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)

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

This study employs a neural network to analyze the connection between smoking, drinking, and various health-related factors using a dataset of 5148 samples. Achieving an impressive 99.94% accuracy and an average training error of 0.0016, the model identifies influential factors such as serum aminotransferases, serum creatinine, sex, weight, and triglyceride levels. These findings enhance our understanding of lifestyle choices and their impact on health. This research underscores the potential of machine learning in studying complex health phenomena.

In the early part of the paper, I attempt to explain a dispute between two parties who endorse the compositionality of language but disagree about its implications: Paul Horwich, and Jerry Fodor and Ernest Lepore. In the remainder of the paper, I challenge the thesis on which they are agreed, that compositionality can be taken for granted. I suggest that it is not clear what compositionality involves nor whether it obtains. I consider some kinds of apparent counterexamples, and compositionalist responses (...) to them in terms of covert indexicality and unspecific meanings. I argue that the last option is the best for most of the cases I consider. I conclude by stressing, as against Horwich and Fodor and Lepore, that the appropriate question concerns the extent to which compositionality obtains in a natural language, rather than whether it obtains or not, so that the answer is essentially messy, requiring detailed consideration of a wide range of examples. (shrink)

Background: Tuberculosis is among the major causes of illness and death worldwide especially in Asia. Smoking is associated with recurrent tuberculosis and its related mortality. Also, it could affect clinical manifestations, bacteriological conversion and outcome of treatment. This study aimed to evaluate the pattern of tobacco smoking, history of previous quit attempts and attitude towards quitting in tuberculosis patients. Materials and Methods: It was a cross-sectional study done amongst tuberculosis patients presented to DOTS corner of Rajshahi Medical College (...) Hospital. 315 patients entered the study as "First Come First Serve". Selfreported questionnaires were designed according to the standard questionnaires of smoking pattern. Results: Sixty one percent (61%) patients (n=192) were smoker before the diagnosis of tuberculosis. 51.1% were current smokers at the time of interview and were continuing smoking after the diagnosis of tuberculosis. Only 10.2% discontinued smoking after diagnosis. 68.2% smokes less than 10 cigarettes per day. 53.1% was between 31-50 age group. 21-30 is the commonest age group (62%) to start smoking is and 66.1% smoked less than 10 years before diagnosis. To reduce stress was the most common cause to continue smoking (48.9%). 71.9% smokers showed keen interest to stop smoking. Conclusion: Considering the prevalence of smoking in tuberculosis patients, evaluation of tobacco smoking status in such patients and motivating them to quit smoking could be considered as important steps in their treatment process. (shrink)

Considerations of objective-value freedom and status freedom do impose constraints on policies that restrict access to cigarettes. As to the objective-value freedom, something of value is lost when anti-alcohol policies lead to pub closures interfering with valued life styles, and a similar, though weaker, argument can be made for cigarettes. As to status freedom, non-arbitrariness requires consultation with vulnerable populations to learn what might aid them with smoking cessation.

Advances in immunotherapy pave the way for vaccines that target not only infections, but also unhealthy behaviors such as smoking. A nicotine vaccine that eliminates the pleasure associated with smoking could potentially be used to prevent children from adopting this addictive and dangerous behavior. This paper offers an ethical analysis of such vaccines. We argue that it would be permissible for parents to give their child a nicotine vaccine if the following conditions are met: (1) the vaccine is (...) expected to result in a net benefit to each individual vaccinated, (2) the expected harms from the side effects of the vaccine are lower than the non-voluntary harms of smoking, and (3) there are no less manipulative methods available that are as effective at preventing smoking initiation. Finally, we show how the framework developed here could be used to analyze the ethics of other chemical interventions designed to modify children’s behavior. (shrink)

Research on the folk psychology of free will suggests that people believe free will is incompatible with determinism and that human decision-making cannot be exhaustively characterized by physical processes. Some suggest that certain elements of Western cultural history, especially Christianity, have helped to entrench these beliefs in the folk conceptual economy. Thus, on the basis of this explanation, one should expect to find three things: (1) a significant correlation between belief in dualism and belief in free will, (2) that people (...) with predominantly incompatibilist commitments are likely to exhibit stronger dualist beliefs than people with predominantly compatibilist commitments, and (3) people who self-identify as Christians are more likely to be dualists and incompatibilists than people who do not self-identify as Christians. We present the results of two studies (n = 378) that challenge two of these expectations. While we do find a significant correlation between belief in dualism and belief in free will, we found no significant difference in dualist tendencies between compatibilists and incompatibilists. Moreover, we found that self-identifying as Christian did not significantly predict preference for a particular metaphysical conception of free will. This calls into question assumptions about the relationship between beliefs about free will, dualism, and Christianity. (shrink)

This study presents a neural network-based model for predicting smoke potential in a specific area using a Kaggle-derived dataset with 15 environmental features and 62,631 samples. Our five-layer neural network achieved an accuracy of 89.14% and an average error of 0.000715, demonstrating its effectiveness. Key influential features, including temperature, humidity, crude ethanol, pressure, NC1.0, NC2.5, SCNT, and PM2.5, were identified, providing insights into smoke occurrence. This research aids in proactive smoke mitigation and public health protection. The model's accuracy and feature (...) analysis empower decision-makers, with potential applications in real-time smoke event monitoring and preparedness strategies. This work contributes to the field of air quality forecasting and environmental stewardship, offering a data-driven approach to address smoke-related challenges and enhance community well-being. (shrink)

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

In the boiling atmosphere of the Vietnamese stock market, it is time to mention a few misconceptions from Vietnamese investors. (Vietnam Investment Review, 27-6-2007).

