bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of microalbuminuria from proteinuria in chronic kidney disease due to non-diabetic lifestyle-related diseases: comparison with diabetes
Authors: Ogi Makoto , Seto Takuya , Wakabayashi Yoshinori 
Published: March 2021

Abstract
Background
To suppress increases in kidney failure and cardiovascular disease due to lifestyle-related diseases other than diabetes, early intervention is desirable. We examined whether microalbuminuria could be predicted from proteinuria.

Methods
The participants consisted of adults who exhibited a urinary protein-to-creatinine ratio (uPCR) of < 0.5 g/gCr and an eGFR of ≥ 15 ml/min/1.73 m2 in their spot urine at their first examination for lifestyle-related disease. Urine was tested three times for each case, with microalbuminuria defined as a urinary albumin-to-creatinine ratio (uACR) of 30–299 mg/gCr, at least twice on three measurements. Youden’s Index was used as an index of the cut-off value (CO) according to the ROC curve.

Results
A single uPCR was useful for differentiating normoalbuminuria and micro- and macroalbuminuria in patients with non-diabetic lifestyle-related diseases. Regarding the GFR categories, the CO of the second uPCR was 0.09 g/gCr (AUC 0.89, sensitivity 0.76, specificity 0.89) in G1-4 (n = 197) and 0.07 g/gCr (AUC 0.92, sensitivity 0.85, specificity 0.88) in G1-3a (n = 125). Using the sum of two or three uPCR measurements was more useful than a single uPCR for differentiating microalbuminuria in non-diabetic lifestyle disease [CO, 0.16 g/gCr (AUC 0.91, sensitivity 0.85, specificity 0.87) and 0.23 g/gCr (AUC 0.92, sensitivity 0.88, specificity 0.84), respectively].

Conclusion
Microalbuminuria in Japanese individuals with non-diabetic lifestyle-related diseases can be predicted from the uPCR, wherein the CO of the uPCR that differentiates normoalbuminuria and micro- and macroalbuminuria was 0.07 g/gCr for G1-3a, while that in G3b-4 was 0.09 g/gCr.
Neuroimaging in dementia
Authors: Furtner Julia , Prayer Daniela 
Published: March 2021

SummaryDespite the fact that the diagnosis of dementia is mainly based on clinical criteria, the role of neuroimaging is still expanding. Among other imaging techniques, magnetic resonance imaging (MRI) plays a core role in assisting with the differentiation between various dementia syndromes and excluding other underlying pathologies that cause dementia, such as brain tumors and subdural hemorrhages. This article gives an overview of the standard MRI protocol and of structural radiological reporting systems in patients who suffer from dementia. Moreover, it presents characteristic MRI features of the most common dementia subtypes.
Derived Equivalences for the Flops of Type C2 and ${A}_{4}^{G}$ via Mutation of Semiorthogonal Decomposition
Authors: Morimura Hayato 
Published: March 2021

AbstractWe give a new proof of the derived equivalence of a pair of varieties connected by the flop of typeC2in the list of Kanemitsu (2018), which is originally due to Segal (Bull. Lond. Math. Soc.,48(3) 533–538, 2016). We also prove the derived equivalence of a pair of varieties connected by the flop of type${A}_{4}^{G}$A4Gin the same list. The latter proof follows that of the derived equivalence of Calabi–Yau 3-folds in Grassmannians Gr(2,5) and Gr(3,5) by Kapustka and Rampazzo (Commun. Num. Theor. Phys.,13(4) 725–761 2019) closely.
Circular RNA circGLIS3 promotes bladder cancer proliferation via the miR-1273f/SKP1/Cyclin D1 axis
Authors: Wu Shuilian , Yang Jialei , Xu Haotian , Wang Xin , Zhang Ruirui , Lu Wenmin , Yang Jie , Li Xiaofei , Chen Sixian , Zou Yunfeng , Nan Aruo 
Published: March 2021

