Preserved Expression of Skin Neurotrophic Factors in Advanced Diabetic Neuropathy Does Not Lead to Neural Regeneration despite Pancreas and Kidney Transplantation by František Saudek, Monika Cahová, Terezie Havrdová, Klára Zacharovová, Helena Daňková, Luděk Voska, Věra Lánská, Nurcan Üçeyler, Claudia Sommer

“…In contrast to our expectation, the expression of most of 29 selected factors related to neural regeneration was comparable in subjects with severe peripheral nerve fiber depletion and healthy controls and the expression of six factors was significantly upregulated. …”
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Application of BP Neural Network Improved by Fireworks Algorithm on Suspender Damage Prediction of Long-Span Half-Through Arch Bridge by Jian Guo, Wu Guo

“…By analyzing the main difficulties and existing problems of suspender damage identification, this paper takes the change rate of modal curvature as the damage index, introduces fireworks algorithm into the neural network model, optimizes the optimization process of neural network weight and threshold, and proposes a prediction model based on improved BP neural network by fireworks algorithm. …”
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Deep Learning for Predicting Spheroid Viability: Novel Convolutional Neural Network Model for Automating Quality Control for Three-Dimensional Bioprinting by Zyva A. Sheikh, Oliver Clarke, Amatullah Mir, Narutoshi Hibino

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GPS TRAJECTORY CLUSTERING FOR SPATIO – TEMPORAL BEHAVIOR ANALYSIS: THE APPLICATION OF HEATMAP TECHNIQUES AND SPATIO- TEMPORAL DUAL GRAPH NEURAL NETWORK by Mais Muhanad, Wadhah R.Baiee

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Content System of Physical Fitness Training for Track and Field Athletes and Evaluation Criteria of Some Indicators Based on Artificial Neural Network by Wei Wang, Xiaowei Chen

“…The purpose of this paper is to study how to analyze and discuss the content system of physical fitness training for track and field athletes and some evaluation criteria of indicators based on artificial neural network. It also describes the BP neural network. …”
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Rede Neural Fuzzy Autoexpansível baseada na Teoria da Ressonância Adaptativa para detecção de sites de Phishing by Gustavo Henrique Santiago da Silva, Reginaldo José da Silva, Angela Leite Moreno

“…É neste cenário que esse trabalho se insere, apresentando os resultados da detecção de sites Phishing via Rede Neural Fuzzy Autoexpansível baseado na Teoria da Ressonância Adaptativa utilizando-se do conjunto de dados “Phishing Websites Dataset” disponível na UCI Machine Learning Repository. …”
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Optimizing petrophysical property prediction in fluvial-deltaic reservoirs: a multi-seismic attribute transformation and probabilistic neural network approach by Muhammad Khan, Andy Anderson Bery, Yasir Bashir, Sya’rawi Muhammad Husni Sharoni, Joseph Gnapragasan, Qazi Sohail Imran

Subjects: “…Probabilistic neural network…”
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Perbedaan Kadar C-Reactive Protein Serum Ibu pada Kehamilan Aterm Ketuban Pecah Dini dan Kehamilan Normal by Debby Yolanda, Ariadi , Nur Indrawati Lipoeto

“…Jurnal Kesehatan Andalas…”
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Quantitative Changes in Vascular and Neural Fibers Induced by Subretinal Fluid Excluding the Peripapillary Region in Patients with Chronic Central Serous Chorioretinopathy by Esra Kızıldağ Özbay, Şenol Sabancı, Mehmet Fatih Küçük, Muhammet Kazım Erol

“…<b>Conclusions:</b> Chronic SRF in CSCR patients, even when not involving the peripapillary region, leads to significant structural changes in both the neural and vascular components of the retina. These findings suggest that SRF contributes to broader retinal alterations and supports the need for early detection and management of CSCR to prevent long-term visual impairment.…”
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Sliding Mode Backstepping Control of Excavator Bucket Trajectory Synovial in Particle Swarm Optimization Algorithm and Neural Network Disturbance Observer by Xiangfei Tao, Kailei Liu, Jing Yang, Yu Chen, Jiayuan Chen, Haoran Zhu

