bluuebunny/crossref_metadata_2025_split huggingface dataset:
Narcissism and Quality of Life
Authors: Ellison William D. , Acuff M. Chase , Kealy David , Joyce Anthony S. , Ogrodniczuk John S. 
Published: March 2020

Abstract
Pathological narcissism is associated with decreased quality of life, even when accounting for psychiatric comorbidity, but the processes behind this association are unclear. Here, we evaluate whether disturbed relatedness accounts for the negative association between narcissistic pathology and quality of life. Patients in day hospital treatment for personality pathology (N = 218, 70% female; mean age, 37.3 years) completed measures of personality disorder features, quality of life, and global symptoms before beginning treatment. Quality of object relations was assessed through semistructured interviews. Regression-based mediation analyses showed that narcissistic personality traits relate to quality of life through quality of object relations, controlling for other personality disorders and psychiatric distress. These results highlight the importance of problematic relationship patterns for the low quality of life associated with pathological narcissism. Clinicians working with narcissistic individuals should consider psychotherapies that promote mature relatedness and should attend to facilitating the quality of patients' relationships.
Chest X-ray Sizing for Lung Transplants Reflects Pulmonary Diagnosis and Body Composition and Is Associated With Primary Graft Dysfunction Risk
Authors: Li David , Weinkauf Justin , Hirji Alim , Nagendran Jayan , Kapasi Ali , Lien Dale , Halloran Kieran 
Published: March 2020

Background.
Donor-recipient oversizing based on predicted total lung capacity (pTLC) is associated with a reduced risk of primary graft dysfunction (PGD) following lung transplant but the effect varies with the recipient’s diagnosis. Chest x-ray (CXR) measurements to estimate actual total lung capacity (TLC) could account for disease-related lung volume changes, but their role in size matching is unknown.

Methods.
We reviewed adult double lung transplant recipients 2007–2016 and measured apex-to-costophrenic-angle distance (=lung height) on pretransplant donor and recipient CXRs (oversized donor-recipient ratio >1; undersized ≤1]. We tested the relationship between recipient lung height to actual TLC; between lung height ratio and donor/recipient characteristics; and between both lung height ratio or pTLC ratio and grade 3 PGD with logistic regression.

Results.
Two hundred six patients were included and 32 (16%) developed grade 3 PGD at 48 or 72 hours. Recipient lung height was related to TLC (r
2=0.7297). Pulmonary diagnosis, donor BMI, and recipient BMI were the major determinants of lung height ratio (AUC 0.9036). Lung height ratio oversizing was associated with increased risk of grade 3 PGD (odds ratio, 2.51; 95% confidence interval, 1.17-5.47; P = 0.0182) in this cohort, while pTLC ratio oversizing was not.

Conclusions.
CXR lung height estimates actual TLC and reflects pulmonary diagnosis and body composition. Oversizing via CXR lung height ratio increased PGD risk moreso than pTLC-based oversizing in our cohort.
General Model for COVID-19 Spreading with Consideration of Intercity Migration, Insufficient Testing and Active Intervention: Application to Study of Pandemic Progression in Japan and USA
Authors: Zhan Choujun , Tse Chi K. , Lai Zhikang , Chen Xiaoyun , Mo Mingshen 
Published: March 2020

AbstractA new Susceptible-Exposed-Infected-Confirmed-Removed (SEICR) model with consideration of intercity travel and active intervention is proposed for predicting the spreading progression of the 2019 New Coronavirus Disease (COVID-19). The model takes into account the known or reported number of infected cases being fewer than the actual number of infected individuals due to insufficient testing. The model integrates intercity travel data to track the movement of exposed and infected individuals among cities, and allows different levels of active intervention to be considered so that realistic prediction of the number of infected individuals can be performed. The data of the COVID-19 infection cases and the intercity travel data for Japan (January 15 to March 20, 2020) and the USA (February 20 to March 20, 2020) are used to illustrate the prediction of the pandemic progression in 47 regions of Japan and 50 states (plus a federal district) in the USA. By fitting the model with the data, we reveal that, as of March 19, 2020, the number of infected individuals in Japan and the USA could be twenty-fold and five-fold as many as the number of confirmed cases, respectively. Moreover, the model generates future progression profiles for different levels of intervention by setting the parameters relative to the values found from the data fitting. Results show that without tightening the implementation of active intervention, Japan and the USA will see about 6.55% and 18.2% of the population eventually infected, and with drastic ten-fold elevated active intervention, the number of people eventually infected can be reduced by up to 95% in Japan and 70% in the USA. Finally, an assessment of the relative effectiveness of active intervention and personal protective measures is discussed. With a highly vigilant public maintaining personal hygiene and exercising strict protective measures, the percentage of population infected can be further reduced to 0.23% in Japan and 2.7% in the USA.
Online narrative guides for illuminating tissue atlas data and digital pathology images
Authors: Rashid Rumana , Chen Yu-An , Hoffer John , Muhlich Jeremy L. , Lin Jia-Ren , Krueger Robert , Pfister Hanspeter , Mitchell Richard , Santagata Sandro , Sorger Peter K. 
Published: March 2020

