bluuebunny/crossref_metadata_2025_split huggingface dataset:
Progesterone activates GPR126 to promote breast cancer development via the Gi pathway
Authors: An Wentao , Lin Hui , Ma Lijuan , Zhang Chao , Zheng Yuan , Cheng Qiuxia , Ma Chuanshun , Wu Xiang , Zhang Zihao , Zhong Yani , Wang Menghui , He Dongfang , Yang Zhao , Du Lutao , Feng Shiqing , Wang Chuanxin , Yang Fan , Xiao Peng , Zhang Pengju , Yu Xiao , Sun Jin-Peng 
Published: April 2022

Significance
The steroid hormone progesterone is highly involved in different physiological–pathophysiological processes, including bone formation and cancer progression. Understanding the working mechanisms, especially identifying the receptors of progesterone hormones, is of great value. In the present study, we identified GPR126 as a membrane receptor for both progesterone and 17-hydroxyprogesterone and triggered its downstream G protein signaling. We further characterized the residues of GPR126 that interact with these two ligands and found that progesterone promoted the progression of a triple-negative breast cancer model through GPR126-dependent Gi-SRC signaling. Therefore, developing antagonists targeting GPR126-Gi may provide an alternative therapeutic option for patients with triple-negative breast cancer.
Understanding the Values and Attitudes of New Residents in a Community Intentionally Designed to Elicit Social Connections
Authors: Sheehan Dwayne P. , Ammar Diala F. 
Published: April 2022

Abstract
This case study focuses on developing an objective, baseline understanding of the opinions and behaviors of residents currently residing in the developing neighborhood of Livingston (Calgary, Alberta, Canada). Livingston is unique because it is a new community composed of mostly young couples from diverse backgrounds who have collectively chosen to be part of a community-focused developing neighborhood. More specifically, researchers from Mount Royal University (MRU) explored the sense of belonging, physical activity behaviors, and level of engagement of the pioneer residents (first families who opted to move in to this brand-new community). This baseline knowledge can be used by the developer (Brookfield Residential) and local recreation leaders (such as Vivo for Healthier Generations and City of Calgary Recreation) to understand the current and anticipated expectations of residents living in Livingston, including opportunities for active and healthy living. Discoveries from this study can also provide evidence to help inform future planning and decision making related to the built environment and vibrancy within a community as it is being built. A combination of semi-structured interviews with families living in Livingston along with personalized physical activity (PA) behavior assessments and validated questionnaires for both children and adults living in Livingston were used. Several themes emerged from the data analysis including (but not limited to); neighborhood vibrancy, environmental appeal, health and happiness, harmonious living, belonging, and infrastructure.

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Vancouver Island University World Leisure Centre of Excellence
© D.P. Sheehan and D.F. Ammar, 2020
Exploring the Case Sustainable Tourism Development – The Mountaineering Village Initiative
Authors: Muskat Birgit , Reichenberger Ina , Muskat Matthias , Aigner Anna-Elisabeth 
Published: April 2022

Introduction
The Mountaineering Village Initiative presents interesting insights into planning approaches for destinations that have not only not benefited from increasing visitor numbers, but also have suffered from the success of neighbouring destinations. It raises a number of questions about sustainable tourism development as well as the future of mass tourism, visitor distribution, creative tourism, value co-creation and authentic tourist experiences.
Particle production in accelerated thin bubbles
Authors: Teppa Pannia Florencia Anabella , Perez Bergliaffa Santiago Esteban , Pinto-Neto Nelson 
Published: April 2022

Abstract
We investigate the creation of scalar particles inside a
region delimited by a bubble which is expanding with non-zero
acceleration. The bubble is modelled as a thin shell and plays the
role of a moving boundary, thus influencing the fluctuations of the
test scalar field inside it. Bubbles expanding in Minkowski
spacetime as well as those dividing two de Sitter spacetimes are
explored in a unified way. Our results for the Bogoliubov
coefficient βk
when considering only the squeezing effects
show that in all cases the creation of scalar particles decreases
with the mass, and is much more significant in the case of nonzero
curvature. They also show that the dynamics of the bubble and its
size are relevant for particle creation, but in the dS-dS case the
combination of both effects leads to a behaviour different from that
of Minkowski space-time, due to the presence of a length scale (the
Hubble radius of the internal geometry).
Neural networks and standard cosmography with newly calibrated high redshift GRB observations
Authors: Escamilla-Rivera Celia , Carvajal Maryi , Zamora Cristian , Hendry Martin 
Published: April 2022

