Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

“…Using a dataset with over 250 data points and including solvents encoded with one-hot encoding, four models were compared: Gradient Boosting (GB), Light Gradient Boosting (LGB), Extra Trees (ET), and Random Forest (RF). …”
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Social Media Public Opinion Detection Using Multimodal Natural Language Processing and Attention Mechanisms by Yanxia Dui, Hongchun Hu

“…The model solves the problem of interaction between modalities, which is neglected by the direct fusion of multimodal features, and improves the model’s ability to understand and generalize the semantics of emotions. The Transformer’s encoding layer is applied to extract sophisticated sentiment semantic encodings from audio and textual sequences. …”
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Novel insights into insect mediated polystyrene biodegradation through bacterial genome analyses by Felice Zarra, Rebecca Funari, Claudio Cucini, Francesco Nardi, Antonio Carapelli, Laura Marri, Francesco Frati

“…The present study investigates the genetic profile of the newly isolated S. indicatrix strain DAI2m/c through genome sequencing, to identify enzyme-encoding genes involved in the intracellular metabolic pathways responsible for the biodegradation of the styrene monomer. …”
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Distributed training of foundation models for ophthalmic diagnosis by Sina Gholami, Fatema-E Jannat, Atalie Carina Thompson, Sally Shin Yee Ong, Jennifer I. Lim, Theodore Leng, Hamed Tabkhivayghan, Minhaj Nur Alam

“…We employed a self-supervised, mask-based pre-training strategy to develop a robust foundation encoder. This encoder was trained on seven optical coherence tomography datasets, and we compared its performance under local, centralized, and federated learning settings. …”
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Enhancing Hajj pilgrimage experience and crowd management through Hajj-related keywords-based chipless RFID tags by H. Rmili, J. Yousaf, O. Boularess, M. Noman, B. Hakim, M. Aseeri, M. Bensaleh, F.A. Tahir

“…This study presents a novel application for deploying chipless RFID tags encoded with famous Hajj pilgrimage words. Inconspicuous, cost-effective, durable, and lightweight chipless RFID tags encoded with famous Hajj keywords of “Al-Ṣafa”, “Al-Marwa”, ''Al-Tawaf, “Bidayat Al Sai”, and “Bidayat Al Tawaf” are designed and fabricated. …”
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DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks by Guang Yang, Yinbo Liu, Sijian Wen, Wenxi Chen, Xiaolei Zhu, Yongmei Wang

“…To achieve this, we introduce a PCA-augmented multi-layer heterogeneous graph-based network that concentrates on key features throughout the encoding-decoding phase. Our approach initiates with the construction of a heterogeneous graph from various similarity metrics, which is then encoded via a graph neural network. …”
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De Novo Sequencing of a Sparassis latifolia Genome and Its Associated Comparative Analyses by Donglai Xiao, Lu Ma, Chi Yang, Zhenghe Ying, Xiaoling Jiang, Yan-quan Lin

“…Interestingly, the S. latifolia genome encodes most enzymes involved in carbohydrate and glycoconjugate metabolism and is also enriched in genes encoding enzymes critical to secondary metabolite biosynthesis and involved in indole, terpene, and type I polyketide pathways. …”
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Attention-Based Convolutional Neural Network for Pavement Crack Detection by Haifeng Wan, Lei Gao, Manman Su, Qirun Sun, Lei Huang

“…Achieving high detection accuracy of pavement cracks with complex textures under different lighting conditions is still challenging. In this context, an encoder-decoder network-based architecture named CrackResAttentionNet was proposed in this study, and the position attention module and channel attention module were connected after each encoder to summarize remote contextual information. …”
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A Computational Model of Attention-Guided Visual Learning in a High-Performance Computing Software System by Alice Ahmed, Md. Tanim Hossain

“…The work employs relative two-dimensional positional encoding to address the challenge of encoding two-dimensional data such as photographs. …”
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Research on the improvement method of imbalance of ground penetrating radar image data by Ligang Cao, Lei Liu, Congde Lu, Ruimin Chen

“…The aim of this paper is to improve classification accuracy at a lower cost relative to field collection, we propose a damage data expansion method based on generative adversarial network, which consists of encoder and a generative adversarial network. We have made a number of improvements to the generator and discriminator, as well as to the newly added encoder. …”
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Differential Coding of Fruit, Leaf, and Microbial Odours in the Brains of <i>Drosophila suzukii</i> and <i>Drosophila melanogaster</i> by Claire Dumenil, Gülsüm Yildirim, Albrecht Haase

