bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparing the effectiveness of augmented reality-based and conventional instructions during single ECMO cannulation training
Authors: Wolf Julian , Wolfer Viviane , Halbe Maximilian , Maisano Francesco , Lohmeyer Quentin , Meboldt Mirko 
Published: May 2021

AbstractPurposeEffective training of extracorporeal membrane oxygenation (ECMO) cannulation is key to fighting the persistently high mortality rate of ECMO interventions. Though augmented reality (AR) is a promising technology for improving information display, only a small percentage of AR projects have addressed training procedures. The present study investigates the potential benefits of AR-based, contextual instructions for ECMO cannulation training as compared to instructions used during conventional training at a university hospital.MethodologyAn AR step-by-step guide was developed for the Microsoft HoloLens 2 that combines text, images, and videos from the conventional training program with simple 3D models. A study was conducted with 21 medical students performing two surgical procedures on a simulator. Participants were divided into two groups, with one group using the conventional instructions for the first procedure and AR instructions for the second and the other group using instructions in reverse order. Training times, a detailed error protocol, and a standardized user experience questionnaire (UEQ) were evaluated.ResultsAR-based execution was associated with slightly higher training times and with significantly fewer errors for the more complex second procedure ($$p<0.05$$p<0.05, Mann–WhitneyU). These differences in errors were most present for knowledge-related errors, resulting in a 66% reduction in the number of errors. AR instructions also led to significantly better ratings on 5 out of the 6 scales used in the UEQ, pointing to higher perceived clarify of information, information acquisition speed, and stimulation.ConclusionThe results extend previous research on AR instructions to ECMO cannulation training, indicating its high potential to improve training outcomes as a result of better information acquisition by participants during task execution. Future work should investigate how better performance in a single training session relates to better performance in the long run.
Health Care Equity in the Use of Advanced Analytics and Artificial Intelligence Technologies in Primary Care
Authors: Clark Cheryl R. , Wilkins Consuelo Hopkins , Rodriguez Jorge A. , Preininger Anita M. , Harris Joyce , DesAutels Spencer , Karunakaram Hema , Rhee Kyu , Bates David W. , Dankwa-Mullan Irene 
Published: May 2021

AbstractThe integration of advanced analytics and artificial intelligence (AI) technologies into the practice of medicine holds much promise. Yet, the opportunity to leverage these tools carries with it an equal responsibility to ensure that principles of equity are incorporated into their implementation and use. Without such efforts, tools will potentially reflect the myriad of ways in which data, algorithmic, and analytic biases can be produced, with the potential to widen inequities by race, ethnicity, gender, and other sociodemographic factors implicated in disparate health outcomes. We propose a set of strategic assertions to examine before, during, and after adoption of these technologies in order to facilitate healthcare equity across all patient population groups. The purpose is to enable generalists to promote engagement with technology companies and co-create, promote, or support innovation and insights that can potentially inform decision-making and health care equity.
Robot Navigation Based on Predicting of Human Interaction and its Reproducible Evaluation in a Densely Crowded Environment
Authors: Kobayashi Yuichi , Sugimoto Takeshi , Tanaka Kazuhito , Shimomura Yuki , Arjonilla Garcia Francisco J. , Kim Chyon Hae , Yabushita Hidenori , Toda Takahiro 
Published: May 2021

AbstractTo achieve robot navigation in crowded environments having high densities of moving people, it is insufficient to simply consider humans as moving obstacles and avoid collisions with them. That is, the impact of an approaching robot on human movements must be considered as well. Moreover, various navigation methods have been tested in their own environments in the literature, which made them difficult to compare with one another. Thus, we propose an autonomous robot navigation method in densely crowded environments for data-based predictions of robot-human interactions, together with a reproducible experimental test under controlled conditions. Based on localized positional relationships with humans, this method extracts multiple alternative paths, which can implement either following or avoidance, and selects an optimal path based on time efficiency. Each path is selected using neural networks, and the various paths are evaluated by predicting the position after a given amount of time has elapsed. These positions are then used to calculate the time required to reach a certain target position to ensure that the optimal path can be determined. We trained the predictor using simulated data and conducted experiments using an actual mobile robot in an environment where humans were walking around. Using our proposed method, collisions were avoided more effectively than when conventional navigation methods were used, and navigation was achieved with good time efficiency, resulting in an overall reduction in interference with humans. Thus, the proposed method enables an effective navigation in a densely crowded environment, while collecting human-interaction experience for further improvement of its performance in the future.
Marble decay: towards a measure of marble degradation based on ultrasonic wave velocities and thermal expansion data
Authors: Siegesmund Siegfried , Menningen Johanna , Shushakova Victoria 
Published: May 2021

