bluuebunny/crossref_metadata_2025_split huggingface dataset:
Care needs and care consumption in psychosis: a 4-year longitudinal analysis of guideline concordant care
Authors: Roebroek L. , Bruins J. , Roe D. , Delespaul P. ,   PHAMOUS investigators, de Jong S. , Boonstra A. , Visser E. , Castelein S. 
Published: November 2021

Abstract

Aims
People with psychotic disorders receive mental healthcare services mainly for their psychiatric care needs. However, patients often experience multiple physical or social wellbeing-related care needs as well. This study aims to identify care needs, investigate their changes over time and examine their association with mental healthcare consumption and evidence-based pharmacotherapy.

Methods
This study combined annually obtained routine outcome monitoring (ROM) data with care consumption data of people with a long-term psychotic illness receiving treatment in four Dutch mental healthcare institutes between 2012 and 2016. Existing treatment algorithms were used to determine psychiatric, physical and social wellbeing-related care needs based on self-report questionnaires, semi-structured interviews and physical parameters. Care consumption was measured in hours of outpatient mental healthcare consumption per year. Generalised estimating equation models were used to calculate odds ratios of care needs and their associations with time, mental healthcare consumption and medication use.

Results
Participants (n = 2054) had on average 7.4 care needs per measurement and received 25.4 h of care per year. Physical care needs are most prevalent and persistent and people with more care needs receive more mental healthcare. Care needs for psychotic symptoms and most social wellbeing-related care needs decreased, whereas the chance of being overweight significantly increased with subsequent years of care. Several positive associations were found between care needs and mental healthcare consumption as well as positive relations between care needs and evidence-based pharmacotherapy.

Conclusions
This longitudinal study present a novel approach in identifying care needs and their association with mental healthcare consumption and pharmacotherapy. Identification of care needs in this way based on ROM can assist daily clinical practice. A recovery-oriented view and a well-coordinated collaboration between clinicians and general practitioners together with shared decisions about which care needs to treat, can improve treatment delivery. Special attention is required for improving physical health in psychosis care which, despite appropriate pharmacotherapy and increasing care consumption, remains troublesome.
Improving Representation of Tropical Wetland Methane Emissions With CYGNSS Inundation Maps
Authors: Gerlein‐Safdi Cynthia , Bloom A. Anthony , Plant Genevieve , Kort Eric A. , Ruf Christopher S. 
Published: November 2021

AbstractWetlands are the single largest source of methane to the atmosphere and their emissions are expected to respond to a changing climate. Inaccuracy and uncertainty in inundation extent drives differences in modeled wetland emissions and impacts representation of wetland emissions on inter‐annual and seasonal time frames. Existing wetland maps are based on optical or NIR satellite data obscured by clouds and vegetation, often leading to underestimates in wetlands extent, especially in the Tropics. Here, we present new inundation maps based on the Cyclone Global Navigation Satellite System (CYGNSS) satellite constellation, operating in L‐band that is not impacted by clouds or vegetation, providing reliable observations through canopy and cloudy periods. We map the temporal and spatial dynamics of the Pantanal and Sudd wetlands, two of the largest wetlands in the world, using CYGNSS data and a computer vision algorithm. We link these inundation maps to methane fluxes via WetCHARTs, a global wetland methane emissions model ensemble. We contrast CYGNSS‐modeled methane emissions with WetCHARTs standard runs that use monthly rainfall data from ECMWF re‐analysis (ERA5), as well as the commonly used SWAMPS wetland maps. We find that the CYGNSS‐based inundation maps modify the methane emissions in multiple ways. The seasonality of inundation and methane emissions is shifted by two months because of the lag in wetland recharge following peak rainfall. Both inundation and methane emissions also respond non‐linearly to wet‐season precipitation totals, leading to large interannual variability in emissions. Finally, the annual magnitude of emissions is found to be greater than previously estimated.
WRF Model Parameterization Around the Highland Titicaca Lake
Authors: Mamani Rober , Hendrick Patrick 
Published: November 2021

