Representative Regions Research Articles

Digital Resilience of the Bucharest Nine and Ukraine

This study examines the digital resilience of the Bucharest Nine, an Eastern European NATO alliance, and Ukraine amidst the challenges of digital transformation. It aims to identify factors influencing their ability to manage cyber threats, digital divides, and socio-economic disparities resulting from rapid digitalization. Using a mixed-methods approach, integrating quantitative analysis and qualitative insights, the research computes an index of digital resilience based on cybersecurity measures, digital infrastructure quality, and socio-economic impacts. Findings reveal varying resilience levels, with some countries demonstrating robust cyber defenses and advanced digital infrastructures, while others lag due to weaker capacities and socio-economic constraints. Comprehensive policy frameworks and inclusive digital strategies are emphasized as critical for enhancing resilience. However, the study’s focus on the Bucharest Nine and Ukraine may limit broader regional representation, and reliance on available data and potential biases in self-reported indices may affect comprehensiveness. Nonetheless, the insights can inform policymakers in developing targeted strategies to bolster digital resilience, emphasizing cybersecurity, bridging the digital divide, and promoting digital literacy and participation. This research contributes to understanding digital resilience by offering a comparative analysis of often overlooked geopolitical regions, combining various indicators to provide a holistic view of their digital landscapes.

Cohort Profile: Baseline Characteristics of Veterans from Improving Veteran Access to Integrated Management of Back Pain (AIM-Back) - an Embedded Pragmatic, Cluster Randomized Trial in the United States.

AIM-Back is an embedded pragmatic clinical trial (ePCT) with cluster randomization designed to increase access and compare the effectiveness of two different non-pharmacological care pathways for low back pain (LBP) delivered within the Veteran Administration Health Care System (VAHCS). This manuscript describes baseline characteristics of AIM-Back participants as well as the representativeness of those referred to the AIM-Back program by sex, age, race, and ethnicity, relative to Veterans with low back pain at participating clinics. To be eligible for AIM-Back, Veterans were referred to the randomized pathway at their clinic by trained primary care providers (Referral cohort). Veterans from the Referral cohort that participated in the study included: 1) an Electronic Health Record (EHR) sample of Veterans enrolled in the program (i.e., attended initial AIM-Back visit with no consent required) and a Survey sample of Veterans that were consented for further study. Descriptive statistics for age, race, ethnicity, sex, high-impact chronic pain (HICP), a comorbidity measure, post-traumatic stress diagnosis (PTSD) and opioid exposure were reported for the Referral cohort and by sample; mean baseline PROMIS pain interference, physical function and sleep disturbance scores were reported by sample. Additional measures of pain, mental health and social risk were reported on the Survey sample. Participation to prevalence ratios (PPRs) were calculated for sex, age, race, and ethnicity by clinic to describe representativeness of the Referral cohort. Across 17 randomized primary care clinics, the Referral cohort included 2767 unique Veterans with n=1817 in the EHR sample, n=996 in the Survey sample and n=799 of the EHR sample (44%) were also in the Survey sample. High rates of HICP were observed in the EHR and Survey samples (>59%). Mean scores (SD) based on self-reported PROMIS Pain Interference (63.2 (6.8), 63.1 (6.6)) and PROMIS Physical Function (37.1 (5.3), 38.1 (5.8)) indicated moderate impairment in the EHR sample and Survey sample respectively. Approximately 10% of the EHR sample had documented opioid use in the year leading up to the AIM-Back referral. At most clinics, older Veterans (>=65 years) were underrepresented in the Referral cohort compared to those with LBP visits at clinics (PPRs < 0.8). The AIM-Back trial will conduct analysis to examine the comparative effectiveness of the two care pathways and identify individual characteristics that may improve responses to each pathway. The trial is expected to complete 12-month follow-up data collection by December 2024, with subsequent analyses and publications providing insights into optimizing non-pharmacological care for Veterans with LBP. NCT04411420 ( clinicaltrials.gov ). Strengths: Embedded features (e.g., EHR documentation and clinical staff serving as interventionist) of the AIM-Back trial have potential to facilitate implementation of these care pathways more broadly in Veteran's Health Administration clinics and in health systems outside the Veteran's Health AdministrationParticipating clinics were in 10 states providing regional geographic representation across the study.Trial was delivered within an integrated health system optimal for consistent documentation templates and data extraction across the trial sites.Limitations: Due to clinical personnel's role in participant recruitment, sample biases may exist in those referred to the program and/or those who agreed to participate in additional surveysThese findings may not be generalizable to older aged Veterans due to our lower enrollment of those 65+.