AbstractMarble as ornamental and dimensional stones as well as in their natural environments show complex weathering phenomena. Physical, chemical, and biological weathering of marble are well documented. The impact of climate change on monuments and historic buildings in terms of modeling and predicting future scenarios requires new approaches to forecast the ongoing decay in the near and far future. Ultrasonic wave velocities are a powerful and sensitive tool for the damage assessment of marble. For a maximum porosity of up to 1%, ultrasonic wave velocities (P-wave velocities) are ranging between 1 km/s and over 6 km/s. Water saturation has an important influence on the magnitude and directional dependence of ultrasonic wave velocities together with the mineralogical composition and the rock fabrics. Ongoing experimental alteration approaches were used to document the state of deterioration using Vp-systematics. In addition, thermal expansion and the residual strain values after applying thermal impacts were used to introduce a new quantitative measure based on experimental length changes and volume changes. To quantify such volume changes, a so-called decay index was proposed. Marbles are sensitive to weathering and have different volume changes under exposure depending on fabric parameters. The volume extension index of marble, based on thermal expansion measurements under dry and water-saturated conditions, is proposed as a decay index for quantifying sample stability and for defining the directions of maximum and minimal dilatation. Such decay index was implemented to different marble types and it was turned out that marbles with the larger decay indexes are more prone to weathering than with smaller ones. The effect of changing climate and, in consequence, different weathering actions can help to calculate or forecast risk numbers based on the Vp data in combination with the proposed decay index especially for marbles.
Zero-Inflated Models for Count Data: An Application to Number of Antenatal Care Service Visits
Authors: Bekalo Daniel Biftu , Kebede Dufera Tejjeba 
Published: May 2021

AbstractThe risk of maternal death in developing countries is projected to be one in 61, while for developed countries it is estimated to be one in 2800. Antenatal care is a protective obstetric health care system aimed at improving the outcome of the pregnant fetus by routine pregnancy monitoring. One of the most important functions of antenatal care is to offer health information and services that can significantly improve the health of women and their infants. 6450 pregnant women from Ethiopian Demographic and Health Survey of 2016 were used to analyze the determinants of the barriers in number of antenatal care service visits among pregnant women in Ethiopia. The data were found to have excess zeros (35%); thus several count data models such as Poisson, Negative Binomial, Zero Inflated Poisson, Zero Inflated Negative Binomial and Hurdle regression models were modeled and fitted. From the exploratory analysis the results showed that among those eligible pregnant women, it was seen that 2240 (34.7%) of them did not visit antenatal care service during their periods of pregnancy months. The visualization of data using scatter plot depicts that all of the variables selected for modeling have an influence on the event of not visiting antenatal care cervices while each of these variables had opposite slope in non-zero number of such events in their respective categories. To select the model which best fits the data, models were compared based on their Akaike information criterion value by using the simulation study. The simulation experiment revealed that models for zero-inflated data such as; Zero Inflated Poisson, Zero Inflated Negative Binomial and Hurdle were models that fitted the data better than the classical models Poisson and Negative Binomial. Each of these zero-inflated models was compared using Voung test and Hurdle model was better fitted the data which was characterized by excess zeros and high variability in the non-zero outcome than any other zero-inflated models. In this study, maternal education, partner education level, age of mothers, religion of mothers and wealth index are major predictors of antenatal care service utilization. Through simulation experiment, it was found that Zero Inflated Poisson, Zero Inflated Negative Binomial and Hurdle models were better fitted zero-inflated data than Poisson and Negative Binomial. Voung test suggests that Hurdle model was better fitted zero-inflated (ZI) data than any other zero inflated models and therefore, it was selected as the best parsimonious model.
Endometriosis and Its Myriad Presentations: Magnetic Resonance Imaging-Based Pictorial Review
Authors: Sud Seema , Buxi Tarvinder Bir Singh , Sheth Swapnil , Ghuman Samarjit Singh 
Published: May 2021

