bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automatic diagnosis of COVID-19 infection based on ontology reasoning
Authors: Wu Huanhuan , Zhong Yichen , Tian Yingjie , Jiang Shan , Luo Lingyun 
Published: November 2021

Abstract
Background
2019-nCoV has been spreading around the world and becoming a global concern. To prevent further widespread of 2019-nCoV, confirmed and suspected cases of COVID-19 infection are suggested to be kept in quarantine. However, the diagnose of COVID-19 infection is quite time-consuming and labor-intensive. To alleviate the burden on the medical staff, we have done some research on the intelligent diagnosis of COVID-19.

Methods
In this paper, we constructed a COVID-19 Diagnosis Ontology (CDO) by utilizing Protégé, which includes the basic knowledge graph of COVID-19 as well as diagnostic rules translated from Chinese government documents. Besides, SWRL rules were added into the ontology to infer intimate relationships between people, thus facilitating the efficient diagnosis of the suspected cases of COVID-19 infection. We downloaded real-case data and extracted patients’ syndromes from the descriptive text, so as to verify the accuracy of this experiment.

Results
After importing those real instances into Protégé, we demonstrated that the COVID-19 Diagnosis Ontology showed good performances to diagnose cases of COVID-19 infection automatically.

Conclusions
In conclusion, the COVID-19 Diagnosis Ontology will not only significantly reduce the manual input in the diagnosis process of COVID-19, but also uncover hidden cases and help prevent the widespread of this epidemic.
Enhancing unsupervised medical entity linking with multi-instance learning
Authors: Yan Cheng , Zhang Yuanzhe , Liu Kang , Zhao Jun , Shi Yafei , Liu Shengping 
Published: November 2021

Abstract
Background
A lot of medical mentions can be extracted from a huge amount of medical texts. In order to make use of these medical mentions, a prerequisite step is to link those medical mentions to a medical domain knowledge base (KB). This linkage of mention to a well-defined, unambiguous KB is a necessary part of the downstream application such as disease diagnosis and prescription of drugs. Such demand becomes more urgent in colloquial and informal situations like online medical consultation, where the medical language is more casual and vaguer. In this article, we propose an unsupervised method to link the Chinese medical symptom mentions to the ICD10 classification in a colloquial background.

Methods
We propose an unsupervised entity linking model using multi-instance learning (MIL). Our approach builds on a basic unsupervised entity linking method (named BEL), which is an embedding similarity-based EL model in this paper, and uses MIL training paradigm to boost the performance of BEL. First, we construct a dataset from an unlabeled large-scale Chinese medical consultation corpus with the help of BEL. Subsequently, we use a variety of encoders to obtain the representations of mention-context and the ICD10 entities. Then the representations are fed into a ranking network to score candidate entities.

Results
We evaluate the proposed model on the test dataset annotated by professional doctors. The evaluation results show that our method achieves 60.34% accuracy, exceeding the fundamental BEL by 1.72%.

Conclusions
We propose an unsupervised entity linking method to the entity linking in the medical domain, using MIL training manner. We annotate a test set for evaluation. The experimental results show that our model behaves better than the fundamental model BEL, and provides an insight for future research.
Enriching limited information on rare diseases from heterogeneous networks for drug repositioning
Authors: Cao Hongkui , Zhang Liang , Jin Bo , Cheng Shicheng , Wei Xiaopeng , Che Chao 
Published: November 2021

