The Sahel is a region particularly characterized by undernutrition in several forms. In Burkina Faso, where several interventions have been carried out across the past several years, the nutritional situation of children under five years of age is still characterized by persistent stunting in the Est, Sahel, and Cascades regions. This study aims to understand the factors associated with the high prevalence of chronic malnutrition in these regions. National nutrition survey data as well as data from the Ministry of Water and Sanitation were used for bivariate and multivariate statistical analyses to identify factors statistically associated with stunting in children aged 0-59 months who participated in the national nutritional surveys from 2009 to 2019. Around one in ten mothers in all regions had no schooling at all. The improving of IYCF practice has a positive impact on the reduction of the prevalence of chronic malnutrition among children in the Cascades, Est and Sahel regions. In the three target regions, gender and province were significantly associated with stunting. Fever, diarrhea, vitamin A supplementation, household size, and maternal education level were also associated with stunting but only in the Sahel and Cascades regions. Overall, the results of the study show that the fight against stunting must be carried out in a multisectoral approach and target certain provinces particularly because stunting is not uniformly present in all provinces.

COVID-19 poses a global health crisis, necessitating precise diagnostic methods for timely containment. However, accurately delineating COVID-19-affected regions in lung CT scans is challenging due to contrast variations and significant texture diversity. In this regard, this study introduces a novel two-stage classification and segmentation CNN approach for COVID-19 lung radiological pattern analysis. A novel Residual-BRNet is developed to integrate boundary and regional operations with residual learning, capturing key COVID-19 radiological homogeneous regions, texture variations, and structural contrast patterns in the classification stage. Subsequently, infectious CT images undergo lesion segmentation using the newly proposed RESeg segmentation CNN in the second stage. The RESeg leverages both average and max-pooling implementations to simultaneously learn region homogeneity and boundary-related patterns. Furthermore, novel pixel attention (PA) blocks are integrated into RESeg to effectively address mildly COVID-19-infected regions. The evaluation of the proposed Residual-BRNet CNN in the classification stage demonstrates promising performance metrics, achieving an accuracy of 97.97%, F1-score of 98.01%, sensitivity of 98.42%, and MCC of 96.81%. Meanwhile, PA-RESeg in the segmentation phase achieves an optimal segmentation performance with an IoU score of 98.43% and a dice similarity score of 95.96% of the lesion region. The framework\'s effectiveness in detecting and segmenting COVID-19 lesions highlights its potential for clinical applications.

Psychrophilic bacteria, the dominant spoilage organisms in raw milk, secrete heat-stable extracellular proteases and lipases that lead to the decomposition of milk and dairy products. In this study, we investigated psychrophilic bacteria in 165 raw milk samples collected across four seasons and six regions in China using shotgun metagenomic sequencing and traditional culture methods. The isolated psychrophilic bacteria were classified into 40 genera and 185 species. Pseudomonas was the most prevalent, accounting for 51.13 % of the genera, while Lactococcus and Chryseobacterium were also notably abundant (> 6.0 %). Metagenomic sequencing revealed that Pseudomonas (47.9 %), Stenotrophomonas (9.75 %), Sphingomonas (6.73 %), Latilactobacillus (6.38 %) and Lactococcus (5.16 %) were the dominant genera in the raw milk samples. The diversity of psychrophilic bacteria in raw milk was strongly influenced by seasonal variations, with the sampling region being a less significant factor. KEGG annotation indicated that carbohydrate and amino acid metabolism were the primary metabolic pathways in these bacteria. Metagenomic sequencing not only accurately identifies species but also provides functional insights into psychrophilic bacteria in raw milk, aiding in understanding their activities, promoting their control on farms, and ultimately improving raw milk quality.

