Morphological Classification Research Articles

Radiographic predictors of post-operative inferior alveolar nerve injury in mandibular third molar surgery

BackgroundCone-beam computed tomography (CBCT) provides additional three-dimensional information on the relationship between the mandibular third molar (M3M) and the inferior alveolar nerve (IAN). As such, CBCT is being increasingly utilized in pre-operative M3M assessment. PurposeThe purpose of the study was to compare the radiographic findings on panoramic and CBCT and their association with post-operative IAN paresthesia. Study design, setting and sampleWe conducted a retrospective cohort study in a sample of patients referred to the Department of Oral and Maxillofacial Surgery at the Royal Dental Hospital of Melbourne, for management of impacted M3Ms. Patients were included in this study if they had one or more high risk findings on OPG, had both OPG and CBCT imaging taken and if at least one M3M had been extracted. Subjects were excluded from this study if their M3Ms were not extracted or if a CBCT was not indicated. Independent variablesThe independent variable was radiographic features identified on OPG (Rood and Shehab’s radiographic signs, root morphology, impaction type, Pell and Gregory classification) and CBCT (number and location of roots, severity of IAN compression and the presence of ankylosis). Outcome variableThe outcome variable was post-operative neurosensory function defined as any reported paresthesia at 2-week post-procedural review. CovariatesThe covariates were patient demographic information (age, sex). AnalysesVariables were initially assessed with univariate logistic regression analysis to determine factors related to developing post-operative paresthesia. Multivariate logistic regression analysis was then used to assess the association between positive univariate study variables and post-operative paresthesia, while adjusting for potential confounders. Covariates were assessed using an omnibus likelihood ratio test and included if they were statistically significant at the p<0.05 level. ResultsThe study sample consisted of 257 subjects who underwent surgical removal of n=386 M3Ms. The mean age was 25.9 (SD = 7.05). The panoramic features of narrowing of canal, diversion of canal and dark/bifid roots were identified as statistically significant associations of post-operative paresthesia. No CBCT features were significantly associated of post-operative paresthesia. Conclusions and RelevanceCertain panoramic features, along with patient age, are significant predictors of IAN paresthesia. CBCT findings were not significant predictors upon multivariate analysis, thus additional CBCT imaging did not significantly improve ability to predict paresthesia.

Unique among high passes: Insights into the genetic uniqueness among butterflies of Ladakh Trans-Himalaya through DNA barcoding.

The butterfly assemblage of Ladakh Trans-Himalaya demands a thorough analysis of their population genetic structure owing to their typical biogeographic affinity and their adaptability to extreme cold-desert climates. No such effort has been taken till date, and in this backdrop, we created a COI barcode reference library of 60 specimens representing 23 species. Barcodes were generated from freshly collected leg samples using the Sanger sequencing method, followed by phylogenetic clade analyses and divergence calculation. Our data represents 22% of Ladakh's Rhopaloceran fauna with the novel barcode submission for six species, including one Schedule II species, Paralasa mani. Contrary to the 3% threshold rule, the interspecific divergence between two species pairs of typical mountain genus Hyponephele and Karanasa was found to be 2.3% and 2.2%, respectively. The addition of conspecific global barcodes revealed that most species showed little increase in divergence value, while a two-fold increase was noted in a few species. Bayesian clade clustering outcomes largely aligned with current morphological classifications, forming monophyletic clades of conspecific barcodes, with only minor exceptions observed for the taxonomically complicated genus Polyommatus and misidentified records of Aulocera in the database. We also observed variations within the same phylogenetic clades forming nested lineages, which may be attributed to the taxonomic intricacies present at the subspecies level globally, mostly among Eurasian species. Overall, our effort not only substantiated the effectiveness of DNA Barcoding for the identification and conservation of this climatically vulnerable assemblage but also highlighted the significance of deciphering the unique genetic composition among this geographically isolated population of Ladakh butterflies.

