bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Qualitative Study of Home-Based and Hybrid Cardiac Rehabilitation During COVID-19
Authors: Ganeshan Smitha , Tse Crystal , Beatty Alexis 
Published: February 2021

Abstract
Background: Because of the need for distancing during the COVID-19 pandemic, many cardiac rehabilitation (CR) centers suspended in-person services and pivoted to home-based CR (HBCR). In this study, we qualitatively evaluated implementation of HBCR, which included weekly phone or video visits for individualized exercise plans, nutrition and health education counseling, wellness sessions, and optional mobile phone applications.Methods: Patient participants and staff members (physician, nurses, exercise physiologists, dietician, administrative staff) participated in semi-structured interviews. Two independent reviewers coded interview transcripts for emergent themes and pre-specified themes from the Theory of Planned Behavior, Unified Theory of Acceptance and Use of Technology, and the Consolidated Framework for Implementation Research. Results: A total of 12 patients and 7 staff were interviewed. Narrative descriptions highlighted the isolation, fear, and disruption of life activities during COVID-19. Key facilitators of the HBCR patient experience included strong relationships with staff who served as coaches and sources of accountability and the ability of HBCR to deliver an individually tailored experience within a patient’s home. Important organizational factors for implementation included leadership buy-in, culture of change, and support for staff. Though technology tools facilitated communication and accountability, not all participants embraced technology and some reported challenges with use.Conclusions: Individually tailored HBCR or hybrid CR can facilitate access for patients to participate outside of a CR center. Ongoing research is needed to understand the long-term outcomes of flexible delivery models that may include both in-person and remote visits, and the role of technology in these models.
Clustering of Cancer Data Based on Stiefel Manifold for Multiple Views
Authors: Tian Jing , Zhao Jianping , Zheng Chun-hou 
Published: February 2021

Abstract
Background: In recent years, various sequencing techniques have been used to collect biomedical omics datasets. It is usually possible to obtain multiple types of omics data from a single patient sample. Clustering of these datasets has proved to be valuable for biological and medical research and helpful to reveal data structures from multiple collections. However, such data often have small sample size and high dimension. It is difficult to find a suitable integration method for structural analysis of multiple datasets. Results: In this paper, a multi-view clustering based on Stiefel manifold method (MCSM) is proposed. Firstly, we established a binary optimization model for the simultaneous clustering problem. Secondly, the optimization problem solved by linear search algorithm based on Stiefel manifold. Finally, we integrated the clustering results obtained from three omics by using k-nearest neighbor method. We applied this approach to four cancer datasets on TCGA. The result shows that our method is superior to several state-of-art methods, which depends on the hypothesis that the underlying omics cluster class is the same.Conclusion: Particularly, our approach has better performs when the underlying clusters are inconsistent. For patients with different subtypes, both consistent and differential clusters can be identified at the same time.
A retrospective study on prophylactic regional lymphadenectomy versus nodal observation only in the management of dogs with stage I, completely resected, low-grade cutaneous mast cell tumors
Authors: Sabattini Silvia , Kiupel Matti , Finotello Riccardo , Stefanello Damiano , Faroni Eugenio , Bertazzolo Walter , Bonfanti Ugo , Rigillo Antonella , Magno Sara Del , Foglia Armando , Aresu Luca , Gambini Matteo , Caniatti Mario , Marconato Laura 
Published: February 2021

