AI-enabled Barilai–Borwein–Blinder–Oaxaca–Bernoulli Deep Classifier for Enhanced Crop Yield Prediction by Rajesh Kumar Dhanaraj, Nithya Rekha Sivakumar, Firoz Khan, Mahmoud Ahmad Al-Khasawneh

“…Abstract This article explores the integration of advanced Artificial Intelligence (AI) enabled deep learning methods with accurate crop yield prediction. …”
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Insights into Nitrogen-Associated Protein 50 (NAP50) as a Tyrosyl–DNA Phosphodiesterase in Dinoflagellates by Lu Tang, Nora Fung-Yee Tam, Winnie Lam, Thomas Chun-Hung Lee, Steven Jing-Liang Xu, Fred Wang-Fat Lee

“…The three-dimensional structure and biological functions of NAP50 are predicted using deep learning algorithms. …”
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Bridging human emotion processing and deep neural networks: insights from representational similarity analysis by Lu Nie, Ke Chen, Yue Li, Yonghong Tian, Yixuan Ku

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HEALTH AS A FACTOR OF INNOVATION DEVELOPMENT OF NUTRITION SPHERE by Larisa Aleksandrovna Majurnikova, Sergej Vladimirovich Novoselov, Anna Igorevna Urzhumova

“…Various innovative infrastructure elements function for this.…”
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Nanobodies: From Discovery to AI-Driven Design by Haoran Zhu, Yu Ding

“…This review also discusses the integration of AI in nanobody design and optimization, showcasing how machine learning and deep learning approaches are revolutionizing rational design, humanization, and affinity maturation processes. …”
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Introduction to the E-Sense Artificial Intelligence System by Kieran Greer

“…The third level is more functional, where each function can represent a subset of the base data and learn how to transpose across it. …”
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Optimization of the Online Teaching System Based on Streaming Media by Kuiqun Wang

“…Aiming at the flexibility of streaming media online teaching, the system adds online auxiliary teaching function, which can realize online text communication, file information management, and learning tracking interaction between teaching and learning. …”
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Reanalysis‐Based Global Radiative Response to Sea Surface Temperature Patterns: Evaluating the Ai2 Climate Emulator by Senne Van Loon, Maria Rugenstein, Elizabeth A. Barnes

“…We perform such simulations with the Ai2 Climate Emulator (ACE), a machine learning‐based emulator trained on ERA5 reanalysis data (ACE2‐ERA5). …”
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Auditory-motor adaptation and de-adaptation for speech depend more on time in the new environment than on the amount of practice by Kwang S. Kim, Nick M. Kitchen, Takashi Mitsuya, Ludo Max

“…Abstract Sensorimotor adaptation is critical for learning and refining voluntary movements. One common assumption is that the number of practice trials fully determines the amount of adaptation. …”
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Tensioned Multi-View Ordered Kernel Subspace Clustering by Liping Chen, Gongde Guo

“…By superimposing the kernel matrix based on the sequential characteristics onto the third-order tensor, the robust low-rank representation for the missing is reconstructed by the matrix calculation of sequential kernel learning. Moreover, the tensor structure helps subspace learning to mine the high-order associations between different views. …”
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Unveiling chromatin dynamics with virtual epigenome by Ming-Yu Lin, Yu-Cheng Lo, Jui-Hung Hung

“…Abstract The three-dimensional organization of chromatin is essential for gene regulation and cellular function, with epigenome playing a key role. Hi-C methods have expanded our understanding of chromatin interactions, but their high cost and complexity limit their use. …”
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A Formal Approach to Optimally Configure a Fully Connected Multilayer Hybrid Neural Network by Goutam Chakraborty, Vadim Azhmyakov, Luz Adriana Guzman Trujillo

“…This paper is devoted to a novel formal analysis, optimizing the learning models for feedforward multilayer neural networks with hybrid structures. …”
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Intelligent Environmental Art Design Combining Big Data and Artificial Intelligence by Yanxia Li

“…The purpose of guiding the innovation of environmental art design thinking is to stimulate students’ learning ability and innovation ability and learn to use design ideas in practice. …”
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Molecular and cellular characteristics of cerebrovascular cell types and their contribution to neurodegenerative diseases by Francisco J. Garcia, Myriam Heiman

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Latest Advances in Cardiac CT by Thomas D Heseltine, Scott W Murray, Balazs Ruzsics, Michael Fisher

“…Furthermore, key insights from large cohort trials have helped delineate cardiovascular disease risk as a function of overall coronary plaque burden and the morphological appearance of individual plaques. …”
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A High-Efficient Method for Synthesizing Multiple Antenna Array Radiation Patterns Simultaneously Based on Convolutional Neural Network by Shiyuan Zhang, Chuan Shi, Ming Bai

“…During training, the cost function is designed to represent the difference between each synthesized radiation pattern and the corresponding target radiation pattern, guiding self-learning. …”
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Developmental Coordination Disorder: Is Clumsy Motor Behavior Caused by a Lesion of the Brain at Early Age? by Mijna Hadders-Algra

“…Simple MND might reflect the lower tail of the normal distribution of the quality of non-pathological brain function. In line with this hypothesis is the finding that simple MND is associated with only a moderately increased risk for learning and behavioral problems. …”
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Lärares lek och barns arbete by Kerstin Botö, Annika Lantz-Andersson, Cecilia Wallerstedt

“…Theoretically, the study is underpinned by a socio-cultural perspective on learning, and the data is comprised of video recordings of the classroom activities. …”
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Kalirin, a Key Player in Synapse Formation, Is Implicated in Human Diseases by Prashant Mandela, Xin-Ming Ma

“…Synapse formation is considered to be crucial for learning and memory. Understanding the underlying molecular mechanisms of synapse formation is a key to understanding learning and memory. …”
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Enhanced object detection in low-visibility haze conditions with YOLOv9s. by Yang Zhang, Bin Zhou, Xue Zhao, Xiaomeng Song

“…Furthermore, the implementation of a nonmonotonic strategy for dynamically adjusting the loss function weights significantly boosts the model's detection precision and training efficiency. …”
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