This paper delves into the significance and challenges of Artificial Intelligence (AI) ethics and justice in terms of Common Good and Well-being, fairness and non-discrimination, rational public deliberation, and autonomy and control. Initially, the paper establishes the groundwork for subsequent discussions using the Academia Sinica LLM incident and the AI Technology R&D Guidelines of the National Science and Technology Council(NSTC) as a starting point. In terms of justice and ethics in AI, this research investigates whether AI can fulfill human common (...) interests and welfare. Taking AI injustice as an example, I analyze the practical assessment of AI regarding regional, industrial, and social impacts. Further, this paper discusses the challenges of fairness and non-discrimination in AI, specifically addressing the issue of training on biased data, discussing the acquisition of bias by AI and post-processing supervision issues, and emphasizing the importance of rational public deliberation in this process. Then, this research examines the challenges and countermeasures the rational public faces in public deliberation, such as the importance of education in STEM scientific literacy and technological capabilities. Finally, in discussing AI and autonomy, I propose a 'Human-Centered Approach’ rather than relying solely on the 'Technological Utility Maximization' brought by AI to achieve substantial AI justice. -/- Keywords: AI Ethics and Justice, Fairness and Non-Discrimination, Biased Data Training, Public Deliberation, Autonomy, Human-Centered Approach . (shrink)

In light of Taiwan's extensive exposure to the Chinese Communist Party's "cognitive domain infiltration warfare," this paper proposes new response mechanisms and strategies for cybersecurity and national defense. The focus is primarily on assessing the CCP's cognitive infiltration tactics to develop policy recommendations in cybersecurity linguistics. These recommendations are intended to serve as a reference for future national defense and information security policies. Within the constraints of limited resources, this study attempts to provide an integrated analysis method combining qualitative and (...) quantitative tools. This method involves text mining in cybersecurity linguistics, focusing on "textual content" and incorporating discourse deconstruction. The aim is to enhance the success rate in identifying and defining contentious information in cognitive warfare, thereby offering policy suggestions. -/- Keywords: Cognitive Infiltration, Big Data Corpus, Cybersecurity Linguistics, Text Mining Analysis, Narrative Language Deconstruction. (shrink)

The psychological and neurobiological processes underlying moral judgement have been the focus of many recent empirical studies1–11. Of central interest is whether emotions play a causal role in moral judgement, and, in parallel, how emotion-related areas of the brain contribute to moral judgement. Here we show that six patients with focal bilateral damage to the ventromedial prefrontal cortex (VMPC), a brain region necessary for the normal generation of emotions and, in particular, social emotions12–14, produce an abnor- mally ‘utilitarian’ pattern of (...) judgements on moral dilemmas that pit compelling considerations of aggregate welfare against highly emotionally aversive behaviours (for example, having to sacrifice one person’s life to save a number of other lives)7,8. In contrast, the VMPC patients’ judgements were normal in other classes of moral dilemmas. These findings indicate that, for a selective set of moral dilemmas, the VMPC is critical for normal judgements of right and wrong. The findings support a necessary role for emotion in the generation of those judgements. (shrink)

This study aimed to explore the rhetorical moves of article abstracts in Taiwanese Chinese philosophy journals. The most common theory for the discourse analysis of research abstracts is proposed by Hyland（2000）. Most of the research abstracts in the field of social sciences and natural sciences are composed of Hyland’s five rhetorical moves: introduction, purpose, method, results, and conclusion. Therefore, the question to be explored in this research is how to compose the rhetorical moves of abstracts of Chinese philosophy journal articles. (...) What is the frequency and order of each rhetorical move in the abstract of each paper? Do they reflect some particular type of distribution? Are there any rhetorical moves that occur exceptionally rarely? Does the abstract of research articles in Chinese philosophy journals apply the framework of the same five rhetorical moves? What are the conventions of the philosophy writing community reflected in the rhetorical moves of abstracts of academic journal articles in philosophy? -/- To answer the above questions, this research collected the abstracts of 18 papers from the representative Chinese philosophy journal "SOOCHOW JOURNAL OF PHILOSOPHICAL STUDIES " in Taiwan in the past five years (2017-2021) and used the five moves of Hyland（2000） one by one to answer the above questions. The rhetorical moves of each abstract were analyzed and presented in tables to show the frequency, order, and type of each rhetorical move. -/- The results of this study found that "method (M)" and "conclusion (C)" are not the rhetorical moves that constitute the abstract of articles in Taiwanese philosophy journals, but the rhetorical move "purpose (P)" is "necessary" to appear. In the Purpose move, the subject is usually "this article"; the verbs are "argue" or "inquire." Although "introduction (I)" is a "conventional" move, the total number of words in the introduction is the highest in the whole abstract. This study also shows rhetorical move variation of the abstracts of philosophy journal articles, reflecting the writing culture and conventions of the academic philosophy community. -/- Finally, this study proposes three teaching guidelines for abstract writing of academic papers in philosophy, which will be useful for philosophy scholars and graduate students to consult when writing and submitting abstracts of philosophy in conference or journal papers. -/- Keywords: philosophy, journal article, abstract, discourse analysis, rhetorical move . (shrink)

