The International Classification of Functioning, Disability and Health provides a classification of human bodily functions, which, while exhibiting non-conformance to many formal ontological principles, provides an insight into which basic functions such a classification should include. Its evaluation is an important first step towards such an adequate ontology of this domain. Presented at the 13th Annual North American WHO Collaborating Center Conference on the ICF, 2007.

Sign Language Recognition (SLR) aims to translate sign language into text or speech in order to improve communication between deaf-mute people and the general public. This task has a large social impact, but it is still difficult due to the complexity and wide range of hand actions. We present a novel 3D convolutional neural network (CNN) that extracts discriminative spatial-temporal features from photo datasets. This article is about classification of sign languages are not universal and are usually not mutually (...) intelligible although there are also similarities among different sign languages. They are the foundation of local Deaf cultures and have evolved into effective means of communication. Although signing is primarily used by the deaf and hard of hearing, hearing people also use it when they are unable to speak, when they have difficulty speaking due to a health condition or disability (augmentative and alternative communication), or when they have deaf family members, such as children of deaf adults. In this article we use the 43500 image in the dataset in size 64*64 pixel by use CNN Architecture and achieved 100% accuracy. (shrink)

Automatic detection of diseases and anatomical landmarks in medical images by the use of computers is important and considered a challenging process that could help medical diagnosis and reduce the cost and time of investigational procedures and refine health care systems all over the world. Recently, gastrointestinal (GI) tract disease diagnosis through endoscopic image classification is an active research area in the biomedical field. Several GI tract disease classification methods based on image processing and machine learning techniques (...) have been proposed by diverse research groups in the recent past. However, yet effective and comprehensive deep ensemble neural network-based classification model with high accuracy classification results is not available in the literature. In this thesis, we review ways and mechanisms to use deep learning techniques to research on multi-disease computer-aided detection about gastrointestinal and identify these images. We re-trained five state-of-the-art neural network architectures, VGG16, ResNet, MobileNet, Inception-v3, and Xception on the Kvasir dataset to classify eight categories that include an anatomical landmark (pylorus, z-line, cecum), a diseased state (esophagitis, ulcerative colitis, polyps), or a medical procedure (dyed lifted polyps, dyed resection margins) in the Gastrointestinal Tract. Our models have showed results with a promising accuracy which is a remarkable performance with respect to the state-of-the-art approaches. The resulting accuracies achieved using VGG, ResNet, MobileNet, Inception-v3, and Xception were 98.3%, 92.3%, 97.6%, 90% and 98.2%, respectively. As it appears, the most accurate result has been achieved when retraining VGG16 and Xception neural networks with accuracy reache to 98% due to its high performance on training on ImageNet dataset and internal structure that support classification problems. (shrink)

Abstract: Sign language recognition is one of the most rapidly expanding fields of study today. Many new technologies have been developed in recent years in the fields of artificial intelligence the sign language-based communication is valuable to not only deaf and dumb community, but also beneficial for individuals suffering from Autism, downs Syndrome, Apraxia of Speech for correspondence. The biggest problem faced by people with hearing disabilities is the people's lack of understanding of their requirements. In this paper we try (...) to fill this gap. By trying to translate sign language using artificial intelligence algorithms, we focused in this paper using transfer learning technique based on deep learning by utilizing a MobileNet algorithm and compared it with the previous paper results[10a], where we get in the Mobilenet algorithm on the degree of Accuracy 93,48% but the VGG16 the accuracy was 100% For the same number of images (43500 in the dataset in size 64*64 pixel ) and the same data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch . (shrink)

Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties (...) of potatoes, which can be classified into a number of categories based on the cooked texture and ingredient functionality. Using a public dataset of 2400 images of potatoes, we trained a deep convolutional neural network to identify 4 types (Red, Red Washed, Sweet, and White).The trained model achieved an accuracy of 99.5% of test set, demonstrating the feasibility of this approach. (shrink)

Abstract: Alzheimer's disease (AD) is one of the most common types of dementia. Symptoms appear gradually and end with severe brain damage. People with Alzheimer's disease lose the abilities of knowledge, memory, language and learning. Recently, the classification and diagnosis of diseases using deep learning has emerged as an active topic covering a wide range of applications. This paper proposes examining abnormalities in brain structures and detecting cases of Alzheimer's disease especially in the early stages, using features derived from (...) medical images. The entire brain image was passed on through the transmission of Xception learning architectures. The Convolutional Neural Network (CNN) was constructed with the help of separable convolution layers that It can automatically learn general features from imaging data for classification. (shrink)

