bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Quality Improvement Intervention to Reduce Postoperative Opiate Use in Neonates
Authors: Grabski David F. , Vavolizza Rick D. , Lepore Sarah , Levin Daniel , Rasmussen Sara K. , Swanson Jonathan R. , McGahren Eugene D. , Gander Jeffrey W. 
Published: November 2020

BACKGROUND AND OBJECTIVES:Opiate use in neonates can affect clinical outcomes after surgery and may alter future neurodevelopment. We implemented a multimodal opioid reduction strategy in our NICU for infants undergoing nonemergent gastrointestinal surgery.METHODS:After multiple stakeholder’s meetings, our opioid reduction intervention included giving neonates postoperative standing intravenous acetaminophen every 6 hours for 48 hours, a standardized postsurgical sign-out with the NICU team in which pain control was directly addressed, and a series of postsurgical pain education seminars with NICU providers. To assess the impact of our quality improvement project, we used process control charts to investigate trends in postoperative opioid use in our preintervention (January 2012 to April 2016) and postintervention (May 2016 to September 2019) cohorts.RESULTS:A total of 77 infants were included in the study (40 in the preintervention cohort and 37 in the postintervention cohort). Patient characteristics were equivalent. The intervention significantly reduced the trend in postoperative morphine equivalents (median: 7.96 mg/kg in preintervention cohort versus 0.095 mg/kg in postintervention cohort; P &lt; .0001). The Neonatal Pain, Agitation, and Sedation Scale pain scores and safety profiles were equivalent in both groups. The intervention was also associated with a 24-hour reduction in postoperative ventilation time (P &lt; .048) and a 7-day reduction in the use of total parenteral nutrition (P &lt; .017).CONCLUSIONS:Standing intravenous acetaminophen coupled with provider education can successfully reduce opioid use in postsurgical neonates. Given the concern for opioid exposure in neonatal neurodevelopment as well as clinical benefits of reduced opioids, similar strategies for opioid reduction may prove useful at other institutions.
A conceptual framework of transformational leadership as an influential tool in the team performance
Authors: Islami Xhavit , Mulolli Enis 
Published: November 2020

Purpose – to identify the relationship between the transformational leadership approach and team performance, to analyze the existing literature that expresses the role of transformational leadership on team performance and to create a guideline for the leaders to increase their performance.Design/Method/Approach. To achieve the purpose o.f the study 86 articles and books were analyzed in terms of transformational leadership, team performance, and the relationship between these two concepts.Findings. Leadership is one of the essential words in today’s organizational direction. Despite that, transformational leadership has excellent attention on leadership theory. A few numbers of researches are done on analyzing the relationship between transformational leadership and team performance. The findings show that transformational leadership remains the most crucial leadership style in improving team performance.Originality / Value. The originality of the study is that no one researcher before has analyzed the relationship between transformational leadership and team performance, like this study, which includes analyzing the existing literature over 50 years of research made on this topic by numerous researchers.Theoretical implications. This study's theoretical significance increases opinion and change of judgment for performance appraisal on the working life quality.Practical implications. The practical benefit of this study is that it provides a guideline for managers use the leadership style correctly to increase the performance of a team, and as a result their organization.Research limitattions / Future research. The projections for further research are to analyze the relationship between the transformational leadership approach and team performance, add other dimensions, and measure their common effects on such relationship.
Paper type – theoretical.
SPIRITED METALS AND THE OECONOMY OF RESOURCES IN EARLY MODERN EUROPEAN MINING
Authors: ASMUSSEN TINA 
Published: November 2020

ABSTRACT
This article examines the perception and valuation of mineral resources in sixteenth and seventeenth-century European mining regions. It aims to critically review the utilitarian and anthropocentric view of mining and mineral resource production, circulation and consumption that is shaped by a long tradition of economic history and history of technology. To understand human relation to the underground and its resources only in terms of innovation and rationalization means to ignore the many different layers by which resource landscapes affected the miner’s perception of nature and mineral matter. The literary, material and visual culture of sixteenth- and early seventeenth-century central European mining sites proves to be fruitful ground for historicizing the interplay between manual labor, mechanical arts, natural resources and religion in mining landscapes. This paper aims to connect the material and immaterial or the physical and symbolic dimensions of human-nature entanglement in early modern mining and suggests a way to locate human and geological agency within the context of a divine oeconomy.
More Than 40 yr of Potentially Induced Seismicity Close to the San Andreas Fault in San Ardo, Central California
Authors: Goebel Thomas H. W. , Shirzaei Manoochehr 
Published: November 2020