Space-time shape optimization of rotating electric machines

This paper is devoted to the shape optimization of the internal structure of an electric motor, and more precisely of the arrangement of air and ferromagnetic material inside the rotor part with the aim to increase the torque of the machine. The governing physical problem is the time-dependent, nonlinear magneto-quasi-static version of Maxwell’s equations. This multiphase problem can be reformulated on a 2D section of the real cylindrical 3D configuration; however, due to the rotation of the machine, the geometry of the various material phases at play (the ferromagnetic material, the permanent magnets, air, etc.) undergoes a prescribed motion over the considered time period. This original setting raises a number of issues. From the theoretical viewpoint, we prove the well-posedness of this unusual nonlinear evolution problem featuring a moving geometry. We then calculate the shape derivative of a performance criterion depending on the shape of the ferromagnetic phase via the corresponding magneto-quasi-static potential. Our numerical framework to address this problem is based on a shape gradient algorithm. The nonlinear time periodic evolution problems for the magneto-quasi-static potential is solved in the time domain, with a Newton–Raphson method. The discretization features a space-time finite element method, applied on a precise, meshed representation of the space-time region of interest, which encloses a body-fitted representation of the various material phases of the motor at all the considered stages of the time period. After appraising the efficiency of our numerical framework on an academic problem, we present a quite realistic example of optimal design of the ferromagnetic phase of the rotor of an electric machine.

The UNSC at a Crossroad: Urgency and Necessity for Reform

Abstract: The UN Security Council plays a crucial role in maintaining global peace and security. However, the Syrian Civil War and data reveal that the abuse of the veto and the decline in the representativeness and legitimacy of the permanent members hinder its effectiveness. The international community needs to reconsider the powers and structure of the UN Security Council, including reforming the veto system, the permanent seats, and the distribution of powers within the Security Council and other United Nations bodies. Furthermore, this study proposes several reforms, such as limiting the scope of veto use, especially in cases of conflicts threatening international peace, and introducing regional representation to better reflect the geopolitical realities of the 21st century. Additionally, the International Court of Justice should be empowered to interpret the UN Charter, enhancing the role of the Secretariat, and granting the General Assembly greater oversight over the Security Councils actions. These reforms aim to increase the UN Security Councils legitimacy, fairness, and capacity to act decisively in maintaining peace and security, ensuring it remains an effective body in the evolving landscape of international relations.

Multitasking practice eliminates modality-based interference by separating task representations in sensory brain regions.

The debate on the neural basis of multitasking costs evolves around neural overlap between concurrently performed tasks. Recent evidence suggests that training-related reductions in representational overlap in fronto-parietal brain regions predict multitasking improvements. Cognitive theories assume that overlap of task representations may lead to unintended information exchange between tasks (i.e., crosstalk). Modality-based crosstalk was suggested as a source for multitasking costs in multisensory settings. Robust findings of increased costs for certain modality mappings may be explained by crosstalk between the stimulus modality in one task and sensory action consequences in the concurrently performed task. Whether modality-based crosstalk emerges from representational overlap in general fronto-parietal multitasking regions or modality-specific regions is not known yet. In this functional neuroimaging study, we investigate neural overlap during multitasking performance in humans, focusing on modality compatibility by employing multivariate pattern analysis and modality-specific practice interventions in three groups (total N = 54, 24 females). We observed significant differences between modality compatible and modality incompatible single-task representations, specifically in the auditory cortex but not in fronto-parietal regions. Notably, improved auditory decoding accuracy related to modality incompatible tasks was predictive of performance gains in the corresponding dual task along with complete elimination of modality-specific dual-task costs. This predictive relationship was evident only in the group practicing modality incompatible mappings, suggesting that specific practice on task sets with modality overlap influenced both neural representations and subsequent multitasking performance. This study contributes to the integration of cognitive theory and neuroscience and the role of task representations in dual-task interference.Significance Statement In a society dominated by multitasking, understanding its neurocognitive basis and plasticity is crucial for key aspects of everyday tasks. We investigate the neural mechanisms behind multitasking limitations, offering insights for targeted cognitive interventions. The study builds upon established theories of cognitive multitasking and imaging research, addressing the concept of modality-based crosstalk - the unintended exchange of modality-based information between tasks. Through functional brain imaging and pattern analysis, we examined how neural task representations contribute to performance costs in dual tasks with varying degrees of modality overlap. Notably, our findings demonstrate a practice-related decrease in neural overlap which is associated with substantial multitasking improvements, specifically in the auditory cortex, emphasizing the contribution of sensory regions to flexible multidimensional task representations.

