bluuebunny/crossref_metadata_2025_split huggingface dataset:
The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Authors: Han Yan , Zeng Xinglin , Hua Lin , Quan Xingping , Chen Ying , Zhou Manfei , Chuang Yaochen , Li Yang , Wang Shengpeng , Shen Xu , Wei Lai , Yuan Zhen , Zhao Yonghua 
Published: January 2024

Abstract
Background
The increasing prevalence of neurocognitive disorders (NCDs) in the aging population worldwide has become a significant concern due to subjectivity of evaluations and the lack of precise diagnostic methods and specific indicators. Developing personalized diagnostic strategies for NCDs has therefore become a priority.

Results
Multimodal electroencephalography (EEG) data of a matched cohort of normal aging (NA) and NCDs seniors were recorded, and their faecal samples and urine exosomes were collected to identify multi-omics signatures and metabolic pathways in NCDs by integrating metagenomics, proteomics, and metabolomics analysis. Additionally, experimental verification of multi-omics signatures was carried out in aged mice using faecal microbiota transplantation (FMT). We found that NCDs seniors had low EEG power spectral density and identified specific microbiota, including Ruminococcus gnavus, Enterocloster bolteae, Lachnoclostridium sp. YL 32, and metabolites, including L-tryptophan, L-glutamic acid, gamma-aminobutyric acid (GABA), and fatty acid esters of hydroxy fatty acids (FAHFAs), as well as disturbed biosynthesis of aromatic amino acids and TCA cycle dysfunction, validated in aged mice. Finally, we employed a support vector machine (SVM) algorithm to construct a machine learning model to classify NA and NCDs groups based on the fusion of EEG data and multi-omics profiles and the model demonstrated 92.69% accuracy in classifying NA and NCDs groups.

Conclusions
Our study highlights the potential of multi-omics profiling and EEG data fusion in personalized diagnosis of NCDs, with the potential to improve diagnostic precision and provide insights into the underlying mechanisms of NCDs.
Career self-efficacy as a mediator between career-specific parental behaviors and school career support on career doubt
Authors: Cheung Francis 
Published: January 2024

AbstractThis study evaluates whether career-specific parental behaviors and school career supports predict career doubt via the mediation of career self-efficacy. 227 participants aged between 18 and 25 completed an online questionnaire. Structural equation model (SEM) analysis showed that school career support was significantly related to career doubt via the mediation of career self-efficacy. However, the hypothesized mediation of career self-efficacy between career-specific parental behaviors and career doubt was not supported. Limitation and implications are discussed.
The genomic alterations in glioblastoma influence the levels of CSF metabolites
Authors: Wang Daniel H. , Fujita Yoko , Dono Antonio , Rodriguez Armendariz Ana G. , Shah Mauli , Putluri Nagireddy , Pichardo-Rojas Pavel S. , Patel Chirag B. , Zhu Jay-Jiguang , Huse Jason T. , Parker Kerrigan Brittany C. , Lang Frederick F. , Esquenazi Yoshua , Ballester Leomar Y. 
Published: January 2024

AbstractCerebrospinal fluid (CSF) analysis is underutilized in patients with glioblastoma (GBM), partly due to a lack of studies demonstrating the clinical utility of CSF biomarkers. While some studies show the utility of CSF cell-free DNA analysis, studies analyzing CSF metabolites in patients with glioblastoma are limited. Diffuse gliomas have altered cellular metabolism. For example, mutations in isocitrate dehydrogenase enzymes (e.g., IDH1 and IDH2) are common in diffuse gliomas and lead to increased levels of D-2-hydroxyglutarate in CSF. However, there is a poor understanding of changes CSF metabolites in GBM patients. In this study, we performed targeted metabolomic analysis of CSF from n = 31 patients with GBM and n = 13 individuals with non-neoplastic conditions (controls), by mass spectrometry. Hierarchical clustering and sparse partial least square-discriminant analysis (sPLS-DA) revealed differences in CSF metabolites between GBM and control CSF, including metabolites associated with fatty acid oxidation and the gut microbiome (i.e., carnitine, 2-methylbutyrylcarnitine, shikimate, aminobutanal, uridine, N-acetylputrescine, and farnesyl diphosphate). In addition, we identified differences in CSF metabolites in GBM patients based on the presence/absence of TP53 or PTEN mutations, consistent with the idea that different mutations have different effects on tumor metabolism. In summary, our results increase the understanding of CSF metabolites in patients with diffuse gliomas and highlight several metabolites that could be informative biomarkers in patients with GBM.
Ionospheric response to the 2020 Samos earthquake and tsunami
Authors: Alfonsi Lucilla , Cesaroni Claudio , Hernandez-Pajares Manuel , Astafyeva Elvira , Bufféral Simon , Elias Panagiotis , Belehaki Anna , Ioanna Tsagouri , Yang Heng , Guerra Marco 
Published: January 2024

