bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validity and reliability of the Arabic version of the HLS-EU-Q16 and HLS-EU-Q6 questionnaires
Authors: Bergman Lina , Nilsson Ulrica , Dahlberg Karuna , Jaensson Maria , Wångdahl Josefin 
Published: November 2022

Abstract
Background: Health literacy is an important social determinant of health and affects the ability to make decisions and take action to manage one’s health. The purpose of this study was to psychometrically examine the Arabic versions of HLS-EU-Q16 and HLS-EU-Q6 and their response patterns among Arabic-speaking persons in Sweden.
Methods: By convenience sampling from a variety of settings, a total of 335 participants were invited to participate. The participants completed a self-assessment of comprehensive health literacy by answering the Ar-HLS-EU-Q16 questionnaire, also including the six items for Ar-HLS-EU-Q6. Statistical analysis was guided by The COnsensus-based Standards for the selection of health Measurement Instruments. Floor/ceiling effects, construct and criterion validity, test-retest reliability and internal consistency reliability were analysed.
Results: In total, 320 participants were included in the psychometric evaluation. Mean age was 42.1 (SD 12.5), 63 % (n=199) were females and 53% (n=169) had at least 10 years of education. No floor or ceiling effect were found for the Ar-HLS-EU-Q16 or Ar-HLS-EU-Q6.
For both instruments, construct validity was confirmed in four out of five expected correlations (weak positive correlation to educational level, self-perceived health, and years in Sweden; moderate positive correlation with higher sum score on the Arabic electronic health literacy scale, and strong positive correlation to higher Ar-HLS-EU-Q16/Ar-HLS-EU-Q6). Criterion validity showed poor agreement between the two questionnaires with a Cohen κ 0.58 (p<0.001). Test-retest reliability showed a substantial agreement, Cohen's κ for Ar-HLS-EU-Q16 and Ar-HLS-EU-Q6 were both 0.89. The internal consistency of both versions was acceptable, Cronbach alpha for Arabic-HLS-EU-Q16 was 0.91 and for Arabic-HLS-EU-Q6, 0.79. Split-half reliability was 0.95 and 0.78, respectively.
Conclusion: The Arabic version of HLS-EU-Q16 shows good psychometric properties, validated in a Swedish setting. The findings can further inform and guide future validation studies in other settings worldwide. Furthermore, the results of the present study did not support criterion validity of Ar-HLS-EU-Q6.
Sorcin promotes migration and invasion in cancer by regulating the EGF-dependent EGFR signaling pathways
Authors: Tito Claudia , Genovese Ilaria , Giamogante Flavia , Benedetti Anna , Miglietta Selenia , Barazzuol Lucia , Cristiano Loredana , Carolini Sabatino , De Angelis Luciana , Masciarelli Silvia , Nottola Stefania Annarita , Familiari Giuseppe , Petrozza Vincenzo , Lauriola Mattia , Tamagnone Luca , Ilari Andrea , Calì Tito , Colotti Gianni , FAZI Francesco 
Published: November 2022

Abstract
The epidermal growth factor receptor (EGFR) is one of the main tumor drivers, and is an important therapeutic target for many cancers. Calcium is important in EGFR internalization and in EGFR signaling pathways. Sorcin is one of the most important calcium sensor proteins, overexpressed in many tumors, that promotes cell proliferation, migration, invasion, epithelial-to-mesenchymal transition, malignant progression and resistance to chemotherapeutic drugs. The present work elucidates an important mechanism that links calcium homeostasis to EGFR signaling in cancer. Sorcin and EGFR overexpression are significantly correlated in cancer patients. Sorcin directly binds EGFR in a calcium-dependent fashion and regulates calcium (dys)homeostasis linked to EGF-dependent EGFR signaling. Sorcin controls EGFR signaling, increases its recycling, activates the PI3K/AKT signaling cascade, and controls the RAS/ERK cascade, participating in the regulation of cellular migration and invasion. Sorcin expression leads to increased cell migration, invasion and EMT, via PI3K/AKT signaling; Sorcin silencing reverses these cancer features, synergistically with EGFR inhibitors.
Identifiability of Enzyme Kinetic Parameters in Substrate Competition: A case study of CD39/ENTPD1
Authors: McGuinness Anna , Tahir Aman , Sutton Nadia , Marquis Andrew D. 
Published: November 2022