Some trace elements are essential for the health of vertebrates, but little is known about their function, the amounts required, and the factors influencing their metabolism in tortoises. The aim of this study was therefore to measure trace elements (chromium (Cr), cobalt (Co), copper (Cu), iron (Fe), magnesium (Mg), manganese (Mn), molybdenum (Mo), selenium (Se), zinc (Zn)) in heparinized blood plasma of Hermann\'s tortoises (Testudo hermanni) (n = 520) from March to September 2022 using inductively coupled plasma mass spectrometry (ICP-MS) and to establish specific reference intervals. Additionally, the influence of sex, season, and region of sample collection on the measured values were evaluated. Significant (p ≤ 0.05) sex-specific differences were found for Cu, Mg, and Mn; seasonal differences were found for Cr, Cu, Mn, Mo, and Se; and the region in which the tortoises were kept significantly impacted Cr, Cu, Fe, Mg, Mo, and Se levels. The results show that all of these factors should be consider when establishing and interpreting blood trace element levels in tortoises.

BACKGROUND: Postpartum hemorrhage (PPH) is a leading cause of maternal mortality, and hysterectomy is an important intervention for managing intractable PPH. Accurately predicting the need for hysterectomy and taking proactive emergency measures is crucial for reducing mortality rates.
OBJECTIVE: To develop a risk prediction model for PPH requiring hysterectomy in the ethnic minority regions of Qiandongnan, China, to help guide clinical decision-making.
METHODS: The study included 23490 patients, with 1050 having experienced PPH and 74 who underwent hysterectomies. The independent risk factors closely associated with the necessity for hysterectomy were analyzed to construct a risk prediction model, and its predictive efficacy was subsequently evaluated.
RESULTS: The proportion of hysterectomies among the included patients was 0.32% (74/23490), representing 7.05% (74/1050) of PPH cases. The number of deliveries, history of cesarean section, placenta previa, uterine atony, and placenta accreta were identified in this population as independent risk factors for requiring a hysterectomy. Receiver operating characteristic curve analysis of the prediction model showed an area under the curve of 0.953 (95% confidence interval: 0.928-0.978) with a sensitivity of 90.50% and a specificity of 90.70%.
CONCLUSIONS: The model demonstrates excellent predictive power and is effective in guiding clinical decisions regarding PPH in the ethnic minority regions of Qiandongnan, China.

To determine if decreasing lifetime use of methamphetamines, cocaine, ecstasy, and inhalants among high school students occurring from 2009 to 2019 in the U.S. also occurred in five southeastern states, Youth Risk Behavior Survey data representative of high school students in grades 9-12 in 2009 and 2019 were analyzed. In a classroom setting, lifetime use of methamphetamines, cocaine, ecstasy, and inhalants were self-reported. Students nationwide (n = 30,087) were compared to students in Alabama, Georgia, Louisiana, Mississippi, and South Carolina (n = 18,237). Lifetime methamphetamine use significantly increased from 4.8% in 2009 to 6.2% in 2019 in the southeast but decreased from 4.1 to 2.2% nationwide. Use of cocaine, ecstasy, and inhalants remained stable in the southeast while decreasing significantly nationwide from 2009 to 2019. During a period when use of methamphetamines, cocaine, ecstasy, and inhalants among high school students in the U.S. decreased, use in southeastern states did not change. Culturally specific programs and interventions may be needed to prevent illicit drug use in communities of southeastern states where youth remain at risk.

