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)

Despite the good intention of humanitarian agencies, humanitarian assistance and relief aid exacerbated the humanitarian crisis in Tanzania during 1994. In the case of Tanzania, humanitarian assistance relieved belligerents’ burden of sustaining conflicts, created safe spaces for armed combatants, undermined local economies, bestowed legitimacy upon belligerents, and fed armed combatants. This situation hence posed the typical humanitarian assistance dilemma for humanitarian agencies. While most scholars and aid practitioners suggest that humanitarian agencies should withdraw their assistance in these contexts given aid’s (...) apparent negative impact, there is relatively little research that properly identifies different kinds of ethical constraints and moral dilemmas that have long challenged humanitarian agencies. Referencing the case of late-twentieth-century Tanzania, this article contextualises the humanitarian assistance dilemma and systematically examines the ethical predicaments that surround it. Its analysis sheds light on moral quandaries that humanitarian agencies need to address in conflict situations. (shrink)

Abstract: Lung cancer is the top reason of cancer-associated deaths globally. Surgery is the typical treatment for early-stage non-small cell lung cancer (NSCLC). Advancement in the knowledge of the biology of non-small cell lung cancer has shown molecular evidence used for systemic cancer therapy aiming metastatic disease, with a significant impact on patients’ overall survival (OS) and eminence of life. Though, a biopsy of overt metastases is an invasive technique restricted to assured positions and not effortlessly satisfactory (...) in the clinic. The examination of peripheral blood samples of cancer patients embodies a new basis of cancer-derived material, recognized as liquid biopsy, and its constituents (circulating tumour cells (CTCS), circulating free DNA (cfDNA), exosomes, and tumour-educated platelets (TEP)) may be gotten from nearly any body liquids. These constituents have shown to imitate features of the status of both the primary and metastatic diseases, aiding the clinicians to go towards a tailored medicine. In this paper, the reasons of lung cancer will be recognized and the risk elements that initiated the increase of infection, for instance Smoking, Disclosure to secondhand smoke, Disclosure to radon gas, Disclosure to asbestos and other compounds, Family past history of lung cancer, and decrease of the spread of disease and approaches of handling and prevention of lung cancer. (shrink)

In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is (...) “survey lung cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung cancer with 96.67 % accuracy. -/- . (shrink)

In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is (...) “survey lung cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung cancer with 96.67 % accuracy. (shrink)

Objective: During the pandemic, elective cases other than those requiring emergency thoracic surgery were postponed. Depending on the magnitude of the impact the pandemic posed on hospitals and clinics, there have been changes in the number and variety of cases of thoracic surgery. The intention behind conducting this study was to share the experiences gained by a thoracic surgery clinic during the pandemic period. Methods: Altogether, 214 patients were included in the study. Patient data that were recorded included those on (...) age, gender, lung pathology, duration of hospital stay, positivity for COVID-19, survival, and causes of death. Results: Of the 214 patients operated on, 12 died during the postoperative period. Eight of these patients died due to their primary disease and one died due to gastrointestinal bleeding, whereas the remaining three patients died due to COVID-19 infection. Conclusions: If opportunities and facilities favorable for the administration of surgical treatment are made available, surgical treatment services can be offered safely to all patients. (shrink)

Background: Arthritis is very common but is not well understood. Actually, “arthritis” is not a single disease; it is an informal way of referring to joint pain or joint disease. There are more than 100 different types of arthritis and related conditions. People of all ages, sexes and races can and do have arthritis, and it is the leading cause of disability in America. More than 50 million adults and 300,000 children have some type of arthritis. It is most common (...) among women and occurs more frequently as people get older. Common arthritis joint symptoms include swelling, pain, stiffness and decreased range of motion. Symptoms may come and go. They can be mild, moderate or severe. They may stay about the same for years, but may progress or get worse over time. Severe arthritis can result in chronic pain, inability to do daily activities and make it difficult to walk or climb stairs. Arthritis can cause permanent joint changes. These changes may be visible, such as knobby finger joints, but often the damage can only be seen on X-ray. Some types of arthritis also affect the heart, eyes, lungs, kidneys and skin as well as the joints. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Orthopedist in diagnosing Arthritis disease through its symptoms such as: pain on pressure in a joint , Inflammation indicated by joint swelling, Stiffness especially in the morning , Loss of flexibility of joint, Limited, joint movement, Deformity of the joints , Weight loss and fatigue , Non-specific fever and Crepitus. The proposed expert system presents an overview about Arthritis disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Arthritis disease diagnosis expert system was evaluated by Orthopedics students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Orthopedist, patients with arthritis and newly graduated Orthopedics students. (shrink)

