Edge-Preserving Probabilistic Downsampling for Reliable Medical Segmentation in Resource-Constrained Environments by Shahzad Ali, Yu Rim Lee, Soo Young Park, Won Young Tak, Soon Ki Jung

“…Downsampling, often necessitated due to resource constraints such as limited memory, development timelines, or the need to accelerate learning from large volumes of unlabeled medical data, results in the loss of fine-grained details, including small objects and thin class boundaries. …”
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Short-term solar irradiance forecasting using deep learning models by Syed Saad Ahmed, Chang Wei Bin, Nisar Humaira, Riaz Hannan Naseem, Yeap Kim Ho, Zaber Nursaida Mohamad

“…A Dense Neural Network (DNN) with 32 units achieved a validation MAE of 21.33 and MSE of 1343.68 in the 6th fold. Long-Short Term Memory (LSTM) with 256 units achieved a validation MAE of 8.23 and MSE of 246.98 in the 7th fold. …”
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Digital cognitive training in children with attention-deficit/hyperactivity disorder: a study protocol of a randomised controlled trial by Sally Richmond, Hannah Kirk, Kim Cornish, Mark A Bellgrove, Tori Gaunson, Meg Bennett

“…Assessments of the primary outcome (ie, attention and inhibitory control) and secondary outcomes (ie, selective attention, interference control, sustained attention, inhibition, behavioural attention, impairment in everyday functioning, working memory and executive functioning) will occur at preintervention, immediately postintervention and at 3-month follow-up. …”
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Deep learning solutions for inverse problems in advanced biomedical image analysis on disease detection by Amal Alshardan, Hany Mahgoub, Nuha Alruwais, Abdulbasit A. Darem, Wafa Sulaiman Almukadi, Abdullah Mohamed

“…Furthermore, a bidirectional long short-term memory (BiLSTM) model is deployed to identify diseases in medical images. …”
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Temporal Convolutional Network Approach to Secure Open Charge Point Protocol (OCPP) in Electric Vehicle Charging by Ikram Benfarhat, Vik Tor Goh, Chun Lim Siow, Muhammad Sheraz, Teong Chee Chuah

“…Several machine learning models, including convolutional neural networks, recurrent neural networks, and long short-term memory, have been employed to enhance EVCS security. …”
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TCN-Based DDoS Detection and Mitigation in 5G Healthcare-IoT: A Frequency Monitoring and Dynamic Threshold Approach by Mirza Akhi, Ciaran Eising, Lubna Luxmi Dhirani

“…This research evaluates the proposed model against prior methods, including Bidirectional Long Short-Term Memory (BiLSTM) and Convolutional Neural Networks (CNNs), demonstrating improved accuracy. …”
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Evaluation of Comparative Efficacy of Ashwagandha (Withania somnifera) vs Brahmi (Bacopa monnieri Linn) on Stress Level and Quality of Sleep in the Subjects Experiencing Mental Str... by Mohnish Vijay Gokhale, Vaishali Kuchewar, Pankaj Yadav, Bhishmani Tarare

“…Sleep deprivation causes loss of sleep-dependent processes in the hippocampus and pyriform cortex, which are responsible for memory and perception. N eed of the Study: Everyone in today’s world has stress and insufficient sleep as a result of their work load, hectic lifestyle, adoption of sedentary habits and other factors. …”
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An optimized deep-forest algorithm using a modified differential evolution optimization algorithm: A case of host-pathogen protein-protein interaction prediction by Jerry Emmanuel, Itunuoluwa Isewon, Jelili Oyelade

“…However, deep forest-based models have limitations such as manual hyperparameter optimization and time and memory usage inefficiencies. Bayesian optimization is a widely used model-based hyperparameter optimization method. …”
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Effective Connectivity Study Guiding the Neuromodulation Intervention in Figurative Language Comprehension Using Optical Neuroimaging by Tania Alexandra Couto, Shiyang Xu, Paulo Armada da Silva, Chenggang Wu, Karl Neergaard, Meng-Yun Wang, Juan Zhang, Yutao Xiang, Zhen Yuan

“…Finally, bottom-up mechanisms seem activated by logographic-semantic processing in literal meanings and memory storage centres in meaningless comprehension. …”
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Mechanistic insights into pachymic acid’s action on triple-negative breast Cancer through TOP2A targeting by Ming Liu, Li Zheng, Yang Zhang, Jinhui Tian

“…PA probably exert its therapeutic effects through the tumor immune microenvironment, involving elements such as Dendritic cells activated, Eosinophils, Macrophages M0, Macrophages M1, and T cells CD4 memory activated. The therapeutic effects of PA may vary across different subtypes of TNBC such as TNBC-BL1, TNBC-Metaplastic, and TNBC-BL2. …”
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Neuropsychiatric Manifestations of Partial Agenesis of the Corpus Callosum: A Case Report and Literature Review by Olusegun Popoola, Olaniyi Olayinka, Heela Azizi, Chiedozie Ojimba, Tasmia Khan, Jisha Kallikkadan, Maleeha Ahmad, Joshua Jay, Cecilia Canale, Sherina Langdon, Alexa Kahn, Deepa Nuthalapati, Sinthuja Jayaraj, Ayesha Mahbub, Olalekan Olaolu, Kodjovi Kodjo, Tolu Olupona, Carolina Nisenoff, Ayodeji Jolayemi

