The homeostatic property cluster theory is widely influential for its ability to account for many natural-kind terms in the life sciences. However, the notion of homeostatic mechanism has never been fully explicated. In 2009, Carl Craver interpreted the notion in the sense articulated in discussions on mechanistic explanation and pointed out that the HPC account equipped with such notion invites interest-relativity. In this paper, we analyze two recent refinements on HPC: one that avoids any reference to the causes of the (...) clustering of properties and one that replaces homeostatic mechanisms with causal networks represented by causal graphs. We argue that the former is too slender to account for some inductive inference in science and the latter, thicker account invites interest-relativity, as the original HPC does. This suggests that human interest will be an un-eliminative part of a satisfactory account of natural kindness. We conclude by discussing the implication of interest-relativity to the naturalness, reality, or objectivity of kinds and indicating an overlooked aspect of natural kinds that requires further studies. (shrink)

Illness and injury are often accompanied by experiences of bodily objectification. Medical treatments intended to restore the structure or function of the body may amplify these experiences of objectification by recasting the patient’s body as a biomedical object—something to be examined, measured, and manipulated. In this article, we contribute to the phenomenology of embodiment in illness and medicine by reexamining the results of a qualitative study of the experiences of nurses and patients isolated in an intensive care unit during the (...) first wave of COVID-19. Drawing upon the phenomenological concept of embodiment—as developed in the work of Edmund Husserl, Maurice Merleau-Ponty, Jean-Paul Sartre, and Emmanuel Levinas—we reconsider how bodily objectification manifests in complex clinical encounters. We show that, in these settings, objectification is not simply the unilateral act of a clinician objectifying a patient. Rather, both clinicians and patients reported a variety of objectifying experiences influenced by their interactions, the immediate context of the intensive care milieu, and the broader atmosphere of a global pandemic. In light of these findings, we argue that bodily objectification in illness and medicine can often be more complicated than typically presented in the phenomenological literature. (shrink)

We provide an analysis of the public's having warranted epistemic trust in science, that is, the conditions under which the public may be said to have well-placed trust in the scientists as providers of information. We distinguish between basic and enhanced epistemic trust in science and provide necessary conditions for both. We then present the controversy regarding the connection between autism and measles–mumps–rubella vaccination as a case study to illustrate our analysis. The realization of warranted epistemic public trust in science (...) requires various societal conditions, which we briefly introduce in the concluding section. (shrink)

This short work sets out to argue that the set of simple expressions comprising the lexicon of a given individual and the lexis of a given community are not just contingently but necessarily finite at any given moment in time. Where the lexicon is concerned, this is done by adapting a very simple argument presented by Fred Dretske (1965) concerning whether an individual can count to infinity. This is extended to the more challenging case of the lexis of a community (...) by introducing lexicalization as a condition, which facilitates the same sort of argument as presented for the lexicon. Though the lexicon and lexis are often implicitly assumed to be finite, with little need for further argumentation, there does appear to be grounds for the stronger and more interesting claim that they are necessarily finite at any given moment in time. (shrink)

Cloud Computing provides vast storage facility. The requirement of this system is to improve the security and transmission performance in the cloud storage environment. Methods: This system provides two level of security for the cloud data. The Client Data Security Contrivance (CDSC) and Cloud Service Provider (CSP) Data Security Contrivance are the two methods which transforms the original data to cipher text. The security algorithm used in CDSC is Linguistic Steganography. Blowfish algorithm is used in CSP Data Security Contrivance to (...) convert the cipher text using a secret-key block cipher of 64-bits. This system is designed to increase security and to improve the transmission performance. Storage-cheating attack model and Privacy-cheating attack model are implemented to protect the data on cloud. Findings: This system increases security and improves transmission performance. The blowfish algorithm is secure against unauthorized attacks and runs faster than the popular existing algorithms. Storage-cheating attack model and Privacy-cheating attack model provides the data confidentiality for data stored in the cloud in higher way. Improvements: The system can be implemented in real cloud system in the future. (shrink)

Unger has recently argued that if you are the only thinking and experiencing subject in your chair, then you are not a material object. This leads Unger to endorse a version of Substance Dualism according to which we are immaterial souls. This paper argues that this is an overreaction. We argue that the specifically Dualist elements of Unger’s view play no role in his response to the problem; only the view’s structure is required, and that is available to Unger’s opponents. (...) We outline one such non-Dualist view, suggest how to resolve the dispute, respond to some objections, and argue that ours is but one of many views that survive Unger’s challenge. All these views are incompatible with microphysicalism. So Unger’s discussion does contain an insight: if you are the only conscious subject in your chair, then microphsyicalism is false. Unger’s mistake was to infer Substance Dualism from this; for microphysicalism is not the only alternative to Dualism. (shrink)

