Rapid, Tailored Dietary and Health Education Through A Social Media Chatbot Microintervention: Development and Usability Study With Practical Recommendations.

Background: There is an urgent need to innovate methods of health education, which can often be resource- and time-intensive. Microinterventions have shown promise as a platform for rapid, tailored resource dissemination yet have been underexplored as a method of standardized health or dietary education; social media chatbots display unique potential as a modality for accessible, efficient, and affordable educational microinterventions.

Objective: This study aims to provide public health professionals with practical recommendations on the use of social media chatbots for health education by (1) documenting the development of a novel social media chatbot intervention aimed at improving dietary attitudes and self-efficacy among South Asian American young adults and (2) describing the applied experiences of implementing the chatbot, along with user experience and engagement data.

DataDesc: A framework for creating and sharing technical metadata for research software interfaces.

The reuse of research software is central to research efficiency and academic exchange. The application of software enables researchers to reproduce, validate, and expand upon study findings. The analysis of open-source code aids in the comprehension, comparison, and integration of approaches.

What Do We Know About the Validity and Reliability of Mindfulness Self-Report Measures in Persons with Dementia? A Critical Narrative Review.

Objectives: Mindfulness-based interventions (MBIs) for persons with dementia (PwD) have yielded mixed results, possibly attributable to the fact that little is known about the validity and reliability of trait mindfulness self-report measures in PwD. This narrative review sought to identify studies involving self-reported trait mindfulness and other clinical measures that may hold information on the convergent validity and reliability of these measures in PwD.

Methods: Scientific databases were searched for studies involving PwD and mindfulness assessments.

[Knee pain in primary care medicine : diagnostic and therapeutic approach].

Knee pain is one of the most common musculoskeletal complaints in primary care medicine. The leading causes of knee pain are osteoarthritis and musculoskeletal disorders. A careful history and a rigorous clinical examination usually enable a diagnosis to be made without the need for further investigations.

Participants in a peer-based nutrition and health program in Zimbabwe value dialogue, peer support, and tangible action: A qualitative exploration of peer group experiences.

Peer support groups are implemented globally, and viewed as cost-effective, scalable platforms for delivering health and nutrition programming. Quality is important for participation and achieving social and behavior change goals. Little research has explored the perspectives of peer group participants on quality.

Bridging basic science and applied diagnostics: Comprehensive viral diagnostics enabled by graphene-based electronic biosensor technology advancements.

This study presents a graphene field-effect transistor (gFET) biosensor with dual detection capabilities for SARS-CoV-2: one RNA detection assay to confirm viral positivity and the other for nucleocapsid (N-)protein detection as a proxy for infectiousness of the patient. This technology can be rapidly adapted to emerging infectious diseases, making an essential tool to contain future pandemics. To detect viral RNA, the highly conserved E-gene of the virus was targeted, allowing for the determination of SARS-CoV-2 presence or absence using nasopharyngeal swab samples.

Reflexivity and positionality applied to medical practice: a study on implicit gender bias with medical students in a Swiss university.

Background: An array of evidence shows how the presence of implicit bias in clinical encounters can negatively impact provider-patient communication, quality of care and ultimately contribute to health inequities. Reflexive practice has been explored as an approach to identify and address implicit bias in healthcare providers, including medical students. At the Lausanne School of Medicine, a clinically integrated module was introduced in 2019 to raise students' awareness of gender bias in medical practice using a reflexivity and positionality approach.

Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing.

Due to the growing number of scholarly publications, finding relevant articles becomes increasingly difficult. Scholarly knowledge graphs can be used to organize the scholarly knowledge presented within those publications and represent them in machine-readable formats. Natural language processing (NLP) provides scalable methods to automatically extract knowledge from articles and populate scholarly knowledge graphs.

Using markerless motion capture and musculoskeletal models: An evaluation of joint kinematics.

Background: This study presents a comprehensive comparison between a marker-based motion capture system (MMC) and a video-based motion capture system (VMC) in the context of kinematic analysis using musculoskeletal models.

Objective: Focusing on joint angles, the study aimed to evaluate the accuracy of VMC as a viable alternative for biomechanical research.

Methods: Eighteen healthy subjects performed isolated movements with 17 joint degrees of freedom, and their kinematic data were collected using both an MMC and a VMC setup.

The fungus Acremonium alternatum enhances salt stress tolerance by regulating host redox homeostasis and phytohormone signaling.

While endophytic fungi offer promising avenues for bolstering plant resilience against abiotic stressors, the molecular mechanisms behind this biofortification remain largely unknown. This study employed a multifaceted approach, combining plant physiology, proteomic, metabolomic, and targeted hormonal analyses to illuminate the early response of Brassica napus to Acremonium alternatum during the nascent stages of their interaction. Notably, under optimal growth conditions, the initial reaction to fungus was relatively subtle, with no visible alterations in plant phenotype and only minor impacts on the proteome and metabolome.

