Enabling Students’ Voices and Identities: Philosophical Inquiry in a Time of Discord, by Arie Kizel (2024), Lexington Books,  Lanham, MD by Tomaž Grušovnik

“…Arie Kizel’s book Enabling Students’ Voices and Identities deserves the full attention not only of teachers of philosophy and Philosophy for/with Children (hereafter P4wC), but also of all educators committed to the democratic and social function of education.…”
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Audiogmenter: a MATLAB toolbox for audio data augmentation by Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan

“…This study aims to help machine learning researchers to improve their models using the algorithms proposed by the authors. …”
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Single-Cell Transcriptomics Unveils the Mechanistic Role of FOSL1 in Cutaneous Wound Healing by Jingbi Meng, Ge Zheng, Yinli Luo, Ling Ge, Zhiqing Liu, Wenhua Huang, Meitong Jin, Yanli Kong, Shanhua Xu, Zhehu Jin, Longquan Pi

“…To elucidate biological pathway activities from gene expression data, we deployed the ‘PROGENy’ package, complemented by machine learning for precise pathway identification. Furthermore, Gene Set Variation Analysis (GSVA) was executed across Hallmark, biological process (BP), molecular function (MF), and cellular component (CC) categories to deepen our understanding of the wound healing process. …”
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A New Framework for Interstellar Medium Emission Line Models: Connecting Multiscale Simulations across Cosmological Volumes by Shengqi Yang, Adam Lidz, Andrew Benson, Yizhou Zhao, Hui Li, Amelia Zhao, Aaron Smith, Yucheng Zhang, Rachel Somerville, Anthony Pullen, Hui Li

“…Finally, we provide forecasts for future line luminosity function measurements from the JWST and quantify the cosmic variance in such surveys.…”
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POU3F4 up-regulates Gli1 expression and promotes neuronal differentiation and synaptic development of hippocampal neural stem cells by Lei Zhang, Jue Wang, Naijuan Xu, Jingjing Guo, Yujian Lin, Xunrui Zhang, Ruijie Ji, Yaya Ji, Haoming Li, Xiao Han, Wen Li, Xiang Cheng, Jianbing Qin, Meiling Tian, Min Xu, Xinhua Zhang

“…Forced expression of Gli1 in hippocampus improved learning and memory function of animal models. Conclusions The results suggest that POU3F4 and Gli1 promote neuronal differentiation and synaptic development of NSCs, and that Gli1 partially mediates the effects of POU3F4. …”
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Effect of Repetitive Transcranial Magnetic Stimulation on Patients with Post-Stroke Cognitive Impairment by Zheyi YU, Weiming ZHANG

“…Before and after treatment, the cognitive function scores of the two groups were compared, the changes of mini-mental state examination (MMSE) and Montreal cognitive function (MoCA) scores were compared, the activities of daily living (ADL) and auditory verbal learning test (AVLT) were observed. …”
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Attention Mechanism and Weighted Trend Loss for Wind Speed Correction by Liu Xu, Yang Hao, Liang Xiaoyun, Chen Jing, Li Qiaoping, Li Ruqing, Chen Min

“…A new weighted trend-based mean squared error loss function is developed to optimize the correction process. …”
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Penerapan Animasi 3D pada Media Pembelajaran Mengenal Huruf Vocal untuk Anak 2-4 Tahun by Riens Pratama, Riana Defi Mahadji Putri

“…In addition there is no media learning in the form of 3D animation. Anticipating these constraints, new learning media is needed using 3D animation. 3D animation can be implanted for the child to learn because in its development period the child has a tendency to emulate and observe so as to facilitate the child in receiving material. …”
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Relationship between cognitive impairments and psychopathological symptoms in female schizophrenia subsequent to 8 weeks treatment with antipsychotic drugs by Shuzhan Gao, Qing Xu, Yanlin Han, Jing Jiang, Fan Wu, Ting Peng, Chenxi Ling, Sulin Ni, Rongrong Zhang, Yidan Ming, Xuzhen Liu, Xijia Xu

“…Psychopathological symptoms and overall cognitive functioning improved significantly (p < 0.05), with the exception of verbal learning and social cognition (p > 0.05). …”
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A Novel Hybrid Approach to Forecasting Crude Oil Prices Using Local Mean Decomposition, ARIMA, and XGBoost by Jawaria Nasir, Muhammad Aamir, Soofia Iftikhar, A. B. Albidah, Ohud A. Alqasem, Maysaa E. A. Elwahab, Ilyas Khan, Wei Sin Koh

