bluuebunny/crossref_metadata_2025_split huggingface dataset:
The minimum-mortality estimated glomerular filtration rate percentile shifts upward in the aged population: a nationwide population-based study
Authors: Kim Yaerim , Lee Soojin , Lee Yeonhee , Park Sehoon , Park Sanghyun , Paek Jin Hyuk , Park Woo Yeong , Jin Kyubok , Han Seungyeup , Kim Yong Chul , Han Seung Seok , Lee Hajeong , Lee Jung Pyo , Joo Kwon Wook , Lim Chun Soo , Kim Yon Su , Han Kyungdo , Kim Dong Ki 
Published: October 2020

Abstract

Background
The estimated glomerular filtration rate (eGFR) is a biomarker not only for kidney function, but also for major clinical outcomes. We aimed to evaluate the patterns of mortality across the entire eGFR percentile spectrum using a population-based dataset.

Methods
We retrospectively reviewed the National Health Insurance Service (NHIS) database for people who received nationwide health check-ups from 2009 to 2012. Subjects who were ≥45 years old and had one or more serum creatinine values available were included in the study. The primary outcome was all-cause mortality as a function of eGFR percentile.

Results
The middle-aged group (45–64 years) showed a U-shaped pattern of association between eGFR percentile and all-cause mortality. The minimum-mortality eGFR percentile was shifted upward in the elderly group (≥65 years). Specifically, the minimum-mortality eGFR percentiles were the 28th percentile (83.8 mL/min/1.73 m2) for middle-aged males, the 63rd percentile (86.2 mL/min/1.73 m2) for elderly males, the 42nd percentile (102.8 mL/min/1.73 m2) for middle-aged females and the 75th percentile (90.1 mL/min/1.73 m2) for elderly females. Diabetes and hypertension shifted the minimum-mortality eGFR percentile upward in the middle-aged group. This pattern was attenuated in the elderly group.

Conclusions
The eGFR percentile showing minimum mortality moves upward in the aged population as well as patients with diabetes and hypertension, which might reduce the clinical significance of hyperfiltration. Risk stratification for mortality should be approached differently according to the specific conditions of the patient group.
Units of measurement and the inverse hyperbolic sine transformation
Authors: Aihounton Ghislain B D , Henningsen Arne 
Published: October 2020

SummaryThe inverse hyperbolic sine (IHS) transformation is frequently applied in econometric studies to transform right-skewed variables that include zero or negative values. We show that regression results can heavily depend on the units of measurement of IHS-transformed variables. Hence, arbitrary choices regarding the units of measurement for these variables can have a considerable effect on recommendations for policies or business decisions. In order to address this problem, we suggest a procedure for choosing units of measurement for IHS-transformed variables. A Monte Carlo simulation assesses this procedure under various scenarios, and an empirical illustration shows the relevance and applicability of our suggested procedure.
A new calcium score to predict paravalvular leak in transcatheter aortic valve implantation
Authors: Kofler Markus , Meyer Alexander , Schwartz Julian , Sündermann Simon , Penkalla Adam , Solowjowa Natalia , Klein Christoph , Unbehaun Axel , Falk Volkmar , Kempfert Jörg 
Published: October 2020

Abstract

OBJECTIVES
The present study sought to develop a reliable calcium score (Ca-score) to predict paravalvular leak (PVL) in patients undergoing transcatheter aortic valve (AV) implantation.

METHODS
A total of 965 patients were prospectively included from 2012 to 2019. Preprocedural contrast-media-enhanced computed tomography scans were analysed regarding the amount of AV cusp calcification and the presence of upper and lower left ventricular outflow tract calcification. The calcium volume threshold of each AV cusp [non-coronary cusp (NCC); left coronary cusp (LCC); right coronary cusp (RCC)] with optimal PVL prediction was defined using the Youden index value derived from receiver operating characteristic analysis. The final score was developed based on the multivariable regression analysis, while individual variables were weighted based on their corresponding odds ratio.

