Soil organic carbon contents and their major influencing factors in mangrove tidal flats: a comparison between estuarine and non-estuarine areas by Ting Wu, Jia Guo, Gang Li, Yu Jin, Wei Zhao, Guangxuan Lin, Fang-Li Luo, Yaojun Zhu, Yifei Jia, Li Wen

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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…ANNS are inspired by the neural architecture of human brain capable of learning and recognizing patterns in unchartered data after trained examples, on the other hand GAs come from fundamental principles underlying natural selection perform optimization process based-on evolutionary methods which includes fitness evaluation, comparison, selection, crossover, and mutation. …”
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Investigating the Feasibility of Behavioral Nudges to Reduce the Phenomenon of Escape from Responsibility in Public Sector by Seyed Kamal Vaezi, Mahboubeh Hosseini

“…By statistically analyzing biases in this area, the paper refers to solutions based on the capabilities of nudge theory and the concept of choice architecture to provide access to a more desirable situation in the field of escape from responsibility in the public sector.MethodsThe present research is based on the interpretive paradigm and qualitative methodology and was conducted using thematic analysis. …”
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Deep learning radiomics nomogram for preoperatively identifying moderate-to-severe chronic cholangitis in children with pancreaticobiliary maljunction: a multicenter study by Hui-min Mao, Kai-ge Chen, Bin Zhu, Wan-liang Guo, San-li Shi

“…Handcrafted radiomics features and deep learning (DL) radiomics features, extracted using transfer learning with the ResNet50 architecture, were obtained from portal venous-phase CT images. …”
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Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN) by Theopilus Bayu Sasongko, Haryoko Haryoko, Agit Amrullah

“…In the era of deep learning models such as the complex Convolutional Neural Network (CNN) as it is today, it has new challenges such as gradient vanishing, overfitting due to dataset limitations, parameter optimization to hardware limitations. The MobileNet architecture was coined in 2017 by Howards, et al, which is one of the convolutional neural networks (CNN) architectures that can be used to overcome the need for excessive computing resources. …”
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Effects of shrinkage, temperature and the degree of connection (N/N f) on the behavior of steel-concrete composite beams by Halima Aouad, Nacer Rahal, Houda Beghdad, Mohamed Sadoun, Abdelaziz Souici, Sara Zatir, Khaled Benmahdi

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Analog parallel processor for broadband multifunctional integrated system based on silicon photonic platform by Na Qian, Defu Zhou, Haowen Shu, Ming Zhang, Xingjun Wang, Daoxin Dai, Xiao Deng, Weiwen Zou

“…Breaking the bandwidth and speed limitations of the single-computing core along with further exploring the multichannel potential of this architecture, we anticipate that the proposed APP will accelerate the development of powerful opto-electronic processors as critical support for applications such as satellite networks and intelligent driving.…”
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Spatially mapping the tumour immune microenvironments of non-small cell lung cancer by Lysanne Desharnais, Mark Sorin, Morteza Rezanejad, Bridget Liu, Elham Karimi, Aline Atallah, Anikka M. Swaby, Miranda W. Yu, Samuel Doré, Saskia Hartner, Benoit Fiset, Yuhong Wei, Baharak Kadang, Roni Rayes, Philippe Joubert, Sophie Camilleri-Broët, Pierre-Olivier Fiset, Daniela F. Quail, Jonathan D. Spicer, Logan A. Walsh

“…Recognizing these distinctions is essential for designing precision therapies tailored to each subtype’s unique immune architecture, ultimately enhancing patient outcomes.…”
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Polygenic prediction of human longevity on the supposition of pervasive pleiotropy by M. Reza Jabalameli, Jhih-Rong Lin, Quanwei Zhang, Zhen Wang, Joydeep Mitra, Nha Nguyen, Tina Gao, Mark Khusidman, Sanish Sathyan, Gil Atzmon, Sofiya Milman, Jan Vijg, Nir Barzilai, Zhengdong D. Zhang

“…Abstract The highly polygenic nature of human longevity renders pleiotropy an indispensable feature of its genetic architecture. Leveraging the genetic correlation between aging-related traits (ARTs), we aimed to model the additive variance in lifespan as a function of the cumulative liability from pleiotropic segregating variants. …”
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In-situ formation mechanism of endogenous fluorescent carbon dots during the roasting process of small yellow croaker (Larimichthys polyactis) by Yutong Qu, Shuyi Zhao, Jilong Ni, Long Jiao, Xiaoye Zhang, Soottawat Benjakul, Zhiyu Liu, Xiang Chen, Bin Zhang