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Effects of Different River Crab <i>Eriocheir sinensis</i> Polyculture Practices on Bacterial, Fungal and Protist Communities in Pond Water by Yun Bao, Bing Li, Rui Jia, Linjun Zhou, Yiran Hou, Jian Zhu

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Changes in the Parietal Lobe Subregion Volume at Various Stages of Alzheimer’s Disease and the Role in Cognitively Normal and Mild Cognitive Impairment Conversion by Fang Lu, Qing Ma, Cailing Shi, Wenjun Yue

“…Background: Volume alterations in the parietal subregion have received less attention in Alzheimer’s disease (AD), and their role in predicting conversion of mild cognitive impairment (MCI) to AD and cognitively normal (CN) to MCI remains unclear. In this study, we aimed to assess the volumetric variation of the parietal subregion at different cognitive stages in AD and to determine the role of parietal subregions in CN and MCI conversion. …”
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MRCNN: Multi-input residual convolution neural network for three-dimensional reconstruction of bubble flows from light field images by Heng Zhang, Jiayi Li, Niujia Sun, Hua Li, Qin Hang

“…Subsequently, fully automated and highly accurate computations of bubble depth are realized from input images via the incorporation of a multi-input residual convolution neural network (MRCNN). The limitations of traditional two-dimensional imaging techniques are effectively addressed by this methodology, resulting in a reduction in measurement errors. …”
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Effect of bending load on electrical conductivity of carbon/epoxy composites filled with nanoparticles using design of experiment and artificial neural networks by Ali Sadollah, Seyed Morteza Razavi, Abobakr Khalil Al-Shamiri

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Effect of Dietary Combination of Methionine and Fish Oil on Cellular Immunity and Plasma Fatty Acids in Infectious Bursal Disease Challenged Chickens by Elham Maroufyan, Azhar Kasim, Goh Yong Meng, Mahdi Ebrahimi, Loh Teck Chwen, Parvaneh Mehrbod, Behnam Kamalidehghan, Abdoreza Soleimani Farjam

“…This study was carried out to investigate the modulatory effects of dietary methionine and fish oil on immune response, plasma fatty acid profile, and blood parameters of infectious bursal disease (IBD) challenged broiler chickens. …”
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An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks by Shun Zeng, Hongyu Chen, Rui Jing, Wenzhuo Yang, Ligong He, Tianle Zou, Peng Liu, Bo Liang, Dan Shi, Wenhao Wu, Qiusheng Lin, Zhenyu Ma, Jinhui Zha, Yonghao Zhong, Xianbin Zhang, Guangrui Shao, Peng Gong

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Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks by Peter Appiahene, Yaw Marfo Missah, Ussiph Najim

“…The DT was followed closely by random forest algorithm with a predictive accuracy of 98.5% and a P value of 0.00 and finally the neural network (86.6% accuracy) with a P value 0.66. …”
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Artificial Neural Model based on radial basis function networks used for prediction of compressive strength of fiber-reinforced concrete mixes by Luis Octavio González Salcedo, Aydee Patricia Guerrero Zúñiga, Silvio Delvasto Arjona, Adrián Luis Ernesto Will

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Unraveling Cochlear Dynamics: The Effect of Clicks, Tone Burst Frequencies, Polarity, and Stimulus Rates on Cochlear Microphonics in Individuals with Normal Hearing by Prajwal Kumar Eranna, Gowtham Varma, Animesh Barman

“…Methods: The study involved 32 normal-hearing adults. CM was recorded from these individuals using extratympanic CM measurement from the ear canal independently for tone burst frequencies (500 Hz, 1 kHz, 4 kHz & 8 kHz) and click stimuli having rarefaction and condensation polarity at 30.1/sec and 59.1/sec repetition rates. …”
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Scrutinizing the evidence of anthracene toxicity on adrenergic receptor beta-2 and its bioremediation by fungal manganese peroxidase via in silico approaches by Muhammad Naveed, Khadija Khatoon, Tariq Aziz, Rida Naveed, Muhammad Nouman Majeed, Maida Salah Ud Din, Tayyab Javed, Ayaz Ali Khan, Abdullah F. Alasmari

“…This study aims to alleviate the adverse environmental effects of anthracene through fungal degradation, focusing on bioremediation approaches using bioinformatics. …”
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