Abstract: Forests are areas with a high density of trees, and they play a vital role in the health of the planet. They provide a habitat for a wide variety of plant and animal species, and they help to regulate the climate by absorbing carbon dioxide from the atmosphere. While in 2010, the world had 3.92Gha of forest cover, covering 30% of its land area, in 2019, there was a loss of forest cover of 24.2Mha according to the Global Forest (...) Watch institute. Discovery and classification depend on human experience and effort, so the error in the results of this process can lead to forest fires and disasters. Therefore, deep learning algorithms from artificial intelligence and machine learning sciences have been applied to help specialists avoid false or inaccurate diagnoses when detecting Forest fires in images using a pre-trained convolutional neural network called VGG16. The model was customized to fit the Forest fires classification and then applied to a dataset consisting of (14,000) of the Forests collected from the Kaggle depository. We trained, validated, and tested the modified VGG16 model. The proposed VGG16 model obtained Precision (99.96%), Recall (99.96%), and F1-Score (99.96%). (shrink)

Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. The aim of this study is to develop a deep learning model to predict the gender from retinal fundus images. The proposed model was based on the Xception pre-trained model. The proposed model was trained on 20,000 retinal fundus images from Kaggle depository. The dataset was preprocessed them split into three datasets (training, validation, Testing). After training and cross-validating the proposed model, (...) it was evaluated using the testing dataset. The result of testing, the area under receiver operating characteristic curve (AUROC) of the model was 0.99, precision, recall, f1-score and accuracy were 99%, precision, recall, f1-score and accuracy were 96.83%, 96.83%, 96.82% and 96.83% respectively.. Clinicians are presently unaware of dissimilar retinal feature variants between females and males, stressing the importance of model explain ability for the prediction of gender from retinal fundus images. The proposed deep learning may enable clinician-driven automated discovery of novel visions and disease biomarkers. (shrink)

It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Bagging Classifier, Decision Tree Classifier and Deep Learning. The dataset (...) was collected from Kaggle depository. It consists of 6362620 rows and 10 columns. The best classifier with unbalanced dataset was the Random Forest Classifier. The Accuracy 99.97%, precession 99.96%, Recall 99.97% and the F1-score 99.96%. However, the best classifier with balanced dataset was the Bagging Classifier. The Accuracy 99.96%, precession 99.95%, Recall 99.98% and the F1-score 99.96%. (shrink)

