Robust permanence for ecological equations with internal and external feedbacks.

Species experience both internal feedbacks with endogenous factors such as trait evolution and external feedbacks with exogenous factors such as weather. These feedbacks can play an important role in determining whether populations persist or communities of species coexist. To provide a general mathematical framework for studying these effects, we develop a theorem for coexistence for ecological models accounting for internal and external feedbacks. Specifically, we use average Lyapunov functions and Morse decompositions to develop sufficient and necessary conditions for robust permanence, a form of coexistence robust to large perturbations of the population densities and small structural perturbations of the models. We illustrate how our results can be applied to verify permanence in non-autonomous models, structured population models, including those with frequency-dependent feedbacks, and models of eco-evolutionary dynamics. In these applications, we discuss how our results relate to previous results for models with particular types of feedbacks

Predicting DDoS Attacks Preventively Using Darknet Time-Series Dataset

The cyber crimes in today’s world have been a major concern for network administrators. The number of DDoS attacks in the last few decades is increasing at the fastest pace. Hackers are attacking the network, small or large with this common attacks named as DDoS. The consequences of this attack are worse as it disrupts the service provider’s trust among its customers. This article employs machine learning methods to estimate short-term consequences on the number and dimension of hosts that an assault may target. KDD Cup 99, CIC IDS 2017 and CIC Darknet 2020 datasets are used for building a prediction model. The feature selection for prediction is based on KDD Cup 99 and CIC IDS 2017 dataset; CIC Darknet 2020 dataset is used for prediction of impact of DDoS attack by employing LSTM (Long Short Term Memory) algorithm. This model can help network administrators to identify and preventively predict the attacks within five minutes of the commencement of the potential attack

Comparative Analysis between DCT & DWT Techniques of Image Compression

Image compression is a method through which we can reduce the storage space of images, videos which will helpful to increase storage and transmission process's performance. In image compression, we do not only concentrate on reducing size but also concentrate on doing it without losing quality and information of image. In this paper, two image compression techniques are simulated. The first technique is based on Discrete Cosine Transform (DCT) and the second one is based on Discrete Wavelet Transform (DWT). The results of simulation are shown and compared different quality parameters of its by applying on various images Keywords: DCT, DWT, Image compression, Image processin

A study of caesarean section rate by using Robson's ten group classification system at tertiary care hospital, Ahmedabad, India

Background: Caesarean delivery rate is rising continuously worldwide and is matter of concern. The Robson’s Ten-group classification system allows critical analysis of caesarean deliveries thereby helps to optimise caesarean section rates. Methods: This study was conducted at GMERS medical college and hospital, Sola, Ahmedabad, Gujarat, India. All patients who delivered between November 2021 and May 2022, were included in the study and were classified in 10 groups according to modified Robson’s classification system. The CS rate and contribution to the overall CS rate was calculated within each group.Results: Total number of deliveries was 836, out of them 242 was CS. The CS rate was 28.94%. The main contribution to overall caesarean rate was 39.67% by group 5, followed by 17.77% by group 1, 10.33% by group 2. CS rates among various group ranges from 100% among women with abnormal lie (group 9) to 88% in nulliparous breech (group 6), 84.95% in previous CS (group 5), 40.62% in multiparous breech (group 7) and least 3.57% in multipara spontaneous labour (group 3).Conclusions: The Robson groups 1, 2, 5 and 6 were found to be the major contributors to the overall CS rate. These groups may be targeted for effective interventions to reduce the CS rate. Reduction of primary caesarean delivery, promoting vaginal birth after CS, and careful assessment of cases before induction of labour in nulliparous women, are likely to be a few effective strategies

Induction of somatic embryogenesis and genetic fidelity of endangered medicinal herb Curculigo orchioides Gaertn

An efficient regeneration system, through somatic embryogenesis was developed for Curculigo orchioides Gaertn - an endangered medicinal herb. Somatic embryos weredeveloped on MS medium containing 8 - 15μM BA from leaf explants. The highest, 69 % leafexplants responded in terms of embryogenic calli with average 8 embryos on MS mediumcontaining 8μM BA. Regenerated plantlets were transferred to autoclaved mixture of soil:sand: compost (1:1:1; v/v/v) for hardening. Genetic fidelity of somatic embryogenesis derivedregenerant was assessed using random amplified polymorphic DNA (RAPD)

The study of adverse drug reactions in indoor patients of tuberculosis taking standardized antitubercular therapy (directly observed treatment short-course and programmatic management of drug resistant tuberculosis) in a tertiary care hospital at Surat

Background: Tuberculosis is a serious public health issue in India. The treatment regimen followed is Directly observed treatment short-course (DOTS) and Programmatic Management of Drug resistant Tuberculosis (PMDT) approach. In a long period of treatment adverse drug reactions (ADRs) can be an important programmatic issue. Thus, study was undertaken to assess the ADRs caused by antitubercular therapy in indoor patients in a tertiary care hospital at Surat.Methods: The Observational, prospective study was carried out for one year period. The causality was determined by WHO UMC scale and severity was determined by Modified Hartwig and Siegel scale. Chi square test was applied for statistical analysis.Results: Among 255 tuberculosis patients, 85 (33.3%) patients developed ADRs. Occurrence of ADRs was more among females (46.6%). The commonly involved systems are gastrointestinal (40.6%) followed by haematological (17.9%). The most common ADRs observed were nausea and vomiting (21.7%). High percentage of ADRs causing drugs were isoniazid (30.6%) followed by rifampicin (26.1%). Causality assessment showed 60.4% ADRs were possible, 37.7% ADRs were probable and 1.9% ADRs was certain. Severity assessment scale showed 81.1% of moderate, 12.3% of mild and 6.6% of severe grading. Occurrence of ADRs was more among PMDT (60%) in comparison to DOTS therapy (31.06%) [p value = 0.0084 (significant p value < 0.05)].Conclusions: Antitubercular treatment is safer but early detection, management and reporting of ADRs is required to prevent it at initial stage and helps to decrease default rate