This Article doDespite obvious differences in the Aristotelian and Stoic theories of responsibility, there is surprisingly a deeper structural similarity between the two. The most obvious difference is that Aristotle is (apparently) a libertarian and the Stoics are determinists. Aristotle holds adults responsible for all our "voluntary" actions, which are defined by two criteria: the "origin" or cause of the action must be "in us" and we must be aware of what we are doing. An "involuntary" action, for which we (...) are not responsible, is one that fails to meet either one of these two criteria. Aristotle is a libertarian insofar as he insists that all voluntary actions are "in our power" to perform or not. As determinists the Stoics cannot admit this sort of freedom, but they still consider the agent to be a vital link in the chain of events, so they redefine what is "in our power" as what comes about "through us." The terminology is different, but I argue that these actions, for which the Stoics hold us responsible, are in fact coextensive with Aristotle's voluntary actions. An "impression" is the first necessary condition for action, and is a sort of visual image of the object stimulating one to act. The right sort of impression activates the agent's "impulse," an internal movement of soul or mind, which is the direct cause of action. But impulse is always accompanied by "assent," which is the mind's affirming the truth of the proposition that we ought to go after the object stimulating our impulse. Thus, since assent is a necessary condition for action, we always act knowing what we are doing. This means that all actions caused by our own impulse and assent are by Aristotle's criteria voluntary, where impulse provides the internal origin of the action and assent provides the awareness of what is being done. I conclude that the Stoic and Aristotelian classes of what one is responsible for are coextensive, their criteria defining responsible actions are nearly identical, and the only substantial difference is that Aristotle claims such actions are in our power to do or not do while the Stoics say that such actions are necessitated (by our internal nature as well as external factors). es not have an abstract. (shrink)

Abstract: This study tries to establish the microfinance and financial inclusion nexus in Nigeria from 1981 to 2017. The Augmented Dickey-Fuller (ADF) test, co-integration test and Error Correction Model (ECM), as well as diagnostics and stability test were employed in the analysis. The research findings revealed that microfinance has positive significant effect on financial inclusion in Nigeria in the short–run and long–run. This finding is in line CBN objectives for the establishment of microfinance banks. The effect of lending interest rate (...) has a positive but has no significant with financial inclusion in the model one while it is statistically significant with poverty in Nigeria in the mode two. The positive lending interest rate has a statistically significant effect on the level of financial inclusion and national poverty index used as a proxy for poverty rate in the long run in the models. Also, the research also found that microfinance has really a tool to fight against poverty in Nigeria in the short-run, while it’s not really a tool to fight against poverty in the long-run in Nigeria. It was therefore recommended that Government agency and regulatory authority policies and practices need to play a key role in making micro-credit available to the economically-active poor people who are not being served by the formal financial sector. Also, apart from monitoring lending interest rates, the government needs to establish frameworks to prevent undercapitalization, fraudulent practices, and unwarranted interference from bank board members in Nigeria. (shrink)

Buscando apresentar uma interpretação para EN I 4 1095a31-b13, este artigo defende que a digressão nela feita por Aristóteles pretende caracterizar a investigação recém iniciada como promissora, opondo-a, ainda que não explicitamente, ao modo rígido socrático-platônico de fazer Ética ou Política. Para tanto, propõe-se uma interpretação pouco usual do termo que como o princípio buscado e não como ponto de partida da investigação. Recusa-se igualmente ver na passagem mencionada uma referência ao modo ou etapas de aquisição de virtude moral ou (...) prudência, mas de um corpo preciso de conhecimento ou ciência, a Ética ou Política. (shrink)

The study focuses on hair growth promotion skills for hair dressers and nutrition requirements for hair growth of females in Umunneochi local government area (LGA) of Abia State. Specifically, the study aimed to examine the practices that promote human hair growth, assess the importance of human hair growth, determine the effect of poor nutrition on hair and identify the skills of hairdressers to promote hair growth. The study adopted a descriptive research design. Population for the study was 2,800. Sample for (...) the study was 200 using a multistage sampling techniques involving simple random sampling and purposive sampling techniques. The instrument for data collection was a questionnaire. Data collected were analyzed using mean. The result of the study examined six practices that promote human hair growth, six importance of human hair, eight effects of poor nutrition on hair and eleven hairdressers’ skills were identified. It was suggested that adolescents and mothers should be encouraged to eat recommended diets to suit their age; they should maintain a good hairdresser; and they should consult a dermatologist at regular intervals and follow their advice. (shrink)

