<i>ZmNLR</i><i>-7</i>-Mediated Synergistic Regulation of ROS, Hormonal Signaling, and Defense Gene Networks Drives Maize Immunity to Southern Corn Leaf Blight by Bo Su, Xiaolan Yang, Rui Zhang, Shijie Dong, Ying Liu, Hubiao Jiang, Guichun Wu, Ting Ding

“…Upon inoculating the <i>ZmNLR-7</i> EMS mutants with <i>Bipolaris maydis</i>, the disease index was increased to 33.89 and 43.33, respectively, and the lesion expansion rate was higher than that in the wild type, indicating enhanced susceptibility to southern corn leaf blight. …”
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Surgeon Sex and Postoperative Resource Utilization: A Population-Based Cohort Study by Kiyan Heybati, BHSc, Raj Satkunasivam, MD, MS, Khatereh Aminoltejari, MD, MSc, FRCSC, Hannah S. Thomas, MBChB, MS, Arghavan Salles, MD, PhD, Natalie Coburn, MD, MPH, Frances C. Wright, MD, Med, FRCSC, Lesley Gotlib Conn, PhD, Amy N. Luckenbaugh, MD, Sanjana Ranganathan, MD, Carlos Riveros, MD, Jason Sutherland, PhD, Colin McCartney, MBChB, PhD, FRCA, FFARCSI, FRCPC, Kathleen Armstrong, MD, MSc, FRCSC, Barbara Bass, MD, Allan S. Detsky, MD, PhD, CM, Angela Jerath, MD, MSc, Christopher J. D. Wallis, MD, PhD

“…Patients treated by male surgeons had higher use of postoperative resources versus those with female surgeons within 30 days (adjusted rate 33.1; 95% confidence interval [CI]: 28.0–39.2 versus 31.2; 95% CI: 25.8–37.7), 90 days, and 1 year. …”
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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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Diosgenin and solasodine-based saponins and sapogenines—Effects of structural modifications on Panagrellus redivivus, Spodoptera littoralis and Trichoderma reesei by Christina Rodler, Johann Schinnerl, Miriam Schalamun, Wolfgang Hinterdobler, Lothar Brecker

“…We show that the bioactivity is highly variable, depending not only on the tested organisms, but also on the glycosylation pattern. Especially 26-amino-(22R,25R)-furost-5-en-3β-ol exhibited high nematocidal (75 % mortality rate), anti-herbivorous (feeding rate reduced to 0.4 % leaf area/min) as well as anti-fungal properties (47 % increased anti-fungal activity compared to solasodine) whilst the other tested compounds exhibited only moderate activities.…”
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A novel wound dressing material with prolonged action by S. M. Dronov, V. Yo. Mamchur, I. P. Koshova, D. O. Stepanskyi, H. M. Kremenchutskyi, V. M. Toropin, B. V. Murashevych, K. S. Burmistrov

“…Acute toxicity pharmacological studies of material test-samples containing 6 % and 9 % active chlorine in a single application on the skin of rats and rabbits found that these applications did not lead to deaths, as well as changes in their behavioral pattern, consumption of feed and water. The epithelization rate of uninfected wound surface in application of dressings containing both sodium N-chlorosulfonamide and N, N-dichlorosulfonamide was significantly, on average 1.5 times, faster at the end of the observational period (day 14) in comparison with the control group animals. …”
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Drug Utilization Evaluation of Erythropoietin at a Referral Teaching Hospital in Iran by Iman Karimzadeh, Hanieh Rasekh, Ava Karimian, Mojtaba Shabani-Borujeni, Afsaneh Vazin

“…The aim of this study was to evaluate the pattern of erythropoietin use, according to standard guidelines, in patients admitted to Namazi Hospital in Shiraz, Iran. …”
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Genetic selection modulates feeding behavior of group-housed pigs exposed to daily cyclic high ambient temperatures. by Alícia Zem Fraga, Luciano Hauschild, Paulo Henrique Reis Furtado Campos, Marcio Valk, Débora Zava Bello, Marcos Kipper, Ines Andretta

“…After defining the meal criteria, the number of meals (n), feed intake rate (g/min), feed intake (g/meal), feeder occupancy (min/meal), and interval between meals (min) of each animal were calculated. …”
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Fetal status and perinatal outcomes in placenta previa by Yu. N. Fatkullina, A. G. Yashchuk, A. Yu. Lazareva, N. A. Stetsenko, N. A. Tadzhiboeva, L. A. Fayzullina

“…Obstetric hemorrhage associated with placental abnormalities holds a leading place in the pattern of massive hemorrhage and maternal mortality, have been increasingly relevant due to the elevating rate of abdominal delivery.Aim: to assess fetal condition, parameters of uteroplacental and fetal hemodynamics as well as perinatal outcomes in pregnancy complicated with placenta previa.Materials and Methods. …”
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Efficiency of Electrical Cardioversion of Paroxysmal Atrial Fibrillation in the Use of Bipolar QuasiSinusoidal Impulse in Patients with Coronary Heart Disease by V. A. Vostrikov, K. V. Razumov