Perioperative staff are frequently exposed to surgical smoke or plume created by using heat-generating devices like diathermy and lasers. This is a concern due to mounting evidence that this exposure can be harmful with no safe level of exposure yet identified. First, I briefly summarise the problem posed by surgical smoke exposure and highlight that many healthcare organisations are not sufficiently satisfying their legal and ethical responsibilities to protect their staff from potential harm. Second, I explore the ethical case for (...) compulsory smoke evacuation systems using the principlist framework and its four ethical principles – autonomy, beneficence, nonmaleficence, and justice. I then consider some objections and argue that surgical smoke evacuation systems – when indicated – should be made compulsory. (shrink)

New York City has extensive public health regulations. Some regulations aim to reduce smoking, and they include high cigarette taxes and bans on smoking in public places such as bars, restaurants, public beaches, and public parks. Other regulations aim to combat obesity. They include regulations requiring display of calorie information on some restaurant menus and the elimination of transfats in much public cooking. One important issue is whether New York City officials -- including both public health officials and (...) other city officials -- have adequately explained the justification to the public. Explanation has practical importance; the public might not back controversial and restrictive regulations unless offered a good rationale. But explanation is also an official duty, since public officials should make their reasoning transparent to their constituents. This article argues that New York City has not adequately communicated the rationales for its regulations to the public. It then offers several suggestions for improving public communication. After laying out those suggestions, this article points out that even if communication were improved, New York City’s regulations would still raise difficult philosophical issues. Those issues are briefly discussed in the final sections. NOTE: this is a reprint of a conference presentation. (shrink)

Does smoke cause fire or does fire cause smoke? James Woodward’s “Flagpoles anyone? Causal and explanatory asymmetries” argues that various statistical independence relations not only help us to uncover the directions of causal and explanatory relations in our world, but also are the worldly basis of causal and explanatory directions. We raise questions about Woodward’s envisioned epistemology, but our primary focus is on his metaphysics. We argue that any alleged connection between statistical (in)dependence and causal/explanatory direction is contingent, at best. (...) The directions of causal/explanatory relations in our world seem not to depend on the statistical (in)dependence relations in our world (conceived of either as frequency patterns or as relations among chances). Thus, we doubt that statistical (in)dependence relations are the worldly basis of causal and explanatory directions. (shrink)

Andy Egan's Smoking Lesion and Psycho Button cases are supposed to be counterexamples to Causal Decision Theory. This paper argues that they are not: more precisely, it argues that if CDT makes the right call in Newcomb's problem then it makes the right call in Egan cases too.

If modus ponens is valid, then you should take up smoking.

We argue elsewhere that explanatoriness is evidentially irrelevant . Let H be some hypothesis, O some observation, and E the proposition that H would explain O if H and O were true. Then O screens-off E from H: Pr = Pr. This thesis, hereafter “SOT” , is defended by appeal to a representative case. The case concerns smoking and lung cancer. McCain and Poston grant that SOT holds in cases, like our case concerning smoking and lung cancer, that (...) involve frequency data. However, McCain and Poston contend that there is a wider sense of evidential relevance—wider than the sense at play in SOT—on which explanatoriness is evidentially relevant even in cases involving frequency data. This is their main point, but they also contend that SOT does not hold in certain cases not involving frequency data. We reply to each of these points and conclude with some general remarks on screening-off as a test of evidential relevance. (shrink)

The empirical phenomenon at the center of this paper is projection, which we define (uncontroversially) as follows: (1) Definition of projection An implication projects if and only if it survives as an utterance implication when the expression that triggers the implication occurs under the syntactic scope of an entailment-cancelling operator. Projection is observed, for example, with utterances containing aspectual verbs like stop, as shown in (2) and (3) with examples from English and Paraguayan Guaraní (Paraguay, Tupí-Guaraní).1 The Guaraní example in (...) (2) and its English translation have at least the following implications: (i) Carla has previously smoked, and (ii) Carla stopped smoking. The first but not the second of these implications is also conveyed by the question version of sentence (2), as in (3a), or when (2) is embedded under entailment-cancelling sentential operators, such as negation, as in (3b), the antecedent of a conditional, as in (3c), or an epistemic modal, as in (3d). Hence, by the definition in (14), the first but not the second implication of (2) projects. (shrink)

