bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ocular related emergencies in Spain during the COVID-19 pandemic, a multicenter study.
Authors: Puzo Martin , Sanchez-Monroy Jorge , Porcar-Plana Carmen Alejandra , Bartol-Puyal Francisco de Asís , Dotti-Boada Marina , Peña-Urbina Pilar , Izquierdo-Serra Jordi , López-Montero Ana , Pérez-García Pilar , Bordonaba-Bosque Daniel , Pablo-Julvez Luis Emilio , Calvo-Perez Pilar 
Published: April 2021

Abstract
PURPOSE: To evaluate ophthalmological emergencies (OE) during the COVID-19 pandemic comparing them with the same period of the previous year. METHODS: Retrospective observational study of all OE visits in four tertiary hospitals in Spain comparing data from March 16th to April 30th, 2020 (COVID-19 period) and the same period of 2019 (pre-COVID-19 period). Severity of the conditions was assessed following Channa et al. publication. Data on demographics, diagnosis and treatments were collected from Electronic Medical Records. RESULTS: During lockdown, OE significantly declined by 75.18%, from 7,730 registered in the pre-COVID-19 period to 1,928 attended during the COVID-19 period (p<0.001). In 2019, 23.86% of visits were classified as emergent, 59.50% as non-emergent, and 16.65% could not be determined. In 2020, the percentage of emergent visits increased up to 29.77%, non-emergent visits significantly decreased to 52.92% (p<0.001), and 17.31% of the visits were classified as “could not determine”. During the pandemic, people aged between 45 and 65 years old represented the largest attending group (37.89%), compared to 2019, where patients over 65 years were the majority (39.80%). In 2019, most frequent diagnosis was unspecified acute conjunctivitis (11.59%), followed by vitreous degeneration (6.47%), and punctate keratitis (5.86%). During the COVID-19 period, vitreous degeneration was the first cause for consultation (9.28%), followed by unspecified acute conjunctivitis (5.63%) and punctate keratitis (5.85%). CONCLUSIONS: OE visits dropped significantly during the pandemic in Spain (75.18%), although more than half were classified as non-urgent conditions, indicating a lack of understanding of the really emergent ocular pathologies among population.
An overlap of antineutrophil cytoplasmic antibody-associated vasculitis and IgG4-related disease: distinct clinicopathologic clues for precise diagnosis
Authors: Liang Peifen , Chen Wenfang , Yue Shuling , Han Qianqian , Zhu Litong , Li Jinggao , Yang Qiongqiong 
Published: April 2021

Abstract
Background: Both antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) and IgG4-related disease (IgG4-RD) are multi-system inflammatory disorders. The coexistent of both diseases present the possibility of a new overlap syndrome which leads to different treatment and outcome. In this study, we aim to investigate the possibility and clinicopathologic clues to the diagnosis of this overlap syndrome.Methods: A case of a 67-year-old man in our hospital who exhibited the clinicopathologic characteristics of both AAV and IgG4-RD was presented. The serial alterations in serum parameters and treatment response of the case were followed up for the next 15 months. Then, a systematic literature review of the overlap syndrome was performed on PUBMED database from 1976 until January 2020.Results: Forty-two patients fully met both AAV and IgG4-RD criteria in the literature. The median age was 60 years ranged from 31 to 73 years at diagnosis. Twenty-eight (66.7%) patients were men. Serum IgG4 concentration increased in 41 (97.6%) patients (median:395 mg/dl; range:177-876mg/dl). Forty-one patients (97.6%) tested positive for ANCA with 37 (90.2%) patients showing a specificity for MPO. Kidney histology of 23 (69.7%) patients presented pauci-immune necrotizing or crescentic glomerulonephritis and IgG4-related tubulointerstitial nephritis. Glucocorticoids combined with cyclophosphamide therapy was commonly prescribed with a high remission rate within 3 months. Four common clinicopathologic features of the overlap syndrome were identified from the case and literature.Conclusion: AAV may overlap with IgG4-RD while presenting atypical manifestations. Four common clinicopathologic characteristics could be used as specific clues to the diagnosis of overlap syndrome.
Spatial-temporal variations and multi-statistical analysis of contaminants in the waters affected by acid mining drainage in Karst area: A case of coal-mining area in Zhijin County
Authors: Qin Shichan , Li Xuexian , Wu Pan , Li Qingguang 
Published: April 2021

