bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Psychometric Evaluation of the Swedish Translation of the Perceived Stress Scale: A Rasch Analysis
Authors: Rozental Alexander , Forsström David , Johansson Magnus 
Published: March 2023

Abstract
Background: Stress reflects physical and psychological reactions to imposing demands and is often measured using self-reports. A widely-used instrument is the Perceived Stress Scale (PSS), intended to capture more general aspects of stress. A Swedish translation of the PSS is available but has not previously been examined using modern test theory approaches, such as Rasch analysis.
Methods: The current study used data from 793 university students to investigate the dimensionality of different version of the PSS (14, 10, and 4 items) as well as potential response patterns among the participants.
Results: The current study demonstrates that the PSS-14 has two separate factors, divided between negatively worded items (stress) and positively worded items (self-efficacy), although with only the negative subscale exhibiting good reliability. Response patterns were analyzed using Differential Item Functioning analysis, which did not find an influence of gender on the perceived difficulty of the items, but for age regarding the positive subscale (items 6 and 9). The PSS-10 also demonstrated adequate reliability for the negative subscale, but the PSS-4 was not deemed suitable as a unidimensional scale.
Conclusions: Based on the results, none of the versions of the PSS should be used by sum-scoring all of the items. Only the negative items from the PSS-14 or PSS-10 can be used as unidimensional scales to measure general aspects of stress. Content validity is discussed, questioning the relevance of anger and being upset when measuring more general aspects of stress. Finally, a table to convert the PSS-7 ordinal sum scores to interval level scores is provided.
Big data simulation of science and technology finance supporting Shaanxi urban-rural integration development based on BP neural network algorithm
Authors: Yuling Shi 
Published: March 2023

Abstract
In the context of the current era, if China wants to implement the strategic goal of rural revitalization, it must promote the integrated development of urban and rural areas. This paper takes Shaanxi Province as the main research goal, which is at the strategic intersection of the "the Belt and Road", has an important position, can affect the process of regional coordination and urban and rural integration throughout the country, and is a major province of characteristic agriculture and a national transportation hub. In this context, this paper uses BP neural network algorithm to simulate and analyze the coordinated development of urban and rural areas based on the actual development of science and technology finance in Shaanxi Province. After obtaining the economic status data of the province, this paper builds a regional characteristic platform that can provide targeted science and technology finance services, which can achieve diversified processing, complete multi entity fund supply and maintain the transparency of information between the supply and demand sides. Based on the field survey and literature review and analysis, it can be seen that the ten prefecture level cities included in the study area and province have different levels of coordinated development of urban and rural economy, and there is a Matthew effect characteristic of uneven strength, so the regional differences show a weakening feature, and they need to be adjusted gradually to make them develop in an orderly manner. Based on the research conclusion, this paper carries out the construction of urban-rural economic coordinated development and scientific and technological financial model support, and analyzes the financial support function and actual effect of the province in detail. In this paper, the BP neural network algorithm is applied to the integration of urban and rural development in Shaanxi Province to conduct big data simulation for science and technology finance.
A high fidelity approach to assembling the complex Borrelia genome
Authors: Hepner Sabrina , Kuleshov Konstantin , Tooming-Kunderud Ave , Alig Nikolas , Gofton Alexander , Casjens Sherwood , Rollins Robert E. , Dangel Alexandra , Mourkas Evangelos , Sheppard Samuel K. , Wieser Andreas , Hübner Johannes , Sing Andreas , Fingerle Volker , Margos Gabriele 
Published: March 2023