New biotechnologies have the potential to both dramatically improve human well-being and dramatically widen inequalities in well-being. This paper addresses a question that lies squarely on the fault line of these two claims: When as a matter of justice are societies obligated to include a new biotechnology in a national healthcare system? This question is approached from the standpoint of a twin aim theory of justice, in which social structures, including nation-states, have double-barreled theoretical objectives with regard to human well-being. (...) The first aim is to achieve a sufficient level of well-being in each of six core dimensions. In the special case of healthcare systems, this aim is focally but not exclusively attentive to achieving health sufficiency as one of the core dimensions. The second aim is to combat the emergence and persistence of densely woven patterns of systematic disadvantage that tend to undermine the achievement of a sufficient level of health and the other core elements of well-being of some persons and groups. Judgments about entitlements to health related resources, including new biotechnologies, are made in light of a threshold notion of health sufficiency. What is enough or sufficient health? The answer that is defended here is that sufficient health is enough health for a decent human life, understood as enough health to live a full life course without preventable, significant functional disability or decrement in health, or treatable pain or suffering. When a state must include a new biotechnology in its national healthcare system is also influenced by ancillary concerns about the connection between health and other core dimensions of well-being. What counts as a significant functional impairment or health decrement is thus explicated, in part, in relation to the theory’s sufficiency aim for the other essential dimensions of well-being, and thus for a decent life, overall. Those elements of health that play a critical role in the experience of sufficient reasoning, affiliation, security, respect and self determination are especially important; any loss of health function or capacity that threatens the individual’s prospects for sufficiency in these other dimensions, including the relational egalitiarian concerns they entail, constitutes a significant functional impairment. Within national borders, individuals are thus entitled to those health-related goods and services that are essential for a sufficiency of each of the dimensions of well-being; with regard to self determination and respect, what is sufficient by way of guaranteed access to specific goods and services is going to depend on the implications of such access for where an individual stands in relation to her co-nationals. The content of any entitlement to health-related goods and services is also necessarily dynamic. What can be done for health and the other core dimensions of well-being as a function of technological innovation and diffusion is in constant flux. The paper concludes by considering the implications of this analysis for the conditions under which states are obligated to include access in their healthcare systems to one biotechnology, deep brain stimulation. (shrink)

Much academic work (in philosophy, economics, law, etc.), as well as common sense, assumes that ill health reduces well-being. It is bad for a person to become sick, injured, disabled, etc. Empirical research, however, shows that people living with health problems report surprisingly high levels of well-being - in some cases as high as the self-reported well-being of healthy people. In this chapter, I explore the relationship between health and well-being. I argue that although we have good (...) reason to believe that health problems causing pain and death typically do reduce well-being, health problems that limit capabilities probably don't reduce well-being nearly as much as most people suppose. I then briefly explore the consequences of this conclusion for political philosophy and ethics. If many health problems don't significantly reduce well-being, why should governments go to great expense to prevent or treat them? Why should parents be obliged to ensure the health of their children? (shrink)

Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep learning (...) is a technique used to generate face detection and recognize it for real or fake by using profile images and determine the differences between them. In this study, we used deep learning techniques to generate models for Real and Fake face detection. The goal is determining a suitable way to detect real and fake faces. The model was designed and implemented, including both Dataset of images: Real and Fake faces detection through the use of Deep learning algorithms based on neural networks. We have trained dataset which consists of 9,000 images for total in 150 epochs, and got the ResNet50 model to be the best model of network architectures used with 100% training accuracy, 99.18% validation accuracy, training loss 0.0003, validation loss 0.0265, and testing accuracy 99%. (shrink)

A large part of the controversy surrounding the publication of DSM-5 stems from the possibility of replacing the purely descriptive approach to classification favored by the DSM since 1980. This paper examines the question of how mental disorders should be classified, focusing on the issue of whether the DSM should adopt a purely descriptive or theoretical approach. I argue that the DSM should replace its purely descriptive approach with a theoretical approach that integrates causal information into the DSM’s descriptive (...) diagnostic categories. The paper proceeds in three sections. In the first section, I examine the goals (viz., guiding treatment, facilitating research, and improving communication) associated with the DSM’s purely descriptive approach. In the second section, I suggest that the DSM’s purely descriptive approach is best suited for improving communication among mental health professionals; however, theoretical approaches would be superior for purposes of treatment and research. In the third section, I outline steps required to move the DSM towards a hybrid system of classification that can accommodate the benefits of descriptive and theoretical approaches, and I discuss how the DSM’s descriptive categories could be revised to incorporate theoretical information regarding the causes of disorders. I argue that the DSM should reconceive of its goals more narrowly such that it functions primarily as an epistemic hub that mediates among various contexts of use in which definitions of mental disorders appear. My analysis emphasizes the importance of pluralism as a methodological means for avoiding theoretical dogmatism and ensuring that the DSM is a reflexive and self-correcting manual. (shrink)

there is a communication gap between hearing-impaired people and those with normal hearing, sign language is the main means of communication in the hearing-impaired population. Continuous sign language recognition, which can close the communication gap, is a difficult task since the ordered annotations are weakly supervised and there is no frame-level label. To solve this issue, we compare the accuracy of each model using two deep learning models, Inception and Xception . To that end, the purpose of this paper is (...) By attempting to translate sign language using deep learning models, we focused in this paper a comparing between Inception and Xception ¬¬¬¬¬ algorithm and compared it to previous papers in which we used VGG19[1], mobileNet [2], where we get in the Inception and Xception algorithm on the degree of Accuracy 99.32%, 99,43% respectively. number of images (29000 in the dataset in size 75*75 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

Age and gender classification has become relevant to an increasing amount of applications, particularly since the rise of social platforms and social media. Even Nevertheless, contrast to the large performance improvements recently reported for the closely related task of audio. In this research, we show that performance on these tasks can be significantly improved by learning representations using deep convolutional neural networks (CNN). where we get in the ResNet the training accuracy was 98% ,validation accuracy 95%, testing accuracy 96% (...) .Testing dataset organized into one folder (age-gender-test) and contains 1676 audio files related to 39 of age and gender categories and 40 epoch. (shrink)

