bluuebunny/crossref_metadata_2025_split huggingface dataset:
Subsequent Neoplasms After a Primary Tumor in Individuals With Neurofibromatosis Type 1
Authors: Bhatia Smita , Chen Yanjun , Wong F. Lennie , Hageman Lindsey , Smith Kandice , Korf Bruce , Cannon Ashley , Leidy Daniel J. , Paz Alejandro , Andress Joseph E. , Friedman Gregory K. , Metrock Katie , Neglia Joseph P. , Arnold Michael , Turcotte Lucie M. , de Blank Peter , Leisenring Wendy , Armstrong Gregory T. , Robison Leslie L. , Clapp D. Wade , Shannon Kevin , Nakamura Jean L. , Fisher Michael J. 
Published: September 2019

PURPOSE Fundamental gaps in knowledge regarding the risk of subsequent neoplasms (SNs) in children with pathogenic neurofibromatosis type 1 (NF1) variants exposed to radiation and/or alkylator chemotherapy have limited the use of these agents. METHODS We addressed these gaps by determining the SN risk in 167 NF1-affected versus 1,541 non–NF1-affected 5-year childhood cancer survivors from the Childhood Cancer Survivor Study and 176 nonoverlapping NF1-affected individuals with primary tumors from University of Alabama at Birmingham and Children’s Hospital of Philadelphia exposed to radiation and/or chemotherapy. Proportional subdistribution hazards multivariable regression analysis was used to examine risk factors, adjusting for type and age at primary tumor diagnosis and therapeutic exposures. RESULTS In the Childhood Cancer Survivor Study cohort, the 20-year cumulative incidence of SNs in NF1 childhood cancer survivors was 7.3%, compared with 2.9% in the non-NF1 childhood cancer survivors ( P = .003), yielding a 2.4-fold higher risk of SN (95% CI, 1.3 to 4.3; P = .005) in the NF1-affected individuals. In the University of Alabama at Birmingham and Children’s Hospital of Philadelphia cohort, among NF1-affected individuals with a primary tumor, the risk of SNs was 2.8-fold higher in patients with irradiated NF1 (95% CI, 1.3 to 6.0; P = .009). In contrast, the risk of SNs was not significantly elevated after exposure to alkylating agents (hazard ratio, 1.27; 95% CI, 0.3 to 3.0; P = .9). CONCLUSION Children with NF1 who develop a primary tumor are at increased risk of SN when compared with non-NF1 childhood cancer survivors. Among NF1-affected children with a primary tumor, therapeutic radiation, but not alkylating agents, confer an increased risk of SNs. These findings can inform evidence-based clinical management of primary tumors in NF1-affected children.
At the heart of genetic disease: an interview with Elizabeth McNally
Authors: McNally Elizabeth 
Published: September 2019

ABSTRACT
Elizabeth McNally is a human geneticist and a cardiologist whose research has been instrumental in understanding the mechanisms of inherited heart and skeletal muscle diseases. She is the Director of the Center for Genetic Medicine at Northwestern University's Feinberg School of Medicine. In this interview, Elizabeth talks about her first experiences in science, the importance of understanding complex genetic interactions and the effort we all need to make to facilitate diversity in science.
What species make up the Nike fish assemblages at the macrotidal estuary in Gorontalo Bay, Indonesia?
Authors: Sahami Femy M. , Kepel Rene Charles , Olii Abdul Hafidz , Pratasik Silvester Benny 
Published: September 2019

Background:No study has documented the species composition of Nike fish (fam: Gobiidae) schools. The aim of this study is to document the species composition of the Nike-fish schooling.Methods:All samples were collected randomly from fisher’s catch during the fishing season on 5th–11th October 2018 at macrotidal area in Leato. Then, all specimens were identified morphologically by melanophore pattern differences. Subsequently, all identified-samples by melanophores pattern differences were sent to the genetic laboratory for identification.Results:The morphological results show there are five individuals with a different melanophores pattern. On the contrary, the genetic results only show four species from those five individuals. They areSicyopterus pugnans, S. cynocephalus, Belobranchus segura,andBunaka gyrinoides.Conclusions:Our findings show that there are only four species that compose the Nike fish schooling in Gorontao Bay. They areSicyopterus pugnans, Sicyopterus cynocephalus, Belobranchus segura,andBunaka gyrinoides.
Next-generation sequencing of microbial cell-free DNA for rapid noninvasive diagnosis of infectious diseases in immunocompromised hosts
Authors: Camargo Jose F. , Ahmed Asim A. , Lindner Martin S. , Morris Michele I. , Anjan Shweta , Anderson Anthony D. , Prado Clara E. , Dalai Sudeb C. , Martinez Octavio V. , Komanduri Krishna V. 
Published: September 2019

