bluuebunny/crossref_metadata_2025_split huggingface dataset:
Análisis psicométricos de ítems de una prueba diagnóstico sobre estadística descriptiva utilizando el modelo de Rasch
Authors: Canut Díaz Velard Ma. Eugenia , Torres-Ramos Ingrid 
Published: February 2023

Este trabajo presenta la construcción de un banco de ítems, que permita aplicar y evaluar de manera precisa y equilibrada aptitudes cognitivas (conceptos, razonamiento, identificación, análisis) específicas del dominio de la asignatura de probabilidad y estadística, de la licenciatura de ingeniería civil en una universidad pública. Se invitó a tres profesores como expertos del área de estudio para validar el contenido de los ítems propuestos. Se aplico un cuestionario de 34 ítems a una muestra de 167 alumnos de tercer semestre en donde las respuestas se codificaron dicotómicamente. Los análisis realizados son la confiabilidad y validez del cuestionario, también se verificó la unidimensionalidad de la escala por medio del análisis exploratorio, y se evaluó la habilidad de los alumnos y la dificultad del ítem analizado por el modelo de Rasch. Dentro de los resultados obtenidos, se eliminaron los ítems que no cumplían con la discriminación y con el modelo; permaneciendo 10 ítems. Se evaluó el índice de separación de los ítems es 4.35 y la fiabilidad de los ´ítems 0.95; se considera que estos valores son adecuados. Por otro lado, los índices de separación de las personas 1.06 y el índice de fiabilidad de las personas 0.53, no son muy adecuados. Con los parámetros obtenidos se destaca que se deben mejorar las estrategias de enseñanza.
Peningkatan Keterampilan Menulis Karangan Narasi Melalui Pendekatan Contextual Teaching and Learning di Kelas V Sekolah Dasar
Authors: Fajrudin Lili , Rahmat Khoerunnisa Nur Awaliah , Saefulloh Febri , Fajari Laksmi Evasufi Widi , Sa'diyah Halimatus , Aini Syarifah 
Published: February 2023

<p>This study aims to improve the process of learning to write narrative essays in Indonesian language learning through the Contextual Teaching and Learning (CTL) approach and improve learning outcomes of narrative essay writing skills through the CTL approach to the fifth grade students of SD Negeri Bojongjengkol 03 Ciampea District, Bogor Regency. This type of research is Classroom Action Research. The researcher uses an action research model developed by Kemmis and Mc. Taggart which includes the stages of planning, implementing actions, observing, and reflecting. The subjects of this study were the fifth grade students of SD Negeri Bojongjengkol 03, Ciampea District, Bogor Regency, totaling 25 students. This classroom action research was carried out in two cycles, namely the first cycle consisting of 3 meetings and the second cycle consisting of 2 cycles. Data collection techniques using tests and observations. The data collection instrument used learning outcomes tests and observation sheets. To test the validity of the instrument in this study using construct validity using expert judgment. Research data obtained from observation and test learning outcomes. The data obtained were analyzed descriptively quantitatively and descriptively qualitatively. In the learning process in cycle I, the teacher applied the CTL approach. In the first cycle, the students' narrative essay writing skills increased from the pre-cycle results, the students' average score was 64.84 and increased to 66.12. Learning in cycle II the teacher applies the CTL approach combined with group discussions. Cycle II the average score of students increased to 75.16. In the first cycle, only 54.29% of students who finished learning increased to 100% in the second cycle. The results showed that the CTL approach could improve narrative essay writing skills.</p>
Age and serum creatinine can differentiate Wilson disease patients with pseudonormal ceruloplasmin
Authors: Chen Lin , Shi Yongguang , Wang Nan , Lou Zhuoqi , Wu Chensi , Pan Liya , Xu Xiaolan , Yang Renmin , Han Yongzhu , Hu Wenbin , Ruan Bing 
Published: February 2023

