increase. So applications can be accessed using a variety of device such as computer, mobile platform, notebook, that’s why ease in the process of deployment of web applications to the server is needed. The previous monolithic technology, the deployment process requires a large amount of resources, scalability, system availability and computational service capabilities. Recently, we present container technology is the solution to dealing large computing services with high traffic, container technology system is created one with libraries, application and configuration files and everything needed. The container can be managed with kubernetes to makes it easier for administrator to control management data efficiently. In this study the retrieval of data is taken from QOS parameters consisting of: throughput, response time. Data from the test will determine the reliability of docker kubernetes based container technology. The suggested result is to compare the QOS multi container process with a single container or virtual private server, deployment and provide an alternative solution to make it easier for administrators to manage containers using the Kubernetes more easily and efficiently.
Phenotypic Stability of Elite Barley Lines over Heterogeneous Environments

It is perceived that barley cultivation has flourished since 9000 years ago. Due to versatile and hardy nature, barley is grown world wide for staple food, industrial and medicinal uses. Barley is used in in form of malt, beer, syrups, maltova, horlicks and delicious chocolates. Thirty diverse elite lines of barley along with six checks were assessed in three environments with two replications for three characters i.e. 1000-grain weight (g), harvest index (%) and grain yield per plant (g). The genotypes x environment (G x E) interactions were significant for all the traits studied. Among twenty three average yielding genotypes, only sixteen genotypes showed suitability for wide adaptation. Better phenotypic stability were observed in four genotypes viz., RD2634, RD2689, JB47 and RD2620 having high yield mean performance, bi=1 and S 2 di=0. These were found promising for wide adaptation over sites across environments. Twelve genotypes namely, JB42, NDB1401, Jyoti, BH657, JB40, NDB1280, NDB1289, NDB1281, RD2552, RD2677, RD2683 and Narendra Jau 3 had average mean performance with bi=1 and S 2 di=0 showing stability over wider range of environments. Only two genotypes viz., DWR51 and K792 associated with bi<1 and S 2 di=0 was found stability for poor environments. Thus, on the basis of mean performance and stability parameters DWR51, JB42, NDB1401, NDB1289, RD2677, JB40, RD2670, NDB1276, BH65, NDB1280, NDB1281, JB47, RD2552, RD2689, JB47 and RD2634 were identified stable for most of the traits studied. These genotypes may be utilized as a donor in barley improvement programme.