In bioethics, the predominant categorization of various types of influence has been a tripartite classification of rational persuasion (meaning influence by reason and argument), coercion (meaning influence by irresistible threats—or on a few accounts, offers), and manipulation (meaning everything in between). The standard ethical analysis in bioethics has been that rational persuasion is always permissible, and coercion is almost always impermissible save a few cases such as imminent threat to self or others. However, many forms of influence fall into the (...) broad middle terrain—and this terrain is in desperate need of conceptual refining and ethical analysis in light of recent interest in using principles from behavioral science to influence health decisions and behaviors. This paper aims to address the neglected space between rational persuasion and coercion in bioethics. First, I argue for conceptual revisions that include removing the “manipulation” label and relabeling this space “nonargumentative]influence,” with two subtypes: “reason-bypassing” and “reason-countering.” Second, I argue that bioethicists have made the mistake of relying heavily on the conceptual categories themselves for normative work and instead should assess the ethical permissibility of a particular instance of influence by asking several key ethical questions, which I elucidate, that relate to (1) the impact of the form of influence on autonomy and (2) the relationship between the influencer and the influenced. Finally, I apply my analysis to two examples of nonargumentative influence in health care and health policy: (1) governmental agencies such as the Food and Drug Administration (FDA) trying to influence the public to be healthier using nonargumentative measures such as vivid images on cigarette packages to make more salient the negative effects of smoking, and (2) a physician framing a surgery in terms of survival rates instead of mortality rates to influence her patient to consent to the surgery. (shrink)

It is commonly argued that values “fill the logical gap” of underdetermination of theory by evidence, namely, values affect our choice between two or more theories that fit the same evidence. The underdetermination model, however, does not exhaust the roles values play in evidential reasoning. I introduce WAVE – a novel account of the logical relations between values and evidence. WAVE states that values influence evidential reasoning by adjusting evidential weights. I argue that the weight-adjusting role of values is distinct (...) from their underdetermination gap-filling role. Values adjust weights in three ways. First, values affect our trust in the testimony of others. Second, values influence the evidential thresholds required for justified epistemic judgments. Third, values influence the relative weight of a certain type of evidence within a body of multimodal discordant evidence. WAVE explains, from an epistemic perspective, rather than psychological, how smokers, for example, can find the same evidence about the dangers of smoking less persuasive than non-smokers. WAVE allows for a wider effect of values on our accepted scientific theories and beliefs than the effect for which the underdetermination model allows alone; therefore, science studies scholars must consider WAVE in their research and analysis of evidential case studies. (shrink)

In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The evaluation (...) of testing the dataset shows that the ANN model is capable of correctly predicting the birth weight with 100% accuracy. (shrink)

Much disease and disability is the result of lifestyle behaviours. For example, the contribution of imprudence in the form of smoking, poor diet, sedentary lifestyle, and drug and alcohol abuse to ill-health is now well established. More importantly, some of the greatest challenges facing humanity as a whole – climate change, terrorism, global poverty, depletion of resources, abuse of children, overpopulation – are the result of human behaviour. In this chapter, we will explore the possibility of using advances in (...) the cognitive sciences to develop strategies to intentionally manipulate human motivation and behaviour. While our arguments apply also to improving prudential motivation and behaviour in relation to health, we will focus on the more controversial instance: the deliberate targeted use of biomedicine to improve moral motivation and behaviour. We do this because the challenge of improving human morality is arguably the most important issue facing humankind (Persson and Savulescu, forthcoming). We will ask whether using the knowledge from the biological and cognitive sciences to influence motivation and behaviour erodes autonomy and, if so, whether this makes it wrong. (shrink)

This short essay seeks to identify and prevent a pitfall that attends less careful inquiries into “physiosemiosis.” It is emphasized that, in order to truly establish the presence of sign-action in the non-living world, all the components of a triadic sign - including the interpretant - would have to be abiotic (that is, not dependent on a living organism). Failure to heed this necessary condition can lead one to hastily confuse a natural sign (like smoke coming from fire) for an (...) instance of abiotic semiosis. A more rigorous and reserved approach to the topic is called for. (shrink)

For Meinong, familiarly, fictional entities are not created, but rather merely discovered (or picked out) from the inexhaustible realm of Aussersein (beyond being and non-being). The phenomenologist Roman Ingarden, in contrast, offers in his Literary Work of Art of 1931 a constructive ontology of fiction, which views fictional objects as entities which are created by the acts of an author (as laws, for example, are created by acts of parliament). We outline the logic of fiction which is implied by Ingarden’s (...) approach, showing how it distinguishes the properties possessed by fictional objects (for instance of having been created by such and such an author in such and such a work) from characteristics (for instance of smoking a pipe, of living in Baker Street) which are merely associated with such objects. (shrink)

Depressive disorders have been found to be a significant health issue among industrial workers, resulting from work-related factors and causing serious burdens for the workers as well as their employers. Literature on mental health problems of Vietnamese industrial workers has been limited, despite the rapid foreign investment-fueled industrialization process of the country. This study aimed to fill the gap in literature by examining the prevalence of depressive disorders and their potential associated factors among a cohort of Vietnamese industrial workers. A (...) cross-sectional study was conducted in 3 industrial areas in Hanoi and Bac Ninh. A total of 289 workers agreed to participate in the study. Generalized linear mixed models were applied to identify associated factors with depression status of respondents. 38.6% of participants reported suffering depression. Factors found to be positively associated with the possibility of having depression and higher PHQ9 score were long working hours, suffering more health problems, and health hazards exposure at work. Meanwhile, being females, having more children, living with parents, engaging in smoking, and being local workers were found to correlate with lower likelihood of being depressed. The findings suggested the importance of regular health screening, work safety assurance, and social support outside of workplace on the mental health of the workers. (shrink)

