Designing wind turbines for profitability in the day-ahead market by M. K. Mehta, M. Zaaijer, D. von Terzi

“…A simplified market model that can generate hourly day-ahead market prices is developed and coupled with a wind-farm-level multidisciplinary design analysis and optimization (MDAO) framework to evaluate key economic indicators of the wind farm. …”
Get full text

16S rRNA metabarcoding applied to the microbiome of insect products (novel food): a comparative analysis of three reference databases by Gabriele Spatola, Alice Giusti, Laura Gasperetti, Roberta Nuvoloni, Alessandra Dalmasso, Francesco Chiesa, Andrea Armani

“… The 16S rRNA metabarcoding, based on Next-Generation Sequencing (NGS), is used to assess microbial biodiversity in various matrices, including food. …”
Get full text

Effect of fungal microorganisms on promoting the growth of pepper (Capsicum annuum L.) seedlings under controlled conditions by María Valeria Fernández Contreras, Verónica Rodriguez, Luberto Argenis Sánchez, Rossana Teresa Timaure, Alexis Valerio Valery Ramirez

“…The results show that the HC2 and LBH9 strains have the greatest potential to increase the variables evaluated under the study conditions. Just as there are strains that increase the growth of plants, there are also those that inhibit it, which makes it necessary to evaluate them in different crops to generate a proper management of them, optimizing the use of resources and, in turn, producing crops with better development of aerial parts and roots and, consequently, higher productivity. …”
Get full text

Geometrical constraints dictate assembly and phenotype of human iPSC-derived motoneuronal spheroids by Eleonora Mello, Stefano Sorrentino, Alessio Bucciarelli, Ermanno Cordelli, Elisa De Luca, Haakon Nygaard, Stefan Wendt, Alberto Rainer, Giuseppe Gigli, Lorenzo Moroni, Alessandro Polini, Pamela Mozetic

“…Methods We developed a customizable mold device using Digital Light Processing (DLP) 3D printing to fabricate agarose microwell arrays with distinct aspect ratios for culturing hiPSC-derived MNP spheroids with high reproducibility. We generated nine different pyramidal microwell array geometries for culturing size-controlled spheroids in the 40–140 μm diameter range. …”
Get full text

Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis by Pegah Salehi, Sajad Amouei Sheshkal, Vajira Thambawita, Sushant Gautam, Saeed S. Sabet, Dag Johansen, Michael A. Riegler, Pål Halvorsen

“…Our evaluation of two open-source real-time models across three different datasets shows that Whisper not only accelerates processing but also improves specific aspects of rendering quality, resulting in more realistic and responsive talking-head interactions. …”
Get full text

Small spheroids for head and neck cartilage tissue engineering by Sven Reutter, Johann Kern, Yvonne Jakob, Nicole Rotter, David Gvaramia

“…We used chondrocytes (CCs) and chondroprogenitors (CPCs) isolated from auricular and nasoseptal cartilage to prepare spheroids using ultra-low attachment (ULA) plates or micromass cultures. Different cell densities were tested to estimate the minimal cell number required for optimal spheroid formation. …”
Get full text

A robust in-vitro and ex-vitro Agrobacterium rhizogenes-mediated hairy root transformation system in mungbean for efficient visual screening of transformants using the RUBY reporte... by Sanjeev Kumar, Sakshi Prakash, Priti Kumari, Neeti Sanan-Mishra

“…A total of 60 composite plants were generated and evaluated through PCR, resulting in a transformation efficiency of 6.13%. …”
Get full text

Clustering and Interpretability of Residential Electricity Demand Profiles by Sarra Kallel, Manar Amayri, Nizar Bouguila

“…The clustering performance is evaluated using five different clustering validation indices (CVIs), assessing intra-cluster cohesion and inter-cluster separation. …”
Get full text

Effect of random terms on the shape of dendrites analyzed by the phase-field model. by Shinya Fujiwara, Kiyoshiro Okada, Katsuhiro Endo, Kenta Hirayama, Mayu Muramatsu

“…The succinonitril is used for comparing the simulation and experimental results for dendrites to design the optimal random number model. On the basis of the introduced terms, we clarify that each term requires a different order of the variance. …”
Get full text

Reform and innovation of physical education teaching methods in universities based on fuzzy decision support systems by Zhaojin Zhong, Wenzhi Guo, Regina Nacional

“…FDSS considers factors like fitness level, recovery rate, and injury history to provide personalized suggestions. The fuzzy generates a series of membership functions based on the different performance levels of the students. …”
Get full text

A Multi‐Scale Time Adaptive Fusion Network for Transformer Fault Diagnosis by XuMing Liu, XiaoKun He, YongLin Li

