Severe acute malnutrition (SAM) affects up to 50 % of children with HIV, especially those who reside in resource-constrained healthcare setting like Ethiopia. During subsequent follow-up of children factors related to incidence of SAM after antiretroviral therapy (ART) is set on, however, there is no prior evidence. An institution-based retrospective cohort study was employed among 721 HIV-positive children from 1 January to 30 December 2021. Data were entered using Epi-Data version 3.1 and exported to STATA version 14 for analysis. Bi-variable and multivariable Cox-proportional hazard models were employed at 95 % confidence intervals to identify significant predictors for SAM. According to this result, the overall mean (±sd) age of the participants was found to be 9⋅83 (±3⋅3) years. At the end of the follow-up period, 103 (14⋅29 %) children developed SAM with a median time of 30⋅3 (13⋅4) months after ART initiation. The overall incidence density of SAM was found to be 5⋅64 per 100 child (95 % CI 4⋅68, 6⋅94). Children with CD4 counts below the threshold [AHR 2⋅6 (95 % CI 1⋅2, 2⋅9, P = 0⋅01)], disclosed HIV status [AHR 1⋅9 (95 % CI 1⋅4, 3⋅39, P = 0⋅03)] and Hgb level ≤10 mg/dl [AHR 1⋅8 (95 % CI 1⋅2, 2⋅9, P = 0⋅03)] were significant predictors for SAM. Significant predictors of acute malnutrition were having a CD4 count below the threshold, children who had previously reported their HIV status, and having haemoglobin <10 mg/dl. To ensure better health outcomes, healthcare practitioners should improve earlier nutritional screening and consistent counselling at each session of care.

Mid-upper arm circumference (MUAC) is simple to use and inexpensive in Ethiopia; both MUAC and target weight are employed, although the time to cure for MUAC is not indicated. The present study is aimed to determine cure time of MUAC for children in outpatient therapeutic program. A prospective cohort study was conducted among 414 severe acute malnourished under-five children admitted to selected health twenty-two posts from 1 February to 30 July 2021, in Oromia, Ethiopia. Data were coded, entered to Ep-data version 4.2 software, and transferred to SPSS for windows version 25 software for analysis. The Multivariate Cox Proportional Hazards model was used to fit independent determinants of time to cure. All tests were two-sided and statistical implications at P-values < 0⋅05. In the present study, the minimum week for a cure was 4 weeks, the maximum was 16 weeks and the overall time to cure severe acute malnutrition as measured by MUAC is judged to be 10 at 95 % CI (9⋅65–10⋅35). Families with six or more members are 2⋅16 times more at risk, children from homes with the lowest wealth index are at 1⋅4 times more risk, and children from food insecure families were 2⋅61 times more likely to require long-term treatment for MUAC. In the present study, the time to cure severe acute malnutrition by MUAC is determined as 10 weeks. Moreover, family size, low wealth index, and household food insecurity were risks to delay in cure time MUAC.

Relapse/repeated episodes are defined as the admission of a child with a diagnosis of severe acute malnutrition (SAM) after being discharged with a status of recovery. However, there is a lack of study that documented the time to relapse of SAM and its risk factors. The present study aimed to identify the time of relapse and its risk factor among under-five children discharged after undergoing treatment for SAM in health facilities of Hadiya Zone, South Ethiopia. An institution-based retrospective cohort study was carried out in the Hadiya Zone of Southern Ethiopia among under-five children. Data were collected from 760 cards of severe acute malnourished children over the past 5 years spanning from 2014/15 to 2019/20. Both first admission and relapse data were abstracted from the records of the SAM children from 1 August to 30 August 2020 and cards of children that were admitted to program by transferee with complete records were included. After checking all the assumptions, multivariable Cox Proportional Hazards model was fitted to isolate independent determinants of time to cure. All tests were two-sided and statistical significance at P-values < 0⋅05. The mean(±sd) time for relapse of SAM among under-five children was 22(±9⋅9) weeks from discharge to relapse time. On multivariable Cox Proportional Hazards model, the hazard of relapse for SAM was significantly higher for children who had oedema (AHR 2⋅02, 95 % CI 1⋅17, 3⋅50), age of 6–11 months (AHR 5⋅2, 95 % CI 1⋅95, 13⋅87) had discharge MUAC not cured (AHR12, 95% CI 7⋅90, 19⋅52). The finding showed that children discharged from SAM are likely to have relapse in 3 weeks time.

