Rift Valley Fever outbreaks in the East African Community: insights from ProMed data (2010-2024).

Background: Rift Valley Fever (RVF) is a mosquito-borne zoonotic disease that poses a serious threat to both humans and livestock across various regions, particularly in Africa, the Arabian Peninsula, and parts of the Indian Ocean Islands. This study seeks to analyze the spatial and temporal distribution and trends of RVF outbreaks within the East African Community (EAC) countries, offering insights into the patterns and progression of these outbreaks in the region.

Methods: We conducted a retrospective analysis of the Program for Monitoring Emerging Diseases (ProMed), a digital, event-based disease surveillance system, to identify reports of outbreak events in Uganda, Kenya, Rwanda, Burundi, Tanzania, and South Sudan from 2010 to 2024.

A Variational Network for Biomedical Images Denoising using Bayesian model and Auto-Encoder.

Auto-encoders have demonstrated outstanding performance in computer vision tasks such as biomedical imaging, including classification, segmentation, and denoising. Many of the current techniques for image denoising in biomedical applications involve training an autoencoder or convolutional neural network (CNN) using pairs of clean and noisy images. However, these approaches are not realistic because the autoencoder or CNN is trained on known noise and does not generalize well to new noisy distributions.

A benchmark for computational analysis of animal behavior, using animal-borne tags.

Background: Animal-borne sensors ('bio-loggers') can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. Machine learning techniques are used for interpreting the large amounts of data recorded by bio-loggers, but there exists no common framework for comparing the different machine learning techniques in this domain. This makes it difficult to, for example, identify patterns in what works well for machine learning-based analysis of bio-logger data.

Reducing under-five mortality in Tanzania: insights from a 60-years data analysis on economic and health indicators.

Background: Under-five mortality in Tanzania remains a persistent issue, significantly affecting both the health and economic sectors. Despite various interventions, the under-five mortality rate (U5MR) remains high, impeding progress toward global health targets. This study investigates the factors influencing under-five mortality in Tanzania, focusing on the gross domestic product (GDP), malaria incidence, access to water, and access to sanitation.

Mobile app review analysis for crowdsourcing of software requirements: a mapping study of automated and semi-automated tools.

Mobile app reviews are valuable for gaining user feedback on features, usability, and areas for improvement. Analyzing these reviews manually is difficult due to volume and structure, leading to the need for automated techniques. This mapping study categorizes existing approaches for automated and semi-automated tools by analyzing 180 primary studies.

On the Relationship Between the Gini Coefficient and Skewness.

Skewness, a measure of the asymmetry of a distribution, is frequently employed to reflect a biologically important property. Another statistic, the Gini coefficient (GC), originally used to measure economic inequality, has been validated in measuring the inequality of biological size distributions. Given that the GC and skewness control overlapping domains and interact with each other, researchers are perplexed by their relationship (varying with the biological [organ, tissue or cell] size distributions) and use both of them together to provide a more complete picture of the data.

Automatic identification of the endangered hawksbill sea turtle behavior using deep learning and cross-species transfer learning.

The accelerometer, an onboard sensor, enables remote monitoring of animal posture and movement, allowing researchers to deduce behaviors. Despite the automated analysis capabilities provided by deep learning, data scarcity remains a challenge in ecology. We explored transfer learning to classify behaviors from acceleration data of critically endangered hawksbill sea turtles (Eretmochelys imbricata).

Host and habitat shape ectoparasite diversity on and (Muridae).

and are commensal rodent species endemic to Africa. A recent taxonomic revision within leaves the parasite–host list of questionable and that of incomplete. The current study aimed to develop a better understanding of the ectoparasite diversity associated with the 2 distinct but closely related rodent species and to explore the influence of host and habitat type on ectoparasite infestations.

Model for efficient dynamical ranking in networks.

We present a physics-inspired method for inferring dynamic rankings in directed temporal networks-networks in which each directed and timestamped edge reflects the outcome and timing of a pairwise interaction. The inferred ranking of each node is real-valued and varies in time as each new edge, encoding an outcome like a win or loss, raises or lowers the node's estimated strength or prestige, as is often observed in real scenarios including sequences of games, tournaments, or interactions in animal hierarchies. Our method works by solving a linear system of equations and requires only one parameter to be tuned.

Cascading impacts of nitrogen deposition on soil microbiome and herbivore communities in desert steppes.

Human activities in the last century have intensified global nitrogen deposition, resulting in the degradation of ecosystem function and loss of biodiversity worldwide. Nitrogen addition is a crucial method for examining the effects of atmospheric nitrogen deposition on species composition and structure of soil microbiome and biotic community, as exogenous nitrogen inputs can trigger cascading effects on ecosystem functions. In a 6-year experiment, we evaluated the impact of nitrogen addition on soil microbial-plant-insect systems in desert steppes.

