bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Renal Extraction and the Natriuretic Action of GLP-1 in Humans Depend on Interaction With the GLP-1 Receptor
Authors: Asmar Ali , Cramon Per K , Asmar Meena , Simonsen Lene , Sorensen Charlotte M , Madsbad Sten , Hartmann Bolette , Holst Jens J , Hovind Peter , Jensen Boye L , Bülow Jens 
Published: September 2020

Abstract

Purpose
The natriuretic effect of glucagon-like peptide-1 (GLP-1) in humans is independent of changes in renal plasma flow (RPF) and glomerular filtration rate (GFR) but may involve suppression of angiotensin II (ANG II) and a significant (~45%) renal extraction of GLP-1. The current study was designed to investigate the consequences for the renal extraction and the natriuretic effect of blocking GLP-1 receptors with the specific GLP-1 receptor antagonist, Exendin 9–39 (Ex 9–39).

Methods
Under fixed sodium intake for 4 days before each study day, 6 healthy male participants were recruited from our recent study where GLP-1 or vehicle was infused (1). In the present new experiments, participants were examined during a 3-hour infusion of GLP-1 (1.5 pmol/kg/min) together with a 3.5-hour infusion of Ex 9–39 (900 pmol/kg/min). Timed urine collections were conducted throughout the experiments. Renal extraction of GLP-1 as well as RPF and GFR were measured via Fick’s principle after catheterization of a renal vein. Arterial plasma renin, ANG II, and aldosterone concentrations were measured.

Results
Co-infusion of Ex 9–39 significantly reduced renal extraction of GLP-1 to ~25% compared with GLP-1 infusion alone (~45%). Urinary sodium excretions remained at baseline levels during co-infusion of Ex 9–39 as well as vehicle. By contrast, GLP-1 infusion alone resulted in a 2-fold increase in natriuresis. Ex 9–39 abolished the GLP-1-induced decrease in arterial ANG II concentrations. RPF and GFR remained unchanged during all experiments.

Conclusions
Renal extraction of GLP-1 and its effect on natriuresis are both dependent on GLP-1 receptor activation in healthy humans.
Crisis, what crisis? Addiction neuroscience and the challenges of translation
Authors: McLean Samuel , Rose Nikolas 
Published: September 2020

In this article we interrogate the claim that there is an opioid crisis: a dramatic rise in drug overdose fatalities in the United States over the past two decades that is also spreading to other countries. The usual argument is that this crisis is largely explained by errant prescription practices leading to an oversupply of opioids, leading to addiction, premature mortality and drug overdose deaths, both among those prescribed opioids for pain relief, and those obtaining them on the illegal market. We argue, that this view is highly problematic and that it is likely to entrench deeper problems with how substance addiction has been perceived and known. In this article, we develop an alternative picture of the addiction crisis based on four years of research and collaboration with addiction neuroscientists. Drug overdose deaths, we claim, are symptoms of what we term the ‘structural distribution of social despair.’ We argue that this is compounded by a translation crisis at the heart of addiction neuroscience. For all its dominance, the ‘dopamine hypothesis’ of addiction that shaped understandings for some three decades, has still not produced a single effective treatment. However, this translation crisis also represents an opportunity for ‘the memory turn’ in addiction neuroscience as it seeks to translate its emerging conception of addiction as a problem of memory into effective forms of treatment. We conclude by arguing that, for the ‘memory turn’ to underpin effective interventions into ‘the opioid crisis’, a new relation between neuroscientists and social scientists of addiction is needed, one that proceeds from the lived experience of human beings.
Integrating Practice into Accounting Research
Authors: Rajgopal Shiva 
Published: September 2020

