bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Probabilistic Approach for Three-Dimensional Variation Analysis in Aero-engine Rotors Assembly
Authors: Ding Siyi , He Yuhang , Zheng Xiaohu 
Published: June 2021

AbstractRotor assembly is a core tache in the whole process of aero-engine manufacturing. Preventing out-of-tolerance of concentricity is one of the primary tasks. Conventional assembly approaches are based on a manual test with the dial indicator, depending on experience appraises, which lack systematic and quantitative precision design theory. As a result, two issues need to be solved: the modeling problem of complicated geometric variations in three-dimensions, as well as the abnormal distribution of ubiquitous actual deviations. This work attempts to propose a novel probabilistic approach for three-dimensional variation analysis in rotor assembly. Based on rotor’s revolving characteristics and multistage stacking process, Jacobian–Torsor model is adopted to establish the variation propagation, and Pearson distribution family is used to derive the probability density function, which can quickly determine the variation distribution pattern and efficiently perform statistical variation analysis. A real case of mechanical assemblies consisting of revolving axisymmetric components is concerned. The results show that the suggested method has a similar accuracy, but much higher efficiency than conventional methods. Calculations agree with the experimentations, and the probability distribution type of the part’s variation has an appreciable impact on the final assembly precision.
Completely order bounded maps on non-commutative $${\varvec{L_p}}$$-spaces
Authors: Neuhardt Erwin 
Published: June 2021

AbstractWe define norms on $$L_p({\mathcal {M}}) \otimes M_n$$

L
p

(
M
)

⊗

M
n

where $${\mathcal {M}}$$
M
is a von Neumann algebra and $$M_n$$

M
n

is the space of complex $$n \times n$$

n
×
n

matrices. We show that a linear map $$T: L_p({\mathcal {M}}) \rightarrow L_q({\mathcal {N}})$$

T
:

L
p

(
M
)

→

L
q

(
N
)

is decomposable if $${\mathcal {N}}$$
N
is an injective von Neumann algebra, the maps $$T \otimes Id_{M_n}$$

T
⊗
I

d

M
n

have a common upper bound with respect to our defined norms, and $$p = \infty $$

p
=
∞

or $$q = 1$$

q
=
1

. For $$2p< q < \infty $$

2
p
<
q
<
∞

we give an example of a map $$T$$
T
with uniformly bounded maps $$T \otimes Id_{M_n}$$

T
⊗
I

d

M
n

which is not decomposable.
Bibliometric Analysis of COVID-19 and the Association With the Number of Total Cases
Authors: Pasin Ozge , Pasin Tugce 
Published: June 2021

AbstractObjectives:Coronavirus disease 2019 (COVID-19) has spread quickly all over the world. The number of studies in this field being performed and published is increasing day by day. The aim of this study is to analyze the publications in the field of COVID-19 with the help of bibliometric methods. After bibliometric analysis, the second aim is to investigate the relationship between the number of publications in countries and the number of total cases.Methods:The data in the study were taken from the Web of Science (WOS) site. Analyses and mapping processes were performed using VOSviewer and SPSS package program. The words “COVID-19”, “Novel Coronavirus”, “2019-nCoV”, “SARS-CoV-2” were used as key words for analysis. The data include publications from 2019 to 2021 (January 10).Results:As a result of the study, a total of 38,080 publications were evaluated. It was determined that the countries with the highest number of publications on COVID-19 were China and the United States, and the country with the highest number of citations was China. Most of the studies in the field of COVID-19 have been conducted on General Internal Medicine and Public Enviromental Occupational Health. In addition, statistically significant relationships were observed between the number of publications and the number of total cases in terms of countries (r = 0.806; P < 0.001).Conclusions:As a result, bibliometric analysis about COVID-19 can be useful for the future studies. It gives a general perspective of the studies.
MODELS OF MARTIN-LÖF TYPE THEORY FROM ALGEBRAIC WEAK FACTORISATION SYSTEMS
Authors: GAMBINO NICOLA , LARREA MARCO FEDERICO 
Published: June 2021

AbstractWe introduce type-theoretic algebraic weak factorisation systems and show how they give rise to homotopy-theoretic models of Martin-Löf type theory. This is done by showing that the comprehension category associated with a type-theoretic algebraic weak factorisation system satisfies the assumptions necessary to apply a right adjoint method for splitting comprehension categories. We then provide methods for constructing several examples of type-theoretic algebraic weak factorisation systems, encompassing the existing groupoid and cubical sets models, as well as new models based on normal fibrations.
Assessment of dietary intake of bioactive food compounds according to income level in the Brazilian population
Authors: Carnauba Renata A. , Sarti Flavia M. , Hassimotto Neuza M.A. , Lajolo Franco M. 
Published: June 2021

