Overcoming the Tropical Andes publication divide: Insights from local researchers on challenges and solutions.

The Tropical Andes, one of the world's most biodiverse regions, is vital for ecological research and conservation. However, while researchers in Bolivia, Ecuador, and Peru contribute significantly to scientific knowledge, their publication rates in academic journals have historically lagged behind neighboring nations. A multifaceted strategy was employed to understand and address the publication divide in the Tropical Andes region.

Effects of testosterone on speech production and perception: Linking hormone levels in males to vocal cues and female voice attractiveness ratings.

This study sets out to investigate the potential effect of males' testosterone level on speech production and speech perception. Regarding speech production, we investigate intra- and inter-individual variation in mean fundamental frequency (f) and formant frequencies and highlight the potential interacting effect of another hormone, i.e.

EEG Correlates of Suggestion-Induced Stroop Interference Reduction in High-Suggestible Individuals: A Systematic Review and Meta-Analysis.

Studies have explored the impact of suggestion on the Stroop effect, aiming to understand how effective suggestion is in modulating this phenomenon. The suggestion effect has been replicated in multiple studies, supporting its robustness, but lacks systematic evaluation. We conducted a systematic review and meta-analysis of relevant English-language studies from PubMed, Web of Science, PsycINFO, Scopus, and ScienceDirect since databases inception until January 2023.

Bronze age Northern Eurasian genetics in the context of development of metallurgy and Siberian ancestry.

The Eurasian Bronze Age (BA) has been described as a period of substantial human migrations, the emergence of pastoralism, horse domestication, and development of metallurgy. This study focuses on two north Eurasian sites sharing Siberian genetic ancestry. One of the sites, Rostovka, is associated with the Seima-Turbino (ST) phenomenon (~2200-1900 BCE) that is characterized by elaborate metallurgical objects found throughout Northern Eurasia.

Long versus short course anti-microbial therapy of uncomplicated Staphylococcus aureus bacteraemia: a systematic review.

Background: Current guidelines recommend at least 2 weeks duration of antibiotic therapy (DOT) for patients with uncomplicated Staphylococcus aureus bacteraemia (SAB) but the evidence for this recommendation is unclear.

Objectives: To perform a systematic literature review assessing current evidence for recommended DOT for patients with SAB.

Methods: The following are the methods used for this study.

Constructing knowledge: the role of AI in medical learning.

The integration of large language models (LLMs) like ChatGPT into medical education presents potential benefits and challenges. These technologies, aligned with constructivist learning theories, could potentially enhance critical thinking and problem-solving through inquiry-based learning environments. However, the actual impact on educational outcomes and the effectiveness of these tools in fostering learning require further empirical study.

A concept for international societally relevant microbiology education and microbiology knowledge promulgation in society.

Executive Summary: Microbes are all pervasive in their distribution and influence on the functioning and well-being of humans, life in general and the planet. Microbially-based technologies contribute hugely to the supply of important goods and services we depend upon, such as the provision of food, medicines and clean water. They also offer mechanisms and strategies to mitigate and solve a wide range of problems and crises facing humanity at all levels, including those encapsulated in the sustainable development goals (SDGs) formulated by the United Nations.

Bayesian modelling of time series data (BayModTS)-a FAIR workflow to process sparse and highly variable data.

Motivation: Systems biology aims to better understand living systems through mathematical modelling of experimental and clinical data. A pervasive challenge in quantitative dynamical modelling is the integration of time series measurements, which often have high variability and low sampling resolution. Approaches are required to utilize such information while consistently handling uncertainties.

Examining the dynamic impact of carbon emissions, renewable energy and economic growth on healthcare expenditure in Asian countries.

This study aims to examine the impact of renewable energy, carbon emissions, and economic growth on healthcare spending in 36 Asian countries during 2000-2019. Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Square (DOLS) models have been applied to the panel data for 36 Asian countries. The study's findings show that CO emissions in Asia increased due to public and private health spending, with the commercial health sector having a larger negative influence on CO emissions than the public sector.

Exploring the impact of music on response to ketamine/esketamine: A scoping review.

Music and ketamine are both known to affect therapeutic outcomes, but few studies have investigated their co-administration. This scoping review describes the existing literature on the joint use of music and ketamine-or esketamine (the S(+) enantiomer of ketamine)-in humans. The review considers that extant studies have explored the intersection of ketamine/esketamine and music in healthy volunteers and in patients of various age groups, at different dosages, through different treatment processes, and have varied the sequence of playing music relative to ketamine/esketamine administration.

Assessing the efficacy of large language models in spinal health information dissemination.

•Examines AI's role in spinal health education.•Stresses multidisciplinary AI evaluations.•Advocates for stringent AI healthcare regulations.

Climate, climate change and the global diversity of human houses.

Globally, human house types are diverse, varying in shape, size, roof type, building materials, arrangement, decoration and many other features. Here we offer the first rigorous, global evaluation of the factors that influence the construction of traditional (vernacular) houses. We apply macroecological approaches to analyse data describing house features from 1900 to 1950 across 1000 societies.

An asymptomatic male individual carrying a 5.72 Mb deletion in 8p23.2‑p23.3: A case report.

