In this paper, we defend three claims about what it will take for an AI system to be a basic moral patient to whom we can owe duties of non-maleficence not to harm her and duties of beneficence to benefit her: (1) Moral patients are mental patients; (2) Mental patients are true intentional systems; and (3) True intentional systems are systematically flexible. We suggest that we should be particularly alert to the possibility of such systematically flexible true intentional systems developing (...) in the areas of exploratory robots and artificial personal assistants. Finally, we argue that in light of our failure to respect the well-being of existing biological moral patients and worries about our limited resources, there are compelling moral reasons to treat artificial moral patiency as something to be avoided at least for now. (shrink)

Accurate assessment and comprehension of smoking behavior are pivotal for elucidating associated health risks and formulating effective public health strategies. In this study, we introduce an innovative approach to predict and analyze smoking prevalence using an artificial neural network (ANN) model. Leveraging a comprehensive dataset spanning multiple years and geographic regions, our model incorporates various features, including demographic data, economic indicators, and tobacco control policies. This research investigates smoking trends with a specific focus on gender-based analyses. These findings are pivotal (...) for enhancing public health initiatives aimed at mitigating tobacco use, assessing associated health risks, and mitigating smoking-related diseases. (shrink)

Geleneksel tıptaki büyük ilerlemelere rağmen tamamlayıcı ve alternatif tıp (TAT) uygulamaları hala yaygın olarak kullanılmaktadır. TAT, geleneksel tıbbın bir parçası olarak görülmeyen, çeşitli tıbbi ve sağlık sistemlerini ve ürünlerini içeren uygulamalardır. Bu derlemede kalp hastalıklarında sıklıkla kullanılan TAT yöntemleri, hasta ve hastalık üzerine etkilerinden bahsedilecektir.

Tamamlayıcı ve alternatif tıp (TAT) uygulamaları temel tıbbi tedaviye ek ya da temel tıbbi tedavinin yerine kullanılan, uygulamaları genelde konvansiyonel tıp tarafından tedavi olarak kabul edilmeyen çeşitli tıbbi ve sağlık bakım sistemi, pratikleri ve ürünleri olarak tanımlanmaktadır (Hossein et al., 2014, Amira ve Okubadejo, 2007; National Institutes of Health [NIH], 2018). TAT konusunda yapılan araştırmalar Afrika, Asya ve Latin Amerika gibi gelişmemiş ya da gelişmekte olan ülkelerde hastaların bazı tedavi ihtiyaçlarını karşılamak amacıyla geleneksel uygulamalara başvurmaları doğrultusunda geleneksel tıp teriminin tamamlayıcı (...) ve alternatif tıpa karşılık gelecek şekilde kullanıldığını da göstermektedir. (shrink)

This article explores the relationship between the bodily presence of other humans in the lived urban world and the experience of everyday architecture. We suggest, from the perspectives of phenomenology and architecture, that being in the company of others changes the way the built environment appears to subjects, and that this enables us to perform simple daily tasks while still attending to the built environment. Our analysis shows that in mundane urban settings attending to the environment involves a unique attentional (...) mode, which does not rely on concentrating on, or appreciating the architectural objects, but rather on social attention and on the subject’s kinesthesis in relation to the built environment. (shrink)

