bluuebunny/crossref_metadata_2025_split huggingface dataset:
Withdrawn as duplicate: Transcription factor WOX11 regulates protein translation via ribosome protein acetylation in rice roots
Authors: Xu Qiutao , Wang Yijie , Yue Yaping , Chen Zhengting , Zhou Dao-Xiu , Zhao Yu 
Published: February 2023

Abstract
This article has been withdrawn due to a production error that caused the article to be duplicated. The definitive version of this article is published under DOI https://doi.org/10.1093/plphys/kiad025.
Clinical decision support automates care gap detection among primary care patients with nonalcoholic fatty liver disease
Authors: Spann Ashley , Bishop Kristy M. , Weitkamp Asli O. , Stenner Shane P. , Nelson Scott D. , Izzy Manhal 
Published: February 2023

Background:
Although guidelines recommend primary care–driven management of NAFLD, workflow constraints hinder feasibility. Leveraging electronic health records to risk stratify patients proposes a scalable, workflow-integrated strategy.

Materials and Methods:
We prospectively evaluated an electronic health record-embedded clinical decision support system’s ability to risk stratify patients with NAFLD and detect gaps in care. Patients missing annual laboratory testing to calculate Fibrosis-4 Score (FIB-4) or those missing necessary linkage to further care were considered to have a gap in care. Linkage to care was defined as either referral for elastography-based testing or for consultation in hepatology clinic depending on clinical and biochemical characteristics.

Results:
Patients with NAFLD often lacked annual screening labs within primary care settings (1129/2154; 52%). Linkage to care was low in all categories, with <3% of patients with abnormal FIB-4 undergoing further evaluation.

Discussion:
Significant care gaps exist within primary care for screening and risk stratification of patients with NAFLD and can be efficiently addressed using electronic health record functionality.
Social determinants of health impact mortality from HCC and cholangiocarcinoma: a population-based cohort study
Authors: Nephew Lauren D. , Gupta Dipika , Carter Allie , Desai Archita P. , Ghabril Marwan , Patidar Kavish R. , Orman Eric , Dziarski Alisha , Chalasani Naga 
Published: February 2023

Background and Aims:
The social determinants of health can pose barriers to accessing cancer screening and treatment and have been associated with cancer mortality. However, it is not clear whether area deprivation is independently associated with mortality in HCC and cholangiocarcinoma when controlling for individual-level social determinants of health.

Approach and Results:
The cohort included individuals over 18 years old diagnosed with HCC (N=3460) or cholangiocarcinoma (N=781) and reported to the Indiana State Cancer Registry from 2009 to 2017. Area disadvantage was measured using the social deprivation index (SDI). SDI was obtained by linking addresses to the American Community Survey. Individual social determinants of health included race, ethnicity, sex, marital status, and insurance type. The primary outcome was mortality while controlling for SDI and individual social determinants of health by means of Cox proportional hazard modeling. In HCC, living in a neighborhood in the fourth quartile of census-track SDI (most deprived) was associated with higher mortality (HR: 1.14, 95% CI, 1.003–1.30, p=0.04) than living in a first quartile SDI neighborhood. Being uninsured (HR: 1.64, 95% CI, 1.30–2.07, p<0.0001) and never being married (HR: 1.31, 95% CI, 1.15–1.48, p<0.0001) were also associated with mortality in HCC. In cholangiocarcinoma, SDI was not associated with mortality.

Conclusions:
Social deprivation was independently associated with mortality in HCC but not cholangiocarcinoma. Further research is needed to better understand how to intervene on both area and individual social determinants of health and develop interventions to address these disparities.
Women with cirrhosis have lower self-rated health than men
Authors: Wang Melinda , Huang Chiung-Yu , Cullaro Giuseppe , Covinsky Kenneth , Lai Jennifer C. 
Published: February 2023

Background:
Women systematically experience lower rates of liver transplantation (LT) and higher rates of waitlist mortality than men. Self-rated health has been associated with patient outcomes in the global population. We, therefore, assessed gender differences in self-rated and clinician-rated health among LT candidates.