Abstract
Background: Bacteria of the Borrelia burgdorferi sensu lato (s.l.) complex are the causative agents of Lyme borreliosis. These pathogens are maintained in transmission cycles between tick vectors of the Ixodes ricinus–persulcatus species complex and vertebrate reservoir hosts. Different B. burgdorferi s.l. genospecies vary in their host and vector associations and human pathogenicity but the genetic basis for these adaptations is unresolved and requires completed and reliable genomes for comparative analyses. Linear and circular plasmid genes are associated with host/vector interactions but assembling complete plasmids is challenging due to the high levels of complexity and sequence homology.
Here, using recently developed high-fidelity (HiFi) PacBio sequencing, we explored strategies to obtain gap-free, complete and high quality Borrelia genomes. For this, we sequenced and assembled three isolates belonging to three species within the B. burgdorferi s.l. complex (B. bavariensis, B. garinii and B. valaisiana). We investigated if use of HiFi reads will lead to substantial improvement of genome assemblies.
Results: Stand-alone sequencing and assembly methods are insufficient for the generation of complete and high quality Borrelia genomes. Optimizing genome assembly, quality control and refinement steps, we critically appraised existing techniques to create and ensemble an improved genome reconstruction pipeline.
Conclusion: Our study demonstrates that, with HiFi sequencing and an ensemble reconstruction pipeline with refinement steps, chromosomal and plasmid sequences can be fully resolved, even for complex genomes such as Borrelia. The presented pipeline may be of interest for the assembly of further complex microbial genomes.
Socioeconomic status and depressive symptoms among older adults in China: the mediating role of cognitive function, lifestyle and social participation
Authors: Liu Xiyu , Liu Huimin , Liu Dandan , Zhou Qianyu , Chen Jiajun , Liu Mengting , Sun Changqing 
Published: March 2023

Abstract
Introduction:Socioeconomic status (SES) is an important risk factor for depression in older adults, while cognitive function, lifestyle and social participation also have an impact on depression. The purpose of this study was to explore the mediating role of cognitive function, lifestyle and social participation in the association between SES and depressive symptoms.
Methods: This Data was obtained from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) (2017-2018). A total of 7595 participants at age 65 or older were included in this study. The 10-item of the Center for Epidemiologic Studies Depression Scale (CES-D-10) was used to measure depressive symptoms in older adults. SES was assessed using a composite index by considering the participant's education level, occupation, and economic status. Cognitive function was assessed by the Mini Mental State Examination (MMSE). The lifestyle and social participation scores were constructed by collecting information on relevant items in the questionnaire. Mediating effect analysis was used to explore the mediating effect of cognitive function, lifestyle and social participation in the association between SES and depression in older adults.
Results: The incidence of depressive symptoms was 41.1% among 7595 participants. SES negatively predicted depression in older adults (b = -0.887, P< 0.001) after controlling for sociodemographic variables and health status variables. In addition, SES had a significant mediating effect on depression in older adults through “cognitive function” (b = -0.071, 95%CI: -0.095~-0.048), “lifestyle” (b = -0.177, 95%CI: -0.213~-0.140) and “social participation” (b = -0.068, 95%CI: -0.095~-0.042), respectively.
Conclusion: It is necessary not only to change the disadvantaged status of SES of some elderly groups, but also to improve their cognitive level, advocate a healthy lifestyle and promote their active social participation.
Screening for Generalized Anxiety Disorder in Older Adults who visited an Outpatient Clinic in a Low-Resource Setting
Authors: Segura-Chorres Luis Angel , Tello-Rodriguez Tania , Galvez-Cano Miguel , Casas-Vasquez Paola Marcelina , Aliaga-Diaz Elizabeth Garby , Orrego-Ferreyros Luis Alexander , More-Bustos Hodaya Ana Carolina 
Published: March 2023

