bluuebunny/crossref_metadata_2025_split huggingface dataset:
Linking Big Five Personality Domains and Facets to Alcohol (Mis)Use: A Systematic Review and Meta-Analysis
Authors: Lui P Priscilla , Chmielewski Michael , Trujillo Mayson , Morris Joseph , Pigott Terri D 
Published: March 2021

Abstract

Aims
The goal of this investigation was to synthesize (un)published studies linking Big Five personality domains and facets to a range of alcohol use outcomes. Meta-analyses were conducted to quantify the unique associations between alcohol use outcomes and each Big Five personality domains over and above other domains. Within each domain, meta-analyses also were conducted to examine the unique contribution of each personality facet in predicting alcohol use outcomes.

Methods
Systematic literature reviews were performed in PsycINFO and PubMed using keywords related to alcohol use and personality. Peer-reviewed and unpublished studies were screened and coded for the meta-analyses. A total of 80 independent samples were subjected to correlated effects meta-regressions.

Results
Over and above other Big Five personality domains, both conscientiousness and agreeableness were negatively correlated with alcohol consumption, risky/hazardous drinking and negative drinking-related consequences. Facet-level analyses indicated that deliberation and dutifulness were uniquely associated with alcohol (mis)use over and above other conscientiousness facets, and compliance and straightforwardness were uniquely associated with alcohol (mis)use over and above other agreeableness facets. Extraversion—namely excitement seeking—was correlated with alcohol consumption, whereas neuroticism—namely impulsiveness and angry hostility—was correlated with negative drinking-related consequences.

Conclusions
Personality characteristics are robust correlates of alcohol (mis)use. Examining relevant narrowband traits can inform mechanisms by which personality affects drinking behaviors and related problems, and ways to enhance clinical interventions for alcohol use disorder. Gaps in this literature and future research directions are discussed.
Expanding the Progressive Tension Suture Concept: A Study of Its Utility in Body Contouring Procedures
Authors: Agochukwu-Nwubah Nneamaka , Patronella Christopher 
Published: March 2021

Abstract

Background
Seroma is one of the most common complications following body contouring. Progressive tension sutures (PTSs) have been shown to decrease the seroma rate following abdominoplasty, component separation, and facelifts and following latissimus flap and deep inferior epigastric artery perforator flap harvest.

Objectives
The aim of this study was to investigate the effects of PTS techniques and their impact on the seroma rate in body contouring flap procedures.

Methods
A retrospective review was performed of all patients undergoing a flap procedure (defined as any procedure that produces a dead space and subsequent susceptibility to seroma) by a single surgeon at a single institution over 3 years. All patients/procedures utilized PTS techniques, as is routine in the surgeon’s practice. No drains were used. Patient demographics and complications, including seroma, were tracked.

Results
A total of 441 flap procedures were performed in 351 patients over the 3-year study period. These procedures comprised 305 abdominoplasties, 68 lower body lifts, 17 medial thigh lifts, 36 brachioplasties, and 15 torsoplasties. PTSs were used in all procedures. No drains were utilized. Complications occurred in 72 procedures (16.3%), with the most common complication being minor wound dehiscence without infection. There were no cases of seroma.

Conclusions
PTSs represent an effective technique for reducing the seroma rate, eliminating the potential space and promoting tissue adherence in flap procedures for body contouring. This is the first study of its kind demonstrating the use and role of this technique in body contouring procedures beyond the scope of abdominoplasty.

Level of Evidence: 4
Habitat disturbance alters color contrast and the detectability of cryptic and aposematic frogs
Authors: Barnett James B , Varela Brandon J , Jennings Ben J , Lesbarrères David , Pruitt Jonathan N , Green David M 
Published: March 2021

