bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accuracy and precision of non-invasive continuous haemoglobin concentration monitoring in diabetic patients
Authors: De Rosa Rosanna Carmela , Romanelli Antonio 
Published: January 2022

Abstract
Background
Accuracy and precision of non-invasive continuous haemoglobin concentration (SpHb) provided by Masimo device in diabetic patients is poorly studied. This retrospective analysis aimed to provide data on SpHb accuracy and precision in diabetic patients.

Results
The sample size population consisted of 14 patients, with 56 SpHb/Lab data pairs. Lab value showed a mean ± standard deviation (SD) of 13.2 ± 1.2 g/dL, whilst SpHb showed a mean ± SD of 11.8 ± 1.1 g/dL. Linear regression analysis between Lab/SpHb data pairs showed a r of 0.8960 (CI95% 0.8281-0.9379, p value < 0.0001). SpHb underestimated the real Hb values provided by Lab. Bland-Altman analysis showed that SpHb accuracy was −1.37 g/dL (CI95% −1.51 to −1.22 g/dL, p value < 0.0001), precision of 0.55 g/dL, lower LOA −2.45 g/dL (CI95% −2.71 to −2.20 g/dL) and upper LOA −0.28 g/dL (CI95% −0.53 to −0.02 g/dL).

Conclusions
For the first time, we provided data on SpHb accuracy and precision in the diabetic population. SpHb showed a high correlation coefficient when compared with Lab values, but the wide LOA limits its accuracy.
Impact of introducing capacity-based mental health legislation on the use of community treatment orders in Norway: case registry study
Authors: Høyer Georg , Nyttingnes Olav , Rugkåsa Jorun , Sharashova Ekaterina , Simonsen Tone Breines , Høye Anne , Riley Henriette 
Published: January 2022

Background
In 2017, a capacity-based criterion was added to the Norwegian Mental Health Act, stating that those with capacity to consent to treatment cannot be subjected to involuntary care unless there is risk to themselves or others. This was expected to reduce incidence and prevalence rates, and the duration of episodes of involuntary care, in particular regarding community treatment orders (CTOs).

Aims
The aim was to investigate whether the capacity-based criterion had the expected impact on the use of CTOs.

Method
This retrospective case register study included two catchment areas serving 16% of the Norwegian population (aged ≥18). In total, 760 patients subject to 921 CTOs between 1 January 2015 and 31 December 2019 were included to compare the use of CTOs 2 years before and 2 years after the legal reform.

Results
CTO incidence rates and duration did not change after the reform, whereas prevalence rates were significantly reduced. This was explained by a sharp increase in termination of CTOs in the year of the reform, after which it reduced and settled on a slightly higher leven than before the reform. We found an unexpected significant increase in the use of involuntary treatment orders for patients on CTOs after the reform.

Conclusions
The expected impact on CTO use of introducing a capacity-based criterion in the Norwegian Mental Health Act was not confirmed by our study. Given the existing challenges related to defining and assessing decision-making capacity, studies examining the validity of capacity assessments and their impact on the use of coercion in clinical practice are urgently needed.
Randomized Phase III Trial of Paclitaxel and Carboplatin Versus Paclitaxel and Ifosfamide in Patients With Carcinosarcoma of the Uterus or Ovary: An NRG Oncology Trial
Authors: Powell Matthew A. , Filiaci Virginia L. , Hensley Martee L. , Huang Helen Q. , Moore Kathleen N. , Tewari Krishnansu S. , Copeland Larry J. , Secord Angeles A. , Mutch David G. , Santin Alessandro , Warshal David P. , Spirtos Nick M. , DiSilvestro Paul A. , Ioffe Olga B. , Miller David S. 
Published: January 2022