I argue that academic research in accounting has strayed from producing work that is useful to either practitioners or policy makers. I use three criteria to arrive at that assessment: (i) How many products and processes have accounting research produced in the last 50 years? (ii) How much overlap do we observe between issues that Chief Financial Officers (CFOs) and Chief Executive Officers (CEOs) worry about and our published research? (iii) Is the science or the knowhow in academe in a particular area ahead of that in practice? I conjecture that tuition-funded research drives this problem. I review several initiatives that have been tried at Columbia and elsewhere (i) to better integrate academic research and practice and (ii) to disseminate our findings to practitioners. I suggest that Management Science set up a forum to encourage submissions of papers that use rigorous methods to address pressing applied problems. This paper was accepted by David Simchi-Levi, Special Section of Management Science: 65th Anniversary.
Hospital Readmissions Reduction Program Does Not Provide the Right Incentives: Issues and Remedies
Authors: Arifoğlu Kenan , Ren Hang , Tezcan Tolga 
Published: September 2020

The Hospital Readmissions Reduction Program (HRRP) reduces Medicare payments to hospitals with higher than expected readmission rates where the expected readmission rate for each hospital is determined based on the readmission levels at other hospitals. Although similar relative performance-based schemes are shown to lead to socially optimal outcomes in other settings (e.g., cost-cutting efforts), HRRP differs from these schemes in three respects: (i) deviation from the targets is adjusted using a multiplier; (ii) the total financial penalty for a hospital with higher than expected readmission rate is capped; and (iii) hospitals with lower than expected readmission rates do not receive bonus payments. We study three regulatory schemes derived from HRRP to determine the impact of each feature and use a principal-agent model to show that (i) HRRP overpenalizes hospitals with excess readmissions because of the multiplier and its effect can be substantial; (ii) having a penalty cap can curtail the effect of financial incentives and result in a no equilibrium outcome when the cap is too low; and (iii) not allowing bonus payments leads to many alternative symmetric equilibria, including one where hospitals exert no effort to reduce readmissions. These results show that HRRP does not provide the right incentives for hospitals to reduce readmissions. Next, we show that a bundled payment-type reimbursement method, which reimburses hospitals once for each episode of care (including readmissions), leads to socially optimal cost and readmissions reduction efforts. Finally, we show that, when delays to accessing care are inevitable, the reimbursement schemes need to provide additional incentives for hospitals to invest sufficiently in capacity. This paper was accepted by Stefan Scholtes, healthcare management.
Pytheas
Authors: Christodoulakis Christina , Munson Eric B. , Gabel Moshe , Brown Angela Demke , Miller Renée J. 
Published: September 2020

CSV is a popular Open Data format widely used in a variety of domains for its simplicity and effectiveness in storing and disseminating data. Unfortunately, data published in this format often does not conform to strict specifications, making automated data extraction from CSV files a painful task. While table discovery from HTML pages or spreadsheets has been studied extensively, extracting tables from CSV files still poses a considerable challenge due to their loosely defined format and limited embedded metadata.
In this work we lay out the challenges of discovering tables in CSV files, and propose Pytheas: a principled method for automatically classifying lines in a CSV file and discovering tables within it based on the intuition that tables maintain a coherency of values in each column. We evaluate our methods over two manually annotated data sets: 2000 CSV files sampled from four Canadian Open Data portals, and 2500 additional files sampled from Canadian, US, UK and Australian portals. Our comparison to state-of-the-art approaches shows that Pytheas is able to successfully discover tables with precision and recall of over 95.9% and 95.7% respectively, while current approaches achieve around 89.6% precision and 81.3% recall. Furthermore, Pytheas's accuracy for correctly classifying all lines per CSV file is 95.6%, versus a maximum of 86.9% for compared approaches. Pytheas generalizes well to new data, with a table discovery F-measure above 95% even when trained on Canadian data and applied to data from different countries. Finally, we introduce a confidence measure for table discovery and demonstrate its value for accurately identifying potential errors.
Magic mirror in my hand, which is the best in the land?
Authors: Kossmann Jan , Halfpap Stefan , Jankrift Marcel , Schlosser Rainer 
Published: September 2020