Morphology and molecular phylogeny of Pelagothrix abietum (Penard, 1922) and two new Metacystis and Apolagynus species (Ciliophora, Prostomatea)

Ciliates of the class Prostomatea show a broad spectrum of feeding strategies and often occur abundantly in various aquatic habitats, playing a vital role in the biogeochemical cycle. Due to their small cell size and simple structure, prostomateans were considered to be a group with a lower degree of morphological differentiation for a long time. However, recent research suggests that the diversity of this group of ciliates is higher than previously thought. In the present study, three prostomateans, collected from different localities in China and classified into three families, were examined using morphological and phylogenetic techniques. Our analyses revealed two new species, Metacystis multitricha sp. nov. and Apolagynus spiralis sp. nov., and suggested a transfer of Prorodon abietum Penard, 1922 to the genus Pelagothrix. Phylogenetic analyses corroborated the morphological classifications of the three species into the families Metacystidae, Lagynusidae, and Holophryidae, respectively, demonstrating that their diagnostic characteristics bear an evolutionary signal at the family level

Distribution of useful species of family Rosaceae Juss in the flora of Zhetysu Alatau

In the article the results of an analysis of the species composition of wild plants of the Rosaceae Juss familywere presented. As a result of floristic analysis, it was established that in the northwestern part of the ZhetysuAlatau there are 91 species belonging to the Rosaceae family, belonging to 24 genera. The leading genera inthis area are: Potentilla — 24, Cotoneaster — 9, Rosa -9, Alchimilla -7, Crataegus — 5, etc. According toecological and morphological classifications, all useful species were ranked into 4 groups (trees, shrubs, subshrubs,herbaceous perennials). Spectra of useful properties were shown (use in scientific medicine and infolk medicine, such as vitamins, decorative, food, etc.). 12 groups of medicinal types were ranked accordingto pharmacotherapeutic activity.

Complete Mitochondrial Genome of Tanypus chinensis and Tanypus kraatzi (Diptera: Chironomidae): Characterization and Phylogenetic Implications

Background: Chironomidae occupy a pivotal position within global aquatic ecosystems. The unique structural attributes of the mitochondrial genome provide profound insights and compelling evidence, underpinning the morphological classification of organisms and substantially advancing our understanding of the phylogenetic relationships within Chironomidae. Results: We have meticulously sequenced, assembled, and annotated the mitogenomes of Tanypus chinensis (Wang, 1994) and Tanypus kraatzi (Kieffer, 1912), incorporating an additional 25 previously published mitogenomes into our comprehensive analysis. This extensive dataset enables us to delve deeper into the intricate characteristics and nuances of these mitogenomes, facilitating a more nuanced understanding of their genetic makeup. Conclusions: The genomic nucleotide composition of T. kraatzi was 39.10% A, 36.51% T, 14.33% C, and 10.06% G, with a total length of 1508 bp. The genomic nucleotide composition of T. chinensis was 39.61% A, 36.27% T, 14.55% C, and 9.57% G, with a total length of 1503 bp. This significant enrichment of the chironomid mitogenome library establishes a novel foundation for further exploration in the realm of phylogenetics.

Molecular analyses of the tubby-like protein gene family and their response to salt and high temperature in the foxtail millet (Setaria italica).

Tubby-like proteins (TLPs) are a group of proteins found in both eukaryotes and prokaryotes. They are significant in various physiological and biochemical processes, especially in plants' response to abiotic stress. However, the role of TLP in foxtail millet (Setaria italica) remains unclear. The millet genome has 16 members of the TLP family with typical Tub domains, which can be sorted into five subgroups based on gene structure, motif, and protein domain distribution. SiTLPs were discovered to be predominantly located in the nucleus and also had extracellular distribution. The interspecific evolutionary analysis indicated that SiTLPs had a closer evolutionary relationship with monocots and were consistent with the morphological classification of foxtail millet. When subjected to salt stress, the abundance of SiTLP was affected, and qRT-PCR results showed that the expression levels of certain SiTLP members were induced by salt stress while others remained unresponsive. Except for SiTLP14, all other SiTLP genes were up-regulated in response to high-temperature stress, implying a potentially crucial role for SiTLP in mitigating high-temperature-induced damage. This study provides valuable insights into understanding the functional significance of the TLP gene family in foxtail millet.

Anatomical variants of the medial synovial fold of the posterior cruciate ligament: morphological classification based on magnetic resonance imaging of the knee.

