A Novel Encryption Scheme for Providing Security and Energy Efficiency in Mobile Ad-Hoc Networks

A Mobile Ad Hoc Network is a decentralized kind of remote system. It doesn't have any altered foundation and the hubs can impart straightforwardly between one another. Because of its open nature issues like security and vitality utilization emerges. This paper presents an in number encryption calculation keeping in mind the end goal to expand dependability and security for MANETs. At the point when huge volume of information is to be sent, information pressure method is a straightforward procedure, with the advantage of diminishing the transmission rate that devours less transfer speed and low power. Lempel –Ziv – Welch (LZW) pressure calculation when connected on coded message assists in furnishing security with low battery utilization. Such a plan composed practically speaking will help in building secure MANET based application

Implementation of Majority Based voting protocol in group based system with re-ranking

A Mobile Ad Hoc Network is a decentralized kind of remote system. It doesn't have any altered foundation and the hubs can impart straightforwardly between one another. Because of its open nature issues like security and vitality utilization emerges. This paper presents an in number encryption calculation keeping in mind the end goal to expand dependability and security for MANETs. At the point when huge volume of information is to be sent, information pressure method is a straightforward procedure, with the advantage of diminishing the transmission rate that devours less transfer speed and low power. Lempel �Ziv � Welch (LZW) pressure calculation when connected on coded message assists in furnishing security with low battery utilization. Such a plan composed practically speaking will help in building secure MANET based application

Public Health Policy and Infectious Disease Control: Lessons from Recent Outbreaks

This research explores the complex dynamics of public health policy and its crucial role in managing pandemics, considering the unprecedented challenges presented by recent outbreaks of infectious diseases. Examining the worldwide consequences of the COVID-19 pandemic and the Ebola outbreak, we analyze the insights gained from these emergencies, highlighting the necessity for flexible policy development, cooperative endeavors, and the incorporation of community-led strategies. This study adds to the current discussion on pandemic preparedness and the development of robust public health systems. This research paper examines the significant influence of the COVID-19 pandemic and the Ebola outbreak on worldwide public health. It specifically analyzes the efficacy of public health policies and the involvement of mathematical models in managing infectious diseases. Understanding the development of public health responses requires considering the historical context of infectious disease outbreaks such as the Spanish Flu, H1N1, SARS, and MERS. This study conducts a comparative analysis of the responses to the COVID-19 pandemic and the Ebola outbreak, taking into account their distinct challenges and contextual factors. The emergence of the COVID-19 pandemic, resulting from the SARS-CoV-2 virus, has presented a multifaceted global health crisis that requires swift and flexible public health measures. Conversely, the Ebola epidemic in the Democratic Republic of Congo revealed difficulties that are unique to areas affected by conflict and emphasized the significance of involving the community in efforts to control the disease. The paper explores the global ramifications of these outbreaks, encompassing not only health consequences but also economic, societal, and international relations implications. The interdependence of global health is examined by analyzing the responses to COVID-19 and Ebola, highlighting the crucial requirement for collaborative endeavors, exchange of information, and fair allocation of resources. The research utilizes a case study methodology, specifically examining the COVID-19 pandemic and the Ebola outbreak as illustrative instances. Data collection encompasses the evaluation of implemented public health policies, the utilization of mathematical models for analysis, and the contemplation of ethical ramifications in the study of global health emergencies. The paper concludes by providing policy recommendations derived from the insights gained from these outbreaks. It highlights the importance of flexible and data-driven policymaking, international collaboration, and the incorporation of community-led strategies

A Critical Appraisal of Guidelines for Antenatal Care: Components of Care and Priorities in Prenatal Education

