Seasonal undernutrition in rural Ethiopia:

Marked seasonal variability of both production- and consumption is characteristic of virtually all farming systems in the developing world. This study examines the magnitude and significance of seasonal undernutrition in south central Ethiopia, southern Shewa and Zigwa Boto, a peasant association in the Gurage Zone. The study seeks to answer five questions: (1)Does seasonal energy stress affect individuals of various age groups and sexes differently? (2)Do members of the same household show divergent responses to seasonal energy stress? (3)What are the functional consequences of different levels of adult undernutrition? (4)Are the current anthropometric cut-off points for adults appropriate for rural Ethiopia? (5)What household characteristics are associated with vulnerability to seasonal undernutrition? A number of important findings emerge from this research.....The study clarifies some points of contention in the field of adult undernutrition and shows how seasonal undernutrition operates as an intermittent warning signal, reminding us not to miss opportunities to promote good nutrition throughout the life cycle.Nutrition, Ethiopia, Malnutrition., Food crops., Climate.,

Surgically treated acute abdomen at Gondar University Hospital, Ethiopia.

Background: Acute abdomen is an acute onset of abdominal disease entities that require immediate surgical intervention in most of the cases. The numbers of researches done on acute abdomen in general are Very few in Ethiopia. The main objective of this study was to document the burden of acute abdomen in general and the outcome of emergency laparotomyMethods: This was a retrospective study on surgically treated acute abdomen performed at Gondar University Hospital (GUH) from September 1998 to August 2002Results: More than 1 in 10 operations done in GUH were for acute abdomen. Nearly a quarter of the operations performed in the study period were laparotomies, 43.3% of which were on emergency bases. Majority of surgically treated acute abdomen patients were from rural areas (58.2%). The sex composition was significantly different by place of residence (X2= 12.74, p=0.0017). Abdominal pain (100%), Vomiting (90.3%), abdominal distension (58.3%) and constipation (55.3%) were the commonest symptoms in patients with acute abdomen.Conclusion: This study has shown what the commonest symptoms of acute abdomen are and that the outcome of emergency laparotomy may be affected by different factors. Some of these factors were duration of illness, age, presence of peritonitis, Haematocrit level and complication detection time. Since the management is almost the same for almost all causes of surgical acute abdomens, the abovementioned factors should be given due attention in handling such patients. The reasons for low appearance of rural female dwellers to better health care centres need to be investigated

Determinants of calcified placenta and its association with fetal outcome among mothers who gave birth in Southern Ethiopia, 2018

Background: Placenta is a complex multifunctional organ that maintains pregnancy and promotes normal fetal development. Fetal outcome is adversely influenced by pathological changes in placenta because it is a mirror which reflects intrauterine status of fetus. Placental abnormalities are considered as leading cause of maternal and perinatal mortality. Objective of the study was to assess determinants of calcified placenta and its association with fetal outcomes.Methods: Institutional based unmatched case-control study was conducted on 213 placentas from mothers who gave birth at Dilla university referral hospital with an age range of 19-34 years. Calcifications were assessed radiologically and graded according to Grannum. Bivariate logistic regression analysis was identified and fitted to the multiple logistic regression analysis to identify the independent effects of each variable to the outcome variable. Chi-square test was used to find the potential association between grade two and above levels of calcification and fetal outcomes.Results: Total 213 singles parturient with their placenta above 37 weeks gestational age were included. The likelihood of developing grade two and above level of calcification associated with the following variables: educational status (OR=3.134; 95%CI: 1.208, 8.135),parity (OR 3.125; 95% CI: 1.354, 7.213) ,maternal anemia (OR 6.834;95%C: I2.626,17.803), smoking (OR 6.343;95% CI: 2.624,15.334),  abruption (OR 6.046;95% CI: 2.392,15.277), and pregnancy- induced hypertension (OR 4.868 ;95% CI: 2.095,11.354). In this study, neonatal outcomes in grade II and above level of calcification were poorer than grade I and bellow level of calcification in chi-square association test.Conclusions: Grade II and above level of placental calcification (case) was significantly associated with maternal pregnancy-induced pathologies, number of parity, maternal educational status, and results in different kind of anomalies, maternal and neonatal mortality. Therefore, the practice of placental examination before and after birth guarantees for feto-maternal wellbeing