Abstract
Animals use color both to conceal and signal their presence, with patterns that match the background, disrupt shape recognition, or highlight features important for communication. The forms that these color patterns take are responses to the visual systems that observe them and the environments within which they are viewed. Increasingly, however, these environments are being affected by human activity. We studied how pattern characteristics and habitat change may affect the detectability of three frog color patterns from the Bocas del Toro archipelago in Panama: Beige-Striped Brown Allobates talamancae and two spotted morphs of Oophaga pumilio, Black-Spotted Green and Black-Spotted Red. To assess detectability, we used visual modeling of conspecifics and potential predators, along with a computer-based detection experiment with human participants. Although we found no evidence for disruptive camouflage, we did find clear evidence that A. talamancae stripes are inherently more cryptic than O. pumilio spots regardless of color. We found no evidence that color pattern polytypism in O. pumilio is related to differences in the forest floor between natural sites. We did, however, find strong evidence that human disturbance affects the visual environment and modifies absolute and rank order frog detectability. Human-induced environmental change reduces the effectiveness of camouflage in A. talamancae, reduces detectability of Black-Spotted Green O. pumilio, and increases chromatic contrast, but not detectability, in Black-Spotted Red O. pumilio. Insofar as predators may learn about prey defenses and make foraging decisions based on relative prey availability and suitability, such changes may have wider implications for predator–prey dynamics.
SSI–DDI: substructure–substructure interactions for drug–drug interaction prediction
Authors: Nyamabo Arnold K , Yu Hui , Shi Jian-Yu 
Published: March 2021

AbstractA major concern with co-administration of different drugs is the high risk of interference between their mechanisms of action, known as adverse drug–drug interactions (DDIs), which can cause serious injuries to the organism. Although several computational methods have been proposed for identifying potential adverse DDIs, there is still room for improvement. Existing methods are not explicitly based on the knowledge that DDIs are fundamentally caused by chemical substructure interactions instead of whole drugs’ chemical structures. Furthermore, most of existing methods rely on manually engineered molecular representation, which is limited by the domain expert’s knowledge.We propose substructure–substructure interaction–drug–drug interaction (SSI–DDI), a deep learning framework, which operates directly on the raw molecular graph representations of drugs for richer feature extraction; and, most importantly, breaks the DDI prediction task between two drugs down to identifying pairwise interactions between their respective substructures. SSI–DDI is evaluated on real-world data and improves DDI prediction performance compared to state-of-the-art methods. Source code is freely available at https://github.com/kanz76/SSI-DDI.
Systematic comparison of ligand-based and structure-based virtual screening methods on poly (ADP-ribose) polymerase-1 inhibitors
Authors: Zhao Yue , Wang Xiang-Gui , Ma Zhong-Ye , Xiong Guo-Li , Yang Zhi-Jiang , Cheng Yan , Lu Ai-Ping , Huang Zhi-Jun , Cao Dong-Sheng 
Published: March 2021

Abstract
The poly (ADP-ribose) polymerase-1 (PARP1) has been regarded as a vital target in recent years and PARP1 inhibitors can be used for ovarian and breast cancer therapies. However, it has been realized that most of PARP1 inhibitors have disadvantages of low solubility and permeability. Therefore, by discovering more molecules with novel frameworks, it would have greater opportunities to apply it into broader clinical fields and have a more profound significance. In the present study, multiple virtual screening (VS) methods had been employed to evaluate the screening efficiency of ligand-based, structure-based and data fusion methods on PARP1 target. The VS methods include 2D similarity screening, structure-activity relationship (SAR) models, docking and complex-based pharmacophore screening. Moreover, the sum rank, sum score and reciprocal rank were also adopted for data fusion methods. The evaluation results show that the similarity searching based on Torsion fingerprint, six SAR models, Glide docking and pharmacophore screening using Phase have excellent screening performance. The best data fusion method is the reciprocal rank, but the sum score also performs well in framework enrichment. In general, the ligand-based VS methods show better performance on PARP1 inhibitor screening. These findings confirmed that adding ligand-based methods to the early screening stage will greatly improve the screening efficiency, and be able to enrich more highly active PARP1 inhibitors with diverse structures.
Forman persistent Ricci curvature (FPRC)-based machine learning models for protein–ligand binding affinity prediction
Authors: Wee JunJie , Xia Kelin 
Published: March 2021

