Traditional Classification Systems Research Articles

Evaluating Digital Photography for Lip Print Recording: Compatibility With Traditional Classification Systems.

Direct digital photography for lip print recording is a recent trend, and there is a dearth of systematic research on the analysis of the recorded prints with existing clip print classification systems. This study aims to compare the accuracy of the digital photographic method in lip print recording, comparing it with traditional methods, and assessing the suitability of commonly used lip print classification for analyzing lip prints recorded by photographic method. A total of 72 participants aged between 20 and 26 were included. The lip print recording process involved photographing the lips without and with lipstick, followed by recording the lip print with cellophane tape on bond paper. The prints collected using the different methods were analyzed and compared for agreement, and the data were analyzed statistically. Inter-observer reliability was high for all methods (>0.800). The distribution of lip print patterns differed across the methods, suggesting a potential influence of the recording technique. The agreement between the conventional method and both digital methods was moderate (kappa=0.449-0.517). The agreement between digital methods with and without enhancement was also moderate (kappa=0.718). Notably, digital photographs with enhancement tendto have a higher positive agreement for several lip print types. Digital photography is a potential method for lip print recording. However, this study highlights the need for the calibration of lip print classification systems for digitally recorded lip prints. Further research is needed to refine the use of digital photography in forensic lip print analysis and to explore its integration with artificial intelligence for biometric identification.

Serum cholesterol level as a predictive biomarker for prognosis of Neuroblastoma

BackgroundNeuroblastoma (NB), a type of solid tumor in children, has a poor prognosis. Few blood biomarkers can accurately predict the prognosis, including recurrence and survival, in children with NB. In this study, we found that the serum total cholesterol (Tchol) level was associated with the prognosis of patients through a retrospective study.MethodsMultivariate Cox regression model was used to identify the independent risk factors in the children with NB. Kaplan–Meier method was used to analyze the correlation between the common biomarkers, including the serum Tchol level, and the prognosis of the patients. ROC curves were used to predict the accuracy of the International Neuroblastoma Staging System (INSS) stage and Children’s Oncology Group (COG) risk stratification after adding the serum Tchol level.ResultsCompared with the other patients, serum Tchol level was significantly increased in the relapsed and died patients (P < 0.05). Subsequently, serum Tchol level was found as an independent risk factor to affect the outcome of patients (P < 0.05). Finally, we added serum Tchol level into traditional stage and risk classification system to form the new INSS stage and COG risk classification system. It was found that the areas under the ROC curve (AUC) of recurrence-free survival in the new INSS stage and COG risk classification system were increased to 0.691 (95%CI: 0.535–0.847) and 0.748 (95%CI: 0.622–0.874), respectively. Moreover, the AUC areas of overall survival in the new INSS stage and COG risk classification system were increased to 0.722 (95%CI: 0.561–0.883) and 0.668 (95%CI: 0.496–0.819), respectively.ConclusionWe found that serum Tchol level, a clinical biomarker, is a risk factor for recurrence and death among the children with NB. The serum Tchol level could significantly increase the accuracy of the prediction for NB prognosis.

Marine thraustochytrid: exploration from taxonomic challenges to biotechnological applications

Thraustochytrids, as a distinct group of heterotrophic protists, have garnered considerable attention owing to their remarkable adaptability in extreme marine environments, pronounced capacity for metabolic regulation and prolific production of high-value metabolites. The taxonomic classification of these microorganisms presents a substantial challenge due to the variability in morphological characteristics under different culture conditions. And this undermines the efficacy of traditional classification systems on physiological and biochemical traits. The establishment of a polyphasic taxonomic system integrating genomic characteristics in the future will provide new avenues for more accurate classification and identification. Thraustochytrids can effectively accumulate bioactive substances such as docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA), squalene and carotenoids. Through fermentation optimization and genetic modification, scientists have significantly enhanced the production of these metabolites. Moreover, the application of thraustochytrids in aquaculture, poultry and livestock feed has significantly improved animal growth and physiological indicators meanwhile increasing their DHA content. Natural bioactive substances in thraustochytrids, such as terpenoid compounds with antioxidant properties, have been proposed for application in the cosmetics industry. In the field of pharmacology, thraustochytrids have shown certain anti-inflammatory and anti-cancer activities and provide potential for the development of new oral vaccines. Additionally, they can degrade various industrial and agricultural wastes for growth and fatty acid production, demonstrating their potential in environmental bioremediation. Therefore, thraustochytrids not only exhibit tremendous application potential in the field of biotechnology, but also hold significant value in environmental protection and commercialization.

