An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection by ZHANG Han

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Two-step detection of Lewy body pathology via smell-function testing and CSF α-synuclein seed amplification by Sophie E. Mastenbroek, Lyduine E. Collij, Jacob W. Vogel, Serena Caldera, Geidy E. Serrano, Charles H. Adler, Claudia Marina Vargiu, Sebastian Palmqvist, Frederik Barkhof, Piero Parchi, Thomas G. Beach, Rik Ossenkoppele, Oskar Hansson

“…To address these challenges, this study evaluated a two-step workflow combining prescreening via smell-function testing with confirmatory CSF α-syn SAA testing only in individuals with reduced smell, for predicting postmortem LBP status. …”
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An Attomolar-Level Optical Device for Monitoring Receptor–Analyte Interactions Without Functionalization Steps: A Case Study of Cytokine Detection by Nunzio Cennamo, Francesco Arcadio, Chiara Marzano, Rosalba Pitruzzella, Mimimorena Seggio, Maria Pesavento, Stefano Toldo, Antonio Abbate, Luigi Zeni

“…The POF-based device was proven to be effective for detecting several interleukins at the attomolar level in a few minutes and without functionalization processes.…”
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Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation by N.S. Davydov, V.V. Evdokimova, P.G. Serafimovich, V.I. Protsenko, A.G. Khramov, A.V. Nikonorov

“…Subject head motion remains the main source of artifacts - even the tiniest head movement can perturb the structural and functional data derived from the fMRI. In this paper, we propose an end-to-end neural network technology for detecting step anomalies with training on partially synthetic data with adaptation to a specific small set of real data. …”
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Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking by Ah-Hyung Shin, Seong Tae Kim, Gyeong-Moon Park

“…Time series anomaly detection is a task that determines whether an unseen signal is normal or abnormal, and it is a crucial function in various real-world applications. …”
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Study of high-speed malicious Web page detection system based on two-step classifier by Zheng-qi WANG, Xiao-bing FENG, Chi ZHANG

“…In view of the increasing number of new Web pages and the increasing pressure of traditional detection methods,the naive Bayesian algorithm and the support vector machine algorithm were used to design and implement a malicious Web detection system with both efficiency and function,TSMWD ,two-step malicious Web page detection.The first step of detection system was mainly used to filter a large number of normal Web pages,which was characterized by high efficiency,speed,update iteration easy,real rate priority.After the former filter,due to the limited number of samples,the main pursuit of the second step was the detection rate.The experimental results show that the proposed scheme can improve the detection speed of the system under the condition that the overall detection accuracy is basically the same,and can accept more detection requests in certain time.…”
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Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data by P. A. Khmarskiy

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Can Machine Learning Enhance Intrusion Detection to Safeguard Smart City Networks from Multi-Step Cyberattacks? by Jowaria Khan, Rana Elfakharany, Hiba Saleem, Mahira Pathan, Emaan Shahzad, Salam Dhou, Fadi Aloul

“…In such a context, the proposed machine learning model offers a robust solution for detecting and mitigating multi-step cyberattacks in these critical environments. …”
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Nitrogen and boron co-doped carbon dots probe for selectively detecting Hg2+ in water samples and the detection mechanism by Qiu Lixin, Qi Haiyan, Li Wenbo, Li Jun, Sami Rokayya, Aljuraide N. I., Abo-dief Hala M., Helal Mahmoud

“…Remarkably, N,B-CDs, without any surface modifications, functioned as a direct “turn-off” probe, enabling swift, highly selective Hg2+ detection. …”
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A rapid and accurate method for Helicobacter pylori detection via integrating LAMP assay with CRISPR/Cas12b detection by one-step in one-pot by Yeqian Zhang, Tao Liu, Puhua Zhang, Bo Ni, Xingang Wang, Long Bai, Wei Sun, Yujing Guan, Xiang Xia, Hui Cao, Jiayi Gu