PURPOSE This phase III randomized trial ( NCT00954174 ) tested the null hypothesis that paclitaxel and carboplatin (PC) is inferior to paclitaxel and ifosfamide (PI) for treating uterine carcinosarcoma (UCS). PATIENTS AND METHODS Adults with chemotherapy-naïve UCS or ovarian carcinosarcoma (OCS) were randomly assigned to PC or PI with 3-week cycles for 6-10 cycles. With 264 events in patients with UCS, the power for an overall survival (OS) hybrid noninferiority design was 80% for a null hazard ratio (HR) of 1.2 against a 13% greater death rate on PI with a type I error of 5% for a one-tailed test. RESULTS The study enrolled 536 patients with UCS and 101 patients with OCS, with 449 and 90 eligible, respectively. Primary analysis was on patients with UCS, distributed as follows: 40% stage I, 6% stage II, 31% stage III, 15% stage IV, and 8% recurrent. Among eligible patients with UCS, PC was assigned to 228 and PI to 221. PC was not inferior to PI. The median OS was 37 versus 29 months (HR = 0.87; 90% CI, 0.70 to 1.075; P < .01 for noninferiority, P > .1 for superiority). The median progression-free survival was 16 versus 12 months (HR = 0.73; P = < 0.01 for noninferiority, P < .01 for superiority). Toxicities were similar, except that more patients in the PC arm had hematologic toxicity and more patients in the PI arm had confusion and genitourinary hemorrhage. Among 90 eligible patients with OCS, those in the PC arm had longer OS (30 v 25 months) and progression-free survival (15 v 10 months) than those in the PI arm, but with limited precision, these differences were not statistically significant. CONCLUSION PC was not inferior to the active regimen PI and should be standard treatment for UCS.
Association of State Medicaid Income Eligibility Limits and Long-Term Survival After Cancer Diagnosis in the United States
Authors: Zhao Jingxuan , Han Xuesong , Nogueira Leticia , Hyun Noorie , Jemal Ahmedin , Yabroff K. Robin 
Published: January 2022

PURPOSE: To examine the association between historic state Medicaid income eligibility limits and long-term survival among patients with cancer. METHODS: 1,449,144 adults age 18-64 years newly diagnosed with 19 common cancers between 2010 and 2013 were identified from the National Cancer Database. States' Medicaid income eligibility limits were categorized as ≤ 50%, 51%-137%, and ≥ 138% of federal poverty level (FPL). Survival time was measured from diagnosis date through December 31, 2017, for up to an 8-year follow-up. Multivariable Cox proportional hazards models with age as time scale were used to assess associations of eligibility limits and stage-specific survival, adjusting for the effects of sex, metropolitan statistical area, comorbidities, year of diagnosis, facility type and volume, and state. RESULTS: Among patients with newly diagnosed cancer age 18-64 years, patients living in states with lower Medicaid income eligibility limits had worse survival for most cancers in both early and late stages, compared with those living in states with Medicaid income eligibility limits ≥ 138% FPL. A dose-response relationship was observed for most cancers with lower income limits associated with worse survival (13 of 17 cancers evaluated for early-stage cancers, and 11 of 17 cancers evaluated for late-stage cancers, and leukemia and brain tumors with P-trend < .05). CONCLUSION: Lower Medicaid income eligibility limits were associated with worse long-term survival within stage; increasing Medicaid income eligibility may improve survival after cancer diagnosis.
Improved gravity model for identifying the influential nodes
Authors: Chen Y. , Guo Q. , Liu M. , Liu J. G. 
Published: January 2022

Abstract
Identifying the influential nodes in a network is essential for network dynamic analysis. In this letter, inspired by the gravity model, we present an improved gravity model (EDGM) to identify the influential nodes in the network through the effective distance. Firstly, we calculate the degree of nodes. Then we construct the effective distance combined with the interaction frequency between nodes, so as to establish the effective distance gravity model. Comparing with the susceptible-infected model, the results show that Kendall's τ correlation coefficient of the EDGM could be enhanced by 2.36% for the gravity model. Compared with other methods, Kendall's τ correlation coefficient of the EDGM could be enhanced by 11.55%, 17.29%, 7.17% and 10.00% for the degree centrality, betweenness centrality, eigenvector centrality, and PageRank, respectively. The results show that the improved gravity model could effectively identify the influential nodes in the network.
“Les Sçioux n’étoient bons qu’à manger”: La Colle and the Anishinaabeg-Dakota War, 1730–1742
Authors: Berthelette Scott 
Published: January 2022

