Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

“…Taken together, this pipeline can reduce multi-scanner technical variability which can confound important biological variability in relation to neonatal brain microstructure.…”
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Effect of Shearing for Improving the Thermoregulatory Responses of Crossbred Sheep During Heat Stress by Lina Fernanda Pulido-Rodríguez, Alfredo Manuel Franco Pereira, Fábio Luís Henrique, Ricardo De Francisco Strefezzi, Messy Hannear de Andrade Pantoja, Daniel Mota-Rojas, Cristiane Gonçalves Titto

“…Skin and sweat gland morphologies one time, on the last day. At 13 h, there was no difference in rectal temperature (<i>p</i> > 0.05); however, at 20 h, sheared ewes had higher values (<i>p</i> ≤ 0.05). …”
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The impact of radiotherapy on the prognosis of metastatic clear cell renal cell carcinoma after surgery by Xuwen Li, Zhongyu Tan, Yihao Zhu, Yabo Zhai, Can Chen, Dong Wang, Mingshuai Wang, Nianzeng Xing, Feiya Yang, Xiongjun Ye

“…After propensity score matching (PSM), there were 300 cases in each group. Kaplan-Meier values and the Cox proportional hazards model were used to plot the overall survival (OS) curves, which showed that the median survival time in the radiotherapy group was significantly lower than that in the non-radiotherapy group. …”
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Effects of Peanut Insertion on Soil Dynamics in Fallow Areas by Heytor Lemos Martins, Vanesca Korasaki, Arthur Nardi Campalle, João Francisco Damião Zanqueta, Andrey Batalhão de Oliveira, Mariana Casari Parreira, Pedro Luís da Costa Aguiar Alves

“…Fallow is a practice in which the soil is left uncultivated for a period of time and is used less due to the pressure on agricultural land, which impairs soil regeneration. …”
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Investigating the plasma electrophoretic protein profile of kids and lambs during the neonatal period: An overview of their immuno-inflammatory status by Francesca Arfuso, Maria Rizzo, Claudia Giannetto, Marilena Briglia, Elisabetta Giudice, Alessandro Zumbo, Anna Assenza, Giuseppe Piccione

“…The application of two-way analysis of variance for repeated measures (ANOVA) showed the effect of time in the kids and lambs for the values of plasma total proteins, albumin, α1-, β-, γ-globulins and A/G ratio (p < 0.05). …”
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Calpastatin and myostatin genes polymorphism and their association with slaughter traits in the Gashun Soviet Merino breed grown in southern Russia by Nadezhda V. Shirokova, Vladimir K. Fiodorov, Izabella G. Kazarova, Ivan F. Gorlov, Marina I. Slozhenkina, Elena Y. Anisimova, Ekaterina V. Karpenko

“…The study aimed to investigate the genetic variability of the Gashun Soviet Merino sheep breed, determining myostatin (MSTN) and calpastatin (CAST) gene polymorphism by the PCR-RFLP method. …”
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Development of Machine Learning Prediction Models to Predict ICU Admission and the Length of Stay in ICU for COVID‑19 Patients Using a Clinical Dataset Including Chest Computed Tom... by Seyed Salman Zakariaee, Negar Naderi, Hadi Kazemi-Arpanahi

“…The incomplete records with missing values of more than 70% were excluded, and the remaining missing values were imputed using the mean and mode values for the continuous and discrete variables, respectively. …”
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Intercomparison of Leaf Area Index Products Derived from Satellite Data over the Heihe River Basin by Pan Zhou, Liying Geng, Jun Li, Haibo Wang

“…When comparing monthly uncertainties within grid cells, GLASS demonstrates superior performance, particularly in grasslands and croplands, whereas CLMS exhibits a slightly weaker ability to represent the spatial distribution of the LAI, especially in regions with high LAI values. When time series data are used to analyze the seasonal uncertainties of the products, MCD15A2H and VNP15A2H show more pronounced distortions, indicating their limited capability in capturing the temporal dynamics of the LAI. …”
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AI analysis reveals top predictors of first grade success: Insights from multifactorial screening students’ early days of school by Pedro Bem-Haja, Paulo Nossa, Andreia J. Ferreira, Diogo S. Pereira, Carlos F. Silva

“…Early prediction of students' primary school academic performance is crucial for planning timely interventions for those expected to struggle. …”
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EFFECT OF AUDIT QUALITY ATTRIBUTES AND IFRS ADOPTION ON FINANCIAL REPORTING QUALITY OF LISTED MANUFACTURING FIRMS IN NIGERIA by Aisha Chado Muhammad