AbstractOn 30 October 2020 at 11:51 UT, a magnitude 7.0 earthquake occurred in the Dodecanese sea (37.84°N, 26.81°E, 10 km depth) and generated a tsunami with an observed run-up of more than 1 m on the Turkish coasts. Both the earthquake and the tsunami produced acoustic and gravity waves that propagated upward, triggering co-seismic and co-tsunamic ionospheric disturbances. This paper presents a multi-instrumental study of the ionospheric impact of the earthquake and related tsunami based on ionosonde data, ground-based Global Navigation Satellite Systems (GNSS) data and data from DORIS beacons received by Jason3 in the Mediterranean region. Our study focuses on the Total Electron Content to describe the propagation of co-seismic and co-tsunami ionospheric disturbances (CSID, CTID), possibly related to gravity waves triggered by the earthquake and tsunami. We use simultaneous vertical ionosonde soundings to study the interactions between the upper and lower atmosphere, highlighting the detection of acoustic waves generated by the seismic Rayleigh waves reaching the ionosonde locations and propagating vertically up to the ionosphere. The results of this study provide a detailed picture of the Lithosphere-Atmosphere–Ionosphere coupling in the scarcely investigated Mediterranean region and for a relatively weak earthquake.
Graphical abstract
The Connection Between Resistance Training, Climbing Performance, and Injury Prevention
Authors: Saeterbakken Atle Hole , Stien Nicolay , Pedersen Helene , Langer Kaja , Scott Suzanne , Michailov Michail Lubomirov , Gronhaug Gudmund , Baláš Jiří , Solstad Tom Erik Jorung , Andersen Vidar 
Published: January 2024

Abstract
Background
Climbing is an intricate sport composed of various disciplines, holds, styles, distances between holds, and levels of difficulty. In highly skilled climbers the potential for further strength-specific adaptations to increase performance may be marginal in elite climbers. With an eye on the upcoming 2024 Paris Olympics, more climbers are trying to maximize performance and improve training strategies. The relationships between muscular strength and climbing performance, as well as the role of strength in injury prevention, remain to be fully elucidated. This narrative review seeks to discuss the current literature regarding the effect of resistance training in improving maximal strength, muscle hypertrophy, muscular power, and local muscular endurance on climbing performance, and as a strategy to prevent injuries.

Main Body
Since sport climbing requires exerting forces against gravity to maintain grip and move the body along the route, it is generally accepted that a climber`s absolute and relative muscular strength are important for climbing performance. Performance characteristics of forearm flexor muscles (hang-time on ledge, force output, rate of force development, and oxidative capacity) discriminate between climbing performance level, climbing styles, and between climbers and non-climbers. Strength of the hand and wrist flexors, shoulders and upper limbs has gained much attention in the scientific literature, and it has been suggested that both general and specific strength training should be part of a climber`s training program. Furthermore, the ability to generate sub-maximal force in different work-rest ratios has proved useful, in examining finger flexor endurance capacity while trying to mimic real-world climbing demands. Importantly, fingers and shoulders are the most frequent injury locations in climbing. Due to the high mechanical stress and load on the finger flexors, fingerboard and campus board training should be limited in lower-graded climbers. Coaches should address, acknowledge, and screen for amenorrhea and disordered eating in climbers.