UNASSIGNED: Large differences exist in the risk of disability retirement between Finnish municipalities. This study examined whether individual-level and municipality-level characteristics explain these differences and which municipality-level characteristics are particularly important for the risk of disability retirement.
UNASSIGNED: Individual-level register data were supplemented with 10 municipality-level characteristics from various databases. A 20% sample of the Finnish population (N=626,391) was followed for transition to disability retirement from 2016 to 2019 using multilevel Weibull models.
UNASSIGNED: Of the total variation in the risk of disability retirement, 4.3% was attributed to the municipal-level and decreased to 1.8% when individual-level characteristics (gender, age, education level and entitlement to special reimbursement for medical expenses, reflecting morbidity) were controlled for. Further adjustment for municipality-level characteristics fully erased the differences between municipalities. The proportion of municipality-level variation was larger for disability retirement due to somatic illnesses than mental disorders. Of the municipality-level characteristics, socioeconomic structure, unemployment rate, poverty, net migration between municipalities, dependency ratio, the amount of tax revenue per capita and morbidity were associated with the risk of disability retirement.
UNASSIGNED: The municipality-level variation in the risk of disability retirement is largely explained by the individual characteristics of the inhabitants. However, various characteristics of the municipalities show associations with the risk of disability retirement. Recognizing such factors is essential for shaping policies that mitigate disability retirement risk.

BACKGROUND: Conflict leads to the displacement of people, making it more difficult for them to cope with increasing stress. In war-affected regions, people use different strategies to cope with their stress. This study examines the coping strategies of internally displaced persons (IDPs) and those in host communities in war zones.
METHODS: People living in the IDP camp and host communities in Maiduguri, Nigeria were recruited using a convenient sampling strategy. A 28-item Hausa version of the Brief COPE Scale wasused for data collection. Data were analyzed using linear regression and presented as unstandardized beta (B) and standard error (SE).
RESULTS: A total of 562 participants were recruited (IDPs, n = 281; and the host communities, n = 281). Problem- and emotion-focused coping strategies were identified as the most common approaches used in host communities; however, dysfunctional strategies were morecommon among the IDPs. Age (younger or older adulthood) was identified as a predictor forthe use of emotion-, problem-, and dysfunctional-focused coping strategies.
CONCLUSIONS: Host communities were more likely to use a problem-and emotion-focused approach to coping, while IDPs were more likely to use dysfunctional strategies. Location and demographic factors (being single, aged 18-29years, >50 years and older) also influenced coping.

UNASSIGNED: Our previous analysis showed how in-hospital mortality of intubated patients with COVID-19 in Greece is adversely affected by patient load and regional disparities.
UNASSIGNED: We aimed to update this analysis to include the large Delta and Omicron waves that affected Greece during 2021-2022, while also considering the effect of vaccination on in-hospital mortality.
UNASSIGNED: Anonymized surveillance data were analyzed from all patients with COVID-19 in Greece intubated between September 1, 2020, and April 4, 2022, and followed up until May 17, 2022. Time-split Poisson regression was used to estimate the hazard of dying as a function of fixed and time-varying covariates: the daily total count of intubated patients with COVID-19 in Greece, age, sex, COVID-19 vaccination status, region of the hospital (Attica, Thessaloniki, or rest of Greece), being in an intensive care unit, and an indicator for the period from September 1, 2021.
UNASSIGNED: A total of 14,011 intubated patients with COVID-19 were analyzed, of whom 10,466 (74.7%) died. Mortality was significantly higher with a load of 400-499 intubated patients, with an adjusted hazard ratio (HR) of 1.22 (95% CI 1.09-1.38), rising progressively up to 1.48 (95% CI 1.31-1.69) for a load of ≥800 patients. Hospitalization away from the Attica region was also independently associated with increased mortality (Thessaloniki: HR 1.22, 95% CI 1.13-1.32; rest of Greece: HR 1.64, 95% CI 1.54-1.75), as was hospitalization after September 1, 2021 (HR 1.21, 95% CI 1.09-1.36). COVID-19 vaccination did not affect the mortality of these already severely ill patients, the majority of whom (11,944/14,011, 85.2%) were unvaccinated.
UNASSIGNED: Our results confirm that in-hospital mortality of severely ill patients with COVID-19 is adversely affected by high patient load and regional disparities, and point to a further significant deterioration after September 1, 2021, especially away from Attica and Thessaloniki. This highlights the need for urgent strengthening of health care services in Greece, ensuring equitable and high-quality care for all.