The medial synovial fold of the posterior cruciate ligament is one of the synovial plicae of the knee joint. The objective of this study was to assess the necessity of reporting the appearance of the medial synovial fold of the posterior cruciate ligament on magnetic resonance imaging of the knee joint and its correlation with side and sex. Patients with normal knee structure on magnetic resonance imaging (MRI) scans between 2018 and 2023 were included in this retrospective study. MRI scans of the knee joints were retrospectively reviewed by two musculoskeletal radiologists independently. The medial synovial fold of the posterior cruciate ligament was divided into three types according to the imaginary line drawn between the lateral border of the medial femoral condyle and the medial tibial intercondylar tubercle. The study included 1147 patients, of whom 478 (41.7%) were female and 669 (58.3%) were male. Among these patients, 580 (50.6%) had a right knee scan, and 567 (49.4%) had a left knee scan. The age range was 15-35 years for both sexes. The frequency of the medial synovial fold types in all patients was as follows: Type A (30.1%), Type B (55.4%) and Type C (14.5%). There was a high level of agreement between the observers. There was a statistically significant difference in the frequency of medial synovial fold types between sexes, with men exhibiting a greater prevalence. Magnetic resonance imaging (MRI) of the knee joint revealed the medial synovial folds of the posterior cruciate ligament (PCL). The most common was Type B (55.4%), followed by Type A (30.1%) and Type C (14.5%) among the MSF types. No statistically significant difference was found between the right and left knees for any of the MSF types.

Analysis of synergistic influence of multi-scale design parameters on nearly-zero energy office blocks performance based on architectural morphological classification and parametric modeling

Analysis of synergistic influence of multi-scale design parameters on nearly-zero energy office blocks performance based on architectural morphological classification and parametric modeling

Neuroma morphology: A macroscopic classification system.

Neuromas come in different shapes and sizes; yet the correlation between neuroma morphology and symptomatology is unknown. Therefore, we aim to investigate macroscopic traits of excised human neuromas and assess the validity of a morphological classification system and its potential clinical implications. End-neuroma specimens were collected from prospectively enrolled patients undergoing symptomatic neuroma surgery. Protocolized images of the specimens were obtained intraoperatively. Pain data (Numeric rating scale, 0-10) were prospectively collected during preoperative interview, patient demographic and comorbidity factors were collected from chart review. A morphological classification is proposed, and the inter-rater reliability (IRR) was assessed. Distribution of neuroma morphology with patient factors, was described. Forty-five terminal neuroma specimens from 27 patients were included. Residual limb patients comprised 93% of the population, of which 2 were upper (8.0%) and 23 (92.0%) were lower extremity residual limb patients. The proposed morphological classification, consisting of three groups (bulbous, fusiform, atypical), demonstrated a strong IRR (Cohen's kappa = 0.8). Atypical neuromas demonstrated higher preoperative pain, compared with bulbous and fusiform. Atypical morphology was more prevalent in patients with diabetes and peripheral vascular disease. A validated morphological classification of neuroma is introduced. These findings may assist surgeons and researchers with better understanding of symptomatic neuroma development and their clinical implications. The potential relationship of neuroma morphology with the vascular and metabolic microenvironment requires further investigation.

The first report of complete mitogenomes of two endangered species of genus Propomacrus (Coleoptera: Scarabaeidae: Euchirinae) and phylogenetic implications.

To understand the mitochondrial genome structure of two endangered and long-armed scarab beetles, Propomacrus davidi and Propomacrus bimucronatus, their complete mitogenomes were sequenced for the first time in this study. The complete mitogenomes of P. davidi and P. bimucronatus were 18, 042 bp and 18, 104 bp in length, respectively. The gene orders of their mitogenomes were highly consistent with other Coleopteran species, and the typical ATN was used as the start codon in most protein coding genes. The incomplete stop codon T was used in cox1, cox2, and nad5, and TAN was used as a complete stop codon in most protein coding genes. All predicted tRNAs could form a typical cloverleaf secondary structure, except that trnS1 lacked the dihydrouridine arm. Based on the maximum likelihood and the Bayesian inference methods, phylogenetic trees of 50 species were reconstructed. The results showed that P. davidi, P. bimucronatus, Cheirotonus jansoni and Cheirotonus gestroi clustered in the same branch, and were the most closely related. The results supported that subfamily Euchirinae is a monophyletic group of Scarabaeidae, which was consistent with the morphological classification. These molecular data enriched the complete mitogenome database of Euchirinae, and improved our understanding of the phylogenetic relationship and evolutionary characteristics of these two endangered species.

