bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accelerating Aggregation Queries on Unstructured Streams of Data
Authors: Russo Matthew , Hashimoto Tatsunori , Kang Daniel , Sun Yi , Zaharia Matei 
Published: August 2023

Analysts and scientists are interested in querying streams of video, audio, and text to extract quantitative insights. For example, an urban planner may wish to measure congestion by querying the live feed from a traffic camera. Prior work has used deep neural networks (DNNs) to answer such queries in the batch setting. However, much of this work is not suited for the streaming setting because it requires access to the entire dataset before a query can be submitted or is specific to video. Thus, to the best of our knowledge, no prior work addresses the problem of efficiently answering queries over multiple modalities of streams.
In this work we propose InQuest, a system for accelerating aggregation queries on unstructured streams of data with statistical guarantees on query accuracy. InQuest leverages inexpensive approximation models ("proxies") and sampling techniques to limit the execution of an expensive high-precision model (an "oracle") to a subset of the stream. It then uses the oracle predictions to compute an approximate query answer in real-time. We theoretically analyzed InQuest and show that the expected error of its query estimates converges on stationary streams at a rate inversely proportional to the oracle budget. We evaluated our algorithm on six real-world video and text datasets and show that InQuest achieves the same root mean squared error (RMSE) as two streaming baselines with up to 5.0x fewer oracle invocations. We further show that InQuest can achieve up to 1.9x lower RMSE at a fixed number of oracle invocations than a state-of-the-art batch setting algorithm.
Sieve: A Learned Data-Skipping Index for Data Analytics
Authors: Tong Yulai , Liu Jiazhen , Wang Hua , Zhou Ke , He Rongfeng , Zhang Qin , Wang Cheng 
Published: August 2023

Modern data analytics services are coupled with external data storage services, making I/O from remote cloud storage one of the dominant costs for query processing. Techniques such as columnar block-based data organization and compression have become standard practices for these services to save storage and processing cost. However, the problem of effectively skipping irrelevant blocks at low overhead is still open. Existing data-skipping efforts maintain lightweight summaries (e.g., min/max, histograms) for each block to filter irrelevant data. However, such techniques ignore patterns in real-world data, enabling ineffective use of the storage budget and may cause serious false positives.
This paper presents Sieve, a learning-enhanced index designed to efficiently filter out irrelevant blocks by capturing data patterns. Specifically, Sieve utilizes piece-wise linear functions to capture block distribution trends over the key space. Based on the captured trends, Sieve trades off storage consumption and false positives by grouping neighboring keys with similar block distributions into a single region. We have evaluated Sieve using Presto, and experiments on real-world datasets demonstrate that Sieve achieves up to 80% reduction in blocks accessed and 42% reduction in query times compared to its counterparts.
Clinical use of bone markers: a challenge to variability
Authors: Filella Xavier , Guañabens Núria 
Published: August 2023

Abstract
Bone markers are a group of substances released into circulation during bone formation and/or resorption. These substances can be measured in blood and urine to obtain information about metabolic bone disorders. This review provides an insight into factors influencing bone marker variability and describes different approaches to minimize variability and interpret results appropriately. Variability in bone marker concentrations results from biological and analytical variability across assays. Other influencing factors include gender, age, physical exercise, circadian rhythm, and diet. The multiplicity of influencing factors hinders the establishment of accurate reference values. Gaining a deep understanding of bone marker variability is the first step to ascertain their clinical usefulness. Bone marker variability can be minimized by controlling as many variables as it is possible and through the standardization of patient preparation and sample collection and handling.
A high-gain dual-beam folded transmit-reflect-array antenna based on phase-shifting surface
Authors: Zhang Min , Tang Baiqing , Li Xin , Jiang Peng , Hu Wei , Jiang Wen , Gao Steven 
Published: August 2023

Abstract
In this paper, a high-gain dual-beam folded transmit-reflect-array antenna is designed based on the shared aperture method. It consists of the top transmit-reflect-array, the bottom transmitarray, and the feed horn located at the center of the bottom transmitarray. A phase-shifting surface is proposed as the transmission unit cell capable of transmitting incident waves while providing adequate transmission phase shift. The designed transmission unit cell is improved into the transmit-reflect unit cell by adding polarization grids to realize the reflection function. The bottom transmitarray is constructed by transmission unit cells. The top transmit-reflect-array is composed of transmit-reflect unit cells and polarization grids vertical to the unit cell. The x-polarized wave transmits through the top transmit-reflect-array and forms a pencil beam in the forward direction. In addition, the y-polarized wave is reflected by the top transmit-reflect-array and transmits through the bottom transmitarray to form a pencil beam in the backward direction. The tested realized gains of the transmitted beam and reflected beam at 10 GHz are 19.87 dBi with an aperture efficiency of 48.27 % and 23.95 dBi with an aperture efficiency of 30.88 %, respectively. With its low profile and ease of manufacture, it has great prospects for navigation and radar communication.
Comparative analysis of different empirical mode decomposition-kind algorithms on sea-level inversion by GNSS-MR
Authors: Jian Linghuo , Wang Xinpeng , Huang Shengxiang , Hao Haining , Zhang Xianyun , Yang Xiyuan 
Published: August 2023

