bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Autologous Breast Reconstruction on Bra Fit
Authors: Liu Yen-Tung , Khan Novera H. , Bordes Mary Catherine , Reece Gregory P. , Francis Ashleigh M. , Chen Tzuan A. , Bravo Karen , Markey Mia K. 
Published: May 2023

Abstract
Purpose To inform bra design by analyzing 3D surface images of breast cancer patients who underwent autologous breast reconstruction.Methods We computed bra design measurements on 3D surface images of patients who underwent unilateral and bilateral autologous breast reconstruction. Breast measurements and right-left symmetry between preoperative baseline and postoperative time points were compared using either paired Student t test or Wilcoxon signed rank test, depending on the data's distribution. Regression analysis determined associations between measurements and patient characteristics such as age. Postoperative measurements and symmetry differences were also compared between autologous and implant-based breast reconstruction.Results Among participants who underwent bilateral autologous breast reconstruction, the reconstructed breasts were smaller and positioned higher on the chest wall than their native breasts. For patients who underwent unilateral reconstruction, similar postoperative changes were observed in the contralateral breast due to symmetry procedures. Overall, for participants whose baseline breast measurements showed substantial asymmetry, unilateral reconstruction decreased right-left asymmetry whereas bilateral reconstruction amplified right-left asymmetry. Preoperative baseline breast measurements, age, and BMI were statistically significantly associated with most postoperative breast measurements for participants who underwent bilateral autologous reconstruction. Compared to implant-based reconstruction, autologous reconstruction resulted in fewer changes in breast shape and symmetry that are pertinent to bra fit.Conclusion Preoperative baseline breast measurements, age, and BMI can impact bra designs for breast cancer survivors who undergo autologous reconstruction due to size, shape, and symmetry changes. Bra needs of people who undergo autologous reconstruction differ from those who undergo implant-based reconstruction.
Esthetics and patient-reported outcomes with dental single tooth implants 10 years after placement, a cross-sectional study
Authors: Bengtsson Viveca Wallin , Lindahl Christel , Scholander Sven 
Published: May 2023

Abstract
Background Survival and success rates for single tooth implants have shown excellent results when measuring clinical outcomes. Less attention has been on patient´s perception of function and esthetics with single tooth implants. Therefore, the aim of the study was to describe patient reported function and esthetic outcomes in single tooth implants. A second aim was to compare the patient perceived esthetics with objective esthetics in single tooth implants.Methods Patients with one single-tooth implant reconstruction in the esthetic zone were selected. Two questionnaires with visual analogue scales (VAS) were filled in by the patients and intraoral photographs were taken. One questionnaire concerned satisfaction with cleaning and function and the other involved esthetics of the single tooth implant. One dentist reviewed the photographs using the pink esthetic score/white esthetic score index (PES/WES). Spearman correlation test was used to evaluate the relationship between VAS and PES/WES.Results For chewing and for speaking the scores were 0.1 respectively 1.2 on a VAS (best 0). The overall esthetics, on a VAS was 8.6 (best 10). PES/WES in the present study was 14.6 (SD ± 1.9) and 3/45 (6.7%) of the patients never reached clinical acceptability. VAS and PES or WES or PES/WES showed no correlation with Spearman´s correlation test (p = 0.435, p = 0.296, p = 0.245 respectively).Conclusions Patients reported high satisfaction with the function and the esthetics with single tooth implants. Patients’ satisfaction with the esthetics and the objective esthetics was not correlated.
Alterations in morphology and barrier function of tanycytes in an APP/PS1 transgenic mouse model of Alzheimer’s disease
Authors: Qi Guibo , Gong Pifang , Liu Yitong , Hu Jianian , Kang Siying , Tang Han , Qin Song 
Published: May 2023

