Advances in Surface-Enhanced Raman Spectroscopy for Therapeutic Drug Monitoring by Huasheng Lai, Xinlan Wang, Menghan Qi, Hao Huang, Bingqiong Yu

“…Surface-enhanced Raman spectroscopy (SERS) has shown great potential in TDM due to high sensitivity, non-destructive analysis, specific fingerprint spectrum, low sample consumption, simple operation, and low ongoing costs. …”
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Weakening of subsurface ocean temperature seasonality over the past four decades by Fukai Liu, Yiyong Luo, Fengfei Song, Wen-Xiao Yu, Jian Lu, Lijing Cheng

“…Our findings highlight a new fingerprint of anthropogenic influence on subsurface ocean seasonality, with important implications for ocean biogeochemical processes and marine ecosystems.…”
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Machine-learning crystal size distribution for volcanic stratigraphy correlation by Martin Jutzeler, Rebecca J. Carey, Yasin Dagasan, Andrew McNeill, Ray A. F. Cas

“…Here we present a novel technique based on machine learning identification of crystal size distribution to quantitatively fingerprint lavas, shallow intrusions and coarse lava breccias. …”
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A Culture-Proven Case of Community-Acquired Legionella Pneumonia Apparently Classified as Nosocomial: Diagnostic and Public Health Implications by Annalisa Bargellini, Isabella Marchesi, Patrizia Marchegiano, Luca Richeldi, Roberto Cagarelli, Greta Ferranti, Paola Borella

“…We found that the clinical strain had identical rep-PCR fingerprint of L. pneumophila serogroup 1 isolated at home. …”
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Metabolome profiling dissects the oat (Avena sativa L.) innate immune response to Pseudomonas syringae pathovars. by Chanel J Pretorius, Paul A Steenkamp, Ian A Dubery

“…The metabolome acts as a metabolic fingerprint of the biochemical activities of a biological system under particular conditions, and therefore provides a functional readout of the cellular mechanisms involved. …”
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Charge heterogeneity of therapeutic monoclonal antibodies by different cIEF systems: views on the current situation by Alessandro Ascione, Marcello Belfiore, Jaana Vesterinen, Mihaela Buda, Wolf Holtkamp, Francesca Luciani

“…Therapeutic mAbs show a specific “charge fingerprint” that may affect safety and efficacy, and, as such, it is often identified as a critical quality attribute (CQA). …”
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Isolation, Culture, and Characterization of Primary Kidney Fibroblasts from Human Patients with Chronic Antibody-mediated Kidney Transplant Rejection by Mantabya Kumar Singh, Mohit Kumar Rai, Vikas Agarwal, Narayan Prasad

“…Results: An inverted microscope imaging shows the fibroblast cells during the first passage at 14th day, the cells were characterized by fingerprint monolayers when they were more than 80 % confluent. …”
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Designing an internet of things laboratory to improve student understanding of secure IoT systems by A. Ravishankar Rao, Angela Elias-Medina

“…These include barcode scanners, cameras, fingerprint sensors, and pulse sensors. These devices cover important functions such as patient identification, monitoring, and creating electronic health records. …”
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Moving Target Localization in Sports Image Sequence Based on Optimized Particle Filter Hybrid Tracking Algorithm by Yan Guo

“…This paper proposes a fusion stadium positioning algorithm, which uses self-optimizing particle filter to integrate the improved athlete dead reckoning and WiFi position fingerprint algorithm for stadium positioning. In order to determine the initial absolute position of the stadium positioning, for athletes entering the stadium from the outside, a seamless switching algorithm outside the stadium is proposed, using the characteristics of high-altitude satellite GPS to find a suitable switching point as the initial absolute position. …”
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Antioxidant Potential and Phenolic Compounds of Some Widely Consumed Turkish White Bean (Phaseolus vulgaris L.) Varieties by Orak Hakime Hülya, Karamać Magdalena, Orak Adnan, Amarowicz Ryszard

“…Differences in the inhibition of emulsion oxidation by extracts of white bean varieties were slight. The RP-HPLC fingerprint analysis of extracts showed the presence of five dominant phenolic compounds which were described as ferulic or caffeic acids derivatives. …”
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Application of kDNA Minicircle PCR-RFLP to Characterize Leishmania donovani Clinical Isolates Obtained from Post-Kala-Azar Dermal Leishmaniasis in Eastern Nepal by Ojesh Pokhrel, Keshav Rai, Narayan Raj Bhattarai, Suman Rijal, Arpana Rijal, Basudha Khanal

“…All PKDL isolates have the same genetic structure. kDNA PCR-RFLP assay revealed 18 different genotypes; however, structural analysis showed the two distinct kDNA genotype population (k = 2). The kDNA fingerprint patterns of parasites from hilly districts were clustered separately from low-land districts. …”
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Fast handover authentication scheme in 5G mobile edge computing scenarios by Weicheng ZHANG, Hongquan WEI, Shuxin LIU, Liming PU