Gender Tapestry: gender classification as color assignation

AbstractGender Tapestry is a multi-stage interactive AI art project, challenging traditional gender classification systems. This project diverges from binary approaches by recognizing the individuality of the gender experience and expression. This paper draws parallels to the ways color perception differs amongst people and how gender is also experienced in different ways due to lived experiences. Gender Tapestry uses a multi-label classification system, with predictions extending across six gender categories, with a custom RGB color generated based on the outcomes. Participants receive binary images of their face in their personalized colors and styles, while their uploaded photos contribute to a live Generative Adversarial Network training process. This work was created in response to the very binary representations of gender in AI and the lack of representation for genders outside of the binary. The culmination is an evolving mosaic artwork, incorporating all users' custom colors, illustrating gender as a fluid construct. The mosaic gains in complexity as more images are added and more colors enter the mix, creating a community artwork on gender as a 3D color spectrum. This work contributes to the discourse on diversity and inclusion in AI, emphasizing the fluidity of gender and fostering unconventional artistic representations.

Molecular phylogeny and ethology of the Family Plagiostomidae (Platyhelminthes, Prolecithophora), with integrative description of a new species, Plagiostomum robusta A. Wang, sp. nov.

The taxon Prolecithophora, which is closely related to the well-known clade Tricladida, is rarely studied, particularly in terms of molecular phylogeny and behavioral characteristics. In this study, we employed an integrative analysis of molecular phylogeny, histology, and ethology to describe a new marine species, Plagiostomum robusta A.Wang, sp. nov. of the order Prolecithophora. Additionally, we obtained its nearly complete mitogenome sequence with annotations of 12 protein-coding genes, two rRNA genes and 22 tRNA genes. P. robusta is characterized by several features, including a pair of short tentacles, a terminal mouth and a terminal gonopore, a large variable pharynx, two extended front ends of the intestine, paired testes located behind the ovaries and outside the vitellaria, a muscular and movable distal sac, and a long tubular penis surrounded by a sheath. The phylogenetic analysis, based on 18S rDNA and 28S rDNA, revealed that the new species formed a clade with six Plagiostomum flatworms, indicating a close kinship with Plagiostomum. Despite contradictions between the traditional morphological classification system and the results of molecular phylogenetics, we chose to assign the new species to Plagiostomum based on comprehensive considerations. Moreover, our study has provided more insights into the behavioral features of Plagiostomidae species, as we found that P. robusta fed on other flatworms and engaged in cannibalism, and unexpectedly it mated via hypodermic inpregnation. This study represents the first comprehensive description of the reproductive behavior of Plagiostomidae species, contributing to the more in-depth understanding of the biological characteristics of this group.

Klasifikasi Batik Pekalongan Berdasarkan Citra dengan Metode GLCM dan JST Backpropagation

Batik is an Indonesian cultural heritage that is internationally recognized by UNESCO. However, knowledge about the types of batik, especially traditional Pekalongan batik, is increasingly forgotten due to globalization. This research aims to create a Pekalongan traditional batik image classification system through Gray Level Co-Occurrence Matrix (GLCM) feature extraction and Artificial Neural Network (ANN) classification method. This system aims to make it easier for people to identify Pekalongan batik motifs without requiring special skills. The results showed that the GLCM and JST methods can be used to classify Pekalongan batik can predict correctly. The use of JST Backpropagation architecture with 3 hidden layers resulted in train data accuracy of 46.6% and test data accuracy of 55.5%. This system is expected to help preserve the cultural heritage of batik and increase public understanding of Pekalongan batik motifs.

Principles and procedures for revising the hierarchical taxonomy of psychopathology.

