bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validation of the Chinese Version Community' s Self-Efficacy Scale in Aging Population
Authors: Zhang Xiuli , Zheng Dezhi , Liu Yan , Zhao Huiwen , Luo Wen 
Published: November 2020

Abstract
Background: The original study confirmed the Japanese version Community’s Self-efficacy Scale (CSES) may help to promote health policies, practices and interventions in the community. In China, research on the self-efficacy of community’s life is at an infancy. The aim of this study was to assess the validity, the reliability and the predictors of the Chinese version CSES in aging population.Method: (1) Translation of the original Japanese version CSES into Chinese; (2)Validation of the Chinese version in aging population. Instrument measurement included reliability testing, item generation, construct validity and test-retest reliability. Confirmatory factor analysis was applied to determine construct validity and internal consistency. Meanwhile, we build the Bayesian Network Model of the Chinese version CSES and determined target variable.Result: Finally, 143 samples have been included in this research. By confirmatory factor analysis, we confirmed that the Chinese version CSES fit for two dimensional model. Additionally, this scale showed that the good internal consistency (Cronbach’s α coefficient 0.900) and test-retest reliability (kappa coefficient 0.754). The results of the Bayesian Network Model showed that the education (0.3278) and PEPPI (0.2055) have the important predictors of the CSES. Conclusion: This is the first study to validate the Chinese version CSES in older people. Our research confirmed that the Chinese version CSES has a good internal consistency, construct validity and test-retest reliability. Meanwhile, the confidence of communication with physician and the educational level are the important predictors of community self-efficacy.
Technology-Driven Solutions to Prompt Conversation, Aid Communication and Support Interaction for People With Dementia and Their Caregivers: A Systematic Literature Review
Authors: Hoel Viktoria , Feunou Carine Mendom , Wolf-Ostermann Karin 
Published: November 2020

Abstract
Background The impact of dementia on communication capabilities can result in difficulties in social interactions and between people with dementia and their conversation partner, as initiating and maintaining conversations becomes increasingly challenging. The role of technology in promoting social health and participation for people with dementia is increasing, but the usage on technological devices as a third party in social interactions to enhance communication quality is still in its infancy. The objective of this literature review is to provide a comprehensive description of technology-driven interventions for people with dementia and their conversation partners to enhance communication and facilitate positive social interactions. Methods A systematic search was conducted using PubMed, CINAHL and PsycINFO, where titles and abstracts were screened by two researchers independently. The reference lists of initially identified papers were hand-searched for further relevant studies. Quality appraisal of the included studies was assessed using the Mixed Methods Appraisal Tool.Results Twenty-six papers were included., where the most common technologies to facilitate communication and interactions were tablet-computers (n=11), social robots (n=7) and PCs (n=4). By analyzing the impacts of the device(s) on social interaction and communication, five major themes emerged: i) increased interaction; ii) better understanding of the person with dementia; iii) improved conversational quality; iv) reducing pressure on the conversation partner; and v) a conversational platform.Conclusion While the majority of the included studies are small-scale, they indicate promising findings on the potential of technology in helping dyads to interact in a way that relieves strain on the caregiver, enhances the relationship and engages people with dementia in social activities. Rigorous investigation using standard, comparable measurements is needed to demonstrate the effects of technological solutions, taking on the perspective on caregiving dyads as an entity rather than looking at outcomes for one member of the dyad in isolation.
Multidisciplinary Approach to Reduce Postoperative Complications and Improve the Activity of Patients With Hip Fracture: A 24-month Follow-up Survey
Authors: Imai Norio , Endo Naoto , Suda Ken , Suzuki Hayato 
Published: November 2020

