INTERCEDING EFFECT OF ORGANIZATIONAL SUPPORT BETWEEN EMOTIONAL INTELLIGENCE AND JOB SATISFACTION: A CONFIRMATION FROM PRIMARY PUBLIC SCHOOLS OF PUNJAB.

The focus of this empirical study is to examine the interceding effect of Perceived Organizational Support (POS) between Emotional Intelligence (EI) and Job Satisfaction (JS). For this purpose, random data of 300 respondents was collected from primary public schools of four districts of Punjab, Pakistan i.e. Lahore, Sahiwal, Okara and Nankana Sahib through self-administrative questionnaires. The time legged approach is used in collection of data to decrease self-biasness of responses. Sequential Equation modeling is applied to test the effectiveness and fitness of model. The results of the study suggest that job satisfaction is positively affected by emotional intelligence Perceived Organizational Support (POS) also influences the relationship between emotional intelligence and job satisfaction. Practical implications and future directions are also provided.Key terms: Job Satisfaction, Emotional Intelligence, Perceived Organizational Suppor

INTERCEDING EFFECT OF ORGANIZATIONAL SUPPORT BETWEEN EMOTIONAL INTELLIGENCE AND JOB SATISFACTION: A CONFIRMATION FROM PRIMARY PUBLIC SCHOOLS OF PUNJAB.

The focus of this empirical study is to examine the interceding effect of Perceived Organizational Support (POS) between Emotional Intelligence (EI) and Job Satisfaction (JS). For this purpose, random data of 300 respondents was collected from primary public schools of four districts of Punjab, Pakistan i.e. Lahore, Sahiwal, Okara and Nankana Sahib through self-administrative questionnaires. The time legged approach is used in collection of data to decrease self-biasness of responses. Sequential Equation modeling is applied to test the effectiveness and fitness of model. The results of the study suggest that job satisfaction is positively affected by emotional intelligence Perceived Organizational Support (POS) also influences the relationship between emotional intelligence and job satisfaction. Practical implications and future directions are also provided.Key terms: Job Satisfaction, Emotional Intelligence, Perceived Organizational Suppor

Towards sFlow and adaptive polling sampling for deep learning based DDoS detection in SDN

Distributed Denial of Service (DDoS) is one of the most rampant attacks in the modern Internet of Things (IoT) network infrastructures. Security plays a very vital role for an ever-growing heterogeneous network of IoT nodes, which are directly connected to each other. Due to the preliminary stage of Software Defined Networking (SDN), in the IoT network, sampling based measurement approaches currently results in low-accuracy, higher memory consumption, higher-overhead in processing and network, and low attack-detection. To deal with these aforementioned issues, this paper proposes sFlow and adaptive polling based sampling with Snort Intrusion Detection System (IDS) and deep learning based model, which helps to lower down the various types of prevalent DDoS attacks inside the IoT network. The flexible decoupling property of SDN enables us to program network devices for required parameters without utilizing third-party propriety based hardware or software. Firstly, in data-plane, to lower down processing and network overhead of switches, we deployed sFlow and adaptive polling based sampling individually. Secondly, in control-plane, to optimize detection accuracy, we deployed Snort IDS collaboratively with Stacked Autoencoders (SAE) deep learning model. Furthermore, after applying performance metrics on collected traffic streams, we quantitatively investigate trade off among attack detection accuracy and resources overhead. The evaluation of the proposed system demonstrates higher detection accuracy with 95% of True Positive rate with less than4% of False Positive rate within sFlow based implementation compared to adaptive polling

Acaricidal and insecticidal effects of essential oils against ectoparasites of veterinary importance

Ectoparasitism in animals has become an issue of great concern that needs to be resolved to prevent huge economic losses occurring to livestock industry all over the world. Synthetic adrugs have been playing a major role in controlling ectoparasites, but their frequent and irrational use has resulted in drug resistance to routinely used chemicals and their residual effects on food and environment. Therefore, this approach of using chemical acaricides and insecticides is losing its popularity and effectiveness in controlling ectoparasites. So, the development of alternative approaches in ectoparasite management is currently required. Among alternative protocols, plants and their essential oils have played remarkable role in controlling different ectoparasites (ticks, flies, mites, lice) of veterinary importance. Essential oils have been proved to be cheaper, more effective and safer therapeautic agents against different ectoparasites of livestock importance