AbstractEvidence for fluid-injection-induced seismicity is rare in California hydrocarbon basins, despite widespread injection close to seismically active faults. We investigate a potential case of injection-induced earthquakes associated with San Ardo oilfield operations that began in the early 1950s. The largest potentially induced events occurred in 1955 (ML 5.2) and 1985 (Mw 4.5) within ∼6  km from the oilfield. We analyze Synthetic Aperture Radar interferometric images acquired by Sentinel-1A/B satellites between 2016 and 2020 and find surface deformation of up to 1.5  cm/yr, indicating pressure-imbalance in parts of the oilfield. Fluid injection in San Ardo is concentrated within highly permeable rocks directly above the granitic basement at a depth of ∼800  m. Seismicity predominantly occurs along basement faults at 6–13 km depths. Seismicity and wastewater disposal wells are spatially correlated to the north of the oilfield. Temporal correlations are observed over more than 40 yr with correlation coefficients of up to 0.71 for seismicity within a 24 km distance from the oilfield. Such large distances have not previously been observed in California but are similar to the large spatial footprint of injection in Oklahoma. The San Ardo seismicity shows anomalous clustering with earthquakes consistently occurring at close spatial proximity but long interevent times. Similar clustering has previously been reported in California geothermal fields and may be indicative of seismicity driven by long-term, spatially persistent external forcing.The complexity of seismic behavior at San Ardo suggests that multiple processes, such as elastic stress transfer and aseismic slip transients, contribute to the potentially induced earthquakes. The present observations show that fluid-injection operations occur close to seismically active faults in California. Yet, seismicity is predominantly observed on smaller unmapped faults with little observational evidence that large faults are sensitive to induced stress changes.
Celebrity Earthquakes
Authors: Agnew Duncan Carr 
Published: November 2020

AbstractI discuss how much attention different earthquakes get in the scientific and nonscientific literature. For the former, all earthquakes above magnitude 7.5 appear in a scientific article, and the number of articles tends to increase with magnitude. For the latter, most shocks, even if damaging, become largely forgotten in a few decades, though some, such as the 1906 San Francisco earthquake, live on in popular memory.
IMPLANTATION SYSTEMS AND SURFACE IRRIGATION FOR MAIZE CROP IN LOWLAND AREAS
Authors: GOLLO ELISA DE ALMEIDA , ROBAINA ADROALDO DIAS , PEITER MARCIA XAVIER , MARCHESAN ENIO , GIACOMELI ROBSON , CASSOL GUILHERME VESTENA 
Published: November 2020

The raised seedbed implantation system and the use of surfaceirrigation can be important practices to enable rotation with rice and ensure the expression of the productive potential of maize in lowland areas. The purpose of this work was to evaluate the use of implantation systems and surface irrigation on agronomic characteristics and grain yield of maize crop in lowland areas. Two experiments were conducted in the experimental lowland area of the Federal University of Santa Maria – UFSM, during the 2014/15 crop season. The experiments consisted in the use of implantation systems with and without raised seedbeds and surface irrigation. The evaluated characteristics were plant height, shoot dry mass, leaf area index, yield components and grain yield. Plant height, leaf area index and shoot dry mass are higher when maize is grown in raised seedbeds in lowland areas. The raised seedbed system can be considered an efficient way to improve drainage in the cultivation area, resulting in a higher grain yield. The use of irrigation during periods of water deficit, in the critical period of crop growth, increases the grain yield of maize grown in lowland areas.
Why reducing the cosmic sound horizon can not fully resolve the Hubble tension
Authors: Jedamzik Karsten , Pogosian Levon , Zhao Gong-Bo 
Published: November 2020

