bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adherence to recommendations of inpatient geriatric consultation teams: a multicenter observational study
Authors: Deschodt Mieke , Jeuris Anthony , Van Grootven Bastiaan , Van Waerebeek Eline , Gantois Evie , Flamaing Johan , Velghe Anja 
Published: September 2020

Abstract
Purpose
Inpatient geriatric consultation teams (IGCTs) provide recommendations for the care of older patients hospitalized on non-geriatric wards based on comprehensive geriatric assessment. The lack of adherence to their recommendations hinders the potential impact of IGCTs. We evaluated the adherence to IGCT recommendations and determined which team and recommendation characteristics are related to higher adherence rates.

Methods
Multicenter observational study in older adults aged ≥ 75 years admitted to an acute non-geriatric ward. Demographic and adherence data were collected for 30 consecutive patients. A cross-sectional survey mapped team and organizational characteristics of the participating IGCTs.

Results
Analyses were conducted in 278 patients (51.4% male, mean age 82.5 years, and median length of stay 10 days). There was a median number of 3 recommendations (range 1–13) per patient. The overall adherence rate was 69.7%. Recommendations related to ‘social status’ (82.4%) and ‘functional status/mobility’ (73.3%) were best adhered to. Recommendations related to ‘medication’ (53.2%) and ‘nutritional status’ (59.1%) were least adhered to. Adherence rates increased if recommendations were given to allied health professionals (OR = 6.37, 95% CI = 1.15–35.35) or by more experienced IGCTs (OR = 1.34, 95% CI = 1.04–1.72) and decreased when more recommendations were given (OR = 0.51, 95% CI = 0.33–0.80).

Conclusion
Adherence rate to IGCT recommendations increased if given to allied health professionals or by more experienced IGCTs and when fewer recommendations were given. Study replication in an international multicenter study with a larger number of centers and evaluating the quality of the recommendations is suggested.
What Influences Parenting Behaviour? The Role of Parent Self-Concept
Authors: Gittins Catherine B. , Abbott Maree J. , Hunt Caroline 
Published: September 2020

AbstractParenting has a strong influence on child development. However, there is minimal empirical evidence on why some parents use beneficial techniques, while others use harmful behaviours. Thus, there is a significant gap in the knowledge needed to address problematic parenting. Theories suggest that parental self-concept has a large influence on parenting behaviours. The aim of this study was to examine the relation between parent self-cognitions and parenting behaviours. One-hundred and four mothers of Grade 7 students completed questionnaires measuring their self-esteem, self-criticism, domain-specific self-concept, and parenting behaviours (support, behavioural control, and psychological control). Regression analyses demonstrated that self-cognitions largely predicted psychological control but support or behavioural control did not. These findings suggest that psychologically controlling behaviour in parents may be due to poor self-worth. With psychological control known to deeply damage children, these findings have major implications for interventions targeting harmful parenting.
Perceived stigma towards Alzheimer's disease and related dementia among Chinese older adults: do social networks matter?
Authors: Gao Xiang , Sun Fei , Prieto Lucas , Iyengar Vijeth 
Published: September 2020

AbstractIn mainland China, as the population ages, Alzheimer's disease and related dementia (ADRD) is estimated to increase among Chinese older adults. Chinese older adults tend to hold stigmatising beliefs about ADRD that in turn affect their help-seeking behaviour and receipt of prevention and treatment. The Framework Integrating Normative Influences on Stigma provides a rationale for Chinese older adult's stigma about ADRD. Questionnaires were administered in person to 754 older adults (42% male, mean age = 69.54 years) from two urban communities in mainland China. We examined ADRD stigma and the associations with real-life exposure, knowledge of ADRD, health conditions and social networks. This study found that Chinese older adults who had good family quality, lower depression (as measured by the Center for Epidemiological Studies Depression Scale) and better cognitive health (as measured by the Montreal Cognitive Assessment) were more likely to have lower perceived stigma. Conversely, those individuals who experienced neglect and had more ADRD knowledge exhibited higher levels of perceived stigma. Social networks moderated the associations between cognitive scores and perceived stigma. This research suggested that the quality of one's social networks is essential to reduce perceived stigma among Chinese older adults. Future research should continue to explore ADRD stigma among Chinese older adults to help guide relevant interventions, services and supports for this population.
Social network analysis of COVID-19 transmission in Karnataka, India
Authors: Saraswathi S. , Mukhopadhyay A. , Shah H. , Ranganath T. S. 
Published: September 2020