The primary aim of this research was to investigate the intricate relationship between the structural elements of experiences and their essential role in meaning formation. The analysis focused on understanding the nature of mental representations and the subjective, phenomenal qualities that emerge within experiences. To achieve this, an integrated approach, combining cognitive semantics with phenomenological analysis, was employed to examine the compositional complexities of the dynamic interaction between a priori and immediate experiences and their significance in meaning formation. The study (...) highlights the interconnectivity of structural elements within experience as a critical factor in shaping the phenomenal qualities of mental representations. Another key contribution of this study is the introduction of the “fulfiller” concept, which underscores the importance of absent qualities in meaning formation-an often-overlooked aspect in traditional models that focus solely on present attributes. The “fulfiller” concept emphasizes how absence, in addition to presence, influences meaning assignment. This inclusion enhances our understanding of meaning formation by considering both the tangible and intangible dimensions of the experiential-intentional process, offering a more comprehensive framework for understanding how meaning emerges from the complex interaction of present and absent qualities. (shrink)

In this article, we develop a new approach to integrating philosophical phenomenology with qualitative research. The approach uses phenomenology’s concepts, namely existentials, rather than methods such as the epoché or reductions. We here introduce the approach to both philosophers and qualitative researchers, as we believe that these studies are best conducted through interdisciplinary collaboration. In section 1, we review the debate over phenomenology’s role in qualitative research and argue that qualitative theorists have not taken full advantage of what philosophical phenomenology (...) has to offer, thus motivating the need for new approaches. In section 2, we introduce our alternative approach, which we call Phenomenologically Grounded Qualitative Research (PGQR). Drawing parallels with phenomenology’s applications in the cognitive sciences, we explain how phenomenological grounding can be used to conceptually front-load a qualitative study, establishing an explicit focus on one or more structures of human existence, or of our being in the world. In section 3, we illustrate this approach with an example of a qualitative study carried out by one of the authors: a study of the existential impact of early parental bereavement. In section 4, we clarify the kind of knowledge that phenomenologically grounded studies generate and how it may be integrated with existing approaches. (shrink)

The primary purpose of this project is to streamline the process of calculating individual shares of various expenses, reducing potential conflicts and ensuring transparency. Users can input their expenses, and the application automatically divides the total amount among the participants based on predefined criteria, such as equal shares or specific contributions. 1[This functionality is particularly useful for managing shared household bills, planning group events, and coordinating travel budgets. By offering a userfriendly interface and robust backend support, the project simplifies the (...) tracking of who owes what, automates reimbursement management, and ensures that financial coordination in group settings is more efficient and stress-free. ]1 It addresses common pain points in group expense management, such as calculating individual contributions, keeping track of payments, and ensuring everyone pays their fair share. This makes it an ideal tool for friends, families, roommates, or any group that shares financial responsibilities. (shrink)

Pneumonia is a serious respiratory infection that poses significant health risks, particularly if not diagnosed and treated promptly. Traditional methods of pneumonia diagnosis rely on the manual interpretation of chest X-ray images by radiologists, a process that can be time-consuming, subjective, and error-prone, especially in regions with limited access to experienced medical professionals. To address these challenges, this study explores the development of an automated deep learning-based system for pneumonia detection using chest X-ray images. The results demonstrate that the deep (...) learning model can achieve high levels of accuracy, sensitivity, and specificity, making it a valuable tool for assisting radiologists in diagnosing pneumonia more quickly and reliably. Moreover, the system's scalability and ease of deployment make it particularly beneficial in resource-limited settings, where timely and accurate diagnosis is crucial. This research highlights the potential of deep learning to revolutionize medical diagnostics, improving patient outcomes through enhanced diagnostic accuracy and efficiency. (shrink)

This edited volume illustrates the central importance of diversity of human values throughout healthcare. The readings are organised around the main stages of the clinical encounter from the patient's perspective. This introductory chapter opens up crucial issues of methodology and of practical application in this highly innovative approach to the role of ethics in healthcare.