Abstract
Hypothalamic defects characterized by metabolic disorders influence the progression of Alzheimer’s disease (AD). Recent studies have proposed that tanycytes, radial glial-like cells lining the third ventricle wall, participate in energy homeostasis regulation as an important player. However, the role of tanycytes in neurodegenerative diseases such as AD is unclear. Our ongoing research aims to investigate morphological and functional changes in tanycytes in an APP/PS1 mouse model of AD. Considering the spatial distribution of hypothalamic nuclei, we focused on middle region (from bregma − 1.5 to − 2.1 mm) of the mediobasal hypothalamus. By vimentin immunostaining, we found both internal and external ME areas occupied by vimentin-positive processes displayed a significant reduction in 12-month-old APP/PS1 mice compared with WT controls. Administration of Evans blue revealed normal barrier function of the ME–ARH interface and impaired fasting-induced remodeling of the blood–hypothalamic barrier, suggesting an attenuated ability of blood-borne molecules to enter the ARH. Moreover, in 5- and 12-month-old APP/PS1 mice, tanycytes exhibited a similar expression pattern of the zonula occludins-1 (ZO-1) tight-junction complex relative to age-matched control littermates. Interestingly, although random and actual food intake was similar among 5- and 12-month-old APP/PS1 and WT mice, fasting blood glucose and rebound feeding was significantly higher in 12-month-old APP/PS1 mice than WT mice. We also detected more c-Fos immunoreactive neurons in the ARH and more areas of ARH occupied by tanycytic processes in 12-month-old APP/PS1 mice, providing more anatomical evidence for tanycyte–neuron communication in the ARH. These results uncovered changes in morphology and barrier function of tanycytes in APP/PS1 mice, which may be associated with abnormal hypothalamic glucose metabolism.
Identification of the clinical prediction model and biomarkers based on chromatin regulators in colon cancer by integrated analysis of bulk- and single-cell RNA sequencing data
Authors: Ma Yichao , Fang Fang , Liao Kai , Zhang Jingqiu , Wei Chen , Liao Yiqun , Zhao Bin , Fang Yongkun , Chen Yuji , Wang Daorong , Zhang Xinyue , Tang Dong 
Published: May 2023

Abstract
Background Chromatin regulators (CRs) are implicated in the development of cancer, but a comprehensive investigation of their role in colon adenocarcinoma (COAD) is inadequate. This research's objective is to conduct a complete examination of CRs in COAD.Methods We obtained data from TCGA and GEO databases. WGCNA screened tumor-associated CRs. Lasso-cox regression was used to construct the model and to screen key CRs together with SVM, the univariate cox regression. We used single-cell data to explore expression of CRs in cells and their communication. Immune infiltration, immune checkpoints, mutation, methylation, and drug sensitivity analyses were performed. Gene expression was verified by qRT-PCR. Pan-cancer analysis was used to explore the importance of hub CRs.Results We finally obtained 32 tumor-associated CRs. The prognostic model was constructed based on RCOR2, PPARGC1A, PKM, RAC3, PHF19, MYBBP1A, ORC1, and EYA2 by the Lasso-cox regression. Single cell data revealed that the model was immune-related. Substantial differences existed between the high-risk and low-risk cohorts in the clinical features, tumor microenvironment, and drug sensitivity. Combined with machine learning, PKM is perhaps the most critical gene in CRs. Pan-cancer analysis showed that PKM plays a role in the prognosis of cancers.Conclusions We developed a prognostic model for COAD dependent on CRs. Increased expression of the core gene PKM is linked with a poor prognosis in a number of malignancies.
It is Not About Time - A New Standard for Open-Loop Heliostat Calibration Methods
Authors: Pargmann Max , Leibauer Moritz , Nettelroth Vincent , Quinto Daniel Maldonado , Pitz-Paal Robert 
Published: May 2023