AbstractThe computational advances and many times the lack of meteorological measurements in some regions of the world impulse the employment of numerical methods for covering this deficiency of data, and the parameterization is a key factor for use and operation of numerical weather prediction models. The Weather Research & Forecasting (WRF) as one of the most important models has been scarcely parameterized in the Bolivian Altiplano and Titicaca Lake. This work evaluates different physics models and focus the parameterization in the planetary boundary layer (PBL) schemes. This study evaluates the performance of land surface, radiation, convective and microphysics models using WRFv3.8.1. The results showed well‐prediction with NOAH, THOMPSON, and RRTMG for land surface, microphysics and radiation schemes, respectively. For the PBL parameterization QNSE, YSU, MYJ, MYNN, and QNSE‐FDDA were evaluated for wind speed, temperature, and mixing ratio. The minimum root mean square error were 2.025 m s−1(QNSE‐FDDA) for wind speed, 1.721 K (YSU) for temperature, and 0.786 g kg−1(MJY) for mixing ratio. In summary, the results have shown that QNSE scheme well‐predicts wind speed and water mixing ratio. However, using FDDA only wind speed and water mixing ratio were improved, and the temperature prediction becomes worse. These results suggest an underprediction of incoming solar radiation due to temperature and water mixing ratio were underestimated near the Titicaca Lake.
Assessing Crack‐Induced Compliance in Low Porosity Rocks Damaged by Thermo‐Hydro‐Chemo‐Mechanical Processes
Authors: Clark A. C. , Vanorio T. , Radostin A. V. , Zaitsev V. Y. 
Published: November 2021

AbstractFracture geometry, density, and distribution control fluid and thermal transport in low porosity rocks, as well as their seismic attributes. The creation of cracks throughout the matrix can result in large and disparate reductions in P and S wave velocities with negligible porosity development, which breaks the classic velocity‐porosity relationship. Properly interpreting these signatures in seismic surveys from stimulated geothermal, oil, and gas reservoirs or seismogenic areas requires a rock physics model that uses realistic elastic properties of fractures. Conventional models for cracked rocks employ specific inclusion shapes such as spheroids with small aspect ratios. However, all these exhibit the same normal‐to‐shear compliance ratio—regardless of aspect ratio—and therefore impact the bulk and shear moduli in the same qualitative way. As such they are inadequate for describing many of the complementary evolutions of P and S wave velocities that transpire with the generation of cracks. Using a differential model of dimensionless compliances, we analyze published velocities for granite, basalt, and limestone to quantify typical compliance ratios and find that they are often different from those assumed in conventional crack models, which then affects crack density estimates. We also investigate how the total normal and shear compliances change due to certain thermo‐hydro‐chemo‐mechanical processes that generate large crack densities, and conclude that the final ratios often still deviate from that of conventional models. Finally, we demonstrate how the model can be used to describe scatter in both P and S wave velocity‐porosity trends. Implications for energy extraction and seismic monitoring are discussed.
Intercomparison of High‐Resolution SST Climatologies Over the Australian Region
Authors: Hu Yuwei , Beggs Helen , Wang Xiao Hua 
Published: November 2021

AbstractSea surface temperature (SST) climatology data sets provide the reference for observations of ocean anomalous events, which may have significant effects on the local marine ecosystem. The representativeness of the SST climatologies of the historical and current ocean surface states is essential to identify and predict anomalous events. Here, we compare five high‐resolution SST climatology data sets around the Australian coast to investigate the uncertainty introduced by the reference SSTs to current estimates of SST anomalies. The data sets studied are (a) 0.05° global daily climatology calculated by this study from the ESA SST Climate Change Initiative (CCI) Analysis v2.0 product (1981–2016); (b) 0.25° global daily climatology for 1981–2016 derived from the NCEI daily AVHRR_OI SST; (c) 0.02° SST Atlas of the Australian Regional Seas (SSTAARS), a pixel‐wise daily climatology for 1992–2016; (d) 0.05° NOAA Coral Reef Watch (CRW) global monthly climatology for 1985–2012; and (e) 0.1° global daily climatology for 1994–2016 derived from the BRAN_2016 ocean reanalysis. The climatology data sets formed from SST CCI analysis v2.0 data are used as the reference to compare data sets (b)–(e) based on the same reference time period and central year. This study indicates that climatologies (a) and (e) would be suitable for use as a reference over the Australian region. However, for smaller spatial scales or where a night‐only SST climatology is required, the 2‐km daily SSTAARS would also be suitable. The feature resolution of the climatology data sets (a) and (e) is significantly coarser than SSTAARS climatology.
Observations and Modeling of Rime Splintering in Southern Ocean Cumuli
Authors: Lasher‐Trapp Sonia , Scott Emma L. , Järvinen Emma , Schnaiter Martin , Waitz Fritz , DeMott Paul J. , McCluskey Christina S. , Hill Thomas C. J. 
Published: November 2021

