Experimental study on solution possibilities of multiextremal optimization problems through heuristic methods by Rudolf A. Neydorf, Ivan V. Chernogorov, Orkhan Takhir Yarakhmedov, Victor V. Polyakh

“…Each method can provide any desired accuracy of the extremum problem solution, and it utilizes an acceptable time resource.…”
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Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning by Dinghui Wu, Qin Fang, Chuyi Wu

“…Aiming at the problem of limited fault diagnosis performance caused by a single source of historical operating data for wind turbine bearings and a small amount of data， a small sample fault diagnosis method of bearings based on data generation and transfer learning is proposed. …”
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Attack traffic allocation and load balancing mechanism for SDN by LI Man, ZHOU Huachun, XU Qi, DENG Shuangxing, ZOU Tao, ZHANG Ruyun

“…The traffic allocation problem was modeled as a Markov decision process (MDP), where the reward function included both resource consumption and delay. …”
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Spectral domain optical coherence tomography: a better OCT imaging strategy by Zahid Yaqoob, Jigang Wu, Changhuei Yang

“…There are two approaches to SDOCT—one that uses a broadband source and a spectrometer to measure the interference pattern as a function of wavelength and the other that utilizes a narrowband tunable laser that is swept linearly in k ∼ 1/λ space during spectral fringe data acquisition. …”
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Ultra-high-energy γ-ray emission associated with the tail of a bow-shock pulsar wind nebula

“…The source energy spectrum extended up to 300 TeV, which was well fitted by a log-parabola function with N0 = (1.93 ± 0.23) × 10−16 TeV−1 cm−2 s−1, α = 2.14 ± 0.27, and β = 1.20 ± 0.41 at E0 = 30 TeV. …”
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A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

“…A progressive brain disease that affects memory and cognitive function is Alzheimer’s disease (AD). To put therapies in place that potentially slow the progression of AD, early diagnosis and detection are essential. …”
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On Power-Off Temperature Attacks Potential Against Security Sensors by Maryam Esmaeilian, Vincent Beroulle, David Hély

“…Although numerous security sensors and attack detectors have been proposed in the literature to detect different sources of FIAs, it is crucial to ensure that these mechanisms themselves have not been tampered. …”
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Unlocking the potential of circulating small extracellular vesicles in neurodegenerative disease through targeted biomarkers and advancements in biosensing by Saqer Al Abdullah, Ivy Cocklereece, Kristen Dellinger

“…Neurodegenerative diseases (NDDs) gradually affect neurons impacting both their function and structure, and they afflict millions worldwide. …”
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Harnessing evanescent photoacoustic waves for multi-domain imaging by Rong Zhou, Liying Zhang, Beibei Li, Jingtao Xiao, Yiheng Xing, Chang Chen, Yuecheng Shen, Hao Shen, Deng Pan, Hongxing Xu

“…Leveraging these features, we develop a proof-of-concept for supercritical angle photoacoustic microscopy (SA-PAM), which utilizes evanescent PA waves to enable new PAM functionalities, such as surface topography reconstruction and edge detection. …”
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Integrating voltammetry and substrate-enhanced luminescence for noninvasive glucose sensing by Gabriel López-Peña, Ana Pallarés Vilar, Aida Jaafar, Silvia Simón-Fuente, Antonio Arranz, Maria Ribagorda, Miguel Manso-Silván, Emma Martín Rodríguez

“…This study presents a novel noninvasive and enzyme-free dual sensor based on porous silicon (PSi) for the detection of D-glucose through tear fluid analysis. …”
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Research on the Non-Uniform Temperature Field Distribution of Q355B Steel for Grain Storage under Fire Conditions by Min Yu, Zhen Cheng, Rui-Bin Gou, Nian Wang

“…The peak temperature Tmax and the heating rate vr at the fire source points of each test plate increased linearly with the increase of heat input Q at the fire source. …”
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Impact of low testing numbers on chronic wasting disease apparent prevalence by Jameson J. Mori, Nelda A. Rivera, William M. Brown, Daniel J. Skinner, Peter E. Schlichting, Jan E. Novakofski, Nohra E. Mateus-Pinilla

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Utilizing a Transient Electromagnetic Inversion Method with Lateral Constraints in the Goaf of Xiaolong Coal Mine, Xinjiang by Yingying Zhang, Bin Xie, Xinyu Wu

“…The abandoned goaf resulting from coal resource integration in China poses a significant threat to coal mine safety. …”
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SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 2; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

“…Such a process is often resource-intensive and may not be consistent across users and sensors. …”
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A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds by Ondřej Santolík, Ivana Kolmašová, Ulrich Taubenschuss, Miroslav Hanzelka, David P. Hartley

“…We also remove all data points which may be contaminated by instrumental noise using a newly developed method to define detection thresholds as a function of frequency, time, and instrument settings. …”
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Sequence analysis of tyrosine recombinases allows annotation of mobile genetic elements in prokaryotic genomes by Georgy Smyshlyaev, Alex Bateman, Orsolya Barabas

“…This work provides a resource for comparative analysis and functional annotation of YRs and aids the development of computational tools for MGE annotation. …”
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CLASSIFYING LIVER DISEASE WITH BOOSTING MACHINE LEARNING APPROACHES by Erol Özçekiç, Ümit Yılmaz

“…Liver diseases pose a significant global health challenge due to their impact on metabolic function and the difficulty of early detection. Traditional diagnostic methods such as liver biopsy have limitations due to their invasive nature and high costs. …”
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Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory by Zilong Zhao, Luliang Tang, Chang Ren, Xue Yang, Zihan Kan, Qingquan Li

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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

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Milk phenomics: leveraging biological bonds with blood and infrared technologies for evaluating animal nutritional and health status by Diana Giannuzzi, Chiara Evangelista, Angela Costa, Giuseppe Conte, Gianluca Neglia, Umberto Bernabucci, Stefano Schiavon, Marcello Mele, Alessio Cecchinato

“…Indeed, monitoring the nutritional and health status becomes paramount, aiming for an early detection of (sub)clinical health impairments. Given the mammary gland’s centrality in high-yielding dairy breeds, it’s unsurprising that the milk matrix provides insights about udder itself but also systemic metabolic function. …”
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