bluuebunny/crossref_metadata_2025_split huggingface dataset:
Treatment gap and mental health service use among Syrian refugees in Sultanbeyli, Istanbul: a cross-sectional survey
Authors: Fuhr D. C. , Acarturk C. , McGrath M. , Ilkkursun Z. , Sondorp E. , Sijbrandij M. , Ventevogel P. , Cuijpers P. , McKee M. , Roberts B. 
Published: November 2019

Abstract

Aims
Syrian refugees may have increased mental health needs due to the frequent exposure to potentially traumatic events and violence experienced during the flight from their home country, breakdown of supportive social networks and daily life stressors related to refugee life. The aim of this study is to report evidence on mental health needs and access to mental health and psychosocial support (MHPSS) among Syrians refugees living in Sultanbeyli-Istanbul, Turkey.

Methods
A cross-sectional survey was conducted among Syrian refugees aged 18 years or over in Sultanbeyli between February and May 2018. We used random sampling to select respondents by using the registration system of the municipality. Data among 1678 Syrian refugees were collected on mental health outcomes using the Posttraumatic Stress Disorder (PTSD) Checklist (PCL-5) and the Hopkins Symptoms Checklist (HSCL-25) for depression and anxiety. We also collected data on health care utilisation, barriers to seeking and continuing care as well as knowledge and attitudes towards mental health. Descriptive analyses were used.

Results
The estimated prevalence of symptoms of PTSD, depression and anxiety was 19.6, 34.7 and 36.1%, respectively. In total, 249 respondents (15%) screened positive for either PTSD, depression or anxiety in our survey and self-reported emotional/behavioural problems since arriving in Sultanbeyli. The treatment gap (the proportion of these 249 people who did not seek care) was 89% for PTSD, 90% for anxiety and 88% for depression. Several structural and attitudinal barriers for not seeking care were reported, including the cost of mental health care, the belief that time would improve symptoms, fear of being stigmatised and lack of knowledge on where and how to get help. Some negative attitudes towards people with mental health problems were reported by respondents.

Conclusions
Syrian refugees hardly access MHPSS services despite high mental health needs, and despite formally having access to the public mental health system in Turkey. To overcome the treatment gap, MHPSS programmes need to be implemented in the community and need to overcome the barriers to seeking care which were identified in this study. Mental health awareness raising activities should be provided in the community alongside the delivery of psychological interventions. This is to increase help-seeking and to tackle negative attitudes towards mental health and people with mental health problems.
Application of B, Mg, Li, and Sr Isotopes in Acid‐Sulfate Vent Fluids and Volcanic Rocks as Tracers for Fluid‐Rock Interaction in Back‐Arc Hydrothermal Systems
Authors: Wilckens Frederike K. , Reeves Eoghan P. , Bach Wolfgang , Seewald Jeffrey S. , Kasemann Simone A. 
Published: November 2019

AbstractThe Manus Basin hosts a broad range of vent fluid compositions typical for arc and back‐arc settings, ranging from black smoker to acid‐sulfate styles of fluid venting, as well as novel intermediate temperature and composition “hybrid” smokers. We investigated B, Li, Mg, and Sr concentrations and isotopic compositions of these different fluid types as well as of fresh and altered rocks from the same study area to understand what controls their compositional variability. In particular, the formation of acid‐sulfate and hybrid smoker fluids is still poorly understood, and their high Mg concentrations are explained either by dissolution of Mg‐bearing minerals in the basement or by mixing between unmodified seawater and magmatic fluids. Mg isotope ratios of the acid‐sulfate fluids from the Manus Basin are seawater‐like, which supports the idea that acid‐sulfate fluids in this study area predominantly form by mixing between unmodified seawater and a Mg‐free magmatic fluid. Changes in the B, Li, and Sr isotope ratios relative to seawater indicate water‐rock interaction in all acid‐sulfate fluids. Further, the combination of δ7Li with B concentrations of the same fluids links changes in δ7Li to changes in (1) basement alteration, (2) water‐to‐rock ratios during water‐rock interaction, and/or (3) the reaction temperature. These isotope systems, thus, allow tracing of basement composition and acid‐sulfate‐driven alteration of the back‐arc crust and help increase our understanding of hydrothermal fluid‐rock interactions and the behavior of fluid‐mobile elements.
Separating Emission and Meteorological Drivers ofMid‐21st‐Century Air Quality Changes in IndiaBased on Multiyear Global‐RegionalChemistry‐Climate Simulations
Authors: Wu Xiaokang , Xu Yangyang , Kumar Rajesh , Barth Mary 
Published: November 2019