RESULTS
The AV calcium volume threshold with optimal PVL prediction was 733.6, 296.0 and 131.2 mm3 for the NCC, RCC and LCC respectively. Overall, calcification of the upper left ventricular outflow tract was present in 233 (23%), 111 (12%) and 304 (32%) of patients below the NCC, RCC and LCC respectively, while 260 (27%), 44 (5%) and 217 (23%) patients suffered from calcification under the NCC, RCC and LCC, respectively. A total Ca-score of ≥4 was present in 356 (37%) of patients and was independently associated with ≥ mild PVL [odds ratio 3.662; 95% confidence interval (2.740–4.911); P &lt; 0.001]. The area under the curve of the Ca-score was 0.713 [95% confidence interval (0.678–0.748); P &lt; 0.001].

CONCLUSION
The provided Ca-score independently correlates with the development of PVL and improves risk stratification in patients undergoing transcatheter AV implantation.
Farmer preferences for adopting precision farming technologies: a case study from Italy
Authors: Blasch J , van der Kroon B , van Beukering P , Munster R , Fabiani S , Nino P , Vanino S 
Published: October 2020

Abstract
Precision farming (PF) technologies can help to mitigate the environmental impact of agriculture by reducing fertiliser use and irrigation while saving cost for the farmer. However, these technologies are not widely adopted in Europe. We study farmers’ willingness to adopt PF technologies based on a choice experiment. Among other determinants, we explore the role of social influence for the valuation of PF technology features. The data are analysed using mixed and latent class logit models. Our results show that knowledge of fellow farmers who adopted the technology positively influences the valuation of PF technology features, stressing the importance of networks.
The Dynamic Proteome of Oligodendrocyte Lineage Differentiation Features Planar Cell Polarity and Macroautophagy Pathways
Authors: Pooyan Paria , Karamzadeh Razieh , Mirzaei Mehdi , Meyfour Anna , Amirkhan Ardeshir , Wu Yunqi , Gupta Vivek , Baharvand Hossein , Javan Mohammad , Salekdeh Ghasem Hosseini 
Published: October 2020

Abstract

Background
Generation of oligodendrocytes is a sophisticated multistep process, the mechanistic underpinnings of which are not fully understood and demand further investigation. To systematically profile proteome dynamics during human embryonic stem cell differentiation into oligodendrocytes, we applied in-depth quantitative proteomics at different developmental stages and monitored changes in protein abundance using a multiplexed tandem mass tag-based proteomics approach.

Findings
Our proteome data provided a comprehensive protein expression profile that highlighted specific expression clusters based on the protein abundances over the course of human oligodendrocyte lineage differentiation. We identified the eminence of the planar cell polarity signalling and autophagy (particularly macroautophagy) in the progression of oligodendrocyte lineage differentiation—the cooperation of which is assisted by 106 and 77 proteins, respectively, that showed significant expression changes in this differentiation process. Furthermore, differentially expressed protein analysis of the proteome profile of oligodendrocyte lineage cells revealed 378 proteins that were specifically upregulated only in 1 differentiation stage. In addition, comparative pairwise analysis of differentiation stages demonstrated that abundances of 352 proteins differentially changed between consecutive differentiation time points.

Conclusions
Our study provides a comprehensive systematic proteomics profile of oligodendrocyte lineage cells that can serve as a resource for identifying novel biomarkers from these cells and for indicating numerous proteins that may contribute to regulating the development of myelinating oligodendrocytes and other cells of oligodendrocyte lineage. We showed the importance of planar cell polarity signalling in oligodendrocyte lineage differentiation and revealed the autophagy-related proteins that participate in oligodendrocyte lineage differentiation.
Two Dualities: Markov and Schur–Weyl
Authors: Kuan Jeffrey 
Published: November 2020