Education fundamentally focuses on 'individuals', whose human value is rooted in the expression of 'self-identity'. This process is influenced by their social rank and linguistic culture, and within varied discourses and ideological communities, different 'self-identity values' emerge. This applies to all individuals, whether they are citizens or women, and encompasses complex social metaphysical questions. For instance, how do we define social identities such as poverty, disability, privilege, or femininity? 'Intuition' and 'common sense' often fail in such definitions, especially in recognizing (...) exceptions like gender identification, which challenges the distinctions between biological sex and gender identity. The paper analyzes 'Social Historical Structuralism' and ' Performative Theory' to see if they address the challenges of 'Essentialism'. It assesses both pluralism and monism and the autonomy of the 'true self' in educational philosophy's core concepts, grounded in the philosophy of self-identity. This study starts from female community perspectives, addressing women's disadvantaged status in social and linguistic structures and the impact of individualism on gender mainstreaming. This paper concludes by re-evaluating monistic approaches and considering the equitable recognition of community members' autonomy, underscoring the importance of self-identity in educational philosophy amidst the growing influence of identity politics in Western education. -/- Keywords: Self-Identity and Educational Philosophy, Social Metaphysics, Class and Identity, Ideology and Autonomy . (shrink)

This paper explores the correlation between economic indicators and economic development, focusing on common economic indicators such as GDP, Purchasing Power Parity (PPP), economic growth rate, and unemployment rate. It compares and analyzes data from Taiwan, Japan, South Korea, the United States, and China. The study finds that a single economic indicator cannot fully reflect a country's economic development and that multiple indicators must be considered to assess the economic situation more accurately. The paper also discusses differences in economic growth (...) among countries, the impact of income disparity and unemployment rates on economic development, and emphasizes the importance of PPP in cross-country comparisons. Finally, it points out that in addition to GDP, factors such as income distribution and social welfare should also be considered when evaluating economic development. -/- Keywords: Economic Indicators, Gross Domestic Product (GDP), Purchasing Power Parity (PPP), Economic Growth Rate, Unemployment Rate. (shrink)

This thesis is a defense of (a version of) moral perceptualism. Moral perceptualism (MP), as is generally understood, advocates the bold view that “moral properties can be perceptual content”; its supporters include Audi (2013, 2015), Lord (2018), McNaughton (1988), McBrayer (2010a, 2010b), Cowan (2015), and Werner (2016, 2020b). In support of MP, Werner (2016) bolsters what he calls ‘phenomenal contrast arguments(PCAs)’. According to PCAs, the best explanation for inter-subjective phenomenal contrast between two subjects facing the same moral situation is that (...) one subject has moral perceptual experience(s) of moral properties, whereas the other does not. If PCAs are sound, then MP can be justified (in that one subject does perceive moral properties). However, some powerful counterarguments against MP have been proposed by Väyrynen(2018), Reiland(2021), and Chudnoff(2015); each of them provides competing explanations for inter-subjective phenomenal contrast and argues that their explanations are more reasonable than PCAs. My purposes in this thesis are to ascertain (I) which explanation for inter-subjective phenomenal contrast is more reasonable; (II) (how) could moral perceptualists like Werner (2016, 2020b) properly reply to the counterarguments against MP？ Or is there any better alternative explanation that could support MP？ As regards (I), I will argue that Väyrynen’s(2018), Reiland’s(2021), and Chudnoff's (2015) alternative explanatory models for inter-subjective phenomenal contrast are not to be seen as competing explanations against the one provided by MP; rather, they are complementary to it. As regards (II), I argue that Väyrynen’s(2018), Reiland’s(2021), and Chudnoff's (2015) conterarguments against MP at most demonstrate that certain moral properties (e.g., rightness/ wrongness/goodness/badness) can’t be part of the perceptual content, but their arguments do not (or indeed cannot) rule out the possibility that moral salience can be properly construed as part of the perceptual content. In light of this, I argue that an alternative version of moral perceptualism, or what I call ‘moral salience perceptualism’, according to which “moral salience can be part of the perceptual content”, still remains alive and kicking in face of their counteraguments. Moreover, I argue that moral salience perceptualism is explanatorily superior to Werner’s (2016) version of MP in terms of explaining inter-subjective phenomenal contrast. -/- Keywords： moral perceptualism, phenomenal contrast, moral salience, moral experiences, moral judgments -/- . (shrink)

In this position paper, we have used Alan Cooper’s persona technique to illustrate the utility of audio- and video-based AAL technologies. Therefore, two primary examples of potential audio- and video-based AAL users, Anna and Irakli, serve as reference points for describing salient ethical, legal and social challenges related to use of AAL. These challenges are presented on three levels: individual, societal, and regulatory. For each challenge, a set of policy recommendations is suggested.

1. Over the last 50 years or so, and especially over the last few decades, the U.S. and many other societies have undergone a large, rapid, and broad decline in anti-gay attitudes. The magnitude, s...

This qualitative case study investigates the environmental implications of tourist arrivals in Matabungkay Beach, Lian, and their impact on the destination image. Through in-depth interviews with seven key stakeholders, including local residents, business owners, and environmental activists, the study explores perceptions, concerns, and potential solutions regarding the intersection of tourism and environmental sustainability. Findings reveal a complex relationship between tourism and environmental degradation, with participants expressing concerns about poor waste management, impacts on destination image, and health concerns. These challenges (...) not only threaten the natural beauty and biodiversity of the area but also tarnish the destination's image, affecting its appeal to tourists and potential investors. Despite these challenges, participants highlight existing initiatives and potential solutions, including community-based conservation efforts, sustainable tourism practices, and enhanced regulations. Collaboration among stakeholders is emphasized as crucial for achieving a balance between tourism development and environmental preservation. The study underscores the need for comprehensive strategies includes formulated an ordinance for comprehensive waste management and pollution control ordinance to optimize the destination image of Matabungkay Beach while addressing its environmental challenges. By integrating sustainable practices and fostering community engagement, the destination can enhance its appeal while safeguarding its natural resources for future generations. (shrink)