Man is a seeker by nature. He searches for truth. An ordinary man cannot be indifferent to truth because of the deep quest within him for truth. Gandhi lived his whole life in the perpetual quest for truth. He lived and moved in pursuit of this goal. This pursuit of seeking truth under the banner of philosophical education makes educational philosophizing moral. One can perfect these ideologies of different schools and make philosophizing in education better by placing truth in the (...) center. Thus, an idealist can evolve a realization of truth, a naturalist can bring about the true nature and potentialities of the individual, and pragmatists can rejuvenate the minds with a truth-oriented strategy and existential thinkers can invite truth into them so that they can avoid fear and dread. The Gandhian vision of Satya offers us the key to integral education. Following the footprints of Satya not only satisfies the Gandhian aims for education but it also helps the human person to continue his role on the earth as the seeker of truth. The aim of my research is to explore whether the concept of the truth of Mahatma Gandhi could be used as a platform for philosophical education? Can we take inspiration from Gandhian thoughts so that philosophizing may not engage itself in hermeneutical violence to bring out the truth (of our making) but a hermeneutical ahimsa that lets the truth show itself? Truth for Gandhi was equal to one of his lungs. He spoke the truth, wrote on truth, and exhorted people to be truthful. Gandhi made the concept of truth central to metaphysics, epistemology, morality, and the philosophy of religion. Truth was the guiding principle for Gandhi in all these disciplines. When we bring in truth as the guiding principle in the philosophy of education we envisage an educational community of all truth seekers traveling together in freedom to come to an ever-increasing approximation of truth. Should philosophy stop the pursuit of truth (satya) as Rorty claims? Is communication of truth irrelevant as no truth is ascertainable as skeptics claim? Is the will to communicate truth senseless since truth is an illusion? Do these approaches satisfy the philosophical minds that are after truth? The methodology I pursue in this thesis is an exploratory, analytical, and critical approach. a) Analytical: The basic method to be used is to analyze the existing works and apprehend their significance in the area of education, in particular philosophical education. b) Critical: a critical and comprehensive analysis of the concept of truth is followed in the research to represent the significance of truth in philosophical education. Man cannot be indifferent to truth since there is a longing for truth in the heart of every human being. Hence the need to search for it with all one’s might through success does not come everyone’s way in the same measure. The reason for this is that there are certain factors that impede our search and they even distort our understanding. They are natural limitations of reason, inconsistency of the heart, worldly concerns, and fear of the demand that truth makes. Hence it is necessary to overcome these in the search for truth. In his dealings with others, the human person wishes that the other may communicate his truth and only truth. Gandhian invitation is to be an experimenter with truth. Truth is that all seek and want above everything. No one wishes to compromise on that. When we bring in truth as the guiding principle in the philosophy of education we envisage an educational community of all truth seekers traveling together in freedom to come to an ever-increasing approximation of truth. They are compelled to study and defend truth in a better way when they are confronted. They will be forced to discern the core of truth from its formulations. That is the role of the experimenter with the truth. -/- In this research paper, I attempt to present M. K. Gandhi as an educationist giving emphasis only on his concept of truth. It is a limited approach to Gandhian educational philosophy because when I attend only to the concept of truth I fail to include very many other aspects of his educational philosophy like craft-centered education, teaching methods, education for different sections of society, etc. It also limits me to criticizing Gandhian dislike for the higher education system appropriately. However, the notion of truth is a common platform that could be shared by three important branches of philosophical education, namely the naturalistic, the idealistic, and the pragmatic. (shrink)

A ventilator is a device that provides cool air by moving the air in or out of the lungs, inhaling a patient who is not fit to smell, or breathing properly. In this paper, a resistive chest belt sensorbased mechanical ventilator is designed to provide the COVID-19 patient with the volume of air you need to deliver with the expansion of the patient's chest in need of more air. The resistive band sensor senses the expansion of the patient's chest and (...) controls the solenoid valve attached to the oxygen compressor. The function of the respirator is tested with the MATLAB / Simulink tool with the help of a Proportional Integral Derivative (PID) Controller and a promising result obtained. (shrink)

In this paper, the design of a low cost portable ventilator with performance analysis have been done to solve the scarcity of respiratory ventilators for COVID-19 patients. The materials used to build the system are: DC motor, rotating disc and pneumatic piston. The system input is the patient heart beat and the output is volume of air to the patient lung with adjusted breathing rate. This ventilator adjusts the breathing rate to the patient depending on his heart beat rate. (...) The performance analysis of this system have been done using Proportional Integral Derivative (PID) and Full State Feedback H2 controllers. Comparison of the system with the proposed controllers have been done using a step change and a random change of the patient heart beat and a promising result have been analyzed successfully. (shrink)

