Cosmos Scholars Publishing House: Journals Management System
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The Impact of Product Assortment Framing on The Attitude Toward Gift Set
Full text linkThe purpose of this paper is to study how consumers’ attitudes toward different types of product assortment and Unpacking Framing under the moderating effects of consumption situation, prior knowledge of products, and involvement. Results are based on a survey with 344 respondents. The results indicate that consumers favor a diverse product assortment over a simple one. Second, if the consumer buys the product as a gift, they favor a more diverse product assortment, however, if the consumer buys it to consume by themselves, diversification or simplification of product assortment does not matter. Third, in the case of diverse product assortment, consumer favors detailed message framing over comprehensive one. Fourth, in the case of high prior knowledge, the consumer favors a detailed description of the product. Furthermore, there is no such difference in the case of low prior knowledge
Assessing the Association between Neurocognitive Performance and Quality of Life in Individuals with Chronic Pain: A Cross-Sectional Study
No full textIntroduction: Chronic pain, a pervasive global health challenge, significantly impacts individuals' daily functioning and quality of life. This cross-sectional study explores the complex interplay between neurocognitive performance and quality of life in individuals experiencing chronic pain, recognizing the multifaceted nature of this phenomenon. Objectives Investigate the association between neurocognitive performance and chronic pain severity. Examine the relationship between neurocognitive deficits and different domains of quality of life in chronic pain. Methods: A diverse sample of 113 participants from Islamabad and Rawalpindi underwent correlational analysis. Neurocognitive performance was assessed using the Montreal Cognitive Assessment (MoCA), chronic pain severity was determined by pain history, and quality of life was measured using a validated scale. Demographic information was collected through an online survey. Results: The sample exhibited diversity in age, gender, and education. Pain history varied, with a majority reporting pain duration of 1-2 years. Neurocognitive performance, measured by MoCA, showed a mean score of 6.6 (±2.1), while the Quality of Life Scale yielded a mean score of 82 (±15). Correlation analysis revealed a weak negative association between neurocognitive performance and quality of life, though statistically non-significant (p = .279). Similarly, the correlation between pain history duration and neurocognitive performance was minimal and non-significant (p = .757). Conclusion: Contrary to expectations, the study did not find a significant correlation between neurocognitive performance and quality of life in individuals with chronic pain. The nuanced relationships observed highlight the complexity of chronic pain experiences, emphasizing the need for a comprehensive understanding that goes beyond the traditional pain-cognition paradigm. Tailored interventions should consider individual differences and address diverse cognitive and psychosocial factors, aiming to improve the overall well-being of those navigating the challenges of chronic pain
Knowledge and Attitude towards Herpes Zoster Vaccination among Population in Abha, KSA
Full text linkHerpes Zoster (HZ) is an infection caused by the Varicella-Zoster Virus reactivation, resulting in pain and vesicular rash with a dermatomal distribution (1). This study aimed to assess knowledge and attitudes toward Herpes Zoster vaccination among the Population in Abha, Saudi Arabia. Methods: -A cross-sectional descriptive study was conducted among adults more than 15 years of age in Abha City, Saudi Arabia. The sample size was 384, and the sampling technique used was non-probability convenient sampling. The data was collected using an online questionnaire, and data were analyzed by using the statistical package for Social (SPSS), version 26. Results: -From the findings of this study, most of the participants (97.7%) were Saudi, more than one-half (60.4%) were females, and single (51.8%). Nearly one-half (47.1%) worked in the non-healthcare field, roughly one-third (32%) were between 21 – 30 years, Majority participants (80.2%) heard about HZ disease; from those participants, more than one-third (35.7%) of their source of information about shingles was the internet. The knowledge level was low in most participants (78.4%) and moderate in more than one-fifth (20.1%). The level of attitude was positive in more than two-thirds of the participants in the study (73.7%). Conclusion: -Most participants had a low level of knowledge and a positive attitude. Educational programs are essential for increasing awareness, and the mass media should be involved in disseminating information on the importance of vaccination against Herpes Zoster.  
