The world of entrepreneurship has historically been linked with taking risks and the potential for significant rewards. However, there persists a notable gender imbalance in the entrepreneurial landscape, wherein women entrepreneurs remain a minority. Women navigating the entrepreneurial path encounter distinct challenges, setting their experiences apart from their male counterparts. In Balayan, Batangas, despite strides towards gender equality, women entrepreneurs continue to face challenges in the entrepreneurial landscape. This qualitative study delves into the experiences of 10 successful female entrepreneurs who (...) met specific criteria. Accordingly, semi-structured interviews are conducted, exploring various aspects of participants' experiences and revealing their motivations, achievements, challenges, and strategies. Thematic analysis reveals the connection between familial, community-driven, and personal motivations that drive these entrepreneurs forward. Despite facing obstacles such as financial constraints and gender biases, they prioritize financial gains and personal growth. With resilience, innovation, and dedication, these women overcome challenges and achieve success, utilizing support networks and online marketing strategies to their advantage. Recommendations include empowering women in entrepreneurship, strengthening support networks, introducing tailored financial literacy programs, and advocating against gender biases. Implement skill development initiatives and provide specialized education in online marketing. Engage in policy advocacy, celebrate success stories, and continuously research challenges and successes. Foster collaborative partnerships between businesses, educational institutions, and communities, and advocate for increased funding opportunities for sustainable growth. This research emphasizes the strength and capabilities of women entrepreneurs in Balayan, Batangas, affirming that "pink doesn't mean weak.". (shrink)

We consider emergence from the perspective of dynamics: states of a system evolving with time. We focus on the role of a decomposition of wholes into parts, and attempt to characterize relationships between levels without reference to whether higher-level properties are “novel” or “unexpected.” We offer a classification of different varieties of emergence, with and without new ontological elements at higher levels. -/- Submitted to a volume on Real Patterns (Tyler Milhouse, ed.), to be published by MIT Press.

Multidimensional concepts are everywhere, and they are important. Examples include moral value, welfare, scientific confirmation, democracy, and biodiversity. How, if at all, can we aggregate the underlying dimensions of a multidimensional concept F to yield verdicts about which things are Fer than which overall? Social choice theory can be used to model and investigate this aggregation problem. Here, we focus on a particularly thorny problem made salient by this social choice-theoretic framework: the underlying dimensions of a given concept might be (...) measurable on different types of scales—e.g., some ordinal and some cardinal. An underappreciated impossibility theorem due to Anna Khmelnitskaya shows that seemingly plausible constraints on aggregation across scale types are inconsistent. This impossibility threatens to render the notion of overall Fness incoherent. We attempt to defuse this threat, arguing that the impossibility depends on an overly restrictive conception of measurement and of how measurement constrains aggregation. Adopting a more flexible—and, we think, more perspicuous—conception of measurement opens an array of possibilities for aggregation across disparate scale types. (shrink)

Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...) and class imbalance, and presents strategies employed to address these issues. Additionally, the paper emphasizes the importance of alternative evaluation metrics, including precision, recall, and F1-score, to assess the model's performance comprehensively. Detailed information regarding the model architecture, data preprocessing, and hyperparameter tuning is provided to enhance the reproducibility of the research. The study also discusses ethical considerations and the implications of false positives and false negatives in smoke detection applications. While achieving 100% accuracy is a notable accomplishment, this paper calls for cautious interpretation and further validation in real-world settings. It concludes by highlighting areas for future research and improvement in smoke detection technology, emphasizing the need for practical deployment and the reduction of false alarms. (shrink)

It is tempting to think that a process of choosing a point at random from the surface of a sphere can be probabilistically symmetric, in the sense that any two regions of the sphere which differ by a rotation are equally likely to include the chosen point. Isaacs, Hájek, and Hawthorne (2022) argue from such symmetry principles and the mathematical paradoxes of measure to the existence of imprecise chances and the rationality of imprecise credences. Williamson (2007) has argued from a (...) related symmetry principle to the failure of probabilistic regularity. We contend that these arguments fail, because they rely on auxiliary assumptions about probability which are inconsistent with symmetry to begin with. We argue, moreover, that symmetry should be rejected in light of this inconsistency, and because it has implausible decision- theoretic implications. -/- The weaker principle of probabilistic invariance says that the probabilistic comparison of any two regions is unchanged by rotations of the sphere. This principle supports a more compelling argument for imprecise probability. We show, however, that invariance is incompatible with mundane judgments about what is probable. Ultimately, we find reason to be suspicious of the application of principles like symmetry and invariance to nonmeasurable regions. (shrink)

