bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of health-promoting lifestyle components on job adjustment of health care workers during the COVID-19 pandemic
Authors: Shakerian Sareh , Kazemi Fariba Haj , Nemati Hossein 
Published: May 2023

Abstract
Background: The wide spread of the Covid-19 disease has faced many challenges to health systems and health care workers. One of the areas that the coronavirus crisis had a deep impact on was lifestyle and balance in professional and work life. A lifestyle that promotes health is one of the important and influential factors in job performance. Job adjustment is influenced by the general atmosphere of life, the quality of work life, and the nature of the job. There is limited information regarding the role of various health-promoting lifestyle components in the job adjustment of health care workers. This study was aimed to determine the impact of health-promoting lifestyle components on job adjustment of health care workers during the COVID-19 pandemic
Methods: In this descriptive-analytical study, 470 health care workers of Tabriz city, the capital of East Azerbaijan province located in northwestern Iran were selected by the random cluster method. Data were collected using questionnaires of demographic characteristics, health-promoting lifestyle, and job adjustment and were analyzed with descriptive and inferential statistics.
Results: The findings of the study showed that all components of the health-promoting lifestyle had a significant relationship and explained 39% of the changes in job adjustment. Among the health-promoting lifestyle components, nutrition (β = 0.499, P < 0.001) and responsibility for health (β = 0.160, P = 0.004) have the most positive influence on the job adjustment of health care workers in the COVID-19 pandemic. Although interpersonal support had a positive and significant correlation with job adjustment (r=0.431, β=0.146, and P=0.004), the score of this dimension in health-promoting lifestyle compared to the total score was evaluated lower than other dimensions.
Conclusion: Paying attention to eating habits, promoting responsibility regarding health, and strengthening relationships and interpersonal support among health care workers can increase the level of their job adjustment and lead to compliance with the work environment and effective implementation of new and different job duties in the conditions of the covid-19 pandemic.
A Pine in Distress: How Infection by Different Pathogenic Fungi Affect Lodgepole Pine Defenses
Authors: Zaman Rashaduz , Antonioli Federico , Shah Ateeq , Ullah Aziz , Erbilgin Nadir 
Published: May 2023

Abstract
In North America, lodgepole pine is frequently subjected to attacks by various biotic disturbances that compromise its ability to defend against subsequent attacks by insect herbivores. We investigated whether infections of lodgepole pine by different pathogenic fungal species have varying effects on its defense chemistry. We selected two common pathogens: Atropellis canker and western gall rust, affecting mature lodgepole pine trees in western Canada. We also included three ophiostomoid fungi associated with the mountain pine beetle, Grosmannia clavigera, Ophiostoma montium, and Leptographium longiclavatum because symbiotic fungi are commonly used to investigate induced defenses of host trees of bark beetles. We collected phloem samples from lodgepole pine trees infected with the rust or the canker, and healthy lodgepole pine trees in the same stand. We also inoculated mature lodgepole pine trees with the three fungal symbionts and collected phloem two weeks later when the defense chemistry at its highest level. All samples were analyzed for their terpene composition in gas chromatograph/mass spectrometry. Different pathogenic fungal species differentially altered the terpene chemistry of lodgepole pine trees. Western gall rust and the beetle-fungal symbionts altered the tree terpene chemistry in a similar fashion while trees responded to the infection by the Atropellis canker differently. Our study highlights the importance of considering specific biotic stress agents in tree susceptibility or resistance to the subsequent biotic attacks by insect herbivores, such as mountain pine beetle.
The Influence of Harmonious Conjugal Relationship on Education Expenditure
Authors: Wen Riguang , Rao Nuoyi , Chen Yi 
Published: May 2023

Abstract
As education is a national priority, it is of great significance to study the household influencing factors of education expenditure. This paper uses the 2018 China Family Panel Studies (CFPS) as a research sample to explore the impact of harmonious relationship on children's education expenditure. This paper finds that the harmonious relationship between husband and wife was significantly negatively correlated with children's education expenditure. The mechanism test found that the harmonious relationship between husband and wife affects education expenditure by influencing who oversees the household, and the more harmonious the relationship between husband and wife, the more inclined the family is to let the husband be in charge, and the husband is in charge of the family has a restraining effect on the education expenditure of children. This paper also uses heterogeneity and robustness tests to enrich the research conclusions. The conclusion of this paper deepens our understanding of the household influencing factors of education expenditure and can provide a theoretical reference for the state to solve the problem of education expenditure.
Factors associated with clinical practice stress of nursing students in China
Authors: Zheng Yan-xue , Jiao Jia-Ru , Hao Wen-Nv 
Published: May 2023

