Oxidative Stress, Lysosomal Permeability, and Mitochondrial-Derived Vesicles Induced in NL-20 Human Bronchial Cells Exposed to Benzo[ghi]Perylene.

Benzo[ghi] perylene (b[ghi]p) is classified as non-carcinogenic to humans, and there are currently no occupational exposure models available to identify its effects. The aim of this work was to evaluate the effect of b[ghi]p on the lysosomes of NL-20 cells (a human bronchial cell line) exposed to 4.5 μM for 3 h.

Spectrophotometric and nucleic acid-binding properties of halloysite clay nanotubes and kaolinite.

Halloysite particles (HNTs) are naturally occurring aluminosilicate nanotubes of low toxicity that have shown great promise for drug and biomolecule delivery into human and animal cells. Kaolinite particles retain the same layered structure as HNT, but do not form nanotubes. In this study, the spectrophotometric and sedimentation properties of the two clays in aqueous solutions and their abilities to associate with both small and large nucleic acids have been investigated.

An approach to robust condition monitoring in industrial processes using pythagorean membership grades.

In this paper, a robust approach to improve the performance of a condition monitoring process in industrial plants by using Pythagorean membership grades is presented. The FCM algorithm is modified by using Pythagorean fuzzy sets, to obtain a new variant of it called Pythagorean Fuzzy C-Means (PyFCM). In addition, a kernel version of PyFCM (KPyFCM) is obtained in order to achieve greater separability among classes, and reduce classification errors.

Contact Failure Identification in Multilayered Media via Artificial Neural Networks and Autoencoders.

The estimation of defects positioning occurring in the interface between different materials is performed by using an artificial neural network modeled as an inverse heat conduction problem. Identifying contact failures in the bonding process of different materials is crucial in many engineering applications, ranging from manufacturing, preventive inspection and even failure diagnosis. This can be modeled as an inverse heat conduction problem in multilayered media, where thermography temperature measurements from an exposed surface of the media are available.

A Model of Depression in University Faculty, Staff, and Health Care Workers Using an Automated Mental Health Screening Tool.

Objective: This study aimed to examine relationships among worked hours, stress, sleep hours, burnout, posttraumatic stress disorder (PTSD), anxiety, and depression reported by academic medical center employees.

Methods: Employees completed an anonymous electronic mental health survey with automated feedback that included self-help and professional local resources. Data were analyzed using structural equation modeling.

Undergraduate research experiences: mentoring, awareness, and perceptions-a case study at a Hispanic-serving institution.

Background: Undergraduate research experiences (UREs) have been proposed as means to increase the retention and engagement of minority-and more specifically Hispanic-college students in science, technology, engineering, and mathematics (STEM) majors. This study explores the impact of student characteristics such as gender, classification, ethnicity, and first-generation status on UREs of STEM students through four specific constructs that current literature deem particularly important: (1) research experiences, (2) mentoring experiences, (3) awareness of research opportunities and activities, and (4) perceptions on research. These constructs are here forth referred to as Experiences, Mentoring, Awareness, and Perceptions.