We argued that explanatoriness is evidentially irrelevant in the following sense: Let H be a hypothesis, O an observation, and E the proposition that H would explain O if H and O were true. Then our claim is that Pr = Pr. We defended this screening-off thesis by discussing an example concerning smoking and cancer. Climenhaga argues that SOT is mistaken because it delivers the wrong verdict about a slightly different smoking-and-cancer case. He also considers a variant of (...) SOT, called “SOT*”, and contends that it too gives the wrong result. We here reply to Climenhaga’s arguments and suggest that SOT provides a criticism of the widely held theory of inference called “inference to the best explanation”. (shrink)

Many public health dilemmas involve a tension between the promotion of health and the rights of individuals. This article suggests that we should resolve the tension using our familiar liberal principles of government. The article considers the common objections that liberalism is incompatible with standard public health interventions such as anti-smoking measures or intervention in food markets; there are special reasons for hard paternalism in public health; and liberalism is incompatible with proper protection of the community good. The article (...) argues that we should examine these critiques in a larger methodological framework by first acknowledging that the right theory of public health ethics is the one we arrive at in reflective equilibrium. Once we examine the arguments for and against liberalism in that light, we can see the weaknesses in the objections and the strength of the case for liberalism in public health. (shrink)

Lung cancer is a serious and deadly disease that affects the lungs, which are responsible for taking in oxygen and expelling carbon dioxide from the body. The disease can develop in any part of the lungs and is usually caused by smoking or exposure to certain chemicals. The main Objective: of this expert system is to provide an accurate diagnosis of lung cancer and the appropriate treatment options. In this paper, Methods: we present the design and implementation of an (...) expert system that can assist physicians in diagnosing lung cancer and determining the best course of treatment. The system provides an overview of the disease, its causes, symptoms, diagnosis, and treatment, along with relevant medical information. Results: The system was developed using the Clips expert system language and evaluated by medical professionals who found it to be an effective tool for diagnosing and treating lung cancer. Conclusion: The proposed expert system has the potential to improve patient outcomes and reduce healthcare costs associated with the treatment of lung cancer. (shrink)

Abstract: Heart attacks, or myocardial infarctions, are a leading cause of mortality worldwide. Early prediction and accurate analysis of potential risk factors play a crucial role in preventing heart attacks and improving patient outcomes. In this study, we conduct a comprehensive review of datasets related to heart attack analysis and prediction. We begin by examining the various types of datasets available for heart attack research, encompassing clinical, demographic, and physiological data. These datasets originate from diverse sources, including hospitals, research institutions, (...) and public health agencies. Our analysis aims to identify common features, data quality, and potential biases in these datasets. Next, we explore the predictive modeling techniques employed in heart attack prediction. Machine learning algorithms, such as decision trees, support vector machines, and deep neural networks, have gained prominence in predicting heart attacks. We discuss the strengths and limitations of these methods and highlight recent advancements in predictive modeling. Furthermore, we delve into the critical risk factors associated with heart attacks. Factors such as age, gender, hypertension, diabetes, and cholesterol levels are examined for their significance in predicting cardiac events. We also investigate the role of lifestyle factors, including smoking, diet, and physical activity, in heart attack risk assessment. Additionally, this review addresses the importance of data preprocessing and feature engineering in improving prediction accuracy. Feature selection methods, missing data handling, and data scaling techniques are discussed to enhance the robustness of heart attack prediction models. In conclusion, this comprehensive dataset review provides valuable insights into the state of heart attack analysis and prediction. It serves as a resource for researchers and healthcare professionals seeking to better understand the datasets available for heart attack research and the methods employed for accurate prediction. Ultimately, our efforts in dataset analysis and predictive modeling contribute to the advancement of preventive cardiology and the reduction of heart attack-related morbidity and mortality. (shrink)

I argue for a new reading of Pyrrhonian beliefs inspired by representationalism (the content view) in recent philosophy of mind. I shall argue that there are two senses of acceptance or “acquiescence in something” (eudokein tini pragmati) rather than two senses of belief (doxa). For this reason, we can maintain along with Sextus that the Pyrrhonian skeptic behaves intentionally and can live his life in society adoxastôs without any proper beliefs whatsoever. However, the skeptical sense of acceptance is not the (...) mere avowal of a feeling or a mere report or register of the way things appear to me. I want to suggest the following reading. Acceptance without belief is an anti-predicative passive and involuntary acceptance of content by means of an indicator function (pathos or phainomenon) in virtue of the past regular connection between the representational content and the indicator function. The pathos (as a present state of mind) or the phainomenon “means” (that is, indicates) passively and involuntarily a content in virtue of its regular connection with this content through time. For example, the Pyrrhonian’s acceptance of the content of the sentence “there is fire” is based on the fact that he here and now perceives smoke and that pathos passively and involuntarily means (represents) the content that there is fire. There is no judgment involved at all: even when the skeptic suspends his judgment (epochê) about whether there is fire, his pathos makes him involuntarily accept that there is fire. That is what Sextus, following the Stoic tradition, calls “commemorative signs” (hupomnêstikon) in opposition to the so-called “indicative signs” (endeiktikon), namely the “internal assertion” of the content as a belief (as a propositional attitude). As I do not believe that any reasonable reading of the skeptical acceptance may be defended only by means of philological analysis and by the research of the huge doxography, my arguments deliberately mix historical evidence with reasons of a systematic nature. In this way, the defense of my alternative reading is abductive, namely as the inference to the best explanation. (shrink)