AbstractArtificial intelligence (AI) techniques have already been gradually applied to the entire drug design process, from target discovery, lead discovery, lead optimization and preclinical development to the final three phases of clinical trials. Currently, one of the central challenges for AI-based drug design is molecular featurization, which is to identify or design appropriate molecular descriptors or fingerprints. Efficient and transferable molecular descriptors are key to the success of all AI-based drug design models. Here we propose Forman persistent Ricci curvature (FPRC)-based molecular featurization and feature engineering, for the first time. Molecular structures and interactions are modeled as simplicial complexes, which are generalization of graphs to their higher dimensional counterparts. Further, a multiscale representation is achieved through a filtration process, during which a series of nested simplicial complexes at different scales are generated. Forman Ricci curvatures (FRCs) are calculated on the series of simplicial complexes, and the persistence and variation of FRCs during the filtration process is defined as FPRC. Moreover, persistent attributes, which are FPRC-based functions and properties, are employed as molecular descriptors, and combined with machine learning models, in particular, gradient boosting tree (GBT). Our FPRC-GBT models are extensively trained and tested on three most commonly-used datasets, including PDBbind-2007, PDBbind-2013 and PDBbind-2016. It has been found that our results are better than the ones from machine learning models with traditional molecular descriptors.
Novel metric for hyperbolic phylogenetic tree embeddings
Authors: Matsumoto Hirotaka , Mimori Takahiro , Fukunaga Tsukasa 
Published: March 2021

Abstract
Advances in experimental technologies, such as DNA sequencing, have opened up new avenues for the applications of phylogenetic methods to various fields beyond their traditional application in evolutionary investigations, extending to the fields of development, differentiation, cancer genomics, and immunogenomics. Thus, the importance of phylogenetic methods is increasingly being recognized, and the development of a novel phylogenetic approach can contribute to several areas of research. Recently, the use of hyperbolic geometry has attracted attention in artificial intelligence research. Hyperbolic space can better represent a hierarchical structure compared to Euclidean space, and can therefore be useful for describing and analyzing a phylogenetic tree. In this study, we developed a novel metric that considers the characteristics of a phylogenetic tree for representation in hyperbolic space. We compared the performance of the proposed hyperbolic embeddings, general hyperbolic embeddings, and Euclidean embeddings, and confirmed that our method could be used to more precisely reconstruct evolutionary distance. We also demonstrate that our approach is useful for predicting the nearest-neighbor node in a partial phylogenetic tree with missing nodes. Furthermore, we proposed a novel approach based on our metric to integrate multiple trees for analyzing tree nodes or imputing missing distances. This study highlights the utility of adopting a geometric approach for further advancing the applications of phylogenetic methods.
Intravital Imaging of Neocortical Heterotopia Reveals Aberrant Axonal Pathfinding and Myelination around Ectopic Neurons
Authors: Li Alice M , Hill Robert A , Grutzendler Jaime 
Published: March 2021

Abstract
Neocortical heterotopia consist of ectopic neuronal clusters that are frequently found in individuals with cognitive disability and epilepsy. However, their pathogenesis remains poorly understood due in part to a lack of tractable animal models. We have developed an inducible model of focal cortical heterotopia that enables their precise spatiotemporal control and high-resolution optical imaging in live mice. Here, we report that heterotopia are associated with striking patterns of circumferentially projecting axons and increased myelination around neuronal clusters. Despite their aberrant axonal patterns, in vivo calcium imaging revealed that heterotopic neurons remain functionally connected to other brain regions, highlighting their potential to influence global neural networks. These aberrant patterns only form when heterotopia are induced during a critical embryonic temporal window, but not in early postnatal development. Our model provides a new way to investigate heterotopia formation in vivo and reveals features suggesting the existence of developmentally modulated, neuron-derived axon guidance and myelination factors.
Hepatitis C Care Cascades for 3 Populations at High Risk: Low-income Trans Women, Young People Who Inject Drugs, and Men Who Have Sex With Men and Inject Drugs
Authors: Facente Shelley N , Patel Sheena , Hecht Jennifer , Wilson Erin , McFarland Willi , Page Kimberly , Vickerman Peter , Fraser Hannah , Burk Katie , Morris Meghan D 
Published: March 2021

Abstract

Background
To achieve elimination of hepatitis C virus (HCV) infection, limited resources can be best allocated through estimation of “care cascades” among groups disproportionately affected. In San Francisco and elsewhere, these groups include young (age ≤ 30 years) people who inject drugs (YPWID), men who have sex with men who inject drugs (MSM-IDU), and low-income trans women.

