bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anchor: A Library for Building Secure Persistent Memory Systems
Authors: Stavrakakis Dimitrios , Giantsidi Dimitra , Bailleu Maurice , Sändig Philip , Issa Shady , Bhatotia Pramod 
Published: December 2023

Cloud infrastructure is experiencing a shift towards disaggregated setups, especially with the introduction of the Compute Express Link (CXL) technology, where byte-addressable ersistent memory (PM) is becoming prominent. To fully utilize the potential of such devices, it is a necessity to access them through network stacks with equivalently high levels of performance (e.g., kernel-bypass, RDMA). While, these advancements are enabling the development of high-performance data management systems, their deployment on untrusted cloud environments also increases the security threats.
To this end, we present Anchor, a library for building secure PM systems. Anchor provides strong hardware-assisted security properties, while ensuring crash consistency. Anchor exposes APIs for secure data management within the realms of the established PM programming model, targeting byte-addressable storage devices. Anchor leverages trusted execution environments (TEE) and extends their security properties on PM. While TEE's protected memory region provides a strong foundation for building secure systems, the key challenge is that: TEEs are fundamentally incompatible with PM and kernel-bypass networking approaches-in particular, TEEs are neither designed to protect untrusted non-volatile PM, nor the protected region can be accessed via an untrusted DMA connection.
To overcome this challenge, we design a PM engine that ensures strong security properties for the PM data, using confidential and authenticated PM data structures, while preserving crash consistency through a secure logging protocol. We further extend the PM engine to provide remote PM data operations via a secure network stack and a formally verified remote attestation protocol to form an end-to-end system. Our evaluation shows that Anchor incurs reasonable overheads, while providing strong security properties.
Lightweight Materialization for Fast Dashboards Over Joins
Authors: Huang Zezhou , Wu Eugene 
Published: December 2023

Dashboards are vital in modern business intelligence tools, providing non-technical users with an interface to access comprehensive business data. With the rise of cloud technology, there is an increased number of data sources to provide enriched contexts for various analytical tasks, leading to a demand for interactive dashboards over a large number of joins. Nevertheless, joins are among the most expensive operations in DBMSes, making the support of interactive dashboards over joins challenging.
In this paper, we present Treant, a dashboard accelerator for queries over large joins. Treant uses factorized query execution to handle aggregation queries over large joins, which alone is still insufficient for interactive speeds. To address this, we exploit the incremental nature of user interactions using Calibrated Junction Hypertree (CJT), a novel data structure that applies lightweight materialization of the intermediates during factorized execution. CJT ensures that the work needed to compute a query is proportional to how different it is from the previous query, rather than the overall complexity. Treant manages CJTs to share work between queries and performs materialization offline or during user "think-times." Implemented as a middleware that rewrites SQL, Treant is portable to any SQL-based DBMS. Our experiments on single node and cloud DBMSes show that Treant improves dashboard interactions by two orders of magnitude, and provides 10x improvement for ML augmentation compared to SOTA factorized ML system.
MOST: Model-Based Compression with Outlier Storage for Time Series Data
Authors: Yang Zehai , Chen Shimin 
Published: December 2023

Time series data are used in a wide variety of applications. The explosive growth of the amount of time series data poses a significant challenge in efficient data storage and query processing. Unfortunately, existing compression techniques either show only low to medium compression ratio on time series data, or incur significant decompression overhead during query processing.
We propose a novel compression technique, MOST (Model-based compression with Outlier STorage) for time series data. As measurement values often change smoothly in a period of time, we divide a time series into segments of smooth changes, then compute a linear model for each segment. Since tiny errors are often acceptable in analysis tasks, we omit data points whose computed values are within a pre-specified error threshold from the actual values, thereby effectively reducing the data size. Outliers are rare but important for many applications, and therefore we store outliers explicitly. Moreover, for processing MOST compressed data, we propose a segment-outlier dual-mode query engine that computes segments as a whole as much as possible, and build a prototype MostDB. Experimental results on real-world data sets show that MOST achieves 9.45-15.04x compression ratios. Compared to existing time series databases, MostDB achieves up to 11.68x speedups for common queries from the IoTDB Benchmark.
R2D2: Reducing Redundancy and Duplication in Data Lakes
Authors: Shah Raunak , Mukherjee Koyel , Tyagi Atharv , Karnam Sai Keerthana , Joshi Dhruv , Bhosale Shivam Pravin , Mitra Subrata 
Published: December 2023