Abstract
Background: Many multidisciplinary approaches such as fracture liaison services (FLS) have been introduced in the United Kingdom and Japan and have reduced medical complications and secondary fractures. This study investigated patient outcomes following the introduction of FLS.Methods: Patients who were over 50 years old and experienced fragility hip fractures between January 1, 2015 and December 31, 2017, were enrolled in the study. We divided patients into a control group without FLS (94 patients; mean age: 83.8 years; 21 men and 73 women) and a FLS group (373 patients; mean age: 83.3 years; 69 men and 304 women).Results: The time from injury to surgery decreased significantly from 2.42 days to 1.83 days following the introduction of FLS (p = 0.003). The proportion of patients who underwent surgery within 36 hours of injury also increased significantly in the FLS group (p = 0.014). In the FLS group, a significant decrease was observed in the total number of cases with complications after admission (p = 0.004). Significantly more patients with a Barthel index (BI) of ≥80 were observed in the FLS group at 6 months, 12 months, and 24 months following injury (p = 0.046, 0.018, and 0.048, respectively). Multiple logistic regression analysis revealed that the BI at the time of injury, surgery within 36 hours of injury, and postoperative complications was associated with death within 12 or 24 months after the injury.Conclusions: Our results indicate that FLS contributed to earlier recovery and rehabilitation following surgery and accelerated the rehabilitation of medical complications following admission. Our FLS is expected to improve patient activity and decrease secondary hip fracture in patients who have undergone hip surgery.
Ocular Causes of Headache in Patients Presenting to a Sub-urban Eye Hospital
Authors: Parajuli Sanket , Shrestha Ruchi , Chapagain Senny , Singh Prerana , Shrestha Ramesh 
Published: November 2020

Abstract
Background: Headache one of the most frequent complaints for which the patients visit the medical practitioners. The current study was planned to determine the aetiology of headache in patients seen for an ocular examination in ophthalmology outpatient clinics in a sub urban Eye hospital.Methods: This is a cross-sectional study conducted in Reiyukai Eiko Masunaga eye hospital, Banepa, Nepal over a period of 3 months from 1st March 2020 to 1st June 2020. 200 patients with headache with or without ocular pain were enrolled in the study. The patients were assessed for any ocular cause of headache.Results: Of the 200 patients, 115(57.5%) were female and 85(42.5%) were male. The overall mean age was 37.19 years (range: 11-65 years). 69 of 200 patients had refractive error (34.5%).Most common error was astigmatism (69.5%) followed by myopia (17.3%) and hyperopia (13.05%). 58(29%) patients were above the age of 40 years and hence were presbyopic.14% had convergence insufficiency, 4.2% had accommodation insufficiency and 3.5% had fusional insufficiency Various ocular morbidities that were noted were, Corneal ulcer , disciform keratitis, epithelial defect, primary angle closure glaucoma, phacomorphic glaucoma, primary angle closure suspect,Chronic angle closure, ocular hypertension, anterior uveitis , posterior scleritis, optic neuritis, intracranial space occupying lesion indicated by papilledema , acute dacryocystitis, herpes zoster ophthalmicus , preseptal cellulitis and painful internal hordeolumConclusion: A detailed evaluation of patient with headache is necessary to properly identify and treat the cause of headache. The role of ophthalmologist in assessing the patients with headache has been emphasized by this study.
Lymphovascular invasion represents a superior prognostic and predictive pathological factor of the duration of adjuvant chemotherapy for stage III colon cancer patients
Authors: Peng Jianhong , Deng Yuxiang , Liu Songran , Zhang Rongxin , Zhu Ying , Lu Zhenhai , Pan Zhizhong , Fan Wenhua , Wu Xiaojun 
Published: November 2020

