Análisis técnico-económico para selección de aspersores Technical and economical analysis for sprinkler selection by Eduardo A. Holzapfel, Ximena M. Pardo, Vital P. da S. Paz, Antonieta Rodrigues, Ximena C. Orrego, Marco A. Lopez

“…To accomplish this an analysis was performed of different factors such as rate of water application, available time for irrigation, wind velocity, distribution pattern and pressure. …”
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Varied Presentations and Clinical Outcomes of Proliferative Glomerulonephritis with Monoclonal Immunoglobulin Deposit: An Indian Series of Five Patients by Uttayan Chakrabarti, Manish Chaturvedy, Arghya Majumdar, Nitin Kumar Bajpai, Aasma Nalwa, Tapabrata Das, Arpit Agarwal, Rajesh Jhorawat

“…The mean estimated glomerular filtration rate at presentation was 34.6 ml/min/1.73 m2 with 60% patients presenting as RPRF, the mean proteinuria being 5.8 g/day. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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Analyzing longitudinal trait trajectories using GWAS identifies genetic variants for kidney function decline by Simon Wiegrebe, Mathias Gorski, Janina M. Herold, Klaus J. Stark, Barbara Thorand, Christian Gieger, Carsten A. Böger, Johannes Schödel, Florian Hartig, Han Chen, Thomas W. Winkler, Helmut Küchenhoff, Iris M. Heid

“…We use longitudinal UK Biobank data for creatinine-based estimated glomerular filtration rate from 348,275 individuals to search for genetic variants associated with eGFR-decline. …”
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fNIRS evidence of abnormal frontotemporal cortex activation and functional connectivity in depressed patients after stroke: neuromodulatory mechanisms from mild to moderate depress... by Shanshan Zhou, Xiaodie Liu, Mengyuan Chen, Wenyi Chen, Yawen Pan, Yinghao Zhi

“…In contrast, the mild-PSD group displayed no notable connectivity differences between the two groups.ConclusionThis study presents distinct patterns of frontotemporal cortex activation and functional connectivity alterations associated with varying severity levels of PSD. …”
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A Cross-Sectional Analysis of Oil Pulling on YouTube Shorts by Jun Yaung, Sun Ha Park, Shahed Al Khalifah

“…., dentist, hygienist, influencer), engagement metrics, stated benefits, oil type and regimen, the use of disclaimers or citations, and stance toward oil pulling rated on a 5-point Likert scale. Speaker background and nationality were determined through publicly available channel descriptions or linked websites, with user identities anonymized and ethical approval deemed unnecessary due to the use of publicly available content. …”
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IL‐38 attenuates myocardial ischemia–reperfusion injury by inhibiting macrophage inflammation by Yuzhen Wei, Junhui Xing, Xin Su, Xiangrao Li, Xiaofei Yan, Jiangtao Zhao, Hailong Tao

“…Cardiomyocytes cocultured with the supernatant of IL‐38‐ and troponin I‐treated macrophages showed a lower rate of apoptosis than controls. Conclusions IL‐38 attenuates MIRI by inhibiting macrophage inflammation. …”
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Association of Gait Characteristics and Depression in Patients with Parkinson’s Disease Assessed in Goal-Directed Locomotion Task by Péter Kincses, Norbert Kovács, Kázmér Karádi, Ádám Feldmann, Krisztina Dorn, Zsuzsanna Aschermann, Sámuel Komoly, Tibor Szolcsányi, Árpád Csathó, János Kállai

“…In patients with PD and depression, the visually deprived multitask augments the rate of cadence and diminishes stride length, while velocity remains relatively unchanged. …”
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Chronic Hepatitis C Therapy in Liver Cirrhosis Complicated by Telaprevir-Induced DRESS by Omar Y. S. Mousa, Rossa Khalaf, Rhonda L. Shannon, Chukwuma I. Egwim, Scott A. Zela, Victor Ankoma-Sey

“…Drug reaction with eosinophilia and systemic symptoms (DRESS) is a rare yet severe adverse drug-induced reaction with up to 10% mortality rate. Recent clinical trials reported an association between DRESS and telaprevir (TVR), an NS3/4A protease inhibitor of chronic hepatitis C (CHC) virus genotype 1. …”
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Applications of multispectral autofluorescence imaging of malignant tumors by G. V. Papayan, N. N. Petrishchev, S. V. Kim, Hyung Ho Kim, V. B. Berezin, Uk Kang

“…Among observed effects the new one is an unusually active angiogenesis at early stage of tumor formation accompanied by atypical tortuous vessels with growth rate up to 3 mm/day. Two-wave excitation simultaneous laser with excitation on wavelength of 390 nm and 635 nm is shown to be promising for autofluorescence diagnosis along with single-wave excitation which is conventionally performed in the violet-blue region of the spectrum. …”
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Rabbitpox by Lyudmila F. Stovba, Aleksandr A. Petrov, Dеnis P. Belozerov, Oleg V. Chukhralia, Sergey A. Melnikov, Sergey V. Borisevich

“…A rabbitpox virus may provoke a grave and highly contagious disease in rabbits with a high death rate. The symptoms of this disease in rabbits is similar to symptoms of natural smallpox in humans. …”
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PathCare: Integrating Clinical Pathway Information to Enable Healthcare Prediction at the Neuron Level by Dehao Sui, Lei Gu, Chaohe Zhang, Kaiwei Yang, Xiaocui Li, Liantao Ma, Ling Wang, Wen Tang

“…PathCare employs an auxiliary sub-network that models future visit patterns to capture temporal health progression, coupled with a neuron-level filtering gate that adaptively selects relevant features while filtering out redundant information. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
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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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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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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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