Abstract
We show that quantum Schur–Weyl duality leads to Markov duality for a variety of asymmetric interacting particle systems. In particular, we consider the following three cases:
(1) Using a Schur–Weyl duality between a two-parameter quantum group and a two-parameter Hecke algebra from [6], we recover the Markov self-duality of multi-species ASEP previously discovered in [23] and [3].
(2) From a Schur–Weyl duality between a co-ideal subalgebra of a quantum group and a Hecke algebra of type B [2], we find a Markov duality for a multi-species open ASEP on the semi-infinite line. The duality functional has not previously appeared in the literature.
(3) A “fused” Hecke algebra from [15] leads to a new process, which we call braided ASEP. In braided ASEP, up to $m$ particles may occupy a site and up to $m$ particles may jump at a time. The Schur–Weyl duality between this Hecke algebra and a quantum group lead to a Markov duality. The duality function had previously appeared as the duality function of the multi-species ASEP$(q,m/2)$ [23] and the stochastic multi-species higher spin vertex model [24].
Computing Higher Symplectic Capacities I
Authors: Siegel Kyler 
Published: November 2020

AbstractWe present recursive formulas that compute the recently defined “higher symplectic capacities” for all convex toric domains. In the special case of four-dimensional ellipsoids, we apply homological perturbation theory to the associated filtered $\mathcal{L}_\infty $ algebras and prove that the resulting structure coefficients count punctured pseudoholomorphic curves in cobordisms between ellipsoids. As sample applications, we produce new previously inaccessible obstructions for stabilized embeddings of ellipsoids and polydisks and we give new counts of curves with tangency constraints.
Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers
Authors: Madhavan Subha , Bastarache Lisa , Brown Jeffrey S , Butte Atul J , Dorr David A , Embi Peter J , Friedman Charles P , Johnson Kevin B , Moore Jason H , Kohane Isaac S , Payne Philip R O , Tenenbaum Jessica D , Weiner Mark G , Wilcox Adam B , Ohno-Machado Lucila 
Published: October 2020

Abstract
Our goal is to summarize the collective experience of 15 organizations in dealing with uncoordinated efforts that result in unnecessary delays in understanding, predicting, preparing for, containing, and mitigating the COVID-19 pandemic in the US. Response efforts involve the collection and analysis of data corresponding to healthcare organizations, public health departments, socioeconomic indicators, as well as additional signals collected directly from individuals and communities. We focused on electronic health record (EHR) data, since EHRs can be leveraged and scaled to improve clinical care, research, and to inform public health decision-making. We outline the current challenges in the data ecosystem and the technology infrastructure that are relevant to COVID-19, as witnessed in our 15 institutions. The infrastructure includes registries and clinical data networks to support population-level analyses. We propose a specific set of strategic next steps to increase interoperability, overall organization, and efficiencies
Predictive Factors for Returning to Work in Burn Adult Patients That Were Working Before Their Injury
Authors: Tolentino-Bazán Karina , Chavez-Heres Tatiana , Morales-García Mariana , Macías-Hernández Salvador Israel , Ramírez-Ramírez Alma Citlallic , Velázquez-Bustamante Ana Esthela , Rhoades-Torres Gerald Martin , Velez-Palafox Mario 
Published: October 2020

Abstract
The goal of this study was to identify predictive factors that influence return to work in burn patients treated at the National Center for Burn Care and Research at the National Institute of Rehabilitation (CENIAQ) in México City. This is a retrospective case–control study that included all burn patients of working age (16–91 years old), treated between January 2011 and December 2013. Patients were divided into two groups: unemployed (no work group) and those who returned to work (RTW). The statistical analysis was performed by a logistic regression univariate and multivariate analysis. A total of 210 subjects were included in the study. The mean age was 38 ± 15 years and 66.7% of them were male. One hundred sixty-five patients (79.6%) were able to return to work after treatment. Through univariate analysis it was found that the predictive factors for not returning to work after injury were: education lower than elementary school (OR: 3.59; CI 95%: 1.79–7.32); history of epilepsy prior to burn injury (OR: 10.18; CI 95%: 1.9–54.43); total burned surface area (TBSA) ≥20% (OR: 2.87; CI 95%: 1.46–5.64); third-degree burns (OR: 2.64; CI 95%: 1.32–5.29); hospital stay ≥20 days (OR: 2.8; CI 95%: 1.47–5.68); length of stay in the burn intensive care unit (OR: 2.5; CI 95%: 1.25–4.97); secondary infection (OR: 2.24; CI 95%: 1.15–4.38); amputations (one or more regardless of amputation level; OR: 8; CI 95%: 2.52–25.30); burn of the upper extremity (shoulder; OR: 2.21; CI 95%: 0.97–5.03); thigh (OR: 2.41; CI 95%: 1.32–5.14); and knee (OR: 2.81; CI 95%: 1.21–6.55). Some of these factors have never been reported by other authors.
A Cautionary Tale of Etanercept Use in Patients With Toxic Epidermal Necrolysis
Authors: Faris Janie , Wilson Jordan , Dolman Heather S , Isaacson Andrew , Baylor Alfred E , Tyburski James G , White Michael T 
Published: October 2020

