bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Multi Layered Percepton and Radial Basis Function Classification Performance of Lung Cancer Data
Authors: Jusman Yessi , Indra Zul , Salambue Roni , Kanafiah Siti Nurul Aqmariah Mohd , Nurkholid Muhammad Ahdan Fawwaz 
Published: March 2020

Abstract
Lung cancer was the most commonly diagnosed cancer as well as the leading cause of cancer death in males in 2008 globally. The way used to detect lung cancer are through examination chest X-ray, Computed Tomography (CT) scan, and Magnetic Resonance Imaging results. The accurate and efisien analysis of the imaging results are important to ensure the minimal time processing. A computed assisted diagnosis system is the crusial research which can conduct the analysis efficiently and efectively. This paper aimed to compare the classification performances of Multi Layered Perceptron (MLP) and Radial Basis Function (RBF) techniques. The public lung cancer datasets was used as training and testing data in the classfication techniques. Ten fold cross validation was used for dividing data before classifying techniques. The accuracy performances are compared to check a better technique for classification step.
Model of Geometry Realistic Learning Development with Interactive Multimedia Assistance in Elementary School
Authors: Alim Jesi Alexander , Fauzan Ahmad , Arwana I Made , Musdi Edwin 
Published: March 2020

Abstract
Initial research results indicate there are problems in learning mathematics, especially in geometry material in elementary schools. Students still have not had the opportunity to build their own knowledge. The purpose of this study is to produce a realistic learning model of interactive multimedia-assisted geometry to improve the reasoning ability of fourth grade elementary school students who meet valid, practical and effective criteria. This research is a design research that combines the Plomp and Gravemeijer & Cobb development model which consists of three phases: preliminary research (experimental preparation), prototyping phase (conducting experiments, retrospective analysis) and assessment phase. The subjects of the study were students of grade four SD thirty seven Pekanbaru. The results of the study indicate that the learning design developed has fulfilled valid, practical and effective. Valid in terms of content and construction. Practical in terms of implementation, convenience and time required. Effective in terms of potential impact on reasoning ability.
The Level of Mathematical Logic Intelligence towards the Solving of Mathematical Problem Solving
Authors: Rahmat Tasnim 
Published: March 2020

Abstract
The purpose of this study is to find the relationship between the levels of intelligence of mathematical logic with the ability to solve problems in terms of the various strategies used at the stage of planning problem solving. This problem is useful for students who solve non-routine problems. The method in this research uses a case study. The results of this study indicate that the average mathematical intelligence of Grade VII students of MTsN 6 Agam is at a complex level. The ability to solve problems in algebra and geometry material in the sample class is at the basic level with an average of 50.6, at the complex level with an average of 62.66 and at a coherent level with an average of 74.75. There is a significant influence between the level of intelligence of mathematical logic with the ability of students to solve problems in Algebra and Geometry material in mathematics in class VII.1 MTsN 6 Agam at 38.2% and for the remaining 61.8% influenced by other factors such as teachers’ competence, learning style, learning environment and lack of students in practicing in answering problem solving questions.
The preparation and characterization of a hydrophobic surface on an aluminum substrate
Authors: Nugroho A. W. , Setiyantoro A. E. , Sosiati H. , Himarosa R. A. 
Published: March 2020

Abstract
The development of a hydrophobic surface on an aluminum substrate as a self-cleaning surface has been carried out. In this research, a hydrophobic aluminum surface was fabricated using a combination of boiling and STA modification technique which is environmentally friendly. The specimens in circular shape with a diameter of 14 mm were cut from a 1 mm thick aluminum sheet and were then cleaned using ultrasonic cleaner. Afterward, the specimens were boiled for 10 minutes in water. Following this, the specimens were immersed in STA-ethanol-deionized water solution at a temperature of 60° C for 5, 10, 15 and 20 hours. Surface morphology, roughness, and hardness of the hydrophobic aluminum surface were examined. The surface morphology analysis presents the existence of rough microstructure on the coated aluminum surface. While the roughness value increase with the increase of immersion times, the surface hardness value does not appear to change significantly for immersion time up to 15 hours and slightly decrease for the longer immersion time. The water contact angle of 133° and rolling angle of 13° was achieved which indicates the ultra-hydrophobicity of the aluminum surface has been obtained.
Features Extraction to Differentiate of Spinal Curvature Types using Hue Moment Algorithm
Authors: Salleh Muhammad Ainzulhafiz Mat , Kanafiah Siti Nurul Aqmariah Mohd , Jusman Yessi , yusof Mohd Imran 
Published: March 2020