Abstract
We used social network analysis (SNA) to study the novel coronavirus (COVID-19) outbreak in Karnataka, India, and to assess the potential of SNA as a tool for outbreak monitoring and control. We analysed contact tracing data of 1147 COVID-19 positive cases (mean age 34.91 years, 61.99% aged 11–40, 742 males), anonymised and made public by the Karnataka government. Software tools, Cytoscape and Gephi, were used to create SNA graphics and determine network attributes of nodes (cases) and edges (directed links from source to target patients). Outdegree was 1–47 for 199 (17.35%) nodes, and betweenness, 0.5–87 for 89 (7.76%) nodes. Men had higher mean outdegree and women, higher mean betweenness. Delhi was the exogenous source of 17.44% cases. Bangalore city had the highest caseload in the state (229, 20%), but comparatively low cluster formation. Thirty-four (2.96%) ‘super-spreaders’ (outdegree ⩾ 5) caused 60% of the transmissions. Real-time social network visualisation can allow healthcare administrators to flag evolving hotspots and pinpoint key actors in transmission. Prioritising these areas and individuals for rigorous containment could help minimise resource outlay and potentially achieve a significant reduction in COVID-19 transmission.
Population growth rates in northern Cape VultureGyps coprotherescolonies between 2010 and 2019
Authors: HIRSCHAUER MARGARET T. , WOLTER KERRI , HOWARD ALEXANDRA , ROLEK BRIAN W. , MCCLURE CHRISTOPHER J. W. 
Published: September 2020

SummaryThe ‘Endangered’ Cape VultureGyps coprothereshas been monitored across its range for decades through disparate studies varying in geographical scope and length. Yet, no long-term, range-wide survey exists for the species. Coordinated monitoring across the range of the Cape Vulture would be logistically challenging but provide a holistic view of population dynamics in this long-lived species that forages across much of southern Africa. Here, we report breeding pair counts from seven colonies in the Cape Vulture’s north-eastern breeding region from 2010 to 2019. We used state-space models to assess population growth across time. Manutsa, Soutpansberg, and Nooitgedacht colonies increased significantly over the study period, with three other colonies having positive estimates of population growth, but 95% credible intervals overlapped zero. The smallest colony at Moletjie is declining toward extirpation; only one breeding pair remained in 2019. Our results suggest the north-eastern population has been stable or increasing since 2010 with our 2019 surveys counting 2,241 breeding pairs across all sites. Indeed, there is an 89% chance that the population across the colonies we monitored increased from 2010 to 2019. Coordinated, range-wide, full-cycle monitoring is needed to thoroughly assess conservation status and efficacy of conservation actions taken for this endangered species.
Comparison of growth and feeding method in infants with and without genetic abnormalities after neonatal cardiac surgery
Authors: Pierick Alyson R. , Pierick Trudy A. , Reinking Benjamin E. 
Published: September 2020

AbstractIntroduction:Congenital heart disease (CHD) is multifactorial in origin, resulting from an interaction between environmental and genetic factors. Multifactorial growth delay is common in infants with CHD. The impact of a genetic abnormality and CHD on the growth of an infant is lacking in the literature. The aim of this study is to compare the growth and method of feeding following neonatal cardiac surgery in infants with normal versus abnormal genetic testing.Methods:A retrospective chart review of neonates who underwent a Risk Adjustment in Congenital Heart Surgery IV–VI procedure between 1 January, 2006 and 22 September, 2016 was performed at our institution. Weight, length, head circumference measurements, and feeding method were collected at birth, time of neonatal surgery, and monthly up to 6 months of age.Results:A total of 53 infants met inclusion criteria, of which 22 had abnormal genetic testing. Approximately 90% of infants were discharged following neonatal cardiac surgery with supplemental tube feeds. At each monthly follow-up visit, more infants were exclusively fed orally: 80% of infants with normal genetics at 5 months post-operative follow-up versus 60% of infants with abnormal genetic testing, although statistically insignificant. Growth was not different among the two groups.Conclusions:Infants with critical CHD with or without genetic abnormalities are at risk for growth delays and many need supplemental tube feeds post-operatively and throughout follow-up. Infants with genetic abnormalities are slower to achieve oral feeds and more likely to require tube feedings. It is important to have a systematic protocol for managing these high-risk infants.
A service evaluation of a group mindfulness-based intervention for distressing voices: how do findings from a randomized controlled trial compare with routine clinical practice?
Authors: Jones Anna-Marie , Strauss Clara , Hayward Mark 
Published: September 2020