Welfarism is the view that individual welfare is the only thing that matters. One important contribution of social choice theory has been to provide a precise formulation and axiomatic characterization of welfarism using Amartya Sen's framework of social welfare functionals. This paper is motivated by the observation that the standard formalization of welfarism is too restrictive, since a welfarist social planner need not be committed to maximizing a preference ordering or any other binary relation over alternatives. We therefore provide a (...) characterization of welfarism in a more general choice-functional setting and show that welfarism, so understood, carries no commitment to rationalizability. This characterization is compatible with welfare values having any structure whatsoever. It also sheds light on different formulations of anonymity, revealing only some of these to be fundamental requirements of impartiality. (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)

Abstract: Artificial Intelligence (AI) is transforming the agricultural sector, enhancing both productivity and sustainability. This paper delves into the impact of AI technologies on agriculture, emphasizing their application in precision farming, predictive analytics, and automation. AI-driven tools facilitate more efficient crop and resource management, leading to higher yields and a reduced environmental footprint. The paper explores key AI technologies, such as machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...) it discusses challenges like data privacy, barriers to technology adoption, and the ethical implications of AI in farming. Integrating AI into agricultural practices holds the promise of greater efficiency and sustainability, paving the way for future innovations. (shrink)

The problem of evil is an ideal topic for experimental philosophy. Suffering--which is at the heart of most prominent formulations of the problem of evil--is a universal human experience and has been the topic of careful reflection for millennia. However, interpretations of suffering and how it bears on the existence of God are tremendously diverse and nuanced. We might immediately find ourselves wondering why (and how!) something so universal might be understood in so many different ways. Why does suffering push (...) some people toward atheism while pushing others toward deeper faith? What cultural, psychological, or sociological differences account for this diversity of responses? And, importantly, what light might this diversity of responses shed on the problem of evil and how it has been formulated by philosophers in recent years? The primary aim of this paper is to highlight how the tools and resources of experimental philosophy might be fruitfully applied to the problem of evil. In the first section, we review some recent work in this area and describe the current state of this emergent body of literature. In the second section, we review the broader and more recent theoretical developments on the problem of evil. Finally, in the final section, we outline some potential areas of future empirical research that we see as especially promising given those developments. (shrink)

We often appeal to the notion of an agent’s commitment to action to characterize, e.g., an agent’s faithfulness to a promise she has given to another, her robust disposition to pursue a goal she values or cares about, and her determination to stick to that goal. In the philosophy of action, that notion is often associated with the idea of an agent’s intention to act. In ethics, it is associated primarily with the idea of an agent’s commitment to, or endorsement (...) of, a certain norm. This essay argues that both these ideas, of intention and of normative endorsement, are central to the –or, at least, an—ordinary notion of an agent’s (psychological) commitment to action. In so doing, the essay also sheds light on important features of intention. -/- Keywords: commitment – intention – normative endorsement – stability across contexts – coordination. (shrink)

I propose and articulate a novel theory of desire, called the Revised Reward Theory. As the name suggests, the theory is based—and expands—on Arpaly and Schroeder’s (2014) Reward Theory of Desire. The initial Reward Theory identifies desires with states of the reward learning system such that for an organism to desire some P is for its reward system to treat P as a reward upon receipt. The Revised Reward Theory identifies desires with a different state of the same system, such (...) that for an organism to desire some P is for its reward system to expect or predict that P will be rewarding (roughly) prior to receipt. The difference amounts to equating desires with what we ultimately find rewarding or satisfying versus those that underlie our motivations to obtain that which we take ourselves to desire. I argue that the structure of the reward system is incompatible with the original Reward Theory but compatible with the Revised Reward Theory. I demonstrate that this difference has important philosophical implications. I focus on moral responsibility and demonstrate Arpaly and Schroeder’s argument, that addiction can mitigate moral responsibility, turns on this precise difference. Arpaly, Schroeder, and I all ascribe to a meta-theory called ‘natural kindism’ which identifies mental kinds with neurocognitive kinds. This discussion, in addition to defending a theory of desire, is intended to act as a proof of concept for natural kindism as offering a powerful framework for relating empirical results to philosophical issues. (shrink)

In this article, I apply Australian logician and ecofeminist philosopher Val Plumwood’s Feminism and the Mastery of Nature, specifically its alternative logic of “the dance of interaction,” to a controversial community-engagement program in my home state of Alabama. At Rural Studio, Auburn University students design free housing and public works for one of the poorest regions in the United States, known as the “Black Belt.” Through the lens of Plumwood’s ecofeminist dancing logic, the marginalized source of Rural Studio’s survival is (...) revealed to be the resilience of the disempowered majority-Black community. Inspired thereby, I sketch an ecofeminist choreography with three “dancing” concepts (namely Plumwood’s “the master model,” Vandana Shiva’s “nature’s logic,” and Ariel Salleh’s “holding”), acknowledging the resilience of the disempowered as a necessary step toward an ethically-sustainable aesthetics. (shrink)

