bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rancang Bangun Plugin WordPress Penghitung Kepadatan Kata Kunci
Authors: Kusnadi Adhi , Prawisuda Tirta 
Published: September 2018

In optimizing a website, web owners are required to write articles that relate to the keywords and put into the website. Therefore is needed a keyword density plugin app to calculate keywords and suggest an article content writer to add or subtract keywords in the article. The keyword density counter is an app that counts keywords in an article. The results obtained from this application is the ratio of keywords to existing words of the pages of websites or articles. The benefits of using keyword density counters are content writers becoming aware that articles already have enough density, according Google's recommendation keywords density is 2-3% of article, then the article will give a signal to search engines. Results obtained is the same for validation plugin calculations after. Compared to other similar plugins. Keyword density counters have been created with 50.85% faster than other similar plugins.
Index Terms—keyword, density, counter, article, plugin.
Klasifikasi Diabetes Menggunakan Model Pembelajaran Ensemble Blending
Authors: Putri Vinnia Kemala , Kurniadi Felix Indra 
Published: September 2018

Diabetes mellitus is one of the deadliest disease and it is increasing in occurrence through the world. This can be prevented by conducting early diagnosis and treatment. However, in developing countries, less than half of people with diabetes are diagnosed correctly which lead to lose of human lives. In this Big Data era, medical databases have enormous quantities of data about their patients. But this medical data may contain noise and a lot of useless information which may mislead the expert in making a decision for medical diagnosis. Data mining is a technique to that is very effective for medical applications for identifying patterns and extracting useful information for databases. This paper proposed a data mining approach using an ensemble blending method to tackle a diabetes prediction problem in Pima Indian Diabetes Dataset. We proposed a blending ensemble classifier approach using a combination of Decision Tree and Logistic Regression as base classifiers, and Support Vector Machine as a top blender classifier. Our approach reached accuracy of 81% and F1-score of 0.81 proves to be higher when compared with basic classifier without combination.
Index Terms—diabetes, ensemble, data mining
Pencarian Question-Answer Menggunakan Convolutional Neural Network Pada Topik Agama Berbahasa Indonesia
Authors: Bintana Rizqa Raaiqa , Fatichah Chastine , Purwitasari Diana 
Published: September 2018

Community-based question answering (CQA) is formed to help people who search information that they need through a community. One condition that may occurs in CQA is when people cannot obtain the information that they need, thus they will post a new question. This condition can cause CQA archive increased because of duplicated questions. Therefore, it becomes important problems to find semantically similar questions from CQA archive towards a new question. In this study, we use convolutional neural network methods for semantic modeling of sentence to obtain words that they represent the content of documents and new question. The result for the process of finding the same question semantically to a new question (query) from the question-answer documents archive using the convolutional neural network method, obtained the mean average precision value is 0,422. Whereas by using vector space model, as a comparison, obtained mean average precision value is 0,282.
Index Terms—community-based question answering, convolutional neural network, question retrieval
Aplikasi Kuartu Berbasis Android Sebagai Media Pertukaran Informasi Kartu Nama
Authors: Syukri Nandi , Setiawan Eko Budi 
Published: September 2018

Business Card is the most efficient, effective and appropriate tool for every business men no matter they are owners, employees, more over marketers to provide information about their businesses. Unfortunately, it is very difficult to bring and manage business card in large numbers also to remember the face of the business card owner. A Business Card application need to be built to solve all those issues mentioned above. The Application or software must be run in media which can be accessed anywhere and anytime such as smart phone. Kuartu is as business card application run in mobile devices. Kuartu is developed using object base modeling for mobile sub system. The platform of the mobile sub system is android, as it is the most widely used platform in the world. The Kuartu application utilizing NFC and QR Code technology to support the business card information exchange and the Chatting feature for communication. Based on the experiment and test using black box methodology, it can be concluded that Kuartu application makes business card owner to communicate each other easily, business card always carried, easy to manage the cards and information of the business card owner can be easily obtained.
Index Terms— Business Card, Android, Kuartu, NFC, QrCode, Chatting.
Rancang Bangun Sistem Rekomendasi Televisi LED Dengan Metode Vikor Berbasis Web
Authors: Simamora Boyma 
Published: September 2018

