Investigating Relationships between locus of control and Emotional Intelligence on Reading Comprehension of Indian ESL Learners at Aligarh Muslim University

In recent years, locus of control and emotional intelligence abilities have increasingly attained attention in research correlated to students' achievement. A various body of educational study has reported the significance of locus of control ability and the constructive influence of locus of control and emotional intelligence on learners’ achievement. This study explored the predictability of locus of control and emotional intelligence (reality testing, social responsibility, Assertiveness) on reading comprehension. 200 Indian ESL learners participated in the study. For data collection, an emotional intelligence questionnaire (Bar-On's EQ-itest"), locus of control questionnaire (Levenson Multidimensional locus of control scale) and a version of TOEFL reading comprehension test (TOEFL, 2010) were used. The data were analyzed by using path analysis and Pearson correlation. The results of the study indicated that reading score has the highest positive correlation with reality testing (r = .31, p< 0.05), and the lowest correlation with Assertiveness (r = .05, p>0.05). In addition, there is a weak positive significant relationship between reading score and locus of control (r = .29, p<.05). Hence, emotional intelligence is better predictor for reading comprehension. Current study has focused on only three factor of emotional intelligence (reality testing, social responsibility, Assertiveness) which had the highest correlations with other skills like speaking

Integration of network coding, spatial diversity and opportunistic routing/forwarding in wireless mesh networks

Wireless Mesh Network is an answer to the last mile problem. It offers easy deployment and provides coverage over large area with fewer wires. Nevertheless, its limited throughput is inadequate for next generation applications. Motivated by its features and advantages, we propose a solution to mitigate this problem of limited throughput by leveraging the broadcast nature of the wireless medium. In particular, network coding, spatial diversity and opportunistic routing/forwarding capitalize on the broadcast nature of the wireless links to improve the network performance. These techniques target different network conditions and usually are considered in separation. In this thesis a cross-layer based integration of the mentioned three techniques is presented to accumulate their potential gains using the same network protocol stack in wireless mesh networks. The proposed integration approach is based on a new CDARM metric (Coding opportunity and Data rate Aware Routing Metric) used for the route selection and a method for creating relay links at the MAC layer. In particular to leverage on the broadcast nature we developed a cooperative protocol, based on link creation at the MAC layer that introduces opportunism into the cooperative protocol. Based on this cooperative protocol and the routing metric, we integrate the network coding mechanism. Then we introduce cooperation between the network and MAC layers. The numerical study, based on the system level simulation results, shows significant improvement of the integrated protocol performance in terms of network throughput and reliability over the individual mechanisms. To the best of our knowledge this dissertation is the first attempt to integrate network coding, spatial diversity and opportunistic routing/forwarding mechanisms in the same protocol stack. The integrated protocol requires modifications into the network protocol stack that can be easily incorporated in future generation devices

Computational intelligent sensor-rank consolidation approach for Industrial Internet of Things (IIoT).

Continues field monitoring and searching sensor data remains an imminent element emphasizes the influence of the Internet of Things (IoT). Most of the existing systems are concede spatial coordinates or semantic keywords to retrieve the entail data, which are not comprehensive constraints because of sensor cohesion, unique localization haphazardness. To address this issue, we propose deep-learning-inspired sensor-rank consolidation (DLi-SRC) system that enables 3-set of algorithms. First, sensor cohesion algorithm based on Lyapunov approach to accelerate sensor stability. Second, sensor unique localization algorithm based on rank-inferior measurement index to avoid redundancy data and data loss. Third, a heuristic directive algorithm to improve entail data search efficiency, which returns appropriate ranked sensor results as per searching specifications. We examined thorough simulations to describe the DLi-SRC effectiveness. The outcomes reveal that our approach has significant performance gain, such as search efficiency, service quality, sensor existence rate enhancement by 91%, and sensor energy gain by 49% than benchmark standard approaches

The Effect of Task Planning and Genderon Writing Fluency: A Case Study of Undergraduate Students at AMU

Tasked Based Language Teaching (TBLT) has widely provided learners with some opportunities to learn spoken and written language through learning activities in the major of English Language Teaching (ELT). It offers the student an opportunity to be taught more naturally. In the recent years, that there is a massive growth of interest in examining differential effects of task planning conditionson fluency, accuracy and complexity in English as a second language (ESL) context but, the present study explored the impacts of task planning and gender on ESL learners’ written performance in terms of fluency. To this end, five-hundred undergraduate English Language Learners, both male and female (within the age range of 18-24) have been recruited from Aligarh Muslim University. Two tasks were chosen as instruments for data collection. One is a narrative task (as a pre-task for five-hundred) and the other is an argumentativeessay (for two-hundred one) to measure the fluency of the participants’ written production, under different planning conditions (pre-task planning, within-task planning, and no planning). One-way MANOVA was employed as the statistical means of analysis. The findings revealed a significant effect of task planning and gender under different planning conditions inwords per minute (the number of words produced by the participants divided by the time they spent on each assignment) and syllables per minute (The number of syllables that the participants produced divided by the minutes they spent on production) regarding fluency

Designing of Wide Area Network with the use of Frame Relay Concept in Real Time Environment: a Proposal