O Agreste de Pernambuco é conhecido como a bacia leiteira do estado, por possuir não apenas um efetivo bovino leiteiro significativo, mas por apresentar características edafoclimáticas que tornaram possível o desenvolvimento da atividade leiteira. Entretanto, uma vez que possui um clima Semiárido, o cruzamento de raças taurinas com zebuínas é de suma importância, logo, um dos métodos de cruzamento mais abrangente e expressivo no estado é acasalar touro holandês PO com vacas Gir, obtendo F1 ½ HG, que são acasaladas com (...) touro holandês PO, obtendo-se F2 ¾ H + ¼ G, que são os animais de maior efetivo na região. Esse tipo de cruzamento foi essencial para manter o gado produtivo em situações de escassez alimentar e enfrentamento de secas, uma das características inerentes da região. Mesmo com um gado cruzado com bons índices zootécnicos, muitas propriedades não realizam um manejo de administração básica do rebanho como, por exemplo, uma escrituração zootécnica, tampouco um controle leiteiro para descarte de vacas com baixa produção, repetidoras de estro, secas, vazias etc. Essa escassez de informações do rebanho configura a região da bacia leiteira como uma região em que as vacas possuem potencial leiteiro, mas que não são totalmente aproveitadas no que tange seu potencial genético. Desta forma, buscou-se avaliar o manejo nutricional de 15 propriedades leiteiras da região fazendo um balanço do impacto da alimentação do rebanho sobre os índices de produção e reprodução das vacas no sistema de produção e como, através da alimentação, tais índices zootécnicos poderiam ser melhorados através de medidas de manejo básicas na propriedade. -/- REFERÊNCIAS BIBLIOGRÁFICAS AIRES, P. R. R. Diagnóstico do manejo alimentar e qualidade do leite na bacia leiteira do Agreste de Pernambuco. Trabalho de conclusão de curso (Técnico em Agropecuária) - IFPE Campus Belo Jardim. Belo Jardim, 2019. 56 p. AUAD, A. M. et al. Manual de bovinocultura leiteira. 1ª ed. Brasília: LK Editora, 2010. 607 p. CARDOSO, Y. G. F. Manejo reprodutivo e nutricional de bovinos. Trabalho de conclusão de curso (Graduação em Medicina Veterinária) - Faculdade Anhanguera, Anápolis, 2022. CARVALHO, J. S. B.; SOUZA, W. M. (Eds.). Anais Congresso de Iniciação Científica – CIC, Congresso de Pós-graduação – CPG. v, 3. Garanhuns: UFAPE, 2023. DA SILVA EIC. A água na nutrição animal. 1ª ed. Recife, PE: Instituto Agronômico de Pernambuco, 2023. DA SILVA, Emanuel Isaque Cordeiro. Fisiologia da Reprodução de Bovinos Leiteiros: Aspectos Básicos e Clínicos. Emanuel Isaque Cordeiro da Silva, 2022. DA SILVA, Emanuel Isaque Cordeiro. Formulação e fabricação de rações para ruminantes. 1ª ed. Belo Jardim: Emanuel Isaque Cordeiro da Silva, 2021. DA SILVA, Emanuel Isaque Cordeiro. Formulação e Fabricação de Rações Para Ruminantes: Bovinos, Caprinos e Ovinos. 2021. DA SILVA, Emanuel Isaque Cordeiro. Manejo Reprodutivo e Índices Zootécnicos em Gado de Leite. 2023. DA SILVA, Emanuel Isaque Cordeiro. Métodos de Formulação e Balanceamento de Rações para Bovinos. Belo Jardim: Emanuel Isaque Cordeiro da Silva, 2021. DA SILVA, Emanuel Isaque Cordeiro. Nutrição Sobre a Reprodução e Fertilidade dos Bovinos. Emanuel Isaque Cordeiro da Silva, 2021. DA SILVA, Emanuel Isaque Cordeiro. Opções de concentrados para vacas em lactação no Semiárido. 2022. DA SILVA, E. I. C. Suplementação e formulação de sal mineral e mistura múltipla para bovinos. Revista Universitária Brasileira, v. 2, n. 1, 2024. 27-52. GOMES, T. B. B. Diagnóstico de índices zootécnicos e produtivos do rebanho leiteiro do departamento de zootecnia/CCA/UFPB. Trabalho de conclusão de curso (Graduação em Zootecnia) - Centro de Ciências Agrárias. UFPB, Areia, 2018. GONSALVES NETO, J. Manual do produtor de leite. 1ª ed. Viçosa: Aprenda Fácil, 2012. 860 p. MACEDO, S. F. Manejo geral de propriedades de leite e corte da cidade de Bom Conselho/PE. Trabalho de ESO (Estágio Supervisionado Obrigatório - Zootecnia) – UFAPE. Garanhuns, 2018. 49 p. MELO, G. C. S. Proposta de um sistema de produção de leite com dietas à base de palma forrageira. Trabalho de conclusão de curso (Graduação em Zootecnia) - UFRPE. Recife, 2023. 31 p. MONTEIRO, A. A. et al. Características da produção leiteira da região do agreste do estado de Pernambuco, Brasil. Semina: Ciências Agrárias. v. 28, n. 4. 2007. 665-674. NÓBREGA, K. S. Caracterização produtiva e tecnológica de propriedades rurais em três estados da região do Semiárido nordestino brasileiro. Trabalho de conclusão de curso (Graduação em Medicina Veterinária) - IFPE Campus Sousa. Sousa, 2020. 41 p. PEREIRA, J. C. Vacas leiteiras: aspectos práticos da alimentação. 1ª ed. Viçosa: Aprenda Fácil, 2000. 198 p. RAMOS, J. E. S. et al. Eficiência técnica e desempenho econômico de produtores de leite no Agreste Pernambucano. In: IV Simpósio da Ciência do Agronegócio. Anais. Faculdade de Agronomia - UFRGS. Porto Alegre, RS, 2018. RAMOS, J. E. S. et al. Identificando Benchmarks na produção de leite no Agreste de Pernambuco. In: I Congresso Internacional das Ciências Agrárias - COINTER. PDVAgro 2016. Anais. Vitória de Santo Antão, PE, 2016. SILVA, E. J. et al. Estudo dos índices de desempenho reprodutivo de bovinos de três propriedades situadas no Agreste e Zona da Mata do Estado de Pernambuco. Scientia Plena, v. 11, n. 4. 2015. 1-4. SILVA, S. S. et al. Viabilidade econômica em sistemas de produção de leite da Agricultura familiar em Pernambuco. Custos e @agronegócio. v. 15, n. 3. 2019. 460-484. ZEOLITA, M. A. A. Manejo nutricional e índices zootécnicos do rebanho leiteiro do Agreste de Pernambuco. Tese (Doutorado em Zootecnia) - UFAPE. Garanhuns, 2023. 86 p. (shrink)

