bluuebunny/crossref_metadata_2025_split huggingface dataset:
TOPSIS Method for Decision Support Systems in Determining the Interests of Medical Student
Authors: Riswanto E , Melany D R , Wiratama B S , Syafrianto  
Published: July 2020

Abstract
Learning modules selected at Medical Education Study Program of Gadjah Mada University is not accordance with the student’s interests and abilities. Some modules does not give a detailed information. Student tend to choose the recommended modules with highly subjective consideration, following recommendation from classmates or senior. This study uses the TOPSIS method. it is used in decision support systems. The system developed is not a decision making tool, but a system that helps decision makers with information from data that has been processed. Results of implementing decision support system using TOPSIS method are module chosen according to student’s interest. Through interest test, the student completes the questions that are available in each module block. Student not need to read the entire module overview. Decision support system display an appropriate module overview through ranking result from the prediction analysis of student interest and abilities.
Automatic Question Generator System Conceptual Model for Mathematic and Geometry Parallel Question Replication
Authors: Prasetyanto A A B , Adji T B , Hidayah I 
Published: July 2020

AbstractWeaknesses in the paper assessment process have been able to overcome using the Computer Assisted Assessment (CAA) objective question. The weakness that can be overcome is the reduction in time for correction and the process of handling thousands of participants simultaneously. However, the process of preparing objective questions is still constrained by providing parallel questions. Parallel questions are made so that each examinee gets a different question but has the same level of difficulty. Making parallel questions manually requires expensive costs and the consistency of the difficulty level must be the same. Some researchers propose an Automatic Question Generation (AQG) system to overcome these problems. In this study an AQG system will be developed to make parallel questions for the material tested at each school level. The process of previous generating questions that can only detect text and numeric variables, will be developed so that they can detect image variables and can detect geometry types based on numerical variables. The system is expected to work like humans who can make questions when given a text, numeric, image, or mathematical notation. By combining the Stem, Multi Part Parser Algorithm and the Custom Media Type Parser Algorithm in the Python-Django framework, the system can provide question recommendations according to mathematical geometry-based input. The process of generating items in this study will use the concept of manipulation of keywords represented by variables. This variable stores values in the form of text, numeric, and image. The ability to manipulate text, numerics, and images is applied to the developed AQG system so that it can be used to generate questions on the material to be tested. AQG is expected to be able to detect text, numeric, notation, and image input and produce output in the form of geometry-based mathematical problems according to text, numeric, notation, and image input with a better level of accuracy.
Interference Mitigation using Adaptive Beamforming with RLS Algorithm for Coexistence between 5G and Fixed Satellite Services in C-Band
Authors: Muhammad C B , Anwar K 
Published: July 2020

Abstract
Smart antenna system is one of the most suitable techniques making the sharing between incumbent Fixed Satellite Services (FSS) and the Fifth Telecommunication Generation (5G) possible, because adaptive beamforming can make null the beam towards the FSS earth station. This paper proposes the use of Recursive Least Square (RLS) algorithm for adaptive beamforming in 5G Base Station (BS) having a null beam toward FSS earth station. We perform a computer simulation to evaluate the proposed RLS algorithm and compare the result in terms of separation distance between FSS earth station and 5G BS with and without RLS algorithm. The results confirmed that the RLS algorithm for adaptive beamforming makes the coexistence between 5G and FSS possible indicated by the significant reduction of separation distance between FSS earth station and 5G BS leading to the minimum interference of 5G BS to the FSS earth station.
System Identification of Two-Wheeled Robot Dynamics Using Neural Networks
Authors: Uddin N 
Published: July 2020

Abstract
A system identification of two-wheeled robot (TWR) moving on planar space is presented by applying using neural networks. The system identification is to model the TWR dynamics which is a nonlinear system. The model is applied for estimating the TWR posture during the movements. Neural networks applied in the system identification is multi later perceptron. The neural networks consists of three layers with eight neurons at the first layer, five neurons at the second layer, and three neurons at the third layers. The neural networks is trained to model the TWR dynamics based on a set of input and output data. The system identification is demonstrated through computer simulations. The results show that the system identification using neural networks is able to model the TWR dynamics. The neural networks with learning rate 0.005 is able to estimate the TWR posture with convergence time 0.5 seconds.
Naïve Bayes Method to Determine Learning Specialization for New Students
Authors: Wahyu M , Munaji A A , Halim R A , Santoso A J 
Published: July 2020

