From Castaways to Discoveries: Unveiling Treasures in Skin RNAseq Using a Novel Multidimensional Data Processing Workflow Including Infection-Host Dynamics.

Defining physiology and methods to measure biological mechanisms is essential. Extensive datasets such as RNA sequencing are used with little analysis of the knowledge gained from the various methodologies. Within this work, we have processed publicly available NCBI RNAseq datasets using a combination of bioinformatics tools for the largest physiological organ, the skin.

The effects of proximal and distal forms of stress on college student mental health and affective well-being.

The present study examined the role of proximal and distal stress, as well as social connection on college student socioemotional health. Students were enrolled in a large-scale, digital phenotyping study of well-being at a large US university (45% engineering students). The present analyses were estimated using self-report data from the 2021 spring academic term.

Recent Advances and Future Perspective in Computational Bioelectromagnetics for Exposure Assessments.

In the last few decades, extensive efforts have been dedicated to developing computational methods for modeling the interaction of the human body with electromagnetic fields (EMFs). These studies are crucial for the establishment of exposure limits in international standards and guidelines for human protection from EMF, as well as for advancing personalized dosimetry assessment for medical applications using EMF. To summarize the state-of-the-art knowledge in this field, the IEEE International Committee on Electromagnetic Safety (ICES) held an International Workshop on Computational Bioelectromagnetics in February 2024.

Waveforms of 4G and 5G Radiofrequency Signals: Are Differences Relevant to Biology or Health?

This Note briefly reviews, at a level that is intended to be accessible to non-specialists, the similarities and differences between waveforms of 4G Long-Term Evolution (4G LTE) and 5G New Radio (5G NR) transmitted by cellular base stations, as a resource for health physicists and others who are engaged in public communication about cellular telephone technologies. Despite the difference in levels of controversy presently existing between 4G LTE (introduced in 2008) and 5G NR (introduced in 2019), the differences in waveform as represented by the baseband waveform are minimal, although 5G NR offers system designers a much wider choice of parameters. Transmitted radiofrequency signals in both technologies appear noise-like, in a frequency range that is narrowly contained in the assigned channel.

Multiplexed epigenetic memory editing using CRISPRoff sensitizes glioblastoma to chemotherapy.

Background: Glioblastoma (GBM) carries a poor prognosis, and new therapeutic strategies are necessary to improve outcomes for patients with this disease. Alkylating chemotherapies including temozolomide (TMZ) and lomustine (CCNU) are critical for treating GBM, but resistance mechanisms, including hypomethylation of O6-methylguanine-DNA methyltransferase (MGMT) promoter, undermine treatment. CRISPRoff is a programmable epigenetic memory editor that can induce stable and heritable gene silencing after transient delivery, and we hypothesize that CRISPRoff could potentiate the activity of TMZ and CCNU through long term suppression of target genes.