Molecular interactions between surface-active ionic liquids based on 2-hydroxyethylammonium laurate with gabapentin: electrical conductivity and surface tension studies.

Surface active ionic liquids (SAILs), offer potential advantages for pharmaceutical applications. Given the low permeability of gabapentin, an antiepileptic drug, in the gastrointestinal tract as classified by the Biopharmaceutics Classification Systems (BCS), understanding the micellization behavior of SAILs is essential for developing effective drug delivery systems to improve gabapentin bioavailability. This study explores the micellization and thermophysical behavior of SAILs (2-hydroxyethyl)ammonium laurate [2-HEA][Lau], bis(2-hydroxyethyl)ammonium laurate [BHEA][Lau], and tris(2-hydroxyethyl)ammonium laurate [THEA][Lau] in the presence of aqueous gabapentin solution at varied temperatures through COSMO analysis, electrical conductivity and surface tension measurements.

Smart furniture using radar technology for cardiac health monitoring.

The integration of radar technology into smart furniture represents a practical approach to health monitoring, circumventing the concerns regarding user convenience and privacy often encountered by conventional smart home systems. Radar technology's inherent non-contact methodology, privacy-preserving features, adaptability to diverse environmental conditions, and high precision characteristics collectively establish it a compelling alternative for comprehensive health monitoring within domestic environments. In this paper, we introduce a millimeter (mm)-wave radar system positioned strategically behind a seat, featuring an algorithm capable of identifying unique cardiac waveform patterns for healthy subjects.

Evaluation of the consumption pattern and efficacy of Linezolid in COVID-19 hospitalized patients in a hospital in Tehran-Iran.

Background: The inappropriate use of antibiotics increases the costs of treatment, antibiotic resistance, increased disease length and duration of hospital stay.

Objectives: The aim of this study was investigating the pattern of use and effectiveness of the Linezolid in COVID-19 hospitalized patients.

Methods: In this retrospective cross-sectional analytical study was carried out from February 2020 (from the beginning of the pandemic in Iran) to the end of September 2020, 32 COVID-19 patients that used Linezolid were included.

Sub-100 Hz intrinsic linewidth 852 nm silicon nitride external cavity laser.

We demonstrate an external cavity laser with intrinsic linewidth below 100 Hz around an operating wavelength of 852 nm, selected for its relevance to laser cooling and manipulation of cesium atoms. This system achieves a maximum CW output power of 24 mW, a wavelength tunability over 10 nm, and a side-mode suppression ratio exceeding 50 dB. This performance level is facilitated by careful design of a low-loss integrated silicon nitride photonic circuit serving as the external cavity combined with commercially available semiconductor gain chips.

Assessment of operating room nurses' exposure to biological hazards: development and psychometric evaluation of a scale.

Background: Biological hazards are one of the most common threats that operating room personnel face. The present study was conducted to develop and test the psychometric properties of a scale for measuring operating room nurses' exposure to biological hazards.

Methods: This study is a methodological research that was conducted in two stages.

Honeybee defense mechanisms: Role of honeybee gut microbiota and antimicrobial peptides in maintaining colony health and preventing diseases.

Honeybees play a vital role in pollination and the maintenance of ecosystem biodiversity, making their health and well-being crucial for agriculture and environmental sustainability. Bee health is modulated by symbiotic microorganisms colonizing the gut in balanced proportions. Studies have demonstrated that these beneficial bacteria have the capacity to enhance the immune system of honey bees, having substantial impact on regulating their immunological responses and hence aiding in defending against pathogenic illnesses.

Does mindfulness-based stress reduction training have an impact on the occupational burnout and stress experienced by nurses? A randomized controlled trial.

Background: In an effort to combat burnout, a study investigates Mindfulness-Based Stress Reduction (MBSR) training for nurses. The goal is to reduce stress and improve job satisfaction, ultimately enhancing patient care. These findings may inspire the development of mindfulness-based support systems for healthcare professionals to promote overall well-being in the workplace.

Design and psychometrics of a tool for measuring social cognitive factors related to the preventive behaviors toward Covid-19 in the society.

With the emergence of new strains of Covid-19, the adoption of preventive behaviors is still considered a requirement to control this disease. Therefore, considering the importance of social cognitive factors in adopting various types of preventive behaviors, the present study was conducted to design and psychometrically measure the social cognitive factors related to Covid-19 preventive behaviors. A cross-sectional study was conducted on 526 people ages 18 and over with multi-stage stratified, cluster and random sampling in Isfahan, Iran in 2022.

Tissue engineering strategies for ocular regeneration; from bench to the bedside.

Millions globally suffer from visual impairment, complicating the management of eye diseases due to various ocular barriers. The eye's complex structure and the limitations of existing treatments have spurred interest in tissue engineering (TE) as a solution. This approach offers new functionalities and improves therapeutic outcomes over traditional drug delivery methods, creating opportunities for treating various eye disorders, from corneal injuries to retinal degeneration.

Breaking dielectric dilemma via polymer functionalized perovskite piezocomposite with large current density output.