Abstract
Gamma-ray bursts (GRBs) detected at high redshift can be used to trace the cosmic expansion history. However, the calibration of their luminosity distances is not an easy task in comparison to Type Ia Supernovae (SNeIa). To calibrate these data, correlations between their luminosity and other observed properties of GRBs need to be identified, and we must consider the validity of our assumptions about these correlations over their entire observed redshift range. In this work, we propose a new method to calibrate GRBs as cosmological distance indicators using SNeIa observations with a machine learning architecture. As well we include a new data GRB calibrated sample using extended cosmography in a redshift range above z > 3.6.
An overview of this machine learning technique was developed in [1] to study the evolution of dark energy models at high redshift.
The aim of the method developed in this work is to combine two networks: a Recurrent Neural Network (RNN) and a Bayesian Neural Network (BNN). Using this computational approach, denoted RNN+BNN, we extend the network's efficacy by adding the computation of covariance matrices to the Bayesian process. Once this is done, the SNeIa distance-redshift relation can be tested on the full GRB sample and therefore used to implement a cosmographic reconstruction of the distance-redshift relation in different regimes. Thus, our newly-trained neural network is used to constrain the parameters describing the kinematical state of the Universe via a cosmographic approach at high redshifts (up to z ≈ 10), wherein we require a very minimal set of assumptions on the deep learning arquitecture itself that do not rely on dynamical equations for any specific theory of gravity.
Laser speckle image velocimetry by Fast Fourier Transform technique
Authors: Balamurugan R 
Published: April 2022

Abstract
In this paper, laser image velocimetry, a unique optical method for the velocity measurement of fluid flow has been validated. A laser sheet is illuminated on microscopic seeded particles to produce the speckle pattern at the recording plane. Double frame-single exposure speckle images are captured in such a way that the second speckle image is shifted exactly in a known direction. The auto-correlation method has an ambiguity to identify the direction of flow. To sort out this problem, the partial shift of the second image has been premeditated. Cross-correlation of sub interrogation areas of the speckle patterns is attained by the Fast Fourier Transform technique. Segmented four sub-windows are processed to acquire the velocity information with a vector map precisely.
Reinvestigating B → PV decays by including contributions from ϕ

B2 with the perturbative QCD approach *
Authors: Yang Yueling , Zhao Xule , Lang Lan , Huang Jinshu , Sun Junfeng 
Published: April 2022

Abstract
Considering the B mesonic wave function

,

decays are restudied in the leading order for three scenarios using the perturbative QCD approach within the standard model, where

and K, and V denotes the ground

vector mesons. It is found that contributions from

can enhance most branching ratios and are helpful for improving the overall consistency of branching ratios between the updated calculations and available data, although there are still several discrepancies between the experimental and theoretical results.
Transport equations for driven many-body quantum systems
Authors: Weidenmüller H A 
Published: April 2022

Abstract
Transport equations for autonomous driven fermionic quantum systems are derived with the help of statistical assumptions, and of the Markov approximation. The statistical assumptions hold if the system consists of subsystems within which equilibration is sufficiently fast. The Markov approximation holds if the level density in each subsystem is sufficiently smooth in energy. The transport equation describes both, relaxation of occupation probability among subsytems at equal energy that leads to thermalization, and the transport of the system to higher energy caused by the driving force. The laser–nucleus interaction serves as an example for the applicability and flexibility of the approach.
A method of delineating ecological red lines based on gray relational analysis and the minimum cumulative resistance model: a case study of Shawan District, China
Authors: Sun Jiaqi , Huang Jiejun , Wang Qi , Zhou Han 
Published: April 2022