Abstract
The rising sea level caused by global climate change might impact the human living environment. Global navigation satellite systems (GNSS)-multipath reflection (MR) technology holds significant potential for monitoring tide level changes. GNSS-MR technology typically employs low-order polynomials to extract the signal-to-noise ratio (SNR) residuals containing GNSS interference signals. It utilizes Lomb-Scargle (LSP) spectral analysis or empirical mode decomposition (EMD) to obtain the dominant frequency of the SNR residuals, which is then converted into tidal heights. However, as the satellite elevation angle increases, the GNSS interference signals decrease and the traditional method does not adapt well to the extraction of SNR residuals under such conditions. A series of improved EMD-kind algorithms, namely ensemble empirical mode decomposition (EEMD), complementary ensemble empirical mode decomposition (CEEMD), complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), and improved complete ensemble empirical mode decomposition with adaptive noise (ICEEDMAN), have been proposed to address the shortcomings of EMD algorithms such as end effect and mode aliasing. However, these improved EMD-kind algorithms have yet to be reported in sea level inversion. This study investigates the mitigation effects of EMD-kind algorithms on GNSS-MR direct signal and noise to improve the stability and accuracy of an SNR residual sequence with high satellite elevation angles. Experimental data from the HKQT station for one week and the SC02 station for one year are utilized to validate the effectiveness and accuracy of these algorithms in extracting SNR residuals. Compared to the traditional polynomial method, the experimental results demonstrate that all EMD-kind algorithms effectively address the distortion issue in traditional inversion methods under long periods, higher satellite elevation angles, and low GNSS receiver sampling rates. Among these algorithms, the results from the experiments show that ICEEMDAN consistently provides the best inversion accuracy. The results of the comparative analysis show that ICEEMDAN effectively reduces non-interference signals in SNR residuals at higher satellite elevation angles, expanding the useable range of satellite elevation angles and improving the utilization and temporal resolution of GNSS data inversion. Hence, it is an effective and appropriate approach to improving the accuracy of GNSS-MR tide level monitoring.
Aspar and Apollonius–religion and politics in choosing the eastern consul for 460 CE
Authors: Bleeker Ronald A. 
Published: August 2023

AbstractThis article takes a fresh look at the identification of the East Roman consul for 460 CE. Although recent scholarship has favored a military candidate over a civil candidate of the same name, the author suggests that there is a better argument for the civil candidate based on an examination of East Roman political and religious issues in the 440 s and 450 s. If so, the choice may also shed new light on Aspar’s political strategy in the late 450 s and early resistance to the advancement of his son, Patricius.
Fundamental Theory and R-linear Convergence of Stretch Energy Minimization for Spherical Equiareal Parameterization
Authors: Huang Tsung-Ming , Liao Wei-Hung , Lin Wen-Wei 
Published: August 2023

AbstractHere, we extend the finite distortion problem from bounded domains in ℝ2to closed genus-zero surfaces in ℝ3by a stereographic projection. Then, we derive a theoretical foundation for spherical equiareal parameterization between a simply connected closed surfaceMand a unit sphere 𝕊2by minimizing the total area distortion energy on ̅ℂ. After the minimizer of the total area distortion energy is determined, it is combined with an initial conformal map to determine the equiareal map between the extended planes. From the inverse stereographic projection, we derive the equiareal map betweenMand 𝕊2. The total area distortion energy is rewritten into the sum of Dirichlet energies associated with the southern and northern hemispheres and is decreased by alternatingly solving the corresponding Laplacian equations. Based on this foundational theory, we develop a modified stretch energy minimization function for the computation of spherical equiareal parameterization betweenMand 𝕊2. In addition, under relatively mild conditions, we verify that our proposed algorithm has asymptotic R-linear convergence or forms a quasi-periodic solution. Numerical experiments on various benchmarks validate that the assumptions for convergence always hold and indicate the efficiency, reliability, and robustness of the developed modified stretch energy minimization function.
Accurate and fast small p-value estimation for permutation tests in high-throughput genomic data analysis with the cross-entropy method
Authors: Shi Yang , Shi Weiping , Wang Mengqiao , Lee Ji-Hyun , Kang Huining , Jiang Hui 
Published: August 2023

