Identification Process Research Articles

Trajectories of the notion of liminality: Identity, border, threshold, affectivity and spatio-temporal processes of transformation

Trajectories of the notion of liminality: Identity, border, threshold, affectivity and spatio-temporal processes of transformation

Literature Study: The Effect of The Problem-Based Learning Model Assisted by The Flipped Classroom on Mathematical Creative Thinking Ability

The development of mathematical creative thinking abilities is a crucial goal in modern education, as these skills enable students to approach complex problems innovatively and adapt to diverse challenges. However, traditional teaching methods often fail to nurture creativity, focusing instead on rote learning and procedural tasks. This study aims to investigate the impact of integrating the Problem-Based Learning (PBL) model and the Flipped Classroom approach on enhancing students' mathematical creative thinking abilities. The research employs a Systematic Literature Review (SLR) methodology, analyzing previous studies that explore the effects of these pedagogical strategies individually and in combination. Data were collected and synthesized through a rigorous process of identification, screening, and inclusion based on predefined criteria. The findings reveal that the integration of PBL and the Flipped Classroom significantly improves students' flexibility, originality, and ability to generate innovative solutions in mathematics. PBL fosters collaborative problem-solving and real-world application, while the Flipped Classroom prepares students with foundational knowledge, allowing class time to focus on exploration and creativity. This research highlights the potential of innovative teaching models to transform mathematics education by creating dynamic and student-centered learning environments. The results provide valuable insights for educators seeking to foster higher-order thinking skills and creativity in their students.

Determinants and key indicators of concussion in combat sport athletes: a systematic review

Introduction: Combat sport athletes are more likely to suffer concussions because one of the goals is to knock out an opponent and apply blows during the fight. Objective: To analyze the mechanisms of concussion specific to combat sports and identify the most prevalent signs and symptoms that affect athletes after concussion. Methods: The PRISMA protocol was applied, searches were performed in electronic databases using the descriptors: Athletes, Fighting, Martial Arts, Combat Sports, Concussion, Brain Concussion, Traumatic Brain Injury, Physical Symptoms and Motivational Symptoms. The identification and peer selection process were performed using the Rayyan software. We then extracted the articles which met the eligibility criteria for qualitative analysis, using the Risk of Bias Used for Surveys tool. Results: A total of 912 articles were identified, 90 duplicates and 81 bibliographic reviews, leaving 65 articles for reading the abstracts. Of these, 46 were excluded according to the eligibility criteria, including 19 articles. Regarding exposure to concussion, 70.2% were related to the number of fights performed and 29.8% fighters. The sports modalities were 45.5% MMA, 18.2% boxing, 9.1% taekwondo, 9.1% karate and 9.1% kickboxing. The injuries found were divided into 27.2% traumatic brain injury and 72.8% concussion. According to the signs and symptoms identified, 55.2% were physical and 44.8% motivational. Conclusion: The frequency of fights is a determining factor for the incidence of concussions in combat sport athletes and the post-concussion symptoms showed significant physical and motivational manifestations, which represent barriers to the technical-tactical development of athletes.

A Generalized Machining Process Damping Model for Orthogonal Cutting

Abstract Chatter vibrations in machining degrade the surface quality, cause premature tool and machine failures, and reduce the productivity. The dynamic interference between the cutting tool and the wavy part surface damps the machining process in the presence of vibrations. Machining process damping improves the chatter stability especially for difficult-to-cut materials and is even more pronounced via optimized cutting edge geometries. However, there is not any analytical model that can consider arbitrary edge profiles in modeling the process damping. This study introduces a new generalized analytical model to predict the process damping forces for any two-dimensional cutting edge geometries by taking the vibration parameters, work material properties, cutting conditions, and cutting edge geometry into account. That is achieved by discretizing the tool–workpiece contact using a series of springs with a nonlinear Winkler foundation and by employing a material constitutive model to describe the behavior of the deformed springs beyond elasticity. The process damping force is calculated from the contact pressure between the edge and the work material and linearized with an equivalent viscous damper dissipating the same energy. The proposed model has been verified experimentally and numerically for different tool geometries. It is demonstrated that the model can eliminate the time-intensive experimental and numerical identification of process damping coefficients and can digitalize the design phase of cutting tools by rapidly evaluating their machining dynamics performance in place of physical tests.

