Combined Effects of Humic Acid-Modified Magnetic Biochar and AMF on the Properties of Saline-Alkali Soil and Photosynthetic Parameters of Muskmelon by ZHANG Yating, LOU Xueyi, WU Jiarui, LIU Hongyuan, YE Binyu, XIAO Jiamin, LI Jiameng, MIAO Yining, CHEN Xinyan, LIU Yilin, TAN Yuyu, WANG Zhichao, LIU Peng

“…[Results] Under 15 and 75 mmol/L saline-alkali stress, combined application of 20 g/kg AMF with 20% HA-MBC showed the best mitigation effects, with a “synergistic enhancement” observed. …”
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Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

“…Our diagnostic cutoff points for each index were as follows: SMA (-1.0: 152.55, -2.0: 125.89), SMA/height² (-1.0: 38.84, -2.0: 14.50), SMA/weight (-1.0: 2.14, -2.0: 1.89), and SMA/BMI (-1.0: 6.10, -2.0: 5.18) for men; SMA (-1.0: 96.08, -2.0: 76.96), SMA/height² (-1.0: 37.20, -2.0: 29.36), SMA/weight (-1.0: 1.80, -2.0: 1.61), and SMA/BMI (-1.0: 4.56, -2.0: 4.01) for women. SMA/BMI best reflected the loss of muscle mass in healthy populations by age, showing a more remarkable decrease in muscle mass in men than in women. …”
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REVIEW OF THE EUROPEAN EXPERIENCE OF AIC DEVELOPMENT AND THE ROLE OF GREEN TECHNOLOGIES IN THE MODERNISATION OF THIS PROCESS by Іnna Honcharuk, Dina Tokarchuk

“…The theoretical framework includes: a systemic approach that considers the agro-industrial complex as an integral interconnected system operating in an economic, social and environmental environment; a comparative method that provides an analysis of the European experience in implementing green technologies, with an emphasis on adapting these approaches to other conditions, identifying best practices and assessing the possibilities of their application for the modernisation of the industry; an environmental approach that studies the impact of implementing green technologies to reduce the negative impact of agricultural activities on the environment. …”
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Call for Papers: Intergenerational Justice Prize 2020 by FRFG, IF (Foundation for the Rights of Future Generations, Intergenerational Foundation)

“…The prize money will be distributed proportionally among the best submissions, which can be more or less than the top three submissions. …”
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Penerapan Metode K-Medoids untuk Pengelompokan Mahasiswa Berpotensi Drop Out by Syamsul Bahri, Dwi Marisa Midyanti

“…After clustering using the K-Medoids algorithm, the best Silhouette Coefficient evaluation results are 0.39415227406014575 with the number of clusters 2. …”
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Komparasi Data Mining Naive Bayes dan Neural Network memprediksi Masa Studi Mahasiswa S1 by Azahari Azahari, Yulindawati Yulindawati, Dewi Rosita, Syamsuddin Mallala

“…The other side, prediction accuracy of the neural network is 72.58%, so this alternative method is the best chosen. The research results show the many weaknesses of the results of prediction of Naive bayes because the level of accuracy of its validity is not high. …”
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Easy Data Augmentation untuk Data yang Imbalance pada Konsultasi Kesehatan Daring by Anisa Nur Azizah, Misbachul Falach Asy'ari, Ifnu Wisma Dwi Prastya, Diana Purwitasari

“…Then, the experiments investigate our augmentation process using classifiers of Random Forest, Naïve Bayes, and boosting-based methods like XGBoost and ADABoost, which resulted in an average accuracy increase of 0.63. The best EDA parameter results were acquired by adding a value of 0.1 in all EDA techniques to get 88.86% and 88.44% for accuracy and F1-score values. …”
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Analisis Kredit Pembayaran Biaya Kuliah Dengan Pendekatan Pembelajaran Mesin by Arliyanti Nurdin, Rizqa Amelia Zunaidi, Muhammad Arkan Fauzan Wicaksono, Agi Lobita Japtara Martadinata

“…Based on the results of uji the algorithm with the best performance is KNN with a recall for the prediction of "failure to pay" of 0,8 and prediction of "success" of 0,76. …”
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Analisis Faktor yang Berpengaruh pada Adopsi E-Commerce dan Dampaknya Bagi Kinerja UKM di Kabupaten Subang by Abu Muna Almaududi Ausat, Endang Siti Astuti, Wilopo Wilopo

“…Thus, SMEs in Subang Regency will be able to provide the best service. Thus, it can increase sales and profits, efficiency, as well as customer satisfaction. …”
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Implementasi Algoritma Genetika dalam optimasi Performa Truk Sampah Menggunakan Aplikasi Trash Queen by Arief Kelik Nugroho, Muhammad Naufal Faza

