bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can boron form coordination complexes with diffuse electrons? Evidence for linked solvated electron precursors
Authors: Jordan Zachary , Khan Shahriar N , Jackson Benjamin A , Miliordos Evangelos 
Published: January 2022

Abstract
Density functional theory and ab initio multi-reference calculations are performed to examine the stability and electronic structure of boron complexes that host diffuse electrons in their periphery. Such complexes (solvated electron precursors or SEPs) have been experimentally identified and studied theoretically for several s- and d-block metals. For the first time, we demonstrate that a p-block metalloid element can form a stable SEP when appropriate ligands are chosen. We show that three ammonia and one methyl ligands can displace two of the three boron valence electrons to a peripheral 1s-type orbital. The shell model for these outer electrons is identical to previous SEP systems (1s, 1p, 1d, 2s). Further, we preformed the first examination of a molecular system consisting of two SEPs bridged by a hydrocarbon chain. The electronic structure of these dimers is very similar to that of traditional diatomic molecules forming bonding and anti-bonding σ and π orbitals. Their ground state electronic structure resembles that of two He atoms, and our results indicate that the excitation energies are nearly independent of the chain length for four carbon atoms or longer. These findings pave the way for the development of novel materials similar to expanded metals and electrides.
Easy representation of multivariate functions with low-dimensional terms via Gaussian process regression kernel design: applications to machine learning of potential energy surfaces and kinetic energy densities from sparse data
Authors: Manzhos Sergei , Sasaki Eita , Ihara Manabu 
Published: January 2022

Abstract
We show that Gaussian process regression (GPR) allows representing multivariate functions with low-dimensional terms via kernel design. When using a kernel built with high-dimensional model representation (HDMR), one obtains a similar type of representation as the previously proposed HDMR-GPR scheme while being faster and simpler to use. We tested the approach on cases where highly accurate machine learning is required from sparse data by fitting potential energy surfaces and kinetic energy densities.
Assessment of coding-based frailty algorithms for long-term outcome prediction among older people in community settings: a cohort study from the Shizuoka Kokuho Database
Authors: Nishimura Shiori , Kumamaru Hiraku , Shoji Satoshi , Nakatani Eiji , Yamamoto Hiroyuki , Ichihara Nao , Miyachi Yoshiki , Sandhu Alexander T , Heidenreich Paul A , Yamauchi Keita , Watanabe Michiko , Miyata Hiroaki , Kohsaka Shun 
Published: January 2022

Abstract

Objectives
To assess the applicability of Electronic Frailty Index (eFI) and Hospital Frailty Risk Score (HFRS) algorithms to Japanese administrative claims data and to evaluate their association with long-term outcomes.

Study Design and Setting
A cohort study using a regional government administrative healthcare and long-term care (LTC) claims database in Japan 2014–18.

Participants
Plan enrollees aged ≥50 years.

Methods
We applied the two algorithms to the cohort and assessed the scores’ distributions alongside enrollees’ 4-year mortality and initiation of government-supported LTC. Using Cox regression and Fine–Gray models, we evaluated the association between frailty scores and outcomes as well as the models’ discriminatory ability.

Results
Among 827,744 enrollees, 42.8% were categorised by eFI as fit, 31.2% mild, 17.5% moderate and 8.5% severe. For HFRS, 73.0% were low, 24.3% intermediate and 2.7% high risk; 35 of 36 predictors for eFI, and 92 of 109 codes originally used for HFRS were available in the Japanese system. Relative to the lowest frailty group, the highest frailty group had hazard ratios [95% confidence interval (CI)] of 2.09 (1.98–2.21) for mortality and 2.45 (2.28–2.63) for LTC for eFI; those for HFRS were 3.79 (3.56–4.03) and 3.31 (2.87–3.82), respectively. The area under the receiver operating characteristics curves for the unadjusted model at 48 months was 0.68 for death and 0.68 for LTC for eFI, and 0.73 and 0.70, respectively, for HFRS.

