Evaluation of Antioxidant Capacity of Solanum sessiliflorum (Cubiu) Extract: An In Vitro Assay by Diego Rocha de Lucena Herrera Mascato, Janice B. Monteiro, Michele M. Passarinho, Denise Morais Lopes Galeno, Rubén J. Cruz, Carmen Ortiz, Luisa Morales, Emerson Silva Lima, Rosany Piccolotto Carvalho

“…Antioxidant capacity in vitro tests (DPPH and ABTS) were also used to assess the extract’s ability to sequester free radicals of 70% hydroethanolic and aqueous extracts of cubiu flour. …”
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Development and validation of a nomogram for predicting postoperative new-onset constipation in elderly patients undergoing hip fracture surgery by Liyang Liu, Yugang Yuan, Junhao Zeng, Ge Zhu, Xuehua Su, Xingrui Gong, Cao Cui

“…The nomogram developed in this study showed good discriminative ability in predicting the risk of postoperative new-onset constipation in elderly patients undergoing hip fracture surgery. …”
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Influence of Gait Speed on Inter-Joint Coordination in People with and Without Parkinson’s Disease by Patrick Ippersiel, Philippe C. Dixon, Elke Warmerdam, Robbin Romijnders, Walter Maetzler, Clint Hansen

“…A repeated measures two-way ANCOVA tested the impact of gait speed on coordination and coordination variability, while group differences were evaluated using statistical parametric mapping (SPM). …”
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Can Restoring Tidal Wetlands Reduce Estuarine Nuisance Flooding of Coasts Under Future Sea‐Level Rise? by M. W. Brand, H. L. Diefenderfer, C. E. Cornu, M. A. McKeon, C. N. Janousek, A. B. Borde, T. D. Souza, M. E. Keogh, C. A. Brown, S. D. Bridgham

“…We applied the method to Coos Bay, Oregon, USA as a test case. We found restoration reduces the number of hours nuisance flooding occurs in downtown Coos Bay from 15 hr (present day conditions) to 0 hr (fully restored condition) under median SLR (82 cm by 2100). …”
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Enhancing the accuracy and generalizability of reference evapotranspiration forecasting in California using deep global learning by Arman Ahmadi, Andre Daccache, Minxue He, Peyman Namadi, Alireza Ghaderi Bafti, Prabhjot Sandhu, Zhaojun Bai, Richard L. Snyder, Tariq Kadir

“…New hydrological insight for the region: Applying global learning methodologies to DL models markedly improved forecasting performance, showcasing an ability to generalize findings to ungauged regions and even newly established weather stations. …”
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Climate-Based Prediction of Rice Blast Disease Using Count Time Series and Machine Learning Approaches by Meena Arumugam Gopalakrishnan, Gopalakrishnan Chellappan, Santhosh Ganapati Patil, Santosha Rathod, Kamalakannan Ayyanar, Jagadeeswaran Ramasamy, Sathyamoorthy Nagaranai Karuppasamy, Manonmani Swaminathan

“…The complicated and non-linear relationships between meteorological variables and disease incidence were well-represented by the ANN model. The Diebold–Mariano test further demonstrated that ANNs are more predictive than other models. …”
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Automating life science labs at the single-cell level through precise ultrasonic liquid sample ejection: PULSE by Peiran Zhang, Zhenhua Tian, Ke Jin, Kaichun Yang, Wesley Collyer, Joseph Rufo, Neil Upreti, Xianjun Dong, Luke P. Lee, Tony Jun Huang

“…Here, we present a single-cell-level laboratory automation solution that configures various experiments onto standardized, microscale test-tube matrices via our precise ultrasonic liquid sample ejection technology, known as PULSE. …”
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Spatiotemporal Evolution of Precipitation Concentration in the Yangtze River Basin (1960–2019): Associations with Extreme Heavy Precipitation and Validation Using GPM IMERG by Tao Jin, Yuliang Zhou, Ping Zhou, Ziling Zheng, Rongxing Zhou, Yanqi Wei, Yuliang Zhang, Juliang Jin

“…Key methods include Mann–Kendall trend tests for detecting changes, Hurst exponents for persistence, Pettitt detection for abrupt shifts, random forest modeling to assess atmospheric teleconnections, and hot spot analysis for spatial clustering. …”
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TEMPO-Oxidized Spruce Galactoglucomannan–Biopolymer with Enhanced Antioxidant Activity and Selective Heavy-Metal Sorption by Vladislav A. Ionin, Yuriy N. Malyar, Valentina S. Borovkova, Dmitriy V. Zimonin, Aleksandr S. Kazachenko

“…According to antioxidant activity tests, the oxidized galactoglucomannan exceeds the initial sample in terms of hydroxyl radical scavenging ability. …”
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Beyond Standard Losses: Redefining Text-to-SQL with Task-Specific Optimization by Iker Azurmendi, Ekaitz Zulueta, Gustavo García, Nekane Uriarte-Arrazola, Jose Manuel Lopez-Guede

“…In recent years, large language models (LLMs) have shown an impressive ability in translating text to SQL queries. However, in real-world applications, standard loss functions frequently fail to capture the complexity of queries adequately. …”
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Establishment of a Discrete Element Model for Wheat Particles Based on the Ellipsoidal Method and CFD–DEM Coupling by Boxuan Gu, Can Hu, Jianfei Xing, Xiaowei He, Xufeng Wang, Kai Ren, Long Wang