“…In this research, it was found that in just 30 generations, the best fitness result of each generation has risen by 68.4% with wheel sizes trending to a smaller size, fuel capacity to a smaller size, and cargo capacity to a larger size. …”
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Pembentukan Daftar Stopword Menggunakan Term Based Random Sampling Pada Analisis Sentimen Dengan Metode Naïve Bayes (Studi Kasus: Kuliah Daring Di Masa Pandemi) by Raditya Rinandyaswara, Yuita Arum Sari, Muhammad Tanzil Furqon

“…So this research is aimed at finding the best combination of these 3 parameters and comparing the Term Based Random Sampling stopword with the stopword tuning and without the stopword removal process in the analysis of tweet sentiment regarding online lectures using the Naïve Bayes method. …”
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Sex differences in the peripheral levels of cytokines during 12-month antipsychotic treatment in a drug-naïve schizophrenia spectrum cohort by I. Ratke, A. Torsvik, C.A. Bartz-Johannessen, F. Fathian, I. Joa, S.M. Klæbo Reitan, E.M. Løberg, M. Rettenbacher, S. Skrede, V.M. Steen, E. Johnsen, R.A. Kroken

“…Methods: This study reports pre-planned secondary outcomes from the BeSt InTro Study – a pragmatic, semi-randomised, rater-blinded comparison of amisulpride, aripiprazole, and olanzapine. …”
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Analisis Sentimen pada Data Saran Mahasiswa Terhadap Kinerja Departemen di Perguruan Tinggi Menggunakan Convolutional Neural Network by Yuliska Yuliska, Dini Hidayatul Qudsi, Juanda Hakim Lubis, Khairul Umum Syaliman, Nina Fadilah Najwa

“…Our experiments show that DoubleMax CNN has a great performance in classifying sentiment in the student’s reviews with the best Accuracy value of 98%, Recall 97%, Precision 98% and F1-Score value of 98%. …”
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Penggunaan Internet Dikalangan Siswa SD di Kota Ternate: Suatu Survey, Penerapan Algoritma Clustering dan Validasi DBI by Firman Tempola, Miftah Muhammad, Abdul Mubarak

“…For the application of the k-means clustering algorithm in 32 elementary schools in Ternate, the best cluster was obtained when the division of 4 clusters, this was based on the bouldin index davies value obtained by 0.773 smaller than the other cluster divisions. …”
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Peningkatan Performa Pengelompokan Pola Berpikir Siswa dalam Belajar pada Media Pembelajaran Menggunakan Direct Batch Growing Self Organizing Map by Mochammad Izzuddin, Ahmad Afif Supianto, Tibyani Tibyani, Hilman Ferdinandus Pardede, Asri Rizki Yuliani, Ade Ramdan

“…The final stage, evaluation is carried out on the data consisting of 12 assignments to find out the best performance of DBGSOM. The results of the evaluation that have been carried out show that DBGSOM clustering has better performance than SOM on 11 assignments out of 12 assignments. …”
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Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…The DE algorithm works by seeking the best solution in a complex parameter space through iterations and performance evaluations, thereby significantly enhancing the performance of the forecasting model. …”
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Prognostic Value of Inflammatory and Nutritional Indicators in Non-Metastatic Soft Tissue Sarcomas by Yan Y, Zhang Y, Chen Y, Zhong G, Huang W, Zhang Y

“…The combination index of the SIRI+AGR+Enneking stage achieved the best accuracy (C-index: 0.751 for DFS; C-index: 0.755 for OS). …”
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Implementasi Metode Longest Common Subsequences untuk Perbaikan Kata pada Kasus Analisis Sentimen Opini Pembelajaran Daring di Media Sosial Twitter by Alfisyar Jefry Pranata, Yuita Arum Sari, Edy Santoso

“…By using the method Longest Common Subsequences for word improvement and the method Support Vector Machine for classification with the best parameter values, namely learning rate (γ) = 0.0001, lambda (λ) = 0.1, complexity (C) = 0.001, epsilon (ϵ ) = 0.0001 and the maximum iteration = 50 can produce the average value of the evaluation results, namely precision = 0.5653, recall = 0.948, f-measure = 0.7047 and   accuracy = 0.598. …”
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Identifikasi Gagal Ginjal Kronis dengan Mengimplementasikan Metode Support Vector Machine beserta K-Nearest Neighbour (SVM-KNN) by Alvin Tarisa Akbar, Novanto Yudistira, Achmad Ridok

“…This study conducted experiments on several parameter values used to obtain the best accuracy in SVM-KNN. The parameters tested are cost, tolerance, gamma, bias on SVM, parameter k on KNN, and miu on SVM-KNN. …”
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Model Sistem Pendukung Keputusan Kelompok untuk Penilaian Gangguan Depresii, Kecemasan dan Stress Berdasarkan DASS-42 by Sri Kusumadewi, Hepi Wahyuningsih

“…The OWA operator are used to aggregate into one matrix. The best alternative selected by using Quantifier Guided Dominance Degree (QGDD). …”
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