Slurs possess interesting linguistic properties and so have recently attracted the attention of linguists and philosophers of language. For instance the racial slur "nigger" is explosively derogatory, enough so that just hearing it mentioned can leave one feeling as if they have been made complicit in a morally atrocious act.. Indeed, the very taboo nature of these words makes discussion of them typically prohibited or frowned upon. Although it is true that the utterance of slurs is illegitimate and derogatory in (...) most contexts, sufficient evidence suggests that slurs are not always or exclusively used to derogate. In fact, slurs are frequently picked up and appropriated by the very in-group members that the slur was originally intended to target. This might be done, for instance, as a means for like speakers to strengthen in-group solidarity. So an investigation into the meaning and use of slurs can give us crucial insight into how words can be used with such derogatory impact, and how they can be turned around and appropriated as vehicles of rapport in certain contexts among in-group speakers. In this essay I will argue that slurs are best characterized as being of a mixed descriptive/expressive type. Next, I will review the most influential accounts of slurs offered thus far, explain their shortcomings, then provide a new analysis of slurs and explain in what ways it is superior to others. Finally, I suggest that a family-resemblance conception of category membership can help us achieve a clearer understanding of the various ways in which slurs, for better or worse, are actually put to use in natural language discourse. (shrink)

Some philosophers argue that martial arts training is maladaptive, contributes to psychological illness, and provides a social harm, whereas others argue that martial arts training is adaptive, contributes to psychological wellness, and provides a social benefit. This debate is important to scholars and the general public since beliefs about martial arts training can have a real impact on how we evaluate martial artists for job opportunities and career advancement, and in general, how we treat martial artists from different cultures in (...) our communities. This debate is also important for children and adults that have considered enrolling in martial arts training programs but remain uncertain about potential outcomes of training due to the lack of research in this area. This article therefore contributes to the literature on martial arts by (1) outlining a framework that characterizes psychological well-being in terms of five elements, (2) discussing how results from empirical research support the hypothesis that Muay Thai training can contribute to psychological well-being by contributing to all five component elements, (3) discussing the psychological benefits of martial arts training from the perspective of an Everlast Master Instructor, and (4) discussing how martial arts training involves the cultivation of combat-relevant affordances. (shrink)

