bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic regulation of inter-organelle communication by ubiquitylation controls skeletal muscle development and disease onset
Authors: Mansur Arian , Joseph Remi , Jean-Beltran Pierre Michael , Udeshi Namrata D. , Pearce Cadence , Jiang Hanjie , Iwase Reina , McNamara Elyshia , Widrick Jeff , Perez Claudio , Ravenscroft Gianina , Cole Philip A , Carr Steven A , Gupta Vandana A 
Published: July 2022

AbstractUbiquitin-proteasome system (UPS) dysfunction is associated with the pathology of a wide range of human diseases including myopathies and muscular atrophy. However, the mechanistic understanding of specific components on the regulation of protein turnover during development and disease progression in skeletal muscle is unclear. Mutations in KLHL40, an E3 ubiquitin ligase cullin3 (CUL3) substrate-specific adapter protein result in a severe form of congenital nemaline myopathy, but the events that initiate the pathology and the mechanism through which it becomes pervasive, remains poorly understood. To characterize the KLHL40-regulated ubiquitin modified proteome during skeletal muscle development and disease onset, we used global, quantitative mass spectrometry-based ubiquitylome and global proteome analyses of klhl40 mutant zebrafish during disease progression. Global proteomics during skeletal muscle development revealed extensive remodeling of functional modules linked with sarcomere formation, energy and biosynthetic metabolic processes and vesicle trafficking. Combined analysis of klh40 mutant muscle proteome and ubiquitylome identified thin filament proteins, metabolic enzymes and ER-Golgi vesicle trafficking pathway proteins regulated by ubiquitylation during muscle development. Our studies identified a role for KLHL40 as a negative regulator of ER-Golgi anterograde trafficking through ubiquitin-mediated protein degradation of secretion associated Ras related GTPase1a (Sar1a). In KLHL40 deficient muscle, defects in ER exit site vesicle formation alter Golgi compartment and downstream transport of extracellular cargo proteins, resulting in structural and functional abnormalities. Our work reveals that the muscle proteome is dynamically fine-tuned by ubiquitylation to regulate skeletal muscle development and uncovers new disease mechanisms for therapeutic development in patients.Graphical Abstract
Global change drivers and the risk of infectious disease
Authors: Mahon Michael B. , Sack Alexandra , Aleuy O. Alejandro , Barbera Carly , Brown Ethan , Buelow Heather , Civitello David J. , Cohen Jeremy M. , de Wit Luz , Forstchen Meghan , Halliday Fletcher W. , Heffernan Patrick , Knutie Sarah A. , Korotasz Alexis , Larson Joanna G. , Rumschlag Samantha L. , Selland Emily , Shepack Alexander , Vincent Nitin , Rohr Jason R. 
Published: July 2022

AbstractAnthropogenic change is contributing to the rise in emerging infectious diseases, but it remains unclear which global change drivers most increase disease and under what contexts. We amassed a dataset from the literature that includes 1,832 observations of infectious disease responses to global change drivers across 1,202 host-parasite combinations. We found that biodiversity loss, climate change, and introduced species were associated with increases in disease-related endpoints or harm (i.e., enemy release for introduced species), whereas urbanization was associated with decreases in disease endpoints. Natural biodiversity gradients, deforestation, forest fragmentation, and most classes of chemical contaminants had non-significant effects on these endpoints. Overall, these results were consistent across human and non-human diseases. Context-dependent effects of the global change drivers on disease were common and are discussed. These findings will help better target disease management and surveillance efforts towards global change drivers that increase disease.One-Sentence SummaryHere we quantify which global change drivers increase infectious diseases the most to better target global disease management and surveillance efforts.
A versatile, high-efficiency platform for CRISPR-based gene activation
Authors: Heidersbach Amy J. , Dorighi Kristel M. , Gomez Javier A. , Jacobi Ashley M. , Haley Benjamin 
Published: July 2022

