Multidrug resistance and virulence profile of the commensal Proteus mirabilis isolated from a native Iraqi frozen chicken carcass by Zaid A. Thabit, Zahraa A. AlShaheeb, May Ridha Jaafar, Safaa A.S. Al-Qaysi, Sana M.H. Al-Shimmary

“…It assesses the activities of nine antimicrobial agents and the presence of antimicrobial resistance genes and virulence genes. Thirty samples were collected from five local Iraqi companies. and then the antibiotic-resistance genes and virulence factor-related genes were detected via polymerase chain reaction (PCR). …”
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Rapid detection of Lys-gingipain using fluorogenic peptide substrate for diagnosis of periodontitis by Jeeyeon Park, Seongsoo Kim, Sang-Myung Lee, Hanseung Baek, Dong-Sik Shin

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Novel Betaherpesviruses in Neotropical Bats on the Caribbean Island of St. Kitts: First Report from Antillean Tree Bats (<i>Ardops nichollsi</i>) and Evidence for Cross-Species Tra... by Jessica L. Kulberg, Sarah Hooper, Yashpal S. Malik, Souvik Ghosh

“…To our knowledge, this is the first report on detection of herpesviruses from Antillean tree bats (<i>A. nichollsi</i>), expanding the host range of betaherpesviruses. …”
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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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EEG-Based Emotion Detection Using Roberts Similarity and PSO Feature Selection by Mustafa Hussein Mohammed, Mustafa Noaman Kadhim, Dhiah Al-Shammary, Ayman Ibaida

“…In this paper, a novel classifier based on Robert&#x2019;s similarity measure is introduced for emotion detection using electroencephalogram (EEG) signals. …”
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Detection of Apple Proliferation Disease Using Hyperspectral Imaging and Machine Learning Techniques by Uwe Knauer, Sebastian Warnemünde, Patrick Menz, Bonito Thielert, Lauritz Klein, Katharina Holstein, Miriam Runne, Wolfgang Jarausch

“…The results show that imaging multiple leaves of a tree enhances detection results, that spectral indices are a robust means to detect the diseased trees, and that the potentials of the full spectral range can be exploited using machine learning approaches. …”
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Detection of Tomato Leaf Pesticide Residues Based on Fluorescence Spectrum and Hyper-Spectrum by Jiayu Gao, Xuhui Yang, Simo Liu, Yufeng Liu, Xiaofeng Ning

“…In order to rapidly and nondestructively detect pesticide residues on tomato leaves, fluorescence spectroscopy and hyperspectral techniques were used to study the nondestructive detection of three different concentrations of benzyl-pyrazolyl esters on the surface of tomato leaves, respectively. …”
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Investigation of Hyalomma turanicum and Hyalomma asiaticum in Pakistan, with notes on the detection of tickborne Rickettsiales by Zafar Ullah, Zafar Ullah, Iram Liaqat, Mehran Khan, Abdulaziz Alouffi, Mashal M. Almutairi, Dmitry A. Apanaskevich, Dmitry A. Apanaskevich, Tetsuya Tanaka, Abid Ali

“…Similarly, in gltA, ompA, and ompB phylogenetic trees of Rickettsia, R. aeschlimannii of the present study clustered with the same species, whereas Anaplasma sp. and Ehrlichia sp. of this study clustered with undetermined Anaplasma spp. and Ehrlichia spp. in the 16S rDNA phylogenetic tree of Anaplasmataceae. …”
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An improved air conditioner label defect detection algorithm based on SURF features by Huizi ZHOU, Yuelin LIU, Qing LIU, Jianwu LI

“…Aiming at the bottleneck that deep learning algorithms are not compatible with device detection and new sample collection,as well as poor detection timeliness and generalization ability,a traditional template matching detection algorithm based on SURF features was proposed. …”
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Empowering Diagnostics: An Ensemble Machine Learning Model for Early Liver Disease Detection by Abdulrahman Ahmed Jasim, Hajer Alwindawi, Layth Rafea Hazim