Abstract
Background. While lymphadenectomy of metastatic 27 lymph nodes (LNs) has been associated with improved outcome, the clinical utility of prophylactic lymphadenectomy in dogs with stage I cutaneous mast cell tumors (cMCTs) remains a controversial topic. To assess the therapeutic role of lymphadenectomy of uninvolved regional LNs, the long-term outcome of cMCT-bearing dogs with cytologically negative and surgically unresected regional LNs (observation only, OO) was compared with that of dogs with a surgically resected and histologically negative regional LNs (prophylactic regional lymphadenectomy, PRL).Results. A retrospective analysis of 64 dogs with a low-grade, completely resected stage I cMCT was performed: (54.7%) dogs were subjected to OO and 29 (45.3%) underwent PRL. Dogs were monitored for a median of 813 and 763 days in the OO group and PRL group, respectively. The number of dogs undergoing MCT progression was significantly higher in the OO group (P = 0.028) and curve comparison revealed a tendency to a better time to progression in the PRL group (P = 0.058). No significant difference in survival time (P = 0.294) was observed between dogs in the OO and PRL groups.Conclusions. Our results showed that lack of immediate lymphadenectomy was associated with a higher risk for tumor progression. This preliminary judgement, reinforced by the findings that lymphadenectomy was well tolerated in all cases, and that histopathology provides the definitive assessment of the nodal pathological status, may suggest that prophylactic lymphadenectomy is indicated in the management of stage I MCTs. Larger prospective studies are warranted for generating clinical evidence of this latter hypothesis.
Health Literacy, Information Seeking Patterns and Perceived Outcomes among Pregnant Women in Two Districts of Tanzania
Authors: Mbekenga Columba , Mutagaywa Reuben , Lwoga Edda Tandi 
Published: February 2021

Abstract
BackgroundPregnant women that engage in information seeking process are more likely to have a high level of knowledge about their health, be confident to discuss their health concerns with their health care providers and report better health promotion activities than individuals who do not seek health information. However, health literacy influence pregnant women’s information seeking behaviours and consequently their health knowledge and health outcomes. Limited studies have explored the effects of health literacy on the outcomes associated with the information seeking among pregnant women in Tanzania. This study investigates the relationship between health literacy and information seeking patterns and its associated outcomes among pregnant women in Tanzania. MethodsA cross- sectional survey was conducted among 260 pregnant women aged 18 and above attending selected antenatal clinics (ANC) in Tanzania. Health literacy was assessed using a REALM-SF instrument while information seeking patterns while the associated outcomes were measured using three Likert scales. Descriptive and analytic analyzes were performed using the SPSS, version 24.ResultsAmong the demographic factors, level of education was significantly associated with the level of health literacy (p<0.001). The level of health literacy was better among married pregnant women than those who were not married, and among those who have high income more than those with low-income. The number of ANC visits, gestational age and parity were significantly associated with the level of health literacy (p<0.05). A significant relationship was found between health literacy with seeking health information from village leaders (p < 0.0001) and all online information sources (p < 0.05). Pregnant women with high level of health literacy strongly agree to confirm (from health professionals) the validity of health information they receive from different sources and to recommend the importance of searching health information to others (p<0.001).ConclusionHealth literacy has great influence on maternal health behaviors and the associated outcomes. Maternal health interventions targeting both individual women and the public to ensure high health literacy levels across communities are required. An integration of online/ web-based health information in ANC health educational packages would warrant pregnant women access to high quality health information.
Group-occurring landslides and debris flows caused by the continuous heavy rainfall in June 2019 in Mibei village, Longchuan County, Guangdong Province, China
Authors: Bai Huilin , feng wenkai , Yi Xiaoyu , Fang Hongyu , Wu Yiying , Deng Pengcheng , Dai Hongchuan , Hu Rui 
Published: February 2021

