Utility of myocardial work by echocardiography in the early diagnosis of cardiotoxicity by Denise Cortes-Pérez, Diana Romero-Zertuche, Gabriela Rodríguez-Guzmán, Itzel Calixto-Guízar, Carlos Martínez-Hernández

“…Aim: Evaluate the role of myocardial work by echocardiography and determine its utility as an early diagnosis of cardiotoxicity. …”
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Angle-dependent in Situ Fast Flavor Transformations in Post-neutron-star-merger Disks by Kelsey A. Lund, Payel Mukhopadhyay, Jonah M. Miller, G. C. McLaughlin

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Reliability testing of sonographic techniques in detecting lateral displacement of patellar tendon by Jan-Tyrone Cabrera, Consuelo Gonzalez-Suarez, Cristel Bernice Wee, Gabriel Rodnei Geslani, Emmanuel Guevara, Reil Vinard Espino, Ivan Neil Gomez

“…Methods: Intra-rater and inter-rater reliability study of three sonologist on the lateral displacement of the patellar tendon using ultrasound. …”
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Voice-Evoked Color Prediction Using Deep Neural Networks in Sound–Color Synesthesia by Raminta Bartulienė, Aušra Saudargienė, Karolina Reinytė, Gustavas Davidavičius, Rūta Davidavičienė, Šarūnas Ašmantas, Gailius Raškinis, Saulius Šatkauskas

“…<b>Methods:</b> We applied deep neural networks and a benchmark of binary logistic regression to classify blue and pink synesthetically voice-evoked color classes using 136 voice features extracted from eight study participants’ voice recordings. …”
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Risk assessment and prediction of occult uterine sarcoma in patients with presumed uterine fibroids before high-intensity focused ultrasound treatment by Qian Wang, Zhenjiang Lin, Xiaogang Zhu, Yangyang Wang, Ying Zhang, Min He, Lian Zhang

“…Objective To develop a diagnostic model for predicting occult uterine sarcoma in patients with presumed uterine fibroids.Materials and methods We retrospectively reviewed 41631 patients with presumed uterine fibroids who presented for HIFU treatment in 13 hospitals between November 2008 and October 2023. …”
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Enhancing skull base tumor management: the combination of 3D printing technology and endoscopic surgical techniques by Xiao Li, Peng Gao, Angsi Liu, Fuxing Zuo, Ke Hu, Yang Wang, Haiyan Li, Jianxin Kong, Xueji Li

“…These models served a critical role in preoperatively determining the most effective surgical approaches. …”
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Design of a Mechanised Sorghum Sieving Machine Used in Agriculture Production. by Amanya, Davis

“…This study was formulated to design and simulate a mechanized sieving machine for sorghum, incorporating a detailed study of existing designs and utilizing SolidWorks software for conceptualization. The methods involved desk review by comparing the existing specifications with the mode of operations, and interviews through direct interviews with local farmers about the capacity of their product. …”
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Optimization of intraocular lens optical power calculation using artificial intelligence capabilities by A.R. Vinogradov, S.V. Balalin, E.G. Solodkova

“…Material and methods. A retrospective analysis of 1337 uncomplicated phacoemulsification with implantation of a monofocal IOL RAO100C (Rayner) was performed. …”
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The relationship between shift work, circadian rhythms, and cognitive function in ICU nursing by Saeideh Moosavi, Mehran Ghalenoei, Mohammad Amerzadeh, Ali Safari Variani

“…Given the vital role of cognitive functions such as working memory and attention, this study investigated the impact of circadian rhythm disturbances on the cognitive performance of intensive care unit (ICU) nurses in Qazvin City, Iran. Methods The study population consisted of 36 nurses. …”
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Human counting versus artificial intelligence for assessing medullation in mohair fibres by N Giovannini, D Sacchero, C Quispe Bonilla, M Quispe Bonilla, E Quispe Peña

“…The study compares human assessment with artificial intelligence (AI) methods for detecting medullated fibres in mohair, a critical quality determinant for the textile industry. …”
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Better public housing management in Ghana by Samson Aziabah

“…A pragmatic approach was adopted for this research, within which case studies, lesson drawing, and transferability strategies were applied. The methods of data collection and analyses were largely qualitative, with minimal application of quantitative techniques. …”
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Whole-Body Diffusion-Weighted Magnetic Resonance Imaging and Positron Emission Tomography Combined with Computed Tomography in the Staging of Lymphomas by S. A. Kharuzhyk, E. A. Zhavrid, A. V. Dzyuban, K. V. Poddubnyy, E. V. Sukolinskaya, O. A. Kalenik

“…Objective – to compare the diagnostic efficiency of whole-body diffusion-weighted magnetic resonance imaging (DW-MRI) and positron emission tomography combined with computed tomography (PET/CT) in the staging of lymphomas.Material and methods. …”
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Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption by Minjian Li, Chongqiao Tang, Junhan Gu, Nianchu Li, Ahemaide Zhou, Kunlin Wu, Zhibo Zhang, Hui Huang, Hongqiang Ren