In Wollstonecraft’s early writings, she articulates the foundational theological and philosophical principles that would underpin her work throughout her career. One difference between her early and later work lies in the way that the values to which she refers are combined. Whereas Wollstonecraft at first appeals to the separate ideals of independence, equality, and virtue, from the 1790s onwards she integrates these into a characteristic republican framework that was in common use amongst dissenting theorists at the time. The set of (...) values on which Wollstonecraft draws, and the version of the republican framework that she develops, closely resemble those of Richard Price with whose work she was familiar. Examining the structural similarities between their respective models, I argue, gives us an insight into the systematic manner of aspects of Wollstonecraft’s own thought. It also allows us to see how Wollstonecraft goes beyond the republicanism of Price and others as she develops her own feminist solutions to the problems of structural domination. (shrink)

Wil Waluchow has advanced perhaps the most convincing argument in favour of what he eloquently termed ‘inclusive legal positivism’, the view that a given legal system could make legal validity depend on moral truths. This chapter refocuses the case for the opposing view of exclusive positivism on the metaphysical tension in seeing law as an institutional social fact and yet for its validity to depend on something that is not a social fact, developing an understanding of official mistake as a (...) way of highlighting that tension. If legal validity itself is understood as a socially constructed status (something with which any legal positivist would agree), key officials (as a group) cannot be wrong about the criteria sufficient for institutional membership having been met. While the officials cannot be wrong about the sufficient conditions, they can be wrong about the necessary (gatekeeping) ones and the moral criteria that inclusive positivists say could be included among the criteria of validity are invariably understood to be necessary conditions. That might look like a point in favour of inclusive positivism, but it is only the sufficient conditions that are constitutive of legal validity. Two facets of legal decisions are then marshalled to buttress the case for exclusive positivism: that almost every legal decision is also a determination of validity, and that all such decisions are systemically treated as correct until reviewed by a court of superior jurisdiction (which is itself a sufficient condition for membership). The implication of this is that moral criteria, understood as gatekeepers for legal validity, cannot be constitutive of legal validity. (shrink)

There are two aims of this paper: (1) to explore the affective dimensions of moral shock and how it relates to normative marginalization of those furthest from dominant society, but also, more specifically; (2) to articulate the trans experience of constantly being under moral attack because the dominant “world” normatively defines you out of existence. Toward these ends, I build on Katie Stockdale’s recent work on moral shock, arguing that moral shock needs to be contextualized to “worlds” of sense to (...) understand how marginalized people affectively experience shocking events. My focus is the trans experience of moral shock due to the way trans people are positioned outside of dominant society, creating the conditions to experience cyclical, chronic shock. These affective conditions point to a collective responsibility to ease the affective stress that the most marginalized experience. (shrink)

This article proposes an alternative approach to social epistemology – a comprehensive approach. It argues that the dominant approaches to social epistemology, which it identifies as communitarian and veritistic, are inadequate. It observes that the nature of the emphasis that the communitarian approach places on the epistemic community foster mindless tolerance in epistemology, which makes the pursuit of the cognitive goal of truth difficult to attain. It also observes that the veritistic approach that seeks to refocus social epistemology on the (...) pursuit of the cognitive goal of obtaining truth does this at the expense of the affective goals of social epistemology. To overcome the inadequacies of the communitarian and the veritistic approaches and to ensure that social epistemology effectively pursues its cognitive and affective goals, this article offers the comprehensive approach. This approach absorbs the virtues of the communitarian and the veritistic approaches while avoiding their errors. Hence, it thrives on a view of truth that posits an objective and a subjective dimension of truth. The objective dimension ensures that the community only fosters and never impedes social epistemological projects such that social epistemology continues to pursue the cognitive goal of truth. The subjective dimension guarantees that the concern for truth does not lead to the neglect or abandonment of the pursuit of the affective goals of social epistemology. The rationale behind this approach is that for social epistemological projects and practices to remain truly epistemological and social, they must always take into consideration the cognitive and affective features of knowledge and knowers. (shrink)

In his influential history of the post-1967 history of the Palestinian Occupation, radical Israeli architect Eyal Weizman show how even well-meaning decolonial efforts from privileged allies can be coopted by the colonizers, in what I call “de-decolonizing.” Here I focus on one of his examples, namely IDF (Israeli Defense Force) military professors repurposing the anarcho-communist philosophy of French postmodernist Gilles Deleuze into a weapon against Palestinian guerrilla resistance. My conclusion is that attempted decolonizing via (inevitably complicit) privileged allies must include (...) what Weizman calls “co-resistance,” and I call “reconstruction.” In other words, when a Deleuzian “line of flight” to “escape” is impossible, as arguably for Palestinians today, then one should follow the heroic example of the Bedouins, who (as Weizman acknowledges) are the only Arabs who have never stopped rebuilding their Palestine. (shrink)