Abstract: The efficiency and performance of sorting algorithms play a crucial role in various applications and industries. In this research paper, we present a comprehensive comparative analysis of popular sorting algorithms on datasets of different sizes and characteristics. The aim is to evaluate the algorithms' performance and identify their strengths and weaknesses under varying scenarios. We consider six commonly used sorting algorithms: QuickSort, TimSort, MergeSort, HeapSort, RadixSort, and ShellSort. These algorithms represent a range of approaches and techniques, including divide-and-conquer, hybrid (...) sorting, and simple comparison-based methods. To assess their performance, we employ a diverse set of datasets, including the Iris dataset (1K), student dataset (5.8K), Wine dataset (6.5K), Uniform (10K), Normal (10K), Exponential (10K), Bimodal (10K), Yelp dataset (10K), MNIST dataset (42K), Uniform (100K), Normal (100K), Exponential (100K), Bimodal (100K), Uniform (500K), Normal (500K), Exponential (500K), Bimodal (500K), Uniform (1M), Normal (1M), Exponential (1M), and Bimodal (1M). These datasets cover a wide range of sizes and characteristics, allowing us to analyze the algorithms' performance across different dimensions. We measure and compare several key metrics, including execution time, memory usage, algorithmic complexity and stability. By analyzing these metrics, we gain insights into the efficiency and suitability of each algorithm for different dataset sizes and characteristics. We also discuss the implications of the findings in practical applications. Our results reveal important trade-offs among the sorting algorithms. While some algorithms excel in certain scenarios, others demonstrate better scalability or memory efficiency. We identify the best-performing algorithms for specific dataset characteristics and highlight their strengths and limitations. This research can assist developers and practitioners in selecting appropriate sorting algorithms based on their specific requirements and dataset characteristics. In conclusion, this comparative analysis provides a valuable contribution to the understanding of sorting algorithm performance. The findings contribute insights into the efficiency and suitability of popular sorting algorithms across datasets of different sizes and characteristics. By evaluating key metrics and discussing the implications, we offer guidance for selecting the most appropriate sorting algorithm in various practical scenarios. (shrink)

Herhangi bir şeyi, kendisi dışında başka bir şeyle belirtmek olarak tanımlanabilen metafor; İslâm coğrafyasında, özellikle tasavvuf ve sûfizm çalışmalarında, önemli bir ifade yöntemi olarak kullanılmaktadır. Spesifik olarak edebî hikâyelerin ifadelerine daha güçlü, vurgulu ve manidar bir anlatım katabilmek adına, filozoflar sembolik ya da metaforik anlatım ve ifadelerden faydalanmışlardır. İslâm filozoflarından, yoğun olarak bu ifade dilini kullananlar başta Mevlânâ Celâleddîn-i Rumî olmak üzere; İbn Sînâ, Ahmed el-Gazâlî, Şehabeddîn Sühreverdî ve bu çalışmada üzerinde duracağım Mollâ Câmî (Mevlânâ Nureddîn Abdurrahîm el-Câmî)'dir. Mollâ Câmî; (...) Leyla ile Mecnun, Yûsuf ile Züleyha, Salaman ile Absal gibi derleme mesnevîleri İranlı klasik şairlerin sonuncusu sayılmasının yanı sıra Nefâhatü'l-üns kitabıyla birlikte tasavvuf felsefesinin de önemli kaynak ve bilginlerindendir. Bu çalışmada da Mollâ Câmî'nin eserlerinde bir ifade dili niteliğinde kullandığı metaforik anlatım ve ifadelere, bunların kullanım alanlarına, örneklendirmelerle değinilecektir. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...) face when adopting AI, such as data privacy concerns, integration difficulties, and the need for skilled professionals. The paper concludes by offering recommendations for successfully implementing AI solutions to maximize benefits while mitigating potential challenges. (shrink)

Abstract: This research paper presents the development and evaluation of a neural network-based model for predicting fire alarms in smoke detection systems. Using a dataset from Kaggle containing 15 features and 3487 samples, we trained and validated a neural network with a three-layer architecture. The model achieved an accuracy of 100% and an average error of 0.0000003. Additionally, we identified the most influential features in predicting fire alarms.