AbstractMany Indian metropolitan areas currently suffer from severe air pollution such as PM2.5, which might continue into future decades, dependent on the trends in emission growth and regional climate. Based on a multiyear Nested Regional Climate Model coupled with Chemistry simulation, we developed a daily index (Hazy Weather Index for India, HWII) to characterize the meteorology‐pollution relationship over three heavily polluted cities (Delhi, Kolkata, and Mumbai) and Indo‐Gangetic Plain. HWII consists of near‐surface (10 m) zonal wind (U10) and temperature at 200 hPa (T200) over the northwestern Indian Ocean, and local planetary boundary layer height. The simulated PM2.5 levels during the Historical Period (1997–2004) exhibit robust negative correlation with the HWII. The negative correlation captures day‐to‐day covariability of surface PM2.5 and meteorology, highlighting the role of monsoon‐related large‐scale circulation in redistributing locally emitted pollutants. More importantly, two future (2046–2054) simulations with regional warming under the Representative Concentration Pathway 6.0 and 8.5 were analyzed. The future changes in HWII and the three predictive meteorological variables work in favor of a stronger pollution horizontal dispersion and vertical ventilation and thus could lead to a reduction of PM2.5 level by 7%. The meteorology‐driven reduction in PM2.5, however, is overwhelmed by the projected growth in anthropogenic emission (especially under Representative Concentration Pathway 8.5 emission by 31%). Our results are contrary to previous studies over other regions (e.g., China) where future climate change might contribute to PM2.5 increase.
Impact of Lake Surface Temperature Variations on Lake Effect Snow Over the Great Lakes Region
Authors: Shi Qi , Xue Pengfei 
Published: November 2019

AbstractA high‐resolution three‐dimensional Weather Research and Forecasting (WRF) model is used to investigate the coupled impact of lake surface temperature (LST) and surface wind on the lake effect snow (LES) over the Great Lakes region. A set of twin WRF simulations, with and without resolving LST spatial variations in the model's surface boundary condition, is performed to quantify the impact of LST variation on LES. Both observations and model results reveal a positive correlation between the downwind LST gradient and surface wind convergence over the Great Lakes region. Furthermore, model simulations show that resolving the spatial variation of LST increases the surface wind convergence, correspondingly enhances local vertical motions in the atmospheric boundary layer, and creates favorable conditions for the LES formation on the lee sides of the Great Lakes. The contribution of LST spatial variations to the increase in precipitation on the lee sides of the lakes varies between 5% and 30% in individual LES events. The increase in the winter‐mean snow water equivalent due to LST spatial variations is between 3% and 15%. The most significant impact of LST variation on the winter‐mean snow water equivalent is on the lee side of Lake Huron.
Imbrium Age for Zircons in Apollo 17 South Massif Impact Melt Breccia 73155
Authors: Zhang Bidong , Lin Yangting , Moser Desmond E. , Hao Jialong , Shieh Sean R. , Bouvier Audrey 
Published: November 2019

AbstractThe Apollo 17 poikilitic impact melt breccias were initially interpreted to be directly related to the Serenitatis basin formation. Here we present petrological, geochemical, and U‐Pb geochronological investigations of the poikilitic impact melt of Apollo 73155,69 which was sampled from the South Massif of the Taurus‐Littrow valley. Nanoscale secondary ion mass spectrometry analyses of well‐preserved poikilitic zircons from sample 73155,69 yield a uniform 207Pb/206Pb age population with a weighted mean age of 3921 ± 14 Ma. The zircons have distinctly high concentrations of Y (3279−6347 ppm) and Th (254−302 ppm) compared with other Apollo 17 zircons. These characteristics, together with their textures, are remarkably similar to those of zircons from high‐Th melt breccias from Apollo 12 samples and lunar meteorite Sayh al Uhaymir 169 attributed to the formation of the high‐Th deposits of the Imbrium basin. We therefore propose an Imbrium provenance for melt component in 73155,69. Our results provide new evidence for components of Imbrium‐type ejecta occurring among the South Massif breccias. Consequently, the Apollo 17 poikilitic impact melt breccias may not represent Serenitatis ejecta.
Selective Preservation of Coccolith Calcite in Ontong‐Java Plateau Sediments
Authors: Subhas Adam V. , McCorkle Daniel C. , Quizon Alex , McNichol Ann P. , Long Matthew H. 
Published: November 2019

