bluuebunny/crossref_metadata_2025_split huggingface dataset:
The 20-Year Diagnostic Odyssey of a Milder Form of Cerebrotendinous Xanthomatosis
Authors: Guay Simon-Pierre , Paquette Martine , Poulin Valérie , Levtova Alina , Baass Alexis , Bernard Sophie 
Published: January 2024

Abstract
Tendinous xanthomas are usually a sign of genetic dyslipidemias and are said to be pathognomonic for familial hypercholesterolemia. However, the differential diagnosis must also include rarer forms of genetic dyslipidemias such as cerebrotendinous xanthomatosis (CTX). In this report, we present the diagnostic odyssey of a French-Canadian patient presenting with Achilles tendon xanthomas and an unusual mild to moderate hypercholesterolemia. Comprehensive biochemical and genetic investigations confirmed the diagnosis of CTX, 20 years after the onset of her first symptoms. We also describe a new variant in the CYP27A1 gene associated with this atypical case and expand the clinical phenotype of this rare genetic condition. CTX is thought to be underdiagnosed, and early diagnosis and treatment of this disease is essential as it has been shown to greatly improve the patient's symptoms and prognosis.
Social and Metabolic Characteristics Associated With Multiple DKA Admissions at a Large County Hospital
Authors: Peedikayil Josh , Reddy Shrenika , Nair Rohit , Gunasekaran Uma , Nelson Carolyn , Shakoor Musa , Ahmad Zahid 
Published: January 2024

Abstract

Context
Diabetic ketoacidosis (DKA) is a preventable, deadly, and costly complication of type 1 diabetes mellitus (T1DM). Some individuals with T1DM have recurrent DKA admissions.

Objective
We sought to characterize social factors that differ between patients with single vs multiple DKA admissions at an urban, safety-net hospital.

Methods
We queried the electronic health records for T1DM patients admitted for DKA from 2019 to 2021. Admission laboratory values, demographic information, and detailed social histories were collected and analyzed statistically, including logistical regression.

Results
A total of 243 patients were admitted for DKA, 64 of whom had multiple DKA admissions. There was no significant difference between the groups in their admission laboratory values, hospital length of stay, health-care payer status, history of homelessness, current employment, living alone, independence of activities of daily living, and barriers to discharge. T1DM patients with multiple DKA admissions had greater rates of substance use disorder (33.0% vs 60.9%; P &lt; .001), especially with cannabis (6.7% vs 25.0%; P &lt; .001), tobacco (26.3% vs 46.3%; P = .002), and psychoactive substance use (1.1% vs 6.3%; P = .043). Regression models of substance use showed increased risk with any substance use (odds ratio [CI] 3.17 [1.78-5.73]; P &lt; .001) and cannabis (3.70 [1.55-8.83]; P = .003).

Conclusion
We identified substance use as a possible predictor of T1DM patients at risk for multiple DKA admissions. Our findings identify a group of T1DM patients for whom interventions may help to decrease recurrence of DKA episodes within similar community hospital populations.
Phenotype of Parathyroid-targeted Cdc73 Deletion in Mice Is Strain-dependent
Authors: Costa-Guda Jessica , Cohen Sarah T , Romano Robert , Acostamadiedo Jennifer , Clark Kevin , Bellizzi Justin , Arnold Andrew 
Published: January 2024

Abstract
Hyperparathyroidism jaw-tumor syndrome is an autosomal dominant disorder caused by mutations in the CDC73/HRPT2 tumor suppressor gene, encoding parafibromin, and manifesting benign or malignant parathyroid tumors, ossifying jaw fibromas, uterine tumors, and kidney lesions. Sporadic parathyroid carcinomas also frequently exhibit inactivating CDC73 mutations and loss of parafibromin. To study the role of CDC73 in parathyroid cell proliferation in vivo, we generated mice with a parathyroid-specific deletion of Cdc73. Homozygous knockout mice on a mixed B6/129/CD1 background had decreased serum calcium and PTH and smaller parathyroid glands compared with heterozygous or wild-type littermates, whereas homozygous Cdc73-null mice on other backgrounds exhibited no abnormalities in parathyroid gland function or development. No hypercalcemia or parathyroid hypercellularity was observed in mice of any background examined at any age. Thus, although postnatally acquired complete loss of CDC73 causes parathyroid cell proliferation and hyperparathyroidism, such as seen in human hyperparathyroidism jaw-tumor syndrome, our results suggest that earlier, developmentally imposed complete loss of Cdc73 can cause a primary defect in parathyroid gland structure/function in a strain-dependent manner. This striking disparity in parathyroid phenotype related to genetic background offers a unique opportunity in an in vivo model system to precisely dissect and identify the responsible molecular mechanisms.
Mitral valve prolapse syndrome
Authors: Sanecki Miłosz , Jurasz Karolina , Podgórska Dominika , Tomczyk Karolina , Chojnacka Natalia , Rzeska Ewa , Klarycki Jakub , Cymer Radosław 
Published: January 2024

