Development of a unique crosslinked glycosaminoglycan for soft tissue repair: Treatment of interstitial cystitis/bladder pain syndrome. by Richard W Heidebrecht, Thomas H Jozefiak, Harrison C Shain, Eugene M Skrabut, Debra Saunders, Nataliya Smith, Rheal A Towner, Robert Hurst

“…The synthesis presented here allows for control of molecular weight while avoiding formation of an extended block gel. Moreover, the procedure enables further chemical modification of the SuperGAG through the selection of a capture agent. …”
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Comparative analysis of adaptability and stability of soybean genotypes for cultivar registration and protection by A. P. L. Costa, A. C. R. Moitinho, A. P. Silva, L. O. Amaral, J. S. Souza, S. H. Unêda-Trevisoli

“…Abstract One of the challenges for genetic and plant breeding is the selection of genotypes that are increasingly adapted, productive, and stable to the cultivation environments, without losing the desired agronomic traits. …”
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River floating object detection with transformer model in real time by Chong Zhang, Jie Yue, Jianglong Fu, Shouluan Wu

“…The RT-DETR, a member of the DETR family, has notably addressed the speed limitations of its predecessors by utilizing a high-performance hybrid encoder that optimizes query selection. Building upon this foundation, we introduce the LR-DETR, a lightweight evolution of RT-DETR for river floating object detection. …”
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A Lightweight Deep Learning Network with an Optimized Attention Module for Aluminum Surface Defect Detection by Yizhe Li, Yidong Xie, Hu He

“…Additionally, we introduced an optimized Convolutional Block Attention Module (CBAM) to further enhance network efficiency. …”
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Comparative demonstration trials of winter wheat varieties of the ARC “Donskoy” in the zone of blackearth soils of the Volgograd region by V. L. Sapunkov

“…Based on the official data on the preferences of farmers, there have been optimized the selection base, focusing on the varieties of the ARC “Donskoy”, considering it more important and responsible for farmers to clarify information about this significant (about 60 %) block. …”
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Petrology and Geochemistry of Early Cambrian Volcanic Rocks Hosting the Kiruna-type Iron Ore in Anomaly 10 of Sechahun, Central Iran by A. Eslamizadeh

“…Early Cambrian volcanic rocks of the Posht-e Badam tectonic block in Central Iran which is hydrothermally altered to green color rocks, hosts the Kiruna-type Iron Oxide-Apatite (IOA) mineralization in Anomaly 10 of Sechahun deposit. …”
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Adversarial example defense algorithm for MNIST based on image reconstruction by Zhongyuan QIN, Zhaoxiang HE, Tao LI, Liquan CHEN

“…With the popularization of deep learning, more and more attention has been paid to its security issues.The adversarial sample is to add a small disturbance to the original image, which can cause the deep learning model to misclassify the image, which seriously affects the performance of deep learning technology.To address this challenge, the attack form and harm of the existing adversarial samples were analyzed.An adversarial examples defense method based on image reconstruction was proposed to effectively detect adversarial examples.The defense method used MNIST as the test data set.The core idea was image reconstruction, including central variance minimization and image quilting optimization.The central variance minimization was only processed for the central area of the image.The image quilting optimization incorporated the overlapping area into the patch block selection.Considered and took half the size of the patch as the overlap area.Using FGSM, BIM, DeepFool and C＆amp;W attack methods to generate adversarial samples to test the defense performance of the two methods, and compare with the existing three image reconstruction defense methods (cropping and scaling, bit depth compression and JPEG compression).The experimental results show that the central variance minimization and image quilting optimization algorithms proposed have a satisfied defense effect against the attacks of existing common adversarial samples.Image quilting optimization achieves over 75% classification accuracy for samples generated by the four attack algorithms, and the defense effect of minimizing central variance is around 70%.The three image reconstruction algorithms used for comparison have unstable defense effects on different attack algorithms, and the overall classification accuracy rate is less than 60%.The central variance minimization and image quilting optimization proposed achieve the purpose of effectively defending against adversarial samples.The experiments illustrate the defense effect of the proposed defense algorithm in different adversarial sample attack algorithms.The comparison between the reconstruction algorithm and the algorithm shows that the proposed scheme has good defense performance.…”
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Parameter-Efficient Fine-Tuning for Individual Tree Crown Detection and Species Classification Using UAV-Acquired Imagery by Jiuyu Zhang, Fan Lei, Xijian Fan

“…To address the challenge of mitigating the influence of irrelevant ground targets in UAV imagery, we propose an Adaptive Salient Channel Selection (ASCS) method, which can be simply integrated into each transformer block during fine-tuning. …”
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Crystallographic texture and precipitation control via double austenitization in high-performance tool steel by Hamza Sofiane Meddas, Muftah Zorgani, Majid Heidari, Mousa Javidani, Tom Levasseur, Mohammad Jahazi

“…The findings were analyzed in terms of the influence of the proposed heat treatment on the refinement of the as-quenched martensite substructure and the fraction of high-angle grain boundaries (V1/V2, V1/V3 and V1/V6) variant pairs and the fraction of low-angle grain boundaries (V1/V4) pairs. Notably, block width analysis revealed that in the double austenitization treatment, block width appeared insensitive to prior austenite grain size variations. …”
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The Effectiveness of Lifestyle Adaptation for the Prevention of Prediabetes in Adults: A Systematic Review by George Kerrison, Richard B. Gillis, Shahwar I. Jiwani, Qushmua Alzahrani, Samil Kok, Stephen E. Harding, Ian Shaw, Gary G. Adams