Abstract
The delineation of ecological red lines (ERLs) is of great significance to ensure ecological security and improve the quality of the ecological environment. However, most of the current ERL delineation only focuses on the natural environment, lacks consideration of the spatial pattern of ecological landscape, and there is no scientific standard for ERL delineation. From the perspective of ecological security patterns (ESPs), this study proposed an ERL delineation method based on gray relational analysis (GRA) and the minimum cumulative resistance (MCR) model. Then taking Shawan District as an example, the effectiveness of the method was verified by comparing the delineated ERL in this study with that of traditional evaluation methods. A total of 321.43 km2 of ERL was delineated, accounting for 67.75% of the total area of Shawan District, including 69.70 km2 of Grade I ERL zones, 251.73 km2 of Grade II ERL zones. The results show that ERLs based on GRA and MCR exhibit better connectivity and contain more ecological land. The method has guiding significance and reference value for regional ERL delineation, which is conducive to the decision-making of environmental protection departments. Conservation measures for different landscapes are more targeted to constrain people’s productive activities precisely.
A nonlinear process monitoring strategy with a 2-phase fault diagnosis approach
Authors: Kumar Ashish , Das Anupam 
Published: April 2022

Abstract
The article delves into the development of Statistical Fault Detection and Diagnosis Strategies for an Integrated Steel Plant (ISP) taking into account the nonlinear relationship amongst the monitored Process and Feedstock Characteristics. The strategies being devised is based on Neural Network Fitting model cum Principal Component Analysis based technique (NNF-PCA) and Kernel Principal Component Analysis (KPCA) based technique. For detection of fault(s) Hotelling T2 chart based on (Principal Component Analysis) PCA and KPCA scores were employed and an ensemble strategy amalgamating KPCA and Self Organizing Map neural network has also been proposed for the detection of the out-of-control observations or faults. The article also proposes a 2-phase Fault Diagnosis approach christened as Preliminary Diagnosis phase and Specific Diagnosis phase. The Preliminary Diagnosis phase is based on Pattern Analysis of the control chart monitoring statistic observations and the Specific Diagnosis phase is based on the employment of appropriate Fault Diagnostic Statistic. The Preliminary Diagnosis reveals the broader source of assignable cause for the onset of the fault(s) and the Specific Diagnosis reveals the relative contribution of the individual Process and Feedstock characteristics. An in-depth comparative analysis between the NNF-PCA based strategy and KPCA based strategy w.r.t. three comparative aspects and four comparative parameters were carried out with their findings being duly highlighted which revealed the slight effectiveness of the KPCA based strategy with respect to the NNF-PCA based counterpart.
Endothelial Cullin3 Mutation Impairs Nitric Oxide-Mediated Vasodilation and Promotes Salt-Induced Hypertension
Authors: Wu Jing , Fang Shi , Lu Ko-Ting , Kumar Gaurav , Reho John J , Brozoski Daniel T , Otanwa Adokole J , Hu Chunyan , Nair Anand R , Wackman Kelsey K , Agbor Larry N , Grobe Justin L , Sigmund Curt D 
Published: April 2022

