Research Landscape of Lymphovascular Invasion in Oral Squamous Cell Carcinoma: A Bibliometric Analysis From 1994 to 2023.

The primary factor affecting tumor biology is neo-lymphangiogenesis in solid epithelial malignancies like oral squamous cell carcinoma (OSCC). Determining the impact of lymphovascular invasion is critical in order to determine OSCC's locoregional and global dissemination. Bibliometric landscapes are vital to learning about the most recent advancements in the aforementioned topic because the ongoing research in OSCC is multifaceted. This analysis can reveal the progressions that might modernize OSCC diagnosis and treatment. The present analysis has been therefore undertaken to study the relevance and effects of lymphovascular invasion in OSCC utilizing co-occurrence of keywords analysis and co-authorship analysis in the PubMed database. The keywords included "lymphovascular invasion in oral squamous cell carcinoma" using the Boolean operator (AND). A cross-sectional bibliometric analysis of full-text articles from 1994 to 2023 using VOSviewer (Version 1.6.19; Centre for Science and Technology Studies, Leiden University, The Netherlands) was performed. The data obtained was analyzed for co-occurrence and co-authorship analysis using the VOSviewer standard protocol. The query revealed 296 searches in the PubMed database. Seven clusters were found with default colors in the representation of the entire term co-occurrence network, which also displayed a total link strength of 22,262. The items were categorized into clusters based on their commonalities. The labels' weights, as determined by links and occurrences, did not depend on one another, and the co-occurrence of keywords does not imply a causal association. In the item density visualization, item labels represented individual things. The number of items from a cluster that was close to the point was represented by the weight given to its color, which was formed by combining the colors of other clusters. A network of 57 authors who matched the search parameters was discovered by the co-authorship analysis. The network visualization map displayed three clusters with a total link strength of 184. The quantity of co-authorship relationships and the number of publications did not appear to be significantly correlated. In conclusion, this investigation uncovered a sizable body of bibliometric data that emphasizes key trends and advancements in the aforementioned theme. The observed variances may be a result of the various objectives of the researchers and journals, who collaborate to provide the best possible literature dissemination.

A novel finite spectral entropy: Gated term memory unit recursive network integrated with Ladybug Beetle Optimization algorithm for epileptic seizure detection.

Professional medical experts use a visual electroencephalography (EEG) signal for epileptic seizure detection, although this method is time-consuming and highly subject to bias. The majority of previous epileptic detection techniques have poor efficiency, detection performance and also which are unsuited to handle large datasets. In order to solve the aforementioned issues and to assist medical professionals with an advanced technology, a computerized epileptic seizure detection system is essential. Therefore, the proposed work intends to design an automated detection tool for predicting an epileptic seizure from EEG signals. For this purpose, a novel non-linear feature analysis and deep learning algorithms are deployed in this work. Initially, the signal decomposition, filtering and artifacts removal operations are carried out with the use of finite Haar wavelet transformation technique. After that, the finite spectral entropy (FSE) based feature extraction model has been used to extract the time, frequency, and time-frequency features from the normalized signal. Consequently, the novel gated term memory unit recursive network (GTRN) model is employed to predict the given EEG signal as whether healthy or seizure affected including the class with high accuracy. During this process, the recently developed Ladybug Beetle Optimization (LBO) algorithm is used to compute the logistic sigmoid function based on the solution. The purpose of using this algorithm is to simplify the process of classification with increased seizure prediction accuracy and performance. Moreover, the standard and popular benchmark EEG datasets are used to validate and test the results of the proposed FSE-GTRN-LBO mechanism. By leveraging the finite Haar wavelet transformation and FSE-based feature extraction, we can efficiently process EEG signals. The utilization of the GTRN model enables accurate classification of healthy and seizure-affected EEG data. To optimize the classification process further, we integrate the LBO algorithm, streamlining the computation of the logistic sigmoid function. Through comprehensive validation on standard EEG datasets, our proposed FSE-GTRN-LBO mechanism achieves outstanding seizure prediction accuracy and performance, surpassing existing state-of-the-art techniques.

Computational, biochemical and ex vivo evaluation of xanthine derivatives against phosphodiesterases to enhance the sperm motility.

