Can activator protein-1 transcription factors be monitored in the maternal circulation to predict set on labor? by Toghrul Yahyayev, Tugce Senturk Kirmizitas, Ali Benian, Tuba Gunel

“…Gene expression of JUN, FOS, and FOSL2 was analyzed in serum and myometrial samples using droplet digital polymerase chain reaction, and statistical analysis was performed using GraphPad software (GraphPad Software, San Diego, CA, USA). …”
Get full text

Hierarchical Semi-Supervised Representation Learning for Cyber Physical Social Intelligence by Na Song, Jing Yang, Xuemei Fu, Xiangli Yang, Ying Xie, Shiping Wang

“…Simultaneously, a learnable graph neural network captures global topology using a graph structure-level reconstruction loss. …”
Get full text

Differentiable MadNIS-Lite by Theo Heimel, Olivier Mattelaer, Tilman Plehn, Ramon Winterhalder

“…These new techniques boost the performance of current and planned MadGraph implementations. Combining phase-space mappings with a set of very small learnable flow elements, MADNIS-Lite, can improve the sampling efficiency while being physically interpretable. …”
Get full text

An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…The correspondence of the neural network model training samples and their associated locations for the real samples (left graph) and the training samples (right graph) are shown (Fig. 9). …”
Get full text

Improving CSCL Performance: A Quasiexperimental Study with Control and Intervention Groups Comparing Informative and Suggestive Feedback by Lanqin Zheng, Kaushal Kumar Bhagat, Miaolang Long, Nitesh Kumar Jha

“…This study adopted a convenience sampling method, and a total of 104 undergraduate students registered in a mandatory course voluntarily participated in a quasiexperimental study. …”
Get full text

Determination of Thiocyanate by Kinetic Spectrophotometric Flow Injection Analysis by Mohsen Keyvanfard, Khadijeh Alizad, Parinaz Elahian

“…The throughput was 25 samples per hour.…”
Get full text

Fusion of Masked Autoencoder for Adaptive Augmentation Sequential Recommendation by SUN Xiujuan, SUN Fuzhen, LI Pengcheng, WANG Aofei, WANG Shaoqing

“…Then, an adaptive graph augmentation module is designed to extract important self-supervised signals based on an adaptive sampling strategy, learning more accurate item representations and effectively avoiding the interference of noise signals. …”
Get full text

Multiconsensus of Second-Order Multiagent Networks via Pulse-Modulated Intermittent Control by Ming Chi, Xu-Long Wang, Ding-Xin He, Zhi-Wei Liu

“…This paper studies the multiconsensus problem of multiagent networks based on sampled data information via the pulse-modulated intermittent control (PMIC) which is a general control framework unifying impulsive control, intermittent control, and sampling control. …”
Get full text

An MBO method for modularity optimisation based on total variation and signless total variation by Zijun Li, Yves van Gennip, Volker John

“…Modularity [1] is a measure of community structure that compares connectivity in the network with the expected connectivity in a graph sampled from a random null model. Its optimisation is a common approach to tackle the community detection problem. …”
Get full text

ORSO (Online Resource for Social Omics): A data-driven social network connecting scientists to genomics datasets. by Christopher A Lavender, Andrew J Shapiro, Frank S Day, David C Fargo

“…The topology of the network graph reflects established biology, with samples from related systems grouped together. …”
Get full text

Distributed Impulsive Consensus of the Multiagent System without Velocity Measurement by Zhi-Wei Liu, Hong Zhou, Zhi-Hong Guan, Wen-Shan Hu, Li Ding, Wei Wang

“…It is shown that the control gains, the sampled period and the eigenvalues of Laplacian matrix of communication graph play key roles in achieving consensus. …”
Get full text

Towards accurate food safety risks prediction via context-enhanced heterogeneous GNN by Ying Tang, Yu Han, Weihua Zhou

“…Second, we construct a heterogeneous graph that connects food samples, geographical origins, and adulterants to model their complex interactions. …”
Get full text

Resource-efficient shadow tomography using equatorial stabilizer measurements by Guedong Park, Yong Siah Teo, Hyunseok Jeong

“…We numerically confirm our theoretically derived shadow-tomographic sampling complexities with random pure states and multiqubit graph states. …”
Get full text

The impact of dropouts in scRNAseq dense neighborhood analysis by Alisa Pavel, Manja Gersholm Grønberg, Line H. Clemmensen

“…The most commonly used clustering methodologies to detect dense local neighborhoods are based on graph clustering on a nearest neighbor graph. However, high dropout rates may break this assumption and make it difficult to reliably detect such dense local neighborhoods.We assess the cluster homogeneity and stability under increasing degrees of dropouts in one of the most popular clustering pipelines (dimensionality reduction + graph based clustering), as provided by scRNAseq analyses packages Seurat and Scanpy. …”
Get full text

Inference of population splits and mixtures from genome-wide allele frequency data. by Joseph K Pickrell, Jonathan K Pritchard

“…In this paper, we present a statistical model for inferring the patterns of population splits and mixtures in multiple populations. In our model, the sampled populations in a species are related to their common ancestor through a graph of ancestral populations. …”
Get full text

Symmetry-driven embedding of networks in hyperbolic space by Simon Lizotte, Jean-Gabriel Young, Antoine Allard

“…We present BIGUE, a Markov chain Monte Carlo (MCMC) algorithm that samples the posterior distribution of a Bayesian hyperbolic random graph model. …”
Get full text

Nonlinear Determination Method for Self-Heating Initiative Temperature of Sulfide Ores by Huimin Jin, Wei Pan, Xue Shen, Shuangyi Cheng

“…The purpose of this article is to explore a new method to determine the self-heating initiative temperature of sulfide ores for preventing spontaneous combustion of sulfide ores. Two typical ore samples with self-heating characteristics are studied by wavelet transform, recursive graph analysis, Hurst index extraction, and approximate entropy detection. …”
Get full text

Prediction and Quantification of Splice Events from RNA-Seq Data. by Leonard D Goldstein, Yi Cao, Gregoire Pau, Michael Lawrence, Thomas D Wu, Somasekar Seshagiri, Robert Gentleman

“…Splice junctions and exons are predicted from reads mapped to a reference genome and are assembled into a genome-wide splice graph. Splice events are identified recursively from the graph and are quantified locally based on reads extending across the start or end of each splice variant. …”
Get full text

LDMP-RENet: Reducing intra-class differences for metal surface defect few-shot semantic segmentation. by Jiyan Zhang, Hanze Ding, Zhangkai Wu, Ming Peng, Yanfang Liu

“…Specifically, it can be categorized into two types: the semantic intra-class difference induced by internal factors in metal samples and the distortion intra-class difference caused by external factors of surroundings. …”
Get full text

Ranking Assisted Unsupervised Morphological Disambiguation of Turkish by Hayri Volkan Agun, Ozkan Aslan

“…The suggested method selects less ambiguous analyses for statistical aggregation and applies inference through the PageRank algorithm on a densely connected graph. Subsequently, this graph is utilized to develop a voting schema for each test word based on the connections in the test sentence. …”
Get full text