bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterizing preferred terms for geographically distant simulations: distance, remote and telesimulation
Authors: Chang Todd P , Elkin Rachel , Boyle Tehnaz P , Nishisaki Akira , Walsh Barbara , Benary Doreen , Auerbach Marc , Camacho Cheryl , Calhoun Aaron , Stapleton Stephanie N , Whitfill Travis , Wood Trish , Fayyaz Jabeen , Gross Isabel T , Thomas Anita A 
Published: September 2022

Simulationists lack standard terms to describe new practices accommodating pandemic restrictions. A standard language around these new simulation practices allows ease of communication among simulationists in various settings.
We explored consensus terminology for simulation accommodating geographic separation of participants, facilitators or equipment. We used an iterative process with participants of two simulation conferences, with small groups and survey ranking.
Small groups (n = 121) and survey ranking (n = 54) were used with
This research has deepened our understanding of how simulationists interpret this terminology, including the derived themes: (1) physical distance/separation, (2) overarching nature of the term and (3) implications from existing terms. We further deepen the conceptual discussion on healthcare simulation aligned with the search of the terminologies. We propose there are nuances that prevent an early consensus recommendation. A taxonomy of descriptors specifying the conduct of
Detección de la señalización de tránsito vertical con redes neuronales convolucionales basadas en bloques residuales
Authors: Alarcon Vargas Adrian Javier 
Published: September 2022

The objective of the present work is to train a neural network capable of detecting vertical traffic signaling and classify it using residual blocks, as they allow deeper neural networks. The methodology used for the development of the neural network comprises four phases: neural network definition, training, utilization, and maintenance of the neural network. For the development of theneural network there are two datasets, the first is of German origin, consists of 50,000 images and is widely used for the classification of traffic signs; and the second of Bolivian origin, which has 9,548 road images. The percentage of efficiency of theneural network no. 1 with the GTSRB dataset is high, obtaining a value of 94.36%, it also includes high values in the classification report, otherwise, it happens with the Bolivia dataset because the dataset is unbalanced.
Strategy for successful urine sample preparation for LC-MS/MS device at drug verification laboratory
Authors: EREN Esin , GÖNCÜ SÜRÜ Asuman , YILMAZ Necat , ÖZ Cemile 
Published: September 2022

Objectives
The use of liquid chromatography with tandem mass spectrometry (LC-MS/MS) device has increased significantly in toxicology validation laboratories in recent years. The maintenance cost of this expensive equipment is high as well as the cost of consumables. Reduction of the matrix effect and preparation more clear samples are very important for the validation of methods in clinical laboratories.
The primary goal is to create a cleaner urine sample preparation technique to reduce the cost of maintenance of the LC-MS/MS device without affecting test results.
Methods
We prepared the patients’ urine in two different ways; routine urine preparation method and used our centrifuged method (14000 rpm, 10 minutes) for routine illicit substance use. The standard material used to determine whether there was a statistical difference in the urine sample with both different methods was added to both urine samples.
Results
Our findings showed that there was no statistical difference between the results of both methods for detection of illicit substance use. There was no difference between the high and low quantities of the 14 illicit substances measured and the centrifuged method and routine urine preparation methods (p
Impact of late sowing on morphological and yield traits in 40s bread wheat
Authors: Adnan Muhammad , Khan Abdullah , Mohammad Fida , Ali Fawad , Hussain Quaid 
Published: September 2022