Abstract
Background and aim: Significantly reduced serum ceruloplasmin (Cp) is the most important clue in the diagnosis of Wilson disease (WD) and is well known to clinicians. The false increase in Cp in some WD patients, which overlaps with that in non-WD liver disease patients, decreases the diagnostic accuracy. The aims of our study were to understand the factors associated with Cp normalization in WD patients and to identify these WD patients using usual predictors.
Methods:We retrospectively screened individuals with serum Cp ≥140 mg/L from 1032 WD patients who were hospitalised for the first time. Logistic regression analyses were performed in a case-control study between the WD cohort and another liver disease cohort to explore the independent risk factors for WD diagnosis and establish a regression model to identify them. The follow-up medical records of the WD cohort were subjected to mixed effects model analysis in a longitudinal study to discover factors associated with Cp normalisation.
Results:Eighty-six WD patients and 353 of their medical records and another 98 non-WD liver disease patients were included in the present study. Cp normalisation was significantly associated with the copper burden and liver function indexes, such as urinary copper, γ-glutamyltransferase, and albumin (p≤0.001). Logistic regression analysis showed that age and serum creatinine (p≤0.001) were independent risk factors associated with WD. The AUC value of regression model in total cohort was 0.926 (p≤0.001). At a cutoff value of ≥ 0.617 and ≥ -1, the positive and negative predictive values were both 90.8% for WD.
Conclusion:Increased serum Cp in WD patients is related to excessive copper burden and hepatic injury, and common tests can effectively distinguish WD patients from other liver injury patients.
HIV-1 activates oxidative phosphorylation in infected CD4 T cells and the NLRP3 inflammasome in bystander macrophages
Authors: Freeman Tracey , Zhao Connie , Schrode Nadine , Tweel Benjamin , Fortune Trinisia , Schroff Sanjana , Beaumont Kristin , Swartz Talia 
Published: February 2023

Abstract
Human immunodeficiency virus type 1 (HIV-1) leads to a chronic, incurable infection that causes immune activation, resulting in chronic inflammation in people with HIV-1 (PWH) despite virologic suppression on antiretroviral therapy (ART). The mechanisms underlying this chronic inflammation are multifactorial; literature supports the role of lymphoid structures as reservoirs for viral latency and immune activation. The cell type-specific transcriptomic changes induced by HIV-1 infection in lymphoid tissue have not been analyzed. Human tonsil explants from four donors were infected with HIV-1 ex vivo. Single-cell RNA sequencing (scRNA Seq) was performed to evaluate the represented cell types and the impact of infection, differential gene expression, and inflammatory signaling pathways. Infected CD4+ T cells exhibited increased respiratory electron transport pathway genes. Macrophages exposed to the virus but uninfected demonstrated increased NLRP3 inflammasome pathway genes, suggesting that these cells may play a bystander role in HIV-associated inflammatory pathogenesis. We show that HIV-1-infected CD4+ T cells activate oxidative phosphorylation. Bystander macrophages activate the NLRP3 inflammasome, activating proinflammatory signaling pathways and pyroptotic cell death. These observations support important mechanistic understanding to drive the development of therapeutic strategies to eradicate disease in PWH.
Design and simulation of a semiconductor detector-based Compton imaging system with efficiency analysis
Authors: Niknami Mostafa , Hosseini Seyed Abolfazl , Loushab Mahdy Ebrahimi 
Published: February 2023

Abstract
In recent years, Compton cameras that use electronic collimators have become common. One or more scatterer detectors and an absorber detector make up the Compton camera, which is sensitive to the energy and location of scattered gamma rays. It predicts the distribution of gamma-ray sources by reflecting all valid events in the image space using conical surfaces. Compton cameras are designed for specific applications and image reconstruction using various methods.
Based on studies on the efficiency of the Compton camera, the current work provides a novel detector design that includes scatterer and absorber detectors. This design includes eight scatterer detectors spaced 1 mm apart and an absorber detector 30 mm from the last scatterer detector. The distance between the source and the first scatterer detector was 5 mm. The scatterer and absorber detector plates were 70x70x2.125mm3 and 70x70x10mm3, respectively. The Compton imaging system is simulated using the GEANT4 toolkit.
In addition, this study uses an analytical method to reconstruct Compton camera images. The method used for analytical reconstruction in the Compton imaging system differs slightly from simple restoration methods used in other imaging systems. In the analytical method, the equation related to the data reflected by the image must be solved to reconstruct the image directly. This method, the C + + code was developed to reconstruct Compton camera images.
According to the results, using the analytical method to identify the best circumstances and the parameters impacting efficiency, the value of FWHM achieved was 3.7 mm with an angular uncertainty of about 2.7 at an energy of 0.662 MeV. Furthermore, the FWHM value decreased by 0.7 mm, compared to another (experimental) design that employed the analytical image reconstruction approach.
News Sentiment Analysis for Liquidity Risk Reduction
Authors: Mirashk Hamed , Albadvi Amir , Kargari Mehrdad , Rastegar Mohammad Ali 
Published: February 2023