RD, a 32-year-old male, was admitted to the hospital with hypoxic COVID pneumonia–a potentially life-threatening condition characterized by dangerously low levels of oxygen in the body- during one of the pandemic’s surges. While RD’s age gave the clinical team hope for his prognosis, his ability to recover was complicated by his being unvaccinated and having multiple comorbidities, including diabetes and obesity. His condition worsened to the point that he required extracorporeal membrane oxygenation (ECMO), a machine that maintains the functioning of (...) a person’s heart and lungs. -/- Given its scarcity–only 264 of the over 6,000 hospitals in the United States offer ECMO, according to the Extracorporeal Life Support Organization–as well as its high cost and the inadequate supply of staff required to maintain it, ECMO primarily serves as a bridge to support critically ill patients until they can receive an organ transplant or implanted medical device. For RD, ECMO was started to support him until he could be evaluated for, and possibly receive, a bilateral lung transplant. Despite its intended use as a treatment of last resort, some patients can remain on ECMO for weeks or months. And some are awake, alert, and capable of medical decision-making. -/- RD was one such patient. However, the transplant evaluation committee ruled out RD’s candidacy for bilateral lung transplantation, based on his poor potential for recovery and a lack of family and friends to provide post-transplant support. This determination raised the prospect of continued ECMO treatment being a bridge to nowhere. But RD was comfortable on ECMO and wanted to remain in the ICU. The ICU intensivist contacted the ethics consult service with questions about whether continued ECMO support was medically and ethically inappropriate. (shrink)

Lung cancer is still a detrimental problem for physicians and surgeons. Because of having no standard treatment and poor survival, enforces us to find new approaches for its eradication. However, we have a so long way to this purpose. Genetic and cell researches to find out its real etiology and pathway are developing. But today, patients with lung cancer are waiting for some treatment methods which ease and give hope themselves immediately. Surgery is the most hopeful way for (...) radical solution of lung cancer. Recently, new anesthetic and surgical technics give us some important advantages that were very frightfully before. In this issue, we aimed to emphasize the new researches, interventions and experimental studies about pulmonary carcinoma. All authors worked hard for this purpose. I appreciate all of them and the editor in chief Prof. Murat Sucu. I hope all articles will help us thinking and researching lung cancer in all ways. -/- Prof. A. Feridun Işık. (shrink)

In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained (...) using data set which its title is “primary tumor” and was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia Test data evaluation shows that the ANN model is able to correctly predict the tumor category with 76.67 % accuracy. (shrink)

Pranayamic breathing, defined as a manipulation of breath movement, has been shown to contribute to a physiologic response characterized by the presence of decreased oxygen consumption, decreased heart rate, and decreased blood pressure, as well as increased theta wave amplitude in EEG recordings, increased parasympathetic activity accompanied by the experience of alertness and reinvigoration. The mechanism of how pranayamic breathing interacts with the nervous system affecting metabolism and autonomic functions remains to be clearly understood. It is our hypothesis that voluntary (...) slow deep breathing functionally resets the autonomic nervous system through stretchinduced inhibitory signals and hyperpolarization currents propagated through both neural and non-neural tissue which synchronizes neural elements in the heart, lungs, limbic system and cortex. During inspiration, stretching of lung tissue produces inhibitory signals by action of slowly adapting stretch receptors (SARs) and hyperpolarization current by action of fibroblasts. Both inhibitory impulses and hyperpolarization current are known to synchronize neural elements leading to the modulation of the nervous system and decreased metabolic activity indicative of the parasympathetic state. In this paper we propose pranayama’s physiologic mechanism through a cellular and systems level perspective,involving both neural and non-neural elements. This theoretical description describes a common physiological mechanism underlying pranayama and elucidate the role of the respiratory and cardiovascular system on modulating the autonomic nervous system. Along with facilitating the design of clinical breathing techniques for the treatment of autonomic nervous system and other disorders, this model will also validate pranayama as a topic requiring more research. (shrink)

There is a widely acknowledged shortage of and an increasing demand for transplantable human organs and tissues (e.g., kidney, heart, lung, liver, cornea) in developed and developing countries around the world. In response to this need, Lott and Savulescu (2007) propose the creation of a human embryonic stem (hESC) bank to facilitate the equitable and efficient dissemination of human leukocyte anti- gen (HLA) matched tissues and organs to patients in need of replacement. Although not an unreasonable proposal, the authors (...) go on to make a much stronger claim. They argue that hESCs are such important tools for addressing the massive unmet global need for organs that it is ethically justified to require mandatory banking of spare embryos, and they argue for the use of financial (or other) inducements to procure embryos for the derivation of hESCs. (shrink)

