Genomic evidence on the distribution and ecological function of Pseudomonas in hadal zone by Yongxin Lv, Lizhi Zhang, Xiangyu Wang, Yu Zhang

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Cloning and functional analysis of ZmMADS42 gene in maize by Yang Zhao, Jianyu Lu, Bo Hu, Peng Jiao, Bai Gao, Zhenzhong Jiang, Siyan Liu, Shuyan Guan, Yiyong Ma

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Predicting electricity supply and demand curves with functional data techniques by Zehang Li, Andrés M. Alonso, Lorenzo Pascual

“…Additionally, we do not assume smooth curves, leading to more realistic predictions. Finally, predictions are adjusted with the closest training set curve. …”
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TAAR8 in the Brain: Implications for Dopaminergic Function, Neurogenesis, and Behavior by Taisiia S. Shemiakova, Alisa A. Markina, Evgeniya V. Efimova, Ramilya Z. Murtazina, Anna B. Volnova, Aleksandr A. Veshchitskii, Elena I. Leonova, Raul R. Gainetdinov

“…TAAR8 is the least studied TAAR family member, and currently, there is no data on its function in the mammalian central nervous system. <b>Methods:</b> We generated triple knockout (tTAAR8-KO) mice lacking all murine <i>Taar8</i> isoforms (<i>Taar8a</i>, <i>Taar8b</i>, and <i>Taar8c</i>) using CRISPR-Cas9 technology. …”
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Functional Characterization of Pomegranate CAMTA3 in Cold Stress Responses by Shuangshuang Zhao, Rui Lu, Lijuan Feng, Mengyu Zheng, Han Zhang, Yanlei Yin, Ling Zheng

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Semi-supervised emotion-driven music generation model based on category-dispersed Gaussian Mixture Variational Autoencoders. by Zihao Ning, Xiao Han, Jie Pan

“…Additionally, the model successfully disentangles and separates various musical features, facilitating more accurate emotion-driven music generation and emotion transitions through feature manipulation.…”
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Monitoring fibrous scaffold guidance of three-dimensional collagen organisation using minimally-invasive second harmonic generation. by Robin M Delaine-Smith, Nicola H Green, Stephen J Matcher, Sheila MacNeil, Gwendolen C Reilly

“…Three-dimensional second harmonic generation images showed that deposited collagen was more uniformly distributed in random constructs but aligned constructs were more organised and had higher intensities. …”
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Synergizing transformer-based models and financial sentiment analysis: A framework for generative AI in economic decision-making by Nouri Hicham, Nassera Habbat

“…These datasets, primarily sourced from social media, reflect diverse investor perspectives. Generative AI models, like GPT-3.5 and GPT-4, are used to create more data, and the meaning of words is enhanced using techniques like BERT and Word2Vec. …”
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Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies by Julieth K Riveros, Paola A Saavedra, Héctor J Hortúa, Jorge Enrique García-Farieta, Ivan Olier

“…Next-generation galaxy surveys promise unprecedented precision in testing gravity at cosmological scales. …”
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The influence of hydroelectric power generation and water level variability on market clearing prices: A case study of Türkiye by Tamer Emre

“…The escalating effects of climate change on hydrological patterns and the increasing reliance on renewable energy necessitate more precise electricity price forecasting. This study investigates how hydroelectric power generation influences the Market Clearing Price (MCP) in Türkiye’s electricity market, with particular attention to seasonal variability and market structure.The core research question addresses whether fluctuations in water levels and hydroelectric output exert a statistically and economically significant impact on MCP formation. …”
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Green Power Generation by Microbial Fuel Cells Using Pharmaceutical Wastewater as Substrate and Electroactive Biofilms (Bacteria/Biocarbon) by Ivonne L. Alonso-Lemus, Carlos Cobos-Reyes, Mayra Figueroa-Torres, Beatriz Escobar-Morales, K. Kunhiraman Aruna, Prabhu Akash, Fabian Fernández-Luqueño, Javier Rodríguez-Varela

“…In this work, electroactive biofilms of Bacillus subtilis (B. subtilis) or Escherichia coli (E. coli) were supported on functionalized biocarbon (AB7-F), which was synthesized from waste leather and was used as catalysts to develop bioanodes for microbial fuel cells (MFCs). …”
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A deep learning approach for white blood cells image generation and classification using SRGAN and VGG19 by Jannatul Ferdousi, Soyabul Islam Lincoln, Md. Khorshed Alom, Md. Foysal

