bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carboxymethyl chitosan reduces inflammation and promotes osteogenesis in a rabbit knee replacement model
Authors: Liu Feng , Li Hai-Yan , Wang Zhen , Zhang Hai-Ning , Wang Ying-Zhen , Xu Hao 
Published: November 2020

Abstract
Background
The major causes of failure after total knee arthroplasty (TKA) include prosthesis loosening and infection. This study aimed to investigate the role of carboxymethyl chitosan (CMC) in knee arthroplasty.

Methods
A total of 20 New Zealand white rabbits that were divided into two groups (10 in the control group and 10 in the chitosan group) were included in the study. They underwent TKA surgery, and all were implanted with titanium rod prostheses; the prosthesis in the chitosan group was coated with CMC. After 12 weeks, all rabbits were euthanized, and the following analyses of some specific surface membrane tissues around the prosthesis were performed: X-ray analysis; micro-computed tomography scan; haematoxylin and eosin, Van Gieson, and Von Kossa staining; reverse transcription polymerase chain reaction; and Western Blotting.

Results
The result of CCK8 test showed CMC can promote cell proliferation and increase cell viability. Radiological result showed better amount of bone deposits and more bone formation in the chitosan group. HE staining result showed CMC reduces inflammation around the prosthesis. The VG and Von Kossa staining results showed CMC can promote bone deposition around prosthesis. And according to the results of PCR and WB, the OCN content was higher in the chitosan group, while the MMPs content was lower. The chitosan group has an increased OPG/RANKL ratio than the control group.

Conclusion
CMC can effectively inhibit the inflammatory response around the prosthesis and osteoclast activation and promote osteogenesis by interfering with the osteoprotegerin/receptor activator of nuclear factor kappa-Β ligand/receptor activator of nuclear factor kappa-Β signalling pathway.
A comparative case study of prescribing and non-prescribing physiotherapists and podiatrists
Authors: Carey Nicola , Edwards Judith , Otter Simon , Gage Heather , Williams Peter , Courtenay Molly , Moore Ann , Stenner Karen 
Published: November 2020

Abstract
Background
Increasing numbers of nurses, pharmacists and allied health professionals across the world have prescribing rights for medicines: over 90,000 of the eligible United Kingdom workforce are qualified as non-doctor prescribers. In order to inform future developments, it is important to understand the benefits and impact of prescribing by allied health professionals including physiotherapists and podiatrists.

Aim
to compare outcomes of physiotherapist and podiatrist Independent Prescriber (PP- IP) patients with those of physiotherapist and podiatrist non-prescribers (PP-NPs). Outcome measures included patient satisfaction, ease of access to services, quality of life and cost implications.
Design: a mixed method comparative case study.

Methods
Using mixed methods of data collection, outcomes were compared between 7 sites where care was provided from a PP-IP (3 podiatrist and 4 physiotherapist IPs) and 7 sites from a PP-NP (3 podiatrist and 4 physiotherapist NPs). Patients were followed up for 2 months (2015–2016).

Results
489 patients were recruited: n = 243 IP sites, and n = 246 NP sites. Independent prescribing was found to be highly acceptable, and equivalent in terms of quality of life (p > 0.05) and patient satisfaction (p ≤ 0.05) compared to care provided by NPs. PP-IP care delivery was found to be more resource intensive than PP-NP, with longer consultation duration for IPs (around 6.5 mins), and a higher proportion of physiotherapy patients discussed with medical colleagues (around 9.5 min).