Theoretical frameworks concerning cell fate typically center on proximate causes to explain how cells know what type they are meant to become. While major advances in cell fate theory have been achieved by these mechanism-focused frameworks, there are some aspects of cell decision-making that require an evolutionary interpretation. While mechanistic biologists sometimes turn to evolutionary theory to gain insights about cell fate (cancer is a good example), it is not entirely clear in cell fate theory what insights evolutionary theory can (...) add, and why in some cases it is required for understanding cell fate. In this perspective we draw on our work on cellular mortality to illustrate how evolutionary theory provides an explanation for death being selected as one of the potential cell fates. Using our hypothesis for why some microbes in a community choose death as their fate, we suggest that some insights in cell fate theory are inaccessible to a theoretical framework that focuses solely on proximate causes. (shrink)

The ever-evolving landscape of cyber threats necessitates robust and adaptable intrusion detection systems (IDS) capable of identifying both known and emerging attacks. Traditional IDS models often struggle with detecting novel threats, leading to significant security vulnerabilities. This paper proposes an optimized intrusion detection model using Support Vector Machine (SVM) algorithms tailored to detect known and innovative cyberattacks with high accuracy and efficiency. The model integrates feature selection and dimensionality reduction techniques to enhance detection performance while reducing computational overhead. By leveraging (...) advanced optimization techniques such as Grid Search and Particle Swarm Optimization (PSO), the proposed SVM-based IDS achieves superior classification results. (shrink)

The purpose of this paper is to show that, if Kant’s universalization formulations of the Categorical Imperative are our only standards for judging right from wrong and permissible from impermissible, then we have no obligations. I shall do this by examining five different views of how obligations can be derived from the universalization formulations and arguing that each one fails. I shall argue that the first view rests on a misunderstanding of the universalization formulations; the second on a misunderstanding of (...) the concept of an obligation; the third on a misunderstanding of the concept of a maxim; the fourth on a misunderstanding of the limits of action description; and the fifth on a misunderstanding of the universalization formulations again. (shrink)

Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies that provide (...) personalized feedback and interventions based on detected emotional states. Our approach surpasses traditional machine learning methods, demonstrating superior performance in real-time applications. (shrink)

In this paper I show that one of the most fruitful ways of employing paradoxes has been as a philosophical method that forces us to reconsider basic assumptions. After a brief discussion of recent understandings of the notion of paradoxes, I show that Zeno of Elea was the inventor of paradoxes in this sense, against the background of Heraclitus’ and Parmenides’ way of argumentation: in contrast to Heraclitus, Zeno’s paradoxes do not ask us to embrace a paradoxical reality; and in (...) contrast to Parmenides, Zeno shows common assumptions to be internally problematic, not just in light of Eleatic positions. (shrink)

The research outlines a workflow that incorporates data collection, preprocessing, model training, and optimization. Real-world datasets from retail and e-commerce sectors are utilized to validate the proposed methodology, showcasing substantial improvements in model performance. The results indicate that optimized models not only provide better predictions of consumer behaviour but also enhance customer segmentation and targeting strategies. The study concludes with recommendations for future research, including the exploration of hybrid optimization techniques and the application of these methods in real-time analytics.

Abstract: As artificial intelligence (AI) technologies become more integrated across various sectors, ethical considerations in their development and application have gained critical importance. This paper delves into the complex ethical landscape of AI, addressing significant challenges such as bias, transparency, privacy, and accountability. It explores how these issues manifest in AI systems and their societal impact, while also evaluating current strategies aimed at mitigating these ethical concerns, including regulatory frameworks, ethical guidelines, and best practices in AI design. Through a comprehensive (...) analysis of these challenges and proposed solutions, this paper seeks to contribute to the ongoing discourse on responsible AI development, emphasizing the need for a balance between technological advancement and ethical integrity. (shrink)

In this paper I describe a novel application of contemplative techniques to software engineering with the goal of augmenting the intellectual capabilities of knowledge workers within the field in four areas: flexibility, attention, creativity, and trust. The augmentation of software engineers’ intellectual capabilities is proposed as a third complement to the traditional focus of methodologies on the process and environmental factors of the software development endeavor. I argue that these capabilities have been shown to be open to improvement through the (...) practices traditionally used in spiritual traditions, but now used increasingly in other fields of knowledge work, such as in the medical profession and the education field. Historically, the intellectual capabilities of software engineers have been treated as a given within any particular software development effort. This is argued to be an aspect ripe for inclusion within software development methodologies. (shrink)

