Secretory Proteins Are Involved in the Parasitism of Melon by <i>Phelipanche aegyptiaca</i> During the Attachment Stage by Lifeng Xiao, Qiuyue Zhao, Xiaolei Cao, Zhaoqun Yao, Sifeng Zhao

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A system for generating chatbots to support learning in the field of exact sciences using generative artificial intelligence models by Oleksandr Prokhorov, Dmytro Shymko, Olena Kuzminska, Andrey Chukhray, Oleksii Shatalov, Oleksandr Kholodniak

“…The objectives include: analyzing the challenges and peculiarities of creating chatbots and preparing high-quality datasets; developing the structure and describing the functionality of the chatbot generation system; providing examples of creating various types of chatbots; conducting experiments to determine the effectiveness and cost of chatbot generation. …”
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Exploring the Therapeutic Potential, Ethnomedicinal Values, and Phytochemistry of <i>Helianthus tuberosus</i> L.: A Review by Ruvimbo Faith Tapera, Xavier Siwe-Noundou, Leshweni Jeremia Shai, Shoeshoe Mokhele

“…The Jerusalem artichoke has been utilized for various applications, including its use as a functional food source, a reservoir of bioactive compounds, and a raw material to produce biofuels. …”
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Exploring the ϕ-α interaction via femtoscopic study by Faisal Etminan

“…The numerical results show that the correlation functions at small source size (high density nuclear medium) depend on the employed potential model. …”
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Spacecraft Intelligent Fault Diagnosis under Variable Working Conditions via Wasserstein Distance-Based Deep Adversarial Transfer Learning by Gang Xiang, Kun Tian

“…Moreover, an improved one-dimensional convolutional neural network- (CNN-) based feature extractor which utilizes exponential linear units (ELU) as activation functions and wide kernels is designed to automatically extract the latent features of raw time-series input data. …”
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CHINESE YUAN EXCHANGE RATE AGAINST THE INDONESIAN RUPIAH PREDICTION USING SUPPORT VECTOR REGRESSION by Steven Soewignjo, Ni Wayan Widya Septia Sari, Andini Putri Mediani, M. Aqil Zaidan Kamil, Dita Amelia, Nur Chamidah

“…This study aims to forecast the exchange rate between the Chinese Yuan (CNY) and the Indonesian Rupiah (IDR) using Support Vector Regression (SVR), a machine-learning technique that can handle nonlinear and complex data. The authors utilize the monthly selling exchange rate of CNY against IDR from January 2012 to October 2023 sourced from the “investing” platform. …”
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Research on Pedestrians’ Visual Perception Characteristics Based on USGGS: A Case Study of the Six Inner-City Districts of Tianjin by Hanwen YANG, Shang’en TSOU, Yike HU

“…The core objective of the research is to propose strategies to optimize the greening structure of urban streets by analyzing the correlation between USGGS and visual perception of pedestrians, so as to enhance the quality of the visual environment of street pedestrians, improve the urban human settlement environment and promote the organic integration of the urban ecological and humanistic environments, thus providing a new way of thinking for urban planning and construction, and promoting the high-quality and sustainable development of urban street space.MethodsThe research selects the six inner-city districts of Tianjin City as the research area, utilizes Baidu street view image (SVI) as data source, and collect SVIs and their coordinates in the six districts in 2019 by calling Baidu API, with a total of 17,326 points selected and 13,281 valid samples obtained after screening. …”
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Growing large single crystals of two- or three-dimensional covalent organic polymers through unconventional Te-O-P linkages by Miaomiao Xue, Lei Zhang, Xiao-Xin Li, Zihao Chen, Fangyuan Kang, Xiang Wang, Qiang Dong, Xin Wang, Chun-Sing Lee, Ya-Qian Lan, Qichun Zhang

“…Here, utilizing the strategy that a heavy element (e.g., tellurium) can form dynamic linkages with a self-correction function, we develop a fast and universal method for growing large-sized single crystals (up to 500 µm) for 2D/3D COPs, especially for 2D COPs. …”
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Surgical implants in animal models for male and female infertility: A translational approach by S. Bharath, A.S. Vickram, B. Bhavani Sowndharya, C. Prasanth, D. Jenila Rani, G. Gulothungan, Hitesh Chopra, Tabarak Malik

