Positive Teacher Development model understands the mechanisms of teachers' burnout and job satisfaction as a result of an interplay of multiple levels of individual <-> context relationships, internal and external assets, being supported by teachers' relationships with students, colleagues, and school leaders. The model is grounded in the Socio-Ecological Model, Relational Developmental Systems Theory, and Self-Determination Theory. The fit of the model, a selection of direct and indirect paths, was tested on a sample of Slovene in-service teachers (n = 1191; 86.6% females; Mage = 42.49; SDage = 9.42) with a measurement battery consisting of measures addressing internal assets (self-efficacy, intrinsic motivation, emotion regulation), external assets (work stressors, school values, system support), teachers' relationships (with students, colleagues and school leaders), job satisfaction, and burnout. The findings showcase the interconnectedness of internal and external assets with diverse direct paths leading from both internal assets and external assets to job satisfaction and burnout.
INTRODUCTION/OBJECTIVE:This study aims to compare the structural and functional features of DPP-IV and FAP-α to identify ligand characteristics relevant to selective inhibition. METHODS:To this end, we performed enzyme superposition, binding-site characterization, molecular docking, normal mode analysis, molecular dynamics simulations, and binding-site detection. RESULTS AND DISCUSSION:The analyses revealed distinct residue compositions in the binding pockets, indicating a more polar environment in DPP-IV and a more hydrophobic environment in FAP-α. Key interactions between DPP-IV and bioactive compounds included hydrogen bonds and π-π contacts involving Ser630, Tyr622, and Tyr666, which were associated with ligand regions, such as the trifluorophenyl and cyclohexylamine groups. Normal mode calculations revealed differences in functional motions among the biological targets under study, and molecular dynamics simulations confirmed ligand stability and the structural impact on binding sites. CONCLUSION:These findings highlight structural elements that can guide the design of more selective drug candidates for type 2 diabetes therapy.
Diabetes is a growing problem affecting many people in the world. Diabetes leads to various complications like lower limb amputations, blindness, cardiovascular disease etc. Diabetes has many complexity that is reduced by individual monitoring and control of glucose level. Glucose level monitoring occur with recent development in Nanotechnology. Nanotechnology develops nanosensors which measure glucose level. Nanosensors fabricated by silicon dioxide in mass production reduces the cost of the nanosensors. Nanosensors made of silicon dioxide read the blood samples of a person without diabetes and a diabetic person with the help of SIGVIEW and analyzed using MATLAB. Statistical analysis is made with comparison of spectrogram, magnitude response, probability distribution, time domain and the autocorrelation of normal blood signals and diabetic signals. Comparison results in separation of a normal and diabetic person with an excellent performance of nanosensors in mass production.
Adolescence is crucial for shaping social behavior, with peers influencing popularity and likability. While some adolescents use bullying to gain popularity, prosocial behavior often underlies likability. Yet, little is known about bistrategic control, where youth combine aggression and prosocial actions. This study used a multilevel person-centered approach to identify latent profiles based on peer-reported bullying, prosocial behavior, popularity, and likability, examined differences in bystander behavior, social status goals, and insecurity, and further explored how these individual-level profiles differ across classrooms and align with classroom-level bullying and prosocial social status norms. Data from 6379 Slovenian adolescents in 328 classes revealed five profiles: Unpopular bullies, Popular bullies, Bistrategic, Prosocial, and Uninvolved. At the classroom level, two distinct profiles emerged, differing in the prevalence of Uninvolved, Prosocial, Bistrategic, and Popular bully students.
