Psychotherapeutic Interventions Used in Psychological Treatment Studies With Syrian Refugees: A Systematic Review.

The ongoing conflicts in the Middle East have led to a substantial influx of Syrian refugees, exposing them to severe traumatic experiences and contributing to a range of mental health issues. This systematic review examines psychotherapeutic interventions employed in psychological treatment studies with Syrian refugees, focusing on 22 articles identified across Scopus, PubMed, Web of Science, and ScienceDirect. The review highlights the need for psychotherapeutic intervention for Syrian refugees due to the high prevalence of post-traumatic stress, depression, anxiety, grief, and loss which results from an increased risk of various forms of violence and exploitation.

Evaluation of the effects of avatar on learning temporomandibular joint in a metaverse-based training.

Purpose: Avatars, representing users in the digital world, can influence users' behavior and attitudes. This study evaluates the impact of representing dental students receiving temporomandibular joint (TMJ) education in the metaverse via an anonymous or identified avatar.

Methods: Participants included 80 dental students in their fourth and fifth years of study.

A novel hole performance index to evaluate the hole geometry and drilling time in the electrochemical drilling process.

Electrochemical Drilling (ECD) is an unconventional method aimed at creating holes in metallic workpieces characterized by high hardness and complex structures. This study analyzes the influence of process variables, including machining voltage, electrolyte concentration, electrode rotational speed, electrolyte flushing pressure, and workpiece material, on the novel hole performance index (HPI) in electrical discharge machining (ECD). The HPI was identified as a suitable metric for simultaneously evaluating hole geometry and drilling time across various machining parameters and workpiece materials.

Age-related decline in source and associative memory.

This review explores the multifaceted nature of age-related decline in source memory and associative memory. The review highlights the potential effects of age-related decline in these types of memory. By integrating insights from behavioral, cognitive, and neuroscientific research, it examines how encoding, retrieval, and neural mechanisms influence this decline.

Initial validation of the Turkish version of the defense mechanisms rating scales-self-report-30.

The Defense Mechanisms Rating Scales-Self Report-30 (DMRS-SR-30) was recently developed to add a self-report alternative to the assessment of defenses, reflecting their generally accepted hierarchical organization. In this study, we aimed to examine psychometric properties and factor structure of the Turkish language version of the DMRS-SR-30. The sample consisted of 1.

Stability analysis and solutions of fractional boundary value problem on the cyclopentasilane graph.

The study is being applied to a model involving silane and on cyclopentasilane graph. We consider a graph with labeled vertices by 0 or 1 inspired by the molecular structure of cyclopentasilane. In this paper, we first study the existence of solutions to fractional conformable boundary value problem on the cyclopentasilane graph by applying Scheafer and Krasnoselskii fixed point theorems.

My partner really gets me: Affective reactivity to partner stress predicts greater relationship quality in new couples.

Affective reactivity, defined as within-person increases in negative affect triggered by daily stressors, has well-established links to personal well-being. Prior work conceptualized affective reactivity as an intrapersonal phenomenon, reflecting reactions to one's own stressors. Here, we conceptualized reactivity interpersonally, examining one's responses to a daily stressors.

Expectancy from, and acceptance of augmented reality in dental education programs: A structural equation model.

Objective: Dental schools need hands-on training and feedback. Augmented reality (AR) and virtual reality (VR) technologies enable remote work and training. Education programs only partially integrated these technologies.

Your Need for Cognition, Cognitive Flexibility, and Cognitive Emotion Regulation Strategies Matter! The Path beyond a Satisfied Life.

This study explored the associations among cognitive flexibility, cognitive emotion regulation (CER) strategies, need for cognition, and life satisfaction, which represents a cognitive component of subjective well-being. Previous studies have shown the importance of adaptive CER strategies for well-being, while maladaptive strategies have been linked to negative outcomes such as psychological distress, depression, and anxiety. Additionally, the need for cognition has been associated with cognitive flexibility and positive outcomes in various domains.

Quantitative assessment and objective improvement of the accuracy of neurosurgical planning through digital patient-specific 3D models.

Objective: Neurosurgical patient-specific 3D models have been shown to facilitate learning, enhance planning skills and improve surgical results. However, there is limited data on the objective validation of these models. Here, we aim to investigate their potential for improving the accuracy of surgical planning process of the neurosurgery residents and their usage as a surgical planning skill assessment tool.

Cosine and cotangent similarity measures for intuitionistic fuzzy hypersoft sets with application in MADM problem.

Intuitionistic fuzzy hypersoft sets (IFHSSs) are a novel model that is projected to address the limitations of Intuitionistic fuzzy soft sets (IFSSs) regarding the entitlement of a multi-argument domain for the approximation of parameters under consideration. It is more flexible and reliable as it considers the further classification of parameters into their relevant parametric valued sets. In this paper, we proposed some trigonometric (cosine and cotangent) similarity measures and their weighted trigonometric similarity measures (SMs).

Incivility, Mobbing, and Abusive Supervision: A Tripartite Scale Development Study.

Using qualitative and quantitative methodologies, in three consecutive studies with employed samples, we developed measures of workplace incivility, mobbing, and abusive supervision sensitive to the nuances of a non-Western context (i.e., Türkiye).

Teaching computer architecture by designing and simulating processors from their bits and bytes.

Teaching computer architecture (Comp-Arch) courses in undergraduate curricula is becoming more of a challenge as most students prefer software-oriented courses. In some computer science/engineering departments, Comp-Arch courses are offered without the lab component due to resource constraints and differing pedagogical priorities. This article demonstrates how students working in teams are motivated to study the Comp-Arch course and how instructors can increase student motivation and knowledge by taking advantage of hands-on practices.

