Exploring the role of diffusive coupling in spatiotemporal chaos.

We explore the chaotic dynamics of a large one-dimensional lattice of coupled maps with diffusive coupling of varying strength using the covariant Lyapunov vectors (CLVs). Using a lattice of diffusively coupled quadratic maps, we quantify the growth of spatial structures in the chaotic dynamics as the strength of diffusion is increased. When the diffusion strength is increased from zero, we find that the leading Lyapunov exponent decreases rapidly from a positive value to zero to yield a small window of periodic dynamics which is then followed by chaotic dynamics. For values of the diffusion strength beyond the window of periodic dynamics, the leading Lyapunov exponent does not vary significantly with the strength of diffusion with the exception of a small variation for the largest diffusion strengths we explore. The Lyapunov spectrum and fractal dimension are described analytically as a function of the diffusion strength using the eigenvalues of the coupling operator. The spatial features of the CLVs are quantified and compared with the eigenvectors of the coupling operator. The chaotic dynamics are composed entirely of physical modes for all of the conditions we explore. The leading CLV is highly localized and localization decreases with increasing strength of the spatial coupling. The violation of the dominance of Oseledets splitting indicates that the entanglement of pairs of CLVs becomes more significant between neighboring CLVs as the strength of diffusion is increased.

Effective RNA isolation method for gram-positive and acid-fast bacteria: metamorphosed from conventional RNA isolation techniques.

The RNA-based study provides an excellent indication of an organism's gene expression profile. Obtaining high-yield and high-purity RNA from Gram-positive and acid-fast bacteria is difficult without high-end kits and facilities. We optimised effective and simple protocol for RNA isolation that is a combination of enzymatic, physical and chemical treatment to disrupt cells. We successfully isolated high quality intact total RNA with yields ranging from 23.13 ± 0.40 to 61.51 ± 0.27 µg and the 260/280 purity ratio of 1.95 ± 0.01 to 2.05 ± 0.01 from Staphylococcus aureus, Staphylococcus epidermidis, Enterococcus faecalis, and Mycobacterium smegmatis. These results represents a significantly enhanced yield and purity compared to other combination of techniques which we performed. Compared to previous studies the yield obtained by this method is high for the studied organisms. Furthermore the yielded RNA was successfully used for downstream applications such as quantitative real time PCR. The described method can be easily optimised and used for various bacteria.

Breath on the Brink: Navigating Anaesthesia Management in a Case With a Mediastinal Mass.

Mediastinal teratomas are rare, often asymptomatic, but clinically significant neoplasms that can manifest with a spectrum of symptoms, frequently attributed to the compression of surrounding critical anatomical structures. Here, we present the case of a 19-year-old male with respiratory distress and chest pain attributed to a large anterior mediastinal mass, ultimately diagnosed as a benign mature teratoma of the thymus. Radiological imaging revealed a large, partially cystic mass compressing the pulmonary arteries, aortic arch, and left main bronchus. Surgical excision was deemed necessary due to symptomatic presentation. Anaesthesia management during mediastinal mass excision posed significant challenges, with prompt sternotomy due to ventilation difficulties after induction. Immediate decompression of the mass improved ventilation and saturation. Despite postoperative complications, including pulmonary leaks necessitating tracheostomy, the patient achieved significant recovery. Anaesthesia strategy was to prioritise avoiding muscle relaxants and maintaining spontaneous ventilation to mitigate airway collapse and hemodynamic instability during induction. Collaboration between anaesthesia, surgical, and intensive care teams is vital for comprehensive preoperative assessment, intraoperative readiness, and postoperative care. This case underscores the importance of interdisciplinary collaboration and meticulous planning to optimise outcomes in patients undergoing surgery for mediastinal teratomas.

Randomised Trial of No, Short-term, or Long-term Androgen Deprivation Therapy with Postoperative Radiotherapy After Radical Prostatectomy: Results from the Three-way Comparison of RADICALS-HD (NCT00541047).