Disk B‐spline on 𝕊2: A Skeleton‐based Region Representation on 2‐Sphere

AbstractDue to the widespread applications of 2‐dimensional spherical designs, there has been an increasing requirement of modeling on the 𝕊2 manifold in recent years. Due to the non‐Euclidean nature of the sphere, it has some challenges to find a method to represent 2D regions on 𝕊2 manifold. In this paper, a skeleton‐based representation method of regions on 𝕊2, disk B‐spline(DBSC) on 𝕊2 is proposed. Firstly, we give the definition and basic algorithms of DBSC on 𝕊2. Then we provide the calculation method of DBSC on 𝕊2, which includes calculating the boundary points, internal points and their corresponding derivatives. Based on that, we give some modeling methods of DBSC on 𝕊2, including approximation, deformation. In the end, some stunning application examples of DBSC on 𝕊2 are shown. This work lays a theoretical foundation for further applications of DBSC on 𝕊2.

Prevalence, Phenotypes, and Comorbidities of Polycystic Ovary Syndrome Among Indian Women

The prevalence of polycystic ovary syndrome (PCOS) varies across the globe. Indian studies on PCOS are limited by poor design, small sizes, regional representations, and varying methods. To estimate the nationwide prevalence of PCOS in India, examine the phenotypic spectrum, and assess the magnitude of comorbidities associated with PCOS. This cross-sectional study recruited 9824 women aged 18 to 40 years from November 1, 2018, to July 31, 2022, across 5 zones of the country. A prevalidated questionnaire dichotomized women into screen-positive and screen-negative groups. Relevant clinical, hormonal, and sonographic assessments categorized women as either women with criteria-based PCOS (ie, National Institutes of Health [NIH] 1990 criteria, Rotterdam 2003 criteria, or Androgen Excess and Polycystic Ovary Syndrome Society [AE-PCOS] criteria), women with partial phenotypes (hyperandrogenism, oligomenorrhea, or polycystic morphology labeled as pre-PCOS), or healthy women, in addition to quantitating various comorbidities. The prevalence and phenotypes of PCOS among women of reproductive age and the burden of comorbidities associated with PCOS. A total of 8993 women (mean [SD] age, 29.5 [6.2] years) were enrolled in this study; 196 women were already diagnosed with PCOS, 2251 were categorized as screen positive, and 6546 were categorized as screen negative. The mean (SD) age of screen-positive women (28.1 [6.4] years) was lower than that of screen-negative women (29.7 [6.1] years) (P < .001), and the mean (SD) age at menarche was higher in the former group (13.2 [1.3] vs 13.1 [1.2] years; P < .001). The national prevalence of PCOS was 7.2% (95% CI, 4.8%-10.8%) by NIH 1990 criteria, 19.6% (95% CI, 12.7%-29.2%) by Rotterdam 2003 criteria, and 13.6% (95% CI, 8.4%-21.6%) by AE-PCOS criteria. Overall, PCOS phenotypes C (501 [40.8%]) and D (301 [24.6%]) were the most common, and 492 women (pre-PCOS subgroup) had oligomenorrhea (n = 75), hyperandrogenism (n = 257), or polycystic ovarian morphology (n = 160) only. Among women with PCOS (n = 1224), obesity was present in 529 (43.2%), dyslipidemia in 1126 (91.9%), nonalcoholic fatty liver disease in 403 (32.9%), metabolic syndrome in 305 (24.9%), impaired glucose tolerance in 111 (9.1%), diabetes in 41 (3.3%), and hypertension in 101 (8.3%). The pre-PCOS subgroup (n = 492) displayed similar metabolic aberrations (dyslipidemia: 390 [79.3%]; metabolic syndrome: 78 [15.9%]; nonalcoholic fatty liver disease: 163 [33.1%]; impaired glucose tolerance: 62 [12.6%]; diabetes: 7 [1.4%]; and hypertension: 26 [5.3%]). In this cross-sectional study of reproductive-age women recruited across India, the prevalence of PCOS was high, with phenotype C being predominant. Most of these women had metabolic abnormalities. These findings are crucial for developing preventive and therapeutic strategies, potentially integrating PCOS management into national health programs.