Abstract
Background
Lymphovascular invasion (LVI) and perineural invasion (PNI) can indicate poor survival outcomes in colorectal cancer, but few studies have focused on stage III colon cancer. The current study aimed to confirm the prognostic value of LVI and PNI and identify patients who could achieve benefit from a complete duration of adjuvant chemotherapy based on the two pathological factors.
Methods
We enrolled 402 consecutive patients with stage III colon cancer who receive colon tumor resection from November 2007 to June 2016 at Sun Yat-sen University Cancer Center. Survival analysis were performed by using Kaplan–Meier method with log-rank tests. Risk factors related to disease-free survival (DFS) and overall survival (OS) were identified through Cox proportional hazards analysis.
Results
A total of 141 (35.1%) patients presented with LVI, and 108 (26.9%) patients with PNI. The LVI-positive group was associated with poorer 3-year DFS (86.5% vs. 76.3%, P = 0.001) and OS (96.0% vs. 89.1%, P = 0.003) rates compared with the LVI-negative group. The PNI-positive group showed a worse survival outcome compared with the PNI-negative group in 3-year DFS rate (72.5% vs. 86.7%, P < 0.001). Moreover, LVI-positive group present better 3-year DFS and OS rate in patients completing 6–8 cycles of adjuvant chemotherapy than those less than 6 cycles (3-year DFS: 80.0% vs. 64.9%, P = 0.019; 3-year OS: 93.2% vs. 76.3%, P = 0.002).
Conclusions
LVI is a superior prognostic factor to PNI in stage III colon cancer patients undergoing curative treatment. Furthermore, LVI also represents an effective indicator for adjuvant chemotherapy duration.
Classification of Pregnancy Apps in Medical Technology Despite the Coronavirus
Authors: Habibi Mohammad Reza Mazaheri , Moghbeli fateme 
Published: November 2020

Abstract
BackgroundThe use of mobile applications is very popular among the public these days. Pregnant women are a segment of society who need constant care to monitor their condition and that of the fetus. Pregnant women find it very difficult to keep track of their condition. An application software is needed. But choosing a reliable application is important. MethodsThe article is a research article that uses PRISMA flowchart to extract articles. Given that there are many apps in the field of pregnancy and due to technological advances as well as the recent outbreak of coronavirus disease, so the articles of the last 10 years that have been scientifically published in the databases of Google Scholar, PubMed, Science Direct have been analyzed. The most widely used and at the same time the best app is introduced in terms of its high usability.ResultsAfter searching for the keywords m-health, pregnancy, mobile app, coronavirus, covid-19 and combining them in databases according to the inclusion and exclusion criteria, 23 articles were finally reached. In the initial search, 3, 18 and 292 articles were extracted in PubMed, Science Direct and Google Scholar, respectively. According to the search strategy, 23 articles were identified qualitatively by reviewing both authors. Then, the types of apps were divided into three general categories, pregnant entertainment apps, pregnant information apps, and monitoring apps for mothers' physical health. Finally, 10 apps were selected and the Amila app was introduced as the best due to its high usability.ConclusionConsidering that pregnant women are an important segment of society and in addition to their health, the health of the fetus is also important to them, and also despite the coronavirus and the difficulty of mothers traveling for check-ups and checking their condition, As a result, using trusted apps to maintain their health and reduce traffic in the current situation will be very important. Given that this research article was written with the aim of choosing the best app, so it can be a suggestion for pregnant women and even gynecologists to introduce such apps to their patients.
Rapid and Accurate Varieties Identification of Different Crop Seeds Under Sample-Limited Condition Based on Hyperspectral Imaging and Deep Transfer Learning
Authors: Wu Na , Liu Fei , Bao Yidan , Li Mu , Huang Wei , Meng Fanjia , Zhang Chu , He Yong 
Published: November 2020

Abstract
Background: Varieties identification of crop seeds is significant for breeders to screen out seeds with specific traits and for market regulators to detect seeds purity. Hyperspectral imaging technology provides a fast and non-destructive means for varieties identification. And deep learning algorithm is suitable for effective analysis of redundant spectral data. However, deep learning algorithms have serious big data dependency, while collecting high-quality large-scale samples was high-cost in many cases. This made it difficult to build an accurate identification model. This study aimed to explore a rapid and accurate method for varieties identification of different crop seeds under sample-limited condition based on hyperspectral imaging and deep transfer learning.Results: Three deep neural networks with typical structures were designed based on a samples-rich Pea dataset. Obtained the highest accuracy of 99.57 %, VGG-MODEL was transferred to classify four target datasets (Rice, Oat, Wheat, Cotton) with limited samples. The accuracies of deep transferred model achieved 95 %, 99 %, 80.8 %, and 83.86 % on the four datasets, respectively. Using training sets with different sizes, deep transferred model could always obtain higher performance than other traditional methods. Visualization of training process and classification results confirmed the portability of common features of seed spectra and provided an interpreted method for rapid and accurate varieties identification of crop seeds.Conclusions: This study combined hyperspectral imaging and deep transfer learning to identify varieties of different crop seeds, which was proved to be efficient under sample-limited condition. This facilitated crop variety screening process under the scenario of sample scarcity. It also provided a new idea for the detection of other qualities of crop seeds based on hyperspectral imaging under sample-limited condition.
Palliative Care Stakeholders in Canada
Authors: Xiao Jingjie , Brenneis Carleen , Fassbender Konrad 
Published: November 2020