Abstract
Recently, the low quality of banks' assets has caused many problems for banks and the economy of some countries. The lack of efficient risk management is the main reason for the decline in the quality of banks' assets. One of the most important risks in banks is liquidity risk. The Basel Committee on Banking Supervision (BCBS) introduced the liquidity coverage ratio (LCR) as part of the Basel III reforms for the short-term recovery of internationally active banks against liquidity shocks, after the crisis. As the LCR is designed to ensure that banks hold a sufficient reserve of high-quality liquid assets, predicting LCR position at the right time can prevent banking serious problems in the future which has not been addressed in previous research. This study applies the Sentiment Analysis approach as qualitative measures and investigated its impact on LCR. A news integration method combined with text representation techniques, the result of which is fed into well-tuned Deep Learning Algorithms such as Convolutional Neural Network, is introduced as a unique predictive machine suitable for this problem. Finally, we find that current news contain information related to the change in LCR of next month, an insight that helps to improve prediction of its position with an accuracy of 88.6%. The outcome indicates that risk managers can benefit from complementing established qualitative measures that are related to future liquidity risk changes.
Boundaries Determination in Potential Field Anomaly Utilizing Analytical Signal Filtering and its Vertical Derivative in Qeshm Island SE Iran
Authors: Hosseini Seyed Aliakbar , Khah Nasser Keshavarz Faraj , Kianoush Pooria , Afzal Peyman , Shakiba Sima , Jamshidi Emad 
Published: February 2023

Abstract
The analytical signal method and its derivatives can be explicitly calculated and assessed for analyzing and estimating the boundary of geological structures, such as faults or dikes, from potential field anomalies. Gravity field of the east of Qeshm Island and its north coast from Sarkhun to Latidan in SE Iran has been measured in one-kilometer regular network. The regional anomaly effects are deducted from the Bouguer anomaly, where it can get the residual anomalies which is the considered dataset used in this study. The Bouguer range is -297 to -330 milligals (mGal) applying filters and modeling. It was revealed that there are five negative anomalies caused by salt penetration in the region. Regional anomalies expectedly have a low spatial frequency and long wavelengths, while the residual anomalies associated with shallow sub-surface potentials have high spatial frequencies and short-wave wavelengths.
Two different fault trends were observed comparing the artificial model using MATLAB coding, the real one, and the filtered residual anomaly map of the Qeshm region. Also, another fault trend is suggested in the east height of Oman, which is a possible place of salt penetration. Due to the limited dimensions (120 * 100 km) and the information obtained from the existing drillings, the depth of the anomaly resources can be examined up to 8 km. Due to the gravitational condition between the two domes of Qeshm saline and the bridge located in the Hara saline area, it is suggested to be considered as an area for further oil exploration routines.
Renalase Identified by Machine Learning Methods As A Novel Independent Predictor Of Mortality In Hospitalized Patients With COVID-19
Authors: Safdar Basmah , Sobiesk Matthew , Bertsimas Dimitris , Nowroozpoor Armin , Deng Yanhong , D’Onofrio Gail , Dziura James , El-Khoury Joe , Guo Xiaojia , Simokonov Michael , Taylor R. Andrew , Wang Melinda , Desir Gary 
Published: February 2023

