Convolutional neural network prediction of the particle size distribution of soil from close-range images by Enrico Soranzo, Carlotta Guardiani, Wei Wu

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Performance of Sisal Fabre as Natural Geotextile to Reinforce Soil Layers on Unpaved Road. by Kyomugasho, Lilian

“…The findings relating to these laboratory tests include: The liquid limit was 38%, plastic limit was 21%, plasticity index 17%, MDD was increased from 1.829 to 1.849Mg/M3 and CBR values using 60,30 and 10 blows increased from 3.7% to 9.2%,6.9%, 5.2%after the application of sisal fibre after the second, third and fourth layers of the soil compared to the CBR values without sisal and particle size was obtained and the clay soil was classified as silty or clayey grave sand and soil sample fall under group classification of A-2-6. …”
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Machine Learning and Artificial Intelligence Systems Based on the Optical Spectral Analysis in Neuro-Oncology by Tatiana Savelieva, Igor Romanishkin, Anuar Ospanov, Sergey Goryaynov, Galina Pavlova, Igor Pronin, Victor Loschenov

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Mass Rapid Transit System Passenger Traffic Forecast Using a Re-Sample Recurrent Neural Network by Rong Hu, Yi-Chang Chiu, Chih-Wei Hsieh, Tang-Hsien Chang, Xingsi Xue, Fumin Zou, Lyuchao Liao

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Association between Metabolic Syndrome and Musculoskeletal Status: A Cross-Sectional Study of NHANES by Yue Shi, Shuhan Li, Xiaolong Xie, Yue Feng

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A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis by Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton

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Use of data mining algorithms in prediction of eggshell thickness from egg quality traits of Potchefstroom Koekoek layers by Kagisho Madikadike Molabe, Thobela Louis Tyasi, Vusi Gordon Mbazima

“…MARS with R2(0.86) revealed yolk ratio, shell weight, egg shape index, yolk ratio, shell ratio, albumen weight and albumen ratio as explanatory variables predicting eggshell thickness. CART with R2 (0.37), yolk/albumen ratio was noted to be influential predictor of eggshell thickness. …”
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Criminal law sanctions for misappropriation, embezzlement or seizure of property through abuse of office by I. I. Cherkashyn, Yu. V. Filei

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Label iteration-based clustering ensemble algorithm by HE Yulin, YANG Jin, HUANG Zhexue, YIN Jianfei

“…Thirdly, the sample points without labels were labeled with heuristic classifier which was iteratively enhanced with the labeled sample points having the consistent labeling for clustering and classification. Finally, a series of persuasive experiments were conducted to validate the feasibility and effectiveness of LICE algorithm. …”
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Application Layer Protocol Identification Method Based on ResNet by Zhijian Fang, Xiang Gao, Huaxiong Zhang, Jingpeng Tang, Qiang Gao

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The Role of Reconstructive Surgery for Treating Pressure Injuries – A Review of Literature by Martyna Łukasiewicz, Magdalena Grotowska, Maria Wydro, Aleksandra Strawińska

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RMGANets: reinforcement learning-enhanced multi-relational attention graph-aware network for anti-money laundering detection by Qianyu Wang, Wei-Tek Tsai, Bowen Du

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Clinical features of early multiple sclerosis by I. Čelpačenko, R. Stankevičiūtė, M. Malciūtė, R. Balnytė

“…A retrospective analysis of data was performed in patients hospitalized with the following ICD-10 (International Classification of Diseases Version 10) diagnoses: G37.8 (other specified demyelinating diseases of central nervous system) and G37.9 (demyelinating disease of central nervous system, unspecified). …”
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ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules’ malignancy by Xiaoxue Wang, Yupeng Niu, Hongli Liu, Fa Tian, Qiang Zhang, Yimeng Wang, Yeju Wang, Yijia Li

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MeStanG—Resource for High-Throughput Sequencing Standard Data Sets Generation for Bioinformatic Methods Evaluation and Validation by Daniel Ramos Lopez, Francisco J. Flores, Andres S. Espindola

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Assessing the situation of cities from the perspective of urban crisis management components (Case study: Shirvan city) by Mehdi Mohammadzadeh moghafam, mohammad motamedi, Ezzatollah Mafi

“…It is related to the identification of vulnerable zones due to hazards in Shirvan city and in this section 12 indicators were analyzed based on FAHP model, which showed that the rate of vulnerability in 5.37% of Shirvan city Very low, 22.38% low vulnerability, 14.12% moderate vulnerability, 27.75% high vulnerability and 30.39% very high vulnerability. …”
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Clinical efficacy of hyaluronic acid in post-extraction sockets of impacted mandibular third molar by Sairan Khurshed Nariman, Reiadh Kamal AL-Kamali

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Root Canal Anatomy of Myanmar Permanent Mandibular Incisors in Mandalay Region by Nyan M. Aung

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The Cost of an Operating Room Minute for Heart Valve Procedures by Eugene A. Grossi, Matthew Moore, Peter J. Mallow, John A. Rizzo

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Application of Additive Manufacturing and Deep Learning in Exercise State Discrimination by Zhilong Zhao, Jiaxi Yang, Jiahao Liu, Shijie Soong, Yiming Wang, Juan Zhang

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