Egg incubator control system with short message service (sms) fault analysis alert

The egg incubator system with temperature sensor can measure the state of the incubator and automatically change to the suitable condition for the egg. The health of the egg is very important for the development of embryo. The status condition in the incubator system will appear on the liquid crystal display (LCD) screen. To make sure all part of egg was heated by lamp, direct current (DC) motor was used to rotate iron rod at the bottom side and automatically change the position of egg. The entire element is controlled using programmable integrated circuit (PIC) – a type of microcontroller that can process a data from sensor and will execute the control element to change the condition of the incubator system. The heater is interfaced with the controller through the optocoupler. The optocoupler isolates the microcontroller from the alternating current (AC) power, thereby preventing any possible flow back of the AC into the control circuit. The software intelligent agent was embedded into 8051 family of micro controllers, emulating the attention commands of mobile cell phone using window HyperTerminal and microcontroller and thus translate  attention commands to assembly language, having machine cycle of 1.085s,R=10K,C=10ìF, t=2.17ìs,transistor collector current, Ic=800mA and emitter forward current gain, hfe gives 200.The SMS mobile cell phone using AT89C51 microcontroller in the prototype self diagnostic systems, will not only control the temperature of an incubator but also detect and analyze faults in the system. The programme used in this work is user friendly since the incubator system can move to other places. Keywords: Microcontroller, Optocoupler, Programmable Integrated Circuit (PIC) and Window HyperTermina

Growth, cell division and sporulation in mycobacteria

Bacteria have the ability to adapt to different growth conditions and to survive in various environments. They have also the capacity to enter into dormant states and some bacteria form spores when exposed to stresses such as starvation and oxygen deprivation. Sporulation has been demonstrated in a number of different bacteria but Mycobacterium spp. have been considered to be non-sporulating bacteria. We recently provided evidence that Mycobacterium marinum and likely also Mycobacterium bovis bacillus Calmette–Guérin can form spores. Mycobacterial spores were detected in old cultures and our findings suggest that sporulation might be an adaptation of lifestyle for mycobacteria under stress. Here we will discuss our current understanding of growth, cell division, and sporulation in mycobacteria

Disseminated Histoplasmosis in a 13-year-old girl: A case report

BACKGROUND: Disseminated histoplasmosis is a rare fungal infection and most documented cases are in immune-compromised individuals such as those with acquired immuno-deficiency syndrome. OBJECTIVE: To describe a case of disseminated histoplasmosis in an adolescent girl. METHOD: We report a case of disseminated histoplasmosis in a 13-year-old adolescent girl. She was admitted for 16 days because of neck masses of 3 years duration, generalized body swelling of 3 months and reduction in urinary output of 2 months. She tested negative for human immunodeficiency virus antibodies. RESULT: An autopsy was performed because a definitive diagnosis could not be made while the patient was still alive. The autopsy revealed central caseating areas in the lymph nodes and membranoproliferative glomerulonephritis. The periodic acid-Schiff staining technique for tissues showed viable yeast cells suggestive of histoplasmosis. Zeihl-Neelsen's staining for mycobacteria tuberculosis was negative. CONCLUSION: Undiagnosed case of disseminated histoplasmosis while the patient was alive is being reported in a 13-year-old girl. Disseminated histoplasmosis should be considered as a differential diagnosis of childhood chronic infections and malignancies as in Nigeria

Multi-pollutant Modeling Through Examination of Susceptible Subpopulations Using Profile Regression.

PURPOSE OF REVIEW: The inter-correlated nature of exposure-based risk factors in environmental health studies makes it a challenge to determine their combined effect on health outcomes. As such, there has been much research of late regarding the development and utilization of methods in the field of multi-pollutant modeling. However, much of this work has focused on issues related to variable selection in a regression context, with the goal of identifying which exposures are the "bad actors" most responsible for affecting the health outcome of interest. However, the question addressed by these approaches does not necessarily represent the only or most important questions of interest in a multi-pollutant modeling context, where researchers may be interested in health effects from co-exposure patterns and in identifying subpopulations associated with patterns defined by different levels of constituent exposures. RECENT FINDINGS: One approach to analyzing multi-pollutant data is to use a method known as Bayesian profile regression, which aids in identifying susceptible subpopulations associated with exposure mixtures defined by different levels of each exposure. Identification of exposure-level patterns that correspond to a location may provide a starting point for policy-based exposure reduction. Also, in a spatial context, identification of locations with the most health-relevant exposure-mixture profiles might provide further policy relevant information. In this brief report, we review and describe an approach that can be used to identify exposures in subpopulations or locations known as Bayesian profile regression. An example is provided in which we examine associations between air pollutants, an indicator of healthy food retailer availability, and indicators of poverty in Los Angeles County. A general tread suggesting that vulnerable individuals are more highly exposed and have limited access to healthy food retailers is observed, though the associations are complex and non-linear