Enterprise data lakes often suffer from substantial amounts of duplicate and redundant data, with data volumes ranging from terabytes to petabytes. This leads to both increased storage costs and unnecessarily high maintenance costs for these datasets. In this work, we focus on identifying and reducing redundancy in enterprise data lakes by addressing the problem of "dataset containment". To the best of our knowledge, this is one of the first works that addresses table-level containment at a large scale.
We propose R2D2: a three-step hierarchical pipeline that efficiently identifies almost all instances of containment by progressively reducing the search space in the data lake. It first builds (i) a schema containment graph, followed by (ii) statistical min-max pruning, and finally, (iii) content level pruning. We further propose minimizing the total storage and access costs by optimally identifying redundant datasets that can be deleted (and reconstructed on demand) while respecting latency constraints.
We implement our system on Azure Databricks clusters using Apache Spark for enterprise data stored in ADLS Gen2, and on AWS clusters for open-source data. In contrast to existing modified baselines that are inaccurate or take several days to run, our pipeline can process an enterprise customer data lake at the TB scale in approximately 5 hours with high accuracy. We present theoretical results as well as extensive empirical validation on both enterprise (scale of TBs) and open-source datasets (scale of MBs - GBs), which showcase the effectiveness of our pipeline.
Agents of Autonomy: A Systematic Study of Robotics on Modern Hardware
Authors: Bakhshalipour Mohammad , Gibbons Phillip B. 
Published: December 2023

As robots increasingly permeate modern society, it is crucial for the system and hardware research community to bridge its long-standing gap with robotics. This divide has persisted due to the lack of (i) a systematic performance evaluation of robotics on different computing platforms and (ii) a comprehensive, open-source, cross-platform benchmark suite.
To address these gaps, we present a systematic performance study of robotics on modern hardware and introduce RoWild, an open-source benchmark suite for robotics that is comprehensive and cross-platform. Our workloads encompass a broad range of robots, including driverless vehicles, pilotless drones, and stationary robotic arms, and we evaluate their performance on a spectrum of modern computing platforms, from low-end embedded CPUs to high-end server-grade GPUs. The source code of the benchmark suite is available in https://cmu-roboarch.github.io/rowild/.
Our findings reveal that current architectures experience significant inefficiencies when executing robotic workloads, highlighting the need for architectural advancements that satisfy the primary requirements of robotic tasks. We discuss approaches for meeting these requirements, offering insights for improving the performance of robotics.
Transcriptional Plasticity Drives IMiD and p300 Inhibitor Resistance in Multiple Myeloma
Authors: Yun Seongseok , Cleveland John L. 
Published: December 2023

Summary:In this issue of Blood Cancer Discovery, Neri, Barwick, and colleagues and Welsh, Barwick, and colleagues performed RNA sequencing, chromatin immunoprecipitation sequencing, assay for transposase-accessible chromatin using sequencing, and genetic studies to characterize the underlying mechanisms of immunomodulatory drug (IMiD) resistance in multiple myeloma. They demonstrated that IMiD resistance is driven by sustained expression of MYC and IRF4 via transcriptional plasticity that involves induction of ETV4 and BATF proteins, the binding of these proteins to their super-enhancers, and the recruitment of BRD4 and p300. Finally, these studies suggest IMiD and p300 inhibitor combination as a promising therapeutic strategy in multiple myeloma.See related article by Neri, Barwick, et al., p. 56 (9).See related article by Welsh, Barwick, et al., p. 34 (10).
Dynamics of Endothelial Cell Generation and Turnover in Arteries During Homeostasis and Diseases
Authors: Li Yi , Liu Zixin , Han Ximeng , Liang Feng , Zhang Qianyu , Huang Xiuzhen , Shi Xin , Huo Huanhuan , Han Maoying , Liu Xiuxiu , Zhu Huan , He Lingjuan , Shen Linghong , Hu Xinyang , Wang Jian’an , Wang Qing-Dong , Smart Nicola , Zhou Bin , He Ben 
Published: December 2023

BACKGROUND:
Endothelial cell (EC) generation and turnover by self-proliferation contributes to vascular repair and regeneration. The ability to accurately measure the dynamics of EC generation would advance our understanding of cellular mechanisms of vascular homeostasis and diseases. However, it is currently challenging to evaluate the dynamics of EC generation in large vessels such as arteries because of their infrequent proliferation.