Abstract
The mismatch between the locally measured expansion rate of the universe and the one inferred from the cosmic microwave background measurements by Planck in the context of the standard ΛCDM, known as the Hubble tension, has become one of the most pressing problems in cosmology. A large number of amendments to the ΛCDM model have been proposed in order to solve this tension. Many of them introduce new physics, such as early dark energy, modifications of the standard model neutrino sector, extra radiation, primordial magnetic fields or varying fundamental constants, with the aim of reducing the sound horizon at recombination r*. We demonstrate here that any model which only reduces r* can never fully resolve the Hubble tension while remaining consistent with other cosmological datasets. We show explicitly that models which operate at lower matter density Ωmh2 run into tension with the observations of baryon acoustic oscillations, while models operating at higher Ωmh2 develop tension with galaxy weak lensing data.
Profiling and Functional Analysis of Long Noncoding RNAs and mRNAs during Porcine Skeletal Muscle Development
Authors: Tan Ya , Gan Mailin , Shen Linyuan , Li Liang , Fan Yuan , Chen Ying , Chen Lei , Niu Lili , Zhao Ye , Jiang Anan , Jiang Dongmei , Zhang Shunhua , Zhu Li 
Published: November 2020

Abstract

BackgroundGene transcripts or mRNAs and long noncoding RNAs (lncRNAs) are differentially expressed during porcine skeletal muscle development. However, only a few studies have been conducted on skeletal muscle transcriptome in pigs based on timepoints according to the growth curve for porcine. Here, we investigated gene expression in Qingyu pigs at three different growth stages: of the inflection point with the maximum growth rate (MGI), inflection point of gradual increase stage to rapid increasing stage (GRI) and inflection point of rapid increasing stage to slowly increasing stage (RSI). Subsequently, we explored gene expression profiles during muscle development at the MGI, GRI and RSI stages by Ribo-Zero RNA sequencing. ResultsQingyu pigs reached the MGI, GRI and RSI stages at 156.40, 23.82 and 288.97 days of age with 51.73, 3.14 and 107.03 kg body weight, respectively. A total of 14,530 mRNAs and 11,970 lncRNAs were identified at the three stages, and 645, 323 differentially expressed genes (DEGs) and 696, 760 differentially expressed lncRNAs (DELs) were identified in the GRI vs. MGI, RSI vs. MGI comparisons. Functional enrichment analysis revealed that genes involved in immune system development and energy metabolism (mainly relate to amino acid, carbohydrate and lipid) were enriched at the GRI and MGI stages, respectively, whereas genes involved in energy and lipid metabolism were enriched at the RSI stage. We further characterized G1430, an abundant lncRNA. The full-length sequence (316 nt) of lncRNA G1430 was determined by rapid amplification of cDNA ends (RACE). Subcellular distribution analysis by quantitative real-time PCR (qRT-PCR) revealed that G1430 is a cytoplasmic lncRNA. Binding site prediction and dual luciferase assay showed that lncRNA G1430 directly binds to microRNA 133a (miR-133a). Conclusion﻿These findings indicate lncRNAs and a certain lncRNA G1430 involved in the regulatory mechanism during pig muscle development. Our findings provide the basis for further investigation of the regulatory mechanisms and molecular genetics of muscle development in pigs.
Non-point source pollution and long-term effects of best management measures simulated in the Qifeng River Basin in the karst area of Southwest China
Authors: Liying Liang , Litang Qin , Guangsheng Peng , Honghu Zeng , Zheng Liu , Jianwen Yang 
Published: November 2020

