Screening macrocyclic peptide libraries by yeast display allows control of selection process and affinity ranking by Sara Linciano, Ylenia Mazzocato, Zhanna Romanyuk, Filippo Vascon, Lluc Farrera-Soler, Edward Will, Yuyu Xing, Shiyu Chen, Yoichi Kumada, Marta Simeoni, Alessandro Scarso, Laura Cendron, Christian Heinis, Alessandro Angelini

“…The use of quantitative flow cytometry enables real-time monitoring of the screening of millions of individual macrocyclic peptides, leading to the identification of ligands with good binding properties to five different protein targets. X-ray analysis of a selected ligand in complex with its target reveals optimal shape complementarity and extensive surface interaction, explaining its exquisite affinity and selectivity. …”
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Exploring the determinants of AIGC usage intention based on the extended AIDUA model: a multi-group structural equation modeling analysis by Xueyan Bai, Lin Yang, Lin Yang

“…ObjectiveWith the rapid development and widespread adoption of generative artificial intelligence (GenAI) technologies, their unique characteristics—such as conversational capabilities, creative intelligence, and continuous evolution—have posed challenges for traditional technology acceptance models (TAMs) in adequately explaining user adoption intentions. …”
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Substantiation of the necessity to develop a competency model of training specialist in pharmacy on the basis of intellectual educational system by V. O. Demchenko, O. A. Ryzhov, N. A. Ivankova

“…The study was conducted using the methods of semantic evaluation of legal and scientific documents, comparison, systemic and structural logical analysis. …”
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Comparative analysis of machine learning models for wind speed forecasting: Support vector machines, fine tree, and linear regression approaches by Yousef Altork

“…Wind speed is an important parameter of wind energy conversion, and its forecast is significant for optimal power generation and maintaining the stability of the electricity supply. …”
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Genotype-environment interaction of genotypes of cocoa in Mexico by Carlos Hugo Avendaño-Arrazate, Misael Martínez-Bolaños, Ana Laura Reyes-Reyes, Marco Aurelio Aragón-Magadán, Delfino Reyes-López, Fernando López-Morales

“…By understanding how different environments impact agronomic traits, this research contributes to the sustainable intensification of cacao cultivation, helping to optimize yields while mitigating the risks associated with environmental variability. …”
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Development of a preclinical X-rays minibeam Monte Carlo treatment planning system by Stefano Pizzardi, Lisa Alborghetti, Federica Vurro, Maria Assunta Lacavalla, Macrina Milani Capialbi, Paolo Milani, Francesco Cavaliere, Claudio Fiorino, Antonello E. Spinelli

“…Multiple simulations were conducted to evaluate different combinations of attenuator materials (lead, tungsten) and spacer materials (PMMA, air), as well as various slit widths (0.5-1 mm). …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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%. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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