Mitral valve prolapse is a common valvular defect. In its overt clinical form, the condition known as mitral valve leaflet prolapse syndrome, or also known as Barlow's syndrome or flaccid valve syndrome, is a significant clinical problem, worsening the quality of life of patients, and in its severe forms is a risk factor for diseases such as congestive heart failure, endocarditis or cardiac arrhythmias, or even lead to death from sudden cardiac death.
The development of methods, as well as the increasing general availability of echocardiography methods, makes a specific diagnosis early enough to allow the right treatment strategy to be chosen.
Thanks to reliable reports in recent years, it has been possible to identify a group of patients whose cardiovascular risk predisposes them to a more severe course of the disease and thus these patients require special observation and attention in the process of diagnosis and treatment.
Recent years have allowed the development of a new method of interventional treatment in patients burdened with multimorbidity for whom conventional surgery would be associated with a significant risk of worsening of the general condition.
Anemia amongst patients with heart failure - a review
Authors: Burek Dawid , Paszkowska Aleksandra , Kujawa Aleksandra , Matuszewska Urszula , Nykowska Aleksandra , Beutler Katarzyna , Bijata Bartosz 
Published: January 2024

Introduction
Anemia and iron deficiency are common comorbidities in population with heart failure. Their association with unfavorable prognostic outcomes and diminished quality of life underscores the imperative need for accurate diagnosis and efficacious treatment interventions. In recent years numerous treatment options have been explored in clinical trials, aimed at addressing the multifaced aspects of these concurrent conditions.
Summary
In patients with heart failure effective treatment of anemia and iron deficiency has demonstrated enhancements in quality of life and exercise capacity. Findings from IRONMAN clinical study have prompted revisions in the latest guidelines from the European Society of Cardiology. The imminent release of results from two ongoing trials holds the potential to reshape the therapeutic landscape for treating individuals with heart failure and iron deficiency. Nevertheless, there is no explicit evidence that studied interventions could improve morbidity or risk of hospitalizations.
Chinese Consumers’ Attitudes Toward Certified Wood Products
Authors: Liu Lijun , Sun Xiufang , Hammett A. L. 
Published: January 2024

Abstract
While environmental nongovernmental organizations (NGOs) have been active in China in promoting forest certification, Chinese consumers’ perceptions of certified wood products in the marketplace are unclear. A survey focused on consumers’ wood-product consumption patterns was conducted in three cities—Beijing, Guangzhou, and Shanghai—from July to August 2015. This study used data from the survey to assess urban Chinese consumers’ attitudes toward certified wood products and the demographic differences affecting these attitudes. Regression analysis was conducted to test whether consumers’ social-economic characteristics link with their attitudes toward certified wood. We found mixed correlations between these consumers’ attitudes and their demographics and positive correlations between their attitudes and exposure to environmental campaigns and environmental education. The results from this study will improve the understanding of Chinese consumers’ attitudes toward certified wood products and help producers and marketers better understand the market potential for certified products and more efficiently meet consumers’ needs. This study will also help NGOs interested in conservation to develop their future programs in China.
Defending Islam Action and Its Impact on the Local Islamic Conservatism Movement in West Sumatra
Authors: Zulfadli Zulfadli 
Published: January 2024