Bradford Hill (1965) highlighted nine aspects of the complex evidential situation a medical researcher faces when determining whether a causal relation exists between a disease and various conditions associated with it. These aspects are widely cited in the literature on epidemiological inference as justifying an inference to a causal claim, but the epistemological basis of the Hill aspects is not understood. We offer an explanatory coherentist interpretation, explicated by Thagard's ECHO model of explanatory coherence. The ECHO model captures the complexity (...) of epidemiological inference and provides a tractable model for inferring disease causation. We apply this model to three cases: the inference of a causal connection between the Zika virus and birth defects, the classic inference that smoking causes cancer, and John Snow’s inference about the cause of cholera. (shrink)

Abstract: Many, if not most philosophers, deny that a sentence like ‘Sherlock Holmes smokes’ could be true. However, this attitude conflicts with the assignment of true to that sentence by natural language speakers. Furthermore, this process of assigning truth values to sentences like ‘Sherlock Holes smokes’ seems indistinguishable from the process that leads speakers to assign true to other sentences, those like ‘Bertrand Russell smokes’. I will explore the idea that when speakers assign the value true to the first sentence, (...) they are not mistaken or confused — that we ought to take these assignments at face value. I show how the most popular alternative to this idea is inadequate for explaining various sentences involving fictional names. In addition, I offer evidence that these truth value assignments to sentences are tracking semantic content rather than pragmatic effects. (shrink)

Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The (...) evaluation of testing the dataset shows that the ANN model is capable of correctly predicting the birth weight with 100% accuracy. (shrink)

In this paper, I will try to answer the question: How are we supposed to assess the expert’s opinion in an argument from the position of an outsider to the specialized field? by placing it in the larger context of the political status of epistemic authority. In order to do this I will first sketch the actual debate around the problem of expertise in a democracy and relate this to the issue of the status of science in society. Secondly, I (...) will review how Douglas Walton’s pragma-dialectical approach offers a practical procedure to assess the expert bias from a nonprofessional’s perspective. Thirdly, I will introduce the problem of group bias using insights from Bohman and Fischer and show how Walton’s solution does not address this specific type of bias. Lastly, I will try proposing a revision of Walton’s solution in order to address this problem. In order to make the explanation more easy to follow I will use a case study concerning the medical expertise in the public debate on second-hand smoke. (shrink)

This paper explores the neglected ‘harms-to-others’ which result from increased attention to beauty, increased engagement in beauty practices and rising minimal beauty standards. In the first half of the paper I consider the dominant discourse of beauty harms – that of ethics and policy – and argue that this discourse has over-focused on the agency of, and possible harms to, recipients of beauty practices. I introduce the feminist discourse which recognises a general harm to all women and points towards an (...) alternative understanding; although it too focuses on engaging individuals. I argue over-focusing on harms to engaging individuals is somewhat surprising especially in liberal contexts, as this harm can broadly be regarded as ‘self-harm’ (done by individuals to themselves, or by others employed by individuals to do so). The focus on engaging individuals has resulted in the neglect of significant and pressing harms-to-others in theory, policy and practice. In the second half of the paper I turn to actual and emerging harms-to-others. I focus on three particular harms-to-others as examples of the breadth and depth of beauty harms: first, direct harm to providers; second, indirect but specific harm to those who are ‘abnormal’; and third, indirect and general harm to all. I conclude that, contrary to current discourses, harms-to-others need to be taken into account to avoid biased and partial theorising and counter-productive policy-making. I advocate recasting beauty, in a parallel way to smoking, as a matter of public health rather than individual choice. (shrink)

: For Meinong, familiarly, fictional entities are not created, but rather merely discovered (or picked out) from the inexhaustible realm of Aussersein (beyond being and non-being). The phenomenologist Roman Ingarden, in contrast, offers in his Literary Work of Art of 1931 a constructive ontology of fiction, which views fictional objects as entities which are created by the acts of an author (as laws, for example, are created by acts of parliament). We outline the logic of fiction which is implied by (...) Ingarden’s approach, showing how it distinguishes the properties possessed by fictional objects (for instance of having been created by such and such an author in such and such a work) from characteristics (for instance of smoking a pipe, of living in Baker Street) which are merely associated with such objects. (shrink)