Persistent biological invasions alter ecological network topology, impacting disease transmission during community assembly.

Ecological networks experiencing persistent biological invasions may exhibit distinct topological properties, complicating the understanding of how network topology affects disease transmission during invasion-driven community assembly. We developed a trait-based network model to assess the impact of network topology on disease transmission, measured as community- and species-level disease prevalence. We found that trait-based feeding interactions between host species determine the frequency distribution of the niche of co-occurring species in steady-state communities, being either bimodal or multimodal.

Can the Kohn-Sham gap be larger than the fundamental gap?

It is often stated that the exact Kohn-Sham HOMO-LUMO gap underestimates the fundamental gap. Here, using the Hubbard dimer as a model Hamiltonian, we show numerically that the exact Kohn-Sham gap can be larger than the fundamental gap.

Real-time PCR assay to detect the novel Clade Ib monkeypox virus, September 2023 to May 2024.

Monkeypox virus (MPXV) is an emerging zoonotic pathogen with complex epidemiology necessitating rapid diagnosis and distinguishing between clades and subclades. The emerging Clade Ib lacks the genomic region used in the Clade I-specific assay from the Centers for Disease Control and Prevention. We report an MPXV real-time PCR to specifically detect Clade Ib.

Identifying prey capture events of a free-ranging marine predator using bio-logger data and deep learning.

Marine predators are integral to the functioning of marine ecosystems, and their consumption requirements should be integrated into ecosystem-based management policies. However, estimating prey consumption in diving marine predators requires innovative methods as predator-prey interactions are rarely observable. We developed a novel method, validated by animal-borne video, that uses tri-axial acceleration and depth data to quantify prey capture rates in chinstrap penguins ().

The structure and mechanics of the cell cortex depend on the location and adhesion state.

Cells exist in different phenotypes and can transition between them. A phenotype may be characterized by many different aspects. Here, we focus on the example of whether the cell is adhered or suspended and choose particular parameters related to the structure and mechanics of the actin cortex.

The response of sea turtles to vocalizations opens new perspectives to reduce their bycatch.

Incidental capture of non-target species poses a pervasive threat to many marine species, with sometimes devastating consequences for both fisheries and conservation efforts. Because of the well-known importance of vocalizations in cetaceans, acoustic deterrents have been extensively used for these species. In contrast, acoustic communication for sea turtles has been considered negligible, and this question has been largely unexplored.

Evaluation of the anatomical locations and sizes of uterine fibroids from ultrasound examination in Ghana.

Background: Uterine fibroids locations and sizes, have significant influences on the quality of life of women especially pregnant women and on live birth rate.

Objectives: To determine the anatomical locations and sizes of uterine fibroids and assess any possible associations with age groups.

Methods: This retrospective study reviewed the locations and sizes of a total of 3,542 patients who were ultrasonographically diagnosed with uterine fibroids from January 2019 to December 2021.

Perceived Competence of Teachers in the Implementation of Trauma-informed Practices for Students with Disabilities in Classrooms in the United Arab Emirates.

Trauma refers to an overwhelming experience that can leave lingering and negative memories in individuals. Although it is a precursor to challenging behaviours among students with disabilities, the ability of teachers to manage and support them in overcoming their post-trauma experiences is rarely discussed in the literature. This study aims to understand the perceived competence of teachers in adopting trauma-informed practices (TIP) for students with disabilities in regular classrooms in the United Arab Emirates (UAE).

Current and future scenarios of suitability and expansion of cassava brown streak disease, species complex, and cassava planting in Africa.

Cassava () is among the most important staple crops globally, with an imperative role in supporting the Sustainable Development Goal of 'Zero hunger'. In sub-Saharan Africa, it is cultivated mainly by millions of subsistence farmers who depend directly on it for their socio-economic welfare. However, its yield in some regions has been threatened by several diseases, especially the cassava brown streak disease (CBSD).

Evaluation of the ultrasound findings of thyroid gland enlargement in Cape Coast Teaching Hospital, Ghana: A retrospective cross-sectional study.

Background And Aim: Goiter is a major source of morbidity in the world, especially in the developing world, where dietary iodine deficiency, a known cause of this condition, is endemic. The diagnosis is mostly by ultrasonography (USG) scan, which can give anatomical, pathological, and functional information for the management of goiter. This study aimed to determine the commonest ultrasound findings of goiter in Ghana.

Modeling the shared risks of malaria and anemia in Rwanda.

In sub-Saharan Africa, malaria and anemia contribute substantially to the high burden of morbidity and mortality among under-five children. In Rwanda, both diseases have remained public health challenge over the years in spite of the numerous intervention programs and policies put in place. This study aimed at understanding the geographical variations between the joint and specific risks of both diseases in the country while quantifying the effects of some socio-demographic and climatic factors.