Beragam macam pilihan televisi LED membuat pembeli mengalami kebingungan saat menentukan tipe televisi LED yang akan dibeli. Beberapa merk televisi terkenal menawarkan macam-macam tipe televisi LED dengan keunggulannya masing-masing. Perbedaan dapat dilihat dari segi harga, ukuran layar, resolusi layar, berat dan fasilitas pendukung lain yang diberikan. Sehingga dibuatlah sistem rekomendasi pembelian televisi LED untuk memberikan masukan dan bantuan kepada calon pembeli sebagai bahan pertimbangan sesuai dengan keinginannya. Penggunaan metode VIKOR diterapkan karena termasuk jenis dari Multi Criteria Decision Making untuk mengambil keputusan bersifat diskrit berdasarkan beberapa kriteria dan membantu pengambil keputusan sebagai hasil terbaik dari rekomendasi sistem. Kriteria yang digunakan yaitu rentang harga, merk, resolusi layar, ukuran layar, berat dan fasilitas sebagai deskripsi televisi. Pembuatan sistem dibangun dengan menggunakan bahasa pemrograman PHP dan database MySQL. Uji Kepuasan Pengguna Sistem dilakukan dengan melakukan survei kepada 30 responden dengan menggunakan metode Likert dan Cronbach Alpha. Hasil yang diperoleh sebesar 0,72 dan dapat disimpulkan dalam kategori cukup baik.
Index Terms-Televisi LED, Sistem Rekomendasi, VIKOR, Skala Likert, Cronbach Alpha.
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Authors: Bray Freddie , Ferlay Jacques , Soerjomataram Isabelle , Siegel Rebecca L. , Torre Lindsey A. , Jemal Ahmedin 
Published: September 2018

AbstractThis article provides a status report on the global burden of cancer worldwide using the GLOBOCAN 2018 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer, with a focus on geographic variability across 20 world regions. There will be an estimated 18.1 million new cancer cases (17.0 million excluding nonmelanoma skin cancer) and 9.6 million cancer deaths (9.5 million excluding nonmelanoma skin cancer) in 2018. In both sexes combined, lung cancer is the most commonly diagnosed cancer (11.6% of the total cases) and the leading cause of cancer death (18.4% of the total cancer deaths), closely followed by female breast cancer (11.6%), prostate cancer (7.1%), and colorectal cancer (6.1%) for incidence and colorectal cancer (9.2%), stomach cancer (8.2%), and liver cancer (8.2%) for mortality. Lung cancer is the most frequent cancer and the leading cause of cancer death among males, followed by prostate and colorectal cancer (for incidence) and liver and stomach cancer (for mortality). Among females, breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death, followed by colorectal and lung cancer (for incidence), and vice versa (for mortality); cervical cancer ranks fourth for both incidence and mortality. The most frequently diagnosed cancer and the leading cause of cancer death, however, substantially vary across countries and within each country depending on the degree of economic development and associated social and life style factors. It is noteworthy that high‐quality cancer registry data, the basis for planning and implementing evidence‐based cancer control programs, are not available in most low‐ and middle‐income countries. The Global Initiative for Cancer Registry Development is an international partnership that supports better estimation, as well as the collection and use of local data, to prioritize and evaluate national cancer control efforts. CA: A Cancer Journal for Clinicians 2018;0:1‐31. © 2018 American Cancer Society
Red versus Blue: Early Observations of Thermonuclear Supernovae Reveal Two Distinct Populations?
Authors: Stritzinger Maximilian D. , Shappee Benjamin J. , Piro Anthony L. , Ashall Christopher , Baron E. , Hoeflich Peter , Holmbo Simon , Holoien Thomas W.-S. , Phillips M. M. , Burns C. R. , Contreras Carlos , Morrell Nidia , Tucker Michael A. 
Published: September 2018