Long-term Outcomes and Risk Modifiers of MASLD Between Lean and Non-Lean Populations.

One-third of adults across the globe exhibit metabolic dysfunction-associated steatotic liver disease (MASLD) - formerly known as nonalcoholic fatty liver disease (NAFLD). To date, MASLD is the fastest-growing etiology of chronic liver disease and hepatocellular carcinoma (HCC). Besides the population with obesity, MASLD can also be found in lean populations, accounting for 13% of the global population, especially Asians. Notably, individuals with lean MASLD face equal or higher overall mortality rates compared to their non-lean counterparts. Risk modifiers encompass advanced age, hepatic fibrosis, and type 2 diabetes mellitus (T2DM). Moreover, the population with lean MASLD is associated with an increased risk of HCC, while their non-lean counterparts are more prone to cardiovascular outcomes and T2DM. Existing evidence indicates a similar risk of liver-related events and extrahepatic cancer between the two groups. However, MASLD-related genetic variants, such as PNPLA3 and TM6SF2, did not significantly affect mortality between the two populations. Still, underreporting alcohol consumption and regional representation limits the study's comprehensiveness. Longitudinal studies and mechanistic explorations are needed to understand differences in lean versus non-lean MASLD populations. This review highlights the need for awareness and tailored interventions in managing MASLD, considering lean individuals' unique risks.

An interface tracking method with triangle edge cuts

This paper introduces a volume-conserving interface tracking algorithm on unstructured triangle meshes. We propose to discretize the interface via triangle edge cuts which represent the intersections between the interface and the triangle mesh edges using a compact 6 numbers per triangle. This enables an efficient implicit representation of the sub-triangle polygonal material regions without explicitly storing connectivity information. Moreover, we propose an efficient advection algorithm for this interface representation that is based on geometric queries and does not require an optimization process. This advection algorithm is extended via an area correction step that enforces volume-conservation of the materials. We demonstrate the efficacy of our method on a variety of advection problems on a triangle mesh and compare its performance to existing interface tracking methods including VOF and MOF.

‘Grand designs?’ Investigating the cultural and spatial logics of Channel 4’s media hub workspaces in Leeds, Bristol and Glasgow

This article explores the evolving spatiality of media production through an analysis of recent developments in UK broadcaster Channel 4’s move to a multi-site operating model. Historically, media buildings have served as landmarks of power and influence, embodying the aspirations and identities of media organisations and, as such, offer a fruitful lens for the specific exploration of the spaces of contemporary media production. Through a detailed analysis of Channel 4’s decision-making process, site selections and the significance of the chosen buildings within areas with an urban regeneration focus, the study investigates the complex interplay between media industry dynamics, regional development policies, and wider political and economic forces. Drawing on a range of academic literature and evidence from media, industry and policy reporting, the article highlights the strategic motivations behind Channel 4’s decentralisation efforts, positioned by the organisation as an effort to address diversity in terms of nations and regions representation but significantly shaped by political factors. However, it also raises critical questions about the long-term sustainability, economic viability and cultural impact of these relocation decisions. The article discusses how Channel 4’s regional media spaces and decentralisation reflect the impermanence and crisis facing Public Service Media, emphasising the shifting power dynamics within the media landscape and the need for adaptive strategies in an increasingly volatile industry environment. By examining the evolving investment in media buildings, this research contributes to a growing body of research seeking to understand the complex dynamics shaping contemporary media landscapes and urban environments.