AbstractRecent studies have suggested a correct representation of cloud phase in the Southern Ocean region is important in climate models for an accurate representation of the energy balance. Satellite retrievals indicate many of the clouds are predominantly liquid, despite their low temperatures. However, clouds containing high numbers of ice crystals have sometimes been observed in this region and implicated the secondary ice production process called rime splintering. This study re‐examines rime splintering in Southern Ocean cumuli using both a new data set and high‐resolution numerical modeling. Measurements acquired during the Southern Ocean Clouds Radiation Aerosol Transport Experimental Study (SOCRATES) provide an evaluation of the amount of ice in shallow cumuli sampled over two days in this region. The measurements sometimes exhibit seven orders of magnitude or more ice particles compared to amounts expected from measurements of ice‐nucleating particles (INP) on the same days. Cumuli containing multiple updrafts had the greatest tendency to contain high ice concentrations and meet the expected conditions for rime splintering. Idealized numerical modeling, constrained by the observations, suggests that the multiple updrafts produce more frozen raindrops/graupel, and allow them to travel through the rime‐splintering zone over an extended period of time, increasing the number of ice particles by many orders of magnitude. The extremely low number of INP in the Southern Ocean thus appears to require special conditions like multiple updrafts to help glaciate the cumuli in this region, potentially explaining the predominance of supercooled cumuli observed there.
Humanistic and socioeconomic burden of COPD patients and their caregivers in Malaysia
Authors: Rehman Anees ur , Muhammad Sohail Ayaz , Tasleem Zermina , Alsaedi Alyaa , Dar Mamoona , Iqbal Muhammad Omer , Rasool Muhammad Fawad , Shah Shahid , Abbas Ghulam , Shakeel Sadia , Hayat Khezar 
Published: November 2021

AbstractChronic obstructive pulmonary disease (COPD) is associated with substantial humanistic and socioeconomic burden on patients and their caregivers. COPD is expected to be 7th leading cause of disease burden till 2030. The objective of the current study was to assess the humanistic and socioeconomic burden of COPD patients and their caregivers in Malaysia. The burden includes the cost of management of COPD, QOL of COPD patients and their caregivers, work productivity and activity impairment of COPD patients and their caregivers due to COPD. One hundred and fifty COPD patients and their caregivers from the chest clinic of Penang Hospital were included in the study from August 2018 to August 2019. Caregiving cost was estimated using the replacement cost approach, while humanistic and social burden was assessed with the help of health status questionnaires. Overall, 64.66% and 7.1% of COPD patients reported to depend on informal caregivers and professional caregivers respectively. COPD patients reported dyspnoea score as 2.31 (1.31), EQ-5D-5L utility index 0.57 (0.23), CCI 2.3 (1.4), SGRQ-C 49.23 (18.61), productivity loss 31.87% and activity impairment 17.42%. Caregivers reported dyspnoea score as 0.72 (0.14), EQ-5D-5L utility index 0.57 (0.23), productivity loss 7.19% and social activity limitation as 21.63% due to taking care of COPD patients. In addition to the huge direct cost of management, COPD is also associated with substantial burden on society in terms of compromised quality of life, reduced efficiency at the workplace, activity impairment and caregiver burden.
Asymmetric response of the Indian summer monsoon to positive and negative phases of major tropical climate patterns
Authors: Chakraborty Arindam , Singhai Priyanshi 
Published: November 2021

AbstractThe existing theories for the tropical teleconnections to Indian summer monsoon (ISM) are diverse in approaches. As a result, it is impossible to quantify the relative impacts of different tropical climate patterns on ISM, complying with a single physical mechanism. Here, we show that tropical teleconnections to ISM can be explained through net moisture convergence driven by surface pressure (Ps) gradients surrounding the Indian region. The positive and negative phases of major tropical climate patterns modulate these pressure gradients asymmetrically in the zonal and/or meridional directions leading to asymmetric changes in moisture convergence and ISM rainfall (ISMR). Stronger El Nino droughts than La Nina floods are due to greater decreased eastward moisture flux over the Arabian Sea during El Nino than the corresponding increase during La Nina driven by proportionate meridional Ps gradients. While the equatorial Atlantic Ocean’s sea surface temperature in boreal summer and El Nino Southern Oscillation in the preceding winter changes ISMR significantly, moisture convergence anomalies driven by the Indian Ocean Dipole were insignificant. Moreover, while ISMR extremes during ENSO are due to asymmetric changes in zonal and meridional gradients in Ps, non-ENSO ISMR extremes arise due to the zonal gradient in zonally symmetric Ps anomalies.
Effectiveness and tolerability of radiotherapy for patients with indolent non-Hodgkin’s lymphoma: a monocenter analysis
Authors: Hadi I. , Schummer A. , Dreyling M. , Eze C. , Bodensohn R. , Roengvoraphoj O. , Belka C. , Li M. 
Published: November 2021