This piece continues ideas developed in my essay, Mind Matters, through responding to the critique of that essay by Peter K. Manning. Manning cannot conceive that human conduct involves full-bodied semiosis rather than disembodied conceptualism, and that the study of human signification requires a full-bodied understanding. The ancient Greek root phren, basis for the concept of phronesis, is rooted in the heart-lungs-solar plexus basis of bodily awareness, and provides a metaphor for a discussion of bio-developmental, biosemiotic capacities as crucial for (...) human culture. Manning’s use of Wittgenstein is contrasted with the outlook of Charles Peirce. The intense attunement to and reverence for animals and plants in hunter-gatherer peoples is more than some conceptual collective representations system or interaction order or psychological belief system, explainable by Durkheim or Goffman, or Jung’s universal structure of the “collective unconscious,” or by neural net theory. It exemplifies how those peoples are in real learning relationships to the instinctive intelligence of their habitats, deep learning expressed not only in trial-and-error experience but also in the sense of wonder, communicated in ritual life. Mind is found literally in those transactions, not in isolate brains or disembodied conceptualism. (shrink)

While many public health threats are now widely appreciated by the public, the risks from asbestos exposure remain poorly understood, even in high-risk groups. This article makes the case that asbestos exposure is an important, ongoing global health threat, and argues for greater policy efforts to raise awareness of this threat. It also proposes the extension of asbestos bans to developing countries and increased public subsidies for asbestos testing and abatement.

The Ganga is one of the most sacred and worshipped river of India, is regarded as the cradle of Indian civilization. Uttar Pradesh the largest state of India is blessed with the most holy and important river in its region but due to increased urbanization and industrialization this river is under intimidation of high water pollution. The major objectives of the present study were to investigate heavy metal's concentration in water and sediments of the River Ganga. Water and sediments collected (...) from different locations were analyzed for Iron (Fe), Chromium (Cr), Lead (Pb),Nickel(Ni) and Zinc(Zn). The concentration of these heavy metals in the study area indicates that the river is highly polluted. The possible sources of these heavy metal pollutants are diverse, originated from natural or anthropogenic sources and point sources. The concentrations determined were more than the maximum admissible and desirable limit when compared with the National and International organizations like WHO, USEPA. Exposure to heavy metals has been linked to chronic and acute toxicity developing retardation, neurotoxicity, kidney damage, various cancers, liver damage, lung damage, and fragile bones and even death in instances of very high exposure. (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)

Formaldehyde is one of the potent toxic industrial chemicals that are very commonly used in various industries, labs, and biological museums, etc. The toxicity of formaldehyde is well-known. It causes respiratory distress if inhaled in higher concentration thus, causing lung damage. It is also found to be mutagenic due to its rapid reactivity being a small molecule having electrophilic carbon. The current review focuses on the characteristic properties of formaldehyde, Sources, and uses of formaldehyde. This review further brings about (...) the toxicity of formaldehyde on different organs and organ systems of the body. Its genotoxicity and carcinogenicity are described. And later the various ways of decontaminating the formaldehyde are discussed to neutralize its harmful impacts. From this review, we have concluded that formaldehyde is a highly toxic chemical that needs proper protective measures while handling and should not be directly exposed. There should be proper decontaminating agents for emergencies, where there is the mass production of formaldehyde. (shrink)

A study of the literature and our own observations allow us to conclude that COVID-19 has become a provoking factor in the onset or aggravation of endocrinopathies. The number of newly diagnosed diabetes mellitus has increased, and in persons with an established diagnosis of diabetes, the likelihood of a severe course, complications and mortality has been noted. One of the reasons for this was the lack of routine monitoring and treatment of patients during the quarantine period. The highest percentage of (...) deaths from coronavirus was noted among overweight patients. In the lungs of an obese patient and Kovi d -Infection with pulmonary fibrosis occurs more pronounced than without obesity. The condition of the thyroid gland, adrenal glands and pituitary gland is negatively affected by both infection and the methods of treatment that were taken to save patients. (shrink)

Artificial intelligence has arrived. In the online world it is already a part of everyday life, sitting invisibly behind a wide range of search engines and online commerce sites. It offers huge potential to enable more efficient and effective business and government but the use of artificial intelligence brings with it important questions about governance, accountability and ethics. Realising the full potential of artificial intelligence and avoiding possible adverse consequences requires societies to find satisfactory answers to these questions. This report (...) sets out some possible approaches, and describes some of the ways government is already engaging with these issues. (shrink)

There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...) Custard Apple disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: A specialized syllable language system was established for the diagnosis of Custard Apple plant disease. (shrink)

I aim to develop a tool for comparing theories of vagueness, using Structured Query Language. Relevant SQL snippets will be used throughout.

