bluuebunny/crossref_metadata_2025_split huggingface dataset:
Natural Radiation Exposure and Carotid Intima-Media Thickness Among Women in Karunagappally, Kerala, India.
Authors: Nandakumar Athira , Sreeku Ananthakrishnakurup , Nair Abhilash , Amma Jayalekshmi , Ahammed Riyaz , Nair Rekha , Nair Raghu , Koriyama Chihaya , Sasaki Michiya , Akiba Suminori , Nakamura Seiichi , Konishi Junji , Endo Keigo 
Published: July 2021

Abstract
Background

A cross-sectional study was conducted to examine the relationship between natural radiation exposure and intima-media thickness (IMT), an atherosclerosis indicator, among female residents in Karunagappally, Kerala, South India, which is known to have areas with high natural background radiation (HNBR) derived mainly from thorium.
Methods

Cumulative radiation doses received during childhood, adulthood, and entire life were estimated on the basis of annual indoor and outdoor radiation doses and hours spent indoors and outdoors. In 2013–2014, IMT of the carotid artery was measured with ultrasonography among 400 women aged 29–60 years in Karunagappally. Since there were three subjects with outlying maximum IMT values, corrected IMT values excluding those outliers were calculated. For statistical analysis, raw and corrected IMT values were used.
Results

The regression analysis adjusting for age and religion showed a statistically significant association of mean and maximum IMT with radiation. The most strongly related radiation dose was with the adult dose. Its association with IMT became stronger when paediatric dose was also taken into account. When adjusted for fasting blood sugar and HbA1c, adult dose was statistically significantly related to raw mean IMT (P = 0.008) and corrected mean IMT (P = 0.018). Maximum IMT values were also related to adult doses but the association was not statistically significant (raw maximum IMT, P = 0.061 and corrected maximum IMT, P = 0.138).
Conclusions

Among female residents in the HNBR areas in south India, mean IMT statistically significantly increased in relation to the adult dose. Further studies are necessary to evaluate the causal association of the observation.
Multi-Tasking Community-Based Bilingual Doulas are Bridging Gaps – Despite Standing on Fragile Ground. A Qualitative Study of Doulas’ Experiences in Sweden
Authors: Lindgren Helena , Eltayb Amani , Wahlberg Anna , Tsekhmestruk Nataliia , Small Rhonda , Schytt Erica 
Published: July 2021

Abstract
Background: Community-based Bilingual Doulas (CBDs) are women from migrant communities trained to support and comfort migrant women during labour and birth. The aim of the study was to describe CBDs’ experiences of supporting migrant women during labour and birth, working alongside caregivers, and to explore CBDs perceptions of their work situation in a Swedish setting. Methods: As part of an ongoing randomised trial of CBD support in Stockholm, Sweden, semi-structured individual interviews were conducted with nine of the 35 participating CBDs. Results: The overarching theme which emerged was “Multi-tasking bilingual doulas bridging gaps – despite standing on fragile ground”. To reach out a helping hand and receive appreciation from the women when their needs were met, motivated the CBDs to continue despite the constraints related to roles, working conditions and boundaries. The CBDs felt proud of being acknowledged, although they did also feel a need for more supervision and education. Conclusion: The CBDs experienced their doula tasks as meaningful and emotionally rewarding, which mostly outweighed the challenges of their work which they saw as insecure, exhausting and underpaid. If CBDs are implemented on a larger scale, the scope of their role, education, access to supervision and working conditions all need to be better addressed.
Mechanism of Interannual Variability of Ocean Bottom Pressure in the South Pacific
Authors: Qin Jianhuang , Cheng Xuhua , Yang Chengcheng , Ou Niansen , Xiong Xiaoqin 
Published: July 2021

