LDA-SCGB: inferring lncRNA-disease associations based on condensed gradient boosting by Chengqiu Dai, Linna Wang, Yingwei Deng, Xuzhu Gao, Jingyu Zhang

“…Abstract Background Long non-coding RNAs (lncRNAs) play essential roles in various physiological and pathological processes. Inferring new lncRNA-disease associations (LDAs) not only promotes us to better understand these complex biological processes, but also provides new options for the diagnosis and prevention of diseases. …”
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Buried Interface Smoothing Boosts the Mechanical Durability and Efficiency of Flexible Perovskite Solar Cells by Erxin Zhao, Yongshuai Gong, Yixin Dong, Wanlei Dai, Chou Liu, Tinghuan Yang, Nan Wu, Ye Yang, Zheng Zhang, Chenqing Tian, Buyi Yan, Dongxue Liu, Lu Zhang, Tianqi Niu

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Energy and noise characteristics of a SEPIC buck-boost converter with unipolar and bipolar output by V. P. Babenko, V. K. Bityukov

“…The results of the investigation of a pulsed DC converter of input voltage to unipolar or bipolar output voltage using SEPIC buck-boost topology are presented. The circuit simulation enables to specify the switching process characteristics, to estimate the ripple level of the input current and its spectral characteristics, and to develop recommendations concerning the choice of parameters of converters elements and generation of control signals. …”
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The role of strategic alignment and resource availability in boosting the digital capabilities of Jordanian insurance companies by Azzam Abou-Moghli

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Retrieval practice, with or without mind mapping, boosts fact learning in primary school children. by Stuart J Ritchie, Sergio Della Sala, Robert D McIntosh

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Enhancement Ear-based Biometric System Using a Modified AdaBoost Method by Abdulkareem Merhej Radhi, Subhi Aswad Mohammed

“…The range of the identification accuracy for all the processed databases using the proposed scenario is between (%93.8- %97.8). …”
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Public Funding of Research into Ethnological Activities in Andalusia (Spain): Boosting the Academic Career of Researchers by Celeste Jiménez de Madariaga, Juan José García del Hoyo

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A Novel Quantum-Enhanced Algorithm for Dynamic Soil Microbiome Optimization to Boost Agriculture by Mukherjee Anshit

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Detection of Electrical Fires in Residential Buildings Using a Gradient Boosting Machine Algorithm by Sharaban Taha Ahmed, Fadhil Aula

“…The paper discusses a technique for detecting electrical fires in residential buildings using the Gradient Boosting Machine (GBM) algorithm. The features of the algorithm process data related to current, voltage, and total harmonic distortion (THD) from electrical systems, considering resistive loads, such as heating appliances, and inductive loads, like refrigerators and washing machines. …”
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Prediction of Sonic Log Values Using a Gradient Boosting Algorithm in the 'AB' Field by Rasif Nahari, Utama Widya, Ardhya Garini Sherly, Fitri Indriani Rista, Pratama Novian Putra Dhea

“…To address missing data, machine learning algorithms, like gradient boosting, provide an effective solution. Gradient boosting employs an ensemble of decision trees, iteratively correcting errors to model complex data patterns. …”
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Prediction of Imbalance Prices Through Gradient Boosting Algorithms: An Application to the Greek Balancing Market by Konstantinos Plakas, Nikos Andriopoulos, Dimitrios Papadaskalopoulos, Alexios Birbas, Efthymios Housos, Ioannis Moraitis

“…The findings suggest that this approach can significantly improve the decision-making process for market participants, helping mitigate the financial risks associated with imbalance prices.…”
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A GWO-Based Indirect IMC-PID Controller for DC-DC Boost Converter by Ashish Choubey, Sachin Kumar Jain, Prabin Kumar Padhy

“…A PID controller design using an internal model control (IMC) approach is a well-established method for controller tuning in a DC-DC boost converter. This study introduces an innovative implementation of a novel indirect Internal Model Control (IMC) strategy for PID controller design, tailored specifically for a DC-DC boost converter. …”
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Boosting Students Critical Thinking in High School: Project- Based Learning on Global Warming by Elsi Oktaviyanti, Dedeh Kurniasih, Dini Hadiarti, Zahratun Nufus

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Boosting electrochemical CO2 reduction to CO by regulating pressure in zero-gap electrolyzer by Muhammad Shakir Hussain, Sheraz Ahmed, Chirong Sun, Hyung-Suk Oh, Jaehoon Kim

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Autoencoder-CatBoost Model for Accurate Hyperspectral Quality Assessment of Yunling Snowflake Beef by Lutao Gao, Lilian Zhang, Jian Chen, Lin Peng, Lujiale Guo, Linnan Yang

“…A total of 250 beef samples, scanned in the 900-2500 nm wavelength range, were processed using seven data preprocessing techniques and two feature extraction methods. …”
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Machine learning-driven prediction of hospital admissions using gradient boosting and GPT-2 by Xingyu Zhang, Hairong Wang, Guan Yu, Wenbin Zhang

“…Structured data included demographics, visit characteristics, vital signs, and medical history, while unstructured data consisted of free-text chief complaints and injury descriptions. A Gradient Boosting Classifier (GBC) was applied to structured data, while a fine-tuned GPT-2 model processed the unstructured text. …”
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Alkali Metals Activated High Entropy Double Perovskites for Boosted Hydrogen Evolution Reaction by Ning Sun, Zhuangzhuang Lai, Wenbo Ding, Wenbo Li, Tianyi Wang, Zhichuan Zheng, Bowen Zhang, Xiangjiang Dong, Peng Wei, Peng Du, Zhiwei Hu, Chih‐Wen Pao, Wei‐Hsiang Huang, Haifeng Wang, Ming Lei, Kai Huang, Runze Yu

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Immune-Boosting and Antiviral Effects of Antioxidants in COVID-19 Pneumonia: A Therapeutic Perspective by Stefano Sanduzzi Zamparelli, Alessandro Sanduzzi Zamparelli, Marialuisa Bocchino

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Efficient and Stable Photoassisted Lithium-Ion Battery Enabled by Photocathode with Synergistically Boosted Carriers Dynamics by Zelin Ma, Shiyao Wang, Zhuangzhuang Ma, Juan Li, Luomeng Zhao, Zhihuan Li, Shiyuan Wang, Yazhou Shuang, Jiulong Wang, Fang Wang, Weiwei Xia, Jie Jian, Yibo He, Junjie Wang, Pengfei Guo, Hongqiang Wang

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A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation by Yinling Wang, Lei Yu, Mazhar Ali, Imran Ali Khan, Tahir Maqsood, Haining Gao, Qi Wang, Xiaolei Guo

“…Three advanced machine learning models, i.e., Gradient Boosting (GB), Extreme Gradient Boosting (XGB), and Histogram-based Gradient Boosting (HGB) were applied to analyze and predict T in system. …”
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