“…Flies locate fruit hosts by their odorant volatiles, which are detected and encoded by a highly specialised olfactory system before being translated into behaviour. …”
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Cloning and functional verification of Geraniol-10-Hydroxylase gene in Lonicera japonica by Shuping Zhang, Zhenhua Liu, Jia Li, Qian Liu, Yongqing Zhang, Gaobin Pu

“…Phylogenetic analysis suggests that the protein encoded by this gene belongs to the cytochrome P450 monooxygenase family. …”
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Enhanced CLIP-GPT Framework for Cross-Lingual Remote Sensing Image Captioning by Rui Song, Beigeng Zhao, Lizhi Yu

“…Furthermore, our method achieves comparable or superior performance to traditional &#x201C;encoder-decoder&#x201D; baselines in terms of BLEU, CIDEr, and METEOR metrics, while requiring only one-fifth of the training time. …”
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A paradoxical population structure of var DBLα types in Africa. by Mun Hua Tan, Kathryn E Tiedje, Qian Feng, Qi Zhan, Mercedes Pascual, Heejung Shim, Yao-Ban Chan, Karen P Day

“…The var multigene family encodes Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1), central to host-parasite interactions. …”
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Carrier-independent screen-shooting resistant watermarking based on information overlay superimposition by Xiaomeng LI, Daidou GUO, Xunfang ZHUO, Heng YAO, Chuan QIN

“…Financial security, an important part of national security, is critical for the stable and healthy development of the economy.Digital image watermarking technology plays a crucial role in the field of financial information security, and the anti-screen watermarking algorithm has become a new research focus of digital image watermarking technology.The common way to achieve an invisible watermark in existing watermarking schemes is to modify the carrier image, which is not suitable for all types of images.To solve this problem, an end-to-end robust watermarking scheme based on deep learning was proposed.The algorithm achieved both visual quality and robustness of the watermark image.A random binary string served as the input of the encoder network in the proposed end-to-end network architecture.The encoder can generate the watermark information overlay, which can be attached to any carrier image after training.The ability to resist screen shooting noise was learned by the model through mathematical methods incorporated in the network to simulate the distortion generated during screen shooting.The visual quality of the watermark image was further improved by adding the image JND loss based on just perceptible difference.Moreover, an embedding hyperparameter was introduced in the training phase to balance the visual quality and robustness of the watermarked image adaptively.A watermark model suitable for different scenarios can be obtained by changing the size of the embedding hyperparameter.The visual quality and robustness performance of the proposed scheme and the current state-of-the-art algorithms were evaluated to verify the effectiveness of the proposed scheme.The results show that the watermark image generated by the proposed scheme has better visual quality and can accurately restore the embedded watermark information in robustness experiments under different distances, angles, lighting conditions, display devices, and shooting devices.…”
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Identification of novel genes responsible for a pollen killer present in local natural populations of Arabidopsis thaliana. by Anthony Ricou, Matthieu Simon, Rémi Duflos, Marianne Azzopardi, Fabrice Roux, Françoise Budar, Christine Camilleri

“…The cellular localization of the pollen killer encoded proteins suggests that the pollen killer activity involves the mitochondria. …”
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NOVEL MULTI-MODAL OBSTRUCTION MODULE FOR DIABETES MELLITUS CLASSIFICATION USING EXPLAINABLE MACHINE LEARNING by Reehana SHAIK, Ibrahim SIDDIQUE

“…The authors propose a Novel architecture in the basis of Encoder Decoder structure named as Obstructive Encoder Decoder module. …”
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A Secure Learned Image Codec for Authenticity Verification via Self-Destructive Compression by Chen-Hsiu Huang, Ja-Ling Wu

“…Because the content of an SLIC image is either original or visually damaged after tampering, images encoded with this secure codec hold greater credibility. …”
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Polymorphism of the trehalase gene (TREH) in native populations of Siberia by B. A. Malyarchuk, M. V. Derenko

“…Here, in native populations of Siberia, we studied the polymorphism of the TREH gene, which encodes trehalase, an enzyme that cleaves trehalose. …”
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Letter Position Dyslexia in Arabic: From Form to Position by Naama Friedmann, Manar Haddad-Hanna

“…LPD is a peripheral dyslexia caused by a selective deficit to letter position encoding in the orthographic-visual analyzer, which results in migration of letters within words, primarily of middle letters. …”
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