An endline survey was conducted in 2017 (July-October), following three years of intervention. Crop, vegetable and animal food production and food consumption was compared with the baseline data. There was evidence of higher production and consumption of nutrient rich foods, improved household dietary diversity; and understanding and acceptance of nutrition-sensitive agriculture. The number of items consumed under each food group, frequency of consumption of food and average per capita intake of nutrient-rich foods were found to have improved. The results provide evidence regarding feasibility of location-specific FSN models to promote sustainable and healthy diets, using locally available plant and animal food resources, to address nutrition deficiencies in farm families.Maternal and neonatal mortality in Bihar, India was far higher than the aspirational levels set out by the Sustainable Development Goals. Provider training programs have been implemented in many low-resource settings to improve obstetric and neonatal outcomes. This longitudinal investigation assessed diagnoses and management of postpartum hemorrhage (PPH), hypertensive disorders of pregnancy, birth asphyxia (BA), and low birth weight (LBW), as part of the CARE's AMANAT program in 22 District Hospitals in Bihar, between 2015 and 2017.  https://www.selleckchem.com/products/Gefitinib.html  Physicians and nurse mentors conducted clinical instruction, simulations and teamwork and communication activities, infrastructure and management support, and data collection for 6 consecutive months. Analysis of diagnosis included 11,259 non-referred and management included 11,800 total (non-referred and referred) admissions that were observed. Data were analyzed using the chi-square test for trend. PPH was diagnosed in 3.7% with no significant trend but diagnosis of hypertensive disorders increased from 1.0% to 1.7%, (ptrend = 0.04), over the 6 months. BA was diagnosed in 5.8% with no significant trend but LBW diagnoses increased from 11% to 16% (ptrend less then 0.01). Among PPH patients, 96% received fluids, 85% received uterotonics and 11% received Tranexamic Acid (TXA). There was a significant positive trend in the number of patients receiving TXA for PPH (6% to 13.8%, ptrend = 0.03). Of all neonates with BA, there were statistically significant increases in the proportion who were initially warmed, dried, and stimulated (78% to 94%, ptrend = 0.02), received airway suction (80% to 93%, ptrend = 0.03), and supplemental oxygen without positive pressure ventilation (73% to 86%, ptrend = 0.05). Diagnoses of hypertensive disorders and LBW as well as initial management of BA increased during the AMANAT program. However, underdiagnoses of PPH and hypertensive disorders relative to population levels remain critical barriers to improving maternal morbidity and mortality.
  Although hypertrophic cardiomyopathy (HCM) is considered a disease of the left ventricle (LV), right ventricular (RV) abnormalities have also been reported on. Cardiovascular magnetic resonance feature tracking (CMR-FT) accurately and reproducibly quantifies RV myocardial deformation.
 
  To investigate RV deformation disorders in childhood HCM using CMR-FT.
 
  Consecutive subjects aged <18 years with echocardiographic evidence of HCM were enrolled. Cardiovascular magnetic resonance (CMR) was performed including RV volumetric and functional assessment, and late gadolinium enhancement (LGE) imaging.
 
  We included 54 children (37 males, 68.5%) with HCM, of which 28 patients (51.8%; mean extent of 2.18 ± 2.34% of LV mass) had late gadolinium enhancement. LV outflow tract obstruction (LVOTO) was detected in 19 subjects (35.2%). In patients with LVOTO, RV global longitudinal strain (RVGLS) (-16.1±5.0 vs. -20.7±5.3, p<0.01), RVGLS rate (-1.05±0.30 vs. -1.26±0.40, p = 0.03), RV radial strain (RVR) (15.8±7.7 vs. 22.1±7.0, p<0.01) and RVR rate (0.95±0.35 vs. 1.6±0.44, p<0.01) were lower than in patients without LVOTO. The RVR rate (p<0.01) was lower in patients with LGE in comparison to patients without LGE.
 
  Children with HCM, especially with LVOTO, have significantly reduced indices of RV mechanics despite normal RV systolic function. It seems that the degree of LVOT obstruction is responsible for compromising the RV dynamics, rather than either mass or the amount of LV fibrosis.
 Children with HCM, especially with LVOTO, have significantly reduced indices of RV mechanics despite normal RV systolic function. It seems that the degree of LVOT obstruction is responsible for compromising the RV dynamics, rather than either mass or the amount of LV fibrosis.The Dendrocephalus brasiliensis, a native species from South America, is a freshwater crustacean well explored in conservational and productive activities. Its main characteristics are its rusticity and resistance cysts production, in which the hatching requires a period of dehydration. Independent of the species utilization nature, it is essential to manipulate its cysts, such as the counting using microscopes. Manually counting is a difficult task, prone to errors, and that also very time-consuming. In this paper, we propose an automatized approach for the detection and counting of Dendrocephalus brasiliensis cysts from images captured by a digital microscope. For this purpose, we built the DBrasiliensis dataset, a repository with 246 images containing 5141 cysts of Dendrocephalus brasiliensis. Then, we trained two state-of-the-art object detection methods, YOLOv3 (You Only Look Once) and Faster R-CNN (Region-based Convolutional Neural Networks), on DBrasiliensis dataset in order to compare them under both cyst detection and counting tasks. Experiments showed evidence that YOLOv3 is superior to Faster R-CNN, achieving an accuracy rate of 83,74%, R2 of 0.88, RMSE (Root Mean Square Error) of 3.49, and MAE (Mean Absolute Error) of 2.24 on cyst detection and counting. Moreover, we showed that is possible to infer the number of cysts of a substrate, with known weight, by performing the automated counting of some of its samples. In conclusion, the proposed approach using YOLOv3 is adequate to detect and count Dendrocephalus brasiliensis cysts. The DBrasiliensis dataset can be accessed at https//doi.org/10.6084/m9.figshare.13073240.