bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cardiac rehabilitation performance predicts 1‐year major adverse cardiovascular events
Authors: Naami Robert , Naami Edmund , Omari Tamer , Lowi Sophia Gordon , Natanzon Sharon Shalom , Patel Vivek , Lerner Addee , Rozner Ehud , Turgeman Yoav , Koren Ofir 
Published: July 2022

AbstractBackgroundCardiac Rehabilitation is an essential following major adverse cardiovascular events however there is no current data correlating rehab performance to long term outcomes.HypothesisPatient exercise performance during cardiac rehabilitation reliably predicts future cardiovascular events.MethodsWe conducted a single‐center study of 486 consecutive patients who participated in a CR program between January 2018 and August 2021. We assessed patient performance using a novel index, the CR‐score, which integrated duration, speed of work, and workload conducted on each training device (TD). We used a binary recursive partition model to determine the optimal thresholds for cumulative CR score. We used Cox regression analysis to assess the mortality rate among patients who developed MACE (“study group”) and those who did not ("control group”).ResultsAmong 486 eligible patients, 1‐year MACE occurred in 27 (5.5%) patients and was more common in patients with prior cerebrovascular accident or transient ischemic attack (14.8% vs. 3.5%, p < .001). Age, gender, comorbidities, heart failure, and medical treatment did not significantly affect the outcome. The median cumulative CR score of the study group was significantly lower than the control group (595 ± 185.6 vs. 3500 ± 1104.7, p < .0001). A cumulative CR‐score of ≥1132 correlated with the outcome (98.5% sensitivity, 99.6% specificity, 95% CI: 0.985−0.997, area 0.994, p < .0001). Patients older than 55 with a cumulative CR score of <1132 were at particularly high risk (OR: 7.4, 95% CI: 2.84−18.42) for 1‐year MACE (log‐rank p = .03).ConclusionOur proposed CR‐score accurately identifies patients at high risk for 1‐year MACE following the rehabilitation program. Multicenter validation is required.
Gray wolf‐student psychology optimization‐based deep long short term memory for survival prediction using cancer gene‐expression data
Authors: Prabhakar Telagarapu , Vairamuthu Subbiah , Rani Balasubramaniam Selva , Maram Balajee 
Published: July 2022

SummaryOncology treatment accuracy relies on providing information from a variety of sources to have a accurate assessment of a patient's health status and prediction. With the advancement in medical field, accurate prediction allows prescription of more effective treatments and customized medical services to individual patient's. Next generation sequencing has put pressure on cancer researchers in recent years by giving doctors access to vast amounts of data from RNA‐seq high‐throughput fields. Effectual survival prediction can save patient's life from threatening at earlier stage. In addition, traditional techniques of gene expression datasets failed to trade off balance among huge genes and low number of samples available, thereby resulting low level of survival prediction rate. Therefore, this research proposes an efficient model for survival prediction of cancer patients using proposed gray wolf‐student psychology optimization‐based deep long short term memory (GW‐SPO based deep LSTM). The proposed GW‐SPO is derived by incorporating gray wolf optimization (GWO) and student psychology based optimization (SPBO). However, survival prediction is performed effectively using deep LSTM and network classifier is trained using proposed GW‐SPO. Nevertheless, proposed GW‐SPO has achieved superior results with minimum RMSE of 0.325, and minimum prediction error of 0.110 for analysis with cluster size of 5.
Factors Affecting the Electrochemical Behaviors of Graphene‐Like Graphite as a Positive Electrode of a Dual‐Ion Battery
Authors: Matsuo Yoshiaki , Sekito Kazuhiro , Ashida Yusuke , Inamoto Junichi , Tamura Noriyuki 
Published: July 2022

AbstractCharge–discharge behaviors of various graphene‐like graphite (GLG) samples have been investigated, and factors affecting them were discussed. By changing the oxidation method of graphite to obtain the precursor material of graphite oxide and heat treatment temperature of it, GLG samples with various structural parameters were successfully prepared. The onset potential of intercalation changed mainly depending on the interlayer spacing and decreased with its increase. The oxygen content was also important especially for GLG with smaller interlayer spacings. The influence of oxygen became apparent when the intercalation of bis(fluorosulfonyl)amide ions was performed. The onset potential considerably decreased for GLG with larger oxygen contents. The capacity of GLG increased with the increase in oxygen content to reach a maximum value of 149 mAh g−1 and then slightly decreased.
Bioactive adrenomedullin for assessment of venous congestion in heart failure
Authors: Egerstedt Anna , Czuba Tomasz , Bronton Kevin , Lejonberg Carl , Ruge Thoralph , Wessman Torgny , Rådegran Göran , Schulte Janin , Hartmann Oliver , Melander Olle , Smith J. Gustav 
Published: July 2022

