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School-based smoking prevention programs are typically identical for all students. Tailoring prevention materials to focus on individual needs with an emphasis on students at highest risk is a promising alternative. Recent prevention programs have tailored materials based on the Stages of Acquisition, an extension of the Stages of Change used to tailor smoking cessation materials effectively for adults. Three stages of acquisition have been identified: Acquisition Precontemplation (aPC), Acquisition Contemplation (aC) and Acquisition Preparation (aPR). However, about 90% of nonsmoking adolescents classify themselves in the aPC stage. A cluster analysis was performed, using the Decisional Balance and Situational Temptations scales, for three random subsamples of adolescents within the aPC stage (N(1)=N(2)=N(3)=514). Four distinct subtypes were identified in each subsample: High Risk, Protected, Ambivalent, and Risk Denial. External validity was established using family support for nonsmoking, peer variables, and stage classification at follow-up assessment (12, 24, and 36 months). Family support for nonsmoking was related to subtype much more strongly than peer interactions. Subjects in the Protected subgroup were the most likely to remain in the aPC stage at each follow-up assessment. Subtype membership, along with membership in the aC and aPR stages, provides important additional information for tailoring smoking prevention materials. Tailored interventions can focus on those adolescents at highest risk and limit or avoid expending resources on those at very low risk.
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http://dx.doi.org/10.1016/j.addbeh.2006.03.041 | DOI Listing |
Comput Methods Programs Biomed
August 2025
The Institute of Cancer Research, London, UK. Electronic address:
Background And Objective: Apparent Diffusion Coefficient (ADC) values and Total Diffusion Volume (TDV) from Whole-body diffusion-weighted MRI (WB-DWI) are recognised cancer imaging biomarkers. However, manual disease delineation for ADC and TDV measurements is unfeasible in clinical practice, demanding automation. As a first step, we propose an algorithm to generate fast and reproducible probability maps of the skeleton, adjacent internal organs (liver, spleen, urinary bladder, and kidneys), and spinal canal.
View Article and Find Full Text PDFZygote
September 2025
Field Centre for Sustainable Agriculture, Faculty of Agriculture, Niigata University, Niigata, Japan.
Aneuploidy in oocytes is a leading cause of implantation failure, miscarriage and congenital disorders. During meiosis, proper timing of chromosome segregation is regulated by the spindle assembly checkpoint (SAC) and the anaphase-promoting complex/cyclosome (APC/C). However, how pharmacological manipulation of these regulatory pathways affects aneuploidy remains incompletely understood.
View Article and Find Full Text PDFBiomedicines
August 2025
Department of Urology, School of Medicine, Soonchunhyang University, Seoul 14584, Republic of Korea.
The involvement of the intratumoral microbiome in prostate cancer progression is becoming increasingly acknowledged. This study analyzed the microbiome of prostate cancer tissues from patients with localized prostate cancer (LPC, stages 1-2) and advanced prostate cancer (APC, stages 3-4) to determine its association with cancer progression. Paraffin-embedded tissue samples obtained during radical prostatectomy underwent 16S rRNA amplicon-based profiling.
View Article and Find Full Text PDFPharmaceuticals (Basel)
August 2025
Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Burydah 51452, Saudi Arabia.
: Anaplastic lymphoma kinase (ALK) is a validated oncogenic driver in non-small cell lung cancer and other malignancies, making it a clinically relevant target for small-molecule inhibition. : Here, we report a computational discovery pipeline integrating structure-based virtual screening, machine learning-guided prioritization, molecular dynamics simulations, and binding free energy analysis to identify potential ALK inhibitors from a natural product-derived subset of the ZINC20 database. We trained and benchmarked eleven machine learning models, including tree-based, kernel-based, linear, and neural architectures, on curated bioactivity datasets of ALK inhibitors to capture nuanced structure-activity relationships and prioritize candidates beyond conventional docking metrics.
View Article and Find Full Text PDFBiomolecules
August 2025
Betul-Ziya Eren Genome and Stem Cell (GENKÖK) Center, Erciyes University, Kayseri 38039, Türkiye.
Epigenetic mechanisms and RNA signalling profoundly impact body growth during the early stages of embryonic development. RNA molecules, like microRNAs, play a vital role in early embryonic development, laying the groundwork for future growth and function. miR-124-3p microinjected into mouse fertilised eggs (miR-124-3p*) exhibited a significantly overgrowth phenotype.
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