Beyond Decay: Exploring the Age-associated Variations in and in Dental Caries.

Background: and play an important role in the etiopathogenesis and progression of dental caries (DC). Their quantification and identification may be helpful for epidemiological and early intervention measures.

Objectives: We conducted the study to evaluate the colony counts of and with the location of DC and correlate their prevalence with the age of the patient.

iDCNNPred: an interpretable deep learning model for virtual screening and identification of PI3Ka inhibitors against triple-negative breast cancer.

Triple-negative breast cancer (TNBC) lacks estrogen, progesterone, and HER2 expression, accounting for 15-20% of breast cancer cases. It is challenging due to low therapeutic response, heterogeneity, and aggressiveness. The PI3Ka isoform is a promising therapeutic target, often hyperactivated in TNBC, contributing to uncontrolled growth and cancer cell formation.

Innovative and polygonal trend analysis of temperature in agro climatic zones of India.

Understanding the long-term trends in temperature is crucial for assessing the impacts of climate change on agriculture, human and animal health, and natural habitats. An in-depth analysis of long-term spatio-temporal trends of monthly maximum and minimum temperatures along with Diurnal Temperature Range (DTR) from 1951 to 2022 in various Agro-Climatic Zones (ACZs) of India was performed using newly introduced Innovative Polygonal Trend Analysis (IPTA) and Innovative Trend Analysis (ITA) along with traditional Mann-Kendall (MK) or modified Mann-Kendall (m-MK) tests. The MK/m-MK and IPTA assessments detected significant trends in 44.

Electric vehicles in transition: Opportunities, challenges, and research agenda - A systematic literature review.

This study conducts a systematic literature review on electric vehicle (EV) adoption, mapping critical themes and presenting an integrated framework to advance understanding of EVs' role in sustainable transportation. Drawing on 917 Scopus-indexed articles and 23 stakeholder interviews, it explores economic, environmental, energy, and social (EEES) dynamics through the Theory-Context-Methodology (TCM) framework and causal loop diagrams. Findings reveal dominant theories, such as the Theory of Planned Behavior and Value-Belief Norm Theory, and underscore the importance of methodological approaches like regression analysis and structural equation modeling.

Synergistic Chemo-Immunotherapy Using pH-Responsive Nanoparticles in Breast Cancer Treatment: In Vitro and In Vivo Studies.

Recent research underscores the pivotal role of the heterogeneous multicellular interactome within the tumor microenvironment (TME) in tumor progression and survival. Tumor-associated macrophages (TAMs), among other nonmalignant cells in the TME, promote an immunosuppressive environment, fostering tumor cell survival, proliferation, and resistance. Hence, combining chemotherapy with immunomodulatory agents to transition TAMs to an immunostimulatory phenotype holds immense therapeutic potential.