bluuebunny/crossref_metadata_2025_split huggingface dataset:
In Situ Mechanical Loading and Neutron Bragg-edge Imaging, Applied to Polygranular Graphite On IMAT@ISIS
Authors: Zillhardt T. A. C. , Burca G. , Liu D. , Marrow T. J. 
Published: August 2021

AbstractBackgroundBragg edge imaging have seen significant developments in the last decade with the availability of new time-resolved detectors, however, there have been no studies of changes in local coherent scattering from grain reorientation and deformation with load. Such damage accommodation mechanism may occur in (quasi)-brittle materials.ObjectiveWe developed a novel method usingin-situBragg imaging at the ISIS spallation neutron and muon source on the IMAT (Imaging and MATerials science and engineering) instrument using an energy-resolved detector setup. We collected and analysed data of a proof-of-concept experiment demonstrating the use of the method.MethodsWe have developed a loading apparatus that addresses the constraints posed by Bragg imaging, allowing us to resolve features in the material microstructure. We use energy-resolved neutron imaging to obtain images in energy bins and we have developed a set of codes to register and correlate these images, as well as detect changes in local coherent scattering,in situ.ResultsPreliminary results from this method on Gilsocarbon nuclear graphite allow qualitative observation of local changes in Bragg contrast, which may be due to deformation or grain reorientation.ConclusionsWe have demonstrated that we can track changes in local coherent scattering under mechanical load, with sufficient resolution to track features with a size above 100 microns. This method, apparatus and accompanying codes may be used on the IMAT instruments by users interested to better understand deformation in their materials.
Validation and Psychometric Evaluation of the Italian Version of the Bergen–Yale Sex Addiction Scale
Authors: Soraci Paolo , Melchiori Francesco M. , Del Fante Elena , Melchiori Roberto , Guaitoli Eleonora , Lagattolla Fulvia , Parente Grazia , Bonanno Enrico , Norbiato Laura , Cimaglia Roberta , Campedelli Lorenzo , Abbiati Francesco Antonio , Ferrari Ambra , Griffiths Mark D. 
Published: August 2021

AbstractExcessive problematic sexual behavior in the form of compulsive sexual behavior disorder (CSBD), hypersexuality (HS), and sex addiction has gained increasing credibility in recent years and has led to the development of various psychometric instruments to assess such behavior. However, there is still considerable controversy over the operational definition of such concepts and whether they can be used interchangeably to describe the behavior. One recently developed tool is the Bergen–Yale Sex Addiction Scale (BYSAS) based on the “components model of addiction.” The present study validated the Italian version of the BYSAS. The BYSAS was administered to a large Italian-speaking sample of Italian adults [N = 1230, aged 18 to 67 years] along with psychometric instruments assessing the “Big Five” personality traits, self-esteem, depression, and two other measures of addictive sexual behavior (i.e., PATHOS and Shorter PROMIS Questionnaire–Sex Subscale). Confirmatory factorial analysis supported a one-factor solution. Furthermore, the scale had good internal consistency (Cronbach’s α = 0.787). The BYSAS was positively associated with extroversion, openness to experience, depression, and problematic sexual behavior, and negatively associated with self-esteem, conscientiousness, emotional stability, agreeableness, and age. Based on the findings, the BYSAS is a brief, psychometrically reliable and valid measure for assessing sex addiction among Italian adults.
Quantitative CT texture analysis in predicting PD-L1 expression in locally advanced or metastatic NSCLC patients
Authors: Bracci Stefano , Dolciami Miriam , Trobiani Claudio , Izzo Antonella , Pernazza Angelina , D’Amati Giulia , Manganaro Lucia , Ricci Paolo 
Published: August 2021

Abstract
Purpose
The assessment of Programmed death-ligand 1 (PD-L1) expression has become a game changer in the treatment of patients with advanced non-small cell lung cancer (NSCLC). We aimed to investigate the ability of Radiomics applied to computed tomography (CT) in predicting PD-L1 expression in patients with advanced NSCLC.

Methods
By applying texture analysis, we retrospectively analyzed 72 patients with advanced NSCLC. The datasets were randomly split into a training cohort (2/3) and a validation cohort (1/3). Forty radiomic features were extracted by manually drawing tumor volumes of interest (VOIs) on baseline contrast-enhanced CT. After selecting features on the training cohort, two predictive models were created using binary logistic regression, one for PD-L1 values ≥ 50% and the other for values between 1 and 49%. The two models were analyzed with ROC curves and tested in the validation cohort.

