bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social and knowledge diversity in forest education: Vital for the world’s forests
Authors: Rekola Mika , Taber Andrew B. , Sharik Terry L. , Parrotta John A. , Dockry Michael J. , Babalola Folaranmi D. , Bal Tara L. , Ganz David , Gruca Marta , Guariguata Manuel R. , Kungu James , Larasatie Pipiet , Nevgi Anne , Rodriguez-Piñeros Sandra , Saengcharnchai Sirichai , Sandström Niclas , Walji Khalil 
Published: December 2024

Abstract
A global assessment of the status of tertiary, vocational, and technical forest education and training found deficits in inclusion of knowledge and student diversity. Coverage of forest services and cultural and social issues was characterized as weak in the curricula of many programs. The inclusion of traditional and Indigenous knowledge was frequently poor or absent. Gaps were found in enrollment at tertiary education levels with respect to diversity by gender, race/ethnicity, and other societal groups. If unaddressed, forest researchers, professionals, and workers will continue to lack familiarity with different knowledge systems and the importance of inclusive representation. Improvements in forest education related curricula, research, monitoring, policy, recruitment, and promotion are recommended. Without remedial action to build a representative, skilled, and knowledgeable workforce, prospects for forests to meet local, national, and global goals are at risk. Improved social and knowledge diversity in forest education is paramount for the future of forests.
An Update on Post-Traumatic Epilepsy
Authors: Acosta Oliver , Barcikowski Jaclyn 
Published: December 2024

Abstract
Purpose of Review
Our aim was to revisit important defining terms and concepts regarding post-traumatic epilepsy that reflect a modern view of the condition, as well as update the reader on the current understanding of the pathophysiological mechanisms behind post-traumatic epileptogenesis and how this frames future work on identifying reliable electroencephalographic, serum, and CSF biomarkers to better study and develop treatments for preventing and modifying post-traumatic epilepsy.

Recent Findings
The epileptogenic process involves a complex interplay of blood-brain barrier disruption, neuroinflammation, loss of inhibitory neural circuitry and unregulated neuronal plasticity. Potential biomarkers include epileptiform abnormalities and electrographic seizures on EEG, IL-1β, and downregulation of BDNF. Targets of interest for suppressing epileptogenesis include ceftriaxone, retigabine, and TrkB receptor agonists.

Summary
Meaningful research on post-traumatic seizures and PTE relies on an accurate understanding of the condition via updated terminology. As the complex interplay of multiple inflammatory cascades involved in secondary brain injury has become clearer, new options for monitoring the epileptogenic process have emerged, along with potential targets for intervention.
Colorado Immersion Training in Community Engagement: Ten years of learning and doing
Authors: Wright Leslie A. , Garcia Reginaldo , Fisher Mary E. , Gordon Kaylee , Nease Donald E. , Sweitzer Elizabeth , LoudHawk-Hedgepeth Crystal , Ortiz Charlene Barrientos , Taméz Montelle , Ramírez Lorenzo , Zittleman Linda , Sobral Bruno Walther Santos 
Published: December 2024

Abstract
The Colorado Immersion Training in Community Engagement (CIT) program supports a change in the research trajectory of junior faculty, early career researchers, and doctoral students toward Community-Based Participatory Research (CBPR). CIT is within the Community Engagement and Health Equity Core (CEHE) at the Colorado Clinical and Translational Sciences Institute (CCTSI), an NIH-funded Clinical and Translational Science award. This Translational Science Case Study reports on CIT’s impacts from 2010 to 2019. A team from The Evaluation Center at the University of Colorado Denver utilized four primary data sources: administrative records, participant written reflections, participant and Community Research Liaison (CRL) interviews, and community partner surveys. Data were analyzed using the framework of CBPR principles and the conceptual logic model. CIT trained 122 researchers in CBPR through embedded education within various Colorado communities. CIT Alumni secured ∼$8,723,000 in funding between CCTSI Pilot Grants and external funding. Also, CIT alumni implemented CBPR into curricula and community programming and developed deep, lasting relationships. Further key learnings include the crucial role of CRLs in building relationships between university and community partners and how CIT may serve as a mechanism to improve historical mistrust between communities and universities.
The Anglo-Saxons: Myth and History
Authors: Naismith Rory 
Published: December 2024