Conclusion
This study provides new knowledge that PP-IPs provide high levels of care. PP-IP care delivery was found to be more resource intensive. Further research is required to explore cost effectiveness. A more focussed exploration within each profession using targeted outcome measures would enable a more robust comparison, inform future developments around the world and help ensure non-doctor prescribing is recognised as an effective way to alleviate shortfalls in the global workforce.
CloneSifter: enrichment of rare clones from heterogeneous cell populations
Authors: Feldman David , Tsai FuNien , Garrity Anthony J. , O’Rourke Ryan , Brenan Lisa , Ho Patricia , Gonzalez Elizabeth , Konermann Silvana , Johannessen Cory M. , Beroukhim Rameen , Bandopadhayay Pratiti , Blainey Paul C. 
Published: November 2020

Abstract
Background
Many biological processes, such as cancer metastasis, organismal development, and acquisition of resistance to cytotoxic therapy, rely on the emergence of rare sub-clones from a larger population. Understanding how the genetic and epigenetic features of diverse clones affect clonal fitness provides insight into molecular mechanisms underlying selective processes. While large-scale barcoding with NGS readout has facilitated cellular fitness assessment at the population level, this approach does not support characterization of clones prior to selection. Single-cell genomics methods provide high biological resolution, but are challenging to scale across large populations to probe rare clones and are destructive, limiting further functional analysis of important clones.

Results
Here, we develop CloneSifter, a methodology for tracking and enriching rare clones throughout their response to selection. CloneSifter utilizes a CRISPR sgRNA-barcode library that facilitates the isolation of viable cells from specific clones within the barcoded population using a sequence-specific retrieval reporter. We demonstrate that CloneSifter can measure clonal fitness of cancer cell models in vitro and retrieve targeted clones at abundance as low as 1 in 1883 in a heterogeneous cell population.

Conclusions
CloneSifter provides a means to track and access specific and rare clones of interest across dynamic changes in population structure to comprehensively explore the basis of these changes.
The dynamic wound microbiome
Authors: Liu Chunan , Ponsero Alise J. , Armstrong David G. , Lipsky Benjamin A. , Hurwitz Bonnie L. 
Published: November 2020

Abstract
Background
Diabetic foot ulcers (DFUs) account for the majority of all limb amputations and hospitalizations due to diabetes complications. With 30 million cases of diabetes in the USA and 500,000 new diagnoses each year, DFUs are a growing health problem. Diabetes patients with limb amputations have high postoperative mortality, a high rate of secondary amputation, prolonged inpatient hospital stays, and a high incidence of re-hospitalization. DFU-associated amputations constitute a significant burden on healthcare resources that cost more than 10 billion dollars per year. Currently, there is no way to identify wounds that will heal versus those that will become severely infected and require amputation.

Main body
Accurate identification of causative pathogens in diabetic foot ulcers is a critical component of effective treatment. Compared to traditional culture-based methods, advanced sequencing technologies provide more comprehensive and unbiased profiling on wound microbiome with a higher taxonomic resolution, as well as functional annotation such as virulence and antibiotic resistance. In this review, we summarize the latest developments in defining the microbiology of diabetic foot ulcers that have been unveiled by sequencing technologies and discuss both the future promises and current limitations of these approaches. In particular, we highlight the temporal patterns and system dynamics in the diabetic foot microbiome monitored and measured during wound progression and medical intervention, and explore the feasibility of molecular diagnostics in clinics.

Conclusion
Molecular tests conducted during weekly office visits to clean and examine DFUs would allow clinicians to offer personalized treatment and antibiotic therapy. Personalized wound management could reduce healthcare costs, improve quality of life for patients, and recoup lost productivity that is important not only to the patient, but also to healthcare payers and providers. These efforts could also improve antibiotic stewardship and control the rise of “superbugs” vital to global health.
circPARD3 drives malignant progression and chemoresistance of laryngeal squamous cell carcinoma by inhibiting autophagy through the PRKCI-Akt-mTOR pathway
Authors: Gao Wei , Guo Huina , Niu Min , Zheng Xiwang , Zhang Yuliang , Xue Xuting , Bo Yunfeng , Guan Xiaoya , Li Zhongxun , Guo Yujia , He Long , Zhang Yu , Li Li , Cao Jimin , Wu Yongyan 
Published: November 2020

Abstract
Background
Laryngeal squamous cell carcinoma (LSCC) is the second most common malignant tumor in head and neck. Autophagy and circular RNAs (circRNAs) play critical roles in cancer progression and chemoresistance. However, the function and mechanism of circRNA in autophagy regulation of LSCC remain unclear.