Abstract
Non-point source (NPS) pollution has caused serious threats to water quality on a global scale. However, the investigation using a single measure with multi-scenarios for the long-term simulation in karst agricultural watershed is still lacking. In this study, the Annualized Agricultural Non-Point Source Pollution (AnnAGNPS) model was developed to verify the applicability in a karst agricultural watershed. Then, the model was used to determine the best management measures (BMPs) and the reduction rate characteristics under long-term effects (about 10 years) in the watershed. The AnnAGNPS model perform well in simulating in NPS pollution with R2 (0.95 for runoff, 0.93 for TN, and 0.93 for TP, respectively) and NSE (0.95 for runoff, 0.53 for TN, and 0.57 for TP, respectively). The output of total nitrogen (TN) and total phosphorus (TP) primarily occurred in the rainy season (up to 80%). The loss of mass of TN and TP were mainly observed in orchards and woodlands in the upstream of each sub-basin. The results from AnnAGNPS model demonstrated that different BMPs had significant impacts on the reduction of NPS pollution. Furthermore, a same BMPs measure showed it was closely related to land use in the watershed. In the Qifeng River watershed, stubble tillage (ST) showed to be useful with relatively good reduction rates (16.64% for sediment, 17.85% for TN, and 17.80% for TP, respectively). The simulation results indicated that AnnAGNPS was a valuable tool after validation for the planning and management of the watershed in karst areas.
Synthesis, Cytotoxicity, Antioxidant and Antimicrobial Activity of Indole Based Novel Small Molecules
Authors: Kurt-Kızıldoğan Aslıhan , Otur Çiğdem , Yılmaz Can , Arslan Sevki , Mutlu Dogukan , Kivrak Arif , Algso Muheb , Kayhan Abdussamet , Çetin Doğan , Konus Metin 
Published: November 2020

Aim:
In this study experiments were carried out to explore antioxidant, antimicrobial,
cytotoxic properties of novel indole derivative 1-ethyl-2-phenyl-3-phenylethyl-3-thiophen-2-yl-1Hindole
(EPI) together with its effect on glutathione S-transferases (GST) activities in human liver
carcinoma (HepG2) cells.

Background::
Indoles probably represent one of the most important heterocyclic structures that have
been attracting the interest of many scientists in drug discovery.

Objective:
The present study was carried out to explore antioxidant, antimicrobial, cytotoxic properties
of novel indole derivative 1-ethyl-2-phenyl-3-phenylethyl-3-thiophen-2-yl-1H-indole (EPI) and its
effect on glutathione S-transferases (GST) activities in human liver carcinoma (HepG2) cells.

Materials and Methods:
Pd-catalyst Sonogashira coupling reactions, MTT Assay, Antioxidant
capacity test, Antimicrobial test, GST enzyme activity test.

Results:
1-ethyl-2-phenyl-3-(phenylethynyl)-1H-indole had antioxidant and antimicrobial properties.
It displayed significant induction in glutathione S-transferases (GST) enzyme activity in human liver
cancer cell lines (HepG2), but cytotoxic effect on all tested cancer cell lines could not be observed.

Conclusion::
All of these results showed that 1-ethyl-2-phenyl-3-(phenylethynyl)-1H-indole had
antioxidant and antimicrobial properties without cytotoxic effect, which could make it a promising
active component with further studies.
Identification of Cancerlectins By Using Cascade Linear Discriminant Analysis and Optimal g-gap Tripeptide Composition
Authors: Yang Liangwei , Gao Hui , Wu Keyu , Zhang Haotian , Li Changyu , Tang Lixia 
Published: November 2020

Background:
Lectins are a diverse group of glycoproteins or glycoconjugate proteins
that can be extracted from plants, invertebrates and higher animals. Cancerlectins, a kind of lectins,
which play a key role in the process of tumor cells interacting with each other and are being employed
as therapeutic agents. A full understanding of cancerlectins is significant because it provides
a tool for the future direction of cancer therapy.

Objective:
To develop an accurate and practically useful timesaving tool to identify cancerlectins.
A novel sequence-based method is proposed along with a correlative webserver to access the proposed
tool.

Methods:
Firstly, protein features were extracted in a newly feature building way termed, g-gap
tripeptide composition. After which a proposed cascade linear discriminant analysis (Cascade
LDA) is used to alleviate the high dimensional difficulties with the Analysis Of Variance (ANOVA)
as a feature importance criterion. Finally, Support Vector Machine (SVM) is used as the classifier
to identify cancerlectins.

