Daily reference evapotranspiration prediction using empirical and data-driven approaches: A case study of Adana plain by Semin Topaloğlu Paksoy, Deniz Levent Koç

“…In addition, it plays a significant role in properly managing and allocating water resources in agriculture. The objective of this research was to examine the effectiveness of five different data-driven techniques, including artificial neural networks "multilayer perceptron" (ANN), gene expression programming (GEP), random forest (RF), support vector machine "radial basis function" (SVM), and multiple linear regression (MLR) to model the daily ET0. …”
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Comprehensive analysis of cinnamoyl-CoA reductase (CCR) gene family in wheat: implications for lignin biosynthesis and stress responses by Weimin Zhan, Lianhua Cui, Ningning Song, Xinye Liu, Guanghui Guo, Yanpei Zhang

“…Our findings establish a foundation for further elucidation of TaCCR functions and offer a significant genetic resource for future wheat improvement efforts.…”
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Domesticated rice alters the rhizosphere microbiome, reducing nitrogen fixation and increasing nitrous oxide emissions by Jingjing Chang, Ohana Y. A. Costa, Yu Sun, Jilin Wang, Lei Tian, Shaohua Shi, Enze Wang, Li Ji, Changji Wang, Yingnan Pang, Zongmu Yao, Libo Ye, Jianfeng Zhang, Hongping Chen, Yaohui Cai, Dazhou Chen, Zhiping Song, Jun Rong, Jos M. Raaijmakers, Chunjie Tian, Eiko E. Kuramae

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AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation by Shimpei Okamoto, Masanori Kataoka, Makoto Itano, Tsutomu Sawai

“…Results We discuss the imperative for including AI ethics in medical curricula and its utility as an educational tool, identify the lack of educational resources in medical ethics education, and advocate for future LLMs to mitigate this problem as a “second-best” tool. …”
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Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification by Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang

“…Additionally, to address suboptimal training issues, EBCNN employs a dynamic curriculum learning strategy underpinned by a confidence-aware loss function, Superloss, enabling progressive binarization and enhancing its classification effectiveness. …”
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Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform by Jingjing Zhao, Chang Zhu, Bo Leng, Jiantao Qi

“…For posture recognition, this study also utilizes the relatively mature MediaPipe algorithm, which ensures high accuracy of the entire intelligent referee system’s ruling and meets the needs of current students. …”
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Surface defect detection model of laser cutting polycrystalline cubic boron nitride tool based on asymptotic fusion strategy by Anfu Zhu, Jiaxiao Xie, Heng Guo, Jie Wang, Zilong Guo, Lei Xu, SiXin Zhu, Zhanping Yang, Bin Wang

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Cucurbit Crops Acquired Silencing: Virus-Induced Post-Transcriptional Silencing Is Transmitted Across the Graft Union by Mei Ai, Wen Han, Zheng Wang, Xinyang Xu, Yanjun He, Weisong Shou, Xuepeng Sun, Huasen Wang, Jia Shen

“…The approach established in this study can provide a valuable research tool for future transfer RNA function studies and rootstock breeding.…”
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The role of radio as the public sphere for public political education in the digital era: Challenges and pitfalls by Anang Sujoko, Dyan Rahmiati, Fathur Rahman

“…Radio’s ability to survive was strongly supported by its ability to utilize of income opportunities and elegantly avoid economic and political pitfalls by empowering the role of the public sphere through massive involvement of external sources. …”
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Decoding public sentiment topics in google map reviews on urban infrastructure development of belt and road initiative by Yue Xiong, Jiayong Liang, Chenghe Guan

“…Abstract Despite the broad scope of Belt and Road Initiative (BRI) projects and deep intertwine with urban development, there is a lack of quantitative research utilizing crowd-sourced data to understand public perceptions, particularly from both spatial and temporal perspectives. …”
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A Data-Driven Front Tracking Algorithm for Autonomous Undersea Vehicles by Jieyang LU, Yongpeng WEN, Qian GUO, Xinke ZHU, Junsheng JIAO