AbstractEndometriosis is a major cause of infertility and pain in females in the reproductive age group. It is a result of ectopic functional endometrial cells outside the uterus. It consists of a spectrum of findings from superficial to deep implants initiating a fibrotic response and resulting in adhesions. Diagnosis of endometriosis is based on clinical history, noninvasive and invasive techniques. The final diagnosis is based on laparoscopy with histopathological confirmation. Ultrasonography is the first line of investigation, followed by magnetic resonance imaging (MRI) in complex cases. MRI is a noninvasive, multiplanar technique that involves no radiation and provides excellent delineation of the disease process. As deep endometriosis has a similar low signal to adjacent normal organs, it can be easily overlooked by radiologists. They should be aware of the spectrum of diseases so as to provide a roadmap for the surgeons. A structured reporting system helps radiologists organize and standardize their reports.
Computed Tomography Findings in Intraabdominal Hypertension in Patients with Acute Pancreatitis
Authors: Gupta Pankaj , Kamat Rohan , Samanta Jayanta , Mandavdhare Harshal , Sharma Vishal , Sinha Saroj Kant , Dutta Usha , Kochhar Rakesh 
Published: May 2021

Abstract
Purpose Intraabdominal hypertension (IAH) in acute pancreatitis (AP) may reduce tissue perfusion and impair organ function and has been shown to portend poor prognosis. We investigated the computed tomography (CT) findings in patients with AP with IAH.
Methods This retrospective study comprised of consecutive patients with AP from June 2016 to June 2018 in whom intraabdominal pressure (IAP) was measured. The patients who underwent a contrast-enhanced CT within 7 days of IAP measurement were included. Using a cutoff of 12 mm Hg for IAP, the patients were divided into IAH and non-IAH groups. Measures of severity and clinical outcome were evaluated. CT parameters were compared between the groups.
Results The IAH group comprised of 41 patients, while there were 20 patients in the non-IAH group. The IAH group was characterized by severe disease, increased incidence of organ failure, increased requirement for drainage and surgery, prolonged hospital and intensive care unit stay. The mortality was not significantly different between the two groups. On univariate analysis, the CT features that were found to be significantly different between the two groups were the presence of collection (p = 0.036), the maximum dimension of collection (p = 0.004), volume of collection (p = 0.019), biliary dilatation (p = 0.011), and the presence of moderate-to-severe pleural effusion (p = 0.009). On multivariate analysis, all these parameters except biliary dilatation were found to be statistically significant.
Conclusion CT findings in patients with AP may suggest IAH. This can be used as an additional marker for severity of AP.
Multiparametric Magnetic Resonance Imaging in Evaluation of Clinically Significant Prostate Cancer
Authors: Ingole Sarang M. , Mehta Rajeev U. , Kazi Zubair N. , Bhuyar Rutuja V. 
Published: May 2021