ABSTRACTThe recent development of highly multiplexed tissue imaging promises to substantially accelerate research into basic biology and human disease. Concurrently, histopathology in a clinical setting is undergoing a rapid transition to digital methods. Online tissue atlases involving highly multiplexed images of research and clinical specimens will soon join genomics as a systematic source of information on the molecular basis of disease and therapeutic response. However, even with recent advances in machine learning, experience with anatomic pathology shows that there is no immediate substitute for expert visual review, annotation, and description of tissue images. In this perspective we review the ecosystem of software available for analysis of tissue images and identify a need for interactive guides or “digital docents” that allow experts to help make complex images intelligible. We illustrate this idea usingMinervasoftware and discuss how interactive image guides are being integrated into multi-omic browsers for effective dissemination of atlas data.
A Genomic Survey of SARS-CoV-2 Reveals Multiple Introductions into Northern California without a Predominant Lineage
Authors: Deng Xianding , Gu Wei , Federman Scot , Plessis Louis du , Pybus Oliver G. , Faria Nuno , Wang Candace , Yu Guixia , Pan Chao-Yang , Guevara Hugo , Sotomayor-Gonzalez Alicia , Zorn Kelsey , Gopez Allan , Servellita Venice , Hsu Elaine , Miller Steve , Bedford Trevor , Greninger Alexander L. , Roychoudhury Pavitra , Starita Lea M. , Famulare Michael , Chu Helen Y. , Shendure Jay , Jerome Keith R. , Anderson Catie , Gangavarapu Karthik , Zeller Mark , Spencer Emily , Andersen Kristian G. , MacCannell Duncan , Paden Clinton R. , Li Yan , Zhang Jing , Tong Suxiang , Armstrong Gregory , Morrow Scott , Willis Matthew , Matyas Bela T. , Mase Sundari , Kasirye Olivia , Park Maggie , Chan Curtis , Yu Alexander T. , Chai Shua J. , Villarino Elsa , Bonin Brandon , Wadford Debra A. , Chiu Charles Y. 
Published: March 2020

AbstractThe COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 has spread globally, resulting in >300,000 reported cases worldwide as of March 21st, 2020. Here we investigate the genetic diversity and genomic epidemiology of SARS-CoV-2 in Northern California using samples from returning travelers, cruise ship passengers, and cases of community transmission with unclear infection sources. Virus genomes were sampled from 29 patients diagnosed with COVID-19 infection from Feb 3rd through Mar 15th. Phylogenetic analyses revealed at least 8 different SARS-CoV-2 lineages, suggesting multiple independent introductions of the virus into the state. Virus genomes from passengers on two consecutive excursions of the Grand Princess cruise ship clustered with those from an established epidemic in Washington State, including the WA1 genome representing the first reported case in the United States on January 19th. We also detected evidence for presumptive transmission of SARS-CoV-2 lineages from one community to another. These findings suggest that cryptic transmission of SARS-CoV-2 in Northern California to date is characterized by multiple transmission chains that originate via distinct introductions from international and interstate travel, rather than widespread community transmission of a single predominant lineage. Rapid testing and contact tracing, social distancing, and travel restrictions are measures that will help to slow SARS-CoV-2 spread in California and other regions of the USA.
Predicting the evolution and control of COVID-19 pandemic in Portugal
Authors: Pais Ricardo J. , Taveira Nuno 
Published: March 2020

AbstractThe Coronavirus (COVID-19) is a world pandemic that has been affecting Portugal since 2 of March 2020. Portuguese government has been making efforts to contradict the exponential growth through social isolation measures. We have developed a mathematical model to predict the impact of such measures in the number of infected cases and peak of infection. We estimate the peak to be around 2 million infected cases by the beginning of May if no additional measures are taken. The model shows that current measures effectively isolated 25-30% of the population, contributing for some reduction on the infection peak. Importantly, our simulations show that the infection burden can be further reduced with higher isolation degree, providing information for a second intervention.
SCHNEL: Scalable clustering of high dimensional single-cell data
Authors: Abdelaal Tamim , de Raadt Paul , Lelieveldt Boudewijn P.F. , Reinders Marcel J.T. , Mahfouz Ahmed 
Published: March 2020