Deep learning classification method for boar sperm morphology analysis.

Boar semen quality emphasizes three major criteria: sperm concentration, motility, and morphology. Methods to analyze concentration and motility quickly and objectively readily exist, but few exist for analyzing morphology outside of subjective manual counting. Other vital factors for fertilization, like acrosome health, lack efficient detection methods due to limitations in detection by the human eye and costly biomarker analysis, which is rarely used in semen diagnostics. To overcome these challenges, we propose a novel approach integrating deep-learning technology with high-throughput image-based flow cytometry (IBFC) for objective and accurate analysis of both morphology and label-free acrosome health of thousands of individual spermatozoa at once, as opposed to manually counting on a microscope slide. Images of 10,000 spermatozoa were captured using an IBFC and manually annotated based on the primary morphological defect or acrosome health status for the training of the convolutional neural network (CNN). The CNN used these images to train and then applied that training to unannotated images to predict the model accuracy. Using the CNNs, high F1 scores of 96.73%, 98.55%, and 99.31% for 20x, 40x, and 60x magnifications, respectively, for morphological classification were attained. Additionally, the model demonstrates an F1 score of 99.8% in detecting subtle acrosome health variations at the 60x magnification. We have established an integrated approach to rapidly collect and classify morphological defects and acrosome health status, without the use of manual counting or biomarker labeling. Our study underscores the potential of artificial intelligence in semen diagnostics, reducing technician variability, streamlining assays, and facilitating the development of additional label-free detection methods. This innovative approach addresses the barriers hindering biomarker adoption in semen analysis, offering a promising avenue for enhancing reproductive health assessments.

Cytogenetic analysis and visualization of genetic relationships in wild lilies.

Lilies are highly regarded for their ornamental appeal and striking flowers, which are of significant importance in horticulture. Understanding the genetic makeup of these plants is crucial for breeding and developing new cultivars. This study presents a comprehensive cytogenetic analysis of 45S and 5S rDNA loci in 34 wild Lilium species. To reveal the genetic relationships within the genus, advanced visualization methods, such as heatmaps and 3D network plots, were utilized. The results of this study identified both conserved and divergent genetic features, which offer insights into the evolutionary history and potential genetic compatibility of these species. Notably, the clustering of species based on rDNA locus patterns highlights the need for potential taxonomic re-evaluation and reveals candidates for cross-breeding. This integrated approach emphasizes the importance of combining cytogenetic data with traditional morphological classifications to refine our understanding of the Lilium species. Future research should expand the range of analyzed species, incorporate additional molecular markers to further elucidate genetic relationships, and support the development of resilient and diverse ornamental crops. The findings of this study provide a novel framework for genetic analysis of Lilium, offering valuable insights for both scientific understanding and practical breeding programs.

Morphological dictionary learning based sparse classification for small electric motor state recognition under unbalanced samples

Accurately recognizing sound states in the production line of small electric motors is of great importance for manufacturers to carry out quick repairs and ensure high quality deliveries. Since the number of normal samples is much larger than the number of abnormal samples in practice, resulting in unbalanced data, which poses huge challenges to traditional detection methods. To overcome these difficulties, this study presents a morphological dictionary learning-based sparse classification (MDL-SC) combined with audio data augmentation method for small electric motor state recognition under unbalanced samples. Firstly, audio data augmentation methods such as adding background noise, pitch shifting, time stretching and combined augmentation are investigated for augmenting the number and diversity of samples. Secondly, morphological dictionary learning is proposed for characterizing transient sounds of small electric motors and enhancing the discriminative feature learning capability of the dictionary. Finally, the minimum reconstruction error strategy is relied upon to establish automatic recognition of small electric motor states. Three small motor datasets with unbalanced ratios are established in the experiments to verify the effectiveness of the proposed MDL-SC, which has higher recognition accuracy under unbalanced conditions compared with traditional dictionary learning based sparse classification (DL-SC), k-nearest neighbors, support vector machines and convolutional neural networks. This study can provide some theoretical implications for the later development of online detection of small electric motors or other types of electric motors.

Bayesian and convolutional networks for hierarchical morphological classification of galaxies

Bayesian and convolutional networks for hierarchical morphological classification of galaxies

NBI Classification Optimization With Morphological Characteristics in Vocal Fold Leukoplakia.