AbstractExtensive research confirmed that circRNA can play a regulatory role in various stages of tumors by interacting with various molecules. Identifying the differentially expressed circRNA in bladder cancer and exploring its regulatory mechanism on bladder cancer progression are urgent. In this study, we screened out a circRNA-circGLIS3 with a significant upregulation trend in both bladder cancer tissues and cells. Bioinformatics prediction results showed that circGLIS3 may be involved in multiple tumor-related pathways. Function gain and loss experiments verified circGLIS3 can affect the proliferation, migration, and invasion of bladder cancer cells in vitro. Moreover, silencing circGLIS3 inhibited bladder cancer cell growth in vivo. Subsequent research results indicated circGLIS3 regulated the expression of cyclin D1, a cell cycle–related protein, and cell cycle progression. Mechanically, circGLIS3 upregulates the expression of SKP1 by adsorbing miR-1273f and then promotes cyclin D1 expression, ultimately promoting the proliferation of bladder cancer cells. In summary, our study indicates that circGLIS3 plays an oncogene role in the development of bladder cancer and has potential to be a candidate for bladder cancer.
Graphical abstract
Effect of oxidation on cellulose and water structure: a molecular dynamics simulation study
Authors: Mudedla Sathish Kumar , Vuorte Maisa , Veijola Elias , Marjamaa Kaisa , Koivula Anu , Linder Markus B. , Arola Suvi , Sammalkorpi Maria 
Published: March 2021

AbstractEnzymatic cleavage of glycocidic bonds is an important, green and biocompatible means to refine lignocellulosic biomass. Here, the effect of the resulting oxidation point defects on the structural and water interactions of crystalline cellulose {100} surface are explored using classical molecular dynamics simulations. We show that even single oxidations reduce the connections within cellulose crystal significantly, mostly via local interactions between the chains along the surface plane but also via the oxidation defects changing the structure of the crystal in direction perpendicular to the surface. Hydrogen bonding on the surface plane of cellulose is analyzed to identify onset of desorption of glucose chains, and the desorption probed. To assess the actual soluble product profile and their fractions resulting from lytic polysaccharide monooxygenase (LPMO) enzyme oxidation on real cellulose crystal samples, we employ High-Performance Anion-Exchange Chromatography with Pulsed Amperometric-Detection (HPAEC-PAD) technique. The findings demonstrate the LPMO oxidation results in soluble glucose fragments ranging from 2 to 8 glucose units in length. Additionally, significantly more oxidized oligosaccharides were released in LPMO treatment of AaltoCell than Avicel, the two studied microcrystalline cellulose species. This is likely to result from the large reactive surface area preserved in AaltoCell due to manufacturing process. Furthermore, as can be expected, the oxidation defects at the surfaces lead to the surfaces binding a larger amount of water both via direct influence by the defect but also the defect induced protrusions and fluctuations of the glucose chain. We quantify the enhancement of water interactions of cellulose crystals due to the oxidation defects, even when no desorption takes place. The molecular simulations indicate that the effect is most pronounced for the C1-acid oxidation (carboxylic acid formation) but present also for the other defects resulting from oxidation. The findings bear significance in understanding the effects of enzymatic oxidation on cellulose nanocrystals, the difference between cellulose species, and cleavage of soluble products from the cellulosic material.
Strategies to manage quality requirements in agile software development: a multiple case study
Authors: Karhapää Pertti , Behutiye Woubshet , Rodríguez Pilar , Oivo Markku , Costal Dolors , Franch Xavier , Aaramaa Sanja , Choraś Michał , Partanen Jari , Abherve Antonin 
Published: March 2021

AbstractAgile methods can deliver software that fulfills customer needs rapidly and continuously. Quality requirements (QRs) are important in this regard; however, detailed studies on how companies applying agile methods to manage QRs are limited, as are studies on the rationale for choosing specific QR management practices and related challenges. The aim of this study was to address why practitioners manage QRs as they do and what challenges they face. We also analyzed how existing practices mitigate some of the found challenges. Lastly, we connect the contextual elements of the companies with their practices and challenges. We conducted 36 interviews with practitioners from four companies of varying sizes. Since each company operates in different domains, comparing QR management strategies and related challenges in different contexts was possible. We found that the companies apply proactive, reactive, and interactive strategies to manage QRs. Additionally, our study revealed 40 challenges in six categories that companies applying agile methods may face in QR management. We also identified nine contextual elements that affect QR management practice choices and which, importantly, can explain many related challenges. Based on these findings, we constructed a theoretical model about the connection between context, QR management practices, and challenges. Practitioners in similar contexts can learn from the practices identified in this study. Our preliminary theoretical model can help other practitioners identify what challenges they can expect to face in QR management in different developmental contexts as well as which practices to apply to mitigate these challenges.
Interpreting binary neutron star mergers: describing the binary neutron star dynamics, modelling gravitational waveforms, and analyzing detections
Authors: Dietrich Tim , Hinderer Tanja , Samajdar Anuradha 
Published: March 2021