Abstract
Aim In this prospective study, we evaluate the role of multiparametric magnetic resonance imaging (mp-MRI) in the assessment of clinically significant prostate cancer at 1.5 T without endorectal coil (ERC).
Materials and Methods Forty-five men with clinical suspicion of prostate cancer (prostate-specific antigen [PSA] level > 4 ng/mL, hard prostate on digital rectal examination, and suspicious area at transrectal ultrasound [TRUS]) were evaluated using the mp-MRI protocol over a period of 24 months. All cases were interpreted using the Prostate Imaging Reporting and Data System (PI-RADS) version 2 guidelines and correlated with histopathology.
Statistical Analysis Used A chi-squared test was used for analysis of nominal/categorical variables and receiver operating characteristic (ROC) curve and one-way analysis of variance (ANOVA) test for continuous variables.
Results The mean age was 67 years and the mean PSA was 38.2 ng/mL. Eighty percent had prostate cancer and 20% were benign (11% benign prostatic hyperplasia [BPH] and 9% chronic prostatitis). Eighty-six percent of all malignancies were in the peripheral zone. The PI-RADS score for T2-weighted (T2W) imaging showed good sensitivity (81%) but low specificity (67%). The PI-RADS score for diffusion weighted imaging (DWI) with sensitivity of 92% and specificity of 78% had a better accuracy overall than T2W imaging alone. The mean apparent diffusion coefficient (ADC) value (×10–6 mm2/s) was 732 ± 160 in prostate cancer, 1,009 ± 161 in chronic prostatitis, 1,142 ± 82 in BPH, and 663 in a single case of granulomatous prostatitis. Low ADC values (<936) have shown good correlation (area under curve [AUC]: 0.87) with the presence of cancer foci. Inverse correlation was observed between Gleason scores and ADC values. Dynamic contrast-enhanced (DCE) imaging has shown 100% sensitivity/negative predictive value (NPV), but moderate specificity (67%) in predicting malignancy. The final PI-RADS score had 100% sensitivity and NPV with good overall positive predictive value (PPV) of 95%.
Conclusions T2W imaging and DWI remain the mainstays in diagnosis of prostate cancer with mp-MRI. DCE-MRI can be a problem-solving tool in case of equivocal findings. Because assessment with mp-MRI can be subjective, use of the newly developed PI-RADS version 2 scoring system is helpful in accurate interpretation.
Role of Quantitative Diffusion-Weighted Imaging in Differentiating Benign and Malignant Orbital Masses
Authors: Mundhada Preeti , Rawat Sudarshan , Acharya Ullas , Raje Dhananjay 
Published: May 2021

Abstract
Aim To determine the role of diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) values in differentiating benign and malignant orbital masses.
Materials and Methods After obtaining institutional ethical board approval and informed consent from all patients, an observational study was done for a period of 24 months in the radiology department of a tertiary care hospital in South India. Conventional magnetic resonance imaging and DWI using a 3T scanner was done for all patients with suspected orbital mass lesion. ADC value and clinicohistopathological correlation were studied for every patient. Chi-square test was used to compare the signal characteristics of DWI and ADC maps between benign and malignant lesions. A comparison of mean ADC values for benign and malignant masses was performed using Student’s t-test for independent samples. The cut-off value for ADC was obtained using the receiver operating characteristic (ROC) curve.
Results Of 44 patients with orbital lesions, 70% were benign and 30% were malignant. There was a significant difference in the mean ADC values of benign and malignant orbital masses. Using ROC curve analysis, an optimal ADC threshold of 1.26 × 10−3 mm2/s was calculated for the prediction of malignancy with 100% sensitivity, 80.65% specificity, and 86.36% accuracy (95% confidence interval: 0.872, 1.00, p < 0.0001). Two ADC thresholds were used to characterize the orbital masses with more than 90% confidence.
Conclusion Quantitative assessment of ADC is a useful noninvasive diagnostic tool for differentiating benign and malignant orbital masses. Malignant orbital lesions demonstrate significantly lower ADC values as compared with benign lesions.
Nopalea cochenillifera (cochineal cactus).
Authors: Vélez-Gavilán Jeanine 
Published: May 2021

Abstract

Nopalea cochenillifera is a shrub or tree species reported as native to Mexico, but known from cultivation for centuries. It was introduced into tropical and subtropical areas after the Spanish colonisation of Mexico, to raise cochineal insects to produce red dyes commercially. Although this industry declined with the introduction of synthetic dyes, the species is still used for this purpose at a smaller scale. N. cochenillifera is now mainly used as an ornamental, a fodder/forage species and a vegetable. It is reported as a potential noxious weed due to its ease of reproducing vegetatively through plant fragments. It is reported as invasive in Hawaii (USA), Cuba, Guatemala and French Polynesia. However, no details about its impacts on other species or habitats have been recorded.
Claviceps africana (ergot).
Authors:   USA, USDA-ARS
Published: May 2021

Abstract

C. africana is the ergot pathogen of Sorghum bicolor, now found in most sorghum-producing areas of the world. It is primarily a problem for hybrid seed production, but epidemics on local varieties have occurred (Pazoutová and Frederickson, 2005). Large numbers of secondary conidia produced on infected panicles become airborne and are presumed to be the means by which the fungus has spread rapidly across continents in recent years. The fungus may also be carried in the form of sclerotia and/or sphacelia among harvested seed, and this may be the means of spread between continents, but the seed lots can be cleaned or treated with fungicides. Alternative hosts are predominantly wild and weedy Sorghum spp., but some wild grasses can become infected; any of these might provide a reservoir between planting seasons or a bridge between regions.
Haplodiplosis marginata (saddle gall midge).
Authors: Skuhravá Marcela , Skuhravý Václav 
Published: May 2021