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Mitogenome characterization and phylogeny of Neohydatothrips gracilipes (Thripidae: Sericothripinae) by Abhishek Ghosh, Shash Pal, Vikas Kumar, Anindita Datta, Soumi Dey, Sandip Mandal, Dhriti Banerjee, Kaomud Tyagi

“…The gene order of both congeneric members (samayunkur and gracilipes) is similar and shows 27 transpositions and 8 inverse transpositions with the ancestor. The gene blocks B (atp8-atp6) and H (nad2-trnW) are recovered as conserved, whereas gene block G (rrnl-trnV) conserved in all the members of suborder Terebrantia except Sericothripinae. …”
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XABH-CNN-GRU: Explainable attention-based hybrid CNN-GRU model for accurate identification of common arrhythmias by Abduljabbar S. Ba Mahel, Fahad Mushabbab G. Alotaibi, Zenebe Markos Lonseko, Ni-Ni Rao

“…The primary objective of this research is to propose an innovative classification methodology for distinguishing five distinct arrhythmia classes: Atrial premature beat (A), normal (N), ventricular premature beat (V), right bundle branch block (R), and left bundle branch block (L). The proposed methodology involves constructing a hybrid model that incorporates an attention mechanism, utilizing electrocardiogram (ECG) data from an open-source repository. …”
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Modern approaches to the diagnosis and treatment of cardiac sarcoidosis: results of a cohort study by S. V. Mairina, D. V. Ryzhkova, L. B. Mitrofanova, A. V. Ryzhkov, P. M. Murtazalieva, O. M. Moiseeva

“…The most common (53%) electrocardiographic abnormality was right bundle branch block. Ventricular arrhythmias and high-grade atrioventricular block were recorded mainly in patients with documented activity. …”
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Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization by Awais Khan, Jung-Yeon Kim, Chomyong Kim, Muhammad Attique Khan, Hyojin Shin, Jiyoung Woo, Yunyoung Nam

“…Subsequently, we developed four novel residual block and self-attention mechanisms, named residual block-deep convolutional neural network (3-RBNet), 5-RBNet, 7-RBNet, and 9-RBNet self-attention models. …”
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Lightweight privacy preservation blockchain framework for healthcare applications using GM-SSO by Adla Padma, Mangayarkarasi Ramaiah

“…Based on the computed trust score, an Adaptive Proof of Work (APoW) consensus algorithm has been used to regulate block creation. APoW implements the Genetically Modified Salp Swarm Optimization (GM-SSO) algorithm for the node selection. …”
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Characterization of “sweet spots” and optimization of volume fracturing parameters in deep tight reservoirs of Subei Basin by TANG Jiandong, ZHANG Shunkang, LIN Shiwei, GE Zhengjun, LIN Bo

“…A total of 7 conventional wells and 1 horizontal well were drilled in block X17, block F125, and block Y48. The average daily oil production per conventional well exceeded 6 tonnes, while the horizontal well maintained a stable daily output of over 10 tonnes. …”
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COVID-19 vaccination coverage survey in population 18 years and older, Bissau, Guinea-Bissau, January 2023 by Gizelo Araújo Mendonça, Mouhammed Ould Hamed, Elizabeth David dos Santos, Isaquel Bartolomeu da Silva, Mamadú Camará, Marta Helena Paiva Dantas, Jéssica da Cunha, Benvindo Joãozinho Sá, Carla Maria Costa e Sá Gomes Cá, Morto Mané, Sábado Fernandes Gomes, Sidónia Gomes Vieira, Tamagnene Vasco Gomes da Silva, Venâncio Sanca, Vitor Inhane, Domingos Bué Clode, Alberto Luís Papique, Deise Aparecida dos Santos, Augusto Na Lama, Nivreanes Tcherno Nulle Gomes

“…Based on this, a total of 210 interviews were estimated. Bissau’s selection was by convenience. The selection of clusters, blocks, households, and individuals to be interviewed was by simple random drawing. …”
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Exploring anti-SARS-CoV-2 natural products: dual-viral target inhibition by delphinidin and the anti-coronaviral efficacy of deapio platycodin D by Jiani Lu, Yan Tang, Hongtao Li, Saisai Tian, Xixiang Chen, Xueyue Song, Pengcheng Qin, Jianrong Xu, Haiyan Zhu, Liqiang Ni, Huarong Du, Weidong Zhang, Weihua Li, Lili Chen

“…SARS-CoV-2 primarily invades host cells via its spike (S) protein binding to the angiotensin-converting enzyme 2 (ACE2) on the cell membrane, mediating viral-host membrane fusion. Blocking viral entry is a crucial step in preventing infection, with the interaction between the S receptor binding domain (S-RBD) and ACE2 being a key antiviral target. …”
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COMPREHENSIVE METHODOLOGY FOR TRANSLATION ANALYSIS OF CROSS-CULTURAL INCONGRUITY IN ENGLISH ANECDOTES by Oleksandr S. Sodel

“…The qualification methodological block is a selection of relevant empirical material and general characterization of the phenomenon of the comic from the perspective of linguocultural, linguistic, and translation studies aspects of the incongruity of the English anecdote and supposes the method of continuous sampling. …”
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Morphological Arrhythmia Classification Based on Inter-Patient and Two Leads ECG Using Machine Learning by Hasballah Zakaria, Elsa Sari Hayunah Nurdiniyah, Astri Maria Kurniawati, Dziban Naufal, Nana Sutisna

“…The classification is intended to detect 5 classes of morphological arrhythmia which are Left Bundle Branch Block (LBBB), Left Right Branch Block (RBBB), Premature Ventricular Contractions (PVC), Premature Atrial Contractions (PAC), and Normal. …”
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