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In emerging nations like India, the use of energy is rising quickly over time. The moment is opportune to rely increasingly on renewable energy sources, such as solar photovoltaic, to satisfy the demand. Mobile communication towers are one of the industries with the highest power consumption rates, and a lot of these towers are situated rather distant from the power grid. This research develops the performance investigation of solar photovoltaic system for mobile communication tower power feeding application. In order to power the mobile tower, a 6 kWP solar photovoltaic system with 250WP polycrystalline solar panels is designed. Multiple low dc voltage ports are needed, and isolated output dc ports at 48 V dc are made using an isolated dc-dc converter. The amount of battery bank needed is determined via mathematical modelling depending on the backup time. On the 1-dimensional platform, real-time inputs like solar radiation and panel temperature are taken into account and simulated. Results are monitored both at the panel level and at the system level using an isolated dc-dc converter for panel level monitoring. Theoretical findings are used to validate the simulation results.

Additional file 1: Fig. S1. Publication bias and Sensitivity plots (A) Funnel plot of metabolomic studies (B) Meta-analysis based on reported sensitivity among 10 studies. Heterogenity (I2) was assessed for fixed and random effects (C) Publication bias computed from AUC and calculated standard error among 19 studies. Fig. S2. Representative heat map of transcriptome datasets (A) Significant (P-value ≤ 0.05) dysregulated genes in tissues with Chronic pancreatitis compared to Controls sorted B) Significant (P-value ≤ 0.05) dysregulated genes in tissues with PDAC with a background of chronic pancreatitis compared to Controls, (C) Significant (P-value ≤ 0.05) dysregulated genes in tissues with Pancreatic ductal adenocarcinoma compared to Controls. Red and green colour depict up and downregulated genes. Fig. S3. Transcriptomics (A) Splicing index of 3 upregulated genes PIGC(21.63), PKM(-4.92), PPIB(3.51) in CP and PDAC-CP tissues. Red and green lines represent splicing index between CP and PDAC-CP for each gene respectively (B) Heatmap of 3 tumor suppressor genes AZGP1, EGLN1 and GNMT in CP and PDAC-CP tissues. Fig. S4. Gene ontology of 102 genes that were common between CP and PDAC-CP (A) Molecular function of corresponding genes of altered metabolites identified in CP and PDAC and transcriptomes of CP, PDAC-CP (B) Biological processes associated with genes identified in CP, PDAC metabolome and CP, PDAC-CP transcriptomes (C) Cellular component distribution for genes identified in CP, PC metabolome and CP, PDAC-CP transcriptomes (D) Protein class distribution for genes identified in CP, PC metabolomics and CP, PDAC-CP transcriptomes (E) Pathway analysis for genes identified in CP, PC metabolomes and CP, PDAC-CP transcriptomes. Table S1. MOOSE guidelines. Table S2. Characteristics of patients for pancreatic tissue transcriptomes. Table S3. Dysregulated genes in Chronic pancreatitis(CP) and Pancreatic ductal adenocarcinoma with a background of chronic pancreatitis(PDAC-CP), tumor suppressor genes are highlighted in yellow color. Table S4. Dysregulated genes in Pancreatic ductal adenocarcinoma with a background of chronic pancreatitis(PDAC-CP) and PDAC, tumor suppressor genes are highlighted in yellow color. Table S5. Fisher’s exact test between CP, PDAC-CP and PC groups.

Presence of heavy metal concentration in the ground water may cause health problems during intake of through different ways. Present study focused on heavy metal concentration of ground water in the sub-urban areas of Visakhapatnam City, AP, India. Most of heavy metals i.e., Aluminum (Al), Chromium (Cr), Manganese (Mn), Iron (Fe), Nickel (Ni), Zinc (Zn), Arsenic (As), Cadmium (Cd), Mercury (Hg) and Lead (Pb) were analyzed using Inductive Coupled Plasma Mass Spectroscopy (ICP-MS). Mean values of Zn (1.845) > Mn (1.203) > Fe (0.664) > Al (0.334) > Pb (0.245) > Ni (0.082) > Cr (0.066) > As (0.028) > Cd (0.012) > Hg (0.010) results respectively. Results shows that all heavy metal concentrations were exceeded the water quality permissible limit and this area were not suitable for domestic purpose and use before proper treatment.