Large and Small Dendritic Spines Serve Different Interacting Functions in Hippocampal Synaptic Plasticity and Homeostasis by Joshua J. W. Paulin, Peter Haslehurst, Alexander D. Fellows, Wenfei Liu, Joshua D. Jackson, Zelah Joel, Damian M. Cummings, Frances A. Edwards

“…The laying down of memory requires strong stimulation resulting in specific changes in synaptic strength and corresponding changes in size of dendritic spines. …”
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Clinical and Imaging Prognosis in Patients with Delayed Encephalopathy after Acute Carbon Monoxide Poisoning by Jinzhi Liu, Zhihua Si, Jie Liu, Yan Lin, Jing Yuan, Shan Xu, Yan He, Tao Zhang, Aihua Wang

“…The patients had diverse clinical manifestations, including memory deficits, personality changes, cognitive or executive function deficits, mood disorders, Parkinsonism, dystonia or other motor impairments, and akinetic mutism. …”
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Combined delivery of IL12 and an IL18 mutant without IL18BP-binding activity by an adenoviral vector enhances tumor specific immunity by Yan Cheng, Renjie Luo, Erguang Li

“…Importantly, mice that had tumor regression after oAd.DR18/IL12 treatment established anti-tumor specific immune memory. These results show that adenovirus armed with engineered cytokines boosts tumor specific immunity and antitumor effect.…”
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Neurocognitive Deficits in Individuals at Ultra-High-Risk for Psychosis: An Overview of Systematic Reviews by Farnaz Asadiof, Mona Zamanpour, Ali Fawzi Al-Hussainy, Alhan Abd Al-Hassan Shalal, Mohammed Ubaid, Zinab Aluquaily, Seyed Hamidreza Hashemian

“…Results: Neurocognitive deficits, including impairments in working memory, attentional control, verbal learning, and executive functions, have been consistently identified as predictors of psychosis conversion in individuals at UHRP. …”
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A Hidden Surveillant Transmission Line Protection Layer for Cyber-Attack Resilience of Power Systems by Hossein Ebrahimi, Sajjad Golshannavaz, Amin Yazdaninejadi, Edris Pouresmaeil

“…Therefore, at the outset, this article employs a deep-learning-based fault detection and classification method using a bidirectional long short-term memory (Bi-LSTM) model to achieve high accuracy with only local transmission line current measurements. …”
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Sugar conditioning combined with nectar nonsugar compounds enhances honey bee pollen foraging in a nectarless diocious crop by Facundo Verellen, Florencia Palottini, M. Cecilia Estravis-Barcala, Walter M. Farina

“…It is known that combined non-sugar compounds (NSCs) present in the floral products of different plants, such as caffeine and arginine, enhance olfactory memory retention in honey bees. Additionally, these NSCs presented in combination with scented food improve pollination activity in nectar crops. …”
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The mRNA-1647 vaccine: A promising step toward the prevention of cytomegalovirus infection (CMV) by Adewunmi Akingbola, Abiodun Adegbesan, Olajumoke Adewole, Kolade Adegoke, Akpevwe Emmanuella Benson, Paul Ayomide Jombo, Sandra Uchechukwu Eboson, Victor Oluwasola, Ademola Aiyenuro

“…The mRNA-1647 vaccine triggered strong T-cell and memory B-cell responses, suggesting its potential for long-term protection against CMV infection. …”
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Process-dependent ferroelectric and memristive properties in polycrystalline Ca:HfO2-based devices by C. Ferreyra, M. Badillo, M. Badillo, M. J. Sánchez, M. J. Sánchez, M. Acuautla, B. Noheda, B. Noheda, D. Rubi

“…Memristors are considered key building blocks for developing neuromorphic or in-memory computing hardware. Here, we study the ferroelectric and memristive response of Pt/Ca:HfO2/Pt devices fabricated on silicon by spin-coating from chemical solution deposition followed by a pyrolysis step and a final thermal treatment for crystallization at 800°C for 90 s. …”
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Clove oil as a neuromodulator in environmental cadmium cognitive impairment on the prefrontal cortex of Wistar rats by Obinna O. Uchewa, Chinedu B. Egwuagu, Ogugua A. EGWU, Augustine O. Ibegbu

“…Sociability Chamber Tests (SCT) and Novel Object Recognition Tests (NORT) were used to test recognition memory as social behavior in rodents. The estimated GST, GPx, GSH, and GOT enzymes were by blood sample. …”
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Electroencephalographic markers in Major Depressive Disorder: insights from absolute, relative power, and asymmetry analyses by Mehmet Akif Özçoban, Oğuz Tan