有鑒於臺灣逐年受到中共「認知領域滲透作戰」的大量攻擊，本文針 對資安國防概念下位的認知戰層面，提出了臺灣可以採取與建立的新型應對 措施機制。本文主要係針對了中共認知滲透作戰作為評估對象，發展資安語 言學政策上的方針建議，期許容或可作為未來國防資訊安全的政策建言參照。 本文嘗試在較為硬理論的面向上，提供資安語言學文本探勘結合言談解構等 質性與量化工具盒整合分析的概括方法論。期許本文的研究結果，往後得以 使我方能組成相關跨領域專家團隊，來因應中共認知滲透作戰攻擊之挑戰。 -/- 關鍵詞：認知滲透作戰、大數據語料庫、資安語言學、文本探勘分析、敘事 語言解構 .

In this paper, I expand my upon earlier linguistic research (Lian, 2023), which delved into the genre of abstracts from Western philosophical papers. I engage with the philosophical ramifications emanating from the guidelines established for crafting philosophy paper abstracts (Lian, 2023) and underscore their significance in the domain of academic philosophical writing. A pivotal focus of this research is to navigate the intricate philosophical challenges posed by cross-disciplinary investigations bridging applied linguistic statistics with philosophical paper composition, specifically, the (...) nuanced interpretation of linguistic findings in a manner palatable to philosophers. My exploration probes into the dynamics of various concepts within Inter-Disciplinary Research (IDR), highlighting the complexities in reconciling semantic intuitions related to the notions of "Method (M)" and "Conclusion (C)". I delineate three philosophical stances: (1) deferring to scientific authority, (2) recognizing domain-specific terminologies, and (3) interrogating peripheral scientific theories. I posit that these stances significantly influence the ways philosophers engage with and resolve the cross-disciplinary semantic and theoretical contentions stemming from the rhetorical structures of "Method (M)" and "Conclusion (C)". This work proposes avenues to attain either "theoretical coherence" or "disciplinary synthesis", thereby fostering enhanced cross-disciplinary collaboration and fortifying academic discourse across diverse fields. -/- Keywords: Inter-Disciplinary Research (IDR), Applied linguistics, Philosophical writing, Genre Analysis, Rhetorical Moves . (shrink)

Contentful Moral Perceptualists such as Audi (2013), Lord (2018), McNaughton (1988), McBrayer (2010a, 2010b), Cowan (2014, 2015), and Werner (2016, 2018) claim that moral propositions can serve as the content of perception for moral subjects. However, in my original interpretation, recent critics of moral perceptualism, such as Faraci (2015), Väyrynen (2018), and Chudnoff (2015), subtly suggest that it is more reasonable to claim that moral propositions are the content of cognition rather than perception. Faraci, Väyrynen, and Chudnoff argue that the (...) so-called "moral perception" posited by Contentful Moral Perceptualists is actually dominated by dominative moral principles, representing a psychological state inferred from principles. Therefore, these critics believe that the so-called "moral perception" lacks the non-inferential characteristic of genuine perceptual experience and is not true perception. This paper will evaluate whether the "contentful moral perceptual model" can respond to the challenges posed by these critics. I will provide a preliminary defense for an affirmative answer. -/- Keywords: Moral Perception, Phenomenal Contrast Method, Perceptual Content, Phenomenal Experience, Non-Inferential Characteristics of Perception . (shrink)

本研究將先介紹筆者的語言學碩士論文（連，2023），如何分析《東吳哲學學報》2017年至2021年西方哲學論文摘要語體的修辭語步特徵與提供寫作建議，並試圖從哲學圈內人的角度，對連（2023）的哲學寫作 建議進行批判性的反思，探討哲學教師或新手哲學家可以如何看待華文哲學論文摘要的寫作建議。接著，筆者將問題聚焦在跨領域學科（應用語言學統計結果與哲學論文寫作）之間的哲學問題，即——哲學家應如何看待語言學家 針對哲學論文的研究結果。筆者將考慮領域間研究（IDR）的語言與詞語概念關係。而藉由討論上述跨領域研究中語義直覺分歧的問題，筆者提出了三種可能的哲學態度：(1)服從科學權威、(2)尊重特定領域用詞、(3 )質疑邊緣科學理論。筆者認為，上述三種態度對於哲學家如何看待「方法(M)」和「結論(C)」這兩項跨領域語義概念分歧和可能理論分歧有著重要的影響。筆者希冀藉由提出相關解決方案來尋求「理論統一」或「領域整 合」的可行性，最終得以促進跨領域合作與跨學門間良好學術交流的互動成長。 -/- 關鍵詞：領域間研究（IDR）、應用語言學、哲學寫作、語體分析、修辭語步 .

本文深入探討人工智慧（AI）於實現共同福祉與幸福、公平與非歧視、理性公共討論及自主與控制之倫理與正義重要性與挑戰。以中央研究院LLM事件及國家科學技術委員會（NSTC）AI技術研發指導方針為基礎，本文 分析AI能否滿足人類共同利益與福祉。針對AI不公正，本文評估其於區域、產業及社會影響。並探討AI公平與非歧視挑戰，尤其偏差數據訓練問題，及後處理監管，強調理性公共討論之重要性。進而，本文探討理性公眾於 公共討論中之挑戰及應對，如STEM科學素養與技術能力教育之重要性。最後，本文提出“以人為本”方法，非僅依賴AI技術效用最大化，以實現AI正義。 -/- 關鍵詞：AI倫理與正義、公平與非歧視、偏差數據訓練、公共討論、自主性、以人為本的方法.