AbstractBackgroundThe historical data of rare disease is very scarce in reality, so how to perform drug repositioning for the rare disease is a great challenge. Most existing methods of drug repositioning for the rare disease usually neglect father–son information, so it is extremely difficult to predict drugs for the rare disease.MethodIn this paper, we focus on father–son information mining for the rare disease. We propose GRU-Cooperation-Attention-Network (GCAN) to predict drugs for the rare disease. We construct two heterogeneous networks for information enhancement, one network contains the father-nodes of the rare disease and the other network contains the son-nodes information. To bridge two heterogeneous networks, we set a mapping to connect them. What’s more, we use the biased random walk mechanism to collect the information smoothly from two heterogeneous networks, and employ a cooperation attention mechanism to enhance repositioning ability of the network.ResultComparing with traditional methods, GCAN makes full use of father–son information. The experimental results on real drug data from hospitals show that GCAN outperforms state-of-the-art machine learning methods for drug repositioning.ConclusionThe performance of GCAN for drug repositioning is mainly limited by the insufficient scale and poor quality of the data. In future research work, we will focus on how to utilize more data such as drug molecule information and protein molecule information for the drug repositioning of the rare disease.
A protocol for the Development of Core Outcome Sets for Endodontic Treatment modalities (COSET): an international consensus process
Authors: El Karim I. A. , Duncan H. F. , Cushley S. , Nagendrababu V. , Kirkevang L. L. , Kruse C. , Chong B. S. , Shah P. K. , Lappin M. , McLister C. , Lundy F. T. , Clarke M. 
Published: November 2021

Abstract
Background
The outcome of endodontic treatment is generally assessed using a range of patient and clinician-centred, non-standardised clinical and radiographic outcome measures. This makes it difficult to synthesise evidence for systematic analysis of the literature and the development of clinical guidelines. Core outcome sets (COS) represent a standardised list of outcomes that should be measured and reported in all clinical studies in a particular field. Recently, clinical researchers and guideline developers have focussed on the need for the integration of a patient-reported COS with clinician-centred measures. This study aims to develop a COS that includes both patient-reported outcomes and clinician-centred measures for various endodontic treatment modalities to be used in clinical research and practice.

Methods
To identify reported outcomes (including when and how they are measured), systematic reviews and their included clinical studies, which focus on the outcome of endodontic treatment and were published between 1990 and 2020 will be screened. The COSs will be defined by a consensus process involving key stakeholders using semi-structured interviews and an online Delphi methodology followed by an interactive virtual consensus meeting. A heterogeneous group of key ‘stakeholders’ including patients, general dental practitioners, endodontists, endodontic teachers, clinical researchers, students and policy-makers will be invited to participate. Patients will establish, via interactive interviews, which outcomes they value and feel should be included in a COS. In the Delphi process, other stakeholders will be asked to prioritise outcomes identified from the literature and patient interviews and will have the opportunity at the end of the first round to add outcomes that are not included, but which they consider relevant. Feedback will be provided in the second round, when participants will be asked to prioritise the list again. If consensus is reached, the remaining outcomes will be discussed at an online meeting and agreement established via defined consensus rules of outcome inclusion. If consensus is not reached after the second round, a third round will be conducted with feedback, followed by the online meeting. Following the identification of a COS, we will proceed to identify how and when these outcomes are measured.

Discussion
Using a rigorous methodology, the proposed consensus process aims to develop a COS for endodontic treatment that will be relevant to stakeholders. The results of the study will be shared with participants and COS users. To increase COS uptake, it will also be actively shared with clinical guideline developers, research funders and the editors of general dental and endodontology journals.

Trial registration
COMET 1879. 21 May 2021.
Techniques and Technologies to Improve Peripheral Intravenous Catheter Outcomes in Pediatric Patients: Systematic Review and Meta‐Analysis
Authors: Kleidon Tricia M , Schults Jessica , Rickard Claire M , Ullman Amanda J 
Published: November 2021

