bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship between burnout, job performance and nurse-patient interaction in Taizhou, China
Authors: Yang Yu-pei , Wu Wei-dan , Ke Zi-wei , Jiesisibeike Zhu Liduzi , Tung Tao-Hsin 
Published: September 2023

Abstract
Purpose: To explore the relationship between burnout, job performance and nurse-patient interaction in Taizhou, China.
Methods: A cross-sectional survey was used with a Caring nurse-patient interaction scale, effort/reward imbalance scale, Maslach Burnout Inventory Human Service Survey and self-rated performance scale. A total of 503 nurses were recruited. Multivariate linear regression was used to analyze the association between components in burnout, job performance and nurse-patient interaction.
Results: The mean nurse-patient interaction score was 104.30±11.60. Multivariate linear regression analysis revealed that depersonalization (β= -0.60, P<0.001, 95%CI: -0.87, -0.34) was negatively associated with nurse-patient interaction. Personal accomplishment (β= 0.17, P=0.002, 95%CI: 0.06, 0.28), and job performance (β= 0.22, P < 0.001, 95%CI: 0.14, 0.31) were both positively related to nurse-patient interaction after adjustment for confounding factors.
Conclusion: Depersonalization, personal accomplishment and job performance were significantly related to nurse-patient interaction among clinical nurses.
An Improved YOLOv5s Model Based on DeepSORT for Pedestrian Detection and Tracking
Authors: Zheng Bowen , Shen Yunchang , Lu Huacai 
Published: September 2023

Abstract

Various problems afflict the complex network structures that are implemented in pedestrian detection and tracking applications, including a large number of parameters, lengthy training times, and slow running speeds. This is especially true when current algorithms are used on mobile devices. In this study, we proposed an improved pedestrian detection and tracking model based on YOLOv5s detection and DeepSort tracking and used the video Mosaic algorithm based on the scale-invariant feature transform (SIFT) algorithm to expand the scope of pedestrian detection and tracking by addressing the aforementioned problems. We implemented MnasNet_P, cavity convolution, and SPP layers in our model. The Mish activation function replaced the LeakyReLU activation function to improve the generalizability of the model. A depth-separable convolution was introduced to replace the standard convolution of residual edges in the C3_1 structure, reducing the number of network parameters. Shufflenetv2_x1.5 was introduced as a pedestrian appearance feature extraction network, further reducing the number of network parameters while maintaining high tracking accuracy. Finally, we used the video splicing algorithm based on SIFT to expand the range of pedestrian tracking. Application of our model to public datasets demonstrated an improvement of 2.71% in average accuracy and an improvement of 30.7% in the FPS rate. Experimental results obtained with the MOT16 dataset demonstrated a substantially reduced model size while maintaining a high tracking accuracy, indicating that our algorithm is suitable for pedestrian tracking on mobile terminals or embedded devices. The real-time video stitching method based on SIFT expanded the tracking range of pedestrians.
An analysis of Medical Emergency Team (MET) activated events and goals of care trajectories across the General Medical In-patient journey
Authors: Perera Padeepa , Rotherham Hannah , Fazio Timothy , Johnson Douglas , Presneill Jeffrey 
Published: September 2023

Abstract

Background/Aims:
We aimed to evaluate the characteristics, predictors for, and outcomes of Medical Emergency Team (MET) activated events, and identify associations with Goals of Care (GOC) changes across the General Medical admission.
Methods:
A 12-month retrospective observational study was conducted at Royal Melbourne Hospital (January-December-2021), comparing General Medical admissions requiring METs versus those not.
Results:
423 (9.2%) of 4594 identified admissions required METs; MET patients had higher Charlson comorbidity index (CCI) score (2 vs 1), ICU admission (19.4% vs 5.5%), and length of stay (16.6 vs 5.8 days). MET patients were associated with increased inpatient mortality (9.9% vs 1.6%), more conservative GOC at admission end (45.4% vs 35.5% GOC C/D), and only 44.4% (vs 70.9%) were discharged to independent living.
The most significant independent predictor for METs was higher CCI score: Score 1-2; OR 1.63 (p=0.01), Score >=3; OR 3.61 (p=<0.001). Increasing age (by decade) was associated with reduced METs (OR 0.89, p=0.01). Higher CCI score was also associated with increased in-patient mortality: Score 1-2; OR 5.51 (p=0.01), Score >=3; OR 15.35 (p=<0.001).
The occurrence of a MET (OR 0.25, p=<0.001), higher CCI score (CCI>=3; OR 0.44, p=<0.001), and advancing age (>=90 years; OR 0.24, p=<0.001) were independently associated with increased conservative GOC at admission end.
Conclusion:
General Medical inpatients requiring METs had higher co-morbidities, length of stay and inpatient mortality, with less likelihood of discharge to independent living. Increasing CCI score was an independent predictor for METs, in-patient mortality, and a change towards more conservative GOC at admission end.
Predictive Value of Jugulo-omohyoid Lymph Nodes in Lateral Lymph Node Metastasis of Papillary Thyroid Cancer
Authors: Cai Huizhu , Zhuge Lingdun , Huang Zehao , Wang Shixu , Shi Ping , Yan Dangui , Li Zhengjiang , Niu Lijuan 
Published: September 2023