Abstract
PURPOSE:This study aimed to screen for Generalized Anxiety Disorder (GAD) in older adults who visited the outpatient clinic of a general hospital in Lima, Peru.
METHODS:We conducted a cross-sectional study between January and March 2014 in the outpatient services of the Cayetano Heredia Hospital (HCH). Adults aged ³60 years and who provided written informed consent were included. Patients with communication difficulties and cognitive impairment were excluded. We screened for GAD with a Spanish version of the Penn State Worry Questionnaire (PSWQ). In addition, other variables such as depressive symptoms, independence in performing daily activities and social support were explored.
RESULTS:Five hundred twenty-six older adults participated, 84.6% were between 60-79 years and 15.4% were ≥80 years. A positive screening for GAD was present in 23.2%, moderate-severe depressive symptoms in 11.7% and mild depressive symptoms in 33.8%. Older adults with moderate-severe depressive symptoms had 31.42 times the prevalence of a positive screen for GAD compared to those without depressive symptoms. In addition, older adults with social problem had 3.77 times the prevalence of a positive screen for GAD compared to those with adequate social support.
CONCLUSION: The screening for GAD was positive in almost one-quarter of older adults who visited the outpatient clinic of a general hospital. Depressive symptoms were present in approximately half of the study population.
Asynchronous Dichoptic Visual Perceptual Training for Patients with Primary Open-Angle Glaucoma: A Pilot Study
Authors: Li Jiameng , Huang Xin , Zhang Chun , Pu Mingliang , Xu Ke 
Published: March 2023

Abstract

Purpose
We aimed to observe changes in the visual function of patients with primary open-angle glaucoma (POAG) after undergoing binocular asynchronous visual training.
Methods
Seven patients with POAG with binocular visual field defects underwent binocular asynchronous dichoptic virtual reality (VR)-based visual perceptual training for 20 days (45 min/session/day, 5 sessions/week, for 4 weeks). Perimetry, contrast sensitivity (CS), and vision-related quality of life assessments were performed for all patients.
Results
Six months after completing training, nine of 14 eyes showed better performance in the perimetry (the mean deviation [MD] of perimetry was improved as compared to baseline), including six severe eyes and three mild POAG eyes. Moreover, the MD values of four of the nine eyes showed significant improvement (more than 1-dB increase as compared to baseline), including three severe eyes and one mild POAG eye. However, the MD values did not differ significantly between baseline and post-training. Contrast sensitivity tests, performed at three spatial frequencies (3, 6, and 18 cycles/degree) were significantly enhanced after asynchronous dichoptic training (p = 0.021, 0.026, and 0.020, respectively).
Conclusion
Patients with POAG, particularly those with severe POAG, performed significantly better in perimetry after training. All patients showed significantly improved performance on the CS tests. Improvements in visual function were sustained for at least 6 months. These results suggest that visual rehabilitation in patients with POAG can be achieved through asynchronous VR-based dichoptic visual perceptual training. A larger randomized clinical trial is required to confirm these effects.
Trial registration:
The trial registration number is #ChiCTR2100054625.
Early diagnostic value of serum IGF-1, FGF23 and Klotho in girls with rapidly progressive central precocious puberty
Authors: Liu Yuping , Cheng Yaying , Sun Meng , Hao Xiaojing , Li Mengmeng 
Published: March 2023

Abstract
Purpose: This study explored the early warning value of serum insulin-like growth factor-1(IGF-1), fibroblast growth factor 23(FGF23), and Klotho levels in girls with rapidly progressive central precocious puberty (RP-CPP).
Method: This is a prospective cohort study on the progression rate of central precocious puberty in girls, who complained of breast development before the age of 8 years and were followed between June 2021and June 2022. At the same time, 28 healthy girls less than 8 years old who had not started puberty were recruited as the control group. The physical examination and laboratory evaluation of each group was completed. Only patients with CPP received pelvic ultrasound examination and bone age test. The ROC curve was used to judge the warning value.
Results: Bone age index (BAI), basal LH levels (BLH), basal LH levels / basal FSH levels (BFSH), peak LH (PLH) / peak FSH (PFSH), IGF-1, Klotho, FGF23 and ovarian volume in RP-CPP group were higher than those in slowly progressive CPP (SP-CPP) group. In the RP-CPP group, IGF-1 was correlated with Klotho, FGF23, and BLH; Klotho was correlated with FGF23 and BLH; FGF23 was correlated with BLH. The AUC of BLH, Klotho, and IGF-1 were 0.931,0.829 and 0.809, respectively. The AUC was the largest when BLH and Klotho were combined.
Conclusions: The BLH, Klotho, and IGF-1 have early warning effects on RP-CPP. The binding analysis improves the effectiveness of diagnosis.
Stress-strain Monitoring Technology for Bolted Fasteners Based on 3D- Digital Image Correlation Method
Authors: Xu Xiaoming , Wang Ziping , Ni Yang , Zhang Yang 
Published: March 2023