The impact of surgical delay on resectability of colorectal cancer: An international prospective cohort study

AIM: The SARS-CoV-2 pandemic has provided a unique opportunity to explore the impact of surgical delays on cancer resectability. This study aimed to compare resectability for colorectal cancer patients undergoing delayed versus non-delayed surgery. METHODS: This was an international prospective cohort study of consecutive colorectal cancer patients with a decision for curative surgery (January-April 2020). Surgical delay was defined as an operation taking place more than 4 weeks after treatment decision, in a patient who did not receive neoadjuvant therapy. A subgroup analysis explored the effects of delay in elective patients only. The impact of longer delays was explored in a sensitivity analysis. The primary outcome was complete resection, defined as curative resection with an R0 margin. RESULTS: Overall, 5453 patients from 304 hospitals in 47 countries were included, of whom 6.6% (358/5453) did not receive their planned operation. Of the 4304 operated patients without neoadjuvant therapy, 40.5% (1744/4304) were delayed beyond 4 weeks. Delayed patients were more likely to be older, men, more comorbid, have higher body mass index and have rectal cancer and early stage disease. Delayed patients had higher unadjusted rates of complete resection (93.7% vs. 91.9%, P = 0.032) and lower rates of emergency surgery (4.5% vs. 22.5%, P < 0.001). After adjustment, delay was not associated with a lower rate of complete resection (OR 1.18, 95% CI 0.90-1.55, P = 0.224), which was consistent in elective patients only (OR 0.94, 95% CI 0.69-1.27, P = 0.672). Longer delays were not associated with poorer outcomes. CONCLUSION: One in 15 colorectal cancer patients did not receive their planned operation during the first wave of COVID-19. Surgical delay did not appear to compromise resectability, raising the hypothesis that any reduction in long-term survival attributable to delays is likely to be due to micro-metastatic disease

Organizational Governance, Social Bonds and Information Security Policy Compliance: A Perspective towards Oil and Gas Employees

Information security attacks on oil and gas (O&amp;G) organizations have increased since the last decade. From 2015 to 2019, almost 70 percent of O&amp;G organizations faced at least one significant security breach worldwide. Research has shown that 43 percent of security attacks on O&amp;G organizations occur due to the non-compliant behavior of O&amp;G employees towards information security policy. The existing literature provides multiple solutions for technical security controls of O&amp;G organizations. However, there are very few studies available that address behavioral security controls, specifically for O&amp;G organizations of developing countries. The purpose of this study is to provide a comprehensive framework for information security policy compliance (ISPC) for the O&amp;G sector. A mixed-method approach is used to develop the research framework. Semi-structured interviews from O&amp;G specialists refined the developed framework. Based on qualitative study a survey questionnaire was developed. To evaluate the research framework, structural equation modeling was applied to a sample of 254 managers/executives from 150 Malaysian O&amp;G organizations. The obtained test results confirmed the proposed research model, according to which good social bonding among employees plays a critical role in improving ISPC. However, there was less support for the notion that all organizational governance factors significantly improve the social bonding of Malaysian O&amp;G organizations employees. This paper contributes to the current information system (IS) literature by exploring the interrelationships among organizational governance, social bonding, and information security policy compliance (ISPC) in Malaysian O&amp;G organizations

Organizational Management, Protection Motivation and Information Security Policy Compliance: A Pilot Study on IT Professionals

Information security is a grave concern to almost every resourceful organization on the planet. Existing literature shows that majority of information security breaches occur due to the negligence of internal employees towards information security policies. Lack of compliance with information security policies is a multidimensional problem, and It requires adiministrative and behavioral solutions. There is plenty of research available for behavioral information security, but most of the research is conducted upon non-IT (information technology) users or non- Specialized users. This research paper is a pilot study for testing the information security policy compliance of IT professionals. Hypotheses were formulated from the literature review, and a framework was developed. The framework consisted of organizational management constructs and two behavioral theories (protection motivation theory and theory of planned behavior). This pilot study showed that organizational management can enhance employees' protection motivation, which later cultivates good information security behavior towards information security policy compliance