AbstractThere is an inverse association between bioactive compounds intake and disease risk. The knowledge of its consumption according to socio-economic strata is important, which allows identification of potential intervention targets. Thus, we aimed to investigate bioactive compounds intake according to income level in Brazilian population. Data were obtained from the Brazilian Household Budget Survey, a cross-sectional survey which included data on individual food intake of 34,003 subjects aged 10 years and over collected using two 24-h dietary records. Polyphenol and carotenoid content of foods was identified using published databases. Total polyphenol and carotenoid intake were determined according to per capita income, as well as main food sources. Total polyphenols and flavonoids intake increased with income level, and subjects with lower income showed higher phenolic acids intake than individuals in highest income (p = 0.0001). Total carotenoids and classes intake (with exception to β-cryptoxanthin and zeaxanthin) were higher among subjects in highest income quartile, compared to the lowest quartile (p = 0.0001). Coffee was major source to total polyphenols and phenolic acids intake, and orange juice was main flavonoid provider in individuals from all income levels. In the upper income quartile, total carotenoid was supplied mainly by tomato and kale, and fruits had important contribution to carotenoid intake in the lowest income quartile. There is important influence of income level on diet quality regarding intake of foods with bioactive compounds, and individuals with lower income may experience lower quality diets due to less availability of foods with bioactive compounds.
Effects of olives and their constituents on the expression of ulcerative colitis: a systematic review of randomised controlled trials
Authors: Daniel Kenneth , Vitetta Luis , Fiatarone Singh Maria A. 
Published: June 2021

AbstractExtra virgin olive oil is often associated with anti-inflammatory and antioxidant properties. Its effects on inflammatory conditions such as ulcerative colitis (UC), however, have yet to be defined. As such, we aimed to conduct a systematic review and meta-analysis of studies investigating olive-based interventions in UC. A comprehensive database search for randomised controlled trials was performed between 9 July 2018 and 16 August 2018. Studies identified from search alerts were included up to 22 June 2020. Both individuals living with UC at any disease stage and murine models of UC were included in this review. No human trials meeting the eligibility criteria were identified, while nineteen animal studies comprised 849 murine models of UC were included in this review. Pooling of the data could not be performed due to heterogeneous outcomes; however, general trends favouring olive-based interventions were identified. Milder disease expression including weight maintenance, reduced rectal bleeding and well-formed stools favouring olive-based interventions was statistically significant in 16/19 studies, with moderate-to-large effect sizes (−0·66 (95 % CI −1·56, 0·24) to −12·70 (95 % CI −16·8, −8·7)). Olive-based interventions did not prevent the development of colitis-like pathologies in any study. In conclusion, effects of olive-based interventions on murine models of UC appear promising, with milder disease outcomes favouring the intervention in most trials and effect sizes suggesting potential clinical relevance. However, the lack of published randomised controlled human trials warrants further investigation to determine if these effects would translate to individuals living with UC.
Who benefits most from an evidence-based program to reduce anxiety and depression in children? A latent profile analysis
Authors: Melero Silvia , Morales Alexandra , Tomczyk Samuel , Espada José Pedro , Orgilés Mireia 
Published: June 2021

AbstractComorbidity between anxiety and depression symptoms is often high in children. Person-oriented statistical approaches are useful to detect heterogeneity of individuals and diverse patterns of response to treatment. This study aimed to explore the different profiles in a sample of Spanish children who received the Super Skills for Life (SSL) transdiagnostic program, to identify which profile of individuals benefited most from the intervention and the likelihood of transition of symptom patterns over time. Participants were 119 children (42.9% were female) aged 8–12 years old (M = 9.39; SD = 1.26). Children completed anxiety and depression measures at the baseline, postintervention, and 12-months follow-up. Results from latent transition analysis (LTA) revealed two groups depending on the severity of the anxiety and depression symptoms: low symptoms (LS) and high symptoms (HS). LS group remained stable and HS decreased by 25%, switching to the LS group. Children with greater social anxiety benefited most from the program over time. Furthermore, older children were more likely to improve rapidly one year after the intervention compared to younger children. This study provides information to consider when implementing preventive interventions for schoolchildren and to tailor them according to the target population characteristics to increase their effectiveness.
Miniaturized CPW-fed UWB-MIMO antennas with decoupling stub and enhanced isolation
Authors: Khattak Muhammad Irfan , Khan Muhammad Irshad , Anab Muhammad , Ullah Amjad , Al-Hasan Muath , Nebhen Jamel 
Published: June 2021