Organometal halide perovskite (OHP) composites are flexible and easy to synthesize, making them ideal for ambient mechanical energy harvesting. Yet, the output current density from the piezoelectric nanogenerators (PENGs) remains orders of magnitude lower than their ceramic counterparts. In prior composites, high permittivity nanoparticles enhance the dielectric constant (ϵ) but reduce the dielectric strength (E).

Comparison of 3D Gradient-Echo Versus 2D Sequences for Assessing Shoulder Joint Image Quality in MRI.

Three-dimensional gradient-echo (3D-GRE) sequences provide isotropic or nearly isotropic 3D images, leading to better visualization of smaller structures, compared to two-dimensional (2D) sequences. The aim of this study was to prospectively compare 2D and 3D-GRE sequences in terms of key imaging metrics, including signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), glenohumeral joint space, image quality, artifacts, and acquisition time in shoulder joint images, using 1.5-T MRI scanner.

The Effect of Applying Problem-solving Skills on Stress Coping Styles and Emotional Self-efficacy in Mothers of Preterm Neonates: A Randomized Clinical Trial.

Background: Dysfunctional stress-coping styles may accelerate negative emotional self-efficacy in the mothers of preterm neonates. This study was conducted to determine the effect of applying problem-solving skills on stress-coping styles and emotional self-efficacy in mothers of preterm neonates.

Methods: This randomized clinical trial was conducted from January 2020 to February 2021 in 4 neonatal intensive care units (NICU) of Mashhad, Iran.

Finite element analysis of distraction osteogenesis with a new extramedullary internal distractor.

Distraction osteogenesis (DO) is a bone regenerative maneuver, which is conventionally done with external fixators and, more recently, with telescopic intramedullary nails. Despite the proven effectiveness, external approaches are intrusive to the patient's life while intramedullary nailing damages the growth plates, making them unsuitable for pediatric patients. An internal DO plate fixator (IDOPF) was developed for pediatric patients to address these limitations.

Evaluating the effectiveness of safety countermeasures at highway-railway grade crossing based on a machine learning framework.

Objective: This research aims to cluster similar highway-railway grade crossings (HRGCs) to examine the safety countermeasures at HRGCs.

Methods: The methodology integrates inventory and collision data from Federal Railroad Association (FRA) data set during years 2010 to 2022 . The XGBoost and random forest (RF) algorithms are employed to identify influential collision severity factors.

Food security during pregnancy: A qualitative content analysis study in Iran.

Food security during pregnancy is crucial for safeguarding the health of expectant mothers and optimizing prenatal outcomes. Food insecurity can manifest in varying degrees, ranging from moderate disruptions to the quality and diversity of diet to severe cases that disrupt dietary patterns and reduce overall food intake. Limited information exists regarding food security among pregnant women in Iran.

A methodological framework for estimating ambient PM particulate matter concentrations in the UK.

Scientific evidence sustains PM particles' inhalation may generate harmful impacts on human beings' health; therefore, their monitoring in ambient air is of paramount relevance in terms of public health. Due to the limited number of fixed stations within the air quality monitoring networks, development of methodological frameworks to model ambient air PM particles is primordial to providing additional information on PM exposure and its trends. In this sense, this work aims to offer a global easily-applicable tool to estimate ambient air PM as a function of meteorological conditions using a multivariate analysis.

Deep learning models for predicting plant uptake of emerging contaminants by including the role of plant macromolecular compositions.

Deep learning models can predict uptake of emerging contaminants in plants with improved accuracy because they leverage advanced data-driven approaches to capture non-linear relationships that traditional models struggle to address. Traditional models suffer from low accuracy in predicting transpiration stream concentration factor (TSCF) and root concentration factor (RCF). This study applied deep neural networks (DNN), recurrent neural networks (RNN), and long short-term memory (LSTM) to enhance the accuracy of predictive models for TSCF and RCF.

Inducing positive involuntary mental imagery in daily life using personalized photograph stimuli.

Most people experience positive involuntary mental imagery (IMI) frequently in daily life; however, evidence for the importance and effects of positive IMI is largely indirect. The current study adapted a paradigm to experimentally induce positive IMI in participants' daily lives. This could in turn provide a means to directly test positive IMI's effects.

Overexpression of Long Non-coding RNAs and Predict Poor Prognosis in Patients with Gastric Adenocarcinoma.

Background: LINC00092 and MCM3AP-AS1 long non-coding RNAs (LncRNAs) play significant roles in the development and pathogenesis of many cancers. However, their expression levels and prognostic values were not evaluated in human gastric adenocarcinoma (GAC). Therefore, the present study aimed to investigate the clinico-pathological correlations of LINC00092 and MCM3AP-AS1, LncRNAs expression in GAC, and evaluate their prognostic values.

Is It Possible to Monitor the Safest Time to Perform Secondary Surgery on Free Flaps? A Clinical Evaluation of the Tewameter.

: Postoperative monitoring, following free flap surgery, plays a crucial role in ensuring the survival of the flap. However, in microsurgery, not only the immediate postoperative monitoring period but also the choice of the right time for secondary surgeries is crucial for the free flap survival. There is no clear consensus concerning the right choice of timing for secondary surgery.