In the Summa Theologiae, I, q. 5, art. 4, Thomas argues that the good has the ratio of the final cause.1 This thesis is problematic because there seems to be a difference between the definitions and uses of “good” and “final cause.” If Thomas is arguing that the good and the final cause are in no way distinct, then why might we plausibly describe something as good even if it has no causal role? If not, then what does it mean (...) for the ratio of goodness to be the same as that of final causality? Later Thomists disagree over the precise relationship between goodness and final causality, and their disagreement is reflected in their different interpretations of the argument and conclusion of this text. Few hold that Thomas merely means to say that goodness is the fundament of being an end, or that being an end is something like a proper passion of goodness. But they disagree over what the additional connection between the two might be. (shrink)

Inflammation is said to be a healthy component of the body's immune system's reaction. Inflammation is characterised by four key symptoms: pain, redness, heat or warmth and swelling. As secondary metabolites, plants may produce a wide range of phytochemical compounds, which possess anti-inflammatory characteristics. Herbal remedies are important therapies for a wide range of ailments all over the world. There are around 7,500 species of medicinal plants, including representatives from over 17,000 flowering plant species. Even though synthetic chemistry has developed (...) its expectations, the use of natural ingredients in the manufacture of drugs used in contemporary medicine is unparalleled. By interfering with the biology of inflammation, anti-inflammatory medications may assist to minimising tissue damage and increase patient comfort. Because of the bulky figure of species reachable for study, the effective development of novel naturally taking place anti-inflammatory drugs is mostly dependent on a multidisciplinary approach to discovering new chemicals. Despite the statistic that many review papers have been produced in this field, the conventional of them simply examined the issue from an area perspective. Several non-steroidal anti-inflammatory drugs have been shown to reduce inflammation and pain by decreasing the isoform of the cyclooxygenase enzyme's digestion of arachidonic acid, hence lowering prostaglandin production. Non-steroidal anti-inflammatory drugs have a host of harmful effects. There are, however, medicinal herbs with anti-inflammatory pharmacological properties that have few or no negative effects. (shrink)

Moral duties are regularly attributed to groups. Does this make conceptual sense or is this merely political rhetoric? And what are the implications for these individuals within groups? Collins outlines a Tripartite Model of group duties that can target political demands at the right entities, in the right way and for the right reasons.

Postpartum depression is a major maternal health problem after childbirth. It can start at any time within the first year after delivery and continue for several years. It is characterized by an inability to experience pleasure, anxiety symptoms, panic attacks, spontaneous crying and depressed mood. Some women with postpartum depression even have thoughts of harming their child and self-harm. This study aims to find out the status of postpartum depression and the associated factors among postnatal mothers at the first, fourth (...) and sixth month. This study is a prospective descriptive study, carried out in three major health facilities in Misurata. This study consists of a three-part questionnaire. Part 1 covers the demographic characteristics of the participants, while Part 2 explores the associated risk factors according to the variables used. Part 3 consists of the psychological evaluation of the participants. A hundred mothers (ages between 15 and 43 years) were enrolled in this study. The findings revealed that the prevalence of depression is 60.0% and 22.0% are suffering from borderline depression. Development of depression was strongly correlated with sleeping disturbances, the state of the neonate after birth, excess consumption of stimulants, less weight acceptance by mothers during pregnancy and infant illness. There was a weak relation between depression and delivery state, maternal admission to the hospital during the current pregnancy, and infant gender dissatisfaction. No correlation was found with the development of depression regarding miscarriage, maternal medical problems after delivery, previous child sex, maternal age, education, parity or neonate weight. Thus, this study shows that the chance of having a miscarriage and an unhealthy neonate increases with advanced maternal age. It also shows that caesarean section is associated with bad neonatal outcomes, more weight gain and having gestational diabetes or preeclampsia during pregnancy. Maternal sleeping problems are more pronounced in the first month, attributed to the baby's care, compared with the fourth and sixth months. The study indicates that depression is a common state of psychiatric disorders among Libyan women and should have appropriate attention by physicians and gynecologists. (shrink)

Postpartum depression is a major maternal health problem after childbirth. It can start at any time within the first year after delivery and continue for several years. It is characterized by an inability to experience pleasure, anxiety symptoms, panic attacks, spontaneous crying and depressed mood. Some women with postpartum depression even have thoughts of harming their child and self-harm. This study aims to find out the status of postpartum depression and the associated factors among postnatal mothers at the first, fourth (...) and sixth month. This study is a prospective descriptive study, carried out in three major health facilities in Misurata. This study consists of a three-part questionnaire. Part 1 covers the demographic characteristics of the participants, while Part 2 explores the associated risk factors according to the variables used. Part 3 consists of the psychological evaluation of the participants. A hundred mothers (ages between 15 and 43 years) were enrolled in this study. The findings revealed that the prevalence of depression is 60.0% and 22.0% are suffering from borderline depression. Development of depression was strongly correlated with sleeping disturbances, the state of the neonate after birth, excess consumption of stimulants, less weight acceptance by mothers during pregnancy and infant illness. There was a weak relation between depression and delivery state, maternal admission to the hospital during the current pregnancy, and infant gender dissatisfaction. No correlation was found with the development of depression regarding miscarriage, maternal medical problems after delivery, previous child sex, maternal age, education, parity or neonate weight. Thus, this study shows that the chance of having a miscarriage and an unhealthy neonate increases with advanced maternal age. It also shows that caesarean section is associated with bad neonatal outcomes, more weight gain and having gestational diabetes or preeclampsia during pregnancy. Maternal sleeping problems are more pronounced in the first month, attributed to the baby's care, compared with the fourth and sixth months. The study indicates that depression is a common state of psychiatric disorders among Libyan women and should have appropriate attention by physicians and gynecologists. (shrink)