“…To overcome the complexity of wastewater compositions, an unsupervised machine learning algorithm, spectral clustering, is introduced to analyze 2,576 WWTPs across China, effectively characterizing influent quality as a single variable and contributing to robust benchmarks with 75 % of the fittings achieving coefficients of determination (R2) >0.85. The benchmarks are established with four critical parameters influencing electricity consumption: scale, influent quality, discharge standard and treatment process. …”
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A Novel CTC-Binding Probe: Enzymatic vs. Shear Stress-Based Detachment Approaches by Sophia Krakowski, Sara Campos, Henri Wolff, Gabi Bondzio, Felix Hehnen, Michael Lommel, Ulrich Kertzscher, Paul Friedrich Geus

“…In the context of cancer, circulating tumor cells (CTC) can be used as biomarkers to determine the nature of the tumor, its stage of progression, and the efficiency of the administered therapy through monitoring. …”
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Lactational performance effects of 3-nitrooxypropanol supplementation to dairy cows: A meta-regression by L.F. Martins, M. Maigaard, M. Johansen, P. Lund, X. Ma, M. Niu, A.N. Hristov

“…Mixed-effects models were fitted using the robust variance estimation method. Full models containing uncorrelated explanatory variables (Pearson correlation <0.50) were fitted, and variables were removed from the final model if nonsignificant using the stepwise selection approach. …”
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Comparative Quantitative and Discriminant Analysis of Wheat Flour with Different Levels of Chemical Azodicarbonamide Using NIR Spectroscopy and Hyperspectral Imaging by Hongju He, Yuling Wang, Shengqi Jiang, Jie Zhang, Jicai Bi, Hong Qiao, Leiqing Pan, Xingqi Ou

“…The raw spectra were preprocessed using 14 methods and then mined by the partial least squares (PLS) algorithm to fit ADA levels using different numbers of WF samples for training and validation in five datasets (N_Training/_Validation = 189/21, 168/42, 147/63, 126/84, 105/105), yielding better abilities of NIR Savitzky–Golay 1st derivative (SG1D) spectra-based PLS models and raw HSI spectra-based PLS models in quantifying ADA with higher determination coefficients and lower root-mean-square errors in validation (R²_V & RMSEV), as well as establishing 100% accuracy in PLS discriminant analysis (PLS-DA) models for identifying excessive ADA-contained WF in each dataset. …”
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Developing and Validating Monosyllabic Speech Materials with Psychometric Homogeneity for Young Adult Turkish-Azeri Speakers in Iran and Compiling the Equivalent Word Lists by Amirreza Karami, Nariman Rahbar, Behrooz Mahmoodi-Bakhtiari, Seyyed Jalal Sameni, Nayiere Mansouri

“…This study aimed to develop and validate Turkish-Azeri monosyllabic words with phonetic balance and psychometric homogeneity for the WRS test in young adult Turkish-Azeri speakers in Iran and to compile four 25-item word lists. Methods: In this cross-sectional/comparative study, four lists of 25 monosyllabic words with phonetic balance were created by extracting common words from Turkish-Azeri dialects and assessing them in terms of ease of use, familiarity, and relevance. …”
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Research on time series prediction model for multi-factor environmental parameters in facilities based on LSTM-AT-DP model by Longwei Liang, Longwei Liang, Hui Shi, Hui Shi, Zhaoyuan Wang, Shengjie Wang, Changhong Li, Ming Diao

“…The model architecture employs: (1) a Data Preprocessing (DP) module combining Wavelet Threshold Denoising (WTD) for noise elimination and Sliding Window (SW) technique for feature matrix construction; (2) an LSTM core for deep temporal modeling; and (3) an Attention Mechanism (AT) for dynamic feature weighting to enhance critical temporal feature extraction.ResultsIn 24-hour prediction tests, the model achieved determination coefficients (R²) of 0.9602 (temperature), 0.9529 (humidity), and 0.9839 (radiation), representing improvements of 3.89%, 5.53%, and 2.84% respectively over baseline LSTM models. …”
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Capítulo VIII: heredabilidad del rendimiento y sus componentes en tomate, Lycopersicon esculentum, Mill.; correlaciones genéticas y ambientales by Lobo Arias Mario, Vallejo Cabrera Franco Alirio

“…The results indicate that the best method to improve yields would be a selection index considering mean weight of fruits and giving some consideration to number of fruits per plant. …”
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Patient-Reported Outcome Scores Are Comparable When Administered at Home or in Clinic Following Hip Preservation Surgery by Bill Garrett Bodine, M.D., Ashley L. Kapron, Ph.D., Benjamin T. Johnson, B.S., Travis G. Maak, M.D., Justin J. Ernat, M.D., Stephen K. Aoki, M.D.

“…Mixed-effects multivariable linear regression analysis, including order of completion as a covariate (i.e., home or clinic first), was used to determine differences in home and clinic scores. Intraclass correlation coefficients were calculated to evaluate reliability. …”
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