Abstract
In life, a person is often confronted with several choices and is required to be able to choose from those choices. One example is the selection of Major’s specialization. There are several campuses or universities in Indonesia that require students to choose the type of specialization or concentration before starting their first lecture, such as the Postgraduate Program at Universitas Atma Jaya Yogyakarta. Naive Bayes method is one of the probability methods used to predict the likelihood that will occur in the future by using previous data. The purpose of this study is to use the Naive Bayes method to make a recommendation based on the attributes that have been determined. The method used in this research is: data collection using qualitative methods and distributing questionnaires to parties related to this research. As for the points of the questions in the questionnaire are (1) the previous department, (2) the final score of the cumulative achievement index, (3) interest in the field, (4) individual ability, (5) certain subject values, (6) concentration chosen, and (7) the level of suitability of concentration selection. This study uses a sample data of 25 Postgraduate students of Magister Teknik Informatika at Universitas Atma Jaya Yogyakarta. The results of this study are a recommendation for the selection of majors at the Postgraduate Department of Universitas Atma Jaya Yogyakarta.
Time-Dependent Apparent Increase in dd-cfDNA Percentage in Clinically Stable Patients Between One and Five Years Following Kidney Transplantation
Authors: Schütz Ekkehard , Asendorf Thomas , Beck Julia , Schauerte Verena , Mettenmeyer Nina , Shipkova Maria , Wieland Eberhard , Kabakchiev Mariana , Walson Philip D , Schwenger Vedat , Oellerich Michael 
Published: July 2020

Abstract

Background
Donor-derived cell-free DNA (dd-cfDNA) is reportedly a valuable tool for graft surveillance following kidney transplantation (KTx). Possible changes in dd-cfDNA(%) reference values over time have not been evaluated. For long-term monitoring after KTx, changes in host cfDNA might represent a biasing factor in dd-cfDNA(%) determinations.

Methods
Plasma samples were obtained (n = 929) 12–60 months after engraftment in a cross-sectional cohort of 303 clinically stable KTx recipients. Total cfDNA(copies/mL), dd-cfDNA(%), and dd-cfDNA(copies/mL) were determined using droplet-digital PCR. Stability of threshold values in these stable KTx recipients over time was assessed by 80th, 85th, and 90th quantile regression.

Results
Upper percentiles of total cfDNA showed a significant decline of −1902, −3589, and −4753 cp/mL/log(month) (P = 0.014, &lt;0.001, and 0.017, respectively), resulting in increasing dd-cfDNA(%) percentiles by 0.25, 0.46, and 0.72%/log(month) (P = 0.04, 0.001, and 0.002, respectively), with doubling of the 85th percentile value by 5 years. In contrast, dd-cfDNA(cp/mL) was stable during the observation period (P = 0.52, 0.29, and 0.39). In parallel increasing white blood cell counts and decreasing tacrolimus concentrations over time were observed. After 5 years, the median total cfDNA was still 1.6-fold (P &lt; 0.001) higher in KTx recipients than in healthy controls (n = 135) and 1.4-fold (P &lt; 0.001) higher than patients with other medical conditions (n = 364).

Conclusions
The time-dependent decrease of host cfDNA resulted in an apparent increase of dd-cfDNA fraction in stable KTx patients. For long-term surveillance, measurement of absolute dd-cfDNA concentrations appears to be superior to percentages to minimize false positive results.
Economic Evaluation of Sedative Deprescribing in Older Adults by Community Pharmacists
Authors: Turner Justin P , Sanyal Chiranjeev , Martin Philippe , Tannenbaum Cara 
Published: July 2020

