Incidence of postoperative pain after single-visit and multiple-visit root canal therapy: a systematic review.

AIM- The objective of the systematic review is to evaluate the incidence of postoperative pain after single-visit and multiple-visit root canal therapy. METHODS- Published research indexed in PubMed or Scopus or Cochrane or DOAJ or Web of Science evaluating the frequency percentage of postoperative aching after one and several root canal therapy appointments through randomized controlled trials or prospectively were included. RESULT- Most surveys utilized VAS (Visual Analogue Scale) to estimate the degree of pain among the participants.

Efficacy of ultrasound guided erector spinae plane block compared to wound infiltration for postoperative analgesia following laparoscopic living donor nephrectomy: a double-blinded randomized controlled trial.

Background: Postoperative pain remains a significant problem in patients undergoing donor nephrectomy despite reduced tissue trauma following laparoscopic living donor nephrectomy (LLDN). Inadequately treated pain leads to physiological and psychological consequences, including chronic neuropathic pain.

Materials And Methods: This randomized controlled double-blinded trial was conducted in sixty-nine (n = 69) participants who underwent LLDN under general anesthesia.

Unexpected placenta accreta spectrum in an unscarred uterus causing catastrophic post-partum hemorrhage: a case report and review of the literature.

Background: Placenta accreta spectrum (PAS) disorder is a fatal condition responsible for obstetric haemorrhage, which contributes to increased feto-maternal morbidity and mortality. The main contributing factor is a scarred uterus, often from a previous cesarean delivery, myomectomy, or uterine instrumentation. The occurrence of PAS in an unscarred uterus is extremely rare, with only anecdotal cases reported so far in the literature.

Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction.

Problem: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques.

Effectiveness of 'video-based interventions' of toothbrushing over other interventions on improvement of oral hygiene in children with Autism Spectrum Disorders (ASD): a systematic review and meta-analysis.

Background: Children with Autism exhibit impairment of fine motor co-ordination and sensory sensibilities and hence can directly affect the toothbrushing leading to poor oral hygiene.

Aim: This current systematic review and meta-analysis (SRMA) aims to evaluate the effectiveness of Video-based intervention of toothbrush training over other methods on improvement of oral hygiene in children with autism spectrum disorders (ASD) MATERIALS AND METHODS: Prospero no: (CRD42023450168). 'PubMed', 'Cochrane', 'Ovid' databases were searched from 1 January 1980 to 1 August 2023 using pre-defined search strategy.

Longitudinal strain enhancement and bending deformations in piezoceramics.

Piezoelectric materials directly convert between electrical and mechanical energies. They are used as transducers in applications such as nano-positioning and ultrasound imaging. Improving the properties of these devices requires piezoelectric materials capable of delivering a large longitudinal strain on the application of an electric field.

Anaemia and iron deficiency in India: a venous blood-based survey of adolescents, adults, and the elderly in eight states.

Background: Surveys based on capillary blood show that anaemia is rampant in India, but capillary blood haemoglobin (Hb) may not accurately reflect venous blood Hb concentrations. Further, iron deficiency (ID) is thought to be the main cause of anaemia, there are no venous blood-based surveys to confirm this.

Methods: A community-based (urban, slum and rural) cross-sectional, venous blood survey was conducted in eight Indian states to estimate anaemia and ID prevalences from Hb and inflammation-corrected plasma ferritin concentrations in adolescents, adults, and elderly.

Clustering-based binary Grey Wolf Optimisation model with 6LDCNNet for prediction of heart disease using patient data.

In recent years, the healthcare data system has expanded rapidly, allowing for the identification of important health trends and facilitating targeted preventative care. Heart disease remains a leading cause of death in developed countries, often leading to consequential outcomes such as dementia, which can be mitigated through early detection and treatment of cardiovascular issues. Continued research into preventing strokes and heart attacks is crucial.

Otolith chemistry suggests population heterogeneity within a genetically homogeneous Indian scad population along Indian coast.

The Indian scad, Decapterus russelli is one of the most exploited pelagic resources of India. Population genetic analyses using mitochondrial and nuclear markers indicated a lack of genetic structuring among populations from Indian waters. As this species is highly migratory, it is also important to establish the environmental influence on its population structure.