AbstractBackground:Person-based cognitive therapy (PBCT) was developed as a treatment for psychosis. The effectiveness of group PBCT was examined in the Mindfulness for Voices (M4V) randomized controlled trial and generated promising results. Group PBCT was implemented as a trans-diagnostic treatment for distressing voices within the Sussex Voices Clinic (SVC), a specialist secondary care mental health service.Aim:To conduct a service evaluation of engagement, outcomes and cost of group PBCT within SVC, and to compare engagement and outcomes from routine practice with the M4V trial. Secondary aims were to explore predictors of levels of engagement and change in group PBCT.Method:Service level data from 95 SVC patients were evaluated. Descriptive statistics, hypothesis tests and linear regression models were used. The primary clinical outcome was voice-related distress. Engagement levels and pre–post effect sizes were estimated; associated predictors were explored.Results:Fifty-nine per cent of patients completed group PBCT within SVC, compared with 72% within M4V. Completers within SVC had lower baseline depression scores compared with non-completers. There were significant improvements in voice-related distress (Cohen’s d = –0.47; p = 0.001), subjective recovery (Cohen’s d = 0.35; p = 0.001) and depression (Cohen’s d = –0.20; p = 0.044); these outcomes were comparable to M4V. Higher baseline subjective recovery and lower depression both predicted improvement in voice-related distress. Therapy within SVC cost an average of £214 per patient.Conclusion:PBCT groups can be delivered trans-diagnostically in routine clinical practice. Engagement was lower when compared with an RCT, but outcomes were comparable. The low level of resources involved suggests that group PBCT can offer value for money.
The Navy's Earth System Prediction Capability: A New Global Coupled Atmosphere‐Ocean‐Sea Ice Prediction System Designed for Daily to Subseasonal Forecasting
Authors: Barton Neil , Metzger E. Joseph , Reynolds Carolyn A. , Ruston Benjamin , Rowley Clark , Smedstad Ole Martin , Ridout James A. , Wallcraft Alan , Frolov Sergey , Hogan Patrick , Janiga Matthew A. , Shriver Jay F. , McLay Justin , Thoppil Prasad , Huang Andrew , Crawford William , Whitcomb Timothy , Bishop Craig H. , Zamudio Luis , Phelps Michael 
Published: September 2020

AbstractThis paper describes the new global Navy Earth System Prediction Capability (Navy‐ESPC) coupled atmosphere‐ocean‐sea ice prediction system developed at the Naval Research Laboratory (NRL) for operational forecasting for timescales of days to the subseasonal. Two configurations of the system are validated: (1) a low‐resolution 16‐member ensemble system and (2) a high‐resolution deterministic system. The Navy‐ESPC ensemble system became operational in August 2020, and this is the first time the NRL operational partner, Fleet Numerical Meteorology and Oceanography Center, will provide global coupled atmosphere‐ocean‐sea ice forecasts, with atmospheric forecasts extending past 16 days, and ocean and sea ice ensemble forecasts. A unique aspect of the Navy‐ESPC is that the global ocean model is eddy resolving at 1/12° in the ensemble and at 1/25° in the deterministic configurations. The component models are current Navy operational systems: NAVy Global Environmental Model (NAVGEM) for the atmosphere, HYbrid Coordinate Ocean Model (HYCOM) for the ocean, and Community Ice CodE (CICE) for the sea ice. Physics updates to improve the simulation of equatorial phenomena, particularly the Madden‐Julian Oscillation (MJO), were introduced into NAVGEM. The low‐resolution ensemble configuration and high‐resolution deterministic configuration are evaluated based on analyses and forecasts from January 2017 to January 2018. Navy‐ESPC ensemble forecast skill for large‐scale atmospheric phenomena, such as the MJO, North Atlantic Oscillation (NAO), Antarctic Oscillation (AAO), and other indices, is comparable to that of other numerical weather prediction (NWP) centers. Ensemble forecasts of ocean sea surface temperatures perform better than climatology in the tropics and midlatitudes out to 60 days. In addition, the Navy‐ESPC Pan‐Arctic and Pan‐Antarctic sea ice extent predictions perform better than climatology out to about 45 days, although the skill is dependent on season.
The miR-361-3p increases enzalutamide (Enz) sensitivity via targeting the ARv7 and MKNK2 to better suppress the Enz-resistant prostate cancer
Authors: Liu Bianjiang , Sun Yin , Tang Min , Liang Chao , Huang Chi-Ping , Niu Yuanjie , Wang Zengjun , Chang Chawnshang 
Published: September 2020

