The strategic choice of payment method in takeovers: The role of environmental, social and governance performance

Payment method choice in takeovers is mainly driven by both asymmetric information between the acquirer and the target and the acquirer's financial capability. In this paper, we examine whether increased transparency and better access to finance induced by environmental, social and governance (ESG) performance are associated with the strategic choice of payment method in takeovers. More specifically, we investigate how the acquirer's and the target's ESG coverage and different levels of ESG performance affect the probability of cash offers in a sample of 836 US takeovers from 1992 to 2014. In examining the target, our results suggest that ESG coverage is positively associated with the probability of cash offers, whereas we find a negative relationship for ESG concerns and no effect for ESG strengths. Upon examining the acquirer, ESG coverage and ESG concerns both increase the probability of cash offers; however, we do not find results supporting our prediction regarding the acquirer's ESG strengths. We infer that ESG coverage and level affect strategic considerations in the choice of the payment method in takeovers because they not only reduce information asymmetry, but also enhance financing capability

Phytosociological attributes of aquatic weeds of Kano-Hadejanguru wetlands

A survey was conducted during dry and rainy seasons of 2011 in order to determine the phytosociological attributes of acquatic weeds of Kano-Hadeja-Nguru wetlands. Random quadrat method was adopted for the phytosociological studies. The study areas consisted of communities from Kano, Jigawa and Yobe States. In each state, six communities were randomly selected. In each community20 quadrats of 4 m2 size were laid down and hence sum of 120 quadrats were randomly thrown for each state. Within each quadrat area, weeds were identified, counted and weed cover scores were recorded. Weeds were cut at ground level, fresh and dry weights were determined. Typha grass was the most dominant species in the wetlands of Jigawa (21.195 and 22.5%) compared to either Kano (9.345 and 5.27%) or Yobe (12.73 and12.135%) states. Weed density, weed cover scores as well as fresh and dry weight of weed samples from Kano were observed to be higher than the other two states. Morphological characteristics of Typha spp found in Kano State were taller with more leaves than the other two states. The study suggested that there is strong need to start an Integrated Typha management in the study areas.Keywords: Phytosocioloy, aquatic weed, wetlands, Typha morpholog

YIELD AND YIELD CHARACTERS OF SORGHUM (Sorghum bicolor L. Moench )VARIETIES AS INFLUENCED BY IRRIGATION INTERVAL AND PLANT DENSITY AT KADAWA IN THE SUDAN SAVANNAH

A two-years field experiment was conducted during 2008 and 2009 dry seasons at Irrigation ResearchStation Kadawa in the Sudan savannah to study the yield and yield characters of sorghum (Sorghumbicolor L. Moench) varieties as influenced by irrigation intervals and plant densities. The treatmentsconsisted of factorial combination of three sorghum varieties (KSV-4, KL-2 and NR 71168), three irrigationintervals (7, 14 and 21 days) and three plant densities (66,666, 53,333 and 44,444 ha-1). Splitplot design was used in the experiment and replicated three times with irrigation interval and varietyassigned to main plots and plant density allocated to the sub plots. The sub plots size was 4m x 3m(12m2), while the net plot was 6m2. Significantly longer panicles were found in KSV4 and KL-2 at 14days interval in 2008 and at 21 days interval in 2009. Higher grain weight per panicle was recorded inNR 71168 at 21 days irrigation interval in both years. NR 71168 variety out yielded other two varietiesin both years when irrigation interval was extended from 7 to 14 days. No significant response wasrecorded due to varying plant densities although, 66,666 gave higher grains output compared to otherplant densities studied. From this study it is concluded that NR 71168 variety at 14 days irrigation intervaland 66,666 ha-1 plant density under irrigation could be used at Kadawa in the Sudan savannahagro ecological zone of Nigeria

An approach to failure prediction in a cloud based environment

yesFailure in a cloud system is defined as an even that occurs when the delivered service deviates from the correct intended behavior. As the cloud computing systems continue to grow in scale and complexity, there is an urgent need for cloud service providers (CSP) to guarantee a reliable on-demand resource to their customers in the presence of faults thereby fulfilling their service level agreement (SLA). Component failures in cloud systems are very familiar phenomena. However, large cloud service providers’ data centers should be designed to provide a certain level of availability to the business system. Infrastructure-as-a-service (Iaas) cloud delivery model presents computational resources (CPU and memory), storage resources and networking capacity that ensures high availability in the presence of such failures. The data in-production-faults recorded within a 2 years period has been studied and analyzed from the National Energy Research Scientific computing center (NERSC). Using the real-time data collected from the Computer Failure Data Repository (CFDR), this paper presents the performance of two machine learning (ML) algorithms, Linear Regression (LR) Model and Support Vector Machine (SVM) with a Linear Gaussian kernel for predicting hardware failures in a real-time cloud environment to improve system availability. The performance of the two algorithms have been rigorously evaluated using K-folds cross-validation technique. Furthermore, steps and procedure for future studies has been presented. This research will aid computer hardware companies and cloud service providers (CSP) in designing a reliable fault-tolerant system by providing a better device selection, thereby improving system availability and minimizing unscheduled system downtime