Abstract
Objective To investigate the stress and factors influencing nursing students' clinical practice through questionnaires, and to provide reference for relieving nursing students' practice stress and proposing effective coping strategies.
Methods A information questionnaire and a stress scale for internship nursing students were used to investigate 366 undergraduate internship nursing students in a tertiary-level general hospital in Inner Mongolia.
Results The total mean stress score of intern nursing students was (2.5±0.34), indicating that the overall stress level of intern nursing students was at a medium level, and family income and the way of choosing nursing specialty were the influencing factors of intern nursing students' stress.
Conclusion Nursing students are under greater stress during clinical practice, so it is necessary for nursing managers and educators to explore effective coping strategies to reduce nursing students' stress and improve their practice outcomes.
Single-port Vs Multi-port Robot-assisted Renal Surgery: Analysis of Perioperative Outcomes for Excision of High and Low Complexity Renal Masses
Authors: Berry James M. , Hill Hayden , Vetter Joel M. , Bhayani Sam B. , Henning Grant M. , Pickersgill Nicholas A. , Sivaraman Arjun , Figenshau R. Sherburne , Kim Eric H. 
Published: May 2023

Abstract
There is emerging but limited data assessing single-port (SP) robot-assisted surgery as an alternative to multi-port (MP) platforms. We compared perioperative outcomes between SP and MP robot-assisted approaches for excision of high and low complexity renal masses. Retrospective chart review was performed for patients undergoing robot-assisted partial or radical nephrectomy using the SP surgical system (n = 23) at our institution between November 2019 and November 2021. Renal masses were categorized as high complexity (7+) or low complexity (4–6) using the R.E.N.A.L. nephrometry scoring system. Adjusting for baseline characteristics, patients were matched using a prospectively maintained MP database in a 2:1 (MP:SP) ratio. For high complexity tumors (n = 12), SP surgery was associated with a significantly longer operative time compared to MP (248.4 vs 188.1 min, p = 0.02) but a significantly shorter length of stay (1.9 vs 2.8 days, p = 0.02). For low complexity tumors (n = 11), operative time (177.7 vs 161.4 min, p = 0.53), estimated blood loss (69.6.0 vs 142.0 mL, p = 0.62), and length of stay (1.6 vs 1.8 days, p = 0.528) were comparable between SP and MP approaches. Increasing nephrometry score was associated with a greater relative increase in operative time for SP compared to MP renal surgery (p = 0.07) using best of fit linear modeling. SP robot-assisted partial and radical nephrectomy is safe and feasible for low complexity renal masses. For high complexity renal masses, the SP system is associated with a significantly longer operative time compared to the MP technique. Careful consideration should be given when selecting patients for SP robot-assisted kidney surgery.
The minimally invasive anterolateral approach promotes faster rehabilitation than the lateral approach after total hip arthroplasty: a retrospective case-control study of Asian patients
Authors: Gao Zongyan , Huang Jincheng , Chen Xiao , Gao Yanhua , Risitano Salvatore , Oremus Kresimir , Zheng Jia , Jin Yi 
Published: May 2023

