Investigating the Effect of Bamboo Fibers on The Engineering Properties of Laterite Soils in Road Construction. by Kiiza, Obed

“…An experimental study was carried out on the natural and the modified lateritic soil classified as A-2-6(0) and clayey gravel (GC) according to AASHTO and Unified Soil Classification System (USCS) respectively. …”
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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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Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches by Mehmet Yilmaz, Erkut Yalcin, Fatih Demir, Ahmet Munir Ozdemir, Muhammed Atar, Aysegul Gunes, Beyza Furtana Yalcin, Ertugrul Cambay

“…The innovative aspect of this research lies in the creation of a unique post-earthquake dataset, collected and labeled from highways affected by the February 6, 2023 earthquakes in Turkey (Mw = 7.7 and Mw = 7.6). …”
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Good-Quality mHealth Apps for Endometriosis Care: Systematic Search by Diksha Sirohi, Cecilia HM Ng, Niranjan Bidargaddi, Helen Slater, Melissa Parker, M Louise Hull, Rebecca O'Hara

“…Few eHealth websites scored well on therapeutic persuasiveness (6/19, 31.6%), therapeutic alliance (9/19, 47.4%), and general subjective evaluation (6/19, 31.6%). …”
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Can muscle synergies shed light on the mechanisms underlying motor gains in response to robot-assisted gait training in children with cerebral palsy? by Gloria P. Vergara-Diaz, Stefano Sapienza, Jean-François Daneault, Eric Fabara, Catherine Adans-Dester, Giacomo Severini, Vincent C. K. Cheung, Carmen Echevarría Ruiz de Vargas, Donna Nimec, Paolo Bonato

“…Methods Thirteen children with CP and Gross Motor Function Classification Scale (GMFCS) levels I–IV were recruited in the study. …”
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Cetacean feeding modelling using machine learning: A case study of the Central-Eastern Mediterranean Sea by Carla Cherubini, Giulia Cipriano, Leonardo Saccotelli, Giovanni Dimauro, Giovanni Coppini, Roberto Carlucci, Carmelo Fanizza, Rosalia Maglietta

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Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…Hasil menunjukkan akurasi tertinggi sebesar 90.6% dengan learning rate 0.001 pada pembagian 85% data latih dan 15% data uji, melebihi model yang lebih kompleks. …”
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A CNN-RF Hybrid Approach for Rice Paddy Fields Mapping in Indramayu Using Sentinel-1 and Sentinel-2 Data by Dodi Sudiana, Mia Rizkinia, Rahmat Arief, Tiara De Arifani, Anugrah Indah Lestari, Dony Kushardono, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo

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Efficacy of combined colorectal cancer treatment in senile patients by P. V. Tsarkov, D. R. Markaryan, V. M. Nekoval

“…The average Charlson score taking into account age of the patient was 7.6±2.4. Forty seven patients (39%) were classified as ASA≥3. …”
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Pembentukan Daftar Stopword Goffman Transition Point dengan Pembobotan Emoji pada Analisis Sentimen di Twitter by Rizky Maulana Iqbal, Yuita Arum Sari, Edy Santoso

“…Hasil penelitian ini menunjukkan dengan pembentukan stopword menggunakan metode Zipf Law menunjukkan nilai akurasi sebesar 73,6% dan menggunakan pembobotan emoji dengan nilai K yang dipakai metode KNN K = 17 tetapi jika tidak menggunakan pembobotan emoji akurasinya menjadi 72.9%. …”
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Frozen Weights as Prior for Parameter-Efficient Fine-Tuning by Xiaolong Ma, Peishun Liu, Haojie Gao, Zikang Yan, Ningning Ma, Wenqiang Liu, Xuefang Wang, Ruichun Tang

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Advancements related to probiotics for preventing and treating recurrent respiratory tract infections in children by Yali Zhang, Yali Zhang, Yingying Xu, Yingying Xu, Ling Hu, Ling Hu, Xiaomei Wang

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Artificial intelligence in dentistry—A review by Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi

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Factors Influencing Background Parenchymal Enhancement in Breast Contrast-Enhanced Mammography: A Retrospective Study by Xue J, Qu T, Li Z, Shi B, Yang G, Rong X, Li Y, Lin G, Ping Y

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Advancing risk stratification in kidney transplantation: integrating HLA-derived T-cell epitope and B-cell epitope matching algorithms for enhanced predictive accuracy of HLA compa... by Matthias Niemann, Matthias Niemann, Benedict M. Matern, Benedict M. Matern, Gaurav Gupta, Bekir Tanriover, Fabian Halleck, Klemens Budde, Eric Spierings, Eric Spierings

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Nontuberculous mycobacterium occurrence in biological material and environmental samples covered by epidemiological surveillance in the Republic of Dagestan by M. O. Baratov

“…Among nontuberculous mycobacterium cultures, 16 (50.0%) were classified as belonging to group II, 2 (6.2%) – as belonging to group III and 14 (43.8%) – as belonging to group IV according to the Runyon classification. …”
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Fundus camera-based precision monitoring of blood vitamin A level for Wagyu cattle using deep learning by Nanding Li, Naoshi Kondo, Yuichi Ogawa, Keiichiro Shiraga, Mizuki Shibasaki, Daniele Pinna, Moriyuki Fukushima, Shinichi Nagaoka, Tateshi Fujiura, Xuehong De, Tetsuhito Suzuki

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Imaging study of adult coccygeal morphology using direct digital radiography technology in China by Yingsen Pan, Feipeng Qin, Yi Shen, Ndalyolusha Tileinge Hapulile, Haoyang Zhang, Xin Ye, Shuailin Li, Xiaoming Li, Chao Yang, Xiang Zhou, Xiaoming Ying

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Multimodal treatment with Neoadjuvant chemotherapy for eyelid and periocular sebaceous gland carcinoma: Long-term outcomes by Vijitha S. Vempuluru, Anshika Luthra, Vijay Anand Reddy Palkonda, Swathi Kaliki

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Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data by Wanting Yang, Daniel Ortiz-Gonzalo, Xiaoye Tong, Dimitri Gominski, Rasmus Fensholt

“…Yet, our results underscore the limitations of remote sensing in heterogeneous forest-agriculture landscapes and emphasize the need for further research to address persistent challenges and improve classification accuracy for monitoring global environmental change.…”
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