The unpredictability and large fluctuation of the climatic conditions in rainfed regions influences spring wheat yield and grain quality. These variations offer the opportunity for the production of better quality wheat. The effect of late sowing on wheat morphology and grain yield was studied in different 40s bread wheat at the research farm of PBG, The University of Agriculture Peshawar, Pakistan during 2013-14. Forty wheat genotypes were tested under normal and late sowing in 5 × 8 alpha lattice design with three replicates. Combined analysis of variance exhibited significant genotype by environment interactions for days to heading, flag leaf area, days to maturity, plant height, spikes m-2, grains spike-1,1000-grain weight, biomass yield, grain yield and harvest index. Days to emergence, headings, maturity ranged from 9 to 12, 111 to 121 and 155 to 164 days under normal while under late planting it ranged from 25 to 29, 95 to107 and 137 to 143 days. Mean data under normal planting ranged between 77 to 125cm; 25 to 41cm2; 99 to 199; 10 to 13 cm 32 to 49; 52 to 88g; 8533 to 13667 kg, 1869 to 4681 kg; 21 to 35% whereas under late planting its range was 63 to 91 cm, 18 to 37 cm2, 57 to 137, 8 to 12 cm, 22 to 52, 36 to 75g, 2400 to 7933 kg, 540 to 2739 kg and 20 to 42% for plant height, flag leaf area, spikes m-2, spike length, grains spike-1, 1000-grain weight, biomass, grain yield and harvest index, respectively. Wheat genotypes planted at late condition took maximum days to emergence, while less number of days were reacquired for wheat genotypes planted at normal sowing date to get mature. Late planting negatively affected all yield contributing traits like; spikes m-2 (29%), grains spike-1 (18%) 1000-grain weight (29 %), biomass (55%) and grain yield (50 %). On the basis of the current exploration, it is obtained that genotype SRN 19111 was identified superior for 1000-grain weight, biomass yield and grain yield under normal planting, while genotype PR-107 exhibited higher grain yield under late planting. Therefore, these genotypes are recommended for further extensive testing.
Role of Human Factors in Preventing Aviation Accidents: An Insight
Authors: Mathavara Kamaleshaiah , Ramachandran Guruprasad 
Published: September 2022

Flight is one of the safest modes of travel even today. However, nearly 75 percent of civil and military aviation accidents around the globe have been attributed to human errors at various levels such as design, drawing, manufacturing, assembly, maintenance, and flight operations. This paper traces the civil aviation accidents that have occurred during the last eight decades and brings out the vital factors leading to the disaster by considering a few representative cases. The concept of human factors is introduced, and the various models that have been in use to understand the root causes leading to aviation accidents are presented. An example of the application of human factors analysis and classification system (HFACS) framework is narrated. It is found that majority of recent civil aviation accidents have occurred during the landing and approach phases, and it is possible to minimize the accidents by suitably maintaining situational awareness. Considering the growth of air traffic that is expected to double in the next 10–15 years, the role of human factors in preventing aviation accidents is even more relevant. A new model for human factors is proposed. Way forward to even safer skies is presented.
Comparison of Estimated No Surprises Act Qualifying Payment Amounts and Payments to In-Network and Out-of-Network Emergency Medicine Professionals
Authors: Duffy Erin Lindsey , Biener Adam , Garmon Christopher , Trish Erin E. 
Published: September 2022

ImportanceThe No Surprises Act (NSA), which took effect on January 1, 2022, applies a qualifying payment amount (QPA) as an out-of-network payment reference point. An understanding of how QPA measures compare with the in-network and out-of-network payments physicians received before the NSA implementation may be useful to policy makers and stakeholders.ObjectiveTo estimate the QPA for geographic and funding markets and compare QPA estimates with in-network and out-of-network payments for 2019 emergency medicine claims.Design, Setting, and ParticipantsThis cross-sectional study of US commercial insurance claims assessed the Health Care Cost Institute’s 2019 commercial professional emergency medicine claims (Current Procedural Terminology [CPT] codes 99281-99285 and 99291) and included enrollees in commercial health maintenance organizations, exclusive provider organizations, point of service, and preferred provider organizations self-funded and fully insured through Aetna, Humana, and some Blue Health Intelligence plans. Claims with missing or inconsistent data fields were excluded. Data were analyzed November 1, 2021, to April 7, 2022.Main Outcomes and MeasuresThe QPA was calculated as the median allowed amount of all observed claims within strata defined by geographic region, CPT code, and funding market. For each stratum, the ratio of mean in-network allowed amounts to QPAs and mean out-of-network allowed amounts to QPAs were calculated. Then the volume-weighted mean of these ratios was computed across CPT codes within each geographic and funding market stratum.ResultsThe analytic sample included 7 556 541 professional emergency claims with a mean (SD) allowed amount of $313 ($306) and mean (SD) QPA of $252 ($133). Among the 650 geographic and market strata in the sample, the mean in-network allowed amounts were 14% (ratio, 0.96) higher than the estimated QPA. For the subset of strata with a sufficient sample of out-of-network claims (n = 227), the mean out-of-network payments were 112% (ratio, 2.12) higher than the QPA. More generous out-of-network payments were from self-funded plans (120% [ratio, 2.20] higher than the QPA estimate) vs fully insured plans (43% [ratio, 1.43] higher than the QPA estimate). Mean in-network allowed amounts for nonphysician clinicians were 4% (ratio, 1.04) lower than the QPA, whereas mean in-network allowed amounts for physicians were 15% (ratio, 1.15) higher than the QPA estimates. These differences remained after adjusting for geographic region.Conclusions and RelevanceThe findings of this cross-sectional study of US commercial insurance claims suggest that the NSA may have heterogeneous implications for out-of-network payments and negotiating leverage experienced by emergency medicine physicians in different geographic markets, with the potential for greater implications in the self-funded market.
Comparison of microbiomes on floors of men's restrooms, before and after cleaning with different cleaning methods at two railway stations
Authors: Kawasaki Tamami , Yoshie Sachiko , Kyotani Takashi , Ushiogi Tomoyoshi 
Published: September 2022