Results
The Radiomic Score (Rad-Score) for PD-L1 values ≥ 50%, which consisted of Skewness and Low Gray-Level Zone Emphasis (GLZLM_LGZE), presented a cut-off value of − 0.745 with an area under the curve (AUC) of 0.811 and 0.789 in the training and validation cohort, respectively. The Rad-Score for PD-L1 values between 1 and 49% consisted of Sphericity, Skewness, Conv_Q3 and Gray Level Non-Uniformity (GLZLM_GLNU), showing a cut-off value of 0.111 with AUC of 0.763 and 0.806 in the two population, respectively.

Conclusion
Rad-Scores obtained from CT texture analysis could be useful for predicting PD-L1 expression and guiding the therapeutic choice in patients with advanced NSCLC.
Gene editing in Brassica napus for basic research and trait development
Authors: Gocal Greg F. W. 
Published: August 2021

AbstractThe genome of Brassica napus L. is the result of several polyploidization events that occurred during the history of B. napus. Due to its relatively short domestication history, diversity is relatively limited. An increasing number of loci in this crop’s genome have been gene-edited using various technologies and reagent delivery methods for basic research as well as for trait development. New alleles have been developed as edits in single, 2, 4, or more homologous loci in this important oilseed crop. This comprehensive review will summarize new alleles that have been developed as they relate to weed control, flowering, self-incompatibility, plant hormone biology, disease resistance, grain composition, and pod shatter reduction. These new alleles have significantly augmented our understanding of both plant growth and development for basic research as well as for their potential commercial impacts.
The Moral Consideration of Artificial Entities: A Literature Review
Authors: Harris Jamie , Anthis Jacy Reese 
Published: August 2021

AbstractEthicists, policy-makers, and the general public have questioned whether artificial entities such as robots warrant rights or other forms of moral consideration. There is little synthesis of the research on this topic so far. We identify 294 relevant research or discussion items in our literature review of this topic. There is widespread agreement among scholars that some artificial entities could warrant moral consideration in the future, if not also the present. The reasoning varies, such as concern for the effects on artificial entities and concern for the effects on human society. Beyond the conventional consequentialist, deontological, and virtue ethicist ethical frameworks, some scholars encourage “information ethics” and “social-relational” approaches, though there are opportunities for more in-depth ethical research on the nuances of moral consideration of artificial entities. There is limited relevant empirical data collection, primarily in a few psychological studies on current moral and social attitudes of humans towards robots and other artificial entities. This suggests an important gap for psychological, sociological, economic, and organizational research on how artificial entities will be integrated into society and the factors that will determine how the interests of artificial entities are considered.
In-depth characterization of a new patient-derived xenograft model for metaplastic breast carcinoma to identify viable biologic targets and patterns of matrix evolution within rare tumor types
Authors: Matossian M. D. , Chang T. , Wright M. K. , Burks H. E. , Elliott S. , Sabol R. A. , Wathieu H. , Windsor G. O. , Alzoubi M. S. , King C. T. , Bursavich J. B. , Ham A. M. , Savoie J. J. , Nguyen K. , Baddoo M. , Flemington E. , Sirenko O. , Cromwell E. F. , Hebert K. L. , Lau F. , Izadpanah R. , Brown H. , Sinha S. , Zabaleta J. , Riker A. I. , Moroz K. , Miele L. , Zea A. H. , Ochoa A. , Bunnell B. A. , Collins-Burow B. M. , Martin E. C. , Burow M. E. 
Published: August 2021