Vitamin D deficiency and its effect have attracted considerable research interest due to its relation to glucose homeostasis, insulin secretion, sensitivity and synthesis. This study aimed to evaluate vitamin D levels in patients with type II diabetes mellitus aged between 35-65 years and investigate their relations with glycemic control and obesity. The study included 74 Libyan patients with a known history of type II diabetes mellitus (33 males and 41 females). Serum glucose, glycosylated hemoglobin (HbA1c) and vitamin D levels were (...) biochemically estimated in these patients. Further, body mass index (BMI) was calculated for all diabetic patients (weight in kilogram per height in meter square). The mean level of plasma glucose level was 150.58±63.82 mg/dl (mean±SD). The mean of HbA1c level was 7.90±8.48% (mean±SD). The mean level of vitamin D was 22.75±14.97 ng/ml. The mean of BMI was 26.55±4.10 Kg per m2. The findings showed that 58.10% of the cases had vitamin D deficiency (Out of which 24.24% were males and 85.36% were females). This study showed significant differences in glucose, HbA1c, vitamin D and BMI between male and female patients. Moreover, elderly ages for both sexes had adverse effects on vitamin D status. Vitamin D levels have negatively been correlated with levels of glucose, HbA1c and BMI. It is concluded that vitamin D deficiency has an adverse effect on glucose homeostasis in patients with type II diabetes mellitus and this can be a contributing risk factor in complications of type II diabetes mellitus development in Libyan patients. (shrink)

Abstract: The rapid advancement of artificial intelligence (AI) has catalyzed significant developments in autonomous systems, which are increasingly shaping diverse sectors including transportation, robotics, and industrial automation. This paper explores the evolution of AI technologies that underpin these autonomous systems, focusing on their capabilities, applications, and the challenges they present. Key areas of discussion include the technological innovations driving autonomy, such as machine learning algorithms and sensor integration, and the practical implementations observed in autonomous vehicles, drones, and robotic systems. Additionally, (...) the paper addresses critical challenges including safety, ethical concerns, and regulatory issues that influence the deployment and acceptance of autonomous technologies. By examining current trends and future prospects, this research aims to provide a comprehensive overview of how AI is transforming the landscape of autonomous systems and to identify key areas for future research and development. (shrink)

The EdTech revolution in India has emerged as a transformative force, particularly during and after the COVID-19 pandemic, when traditional education systems faced unprecedented disruptions. While digital technologies have unlocked new opportunities for teaching and learning, they have also exposed systemic inequities and deepened the existing digital divide. This paper examines how EdTech is reshaping India's education landscape by addressing these challenges, with a focus on both the opportunities it presents and the barriers it creates. The shift to digital learning (...) platforms has empowered students with access to a broader array of learning resources, interactive content, and personalized learning paths. However, millions of students, particularly those from rural areas or lower-income families, struggle to access these resources due to a lack of digital infrastructure, reliable internet connectivity, and affordability of devices. Furthermore, the role of teachers has evolved, requiring new pedagogical approaches and technical skills to effectively harness these digital tools. (shrink)

Public discourse is increasingly characterized by a climate of intolerance, a culture of exclusion (cancel culture) and thinking in categories of political correctness. (German) language is systematically manipulated by public broadcasting in line with a gender political agenda. A more and more uncritical and ideologically coloured trend journalism is on the rise there. The Freedom and quality of science are also methodically undermined due to nonproven and populist claims. -/- Der Öffentliche Diskurs ist zunehmend geprägt von einem Klima der Intoleranz, (...) einer Kultur der Ausgrenzung (cancel culture) und einem Denken in Kategorien der political correctness. Die (deutsche) Sprache wird im Sinne einer genderpolitischen Agenda im Öffentlichen Rundfunk systematisch manipuliert. Ein zunehmend unkritischer und ideologisch gefärbter Tendenzjournalismus gewinnt dort an Terrain. Auch die Freiheit und die Qualität der Wissenschaft werden aufgrund unhaltbarer und populistischer Behauptungen methodisch untergraben. -/- . (shrink)