Quantitative, empirical approaches to establishing the structure of psychopathology hold promise to improve on traditional psychiatric classification systems. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a framework that summarizes the substantial and growing body of quantitative evidence on the structure of psychopathology. To achieve its aims, HiTOP must incorporate emerging research in a systematic, ongoing fashion. In this article, we describe the historical context and grounding of the principles and procedures for revising the HiTOP framework. Informed by strengths and shortcomings of previous classification systems, the proposed revisions protocol is a formalized system focused around three pillars: (a) prioritizing systematic evaluation of quantitative evidence by a set of transparent criteria and processes, (b) balancing stability with flexibility, and (c) promoting inclusion over gatekeeping in all aspects of the process. We detail how the revisions protocol will be applied in practice, including the scientific and administrative aspects of the process. Additionally, we describe areas of the HiTOP structure that will be a focus of early revisions and outline challenges for the revisions protocol moving forward. The proposed revisions protocol is designed to ensure that the HiTOP framework reflects the current state of scientific knowledge on the structure of psychopathology and fulfils its potential to advance clinical research and practice. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Application of error level analysis in image spam classification using deep learning model

Image spam is a type of spam that contains text information inserted in an image file. Traditional classification systems based on feature engineering require manual extraction of certain quantitative and qualitative image features for classification. However, these systems are often not robust to adversarial attacks. In contrast, classification pipelines that use convolutional neural network (CNN) models automatically extract features from images. This approach has been shown to achieve high accuracies even on challenge datasets that are designed to defeat the purpose of classification. We propose a method for improving the performance of CNN models for image spam classification. Our method uses the concept of error level analysis (ELA) as a pre-processing step. ELA is a technique for detecting image tampering by analyzing the error levels of the image pixels. We show that ELA can be used to improve the accuracy of CNN models for image spam classification, even on challenge datasets. Our results demonstrate that the application of ELA as a pre-processing technique in our proposed model can significantly improve the results of the classification tasks on image spam datasets.

Comparative plastome genomics and phylogenetic relationships of the genus Trollius.

Trollius, a genus in the Ranunculaceae family, has significant medicinal and ornamental value. It is widely distributed in China with 16 different species accepted. However, due to the lack of enough samples and information sites, the molecular phylogenetic relationships of Trollius have been unresolved till now. Here we sequenced, assembled and annotated the plastomes of 16 Trollius species to investigate their genomic characteristics, inverted repeat (IR) boundaries, sequence repeats, and hypervariable loci. In addition, the phylogenetic relationships of this genus was reconstructed based on the whole plastomes and the protein-coding sequences data-sets. The plastomes of Trollius ranged between 159,597 bp and 160,202 bp in length, and contained 113 unique genes, including 79 protein coding, 30 tRNA, and 4 rRNA. The IR boundaries were relatively conserved within the genus Trollius. 959 simple sequence repeats and 657 long sequence repeats were detected in the Trollius plastomes. We identified 12 highly polymorphic loci (Pi > 0.0115) that can be used as plastid markers in molecular identification and phylogenetic investigation of the genus. Besides, Trollius was a monophyletic group with the earliest divergence clade being Trollius lilacinus Bunge, and the remaining species were divided into two strongly-supported clades. The phylogeny in our study supported the traditional classification systems based on the color of sepal, but not the previous classification system based on the types and relative lengths of the nectaries, and distribution. The genomic resources provided in our study can be used in the taxonomy of the genus Trollius, promoting the development and utilization of this genus.

Methods and pathophysiology of rewarming in case of local cold injury. Literature review

Nowadays, rewarming of the affected tissues is the primary method of treatment for patients with cold injuries. But the warming manipulation has its own characteristics and limitations, depending on specific circumstances. Untimely and incorrectly performed rewarming can lead to a significant increase in the level of dangerous complications, mortality, and disability. The rewarming strategy is implemented according to one of the two scenarios. If there is a risk of freezing again, the injured area is not actively rewarmed; it is just immobilized, and thermo‑insulating bandages are applied. Slow warming with body heat is also acceptable. If the frozen area can be warmed and kept warm without refreezing until the evacuation is completed, a quick warming with warm water or special heating blankets is preferable. Recommendations on the ideal water temperature significantly differ among authors and include a wide range between 37 °C and 43 °C. The extent of damage to the tissues becomes obvious only after thawing. The traditional classification system of local cold injuries distinguishes four degrees of frostbite. First‑degree frostbite presents with superficial damage to the skin; second‑degree frostbite involves deep skin damage; third‑degree frostbite results in full‑thickness skin damage, including the subcutaneous and surrounding tissues; and fourth‑degree frostbite causes deep necrosis of the subcutaneous structures. Depending on the extent of damage, patients may experience constant and severe pain during rewarming, so analgesics should be prescribed to relieve it. It is recommended to use topical agents (creams, gels, and ointments) to improve circulation and prevent and treat infection. Tissue necrosis with severe frostbite requires surgical treatment of wounds. The authors hope that the provided information will be useful to doctors‑of‑first‑ contact and in hospital conditions in order to optimize the treatment of local cold injuries.