AbstractDissolution of calcite in deep ocean sediments, which is required to balance global marine CaCO3 production and burial fluxes, is still a poorly understood process. In order to assess the mechanisms of dissolution in sediments, we analyzed four multicore tops taken along a depth transect on the Ontong‐Java Plateau. These cores were taken directly on the equator, and span water column calcite saturation states from ∼0.93 to ∼0.74, allowing us to assess the effect of dissolution on carbonate sediment composition. The top 2 cm of each multicore was sectioned and sieved to separate coccolith from foraminiferal calcite, and the %CaCO3, δ13C, Δ14C, and Mg/Ca were evaluated. The mass ratio of coccoliths to foraminifera increases by a factor of 3 as a function of water depth, reflecting the preferential dissolution of foraminifera. Carbon isotope (δ13C and Δ14C) data suggest that most dissolution takes place at the sediment‐water interface and primarily affects foraminifera. Mg/Ca analyses indicate that the Mg content of the entire foraminiferal assemblage decreases as a function of dissolution. In contrast, coccolith dissolution takes place within the sediments, rather than at the interface. Together these two processes cause coccoliths to be up to 1,000 radiocarbon years younger than foraminifera from the same depth horizon. Despite this within‐sediment coccolith dissolution flux, sediments below the calcite saturation horizon remain enriched in coccolith calcite. Combined with global seafloor hypsometry and calcium carbonate content, this enrichment suggests that globally, coccoliths may outweigh foraminifera in deep ocean sediments by a factor of 1.8.
Advances in Quantifying Streamflow Variability Across Continental Scales: 2. Improved Model Regionalization and Prediction Uncertainties Using Hierarchical Bayesian Methods
Authors: Alexander Richard B. , Schwarz Gregory E. , Boyer Elizabeth W. 
Published: November 2019

AbstractThe precise estimation of process effects in hydrological models requires applying models to large scales with extensive spatial variability in controlling factors. Despite progress in large‐scale applications of hydrological models in conterminous United States (CONUS) river basins, spatial constraints in model parameters have prevented the interbasin sharing of data, complicating quantification of process effects and limiting the accuracy of model predictions and uncertainties. Hierarchical Bayesian methods enable data sharing between basins and the identification of the causes of model uncertainties, which can improve model accuracy and interpretability; however, computational inefficiencies have been an obstacle to their large‐scale application. We used a new generation of Bayesian methods to develop a hierarchical version of a previous hybrid (statistical‐mechanistic) SPAtially Referenced Regression On Watershed attributes model of long‐term mean annual streamflow in the CONUS. We identified hierarchical (regional) variations in model coefficients and uncertainties and evaluated their effects on model accuracy and interpretability across diverse environments in 16 major CONUS regions. Hierarchical coefficients significantly improved spatial accuracy of model predictions, with the largest improvements in humid eastern regions, where uncertainties were approximately one third of those in arid western regions. Half of the coefficients varied regionally, with the largest variations in coefficients associated with water losses in streams and reservoirs. Our unraveling of the causes of model uncertainties identified a small latent process component of runoff that varies inversely with river size in most CONUS regions. Our study advances the use of hierarchical Bayesian methods to improve the predictive capabilities of hydrological models.
Modeling the Effect of Hyporheic Mixing on Stream Solute Transport
Authors: Bottacin‐Busolin Andrea 
Published: November 2019

AbstractMixing in the hyporheic zone plays a key role in controlling the fate and transport of contaminants in streams and rivers. Consistently with recent experimental and numerical results, a physically based one‐dimensional solute transport model is presented that represents hyporheic mixing as a diffusion process exponentially attenuated with depth. When vertical diffusion in the sediment bed is not limited by an impermeable boundary, the moments of the breakthrough curves (BTCs) generated by the model exhibit persistent non‐Fickian behavior and are shown to scale consistently with existing experimental evidence. The ability of the exponentially attenuated mixing model to represent experimental BTCs was tested using data from field and flume tracer experiments, and its performance was compared with that of a classic two‐storage zone model. While both models provided an equally good approximation for the BTCs observed in field tracer tests, the exponentially attenuated mixing model provided better fits for the flume experiments. Analysis of the model equations and their solutions shows that, if the flow cross‐sectional area and wetted perimeter are not predetermined, there are infinite sets of parameter values that produce the same space‐time concentration distributions. The result implies that the physical parameters of hyporheic exchange cannot be determined by sole measurements of the solute BTCs in the surface water unless flow cross‐sectional area and average flow depth can be independently estimated.
Mitochondrial NDUFA4L2 attenuates the apoptosis of nucleus pulposus cells induced by oxidative stress via the inhibition of mitophagy
Authors: Xu Wen-Ning , Zheng Huo-Liang , Yang Run-Ze , Liu Tao , Yu Wei , Zheng Xin-Feng , Li Bo , Jiang Sheng-Dan , Jiang Lei-Sheng 
Published: November 2019