Methods
The autophagy-suppressive circRNA circPARD3 was identified via RNA sequencing of 107 LSCC tissues and paired adjacent normal mucosal (ANM) tissues and high-content screening. RT-PCR, Sanger sequencing, qPCR and fluorescence in situ hybridization were performed to detect circPARD3 expression and subcellular localization. Biological functions of circPARD3 were assessed by proliferation, migration, invasion, autophagic flux, and chemoresistance assays using in vitro and in vivo models. The mechanism of circPARD3 was investigated by RNA immunoprecipitation, RNA pulldown, luciferase reporter assays, western blotting and immunohistochemical staining.

Results
Autophagy was inhibited in LSCC, and circPARD3 was upregulated in the LSCC tissues (n = 100, p < 0.001). High circPARD3 level was associated with advanced T stages (p < 0.05), N stages (p = 0.001), clinical stages (p < 0.001), poor differentiation degree (p = 0.025), and poor prognosis (p = 0.002) of LSCC patients (n = 100). Functionally, circPARD3 inhibited autophagy and promoted LSCC cell proliferation, migration, invasion and chemoresistance. We further revealed that activation of the PRKCI-Akt-mTOR pathway through sponging miR-145-5p was the main mechanism of circPARD3 inhibited autophagy, promoting LSCC progression and chemoresistance.

Conclusion
Our study reveals that the novel autophagy-suppressive circPARD3 promotes LSCC progression and chemoresistance through the PRKCI-Akt-mTOR pathway, providing new insights into circRNA-mediated autophagy regulation and potential biomarker and target for LSCC treatment.

Graphical abstract
Delayed discharges from a tertiary teaching hospital in Israel- incidence, implications, and solutions
Authors: Berger Gidon , Epstein Danny , Rozen Meital , Miskin Avigdor , Halberthal Michael , Mekel Michal 
Published: November 2020

Abstract
Objectives
The Israeli health system is facing high workloads with average occupancy in certain hospital wards of around 100%. Since there is a shortage of hospitalization beds in institutions for continuous, long-term care, transferring patients from the general hospitals’ wards is often delayed. This situation has many significant ramifications, to the waiting patients themselves, to other patients who are waiting to be treated and to the entire organization. In this study, we describe the phenomenon of the “detained patients” - its extent, characteristics, significance, and possible solutions.

Materials and methods
Rambam Health Care Campus is a tertiary medical center serving the population of the northern part of Israel. In recent years, the hospital management documents data regarding the “detained patients”. We reviewed hospital data of detained patients over a period of nine months. The data concerning adult patients awaiting transfer to an institution for continuous care, between May 2019 and January 2020, were obtained retrospectively from the computerized database of the social service.

Results
During the study period, 12,723 adult patients were discharged. Of those, 857 patients (6.74%) were transferred to one of the facilities providing prolonged institutional care. For that group of patients, median inpatient waiting time from the decision to discharge until the transfer was 8 days (IQR 6–14), translating to 10,821 waiting days or 1202 hospitalization days per month. These hospitalization days account for 9.35% of the total hospitalization days during the study period. The “detained patients” were hospitalized in internal medicine wards (32%), orthopedic (30%), and neurology/neurosurgery (26%) departments. At any given moment, about 40 hospitalized patients were waiting for long-term care facilities.

Conclusions
Health-care systems must adapt to the current patients’ case-mix to achieve optimal utilization of hospital beds and maximal operational efficiency. The number of long-term care beds should be increased, the coordination between general hospitals, health maintenance organizations and long-term facilities improved, and patients that may require long term care after the acute phase of their illness should be early identified and addressed. Meanwhile, establishment of organic units for waiting patients and reorganization of the hospital structure should be considered.
Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia
Authors: Williams George T. , Jenkins Susanna F. , Biass Sébastien , Wibowo Haryo Edi , Harijoko Agung 
Published: November 2020