Abstract
‘Anglo-Saxon’ is a term with a long and nuanced history. This study assesses where the word itself comes from, why it has been felt appropriate to separate the pre-Conquest epoch from later English history and why the Anglo-Saxons have taken on so many different meanings in subsequent times. Beginning with the deployment of ‘Anglo-Saxon’ in the eighth to tenth centuries, the focus then turns to how the period before 1066 was constructed as a formative time for English national and institutional identity. This process began in the later Middle Ages, but the term ‘Anglo-Saxon’ itself only began to be used again in the sixteenth century. It later took on powerful political and cultural resonance, which eventually gave rise to a racial understanding of ‘Anglo-Saxon’. The difficult legacy of these many layers of later usage, including developments since the Victorian peak of Anglo-Saxonism, is also assessed.
Dietary factors and rheumatoid arthritis: new perspectives from a Mendelian randomisation analysis
Authors: Wang Yidian , Hu Shouye , Zhang Weisong , Zhang Binfei , Yang Zhi 
Published: December 2024

AbstractRheumatoid arthritis (RA) is a prevalent autoimmune disease, and there is growing evidence suggesting a potential correlation between dietary factors and the pathogenesis of this condition. In order to investigate the causal relationship between diet and RA, we conducted a two-sample Mendelian randomisation (MR) analysis to examine the causal associations between twenty-two dietary factors and RA. Summary data from genome-wide association studies (GWAS) of RA were obtained from large GWAS meta-analyses. GWAS summary data for twenty-two dietary factors were obtained from UK Biobank. Random-effects inverse variance weighted was used as the primary method for assessing causality, and analyses of heterogeneity and horizontal pleiotropy were performed to ensure the accuracy of the results. Research indicates a negative genetic causal relationship between cereal intake (OR = 0·64, 95 % CI: 0·41, 0·99, P = 0·048) and oily fish intake (OR = 0·70, 95 % CI: 0·52, 0·95, P = 0·020) with the risk of RA. Other dietary factors were not causally related to RA. Sensitivity analysis shows that our results are reliable. This study provides genetic evidence suggesting that cereal intake and oily fish intake are protective factors for RA, indicating that RA patients and individuals at high risk should make appropriate dietary adjustments.
Genetically identified Salmonella typhimurium outbreak linked to a rural Butcher’s Shop, February–March 2018, North East England
Authors: Love Nicola , Painset Anaïs , Aird Heather , Coleman Hayley , Sorrell Shirley , Stoker Claire , Manley Petra , Wilson Deborah 
Published: December 2024

Abstract
Between February and April 2018, Salmonella typhimurium within a unique 5-single nucleotide polymorphism (SNP) address was isolated from 28 cases with links to a small rural area of Northeast England, with five cases prospectively identified by whole genome sequencing (WGS). Infections had a severe clinical picture with ten cases hospitalized (36%), two cases with invasive disease, and two deaths reported. Interviews determined that 24 cases (86%) had been exposed to a local independent butcher’s shop (Butcher A).
A case-control study using controls recruited by systematic digit dialling established that cases were 68 times more likely to have consumed cooked meat from Butcher A (Adjusted OR 68.1; 95% CI: 1.9–2387.6; P = 0.02). Salmonella typhimurium genetically highly related to 28 of the outbreak cases was also isolated from a sample of cooked meat on sale in the premises.
Epidemiological and microbiological investigations suggest this outbreak was likely associated with the consumption of ready-to-eat foods supplied by the implicated butcher. A relatively large number of cases were involved despite the rurality of the food business, with cases resident across the Northeast and Yorkshire identified using WGS, demonstrating the benefit of timely sequencing information to community outbreak investigations.
An acoustic study of ATR in Tima vowels: vowel quality, voice quality and duration
Authors: Tabain Marija , Padgett Jaye , Schneider-Blum Gertrud , Gregory Adele , Beare Richard 
Published: December 2024