Abstract
Background: Jugulo-omohyoid lymph nodes (JOHLN) metastasis has proven to be associated with lateral lymph node metastasis (LLNM). This study aimed to reveal the clinical features and evaluate the predictive value of JOHLN in PTC to guide the extent of surgery.
Methods: A total of 550 patients pathologically diagnosed with PTC between October 2015 and January 2020, all of whom underwent thyroidectomy and lateral lymph node dissection, were included in this study.
Results: Thyroiditis, tumor location, tumor size, extra-thyroidal extension, extra-nodal extension, central lymph node metastasis (CLNM) and LLMM were associated with JOHLN. And male, upper lobe tumor, multifocality, extra-nodal extension, CLNM and JOHLN metastasis were independent risk factors from LLNM. A nomogram based on upon predictors performed well. Nerve invasion contributed the most to the prediction model, followed by JOHLN metastasis. The area under the curve (AUC) was 0.855, and the p-value of the Hosmer-Lemeshow goodness of fit test was 0.18. Decision curve analysis showed that the nomogram was clinically helpful.
Conclusion: JOLHN metastasis could be a clinically sensitive predictor of further LLM. A high-performance nomogram was established, which can provide an individual risk assessment of LNM and guide treatment decisions for patients.
Indian Female Non-Business Graduate Students’ Experience: Understanding of Commercial Acumen Skills and Relevance to Employment
Authors: Clarke Andy , Bhutani Manisha , Thakore Renuka , Chaudhary Vishal 
Published: September 2023

Abstract
Indian female graduate students have to make choices among multiple aspects of their mental and physical abilities as science students and women in a society with different gender norms in the country. However, their experiences have not been well researched within the scholarship on commercial acumen. In this study, using the phenomenological approach, we explored the phenomenon of commercial acumen in the Indian female graduates studying science course meaning non-business course. The participants were diverse in terms of their status as students, current students and alumni. A small number of employers also participated in the study. A survey with open-ended and closed questions was used to evaluate the understanding and relevance of commercial acumen skills in the female graduate students, alumni, and employers. The findings of 127 responses indicated that the female graduate students perceived being on the non-business course as a limited experience of understanding of commercial acumen in the context of employability skills. This study recommends a reflection on the part of the educators to highlight the relevance and definition of commercial acumen during degree programmes.
On the modelling of peeling growth using damage models between elasto-viscoplastic film and elastic substrate
Authors: Belarbi Abderrahmane , Bouhamida Bachir , Bennegadi Mohame Larbi 
Published: September 2023

Abstract
In recent years, there is an increasing trend of use the cohesive zone model (CZM) procedure in peeling test computing the separation energy between the film and the substrate. In this paper, an original technique expressed a failed zone method (FZM) is developed in order to determine in peeling model the progressive failure path in two materials interface. This approach is based on accumulated plastic strain computation leading to a full damage at the root of debonded interface between ductile film and rigid substrate. This damaged zone procedure is numerically conducted by finite element method program based on the release of fully damaged node to separate the connected elements creating a cracking path. In this analysis, a nonlinear damage evolution law is proposed in comparison with Lemaitre and Goijaerts locally accumulated damage models taking into account the materials properties, substrate elastic behaviour and film elasto-viscoplastic constitutive law. In one hand, the proposed damage model is in good agreement with both models and in the other hand this approach reflects perfectly step-by-step the peel growth of ductile film from rigid matrix.
A novel method for solving nonmonotone equilibrium problems
Authors: Huyen Thanh Tran Thi , Duc Manh Hy , Thanh Ha Nguyen Thi , Van Dinh Bui 
Published: September 2023