AbstractAimsBioactive adrenomedullin (bio‐ADM) is a vascular‐derived peptide hormone that has emerged as a promising biomarker for assessment of congestion in decompensated heart failure (HF). We aimed to evaluate diagnostic and prognostic performance of bio‐ADM for HF in comparison to amino‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP), with decision thresholds derived from invasive haemodynamic and population‐based studies.Methods and resultsNormal reference ranges for bio‐ADM were derived from a community‐based cohort (n = 5060). Correlations with haemodynamic data were explored in a cohort of HF patients undergoing right heart catheterization (n = 346). Mortality and decision cutoffs for bio‐ADM was explored in a cohort of patients presenting in the ER with acute dyspnoea (n = 1534), including patients with decompensated HF (n = 570). The normal reference range was 8–39 pg/mL. The area under the receiver operating characteristic curve (AUROC) for discrimination of elevated mean right atrial pressure (mRAP) and pulmonary arterial wedge pressure (PAWP) was 0.74 (95% CI = 0.67–0.79) and 0.70 (95% CI = 0.64–0.75), respectively, with optimal bio‐ADM decision cutoff of 39 pg/mL, concordant with cubic spline analyses. NT‐proBNP discriminated PAWP slightly better than mRAP (AUROC 0.73 [95% CI = 0.68–0.79] and 0.68 [95% CI = 0.61–0.75]). Bio‐ADM correlated with (mRAP, r = 0.55) while NT‐proBNP correlated with PAWP. Finally, a bio‐ADM decision cutoff of 39 pg/mL associated with 30 and 90 day mortality and conferred a two‐fold increased odds of HF diagnosis, independently from NT‐proBNP.ConclusionsBio‐ADM tracks with mRAP and associates with measures of systemic congestion and with mortality in decompensated HF independently from NT‐proBNP. Our findings support utility of bio‐ADM as a biomarker of systemic venous congestion in HF and nominate a decision threshold.
HPV type‐specific trends in cervical precancers in the United States, 2008 to 2016
Authors: Gargano Julia W. , McClung Nancy , Lewis Rayleen M. , Park Ina U. , Whitney Erin , Castilho Jessica L. , Pemmaraju Manideepthi , Niccolai Linda M. , Brackney Monica , DeBess Emilio , Ehlers Sara , Bennett Nancy M. , Scahill Mary , Cleveland Angela A. , Querec Troy D. , Unger Elizabeth R. , Markowitz Lauri E. ,   HPV‐IMPACT Working Group
Published: July 2022

AbstractDeclines in cervical intraepithelial neoplasia grades 2 to 3 and adenocarcinoma in situ (CIN2+) observed among young women suggest impact from human papillomavirus (HPV) vaccination. To further evaluate vaccine impact including cross‐protection and type replacement, we described high‐risk (HR)‐HPV type‐specific cervical precancer incidence rates among women aged 20 to 39 years, 2008 to 2016. We analyzed cross‐sectional population‐based data on 18 344 cases of CIN2+ from a 5‐site surveillance system. Diagnostic specimens were tested for individual HPV types, including 14 HR‐HPV types (HPV16/18/31/33/35/39/45/51/52/56/58/59/66/68). We estimated age‐specific annual HR‐HPV type‐specific CIN2+ incidence per 100 000 screened women for individual types, vaccine HR‐HPV types (HPV16/18) and nonvaccine HR‐HPV types (non‐HPV16/18). We evaluated trends using average annual percent changes (AAPC) and 95% confidence intervals (CI), and estimated total declines by comparing 2015‐2016 to 2008‐2009 using incidence rate ratios. Among 20‐24‐year‐olds, HPV16/18‐CIN2+ declined from 2008 through 2016 (AAPC: −21.3%, 95% CI: −28.1%, −13.8%), whereas no trend was observed for non‐HPV16/18‐CIN2+ (AAPC: −1.8%, 95% CI: −8.1%, 4.9%). After 2010, CIN2+ among 20‐24‐year‐olds was more often caused by nonvaccine vs vaccine HR‐HPV types. No significant declining trends were observed in older age groups. In 2015‐2016 compared with 2008‐2009, HPV16‐CIN2+ declined 78%, HPV18‐CIN2+ 72% and HPV31‐CIN2+ 51% among 20‐24‐year‐olds; no increases were observed in type‐specific CIN2+ incidence. Among 25‐29‐year‐olds, HPV16‐CIN2+ declined 18%; CIN2+ attributed to seven nonvaccine types increased significantly. No significant declines were observed in older groups. Significant declines in HPV16/18‐CIN2+ in 20‐24‐year‐olds and HPV16‐CIN2+ in 25‐29‐year‐olds corroborate impact of HPV vaccination. A declining trend in HPV31‐CIN2+ is consistent with cross‐protection from vaccination.
Granulocyte colony‐stimulating factor has a sex‐dependent positive effect in the maternal immune activation‐induced autism model
Authors: Durankuş Ferit , Albayrak Yakup , Erdoğan Fırat , Albayrak Neslihan , Erdoğan Mümin Alper , Erbaş Oytun 
Published: July 2022