Complementarity and sensitivity of benthic state indicators to bottom-trawl fishing disturbance.

Many indicators have been developed to assess the state of benthic communities and identify seabed habitats most at risk from bottom trawling disturbance. However, the large variety of indicators and their development and application under specific geographic areas and management contexts has made it difficult to evaluate their wider utility. We compared the complementarity/uniqueness, sensitivity, and selectivity of 18 benthic indicators to pressure of bottom trawling. Seventeen common datasets with broad regional representation covering a range of pressure gradients from bottom trawling disturbance (n = 14), eutrophication (n = 1), marine pollution (n = 1), and oxygen depletion (n = 1) were used for the comparison. The outcomes of most indicators were correlated to a certain extent with response to bottom trawling disturbance, and two complementary groups of indicators were identified: diversity-based and biological trait-based indicators. Trait-based indicators that quantify the changes in relative abundance of sensitive taxa were most effective in identifying benthic community change in response to bottom trawling disturbance. None of the indicators responded to the trawling pressure gradient in all datasets, and some showed a response that were opposed to the theoretical expectation for some gradients. Indicators that showed clear responses to bottom trawling disturbance also showed clear responses in at least one other pressure gradient, suggesting those indicators are not pressure specific. These results emphasize the importance of selecting several indicators, at least one from each group (diversity and trait-based), to capture the broader signals of change in benthic communities due to bottom trawling activities. Our systematic approach offers the basis from which scientific advisors and/or managers can select suitable combinations of indicators to arrive at a sensitive and comprehensive benthic status assessment.

The goat pan-genome reveals patterns of gene loss during domestication

BackgroundUnveiling genetic diversity features and understanding the genetic mechanisms of diverse goat phenotypes are pivotal in facilitating the preservation and utilization of these genetic resources. However, the total genetic diversity within a species can’t be captured by the reference genome of a single individual. The pan-genome is a collection of all the DNA sequences that occur in a species, and it is expected to capture the total genomic diversity of the specific species.ResultsWe constructed a goat pan-genome using map-to-pan assemble based on 813 individuals, including 723 domestic goats and 90 samples from their wild relatives, which presented a broad regional and global representation. In total, 146 Mb sequences and 974 genes were identified as absent from the reference genome (ARS1.2; GCF_001704415.2). We identified 3,190 novel single nucleotide polymorphisms (SNPs) using the pan-genome analysis. These novel SNPs could properly reveal the population structure of domestic goats and their wild relatives. Presence/absence variation (PAV) analysis revealed gene loss and intense negative selection during domestication and improvement.ConclusionsOur research highlights the importance of the goat pan-genome in capturing the missing genetic variations. It reveals the changes in genomic architecture during goat domestication and improvement, such as gene loss. This improves our understanding of the evolutionary and breeding history of goats.

The Landscape of Cutaneous T-Cell Lymphoma (CTCL) in the Middle East and North Africa (MENA) and the Establishment of the MENA CTCL Working Group

The high cancer burden in the Middle East and North Africa (MENA region) is coupled with an increasing cancer incidence. While the MENA region constitutes 6% of the world’s population, it remains underrepresented in clinical trials. Cutaneous T-cell lymphomas (CTCLs) represent a heterogeneous group of rare extranodal non-Hodgkin lymphomas with variable clinical presentation. In the MENA region, where darker skin colors are more common than in the West, CTCL generally presents at a younger age and with distinct clinical features that necessitate special expertise and management across disciplines: rare forms of CTCL are more common (hypo- and hyperpigmented MF) and a higher prevalence of pediatric MF is noticed. The multidisciplinary approach to cancer management is growing worldwide and is necessary for the comprehensive management of CTCL. The MENA CTCL group was established with the aim of creating a collaborative environment for the diagnosis and treatment of CTCL in the region. Its first meeting was held in May 2023. The group plans to increase the global representation of the MENA region and establish CTCL registries and patient advocacy groups in the region.