The diversion of forest land for development requires accurate tree enumeration to assess environmental impact. Traditional methods, like manual counting and sampling, are labor-intensive, time-consuming, and prone to error. This project leverages high-resolution satellite and drone imagery, combined with advanced image processing and machine learning, to automate tree counting. Our system includes analytical tools, and provides authorities with historical environmental data (like rainfall, temperature, humidity) for informed decision-making. With a userfriendly interface and appealing data visualizations, it also integrates Google Maps (...) API for user-generated satellite imagery. This solution aims to enhance accuracy, efficiency, and scalability in tree enumeration, supporting sustainable forest management and regulatory compliance. (shrink)

Dredging operations are essential for maintaining navigable waterways, but determining the ideal time to dredge requires a multifaceted approach, incorporating both environmental and operational variables. This paper presents the Dredging Analysis and Decision Support System (DADSS), a data-driven solution that employs historical sedimentation data, weather patterns, and water flow statistics to optimize dredging decisions. The system leverages Random Forest Classifier and Regressor models to predict the need for dredging and estimate associated costs. Key inputs include sedimentation depth, water flow rate, (...) sediment type, and precipitation levels. By providing real-time insights and cost-effective guidance without reliance on physical sensors, this solution enhances waterway management efficiency while reducing environmental impact. Results demonstrate a clear optimization in dredging operations with a reduced frequency of unnecessary dredging. (shrink)

A Cloud-based Document Collaboration System (CDCS) enables multiple users to work together on documents in real time, leveraging the power of cloud computing to facilitate seamless and efficient collaboration. With increasing reliance on cloud technologies, such systems have revolutionized how teams, organizations, and individuals manage, edit, and share documents. This paper presents an overview of Cloud-based Document Collaboration Systems, focusing on the architecture, key features, benefits, challenges, and popular platforms. Additionally, we discuss the underlying technologies that enable collaboration, including cloud (...) storage, version control, and real-time synchronization. The paper highlights key use cases, compares leading platforms, and examines potential future trends in cloud-based document collaboration. (shrink)

This paper explores the implementation of a batch processing pipeline for SIM log data in the telecommunication industry using Azure cloud services. The project leverages Azure Data Lake for data storage, Azure Data Factory for automated data ingestion, and Azure Databricks for processing large volumes of data. By applying machine learning algorithms, the system identifies patterns in network usage, detects anomalies, and provides insights into customer behaviour. The results, visualized using Power BI, enable telecom operators to optimize network performance and (...) enhance customer satisfaction. (shrink)

I examine the epistemic import of collaborative research in science. I develop and defend a functional explanation for its growing importance. Collaborative research is becoming more popular in the natural sciences, and to a lesser degree in the social sciences, because contemporary research in these fields frequently requires access to abundant resources, for which there is great competition. Scientists involved in collaborative research have been very successful in accessing these resources, which has in turn enabled them to realize the epistemic (...) goals of science more effectively than other scientists, thus creating a research environment in which collaboration is now the norm. (shrink)

Marx’s concept of value has been subject to significant criticism. Robinson argues that the concept is awkward and obscure, as it is meant to explain the prices of commodities and thus must be a kind of price, but it is not. Consequently, Robinson holds that the concept of value makes no sense. Furthermore, according to Harvey, Marx in the Grundrisse confuses value with price. It seems to me that both Robinson’s criticism and Harvey’s exegesis are based on serious misunderstandings. In (...) this article, I first unpack Marx’s criticism of Darimon’s proposal concerning time chits. The upshot is that, for Marx, production relations enjoy a priority, and a monetary reform like Darimon’s cannot fulfill the function of revolutionary change. So, time chits become a triviality. Second, I suggest a reconstruction of what I call Marx’s “nonconvergency thesis.” The thesis states that there is a supervenience between value and price. Marx says that Darimon is ignorant about this thesis, and his proposal relies on the delusion that the two are convergent. Therefore, I maintain that Harvey’s claim is misleading, as he overlooks the nonconvergency thesis articulated in the Grundrisse. And Robinson’s condemnation of the concept of value should be dismissed because her understanding is very much the same as Darimon’s, in that she ignores the two-layered ontological structure between value and price. (shrink)

The rise of remote work and the widespread adoption of cloud computing have transformed the digital landscape, providing organizations with flexibility and scalability. However, these advancements have also introduced new cybersecurity challenges. Traditional security frameworks, which focus on perimeter defenses, are increasingly inadequate in securing cloud-based environments and remote workforces. This paper explores the evolving landscape of cybersecurity risk management in the context of remote work and cloud computing. It investigates the unique risks associated with these technologies, such as data (...) breaches, misconfigurations, and insider threats, and provides a comprehensive analysis of risk management strategies to address these challenges. Furthermore, the paper examines best practices for securing cloud environments and managing risks associated with remote work, focusing on continuous monitoring, data protection, and employee training. (shrink)