Objectives: To investigate the pathological contribution of vocal fold leukoplakia (VFL) of type II in narrow-band imaging (NBI) classification and morphological characteristics to improve pathological prediction. Material and Methods: The 59 VFL patients with type II in 2019 Ni classification in NBI were included. The pathological reports were collected and divided following 2005 WHO Blue Book. Low-risk VFL contained non-, mild, moderate dysplasia, high-risk VFL included severe dysplasia. The morphological classification and laryngoscopic scoring system were employed to evaluate leukoplakia for pathological prediction. Results: The pathologies contained 1 case of leukoplakia with non-dysplasia, 12 of mild dysplasia, 15 of moderate dysplasia, 8 of severe dysplasia, and 23 of carcinoma. The 30 smooth VFL contained 1 non-dysplasia, 12 mild dysplasia, 14 moderate dysplasia, 2 severe dysplasia, and 1 carcinoma. The 29 rough cases included 1 moderate dysplasia, 6 severe dysplasia, and 22 carcinomas. Laryngoscopic scoring system revealed irregular texture, large size, and thick lesion as factors in relationship with high-risk leukoplakia in univariate (P = .002, <.001, <.001) and multivariate (P = .025, .002, .016) analysis, irregular texture was the most accurate predictor of high-risk VFL pathology. Conclusions and Significance: The pathologies of VFL with type II in NBI classification were hard to be predicted. Morphological irregular/rough texture contributed to predict high-risk pathology in leukoplakia.

MALDI-TOF MS Profiling and Its Contribution to Mosquito-Borne Diseases: A Systematic Review.

Mosquito-borne diseases are responsible for hundreds of thousands of deaths per year. The identification and control of the vectors that transmit pathogens to humans are crucial for disease prevention and management. Currently, morphological classification and molecular analyses via DNA barcoding are the standard methods used for vector identification. However, these approaches have several limitations. In the last decade, matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS) profiling has emerged as an innovative technology in biological sciences and is now considered as a relevant tool for the identification of pathogens and arthropods. Beyond species identification, this tool is also valuable for determining various life traits of arthropod vectors. The purpose of the present systematic review was to highlight the contribution of MALDI-TOF MS to the surveillance and control of mosquito-borne diseases. Published articles from January 2003 to August 2024 were retrieved, focusing on different aspects of mosquito life traits that could be determinants in disease transmission and vector management. The screening of the scientific literature resulted in the selection of 54 published articles that assessed MALDI-TOF MS profiling to study various mosquito biological factors, such species identification, life expectancy, gender, trophic preferences, microbiota, and insecticide resistance. Although a large majority of the selected articles focused on species identification, the present review shows that MALDI-TOF MS profiling is promising for rapidly identifying various mosquito life traits, with high-throughput capacity, reliability, and low cost. The strengths and weaknesses of this proteomic tool for vector control and surveillance are discussed.

Phylogenetic synthesis of morphological and molecular data reveals insights on the classification of diogenid hermit crabs (Crustacea: Decapoda: Anomura).

The family Diogenidae Ortmann, 1892 is a diverse and abundance group of hermit crabs, but their systematics and phylogenetic relationships are highly complex and unresolved. Herein, we gathered nucleotide sequence data from two mitochondrial (16S rRNA and COI) and two nuclear (NaK and PEPCK) genes for a total of 2,308 bp in length across 38 species from six extant diogenid genera. Molecular data were combined with 41 morphological characters to estimate the largest phylogeny of diogenid hermit crabs to date with the aim of testing the proposed taxonomic scheme of Diogenidae and addressing intergeneric relationships within this family. Despite conflicts between mitochondrial and nuclear DNA trees, the combined-data tree reflects the contributions of each dataset, and improves tree resolution and support for internal nodes. Contrary to traditional classification, our total evidence revealed a paraphyletic Diogenidae based on internally nested representatives of Coenobitidae Dana, 1851. Within Diogenidae, the studied diogenid hermit crabs were split between two clades with high support, which contradicts recent morphological classification scheme for Diogenidae sensu lato based on fossil records. The genus Diogenes Dana, 1851 was found nested inside Paguristes Dana, 1851, which formed a clade being separated from the remainder, pointing towards paraphyly in Paguristes. In another clade, Dardanus Paulson, 1875 occupied a basal position relative to the other diogenids, while Calcinus Dana, 1851 and Clibanarius Dana, 1852 showed sister relationships and formed a cluster with Ciliopagurus Forest, 1995. Among the morphological characters examined, carapace shield and telson were identified as phylogenetically significant for grouping diogenid genera, while phylogenetic insignificance of gill number was evidenced by its mosaic pattern in diogenid phylogeny. The present study sheds light on the controversial generic phylogeny of Diogenidae and highlights the necessity for thorough taxonomic revisions of this family as well as some genera (e.g., Paguristes) to reconcile current classifications with phylogenetic relationships.

