Human-centered design and maternity care: is this a possible interplay?-a systematic review.

This paper argues that putting women at the center of care requires the right balance between adequate clinical care and human-centered design (HCD) approaches. Enhancing their experience during the maternity journey would make it possible to address societal challenges and effectively achieve the humanization of maternity care. Thus, the aim is to investigate the interplay between human-centered design and maternity care through a literature review.

Cold-induced meiotic nondisjunction in .

Virgin females were kept at near-freezing temperatures for up to one week, whereupon they were mated. Daily collections of offspring showed evidence of spindle malfunction in meiosis, but not in earlier mitoses, despite our usage of a colder temperature (5.5˚C) than previous studies (10˚C).

Sex-specific transcriptome similarity networks elucidate comorbidity relationships.

Humans present sex-driven biological differences. Consequently, the prevalence of analyzing specific diseases and comorbidities differs between the sexes, directly impacting patients' management and treatment. Despite its relevance and the growing evidence of said differences across numerous diseases (with 4,370 PubMed results published within the past year), knowledge at the comorbidity level remains limited.

myAURA: a personalized health library for epilepsy management via knowledge graph sparsification and visualization.

Objectives: Report the development of the patient-centered myAURA application and suite of methods designed to aid epilepsy patients, caregivers, and clinicians in making decisions about self-management and care.

Materials And Methods: myAURA rests on an unprecedented collection of epilepsy-relevant heterogeneous data resources, such as biomedical databases, social media, and electronic health records (EHRs). We use a patient-centered biomedical dictionary to link the collected data in a multilayer knowledge graph (KG) computed with a generalizable, open-source methodology.

Off-pump versus on-pump coronary artery bypass grafting in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis.

Introduction: Off-pump coronary artery bypass graft surgery (OPCAB) has been suggested as superior to on-pump coronary artery bypass graft surgery (ONCAB) in certain high-risk subgroups, but its benefit in patients with chronic obstructive pulmonary disease (COPD) remains controversial. This meta-analysis aimed to evaluate OPCAB versus ONCAB outcomes in COPD patients.

Methods: We followed PRISMA guidelines and searched PubMed, Embase, and the Cochrane Library in August 2024 for studies comparing OPCAB and ONCAB in COPD patients.

Challenges and opportunities for digital twins in precision medicine from a complex systems perspective.

Digital twins (DTs) in precision medicine are increasingly viable, propelled by extensive data collection and advancements in artificial intelligence (AI), alongside traditional biomedical methodologies. We argue that including mechanistic simulations that produce behavior based on explicitly defined biological hypotheses and multiscale mechanisms is beneficial. It enables the exploration of diverse therapeutic strategies and supports dynamic clinical decision-making through insights from network science, quantitative biology, and digital medicine.

Babinski-Nageotte syndrome after vertebral artery dissection and foramen arcuale.

Vertebrobasilar ischaemia happens for a myriad of reasons. Among the rarest is the existence of a foramen arcuale (FA). This condition results from the ossification of the lateral edge of the posterior atlantooccipital membrane, closing, completely or partially, the top of this groove, turning it into a foramen or a channel.

The Effect of Noise on the Density Classification Task for Various Cellular Automata Rules.

Cellular automata (CA) are discrete dynamical systems with a prominent place in the history and study of artificial life. Here, we focus on the density classification task (DCT) in which a 1-dimensional lattice of Boolean (on/off) automata must perform a form of rudimentary quorum sensing. Typically, the ring lattice consists of 149 cells (though we consider other sizes as well) that update their state according to their own state and its six nearest neighbors in the previous time step.

Osteoblasts-derived exosomes as potential novel communicators in particle-induced periprosthetic osteolysis.

The inflammatory response to wear particles derived from hip prothesis is considered a hallmark of periprosthetic osteolysis, which can ultimately lead to the need for revision surgery. Exosomes (Exos) have been associated with various bone pathologies, and there is increasing recognition in the literature that they actively transport molecules throughout the body. The role of wear particles in osteoblast-derived Exos is unknown, and the potential contribution of Exos to osteoimmune communication and periprosthetic osteolysis niche is still in its infancy.

The ultrametric backbone is the union of all minimum spanning forests.

Minimum spanning trees and forests are powerful sparsification techniques that remove cycles from weighted graphs to minimize total edge weight while preserving node reachability, with applications in computer science, network science, and graph theory. Despite their utility and ubiquity, they have several limitations, including that they are only defined for undirected networks, they significantly alter dynamics on networks, and they do not generally preserve important network features such as shortest distances, shortest path distribution, and community structure. In contrast, distance backbones, which are subgraphs formed by all edges that obey a generalized triangle inequality, are well defined in directed and undirected graphs and preserve those and other important network features.

Prevalence and differences in the co-administration of drugs known to interact: an analysis of three distinct and large populations.

Background: The co-administration of drugs known to interact greatly impacts morbidity, mortality, and health economics. This study aims to examine the drug-drug interaction (DDI) phenomenon with a large-scale longitudinal analysis of age and gender differences found in drug administration data from three distinct healthcare systems.

Methods: This study analyzes drug administrations from population-wide electronic health records in Blumenau (Brazil; 133 K individuals), Catalonia (Spain; 5.

Models of Cell Processes are Far from the Edge of Chaos.