Background: Cell-free DNA (cfDNA) sequencing has emerged as an effective laboratory method for rapid and noninvasive diagnosis in prenatal screening testing, organ transplant rejection screening, and oncology liquid biopsies. Methods: Here we report our experience using next-generation sequencing (NGS) for detection of microbial cfDNA in a cohort of ten immunocompromised patients with febrile neutropenia, pneumonia or intra-abdominal infection. Results: Among five hematological malignancy patients, for whom a microbiological diagnosis was established, pathogen identification by cfDNA NGS demonstrated 100% positive agreement with conventional diagnostic laboratory methods. Further, cfDNA identified the etiological agent in two patients with culture negative sepsis who had undergone hematopoietic stem cell transplant. Conclusion: These data support the clinical utility of measurement of microbial cfDNA sequencing from peripheral blood for rapid noninvasive diagnosis of infections in immunocompromised hosts. Larger studies are needed.
¿Una justicia actuarial? Entrevista a Malcolm Feeley y Jonathan Simon
Authors: Zysman Diego , Sicardi Mariano 
Published: September 2019

La entrevista se realizó en el Center for the Study of Law and Society, Universidad de California en Berkeley (EEUU), en febrero de 2018. Forma parte de The Oral History of Criminology Project, y se encuentra disponible en formato audiovisual para su reproducción en la siguiente página: https://www.youtube.com/watch?v=XprWylT4tPE&feature=youtu.be. La traducción de la entrevista fue realizada por Juan Carlos (Junior) Ruas (UBA/INECIP), con la posterior revisión y notas aclaratorias de Mariano Sicardi.
Strategi Pembentukan Tambrauw Sebagai Kabupaten Konservasi di Papua
Authors: Marten Sepus Fatem , Awang San Afri , Maryudi Ahmad , Pudyatmoko Satyawan , Marwa Jonni , Manuhua Devi , Lembang Salmon 
Published: September 2019

Tambrauw merupakan kabupaten di Papua Barat yang menempatkan kebijakan konservasi sebagai domain pembangunan daerah. Penelitian ini bertujuan merancang strategi bagi pembentukan Tambrauw sebagai Kabupaten Konservasi. Penelitian berlangsung sejak bulan oktober-November 2017, menggunakan pendekatan SWOT untuk analisis kekuatan dan kelemahan (faktor Internal) dan peluang dan ancaman (faktor eksternal). Hasil penelitian menunjukkan bahwa Tambrauw layak sebagai Kabupaten Konservasi, dimana posisinya berada pada kwadran I. Artinya bahwa terdapat kekuatan dan peluang sebagai faktor kunci pembentukan kabupaten Konservasi. Kelayakan sebagai kabupetan konservasi juga terlihat melalui hasil analisis faktor internal dan eksternal, dimana Tambrauw dimungkinkan menjadi kabupaten konservasi dengan nilai evaluasi faktor internal 3.20 dan ekternal sebesar 2.75. Meskipun faktor kelemahan dan keterancaman memiliki potensi cukup besar, namun melalui 4 pilihan strategi yang ditetapkan diyakini akan membantu pemerintah Kabupaten Tambrauw memperkecil ancaman dan kelemahan dimaksud.
An experimental evaluation of large scale GBDT systems
Authors: Fu Fangeheng , Jiang Jiawei , Shao Yingxia , Cui Bin 
Published: September 2019