Abstract
Due to the adverse effects of coal mining activities in Karst areas, it’s necessary to monitor the contaminants, analyze their fate in the transport and identify the sources. Therefore, concentrations of contaminants were measured in both groundwater and surface water samples collected from coal-mining area in Karst, located in ​​Zhijin County, Guizhou Province (China). The analysis of spatial-temporal variations of contaminants indicates that (1) the concentrations of metal elements (except Ba) and SO42− tend to decrease along the water flow direction while the concentrations of Ba and nitrate still show an upward trend and (2) the concentrations of metal elements and SO42− in Stream1 and Stream3, are higher in wet season than dry season. Further, the results of multi-statistical analysis which combined Pearson correlation coefficients(PCC)with the principal component analysis (PCA), identify five factors for the data structure of contaminants. What’s more, the assessment of the water quality was evaluated by Nemerow index method to better understand the status. The results indicate that over 60% of water samples were divided into Grade IV and Grade Ⅴ.
Blank shape optimization considering 3D space targets for external and internal boundaries in sheet metal forming processes
Authors: Gharehchahi Hamidreza , Kazemzadeh-Parsi Mohammad Javad , Afsari Ahmad , Mohammadi Mehrdad 
Published: April 2021

Abstract
The optimum design of an initial blank shape in sheet metal forming processes is an important step in many industries, especially automobile manufacturers because it reduces production costs and material waste. To the best of our knowledge, no research has been conducted on the blank shape designs based on 3D space target contours. Moreover, the present study considers parts with internal boundaries and optimum design of the internal boundary, which are among the innovations of this research. By following the iterative simulation-based optimization process, a special updating algorithm was proposed to modify the blank geometry in each iteration and reach the optimum shape. The sheet forming was severely nonlinear, due to plastic behavior, large deformations, and frictional contact surfaces. Therefore, the updating formula should be robust enough to be insensitive to the initial guess for the blank. To evaluate the proposed updating formula, some numerical examples were solved and the results were presented. Finally, the robustness of the proposed algorithm was investigated in these numerical experiences, by considering different geometries, target contours, internal boundaries, and initial guesses. The present study reveals that the proposed algorithm can be effectively used to solve blank optimization problems for the deep drawing process.
Semi-blind channel estimation based on Modified CMA and unitary scrambling for massive MIMO systems
Authors: Sellami Noura , Siala Mohamed 
Published: April 2021

Abstract
Pilot contamination is one of the main impairments in multi-cell massive Multiple-Input Multiple-Output (MIMO) systems. In order to improve the channel estimation in this context, we propose to use a semi-blind channel estimator based on the constant modulus algorithm (CMA). We consider an enhanced version of the CMA namely the Modified CMA (MCMA) which modifies the cost function of the CMA algorithm to the sum of cost functions for real and imaginary parts. Due to pilot contamination, the channel estimator may estimate the channel of a contaminating user instead of that of the user of interest (the user for which the Base Station wants to estimate the channel and then the data). To avoid this, we propose to scramble the users sequences before transmission. We consider different methods to perform unitary scrambling based on rotating the transmitted symbols (one Dimensional (1-D) scrambling) and using unitary matrices (two-Dimensional (2-D) scrambling). At the base station, the received sequence of the user of interest is descrambled leading to a better convergence of the channel estimator. We also consider the case where the Automatic Repeat reQuest (ARQ) protocol is used. In this case, using scrambling leads to a significant gain in terms of BLock Error Rate (BLER) due to the change of the contaminating users data from one transmission to another induced by scrambling.
How does the coupling of real-world policies with optimization models expand the practicality of solutions in reservoir operation problems?
Authors: Kim Gi Joo , Kim Young-Oh 
Published: April 2021