Mountain Jewish Community of Kabardino-Balkaria from 1944 to 1965

This article addresses the issue of state-religious relations through the lens of the registered religious community of Mountain Jews in the city of Nalchik, Kabardino-Balkaria. The selected period from 1944 to 1965 encompasses the operations of the Council for Religious Affairs and its regional representation. The aim of this study is to identify state policies regarding the Mountain Jewish believers based on archival documents and thematic analysis. The research reveals that from the early 1950s, bureaucratic pressure on the religious community intensified within a multi-tiered system of control. Protocols, cash receipts, and reports obtained from the Mountain Jewish community served as an informational basis for the regional representative of the Council for Religious Affairs when preparing documents for the central authority. The closure of the synagogue, restrictions on cooperation in preparing believers for holidays, and various bureaucratic maneuvers did not yield the desired results for the authorities. Despite the official closure of the synagogue in 1951, religious holidays resonated widely among believers beyond the registered group and official mandates. In the context of financial flows and material concerns, Mountain Jewish believers found ways to circumvent the constraints imposed by the state.

Environmental DNA metabarcoding in the Cape Fold aquatic ecoregion: Opportunities and challenges for eDNA uptake in an endemism hotspot

Abstract Environmental DNA (eDNA) metabarcoding has the potential to significantly improve surveys of biodiversity in freshwater systems. However, this methodology is still infrequently used in global hotspots of endemic species, in part because of two major barriers to the success of eDNA metabarcoding: (1) insufficient regional taxonomic representation in public reference sequence databases; and (2) inconsistent species incidence and abundance estimates when compared to conventional surveys. We sampled eDNA and conducted visual surveys in the headwaters of two rivers in the Cape Fold aquatic ecoregion, South Africa. A reference sequence database was generated for the regional diversity of fishes to improve taxonomic classification of endemic species. We also compared the consistency of incidence data and relative abundance estimates of fishes from eDNA metabarcoding sequencing results and visual surveys (snorkel and underwater cameras) at each site sampled. Only 1% of eDNA metabarcoding reads could be classified to fish species without the supplementation of reference sequence databases for local endemic species. Once regional reference sequences were added, a total of nine species were detected and &gt;99% reads classified. A strong positive relationship (Φ = 0.75) was observed between the patterns of detections using eDNA and visual approaches. However, eDNA metabarcoding detected more species than visual methods. In addition, the relative read frequency and abundance observed in visual surveys was significantly correlated (R2 = 0.85–0.88, p &lt; 0.001) in the majority of the small pools surveyed. Incomplete public reference sequence databases hinder the use of eDNA metabarcoding in regions of high endemicity. Local reference sequence libraries can overcome these challenges. When appropriately implemented, eDNA metabarcoding shows promise, producing results consistent or better than the more frequently used and labour‐intensive visual surveys. Efficient survey methods like eDNA metabarcoding are urgently needed to improve aquatic monitoring efforts globally. Understanding how eDNA metabarcoding sequencing results relate to conventional survey methods is a key step in its implementation in ecoregions with high endemicity.

The Hippocampus Represents Information about Movements in Their Temporal Position in a Learned Motor Sequence.

Our repertoire of motor skills is filled with sequential movements that need to be performed in a specific order. Here, we used functional magnetic resonance imaging to investigate whether the human hippocampus, a region known to support temporal order in non-motor memory, represents information about the order of sequential motor actions in human participants (both sexes). We also examined such representations in other regions of the motor network (i.e., the premotor cortex, supplementary motor area, anterior superior parietal lobule, and striatum) already known for their critical role in motor sequence learning. Results showed that the hippocampus represents information about movements in their learned temporal position in the sequence, but not about movements or temporal positions in random movement patterns. Other regions of the motor network coded for movements in their learned temporal position, as well as movements and positions in random movement patterns. Importantly, movement coding contributed to sequence learning patterns in primary, supplementary, and premotor cortices but not in striatal and parietal regions. Our findings deepen our understanding of how striatal and cortical regions contribute to motor sequence learning and point to the capacity of the hippocampus to represent movements in their temporal context, an ability possibly explaining its contribution to motor learning.