Abstract
Nowadays, diagnosing the spinal problems is very important to medical field. The objective of this research is to develop feature extraction technique to obtain the features, which automatically differentiate images of normal and abnormal (scoliosis) spinal curvatures. The process to extract features of spinal image start with image acquisition, image processing (i.e. enhancement, filtering, and segmentation). For image processing method, the most important part in this phase is the segmentation using manual threshold method. After the segmentation, hue moment for size and parameter are used to extract features that should be considered based on probabilistic to classify the spine images. The final experimental result shows that the developed features extraction technique can differentiate between normal and scoliosis spine images.
Application of ELECTRE Algorithm in Skincare Product Selection
Authors: Nasution Nurliana , Febriadi Bayu , Mahalisa Galih , Hijriana Nadiya , Rasyidan Muhammad , Sinaga Dewinta Marthadinata , Dewi Sinta Maulina , Windarto Agus Perdana , Aswan Novita , Raharjo Mokhamad Ramdhani 
Published: March 2020

Abstract
Skincare is currently growing very fast. The community, especially women, both teenagers and parents, now believes more in Skincare services and products that change consumers’ faces to be cleaner, and shine for their appearance. However, until now there are still obstacles that are often faced by consumers in choosing Skincare that is in accordance with the needs of their skin type. This study aims to recommend the selection of Skincare products based on consumers using the ELECTRE method. The data collection method was carried out by means of interviews and questionnaires on 250 samples of consumers who use Skincare products in the city of Pematangsiantar. Based on these results the criteria for evaluating prices (X1), ingredient content (X2), side effects (X3), availability of goods (X4), and packaging (X5). The alternatives used are 4 namely: A1 = Gamier, A2 = Nature Republic, A3 = Pond’s, A4 = Wardah. The results of the research using the ELECTRE method show that Skincare Garnier (A1) products are recommended to be the best Skincare based on consumers. It is expected that research results can provide understanding to consumers in choosing Skincare products.
Optimization of Data Encryption Modeling Using RSA Cryptography Algorithm As Security E-Mail Data
Authors: Sari Indah Clara , Zarlis Muhammad , Tulus T 
Published: March 2020

Abstract
Along with advances in information technology, data security is a very important thing. RSA is an asymmetric cryptographic algorithm that uses a pair of keys, namely public key and private key. This research applies the RSA algorithm to solve the optimization problem in the encryption process by increasing the presentation of the encryption process more quickly and effectively with the aim of safely sent emails.
Construction of hierarchical square biscuit-shape BiOBr photocatalyst with enhanced visible-light-response photocatalytic activities
Authors: Hou Linrui , Niu Yawei , Ge Fengyue , Yuan Changzhou 
Published: March 2020

Abstract
Herein, we first explore an efficient solvothermal method to fabricate hierarchical square biscuit-like BiOBr architecture (SBBA), and further utilize it as a visible-light-responsive photocatalyst. The photocatalytic performance of the resultant SBBA is comprehensively evaluated by photocatalytic degradation of methyl orange solution as a model wastewater under the visible light irradiation. The SBBA photocatalyst with a band gap of ∼2.56 eV exhibits remarkable photocatalytic activities in terms of degradation efficiency and reproducibility. More importantly, a plausible electron transfer and involved degradation mechanism are put forward. The excellent photocatalytic activities consolidate it as a promising photocatalyst in practical wastewater treatment.
Computing GIT-fans with symmetry and the Mori chamber decomposition of \overline{𝑀}_{0,6}
Authors: Böhm Janko , Keicher Simon , Ren Yue 
Published: March 2020