International study of the Complex Stress Reaction Syndrome: Implications for transdiagnostic clinical practice.

The debate regarding diagnostic classification systems in psychiatry (categorial vs dimensional systems) has essential implications for the diagnosis, prevention and treatment of stress reactions. We previously found a unique pattern of stress reaction in a study executed during the coronavirus disease 2019 pandemic using large representative samples in two countries, and termed it the Complex Stress Reaction Syndrome (CSRS). To investigate CSRS, Type A (psychiatric symptoms, spanning anxiety, depression, stress symptoms, and post-traumatic stress disorder (PTSD)), with or without long-coronavirus disease (COVID) residuals (CSRS, Type B, neuropsychiatric symptoms spanning cognitive deficits and fatigue, excluding systemic symptoms). Our two-tailed hypothesis was that CSRS is a condition related to an unrecognized type of stress reaction in daily life in the general population (Type A) or that it is related to the severe acute respiratory syndrome coronavirus 2 infection and its long-COVID residuals (Type B). 977 individuals in four continents (North America, Europe, Australia and the Middle East) completed the online study questionnaire in six languages using the Qualtrics platform. The study was managed by six teams in six countries that promoted the study on social media. The questionnaire assessed anxiety, depression, stress symptoms and PTSD (CSRS, Type A), cognitive deficits and fatigue (CSRS, Type B). The data were analyzed using Proportion Analyses, Multivariate Analysis of Co-Variance (MANCOVA), linear regression analyses and validated clinical cutoff points. The results of the Proportion Analyses showed that the prevalence of 4 symptoms spanning anxiety, depression, stress symptoms, and PTSD was significantly higher than the most prevalent combinations of fewer symptoms across 4 continents, age groups, and gender. This supports the transdiagnostic argument embedded in the CSRS (Type A). The same pattern of results was found in infected/recovered individuals. The prevalence of the 4 psychiatric symptoms combination was significantly greater than that of 5 and 6 symptoms, when adding cognitive deficits and fatigue, respectively. MANCOVA showed a significant three-way interaction (age × gender × continent). Further analyses showed that the sources of this three-way interaction were threefold relating to two sub-populations at-risk: (1) Individuals that self-identified as non-binary gender scored significantly higher on all 4 psychiatric symptoms of the CSRS, Type A at young age groups (< 50 years old) in North America compared to (self-identified) women and men located in the 4 continents studied, and to other ages across the adult life span; and (2) This pattern of results (CSRS, Type A) was found also in women at young ages (< 40 years old) in North America who scored higher compared to men and women in other continents and other ages. Linear regression analyses confirmed the MANCOVA results. These results show a combined mental health risk factor related to stress reactivity, suggesting that the CSRS is sensitive to populations at risk and may be applied to future identification of other vulnerable sub-populations. It also supports the transdiagnostic approach for more accurate prevention and treatment. Time will tell if such transdiagnostic syndromes will be part of the discussions on the next revisions of the traditional classification systems or whether the crisis in psychiatry further evolves.

Transdiagnostic analysis of adverse childhood experiences and their association with psychopathology–A TRANS-D conform study

Transdiagnostic approaches challenge traditional psychiatric classification systems. Adverse childhood experiences (ACE) represent a transdiagnostic risk factor for psychopathology with dose dependency. As different qualities of ACE typically co-occur, we identified ACE patterns to assess their power for predicting psychopathology compared to traditional diagnoses. Following TRANS-D guidelines, we categorized participants (N=360) with persistent depressive disorder (PDD), borderline personality disorder (BPD), or healthy control status (HC) into subcategories defined by ACE pattern, using the Childhood Trauma Questionnaire (CTQ). Improvement of the transdiagnostic vs. diagnostic approach in predicting psychopathology was evaluated in a cross-validated predictive modeling framework focusing on the clinical sample of PDD and BPD patients. Results were externally validated in another transdiagnostic sample (N=138). Seven pattern-based subcategories with distinct ACE profiles were identified in the primary sample and replicated in the validation sample. Patterns cut across diagnostic groups. Predictive modeling showed that diagnoses could not predict depressive symptoms and loneliness. Transdiagnostic constructs systematically predicted all measures. This study showcases ACE as a promising construct for transdiagnostic research. Our data-driven framework identified robust ACE subcategories mapping onto general and interpersonal psychopathology. Patterns of CTQ-based information may provide an approach to integrating information on co-occurring ACE to inform diagnostics and treatment.