Abstract
We examine the early phase intrinsic (B − V)0 color evolution of a dozen SNe Ia discovered within three days of the inferred time of first light (t
first) and have (B − V)0 color information beginning within five days of t
first. The sample indicates there are two distinct early populations. The first is a population exhibiting blue colors that slowly evolve, and the second population exhibits red colors and evolves more rapidly. We find that the early blue events are all 1991T/1999aa-like with more luminous, slower declining light curves than those exhibiting early red colors. Placing the first sample on the Branch diagram (i.e., ratio of Si ii
λλ5972, 6355 pseudo-Equivalent widths) indicates that all blue objects are of the Branch shallow silicon (SS) spectral type, while all early red events except for the 2000cx-like SN 2012fr are of the Branch Core Normal (CN) or CooL (CL) type. A number of potential processes contributing to the early emission are explored, and we find that, in general, the viewing-angle dependance inherent in the companion collision model is inconsistent with all of the SS objects with early-time observations being blue and exhibiting an excess. We caution that great care must be taken when interpreting early phase light curves as there may be a variety of physical processes that are possibly at play and significant theoretical work remains to be done.
Evidence for a Pulsar Wind Nebula in the Type Ib Peculiar Supernova SN 2012au
Authors: Milisavljevic Dan , Patnaude Daniel J. , Chevalier Roger A. , Raymond John C. , Fesen Robert A. , Margutti Raffaella , Conner Brody , Banovetz John 
Published: September 2018

Abstract
We present an optical spectrum of the energetic Type Ib supernova (SN) 2012au obtained at an unprecedented epoch of 6.2 yr after explosion. Forbidden transition emission lines of oxygen and sulfur are detected with expansion velocities of ≈2300 km s−1. The lack of narrow H Balmer lines suggests that interaction with circumstellar material is not a dominant source of the observed late-time emission. We also present a deep Chandra observation that reveals no X-ray emission down to a luminosity of L

X
< 2 × 1038 erg s−1 (0.5–10 keV). Our findings are consistent with the notion that SN 2012au is associated with a diverse subset of SNe, including long-duration gamma-ray burst SNe and superluminous SNe, harboring pulsar/magnetar wind nebulae that influence core-collapse explosion dynamics on a wide range of energy scales. We hypothesize that these systems may all evolve into a similar late-time phase dominated by forbidden oxygen transitions, and predict that emission line widths should remain constant or broaden a few percent per year due to the acceleration of ejecta by the pulsar/magnetar bubble.
Larger Mutual Inclinations for the Shortest-period Planets
Authors: Dai Fei , Masuda Kento , Winn Joshua N. 
Published: September 2018

Abstract
The Kepler mission revealed a population of compact multiple-planet systems with orbital periods shorter than a year, and occasionally even shorter than a day. By analyzing a sample of 102 Kepler and K2 multiple-planet systems, we measure the minimum difference ΔI between the orbital inclinations, as a function of the orbital distance of the innermost planet. This is accomplished by fitting all the planetary signals simultaneously, constrained by an external estimate of the stellar mean density. We find ΔI to be larger when the inner orbit is smaller, a trend that does not appear to be a selection effect. We find that planets with a/R
⋆ < 5 have a dispersion in ΔI of 6.°7 ± 0.°6, while planets with 5 < a/R
⋆ < 12 have a dispersion of 2.°0 ± 0.°1. The planetary pairs with higher mutual inclinations also tend to have larger period ratios. These trends suggest that the shortest-period planets have experienced both inclination excitation and orbital shrinkage.
The Reversal of a Solar Prominence Rotation about Its Ascending Direction during a Failed Eruption
Authors: Song H. Q. , Zhou Z. J. , Li L. P. , Cheng X. , Zhang J. , Chen Y. , Chen C. X. , Ma X. W. , Wang B. , Zheng R. S. 
Published: September 2018