AbstractCRISPR-mediated transcriptional activation (CRISPRa) is a powerful technology for inducing gene expression from endogenous loci with exciting applications in high throughput gain-of-function genomic screens and the engineering of cell-based models. However, current strategies for generating potent, stable, CRISPRa-competent cell-lines present limitations for the broad utility of this approach. Here, we provide a high-efficiency, self-selecting CRISPRa enrichment strategy, which combined with piggyBac transposon technology enables rapid production of CRISPRa-ready cell populations compatible with a variety of downstream assays. We complement this with a new, optimized guide RNA scaffold that significantly enhances CRISPRa functionality. Finally, we describe a novel, synthetic guide RNA tool set that enables transient, population-wide gene activation when used with the self-selecting CRISPRa system. Taken together, this versatile platform greatly enhances the potential for CRISPRa across a wide variety of cellular contexts.
Evaluating the Adoption of Voice Recognition Technology for Real-Time Dictation in a Rural Healthcare System: A Retrospective Analysis of Dragon Medical One
Authors: Onitilo Adedayo A. , Shour Abdul R. , Puthoff David S. , Tanimu Yusuf , Joseph Adedayo , Sheehan Michael T 
Published: July 2022

AbstractBackgroundIn 2013, Marshfield Clinic Health System (MCHS) implemented the Dragon Medical One (DMO) system provided by Nuance Management Center (NMC) for Real-Time Dictation (RTD), embracing the idea of streamlined clinic workflow, reduced dictation hours, and improved documentation legibility. Since then, MCHS has observed a trend of reduced time in documentation, however, the target goal of 100% adoption of voice recognition (VR)-based RTD has not been met.ObjectiveTo evaluate the uptake/adoption of VR technology for RTD in MCHS, between 2018-2020.MethodsDMO data for 1,373 MCHS providers from 2018-2020 were analyzed. The study outcome was VR uptake, defined as the number of hours each provider used VR technology to dictate patient information, used as continuous, and classified as no/yes. Covariates included sex, age, US-trained/international medical graduates, trend, specialty, and facility. Descriptive statistics and unadjusted and adjusted logistic regression analyses were performed. Stata/SE.version.17 was used for analyses. P-values less than/equal to 0.05 were considered statistically significant.ResultsOf the 1,373 MCHS providers, the mean (SD) age was 48.3 (12.4) years. VR uptake was higher than no uptake (72.0% vs. 28.0%). In both unadjusted and adjusted analyses, VR uptake was 4.3 times and 7.7 times higher in 2019-2020 compared to 2018, respectively (OR:4.30,95%CI:2.44-7.46 and AOR:7.74,95%CI:2.51-23.86). VR uptake was 0.5 and 0.6 times lower among US-trained physicians compared to internationally-trained physicians (OR:0.53,95%CI:0.37-0.76 and AOR:0.58,95%CI:0.35-0.97). Uptake was 0.2 times lower among physicians aged 60/above than physicians aged 29/less (OR:0.20,95%CI:0.10-0.59, and AOR:0.17,95%CI:0.27-1.06).ConclusionSince 2018, VR adoption has increased significantly across MCHS. However, it was lower among US-trained physicians than among internationally-trained physicians (although internationally physicians were in minority) and lower among more senior physicians than among younger physicians. These findings provide critical information about VR trends, physician factors, and which providers could benefit from additional training to increase VR adoption in healthcare systems.
A single measurement of fecal hemoglobin concentration outperforms polygenic risk score in colorectal cancer risk assessment
Authors: Niedermaier Tobias , Alwers Elizabeth , Chen Xuechen , Heisser Thomas , Hoffmeister Michael , Brenner Hermann 
Published: July 2022

