Natural Occlusion-Based Backdoor Attacks: A Novel Approach to Compromising Pedestrian Detectors by Qiong Li, Yalun Wu, Qihuan Li, Xiaoshu Cui, Yuanwan Chen, Xiaolin Chang, Jiqiang Liu, Wenjia Niu

“…Through ablation studies, we further investigate the impact of key parameters such as trigger patterns and poisoning rates on attack effectiveness. …”
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Global, regional, and national burden of endocarditis, 1990−2021: a systematic analysis of the GBD 2021 study by Ji Feng, Peng Liu, Hailong Li, Hong Chen, Qiwei Shen, Hualong Liu, Jinzhu Hu

“…Its global epidemiological patterns and long-term trends have not been comprehensively characterized. …”
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Utility of Nasal Debridement Following Pediatric Functional Endoscopic Sinus Surgery: A Scoping Review by Jeeho D. Kim, Bastien A. Valencia-Sanchez, Beau Hsia, Saif A. Alshaka, Gabriel Bitar, Vijay A. Patel

“…The most common indication for FESS was chronic rhinosinusitis or recurrent sinus infections while that for SLED under general anesthesia varied from institutional practice patterns to surgeon preference. No meaningful comparison of outcomes was possible as the “success rates” of FESS with or without SLED were largely based on unvalidated questionnaires and equally subjective surgeon assessments. …”
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Dynamic interactions of COVID-19 incidences, mobility, and social distancing policies in seoul: A VAR model approach by Zeyu Hu, Won Chang, Youngook Jang, Youngji Jo, Jaehun Jung

“…Social distancing policies had minimal direct effects on incidence rates but indirectly reduced them by decreasing mobility. …”
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Spatio-Temporal Dynamics of Sediment Transport Pathways: Sand Apron Bars and Islands of Tokelau and Kiribati, Central Pacific by Eugene C. Rankey, Tion Uriam, Mika Perez

“…Although there is general agreement that global change will influence low-lying atoll islands, considerable uncertainty remains concerning the nature, rates, and causes of morphological change (or, conversely, the stability) of islands. …”
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Seasonal and hospital settings variations in antimicrobial resistance among clinical isolates from cardiac patients: insights from a 7-Year study by Muhammad Umer Asghar, Arsalan Haseeb Zaidi, Muhammad Tariq, Noor Ul Ain

“…Age and sex significantly influenced pathogen isolation rates. The multiple antibiotic resistance (MAR) index was highest for S. aureus isolates between 2017 and 2019, which showed complete resistance to vancomycin and oxacillin. …”
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Mapping the Spatiotemporal Evolution of Cropland-Related Soil Erosion in China over the Past Four Decades by Yitian Xie, Tianyuan Zhang, Zhiqiang Zhang, Xudong Wu

“…In addition, grains showed the highest erosion rates, whereas fiber crops were revealed with the lowest erosion rates. …”
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Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults by Li Yao, Qiaoxing Li, Zihan Zhou, Jiajia Yin, Tingrui Wang, Yan Liu, Qinqin Li, Lu Xiao, Dongliang Yang

“…The study identified three key factors—baseline disease counts, self-rated Activities of Daily Living (ADL), and self-rated health status—as critical predictors of multimorbidity trajectories.…”
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“You feel like you come up short over and over again”: a qualitative study of provider perspectives of barriers to respectful maternity care in Boston by Katherine Fachon, Sahana Narayan, Samantha Truong, Christina Duzyj, Katherine Vergara Kruczynski, Amber Trujillo Lalla, Autumn Cohen, Patricia Barbosa, Amanda Flynn, Annekathryn Goodman

“…Disrespect in childbirth leads to increased rates of postpartum depression and lower healthcare utilization. …”
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Heavy Metal Pollution From Illegal Mining ‘Galamsey’ Activities on the Viability of Clarias gariepinus in the Oda River, Ghana by Seth Adusei, Emmanuel Kwesi Arthur, Emmanuel Gikunoo, William Amponsah, Frank Ofori Agyemang, Godfred Ohemeng‐Boahen