本論文探討了經濟指標與經濟發展之間的相關性，著重於 GDP、購買力平 價（PPP）、經濟成長率、失業率等常見的經濟指標，並對台灣、日本、韓國、 美國和中國等國家的數據進行比較分析。研究發現，單一經濟指標無法全面反 映一國的經濟發展，需要結合多個指標來更準確地評估經濟狀況。論文也討論 了各國在經濟成長中的表現差異，以及貧富差距和失業率對經濟發展的影響， 並強調了購買力平價在跨國比較中的重要性。最後，文章指出在衡量經濟發展 時，除了 GDP，還應考慮收入分配及社會福祉等因素。 -/- 關鍵詞：經濟指標、國內生產毛額 (GDP)、購買力平價 (PPP)、經濟成長率、 失業率 .

內容型道德感知主義者（Contentful Moral Perceptualists）： Audi (2013), Lord (2018), McNaughton (1988), McBrayer (2010a, 2010b), Cowan (2014, 2015), Werner (2016, 2018) 宣稱 道德命題(moral proposition)可以作為道德主體的感知內容(content of perception)。然而，在筆 者原創的詮釋下，晚近反駁道德感知主義的學者，如： Faraci (2015), Väyrynen (2018), Chudnoff (2015)，則隱約透露出以下想法：「與其宣稱道德命題是感知內容，不如宣稱道德 命題是認知信念內容(content of cognition)〕更為合理」。Faraci、Väyrynen、Chudnoff 都認為 「內容型道德感知主義者所謂的道德感知」背後其實是受到宰制型的道德原則（dominative moral principles）所主導的，是一種從原則所推論產生的心理狀態; 也因此，上述反駁者認為 「內容型道德感知主義者所謂的〔道德感知〕」缺乏貨真價實的感知經驗所具有的「非推論 的」(non-inferential)特徵，並不是真正的感知。本文將評估：「內容型的道德感知模型」是 否有辦法回應上述反駁者所提出的挑戰呢？ 筆者將為肯定的答案供提初步的辯護。 -/- 關鍵詞：道德感知、現象對比⽅法、感知內容、現象經驗、感知的非推論特徵.

道德感知主義（moral perceptualism）主張「（至少有一些）道德性質（moral properties）可以是主體感知內容（perceptual content）的一部分」，其中的支持者包含了Audi （2013, 2015）; Lord （2018）; McNaughton （1988）; McBrayer （2010a, 2010b）; Cowan （2015）; Werner （2016, 2020b）。其中，Werner （2016）認為他所提出的「現象對比論證（Phenomenal Contrast Arguments, PCAs）」可以用來證立道德感知主義。此論證強調了某些道德情境中有「跨主體的現象對比」（inter-subjective phenomenal contrast）的存在；換句話說，兩個主體面對同一場景時，其經驗各別顯現出不同的現象特性/現象特徵（phenomenal character）。此論證認為對於「跨主體間的現象對比（inter-subjective phenomenal contrast）」的最佳解釋說明是兩個不同主體在道德感知經驗上有所差異(contrast in moral perceptual experience)。簡言之，根據此論證，跨主體的現象對比的最佳解釋是：某個主體感知到了道德性質，但另一個主體則缺乏這種感知。若此解釋成立，則其蘊含，主體的確可以感知到道德性質 （至少其中一個主體的確感知到了道德性質），也因此，道德感知主義就可以被證立。然而，Werner （2016）所擁護的現象對比論證與道德感知主義，卻遭受許多哲學家的質疑與抨擊，尤以Väyrynen（2018）; Reiland（2021）; Chudnoff（2015）等人為代表。他們也分別提供了各自對於「跨主體間的現象對比」的相競替代解釋方案，並嘗試論證他們的說法相較於Werner （2016）的道德感知主義解釋方案來得更有解釋效力、且更為合理。本篇論文的主要目標是，剖析與回應以下兩個問題：（I）上述質疑者的替代解釋方案是否說得通？它們是否較之道德感知主義的解釋方案來得更好呢？（ II）道德感知主義者是否能恰當回應質疑者的挑戰呢？倘若Werner （2016, 2020b）的說法不足以回應質疑者的話，道德感知主義者是否能夠有其他的解套方案呢？針對問題（I），筆者將論證，Väyrynen（2018）; Reiland（2021）; Chudnoff（2015）等人對於道德感知主義的質疑大致上言之成理，可和Werner （2016）的理論成為具有同等解釋力的相競解釋方案。但針對問題（II），筆者將指出Väyrynen（2018）; Reiland（2021）; Chudnoff（2015）等人頂多只能說明「對錯好壞」這類的整體道德性質（overall moral properties）無法作為感知的內容，但並未排除掉道德主體仍舊可以感知到「道德顯著性」（moral salience）這類初步確定道德性質（pro-tanto moral properties）的可能性。也因此，這並未排除一種本論文所擁護的改良版本的道德感知主義。根據此改良版本的道德感知主義，雖然對錯好壞這類的整體道德性質本身也許無法做為感知的內容，然而道德顯著性仍然可 以是感知內容。筆者將此改良版本稱之為「道德顯著性感知主義」(moral salience perceptualism)。為了突顯此版本的優點，筆者將進一步論述，此改良版的道德感知主義可以恰當地解釋跨主體間的現象對比（inter-subjective phenomenal contrast），並可規避原來Werner （2016）版本所招來的質疑。 -/- 關鍵詞：道德感知主義、現象對比論證、道德顯著性、道德經驗與道德判斷、道德教育 .