Abstract
Background: This study sought to compare the differences in the early postoperative clinical outcomes of Asian patients who underwent total hip arthroplasty (THA) using the minimally invasive anterolateral approach (MIAL) or the lateral approach (LA).
Methods: This retrospective study examined the data of 80 consecutive patients who underwent THA between January 2020 and September 2021. Of the patients, the MIAL was used in 41 patients, and the LA was used in 39 patients. The modified Harris Hip Score (mHHS) survey and the 36-item Short-Form Health Survey (SF-36) were administered during the first 3 postoperative months. Surgical parameters, the time it took to complete indoor self-care activities, and complications were also analyzed.
Results: No significant differences were found in the patients’ baseline characteristics. At 5 days postoperatively, the mHHS, visual analogue scale (VAS) score, and positive rate of the Trendelenburg test were significantly better in the MIAL group than the LA group. The time it took to engage in indoor self-care was significantly shorter in the MIAL group than the LA group. At 6 weeks postoperatively, the results of the mHHS and the majority of the SF-36 items were significantly higher in the MIAL group than the LA group. At 12 weeks postoperatively, there was no statistical difference in the mHHSs between the two groups; however, the scores for most SF-36 items, except the vitality and emotional role items, were significantly higher in the MIAL group than the LA group. The complication rates were comparable between the two groups.
Conclusions: The MIAL facilitated quicker recovery for Asian patients, who showed earlier indoor self-care, better hip function, and better health related quality of life; however, the complication rates of the MIAL and LA groups were comparable.
T-ARX Model for Nonlinear Discrete System Prediction Based on A Hybrid Modelling Method
Authors: Peng Tianbo , Peng Hui , Liu Fang , Tian Binbin 
Published: May 2023

Abstract

A suited model is meaningful for controlling a plant. A nonlinear model composed of deep neural network impedes the application of the mature controlling methods because of its complex formation, though it may predict precisely. To model a nonlinear and dynamic system with local-linearity and global-nonlinearity, a hybrid model named T-ARX (Transformer Auto-Regression model with eXogenous variables) with good long-term prediction accuracy is proposed in this paper. The T-ARX model is one kind of SD-ARX (State Dependent ARX) model with the coefficients of regression inputs estimated by a deep Transformer network, so that the nonlinear dynamics of plant could be captured. Meanwhile, the model takes state and action sampled from a period of time as its inputs and possesses the pseudo linear structure. When its coefficients are fixed at the sample time, it can be reformed as a discrete state-space model which is quite meaningful for controller design. Because the mask is applied to the input sequence, the model can be trained through parallel schemes, thus the short-term and long-term prediction ability can be trained. To demonstrate the feasibility of the proposed model in both fast-responding and slow-responding system, four experiments were conducted on a quad-rotor helicopter, a maglev ball system, a simulated inverted pendulum, and the Box-Jenkins gas furnace data, respectively. The results demonstrate the superiority of the proposed model over RBF-ARX model and some others in one-step-ahead prediction and multi-step-ahead prediction and show the feasibility of this model.
Chitosan capped MSNs as a carrier of quercetin: Preparation, release kinetic study and cytotoxicity assay on osteosarcoma cancer cell line
Authors: Keshavarz Masoumeh , Nasab Navid Ahmadi , Mozafari Masoud 
Published: May 2023

Abstract
Mesoporous silica nanoparticles (MSNs) have received particular attention in drug delivery applications during recent years. In this study, we successfully synthesized MCM-41 MSNs by sol-gel method. Chitosan polymer as a pH-sensitive capping was coated on MSNs by (3-Glycidyloxypropyl)trimethoxysilane (GPTMS) crosslinker and quercetin (Que) as a compound with anticancer properties was loaded into prepared nanoparticles (Que@Cs-MSNs) for the first time. The structural characteristics and physicochemical properties were investigated by small-angle X-ray diffraction (SAXS), Nitrogen adsorption-desorption, transmission electron microscopy (TEM), field emission scanning electron microscopy (FESEM) and Fourier transform infrared (FTIR) methods. Accordingly, the pore size of the hexagonal silica structure was found to be about 3.5 nm, and the dimensions of the Que@Cs-MSNs were calculated to be about 185 nm. The release behavior and release kinetics were studied at pH of 5 and 7.4 and the results showed that the presence of the chitosan coating due to its pH-sensitive nature, in addition to affecting the release rate, caused a change in the release kinetics due to swelling in acidic pH. Also, the results of the cytotoxicity test using MTT assay demonstrated that Que@Cs-MSNs show a higher anticancer effect compared to free Que against G-292 osteosarcoma cancer cells after 72 hours of incubation.
High-strength concrete compressive strength prediction using an evolutionary computational intelligence algorithm
Authors: Jibril M. M , Malami Salim Idris , Muhammad U. J , Bashir Abba , Usman A. G. , Rotimi Abdulazeez , Ibrahim A. G , abba Sani isah 
Published: May 2023