The massive demonstrations as part of the Defending Islam Action against Ahok in 2016 have had a broad impact on the dynamics of contemporary Indonesian politics. The event has not only created socio-political polarization in society but also seeped into local political dynamics in West Sumatra. So far, most studies have focused on the motives and causal factors of the Islamic defense action with its various implications, but there are still few studies that explain the influence of this action on the local Islamic conservatism movement in West Sumatra. Specifically, this study answers the question of how the influence of the Defending Islam Action on the local Islamic conservatism movement in West Sumatra after the 212 rally. A deep understanding of the development of Islamic conservatism in the local context can develop theories of Islamic conservatism in explaining the Islamic revival movement in Indonesia. This research uses a qualitative method by interviewing a number of actors of the local Islamic conservatism movement in West Sumatra. The results of this study show that the transformation of national politics in the issues of the Defending Islam Action has a significant impact on the local Islamic conservatism movement. The national political factor not only affects the local Islamic conservatism movement but also the proliferation of such movements locally, that are active in responding to social, political and religious issues. The national political factor followed by local political decentralization is a political opportunity for local Islamic conservatism groups to carry out conservative Islamic agendas in West Sumatra.
Mass Rearing of Foliar Nematode Aphlenchoides fragariae on Fungal Culture
Authors: Kurniawati Fitrianingrum , Supramana  , Hidayat Sri Hendrastuti , Tondok Efi Toding , Syafutra Heriyanto 
Published: January 2024

Nematoda daun Aphelenchoides fragariae mempunyai inang yang luas dan dapat berperan sebagai parasit tumbuhan maupun pemakan cendawan. Belum ada informasi terkait teknik perbanyakan A. fragariae di Indonesia. Penelitian untuk memperoleh jumlah nematoda A. fragariae yang murni perlu dilakukan untuk mendukung penelitian di masa mendatang. Penelitian ini bertujuan untuk memperbanyak A. fragariae menggunakan biakan cendawan pada tiga suhu yang berbeda dan menghitung jumlah nematoda. Biakan cendawan yang digunakan ialah, Alternaria porri, Botrytis cinerea, Fusarium oxysporum f. sp. cepae, Pythium sp., dan Rhizopus sp. Lima spesies cendawan tersebut diinkubasikan pada tiga suhu. Untuk memperoleh kondisi yang sesuai, biakan cendawan diinkubasi pada tiga suhu yang berbeda. Sebelum ditumbuhkan dalam biakan cendawan, nematoda dicelupkan ke dalam larutan streptomisin sulfat 0.1%, kemudian dicuci menggunakan air steril. Selanjutnya, 20 nematoda steril diinfestasikan pada biakan cendawan berumur 7 hari dan diinkubasi pada suhu 16, 28, dan 37 ℃. Setelah 28 hari, nematoda dipanen dan dihitung jumlahnya. Di antara spesies cendawan yang diuji sebagai media pemeliharaan, biakan terbaik untuk reproduksi A. fragariae ialah Alternaria porri pada suhu 28 ℃, dengan jumlah nematoda akhir rata-rata hingga 407.8 per cawan petri Pada suhu 37 ℃ A. fragariae gagal bereproduksi di semua biakan cendawan yang diuji. Hal ini menunjukkan bahwa di antara ketiga suhu tersebut, yang paling mendukung pertumbuhan dan perkembangan nematoda ialah 16 dan 28 ℃, yang paling tidak mendukung adalah 37 ℃.
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation
Authors: Chen Yuhan , Ye Haojie , Vedula Sanketh , Bronstein Alex , Dreslinski Ronald , Mudge Trevor , Talati Nishil 
Published: January 2024