Background: Mint is a grassy, perennial plant, belonging to the oral platoon, fast growing and spreading, its leaves are green in color, fragrant, tart, refreshing, square-shaped leg, bifurcated, erect, ranging in height from (10 - 201 cm). Home to Europe and Asia. The mint plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the mint plant is the ideal option for the start of gardens, (...) it is prone to some common diseases that affect the plant's growth. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help Farmers and those interested in agriculture in diagnosing many of the Mint diseases such as Mint rust, Verticillium wilt, Anthracnose, Powdery mildew, Black Stem Rot, Stem and stolon canker, Septoria leaf spot. The proposed expert system presents an overview of mint diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Mint diseases diagnosis expert system was evaluated by Agricultural Students at AL Azhar University and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

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

We have a much better understanding of physics than we do of consciousness. I consider ways in which intrinsically mental aspects of fundamental ontology might induce modifications of the known laws of physics, or whether they could be relevant to accounting for consciousness if no such modifications exist. I suggest that our current knowledge of physics should make us skeptical of hypothetical modifications of the known rules, and that without such modifications it’s hard to imagine how intrinsically mental aspects could (...) play a useful explanatory role. Draft version of a paper submitted to Journal of Consciousness Studies, special issue responding to Philip Goff’s Galileo’s Error: Foundations for a New Science of Consciousness. (shrink)

I defend the extremist position that the fundamental ontology of the world consists of a vector in Hilbert space evolving according to the Schrödinger equation. The laws of physics are determined solely by the energy eigenspectrum of the Hamiltonian. The structure of our observed world, including space and fields living within it, should arise as a higher-level emergent description. I sketch how this might come about, although much work remains to be done.

This editorial introduces the Journal of Consciousness Studies special issue on "Animal Consciousness". The 15 contributors and co-editors answer the question "How should we study animal consciousness scientifically?" in 500 words or fewer.

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique used (...) to produce Pneumonia detection and classification models using x-ray imaging for rapid and easy detection and identification of pneumonia. In this thesis, we review ways and mechanisms to use deep learning techniques to produce a model for Pneumonia detection. The goal is find a good and effective way to detect pneumonia based on X-rays to help the chest doctor in decision-making easily and accuracy and speed. The model will be designed and implemented, including both Dataset of image and Pneumonia detection through the use of Deep learning algorithms based on neural networks. The test and evaluation will be applied to a range of chest x-ray images and the results will be presented in detail and discussed. This thesis uses deep learning to detect pneumonia and its classification. (shrink)

In this paper, we argue that there are reasons to believe that an implicit bias for normalcy influences what are considered medically necessary treatments in psychiatry. First, we outline two prima facie reasons to suspect that this is the case. A bias for ‘the normal’ is already documented in disability studies; it is reasonable to suspect that it affects psychiatry too, since psychiatric patients, like disabled people, are often perceived as ‘weird’ by others. Secondly, psychiatry's explicitly endorsed values of well-being (...) and function are hard to measure directly, which is why we see simpler box-ticking conceptions of recovery used in large research studies. This need not be problematic, but might lead to researchers and clinicians focusing too much on treatments that promote easy-to-measure proxies for recovery, instead of what actually matters to psychiatric patients themselves. Next, we provide examples of treatments and treatment decisions within two areas – self-injury and psychosis – which are hard to explain unless we assume that an implicit and harmful normalcy bias is at work. We conclude with some suggestions for clinicians and future research. (shrink)

Racial epithets are terms used to characterize people on the basis of their race, and are often used to harm the people that they target. But what do racial epithets mean, and how do they work to harm in the way that they do? In this essay I set out to answer these questions by offering a pragmatic view of racial epithets, while contrasting my position with Christopher Hom's semantic view.

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)

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

The paper also discusses the technical architecture, including the network protocols, data management strategies, and user interface design considerations necessary to implement such a system. Additionally, it addresses the challenges related to data security, privacy, and system interoperability. Finally, the paper outlines potential future enhancements, such as the incorporation of AI-driven predictive analytics and advanced AR features, to further elevate the smart home experience.