METHODS:
By using dual recombination systems based on Cre-loxP and Dre-rox, we developed a genetic system for temporally seamless recording of EC proliferation in vivo. We combined genetic recording of EC proliferation with single-cell RNA sequencing and gene knockout to uncover cellular and molecular mechanisms underlying EC generation in arteries during homeostasis and disease.

RESULTS:
Genetic proliferation tracing reveals that ≈3% of aortic ECs undergo proliferation per month in adult mice during homeostasis. The orientation of aortic EC division is generally parallel to blood flow in the aorta, which is regulated by the mechanosensing protein Piezo1. Single-cell RNA sequencing analysis reveals 4 heterogeneous aortic EC subpopulations with distinct proliferative activity. EC cluster 1 exhibits transit-amplifying cell features with preferential proliferative capacity and enriched expression of stem cell markers such as Sca1 and Sox18. EC proliferation increases in hypertension but decreases in type 2 diabetes, coinciding with changes in the extent of EC cluster 1 proliferation. Combined gene knockout and proliferation tracing reveals that Hippo/vascular endothelial growth factor receptor 2 signaling pathways regulate EC proliferation in large vessels.

CONCLUSIONS:
Genetic proliferation tracing quantitatively delineates the dynamics of EC generation and turnover, as well as EC division orientation, in large vessels during homeostasis and disease. An EC subpopulation in the aorta exhibits more robust cell proliferation during homeostasis and type 2 diabetes, identifying it as a potential therapeutic target for vascular repair and regeneration.
Impact of Sodium‐Glucose Cotransporter 2 Inhibitor on Recurrence After Catheter Ablation for Atrial Fibrillation in Patients With Diabetes: A Propensity‐Score Matching Study and Meta‐Analysis
Authors: Zhao Zixu , Jiang Chao , He Liu , Zheng Shiyue , Wang Yufeng , Gao Mingyang , Lai Yiwei , Zhang Jingrui , Li Mingxiao , Dai Wenli , Zuo Song , Guo Xueyuan , Li Songnan , Jiang Chenxi , Liu Nian , Tang Ribo , Long Deyong , Du Xin , Sang Caihua , Dong Jianzeng , Ma Changsheng 
Published: December 2023

Background
The association between sodium‐glucose cotransporter 2 inhibitors (SGLT2i) and atrial fibrillation (AF) recurrence after catheter ablation among patients with diabetes and AF remains unclear.

Methods and Results

Patients with AF undergoing initial catheter ablation with a history of diabetes from the China AF registry were included. Patients using SGLT2i were identified and matched by propensity score with non‐SGLT2i patients in a 1:3 ratio. The main outcome was AF recurrence during the 18‐month follow‐up. A total of 138 patients with diabetes with SGLT2i therapy and 387 without SGLT2i were analyzed. AF recurrence occurred in 37 patients (26.8%) in the SGLT2i group and 152 patients (39.3%) in the non‐SGLT2i group during a total of 593.3 person‐years follow‐up. The SGLT2i group was associated with lower AF recurrence compared with the non‐SGLT2i group (hazard ratio, 0.63 [95% CI, 0.44–0.90],
P
=0.007). A total of 4 studies were analyzed in our meta‐analysis demonstrating that SGLT2i was associated with lower AF recurrence after catheter ablation (odds ratio, 0.61 [95% CI, 0.54–0.69];
P
<0.001,
I
2
=0.0%).