Abstract
The magnetic orientation of solar coronal mass ejections (CMEs) near the Earth’s magnetosphere is one major parameter that influences the geoeffectiveness of CMEs. The orientation often varies during the eruption and propagation from the Sun to the Earth due to the deflection and/or rotation of CMEs. It is common to observe the counterclockwise (CCW) or clockwise (CW) rotation (viewed from above) of solar prominences in the corona, which can be used to predict the space weather effect of associated CMEs. In this Letter, we report an intriguing failed prominence eruption that occurred on 2010 December 10, exhibiting the CCW and CW rotations sequentially in the corona. The eruption is recorded by both the Atmospheric Imaging Assembly on board the Solar Dynamics Observatory and the Extreme Ultraviolet Imager on board the Solar Terrestrial Relations Observatory. This stereoscopic combination allows us to reconstruct the three-dimensional structure and identify the rotation reversal without ambiguity. The prominence first rotates CCW about its ascending direction by ∼135° in ∼26 minutes and then reverses to the CW rotation by ∼45° in ∼15 minutes; i.e., the average CCW and CW rotation speeds are ∼5.2 and ∼3.0 deg minute−1, respectively. The possible mechanisms leading to the rotation and reversal are discussed. The kinematics of the prominence is also analyzed, which indicates that an upward force acts on the prominence during the entire process.
Non Catether Induced Renal and Inferior Vena Cava Trombosis in a Neonate: A Case Report
Authors: Aluloska Natasha , Janchevska Snezana , Tasic Velibor 
Published: September 2018

BACKGROUND: Neonatal renal vein thrombosis is the most common vascular condition in the newborn kidney, which could lead to serious complication in infants.CASE REPORT: We report a case of the unilateral renal vein and inferior vena cava thrombosis, presented with gross hematuria and thrombocytopenia in a neonate. The neonate was a macrosomic male born to a mother with hyperglycemia in pregnancy. The baby was born with perinatal asphyxia and early neonatal infection and massive hematuria. Clinical and laboratory examination showed enlarged kidney having corticomedullary differentiation diminished and azotemia. Diagnosis of renal vein thrombosis was suspected by renal ultrasound and confirmed by magnetic urography. Prothrombotic risk factors were evaluated. The child is being managed conservatively. Measures aimed at the prevention of end-stage renal disease because of its poor outcome were highlighted. Despite anticoagulant therapy, the right kidney developed areas of scarring and then atrophy. CONCLUSION: In this work, we present a patient with multiple entities in the aetiology of non-catheter induced renal and vena cava thrombosis in a neonate. Clinicians should suspect renal vein thrombosis in neonates when presented with early postnatal gross hematuria, palpable abdominal mass and thrombopenia.
Patient and Professional Perspectives on Nutrition in Chronic Respiratory Disease Self-Management: Reflections on Nutrition and Food Literacies
Authors: Hakami Roya , Gillis Doris E. , Poureslami Iraj , FitzGerald J. Mark 
Published: September 2018

Background:
Nutrition literacy (NL) and food literacy (FL) have emerged as distinct forms of the multifaceted concept of health literacy (HL). Despite convincing evidence that changes in dietary behavior can improve health, the role of nutrition in supporting self-management in patients with chronic respiratory disease tends to be overlooked.

Objective:
This study examined patient and key informant (health care professionals, researchers, and policymakers) perspectives on nutrition in the context of self-management practices in asthma and chronic obstructive pulmonary disease with implications for NL and FL.

Methods:
Data were collected during 16 focus groups with 93 English- and French-speaking patients in the Canadian Provinces of British Columbia, Ontario, and Quebec, and in-depth interviews with 45 key informants mainly from Canada. Participants' comments, including dietary perception keywords, were extracted and classified using NVivo software. Thematic analysis was applied.

Key Results:
Patients' perspectives on nutrition reflected three broad themes: (1) importance of nutrition knowledge in self-management, (2) applying nutrition knowledge in self-management, and (3) challenges in applying nutrition knowledge in self-management. Embedded within the third theme were six sub-themes: Limitations in “accessing nutrition information,” “understanding nutrition information,” “basic literacy skills,” and “ability to act on nutrition information,” along with “lack of supports to act on nutrition information,” and “competing daily demands in mealtime and medication management.” Although less than 10% of key informants provided nutrition-relevant comments, their comments reinforced patients' concerns about barriers to accessing, understanding, and using nutrition information in self-management.

Conclusions:

Our findings suggest that more attention be directed to nutrition in the self-management of chronic respiratory disease and warrant further research on the roles of NL and FL in this health practice context. Such research could also contribute to the broader agenda of understanding NL and FL and applying them as subconcepts of HL in chronic disease self-management interventions.
[

HLRP: Health Literacy Research and Practice
. 2018;2(3):e166–e174.]