Psychological well-being in Europe after the outbreak of war in Ukraine.

The Russian invasion of Ukraine on February 24, 2022, has had devastating effects on the Ukrainian population and the global economy, environment, and political order. However, little is known about the psychological states surrounding the outbreak of war, particularly the mental well-being of individuals outside Ukraine. Here, we present a longitudinal experience-sampling study of a convenience sample from 17 European countries (total participants = 1,341, total assessments = 44,894, countries with >100 participants = 5) that allows us to track well-being levels across countries during the weeks surrounding the outbreak of war.

Relationships of Transformational and Paternalistic Leadership Styles With Follower Needs, Multidimensional Work Motivations and Organizational Commitment: A Mediated Model.

Paternalistic Leadership (PL) style is suggested to be an emic manifestation of Transformational Leadership (TL) in cultural contexts characterized by high power distance and collectivism. The present study investigated the effects of TL and PL behaviors on employees' multidimensional work motivation and organizational commitment and the mediating effects of satisfaction of psychological needs (needs for autonomy, competence, and relatedness) in these relationships. Data were collected from 423 white-collar employees and analyzed by Structural Equation Modeling.

Substituent-controlled construction of AB-hexaphyrins and AB-porphyrins: a mechanistic evaluation.

A substituent-dependent construction of novel AB-porphyrins along with AB-hexaphyrins was realized by the reactions of -tosylimines and -aryl-substituted tripyrranes in the presence of Cu(OTf) as the catalyst. The reaction mechanism of the presented method was studied on model reactions by electrospray-ionization time-of-flight (HRESI-TOF) mass spectral analysis in a timely manner. The analytical results indicated that the observed azafulvene-ended di- and tripyrrolic intermediates are responsible for the formation of porphyrinogen and hexaphyrinogen forms.

Heuristic computing with active set method for the nonlinear Rabinovich-Fabrikant model.

The current study shows a reliable stochastic computing heuristic approach for solving the nonlinear Rabinovich-Fabrikant model. This nonlinear model contains three ordinary differential equations. The process of stochastic computing artificial neural networks (ANNs) has been applied along with the competences of global heuristic genetic algorithm (GA) and local search active set (AS) methodologies, i.

Fractional Modeling of Cancer with Mixed Therapies.

Background: Cancer is the biggest cause of mortality globally, with approximately 10 million fatalities expected by 2020, or about one in every six deaths. Breast, lung, colon, rectum, and prostate cancers are the most prevalent types of cancer.

Methods: In this work, fractional modeling is presented which describes the dynamics of cancer treatment with mixed therapies (immunotherapy and chemotherapy).

Magnetic dipole effects on unsteady flow of Casson-Williamson nanofluid propelled by stretching slippery curved melting sheet with buoyancy force.

In particular, the Cattaneo-Christov heat flux model and buoyancy effect have been taken into account in the numerical simulation of time-based unsteady flow of Casson-Williamson nanofluid carried over a magnetic dipole enabled curved stretching sheet with thermal radiation, Joule heating, an exponential heat source, homo-heterogenic reactions, slip, and melting heat peripheral conditions. The specified flow's partial differential equations are converted to straightforward ordinary differential equations using similarity transformations. The Runge-Kutta-Fehlberg 4-5th order tool has been used to generate solution graphs for the problem under consideration.

Quantum correlation of microwave two-mode squeezed state generated by nonlinearity of InP HEMT.

This study significantly concentrates on cryogenic InP HEMT high-frequency circuit analysis using quantum theory to find how the transistor nonlinearity can affect the quantum correlation of the modes generated. Firstly, the total Hamiltonian of the circuit is derived, and the dynamic equation of the motion contributed is examined using the Heisenberg-Langevin equation. Using the nonlinear Hamiltonian, some components are attached to the intrinsic internal circuit of InP HEMT to address the circuit characteristics fully.

A new parallel multi-objective Harris hawk algorithm for predicting the mortality of COVID-19 patients.

Harris' Hawk Optimization (HHO) is a novel metaheuristic inspired by the collective hunting behaviors of hawks. This technique employs the flight patterns of hawks to produce (near)-optimal solutions, enhanced with feature selection, for challenging classification problems. In this study, we propose a new parallel multi-objective HHO algorithm for predicting the mortality risk of COVID-19 patients based on their symptoms.

Bipolar intuitionistic fuzzy graph based decision-making model to identify flood vulnerable region.

Bipolar intuitionistic fuzzy graphs (BIFG) are an extension of fuzzy graphs that can effectively capture uncertain or imprecise information in various applications. In graph theory, the covering, matching, and domination problems are benchmark concepts applied to various domains. These concepts may not be defined precisely using a crisp graph when the vertices and edges are more uncertain.

Predictive dynamical modeling and stability of the equilibria in a discrete fractional difference COVID-19 epidemic model.

The SARSCoV-2 virus, also known as the coronavirus-2, is the consequence of COVID-19, a severe acute respiratory syndrome. Droplets from an infectious individual are how the pathogen is transmitted from one individual to another and occasionally, these particles can contain toxic textures that could also serve as an entry point for the pathogen. We formed a discrete fractional-order COVID-19 framework for this investigation using information and inferences from Thailand.

Design of a fractional-order atmospheric model via a class of ACT-like chaotic system and its sliding mode chaos control.

Investigation of the dynamical behavior related to environmental phenomena has received much attention across a variety of scientific domains. One such phenomenon is global warming. The main causes of global warming, which has detrimental effects on our ecosystem, are mainly excess greenhouse gases and temperature.