Abstract
Toxic epidermal necrolysis (TEN) is a severe cutaneous reaction that can be life-threatening. In the United States, there are no established guidelines for the treatment of TEN. Supportive care including fluids and supportive therapies are the current recommendations. Research surrounding TEN involves mostly case studies or small, uncontrolled studies. Recent literature describes the use of tumor necrosis factor blockers in the treatment of TEN with positive results. These case reports describe decreased time to reepithelization, hospital length of stay, and minimal side effects. Conversely, we present three fatalities after the administration of etanercept.
Social Norms and Fertility
Authors: Myong Sunha , Park JungJae , Yi Junjian 
Published: October 2020

Abstract
We document three stylized facts on marriage and fertility patterns in East Asian societies: (i) their marriage rates are among the highest in the world, but their total fertility is the lowest; (ii) although they have the lowest total fertility, almost all married women have at least one child; and (iii) almost no single women have any children. As these societies have been influenced by Confucianism over millennia, marriage and fertility decisions are potentially shaped by two social norms: the unequal gender division of childcare and the stigma attached to out-of-wedlock births. We present a model incorporating the two social norms, and structurally estimate it using data from South Korea. We find that the social norm of unequal gender division of childcare plays a significant role in the low fertility rates, especially for highly educated women. However, the social stigma attached to out-of-wedlock births has modest effects on the childlessness rate for single women. Our results show that the tension between the persistent gender ideology and the rapid socioeconomic development is the main driving force behind the unique marriage and fertility patterns in East Asian societies.
NEVBD Pesticide Resistance Monitoring Network: Establishing a Centralized Network to Increase Regional Capacity for Pesticide Resistance Detection and Monitoring
Authors: Burtis James C , Poggi Joseph D , McMillan Joseph R , Crans Scott C , Campbell Scott R , Isenberg Amy , Pulver Janice , Casey Patti , White Kerry , Zondag Craig , Badger John R , Berger Russell , Betz John , Giordano Stacey , Kawalkowski Malgorzata , Petersen John L , Williams Gregory , Andreadis Theodore G , Armstrong Philip M , Harrington Laura C 
Published: October 2020

AbstractPesticide resistance in arthropod vectors of disease agents is a growing issue globally. Despite the importance of resistance monitoring to inform mosquito control programs, no regional monitoring programs exist in the United States. The Northeastern Regional Center for Excellence in Vector-Borne Diseases (NEVBD) is a consortium of researchers and public health practitioners with a primary goal of supporting regional vector control activities. NEVBD initiated a pesticide resistance monitoring program to detect resistant mosquito populations throughout the northeastern United States. A regionwide survey was distributed to vector control agencies to determine needs and refine program development and in response, a specimen submission system was established, allowing agencies to submit Culex pipiens (L.) (Diptera:Culicidae) and Aedes albopictus (Skuse) (Diptera: Culicidae) for pesticide resistance testing. NEVBD also established larvicide resistance diagnostics for Bacillus thuringiensis israelensis (Bti) and methoprene. Additional diagnostics were developed for Cx. pipiens resistance to Lysinibacillus sphaericus. We received 58 survey responses, representing at least one agency from each of the 13 northeastern U.S. states. Results indicated that larvicides were deployed more frequently than adulticides, but rarely paired with resistance monitoring. Over 18,000 mosquitoes were tested from six states. Widespread low-level (1 × LC-99) methoprene resistance was detected in Cx. pipiens, but not in Ae. albopictus. No resistance to Bti or L. sphaericus was detected. Resistance to pyrethroids was detected in many locations for both species. Our results highlight the need for increased pesticide resistance testing in the United States and we provide guidance for building a centralized pesticide resistance testing program.
Iron in plant–pathogen interactions
Authors: Liu Yi , Kong Danyu , Wu Hui-Lan , Ling Hong-Qing 
Published: October 2020