AbstractIn this paper, a coplanar waveguide-fed ultra-wideband-multiple-input and multiple-output (UWB-MIMO) antenna with a novel stub for isolation has been presented. The dimensions of the proposed antenna are 18 × 22 × 1.6 mm3. The proposed antenna is design on an FR4 substrate and simulated in CST studio. The |S11| of the presented MIMO antenna is less than −10 dB between 2.8 and 13 GHz with an impedance bandwidth of 10.2 GHz. The envelope correlation coefficient (ECC) is less than 0.007 and diversity gain (DG) is greater than 9.97 dB. The proposed UWB-MIMO antenna is analyzed in terms of isolation, reflection coefficient, current distribution, ECC, DG, peak gain, multiplexing efficiency, and radiation pattern.
DCA-Transparency
Authors: Hossiep C. Richard , Märtins Julian , Schewe Gerhard 
Published: June 2021

Abstract. Even though there is strong theoretical support that transparency in organizations leads to trust between employees and managers as well as increasing job satisfaction (e. g., Albu & Flyverbom, 2019 ; Giri & Kumar, 2010 ), such research lacks consistent empirical evidence. This inconsistency might be explained by the use of specific nongeneralizable scales ( Schnackenberg & Tomlinson, 2016 ). Therefore, Schnackenberg et al. (2020) developed a multidimensional transparency scale consisting of three dimensions: disclosure, clarity, and accuracy (so-called DCA-transparency). This paper validates a German version of the scale as well as conceptually and empirically extends its utility by adding the two dimensions of timeliness and relevance. We conducted three quantitative studies to examine the factorial structure ( N = 325), content validity ( N1 = 133 , N2 = 120), and usefulness ( N = 376, with a representative longitudinal sample). The results support the accuracy and utility of the extended German DCA scale in organizational settings and its multidimensionality.
A Baldwin interpretation of adult hippocampal neurogenesis: from functional relevance to physiopathology
Authors: Abrous Djoher Nora , Koehl Muriel , Lemoine Maël 
Published: June 2021

AbstractHippocampal adult neurogenesis has been associated to many cognitive, emotional, and behavioral functions and dysfunctions, and its status as a selected effect or an “appendix of the brain” has been debated. In this review, we propose to understand hippocampal neurogenesis as the process underlying the “Baldwin effect”, a particular situation in evolution where fitness does not rely on the natural selection of genetic traits, but on “ontogenetic adaptation” to a changing environment. This supports the view that a strong distinction between developmental and adult hippocampal neurogenesis is made. We propose that their functions are the constitution and the lifelong adaptation, respectively, of a basic repertoire of cognitive and emotional behaviors. This lifelong adaptation occurs through new forms of binding, i.e., association or dissociation of more basic elements. This distinction further suggests that a difference is made between developmental vulnerability (or resilience), stemming from dysfunctional (or highly functional) developmental hippocampal neurogenesis, and adult vulnerability (or resilience), stemming from dysfunctional (or highly functional) adult hippocampal neurogenesis. According to this hypothesis, developmental and adult vulnerability are distinct risk factors for various mental disorders in adults. This framework suggests new avenues for research on hippocampal neurogenesis and its implication in mental disorders.
How artificial intelligence might disrupt diagnostics in hematology in the near future
Authors: Walter Wencke , Haferlach Claudia , Nadarajah Niroshan , Schmidts Ines , Kühn Constanze , Kern Wolfgang , Haferlach Torsten 
Published: June 2021