Stability of Intertrochanteric Femur Fractures.

The stability of intertrochanteric fractures depends upon multiple factors including the fracture displacement, location and pattern, the type of fixation used for stabilization, and the loading that the fracture undergoes postfixation. Traditional classification systems are of limited utility because they typically stratify intertrochanteric fractures as stable or unstable based purely on the fracture pattern without consideration of the stability after fixation. Biomechanical studies evaluating the stability of various fixation constructs should include physiologic loading, including rotation around the axis of the femoral neck, and reproduce clinical failure modes to be clinically relevant. A growing body of evidence indicates that the type of fixation substantially affects postoperative stability of intertrochanteric fractures.

Studying fine-grained elements of psychopathology to advance mental health science.

Given the now well-recognized limitations of traditional classification systems for research, this editorial proposes to advance mental health science by focusing research efforts on studying fine-grained elements of mental health and illness such as symptoms, mechanisms, and processes. Our own perspectives are informed by three approaches in particular that have gained traction over the last decade: the Hierarchical Taxonomy of Psychopathology, the network or systems approach, and the National Institute of Mental Health Research Domain Criteria. Drawing on these and other perspectives as well as the diverse views of the author teams that contributed to this Special Section, we summarize the state of the field and propose an ambitious plan for the way ahead. Specifically, we propose that embracing pluralistic, multimethod, and multisystem approaches offers a way forward. This will require strategies to reduce research waste and much stronger channels for communication to identify confluence, discoveries, and dead ends within and between disciplines. We are optimistic this will lead to a better understanding of the mechanisms underpinning psychopathology and ultimately to more effective interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 3-Summary of Imaging Findings on Glioneuronal and Neuronal Tumors.

The fifth edition of the World Health Organization classification of central nervous system tumors published in 2021 reflects the current transitional state between traditional classification system based on histopathology and the state-of-the-art molecular diagnostics. This Part 3 Review focuses on the molecular diagnostics and imaging findings of glioneuronal and neuronal tumors. Histological and molecular features in glioneuronal and neuronal tumors often overlap with pediatric-type diffuse low-grade gliomas and circumscribed astrocytic gliomas (discussed in the Part 2 Review). Due to this overlap, in several tumor types of glioneuronal and neuronal tumors the diagnosis may be inconclusive with histopathology and genetic alterations, and imaging features may be helpful to distinguish difficult cases. Thus, it is crucial for radiologists to understand the underlying molecular diagnostics as well as imaging findings for application on clinical practice. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 3.

Detection and full-genotype determination of rare and reassortant rotavirus A strains in Nizhny Novgorod in the European part of Russia.

Reassortant DS-1-like rotavirus A strains have been shown to circulate widely in many countries around the world. In Russia, the prevalence of such strains remains unclear due to the preferred use of the traditional binary classification system. In this work, we obtained partial sequence data from all 11 genome segments and determined the full-genotype constellations of rare and reassortant rotaviruses circulating in Nizhny Novgorod in 2016-2019. DS-1-like G3P[8] and G8P[8] strains were found, reflecting the global trend. Most likely, these strains were introduced into the territory of Russia from other countries but subsequently underwent further evolutionary changes locally. G3P[8], G9P[8], and G12P[8] Wa-like strains of subgenotypic lineages that are unusual for the territory of Russia were also identified. Reassortant G2P[8], G4P[4], and G9P[4] strains with one Wa-like gene (VP4 or VP7) on a DS-1-like backbone were found, and these apparently had a local origin. Feline-like G3P[9] and G6P[9] strains were found to be phylogenetically close to BA222 isolated from a cat in Italy but carried some traces of reassortment with human strains from Russia and other countries. Thus, full-genotype determination of rotavirus A strains in Nizhny Novgorod has clarified some questions related to their origin and evolution.

A review of liver fibrosis and cirrhosis regression.