Indexes are essential for the efficient processing of database workloads. Proposed solutions for the relevant and challenging index selection problem range from metadata-based simple heuristics, over sophisticated multi-step algorithms, to approaches that yield optimal results. The main challenges are (i) to accurately determine the effect of an index on the workload cost while considering the interaction of indexes and (ii) a large number of possible combinations resulting from workloads containing many queries and massive schemata with possibly thousands of attributes.
In this work, we describe and analyze eight index selection algorithms that are based on different concepts and compare them along different dimensions, such as solution quality, runtime, multi-column support, solution granularity, and complexity. In particular, we analyze the solutions of the algorithms for the challenging analytical Join Order, TPC-H, and TPC-DS benchmarks. Afterward, we assess strengths and weaknesses, infer insights for index selection in general and each approach individually, before we give recommendations on when to use which approach.
Practical client-side replication
Authors: van der Linde Albert , Leitão João , Preguiça Nuno 
Published: September 2020

Client-side replication and direct client-to-client synchronization can be used to create highly available, low-latency interactive applications. Causal consistency, the strongest available consistency model under network partitions, is an attractive consistency model for these applications.
This paper focuses on how client misbehaviour impacts causal consistency. We analyze the possible attacks to causal consistency and derive secure consistency models that preclude different types of misbehaviour. We propose a set of techniques for implementing such secure consistency models, which exhibit different trade-offs between the application guarantees, and the latency and communication overhead.
Our evaluation shows that secure consistency models impose low overhead when compared with their insecure counterparts, while providing low user-to-user latency and server load compared with traditional client-server architectures. Secure consistency models can be used to enrich server-based architectures with fast and secure peer-to-peer interactions.
SAQE
Authors: Bater Johes , Park Yongjoo , He Xi , Wang Xiao , Rogers Jennie 
Published: September 2020

A private data federation enables clients to query the union of data from multiple data providers without revealing any extra private information to the client or any other data providers. Unfortunately, this strong end-to-end privacy guarantee requires cryptographic protocols that incur a significant performance overhead as high as 1,000 x compared to executing the same query in the clear. As a result, private data federations are impractical for common database workloads. This gap reveals the following key challenge in a private data federation: offering significantly fast and accurate query answers without compromising strong end-to-end privacy.
To address this challenge, we propose SAQE, the Secure Approximate Query Evaluator, a private data federation system that scales to very large datasets by combining three techniques --- differential privacy, secure computation, and approximate query processing --- in a novel and principled way. First, SAQE adds novel secure sampling algorithms into the federation's query processing pipeline to speed up query workloads and to minimize the noise the system must inject into the query results to protect the privacy of the data. Second, we introduce a query planner that jointly optimizes the noise introduced by differential privacy with the sampling rates and resulting error bounds owing to approximate query processing.
Our research shows that these three techniques are synergistic: sampling within certain accuracy bounds improves both query privacy and performance, meaning that SAQE executes over less data than existing techniques without sacrificing efficiency, privacy, or accuracy. Using our optimizer, we leverage this counter-intuitive result to identify an inflection point that maximizes all three criteria prior query evaluation. Experimentally, we show that this result enables SAQE to trade-off among these three criteria to scale its query processing to very large datasets with accuracy bounds dependent only on sample size, and not the raw data size.
ExplainED
Authors: Deutch Daniel , Gilad Amir , Milo Tova , Somech Amit 
Published: September 2020

Exploratory Data Analysis (EDA) is an essential yet highly demanding task. To get a head start before exploring a new dataset, data scientists often prefer to view existing
EDA notebooks
- illustrative exploratory sessions that were created by fellow data scientists who examined the same dataset and shared their notebooks via online platforms. Unfortunately, creating an illustrative, well-documented notebook is cumbersome and time-consuming, therefore users sometimes share their notebook without explaining their exploratory steps and their results. Such notebooks are difficult to follow and to understand.