Abstract

In this paper, we propose a novel projection method for finding a solution of equilibrium problems EP($C, f$) in Euclidean spaces in which the bifunction does not require to be satisfied any monotonicity. Unlike methods for solving such a problem used in the literature, shrinking projection methods which may raise cost of computation, we suggest using an adaptive projection method incorporate with linesearch procedures to solve these problems when the bifunction does not satisfy the Lipschitz type condition. These linesearches are unnecessary when $f$ satisfies the Lipschitz type condition with constants $L_1$ and $L_2$. In case these constants are unknown, we propose to use the adaptive step sizes. All algorithms are proven to converge to a solution of the considered problem, and some numerical examples are also reported to illustrate the efficiency of the proposed algorithms.
Mathematics Subject Classification (2000) 90C26 · 90C33 · 47J20 · 65K15 · 65J20
Relation between blood pressure time in range and composite cardiovascular disease in patients with primary aldosteronism: a retrospective study
Authors: Yan Fangfang , Yu Huangdao , Lan Liping , Xu Ziqing , Zeng Jingyang , Huang Bingkun , Liu Changqin , Li Xuejun , Lin Mingzhu 
Published: September 2023

Abstract

Purpose: To investigate the association between blood pressure (BP) time in range (TIR) and composite cardiovascular disease (CVD) in patients with primary aldosteronism (PA).
Methods: Between January 2019 and December 2021, 47 patients with PA were recruited from the First Affiliated Hospital of Xiamen University. Twenty-four-hour ambulatory BP monitoring (ABPM) and composite CVD events were assessed in all patients.
Results: The mean age of the patients was 48.8 ± 11.4 years. Compared to PA without composite CVD events, the nighttime systolic BP TIR [31.2% (6.2%, 81.2%) vs. 11.5% (0.0%, 29.7%), p = 0.02] and DDDs of antihypertensive medication [2.0 (1.0, 2.8) vs. 1.0 (1.0, 2.0), p = 0.03] were lower in PA patients with composite CVD events, while higher glucose (5.0 ± 1.0 mmol/L vs. 5.9 ± 1.5 mmol/L) and prevalence of a history of alcohol intake was higher in PA patients with composite CVD events. There were no differences in age, sex, BMI, smoking, duration of hypertension, lipid levels, aldosteronism, clinic BP, 24-hour mean BP, daytime or nighttime BP, percentage of nocturnal SBP or DBP decline, 24-hour BP TIR, daytime BP TIR, or nighttime DBP TIR between the two groups. After adjusting for confounding factors, nighttime systolic BP TIR was significantly associated with composite CVD events (adjusted OR = 0.92 [95% CI 0.86, 0.99]) in multiple logistic regression analysis.
Conclusion: Patients with PA and composite CVD events had lower nighttime SBP TIR, suggesting that nighttime BP TIR may be a significant predictor of the prognosis of composite CVD events.
Accuracy Improvement of Knowledge Transfer from Private Training Data with PATE
Authors: Luo Wei , Tang Fei , Ling Guowei , Shan Jinyong 
Published: September 2023

Abstract

Some machine learning applications involve sensitive training data, such as the medical histories of patients in a clinical trial. A model may inadvertently and implicitly store some training data and careful analysis of the model may reveal the sensitive information. To address this problem, Papernot et al. proposed Private Aggregation of Teacher Ensembles (PATE) framework. PATE transfers the knowledge from the teacher model to the student model with teachers training on disjoint data and privacy guaranteed by noisy aggregation of teachers? predictions. However, PATE has a limit that it requires disjoint training data for a large number of teachers. If the number of teachers is small, then the student model has a poor accuracy. To address the issue of the PATE, we propose an efficient algorithm to improve the student accuracy when the number of teachers is small. In order to validate the performance of our algorithm, we conduct a series of experiments on MNIST and BreastCancer. The evaluation shows our algorithm improves on the original PATE with both high accuracy and strong privacy. For example, when the number of teachers n = 50 and the privacy budget = 3.76, the student of our algorithm achieves 92.1% accuracy while the original PATE only has 60.0%.
Non-destructive testing of steel pipes that are long-term exploited according by statistical hardness parameters
Authors: Goncharov Nikolai , Osipov Sergey , Brusnik Oleg 
Published: September 2023

