Computer aided analysis of biomechanical performance of schanz screw with different additive manufacturing materials used in pertrochanteric fixator on an intertrochanteric femoral fracture (corrosion resistance approach).

This study examines the use of computer-aided analysis to evaluate the biomechanical performance of Schanz screws made from different additive manufacturing materials (Ti6Al4V, 316 L, Inconel 625, and Inconel 718) in a pertrochanteric fixator for the treatment of intertrochanteric femoral fractures. Intertrochanteric fractures (ITFs) are severe traumas often seen in the elderly population and can lead to serious consequences. The primary objective of ITF surgery is to provide stability and allow for early ambulation and rehabilitation.

Cyclotide-rich fractions containing nanofibers by electrospinning: preparation, characterization and examination of antimicrobial activity.

In this study, antimicrobial nanofibers were produced with the mixtures of polyvinyl alcohol (PVA) and cyclotide-rich fractions by electrospinning method. After extraction, the first separation was carried out with C18 flash chromatography and then fractioned into five separate parts by reversed-phase high-pressure liquid chromatography (RP-HPLC). The molecular weights of cyclotides in each fraction were determined by quadrupole time-of-flight liquid chromatography-mass spectrometry (Q-TOF LC-MS).

Inundation risk assessment of Eastern Mediterranean Coastal archaeological and historical sites of Türkiye and Greece.

Archaeological and historical sites, including World Heritage Sites, archaeological sites, castles, fortresses, towers, bridges, necropolises, and ruins, which are a shared legacy of humanity, are at risk of inundation due to sea level rise resulting from global climate change and increased carbon emissions, much like settlements, transportation systems, agricultural areas, and animal habitats. These locations are significant hot spots for connecting the past to the present regarding human history. Throughout history, settlements have been established around wetlands and shorelines.

Spectroscopic determination of hydrophobic adulterant tadalafil by aptasensor based ellipsometry.

Tadalafil is one of the selective phosphodiesterase type 5 inhibitors (PDE5) and serves as the active compound in drugs used for the treatment of erectile dysfunction. These PDE5 inhibitors are prescribed under medical supervision. However, cases of adulteration of dietary supplements with PDE5 inhibitors or their unapproved analogs have been reported worldwide.

CNN-based deep learning method for predicting the disease response to the Neoadjuvant Chemotherapy (NAC) treatment in breast cancer.

Objective: The objective of the study is to evaluate the performance of CNN-based proposed models for predicting patients' response to NAC treatment and the disease development process in the pathological area. The study aims to determine the main criteria that affect the model's success during training, such as the number of convolutional layers, dataset quality and depended variable.

Method: The study uses pathological data frequently used in the healthcare industry to evaluate the proposed CNN-based models.

Identification of attention deficit hyperactivity disorder with deep learning model.

This article explores the detection of Attention Deficit Hyperactivity Disorder, a neurobehavioral disorder, from electroencephalography signals. Due to the unstable behavior of electroencephalography signals caused by complex neuronal activity in the brain, frequency analysis methods are required to extract the hidden patterns. In this study, the feature extraction was performed with the Multitaper and Multivariate Variational Mode Decomposition methods.

A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression.

Introduction: Using digital addiction as an umbrella term to cover any type of addictions to digital technologies such as the internet, smartphones, social media, or video games, the current study aimed to reveal the intellectual structure and evolution of research addressing digital addiction-depression relationship.

Methods: The study combined bibliometric and science mapping analysis methods for this purpose. Data for the study was gathered from Web of Science Core Collection after a comprehensive process of data search/extraction, and 241 articles were included in the final data set.

An Examination of the Relationships between Psychological Resilience, Organizational Ostracism, and Burnout in K-12 Teachers through Structural Equation Modelling.

Psychological resilience, burnout, and ostracism are significant variables that may affect teachers' performance and well-being. While psychological resilience is the ability of individuals to cope with the challenges of life/work and could support teachers in performing their profession, burnout (i.e.

Enforced Remote Work During COVID-19 and The Importance of Technological Competency: A Job Demands-Resources Perspective.

Background: As we live in the era of technology, it is clear that employees' technical skills and savviness are important to their work performance. With the COVID-19 pandemic, these qualities have become a "necessity‿ for many employees as they have switched to remote working. Less attention, however, has been given to empirical evidence regarding how employees' technological competencies influence their work outcomes during a forced shift to remote work.

Detection of Phenylarsine Oxide in Drinking Water Using an Impedimetric Electrochemical Sensor with Gelatin-Based Solid Electrolyte Enriched with Mercaptoethanol: A Novel Prospective Green Biosensor Methodology.

A simple, inexpensive, rapid, and label-free detection of phenylarsine oxide (PAO) in the field is a significant and unmet need because of its fatally acute and chronic effects on human health. A simple, fast, sensitive, and relatively low-cost arsenic detection system with an eco-friendly sensor could fill this gap. To monitor arsenic in situ, a reliable, portable impedimetric electrochemical sensor is the most suitable platform, which is real-time, fast, low-cost, and easy to design and use and has high sensitivity at low detection limits in the nanogram per mL range.

Revealing the Intellectual Structure and Evolution of Digital Addiction Research: An Integrated Bibliometric and Science Mapping Approach.

The current study uses "digital addiction" as an umbrella term to refer to addiction to the Internet, social media, smartphones, digital devices, video games, or similar digital technologies. The study aims to investigate the scientific landscape of the digital addiction research field through combining bibliometric and science mapping analysis and to facilitate insight into the development and evolution of this knowledge base. Data for the analysis were extracted from the Scopus database, which covers a wide range of journal articles, with 429 articles addressing digital addiction included in the analysis.

