bluuebunny/crossref_metadata_2025_split huggingface dataset:
Medical Students Can be Trained to be Life-Saving First Aid Instructors for Laypeople: A Feasibility Study from Gaza, Occupied Palestinian Territory
Authors: Ismail Anas , AlRayyes Maisara , Shatat Mohammed , Al Hafi Rajai , Heszlein-Lossius Hanne , Veronese Guido , Gilbert Mads 
Published: October 2019

AbstractIntroduction:Bystanders can improve the outcome in emergencies by activating the “chain of survival.” Gaza’s (Palestine) population has little, if any, access to training in Basic Life Support (BLS) and cardiopulmonary resuscitation (CPR). The goal was to recruit local medical students to be life-saving first aid instructors, and have them train 3,000 laypeople in BLS and CPR.Methods:One hundred and seventeen medical students from Al Azhar University-Gaza (Gaza City, Palestine) were trained as BLS and CPR instructors. Twelve training hours were delivered in practical BLS and CPR skills, plus four in communication and didactical skills, to enable training of laypeople. Students answered a questionnaire exploring demographics, prior training experience, expectations, and motivation to join the training. Teaching material were developed after the European Resuscitation Council (ERC; Niel, Belgium) guidelines and similar training at The Arctic University of Norway (Tromsø, Norway).Results:A total of 117 medical students (52.1% female; 47.9% male), from third through sixth year, completed training, and all were in their early twenties. Ninety-five (81.2%) agreed to answer the questionnaire. Of those, five students lost family members during Israeli military operations. Eighty-two (70.1%) never had hands-on first aid training. Seventy-six (80.0%) hoped the training would improve their community’s response to emergencies. With 58 training sessions completed, 1,312 laypeople (596 males; 716 females) were trained: 5.52 lay trainees per student instructor. The majority (n = 1,012; 77.1%) were school students aged 13–20 years.Conclusion:It is feasible to recruit local medical students for practical BLS and CPR trainings targeting laypeople in communities under stress. The training impact on local resilience and patients’ outcomes need further studies.
Understanding the use and impact of allied health services for people with chronic health conditions in Central and Eastern Sydney, Australia: a five-year longitudinal analysis
Authors: Barr Margo Linn , Welberry Heidi , Comino Elizabeth J. , Harris-Roxas Ben F. , Harris Elizabeth , Lloyd Jane , Whitney Sarah , O’Connor Claire , Hall John , Harris Mark Fort 
Published: October 2019

AbstractAim:To describe the characteristics of people in Central and Eastern Sydney (CES), NSW, who had a General Practice Management Plan (GPMP) and claimed for at least one private allied health service item; and to examine if allied health service use results in less hospitalisations over a five-year period.Background:The number of people living with chronic health conditions is increasing in Australia. The Chronic Disease Management programme was introduced to the Medicare Benefits Schedule (MBS) to provide a more structured approach to managing patients with chronic conditions and complex care needs. The programme supports general practitioners claiming up to one GPMP and one Team Care Arrangement every year, and the patient additionally claiming for up to five private allied health services visits.Methods:A prospective longitudinal study was conducted. The sample consisted of 5771 participants in CES who had a GPMP within a two-year health service utilisation baseline period (2007–2009). The analysis used the 45 and Up Study questionnaire data linked to the MBS, hospitalisation, death and emergency department data for the period 2006–2014.Findings:Of the eligible participants, 43% (2460) had at least one allied health service item claim in the subsequent 12 months. Allied health services were reported as physiotherapy, podiatry and other allied health services. The highest rates of allied health service use were among participants aged 85 years and over (49%). After controlling for confounding factors, a significant difference was found between having claimed for five or more physiotherapy services and emergency admissions (HR: 0.83; 95% CI: 0.72–0.95) and potentially preventable hospitalisations (HR: 0.79; 95% CI: 0.64–0.96) in the subsequent five years. Use of allied health service items was well targeted towards those with chronic and complex care needs, and use of physiotherapy services was associated with less avoidable hospitalisations.
Observational Evidence of Irrigation Influence on Vegetation Health and Land Surface Temperature in India
Authors: Ambika Anukesh Krishnankutty , Mishra Vimal 
Published: October 2019