Abstract
Low levels of renalase, a flavoprotein released by kidneys, has been linked with cytokine release syndrome and disease severity of viral infections. We sought to, 1) identify traditional and novel predictors of mortality for patients hospitalized with COVID-19; and 2) investigate whether renalase independently predicts mortality. In a retrospective cohort study, clinicopathologic data and blood samples were collected from hospitalized COVID-19 patients. Patients were excluded if < 18 years or opted out of research. Novel research markers – renalase, kidney injury molecule-1, interferon (α,δ,ι), interleukin (IL-1, IL6), and tumor necrosis factor were measured. The primary outcome was mortality within 180 days of index visit. Among 437 patients who provided 897 blood samples, mean age was 64 years (SD ± 17), 233 (53%) were males, and 48% were non-whites. Seventy-one patients (16%) died. Area under the curve (AUC) for mortality prediction was as follows: using logistic regression with a priori feature selection (AUC = 0.72; CI 0.62, 0.82), logistic regression with backward feature selection (0.70; CI 0.55, 0.77), and XGBoost (0.87; CI 0.77, 0.93)]. PR-AUC and calibration plots also showed best performance with XGBoost model. Elevated BNP, advanced age, oxygen saturation deviation, and low renalase were the leading predictors of mortality in XGBoost. Renalase emerged as an independent predictor of mortality for COVID-19 across all statistical models.
The performance of GRAMM-SCI and WRF in simulating the surface-energy budget and thermally driven winds in an Alpine valley
Authors: Simonet Gaspard , Oettl Dietmar , Lehner Manuela 
Published: February 2023

Abstract
Using WRF as a benchmark, GRAMM-SCI simulations are performed for a case study of thermally driven valley- and slope winds in the Inn Valley, Austria. A clear-sky, synoptically undisturbed day was selected when large spatial heterogeneities occur in the components of the surface-energy budget driven by local terrain and land-use characteristics. The models are evaluated mainly against observations from four eddy-covariance stations in the valley. While both models are able to capture the main characteristics of the surface-energy budget and the locally driven wind field, a few overall deficiencies are identified: (i) Since the surface-energy budget is closed in the models, whereas large residuals are observed, the models generally tend to overestimate the sensible and latent heat fluxes. (ii) The partitioning of the available energy into sensible and latent heat fluxes remains relatively constant in the simulations, whereas the observed Bowen ratio decreases continuously throughout the day because of a temporal shift between the maxima in sensible and latent heat fluxes, which is not captured by the models. (iii) The comparison between model results and observations is hampered by differences between the real land use and the vegetation type in the model. Recent modifications of the land-surface scheme in GRAMM-SCI improve the representation of nighttime katabatic winds over forested areas, reducing the modeled wind speeds to more realistic values.
Dietary counselling plus omega-3 supplementation in the treatment of generalized anxiety disorder: Protocol for a randomized wait-list controlled pilot trial (the “EASe-GAD Trial”)
Authors: Aucoin Monique , LaChance Laura , Wurff Inge van der , Miller Sean , Naidoo Umadevi , Jenkins Andrew , Cooley Kieran 
Published: February 2023

Abstract
Background
Anxiety disorders are prevalent and disabling conditions involving excessive worry and tension. Generalized anxiety disorder (GAD), the most common anxiety disorder, affects 5% of individuals from high-income countries and many individuals report that treatment options are not accessible, effective, or tolerable. Clinical evidence suggests that nutrition interventions, based on the Mediterranean diet and supplementation of omga-3 fatty acids, can significantly improve symptoms of depression; however, the effect of nutrition interventions on anxiety symptoms has not been studied in a clinical population. The primary objective of the present study is to assess the feasibility and acceptability of a dietary counselling and omega-3 fatty acid supplementation intervention delivered to adult women with GAD. The secondary objectives include assessing changes in anxiety symptom severity, assessing changes in quality of life, assessing changes in biomarkers and evaluation of the components of the program.
Methods
This study is a randomized, wait-list controlled pilot trial delivering a 12-week, dietary counseling intervention and omega-3 supplementation to 50 adult women with GAD. Participant will complete seven individual counselling sessions which include education, personalized recommendations, mindful eating techniques, motivational interviewing, and goal setting. They will be provided with recipes, instructional videos, and food items. The intervention is designed based on the Social Cognitive Theory and previous research that has been done by the author team to identify dietary constituents with the most evidence to support their use in the treatment of anxiety disorders. Questionnaires and blood work will be completed at baseline, after the wait period (for those in the waitlist group) and after the intervention.
Discussion
Results from this study will lay the foundation for future large-scale studies in this area and may provide preliminary evidence of the role of diet counselling and omega-3 supplementation in the management of GAD. Research on the role of nutrition in psychiatric care has been identified as a priority by a number of international organizations. The present trial directly addresses the call for the research that is most needed to advance the field. This protocol was registered at Clinicaltrials.gov on October 10, 2022; NCT05573672; https://clinicaltrials.gov/ct2/show/NCT05573672.
A synergistic biomimetic optical structure for household health monitoring
Authors: Zhang Shan , Zhang Guanglin , Ding Guqiao , Liu Zhiduo , Wang Bingkun , Wu Huijuan , He Zhengyi , Wei Genwang , Jin Zhiwen , Li Jipeng , Ye Caichao , Yang Siwei , Wang Gang 
Published: February 2023