Abstract
This study aims compares how different formulations of a reservoir operation problem with conflicting objectives affect the quality of the generated solution set. Six models were developed for comparative analysis: three using dynamic programming (DP) and three using the evolutionary multi-objective direct policy search (EMODPS) algorithm. Afterward, to improve the quality of the generated solution set, an EMODPS model was selected and coupled with zone-based hedging policy that is currently being applied in real-world reservoir operations. The solutions generated by each model were then evaluated regarding proximity to the ideal and three eminent performance indices (risk, resiliency, and vulnerability). The proposed methodology was applied to a multi-purpose reservoir located in South Korea, Boryeong Dam, which had suffered a multi-year drought recently. Consequently, the solution sets from the EMODPS model yielded closer results than those of the stochastic DP model for optimality and diversity. Although the solutions from the algorithm performed better than actual operation results under normal conditions, the actual operations executed based on the zone-based hedging rule outperformed the other two in case of droughts. Among the EMODPS models, one with the fewest parameters, the EMODPS-Gaussian model, resulted in better solutions for all cases. Finally, coupling the real-world policy with the optimally derived solutions in the case of droughts improved the frequency, duration, and magnitude of the water supplies whereas the water users experienced an improvement in scale at the expense of more recurrent failures.
Weather Indicators and Improving Air Quality in Association with COVID-19 Pandemic in India
Authors: Chakrabortty Rabin , Pal Subodh Chandra , Ghosh Manoranjan , Arabameri Alireza , Saha Asish , Roy Paramita , Pradhan Biswajeet , Mondal Ayan , Ngo Phuong Thao Thi , Chowdhuri Indrajit , Yunus Ali P. , Sahana Mehebub , Malik Sadhan , Das Biswajit 
Published: April 2021

Abstract
The COVID-19 pandemic enforced nationwide lockdown, which has restricted human activities from March 24 to May 3 2020, resulted an improved air quality across India. The present research investigates the connection between COVID-19 pandemic imposed lockdown and its relation with present air quality in India; besides, relationship with climate variables and daily new affected cases of Coronavirus and mortality in India during the lockdown period has also been examined. The selected seven air quality pollutant parameters (PM10, PM2.5, CO, NO2, SO2, NH3 and O3) at 223 monitoring stations and temperature recorded in New Delhi were used to investigate the spatial pattern of air quality throughout the lockdown. The results showed that the air quality has improved across the country and average temperature and maximum temperature were connected to the outbreak of the COVID-19 pandemic. This study will assist the policy practitioner, researcher, urban planner, and health expert to make suitable strategies against the spreading of COVID-19 in India and abroad.
Visualization of basic probability assignment
Authors: Long Hong Feng , Peng Zhen Ming , Deng Yong 
Published: April 2021

Abstract
Applying geometry to the analysis and interpretation of basic probability assignment(BPA) is a unique research direction in evidence theory. Though the geometric representation of BPA has been proposed, the visualization method of BPA is still lack of sufficient research. In this paper, we propose a new BPA visualization method based on the vector representation of the BPA to illustrate the image of BPA directly. The basic point and the uncertain vectors can be obtained by the given BPA firstly, and then we connect these components to construct the image of BPA. Through the image of BPA, we can effectively analyze the interaction effect of focal elements in BPA, and observe the potential characteristics of BPA directly. Meanwhile, the geometric meanings of parameters in the vector representation of the BPA can be explained. Finally, the advantages and applications have been studied and discussed.
Multicenter phase II clinical study of the efficiency and safety of capecitabine plus intermittent oxaliplatin with bevacizumab as first-line therapy in patients with metastatic colorectal cancer: the VOICE trial
Authors: Kosugi Chihiro , Koda Keiji , Denda Tadamichi , Ishibashi Keiichiro , Ishida Hideyuki , Seike Kazuhiro , Sakata Haruhito , Yanagisawa Shinji , Miyazaki Akinari , Takayama Wataru , Koike Naoto , Shimizu Hiroaki , Matsubara Hisahiro 
Published: April 2021