AbstractBackgroundSedative use in older adults increases the risk of falls, fractures, and hospitalizations. The D-PRESCRIBE (Developing Pharmacist-Led Research to Educate and Sensitize Community Residents to the Inappropriate Prescriptions Burden in the Elderly), pragmatic randomized clinical trial demonstrated that community-based, pharmacist-led education delivered simultaneously to older adults and their primary care providers reduce the use of sedatives by 43% over 6 months. However, the associated health benefits and cost savings have yet to be described. This study evaluates the cost-effectiveness of the D-PRESCRIBE intervention compared to usual care for reducing the use of potentially inappropriate sedatives among older adults.MethodsA cost-utility analysis from the public health care perspective of Canada estimated the costs and quality-adjusted life-years (QALYs) associated with the D-PRESCRIBE intervention compared to usual care over a 1-year time horizon. Transition probabilities, intervention effectiveness, utility, and costs were derived from the literature. Probabilistic analyses were performed using a decision tree and Markov model to estimate the incremental cost-effectiveness ratio.ResultsCompared to usual care, pharmacist-led deprescribing is less costly (−$1392.05 CAD) and more effective (0.0769 QALYs). Using common willingness-to-pay (WTP) thresholds of $50 000 and $100 000, D-PRESCRIBE was the optimal strategy. Scenario analysis indicated the cost-effectiveness of D-PRESCRIBE is sensitive to the rate of deprescribing.ConclusionsCommunity pharmacist-led deprescribing of sedatives is cost-effective, leading to greater quality-of-life and harm reduction among older adults. As the pharmacist’s scope of practice expands, consideration should be given to interprofessional models of remuneration for quality prescribing and deprescribing services.
Acute Kidney Injury Is Associated With In-hospital Mortality in Older Patients With COVID-19
Authors: Yan Qi , Zuo Peiyuan , Cheng Ling , Li Yuanyuan , Song Kaixin , Chen Yuting , Dai Yue , Yang Yi , Zhou Lun , Yu Weiwei , Li Yongsheng , Xie Min , Zhang Cuntai , Gao Hongyu 
Published: July 2020

AbstractBackgroundThe epidemic of COVID-19 presents a special threat to older adults. However, information on kidney damage in older patients with COVID-19 is limited. Acute kidney injury (AKI) is common in hospitalized adults and associated with poor prognosis. We sought to explore the association between AKI and mortality in older patients with COVID-19.MethodsWe conducted a retrospective, observational cohort study in a large tertiary care university hospital in Wuhan, China. All consecutive inpatients older than 65 years with COVID-19 were enrolled in this cohort. Demographic data, laboratory values, comorbidities, treatments, and clinical outcomes were all collected. Data were compared between patients with AKI and without AKI. The association between AKI and mortality was analyzed.ResultsOf 1764 in-hospital patients, 882 older adult cases were included in this cohort. The median age was 71 years (interquartile range: 68–77), 440 (49.9%) were men. The most presented comorbidity was cardiovascular diseases (58.2%), followed by diabetes (31.4%). Of 882 older patients, 115 (13%) developed AKI and 128 (14.5%) died. Patients with AKI had higher mortality than those without AKI (68 [59.1%] vs 60 [7.8%]; p &lt; .001). Multivariable Cox regression analysis showed that increasing odds of in-hospital mortality are associated with higher interleukin-6 on admission, myocardial injury, and AKI.ConclusionsAcute kidney injury is not an uncommon complication in older patients with COVID-19 but is associated with a high risk of death. Physicians should be aware of the risk of AKI in older patients with COVID-19.
Frequency and hydrogen bonding of nucleobase homopairs in small molecule crystals
Authors: Cabaj Małgorzata Katarzyna , Dominiak Paulina Maria 
Published: July 2020

Abstract
We used the high resolution and accuracy of the Cambridge Structural Database (CSD) to provide detailed information regarding base pairing interactions of selected nucleobases. We searched for base pairs in which nucleobases interact with each other through two or more hydrogen bonds and form more or less planar structures. The investigated compounds were either free forms or derivatives of adenine, guanine, hypoxanthine, thymine, uracil and cytosine. We divided our findings into categories including types of pairs, protonation patterns and whether they are formed by free bases or substituted ones. We found base pair types that are exclusive to small molecule crystal structures, some that can be found only in RNA containing crystal structures and many that are native to both environments. With a few exceptions, nucleobase protonation generally followed a standard pattern governed by pKa values. The lengths of hydrogen bonds did not depend on whether the nucleobases forming a base pair were charged or not. The reasons why particular nucleobases formed base pairs in a certain way varied significantly.
How to Poll Runoff Elections
Authors: Selb Peter , Göbel Sascha , Lachat Romain 
Published: July 2020