Abstract
Human hypertension caused by in-frame deletion of CULLIN3 exon-9 (Cul3∆9) is driven by renal and vascular mechanisms. We bred conditionally activatable Cul3∆9 transgenic mice with tamoxifen-inducible Tie2-CREERT2 mice to test the importance of endothelial Cul3. The resultant mice (E-Cul3∆9) trended towards elevated nighttime blood pressure (BP) correlated with increased nighttime activity, but displayed no difference in daytime BP or activity. Male and female E-Cul3∆9 mice together exhibited a decline in endothelial-dependent relaxation in carotid artery. Male but not female E-Cul3∆9 mice displayed severe endothelial dysfunction in cerebral basilar artery. There was no impairment in mesenteric artery and no difference in smooth muscle function, suggesting the effects of Cul3∆9 are arterial bed-specific and sex-dependent. Expression of Cul3∆9 in primary mouse aortic endothelial cells decreased endogenous Cul3 protein, phosphorylated (S1177) endothelial nitric oxide synthase (eNOS) and nitric oxide (NO) production. Protein phosphatase (PP) 2A, a known Cul3 substrate, dephosphorylates eNOS. Cul3∆9-induced impairment of eNOS activity was rescued by a selective PP2A inhibitor okadaic acid, but not by a PP1 inhibitor tautomycetin. Because NO deficiency contributes to salt-induced hypertension, we tested the salt-sensitivity of E-Cul3∆9 mice. While both male and female E-Cul3∆9 mice developed salt-induced hypertension and renal injury, the pressor effect of salt was greater in female mutants. The increased salt-sensitivity in female E-Cul3∆9 mice was associated with decreased renovascular relaxation and impaired natriuresis in response to a sodium load. Thus, CUL3 mutations in the endothelium may contribute to human hypertension in part through decreased endothelial NO bioavailability, renovascular dysfunction, and increased salt-sensitivity of BP.
Corticosteroid Therapy in COVID-19 Associated With In-hospital Mortality in Geriatric Patients: A Propensity Matched Cohort Study
Authors: Lidou-Renault Valentine , Baudouin Edouard , Courtois-Amiot Pauline , Bianco Celine , Esnault Hélène , Rouet Audrey , Baque Margaux , Tomeo Charlotte , Rainone Antonio , Thietart Sara , Veber Romain , Ayache Clementine , Pepin Marion , Lafuente-Lafuente Carmelo , Duron Emmanuelle , Cailleaux Pierre-Emmanuel , Haguenauer Didier , Lemarié Nadège , Paillaud Elena , Raynaud-Simon Agathe , Thomas Caroline , Boddaert Jacques , Zerah Lorène , Vallet Hélène 
Published: April 2022

Abstract

Background
Few data are available on the prognosis of older patients who received corticosteroids for COVID-19. We aimed to compare the in-hospital mortality of geriatric patients hospitalized for COVID-19 who received corticosteroids or not.

Methods
We conducted a multicentric retrospective cohort study in 15 acute COVID-19 geriatric wards in the Paris area from March to April 2020 and November 2020 to May 2021. We included all consecutive patients aged 70 years and older who were hospitalized with confirmed COVID-19 in these wards. Propensity score and multivariate analyses were used.

Results
Of the 1 579 patients included (535 received corticosteroids), the median age was 86 (interquartile range 81–91) years, 56% of patients were female, the median Charlson Comorbidity Index (CCI) was 2.6 (interquartile range 1–4), and 64% of patients were frail (Clinical Frailty Score 5–9). The propensity score analysis paired 984 patients (492 with and without corticosteroids). The in-hospital mortality was 32.3% in the matched cohort. On multivariate analysis, the probability of in-hospital mortality was increased with corticosteroid use (odds ratio [OR] = 2.61 [95% confidence interval (CI) 1.63–4.20]). Other factors associated with in-hospital mortality were age (OR = 1.04 [1.01–1.07], CCI (OR = 1.18 [1.07–1.29], activities of daily living (OR = 0.85 [0.75–0.95], oxygen saturation &lt; 90% on room air (OR = 2.15 [1.45–3.17], C-reactive protein level (OR = 2.06 [1.69–2.51], and lowest lymphocyte count (OR = 0.49 [0.38–0.63]). Among the 535 patients who received corticosteroids, 68.3% had at least one corticosteroid side effect, including delirium (32.9%), secondary infections (32.7%), and decompensated diabetes (14.4%).

Conclusions
In this multicentric matched-cohort study of geriatric patients hospitalized for COVID-19, the use of corticosteroids was significantly associated with in-hospital mortality.
Composting municipal solid waste for agriculture in Northern Ghana: Rural farmers’ willingness to pay for compost quality and access attributes
Authors: Daadi Bunbom Edward , Latacz-Lohmann Uwe 
Published: April 2022