A systematic review on healthcare financing in Singapore

Background: Healthcare financing has been on the global agenda for many countries to elevate the health status of the citizens at the same time aim for a lean and sustainable health system. Singapore in particular has demonstrated progressive leaps in health care financing through various reforms. Materials and Methods: A systematic review of articles related to health care financing in Singapore was compiled using a series of keyword search in various databases (Medline, CINAHL, and PubMed). Studies that were conducted from 1981 to 2015, written in English and used either a quantitative or qualitative design that focus on health care reform in Singapore were included in this study. Result: Most of the studies revealed that the most innovative factor in the health care financing in Singapore was the structure and the comprehensive health insurance systems that are in place but it was not necessarily deemed beneficial or affordable to its citizens. The systematic review yielded over 125 results, only 7 of which were relevant to this study after examining in full text. A purposeful approach was then pursued. Snowballing on bibliographic references and undertaking key author and grey-literature searches proved as an effective complimentary approach to the original review and was reverted to in addition to the original search. This method brought the full-text results up to 5. Conclusion: Healthcare financing have a direct influence on the citizens of Singapore and although comprehensive, it also has deficiencies and issues that still need to be addressed

The South Asian genome

Genetics of disease Microarrays Variant genotypes Population genetics Sequence alignment AllelesThe genetic sequence variation of people from the Indian subcontinent who comprise one-quarter of the world's population, is not well described. We carried out whole genome sequencing of 168 South Asians, along with whole-exome sequencing of 147 South Asians to provide deeper characterisation of coding regions. We identify 12,962,155 autosomal sequence variants, including 2,946,861 new SNPs and 312,738 novel indels. This catalogue of SNPs and indels amongst South Asians provides the first comprehensive map of genetic variation in this major human population, and reveals evidence for selective pressures on genes involved in skin biology, metabolism, infection and immunity. Our results will accelerate the search for the genetic variants underlying susceptibility to disorders such as type-2 diabetes and cardiovascular disease which are highly prevalent amongst South Asians.Whole genome sequencing to discover genetic variants underlying type-2 diabetes, coronary heart disease and related phenotypes amongst Indian Asians. Imperial College Healthcare NHS Trust cBRC 2011-13 (JS Kooner [PI], JC Chambers)

Converting simulated total dry matter to fresh marketable yield for field vegetables at a range of nitrogen supply levels

Simultaneous analysis of economic and environmental performance of horticultural crop production requires qualified assumptions on the effect of management options, and particularly of nitrogen (N) fertilisation, on the net returns of the farm. Dynamic soil-plant-environment simulation models for agro-ecosystems are frequently applied to predict crop yield, generally as dry matter per area, and the environmental impact of production. Economic analysis requires conversion of yields to fresh marketable weight, which is not easy to calculate for vegetables, since different species have different properties and special market requirements. Furthermore, the marketable part of many vegetables is dependent on N availability during growth, which may lead to complete crop failure under sub-optimal N supply in tightly calculated N fertiliser regimes or low-input systems. In this paper we present two methods for converting simulated total dry matter to marketable fresh matter yield for various vegetables and European growth conditions, taking into consideration the effect of N supply: (i) a regression based function for vegetables sold as bulk or bunching ware and (ii) a population approach for piecewise sold row crops. For both methods, to be used in the context of a dynamic simulation model, parameter values were compiled from a literature survey. Implemented in such a model, both algorithms were tested against experimental field data, yielding an Index of Agreement of 0.80 for the regression strategy and 0.90 for the population strategy. Furthermore, the population strategy was capable of reflecting rather well the effect of crop spacing on yield and the effect of N supply on product grading

Epidemiological impact of waning immunization on a vaccinated population

This is an epidemiological SIRV model based study that is de- signed to analyze the impact of vaccination in containing infection spread, in a 4-tiered population compartment comprised of susceptible, infected, recov- ered and vaccinated agents. While many models assume a lifelong protection through vaccination, we focus on the impact of waning immunization due to conversion of vaccinated and recovered agents back to susceptible ones. Two asymptotic states exist, the \disease-free equilibrium" and the \endemic equi- librium" and we express the transitions between these states as function of the vaccination and conversion rates and using the basic reproduction number. We nd that the vaccination of newborns and adults have dierent consequences on controlling an epidemic. Also, a decaying disease protection within the re- covered sub-population is not sucient to trigger an epidemic on the linear level. We perform simulations for a parameter set modelling a disease with waning immunization like pertussis. For a diusively coupled population, a transition to the endemic state can proceed via the propagation of a traveling infection wave, described successfully within a Fisher-Kolmogorov framework

Na⁺ entry through heteromeric TRPC4/C1 channels mediates (-)Englerin A-induced cytotoxicity in synovial sarcoma cells

The sesquiterpene (-)Englerin A (EA) is an organic compound from the plant Phyllanthus engleri which acts via heteromeric TRPC4/C1 channels to cause cytotoxicity in some types of cancer cell but not normal cells. Here we identified selective cytotoxicity of EA in human synovial sarcoma cells (SW982 cells) and investigated the mechanism. EA induced cation channel current (Icat) in SW982 cells with biophysical characteristics of heteromeric TRPC4/C1 channels. Inhibitors of homomeric TRPC4 channels were weak inhibitors of the Icat and EA-induced cytotoxicity whereas a potent inhibitor of TRPC4/C1 channels (Pico145) strongly inhibited Icat and cytotoxicity. Depletion of TRPC1 converted Icat into a current with biophysical and pharmacological properties of homomeric TRPC4 channels and depletion of TRPC1 or TRPC4 suppressed the cytotoxicity of EA. A Na⁺ /K⁺-ATPase inhibitor (ouabain) potentiated EA-induced cytotoxicity and direct Na⁺ loading by gramicidin-A caused Pico145-resistant cytotoxicity in the absence of EA. We conclude that EA has a potent cytotoxic effect on human synovial sarcoma cells which is mediated by heteromeric TRPC4/C1 channels and Na⁺ loading