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Assessment of EMF Exposure Induced by Wireless Cellular Phones in Various Usage Scenarios in France by Jiang Liu, Yarui Zhang, Wassim Ben Chikha, Shanshan Wang, Theodoros Samaras, Ourouk Jawad, Lamine Ourak, Emmanuelle Conil, Joe Wiart

“…According to the type of sources, RF-EMF exposure can be categorized into uplink (device-to-base station) and downlink (base station-to-device) transmissions. …”
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An ensemble strategy for piRNA identification through hybrid moment-based feature modeling by Mansoor Ahmed Rasheed, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan

“…The proposed approaches show great potential for enhancing the accuracy of piRNA prediction, significantly aiding future research and the scientific community in the in-silico identification of piRNA. The source codes and datasets utilized in this study are accessible at https://github.com/MansoorAhmadRasheed/piRNA-codes-and-result .…”
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Integrative analysis of efferocytosis- and invasion-related genes as potential biomarkers and therapeutic targets in breast cancer by Jing Yang, Rong Zhang, Lamei Sun, Cong Wang, Ming Feng, Bin Su, Lixin Jiang

“…Abstract Breast cancer remains a primary source of cancer-related mortality among females worldwide. …”
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Analysis the Impact of Covid-19 on Green Accounting and Its Implications on Profitability by Reschiwati Reschiwati, Fran Sayekti, Tasia Veronica

“…Methods: This study utilizes panel data regression analysis conducted with EViews 13 software. …”
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Effects of Valproic Acid Embryonic Exposure on Zebrafish: A Systematic Review and Meta-Analysis by Bernardo Flores-Prieto, Jorge Manzo-Denes, María Elena Hernández-Aguilar, Genaro Alfonso Coria-Avila, Deissy Herrera-Covarrubias, Gonzalo Emiliano Aranda-Abreu, Fausto Rojas-Durán, César Antonio Pérez-Estudillo, Jorge Suárez-Medellín, María Rebeca Toledo-Cárdenas

“…At the genetic level, VPA exposure is associated with the differential expression of genes involved in neurodevelopment and neuronal function. The synthesized data from these studies underscore the utility of zebrafish as a model organism for investigating the effects of teratogen exposure on neurodevelopment.…”
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Empirical Analysis of Productivity among Broiler Farmers by Godfrey Onuwa

“…Profitability and productivity and analysis are important considerations in measuring efficiency or performance of a farm business; hence, improved output and income are not only a function of increase in the scale of production, but also how efficiently the resources are being utilized. …”
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Site-specific prediction of O-GlcNAc modification in proteins using evolutionary scale model. by Ayesha Khalid, Afshan Kaleem, Wajahat Qazi, Roheena Abdullah, Mehwish Iqtedar, Shagufta Naz

“…Furthermore, future studies should focus on more diverse data types, longer protein sequence lengths, and higher computational resources to evaluate various parameters. Accurate prediction of O-GlcNAc sites might enhance the investigation of the site-specific functions of proteins in physiology and diseases.…”
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NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

“…The use of submillimeter resolution functional magnetic resonance imaging (fMRI) is increasing in popularity due to the prospect of studying human brain activation non-invasively at the scale of cortical layers and columns. …”
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Lessons learnt in the response to COVID-19 in Mozambique: enabling readiness for the next pandemic by Mariana E. Posse, Grace Njeri Muriithi, Daniel Malik Achala, Elizabeth Naa Adukwei Adote, Chinyere Ojiugo Mbachu, Senait Alemayehu Beshah, Senait Alemayehu Beshah, Chijioke Osinachi Nwosu, John Ele-Ojo Ataguba, John Ele-Ojo Ataguba, John Ele-Ojo Ataguba, John Ele-Ojo Ataguba, John Ele-Ojo Ataguba

“…A validation meeting was held, in which research participants were asked to check the accuracy of the results and interpretations.ResultsKey drivers of the COVID-19 response were strong leadership; a clear plan and strategies; a functional coordination mechanism; the use of evidence to make decisions; a careful consideration of priority groups; investments in the supply chain and surveillance systems; the utilization of pre-existing vaccination structures; and partnership between the government and several stakeholders. …”
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