A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges by Zongxu Liu, Hui Guo, Yingshuai Zhang, Zongliang Zuo

“…Machine learning methods, especially deep learning approaches such as Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), and ensemble learning techniques like XGBoost, excel in addressing the nonlinearity and complexity of wind power data. …”
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Photophysics of O-band and transition metal color centers in monolithic silicon for quantum communications by Murat Can Sarihan, Jiahui Huang, Jin Ho Kang, Cody Fan, Wei Liu, Khalifa M. Azizur-Rahman, Baolai Liang, Chee Wei Wong

“…Abstract Color centers in the O-band (1260–1360 nm) are crucial for realizing long-coherence quantum network nodes in memory-assisted quantum communications. However, only a limited number of O-band color centers have been thoroughly explored in silicon hosts as spin-photon interfaces. …”
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Deep Learning the Forecast of Galactic Cosmic-Ray Spectra by Yi-Lun Du, Xiaojian Song, Xi Luo

“…We introduce a novel deep learning framework based on long short-term memory networks to predict galactic cosmic-ray spectra on a one-day-ahead basis by leveraging historical solar activity data, overcoming limitations inherent in traditional transport models. …”
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Assessing the Role of Vaccination in the Control of Hand, Foot, and Mouth Disease Transmission by Zuhur Alqahtani, Mahmoud H. DarAssi, Yousef AbuHour, Areej Almuneef

“…The fractional-order model captures the memory effect in infectious disease dynamics, providing further insight into modeling HFMD transmission compared to a traditional integer-order model. …”
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Deep Learning-Based English-Chinese Translation Research by Yao Huang, Yi Xin

“…The short and long-term memory networks cannot reflect the information weight problems in long-distance sequences. …”
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Accelerating ray tracing engine of BLENDER on the new Sunway architecture by Zhaoqi Sun, Zhen Wang, Mengyuan Hua, Puyu Xiong, Wubing Wan, Ping Gao, Wenlai Zhao, Zhenchun Huang, Lin Han

“…We propose optimizations that are tailored to the new hardware architecture, including a multi‐level parallel scheme that efficiently maps and scales Blender onto the novel Sunway architecture, strategies to address memory bottlenecks, a revised task dispatching method that achieves excellent load balancing, and a pipeline approach that maximizes computation and communication overlap. …”
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Constituer des archives en sexologie francophone : un essai d’autoethnographie by Alain Giami

“…For the few who have accumulated documents related to their profession, reflection on the archives allows them to reactivate their professional memory, to project themselves into the near future (writing work) or to inscribe their legacy in a project of eternity with the construction of a mausoleum in honor of their person and their work, ensured by their disciples. …”
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Suicide Research and Adolescent Suicide Trends in New Zealand by Said Shahtahmasebi

“…Suicide time series appear to have a memory compounded with seasonal and cyclic effects. …”
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HTLV-1 bZIP factor induces T-cell lymphoma and systemic inflammation in vivo. by Yorifumi Satou, Jun-Ichirou Yasunaga, Tiejun Zhao, Mika Yoshida, Paola Miyazato, Ken Takai, Kei Shimizu, Koichi Ohshima, Patrick L Green, Naganari Ohkura, Tomoyuki Yamaguchi, Masahiro Ono, Shimon Sakaguchi, Masao Matsuoka

“…In HBZ-transgenic mice, CD4+Foxp3+ T(reg) cells and effector/memory CD4+ T cells increased in vivo. As a mechanism of increased T(reg) cells, HBZ expression directly induced Foxp3 gene transcription in T cells. …”
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Design of a Finite-Time Bounded Tracking Controller for Time-Delay Fractional-Order Systems Based on Output Feedback by Jiang Wu, Hao Xie, Tianyi Li, Wenjian He, Tiancan Xi, Xiaoling Liang

“…Based on the output equation of the original system and the error signal, an output equation for the error system is constructed, and a memory-based output feedback controller is designed by means of this equation. …”
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Attention-Based Hybrid Deep Learning Models for Classifying COVID-19 Genome Sequences by A. M. Mutawa