The Perplexing Role of Emotional Intelligence in Driving; Anger and Violence in Medical Students
No full textEmotionally intelligent medical students have an awareness about how to respond in a particular situation, they considered the pros and cons before giving response whereas the medical students who are low on the scale of emotional intelligence may react in an absurd way such as being anger and violent. Objectives: This study aimed to investigate the interplay between emotional intelligence (EQ), anger, and violent behavior among medical students. Specifically, it sought to analyze the association between emotional intelligence levels and the expression of anger and violence, as well as to compare emotional intelligence and aggression tendencies between male and female students. Methods: A correlational research design was employed, utilizing online surveys as the data collection method. A total of 200 medical students aged between 19 to 30 years participated in the study. Emotional intelligence, anger expression, and violent behavior were measured using standardized scales. Statistical analyses including descriptive statistics, Pearson correlation, and independent sample t-tests were conducted using SPSS 23.0 software. Results: The findings revealed a significant negative correlation between emotional intelligence and both anger expression and violent behavior. Male students exhibited higher levels of anger and violent behavior compared to female students. Emotional intelligence scores were lower in male students, indicating a potential contributing factor to their heightened aggression tendencies. Conclusion: The study provides empirical evidence supporting the association between emotional intelligence, anger, and violence in medical students. Lower emotional intelligence levels were linked to increased anger expression and violent behavior. These findings underscore the importance of integrating emotional intelligence education programs into medical curricula to mitigate aggression tendencies and promote healthier interpersonal relationships among students
Tax Evasion in Chachapoyas: A Problem That the Ia Can Solve
No full textIn a changing business environment, tax evasion poses a crucial challenge that impacts public finances and competitive equity. This study focuses on applying artificial intelligence in the tax management of micro and small enterprises (MSEs) in Chachapoyas, Peru, between 2018 and 2022. The objective of this study is to investigate how the application of artificial intelligence in the tax management of micro and small enterprises (MSEs) in Chachapoyas, Peru, can contribute to greater tax equity and strengthen corporate social responsibility, thus fostering a fairer and more supportive tax environment in the community. The proposed methodology involves collecting and analyzing the financial statements of micro and small enterprises (MSEs), as well as conducting interviews and questionnaires with their owners. It will focus on five specific objectives ranging from the identification of the causes of tax evasion to the evaluation of MSEs' willingness to adopt technologies in their tax management. In conclusion, promoting the adoption of artificial intelligence could strengthen trust in the tax system, increase tax collection for the common benefit and support the sustainable development of local businesses, generating a positive impact on the community and society as a whole
Marketing 4.0 to Improve the Positioning of the Optical Products of a Private Company, Trujillo, Peru
Full text linkThe objective of this research was to demonstrate to what extent marketing 4.0 improves the positioning of the optical products of the private company Visión D'luxe, Trujillo, it was applied, pre-experimental design, quantitative approach, hypothetical-inductive method, the population consisted of 35 customers who met 10 loyalty requirements. The sample was not required and sampling was not necessary. The unit of analysis was a loyal customer of the private company Visión D'luxe. The survey technique was applied and the questionnaire was used as an instrument. The results show that marketing 4.0 improved the positioning of the company's optical products. In addition, it was found that marketing 4.0 significantly improved the positioning in the dimensions: brand, quality, price and offer of the company Visión D'luxe. It was concluded that the application of marketing 4.0 tactics improved the positioning of the company's optical products, the applied statistical evidence Student's t (SPSS V.26 Software), resulted in all cases that the p-value was below the significance level (0.000 < 0.05), having obtained an excellent reliability of 0.771158 in the application of Cronbach's Alpha
Research on Biomass and Biochar of Reed (Phragmites australis) in U Minh Thuong National Park, Vietnam