Does martial arts practice contribute to psychological well-being in professional martial artists? If so, what are the specific ways that martial arts practice accomplishes this? It has been a long-standing and widely held belief that martial arts practice can contribute to psychological well-being, however, there has been a lack of empirical research in the psychological literature focused on investigating the details of this hypothesis. The purpose of this research is therefore to investigate the impact of a paradigmatic martial arts practice—shadowboxing—on (...) the psychological well-being of professional martial artists. In this article I present the results from an original empirical study on professional Muay Thai practitioners (n = 14) that reveals how a martial arts practice (shadowboxing) contributes to their overall psychological well-being by contributing to their positive emotions, engagement, relationships, meaning, and accomplishment. I present general results for how shadowboxing contributes to the psychological well-being of these professional martial artists overall, as well as more specific results for how shadowboxing contributes to the psychological well-being of these professional martial artists based on factors such as their gender, fight experience, and training location. This article also provides qualitative first-person reports from professional Muay Thai practitioners (n = 14) about their use of visualization and mental imagery and their experience of flow while shadowboxing, offering unique insight into the minds of professional martial artists as they are actively engaged in their craft. Finally, this article discusses the value and limitations of the present study and outlines suggestions for future research. (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)

In the Bayesian approach to quantum mechanics, probabilities—and thus quantum states—represent an agent’s degrees of belief, rather than corresponding to objective properties of physical systems. In this paper we investigate the concept of certainty in quantum mechanics. Particularly, we show how the probability-1 predictions derived from pure quantum states highlight a fundamental difference between our Bayesian approach, on the one hand, and Copenhagen and similar interpretations on the other. We first review the main arguments for the general claim that probabilities (...) always represent degrees of belief. We then argue that a quantum state prepared by some physical device always depends on an agent’s prior beliefs, implying that the probability-1 predictions derived from that state also depend on the agent’s prior beliefs. Quantum certainty is therefore always some agent’s certainty. Conversely, if facts about an experimental setup could imply agent-independent certainty for a measurement outcome, as in many Copenhagen-like interpretations, that outcome would effectively correspond to a preexisting system property. The idea that measurement outcomes occurring with certainty correspond to preexisting system properties is, however, in conflict with locality. We emphasize this by giving a version of an argument of Stairs [(1983). Quantum logic, realism, and value-definiteness. Philosophy of Science, 50, 578], which applies the Kochen–Specker theorem to an entangled bipartite system. (shrink)

We study the conservation of energy, or lack thereof, when measurements are performed in quantum mechanics. The expectation value of the Hamiltonian of a system changes when wave functions collapse in accordance with the standard textbook treatment of quantum measurement, but one might imagine that the change in energy is compensated by the measuring apparatus or environment. We show that this is not true; the change in the energy of a state after measurement can be arbitrarily large, independent of the (...) physical measurement process. In Everettian quantum theory, while the expectation value of the Hamiltonian is conserved for the wave function of the universe, it is not constant within individual worlds. It should therefore be possible to experimentally measure violations of conservation of energy, and we suggest an experimental protocol for doing so. (shrink)

We critique two popular philosophical definitions of intellectual humility: the “low concern for status” and the “limitations-owning.” accounts. Based upon our analysis, we offer an alternative working definition of intellectual humility: the virtue of accurately tracking what one could non-culpably take to be the positive epistemic status of one’s own beliefs. We regard this view of intellectual humility both as a virtuous mean between intellectual arrogance and diffidence and as having advantages over other recent conceptions of intellectual humility. After defending (...) this view, we sketch remaining questions and issues that may bear upon the psychological treatment of intellectual humility such as whether evidence will help determine how this construct relates to general social humility on the one hand, and intellectual traits such as open-mindedness, curiosity, and honesty on the other. (shrink)