The purpose of this study was to identify the challenges in teaching and learning of Macramé household crafts and develop a suitable instructional manual for teaching macramé household crafts in tertiary institutions in Abia State, Nigeria. The study adopted Research and development (R and D) method. The study area was tertiary institutions in Abia State. Eighteen lecturers and forty-one students formed the population for the study making a total of fifty-nine subjects. Data obtained from the study through a well-structured questionnaire (...) were analysed using mean and standard deviation while the hypotheses were tested using Mann-Whitney-Wilcoxon Test. The result revealed seven challenges being encountered in teaching crafts in the institutions. The study also showed that out of the fourteen challenges identified, thirteen challenges were encountered by students in the institutions while learning macramé household crafts. Overall, the study shows that no statistically significant difference exists between the challenges encountered in teaching and learning of macramé household crafts in tertiary institutions in Abia State, hence the need for an improvement. The study further developed and examined an instructional manual for teaching macramé household crafts which the lecturers confirmed will help in improving the teaching and learning of macramé crafts. All the null hypotheses were accepted, meaning that there is no statistically significant difference between the mean responses of Home Economics lecturers in both the Universities and those in the College of Education. (shrink)

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

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

In this study, screening positive for probable depression was common among undergraduate students at the University of the Witwatersrand, Johannesburg, South Africa and associated with sociodemographic and selected behavioral factors. These findings call for strengthening the awareness and use of counselling services among undergraduate students.

Phenomenology gives rise to certain ontological considerations that have far-reaching implications for standard conceptions of patient autonomy in medical ethics, and, as a result, the obligations of and to patients in clinical decision-making contexts. One such consideration is the phenomenological reduction in classical phenomenology, a core feature of which is the characterisation of our primary experiences as immediately and inherently meaningful. This paper builds on and extends the analyses of the phenomenological reduction in the works of Husserl, Heidegger, and Merleau-Ponty (...) in order to identify and explain its implications for our current understanding of the principle of respect for patient autonomy and the norms of clinical decision making. (shrink)

This paper has three main goals. First, to motivate a puzzle about how ignorance-expressing terms like maybe and if interact: they iterate, and when they do they exhibit scopelessness. Second, to argue that there is an ambiguity in our theoretical toolbox, and that exposing that opens the door to a solution to the puzzle. And third, to explore the reach of that solution. Along the way, the paper highlights a number of pleasing properties of two elegant semantic theories, explores some (...) meta-theoretic properties of dynamic notions of meaning, dips its toe into some hazardous waters, and offers characterization theorems for the space of meanings an indicative conditional can have. (shrink)

When a computer system causes harm, who is responsible? This question has renewed significance given the proliferation of autonomous systems enabled by modern artificial intelligence techniques. At the root of this problem is a philosophical difficulty known in the literature as the responsibility gap. That is to say, because of the causal distance between the designers of autonomous systems and the eventual outcomes of those systems, the dilution of agency within the large and complex teams that design autonomous systems, and (...) the impossibility of fully predicting how autonomous systems will behave once deployed, determining who is morally responsible for harms caused by autonomous systems is unclear at a conceptual level. I review past work on this topic, criticizing prior works for suggesting workarounds rather than philosophical answers to the conceptual problem presented by the responsibility gap. The view I develop, drawing on my earlier work on vicarious moral responsibility, explains why computing professionals are ethically required to take responsibility for the systems they design, despite not being blameworthy for the harms these systems may cause. (shrink)

The theoretical foundations of climate science have received little attention from philosophers thus far, despite a number of outstanding issues. We provide a brief, non-technical overview of several of these issues – related to theorizing about climates, climate change, internal variability and more – and attempt to make preliminary progress in addressing some of them. In doing so, we hope to open a new thread of discussion in the emerging area of philosophy of climate science, focused on theoretical foundations.