AbstractIrrigated area in India has significantly increased after the green revolution. However, quantification of irrigation influence on vegetation health and land surface temperature (LST) remains limited. Here, we develop a high‐resolution (250 m) remotely sensed data of enhanced vegetation index (EVI) and LST from Moderate Resolution Imaging Spectroradiometer for 2000–2017 at the 8‐day temporal resolution for India to quantify the role of irrigation in the modulation of EVI, LST, and vegetation health. We show that irrigation‐dominated regions have significantly (p value < 0.05) higher EVI and cooler (1–2 K) LST during the crop‐growing season in the Indo‐Gangetic Plain. Vegetation health in highly irrigated areas is poorly correlated with meteorological drought primarily due to irrigation. Moreover, vegetation health is negatively correlated with groundwater storage anomalies in the highly irrigated Indo‐Gangetic Plain. Irrigation in Indo‐Gangetic Plain modulated EVI, LST, and vegetation health and resulted in groundwater depletion during 2002–2016.
Cold Plasmaspheric Electrons Affected by ULF Waves in the Inner Magnetosphere: A Van Allen Probes Statistical Study
Authors: Ren Jie , Zong Q. G. , Zhou X. Z. , Spence H. E. , Funsten H. O. , Wygant J. R. , Rankin R. 
Published: October 2019

AbstractSix years of Van Allen Probes data are used to investigate cold plasmaspheric electrons affected by ultralow‐frequency (ULF) waves in the inner magnetosphere (L<7) including spatial distributions, occurrence conditions, and resonant energy range. Events exhibit a global distribution within L= 4–7 but preferentially occur at L∼5.5–7 in the dayside, while there is higher occurrence rate in the duskside than dawnside. They can occur under different geomagnetic activities and solar wind velocities (VS), but the occurrence rates are increasing with larger AE, |SYMH|, and VS. These features are closely associated with the generation and propagation of ULF waves in Pc4 (45–150 s) and Pc5 (150–600 s) bands. Combined with electron observations from HOPE instrument, the resonant energies inferred from wave power indicate that cold electrons at ones to hundreds of electron volts can be affected by ULF waves. This study may shed new light on further investigations on the acceleration and transportation of cold plasmaspheric particles that would affect plasmaspheric material release to the Earth's magnetosphere and instabilities for exciting various waves.
Subseasonal to Seasonal Prediction of Wintertime Northern Hemisphere Extratropical Cyclone Activity by S2S and NMME Models
Authors: Zheng Cheng , Chang Edmund Kar‐Man , Kim Hyemi , Zhang Minghua , Wang Wanqiu 
Published: October 2019

AbstractIn this study, the prediction of wintertime extratropical cyclone activity from subseasonal to seasonal timescale in current dynamical models' reforecasts is investigated. On seasonal time scales, the North American Multi‐Model Ensemble (NMME) models show skillful predictions over the eastern North Pacific, North America and the western North Atlantic with at least 5 months lead. The prediction skill is highly related to El Nino‐Southern Oscillation (ENSO), as using the ENSO‐related SST pattern gives rise to prediction skill with very similar spatial pattern and amplitude. On subseasonal time scales, models in the Seasonal to Sub‐seasonal Prediction (S2S) dataset have skillful predictions up to 4 weeks lead over regions from the eastern North Pacific to the western Atlantic, as well as northern Europe, the eastern Atlantic and East Asia. Generally, forecast skill improves with a larger ensemble size. The subseasonal prediction skill from the Pacific to the western Atlantic is related to ENSO, and that over eastern Atlantic, Europe and East Asia are associated with stratospheric polar vortex anomalies. Current models do not show much skill from the Madden‐Julian Oscillation (MJO), as the MJO impact on extratropical cyclone activity is not well captured by the models. European Centre for Medium‐Range Weather Forecasts (ECMWF) model has the highest single model subseasonal prediction skill. The prediction skill in the ECMWF model is higher than its estimated potential predictability, likely because the signal‐to‐noise ratio is too low in the model hindcasts.
The protein kinase CK2 contributes to the malignant phenotype of cholangiocarcinoma cells
Authors: Di Maira Giovanni , Gentilini Alessandra , Pastore Mirella , Caligiuri Alessandra , Piombanti Benedetta , Raggi Chiara , Rovida Elisabetta , Lewinska Monika , Andersen Jesper B. , Borgo Christian , Salvi Mauro , Ottaviani Daniele , Ruzzene Maria , Marra Fabio 
Published: October 2019

