Data curation of extracellular enzyme activity spectrophotometric or fluorometric data by Niels Gudmand Christiansen, Paul Iturbe-Espinoza, Rumakanta Sapkota, Anne Winding

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Mobile phone encryption as an obstacle in criminal investigation: Review of comparative solutions by Pisarić Milana

“…In detecting criminal offences, the police increasingly rely on electronic evidence. …”
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Integrated assessment of soil quality and contaminant risks in salinized farmland adjacent to an oil-exploitation zone: insights from the Yellow River Delta by Xiaofan Xie, Jijin Cai, Xiaosong Yang, Hui Qiu, Yuexian Liu, Yuanxun Zhang

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Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests by Marissa H. Chase, Alexandra Harmon‐Threatt, Samuel F. Stickley, Brian Charles, Jennifer M. Fraterrigo

“…We investigated whether structural metrics derived from light detection and ranging (LiDAR) data could predict bee diversity and abundance, as well as bee functional trait composition within managed and unmanaged forests in the central hardwood region in southern Illinois, United States of America. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

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Maximum Entropy Principle Based on Bank Customer Account Validation Using the Spark Method by Xiaorong Qiu, Ye Xu, Yingzhong Shi, S. Kannadhasan Deepa, S. Balakumar

“…This research works in the field of money laundering detection from real bank data. Banking data analysis is a complex process that involves information gathered from various sources, mainly in terms of personality, such as bills or bank account transactions which have qualitative characteristics such as the testimony of eyewitnesses. …”
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Motivation and stimulation of employment specialists in the sphere of information technologies by S. Bazhenov

“…In conducting this study the main sources of raw data served as the information contained in scientific, reference, periodical literature on the subject in question, including the sources of information and telecommunications network "Internet". …”
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Comparative analysis of microwave indices for freeze/thaw state monitoring and adaptive thresholding implications by Zhicheng Yang, Tianjie Zhao, Qingfeng Wang, Lihua Peng, Youhua Ran, Yu Bai, Jingyao Zheng, Panpan Yao, Zhiqing Peng, Jinbiao Zhu, Xiaokang Kou, Yuei-An Liou, Jiancheng Shi

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Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

“…Ambient light interference stands as the primary source of noise encountered by the light detection and ranging (LiDAR) systems based on single-photon avalanche diode (SPAD), which seriously restricts the detection range and accuracy of sensors. …”
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Protocol Biopsies in Kidney Transplant Recipients: Current Practice After Much Discussion by Christina Lazarou, Eleni Moysidou, Michalis Christodoulou, Stamatia Stai, Georgios Lioulios, Efstratios Kasimatis, Asimina Fylaktou, Maria Stangou

“…Expert opinion and consensus acknowledge the benefits of protocol biopsies for early detection and tailored management but also highlight ongoing debates regarding their routine use in low-risk patients due to risks, costs, and resource considerations. …”
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Comprehensive analysis of the NAC transcription factor gene family in Sophora tonkinensis Gagnep by Ximei Liang, Shuangshuang Qin, Guili Wei, Xiaoyun Guo, Shugen Wei, Fan Wei, Ying Liang

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Evaluation of allergenic protein profiles in three Chinese high-oleic acid peanut cultivars using NanoLC-Orbitrap mass spectrometry by Xinke Yang, Haochen Bai, Lijun Yin, Jin Wang, Wentong Xue, Xin Jia

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A Benzimidazole-Based Fluorescent Probe for the Selective Recognition of Cobalt (II) Ions by Jing Zhu, Hua-Fen Wang, Jia-Xiang Zhang, Man Wang, Yu-Wei Zhuang, Zhi-Guang Suo, Ye-Wu He, Yan-Chang Zhang, Min Wei, Hai-Yan Zhang

“…However, excessive cobalt intake can cause health issues. Detecting cobalt ions, especially Co²⁺, in food is crucial due to potential contamination from various sources. …”
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Implementation of stochastic signal processing algorithms in radar CAD by M. Yu. Konopel'kin, S. V. Petrov, D. A. Smirnyagina

“…A simulation model of a sector surveillance radar with a digital antenna array was created in the radar CAD visual functional editor. The passive channel included the following algorithms: algorithm for detecting stochastic signals; algorithm for estimating the number of stochastic signals; direction finding algorithm for stochastic signal sources; adaptive spatial filtering algorithm. …”
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The Dysregulation of Tuning Receptors and Transcription Factors in the Antennae of <i>Orco</i> and <i>Ir8a</i> Mutants in <i>Aedes aegypti</i> Suggests a Chemoreceptor Regulatory M... by Matthew M. Cooke, Michael S. Chembars, Ronald Jason Pitts

“…Individual tuning receptors in both families require co-receptors for functionality: <i>Orco</i> for all <i>Ors</i>, and <i>Ir8a</i> for many <i>Irs</i>, especially ones that are involved in carboxylic acid detection. …”
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Factors associated with contrast-associated acute kidney injury in an emergency department: A cohort study in Lebanon. by Moustafa Al Hariri, Sally Al Hassan, Malak Khalifeh, Hani Tamim, Imad El Majzoub, Tharwat El Zahran

“…<h4>Background</h4>Contrast-associated acute kidney injury (CA-AKI) is a common problem in hospitals, particularly in low-middle-income countries (LMIC), due to limited resources and a high prevalence of comorbidities. Kidney function evaluation using serum creatinine levels before contrast administration leads to increased length of stay and delayed patient care. …”
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Enhanced Efficiency in SMEs Attendance Monitoring: Low Cost Artificial Intelligence Facial Recognition Mobile Application by Hong-Danh Thai, Yeong-Seok Seo, Jun-Ho Huh

“…Applying advanced technologies in human resources can enable organizations to address these challenges effectively. …”
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Application of Deep Dictionary Learning and Predefined Filters for Classification of Retinal Optical Coherence Tomography Images by Fariba Shaker, Zahra Baharlouei, Gerlind Plonka, Hossein Rabbani

“…In recent years, deep learning methods have excelled in Optical Coherence Tomography (OCT) image classification but demand high computational resources and extensive training data. We propose two effective methods for OCT image classification, combining the strength of deep learning with sparse representation of significant image features for improved detection of retinal abnormalities. …”
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Application of Artificial Intelligence in rheumatic disease classification: an example of ankylosing spondylitis severity inspection model by Chih-Wei Chen, Hao-Hung Tsai, Chao-Yuan Yeh, Cheng-Kun Yang, Hsi-Kai Tsou, Pui-Ying Leong, James Cheng-Chung Wei

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Non-Targeted Lipidomics Analysis of Characteristic Milk Using High-Resolution Mass Spectrometry (UHPLC-HRMS) by Tingting Wei, Tianxiao Zhou, Shenping Zhang, Zhexue Quan, Yang Liu

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