The present and future of peer review: Ideas, interventions, and evidence.

What is wrong with the peer review system? Is peer review sustainable? Useful? What other models exist? These are central yet contentious questions in today's academic discourse. This perspective critically discusses alternative models and revisions to the peer review system. The authors highlight possible changes to the peer review system, with the goal of fostering further dialog among the main stakeholders, including producers and consumers of scientific research.

Characterizing Telehealth Barriers and Preferences to Promote Acceptable Implementation Strategies in Central Uganda: Multilevel Formative Evaluation.

Background: Telehealth approaches can address health care access barriers and improve care delivery in resource-limited settings around the globe. Yet, telehealth adoption in Africa has been limited, due in part to an insufficient understanding of effective strategies for implementation.

Objective: This study aimed to conduct a multi-level formative evaluation identifying barriers and facilitators for implementing telehealth among health service providers and patients in Central Uganda.

A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain-Computer Interfaces to Enhance Motor Imagery Classification.

Enhancing motor disability assessment and its imagery classification is a significant concern in contemporary medical practice, necessitating reliable solutions to improve patient outcomes. One promising avenue is the use of brain-computer interfaces (BCIs), which establish a direct communication pathway between users and machines. This technology holds the potential to revolutionize human-machine interaction, especially for individuals diagnosed with motor disabilities.

Postdigital Bystanding: Youth Experiences of Sexual Violence Workshops in Schools in England, Ireland, and Canada.

In this paper, we report on creative- and arts-based sexual violence and bystander intervention workshops we developed and researched in England, Ireland, and Canada, through evaluation surveys, observations, and focus group interviews with nearly 1200 young people (aged 13-18). Whist the young people generally reported benefitting from the intervention, in the context of increasing use of digital technologies amongst youth, we explore the context-specific challenges they faced in learning about and being supported through bystander strategies across a wide range of diverse school spaces. We use the term postdigital bystanding to explicitly explore how teen's digital networks are often connected to the school-based 'real life' peer group, in ways that complicate clear distinctions between online and offline, arguing that these postdigital dynamics have not yet been adequately considered in bystanding interventions.

From Acceptance to Dependence: Exploring Influences of Smart Healthcare on Continuous Use Intention of Mobile Health Services Among Older Adults with Chronic Illnesses in China.

With the acceleration of the aging process in China, chronic diseases have become one of the main health threats for older adults, creating significant pressure on society and the healthcare system. As information technology and artificial intelligence advance rapidly, smart health services have become readily accessible. However, utilization rates among the older adults, especially those with chronic illnesses, remain low, preventing them from fully benefiting from these advanced technologies.

CERVIXNET: An Efficient Approach for the Detection and Classifications of the Cervigram Images Using Modified Deep Learning Architecture.

Introduction: The earlier detection of cervical cancer in women patients can save human life. This article proposes a novel methodology for detecting abnormal cervigram images from healthy cervigram images and segments the cancer regions in the abnormal cervigram images using the deep learning method. The conventional deep learning architecture has been modified into the proposed CervixNet architecture to improve the cervical cancer detection rate.

Economic Evaluations of Music Therapy and Other Music-Based Interventions: A Scoping Review.

The cost-effectiveness of an intervention is an important factor in health care decisions about which health care services should be publicly funded and/or approved as an eligible intervention for private insurance coverage. Music therapy as a health profession lacks substantial research on the cost-effectiveness of its services and there is no overview of existing data. We therefore conducted a scoping review.

Integrating circular economy policies in urban policy making: Strategies for green energy and environmental management to reinforce city image in China.

The implementation of circular economy (CE) policies in the management of urban policies have become essential for improving overall quality of life, development of green energy, and environmental management hence improving the image of cities. This research focuses on uncovering the core concepts of CE within urban environments, emphasizing actions that can improve green energy and environmental management. The CE aims to create a closed-loop system by prioritizing practices like remanufacturing, reusing, and recycling, which collectively help decrease resource usage and limit environmental damage.

Retraction Note: Application of big data classification effects based on neural network in video English course and relevant optimization suggestions.

[This retracts the article DOI: 10.1007/s00500-023-08123-x.].

Prescriptions (Rx) for Prevention: Clinical Tools for Integrating Environmental Health into Pediatric Clinical Care.

The integration of environmental health (EH) into routine clinical care for children is in its early stages. The vision of pediatric EH is that all clinicians caring for children are aware of and able to help connect families to needed resources to reduce harmful environmental exposures and increase health-enhancing ones. Environmental exposures include air pollution, substandard housing, lead, mercury, pesticides, consumer products chemicals, drinking water contaminants, industrial facility emissions and, increasingly, climate change-related extreme weather and heat events.

Design of the (FRESH) study: leveraging systems science to work with independently-owned restaurants to increase access to and promotion of healthful foods.

Background: High dietary quality can protect against diet-related chronic diseases. In the United States, racial and ethnic minorities and those with lower incomes consistently exhibit lower dietary quality. Independently-owned restaurants are a common prepared food source in minority low-income communities, but there are significant knowledge gaps on how to work with these restaurants to offer healthy food, due to underlying and dynamic complexities associated with providing healthy food options.

"A torch, a rope, a belly laugh": engaging with the multiple voices of support groups for people living with rare dementia.

Purpose: Rare forms of dementia bring unique difficulties related to age of onset, impact on family commitments, employment and finances, and also bring distinctive needs for support and care. The aim of the present study was to explore and better understand what the concept of support means for people living with different rare dementia (PLwRD) and their care-partners who attend ongoing support groups.