When we encounter extremist rhetoric, we often find it dumbfounding, incredible, or straightforwardly unintelligible. For this reason, it can be tempting to dismiss or ignore it, at least where it is safe to do so. The problem discussed in this paper is that such dismissals may be, at least in certain circumstances, epistemically unjust. Specifically, it appears that recent work on the phenomenon of hermeneutical injustice compels us to accept two unpalatable conclusions: first, that this failure of intelligibility when we (...) encounter extremist rhetoric may be a manifestation of a hermeneutical injustice; and second, that remedying this injustice requires that we ought to become more engaged with and receptive of extremist worldviews. Whilst some theorists might interpret this as a reductio of this framework of epistemic in/justice, we push back against this conclusion. First, we argue that with a suitably amended conception of hermeneutical justice—one that is sensitive to the contextual nature of our hermeneutical responsibilities, and to the difference between understanding a worldview and accepting it—we can bite the bullet and accept that certain extremists are subject to hermeneutical injustice, but without committing ourselves to any unpalatable conclusions about how we ought to remedy these injustices. Second, we argue that bringing the framework of hermeneutical in/justice to bear upon the experience of certain extremists actually provides a new and useful perspective on one of the causes of extremism, and how it might be undermined. (shrink)

Abstract: Lemons are an important fruit that have a wide range of uses and benefits, from culinary to health to household and beauty applications. Deep learning techniques have shown promising results in image classification tasks, including fruit quality detection. In this paper, we propose a convolutional neural network (CNN)-based approach for detecting the quality of lemons by analysing visual features such as colour and texture. The study aims to develop and train a deep learning model to classify lemons based on (...) their quality, evaluate the model's performance, compare it to traditional machine learning approaches, and identify key factors that affect the model's performance. The dataset used in the study consists of approximately 2533 images of lemons and an empty surface, divided into training, test, and validation data, and includes images of both good and bad quality lemons under different lighting conditions. The deep learning model achieved an accuracy of 99.74% on the test dataset and outperformed traditional machine learning approaches. The developed model has the potential to improve efficiency and accuracy in lemon quality control in the agriculture and food industry. (shrink)

Contemporary republicans have adopted a less-than-charitable attitude toward private beneficence, especially when it is directed to the poor, worrying that rich patrons may be in a position to exercise arbitrary power over their impoverished clients. These concerns have led them to support impartial public provision by way of state welfare programs, including an unconditional basic income (UBI). In contrast to this administrative model of public welfare, I will propose a competitive model in which the state regulates and subsidizes a decentralized (...) and nonstatist provision of support for the poor. This model will fix the historically objectionable features of private provision by having the state prevent collusion among private charities, deliver information to recipients about alternative sources of assistance, and give substantial grants to charities as well as tax incentives and vouchers to donors. I will contend that such an approach would do a better job of minimizing domination of the poor than traditional welfare states and may prove more politically feasible than a UBI, at least in the near term in certain national contexts. (shrink)

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

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

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

Current debate and policy surrounding the use of genetic editing in humans often relies on a binary distinction between therapy and human enhancement. In this paper, we argue that this dichotomy fails to take into account perhaps the most significant potential uses of CRISPR-Cas9 gene editing in humans. We argue that genetic treatment of sporadic Alzheimer’s disease, breast- and ovarian-cancer causing BRCA1/2 mutations and the introduction of HIV resistance in humans should be considered within a new category of genetic protection (...) treatments. We find that if this category is not introduced, life-altering research might be unnecessarily limited by current or future policy. Otherwise ad hoc decisions might be made, which introduce a risk of unforeseen moral costs, and might overlook or fail to address some important opportunities. (shrink)

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

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

Aristotle’s dialogue Protrepticus is not only his earliest work of ethics but also the root of all his subsequent investigations into ethics. Here we explore the various ways Aristotle retained in memory the contents of the Protrepticus and redeployed them in the Eudemian Ethics, including the common books. Since Aristotle himself does not explicitly acknowledge the foundational significance of the Protrepticus to his later works, our exploration must proceed on the basis of our knowledge of the earlier work, which can (...) then related to comparable passages in the treatises. But the Protrepticus is a lost work, unlike the EE and the EN, in the sense that no medieval manuscripts of it have survived. And so it first needs to be reconstructed on the basis of the streams of reception that deposited information in surviving works by later ancient authors. We begin in part 1 by reviewing the surviving evidence of the Protrepticus before presenting our wider reconstruction and conception of the work as a dialogue in part 2. In part 3, we discuss ideas and arguments in the reconstructed dialogue that are retained and redeployed in the Eudemian Ethics, focussing on the account of intellectual virtues in EE v and the introduction and methodological framework in EE i-ii.1. (shrink)