Enhancing water quality and well-being of Penaeus vannamei (Boone, 1931) in Inland saline systems using mixed biochar amendments.

An experiment was conducted for 60 days in a 500L capacity FRP tank containing inland ground saline water (fortified to a level of 50% potassium) with one control (sediment) and three treatments; T1(Paddy Straw Biochar (PSB) in sediment), T2 (Banana Peduncle Biochar (BPB) in sediment), and T3 (PSB + BPB in sediment). Biochar (100 g) was amended with sediment (25 kg) at 9 tons/ha. Shrimps of average weight 5 ± 0.

Copper and nickel doped carbon dots for rapid and sensitive fluorescent turn-off detection of bilirubin.

Carbon dots doped with metals and non-metals have gained much popularity due to the enhancement in their optical and electronic properties. In this study, polyethyleneimine-functionalized transition metal (nickel or copper) doped carbon dots (CD, NiCD and CuCD) were synthesized through hydrothermal method. The carbon dots exhibited a blue fluorescence at 470 nm when excited at 350 nm.

Oxidative toxicity mediated oophoritis alters ovarian growth in Channa punctatus under prolonged exposure to herbicide, paraquat dichloride.

Herbicide paraquat dichloride, a potent redox agent found its way to natural water bodies and influences their health; however, its impact on the reproductive health of fish is potentially less studied and requires clear investigation. This study was conducted to elucidate its effect on the gonadal health of female fish, Channa punctatus over 60 days. The 96-h LC of test herbicide was calculated as 0.

One-quarter of freshwater fauna threatened with extinction.

Freshwater ecosystems are highly biodiverse and important for livelihoods and economic development, but are under substantial stress. To date, comprehensive global assessments of extinction risk have not included any speciose groups primarily living in freshwaters. Consequently, data from predominantly terrestrial tetrapods are used to guide environmental policy and conservation prioritization, whereas recent proposals for target setting in freshwaters use abiotic factors.

Wind energy assessment and hybrid micro-grid optimization for selected regions of Saudi Arabia.

This study investigates the optimization of wind energy integration in hybrid micro grids (MGs) to address the rising demand for renewable energy, particularly in regions with limited wind potential. A comprehensive assessment of wind energy potential was conducted, and optimal sizing of standalone MGs incorporating photovoltaic (PV) systems, wind turbines (WT), and battery storage (BS) systems was performed for six regions in the Kingdom Saudi Arabia. Wind resource analysis utilizing the Weibull distribution function shows that all regions exhibited Class 1 wind energy characteristics, with average annual wind power densities ranging from 36.

An approach for load frequency control enhancement in two-area hydro-wind power systems using LSTM + GA-PID controller with augmented lagrangian methods.

This paper proposes an advanced Load Frequency Control (LFC) strategy for two-area hydro-wind power systems, using a hybrid Long Short-Term Memory (LSTM) neural network combined with a Genetic Algorithm-optimized PID (GA-PID) controller. Traditional PID controllers, while extensively used, often face limitations in handling the nonlinearities and uncertainties inherent in interconnected power systems, leading to slower settling time and higher overshoot during load disturbances. The LSTM + GA-PID controller mitigates these issues by utilizing LSTM's capacity to learn from historical data by using gradient descent to forecast the future disturbances, while the GA optimizes the PID parameters in real time, ensuring dynamic adaptability and improved control precision.

A hybrid CNN model for classification of motor tasks obtained from hybrid BCI system.

The Hybrid-Brain Computer Interface (BCI) has shown improved performance, especially in classifying multi-class data. Two non-invasive BCI modules are combined to achieve an improved classification which are Electroencephalogram (EEG) and functional Near Infra-red Spectroscopy (fNIRS). Classifying contralateral and ipsilateral motor movements is found challenging among the other mental activity signals.

An intelligent attention based deep convoluted learning (IADCL) model for smart healthcare security.

In recent times, there has been rapid growth of technologies that have enabled smart infrastructures-IoT-powered smart grids, cities, and healthcare systems. But these resource-constrained IoT devices cannot be protected by existing security mechanisms against emerging cyber threats. The aim of the paper is to present an improved security for smart healthcare IoT systems by developing an architecture for IADCL.