Conclusions
The frailty algorithms were applicable to the Japanese system and could contribute to the identifications of enrollees at risk of long-term mortality or LTC use.
Maximum and Time-Dependent Body Mass Index and Breast Cancer Incidence Among Postmenopausal Women in the Black Women’s Health Study
Authors: Gathirua-Mwangi Wambui G , Palmer Julie R , Champion Victoria , Castro-Webb Nelsy , Stokes Andrew C , Adams-Campbell Lucile , Marley Andrew R , Forman Michele R , Rosenberg Lynn , Bertrand Kimberly A 
Published: January 2022

Abstract
While excess weight is an established risk factor for postmenopausal breast cancer, consideration of maximum body mass index (maxBMI; BMI is calculated as weight (kg)/height (m)2) or BMI at a point in time relevant for breast carcinogenesis may offer new insights. We prospectively evaluated maxBMI and time-dependent BMI in relation to breast cancer incidence among 31,028 postmenopausal women in the Black Women’s Health Study. During 1995–2015, a total of 1,384 diagnoses occurred, including 787 estrogen-receptor (ER)–positive (ER+) cases and 310 ER-negative (ER−) cases. BMI was assessed at baseline and 2, 4, 6, and 8 years before diagnosis. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Compared with women with BMI &lt;25, those with BMI ≥35 had increased risk of ER+ breast cancer but not ER− breast cancer. For BMI assessed 2 years before diagnosis, the HRs for ER+ breast cancer associated with maxBMI ≥35 and time-dependent BMI ≥35 were 1.42 (95% confidence interval (CI): 1.10, 1.84) and 1.63 (95% CI: 1.25, 2.13), respectively. The corresponding HR for time-dependent BMI assessed 6 years before diagnosis was 1.95 (95% CI: 1.45, 2.62). These findings suggest strong associations of BMI with risk of ER+ breast cancer in postmenopausal women, regardless of timing of BMI assessment.
Social Threat Reduces Alcohol Consumption among College Students
Authors: Hua Jacqueline , Johnson Angela E , Pino Sofia , Olson David , Nguyen Tony , Lawson Lacye , Bedolla Brendan , Howell Jennifer L 
Published: January 2022

Abstract

Aims
Past research suggests that people report a greater desire to consume alcohol when they experience social threat—or threats to their social selves, such as social exclusion. Nevertheless, experimental research on the role of social threat in alcohol consumption is limited. The present study examined the causal relationship between social threat and wine consumption.

Methods
Undergraduate students (N = 83; Mage = 21.8 years old, SDage = 1.62 years old; 72.3% women; 61.4% Latinx/Hispanic) participated in a study under the pretense that they were in a focus group gauging students’ opinions of a bar being constructed at their university. During the study, participants and two confederate researchers completed a group activity in which they selected design elements for the bar. Participants were randomly assigned to one of two conditions. In the social threat condition, confederates rejected participants’ design choices and socially excluded them during a follow-up task. In the social acceptance condition, confederates supported participants’ choices and did not socially exclude them. All participants then completed a wine taste test.

Results
Contrary to predictions, an independent-samples t-test revealed that participants who experienced social threat consumed significantly less wine than those who were socially accepted, t(81) = −2.22, P = 0.03, d = −0.49. Furthermore, a linear regression test revealed that this effect persisted even when controlling for typical alcohol-consumption behavior, b = 56.09, t = −2.50, P = 0.02, d = −0.61.