Abstract
The study of ocean bottom pressure (OBP) is useful for understanding the barotropic processes variability that contribute to sea level rise. Previous studies have reported the strong OBP anomalies in the Southern Ocean on different time scales. In this study, the characteristic and mechanisms of the energetic interannual OBP variability in the southeastern Pacific are examined using 14 years of GRACE data. It is found that the OBP anomalies are positive (negative) related to the convergence (divergence) of Ekman transport forced by local winds variability. The sea level pressure (SLP) anomalies shows a wavenumber-3 structure in the high latitude of the South Pacific, which benefits a strong and persistent anticyclone over the southeastern Pacific, leading to the positive OBP anomalies there. Such SLP anomalies are similar to the second Pacific-South American (PSA2). Moreover, El Niño–Southern Oscillation (ENSO) plays an important role in the austral spring (August-November) OBP variability and leads the austral autumn (March-June) OBP variability by 1 season. These results highlight the influence of atmospheric variability on OBP anomalies and are validated by a mass conservation (non-Boussinesq) ocean model, which is expected to not only better understanding of OBP mechanisms in a longer time, but also predict OBP variation in the global scale.
Sleeping Beauties and their Princes in Solid Waste Research
Authors: Tang Zheng 
Published: July 2021

Abstract
A “sleeping beauty” (SB) is a paper that goes unnoticed for a long time, and then, almost suddenly, is awakened by a “prince” (PR), attracting from there on a lot of attention in terms of citations. Although there are some studies on the SB and PR phenomena in science, little research on the awakening mechanisms between them has been conducted. Based on a comprehensive dataset with more than 10000 papers published in solid waste research from 1956 to 2010, we compared three typical methods of identifying SBs, and the parameter-free criterion worked better than the average-based and quartile-based criterion in some aspects. Besides, through a case study of the top 10 in SBs, we applied three criteria to discover the candidate PRs with high citation, high co-citation, and publication time close to the awakening time. Moreover, we discussed the mechanisms involved in the SBs and PRs, which were divided into three types: the synergistic effect, leading effect, and hysteresis effect. This work develops and validates a bibliometric framework for identifying the SBs and PRs in solid waste research, to figure out the awakening mechanisms, and promote potentially valuable research in other fields.
Prevalence of Porcine Cysticercosis in India: A Meta-Analysis
Authors: BHANGALE GAJENDRA 
Published: July 2021

Abstract
Porcine cysticercosis (PCC) caused due to Taenia solium a tapeworm; is one of the important neglected tropical diseases with a significant zoonotic importance. In view of the underdeveloped swine husbandry practices coupled with negligence of people towards hygienic food habits, a comprehensive estimate on the presence of porcine cysticercosis in India will be helpful for planning control measure. We performed a systematic literature review regarding data about PCC epidemiology in India and meta-analyses for its prevalence in different zones of country and the methods employed for detection and based on this discussed possible control strategies. A total 27 studies spanned over period from 2000 to 2019 from different parts of India were included for meta-analysis which were obtained through a systematic search from online free databases. The overall prevalence using random effects model was found 5.21% with substantial heterogeneity (I2 = 96.52, p = 0.0001). However subgroup analysis revealed higher prevalence due to smaller sample size and also method of detection has also significant effect on the pooled data. Considering the zoonotic significance as well as economic losses to pork industry, control strategies need to be devised with regards to health monitoring, improvements in ante-mortem diagnostics, hygienic meat practices coupled with education to both the producers and consumers about this important disease through one health approach.
Exploration of the Molecular Characteristics of the Tumor–Immune Interaction and Analysis of Immune Implication of CXCR4 in Gastric Cancer
Authors: Wen Fang , Lu Xiaona , Huang Wenjie , Chen Xiaoxue , Ruan Shuai , Gu SuPing , Wang Yulan , Li Ye , Liu Jiatong , Liu Shenlin , Shu Peng 
Published: July 2021