Gradient boosting decision tree (GBDT) is a widely-used machine learning algorithm in both data analytic competitions and real-world industrial applications. Further, driven by the rapid increase in data volume, efforts have been made to train GBDT in a distributed setting to support large-scale workloads. However, we find it surprising that the existing systems manage the training dataset in different ways, but none of them have studied the impact of data management. To that end, this paper aims to study the pros and cons of different data management methods regarding the performance of distributed GBDT.
We first introduce a quadrant categorization of data management policies based on data partitioning and data storage. Then we conduct an in-depth systematic analysis and summarize the advantageous scenarios of the quadrants. Based on the analysis, we further propose a novel distributed GBDT system named Vero, which adopts the unexplored composition of vertical partitioning and row-store and suits for many large-scale cases. To validate our analysis empirically, we implement different quadrants in the same code base and compare them under extensive workloads, and finally compare Vero with other state-of-the-art systems over a wide range of datasets. Our theoretical and experimental results provide a guideline on choosing a proper data management policy for a given workload.
Dietcoin
Authors: Frey Davide , Makkes Marc X. , Roman Pierre-Louis , Taïani François , Voulgaris Spyros 
Published: September 2019

Distributed ledgers are among the most replicated data repositories in the world. They offer data consistency, immutability, and auditability, based on the assumption that each participating node locally verifies their entire content. Although their content, currently extending up to a few hundred gigabytes, can be accommodated by dedicated commodity hard disks, downloading it, processing it, and storing it in general-purpose desktop and laptop computers can prove largely impractical. Even worse, this becomes a prohibitive restriction for smartphones, mobile devices, and resource-constrained IoT devices.
In this demo, we present an implementation of Dietcoin, a Bitcoin protocol extension that allows nodes to perform secure local verification of Bitcoin transactions with small bandwidth and storage requirements. This demo presents and benchmarks the main features of Dietcoin that are important for today's cryptocurrencies and smart contract systems, but are missing in the current state-of-the-art: (i) allowing resource-constrained devices to verify the correctness of selected blocks locally without having to download the complete ledger; (ii) enabling devices to join a blockchain quickly yet securely, dropping bootstrap time from days down to a matter of seconds; (iii) providing a generic solution that can be applied to other distributed ledgers secured with Proof-of-Work.
TextCube
Authors: Meng Yu , Huang Jiaxin , Shang Jingbo , Han Jiawei 
Published: September 2019

Today's society is immersed in a wealth of text data, ranging from news articles, to social media, research literature, medical records, and corporate reports. A grand challenge of data science and engineering is to develop effective and scalable methods to extract structures and knowledge from massive text data to satisfy diverse applications, without extensive, corpus-specific human annotations.
In this tutorial, we show that TextCube provides a critical information organization structure that will satisfy such an information need. We overview a set of recently developed data-driven methods that facilitate automated construction of TextCubes from massive, domain-specific text corpora, and show that TextCubes so constructed will enhance text exploration and analysis for various applications. We focus on new TextCube construction methods that are scalable, weakly-supervised, domain-independent, language-agnostic, and effective (i.e., generating quality TextCubes from large corpora of various domains). We will demonstrate with real datasets (including news articles, scientific publications, and product reviews) on how TextCubes can be constructed to assist multidimensional analysis of massive text corpora.
Procella
Authors: Chattopadhyay Biswapesh , Dutta Priyam , Liu Weiran , Tinn Ott , Mccormick Andrew , Mokashi Aniket , Harvey Paul , Gonzalez Hector , Lomax David , Mittal Sagar , Ebenstein Roee , Mikhaylin Nikita , Lee Hung-ching , Zhao Xiaoyan , Xu Tony , Perez Luis , Shahmohammadi Farhad , Bui Tran , McKay Neil , Aya Selcuk , Lychagina Vera , Elliott Brett 
Published: September 2019

Large organizations like YouTube are dealing with exploding data volume and increasing demand for data driven applications. Broadly, these can be categorized as: reporting and dashboarding, embedded statistics in pages, time-series monitoring, and ad-hoc analysis. Typically, organizations build specialized infrastructure for each of these use cases. This, however, creates silos of data and processing, and results in a complex, expensive, and harder to maintain infrastructure.
At YouTube, we solved this problem by building a new SQL query engine - Procella. Procella implements a superset of capabilities required to address all of the four use cases above, with high scale and performance, in a single product. Today, Procella serves hundreds of billions of queries per day across all four workloads at YouTube and several other Google product areas.
Statistical convergence of double sequences on product time scales
Authors: Çinar Muhammed , Yilmaz Emrah , Altin Yavuz , Gulsen Tuba 
Published: September 2019