AbstractObjectiveThe medical intervention for autism spectrum disorder (ASD) is restricted to ameliorating comorbid situations. Granulocyte colony‐stimulating factor (G‐CSF) is a growth factor that enhances the proliferation, differentiation, and survival of hematopoietic progenitor cells. In the present study, we aimed to investigate the effects of G‐CSF in a maternal immune activation‐induced autism model.MethodsSixteen female and six male Wistar adult rats were included in the study. After 21 days, 48 littermates (eight male controls, eight female controls, 16 male lipopolysaccharide [LPS]‐exposed rats, and 16 female LPS‐exposed rats) were divided into groups. Sixteen male LPS‐exposed and 16 female LPS‐exposed rats were divided into saline and G‐CSF treatment groups.ResultsIn male rats, the LPS‐exposed group was found to have significantly higher levels of TNF‐α, IL‐2, and IL‐17 than the LPS‐exposed G‐CSF group. Levels of nerve growth factor, brain PSD‐95, and brain GAD67 were higher in the LPS‐exposed G‐CSF group than in the LPS‐exposed group in male rats. In female rats, brain NGF levels were similar between groups. There was no difference between groups in terms of brain GAD 67 levels. Brain PSD‐95 levels were higher in the control group than in both the LPS‐exposed and LPS‐exposed G‐CSF groups in female rats. Both neuronal CA1 and neuronal CA2 levels were lower, and the GFAP immunostaining index (CA1) and GFAP immunostaining index (CA3) were higher in the LPS‐exposed group than in the LPS‐exposed G‐CSF group in male rats. However, neuronal count CA1 and neuronal count CA3 values were found to be similar between groups in female rats.ConclusionsThe present research is the first to demonstrate the beneficial effects of G‐CSF on core symptoms of ASD experimentally depending on male sex. G‐CSF can be a good candidate for ameliorating the core symptoms of ASD without serious side effects in males.
Erosion mechanism of austenitic steel and martensitic steel in aluminum alloy melt
Authors: Bai Zhixiong , Su Ning , Yang Hang , Wu Xiaochun 
Published: July 2022

AbstractDue to the washout of aluminum alloy melt, the erosion failure of steel is a complex problem in die casting. To explain the erosion mechanism in flowing aluminum alloy melt, 6Mn14Cr3Mo2Si1V2 steel, and 4Cr5Mo2V steel were stirred at 700°C in ADC12 melt. The erosion characteristics were studied via the scanning electron microscope. At the test time increased from 600 to 1800 s, the weight loss rate of 6Mn14Cr3Mo2Si1V2 steel increased from 5.0% to 14.1%, and the weight loss rate of 4Cr5Mo2V steel increased from 5.4% to 12.8%. If the corrosion time reaches more than 1200 s, 6Mn14Cr3Mo2Si1V2 steel has lower erosion resistance because intergranular corrosion causes the matrix to peel off. Besides, the lump‐like Vanadium carbides with a low erosion rate act as obstacles to prevent the invasion of aluminum alloy melt. The reaction product of steel and aluminum alloy melt is identified as Fe2Al8Si. Fe2Al8Si is easier to form in 4Cr5Mo2V steel than in 6Mn14Cr3Mo2Si1V2 steel. The growth activation energy of Fe2Al8Si in 6Mn14Cr3Mo2Si1V2 steel and 4Cr5Mo2V steel is 89.2 and 71.3 kJ/mol, respectively.
The normal force evolution of the substrate during the withdrawal process
Authors: Zhang Heng‐Kuan , Yin Ya‐Ran , Pan Xu‐Qi , Zhang Xian‐Ming , Chen Wen‐Xing , Hu Guo‐Hua 
Published: July 2022

