Pitot Tube-Based Icing Detection: Effect of Ice Blocking on Pressure by Xianglian Lv, Jie Guan, Shengkun Wang, Haiyang Zhang, Shijie Xue, Qi Tang, Yang He

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ASB3 ablation has no detectable effects on spermatogenesis and fertility in male mice by Changtong Xu, Xiya Qiu, Aiyan Zheng, Yan Pu, Tiantian Wu, Jie Ding, Bo Zheng

“…Hence, we demonstrated that ASB3 ablation has no detectable effects on spermatogenesis and fertility in male mice.…”
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Identification Flavonoid of Bougainvillea spectabilis flowers in Nasiriyah by HPLC and Detection Effect of Extract as Antibacterial by Salwa Lafta, Alla N. AL-Waheeb

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No detectable effect of urbanization on genetic drift or gene flow in specialist herbivorous insects of milkweed. by Lindsay S Miles, Elizabeth J Carlen, Zain Nassrullah, Jason Munshi-South, Marc T J Johnson

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Probiotics reduce negative mood over time: the value of daily self-reports in detecting effects by Katerina V.-A. Johnson, Laura Steenbergen

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Investigation of ZnO thin-film sensing properties for CO2 detection: effect of Mn doping by Boshra Ghanbari Shohany, Leili Motevalizadeh, Majid Ebrahimizadeh Abrishami

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GC-MS Assay to Ethanolic and Aquatic Extract of Mentha spicata L. leaves and Detection Effect of Extract as Antibacterial by Ahmed Jameel

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Pretreatment of epithelial cells with live Streptococcus pneumoniae has no detectable effect on influenza A virus replication in vitro. by Kang Ouyang, Shireen A Woodiga, Varun Dwivedi, Carolyn M Buckwalter, Anirudh K Singh, Basavaraj Binjawadagi, Jagadish Hiremath, Cordelia Manickam, Rose Schleappi, Mahesh Khatri, Jianmin Wu, Samantha J King, Gourapura J Renukaradhya

“…But, pretreatment of cell lines with 7.5×10(5) and lower CFUs of S. pneumoniae had no detectable effect on either the morphology of cells or on the IAV replication. …”
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GC-MS Assay to Alkaloid Extract of T. foenum-graecum Seeds and Detection Effect of Extract as Antibacterialect Of Extract  As Antibacterial by Sura Salim Nadhm, Alla N. AL-Waheeb

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Subparalyzing Doses of Rocuronium Reduce Muscular Endurance without Detectable Effect on Single Twitch Height in Awake Subjects by Jan Gelberg, Peter Bentzer, David Grubb

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Analysis of vehicle and pedestrian detection effects of improved YOLOv8 model in drone-assisted urban traffic monitoring system. by Huili Dou, Sirui Chen, Fangyuan Xu, Yuanyuan Liu, Hongyang Zhao

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Multiobject Detection Algorithm Based on Adaptive Default Box Mechanism by Jinling Li, Qingshan Hou, Jinsheng Xing

“…Considering the defects of the traditional single shot multibox detector (SSD) algorithm, such as poor small object detection effect, reliance on manual setting for default box generation, and insufficient semantic information of the low detection layer, the detection effect in complex scenes was not ideal. …”
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Related and independent variable fault detection method based on KPCA-SVM by GUO Jinyu, YU Huan, LI Yuan

“…The results show that the proposed KPCA-SVM method has a good detection effect and improves the detection effect of multiple faults, among which the detection effect of minor fault 5 is significantly improved, which further verifies the effectiveness of the KPCA-SVM method.…”
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Optical Fiber Multiparameter Detection and Numerical Simulation and Characteristics of Water Quality Particulate Matter Based on Single-Photon Detection Technology by Quan Xu, Cuiyun Gao, Chun Zhou

“…The experimental results showed that for the transmission optical fiber turbidity detection system, the detection effect of the system was the best under the incident light intensity of 11 wm, and the fitting value was 0.99; for the scattering optical fiber turbidity detection system, the detection effect of the system was the best under the incident light intensity of 4 wm, and the fitting value was 0.99.…”
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Application of EEG Signal Recognition Method Based on Duffing Equation in Psychological Stress Analysis by Min Chai, Lei Ba

“…From the relationship between the parameters and the initial values, the influence of different parameters on the detection effect is analyzed to verify the superiority of the current equation parameters. …”
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An optimization method of multiscale storage tank target detection introducing an attention mechanism by Wenjia Sun, Chunchun Hu, Nianxue Luo, Qiansheng Zhao

“…Second, to improve the detection effect of small targets, the model adds a small target detection head and performs multiscale target detection. …”
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Refining features for underwater object detection at the frequency level by Wenling Wang, Zhibin Yu, Zhibin Yu, Mengxing Huang

“…The blurring problem caused by water scattering on underwater images makes the high-frequency texture edge less obvious, affecting the detection effect of objects in the image. To address this issue, we design a multi-scale high-frequency information enhancement module to enhance the high frequency features extracted by the backbone network and improve the detection effect of the network on underwater objects. …”
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Hard-coded backdoor detection method based on semantic conflict by Anxiang HU, Da XIAO, Shichen GUO, Shengli LIU

“…The current router security issues focus on the mining and utilization of memory-type vulnerabilities, but there is low interest in detecting backdoors.Hard-coded backdoor is one of the most common backdoors, which is simple and convenient to set up and can be implemented with only a small amount of code.However, it is difficult to be discovered and often causes serious safety hazard and economic loss.The triggering process of hard-coded backdoor is inseparable from string comparison functions.Therefore, the detection of hard-coded backdoors relies on string comparison functions, which are mainly divided into static analysis method and symbolic execution method.The former has a high degree of automation, but has a high false positive rate and poor detection results.The latter has a high accuracy rate, but cannot automate large-scale detection of firmware, and faces the problem of path explosion or even unable to constrain solution.Aiming at the above problems, a hard-coded backdoor detection algorithm based on string text semantic conflict (Stect) was proposed since static analysis and the think of stain analysis.Stect started from the commonly used string comparison functions, combined with the characteristics of MIPS and ARM architectures, and extracted a set of paths with the same start and end nodes using function call relationships, control flow graphs, and branching selection dependent strings.If the strings in the successfully verified set of paths have semantic conflict, it means that there is a hard-coded backdoor in the router firmware.In order to evaluate the detection effect of Stect, 1 074 collected device images were tested and compared with other backdoor detection methods.Experimental results show that Stect has a better detection effect compared with existing backdoor detection methods including Costin and Stringer: 8 hard-coded backdoor images detected from image data set, and the recall rate reached 88.89%.…”
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Hyperspectral Target Detection Based on Prior Spectral Perception and Local Graph Fusion by Xiaobin Zhao, Jun Huang, Yunquan Gao, Qingwang Wang

“…It can make full use of spectral and spatial structure information to improve the target detection effect. Publicly available datasets and real collected datasets are adopted to check the validity of the proposed method. …”
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Intrusion Detection Technology for Wireless Sensor Networks Based on Autoregressive Moving Average by Ju-zhen Yu

“…Firstly, the technology uses the autoregressive moving average model ARMA (autoregressive moving average) to establish the ARMA traffic prediction model for the node and then uses the predicted traffic value to obtain the traffic reception rate range through the node. Finally, the detection effect is achieved by comparing whether the actual service reception rate exceeds the prediction range. …”
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