Phytochemical fingerprinting of phytotoxins as a cutting-edge approach for unveiling nature's secrets in forensic science.

The integration of phytochemistry into forensic science has emerged as a groundbreaking frontier, providing unprecedented insights into nature's secrets through the precise application of phytochemical fingerprinting of phytotoxins as a cutting-edge approach. This study explores the dynamic intersection of phytochemistry and forensic science, highlighting how the unique phytochemical profiles of toxic plants and their secondary metabolites, serve as distinctive markers for forensic investigations. By utilizing advanced techniques such as Ultra-High-Performance Liquid Chromatography (UHPLC) and High-Resolution Mass Spectrometry (HRMS), the detection and quantification of plant-derived are made more accurate in forensic contexts.

New thiazolidin-4-ones as anti-cervical cancer agents targeting EGFR: design, synthesis, and computational studies.

Aim: A new series of 3,4-dihydronaphthalen-1(2 h)-ylidene)hydrazineylidene)-5-substituted thiazolidin-4-one derivatives were designed and synthesized.

Results & Methodology: The new compounds were screened for in vitro antitumor activity against Hela cancer cell line. The compounds 7b, 7 h, and 7i produced more potent cytotoxicity than doxorubicin with IC values of 1.

Risk assessment and natural radionuclide content in black-sand deposits of North Sinai coast, Egypt.

The radioactivity levels and risk factors have been assessed for twenty-eight positions of Black-Sand (BS) surface deposits along the Mediterranean Sea coast of north Sinai, Egypt. Twenty-eight surface samples were collected from six local cities: El Ressa, Abo Sakl, Ghornata, El Arish, El Masaed, and El Rommana. The activity concentration values of the nuclides of the Ra, Th, and K of the collected samples were measured using a P-type HPGe detector with a relative efficiency of ∼100% where it is defined at 1.

The role of artificial intelligence literacy and innovation mindset in shaping nursing students' career and talent self-efficacy.

Background: As artificial intelligence (AI) transforms nursing education, AI literacy is becoming a critical necessity for increasing the career potential and talent of nursing students. Additionally, fostering an innovation mindset promotes adaptability, creativity and openness to new approaches, further boosting students' confidence in their careers. However, few studies have examined the impact of these competencies on nursing students' career and talent self-efficacy, underscoring the need for further investigation.