Intelligent Controller Based on Artificial Neural Network and INC Based MPPT for Grid Integrated Solar PV System

Solar photovoltaic (PV) systems have become an integral part of today's advanced energy infrastructure due to its low kinetic energy, its abundance availability, and its freedom from human interference. Solar PV systems have the potential to greatly reduce our reliance on fossil fuels, but their intermittent nature means they cannot provide a constant source of electricity. The system's security should be well thought out, and it should be able to withstand a lot of abuse. The current energy system faces a significant difficulty in ensuring continuous supply. In this study, a three-phase, two-stage photovoltaic system that is managed by artificial neural networks (ANN). A DC-DC boost converter with maximum power point tracking (MPPT) based on the incremental conductance (INC) method is incorporated in the first stage. In the next step, an ANN-based controller optimizes the performance of a three-phase switching PWM inverter that is connected to the grid by controlling currents along the d-q axis. Comprehensive simulations were carried out using MATLAB or Simulink to evaluate the system's performance under various illumination and temperature conditions. Results show that the suggested approach outperforms the baseline in a number of areas. Better dynamic reactions, accurate tracking of reference currents within permissible bounds, and quick settling periods after startup are all displayed by it. These findings show that our method has the potential to greatly improve the efficiency and dependability of solar PV systems. The results of this study have implications for renewable energy in general and present a viable path toward enhancing the resilience and sustainability of energy infrastructure

SUFFICIENT CONDITIONS FOR NONUNIFORM WAVELET FRAMES ON LOCAL FIELDS

The main objective of this paper is to establish a set of sufficient conditions for nonuniform wavelet frames on local fields of positive characteristic. The conditions proposed are stated in terms of the Fourier transforms of the wavelet system’s generating functions

Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial

SummaryBackground Azithromycin has been proposed as a treatment for COVID-19 on the basis of its immunomodulatoryactions. We aimed to evaluate the safety and efficacy of azithromycin in patients admitted to hospital with COVID-19.Methods In this randomised, controlled, open-label, adaptive platform trial (Randomised Evaluation of COVID-19Therapy [RECOVERY]), several possible treatments were compared with usual care in patients admitted to hospitalwith COVID-19 in the UK. The trial is underway at 176 hospitals in the UK. Eligible and consenting patients wererandomly allocated to either usual standard of care alone or usual standard of care plus azithromycin 500 mg once perday by mouth or intravenously for 10 days or until discharge (or allocation to one of the other RECOVERY treatmentgroups). Patients were assigned via web-based simple (unstratified) randomisation with allocation concealment andwere twice as likely to be randomly assigned to usual care than to any of the active treatment groups. Participants andlocal study staff were not masked to the allocated treatment, but all others involved in the trial were masked to theoutcome data during the trial. The primary outcome was 28-day all-cause mortality, assessed in the intention-to-treatpopulation. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936.Findings Between April 7 and Nov 27, 2020, of 16 442 patients enrolled in the RECOVERY trial, 9433 (57%) wereeligible and 7763 were included in the assessment of azithromycin. The mean age of these study participants was65·3 years (SD 15·7) and approximately a third were women (2944 [38%] of 7763). 2582 patients were randomlyallocated to receive azithromycin and 5181 patients were randomly allocated to usual care alone. Overall,561 (22%) patients allocated to azithromycin and 1162 (22%) patients allocated to usual care died within 28 days(rate ratio 0·97, 95% CI 0·87–1·07; p=0·50). No significant difference was seen in duration of hospital stay (median10 days [IQR 5 to >28] vs 11 days [5 to >28]) or the proportion of patients discharged from hospital alive within 28 days(rate ratio 1·04, 95% CI 0·98–1·10; p=0·19). Among those not on invasive mechanical ventilation at baseline, nosignificant difference was seen in the proportion meeting the composite endpoint of invasive mechanical ventilationor death (risk ratio 0·95, 95% CI 0·87–1·03; p=0·24).Interpretation In patients admitted to hospital with COVID-19, azithromycin did not improve survival or otherprespecified clinical outcomes. Azithromycin use in patients admitted to hospital with COVID-19 should be restrictedto patients in whom there is a clear antimicrobial indication

Design and Analysis of High Performance Frequency Divider in 32 nm CMOS Technology for Biomedical Applications

In this paper, a 3-bit frequency divider (FD) using a novel sense amplifier based flip-flop (SAFF) is presented and demonstrated. The delay in this design was meticulously improved resulting in better values of power delay product (PDP).The latching stage of the proposed design makes use of a novel single ended structure. Comparative analysis in 32 nm CMOS technology using T-SPICE revealed significant and quantitative differences between the proposed design and the existing designs. The PDP results were obtained for ±10% voltage variation, wide temperature range of -40 ℃ to 125 ℃ and at extreme corner cases. Results indicated that the PDP of the new design at nominal operating conditions decreased by minimum of 27.28% and maximum of 57.49%. The proposed design was also at par with available design in terms of area and power. The analysis on the FD proved the assertions that the proposed design is a feasible alternative for high performance applications

Nutritional Profile and Management of Pediatric Oncology Patients at a Tertiary Care Hospital from Kashmir : Where do we Stand?

Introduction: Malnutrition is an adverse prognostic factor in children with cancer and its prevalence is highly variable. The nutritional status of children with cancer has been found to have an impact on the tolerance to chemotherapy and overall survival. Materials and Methods: The study was conducted at the department of Medical oncology, (SKIMS) sher-i-kashmir institute of medical sciences, Srinagar. Retrospective data of all new pediatric oncology patients <18 years of age treated from May 2018 to December 2019 was analyzed. Details on age, gender, diagnosis and anthropometry were collected from case records. Anthropometry records were collected within 24 to 48 hours of admission for every patient. Anthropometry includes weight, height, MUAC (mid upper arm circumference) and OFC (occipital frontal circumference)/ HC (head circumference) (up to the age of 3 years). Weight was measured daily while the patient is in hospital and during each outpatient visit and height was assessed after every month. Results: In this study 35.2% of children were diagnosed leukemia, 16.8% lymphoma and 48% solid tumors. A total no. of 125 pediatric patients were enrolled in the analysis. Data on weight for age were available for 125 patients at diagnosis. There were 83/125 (66.4%) male patients and 42/125 (33.6%) female patients. Majority of the patient’s belonged to the BPL (below poverty line). It was seen that 44/125(35.2%) were diagnosed leukemia, Lymphoma 21/125 (16.8%) and other solid tumors 60/125(48%).Conclusion: Nutrition assessment is important as childhood cancer survivors have been seen to have major issues related to nutrition. Both under nutrition and obesity can affect treatment outcome. Anticancer treatment in children is often very intense and may affect the nutritional status of children and therefore their physical and psychological development. Proper nutritional assessment is important for timely nutritional intervention and prevention of complications associated with malnutrition