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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

The influence of hydroelectric power generation and water level variability on market clearing prices: A case study of Türkiye by Tamer Emre

“…To explore this, the study applies a comprehensive methodological framework combining multivariate regression, correlation analysis, impulse response functions (IRF), Granger causality tests, and machine learning models—specifically, Bidirectional LSTM and Stacked LSTM architectures.Findings reveal a weak correlation (R2 = 0.065) between hydroelectric generation and MCP, with no statistically significant causal relationship. …”
Get full text

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). …”
Get full text

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

“…The classification of White Blood Cells (WBCs) is crucial for diagnosing diseases, monitoring treatment effectiveness, and understanding how the immune system functions. In this paper, we propose a deep learning approach to classify WBCs using Super Resolution Generative Adversarial Network (SRGAN) and Visual Geometry Group 19 (VGG19). …”
Get full text

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

Get full text

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.…”
Get full text

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. …”
Get full text

Recovery of traffic information through graph signal processing by Rafael Alejandro Martínez Márquez, Giuseppe Patanè

Get full text

Evaluation for Sortie Generation Capacity of the Carrier Aircraft Based on the Variable Structure RBF Neural Network with the Fast Learning Rate by Tiantian Luan, Mingxiao Sun, Guoqing Xia, Daidai Chen

“…The simulations of approximating a typical nonlinear function, identifying UCI datasets, and evaluating sortie generation capacity of an carrier aircraft show the effectiveness of VS-RBF.…”
Get full text

Hierarchical quantitative prediction of photovoltaic power generation depreciation expense based on matrix task prioritization considering uncertainty risk by Yinming Liu, Wengang Wang, Xiangyue Meng, Yuchen Zhang, Zhuyu Chen

“…According to the calculated risk value, a double-layer photovoltaic power generation cost planning model is constructed, the upper and lower objective functions of the model are determined, and the constraint conditions are designed; Obtain a cost planning objective function solution base on a matrix task prioritization method, and generating a prioritization table; Prediction of photovoltaic power generation depreciation expense based on long-short memory neural network for each solution in the sorting table. …”
Get full text

High-Yield Generation of Glucose-Responsive Pseudoislets From Murine Insulinoma Cells for Studies and Longitudinal Monitoring of Graft Survival by Grisell C. Gonzalez, Chris M. Li, Ilaria Pasolini, Sophia I. Pete, Connor Verheyen, Sofia M. Vignolo, Teresa De Toni, Aaron A. Stock, Alice A. Tomei

“…Compared to primary pancreatic islets, insulinoma cell-derived 3D pseudoislets offer a more accessible, consistent, renewable, and widely applicable model system for optimization and mechanistic studies in type 1 diabetes (T1D). …”
Get full text

Weekly Intraperitoneal Injection of Tamoxifen in an Inducible In Vivo Model of Junctional Epidermolysis Bullosa Generates Early and Advanced Disease Phenotypes by Eleri Mai Jones, Priya Garcha, Monique Aumailley, Edel Anne O’Toole, Emanuel Rognoni, Matthew Caley

Get full text

DoubleNet: A Method for Generating Navigation Lines of Unstructured Soil Roads in a Vineyard Based on CNN and Transformer by Xuezhi Cui, Licheng Zhu, Bo Zhao, Ruixue Wang, Zhenhao Han, Kunlei Lu, Xuguang Feng, Jipeng Ni, Xiaoyi Cui

“…This research introduces DoubleNet, an innovative deep-learning model designed to generate navigation lines for such conditions. To improve the model’s ability to extract image features, DoubleNet incorporates several key innovations, such as a unique multi-head self-attention mechanism (Fused-MHSA), a modified activation function (SA-GELU), and a specialized operation block (DNBLK). …”
Get full text

Multiscale investigation of collagen structure in human skin and gel matrices using polarization resolved second harmonic generation microscopy by Mengyao Zhou, Madalena Pinto Gomes, Anouk Elgersma, H. Ibrahim Korkmaz, Bouke K. H. L. Boekema, Marie Louise Groot

“…Abnormal collagen organization, such as in fibrosis or scar tissue, compromises both skin functionality and aesthetics. In this study, we employed label-free polarization resolved second harmonic generation (PSHG) microscopy to investigate collagen structure in artificial collagen matrices with various Col I/III ratios at the fibril scale ( $$\sim$$ ∼ 1 to $$3\,\upmu \hbox {m}$$ 3 μ m ) and in ex vivo human healthy and scarred skin at the fiber scale ( $$\sim 10$$ ∼ 10 to $$20\,\upmu \hbox {m}$$ 20 μ m ). …”
Get full text

Criteria Analysis for the Selection of a Generative Artificial Intelligence Tool for Academic Research Based on an Improved Group DEMATEL Method by Constanta Zoie Radulescu, Marius Radulescu

“…Generative Artificial Intelligence (GenAI) tools are transforming academic research by significantly enhancing efficiency, accuracy, and productivity. …”
Get full text