Abstract
Background:Gastric cancer (GC) is rated as one of the most commonly diagnosed cancers and the leading cause of cancer-related deaths in the world. Despite the emergence of a combination of surgery, surveillance endoscopy, chemotherapy, radiotherapy, and various novel treatment strategies in recent years, the prognosis for patients with gastric cancer is far from optimistic due to its predisposition to invasion or metastasis and low rate of early diagnosis. GC exists in a complex tumor–immune microenvironment. Immune cell infiltration and tumor–immune molecules play a key role in tumor development and are closely related to the prognosis of patients. Therefore, understanding the cellular composition and function of TME is essential to grasp the tumor progression of GC, and is helpful to find molecular markers with the prognostic value that affect the immune response of GC patients.Methods:In this study, we performed multiple machine learning algorithms to identify immunophenotypes and immunological characteristics in GC patient’s data from the TCGA database and identified immune-related genes involved in the GC-immune interaction. In addition, we used R software and online databases to assess the status of lymphocytes and clarified the association between the hub gene and GC immunity, as well as the signaling pathways that regulate the immune response mediated by the hub gene.Results:In this study, we found a close linkage between CXCR4 and the immunity of GC. The CXCR4 gene expression was associated with immune cell infiltration levels and immunomodulators. We established an immune gene model for GC using CXCR4-associated immunomodulators. The risk scores derived from the gene signatures were significantly associated with survival in GC. And, our results demonstrated that the risk scores derived from CXCR4-associated immunomodulators could distinguish risk groups defined by differential expression of a set of signature genes.Conclusions: Our findings provided evidence of CXCR4's implication in tumor immunity, suggesting that CXCR4 may be a potential prognostic biomarker and immunotherapeutic target for GC. The prognostic immune markers from CXCR4-associated immunomodulators could independently predict the overall survival of GC. The prognostic immune model using CXCR4-associated immunomodulators contribute to the individualization of the clinical treatment strategy to improve the survival chances of patients.
Comparing ERAS-Outpatient Versus Standard-Inpatient Hip and Knee Replacements: A Mixed Methods Study Exploring the Experience of Patients Who Underwent Both
Authors: Hardy Alexandre , Gervais-Hupé Jonathan , Desmeules François , Hudon Anne , Perreault Kadija , Vendittoli Pascal-André 
Published: July 2021

Abstract
BACKGROUND
Optimizing patients’ total joint arthroplasty (TJA) experience is as crucial for providing high quality care as improving safety and clinical effectiveness. Yet, little evidence is available on patient experience in standard-inpatient and enhanced recovery after surgery (ERAS)-outpatient programs. Therefore, this study aimed to gain a more in-depth understanding of the patient experience by exploring the patient experience of ERAS-outpatient programs compared to standard-inpatient programs, identifying elements that could optimize patients’ experience and determining how it is associated with patient characteristics, clinical outcomes and care components satisfaction.
METHODS
We conducted a convergent mixed methods study of 48 consecutive patients who experienced both standard-inpatient and ERAS-outpatient TJA contralaterally. A reflective thematic analysis was conducted based on data collected via a questionnaire. Bivariate correlations between the patient experience and patients’ characteristics, clinical outcomes and care components satisfaction were performed. Then, the quantitative and qualitative data were integrated together.
RESULTS
The theme Support makes the difference—for better and for worse was identified in both programs and throughout the entire TJA care episode. Patients identified 3 main themes distinguishing the ERAS-outpatient program from their standard-inpatient experience: 1) Minimizing inconvenience, 2) Home sweet home and 3) Returning to normal function and activities. Providing more preoperative information and postoperative rehabilitation sessions (if needed) and ensuring better coherence of care between orthopaedic and homecare teams could further optimize the patient experience. Weak to moderate positive and statistically significant correlations were found between patients’ TJA experience and satisfaction with pain management, hospital stay, postoperative recovery, homecare and overall results (rs = + [0.36–0.66], p-value < 0.01)
CONCLUSION
Whatever the perioperative program, the key to improving patients’ TJA experience lies in improving support throughout the care episode. Compared to standard-inpatient care, the ERAS-outpatient program improves patients’ experience by providing dedicated support in post-operative care, reducing postoperative inconvenience, optimizing pain management, returning home sooner, and recovering and regaining function sooner. Patients’ TJA experience could further be enhanced by optimizing the information provided to the patient, the rehabilitation program and the coherence between care teams.
Microcontroller PIC 16F877A Standard based on Solar Cooker using PV- Evacuated Tubes with an Extension of Heat Integrated Energy System
Authors: Prabu Arulraj Simon , Chithambaram Venkatesan , Bennet Maria Anto , Shanmugan Sengottaiyan , Pruncu Catalin Iulian , Lamberti Luciano , Elsheikh Ammar Hamed , Panchal Hitesh , Janarthanan Balasubramani 
Published: July 2021