Conclusion
Structured low-volume high-resistance training, twice per week hanging from small ledges or a fingerboard, is a feasible approach for climbers. The current injury prevention training aims to increase the level of performance through building tolerance to performance-relevant load exposure and promoting this approach in the climbing field.
Protocol for evaluation of the feasibility and preliminary efficacy of a targeted transition readiness workshop intervention for pediatric brain tumor survivors
Authors: Bonanno Marco , Desjardins Leandra , Lugasi Tziona , Carrier Julie , Labonté Nathalie , Sultan Serge , Coltin Hallie , Perrault Sébastien , Provost Carole , Laverdière Caroline , Cloutier Nancy , Saragosti Andrea , Régnier-Trudeau Émilie , Koukoui Benedicte 
Published: January 2024

Abstract
Background
Pediatric brain tumor survivors (PBTS) are at risk of physical, cognitive, and psychosocial challenges related to their diagnosis and treatment. Routine follow-up care as adults is therefore essential to their long-term health and quality of life. In order to successfully navigate to adult healthcare, it is recommended that youth develop transition readiness skills. Existing transition readiness interventions often focus on disease management. However, PBTS are also at risk of social competence and cognitive functioning challenges. In this paper, we describe the protocol of this pilot study and the methodology that will be used for the evaluation of the feasibility, acceptability, and preliminary efficacy testing of the first targeted transition intervention workshops specifically designed to meet the needs of PBTS and their caregivers.

Methods
This study will use a mixed method to evaluate three 1 ½-h workshops targeted for dyads (N = 40) of PBTS (14 years or older) and their parents. Dyads will be recruited via a community pediatric cancer organization and the long-term follow-up clinic of a large pediatric hospital. Participants will complete an online survey which includes the Transition Readiness Assessment Questionnaire (TRAQ) before and after the workshops.
Each workshop will cover a specific topic related to PBTS transition readiness: disease management, social competence, and cognitive functioning. Workshops will follow the same structure: topic presentation, discussion by a post-transfer survivor or parent, teaching two strategies, and workshop evaluation. Workshops will be co-led by healthcare specialists and patient partners.
Feasibility and acceptability will be assessed via recruitment, attendance, retention, and Likert scales, and they will be analyzed by describing and comparing rates. Satisfaction will be measured using satisfaction surveys and audio-recorded focus groups. Qualitative data will be described through thematic content analysis. In order to test the preliminary efficacy of this study, we will compare transition readiness skills pre- and post-workshops using paired samples T test and ANCOVA to examine the impact of workshop on TRAQ skills.

Discussion
Results of the study will inform refinement and future broader implementation of targeted transition readiness workshops for the specific needs of pediatric brain tumor survivors.
Delayed prescription of antibiotics and the capabilities of herbal medicine when used in respiratory infections
Authors: Popovych V. I. , Koshel I. V. 
Published: January 2024

Abstract
Background
Excessive and improper use of antibiotics in respiratory infections is still an urgent issue. In most cases of ARS and AT, antibiotics can be considered excessive treatment, since they are a completely inappropriate solution for viral infections. An important issue is negative changes to the microbiome in the patient’s body, which cause a negative impact on health, and abnormal changes can last longer and be more severe than the disease itself. Misuse of antibiotics can be harmful, especially in children, because the long-term effects of antibiotics on the macroorganism and microbiome can cause the disease to recur in adulthood.

Main part
Sinupret® in the strategy of delayed prescription of antibiotics in ARS patients as part of a controlled study helps reduce prescription of antibacterials by 1.81 times and by 15.5 times (53% to 3.4%) versus statistics. Imupret® in patients with severe acute tonsillitis when employing the approach of delayed antibiotics prescription reduces the need for antibacterial therapy by 43.7% or 2.3 times, and by 11 times (72% to 10.1%) versus the average statistical level of prescription. Unlike antibiotics, herbal medicines positively affect the patient’s microbiome and have a favourable safety profile.
It is imperative to increase knowledge and awareness, as well as provide appropriate training and communication strategies among physicians to prevent overuse and misuse of antibiotics.