Abstract
Heliostat calibration is a vital task in solar tower plants to ensure high plant efficiencies. Currently calibration is performed at close time intervals for every heliostat, to ensure constantly precise heliostat tracking, because it is assumed that a heliostat's precision tends to degrade over time. Consequently, new heliostat calibration procedures are frequently presented that incorporate time-dependent data set splitting for training and testing. In this study, we present a new data-set splitting method that measures the nearest neighbor distance between each calibration point using sun positions in Euler angles (Azimuth, Elevation). We conducted a comparative analysis with the common time-based split method, and our results demonstrate that neither time nor data set size significantly impacted the tracking accuracies. Instead, the distribution of sun position within the data set emerged as the most important factor. Moreover, our findings suggest that using time as a metric can be misleading when reporting validation accuracies. The proposed method has significant implications for the calibration of heliostats, previous and upcoming publications as well as the daily power plant operation. Utilizing this method, the acquired data sets are expected to achieve higher levels of accuracy while requiring less data. Furthermore, it has the potential to enhance the comparability between publications and enable risk-averse assessments of new methods to ensure stated accuracies and improve model evaluation reliability.
Optimized Design by Genetic Algorithm for Flux Switching Brushless Permanent Magnet Machines with Two Ports from Perspective of Losses
Authors: Shirzad Ehsan 
Published: May 2023

Abstract
This paper evaluates a brushless double mechanical port flux-switching permanent-magnet that this machine is used in fields of high power and hybrid electrical vehicles. In design of this machine is studied the mandatory purpose in order to mentioned machine manufacturable and optimum design that for achieving stated target, choice of suitable design geometrics is crucial. Design purpose investigated in this paper is extracting appropriate geometric for realization of maximum efficiency by genetic algorithm is used as acceptable tool to optimize configuration of evaluated machine. For solving this problem is used Maxwell software (optimization tool in Maxwell software) and finite element method (numerical model), then, results are brought in tables and Figs.
Atherogenic index of plasma (AIP), an effective novel index to predict abnormal weight in Youth: A Propensity score matching data analysis
Authors: Wang Zhi-Long , Zheng Ying-Ying , Sun Chang-Hao , Yin Xin , Zhi Xiao-Yu , Liu Yi-Tian , Wu Ting-Ting , Xie Xiang 
Published: May 2023

Abstract
Background: Obesity is closely related to dyslipidemia. Atherogenic index of plasma (AIP) is a novel index evolved from two traditional lipid indexes. However, the relevance of AIP to obesity remains unclear. Our study aims to explore the relationship between AIP and obesity, and the predictive power of AIP compared with other traditional lipid indicators.
Methods: This study was a case-control study with propensity matching. A total of 13,082 adults under the age of 30 were included, of whom 8,366 were of normal weight, 3,340 were overweight and 1,376 were considered obese.
Results: After propensity matching, we found that compared to subjects in the normal weight group, subjects with abnormal weight had higher body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), hemoglobin (Hb), platelets (PLT), white blood cells (WBC), alanine transaminase (ALT), aspartate transaminase (AST), total cholesterol (TC), creatinine (Cr), fasting blood glucose (FBG), low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), AIP, Non-HDL-C, TC/HDL-C, LDL-C/HDL-C, atherogenic index (AI), lipoprotein combined index (LCI) and low high-density lipoprotein cholesterol (HDL-C), total bilirubin (TBIL) (P<0.001). AIP was positively and linearly correlated with BMI. Compared with conventional lipid indexes such as TG (odds ratio [OR]=1.22), HDL-C (OR=0.34) and LDL-C (OR=1.1) and new lipid indexes such as LDL-C/HDL-C (OR=1.64), Non-HDL-C (OR=1.14), TC/HDL-C (OR=1.47), AI (OR=1.47) and LCI (OR=1.03), AIP had the highest OR value (OR=3.34). As a result, AIP has a tighter correlation with obesity and better predictive value than other lipid indicators.Multivariate logistics regression shows, for every 1mmol/L increase in AIP, the risk of abnormal weight increased 3.34 times. Those with an AIP greater than 0 had a 1.86-fold increased risk of abnormal weight compared to those with an AIP less than 0. After matching AIP with obesity propensity, AIP still had good predictive power.
Conclusions: In the youth population, AIP does have a good ability to predict obesity. AIP can be used as a lipid index to screen for obesity.
Differentiated impacts of landscape-level environmental contexts on residents’ environmental perceptions of China’s drylands under ecological restoration
Authors: Wu Tianjing , Liu Yanxu , Wu Xutong , Liu Zhifeng , Xiao Rui 
Published: May 2023