Conclusion
The relationship between social threat and alcohol consumption may be more nuanced than anticipated. Discussion centers around two potential moderators including positive affect and identity.
Fitch’s paradox and truthmaking: Why Jago’s argument remains ineffective
Authors: Nyseth Fredrik 
Published: January 2022

Abstract
Recently, there have been several attempts to use the kind of reasoning found in Fitch’s knowability paradox to argue for rather sweeping metaphysical claims: Jago (2020) uses such reasoning to argue that every truth has a truthmaker, and Loss (2021) does so to argue that every fact is grounded. This strategy has been criticized by Trueman (2021), who points out that the same kind of reasoning could be used to establish entirely opposite conclusions. In response, Jago (2021) has offered a revised argument that is meant to avoid Trueman’s objection. I argue that this revised argument is in fact undermined by an objection quite similar to Trueman’s.
Regeneration from seed in herbaceous understorey of ancient woodlands of temperate Europe
Authors: Blandino Cristina , Fernández-Pascual Eduardo , Newton Rosemary J , Pritchard Hugh W 
Published: January 2022

Abstract

Background and Aims
European ancient woodlands are subject to land use change, and the distribution of herbaceous understorey species may be threatened because of their poor ability to colonize isolated forest patches. The regeneration niche can determine the species assembly of a community, and seed germination traits may be important descriptors of this niche.

Methods
We analysed ecological records for 208 herbaceous species regarded as indicators of ancient woodlands in Europe and, where possible, collated data on seed germination traits, reviewed plant regeneration strategies and measured seed internal morphology traits. The relationship between plant regeneration strategies and ecological requirements was explored for 57 species using ordination and classification analysis.

Key Results
Three regeneration strategies were identified. Species growing in closed-canopy areas tend to have morphological seed dormancy, often requiring darkness and low temperatures for germination, and their shoots emerge in early spring, thus avoiding the competition for light from canopy species. These species are separated into two groups: autumn and late winter germinators. The third strategy is defined by open-forest plants with a preference for gaps, forest edges and riparian forests. They tend to have physiological seed dormancy and germinate in light and at higher temperatures, so their seedlings emerge in spring or summer.

Conclusion
Seed germination traits are fundamental to which species are good or poor colonizers of the temperate forest understorey and could provide a finer explanation than adult plant traits of species distribution patterns. Seed dormancy type, temperature stratification and light requirements for seed germination are important drivers of forest floor colonization patterns and should be taken in account when planning successful ecological recovery of temperate woodland understories.
Multi-channel graph attention autoencoders for disease-related lncRNAs prediction
Authors: Sheng Nan , Huang Lan , Wang Yan , Zhao Jing , Xuan Ping , Gao Ling , Cao Yangkun 
Published: January 2022

AbstractMotivationPredicting disease-related long non-coding RNAs (lncRNAs) can be used as the biomarkers for disease diagnosis and treatment. The development of effective computational prediction approaches to predict lncRNA-disease associations (LDAs) can provide insights into the pathogenesis of complex human diseases and reduce experimental costs. However, few of the existing methods use microRNA (miRNA) information and consider the complex relationship between inter-graph and intra-graph in complex-graph for assisting prediction.ResultsIn this paper, the relationships between the same types of nodes and different types of nodes in complex-graph are introduced. We propose a multi-channel graph attention autoencoder model to predict LDAs, called MGATE. First, an lncRNA-miRNA-disease complex-graph is established based on the similarity and correlation among lncRNA, miRNA and diseases to integrate the complex association among them. Secondly, in order to fully extract the comprehensive information of the nodes, we use graph autoencoder networks to learn multiple representations from complex-graph, inter-graph and intra-graph. Thirdly, a graph-level attention mechanism integration module is adopted to adaptively merge the three representations, and a combined training strategy is performed to optimize the whole model to ensure the complementary and consistency among the multi-graph embedding representations. Finally, multiple classifiers are explored, and Random Forest is used to predict the association score between lncRNA and disease. Experimental results on the public dataset show that the area under receiver operating characteristic curve and area under precision-recall curve of MGATE are 0.964 and 0.413, respectively. MGATE performance significantly outperformed seven state-of-the-art methods. Furthermore, the case studies of three cancers further demonstrate the ability of MGATE to identify potential disease-correlated candidate lncRNAs. The source code and supplementary data are available at https://github.com/sheng-n/MGATE.Contacthuanglan@jlu.edu.cn, wy6868@jlu.edu.cn
Adult Safeguarding Legislation—The Key to Addressing Dualism of Agency and Structure? An Exploration of how Irish Social Workers Protect Adults at Risk in the Absence of Adult Safeguarding Legislation
Authors: Donnelly Sarah , O'Brien Marita 
Published: January 2022