AbstractPURPOSEPolygenic risk scores (PRS) have been proposed and are increasingly used for risk assessment in colorectal cancer (CRC) screening. Fecal immunochemical tests (FITs) are widely recommended and used as dichotomous tests for annual or biennial CRC screening, ignoring the quantitative information on fecal hemoglobin concentration above or below the positivity threshold.MATERIALS AND METHODSWe aimed to assess and compare the ability of a single quantitative FIT and PRS to predict presence of advanced colorectal neoplasms (preclinical CRC or advanced adenoma) as a key indicator of CRC risk. A quantitative FIT (FOB Gold, Sentinel Diagnostics) was employed and a weighted PRS based on 140 common risk variants was determined among participants of screening colonoscopy in Germany. We compared areas under the curves (AUCs) of FIT and PRS for predicting presence of advanced colorectal neoplasm in the entire study population, and in subgroups defined by age, sex, family history of CRC, and history of colonoscopy.RESULTSA total of 3,025 participants aged 50-79 years were included, thereof 523 with advanced colorectal neoplasm and 2,502 participants without neoplasm. FIT clearly outperformed PRS in predicting presence of any advanced neoplasm in the entire study population (AUC 0.721, 95%CI 0.693-0.749 versus 0.591, 95%CI 0.564-0.617, p<0.0001), in younger (50-59 years) and older (60-79 years) participants, both sexes, those with and without a family history of CRC, and those with and without a previous colonoscopy (differences in AUC between 0.110 and 0.186, p=0.03 for those with previous colonoscopy and ≤0.005 for all other subgroups).CONCLUSIONA single quantitative FIT, a low cost, easy-to-administer and universally available test, is more informative for CRC risk assessment than so far established PRS, irrespective of age, sex, family history, or history of colonoscopy.
Estimating the time-varying reproduction number for COVID-19 in South Africa during the first four waves using multiple measures of incidence for public and private sectors across four waves
Authors: Bingham Jeremy , Tempia Stefano , Moultrie Harry , Viboud Cecile , Jassat Waasila , Cohen Cheryl , Pulliam Juliet R.C. 
Published: July 2022

AbstractObjectivesWe aimed to quantify transmission trends in South Africa during the first four waves of the COVID-19 pandemic using estimates of the time-varying reproduction number (R) and to compare the robustness of R estimates based on three different data sources and using data from public and private sector service providers.MethodsWe estimated R from March 2020 through April 2022, nationally and by province, based on time series of rt-PCR-confirmed cases, hospitalizations, and hospital-associated deaths, using a method which models daily incidence as a weighted sum of past incidence. We also estimated R separately using public and private sector data.ResultsNationally, the maximum case-based R following the introduction of lockdown measures was 1.55 (CI: 1.43-1.66), 1.56 (CI: 1.47-1.64), 1.46 (CI: 1.38-1.53) and 3.33 (CI: 2.84-3.97) during the first (Wuhan-Hu), second (Beta), third (Delta), and fourth (Omicron) waves respectively. Estimates based on the three data sources (cases, hospitalisations, deaths) were generally similar during the first three waves but case-based estimates were higher during the fourth wave. Public and private sector R estimates were generally similar except during the initial lockdowns and in case-based estimates during the fourth wave.DiscussionAgreement between R estimates using different data sources during the first three waves suggests that data from any of these sources could be used in the early stages of a future pandemic. High R estimates for Omicron relative to earlier waves is interesting given a high level of exposure pre-Omicron. The agreement between public and private sector R estimates highlights the fact that clients of the public and private sectors did not experience two separate epidemics, except perhaps to a limited extent during the strictest lockdowns in the first wave.
miR-221/222 drive synovial fibroblast expansion and pathogenesis of TNF-mediated arthritis
Authors: Roumelioti Fani , Tzaferis Christos , Konstantopoulos Dimitris , Papadopoulou Dimitra , Prados Alejandro , Sakkou Maria , Liakos Anastasios , Chouvardas Panagiotis , Meletakos Theodore , Pandis Yiannis , Karagianni Niki , Denis Maria , Fousteri Maria , Armaka Marietta , Kollias George 
Published: July 2022

