Ochre, ground stone and wrapping the dead in the Late Epipalaeolithic (Natufian) Levant: revealing the funerary practices at Shubayqa 1, Jordan

The appearance of rich and diverse funerary practices is one of the hallmarks of the Late Epipalaeolithic Natufian in the Levant. Numerous burials at a number of sites excavated mostly in the Mediterranean zone of the southern Levant have fed into the interpretation of the Natufian as a sedentary society of complex hunter-gatherers. Here, we report on the human remains recovered from Shubayqa 1, a well-dated early to late Natufian site in northeast Jordan. The majority of the minimum of 23 individuals that are represented are perinates and infants, which represents an atypical population profile. Ground stone artifacts and traces of colourants are associated with some of these individuals, providing a rare insight into funerary treatment of subadults in Natufian contexts. We interpret the Shubayqa 1 evidence in the light of current and ongoing debates concerning Natufian burial practices and the issue of social complexity

A Face Authentication System Using Landmark Detection

Biometric data is the key for many security applications. Authentication relies on the individual’s measurable biometric properties collected as features. In this study, a face authentication system is built to be used in opening the entrance door accessing to the apartments and housing estates. The proposed system consists of three stages. In the first stage, landmarks on the face are captured using a deep neural network. Then six selected features from the landmarks are extracted and traditional machine learning algorithms are used to authenticate users. In the last stage, a user interface is built. Face recognition tests achieved an accuracy rate of 89.79%

A Flower Status Tracker and Self Irrigation System (FloTIS)

The Internet of Things (IoT) provides solutions to many daily life problems. Smartphones with user-friendly applications make use of artificial intelligence solutions offered by deep learning techniques. In this work, we provide a sustainable solution to automatically monitor and control the irrigation process for detected flowers by combining deep learning and IoT techniques. The proposed flower status tracker and self-irrigation system (FloTIS) is implemented using a cloud-based server and an Android-based application to control the status of the flower which is being monitored by the local sensor devices. The system detects changes in the moisture of the soil and provides necessary irrigation for the flower. In order to optimize the water consumption, different classification algorithms are tested. The performance comparisons of similar works for example flower case denoted higher accuracy scores. Then the best generated deep learning model is deployed into the smartphone application that detects the flower type in order to determine the amount of water required for the daily irrigation for each type of flower. In this way, the system monitors water content in the soil and performs smart utilization of water while acknowledging the user

The effect of tadalafil therapy on kidney damage caused by sepsis in a polymicrobial septic model induced in rats: a biochemical and histopathological study

Introduction: Sepsis is an inflammatory reaction to bacteria involving the whole body and is a significant cause of mortality and economic costs. The purpose of this research was to determine whether tadalafil exhibits a preventive effect on sepsis in a septic model induced in rats with cecal ligation and puncture (CLP)

Growth curves for Turkish Girls with Turner Syndrome: Results of the Turkish Turner Syndrome Study Group

OBJECTIVE: Children with Turner syndrome (TS) have a specific growth pattern that is quite different from that of healthy children. Many countries have population-specific growth charts for TS. Considering national and ethnic differences, we undertook this multicenter collaborative study to construct growth charts and reference values for height, weight and body mass index (BMI) from 3 years of age to adulthood for spontaneous growth of Turkish girls with TS. METHODS: Cross-sectional height and weight data of 842 patients with TS, younger than 18 years of age and before starting any therapy, were evaluated. RESULTS: The data were processed to calculate the 3rd, 10th, 25th, 50th, 75th, 90th and 97th percentile values for defined ages and to construct growth curves for height-for-age, weight-for-age and BMI-for-age of girls with TS. The growth pattern of TS girls in this series resembled the growth pattern of TS girls in other reports, but there were differences in height between our series and the others. CONCLUSION: This study provides disease-specific growth charts for Turkish girls with TS. These disease-specific national growth charts will serve to improve the evaluation of growth and its management with growth-promoting therapeutic agents in TS patients

Disappearance of Biodiversity and Future of Our Foods

“I. Uluslararası Organik Tarım ve Biyoçeşitlilik Sempozyumu 27-29 Eylül Bayburt