BACKGROUND AND OBJECTIVE: The use and duration of androgen deprivation therapy (ADT) with postoperative radiotherapy (RT) have been uncertain. RADICALS-HD compared adding no ("None"), 6-months ("Short"), or 24-mo ("Long") ADT to study efficacy in the long term. METHODS: Participants with prostate cancer were indicated for postoperative RT and agreed randomisation between all durations. ADT was allocated for 0, 6, or 24 mo. The primary outcome measure (OM) was metastasis-free survival (MFS). The secondary OMs included freedom from distant metastasis, overall survival, and initiation of nonprotocol ADT. Sample size was determined by two-way comparisons. Analyses followed standard time-to-event approaches and intention-to-treat principles. KEY FINDINGS AND LIMITATIONS: Between 2007 and 2015, 492 participants were randomised one of three groups: 166 None, 164 Short, and 162 Long. The median age at randomisation was 66 yr; Gleason scores at surgery were as follows: <7 = 64 (13%), 3+4 = 229 (47%), 4+3 = 127 (26%), and 8+ = 72 (15%); T3b was 112 (23%); and T4 was 5 (1%). The median follow-up was 9.0 yr and, with MFS events reported for 89 participants (32 None, 31 Short, and 26 Long), there was no evidence of difference in MFS overall (logrank p = 0.98), and, for Long versus None, hazard ratio = 0.948 (95% confidence interval 0.54-1.68). After 10 yr, 80% None, 77% Short, and 81% Long patients were alive without metastatic disease. The three-way randomisation was not powered to conventional levels for assessment, yet provides a fair comparison. CONCLUSIONS AND CLINICAL IMPLICATIONS: Long-term outcomes after radical prostatectomy are usually favourable. In those indicated for postoperative RT and considered suitable for no, short-term, or long-term ADT, there was no evidence of improvement with addition of ADT. Future research should focus on patients at a higher risk of metastases in whom improvements are required more urgently.

Prognostic Significance of "High" Tumor Budding and "High" Poorly Differentiated Clusters in Endometrial Carcinomas: Independent Predictors of Lymphovascular Space Invasion and Lymph Node Metastasis.

Tumor budding (TB) and poorly differentiated clusters (PDCs) are well-established prognostic factors in various cancers. This study aimed to assess the independent prognostic role of these markers in endometrial carcinomas. Retrospective analysis of endometrial carcinoma resection specimens by examining traditional histologic prognostic parameters. TB and PDC were observed at 20× magnification in ten fields at the invasive front and categorized as present or absent. In addition, a count of ≥5 was stratified as "high." Clinical and follow-up details were extracted from Gynecologic Oncology records. Sixty-five endometrial carcinomas were studied and were predominantly endometrioid (n=47, 72.3%). TB was identified in 52.3% of cases, with high TB observed in 38.5%. PDC was evident in 44.6%, with high PDC seen in 29.2%. Associations were significant between the presence of TB/high TB and higher tumor grade (P < 0.001), deep myometrial invasion (P = 0.006/P = 0.002), diffuse pattern of invasion (P = 0.007/P = 0.03), microcystic elongated and fragmented pattern (P < 0.001), lymphovascular space invasion, lymph node metastasis (P=<0.001) and International Federation of Gynecology and Obstetrics stage (P = 0.000/P = 0.002). PDC/high PDC showed similar associations, and, in addition, with nonendometrioid histologic type (P = 0.02) and tumor location in a lower uterine segment (high PDC, P = 0.009). After adjusting for other significant parameters, both high TB (P = 0.03) and high PDC (P = 0.031) emerged as independent prognostic parameters for lymphovascular space invasion or Lymph node metastasis. No recorded deaths or significant events occurred, precluding commentary on overall survival status. High TB and PDC are independent predictors of Lymph node metastasis in endometrial carcinomas. Their association with the microcystic elongated and fragmented pattern makes them histologic predictors of epithelial-mesenchymal transition. Their simple application underscores their potential as valuable additional prognostic indicators for endometrial carcinomas.