Abstract
Iron is an essential element for most organisms. As an indispensable co-factor of many enzymes, iron is involved in various crucial metabolic processes that are required for the survival of plants and pathogens. Conversely, excessive iron produces highly active reactive oxygen species, which are toxic to the cells of plants and pathogens. Therefore, plants and pathogens have evolved sophisticated mechanisms to modulate iron status at a moderate level for maintaining their fitness. Over the past decades, many efforts have been made to reveal these mechanisms, and some progress has been made. In this review, we describe recent advances in understanding the roles of iron in plant–pathogen interactions and propose prospects for future studies.
Prevalence of coccidioidomycosis in cystic fibrosis patients residing in Southern Arizona
Authors: Estrada Lauren , August Jessica , Ojo Tammy , Campion Janet 
Published: November 2020

Abstract

Sparse data exists about patients with cystic fibrosis (CF) and their risk of contracting coccidioidiomycosis or Valley Fever, which is highly endemic in southern Arizona. A retrospective review of medical records of 79 adult CF patients residing in Arizona was performed. Two cases only of coccidioidomycosis were documented between in the 790 patient years. However, false-positive serologies were found in 15 patients. This 10-year retrospective review of 79 adult CF patients found that there was a lower prevalence of coccidioidomycosis in CF patients compared to that of the general population of the area.

Lay Summary
Patients with cystic fibrosis (CF) suffer from chronic lung infection. Little is known about CF and fungal infection. Coccidioidomycosis is a fungal infection common in Arizona and this study shows a lower infection rate from Coccidioidomycosis in CF patients compared to the general population.
A validated integrated clinical and molecular glioblastoma long-term survival-predictive nomogram
Authors: Ferguson Sherise D , Hodges Tiffany R , Majd Nazanin K , Alfaro-Munoz Kristin , Al-Holou Wajd N , Suki Dima , de Groot John F , Fuller Gregory N , Xue Lee , Li Miao , Jacobs Carmen , Rao Ganesh , Colen Rivka R , Xiu Joanne , Verhaak Roel , Spetzler David , Khasraw Mustafa , Sawaya Raymond , Long James P , Heimberger Amy B 
Published: October 2020

Abstract

Background
Glioblastoma (GBM) is the most common primary malignant brain tumor in adulthood. Despite multimodality treatments, including maximal safe resection followed by irradiation and chemotherapy, the median overall survival times range from 14 to 16 months. However, a small subset of GBM patients live beyond 5 years and are thus considered long-term survivors.

Methods
A retrospective analysis of the clinical, radiographic, and molecular features of patients with newly diagnosed primary GBM who underwent treatment at The University of Texas MD Anderson Cancer Center was conducted. Eighty patients had sufficient quantity and quality of tissue available for next-generation sequencing and immunohistochemical analysis. Factors associated with survival time were identified using proportional odds ordinal regression. We constructed a survival-predictive nomogram using a forward stepwise model that we subsequently validated using The Cancer Genome Atlas.

Results
Univariate analysis revealed 3 pivotal genetic alterations associated with GBM survival: both high tumor mutational burden (P = .0055) and PTEN mutations (P = .0235) negatively impacted survival, whereas IDH1 mutations positively impacted survival (P &lt; .0001). Clinical factors significantly associated with GBM survival included age (P &lt; .0001), preoperative Karnofsky Performance Scale score (P = .0001), sex (P = .0164), and clinical trial participation (P &lt; .0001). Higher preoperative T1-enhancing volume (P = .0497) was associated with shorter survival. The ratio of TI-enhancing to nonenhancing disease (T1/T2 ratio) also significantly impacted survival (P = .0022).

Conclusions
Our newly devised long-term survival-predictive nomogram based on clinical and genomic data can be used to advise patients regarding their potential outcomes and account for confounding factors in nonrandomized clinical trials.