Abstract
While farmers in rural areas of northern Ghana find it difficult to obtain sufficient organic soil amendments to keep their soil healthy, there is not enough demand for city compost factories attempting to clean cities of organic solid waste to sustain the composting rate at waste-clearing levels. In this study, 398 farmers in rural communities were surveyed in order to estimate the willingness-to-pay for different quality and access attributes of municipal solid waste (MSW) compost and examine how demand for it can be boosted among such farmers. Several specifications of the generalized multinomial logit (G-MNL) model, using farmers’ choice data, revealed that the compost quality and market access attributes surveyed in the study significantly affect farmers’ decision to buy MSW compost. The results also showed that preferences for the attributes vary widely among the farmers, mainly due to some unobserved personal factors. On average, the empirical estimates indicate that for a 50 kg compost bag, farmers are willing to pay GHS 9.43 for brand/label, GHS 5.76 for pelletized compost, GHS 4.49 for delivery in the community, and GHS 2.49 for sales when they have their cash windfall. Farmers face an average disutility of at least GHS 33.36 for deciding not to buy compost, regardless of its attributes, indicating that besides the attributes captured by the study, other factors important to farmers influence their purchase decisions. Significantly discounted prices together with improved compost quality increase the probability of compost purchase. Thus, overall the findings highlight the need to subsidize MSW compost by more than 50 per cent, to sell it in pelletized form and branded/labelled packages while making it accessible to rural farmers during their cash windfall.
Evaluating Intraocular Pressure after Myopic Photorefractive Keratectomy: A Comparison of Different Tonometers
Authors: Lanza Michele , Sbordone Sandro , Tortori Antonia , Gironi Carnevale Ugo Antonello , Melillo Paolo , Simonelli Francesca 
Published: April 2022

Precis:
All devices evaluated in this study showed a significant underestimation in intraocular pressure measurement after myopic PRK, Goldmann tonometer more than others. Corneal biomechanics indicated a different influence on the different kinds of tonometry.

Purpose:
To investigate the reliability of Goldmann applanation tonometry (GAT), rebound tonometry (RT), Ocular response analyzer (ORA), Corvis ST (CST) and dynamic contour tonometry (DCT) in intraocular pressure (IOP) evaluation after myopic PRK.

Methods:
One eye of 145 patients who underwent myopic PRK for a refractive defect ranging from – 10.25 D to −0.50 D (mean – 4.69 D±2.00 D) was included in this retrospective comparative study. A complete eye visit with corneal tomography and IOP measurement with GAT, DCT, ORA, RT and CST was performed before surgery and at 1, 3 and 6 months follow-up. Values provided by each device were tested and compared at each follow-up. Correlation analyses were run between changes in IOP and the corneal, morphological and biomechanical parameters were measured after PRK.

Results:
GAT, DCT, ORA, RT and CST showed a significant (P<0.01) underestimation of IOP at 6 months follow up. GAT showed the greatest underestimation (−14.1%) and stronger correlations with corneal deformation parameter changes, whereas ORA, DCT and RT appeared to be less conditioned by these variations. At 6 months follow-up DCT, ORA, RT and CST provided IOP values with non-significant differences compared to GAT before PRK.

Conclusions:
Each tested tonometer showed a significant IOP underestimation after myopic PRK. As this was most observed with GAT compared to all devices, we suggest DCT, ORA, RT, or CST to evaluate IOP in these patients following surgery.
Entropy change due to selection in replicator and recombinator systems with randomly chosen interaction matrix values
Authors: Tiefenbrunner W. A. 
Published: April 2022

AbstractSelection can be described as a process of information accumulation21. The present work extends this for frequency-dependent selection. For recombination, it is shown that the total entropy change can be calculated by summing the contributions of the individual gene loci in this case as well.For more complex replicator systems with and without recombination with randomly selected interaction matrix values (defining the fitness landscape), a detailed investigation is made of how the number of replicators (“genotypes”) surviving, the mean fitness, and the entropy change depend on the number of replicators initially present, on their initial frequencies, and on certain properties (symmetry: aij=aji versus aij≠aji) of the interaction matrix. Survival of several to many replicators is the norm rather than the exception. The more survive, the smaller the entropy change due to selection, although this is no longer generally true for asymmetric interaction matrices. Cases deviating from the rule were studied, but their systematic classification is still lacking. Finally, how evolution alters replicator systems of greater complexity was analyzed. It is shown that different evolutionary algorithms can lead to an increase in mean fitness and/or an increase in the number of surviving replicators. In contrast to simple replicator systems, coexistence in more complex ones apparently results naturally as a consequence of selection and evolution. It results that the view that: “Evolution is based on a fierce competition between individuals and should therefore reward only selfish behavior”16 is merely an artifact that follows from the study of unrealistically simple systems.