Graph sparsification is a technique that approximates a given graph by a sparse graph with a subset of vertices and/or edges. The goal of an effective sparsification algorithm is to maintain specific graph properties relevant to the downstream task while minimizing the graph's size. Graph algorithms often suffer from long execution time due to the irregularity and the large real-world graph size. Graph sparsification can be applied to greatly reduce the run time of graph algorithms by substituting the full graph with a much smaller sparsified graph, without significantly degrading the output quality. However, the interaction between numerous sparsifiers and graph properties is not widely explored, and the potential of graph sparsification is not fully understood.
In this work, we cover 16 widely-used graph metrics, 12 representative graph sparsification algorithms, and 14 real-world input graphs spanning various categories, exhibiting diverse characteristics, sizes, and densities. We developed a framework to extensively assess the performance of these sparsification algorithms against graph metrics, and provide insights to the results. Our study shows that there is no one sparsifier that performs the best in preserving all graph properties, e.g. sparsifiers that preserve distance-related graph properties (eccentricity) struggle to perform well on Graph Neural Networks (GNN). This paper presents a comprehensive experimental study evaluating the performance of sparsification algorithms in preserving essential graph metrics. The insights inform future research in incorporating matching graph sparsification to graph algorithms to maximize benefits while minimizing quality degradation. Furthermore, we provide a framework to facilitate the future evaluation of evolving sparsification algorithms, graph metrics, and ever-growing graph data.
GPU Database Systems Characterization and Optimization
Authors: Cao Jiashen , Sen Rathijit , Interlandi Matteo , Arulraj Joy , Kim Hyesoon 
Published: January 2024

GPUs offer massive parallelism and high-bandwidth memory access, making them an attractive option for accelerating data analytics in database systems. However, while modern GPUs possess more resources than ever before (e.g., higher DRAM bandwidth), efficient system implementations and judicious resource allocations for query processing are still necessary for optimal performance. Database systems can save GPU runtime costs through just-enough resource allocation or improve query throughput with concurrent query processing by leveraging new GPU resource-allocation capabilities, such as Multi-Instance GPU (MIG).In this paper, we do a cross-stack performance and resource-utilization analysis of four GPU database systems, including Crystal (the state-of-the-art GPU database, performance-wise) and TQP (the latest entry in the GPU database space). We evaluate the bottlenecks of each system through an in-depth microarchitectural study and identify resource underutilization by leveraging the classic roofline model. Based on the insights gained from our investigation, we propose optimizations for both system implementation and resource allocation, using which we are able to achieve 1.9x lower latency for single-query execution and up to 6.5x throughput improvement for concurrent query execution.
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning
Authors: Zhang Xinyi , Wu Hong , Li Yang , Tang Zhengju , Tan Jian , Li Feifei , Cui Bin 
Published: January 2024

In recent years, a wide spectrum of database tuning systems have emerged to automatically optimize database performance. However, these systems require a significant number of workload runs to deliver a satisfactory level of database performance, which is time-consuming and resource-intensive. While many attempts have been made to address this issue by using advanced search optimizers, empirical studies have shown that no single optimizer can dominate the rest across tuning tasks with different characteristics. Choosing an inferior optimizer may significantly increase the tuning cost. Unfortunately, current practices typically adopt a single optimizer or follow simple heuristics without considering the task characteristics. Consequently, they fail to choose the most suitable optimizer for a specific task. Furthermore, constructing a compact search space can significantly improve the tuning efficiency. However, current practices neglect the setting of the value range for each knob and rely on a large number of workload runs to select important knobs, resulting in a considerable amount of unnecessary exploration in ineffective regions.
To pursue efficient database tuning, in this paper, we argue that it is imperative to have an approach that can judiciously determine a precise space and search optimizer for an arbitrary tuning task. To this end, we propose OpAdviser, which exploits the information learned from historical tuning tasks to guide the search space construction and search optimizer selection. Our design can greatly accelerate the tuning process and further reduce the required workload runs. Given a tuning task, OpAdviser learns the geometries of search space, including important knobs and their effective regions, from relevant previous tasks. It then constructs the target search space from the geometries according to the on-the-fly task similarity, which allows for adaptive adjustment of the target space. OpAdviser also employs a pairwise ranking model to capture the relationship from task characteristics to optimizer rankings. This ranking model is invoked during tuning and predicts the best optimizer to be used for the current iteration. We conduct extensive evaluations across a diverse set of workloads, where OpAdviser achieves 9.2% higher throughput and significantly reduces the number of workload runs with an average speedup of ~3.4x compared to state-of-the-art tuning systems.
Co-Movement Pattern Mining from Videos
Authors: Zhang Dongxiang , Ma Teng , Hu Junnan , Bei Yijun , Tan Kian-Lee , Chen Gang 
Published: January 2024