AbstractThe androgen receptor splicing variant 7 (ARv7) that lacks the ligand-binding domain is increasingly considered as a key player leading to enzalutamide (Enz) resistance in patients with prostate cancer (PCa). However, the detailed mechanisms of how ARv7 expression is regulated and whether it also needs other factors to induce maximal Enz resistance remain unclear. Here, we identified a microRNA, miR-361-3p, whose expression is lower in patients with recurrent PCa, could function via binding to the 3′UTR of ARv7, but not the wild type of AR, to suppress its expression to increase the Enz sensitivity. Importantly, we found that miR-361-3p could also bind to the 3′UTR of MAP kinase-interacting serine/threonine kinase 2 (MKNK2) to suppress its expression to further increase the Enz sensitivity. In turn, the increased Enz can then function via a feedback mechanism through altering the HIF-2α/VEGFA signaling to suppress the expression of miR-361-3p under hypoxia conditions. Preclinical studies using an in vivo mouse model with orthotopically xenografted CWR22Rv1 cells demonstrated that combining the Enz with the small molecule miR-361-3p would result in better suppression of the Enz-resistant PCa tumor progression. Together, these preclinical studies demonstrate that miR-361-3p can function via suppressing the expression of ARv7 and MKNK2 to maximally increase the Enz sensitivity, and targeting these newly identified Enz/miR-361-3p/ARv7 and/or Enz/miR-361-3p/MKNK2 signals with small molecules may help in the development of novel therapies to better suppress the CRPC in patients that already have developed the Enz resistance.
FZR1 as a novel biomarker for breast cancer neoadjuvant chemotherapy prediction
Authors: Liu Shuo , Wang Haobin , Li Jun , Zhang Jianhui , Wu Jian , Li Yi , Piao Yongjun , Pan Leiting , Xiang Rong , Yue Shijing 
Published: September 2020

AbstractThe concept of breast-conserving surgery is a remarkable achievement of breast cancer therapy. Neoadjuvant chemotherapy is being used increasingly to shrink the tumor prior to surgery. Neoadjuvant chemotherapy is reducing the tumor size to make the surgery with less damaging to surrounding tissue and downstage locally inoperable disease to operable. However, non-effective neoadjuvant chemotherapy could increase the risks of delaying surgery, develop unresectable disease and metastatic tumor spread. The biomarkers for predicting the neoadjuvant chemotherapy effect are scarce in breast cancer treatment. In this study, we identified that FZR1 can be a novel biomarker for breast cancer neoadjuvant chemotherapy according to clinical patient cohort evaluation and molecular mechanism investigation. Transcriptomic data analysis indicated that the expression of FZR1 is correlated with the effect of neoadjuvant chemotherapy. Mechanistically, we demonstrate that FZR1 is pivotal to the chemotherapy drugs induced apoptosis and cell cycle arrest. FZR1 is involved in the stability of p53 by impairing the phosphorylation at ser15 site. We demonstrate that the expression of FZR1 detected by quantification of IHC can be an effective predictor of neoadjuvant chemotherapy in animal experiment and clinical patient cohort. To obtain more benefit for breast cancer patient, we propose that the FZR1 IHC score using at the clinical to predict the effect of neoadjuvant chemotherapy.
PTPN14 aggravates inflammation through promoting proteasomal degradation of SOCS7 in acute liver failure
Authors: Fu Beibei , Yin Songna , Lin Xiaoyuan , Shi Lei , Wang Yu , Zhang Shanfu , Zhao Qingting , Li Zhifeng , Yang Yanling , Wu Haibo 
Published: September 2020

AbstractAcute liver failure (ALF) is a rare but life-threatening systemic disorder. The innate immune regulation has an important role in this process; however, the specific mechanisms are not completely clear. Using the LPS + D-GalN-induced ALF mouse model, we found that the survival rate of PTPN14-deficient mice was higher than that of the control group, while the release of inflammatory factors was significantly lower. We further showed that PTPN14 interacted with SOCS7, and promoted the degradation of SOCS7 through ubiquitination at K11 and K48, thereby reducing the protein level of SOCS7 and weakening the inhibitory effects on inflammatory factors. More importantly, SOCS7 blocked the NF-κB signaling pathway by preventing the activity of the IKK complex, and then reduced the expression of downstream inflammatory factors. In this study, we firstly reported the inhibitory effect of SOCS7 on the NF-κB pathway in the ALF mouse model and elucidated the mechanism of PTPN14–SOCS7–NF-κB axis in the regulation of inflammation. These results provide new insights into the clinical treatment of ALF.
Recipe for ultrafast and persistent phase-change memory materials
Authors: Ding Keyuan , Chen Bin , Chen Yimin , Wang Junqiang , Shen Xiang , Rao Feng 
Published: September 2020