AbstractGravitational waves emitted from the coalescence of neutron star binaries open a new window to probe matter and fundamental physics in unexplored, extreme regimes. To extract information about the supranuclear matter inside neutron stars and the properties of the compact binary systems, robust theoretical prescriptions are required. We give an overview about general features of the dynamics and the gravitational wave signal during the binary neutron star coalescence. We briefly describe existing analytical and numerical approaches to investigate the highly dynamical, strong-field region during the merger. We review existing waveform approximants and discuss properties and possible advantages and shortcomings of individual waveform models, and their application for real gravitational-wave data analysis.
A cohort study of men infected with COVID-19 for presence of SARS-CoV-2 virus in their semen
Authors: Burke Corey A. , Skytte AB , Kasiri Saghar , Howell Dixie , Patel Zamip P. , Trolice Mark P. , Parekattil Sijo J. , Michael Scott F. , Paul Lauren M. 
Published: March 2021

Abstract
Introduction
Whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can be detected in semen and transmitted sexually is a vital question that has, thus far, been inconclusive. Prior studies, with limited numbers, have included men in various stages of infection with most in the recovery phase of the illness. The timing of test results and severity of illness has made recruiting study participants a significant challenge. Our pilot study will examine semen from men with a recent diagnosis of COVID-19 as well as those in the convalescent phase to determine if SARS-CoV-2 can be detected and its relationship, if any, with the severity of the disease.

Methods
Eighteen men with a median age of 32 (range, 24-57) who tested positive for COVID-19 by rt-PCR analysis were enrolled and provided a semen sample. The study group demonstrated symptoms of COVID-19 ranging from asymptomatic to moderate and none required hospitalization. Samples were subjected to viral RNA extraction and then processed by real-time RT-PCR using the US Centers for Disease Control and Prevention (CDC, USA) panel of 2019-Novel Coronavirus (2019-nCoV) primers and probes to detect the presence of SARS-CoV-2 RNA.

Results
Length of time from diagnosis to providing a specimen ranged from 1 to 28 days (median, 6 days). Fifteen participants were symptomatic and three were asymptomatic, including recovering men, at the time of semen collection. No SARS-CoV-2 was detected in any of the semen samples.

Conclusion
Based on these preliminary results and consistent with prior findings, we suggest SARS-CoV-2 is not present in semen during the acute or convalescent phase of COVID-19.
Movement as Method: Some Existential and Epistemological Reflections on Dance in the Health Humanities
Authors: Purser Aimie 
Published: March 2021

AbstractThe embodied creative practice of dance facilitates a particular kind of awareness or attunement which can inform both the therapeutic and the intellectual work of the Health Humanities. This paper therefore considers dance as a way of ‘doing’ Health Humanities in two interlinked ways: dance as a way of healing and dance as a way of knowing. In bringing together carnal and the creative dimensions of human experience, dance offers us a way of making sense of our place in the world that provides us both with much needed existential security (tethering) and much needed epistemological freedom (untethering).
The power of modelling pulsatile profiles
Authors: van Esdonk Michiel J. , Stevens Jasper 
Published: March 2021