AbstractTwo methods of floor cleaning (dry and wet) are employed in railway station restrooms in Japan dependent on the type of flooring. To date, research characterizing floor microbiomes is scarce. In this study, the microbiomes of men's restroom floors in two railway stations subject to different cleaning methods were analyzed. The microbiomes of dry‐cleaned restroom floors were similar from one sampling location to another prior to cleaning. The microbiomes of five sampling points on the floor before and after cleaning were significantly different. Paracoccus, Staphylococcus, Corynebacterium, and Rickettsiella were characteristic genera before cleaning, and Cellvibrio, Salinicoccus, and Asticcacaulis were characteristic after cleaning. The microbiomes of wet‐cleaned restroom floors differed among sampling points prior to cleaning. The microbiomes of five sampling points on the floor before and after cleaning were not significantly different. Anaerococcus and Pseudomonas were the characteristics before and after cleaning genera, respectively. Analysis of the airborne microbiomes inside and outside the men's restrooms revealed that Kocuria, Pseudomonas, and Cellvibrio, which were the dominant genera on the floor following dry cleaning, and Pseudomonas, which were the dominant genera on the floor following a wet cleaning, were detected in the air inside the respective restrooms following cleaning.
Preferences and Insights for Participation in a Rheumatoid Arthritis Clinical Prevention Trial: A Mixed‐Methods Study
Authors: Fleischer Chelsie L. , Bemis Elizabeth A. , Feser Marie L. , Kormendi Vasilisa A. , Zhang Alvina , Ketcham Katherine , White Sharon D. , Striebich Christopher C. , Deane Kevin D. , Harrison Mark 
Published: September 2022

ObjectiveIn rheumatoid arthritis (RA), anti–citrullinated protein antibodies (ACPA) can be elevated prior to inflammatory arthritis (IA). The potential to intervene in people with ACPA positivity underpins the development of prevention trials in RA. The Research Participation Influences Study examined factors influencing the decisions of individuals who are ACPA(+) to participate in a prevention trial using qualitative and quantitative methods.MethodsIndividuals with ACPA positivity without IA were provided information regarding their risk for future RA, were provided a description of a clinical prevention trial using hydroxychloroquine, and were asked if they would participate in the trial. After agreeing to or declining participation, they were surveyed on what influenced their decision using Likert scales and open‐response questions.ResultsThirty‐nine individuals who agreed to trial participation (enrollees) and 31 individuals who declined (nonenrollees) completed surveys. Enrollees expressed greater perceived risk for RA and greater perception of benefit to themselves or others than nonenrollees. Nonenrollees expressed greater concern about medication effects and less personal or family experience with RA than enrollees. There was a higher proportion of first‐degree relatives (FDRs) of people with RA in enrollees versus nonenrollees (54% vs. 23%, P = 0.01).ConclusionEnrollees were more likely than nonenrollees to be FDRs, exhibit stronger concern for personal risk for RA, and have less concern about adverse effects. Further exploration is needed to determine why these differences were present, including exploration of symptoms and the role of family history. Understanding these issues will better inform researchers and individuals who are candidates for prevention.
High‐Throughput Data‐Driven Prediction of Stable High‐Performance Na‐Ion Sulfide Solid Electrolytes
Authors: Jang Seong‐Hoon , Tateyama Yoshitaka , Jalem Randy 
Published: September 2022