Nipple adenoma: A clinicopathological study over a period of six years in tertiary care center.

BACKGROUND: Nipple adenoma (NA) is a rare benign neoplasm of the nipple arising from the lactiferous duct. Often seen in middle aged women, presenting as a nodule, erosive, or ulcerative lesion and associated with serous or bloody discharge. Histologically, they comprise closely arranged tubules with papillary infoldings centered around the lactiferous ducts. It is most likely clinically confused with Paget's disease and histologically with invasive breast carcinoma or its precursor lesions. The aid of immunohistochemistry is valuable in differentiating these entities and to definitively exclude malignancy. MATERIALS AND METHODS: All cases with available slides and blocks, diagnosed as nipple adenoma, during the period of January 2015 to December 2021, will be identified through an appropriate query search from the pathology database. Clinico-radiological details and histopathology will be studied and analyzed. The available follow up data and clinical outcome will be assessed. RESULTS: Sixteen cases of nipple adenoma were studied and the median age at diagnosis was found to be 37 years. Nipple discharge and swelling were the most common presentations. Ultrasound imaging was done in 14 cases with the median size of lesion being 0.8cms. Seven underwent excision biopsy followed by histopathological examination. The most common histological pattern observed is "adenosis" pattern. Immunostains p63, smooth muscle myosin heavy chain (SMMHC) and CK5/6 were performed. Nine cases were on follow up but none had recurrence. CONCLUSION: NA is a benign entity with varied histological patterns. Histopathological examination with the aid of immunohistochemistry helps in diagnosis and to rule out other mimickers. Surgical excision is the treatment of choice.

Synergistic adsorption and photocatalytic degradation of tetracycline using a Z-scheme kaolin/g-C3N4/MoO3 nanocomposite: A sustainable approach for water treatment.

This research focuses on the synthesis and application of a novel kaolin-supported g-C3N4/MoO3 nanocomposite for the degradation of tetracycline, an important antibiotic contaminant in water systems. The nanocomposite was prepared through a facile and environmentally friendly approach, leveraging the adsorption and photocatalytic properties of kaolin, g-C3N4 and MoO3 nanoparticles, respectively. Comprehensive characterization of the nanocomposite was conducted using techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR) and optical spectra. The surface parameters were studied using N2 adsorption-desorption isotherm. The elemental composition was studied using X-ray photoelectron spectroscopy. The efficiency of the developed nanocomposite in tetracycline degradation was evaluated and the results revealed an efficient tetracycline degradation exhibiting the synergistic effects of adsorption and photocatalytic degradation in the removal process. The tetracycline degradation was achieved in 60 min. Kinetic studies and thermodynamic analyses provided insights into the degradation mechanism, suggesting potential applications for the nanocomposite in wastewater treatment. Additionally, the recyclability and stability of the nanocomposite were investigated, demonstrating its potential for sustainable and long-term application in water treatment.

Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer.

Emerging from the convergence of digital twin technology and the metaverse, consumer health (MCH) is witnessing a transformative shift. The amalgamation of bioinformatics with healthcare Big Data has ushered in a new era of disease prediction models that harness comprehensive medical data, enabling the anticipation of illnesses even before the onset of symptoms. In this model, deep neural networks stand out because they improve accuracy remarkably by increasing network depth and making weight changes using gradient descent. Nonetheless, traditional methods face their own set of challenges, including the issues of gradient instability and slow training. In this case, the Broad Learning System (BLS) stands out as a good alternative. It gets around the problems with gradient descent and lets you quickly rebuild a model through incremental learning. One problem with BLS is that it has trouble extracting complex features from complex medical data. This makes it less useful in a wide range of healthcare situations. In response to these challenges, we introduce DAE-BLS, a novel hybrid model that marries Denoising AutoEncoder (DAE) noise reduction with the efficiency of BLS. This hybrid approach excels in robust feature extraction, particularly within the intricate and multifaceted world of medical data. Validation using diverse datasets yields impressive results, with accuracies reaching as high as 98.50%. DAE-BLS's ability to rapidly adapt through incremental learning holds great promise for accurate and agile disease prediction, especially within the complex and dynamic healthcare scenarios of today.