To address this, we present ExplainED, a system that automatically attaches explanations to views in EDA notebooks. ExplainED analyzes each view in order to detect what elements thereof are particularly interesting, and produces a corresponding textual explanation. The explanations are generated by first evaluating the interestingness of the given view using several measures capturing different interestingness facets, then computing the Shapely values of the elements in the view, w.r.t. the interestingness measure yielding the highest score. These Shapely values are then used to guide the generation of the textual explanation.
We demonstrate the usefulness of the explanations generated by ExplainED on real-life, undocumented EDA notebooks.
MyRocks
Authors: Matsunobu Yoshinori , Dong Siying , Lee Herman 
Published: September 2020

Facebook uses MySQL to manage tens of petabytes of data in its main database named the User Database (UDB). UDB serves social activities such as likes, comments, and shares. In the past, Facebook used InnoDB, a B+Tree based storage engine as the backend. The challenge was to find an index structure using less space and write amplification [1]. LSM-tree [2] has the potential to greatly improve these two bottlenecks. RocksDB, an LSM tree-based key/value store was already widely used in variety of applications but had a very low-level key-value interface. To overcome these limitations, MyRocks, a new MySQL storage engine, was built on top of RocksDB by adding relational capabilities. With MyRocks, using the RocksDB API, significant efficiency gains were achieved while still benefiting from all the MySQL features and tools. The transition was mostly transparent to client applications.
Facebook completed the UDB migration from InnoDB to MyRocks in 2017. Since then, ongoing improvements in production operations, and additional enhancements to MySQL, MyRocks, and RocksDB, provided even greater efficiency wins. MyRocks also reduced the instance size by 62.3% for UDB data sets and performed fewer I/O operations than InnoDB. Finally, MyRocks consumed less CPU time for serving the same production traffic workload. These gains enabled us to reduce the number of database servers in UDB to less than half, saving significant resources. In this paper, we describe our journey to build and run an OLTP LSM-tree SQL database at scale. We also discuss the features we implemented to keep pace with UDB workloads, what made migrations easier, and what operational and software development challenges we faced during the two years of running MyRocks in production.
Among the new features we introduced in RocksDB were transactional support, bulk loading, and prefix bloom filters, all are available for the benefit of all RocksDB users.
AutoToken
Authors: Sen Rathijit , Jindal Alekh , Patel Hiren , Qiao Shi 
Published: September 2020

Right-sizing resource allocation for big-data queries, particularly in serverless environments, is critical for improving infrastructure operational efficiency, capacity availability, query performance predictability, and for reducing unnecessary wait times. In this paper, we present AutoToken --- a simple and effective predictor for estimating the peak resource usage of recurring big data queries. It uses multiple query plan identifiers to identify recurring query templates and to learn models with the goal of reducing over-allocation in future instances of those queries. AutoToken is computationally light, for both training and scoring, is easily deployable at scale, and is integrated with the Peregrine workload optimization infrastructure at Microsoft. We extensively evaluate AutoToken on SCOPE jobs from our production clusters and show that it outperforms state-of-the-art solutions for peak resource estimation.
We also discuss our plans towards supporting repeatable and extensible research on resource prediction for SCOPE jobs, including describing a simulation methodology for generating arbitrary-sized datasets with similar characteristics as the production datasets.
Procopius on Theodora: ancient and new biographical patterns
Authors: Grau Sergi , Febrer Oriol 
Published: September 2020

Abstract
The Anékdota or Secret History of Procopius of Caesarea tends to raise perplexity among scholars for different reasons, particularly the fact that a courtier wrote this work as well as the Buildings, a clear praise of Justinian through his constructions and foundations, and the Wars, in the most canonical historiographical tradition. It is apparent that the Secret History, as it is usually acknowledged, is related to the tradition of the invective and the pamphlet, even to the earlier classic iambography, but we should try to answer the question with the same analytical tools that have been applied in recent years to the study of ancient biography, whence the author takes inspiration, especially for the portrait of empress Theodora. Here we have identified, alongside the ancient biographical patterns of the classical tradition, new ones, mostly inversions of contemporary hagiographical narratives.
Die Kirche von Zypern im sogenannten monenergetisch-monotheletischen Streit des 7. Jh.s
Authors: Ohme Heinz 
Published: September 2020