Abstract
From June 10th to 13th, 2019, a continuous heavy rainfall occurred in Longchuan County, Guangdong Province, causing many landslide hazards. Among Longchuan County districts, Mibei village is one of the hardest-hit areas and suffered severe losses. In this paper, field investigation, remote sensing image interpretation , and UAV aerial photography were used to investigate and analyze hazard characteristics. Combined with rainfall monitoring data, laboratory and field tests data, and existing research results, the characteristics and failure mechanism of group-occurring landslides in Mibei village were studied. Because of the continuous heavy rainfall, 327 landslides occurred in the study area, mainly distributed in the north of the Mibei river and along the X158 road. The terrain slope of landslide hazards ranged from 35° to 45°, and the slope structure can be divided into two types. Granite residual soil was the main part of landslide mass, and sliding surface developed along with the interface between bedrock and covering layer. The continuous heavy rainfall from June 10th to 13th was the main triggering factor of the disaster. The total precipitation was 281.3 mm, and the rainfall on June 10th was 153.5 mm. The rain led to the continuous increase of volume water content in granite residual soil and completely weathered granite. The shear strength and parameters of the two materials changed differently, and slope stability continued to decrease, and then landslides occurred under terrain conditions and engineering excavation space. Untimely support and unreasonable support measures for the excavation slope exacerbated the disaster. The development degree of debris flows in the study area was very low, and debris flows were shown as the secondary disaster of landslides. The branch gully terrain is the key to transforming the landslide into the debris flow, and a large amount of loose deposits in the main gully will become the potential source of debris flow in the future.
Prioritizing suitable locations for underground dam construction in south east of Bushehr Province
Authors: Ebrahimi Javad , Moradi Hanid Reza , Chezgi Javad 
Published: February 2021

Abstract
The solutions to deal with the water crisis are summarized into two strategies for managing water resources and extraction of new sources of water. In Iran, due to geographical and climatic conditions, water resources management has a high priority . One of the methods to control and store water in wet periods for using in dry periods is construction of underground dams. The most important problem in the development and creation of underground dams is the complexity of determining the suitable areas for the dams. Developing underground dams can be a viable solution to prevent land use change, the gradual drainage of groundwater and out of reach. The present study was conducted to find the underground dams using Boolean logic and for priority of underground dam sites using MCDM methods include AHP, ANP, VIKOR, TOPSIS and ELECTRE III in four provinces of Bushehr, Tangestan, Dashti, and Jam in southern Iran. The results obtained by Boolean logic showed that the total area of the studied site had about 305 km potential for underground dam construction. In the next step, according to Google Earth images and based on different indices including, axial length, reservoir, lithology, distance from village and roads, 23 potential axes were identified afterward, by extensive field surveys, among these 23 potential axes, 6 locations were identified as suitable locations. In order to prioritize these six areas, the MCDM models were used. Finally, the results of the MCDM models showed that sites have different ranks of 1 to 6 for constructing underground dams. In the end for determined the final rank using Copeland method that result showed Zayer Abbasi site was in the first priority and Faghih Hasenan site is in sixth priority. ANP and AHP method near the Copeland method.
Projecting Climate Change Impacts on Mediterranean Finfish Production: A Case Study in Greece.
Authors: Stavrakidis-Zachou Orestis , Lika Konstadia , Anastasiadis Panagiotis , Papandroulakis Nikos 
Published: February 2021

Abstract
Finfish aquaculture in the Mediterranean Sea faces increasing challenges due to climate change while potential adaptation requires a robust assessment of the arising threats and opportunities. This paper presents an approach developed to investigate effects of climate drivers on Greek aquaculture, a representative Mediterranean country with a leading role in the sector. Using a farm level approach, Dynamic Energy Budget models for European seabass and meagre were developed and environmental forcing was used to simulate changes in production and farm profitability under IPCC scenarios RCP45 and RCP85. The effects of temperature and extreme weather events at the individual and farm level were considered along with that of husbandry parameters such as stocking timing, market size, and farm location (inshore, offshore) for nine regions. The simulations suggest that at the individual level fish may benefit from warmer temperatures in the future in terms of growth, thus reaching commercial sizes faster, while the husbandry parameters may have as large an effect on growth as the projected shifts in climatic cues. However, this benefit will be largely offset by the adverse effects of extreme weather events at the population level. Such events will be more frequent in the future and, depending on the intensity one assigns to them, they could cause losses in biomass and farm profits that range from mild to detrimental for the industry. Overall, these results provide quantification of some of the potential threats for an important aquaculture sector while suggesting possibilities to benefit from emerging opportunities. Therefore, they could contribute to improving the sector’s readiness for tackling important challenges in the future.
Determinants on COVID-19 Case Fatality Rates of Cities in China: A Logit-NB Hurdle Model Analysis
Authors: Yu Hanchen , Lao Xin , Gu Hengyu , Zhao Zhihao , He Honghao 
Published: February 2021