Abstract
In this study, we present the basic concepts of statistical convergence for double sequences on an arbitrary product time scale.
Moreover, we investigate the connection between statistical convergence for double sequences and double Cesàro summability on a product time scale.
Explaining and Predicting Midterm Congressional Election Outcomes: Factoring in Opposition Party Strategy
Authors: King James D. 
Published: September 2019

AbstractMidterm congressional elections are referenda on the president not by happenstance but by design, as the opposition party and its candidates attack the administration when political conditions provide the opportunity. Models for explaining and predicting the number of seats won by the president’s party incorporating the number of seats held before the election, prior election results, change in status of the economy, and presidential evaluation data conditioned by strategy of the opposition party are presented. These models improve upon traditional models of midterm election explanations and predictions, providing parsimonious, theory-driven, and accurate models of midterm election outcomes.
Dumping Trump and Electoral Bumps: The Causes and Consequences of Republican Officeholders’ Endorsement Decisions
Authors: Mathew Nicole Asmussen 
Published: September 2019

Abstract
Endorsement of the party’s nominee by the vast majority of that party’s top elected officials is a foregone conclusion in most presidential campaigns. But in 2016, Republican lawmakers were slow to endorse Donald Trump, lackluster in their enthusiasm, and a substantial number never endorsed or withdrew their endorsements by the campaign’s end. What explains lawmakers’ decisions to endorse, and the timing and strength of their endorsements? I find that primary endorsements were most likely to come from anti-immigration moderates, but as the campaign wore on, conservatives and members from more Republican districts became more supportive in their endorsements. Women were highly influenced by the release of the Access Hollywood tape, while Ted Cruz’s endorsers were stingy in their support until Cruz himself issued a late September endorsement. To see if these endorsement decisions made a difference in the election, I compare the performance of endorsers and non-endorsers in the 2016 congressional elections, and I compare Trump’s performance in districts in which he was endorsed to those in which he wasn’t. Rather than the traditional presidential coattails, I find evidence of negative coattails and reverse coattails. Endorsers did about 1.7 percentage points worse than non-endorsers, while Trump did 1.4 percentage points better in districts where the incumbent Republican endorsed him.
Using Journal Impact Factor to Assess Scholarly Records: Overcorrecting for the Potter Stewart Approach to Promotion and Tenure
Authors: Oldmixon Elizabeth A. , Grant J. Tobin 
Published: September 2019

AbstractPromotion and tenure decisions frequently require an assessment of the quality of a candidate’s research record. Without carefully specifying what constitutes a tenurable and promotable record, departments frequently adopt the Potter Stewart approach – they know it when they see it. The benefit of such a system is that it allows for multiple paths to tenure and promotion and encourages holistic review, but the drawback is that it allows for the promotion and tenure process to be more easily manipulated by favoritism and bias. Incorporating transparent metrics such as journal impact factor (JIF) would seem like a good way to standardize the process. We argue, however, that when JIF becomes determinative, conceptual disadvantages and systematic biases are introduced into the process. JIF indicates the visibility or utility of ajournal; it does not and cannot tell us about individual articles published in that journal. Moreover, it creates inequitable paths to tenure on the basis of gender and subfield, given gendered patterns of publications and the variation in journal economies by subfield.
Ready for Hillary?: Explicit and Implicit Sexism in the 2016 Presidential Election
Authors: Barnello Michelle A. , Bitecofer Rachel , Kidd Quentin 
Published: September 2019

AbstractThe 2016 nomination of Hillary Clinton as the first female major party nominee for president created an unprecedented opportunity to test for evidence of explicit sexism in the electorate. Presidential elections normally produce two equally matched nominees with impressive public service resumes who behave similarly on the campaign trail. However, while Democrats were making history nominating the first female nominee, the Republicans also made history by selecting a nominee with no public service experience, a controversial personal background, and conduct that conflicted sharply with traditional norms of presidential candidates. In survey after survey, voters recognized that Clinton held a significant qualification advantage over Donald Trump. Yet, despite the fact that both men and women were more likely to rate Clinton as more qualified than her opponent overall, using an innovative approach via an original survey, we find evidence of implicit sexism in the way that some males evaluated Clinton compared to their female counterparts.
“One Difficulty…of a Serious Nature”: The Overlooked Racial Dynamics of the Electoral College
Authors: Blake William D. 
Published: September 2019