Abstract
The monitoring of stress and strain of bolt fasteners is crucial for stress testing threaded holes and bolt ends. To accomplish this, Three-Dimensional Digital Image Correlation (3D-DIC) technology is employed to capture surface morphological feature images before and after deformation through a digital lens. Using 3D reconstruction and DIC operations, the corresponding coordinates of each pixel of the image are obtained, enabling analysis of the strain and displacement fields. The consistency of the experimental results demonstrates that the DIC method is a suitable approach for monitoring stress on bolt and hole edges.
Experimental comparison of non-contact and tactile R-test instruments in dynamic measurement
Authors: Ibaraki Soichi , Onodera Koki , Jywe Wen-Yuh , Hsu Chia-Ming , Chang Yu-Wei 
Published: March 2023

Abstract
The R-Test measures the three-dimensional displacement of a tool center point with respect to a work table in five-axis machine tool, as linear axes are driven synchronously with a rotary axis. This paper experimentally compares the measuring performance of the R-Test instruments with 1) tactile linear displacement sensors, 2) laser displacement sensors based on the refraction in a glass ball lens (Laser R-Test), and 3) laser interferometers, in dynamic tests described in ISO 10791-6:2014. A tactile displacement sensor pushes its measuring contact to the target surface by a spring, and its stiffness can limit the measurement bandwidth. This paper experimentally investigates this influence in the measurement of dynamic synchronization error of rotary and linear axes particularly near the reversal point in the present tests. This paper also presents a test to measure the bandwidth of a tactile displacement sensor.
Deep learning-based ultrasound transducer induced CT metal artifact reduction using generative adversarial networks for ultrasound-guided cardiac radioablation
Authors: Puvanasunthararajah Sathyathas , Camps Saskia , Wille Marie-Luise , Fontanarosa Davide 
Published: March 2023

Abstract

In US-guided cardiac radioablation, a possible workflow includes simultaneous US and planning CT acquisitions, which can result in US transducer-induced metal artifacts on the planning CT scans. To reduce the impact of these artifacts, a metal artifact reduction (MAR) algorithm has been developed based on a deep learning Generative Adversarial Network (CycleGAN) called Cycle-MAR, and compared with iMAR (Siemens), O-MAR (Philips) and MDT (ReVision Radiology), and CCS-MAR (Combined Clustered Scan-based MAR). Cycle-MAR was trained with a supervised learning scheme using sets of paired clinical CT scans with and without simulated artifacts. It was then evaluated on CT scans with real artifacts of an anthropomorphic phantom, and on sets of clinical CT scans with simulated artifacts which were not used for Cycle-MAR training. Image quality metrics and HU value-based analysis were used to evaluate the performance of Cycle-MAR compared to the other algorithms. The proposed Cycle-MAR network effectively reduces the negative impact of the metal artifacts. For example, the calculated HU value improvement percentage for the cardiac structures in the clinical CT scans was 59.58%, 62.22%, and 72.84% after MDT, CCS-MAR, and Cycle-MAR application, respectively. The application of MAR algorithms reduces the impact of US transducer-induced metal artifacts on CT scans. In comparison to iMAR, O-MAR, MDT, and CCS-MAR, the application of developed Cycle-MAR network on CT scans performs better in reducing these metal artifacts.
Thermal management of Induction Motor through the combination of air-cooling and an integrated water-cooling system
Authors: Madhavan Sameer , B Raunak Devdatta P , Konda Yashwanth Reddy , Gundabattini Edison , Mystkowski Arkadiusz , Palka Ryszad , Wardach Marcin , Prajzendanc Pawel 
Published: March 2023