Development and Validation of Child Observation Checklist for Early Screening of Young Children with Special Needs

Background: Families with young children with developmental disabilities often express concerns about delays in the identification of these and extended waiting times for obtaining assessments, learning support, and rehabilitation services. The identification process must and can be enhanced if preschool teachers have instrumental measures to detect early-stage developmental disabilities and adjustment difficulties in preschool children and, if necessary, to provide these children with prompt and effective support services. Aims: The aim with this study was to develop and validate a screening checklist for teachers to detect developmental delays and adjustment difficulties in Chinese preschool children in Hong Kong. Methods: The participants included 1085 children aged two to six years (including 365 children who were receiving rehabilitation services at the time of the study) and their preschool teachers. The teachers were requested to complete the screening checklist and the Strengths and Difficulties Questionnaire. Results: The results of the Rasch and Confirmatory Factor Analyses supported the unidimensionality of the checklist, with the validated version consisting of fifteen items and five factors. The checklist score was negatively correlated with children’s behavioral problems and effectively differentiated children of different ages and between children receiving and not receiving rehabilitation services. The reliability estimates (internal consistency and test–retest) of this revised checklist were above 0.70. Conclusions: The 15-item checklist is a promising screening instrument for the identification of developmental disabilities and adjustment problems among Chinese preschool children. The use of the checklist has accelerated access to rehabilitation services for children and family caregivers.

Unlocking Platelet Mechanisms through Multi-Omics Integration: A Brief Review.

Platelets, tiny cell fragments measuring 2-4 μm in diameter without a nucleus, play a crucial role in blood clotting and maintaining vascular integrity. Abnormalities in platelets, whether genetic or acquired, are linked to bleeding disorders, increased risk of blood clots, and cardiovascular diseases. Advanced proteomic techniques offer profound insights into the roles of platelets in hemostasis and their involvement in processes such as inflammation, metastasis, and thrombosis. This knowledge is vital for drug development and identifying diagnostic markers for platelet activation. Platelet activation is an exceptionally rapid process characterized by various posttranslational modifications, including protein breakdown and phosphorylation. By utilizing multiomics technologies and biochemical methods, researchers can thoroughly investigate and define these posttranslational pathways. The absence of a nucleus in platelets significantly simplifies mass spectrometry-based proteomics and metabolomics, as there are fewer proteins to analyze, streamlining the identification process. Additionally, integrating multiomics approaches enables a comprehensive examination of the platelet proteome, lipidome, and metabolome, providing a holistic understanding of platelet biology. This multifaceted analysis is critical for elucidating the complex mechanisms underpinning platelet function and dysfunction. Ultimately, these insights are crucial for advancing therapeutic strategies and improving diagnostic tools for platelet-related disorders and cardiovascular diseases. The integration of multi-omics technologies is paving the way for a deeper understanding of platelet mechanisms, with significant implications for biomedical research and clinical applications.

Sistem Informasi Pemeliharaan Meter Solusiefisien dalam Manajemen Alat Ukur di PLN Ranting Cabang Kisaran

Meter management and maintenance play a critical role in ensuring billing accuracy and operational efficiency at PLN, particularly in the Kisaran Branch Office. The manual system currently employed often encounters challenges such as inconsistent data recording, delays in maintenance, and a lack of information transparency. To address these issues, a Meter Maintenance Information System has been designed as an efficient solution for managing measuring instruments.This system is designed to support meter data recording, maintenance schedule monitoring, maintenance history logging, and real- time reporting of meter conditions. Utilizing web-based technology and a centralized database, the system integrates meter data from various locations, facilitating decision- making for technical staff. Implementation results indicate that the Meter Maintenance Information System can improve management efficiency by up to 40%, reduce recording errors, and accelerate the identification process of meter damage. Furthermore, the system supports operational cost efficiency by optimizing maintenance schedules. Thus, this system is expected to serve as a strategic step for PLN to enhance service quality for its customers.

New Library-Based Methods for Nontargeted Compound Identification by GC-EI-MS.

While gas chromatography mass spectrometry (GC-MS) has long been used to identify compounds in complex mixtures, this process is often subjective and time-consuming and leaves a large fraction of seemingly good-quality spectra unidentified. In this work, we describe a set of new mass spectral library-based methods to assist compound identification in complex mixtures. These methods employ mass spectral uniqueness and compound ubiquity of library entries alongside noise reduction and automated comparison of retention indices to library compounds. As a test data set, we used a publicly available electron ionization mass spectrometry data set consisting of 4833 spectra of particulate organic compounds emitted by combustion of wildland fuels. In the present work, spectra in this data set were first identified using the NIST 2023 EI-MS Library and associated batch process identification software (NIST MS PepSearch) using retention-index corrected Identity Search scoring. Resulting identifications and related information were then employed to parametrize other factors that correlate with identification. A method for identifying compounds absent from but related to those present in mass spectral libraries using the Hybrid Similarity Search is illustrated. Nevertheless, some 90% of the spectra remain unidentified. Through comparison of unidentified to identified mass spectra in this data set, a new simple measure, namely median relative abundance, was developed for evaluating the likelihood of identification.