Patients are generally assumed to have the right to choices about treatment, including the right to refuse treatment, which is constrained by considerations of cost‐effectiveness. Independently, many people support the idea that patients who are responsible for their ill health should incur penalties that non‐responsible patients do not face. Surprisingly, these two areas have not received much joint attention. This paper considers whether restricting the scope of responsibility to pre‐treatment decisions can be justified, or whether a demand to hold people (...) responsible for 'usual suspect' choices such as smoking or failure to exercise commits us to also holding people responsible for their treatment choices. I argue that there is no good reason to support this restriction: those who advocate responsibility for (some) pre‐treatment choices should also advocate responsibility for (some) treatment choices. However, I also note that, as with pre‐treatment choices, patients may sometimes have reason to choose in ways that do not optimize their health. As such, I also consider a process, based on the idea of public reasons, for deciding which treatment choices patients cannot legitimately be held responsible for, along with a method for considering proposed changes to this category. (shrink)

Abstract: This research explores the application of artificial neural networks (ANNs) in predicting cancer using a synthetically generated dataset designed for research purposes. The dataset comprises 10,000 pseudo-patient records, each characterized by gender, age, smoking history, fatigue, and allergy status, along with a binary indicator for the presence or absence of cancer. The 'Gender,' 'Smoking,' 'Fatigue,' and 'Allergy' attributes are binary, while 'Age' spans a range from 18 to 100 years. The study employs a three-layer ANN architecture to (...) develop a predictive model. The achieved accuracy of 97.24% and a low loss value of 0.02 indicate promising performance. Further analysis involves a comprehensive examination of the confusion matrix, precision, recall, and F1 score metrics, along with the ROC curve and AUC score, to provide a detailed understanding of the model's strengths and weaknesses. Additionally, considerations for cross-validation, hyperparameter tuning, and interpretability are discussed. It is emphasized that while the synthetic nature of the dataset allows for controlled experimentation, results should be cautiously interpreted and validated on authentic clinical data before extrapolation to real-world medical scenarios. This research serves as a valuable contribution to the exploration of predictive models for cancer detection, encouraging continued investigation and development in the field. (shrink)

An otherwise lawlike generalisation hedged by a ceteris paribus (CP) clause qualifies as a law of nature, if the CP clause can be substituted with a set of conditions derived from the multivariate regression model used to interpret the empirical data in support of the gen- eralisation. Three studies in human biology that use regression analysis are surveyed, showing that standard objections to cashing out CP clauses in this way—based on alleged vagueness, vacuity, or lack of testability—do not apply. CP (...) laws also cannot be said to be simply false due to the indefinitely many conditions not explicitly stated in their associated model: scientific CP clauses imply that these are, given the evidence, not nomically relevant. (shrink)

Luck egalitarians think that considerations of responsibility can excuse departures from strict equality. However critics argue that allowing responsibility to play this role has objectionably harsh consequences. Luck egalitarians usually respond either by explaining why that harshness is not excessive, or by identifying allegedly legitimate exclusions from the default responsibility-tracking rule to tone down that harshness. And in response, critics respectively deny that this harshness is not excessive, or they argue that those exclusions would be ineffective or lacking in justification. (...) Rather than taking sides, after criticizing both positions I also argue that this way of carrying on the debate – i.e. as a debate about whether the harsh demands of responsibility outweigh other considerations, and about whether exclusions to responsibility-tracking would be effective and/or justified – is deeply problematic. On my account, the demands of responsibility do not – in fact, they can not – conflict with the demands of other normative considerations, because responsibility only provides a formal structure within which those other considerations determine how people may be treated, but it does not generate its own practical demands. (shrink)

In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The evaluation (...) of testing the dataset shows that the ANN model is capable of correctly predicting the birth weight with 100% accuracy. (shrink)

Anamoly detection in videos plays an important role in various real-life applications. Most of traditional approaches depend on utilizing handcrafted features which are problem-dependent and optimal for specific tasks. Nowadays, there has been a rise in the amount of disruptive and offensive activities that have been happening. Due to this, security has been given principal significance. Public places like shopping centers, avenues, banks, etc. are increasingly being equipped with CCTVs to guarantee the security of individuals. Subsequently, this inconvenience is making (...) a need to computerize this system with high accuracy. Since constant observation of these surveillance cameras by humans is a near-impossible task. It requires workforces and their constant attention to judge if the captured activities are anomalous or suspicious. Hence, this drawback is creating a need to automate this process with high accuracy. Moreover, there is a need to display which frame and which parts of the recording contain the uncommon activity which helps the quicker judgment of that unordinary action being unusual or suspicious. Therefore, to reduce the wastage of time and labour, we are utilizing deep learning algorithms for Automating Threat Recognition System. Its goal is to automatically identify signs of aggression and violence in real-time, which filters out irregularities from normal patterns. We intend to utilize different Deep Learning models (CNN and RNN) to identify and classify levels of high movement in the frame. From there, we can raise a detection alert for the situation of a threat, indicating the suspicious activities at an instance of time and spray the smoke spray. (shrink)

