5173 research outputs found
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Nasal obstruction in adults: how it affects psychological status?
No full textObjectiveThis study investigated the psychological status of patients with unilateral or bilateral complete nasal obstruction.MethodThe study included 49 consecutive cases of unilateral or bilateral complete nasal obstruction. In order to assess participants' personality traits, both groups completed the Personality Belief Questionnaire, State-Trait Anxiety Inventory form, Beck Depression Inventory and Beck Anxiety Inventory.ResultsThe groups were similar in terms of demographic characteristics. Patients with unilateral or bilateral complete nasal obstruction had higher scores on all the psychological assessments compared with the healthy controls, except for the Beck Anxiety Inventory. Although all personality assessment scores were higher in patients, the only differences that were statistically significant were in the dependent, antisocial and avoidant personality trait scores.ConclusionThe psychological conditions of patients with structural deformities that cause nasal obstruction may be affected, and appropriate treatment should be provided to improve their symptoms and quality of life
Relationship of sustainable development goals, holistic nursing competence, and social justice advocacy role in public health nurses
No full textObjectiveThis study was conducted to examine the relationship between public health nurses' holistic nursing and social justice advocacy competencies in terms of their attitudes toward sustainable development goals.DesignCross-sectional survey.SampleThe study sample consisted of 384 public health nurses.MeasurementsData were collected with the personal information form, the Attitudes toward Sustainable Development Scale, the Holistic Nursing Competence Scale, and the Social Justice Advocacy Scale.ResultsThe sub-dimensions of environment, public, education, and economy were found to significantly affect social justice advocacy, and the indirect effects of 0.191, 0.222, 0.205, and 0.201 were found to be statistically significant with the inclusion of holistic nursing competence in the model, respectively. It was found to explain 32%, 30%, 29%, and 22% of the total effect, respectively.ConclusionIt supports the claim that developing public health nurses' holistic nursing competence and social justice advocacy skills is an important criterion for achieving sustainable development goals
On Mahler's Um-numbers in fields of formal power series over finite fields
No full textLet K be a finite field, K(x) be the quotient field of the ring of polynomials in x with coefficients in K and K be the field of formal power series over K. In this paper, we treat polynomials whose coefficients belong to a field extension of degree m over K(x). We show that the values of these polynomials at certain U-1-numbers in the field K are U-m- numbers in K
A Modified Approach to the Rack Generation of Beveloid Gears
No full textThe purpose of this paper is to present an easier and more efficient method for the determination of the geometry of a bevelled gear tooth. Based on a method that provides an easier way for the rack generation of involute helical gears, the mathematical model of a beveloid gear is studied. The mathematical procedure for developing two-dimensional cross-sections has been extended to three-dimensional gear models. A computer programme is developed to obtain generating and generated surfaces. The proposed algorithm is compared with the previous studies for verification and validation. The results demonstrate that the coordinates obtained from the given method are nearly the same on the start and end points of the main gear parts, such as the involute and root fillets regions. Also, between the limits, the values can be considered acceptable. A coordinate deviation of the gear profile has been observed in the mathematical model, because of the profile shift. Modifications have been developed in the equations to eliminate these cases. The main advantage of the proposed method is to obtain mathematical models without carrying out some of the calculation steps used in previous studies. Eventually, this feature will provide an easier and faster method to develop computer-aided models of the beveloid gear types
The Struggle of Great and Regional Powers in the War of Ukraine: Russia's Perspective
No full textThis study investigates the Ukraine-Russia War, which started in February 2022, from the perspective of Russia. In the study, why Russia declared war on Ukraine, Russia's policies, official documents and official discourses were examined. Despite the end of the Cold War, enlargement of NATO, which is a military structure, and the Eastern European enlargement of the EU as an economic-political structure has been closely followed in Russia since the Yeltsin period. In the Putin period, it was reflected in the official documents that this was a threat. At this point, it was deduced that this war emerged not only with the influence of Russia's but also the West's policies. Ukraine-Russia War had global effects, for this reason, it has been inferred that Ukraine has become a battleground of major and regional powers. Another finding of the research is that Ukraine is subject to a war that is a reflection of a struggle between great powers. As a result of the research, it was concluded that Russia declared war on Ukraine due to a threat perception coming from the West, especially with the expansion of NATO, its struggle with the USA, and its efforts to preserve its influence in the former Soviet region
Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges
No full textWireless technologies are growing unprecedentedly with the advent and increasing popularity of wireless services worldwide. With the advancement in technology, profound techniques can potentially improve the performance of wireless networks. Besides, the advancement of artificial intelligence (AI) enables systems to make intelligent decisions, automation, data analysis, insights, predictive capabilities, learning, and adaptation. A sophisticated AI will be required for next-generation wireless networks to automate information delivery between smart applications simultaneously. AI technologies, such as machines and deep learning techniques, have attained tremendous success in many applications in recent years. Hances, researchers in academia and industry have turned their attention to the advanced development of AI-enabled wireless networks. This paper comprehensively surveys AI technologies for different wireless networks with various applications. Moreover, we present various AI-enabled applications that exploit the power of AI to enable the desired evolution of wireless networks. Besides, the challenges of unsolved research in this area, which represent the future research trends of AI-enabled wireless networks, are discussed in detail. We provide several suggestions and solutions that