AbstractArtificial intelligence (AI) is about to make itself indispensable in the health care sector. Examples of successful applications or promising approaches range from the application of pattern recognition software to pre-process and analyze digital medical images, to deep learning algorithms for subtype or disease classification, and digital twin technology and in silico clinical trials. Moreover, machine-learning techniques are used to identify patterns and anomalies in electronic health records and to perform ad-hoc evaluations of gathered data from wearable health tracking devices for deep longitudinal phenotyping. In the last years, substantial progress has been made in automated image classification, reaching even superhuman level in some instances. Despite the increasing awareness of the importance of the genetic context, the diagnosis in hematology is still mainly based on the evaluation of the phenotype. Either by the analysis of microscopic images of cells in cytomorphology or by the analysis of cell populations in bidimensional plots obtained by flow cytometry. Here, AI algorithms not only spot details that might escape the human eye, but might also identify entirely new ways of interpreting these images. With the introduction of high-throughput next-generation sequencing in molecular genetics, the amount of available information is increasing exponentially, priming the field for the application of machine learning approaches. The goal of all the approaches is to allow personalized and informed interventions, to enhance treatment success, to improve the timeliness and accuracy of diagnoses, and to minimize technically induced misclassifications. The potential of AI-based applications is virtually endless but where do we stand in hematology and how far can we go?
Role of noncoding RNA in drug resistance of prostate cancer
Authors: Ding Lifeng , Wang Ruyue , Shen Danyang , Cheng Sheng , Wang Huan , Lu Zeyi , Zheng Qiming , Wang Liya , Xia Liqun , Li Gonghui 
Published: June 2021

AbstractProstate cancer is one of the most prevalent forms of cancer around the world. Androgen-deprivation treatment and chemotherapy are the curative approaches used to suppress prostate cancer progression. However, drug resistance is extensively and hard to overcome even though remarkable progress has been made in recent decades. Noncoding RNAs, such as miRNAs, lncRNAs, and circRNAs, are a group of cellular RNAs which participate in various cellular processes and diseases. Recently, accumulating evidence has highlighted the vital role of non-coding RNA in the development of drug resistance in prostate cancer. In this review, we summarize the important roles of these three classes of noncoding RNA in drug resistance and the potential therapeutic applications in this disease.
Persistent inequality in economically optimal climate policies
Authors: Gazzotti Paolo , Emmerling Johannes , Marangoni Giacomo , Castelletti Andrea , Wijst Kaj-Ivar van der , Hof Andries , Tavoni Massimo 
Published: June 2021

AbstractBenefit-cost analyses of climate policies by integrated assessment models have generated conflicting assessments. Two critical issues affecting social welfare are regional heterogeneity and inequality. These have only partly been accounted for in existing frameworks. Here, we present a benefit-cost model with more than 50 regions, calibrated upon emissions and mitigation cost data from detailed-process IAMs, and featuring country-level economic damages. We compare countries’ self-interested and cooperative behaviour under a range of assumptions about socioeconomic development, climate impacts, and preferences over time and inequality. Results indicate that without international cooperation, global temperature rises, though less than in commonly-used reference scenarios. Cooperation stabilizes temperature within the Paris goals (1.80∘C [1.53∘C–2.31∘C] in 2100). Nevertheless, economic inequality persists: the ratio between top and bottom income deciles is 117% higher than without climate change impacts, even for economically optimal pathways.
Maternal iron deficiency perturbs embryonic cardiovascular development in mice
Authors: Kalisch-Smith Jacinta I. , Ved Nikita , Szumska Dorota , Munro Jacob , Troup Michael , Harris Shelley E. , Rodriguez-Caro Helena , Jacquemot Aimée , Miller Jack J. , Stuart Eleanor M. , Wolna Magda , Hardman Emily , Prin Fabrice , Lana-Elola Eva , Aoidi Rifdat , Fisher Elizabeth M. C. , Tybulewicz Victor L. J. , Mohun Timothy J. , Lakhal-Littleton Samira , De Val Sarah , Giannoulatou Eleni , Sparrow Duncan B. 
Published: June 2021

AbstractCongenital heart disease (CHD) is the most common class of human birth defects, with a prevalence of 0.9% of births. However, two-thirds of cases have an unknown cause, and many of these are thought to be caused by in utero exposure to environmental teratogens. Here we identify a potential teratogen causing CHD in mice: maternal iron deficiency (ID). We show that maternal ID in mice causes severe cardiovascular defects in the offspring. These defects likely arise from increased retinoic acid signalling in ID embryos. The defects can be prevented by iron administration in early pregnancy. It has also been proposed that teratogen exposure may potentiate the effects of genetic predisposition to CHD through gene–environment interaction. Here we show that maternal ID increases the severity of heart and craniofacial defects in a mouse model of Down syndrome. It will be important to understand if the effects of maternal ID seen here in mice may have clinical implications for women.
Lipophilic nanocrystal prodrug-release defines the extended pharmacokinetic profiles of a year-long cabotegravir
Authors: Gautam Nagsen , McMillan JoEllyn M. , Kumar Devendra , Bade Aditya N. , Pan Qiaoyu , Kulkarni Tanmay A. , Li Wenkuan , Sillman Brady , Smith Nathan A. , Shetty Bhagya L. Dyavar , Szlachetka Adam , Edagwa Benson J. , Gendelman Howard E. , Alnouti Yazen 
Published: June 2021