Results:
The proposed method achieved an accuracy of 91.34% with sensitivity of 89.89%, specificity
of 92.48% and an 0.8318 Mathew’s correlation coefficient based on only 13 fusion features
in jackknife cross validation, the result of which is superior to other published methods in this domain.

Conclusion:
In this study, a new method based only on primary structure of protein is proposed
and experimental results show that it could be a promising tool to identify cancerlectins. An openaccess
webserver is made available in this work to facilitate other related works.
Cognitive Bias Modification Training to Improve Implicit Vitality in Patients With Breast Cancer: App Design Using a Cocreation Approach
Authors: Wolbers Roos , Bode Christina , Siemerink Ester , Siesling Sabine , Pieterse Marcel 
Published: November 2020

Background
More than 50% of all patients with breast cancer experience fatigue symptoms during and after their treatment course. Recent evidence has shown that fatigue is partly driven by cognitive biases such as the self-as-fatigued identity bias, which may be corrected with computer-based cognitive bias modification (CBM) techniques.

Objective
The aim of this study was to design a CBM-training app by adopting a cocreation approach.

Methods
Semistructured interviews were conducted with 7 health care professionals, 3 patients with breast cancer, and 2 patient advocates. The aim of the interviews was to collect input for the design of the CBM training, taking the values and preferences of the stakeholders into account, and to determine the timing and implementation of the training in the treatment course.

Results
Overall, the interviews showed that the concept of CBM was accepted among all stakeholders. Important requirements were revealed such as the training needs to be simple and undemanding, yet engaging and persuasive. Based on the results, an eHealth app IVY (Implicit VitalitY) was created. The findings from the interviews suggested that IVY should be offered early in the breast cancer treatment course and should be carefully aligned with clinical treatment.

Conclusions
The findings of this study show that using CBM as a preventive approach to target cancer-related fatigue is an innovative technique, and this approach was embraced by breast cancer stakeholders. Our study suggests that CBM training has several benefits such as being easy to use and potentially increasing perceived self-control in patients.
Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework
Authors: Liu Honglei , Zhang Zhiqiang , Xu Yan , Wang Ni , Huang Yanqun , Yang Zhenghan , Jiang Rui , Chen Hui 
Published: November 2020

Background
Liver cancer is a substantial disease burden in China. As one of the primary diagnostic tools for detecting liver cancer, dynamic contrast-enhanced computed tomography provides detailed evidences for diagnosis that are recorded in free-text radiology reports.

Objective
The aim of our study was to apply a deep learning model and rule-based natural language processing (NLP) method to identify evidences for liver cancer diagnosis automatically.

Methods
We proposed a pretrained, fine-tuned BERT (Bidirectional Encoder Representations from Transformers)-based BiLSTM-CRF (Bidirectional Long Short-Term Memory-Conditional Random Field) model to recognize the phrases of APHE (hyperintense enhancement in the arterial phase) and PDPH (hypointense in the portal and delayed phases). To identify more essential diagnostic evidences, we used the traditional rule-based NLP methods for the extraction of radiological features. APHE, PDPH, and other extracted radiological features were used to design a computer-aided liver cancer diagnosis framework by random forest.

Results
The BERT-BiLSTM-CRF predicted the phrases of APHE and PDPH with an F1 score of 98.40% and 90.67%, respectively. The prediction model using combined features had a higher performance (F1 score, 88.55%) than those using APHE and PDPH (84.88%) or other extracted radiological features (83.52%). APHE and PDPH were the top 2 essential features for liver cancer diagnosis.

Conclusions
This work was a comprehensive NLP study, wherein we identified evidences for the diagnosis of liver cancer from Chinese radiology reports, considering both clinical knowledge and radiology findings. The BERT-based deep learning method for the extraction of diagnostic evidence achieved state-of-the-art performance. The high performance proves the feasibility of the BERT-BiLSTM-CRF model in information extraction from Chinese radiology reports. The findings of our study suggest that the deep learning–based method for automatically identifying evidences for diagnosis can be extended to other types of Chinese clinical texts.