AbstractThe evolution of normal force on the smooth plate immersed in Newtonian and yield stress fluids was investigated during the dip coating. The influences of withdrawal velocity, liquid rheological property, and plate roughness were elaborated. For all fluids, the variation of force versus the withdrawing height was divided into four stages. Importantly, the control forces for coating in each stage were determined, which are in turn viscous force‐capillary, viscous force‐gravity, capillary‐viscous force, and gravity. The critical value of normal force controlled from capillary to viscous effect during drainage was adopted to calculate the surface tension. The possibility of measuring the surface tension was verified under the negligible interference of viscous effect and film instability through a detailed analysis on the evolution of force in a series of tests. Accordingly, the applicable conditions with the low withdrawal speed, high viscosity, and rough surface were finally achieved. This work can provide a theoretical basis for the film‐formation mechanism and surface tension measurement in dip coating.
The effect of substance P and its common in vivo‐formed metabolites on MRGPRX2 and human mast cell activation
Authors: Hsin Lin , Fernandopulle Nithya A. , Ding Jie , Lumb Chris , Veldhuis Nicholas , Karas John A. , Northfield Susan E. , Mackay Graham A. 
Published: July 2022

AbstractThe tachykinin neuropeptide substance P (SP) is the canonical agonist peptide for the neurokinin 1 receptor (NK1R). More recently, it has also been shown to activate the Mas‐related G protein‐coupled receptor X2 (MRGPRX2) receptor on mast cells (MCs), triggering degranulation and release of inflammatory mediators. SP undergoes rapid C‐terminal truncation in vivo by a number of proteases to generate the metabolites SP(1–9)‐COOH and in particular SP(1–7)‐COOH. While the C terminus of SP is critical for NK1R activation, studies have shown that the peptide polycationic N terminus is key for MRGPRX2 and mast cell activation. The study thus aimed to determine if the C‐terminally truncated metabolites of SP, SP(1–9)‐COOH, and SP(1–7)‐COOH retained stimulatory activity at MRGPRX2. SP, SP(1–9)‐COOH, and SP(1–7)‐COOH were synthesized and tested on HEK293 cells expressing NK1R or MRGPRX2, and LAD2 human mast cells, to determine the activity of SP and its metabolites in Ca2+ mobilization, degranulation, and cytokine assays. As expected from prior studies, both C‐terminally truncated SP metabolites had essentially no activity at NK1R, even at very high concentrations. In contrast, the in vivo metabolite of SP, SP(1–9)‐COOH retained ability to activate MRGPRX2 across all parameters tested, albeit with reduced potency compared to intact SP. SP(1–7)‐COOH did not produce any significant MRGRPX2 activation. Our results suggest that the SP metabolite, SP(1–9)‐COOH, may play a regulatory role through the activation of MRGPRX2. However, given the relatively low potency of both SP and SP(1–9)‐COOH at MRGPRX2, additional work is needed to better understand the biological importance of this expanded SP/MRGPRX2 pathway.
The full‐dimensional potential energy surface of He2H− using fundamental invariant neural network method
Authors: Bai Yuyao , Fu Yan‐Lin , Wang Gao‐Ren , Fu Bina , Han Yong‐Chang 
Published: July 2022

AbstractSo far, numerous researches on the He2H− system have still been restricted to several analytical forms of the potential energy interaction, where the calculations in the three‐body interaction may be not precise. With that in mind, we have provided an accurate, global, full‐dimensional potential energy surface (PES) for the ground state of the He2H− system by the fundamental invariant neural network (FI‐NN) fitting based on roughly 45 000 ab initio data points. The energy points are calculated with the coupled‐cluster singles and doubles with perturbative triples (CCSD[T]) method using the augmented Dunning‐type correlation‐consistent (aug‐cc‐pVTZ, aug‐cc‐pVQZ and aug‐cc‐pV5Z) basis sets, respectively. Based on adoption and comparison of three different extrapolation formulas, we obtained even accurate data points, which are extrapolated to the complete basis set (CBS) limit. The overall root mean square error of the fitting PES is only about 6.314 × 10−3 cm−1. It can be expected that this accurate PES would provide insights to further interesting discoveries in dynamics or spectroscopies for the relevant molecular systems.
Getting to practical: Complementarity between critical systems thinking and phronetic social science
Authors: Nicholas Graeme 
Published: July 2022

AbstractFrustration among systems thinking practitioners and academics surfaces from time to time at the apparently limited real‐world influence of systems methodologies and frameworks. Critical systems thinking (CST), in particular, faces many of the challenges common to qualitative research and has the additional challenge that its principal modality is to offer ways of conceptualising. This paper argues that recent explorations of phronetic social science (PSS) provide a useful conceptual frame to discuss and enhance the value of CST. We outline some characteristics of phronetic models and how to conceive and evaluate systemically informed phronetic models. By way of illustration, the paper describes the phronetic framing of two practical tools to support collaborative practice, each built on existing systemic models. Finally, we discuss the potential value of informing PSS with insights drawn from CST, and CST with insights drawn from the emerging field of PSS.
A Bayesian random regression method using mixture priors for genome‐enabled analysis of time‐series high‐throughput phenotyping data
Authors: Qu Jiayi , Morota Gota , Cheng Hao 
Published: July 2022