Abstract
Adult safeguarding is characterised by competing debates related to core concepts including policy and legislative frameworks. In some countries, to reconcile the dualism of agency and structure, conflict and ambiguity are legislated for through the introduction of adult safeguarding legislation (ASL). This study set out to explore how the absence of ASL in the Irish context impacts safeguarding processes. A qualitative approach involving semi-structured interviews (N = 14) and focus groups (N = 2) with social workers, explored variables from adult safeguarding cases that contribute to positive outcomes in the absence of ASL, and where legislation could have helped, using a critical incident technique. Four themes emerged: practices and processes; coercive control and undue influence; information sharing and multiagency cooperation; and inability to access services. Whilst in the majority of cases existing policy and legislation achieved successful outcomes, legislative powers such as a duty to cooperate, to share information and powers of entry were deemed necessary. This study suggests limits to safeguards and protections within current policy. It illustrates the dualism that often exists between the agency of social workers to act to safeguard adults at risk and the structural rules, relationships and resources that can restrict the context of action in absence of legislation.
Elevated lncRNA-UCA1 upregulates EZH2 to promote inflammatory response in sepsis-induced pneumonia via inhibiting HOXA1
Authors: Zhang Xiaoqin , Tang Xuemei , Pan Lingai , Li Yongheng , Li Junlei , Li Chunling 
Published: January 2022

Abstract
Sepsis is characterized by a dysregulated inflammatory response. We aimed to explore the role of the long noncoding RNA urothelial carcinoma associated 1 (lncRNA UCA1)/enhancer of zeste homolog 2 (EZH2)/homeobox A1 (HOXA1) axis in sepsis-induced pneumonia. The sepsis rat models and RLE-6TN cellular sepsis-induced pneumonia models were established using ligation and puncture (CLP) and lipopolysaccharide (LPS). The expression of UCA1, EZH2, and HOXA1 in rat lung tissues and RLE-6TN cells was detected. Then, the CLP rats were respectively treated with lentivirus to upregulate or downregulate the expression of UCA1 and EZH2 to measure their roles in the pathology, apoptosis, inflammation and phosphorylated NF-κB p65(p-p65) levels in CLP rat lung tissues. UCA1 and EZH2 expression was upregulated or downregulated in LPS-induced RLE-6TN cells to explore their effects on cell viability, apoptosis, inflammation and p-p65 levels. The interactions among UCA1, EZH2, and HOXA1 were identified. UCA1 and EZH2 were upregulated whereas HOXA1 was downregulated in CLP rat lung tissues and LPS-induced RLE-6TN cells. Elevated UCA1 or increased EZH2 aggravated pathology and promoted apoptosis, inflammation and phosphorylated NF-κB p-65 levels in CLP rat lung tissues, and inhibited viability while facilitated apoptosis, inflammation and phosphorylated NF-κB p-65 levels in LPS-induced RLE-6TN cells. Silenced EZH2 reversed the effects of UCA1 elevation on sepsis-induced pneumonia. UCA1 suppressed HOXA1 expression through physically interacting with EZH2. UCA1 overexpression upregulates EZH2 to repress HOXA1 expression, thus aggravating the progression of sepsis-induced pneumonia, which could be alleviated by EZH2 inhibition.
Electrophysiological heterogeneity in large populations of rabbit ventricular cardiomyocytes
Authors: Lachaud Quentin , Aziz Muhamad Hifzhudin Noor , Burton Francis L , Macquaide Niall , Myles Rachel C , Simitev Radostin D , Smith Godfrey L 
Published: January 2022

Abstract

Aims
Cardiac electrophysiological heterogeneity includes: (i) regional differences in action potential (AP) waveform, (ii) AP waveform differences in cells isolated from a single region, (iii) variability of the contribution of individual ion currents in cells with similar AP durations (APDs). The aim of this study is to assess intra-regional AP waveform differences, to quantify the contribution of specific ion channels to the APD via drug responses and to generate a population of mathematical models to investigate the mechanisms underlying heterogeneity in rabbit ventricular cells.