We propose an algorithm to compute the GIT-fan for torus actions on affine varieties with symmetries. The algorithm combines computational techniques from commutative algebra, convex geometry, and group theory. We have implemented our algorithm in the Singular library gitfan.lib. Using our implementation, we compute the Mori chamber decomposition of

Mov
⁡
(

M
¯

0
,
6

)

\operatorname {Mov}(\overline {M}_{0,6})

.
Religious Service Attendance, Educational Attainment, and Hypertension at Baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)
Authors: Varella Ana C , Benseñor Isabela M , Fonseca Maria J M , Griep Rosane H , Pereira Alexandre C , Lotufo Paulo A 
Published: March 2020

Abstract

Background
Some religious dimensions have been associated with different health-related outcomes over many years. Attending religious services is one of these dimensions that were associated with hypertension, with inconsistent results. And religious involvement seems to be closely influenced by sociodemographic factors, such as education. Therefore, this study aimed to investigate the association between religious service attendance and hypertension according to levels of education.

Methods
We analyzed baseline data of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Frequency of religious service attendance and presence of hypertension were assessed in all 15,105 participants at baseline. The analyses were stratified by two levels of education (less than high school and high school or more). Logistic regression models were used to obtain the association between religious service attendance and hypertension in both groups.

Results
For those with high school or more, attending religious services was positively associated with hypertension (adjusted odds ratio [OR] = 1.14, 95% confidence interval [CI] 1.02–1.28). In contrast, for those with less than high school, attending services was inversely associated with presence of hypertension (adjusted OR = 0.73, 95% CI 0.55–0.96).

Conclusions
There seems to be a paradox in the association of religious service attendance and hypertension depending on the level of education.
projectR: an R/Bioconductor package for transfer learning via PCA, NMF, correlation and clustering
Authors: Sharma Gaurav , Colantuoni Carlo , Goff Loyal A , Fertig Elana J , Stein-O’Brien Genevieve 
Published: March 2020

Abstract

Motivation
Dimension reduction techniques are widely used to interpret high-dimensional biological data. Features learned from these methods are used to discover both technical artifacts and novel biological phenomena. Such feature discovery is critically importent in analysis of large single-cell datasets, where lack of a ground truth limits validation and interpretation. Transfer learning (TL) can be used to relate the features learned from one source dataset to a new target dataset to perform biologically driven validation by evaluating their use in or association with additional sample annotations in that independent target dataset.

Results
We developed an R/Bioconductor package, projectR, to perform TL for analyses of genomics data via TL of clustering, correlation and factorization methods. We then demonstrate the utility TL for integrated data analysis with an example for spatial single-cell analysis.

Availability and implementation
projectR is available on Bioconductor and at https://github.com/genesofeve/projectR.

Contact
gsteinobrien@jhmi.edu or ejfertig@jhmi.edu

Supplementary information
Supplementary data are available at Bioinformatics online.
Functional effects of Tribbles homolog 2 in bovine ovarian granulosa cells†
Authors: Warma Aly , Ndiaye Kalidou 
Published: March 2020