“…Firstly, microscopic images of WBCs are generated using the SRGAN to obtain more precise and high-resolution images, which are then classified with a pretrained VGG19 classifier. …”
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Current progress and remaining challenges of peptide–drug conjugates (PDCs): next generation of antibody-drug conjugates (ADCs)? by Dongyuan Wang, Feng Yin, Zigang Li, Yu Zhang, Chen Shi

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Efficient Generation of Induced Pluripotent Stem Cell-Derived Definitive Endoderm Cells with Growth Factors and Small Molecules by Faizal Z. Asumda, Shadia Alzoubi, Kiyasha Padarath, Nina John, Kimya Jones, Ravindra Kolhe, Ashis Kumar Mondal, Tae Jin Lee, Wenbo Zhi, Robert C. Huebert, Nathan P. Staff, Lindsey A. Kirkeby

“…However, for hepatic specification, the GF protocol is more effective.…”
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MagicCraft: Natural Language-Driven Generation of Dynamic and Interactive 3D Objects for Commercial Metaverse Platforms by Ryutaro Kurai, Takefumi Hiraki, Yuichi Hiroi, Yutaro Hirao, Monica Perusquia-Hernandez, Hideaki Uchiyama, Kiyoshi Kiyokawa

“…To address this challenge, we present MagicCraft, a system that generates functional 3D objects from natural language prompts for metaverse platforms. …”
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The Role of Next-Generation Sequencing (NGS) in the Relationship between the Intestinal Microbiome and Periprosthetic Joint Infections: A Perspective by Salvatore Gioitta Iachino, Federica Scaggiante, Claudia Mazzarisi, Christian Schaller

“…In addition, the gut microbiome may harbor antibiotic-resistance genes; during antibiotic treatment for other infections or prophylaxis, these genes may be transferred to pathogenic bacteria, making the treatment of PJI more difficult. In this complex landscape, next-generation sequencing (NGS) technology can play a key role; indeed, it has revolutionized the study of the microbiome, allowing for detailed and comprehensive analysis of microbial communities. …”
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A Model-Driven Approach Employing DSL and Generation Templates to Accelerate the Development of Conversational Agents for Smart Tourism by Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek, Abdeslam Jakimi, Rachid Saadane

“…Conversational agents are intelligent, ubiquitous software applications widely used across various sectors, such as commerce, tourism, and more. Their key benefits include automating tasks, improving customer service, and ensuring service availability. …”
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Binary program taint analysis optimization method based on function summary by Pan YANG, Fei KANG, Hui SHU, Yuyao HUANG, Xiaoshao LYU

“…Taint analysis is a popular software analysis method, which has been widely used in the field of information security.Most of the existing binary program dynamic taint analysis frameworks use instruction-level instrumentation analysis methods, which usually generate huge performance overhead and reduce the program execution efficiency by several times or even dozens of times.This limits taint analysis technology’s wide usage in complex malicious samples and commercial software analysis.An optimization method of taint analysis based on function summary was proposed, to improve the efficiency of taint analysis, reduce the performance loss caused by instruction-level instrumentation analysis, and make taint analysis to be more widely used in software analysis.The taint analysis method based on function summary used function taint propagation rules instead of instruction taint propagation rules to reduce the number of data stream propagation analysis and effectively improve the efficiency of taint analysis.For function summary, the definition of function summary was proposed.And the summary generation algorithms of different function structures were studied.Inside the function, a path-sensitive analysis method was designed for acyclic structures.For cyclic structures, a finite iteration method was designed.Moreover, the two analysis methods were combined to solve the function summary generation of mixed structure functions.Based on this research, a general taint analysis framework called FSTaint was designed and implemented, consisting of a function summary generation module, a data flow recording module, and a taint analysis module.The efficiency of FSTaint was evaluated in the analysis of real APT malicious samples, where the taint analysis efficiency of FSTaint was found to be 7.75 times that of libdft, and the analysis efficiency was higher.In terms of accuracy, FSTaint has more accurate and complete propagation rules than libdft.…”
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Circular RNAs: Biogenesis, Function, and a Role as Possible Cancer Biomarkers by Luka Bolha, Metka Ravnik-Glavač, Damjan Glavač

“…Generally, circRNAs function as microRNA (miRNA) sponges and have a regulatory role in transcription and translation. …”
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Recent advances in the functionalization of cellulose substrates for SERS sensors with improved performance by Barbara Sartori, Benedetta Marmiroli

“…This is obtained through the functionalization of the surface with metal nanoparticles, that generate a strong localized surface plasmon resonance when irradiated at a suitable wavelength, greatly increasing the sensitivity of the devices. …”
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