SKping cell cycle regulation: role of ubiquitin ligase SKP2 in hematological malignancies.

SKP2 (S-phase kinase-associated protein 2) is a member of the F-box family of substrate-recognition subunits in the SCF ubiquitin-protein ligase complexes. It is associated with ubiquitin-mediated degradation in the mammalian cell cycle components and other target proteins involved in cell cycle progression, signal transduction, and transcription. Being an oncogene in solid tumors and hematological malignancies, it is frequently associated with drug resistance and poor disease outcomes. In the current review, we discussed the novel role of SKP2 in different hematological malignancies. Further, we performed a limited in-silico analysis to establish the involvement of SKP2 in a few publicly available cancer datasets. Interestingly, our study identified Skp2 expression to be altered in a cancer-specific manner. While it was found to be overexpressed in several cancer types, few cancer showed a down-regulation in SKP2. Our review provides evidence for developing novel SKP2 inhibitors in hematological malignancies. We also investigated the effect of SKP2 status on survival and disease progression. In addition, the role of miRNA and its associated families in regulating Skp2 expression was explored. Subsequently, we predicted common miRNAs against Skp2 genes by using miRNA-predication tools. Finally, we discussed current approaches and future prospective approaches to target the Skp2 gene by using different drugs and miRNA-based therapeutics applications in translational research.

Agmatine as a novel intervention for Alzheimer's disease: Pathological insights and cognitive benefits.

Alzheimer's disease (AD) is a devastating neurodegenerative disorder characterized by progressive cognitive decline and a significant societal burden. Despite extensive research and efforts of the multidisciplinary scientific community, to date, there is no cure for this debilitating disease. Moreover, the existing pharmacotherapy for AD only provides symptomatic support and does not modify the course of the illness or halt the disease progression. This is a significant limitation as the underlying pathology of the disease continues to progress leading to the deterioration of cognitive functions over time. In this milieu, there is a growing need for the development of new and more efficacious treatments for AD. Agmatine, a naturally occurring molecule derived from L-arginine, has emerged as a potential therapeutic agent for AD. Besides this, agmatine has been shown to modulate amyloid beta (Aß) production, aggregation, and clearance, key processes implicated in AD pathogenesis. It also exerts neuroprotective effects, modulates neurotransmitter systems, enhances synaptic plasticity, and stimulates neurogenesis. Furthermore, preclinical and clinical studies have provided evidence supporting the cognition-enhancing effects of agmatine in AD. Therefore, this review article explores the promising role of agmatine in AD pathology and cognitive function. However, several limitations and challenges exist, including the need for large-scale clinical trials, optimal dosing, and treatment duration. Future research should focus on mechanistic investigations, biomarker studies, and personalized medicine approaches to fully understand and optimize the therapeutic potential of agmatine. Augmenting the use of agmatine may offer a novel approach to address the unmet medical need in AD and provide cognitive enhancement and disease modification for individuals affected by this disease.

Use of Two Novel Dyes to Enhance Visualization of Cut Ends of the Vessel in Microvascular Anastomosis-An Experimental Study of 45 Rats.