Methods:
Ambulatory LT candidates without hepatocellular carcinoma were enrolled from 2012 to 2018. Participants and their hepatologists were asked separately to rate the participant’s overall general health on a 6-point scale (0=”excellent” to 5=“very poor”). Logistic regression was used to assess the associations between covariates and superior self-assessment, defined as 1 SD above the mean self-assessment score.

Results:
Of 855 participants, the median (interquartile range) self-rated health score was 2 (1–3); 156 (18%) were categorized as superior self-rated health. The correlation between self-rated and clinician-rated health was positive (Spearman’s rho 0.3, P<0.001). In univariate analysis, being a woman was associated with lower odds of superior self-rated health (OR 0.7, 95% CI 0.5–1.0, P=0.04), which persisted on multivariable analysis (aOR 0.7, 95% CI 0.4–1.0, P=0.05), controlling for race, frailty, work status, comorbidities, Model for End-Stage Liver Disease-Na, hepatic encephalopathy, and ascites.

Conclusion:
These findings highlight the need for well-designed quality-based research to determine how our patients perceive health to highlight opportunities to offer more comprehensive, quality-based care.
Rise of Acellular Dermal Matrix: Cost Consciousness, Industry Payment, and Publication Productivity
Authors: Hirpara Milan M , Clark Robert Craig , Hogan Elise , Dean Riley , Reid Chris M 
Published: February 2023

Background:
Despite lack of FDA approval for breast surgery and high cost, acellular dermal matrix (ADM) has become commonplace in reconstructive surgery and has been the focus of more than 500 plastic surgery publications since its wide adaptation. We hypothesized that ADM-related academic output would correlate with public interest and industry funding.

Study Design:
All PubMed indexed studies focusing on ADM, in eleven plastic surgery journals, were included (n=535). Data on industry funding to the 17 most productive authors were extracted from the Open Payments Database. Google Trends in “breast surgery cost” and related terms were queried. Relationships between publication quantity, author industry funding, and public interest were analyzed by Pearson’s Correlation and linear regression.

Results:
The most-published authors produced eight qualifying publications on average [5-17], with 80% focused on breast surgery. These individuals grossed a total of $19million industry dollars overall with $17million (89%) in non-consulting compensation from ADM-producing companies (NC-ADM). Median/quartile individual total compensation and NC-ADM compensation were $194K/$320K/$1.25M and $17K/$210K/$1.1M, respectively. These variables showed strong correlation with individual publication rate with a linear regression coefficient of $110K in NC-ADM per publication (p<0.01). Authors disclosed funding in a mean of 65+/-26% of their work with strong correlation between disclosure and NC-ADM (p<0.01). Google “Breast surgery cost” search volume has grown rapidly in significant correlation with ADM publications (p=0.02).

Conclusions:
This study demonstrates significant correlations between ADM-related publication, industry funding, funding disclosure, and public interest. Education in the potential for such relationships and the importance of objectivity in plastic surgery warrants discussion.
Reinforcement-Based Processes Actively Regulate Motor Exploration Along Redundant Solution Manifolds
Authors: Roth Adam M. , Calalo Jan A. , Lokesh Rakshith , Sullivan Seth R. , Grill Stephen , Jeka John J. , van der Kooij Katinka , Carter Michael J. , Cashaback Joshua G. A. 
Published: February 2023

ABSTRACTFrom a baby’s babbling to a songbird practicing a new tune, exploration is critical to motor learning. A hallmark of exploration is the emergence of random walk behaviour along solution manifolds, where successive motor actions are not independent but rather become serially dependent. Such exploratory random walk behaviour is ubiquitous across species, neural firing, gait patterns, and reaching behaviour. Past work has suggested that exploratory random walk behaviour arises from an accumulation of movement variability and a lack of error-based corrections. Here we test a fundamentally different idea—that reinforcement-based processes regulate random walk behaviour to promote continual motor exploration to maximize success. Across three human reaching experiments we manipulated the size of both the visually displayed target and an unseen reward zone, as well as the probability of reinforcement feedback. Our empirical and modelling results parsimoniously support the notion that exploratory random walk behaviour emerges by utilizing knowledge of movement variability to update intended reach aim towards recently reinforced motor actions. This mechanism leads to active and continuous exploration of the solution manifold, currently thought by prominent theories to arise passively. The ability to continually explore muscle, joint, and task redundant solution manifolds is beneficial while acting in uncertain environments, during motor development, or when recovering from a neurological disorder to discover and learn new motor actions.
TRAF3 Suppression Encourages B Cell Recruitment and Prolongs Survival of Microbiome-Intact Mice with Ovarian Cancer
Authors: Zorea Jonathan , Motro Yair , Mazor Roei D. , Carmi Yifat Koren , Shulman Ziv , Mahajna Jamal , Moran-Gilad Jacob , Elkabets Moshe 
Published: February 2023