AbstractLa Colle was an influential Anishinaabe ogimaa (leader) and mayosewinini (war chief) who led the Monsoni (moose) doodem (clan) in the Rainy Lake region during the 1730s and 1740s. A biographical study of La Colle not only restores an individual Indigenous voice to the tapestry of Native North America but also provides insight into a conflict between the Anishinaabeg, Nêhiyawak (Crees), Nakoda (Assiniboines), and Očhéthi Šakówiŋ (Dakota, Yankton, Yanktonai, and Lakota) that took place in the borderlands between Lake Superior and the Upper Missouri Valley. Ultimately, the conflict saw the beginning of a considerable reorientation of Indigenous geopolitics west of Lake Superior, which were, in part, driven by the actions of a cunning political and military leader—La Colle. By uniting Anishinaabeg, Nêhiyawak, and Nakoda into a coalition powerful enough to challenge the Očhéthi Šakówiŋ, La Colle made one of the most significant bids for power in eighteenth-century North America, one that eventually reconfigured the political, demographic, and environmental landscapes of the Northwest.
Bannock Diplomacy: How Métis Women Fought Battles and Made Peace in North Dakota, 1850s–1870s
Authors: Pigeon Émilie , Podruchny Carolyn 
Published: January 2022

AbstractMétis women have been neglected in scholarship because they are hard to find in historical records. Seeking out little-used sources and amplifying their voices in them demonstrate that they were significant figures in maintaining peace within their communities on the northern Great Plains in the mid- to late nineteenth century. Through their actions in battles and diplomatic negotiations, they showed themselves to be particularly skilled in conflict resolution. This article highlights two key instances in which Métis women used both courage and judiciousness to support their communities. The first is the 1851 Battle of Grand Coteau between the Yanktonais Sioux and a Métis and Anishinaabe bison-hunting party. The second is a Métis trading family negotiating with Lakota in the late 1870s through the actions of Sarah Nolin. In this article, we survey key historical moments in Métis women’s lives and experiences in the geography now known as North Dakota, exemplifying their approaches to diplomacy, conflict resolution, and political affirmation.
Pedro de Alvarado, Tonatiuh: Reconsidering Apotheosis in Nahua and Highland Maya Narratives of the Spanish Invasion
Authors: Chinchilla Mazariegos Oswaldo 
Published: January 2022

Abstract
Recent scholarship on the Spanish invasion of the New World has brought under scrutiny the historiographic theme of apotheosis—the notion that Indigenous peoples regarded the invaders as gods or godlike beings and that such beliefs influenced their responses. This article examines the question by focusing on Pedro de Alvarado, a leading member of Hernán Cortés’s contingent, who was known as Tonatiuh—a Nahuatl word that designated the sun, the day, and the sun god. Indigenous peoples in Mexico and Guatemala used the name during the invasion, and Nahua, K’iche’, and Kaqchikel authors employed it frequently in later writings that variously hinted at, endorsed, or questioned Alvarado’s associations with the sun god. Rather than an imposition resulting from Spanish teachings, the association of Alvarado with the sun god derived from Mesoamerican beliefs about the rise and fall of successive eras, which provided Indigenous paradigms to explain the Spanish invasion.
An Interview with Elmer Beard: Remembrances of Black Activism, Communal Solidarity, and the Burning of Roanoke Baptist Church in Hot Springs, Arkansas
Authors: Johnson Jajuan 
Published: January 2022

Context
The oral history interview with Mr. Elmer Beard, a longtime political activist, politician, and educator, is part of a series of interviews for a study on Black church burnings, arsons, and vandalism from 2008 to 2016. Mr. Beard gives historical context to recent Black church arson with a focus on the mysterious burning of Roanoke Baptist Church in Hot Springs, Arkansas, on 22 December 1963. On 9 March 2018, the interview took place in Hot Springs at the current church site. The dialogue starts with biographical questions and evolves into details about Mr. Beard’s experience growing up in a racially segregated society, particularly in south-central Arkansas.
INO80 requires a polycomb subunit to regulate the establishment of poised chromatin in murine spermatocytes
Authors: Chakraborty Prabuddha , Magnuson Terry 
Published: January 2022