AbstractThe recent advancement in image‐based phenotyping platforms enables the acquisition of large‐scale nondestructive crop phenotypes measured at frequent intervals. To further understand the underlying genetic basis over a physiological process and improve plant breeding programs, the question of how to efficiently utilize these time‐series measurements in genome‐enabled analysis including genomic prediction and genome‐wide association studies (GWASs) should be considered. In this paper, a Bayesian random regression model with mixture priors is developed to introduce more meaningful biological assumptions to the analysis of longitudinal traits. The mixture prior for marker effects in Bayes Cπ is implemented in our developed model (RR‐BayesC) for demonstration purpose. The estimation of single‐nucleotide polymorphism–specific effects that are related to the dynamic performance of crops and the accuracy of genomic prediction by RR‐BayesC were studied through both simulated and real rice (Oryza sativa L.) data. For genomic prediction, three predictive scenarios were studied. In the simulated study, RR‐BayesC showed a significantly higher prediction accuracy than that obtained by single‐trait analysis, especially for days when heritability were low. In real data analysis, RR‐BayesC showed relatively high prediction accuracy when forecast is required for phenotypes at later period (e.g., from 0.94 to 0.98 for lines with observations at an earlier period and from 0.65 to 0.67 for lines without any observations). For GWASs, inference of single markers and inference of genomic windows were conducted. In the simulated study, RR‐BayesC showed its promising ability to distinguish quantitative trait loci (QTL) that are invariant to temporal covariates and QTL that interact with time. An association study of real data was also presented to demonstrate the application of RR‐BayesC in real data analysis. In this paper, we develop a Bayesian random regression model that is able to incorporate mixture priors to marker effects and show improved performance of genomic prediction and GWASs for longitudinal data analysis based on both simulated and real data. The software tool JWAS offers routines to perform our proposed random regression analysis.
A Generalization of a Question Asked by B. H. Neumann
Authors: Lucchini Andrea 
Published: July 2022

AbstractLet $$w \in F_2$$

w
∈

F
2

be a word and let m and n be two positive integers. We say that a finite group G has the $$w_{m,n}$$

w

m
,
n

-property if however a set M of m elements and a set N of n elements of the group is chosen, there exist at least one element $$x \in M$$

x
∈
M

and at least one element $$y \in N$$

y
∈
N

such that $$w(x,y)=1.$$

w
(
x
,
y
)
=
1
.

Assume that there exists a constant $$\gamma < 1$$

γ
<
1

such that whenever w is not the identity in a finite group X, then the probability that $$w(x_1,x_2)=1$$

w
(

x
1

,

x
2

)
=
1

in X is at most $$\gamma .$$

γ
.

If $$m\le n$$

m
≤
n

and G satisfies the $$w_{m,n}$$

w

m
,
n

-property, then either w is the identity in G or |G| is bounded in terms of $$\gamma , m$$

γ
,
m

and n. We apply this result to the 2-Engel word.
Obstruktives Defäkationssyndrom
Authors: Dawoud Christopher , Argeny Stanislaus , Harpain Felix , Riss Stefan 
Published: July 2022

ZusammenfassungDas obstruktive Defäkationssyndrom (ODS) ist eine Form der Verstopfung, die mit einer Stuhlentleerungsstörung verbunden ist. Das Krankheitsbild ist noch nicht vollständig verstanden, dementsprechend ist die Evidenz zur Pathogenese und Therapie limitiert. Prinzipiell werden funktionelle Ursachen, wie der Anismus oder das Puborektalissyndrom, von anatomischen Ursachen unterschieden. Häufige mechanische Hindernisse sind die Rektozele oder eine Intussuszeption, die zu einer erschwerten Defäkation führen können. Zur Auswahl der passenden Therapie ist entscheidend, die kausale Ursache festzustellen. Konservative Behandlungsversuche sollten primär angewendet werden und umfassen unter anderem das Beckenbodentraining, die Biofeedbacktherapie, den Einsatz von Laxanzien oder die anale Irrigation. Es gibt eine große Zahl chirurgischer Therapieoptionen mit unterschiedlichen Vor- und Nachteilen. Gute Fachkenntnis und Erfahrung sind entscheidend, um die geeignete Therapie für den Betroffenen auszuwählen.