AbstractTephra from large explosive eruptions can cause damage to buildings over wide geographical areas, creating a variety of issues for post-eruption recovery. This means that evaluating the extent and nature of likely building damage from future eruptions is an important aspect of volcanic risk assessment. However, our ability to make accurate assessments is currently limited by poor characterisation of how buildings perform under varying tephra loads. This study presents a method to remotely assess building damage to increase the quantity of data available for developing new tephra fall building vulnerability models. Given the large number of damaged buildings and the high potential for loss in future eruptions, we use the Kelud 2014 eruption as a case study. A total of 1154 buildings affected by falls 1–10 cm thick were assessed, with 790 showing signs that they sustained damage in the time between pre- and post-eruption satellite image acquisitions. Only 27 of the buildings surveyed appear to have experienced severe roof or building collapse. Damage was more commonly characterised by collapse of roof overhangs and verandas or damage that required roof cladding replacement. To estimate tephra loads received by each building we used Tephra2 inversion and interpolation of hand-contoured isopachs on the same set of deposit measurements. Combining tephra loads from both methods with our damage assessment, we develop the first sets of tephra fall fragility curves that consider damage severities lower than severe roof collapse. Weighted prediction accuracies are calculated for the curves using K-fold cross validation, with scores between 0.68 and 0.75 comparable to those for fragility curves developed for other natural hazards. Remote assessment of tephra fall building damage is highly complementary to traditional field-based surveying and both approaches should ideally be adopted to improve our understanding of tephra fall impacts following future damaging eruptions.
T-S fuzzy systems optimization identification based on FCM and PSO
Authors: Ren Yaxue , Liu Fucai , Lv Jinfeng , Meng Aiwen , Wen Yintang 
Published: November 2020

AbstractThe division of fuzzy space is very important in the identification of premise parameters, and the Gaussian membership function is applied to the premise fuzzy set. However, the two parameters of Gaussian membership function, center and width, are not easy to be determined. In this paper, based on Fuzzy c-means (FCM) and particle swarm optimization (PSO) algorithm, a novel T-S fuzzy model optimal identification method of optimizing two parameters of Gaussian function is presented. Firstly, we use FCM algorithm to determine the Gaussian center for rough adjustment. Then, under the condition that the center of Gaussian function is fixed, the PSO algorithm is used to optimize another adjustable parameter, the width of the Gaussian membership function, to achieve fine-tuning, so as to complete the identification of prerequisite parameters of fuzzy model. In addition, the recursive least squares (RLS) algorithm is used to identify the conclusion parameters. Finally, the effectiveness of this method for T-S fuzzy model identification is verified by simulation examples, and the higher identification accuracy can be obtained by using the novel identification method described compared with other identification methods.
The effect of eye movements and cultural factors on product color selection
Authors: Wu Bo , Zhu Yishui , Yu Keping , Nishimura Shoji , Jin Qun 
Published: November 2020

Abstract
A color is a powerful tool used to attract people’s attention and to entice them to purchase a product. However, the way in which a specific color influences people’s color selection and the role of their eye movements and cultural factors in this process remain unknown. In this study, to delve into this problem, we designed an experiment to determine the influence of specific colors on people’s product preferences by using an eye-tracking device, intending to identify the role of their eye movements and cultural factors. Based on the experimental data, a detailed influence path model was built to describe the effect of specific colors on product evaluations by an integrated moderation and mediation analysis. Our findings show that in the influence process, the effects of specific colors on product evaluations are mediated by eye movements. Additionally, cultural factors partly moderate the process as an influencing factor. The research findings from this study have important implications for user-centered product design and visual marketing management.
Somehow I always end up alone: COVID-19, social isolation and crime in Queensland, Australia
Authors: Andresen Martin A. , Hodgkinson Tarah 
Published: November 2020

