Mitofilin–mtDNA Axis Mediates Chronic Lead Exposure-Induced Synaptic Plasticity Impairment of Hippocampal and Cognitive Deficits by Lihong Su, Jinchao Hou, Boxuan Wang, Yuqi Li, Xiaodong Huo, Tao Wang, Yuankang Zou, Gang Zheng

“…The results showed that the spatial learning and memory abilities of lead-exposed mice were significantly reduced. …”
Get full text

Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes by Neha Irfan, Sherin Zafar, Kashish Ara Shakil, Mudasir Ahmad Wani, S. N. Kumar, A. Jaiganesh, K. M. Abubeker

“…Additionally, a custom loss function integrating Cross-Entropy Loss and an F1 Score Penalty was introduced to address class imbalance and enhance model performance. …”
Get full text

Neuromitos en el profesorado en formación de educación física: un estudio comparativo entre carre-ras de pedagogías (Neuromyths among physical education teacher trainees: a compar... by Patricia González Flores, Elizabeth Flores Ferro, Fernando Maureira Cid, Marcelo Hadweh Briceño, Sebastián Loyola Arroyo, Maritza Silva Acuña

“…Conclusions: It is essential to apply neuroscience advancements to all classrooms to improve the teaching and learning process. Keywords: pedagogy, teacher trainees, neuroscience, learning. …”
Get full text

SSDFusion: A Semantic Segmentation Driven Framework for Infrared and Visible Image Fusion by Qishen Lv, Rui Yang, Chengmin Zhang, Shuaihui Liu, Xinyan Fan, Zihao Luo

“…Finally, an adaptive loss function is implemented throughout SSDFusion to fine-tune the balance between the semantic segmentation task and the image fusion task by adjusting their proportional contributions. …”
Get full text

Right Ventricular Stiffening and Anisotropy Alterations in Pulmonary Hypertension: Mechanisms and Relations to Right Heart Failure by Sunder Neelakantan, Alexander Vang, Rana Raza Mehdi, Haley Phelan, Preston Nicely, Tasnim Imran, Peng Zhang, Gaurav Choudhary, Reza Avazmohammadi

“…Organ‐level function, tissue‐level stiffness, and microstructure were quantified through in vivo and ex vivo measures, respectively. …”
Get full text

Continuous Estimation of Swallowing Motion With EMG and MMG Signals by Zhenhui Guo, Ziyang Wang, Yue Wang, Weiguang Huo, Jianda Han

“…Assessment of swallow function is crucial for managing OD, yet depends on devices for long-term monitoring during daily life and relevant methods for accurately assessing swallow function. …”
Get full text

A Cost-Sensitive Small Vessel Detection Method for Maritime Remote Sensing Imagery by Zhuhua Hu, Wei Wu, Ziqi Yang, Yaochi Zhao, Lewei Xu, Lingkai Kong, Yunpei Chen, Lihang Chen, Gaosheng Liu

“…This enhances the importance of small target information during training and strengthens the model’s cost-sensitive learning capabilities. Ablation studies reveal that detection performance is optimal when the weight assigned to the NWD metric in the model’s loss function matches the overall proportion of small objects in the dataset. …”
Get full text

Head Horn Enhances Hydrodynamic Perception in Eyeless Cavefish by Zhiqiang Ma, Zheng Gong, Yonggang Jiang, Peng Wu, Changxin You, Zihao Dong, Hongchao Cao, Zhen Yang, Yahui Zhao, Huawei Chen, Deyuan Zhang

“…Furthermore, the eyeless cavefish model has ≈17% higher obstacle recognition accuracy and lower cost (time and sensor number) than eyed cavefish model is conceptually demonstrated, by incorporating with machine learning. This study provides novel insights into form‐function relationships in eyeless cavefish, in addition paves the way for optimizing sensor arrangement in fish robots and underwater vehicles.…”
Get full text

Single-cell mitochondrial morphomics reveals cellular heterogeneity and predicts complex I, III, and ATP synthase Inhibition responses by Ratneswary Sutharsan, Maddi Biaut Hontaas, Yan Li, Hao Xiong, Hartwig Preckel, Carolyn M. Sue, Gautam Wali

“…We applied known mitochondrial function inhibitors - rotenone, antimycin, and oligomycin to inhibit complexes I, III, and V (ATP synthase) function in human induced pluripotent stem cell-derived cortical neurons, a model commonly used in neurodegenerative disease research. …”
Get full text

For Precision Animal Husbandry: Precise Detection of Specific Body Parts of Sika Deer Based on Improved YOLO11 by Jinfan Wei, Haotian Gong, Lan Luo, Lingyun Ni, Zhipeng Li, Juanjuan Fan, Tianli Hu, Ye Mu, Yu Sun, He Gong

“…Improvements include: designing a lightweight and efficient hybrid backbone network, MobileNetV4HybridSmall; The multi-scale fast pyramid pooling module (SPPFMscale) is proposed. The WIoU v3 loss function is used to replace the default loss function. …”
Get full text