“…The analysis of the onset of deep non-linear modeling as a part of the machine learning process demonstrates how the discussed hybrid model successfully acquires relevant data and adapts a non-stationary function. …”
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Fault diagnosis method for rolling bearings based on CWT-IDenseNet by Guangfei JIA, Hanwen LIANG, Jinqiu YANG, Zhe WU, Yuxin HAN

“…Then, the DenseNet network was turned into IDenseNet, the ReLU activation function in the first convolutional block of DenseNet was replaced by the Swish activation function(which was smoother), and the style-based recalibration module (SRM) and the convolutional block attention module (CBAM) were introduced into the DenseNet network. …”
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High resolution genome wide binding event finding and motif discovery reveals transcription factor spatial binding constraints. by Yuchun Guo, Shaun Mahony, David K Gifford

“…An essential component of genome function is the syntax of genomic regulatory elements that determine how diverse transcription factors interact to orchestrate a program of regulatory control. …”
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YOLOv8s-Longan: a lightweight detection method for the longan fruit-picking UAV by Jun Li, Jun Li, Jun Li, Kaixuan Wu, Meiqi Zhang, Hengxu Chen, Hengyi Lin, Yuju Mai, Linlin Shi

“…Meanwhile, the novel Inner-SIoU loss function is proposed as the loss function of the target bounding box.Results and discussionThe experimental results show that the proposed algorithm has good detection ability for densely distributed and mutually occluded longan string fruit under complex backgrounds with a mAP@0.5 of 84.3%. …”
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Technology-Dependent Rehabilitation Involving Action Observation and Movement Imagery for Adults with Stroke: Can It Work? Feasibility of Self-Led Therapy for Upper Limb Rehabilita... by Sheree A. McCormick, Christopher Ireland, Abebaw M. Yohannes, Paul S. Holmes

“…Outcome measures aligned with the residual motor function of participants are required.…”
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Modulation of Second Messenger Signaling in the Brain Through PDE4 and PDE5 Inhibition: Therapeutic Implications for Neurological Disorders by Min Kyu Park, Hyun Wook Yang, Seo Young Woo, Dong Yeon Kim, Dae-Soon Son, Bo Young Choi, Sang Won Suh

“…Among the 11 PDE subtypes, PDE4 and PDE5 are particularly significant due to their regulation of cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP) signaling, respectively, which are vital for learning, memory, and neuroprotection. This review synthesizes current evidence on the roles of PDE4 and PDE5 in neurological health and disease, focusing on their regulation of second messenger pathways and their implications for brain function. …”
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Significant Wave Height Retrieval in Tropical Cyclone Conditions Using CYGNSS Data by Xiangyang Han, Xianwei Wang, Zhi He, Jinhua Wu

“…An enhanced loss function is employed to improve accuracy and mitigate the distribution bias in low-SWH retrieval induced by CDF matching. …”
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Eye movements during the Iowa Gambling Task in Parkinson’s disease: a brief report by Kirby Doshier, Anthony J. Ryals, Vicki A. Nejtek, Michael F. Salvatore, Jerome Lisk

“…However, when analyzed as a function of performance over time, the PD group performed significantly worse by task end, thus suggesting impaired decision-making. …”
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Construction and Simulation of a Strategic HR Decision Model Based on Recurrent Neural Network by Xiaorong Li, Lijun Zhang, Dongchen Li, Dan Guo

“…A strategy for optimizing the training of hybrid convolutional neural networks is proposed, using an exponential linear unit activation function to solve the problem of neuron dead zones, a hybrid pooling strategy is used to improve the problem of feature information loss in maximum pooling processing, and an improved cross-entropy loss function is used to solve the problem of insufficient learning of difficult classification samples. …”
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A New Era of Muscarinic Acetylcholine Receptor Modulators in Neurological Diseases, Cancer and Drug Abuse by Helena Tsimpili, Grigoris Zoidis

“…The cholinergic pathways in the central nervous system (CNS) play a pivotal role in different cognitive functions of the brain, such as memory and learning. …”
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A systematic review of the therapeutic potential of nicotinamide adenine dinucleotide precursors for cognitive diseases in preclinical rodent models by Musaab Abdulrazzaq Qader, Leila Hosseini, Nasrin Abolhasanpour, Farnaz Oghbaei, Leila Maghsoumi-Norouzabad, Hanieh Salehi-Pourmehr, Fatemeh Fattahi, Reza Naghdi Sadeh

“…Studies have revealed that treatment with NAD+ rescues cognitive deficits by inhibiting inflammation, oxidative stress, and apoptosis and improving mitochondrial function. Preclinical evidence has demonstrated that treatment with NAD+ precursors may be more effective in learning and memory recovery in AD, TBI, diabetes, aging, VAD, and schizophrenia. …”
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