Forensic technology: concepts, objectives and principles by V. M. Kyselov

“…Forensic technology is based on scientific principles and technologies and includes many different methods, such as ballistics, fingerprinting, DNA analysis, document examination, photography, video recording, etc. …”
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Simultaneous Recognition of Species, Quality Grades, and Multivariate Calibration of Antioxidant Activities for 12 Famous Green Teas Using Mid- and Near-Infrared Spectroscopy Coupl... by Haiyan Fu, Ou Hu, Lu Xu, Yao Fan, Qiong Shi, Xiaoming Guo, Wei Lan, Tianming Yang, Shunping Xie, Yuanbin She

“…In this paper, mid- and near-infrared spectroscopy fingerprints were combined to simultaneously discriminate 12 famous green teas and quantitatively characterize their antioxidant activities using chemometrics. …”
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GENETIC DIVERSITY INVESTIGATION AND MOLECULAR MARKERS ESTABLISHMENT FOR IDENTIFICATION OF SEVERAL INITIALLY SELECTIVE AVOCADO (Persea americana Miller) STRAINS IN LAMDONG PROVINCE by Lê Ngọc Triệu, Nguyễn Hoàng Phong, Mai Tiến Đạt, Thái Thạch Bích, Nguyễn Thanh Tiền, Lê Đình Vĩnh Bảo, Nguyễn Khắc Quang, Phan Ngọc Quỳnh Như

“…Also with the same 10 ISSR primers, DNA fingerprints recorded from 18 samples (3 samples per strain) including 98 electrophoresis DNA band were used for identification 06 investigated avocado strains. …”
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Transformer-generated atomic embeddings to enhance prediction accuracy of crystal properties with machine learning by Luozhijie Jin, Zijian Du, Le Shu, Yan Cen, Yuanfeng Xu, Yongfeng Mei, Hao Zhang

“…Here, we proposed an atomic embedding strategy called universal atomic embeddings (UAEs) for their broad applicability as atomic fingerprints, and generated the UAE tensors based on the proposed CrystalTransformer model. …”
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MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction by Dhekra Saeed, Huanlai Xing, Barakat AlBadani, Li Feng, Raeed Al-Sabri, Monir Abdullah, Amir Rehman

“…MGATAF improves drug representation by integrating SMILES and fingerprints, resulting in more precise predictions of drug effects. …”
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MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks by Jianwei Li, Xukun Zhang, Bing Li, Ziyu Li, Zhenzhen Chen

“…Firstly, MDFGNN-SMMA extracted features of Atom Pairs fingerprints and Molecular ACCess System fingerprints to derive fusion feature vectors for small molecules (SMs). …”
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Indoor Pedestrian Positioning Tracking Algorithm with Sparse Anchor Nodes by Zhou Yong, Cai Zehui, Chen Pengpeng

“…In order to solve the indoor pedestrian positioning and tracking problems under the condition of sparse anchor nodes, this paper presents a new tracking scheme which predicts the staff position under the condition of indoor location fingerprints based on particle filter. In the proposed algorithm, the indoor topology is adopted to constrain and correct the results. …”
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Distinguishing Smilax glabra and Smilax china rhizomes by flow-injection mass spectrometry combined with principal component analysis by Liang Jian, Zhou Meng, Li Lin-Yu, Shu Ji-Cheng, Liang Yong-Hong, Li Feng-Qin, Xiong Li, Huang Hui-Lian

“…The proposed method employed an electrospray-time-of-flight MS. The MS fingerprints were analyzed using principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) with the aid of SIMCA software. …”
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Genetic polymorphism of local Abkhazian grape cultivars by E. T. Ilnitskaya, M. V. Makarkina, I. V. Stepanov, I. I. Suprun, S. V. Tokmakov, V. Ch. Aiba, M. A. Avidzba, V. K. Kotlyar

“…The obtained DNA profiles of the Abkhazian cultivars were checked for compliance with DNA-fingerprints of grape varieties in the Vitis International Variety Catalogue. …”
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MICROSATELLITES-BASED EVALUATION OF THE PEAR CULTIVARS SELECTED FROM NIKITSKY BOTANICAL GARDENS GERMPLASM BY THEIR ECONOMICALLY VALUABLE CHARACTERISTICS by Y. V. Plugatar, R. D. Babina, I. I. Suprun, T. S. Naumenko, Y. I. Alekseev