Abstract
Tribbles homologs (TRIB) 1, 2, and 3 represent atypical members of the serine/threonine kinase superfamily. We previously identified TRIB2 as a differentially expressed gene in granulosa cells (GCs) of bovine preovulatory follicles. The current study aimed to further investigate TRIB2 regulation and study its function in the ovary. GCs were collected from follicles at different developmental stages: small antral follicles (SF), dominant follicles (DF) at day 5 of the estrous cycle, and hCG-induced ovulatory follicles (OFs). RT-qPCR analyses showed greater expression of TRIB2 in GC of DF as compared to OF and a significant downregulation of TRIB2 steady-state mRNA amounts by hCG/LH, starting at 6 h through 24 h post-hCG as compared to 0 h. Specific anti-TRIB2 polyclonal antibodies were generated and western blot analysis confirmed TRIB2 downregulation by hCG at the protein level. In vitro studies showed that FSH stimulates TRIB2 expression in GC. Inhibition of TRIB2 using CRISPR/Cas9 resulted in a significant increase in PCNA expression and an increase in steroidogenic enzyme CYP19A1 expression, while TRIB2 overexpression tended to decrease GC proliferation. TRIB2 inhibition also resulted in a decrease in transcription factors connective tissue growth factor (CTGF) and ankyrin repeat domain-containing protein 1 (ANKRD1) expression, while TRIB2 overexpression increased CTGF and ANKRD1. Additionally, western blot analyses showed reduction in ERK1/2 (MAPK3/1) and p38MAPK (MAPK14) phosphorylation levels following TRIB2 inhibition, while TRIB2 overexpression increased p-ERK1/2 and p-p38MAPK. These results provide evidence that TRIB2 modulates MAPK signaling in GC and that TRIB2 could act as a regulator of GC proliferation and function, which could affect steroidogenesis during follicular development.
Perceptions on community media for effective acculturation in Nigerian indigenous languages
Authors: Onwukwe Chimaobi 
Published: March 2020

AbstractThis study examined perceptions on the effectiveness, attendant challenges and remedies of community media for effective acculturation in Nigerian languages. The qualitative survey design was adopted with focus group discussions and key informant interviews of 50 purposively chosen informants. It was perceived that community media could serve as veritable platform for effective acculturation in Nigerian languages since they would engender the setting of acculturation in Nigerian languages as national objective or goal. It was further held that the strengths of community media for acculturation were in being goal-defined, ensuring local content and diversification. The study identified that as palatable as the proposal for community media for effective acculturation in Nigerian languages is, it would be fraught with some set-backs or challenges that were very much surmountable. Perceptions pointed towards transient nature of community media and funding as challenges as well as multibased funding as one remedy. Immediate establishment of community media for the purpose of acculturation in Nigerian languages was recommended.
General Principles of Law: The First Debate within the International Law Commission and the Sixth Committee
Authors: Vázquez-Bermúdez Marcelo , Crosato Alfredo 
Published: March 2020

Abstract
Continuing its work on the sources of international law, the International Law Commission decided, at its seventieth session, to include the topic “General principles of law” in its current programme of work. By taking up the topic, the Commission aims to shed light on various aspects of this source and provide guidance to States, international organizations, courts and tribunals and all others that may be called upon to deal with general principles of law. The present article provides an overview of the first debate on the topic that took place within the International Law Commission and the Sixth (Legal) Committee of the UN General Assembly in 2019, focusing on certain key issues that will be central to the treatment of the topic.
Living in a fragmented world: Birds in the Atlantic Forest
Authors: Pizo Marco A , Tonetti Vinicius R 
Published: March 2020

AbstractThe Atlantic Forest is the second largest tropical moist forest domain in South America after the Amazon, home to over 800 bird species (223 endemics or 27% of the avifauna). With only 28% of the original vegetation left, mostly fragmented and altered, the Atlantic Forest is a hotspot for bird conservation. We first introduce the extent, vegetation types, and exploitation history of the domain, and the composition and biogeographic affinities of its birds. We then provide an overview of the knowledge gathered so far on the ways Atlantic Forest birds thrive in the often-fragmented landscape, highlighting the landscape features that influence their occurrence and movement behavior. We end with the conservation issues affecting the Atlantic Forest birds and the actions hitherto taken to address them, including the establishment of conservation units, forest restoration, and rewilding.
Adult congenital diaphragmatic hernia with absent pericardium and liver heterotopia
Authors: Wang Xinyu , Chen Hezhong , Yang Lixin , Lu Chaojing 
Published: March 2020

Abstract
Adult congenital diaphragmatic hernia (CDH) with an absent pericardium and liver heterotopia is extremely rare, and had only been described in 1 patient. Here, we present another case of left-sided central CDH in a 40-year-old Chinese woman.
Use of amenable mortality indicators to evaluate the impact of financial crisis on health system performance in Greece
Authors: Zilidis Christos , Stuckler David , McKee Martin 
Published: March 2020

Abstract

Background
Greece experienced the largest reduction in its health care budget of any European country during the economic crisis of 2008–15. Here, we test the hypothesis that budget reductions worsened health system performance in Greece, using the concept of Amenable Mortality to capture deaths which should not occur in the presence of effective and timely health care.

