New Cation Sensors Based on Eugenol-Derived Azo Dyes by José R. A. Coelho, Ana Rita F. Pacheco, Diogo C. Domingues, Ana Rita O. Rodrigues, Akani A. Temitope, Paulo J. G. Coutinho, Maria José G. Fernandes, Elisabete M. S. Castanheira, M. Sameiro T. Gonçalves

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Enhanced selectivity of carbon quantum dots for metal ion detection through surface modification by heteroatom doping: A study on optical properties and theoretical approach by María Belén Cánchig, Floralba López, Zaillmar Morales-Navarro, Alexis Debut, Karla Vizuete, Thibault Terencio, Manuel Caetano, Juan Pablo Saucedo-Vázquez

“…The study also demonstrated that functionalization with sulfur could modulate emission frequencies, enhancing the detection capabilities for specific ions. …”
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Respiratory Rate Estimation from Thermal Video Data Using Spatio-Temporal Deep Learning by Mohsen Mozafari, Andrew J. Law, Rafik A. Goubran, James R. Green

“…Thermal videos provide a privacy-preserving yet information-rich data source for remote health monitoring, especially for respiration rate (RR) estimation. …”
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Do capture and survey methods influence whether marked animals are representative of unmarked animals? by John R. Fieberg, Kurt Jenkins, Scott McCorquodale, Clifford G. Rice, Gary C. White, Kevin White

“…The lone exception to this rule was for the cohort of radiocollared moose in Minnesota, which exhibited a slight decrease in detection probabilities over time. Differences in detection probabilities for marked and unmarked animals may not be a significant problem for sightability models, provided that the source of the variability can be captured by model covariates (e.g., heterogeneity is tied to an individual's propensity to be in heavy cover). …”
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Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept by Eli Garlick, Nourhan Hesham, MD. Zoheb Hassan, Imtiaz Ahmed, Anas Chaaban, MD. Jahangir Hossain

“…Due to the vast nature of interference signals in the frequency bands used by cognitive TWNs, it is non-trivial to acquire manually labeled data sets of all interference signals. Detecting the presence of an unknown and remote interference source in a frequency band from the transmitter end is also challenging, especially when the received interference power remains at or below the noise floor. …”
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Application of Cyberlindnera fabianii isolate as a potential starter culture in type IV sourdough to improve techno-functional capabilities of barley bread by Alireza Sadeghi, Fahimeh Hajinia, Hossein Purabdolah, Maryam Ebrahimi, Sara Shahryari, Maryam Pahlavani

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Digital Transformation of Employee Experience Management: Tools, Practices, and Trends by Oksana Kravchuk, Iryna Varis, Ivanna Liaсh

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Identification, Cloning, and Functional Characterization of Carotenoid Cleavage Dioxygenase (CCD) from <i>Olea europaea</i> and <i>Ipomoea nil</i> by Kaixuan Ke, Yufeng Zhang, Xinyi Wang, Zhaoyan Luo, Yangyang Chen, Xianying Fang, Linguo Zhao

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Genome-wide identification and functional characterization of GPCR family genes reveal their key roles in the vitellarium development and egg production in Schistosoma japonicum by Xiaoxu Wang, Chuantao Fang, Guofeng Cheng

“…Selected GPCRs were functionally characterized using whole-mount in situ hybridization, double fluorescence in situ hybridization, and RNA interference. …”
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Delineating flood susceptibility zones using novel ensemble models – An application of evidential belief function, relative frequency ratio, and Shannon entropy by Samuel Yaw Danso, Yi Ma, Isaac Yeboah Addo

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Increasing the wear resistance of plunger pairs of high-pressure fuel pumps using extreme pressure additives by D.D. Marchenko, K.S. Matvyeyeva, V.M. Kurepin

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Evaluating Cognitive Function and Brain Activity Patterns via Blood Oxygen Level-Dependent Transformer in N-Back Working Memory Tasks by Zhenming Zhang, Yaojing Chen, Aidong Men, Zhuqing Jiang

“…(1) Background: Working memory, which involves temporary storage, information processing, and regulating attention resources, is a fundamental cognitive process and constitutes a significant component of neuroscience research. …”
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The complexity of aquatic macrophytes and environmental variables as a filter of functional traits of aquatic invertebrates from a subtropical stream in southern Brazil by Bárbara Oleinski, Mikael L. Pereira Morales, Edélti Faria Albertoni

“… Aquatic macrophytes play a key role in structuring aquatic ecosystems due to their varying degrees of structural complexity and perform diverse functions for different organisms (e.g., refuge and food resources). …”
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Functional and Genomic Evidence of L-Arginine-Dependent Bacterial Nitric Oxide Synthase Activity in <i>Paenibacillus nitricinens</i> sp. nov. by Diego Saavedra-Tralma, Alexis Gaete, Carolina Merino-Guzmán, Maribel Parada-Ibáñez, Francisco Nájera-de Ferrari, Ignacio Jofré-Fernández

“…Extracellular and intracellular NO measurements under aerobic conditions showed a dose-dependent response, with detectable production at 0.1 µM L-arginine and saturation at 100 µM. …”
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Shifts in fungal community diversity and potential function under natural forest succession and planted forest restoration in the Kunyu Mountains, East China by Ping Zhu, Xinyu Hu, Qiang Zou, Xiaoyan Yang, Bohan Jiang, Jincheng Zuo, Xinfu Bai, Jianqiang Song, Nan Wu, Yuping Hou

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STRUCTURAL RELIABILITY ANALYSIS BASED ON AN IMPROVEMENT OF THE RESPONSE SURFACE METHOD by ZHANG XueGang

“…Then the sample points near the failure boundary from all sample points were selected after convergence, the limit state function was built by a quadratic polynomial response surface with mixed terms and square terms, and finally the structural reliability was calculated by the Monte Carlo method. …”
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<i>Spinacia oleracea</i> L. Baby Leaves as a Source of Bioactive Principles: The Chemical Profiling of Eco-Sustainable Extracts by Using LC-ESI/HRMS- and ¹H NMR-Based Me... by Antonietta Cerulli, Luciana Maria Polcaro, Milena Masullo, Sonia Piacente

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Serverless Computing: A Comparative Analysis of Cloud Run and Cloud Function Prices on Google Kubernetes Engine Cluster Node Management Google Cloud by Christian Bayu Anggoro Putra, Dimas Prasetyo Tegar Asmoro, Akmal Budi Yulianto

“…This model fundamentally changes the application development paradigm, shifting from static resource allocation to an event-driven model where resources are consumed only when needed (Sharma et al., 2021). …”
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Comprehensive genome-wide analysis of the HMGR gene family of Asparagus taliensis and functional validation of AtaHMGR10 under different abiotic stresses by Liangqin Zeng, Liangqin Zeng, Sylvia E. Brown, He Wu, Wenhua Dongchen, Yunbin Li, Chun Lin, Chun Lin, Zhengjie Liu, Zhengjie Liu, Zhengjie Liu, Zichao Mao, Zichao Mao, Zichao Mao

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Hyper CLS-Data-Based Robotic Interface and Its Application to Intelligent Peg-in-Hole Task Robot Incorporating a CNN Model for Defect Detection by Fusaomi Nagata, Ryoma Abe, Shingo Sakata, Keigo Watanabe, Maki K. Habib

“…In this paper, a hyper cutter location source (HCLS)-data-based robotic interface is proposed to cope with the issues. …”
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