Green Chemistry Method for Analyzing Bisphenol A in Milk by Angela M. Encerrado Manriquez, Wen-Yee Lee

“…A simple, fast, green, and sensitive method for determining Bisphenol A (BPA) levels in commercial milk was developed using a solventless sample preparation technique known as stir bar sorptive extraction, coupled with thermal desorption–gas chromatography/mass spectrometry. BPA was selected due to its ubiquitous presence in the environment and its classification as an endocrine-disrupting chemical of concern (i.e., its ability to mimic hormone functions). …”
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A Systematic Search for Candidate Supermassive Black Hole Binaries Using Periodic Mid-infrared Light Curves of Active Galactic Nuclei by Di Luo, Ning Jiang, Xin Liu

“…Notably, we find no overlap between our sample and optical periodic sources, which can be explained by a distinct preference for certain periods due to selection bias. …”
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Biological properties of cord blood hematopoietic stem cells by S. A. Rumiantsev, E. Yu. Osipova, S. E. Ipatov, T. V. Shamanskaya, O. A. Mayorova, A. G. Rumyantsev

“…Phased developments of the technology of stem cells detection and selection, their proliferation, differentiation and function assessment using cultivation in vitro and in vivo in animal model was described. …”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…The B9D2 gene, which is essential for ciliary function, has been rarely explored in CRC. This study is the first to investigate the diagnostic potential of B9D2 in CRC, using bioinformatics and machine learning to uncover its novel role in early detection, with implications for clinical translation. …”
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Thermal Characteristics Testing and Analysis of Dry Gear Hobbing Machine on Multivariate Information Fusion by Peng Shengdi, Yang Xiao, Li Benjie, He Lang, Zhang Zhili

“…Through the selection of hardware for the lower computer, the development of software functions for the upper computer, and the integration of test functions, the multi-source fusion test method for the thermal characteristics of dry-cutting and hobbing machine was constructed. …”
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Thermal characteristics testing and analysis of dry gear hobbing machines on multivariate information fusion by PENG Shengdi, YANG Xiao, LI Benjie, HE Lang, ZHANG Zhili

“…Through the selection of hardware for the lower computer, the development of software functions for the upper computer, and the integration of test functions, the multi-source information fusion test method for the thermal characteristics of dry gear hobbing machine was constructed. …”
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The On-Chip D-LMS Filter Design Method of Wireless Sensor Node Based on FPGA by Jian Li, Maojin Li, Ming Meng, Zepeng Liu

“…In the real-time position technology of underground shallow source, the signal denoising performance of wireless sensor nodes directly determines the location speed and accuracy of underground burst point. …”
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Broad-scale climate influences on spring-spawning herring (Clupea harengus, L.) recruitment in the Western Baltic Sea. by Joachim P Gröger, Hans-Harald Hinrichsen, Patrick Polte

“…Moreover, we combined a traditional approach with modern time series analysis based on a recruitment model connecting parental population components with reproduction success. Generalized transfer functions (ARIMAX models) allowed evaluating the dynamic nature of exogenous climate processes interacting with the endogenous recruitment process. …”
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Routing algorithm for heterogeneous computing force requests based on computing first network by ZHANG Gang, LI Xi

“…By constructing a solution matrix and utilizing evaluation functions, random selection of feasible solutions, and the principle of low demand priority avoidance, a set of feasible solution sets was ultimately found. …”
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Little Peacemakers: Microbes Can Promote Nonviolent Conflict Resolution by Their Hosts by Yonatan Bendett, Lilach Hadany

“…Therefore, selection on the microbes favors reduced host aggressiveness under wider conditions compared to selection acting on genes alone. …”
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A variable metric proximal stochastic gradient method: An application to classification problems by Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani

“…Further, we utilize a non-monotone line search to automatize step size selection. Convergence results are provided for both convex and non-convex objective functions. …”
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Bovine PMN responses to extracellular vesicles released by Besnoitia besnoiti tachyzoites and B. besnoiti-infected host cells by Gabriel Espinosa, Constanza Salinas-Varas, Lisbeth Rojas-Barón, Christian Preußer, Elke Pogge von Strandmann, Ulrich Gärtner, Iván Conejeros, Carlos Hermosilla, Anja Taubert

“…Therefore, we tested whether exposure of bovine PMN to EVs from different cellular sources affects classical PMN effector functions and cytokine/chemokine secretion. …”
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Joint Operation Technology of Directional Bridge Plug and Perforation for Horizontal Wells Based on Inclination Angle Detector by TANG Ke, FANG Ming

“…By developing a inclination angle detector and a fully integrated directional perforation device, integrating the selection control chip and three-axis acceleration sensor functions, the control circuit is designed to achieve the initiation control of cluster perforation, measure the direction of perforation projectile in real time and upload it to the ground selection control system. …”
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Multi-Level Thresholding Color Image Segmentation Using Modified Gray Wolf Optimizer by Pei Hu, Yibo Han, Zheng Zhang

“…To acquire the optimal thresholds at different levels, we modify the GWO (MGWO) in terms of leader selection, position update, and mutation. We also use the Otsu method and Kapur entropy as objective functions. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data. by Guillermo Pérez-Hernández, Peter W Hildebrand

“…We present mdciao, an open-source command line tool and Python Application-Programming-Interface (API) for easy, one-shot analysis and representation of molecular dynamics (MD) simulation data. …”
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Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems bi... by M. R. P. De Silva, J. W. J. K. Weeraman, S. Piyatissa, P. C. Fernando

“…Using a list of known seed development proteins from the Gene Ontology (GO) knowledgebase and literature, novel candidate proteins for seed development were predicted using an ensemble of network-based algorithms, including Majority Voting, Hishigaki Algorithm, Functional Flow, and Random Walk with Restart, which were selected based on their popularity and usability. …”
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21 Balmer Jump Street: The Nebular Continuum at High Redshift and Implications for the Bright Galaxy Problem, UV Continuum Slopes, and Early Stellar Populations by Harley Katz, Alex J. Cameron, Aayush Saxena, Laia Barrufet, Nichloas Choustikov, Nikko J. Cleri, Anna de Graff, Richard S. Ellis, Robert A.E. Fosbury, Kasper E. Heintz, Michael Maseda, Jorryt Matthee, Ian McConachie, Pascal A. Oesch

“…Second, we present a dataset of 58 galaxies observed with NIRSpec on JWST at $2.5<z<9.0$ that are selected to have strong nebular continuum emission via the detection of the Balmer jump. …”
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Real-World Robot Control Based on Contrastive Deep Active Inference With Demonstrations by Kentaro Fujii, Takuya Isomura, Shingo Murata

“…As a result, while the baselines achieved a success rate of up to approximately 71%, the proposed framework achieved a success rate of around 96%. …”
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Real-World Efficacy of Explainable Artificial Intelligence using the SAGE Framework and Scenario-Based Design by Eleanor Mill, Wolfgang Garn, Chris Turner

“…The first of its kind, it leverages three distinct but complementary frameworks to support a user-centric and context-sensitive, post-hoc explanation for fraud detection. Using the principles of scenario-based design, it amalgamates two independent real-world sources to establish a realistic card fraud prediction scenario. …”
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