Real-time detection and identification of fish skin health in the underwater environment based on improved YOLOv10 model by Duanrui Wang, Meng Wu, Xingyue Zhu, Qiwei Qin, Shaowen Wang, Haibin Ye, Kaiyuan Guo, Chi Wu, Yi Shi

“…DCW-YOLO substitutes the CIoU loss function in YOLOv10 with the NWD loss function, thereby improving the model’s ability to detect densely packed targets. …”
Get full text

Chronic intermittent hypoxia‐mediated cognitive dysfunction in ovariectomized rats by Emily C. Cheung, Joan B. Escobar, Bridget R. Alber, Caitlin Ribeiro, Ishan Abdullah, Grant Kowalik, Jeannette Rodriguez, Grey Harral, Makeda Melkie, Aman Gill, John T. Ketzenberger, John Bethea, Vsevolod Y Polotsky, Vivek Jain, Kathryn Schunke, Matthew W. Kay, David Mendelowitz

“…At 8 weeks of age, 16 Sprague–Dawley rats underwent ovariectomy and were exposed to CIH for 26 weeks. Cognitive function was assessed using the Morris water maze, revealing significant deficits in spatial learning (P < 0.0001) and memory (P = 0.008) in CIH‐exposed rats, compared to controls. …”
Get full text

A genetic programming approach with adaptive region detection to skin cancer image classification by Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang

“…To achieve this, a new function set and a new terminal set have been developed. …”
Get full text

Hypertension may lead to cognitive dysfunction in older adults via methylmalonic acid: evidence from NHANES 2011–2014 population by Ying Xu, Rucheng Chen, Paulus Torkki, Weijun Zheng, An Chen

“…Methods A total of 2762 adults (age > = 60 years) from the National Health and Nutrition Examination Survey (NHANES) 2011–2014 participated. Cognitive function was assessed using a combination of the Animal Fluency Test (AFT), the Digit Symbol Substitution Test (DSST), and the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) Word List Learning Test. …”
Get full text

Algae-Mamba: A Spatially Variable Mamba for Algae Extraction From Remote Sensing Images by Yaoteng Zhang, Shuaipeng Wang, Yanlong Chen, Shiqing Wei, Mingming Xu, Shanwei Liu

“…Traditional threshold-based methods and standard machine learning techniques often fall short in accurately and automatically distinguishing algae types. …”
Get full text

Real-time and universal network for volumetric imaging from microscale to macroscale at high resolution by Bingzhi Lin, Feng Xing, Liwei Su, Kekuan Wang, Yulan Liu, Diming Zhang, Xusan Yang, Huijun Tan, Zhijing Zhu, Depeng Wang

“…The development of deep learning-based reconstruction methods has greatly facilitated high-resolution light-field image processing, however, current deep learning-based light-field reconstruction methods have predominantly concentrated on the microscale. …”
Get full text

Neuroprotective Effects of Qi Jing Wan and Its Active Ingredient Diosgenin Against Cognitive Impairment in Plateau Hypoxia by Tiantian Xia, Ziqiao Yan, Pan Shen, Mingyang Chang, Nan Zhang, Yunan Zhang, Qi Chen, Rui Wang, Li Tong, Wei Zhou, Zhexin Ni, Yue Gao

“…<b>Background/Objectives</b>: High-altitude environments have a significant detrimental impact on the cognitive functions of the brain. Qi Jing Wan (QJW), a traditional herbal formula composed of <i>Angelica sinensis</i>, <i>Astragalus membranaceus</i>, and <i>Rhizoma Polygonati Odorati</i>, has demonstrated potential efficacy in treating cognitive disorders. …”
Get full text

Entity class-restricted twin attention-based aggregation for geographic knowledge graph inference by Jinlan Kong, Xiaohui He, Haichuan Fang, Roujia Ji, Peng Yang, Shuang Li, Haofei Li, Haonan Sun, Mengjia Qiao, Panle Li, Xijie Cheng, Qinglei Zhou, Jiandong Shang

“…Moreover, they often ignore the representation learning of relations, resulting in inadequate modeling of GeoKGs. …”
Get full text

Differential relationships among homocysteine levels, cognitive deficits, and low-frequency fluctuation in brain activity in bipolar disorder with suicidal ideation by Yuanyuan Huang, Sumiao Zhou, Shixuan Feng, Hehua Li, Ziyun Zhang, Chenyu Liu, Junhao Li, Wei Han, Kai Wu, Xingbing Huang, Fengchun Wu

“…We then calculated the amplitude of low-frequency fluctuation (ALFF) from resting-state functional magnetic resonance imaging data. Mediated-effects analysis was conducted to explore the association among these three variables. …”
Get full text

S100A11 as an immune-related exosomal driver of colorectal cancer progression: a novel diagnostic biomarker by Haibo Wang, Rongchao He, Deng Liu, Jun He, Zhong Shen

“…This study aims to identify exosome-related biomarkers in CRC and elucidate the functional significance of S100A11 in tumor progression and immune regulation.MethodsWe integrated multi-cohort transcriptomic data from TCGA and GEO databases and applied a machine learning triad (LASSO-SVM-Random Forest) to identify robust exosomal biomarkers for CRC. …”
Get full text