“…This study highlights that beyond the commonly used alpha asymmetry, theta and beta asymmetry can also provide valuable insights into the neurophysiological effects of MDD, aligning with previous neuroimaging studies that indicate impairments in memory, attention, and neuroanatomical connectivity in MDD. …”
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Molecular Hydrogen Modulates T Cell Differentiation and Enhances Neuro-Regeneration in a Vascular Dementia Mouse Model by Dain Lee, Hyunjun Jo, Jong-Il Choi

“…Behavioral assessments using open field and novel object recognition tests revealed that VaD mice exhibited anxiety-deficient behavior and memory impairment, both of which were reversed by H₂ treatment. …”
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Evidence from a mouse model supports repurposing an anti-asthmatic drug, bambuterol, against Alzheimer’s disease by administration through an intranasal route by Anne-Claire Groo, Thomas Curel, Aurélie Malzert-Fréon, Line Séguy, Ophélie Bento, Sophie Corvaisier, Thomas Culerier, Romain Legrand, Noëlle Callizot, Alexandre Henriques, Georgia Culley, Sylvie Claeysen, Christophe Rochais, Patrick Dallemagne

“…Finally, intranasal administration of low doses of bambuterol gel in mice intoxicated with Aβ peptides, prevented long-term spatial memory impairment and showed beneficial effects on the survival of neurons and on synapse preservation.…”
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Data‐Driven Forecasting of Low‐Latitude Ionospheric Total Electron Content Using the Random Forest and LSTM Machine Learning Methods by Gebreab K. Zewdie, Cesar Valladares, Morris B. Cohen, David J. Lary, Dhanya Ramani, Gizaw M. Tsidu

“…Abstract In this research, we present data‐driven forecasting of ionospheric total electron content (TEC) using the Long‐Short Term Memory (LSTM) deep recurrent neural network method. …”
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Stock volatility as an anomalous diffusion process by Rubén V. Arévalo, J. Alberto Conejero, Òscar Garibo-i-Orts, Alfred Peris

“…Our architecture combines convolutional and recurrent neural networks (bidirectional long short-term memory units). Our model computes the diffusion exponent of a financial time series to measure its volatility and it categorizes market movements into five diffusion models: annealed transit time motion (ATTM), continuous time random walk (CTRW), fractional Brownian motion (FBM), Lévy walk (LW), and scaled Brownian motion (SBM).Our findings suggest that the diffusion exponent derived from anomalous diffusion processes provides insightful and novel perspectives on stock market volatility. …”
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Forecasting mental states in schizophrenia using digital phenotyping data. by Thierry Jean, Rose Guay Hottin, Pierre Orban

“…Besides it remains unclear which machine learning algorithm is best suited for forecast tasks, the eXtreme Gradient Boosting (XGBoost) and long short-term memory (LSTM) algorithms being 2  popular choices in digital phenotyping studies. …”
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Contemporary comprehensive approaches to assessing the effectiveness of experimental model of neurodegenerative disorders with cognitive status changes by M. V. Danukalo, Yu. M. Kolesnyk, O. V. Hancheva

“…At the same time, the animals in the second group showed significant cognitive impairments compared to the first group, as indicated by significantly lower memory index values, the number of correct entries into the maze arms, and a significantly longer time to make the first correct entry into the maze arm. …”
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Multimodal consumer choice prediction using EEG signals and eye tracking by Syed Muhammad Usman, Shehzad Khalid, Aimen Tanveer, Ali Shariq Imran, Muhammad Zubair

“…Handcrafted features, including statistical and wavelet features, and automated features from Convolutional Neural Network and Long Short-Term Memory (CNN-LSTM), have been extracted and concatenated to generate a feature space representation. …”
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Normalized difference vegetation index prediction using reservoir computing and pretrained language models by John Olamofe, Ram Ray, Xishuang Dong, Lijun Qian

“…Using MODIS/Terra Vegetation Indices 16-Day L3 Global 250 m SIN Grid V061 dataset, we designed and implemented Reservoir Computing (RC) models and transformer-based models including pretrained language model, and compared the prediction performance of these models to traditional machine learning and deep learning methods such as Nonlinear Regression, Decision Tree, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) network, and DLinear. It is observed that the DLinear/LSTM model showed exceptional predictive accuracy, while the pretrained RC model significantly enhanced traditional RC model forecasts. …”
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Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble by Mona Ahamd Alghamdi, Abdullah S. AL-Malaise AL-Ghamdi, Mahmoud Ragab

“…The proposed model is an implementation of the stacked Long Short-Term Memory (LSTM) snapshot ensemble combined with the Fast Fourier Transform (FFT) and meta-learner. …”
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Software refactoring prediction evaluation method based on deep learning models by Yichi ZHANG, Yang ZHANG, Yanlei LI, Kun ZHENG, Wei LIU

“…Secondly, convolutional neural network (CNN), long short-term memory (LSTM) network, gated recurrent unit (GRU) model, multilayer perceptron(MLP), and autoencoder(AE) were trained and tested on the datasets. …”
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