“…The results revealed that Hg exhibited a negative effect on fish survival, whereas Cd showed a positive impact, with varying patterns of growth and mortality rates within the three concentrations. …”
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Characterisation of the wildlife reservoir community for human and animal trypanosomiasis in the Luangwa Valley, Zambia. by Neil E Anderson, Joseph Mubanga, Eric M Fevre, Kim Picozzi, Mark C Eisler, Robert Thomas, Susan C Welburn

“…Variation in infection rates was demonstrated at species level rather than at family or sub-family level. …”
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A 60-year atmospheric nitrate isotope record from a southeastern Greenland ice core with minimal postdepositional alteration by Z. Wei, S. Hattori, S. Hattori, S. Hattori, A. Tsuruta, Z. Jiang, S. Ishino, K. Fujita, S. Matoba, L. Geng, A. Lamothe, R. Uemura, N. Yoshida, N. Yoshida, N. Yoshida, J. Savarino, J. Savarino, Y. Iizuka

“…The ice core from the southeastern Dome (SE-Dome) in Greenland is a potential record of variations in atmospheric chemistry that has experienced a lower postdepositional effect owing to a high accumulation rate (<span class="inline-formula">∼1</span> m water equivalent per year). …”
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Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning by Mohammed Assiri, Mahmoud M. Selim

“…For the feature extraction process, the squeeze-and-excitation capsule network (SE-CapsNet) effectively captures spatial hierarchies and complex relationships within gesture patterns. In addition, an ensemble of classification processes, such as bidirectional gated recurrent unit (BiGRU), Variational Autoencoder (VAE), and bidirectional long short-term memory (BiLSTM) technique, is employed. …”
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Wind Speed Forecasting in the Greek Seas Using Hybrid Artificial Neural Networks by Lateef Adesola Afolabi, Takvor Soukissian, Diego Vicinanza, Pasquale Contestabile

“…Of all the ANNs examined, the hybrid model combining Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks demonstrated superior forecasting performance compared to the individual models, as evaluated by standard statistical metrics, while it also exhibited a very good performance at high wind speeds, i.e., greater than 15 m/s. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…Hybrid forecasting models were then constructed by integrating VMD with both statistical (autoregressive integrated moving average [ARIMA]) and deep learning (gated recurrent unit [GRU], long short-term memory [LSTM], and Transformer) architectures. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…Later, this article delves specifically into the latest advancements in DL for modeling GWL, including recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU), and discusses their technical promising performance and advantages. …”
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Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

“…With the increasing demand for training efficiency, mixture-of-experts (MoEs) has become essential for scaling large models by selectively activating sub-networks of experts through a gating network, thereby optimizing performance. This paper presents molecular MoL-MoE, a multi-view MoEs framework designed to predict molecular properties by integrating latent spaces derived from SMILES, SELFIES, and molecular graphs. …”
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Mediodorsal thalamic nucleus mediates resistance to ethanol through Cav3.1 T-type Ca2+ regulation of neural activity by Charles-francois V Latchoumane, Joon-Hyuk Lee, Seong-Wook Kim, Jinhyun Kim, Hee-Sup Shin

“…Thalamocortical activity is known to orchestrate sensory gating and consciousness switching. The precise thalamic regions involved, or the firing patterns related to the unconsciousness, remain unclear. …”
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Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

“…To address this, a Time-Gated LSTM (TG-LSTM) was implemented. TG-LSTM outperformed standard LSTM for irregular data in one-step prediction but faced limitations in handling heteroscedasticity and computational cost during multi-step forecasting. …”
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EFFECT OF NEURODEGENERATIVE CHANGES IN THE BRAIN ON THE FORMATION OF THE DISEASE CLINICAL PICTURE IN PATIENTS WITH MULTIPLE SCLEROSIS by L. N. Prakhova, Ye. P. Magonov, A. G. Ilves, A. A. Bogdan, G. V. Kataeva, Ye. S. Malakhova, Zh. I. Savintseva, I. D. Stolyarov, T. N. Trofimova

“…Neurodegenerative changes of brain structures evolve with different rates, have different intensity and determine the set of symptoms of neurological impairment and severity of disability, which indicates the presence of certain patterns of the process of atrophy in the brain, forming the clinical picture of the disease.…”
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