BACKGROUND: Good visualization is a prerequisite for performing microvascular anastomosis. The most commonly used dye, methylene blue, has several limitations: it is washed off quickly and stains all the vessel layers. The objective of our study is to use 2 new novel dyes for improving visualization. METHODS: After ethical committee approval, 2 Dyes (2% cresyl violet, 1% eosin) were studied in 3 groups, 20 rats in each group and 5 rats in the combined group. End-to-side anastomosis was performed in the classic fashion in 45 rats. After venotomy, the dye was applied to the raw surface of the vessels and subsequently, anastomosis was performed. The improvement in visualization was judged by 3 blinded experts and nonexperts in 4 groups on a scale of 1-10. Scores were statistically analyzed. After 2 weeks, animals were re-explored to check the delayed patency, and segments were harvested for histopathologic analysis. RESULTS: The immediate and delayed patency rates were 100% (45/45) and 97% (33/34), respectively. In statistical analysis, the combined group (P = 0.005)was judged statistically significant because of the contrast in color. All the layers were stained by both dyes, staining lasted until the end of the surgery. Visibility of the cut ends was better in cresyl violet. All histopathologic findings suggested normal changes at the anastomotic site. CONCLUSIONS: This study showed that the use of these 2 dyes was not only feasible but highly efficacious. Even though all the layers were stained by both the dyes, the visibility of the cut ends was better. In both dyes, staining lasted until the end of surgery. To the best of our knowledge, this is the first study that has used these 2 novel dyes to improve visualization in microvascular anastomosis in an experimental setting.

Multiple Ion Charge Extraction (MICE) for High-Throughput Charge Detection Mass Spectrometry.

Charge detection mass spectrometry (CD-MS) is a single-particle technique, where the masses of individual ions are determined from simultaneous measurements of their mass-to-charge ratio (m/z) and charge. The ions are trapped in an electrostatic linear ion trap (ELIT) and oscillate back and forth through a conducting cylinder connected to a charge-sensitive amplifier. The oscillating ions generate a periodic signal that is processed with fast Fourier transforms (FFTs) to obtain the oscillation frequency (which is related to m/z) and magnitude (which is proportional to the charge). The simultaneous trapping of two or more ions is a way to increase throughput. However, when multiple ions are trapped, it is possible that some of them have overlapping oscillation frequencies, which can lead to an error in the charge determination. To avoid this error, results from overlapping ions are usually discarded. When measurements are performed with many trapped ions, the most abundant m/z species are discarded at a higher rate, which affects the relative abundances in the mass distribution. Here, we report the development of a post-processing method called multiple ion charge extraction (MICE) that uses a statistical approach to assign charges to ions with overlapping frequencies. MICE recovers single-ion information from high signal measurements and makes the relative abundances more resilient to the signal intensity. This approach corrects for high signal m/z biasing, allowing analysis to be faster and more reliable. Using MICE, CD-MS measurements were made at rates of 120 ions/s with little m/z biasing.

Informatics guided FE design of bioactive titanium alloy/composite multi-layered dental implants.

A dental implant with three distinct layers, of titanium alloy at core, porous titanium alloy at the intermediate layer and titanium alloy hydroxyapatite composite at the outer layer, is designed to achieve low elastic modulus and adequate strength with bioactive surface. Artificial Neural Network (ANN) along with Rule of Mixture (ROM) is used to generate the objective functions for the Genetic Algorithm (GA) based multi-objective optimization for achieving the optimal designs, which are validated using Finite Element Analysis (FEA) simulations. The composition and processing parameters are correlated with the yield strength and elastic modulus of titanium alloy using ANN. The ANN models are generated to express the strength and effective modulus of the implant using ROM. To determine the optimal composition of titanium alloys, porous layers, and composite layers for a three-layer dental implant, multi-objective genetic algorithm is employed. The Pareto optimal solutions provide the guidelines for designing the implant. A few selected non-dominated solutions are used for studying the actual stress distribution at the bone-implant interface using FEA, and showed significant improvements compared to conventional implants.

Marine Collagen Matrix Carrier with Injectable Platelet-Rich Fibrin in Management of Gingival Recession Defects.