Maternal Supplementation of Dietary Choline and Docosahexaenoic Acid during Gestational Nutrition Restriction Alters Hepatic mRNA and miRNA Expression Patterns in Full-Term Fetal Pigs.

Supplementing choline and docosahexaenoic acid (DHA) to pregnant gilts modified fetal pig hepatic global DNA methylation induced by gestational malnutrition, suggesting that gene expression and regulation and its associated metabolic pathways are affected in the liver of offspring during growth and development. To investigate the effect of maternal supplementation of choline, DHA and their interaction on hepatic mRNA expression, miRNA regulation and metabolic pathways in the fetal pigs born to malnourished mothers. The abundance of mRNA and miRNA was profiled in fetal liver from sows with undernutrition supplemented with choline and DHA in a 2 × 2 factorial design. The effects of choline, DHA, and their interaction on mRNA and miRNA expression were evaluated. Identification of the Biological Processes from the Gene Ontology database and miRNA Target Prediction Analysis were performed using the DAVID Functional Annotation Tool and Ingenuity Pathway Analysis. The identified miRNA-mRNA pairings were validated using RT-qPCR. 144 mRNA and 1 miRNA were altered by supplementation of choline and the alterations were associated with the inhibitions of cardiac hypertrophy signaling, IL-6 signaling, IL-3 signaling, the Th1 pathway, and the acute phase response signaling pathway. 151 mRNAs and 6 miRNAs were altered by maternal supplementation DHA and were associated with inhibition of 5 inositol-related pathways, 5 immune-related pathways, and 7 other pathways and the stimulation of PPAR signaling and RhoGDI signaling pathways. 383 mRNAs and 25 miRNAs displayed choline x DHA interactions including synergistic effects on acute phase response signaling, and antagonistic effects on tRNA splicing, PPARα/RXRα activation, and sirtuin signaling, NAD signaling and RNA polymerase I transcription pathways. 10 of the identified 20 miRNA-mRNA pairings were validated using RT-qPCR. We identified and confirmed that supplementation of choline, DHA or choline plus DHA to pregnant gilts modifies liver mRNA, miRNA, and pathways in fetal pigs during gestational undernutrition.

Microbial Inoculants in Sustainable Agriculture: Advancements, Challenges, and Future Directions

The rapid growth of the human population has significantly increased the demand for food, leading to the intensification of agricultural practices that negatively impact the environment. Climate change poses a significant threat to global food production, as it can disrupt crop yields and modify the lifecycle stages of phytopathogens and pests. To address these challenges, the use of microbial inoculants, which are bioproducts containing beneficial microorganisms known as plant growth promotion microorganisms (PGPMs), has emerged as an innovative approach in sustainable agriculture. This review covers the isolation and identification of beneficial strains, the screening and selection process, the optimization of production techniques, and the importance of quality control and field testing. It also discusses the key points for the development and formulation of high-quality microbial inoculants, as well as highlights their advancements, current challenges, and future directions for research and application.

Pulsed Electric Field Induces Significant Changes in the Metabolome of Fusarium Species and Decreases Their Viability and Toxigenicity

Fusarium fungi are widespread pathogens of food crops, primarily associated with the formation of mycotoxins. Therefore, effective mitigation strategies for these toxicogenic microorganisms are required. In this study, the potential of pulsed electric field (PEF) as an advanced technology of increasing use in the food processing industry was investigated to minimize the viability of Fusarium pathogens and to characterize the PEF-induced changes at the metabolomic level. Spores of four Fusarium species (Fusarium culmorum, Fusarium graminearum, Fusarium poae, and Fusarium sporotrichioides) were treated with PEF and cultured on potato dextrose agar (PDA) plates. The viability of the Fusarium species was assessed by counting the colony-forming units, and changes in the mycotoxin content and metabolomic fingerprints were evaluated by using UHPLC-HRMS/MS instrumental analysis. For metabolomic data processing and compound identification, the MS-DIAL (v. 4.80)–MS-CleanR–MS-Finder (v. 3.52) software platform was used. As we found out, both fungal viability and the ability to produce mycotoxins significantly decreased after the PEF treatment for all of the species tested. The metabolomes of the treated and untreated fungi showed statistically significant differences, and PEF-associated biomarkers from the classes oxidized fatty acid derivatives, cyclic hexapeptides, macrolides, pyranocoumarins, carbazoles, and guanidines were identified.