Abstract
Background: The ongoing Coronavirus Disease 2019 (COVID-19), a global pandemic with high infectiousness and high mortality, has seriously threatened human health, life safety and caused enormous economic losses. This study investigates the influencing factors on the case fatality rate (CFR) of COVID-19 at the city level in China. Methods: A logistic-negative binomial (Logit-NB) hurdle model is employed to examine the determinants on the probability of death and the value of CFR with COVID-19, based on confirmed cases and deaths by 13 March 2020 and 25 January 2021 at the city level in China and related environmental, demographic, and socioeconomic data.Results: We found that the probability of death from COVID-19 will increase by 1% with 1 newly increased confirmed case and increase by 4% in response to a rise of 1 unit in the air quality index. CFR will feebly increase with the number of confirmed cases, with the estimator being 2.81E-05. As the number of doctors increases by 10,000, CFR will decrease by 0.18%. Each 1% increase in the humidity leads to a 0.02% decrease in CFR, and each 1-unit increase in the population density causes a 0.09% decline in CFR. The comparison between the two research periods confirms the robustness of the results.Conclusions: The number of confirmed cases and the air quality are closely associated with the death probability, while the number of confirmed cases, the medical resources, the humidity, and the population density significantly affect the CFR. Furthermore, the air quality and population density stand out in the first wave of epidemic outbreak, while they become non-significant in the second wave.
Optic Nerve Head Optical Coherence Tomography Angiography Findings in Patients with Coronavirus Disease 2019
Authors: Abrishami Mojtaba , Daneshvar Ramin , Emamverdian Zahra , Shoeibi Naser , Sedighi Shima , Rezvani Talieh Saeidi , Saeedian Neda , Eslami Saeid 
Published: February 2021

Abstract
Purpose: To quantify the microvasculature density of the optic nerve head (ONH) using optical coherence tomography angiography (OCTA) analysis.in patients recovered from Coronavirus Disease 2019 (COVID-19) Methods: In a comparative cross-sectional, observational study patients recovered from COVID-19, whom diagnosis of COVID-19 was confirmed by a positive reverse transcription-polymerase chain reaction of a nasopharyngeal sample were included in this study. The. OCTA of ONH was performed at least 2 weeks after recovery from systemic COVID-19. Vascular density (VD) of the all vessels (AV) and small vessels (SV) inside the disc and radial peripapillary capillary (RPC) network density were measured in COVID-19 recovered patients and compared with similar parameters in an age-matched group of normal controls.Results: Twenty-five COVID-19 patients and 22 age-matched normal controls were enrolled in the study and one eye per participant was evaluated. Mean whole image SV VD in the COVID-19 group (49.94 ± 2.22) was not statistically significantly different from that in the control group (49.31 ± 1.93; p-value= 0.308). An increase in RPC VD was found in all AV and SV VD measured, which became statistically significant in whole peripapillary SV VD, peripapillary inferior nasal SV VD, peripapillary inferior temporal SV VD, peripapillary superior nasal SV VD and grid-based AV VD inferior sector (p<0.05 for all comparisons).Conclusion: Unremarkable increase was found in ONH microvasculature in patients who had recovered from COVID-19. These patients may be at risk of ONH vascular complications.
A Comprehensive Evaluation of Surface Air Temperature Reanalyses over China against Urbanization Bias–Adjusted Observations
Authors: Zhang Siqi , Ren Guoyu , Ren Yuyu , Zhang Yingxian , Xue Xiaoying 
Published: February 2021

