46 research outputs found

    Assessing the Financial Failure Using Z-Score and Current Ratio: A Case of Sugar Sector Listed Companies of Karachi Stock Exchange

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    Since 1968, after the development of multivariate model, financial health of the corporate sector to predict their financial failure is heavily studied. Altman Z-Score is the most efficient model to judge the financial failure of the companies. This study uses Altman’s Z-Score and current ratio to assess the financial status of sugar sector companies listed at Karachi stock exchange. Sugar sector is the second largest slice among all sectors listed at Karachi stock exchange. Total population sampling technique was used in this study and all thirty five sugar sector listed companies at KSE were included in this study to get the deep insights of the issue. State bank’s balance sheet analysis and companies’ financial reports were used to compile the data for the years 2009 and 2010. The results of the study showed that current ratio and Altman’s Z-Score are the reliable tool of assessing financial health of sugar sector listed companies of Karachi stock exchange. This study further explores that there are financially distressed companies among sugar sector listed companies

    Assessing the Financial Failure Using Z-Score and Current Ratio: A Case of Sugar Sector Listed Companies of Karachi Stock Exchange

    Get PDF
    Since 1968, after the development of multivariate model, financial health of the corporate sector to predict their financial failure is heavily studied. Altman Z-Score is the most efficient model to judge the financial failure of the companies. This study uses Altman’s Z-Score and current ratio to assess the financial status of sugar sector companies listed at Karachi stock exchange. Sugar sector is the second largest slice among all sectors listed at Karachi stock exchange. Total population sampling technique was used in this study and all thirty five sugar sector listed companies at KSE were included in this study to get the deep insights of the issue. State bank’s balance sheet analysis and companies’ financial reports were used to compile the data for the years 2009 and 2010. The results of the study showed that current ratio and Altman’s Z-Score are the reliable tool of assessing financial health of sugar sector listed companies of Karachi stock exchange. This study further explores that there are financially distressed companies among sugar sector listed companies

    Voronoi Cell Geometry Based Dynamic Fractional Frequency Reuse for OFDMA Cellular Networks

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    Interference Management (1M) is one of the major challenges of next generation wireless communication. Fractional Frequency Reuse (FFR) has been acknowledged as an efficient 1M technique, which offers significant capacity enhancement and improve cell edge coverage with low complexity. In literature, FFR has been analyzed mostly with cellular networks described by Hexagon Grid Model, which is neither tractable nor scalable to the dense deployment of next generation wireless networks. Moreover, the perfect geometry based grid model tends to overestimate the system performance and not able to reflect the reality. In this paper, we use the stochastic geometry approach, FFR is analyzed with cellular network modeled by homogeneous Poisson Point Process (PPP). A dynamic frequency allocation scheme is proposed which take into account the randomness of the cell coverage area describe by Voronoi tessellation. It is shown that the proposed scheme outperforms the traditional fixed frequency allocation schemes in terms of per user capacity and capacity density

    M2M Communication in Virtual Sensor Network for SHAAL

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    Machine-to-Machine (M2M) communication has led to a new paradigm of Internet of Things (IoT). The future of M2M communication in smart home lies in the aggregation and allocation of resources and service provisioning of diverse applications using different radio technologies. M2M communication may operate on the virtual sensor network to provide independent applications running on heterogeneous network simultaneously. M2M is going to play a major role in the area of Smart Home and Ambient Assisted Living (SHAAL) providing assistance to the elderly people with smart sensors that monitor the home environment and provides aid health monitoring to human requiring medical assistance. The current state of the art frameworks are dedicated to specific applications with the support of single radio network with limited service provisioning options. However, in order to fully exploit the resources in this paper we present a service provisioning framework realization of M2M in virtual sensor network for SHAAL, which allows independent parties to work together in a secure and reliable manner. In addition to this, the framework is designed to include benefits of Service Oriented Architecture (SOA) and Resource Oriented Architecture (ROA) along with the use of different low power, low data rate protocols. A middleware is used as a platform to link the underlying virtual networks with various applications. The network virtualization approach is adopted to design an efficient middleware framework that can effectively discover and manage the underlying network resources and provide services at home gateway. The framework will be used as the basis for the development of the SHAAL networked system