Ventral tegmental area dopamine neural activity switches simultaneously with rule representations in the prefrontal cortex and hippocampus.

This study examines neural activity in mammalian brain networks that support the ability to respond flexibly to changing contexts. We use a rule-switching spatial task to examine whether the key reward-responsive and predictive dopamine (DA) activity changes in coordination with changes in rule representations in key cognitive regions, the prefrontal cortex (PFC) and hippocampus. We first established distinct rule representations in PFC and hippocampus, and predictive coding of reward outcomes by DA neuronal activity. We show that the rule-specific DA reward prediction after a rule switch develops in temporal coordination with changes in rule representations especially in PFC, eventually leading to behavioral changes. These results thus provide an integrated understanding of reward prediction, cognitive representations of rules and behavioral adaptation.

The digital divide research in sub-Saharan education: Representations, localisation of elements, and theoretical implications

Research on the digital divide in sub-Saharan education needs an overview of its conceptual developments and practices since the studies in the field of the digital divide emerged and were established around the mid-1990s. The present systematic literature review fills such a gap by using mixed methods to analyse three aspects of research on the theme and context. Considering a sample of 54 studies, the selected aspects to analyse were key representations (of regions, areas of education, and focused groups), general elements to influence the exclusion of digital education, and adopted research designs. Results led discussions concerning significant imbalanced representations of subjects, localisation of characteristics of the elements across regions, and hidden spots and limitations of research impact, potentially motivated by theory-ladenness. The present study intends to contribute to the development of digital divide studies contextualising sub-Saharan regions with comments based on thorough examinations of attainments and failures of previous endeavours, contributing to more successful future research as a consequence.

Understanding practices and support needs of family caregivers of people with dementia in Africa: a scoping review

Caregiving for people with dementia is a growing challenge, particularly in low- and middle-income countries, where 60 per cent of people with dementia globally reside. Yet the experiences and needs of caregivers supporting this population in African regions have not received adequate policy and practice attention. As a first step toward addressing this issue, we aimed to describe key challenges and solutions, and attend to knowledge gaps related to the needs and experiences of caregivers of persons with dementia across Africa. Informed by Arskey and O’Malley’s five-stage framework, we conducted a scoping review of empirical literatures, without year restriction. We included studies focusing on family caregivers supporting people with dementia in Africa. We reviewed five databases and screened titles and abstracts using Rayyan before extracting full texts. Our initial search yielded 3,982 articles, of which 29 met the inclusion criteria. Most of the selected dementia caregiving studies were conducted in South Africa, did not attend to the diverse ethnic beliefs and practices of the region in question and drew their samples from hospitals. While many studies explored caregiver support types, only a few focused on local support systems, like traditional and spiritual healing centres. Some studies addressed stigma and positive aspects of caregiving, offering insights for policy and practice. Future research should broaden regional and ethnic representation, investigate various support networks, such as community elders and healing centres, and examine the impact of local beliefs on stigma and caregiving positivity.

Methods for evaluating unsupervised vector representations of genomic regions.

Representation learning models have become a mainstay of modern genomics. These models are trained to yield vector representations, or embeddings, of various biological entities, such as cells, genes, individuals, or genomic regions. Recent applications of unsupervised embedding approaches have been shown to learn relationships among genomic regions that define functional elements in a genome. Unsupervised representation learning of genomic regions is free of the supervision from curated metadata and can condense rich biological knowledge from publicly available data to region embeddings. However, there exists no method for evaluating the quality of these embeddings in the absence of metadata, making it difficult to assess the reliability of analyses based on the embeddings, and to tune model training to yield optimal results. To bridge this gap, we propose four evaluation metrics: the cluster tendency score (CTS), the reconstruction score (RCS), the genome distance scaling score (GDSS), and the neighborhood preserving score (NPS). The CTS and RCS statistically quantify how well region embeddings can be clustered and how well the embeddings preserve information in training data. The GDSS and NPS exploit the biological tendency of regions close in genomic space to have similar biological functions; they measure how much such information is captured by individual region embeddings in a set. We demonstrate the utility of these statistical and biological scores for evaluating unsupervised genomic region embeddings and provide guidelines for learning reliable embeddings.