Various studies show moral intuitions to be susceptible to framing effects. Many have argued that this susceptibility is a sign of unreliability and that this poses a methodological challenge for moral philosophy. Recently, doubt has been cast on this idea. It has been argued that extant evidence of framing effects does not show that moral intuitions have an unreliability problem. I argue that, even if the extant evidence suggests that moral intuitions are fairly stable with respect to what intuitions we (...) have, the effect of framing on the strength of those intuitions still needs to be taken into account. I argue that this by itself poses a methodological challenge for moral philosophy. (shrink)

This paper addresses Joseph Heath’s attempt to derive moral obligations from the conditions that are specified by the model of the perfectly competitive market. Through his market failures approach to business ethics he argues that firms should behave as if they are operating in a perfectly competitive market. However, I argue that this derivation of moral obligations runs counter to the metaethical principle that moral actions need to be voluntarily chosen from a set of alternatives. To the extent that Milton (...) Friedman’s derivation follows the same lines, my objection is also applicable to his approach to business ethics. I bring out the fact that the conditions required by the model of the perfectly competitive market cannot be realized in the actual world and argue that this causes problems for any moral obligations that might follow. My objection is illustrated by an intuitive example of someone set to an impossible task. I also bring in a way that Heath could work around this objection, but I argue that this would imply the collapse of his approach into another kind of theory that he wishes to distinguish himself from. More deeply, I show that my metaethical objection has epistemological consequences that undermine the very basis of the model of the perfectly competitive market. I conclude by stating that we need a different conception of competition, pointing to the facts that such a perspective would need to take into account, and suggesting that the concept of rivalry is up to the job. (shrink)

Bribing doctors for preferential treatment is rampant in the healthcare system of developing countries like Vietnam. Although bribery raises the out-of-pocket expenditures of patients, it is so common to be deemed an “envelope culture.” Given the little understanding of the underlying mechanism of the culture, this study employed the mindsponge theory for reasoning the mental processes of both patients and doctors for why they embrace the “envelope culture” and used the Bayesian Mindsponge Framework (BMF) analytics to validate our reasoning. Analyzing (...) responses from 1042 Vietnamese patients, we discovered that bribing doctors can help patients reduce the destitution risk induced by treatment. Such effect of doctor bribery remains consistent among patients that have to pay high daily costs (e.g., accommodation and subsistence fees) regardless of their employment status. Nevertheless, for patients with no or unstable jobs, their risks of destitution increase if they have to pay more thank-you money. These findings suggest that doctor bribery is an adaptive strategy for patients in an environment where the healthcare supply cannot meet the actual demand. Moreover, healthcare equity is greatly exacerbated due to the envelope culture, as vulnerable individuals are exposed to a greater threat of poverty. At the same time, those with good economic conditions get preferential treatment by paying a higher amount of thank-you money. Healthcare workers’ ethics must be the top priority for an equitable and proper healthcare system. (shrink)

In this paper, we propose the introduction of a neutrosophic chi-square-test for consistency, incorporating neutrosophic statistics. Our aim is to modify the existing chi-square -test for consistency in order to analyze imprecise data. We present a novel test statistic for the neutrosophic chi-square -test for consistency, which accounts for the uncertainties inherent in the data. To evaluate the performance of the proposed test, we compare it with the traditional chi-square -test for consistency based on classical statistics. By conducting a comparative (...) analysis, we assess the efficiency and effectiveness of our proposed neutrosophic chi-square-test for consistency. Furthermore, we illustrate the application of the proposed test through a numerical example, demonstrating how it can be utilized in practical scenarios. Through this implementation, we aim to provide empirical evidence of the improved performance of our proposed test when compared to the traditional chi-square-test for consistency based on classical statistics. We anticipate that the proposed neutrosophic chi-square-test for consistency will outperform its classical counterpart, offering enhanced accuracy and reliability when dealing with imprecise data. This advancement has the potential to contribute significantly to the field of statistical analysis, particularly in situations where data uncertainty and imprecision are prevalent. (shrink)