The utility of parent’s and teacher’s concerns for the screening of speech sound disorders: A study on French-speaking preschool children

ABSTRACT Speech sound disorders (SSD) are associated with difficulties in communication, social participation, literacy, and learning. An early identification process is therefore necessary. Our study was aimed at determining the utility and accuracy of parent’s and teacher’s concerns in screening for SSD. We also aimed to determine whether the accuracy of parent’s and teacher’s concern varied according to kindergarten grades. For this study, 215 French-speaking preschool children were recruited from preschools. Eighty children were classified as SSD and 135 were classified as Typically Developing (TD). Children were assessed by a standardised single-word speech sound test. Parents and teachers expressed their level of concern about each child’s speech development by answering ‘no’, ‘a little’ or ‘yes’ to the same question about their concern. Parents’ and teachers’ concerns were also gathered in a variable called ‘joint concern’ to investigate the utility and accuracy of their combined concern. Analyses included tetrachoric correlations, logistic regressions, Kruskal–Wallis tests, and sensibility/specificity analyses. Analyses were employed across all children and within age groups. Results showed positive and significant correlations between the SSD-TD classification, parent’s concern, teacher’s concern and joint concern. Parents’ and teachers’ concerns both showed fair specificity rates (85.2% and 88.1%, respectively) but remained under 80% on sensitivity. The joint concern was the most sensitive measure of all (87.3%) but showed a low specificity rate (76.3%). In conclusion, parents’ and teachers’ concerns both emerged as useful measures for screening for SSD. The combination of their concern revealed how parents and teachers are complementary for SSD screening.

Sociodemographic Differences Impact the Perceived Importance of Social Communication and Interaction Behaviors.

The evaluation of social communication and interaction (SC/I) behaviors is foundational to the autism identification process. However, this type of evaluation is made difficult by the fact that SC/I is a construct in which perceptions and expectations are largely influenced by norms and attitudes of different sociodemographic groups. While there are many factors that influence differences in SC/I behaviors across sociodemographic groups, one factor that may be especially important is the perceived value of these behaviors. The purpose of this study is to investigate which sociodemographic factors influence the perceived importance of SC/I behaviors among caregivers of children and adolescents. Caregivers (n = 398) living in the United States completed the Social Communication and Interaction Perceptions Scale (SCIPS). Linear mixed-effect models were used to investigate the relationship between the perceived importance of SC/I behaviors and seven sociodemographic factors as well as determine if this relationship was moderated by SC/I behavior type (i.e., foundational vs. advanced behaviors). Several different sociodemographic factors (i.e., caregiver race/ethnicity, caregiver gender, household income, child disability status, child age, child gender) were associated with caregiver ratings of the perceived importance of SC/I behaviors. This relation was, in some instances (i.e., caregiver race/ethnicity, caregiver gender, child disability status), moderated by whether the SC/I behaviors were foundational or advanced. Our findings highlight the importance of considering the values of caregivers regarding perceived SC/I importance during the autism identification process.

Lighting Up Dual-Aptamer-Based DNA Logic-Gated Series Lamp Probes with Specific Membrane Proteins for Sensitive and Accurate Cancer Cell Identification.

Accurate identification of cancer cells under complex physiological environments holds great promise for noninvasive diagnosis and personalized medicine. Herein, we developed dual-aptamer-based DNA logic-gated series lamp probes (DApt-SLP) by coupling a DNA cell-classifier (DCC) with a self-powered signal-amplifier (SSA), enabling rapid and sensitive identification of cancer cells in a blood sample. DCC is endowed with two extended-aptamer based modules for recognizing the two cascade cell membrane receptors and serves as a DNA logic gate to pinpoint a particular and narrow subpopulation of cells from a larger population of similar cells. DCC leverages a dual-receptor co-recognition strategy for enhanced specificity of cell identification by performing the matching operation between aptamer and receptor twice on cell membranes. SSA is a signal converter attached at the end of DCC that changes the cell identification process into detectable signals, as well as a signal amplifier to output amplified signals by using a simple and efficient hybridization chain reaction. Unique from those who are multicomponent systems, DApt-SLP is an all-in-one compact DNA nanodevice, exhibiting an enhanced nuclease-degradation resistance and targeting ability. In vitro feasibility, cell imaging, and flow cytometry analysis showed that the DApt-SLP system successfully operated under buffered solution and physiological environment and precisely differentiated the target cell from large populations of similar cells. Benefiting from its integrated design and single-step cancer cell identification with high sensitivity and accuracy, the DApt-SLP system is a practical tool in personalized medicine and biomedical engineering.