There are a variety of published prenatal care (PNC) guidelines that claim a scientific basis for the information included. Four sets of PNC guidelines published between 2005 and 2009 were examined and critiqued. The recommendations for assessment procedures, laboratory testing, and education/counseling topics were analyzed within and between these guidelines. The PNC components were synthesized to provide an organized, comprehensive appendix that can guide providers of antepartum care. The appendix may be used to locate which guidelines addressed which topics to assist practitioners to identify evidence sources. The suggested timing for introducing and reinforcing specific topics is also presented in the appendix. Although education is often assumed to be a vital component of PNC, it was inconsistently included in the guidelines that were reviewed. Even when education was included, important detail was lacking. Addressing each woman\u27s needs as the first priority was suggested historically and remains relevant in current practice to systematically provide care while maintaining the woman as the central player. More attention to gaps in current research is important for the development of comprehensive prenatal guidelines that contribute effectively to the long‐term health and well‐being of women, families, and their communities

Space platform power system hardware testbed

The scope of the work on the NASA Space Platform includes the design of a multi-module, multi-phase boost regulator, and a voltage-fed, push-pull autotransformer converter for the battery discharger. A buck converter was designed for the charge regulator. Also included is the associated mode control electronics for the charger and discharger, as well as continued development of a comprehensive modeling and simulation tool for the system. The design of the multi-module boost converter is discussed for use as a battery discharger. An alternative battery discharger design is discussed using a voltage-fed, push-pull autotransformer converter. The design of the charge regulator is explained using a simple buck converter. The design of the mode controller and effects of locating the bus filter capacitor bank 20 feet away from the power ORU are discussed. A brief discussion of some alternative topologies for battery charging and discharging is included. The power system modeling is described

Rheology of magmas with bimodal crystal size and shape distributions: insights from analog experiments

Magmas in volcanic conduits commonly contain microlites in association with preexisting phenocrysts, as often indicated by volcanic rock textures. In this study, we present two different experiments that inves- tigate the flow behavior of these bidisperse systems. In the first experiments, rotational rheometric methods are used to determine the rheology of monodisperse and polydisperse suspensions consisting of smaller, prolate particles (microlites) and larger, equant particles (phenocrysts) in a bubble‐free Newtonian liquid (silicate melt). Our data show that increasing the relative proportion of prolate microlites to equant pheno- crysts in a magma at constant total particle content can increase the relative viscosity by up to three orders of magnitude. Consequently, the rheological effect of particles in magmas cannot be modeled by assuming a monodisperse population of particles. We propose a new model that uses interpolated parameters based on the relative proportions of small and large particles and produces a considerably improved fit to the data than earlier models. In a second series of experiments we investigate the textures produced by shearing bimodal suspensions in gradually solidifying epoxy resin in a concentric cylinder setup. The resulting textures show the prolate particles are aligned with the flow lines and spherical particles are found in well‐organized strings, with sphere‐depleted shear bands in high‐shear regions. These observations may explain the measured variation in the shear thinning and yield stress behavior with increasing solid fraction and particle aspect ratio. The implications for magma flow are discussed, and rheological results and tex- tural observations are compared with observations on natural samples

Modelling study of the ability to diagnose acute rheumatic fever at different levels of the Ugandan healthcare system.

OBJECTIVE: To determine the ability to accurately diagnose acute rheumatic fever (ARF) given the resources available at three levels of the Ugandan healthcare system. METHODS: Using data obtained from a large epidemiological database on ARF conducted in three districts of Uganda, we selected variables that might positively or negatively predict rheumatic fever based on diagnostic capacity at three levels/tiers of the Ugandan healthcare system. Variables were put into three statistical models that were built sequentially. Multiple logistic regression was used to estimate ORs and 95% CI of predictors of ARF. Performance of the models was determined using Akaike information criterion, adjusted R2, concordance C statistic, Brier score and adequacy index. RESULTS: A model with clinical predictor variables available at a lower-level health centre (tier 1) predicted ARF with an optimism corrected area under the curve (AUC) (c-statistic) of 0.69. Adding tests available at the district level (tier 2, ECG, complete blood count and malaria testing) increased the AUC to 0.76. A model that additionally included diagnostic tests available at the national referral hospital (tier 3, echocardiography, anti-streptolysin O titres, erythrocyte sedimentation rate/C-reactive protein) had the best performance with an AUC of 0.91. CONCLUSIONS: Reducing the burden of rheumatic heart disease in low and middle-income countries requires overcoming challenges of ARF diagnosis. Ensuring that possible cases can be evaluated using electrocardiography and relatively simple blood tests will improve diagnostic accuracy somewhat, but access to echocardiography and tests to confirm recent streptococcal infection will have the greatest impact