AbstractCholangiocarcinoma (CCA) is a particularly aggressive hepatobiliary malignancy, for which the molecular mechanisms underlying the malignant phenotype are still poorly understood, and novel and effective therapeutic strategies are limited. The pro-survival protein kinase CK2 is frequently overexpressed in cancer and is receiving increasing interest as an anti-tumor drug target. Its precise role in CCA biology is still largely unknown. Here we show that expression of the CK2α and α’ catalytic subunits and of the β regulatory subunit is increased in human CCA samples. Increased expression of CK2 subunits was shown in CCA cell lines compared to non-transformed cholangiocytes. We used chemical inhibition of CK2 and genetic modification by CRISPR/Cas9 to explore the contribution of CK2 to the malignant phenotype of CCA cells. Disruption of CK2 activity results in cell death through apoptosis, reduced invasion and migration potential, and G0/G1 cell cycle arrest. Importantly, CCA cells with a reduced CK2 activity are more sensitive to chemotherapy. Altogether, our results demonstrate that CK2 significantly contributes to increased proliferative potential and augmented growth of CCA cells and indicate the rationale for its targeting as a promising pharmacologic strategy for cholangiocarcinoma.
Corticotropin releasing factor-binding protein (CRF-BP) as a potential new therapeutic target in Alzheimer’s disease and stress disorders
Authors: Vandael Dorien , Gounko Natalia V. 
Published: October 2019

AbstractAlzheimer’s disease is the most common cause of dementia and one of the most complex human neurodegenerative diseases. Numerous studies have demonstrated a critical role of the environment in the pathogenesis and pathophysiology of the disease, where daily life stress plays an important role. A lot of epigenetic studies have led to the conclusion that chronic stress and stress-related disorders play an important part in the onset of neurodegenerative disorders, and an enormous amount of research yielded valuable discoveries but has so far not led to the development of effective treatment strategies for Alzheimer’s disease. Corticotropin-releasing factor (CRF) is one of the major hormones and at the same time a neuropeptide acting in stress response. Deregulation of protein levels of CRF is involved in the pathogenesis of Alzheimer’s disease, but little is known about the precise roles of CRF and its binding protein, CRF-BP, in neurodegenerative diseases. In this review, we summarize the key evidence for and against the involvement of stress-associated modulation of the CRF system in the pathogenesis of Alzheimer’s disease and discuss how recent findings could lead to new potential treatment possibilities in Alzheimer’s disease by using CRF-BP as a therapeutic target.
Examining the association between genetic liability for schizophrenia and psychotic symptoms in Alzheimer’s disease
Authors: Creese Byron , Vassos Evangelos , Bergh Sverre , Athanasiu Lavinia , Johar Iskandar , Rongve Arvid , Medbøen Ingrid Tøndel , Vasconcelos Da Silva Miguel , Aakhus Eivind , Andersen Fred , Bettella Francesco , Braekhus Anne , Djurovic Srdjan , Paroni Giulia , Proitsi Petroula , Saltvedt Ingvild , Seripa Davide , Stordal Eystein , Fladby Tormod , Aarsland Dag , Andreassen Ole A. , Ballard Clive , Selbaek Geir ,   on behalf of the AddNeuroMed consortium and the Alzheimer’s Disease Neuroimaging Initiative
Published: October 2019

AbstractPsychosis (delusions or hallucinations) in Alzheimer’s disease (AD + P) occurs in up to 50% of individuals and is associated with significantly worse clinical outcomes. Atypical antipsychotics, first developed for schizophrenia, are commonly used in AD + P, suggesting shared mechanisms. Despite this implication, little empirical research has been conducted to examine whether there are mechanistic similarities between AD + P and schizophrenia. In this study, we tested whether polygenic risk score (PRS) for schizophrenia was associated with AD + P. Schizophrenia PRS was calculated using Psychiatric Genomics Consortium data at ten GWAS p value thresholds (PT) in 3111 AD cases from 11 cohort studies characterized for psychosis using validated, standardized tools. Association between PRS and AD + P status was tested by logistic regression in each cohort individually and the results meta-analyzed. The schizophrenia PRS was associated with AD + P at an optimum PT of 0.01. The strongest association was for delusions where a one standard deviation increase in PRS was associated with a 1.18-fold increased risk (95% CI: 1.06–1.3; p = 0.001). These new findings point towards psychosis in AD—and particularly delusions—sharing some genetic liability with schizophrenia and support a transdiagnostic view of psychotic symptoms across the lifespan.
Coffee intake and decreased amyloid pathology in human brain
Authors: Kim Jee Wook , Byun Min Soo , Yi Dahyun , Lee Jun Ho , Jeon So Yeon , Jung Gijung , Lee Han Na , Sohn Bo Kyung , Lee Jun-Young , Kim Yu Kyeong , Shin Seong A , Sohn Chul-Ho , Lee Dong Young ,   for the KBASE Research Group
Published: October 2019