AbstractMicroRNAs (miRNAs) constitute fine tuners of gene expression and are implicated in a variety of diseases spanning from inflammation to cancer. miRNA expression is deregulated in rheumatoid arthritis (RA), however, their specific role in key arthritogenic cells such as the synovial fibroblast (SF) remains elusive. We have shown in the past that the expression of the miR-221/222 cluster is upregulated in RA SFs. Here, we demonstrate that miR-221/222 activation is downstream of major inflammatory cytokines, such as TNF and IL-1β, which promote miR-221/222 expression independently. miR-221/222 expression in SFs from the huTNFtg mouse model of arthritis correlates with disease progression. Targeted transgenic overexpression of miR-221/222 in SFs of the huTNFtg mouse model led to further expansion of synovial fibroblasts and disease exacerbation. miR-221/222 overexpression altered the transcriptional profile of SFs igniting pathways involved in cell cycle progression and ECM regulation. Validated targets of miR-221/222 included p27 and p57 cell cycle inhibitors, as well as Smarca1 (a chromatin remodeling component). In contrast, complete genetic ablation of miR-221/222 in arthritic mice led to decreased proliferation of fibroblasts, reduced synovial expansion and attenuated disease. scATAC-seq data analysis revealed increased miR-221/222 gene activity in the pathogenic and activated clusters of the intermediate and lining compartment. Taken together, our results establish an SF-specific pathogenic role of the miR-221/222 cluster in arthritis and suggest that its therapeutic targeting in specific subpopulations should inform the design of novel fibroblast-targeted therapies for human disease.
Online media in dairy markets: a US dairy futures market study
Authors: Ortez Mario , Widmar Nicole Olynk , Mallory Mindy Lyn , Wolf Christopher Allen , Bir Courtney 
Published: July 2022

PurposeThis article quantifies public sentiment for dairy products using online media and investigates potential relationships between online media, both volume and sentiment, and future prices of Class III milk.Design/methodology/approachNetbase, an online media listening platform, was used to quantify US generated online media sentiment and number of mentions regarding dairy products. Granger-causality tests and Impulse Response Functions (IRFs) were used to study relationships between online media derived data and dairy futures prices.FindingsMilk and cheese have more mentions in online media than yogurt and ice cream. Online media net sentiment around milk was the lowest of the dairy products studied. Granger-causality tests showed that Class III milk price Granger-causes net sentiment of dairy as a whole and of fluid milk. Price additionally Granger-causes mentions of milk, ice cream and yogurt. Notably, milk and ice cream mentions Granger-cause the Class III milk price. IRF's reveals that increases in mentions have a positive, albeit small, effect on the Class III milk price that is statistically significant for ice cream, but not for milk. IRF's directionality of the relationship from price to online media derived data was mixed.Originality/valueThis is the first time that relationships between online media -volume and sentiment- and futures prices of an agricultural commodity are researched. Exploration of futures markets alongside online media advances the use of online media to glean insights in financial, along with food and agricultural markets.
Direct and indirect effects of servant and ethical leadership styles on employee creativity: mediating role of organizational citizenship behavior
Authors: Hanaysha Jalal Rajeh , Kumar V.V. Ajith , In'airat Mohammad , Paramaiah Ch. 
Published: July 2022

PurposeThis research mainly aims to test the impact of two leadership styles (ethical and servant leadership) on employee creativity; and to determine whether organizational citizenship behavior (OCB) mediates the relationships between them.Design/methodology/approachThe paper relied on a quantitative research approach with a sample of 213 staff from public universities in the United Arab Emirates. In this paper, the partial least square approach (PLS-SEM) was employed in order to verify the proposed hypotheses.FindingsThe outcomes confirmed that OCB has a positive impact on employee creativity. Additionally, the findings indicated that ethical leadership positively affected OCB and employee creativity. It was also confirmed that servant leadership has a significant positive impact on OCB and employee creativity. Finally, the findings revealed that OCB fully mediates the linkages among servant and ethical leadership and employee creativity.Originality/valueThis paper acknowledges the existing gaps in the prior literature, and enables us to understand clearly about the significance of ethical as well as servant leadership in affecting employee creativity via OCB as a mediator.
Co-worker support and community of practice: the role of concern for team member and preference for teamwork
Authors: Dutta Anjali , Rangnekar Santosh 
Published: July 2022