ABSTRACT
INO80 is the catalytic subunit of the INO80-chromatin remodeling complex that is involved in DNA replication, repair and transcription regulation. Ino80 deficiency in murine spermatocytes (Ino80cKO) results in pachytene arrest of spermatocytes due to incomplete synapsis and aberrant DNA double-strand break repair, which leads to apoptosis. RNA-seq on Ino80cKO spermatocytes revealed major changes in transcription, indicating that an aberrant transcription program arises upon INO80 depletion. In Ino80WT spermatocytes, genome-wide analysis showed that INO80-binding sites were mostly promoter proximal and necessary for the regulation of spermatogenic gene expression, primarily of premeiotic and meiotic genes. Furthermore, most of the genes poised for activity, as well as those genes that are active, shared INO80 binding. In Ino80cKO spermatocytes, most poised genes demonstrated de-repression due to reduced H3K27me3 enrichment and, in turn, showed increased expression levels. INO80 interacts with the core PRC2 complex member SUZ12 and promotes its recruitment. Furthermore, INO80 mediates H2A.Z incorporation at the poised promoters, which was reduced in Ino80cKO spermatocytes. Taken together, INO80 is emerging as a major regulator of the meiotic transcription program by mediating poised chromatin establishment through SUZ12 binding.
Hyaline cartilage differentiation of fibroblasts in regeneration and regenerative medicine
Authors: Yu Ling , Lin Yu-Lieh , Yan Mingquan , Li Tao , Wu Emily Y. , Zimmel Katherine , Qureshi Osama , Falck Alyssa , Sherman Kirby M. , Huggins Shannon S. , Hurtado Daniel Osorio , Suva Larry J. , Gaddy Dana , Cai James , Brunauer Regina , Dawson Lindsay A. , Muneoka Ken 
Published: January 2022

ABSTRACT
Amputation injuries in mammals are typically non-regenerative; however, joint regeneration is stimulated by BMP9 treatment, indicating the presence of latent articular chondrocyte progenitor cells. BMP9 induces a battery of chondrogenic genes in vivo, and a similar response is observed in cultures of amputation wound cells. Extended cultures of BMP9-treated cells results in differentiation of hyaline cartilage, and single cell RNAseq analysis identified wound fibroblasts as BMP9 responsive. This culture model was used to identify a BMP9-responsive adult fibroblast cell line and a culture strategy was developed to engineer hyaline cartilage for engraftment into an acutely damaged joint. Transplanted hyaline cartilage survived engraftment and maintained a hyaline cartilage phenotype, but did not form mature articular cartilage. In addition, individual hypertrophic chondrocytes were identified in some samples, indicating that the acute joint injury site can promote osteogenic progression of engrafted hyaline cartilage. The findings identify fibroblasts as a cell source for engineering articular cartilage and establish a novel experimental strategy that bridges the gap between regeneration biology and regenerative medicine.
Organization and dynamics of the cortical complexes controlling insulin secretion in β-cells
Authors: Noordstra Ivar , van den Berg Cyntha M. , Boot Fransje W. J. , Katrukha Eugene A. , Yu Ka Lou , Tas Roderick P. , Portegies Sybren , Viergever Bastiaan J. , de Graaff Esther , Hoogenraad Casper C. , de Koning Eelco J. P. , Carlotti Françoise , Kapitein Lukas C. , Akhmanova Anna 
Published: January 2022

ABSTRACT
Insulin secretion in pancreatic β-cells is regulated by cortical complexes that are enriched at the sites of adhesion to extracellular matrix facing the vasculature. Many components of these complexes, including bassoon, RIM, ELKS and liprins, are shared with neuronal synapses. Here, we show that insulin secretion sites also contain the non-neuronal proteins LL5β (also known as PHLDB2) and KANK1, which, in migrating cells, organize exocytotic machinery in the vicinity of integrin-based adhesions. Depletion of LL5β or focal adhesion disassembly triggered by myosin II inhibition perturbed the clustering of secretory complexes and attenuated the first wave of insulin release. Although previous analyses in vitro and in neurons have suggested that secretory machinery might assemble through liquid–liquid phase separation, analysis of endogenously labeled ELKS in pancreatic islets indicated that its dynamics is inconsistent with such a scenario. Instead, fluorescence recovery after photobleaching and single-molecule imaging showed that ELKS turnover is driven by binding and unbinding to low-mobility scaffolds. Both the scaffold movements and ELKS exchange were stimulated by glucose treatment. Our findings help to explain how integrin-based adhesions control spatial organization of glucose-stimulated insulin release.
Prediction of invasive adenocarcinomas manifesting as pure ground-glass nodules based on radiomic signature of low-dose CT in lung cancer screening
Authors: Li Yong , Liu Jieke , Yang Xi , Xu Hao , Qing Haomiao , Ren Jing , Zhou Peng 
Published: January 2022