Abstract
Background: Improving access to palliative care for Canadians requires a focused collective effort toward palliative and end-of-life care advocacy and policy. However, evolution of modern palliative care in Canada has resulted in stakeholders working in isolation. Identification of stakeholders is an important step to ensure that efforts to improve palliative care are coordinated. The purpose of this analysis is to collectively identify, classify and prioritize stakeholders who made contributions to national palliative care policies in Canada.Methods: A systematic grey literature search was conducted examining policy documents (i.e. policy reports, legislative bills, judicial court cases) in the field of palliative care, end-of-life, and medical assistance in dying, at the national level, over the last two decades. Organizations’ names were extracted directly or derived from individuals’ affiliations. We then classified stakeholders using an adapted classification approach and developed an algorithm to prioritize their contributions towards the publication of these documents.Results: Over 800 organizations contributed to 115 documents (41 policy reports, 11 legislative, 63 judicial). Discussions regarding national palliative care policy over the last two decades peaked in 2016. Stakeholder organizations contributing to national palliative care policy conversations throughout this period were classified into six types and broadly representative of society. The ranking algorithm identified the top 200 prioritized stakeholder organizations.Conclusions: Stakeholders from various societal sectors contributed to national palliative care conversions over the past two decades; however, not all the stakeholder organizations engaged to the same extent. The information is useful when a need arises for increased collaboration between stakeholders and can be a starting point to develop more effective engagement strategies.
Multi-omics Analysis Reveals Whether and how Naphthylacetic Acid Affects the Quality of Rehmannia Glutinosa
Authors: LI Jianjun , SHAO Luying , ZHU Jialin , MA Jingxiao , ZHOU Yanqing , LI Huimin 
Published: November 2020

Abstract
Background: Rehmannia glutinosa (R.glutinosa) is an important medicinal plant. The tuberous root of R.glutinosa is often used as herbal medicine. Naphthylacetic acid (NAA) as expansin can improve its yield, but knowledge about gene regulation and metabolome in its root is limited.Results: Full-length transcriptome, next generation transcriptome(NGS), small RNA and degradome sequencing and metabolomics were used to elucidate whether and how NAA affected its quality.30 differential expression metabolites (DEMs) (11 upregulated, 19downregulated) were identified, but catalpol and Rehmannioside D as quality standards were unchanged in its tuberous roots under control and NAA conditions (CKs and NTs); Their NGS identified 1,113 differentially expressed transcripts (DETs) (596 upregulated, 517downregulated) verified by RT-qPCR; Small RNA sequencing identified 78miRNAs (11known, 67 novel), of which 3 were differentially expressed miRNAs (1upregulated, 2downregulated). Among them, 274 differentially expressed miRNAs target transcripts (DEMTs) were predicted found and then validated by degradome sequencing; DETs and DEMTs were mainly related to metabolism. 4 miRNA-mRNA interaction pairs that regulates 4 metabolites (2 negatively correlated, 2 positively correlated) were identified; DETs, DEMs, differentially expressed miRNAs and DEMTs involved in phenylpropanoid biosynthesis regulated metabolites.Conclusions: The identification of DETs, DEMs, differentially expressed miRNAs and DEMTs could help to elucidate the regulatory networks and molecular mechanisms important for NAA-improving root quality of R.glutinosa.
Genome-wide Identification and Expression Analysis of Autophagy-related Genes (ATGs) in Medicago Truncatula
Authors: Yang Mingkang , Wang Liping , Guo Xu , Lin Chuanglie , Huang Wei , Chen Liang 
Published: November 2020