“…The adaptive feature reconstruction (AFR) module dynamically adjusts the feature fusion ratio, optimizing information integration. Finally, the multi‐scale temporal fusion (MSTF) module balances the fusion of multi‐scale temporal features and global dependencies, adapting to different tasks and data distributions. …”
Get full text

Comparison of discrete transforms for deep‐neural‐networks‐based speech enhancement by Wissam A. Jassim, Naomi Harte

“…Rather than using the traditional discrete Fourier transform (DFT), this paper considers other well‐known transforms to generate the speech spectra for deep‐learning‐based speech enhancement. …”
Get full text

Assessing the Accuracy and Reliability of Large Language Models in Psychiatry Using Standardized Multiple-Choice Questions: Cross-Sectional Study by Kaitlin Hanss, Karthik V Sarma, Anne L Glowinski, Andrew Krystal, Ramotse Saunders, Andrew Halls, Sasha Gorrell, Erin Reilly

“…MethodsA cross-sectional study was conducted where 3 commonly available, commercial LLMs (GPT-3.5, GPT-4, and GPT-4o) were tested for their ability to provide answers to single-answer MCQs (N=150) extracted from the Psychiatry Test Preparation and Review Manual. Each model generated answers to every MCQ 10 times. We evaluated the accuracy and reliability of the answers and sought predictors of answer accuracy. …”
Get full text

Convolutional Variational Autoencoder for Anomaly Detection in On-Load Tap Changers by Fataneh Dabaghi-Zarandi, Hassan Ezzaidi, Michel Gauvin, Patrick Picher, Issouf Fofana, Vahid Behjat

“…Several thresholds based on reconstruction errors are evaluated to detect anomalies, achieving optimal thresholds for each family. …”
Get full text

Additive Manufacturing and Precipitation Hardening of Low-Alloyed Copper Alloys Containing Chromium and Hafnium by Julia Dölling, Samira Gruber, Felix Kovermann, Lukas Stepien, Elmar Beeh, Elena Lopez, Christoph Leyens, Hans-Günther Wobker, Andreas Zilly

“…The production process, which starts with raw materials, involves powder production by gas atomization and leads to additive manufacturing by laser powder bed fusion with different parameter sets. The aim is to utilize precipitation reactions afterwards in CuHf0.7Cr0.35 during temperature exposure for further property optimization. …”
Get full text

Predicting weather-related power outages in large scale distribution grids with deep learning ensembles by L. Prieto-Godino, C. Peláez-Rodríguez, J. Pérez-Aracil, J. Pastor-Soriano, S. Salcedo-Sanz

“…This paper focuses on predicting daily reported incidences in electrical grids within specific regions, leveraging weather conditions as specific predictive variables. An optimization-based feature selection approach has been considered for selecting the optimal Reanalysis node locations used as predictors. …”
Get full text

A Hybrid CNN Framework DLI-Net for Acne Detection with XAI by Shaila Sharmin, Fahmid Al Farid, Md. Jihad, Shakila Rahman, Jia Uddin, Rayhan Kabir Rafi, Radia Hossan, Hezerul Abdul Karim

“…The DeepLabV3 model isolates acne lesions and generates accurate segmentation masks, while InceptionV3 efficiently classifies the different types of acne, improving the overall diagnostic accuracy. …”
Get full text

Graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion by Xu Li, Xinlong Wang, Chunlong Yao, Yang Li

“…By employing multi-prompt fusion, the model fully leverages the complementary strengths of multiple prompts, avoiding the incompleteness and instability associated with using a single prompt. In addition, to optimize model performance, this paper designs aspect term and opinion term recognition as index generation tasks. …”
Get full text

Development of an Intelligent System for Processing Semistructured Data: Industry Structuring and Advanced Analysis of Information Extracted from Comments to Video Clips in Social... by A. A. Poguda, H. Tape

“…The aim of this research is to develop an intelligent system for processing semistructured data from comments on social media videos using structuring algorithms targeting different industries. The research aims to create an efficient method to analyze tone, clustering and extract key themes from comments in order to evaluate the impact of video content on the audience. …”
Get full text

Revitalizing the Epigenome of Adult Jaw Periosteal Cells: Enhancing Diversity in iPSC-Derived Mesenchymal Stem Cells (iMSCs) by Felix Umrath, Valerie Wendt, Gilles Gasparoni, Yasser Narknava, Jörn Walter, Bernd Lethaus, Josefin Weber, Victor Carriel, Meltem Avci-Adali, Dorothea Alexander

“…To assess the safety of the generated cells, we evaluated their ability to form teratomas through subcutaneous injection into immunodeficient mice. …”
Get full text