Kant’s conception of mental illness is unlikely to satisfy contemporary readers. His classifications of mental illness are often fluid and ambiguous, and he seems to attribute to human beings at least some responsibility for preventing mental illness. In spite of these apparent disadvantages, I argue that Kant’s account of mental illness can be illuminating to his views about the normative dimensions of human cognition. In contrast to current understandings of mental illness, Kant’s account is what I refer to as “non-pathological.” (...) That is, most mental illnesses are for Kant continuous with normally functioning cognition. Someone with a healthy reason can easily fall into mental illness and someone with mental illness can (perhaps not as easily) re-establish healthy reason. By accepting a non-pathological definition of mental illness, it follows for Kant that humans have more agency and responsibility regarding their mental health than current views allow, which explains why several of his writings aim to prescribe a “diet of the mind” (2:271). Contrary to popular readings of Kant as a champion of reason’s power, Kant’s conception of mental illness shows that he recognizes how fragile human reason can be. (shrink)

Recent years have illustrated how the reproductive realm is continuously drawing the attention of medical and legal experts worldwide. The availability of technological services to facilitate reproduction has led to serious concerns over the right to reproduce, which no longer is determined as a private/personal matter. The growing technological options do implicate fundamental questions about human dignity and social welfare. There has been an increased demand for determining (a) the rights of prisoners, unmarried and homosexuals to such services, (b) concerns (...) over child’s information and health needs, (c) claims for wrongful birth and wrongful life, (d) the role of donors and physicians, (e) posthumous reproduction etc. In addition, the role of national and international law has been emphasized for an efficient system of functioning and delivery. This paper is an attempt to explore the pressing claims to reproductive choices, coupled with a marked increase in demand for legislative intervention in India. (shrink)

Brain-related diseases are among the most difficult diseases due to their sensitivity, the difficulty of performing operations, and their high costs. In contrast, the operation is not necessary to succeed, as the results of the operation may be unsuccessful. One of the most common diseases that affect the brain is Alzheimer’s disease, which affects adults, a disease that leads to memory loss and forgetting information in varying degrees. According to the condition of each patient. For these reasons, it is important (...) to classify memory loss and to know the patient at what level and his assessment of Alzheimer's disease through CT scans of the brain. In this thesis, we review ways and techniques to use deep learning classification to classifying the Alzheimer's Disease The proposed method used to improve patient care, reduce costs, and allow fast and reliable analysis in large studies. The model will be designed using Python language for implementing the system, which is very useful for doctors, classifying the Alzheimer's Disease, was used. The model used 70% from image for training and 30% from image for validation, our trained model achieved an accuracy of 100% on a held-out test set. (shrink)

Abstract: Fruits are a rich source of energy, minerals and vitamins. They also contain fiber. There are many fruits types such as: Apple and pears, Citrus, Stone fruit, Tropical and exotic, Berries, Melons, Tomatoes and avocado. Classification of fruits can be used in many applications, whether industrial or in agriculture or services, for example, it can help the cashier in the hyper mall to determine the price and type of fruit and also may help some people to determining whether (...) a certain type of fruit meets their nutritional requirement. In this paper, machine learning based approach is presented for classifying and identifying 10 different fruit with a dataset that contains 6847 images use 4793 images for training, 1027 images for validation and 1027 images for testing. A deep learning technique that extensively applied to image recognition was used. We used 70% from image for training and 15% from image for validation 15% for testing. Our trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. (shrink)

This article contends that the environmental release of genetically engineered (GE) animals with heritable traits that are patented will present a challenge to the efforts of nations and indigenous peoples to engage in self‐determination. The environmental release of such animals has been proposed on the grounds that they could function as public health tools or as solutions to the problem of agricultural insect pests. This article brings into focus two political‐economic‐legal problems that would arise with the environmental release of (...) such organisms. To address those challenges, it is proposed that nations considering the environmental release of GE animals must take into account the underlying circumstances and policy failures that motivate arguments for the use of the modified animals. Moreover, countries must recognize that the UN International Covenant on Civil and Political Rights and the UN International Covenant on Economic, Social and Cultural Rights place on them an obligation to ensure that GE animals with patented heritable traits are not released without the substantive consent of the nations or indigenous peoples that could be affected. (shrink)

