Rapid biphasic decay of intact and defective HIV DNA reservoir during acute treated HIV disease by Alton Barbehenn, Lei Shi, Junzhe Shao, Rebecca Hoh, Heather M. Hartig, Vivian Pae, Sannidhi Sarvadhavabhatla, Sophia Donaire, Caroline Sheikhzadeh, Jeffrey Milush, Gregory M. Laird, Mignot Mathias, Kristen Ritter, Michael J. Peluso, Jeffrey Martin, Frederick Hecht, Christopher Pilcher, Stephanie E. Cohen, Susan Buchbinder, Diane Havlir, Monica Gandhi, Timothy J. Henrich, Hiroyu Hatano, Jingshen Wang, Steven G. Deeks, Sulggi A. Lee

“…Defective DNA had a similar biphasic pattern, but data were more variable. Predicted intact and defective decay rates were faster for PLWH with earlier timing of ART initiation, higher initial CD4 + T cell count, and lower pre-ART viral load. …”
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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…IFT-GAN introduces two key innovations: 1) A Feature-Aware Sample Selection (FASS) module that employs Fisher score-based feature ranking and weighted k-means clustering to create a balanced subset enriched with discriminative fraud signatures; and 2) A Temporal Dependency GAN (TD-GAN) architecture employing a novel Time-aware Gated Recurrent Unit (TaGRU) in both the generator and discriminator, explicitly modeling the temporal intervals between transactions through adaptive temporal gating. …”
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Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System by Bedriye Dogan, Hursit Burak Mutlu, Muhammed Yildirim, Sercan Yalcin, Serpil Aslan, Niranjana Sampathila, Ozal Yildirim, Edward J. Ciaccio, Ru-San Tan, U. Rajendra Acharya

“…Notably, existing machine architectures already published in the literature have struggled to achieve comparable success rates in discerning such closely related yet distinct disease groups. …”
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A Long-Term Overview of Elasmobranch Fisheries in an Oceanic Archipelago: A Case Study of the Madeira Archipelago by Mafalda Freitas, Filipa Pinho-Duarte, Madalena Gaspar, Pedro Ideia, João Delgado, Sara C. Cerqueira, Ricardo Sousa

“…Management measures currently in place need to be updated and ought to be based on studies on the type and size of hooks for each fishery, to ultimately infer about species-specific survival rates, as well as the fishing gears’ soak time. Moreover, studies on the enhancement of food supply through fisheries discards are still missing, even though it is highly likely that this input may alter the dynamics of marine food webs.…”
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The large and central Caligo martia eyespot may reduce fatal attacks by birds: a case study supports the deflection hypothesis in nature by Iserhard, Cristiano Agra, Malta, Shimene, Penz, Carla, Fraga, Brenda Barbon, Costa, Camila Abel, Schwantz, Taiane, Bordin, Kauane Maiara

“…Eyespots did not appear to reduce attack rates, suggesting that local bird species were not intimidated. …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…The server optimizes the global model through the Federated Averaging algorithm, learning more orbital patterns and enhancing accuracy. Experimental results confirm the method’s effectiveness, with a marked increase in prediction accuracy compared to traditional methods, validating federated learning’s advantage. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU by Yerik Afrianto Singgalen

“…This study explores applying Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for sentiment analysis and trend mapping of hotel reviews, specifically focusing on customer feedback from Hotel Vila Ombak in Lombok, Indonesia. …”
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Phase Wise Classification of Abnormal Gait in Children With Cerebral Palsy Using Hybrid Neural TEMPODE Deep Learning Techniques by Yelle Kavya, S.Sofana Reka

“…The neurological condition known as Cerebral Palsy which affects motor control, frequently results in abnormal gait patterns that have a major negative influence on mobility and quality of life. …”
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DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery by Peigeng Lu, Haiyong Ding, Xiang Tian

“…Second, we introduce a GatedConv module to improve the network’s capability for building edge detection. …”
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Stem introducer designs and surgical technique play a significant role in achieving the optimal implant-cement interface by Bernard H. van Duren, Kevin Ilo, Sophie Walker, Mark Higgins, Benjamin V. Bloch, Andrew R. Manktelow, Hemant G. Pandit

