COLLISION OF DEMOCRATIC COACHING LEADERSHIP STYLE TO IMPROVE TECHNICAL SKILLS OF BADMINTON PLAYERS

This research study was carried out on the game technique of badminton players during the tournament educational organizational structure for developing successful inter-collegiate and inter-department level badminton players of Sukkur region, Sindh. The study was conducted on 200 male players of Badminton. The student-players of 20 affiliated colleges (N=100) and 20 teaching departments (N=100) of Shah Abdul Latif University Khairpur participated in the study through a survey questionnaire was applied for the collection of data. The results show that the majority of students were with the higher impact of democratic coaching on technical skills of the badminton players. The frequencies, percentages were differently found with the overall means such as; 2.51, 2.55, 2.41, 2.39 and 2.48, respectively which were significantly different to each other. It is concluded that this information will help the coaches to improve the techniques of badminton players. Therefore, it is suggested that the University or College level inter-collegiate and inter-department badminton tournaments should be arranged and encouraged.  Article visualizations

RC-class and LC-class on fixed point theorems for α-Caristi type contraction mappings

In this paper, we introduce the notion of (α,ℋLC,fRC)-Caristi type contraction mappings and prove fixed point theorem by using this notion on complete metric space. To illustrate our result, we construct an example

Immobilization of Rose Waste Biomass for Uptake of Pb(II) from Aqueous Solutions

Rosa centifolia and Rosa gruss an teplitz distillation waste biomass was immobilized using sodium alginate for Pb(II) uptake from aqueous solutions under varied experimental conditions. The maximum Pb(II) adsorption occurred at pH 5. Immobilized rose waste biomasses were modified physically and chemically to enhance Pb(II) removal. The Langmuir sorption isotherm and pseudo-second-order kinetic models fitted well to the adsorption data of Pb(II) by immobilized Rosa centifolia and Rosa gruss an teplitz. The adsorbed metal is recovered by treating immobilized biomass with different chemical reagents (H2SO4, HCl and H3PO4) and maximum Pb(II) recovered when treated with sulphuric acid (95.67%). The presence of cometals Na, Ca(II), Al(III), Cr(III), Cr(VI), and Cu(II), reduced Pb(II) adsorption on Rosa centifolia and Rosa gruss an teplitz waste biomass. It can be concluded from the results of the present study that rose waste can be effectively used for the uptake of Pb(II) from aqueous streams

Blockchain-based secret key extraction for efficient and secure authentication in VANETs

Intelligent transportation systems are an emerging technology that facilitates real-time vehicle-to-everything communication. Hence, securing and authenticating data packets for intra- and inter-vehicle communication are fundamental security services in vehicular ad-hoc networks (VANETs). However, public-key cryptography (PKC) is commonly used in signature-based authentication, which consumes significant computation resources and communication bandwidth for signatures generation and verification, and key distribution. Therefore, physical layer-based secret key extraction has emerged as an effective candidate for key agreement, exploiting the randomness and reciprocity features of wireless channels. However, the imperfect channel reciprocity generates discrepancies in the extracted key, and existing reconciliation algorithms suffer from significant communication costs and security issues. In this paper, PKC-based authentication is used for initial legitimacy detection and exchanging authenticated probing packets. Accordingly, we propose a blockchain-based reconciliation technique that allows the trusted third party (TTP) to publish the correction sequence of the mismatched bits through a transaction using a smart contract. The smart contract functions enable the TTP to map the transaction address to vehicle-related information and allow vehicles to obtain the transaction contents securely. The obtained shared key is then used for symmetric key cryptography (SKC)-based authentication for subsequent transmissions, saving significant computation and communication costs. The correctness and security robustness of the scheme are proved using Burrows–Abadi–Needham (BAN)-logic and Automated Validation of Internet Security Protocols and Applications (AVISPA) simulator. We also discussed the scheme’s resistance to typical attacks. The scheme’s performance in terms of packet delay and loss ratio is evaluated using the network simulator (OMNeT++). Finally, the computation analysis shows that the scheme saves ~99% of the time required to verify 1000 messages compared to existing PKC-based schemes

Towards the Digital Twin (DT) of narrow-band Internet of Things (NBIoT) wireless communication in industrial indoor environment

A study of the behavior of NB-IoT wireless communication in an industrial indoor environment was conducted in this paper. With Wireless Insite software, a scenario in the industrial sector was simulated and modeled. Our research examined how this scenario or environment affected the communication parameters of NB-IoT’s physical layer. In this context, throughput levels among terminals as well as between terminals and transceiver towers, the power received at signal destination points, signal-to-noise ratios (SNRs) in the environment, and distances between terminals and transceivers are considered. These simulated results are also compared with the calculated or theoretical values of these parameters. The results show the effect of the industrial setting on wireless communication. The differences between the theoretical and simulated values are also established

Automated feature detection in dental periapical radiographs by using deep learning