“…<b>Results</b>: The results indicate that the Convolutional neural network (CNN) with Bidirectional long short-term memory (BLSTM) with attention layer (CNN-BLSTM-Att) achieved an accuracy of 99.99%, which outperformed the other models. …”
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Trimeric Tau Is Toxic to Human Neuronal Cells at Low Nanomolar Concentrations by Huilai Tian, Eliot Davidowitz, Patricia Lopez, Sharareh Emadi, James Moe, Michael Sierks

“…Recent studies show that extracellular oligomeric tau can inhibit memory formation and synaptic function and also transmit pathology to neighboring neurons. …”
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Edge and texture aware image denoising using median noise residue U-net with hand-crafted features by Soniya S., Sriharipriya K. C.

“…This, in turn, increases the computational complexity and memory requirement. Therefore, we propose the Median Noise Residue U-Net (MNRU-Net) with a limited training database without involving image augmentation. …”
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Phonological Processing and Word and Non-Word Reading Ability among Farsi-Speaking Children with Cochlear Implants, Hearing Aids and Normal Hearing by Elham Masoumi, Asghar Haghjoo, Zahra Soleymani

“…Phonological Awareness (PA) and Phonological Working Memory (PWM) tests were used to assess phonological processing. …”
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Chronic Exposure to Arsenic in Drinking Water Causes Alterations in Locomotor Activity and Decreases Striatal mRNA for the D2 Dopamine Receptor in CD1 Male Mice by Claudia Leticia Moreno Ávila, Jorge H. Limón-Pacheco, Magda Giordano, Verónica M. Rodríguez

“…Arsenic exposure has been associated with sensory, motor, memory, and learning alterations in humans and alterations in locomotor activity, behavioral tasks, and neurotransmitters systems in rodents. …”
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Intelligent energy management in IoT-enabled smart homes: Anomaly detection and consumption prediction for energy-efficient usage by Laviza Falak Naz, Rohail Qamar, Raheela Asif, Saman Hina, Muhammad Imran, Saad Ahmed

“…We propose a novel approach that combines the advantages of the Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) models for accurate consumption forecasting. …”
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Conductive filament formation in the failure of Hf0.5Zr0.5O2 ferroelectric capacitors by Matthew Webb, Tony Chiang, Megan K. Lenox, Jordan Gray, Tao Ma, Jon F. Ihlefeld, John T. Heron

“…Ferroelectric materials provide pathways to higher performance logic and memory technologies, with Hf0.5Zr0.5O2 being the most popular among them. …”
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Skeletal, Dental, and Soft Tissue Changes after Slow Maxillary Expansion in Early Mixed Dentition by Özgür Kocaali, Nurver Karslı

“…Objective: This study aimed to evaluate the skeletal, dental, and soft tissue effects of the nickel titanium memory Leaf Expander in a growing sample of patients with unilateral posterior crossbite compared with a control group using digital models and lateral cephalometric radiographs. …”
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Collaborative forecasting management model for multi‐energy microgrid considering load response characterization by Huiyu Bao, Yi Sun, Jie Peng, Xiaorui Qian, Peng Wu

“…It proposes multiple iterations of data, fits the dynamic environment of MEMG by continuously improving the long short‐term memory (LSTM) neural network based on knowledge distillation (KD) architecture, and then optimizes the MEMG state space by considering the knowledge of load response characteristics, Furthermore, it combines multi‐agent deep deterministic policy gradient (MADDPG) with horizontal federated (hF) learning to co‐train multi‐MEMG, addressing the issues of training efficiency during co‐training. …”
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Feasibility study of PET/CT for the detection and localization of nervous system damage caused by trimethyltin chloride by Anqing Liu, Qingqiang Tu, Ming Huang

“…The results showed that TMT decreased glucose uptake in a wide range of brain tissues in rats, and impaired the memory, muscle strength, coordination ability and emotion of rats. …”
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