AbstractBackgroundOvarian cancer (OC) has proven to be the most deadly of all gynecologic cancers. Clinical trials involving the use of immunotherapies in OC patients have produced disappointing outcomes, underscoring the necessity of identifying new immunomodulatory targets for the treatment of this cancer.MethodsWe conducted anin-vivoCRISPR screen of immunodeficient (NSG) and immune-intact wild type (WT) C57/BL6 mice to identify tumor-derived immune-escape mechanisms in a BRAC1- and TP53-deficient murine ID8 OC cell line (designated ITB1). To confirm gene expression and signaling pathway activation in ITB1 cells, we employed western blot, qPCR, immunofluorescent staining, and flow cytometry. Flow cytometry was also used to identify immune cell populations in the peritoneum of ITB1-bearing mice. To determine the presence of IgA-coated bacteria in the peritoneum of ITB1 -bearing mice and the ascites of OC patients, we employed 16S sequencing. Testing for differences was done by using Deseq2 test and two-way ANOVA test. Sequence variants (ASVs) were produced in Qiime2 and analyzed by microeco and phyloseq R packages.ResultsWe identified tumor necrosis factor receptor-associated factor 3 (TRAF3) as a tumor-derived immune suppressive mediator in ITB1 cells. Knockout of TRAF3 (TRAF3KO) activated the type-I interferon pathway and increased MHC-I expression. TRAF3KO tumors exhibited a growth delay in WT mice vs. NSG mice, which was correlated with increased B cell infiltration and activation compared to ITB1 tumors. B cells were found to be involved in the progression of TRAF3KO tumors, and B-cell surface-bound and secreted IgA levels were significantly higher in the ascites of TRAF3KO tumors compared to ITB1. The presence of commensal microbiota was necessary for B-cell activation and for delaying the progression of TRAF3KO tumors in WT mice. Lastly, we observed unique profiles of IgA-coated bacteria in the ascites of OC-bearing mice or the ascites of OC patients.ConclusionsTRAF3 is a tumor-derived immune-suppressive modulator that influences B-cell infiltration and activation, making it a potential target for enhancing anti-tumor B-cell responses in OC.
Female directors and corporate cash holdings in the presence of internal dealings
Authors: Bona-Sánchez Carolina , Elistratova Marina , Pérez-Alemán Jerónimo 
Published: February 2023

Purpose
Internal dealings might shape female directors’ incentives to affect corporate financial policies. This study aims to explore what impact female directors have on corporate cash holdings in the presence of internal dealings.

Design/methodology/approach
The authors apply panel data regressions that allow them to address endogeneity concerns. The initial sample includes all non-financial Spanish listed firms from 2005 to 2019.

Findings
Conditional on the existence of internal dealings, the authors show that the presence of two or more female directors decreases corporate cash holdings. Results seem consistent, with independent female directors becoming an effective monitoring mechanism for corporate financial policies in the presence of internal dealings. Furthermore, the findings could be explained by independent female directors providing valuable resources and external linkages, which, in the presence of internal dealings, help to reduce the firm’s need to hold cash to cope with external uncertainties.

Practical implications
The results provide practical implications by suggesting that in the presence of internal dealings, regulators and policy makers should pay greater attention to board gender diversity so as to reduce agency problems associated with free cash flows. The authors also contribute to prior academic debate regarding the importance of female directors in providing critical resources and external linkages to cope with uncertainty and to the importance of considering not only the presence of women on boards but also their number and specific roles.