Abstract
CD39 (ENTPD1 - ectonucleoside triphosphate diphosphohydrolase 1) is a membrane-tethered ectonucleotidase that hydrolyzes extracellular ATP to ADP and ADP to AMP. This enzyme is expressed in a variety of cell types and tissues and has broadly been recognized within vascular tissue to have a protective role in converting “danger” ligands (ATP) into neutral or “protective” ligands (AMP, adenosine). In this study, we investigate the enzyme kinetics of CD39 using a Michaelis-Menten modeling framework. We show how the unique situation of having a reaction product also serving as a substrate (ADP) complicates the determination of the governing kinetic parameters. Model simulations using values for the kinetic parameters reported in the literature do not align with corresponding time-series data. This dissonance is explained by CD39 kinetic parameters previously being determined by graphical/linearization methods, which have been shown to distort the underlying error structure and lead to inaccurate parameter estimates. Modern methods of estimating these kinetic parameters using non-linear least squares is still challenging due to unidentifiable parameter interactions. We propose a workflow to accurately determine these parameters by isolating the ADPase and ATPase reactions and estimating the respective ADPase parameters and ATPase parameters with independent data sets. Theoretically, this ensures all kinetic parameters are identifiable and reliable for future prospective model simulations involving CD39. These kinds of mathematical models can be used to understand how circulating purinergic nucleotides affect disease etiology and potentially inform the development of corresponding therapies.
Improving Mediator-based Information Integration to Resolve Syntactic Heterogeneity
Authors: Abid Muhammad Ali , Amin Farhan , Zeeshan Muhammad 
Published: November 2022

Abstract
An emerging approach that addresses data heterogeneity challenges is the mediator-based architecture allowing transparent access to the data stored in many sources. Due to the growing diversity of data sources, the data integration process becomes a performance and administrative bottleneck. When dealing with decentralized heterogeneous data sources, the mediator-based technique is typically used to integrate the data. It describes a collection of applications that follow a number of data sources. The importance of analyzing and synthesizing the collected data has lately increased for academics researching autonomous and heterogeneous software systems. This study uses a mediator-based information integration model to improve pattern-based reasoning and overcome grammatical problems with integrating diverse information from web sources (IATs). The main goal of this study is to improve the mediator design for usage in the mediator-based information integration paradigm in order to address the problems caused by syntactic heterogeneity. Using our recommended methodology and enhancement strategy, the proposed technique would choose the pertinent domain from a variety of vendor-related data sources and antiquated file systems and deliver the necessary information set from heterogeneous data sources. Our suggested extended design functions well in the online bookstore as well, where there are several data sources and antiquated file systems. Future applications of this research include providing a thorough syntactic method that must be used to integrate data from various sources within the same organization into any Executive Support System (ESS).
Primary Cardiac Angiosarcoma With Pulmonary Metastasis in a Young Female: A Case Report and Review of Literature
Authors: Kordjazy Nastaran , Taheri Piroozeh , Parkhideh Roya , Nakhaee Akram , Badkoubeh Roya Sattarzadeh , Naseri Azadeh Sadat , Foroumandi Morteza , Najafi Atabak , Mojtahedzadeh Mojtaba , Shahrami Bita 
Published: November 2022

Abstract

Background: Sarcomas are the most prevalent type of malignant primary cardiac tumor. Clinical presentation differs according to the size and location of the tumor and involvement of other structures.Case presentation:In this article, we present a 38 years old lady as a case of primary cardiac angiosarcoma with a huge challenge in diagnosis and management of the disease. On the 4thof June 2020, she emergently presented to the hospital with the chief complaint of cough and tachypnea, diarrhea, and malaise, and a history of blunt chest trauma three weeks ago. Based on the presentation and transthoracic echocardiography which was compatible with cardiac tamponade, emergent pericardiocentesis was performed. The first imaging showed bilateral pleural effusion, pericardial effusion, and no significant parenchymal lung involvement, which was not compatible with rheumatologic diseases or COVID-19. Based on cardiac CT angiography and evidence of dye entrance to the peri-right atrial area, right atrial free wall rupture was suspected as the cause of the massive pericardial effusion. Following multidisciplinary consensus, she underwent cardiac surgery; in addition to the 3*3 cm right atrium free wall rupture repair, concomitant sampling from the lung nodules, lymph nodes, pericardium, and also the surrounding tissue of the right atrium ruptured defect was performed. Based on immunohistochemistry, the diagnosis was compatible with cardiac angiosarcoma with metastasis to the lung. Due to the advanced stage of the tumor, oncologists advised against chemotherapy or radiotherapy and she went through palliative care. Finally, after a 53-day ICU stay and due to right-sided heart failure, the patient unfortunately died.Conclusion: COVID-19 pandemic has brought diagnostic challenges regarding differentiating SARS-CoV-2 infection from other diagnostic entities. On the other hand, due to the rarity and fatality of primary cardiac angiosarcomas, early diagnosis and possible management seem crucial for prolonged survival. Involving cardiac angiosarcoma in the initial differential diagnosis could warrant timely diagnosis and assessment of various therapies for cure or palliative care.
Plasmonic Slot Waveguide Propagation Analysis
Authors: Pati Amrita , Gordon Reuven 
Published: November 2022

