Digital cervicography using mobile phones with real-time consultation (DCRC) to improve performance of Visual Inspection with Acetic Acid (VIA) in cervical cancer screening of HIV-infected women. A cross-sectional study.

Introduction: Visual Inspection with Acetic Acid (VIA) has been adopted for cervical cancer screening in Kenya and other Low-Middle Income Countries despite providing suboptimal results among HIV-infected women. It is mostly performed by nurses in health centers. Innovative ways of improving the performance of VIA in HIV-infected women are desired.

A green bioanalytical spectrofluorimetric approach for estimation of Avapritinib anti-tumor drug; application to quality control and clinical studies.

Aims: Gastrointestinal stromal tumors (GISTs) account for about 80% of the mesenchymal tumors of the GI tract. About 5000-6000 patients are diagnosed in the United States (US) alone, and up to 14.5 cases per million discovered in Europe annually.

Boswellic acid synergizes with low-dose ionizing radiation to mitigate thioacetamide-induced hepatic encephalopathy in rats.

Hepatic encephalopathy (HE) is a syndrome that arises from acute or chronic liver failure. This study was devised to assess the impact of a combination of boswellic acid (BA) and low doses of gamma radiation (LDR) on thioacetamide (TAA)-induced HE in an animal model. The effect of daily BA treatment (175 mg/kg body weight, for four weeks) and/or fractionated low-dose γ-radiation (LDR; 0.

Free convection investigation for a Casson-based - nanofluid in semi parabolic enclosure with corrugated cylinder.

The optimization of heat transfer in various engineering applications, such as thermal management systems and energy storage devices, remains a crucial challenge. This study aims to investigate the potential of Casson-based Cu-HO nanofluids in enhancing free convection heat transfer within complex geometries. The research examines the free convection heat transfer and fluid flow characteristics of a Casson-based Cu-HO nanofluid within a semi-parabolic enclosure that includes a wavy corrugated cylinder.

Machine Learning Assisted Bithiophene Based Donor Acceptor Selection to Design New Fluoresent Dyes for Photovoltaic Applications.

This study investigates the electronic properties and photovoltaic (PV) performance of newly designed bithiophene-based dyes, focusing on their light harvesting efficiency (LHE), open-circuit voltage (V), fill factor (FF), and short-circuit current density (J).These new dyes are designed with the help of machine learning (ML) to design best donor acceptor designs. For this, we collect 2567 differenr electron donor groups and calculated their bandgap with the help of Random Forest (RF) Regression method.