Large-scale phylogenomic insights into the evolution of the Hymenochaetales by Heng Zhao, Fang Wu, Sundy Maurice, Igor N. Pavlov, Konstantin V. Krutovsky, Hong-Gao Liu, Yuan Yuan, Yu-Cheng Dai

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Enabling next-generation engineered TCR-T therapies based on high-throughput TCR discovery from diagnostic tumor biopsies by Thomas Kuilman, Deborah S. Schrikkema, Jules Gadiot, Raquel Gomez-Eerland, Laura Bies, Julia Walker, Robbert M. Spaapen, Hanna Kok, Demi Houg, Milena Viyacheva, Yvonne B. Claassen, Manuel Saornil, Oscar Krijgsman, Bas Stringer, Huiwen Ding, Anou Geleijnse, Anne C. Meinema, Bianca Weissbrich, Melissa Lancee, Carmen G. Engele, Marianna Sabatino, Pei-Ling Chen, Kenneth Y. Tsai, James J. Mulé, Vernon K. Sondak, Jitske van den Bulk, Noel F. de Miranda, Inge Jedema, John G. Haanen, Jeroen W. J. van Heijst, Ton N. Schumacher, Carsten Linnemann, Gavin M. Bendle

“…Using a genetic screening approach that detects antigen-reactive TCRs with high sensitivity and specificity based on T cell activation, we show that high complexity TCR libraries can be efficiently screened against multiplexed antigen libraries to identify both HLA class I and II restricted TCRs. …”
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Intronomics-MIP: a snakemake pipeline for analyzing multilocus intron polymorphisms in species identification and population genomics by A. Scapolatiello, E. Boscari, L. Schiavon, N. Vitulo, L. Congiu

“…These MIPs serve as powerful multiple-allelic markers, primarily useful for distinguishing species, identifying cryptic species, disentangling species complexes and detecting hybridization, but can also be informative for assessing population structure without prior species knowledge. …”
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Strong parameter hierarchy in the interstellar phosphorus chemical network by Marina Fernández-Ruz, Marina Fernández-Ruz, Izaskun Jiménez-Serra, Mario Castro, Mario Castro, Marta Ruiz-Bermejo, Jacobo Aguirre, Jacobo Aguirre

“…In this study, we introduce the Fisher Information Spectral Reduction (FISR) algorithm, a novel and computationally efficient method to reduce the complexity of such sloppy models. …”
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DA-Net: Dual Attention Network for Haze Removal in Remote Sensing Image by Namwon Kim, Il-Seok Choi, Seong-Soo Han, Chang-Sung Jeong

“…Moreover, we shall show that the concatenation of channel-spatial attention to parallel attention module enables detecting haze component information more accurately while reducing the model complexity proportional to the number of parameters by combining the channel and spatial information generated respectively from two different channel and spatial branches. …”
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Systems monitoring platform integrating artificial intelligence for incident response in servers by Bruno Hiroshi Espinosa-Luna, Johann Castillo-Oliva, Willy Francisco García-Gutiérrez, Alberto Carlos Mendoza-de-los-Santos

“… The increasing complexity of IT management and the need to monitor critical infrastructure metrics, such as CPU usage, memory, storage, and service logs, detect failures, and respond quickly to alerts, imply the adoption of advanced technologies that enable comprehensive monitoring and efficient response. …”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning by Valeri A. Makarov, Sergey A. Lobov, Sergey A. Lobov

“…It exploits the fundamental trade-off between the complexity and simplicity of statistical sets in high-dimensional spaces without relying on global optimization techniques. …”
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A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Ahmed Aziz

“…The proposed model utilizes a hybrid framework that combines standard and dilated convolutional networks, advanced attention mechanisms, and temporal sequence learning to address the complexities of ECG data. A parallel architecture integrates a MobileViT block for efficient spatial feature extraction and an Efficient Channel Attention (ECA) module to refine feature representations. …”
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Predicting and comparing transcription start sites in single cell populations. by Shiwei Fu, Wei Vivian Li

