River Water Pollution Monitoring using Multiple Sensor System of WSNs

The river is a natural phenomenon thatcommonly available in the tropical region because of rainintensity. Many peoples and community like to live along theriverside for a few decades ago. The river used by thecommunity for transportation and daily activities uses riverwater. In this research objective to design and develop a newsystem with multiple sensors system to monitor river waterpollution because most of the people use it. Wireless SensorNetworks (WSNs) used in this design and developmentbecause of advantages WSNs system, multiple sensor nodesinstalled for detection of water pollution such as watertemperature, pH, electrical conductivity (EC) and dissolvedoxygen (DO). The system designed to be able to monitorriver water pollution parameters and send the information tothe data center (backend system). Arduino microcontrollerused to process and filtering the data before sending to thebackend system, only valid and valuable information tocollect and keep in the database. Results show system be ableto detect polluted water with indicating parameters andshows in a graph. Based on analysis can be concluded thatpolluted water indicator mostly from residence waste andindustry. Furthermore, WSNs sensors will deploy in somearea then compare the results each other

Modelling of wireless sensor networks for detection land and forest fire hotspot

Indonesia located in South East Asia countries with tropical region, forest fires in Indonesia is one of big issue and disaster because it happens in almost of every year, this is because of some of region consist of peat land that high risk for fire especially in dry season. Riau Province is one of region that regularly incident of forest fire with affected the length and breadth of Indonesia. Propose development of Wireless Sensor Networks (WSNs) for detection of land and forest fire hotspot in Indonesia as well as one of the main consents in this research, case location in Riau province is at one of the regions that high risk forest fire in dry season. WSNs technology used for ground sensor system to collect environmental data. Data training for fire hotspot detection is done in data center to determine and conclude of fire hotspot then potential to become big fire. The deployment of sensors located at several locations that has potential for fire incident, especially as data shown in previous case and forecast location with potential fire happen. Mathematical analysis is used in this case for modelling number of sensors required to deploy and the size of forest area. The design and development of WSNs give high impact and feasibility to overcome current issues of forest fire and fire hotspot detection in Indonesia. The development of this system used WSNs highly applicable for early warning and alert system for fire hotspot detection

Bronchogenic cyst of the interatrial septum

Although bronchogenic cysts are the most common primary mediastinal cysts, intracardiac bronchogenic cysts are extremely rare. We report a case of a bronchogenic cyst of the interatrial septum in a 42-year-old woman who presented with recent onset of dyspnea on exertion. Cardiac investigations including transthoracic echocardiography and computed tomography revealed a cystic homogeneous mass in the interatrial septum. The patient underwent surgical resection, and the resultant atrial septal defect was repaired using an autologous pericardial patch. Histopathological examination of the resected specimen revealed findings consistent with a benign bronchogenic cyst. Although bronchogenic cysts are extremely rare, they should be considered in the differential diagnoses of intracardiac tumors. Complete resection of bronchogenic cysts is recommended primarily for diagnostic and potentially therapeutic purposes

Multi-Sensor System for Monitoring of River Water Pollution

Rivers play significant roles in communities, including as source of drinking water and for transportation and other daily activities. However, water pollution is a major problem in several communities, with significant negative consequences to health and well-being and socioeconomic development. This research, therefore, aimed to design and develop a system with multiple sensors to monitor river water pollution because most communities use river water in their daily activities. In the design and development of the system, multiple sensor nodes were installed for the detection of water pollution parameters such as temperature, Electrical Conductivity (EC), water pH, and Dissolved Oxygen (DO). The system was designed to monitor river water pollution parameters and send the information to the data centre (backend system). Arduino microcontroller was used to process and filter the data before sending to the backend system. Only valuable information was collected and kept in the database. Results show that the system was able to detect polluted water by showing the parameters of interest in a graph. The polluted water indicators were mostly contributed from residential waste and industries. This work has furnished progress in the development and validation of appropriate technologies for tackling river water pollution. In the future, WSNs sensors will be deployed in some areas and the results across the different areas will be compared. Furthermore, the Internet of Things (IoT) Technology will be used for data sharing and communication

Long-term effect of feeding snacks at age 6 years on body mass index at ages 12 and 22 years

We investigated the effect of snacking habits in childhood on changes in body mass index (BMI) and high BMI in adolescence and adulthood. In total, 2141 Japanese children from the Ibaraki Children’s Cohort Study were evaluated at age 6 years (baseline), then at ages 12 and 22 years. We examined associations between snacking (scheduled times, when children wanted, and freely) at age 6 years and changes in BMI over time and the proportion of high BMI at ages 12 and 22 years, using time-dependent mixed-effects and logistic regression models. Compared with children who snacked at scheduled times, those provided snacks when they wanted experienced larger increases in BMI over time between ages 6 and 22 years (multivariable time-dependent effect: 0.03 kg/m2 for boys, p = 0.047; 0.04 kg/m2 for girls, p = 0.019). No differences were observed in children who snacked freely. A higher proportion of high BMI was found in boys who were provided snacks when they wanted compared with those who snacked at scheduled times. The multivariable odds ratio (95% confidence interval) was 1.52 (1.04–2.23) at age 12 years and 2.23 (1.12–4.45) at age 22 years. No differences were observed for girls at either age. Children who were provided snacks when they wanted showed larger increases in BMI over time compared with those who snacked at scheduled times. Boys who were provided snacks when they wanted showed the higher proportion of high BMI at follow-up

Elevation of dopamine level reduces hostseeking activity in the adult female mosquito Aedes albopictus

Background: Mosquito-borne viruses are transmitted to human hosts via blood-feeding behavior of female mosquitoes. Female mosquitoes seek a host to take blood meals (host-seeking behavior). In order to prevent virus infections, it is important to understand how they modulate host-seeking behavior. Dopamine (DA) in the central nervous system acts as a neuromediator that regulates a variety of behaviors in insects. In female mosquitoes, host-seeking behavior increases when DA levels in the head decline after emergence. However, it remains unclear whether DA directly modulates host-seeking behavior in female mosquitoes. The aim of this study was to examine whether changes in DA levels in the head affects host-seeking activity in the adult female mosquito Aedes albopictus (Ae. albopictus). Findings: We compared host-seeking behavior in one group of emerging female adults treated with L-β-3,4-dihydroxyphenylalanine (L-DOPA), the precursor of DA, (L-DOPA group), with that in an untreated control (control group) after confirming elevation of head DA in L-DOPA group by using high-performance liquid chromatography. The content of head DA in L-DOPA group significantly remained higher than that in controls on all days examined. The host-seeking activity in the control group showed a gradual increase over the 6-day experimental period. In contrast, there was no such increase in the host-seeking activity in the L-DOPA group. Therefore, the host-seeking activity of L-DOPA group was significantly lower than that of the controls between day 3 and 6 post-emergence. Conclusion: Our results indicate that elevation of DA level reduces host-seeking activity in adult female mosquito Ae. albopictus