The study aimed to identify the reality of the use of social networks in the technical colleges in Palestine, where the variables of social networks were included. The analytical descriptive method was used in the study. A questionnaire consisting of (12) items was randomly distributed to college workers Technology in the Gaza Strip. The sample of the study consisted of (205) employees of these colleges. The response rate was 74.5%. The results showed a high degree of approval for the dimensions (...) of the social networks and a relative weight (74.15%) according to the perspective of the employees of the technical colleges in the Gaza Strip. The results of the study showed that there is a high level of social networking areas (site management and Website Content) in the technical colleges in the Gaza Strip. The field of site management ranked first with a relative weight of 74.91%, and second and last (Content Site) with a relative weight (73.38%). The results showed that there were differences between colleges in the use of social networks where the results showed that the most common colleges used these networks (UCAS) and the least used is (GTC). The results showed no differences between male and female employees in the use of social networks in technical colleges. The researchers suggest a number of recommendations, including: the need to raise awareness of the importance of Facebook and other social networking sites, through the holding of courses for employees in technical colleges, and to identify the ways to optimize the use of such sites, and the benefits of this use, and reflected positively on technical colleges. And the adoption of dealing with the various social networking sites as a reality, and the Palestinian and Arab technical colleges, use them in accordance with the objectives of technical colleges. Advise the Department of Technical Colleges to devote time to their presence on social networks to follow the public and respond to their queries. There is a need for the attention of decision-makers in technical colleges in social sites, because they are considered an important and effective means of communication, and the link between beneficiaries and decision-makers. There is a need to promote the use of modern electronic means of work and the need to increase the link of customers to the college through electronic services. (shrink)

One of the many arguments against capital punishment is that execution is irrevocable. At its most simple, the argument has three premises. First, legal institutions should abolish penalties that do not admit correction of error, unless there are no alternative penalties. Second, irrevocable penalties are those that do not admit of correction. Third, execution is irrevocable. It follows that capital punishment should be abolished. This paper argues for the third premise. One might think that the truth of this premise is (...) self-evident. But in his paper “Is the Death Penalty Irrevocable?” Mike Davis argues that it is false: the death penalty is not irrevocable. While Davis’ argument is itself somewhat compelling, it receives additional support from work in the metaphysics of death, specifically the literature on posthumous harm. Strengthened in this way, the argument deserves careful consideration. I begin with a quick sketch of Davis’ argument, then show how the Pitcher-Feinberg theory of posthumous harm enables a more robust argument against the irrevocability of capital punishment, defending their theory of harm against standard objections in the literature. Having established the coherency of the robust argument, I conclude that it nevertheless fails to make the case against irrevocability. This is because it ignores the full set of practical requirements incumbent on legal institutions that wrongly punish someone. (shrink)

Male genital problems and injuries may occur quite simply because of the scrotum and penis are not protected like other organs. Genital problems and injuries normally happen through: recreational activities (like Football, Hooky, biking, basketball), work- related tasks (like contact to irritating chemicals), downhill drop, and sexual activity. A genital injury frequently causes harsh pain that typically disappear fast without causing enduring harm. Home handling is generally all that is required for trivial problems or injuries. Pain, inflammation, staining, or rashes (...) that are coexist with other symptoms might be a source for concern. Genital problems in men is one of the most common problems which requires fast intervention. In this paper we present an expert system that help men diagnose their genital problems and give them the proper treatment. SL5 Object expert system language was used to design and implement this expert system. (shrink)

I wish to defend the claim that given the content and structure of any moral theory we are likely to find palatable, there is no way of uniquely breaking down that theory into either consequentialist or deontological elements. Indeed, once we examine the actual structure of any such theory more closely, we see that it can be classified in either way arbitrarily. Hence if we ignore the metaethical pronouncements often made by adherents of the consequentialist-deontological distinction, we are quickly led (...) to the conclusion that this distinction contributes nothing of consequence to an understanding of moral theory. I will try to show that there are basically two reasons for this. First, what we mean by the terms endemic to the consequentialist-deontological distinction have no unique references to particular states of affairs in actual cases of moral decision making. Hence we may justify any such concrete moral decision by reference to typically consequentialist or deontological reasoning indifferently. Second, scrutiny of actual and viable moral theories reveals a much finer-grained structure than the consequentialist-deontological taxonomy can capture. And it is this structure, rather than simple attention to consequences or principles, that determines practical moral decision making. We would thus do better to develop the richer vocabulary of causes and constituents, goals and effects, states and events (mental, social, or physical). So in the end, the consequentialist-deontological distinction is irrelevant at the normative level of actual moral reasoning, whereas at the metaethical level it crudely schematizes two opposing types of dummy theory, neither of which is convincing, upon reflection, to any practicing moral philosopher. (shrink)