Abstract
Context Local residents’ environmental perceptions (EPs) of changes in environmental contexts are important for assessing ecological restoration programs and sustainable environmental management. Cross-scale research is necessary to understand the law of universality in ecological restoration. However, most studies have failed to analyse the indirect effects of environmental contexts on local residents’ EPs at the landscape level and have lacked cross-scale analysis of regional differences.Objectives The goal is to determine the regional heterogeneity of the direct and indirect impacts of landscape-level environmental contexts and individual-level characteristics on rural residents’ EPs.Methods We conducted a transect survey that included the eastern, middle, and western regions in China’s drylands, which have experienced ecological restoration. Multilevel linear models (MLMs) were applied to analyze the direct and indirect key driving factors at the individual level and the landscape level on rural residents’ EPs.Results Changes in the landscape-level environmental context can have indirect effects on both single EPs (i.e., perceptions of vegetation, humidity, sandy weather, soil quality, summer temperature, and precipitation) and composite EPs. The EPs are influenced by different landscape-level variables among the east, middle and west of China's drylands. For instances, humidity perception was influenced by precipitation only in the high aridity of western and middle regions; composite EPs were most indirectly impacted by vegetation.Conclusions These findings have important implications for understanding how landscape-level environmental contexts affect EPs; and they can inform differentiated assessments of ecological restoration programs in China’s drylands.
The relationship between perceived social support and the number of injuries among left-behind children in the Chaoshan region, China: The chain-mediating role of self-esteem and psychological resilience
Authors: jiajun zhou , Xie Linlin , Luo Yandong , Chang Ping , Cao Zicheng , Li Liping 
Published: May 2023

Abstract
Background Left-behind children in China, who live without one or both parents due to migration, are highly susceptible to various physical and mental health issues, including injuries. The promotion of their well-being and the reduction of harm incidences depend on crucial factors such as social support, self-esteem, and resilience. However, the underlying mechanisms for achieving these goals remain unclear.
Objective The purpose of this study is to investigate the chain-mediating effects of self-esteem and psychological resilience between perceived social support and the number of injuries experienced in the last year among left-behind children in order to establish a foundation for the development of effective injury prevention strategies.
Methods The survey data for this study was collected from 1005 left-behind children in the Chaoshan region, China, between September 2019 and September 2020. The survey included the Juvenile Victimization Questionnaire Revised 2 (JVQ R2), as well as the Rosenberg Self-Esteem Scale, Perceived Social Support Scale, and Psychological Resilience Scale. Chain-Mediating effect was worked out by using AMOS structural equation model (SEM), and the significance of mediation was examined by bootstrap.
Results (1) A linear regression analysis showed that perceived social support was positively correlated with self-esteem (r=0.25, P<0.01) and psychological resilience (r=0.45, P<0.01), and the number of injuries was negatively correlated with perceived social support (r=-0.13, P<0.01), self-esteem (r=-0.19, P<0.01) and psychological resilience (r=-0.24, P<0.01). (2) Social support was negatively predicted the number of injuries experienced in the last year. (3) Self-esteem and psychological resilience played a chain-mediating role between perceivedsocial support and the number of injuries.
Conclusions The findings of this study suggest that social support can reduce the risk of injury of left-behind children in the Chaoshan region, and indirectly reduce the risk of injury of left-behind children through the chain-mediating effect of self-esteem and psychological resilience. Thus, enhancing the perceived social support, self-esteem, and psychological resilience of left-behind children may promote their physical and mental well-being and lower their vulnerability to injuries.
Renal Doppler Sonography As A Non-Invasive Technique For Early Detection Of Sickle Nephropathy In Children
Authors: Tagui Mona El , Seif Hadeel , hady Marwa Abd El , El-Sayed Dalia , Momen Nouran , Selim Yasmeen , Salam Mai Abd El 
Published: May 2023