Abstract
Plasmonic slot waveguides provide extreme light confinement with the benefits of having naturally present electrodes for switching and high thermal conductivity of the metal layers to remove excess heat. Past works relied on numerical computation for these structures, which is time-consuming and lacks physical insight. Here we present an analytical model of plasmonic slot waveguides to determine the modal properties based on single-mode matching to continuum. The model is accurate to within 3% of rigorous numerical simulations. The theory provides rapid design and physical insight into mode propagation in plasmonic slot waveguides for information processing, optical manipulation, and sensing applications.
Euthymia scale as a predictor of depressive symptoms: a one-year follow-up longitudinal study
Authors: Sasaki Natsu , Nishi Daisuke 
Published: November 2022

Abstract
Objectives: This study aimed to examine whether a high score on the euthymia scale (ES) predicts a low incidence of depressive symptoms one year later.
Methods: The baseline online survey was conducted in February 2020, and a follow-up survey was done in February 2021. Japanese over 20 years old were enrolled. Respondents who answered both baseline and follow-up, and without depressive symptoms at baseline were included in the analysis. The euthymia scores at baseline was measured by the 10 items of the Japanese version of the ES. Depressive symptoms at follow-up were determined if participants showed either depressive feelings or anhedonia. The odds ratio (OR) was calculated using multivariate logistic regression analysis, adjusting for age, gender, marital status, educational attainment, and clinical visit for depressive episode before the baseline survey.
Results: The total of 624 participants were analyzed. A total of n=63 (10.1%) presented depressive symptom at follow-up. A high ES score significantly predicted a lower incidence of depressive symptoms, after adjusting for covariates (aOR=0.81 [95% confidence interval: 0.72 – 0.89]). Using the cutoff score retrieved from this data, a high ES score (7 or more) showed the same tendency, compared to a low ES score (< 7) (aOR=0.46 [0.25 – 0.83]).
Conclusions: This study suggests the predictive usefulness of euthymia for subsequent depressive symptoms. Further investigation is needed by employing rigid diagnostic criteria.
Rheological property for nutrients prediction of Korla pear
Authors: Wang Jiaping , Wang Chao , Mo Xiaoming , Wu Jie 
Published: November 2022

Abstract
This study aimed to investigate the feasibility of predicting nutrients of Korla pear using stress relaxation and creep parameters. Creep-recovery test and stress relaxation test were performed on the pear using a TA-XT plus Texture Analyzer. Creep and stress relaxation properties of pear were characterized by a generalized Kelvin-Voigt model (six elements) and Maxwell model (seven elements), with coefficients of determination R2 of 0.992 and 0.998, respectively. The partial rheological parameters of the two models were significantly correlated with total soluble solid (TSS), titratable acidity (TA) and solid acid ratio (RTT) of pear(p < 0.05). Hence, the constructed stepwise multiple linear regression models can effectively predict three nutrients (correlation coefficient r of prediction model > 0.7). The RMSE value of each nutrients prediction model based on the creep parameters was smaller than that of the prediction models based on the stress relaxation parameters. Therefore, the models constructed using creep parameters are more stable and reliable for predicting the nutrients of Korla pear.
Material classification using basis material decomposition from spectral x-ray CT
Authors: Jumanazarov Doniyor , Alimova Asalkhon , Poulsen Henning F. , Olsen Ulrik L. , IOVEA Mihai 
Published: November 2022