“…The effectiveness of the multi-sphere combination models was verified, indicating their ability to accurately reflect the dynamic behavior of wheat seeds and improve the design and optimization efficiency of pneumatic precision seed-metering devices.…”
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Optimization and application of a forensic microsatellite panel for two endangered freshwater turtle species (Cuora flavomarginata and Mauremys mutica) in Taiwan by An-Ping Cheng, Chi-Chun Huang, Chi-Feng Tsai, Fang-Tse Chan, Yu-Tzu Cheng, Chih-Chiang Wang, Hou-Chun Chen, Kuo-Hsiang Hung

“…In this study, we will test and characterize of microsatellites for C. flavomarginata and M. mutica in Taiwan for the application in conservation genetic or wildlife forensic studies. …”
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A Hybrid LMD–ARIMA–Machine Learning Framework for Enhanced Forecasting of Financial Time Series: Evidence from the NASDAQ Composite Index by Jawaria Nasir, Hasnain Iftikhar, Muhammad Aamir, Hasnain Iftikhar, Paulo Canas Rodrigues, Mohd Ziaur Rehman

“…Furthermore, the Diebold–Mariano test is used to determine the statistical significance of any forecast improvements. …”
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Reduced avoidance behaviour in Daphnia magna due to agrochemical-induced vulnerability by María Eugenia López-Valcárcel, Ana del Arco, Cristiano V.M. Araújo, Gema Parra

“…Populations with a previous disturbance history, which show a lower ability to respond to subsequent stressors, are defined as vulnerable. …”
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Proteomic Profiling Reveals TPR and FGA as Predictive Serum Biomarkers of Relapse to First- and Second-Generation EGFR-TKIs in Advanced Lung Adenocarcinoma by Pritsana Raungrut, Wararat Chiangjong, Thipphanet Masjon, Saowanee Maungchanburi, Thidarat Ruklert, Narongwit Nakwan

“…The association between the clinical variables and treatment response was evaluated using the chi-square test. <b>Results</b>: The serum expression levels of the translocated promoter region (TPR), junction plakoglobin (JUP), and fibrinogen alpha chain (FGA) were significantly higher in patients with late rather than early relapse. …”
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External Validation of SAFE Score to Predict Atrial Fibrillation Diagnosis after Ischemic Stroke: A Retrospective Multicenter Study by Miguel Quesada López, Laura Amaya Pascasio, Sara Blanco Madera, Jorge Pagola, Diana Vidal de Francisco, Elena de Celis Ruiz, Inmaculada Villegas Rodríguez, Joaquín Carneado-Ruiz, Juan Antonio García-Carmona, Juan Manuel García Torrecillas, Ana López Ferreiro, Iker Elosua Bayes, Ricardo Jaime Rigual Bobillo, María Isabel López López, Íñigo Esain González, María Dolores Ortega Ortega, Marina Blanco Ruiz, Irene Pérez Ortega, Carlos Lázaro Hernández, Blanca Fuentes Gimeno, Antonio Arjona Padillo, Patricia Martínez Sánchez

“…Calibration analysis in the external cohort showed an absence of significant differences between the observed values and those predicted by the model (Hosmer-Lemeshow’s test 0.089). Conclusions. The SAFE score showed adequate discriminative ability and calibration, so its external validation is justified. …”
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Small and Medium-sized Enterprises’ Resilience to Socioeconomic Challenges in Emerging Economies: The Impact of Entrepreneurial Orientation on Organisational Ambidexterity by Medhat Abu Taleb, Passent Ibrahim Tantawi, Mohamed A. Ragheb, Dalia Amara

“…In an increasingly dynamic and competitive environment, small and medium-sized enterprises must balance exploratory and exploitative activities – an ability defined as organizational ambidexterity – to sustain innovation, adaptability, and performance. …”
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Inhibition of growth of colorectal cancer patient-derived subcutaneous xenografts using combined Wnt signaling pathway inhibitor and 5‑fluorouracil by A. S. Goncharova, A. V. Galina, D. V. Khodakova, G. Yu. Egorov, A. Yu. Maksimov, E. N. Kolesnikov, E. F. Komarova, A. A. Kiblitskaya, E. V. Zaikina, L. Z. Kurbanova, M. V. Mindar

“…Criteria for the efficacy of the tested agents and their combination included tumor growth rate and tumor growth inhibition rate (TGI %).Results. …”
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Preoperative prediction of lymph node metastasis in patients with ovarian cancer using contrast-enhanced computed tomography-based intratumoral and peritumoral radiomics features by Jing Zhang, Qiyuan Li, Haoyu Liang, Yao Wang, Li Sun, Qingyuan Zhang, Chuanping Gao

“…The combined radiomics signature showed the best prediction ability, with accuracy of 0.783 and an AUC of 0.860 (95% confidence interval 0.779–0.941). …”
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Modular Neural Network Model for Biometric Authentication of Personnel in Critical Infrastructure Facilities Based on Facial Images by Oleksandr Korchenko, Ihor Tereikovskyi, Ruslana Ziubina, Liudmyla Tereikovska, Oleksandr Korystin, Oleh Tereikovskyi, Volodymyr Karpinskyi

“…Innovative features of the developed modular model include the ability to recognize spoofing attacks based on environmental artifacts and the naturalness of emotions, as well as an increase in the accuracy of person recognition due to the use of a U-Net neural network to highlight natural facial contours in occlusions. …”
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