AbstractThe contradictory nature of increasing the crystallization speed while extending the amorphous stability for phase-change materials (PCMs) has long been the bottleneck in pursuing ultrafast yet persistent phase-change random-access memory. Scandium antimony telluride alloy (ScxSb2Te3) represents a feasible route to resolve this issue, as it allows a subnanosecond SET speed but years of reliable retention of the RESET state. To achieve the best device performances, the optimal composition and its underlying working mechanism need to be unraveled. Here, by tuning the doping dose of Sc, we demonstrate that Sc0.3Sb2Te3 has the fastest crystallization speed and fairly improved data nonvolatility. The simultaneous improvement in such ‘conflicting’ features stems from reconciling two dynamics factors. First, promoting heterogeneous nucleation at elevated temperatures requires a higher Sc dose to stabilize more precursors, which also helps suppress atomic diffusion near ambient temperatures to ensure a rather stable amorphous phase. Second, however, enlarging the kinetic contrast through a fragile-to-strong crossover in the supercooled liquid regime should require a moderate Sc content; otherwise, the atomic mobility for crystal growth at elevated temperatures will be considerably suppressed. Our work thus reveals the recipe by tailoring the crystallization kinetics to design superior PCMs for the development of high-performance phase-change working memory technology.
Arthrogryposis multiplex congenita with polymicrogyria and infantile encephalopathy caused by a novel GRIN1 variant
Authors: Nishimura Naoto , Kumaki Tatsuro , Murakami Hiroaki , Enomoto Yumi , Katsumata Kaoru , Toyoshima Katsuaki , Kurosawa Kenji 
Published: September 2020

AbstractVariants of GRIN1, which encodes GluN1, are associated with developmental delay, epilepsy, and cortical malformation. Here, we report a case of arthrogryposis multiplex congenita with polymicrogyria and infantile encephalopathy caused by a heterozygous variant, c.1949A>C, p.(Asn650Thr) of GRIN1, which could result in the disruption of the third transmembrane domain (M3) of GluN1. This case expands our understanding of the known phenotypes of GRIN1-related neurodevelopmental disorders.
DeSiphering receptor core-induced and ligand-dependent conformational changes in arrestin via genetic encoded trimethylsilyl 1H-NMR probe
Authors: Liu Qi , He Qing-tao , Lyu Xiaoxuan , Yang Fan , Zhu Zhong-liang , Xiao Peng , Yang Zhao , Zhang Feng , Yang Zhao-ya , Wang Xiao-yan , Sun Peng , Wang Qian-wen , Qu Chang-xiu , Gong Zheng , Lin Jing-yu , Xu Zhen , Song Shao-le , Huang Shen-ming , Guo Sheng-chao , Han Ming-jie , Zhu Kong-kai , Chen Xin , Kahsai Alem W. , Xiao Kun-Hong , Kong Wei , Li Fa-hui , Ruan Ke , Li Zi-jian , Yu Xiao , Niu Xiao-gang , Jin Chang-wen , Wang Jiangyun , Sun Jin-peng 
Published: September 2020

AbstractCharacterization of the dynamic conformational changes in membrane protein signaling complexes by nuclear magnetic resonance (NMR) spectroscopy remains challenging. Here we report the site-specific incorporation of 4-trimethylsilyl phenylalanine (TMSiPhe) into proteins, through genetic code expansion. Crystallographic analysis revealed structural changes that reshaped the TMSiPhe-specific amino-acyl tRNA synthetase active site to selectively accommodate the trimethylsilyl (TMSi) group. The unique up-field 1H-NMR chemical shift and the highly efficient incorporation of TMSiPhe enabled the characterization of multiple conformational states of a phospho-β2 adrenergic receptor/β-arrestin-1(β-arr1) membrane protein signaling complex, using only 5 μM protein and 20 min of spectrum accumulation time. We further showed that extracellular ligands induced conformational changes located in the polar core or ERK interaction site of β-arr1 via direct receptor transmembrane core interactions. These observations provided direct delineation and key mechanism insights that multiple receptor ligands were able to induce distinct functionally relevant conformational changes of arrestin.