Clinical Features of Liver Injury Induced by Immune Checkpoint Inhibitors in Japanese Patients by Koji Imoto, Motoyuki Kohjima, Tomonobu Hioki, Tomoyuki Kurashige, Miho Kurokawa, Shigeki Tashiro, Hideo Suzuki, Akifumi Kuwano, Masatake Tanaka, Seiji Okada, Masaki Kato, Yoshihiro Ogawa

“…Immune checkpoint inhibitors (ICIs) have improved the survival rate of patients carrying various malignant neoplasms. …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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The Role of Intestinal Translocation in the Pathogenesis of Pneumonia in Acute Poisoning and the Contribution of Intestinal Lavage to Its Prevention and Resolution by V. A. Matkevich, T. T. Tkeshelashvili, A. G. Vorobyova, N. E. Stolbova, M. M. Potskhveriya, Yu. S. Goldfarb

“…Mortality among the patients with PPD poisoning decreased by 7 times, and with M and CS poisoning, as well as with AlD, there were no deaths, while in the respective comparison groups, the mortality rate for pneumonia was 5.1, 7.4, and 17.4 %, respectively. …”
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Near-Unity Nitrate to Ammonia conversion via reactant enrichment at the solid-liquid interface by Wanru Liao, Jun Wang, Yao Tan, Xin Zi, Changxu Liu, Qiyou Wang, Li Zhu, Cheng-Wei Kao, Ting-Shan Chan, Hongmei Li, Yali Zhang, Kang Liu, Chao Cai, Junwei Fu, Beidou Xi, Emiliano Cortés, Liyuan Chai, Min Liu

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Melatonin regulated through GhTDC5 enhances tryptophan decarboxylase against drought stress in cotton by Xin Yu, Xiugui Chen, Ning Wang, Maohua Dai, Zhining Yang, Yapeng Fan, Yuping Sun, Xinrui Zhang, Ruize Song, Menghao Zhang, Hao Lan, Fange Wu, Hui Huang, Xiao Chen, Lidong Wang, Xuke Lu, Shuai Wang, Lixue Guo, Junjuan Wang, Lanjie Zhao, Keyun Feng, Jing Jiang, Wuwei Ye

“…Abstract Tryptophan decarboxylase (TDC) is the rate-limiting enzyme in the biosynthesis of melatonin and plays a crucial role in melatonin production in plants. …”
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Language-Based Engineering Considering the Trade-off among Words in Design Reflecting User’s Emotion by Nobuhisa KATSUMATA, Sonosuke HARADA, So FUKUHARA, Masao ARAKAWA, Shogo NAKAO, Masahiko FUJIWARA

“…We analyzed the relationship between user ratings and design elements using Quantification Theory Type I and created a database of these relationships. …”
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Features of the functioning of regional airports in the context of the development of the Russian air transportation market by I. N. Rykova, A. A. Alaev, R. S. Gubanov

“…The applied methods of monographic and economic-statistical analysis, rating assessment provided the identification of patterns of changes in the results of airport operations. …”
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Association of cancer and outcomes of patients hospitalized for COVID-19 between 2020 and 2023 [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved] by Robert F Terry, Rugiatu Z Kamara, Robert J Samuels, Donald S Grant, Sulaiman Lakoh, Mustapha Kabba, Innocent Nuwagira, Yusuf Sheku Tejan, Sia Morenike Tengbe, Ibrahim Franklyn Kamara, Shermarke Hassan, Abdulai Tejan Jalloh, Divya Nair, Laura Merson

“…Conclusions This study's findings underscore the heightened vulnerability of hospitalized COVID-19 patients with cancer, revealing a higher mortality rate, longer hospital stays, and an unstructured pattern of care that reflects the complexity of managing severely ill patients during a public health crisis like the COVID-19 pandemic.…”
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Electrical Capacitance Probe Characterization in Vertical Annular Two-Phase Flow by Grazia Monni, Mario De Salve, Bruno Panella, Carlo Randaccio