DECNet: Left Atrial Pulmonary Vein Class Imbalance Classification Network.

In clinical practice, the anatomical classification of pulmonary veins plays a crucial role in the preoperative assessment of atrial fibrillation radiofrequency ablation surgery. Accurate classification of pulmonary vein anatomy assists physicians in selecting appropriate mapping electrodes and avoids causing pulmonary arterial hypertension. Due to the diverse and subtly different anatomical classifications of pulmonary veins, as well as the imbalance in data distribution, deep learning models often exhibit poor expression capability in extracting deep features, leading to misjudgments and affecting classification accuracy. Therefore, in order to solve the problem of unbalanced classification of left atrial pulmonary veins, this paper proposes a network integrating multi-scale feature-enhanced attention and dual-feature extraction classifiers, called DECNet. The multi-scale feature-enhanced attention utilizes multi-scale information to guide the reinforcement of deep features, generating channel weights and spatial weights to enhance the expression capability of deep features. The dual-feature extraction classifier assigns a fixed number of channels to each category, equally evaluating all categories, thus alleviating the learning bias and overfitting caused by data imbalance. By combining the two, the expression capability of deep features is strengthened, achieving accurate classification of left atrial pulmonary vein morphology and providing support for subsequent clinical treatment. The proposed method is evaluated on datasets provided by the People's Hospital of Liaoning Province and the publicly available DermaMNIST dataset, achieving average accuracies of 78.81% and 83.44%, respectively, demonstrating the effectiveness of the proposed approach.

Galaxy Zoo: Morphologies Based on UKIDSS NIR Imaging for 71,052 Galaxies

We present morphological classifications based on Galaxy Zoo analysis of 71,052 galaxies with imaging from the United Kingdom Infrared Telescope Infrared Deep Sky Survey (UKIDSS). Galaxies were selected out of the Galaxy Zoo 2 (GZ2) sample, so also have gri imaging from the Sloan Digital Sky Survey. An identical classification tree, and vote weighting/aggregation was applied to both UKIDSS and GZ2 classifications enabling direct comparisons. With this Research Note we provide a public release of the GZ:UKIDSS morphologies and discuss some initial comparisons with GZ2.

Morphological classification of radial glia-like cells in the postnatal mouse subventricular zone.

The subventricular zone (SVZ) is one of the neurogenic regions of the adult mammalian brain. Neural stem cells (NSCs) in the SVZ have certain key features: they express glial fibrillary acidic protein (GFAP), proliferate slowly, have a radial glia-like (RG-L) morphology, and are in contact with the cerebrospinal fluid (CSF). NSCs have been isolated by FACS to analyse them, but their morphology has not been systematically examined. To address this knowledge gap, we sparsely labelled RG-L cells in the SVZ of neonatal mice by introducing via electroporation a plasmid expressing fluorescent protein under the control of the GFAP promoter. We then classified RG-L cells into three types (RG-L1, 2, and 3) based on their morphologies. RG-L1 cells had a basal process with some branches and numerous fine processes. RG-L2 cells had a basal process, but fewer branches and fine processes than RG-L1 cells. RG-L3 cells had one basal process that was almost free of branches and fine processes. Importantly, regardless of the cell type, about half of their somata resided on the basal side of the SVZ. Based on changes in their proportions during postnatal development and their expression of GFAP and cell proliferation markers at the adult stage, we speculated that NSCs change their morphologies during development/maturation and not all NSCs must always be in the apical SVZ or in contact with the CSF. Our results indicate that in addition to expression of markers for NSCs, the morphology is a critical feature to identify NSCs.