bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construcción y propiedades psicométricas de tres escalas para evaluar la sobrecarga de trabajo desde casa durante el covid-19
Authors: Quezada Díaz Belem , De la Hoz Becquer Aime Margarita , Hindrichs Imke 
Published: March 2022

Introducción: La sobrecarga de trabajo es uno de los factores psicosociales más investigados, pero aún falta indagar y contar con evidencia empírica que muestre las repercusiones de realizar el trabajo desde casa, al ser esta una nueva forma de organización laboral por el confinamiento derivado del covid-19, donde las actividades laborales se entremezclan con otros roles asumidos en casa.
Objetivo: Desarrollar y analizar las propiedades psicométricas de la Escala de Sobrecarga de Trabajo desde Casa derivado del covid-19, la Escala Sobrecarga de Trabajo y Cuidado de Otros durante el confinamiento por covid-19 y la Escala Sobrecarga de Trabajo y Apoyo Escolar durante el confinamiento por covid-19.
Método: Se trató de un diseño no experimental y transeccional, aplicando los instrumentos construidos. Participaron 321 encuestados residentes en México, la media de edad fue de 36 años, el 76,6 % mujeres y el 23,4 % hombres. Los participantes se seleccionaron de manera no aleatoria en un muestreo por conveniencia.
Resultados: Las tres escalas obtuvieron índices de Alfa de Cronbach que señalan buena consistencia. Los análisis factoriales, exploratorio por componentes principales y confirmatorio por modelamiento de ecuaciones estructurales, indicaron un buen ajuste del modelo en las tres escalas.
Conclusiones: Las tres escalas confirmaron unidimensionalidad e indicadores psicométricos adecuados, se recomienda su uso para evaluar la sobrecarga cualitativa de trabajo desde casa, por llevar a cabo la tarea del cuidado de otros y derivada del apoyo escolar.
Valoración del grado de utilización de una app interactiva para aprender radiología
Authors: Izquierdo Palomares Lucía , Mesa Quesada Juan , Cerro Luna Ana Isabel , Jiménez Reina Luis , Álvarez Benito Marina 
Published: March 2022

Se presenta una aplicación para dispositivo móvil (app) dirigida a alumnos del Grado de Medicina y del Grado de Fisioterapia de la Universidad de Córdoba (UCO). Se trata de una herramienta interactiva y dinámica en la que el estudiante tiene acceso a casos clínicos cuyo diagnóstico principal se centra en la imagen. La app va a permitir que el alumno conozca y se familiarice con las diferentes técnicas de diagnóstico por la imagen, su utilidad para cada patología y área anatómica, y relacione la imagen con otros datos clínicos.
Estos casos van a ser representativos del trabajo diario de un Servicio de Radiología con técnicas clásicas y otras muy avanzadas e innovadoras de alto nivel técnico. Además, esta herramienta permite monitorizar los conocimientos que adquirieren los alumnos durante el curso por parte de los profesores de la asignatura.
Optimization of the Operating Envelope of a Hot-Solvent Injection Process for Bitumen Recovery
Authors: Sadeghi Asghar , Boustani Arash , Hassanzadeh Hassan 
Published: March 2022

