Expression of MMP1, MMP3, and TIMP1 in intervertebral discs under simulated overload and microgravity conditions by Xuanyu Chen, Zhangfu Li, Chao Zheng, Ji Wu, Yong Hai

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Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications by Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi

“…The model has a remarkable AUC of 0.991. CLCAN can handle datasets of over 118,000 balanced data records in 85 s, compared to 180 s for comparable frameworks. …”
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The context signals of mitochondrial miRNAs (mitomiRs) of mammals by O. V. Vishnevsky, P. S. Vorozheykin, I. I. Titov

“…The identification of nucleotide signals, which are unique to mitomiRs, may help to determine this role. We formed a dataset that combined the experimentally discovered mitomiRs in human, rat and mouse. …”
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Exploring the VAK model to predict student learning styles based on learning activity by Ahmed Rashad Sayed, Mohamed Helmy Khafagy, Mostafa Ali, Marwa Hussien Mohamed

“…We used the Open University Learning Analytics Dataset (OULAD)to assess the efficiency of the proposed system. …”
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Categorizing and Determining of BI-RAD Breast Cancer Score by Using Deep Learning Techniques by Azhar Kassem Flayeh, Ali Douik

“…The study investigated DL algorithms (Attention mechanism and efficintNetB7 ) to determine the breast imaging-reporting and data system (BI-RADS) score by categorizing mammography images. The dataset Digital Database for Screening Mammography (DDSM) used in this study, acquired from Kaggle, contains 55,890 training samples, of which 86% are negative, and 14% are positive, categorized into classes C1, C2, C3, C4, and C5. …”
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From deliberation to acclamation: how did Twitter’s algorithms foster polarized communities and undermine democracy in the 2020 US presidential election by Gustavo Morales, Gustavo Morales, Augusto Salazar, Diego Puche

“…This study employed Twitter’s Stream API to assemble a dataset encompassing tweets that featured keywords. …”
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PURE: a Prompt-based framework with dynamic Update mechanism for educational Relation Extraction by Xiaohui Cui, Yu Yang, Dongmei Li, Jinman Cui, Xiaolong Qu, Chao Song, Haoran Liu, Siyuan Ke

“…We conduct experiments on a Data Structure course relation extraction dataset and three public datasets. The experimental results demonstrate that PURE achieves significant improvements and outperforms several state-of-the-art baselines in efficiency of extraction and utilization of educational information. …”
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Identification of TTLL8, POTEE, and PKMYT1 as immunogenic cancer-associated antigens and potential immunotherapy targets in ovarian cancer by Esen Yonca Bassoy, Remya Raja, Thomas E. Rubino, Fabian Coscia, Krista Goergen, Paul Magtibay, Kristina Butler, Alessandra Schmitt, Ann L. Oberg, Marion Curtis

“…To identify potential new actionable tumor antigens in OC, we performed immunopeptidomics on a human OC cell line expressing the HLA-A02:01 haplotype, which is commonly expressed across many racial and ethnic groups. From this dataset, we identified TTLL8, POTEE, and PKMYT1 peptides as candidate tumor antigens with low expression in normal tissues and upregulated expression in OC. …”
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Prediction of influenza A virus-human protein-protein interactions using XGBoost with continuous and discontinuous amino acids information by Binghua Li, Xin Li, Xiaoyu Li, Li Wang, Jun Lu, Jia Wang

“…The source codes and datasets are available at https://github.com/HVPPIlab/IVA-Human-PPI/.…”
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An efficient Cucconi based feature extraction with random decision forest classification for improved sentiment analysis by Anuradha K., Mallik Banitamani, Krishna Vamsi M.