In this paper, I offer a conceptual analysis of fake news. In essence, I suggest analysing this notion as a species of Frankfurtian bullshit. This construal, I argue, allows us to distinguish it from similar phenomena like bad or biased journalism and satire. First, I introduce four test cases. The first three are, intuitively, not cases of fake news, while the fourth one is. A correct conceptual analysis should, hence, exclude the first three while including the fourth. Next, I go (...) through some factors that could explain the difference between the first three cases and the fourth one before I offer my explanation. After that, I propose an analysis of fake news and show that it matches our intuitions about the four test cases. Finally, I consider a possible objection to my proposal. (shrink)

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

Abstract: Fish are important for both nutritional and economic reasons. They are a good source of protein, vitamins, and minerals and play a significant role in human diets, especially in coastal and island communities. In addition, fishing and fish farming are major industries that provide employment and income for millions of people worldwide. Moreover, fish play a critical role in marine ecosystems, serving as prey for larger predators and helping to maintain the balance of aquatic food chains. Overall, fish play (...) a vital role in supporting human well-being and the health of our planet. . Fishes have a lots of types such that: Red Mullet, Sea Bass, Striped Red Mullet and Shrimp. Each of them has its own shape and characteristics that differ from other types. We proposed a system that recognize nine types of fishes using deep learning. We trained the model with a dataset that contain 9000 images that were slit into 6300 images for training, 1350 for validation and 1350 for testing. The proposed model achieved accuracy (99.68%), precision (99.69%), recall (99.68%), and f1-score (99.68%). This indicates that our proposed model can effectively predicate and classify different types of fish with very high accuracy. (shrink)

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

East Asians and Westerners differ in various aspects of perception and cognition. For example, visual memory for East Asians is believed to be more influenced by the contextual aspects of a scene than is the case for Westerners (Masuda & Nisbett, 2001). There are also differences in visual search: for Westerners, search for a long line among short is faster than for short among long, whereas this difference does not appear to hold for East Asians (Ueda et al., submitted). However, (...) it is unclear how these group-level differences originate. To investigate the extent to which they depend upon environment, we tested visual search and visual memory in East Asian immigrants who had lived in Canada for different amounts of time. Recent immigrants were found to exhibit no search asymmetry, unlike Westerners who had spent their lives in Canada. However, immigrants who had lived in Canada for more than two years showed performance comparable to that of Westerners. These differences could not be explained by the general analytic/holistic processing distinction believed to differentiate Westerners and East Asians, since all observers showed a strong holistic tendency for visual recognition. Results instead support the suggestion that exposure to a new environment can significantly affect the particular processes used to perceive a given stimulus. (shrink)

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

Abstract: In this study, we explore the challenge of identifying and preventing diseases in apple trees, which is a popular activity but can be difficult due to the susceptibility of these trees to various diseases. To address this challenge, we propose the use of Convolutional Neural Networks, which have proven effective in automatically detecting plant diseases. To validate our approach, we use images of apple leaves, including Apple Rot Leaves, Leaf Blotch, Healthy Leaves, and Scab Leaves collected from Kaggle which (...) is part from the Plant Village dataset. We generate a comprehensive training dataset using techniques such as image filtering, compression, and generation. Our model achieves impressive accuracy scores for all classes, with an overall accuracy of 99.93% on a dataset of 10,000 labeled images . (shrink)

Abstract: Classifying sea animals is an important problem in marine biology and ecology as it enables the accurate identification and monitoring of species populations, which is crucial for understanding and protecting marine ecosystems. This paper addresses the problem of classifying 19 different sea animals using convolutional neural networks (CNNs). The proposed solution is to use a pretrained MobileNetV2 model, which is a lightweight and efficient CNN architecture, and fine-tune it on a dataset of sea animals. The results of the study (...) show that the fine-tuned MobileNetV2 model is able to achieve an accuracy of 85% on the classification task, which is competitive with the state-of-the-art methods. Additionally, the study also found that data augmentation and regularization techniques such as dropout were important for preventing overfitting and improving the performance of the model. This study demonstrates the potential of using pretrained models and efficient CNN architectures for classifying sea animals, and it provides insights into the challenges and best practices for solving this important problem in marine biology and ecology. (shrink)