AbstractA once every eight-week cabotegravir (CAB) long-acting parenteral is more effective than daily oral emtricitabine and tenofovir disoproxil fumarate in preventing human immunodeficiency virus type one (HIV-1) transmission. Extending CAB dosing to a yearly injectable advances efforts for the elimination of viral transmission. Here we report rigor, reproducibility and mechanistic insights for a year-long CAB injectable. Pharmacokinetic (PK) profiles of this nanoformulated CAB prodrug (NM2CAB) are affirmed at three independent research laboratories. PK profiles in mice and rats show plasma CAB levels at or above the protein-adjusted 90% inhibitory concentration for a year after a single dose. Sustained native and prodrug concentrations are at the muscle injection site and in lymphoid tissues. The results parallel NM2CAB uptake and retention in human macrophages. NM2CAB nanocrystals are stable in blood and tissue homogenates. The long apparent drug half-life follows pH-dependent prodrug hydrolysis upon slow prodrug nanocrystal dissolution and absorption. In contrast, solubilized prodrug is hydrolyzed in hours in plasma and tissues from multiple mammalian species. No toxicities are observed in animals. These results affirm the pharmacological properties and extended apparent half-life for a nanoformulated CAB prodrug. The report serves to support the mechanistic design for drug formulation safety, rigor and reproducibility.
Oncogenic BRAF, unrestrained by TGFβ-receptor signalling, drives right-sided colonic tumorigenesis
Authors: Leach Joshua D. G. , Vlahov Nikola , Tsantoulis Petros , Ridgway Rachel A. , Flanagan Dustin J. , Gilroy Kathryn , Sphyris Nathalie , Vázquez Ester G. , Vincent David F. , Faller William J. , Hodder Michael C. , Raven Alexander , Fey Sigrid , Najumudeen Arafath K. , Strathdee Douglas , Nixon Colin , Hughes Mark , Clark William , Shaw Robin ,   S:CORT consortium, Maughan Tim , Salto-Tellez Manuel , Quirke Philip , Koelzer Viktor , Dunne Philip , Beggs Andrew , Campbell Peter , Buffa Francesca , Holmes Chris , Kaplan Rick , Brown Louise , Lawler Mark , Hordern Joshua , Tomlinson Ian , Leedham Simon , Morton Dion , van Hooff Sander R. , Huels David J. , Medema Jan Paul , Barry Simon T. , Frame Margaret C. , Unciti-Broceta Asier , Leedham Simon J. , Inman Gareth J. , Jackstadt Rene , Thompson Barry J. , Campbell Andrew D. , Tejpar Sabine , Sansom Owen J. 
Published: June 2021

AbstractRight-sided (proximal) colorectal cancer (CRC) has a poor prognosis and a distinct mutational profile, characterized by oncogenic BRAF mutations and aberrations in mismatch repair and TGFβ signalling. Here, we describe a mouse model of right-sided colon cancer driven by oncogenic BRAF and loss of epithelial TGFβ-receptor signalling. The proximal colonic tumours that develop in this model exhibit a foetal-like progenitor phenotype (Ly6a/Sca1+) and, importantly, lack expression of Lgr5 and its associated intestinal stem cell signature. These features are recapitulated in human BRAF-mutant, right-sided CRCs and represent fundamental differences between left- and right-sided disease. Microbial-driven inflammation supports the initiation and progression of these tumours with foetal-like characteristics, consistent with their predilection for the microbe-rich right colon and their antibiotic sensitivity. While MAPK-pathway activating mutations drive this foetal-like signature via ERK-dependent activation of the transcriptional coactivator YAP, the same foetal-like transcriptional programs are also initiated by inflammation in a MAPK-independent manner. Importantly, in both contexts, epithelial TGFβ-receptor signalling is instrumental in suppressing the tumorigenic potential of these foetal-like progenitor cells.