Plain Language Summary:
Growing evidence supporting the role of diet in chronic disease calls for more attention to nutrition literacy. This study explored patient and key informant viewpoints on engaging with nutrition information in self-management of chronic lung disease. Findings suggest patients encounter many challenges in accessing, understanding, and acting on relevant nutrition information.
Construção de territórios geríveis : (in)definição do lugar do crime contra pessoas na internet
Authors: Rabelo Mariana Cintra 
Published: September 2018

Este artigo analisa a centralidade que a definição de territórios assume em conflitos de competência judicial em casos de crimes contra pessoas perpetrados através da internet. A discussão recai sobre um contexto produtivo de enquadramentos de imaginação e autoridade jurídica. Como podem ser territorializadas ações ilícitas perpetradas pela internet ? Como, nesses casos, se atualiza a aplicação do direito penal ? Com base no estudo de acórdãos, é possível apreender processos de negociação e transformação das sensibilidades de espaço-tempo acerca da experiência da e na internet. Procuro mostrar que a construção da internet como território juridicamente gerível e, neste contexto, de feições transnacionais ou com potencialidade internacional é um empreendimento de gestão recente, datado principalmente dos anos 2000, e não absoluto.
Descobrindo conexões ao longo do rio no Baixo Amazonas, Brasil
Authors: Harris Mark 
Published: September 2018

Este artigo trata da aprendizagem de habilidades entre pessoas que vivem ao longo dos rios da Amazônia no estado do Pará, Brasil. Aborda as relações regionais de aprendizagem e seus contextos de forma histórica e concentra-se nas atividades de pesca e cura xamânica. A questão que anima este artigo é esta : dadas as rupturas da história da Amazônia, como as habilidades foram transmitidas de uma geração para outra ? Minha resposta explora o papel do rio nas habilidades de aprendizagem e na formação de vidas e na maneira como alguns amazônicos do século XVIII improvisaram o conhecimento e os recursos materiais da época e como alguns de seus descendentes construíram esse legado cerca de 250 anos depois. Compreender esses caminhos de aprendizagem é saber como relações de diferentes escalas são construídas através de laços pessoais, acesso a recursos e tecnologia. O rio fornece a estrutura para essas escalas.
The Validation of the VereBeef™ Detection Kit
Authors: Liu Dawn Qian , Sato Mitsuharu , Tan Wei Ling , Khoo Grace Pei Wen , Fisher Kiel , Meibers Hannah , Wei Foo Damian Guang , Sen Phang Helen Choon , Bird Patrick , Joseph Benzinger M , Crowley Erin , Agin James , Goins David , Tiong Chiew Paul King , Pin Tan Rosemary Sok , Salfinger Yvonne , Brodsky Michael , Odumeru Joseph 
Published: September 2018

Abstract
VereBeef™ Detection Kit, incorporating both multiplex PCR and microarray technologies on a lab-on-chip platform, is intended for qualitative detection and differentiation of Escherichia coli O157:H7, E. coli O26, E. coli O45, E. coli O103, E. coli O111, E. coli O121, E. coli O145, Shiga toxin-producing E. coli (STEC) virulence factors (stx1A, stx2A, eae), and Salmonella species in one test using raw beef trim samples. This product underwent extensive evaluations, including inclusivity-exclusivity, method comparison, robustness, lot-to-lot variability, and stability studies. The inclusivity/exclusivity study demonstrated that VereBeef Detection Kit specifically detects and identifies target analytes without occurrence of false-positive and false-negative detection. In the method comparison study, the performance of the VereBeef Detection Kit was compared with U.S. Department of Agriculture Food Safety and Inspection Service Microbiology Laboratory Guidebook’s methods for target organism detection in raw beef trim using E. coli O157:H7 single inoculation and Salmonella and non-O157 STEC dual inoculation. Data demonstrated equivalence in both methods. The robustness study showed that changesin the test parameters do not impact assay performance. Collectively, VereBeef Detection Kit is able to detect target pathogens in raw beef trim with a minimum enrichment time of 8 h for E. coli O157:H7 detection and 10 h for Salmonella and non-O157 STEC detection.