Abstract
Background: In the first-line treatment of metastatic colorectal cancer (mCRC) patients with CAPOX plus bevacizumab, the optimal duration of maintenance treatment without oxaliplatin to avoid discontinuation of therapy due to peripheral sensory neuropathy (PSN) remains unknown. The aim of this phase II study was to evaluate the efficacy and safety of combination therapy with five-cycle CAPOX (capecitabine plus oxaliplatin) plus bevacizumab, followed by five-cycle maintenance therapy with capecitabine plus bevacizumab and reintroduction of CAPOX plus bevacizumab for five cycles, with a preplanned oxaliplatin intermittent strategy in mCRC.Methods: Patients with untreated mCRC were administered CAPOX [oxaliplatin 130 mg/m2 and capecitabine (2000 mg/m2 daily) as intermittent treatment for 14 days, followed by a 7-day treatment-free interval, every 3 weeks] + bevacizumab (7.5 mg/kg) every 3 weeks for five cycles, maintenance treatment without oxaliplatin for five cycles, and CAPOX + bevacizumab reintroduction for five cycles or upon tumor progression. The primary endpoint was progression-free survival (PFS), and the secondary endpoints were the time to treatment failure (TTF), overall survival, response rate (RR), and safety.Results: Forty-seven patients who fulfilled the inclusion criteria were enrolled in the evaluation of efficacy and safety. The relative dose intensity and the cumulative dose of oxaliplatin during the overall treatment period were 649.1 mg/m2 and 1132.5 mg, respectively. Median PFS was 14.1 months (95% confidence interval [CI], 8.6–19.5), and median TTF was 12.3 months (95% CI, 10.3–14.3). The objective RRs were 51.1% (24/47) during induction therapy, 58.3% (21/36) during maintenance therapy, and 63.6% (14/22) during reintroduction therapy. The frequency of patients with neutropenia, diarrhea, PSN, venous thromboembolism, or grade ≥ 3 allergic reactions was 2.1%.Conclusion: CAPOX plus bevacizumab therapy with a preplanned intermittent oxaliplatin strategy consisting of brief five-cycle induction therapy, five-cycle maintenance therapy with capecitabine plus bevacizumab, and five-cycle reintroduction therapy consisting of CAPOX plus bevacizumab is safe and effective for mCRC patients.Trial registration: This trial was registered with the University Hospital Medical Information Network on 7 June 2011 (UMIN ID: 000005732).
The Clinical Application of Non-invasive Prenatal Genetic Testing in the Screening of Fetal Chromosomal Diseases
Authors: Pang Yu , wang chaohong , Tang Junxiang , Zhu Jiansheng 
Published: April 2021