Local participation is always beneficial for sustainable action and environmental problems resulting from urban implementation due to the failure of social and institutional change necessary for a successful transformation of rural life to urban life ahead of the rapid movement of the population. Despite good legal practice and comprehensive guidelines, evidence suggests that Environmental Impact Assessment (EIA) or more broadly Environmental, Social and Health Impact Assessment (ESHIA) have not yet been found satisfactory in Nigeria, as the current system amounts (...) to duplication of efforts and cost. However, ESHIA has been developed and integrated to help manage project activities, facilities, and operations sustainably, so that both economic and ecological profits are accrued (sustainable development) or ensure that any development project does not result in excessive deterioration of and/or the irreversible adverse effect on any component of the environment – a recite for sustainable development. A literature review was done by using a variety of search engines including Research Gate, Google Scholar, Academia, Mendeley, SSRN search strategy to retrieve research publications, “grey literature” and expert working group reports. The thrust of this study is to evaluate the potential benefits of ESHIA as a tool for sustainable environmental development. The evaluation and implementation of EIA are one of the strengths of these tools. Indeed, EIA is the first and foremost management tool employed to help mitigate adverse, potential, and associated impacts of proposed major developments in our environment. EIA is a regulatory requirement that is efficiently used to improve performance, project design, enhancing decision-making, and facilitating policy programs in a sustainable environment. An evaluation of the EIA systems reveals several weaknesses of the EIA system. These include the inadequate capacity of EIA approval authorities, deficiencies in screening and scoping, poor EIA quality, insufficient public participation, and weak monitoring, and erratic government policies. Overall, most EIA study rarely meets the objectives of being a project planning tool to contribute to achieving sustainable development and mitigate the impact of the development project. The study recommends some directions for the future to ensure that entire content of the EIA are religiously implemented, review the existing EIA act, increase the expertise of EIA consultants, create a liaison office with an international organisation and with sister agency, ESHIA must enjoy Improved budgetary provision, time latitude, spatial contexts and methodological improvements for outcome measures to achieve results that are relevant to sustainable development by improving project design, enhancing decision making and facilitating policy programs. (shrink)

„Errors are the greatest obstacles to the progress of science; to correct such errors is of more practical value than to achieve new knowledge,“ asserted Eugen Bleuler. Basic error of several prevailing classification schemes of pathological conditions, as for example ICD-10, lies in confusing and mixing symptoms with diseases, what makes them unscientific. Considering the need to bring order into the chaos and light into terminological obscureness, I introduce the Causal classification of diseases originating from the notion of (...) bodily wholeness and causality of its loss. (shrink)

Integrating medical imaging with computing technologies, such as Artificial Intelligence (AI) and its subsets: Machine learning (ML) and Deep Learning (DL) has advanced into an essential facet of present-day medicine, signaling a pivotal role in diagnostic decision-making and treatment plans (Huang et al., 2023). The significance of medical imaging is escalated by its sustained growth within the realm of modern healthcare (Varoquaux and Cheplygina, 2022). Nevertheless, the ever-increasing volume of medical images compared to the availability of imaging experts. Biomedical experts (...) and radiologists have resulted in a widening disparity, causing an excess and overwhelming workload on these healthcare professionals (Chen et al., 2021). Several studies indicate that the present-day biomedical radiologist is now saddled with the daunting task of interpreting an image almost every 10 seconds to keep pace with the burgeoning clinical demands (McDonald et al., 2015; Hosny et al., 2018; Lantsman et al., 2022). This cognitive drain has invariably led to inevitable consequences such as delays in diagnosis and an amplified risk of diagnostic errors – thus, the biomedical imaging aspect is in dire need of methods that would aid accurate diagnostics and analytics for improved decision making. In this review, the importance of AI-related technologies such as ML and/or DL methods are reviewed in relation to the processing of medical or biomedical images along with their potentials, challenges, and possible suggestions for future studies in the health landscape. The focus will be on machine learning methods associated with the medical field of image classification. (shrink)

It is widely known that Black people are significantly more likely to be killed by the police in the United States of America than white people. What is less widely known is that nearly half of all people killed by the police are disabled people. The aim of this paper is to better understand the intersection of racism and ableism in the USA. Contributing to the growing literature at the intersection of philosophy of disability and critical philosophy of race, (...) I argue that theories concerning white supremacy should take more seriously the ways in which it functions as a process and apparatus of making abled and disabled. I conclude by discussing how understanding white supremacy in this manner is a valuable coalitional tool in fights for social justice more generally. (shrink)

Liminal Bodies, Reproductive Health, and Feminist Rhetoric presents composition professor Lydia McDermott's "sonogram" methodology of rhetorical listening, an exercise that discloses feminine voices muted or unjustly disciplined within texts ostensibly written on women's behalf. The texts examined by McDermott range from eighteenth-century pregnancy manuals to speeches by Favorinus, the ancient sophist, who is described from antiquity as a hermaphrodite. Part of McDermott's purpose in sonogramming is to critique modern and contemporary feminists. She objects to the feminist trend of perpetuating (...) and answering a "disability" rhetoric about women, or of demonstrating that women can overcome a... (shrink)

In this paper, I argue that what counts as the proper function of a trait is a matter of the de facto perspective that the biological system, itself, possesses on what counts as proper functioning for that trait. Unlike non-perspectival accounts, internal perspectivalism does not succumb to generality problems. But unlike external perspectivalism, internal perspectivalism can provide a fully naturalistic, mind-independent grounding of proper function and natural norms. The attribution of perspectives to biological systems is intended to be neither metaphorical (...) nor anthropomorphic: I do not mean to imply that such systems thereby must possess agency, cognition, intentions, concepts, or mental or psychological states. Instead, such systems provide the grounding for norms of performance when they internally enforce their own standard of (i.e., their own perspective on) what constitutes proper functioning or malfunctioning. By operating with a fixed, determinate level of generality, such systems provide the basis for an account of proper function that is immune to generality problems. (shrink)

Numerous research groups are now utilizing Basic Formal Ontology as an upper-level framework to assist in the organization and integration of biomedical information. This paper provides elucidation of the three existing BFO subcategories of realizable entity, namely function, role, and disposition. It proposes one further sub-category of tendency, and considers the merits of recognizing two sub-categories of function for domain ontologies, namely, artifactual and biological function. The motivation is to help advance the coherent ontological treatment of functions, roles, and dispositions, (...) to help provide the potential for more detailed classification, and to shed light on BFO’s general make-up and use. (shrink)