The use of tobacco is a major cause of preventable mortality. The estimated number of smokers is 1.1 billion. Of these, 700 million men and 100 million women are in developing countries. The objective of this study was to find out attitude towards tobacco consumption among residents of Dhankuta Municipality. The cross sectional study was conducted among the residents of Dhankuta Municipality where 205 households were taken as subjects. Pretested semi structured questionnaire was administered to the study subjects and face (...) to face interview was conducted. The collected data was entered in MS Excel 2000. The quantitative data was analyzed using Statistical Package for the Social Sciences SPSS software package. The study subjects consist of 50.2 of male and 49.8 of female. Regarding respondent's education, study population showed high level of SLC and above 40.5 followed by below SLC 36.1 and very less was illiterate 14.1 . Majority of the respondents think that there should be ban of the advertising of tobacco products 87.3 and smoking in public places 79 . Almost 67 of respondents think that patient's chances of quitting smoking will be increased if health professionals will give advice to patients. Almost 72.6 of the study population feel cut down tobacco use and 80.3 feel guilty about this habit. Almost 65.8 have tried to discontinue tobacco consumption. We conclude that the residents of Dhankuta reflect good attitude towards cessation of tobacco but poor practice to prevent of tobacco consumption. Dr. Ram Bilakshan Sah | Jha N "Attitude towards tobacco consumption among residents of Dhankuta Municipality of Nepal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017. (shrink)

Despite analgesic and emetogenic benefits, cannabis has been banned from prescription in a number of western countries. Although some benefits are shared by drugs already available, the options of prescription are limited to the physician. The negative side-effects of cannabis do not justify this limitation on freedom and autonomy. Recreational use warrants limitations, as the search for euphoria is regularly believed to be a non-autonomous behavior. Medical prescriptions serve an analgesic and emetogenic purpose comparable to other prescribed drugs. This vindicates (...) the right for a physician to prescribe cannabis to qualified patients. For a patient to be considered qualified, they must be an adult that does not drive often, is not pregnant, and not at risk of schizophrenia or cardiovascular disease. If possible, cannabis should be eaten in an effort to avoid smoke irritation in the lungs and aerodigestive tract. In the end, the question is not whether cannabis use is efficable, but rather is the limitation of medical treatments to patients in need ethical? In light of the medical benefits, the banning of cannabis is simply immoral. Keywords: cannabis, banned substance, prescription, analgesic, emetogenic Note. Authors did not receive any external funding, nor display conflict of interest. (shrink)

Switching from a meat-heavy to a plant-based diet is one of the highest-impact lifestyle changes for climate mitigation and adaptation. Conventional demand-side energy policy has focused on increasing consumption of efficient machines and fuels. Regulating food demand has key advantages. First, food consumption is biologically constrained, thus switching to more efficient foods avoids unintended consequences of switching to more efficient machines, like higher overall energy consumption. Second, food consumption, like smoking, is primed for norm- shifting because it occurs in (...) socially conspicuous environments. While place-based bans and information regulation were essential in lowering the prevalence of smoking, the same strategies may be even more effective in reducing meat demand. Several policy reforms can be implemented at the federal level, from reform of food marketing schemes to publicly subsidized meal programs. (shrink)

For more than a decade, an aura of discontentment has challenged existing models and theories that have established the structures in various fields of human endeavours such as philosophy, architecture, political science, media, literature, arts and the humanities in general. For instance, the architectural design of what was hitherto referred to as modern building has at least a sitting room (parlour), a kitchen, a bathroom and a toilet as well as two or more number of bedrooms depending on the size (...) of the family, including the master's bedroom. This design was a view that transcended from the old traditional caves and all manner of living spaces that were devised by the early man. The modern concept arose out of man's need to assume a better living status based on his new initiatives. In the field of media and communication, the period of technological evolvement and development that brought about the coinage of descriptive terms such as 'electronic age' and now 'computer age', was preceded by a 'stone age' where the means of communication was prototypical of that archaic society. Though nothing has changed tremendously in interpersonal communication, there are modern means of interpersonal communication made possible by the advent of the telephone. Prior to the advent of this modern technology, interpersonal communication was only made possible in a face-to-face situation or mere errand. Mass Communication in early traditional societies was done with the use of smoke or town-criers who were employed to go round the communities with their gongs to make announcements. This means of communication hardly made it possible for ideas or information to be shared among people who resided in different parts of the world, unlike today. (shrink)

This study was carried out to determine the prevalence of, and reasons for the various forms of addictive use among the students of the University of Dire Dawa. The research system is used, cross-sectional, questionnairequestion. This study has been carried out, including the first-and second-year students at the University of Dire Dawa. The study included 164 students who have completed a structured questionnaire. The Data was analyzed on SPSS version 16. The prevalence of addictive use was 20.7%, with 64.7% of (...) the male students are dominating. It is the most common addiction among students was that the Chewing of Chat (38.2%), followed by cigarette smoking (23.5%), marijuana smoking (17.6%), shisha smoking (8.8%), alcohol (6%), and 5.9% were of other addiction. The most important factor appears to be the pleasure to compete and not being able to love. The vast majority of addictive users of the students (47.1%) were motivated by the friends of the start of an addiction. addictive usage among university students, even though they are well known about their dangers, a cause for concern. Education, training, counseling, and proper training can help prevent the dependency of prospective students, who are expected to serve the community. (shrink)