“…This suggests a positive impact on financial reporting quality and the length of time from a company’s accounting year end to the date of the auditor report can determine the FRQ of listed manufacturing firms in Nigeria. …”
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The effect of thinning on trade-offs in ecosystem services: the case study of a Korean pine plantation on Mt. Gari by Kiwoong Lee, Soon Jin Yun, Minsoo Kim, Hee Moon Yang, A Reum Kim

“…Relative benefits of AGC and SR showed similar trends with the obtained values. In addition, the effects of thinning on TO varied among treatments and over time, demonstrating different degrees of TO between the two ESs. …”
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Neutrophil-to-lymphocyte ratio and systemic inflammation response index as biomarkers for the clinical outcomes of intracerebral hemorrhagic stroke patients: a prospective cohort s... by Ziyi Hu, Wei Zhu, Chaofeng Fan, Yan Jiang

“…The Mann–Whitney test, logistic regression analysis and receiver operating characteristic (ROC) analysis were performed to evaluate differences in the NLR and SIRI between hemorrhagic stroke patients at three follow-up time points. The interaction between these variables was evaluated via multiplicative and additive interaction models.ResultsOur study revealed that the cut-off values of the NLR and SIRI to predict the clinical outcomes were determined to be 6 and 4, respectively. …”
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Using Sensor Errors to Define Autonomous System Situational Awareness by Donald H. Costello, Paola Jaramillo Cienfuegos, Huan Xu

“…Through the M&#x0026;S environment, we were able to vary six separate error variables, with three unique values to provide a total of 729 different data points to be analyzed in our attempt to develop predictive equations. …”
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Robust County-Level Corn Yield Estimation Using Ensemble Machine Learning and Multisource Remote Sensing by Alireza Vafaeinejad, Alireza Sharifi, Shahid Nawaz Khan

“…However, data quality issues&#x2014;such as missing values and temporal misalignments in remote sensing datasets&#x2014;often challenge the robustness of machine learning models. …”
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Strategies for Well-being in New Work Spaces: A Case Study in a Post-Pandemic Context by María José Araya León, Ainoa Abella Garcia

“…Moreover, there is increased interest in the impact that spaces have on health, productivity and well-being as variables such as lighting, acoustics, biophilia, shape, composition, size and more influence perception and emotional, cognitive and behavioural states. …”
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HETEROGENEITY OF EARLY RHEUMATOID ARTHRITIS PATIENTS ACCORDING TO BLOOD GENE EXPRESSION: THEORETICAL BASES OF A DIFFERENTIAL THERAPY APPROACH by E V Chetina, N V Demidova, D E Karateev, E L Nasovov

“…Gene expression in their peripheral blood cells was assessed using real-time polymerase chain reaction. RA activity was estimated according to DAS28 index and joint destruction. …”
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Spatiotemporal rainfall trend analysis and drought identification in agro-climatic zones of Odisha, Eastern India by Laxmikanta Rana, Siba Sankar Sahu, Bubun Mahata, Mukul Maity, Simanchal Nayak

“…Drought is the outcome of unequal rainfall distribution over time and space which negatively impacts agricultural productivity and social well-being. …”
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Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

“…Specifically, the proposed model comprises three key components: (i) a mutual information-based feature selection method to identify the most significant input variables influencing energy consumption; (ii) a variational mode decomposition (VMD) approach to decompose the original energy consumption signal into intrinsic mode functions (IMFs), capturing relevant trends and eliminating noise; and (iii) a long short-term memory (LSTM) neural network to perform time-series forecasting of the target energy consumption values. …”
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RESULTS OF SNOW COVER FORECAST IN THE CAUCASUS REGION USING THE METHOD OF SINGULAR-SPECTRAL ANALYSIS by Boris Azretaliyevich Ashabokov, Alla Amarbiyevna Tashilova, Lara Asirovna Kesheva

“…As a result of the selection of the main components (1, 3, and 13), prognostic trends of changes in the studied variables were obtained, periods of their increase and decrease were revealed, and predicted values of the average decade height of snow cover and the number of days for the period 2018-2022 were obtained. …”
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Karakteristik fisikokimia tepung lima varietas lokal gembili dan potensinya dalam pengembangan mi bebas gluten by Markus Jambormias, Didah Nur Faridah, Tjahja Muhandri, Febby Jeanry Polnaya

“…The physicochemical properties of flour and CL of gembili noodles are greatly influenced by differences in varieties, except for gelatinization temperature and peak time. The Fufulu, Kapok and Kapok Kayanik varieties have high values and are not significantly different in the three selection indicators. …”
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