help wireless networks be more intelligent and sophisticated to handle complicated problems. In summary, this paper can help researchers deeply understand the up-to-the-minute wireless network designs based on AI technologies and identify interesting unsolved issues to be pursued in their research in a fast way.Universiti Teknologi Malaysia [Q.K130000.21A2.07E08]; Universiti Teknologi Malaysia through the Professional Development Research University [R.J130000.7823.4J637]; Higher Institution Centre of Excellence (HICOE) program, Ministry of Higher Education (MOHE) Malaysia [MoHERI/BFP/ASU/2022]; Ministry of Higher Education, Research and Innovation (MoHERI) in the Sultanate of Oman [ASU/IRG/22/23/03]; Internal Research Grant (IRG) Program of A'Sharqiyah University (ASU)This research study was sponsored by the Universiti Teknologi Malaysia through the Professional Development Research University Grant no. Q.K130000.21A2.07E08 and by the Higher Institution Centre of Excellence (HICOE) program, Ministry of Higher Education (MOHE) Malaysia, conducted at the Universiti Teknologi Malaysia under the HiCOE Research Grant no. R.J130000.7823.4J637. Also, this work was supported in part by the Ministry of Higher Education, Research and Innovation (MoHERI) in the Sultanate of Oman under the Block Funding Program with agreement no. MoHERI/BFP/ASU/2022. Additionally, this research was also partially sponsored by the Internal Research Grant (IRG) Program of A'Sharqiyah University (ASU), with project no. ASU/IRG/22/23/03
The effect of the challenges experienced by nurses during the pandemic on their intention to leave work: the mediating role of the performance
No full textBackgroundDuring the COVID-19 pandemic, negative working conditions in the nursing profession have worsened, and nurses have experienced various challenges that have increased their intention to leave work. Findings on the role of nurse performance under such conditions are limited.AimsThis study aimed to investigate the role of performance in the effect of the challenges experienced by nurses during the pandemic on their intention to leave work.MethodsThis descriptive and cross-sectional study was conducted between July 2022 and August 2023 in Turkey using an online survey. A total of 462 nurses participated in the study, which employed the non-probability random and snowball sampling methods.ResultsThe mediating factors in the effect of the challenges experienced by nurses during the pandemic on their intention to leave work were task performance (beta = 0.07), contextual performance (beta = 0.05), and counterproductive work behavior (beta = 0.12), respectively.ConclusionsThis study determined that task performance, contextual performance, and counterproductive work behavior played an important role in the effect of the challenges experienced by nurses during the pandemic on their intention to leave work. The present results may serve as a guide in determining effective strategies to be employed in possible pandemic situations
Second generation current conveyor based capacitorless floating memristor emulator
No full textThis article offers a novel flux controlled floating memristor emulator based on second-generation current conveyor (CCII). The floating memristor is designed using two CCIIs, one resistor, and one PMOS transistor. The presented memristor emulator does not need external capacitance. The proposed designed circuit exhibits pinch hysteresis loops in voltage-current plane up to 2 GHz frequency. The performance of the circuit under consideration is evaluated using 180 nm CMOS technology parameter by the SPICE simulator. The circuit requires a DC power supply of +/- 1.2 V and exhibits a power consumption of 0.766 mW. Furthermore, the resilience of the planned circuit is assessed by examining process corner fluctuation, supply voltage variation, temperature variation, and transistor size variations. In addition, a Schmitt trigger circuit and high order filters based on designed memristor are used to confirm the operation of the proposed design at high and low frequency, respectively. This article offers a novel capacitorless flux controlled floating memristor emulator. It consists of two CCIIs, one resistor, and one PMOS transistor. It exhibits pinch hysteresis loops in voltage-current plane up to 2 GHz frequency. The resilience of the proposed circuit is assessed by examining process corner fluctuation, supply voltage variation, temperature variation, and transistor size variations. In addition, a Schmitt trigger circuit and high order filters based on designed memristor are used to confirm the operation of the circuit. imag
Economic Assessment of Solar Hydroelectric Hybrid Power Plant a Real Case Study
No full textIn order to increase energy supply reliability, a regulation was issued by the Turkish Energy Market Supervisory Authority. According to this regulation, operation hydroelectric power plants are allowed to add solar power plants with the power calculated according to certain conditions. Herewith will increase electricity generation by utilizing the existing facilities of the operating hydroelectric power plant. Thus, the hydroelectric power plant will be operated more efficiently and effectively. In this study, a real case study on the hybridization of an operating hydroelectric power plant in Turkey with a solar power plant was conducted. The study investigated the amount of energy increase of the power plant, the financing need for additional investment, and the feasibility of this investment. According to the results of the study, the payback period of the additional investment in the Turkish energy market is 4 years and the annual revenue of the hybrid power plant increases by 20%. In conclusion, this study has shown that the hybrid power plant is technically and economically feasible
Artificial Intelligence Integration in Sustainable Business Practices: A Text Mining Analysis of USA Firms
No full textArtificial Intelligence (AI) is transforming sustainable business strategies globally, yet its specific applications within American enterprises remain underexplored. This study examines the integration of AI in sustainability efforts across various industries in the USA from 2014 to 2022. By analyzing 263 sustainability reports from 41 leading Nasdaq-listed firms using advanced text mining techniques, we uncover nuanced insights into how AI is employed to address environmental and social challenges. Our findings reveal a strategic deployment of AI not only to enhance operational efficiency, but also to drive significant environmental improvements, such as optimizing renewable energy usage and mitigating emissions. Additionally, AI's impact extends to fostering workplace safety, enhancing diversity, and bolstering community initiatives. This research highlights the critical role of AI as a catalyst in advancing sustainable practices, providing a blueprint for other regions and industries aiming to leverage technology for greater sustainability