Abstract
This paper explores the racial origins and legacy of the Electoral College through historical and quantitative analyses. At the Constitutional Convention, the Electoral College served the interests of Southern slaveowners by perpetuating the advantage of the Three-Fifths Compromise. Following Reconstruction, Southern states that disenfranchised African Americans received an even larger voice in the Electoral College. Republicans tried to counter these moves by admitting unusually small states into the union. The ironic consequence of this non-racial decision is that, today, these states are heavily White and have citizens with higher levels of racial resentment. A MM-regression analysis of every election from 2000 on indicates the Electoral College has consistently awarded more votes per capita to states with Whiter populations and more racially conservative attitudes. The racially-disparate power exerted by these states makes it more difficult to enact racially-egalitarian policies. This paper adds a new perspective to the normative debate over the Electoral College, which typically focuses on democratic fairness and federalism concerns.
Confronting the impact of teen pregnancy in Mississippi: the need for after-school programs
Authors: Bogan Danielle R. , Aranmolate Rasaki , Mawson Anthony R. 
Published: September 2019

Abstract
Although rates have decreased 8% since 2014, teen pregnancy remains a substantial public health and social problem in Mississippi and elsewhere in the US. Evidence suggests that, among teenagers, the after-school hours from 3 to 6 pm are peak times of risky sexual activity. This paper reviews recent research and programs concerning sexual risk behavior among adolescents and proposes that after-school programs would increase the daily period of supervised activity and thereby reduce risks not only of pregnancy and sexually transmitted diseases but would also serve to enhance scholastic attainment and hence career prospects for the future. After-school programs from 3 to 6 p.m. should incorporate a multifaceted model that includes academic enhancement and recreational activities as well as curriculum-based sex education, youth development, and service learning.
Sparing the control arm using well-characterized diagnostic approaches – the Gart and Buck prevalence estimator for efficacy estimation in single-arm trials
Authors: Hahn Andreas , Loderstädt Ulrike , Frickmann Hagen , Schwarz Norbert G. 
Published: September 2019

Abstract
Efficacy estimation of medical interventions in clinical trials requires diagnostics to assess the study endpoint. The imperfect nature of diagnostics often leads to biased efficacy estimations, usually underestimation, that could result in failure of clinical trials. Adjustment methods can be used if sensitivity and specificity are known, but they are not regularly applied. Double-arm clinical trials are the standard for demonstrating the superiority of a medical intervention. However, sometimes single-arm trials are the only option: for example, if a parallel group trial design with a control group is regarded as unethical. Based on the Gart and Buck prevalence estimator (aka the Rogan-Gladen estimator), we demonstrate how the concept of diagnostic accuracy-adjusted effect estimation can be used for estimating the efficacy in single-arm trials. The accuracy of the diagnostic measure (sensitivity and specificity) used for endpoint assessment as well as the predictive accuracy of a predictor and its allocation among the study population have to be known to obtain consistent efficacy estimation of a medical intervention. If double-arm trials are not feasible, an approach such as that described here can provide evidence regarding the efficacy of a medical intervention based on a single-arm trial.
Crystal structure of catena-poly[tri(4-chlorophenyl)-(μ2-hydroxido)tin(IV)] – 2-propanol (1/1), C21H21Cl3O2Sn
Authors: Lo Kong Mun , Lee See Mun , Tiekink Edward R.T. 
Published: September 2019

Abstract
C21H21Cl3O2Sn, monoclinic, P21/n (no. 14), a = 13.3360(1) Å, b = 8.2332(1) Å, c = 20.2443(2) Å, β = 104.070(1)°, V = 2156.10(4) Å3, Z = 4, R
gt(F) = 0.0199, wR
ref(F
2) = 0.0544, T = 100(2) K.
Personal View – The Evolution of Neurochemistry
Authors: Hucho Ferdinand 
Published: September 2019

Abstract
This esssay is a personal account of the evolution of Neurochemistry in the past century. It describes in parallel the authors way from chemistry to biochemistry and finally to Neurochemistry and the progress of a most exciting chapter of the Life Sciences. It covers the successful time period of reductionist research (by no means comprehensively), which lay the ground for the recent and future systems approach. This development promises answers to fundamental questions of our existence as human beings.