AbstractThe quantitative description of individual observations in non-linear mixed effects models over time is complicated when the studied biomarker has a pulsatile release (e.g. insulin, growth hormone, luteinizing hormone). Unfortunately, standard non-linear mixed effects population pharmacodynamic models such as turnover and precursor response models (with or without a cosinor component) are unable to quantify these complex secretion profiles over time. In this study, the statistical power of standard statistical methodology such as 6 post-dose measurements or the area under the curve from 0 to 12 h post-dose on simulated dense concentration–time profiles of growth hormone was compared to a deconvolution-analysis-informed modelling approach in different simulated scenarios. The statistical power of the deconvolution-analysis-informed approach was determined with a Monte-Carlo Mapped Power analysis. Due to the high level of intra- and inter-individual variability in growth hormone concentrations over time, regardless of the simulated effect size, only the deconvolution-analysis informed approach reached a statistical power of more than 80% with a sample size of less than 200 subjects per cohort. Furthermore, the use of this deconvolution-analysis-informed modelling approach improved the description of the observations on an individual level and enabled the quantification of a drug effect to be used for subsequent clinical trial simulations.
Extent, configuration and diversity of burned and forested areas predict bat richness in a fire-maintained forest
Authors: Blakey Rachel V. , Webb Elisabeth B. , Kesler Dylan C. , Siegel Rodney B. , Corcoran Derek , Cole Jerry S. , Johnson Matthew 
Published: March 2021

Abstract
Context
Fire transforms, fragments and sometimes maintains forests, creating mosaics of burned and unburned patches. Highly mobile animals respond to resources in the landscape at a variety of spatial scales, yet we know little about their landscape-scale relationships with fire.

Objectives
We aimed to identify drivers of bat richness in a landscape mosaic of forested and burned areas while identifying spatial scales at which bat richness was most strongly related to extent, configuration, and diversity measures of landscape-level habitat.

Methods
We used multi-species hierarchical occupancy modelling to relate bat richness to landscape variables at 10 spatial scales, based on acoustic data collected in the Sierra Nevada, United States. We also assessed redundancy among landscape variable type (extent, configuration, and diversity) and between focal patch types (forested and burned).

Results
Bat richness was positively associated with heterogenous landscapes, shown by positive associations with pyrodiversity, extent and mean area of burned patches, burned and forested edge density and patch density and relationships were generally consistent across scales. Extent of forest cover and burned areas were highly correlated, but configuration and diversity of these patch types diverged.

Conclusions
Bat communities of our study area appear to be largely resilient to wildfire and adapted to more heterogenous forests and shorter-interval fire regimes that likely predominated before the fire suppression era.
On Cumulative Entropies in Terms of Moments of Order Statistics
Authors: Balakrishnan Narayanaswamy , Buono Francesco , Longobardi Maria 
Published: March 2021

AbstractIn this paper, relations between some kinds of cumulative entropies and moments of order statistics are established. By using some characterizations and the symmetry of a non-negative and absolutely continuous random variable X, lower and upper bounds for entropies are obtained and illustrative examples are given. By the relations with the moments of order statistics, a method is shown to compute an estimate of cumulative entropies and an application to testing whether data are exponentially distributed is outlined.
Being implicated: on the fittingness of guilt and indignation over outcomes
Authors: Björnsson Gunnar 
Published: March 2021

AbstractWhen is it fitting for an agent to feel guilt over an outcome, and for others to be morally indignant with her over it? A popular answer requires that the outcome happened because of the agent, or that the agent was a cause of the outcome. This paper reviews some of what makes this causal-explanatory view attractive before turning to two kinds of problem cases: cases of collective harms and cases of fungible switching. These, it is argued, motivate a related but importantly different answer. What is required for fitting guilt and indignation is that the agent is relevantlyimplicatedin that outcome: that the agent’s morally substandard responsiveness to reasons, or substandard caring, is relevantly involved in a normal explanation of it. This answer, it is further argued, makes sense because when an agent’s substandard caring is so involved, the outcome provides a lesson against such caring, a lesson central to the function of guilt and indignation.
Deep mixtures of unigrams for uncovering topics in textual data
Authors: Viroli Cinzia , Anderlucci Laura 
Published: March 2021

