Bilateral enhancement network with signal-to-noise ratio fusion for lightweight generalizable low-light image enhancement by Junfeng Wang, Shenghui Huang, Zhanqiang Huo, Shan Zhao, Yingxu Qiao

“…LNM divides the channels of input features into luminance-related channels and luminance independent channels, and reduces the inconsistency of the degradation distribution of input low-light images by only normalizing the luminance-related channels. DEP learns overexposure and underexposure corrections simultaneously by employing the ReLU activation function, inverting operation, and residual network, which can improve the robustness of enhancement effects under different exposure conditions while reducing network parameters. …”
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FGB-OPRAm: integrating fuzzy granular-ball and OPRAm for spatial query answering in uncertain environments by Bongjae Kwon, Kiyun Yu

“…The fuzzy granular-ball, defined using a Gaussian membership function with radius [Formula: see text] representing the level of uncertainty, allow for a flexible representation of spatial regions. …”
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MedAlmighty: enhancing disease diagnosis with large vision model distillation by Yajing Ren, Zheng Gu, Wen Liu

“…Future work may explore extending this distillation strategy to other medical modalities and incorporating multimodal alignment for even richer representation learning.…”
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Regularized sequence-context mutational trees capture variation in mutation rates across the human genome. by Christopher J Adams, Mitchell Conery, Benjamin J Auerbach, Shane T Jensen, Iain Mathieson, Benjamin F Voight

“…We find a shared context-dependent mutation rate architecture underlying our models, enabling a transfer-learning inspired strategy for modeling germline mutations. …”
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The Association Between Motor Competence and Inhibitory Control in Preschool Children by Aoyu Zhang, Xiaoxiao Chen, Deqiang Zhao, Yanfeng Zhang

“…<b>Background:</b> Inhibitory control is a higher-order cognitive function that affects children’s lives and learning, and the development of inhibitory control plays a vital role in the overall development of preschool children. …”
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Effect of a Plant-Based Nootropic Supplement on Perceptual Decision-Making and Brain Network Interdependencies: A Randomised, Double-Blinded, and Placebo-Controlled Study by David O’Reilly, Joshua Bolam, Ioannis Delis, Andrea Utley

“…Background: Natural nootropic compounds are evidenced to restore brain function in clinical and older populations and are purported to enhance cognitive abilities in healthy cohorts. …”
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An efficient method for predicting temperature field of PC beams with CSWs using thermocouple numerical analysis and random forest algorithm by Haiping Zhang, Hao Long, Fanghuai Chen, Yuan Luo, Xinhui Xiao, Yang Deng, Naiwei Lu, Yang Liu

“…Finally, the SHapley Additive exPlanations (SHAP)function was used to interpret the trained random forest model, and the effects of girder height, bridge orientation, solar radiation, air temperature, and ground reflectivity on the vertical temperature gradient were investigated.…”
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Pathophysiology of Alzheimer’s Disease: Focus on H3 Receptor Modulators and Their Implications by Nagaraju Bandaru, Sarad Pawar Naik Bukke, Veera Mani Deepika Pedapati, Gurugubelli Sowjanaya, Vangmai Swaroopa Suggu, Swathi Nalla, Prashik Bhimrao Dudhe, Joseph Obiezu Chukwujekwu Ezeonwumelu, Abdullateef Isiaka Alagbonsi, Hope Onohuean

“…Preclinical studies have shown that antagonists of H3R or inverse agonists enhance the cognitive function in animal models with dementia by increasing the release of neurotransmitters associated with learning and memory. …”
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Predicting postpartum female sexual interest/arousal disorder via adiponectin and biopsychosocial factors: a cohort-based decision tree study by Saiedeh Sadat Hajimirzaie, Najmeh Tehranian, Amin Golabpour, Ahmad Khosravi, Seyed Abbas Mousavi, Afsaneh Keramat, Mehdi Mirzaii