Abstract
Purpose: Spectral CT exploits advanced MultiX ME 100 photon counting detectors (PCD) to measure a material’s spectrally resolved linear attenuation coefficient (LAC) with the simultaneous spectral acquisition at multiple energy thresholds. We present a method for material classification using spectral x-ray Computed Tomography (CT).
Methods: The method employs a basis material decomposition model and estimates the effective atomic number (Zeff ) from the spectral LAC measurements. Basis material decomposition builds on the fact that the LAC of any material can be well approximated by a linear combination of equivalent thicknesses of basis materials, with known and typically Zeff values at the extremes of the relevant Zeff range. Spectral distortions of the energy spectrum due to the physical interactions between photons and the multi-energy-bin PCD such as charge sharing and photon pileup are corrected by a spectral correction algorithm. The validation of the method has been performed with experimental data acquired with a custom laboratory instrument for spectral CT, examining “real life” phantoms with materials in the range of 6 ≤ Zeff ≤ 15.
Results: With optimized parameters the data was collected from 12 projections and rebinned from 128 into 15 energy bins, two basis materials were used for the decomposition. In that case the classification method gives a relative deviation of 2.4% for Zeff , while this deviation is 5.2% when spectral correction is not used.
Conclusion: The classification method is now ready for use in security screening where modern spectral CT systems are employed.
The impact of C-reactive protein-to-albumin ratio on mortality in patients with acute kidney injury requiring continuous renal replacement therapy: A multicenter retrospective study
Authors: Jeon You Hyun , Lee Sung Woo , Jeon Yena , Choi Ji-Young , Cho Jang-Hee , Jung Jiyun , Lee Jangwook , Park Jae Yoon , Kim Yong Chul , Ban Tae Hyun , Park Woo Yeong , Kim Kipyo , Kim Hyosang , Kim Kyeong Min , Lim Jeong-Hoon , Jung Hee-Yeon , Park Sun-Hee , Kim Chan-Duck , Kim Yong-Lim 
Published: November 2022

Abstract

The C-reactive protein-to-albumin ratio (CAR) is a prognostic marker in various diseases that represents patients’ inflammation and nutritional status. We investigated the prognostic value of CAR in critically ill patients with severe acute kidney injury (AKI) requiring continuous renal replacement therapy (CRRT). We retrospectively collected data from eight hospitals in Korea. The patients were divided into quartiles according to CAR levels at the time of CRRT initiation. Cox regression analyses were performed to investigate the effect of CAR on in-hospital mortality. Among 3995 patients who underwent CRRT, the in-hospital mortality rate was 67.3% during the follow-up period. The 7-day, 30-day, and in-hospital mortality rates increased toward higher CAR quartiles. After adjusting for confounding variables, the higher quartile groups had an increased risk of in-hospital mortality (quartile 3: aHR, 1.15, 95% CI, 1.02–1.30, P=0.023; quartile 4: aHR, 1.33; 95% CI, 1.18–1.50, P<0.001). CAR combined with APACHE II or SOFA scores significantly increased the predictive power compared to each severity score alone for the area under the curve, net reclassification improvement, and integrated discrimination improvement. A high CAR is associated with increased in-hospital mortality in critically ill patients requiring CRRT. The combined use of CAR and severity scores provides better predictive performance for mortality than the severity score alone.
m6A regulator-mediated RNA methylation modification patterns are involved in immune microenvironment regulation of ischaemic cardiomyopathy
Authors: Zheng Peng-Fei , Hong Xiu-Qin , Liu Zheng-Yu , Zheng Zhao-Fen , Chen Lu-Zhu , Liu Peng 
Published: November 2022