“…It employs a Binomial generalized linear mixed model to accurately and efficiently detect differential TSS usage. We demonstrate the utility of scTSS through its application in analyzing transcriptional initiation from single-cell data of two distinct diseases. …”
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Graph cut-based segmentation for intervertebral disc in human MRI by Leena Silvoster, R. Mathusoothan S. Kumar

“…The polynomial time complexity of this approach enables the exploration of a globally optimal solution, eliminating the need for user interaction in seed point selection. …”
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Chemotactic response and adaptation dynamics in Escherichia coli. by Diana Clausznitzer, Olga Oleksiuk, Linda Løvdok, Victor Sourjik, Robert G Endres

“…Specifically, we use a condensed representation of adaptation time courses for efficient evaluation of different adaptation models. …”
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Assessment of ship-block stacking status based on images obtained from drone and geographic information system data by Young-Soo Han, Kyungho Lee, Byeongwook Nam, Yang Ouk Kim, Youngsu Kim, Hyeon-Bin Yeo

“…Hence, we propose a method for monitoring the block storage status based on drone images and shipyard Geographic Information System (GIS) information to support the efficient use of block stockyards. Shipyard GIS information is mapped onto the image acquired from the drone, and the area of the stacked block is detected in the image. …”
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Novel Cerium‐Based p‐Dopants with Low Parasitic Absorption for Improved Organic Devices by Stephanie A. Buchholtz, L. Conrad Winkler, Maximilian F. X. Dorfner, Fred Kretschmer, Anncharlott Kusber, Léonard Y. M. Eymann, Theresa Schmidt, Hans Kleemann, Johannes Benduhn, Frank Ortmann, Karl Leo

“…Abstract High electrical conductivity and improved charge carrier injection enabled by molecular doping are pivotal for high‐performance, energy‐efficient, and stable organic optoelectronic devices. …”
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Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine by Saleha Kamal, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Hanan Aljuaid, Ahmad Jalal, Hui Liu

“…There are several elements that contribute to the complexity of the task, making it more challenging to detect human activities, i.e., (i) poor lightning conditions; (ii) different viewing angles; (iii) intricate clothing styles; (iv) diverse activities with similar gestures; and (v) limited availability of large datasets. …”
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The role of phenolic OH groups of flavonoid compounds with H-bond formation ability to suppress amyloid mature fibrils by destabilizing β-sheet conformation of monomeric Aβ17-42. by Sahar Andarzi Gargari, Abolfazl Barzegar, Alireza Tarinejad

“…Myricetin, morin and flavone penetrated into the core of the Aβ17-42 and formed self-clusters of Aβ17-42-flavonoid complexes. Analysis of Aβ17-42-flavonoids interactions identified that the hydrophobic interactions related to SASA-dependent energy are weak in all complexes. …”
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Defense against Adversarial Attacks in Image Recognition Based on Multilayer Filters by Mingde Wang, Zhijing Liu

“…Although these perturbations are difficult for humans to detect, they can easily mislead deep learning classifiers. …”
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Quantitative and Qualitative Evaluation of Microplastic Contamination of Shrimp Using Visible Near-Infrared Multispectral Imaging Technology Combined with Supervised Self-Organizin... by Sureerat Makmuang, Abderrahmane Aït-Kaddour

“…However, accurately detecting and characterizing MPs in biological samples remains a challenge due to the complexity of biological matrices and analytical limitations. …”
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A Hybrid Approach to Enhanced Signal Denoising Using Data-Driven Multiresolution Analysis with Detrended-Fluctuation-Analysis-Based Thresholding and Stationary Wavelet Transform by Fatima Kozhamkulova, Muhammad Tahir Akhtar

“…It is demonstrated that the proposed method outperforms the state-of-the-art denoising methods and with a comparable computational complexity.…”
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Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression by Joseph M. Josephides, Chun-Long Chen

“…Here, we develop MnM, an efficient machine learning-based tool that allows disentangling scRT profiles from heterogenous samples. …”
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Document Relevance Filtering by Natural Language Processing and Machine Learning: A Multidisciplinary Case Study of Patents by Raj Bridgelall

“…Traditional semantic search methods based on keywords often fail to capture the complexity and variability in multidisciplinary terminology, leading to inefficiencies. …”
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