XRD and SEM Analysis, and Semiconductor Type Determination of TiO2 for Dye-sensitized Solar Cell

Titanium dioxide (TiO2) is a wide band-gap n-type semiconductor. Anatase TiO2 is the most common structure used in high performance dye-sensitized solar cell (DSSC). Nanoporous TiO2 serves double-duty as an electron acceptor and a scaffold to hold large numbers of dye molecules in DSSC. The porosity of TiO2 is a key feature as it has roughly a thousand times greater a surface area than the equivalent flat area. In this work, TiO2 crystallite size (43.55 nm) has been calculated by using XRD data, and the morphology and the grain-size of TiO2 (average grain size of 0.2 mm ~ 0.3 mm) with different solvents have been also studied by SEM

Home Automation System of AC appliances with IR Remote Control by Raspberry Pi Zero W

Automation system is famous for all over theworld. Nowadays, people have been trying to controleverything automatically without any physical efforts.In the proposed work, home automation system hasbeen introduced to control the home AC applianceswithout any muscle power. The task of the system is toturn ON or OFF for different home AC appliances.Lighting, fan, window curtain, door pane of the smarthome system have been controlled by using IR remotecontrolled module, relay driver and Raspberry PiZero

Multi-environment BSA-seq using large F3 populations is able to achieve reliable QTL mapping with high power and resolution: An experimental demonstration in rice

Bulked-segregant analysis by deep sequencing (BSA-seq) is a widely used method for mapping QTL (quantitative trait loci) due to its simplicity, speed, cost-effectiveness, and efficiency. However, the ability of BSA-seq to detect QTL is often limited by inappropriate experimental designs, as evidenced by numerous practical studies. Most BSA-seq studies have utilized small to medium-sized populations, with F2 populations being the most common choice. Nevertheless, theoretical studies have shown that using a large population with an appropriate pool size can significantly enhance the power and resolution of QTL detection in BSA-seq, with F3 populations offering notable advantages over F2 populations. To provide an experimental demonstration, we tested the power of BSA-seq to identify QTL controlling days from sowing to heading (DTH) in a 7200-plant rice F3 population in two environments, with a pool size of approximately 500. Each experiment identified 34 QTL, an order of magnitude greater than reported in most BSA-seq experiments, of which 23 were detected in both experiments, with 17 of these located near 41 previously reported QTL and eight cloned genes known to control DTH in rice. These results indicate that QTL mapping by BSA-seq in large F3 populations and multi-environment experiments can achieve high power, resolution, and reliability