Summary
Over the past two decades, there have been considerable efforts in the industry evaluating the use of pure solvents or solvent-assisted processes for the development of oil sands reservoirs in Canada. Replacement of conventional steam-based recovery with solvents can minimize the energy intensity of bitumen recovery and reduce the environmental footprint of the operation. Moreover, solvent-based processes can reduce the capital cost of handling large volumes of water and minimize water usage. In-situ heating techniques were also studied as an alternative means of delivering energy into the oil reservoirs while reducing the cost of surface heating facilities. One of the available in-situ heating options is electric resistive heaters (ERHs) deployed in the horizontal wells.
This study examines many different aspects of bitumen recovery and process optimization by injection of superheated solvents along with the application of ERHs. New economic metrics were introduced to optimize the subsurface process performance. The study revealed that while ERH could help vaporize the injected solvents in the injector well, the induced solvent reflux subject to ERH installation in producer wells is a subeconomic strategy. Therefore, after the establishment of the initial communication between the well pairs, the producer heater is recommended to be turned off.
Preheating modeling showed that the producer heater power rating could be ~1.3 kW/m. The process was optimized for pure butane and propane injection processes. The operating pressure range was found to be 500–800 kPa for pure butane and 1700–2300 kPa for pure propane in the reservoir of interest. The injector heater was set to deliver solvent at 250°C into the reservoir during the process, requiring ~1.2 kW/m power for butane and ~0.8 kW/m for propane vaporization. Finally, the requirement of water coinjection, well spacing, and uncertainty to reservoir attributes were also studied.
Experimental Research on Cationic Surfactants in the Drag Reduction of Water Injection Pipeline
Authors: Yuan Ying , Jing Jiaqiang , Yin Ran , Jing Peiyu , Hu Jianfei 
Published: March 2022

Summary
To achieve the throughput increase and drag reduction of the water injection pipeline for offshore oil fields, this paper takes the cationic surfactant solution as the research object and explores the feasibility of applying the additive drag reduction technology to the water injection pipelines through the rheological test and drag reduction simulation device. The experimental results show that the cetyltrimethylammonium chloride (CTAC) selected initially has excellent thixotropy, and the viscosity recovery rate within 300 seconds can reach more than 97%. In addition, CTAC/NaSal (sodium salicylate) solution has strong oil resistance and salt tolerance. As the oil concentration increases from 0 to 6,000 ppm, the viscosity only decreases by 8.24%; as the salt concentration increases from 0 to 6,000 ppm, the maximum viscosity growth rate is 87.08%. Furthermore, the CTAC/NaSal has good temperature resistance, which enhances with the increase of concentration. The recommended concentration of drag reducer is 400 ppm, and the maximum drag reduction rate, throughput increase rate, pressure drop reduction rate is 74.19, 76.76, and 67.99%, respectively. Therefore, the CTAC/NaSal solution has broad application prospects in the drag reduction of water injection pipelines.
A Self-adaptive Binary Cat Swarm Optimization Using New Time-Varying Transfer Function for Gene Selection in DNA Microarray Expression Cancer Data
Authors: sharafi yousef , Teshnehlab Mohammad 
Published: March 2022

Abstract
Microarray technology is beneficial in terms of diagnosing various diseases, including cancer. Despite all DNA microarray benefits, the high number of genes versus the low number of samples has always been a crucial challenge for this technology. Accordingly, we need new optimization algorithms to select optimal genes for faster disease diagnosis. In this article, a new version of the binary cat optimization algorithm, named SBCSO, for gene selection in DNA microarray expression cancer data is presented. The main contributions in this paper are listed as follows: First, the opposition-based learning (OBL) mechanism is employed to improve the proposed algorithm's population members' diversity. Second, a time-varying V-shape transfer function is employed to balance the two phases of exploration and extraction in the proposed algorithm. Third, the MR and 𝛌 parameters in the proposed algorithm are adapted over time, and finally, single-objective and multi-objective approaches are proposed to solve the gene selection problems. The fifteen datasets pertinent to microarray data of various cancer types are employed to compare the proposed method with other well-known binary optimization algorithms. The experiments' results indicate that the proposed algorithm has a better capability to select the optimal genes for a faster disease diagnosis.
Intravitreal ranibizumab alone or in combination with Calcium dobesilate (CaD) for the treatment of diabetic macular edema in non-proliferative diabetic retinopathy patients: a 12-month outcomes of a retrospective study
Authors: Wang Dongxuan , Wang Hui , Wu Shuang , Yang Xueqiu , Xu Jiansen 
Published: March 2022