“…The performance evaluation of the proposed approach is carried out using performance metrics such as accuracy, error rates, recall values, and time and space complexities concerning the number of review statements gathered from the dataset. The results show that the proposed CFDFC model achieves remarkable accuracy, recall, and minimal time complexity compared to existing methods.…”
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A convolutional autoencoder framework for ECG signal analysis by Ugo Lomoio, Patrizia Vizza, Raffaele Giancotti, Salvatore Petrolo, Sergio Flesca, Fabiola Boccuto, Pietro Hiram Guzzi, Pierangelo Veltri, Giuseppe Tradigo

“…The trained framework has been tested on 12 lead ECG signals on a benchmark dataset and applied in scenarios where anomalies are related to cardiological risks and pathologies. …”
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Exploring the most important factors related to self-perceived health among older men in Sweden: a cross-sectional study using machine learning by David C Currow, Magnus Per Ekström, Max Olsson

“…Objective To evaluate which factors are the most strongly related to self-perceived health among older men and describe the shape of the association between the related factors and self-perceived health using machine learning.Design and setting This is a cross-sectional study within the population-based VAScular and Chronic Obstructive Lung disease study (VASCOL) conducted in southern Sweden in 2019.Participants A total of 475 older men aged 73 years from the VASCOL dataset.Measures Self-perceived health was measured using the first item of the Short Form 12. …”
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Serum levels of the Parkinson's disease-linked protein Parkin are specifically elevated in COVID-19 by Nadezhda G. Gumanova, Natalya L. Bogdanova, Alexander Yu. Gorshkov

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Intelligent classification of computer vulnerabilities and network security management system: Combining memristor neural network and improved TCNN model. by Zhenhui Liu

“…The system exhibits higher accuracy and stability in handling complex vulnerability datasets, making it highly valuable for practical applications and research.…”
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Spatio-Temporal Characteristics of Climate Extremes in Sub-Saharan Africa and Potential Impact of Oceanic Teleconnections by Lormido Ernesto Zita, Flávio Justino, Carlos Gurjão, James Adamu, Manuel Talacuece

“…The CHIRPS dataset showed strong positive correlations with CPC in spatial patterns and similarity in simulating interannual variability and in almost all seasons. …”
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Associations of dietary inflammation index and composite dietary antioxidant index with all-cause mortality in COPD patients by Sue Zhao, Yingjie Su, Hongzhong Yang

“…Our research aimed to explore the associations between the two indicators with all-cause mortality in COPD patients.MethodsWe conducted a prospective cohort analysis based on data from the six cycles of the National Health and Nutrition Examination Survey (NHANES) dataset from 2007 to 2018. Multivariate Cox proportional hazard models were used to analyze the effects of DII and CDAI on all-cause mortality in COPD. …”
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HPPQ: A Parallel Package Queries Processing Approach for Large-Scale Data by Meihui Shi, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu

“…Data preprocessing segments the dataset into multiple subsets and the centroid of the subsets is used for package queries, this effectively reduces the volume of candidate results. …”
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Rolling Bearing Fault Diagnosis Based on a Synchrosqueezing Wavelet Transform and a Transfer Residual Convolutional Neural Network by Zihao Zhai, Liyan Luo, Yuhan Chen, Xiaoguo Zhang

“…A series of validation experiments confirmed that applying the TRCNN structure made it possible to achieve high diagnostic accuracy, even when training the network with only a small number of fault samples, as all 12 fault types from the test dataset were diagnosed correctly. Further simulation experiments demonstrated that our proposed method improved fault diagnosis accuracy compared to that of conventional techniques (with increases of 1.74% over RCNN, 1.28% over TCNN, 1.62% over STFT, 1.73% over WT, 2.83% over PWVD, and 1.39% over STFA-PD). …”
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13 µm cutoff InAs/GaSb type-II superlattice nBn detectors with high quantum efficiency grown by MOCVD by Richard Brown, Chen Liu, George Seager, Francisco Alvarado, Ka Ming Wong, Adam P. Craig, Richard Beanland, Andrew R. J. Marshall, J. Iwan Davies, Qiang Li

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Long-term forecasting of shield tunnel position and attitude deviation using the 1DCNN-informer method by Jiajie Zhen, Ming Huang, Shuang Li, Kai Xu, Qianghu Zhao

“…The model was trained and validated using datasets from the Nanjing Metro shield tunnel project in China. …”
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