Background: The gold standard in the management of gingival recession (GR) defects has been connective tissue graft (CTG) with coronally advanced flap (CAF). But patient morbidity associated with graft harvesting is a major drawback and has led to the development of various substitute biomaterials which have been tried and tested. Aim: Our study is aimed at checking the efficacy of marine collagen matrix (MCM) impregnated with injectable platelet-rich fibrin (I-PRF) with modified CAF in the treatment of Miller's class I and II recession defects. Case Description. Six patients with ten GR defects in maxilla were treated with CAF + MCM + I-PRF. Clinical parameters like recession height (RH), recession width (RW), root coverage (RC%), width of attached gingiva (WAG), keratinized tissue height (KTH), probing pocket depth (PPD), clinical attachment level (CAL), gingival biotype (GB), plaque index (PI), and visual analogue score (VAS-E) esthetic scores were evaluated up to six months. There was significant root coverage observed at three- and six-month follow-ups. Conclusion: The proposed treatment was effective in the management of GR defects and improvement in soft tissue biotype without the morbidity associated with soft tissue harvest.

Comparative Evaluation of Salivary Parameters in Tobacco Substance Abusers.

BACKGROUND: Tobacco use by youth is ever-demanding, and it is increasingly distributed not only in India but also globally. Saliva is a complex oral bio-fluid, freely available, performing absolute tasks for maintaining oral health and homeostasis. It contains a plethora of significant constituents such as proline-rich proteins (PRPs), immunoglobulins, IgA, enzymes lysozyme, lactoferrin, peroxidases, amylase, etc. The basic ecological balance of the oral cavity is stabilized via salivary clearance by reduced aggregation and adherence of microorganisms by direct microbial activity. This balance of oral activity is also done by indirect mechanisms by immunological as well as non-immunological means and also by effectively regulating salivary pH flow rate. This institutional observational study was planned to assess and compare salivary parameters (pH, salivary flow rate), total proteins, α-amylase, calcium, phosphate, and IgA, of unstimulated whole saliva of both tobacco abusers and tobacco non-users. METHODS: The Study consisted of 270 participants (Tobacco habit) group, n = 135 and Control (Healthy) group, n = 135 and were in the age range of 20-50 years. They were assessed for oral health status, followed by the analysis of salivary pH, flow rate, total proteins, amylase, calcium, phosphates, and IgA of unstimulated whole saliva. RESULTS: Comparative evaluation of salivary parameters among groups found that varying tobacco abusers had increased salivary amylase, protein levels, and phosphate whereas decreased salivary pH, flow rate, IgA, and in the whole unstimulated saliva samples than those of non-tobacco users. This difference among groups was statistically significant. (p < 0.05), and calcium levels were not altered significantly. CONCLUSIONS: This study concludes that salivary parameters are altered in tobacco abusers when compared to those of non-abusers, and it was more significant in smokeless tobacco abusers than in any other form of tobacco abuse.

Factors influencing time management skills among nurses in North West Bank, Palestine.

BACKGROUND: In today's companies, time management abilities have grown as a significant predictor of nurses' success. Organizations have simplified their internal operations and flattened their organizational structures in an effort to increase productivity and cut expenses. As a result, successful time management skills are particularly crucial for nurses in recently restructured healthcare organizations. This study aimed at exploring factors influencing time management skills among Palestinian nurses. METHODS: Cross-sectional quantitative study of all nurses (715) working in private and government hospitals and primary healthcare centers in north Palestine was conducted. Time management skills were measured on a continuous scale using the Nursing Time Management Scale (NTMS), Arabic version. The scale measures various aspects of time management including goal setting, planning, scheduling, and organizing activities. The relationship between time management skills and background variables was assessed using the multivariate linear regression. RESULTS: The average total score for NTMS scale was 63.39 out of a total score of 90. This score indicates relatively good time management skills among the respondents. The multivariate linear regression results showed that females obtained slightly lower scores than males, coefficient = -2.36, p = 0.043. Nurses in primary care centers had significantly higher scores than nurses who work at hospitals, coefficient = 4.47, p = 0.004. The type of healthcare organization emerged as a significant factor predicting time management skills. Nurses in private hospitals had worse time management skills than nurses in government hospitals, coefficient = -12.27, p < 0.001. Nurse supervisors had better time management skills than staff nurses, coefficient = 4.01, p = 0.023. Nurses working in non-teaching hospitals had worse time management skills than nurses in teaching hospitals, coefficient = - 3.86, p = 0.001. Nurses who did not attend a time management course had worse time management skills than nurses who attended time management course, coefficient = - 4.05, p = p < 0.001. CONCLUSIONS: Healthcare institutions should consider organizational and individual factors to improve the time management skills of their staff. Time management training interventions are proven and effective policies that are recommended to be adopted by all healthcare centers.