No full textAims: Reed (Phragmites autralis) is a plant species with a seasonal reproductive cycle, it has a very high biomass in U Minh Thuong National Park. in Vietnam. To evaluate fresh and dry biomass, then made of biochar on reed plants to use biochar products provide bio-organic fertilizer raw materials for watermelon plant in agriculture. Methods: To achieve that goal several experiments were performed as (1) investtigate the biomass of fresh and dry reeds and made of biochar by using the traditional method; (2) adsorption with pig urine and chemical fertilizer (nitrogen, phosphorus and potash) to see the retention off chemical coponents dispersed into the environment in the adsorbed biochar; (3) mix biochar with inorganic mineral fertilizers and peat to from some inorganic fertilizer – biochar formulas, then consider the chemical composition of that mixture; (4) using some mix biochar fertilizer to grow watermelon with local varieties.Results: The results show that reeds can provide very high biomass to made of biochar fertilizer and reed biochar can adsorption the pig urine as ammonium, nitrate, nitrogen, phosphorus and it also adsorption inorganic as nitrogen, phosphorus and potash. So it is possible to propose the use study for planting watermelon and application treatment environment in the region polluted.Conclusions: Biomass and biochar of reed is very high, biochar can adsorb nitrogen, phosphorus and potash fertilizer; biochar can mixed peat and inorganic mineral fertilizer to planting watermelon in Mekong Delt
Innovative Formulations for Building Construction Bricks: Integration of Marble Dust and Lime as Alternatives to Clay for Improved Construction Brick Fabrication
No full textThis research offers a comprehensive examination of the production of bricks with leftover powdered marble and lime as eco-friendly materials. Different replacement percentages of leftover marble powder and lime (3%, 6%, 9%, and 12%) were applied to the soil to create bricks. Through a series of laboratory experiments, including compression tests, heat transfer tests, and scanning electron microscope (SEM) evaluations, the mechanical, thermal, and microstructural characteristics of the bricks produced were carefully evaluated. Bricks with increasing percentages of waste marble powder and lime replacement were found to have significantly changed physical, mechanical, and microstructural qualities. The findings offer valuable insights into the potential use of leftover marble powder and lime as environmentally friendly additives in brick manufacturing, with a focus on opportunities to enhance both sustainability and usability
Applying Artificial Intelligence to Support the Detection and Treatment of Melasma
Full text linkThis study, we propose a solution to apply artificial intelligence to assist in detecting whether a person may have melasma or not through data sets related to information about a person's daily activities, then If we detect a person with a high likelihood of having melasma, we will apply machine learning to diagnose the type of melasma through a photo taken of that person. Through a machine learning model of predicting and diagnosing a person's melasma, we also suggest relevant prevention and treatment options based on the disease's prevention and treatment regimen. Our method build predict Melasma model based on Catboost machine learning algorithm on users' data combined with medical practice data commu-nity by dermatologists to predict the disease and make some necessary recommendations in the patient screening. Based on our dataset, we have statistically described the data characteristics as well as the correlated data parameters that may cause Melasma. The method using for diagnosing melasma disease based on machine learning algorithms with input data being facial images. we built a machine learning model for diagnosing melasma to detect melasma objects to support dermatologists in predicting the risk of melasma in a person after entering his/her facial image. Our dataset of facial images combined with the expertise of melasma experts to classify different types of melasma. We used YOLO V8 with machine learning algorithms to detect melasma objects to build a diagnostic model for whether a patient has melasma and with which type of melasma such as central melasma, butterfly-shaped melasma, or mandibular melasma
Theoretical Modeling of a Beam with Variable Section and Finite Rigidity in A Fatigue Testing Machine to Verify the Bending Moment Produced in The Central Portion of The Smallest Diameter of The Beam Subjected to External Loads
Full text linkThere is a bending fatigue machine where it is detected that when loads are applied, the theoretical model of the beam with which the machine was designed to obtain the bending moment does not coincide with the real measurements of the bending moment obtained experimentally and the specimen does not break, to determine the correct theoretical modeling applicable to this fatigue machine, the following static models are proposed, and the theoretical results are obtained through computer simulation. The bending moment values ??produced by the applied loads are verified with measurements through the Hooke and Navier law using strain gages, the analysis of the different modeling is carried out and those that are closest to the real model obtained experimentally are analyze