The volume provides an updated perspective on international aspects of various developments in media and culture. It includes discussions on how the digital environment contributes to the transformation and re-interpretation of existing phenomena, such as violence-on-demand in online movies, the internet appeal of virtual gangsta rappers, or the revived battle rap tradition, which operates outside the commercial limitations of the music industry and generates more views on social media than most recording artists. -/- The book offers a new consideration (...) of long-term trends and developments, and demonstrates in various examples how formerly marginal practices like gaming or the previously shunned Turkish movie industry have turned into influential tools of social change. In addition, the reciprocity of media content and political settings is underlined in a focus on the Arab world and the reconstruction of impulses from transnational media outlets to recent forms of citizen journalism, as well as in the case of governments’ approaches to media policy in response to the COVID-19 pandemic. The book places the spotlight on pressing issues, such as the ongoing enforcement of information control in the name of public health or the local politics and practices that hinder the process of democratization in authoritarian systems. -/- . (shrink)

In this essay, we suggest practical ways to shift the framing of crisis standards of care toward disability justice. We elaborate on the vision statement provided in the 2010 Institute of Medicine (National Academy of Medicine) “Summary of Guidance for Establishing Crisis Standards of Care for Use in Disaster Situations,” which emphasizes fairness; equitable processes; community and provider engagement, education, and communication; and the rule of law. We argue that interpreting these elements through disability justice entails a commitment (...) to both distributive and recognitive justice. The disability rights movement's demand “Nothing about us, without us” requires substantive inclusion of disabled people in decision‐making related to their interests, including in crisis planning before, during, and after a pandemic like Covid‐19. (shrink)

Abstract: In this study, we explore the possibility of classifying the plant species. We collected the plant species from Kaggle website. This dataset encompasses 544 samples, encompassing 136 distinct plant species. Recent advancements in machine learning, particularly Artificial Neural Networks (ANNs), offer promise in enhancing plant Species classification accuracy and efficiency. This research explores plant Species classification, harnessing neural networks' power. Utilizing a rich dataset from Kaggle, containing 544 entries, we develop and evaluate a neural network model. Our (...) neural network, featuring a single hidden layer, achieves remarkable results—a staggering 100% accuracy and a minute average error rate of 0.002. Beyond performance metrics, we delve into the intricacies of plant Species classification through feature importance analysis. The most influential features— Vegsout, durflow, semiros, pdias, begflow, wind, leafy, autopoll and insects— uncover the physiological traits underpinning accurate rice classification. This research contributes to advancing rice classification methods and highlights the potential of ANNs in optimizing agricultural practices, ensuring plant safety, and bolstering global trade. (shrink)

Abstract: This research employs a Random Forest classification model to predict and assess obesity and cardiovascular disease (CVD) risk based on a comprehensive dataset collected from individuals in Mexico, Peru, and Colombia. The dataset comprises 17 attributes, including information on eating habits, physical condition, gender, age, height, and weight. The study focuses on classifying individuals into different health risk categories using machine learning algorithms. Our Random Forest model achieved remarkable performance with an accuracy, F1-score, recall, and precision all (...) reaching 97.23%. The model's success is attributed to its ability to effectively leverage attributes related to eating habits, physical condition, and demographic factors. Feature importance analysis reveals key factors contributing to accurate predictions. This paper contributes to the field of health analytics by demonstrating the effectiveness of Random Forest in predicting and categorizing health risks. The insights gained from this research have the potential to inform personalized health interventions and contribute to the advancement of precision health strategies. Furthermore, the study highlights the importance of leveraging machine learning techniques for health risk assessment in diverse populations. (shrink)

A pineapple is a tropical plant with eatable leafy foods most monetarily critical plant in the family Bromeliaceous. The pineapple is native to South America, where it has been developed for a long time. The acquaintance of the pineapple with Europe in the seventeenth century made it a critical social symbol of extravagance. Since the 1820s, pineapple has been industrially filled in nurseries and numerous tropical manors. Further, it is the third most significant tropical natural product in world creation. In (...) the twentieth century, Hawaii was a prevailing maker of pineapples, particularly for the US, be that as it may, by 2016, Costa Rica, Brazil, and the Philippines represented almost 33% of the world's creation of pineapples. In this paper, machine learning based approach is presented for identifying type pineapple with a dataset that contains 1,311images use 946 images for training, 197 images for validation and 168 images for testing. A deep learning technique that extensively applied to image recognition was used. use 70% from image for training and 30% from image for validation. Our trained model achieved an accuracy of 100% on a heldout test set. (shrink)

American Sign Language, or ASL as its acronym is commonly known, is a fascinating language, and many people outside of the Deaf community have begun to recognize its value and purpose. It is a visual language consisting of coordinated hand gestures, body movements, and facial expressions. Sign language is not a universal language; it varies by country and is heavily influenced by the native language and culture. The American Sign Language alphabet and the British Sign Language alphabet are completely contrary. (...) Fingerspelling is one-handed in ASL and two-handed in BSL, with the exception of the letter C. AI technologies, particularly deep learning, can play an important role in breaking down communication barriers between deaf or hearing-impaired people and other communities, significantly contributing to their social inclusion. Recent advances in sensing technologies and AI algorithms have paved the way for the development of a wide range of applications aimed at meeting the needs of the deaf and hearing-impaired communities. To that end, the purpose of this paper is By attempting to translate sign language using artificial intelligence algorithms, we focused in this paper on a transfer learning technique based on deep learning using a ResNet algorithm and compared it to previous papers in which we used VGG19[1]and mobileNet [2], where we get in the ResNet algorithm on the degree of Accuracy 93,48% e number of images (43500 in the dataset in size 64*64 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