Abstract
Purpose To investigate the effect of calcium dobesilate (CaD) in the treatment of diabetic macular edema (DME) in patients with non-proliferative diabetic retinopathy (NPDR).Methods This retrospective, observational, consecutive case control study enrolled patients newly diagnosed with DME who received intravitreal ranibizumab (IVR) administration with 3-monthly loading dose injection followed by pro re nata (3+PRN) regimen with or without CaD orally daily for at least 12-month follow-up. Medical records and optical coherence tomography (OCT) results were reviewed and compared.Results A total of 102 eyes from 102 patients were enrolled in this study. Fifty-four patients received IVR combined with CaD orally (IVR+CaD group), while forty-eight patients received IVR solely (IVR group). At every follow-up, 3, 6 and 12 months after injection, the best corrected visual acuity (BCVA) improved and the central macular thickness (CMT) decreased in both groups when compared with those at baseline (P < 0.05), while there were no significant differences in BCVA improvement and CMT reduction between the two groups (P > 0.05). The mean number of ranibizumab injections in R+C group was significantly lower than that in R group (5.4 ± 1.1 injections versus 6.7 ± 1.6 injections, P<0.05) within 1-year treatment. No adverse events were found in neither groups.Conclusions Adding orally CaD to intravitreal ranibizumab was demonstrated to have similar effectiveness and safety for improving visual function and restoring the anatomy of the retina in macular with fewer injections in DME patients.
Study on the influencing factors and improving countermeasures of regional financial service function in Hunan Province ——Take corporate loans as an example
Authors: LIU ZHIYING , Wen Yixian 
Published: March 2022

Abstract
The demand for financial services has been increasing with China rapid economic development in recent years. Among diverse financial services, credit is the financial service which has linked closely with daily economic activities of individuals and nonfinancial firms. In fact, in the domestic financial system, indirect financing is the leading way, the change in the total amount of credit is of great significance to both the microeconomic and the macroeconomic. This paper focuses on the regional financial services within Hunan Province, using the volume of credit delivery to non-financial firms and government institutions in Hunan as a start point, and selects the nonfinancial firms in Hunan Province from 2016 to 2020 as the research object, and analyses the influencing factors for the amount of non-financial corporate borrowing under the function of regional financial services in Hunan. The empirical results show that the amount of loans from non-financial enterprises are positively correlated with the deposits of non-financial enterprises and residents and government organizations and are negatively correlated with the reduction rate of loss-making enterprises and CPI. Finally, according to the results, this paper concluded countermeasures for Hunan Province to effectively improve the amount of credit and promote economic development.
Research Trends in Japanese Public Administration: Statistical Content Analyses of Article Titles in Public Administration Review Quarterly (1978–2019)
Authors: Moteki Yasutoshi 
Published: March 2022

Abstract
Japanese research on public administration is now increasingly being published in English, however, it is difficult to understand the context regarding research position and practical implications in Japan simply by reading these papers in isolation. To better understand the recent Japanese administrative research on individual policy areas being published in English, it is necessary to first understand the previous accumulated Japanese administrative research. This paper quantitatively explains research trends in postwar administrative studies in Japan by statistically analyzing nearly 40 years of article titles from Public Administration Review Quarterly, from its first (1978) to 165th issue (2019). Published quarterly by the Institute of Administrative Management, which is tied to the Ministry of Internal Affairs and Communications, Public Administration Review Quarterly is a renowned public administration journal in Japan. Co-occurrence network and correspondence analyses revealed changes in research interests. There was substantially more research on administrative reforms through the postwar Showa and Heisei eras. The configuration figures of correspondence analysis indicate that the first dimension concerns administrative reforms, the second, historical events/administrative systems, and the third, evaluations and Kaizen. Co-occurrence network analysis showed that studies during the Showa era (1978–1988) could be partly characterized by two extracted compound words: the United States and the United Kingdom. In other words, public administration in Japan in this period was strongly influenced by Western public administration. Japan became a feature of studies of public administration during the Heisei era (1989–2018). These features are consistent with those found in previous quantitative studies.
External validation of the computerized analysis of TRUS of the prostate with the system ANNA/C-TRUS: a potential role of Artificial Intelligence for improving prostate cancer detection
Authors: Lorusso Vito , Kabre Boukary , Pignot Geraldine , Branger Nicolas , Pacchetti Andrea , Thomassin-Piana Jeanne , Brunelle Serge , Nicolai Nicola , Musi Gennaro , Salem Naji , Montanari Emanuele , de Cobelli Ottavio , Gravis Gwenaelle , Walz Jochen 
Published: March 2022