Abstract
Tima has a typologically unusual 12-vowel advanced tongue root (ATR) harmony system, contrasting six [+ATR] vowels /i e ɨ ʌ o u/ with six [−ATR] vowels /ɪ ɛ ɘ a ɔ ʊ/. This harmony system provides a test case for generalisations about ATR systems: for example, that [−ATR] is less compatible with higher vowels; that [+ATR] is less compatible with lower vowels and that central vowels are incompatible with [ATR] systems. After showing that all vowels participate fully in ATR harmony, this article presents an acoustic study of the Tima ATR contrast. We show that /ʌ/, the [+ATR] counterpart of /a/, patterns as a mid vowel, and that duration and voice quality differences characterise Tima’s crowded vowel inventory. Though F1 is the primary individual correlate of the ATR contrast, as is true cross-linguistically, a number of measures support voice quality differences as well, as predicted by the Laryngeal Articulator Model account of ATR systems.
Using the Behaviour Change Wheel and Theoretical Domains Framework to identify factors related to increasing fruit and vegetable consumption in children to guide future intervention development
Authors: George Louise , Davison Jenny 
Published: December 2024

Abstract

Objective:
This study used the Behaviour Change Wheel (BCW) and Theoretical Domains Framework (TDF) to identify parental factors that are associated with increasing their child’s fruit and vegetable consumption. The information gathered enabled a behavioural diagnosis and the identification of intervention functions to increase fruit and vegetable consumption in children.

Design:
A qualitative design using open-ended online survey methodology was utilised.

Setting:
United Kingdom.

Participants:
Twenty-eight parents of primary school-aged children (4–11 years) aged 29–51 years participated.

Results:
Thematic and summative analysis identified skills in preparation and cooking, awareness of and desire to increase fruit and vegetable intake, knowledge of the recommendations and better health for their child as the main facilitators. The main barriers were time and financial constraints, their child’s food preferences and refusal to eat fruit and vegetables, negative role modelling from parents and grandparents and beliefs that fruit and vegetable intake will increase with age. For behaviour change to occur, ‘knowledge’, ‘social influences’, ‘environmental context and resources’, ‘beliefs about consequences’ and ‘beliefs about capabilities’ need to be altered.

Conclusions:
Novel findings suggest that future intervention development should focus on parental beliefs and skills around how to increase fruit and vegetable consumption as their child ages and expanding parental knowledge on the benefits of fruit and vegetable consumption such as mental and future health. The use of the TDF and BCW identified appropriate intervention functions that will guide future behaviour change techniques, modes of delivery and policy categories that best target increasing children’s fruit and vegetable consumption.
On the Extrapolation of Generative Adversarial Networks for Downscaling Precipitation Extremes in Warmer Climates
Authors: Rampal Neelesh , Gibson Peter B. , Sherwood Steven , Abramowitz Gab 
Published: December 2024

AbstractWhile deep‐learning downscaling algorithms can generate fine‐scale climate projections cost‐effectively, it is unclear how effectively they extrapolate to unobserved climates. We assess the extrapolation capabilities of a deterministic Convolutional Neural Network baseline and a Generative Adversarial Network (GAN) built with this baseline, trained to predict daily precipitation simulated by a Regional Climate Model (RCM) over New Zealand. Both approaches emulate future changes in annual mean precipitation well, when trained on historical data, though training on a future climate improves performance. For extreme precipitation (99.5th percentile), RCM simulations predict a robust end‐of‐century increase with future warming (∼5.8%/C on average from five simulations). When trained on a future climate, GANs capture 97% of the warming‐driven increase in extreme precipitation compared to 65% in a deterministic baseline. Even GANs trained historically capture 77% of this increase. Overall, GANs offer better generalization for downscaling extremes, which is important in applications relying on historical data.
New insights into protein–protein interaction modulators in drug discovery and therapeutic advance
Authors: Nada Hossam , Choi Yongseok , Kim Sungdo , Jeong Kwon Su , Meanwell Nicholas A. , Lee Kyeong 
Published: December 2024

