Primary Cognitive Factors Impaired after Glioma Surgery and Associated Brain Regions by Chiharu Niki, Takatsune Kumada, Takashi Maruyama, Manabu Tamura, Takakazu Kawamata, Yoshihiro Muragaki

“…The second cognitive component affected verbal memory, and verbal fluency tasks and VLSM analysis indicated two different significant regions, the medial temporal regions and the middle temporal gyrus to the posterior parietal lobes. …”
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A novel anti-epileptogenesis strategy of temporal lobe epilepsy based on nitric oxide donor by Xian-Hui Zhu, Ya-Ping Zhou, Qiao Zhang, Ming-Yi Zhu, Xiao-Wei Song, Jun Li, Jiang Chen, Yun Shi, Kang-Jian Sun, Yong-Jie Zhang, Jing Zhang, Tian Xia, Bao-Sheng Huang, Fan Meng, Qi-Gang Zhou

“…Replenishment of hilar nNOS protein blocked epileptogenic development and memory impairment in pilocarpine-induced TLE mice. …”
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A 7-Amino Acid Peptide Mimic from Hepatitis C Virus Hypervariable Region 1 Inhibits Mouse Lung Th9 Cell Differentiation by Blocking CD81 Signaling during Allergic Lung Inflammation by Wanzhou Zhao, Conghao Tan, Xi Yu, Ruihe Yu, Qibing Mei, Yun Cheng

“…Administration of 7P significantly reduced Th9 cell differentiation after OVA sensitization and exposure. 7P also inhibited Th9 cell differentiation from naïve and memory CD4+ T cells in vitro. Furthermore, 7P inhibited the differentiation of human Th9 cells with high CD81 expression from naïve CD4+ T cells by blocking CD81 signaling. …”
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Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

“…Employed techniques encompass Logistic Regression (LR), K-Nearest Neighbor (KNN), Extreme Gradient Boosting (XGB), Light Gradient Boosting Machine (LGBM), in conjunction with deep learning architectures such as Long Short-Term Memory (LSTM) and Artificial Neural Network (ANN). …”
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Research Progress on the Brain Effect Mechanism of Tai Chi Chuan Training by WANG Yajun, XU Shurui, LIU Jiao

“…The study of task-state functional MRI showed that Tai Chi Chuan had a regulatory effect on the brain regions and networks which was related to memory and executive function processing. In addition, other studies showed that long-term Tai Chi Chuan training not only had plasticity changes on brain functional network, but also had plasticity changes on the volume of brain gray matter and white matter morphology. …”
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Identification of tacrolimus-related genes in familial combined hyperlipidemia and development of a diagnostic model using bioinformatics analysis by Yuan Xu, Hongfei He, Haiyang Li

“…Results: We screened 14 statistically significant key genes, built a reliable risk model, and grouped the dataset into categories at high and low risk for hyperlipidemia development. FCHL was linked to memory B and immature B immune cells. The gene set variation analysis revealed two pathways associated with cholesterol homeostasis and the complement system that were closely associated with the potential functions of FCHL and tacrolimus-related differentially expressed genes. …”
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TLR7/8/9 agonists and low-dose cisplatin synergistically promotes tertiary lymphatic structure formation and antitumor immunity by Shuting Wu, Rong Xiang, Yiwei Zhong, Shushu Zhao, Zhiyu Zhang, Zhihua Kou, Shijie Zhang, Yi Zhao, Cheng Zu, Gan Zhao, Yanling Xiao, Sulin Ren, Xiaoming Gao, Bin Wang

“…Moreover, combo-therapy led to full regression of 4T-1 tumors in a large percentage of mice, who became strongly resistant to secondary tumor challenge, a clear indication of antitumor immunological memory. The cisplatin+CR108 combo therapy holds promise in converting “cold” tumors into “hot” ones and eliciting robust antitumor immune responses in vivo.…”
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Time series forecasting of Valley fever infection in Maricopa County, AZ using LSTMResearch in context by Xueting Jin, Fangwu Wei, Srinivasa Srivatsav Kandala, Tejas Umesh, Kayleigh Steele, John N. Galgiani, Manfred D. Laubichler

“…Methods: We utilized Long Short-Term Memory (LSTM) networks to forecast CM cases, based on the daily pneumonia cases in Maricopa County, Arizona from 2020 to 2022. …”
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Chronic effects of school physical activity on cognitive performance in youngs: a systematic review protocol by Fernando William Flores Silva, Ricardo Martins, Rochelle Rocha Costa, Carlos Cristi-Montero, Júlio Brugnara Mello

“…Studies that meet the following predefined criteria (PICOS criteria) will be included: 1) studies conducted with healthy children and adolescents (6-18 years-old), 2) studies with physical activity interventions in school, 3) studies conducted with a control group, and 4) studies with cognitive flexibility, working memory, inhibitory control and attention outcomes. …”
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SUGT1 is a prognostic biomarker and is associated with immune infiltrates in ovarian cancer by Linyan Ge, Xiu Liu, Lingyan Zhang, Jiaren Zhang, Guanghui Song

“…Besides, ssGSEA demonstrated a positive correlation between SUGT1 expression and the abundance of T central memory cells, natural killer cells, and T gamma delta cells, although it showed a negative association with activated dendritic cells, cytotoxic cells, T cells, and T helper 1 cells. …”
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Physical activity and the outcome of cognitive trajectory: a machine learning approach by Bettina Barisch-Fritz, Jay Shah, Jelena Krafft, Yonas E. Geda, Teresa Wu, Alexander Woll, Janina Krell-Roesch