Methods
Amenable mortality was calculated from national mortality statistics, using age-standardized deaths from 34 conditions amenable to medical intervention in Greece during 2000–16, with further analysis by sex, age, region and cause. Mortality rate ratios and their 95% CI were also computed. Interrupted time series analyses were performed to compare trends prior to austerity measures (2001–10) with those after (2011–16), adjusting for historical trends.

Results
Prior to austerity measures, amenable mortality rates were declining. After 2011, coinciding with the inception of budget reductions, the slope of decline diminished significantly. The average annual percent of change in standardized death rates was 2.65% in 2001–10, falling to 1.60% in 2011–6. In 10 of 34 conditions, the SDR increased significantly after the crisis onset, and in five more conditions the long-term decline reversed, to increasing after 2011. The age-specific mortality rates observed in 2011–16 were significantly higher than those expected at ages 0–4 and 65–74 but not significantly higher in all other age groups.

Conclusions
Health system performance in Greece worsened in association with austerity measures, leading to a deceleration of the decline in amenable mortality and increased mortality from several conditions amenable to medical interventions.
Methanobactin from methanotrophs: genetics, structure, function and potential applications
Authors: Semrau Jeremy D , DiSpirito Alan A , Obulisamy Parthiba Karthikeyan , Kang-Yun Christina S 
Published: March 2020

ABSTRACTAerobic methane-oxidizing bacteria of the Alphaproteobacteria have been found to express a novel ribosomally synthesized post-translationally modified polypeptide (RiPP) termed methanobactin (MB). The primary function of MB in these microbes appears to be for copper uptake, but MB has been shown to have multiple capabilities, including oxidase, superoxide dismutase and hydrogen peroxide reductase activities, the ability to detoxify mercury species, as well as acting as an antimicrobial agent. Herein, we describe the diversity of known MBs as well as the genetics underlying MB biosynthesis. We further propose based on bioinformatics analyses that some methanotrophs may produce novel forms of MB that have yet to be characterized. We also discuss recent findings documenting that MBs play an important role in controlling copper availability to the broader microbial community, and as a result can strongly affect the activity of microbes that require copper for important enzymatic transformations, e.g. conversion of nitrous oxide to dinitrogen. Finally, we describe procedures for the detection/purification of MB, as well as potential medical and industrial applications of this intriguing RiPP.
Why Have Sleep Problems in Later-Midlife Grown Following the Great Recession? A Comparative Cohort Analysis
Authors: Bierman Alex 
Published: March 2020

Abstract

Objectives
This research compares three cohorts of individuals in their fifth decade of life and examines whether sleep problems are greater in cohorts following the Great Recession. We argue that these differences will occur because postrecession cohorts are exposed to more economic burdens that harm sleep. We also suggest that postrecession exposure to economic burdens will be amplified among women, leading to greater cross-cohort differences in sleep problems.

Method
Data were derived from the Health and Retirement Study, focusing on cohort surveys starting in 2004, 2010, and 2016 (N = 12,129). Structural equation models compared cohorts in latent levels of sleep problems and also examined whether economic burdens mediated cohort differences. Interactions tested whether cohort differences varied between men and women.

Results
The 2010 and 2016 cohorts had higher mean levels of sleep problems than the 2004 cohort. Greater postrecession exposure to economic burdens largely explained inter-cohort change in sleep problems, with this pattern stronger among women.

Discussion
Americans are approaching their senior years increasingly burdened by economic stressors that incur sleep problems. Practitioners and aging researchers should be prepared to address deleterious health consequences created by heightened sleep impairments.