AbstractProtein-protein interactions (PPIs) are fundamental to cellular signaling and transduction which marks them as attractive therapeutic drug development targets. What were once considered to be undruggable targets have become increasingly feasible due to the progress that has been made over the last two decades and the rapid technological advances. This work explores the influence of technological innovations on PPI research and development. Additionally, the diverse strategies for discovering, modulating, and characterizing PPIs and their corresponding modulators are examined with the aim of presenting a streamlined pipeline for advancing PPI-targeted therapeutics. By showcasing carefully selected case studies in PPI modulator discovery and development, we aim to illustrate the efficacy of various strategies for identifying, optimizing, and overcoming challenges associated with PPI modulator design. The valuable lessons and insights gained from the identification, optimization, and approval of PPI modulators are discussed with the aim of demonstrating that PPI modulators have transitioned beyond early-stage drug discovery and now represent a prime opportunity with significant potential. The selected examples of PPI modulators encompass those developed for cancer, inflammation and immunomodulation, as well as antiviral applications. This perspective aims to establish a foundation for the effective targeting and modulation of PPIs using PPI modulators and pave the way for future drug development.
Sleep-related breathing disorder in a Japanese occupational population and its association with exercise-induced blood pressure elevation
Authors: Inoue Minako , Sakata Satoko , Arima Hisatomi , Yamato Ikumi , Oishi Emi , Ibaraki Ai , Kitazono Takanari , Goto Kenichi 
Published: December 2024

Abstract
Sleep-related breathing disorder (SRBD) and exercise-induced blood pressure (BP) elevation are known risk factors for hypertension. However, the relation between them remains unknown. This cross-sectional study examined the relationship between SRBD and exercise-induced BP elevation in a Japanese occupational population. Using the 3% oxygen desaturation index (3%ODI) obtained by a portable monitor for overnight saturation of percutaneous oxygen (SpO2), participants were classified into low (0 ≤ 3%ODI < 5), medium (5 ≤ 3%ODI < 15), and high (15 ≤ 3%ODI) 3%ODI groups. We included employees who had undergone an exercise electrocardiogram test after monitoring for overnight SpO2. In total, 928 employees were included. The median age of the participants was 50 years, 96% were male, the mean body mass index was 23.9 ± 3.1 kg/m2, and the median 3%ODI was 4.9 (interquartile range: 1.6–6.5). Among them, 30% and 5% were categorized into the medium and high 3%ODI groups, respectively. At a median exercise intensity of 10.1 METs, BP changed from 124 ± 16/76 ± 12 mmHg before to 183 ± 26/85 ± 14 mmHg after exercise, with a mean systolic BP change of +59 ± 23 mmHg (−20 to +128 mmHg). When we defined systolic BP change of +60 mmHg or more as exercise-induced BP elevation, the odds ratio for exercise-induced BP elevation increased significantly with higher 3%ODI levels after multivariate adjustment for parameters including current use of antihypertensive medication and maximal exercise intensity (p for trend = 0.01). Higher 3%ODI was significantly associated with higher prevalence of exercise-induced BP elevation, suggesting sympathetic hyperactivity occurs in SRBD patients. Our results suggest the potential presence of SRBD should be considered in individuals with exercise-induced BP elevation.
Assessment of Carcinogenic and non-carcinogenic risk indices of heavy metal exposure in different age groups using Monte Carlo Simulation Approach
Authors: Shetty B Raksha , Pai B Jagadeesha , Salmataj S A , Naik Nithesh 
Published: December 2024

AbstractDermal contact, ingestion and inhalation of heavy metal poses significant health risk in human subjects. The exposure could be via potable water, soil or air. The current experiment design focuses on soil media and exposure. Advanced probabilistic and geospatial methods are used in this study which evaluates contamination levels and health risks associated with iron (Fe), arsenic (As), zinc (Zn), copper (Cu), nickel (Ni), chromium (Cr), lead (Pb), and cadmium (Cd) in soil samples. The samples were collected and analysed using ICP-OES after tri-acid digestion, and indices such as Geoaccumulation Index (Igeo), Contamination Factor (CF), Pollution Load Index (PLI), Hazard Quotient (HQ), Hazard Index (HI), and Carcinogenic Risk (CR) were used to assess environmental impacts and health risks across the age groups via oral ingestion, inhalation and dermal contact. The current study indicates heavy metal concentrations follow the order Ni > Zn > Pb > Cu > Cr > As > Cd, with more than 60% of samples demonstrating significant pollution levels. The computational method used in the study revealed substantial non carcinogenic risk (HQ > 1) and carcinogenic risk (33%) in the population related to As exposure. Geospatial analysis and Monte Carlo simulations helped in identifying the hotspots in the tropical coastal area emphasizing need for targeted remediation focusing on As and Pb.
Using deep learning to classify developmental differences in reaching and placing movements in children with and without autism spectrum disorder
Authors: Su Wan-Chun , Mutersbaugh John , Huang Wei-Lun , Bhat Anjana , Gandjbakhche Amir 
Published: December 2024

