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Testing Rotating Einstein–Yang–Mills–Higgs Black Holes via Quasi-Periodic Oscillations
No full textTESTING ROTATING EINSTEIN–YANG–MILLS–HIGGS BLACKHOLES VIA QUASI-PERIODIC OSCILLATIONSTAHA METIN COMAKLI, ARZU CILLI and ERTAN GUDEKLI(YILDIZ TECHNICAL UNIVERSITY)[email protected] this study, we examine the orbital and epicyclic motions of test particles around arotating Einstein–Yang–Mills–Higgs (EYMH) black hole. The black hole model ischaracterized by four parameters: the mass MMM, spin parameter aaa, the EYMHparameter BBB, and a constant β\betaβ. We derive analytical expressions for the specificenergy, angular momentum, and the fundamental frequencies of radial, vertical, andorbital oscillations near stable circular orbits. The stability of equatorial orbits is analyzedthrough the effective potential approach, and relativistic precession effects such asperiastron and Lense-Thirring precessions are also evaluated. Our findings reveal that thedynamical behavior of particles and the quasi-periodic oscillations (QPOs) are stronglyinfluenced by the model parameters. The study suggests that the predicted QPOfrequencies, particularly near the innermost stable circular orbits (ISCOs), could becompared with observational X-ray data, offering a potential testbed for probing thenature of EYMH black holes.</p
Parameter reduction for PMV prediction via data driven approaches using the ASHRAE global thermal comfort database II and Chinese dataset
No full textEquivalent Input Energy Velocity of Elastoplastic SDOF Systems with Specific Strength
No full textThis paper presents the results of statistical analyses carried out for the input energy velocity (equivalent velocity to be used for the determination of the input energy) of equivalent single-degree-of-freedom systems with definite strength. An earthquake ground motion database, which includes 268 far-field records and two horizontal components from 134 recording stations located on firm sites, is employed for nonlinear time–history analysis. The probabilistic distribution of the input energy velocity is investigated for the candidate distribution models through a chi-square test, and the lognormal distribution was found as the most representative distribution model. Furthermore, the data used for analysis are classified with respect to the considered strength reduction factors of SDOF systems as a structural parameter and the effective duration of the considered strong ground motions as a ground motion parameter. The effect of those parameters on input energy velocity is investigated by using probabilistic techniques such as t-tests and ANOVAs. It is concluded that the strength reduction factor influences the input energy velocity along the particular period ranges of SDOF systems. Furthermore, the effective duration of the ground motion is another effective parameter on input energy velocity for almost all the considered period ranges. An equation is proposed for the determination of input energy velocity in terms of the aforementioned parameters
Membran biyoreaktör çıkışı düzenli depolama sızıntı suyunun yeşil oksidanların kullanıldığı Fenton benzeri prosesler ile ileri arıtımı
No full textEnvironmental performance of an A2/O process for low-, medium-, and high-strength municipal wastewaters treatment by combining activated sludge modeling (ASM) and life cycle assessment
No full textThis study aims to evaluate the environmental performance of a hypothetical wastewater treatment plant (WWTP) with activated sludge modeling and life cycle assessment (LCA). In order to simulate the treatment performance of an A2O (anaerobic-anoxic-aerobic) process for low-, medium-, and high-strength municipal wastewaters, activated sludge model no.3 (ASM3) was employed. Simulation results were then used for performing LCA of wastewater treatment plant to assess the environmental impacts associated with wastewater treatment system. Additionally, net environmental benefit (NEB) approach that is useful for wastewater systems was also used to determine the eutrophication potential reduction of the hypothetical WWTP. The LCA results show that global warming, photochemical oxidation, and eutrophication potential impact categories were affected by characteristics of wastewater treated. The highest values of these impact categories (7.87E-01 kg CO2-eq., 1.73E-04 kg C2H4-eq., and 1.28E-02 kg PO4-eq./m3.treated wastewater; respectively) were determined for high-strength wastewater. Considering eutrophication potential reduction, the highest NEB value was found 0.042 kg PO4-eq/m3.wastewater for high-strength wastewater, followed by medium-strength (0.027 kg PO4-eq/m3.wastewater) and low-strength (0.013 kg PO4-eq/m3.wastewater) wastewater. The results of the study is crucial to indicate that combining LCA with other decision support tools ensures achieving predictive and reliable results for proving the performance of WWTPs
The meaning of new building–place relationships: A multi-dimensional framework based on experience
No full textThe article presents a conceptual framework that examines the meaning of the new building–place relationship through individuals’ mental representations and internal responses, as shaped by lived experiences. Developed using a phenomenological approach, the framework comprises three dimensions—Orientation (individual–place relationship), Environment (new building–place relationship), and Identification (individual-new building relationship)—and four levels of meaning: (1) Representational, related to perception and recognition; (2) Emotional, encompassing affective responses; (3) Evaluative, informed by past experiences; and (4) Inferential, derived from physical, mental, and spatial interactions. A codebook, iteratively developed through a comprehensive literature review, was used to classify these layers of meaning. The analysis reveals that the meaning of the new building–place relationship is multi-layered, shaped by perception, personal experience, and contextual factors. This study offers a novel perspective by juxtaposing phenomenological insights from diverse user groups within the built environment. Through a comparative and interdisciplinary triangulation approach, it advances an understanding that foregrounds the subjective complexity of spatial experience, uncovering meaningful divergences in perception and interpretation. These findings contribute to design thinking, theoretical discourse, and urban and architectural practice, while emphasizing the role of experiential and participatory approaches in cultivating meaningful spatial relationships
THE CONTRIBUTION OF ART EDUCATION TO CREATIVITY: FROM INDIVIDUAL DEVELOPMENT TO SOCIAL INTEGRATION
No full textNotification Text Generation with Large Language Models B y k Dil Modelleri ile Bildirim Metni retimi
No full textThe delivery of notificationswith engaging and contextually appropriate content plays a critical role in increasing user engagement. Although Large Language Models (LLMs) are successful in text generation, systematic research on short, action-oriented content such as notification text generation is limited. In this study, Manual Prompt Creation, Automatic Prompt Creation, and Optimized Automatic Prompt Creation approaches for LLM-based notification text generation were compared. The outputs were generated using Google Gemini Pro and evaluated with LLM-based metrics such as grammatical accuracy, title-text coherence, and naturalness. The results revealed that Optimized Automatic Prompt Creation outperformed other approaches, while Manual Prompt Creation provided more diverse texts. This study contributes to the literature on notification text generation by advancing prompt engineering and introducing new evaluation metrics