AbstractMetaplastic breast carcinoma (MBC) is a rare breast cancer subtype with rapid growth, high rates of metastasis, recurrence and drug resistance, and diverse molecular and histological heterogeneity. Patient-derived xenografts (PDXs) provide a translational tool and physiologically relevant system to evaluate tumor biology of rare subtypes. Here, we provide an in-depth comprehensive characterization of a new PDX model for MBC, TU-BcX-4IC. TU-BcX-4IC is a clinically aggressive tumor exhibiting rapid growth in vivo, spontaneous metastases, and elevated levels of cell-free DNA and circulating tumor cell DNA. Relative chemosensitivity of primary cells derived from TU-BcX-4IC was performed using the National Cancer Institute (NCI) oncology drug set, crystal violet staining, and cytotoxic live/dead immunofluorescence stains in adherent and organoid culture conditions. We employed novel spheroid/organoid incubation methods (Pu·MA system) to demonstrate that TU-BcX-4IC is resistant to paclitaxel. An innovative physiologically relevant system using human adipose tissue was used to evaluate presence of cancer stem cell-like populations ex vivo. Tissue decellularization, cryogenic-scanning electron microscopy imaging and rheometry revealed consistent matrix architecture and stiffness were consistent despite serial transplantation. Matrix-associated gene pathways were essentially unchanged with serial passages, as determined by qPCR and RNA sequencing, suggesting utility of decellularized PDXs for in vitro screens. We determined type V collagen to be present throughout all serial passage of TU-BcX-4IC tumor, suggesting it is required for tumor maintenance and is a potential viable target for MBC. In this study we introduce an innovative and translational model system to study cell–matrix interactions in rare cancer types using higher passage PDX tissue.
Addressing ethical and laboratory challenges for initiation of a rapid whole genome sequencing program
Authors: Malone Jenkins Sabrina , Palmquist Rachel , Kapron Ashley L. , Torr Carrie , Best D. Hunter , Karren Mary Anne , Brunelli Luca , Yandell Mark , Tristani-Firouzi Martin , Dimmock David , Watts Brian , Botkin Jeffrey R. , Johnson Ann , Bonkowsky Joshua L. 
Published: August 2021

Abstract
Rapid whole genome sequencing (rapid WGS) is a powerful diagnostic tool that is becoming increasingly practical for widespread clinical use. However, protocols for its use are challenging to implement. A significant obstacle to clinical adoption is that laboratory certification requires an initial research development phase, which is constrained by regulations from returning results. Regulations preventing return of results have ethical implications in cases which might impact patient outcomes. Here, we describe our experience with the development of a rapid WGS research protocol, that balanced the requirements for laboratory-validated test development with the ethical needs of clinically relevant return of results.
Awareness of COVID-19 among Illiterate Population in Pakistan: A Cross-Sectional Analysis
Authors: Salman Muhammad , Mustafa Zia Ul , Asif Noman , Shehzadi Naureen , Hussain Khalid , Khan Tahir Mehmood , Mallhi Tauqeer Hussain , Khan Yusra Habib , Butt Muhammad Hammad , Farrukh Muhammad Junaid , Saleem Fahad 
Published: August 2021

Abstract

Background
COVID-19 outbreak has been accompanied by a massive infodemic, however, many vulnerable individuals such as illiterate or low-literate, older adults and rural populations have limited access to health information. In this context, these individuals are more likely to have poor knowledge, attitudes, and preventive practices related to COVID-19. The current study was aimed to investigate COVID-19’s awareness of the illiterate population of Pakistan.

Methods
A cross-sectional survey was conducted among illiterate Pakistanis of ages ≥ 18 years through a convenient sampling approach. The study participants were interviewed face to face by respecting the defined precautionary measures and all data were entered and analyzed using SPSS version 22 (IBM, Armonk, NY).

Results
The mean age of the study participants’ (N = 394) was 37.2 ± 9.60 years, with the majority being males (80.7%). All participants were aware of the COVID-19 outbreak and television news channels (75.1%) were the primary source of information. The mean knowledge score was 5.33 ± 1.88, and about 27% of participants had a good knowledge score (score ≥ 7) followed by moderate (score 4 - 6) and poor (score ≤ 3) knowledge in 41.6%, and 31.5% of respondents, respectively. The attitude score was 4.42 ± 1.22 with good (score ≥ 6), average (score 4 - 5), and poor attitude (score ≤ 3) in 19%, 66%, and 15% of the participants, respectively. The average practice-related score was 12.80 ± 3.34, with the majority of participants having inadequate practices.