Objective: The aim of this study was to investigate automated feature detection, segmentation, and quantification of common findings in periapical radiographs (PRs) by using deep learning (DL)–based computer vision techniques. Study Design: Caries, alveolar bone recession, and interradicular radiolucencies were labeled on 206 digital PRs by 3 specialists (2 oral pathologists and 1 endodontist). The PRs were divided into “Training and Validation” and “Test” data sets consisting of 176 and 30 PRs, respectively. Multiple transformations of image data were used as input to deep neural networks during training. Outcomes of existing and purpose-built DL architectures were compared to identify the most suitable architecture for automated analysis. Results: The U-Net architecture and its variant significantly outperformed Xnet and SegNet in all metrics. The overall best performing architecture on the validation data set was “U-Net+Densenet121” (mean intersection over union [mIoU] = 0.501; Dice coefficient = 0.569). Performance of all architectures degraded on the “Test” data set; “U-Net” delivered the best performance (mIoU = 0.402; Dice coefficient = 0.453). Interradicular radiolucencies were the most difficult to segment. Conclusions: DL has potential for automated analysis of PRs but warrants further research. Among existing off-the-shelf architectures, U-Net and its variants delivered the best performance. Further performance gains can be obtained via purpose-built architectures and a larger multicentric cohort

EFFECT OF FOLIAR APPLICATION OF UREA ON DIFFERENT GROWTH STAGES OF WHEAT

The experiment was conducted at Student Farm, Department of Agronomy, Sindh Agriculture University, Tandojam during the year 2012-13, to evaluate the effect of foliar dose of urea on different growth stages of wheat variety TJ-83 with 3 replications, experimental design Randomized Block Design with two factors A foliar nitrogen concentration of urea with treatments control (non -treated plots), 0.5% and 1.0%however in factor B include two growth stages i.e. Tillering stage, Anthesis stage. Wheat variety TJ-83 was cultivated at net plot size 4x4= (16 m2). The results revealed that germination (%) showed non-significant response to foliar nitrogen concentrations, growth stages and their interaction whereas all other wheat traits significantly affected by different foliar fertilizers, growth stages and their interaction.The mean maximum plant height (cm), grains spike-1 and seed index (1000 grain weight g) were recorded at 0.5% urea nitrogen concentrations whereas other wheat traits tillers plant-1, spike length (cm), spikelets spike-1 and grain yield kg ha-1 were foundThe experiment was conducted at Student Farm, Department of Agronomy, Sindh Agriculture University, Tandojam during the year 2012-13, to evaluate the effect of foliar dose of urea on different growth stages of wheat variety TJ-83 with 3 replications, experimental design Randomized Block Design with two factors A foliar nitrogen concentration of urea with treatments control (non -treated plots), 0.5% and 1.0%however in factor B include two growth stages i.e. Tillering stage, Anthesis stage. Wheat variety TJ-83 was cultivated at net plot size 4x4= (16 m2). The results revealed that germination (%) showed non-significant response to foliar nitrogen concentrations, growth stages and their interaction whereas all other wheat traits significantly affected by different foliar fertilizers, growth stages and their interaction.The mean maximum plant height (cm), grains spike-1 and seed index (1000 grain weight g) were recorded at 0.5% urea nitrogen concentrations whereas other wheat traits tillers plant-1, spike length (cm), spikelets spike-1 and grain yield kg ha-1 were found superior at 0.5% and 1.0% foliar nitrogen concentrations.Maximum mean for growth stages was observed at plant height (cm), tillers plan-1,spike length (cm), spikelets spike-1, seed index (1000 grain weight g) and grain yield were recorded at tiilering stages whereas higher value of grains spike-1 was recorded at anthesis growth stage of wheat. The interactive results indicated that the maximum plant height (cm) was recorded at interaction of 1.0% foliar nitrogen concentration x tillering stage, however higher values of tillers plan-1, spike length (cm) spikelets spike-1, seed index (1000 grain weight g) and grain yield kg ha-1 were observed at interaction of 0.5% and 1.0% foliar nitrogen concentrations x tillering stages. Further results indicated that the foliar nitrogen concentrations, growth stages and their interaction showed enhanced values as compared to control plots where no any fertilizer was applied.&nbsp

The Efficacy of Ivabradine Alone, Metoprolol Alone and Combination of Ivabradine and Metoprolol in Reducing Heart Rate Among Patients Undergoing Computed Tomography Coronary Angiography

Objectives: to determine the efficacy of Ivabradine alone, Metoprolol alone and Combination of Ivabradine and Metoprolol in reducing heart rate among patients undergoing Computed Tomography Coronary Angiography (CTCA). Methodology: it was a randomized controlled trial comprised of 200 patients. Patients undergoing CTCA having heart rates greater than 80 bpm were divided into three groups. Group A was given Ivabradine and a placebo, Group B received Metoprolol and placebo while Group C was administered with Ivabradine and Metoprolol an hour prior to the scan. The scan was carried under similar situations. Heart rate and variability was recorded before and during the scan. Results: The mean heart rate variability and mean reduction in heart rate of Group A was 3.13±1.01 and 19.02±2.05 respectively. The mean heart rate variability and mean reduction in heart rate of Group B was 4.27±1.08 and 12.11±2.45 respectively. While, the mean heart rate variability and mean reduction in heart rate of Group C was 1.88±0.42 and 25.03±2.74 respectively. Conclusion: Ivabradine is an effective and safe drug for reducing heart rate in patients having CTCA, especially among patients who are unable to tolerate calcium channel blockers and beta blockers owing to their side effects. Keywords: Ivabradine, Metoprolol, Computed tomography coronary angiography, heart rate reduction, heart rate variability