Abstract
Objective: Early identification of sickle nephropathy via renal doppler sonography among sickle cell disease patients so as to help in early diagnosis and interventions to prevent progression to end-stage renal disease.
Methods: 45 SCD children were included along with 45 healthy control children. Renal doppler sonography (PI and RI) was performed to all subjects. Doppler indices (Resistance Index and pulsatility index) were of value to assess reno-vascular changes in SCD.
Laboratory investigations were done: Hb electrophoresis, complete blood picture with blood indices, reticulocytic count, liver enzymes (ALT and AST), HCV serology, serum ferritin and lactate dehydrogenese (LDH).
Results: The study group consisted of 45 SCD patients, 27 (60%) males with mean age 12 years (± 3 years). By performing renal doppler sonography, it was found that all study group had significantly higher doppler indices (Resistivity index and pulsatility index) compared to the control group.
Results of renal doppler sonography revealed, Main renal pulsatility index was positively correlated with main renal resistance index (r=0.454, p=0.002).
Conclusion: Roc curve showed that Main Renal Artery Pulsatility index and resistance index index could act as a predictor for sickle cell nephropathy with high sensitivity values. Otherwise, renal doppler indices didn’t show statistically significant correlation with the other studied variables.
Improving birth weight by increasing the knowledge of both pregnant mothers and their partners. An experience from a Sri Lankan study
Authors: Guruge G. N. Duminda , Young S. M. , Dharmaratne S.D. , Gunathunga M.W 
Published: May 2023

Abstract
Background The purpose was to evaluate the effectiveness of a community based health promotion intervention to increase knowledge about birth weight and its determinants among mothers and their partners.Methods A quasi-experimental study design was used with mixed methods and the setting was pregnant mothers (n = 806) of n = 403 each in two districts. The pregnant mothers and their partners completed interviewer administered questionnaires. Pre and post data was analyzed based on four major knowledge categories using statistical methods.Results Significantly higher gains in knowledge were seen among both mothers and their partners in the intervention group compared to the comparison group. Among participants with low pre-assessment knowledge scores too, the intervention group improved more than the comparison group {mothers (p = 0.002) and partners (p = 0.007)}.Conclusions The knowledge of the mothers as well as the partners was improved significantly. Importantly, mothers with less advantages have also benefitted. Involving partners incorporating health promotion approaches was successful.
Fruit Intake and Alzheimer’s Disease: Results from Mendelian Randomization
Authors: Liao Wan-Zhe , Zhu Xiao-Feng , Xin Qing , Mo Ye-Tong , Wang Lan-Lan , He Xiang-Ping , Guo Xu-Guang 
Published: May 2023

Abstract
Background Alzheimer's disease (AD) is the leading cause of dementia in old age, recognized as a global health priority. The number of dementia patients is projected to reach 152 million worldwide by the mid-century. AD can damage thought, memory, and independence, increasing the risk of dependence, disability, and mortality. The aim of the present study is to explore precise causality from fruit intake on risk of AD.Methods To explore the causal effect of fresh fruit intake and dried fruit intake on the liability of AD, this study utilized a genome-wide association study (GWAS) developed by the MRC-IEU for the full UK Biobank and the GWAS from FinnGen round 8 to conduct a Mendelian randomization (MR) analysis. The instrumental variables (IVs) for each fruit intake were selected based on the InSIDE hypothesis and the exposure-outcome datasets were harmonized. The study used inverse variance weighted (IVW), MR‒Egger, and weighted median (WM) approaches for MR estimates, and scatter plots, funnel plots, and leave-one-out plots were generated for statistical inspection of the stability of the results.Results MR analyses were conducted to investigate the causal effects of fresh fruit and dried fruit intake on Alzheimer's disease (AD) using targeted genome-wide association study datasets. Little evidence suggested a potential causal relationship between fresh fruit intake and AD (OR (95%CI) = 0.97 (0.50, 1.91), P-value = 0.939), while a significant and intensive causality was indicated between dried fruit intake and AD (OR (95%CI) = 4.09 (2.07, 8.10), P-value < 0.001). Stability evaluations showed no heterogeneity and pleiotropy affecting the interpretability and credibility of the primary analyses.Conclusions We strengthened the evidence supporting the positive causality from dried fruit intake to the liability of Alzheimer’s disease, while the association between fresh fruit intake and the risk of Alzheimer’s disease failed to be demonstrated. Further validation focusing on underlying molecular mechanisms and expansility of ethnicity could strengthen the reliability of the diet intervention throughout the prevention on AD.