Carbon supported Pd based catalysts for the hydrolytic dehydrogeneration of morpholine borane.

Although the reducing property of morpholine borane is frequently used, there are few studies on its use as a chemical hydrogen storage material. This study presents the catalyst efficiency for hydrogen production in the dehydrogenation reaction of morpholine borane as efficient and cost-effective hydrogen storage material, which can be used as an alternative to depleting fossil fuels. It was studied with four different catalysts as activated Carbon-supported Pd, PdAg, PdNi, and PdCo.

An Overview of Aptamer-Based Sensor Platforms for the Detection of Bisphenol-A.

Endocrine disruptive compounds are natural or anthropogenic environmental micropollutants that alter the function of the endocrine system ultimately damaging the metabolism. Bisphenol A (BPA) is the most common of these pollutants and it is often used in epoxy coatings and polycarbonates as a plasticizer. Therefore, monitoring BPA levels in different environments is very important and challenging.

Removal of lead from aqueous solution using electrospun nanofibers: preparation, characterization, adsorption isotherm, and kinetic study.

Lead is one of the most hazardous toxic heavy metal ions in industrial wastewater. The removal of Pb(II) from aqueous environment is an extremely essential topic due to acquiring clean water resources and its significant impact on human health. Adsorption is an effective and the most widely used method for heavy metal removal from an aqueous medium.

Anoxybacillus flavithermus loaded ɣ-FeO magnetic nanoparticles as an efficient magnetic sorbent for the preconcentrations of Cu(II) and Mn(II).

It was hypothesized that -iron( oxide nanoparticles (ɣ-FeO NPs) functionalized with Anoxybacillus flavithermus (A. flavithermus) as an effective magnetic sorbent for the preconcentrations of toxic metal ions. It is clear to conclude that the main novelty of this study is that ɣ-FeO NPs loaded with A.

Design and modification of frog skin peptide brevinin-1GHa with enhanced antimicrobial activity on Gram-positive bacterial strains.

Naturally occurring frog skin peptides are one of largest sources of antimicrobial peptides that have many advantages including high potency, broad spectrum of targets and low susceptibility to multiple drug-resistance bacteria. However, they also have disadvantages such as hemolytic activity, low stability and high production costs. For these reasons, various strategies have been applied to overcome these drawbacks restricting their use in clinical trials.

Optimization of self-colored dental zirconia block parameters for an effective machining performance using response surface methodology based artificial bee colony.

Objectives: Self-colored dental zirconia blocks eliminate the drawbacks of the coloring process of traditional blocks and ensure disposal time and cost in dental prosthesis laboratories. Like traditional dental zirconia frameworks, self-colored dental zirconia frameworks are produced by grinding pre-sintered zirconia blocks via manual or CAD/CAM operating devices. The process parameters such as powder type, pre-sintering temperature and doping amount of coloring powder affect the machining performance of blocks through microhardness, bulk density and shrinkage values (diameter and thickness) during fabrication.

Determination of salt concentration in water using decision trees and electromagnetic waves.

Salt water adversely affects human health and plant growth. In parallel with the increasing interest in non-contact determination of salt concentration in water, a novel approach is proposed in this study. In the proposed approach, S parameter measurements, which show the scattering properties of electromagnetic waves, are used.

Secure medical image encryption with Walsh-Hadamard transform and lightweight cryptography algorithm.

It is important to ensure the privacy and security of the medical images that are produced with electronic health records. Security is ensured by encrypting and transmitting the electronic health records, and privacy is provided according to the integrity of the data and the decryption of data with the user role. Both the security and privacy of medical images are provided with the innovative use of lightweight cryptology (LWC) and Walsh-Hadamard transform (WHT) in this study.

The role of microencapsulation in maintaining biological activity of royal jelly: comparison with biological activity and bioaccessibility of microencapsulated, fresh and lyophilized forms during storage.

Background: Royal jelly (RJ) is a unique beehive product and has been recommended for human health since ancient times because of its antioxidant, antimicrobial, antiproliferative, neuroprotective, anti-lipidemic and anti-aging features. However, the biggest obstacle in the use of RJ is the need for cold storage and the instability of bioactive components over time. In the present study, 10-hydroxy-2-decenoic acid (10-HDA) content, as well as antioxidant [using 1,1-diphenyl-2-picrylhydrazy and 2,2'-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid) methods] and antimicrobial activity (five Gram-positive, five Gram-negative and three yeasts), were comparatively evaluated for three RJ forms, two of which can be stored at 24 ± 1 °C during storage.

Examining the Associations between COVID-19-Related Psychological Distress, Social Media Addiction, COVID-19-Related Burnout, and Depression among School Principals and Teachers through Structural Equation Modeling.

This study aims to investigate the relationships between COVID-19-related psychological distress, social media addiction, COVID-19-related burnout, and depression. The research, which was designed according to the relational survey model, was conducted with the participation of 332 school principals and teachers who received graduate education in the field of educational administration. Research data were collected through online surveys and then structural equation modeling (SEM) was used to test and analyze the proposed hypotheses.

Investigating the Relationships between COVID-19 Quality of Life, Loneliness, Happiness, and Internet Addiction among K-12 Teachers and School Administrators-A Structural Equation Modeling Approach.

It is well acknowledged that the roles of both school administrators and teachers have changed due to the global education crisis caused by COVID-19. During this challenging and critical period, it is essential to investigate how those working in the education sector who undertake strategic tasks for sustainable education are affected by the new conditions brought about by the COVID-19 pandemic. This study investigates the interrelationships between COVID-19 quality of life, loneliness, happiness, and Internet addiction.