Enhancing sperm motility in vitro has immensely benefited assisted conception methods. Phosphodiesterases (PDE) break the second messenger cAMP, and therefore, inhibition of their catalytic activity enhances the sperm motility through maintaining cAMP homeostasis in sperm. In view of identifying the molecules that could inhibit PDE functioning in spermatozoa, we aimed to evaluate the phosphodiesterase inhibitors (PDEI) - xanthine derivatives - acefylline, dyphylline and proxyphylline to repurpose them for assisted reproductive technology. These are available in the market as pharmaceutical agents to treat mainly respiratory system diseases. Based on the structure guided in silico studies, we predicted that these molecules bind to the cAMP binding catalytic pocket of PDE enzymes, and further molecular dynamics simulation analysis indicated that these molecules form the stable complexes. Isothermal titration calorimetry studies revealed that acefylline has better affinity towards PDE4A, PDE4D and PDE10A, when compared to dyphylline and proxyphylline. In addition, ex vivo studies corroborated in vitro binding studies that acefylline has much superior sperm motility enhancement property on human ejaculated spermatozoa and mouse testicular spermatozoa compared to dyphylline and proxyphylline.Communicated by Ramaswamy H. Sarma.

Prognostic Relevance of Lymphatic Vessel Density in Squamous Cell Carcinomas of the Oral Cavity: A Systematic Review and Meta-Analysis.

BACKGROUND: Oral Squamous Cell Carcinoma (OSCC), a major debilitating illness demands focus in recent times due to a constant upsurge in cases and poor prognostic implications. An urgent mandate upon finding evidence of relevant prognostic markers is the need of the hour. This systematic review and meta-analysis, therefore, elect an objective assessment of Lymphatic Vessel Density (LVD) as a pertinent parameter governing OSCC prognosis. METHODS: The study protocol was registered at the International Prospective Register Of Systematic Reviews (PROSPERO). Databases were searched using the MeSH keywords for all study types following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The exposure under consideration was the evaluation of LVD in patients of OSCC. The outcome was measured as pooled Hazard/Odd's/Risk ratios in survived versus non-survived OSCC population. The risk of bias assessment was performed using the QUIPS tool. Heterogeneity was assessed by Chi-square and I2 statistics whereas publication bias was investigated using Egger's test of significance. All the statistical analysis was conducted using STATA version 13.0. RESULTS: The initial search of 226 records were screened and filtered through the inclusion and exclusion criteria to achieve an outcome of 15 studies for qualitative synthesis out of which seven studies were eligible for meta-analysis. Pooled Hazard of enhanced Lymphatic Vessel Density was not found to be statistically significant (HR = 1.98, p = 0.553); contrary to the pooled Odd's/Risk for patient survival which was statistically significant (RR = 1.33, p = 0.046). The I2 test of heterogeneity was also significant (58.8%, p = 0.046). CONCLUSIONS: This meta-analysis helps to generate pathfinding evidence for a noteworthy role of Lymphatic Vessel Density evaluation in suggesting OSCC prognosis.

Localization of mandibular foramen relative to landmarks in East Indian mandibles.

CONTEXT: The position of mandibular foramen (MF) is an important anatomical landmark for effective anesthesia in dentistry for many procedures, including dental extraction from the lower jaw and putting mandibular implants. Several causes have been examined in this context, and the uncertainty in the location of the MF has been examined to be a major factor for the high failure rate of anesthesia and complications of the orthodontic procedure. AIMS: The purpose of this study was to examine and analyze the position of the MF relative to six bony landmarks on the ramus in the population of Jharkhand. SUBJECTS AND METHODS: The different parameters were measured in 30 dry adult's mandibles that were obtained from the Department of Anatomy. The data were tabulated and statistically analyzed. STATISTICAL ANALYSIS USED: Paired t-test. RESULTS: The mean distance between the MF and the respective landmarks was noted as 16.00 ± 3.50 mm for the anterior border, 10.21 ± 2.34 mm for the posterior border, 20.48 ± 3.89 mm for the superior border, 24.15 ± 4.97 mm for the inferior border, 33.46 ± 6.08 mm for the condyle, and 12.31 ± 4.88 mm for the internal oblique ridge for the right side. On the left side, these distances were 16.27 ± 3.9 for the anterior border, 10.28 ± 5.24 for the posterior border, 20.15 ± 3.8 for superior border, 24.86 ± 4.04 for inferior border 32.48 ± 4.73 for condyle, and 10.93 ± 4.06 for the inferior oblique ridge. Statistically, there was no significant difference in the distance to either side from selected 5 landmarks, the only exception being the condyle. CONCLUSIONS: Condyle and internal oblique ridge have been shown to be two new landmarks that may be used to find MF. Bilateral symmetry has been shown for all landmarks except for condyle.