Abstract
This essay examines the main sources on the attitude of the Church of Cyprus in the so-called monoenergetic-monotheletic dispute. It is shown that the Church of Cyprus was a loyal and active partner in Constantinople’s policy of reconciliation with the Antichalcedonian churches of the East. Cyprus was also, especially under Archbishop Arkadios (624/25-641/2), a place of exile for opponents of this reconciliation, and in 636 also the venue of an important synod which was attended by legates of almost the whole church. The resulting Ekthesis was approved also in Rome and Jerusalem. Even Maximos did not succeed, after 636, to influence the position of Arkadios through the Cypriot priest monk Marinos. His six letters to Marinos offer no evidence for a dyenergetic or dyotheletic position of the Church of Cyprus. A letter from 643, written by the successor of Arkadios, Sergios (642-655), clearly shows that there was until then no protest against the Constantinopolitan church policy in Cyprus in this time. This letter, which demonstrates the firm dyenergetic and dyotheletic position of the whole Church of Cyprus, was presented at the Lateran Synod of 649, but forged or completely rewritten for this Synod. Even after 643, there is no evidence for public dissent in the Church of Cyprus, nor should it actually be expected.
Are changes transmitted mistakes?
Authors: De Smet Hendrik 
Published: September 2020

AbstractOne view of language change sees changes as originating in erroneous deviations from the linguistic norm and diffusing through social transmission. An alternative is to see changes as originating in speakers’ problem-solving activities and spreading in response to system pressures that reflect speakers’ recurrent communicative needs and shared resources. It is argued here that the latter may well be the dominant scenario.
Journey to simulation program accreditation
Authors: Stueben Frances , Broussard Lisa 
Published: September 2020

Abstract
Accreditation of simulation programs is relatively new, and entails a rigorous process of planning, development and evaluation of all aspects of the simulation experience for students and/or health care professionals. The purpose of this paper is to describe the experience of a Nursing Simulation Program in achieving designation as a fully accredited program. The process of developing a formal simulation program, strategic plan, policies and procedures, and an evaluation plan are included, as well as the benefits to achieving accreditation.
“They are just a danger”: Racialized ideologies in Northern Italy and the Philippines
Authors: Perrino Sabina , Jereza Rachelle 
Published: September 2020

Abstract
There has been much discussion of the proliferation of racialized narratives both offline and online and its role in the current electoral successes of far-right movements across the globe. We extend this conversation by analyzing narrative practices from two contexts where far-right parties and figures enjoy popular support: Italy and the Philippines. In both cases, we show how narratives that pivot on race constitute stancetaking practices that align with far-right agendas. In the Northern Italian case, racialized stances emerge in storytelling events, through which participants (co)construct extracomunitari, or ‘migrants from outside the European Union’, as “other” and “a danger” to the Italian nation. In the case of Filipino YouTube users, President Duterte’s supporters subvert racialized tropes through anti-imperial narratives in ways that attempt to delegitimize human rights criticisms of the drug war. We show how, in and through narrative practices, speech participants justify exclusionary and eliminationist politics in far-right contexts.
Talking “like a race”: Gender, authority, and articulate speech in African American students’markingspeech acts
Authors: Delfino Jennifer B. 
Published: September 2020

AbstractThis study examines how 9- to 13-year old African American students in a Washington, D.C. after-school program use an African American discourse practice calledmarkingto voice adults performing acts of discipline. Using audio-recorded data collected during nine months of ethnographic fieldwork, it shows how students used marking to resemiotize the prestige value of African American Language (AAL) relative to so-called “standard” American English, which is imagined in relation to whiteness as an objectively correct set of linguistic practices. As part of an intersectional raciolinguistic perspective, this study foregrounds how students recruit gender stereotypes to challenge hegemonic ideas about racial and linguistic difference. It also attends to the contradictory nature of everyday acts of resistance: while students transformed hegemonic raciolinguistic ideologies of “articulate” and “appropriate” language in the after school space, they relied on racial and gender stereotypes in order to do so.