“…., attention/ executive function, language, visuospatial skills, memory) assessed by standardized tests. A Support Vector Machine model was used to perform the classification of each primary outcome into the two classes of decline and non-decline. …”
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Enhancing Drought Forecast Accuracy Through Informer Model Optimization by Jieru Wei, Wensheng Tang, Pakorn Ditthakit, Jiandong Shang, Hengliang Guo, Bei Zhao, Gang Wu, Yang Guo

“…This study employed the Informer model to forecast drought and conducted a comparative analysis with Autoregressive Integrated Moving Average (ARIMA), long short-term memory (LSTM), and Convolutional Neural Network (CNN) models. …”
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Shifted dominant flood drivers of an alpine glacierized catchment in the Tianshan region revealed through interpretable deep learning by Wenting Liang, Weili Duan, Yaning Chen, Gonghuan Fang, Shan Zou, Zhi Li, Zewei Qiu, Haodong Lyu

“…To address this, a SWAT-Glacier hydrological model and a degree–day factor model were used for snowmelt, glacier meltwater, and rainfall calculations. Two Long Short-Term Memory (LSTM) models (LSTM-SG and LSTM-DDF) were developed using these inputs, and additive decomposition and integrated gradient methods were applied to interpret flood mechanisms. …”
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TCAD Simulation Study of Cylindrical Vertical Double-Surrounding-Gate a-InGaZnO FETs and Geometric Parameter Optimization by Yue Zhao, Lihua Xu, Chuanke Chen, Xufan Li, Kexin Shang, Di Geng, Lingfei Wang, Ling Li

“…These results will boost a design technology co-optimization flow of the future DSG-a-IGZO-FET-based extremely large-scale and high-density M3D memory.…”
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Risk Factors and Characteristics Associated with Visual Impairment and Eye Diseases in Moyamoya Disease: Insights from a National Database by Youyi Song, Xin Yang, Hongzhu Yang, Hongyun Mei, Xuedan Lu, Hao Xie, Qinfeng Yang, Wenbin Duan

“…Visual impairment and eye diseases in moyamoya disease were associated with ischemic stroke (OR = 2.001, 95% CI 1.564–2.560), hypertension (OR = 1.508, 95% CI 1.089–2.088), headache (OR = 2.834, 95% CI 1.968–4.081), migraine (OR = 2.156, 95% CI 1.544–3.011), memory loss (OR = 3.866, 95% CI 1.493–10.012), and dizziness (OR = 1.322, 95% CI 0.549–3.182). …”
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How and why a multifaceted intervention to improve adherence post-MI worked for some (and could work better for others): an outcome-driven qualitative process evaluation by Holly O Witteman, Laura Desveaux, Justin Presseau, Noah Michael Ivers, Marianne Saragosa, Kirstie Russell, Nicola McCleary, J-D Schwalm

“…To reach a broader and more diverse population, future iterations of the intervention should target aberrant beliefs about consequences, memory and decision-making and emotion.Trial registration number ClinicalTrials.gov registry; NCT02382731…”
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Approximate Solutions of Combinatorial Problems via Quantum Relaxations by Bryce Fuller, Charles Hadfield, Jennifer R. Glick, Takashi Imamichi, Toshinari Itoko, J. Richard Thompson, Yang Jiao, M. Marna Kagele, W. Blom-Schieber Adriana, Rudy Raymond, Antonio Mezzacapo

“…The proposed quantum relaxations inherit memory compression from quantum random access codes, which allowed us to test the performances of the methods presented for 3-regular random graphs and a design problem motivated by industry for sizes up to 40 nodes, on superconducting quantum processors.…”
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Penggunaan Compressive Sensing pada Pengenalan Huruf dengan Tulisan Tangan Menggunakan Metode K-Nearest Neighbor by Zalfa Alif Muhammad, Gelar Budiman, Sofia Saidah

“…Kehidupan manusia membutuhkan informasi dengan cepat dan tepat, maka data dimanfaatkan agar tidak memakan banyak kapasitas bandwidth dan memori saat sampai di server. Dalam penelitian ini, dilakukan kompresi dengan teknik CS (Compressive Sensing). …”
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Exploring the Kidney-Brain Crosstalk: Biomarkers for Early Detection of Kidney Injury-Related Alzheimer’s Disease by Cai Y, Huang G, Ren M, Chai Y, Fu Y, Yan T, Zhu L

“…These biomarkers are associated with NK_cells_resting and B_cells_memory and could be targeted for intervention in KI-related AD by treating gefitinib and plumbagin.Conclusion: Our study elucidates that ferroptosis may be an important pathway for kidney-brain crosstalk. …”
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Machine Learning Based Modeling of Thermospheric Mass Density by Qian Pan, Chao Xiong, Hermann Lühr, Artem Smirnov, Yuyang Huang, Chunyu Xu, Xu Yang, Yunliang Zhou, Yang Hu

“…Abstract In this study, we propose a machine learning based approach to construct an empirical model of thermospheric mass densities, based on the MultiLayer Perceptron and bi‐directional Long Short‐Term Memory for ensemble learning model (MBiLE). The MBiLE model was trained by using only the thermospheric mass density from Swarm C satellite at ∼450 km altitude. …”
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