Batch correcting single-cell spatial transcriptomics count data with Crescendo improves visualization and detection of spatial gene patterns by Nghia Millard, Jonathan H. Chen, Mukta G. Palshikar, Karin Pelka, Maxwell Spurrell, Colles Price, Jiang He, Nir Hacohen, Soumya Raychaudhuri, Ilya Korsunsky

“…Batch effects hinder visualization of gene spatial patterns across samples. We present the Crescendo algorithm to correct for batch effects at the gene expression level and enable accurate visualization of gene expression patterns across multiple samples. …”
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Oyster toadfish (Opsanus tau) boatwhistle call detection and patterns within a large-scale oyster restoration site. by Shannon W Ricci, DelWayne R Bohnenstiehl, David B Eggleston, M Lisa Kellogg, R Patrick Lyon

“…This work highlights the benefits of using automated detection techniques that provide quantitative information on species-specific call characteristics and patterns. …”
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A Novel Landsat-Derived Multispectral Index for Coal Dust Detection: Spatiotemporal Dispersion Patterns and Natural Driving Forces by Xiaoxiao Yan, Jing Li, Yang Shao, Kewen Wang, Xingguang Yan, Jorg Benndorf

“…High wind speeds and greater pressure differences facilitate dust dispersion, while low wind speeds and circulation patterns contribute to dust accumulation at the pit bottom. …”
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Changes in Host Cytokine Patterns of TB Patients with Different Bacterial Loads Detected Using 16S rRNA Analysis. by Rhiannon Heslop, Adama L Bojang, Sheikh Jarju, Joseph Mendy, Sarah Mulwa, Ousman Secka, Francis S Mendy, Olumuyiwa Owolabi, Beate Kampmann, Jayne S Sutherland

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Optimized LDPC Matrices: Reducing and Redistributing 1 bits for Enhanced MAP Detection in Bit-Patterned Media Recording Systems by Thien An Nguyen, Jaejin Lee, Jong-Ho Lee

Subjects: “…Bit-patterned media recording (BPMR)…”
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Moiré Pattern-Based Stripe Density Measurement Using Low-Frequency Component Detection by Pongsak Khokhuntod, Anucha Kaewpoonsuk

“…The two essential techniques are a digital grid overlay on the target image to create a moiré pattern and a moving average filter to remove the high-frequency components of the moiré pattern image. …”
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Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

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Detecting the Seasonal and Spatial Patterns of COVID-19 Hospitalization and Deaths in Iran: Insights from a Spatiotemporal and Hotspot Analysis by Leila Mounesan, Ebrahim Farhadi, Sana Eybpoosh, Ali Hosseini, Mahboubeh Parsaeian, Safoora Gharibzadeh, Mozhgan Ahmadinezhad, Farideh Bahari, Mohammad Mehdi Gouya, Aliakbar Haghdoost, Ehsan Mostafavi

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Outlier Traffic Flow Detection and Pattern Analysis Under Unplanned Disruptions: A Low-Rank Robust Decomposition Model by Zhipeng Duan

“…The accelerated proximal gradient solution algorithm is applied to obtain the decomposition results. The spatiotemporal patterns of detected outlier traffic flow are analyzed at a station level. …”
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Detecting Serbia’s Settlement Patterns: A Fuzzy Logic-Based Approach to Rural–Urban Area Delimitation for Spatial Planning by Aleksandra Gajić Protić, Nikola Krunić, Branko Protić

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QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals by Veysel Yusuf Cambay, Irem Tasci, Gulay Tasci, Rena Hajiyeva, Sengul Dogan, Turker Tuncer

“…An XFE model has been presented to detect stress automatically. The presented XFE model has four main phases, and these are (i) channel transformer and quadruple transition pattern (QuadTPat)-based feature generation, (ii) feature selection deploying cumulative weighted neighborhood component analysis (CWNCA), (iii) explainable results creation with DLob and (iv) classification with t algorithm-based k-nearest neighbors (tkNN) classifier. …”
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Unsupervised mapping of rice paddy fields and their inundation patterns using Sentinel-1 SAR images and GIS by Lauren E. McGiven, Marc F. Müller

“…This approach achieves high detection accuracy, with overall accuracy rates for paddy detection of 83.8%–89.0% in Japan, 71.5%–83.5% in the Philippines, and 72.3% for rice flooding patches in Bali, Indonesia. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…Quasi-periodic patterns (QPPs) are prominent spatiotemporal brain dynamics observed in functional neuroimaging data, reflecting the alternation of high and low activity across brain regions and their propagation along cortical gradients. …”
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Insider threat detection for specific threat scenarios by Tian Tian, Chen Zhang, Bo Jiang, Huamin Feng, Zhigang Lu

“…To address these issues, we introduce a scenario-oriented insider threat detection model. This model targets three specific threat scenarios-privilege abuse, identity theft, and data leakage-by analyzing user behavior patterns, extracting detailed behavioral characteristics, and constructing behavior sequences. …”
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THREE-DIMENSIONAL INTERACTIVE VISUALIZATION PATHOLOGICAL ACTIVITY BRAIN by O. P. Vysotsky, T. S. Bobrova, D. I. Zmitrukevich, G. I. Ovsyankina, A. A. Boriskevich, M. V. Davydov

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Enhanced cancer cell sorting using lab-on-a-disk pattern design with magnetic and centrifugal forces by Bill Cheng, Wei-Cheng Chao, Yi-Han Chen, Yao-Tsung Lin

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Detection of Resistant Prevalent Genes for Mycobacterium Tuberculosis by Line Probe Assay by Tejaswini A. Olambe, Pooja G. Shah, Sae Pol, Vaishali Gaikwad, Bhakti Karmalkar, Rajesh Karyakarte

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Content Patterns in Topic-Based Overlapping Communities by Sebastián A. Ríos, Ricardo Muñoz

“…To tackle this problem, we developed a novel methodology to detect overlapping subcommunities in online social networks and a method to analyze the content patterns for each subcommunities using topic models. …”
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OPTOELECTRONIC PATTERNING OF INTERNAL SURFACES IN CASTING AND METALLURGY by E. I. Marukovich, A. P. Markov, D. V. Efimenko, V. V. Konov, A. V. Ivanov

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Accuracy Improvement of Breast Tumor Detection based on Dimension Reduction in the Spatial and Edge Features and Edge Structure in the Image by Samaneh Sadat Seyed Abolghasemi, Mehran Emadi, Mohsen Karimi

“…In this article, a method based on pattern recognition is presented in order to detect the type of tumor. …”
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