Conclusion
COVID-19 knowledge, attitude, and preventive practices of the illiterate population in Pakistan are unsatisfactory. This study highlights the gaps in specific aspects of knowledge and practice that should be addressed through awareness campaigns targeting this specific population.
Impact of coronavirus disease 2019 (COVID-19) pre-test probability on positive predictive value of high cycle threshold severe acute respiratory coronavirus virus 2 (SARS-CoV-2) real-time reverse transcription polymerase chain reaction (RT-PCR) test results
Authors: Gubbay Jonathan B. , Rilkoff Heather , Kristjanson Heather L. , Forbes Jessica D. , Murti Michelle , Eshaghi AliReza , Broukhanski George , Corbeil Antoine , Fittipaldi Nahuel , Hopkins Jessica P. , Kristjanson Erik , Kus Julianne V. , Macdonald Liane , Majury Anna , Mallo Gustavo V , Mazzulli Tony , Melano Roberto G. , Olsha Romy , Perusini Stephen J. , Tran Vanessa , Allen Vanessa G. , Patel Samir N. 
Published: August 2021

AbstractObjectives:Performance characteristics of SARS-CoV-2 nucleic acid detection assays are understudied within contexts of low pre-test probability, including screening asymptomatic persons without epidemiological links to confirmed cases, or asymptomatic surveillance testing. SARS-CoV-2 detection without symptoms may represent presymptomatic or asymptomatic infection, resolved infection with persistent RNA shedding, or a false-positive test. This study assessed the positive predictive value of SARS-CoV-2 real-time reverse transcription polymerase chain reaction (rRT-PCR) assays by retesting positive specimens from 5 pre-test probability groups ranging from high to low with an alternate assay.Methods:In total, 122 rRT-PCR positive specimens collected from unique patients between March and July 2020 were retested using a laboratory-developed nested RT-PCR assay targeting the RNA-dependent RNA polymerase (RdRp) gene followed by Sanger sequencing.Results:Significantly fewer (15.6%) positive results in the lowest pre-test probability group (facilities with institution-wide screening having ≤3 positive asymptomatic cases) were reproduced with the nested RdRp gene RT-PCR assay than in each of the 4 groups with higher pre-test probability (individual group range, 50.0%–85.0%).Conclusions:Large-scale SARS-CoV-2 screening testing initiatives among low pre-test probability populations should be evaluated thoroughly prior to implementation given the risk of false-positive results and consequent potential for harm at the individual and population level.
Large-scale asymmetry in galaxy spin directions: evidence from the Southern hemisphere
Authors: Shamir Lior 
Published: August 2021

AbstractRecent observations using several different telescopes and sky surveys showed patterns of asymmetry in the distribution of galaxies by their spin directions as observed from Earth. These studies were done with data imaged from the Northern hemisphere, showing excellent agreement between different telescopes and different analysis methods. Here, data from the DESI Legacy Survey was used. The initial dataset contains$\sim\!2.2\times 10^7$galaxy images, reduced to$\sim\!8.1\times 10^5$galaxies annotated by their spin direction using a symmetric algorithm. That makes it not just the first analysis of its kind in which the majority of the galaxies are in the Southern hemisphere, but also by far the largest dataset used for this purpose to date. The results show strong agreement between opposite parts of the sky, such that the asymmetry in one part of the sky is similar to the inverse asymmetry in the corresponding part of the sky in the opposite hemisphere. Fitting the distribution of galaxy spin directions to cosine dependence shows a dipole axis with probability of 4.66$\sigma$. Interestingly, the location of the most likely axis is within close proximity to the CMB Cold Spot. The profile of the distribution is nearly identical to the asymmetry profile of the distribution identified in Pan-STARRS, and it is within 1$\sigma$difference from the distribution profile in SDSS and HST. All four telescopes show similar large-scale profile of asymmetry.
Twitter as research data
Authors: Chen Kaiping , Duan Zening , Yang Sijia 
Published: August 2021

AbstractScholars increasingly use Twitter data to study the life sciences and politics. However, Twitter data collection tools often pose challenges for scholars who are unfamiliar with their operation. Equally important, although many tools indicate that they offer representative samples of the full Twitter archive, little is known about whether the samples are indeed representative of the targeted population of tweets. This article evaluates such tools in terms of costs, training, and data quality as a means to introduce Twitter data as a research tool. Further, using an analysis of COVID-19 and moral foundations theory as an example, we compared the distributions of moral discussions from two commonly used tools for accessing Twitter data (Twitter’s standard APIs and third-party access) to the ground truth, the Twitter full archive. Our results highlight the importance of assessing the comparability of data sources to improve confidence in findings based on Twitter data. We also review the major new features of Twitter’s API version 2.
FEA-based tracking control of flexible body switching dynamic structure
Authors: Homaeinezhad M. R. , FotoohiNia F. 
Published: August 2021