OBJECTIVEInsertion and function of pediatric peripheral intravenous catheters (PIVCs) present challenges. We systematically reviewed techniques and technologies to improve PIVC outcomes (first‐time insertion success, overall insertion success, time to insertion, dwell time, failure, and complications).DATA SOURCESCochrane Central Register of Controlled Trials (CONTROL), Cumulative Index to Nursing and Allied Health (CINAHL), US National Library of Medicine, and Embase.STUDY SELECTIONEnglish‐language pediatric trials published post 2010 reporting PIVC outcomes.DATA EXTRACTIONFollowing Cochrane standards, two authors screened, extracted, and critiqued study quality (Grading of Recommendations Assessment, Development and Evaluation approach) data, random effects analysis, results expressed as risk ratios (RR), mean differences (MD) and 95% CIs.RESULTSTwenty‐one studies (3237 children; 3098 PIVCs) were included. First‐time insertion success significantly increased with ultrasound guidance (compared with landmark insertion; RR, 1.60; 95% CI, 1.02‐2.50). Use of ultrasound guidance (compared with landmark insertion) did not improve overall PIVC insertion success (RR, 1.10; 95% CI, 0.94‐1.28). There was no evidence of an effect of near‐infrared (compared with landmark) on first‐time insertion success (RR, 1.21; 95% CI, 0.91‐1.59) or number of attempts (MD, –0.65; 95% CI, –1.59 to 0.29); however, it significantly reduced PIVC insertion time (MD, –132.47; 95% CI, –166.68 to –98.26) and increased first‐time insertion success in subgroup analysis of patients with difficult intravenous access (RR, 2.72; 95% CI, 1.02‐7.24).LIMITATIONSFew studies per intervention, small sample sizes, and inconsistent outcome measures precluded definitive conclusions.CONCLUSIONSUltrasound and near‐infrared appear to improve pediatric PIVC insertion. High‐quality studies examining the full extent of techniques and technologies are needed.
Visualization in Operations Management Research
Authors: Basole Rahul , Bendoly Elliot , Chandrasekaran Aravind , Linderman Kevin 
Published: November 2021

The unprecedented availability of data, along with the growing variety of software packages to visualize it, presents both opportunities and challenges for operations management (OM) research. OM researchers typically use data to describe conditions, predict phenomena, or make prescriptions depending on whether they are building, testing, or translating theories to practice. Visualization, when used appropriately, can complement, aid, and augment the researcher’s understanding in the different stages of research (theory building, testing, or translating and conveying results). On the other hand, if used incorrectly or without sufficient consideration, visualization can yield misleading and erroneous claims. This article formally examines the benefits of visualization as a complementary method enhancing each stage of a broader OM research strategy by examining frameworks and cases from extant research in different OM contexts. Our discussion offers guidance with regard to researchers’ use of visual data renderings, particularly toward avoiding misrepresentation, which can arise with the incorrect use of visualization. We close with a consideration of emerging trends and their implications for researchers and practitioners as well as recommendations for both authors and reviewers, regardless of domain, in evaluating the effectiveness of visuals at each stage of research.History: Rema Padman and Kwok Tsui served as senior editors for this article.
Design of Four-Core Uncoupled Multicore Fiber for Next-Generation Inter-Data Center Networks
Authors: Ponchua Jirasak , Sitjongsataporn Suchada 
Published: November 2021

The increasing demands within and between the data centers used for data traffic has required. Efficient links are important to data center applications for supporting the unlimited demand. Transmission capacity of single-mode fiber (SMF) is limited by fiber nonlinearity which prevents the increasing transmission power and finite amplifier bandwidth. Single-mode multi-core fibers (SM-MCFs) that are expected to overcome the current limitation of optical communication capacity. However, the inter-core crosstalk still has an effect on SM-MCF, which can limit the transmission of the inter-data center. In this paper, the design of four-core uncoupled multicore fiber is discussed for next generation inter-data center networks in order to support the unlimited use of data traffic in the future. The objective of this paper is to determine the appropriate range of core radius and core pitch, which are taken into consideration to reduce the inter-core crosstalk inside the optical fiber. These parameters can be able to improve various constraints to achieve the best multi-core fibers design. From the simulation concerned with the inter-core crosstalk, the experiment results show that the range of core pitch is at 47.5 μm to 50 μm and the range of core radius starts from 4.5 μm to 5.5 μm, that can achieve with crosstalk lower than – 30 dB/100 km for the future inter-data center networks.
Impact of acute kidney injury on graft outcomes of deceased donor kidney transplantation: A nationwide registry-based matched cohort study in Korea
Authors: Ha Jane , Jung Cheol Woong , Choi Sunkyu , Kim Myung-Gyu , Gwon Jun Gyo , Kim Joong Kyung , Kim Chan-Duck , Min Ji Won , Yang Jaeseok , Ahn Curie ,   on behalf of the Korean Organ Transplantation Registry Study group
Published: November 2021

Background
Favorable long-term and short-term graft survival and patient survival after kidney transplantation (KT) from deceased donors with acute kidney injury (AKI) have been reported. However, few studies have evaluated effects of donor AKI status on graft outcomes after KT in Asian population. Thus, the purpose of this study was to evaluate graft function after KTs from donors with AKI compared to matched KTs from donors without AKI using a multicenter cohort in Korea.

