The Dynamic Landscape of 3′‐UTR Alternative Polyadenylation Across Mouse Fetal Development and Anatomy by Qin Wang, Xin Chen, Xiao‐Ou Zhang

“…This comprehensive resource aids in deciphering the functional implications of APA in mouse fetal development.…”
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The causal and scaling relationships among anatomical traits explain tree mortality in subtropical forests under extremely high temperatures by Danrong Wang, Hong Chen, Yongchuan Yang

“…Leaf anatomical, stomatal, and twig functional traits were measured to understand species responses to thermal stress. …”
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Heuristic Optimization-Assisted Dilated Convolution Neural Network With Gated Recurrent Unit for Channel Estimation in NOMA-OFDM System by Vijayakumar Kondepogu, Budhaditya Bhattacharyya

“…NOMA enables numerous users to share identical blocks of resources with varying power distribution factors. …”
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Maximum Entropy Principle Based on Bank Customer Account Validation Using the Spark Method by Xiaorong Qiu, Ye Xu, Yingzhong Shi, S. Kannadhasan Deepa, S. Balakumar

“…This research works in the field of money laundering detection from real bank data. Banking data analysis is a complex process that involves information gathered from various sources, mainly in terms of personality, such as bills or bank account transactions which have qualitative characteristics such as the testimony of eyewitnesses. …”
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Genome-wide association analysis identified the involvement of MRPS22 in the regulation of Muscovy duck broodiness by Hailiang Yu, Shiqi Yu, Wanli Yang, Weihuang Lin, Xiaowei Yang, Xiao Wang, Cheng Zhang, Liping Guo, Xingyong Chen

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SCIENTIFIC AND PRACTICAL APPROACHES TO THE FORMATION OF READINESS OF FUTURE SPECIALISTS IN THE SOCIONOMIC SPHERE FOR THE SOCIAL SUPPORT FOR PARENTS OF CHILDREN WITH SPECIAL NEEDS by Sapozhnykov Stanislav, Teplytska Alina

“…It has been emphasized that today in higher education there is an approach that orients future specialists to the transfer of this function to other social institutions. This situation does not contribute to the formation of the appropriate level of motivation and ability to energetically engage in their own professional activities, and the capacity to adequately self-assess professional actions in future specialists in the socionomic sphere. …”
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Comparative analysis of anthocyanin content in various tomato samples in connection with breeding by E. A. Dzhos, M. I. Mamedov, O. N. Pyshnaya, N. A. Golubkina, O. V. Verba, A. A. Matyukina

“…Vegetable products containing antioxidant substances belong to the functional products and conform to the concept of a healthy diet. …”
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Re-Infection Outcomes Following One- And Two-Stage Surgical Revision of Infected Knee Prosthesis: A Systematic Review and Meta-Analysis. by Setor K Kunutsor, Michael R Whitehouse, Erik Lenguerrand, Ashley W Blom, Andrew D Beswick, INFORM Team

“…Our second objective was to compare between the two revision strategies, clinical outcomes as measured by postoperative Knee Society Knee score, Knee Society Function score, Hospital for Special Surgery knee score, WOMAC score, and range of motion.…”
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SIMPLE: Simple Intensity Map Producer for Line Emission by Maja Lujan Niemeyer, José Luis Bernal, Eiichiro Komatsu

“…After applying a selection function to distinguish between detected and undetected galaxies, the code generates an intensity map, which can be modified with anisotropic smoothing, noise, a mask, and sky subtraction, and it calculates the power spectrum multipoles. …”
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Economics production buffalo breeding farms in the province of Nineveh (Badush area a case stady) by Salim AL- Nuaimy, Zwaid, F. Abd, Mahasen, M, Sultan

“…Buffalo breeding are one of  the important agricultural activities of economic yield farms  and breeding Buffalo in traditional farms mainly for milk in the area of ​​Badush (study area) where the buffalo products are of great interest to citizens and represent a special place in the economic structure The research aims to analyze the economics of  production and costs of these farms in the sample of the study (58) farm for the productive season 2013, which accounted about 50% of the research community in Nineveh province through the estimation of  production and costs of the application of  principles of selection in using of elements of production and to show the impact of these elements and contribute to help farmers in using their resources with a degree of efficiency and making productive decisions based on the economic derivatives of these functions to determine the optimal production and most of the profits. …”
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Motivation and stimulation of employment specialists in the sphere of information technologies by S. Bazhenov

“…In conducting this study the main sources of raw data served as the information contained in scientific, reference, periodical literature on the subject in question, including the sources of information and telecommunications network "Internet". …”
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Further enhancement of cold tolerance in rice seedlings by Piriformospora indica collaborating with plant growth-promoting bacteria: Evidence from the antioxidant defense, osmoregu... by Feng Shi, Siyu Zhu, Honghe Li, Bo Zhang, Jie Liu, Fuqiang Song

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Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

“…Ambient light interference stands as the primary source of noise encountered by the light detection and ranging (LiDAR) systems based on single-photon avalanche diode (SPAD), which seriously restricts the detection range and accuracy of sensors. …”
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Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization by Mohammadreza Shahriari

“…To achieve this, a bi-objective mathematical model is developed to support decision-makers in selecting the optimal schedule for project execution.Methodology: In this study, a bi-objective mathematical model is proposed to balance cost and time, incorporating a nonlinear cost function and the time value of money. …”
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The effectiveness of blended learning technologies in higher education: Assessment methodology by N. V. Bordovskaia, E. A. Koshkina, M. A. Tikhomirova, M. P. Iskhakova

“…Based on the obtained valid data and the results of the approbation, it is concluded that the authors’ methodology has functional certainty, providing controllability in the didactic and resource support for the effective use of different models of blended learning. …”
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Construction on labor education platform based on RuoYi-Cloud by Zhang Jiaming, Zhou Jie, Zhou Beiping

“…Adopting microservice architecture, it realizes user-friendly interface and highly scalable back-end functions, optimizes system response time and resource utilization to ensure efficient system operation, and provides a good foundation for future functionality expansion with system flexibility and scalability. …”
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Students learning about evolution through a comic book by Johanna Aringer, Lars Wallner, Ammie Berglund

“…Results To explore what function the material has for students’ meaning making we analyze what students describe to have learned working with the comic Cats on the Run, and how aspects of the comic book are reflected in the students’ self-reported learning. …”
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Quantifying Streambed Grain Size, Uncertainty, and Hydrobiogeochemical Parameters Using Machine Learning Model YOLO by Yunxiang Chen, Jie Bao, Rongyao Chen, Bing Li, Yuan Yang, Lupita Renteria, Dillman Delgado, Brieanne Forbes, Amy E. Goldman, Manasi Simhan, Morgan E. Barnes, Maggi Laan, Sophia McKever, Z. Jason Hou, Xingyuan Chen, Timothy Scheibe, James Stegen

“…Abstract Streambed grain sizes control river hydro‐biogeochemical (HBGC) processes and functions. However, measuring their quantities, distributions, and uncertainties is challenging due to the diversity and heterogeneity of natural streams. …”
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Research on Segmentation Experience of Music Signal Improved Based on Maximization of Negative Entropy by Qin Yao, Zhencong Li, Wanzhi Ma

“…Experiments have proved that the new objective function can significantly improve the separation performance of neural networks. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…These datasets serve two functions: improving illness prediction and examining large data reservoirs to identify previously unknown disease patterns. …”
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