Abstract
The most crucial mechanical property of concrete is compression strength (CS). Insufficient compressive strength can therefore result in severe failure and is very difficult to fix. Therefore, predicting concrete strength accurately and early is a key challenge for researchers and concrete designers. High-Strength Concrete (HSC) is an extremely complicated material, making it challenging to simulate its behaviour. The CS of HSC was predicted in this research using an Adaptive Neuro-fuzzy Inference system (ANFIS), Backpropagation neural networks (BPNN), Gaussian Process Regression (GPR), and NARX neural network (NARX) In the initial case, whereas in the second case, an ensemble model of k-Nearest Neighbor (k-NN) was proposed due to the poor performance of model combination M1 & M2 in ANFIS, BPNN, NARX and M1 in GPR. The output variable is the 28-day CS (MP) and the input variables are cement (Ce) Kg/m3, water (W) Kg/m3, superplasticizer (S) Kg/m3, coarse aggregate (CA) Kg/m3, and Fine aggregate (FA) Kg/m3. The outcomes depict that the suggested approach is predictively consistent for forecasting the CS of HSC, to sum up. The MATLAB 2019a toolkit was employed to generate the MLs learning models (ANFIS, BPNN, GPR, and NARX), whereas E-Views 11.0 was used for pre-and post-processing of the data, respectively. The model for BPNN and NARX modelling was trained and validated using MATLAB code. The outcome depicts that, the Combination M3 partakes the preeminent performance evaluation criterion when associated to the other models, where ANFIS-M3 prediction outperforms all other models with NSE, R2, R = 1, and MAPE = 0.261 & 0.006 in both the calibration and verification phases, correspondingly, in the first case, In contrast, the ensemble of BPNN and GPR surpasses all other models in the second scenario, with NSE, R2, R = 1, and MAPE = 0.000, in both calibration and verification phases Comparisons of total performance showed that the proposed models can be a valuable tool for predicting the CS of HSC.
Trajectory generation algorithms for local destruction methods in robotic surgery
Authors: Pershin Andrew , Klimov Daniil , Prokhorenko Leonid , Grigorieva Elena , Astakhov Dmitry , Poduraev Yuri , Panchenkov Dmitry 
Published: May 2023

Abstract

Background: According to current data, 90% of liver cancers are hepatocellular carcinoma (HCC) which remains a global health challenge. Radiofrequency ablation (RFA) is one of the most used ablative techniques that shows promising results with small HCC tumors.
Aim: To improve the efficiency of RFA on large HCC tumors, it is proposed to carry out computer simulations to plan a robotic operation.
Methods: Based on anonymized medical data, we developed a set of algorithms for planning robotic RFA electrode insertion.
Results: Numerical and visual evaluations showed the possibility of achieving complete tumor coverage and constructing a trajectory with various restrictions (bones, vessels, etc.).
Conclusions: The proposed set of algorithms allows automatic planning of sequential needle placement with multiple interdependent insertions for a predictable, minimally invasive procedure.
Racial/Ethnic differences in receipt of naloxone distributed by opioid overdose prevention programs in New York City
Authors: Nolen Shayla , Trinidad Andrew J. , Jordan Ashly E. , Green Traci C. , Jalali Ali , Murphy Sean M. , Zang Xiao , Marshall Brandon D.L. , Schackman Bruce R. 
Published: May 2023

Abstract
Introduction: We evaluated racial/ethnic differences in the receipt of naloxone distributed by opioid overdose prevention programs (OOPPs) in New York City (NYC).
Methods: We used naloxone recipient racial/ethnic data collected by OOPPs from April 2018 to March 2019. We aggregated quarterly neighborhood-specific rates of naloxone receipt and other covariates to 42 NYC neighborhoods. We used a multilevel negative binomial regression model to assess the relationship between neighborhood-specific naloxone receipt rates and race/ethnicity. Race/ethnicity was stratified into four mutually exclusive groups: Latino, non-Latino Black, non-Latino White and non-Latino Other. We also conducted racial/ethnic-specific geospatial analyses to assess whether there was within-group geographic variation in naloxone receipt rates for each racial/ethnic group.
Results: Non-Latino Black residents had the highest median quarterly naloxone receipt rate of 41.8 per 100,000 residents, followed by Latino residents (22.0 per 100,000), non-Latino White (13.6 per 100,000) and non-Latino Other residents (13.3 per 100,000). In our multivariable analysis, compared with non-Latino White residents, non-Latino Black residents had a significantly higher receipt rate and non-Latino Other residents had a significantly lower receipt rate. In the geospatial analyses, both Latino and non-Latino Black residents had the most within-group geographic variation in naloxone receipt rates compared to non-Latino White and Other residents.
Conclusions: This study found significant racial/ethnic differences in naloxone receipt from NYC OOPPs. We observed substantial variation in naloxone receipt for non-Latino Black and Latino residents across neighborhoods, indicating relatively poorer access in some neighborhoods and opportunities for new approaches to address geographic and structural barriers in these locations.
Design and modelling of a standing surface acoustic wave-based microdevice for whole blood cell separation
Authors: Hajimoradi Maryam , Gevari Moein Talebian , Mojaddam Mohammad 
Published: May 2023