Cellular Immune Responses to Nine Mycobacterium tuberculosis Vaccine Candidates following Intranasal Vaccination

BACKGROUND: The identification of Mycobacterium tuberculosis vaccines that elicit a protective immune response in the lungs is important for the development of an effective vaccine against tuberculosis. METHODS AND PRINCIPAL FINDINGS: In this study, a comparison of intranasal (i.n.) and subcutaneous (s.c.) vaccination with the BCG vaccine demonstrated that a single moderate dose delivered intranasally induced a stronger and sustained M. tuberculosis-specific T-cell response in lung parenchyma and cervical lymph nodes of BALB/c mice than vaccine delivered subcutaneously. Both BCG and a multicomponent subunit vaccine composed of nine M. tuberculosis recombinant proteins induced strong antigen-specific T-cell responses in various local and peripheral immune compartments. Among the nine recombinant proteins evaluated, the alanine proline rich antigen (Apa, Rv1860) was highly antigenic following i.n. BCG and immunogenic after vaccination with a combination of the nine recombinant antigens. The Apa-induced responses included induction of both type 1 and type 2 cytokines in the lungs as evaluated by ELISPOT and a multiplexed microsphere-based cytokine immunoassay. Of importance, i.n. subunit vaccination with Apa imparted significant protection in the lungs and spleen of mice against M. tuberculosis challenge. Despite observed differences in the frequencies and location of specific cytokine secreting T cells both BCG vaccination routes afforded comparable levels of protection in our study. CONCLUSION AND SIGNIFICANCE: Overall, our findings support consideration and further evaluation of an intranasally targeted Apa-based vaccine to prevent tuberculosis

New physical characterization of the Fontana Lapilli basaltic Plinian eruption, Nicaragua

The Fontana Lapilli deposit was erupted in the late Pleistocene from a vent, or multiple vents, located near Masaya volcano (Nicaragua) and is the product of one of the largest basaltic Plinian eruptions studied so far. This eruption evolved from an initial sequence of fluctuating fountain-like events and moderately explosive pulses to a sustained Plinian episode depositing fall beds of highly vesicular basaltic-andesite scoria (SiO2 > 53 wt%). Samples show unimodal grain size distribution and a moderate sorting that are uniform in time. The juvenile component predominates (> 96 wt%) and consists of vesicular clasts with both sub-angular and fluidal, elongated shapes. We obtain a maximum plume height of 32 km and an associated mass eruption rate of 1.4 × 108 kg s−1 for the Plinian phase. Estimates of erupted volume are strongly sensitive to the technique used for the calculation and to the distribution of field data. Our best estimate for the erupted volume of the majority of the climactic Plinian phase is between 2.9 and 3.8 km3 and was obtained by applying a power-law fitting technique with different integration limits. The estimated eruption duration varies between 4 and 6 h. Marine-core data confirm that the tephra thinning is better fitted by a power-law than by an exponential trend

Machine Learning in Automated Text Categorization

The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last ten years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach to this problem is based on machine learning techniques: a general inductive process automatically builds a classifier by learning, from a set of preclassified documents, the characteristics of the categories. The advantages of this approach over the knowledge engineering approach (consisting in the manual definition of a classifier by domain experts) are a very good effectiveness, considerable savings in terms of expert manpower, and straightforward portability to different domains. This survey discusses the main approaches to text categorization that fall within the machine learning paradigm. We will discuss in detail issues pertaining to three different problems, namely document representation, classifier construction, and classifier evaluation.Comment: Accepted for publication on ACM Computing Survey