Conclusions
Our prospective study coupled with a meta‐analysis demonstrated a lower risk of AF recurrence with the use of SGLT2i among patients with diabetes after AF ablation.
Spontaneous Coronary Artery Dissection Across the Health Care Pathway: A National, Multicenter, Patient‐Informed Investigation
Authors: Bouchard Karen , Lalande Kathleen , Coutinho Thais , Mulvagh Sharon , Pacheco Christine , Liu Shuangbo , Saw Jacqueline , So Derek , Reed Jennifer L. , Chiarelli Alexandra , Stragapede Elisa , Robert Helen , Lappa Nadia , Sun Louise , Wells George , Tulloch Heather 
Published: December 2023

Background
Clinical practice guidelines for the management and convalescence of patients with spontaneous coronary artery dissection (SCAD) have yet to be developed. The targeted content, delivery, and outcomes of interventions that benefit this population remain unclear. Patient‐informed data are required to substantiate observational research and provide evidence to inform and standardize clinical activities.

Methods and Results
Patients diagnosed with SCAD (N=89; 86.5% women; mean age, 53.2 years) were purposively selected from 5 large tertiary care hospitals. Patients completed sociodemographic and medical questionnaires and participated in an interview using a patient‐piloted semistructured interview guide. Interviews were transcribed and subjected to framework analysis using inductive and then deductive coding techniques. Approximately 1500 standard transcribed pages of interview data were collected. Emotional distress was the most commonly cited precipitating factor (56%), with an emphasis on anxiety symptoms. The awareness and detection of SCAD as a cardiac event was low among patients (35%) and perceived to be moderate among health care providers (55%). Health care providers' communication of the prognosis and self‐management of SCAD were perceived to be poor (79%). Postevent psychological disorders among patients were evident (30%), and 73% feared recurrence. Short‐ and longer‐term follow‐up that was tailored to patients' needs was desired (72%). Secondary prevention programming was recommended, but there were low completion rates of conventional cardiac rehabilitation (48%), and current programming was deemed inadequate.

Conclusions
This early‐stage, pretrial research has important implications for the acute and long‐term management of patients with SCAD. Additional work is required to validate the hypotheses generated from this patient‐oriented research.
Tantra Ducks and Zen Bunnies
Authors: Licha Stephan Kigensan 
Published: December 2023

Abstract
This paper reconsiders the relationship between esoteric or tantric Buddhism and Zen in premodern Japan. Taking the teachings of Enni 圓爾 (1202–1280) and early modern Sōtō lore as its examples, as well as an adapted version of Wittgenstein’s concept of “seeing-as” as its methodological guideline, the paper argues that the categories of “esoteric Buddhism” and “Zen” themselves should be treated as discursively constructed. From this point of view, the scholarly desideratum is to undertake the genealogical elucidation of the process of their construction. The paper concludes that “esoteric Zen” should be considered a family of strategic, discursive practices predicated on acts of “seeing-as” and their subsequent sedimentation through repetition.
Colonization of Asian freshwaters by the Mytilidae (Bivalvia): a comparison of Sinomytilus harmandi from the Tonle-Sap River, Phnom Penh, Cambodia, with Limnoperna fortunei
Authors: MORTON BRIAN , DINESEN GRETE E. 
Published: December 2023

Sinomytilus harmandi occurs in the lakes and rivers of Indochina, notably in Cambodia, Laos, Thailand and Vietnam and, again notably, the Mekong River and its myriad tributaries. Hitherto, this species and its four junior synonyms have been examined only superficially. Because of an interior shell septum, S. harmandi was originally assigned to the Dreissenidae (Bivalvia: Heterodonta), an anatomically distinct family naturally restricted to Europe and the Americas. In addition to S. harmandi, a secondspecies of mytilid mussel, Limnoperna fortunei, also occurs in Asian freshwater systems and both belong to the Mytilidae (Pteriomorphia), as demonstrated in this study for S. harmandi and elsewhere for L. fortunei. Sinomytilus harmandi is likely endemic to the Mekong River where it is sympatric with L. fortunei, the latter species being widely distributed in Indochina, south of and including the Yangtse River in China. Limnoperna fortunei is a highly opportunistic species that has been introduced into many locations outside its mainland Chinese borders, for example, Japan, Taiwan and South America. We suggest the possibility that L. fortunei has also been introduced into tropical Indochina from China. Because L. fortunei has a Devonian (~345-395 mya) modioline ancestry and S. harmandi is derived from a Permo-Trias (~265–225 mya) ancient mytiline ancestor it appears that Asian freshwater systems have been colonized by representatives of the Mytilidae on two separate temporal occasions.
Searching for the Most Extreme Temperature Events in Recent History
Authors: Cattiaux Julien , Ribes Aurélien , Thompson Vikki 
Published: December 2023