The importance of situational constraint for moral evaluations is widely accepted in philosophy, psychology, and the law. However, recent work suggests that this relationship is actually bidirectional: moral evaluations can also influence our judgments of situational constraint. For example, if an agent is thought to have acted immorally rather than morally, that agent is often judged to have acted with greater freedom and under less situational constraint. Moreover, when considering interpersonal situations, we judge that an agent who forces another to (...) act immorally (versus morally) uses more force. These two features can result in contradictory response patterns in which participants judge both that (1) a forcer forced a forcee to act and (2) the forcee was not forced by the forcer to act. Here, we characterize potential psychological mechanisms, in particular, “moral focus” and counterfactual reasoning that account for this paradoxical pattern of judgments. (shrink)

Glucagon-like peptide-1 (GLP-1) receptor agonists, such as semaglutide, and dual GLP-1 and glucose-dependent insulinotropic polypeptide (GIP) receptor agonists, such as tirzepatide, have been found to be effective for treating obesity and diabetes, significantly reducing weight and the risk or predicted risk of adverse cardiovascular events. There is a global shortage of these medications that could last several years and raises questions about how limited supplies should be allocated. We propose a fair-allocation framework that enables evaluation of the ethics of current (...) practices and could guide governments, professional societies, and physicians in allocation decisions. (shrink)

Abstract: Dates are the fruit of date palm trees, and it is one of the fruits famous for its high nutritional value. It is a summer fruit spread in the Arab world. In the past, the Arabs relied on it in their daily lives. Dates take an oval shape and vary in size from 20 to 60 mm in length and 8 to 30 mm in diameter. The ripe fruit consists of a hard core surrounded by a papery cover called (...) the tartar that separates the core from the fleshy part that is eaten. Historians disagreed about the place of its origin, so some historians expressed their belief that it had originated around the Arabian Gulf, and some of them say that the oldest known information about palm trees was in Babylon 4 thousand years ago BC. It is known about the ancient Egyptians using dates in wine. Dates contain a high nutritional value and are considered a basic food for man since ancient times. The fruits of dates are considered the highest fruits in containing sugars. These components vary according to the nature of the fruit, whether it is wet, semi-dry or dry, as well as according to the environmental conditions surrounding the trees. The components of the fruits also differ in different varieties and increase the percentage of sugars in dates is 70-78% of the fruit’s components. These sugars are characterized by their rapid absorption and transfer into the blood directly, digestion and burning. 10 dates (about 100 grams) per day provide a person with all his daily needs of magnesium, manganese, copper, sulfur and half of his needs of calcium and potassium. In this paper we presented a system that recognize the nine types of dates based on deep learning using python on Colab, and classifying using a dataset contain 1350 images. Our trained model achieved an accuracy of 99.44% on a proven test set. (shrink)

The traditional use of conventional media by businesses for audience targeting has shifted with the rise of influencer marketing, notably on platforms like TikTok, posing challenges in content adaptation and technological adaptation. Albert Bandura's Social Cognitive Theory examines factors shaping purchasing behavior, particularly relevant for young professionals. A quantitative correlational study focused on young professionals engaging with TikTok and influenced by Filipino TikTok creators, revealing education level as a key determinant of purchasing behavior. Extended TikTok engagement positively correlates with increased (...) purchasing likelihood. Filipino TikTok influencers significantly impact young professionals' purchasing decisions, emphasizing the need for tailored marketing strategies targeting this demographic. Recommendations were provided for effective influencer and digital marketing strategies targeting young professionals. (shrink)

Abstract. Intelligent Tutoring System Builder (ITSB) is an authoring tool designed and developed to aid teachers in constructing intelligent tutoring systems in a multidisciplinary fields. The teacher is needed to create a set of pedagogical fundamentals, which, in line, are inured to automatically build up a broad tutor framework and construct an intelligent tutoring system. In this paper an explanation of the theory and the architecture of the tool is outlined. A presentation of several system components, the requirements of the (...) different components, integration of these components in ITSB tool are shown. Furthermore, implanting of requirements, cognitive principle, and common design fundamentals in the tool to ease the use of teachers. A variety of design matters, an example of building an intelligent tutoring system for teaching Java language using ITSB tool and an evaluation are presented. (shrink)

Abstract: In recent years, the outbreak of various poultry diseases has posed a significant threat to the global poultry industry. Therefore, the accurate and timely detection of chicken diseases is critical to reduce economic losses and prevent the spread of diseases. In this study, we propose a method for classifying chicken diseases using a convolutional neural network (CNN). The proposed method involves preprocessing the chicken images, building and training a CNN model, and evaluating the performance of the model. The dataset (...) used in this study comprises chicken images of three different diseases: Newcastle disease, avian influenza, and infectious bursal disease. The proposed method achieved an overall F1-score of 99.04% in classifying the chicken diseases. The results demonstrate the effectiveness of using CNN in classifying chicken diseases and provide a promising approach for early detection and diagnosis of poultry diseases. (shrink)

Abstract: Ensuring the proactive detection of transaction risks is paramount for financial institutions, particularly in the context of managing credit scores. In this study, we compare different machine learning algorithms to effectively and efficiently. The algorithms used in this study were: MLogisticRegressionCV, ExtraTreeClassifier,LGBMClassifier,AdaBoostClassifier, GradientBoostingClassifier,Perceptron,RandomForestClassifier,KNeighborsClassifier,BaggingClassifier, DecisionTreeClassifier, CalibratedClassifierCV, LabelPropagation, Deep Learning. The dataset was collected from Kaggle depository. It consists of 164 rows and 8 columns. The best classifier with unbalanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%,Recall100.0% and the F1-score (...) 100.0%. However, the best classifier with balanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%, Recall 100.0% and the F1-score 100.0%. (shrink)

