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The cerebroplacental ratio (CPR) is emerging as a predictor for adverse perinatal outcome in term pregnancies. Earlier, it has shown a role in small for gestational age (SGA) pregnancies, but a proportion of appropriate for gestational age foetuses (AGA) despite of good size have impaired growth velocity and are thereby at risk of adverse outcome. CPR has implication for assessment of well being of SGA and AGA foetuses close to term.

To investigate the association between foetal CPR and adverse perinatal outcome in uncomplicated term AGA pregnancies.

This was a prospective observational study done in Department of Obstetric and Gynaecology, King George Medical University, Lucknow, over a period of one year. Women>37 week singleton pregnancy with no known risk factor who had Doppler USG done within a week of delivery were included. CPR was calculated by dividing the Doppler indices of middle cerebral artery (MCA) by umbilical artery (MCA PI/UA PI). CPR<1 was taken as abnormal. These patients were followed up till delivery to look for various perinatal outcomes. Results Out of 127 low-risk AGA pregnancies who went for USG colour Doppler scan, 117 patients who met our inclusion criteria were analysed; out of 117 patients 23(i.e. 19.65 %) were having CPR<1 and 94 patients (i.e. 80.34%) were having CPR>1. Among 23 patients with CPR<1, 22 (91.30%) had adverse outcome as compared to only 20.21% patients with CPR>1, and this is found to be statistically significant (p<0.001).

Our study found CPR measure to be a very promising tool for optimising the identification of at risk foetus in low-risk AGA pregnancies.

Our study found CPR measure to be a very promising tool for optimising the identification of at risk foetus in low-risk AGA pregnancies.

High educational and teaching standards were the main reason why from the begging student satisfaction surveys and assessments of the students' knowledge, attitudes and opinions were paramount in the educational process at the Cathedra for Medical Informatics at the Medical Faculty University of Sarajevo.

The aim of this study was to evaluate general knowledge of the fourth semester students about informatics and medical informatics and compare it with previous generations.

Students at the beginning of the fourth semester and before second planned lectures receive "Questionnaire for biomedical students about use and knowledge of information technologies". Collected data was retrospectively used for this study. The scientific study committee of the Cathedra for Medical Informatics reviewed and approved the database for using this study. At the beginning of the survey, all students were informed that their data could be tracked. Also, all students were informed and got lectures on surveys, development andgnificant IT knowledge and skills. It can even be argued that students rank their knowledge in some way lower than we as teachers estimate based on their practical work. They organize groups on social networks where they exchange information about lectures and exams. It is common for each study year to have its own group. Through this group, information and presentations that teachers send to students are exchanged. One of the goals of teaching medical informatics is the method of searching for medical information on the Internet. The skills learned in medical informatics classes complement those learned earlier and provide a solid base for physicians who are able to supplement their knowledge using IT technologies when they need it.

Dementia is a progressive disorder associated with age, which is characterized by deterioration of individuals' cognitive functions such as the ability to perform routine tasks. With the increase of human life expectancy, the prevalence of dementia patients will reach 152 million in 2050. Unfortunately, there is no treatment available to cure dementia or alter the course of its progression. However, there is an area of support for patients and caregivers to assist daily living. Technological devices and applications are increasingly advancing, exploiting sensory data for dementia patients and homecare using smartphones to permit monitoring of their activities.

This paper uses the labeled dataset besides comparing the 3-classification algorithm to evaluate whether or not the algorithms deployed can classify the activities with high accuracy.

A public data is used to classify human activities into one of the six activities, BigML platform is used to build machine learning models. Results show that machine learning algorithms can achieve high accuracy. The activity recognition algorithms are highly accurate using ridged regression and deep neural networks, with almost all activities being recognized correctly over 98% of the time.

An application of smartphones can be utilized for human activities monitoring by proposing a high level for dementia patients and homecare monitoring services. Using this service, the patients only need to carry the smartphone, and their caregivers simply need to use the application that monitors their patients' activities.

An application of smartphones can be utilized for human activities monitoring by proposing a high level for dementia patients and homecare monitoring services. Using this service, the patients only need to carry the smartphone, and their caregivers simply need to use the application that monitors their patients' activities.

We aimed to compare the levels of clinical, biochemical, hormonal, and metabolic parameters as well as serum CRP, fibrinogen, leptin, and adiponectin in cases with PCOS and control group to investigate whether they play a role in the etiology of the syndrome.

The present study included a total of 90 subjects, 45 subjects were diagnosed with PCOS (

= 45) and 45 subjects served as control group (

= 45). Serum CRP, fibrinogen, leptin, and adiponectin levels were analyzed for each subject.

Serum CRP, fibrinogen, and leptin were found to be higher (statistically significant) in the group with PCOS as compared to the control group (

< 0.05). selleck compound Serum Adiponectin was higher in the control group (statistically significantly) as compared with the patients in the PCOS group (

< 0.05).

CRP and fibrinogen (cardiac risk factor markers) increase in women with PCOS. The levels of leptin which affects metabolism increase, whereas the levels of adiponectin decrease.

CRP and fibrinogen (cardiac risk factor markers) increase in women with PCOS.