In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according to (...) the behavior of the student. An evaluation of the intelligent tutoring system has revealed reasonably acceptable results in terms of its usability and learning abilities are concerned. (shrink)

Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...) year. And one in six people (16.6%) will experience depression at some time in their life. Depression can strike at any time, but on average, first appears during the late teens to mid-20s. Women are more likely than men to experience depression. Some studies show that one-third of women will experience a major depressive episode in their lifetime. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Psychologist in diagnosing depression disease through its symptoms such as: a loss of energy, a change in appetite, sleeping more or less, anxiety, reduced concentration, indecisiveness, restlessness, feelings of worthlessness, guilt or hopelessness and thoughts of self-harm or suicide. The proposed expert system presents an overview about depression disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed depression disease diagnosis expert system was evaluated by psychologist students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for psychologist, patients with depression and newly graduated psychologist. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...) suitable for the evaluation of car acceptability forecasting, can also be extended to all other areas. (shrink)

A newborn baby is an infant within the first 28 days of birth. Diagnosis and treatment of infant diseases require specialized medical resources and expert knowledge. However, there is a shortage of such professionals globally, particularly in low-income countries. To address this challenge, a knowledge-based system was designed to aid in the diagnosis and treatment of neonatal diseases. The system utilizes both machine learning and health expert knowledge, and a hybrid data mining process model was used to extract knowledge from (...) a clinical dataset. The PART algorithm achieved the highest performance result with 98.06% accuracy under 10-fold cross-validation, and the generated rules were used to develop the knowledge-based system. The system achieved 90.9% accuracy in system performance testing and 89.2% in user acceptance testing, and is intended to serve as an assistant tool for healthcare experts. (shrink)

Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analyses performed in achieving those results because they provide inadequate documentation of the statistical tests and algorithms applied. The Ontology of Biological and Clinical Statistics (OBCS) is put forward here as a step towards solving this problem. Terms in OBCS, including ‘data collection’, ‘data transformation in statistics’, ‘data visualization’, ‘statistical data (...) analysis’, and ‘drawing a conclusion based on data’, cover the major types of statistical processes used in basic biological research and clinical outcome studies. OBCS is aligned with the Basic Formal Ontology (BFO) and extends the Ontology of Biomedical Investigations (OBI), an OBO (Open Biological and Biomedical Ontologies) Foundry ontology supported by over 20 research communities. We discuss two examples illustrating how the ontology is being applied. In the first (biological) use case, we describe how OBCS was applied to represent the high throughput microarray data analysis of immunological transcriptional profiles in human subjects vaccinated with an influenza vaccine. In the second (clinical outcomes) use case, we applied OBCS to represent the processing of electronic health care data to determine the associations between hospital staffing levels and patient mortality. Our case studies were designed to show how OBCS can be used for the consistent representation of statistical analysis pipelines under two different research paradigms. By representing statistics-related terms and their relations in a rigorous fashion, OBCS facilitates standard data analysis and integration, and supports reproducible biological and clinical research. (shrink)

This research examines how it is to have tailored training programs to improve behavior at work. It focuses on aspects including interpersonal skills, communication, adaptability, and work ethics. Acknowledging the paucity of empirical research on particular training requirements for these characteristics, the study uses a descriptive-correlational methodology to examine information from ninety production employees at Fine Interiors Trading and Manufacturing Incorporated. To guarantee participation from a range of employment roles, participants were chosen using purposive sampling. Utilizing an extensive survey to (...) evaluate training requirements and demographic data. An assessment of the relationship between training requirements and demographic factors was done using statistical methods such as Chi Square tests and descriptive statistics. The findings indicate that different people have different levels of training demands, and there are strong relationships between the training needs and age, civil status, length of service, educational attainment, assignment area, and employment status. The results highlight the need to tailor training initiatives to particular worker requirements, fostering ongoing enhancement and career advancement. This research adds to the body of knowledge in academia and has real-world implications for businesses looking to get the most out of their training initiatives. (shrink)

The distinction between the mental operations of abstraction and exclusion is recognized as playing an important role in many of Descartes’ metaphysical arguments, at least after 1640. In this paper I first show that Descartes describes the distinction between abstraction and exclusion in the early Rules for the Direction of the Mind, in substantially the same way he does in the 1640s. Second, I show that Descartes makes the test for exclusion a major component of the method proposed in the (...) Rules. Third, I argue that in Rule 14 the exclusion-abstraction distinction is connected to a theory of distinctions, which includes a notion of real distinction as essentially tied to the imagination. This sheds light on Descartes’ development in and after the Rules. (shrink)