“…Technological advancements, including microsurgical and robotic assistance, have significantly improved the accuracy and success rates of these interventions. Preclinical studies have emphasized strict adherence to ethical standards and have utilized histopathological and genetic analyses to guide the refinement and optimization of these implants for clinical use. …”
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Impact of technology- and parent-based psychosocial interventions on family dynamics factors in children with cancer: A systematic review. by Yilin Zhang, Zitong Zhang, Yunyun Peng, Wanting Zhang, Guiyuan Ma, Sulan Lin, Carmen W H Chan, Ankie Tan Cheung, Jianhui Xie, Can Gu

“…<h4>Methods</h4>Data were sourced from ten databases (CNKI, Wanfang, VIP, Sinomed, the Cochrane Library, Embase, PubMed, Web of Science, Scopus, and CINAHL) up to August 2024. …”
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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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Hand–Eye Separation-Based First-Frame Positioning and Follower Tracking Method for Perforating Robotic Arm by Handuo Zhang, Jun Guo, Chunyan Xu, Bin Zhang

“…Additionally, the GIoU loss function is introduced to replace the traditional IoU, further optimizing bounding box regression through the calculation of the minimum enclosing box. …”
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Radar Echo Extrapolation Based on Translator Coding and Decoding Conditional Generation Adversarial Network by Xingang Mou, Yuan He, Wenfeng Li, Xiao Zhou

“…Lastly, a composite multi-loss function is proposed to enhance the network’s capability to model intricate spatiotemporal evolving radar echo data, facilitating a more comprehensive assessment of the quality of the generated images, which in turn fortifies the network’s robustness. …”
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Assessing dynamic brain activity during verbal associative learning using MEG/fMRI co-processing by Sangeeta Nair, Jerzy P. Szaflarski, Yingying Wang, Diana Pizarro, Jeffrey F. Killen, Jane B. Allendorfer

“…Background: The abilities of individual neuroimaging methods to resolve spatial and temporal contributions of brain regions during cognitive processes are limited. Co-processing of functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) may overcome some of the limitations by utilizing Multiple Sparse Priors (MSP) in a Bayesian framework that takes advantage of the temporal resolution of MEG and spatial resolution of fMRI. …”
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Causal relationship between breast cancer and acute myeloid leukemia based on two-sample bidirectional Mendelian randomization and transcriptome overlap analysis by Xin’an Pan, Cuihan Huang, Xinyi Bai, Fei Li

“…Additionally, we applied the Bayesian Weighted Mendelian Randomization (BWMR) approach to validate the results of the MR analysis. Subsequently, we utilized RNA-seq data from various sources to explore the potential molecular signaling pathways between breast cancer and AML. …”
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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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Large language models open new way of AI-assisted molecule design for chemists by Shoichi Ishida, Tomohiro Sato, Teruki Honma, Kei Terayama

“…Scientific contribution ChatChemTS is an open-source application that assists users in utilizing an AI-based molecule generator, ChemTSv2, solely through chat interactions. …”
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An improved polar lights optimization algorithm for global optimization and engineering applications by Tianping Huang, Faguo Huang, Zhaohui Qin, Jiafang Pan

“…In the IPLO, a pseudo-random lens SPM chaos initialization (PRLS-CI) strategy is proposed for population initialization, aiming to enhance the quality and diversity of the initial population. To strike a successful balance between global exploration and local search, a reinforcement learning approach is suggested that combines adaptive dynamics with a reward loss function centered on exploration. …”
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By-Products Valorization: Peptide Fractions from Milk Permeate Exert Antioxidant Activity in Cellular and In Vivo Models by Valeria Scalcon, Federico Fiorese, Marica Albanesi, Alessandra Folda, Gianfranco Betti, Marco Bellamio, Emiliano Feller, Claudia Lodovichi, Giorgio Arrigoni, Oriano Marin, Maria Pia Rigobello

“…Altogether, the results unveil novel recovery strategies for food by-products as sources of antioxidant bioactive peptides that might be utilized for the development of functional foods.…”
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Full-length transcriptome provides insights into the molecular regulation of seed spike number in Agropyron mongolicum by Meiying Guo, Yaqin Wei, Xiqiang Liu, Xintian Huang, Yaling Liu, Yan Zhao

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