AbstractSeveral epidemiological and preclinical studies supported the protective effect of coffee on Alzheimer’s disease (AD). However, it is still unknown whether coffee is specifically related with reduced brain AD pathologies in human. Hence, this study aims to investigate relationships between coffee intake and in vivo AD pathologies, including cerebral beta-amyloid (Aβ) deposition, the neurodegeneration of AD-signature regions, and cerebral white matter hyperintensities (WMH). A total of 411 non-demented older adults were included. Participants underwent comprehensive clinical assessment and multimodal neuroimaging including [11C] Pittsburgh compound B-positron emission tomography (PET), [18F] fluorodeoxyglucose PET, and magnetic resonance imaging scans. Lifetime and current coffee intake were categorized as follows: no coffee or <2 cups/day (reference category) and ≥2 cups/day (higher coffee intake). Lifetime coffee intake of ≥2 cups/day was significantly associated with a lower Aβ positivity compared to coffee intake of <2 cups/day, even after controlling for potential confounders. In contrast, neither lifetime nor current coffee intake was not related to hypometabolism, atrophy of AD-signature region, and WMH volume. The findings suggest that higher lifetime coffee intake may contribute to lowering the risk of AD or related cognitive decline by reducing pathological cerebral amyloid deposition.
Recommendations and future directions for supervised machine learning in psychiatry
Authors: Cearns Micah , Hahn Tim , Baune Bernhard T. 
Published: October 2019

AbstractMachine learning methods hold promise for personalized care in psychiatry, demonstrating the potential to tailor treatment decisions and stratify patients into clinically meaningful taxonomies. Subsequently, publication counts applying machine learning methods have risen, with different data modalities, mathematically distinct models, and samples of varying size being used to train and test models with the promise of clinical translation. Consequently, and in part due to the preliminary nature of such works, many studies have reported largely varying degrees of accuracy, raising concerns over systematic overestimation and methodological inconsistencies. Furthermore, a lack of procedural evaluation guidelines for non-expert medical professionals and funding bodies leaves many in the field with no means to systematically evaluate the claims, maturity, and clinical readiness of a project. Given the potential of machine learning methods to transform patient care, albeit, contingent on the rigor of employed methods and their dissemination, we deem it necessary to provide a review of current methods, recommendations, and future directions for applied machine learning in psychiatry. In this review we will cover issues of best practice for model training and evaluation, sources of systematic error and overestimation, model explainability vs. trust, the clinical implementation of AI systems, and finally, future directions for our field.
Correction: SOCS5 inhibition induces autophagy to impair metastasis in hepatocellular carcinoma cells via the PI3K/Akt/mTOR pathway
Authors: Zhang Mao , Liu Shihai , Chua Mei-Sze , Li Haoran , Luo Dingan , Wang Sheng , Zhang Shun , Sun Chuandong , Han Bing 
Published: October 2019

Following publication of this article [1], it was realized that an error was made in typesetting which resulted in a change in the ordering of the last two authors. The correct ordering of the authors for the paper is as follows:Mao Zhang, Shihai Liu, Mei-Sze Chua, Haoran Li, Dingan Luo, Sheng Wang, Shun Zhang, Chuandong Sun (*) & Bing Han (*)[(*) indicates corresponding author]An amendment to this paper has been published and can be accessed via a link at the top of the paper.
MLH1 deficiency leads to deregulated mitochondrial metabolism
Authors: Rashid Sukaina , Freitas Marta O. , Cucchi Danilo , Bridge Gemma , Yao Zhi , Gay Laura , Williams Marc , Wang Jun , Suraweera Nirosha , Silver Andrew , McDonald Stuart A. C. , Chelala Claude , Szabadkai Gyorgy , Martin Sarah A. 
Published: October 2019