AbstractDesigning solid electrolytes (SEs) for solid‐state batteries is a challenging issue. Herein, by using data‐driven techniques and a multi‐stage density functional theory molecular dynamics (DFT‐MD) sampling workflow that is developed, 523 443 978 cell structure samples of in‐silico Na‐based sulfides with isolated tetrahedral framework units are generated and a largely unexplored chemical space of the filtered 170 samples is examined to find novel SE candidates. Given the DFT‐accurate MD ion trajectory configurations for the largest cell structure dataset so far, the three (meta)stable solid‐solution series with high Na‐ion conductivity σNa,300K = 10−3–10−2 S cm−1: Na5−2xAl1 −xVxS4, Na5−2xAl1−xTaxS4, and Na5−2xIn1−xSbxS4(0.375 ≤x ≤ 0.625) are suggested. Moreover, robust descriptors for Na‐ion self‐diffusion coefficientDNa,300Kaccumulated from the sampling workflow by exhaustive multiple regression modeling is revealed, indicating that crystal structures with wide NaS3solid angles and high‐valence dopants with small ionic radii result in high Na‐ion diffusivity.
Integrin‐Enriched Membrane Nanocarrier for the Specific Delivery of RGD‐modified Relaxin Analog to Inhibit Pancreatic Cancer Liver Metastasis through Reversing Hepatic Stellate Cell Activation
Authors: Zhang Lijing , Li Zian , Wang Fazhan , Chen Qiang , Zu Mali , Li Xingfan , Wan Jiajia , Yao Xiaohan , Lou Xiaohan , Shi Yupeng , Sheng Yuqiao , Wang Ming , Yang Jinjian , Wang Xinjun , Qin Zhihai , Ji Tianjiao 
Published: September 2022

AbstractLiver metastasis is common in patients with pancreatic cancer (PC) and is the leading cause of death associated with PC. Liver fibrosis induced by activated hepatic stellate cells (HSCs) creates a favorable metastatic microenvironment that promotes metastasis growth. B7‐33, a therapeutic peptide (relaxin analog) that targets relaxin family peptide receptors on activated HSCs, inhibits the pSMAD2/3 signaling pathway and weakens the fibrogenic properties of activated HSCs. However, the short half‐life and highly conserved nature of the B7‐33 sequence limit its application in vivo. Here, B7‐33 is modified with the cRGD sequence, which does not affect the efficacy of B7‐33 and allows B7‐33 to assemble into vascular endothelial cell membrane‐derived vesicles by specifically interacting with integrin αvβ3. These rationally designed vesicles (B7‐33‐HNPs) are able to prolong the half‐life of B7‐33 in vivo and accumulate in the liver to reverse HSCs activation. Moreover, B7‐33‐HNPs prevent the formation and growth of liver metastases in a mouse model of metastatic PC. This study proposes a feasible strategy for building a therapeutic peptide delivery system through specific interactions, serving as a reference for preventing liver metastasis of PC through the regulation of HSCs.
A Universal Machine Learning Framework for Electrocatalyst Innovation: A Case Study of Discovering Alloys for Hydrogen Evolution Reaction
Authors: Chen Letian , Tian Yun , Hu Xu , Yao Sai , Lu Zhengyu , Chen Suya , Zhang Xu , Zhou Zhen 
Published: September 2022