AbstractAutism Spectrum Disorder (ASD) is among the most prevalent neurodevelopmental disorders, yet the current diagnostic procedures rely on behavioral analyses and interviews, without objective screening methods to support the diagnostic process. This study seeks to address this gap by integrating upper limb kinematics and deep learning methods to identify potential biomarkers that could be validated in younger age groups in the future to enhance the identification of ASD. Forty-one school-age children, with and without an ASD diagnosis (mean age ± SE: TD group: 10.3 ± 0.8, 8 males and 7 females; ASD group: 10.3 ± 0.5, 21 males and 5 females), participated in the study. A single Inertial Measurement Unit (IMU) was affixed to the child’s wrist as they engaged in a continuous reaching and placing task. Deep learning techniques were employed to classify children with and without ASD. Our findings suggest differential movement kinematics in school-age children compared to healthy adults. Compared to TD children, children with ASD exhibited poor feedforward/feedback control of arm movements as seen by greater number of movement units, more movement overshooting, and prolonged time to peak velocity/acceleration. Unique movement strategies such as greater velocity and acceleration were also seen in the ASD group. More importantly, using Multilayer Perceptron (MLP) model, we demonstrated an accuracy of ~ 78.1% in classifying children with and without ASD. These findings underscore the potential use of studying upper limb movement kinematics during goal-directed arm movements and deep learning methods as valuable tools for classifying and, consequently, aiding in the diagnosis and early identification of ASD upon further validation of their specificity among younger children.
Differential Diagnosis of a Pharyngeal Fricative and Therapeutic Monitoring of Velopharyngeal Function Using Magnetic Resonance Imaging
Authors: Mason Kazlin N. , Botz Ellie , Gampper Thomas 
Published: December 2024

Purpose:
Speech disorders associated with velopharyngeal dysfunction (VPD) are common. Some require surgical management, while others are responsive to speech therapy. This is related to whether the speech error is obligatory (passive) or compensatory (active). Accurate identification of speech errors is necessary to facilitate timely and appropriate intervention. Recent studies have supported the role of magnetic resonance imaging (MRI) in the assessment process for VPD. The purpose of this study was to utilize MRI to support differential diagnosis and treatment planning in a child presenting with inconsistent nasal air escape, mild hypernasality, and compensatory speech errors.

Method:
A nonsedated, fully awake, velopharyngeal (VP) MRI protocol was implemented to acquire anatomic data at rest and during phonation. Segmentations and visualization of the tongue, palate, adenoids, and nasopharyngeal airway were completed. Anatomic linear measurements were obtained for VP variables to assess VP function, establish a baseline, and monitor change over time.

Results:
VP anatomy was successfully visualized on MRI in multiple imaging planes. All anatomic measurements fell within normative expectations. Elevation and retraction of the soft palate occurred against the adenoid pad. A pharyngeal fricative was documented, resulting a small VP gap during speech. In contrast, adequate VP closure was obtained for vowels and other oral consonant sounds.

Conclusions:
Quantitative assessment and visualization of the anatomy demonstrated adequate VP closure capabilities and a pharyngeal fricative substitution that had not been adequately perceived during routine clinical assessments. This study suggests a promising additive role for VP MRI for enhanced differential diagnosis and therapeutic monitoring in children with VPD and concomitant speech disorders.

Supplemental Material:

https://doi.org/10.23641/asha.27905451