Abstract

The features of non-destructive testing of steel pipes with a long service life in terms of dynamic hardness parameters are considered. The limited applicability of normal and lognormal distributions, the Weibull and Gumbel distributions to describe the distribution density of hardness estimates for steels that have been in long-term operation in harsh meteorological and functional conditions of Siberia and the Far North is shown. A number of experiments were carried out on the formation of digital images of the hardness distribution over the surface of the tested products. Hypotheses are formulated regarding the use of such images to assess the current technical state of metal products and the dynamics of its change. The possibility of describing the hardness of steel specimens used for a long time in difficult conditions of Siberia by a weighted sum of two normal distributions has been experimentally proved.
Computational Assessment of Spectral Heterogeneity within Fresh Glioblastoma Tissue Using Raman Spectroscopy and Machine Learning Algorithms
Authors: Klein Karoline , Klamminger Gilbert Georg , Mombaerts Laurent , Jelke Finn , Arroteia Isabel Fernandes , Slimani Rédouane , Mirizzi Giulia , Husch Andreas , Frauenknecht Katrin B.M. , Mittelbronn Michel , Hertel Frank , Kleine-Borgmann Felix Bruno 
Published: September 2023

Abstract
Understanding and classifying inherent tumor heterogeneity is a multimodal approach, which can be undertaken at the genetic, biochemical, or morphological level, among others. Optical spectral methods such as Raman Spectroscopy aim at rapid and non-destructive tissue analysis, where each spectrum generated reflects the individual molecular composition of an examined spot within a (heterogenous) tissue sample. Using a combination of supervised and unsupervised machine learning methods as well as a solid database of Raman spectra of native glioblastoma samples, we succeed not only in distinguishing explicit tumor areas - vital tumor tissue and necrotic tumor tissue can correctly be predicted with an accuracy of 76% - but also in determining and classifying different spectral entities within the histomorphologically distinct class of vital tumor tissue. Measurements of non-pathological, autoptic brain tissue hereby serve as a healthy control since their respective spectroscopic properties form an individual and reproducible cluster within the spectral heterogeneity of a vital tumor sample. The demonstrated decipherment of a spectral glioblastoma heterogeneity will serve valuable especially in the field of spectroscopically guided surgery to delineate tumor margins and to assist resection control.
Fourier Tools for the Evaluation of Refractive Multifocal Designs
Authors: Gracia Pablo 
Published: September 2023

Abstract

Tools and methods for the theoretical evaluation of optical properties of refractive multifocal commercial designs are presented, which use segmentation techniques to divide the pupil and classical Fourier optics. They can be applied to refractive designs such as multifocal contact lenses and intraocular lenses as well as to the study of small aperture designs and corneal inlays. In this paper, the optical profiles of 12 multifocal, commercially available, contact lenses from four companies were measured with the help of the NIMO equipment (LAMBDA-X). The corresponding through-focus Visual Strehl ratios were computed in the frequency domain to quantify image quality as a single scalar value. The multifocal properties of each of the commercial contact lenses were evaluated for three different base prescriptions (-6.00 D, -3.00 D, and + 1.00 D) in 65 patients. The contact lenses of this study were also evaluated in conjunction with the higher-order aberrations obtained from 65 eyes collected by using a standard Shack-Hartmann sensor. The diameters used for the evaluation of the contact lenses varied according to each eye’s pupil size (from 2.45 to 6.27 mm). The proposed tools have allowed us to evaluate multifocal solutions in a theoretical manner without the necessity of creating prototypes. They helped us differentiate between lenses created for young and old presbyopes, instructed the proper utilization of hyperfocal distance in the field of contact lens design, and demonstrated the importance of the effective aperture effect. This is the first proposed method that converts sagittal powers of multifocal solutions into their equivalent optical quality metric. It can be applied to the evaluation of myopia control methods. It is the author’s hope that the reader appreciates the tools presented and uses them to further the field of refractive multifocality.
Regulation of The antibiotic Elution Profile from Tricalcium Phosphate Bone Cement by Addition of Bioactive Glass
Authors: Elwan R. L. , Farag Mohammad M. , Abdelraof Mohamed , El-Hamid H. K. Abd 
Published: September 2023