Abstract
The goal of this study is to compare the differences in surface air temperature (SAT) between observational and reanalysis data in mainland China from 1961–2015 for evaluating the reliability and applicability of the reanalysis datasets, based on an observational dataset of 763 stations which has been adjusted for urbanization bias, and 8 reanalysis datasets. The time series, anomaly correlations, standard deviations, climate state, and linear trends of the reanalysis data are evaluated against the observations. The reanalysis data are consistent with the observational climate characteristics to a large extent. The correlation and standard deviation ratio between the reanalysis data and observations exhibited highly consistent inter–annual variability and dispersion, with the inter–annual SAT variability of JRA55 and ERA5 the closest to the observations for the periods 1961–2015 and 1979–2015, and the dispersions of 20CRV3 and NCEPV1 the most consistent with the observations for the two periods. The annual mean SAT of the reanalyses is generally 0–2.0°C lower than the observations, while the linear trends of all datasets exhibited clear warming. The biases in the SAT climatology of 20CRV3 and CRA40 are lower than other reanalysis datasets, and the linear trends of NCEPV1 and 20CRV3 are closer to the observations. With increasing elevation, the biases of the reanalysis data in terms of correlation, standard deviation, climate state, and linear trend all increased. Overall, in terms of the similarity of multiple measures to the urbanization bias–adjusted observations, CRA40 and JRA55 show the best performance of the products in reproducing various aspects of climatological and climate change features in mainland China for the period 1979–2015 and 1961–2015 respectively.
Co‑expression Network Analysis by WGCNA and Identify Potential Prognostic&nbsp;Markers&nbsp;Associated with Lung Metastasis in Breast Cancer
Authors: zhang xixun 
Published: February 2021

Abstract
Backgroud: Breast cancer (BC) is an aggressive cancer with a high percentage recurrence and metastasis. As one of the most common distant metastasis organ in breast cancer, lung metastasis has a worse prognosis than that of liver and bone. Therefore, it’s important to explore some potential prognostic markers associated with the lung metastasis in breast cancer for preventive treatment. Methods: In our study, transcriptomic data and clinical information of breast cancer patients were downloaded from The Cancer Genome Atlas (TCGA) database. Co-expression modules was built by Weighted gene co-expression network analysis (WGCNA) to find out the royalbule modules which is significantly associated with lung metastasis in breast cancer. Then, co-expression genes were analyzed for functional enrichment. Furthermore, the prognostic value of these genes was assessed by GEPIA Database and Kaplan-Meier Plotter. Results: Results showed that the hub genes, LMNB and CDC20, were up-regulated in breast cancer and indicated worse survival. Therefore, we speculate that these two genes play crucial roles in the process of lung metastasis in breast cancer, and can be used as potential prognostic markers in lung metastasis of breast cancer. Conclusion: Collectively, our study identified two potential key genes in the lung metastasis of breast cancer, which might be applied as the prognostic markers of the precise treatment in breast cancer with lung metastasis.
An Innovative Polyaniline/Platinum-Coated Fiber Optic – Surface Plasmon Resonance Sensor for Picomolar Detection of 4-Nitrophenol
Authors: ANTOHE Iulia , IORDACHE Iuliana , ANTOHE Vlad-Andrei , SOCOL Gabriel 
Published: February 2021

Abstract
The paper reports for the first time an innovative polyaniline (PANI)/platinum (Pt)-coated fiber optic – surface plasmon resonance (FO-SPR) sensor used for highly-sensitive 4-nitrophenol (4-NP) pollutant detection. The Pt thin film was coated over an unclad core of an optical fiber (FO) using a DC magnetron sputtering technique, while the 4-NP responsive PANI layer was synthetized using a cost-effective electroless polymerization method. The presence of the electrolessly-grown PANI on the Pt-coated FO was observed by field-emission scanning electron microscopy (FE-SEM) and subsequently evidenced by energy dispersive X-ray analysis (EDX). These FO-SPR sensors with a demonstrated sensitivity of 1515 nm/RIU were then employed for 4-NP sensing, exhibiting am excellent limit of detection (LOD) in the low picomolar range (0.17 pM). The proposed sensor’s configuration has many other advantages, such as low-cost production, small size, immunity to electromagnetic interferences, remote sensing capability, and moreover, can be operated as a “stand-alone device”, making it thus well-suited for applications such as “on-site” screening of extremely low-level trace pollutants.