AbstractMixtures of unigrams are one of the simplest and most efficient tools for clustering textual data, as they assume that documents related to the same topic have similar distributions of terms, naturally described by multinomials. When the classification task is particularly challenging, such as when the document-term matrix is high-dimensional and extremely sparse, a more composite representation can provide better insight into the grouping structure. In this work, we developed a deep version of mixtures of unigrams for the unsupervised classification of very short documents with a large number of terms, by allowing for models with further deeper latent layers; the proposal is derived in a Bayesian framework. The behavior of the deep mixtures of unigrams is empirically compared with that of other traditional and state-of-the-art methods, namelyk-means with cosine distance,k-means with Euclidean distance on data transformed according to semantic analysis, partition around medoids, mixture of Gaussians on semantic-based transformed data, hierarchical clustering according to Ward’s method with cosine dissimilarity, latent Dirichlet allocation, mixtures of unigrams estimated via the EM algorithm, spectral clustering and affinity propagation clustering. The performance is evaluated in terms of both correct classification rate and Adjusted Rand Index. Simulation studies and real data analysis prove that going deep in clustering such data highly improves the classification accuracy.
Application of NOMA for cellular-connected UAVs: opportunities and challenges
Authors: New Wee Kiat , Leow Chee Yen , Navaie Keivan , Sun Yanshi , Ding Zhiguo 
Published: March 2021

AbstractUnmanned aerial vehicles (UAVs) have gained considerable interests in numerous civil applications. To push forward its potentials, cellular-connected UAVs have been introduced. Nevertheless, cellular networks face several bottlenecks such as spectrum scarcity and limited concurrent connectivity. To address these issues, non-orthogonal multiple access (NOMA) can be adopted. NOMA provides several opportunities for cellular-connected UAVs such as larger rate region, balanced performance between system throughput and fairness, and reduced delay. In this paper, we review important findings of the related studies, and outline new opportunities and challenges in NOMA for cellular-connected UAVs. Monte-Carlo simulations are then performed to analyze the new aerial user’s (AU)’s signal characteristics and evaluate the NOMA performance for co-existence of AU and terrestrial user (TU). Our preliminary results show that NOMA is a promising strategy for cellular-connected UAVs.
SEOM clinical guidelines for pancreatic and biliary tract cancer (2020)
Authors: Gómez-España Mª A. , Montes A. F. , Garcia-Carbonero R. , Mercadé T. M. , Maurel J. , Martín A. M. , Pazo-Cid R. , Vera R. , Carrato A. , Feliu J. 
Published: March 2021

AbstractPancreatic cancer (PC) and biliary tract cancer (BTC) are both aggressive and highly fatal malignancies. Nowadays we have a profound knowledge about the molecular landscape of these neoplasms and this has allowed new therapeutic options. Surgery is the only potentially curative therapy in both cancers, but disease recurrence is frequent. In PC, adjuvant treatment with mFOLFIRINOX has improved overall survival (OS) and in BTC adjuvant treatment with capecitabine seems to improve OS and relapse-free survival. Concomitant radio-chemotherapy could also be considered following R1 surgery in both neoplasms. Neoadjuvant treatment represents the best option for achieving an R0 resection in borderline PC. Upfront systemic chemotherapy is the treatment of choice in unresectable locally advanced PC and BTC; then locoregional therapy could be considered after an initial period of at least 3–4 months of systemic chemotherapy. In metastatic PC, FOLFIRINOX or Gemcitabine plus nab-paclitaxel have improved OS compared with gemcitabine alone. In metastatic BTC, cisplatin plus gemcitabine constitute the standard treatment. Progress in the knowledge of molecular biology has enabled the identification of new targets for therapy with encouraging results that could in the future improve the survival and quality of life of patients with PC and BTC.
The highly flexible disordered regions of the SARS-CoV-2 nucleocapsid N protein within the 1–248 residue construct: sequence-specific resonance assignments through NMR
Authors: Schiavina Marco , Pontoriero Letizia , Uversky Vladimir N. , Felli Isabella C. , Pierattelli Roberta 
Published: March 2021

AbstractThe nucleocapsid protein N from SARS-CoV-2 is one of the most highly expressed proteins by the virus and plays a number of important roles in the transcription and assembly of the virion within the infected host cell. It is expected to be characterized by a highly dynamic and heterogeneous structure as can be inferred by bioinformatics analyses as well as from the data available for the homologous protein from SARS-CoV. The two globular domains of the protein (NTD and CTD) have been investigated while no high-resolution information is available yet for the flexible regions of the protein. We focus here on the 1–248 construct which comprises two disordered fragments (IDR1 and IDR2) in addition to the N-terminal globular domain (NTD) and report the sequence-specific assignment of the two disordered regions, a step forward towards the complete characterization of the whole protein.