Numerous rearrangements in the 8p23 chromosomal region have been reported; included in these rearrangements are isolated deletions in this area. Such deletions are associated with a wide range of phenotypic characteristics, including motor impairment, epilepsy, intellectual disability, cardiac defects and seizures. The present study describes the case of a 30-year-old asymptomatic man that carries a deletion in 8p23.

Machine Translation for Multilingual Cancer Patient Education: Bridging Languages, Navigating Challenges.

This commentary evaluates the use of machine translation for multilingual patienteducation in oncology. It critically examines the balance between technologicalbenefits in language accessibility and the potential for increasing healthcare disparities.The analysis emphasizes the need for a multidisciplinary approach to translation thatincorporates linguistic accuracy, medical clarity, and cultural relevance.

Language-like efficiency and structure in house finch song.

Communication needs to be complex enough to be functional while minimizing learning and production costs. Recent work suggests that the vocalizations and gestures of some songbirds, cetaceans and great apes may conform to linguistic laws that reflect this trade-off between efficiency and complexity. In studies of non-human communication, though, clustering signals into types cannot be done , and decisions about the appropriate grain of analysis may affect statistical signals in the data.

The evolutionary dynamics of how languages signal who does what to whom.

Languages vary in how they signal "who does what to whom". Three main strategies to indicate the participant roles of "who" and "whom" are case, verbal indexing, and rigid word order. Languages that disambiguate these roles with case tend to have either verb-final or flexible word order.

Effects of a Contingent Responses Intervention on the Quantity and Quality of Vocalizations of Preschool Children with Autism Spectrum Disorder.

Multiple contemporary theories emphasize the quantity and quality of child vocalizations for promoting spoken language acquisition. Yet, empirical evidence for facilitating vocal development is strikingly lacking including for children with autism spectrum disorder (ASD) who have difficulty developing language. We evaluate use of contingent responses and vocal enhancement strategies to increase the quantity and quality of child vocalizations to which adults can respond with language-facilitating input for children with ASD.

Large language models as decision aids in neuro-oncology: a review of shared decision-making applications.

Shared decision-making (SDM) is crucial in neuro-oncology, fostering collaborations between patients and healthcare professionals to navigate treatment options. However, the complexity of neuro-oncological conditions and the cognitive and emotional burdens on patients present significant barriers to achieving effective SDM. This discussion explores the potential of large language models (LLMs) such as OpenAI's ChatGPT and Google's Bard to overcome these barriers, offering a means to enhance patient understanding and engagement in their care.

Academic publishing requires linguistically inclusive policies.

Scientific knowledge is produced in multiple languages but is predominantly published in English. This practice creates a language barrier to generate and transfer scientific knowledge between communities with diverse linguistic backgrounds, hindering the ability of scholars and communities to address global challenges and achieve diversity and equity in science, technology, engineering and mathematics (STEM). To overcome those barriers, publishers and journals should provide a fair system that supports non-native English speakers and disseminates knowledge across the globe.

Clinical effectiveness of patient-targeted feedback following depression screening in general practice (GET.FEEDBACK.GP): an investigator-initiated, prospective, multicentre, three-arm, observer-blinded, randomised controlled trial in Germany.

Background: Screening for depression in primary care alone is not sufficient to improve clinical outcomes. However, targeted feedback of the screening results to patients might result in beneficial effects. The GET.

Technical Note: mzML and imzML Libraries for Processing Mass Spectrometry Data with the High-Performance Programming Language Julia.

Julia combines the virtues of high-level and low-level programming languages: The code is human-readable, and the performance of the created binaries competes with machine-orientated compilers. Thus, Julia is popular in "Big Data" sciences. Reading mass spectrometry (MS) data with Julia was impossible until now due to missing libraries.

Implementation of FAIR Practices in Computational Metabolomics Workflows-A Case Study.

Scientific workflows facilitate the automation of data analysis tasks by integrating various software and tools executed in a particular order. To enable transparency and reusability in workflows, it is essential to implement the FAIR principles. Here, we describe our experiences implementing the FAIR principles for metabolomics workflows using the Metabolome Annotation Workflow (MAW) as a case study.

The acute effects of pre- and mid-exercise carbohydrate ingestion on the immunoregulatory stress hormone release in experienced endurance athletes-a systematic review.

Background: In times of physical stress, the body orchestrates a multisystemic regulatory response. The hormones epinephrine and norepinephrine play a role in the immediate regulation chain, while cortisol is involved in delayed regulation. The release of those stress hormones in response to exercise has previously been reported to elicit diverse immune reactions.

Simplifying Multimodal Clinical Research Data Management: Introducing an Integrated and User-friendly Database Concept.

Background:  Clinical research, particularly in scientific data, grapples with the efficient management of multimodal and longitudinal clinical data. Especially in neuroscience, the volume of heterogeneous longitudinal data challenges researchers. While current research data management systems offer rich functionality, they suffer from architectural complexity that makes them difficult to install and maintain and require extensive user training.

Leveraging artificial intelligence in neurosurgery-unveiling ChatGPT for neurosurgical discharge summaries and operative reports.

Purpose: Chat generative pre-trained transformer (GPT) is a novel large pre-trained natural language processing software that can enable scientific writing amongst a litany of other features. Given this, there is a growing interest in exploring the use of ChatGPT models as a modality to facilitate/assist in the provision of clinical care.

Methods: We investigated the time taken for the composition of neurosurgical discharge summaries and operative reports at a major University hospital.