Abstract
Background: Autophagy is a highly conserved degradation process of cytoplasmic constituents in eukaryotes. Autophagy is known to be involved in the regulation of plant growth and development, as well as biotic and abiotic stress response. Although autophagy-related genes (ATGs) have been identified and characterized in many plant species, little is known about the autophagy process in Medicago truncatula. Results: In this study, 39 ATGs were identiﬁed in M. truncatula (MtATGs), and the gene structures and conserved domains of MtATGs were systematically characterized. In addition, many cis-elements which are related to hormone and stress responsiveness were identified in the promoters of MtATGs. Furthermore, phylogenetic analysis and interaction network analysis suggested that the function of MtATGs is evolutionarily conserved in Arabidopsis and M. truncatula. Gene expression analysis showed that most MtATGs were largely induced during seed development, but repressed by nodulation. Moreover, MtATGs were up-regulated in response to salt and drought stresses.﻿Conclusion: These results provide a comprehensive overview of the MtATGs, which provided important clues for further functional analysis of autophagy in M. truncatula.
Automated Tire Visual Inspection Based on Low Rank Matrix Recovery
Authors: Li Guangxu , Zheng Zhouzhou , Shao Yuyi , Shen Jinyue , Zhang Yan 
Published: November 2020

Abstract
Visual inspection is a challenging and widely employed process in industries. In this work, an automated tire visual inspection system is proposed based on low rank matrix recovery. Deep Network is employed to perform texture segmentation which benefits low rank decomposition in both quality and computational efficiency. We propose a dual optimization method to improve convergence speed and matrix sparsity by incorporating the improvement of the soft-threshold shrinkage operator by the weight matrix M. We investigated how incremental multiplier affects the decomposition accuracy and the convergence speed of the algorithm. On this basis, image blocks were decomposed into low-rank matrix and sparse matrix in which defects were separated. Comparative experiments have been performed on our dataset. Experimental results validate the theoretical analysis. The method is promising in false alarm, robustness and running time based on multi-core processor distributed computing. It can be extended to other real-time industrial applications.
“Chatty Devices” and Edge-based Activity Classiﬁcation
Authors: Lakoju Mike , Javed Amir , Rana Omer , Burnap Peter , Atiba Samuelson , Cherkaoui Soumaya 
Published: November 2020

Abstract
With increasing automation of manufacturing processes (focusing on technologies such as robotics and human-robot interaction), there is a realisation that the manufacturing process and the artefacts/products it produces can be better connected post-production. Built on this requirement, a “chatty” factory involves creating products which are able to send data back to the manufacturing/ production environment as they are used, whilst still ensuring user privacy. The intended use of a product during design phase may diﬀerent signiﬁcantly from actual usage. Understanding how this data can be used to support continuous product reﬁnement, and how the manufacturing process can be dynamically adapted based on the availability of this data provides a number of opportunities. We describe how data collected on product use be used to: (i) classify product use; (ii) associate a label with product use using unsupervised learning – making use of edge-based analytics; (iii) transmission of this data to a cloud environment where labels can be compared across diﬀerent products of the same type. Federated learning strategies are used on edge devices to ensure that any data captured from a product can be analysed locally (ensuring data privacy). Using a 6th gen. Apple iPad as a “chatty device” (with acceleration, orientation, angular velocity and magnetic ﬁeld sensors) we demonstrate how product use activities can achieve a classiﬁcation accuracy of 99.35%. A comparison is also undertaken with the Human Activity Recognition (HAR) data set, achieving an accuracy of 98%. Our approach demonstrates how semantic activity labels can be associated with product use, and subsequently used to improve product design.