Abstract
A breakthrough in the performance of bionic optical structures will only be achieved if we can obtain an in-depth understanding of the synergy mechanisms operating in natural optical structures and find ways to imitate them. In this work, inspired by feline eyes, an optical structure that takes advantage of a synergistic effect that occurs between resonant and reflective structures was designed. The reflective structure consists of anodic aluminum oxide with an aluminized inner layer (Al-AAO), and the resonant structure consists of three-dimensional (3D) graphene inside, and on the surface of the Al-AAO. The synergistic effect between the reflective and resonant components leads to a Raman enhancement factor (EF) of 1.16 × 107 which is much greater than that achieved using the reflective/resonant cavities on their own. A 2-3 order of magnitude increase in sensitivity could thus be achieved when used to detect model compounds. More importantly, the optical device was further used to develop a highly-sensitive household health monitoring system. The system uses simple apparatus (homemade centrifugal device and hand-held Raman spectrometer) and rapidly produces results (detection time＜3 min). It can thus be used to give early warning of acute diseases with high risk (e.g., acute myocardial infarction). The 3D-graphene/Al-AAO substrates were also found to have good reusability and storability (9% and 7% reduction in EF after washing 30 times and 8 weeks of storage, respectively). They thus reduce detection costs (to ~$1), making them much cheaper to use than the current gold-standard methods (e.g., ~$16 for gout detection).
Effect of continuous spinal anesthesia on the hemodynamics of labor analgesia in hypertensive pregnant women: a randomized clinical trial
Authors: Han Bin , Xu Mingjun 
Published: February 2023

Abstract
Background:

To evaluate whether the LiDCO-rapid monitor had any advantages compared to continuous epidural analgesia to bring beneficial for hypertensive pregnant women and their newborns.

Methods:

In total 160 parturients with hypertensive disorder complicating pregnancy were enrolled and randomly divided into continuous spinal analgesia group (CSA) and continuous epidural analgesia group (EA). The LiDCO-rapid system was used to monitor the hemodynamic changes of all participants. The inflammatory factors and stress response hormones were measured in the participants' serum.

Results:

The first stage of labor in CSA was longer than EA (P < 0.05); the MAP, VAS and SVR value in CSA were lower than EA group at T1, T3 and T4 (P < 0.05); in contrast, the CO in CSA at T3 and T4 was higher than in EA (P < 0.05). The oxytocin was more often used whereas the antihypertensive drugs were less used in CSA as compared to EA. The level of TNF-α, IL-6, Cor in the CSA at T5 was lower than the EA group (P < 0.05), and the level of TNF-α in the CSA group at T7 was lower than the EA group (P < 0.05).

Conclusion:

For pregnant women with hypertension during pregnancy, continuous spinal analgesia can improve the oxygen supply of the fetus. Since the advantageous effect is definite and circulatory system is stable, it is recommended to implement continuous spinal analgesia early in the labor process, which can effectively decrease stress response and inflammatory factors that having benefits for both parturient and fetus.
Trial registration:
ChiCTR-INR-17012659
Date of registration: 13/09/2017