This entry discusses the relationship between disability and well‐being. Disabilities are commonly thought to be unfortunate, but whether this is true is unclear, and, if it is true, it is unclear why it is true. The entry first explains the disability paradox, which is the apparent discrepancy between the level of well‐being that disabled people self‐report, and the level of well‐being that nondisabled people predict disabled people to have. It then turns to an argument that says that disabilities (...) must be bad, because it is wrong to cause them in others. Later sections discuss whether disabilities might be intrinsically bad or even bad by definition. The final section addresses the claim that disabilities are bad only because society discriminates against people with disabilities. (shrink)

Japanese bioethics has created a variety of important ideas that have not yet been reflected on mainstream bioethics discourses in the English-speaking world, which include “the swaying of the confused self” in the field of feminism, “inner eugenic thought” concerning disability, and “human relationship-oriented approaches to brain death.” In this paper, I will examine them more closely, and consider what bioethics in Japan can contribute to the development of an international discussion on philosophy of life.

The objective of the paper is to explore the issue that despite the absence of adequate formal and systematic ways for the poor and disadvantaged people to get access to health benefit like in a rich liberal society, there are active social customs, feelings and individual and collective responsibilities among the people that help the disadvantaged and poor people to have access to the minimum health care facility in both liberal and non-liberal poor countries. In order to explain (...) the importance and functional contribution of the social norms in this respect, some examples will be illustrated from Bangladesh which is a poor liberal country. There will be two sections of the paper. In the first section, it will be exhibited how the naturally and socially disadvantaged people in a liberal society get benefit following Rawls‟ theory of distributive justice. In the second section, it will be showed that in a poor country where there are less resources of the government to provide enough services to the poor and disadvantaged people, the communal feelings and the informal social institutions play a vital role that helps the disadvantaged and poor people to get access to the health benefit. The traditional social norms impose indirect sanction on its people to come forward to help the worse off people of the country. It is depicted that Rawlsian theory of distribution does not work properly in these countries, rather the communitarian feelings is more welcomed for the benefit of the overall welfare of the society and this will be shown in the conclusion of the paper. (shrink)

Nietzsche assesses values, moralities, religions, cultures, and persons in terms of health. He argues that we should reject those that are unhealthy and develop healthier alternatives. But what is Nietzsche’s conception of health, and why should it carry such normative force? In this paper I argue for reading Nietzsche’s concept of health as the overall ability to meet the demands of one’s motivational landscape. I show that, unlike other interpretations, this reading accounts for his rejection of particular (...) features of a prevailing, then as now, model of health; for his association of health with strength and with psychic unity; and for his claim that health is compatible with, and can even be enhanced by, functional impairments such as those from which he personally suffered. Throughout I draw connections to recent literature on health and disability. (shrink)

Students do not necessarily use the definitions presented to them when determining examples or non-examples of given mathematical ideas. Instead, they utilize the concept image they carry with them as a result of experiences with such examples and nonexamples. Hence, teachers should try exploring students‟ images of various mathematical concepts in order to improve communication between students and teachers. This suggestion can be addressed through error analysis. This study therefore is a descriptive-qualitative type that looked into the errors committed by (...) senior high school students in dealing with mathematical functions, explored the underlying reasons for such errors, and provided recommendations on how students could learn to manage their errors and how teachers could realize how to manage students‟ errors. Initial findings showed that the students generally demonstrated mathematical, logical and strategic errors. Mathematical error was generally exhibited in their inability to use properties and operations properly. Logical error was exhibited in their false arguments, rearranging concepts, improper classifications, arguing cyclically, and using equivalent transforms. Strategic error was manifested in their not being able to distinguish patterns, lack of integral concept, and not being able to transform a word problem into symbols. Errors prevailed despite the students‟ positive view and confidence in mathematics not only because of poor image concepts but because of lack of exposure to certain important mathematical tasks. Further investigation on the other sources of these errors is therefore necessary. (shrink)

Unlike his theory of justice as fairness, John Rawls’s political liberalism has generally been spared from critiques regarding what is due to the disabled. This paper demonstrates that, due to the account of the basic ideas of society and persons provided by Rawls, political liberalism requires that the interests of numerous individuals with disabilities should be put aside when the most fundamental issues of justice are settled. The aim is to accommodate within public reason the due concern for the disabled (...) while upholding political liberalism. To achieve this aim, a revision of the basic ideas of persons and society is proposed. The idea of persons should be regarded as more fundamental than that of social cooperation, and persons should be defined in terms of minimal moral powers. (shrink)