Abstract
Standing surface acoustic wave (SSAW)-based acoustofluidics are widely used due to their compatibility with soft materials and polymer structures. In the presence of the acoustic field, particles move either toward pressure node or pressure anti node according to their contrast factor. Using this technique, blood cells with a certain characteristic can be oriented in different stream lines in microchannel. Combination of appropriate inlet velocity ratio of buffer solution to blood, frequency, voltage, and channel geometry are essential keys of separation in these microdevices. In this study, simultaneous separation of white blood cells, red blood cells, and platelets at one stage is proposed using numerical simulation. Linear constitutive equation for the piezoelectric substrate, Helmholtz equation for the acoustic field, and Navier-stokes equation for fluid mechanics are solved simultaneously to precisely capture the blood cell behavior in the SSAW-based device. Results show that whole blood cells separation can be achieved by a velocity ratio of 6.25, a resonance frequency of 8.28 MHZ, and a voltage of 8.5v through the proposed five-outlet channel microchip.
Left Ventricular Fibrosis and CMR Tissue Characterization of Papillary Muscles in Mitral Valve Prolapse Patients
Authors: Spampinato Ricardo A. , Marin-Cuartas Mateo , Kampen Antonia , Fahr Florian , Sieg Franz , Strotdrees Elfriede , Jahnke Cosima , Klaeske Kristin , Wiesner Karoline , Morningstar Jordan E. , Nagata Yasufumi , Izquierdo-Garcia David , Dieterlen Maja-Theresa , Norris Russell A. , Levine Robert A. , Paetsch Ingo , Borger Michael A. 
Published: May 2023

Abstract
Purpose. Mitral valve prolapse (MVP) is associated with left ventricle (LV) fibrosis, including the papillary muscles (PM), which is in turn linked to malignant arrhythmias. This study aims to evaluate comprehensive tissue characterization of the PM by cardiovascular magnetic resonance (CMR) imaging and its association with LV fibrosis observed by intraoperative biopsies.
Methods. MVP patients with indication for surgery due to severe mitral regurgitation (n=19) underwent a preoperative CMR with characterization of the PM: dark-appearance on cine, T1 mapping, conventional bright blood (BB) and dark blood (DB) late gadolinium enhancement (LGE). CMR T1 mapping was performed on 21 healthy volunteers as controls. LV inferobasal myocardial biopsies were obtained in MVP patients and compared to CMR findings.
Results. MVP patients (54±10 years old, 14 male) had a dark-appearance of the PM with higher native T1 and extracellular volume (ECV) values compared with healthy volunteers (1096±78ms vs 994±54ms and 33.9±5.6% vs 25.9±3.1%, respectively, p<0.001). Seventeen MVP patients (89.5%) had fibrosis by biopsy. BB-LGE+ in LV and PM was identified in 5 (26.3%) patients, while DB-LGE+ was observed in LV in 9 (47.4%) and in PM in 15 (78.9%) patients. DB-LGE+ in PM was the only technique that showed no difference with detection of LV fibrosis by biopsy. Posteromedial PM was more frequently affected than the anterolateral (73.7% vs 36.8%, p=0.039) and correlated with biopsy-proven LV fibrosis (Rho 0.529, p=0.029).
Conclusions. CMR imaging in MVP patients referred for surgery shows a dark-appearance of the PM with higher T1 and ECV values compared with healthy volunteers. The presence of a positive DB-LGE at the posteromedial PM by CMR may serve as a better predictor of biopsy-proven LV inferobasal fibrosis than conventional CMR techniques.