AbstractTo analyze the effectiveness and toxicities of radiotherapy in indolent non-Hodgkin’s lymphoma (iNHL) patients treated in our institution. Patients with iNHL treated with radiotherapy between 1999 and 2016 were included. The primary endpoint was progression-free survival (PFS). Secondary endpoints were local control (LC), overall survival (OS) and toxicities. PFS, LC, and OS were analyzed using Kaplan–Meier method. Log-rank test was used to investigate the differences between subgroups. Cox proportional hazard model was used for univariate continuous analysis. Seventy-five patients were identified in our institutional database between 1999 and 2016. Fifty-eight (77.3%) had stage I after Ann-Arbor and 17 patients (22.7%) had stage II. The median follow-up was 87 months (95% CI 72–102 months). Median single dose per fraction was 2.0 Gy (range 1.5–2 Gy) and median total dose was 30.6 Gy (range 16–45 Gy). Radiotherapy was performed in 2D (n = 10; 13.3%), 3D (n = 63; 84.0%) and VMAT (n = 2; 2.7%) techniques, respectively. The median PFS was 14.0 years (95% CI 8.3–19.7 years). The estimated PFS after 5 and 10 years were 73.0% and 65.5% in Kaplan–Meier analysis, respectively. The 5- and 10-year LC were 94.9% and 92.3%, respectively. The 5- and 10-year OS were 88.6% and 73.9%. In univariate analyses of PFS, younger patients (≤ 60 years old) had significantly superior PFS to those older than 60 years old (5-year PFS 81.9% vs. 65.1%, p = 0.021). Dose escalation > 36.0 Gy had no prognostic influence in term of PFS (p = 0.425). Extranodal involvement, stage and histology had no prognostic impact on PFS. Depending on the site of lymphomas, the most common acute side effects were: dermatitis CTCAE° I–II (8.0%), xerostomia CTC° I (8.0%), cataract CTC° I (12.0%) and dry eyes CTC° I–II (14.6%). No adverse event CTC° III was reported. Most acute side effects recovered at 3 to 6 months after radiotherapy except for CTC° I cataract and xerostomia. Local Radiotherapy was highly effective for treatment of early stage iNHL with no serious side effects in our cohort. The most acute CTCAE° I–II side effects recovered 3 to 6 months later. Technique advances seem to have further improved effectiveness and tolerability of radiotherapy.Trial registration: Local ethics committee of Ludwig-Maximilian-University (LMU) Munich approved this retrospective analysis on the May 7th, 2019 (Nr. 19–137).
Enhanced decomposition of laminated ammonium perchlorate composite
Authors: Wang Shuji , Guo Xueyong , Zhao Wanjun , Fang Hua , Wu Chengcheng , Wang Di 
Published: November 2021

AbstractIn order to improve the thermal decomposition performances of ammonium perchlorate (AP), the laminated AP composite was prepared by ice-template induced self-assembly method. In this study, Iron-Konjac glucomannan (Fe3+-KGM) hydrosol rich in AP was selected as the freezing precursor. Through directional freezing of precursor and recrystallization of AP molecules, the laminated AP composite was obtained. The results showed that the thickness of the lamellar composite structure is about 10 to 30 μm, and the recrystallized AP particles are uniformly dispersed in the gel system. The oxygen bomb test results show that the micro-/nano-layered structure can significantly improve the sample’s combustion heat value. Thermal analyses indicated that with the increasing Fe3+ content, the peak exothermic temperature of lamellar AP composite at different heating rates both showed a decreasing trend. With 10 wt% Fe(NO3)3·9H2O added, the decomposition peak temperature decreased from 433.0 to 336.2 °C at a heating rate of 5 °C/min, and the apparent activation energy (Ea) decreased dramatically from 334.1 kJ/mol to 255.4 kJ/mol. A possible catalytic thermal decomposition mechanism of lamellar AP composite catalyzed by Fe3+ was proposed. This work is beneficial to the structural design of other energetic materials.
A low noise cascaded amplifier for the ultra-wide band receiver in the biosensor
Authors: Daoud Maissa , Ghorbel Mohamed , Mnif Hassene 
Published: November 2021