The temporal and spatial variability of oceanographic properties in Potter Cove was analysed for the 2010–17 summer periods. This was linked with meteorological parameters and sea ice. The water column structure presented significant differences in turbidity between two areas (away from and closer to the Fourcade Glacier). The recent retreat has been transforming it into a land terminating glacier. Therefore, correlations obtained between oceanographic properties near the glacier and meteorological parameters reveal that atmospheric conditions are the main forcing of the Potter system, in agreement with previous studies. Also, high turbidity values within deeper waters in 2013 and 2014 were probably related to resuspended glacial sediment input into the cove. Interannual variability observed in the local parameters was connected to ENSO and SAM, reflecting a larger connection with ENSO, mainly in longer timescales. Colder waters during the 2010 and 2016 El Niño phases could be related to lower air temperature. In summer 2010 during a negative SAM phase, colder, more saline and low turbid waters were observed. Alternatively, in 2012 during La Niña and positive SAM, warmer, fresher and more turbid conditions were found with high vertical stratification. Finally, during 2015 (positive SAM), warmer and low salinity waters were observed.

The objective of this study was to develop new standardized alcohol-associated cues and assess their effects on brain activation with functional magnetic resonance imaging (fMRI). Pictures of alcoholic and neutral beverages and affectively neutral pictures were presented to 44 abstinent alcoholics and 37 age-matched healthy control subjects. We assessed the skin conductance response, and the elicited arousal and valence. Alcoholics and control subjects did not differ in arousal, valence or skin conductance response evoked by alcohol-associated and affectively neutral stimuli, while nonalcoholic beverages were rated as more unpleasant and arousing by alcoholics compared with control subjects. In the fMRI pilot study, alcohol and abstract pictures were presented to six abstinent alcoholics and induced a significant activation of brain areas associated with visual emotional processes such as the fusiform gyrus, parts of the brain reward system (basal ganglia and orbitofrontal gyrus) and further brain regions in the frontal and parietal cortices associated with the attention network. These observations suggest that standardized pictures of alcoholic beverages can be used to assess brain circuits involved in the processing and evaluation of alcohol cues.

Localization and mapping in indoor environments, such as airports and hospitals, are key tasks for almost every robotic platform. Some researchers suggest the use of Range-Only (RO) sensors based on WiFi (Wireless Fidelity) technology with SLAM (Simultaneous Localization And Mapping) techniques to solve both problems. The current state of the art in RO SLAM is mainly focused on the filtering approach, while the study of smoothing approaches with RO sensors is quite incomplete. This paper presents a comparison between filtering algorithms, such as EKF and FastSLAM, and a smoothing algorithm, the SAM (Smoothing And Mapping). Experimental results are obtained in indoor environments using WiFi sensors. The results demonstrate the feasibility of the smoothing approach using WiFi sensors in an indoor environment.

Variations of the mechanical properties of red blood cells that occur during their life span have long been an intriguing task for investigations. The research presented is based on noninvasive monitoring of red blood cells of different ages performed by scanning acoustic microscopy with magnitude and phase contrast. The characteristic signature of fixed cells from groups of three different ages fractionated according to mass density is obtained from the acoustic microscope images, with the data represented in polar graphs. The analysis of these data enables the determination of averaged values for the velocities of ultrasound propagating in the cells from the different groups ranging from (1,681 ± 16) m s−1 in the youngest to (1,986 ± 20) m s−1 in the oldest group. The determined bulk modulus varies with age from (3.04 ± 0.05) GPa to (4.34 ± 0.08) GPa. An approach to determine for an age-mixed population of red blood cells, collected from a healthy person, the age of the individual cells and the age dependence of the cell parameters including density, velocity, and attenuation of longitudinal polarized ultrasonic waves traveling in the cells is demonstrated.