Abstract
The unavailability of sunlight during nighttime and cloudy weather condition has limited the usage of solar cookers throughout the day. This study will attempt to engineer a solar cooker with PV (Photovoltaic panel), evacuated tubes with CPC reflectors, battery and charge controller using the microcontroller PIC 16F877A. A mathematical model is developed to predict the electrical power (Ep) required during cloudy weather condition and nighttime as well as the temperatures occurring at different parts of the cooker. The proposed model is validated against experimental observations gathered for one of the typical working days of the system. The cooker is tested for various cooking loads to find the cooking time and it is proven that the proposed cooker can be utilized over 24/7 without interruption.
Deep Learning Generates Custom-made Logistic Regression Models for Explaining how Breast Cancer Subtypes are Classified
Authors: Shibahara Takuma , Wada Chisa , Yamashita Yasuho , Fujita Kazuhiro , Sato Masamichi , Okamoto Atsushi , Ono Yoshimasa 
Published: July 2021

Abstract
Breast cancer is the most frequently found cancer in women and the one most often subjected to genetic analysis. Nonetheless, it has been causing the largest number of women's cancer-related deaths. PAM50, the intrinsic subtype assay for breast cancer, is beneficial for diagnosis but does not explain each subtype’s mechanism. Deep learning can predict the subtypes from genetic information more accurately than conventional statistical methods. However, the previous studies did not directly use deep learning to examine which genes associate with the subtypes. To reveal the mechanisms embedded in the PAM50 subtypes, we developed an explainable deep learning model called a point-wise linear model, which uses meta-learning to generate a custom-made logistic regression for each sample. We developed an explainable deep learning model called a point-wise linear model, which uses meta-learning to generate a custom-made logistic regression for each sample. Logistic regression is familiar to physicians, and we can use it to analyze which genes are important for prediction. The custom-made logistic regression models generated by the point-wise linear model used the specific genes selected in other subtypes compared to the conventional logistic regression model: the overlap ratio is less than twenty percent. Analyzing the point-wise linear model’s inner state, we found that the point-wise linear model used genes relevant to the cell cycle-related pathways.
The Effect of Interpersonal Psychotherapy on Quality of Life Among Breast Cancer Patients With Common Mental health Disorder: A Randomized Control Trial At Tikur Anbessa Specialized Hospital
Authors: Belay Winini , Kaba Mirgissa , Labisso Wajana Lako , Tigeneh Wondemagegnehu , Sahle Zekariyas , Zergaw Ababi , Ejigu Abebe , Baheretebeb Yonas , Gufue Zenawi Hagos , Haileselassie Werissaw 
Published: July 2021

Abstract
Purpose: To determine the effect of interpersonal psychotherapy on anxiety, depression, and quality of life among breast cancer patients with mental health disorders at Tikur Anbessa Specialized Hospital, Ethiopia.Methods: A two-arm parallel randomized controlled trial study was conducted among 114 (n=57 intervention, and n= 57 control group) breast cancer patients with common mental health disorder at the oncology center of Tikur Anbessa Specialized Hospital. The hospital anxiety and depression measurement scale was used to assess depression and anxiety disorder and a 30-item quality of life questionnaire was used to assess the quality of life. General Linear Model analysis was done, confounding factors were controlled, and P<0.05 was used to declare statistical significance. Results: Patients in the intervention group showed a significant improvement in the anxiety (coefficient -3.68; 95% CI -5.67,-1.69; P<0.001), depression (coefficient -3.22; 95% CI -4.7,-1.69; P<0.001), physical functioning (coefficient 10.55; 95% CI 3.13, 17.98; P=0.006), health related quality of life (coefficient 21.85; 95% CI 14.1, 29.59; P<0.001), Insomnia (coefficient -19.56; 95% CI -31.87, -7.25; P=0.002), and fatigue (coefficient -11.37; 95% CI -21.49, -1.24; P=0.028) respectively. Conclusions: The adapted Ethiopian version of interpersonal psychotherapy had improved anxiety, depression, and some domains of health-related quality of life. Hence, health programmers should consider incorporating it as a treatment option in oncology centers.Trial registration number: PACTR202011629348967 granted on 20 November 2020 which was retrospectively registered.
Relocation and Storage Assignment Strategies Evaluation in a Multiple-deep Tier-captive Automated Vehicles Storage and Retrieval System with Undetermined Retrieval Sequence
Authors: Marolt Jakob , Kosanić Nenad , Lerher Tone 
Published: July 2021