Originality/value
The authors' work meets the increasing demand for more research on gender diversity to better capture the potential benefits that may result from appointing women on boards. To the best of the authors' knowledge, this is the first study to examine the influence of female directors on corporate cash holdings in the presence of internal dealings.
Policy components – a conceptual model for modularizing and tailoring of information security policies
Authors: Rostami Elham , Karlsson Fredrik , Gao Shang 
Published: February 2023

Purpose
This paper aims to propose a conceptual model of policy components for software that supports modularizing and tailoring of information security policies (ISPs).

Design/methodology/approach
This study used a design science research approach, drawing on design knowledge from the field of situational method engineering. The conceptual model was developed as a unified modeling language class diagram using existing ISPs from public agencies in Sweden.

Findings
This study’s demonstration as proof of concept indicates that the conceptual model can be used to create free-standing modules that provide guidance about information security in relation to a specific work task and that these modules can be used across multiple tailored ISPs. Thus, the model can be considered as a step toward developing software to tailor ISPs.

Research limitations/implications
The proposed conceptual model bears several short- and long-term implications for research. In the short term, the model can act as a foundation for developing software to design tailored ISPs. In the long term, having software that enables tailorable ISPs will allow researchers to do new types of studies, such as evaluating the software's effectiveness in the ISP development process.

Practical implications
Practitioners can use the model to develop software that assist information security managers in designing tailored ISPs. Such a tool can offer the opportunity for information security managers to design more purposeful ISPs.

Originality/value
The proposed model offers a detailed and well-elaborated starting point for developing software that supports modularizing and tailoring of ISPs.
Food delivery app continuance: a dual model and segmentation approach
Authors: Nguyen Trieu , Huang Echo , Nguyen Dung Minh 
Published: February 2023

PurposeThe outbreak of the COVID-19 pandemic has led to the pervasiveness of food delivery apps (FDAs) and the increased scholars’ attention for the topic of FDA continuance usage intention. However, the limited understanding about possible segments of FDA users has hindered food retailers from providing FDAs with a personalized manner, which impairs the effectiveness of marketing strategies. Thus, this study aims to first explore key antecedents of users’ continuance intention toward FDAs and then segment and profile Taiwanese users based on the identified antecedents of FDA continuance intention and demographics.Design/methodology/approachAn online survey was implemented to collect responses from FDA users in Taiwan. With a response rate of 82.4%, the final sample of 326 respondents (average age = 28.3; female = 54.9%) was analyzed by using two techniques of structural equation modeling (SEM) and cluster analysis.FindingsThe results indicate six antecedents of users’ continuance usage intention towards FDAs, including information quality, system quality, information quality, perceived usefulness, perceived enjoyment and satisfaction. Additionally, three distinct clusters of FDA users are successfully identified, labeled as “value sensitive users”, “time-sensitive users” and “security sensitive users”.Originality/valueThis study is one of the pioneers that explores the possible segments in FDA market, which helps FDA providers and food retailers develop more focused and appropriate strategies to encourage users to continue using FDAs. Our findings contribute to building an optimized version of “FDA Tech” that becomes an omni-channel solution to serve the increased home-delivery needs in the new normal era.
Skin biopsies for diagnosing neuronal intranuclear inclusion disease: A retrospective study of 12 cases
Authors: Itamoto Sota , Yanagi Teruki , Yabe Ichiro , Matsuno Yoshihiro , Ujiie Hideyuki 
Published: February 2023

AbstractNeuronal intranuclear inclusion disease (NIID) is a progressive neurodegenerative condition. Skin biopsies taken from the lower leg were reported to be a standard diagnostic procedure for NIID; however, no studies have addressed the optimal skin biopsy locations. We retrospectively analyzed 12 cases in which skin biopsies were performed for diagnosing NIID. We collected clinical information including age, sex, skin biopsy site, the presence of nuclear inclusion bodies, the results of p62 immunostaining, the final diagnosis from the department of neurology, and the presence of abnormal GGC repeats in the NOTCH2NLC gene. Four of the 12 cases had a final diagnosis of NIID. One of the four cases was biopsied from the lower leg, whereas the other three cases were biopsied from the abdomen or thigh. Biopsy specimens of the four definite NIID cases revealed the average rates of nuclear inclusion body‐positive cells in adipocytes, sweat gland cells, and fibroblasts to be 13.2%, 10.3%, and 6.3%, respectively. GGC repeat abnormalities in the NOTCH2NLC gene were observed in two of the four cases. The present study indicates that sites with ample subcutaneous fat tissue could be promising for diagnostic skin biopsies for NIID.
Automating seismic‐well tie via self‐supervised learning
Authors: Di Haibin , Abubakar Aria 
Published: February 2023