Cirrhosis has traditionally been considered an irreversible process of end-stage liver disease. With new treatments for chronic liver disease, there is regression of fibrosis and cirrhosis, improvement in clinical parameters (i.e. liver function and hemodynamic markers, hepatic venous pressure gradient), and survival rates, demonstrating that fibrosis and fibrolysis are a dynamic process moving in two directions. Microscopically, hepatocytes push into thinning fibrous septa with eventual perforation leaving behind delicate periportal spikes in the portal tracts and loss of portal veins. Obliterated portal veins during progressive fibrosis and cirrhosis due to parenchymal extinction, vascular remodeling and thrombosis often leave behind a bile duct and hepatic artery within the portal tract. Traditional staging classification systems focused on a linear, progressive process; however, the Beijing classification system incorporates both the bidirectional nature for the progression and regression of fibrosis. However, even with regression, vascular lesions/remodeling, parenchymal extinction and a cumulative mutational burden place patients at an increased risk for developing hepatocellular carcinoma and should continue to undergo active clinical surveillance. It is more appropriate to consider cirrhosis as another stage in the evolution of chronic liver disease as a bidirectional process rather than an end-stage, irreversible state.

Identifying the Production–Living–Ecological Functional Structure of Haikou City by Integrating Empirical Knowledge with Multi-Source Data

The inefficient use of urban resources and the imbalance of spatial structures make optimizing land use management a top priority in urban environmental management. Traditional land use classification systems that prioritize only natural features while disregarding human activity can result in redundancy and conflicts in urban planning. The Production–Living–Ecological Space (PLES) approach was developed as an integrated method for territorial spatial classification. However, most existing studies on PLES are conducted at provincial scales, largely overlooking fine-scale usage within cities. In addition, the existing concept of PLES has been vaguely defined, resulting in linear and simple identification methods that are not applicable to complex urban environments. To address these issues, this study proposes a method to identify urban PLES based on supervised classification using random forest models, which integrate empirical knowledge and multi-source heterogeneous information. The experiments conducted in Haikou reveal the regional aggregation of living and production spaces and the scarcity of ecological space in the city. Our study proposes a concrete concept of PLES and a method for identifying PLES that can be applied to multiple regions, providing an effective tool for the coordinated management of urban production, living, and ecological environments.

A review of liver fibrosis and cirrhosis regression

Cirrhosis has traditionally been considered an irreversible process of end-stage liver disease. With new treatments for chronic liver disease, there is regression of fibrosis and cirrhosis, improvement in clinical parameters (i.e. liver function and hemodynamic markers, hepatic venous pressure gradient), and survival rates, demonstrating that fibrosis and fibrolysis are a dynamic process moving in two directions. Microscopically, hepatocytes push into thinning fibrous septa with eventual perforation leaving behind delicate periportal spikes in the portal tracts and loss of portal veins. Obliterated portal veins during progressive fibrosis and cirrhosis due to parenchymal extinction, vascular remodeling and thrombosis often leave behind a bile duct and hepatic artery within the portal tract. Traditional staging classification systems focused on a linear, progressive process; however, the Beijing classification system incorporates both the bidirectional nature for the progression and regression of fibrosis. However, even with regression, vascular lesions/remodeling, parenchymal extinction and a cumulative mutational burden place patients at an increased risk for developing hepatocellular carcinoma and should continue to undergo active clinical surveillance. It is more appropriate to consider cirrhosis as another stage in the evolution of chronic liver disease as a bidirectional process rather than an end-stage, irreversible state.

Genetic Diversity and Maternal Phylogenetic Relationships among Populations and Strains of Arabian Show Horses.

Genetic diversity and phylogenetic relationships within the Arabian show horse populations are of particular interest to breeders worldwide. Using the complete mitochondrial DNA D-loop sequence (916 pb), this study aimed (i) to understand the genetic relationship between three populations, the Desert-Bred (DB), a subset of the Kingdom of Saudi Arabia (KSA), United Arab Emirates (UAE) and Bahrain (BAH), the Straight Egyptian (EG) and the Polish bloodline (PL), and (ii) to assess the accuracy of the traditional strain classification system based on maternal lines, as stated by the Bedouin culture. To that end, we collected 211 hair samples from stud farms renowned for breeding Arabian show horses from Nejd KSA, Bahrain, Egypt, Qatar, Morocco, UAE, and Poland. The phylogenetic and network analyses of the whole mitochondrial DNA D-loop sequence highlighted a great genetic diversity among the Arabian horse populations, in which about 75% of variance was assigned to populations and 25% to strains. The discriminant analysis of principal components illustrated a relative distinction between those populations. A clear subdivision between traditional strains was found in PL, in contrast to the situation of DB and EG populations. However, several Polish horse individuals could not be traced back to the Bedouin tribes by historical documentation and were shown to differ genetically from other studied Bedouin strains, hence motivating extended investigations.