Recurrent atrial fibrillation markers post radiofrequency catheter ablation.

Atrial fibrillation (AF), the most common type of heart arrhythmia, is recognized as an independent risk factor for stroke. Fortunately, catheter ablation (CA) offers an effective treatment option for AF patients. However, numerous studies have reported suboptimal outcomes, as AF recurrence rates often remain elevated even after CA. Consequently, there exists a need for early identification of patients prone to recurrence, necessitating anti-inflammatory and/or antiarrhythmic treatment post-CA. The discovery and application of markers associated with AF recurrence could significantly aid in this early identification process. In this review, we present an overview of AF recurrence markers from three distinct perspectives (biochemical, imaging, and electrocardiographic markers).

Synthesis of Guidelines for Strengthening Good Teacher Characteristics of Teachers in Schools

The objective of this research is to synthesize guidelines for enhancing good teacher characteristics of teachers in schools affiliated with the Sisters of St. Paul de Chartres of Thailand, by collecting and analyzing relevant concepts, principles, and theories from experts with knowledge and expertise in developing and training personnel in the teaching profession and used semi-structured interviews to collect data. The interview form had an index of consistency between 0.80 - 1.00. The data was content analyzed according to Miles and Huberman's guidelines. The results of the lessons learned from the guidelines for creating a manual to enhance the good characteristics of teachers at St. Paul de Chartres School in Thailand. It can be summarized, as consisting of 4 main processes: 1) Enhancing competencies’ Process from actual practice, consist of 2 main indicators. 2) Enhancing skills’ Process for peaceful coexistence, consists of 3 main indicators. 3) Strengthening teachers' identity Process and professionalism consists of 6 main indicators, 6 indicators, and 4) Evaluation Process and results monitoring. Developing a manual to enhance the good teachers’ characteristics can happen when each process is carried out in detail and systematically.

Acute suppurative thyroiditis in a child secondary to pyriform sinus fistula: From single case to systematic review.

Acute suppurative thyroiditis (AST), a rare yet potentially life-threatening infection, comprises less than 1% of neck pathologies and requires prompt treatment. Symptoms range from neck pain and fever to dysphagia and possible abscess formation. Broad-spectrum antibiotics are the primary treatment; however, surgical drainage may be necessary for abscesses to prevent systemic infection. Following acute management, identifying underlying anomalies such as branchial arch defects that predispose to recurrence is crucial. Diagnostic tools like barium swallow or transnasal fiberoptic laryngoscopy aid in this identification process. Recurrent AST or left-sided neck abscesses often prompt investigation for fourth branchial arch anomalies like pyriform sinus fistula, which may require surgical correction to prevent future infections. This paper presents the case of a 5-year-old with left torticollis, odynophagia, and fever, previously treated for a deep neck abscess with antibiotics. Ultrasound and CT scans revealed a left thyroid lobe abscess, confirmed by barium swallow to be associated with a pyriform sinus fistula. Supported by a literature review, this case highlights the importance of a systematic approach to AST management to guide clinicians in effectively treating this uncommon condition.

KIC 4150611: A quadruply eclipsing heptuple star system with a g-mode period-spacing pattern