Methods: Representing seven types of rare dementia, source material was collected from 177 PLwRD and care-partners attending in-person support groups, with the goal of developing research-informed group poems, co-constructed by a facilitating poet.

The 2022 ADEA Climate Study in U.S. and Canadian Dental Schools and Allied Dental Programs: Methodological Considerations.

Objectives: From January 2020 to the end of August 2020, preliminary research gathered data about the need for and the feasibility of an ADEA-led joint Climate Study of dental schools and allied dental programs in the United States and Canada. Informed by these findings, the first ever ADEA-led joint Climate Study took place in 2022. The objectives of this manuscript were to describe the timeline of this climate study and provide information about its methodology, specifically about (a) who participated in this research, (b) what was assessed, (c) how the study was conducted, and (d) how the results were communicated.

Metabolic Tagging Technology of Exosomes- An Updated Review.

Exosomes are small extracellular vesicles secreted by various cell types, playing a crucial role in intercellular communication by carrying proteins, lipids, and nucleic acids, thus holding significant potential in diagnostics and therapeutics. Accurate labeling of exosomes is vital for studying their biogenesis, trafficking, and functional properties, enabling precise tracking and manipulation. This review examines current labeling techniques, including metabolic glycan labeling, chemical tagging, membrane fluorescent dyes, bio-conjugation, non-covalent labeling, and cell-engineering approaches.

Life satisfaction around the world: Measurement invariance of the Satisfaction With Life Scale (SWLS) across 65 nations, 40 languages, gender identities, and age groups.

The Satisfaction With Life Scale (SWLS) is a widely used self-report measure of subjective well-being, but studies of its measurement invariance across a large number of nations remain limited. Here, we utilised the Body Image in Nature (BINS) dataset-with data collected between 2020 and 2022 -to assess measurement invariance of the SWLS across 65 nations, 40 languages, gender identities, and age groups (N = 56,968). All participants completed the SWLS under largely uniform conditions.

Therapeutic gene target prediction using novel deep hypergraph representation learning.

Identifying therapeutic genes is crucial for developing treatments targeting genetic causes of diseases, but experimental trials are costly and time-consuming. Although many deep learning approaches aim to identify biomarker genes, predicting therapeutic target genes remains challenging due to the limited number of known targets. To address this, we propose HIT (Hypergraph Interaction Transformer), a deep hypergraph representation learning model that identifies a gene's therapeutic potential, biomarker status, or lack of association with diseases.

Feasibility, acceptability, and perceived benefits of a creative arts intervention for elementary school children living with speech, language and communication disorders.

Background: Children with speech, language, and communication disorders require specialized support in response to their emotional expression challenges. Not only is such support key for their development, but it is also essential for their mental well-being. Art making emerges as a valuable tool for enabling these children to convey emotions both verbally and non-verbally, fostering a positive self-concept.

Feasibility and acceptability of a telephone-based ACT intervention for caregivers (TACTICs) of adults with Alzheimer's disease and related dementias (ADRD): a randomized pilot during the COVID-19 pandemic.

Objectives: Examine the feasibility, acceptability, and preliminary effects of the Telephone Acceptance and Commitment Therapy Intervention for Caregivers (TACTICs) on dementia caregivers' anxiety, depression, caregiver burden, suffering, and anticipatory grief.

Method: A 2-arm pilot randomized trial with dementia caregivers ≥ 21 years old with clinically elevated anxiety or anxiety-related functional interference. Two cohorts were recruited at the beginning and end of the first year of the COVID-19 pandemic.

A Proposed Framework to Aid Primary Care Clinicians in Promoting Cardiovascular Health.

Healthy lifestyle behaviors play a significant role in promoting cardiovascular health. Primary care clinicians (PCCs) are tasked with promoting cardiovascular health through the assessment of lifestyle behaviors and the use of behavior change counseling. However, PCCs face several barriers including a lack of training in counseling techniques.

Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection.

It is important in the rising demands to have efficient anomaly detection in camera surveillance systems for improving public safety in a complex environment. Most of the available methods usually fail to capture the long-term temporal dependencies and spatial correlations, especially in dynamic multi-camera settings. Also, many traditional methods rely heavily on large labeled datasets, generalizing poorly when encountering unseen anomalies in the process.

"A quality of heart, of presence, and of really caring": toward affirmative intersex health communication in Canada.

Introduction: This qualitative research study aimed to better understand and help improve the Canadian context for health communication with intersex adults by centering the voices of those directly involved and impacted.

Methods: We conducted 22 semi-structured interviews with intersex individuals (14) and healthcare practitioners (HCPs, 8) from diverse areas of care. Interviews were analyzed via template thematic analysis and filtered through a conceptual lens that brought together agency-based and social-ecological models of health communication.

Trust in scientists and their role in society across 68 countries.

Science is crucial for evidence-based decision-making. Public trust in scientists can help decision makers act on the basis of the best available evidence, especially during crises. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists.

Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset.

Science is integral to society because it can inform individual, government, corporate, and civil society decision-making on issues such as public health, new technologies or climate change. Yet, public distrust and populist sentiment challenge the relationship between science and society. To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries.

Performance on the Concussion Balance Test Is Indicative of Time to Recovery in Athletes Following Sports-Related Concussion: An Exploratory Analysis.

Objective: Sports-related concussions (SRCs) are commonly occurring injuries among athletic and recreationally active populations. SRCs can result in vestibular dysfunction that should resolve before returning to activity. It has been suggested that vestibular impairment is a factor that may influence recovery time.