“…The 5G internet of things brings the ultimate experience to users, but it also puts forward new challenges.Users’ requirements of ultra-low latency experience, access to business without sense during movement and security guarantee have attracted much attention.Mobile edge computing can meet the strict requirements of 5G with low latency, large connection and high bandwidth.As a computing paradigm with the coexistence of multi-trust domains, multi-entities and cross-trust domains are interconnected frequently.Identity authentication is particularly important for security protection.Through the research on the identity authentication mechanism under the existing edge computing paradigm, a lightweight fast handover authentication scheme based on pre-authentication was proposed.The proposed solution moved services and calculations from the cloud to the edge.Biometric fingerprint technology was used on the client side to defend against terminal theft attacks.Edge servers in different regions used pre-authentication scheme to meet fast switching requirements.The user and the edge server established a secure channel by negotiating a shared session key in real time, and the authentication scheme ensured lightweight operation with XOR and hash operation.The proposed scheme was evaluated from two aspects of security and performance.Theoretical design analysis and formal tool verification were carried out for security evaluation.The formal analysis tool, AVISPA, was used to verify the improved security of the proposed scheme in the presence of intruders.The performance was mainly evaluated from the computing cost and communication cost of the authentication scheme.The simulation results showed that the proposed scheme reduces communication cost, and the computational overhead can meet the needs of mobile terminals with limited resources.As the future work, the scheme will be improved from two aspects: one is to strengthen the scalability to ensure that users and edge servers can join and exit at any time, and the other one is to strengthen the universality of the scheme to meet the access deployment of third-party service providers.…”
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Genetic Dissection of Sympatric Populations of Brown Planthopper, Nilaparvata lugens (Stål), Using DALP-PCR Molecular Markers by M. A. Latif, M. Y. Rafii, M. S. Mazid, M. E. Ali, F. Ahmed, M. Y. Omar, S. G. Tan

“…Direct amplified length polymorphism (DALP) combines the advantages of a high-resolution fingerprint method and also characterizing the genetic polymorphisms. …”
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All-Metal Metamaterial-Based Sensor with Novel Geometry and Enhanced Sensing Capability at Terahertz Frequency by Sagnik Banerjee, Ishani Ghosh, Carlo Santini, Fabio Mangini, Rocco Citroni, Fabrizio Frezza

“…At terahertz wavelength, the proposed design can be used for any value of the aforementioned angles, targeting THz spectroscopy-based biomolecular fingerprint detection and energy harvesting applications.…”
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Research Progress in Small-Molecule Detection Using Aptamer-Based SERS Techniques by Li Zheng, Qingdan Ye, Mengmeng Wang, Fan Sun, Qiang Chen, Xiaoping Yu, Yufeng Wang, Pei Liang

“…Surface-enhanced Raman scattering (SERS) spectroscopy is an ultra-sensitive, non-destructive analytical technique that can rapidly acquire the “fingerprint information” of the measured molecules. …”
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MS-Based Analytical Techniques: Advances in Spray-Based Methods and EI-LC-MS Applications by Federica Bianchi, Nicolò Riboni, Veronica Termopoli, Lucia Mendez, Isabel Medina, Leopold Ilag, Achille Cappiello, Maria Careri

“…It can provide molecular weight information and a wealth of structural details that give a unique fingerprint for each analyte. Due to these characteristics, mass spectrometry-based analytical methods are showing an increasing interest in the scientific community, especially in food safety, environmental, and forensic investigation areas where the simultaneous detection of targeted and nontargeted compounds represents a key factor. …”
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Image Quality Assessment Based on Multi-Scale Representation and Shifting Transformer by Geng Fu, Ziyu Wang, Cuijuan Zhang, Zerong Qi, Mingzheng Hu, Shujun Fu, Yunfeng Zhang

“…Image Quality Assessment (IQA) is a crucial metric for intelligent control systems and computer vision tasks, such as surveillance, restoration, and fingerprint identification, significantly advancing algorithm development in these areas. …”
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Gemological and Spectral Characteristics of Gem-Quality Blue Gahnite from Nigeria by Yifang Chen, Junhao Zheng, Mingmei Lu, Ziqi Liu, Zhengyu Zhou

“…The infrared spectra showed midinfrared absorption bands near 510 cm−1, 559 cm−1, and 664 cm−1 in the fingerprint region, corresponding to the Zn-O stretching vibration, bending vibration, and Al-O bending vibration, respectively. …”
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Crude Oil Source Identification of Asphalt via ATR-FTIR Approach Combined with Multivariate Statistical Analysis by Ruibo Ren, Wenmiao Fan, Pinhui Zhao, Hao Zhou, Weikun Meng, Ping Ji

“…The model was established based on diverse fingerprint recognition technologies (such as principal component analysis (PCA) and multivariate logistic regression analysis) by using attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR). …”
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PhyIndBC: Development of a machine learning tool for screening of potential breast cancer inhibitors from phytochemicalsGitHub by Agneesh Pratim Das, Subhash M. Agarwal

“…., k-nearest neighbor (KNN), random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGB) were combined with various molecular fingerprints (MACCS and Morgan2) to develop multiple predictive models. …”
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