Thes e days inter-domain routing protocol, i.e., BGP (Border Gateway Protocol), is getting complicated day by day due to policy mis-configuration by individual autonomous systems. Existing configuration analysis techniques are either manual or tedious, or do not scale beyond a small number of nodes due to the state explosion problem. To aid the diagnosis of mis-configurations in real -world large BGP systems, this paper presents BGP based on Packet Switching Technology and Inter-VLAN where as packet switching technology is WAN technology. Inter - VLAN is a technology to communicate between two ormore VLAN. A company can send or receive any type of data, either text image, video etc. Another important part of network is security. This network would make use of following protocol for security purpose such as PAP, CHAP, ACL, and NAT. The key idea is that, all transmissions are broken into units called packets, each of which contains addressing information that identifies both the source and destination nodes. These packets are then routed through various intermediaries, known as Packet Switching Exchanges(PSEs), until they reach their destination.And there are two parameters associated with a Frame Relay connection are; Committed Information Rate (CIR), Peak Information Rate (PIR) Cisco configuration guidelines, as well as arbitrary user -defined networks. This method improves theapplicability, efficiency, and benefits of the network deployment, it also introduces an infrastructure that enables networking researchers to interact with advanced formal method tool

An incidentally discovered asymptomatic para-aortic paraganglioma with Peutz-Jeghers syndrome

Peutz-Jeghers syndrome (PJS) is an autosomal dominant inherited disorder characterized by mucocutaneous melanin pigmentation and gastrointestinal (GI) tract hamartomatous polyps and an increased risk of malignancy. In addition to polyposis, previous studies have reported increased risk of GI and extraGI malignancies in PJS patients, compared with that of the general population. The most common extraintestinal malignancies reported in previous studies are pancreatic, breast, ovarian and testicular cancers.We report the case of a 17-year-old boy who presented with generalized weakness, recurrent sharp abdominal pain and melena, had exploratory laparotomy and ileal resection for ileo-ileal intussusception. Pigmentation of the buccal mucosa was noted. An abdominal computed tomography scan (CT) revealed multiple polyps in small bowel loops. Gastroscopy revealed multiple dimunitive polyps in stomach and pedunculated polyp in duodenum. Colonoscopy revealed multiple colonic polyps. Pathological examination of the polyps confirmed hamartomas with smooth muscle arborization, compatible with Peutz-Jeghers polyps. CT scan guided left para-aortic lymph node biopsy revealed the characteristic features of extra-adrenal para-aortic paraganglioma. Although cases of various GI and extra GI malignancies in PJS patients has been reported, the present case appears to be the first in literature in which the PJS syndrome was associated with asymptomatic extraadrenal para-aortic paraganglioma. Patients with PJS should be treated by endoscopic or surgical resection and need whole-body screening

Influence of Natural Zeolite and Mineral additive on Bacterial Self-healing Concrete: A Review

With time, the development of micro-cracks in concrete is a frequently reported problem in the structures due to the ingress of harmful substances, leading to the degradation of its quality and strength, which ultimately declines the construction. The present work is a review paper based on enhancing the self-healing property of concrete by inducing different bacteria alone or incorporating different mineral additives. It has been seen that various rehabilitated methodologies are in queue to surmount concrete’s weaknesses and to increase its strength and durability. The latest methodology includes using non-pathogenic microbes in concrete as Microbial induced Calcium Carbonate Precipitation (MICCP). The property of precipitating calcium carbonate (CaCO3) crystals by their metabolic activities helps repair the cracks in harsh conditions and improve their strength. Ureolytic bacteria like Bacillus pasteurii/Sporosarcina pasteurii, Bacillus subtilis, Bacillus megaterium, etc., have a specific property by which they can excite urea when integrated with a calcium source and help in sealing the cracks by CaCO3 precipitation. Different studies have observed that specimens having a bacterial concentration of 105-107 cells/ml with Natural Zeolite (NZ) replacement (10%) represents better interaction of the microstructure of concrete because of the formation of calcium silicate hydrate (CSH) gel. Further, the reduction in CH bond with reduced pore space has also been observed. NZ alone enhances micro-structural property, but it shows CaCo3 precipitation and more densification of microstructure under bacterial combination. XRD also confirms an increase in the calcite composition when the bacterial concentration of 105-107 cells/ml is used. The overall properties of standard and high-strength bacterial concrete (105-107 cells/ml) with 10% Natural Zeolite replacement can provide a better option for the future of sustained and strong concrete. Doi: 10.28991/CEJ-2022-08-05-015 Full Text: PD

Does corporate groups accrue higher leverage: Emerging market evidence

This article explores the capital structure composition of group-affiliated firms. We find that group member firms choose to accrue higher debt ratios compared to non-group counterparts. Further disentangling the higher debt ratios of group-affiliates, we find risk-sharing or co-insurance effect whereby business groups enable member firms to share risks through income-smoothing and intra-group reallocation of resources. Our results suggest that business groups act as internal capital markets, assist affiliated firms overcome financial constraints, and ease access to external capital. Lastly, our study shows that group affiliations positively contribute to firms’ better financial performance relative to the non-group firms