Comparison of noninvasive cardiac output monitoring by electrical cardiometry with transthoracic echocardiography in postoperative paediatric cardiac surgical patients - A prospective observational study.

Aim: The present study was conducted to validate cardiac output (CO) and cardiac index (CI) obtained from electrical cardiometry (EC) ICON ® with transthoracic echocardiography (TTE) in postoperative pediatric cardiac surgical patients. Materials and Methods: A prospective observational study was conducted in 25 pediatric patients with age < 10 years who underwent elective cardiac surgery. Data Analysis: BlandAltman plot was constructed for interchangeability and Polar plot was constructed to know trending ability. Results: A total of 250 datasets were analyzed. Spearman's correlation coefficient for CO between ICON ® and TTE showed good positive correlation (r = 0.850, 95% confidence interval 0.81 to 0.881, P <.0001). Moderate positive correlation was observed between ICON ® and TTE for CI (r = 0.60, 95% confidence interval 0.515 to 0.674, P <.0001). Linear regression equations for CO and CI between ICON ® and TTE were: y = 0.5230 + 0.8078 X (R2 = 0.6597, P <.001) and y = 1.8350 + 0.5869 X (R2 = 0.3985, P <.001) [y- ICON ®; X - TTE], respectively. BlandAltman plot for CO between ICON ® and TTE showed a bias of 0.3012 with limits of agreement (LOA) being -0.69 to 1.3 and for CI bias was 0.6939 with LOA-2.1 to 3.5. Polar plot analysis showed an angular bias of 8.1750, with radial LOA being -13.74° to 30.08° for CO and angular bias of 6.6931, with radial LOA being -15.69° to 29.07° for CI. Conclusion: ICON ® monitor-derived parameters are not interchangeable with the values derived from TTE. However, the ICON ® monitor demonstrated a good trending ability for both CO and CI.

Success rate of immediately loaded implants in the posterior zone.

Dental implants are considered an ideal treatment for a missing single tooth. Immediate loading of implants can hasten the procedure, providing comfort to the patients. Recently, immediate loading of implants has gained much importance as it helps hasten the procedure and provides more comfort to patients. A previous systematic review published 5 years ago compared the success rates between immediate and conventional loading. There are several factors that influence the success rate of implants that were not discussed in detail in the previous review. Hence, the present systematic review is done to report differences in the outcomes from single implant restorations of missing teeth in the posterior region in patients who were subjected to immediate loading and conventional loading. A follow up for 1 year was done. Electronic databases of Medline, Scopus, and Web of Science were searched for publications in the English Language during May 2021. The search results yielded 306 articles, out of which 225 were excluded based on title and abstract screening. Screening of the remaining 81 full text articles yielded 14 original research articles that satisfied the predefined inclusion criteria. Meta analysis was not possible due to the heterogeneity of the data. The overall success rate of the immediate loading of a single implant is 94.31%. Implants in the maxillary region had a higher survival rate than those in the mandibular region. The age range between 18 and 80 years showed good prognosis and outcomes in older individuals. Good oral hygiene was emphasized for all patients to prevent any secondary conditions or delays in healing.