AbstractThe main pathological mechanism of intervertebral disc degeneration (IVDD) is the programmed apoptosis of nucleus pulposus (NP) cells. Oxidative stress is a significant cause of IVDD. Whether mitophagy is induced by strong oxidative stress in IVDD remains to be determined. This study aimed to investigate the relationship between oxidative stress and mitophagy and to better understand the mechanism of IVDD in vivo and in vitro. To this end, we obtained primary NP cells from the human NP and subsequently exposed them to TBHP. We observed that oxidative stress induced mitophagy to cause apoptosis in NP cells, and we suppressed mitophagy and found that NP cells were protected against apoptosis. Interestingly, TBHP resulted in mitophagy through the inhibition of the HIF-1α/NDUFA4L2 pathway. Therefore, the upregulation of mitochondrial NDUFA4L2 restricted mitophagy induced by oxidative stress. Furthermore, the expression levels of HIF-1α and NDUFA4L2 were decreased in human IVDD. In conclusion, these results demonstrated that the upregulation of NDUFA4L2 ameliorated the apoptosis of NP cells by repressing excessive mitophagy, which ultimately alleviated IVDD. These findings show for the first time that NDUFA4L2 and mitophagy may be potential therapeutic targets for IVDD.
MCL-1 antagonism enhances the anti-invasive effects of dasatinib in pancreatic adenocarcinoma
Authors:   Australian Pancreatic Cancer Genome Initiative (APGI), Castillo Lesley , Young Adelaide I. J. , Mawson Amanda , Schafranek Pia , Steinmann Angela M. , Nessem Danielle , Parkin Ashleigh , Johns Amber , Chou Angela , Law Andrew M. K. , Lucas Morghan C. , Murphy Kendelle J. , Deng Niantao , Gallego-Ortega David , Caldon Catherine E. , Timpson Paul , Pajic Marina , Ormandy Christopher J. , Oakes Samantha R. 
Published: November 2019

AbstractPancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest malignancies. It is phenotypically heterogeneous with a highly unstable genome and provides few common therapeutic targets. We found that MCL1, Cofilin1 (CFL1) and SRC mRNA were highly expressed by a wide range of these cancers, suggesting that a strategy of dual MCL-1 and SRC inhibition might be efficacious for many patients. Immunohistochemistry revealed that MCL-1 protein was present at high levels in 94.7% of patients in a cohort of PDACs from Australian Pancreatic Genome Initiative (APGI). High MCL1 and Cofilin1 mRNA expression was also strongly predictive of poor outcome in the TCGA dataset and in the APGI cohort. In culture, MCL-1 antagonism reduced the level of the cytoskeletal remodeling protein Cofilin1 and phosphorylated SRC on the active Y416 residue, suggestive of reduced invasive capacity. The MCL-1 antagonist S63845 synergized with the SRC kinase inhibitor dasatinib to reduce cell viability and invasiveness through 3D-organotypic matrices. In preclinical murine models, this combination reduced primary tumor growth and liver metastasis of pancreatic cancer xenografts. These data suggest that MCL-1 antagonism, while reducing cell viability, may have an additional benefit in increasing the antimetastatic efficacy of dasatinib for the treatment of PDAC.
Implementing machine learning in bipolar diagnosis in China
Authors: Ma Yantao , Ji Jun , Huang Yun , Gao Huimin , Li Zhiying , Dong Wentian , Zhou Shuzhe , Zhu Yue , Dang Weimin , Zhou Tianhang , Yu Haiqing , Yu Bin , Long Yuefeng , Liu Long , Sachs Gary , Yu Xin 
Published: November 2019