    Resource Allocation for Uplink M2M Communication: A Game Theory Approach

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    Machine-to-Machine (M2M) communication in cellular network is the driver for the future Internet of Things (IoT). The main challenge of M2M communication is the possibility of huge traffic in the uplink network that can cause problem in the network. This paper considers the problem of resource allocation among machines connecting in uplink to different femto base stations (FBSs). Resource allocation problem is analyzed through both non-cooperative and cooperative game to maximize their data rate and minimize utilization of power. Numerical result shows that by adapting non-cooperative game, all machines are getting data rate as per Nash Equilibrium (NE) or either they can set their strategy to maximize their data rate selfishly. On the other hand for coalitional game theory approach machines who participate in game are getting fair resource allocations

    Whether CEO Succession Via Hierarchical Jumps is Detrimental or Blessing in Disguise? Evidence from Chinese Listed Firms

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    This study investigates the impact of hierarchical jumps in the CEO’s succession on firms’ financial performance. To contemplate deeply, hierarchical jumps have been categorized into high and low level evaluating the positive impact of high-level hierarchical jump on firms’ performance. Moreover, this study has also formulated hierarchical intensity signifying the idea that despite neglecting senior board members during hierarchical jumps, still marginal increment in the firms’ growth has been observed. Using panel regression technique along with 2sls instrumental regression, this research reveals that hierarchical jumps in CEOs successions are more conducive only if the incumbent CEOs are selected irrespective of age, degree or high hierarchical position within the hierarchical ladder. Lastly, this study enunciates that firms having high total assets boost their performance via hierarchical jumps emphatically

    The critical role of nitrogen in plants facing the salinity stress: Review and future prospective

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    Salinity stress is a serious abiotic stress that negatively affect the crop growth and development. Mineral nutrient supplementation is considered as an effective strategy to mitigate the adverse effects of salinity. Nitrogen (N) is an important nutrient needed for plants and its application also an effective strategy to mitigate adverse impacts of salinity. Salinity stress disturbs plant physiological, and biochemical functions, antioxidant activities, cellular membranes, antioxidant activities and nutrient uptake thereby cause significant reduction in plant growth and development. The application of N maintains membrane stability, plant water relations, leaf gas exchange characteristics, and protect the plants from oxidative damages which induce the salt tolerance in plants. Besides, this N also improves nutrient uptake and it also induce cellular signaling that mitigate the adverse impacts of salinity. Therefore, it is interesting to understand the role of N in inducing salt tolerance in plants. In present review the mechanisms of N uptake and assimilation in plants under saline conditions are discussed. The present review provides information on how N mitigates ionic toxicity, and oxidative damages and maintains nutrient balance to counter the toxic effects of salinity stress in plants. This review will help the readers to learning more about the role of N in inducing salt tolerance in plants

    Application of Geospatial Techniques in Agricultural Resource Management

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    Although technological advancements have sparked the beginning of the fourth agricultural revolution, human beings are still facing severe problems such as shrinking croplands, dwindling water supplies, negative consequences of climate change, and so on in achieving agricultural resilience to meet the demands of the growing population over the globe. Geospatial techniques involving the integrated use of geographic information system (GIS), remote sensing (RS), and artificial intelligence (AI) provide a strong basis for sustainable management of agricultural resources aimed at increased agricultural production. In recent times, these advanced tools have been increasingly used in agricultural production at local, regional, and global levels. This chapter focuses on the widespread application of geospatial techniques for agricultural resource management by monitoring crop growth and yield forecasting, crop disease and pest infestation, land use and land cover mapping, flood monitoring, and water resource management. Moreover, we also discuss various methodologies involved in monitoring and mapping abovementioned agricultural resources. This chapter will provide deep insight into the available literature on the use of geospatial techniques in the monitoring and management of agricultural resources. Moreover, it will be helpful for scientists to develop integrated methodologies focused on exploring satellite data for sustainable management of agricultural resources