AbstractThis paper presents the design of an Ultra-Wide Band (UWB) Low Noise cascaded Amplifier (LNA) used for biomedical applications. The designed structure uses a technique which is based on the inductances minimization to reduce the LNA surface while maintaining low power consumption, low noise and high stability, linearity and gain. To prove its robustness, this technique was studied theoretically, optimized and validated through simulation using the CMOS 0.18 µm process. The LNA achieves a maximum band voltage gain of about 17.5 dB at [1-5] GHz frequency band, a minimum noise figure of 2 dB, IIP3 of + 1dBm and consumes only 13mW under a 2 V power supply. It is distinguished by its prominent figure of merit of 0.68.
Machine learning approach for the prediction of postpartum hemorrhage in vaginal birth
Authors: Akazawa Munetoshi , Hashimoto Kazunori , Katsuhiko Noda , Kaname Yoshida 
Published: November 2021

AbstractPostpartum hemorrhage is the leading cause of maternal morbidity. Clinical prediction of postpartum hemorrhage remains challenging, particularly in the case of a vaginal birth. We studied machine learning models to predict postpartum hemorrhage. Women who underwent vaginal birth at the Tokyo Women Medical University East Center between 1995 and 2020 were included. We used 11 clinical variables to predict a postpartum hemorrhage defined as a blood loss of > 1000 mL. We constructed five machine learning models and a deep learning model consisting of neural networks with two layers after applying the ensemble learning of five machine learning classifiers, namely, logistic regression, a support vector machine, random forest, boosting trees, and decision tree. For an evaluation of the performance, we applied the area under the curve of the receiver operating characteristic (AUC), the accuracy, false positive rate (FPR) and false negative rate (FNR). The importance of each variable was evaluated through a comparison of the feature importance calculated using a Boosted tree. A total of 9,894 patients who underwent vaginal birth were enrolled in the study, including 188 cases (1.9%) with blood loss of > 1000 mL. The best learning model predicted postpartum hemorrhage with an AUC of 0.708, an accuracy of 0.686, FPR of 0.312, and FNR of 0.398. The analysis of the importance of the variables showed that pregnant gestation of labor, the maternal weight upon admission of labor, and the maternal weight before pregnancy were considered to be weighted factors. Machine learning model can predict postpartum hemorrhage during vaginal delivery. Further research should be conducted to analyze appropriate variables and prepare big data, such as hundreds of thousands of cases.
Reciprocal impacts of telomerase activity and ADRN/MES differentiation state in neuroblastoma tumor biology
Authors: Yu Eun Young , Zahid Syed S. , Aloe Sarah , Falck-Pedersen Erik , Zhou Xi Kathy , Cheung Nai-Kong V. , Lue Neal F. 
Published: November 2021

AbstractTelomere maintenance and tumor cell differentiation have been separately implicated in neuroblastoma malignancy. Their mechanistic connection is unclear. We analyzed neuroblastoma cell lines and morphologic subclones representing the adrenergic (ADRN) and mesenchymal (MES) differentiation states and uncovered sharp differences in their telomere protein and telomerase activity levels. Pharmacologic conversion of ADRN into MES cells elicited consistent and robust changes in the expression of telomere-related proteins. Conversely, stringent down-regulation of telomerase activity triggers the differentiation of ADRN into MES cells, which was reversible upon telomerase up-regulation. Interestingly, the MES differentiation state is associated with elevated levels of innate immunity factors, including key components of the DNA-sensing pathway. Accordingly, MES but not ADRN cells can mount a robust response to viral infections in vitro. A gene expression signature based on telomere and cell lineage-related factors can cluster neuroblastoma tumor samples into predominantly ADRN or MES-like groups, with distinct clinical outcomes. Our findings establish a strong mechanistic connection between telomere and differentiation and suggest that manipulating telomeres may suppress malignancy not only by limiting the tumor growth potential but also by inducing tumor cell differentiation and altering its immunogenicity.