AbstractBipolar disorder (BPD) is often confused with major depression, and current diagnostic questionnaires are subjective and time intensive. The aim of this study was to develop a new Bipolar Diagnosis Checklist in Chinese (BDCC) by using machine learning to shorten the Affective Disorder Evaluation scale (ADE) based on an analysis of registered Chinese multisite cohort data. In order to evaluate the importance of each item of the ADE, a case-control study of 360 bipolar disorder (BPD) patients, 255 major depressive disorder (MDD) patients and 228 healthy (no psychiatric diagnosis) controls (HCs) was conducted, spanning 9 Chinese health facilities participating in the Comprehensive Assessment and Follow-up Descriptive Study on Bipolar Disorder (CAFÉ-BD). The BDCC was formed by selected items from the ADE according to their importance as calculated by a random forest machine learning algorithm. Five classical machine learning algorithms, namely, a random forest algorithm, support vector regression (SVR), the least absolute shrinkage and selection operator (LASSO), linear discriminant analysis (LDA) and logistic regression, were used to retrospectively analyze the aforementioned cohort data to shorten the ADE. Regarding the area under the receiver operating characteristic (ROC) curve (AUC), the BDCC had high AUCs of 0.948, 0.921, and 0.923 for the diagnosis of MDD, BPD, and HC, respectively, despite containing only 15% (17/113) of the items from the ADE. Traditional scales can be shortened using machine learning analysis. By shortening the ADE using a random forest algorithm, we generated the BDCC, which can be more easily applied in clinical practice to effectively enhance both BPD and MDD diagnosis.
HIC-5 in cancer-associated fibroblasts contributes to esophageal squamous cell carcinoma progression
Authors: Du Xuanling , Xu Qiping , Pan Duyi , Xu Dongke , Niu Baolin , Hong Wenting , Zhang Rui , Li Xiaobo , Chen Shiyao 
Published: November 2019

AbstractEsophageal squamous cell carcinoma (ESCC) remains one of the most common malignancies in China and has a high metastasis rate and poor prognosis. Cancer-associated fibroblasts (CAFs), a prominent component of the tumor microenvironment, can affect tumor progression and metastasis, but the underlying mechanism remains unclear. There are no studies that explore the role of hydrogen peroxide-inducible clone 5 (HIC-5) in ESCC or compare the role of HIC-5 in CAFs and adjacent noncancerous normal fibroblasts (NFs). In this study, we isolated primary CAFs and NFs from ESCC patients. HIC-5 was highly expressed in CAFs from the tumor stroma of human ESCC patients. HIC-5 knockdown in CAFs inhibited the migration and invasion of ESCC cells in vitro. Supernatant CCL2 levels of CAFs were significantly higher after TGF-β stimulation and lower after knocking down HIC-5 expression, independent of TGF-β treatment. HIC-5 knockdown in CAFs led xenograft tumors derived from ESCC cells mixed with CAFs to present more regular morphology, express higher CDH1, and lower CCL2. Further RNA-seq data showed that HIC-5 has distinct biological functions in CAFs vs. NFs, especially in cell movement and the Rho GTPase signaling kinase pathway, which was verified by wound-healing assays and western blotting. An ESCC tissue microarray revealed that increased HIC-5 expression in the tumor stroma was associated with positive lymph node metastasis and a higher TNM stage. In summary, we identified that stromal HIC-5 was a predictive risk factor for lymph node metastasis in human ESCC and that CAF-derived HIC-5 regulated ESCC cell migration and invasion by regulating cytokines and modifying the ECM.
A novel dual-adhesive and bioactive hydrogel activated by bioglass for wound healing
Authors: Gao Long , Zhou Yanling , Peng Jinliang , Xu Chen , Xu Qing , Xing Min , Chang Jiang 
Published: November 2019

AbstractDual adhesiveness to tissue and implant biomaterials and bioactivity to stimulate tissue regeneration are interesting properties for developing new generations of tissue-repairing hydrogels with potential new clinical applications. In this study, we developed a unique bioglass (BG)/oxidized sodium alginate (OSA) composite hydrogel with adipic acid dihydrazide (ADH)-modified γ-polyglutamic acid (γ-PGA) as the cross-linking agent, in which the BG plays a multifunctional role to endow the hydrogel‍ with both dual-adhesive and bioactive properties. On one hand, the BG could improve the tissue-bonding strength by providing an alkaline microenvironment to stimulate the bond formation between OSA and the amino groups on the surrounding tissues. On the other hand, BG endows the hydrogel‍ with adhesiveness to implantable materials by releasing Ca ions, which might chelate with the carboxyl groups of the hydrogel‍ matrix. In addition, the composite hydrogel‍ showed excellent bioactivity to promote vascularization and accelerate tissue regeneration. This study demonstrates that a multifunctional hydrogel‍ can be designed by utilizing the multifunctional ions released from silicate BG, and the BG/OSA hydrogel shows good potential as an adhesive and bioactive material for wound-healing applications.