In today's data-driven world, the efficient management of network resources is crucial for optimizing performance in data centers and large-scale networks. Load balancing is a critical process in ensuring the equitable distribution of data across multiple paths, thereby enhancing network throughput and minimizing latency. This paper presents a comprehensive approach to load balancing using advanced optimization techniques integrated with multipath routing protocols. The primary focus is on dynamically allocating network resources to manage the massive volume of data generated by modern (...) applications. By leveraging algorithms such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO), the proposed method efficiently distributes data across multiple paths, ensuring balanced network utilization. The combination of these algorithms with multipath routing significantly reduces congestion and improves overall network performance. (shrink)

This paper explores the idea of robust discursive equality on which respect-based conceptions of justificatory reciprocity often draw. I distinguish between formal and substantive discursive equality and argue that if justificatory reciprocity requires that people be accorded formally equal discursive standing, robust discursive equality should not be construed as requiring standing that is equal substantively, or in terms of its discursive purchase. Still, robust discursive equality is purchase sensitive: it does not obtain when discursive standing is impermissibly unequal in purchase. (...) I then showcase different candidate conceptions of purchase justice, and draw conclusions about the substantive commitments of justificatory reciprocity. (shrink)

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

Stephen Law developed a challenge to theism, known as the evil-god challenge (Law (2010) ). The evil-god challenge to theism is to explain why the theist’s responses to the problem of evil are any better than the diabolist’s – who believes in a supremely evil god – rejoinders to the problem of good, when all the theist’s ploys (theodicy, sceptical theism, etc.) can be parodied by the diabolist. In the first part of this article, I extend the evil-god challenge by (...) showing that additional theist replies to the problem of evil (more theodicies, the privation view of evil, and others) also may be appropriated, with just as much plausibility, in support of the diabolist position. In the second part of the article, I defend the evil-god challenge against several objections. (shrink)

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

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

Three-dimensionalists , sometimes referred to as endurantists, think that objects persist through time by being “wholly present” at every time they exist. But what is it for something to be wholly present at a time? It is surprisingly difficult to say. The threedimensionalist is free, of course, to take ‘is wholly present at’ as one of her theory’s primitives, but this is problematic for at least one reason: some philosophers claim not to understand her primitive. Clearly the three-dimensionalist would be (...) better off if she could state her theory in terms accessible to all. We think she can. What is needed is a definition of ‘is wholly present at’ that all can understand. in this paper, we offer one. (shrink)

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

Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized through (...) techniques like hyperparameter tuning, cross-validation, and feature selection to improve prediction accuracy. (shrink)

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

The data collected by these sensors are transmitted to a centralized system where optimization algorithms, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA), are applied to optimize sensor placement, data transmission, and processing efficiency. This ensures accurate, real-time pollution monitoring and data analysis, providing actionable insights for policymakers, environmental agencies, and the general public. The system's performance is evaluated through simulations and real-world experiments, demonstrating its capability to deliver reliable and timely pollution data. Future work (...) will explore the integration of machine learning techniques for predictive analytics and the expansion of the sensor network for broader coverage. (shrink)

The exponential growth of cloud storage has necessitated advanced security measures to protect sensitive data from unauthorized access. Traditional encryption methods provide a layer of security, but they often lack the robustness needed to address emerging threats. This paper introduces an optimized framework for secure cloud storage that integrates data encryption, decryption, and dispersion using cutting-edge optimization techniques. The proposed model enhances data security by first encrypting the data, then dispersing it across multiple cloud servers, ensuring that no single server (...) holds the complete dataset. Decryption occurs only when the dispersed data fragments are reassembled, which adds an additional layer of security. We also explore various optimization algorithms to improve the efficiency of encryption and dispersion processes, thereby reducing computational overhead while maintaining high security. (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)