Risk Management Strategies and Investment Behaviors are considered important factors in the investing activities of the retail investors. This study seeks to determine the relationship between Risk Management Strategies and Investment Behavior of Generation Z retail investors. The study is a correlational research and purposive sampling was used to select the respondents for this study. Cochran’s formula was utilized to determine the total sample size or total number of respondents. Spearman’s Rank-Order Correlation was employed to assess the significant relationship of (...) Risk Management Strategies and Investment Behaviors. Based on the results, it showed that risk management strategies have a significant relationship with one or more of the investment behaviors. Risk avoidance has a significant relationship with confirmation bias. Risk reduction has a significant relationship with all of the investment behaviors such as overconfidence, loss-aversion, recency bias, and confirmation bias. Risk transfer shows a significant relationship with only loss-aversion and confirmation bias. And lastly, risk acceptance also has a significant relationship with all of the investment behaviors. This study recommends exploring other types of behavioral biases under cognitive bias and emotional bias to determine their correlation with risk management strategies. Also, broadening the sample size, demographic scope, and geographic scope of the study can improve the generalizability of the study and provide a more comprehensive understanding of the relationship between investment behavior and risk management strategies. The researchers also recommend to utilize interviews and focus group discussions to gain an in-depth understanding of the underlying values and attitudes concerning investment behavior. (shrink)

Abstract: Fast food refers to quick, convenient, and ready-to-eat meals that are usually sold at chain restaurants or take-out establishments. Fast food is often criticized for its unhealthy ingredients, such as high levels of salt, sugar, and unhealthy fats, and its contribution to the growing obesity epidemic. Despite this, fast food remains popular due to its affordability, convenience, and widespread availability. Many fast food chains have attempted to respond to these criticisms by offering healthier options, such as salads and grilled (...) chicken sandwiches, and by using more natural and locally sourced ingredients. The aim in this paper to propose a deep learning model for the classification of fast food dishes. The proposed model, Xception, was trained on natural images and was fine-tuned to make up the fast food meals. The researchers collected the Fast Food V2 dataset from Kaggle depository, the dataset, contained 20,000 images. The dataset has ten labels of food images comprised of Baked Potato, Burger, Crispy Chicken, Donut, Fries, Hot Dog, Pizza, Sandwich, Taco, and Taquito. The dataset was split into three sets: training, validation and testing. The accuracy, F1-score, recall, precision on the separate test set showed that classification of fast food was accuracy (95.13%), Precision (95.34%), Recall (95.13%), and F1-Score (95.14%). (shrink)

Abstract: Tomatoes are among the most popular vegetables in the world due to their frequent use in many dishes, which fall into many varieties in common and traditional foods, and due to their rich ingredients such as vitamins and minerals, so they are frequently used on a daily basis, When we focus our attention on this vegetable, we must also focus and take into consideration the diseases that affect this vegetable, a deep learning model that classifies tomato diseases has been (...) proposed. The aim of this paper is to diagnose tomato diseases based on a dataset containing 11000 picture and 11 classes. The model gave the final accuracy test with Accuracy (99.87%), F1-score (99.87%), Recall (99.87%), and Precision (99.88%) in an estimated time 1.36 second, as with these results it proved its effectiveness and good ability in the classification of the testing data. (shrink)

Abstract: Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...) it addresses challenges such as data privacy, technology adoption barriers, and the ethical implications of AI in farming. By integrating AI into agricultural practices, the industry can achieve greater efficiency and sustainability, paving the way for future advancements. (shrink)

Abstract: People all over the world have been drinking tea for thousands of centuries, and for good reason. Many types of teas can help you stay healthy by boosting your immune system, reducing inflammation, and even preventing cancer and heart disease. There is sufficient material to show that regularly consuming tea can improve your health over the long term. A deep learning model that categorizes tea disorders has been completed. When focusing on the tea, we must also focus on and (...) take into account the diseases that harm it. The aim of this paper is to diagnose tea diseases based on a dataset containing 8000 picture and 8 classes .The model gave the final accuracy test with an F1-score of 99.41% in an estimated time 3 second, as with these results it proved its effectiveness and good ability in the classification test. (shrink)

Academic excellence and intelligence are commonly lauded as commendable attributes synonymous with success. However, a disconcerting trend has surfaced within educational institutions, challenging the prevailing narrative of scholastic accomplishment—smart shaming. This research delves into the increasing concern of smart shaming within educational settings, particularly at Immaculate Conception College of Balayan, Inc., questioning the predominant emphasis on academic excellence and intelligence. A qualitative case study design, along with judgmental sampling, was employed to examine fifteen (15) student leaders who had experienced smart (...) shaming on campus. Thematic analysis revealed that sarcastic remarks including "edi wow," "Okay ikaw na matalino," "bidabida," and "sipsip" were a prevalent manifestation of smart shaming, adversely affecting emotional well-being, academic and leadership prowess, mental health, and self-perception. Coping mechanisms, predominantly centered around ignoring and focusing on goals, were identified. The findings underscore the imperative for educators to remain vigilant regarding instances of smart shaming in classrooms, promoting open communication to ensure student well-being. Additionally, guidance counselors play a pivotal role in aiding students in effectively navigating the repercussions of smart shaming. This study advocates for proactive programs and interventions to address and alleviate the deleterious effects of smart shaming on students. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...) as data privacy concerns, integration issues, and the need for skilled personnel. The paper concludes with recommendations for effectively implementing AI solutions to maximize their benefits while navigating potential pitfalls. (shrink)