AbstractWe present a polling strategy to predict and analyze runoff elections using the 2017 French presidential race as an empirical case. This strategy employs rejective probability sampling to identify a small sample of polling stations that is balanced with respect to past election results. We then survey the voters’ candidate evaluations in first-round exit polls. We poststratify the voter sample to first-round election returns to account for nonresponse and coverage issues, and impute missing candidate evaluations to emulate campaign learning. Next, the votes for eliminated competitors are redistributed according to their supporters’ lower-order preferences. Finally, the predictions are validated against official results and other polls. We end with a discussion of the advantages and limitations of this approach.
Impact of COVID-19 outbreak by income: hitting hardest the most deprived
Authors: Baena-Díez Jose Miguel , Barroso María , Cordeiro-Coelho Sara Isabel , Díaz Jorge L , Grau María 
Published: July 2020

Abstract

Background
The impact of the 2019 coronavirus disease (COVID-19) has many facets. This ecological study analysed age-standardized incidence rates by economic level in Barcelona.

Methods
We evaluated confirmed cases of COVID-19 in Barcelona (Spain) between 26 February 2020 and 19 April 2020. Districts were classified according to most recent (2017) mean income data. The reference for estimating age-standardized cumulative incidence rates was the 2018 European population. The association between incidence rate and mean income by district was estimated with the Spearman rho.

Results
The lower the mean income, the higher the COVID-19 incidence (Spearman rho = 0.83; P value = 0.003). Districts with the lowest mean income had the highest incidence of COVID-19 per 10 000 inhabitants; in contrast, those with the highest income had the lowest incidence. Specifically, the district with the lowest income had 2.5 times greater incidence of the disease, compared with the highest-income district [70 (95% confidence interval 66–73) versus 28 (25–31), respectively].

Conclusions
The incidence of COVID-19 showed an inverse socioeconomic gradient by mean income in the 10 districts of the city of Barcelona. Beyond healthcare for people with the disease, attention must focus on a health strategy for the whole population, particularly in the most deprived areas.
Bayesian Tip-Dated Phylogenetics in Paleontology: Topological Effects and Stratigraphic Fit
Authors: King Benedict 
Published: July 2020

Abstract
The incorporation of stratigraphic data into phylogenetic analysis has a long history of debate but is not currently standard practice for paleontologists. Bayesian tip-dated (or morphological clock) phylogenetic methods have returned these arguments to the spotlight, but how tip dating affects the recovery of evolutionary relationships has yet to be fully explored. Here I show, through analysis of several data sets with multiple phylogenetic methods, that topologies produced by tip dating are outliers as compared to topologies produced by parsimony and undated Bayesian methods, which retrieve broadly similar trees. Unsurprisingly, trees recovered by tip dating have better fit to stratigraphy than trees recovered by other methods under both the Gap Excess Ratio (GER) and the Stratigraphic Completeness Index (SCI). This is because trees with better stratigraphic fit are assigned a higher likelihood by the fossilized birth-death tree model. However, the degree to which the tree model favors tree topologies with high stratigraphic fit metrics is modulated by the diversification dynamics of the group under investigation. In particular, when net diversification rate is low, the tree model favors trees with a higher GER compared to when net diversification rate is high. Differences in stratigraphic fit and tree topology between tip dating and other methods are concentrated in parts of the tree with weaker character signal, as shown by successive deletion of the most incomplete taxa from two data sets. These results show that tip dating incorporates stratigraphic data in an intuitive way, with good stratigraphic fit an expectation that can be overturned by strong evidence from character data. [fossilized birth-death; fossils; missing data; morphological clock; morphology; parsimony; phylogenetics.]
Phylogeny Estimation Given Sequence Length Heterogeneity
Authors: Smirnov Vladimir , Warnow Tandy 
Published: July 2020