Ectopic pregnancy is defined as the fertilized ovum implants in a location outside the endometrial cavity, remains to be an important cause of maternal morbidity and mortality worldwide and is a health problem with incidence ranges between 0.25% and 2% of all pregnancies. In our study, in Izmir Katip Celebi University Ataturk Training and Research Hospital, Department of Obstetrics and Gynecology from 2011 to 2013, 96 cases with diagnosis of ectopic pregnancy managed by the adapted RCOG’s Guide were analyzed retrospectively. (...) The data were analyzed as follows: age, the history of operation, smoking, the presence of intrauterine device, blood groups, hemoglobin, platelets, values of B-hCG, the diagnostic interval, intra-abdominal free fluid and/or acute abdomen, the method of treatment and the success of treatment. (shrink)

All the biotic and abiotic factors that act on an organism, population, or ecological community and influence its survival and development constitute its environment. Biotic factors include the organisms themselves, their food, and their interactions. Abiotic factors include such items as sunlight, soil, air, water, climate, and pollution. Organisms respond to changes in their environment by evolutionary adaptations in form and behaviour. At present humanity is facing great challenges for its survival as both these factors have come under great stress (...) due to its unbridled demands of national economic growth and individual needs and desires. Grave Crisis: On the abiotic front, a grave ecological crisis is caused by man’s exploitation of Nature, which is leading to a large scale depletion of natural resources, destruction of forests, and overuse of land for agriculture and habitation. Pollution is contaminating air, land, and water. Smoke from industries, homes and vehicles, is in the air. A smoky haze envelopes the major cities of the world. Industrial waste and consumer trash are choking streams and rivers, ponds and lakes, killing the marine life. Much of the waste is a product of modern technology. It is neither biodegradable nor reusable, and its longterm consequences are unknown. The viability of many animal and plant species, and possibly that of the humankind itself, is at stake. At the biotic level, humanity is facing a social justice crisis, which is caused by humanity’s confrontation with itself. The social justice crisis is that poverty, hunger, disease, exploitation and injustice are widespread. There are economic wars over resources and markets. The rights of the poor and the marginal are violated. Women, constituting half the world’s population, have their rights abused. Obviously, the contemporary human society is in the midst of a grave environmental crisis. There is a serious concern that the earth may no longer be a sustainable biosystem. Although human beings are seen as the most intelligent life form on earth, yet they are responsible for almost all the ecological damage done to the planet. The Sikh scripture, Sri Guru Granth Sahib (SGGS), declares that the purpose of human beings is to achieve a blissful state and to be in harmony with the earth and all of God’s creation. It seems, however, that humans have drifted away from that ideal. According to the Sikh scriptures, humans create their surroundings as a reflection of their inner state. Thus, the increasing barrenness of the earth reflects a spiritual emptiness within humans. (shrink)

Abstract: Background: Coronary artery disease remains the leading cause of morbidity and mortality Worldwide. Previous reviews pointed that nursing interventions are beneficial for coronary artery patients. However, most interventions focused on education and counselling, but not consistent with the outcome set; still did not consider patient’s coronary artery disease risky characteristics. Related studies in China also difficult to find. Therefore this study was conducted to investigate kinds of nursing interventions delivered to coronary artery patients and match them with patient’s risk (...) factors of coronary artery disease. Results of this study were expected to add new knowledge that will alert nurses to consider coronary artery risk factors which in turn might enable the development of appropriate approaches to improve patient’s wellbeing hence reduce frequent coronary artery morbidity and mortality. Methods: A descriptive, cross-sectional, retrospective design using clinical case notes was employed. Study was undertaken in coronary care wards at the teaching hospital in China from November 2017 to September 2018. Structured-literature supported self-designed questionnaire was utilized for data collection. Chi square (χ2) test and multivariate logistic regression for adjusted odds ratio with 95% confidence interval were used to compare the relationship among independent (patient’s risk coronary artery disease factors) and dependent (nursing interventions) categorical variables. Ethical permission was granted accordingly. Results: A total of 300 coronary artery patients’ case notes were audited with mean age 63±11.2 years. Of these 175 (58.3%) were males. 126(42%) were smoking and 224(74.7%) were hypertensive. More evidence based nursing interventions than education and counselling were found to be delivered to these patients. “Administer coronary artery disease medication and their instructions” was mostly delivered to many patients 291(97%) while “counsel to cope with stress” was the least one 60 (20.0%). Three of eight nursing interventions delivered significantly matched with three or all of these patient’s coronary artery risk variables (age, smoking, hypertension and diabetes) (p < 0.05 and/or < 0.01) with Adjusted odds ratio (95% CI) within their significant ranges. Conclusion: This study delivers valuable insight that, nurses in the studied teaching hospital delivered beneficial evidence based nursing interventions to patients with coronary artery disease which significantly matched with their risk factors of coronary artery illness. However, care for stress was low hence needs improvement. Furthermore, research is needed to get consistency of nursing interventions with patient’s end point clinical outcomes for further appraisal of nursing efforts in caring CAD patients . (shrink)