Methods
We analyzed a total of 1,466 KTs collected in Korean Organ Transplant Registry between April 2014 and December 2017. KTs from AKI donors (defined as donors with serum creatinine level ≥ 2 mg/dL) and non-AKI donors (275 cases for each group) were enrolled using a 1:1 propensity score matching. Graft outcomes including graft and patient survival, delayed graft function (DGF), rejection rate, and serially measured estimated glomerular filtration rate (eGFR) were evaluated.

Results
After propensity matching, KTs from AKI donors showed higher rate of DGF (44.7% vs. 24.0%, p < 0.001). However, the rejection rate was not significantly different between the two groups (KTs from AKI donors vs. KTs from non-AKI donors). eGFRs measured after 6 months, 1 year, 2 years and 3 years were not significantly different by donor AKI status. With median follow-up duration of 3.52 years, cox proportional hazards models revealed hazard ratio of 0.973 (95% confidence interval [CI], 0.584 to 1.621), 1.004 (95% CI, 0.491 to 2.054) and 0.808 (95% confidence interval [CI], 0.426 to 1.532) for overall graft failure, death-censored graft failure and patient mortality, respectively, in KTs from AKI donors compared to KTs from non-AKI donors as a reference.

Conclusions
KTs from AKI donors showed comparable outcomes to KTs from non-AKI donors, despite a higher incidence of DGF. Results of this study supports the validity of using kidneys from deceased AKI donors in Asian population.
Désignation et représentation des éléments topographiques dans les dialectes de France : synthèse générale (relief, cours d’eau, cavernes)
Authors: Giudice Philippe Del 
Published: November 2021

Abstract
As the second part of a general study about semantic determinism, this article continues to analyze the topographic lexicon of Gallo-Romance dialects. The new concepts (‘river’, ‘brook’, ‘valley’, ‘cave’) that I examine in this paper complete my previous survey about the designations of hills and mountains. Most of all, the new set of data allows me to go beyond isolated concepts and to present for the first time the motivational synthesis of a whole theme. The result is that, whatever the concept, words referring to topography are generally created according to four matrices of designation: such words originally allude to (1) level; (2) concavity/convexity; (3) physical composition; or stem from a (4) conceptual confusion due to adjacency. The method that reduces hundreds of lexical forms to a handful of creative patterns leads to a direct perception of how the lexicon is structured and has a strong heuristic potential.
Limit Theorems for a Strongly Supercritical Branching Process with Immigration in Random Environment
Authors: Afanasyev Valeriy Ivanovich 
Published: November 2021

Abstract
We consider a strongly supercritical branching process in random environment with immigration stopped at a distant time 𝑛.
The offspring reproduction law in each generation is assumed to be geometric.
The process is considered under the condition of its extinction after time 𝑛.
Two limit theorems for this process are proved: the first one is for the time interval from 0 till 𝑛, and the second one is for the time interval from 𝑛 till

+
∞

+\infty

.
In silico approach to understand epigenetics of POTEE in ovarian cancer
Authors: Qazi Sahar , Raza Khalid 
Published: November 2021