“…This evaluation research helped estimate genetic relations inside the studied sample collection of genotypes. The SSR-fingerprints of the cultivars obtained will be used as a starting material for the creation of DNA-passports database of the “NBG – NSC” Gene Fund collection of pear cultivars.…”
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A Comparative Study of Cross-Device Finger Vein Recognition Using Classical and Deep Learning Approaches by Tuğçe Arıcan, Raymond Veldhuis, Luuk Spreeuwers, Loïc Bergeron, Christoph Busch, Ehsaneddin Jalilian, Christof Kauba, Simon Kirchgasser, Sébastien Marcel, Bernhard Prommegger, Kiran Raja, Raghavendra Ramachandra, Andreas Uhl

“…The findings emphasise the importance of standardisation of finger vein recognition, similar to that of fingerprints or irises, crucial for achieving inter-operability. …”
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Advanced Real-Time Indoor Tracking Based on the Viterbi Algorithm and Semantic Data by Jens Trogh, David Plets, Luc Martens, Wout Joseph

“…The starting point is a fingerprinting technique for which an advanced network planner is used to automatically construct the radio map, avoiding a time consuming measurement campaign. …”
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FT-IR Spectroscopy Applied for Identification of a Mineral Drug Substance in Drug Products: Application to Bentonite by H. Ouhaddouch, A. Cheikh, M. O. B. Idrissi, M. Draoui, M. Bouatia

“…The different spectra were compared with each other in order to determine fingerprints of bentonite represented by bands located at 3632 cm−1 and 3437 cm−1. …”
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Diagnosis and Pharmacological Management of Small Intestinal Bacterial Overgrowth in Children with Intestinal Failure by Bushra A Malik, Yuan Y Xie, Eytan Wine, Hien Q Huynh

“…Culture of small intestinal aspirates, noninvasive breath tests and an emerging interest in quantitative bacterial DNA fingerprinting are discussed. Proper management is critical for preventing the recurrence of small intestinal bacterial overgrowth and its related complications. …”
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Analytical Tools and Databases for Metagenomics in the Next-Generation Sequencing Era by Mincheol Kim, Ki-Hyun Lee, Seok-Whan Yoon, Bong-Soo Kim, Jongsik Chun, Hana Yi

“…It is evident that metagenomics will be a standard tool for studying the diversity and function of microbes in the near future, as fingerprinting methods did previously. As the speed of data accumulation is accelerating, bioinformatic tools and associated databases for handling those datasets have become more urgent and necessary. …”
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Fast Differential Analysis of Propolis Using Surface Desorption Atmospheric Pressure Chemical Ionization Mass Spectrometry by Xue-yong Huang, Xia-li Guo, Huo-lin Luo, Xiao-wei Fang, Teng-gao Zhu, Xing-lei Zhang, Huan-wen Chen, Li-ping Luo

“…Mass spectral fingerprints of 24 raw propolis samples, including 23 from China and one from the United States, were directly obtained using surface desorption atmospheric pressure chemical ionization mass spectrometry (SDAPCI-MS) without sample pretreatment. …”
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Fractional-Order Memristor Emulator Circuits by C. Sánchez-López, V. H. Carbajal-Gómez, M. A. Carrasco-Aguilar, I. Carro-Pérez

“…This demonstrates that FOM emulator circuits can also be configured at incremental or decremental mode and the main fingerprints of an integer-order memristor are also holding up for FOMs. …”
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Human‐Induced Climate Change Intensifies Extreme Precipitation Events in Central China's Urban Areas by Yufan Chen, Shuyu Zhang, Hong Wang, Deliang Chen, Junguo Liu

“…Using advanced techniques such as deep learning and optimal fingerprinting, this study identifies and analyzes the physical mechanisms behind the extreme precipitation. …”
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Gender Classification Based on Iris Recognition Using Artificial Neural Networks by Basna Mohammed Salih, Adnan Mohsin Abdulazeez, Omer Mohammed Salih Hassan

“… Biometric authentication is one of the most quickly increasing innovations in today's world; this promising technology has seen widespread use in a variety of fields, including surveillance services, safe financial transfers, credit-card authentication. in biometric verification processes such as gender, age, ethnicity is iris recognition technology is considered the most accurate compared to other vital features such as face, hand geometry, and fingerprints.  Because the irises in the same person are not similar. …”
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Support Vector Machine for Behavior-Based Driver Identification System by Huihuan Qian, Yongsheng Ou, Xinyu Wu, Xiaoning Meng, Yangsheng Xu

“…Since human driving behaviors belong to a dynamic biometrical feature which is complex and difficult to imitate compared with static features such as passwords and fingerprints, we find that this novel idea of utilizing human dynamic features for enhanced security application is more effective. …”
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