Learning about causal relations that change over time: primacy and recency over long timeframes in causal judgments and memory by Benjamin M. Rottman, Yiwen Zhang

“…First, we found that people could detect the change in contingency. They were better at doing so in the artificial short timeframe task, but still could do so in the more realistic long timeframe task. …”
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Discovering Human Presence Activities with Smartphones Using Nonintrusive Wi-Fi Sniffer Sensors: The Big Data Prospective by Weijun Qin, Jiadi Zhang, Bo Li, Limin Sun

“…In this paper, we propose an optimized Wi-Fi channel detection and selection method to switch the best channels automatically to aggregate the Wi-Fi messages based on channel data transmission weights and human presence activity classification method based on the features of human dwell duration sequences in order to evaluate the user engagement index. …”
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mzGroupAnalyzer--predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data. by Hannes Doerfler, Xiaoliang Sun, Lei Wang, Doris Engelmeier, David Lyon, Wolfram Weckwerth

“…An algorithm was developed, called mzGroupAnalyzer, to automatically explore the metabolome for the detection of metabolite transformations caused by biochemical or chemical modifications. …”
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Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques by Florence Erbs, Mike van derSchaar, Miriam Marmontel, Marina Gaona, Emiliano Ramalho, Michel André

“…Manatee vocalizations were consistently detected during both years, reaching 94% daily temporal occurrence in 2021, and up to 11 h a day with detections during peak presence. …”
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Deep Learning Model for Prediction of Dementia Severity based on EEG Signals by Noor Kamal Al-Qazzaz, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad

“…The proposed method comprises computing the estimates of the attention entropy (AttEn), bubble entropy (BubbEn) and symbolic dynamic entropy (SyDyEn) of univariate data sequence features. The long short-term memory (LSTM) deep learning neural network was used to automatically classify dementia severity through noninvasive EEG-based recordings. …”
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Combined genome and transcriptome analysis identifies molecular signatures of aortic disease in patients with Marfan syndrome by Katherine B. Stanley, Alexa V. Mederos, Ethan H. Barksdale, Joel S. Corvera, Joshua L. Davis, Fang Fang, Hongyu Gao, Courtney E. Vujakovich, Yunlong Liu, Stephanie M. Ware, Benjamin J. Landis

“…Smooth muscle cells (SMCs) were cultured directly from the proximal aortic tissues of MFS cases undergoing aortic root replacement and controls during heart transplant. Genome sequencing (GS) analysis was combined with mRNA-sequencing (mRNA-seq) and single-cell gene expression profiling of SMCs. …”
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Screening of West Siberian patients with primary congenital glaucoma for CYP1B1 gene mutations by D. E. Ivanoshchuk, S. V. Mikhailova, O. G. Fenkova, E. V. Shakhtshneider, A. Z. Fursova, I. V. Bychkov, M. I. Voevoda

“…The aim of this work was to assess the polymorphism of the CYP1B1 gene among West Siberian patients with primary congenital glaucoma. Direct automatic Sanger sequencing of exons and adjacent splicing sites of the CYP1B1 gene was carried out in 28 people with the PCG phenotype from a West Siberian region. …”
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Assessment of structural changes in the left atrium myocardium according to cardiac magnetic resonance with contrast before and after balloon cryoablation in patients with persiste... by O. V. Stukalova, V. S. Kirilova, O. P. Aparina, E. B. Maykov

“…All patients before and after magnetic resonance imaging underwent cardiac magnetic resonance imaging with delayed contrast using a high-resolution MR pulse sequence (voxel size 1,25x1,25x1,25 mm) before and after cryoablation.The severity of atrial fibrous lesion was calculated automatically using a specialized LGE HEART Analyzer program using algorithms based on the myocardial contrast index with a threshold value of 1.38. …”
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Metagenomic and Metabolomic Profiling Reveals the Differences of Flavor Quality between <i>Hongqu</i> Rice Wines Fermented with <i>Gutian</i> Qu and <i>Wuyi</i> Qu by Zihua Liang, Shiyun Chen, Hao Wang, Qi Wu, Weiling Guo, Li Ni, Xucong Lv

“…The objective of this study was to compare the dynamic changes of amino acids (AAs), higher alcohols (HAs), bioamines (BAs), volatile flavor compounds (VFCs), and microbial communities in HQW fermentation, with GTQ and WYQ as starter. This study used an automatic amino acid analyzer, GC, HPLC, and GC-MS to detect AAs, HAs, Bas, and VFCs during fermentation; metagenomic sequencing technology was used to elucidate the microbial community and its functional characteristics. …”
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AutoPVPrimer: A comprehensive AI-Enhanced pipeline for efficient plant virus primer design and assessment. by Abozar Ghorbani, Mahsa Rostami, Elham Ashrafi-Dehkordi, Pietro Hiram Guzzi

“…The pipeline uses Biopython to automatically retrieve different genomic sequences from the NCBI database to increase the robustness of the subsequent primer design. …”
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INTEGRATED GRAPH-BASED TESTING PIPELINE FOR MODERN SINGLE-PAGE APPLICATIONS by Nataliia Golian, Varvara Tisheninova

“…Leveraging graph algorithms, our approach automatically identifies missing paths to achieve exhaustive node, edge, and simple path coverage up to a configurable length, synthesizes minimal test sequences, and generates executable test scripts in frameworks such as Jest (unit / component), Cypress or Playwright (integration / E2E), and Postman (API). …”
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Analysing vocal complexity in relation to sociality in orcas of British Columbia: An application of long-term computational passive acoustics by Paul Best, Marion Poupard, Ricard Marxer, Paul Spong, Helena Symonds, Hervé Glotin

“…Here, we report a series of acoustic analyses that lead to the empirical assessment of factors that might impact vocal complexity.Automatically processing long-term passive acoustic data, we detected and classified calls to transcribe vocal activity. …”
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RehabHand&#x2014;A New Physical Rehabilitation Training Dataset: Construction and Benchmark Performances of the Relevant Hand Tasks by Sinh Huy Nguyen, Hoang Bach Nguyen, Thi Thu Hong Le, Chi Thanh Nguyen, Thi Thanh Huyen Nguyen, Quynh Tho Chu, Thi Lan Le, Thanh Hai Tran, Hai Vu

“…These videos are segmented into 431 sequences that present instances of each exercise at a certain time. …”
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Exhale-Focused Thermal Image Segmentation Using Optical Flow-Based Frame Filtering and Transformer-Aided Deep Networks by Do-Kyeong Lee, Jae-Sung Shin, Jae-Sung Choi, Min-Hyung Choi, Min Hong

“…The proposed method uses an optical flow magnitude-based thresholding technique to automatically extract exhalation frames and segment them into frame sequences. …”
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Early infantile epileptic encephalopathy type 16: the new clinical and genetic variant of TBC1D24 gene mutation by A. A. Kholin, I. D. Fedonyuk, O. P. Dovelman, N. N. Zavadenko, T. V. Kozhanova, E. A. Kholina, G. Sh. Khondkarian, E. S. Il`ina

“…A video EEG monitoring test detected multiple EEG negative multifocal myoclonic episodes in combination with dystonic hyperkinesia and motor automatism. …”
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Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence by Guanxi Fan, Yu Wang, Tongling Wang, Dapeng Yang

“…The study offers strong technical support for the intelligent development of gymnastics education. By automatically detecting and analyzing movements, the model can deliver real-time feedback to both teachers and students, helping learners master skills more efficiently and improve performance.…”
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