Abstract
PURPOSE:Prostate cancer (PCa) imaging has been revolutionized by the introduction of multi-parametric Magnetic Resonance Imaging (mpMRI). Transrectal ultrasound (TRUS) has always been considered a low-performance modality. To overcome this, a computerized artificial neural network analysis (ANNA/C–TRUS) of the TRUS based on an artificial intelligence (AI) analysis has been proposed. Our aim was to evaluate the diagnostic performance of the ANNA/C-TRUS system and its ability to improve conventional TRUS in PCa diagnosis.METHODSWe retrospectively analyzed data from 64 patients with PCa and scheduled for radical prostatectomy who underwent TRUS followed by ANNA/C-TRUS analysis before the procedure. The results of ANNA/C-TRUS analysis with whole mount sections from final pathology.RESULTS On a per-sectors analysis, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV) and accuracy were 62%, 81%, 80%, 64% and 78% respectively. The values for the detection of clinically significant prostate cancer were 69%, 77%, 88%, 50% and 75%. The diagnostic values for high grade tumours were 70%, 74%, 91%, 41% and 74%, respectively. Cancer volume (<0.5 or greater) did not influence the diagnostic performance of the ANNA/C-TRUS system.CONCLUSIONSANNA/C-TRUS represents a promising diagnostic tool and application of AI for PCa diagnosis. It improves the ability of conventional TRUS to diagnose prostate cancer, preserving its simplicity and availability. Since it is an AI system, it does not hold the inter-observer variability nor a learning curve. Multicenter biopsy-based studies with the inclusion of an adequate number of patients are needed to confirm these results.
Interval-based Non-dimensionalization Method (IBNM) and Its Application in PM2.5 Grade Prediction
Authors: XU TIANJIAO , CHEN SHIHONG , YE YAN , LI BAIQI , GUAN HUAPING 
Published: March 2022

Abstract
Aiming at the disadvantages of rationality and adaptability of linear dimensionless method, as well as the complexity of constructing polyline and curve dimensionless method, this paper proposes an Interval-based Non-dimensionalization Method (IBNM). IBNM can be assembled in to polyline IBNM or curve IBNM based on the critical points formed by interval partition. Interval division can be classified based on the existing index data, which is scientific, reasonable, simple and practical. Taking example of the prediction of PM2.5 air quality grade in Guangzhou, this paper constructs four models to predict air quality grade, such as, Support Vector Regression (SVR), Random Forest, Extremely Random Tree, and Gradient Lifting Regression Tree model. Meanwhile, the data is processed with extremum method, polyline IBNM and curve IBNM. The results show that the accuracy of polyline IBNM and curve IBNM is better than extremum method.
Risk factors of occupational skin diseases among traditional batik manufacturing workers in Yogyakarta, Indonesia
Authors: Febriana Sri Awalia , Erdina Erdina , Dewi Kusuma , Ridora Yohanes , Anggraeni Agustina , Indrastuti Niken , Waskito Fajar , Oginawati Katharina , Tanziha Ikeu , Prakoeswa Cita Rosita Sigit 
Published: March 2022

Abstract
Objective: Batik is one of the Indonesian traditional arts made by decorating fabric using the resist dyeing technique. Currently, batik manufacturing serves as an important source of livelihood in Indonesia. However, the production process of traditional batik involves a range of chemicals and some repetitive physical movements, making batik production inseparable from physical and chemical hazards which increase the risk of developing occupational skin diseases (OSD). This study aimed to identify the risk factors related to OSD, including occupational contact dermatitis (OCD), among traditional batik manufacturing workers in Yogyakarta, Indonesia.Results: The study demonstrated that working duration (≥8 hours daily) and type of work (wet process only) were statistically significant as risk factors for developing OSD. While for OCD, our results found that gender (male), history of atopy, and type of work (all and wet phase only) were risk factors for OCD development among traditional batik manufacturing workers.
Statistical and Health Economic Analysis Plan Including COVID-19 Mitigation Strategy for the Physio4FMD Trial
Authors: Marston Louise , Novere Marie Le , Ricciardi Federico , Nazareth Irwin , Carson Alan , Edwards Mark , Goldstein Laura , Marsden Jonathan , Noble Hayley , Reuber Markus , Stone Jon , Hunter Rachael , Nielsen Glenn 
Published: March 2022