Abstract
This paper studies multiple-deep automated vehicle storage and retrieval systems (AVS/RS) known for their high throughput performance and flexibility. Compared to a single-deep system, multiple-deep AVS/RS has a better space area utilisation. However, a relocation cycle occurs, reducing the throughput performance whenever another stock-keeping unit (SKU) blocks a retrieving SKU. The SKU retrieval sequence is undetermined, meaning that the arrangement is unknown, and all SKUs have an equal probability of retrieval. In addition to the shuttle carrier, a satellite vehicle is attached to the shuttle carrier and is used to access storage locations in multiple depths. A discrete event simulation of multiple-deep AVS/RS with a tier captive shuttle carrier was developed. We focused on the dual command cycle time assessment of nine different storage and relocation assignment strategies combinations in the simulation model. The results of a simulation study for (i) Random, (ii) Depth-first and (iii) Nearest neighbour storage and relocation assignment strategies combinations are examined and benchmarked for five different AVS/RS case study configurations with the same number of storage locations. The results display that the fivefold and sixfold deep AVS/RS outperform systems with fewer depths by utilising Depth-first storage and Nearest neighbour relocation assignment strategies.
Sample Attrition Analysis in a Prospective Cohort Study of Medical Graduates in China
Authors: Li Mingyue , Wang Ziyue , Zhang Baisong , Wei Tiantian , Hu Dan , Liu Xiaoyun 
Published: July 2021

Abstract
Background: A major challenge of prospective cohort studies is attrition in follow-up surveys. This study investigated attrition in a prospective cohort comprised of medical graduates in China. We described patterns of attrition, identified participants with higher possibility of attrition, and examined if attrition affect the estimation of the key outcome measures. Methods: The cohort study recruited 3,620 new medical graduates from four medical universities in central and western China between 2015-2019. Online follow-up surveys were conducted on an annual basis. Follow-up status was defined as complete (meaning that the participant completed all the follow-up surveys) and incomplete, while incomplete follow-up was further divided into ‘always-out’, ‘rejoin’ and ‘other’. Multivariable logistic and linear regressions were used to examine factors predicting attrition and the influence on the outcome measures of career development. Results: 2364 (65.3%) participants completed all follow-up surveys. For those with incomplete data, 520 (14.4%) were ‘always-out’, 276 (7.6%) rejoined in the 2020 survey. Unwillingness to participate in residency training (OR=1.311, 95%CI[1.028-1.672]) and unwillingness to provide sensitive information in the baseline survey predicted a higher rate of attrition (providing scores for university entrance exam (OR=1.313, 95%CI[1.064-1.620]; providing contact information (OR=2.762, 95%CI[1.660 - 4.593]; providing household income (OR=1.679, 95%CI[1.122-2.512]). Participants with compulsory rural service (OR=1.516, 95%CI[1.050-2.190]) and those providing university entrance scores (OR=1.639, 95%CI[1.152-2.334)) were more likely to rejoin the follow-up survey. These factors associated with follow-up status did not have significant impact on key outcome measures of career development. Conclusion: Graduates who were unwilling to participate in residency training or not providing sensitive information were associated with higher attrition and should be targeted early in the cohort study to reduce attrition. On the contrary, medical graduates with compulsory rural service and those who provided university entrance scores were more likely to rejoin in the cohort. The overall attrition is unlikely to affect the estimates of outcome measures.