AbstractMotivationSingle cell data measures multiple cellular markers at the single-cell level for thousands to millions of cells. Identification of distinct cell populations is a key step for further biological understanding, usually performed by clustering this data. Dimensionality reduction based clustering tools are either not scalable to large datasets containing millions of cells, or not fully automated requiring an initial manual estimation of the number of clusters. Graph clustering tools provide automated and reliable clustering for single cell data, but suffer heavily from scalability to large datasets.ResultsWe developed SCHNEL, a scalable, reliable and automated clustering tool for high-dimensional single-cell data. SCHNEL transforms large high-dimensional data to a hierarchy of datasets containing subsets of data points following the original data manifold. The novel approach of SCHNEL combines this hierarchical representation of the data with graph clustering, making graph clustering scalable to millions of cells. Using seven different cytometry datasets, SCHNEL outperformed three popular clustering tools for cytometry data, and was able to produce meaningful clustering results for datasets of 3.5 and 17.2 million cells within workable timeframes. In addition, we show that SCHNEL is a general clustering tool by applying it to single-cell RNA sequencing data, as well as a popular machine learning benchmark dataset MNIST.Availability and ImplementationImplementation is available on GitHub (https://github.com/paulderaadt/HSNE-clustering)Contacta.mahfouz@lumc.nlSupplementary informationSupplementary data are available atBioinformaticsonline.
Retromer forms low order oligomers on supported lipid bilayers
Authors: Deatherage Catherine L. , Nikolaus Joerg , Karatekin Erdem , Burd Christopher G. 
Published: March 2020

AbstractRetromer is a protein sorting device that orchestrates the selection and export of integral membrane proteins from the endosome via retrograde and plasma membrane recycling pathways. Long standing hypotheses regarding the Retromer sorting mechanism posit that oligomeric interactions between Retromer and associated accessory factors on the endosome membrane drives clustering of Retromer-bound integral membrane cargo prior to its packaging into a nascent transport carrier. To test this hypothesis, we examined interactions between the components of the SNX3-Retromer sorting pathway using quantitative single particle fluorescence microscopy of a reconstituted system comprising a supported bilayer, Retromer, a model cargo protein, the accessory proteins SNX3, RAB7, and the Retromer-binding segment of the WASHC2C subunit of the WASH complex. The predominant species of membrane associated Retromer are low order: monomers (∼18%), dimers (∼35%), trimers (∼24%) and tetramers (∼24%). Unexpectedly, neither cargo nor accessory factors promote Retromer oligomerization on a supported bilayer. The results indicate that Retromer has an intrinsic propensity to form low order oligomers and that neither membrane association nor accessory factors potentiate oligomerization. Hence, Retromer is a minimally concentrative sorting device adapted to bulk membrane trafficking from the endosomal system.
Oil India Limited – overcoming the challenges in competency planning
Authors: Kumar Abhishek , Jaisinghani Dinesh , Tiwari Shailesh 
Published: March 2020

Learning outcomes
The case highlights the initiatives that can be taken by the management of a large organization to bring more objectivity in promotion policies and to make the process of succession management more scientific. After completing the case, the following teaching objectives should be achieved. Students should be able to comprehend the industrial structure and the key challenges faced by oil and gas industry in an emerging economy – India; students should understand how a large organization can bring objectivity and transparency in its promotion policy by focussing on merit; students can analyse the challenges faced by a large organization in implementing changes in its promotion policy; and students should be able to understand the mechanism of alignment of assessment centres with the promotion policy.

Case overview/synopsis
The case deals with bringing change in the competency planning in a large organization. The focus of the case is to explain how a large organization can bring about a radical change in promotion policy especially for employees at the senior positions. The key issue highlighted in the case relates to building competency and linking rewards with merit. The case also highlights the kind of resistance by the stakeholders while enforcing the changes in the organization.

Complexity academic level
MBA and other similar programmes at the post-graduation level.

Supplementary materials
Teaching Notes are available for educators only.

Subject code
CSS 6: Human resource management.
Credit access, tax structure and the performance of Malaysian manufacturing SMEs
Authors: Cheong Calvin W.H. , Lee Miin Huui , Weissmann Marc Arul 
Published: March 2020

PurposeThis study investigates the effects of credit access and tax structures on the performance of Manufacturing SMEs in Malaysia.Design/methodology/approachThis study uses the dynamic panel system generalized method of moments, controlling for firm-specific as well as macroeconomic effectsFindingsThe paper finds that (1) debt funding is not conducive to SME performance; (2) access to non-bank credit sources and tax incentives support SME performance by lowering opportunity costs of riskier projects; (3) existing tax structures in Malaysia inhibit SME growth and encourage manipulation of accounts; and (4) investors in Malaysia prefer SMEs that are more conservative in their accounting and taxation practices.Research limitations/implicationsAccess to Malaysian SME data is restricted. Although robust methods are used, there is a chance that different conclusions may arise with a much larger sample.Practical implicationsThe findings provide clear direction in the discussion and enactment of new policies that support SME growth especially in support of non-bank credit sources instead of revising tax policies. The paper also contributes by providing guidance to future SME studies that are inhibited by limited access to data.Originality/valueSME-related studies on credit access and tax structures have often relied on traditional metrics (e.g. total amount of bank loans; tax expenses) to measure its impact on entrepreneurial/SME performance. Although relevant to the past, financial policies have evolved to embrace Industrial Revolution 4.0. This paper is a shift from the traditional by investigating the impact of new and innovative sources of funding such as incubators and crowdfunding. Also, since one cannot exist without the other, examining the joint impact of credit access and tax structures provides a more holistic view on policy-making, something prior studies have not addressed.
Motor carrier spot market: trust-building in public e-marketplaces
Authors: Collignon Stephane , Cook Deborah F. , Li Yuhong 
Published: March 2020