We define a formal semantics of conditionals based on _normatively ideal worlds_. Such worlds are described informally by Armgardt (Gabbay D, Magnani L, Park W, Pietarinen A-V (eds) Natural arguments: a tribute to john woods, College Publications, London, pp 699–708, 2018) to address well-known problems of the counterfactual approach to causation. Drawing on Armgardt’s proposal, we use iterated conditionals in order to analyse causal relations in scenarios of multi-agent interaction. This results in a refined counterfactual approach to causal responsibility in (...) legal contexts, which solves overdetermination problems in an intuitively accessible manner. (shrink)

Humean promotionalists about reasons think that whether there is a reason for an agent to ϕ depends on whether her ϕ-ing promotes the satisfaction of at least one of her desires. Several authors have recently defended probabilistic accounts of promotion, according to which an agent’s ϕ-ing promotes the satisfaction of one of her desires just in case her ϕ-ing makes the satisfaction of that desire more probable relative to some baseline. In this paper I do three things. First, I formalize (...) an argument, due to Jeff Behrends and Joshua DiPaolo, to the effect that Mark Schroeder’s and Stephen Finlay’s probabilistic accounts of promotion cannot be correct. Next, I extend this argument to a recent alternative offered by D. Justin Coates and show how Coates’ attempt to avoid the argument by introducing a distinction between ‘intrinsic’ and ‘extrinsic’ probability doesn’t help. Finally, I suggest an alternative way of understanding promotion in terms of increase in degree of fit between the causal upshot of an action and the content of a desire. I show how this view, disjunctively paired with probabilism about promotion, solves the problems with previous accounts. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)

This paper addresses the foundations of Teleological Individualism, the view that organisms, even non-sentient organisms, are goal-oriented systems while biological collectives, such as ecosystems or conspecific groups, are mere assemblages of organisms. Typical defenses of Teleological Individualism ground the teleological organization of organisms in the workings of natural selection. This paper shows that grounding teleological organization in natural selection is antithetical to Teleological Individualism because such views assume a view about the units of selection on which it is only individual (...) organisms that are units of selection. However, none of the Conventionalist, Reductionist, or Multi-Level Realist theories serve to justify such an assumption. Thus, Teleological Individualism cannot be grounded in natural selection. (shrink)

The naive theory of properties states that for every condition there is a property instantiated by exactly the things which satisfy that condition. The naive theory of properties is inconsistent in classical logic, but there are many ways to obtain consistent naive theories of properties in nonclassical logics. The naive theory of classes adds to the naive theory of properties an extensionality rule or axiom, which states roughly that if two classes have exactly the same members, they are identical. In (...) this paper we examine the prospects for obtaining a satisfactory naive theory of classes. We start from a result by Ross Brady, which demonstrates the consistency of something resembling a naive theory of classes. We generalize Brady’s result somewhat and extend it to a recent system developed by Andrew Bacon. All of the theories we prove consistent contain an extensionality rule or axiom. But we argue that given the background logics, the relevant extensionality principles are too weak. For example, in some of these theories, there are universal classes which are not declared coextensive. We elucidate some very modest demands on extensionality, designed to rule out this kind of pathology. But we close by proving that even these modest demands cannot be jointly satisfied. In light of this new impossibility result, the prospects for a naive theory of classes are bleak. (shrink)

Fiona Macpherson (2012) argues that various experimental results provide strong evidence in favor of the cognitive penetration of perceptual color experience. Moreover, she proposes a mechanism for how such cognitive penetration occurs. We argue, first, that the results on which Macpherson relies do not provide strong grounds for her claim of cognitive penetrability; and, second, that, if the results do reflect cognitive penetrability, then time-course considerations raise worries for her proposed mechanism. We base our arguments in part on several of (...) our own experiments, reported herein. (shrink)

When is it legitimate for a government to ‘nudge’ its citizens, in the sense described by Thaler and Sunstein (2008)? In their original work on the topic, Thaler and Sunstein developed the _‘as judged by themselves’ (or AJBT) test_ to answer this question (Thaler and Sunstein 2008, p. 5). In a recent paper, Paul and Sunstein (2019) raised a concern about this test: it often seems to give the wrong answer in cases in which we are nudged to make a (...) decision that leads to what Paul calls a _personally transformative experience_, that is, one that results in our values changing (Paul 2014). In those cases, the nudgee will judge the nudge to be legitimate after it has taken place, but only because their values have changed as a result of the nudge. In this paper, I take up the challenge of finding an alternative test. I draw on my _aggregate utility account_ of how to choose in the face of what Ullmann-Margalit (2006) calls _big decisions_, that is, decisions that lead to these personally transformative experiences (Pettigrew 2019, Chapters 6 and 7). (shrink)