    Effects of a high-dose 24-h infusion of tranexamic acid on death and thromboembolic events in patients with acute gastrointestinal bleeding (HALT-IT): an international randomised, double-blind, placebo-controlled trial

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    Background: Tranexamic acid reduces surgical bleeding and reduces death due to bleeding in patients with trauma. Meta-analyses of small trials show that tranexamic acid might decrease deaths from gastrointestinal bleeding. We aimed to assess the effects of tranexamic acid in patients with gastrointestinal bleeding. Methods: We did an international, multicentre, randomised, placebo-controlled trial in 164 hospitals in 15 countries. Patients were enrolled if the responsible clinician was uncertain whether to use tranexamic acid, were aged above the minimum age considered an adult in their country (either aged 16 years and older or aged 18 years and older), and had significant (defined as at risk of bleeding to death) upper or lower gastrointestinal bleeding. Patients were randomly assigned by selection of a numbered treatment pack from a box containing eight packs that were identical apart from the pack number. Patients received either a loading dose of 1 g tranexamic acid, which was added to 100 mL infusion bag of 0·9% sodium chloride and infused by slow intravenous injection over 10 min, followed by a maintenance dose of 3 g tranexamic acid added to 1 L of any isotonic intravenous solution and infused at 125 mg/h for 24 h, or placebo (sodium chloride 0·9%). Patients, caregivers, and those assessing outcomes were masked to allocation. The primary outcome was death due to bleeding within 5 days of randomisation; analysis excluded patients who received neither dose of the allocated treatment and those for whom outcome data on death were unavailable. This trial was registered with Current Controlled Trials, ISRCTN11225767, and ClinicalTrials.gov, NCT01658124. Findings: Between July 4, 2013, and June 21, 2019, we randomly allocated 12 009 patients to receive tranexamic acid (5994, 49·9%) or matching placebo (6015, 50·1%), of whom 11 952 (99·5%) received the first dose of the allocated treatment. Death due to bleeding within 5 days of randomisation occurred in 222 (4%) of 5956 patients in the tranexamic acid group and in 226 (4%) of 5981 patients in the placebo group (risk ratio [RR] 0·99, 95% CI 0·82–1·18). Arterial thromboembolic events (myocardial infarction or stroke) were similar in the tranexamic acid group and placebo group (42 [0·7%] of 5952 vs 46 [0·8%] of 5977; 0·92; 0·60 to 1·39). Venous thromboembolic events (deep vein thrombosis or pulmonary embolism) were higher in tranexamic acid group than in the placebo group (48 [0·8%] of 5952 vs 26 [0·4%] of 5977; RR 1·85; 95% CI 1·15 to 2·98). Interpretation: We found that tranexamic acid did not reduce death from gastrointestinal bleeding. On the basis of our results, tranexamic acid should not be used for the treatment of gastrointestinal bleeding outside the context of a randomised trial

    Significantly Enhanced Structural, Dielectric and Impedance Properties of BCZT-BFO Sensors

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    Multiferroics like [(Ba0.85Ca0.15) (Zr0.1Ti0.9) O3, BCZT] and (BiFeO3, BFO) with stochiometric amount wereprepared mixed oxide solid state route adding CuO. The compositions wereconfirmed by X-ray diffraction technique, FTIR confirmed the formation of bonds and the clear ideaof bonding pairs, FESEM supportedthe resultsof microstructure, and it was revealed that the addition of CuO increasedthe densification while it was also served as a sintering agent. The impedance spectroscopy (IS) wasthe tool that explain the relaxation phenomenon of the composition making agreements with the conduction mechanism that the material can be used as negative temperature coefficient of resistance (NTCR) for the applications of capacitors, sensors, actuators,and energy devices
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