Complex living systems are thought to exist at the "edge of chaos" separating the ordered dynamics of robust function from the disordered dynamics of rapid environmental adaptation. Here, a deeper inspection of 72 experimentally supported discrete dynamical models of cell processes reveals previously unobserved order on long time scales, suggesting greater rigidity in these systems than was previously conjectured. We find that propagation of internal perturbations is transient in most cases, and that even when large perturbation cascades persist, their phenotypic effects are often minimal.

The secretome of macrophages has a differential impact on spinal cord injury recovery according to the polarization protocol.

Introduction: The inflammatory response after spinal cord injury (SCI) is an important contributor to secondary damage. Infiltrating macrophages can acquire a spectrum of activation states, however, the microenvironment at the SCI site favors macrophage polarization into a pro-inflammatory phenotype, which is one of the reasons why macrophage transplantation has failed.

Methods: In this study, we investigated the therapeutic potential of the macrophage secretome for SCI recovery.

Bursts of communication increase opinion diversity in the temporal Deffuant model.

Human interactions create social networks forming the backbone of societies. Individuals adjust their opinions by exchanging information through social interactions. Two recurrent questions are whether social structures promote opinion polarisation or consensus and whether polarisation can be avoided, particularly on social media.

Meningococcal Septic Oligoarthritis: An Unusual Presentation Revealing Concurrent Multiple Myeloma.

Meningococcal invasive disease is rare in immunocompetent hosts but may occur in patients with risk factors. Septic arthritis is an uncommon form of presentation and is usually due to surgical colonization or hematogenous dissemination. We present a case of a 73-year-old woman, who recently underwent knee replacement surgery, presenting with right knee and left shoulder pain, swelling, and reduced range of motion.

Exploring Suspected Diagnoses in Elderly Patients: A Case Study of Potential Necrotizing Otitis Externa.

Necrotizing otitis externa (NOE) is a rare invasive infection affecting the EAC and the base of the skull. This condition is more prevalent in the elderly, diabetics, and immunocompromised individuals, often attributed to the bacterium . In this case report, we present the clinical scenario of a 90-year-old woman with a history of diabetes and epilepsy.

A Case of Porto-Sinusoidal Vascular Disease.

Introduction: Porto-sinusoidal vascular syndrome is characterised by specific histological changes that do not include cirrhosis, with or without portal hypertension. Patients are usually asymptomatic until development of portal hypertension complications.

Case Description: A 69-year-old female with history of JAK2 positive essential thrombocythemia (ET) was referred to internal medicine consultation due to elevated liver enzymes.

The distance backbone of directed networks.

In weighted graphs the shortest path between two nodes is often reached through an indirect path, out of all possible connections, leading to structural redundancies which play key roles in the dynamics and evolution of complex networks. We have previously developed a parameter-free, algebraically-principled methodology to uncover such redundancy and reveal the distance backbone of weighted graphs, which has been shown to be important in transmission dynamics, inference of important paths, and quantifying the robustness of networks. However, the method was developed for undirected graphs.

Understanding Contexts and Challenges of Information Management for Epilepsy Care.

Epilepsy is a common chronic neurological disease. People with epilepsy (PWE) and their caregivers face several challenges related to their epilepsy management, including quality of care, care coordination, side effects, and stigma management. The sociotechnical issues of the information management contexts and challenges for epilepsy care may be mitigated through effective information management.

Comparison of 3D Sensors for Automating Bolt-Tightening Operations in the Automotive Industry.

Machine vision systems are widely used in assembly lines for providing sensing abilities to robots to allow them to handle dynamic environments. This paper presents a comparison of 3D sensors for evaluating which one is best suited for usage in a machine vision system for robotic fastening operations within an automotive assembly line. The perception system is necessary for taking into account the position uncertainty that arises from the vehicles being transported in an aerial conveyor.

Validation of a Questionnaire on Sexual and Reproductive Health Among Immigrant Vocational Education Students in Portugal from São Tomé and Príncipe.

Sexual and reproductive health interventions' effectiveness should be evaluated using a valid instrument. This study aimed to validate a questionnaire on sexual and reproductive health in adolescents and young adults from São Tomé and Príncipe who voluntarily enrolled in a vocational school in Portugal to complete their 12th school year and obtain a professional card.A questionnaire consisting of perception and knowledge sections was adapted from previous questionnaires.

Dynamical Modularity in Automata Models of Biochemical Networks.

Given the large size and complexity of most biochemical regulation and signaling networks, there is a non-trivial relationship between the micro-level logic of component interactions and the observed macro-dynamics. Here we address this issue by formalizing the concept of pathway modules developed by [1], which are sequences of state updates that are guaranteed to occur (barring outside interference) in the causal dynamics of automata networks after the perturbation of a subset of driver nodes. We present a novel algorithm to automatically extract pathway modules from networks and characterize the interactions that may take place between the modules.

Effective Connectivity and Bias Entropy Improve Prediction of Dynamical Regime in Automata Networks.

Biomolecular network dynamics are thought to operate near the critical boundary between ordered and disordered regimes, where large perturbations to a small set of elements neither die out nor spread on average. A biomolecular automaton (e.g.

Contact networks have small metric backbones that maintain community structure and are primary transmission subgraphs.

The structure of social networks strongly affects how different phenomena spread in human society, from the transmission of information to the propagation of contagious diseases. It is well-known that heterogeneous connectivity strongly favors spread, but a precise characterization of the redundancy present in social networks and its effect on the robustness of transmission is still lacking. This gap is addressed by the metric backbone, a weight- and connectivity-preserving subgraph that is sufficient to compute all shortest paths of weighted graphs.