“…There is a pressing need for a rapid, cost-effective, and user-friendly diagnostic platform for HP detection, particularly in point-of-care settings.MethodsWe developed an integrated detection platform combining loop-mediated isothermal amplification (LAMP) with the CRISPR/Cas12b system in a single, one-step, one-pot reaction. …”
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Corneal Stromal Opacities Accompanied by Hyperopia and Irregular Astigmatism: Two-Step Technology of the Clinical Rehabilitation by I. A. Mushkova, N. V. Maychuk, R. A. Makarov, G. M. Chernakova

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Integrated Single-Step Terahertz Metasensing for Simultaneous Detection Based on Exosomal Membrane Proteins Enables Pathological Typing of Gastric Cancer by Qingzhe Jia, Zhaofu Ma, Yujia Wang, Mingjin Zhang, Guijun Zou, Bin Lan, Songyan Li, Zeqiu Lao, Wenbin Shen, Jing Lou, Yanan Jiao, Xiaohui Du

“…Herein, we propose an integrated terahertz metasensing platform for the discrimination of Exos in distinct subtypes of GC in a single step—through the simultaneous evaluation of the category and richness level of Exos membrane proteins. …”
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Conflict Detection of Functional Requirements Based on Clustering and Rule-Based System by Sarwosri, Umi Laili Yuhana, Siti Rochimah

“…Functional requirement identification is the initial stage in software development and a crucial step in the success of software development. …”
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DetectEV: A functional enzymatic assay to assess integrity and bioactivity of extracellular vesicles by Giorgia Adamo, Sabrina Picciotto, Paola Gargano, Angela Paterna, Samuele Raccosta, Estella Rao, Daniele Paolo Romancino, Giulio Ghersi, Mauro Manno, Monica Salamone, Antonella Bongiovanni

“…Our findings underscore the detectEV assay's utility in comprehensive characterization of EV functionality and integrity, enhancing batch‐to‐batch reproducibility and facilitating their therapeutic applications.…”
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A systematic environmental intervention, nidotherapy, given to whole communities: protocol for a randomised stepped-wedge trial by Peter Tyrer, Mike Crawford, Abdullah Ahmad, Barbara Barrett, Woody Caan, Conor Duggan, Eleni Frisira, Tim Kendall, Jacob King, David Daley, Elizabeth Mullins, Richard Parish, Yangang Xing, Min Yang

“…Aims A cluster-randomised step-wedge trial is planned in six village communities in Nottinghamshire, England, covering an adult population of 400. …”
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Smart phone-assisted colorimetric detection of iron using Terminalia chebula coated amine functionalized mesoporous silica nanoparticles by Arighna Saha, Snehasis Bhakta, Goutam Biswas

“…Chebula-coated APTES functionalized mesoporous silica nanoparticles (TC-APTES@MSN) and detected iron in water. …”
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Measuring nanoscale friction at graphene step edges by Zhe Chen, Seong H. Kim

“…During the step-down motion of the tip over the exposed step edge, both resistive and assistive components can be detected in the lateral force signal of AFM if the scan resolution is sufficiently high. …”
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Time Series Anomaly Detection Using Signal Processing and Deep Learning by Jana Backhus, Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Chetan Gupta

“…In the second step, we utilize a Functional Neural Network Autoencoder for anomaly detection, leveraging its ability to capture non-linear temporal relationships in the data. …”
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A comparative analysis of single-step and multi-step methods for producing magnetic activated carbon from palm kernel shells: Adsorption of methyl orange dye by Waluyo Joko, Rahmawati Farida Dwi, Izzulhaq Muhammad Ghozy, Purba Ibnu Tryansar, Kaavessina Mujtahid, Wibowo Wusana Agung, Pranolo Sunu Herwi, Buwono Haris Puspito, Septian Ardie, Adnan Muflih Arisa

“…Fourier transform infra-red characterization showed that the functional groups detected on the activated carbon and MAC were O–H, C═O, C═C, C≡N, and C–O. …”
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An object detection method in foggy weather based on novel feature enhancement and fusion by ZHU Lei, ZHAO Han, WANG Weili

“…To further improve the detection accuracy of objects in foggy scenes for deep learning networks, a foggy object detection method called NFF-YOLOX is proposed based on the YOLOX network. …”
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