Methods
We developed cross-sectional HCV care cascades for YPWID, MSM-IDU, and trans women using diverse data sources. Population sizes were estimated using an inverse variance-weighted average of estimates from the peer-reviewed literature between 2013 and 2019. Proportions of past/current HCV infection, diagnosed infection, treatment initiation, and evidence of cure (sustained virologic response at 12 weeks posttreatment) were estimated from the literature using data from 7 programs and studies in San Francisco between 2015 and 2020.

Results
The estimated number of YPWID in San Francisco was 3748; 58.4% had past/current HCV infection, of whom 66.4% were diagnosed with current infection, 9.1% had initiated treatment, and 50% had confirmed cure. The corresponding figures for the 8135 estimated MSM-IDU were: 29.4% with past/current HCV infection, 70.3% diagnosed with current infection, 28.4% initiated treatment, and 38.9% with confirmed cure. For the estimated 951 low-income trans women, 24.8% had past/current HCV infection, 68.9% were diagnosed with current infection, 56.5% initiated treatment, and 75.5% had confirmed cure.

Conclusions
In all 3 populations, diagnosis rates were relatively high; however, attention is needed to urgently increase treatment initiation in all groups, with a particular unmet need among YPWID.
Athletes with valvular heart disease and competitive sports: a position statement of the Sport Cardiology Section of the European Association of Preventive Cardiology
Authors: van Buuren Frank , Gati Sabiha , Sharma Sanjay , Papadakis Michael , Adami Paolo Emilio , Niebauer Josef , Pelliccia Antonio , Rudolph Volker , Börjesson Mats , Carre Francois , Solberg Erik , Heidbuchel Hein , Caselli Stefano , Corrado Domenico , Serratosa Luis , Biffi Alessandro , Pressler Axel , Schmied Christian , Panhuyzen-Goedkoop Nicole M , Rasmussen Hanne Kruse , La Gerche Andre , Faber Lothar , Bogunovic Nikola , D’Ascenzi Flavio , Mellwig Klaus Peter 
Published: March 2021

Abstract
This article provides an overview of the recommendations from the Sports Cardiology section of the European Association of Preventive Cardiology on sports participation in individuals with valvular heart disease (VHD). The aim of these recommendations is to encourage regular physical activity including sports participation, with reasonable precaution to ensure a high level of safety for all affected individuals. Valvular heart disease is usually an age-related degenerative process, predominantly affecting individuals in their fifth decade and onwards. However, there is an increasing group of younger individuals with valvular defects. The diagnosis of cardiac disorders during routine cardiac examination often raises questions about on-going participation in competitive sport with a high dynamic or static component and the level of permissible physical effort during recreational exercise. Although the natural history of several valvular diseases has been reported in the general population, little is known about the potential influence of chronic intensive physical activity on valve function, left ventricular remodelling pulmonary artery pressure, and risk of arrhythmia. Due to the sparsity of data on the effects of exercise on VHD, the present document is largely based on clinical experience and expert opinion.
Encyclopaedic Autobiography in Roland Barthes’s Roland Barthes (1975) and Amy Krouse Rosenthal’s Encyclopedia of an Ordinary Life (2004)
Authors: O’Meara Lucy 
Published: March 2021