Results indicate substantial improvements in efficiency, accuracy, and personalized care, but also highlight the challenges of data privacy, ethical considerations, and system scalability. By providing a structured analysis, this research contributes insights into optimizing generative AI deployments for both banking and healthcare, ensuring a balance between innovation and risk management. The study concludes with recommendations for future research directions, including advanced model training, ethical guidelines, and enhanced privacy measures. These insights aim to inform practitioners on the benefits of generative AI, (...) ensuring sustainable integration into banking and healthcare ecosystems. (shrink)

Upshot: In our target article we claimed that, at least since Weber and Varela, enactivism has incorporated a theoretical commitment to one important aspect of Jonas’s philosophical biology, namely its anthropomorphism, which is at odds with the methodological commitments of modern science. In this general reply we want to clarify what we mean by anthropomorphism, and explain why we think it is incompatible with science. We do this by spelling out what we call the “Jonasian inference,” i.e., the idea that (...) we are entitled, based on our first-person experience of teleology, to take the appearance of teleology in other living beings at face value. (shrink)

The proposed model in this paper employs different integrated detectors, such as heat, smoke, and flame. The signals from those detectors go through the system algorithm to check the fire's potentiality and then broadcast the predicted result to various parties using GSM modem associated with the GSM network system. The system uses various sensors to detect fire, smoke, and gas, then transmits the message using GSM module. After the message, send by the module the help arrives in 15 minutes. The (...) system is associated with water pump and a sprinkler. The Water system is associated with a water tank and a sprinkler. The water tank uses a Ultrasonic sensor to monitor the level of water level in the tank for refilling the water tank. Once fire is detected, it automatically sends the emergency message and sprinkles the water. (shrink)

The EdTech revolution in India has emerged as a transformative force, particularly during and after the COVID-19 pandemic, when traditional education systems faced unprecedented disruptions. While digital technologies have unlocked new opportunities for teaching and learning, they have also exposed systemic inequities and deepened the existing digital divide. This paper examines how EdTech is reshaping India's education landscape by addressing these challenges, with a focus on both the opportunities it presents and the barriers it creates.

Optimization algorithms such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) are employed to determine the optimal aggregation and transmission schedules, taking into account factors such as network topology, node energy levels, and data urgency. The proposed approach is validated through extensive simulations, demonstrating significant improvements in energy consumption, packet delivery ratio, and overall network performance. The results suggest that the optimized aggregated packet transmission method can effectively extend the lifespan of duty-cycled WSNs while ensuring reliable data communication. Future (...) work will explore the integration of machine learning techniques for adaptive scheduling and the application of the proposed method to heterogeneous WSNs. (shrink)

This paper explores the application of AI-driven HR analytics in shaping workforce agility, focusing on how real-time data collection, analysis, and modeling foster an adaptable workforce. It highlights the role of predictive analytics in forecasting workforce needs, identifying skill gaps, and optimizing talent deployment. Additionally, the paper discusses how AI enhances strategic decision-making by providing precise metrics and insights into employee behavior, productivity, and satisfaction. The integration of AI into HR systems ultimately shifts HR from a traditionally reactive to a (...) highly proactive, data-driven function. (shrink)

This paper gives a radical answer to why there is something rather than nothing based on the Calculus of Qualia and its non-referential terms. The answer turns out to be: because what exists exists necessarily because of its nature. To sum up and oversimplify the extensive argument in two sentences, skipping many steps: 1. By the question “why is there something rather than nothing” we actually mean to be asking “why is there something rather than the weakest assumption?” 2. The (...) non-referential term █ (which does not even refer to itself) in the Calculus of Qualia possibly exists, and, as it has no counterfactuals, that implies its necessary actuality. The upshot is that the existence of the non-referential term █ is a weaker assumption (i.e. assumes less) than the assumption that there could have been nothing. The extensive argument in the paper gives the first compelling secular answer to the ultimate question. (shrink)

Applications and devices of artificial intelligence are increasingly common in the healthcare field. Robots fulfilling some caregiving functions are not a distant future. In this scenario, we must ask ourselves if it is possible for machines to care to the extent of completely replacing human care and if such replacement, if possible, is desirable. In this paper, I argue that caregiving requires know-how permeated by affectivity that is far from being achieved by currently available machines. I also maintain that the (...) complete substitution of machine caregiving for human caregiving is not desirable because caregiving requires genuine human connection. (shrink)

This paper provides an overview of Group Duties: Their Existence and Their Implications for Individuals.