“…A significant variation exists between PTS stem designs, associated fractured rates among them, and the design of introducers used. …”
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Impact of oral hygiene on the development of oropharyngeal neoplasms by D. G. Kiparisova, Yu. S. Kiparisov, N. S. Nurieva

“…The patient hygiene performance (PHP) index (Podshadley, Haley, 1968) was used to estimate his/her baseline ability. The rates of initial visits made by patients with oropharyngeal tumors to physicians of different specialties were also analyzed.Results. …”
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Meningitis caused by Aspergillus fumigatus: a case report by Yifei Zhang, Yu Ma, Rushuang Yue, Yuan Meng, Yue Jin, Chengwei Yin, Qianmei Zhou, Rong Shi

“…Conclusion A. fumigatus meningitis represents a rare but life-threatening infection characterized by diagnostic challenges and alarmingly high mortality rates. Stringent diagnostic vigilance is essential to avoid diagnostic errors in these cases. …”
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Residual Behavior and Dietary Risk Assessment of Fluopicolide, Its Metabolite and Propamocard on Three Leafy Vegetables by LI Xinxin, HUANG Lanqi, CHEN Xiu, WEN Guangyue, ZHANG Songhan, ZHAO Li

“…Results: The average recovery rates of fluopicolide, 2,6-dichlorobenzamide and propamocard were 82%–109%, 74%–103% and 76%–115%, with relative standard deviation (RSD) of 2%–13%, 1%–13% and 2%–8% in the three leafy vegetables at three spiked levels (0.01, 0.5, 30 and 70 mg/kg), respectively, and the limit of quantification was 0.01 mg/kg for all three compounds. …”
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The 2024 resurgence of Bordetella pertussis in Brazil and a decade-long epidemiological overview by Nathália Mariana Santos Sansone, Nathália Mariana Santos Sansone, Nathália Mariana Santos Sansone, Matheus Negri Boschiero, Matheus Negri Boschiero, Fernando Augusto Lima Marson, Fernando Augusto Lima Marson, Fernando Augusto Lima Marson

“…Geographically, the South region recorded the highest number of cases (N = 3,579), followed by the Southeast (N = 3,134). Incidence rates mirrored this pattern, with the South reporting 11.5 cases per 100,000 inhabitants and the Southeast, 3.54 per 100,000 inhabitants. …”
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Comparison of phytochemical composition, antimicrobial, antifungal, and antioxidant activities of lipophilic and ethanolic green tea leaf extracts by O. Yu. Maslov, M. A. Komisarenko, S. V. Ponomarenko, S. V. Kolisnyk, T. P. Osolodchenko, M. Yu. Golik

“…The lipophilic extract exhibits greater inhibition of the growth of S. aureus, E. coli, P. vulgaris, B. subtilis, and C. albicans compared to the 96 % ethanolic extract processed with chloroform, with inhibition rates of 19 %, 18 %, 12 %, 12 %, 16 %, and 20 % respectively. …”
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SQUAMOUS CELL CARCINOMA OF THE HEAD AND NECK: NEW AVENUES OF TREATMENT? by T. Braunschweig, A. Lewandrowski, D. Smeets, M. V. Bolotin

“…HPV related squamous cell carcinomas show better survival data, especially in regard to recurrence free rates or secondary carcinoma of adjacent locations. …”
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An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

“…Conventional detection methods often struggle with adaptability, generalization, and real-time decision-making, leading to high false alarm rates and inefficient fault detection. To address these challenges, this study proposes a novel deep reinforcement learning (DRL)-based framework, integrating a convolutional neural network (CNN) for hierarchical feature extraction and a recurrent neural network (RNN) for sequential pattern recognition and time-series modeling. …”
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Chemical and Morphological Constitutive Defensive Traits of Cyanobacteria Have Different Effects on the Grazing of a Small Tropical Cladoceran by Luciana Machado Rangel, Marcella Coelho Berjante Mesquita, Shara Rosa de Barros, Vinicius Neres-Lima, Michael Ribas Celano, Mauro Cesar Palmeira Vilar, Sandra Maria Feliciano de Oliveira e Azevedo, Marcelo Manzi Marinho

“…<i>M. micrura</i> ingested all cyanobacteria at reduced rates compared to single diets with <i>Monoraphidium</i>. …”
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