Non-cognitivists claim that thick concepts can be disentangled into distinct descriptive and evaluative components and that since thick concepts have descriptive shape they can be mastered independently of evaluation. In Non-Cognitivism and Rule-Following, John McDowell uses Wittgenstein’s rule-following considerations to show that such a non-cognitivist view is untenable. In this paper I do several things. I describe the non-cognitivist position in its various forms and explain its driving motivations. I then explain McDowell’s argument against non-cognitivism and the Wittgensteinian considerations upon (...) which it relies, because this has been sufficiently misunderstood by critics and rarely articulated by commentators. After clarifying McDowell’s argument against non-cognitivism, I extend the analysis to show that commentators of McDowell have failed to appreciate his argument and that critical responses have been weak. I argue against three challenges posed to McDowell, and show that the case of thick concepts should lead us to reject non-cognitivism. (shrink)

The paper advances a non-orthodox reading of political liberalism’s view of political legitimacy, the view of public political justification that comes with it, and the idea of the reasonable at the heart of these views. Political liberalism entails that full discursive standing should be accorded only to people who are reasonable in a substantive sense. As the paper argues, this renders political liberalism dogmatic and exclusivist at the level of arguments for or against normative theories of justice. Against that background, (...) the paper considers aspects of a more plausible, deeper and more inclusive idea of public political justification that builds on a thinner, potentially cosmopolitan idea of the reasonable. The paper considers what content such an idea may have, and identifies a method of inclusive abstraction through which it may be enriched in content to render it fruitful for the purposes of a justification of principles of political justice. But the move toward more depth and inclusiveness faces constructivism with two challenges. First, inclusivism about the scope of political justification might not be able to avoid dogmatism unless it invokes perfectionist considerations. And second, the authority and appeal of a fruitfully rich idea of the reasonable depends on whether the addressees of political justification already value wide acceptability. (shrink)

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

In this article, we describe what cryptocurrency is, how it works, and how it relates to familiar conceptions of and questions about money. We then show how normative questions about monetary policy find new expression in Bitcoin and other cryptocurrencies. These questions can play a role in addressing not just what money is, but what it should be. A guiding theme in our discussion is that progress here requires a mixed approach that integrates philosophical tools with the purely technical results (...) of disciplines like computer science and economics. Note: this article is the first entry within a two-part sequence on the Philosophy, Politics, and Economics of Cryptocurrency. (shrink)

This article presents a new conceptual view on the conscious will. This new concept approaches our will from the perspective of the requirements of our neural-muscular system and not from our anthropocentric perspective. This approach not only repositions the will at the core of behavior control, it also integrates the studies of Libet and Wegner, which seem to support the opposite. The will does not return as an instrument we use to steer, but rather as part of the way we (...) learn new automatic behavior and of how our neural system steers us. The new concept suggests that understanding of our will is more about understanding of our daily behavior than about the will itself. (shrink)

Hume discusses the distinction of reason to explain how we distinguish things inseparable, and so identical, e.g., the color and figure of a white globe. He says we note the respect in which the globe is similar to a white cube and dissimilar to a black sphere, and the respect in which it is dissimilar to the first and similar to the second. Unfortunately, Hume takes these differing respects of resemblance to be identical with the white globe itself. Contradiction results, (...) undermining his theory of abstraction. The way out is apparently to admit an intrinsic complexity in even simple things. (shrink)

Enclosed is a guidebook for philanthropists, advocates, and policymakers who want to do the most good possible. This book introduces the philosophy of “longtermism,” the idea that it is particularly important that we act now to safeguard future generations. -/- The future is vast in scale: depending on our choices in the coming centuries, the future could stretch for eons or it could dwindle into oblivion, and be inordinately good or inordinately bad. And yet future generations are utterly disenfranchised in (...) the world today: they cannot participate in our markets, our movements, or our civil society. This presents 21st Century philanthropists with a historically unprecedented opportunity to do good by protecting the long-term future. -/- The essays within are from the pioneers who have developed the intellectual foundations of longtermism, as well as the experts and advocates who are now putting it into practice. Readers will hear the case for longtermism from professors at the University of Oxford and Longview’s own founders; longtermist policy proposals from political philosophers, members of the House of Lords, and the All-party Parliamentary Group for Future Generations; the case for work on biosecurity, artificial intelligence, and climate change from leading experts; and the first ever essay on longtermist cultural change from the former Chief of Cabinet to the Finnish President. -/- Together, these essays chart the path forward toward maximising the good that we do for our grandchildren, our grandchildren’s grandchildren, and every generation beyond. (shrink)