Abstract
Permutation tests are widely used for statistical hypothesis testing when the sampling distribution of the test statistic under the null hypothesis is analytically intractable or unreliable due to finite sample sizes. One critical challenge in the application of permutation tests in genomic studies is that an enormous number of permutations are often needed to obtain reliable estimates of very small p-values, leading to intensive computational effort. To address this issue, we develop algorithms for the accurate and efficient estimation of small p-values in permutation tests for paired and independent two-group genomic data, and our approaches leverage a novel framework for parameterizing the permutation sample spaces of those two types of data respectively using the Bernoulli and conditional Bernoulli distributions, combined with the cross-entropy method. The performance of our proposed algorithms is demonstrated through the application to two simulated datasets and two real-world gene expression datasets generated by microarray and RNA-Seq technologies and comparisons to existing methods such as crude permutations and SAMC, and the results show that our approaches can achieve orders of magnitude of computational efficiency gains in estimating small p-values. Our approaches offer promising solutions for the improvement of computational efficiencies of existing permutation test procedures and the development of new testing methods using permutations in genomic data analysis.
Change-of-Direction Speed Assessments and Testing Procedures in Tennis: A Systematic Review
Authors: Schneider Celine , Rothschild Jeff , Uthoff Aaron 
Published: August 2023

Abstract
Schneider, C, Rothschild, J, and Uthoff, A. Change-of-direction speed assessments and testing procedures in tennis: a systematic review. J Strength Cond Res 37(9): 1888–1895, 2023—Change-of-direction speed (CODS) plays an essential role in tennis match play, and CODS performance is, therefore, commonly assessed and monitored in tennis players. Thus, the aim of this systematic review was to describe test characteristics, performance metrics, test-retest reliability, construct validity, and test outcomes of tests that are used to assess CODS in tennis players. A literature search conducted on PubMed and SPORTDiscus yielded 563 results. After applying the eligibility criteria, a total of 27 studies were included in the present review. Ten unique CODS tests were identified. 505 test variations were most frequently used across all studies, and total time required to complete the test was the predominant performance metric investigated. Intrasession test-retest reliability ranged from “moderate” to “excellent.” Intersession test-retest reliability as well as the effects of tennis performance, sex, and age on CODS performance were unclear given the subject demographics and the limited number of studies that investigated these aspects. In conclusion, most studies included CODS tests that exhibit longer COD entry and total distances but similar COD angles to those seen during tennis match play. All CODS tests have at least “moderate” intrasession test-retest reliability. However, to improve CODS assessment methods and to increase our current understanding of CODS performance in tennis players, there is a need to conduct more research on the intersession test-retest reliability, construct validity, and the effects of sex, age, and tennis performance and to investigate other performance metrics that might provide additional insights into CODS (e.g., phase-specific performance variables).
Factors Affecting Physical and Technical Performance in Australian Football
Authors: Wing Christopher , Hart Nicolas H. , Ma'ayah Fadi , Nosaka Kazunori 
Published: August 2023

Abstract
Wing, C, Hart, NH, Ma’ayah, F, and Nosaka, K. Factors affecting physical and technical performance in Australian football. J Strength Cond Res 37(9): 1844–1851, 2023—This study assessed player (i.e., lower-body strength and power and aerobic fitness) and environmental (e.g., venue) factors and their effects on the physical (e.g., distance) and technical (e.g., kicks) demands of Australian football (AF). Relative distance, high-speed running (HSR), and acceleration efforts for 19 matches by 33 players in a West AF League team were analyzed from global positioning system data split into periods of successful offense and defense and maximum ball in play (BiP) periods, as well as technical actions. Lower-body strength and power, and aerobic fitness were evaluated using a one-repetition trap-bar deadlift, countermovement jump, 2-km time trial, and Yo-Yo intermittent fitness test, respectively. In matches played at home, distance (p < 0.001, ES = 0.39) and HSR (p < 0.001, ES = 0.34) were significantly reduced during successful defense. In addition, tackle rate was significantly increased (p = 0.003, ES = 0.16) during successful defense when playing at home. Trap-bar deadlift relative to mass significantly increased relative distance (p = 0.004, ES = 0.51) and HSR (p = 0.029, ES = 0.40) in successful offense. In successful defense, superior time trial performance significantly increased relative distance (p < 0.001, ES = 0.58), HSR (p < 0.001, ES = 0.59), and acceleration efforts (p = 0.017, ES = 0.44), while relative distance (p < 0.001, ES = 0.62) and HSR (p = 0.004, ES = 0.52) were also increased during maximum BiP periods. The results demonstrate that player factors have the largest effect on the physical and technical performance of AF players.
Using Electronic Handgrip Dynamometry and Accelerometry to Examine Multiple Aspects of Handgrip Function in Master Endurance Athletes: A Pilot Study
Authors: Klawitter Lukus A. , Hackney Kyle J. , Christensen Bryan K. , Hamm Jeremy M. , Hanson Matt , McGrath Ryan 
Published: August 2023