Abstract
The RNA N6-methyladenosine (m6A) modification pattern plays a key role in immunity. However, the role of m6A in the regulation of the immune microenvironment in ischaemic cardiomyopathy (ICM) remains unclear. This study first identified differential m6A regulators between ICM and normal samples and then systematically evaluated the RNA modification patterns mediated by differential m6A regulators in 118 ICM samples. Specifically, the effect of m6A modification on the characteristics of the immune microenvironment in ICM was explored, including infiltrating immune cells, human leukocyte antigen (HLA) genes and HALLMARKS pathways. A total of seven key m6A regulators were identified by the random forest classifier. Compared with healthy samples, one m6A regulator, WTAP, was downregulated, and a total of 6 m6A regulators, ZCH3H13, YTHDC1, FMR1, FTO, RBM15 and YTHDF3, were upregulated in ICM samples. A diagnostic nomogram based on these seven key m6A regulators can effectively distinguish patients with ICM from healthy subjects. Two distinct RNA modification patterns (m6A cluster-A and -B) mediated by 7 key m6A regulators were identified. The cell infiltration patterns and the expression of 16 HLA genes were significantly different between the m6A cluster-A and m6A cluster-B groups. The m6A regulators YTHDF3, FMR1, ZC3H13 and RBM15 were significantly correlated with several immune cells. Moreover, differential HALLMARKS signalling pathways between the m6A cluster-A and m6A cluster-B groups were also identified. The current research suggests that m6A modification plays a key role in the complexity and diversity of the immune microenvironment of ICM. Seven key m6A regulators, WTAP, ZCH3H13, YTHDC1, FMR1, FTO, RBM15 and YTHDF3, may be novel biomarkers for the accurate diagnosis of ICM. Immunotyping of patients with ICM will help to develop more accurate immunotherapy strategies for those with a significant immune response.
Active Loaded Source Coupled Logic: Circuit Design Techniques and Delay Modeling
Authors: Cini Ugur , Wang Shuai 
Published: November 2022

Abstract
In this paper, a single-ended source coupled logic family is introduced, based on active loaded differential pair as the core element. The circuit style is a member in the source-coupled logic family with single-ended output structure whereas conventional source-coupled circuit topology is fully differential. The proposed circuit style does not suffer from low noise margins and complicated routing structure, compared to other source coupled logic design techniques. The proposed logic family has advantages such as simple design methodology, analog friendly nature and better compatibility to electronic design automation tools when source coupled design is considered. In the paper, gates for the proposed logic family is developed and a delay-model is given for the initial calculations. To show the functionality and robustness of the structures, various SPICE circuit simulations are done for different technology nodes as 0.35μm and 0.18μm. The results show that the proposed circuit structure provides superior topological properties compared to the other single-ended source coupled logic design styles. The proposed logic family may be an advantageous logic design alternative especially for mixed-signal designs where low noise and analog-friendly design is desirable.
Investigating ethanol production using the Zymomonas mobilis crude extract
Authors: Aminian Amirhossein , Motamedian Ehsan 
Published: November 2022

Abstract
The cell-free system has emerged as a strong platform for producing chemical molecules and pathway debugging. However, cofactor regeneration in this system is also a challenge. To solve cofactor challenges and pathway debugging in the bioethanol pathway, we use the Zymomonas cell-free system to produce bioethanol and investigate cofactor challenges. First, to determine the ability of this system to produce bioethanol, different concentrations of glucose were added to the extract. At low glucose concentrations (0.01 and 0.1 M), the maximum theoretical yield of bioethanol produced was close to 100%, but with increasing glucose concentrations, this amount decreased. Next, sodium gluconate, as an intermediate component, in the ED pathway, was experimentally assessed. At 0.01 M of sodium gluconate, the maximum theoretical yield of 100%; was obtained. Then, to identify the ED pathway bottleneck, a systemic approach based on metabolic modeling was applied. A regulatory compound that controlled the bioethanol reaction was obtained from the BRENDA database. The regulator was added to the Zymomonas crude extract and its effect on bioethabol production was experimentally assessed. Then the effect of NAD+, at the concentration of 1 M glucose, was investigated, which does not affect increasing efficiency. Finally, by measuring ATP and glucose remaining in the culture medium, the imbalance ratio of ADP/ATP was found as the limiting step in producing bioethanol. This research demonstrated the highlighted role of cofactors in bioethanol production and the power of Zymomonas crude extract in reaching a high molar yield of bioethanol production.
Planar Substitutions to Lebesgue type Space-Filling Curves and Relatively Dense Fractal-like Sets in the Plane
Authors: Ozkaraca Mustafa Ismail 
Published: November 2022

Abstract
Lebesgue curve is a space-filling curve that fills the unit square through linear interpolation. In this study, we generalise Lebesgue’s construction to generate space-filling curves from any given planar substitution satisfying a mild condition. The generated space-filling curves for some known substitutions are elucidated. Some of those substitutions further induce relatively dense fractal-like sets in the plane, whenever some additional assumptions are satisfied.