AbstractAs an essential process in subsurface interpretation, seismic‐well tie aims at calibrating the well measurements in depth domain with the seismic records in time domain for reliable reservoir mapping and modelling. Such a process usually requires massive manual efforts, primarily extracting source wavelets to synthesize seismograms from well measurements and stretching/squeezing synthetic seismograms to match actual seismic signals, and thus becomes time‐consuming and labour intensive with the amount of wells expanding in a field. This paper formulates the seismic‐well tie problem from the perspective of computer vision and, considering the lack of manually prepared training labels in most of real projects, proposes automating it by a self‐supervised workflow of two key components. The first component is to extract time‐variant wavelets in the target interval using a dual‐task autoencoder, which is optimized by maximizing the spectrum similarity between the extracted wavelet and the actual seismic. The second component is to estimate the corresponding time‐shift between a pair of the synthetic seismogram and the actual seismic using a flow net, which is trained by a pseudo dataset derived from the actual well measurements. More specifically, the data generation consists with defining one‐dimensional time‐shift curves to warp the original less accurate time‐depth relationships and then synthesizing the corresponding seismograms based on the convolutional model at all available wells. When turning to the stage of inference at a target well, the proposed workflow automatically extracts a representative wavelet, generates the corresponding synthetic seismogram from the original time‐depth relationship and estimates the time‐shift curve necessary for revising the original time‐depth relationship that would lead to an optimal tying with the actual seismic at the well. The proposed workflow is tested on two field datasets, and both results demonstrate improved tying over traditional methods such as statistical wavelet extraction and dynamic time warping.
The geography of Medicare's hospital value‐based purchasing in relation to market demographics
Authors: McLaughlin Colleen C. , Boscoe Francis P. 
Published: February 2023

AbstractObjectiveTo illustrate the association between the sociodemographic characteristics of hospital markets and the geographic patterns of Medicare hospital value‐based purchasing (HVBP) scores.Data Sources and Study SettingThis is a secondary analysis of United States hospitals with a HVBP Total Performance Score (TPS) for 2019 in the Centers for Medicare and Medicaid Services (CMS) Hospital Compare database (4/2021 release) and American Community Survey (ACS) data for 2015–2019.Study DesignThis is a cross‐sectional study using spatial multivariable autoregressive models with HVBP TPS and component domain scores as dependent variables and hospital market demographics as the independent variables.Data Collection/Extraction MethodsWe calculated hospital market demographics using ZIP code level data from the ACS, weighted the 2019 CMS inpatient Hospital Service Area file.Principal FindingsSpatial autoregressive models using eight nearest neighbors with diversity index, race and ethnicity distribution, families in poverty, unemployment, and lack of health insurance among residents ages 19–64 years provided the best model fit. Diversity index had the highest statistically significant contribution to lower TPS (ß = −12.79, p < 0.0001), followed by the percent of the population coded to “non‐Hispanic, some other race” (ß = −2.59, p < 0.0023), and the percent of families in poverty (ß = −0.26, p < 0.0001). Percent of the population was non‐Hispanic American Indian/Alaskan Native (ß = 0.35, p < 0.0001) and percent non‐Hispanic Asian (ß = 0.12, p < 0.02071) were associated with higher TPS. Lower predicted TPS was observed in large urban cities throughout the US as well as in states throughout the Southeastern US. Similar geographic patterns were observed for the predicted Patient Safety, Person and Community Engagement, and Efficiency and Cost Reduction domain scores but are not for predicted Clinical Outcomes scores.ConclusionsThe lower predicted scores seen in cities and in the Southeastern region potentially reflect an inherent—that is, structural—association between market sociodemographics and HVBP scores.