Pengenalan Entitas Bernama Menggunakan Bi-LSTM pada Chatbot Bahasa Indonesia by Anshar Zulhilmi, Rizal Perdana, Indriati

“…The model used is bidirectional long-short term memory. The best F1 score obtained from the test is 87.44% with hyperparameters of the number of layers of 2, hidden size of 100, and learning rate of 0.01. …”
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Penerapan Metode K-Means Berbasis Jarak untuk Deteksi Kendaraan Bergerak by Yuslena Sari, Andreyan Rizky Baskara, Puguh Budi Prakoso

“…The results exhibit that the Manhattan distance delivers the best MSE = 1.328 , PSNR = 21.14, SSIM = 0.83 and PCQI = 0.79 values compared to other distances. …”
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The predicted value for venous thromboembolism based on a modified model of caprini combined with fasting blood glucose and D-dimer: a retrospective study by Ping Wang, Yusi Yang, Lin Zheng, Xiaotong Qi, Sheng Yan, Honglin Dong

“…D-dimer and FBG have a significant increase in the predictive effect for predicting DVT in terms of NRI (59.98% improvement, P < 0.001) and IDI (9.55% improvement, P < 0.001), showing the best net benefit for predicting DVT when the threshold probability was between 27 and 91%. …”
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A lightweight wheat ear counting model in UAV images based on improved YOLOv8 by Ruofan Li, Xiaohua Sun, Kun Yang, Zhenxue He, Zhenxue He, Xinxin Wang, Xinxin Wang, Chao Wang, Chao Wang, Bin Wang, Fushun Wang, Fushun Wang, Hongquan Liu, Hongquan Liu

“…Compared to YOLOv5, YOLOv7, YOLOv9, YOLOv10, YOLOv11, Faster RCNN, SSD, and RetinaNet, the improved model demonstrates superior accuracy and fewer parameters, exhibiting the best overall performance. The methodology proposed in this study enhances model accuracy while concurrently reducing resource consumption and effectively addressing the issues of missed and false detections of wheat ears, thereby providing technical support and theoretical guidance for intelligent counting of wheat ears in UAV imagery.…”
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The Prediction Model of High-Frequency Ultrasound Combined with Artificial Intelligence-Assisted Scoring System Improved the Diagnosis of Sclerosing Adenosis and Early Breast Cance... by Ma B, Wu G, Zhu H, Liu Y, Hu W, Zhao J, Liu Y, Liu Q

“…The combined AI model with the best performance (training AUC, 0.94, 95% CI, 0.91– 0.97 and validation AUC, 0.95, 95% CI, 0.90– 0.99) was superior to the clinical ultrasound feature model, and the decision curve also showed that the clinical ultrasound combined with AI Nomogram had good clinical practicability. …”
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Analisis Perbandingan Algoritma SVM, KNN, dan CNN untuk Klasifikasi Citra Cuaca by Mohammad Farid Naufal

“…From the test results conducted by CNN, it has the best performance with 0.942 accuracy, 0.943 precision, 0.942 recall, and F1 Score 0.942. …”
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Budget Impact of RefluxStop™ as a Treatment for Patients with Refractory Gastro-oesophageal Reflux Disease in the United Kingdom by Sam Harper, Lukasz Grodzicki, Stuart Mealing, Elizabeth Gemmill, Paul Goldsmith, Ahmed Ahmed

“…**Methods:** A model adherent to international best practice guidelines was developed to estimate the budget impact of introducing RefluxStop™ over a 5-year time horizon, from an NHS perspective. …”
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Pemeringkatan Pencarian pada Buku Pedoman Akademik Filkom UB Menuju Merdeka Belajar dan Free E-Book Pembelajaran Sebagai Prototype Local Smart Micro Search Engine Menggunakan Algor... by Imam Cholissodin, Akhmad Sa’rony, Rona Salsabila, Ilham Firmansyah, Guedho Augnifico Mahardika, Andreas Pardede, Zaien Bin Umar Alaydrus

“…This algorithm has been proven to be able to provide feedback on relevant documents through two stages of testing. he evaluation conducted on the two tests resulted in the highest average recall value of 80.6% on the 1st dataset, and 2nd dataset the best correlation was obtained between precision, recall and f-measure of 0.98, 0.99, 0.99. …”
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Hard and soft tissue alterations after the application of different soft tissue grafting materials during immediate dental implant placement: a systematic review and Bayesian netwo... by Ali Azadi, Fatemeh Rezaei, Atoosa Yazdani, Kimia Hejazi, Aryousha Moallem Savasari, Reza Amid, Mahdi Kadkhodazadeh

“…Methods Through an electronic search regarding the study’s main question (“In patients with non-restorable teeth, who receive immediate dental implants (P), what is the best adjunctive soft tissue grafting approach among different autogenous, allogenous, and xenogenous grafts (I), to achieve the desired hard and soft tissue structure (O), compared to sites without grafting (C)?”) …”
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Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