Cost-Effectiveness of Prevention for People at Risk for Dementia: A Scoping Review and Qualitative Synthesis.

Dementia is from an economic perspective a main challenge for economies worldwide because of increasing costs. Since there is no cure in sight, prevention seems the most promising approach for reducing health care cost due to Dementia. On the contrary, approximately 40% of dementias is attributable to modifiable risk factors and first studies showed that multidomain interventions may be effective for preventing dementia.

A Multi-Stage Dyadic Qualitative Analysis to Disentangle How Dietary Behaviors of Asian American Young Adults are Influenced by Family.

The dietary behaviors of Asian American (AA) young adults, who face a growing non-communicable disease burden, are impacted by complex socio-ecological forces. Family plays a crucial role in the lifestyle behaviors of AA young adults; however, little is known on the methods, contributors, and impact of familial dietary influence. This study aims to deconstruct the mechanisms of AA young adult familial dietary influence through a multi-perspective qualitative assessment.

Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph.

Multiple studies have investigated bibliometric features and uncategorized scholarly documents for the influential scholarly document prediction task. In this paper, we describe our work that attempts to go beyond bibliometric metadata to predict influential scholarly documents. Furthermore, this work also examines the influential scholarly document prediction task over categorized scholarly documents.

Comparison of different techniques for prehospital cervical spine immobilization: Biomechanical measurements with a wireless motion capture system.

Background: Various rescue techniques are used for the prehospital transport of trauma patients. This study compares different techniques in terms of immobilization of the cervical spine and the rescue time.

Methods: A wireless motion capture system (Xsens Technologies, Enschede, The Netherlands) was used to record motion in three-dimensional space and the rescue time in a standardized environment.

Eleven strategies for making reproducible research and open science training the norm at research institutions.

Reproducible research and open science practices have the potential to accelerate scientific progress by allowing others to reuse research outputs, and by promoting rigorous research that is more likely to yield trustworthy results. However, these practices are uncommon in many fields, so there is a clear need for training that helps and encourages researchers to integrate reproducible research and open science practices into their daily work. Here, we outline eleven strategies for making training in these practices the norm at research institutions.

[MedEscapeRoom: an innovative learning method at Unisanté. A course offered as part of pre-graduate medical training].

Teaching methods in the health sciences are evolving with societal changes and the needs of new generations. Gamification in the field of medical education is a fast-growing theme. The use of games in medical training activities engages participants in problem-solving by amplifying their emotional experience and promotes adult learning.

[Combined influence of psychological and biomechanical factors in muscular loads in soccer : A new approach for the prevention of muscle injuries].

When mental stress and musculoskeletal loading interact, the risk for injury increases due to altered body kinematics and increased muscle tension. These changes can be detected with musculoskeletal models, and mental loading and stress must be analyzed at emotional, cognitive, and behavioral levels. To investigate these kinematic and loading changes under stress, competitive athletes were subjected to mental stress during highly dynamic movements, and musculoskeletal models were used to analyze the biomechanical loading.

'We know what he likes, even if he doesn't know': how the children of South Asian immigrants characterize and influence the diets of their parents.

Foreign-born (first-generation) South Asians face a growing diet-related chronic disease burden. Little is known about whether the adult US-born (second-generation) children of South Asian immigrants can provide unique insights as changemakers in their parents' dietary behaviors. This study aims to assess how second-generation South Asians describe and influence the dietary behaviors of their parents.

The SciQA Scientific Question Answering Benchmark for Scholarly Knowledge.

Knowledge graphs have gained increasing popularity in the last decade in science and technology. However, knowledge graphs are currently relatively simple to moderate semantic structures that are mainly a collection of factual statements. Question answering (QA) benchmarks and systems were so far mainly geared towards encyclopedic knowledge graphs such as DBpedia and Wikidata.

Cold thermopeaking-induced drift of nase larvae.

Unlabelled: Research on how intermittent water releases from hydropower plants affect the early life stages of fish has advanced in the last years, focusing not only on the direct impacts of rapid flow changes (hydropeaking), but also on the short-term fluctuations in water temperature (thermopeaking). Flow and thermal fluctuations caused by hydropeaking may affect fish movement patterns and migration at critical stages of a species' life cycle, e.g.

Predicting drug shortages using pharmacy data and machine learning.

Drug shortages are a global and complex issue having negative impacts on patients, pharmacists, and the broader health care system. Using sales data from 22 Canadian pharmacies and historical drug shortage data, we built machine learning models predicting shortages for the majority of the drugs in the most-dispensed interchangeable groups in Canada. When breaking drug shortages into four classes (none, low, medium, high), we were able to correctly predict the shortage class with 69% accuracy and a kappa value of 0.