“…The ECP is used to investigate a vertical air/water flow, characterized by void fraction higher than 95%, with mass flow rates ranging from 0.094 to 0.15 kg/s for air and from 0.002 to 0.021 kg/s for water, corresponding to an annular flow pattern. …”
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Construction and Validation of an Oxidative Phosphorylation Signature in High-Grade Glioma and Potential Inhibitors Screening by Hanwen Lu, Wenpeng Zhao, Bingchang Zhang, Yuanyuan Xie, Jiawei He, Huiying Yang, Zhanxiang Wang

“…Glioma is a devastating type of brain tumor with high morbidity and mortality rates. Despite current treatment options, the prognosis for glioma patients remains poor. …”
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Effective temperature in approximate quantum many-body states by Yu-Qin Chen, Shi-Xin Zhang

“…Our findings reveal a consistent exponential pattern in the energy eigenbasis decomposition contributions of approximate states across different ansatzes, optimization objectives, and quantum systems, characterized by remarkably small decay rates, i.e., high effective temperatures. …”
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Design of a High-Gain, Slotted Ultra-Wideband Antenna with T-shaped slots for Millimeter-Wave Applications by hassan falih

“…Millimeter wave (mmWave) is a crucial frequency range for fifth-generation (5G) mobile communication, characterized by wide bandwidth and higher data rates. Antenna components will be small, wideband, and high-gain for use in 5G systems. …”
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Identify suitable artificial groundwater recharge zones using hybrid deep learning models by Navaz Khalillollahi, Mohsen Isari, Hamed Faroqi, Kaywan Othman Ahmed, Kamran Nobakht Vakili, Miklas Scholz, Saad Sh. Sammeng

“…This study evaluated four deep learning models for delineating groundwater recharge zones: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and hybrid deep learning Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU). …”
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Habit-learning and decision-making circuits are susceptible to glycemic variability in type 2 diabetes: a longitudinal study by Carolina Moreno, Carolina Moreno, Carolina Moreno, Otília C. d’Almeida, Otília C. d’Almeida, Joana Crisóstomo, Nádia Canário, Leonor Gomes, Leonor Gomes, Leonor Gomes, Miguel Castelo-Branco, Miguel Castelo-Branco

“…Linear regression analysis showed that, for each increase of 1 mmol/L in MAGE value, the SPC of the temporal lobe decreases on average by 1.2% (higher atrophy rate).ConclusionThe relationship between longitudinal GM atrophy and GV has a regionally specific pattern, suggesting localized brain susceptibility to intra-daily glucose fluctuations. …”
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Viral characterization of the reassortants between canine influenza H3N2 and human pandemic (2009) H1N1 and avian H9N2 viruses in canine ex vivo tracheal explants by Tonia T. Kam, Christine H. T. Bui, Hin-Wo Yeung, Peter C. H. Wong, Alex W. H. Chin, John M. Nicholls, Malik Peiris, Kenrie P. Y. Hui, Leo L. M. Poon, Michael C. W. Chan

“…Results Co-passaging H3N2-CIV with human/avian influenza A viruses in canine tracheal explants resulted in a high rate of reassortment. Plaque-purified reassortants were all viable and able to propagate in mammalian alveolar epithelial cells. …”
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Using confidence, decision time, and confidence entropy to predict accuracy for online and real eyewitnesses by Adele Quigley-McBride, Rachel Leigh Greenspan

“…Confidence was measured in three ways: human-coded verbal statements, AI-classified verbal statements, and numeric ratings. We compared the correspondence between these confidence metrics, how multiple reflector variables relate to accuracy, and whether these patterns differ across two datasets. …”
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Verbal fluency tasks and attention problems in children with ADHD: evidence from fNIRS by Zouji Bian, Xiquan Ma, Yanhan Wang, Xiaodan Yu

“…Associations with the Swanson, Nolan, and Pelham Rating Scale (SNAP-IV) and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) scores were examined.ResultsChildren with ADHD showed significantly lower DLPFC activation and widespread negative patterns compared to neurotypically developed peers (p < 0.05). …”
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