“…We present the case of a patient with partial agenesis of the corpus callosum who exhibits depressed mood, transient loss of memory, and history of cognitive, social, and behavioral disturbances that developed during his childhood. …”
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A Prediction Model of Relativistic Electrons at Geostationary Orbit Using the EMD‐LSTM Network and Geomagnetic Indices by H. Zhang, H. R. Xu, G. S. Peng, Y. D. Qian, X. X. Zhang, G. L. Yang, C. Shen, Z. Li, J. W. Yang, Z. Q. Wang, F. He, C. L. Gu, M. B. Zhu

“…Abstract In this study, the Empirical Mode Decomposition algorithm (EMD) and the Long Short Term Memory neural network (LSTM) are combined into an EMD‐LSTM model, to predict the variation of the >2 MeV electron fluxes 1 day ahead. …”
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Accelerating AI-Based Battery Management System’s SOC and SOH on FPGA by Satyashil D. Nagarale, B. P. Patil

“…This article presents an experimental study for the artificial intelligence (AI)-based data-driven prediction of lithium battery parameters SOC and SOH with the help of deep learning algorithms such as Long Short-Term Memory (LSTM) and bidirectional LSTM (BiLSTM). We utilized various gradient descent optimization algorithms with adaptive and constant learning rates with other default parameters. …”
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Prediction analysis of human brucellosis cases in Ili Kazakh Autonomous Prefecture Xinjiang China based on time series by Lian Lu, Tongxia Yang, Zhisheng Chen, Qidi Ge, Jing Yang, Gan Sen

“…Three distinct predictive modeling techniques—Seasonal Autoregressive Integrated Moving Average (SARIMA), eXtreme Gradient Boosting (XGBoost), and Long Short-Term Memory (LSTM) networks—were employed for long-term forecasting. …”
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Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification by Yasser Abduallah, Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Vania K. Jordanova, Vasyl Yurchyshyn, Huseyin Cavus, Ju Jing

“…Abstract We propose a novel deep learning framework, named SYMHnet, which employs a graph neural network and a bidirectional long short‐term memory network to cooperatively learn patterns from solar wind and interplanetary magnetic field parameters for short‐term forecasts of the SYM‐H index based on 1‐ and 5‐min resolution data. …”
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Understanding Cognition, Oxytocin, and Pain in Elders (UCOPE): protocol for a double-blinded cross-over trial in chronic knee osteoarthritis pain by Yenisel Cruz-Almeida, Soamy Montesino-Goicolea, Pedro Valdes-Hernandez, Zhiguang Huo, Roland Staud, Natalie C. Ebner

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Effect of ubiquitin-specific proteinase 43 on ovarian serous adenocarcinoma and its clinical significance by Qin Li, Wenhao Li, Jiahao Wang, Wenjing Shi, Taorong Wang

“…USP43 was also identified as a booster of CD4+ T memory resting cell infiltration, while concurrently reducing M1 macrophages within cancer, thereby fostering a milieu with relatively immune suppressive traits. …”
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A lightweight prosthetic hand with 19-DOF dexterity and human-level functions by Hao Yang, Zhe Tao, Jian Yang, Wenpeng Ma, Haoyu Zhang, Min Xu, Ming Wu, Shuaishuai Sun, Hu Jin, Weihua Li, Liu Wang, Shiwu Zhang

“…Here, we develop a lightweight prosthetic hand that possesses biomimetic 19-DOF dexterity by integrating 38 shape-memory alloy (SMA) actuators to precisely control five fingers and the wrist. …”
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Can Table Tennis Extend Lifespan? An Analysis of Its Impact on Physical Health, Brain Function, and Mental Well-being by Patrycja Marta, Agata Ossolińska, Filip Huzarski, Gabriela Ferfecka, Klaudia Pawełek, Lucyna Stolarska, Magdalena Rosa-Bończak, Natalia Morawiecka, Olivier Carlton, Weronika Kłosowicz

“…The sport stimulates cognitive functions such as reflexes, anticipation, and memory, with studies confirming its positive effects on individuals with Parkinson's disease, dementia, or mild cognitive impairment. …”
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A cognitive model of perceptual anomalies: The role of source monitoring, top-down influence and inhibitory processes for hallucinations in schizophrenia spectrum disorders and hal... by Adrianna Aleksandrowicz, Joachim Kowalski, Steffen Moritz, Izabela Stefaniak, Łukasz Gawęda

“…Methods: Eighty-nine patients with schizophrenia spectrum disorders (SSD) were divided into two groups based on AHs presence - 46 with AHs and 43 - non-hallucinating, 43 matched healthy controls (HC), and a sample selected from the general population of 40 participants with high HLEs and 43 with low HLEs performed three experimental tasks assessing top-down processes (False Perception Task - FPT), source monitoring (Action Memory Task - AMT), and inhibitory control (Go/No-Go Task). …”
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