AbstractPhylogeny estimation is a major step in many biological studies, and has many well known challenges. With the dropping cost of sequencing technologies, biologists now have increasingly large datasets available for use in phylogeny estimation. Here we address the challenge of estimating a tree given large datasets with a combination of full-length sequences and fragmentary sequences, which can arise due to a variety of reasons, including sample collection, sequencing technologies, and analytical pipelines. We compare two basic approaches: (1) computing an alignment on the full dataset and then computing a maximum likelihood tree on the alignment, or (2) constructing an alignment and tree on the full length sequences and then using phylogenetic placement to add the remaining sequences (which will generally be fragmentary) into the tree. We explore these two approaches on a range of simulated datasets, each with 1000 sequences and varying in rates of evolution, and two biological datasets. Our study shows some striking performance differences between methods, especially when there is substantial sequence length heterogeneity and high rates of evolution. We find in particular that using UPP to align sequences and RAxML to compute a tree on the alignment provides the best accuracy, substantially outperforming trees computed using phylogenetic placement methods. We also find that FastTree has poor accuracy on alignments containing fragmentary sequences. Overall, our study provides insights into the literature comparing different methods and pipelines for phylogenetic estimation, and suggests directions for future method development. [Phylogeny estimation, sequence length heterogeneity, phylogenetic placement.]
Ultraviolet light activates PMK-1/p38 MAPK signaling via MOM-4 and JKK-1 in Caenorhabditis elegans
Authors: Ma Jing , Jiang Xinghao , Yarui An , Danli Jin , Xiaodie Yin , Zhang Jian , Xu Ajing 
Published: July 2020

Abstract
P38 mitogen-activated protein kinase (p38 MAPK) plays an important role in innate immunity and is activated by ultraviolet (UV) radiation. However, the molecular mechanism underlying UV stress remains unclear. In this study, we reported that UV activated PMK-1/p38 MAPK signaling via JKK-1 and MOM-4 in Caenorhabditis elegans. In C. elegans, different UV radiation doses resulted in PMK-1 phosphorylation. However, pmk-1 mutants failed to demonstrate an altered survival time in response to UV when compared with wild-type worms. Further analysis showed that JKK-1, but not SEK-1 mutants, displayed impaired PMK-1 activation following UV irradiation, suggesting that JKK-1 is the upstream MAP2K for the activation of PMK-1 in C. elegans under UV stimulation. UV-induced activation of PMK-1 was markedly reduced in MOM-4, but not in NSY-1 and DLK-1 mutant worms, suggesting that MOM-4 is the upstream MAP3K regulator of PMK-1 activation in response to UV stress in C. elegans. Additionally, daf-16 mutants displayed a shorter lifespan under UV stress, but UV-induced activation of PMK-1 was not markedly reduced in daf-16 and age-1 mutant worms. Our results revealed the signaling pathway involved in PMK-1 activation in C. elegans in response to UV radiation.
Adult vernal keratoconjunctivitis
Authors: Di Zazzo Antonio , Bonini Stefano , Fernandes Merle 
Published: July 2020

Purpose of review
Vernal keratoconjunctivitis (VKC) is a rare chronic self-limiting allergic inflammatory disease of the ocular surface mostly affecting young boys in their first decade of life. In the last few years a new clinical entity of VKC has been described: adult VKC. Two variants have been identified according to clinical onset: early (childhood VKC persisting beyond puberty) and late onset (arising de novo in adults) adult VKC. Several epidemiologic studies on VKC have been published from single tertiary centers but while the age distribution of VKC patients does show a small percentage of adults with the disease, detailed analysis on this small subset of adult VKC cases is lacking. In this review we describe pathogenesis, clinical features, diagnostic alternatives, and therapeutic alternatives of this highly invalidating disease.

Recent findings
Adult variants of VKC have same clinical manifestations of classic form, but show higher inflammatory response and increased risk of chronic fibrotic sequelae.

Summary
Adult VKC research could provide insights on the impact of sex hormones in the pathogenesis of allergic diseases and on the mechanisms of inflammation and fibrosis, which cause potentially vision threatening sequelae. The present review will highlight the recent developments in our understanding of this uncommon entity.