Abstract
Background
Functional motor disorder (FMD) is a common cause of disabling neurological symptoms such as weakness and tremor. We are carrying out a pragmatic, multicentre single blind randomised controlled trial to evaluate effectiveness and cost effectiveness of specialist physiotherapy versus treatment as usual to improve physical functioning at 12 months. Like many other studies, this trial was affected by the COVID-19 pandemic, which interrupted the trial towards the end of planned recruitment. In this paper, we discuss (i) the impact of COVID-19 on the trial; (ii) the impact mitigation strategies implemented; and (iii) the planned statistical and health economic analysis methods and sensitivity analyses aimed at assessing the disrupting influence of COVID-19 on the trial.
Methods
The planned statistical and health economics analyses for this trial are described, as well as the sensitivity analyses designed to assess the disruption caused by COVID-19. The trial treatment of at least 89 participants (33%) was disrupted due to the pandemic response. To account for this, we have extended the trial to increase the sample size. We have identified four groups based on how participants’ involvement in Physio4FMD was affected; A: 24 were unaffected; B: 131 received their trial-treatment before the start of the COVID-19 pandemic and were followed up during the pandemic; C: 89 were recruited in early 2020 and had not received any randomised treatment before clinical services closed because of COVID-19; D: participants recruited after the trial was restarted in July 2021 (target 90 to 120). The primary analysis will involve groups A, B and D. Regression analysis will be used to assess treatment effectiveness. We will conduct descriptive statistics for each of the groups identified and sensitivity regression analyses with participants from all groups, including group C, separately.
Discussion
The COVID-19 mitigation strategy and analysis plans are designed to maintain the integrity of the trial while providing meaningful results. By publishing our analysis plans ahead of database lock, analysis and unblinding, we aim to avoid bias due to data-driven analysis.
Trial registration
: The trial was registered with the ISRCTN register on 27/03/2018, number ISRCTN56136713.
A Proposal for Optomechanical Bichromatic Wavelength Switching for two-color Up-conversion Application
Authors: Fanid Ali Taghizad , Rostami Ali 
Published: March 2022

Abstract
This study focuses on the Optomechanical bichromatic wavelength switching system as an indirect two-color up-conversion process that relies on optical force and nanorod scattering effects. This system is used to control light coupling between four parallel optical waveguides made of silicon nitride (Si3N4) which form two identical parts. The parallel waveguides with 0.5 µm × 0.5 µm cross-section and 220 µm lengths suspended on a silica (SiO2) substrate embedded with the array of square silicon (Si) nanorods. By mid-IR plane wave illumination, as control light, with different intensities and different wavelengths on nanorods, scattering would increase and result in an improvement in attractive gradient optical force exerted on waveguides. Via bending waveguides toward each other, caused by optical gradient force, two different visible lights, as probe signals, propagating in the first waveguide of each section would couple to the adjacent waveguide. Simulation results reveal that when the distance between the parallel waveguides in the equilibrium position is 100 nm and the intensity of mid-IR light is 1.28 mW/µm2 total coupling would occur in two situations: 1- when the control light is 4.5 µm, the probe light with 713 nm wavelength is transmitted to the output, 2- when the control light is 3 µm, the probe light with 609 nm wavelength is transmitted to the output. In the first case 1.92 pN/µm optical force is needed to bend each waveguide by 9 nm and in the second one, 1.28 pN/µm optical force is needed to bend each waveguide by 6 nm for total coupling. The efficiency of the coupled waveguides system is %88.6 for 609 nm probe light injection and %96.5 for 713 nm probe light injection.