In this paper, we propose a new hybrid neutrosophic multi criteria decision making (MCDM) framework that employs a collection of neutrosophic analytical network process (ANP), and order preference by similarity to ideal solution (TOPSIS) under bipolar neutrosophic numbers. The MCDM framework is applied for chief executive officer (CEO) selection in a case study at the Elsewedy Electric Group, Egypt. The proposed approach allows us to assemble individual evaluations of the decision makers and therefore perform accurate personnel selection. The outcomes of (...) the proposed method are compared with those of the related works such as weight sum model (WSM), weight product model (WPM), analytical hierarchy process (AHP), multiobjective optimization based on simple ratio analysis (MOORA) and ANP methods to prove and validate the results. (shrink)

The discussions which follow rest on a distinction, first expounded by Husserl, between formal logic and formal ontology. The former concerns itself with (formal) meaning-structures; the latter with formal structures amongst objects and their parts. The paper attempts to show how, when formal ontological considerations are brought into play, contemporary extensionalist theories of part and whole, and above all the mereology of Leniewski, can be generalised to embrace not only relations between concrete objects and object-pieces, but also relations between what (...) we shall call dependent parts or moments. A two-dimensional formal language is canvassed for the resultant ontological theory, a language which owes more to the tradition of Euler, Boole and Venn than to the quantifier-centred languages which have predominated amongst analytic philosophers since the time of Frege and Russell. Analytic philosophical arguments against moments, and against the entire project of a formal ontology, are considered and rejected. The paper concludes with a brief account of some applications of the theory presented. (shrink)

In this paper I make the case for a feminist hinge epistemology in three steps. My first step is to explain hinge epistemologies as contemporary epistemologies that take Wittgenstein’s work in On Certainty as their starting point. My second step is to make three criticisms of this literature as it currently stands. My third step is to introduce feminist epistemologies, which argue that social factors like race and gender affect what different people and groups justifiably believe, and argue that developing (...) a feminist hinge epistemology is both plausible and desirable. (shrink)

Many philosophers are skeptical about disjunctivism —a theory of perceptual experience which holds roughly that a situation in which I see a banana that is as it appears to me to be and one in which I have a hallucination as of a banana are mentally completely different. Often this skepticism is rooted in the suspicion that such a view cannot adequately account for the bad case—in particular, that such a view cannot explain why what it’s like to have a (...) hallucination can be exactly like what it’s like to have a veridical experience, that it cannot explain why the hallucination I have in the bad case is subjectively indistinguishable from the kind of experience I have in the good case, and that it cannot offer a viable account of the nature of hallucination. -/- In this paper, I argue that a proper formulation of disjunctivism can avoid these objections. Disjunctivism should be formulated as the weakest claim required to preserve its primary motivation, viz., Naïve Realism—the view that veridical experience fundamentally consists in the subject perceiving entities in her environment. And the weakest claim required to preserve Naïve Realism allows for many sorts of commonalities across the good and hallucinatory cases, commonalities that can be marshaled in responding to the objections. Most importantly, disjunctivism properly formulated is compatible with “positive” accounts of the nature of hallucination. (shrink)

The aim of this paper is to analyze Charles S. Peirce’s so-called “Neglected Argument for the Reality of God”. Peirce formulated the Neglected Argument as a “nest” of three different but sequentially developed arguments. Taken as a whole, the Neglected Argument aims to show that engaging in a religious way of life, adoring and acting in accordance with the hypothesis of God, is a subjective, non-evidentially grounded though naturally founded human reaction, and that it is this (alleged) natural foundation that (...) makes it reasonable to accept the hypothesis of God as it being actually true, thereby grounding a properly religious way of life. I argue that Peirce’s Neglected Argument lacks of any serious apologetic force since it fails to justify, on independent, non-question-begging grounds, the claim that we are all naturally (and thus inevitably) lead to formulate, and later adore and act in accordance with, the hypothesis of God. (shrink)

Rini 2015 [Synthese 192, (2): 431-452] claims to have identified a methodological flaw that invalidates the results of two experimental studies [Schwitzgebel & Cushman (2012) Mind and Language 27, (2): 135-153; Tobia, Buckwalter & Stich (2013) Philosophical Psychology 26, (5): 629–638] demonstrating order effects in professional philosophical intuition. This conclusion is reached on the basis of unsupported empirical premises for which no evidence is given. Subsequent findings in experimental cognitive science further reveal this as unsupported speculation.