AbstractThe DNA mismatch repair (MMR) pathway is responsible for the repair of base–base mismatches and insertion/deletion loops that arise during DNA replication. MMR deficiency is currently estimated to be present in 15–17% of colorectal cancer cases and 30% of endometrial cancers. MLH1 is one of the key proteins involved in the MMR pathway. Inhibition of a number of mitochondrial genes, including POLG and PINK1 can induce synthetic lethality in MLH1-deficient cells. Here we demonstrate for the first time that loss of MLH1 is associated with a deregulated mitochondrial metabolism, with reduced basal oxygen consumption rate and reduced spare respiratory capacity. Furthermore, MLH1-deficient cells display a significant reduction in activity of the respiratory chain Complex I. As a functional consequence of this perturbed mitochondrial metabolism, MLH1-deficient cells have a reduced anti-oxidant response and show increased sensitivity to reactive oxidative species (ROS)-inducing drugs. Taken together, our results provide evidence for an intrinsic mitochondrial dysfunction in MLH1-deficient cells and a requirement for MLH1 in the regulation of mitochondrial function.
EPHB4 inhibition activates ER stress to promote immunogenic cell death of prostate cancer cells
Authors: Sagar Vinay , Vatapalli Rajita , Lysy Barbara , Pamarthy Sahithi , Anker Jonathan F. , Rodriguez Yara , Han Huiying , Unno Kenji , Stadler Walter M. , Catalona William J. , Hussain Maha , Gill Parkash S. , Abdulkadir Sarki A. 
Published: October 2019

AbstractThe EPHB4 receptor is implicated in the development of several epithelial tumors and is a promising therapeutic target, including in prostate tumors in which EPHB4 is overexpressed and promotes tumorigenicity. Here, we show that high expression of EPHB4 correlated with poor survival in prostate cancer patients and EPHB4 inhibition induced cell death in both hormone sensitive and castration-resistant prostate cancer cells. EPHB4 inhibition reduced expression of the glucose transporter, GLUT3, impaired glucose uptake, and reduced cellular ATP levels. This was associated with the activation of endoplasmic reticulum stress and tumor cell death with features of immunogenic cell death (ICD), including phosphorylation of eIF2α, increased cell surface calreticulin levels, and release of HMGB1 and ATP. The changes in tumor cell metabolism after EPHB4 inhibition were associated with MYC downregulation, likely mediated by the SRC/p38 MAPK/4EBP1 signaling cascade, known to impair cap-dependent translation. Together, our study indicates a role for EPHB4 inhibition in the induction of immunogenic cell death with implication for prostate cancer therapy.
Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome
Authors: Karaman Emre , Lund Mogens S. , Su Guosheng 
Published: October 2019

AbstractWidely used genomic prediction models may not properly account for heterogeneous (co)variance structure across the genome. Models such as BayesA and BayesB assume locus-specific variance, which are highly influenced by the prior for (co)variance of single nucleotide polymorphism (SNP) effect, regardless of the size of data. Models such as BayesC or GBLUP assume a common (co)variance for a proportion (BayesC) or all (GBLUP) of the SNP effects. In this study, we propose a multi-trait Bayesian whole genome regression method (BayesN0), which is based on grouping a number of predefined SNPs to account for heterogeneous (co)variance structure across the genome. This model was also implemented in single-step Bayesian regression (ssBayesN0). For practical implementation, we considered multi-trait single-step SNPBLUP models, using (co)variance estimates from BayesN0 or ssBayesN0. Genotype data were simulated using haplotypes on first five chromosomes of 2200 Danish Holstein cattle, and phenotypes were simulated for two traits with heritabilities 0.1 or 0.4, assuming 200 quantitative trait loci (QTL). We compared prediction accuracy from different prediction models and different region sizes (one SNP, 100 SNPs, one chromosome or whole genome). In general, highest accuracies were obtained when 100 adjacent SNPs were grouped together. The ssBayesN0 improved accuracies over BayesN0, and using (co)variance estimates from ssBayesN0 generally yielded higher accuracies than using (co)variance estimates from BayesN0, for the 100 SNPs region size. Our results suggest that it could be a good strategy to estimate (co)variance components from ssBayesN0, and then to use those estimates in genomic prediction using multi-trait single-step SNPBLUP, in routine genomic evaluations.