Enhancing Dynamical Seasonal Predictions through Objective Regionalization

Improving seasonal forecasts in East Africa has great implications for food security and water resources planning in the region. Dynamically based seasonal forecast systems have much to contribute to this effort, as they have demonstrated ability to represent and, to some extent, predict large-scale atmospheric dynamics that drive interannual rainfall variability in East Africa. However, these global models often exhibit spatial biases in their placement of rainfall and rainfall anomalies within the region, which limits their direct applicability to forecast-based decision-making. This paper introduces a method that uses objective climate regionalization to improve the utility of dynamically based forecast-system predictions for East Africa. By breaking up the study area into regions that are homogenous in interannual precipitation variability, it is shown that models sometimes capture drivers of variability but misplace precipitation anomalies. These errors are evident in the pattern of homogenous regions in forecast systems relative to observation, indicating that forecasts can more meaningfully be applied at the scale of the analogous homogeneous climate region than as a direct forecast of the local grid cell. This regionalization approach was tested during the July– September (JAS) rain months, and results show an improvement in the predictions from version 4.5 of the Max Plank Institute for Meteorology’s atmosphere–ocean general circulation model (ECHAM4.5) for applicable areas of East Africa for the two test cases presented

Enhancing Dynamical Seasonal Predictions through Objective Regionalization

Improving seasonal forecasts in East Africa has great implications for food security and water resources planning in the region. Dynamically based seasonal forecast systems have much to contribute to this effort, as they have demonstrated ability to represent and, to some extent, predict large-scale atmospheric dynamics that drive interannual rainfall variability in East Africa. However, these global models often exhibit spatial biases in their placement of rainfall and rainfall anomalies within the region, which limits their direct applicability to forecast-based decision-making. This paper introduces a method that uses objective climate regionalization to improve the utility of dynamically based forecast-system predictions for East Africa. By breaking up the study area into regions that are homogenous in interannual precipitation variability, it is shown that models sometimes capture drivers of variability but misplace precipitation anomalies. These errors are evident in the pattern of homogenous regions in forecast systems relative to observation, indicating that forecasts can more meaningfully be applied at the scale of the analogous homogeneous climate region than as a direct forecast of the local grid cell. This regionalization approach was tested during the July– September (JAS) rain months, and results show an improvement in the predictions from version 4.5 of the Max Plank Institute for Meteorology’s atmosphere–ocean general circulation model (ECHAM4.5) for applicable areas of East Africa for the two test cases presented

H-NS Regulation of IraD and IraM Antiadaptors for Control of RpoS Degradation

International audienceRpoS, the master sigma factor during stationary phase and under a variety of stress conditions, is regulated at multiple levels, including regulated degradation. Degradation is dependent upon ClpXP and the RssB adaptor protein. H-NS, a nucleoid-associated protein, affects the regulated degradation of RpoS; in the absence of H-NS, RpoS is stable. The mechanisms involved in this regulation were not known. We have found that H-NS inhibits the expression of iraD and iraM, the genes coding for two antiadaptor proteins that stabilize RpoS when overexpressed. The regulation by H-NS of iraM is independent from the previously demonstrated regulation by the PhoP/PhoQ two-component system. Moreover, differences in the behavior of several hns alleles are explained by a role for StpA, an H-NS-like protein, in the regulation of RpoS stability. This finding parallels recent observations for a role of StpA in regulation of RpoS stability in Salmonella

Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India

The increasing drought severities and consequent devastating impacts on society over the Indian semi-arid regions demand better drought monitoring and early warning systems. Operational agricultural drought assessment methods in India mainly depend on a single input parameter such as precipitation and are based on a sparsely located in-situ measurements, which limits monitoring precision. The overarching objective of this study is to address this need through the development of an integrated agro-climatological drought monitoring approach, i.e., combined drought indicator for Marathwada (CDI_M), situated in the central part of Maharashtra, India. In this study, satellite and model-based input parameters (i.e., standardized precipitation index (SPI-3), land surface temperature (LST), soil moisture (SM), and normalized difference vegetation index (NDVI)) were analyzed at a monthly scale from 2001 to 2018. Two quantitative methods were tested to combine the input parameters for developing the CDI_M. These methods included an expert judgment-based weight of each parameter (Method-I) and principle component analysis (PCA)-based weighting approach (Method-II). Secondary data for major types of crop yields in Marathwada were utilized to assess the CDI_M results for the study period. CDI_M maps depict moderate to extreme drought cases in the historic drought years of 2002, 2009, and 2015–2016. This study found a significant increase in drought intensities (p ≤ 0.05) and drought frequency over the years 2001–2018, especially in the Latur, Jalna, and Parbhani districts. In comparison to Method-I (r ≥ 0.4), PCA-based (Method-II) CDI_M showed a higher correlation (r ≥ 0.60) with crop yields in both harvesting seasons (Kharif and Rabi). In particular, crop yields during the drier years showed a greater association (r \u3e 6.5) with CDI_M over Marathwada. Hence, the present study illustrated the effectiveness of CDI_M to monitor agricultural drought in India and provide improved information to support agricultural drought management practices

Pneumothorax in COVID-19 Acute Respiratory Distress Syndrome: Case Series.

Objective The study aims to describe the clinical characteristics and outcomes of patients with COVID-19 related acute respiratory distress syndrome (ARDS) who developed pneumothorax. Design and setting A retrospective chart review was performed of the electronic medical record. Patients were included if they were identified as having confirmed COVID-19 as well as pneumothorax from March 16, 2020 to May 31, 2020. Patients\u27 demographic and clinical characteristics, mechanical ventilator parameters, lung compliance measurements and outcomes during hospitalization were collected. This case series was conducted in intensive care units at two large tertiary care centers within the Northwell Health System, located in New York State. Patients A total of 75 patients were identified who were predominantly male (73.3%) with an average age of 62.8 years. Thirty (40%) were Hispanic, 20 (26.7%) were White, 16 (21.3%) were Asian, and nine (12%) were Black. Common comorbid conditions were hypertension (52%), diabetes mellitus (26.7%), hyperlipidemia (32.0%), and chronic pulmonary disease (8, 10.7%). Measurements and main results Most of the patients were diagnosed with pneumothorax while on mechanical ventilation (92%) despite overall adherence with lung-protective ventilation strategies. Average tidal volume was 6.66 mL/kg) of ideal body weight. The average positive end-expiratory pressure (PEEP) was 10.83 (cm) H2O. Lung compliance was poor, with average peak and plateau pressures of 41.9 cm H2O and 35.2 cm H2O, respectively. Inpatient mortality was high in these patients (76%). Conservative management with initial observation had a success rate (73.3%) with similar mortality and shorter length of stay (LOS) on average. Significant factors in the conservatively managed group included lack of tension physiology, the smaller size of pneumothorax, lack of underlying diabetes, presence of pneumomediastinum, and not being on mechanical ventilation during diagnosis. Conclusion Despite overall adherence to best practice ventilator management in ARDS, we observed a large number of pneumothoraces during the COVID-19 pandemic. Conservative management may be appropriate if there are no clinical signs or symptoms of tension physiology and pneumothorax size is small

Entanglement criterion for pure M⊗NM\otimes N bipartite quantum states

We propose a entanglement measure for pure $M \otimes N$ bipartite quantum states. We obtain the measure by generalizing the equivalent measure for a $2 \otimes 2$ system, via a $2 \otimes 3$ system, to the general bipartite case. The measure emphasizes the role Bell states have, both for forming the measure, and for experimentally measuring the entanglement. The form of the measure is similar to generalized concurrence. In the case of $2 \otimes 3$ systems, we prove that our measure, that is directly measurable, equals the concurrence. It is also shown that in order to measure the entanglement, it is sufficient to measure the projections of the state onto a maximum of $M(M-1)N(N-1)/2$ Bell states.Comment: 6 page