Abstract: Public procurement is the acquisition of right goods, works and services required to satisfy certain needs at the right time, from the right supplier, in the right quantities, in the right quality, and at the right price. Worldwide it accounts 10% – 30 % of GNP while in Tanzania it accounts for about more 45% of the total budget. Appropriate procurement system in the public sector is a tool for achieving political, economic and social goals. The research examined the (...) impact of the capacity building on the performance of LGAs procurement function, was conducted in Tanzania to the four regions in 2018, comprised a sample size of 224 respondents from eight Local Government Authorities (LGAs). Qualitative and quantitative data were collected, employed the case study method intended to the Evaluate Assessment of Capacity Building Programme on the Performance of LGAs procurement functions. The study revealed that procurement functions have improved because of the intervention of capacity building such as the improvement of the; Use and application of PPA and PPR, use and application of Procurement Planning, use and application of Contract Management and Administration, use procurement record keeping and reporting, use and application of PMIS & Other Procurement Systems, appropriate Tendering Process. Also, the researchers have revealed challenges hindering LGAs procurement system such as; lack training, unpredictable funds flow and political interference. Moreover, based on the contributions attributed by the capacity building further research can be undertaking to measure the impact of capacity building in the other areas apart from procurement field such as; health, agriculture, good governance and so on. In addition to that, another research can be undertaken to assess the factors hindering the performance of LGAs procurement system. (shrink)

Who is recognised as a philosopher and what counts as philosophy influence both the content of a philosophical education and academic philosophy’s continuing demographic skew. The “philosophical who” and the “philosophical what” themselves are a partial function of matters that have been passed over in collective silence, even if that now feels to some like a silence belonging to the distant past. This paper discusses some philosophical silences regarding race, gender, and disability in the context of reflection on philosophical (...) education and on philosophical practice in the public sphere. It focuses on Charles Mills’ writings on race, Susan Babbitt’s on race and gender, and on more collaboratively-generated work on eugenics and disability. (shrink)

One challenge in providing an adequate definition of physical disability is unifying the heterogeneous bodily conditions that count as disabilities. We examine recent proposals by Elizabeth Barnes (2016), and Dana Howard and Sean Aas (2018), and show how this debate has reached an impasse. Barnes’ account struggles to deliver principled unification of the category of disability, whilst Howard and Aas’ account risks inappropriately sidelining the body. We argue that this impasse can be broken using a novel concept: marginalised (...) functioning. Marginalised functioning concerns the relationship between a person’s bodily capacities and their social world: specifically, their ability to function in line with the default norms about how people can typically physically function that influence the structuring of social space. We argue that attending to marginalised functioning allows us to develop, not one, but three different models of disability, all of which—whilst having different strengths and weaknesses—unify the category of disability without sidelining the body. (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)

The chapter deals with the notion of phenomenal realness, which was first systematically explored by Albert Michotte. Phenomenal realness refers to the impression that a perceptual object is perceived to have an autonomous existence in our mind-independent world. Perceptual psychology provides an abundance of phenomena, ranging from amodal completion to picture perception, that indicate that phenomenal realness is an independent perceptual attribute that can be conferred to perceptual objects in different degrees. The chapter outlines a theoretical framework that appears particularly (...) well-suited for dealing with corresponding phenomena. According to this framework, perception can be understood as a triggering of conceptual forms by sensor inputs. It is argued that the attribute of phenomenal realness is based on specific types of internal evaluation functions which deal with the segregation of causes conceived as ‘external’ from those conceived as ‘internal’. These evaluation functions integrate different internal sources of ‘knowledge’ about the potential causes for the activation of conceptual forms and provide markers by which conceptual forms can be tagged as ‘external world objects’. (shrink)

The Axis II Work Group of the Task Force on Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) has expressed concern that antisocial personality disorder (APD) criteria are too long and cumbersome and that they focus on antisocial behaviors rather than personality traits central to traditional conceptions of psychopathy and to international criteria. R. D. Hare et al describe an alternative to the approach taken in the DSM-III—Revised (DSM-III—R; American Psychiatric Association, 1987), namely, the revised Psychopathy Checklist. The authors (...) also discuss the multisite APD field trials designed to evaluate and compare 4 criteria sets: the DSM-III—R criteria, a shortened list of these criteria, the criteria for dyssocial personality disorder from the 10th edition of the International Classification of Diseases (World Health Organization, 1990), and a 10-item criteria set for psychopathic personality disorder derived from the revised Psychopathy Checklist. (PsycINFO Database Record (c) 2015 APA, all rights reserved). (shrink)

Abstract—Smart homes and Wireless Home Automation Networks (WHAN) face several challenges in terms of cost, scalability, reliability, delay, energy consumption and many others. Smart homes typically have huge number of communicating devices. Efficient management of network resources is a major challenge in such environments. This paper provides insights on how to improve the MAC layer in smart home networks to fulfil the requirements of the different smart home applications. It provides a classification of the different smart home applications and (...) identifies the main requirements and challenges regarding the MAC layer in this environment. It also provides insights for MAC protocols designers by highlighting the main issues in designing MAC schemes for smart home environment. Based on the analysis, the paper highlights adaptability as the most critical and challenging feature for smart home MAC protocols. (shrink)