Socioeconomic status refers to the family's social and economic standing in society. It is measured by combining an individual or group's economic and social position, which is often based on income, education, and occupation. It significantly affects academic performance and even one's health status. The pandemic changed the educational system, causing a huge transition from traditional learning methods to online learning. This shift resulted in confusion, burden, and difficulty among students from different walks of life. This study was conducted to (...) determine the academic stress on online learning among nursing students in relation to their economic status and their ability to access technology. The study utilized a quantitative-correlational method aided by a standard questionnaire. Two hundred thirty-six University of Bohol nursing students enrolled in the second semester of SY 2021–2022 were included in the study by random selection. Data revealed a significant correlation between economic status and the level of stress related to academic expectations and a significant correlation between economic status and access to technology after being subjected to the Spearman rho test of correlation. However, no significant correlation was found between access to technology and the respondents' level of academic stress. (shrink)

Abstract: Artificial Intelligence (AI) is rapidly becoming a cornerstone of modern healthcare, offering unprecedented capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper explores the transformative impact of AI on the healthcare sector, examining how it enhances patient outcomes, improves the efficiency of medical practices, and introduces new ethical and operational challenges. By analyzing current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, this paper highlights the significant advancements AI has brought to the (...) field. However, the integration of AI also raises concerns related to data privacy, algorithmic bias, and the displacement of healthcare professionals. This study provides a comprehensive overview of these developments, offering insights into the future potential of AI in revolutionizing healthcare while addressing the ethical considerations that must accompany its adoption. The findings suggest that while AI holds the promise of transforming healthcare delivery, careful consideration of its implications is essential to ensure equitable and effective implementation. (shrink)

This paper provides an argument for a more socially relevant philosophy of science (SRPOS). Our aims in this paper are to characterize this body of work in philosophy of science, to argue for its importance, and to demonstrate that there are significant opportunities for philosophy of science to engage with and support this type of research. The impetus of this project was a keen sense of missed opportunities for philosophy of science to have a broader social impact. We illustrate various (...) ways in which SRPOS can provide social benefits, as well as benefits to scientific practice and philosophy itself. Also, SRPOS is consistent with some historical and contemporary goals of philosophy of science. We’re calling for an expansion of philosophy of science to include more of this type of work. In order to support this expansion, we characterize philosophy of science as an epistemic community and examine the culture and practices of philosophy of science that can help or hinder research in this area. (shrink)

There is an increase in the use of in-door wireless networking solutions via Wi-Fi and this increase infiltrated and utilized Wi-Fi enable devices, as well as smart mobiles, games consoles, security systems, tablet PCs and smart TVs. Thus the demand on Wi-Fi connections increased rapidly. Rule Based System is an essential method in helping using the human expertise in many challenging fields. In this paper, a Rule Based System was designed and developed for diagnosing the wireless connection problems and attain (...) a precise decision about the cause of the problem. SL5 Object expert system language was used in developing the rule based system. An Evaluation of the rule based system was carried out to test its accuracy and the results were promising. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic support. Additionally, the (...) paper addresses the challenges faced in AI-driven medical imaging, including data quality, model interpretability, and ethical considerations. By examining recent advancements and real-world case studies, this paper provides insights into the current state of AI in medical imaging and its potential future directions. The findings highlight the ongoing evolution of AI technologies and their crucial role in advancing medical diagnostics and treatment strategies. (shrink)

Encultured individuals see the behavioral rules of cultural systems of moral norms as objective. In addition to prescriptive regulation of behavior, moral norms provide templates, scripts, and scenarios regulating the expression of feelings and triggered emotions arising from perceptions of norm violation. These allow regulated defensive responses that may arise as moral idea systems co-opt emotionally associated biological survival instincts.

Ever since Darwin people have worried about the sceptical implications of evolution. If our minds are products of evolution like those of other animals, why suppose that the beliefs they produce are true, rather than merely useful? We consider this problem for beliefs in three different domains: religion, morality, and commonsense and scientific claims about matters of empirical fact. We identify replies to evolutionary scepticism that work in some domains but not in others. One reply is that evolution can be (...) expected to design systems that produce true beliefs in some domain. This reply works for commonsense beliefs and can be extended to scientific beliefs. But it does not work for moral or religious beliefs. An alternative reply which has been used defend moral beliefs is that their truth does not consist in their tracking some external state of affairs. Whether or not it is successful in the case of moral beliefs, this reply is less plausible for religious beliefs. So religious beliefs emerge as particularly vulnerable to evolutionary debunking. (shrink)

E-money systems have revolutionized global business transactions through digital payment methods. This quantitative correlational study aimed to assess the awareness and acceptance of e-money among individuals in Balayan, Batangas. Employing quota and purposive sampling, 100 participants aged 21 to 70 completed a survey questionnaire. Statistical analysis revealed that consumers were aware of e-money but lacked comprehensive knowledge. They acknowledged the convenience of e-money for online shopping and expense tracking. Age significantly influenced acceptance, while gender did not exhibit a similar effect. (...) Significant differences were observed in awareness and acceptance levels. Recommendations for improving acceptance include administrator-led campaigns, business incentives, consumer education, financial institution partnerships, and integration into student curricula. The study underscores the need for targeted strategies to translate e-money knowledge into practical use. Future research should explore adoption trends over time, barriers, and the impact of regulations on e-money utilization. (shrink)