Abstract
Objective：To explore the efficacy and clinical application value of non-invasive prenatal testing (non-invasive prenatal testing, NIPT) for screening fetal chromosomal abnormalities. Methods: NIPT was performed on 25,517 pregnant women. The high-risk samples were compared with amniotic fluid and cord blood chromosome karyotype analysis. Some samples were further verified by microarray (CMA), and pregnancy outcomes were followed up. Results: Of all the cases examined, 25502 cases were detected successfully, and a total of 294 high-risk samples (1.15%) were detected, of which further diagnosis was made in 208 cases, true positive samples were detected in 96 cases, and further tests were refused in 86 cases.71 cases (0.28%) of autosomal aneuploid high-risk samples were detected and 51 cases were diagnosed, including 44 cases of trisomy 21 (T21), 5 cases of trisomy 18 (T18), and 2 cases of trisomy 13 (T13). The PPV was 90.90%, 45.45% and 33.33%, respectively. Thirteen high-risk samples of trisomy 21, 18, and 13 were detected, and 1 case was confirmed as T21 mosaic PPV was 8.33% NPV was 100%. High-risk samples of sex chromosome aneuploidy (SCA) were detected in 72 cases (0.28%), 23 cases were diagnosed, and the PPV was 40.07%. The PPV was 12.00%, 50.00%, 72.73% and 75.00%, respectively, and the PPV was 12.00%, 50.00%, 72.73% and 75.00%, respectively. High-risk samples of copy number variation (CNV) were detected in 104 cases (0.41%), and 18 cases were diagnosed, with a PPV of 32.14%. Other high-risk samples of chromosome aneuploidy were detected in 34 cases (0.13%), and 3 cases were diagnosed as T2, T9, and T16, respectively. PPV is 8.70%.Conclusion: NIPT is suitable for trisomy 21, 18, and 13 screening, especially for T21. It also has a certain reference value for SCA and microdeletion and microduplication syndromes（MMS）, and it is not recommended for screening for other chromosomal aneuploidies.
Search for topological defect dark matter using the global network of optical magnetometers for exotic physics searches (GNOME)
Authors: Afach Samer , Buchler Ben , Budker Dmitry , Dailey Conner , Derevianko Andrei , Dumont Vincent , Figueroa Nataniel L. , Gerhardt Ilja , Grujic Zoran , Guo Hong , Hao Chuanpeng , Hamilton Paul , Hedges Morgan , Kimball Derek Jackson , Kim Dongok , Khamis Sami , Kornack Thomas , Lebedev Victor , Lu Zheng-Tian , Masia-Roig Hector , Monroy Madeline , Padniuk Mikhail , Palm Christopher , Park Sun Yool , Paul Karun , Penaflor Alexander , Peng Xiang , Pospelov Maxim , Preston Rayshaun , Pustelny Szymon , Scholtes Theo , Segura Perrin , Semertzidis Yannis , Sheng Dong , Shin Yun Chang , Smiga Joseph , Stalnaker Jason , Sulai Ibrahim , Tandon Dhruv , Wang Tao , Weis Antoine , Wickenbrock Arne , Wilson Tatum , Wu Teng , Wurm David , Xiao Wei , Yang Yucheng , Yu Dongrui , Zhang Jianwei 
Published: April 2021

Abstract
Results are reported from the first full-scale search for transient signals from exotic fields of astrophysical origin using data from a newly constructed Earth-scale detector: the Global Network of Optical Magnetometers for Exotic physics searches (GNOME). Data collected by the GNOME consist of correlated measurements from optical atomic magnetometers located in laboratories all over the world. GNOME data are searched for patterns of signals propagating through the network consistent with exotic fields composed of ultralight bosons such as axion-like particles (ALPs). Analysis of data from a continuous month-long operation of the GNOME finds no statistically significant signals consistent with those expected due to encounters with topological defects (axion domain walls), placing new experimental constraints on such dark matter scenarios.
Diving Beetle (Coleoptera: Dytiscidae) Community Dissimilarity Reveals How Low Landscape Connectivity Restricts the Ecological Value of Urban Ponds
Authors: Liao Wenfei , Venn Stephen , Niemelä Jari 
Published: April 2021

Abstract
Context: Structural and functional connectivity, as subconcepts of landscape connectivity, are key factors in biodiversity conservation and management. Previous studies have focused on the consequences of connectivity for populations of terrestrial organisms, which may not be appropriate for aquatic organisms. Objectives: As landscape connectivity critically affects the potential value of ponds for biodiversity, here we used diving beetles (Dytiscidae), an indicator taxon of wetland biodiversity, to investigate how structural connectivity affects functional connectivity to aquatic invertebrates in an urban landscape. Methods: We assessed pairwise similarities of dytiscid community, i.e. the variation of species composition between clustered and isolated ponds in the Helsinki Metropolitan Area, Finland. We investigated how dytiscid community similarity is affected by Euclidean distances between ponds, as an indicator of structural connectivity. Results: We found that clustered ponds shared more species than isolated ponds. Dytiscid species community similarity responded negatively to increasing Euclidean distance between ponds. Effectively dispersing species were widely distributed across the landscape, while poor dispersers were scarcely distributed in the same landscape. Conclusions: Structural connectivity determines which species are able to disperse successfully, with poor dispersers restricted to well-connected ponds. The different responses of effective dispersers and poor dispersers to the same structural connectivity indicates that functional connectivity determines species composition. We recommend providing well-connected aquatic habitats in urban landscapes and the implementation of measures to reduce isolation of wetland assemblages. Even clustered ponds need dispersal from other habitats to ensure their contribution to urban biodiversity.