Abstract
In this paper, the thermal management element strategies of the induction motor are developed to assure better endurance and boost efficiency. As the main result, the thermal analysis of an air-cooled and large-capacity induction motor is given considering well-known heat distribution problems. Moreover, this study also presents an integrated approach with two or more cooling strategies to be the need of the hour. The integrated system comprising air- and water-cooled systems are investigated using SolidWorks 2017 and ANSYS Fluent version 2021. Three different flow rates of water 5 LPM, 10 LPM and 15 LPM are analyzed and compared with a conventional air-cooled induction motor, which was validated with the available published resources. Performed analyses indicate that for different flow rates of 5 LPM, 10 LPM and 15 LPM respectively, we have obtained a reduction of temperature accordingly of 2.94%, 4.79% and 7.69%. Hence, the results indicated that an integrated induction motor is efficient in bringing down the temperature compared to air cooled induction motor.
Identifying characteristics of vocational rehabilitation journeys for patients who retain their success.
Authors: Brynjolfsdottir Ragnheidur D. , Haraldsson Saemundur O. , Adair Jason , Bergstrom Mattias , Brynjolfsson Jon H. , Gudnason Vilmundur , Hjaltason Omar , Lund Ruth , McClenaghan Ashley , Siggeirsdottir Kristin , Thomson Sarah L. 
Published: March 2023

Abstract
Vocational Rehabilitation (VR) is a multidisciplinary health and social services process where patients are supported to permanently enter or re-enter the workforce. The aim of this retrospective cohort study spanning the last two decades was to investigate prolonged success after personalised VR and to identify aspects of VR that could be influenced to improve prolonged success. Former patients of an interdisciplinary VR centre in Iceland were surveyed and, using logistic regression, their responses were modelled with respect to socioeconomic information and descriptions of their progression and experience during the VR obtained by rigorous scientific methodology.
Several aspects were found that could be influenced to increase the probability of prolonged success. These relate to three main areas; financial security, social skills and mental status as well as the importance of time and support during the transition from VR to work or education. This was independent of age and gender. Personalised VR is a cornerstone of successful VR.
Factors Affecting the Use of Electronic Logistics Management Information System (eLMIS) Data in Bottom-up Quantification of Health Commodities in Public Health Facilities in Coast Region, Tanzania: A mixed-methods study
Authors: Mkumbwa Nambua M. , Kagashe Godeliver A.B. , Mlugu Eulambius M. , Mwakalukwa Rogers 
Published: March 2023

Abstract
Background: Effective supply chain management is an essential component of effective/affordable healthcare services. It ensures accurate quantification and availability of health commodities. Bottom-up quantification has proved the most effective in Tanzania, it relies mostly on electronic logistic management information system (eLMIS). This study aims to explore factors influencing the use of eLMIS data in bottom-up quantification of health commodities in Coast region, Tanzania.
Methods: An explorative cross-sectional study design employing mixed-method approach (qualitative and quantitative for data collectiona and analysis) was conducted. We focused on healthcare workers whose role is to create health commodities report by eLMIS and finally aggregate in bottom-up quantification tools (N=30). Structured interviews and checklist were adopted for qualitative and quantitative data collection, respectively. Data analyses were achieved with help of NVivo 12 and SPSS version 23.
Results: We found that lack of training to healthcare workers on bottom-up quantification was one of the key factors affecting them to use eLMIS data. Furthermore, insufficient infrastructure such as computers, poor ICT skills to using computers and eLMIS software, lack of regular supportive supervision on the use of eLMIS data, and inadequate fund and qualified staff emerged as other major factors that affect the use of eLMIS data in bottom-up quantification of health commodities in public health facilities. Training was shown to be a significant source of knowledge to improve eLMIS system use, and to enhance positive attitude toward the use of eLMIS data (p=0.003).
Conclusion: In summary, the factors unveiled in the present study may affect forecasting which relies on data that comes from eLMIS which tracks the demand for use of commodities over time. This is of particular concern for consistent availability and affordability of health commodities in public health facilities, as inaccurate forecasting may lead to inaccurate quantification of the commodities.