Context. KIC 4150611 is a high-order (seventh-order) multiple composed of a triple system with: a F1V primary (Aa), which is eclipsed on a 94.2 d period by a tight binary composed of two K/M dwarfs (Ab1 and Ab2) that also eclipse each other; an eccentric, eclipsing binary composed of two G stars (Ba and Bb); and another faint eclipsing binary composed of two stars of unknown spectral type (Ca and Cb). In addition to its many eclipses, the system is an triple-lined spectroscopic multiple (Aa, Ba, and Bb) and the primary (Aa) is a hybrid pulsator that exhibits high amplitude pressure and gravity modes (g-modes). Furthermore, its g-modes are arrayed in a period-spacing pattern, which greatly assists with mode identification and asteroseismic modelling. In aggregate, this richness in physics offers an excellent opportunity to obtain a precise physical characterisation for some of the stars in this system. Aims. In this work we estimate the stellar parameters of the primary (Aa) by performing asteroseismic analysis on its period-spacing pattern. Methods. We used the C-3PO neural network to perform asteroseismic modelling of the g-mode period-spacing pattern of Aa, examining the interplay of this information with external constraints from spectroscopy (Teff and log(g)) and eclipse modelling (R). To estimate the level of uncertainty due to different frequency extraction and pattern identification processes, we considered four different variations of the period-spacing patterns. To better understand the correlations between and the uncertainty structure of our parameter estimates, we also employed a classical, parameter-based Markov chain Monte Carlo (MCMC) grid search on four different stellar grids. Results. The externally constrained model that best fits the period-spacing pattern arrives at estimates of the stellar properties for Aa of M = 1.51 ± 0.05 M⊙, Xc = 0.43 ± 0.04, R = 1.66 ± 0.1 R⊙, fov = 0.010, Ωc = 1.58 ± 0.01 d−1 with rigid rotation to within the measurement errors, log(Teff) = 3.856 ± 0.008 dex, log(g) = 4.18 ± 0.04 dex, and log(L) = 0.809 ± 0.005 dex, which agree well with previous measurements from eclipse modelling, spectroscopy, and the Gaia DR3 luminosity. Conclusions. We find that the near-core properties of the best-fitting asteroseismic models are consistent with external constraints from eclipse modelling and spectroscopy. For stellar properties not related to the near-core region, external constraints on the asteroseismic best-fitting models are informative. Aa appears to be a typical example of a γ Dor star, fitting well within existing populations. We find that Aa is quasi-rigidly rotating to within the uncertainties, and note that the asteroseismic age estimate for Aa (1100 ± 100 Myr) is considerably older than the young age (35 Myr) implied by previous isochrone fits to the B binary in the literature. Our MCMC parameter-based grid search agrees well with our pattern-modelling approach. Improved future modelling could come from detailed coverage of metallicity effects and a careful treatment of envelope physics.

A three-phase model to keyword detection in Arabic corpora

The exponential growth of Arabic text data in recent years has created an urgent demand for sophisticated keyword detection techniques that are specifically tailored to the nuances of the Arabic language. This study addresses the critical need for efficient tools capable of swiftly and accurately identifying keywords within a collection of Arabic documents, particularly when analyzing multiple documents in a corpus. To meet this challenge, we present a novel corpus specifically designed for keyword detection in Arabic texts, along with an innovative approach that integrates three distinct candidate keyword lists: a frequency-based list, a vector space model list, and a machine learning-based list. This hybrid methodology leverages the strengths of each technique, enabling a more comprehensive and effective keyword identification process. We conducted extensive experimental validation to assess the performance and computational efficiency of our proposed pipeline. The results demonstrate that our approach consistently achieves robust performance across a variety of domains, with evaluation metrics indicating F1-scores that consistently surpass 91%. Overall, this study contributes to the advancement of automated keyword detection in Arabic, paving the way for enhanced information retrieval and text analysis capabilities.

Persistent luminescence encoding for rapid and accurate oral-derived bacteria identification

The dysbiosis of oral microbiota contributes to diseases such as periodontitis and certain cancers by triggering the host inflammatory response. Developing methods for the immediate and sensitive identification of oral microorganism is crucial for the rapid diagnosis and early interventions of associated diseases. Traditional methods for microbial detection primarily include the plate culturing, polymerase chain reaction and enzyme-linked immunosorbent assay, which are either time-consuming or laborious. Herein, we reported a persistent luminescence-encoded multiple-channel optical sensing array and achieved the rapid and accurate identification of oral-derived microorganisms. Our results demonstrate that electrostatic attractions and hydrophobic-hydrophobic interactions dominate the binding of the persistent luminescent nanoprobes to oral microorganisms and the microbial identification process can be finished within 30 min. Specifically, a total of 7 oral-derived microorganisms demonstrate their own response patterns and were differentiated by linear discriminant analysis (LDA) with the accuracy up to 100% both in the solution and artificial saliva samples. Moreover, the persistent luminescence encoded array sensor could also discern the microorganism mixtures with the accuracy up to 100%. The proposed persistent luminescence encoding sensor arrays in this work might offer new ideas for rapid and accurate oral-derived microorganism detection, and provide new ways for disease diagnosis associated with microbial metabolism.