AbstractIn dynamically switched systems with unknown switching signal, the control system is conventionally designed based on the worst switching scenario to ensure system stability. Such conservative design demands excessive control effort in less critical switching configurations. In the case of continuum mechanics systems, such excessive control inputs result in increased structural deformations and resultant modeling uncertainties. These deformations alter differential equations of motion which cripple the task of control. In this paper, a new approach for tracking control of uncertain continuum mechanics multivariable systems undergoing switching dynamics and unknown time delay has been proposed. Control algorithm is constructed based on the mathematical rigid model of the plant and a Common Lyapunov Function (CLF) is proposed upon sliding hyperplane regarding all switching configurations. Considering the model-based nature of sliding mode control (SMC) and inevitable uncertainties induced from modeling simplifications of continuum system or parameter evaluation errors, Finite Element Analysis (FEA) is utilized to approximate total model uncertainties. To obtain robust stability, instead of conventional switching functions in the construction of control law, the control inputs are selected such that system dynamics reside within stability bounds which are calculated based on the Lyapunov asymptotic stability criterion. Therefore, the unwanted chattering issue caused by continuous switching is not observed in control input signals. Eventually, the accuracy of the proposed method has been verified through the student version of ANSYS® mechanical APDL-based simulations and its effectiveness has been demonstrated in multiple operating conditions.
Soil Fertility on an Agricultural Frontier: The US Great Plains, 1880–2000
Authors: Cunfer Geoff 
Published: August 2021

AbstractIn contrast to most long-settled agricultural landscapes, the US Great Plains presents a rare example of well-documented agricultural colonization of new land. The Census of Agriculture provides detailed information about evolving grassland farm systems from the beginning of agricultural expansion and then at some two dozen time points between 1880 and the present. From early sod-busting, through drought and depression, and into late-twentieth-century modernization, it is possible to track how farmers used their land in any county. Treating farmland as an agroecosystem, a hybrid human-natural landscape, this article asks how farmers captured, altered, and replenished soil fertility. Did they extract more soil nitrogen than they returned, or did they maintain a balance? The article assesses land use from a soil nutrients perspective in several plains environments to capture variation in climate (especially rainfall), native soil quality, and availability of irrigation water. It traces farm management strategies through time to understand agricultural crises, growth periods, and technological transitions in the context of soil fertility. Soil management on an agricultural frontier was markedly different from that in places that had been farmed for centuries. A shortage of people and livestock and an abundance of deep, rich soils in the plains informed farmers’ calculations as they juggled labor, capital, and market forces against family and financial strategies. Uniform methods of estimating and representing soil nutrient processes make possible a direct comparison of the relative sustainability of historical agroecosystems.
Repeatability and comparability of the Galilei-G4 and Cassini in measuring corneal power and astigmatism in normal and post-refractive surgery eyes
Authors: Mohamed Mohamed , Khan Mahmood , Kanakamedala Amritha , Gupta Isha , Wang Li , Koch Douglas , Al-Mohtaseb Zaina 
Published: August 2021

AbstractTo assess the repeatability and comparability of the Galilei G4 versus the Cassini topographer in post-refractive eyes and in normal eyes, including older patients representative of an initial cataract evaluation. Simulated keratometric (simK), total corneal and posterior corneal power and astigmatism were evaluated in both post-refractive and normal eyes. Repeatability was measured by calculating within-subject standard deviation (Sw), coefficient of variation (CoV), and intraclass correlation coefficient (ICC). Vector analyses and Bland–Altman plots were employed to assess agreement between devices. We studied 32 subjects with a history of refractive surgery and 32 subjects without a history of refractive surgery undergoing cataract surgery. The mean age was 55 ± 18.5 years and the age range was 21.5–91.5 years. In non-refractive and post-refractive eyes, the ICC was > 0.9 (P < 0.001) for all corneal powers and for simK and total corneal astigmatism for both analyzers. The ICC for posterior corneal astigmatism magnitude using the Galilei was 0.62 and 0.67 and for the Cassini 0.55 and 0.38 in normal and post-refractive eyes, respectively. In both post-refractive and normal eyes, the Galilei G4 and Cassini analyzers have high repeatability in simK, total, and posterior corneal power and low repeatability for posterior corneal astigmatism.