Abstract
Because they are rare, extreme weather events have critical impacts on societies and ecosystems and attract public and scientific attention. The most unusual events are regularly documented as part of routine climate monitoring by meteorological services. A growing number of attribution studies also aim at quantifying how their probability has evolved under human-induced climate change. However, it is often recognized that (i) the selection of studied events is geographically uneven, and (ii) the definition of a given event, in particular, its spatiotemporal scale, is subjective, which may impact attribution statements. Here we present an original method that objectively selects, defines, and compares extreme events that have occurred worldwide in the recent years. Building on previous work, the event definition consists of automatically selecting the spatiotemporal scale that maximizes the event rarity, accounting for the nonstationary context of climate change. We then explore all years, seasons, and regions and search for the most extreme events. We demonstrate how our searching procedure can be both useful for climate monitoring over a given territory, and resolve the geographical selection bias of attribution studies. Ultimately, we provide a selection of the most exceptional hot and cold events in the recent past, among which are iconic heatwaves such as those seen in 2021 in Canada and in 2003 in Europe.
Assessing cultural intelligence among health education specialists
Authors: Luquis Raffy R , Perez Miguel A 
Published: December 2023

Objective: Over the past three decades, cultural competence has been widely promoted in the health disciplines, including in health education and promotion, as a tool to address health disparities and promote health equity among diverse populations. Cultural intelligence (CQ), or the individual’s capability to adjust to cultural situations based on multiple factors including cognitive, metacognitive, motivational and behavioural characteristics, can be another useful tool when addressing the needs of diverse groups. The goal of this study was to assess the level of CQ among health education specialists and its relationship with cultural competence skills (CCS) among members of this group. Design: Five hundred and forty randomly selected health education specialists in the USA completed an online survey. The survey included questions to assess CQ, CCS and demographic information. Descriptive statistics and analysis of variance were used to analyse the data. Results: Results from the study showed that there was a significant variation in CQ among health education specialists based on race/ethnicity, education, the percentage of cultural/racial/ethnic diverse people they serve, and participation in professional development training. There was also a positive correlation between CQ and CCS, and between each of the CQ capabilities and CCS. Finally, both CQ metacognitive and cognitive capabilities were significant predictors of the overall CCS score. Conclusion: Findings from this study showed that CQ is associated with CCS among health education specialists. The results of the study suggest that health education specialists should consider CQ a useful tool with which to increase CCS.
Acute kidney injury during extracorporeal life support in cardiogenic shock: Does flow matter?
Authors: Vaynrub Anna , Ning Yuming , Kurlansky Paul , Wang Amy S , Beck James , Fried Justin A , Takeda Koji 
Published: December 2023

Background This study examines the role of extracorporeal life support flow in the development of acute kidney injury in cardiogenic shock. Methods We performed a retrospective analysis of 465 patients placed on extracorporeal life support at our institution between January 2015 and December 2020 for cardiogenic shock. Flow index was calculated by dividing mean flow by body surface. Stages of acute kidney injury were determined according to Kidney Disease: Improving Global Outcomes (KDIGO) organization guidelines. Results There were 179 (38.5%) patients who developed acute kidney injury, 63.1% of which were classified as Stage 3--the only subgroup associated with 1-year mortality (hazard ratio = 2.03, p < .001). Risk of kidney injury increased up to a flow index of 1.6 L/min/m2, and kidney injury was more common among patients with flow index greater than 1.6 L/min/m2 ( p = .034). Those with kidney injury had higher baseline lactate levels (4.4 vs 3.1, p = .04), and Stage 3 was associated wit higher baseline creatinine ( p < .001). Conclusions In our cohort, kidney injury was common and Stage 3 kidney injury was associated with worse outcomes compared to other stages. Low flow was not associated with increased risk of kidney injury. Elevated baseline lactate and creatinine among patients with acute kidney injury suggest underlying illness severity, rather than flow, may influence kidney injury risk.