“…The performance of the predictive models was evaluated using several standard metrics, including the ROC curve, accuracy score, precision, recall, and F-measure.ResultThe final experimental results indicated that the Random Forest model performed the best in predicting pregnancy loss, achieving an accuracy of 98%, precision of 98%, F-measure of 83%, ROC curve of 94%, and recall of 77%. …”
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El Zika, un Virus Transmitido por Mosquitos by Jorge R. Rey, L. Phil Lounibos, Barry W. Alto, Nathan D. Burkett-Cadena, Cynthia C. Lord, Chelsea T. Smartt, C. Roxanne Rutledge Connelly

“…A history of the virus and its migration are included, along with some details about the virus in the state of Florida and preventative measures people can take to avoid infection. The best way to avoid contracting Zika (and other mosquito-borne diseases) is not to get bitten in the first place. …”
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A Prospective Study of Lumbar Facet Arthroplasty in the Treatment of Degenerative Spondylolisthesis and Stenosis: Early Cost-effective Assessment from the Total Posterior Spine Sys... by Jared D. Ament, Amir Vokshoor, Yaser Badr, Todd Lanman, Kee D. Kim, J. Patrick Johnson

“…**Conclusions:** In the emerging, rapidly expanding field of value-based medicine, there will be an increased demand for these analyses, ensuring surgeons are empowered to make the best, most sustainable solutions for their patients and society.…”
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Covid-19 And Performance of Selected Non-Governmental Organizations in Kabale District, Uganda. by Karungi, Molly

“…It was guided by objectives which were: to assess the role of selected NGOs on their performance in Kabale District; to explore the impacts of COVID-19 on NGOs’ performance during COVID-19 in Kabale District and to establish the best post-COVID-19 management strategies for better NGO performance Kabale District. …”
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The Impact of Sex Education Towards Moral Development Among Pupils in Kebisoni Sub-County Rukungiri District. by Kamagara, Annet

“…The study revealed the challenges that affect the teaching of sex education in the Kebisoni sub-county Rukungiri district and these included: teachers are scared to teach sex education; even the best are very discouraged, lack of training as well as their lack of training affects what happens in the classroom, lack support for their work, teachers limit their lessons to "safe" topics such as anatomy and abstinence. …”
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Effect of Parish Development Model in Enhancing Social Inclusion in Rwerere Town Council Rukungiri District. by Karuhanga, Jeremiah

“…They argued that training programs focused on financial literacy, agricultural best practices, and entrepreneurship can empower individuals to effectively utilize resources available through the PDM as this accounted for 12%. …”
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Thematic Curriculum and Pupils’ Academic Performance: A case study of Kitumba Sub-County, Kabale District. by Bibian, Kemigisha

“…Finally, the study made recommendations to bodies including government, School administrators and thematic curriculum implementers in Kitumba Sub County to organize workshops and refresher courses aimed at extending skills to teachers on how best they can run thematic curriculum in schools.…”
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Potential role of dietary white poplar (Populus alba L.) in stimulating growth, digestion, and antioxidant/immune status of Nile tilapia (Oreochromis niloticus) by Rowida E. Ibrahim, Mohamed Shaalan, Mohamed ElHady, Hanan A. Ghetas, Faten I. Elsayed, Elsayed M. Younis, Abdelwahab A. Abdelwarith, Mohamed F. Badran, Simon J. Davies, Afaf N. Abdel Rahman

“…The results revealed that WP diets substantially boosted the growth (final body weight, weight gain, and specific growth rate) with an improvement of feed conversion ratio of Nile tilapia in a level-dependent manner with the WP6 group attaining the best outcomes. WP diets improved the amylase (4–6 g/kg level) and lipase (2–6 g/kg level) activity and the intestinal morphometric measures (2–6 g/kg level), where the WP6 group recorded the highest values. …”
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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

“…ML models exploring maternal, paternal and heterosis effects showed varying levels of classification performance, with the paternal effect scenario being the best, achieving a mean Area Under the ROC curve (AUROC) of 0.74 using the Catboost (CB) algorithm. …”
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Computational analysis of heat transfer and fluid flow characteristics in a diamond microchannel heat sink with orthogonal ribs by Liang Du, Wenbo Hu, Ningkang Deng, Zhaoyang Zhang, Hongxing Wang

“…The square orthogonal rib microchannel heat sink achieves an exceptional balance between pressure drop and heat transfer coefficient, resulting in the best comprehensive performance. Following that, the reverse triangular orthogonal rib microchannel heat sink, forward triangular orthogonal rib microchannel heat sink, and rhombic orthogonal rib microchannel heat sink demonstrated progressively lower comprehensive performance, with the circular orthogonal rib microchannel heat sink exhibiting the lowest comprehensive performance. …”
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The development and validation testing of a comprehensive frailty assessment in women with breast cancer by Sheng-Miauh Huang, Ling-Ming Tseng, Chi-Cheng Huang, Pei-Ju Lien, Su-Chen Fang, Yinhui Hong

“…Using the G8 screening tool as a standard indicator of frailty, analysis of receiver operating characteristic curve showed that 31.5 was the best cut point (area under curve = 0. 816, 95% confidence interval: 0.757 to 0.874) with a sensitivity of 63.5% and specificity of 84.4%. …”
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