AbstractMassive efforts have been made to develop efficient electrocatalysts for green hydrogen production. The introduction of machine learning (ML) has brought new opportunities to the design of electrocatalysts. However, current ML studies have shown that the efficiency and accuracy of this method in electrocatalyst development are severely hindered by two major problems, high computational cost paid for electronic or geometrical structures with high accuracy, and large errors resulted from those easily accessible and relatively simple physical and chemical properties with lower level of accuracy. Here, a universal ML framework is proposed that achieves local structure optimization by using local machine learning potential (MLP) to efficiently obtain accurate structure descriptors, and by combining simple physical properties with graph convolutional neural networks, 43 high‐performance alloys are successfully screened as potential hydrogen evolution reaction electrocatalysts from 2973 candidates. More importantly, part of the best candidates identified from this framework have been verified in experiments, and one of them (AgPd) is systematically investigated by ab initio calculations under realistic electrocatalytic environments to further demonstrate the accuracy. More significantly, the computational efficiency and accuracy can be compromised with this local MLP optimized structural descriptor as the input, and a new paradigm could be established in designing high‐performance electrocatalysts.
Biomimetic Bacteriophage‐Like Particles Formed from Probiotic Extracts and NO Donors for Eradicating Multidrug‐Resistant Staphylococcus aureus
Authors: Gong Caixin , Guan Wei , Liu Xiangmei , Zheng Yufeng , Li Zhaoyang , Zhang Yu , Zhu Shengli , Jiang Hui , Cui Zhenduo , Wu Shuilin 
Published: September 2022

AbstractEffectively clearing multidrug‐resistant bacteria through nonantibiotic treatments is crucial for the recovery of infected tissues in favorable biological environments. Herein, a thermally responsive donor of cell‐messenger nitric oxide (NO) is combined with extracts of food‐grade Lactobacillus casei to form biomimetic phage‐like microparticles with a tailspike structure. These particles can invade bacterial membranes and release NO to disrupt nitrogen and respiratory metabolisms, which initiates the programmed death of multidrug‐resistant Staphylococcus aureus (MRSA) for inducing lysis, like the bacterial virus. Experiments suggest that these microparticles can also weaken bacterial toxicity and provide favorable conditions for cell proliferation because of the continuously released NO. By encapsulating these microparticles into graphene‐oxide‐doped polymers, a dual‐mode antibacterial hydrogel (DMAH) can be constructed. In vivo results reveal that the DMAH achieves a long‐time sterilization of MRSA with 99.84 ± 0.13% antibacterial rate in the dark because of the phage‐like performance of the biomimetic microparticles. In its other antibacterial mode, DMAH subjected to 20 min of near‐infrared irradiation release NO, which, together with the photothermal effect, synergistically damages bacterial cell membranes to achieve very fast disinfection (97.13 ± 0.41% bactericidal rate). This multifunctional hydrogel can also significantly accelerate wound healing due to the phage‐like particles.
Coacervate‐Derived Hydrogel with Effective Water Repulsion and Robust Underwater Bioadhesion Promotes Wound Healing
Authors: Peng Xin , Li Yuan , Li Tianjie , Li Yucong , Deng Yingrui , Xie Xian , Wang Yi , Li Gang , Bian Liming 
Published: September 2022

AbstractAchieving robust underwater adhesion by bioadhesives remains a challenge due to interfacial water. Herein a coacervate‐to‐hydrogel strategy to enhance interfacial water repulsion and bulk adhesion of bioadhesives is reported. The polyethyleneimine/thioctic acid (PEI/TA) coacervate is deposited onto underwater substrates, which can effectively repel interfacial water and completely spread into substrate surface irregularities due to its liquid and water‐immiscible nature. The physical interactions between coacervate and substrate can further enhance interfacial adhesion. Furthermore, driven by the spontaneous hydrophobic aggregation of TA molecules and strong electrostatic interaction between PEI and TA, the coacervate can turn into a hydrogel in situ within minutes without additional stimuli to develop enhanced matrix cohesion and robust bulk adhesion on diverse underwater substrates. Molecular dynamics simulations further reveal atomistic details of the formation and wet adhesion of the PEI/TA coacervate via multimode physical interactions. Lastly, it is demonstrated that the PEI/TA coacervate‐derived hydrogel can effectively repel blood and therefore efficiently deliver the carried growth factors at wound sites, thereby enhancing wound healing in an animal model. The advantages of the PEI/TA coacervate‐derived hydrogel including body fluid‐immiscibility, strong underwater adhesion, adaptability to fit irregular target sites, and excellent biocompatibility make it a promising bioadhesive for diverse biomedical applications.