PurposeThe aim of this article is to empirically investigate the effect of co-worker support on communities of practice with a sequential mediating effect of concern for team members and preference for teamwork.Design/methodology/approachThe data of 216 were gathered from respondents employed as full-time personnel in public and private sector organizations in India using a survey questionnaire. Confirmatory factor analysis, structured equation modelling and regression analysis were applied to test the formulated hypothesis. Hayes PROCESS macro model was also used to estimate the indirect effects with bootstrap resamples.FindingsThe study's findings revealed the mediating effect of concern for team members and preference for teamwork on the relationship between co-worker support and communities of practice in a sequential manner. The total and direct consequence of co-worker support on communities of practice was also substantial.Originality/valueThis article offers an understanding of the process through which co-worker support is related to communities of practice. This study is the first of its type, basically in the Indian context to the best of the authors’ knowledge.
The impact of research and development (R&D) on economic growth: new evidence from kernel-based regularized least squares
Authors: Minviel Jean-Joseph , Ben Bouheni Faten 
Published: July 2022

PurposeResearch and development (R&D) is increasingly considered to be a key driver of economic growth. The relationship between these variables is commonly examined using linear models and thus relies only on single-point estimates. Against this background, this paper provides new evidence on the impact of R&D on economic growth using a machine learning approach that makes it possible to go beyond single-point estimation.Design/methodology/approachThe authors use the kernel regularized least squares (KRLS) approach, a machine learning method designed for tackling econometric models without imposing arbitrary functional forms on the relationship between the outcome variable and the covariates. The KRLS approach learns the functional form from the data and thus yields consistent estimates that are robust to functional form misspecification. It also provides pointwise marginal effects and captures non-linear relationships. The empirical analyses are conducted using a sample of 101 countries over the period 2000–2020.FindingsThe estimates indicate that R&D expenditure and high-tech exports positively and significantly influence economic growth in a non-linear manner. The authors also find a positive and statistically significant relationship between economic growth and greenhouse gas emissions. In both cases, the effects are higher for upper-middle-income and high-income countries. These results suggest that a substantial effort is needed to green economic growth. Internet access is found to be an important factor in supporting economic growth, especially in high-income and middle-income countries.Practical implicationsThis paper contributes to underlining the importance of investing in R&D to support growth and shows that the disparity between countries is driven by the determinants of economic growth (human capital in R&D, high-tech exports, Internet access, economic freedom, unemployment rate and greenhouse gas emissions). Moreover, since the authors find that R&D expenditure and greenhouse gas emissions are positively associated with economic growth, technological progress with green characteristics may be an important pathway for green economic growth.Originality/valueThis paper uses an innovative machine learning method to provide new evidence that innovation supports economic growth.
Qualifying water-based electrode dispersions for the inkjet printing process: a requirements analysis
Authors: Kolb Cara Greta , Lehmann Maja , Kriegler Johannes , Lindemann Jana-Lorena , Bachmann Andreas , Zaeh Michael Friedrich 
Published: July 2022

Purpose
This paper aims to present a requirements analysis for the processing of water-based electrode dispersions in inkjet printing.

Design/methodology/approach
A detailed examination of the components and the associated properties of the electrode dispersions has been carried out. The requirements of the printing process and the resulting performance characteristics of the electrode dispersions were analyzed in a top–down approach. The product and process side were compared, and the target specifications of the dispersion components were derived.

Findings
Target ranges have been identified for the main component properties, balancing the partly conflicting goals between the product and the process requirements.

Practical implications
The findings are expected to assist with the formulation of electrode dispersions as printing inks.

Originality/value
Little knowledge is available regarding the particular requirements arising from the systematic qualification of aqueous electrode dispersions for inkjet printing. This paper addresses these requirements, covering both product and process specifications.