Methods and results
APD in ∼50 isolated cells from subregions of the LV free wall of rabbit hearts were measured using a voltage-sensitive dye. When stimulated at 2 Hz, average APD90 value in cells from the basal epicardial region was 254 ± 25 ms (mean ± standard deviation) in 17 hearts with a mean interquartile range (IQR) of 53 ± 17 ms. Endo-epicardial and apical-basal APD90 differences accounted for ∼10% of the IQR value. Highly variable changes in APD occurred after IK(r) or ICa(L) block that included a sub-population of cells (HR) with an exaggerated (hyper) response to IK(r) inhibition. A set of 4471 AP models matching the experimental APD90 distribution was generated from a larger population of models created by random variation of the maximum conductances (Gmax) of 8 key ion channels/exchangers/pumps. This set reproduced the pattern of cell-specific responses to ICa(L) and IK(r) block, including the HR sub-population. The models exhibited a wide range of Gmax values with constrained relationships linking ICa(L) with IK(r), ICl, INCX, and INaK.

Conclusion
Modelling the measured range of inter-cell APDs required a larger range of key Gmax values indicating that ventricular tissue has considerable inter-cell variation in channel/pump/exchanger activity. AP morphology is retained by relationships linking specific ionic conductances. These interrelationships are necessary for stable repolarization despite large inter-cell variation of individual conductances and this explains the variable sensitivity to ion channel block.
Age-related enhanced degeneration of bioprosthetic valves due to leaflet calcification, tissue crosslinking, and structural changes
Authors: Xue Yingfei , Kossar Alexander P , Abramov Alexey , Frasca Antonio , Sun Mingze , Zyablitskaya Mariya , Paik David , Kalfa David , Della Barbera Mila , Thiene Gaetano , Kozaki Satoshi , Kawashima Takayuki , Gorman Joseph H , Gorman Robert C , Gillespie Matthew J , Carreon Chrystalle Katte , Sanders Stephen P , Levy Robert J , Ferrari Giovanni 
Published: January 2022

AbstractAimsBioprosthetic heart valves (BHVs), made from glutaraldehyde-fixed heterograft materials, are subject to more rapid structural valve degeneration (SVD) in paediatric and young adult patients. Differences in blood biochemistries and propensity for disease accelerate SVD in these patients, which results in multiple re-operations with compounding risks. The goal of this study is to investigate the mechanisms of BHV biomaterial degeneration and present models for studying SVD in young patients and juvenile animal models.Methods and resultsWe studied SVD in clinical BHV explants from paediatric and young adult patients, juvenile sheep implantation model, rat subcutaneous implants, and an ex vivo serum incubation model. BHV biomaterials were analysed for calcification, collagen microstructure (alignment and crimp), and crosslinking density. Serum markers of calcification and tissue crosslinking were compared between young and adult subjects. We demonstrated that immature subjects were more susceptible to calcification, microstructural changes, and advanced glycation end products formation. In vivo and ex vivo studies comparing immature and mature subjects mirrored SVD in clinical observations. The interaction between host serum and BHV biomaterials leads to significant structural and biochemical changes which impact their functions.ConclusionsThere is an increased risk for accelerated SVD in younger subjects, both experimental animals and patients. Increased calcification, altered collagen microstructure with loss of alignment and increased crimp periods, and increased crosslinking are three main characteristics in BHV explants from young subjects leading to SVD. Together, our studies establish a basis for assessing the increased susceptibility of BHV biomaterials to accelerated SVD in young patients.