MAEMC-NET: a hybrid self-supervised learning method for predicting the malignancy of solitary pulmonary nodules from CT images by Tianhu Zhao, Tianhu Zhao, Yong Yue, Hang Sun, Jingxu Li, Yanhua Wen, Yudong Yao, Wei Qian, Yubao Guan, Shouliang Qi, Shouliang Qi

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Low Fifth-Minute Apgar Score Analysed According to Robson Ten Group Classification at a Tertiary Hospital in Nigeria by Olakunle Makinde, Benjamin O. Awotundun, Nkencho Osegi

“…STUDY DESIGN: A cross-sectional dataset of 584 neonates of parturients at the Federal Medical Centre Yenagoa (FMCY), Bayelsa State, Nigeria between July 2020 and April 2021 was analyzed. …”
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Pengaruh Ciri Temporal, Spasial, dan Frekuensi pada Klasifikasi Motor Imagery by Afin Muhammad Nurtsani, Muhammad Adib Syamlan, Agung Wahyu Setiawan

“…One of the development is focused on the classification of Imagery Motor (MI) based on EEG signals. In this study, the dataset is taken from BCI Competition IV - 2b. The first step of the classification process is data preprocessing that is performed using BPF Butterworth 5th order with a cut-off frequency of 8 - 30 Hz. …”
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Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms by Norhan Khallaf, Osama Abd-El Rouf, Abeer D. Algarni, Mohy Hadhoud, Ahmed Kafafy

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Estimation of cytoprotective effect of bismuth tripotassium dicitrate on gastric mucosa at <i>H. pylori</i> eradication and long-term drug intake by A. V. Kononov, S. I. Mozgovoi, L. B. Rybkina, S. S. Bunova, A. G. Shimanskaya

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Prevalence and factors associated with water, sanitation and hygiene (WASH) facilities deprivation among children in Nigeria by Chima Victor, Joseph Ayodeji Kupoluyi, Funmilola Folasade Oyinlola, Victor Ojoajogwu Sule

“…Method A secondary analysis of the 2021 Nigeria Multiple Indicator Cluster Survey (MICS) was conducted to assess facility deprivations in WASH for children, along with associated determinants. A merged dataset comprising a total of 22,059 weighted observations from both the under-five children and children aged 5–17 years was used for this study. …”
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Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

“…The simulated outcome of the AAIFLF-PPCD technique is evaluated using a benchmark dataset. The performance validation of the AAIFLF-PPCD technique exhibited a superior accuracy value of 99.47% over existing models under diverse measures.…”
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Optimasi Rute Rencana Perjalanan Pesawat Menggunakan Algoritma Late Acceptance Hill Climbing (Studi Kasus : Travelling Salesman Challenge 2.0) by Ahmad Muklason, I Gusti Agung Premananda

“…The LAHC algorithm was tested on 14 datasets from TSC 2.0. The results show that the LAHC algorithm produces competitive solutions by reducing travel costs by an average of 58% and making better results by an average of 9% than the Threshold Acceptance (TA) algorithm used as a comparison algorithm. …”
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How far? Travel burdens for children admitted to hospitals in the Western Cape Province of South Africa by M Richards, D le Roux, D Pienaar

“…Conclusion: Using a large health dataset, this study demonstrates in a novel way for South Africa, the distances children travel to access admission facilities. …”
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Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging by Enes Şahin, Ozan Can Tatar, Mehmet Eşref Ulutaş, Sertaç Ata Güler, Turgay Şimşek, Nihat Zafer Utkan, Nuh Zafer Cantürk

“…Materials and methods: We used a dataset of 1290 CT images from 122 patients, segmented according to a standard 70:20:10 split for training, validation, and testing phases. …”
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Analysis of the efficacy of multidisciplinary integration based on 3D reconstruction technology for the treatment of gout stone by Shizhe Zhou, Zengxiao Zhang, Tian Liu, Yijun Xu, Yuehai Pan, Ying Chen

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Dyslipidemia among Patients with End Stage Renal Disease on Maintenance Hemodialysis by Mohammed Ghazi Abdulhadi, Mohammed Omer Mohammed, Fenk Bakir Maarouf

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Influence of sacroiliac joint variation on clinical features of axial spondyloarthritis: a comparative analysis by Denis Poddubnyy, Torsten Diekhoff, Sevtap Tugce Ulas, Fabian Proft, Valeria Rios Rodriguez, Judith Rademacher, Juliane Greese, Katharina Ziegeler, Carolina Dominguez Aleixo, Maximilian Lindholz

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Pembangunan Aplikasi Mobile Pengenalan Objek Untuk Pendidikan Anak Usia Dini by Muhammad Fadhlan Supriadi, Ema Rachmawati, Anditya Arifianto

“…Pre-trained model dari dataset COCO digunakan pada eksperimen, untuk mengenali 20 jenis objek benda di dalam rumah. …”
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Blood-based biomarkers suggest prolonged axonal Injury following pediatric mild traumatic brain injury by Andrew R. Mayer, Tracey V. Wick, Jessica R. McQuaid, Masen L. Boucher, Andrew B. Dodd, Cidney R. Robertson-Benta, Harm J. van der Horn, Erik B. Erhardt, Robert E. Sapien, Rawan Tarawneh, Rebekah Mannix

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Pengukuran Kemiripan Makna Menggunakan Cosine Similarity dan Basis Data Sinonim Kata by Ardi Sanjaya, Ahmad Bagus Setiawan, Umi Mahdiyah, Intan Nur Farida, Aprisa Risky Prasetyo

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Penerapan Algoritma Support Vector Machine pada Analisis Sentimen Terhadap Identitas Kependudukan Digital by Rita Ajeng Lestari, Adhitia Erfina, Wisuda Jatmiko

“…The presence of Identitas Kependudukan Digital has been in the public spotlight which raises pros and cons. The research dataset comes from crawling Facebook user comments from February 16 to March 10, 2023, with processing using TF-IDF word weighting and Support Vector Machine algorithms. …”
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Kombinasi Seleksi Fitur Berbasis Filter dan Wrapper Menggunakan Naive Bayes pada Klasifikasi Penyakit Jantung by Siti Roziana Azizah, Rudy Herteno, Andi Farmadi, Dwi Kartini, Irwan Budiman

“…In the classification of medical datasets, Naive Bayes is one of the best methods used. …”
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The association between digital technology use and depression among older people in China: a moderated mediation model by Qinmei Wu, Wei He, Jinfu Wang, Litao Du, Xiangli Xue, Qiang He, Yang Pan, Si Chen, Xianliang Zhang

“…ObjectiveTo investigate the association among multidimensional (Digital engagement, DE; Digital devices, DD; and Digital purpose, DP) digital technology use and depression in older Chinese, considering social participation as a mediator and physical activity level (PAL) as a moderator.MethodsData on 5,744 participants (aged≥60) were extracted from the China Health and Retirement Longitudinal Study 2020 dataset. Depression was assessed using the 10-item Center for Epidemiologic Studies Depression Scale. …”
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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

“…Analyses were conducted using EEG data of 3, 4 or 5 sessions, totaling 3960 tests on the entire dataset. At the end of the study, when considering all the tests, the overall classification accuracy using SCP alone was 67.1%, and it was 67.8% for STFT alone. …”
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