Objective: To develop a radiomic model based on low-dose CT (LDCT) to distinguish invasive adenocarcinomas (IAs) from adenocarcinoma in situ/minimally invasive adenocarcinomas (AIS/MIAs) manifesting as pure ground-glass nodules (pGGNs) and compare its performance with conventional quantitative and semantic features of LDCT, radiomic model of standard-dose CT, and intraoperative frozen section (FS). Methods: A total of 147 consecutive pathologically confirmed pGGNs were divided into primary cohort (43 IAs and 60 AIS/MIAs) and validation cohort (19 IAs and 25 AIS/MIAs). Logistic regression models were built using conventional quantitative and semantic features, selected radiomic features of LDCT and standard-dose CT, and intraoperative FS diagnosis, respectively. The diagnostic performance was assessed by area under curve (AUC) of receiver operating characteristic curve, sensitivity, and specificity. Results: The AUCs of quantitative-semantic model, radiomic model of LDCT, radiomic model of standard-dose CT, and FS model were 0.879 (95% CI, 0.801-0.935), 0.929 (95% CI, 0.862-0.971), 0.941 (95% CI, 0.876-0.978), and 0.884 (95% CI, 0.805-0.938) in the primary cohort and 0.897 (95% CI, 0.768-0.968), 0.933 (95% CI, 0.815-0.986), 0.901 (95% CI, 0.773-0.970), and 0.828 (95% CI, 0.685-0.925) in the validation cohort. No significant difference of the AUCs was found among these models in both the primary and validation cohorts (all p > 0.05). Conclusion: The LDCT-based quantitative-semantic score and radiomic signature, with good predictive performance, can be pre-operative and non-invasive biomarkers for assessing the invasive risk of pGGNs in lung cancer screening. Advances in knowledge: The LDCT-based quantitative-semantic score and radiomic signature, with the equivalent performance to the radiomic model of standard-dose CT, can be pre-operative predictors for assessing the invasiveness of pGGNs in lung cancer screening and reducing excess examination and treatment.
Classification of Crop Residue Cover in High-Resolution RGB Images Using Machine Learning
Authors: Upadhyay Parth C. , Lory John A. , DeSouza Guilherme N. , Lagaunne Timotius A. P. , Spinka Christine M. 
Published: January 2022

HighlightsA machine learning framework estimated residue cover in RGB images taken at three resolutions from 88 locations.The best results primarily used texture features, the RFE-SVM feature selection method, and the SVM classifier.Accounting for shadows and plants plus modifying and optimizing the texture features may improve performance.An automated system developed using machine learning is a viable strategy to estimate residue cover from RGB images obtained with handheld or UAV platforms.Abstract. Maintaining plant residue on the soil surface contributes to sustainable cultivation of arable land. Applying machine learning methods to RGB images of residue could overcome the subjectivity of manual methods. The objectives of this study were to use supervised machine learning while identifying the best feature selection method, the best classifier, and the most effective image feature types for classifying residue levels in RGB imagery. Imagery was collected from 88 locations in 40 row-crop fields in five Missouri counties between early May and late June in 2018 and 2019 using a tripod-mounted camera (0.014 cm pixel-1 ground sampling distance, GSD) and an unmanned aerial vehicle (UAV, 0.05 and 0.14 GSD). At each field location, 50 contiguous 0.3 × 0.2 m region of interest (ROI) images were extracted from the imagery, resulting in a dataset of 4,400 ROI images at each GSD. Residue percentages for ground truth were estimated using a bullseye grid method (n = 100 points) based on the 0.014 GSD images. Representative color, texture, and shape features were extracted and evaluated using four feature selection methods and two classifiers. Recursive feature elimination using support vector machine (RFE-SVM) was the best feature selection method, and the SVM classifier performed best for classifying the amount of residue as a three-class problem. The best features for this application were associated with texture, with local binary pattern (LBP) features being the most prevalent for all three GSDs. Shape features were irrelevant. The three residue classes were correctly identified with 88%, 84%, and 81% 10-fold cross-validation scores for the 2018 training data and 81%, 69%, and 65% accuracy for the 2019 testing data in decreasing resolution order. Converting image-wise data (0.014 GSD) to location residue estimates using a Bayesian model showed good agreement with the location-based ground truth (r2 = 0.90). This initial assessment documents the use of RGB images to match other methods of estimating residue, with potential to replace or be used as a quality control for line-transect assessments. Keywords: Feature selection, Soil erosion, Support vector machine, Texture features, Unmanned aerial vehicle.