Ascorbic acid (vitamin C) is a water-soluble vitamin; it is present in the highest concentration in the brain. Ascorbic acid in high doses acts as a potential treatment for various neuropathological and psychiatric conditions. Flumazenil is a benzodiazepine antagonist; it competitively inhibits the activity of benzodiazepine and non-benzodiazepine substances that interact with benzodiazepine receptors site on the GABA/benzodiazepine receptor complex. This study aims to investigate the effect of flumazenil on the anxiolytic action of ascorbic acid using an elevated plus maze (...) model of anxiety in rats. Male Albino Wistar rats weighing between 250 and 320 grams were used. Rats were divided into four equal groups of seven rats each and treated as follows: Group I, the control group received a single dose of 1.0% tween 80; Group II treated with a single dose of 125 mg/kg ascorbic acid; Group III was injected by a single dose of 1.0 mg/kg flumazenil; Group IV received a combination treatment of 125 mg/kg ascorbic acid and 1.0 mg/kg flumazenil. Behavioural measurements using a plus maze were scored 30 min after the administration. The parameters scored are the time spent on the open and closed arms, the lines and number of entries into open and closed arms, and the anxiety measure. Ascorbic acid decreased anxiety measure and increased the total lines and total number of entries; this effect was abolished by the administration of flumazenil with ascorbic acid. Thus, ascorbic acid produces an anxiolytic-like effect in rats; this effect was abolished by flumazenil administration with ascorbic acid. This may indicate that the GABA/benzodiazepine receptor complex has to be stimulated to produce the anxiolytic effect. (shrink)

The core objective of this project is to recognize and reconstruct distorted facial images, particularly in the context of accidents. This involves using deep learning techniques to analyze the features of a distorted face and regenerate it into a recognizable form. Deep learning models are wellsuited for this task due to their ability to learn complex patterns and representations from data the input data consists of distorted facial images, typically obtained from MRI scans of accident victims. These images may contain (...) various types of distortions such as swelling, bruising, or other injuries that affect facial appearance. (shrink)

In July 2020, more than 1000 companies that advertise on social media platforms withdrew their business, citing failures of the platforms (especially Facebook) to address the proliferation of harmful content. The #StopHateForProfit movement invites reflection on an understudied topic: the ethics of boycotting by corporations. Under what conditions is corporate boycotting permissible, required, supererogatory, or forbidden? Although value-driven consumerism has generated significant recent discussion in applied ethics, that discussion has focused almost exclusively on the consumption choices of individuals. As this (...) article underscores, value-driven consumerism by business corporations complicates these issues and invites further examination. We propose principles for the ethics of boycotting by corporations, indicate how these principles relate to different CSR paradigms, and show how these insights can help assess recent instances of corporate boycotting. (shrink)

Digital phenotyping will potentially enable earlier detection and prediction of mental illness by monitoring human interaction with and through digital devices. Notwithstanding its promises, it is certain that a person’s digital phenotype will at times be at odds with their first-person testimony of their psychological states. In this paper, we argue that there are features of digital phenotyping in the context of psychiatry which have the potential to exacerbate the tendency to dismiss patients’ testimony and treatment preferences, which can be (...) instances of epistemic injustice. We first explain what epistemic injustice is, and why it is argued to be an extensive problem in health and disability settings. We then explain why epistemic injustice is more likely to apply with even greater force in psychiatric contexts, and especially where digital phenotyping may be involved. Finally, we offer some tentative suggestions of how epistemic injustice can be minimised in digital psychiatry. (shrink)

. The accuracy levels of VGG19 and 3D CNN are compared using the performance metrics. This comparison helps in identifying which model performs better in the task of facial reconstruction from distorted images. Visualizing the results in the form of a graph provides a clear and concise way to understand the comparative performance of the algorithms. The ultimate goal of this project is to develop a system that can accurately reconstruct distorted faces, which can be invaluable in identifying accident victims (...) or assisting in medical treatments. By providing a reliable method for facial reconstruction, this technology can potentially save lives and improve outcomes for individuals involved in accidents. (shrink)

Pharmacoeconomics (PE) is a relatively newly developed and fast-changing discipline [1]. PE plays a crucial role in healthcare decision-making by evaluating the costs and outcomes of different treatment options. In Libya, however, the implementation of PE evaluations faces various challenges that hinder its effective integration into healthcare systems. This communication analyses the current needs and prospects of PE by examining the challenges in its implementation, the benefits of integrating it into healthcare decision-making, and strategies to enhance its utilization in the (...) country's healthcare landscape. By exploring these different aspects, it is possible to gain a comprehensive understanding of Libya's status and potential advancements in PE. In Libya, the earliest records related to PE trace back to the late 19th century, specifically around 1835 during the Turkish colonization. During that time, various documents documented details such as drug prices, direct costs associated with specific diseases, expenditures on essential pharmaceuticals, and annual inventories of health and pharmaceutical institutions [2]. Over the past 80 years since modern Libya’s establishment after the colonial era, Libyan authorities have consistently published annual statistical reports. These reports cover expenditures on medicines, pharmaceuticals, and therapeutic materials, as well as the stock levels in healthcare facilities [3]. However, despite this data, there remains a significant lack of literature on PE, with a few exceptions that do not meet the standards expected of PE studies. (shrink)