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Use of Garden Design to Enhance Mental Health Among the Selected Health Facilities in Kabale Town: A Case Study of Makanga Health Facility. by Nayebare, Maria

“…Historically, plants played a significant role in hospital architecture, especially in sanatoriums treating tuberculosis and mental illnesses. …”
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A deep learning approach for automatic 3D segmentation of hip cartilage and labrum from direct hip MR arthrography by Malin Kristin Meier, Ramon Andreas Helfenstein, Adam Boschung, Andreas Nanavati, Adrian Ruckli, Till D. Lerch, Nicolas Gerber, Bernd Jung, Onur Afacan, Moritz Tannast, Klaus A. Siebenrock, Simon D Steppacher, Florian Schmaranzer

“…In this retrospective single-center study, CNNs with a U-Net architecture were used to develop a fully automated segmentation model for hip cartilage and labrum from MRI. …”
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Positional embeddings and zero-shot learning using BERT for molecular-property prediction by Medard Edmund Mswahili, JunHa Hwang, Jagath C. Rajapakse, Kyuri Jo, Young-Seob Jeong

“…The study details the pretraining architecture, fine-tuning datasets, and the performance of the BERT model with different PEs. …”
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…Specifically, for small-scale and approximate spectral ground objects, the network employs an encoder-decoder architecture consisting of dual fine-grained gated (DFG) modules. …”
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Functionality of bacterial communities in constructed wetlands used for water purification: influence of root components and seasonality by Yao Huang, Yao Huang, Weili An, Weili An, Tianzhu Ning, Zhiguang Ma, Yuelin Li, Ke Liu, Lingbo Ji, Lingbo Ji, Hongxiao Liu, Dafeng Hui, Hai Ren

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Identifikasi Emosi Pengguna Konferensi Video Menggunakan Convolutional Neural Network by Lina Lina, Arthur Adhitya Marunduh, Wasino Wasino, Daniel Ajienegoro

“…The system detects facial areas in video frames using the Viola-Jones algorithm and identifies the emotions on the detected faces using the Convolutional Neural Network (CNN) method with the VGG-16 architecture. The experimental results show that the proposed system is able to automatically detect facial areas with an accuracy of 93.15% and identify emotions from the detected faces with an accuracy of 88.39% for training data and 70.17% for test data.    …”
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Prediksi Detak Jantung Berbasis LSTM pada Raspberry Pi untuk Pemantauan Kesehatan Portabel by Ahmad Foresta Azhar Zen, Eko Sakti Pramukantoro, Kasyful Amron, Viera Wardhani, Putri Annisa Kamila

“…LSTM models are a type of artificial neural network architecture known for their ability to handle sequential data effectively, making them highly suitable for sequential heart rate monitoring and prediction. …”
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Perbandingan Prediksi Penggunaan Listrik dengan Menggunakan Metode Long Short Term Memory (LSTM) dan Recurrent Neural Network (RNN) by Nurfatima Selle, Novanto Yudistira, Candra Dewi

“…Our method uses are Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM), which is a deep learning architecture that able to capture time-series data. The process of implementing system is data normalization, data transformation, model building, training, testing, denormalization, and testing the prediction results using the Root Mean Squared Error (RMSE). …”
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Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction by Dae-Young Kim, Sang-Won Lee, Dong-Ho Lee, Sang-Chul Lee, Sang-Chul Lee, Ji-Hun Jang, Sung-Hee Shin, Dae-Hyeok Kim, Dae-Hyeok Kim, Wonik Choi, Wonik Choi, Yong-Soo Baek, Yong-Soo Baek, Yong-Soo Baek

“…The AI-ECG encompasses a novel model that combines an automatic labelling preprocessing method with a transformer architecture incorporating a triplet loss for HFmrEF analysis.ResultsThe receiver operating characteristic analyses revealed that the area under the curve of AI-ECG for identifying all types of HF was acceptable [0.873, 95% confidence interval (CI): 0.864–0.893], while that for identifying patients with HFmrEF was relatively lower (0.824, 95% CI: 0.794–0.863) than that for those with HF with reduced ejection fraction (EF) (0.875, 95% CI: 0.844–0.912) and those with normal EF (0.870, 95% CI: 0.842–0.894). …”
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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

“…This research utilizes two CNN architectures, which are Simple CNN dan DoubleMax CNN to identify the effect of the complexity of CNN architecture to final result. …”
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