Modern military organizations are paternalistic organizations. They typically recognize a duty of care toward military personnel and are willing to ignore or violate the consent of military personnel in order to uphold that duty of care. In this paper, we consider the case for paternalism in the military and distinguish it from the case for paternalism in medicine. We argue that one can consistently reject paternalism in medicine but uphold paternalism in the military. We consider two well-known arguments for the (...) conclusion that military organizations should not be entitled to use experimental drugs on troops without first obtaining the informed consent of those troops. We argue that both of these are unsuccessful, in the absence of an argument for the rejection of paternalism in the military altogether. The case for military paternalism is widely accepted. However, we consider three ways in which it could be challenged. (shrink)

To improve oneself and grow professionally, career development has been found to be crucial, as it serves as a roadmap for the professional growth of employees. However, a barrier, known as the glass ceiling, hinders the progress of employees, especially those in the LGBTQIA+ community. This study explores the impact of the glass ceiling on the career development of selected LGBTQIA+ individuals, shedding light on the barriers faced by this community in the workplace. The researchers used a qualitative multiple-case study (...) and selected ten (10) LGBTQIA+ participants from large enterprises via the judgmental sampling technique. Through thematic analysis, psychological impact, workplace discomfort, lack of recognition, and career progress challenges emerged as the impacts of the glass ceiling on the participants. Strategies for overcoming glass ceiling barriers, such as resilience, self-reflection, and community support, are identified. Thus, the study found that glass ceilings are really evident in the context of businesses. With this, the proposed advocacy plan in the study suggests interventions like workplace inclusion training, mentorship networks, and seminars on employee rights. Furthermore, it emphasizes the call for ongoing research and advocacy efforts to dismantle barriers and cultivate workplaces that not only embrace diversity but also provide equitable opportunities for career growth. (shrink)

Terraforming is a process of planetary engineering by which the extant environment of a planetary body is transformed into an environment capable of supporting human inhabitants. The question I would like to consider in this paper is whether there is any reason to believe that the terraforming of another planet—for instance, the terraforming of Mars—is morally problematic. Topics related to the human exploration of space are not often discussed in philosophical circles. Nevertheless, there exists a growing body of philosophical literature (...) dedicated to sorting out the moral implications of the use of resources from (and in) space. Most of this literature is produced as environmental philosophy. Questions of .. (shrink)

Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in dvance regarding: on-going construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. In (...) our proposed system we propose a new forecasting method that uses a Convolutional Neural Network monthly rainfall for a selected location. In our proposed system we are going to forecast the rainfall result based on the mean square error, mean absolute error and root mean square error, which we get in train and test of the dataset based deep learning technique. (shrink)

Abstract: Vegetables are an essential component of a healthy diet and play a critical role in promoting overall health and well- being. Vegetables are rich in important vitamins and minerals, including vitamin C, folate, potassium, and iron. They also provide fiber, which helps maintain digestive health and prevent chronic diseases. We are proposing a deep learning model for the classification of vegetables. A dataset was collected from Kaggle depository for Vegetable with 15000 images for 15 different classes. The data was (...) preprocessed, normalized and split into three sets (train, valid, test). The proposed model was trained and validated using the train and valid sets and accuracy of both training and validation was very high. For the evaluation of the proposed model we utilized these metrics: accuracy, F1-score, precision, Recall and time required for testing. We then tested the proposed model using the test set. The result of the testing was accuracy (99.95%), F1-score (99.95%), precision (99.95%), Recall (99.95%) and time required for testing the test set was 1.38 seconds. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into educational technology has revolutionized learning through Intelligent Tutoring Systems (ITS). These systems harness AI to deliver personalized, adaptive instruction that caters to individual student needs, thereby enhancing learning outcomes and engagement. This paper explores the evolution and impact of ITS, highlighting key AI technologies such as machine learning, natural language processing, and adaptive algorithms that underpin their functionality. By examining various case studies and applications, the paper illustrates how ITS have transformed traditional (...) educational practices and identifies the challenges and limitations associated with their implementation, including data privacy concerns and system biases. The discussion also extends to future directions in ITS development, emphasizing emerging trends and potential advancements. Ultimately, this paper aims to provide a comprehensive understanding of how ITS leverage AI to enhance educational experiences and propose pathways for future research in this dynamic field. (shrink)

One critique of the early Daoist texts associated with Laozi and Zhuangzi is that they neglect the human and lack a proper sense of ethical personhood in maintaining the primacy of an impersonal dehumanizing “way.” This article offers a reconsideration of the appropriateness of such negative evaluations by exploring whether and to what extent the ethical sensibility unfolded in the Zhuangzi is aporetic, naturalistic, and/or religious. As an ethos of cultivating life and free and easy wandering by performatively enacting openness (...) and responsiveness to things in an immanent this-worldly context, the Zhuangzi is oriented toward the relational attunement of disposition and practice rather than toward metaphysics or religion in a transcendent sense. It consequently suggests an immanent anarchic ethics without principles while neither forgetting nor reifying the sacred and the mundane in its playful illumination of the biospiritual dynamics of cultivating life. (shrink)

A liberal antinomy of parenting exists: strong liberal intuitions militate in favor of both denying special resources to parenting projects (on grounds of project-neutrality) and granting them (on grounds of respect for personhood). I show that we can reconcile these two claims by rejecting a premise common to both--viz. that liberalism is necessarily committed to extensive procreative liberties--and limiting procreation and subsequent parenting to adults who meet certain psychological and especially financial criteria. I also defend this argument, which provides a (...) Kantian complement to utilitarian arguments for restricting procreation, against a variety of objections. (shrink)