PurposeThis research aims at understanding the routes public e-marketplaces take, in the motor carrier spot market, to generate trust among participants.Design/methodology/approachThis work borrows cue signaling theory and an e-marketplace content analysis instrument from information systems literature. Our primary data captures differences in usage of a broad spectrum of cues between motor carrier spot e-marketplaces and a control sample.FindingsTransportation e-marketplaces use graphical cues more frequently than the control sample, display these cues on their “operational path” (where users click to conduct transactions) and try to generate beliefs in participants' integrity and competence.Research limitations/implicationsThe motor carrier online spot market constitutes a relevant test bed for trust-related theories. Several levels of trust-building conceptualizations are tested; the cue level shows the most potential. This paper extends cue signaling theory in the transportation e-marketplace context and calls for further work on operational path cues to enrich swift trust theories.Practical implicationsThis study helps e-marketplace designers by identifying essential and facultative cues for the motor carrier spot market.Originality/valueResearch on public spot e-marketplaces in the motor carrier context is scant. The context is described in detail to show its specificities in structures and behaviors. This helps to contribute to both practice and research. By evolving an existing research instrument from information systems literature, this study ensures replicability (problematic in academic research) .
Fandom, forgiveness and future support: YouTube apologies as crisis communication
Authors: Kelso Sandlin Jean , Gracyalny Monica L. 
Published: March 2020

PurposeThis study examined how audience characteristics and attitudes relate to their perceptions of sincerity and forgiveness of apologies by public figures posted on YouTube.Design/methodology/approachFour hundred twenty-seven adult participants recruited through Amazon's Mechanical Turk completed an online survey via Qualtrics. Participants were randomly assigned to view two of four public figure apologies posted on YouTube.FindingsResults indicated that audience fandom and perceived reputation and attractiveness of the public figure were related to perceptions of sincerity and forgiveness; and perceptions of sincerity and forgiveness were related to intentions of future support.Research limitations/implications“Sameness” between the public figure and audience did not garner a more favorable response to the apology, and this is not consistent with earlier studies. For race similarity, the results could have been a reflection of the low number of non-White participants. However, results could indicate that “sameness” is not as simplistic as demographic sameness, such as race, sex or age.Practical implicationsThe authors’ findings elevate the importance of gathering and benchmarking pre-crisis attitudinal research to better equip and inform communication professionals for crisis response. In addition, the study suggests that a public figure's strong reputation and fanbase provide a type of inoculation, lessening reputational damage.Social implicationsThe finding that perceived attractiveness relates positively to perceptions of sincerity and forgiveness is consistent with psychological research indicating attractiveness has many positive social implications – even in mediated communication.Originality/valueEvidence suggests social media apologies matter. Communication professionals need to approach apology opportunities with a keen awareness that relational outcomes and intentions of future support can shift based on social media audiences' attitudes related to the public figure.
Benefits of scenario reconstruction in cold case investigations
Authors: Epskamp-Dudink Chantal , Winter Jan Martin 
Published: March 2020

Purpose
The purpose of this paper is to propose a methodological approach to increase the clearance rate of cold cases in The Netherlands and to contribute to the development of intelligence-driven criminal investigations in general police practice and within cold case investigations in particular.

Design/methodology/approach
This proposal is based on practical investigative experience and academic knowledge.

Findings
Reconstructing scenarios helps convert cold case information into intelligence, which is beneficial to law enforcement agencies in terms of time, resources and prioritising cold cases. Intelligence contributes to the formulation of more effective queries and to a more efficient adaptation of new and existing investigation methods, leading to a higher cold case clearance rate. Moreover, scenario reconstruction creates a link between intelligence and investigation, i.e. between science and practice, which adds to the further development of intelligence-driven investigations.

Practical implications
When carrying out scenario reconstructions, practical implications are expected, as intelligence products are currently not or barely used in practice and science is not yet embedded in the investigational practice.

Originality/value
To move from scenario reconstruction to intelligence-driven criminal investigation, the gap between science and the investigational practice needs to be bridged by persons familiar with both. This study hopes to provide the necessary and relevant impetus to this dialogue.