Abstract
Ovarian cancer is the third leading cause of cancer-related deaths in India. Epigenetics mechanisms seemingly plays an important role in ovarian cancer. This paper highlights the crucial epigenetic changes that occur in POTEE that get hypomethylated in ovarian cancer. We utilized the POTEE paralog mRNA sequence to identify major motifs and also performed its enrichment analysis. We identified 6 motifs of varying lengths, out of which only three motifs, including CTTCCAGCAGATGTGGATCA, GGAACTGCC, and CGCCACATGCAGGC were most likely to be present in the nucleotide sequence of POTEE. By enrichment and occurrences identification analyses, we rectified the best match motif as CTTCCAGCAGATGT. Since there is no experimentally verified structure of POTEE paralog, thus, we predicted the POTEE structure using an automated workflow for template-based modeling using the power of a deep neural network. Additionally, to validate our predicted model we used AlphaFold predicted POTEE structure and observed that the residual stretch starting from 237-958 had a very high confidence per residue. Furthermore, POTEE predicted model stability was evaluated using replica exchange molecular dynamic simulation for 50 ns. Our network-based epigenetic analysis discerns only 10 highly significant, direct, and physical associators of POTEE. Our finding aims to provide new insights about the POTEE paralog.
Predictors of decreased bone mineral density in childhood systemic lupus erythematosus: possible role of osteoprotegerin gene polymorphisms
Authors: Eid Riham , Abdelsalam Maha , Fathy Aya A , Abd-El Ghaffar Dena M , Elmarghany Eman B , El-Hanafy Aya A , Mostafa Nora , Hamdy Nashwa , Niazy Nermeen A , Hammad Ayman , Abolenein Hadil M 
Published: November 2021

Abstract

Objectives
This study aims to explore effects of osteoprotegerin (OPG) gene polymorphisms and other possible factors on bone mineral density (BMD) in children with systemic lupus erythematosus (SLE).

Methods
Osteoprotegerin gene rs2073617 and rs3134069 were evaluated in 74 SLE patients and 100 controls then genotypes, alleles and haplotypes’ frequencies were compared between cases and controls and between patients with BMD z-scores above and below −2 evaluated by dual energy X-ray absorptiometry (DEXA). Disease activity was evaluated by SLE disease activity index (SLEDAI).

Results
The patients aged 14.01 ± 2.6 years and included 57 (77%) females and 27 (36%) patients with BMD z-score below −2. Genotypes, alleles, and haplotypes frequencies did not differ between patients and controls (p>0.05 for all). Rs3134069 GG genotype and G allele (p=0.001, 0.002) and rs2073617 TT genotype and T allele (p=0.01, 0.006) were significantly higher in patients with BMD below −2. Cumulative glucocorticoids dose, disease duration, and SLEDAI scores were higher in patients with BMD below −2 (p=0.01, 0.01, <0.001, respectively). Regression analysis showed T allele of rs2073617, duration of illness (above 36 months), and cumulative SLEDAI (above 10) as independent predictors of decreased BMD (p 0.02, 0.003, and 0.002, respectively).

Conclusions
This is the first study to demonstrate OPG gene influence on BMD in children with SLE. The studied SNPs are not risk for developing SLE but, rs2073617 T allele is a possible predictor for reduced BMD in SLE. Other predictors include long disease duration and high activity supporting that osteoporosis in SLE is multifactorial.
Visions of lexicography of a semantic European
Authors: Reichmann Oskar 
Published: November 2021

Abstract
In this essay, it is assumed that the languages of Latin Europe do have many semantic features in common, which contradicts the prevailing view of a general semantic particularity of every individual language and thus the exploitation for national-political purposes arising from that view. However, the proposition made here requires a summary and the assessment of different semantic concepts led by the idea of commonality. By means of individual cases that can be understood as relevant examples, a vision of lexicography will follow that aims at replacing the biologistic concept of a genetic explanation for contrastive semantics by the concept of a comparative semantics that is based on socio-historical, cultural-historcial and textual-historical arguments. In doing so, a historiography relating to the subject-matter of “semantics” will be suggested that assigns a semantic bridging function to Late Antiquity / Early Medieval Latin in relation to all languages of Latin Europe. The logic of the argument implies that a new era of semantic history begins upon the development of a structure of national languages in Europe, whose historical basis can still be recognised in the semantic communalities.
Interlinguality in historical conceptography
Authors: Bär Jochen A. 
Published: November 2021

Abstract
The article deals with theoretical and methodological questions raised by the idea of a multilingually oriented lexicography of discourse. The fact that words often cannot be translated exactly, but are to be seen in different lexical field contexts in each individual language will be treated as well as the phenomenon of interlingual influence (especially in cases of active multilingualism shown by single discourse actors). After some introductory remarks and general observations, a proposal will be developed (based on a historical example: the discourse of European Romanticism) as to how a discourse lexicography that crosses language borders could be structured.