“…At the same time, participants completed assessments using the Female Sexual Function Index (FSFI), the World Health Organization Well-Being Index, a socioeconomic index, and a questionnaire on non-biological factors affecting sexual desire. …”
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HFF-Net: A hybrid convolutional neural network for diabetic retinopathy screening and grading by Muhammad Hassaan Ashraf, Hamed Alghamdi

“…HFF-Net extracts multiscale features that fused at multiple levels within the network, utilizing the swish activation function for improved learning stability. We evaluated HFF-Net against several state-of-the-art CNN classifiers within the DRSG framework. …”
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Mobility Intensive Training (Mob-IT) Protocol for Children with Cerebral Palsy: Feasibility and Fidelity Results by Luana Pereira Oliveira Gonçalves, Isabella Pessóta Sudati, Ana Paula Zanardi da Silva, Natalia Duarte Pereira, Nelci Adriana Cicuto Ferreira Rocha, Ana Carolina de Campos

“…The Mobility Intensive Training (Mob-IT) protocol is an innovative intervention focused on motor learning to improve the mobility of children with cerebral palsy (CP). …”
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Ship Contour: A Novel Ship Instance Segmentation Method Using Deep Snake and Attention Mechanism by Chen Chen, Songtao Hu, Feng Ma, Jie Sun, Tao Lu, Bing Wu

“…Furthermore, a Mish activation function replaces ReLU to better adapt deep network learning. …”
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An improved polar lights optimization algorithm for global optimization and engineering applications by Tianping Huang, Faguo Huang, Zhaohui Qin, Jiafang Pan

“…To strike a successful balance between global exploration and local search, a reinforcement learning approach is suggested that combines adaptive dynamics with a reward loss function centered on exploration. …”
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The Transformative Influence of Artificial Intelligence on Supply Chain Management by Tarihal Balakrishna, Kaliwal Rohit, Ammanagi Ashok

“…The organisations that are able to tackle these concerns will be in a good place to harness the full value of AI in the supply chain management function.…”
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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. …”
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Prediction of Biogas Yield from Codigestion of Lignocellulosic Biomass Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model by Moses Oluwatobi Fajobi, Olumuyiwa Ajani Lasode, Adekunle Akanni Adeleke, Peter Pelumi Ikubanni, Ayokunle Olubusayo Balogun, Prabhu Paramasivam

“…The Gaussian membership function (Gauss-mf) was implemented for the fuzzification of input variables, while the hybrid algorithm was selected for the learning and mapping of the input-output dataset. …”
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NEK7 induces lactylation in Alzheimer’s disease to promote pyroptosis in BV-2 cells by Jing Cheng, Hui Zhao

“…Adeno-associated virus (AAV) vectors carrying short hairpin RNA (shRNA) against NEK7 (AAV-sh-NEK7) were administered to mice to knockdown NEK7 in vivo. Spatial learning and memory abilities were evaluated using the Morris water maze test. …”
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Estimating Daily Rice Crop Evapotranspiration in Limited Climatic Data and Utilizing the Soft Computing Algorithms MLP, RBF, GRNN, and GMDH by Pouya Aghelpour, Hadigheh Bahrami-Pichaghchi, Farzaneh Karimpour

“…The MLs, including Multilayer Perceptron (MLP), Radial Basis Function (RBF), Generalized Regression Neural Network (GRNN), and Group Method of Data Handling (GMDH), were utilized for ETc modeling. …”
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Integrated single-cell and bulk transcriptome analysis reveal lactate metabolism-related signature and T cell alteration in atrial fibrillation by Xianglin Long, Junxi Li, Yeshen Zhang, Zhihui Zhang

“…A diagnostic model based on machine learning was developed, and gene expression was further validated using qRT-PCR in a mouse model of AF. …”
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Harmonizer: A Universal Signal Tokenization Framework for Multimodal Large Language Models by Amin Amiri, Alireza Ghaffarnia, Nafiseh Ghaffar Nia, Dalei Wu, Yu Liang

“…We enhance features through STFT-based spectral decomposition, Hilbert transform analytic signal extraction, and SCLAHE spectrogram contrast optimization, and train using a composite loss function to produce reliable embeddings and construct a robust vector vocabulary. …”
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