Abstract
Klawitter, LA, Hackney, KJ, Christensen, BK, Hamm, JM, Hanson, M, and McGrath, R. Using electronic handgrip dynamometry and accelerometry to examine multiple aspects of handgrip function in master endurance athletes: A Pilot Study. J Strength Cond Res 37(9): 1777–1782, 2023—Electronic handgrip dynamometry and accelerometry may provide novel opportunities to comprehensively measure muscle function for human performance, especially for master athletes. This investigation sought to determine the multivariate relationships between maximal strength, asymmetry, rate of force development, fatigability, submaximal force control, bimanual coordination, and neuromuscular steadiness to derive one or more handgrip principal components in master-aged endurance athletes. We included n = 31 cyclists and triathletes aged 35–70 years. Maximal strength, asymmetry, rate of force development, fatigability, submaximal force control, bimanual coordination, and neuromuscular steadiness were measured twice on each hand using electronic handgrip dynamometry and accelerometry. The highest performing measures were included in the analyses. A principal component analysis was conducted to derive a new collection of uncorrelated variables from the collected handgrip measurements. Principal components with eigenvalues >1.0 were kept, and individual measures with a factor loading of |>0.40| were retained in each principal component. There were 3 principal components retained with eigenvalues of 2.46, 1.31, and 1.17. The first principal component, “robust strength,” contained maximal strength, rate of force development, submaximal force control, and neuromuscular steadiness. The second principal component, “bilateral synergy,” contained asymmetry and bimanual coordination, whereas the third principal component, “muscle conditioning,” contained fatigability. Principal components 1, 2, and 3 explained 44.0, 31.6, and 24.4% of the variance, respectively. Different dimensions of muscle function emerged from our findings, suggesting the potential of a muscle function battery. Further research examining how these measures are associated with appropriate human performance metrics and lower extremity correlates is warranted.
In UteroElectroporated Neurons for Medium-Throughput Screening of Compounds Regulating Neuron Morphology
Authors: Sokolov Aidan M. , Aurich Mariana , Bordey Angélique 
Published: August 2023

AbstractSeveral neurodevelopmental disorders are associated with increased mTOR activity that results in pathogenic neuronal dysmorphogenesis (i.e., soma and dendrite overgrowth), leading to circuit alterations associated with epilepsy and neurologic disabilities. Although an mTOR analog is approved for the treatment of epilepsy in one of these disorders, it has limited efficacy and is associated with a wide range of side effects. There is a need to develop novel agents for the treatment of mTOR-pathway related disorders. Here, we developed a medium-throughput phenotypic assay to test drug efficacy on neurite morphogenesis of mouse neurons in a hyperactive mTOR condition. Our assay involvedin uteroelectroporation (IUE) of a selective population of cortical pyramidal neurons with a plasmid encoding the constitutively active mTOR activator, Rheb, and tdTomato. Labeled neurons from the somatosensory cortex (SSC) were cultured onto 96-well plates and fixed at various daysin vitroor following Torin 1 treatment. Automated systems were used for image acquisition and neuron morphologic measurements. We validated our automated approach using traditional manual methods of neuron morphologic assessment. Both automated and manual analyses showed increased neurite length and complexity over time, and decreased neurite overgrowth and soma size with Torin 1. These data validate the accuracy of our automated approach that takes hours compared with weeks when using traditional manual methods. Taken together, this assay can be scaled to screen 32 compounds simultaneously in two weeks, highlighting its robustness and efficiency for medium-throughput screening of candidate therapeutics on a defined population of wild-type or diseased neurons.
The divergence of mutation rates and spectra across the Tree of Life
Authors: Lynch Michael , Ali Farhan , Lin Tongtong , Wang Yaohai , Ni Jiahao , Long Hongan 
Published: August 2023

AbstractOwing to advances in genome sequencing, genome stability has become one of the most scrutinized cellular traits across the Tree of Life. Despite its centrality to all things biological, the mutation rate (per nucleotide site per generation) ranges over three orders of magnitude among species and several‐fold within individual phylogenetic lineages. Within all major organismal groups, mutation rates scale negatively with the effective population size of a species and with the amount of functional DNA in the genome. This relationship is most parsimoniously explained by the drift‐barrier hypothesis, which postulates that natural selection typically operates to reduce mutation rates until further improvement is thwarted by the power of random genetic drift. Despite this constraint, the molecular mechanisms underlying DNA replication fidelity and repair are free to wander, provided the performance of the entire system is maintained at the prevailing level. The evolutionary flexibility of the mutation rate bears on the resolution of several prior conundrums in phylogenetic and population‐genetic analysis and raises challenges for future applications in these areas.