“…The ECV success rate was 88.6% in patients with clinically relevant and severe (acute chronic) heart failure (HF), 98% in those with mild HF and without its clinical signs (p&lt;0.05), and 83% in those with acute myocardial infarction. …”
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Assessment of Exploited Stock and Management Implications of Tiger Tooth Croaker (<i>Otolithes ruber)</i> in Coastal Waters of Makran, Pakistan by Samroz Majeed, S M Nurul Amin, Asad Ullah Ali Muhammad, Sudheer Ahmed

“…The exploitation rate (E) was 0.70, indicating severe overexploitation. …”
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A method for predicting postpartum depression via an ensemble neural network model by Yangyang Lin, Dongqin Zhou

“…At the same time, the Dropout mechanism of the DNN reduces the overfitting risk of the proposed model and enhances its generalization ability, enabling the proposed model to better adapt to different clinical data.ResultsThe proposed model achieved the following performance metrics on the PPD dataset: accuracy of 0.933, precision of 0.958, recall of 0.939, F1-score of 0.948, Matthews Correlation Coefficient (MCC) of 0.855, specificity of 0.923, Negative Predictive Value (NPV) of 0.889, False Positive Rate (FPR) of 0.077, and False Negative Rate (FNR) of 0.061. …”
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The Influence of Running Technique Modifications on Vertical Tibial Load Estimates: A Combined Experimental and Machine Learning Approach in the Context of Medial Tibial Stress Syn... by Taylor Miners, Jeremy Witchalls, Jaquelin A. Bousie, Ceridwen R. Radcliffe, Phillip Newman

“…<b>Results</b>: A 10% speed reduction decreased peak tibial acceleration (PTA), vertical average loading rate (VALR), vertical instantaneous loading rate (VILR), and vertical impulse by 13%, 10.9%, 9.3%, and 3.2%, respectively. …”
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Recent trends in dental research in Saudi Arabia: Mapping review (2010–2020) by Waad Khayat, Mona Rajeh

“…The most productive years were 2018 and 2019, and the average annual growth rate of research productivity was 21%. Implant dentistry showed the fastest growth rate. …”
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Evaluation of charging frequency for electric vehicles considering drivers’ charging behaviours and high output chargers by Tetsu Yamada, Atsushi Akisawa

“…With the recent global introduction of high-output chargers, such as those rated 350 kW, evaluating their impact on EV charging demand has become increasingly important. …”
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Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…The methodology incorporates quadratic exponential smoothing for outlier mitigation, followed by sequential feature extraction using convolutional neural networks (CNNs) and bidirectional gated recurrent units (GRUs). Comparative experiments demonstrate the model’s superiority over conventional architectures including RNN, LSTM, GRU, and CNN-GRU. …”
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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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Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among traffic flows. …”
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Epidemiological characteristics and influencing factors of the cluster outbreaks of influenza-like illness in Yangpu District， Shanghai， 2012‒2022 by XIE Qianru, JIANG Chenyan, TAO Fangfang, QIAO Peng

“…ObjectiveTo analyze the epidemiological characteristics and influencing factors of clustered influenza-like illness (ILI) outbreaks in Yangpu District, Shanghai from 2012 to 2022, and to provide a scientific basis for formulating specific prevention and control measures of influenza in this district.MethodsData on clustered ILI outbreaks from 2012 to 2022 were collected, and the epidemiological pattern of the cluster outbreaks of influenza and its influencing factors of prevalence and duration were explored using statistical methods such as descriptive epidemiology, χ² test and logistic regression analysis.ResultsA total of 60 clustered ILI outbreaks were reported in Yangpu District, Shanghai from 2012 to 2022, with a cumulative number of 543 cases and an annual average incidence rate of 16.96%. …”
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Non-uniform temperature fields and debonding of a long-span CFST arch bridge under coupled environmental actions by Qian Zhou, Jiao Wan, Jingzhou Xin, Jiu-qun Mao, Jianting Zhou

“…Experimental and theoretical analyses yielded several significant findings: (1) During the hydration exothermic phase, the temperature field at concrete center exhibited a tri-linear distribution pattern (characterized by rapid initial rise, subsequent decline, and final stabilization), with the ascending rate significantly exceeding the descending rate; temperatures exceeded 50°C between 25 and 73 h post-placement. (2) The external steel tube temperature demonstrated sinusoidal diurnal variations during and post-hydration, closely correlating with ambient temperature fluctuations; after hydration, concrete temperatures also followed sinusoidal diurnal distributions, with amplitudes increasing proportionally to radial distance from the center. (3) A pronounced radial temperature gradient from center to surface manifested during hydration, reaching a maximum differential of 40°C; the temperature gradients substantially decreased to 7°C after hydration. (4) Longitudinal stress differentials between the interface steel tube and concrete measured 42.5 MPa (sun-exposed side) and 74.2 MPa (shadowed side), while radial stress differentials were −1.37 MPa and −0.34 MPa, respectively. (5) The temperature field model demonstrated a tri-linear distribution pattern with an effective influence depth of D/8 to D/4 (where D represents steel tube diameter); the temperature constant exhibited significant temporal dependency on environmental conditions and hydration heat evolution. (6) Although longitudinal relative slip occurred at the steel-concrete interface during placement, no void was detected.…”
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