Conclusion
Herbal medicinal products BNO1016 (Sinupret®) and BNO1030 (Imupret®) can be considered as an alternative to antibiotics for the treatment of uncomplicated forms of acute rhinosinusitis and acute tonsillitis. Evidence shows that herbal medicines are effective and have a favourable safety profile. However, herbal medicinal products cannot replace antibiotics in all the cases, so delayed prescription of antibiotics with pre-treatment using herbal products can help reduce excessive and unjustified use of antibiotics.
A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour
Authors: Bond Melissa , Khosravi Hassan , De Laat Maarten , Bergdahl Nina , Negrea Violeta , Oxley Emily , Pham Phuong , Chong Sin Wang , Siemens George 
Published: January 2024

AbstractAlthough the field of Artificial Intelligence in Education (AIEd) has a substantial history as a research domain, never before has the rapid evolution of AI applications in education sparked such prominent public discourse. Given the already rapidly growing AIEd literature base in higher education, now is the time to ensure that the field has a solid research and conceptual grounding. This review of reviews is the first comprehensive meta review to explore the scope and nature of AIEd in higher education (AIHEd) research, by synthesising secondary research (e.g., systematic reviews), indexed in the Web of Science, Scopus, ERIC, EBSCOHost, IEEE Xplore, ScienceDirect and ACM Digital Library, or captured through snowballing in OpenAlex, ResearchGate and Google Scholar. Reviews were included if they synthesised applications of AI solely in formal higher or continuing education, were published in English between 2018 and July 2023, were journal articles or full conference papers, and if they had a method section 66 publications were included for data extraction and synthesis in EPPI Reviewer, which were predominantly systematic reviews (66.7%), published by authors from North America (27.3%), conducted in teams (89.4%) in mostly domestic-only collaborations (71.2%). Findings show that these reviews mostly focused on AIHEd generally (47.0%) or Profiling and Prediction (28.8%) as thematic foci, however key findings indicated a predominance of the use of Adaptive Systems and Personalisation in higher education. Research gaps identified suggest a need for greater ethical, methodological, and contextual considerations within future research, alongside interdisciplinary approaches to AIHEd application. Suggestions are provided to guide future primary and secondary research.
MRI for risk stratification of muscle invasion by upper tract urothelial carcinoma: a feasibility study
Authors: Messina Emanuele , Proietti Flavia , Laschena Ludovica , Flammia Rocco Simone , Pecoraro Martina , Cipollari Stefano , Simone Giuseppe , Catalano Carlo , Leonardo Costantino , Panebianco Valeria 
Published: January 2024

Abstract
Background
Magnetic resonance imaging (MRI) is recommended in patients with upper tract urothelial carcinoma (UTUC) only when computed tomography (CT) is contraindicated. However, CT does not allow distinguishing ureter wall layers, making impossible to assess muscle invasion, a factor contributing to differentiate high- from low-risk UTUCs, which require different therapeutic approaches. We investigated the feasibility of MRI assessment of UTUC muscle invasion.

Methods
From June 2022 to March 2023, we prospectively enrolled patients suspected of UTUC, i.e., with positive urinary tract ultrasound and/or ureteroscopy, or positive urinary cytology and/or hematuria but negative cystoscopy and bladder ultrasound at two Italian centers. They underwent CT followed by MRI (≤ 24 h apart), independently reported by two experienced radiologists, blinded from histopathology results. After imaging confirmation, they all underwent nephroureterectomy and histopathology analysis. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and area under the receiver operating characteristic curve (AUC) were calculated.

Results
Thirty-nine lesions were detected in 30 patients on both CT and MRI. Muscle-invasive UTUC prevalence was 81% (21/26) among patients with MRI suspicion and 8% (1/13) among those without MRI suspicion (p < 0.001). Considering the assessment of muscle-layer invasion, the more experienced reader achieved 95% sensitivity (95% confidence interval 82−100), 71% specificity (47−88), 81% PPV (63−93), 92% NPV (70−100), 85% accuracy (67−96), and 0.84 AUC (0.70−0.98). Inter-reader agreement was substantial (κ = 0.73).