Objectives: This study aimed to fill the gap between Vietnamese diabetic patients' needs and care through a qualitative study asking about their experiences with diabetes and quality of care. -/- Methods: Interviews with five diabetic patients were conducted at a tertiary general hospital located in southern Vietnam. The transcribed data were first subjected to quantitative text analysis using KH Coder to identify major categories of frequently used words, followed by a qualitative analysis of selected cases using the Steps for Coding (...) and Theorization (SCAT) method. -/- Results: The major categories of frequently used words were chronic health conditions, services, facilities, insurance, patient-doctor communication, and medication. SCAT analysis of three selected cases identified six themes: “Disregarding the disease at the early stage,” “Fear of complications,” “Satisfaction with hospital services and medical staff,” “Insurance-related problems,” “Long waiting times,” and “Communication barriers between patients and doctors.” Patients were satisfied with improved hospital facilities and services; however, the overloading of one hospital led to long waiting times and communication difficulties with doctors. Difficulties with health insurance were also observed, and patients were rather passive in disease management and needed to be empowered through improved communication with doctors and other care providers. -/- Conclusion: These findings from our trial of introducing a qualitative study into service evaluation suggest that listening to patients can help health providers learn their perspectives and be more responsive to their needs. (shrink)

Today the world is suffering from coronavirus (COVID-19) pandemic illness, and people all around the world stay at home due to its rapid spread. People including students gather information and government instructions through TVs, social media and others around them. Since the classes were canceled in many countries, the novel coronavirus affects students’ interest in coursework. The purpose of this study was to examine the effect of TV news, social media and communication with people on interest in coursework, and mediating (...) roles of fear of contamination, depression, and anxiety on these effects. A path analysis was carried out with the data collected from 773 college students. The results showed that interest in coursework was most strongly affected by communication with people. This was due to its direct and indirect effects. Social media and TV News did not directly affect interest in coursework, but indirectly affected. The study also found that among the three mediator variables, the mediator roles of anxiety was bigger than the others. Understanding the findings of this research has become very important to us, especially at a time when face-to-face lessons have been canceled all over the world and transitioned to online education. Specific recommendations for practitioners and limitations for future research were also provided in the study. (shrink)

Ang pag-aaral na ito ay naglalayong alamin ang kapaligirang pampagkatuto, klimang pangklasrum at performans sa Filipino ng mga mag-aaral sa grado labing-isa (11) ng Mataas na Paaralang Nasyonal ng Ajuy. Ito rin ay naglayong matukoy kung mayroong makabuluhang pagkakaiba sa kapaligirang pampagkatuto at klimang pangklasrum at kung mayroon bang makabuluhang kaugnayan sa performans sa Filipino. Ang mga kinakailangang datos ay tinipon sa pamamagitan ng pagbigay ng talatanungan sa kapaligirang pampagkatuto, klimang pangklasrum at pagsusulit sa performans sa Filipino. Isandaan na nagmula (...) sa Mataas na Paaralang Nasyonal ng Ajuy ang naging kalahok sa pagaaral na ito. Sila ay pinili gamit ang stratified quota random sampling. Ang mga datos ay sinuri sa larangan ng computerprocessed statistics, percentage mean, frequency count, standard deviation, One Way ANOVA (Analysis of Variance), t-test at Pearson’ r. Ang alpha level ay nakaset sa .05 sa lahat ng inferensyal na pagsusulit. Ang mga natuklasan ay nagpakita na may “kaaya-aya” na antas ang kapaligirang pampagkatuto at may “kaaya-aya” na antas ang klimang pangklasrum. Napag-alaman din na mayroon silang “katamtamang” performans sa Filipino. Nakita rin sa pananaliksik na ito na “walang makabuluhang kaugnayan” ang performans sa Filipino sa antas ng kapaligirang pampagkatuto at antas ng klimang pangklasrum. Napag-alaman din na “walang makabuluhang pagkakaiba” ang kapaligirang pampagkatuto sa performans sa Filipino. “Wala ring makabuluhang pagkakaiba” ang klimang pangklasrum ng mga mag-aaral sa Filipino sa performans sa Filipino. Napag-alaman din na “walang makabuluhang kaugnayan” ang kapaligirang pampagkatuto sa klimang pangklasrum maging ang kapaligirang ampagkatuto sa performans sa Filipino gayundin ang klimang pangklasrum at performans sa Filipino. (shrink)