Abstract
Bioactive glass (BG) synthesized by melt-quenching technology, was added in amounts of 5, 10, 15, and 20 weight percent to β-tri-calcium phosphate cement (β-TCP), which was made via a solid state reaction. The cement and its composites' bioactivity behavior was assessed by soaking them in simulated body fluid (SBF) at 37 ± 0.5°C for 28 d. Measurements were made to determine the physico-mechanical characterizes of cement and its composites. After soaking, the pH and concentrations of Ca, and P ion of the SBF solution were estimated. X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM) combined with energy dispersive spectroscopy (EDS) were used to analyze the structure. Furthermore, by loading gentamicin onto the samples and studying their release profile, the possibility of using them as a drug carrier was explored. A drug release profile that is sustained by all samples was achieved. Addition of bioactive glass to β-TCP decreased drug release rate. Additionally, the antimicrobial property (both bacterial and fungal pathogens) was also assessed. This makes these substances ideal choices for limiting the growth of bacteria once they are implanted in teeth or bone. The results showed that after being submerged in SBF solution, the materials under study develop a layer of hydroxyapatite (HA). It should be highlighted that adding more BG to the current cement composition enhances the material's mechanical and bioactivity characteristics.
An algorithm using edge attribution and bilateral scanning to generate spherical raster Voronoi diagrams
Authors: Song Zhixue , Wang Lei , Zhao Hanxu , Zhang Pengfei , Yin Nan 
Published: September 2023

Abstract
The spherical Voronoi diagram is an important research field in computational geometry, and the method that generates it is a key technology. Most spherical raster algorithms are extensions of planar algorithms. The attribution determination algorithm is one of the most accurate spherical raster Voronoi algorithms. However, it deals inefficiently with large amounts of data. To overcome this issue, a spherical Voronoi diagram generation algorithm that combines edge attribution with bidirectional scanning based on octahedral subdivision is proposed. A coordinate conversion method is built to perform coordinate transformation between latitude–longitude and Cartesian coordinates. The Voronoi attributions of edge grids are determined by computing and comparing the distances to all the sites. A 3×3 template is designed for forward scanning, where grids obtain attributions from their neighbors. Reverse error correction scanning is conducted based on the forward scanning result to guarantee that all grids are correctly assigned. Experiments were conducted to compare the proposed algorithm with the attribution determination algorithm, showing that it has the same accuracy while saving more than 40% of computations. The efficiency advantage of the proposed algorithm becomes more obvious at higher resolutions.
Integrating transcriptomics and metabolomics to analyze the protective effect of taurine on doxorubicin-induced depression
Authors: Li Yanan , Wei Shanshan , Liang Benhui , Chu Xue , Wang Lei , Liu Hui , Liao Dehua , Liu Daotong , Jiang Pei , Yao Jia 
Published: September 2023

Abstract
Objective: Doxorubicin (Dox) is an effective anticancer drug with potent antitumor activity. However, the application of Dox is limited by its adverse reaction, including depression. Taurine can alleviate depression induced by multiple factors. It is still unclear if and how taurine improves DOX-induced depression.
Methods: Mice were randomly divided into three groups (n = 4): (1) the control group, (2) the DOX group, and (3) the DOX+Taurine group. The open field test (OFT), elevated plus maze test (EPM), and forced swim test (FST) were first performed to assess the effects of Dox and taurine on the behavior of mice. Next, a combined transcriptomic and metabolomic analysis was performed to analyze the possible anti-depressive effect of taurine.
Results: Taurine pretreatment increased the total travel time of mice in OFT and the time spent in the open arm in the EMP test and reduced the immobility time in FST. In addition, 201 differential genes and 51 differential metabolites were detected in the DOX+Taurine group compared to the DOX group. Furthermore, differential genes and differential metabolites were detected to be jointly involved in 21 pathways, which may be closely related to the antidepressant effect of taurine.
Conclusions: Taurine alleviated DOX-induced depressive behavior. The various pathways detected in this study such as serotonergic synapse, and the inflammatory mediator regulation of TRP channels may be key regulatory pathways related to depression and antidepressant effects.