“…We then perform correlation-based feature reduction before training a stacking classifier that combines Random Forest, XGBoost, and ExtraTrees base learners with an ExtraTrees meta‑learner. …”
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Combine photosynthetic characteristics and leaf hyperspectral reflectance for early detection of water stress by Linbao Li, Linbao Li, Linbao Li, Guiyun Huang, Guiyun Huang, Guiyun Huang, Jinhua Wu, Jinhua Wu, Jinhua Wu, Yunchao Yu, Yunchao Yu, Yunchao Yu, Guangxin Zhang, Guangxin Zhang, Guangxin Zhang, Yang Su, Yang Su, Yang Su, Xiongying Wang, Xiongying Wang, Xiongying Wang, Huiyuan Chen, Huiyuan Chen, Huiyuan Chen, Yeqing Wang, Di Wu, Di Wu, Di Wu

“…Advanced techniques capable of early and non-destructive detection of the impacts of water stress on trees and estimation of the underlying photosynthetic capacities on larger scale are necessary to meet the challenges of limiting plant growth and ecological protection caused by drought. …”
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Automatic detection of floating instream large wood in videos using deep learning by J. Aarnink, J. Aarnink, T. Beucler, T. Beucler, M. Vuaridel, V. Ruiz-Villanueva, V. Ruiz-Villanueva

“…The approach uses a convolutional neural network to automatically detect wood. We sampled data to represent different wood transport conditions, combining 20 datasets to yield thousands of instream wood images. …”
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Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…For each data block, randomness measurement algorithms were utilized to extract sample features and construct randomness features for the original payload. …”
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A quantitative benchmark of neural network feature selection methods for detecting nonlinear signals by Antoine Passemiers, Pietro Folco, Daniele Raimondi, Giovanni Birolo, Yves Moreau, Piero Fariselli

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Detection of Apple Sucrose Concentration Based on Fluorescence Hyperspectral Image System and Machine Learning by Chunyi Zhan, Hongyi Mao, Rongsheng Fan, Tanggui He, Rui Qing, Wenliang Zhang, Yi Lin, Kunyu Li, Lei Wang, Tie’en Xia, Youli Wu, Zhiliang Kang

“…Sucrose concentration (SC) is a key factor influencing the flavor and ripeness of apples, serving as an important quality indicator. Nondestructive SC detection has significant practical value. Currently, SC is mainly measured using handheld refractometers, hydrometers, electronic tongues, and saccharimeter analyses, which are not only time-consuming and labor-intensive but also destructive to the sample. …”
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Detecting global and local hierarchical structures in cell-cell communication using CrossChat by Xinyi Wang, Axel A. Almet, Qing Nie

“…Here, we develop CrossChat, a novel computational framework designed to infer and analyze the hierarchical cell-cell communication structures using two complementary approaches: a global hierarchical structure using a multi-resolution clustering method, and multiple local hierarchical structures using a tree detection method. This framework provides a comprehensive approach to understand the hierarchical relationships within CCC that govern complex tissue functions. …”
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CDK: A novel high-performance transfer feature technique for early detection of osteoarthritis by Mohammad Shariful Islam, Mohammad Abu Tareq Rony

“…The proposed novel CDK (convolutional neural network, decision tree, K-nearest classifier) ensemble approach for feature extraction is designed to synergize the predictive capabilities of individual models, thereby significantly improving the detection accuracy of OA indicators within radiographic images. …”
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Molecular detection of Anaplasma platys in Pshdar Kurdish shepherd dogs of Sulaymaniyah Province, Iraq by Eman D. Arif, Karwan M. Hama Khan, Israa H. Abd Al-Sada, Yousif M. S. Al-Barzinji

“…Moreover, the phylogenetic tree of the isolated species, A. platys, was significantly similar to other strains of A. platys found worldwide. …”
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A Molecular Technique for Detecting Cow’s Dried and Liquid Packaged Milk products Adulteration by Noor M Naji, Kamaran M. Taha, Hemin H Ali, Dilger M Khdr, Adnan H S Resol, Hero M Muhammad

“…By analyzing genetic sequences, we have been able to detect genetic variations and construct phylogenetic trees to differentiate cow's milk from other species. …”
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Molecular Detection and Genetic Characterization of Avian Leukosis Virus From Field Outbreaks in Bangladesh by Md. Golzar Hossain, Riman Pathan, SM Nazmul Hasan, Anandha Mozumder, Moslema Jahan Mou, Marjana Akter, Chandan Sikder, Riyan Al Islam Reshad, Roni Mia, Sukumar Saha, Tofazzal Islam, Sharmin Akter

“…A total of 14 liver samples were collected from the suspected layer flocks in Bangladesh. …”
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