The peritoneum is the largest serous membrane in the body that covers the inner side of the abdominal wall and reflects over the abdominal viscera. Though the visceral peritoneum accounts for roughly four-fifth of the total surface area of the membrane, but the parietal peritoneum is the more important for peritoneal dialysis. Between the parietal and visceral layer of peritoneum there is potential space called peritoneal cavity, contain small amount of serous fluid. If dialysates remain more or less than normal (...) in the peritoneal cavity that may cause edema or hypovolemic shock. Hence transport across the peritoneal membrane need great attention to the nephrologist during dialysis. Solute and water transport from blood to peritoneal cavity by diffusion and osmic ultra-filtration whereas absorption to the blood via lymphatic has negatively affect between these two process. Another important thing that the peritoneum is lined by mesothelium. Therefore, primary complication of peritoneal dialysis is infection due to the presence of a permanent tube in the abdominal cavity. Mortality is higher in the elderly and if present in prolonged time. Peritoneal sclerosis is a fetal complication due to growth of a thick layer of fibrin within the peritoneum, in where every chance of the bowel obstruction. The fluids contain glucose for dialysis use as a primary osmotic agent but this may lead to peritonitis. The decline of kidney and peritoneal membrane function and negative health outcome. It is important to be aware about the sex difference of peritoneal membrane during dialysis. Retrograded menstruation may occur in any women as there is continuity of peritoneal membrane with the fallopian tube. If goes undetected will cause bloody dialysate and create concern of the patients. Therefore, anatomy of peritoneal membrane and its function has great value during peritoneal dialysis and thereby effecting its therapeutic efficacy. (shrink)

Since the completion of the human genome project in 2003, genomic sequencing, analysis, and interpretation have become staples of research in medicine and the life sciences more generally. While much ink has been spilled concerning genomics’ precipitous rise, there is little agreement among scholars concerning its meaning, both in general and with respect to our current moment. Some claim genomics is neither new, nor noteworthy; others claim it is a novel and worrisome instrument of newgenics. Contrary to the approaches of (...) Foucault scholars in both camps, in this paper I utilize research in philosophy of disability to argue that genomics is indeed noteworthy as a unique form of biopower and that its primary function is to precisify impairments in contradistinction to disability. I call the force at play in this process genopower. (shrink)

Even when brain scans fail to detect a striate lesion, functional evidence for blindsight can be adduced. In the aftermath of an automobile accident, JK became blind. Results of ophthalmic exams indicated that the blindness must be cortical. Nevertheless, multiple MRI scans failed to detect structural damage to the striate cortex. Prior to the accident JK had been an athlete; after the accident he retained some athletic abilities, arousing suspicions that he might be engaged in fraud. His residual athletic abilities—e.g., (...) hitting a handball or baseball, or catching a Frisbee—coupled with his experienced blindness, suggested blindsight. But due to the apparent absence of striate lesions, we designed a series of tasks for temporal and spatial dimensions in an attempt to detect functional evidence of his disability. Indeed, test results revealed compelling neural evidence that comport with his subjective reports. This spatiotemporal task-related method that includes contrasts with healthy controls, and detailed understanding of the patient's conscious experience, can be generalized for clinical, scientific and forensic investigations of blindsight. -/- . (shrink)

Human consciousness, as dealt with in the Upanishads, modeled as a mechanical oscillator of infrasonic frequency (the Atman/Brahman), the result of breathing process, is further advanced to get an insight of functions of mind. An analytical approach is followed in parallel to and separette from quantum mechanical, quantum field and other theoretical propositions, approaches and presentations. Pure consciousness, unoccupied awareness and occupied awareness are identified, defined, classified and discussed together with fresh insight about time-space and time. A reversible transformation (vivartanam) (...) of virtual mental energy reflection (maya), creating various consequential / parallel / simultaneous conscious-states, phases, cognitive and communicative states, modes of language acquisition and communication, and kinds of function of human mind, which forms and facilitates human mental acquisitions, functions and communications, is proposed and discussed. Alternative analytical insight of human consciousness and mental functions to other theoretical approaches is given. All this is presented in brain wave modulation / demodulation terms. -/- . (shrink)

Is shadowboxing an effective form of functional exercise? What physiological and morphological changes result from an exercise program based exclusively on shadowboxing for 3 weeks? To date, no empirical research has focused specifically on addressing these questions. Since mixed martial arts (MMA) is the fastest growing sport in the world, and since boxing and kickboxing fitness classes are among the most popular in gyms and fitness clubs worldwide, the lack of research on shadowboxing and martial arts-based fitness programs in the (...) extant literature is a shortcoming that the present article aims to address. This case study involved a previously sedentary individual engaging in an exercise program based exclusively on shadowboxing for 3 weeks. Body composition and heart rate data were collected before, throughout, and upon completion of the 3-week exercise program to determine the effectiveness of shadowboxing for functional fitness purposes. An original shadowboxing program prepared by an Everlast Master Instructor and NASM Certified Personal Trainer (NASM-CPT) and Performance Enhancement Specialist (NASM-PES) was used for this 3-week period. The original shadowboxing program with goals, techniques, and combinations to work on throughout the 3-week program is included in this article. This case study demonstrates that a 3-week exercise program based exclusively on shadowboxing can increase aerobic capacity, muscle mass, bone mass, basal metabolic rate, and daily calorie intake, and decrease resting heart rate, fat mass, body fat percentage, and visceral fat rating in a previously sedentary individual. The results of this research demonstrate that shadowboxing can be a safe and effective form of exercise leading to morphological and physiological improvements including fat loss and increased aerobic capacity. The results of this research also demonstrate that the Tanita BC-1500 is a reliable tool for individuals to evaluate their own fitness progress over time. (shrink)