Co-movement pattern mining from GPS trajectories has been an intriguing subject in spatial-temporal data mining. In this paper, we extend this research line by migrating the data source from GPS sensors to surveillance cameras, and presenting the first investigation into co-movement pattern mining from videos. We formulate the new problem, re-define the spatial-temporal proximity constraints from cameras deployed in a road network, and theoretically prove its hardness. Due to the lack of readily applicable solutions, we adapt existing techniques and propose two competitive baselines using Apriori-based enumerator and CMC algorithm, respectively.As the principal technical contributions, we introduce a novel index called temporal-cluster suffix tree (TCS-tree), which performs two-level temporal clustering within each camera and constructs a suffix tree from the resulting clusters. Moreover, we present a sequence-ahead pruning framework based on TCS-tree, which enables the concurrent utilization of all pattern constraints to filter candidate paths. Finally, to reduce verification cost on the candidate paths, we propose a sliding-window based co-movement pattern enumeration strategy and a hashing-based dominance eliminator, both of which are effective in avoiding redundant operations.We conduct extensive experiments for scalability and effectiveness analysis. Our results validate the efficiency of the proposed index and mining algorithm, which runs remarkably faster than the two baseline methods. Additionally, we construct a video database with 1169 cameras and perform an end-to-end pipeline analysis to study the performance gap between GPS-driven and video-driven methods. Our results demonstrate that the derived patterns from the video-driven approach are similar to those derived from groundtruth trajectories, providing evidence of its effectiveness.
Heart rate variability is reduced in COVID‐19 survivors and associated with physical activity and fatigue
Authors: Haischer Michael H. , Opielinski Lauren E. , Mirkes Lindsey M. , Uhrich Toni D. , Bollaert Rachel E. , Danduran Michael , Bement Marie Hoeger , Piacentine Linda B. , Papanek Paula E. , Hunter Sandra K. 
Published: January 2024

AbstractReduced heart rate variability (HRV) and fatigue are common after COVID‐19 infection and both are potentially influenced by physical activity (PA). We compared resting HRV, PA from accelerometers and questionnaires, and self‐reported fatigue in 41 COVID‐19 survivors (~8 months postinfection, 38 ± 17 years) with 41 matched controls. Differences in HRV were observed on acceleration capacity (p = 0.041), deceleration capacity (p = 0.032), high‐frequency peak frequency (p = 0.019), absolute low‐frequency power (p = 0.042), relative very low‐frequency power (p = 0.012), SD2 (from Poincare plot; p = 0.047), and DFA2 (slope of long‐term detrended fluctuation analysis; p = 0.004). Fatigue was greater in COVID‐19 survivors (p < 0.001) with no differences in PA. Moderate‐vigorous physical activity (MVPA) (Standardized Beta = −0.427, p = 0.003) and steps per day (Standardized Beta = −0.402, p = 0.007) were associated with DFA2 in COVID‐19 survivors after controlling for age, sex, and body fat percentage. Fatigue was correlated to less MVPA (Spearman's rho = 0.342, p = 0.031) and fewer steps per day (rho = 0.329, p = 0.038) in COVID‐19 survivors, and was indirectly linked to HRV through these PA mediators (Estimate = −0.20; p = 0.040). We present a model showing the complex relations between HRV, PA, and fatigue that provides the foundation for strategies to improve outcomes and rehabilitation after COVID‐19 infection.
Influence of vibratory conveyor design parameters on the trough motion and the self-synchronization of inertial vibrators
Authors: Cieplok Grzegorz 
Published: January 2024

Abstract
A spatial model of a vibratory conveyor supported on steel-elastomer vibration isolators and vibrated by two inertial vibrators is presented in this article. The results of analyses of the effect of the layout of vibrators on the operation of the conveyor are presented. Displacement of the line of action of vibrators resultant force beyond the machine mass center causes the drift of the trough movement from the desirable rectilinear motion and problems associated with the unevenness of material movement. Three main cases were analyzed in the article: the displacement of the center of mass of the machine body from the straight line of action of the resultant for the vibrators, rotation of the main axes of inertia of the conveyor body in the working plane of the conveyor, and the oblique-angular resonance. The model presented in this article is used to consider coupling between vibrators and the body of the machine, which is responsible for the process of self-synchronization of the vibrators and the correctness of machine operation. The results of the theoretical analyses presented in this article were verified by laboratory tests and references to observations based on the authors’ industrial experience.