The Efficacy of Process Capability Indices Using Median Absolute Deviation and Their Bootstrap Confidence Intervals (vol 42, pg 4941, 2017)

The process capability indices (PCIs) Cp and Cpk are commonly used in industry to measure the process performance. The implementation of these indices required that process should follow a normal distribution. However, in many cases the underlying processes are non-normal which influence the performance of these indices. In this paper, median absolute deviation (MAD) is used as a robust measure of variability in two PCIs, Cp and Cpk . Extensive simulation experiments were performed to evaluate the performance of MAD-based PCIs under low, moderate and high asymmetric condition of Weibull, Log-Normal and Gamma distributions. The point estimation of MAD-based estimator of Cp and Cpk is encouraging and showed a good result in case of Log-Normal and Gamma distributions, whereas these estimators perform very well in case of Weibull distribution. The comparison of quantile method and MAD method showed that the performance of MAD-based PCIs is better for Weibull and Log-Normal processes under low and moderate asymmetric conditions, whereas its performance for Gamma distribution remained unsatisfactory. Four bootstrap confidence intervals (BCIs) such as standard (SB), percentile (PB), bias-corrected percentile (BCPB) and percentile-t (PTB) were constructed using quantile and MAD methods under all asymmetric conditions of three distributions under study. The bias-corrected percentile bootstrap confidence interval (BCPB) is recommended for a quantile (PC)-based PCIs, whereas CIs were recommended for MAD-based PCIs under all asymmetric conditions of Weibull, Log-Normal and Gamma distributions. A real-life example is also given to describe and validate the application of proposed methodology.11Ysciescopu

A Sustainable Graphene Based Cement Composite

The rheological properties of fresh cement paste with different content of graphene nanoplatelets (GNPs), different shear rate cycles and resting time was investigated. The rheological data were fitted by the Bingham model, Modified Bingham model, Herschel–Bulkley model and Casson model to estimate the yield stress and plastic viscosity, and to see trend of the flow curves. The effectiveness of these rheological models was expressed by the standard error. Test results showed that yield stress and plastic viscosity increased with the increase in the content of graphene in the cement based composite and resting time while the values of these parameters decreased for higher shear rate cycle. In comparison to control sample, the GNP cement based composite showed 30% increase in load carrying capacity and 73% increase in overall failure strain. Piezo-resistive characteristics of GNP were employed to evaluate the self-sensing composite material. It was found that, at maximum compressive load, the electrical resistivity value reduced by 42% and hence GNP cement based composite can be used to detect the damages in concrete. Finally, the practical application of this composite material was evaluated by testing full length reinforced concrete beam. It was found that graphene–cement composite specimen successfully predicted the response against cracks propagation and hence can be used as self-sensing composite material

Wireless Interconnect in Multilayer Chip-Area-Networks for Future Multimaterial High-Speed Systems Design

Wireless chip area network which enables wireless communication among chips fosters development in wireless communication and it is envisioned that future hardware system and developmental functionality will require multimaterial. However, the traditional system architecture is limited by channel bandwidth-limited interfaces, throughput, delay, and power consumption and as a result limits the efficiency and system performance. Wireless interconnect has been proposed to overcome scalability and performance limitations of multihop wired architectures. Characterization and modeling of channel become more important for specification of choice of modulation or demodulation techniques, channel bandwidths, and other mitigation techniques for channel distortion and interference such as equalization. This paper presents an analytical channel model for characterization, modeling, and analysis of wireless chip-to-chip or interchip interconnects in wireless chip area network with a particular focus on large-scale analysis. The proposed model accounts for both static and dynamic channel losses/attenuation in high-speed systems. Simulation and evaluation of the model with experimental data conducted in a computer desktop casing depict that proposed model matched measurement data very closely. The transmission of EM waves via a medium introduces molecular absorption due to various molecules within the material substance. This model is a representative of channel loss profile in wireless chip-area-network communication and good for future electronic circuits and high-speed systems design