Sensitive and precise quantification of insulin-like mRNA expression in Caenorhabditis elegans. by L Ryan Baugh, Nicole Kurhanewicz, Paul W Sternberg

“…We detected expression for nearly all insulin-like genes and find that they are expressed in a variety of distinct patterns suggesting complexity of regulation and specificity of function. …”
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Identification of strengths and weaknesses of the healthcare system for persons living with rare diseases in Catalonia (Spain), and recommendations to improve its comprehensive att... by José Hernández-Rodríguez, Fernando Martínez-Valle, Xènia Acebes, Carmen Alerany, Jordi Antón, Gonzalo Calvo, Marian Corral, Jordi Cruz, M. Antònia Mangues-Bafalluy, José Mateo, Josefa Rivera, Albert Salazar, Roser Francisco, Cristina Mallol, Rita Reig-Viader, Ariadna Tigri-Santiña, Assumpta Ricart, Francesc Palau

“…Abstract Background Rare diseases (RDs) are a heterogeneous group of complex and low-prevalence conditions in which the time to establish a definitive diagnosis is often too long. …”
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An azo substituted quinoline‐malononitrile enzyme‐activable aggregation‐induced emission nanoprobe for hypoxia imaging by Zhirong Zhu, Shichang Liu, Xupeng Wu, Qianqian Yu, Yi Duan, Shanshan Hu, Wei‐Hong Zhu, Qi Wang

“…Abstract The development of efficient aggregation‐induced emission (AIE) active probes is crucial for disease diagnosis, particularly for tumors and cardiovascular diseases. …”
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Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction–Extension Scheme by Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk

“…These approaches have already shown considerable advantages over traditional methods, especially due to their capacity to efficiently process large datasets and detect complex patterns. …”
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Isolation and identification of a matrine-producing fungal strain from petroleum-contaminated soil by Mao Dongxia, Guo Dandan, Wu Lingling, Tian Xiaoxue, Zhang Shengxiang, Liu Tao, Ma Xiaokui

“…In addition, the production efficiency is not high enough, and the product has many impurities. …”
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Identification of tRF-29-79MP9P9NH525 as a biomarker and tumor suppressor of gastric cancer via regulating KIF14/AKT pathway by Jiaxin Ge, Ji Dai, Haoqiang Ji, Jie Guo, Xiaoban Shen, Desen Sun, Qiang Chen, Pan Chen, Guoliang Ye, Junming Guo, Shuangshuang Zhang

“…It was found that tissue tRF-29 showed effective diagnostic efficiency in GC and could discriminate different gastric mucosa. …”
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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

“…Spiking neural networks (SNNs) have significant potential for a power-efficient neuromorphic AI. However, their training is challenging since most of the learning principles known from artificial neural networks are hardly applicable. …”
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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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Optimization with Time and Frequency Constraints Using Automatic Differentiation: Application to an Aircraft Electrical Power Channel by Lucas Agobert, Laurent Gerbaud, Benoit Delinchant

“…Optimal sizing, on top of developing such a model, is a significant challenge for designers, particularly due to the complexity of incorporating efficiently both time-domain and frequency-domain constraints and objectives. …”
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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…The use of feature cropping and stitching techniques allows the model to efficiently integrate multi-scale features, thereby enhancing the robustness and effectiveness of facial expression recognition tasks. …”
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Identification of Metabolites of Ferulic Acid in Human after Oral Administration by Qian PAN, Wei LI, Yang YANG, Yong-qiang ZHAO, Li LIAN, Qing-qing CONG, Li-hong WANG, Yue-lin SONG, Qian HONG

“…Liquid chromatography coupled with mass spectrometry (LC-MS) combines the high-efficiency separation capabilities of LC with the powerful qualitative analysis advantage of MS, playing a vital and irreplaceable role in the in-depth study of chemical profiles in complex systems. …”
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Metallurgical Waste for Sustainable Agriculture: Converter Slag and Blast-Furnace Sludge Increase Oat Yield in Acidic Soils by Olga V. Zakharova, Peter A. Baranchikov, Svetlana P. Chebotaryova, Gregory V. Grigoriev, Nataliya S. Strekalova, Tatiana A. Grodetskaya, Igor N. Burmistrov, Sergey V. Volokhov, Denis V. Kuznetsov, Alexander A. Gusev

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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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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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Robust Network Traffic Classification Based on Information Bottleneck Neural Network by Wei Lin, Yu Chen

“…Recent advances in machine learning have improved NTC but often struggle with data labeling, encrypted traffic, and model complexity. This paper introduces a novel Information Bottleneck Neural Network (IBNN) to address these challenges by efficiently extracting essential features from raw traffic data while minimizing irrelevant information. …”
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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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Compressive Single-Pixel Read-Out of Single-Photon Quantum Walks on a Polymer Photonic Chip by Aveek Chandra, Shuin Jian Wu, Angelina Frank, James A. Grieve

“…Quantum photonic devices operating in the single photon regime require the detection and characterization of quantum states of light. …”
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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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Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions by Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Mette Sagbakken, Ahmed Ghannam, Fuad H. Abuadas, Joel Somerville, Joel Somerville, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair

“…Learners also reported an increased cognitive load and heightened stress levels when navigating these more complex, AI-driven activities.Clinical decision support and monitoringAI-enabled alert algorithms and wearable sensors enabled nurses to detect subtle signs of patient deterioration and fever significantly earlier than conventional methods, supporting timelier clinical interventions. …”
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