Leibniz’s mechanistic reduction of colors and other sensible qualities commits him to two theses about our knowledge of those qualities: first, that we can acquire ideas of sensible qualities apart from any direct acquaintance with the qualities themselves; second, that we can acquire distinct (i.e., non-confused) ideas of such qualities through the development of physical-theoretical accounts. According to some commentators, however, Leibniz frequently denies both claims. His views on the subject are muddled and incoherent, they say, both because he is (...) ambivalent about the nature of sensible qualities, and because he gets confused about confusion, losing sight of his own distinction between the confusion proper to perceptions and that proper to ideas. In opposition to this, I argue that the critics have misunderstood Leibniz’s views, which are both consistent over time and coherent. The key to understanding his position is to appreciate what he characterizes as a kind of redundancy in our ideas of sensible qualities, a crucial feature of his view overlooked by the critics. (shrink)

This paper examines the experiences of a group of values education teachers who are studying in a customized scholarship and online graduate program under the Linking Standards and Quality Practice (LiSQuP) project in the Philippines. It aimed to explore the attitudes, benefits, and challenges encountered by the values education teachers by participating in the LiSQuP program. Embedded single case study research design was used, and qualitative content analysis was utilized for analyzing and interpreting the data. Recorded focus group interview, online (...) survey documents, observations, and participatory contact were used to obtain the data from the 30 participants who are LiSQuP scholars and teachers of values education in the public schools of the Philippines. Based on the findings of the study, the following results were drawn: 1) The participants exhibited adaptive and positive attitude towards the LiSQuP program; 2) The participants benefited from the program in terms of professional and personal development; and 3) The participants struggled with various factors related to time, program design, and personal traits. The rewarding and challenging experiences of the participants in this study May inform the project management team and other higher education institutions with similar online programs to enhance opportunities for a more responsive and collaborative online learning community for diverse graduate distance learners. (shrink)

Public justification in political liberalism is often conceptualized in light of Rawls’s view of its role in a hypothetical well-ordered society as an ideal or idealizing form of justification that applies a putatively reasonable conception of political justice to political matters. But Rawls implicates a different idea of public justification in his doctrine of general reflective equilibrium. The paper engages this second, more fundamental idea. Public justification in this second sense is actualist and fundamental. It is actualist in that it (...) fully enfranchises actual reasonable citizens. It is fundamental in that political liberalism qualifies conceptions of political justice as reasonable to begin with only if they can be accepted coherently by actual reasonable citizens. Together, these features invite the long-standing concern that actualist political liberalism is objectionably exclusionary. I argue that the exclusion objection, while plausible, is more problematic in own right than it seems if actualist and fundamental public justification hypotheticalizes and discursive respect is compatible with substantive discursive inequality. This leaves proponents and critics of political liberalism with deeper questions about the nature of permissible discursive inequality in public justification. (shrink)

This paper establishes that the occasional identity relation and the contingent identity relation are both non-transitive and as such are not properly classified as identity relations. This is achieved by appealing to cases where multiple fissions and fusions occur simultaneously. These cases show that the contingent and occasional identity relations do not even satisfy the time-indexed and world-indexed versions of the transitivity requirement and hence are non-transitive relations.

The paper argues that applications of the principle that “ought” implies “can” (OIC) depend on normative considerations even if the link between “ought” and “can” is logical in nature. Thus, we should reject a common, “factualist” conception of OIC and endorse weak “normativism”. Even if we use OIC as the rule ““cannot” therefore “not ought””, applying OIC is not a mere matter of facts and logic, as factualists claim, but often draws on “proto-ideals” of moral agency.