AbstractThe COVID-19 pandemic has dramatically affected social life. In efforts to reduce the spread of the virus, countries around the world implemented social restrictions, including social distancing, working from home, and the shuttering of numerous businesses. These social restrictions have also affected crime rates. In this study, we investigate the impact of the COVID-19 pandemic on the frequency of offending (crimes include property, violent, mischief, and miscellaneous) in Queensland, Australia. In particular, we examine this impact across numerous settings, including rural, regional and urban. We measure these shifts across the restriction period, as well as the staged relaxation of these restrictions. In order to measure impact of this period we use structural break tests. In general, we find that criminal offences have significantly decreased during the initial lockdown, but as expected, increased once social restrictions were relaxed. These findings were consistent across Queensland’s districts, save for two areas. We discuss how these findings are important for criminal justice and social service practitioners when operating within an extraordinary event.
Complex roles of cAMP–PKA–CREB signaling in cancer
Authors: Zhang Hongying , Kong Qingbin , Wang Jiao , Jiang Yangfu , Hua Hui 
Published: November 2020

AbstractCyclic adenosine monophosphate (cAMP) is the first discovered second messenger, which plays pivotal roles in cell signaling, and regulates many physiological and pathological processes. cAMP can regulate the transcription of various target genes, mainly through protein kinase A (PKA) and its downstream effectors such as cAMP-responsive element binding protein (CREB). In addition, PKA can phosphorylate many kinases such as Raf, GSK3 and FAK. Aberrant cAMP–PKA signaling is involved in various types of human tumors. Especially, cAMP signaling may have both tumor-suppressive and tumor-promoting roles depending on the tumor types and context. cAMP–PKA signaling can regulate cancer cell growth, migration, invasion and metabolism. This review highlights the important roles of cAMP–PKA–CREB signaling in tumorigenesis. The potential strategies to target this pathway for cancer therapy are also discussed.
Mural classification model based on high- and low-level vision fusion
Authors: Cao Jianfang , Cui Hongyan , Zhang Zibang , Zhao Aidi 
Published: November 2020

Abstract
The rapid classification of ancient murals is a pressing issue confronting scholars due to the rich content and information contained in images. Convolutional neural networks (CNNs) have been extensively applied in the field of computer vision because of their excellent classification performance. However, the network architecture of CNNs tends to be complex, which can lead to overfitting. To address the overfitting problem for CNNs, a classification model for ancient murals was developed in this study on the basis of a pretrained VGGNet model that integrates a depth migration model and simple low-level vision. First, we utilized a data enhancement algorithm to augment the original mural dataset. Then, transfer learning was applied to adapt a pretrained VGGNet model to the dataset, and this model was subsequently used to extract high-level visual features after readjustment. These extracted features were fused with the low-level features of the murals, such as color and texture, to form feature descriptors. Last, these descriptors were input into classifiers to obtain the final classification outcomes. The precision rate, recall rate and F1-score of the proposed model were found to be 80.64%, 78.06% and 78.63%, respectively, over the constructed mural dataset. Comparisons with AlexNet and a traditional backpropagation (BP) network illustrated the effectiveness of the proposed method for mural image classification. The generalization ability of the proposed method was proven through its application to different datasets. The algorithm proposed in this study comprehensively considers both the high- and low-level visual characteristics of murals, consistent with human vision.
Accuracy of dynamic navigation compared to static surgical guide for dental implant placement
Authors: Wu Dong , Zhou Lin , Yang Jin , Zhang Bao , Lin Yanjun , Chen Jiang , Huang Wenxiu , Chen Yonghui 
Published: November 2020

AbstractObjectivesTo compare the accuracy of dynamic navigation (DN) with a static surgical guide (SSG) for dental implant placement and the influence factors such as the experience of the surgeon and the implant sites.Methods and materialsA total of 38 implants, which underwent the dynamic navigation,and 57 implants which underwent a static surgical guide were enrolled in the retrospective study. Coronal deviation, apical deviation, and angular deviation were compared between the DN and SSG groups, along with the different experience level of surgeons and implant sites in the DN group.ResultsThere were no statistically significant differences between the DN and SSG groups, and the experience level of the surgeons and implant sites in the DN group. However, the apical deviation of the DN was slightly higher than the SSG group in the anterior teeth (P= 0.028), and the angular deviation of DN was smaller than the SSG group in the molar.ConclusionDynamic navigation can achieve accurate implant placement as well as the static surgical guide. Additionally, the experience level of the surgeon and implant site do not influence the accuracy of dynamic navigation, while the accuracy of DN seems higher than the SSG in molar.