Conclusions
MRI showed a promising diagnostic performance for the assessment of UTUC risk of muscle invasion.

Relevance statement
Resulting feasible both in technical and clinical terms, MRI could be helpful for upper tract urothelial carcinomas pre-operative risk stratification, to allow a personalized patients’ management. These results play in favor of promoting preoperative MRI for UTUC, as already proven for bladder cancer.

Key points
• Muscle invasion is a crucial information for tailored treatments of upper tract urothelial carcinomas.
• CT does not distinguish ureter wall layers, making muscle invasion risk assessment not feasible.
• MRI was shown to reliably diagnose muscle-layer invasion by upper tract urothelial carcinomas (sensitivity 95%, specificity 71%).

Graphical Abstract
Air quality and health impacts of the 2020 wildfires in California
Authors: Carreras-Sospedra Marc , Zhu Shupeng , MacKinnon Michael , Lassman William , Mirocha Jeffrey D. , Barbato Michele , Dabdub Donald 
Published: January 2024

Abstract
Background
Wildfires in 2020 ravaged California to set the annual record of area burned to date. Clusters of wildfires in Northern California surrounded the Bay Area covering the skies with smoke and raising the air pollutant concentrations to hazardous levels. This study uses the Fire Inventory from the National Center for Atmospheric Research database and the Community Multiscale Air Quality model to estimate the effects of wildfire emissions on air quality during the period from August 16 to October 28 of 2020. In addition, low-cost sensor data for fine particulate matter (PM2.5) from the PurpleAir network is used to enhance modeled PM2.5 concentrations. The resulting impacts on ozone and PM2.5 are used to quantify the health impacts caused by wildfires using the Benefits Mapping and Analysis Program – Community Edition.

Results
Wildfire activity significantly increased direct PM2.5 emissions and emissions of PM2.5 and ozone precursors. Direct PM2.5 emissions surged up to 38 times compared to an average day. Modeling results indicated that wildfires alone led to a rise in ozone daily maximum 8-h average by up to 10 ppb and exceeded PM2.5 air quality standards in numerous locations by up to 10 times. While modeled PM2.5 concentrations were lower than measurements, correcting these with PurpleAir data improved the accuracy. The correction using PurpleAir data increased estimates of wildfire-induced mortality due to PM2.5 exposure by up to 16%.

Conclusions
The increased hospital admissions and premature mortality attributed to wildfires were found to be comparable to the health impacts avoided by strategies aimed at meeting ozone and PM2.5 air quality standards. This suggests that widespread wildfire emissions can negate years of efforts dedicated to controlling air pollution. The integration of low-cost sensor data proved invaluable in refining the estimates of health impacts from PM2.5 resulting from wildfires.
Evaluation of the psychometric properties and convergent validity of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) questionnaire in Brazilian young adults
Authors: Neto Aristides Fernandes , Paviani Letícia , Sirtoli Rafaela , Guidoni Camilo M. , Girotto Edmarlon , Mesas Arthur Eumann , Rodrigues Renne 
Published: January 2024

Abstract
Background
This cross-sectional study aims to evaluate the psychometric properties and the convergent validity of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). Confirmatory factor analysis (CFA) and linear regression adjusted for confounding factors were performed to obtain the adjusted beta value (βadj) for sleep quality (Pittsburgh Sleep Quality Index), burnout (Copenhagen Burnout Inventory), and depressive symptoms (Patient Health Questionnaire-9).

Results
The study population consisted of 3187 young adult university students. The CFA indicated adequate fits for the one- and two-factor structure of the ASSIST, with better indices for the two-factor model. Convergent validity results confirmed the best fit of the one-factor model (version 3.1), in which individuals classified as “suggestive of dependence” showed a greater effect on worse sleep quality (βadj 2.16, 95% confidence interval (CI) 1.48–2.84), burnout (βadj 12.25, 95% CI 8.43–16.06), and depressive symptoms (βadj 6.69, 95% CI 5.37–8.00).

Conclusions
The results and the literature review indicated that the one-factor presents an adequate factor structure and better convergent validity.