Abstract
This article examines two works of autobiographical literature that are structured in fragmentary form and that engage explicitly with the formal and conceptual model of the encyclopaedia. One of the works, Roland Barthes’s Roland Barthes par Roland Barthes (1975) is by a literary theorist, and the other, Amy Krouse Rosenthal’s Encyclopedia of an Ordinary Life (2004) is by a popular mainstream columnist and broadcaster. Both works, despite a disparity of tone and material, display similar convictions about the utility of what I will call ‘encyclopaedic autobiography’ as a form. I argue that these autobiographical works allow us to reconceive not only of autobiography but of the question of what ‘encyclopaedic literature’ might be.
Policy foundations for transformation: a gender analysis of adolescent health policy documents in South Africa
Authors: Jacobs Tanya , George Asha , De Jong Michelle 
Published: March 2021

AbstractThe Sustainable Development Goals (SDGs) and the United Nations Global Strategy (2016–30) emphasize that all women, children and adolescents ‘survive, thrive and transform’. A key element of this global policy framework is that gender equality is a stand-alone goal as well as a cross-cutting priority. Gender inequality and intersecting social and structural determinants shape health systems, including the content of policy documents, with implications for implementation. This article applies a gender lens to policy documents by national government bodies that have mandates on adolescent health in South Africa. Data were 15 policy documents, authored between 2003 and 2018, by multiple actors. The content analysis was guided by key lines of enquiry, and policy documents were classified along the continuum of gender blind to gender transformative. Only three policy documents defined gender, and if gender was addressed, it was mostly in gender-sensitive ways, at times gender specific, but rarely gender transformative. Building on this, a critical discourse analysis identified what is problematized and what is left unproblematized by actors, identifying the key interrelated dominant and marginalized discourses, as well as the ‘silences’ embedded in policy documents. The discourse analysis revealed that dominant and marginalized discourses reflect how gender is conceptualized as fixed, categorical identities, vs as fluid social processes, with implications for how rights and risks are understood. The discourses substantiate an over-riding focus on adolescent girls, outside of the context of power relations, with minimal attention to boys in terms of their own health or through a gender lens, as well as little consideration of LGBTIQ+ adolescents beyond HIV. Dynamic and complex relationships exist between the South Africa context, actors, content and processes, in shaping both how gender is problematized and how ‘solutions’ are represented in these policies. How gender is conceptualized matters, both for policy analysis and for praxis, and policy documents can be part of foundations for transforming gender and intersecting power relations.
The effects of polio eradication efforts on health systems: a cross-country analysis using the Develop–Distort Dilemma
Authors: Rodriguez Daniela C , Neel Abigail H , Mahendradhata Yodi , Deressa Wakgari , Owoaje Eme , Akinyemi Oluwaseun , Sarker Malabika , Mafuta Eric , Gupta Shiv D , Salehi Ahmad Shah , Jain Anika , Alonge Olakunle 
Published: March 2021

Abstract
Vertical disease control programmes have enormous potential to benefit or weaken health systems, and it is critical to understand how programmes’ design and implementation impact the health systems and communities in which they operate. We use the Develop–Distort Dilemma (DDD) framework to understand how the Global Polio Eradication Initiative (GPEI) distorted or developed local health systems. We include document review and 176 interviews with respondents at the global level and across seven focus countries (Afghanistan, Bangladesh, Democratic Republic of Congo, Ethiopia, India, Indonesia and Nigeria). We use DDD domains, contextual factors and transition planning to analyse interactions between the broader context, local health systems and the GPEI to identify changes. Our analysis confirms earlier research including improved health worker, laboratory and surveillance capacity, monitoring and accountability, and efforts to reach vulnerable populations, whereas distortions include shifting attention from routine health services and distorting local payment and incentives structures. New findings highlight how global-level governance structures evolved and affected national actors; issues of country ownership, including for data systems, where the polio programme is not indigenously financed; how expectations of success have affected implementation at programme and community level; and unresolved tensions around transition planning. The decoupling of polio eradication from routine immunization, in particular, plays an outsize role in these issues as it removed attention from system strengthening. In addition to drawing lessons from the GPEI experience for other efforts, we also reflect on the use of the DDD framework for assessing programmes and their system-level impacts. Future eradication efforts should be approached carefully, and new initiatives of any kind should leverage the existing health system while considering equity, inclusion and transition from the start.