Abstract

H. marginata is a European species, which occupies a large area from western and north-western Europe to the coast of the Black Sea. It is polyphagous, developing on various cereals (Hordeum, Secale, Triticum) and grasses, mainly Elymus repens. It is a minor pest of cereals, mainly wheat and barley in northern Europe, but a major pest of cereals in central Europe (Wetzel et al., 1984; Skuhravý et al., 1993; Darvas et al., 2000). The larvae cause saddle-shaped galls on the stems of host plants. The galls are hidden under the leaf sheaths and damage may only be discovered when the attacked stems are broken by strong wind. In fields where wheat and barley are planted in the same field without crop rotation, the population of H. marginata can increase very rapidly to an outbreak, which will result in loss of yield. The main reasons for the recent rapid growth of H. marginata populations are the intensification of plant production, planting cereal crops without rotation and the selection of highly productive cereal varieties which do not have natural resistance against the pest (Skuhravá et al., 1984; Skuhravý et al., 1993). H. marginata is native to Europe. It is not included in any alert lists.
Corchorus hirtus (Orinoco jute).
Authors: Dube Shruti 
Published: May 2021

Abstract

Genetics: Most Corchorus species are diploids with 2n = 14, while wild species like, C. cunninghamii, C. hirtus, C. junodii, and C. siliquosus are similar in chromosome structure and are tetraploids (Belay, 2011). C. hirtus has a chromosome number 2n=4x=28 (Sinha et al., 2011; Flora of North American Editorial Committee, 2016). Physiology and Phenology: C. hirtus flowers and fruits all year (Axelrod, 2011). The flowers are bright yellow and 1.5 cm wide, and open in the afternoon (Missouri Botanical Garden, 2016). Reproductive Biology: Most Corchorus species can be identified during the reproductive stage using capsule and seed morphology (Belay, 2011). Seed is the main medium of reproduction (Mascarenhas et al., 1995). Ideal germination conditions in the laboratory have been found to be 31°C, 12/12 meaning seeds were incubated at 31°C during 12 light hours (Royal Botanical Gardens Kew, 2008). Environmental Requirements: C. hirtus needs a tropical climate to grow but it is also present in some southern states of the USA including Arizona, Alabama and Florida. It is usually found in deciduous tropical forests, semi-deciduous and evergreen tropical forests. It prefers soils that are well drained and mostly calcareous (Mas and Lugo-Torres, 2013).
Reflexing Suspicious β-Region Findings on Capillary Serum Protein Electrophoresis to Immunofixation or Immunosubtraction for Detecting Monoclonal Proteins
Authors: Kitson Amanda L , Taylor Alexander S , Giacherio Donald A , Keren David F 
Published: May 2021

Abstract

Objectives
Monoclonal immunoglobulins (M-proteins) that migrate in the β region on serum protein electrophoresis (SPEP) are often cloaked by this region’s normal constituents. The present study interrogates the utility of using both quantitative and qualitative alterations in β-region bands for detection of β-migrating M-proteins.

Methods
Consecutive SPEP cases analyzed by capillary electrophoresis were searched to identify the initial workup on 1,841 patients with increased total β regions, suspicious β-region findings resulting in reflex immunofixation (IFE), or immunosubtraction (ISUB). To augment quantitative information, separate β1 and β2 measurements were established and retrospectively used to evaluate their sensitivity for M-protein detection.

Results
We identified M-proteins in 205 (11.1%) cases, including immunoglobulin A (IgA) (54%), IgG (24%), IgM (13%), and free light chain (9%) isotypes. Of the 15 cases flagged by separate β1 and β2 measurements that were not identified by total β-region measurement, 1 progressed to myeloma. Of the 56 β-migrating M-proteins identified by qualitative features but without increase in any of the β-region measurements, 1 progressed to myeloma.

Conclusions
A combination of separate measurements for β1 and β2 regions together with detection of β-region distortions increase sensitivity for identifying β-migrating M-proteins via reflex IFE or ISUB.