Screening of potential inhibitors against structural proteins from Monkeypox and related viruses of Poxviridae family via docking and molecular dynamics simulation.

Monkeypox virus (MPXV) is an orthopoxvirus which causes zoonotic infection in humans. Even though sporadic cases of this infection are limited to the African continent, but if the infection continues to increase unabated, it can be a cause of serious concern for the human populace. Smallpox vaccination has been in use against monkeypox infection but it only provides mild protection. In the current study, we have screened novel small molecules (estrone fused heterocycles (EH1-EH7)) exhibiting good binding with monkeypox virus protein and related proteins from Poxviridae family of viruses via computational approaches. EH1-7 series of small molecules selected for the work have been synthesized via cycloaddition methodology. Docking and Molecular Dynamics (MD) results highlight EH4 compound to have strong binding affinity towards monkeypox and other related viral proteins selected for the study. Thus, computational outcomes suggest EH4 as a good candidate against monkeypox. Currently, no antiviral medication has been approved against monkeypox and the treatment is only via therapeutics available for smallpox and related conditions that may be helpful against monkeypox. Our study is thus an attempt to screen novel compounds against monkeypox infection, which would, in turn, facilitate development of novel therapeutics against Poxviridae family. HIGHLIGHTSMonkeypox infection is a public health emergency and necessitates immediate drug discovery.Molecular docking study to screen estrone-fused heterocycles compounds against Monkeypox and other orthopoxviruses.Molecular dynamics simulations revealed interaction/high binding affinities among EH4 heterocyclic compound and profilin-like protein from the monkeypox virus.Estrone-fused heterocycles compounds are promising anti-viral agents as per our in silico analysis.Our study provides evidence for investigating estrone-fused heterocycles compounds for further pharmacological interventions.Communicated by Ramaswamy H. Sarma.

Monkeypox: This orthopoxvirus leads to mpox (monkeypox) disease which shows symptoms similar to that smallpox, however to less severe extent.Poxviridae family: This is commonly a family of double-stranded DNA viruses. The natural hosts for these viruses are arthropods and Vertebrates.Molecular Dynamic simulation: MD simulation is crucial for determining the ligand's stability and revealing the duration of its interaction with the respective macromolecular structure.Molecular Docking: Molecular docking aids in determining specific sites where the ligand binds with the macromolecule as well as its binding affinity. Bioinformatics tools such as docking have been widely employed for aiding drug discovery efforts.Protein binding energy: On docking protein with the ligand, the binding energy shows the free energy change during binding process between protein-ligand.

GastroNet: A Custom Deep Learning Approach for Classification of Anomalies in Gastrointestinal Endoscopy Images.

INTRODUCTION: Among all cancer forms, gastrointestinal (GI) cancer is the most serious condition that spreads quickly and requires early detection. GI disorders claim the lives of up to nearly two million people worldwide. To lower the mortality rate from GI cancer, early detection is essential. METHOD: For the identification of GI illnesses, such as polyps, stomach ulcers, and bleeding, endoscopy is the gold standard in the medical imaging industry. The numerous images produced by endoscopy require an enormous amount of time for the specialist to diagnose the disease. It makes manual diagnosis difficult and has sparked research on automatic computer-based approaches to diagnose all the generated images quickly and accurately. AI-based algorithms have already been used in endoscopy images with promising outcomes and have enhanced disease identification and classification with precision. However, there are still a lot of issues to be solved, including figuring out potential biases in algorithms and improving interpretability and generalizability. RESULT: The proposed GastroNet model creates a system for classifying digestive problems for the Kvasir Version 1 dataset. The framework consists of different CNN layers with multiple filters, and average max-pooling is used to extract image features. The optimization of network parameters is done using the Stochastic Gradient Descent (SGD) algorithm. CONCLUSION: Finally, the robustness of the proposed model is compared with other state-of-the-art models like VGG 19, ResNet 50, Inception, and Xception in terms of evaluation metrics.