Boosting skin cancer diagnosis accuracy with ensemble approach.

Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective therapy depends on precise classification of the several skin cancer forms, each with special traits. Because dermoscopy and other sophisticated imaging methods produce detailed lesion images, early detection has been enhanced.

Economic burden of breast cancer in India, 2000-2021 and forecast to 2030.

Background Breast cancer represents a significant public health concern in India, accounting for 28% of all cancer diagnoses and imposing a substantial economic burden. This study introduces a novel approach to forecasting the number of breast cancer cases (based on prevalence rates) and estimating the associated economic impact in India using the autoregressive integrated moving average (ARIMA) model. Methods Data on the prevalence of breast cancer in India from 2000 to 2021 were obtained from the Global Burden of Disease (GBD) database.

Enhancing photocatalytic hydrogen peroxide generation by tuning hydrazone linkage density in covalent organic frameworks.

The conversion of solar energy into chemical energy or high-value chemicals has attracted considerable research interest in the context of the global energy crisis. Hydrogen peroxide (HO) is a versatile and powerful oxidizing agent widely used in chemical synthesis and medical disinfection. HO also serves as a clean energy source in fuel cells, generating electricity with zero-carbon emissions.

The q-RASPR approach for predicting the property and fate of persistent organic pollutants.

This study presents a quantitative read-across structure-property relationship (q-RASPR) approach that integrates the chemical similarity information used in read-across with traditional quantitative structure-property relationship (QSPR) models. This novel framework is applied to predict the physicochemical properties and environmental behaviors of persistent organic pollutants, specifically polychlorinated biphenyls (PCBs) and polybrominated diphenyl ethers (PBDEs). By utilizing a curated dataset and incorporating similarity-based descriptors, the q-RASPR approach improves the accuracy of predictions, particularly for compounds with limited experimental data.

Identification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancers.

Metabolic reprogramming, vital for cancer cells to adapt to the altered microenvironment, remains a topic requiring further investigation for different tumor types. Our study aims to elucidate shared metabolic reprogramming across breast (BRC), colorectal (CRC), and lung (LUC) cancers. Leveraging gene expression data from the Gene Expression Omnibus and various bioinformatics tools like MSigDB, WebGestalt, String, and Cytoscape, we identified key/hub metabolism-related genes (MRGs) and their interactions.

Dual-targeting CRISPR-CasRx reduces C9orf72 ALS/FTD sense and antisense repeat RNAs in vitro and in vivo.

The most common genetic cause of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) is an intronic GC repeat expansion in C9orf72. The repeats undergo bidirectional transcription to produce sense and antisense repeat RNA species, which are translated into dipeptide repeat proteins (DPRs). As toxicity has been associated with both sense and antisense repeat-derived RNA and DPRs, targeting both strands may provide the most effective therapeutic strategy.

Multi-Class Brain Tumor Grades Classification Using a Deep Learning-Based Majority Voting Algorithm and Its Validation Using Explainable-AI.

Biopsy is considered the gold standard for diagnosing brain tumors, but its invasive nature can pose risks to patients. Additionally, tissue analysis can be cumbersome and inconsistent among observers. This research aims to develop a cost-effective, non-invasive, MRI-based computer-aided diagnosis tool that can reliably, accurately and swiftly identify brain tumor grades.

Transcending Time and Space in the Search for Synthesis: A Commentary on Paranjpe's Understanding Yoga Psychology: Indigenous Knowledge with Global Relevance.

This volume makes a notable contribution with a deep and extensive analysis to achieve the movement from Yoga Philosophy to Yoga Psychology for the promotion of integration with Modern Psychology, a task hitherto unrealized despite the burgeoning attention to Yoga. This commentary is constrained by my own limited knowledge of traditional Indian philosophy in making a thorough examination of Paranjpe's contribution beyond attention to selected concepts and sporadic illustrations from the original volume. Yoga practice is, Paranjpe informs us, just the tip of an immense consolidation of knowledge, deep intellectual thought and theoretical consideration about the embodied sense of self, health and well-being.