This chapter identifies and explores a series of challenges raised by the clinical concept of delusion for theories which conceive autonomy as an agency rather than a status concept. The first challenge is to address the autonomy-impairing nature of delusions consistently with their role as grounds for full legal and ethical excuse, on the one hand, and psychopathological significance as key symptoms of psychoses, on the other. The second challenge is to take into account the full logical range of delusions, (...) which may take the form of true or false factual beliefs, positive or negative evaluations, as well as the paradoxical delusion of mental illness. The third and final challenge is to make room for non-pathological or, autonomy-preserving delusions and to offer a credible way of distinguishing between these and pathological or, autonomy-impairing delusions. By setting out these challenges, we are able to, firstly, distinguish between two separate conceptions of objectivity that may be at work in existing accounts of delusions and, secondly, to put a spotlight on an elusive yet inescapable notion of agential success that underlies our thinking about autonomy as well as mental disorder. (shrink)

Many accounts of the morality of abortion assume that early fetuses must all have or lack moral status in virtue of developmental features that they share. Our actual attitudes toward early fetuses don’t reflect this all-or-nothing assumption: early fetuses can elicit feelings of joy, love, indifference, or distress. If we start with the assumption that our attitudes toward fetuses reflect a real difference in their moral status, then we need an account of fetal moral status that can explain that difference. (...) I argue that we can have or lack relational obligations to early fetuses in light of our own activities or choices, independent of the fetus’s own features or properties. Those relational obligations make the early fetus morally considerable to the persons who stand in a moral relation to it. Pregnant persons (and other participants in the procreative process) can come to have relational obligations to an early fetus just in virtue of their own decision to create a person, either by intentionally getting pregnant or by deciding to continue a pregnancy. That decision not only makes it appropriate for them to care about the fetus, but it also generates obligations to the fetus that they didn’t have before that decision. (shrink)

The dominant framework for addressing procreative ethics has revolved around the notion of harm, largely due to Derek Parfit’s famous non-identity problem. Focusing exclusively on the question of harm treats what procreators owe their offspring as akin to what they would owe strangers (if they owe them anything at all). Procreators, however, usually expect (and are expected) to parent the persons they create, so we cannot understand what procreators owe their offspring without also appealing to their role as prospective parents. (...) I argue that prospective parents can wrong their future children just by failing to act well in their role as parents, whether or not their offspring are ultimately harmed or benefitted by their creation. Their obligations as prospective parents bear on the motivations behind their reproductive choices, including the choice to select for some genetic trait in their offspring. Even when procreators’ motivations aren’t malicious, or purely selfish, they can still fail to recognize and act for the end of the parental role. Procreators can wrong their offspring by selecting for some genetic trait, then, when doing so would violate their obligations as prospective parents, or when their motivation for doing so is antithetical to the end of the parental role. (shrink)

. The surge in data traffic strains backbone networks, causing congestion, latency, and higher costs. This project proposes a data compression system tailored for backbone networks, utilizing Lempel-Ziv (LZ) and Huffman encoding to enhance processing time and network efficiency. Adaptive features allow the system to respond to network conditions, ensuring scalability and cost-effectiveness. The primary objective is to optimize network performance by reducing data packet size, increasing throughput, lowering latency, and reducing energy use.

The crop recommendation system employing machine learning methods will be covered in this study. For sustainable agricultural practices to be followed and to increase crop yields, crop advice is crucial. Based on several factors, including nitrogen (N), phosphorus (P), potassium (K), and humidity, we will advise the best crop for the given site. We analyzed various algorithms like KNN, Decision Tree, Random Forest, SVM etc. But based on various accuracy levels we committed to random forest implementation. Means in this paper (...) we are going to implement a crop recommendation system using random forest algorithm. The model is allowed to train upon a large dataset and the Performance of the recommendation system is measured using accuracy score. Finally, Using the trained model we are going to predict suitable crops for land according to the given parameters. Our proposed approach can be helpful for farmers, researchers, and policymakers in making informed decisions regarding crop management and planning. -/- . (shrink)

Personalized learning experiences have undergone revolutionary transformations as a result of the use of artificial intelligence (AI) into education. The application of AI-driven adaptive learning methods designed especially for the Parakh assessment system's multiple-choice question (MCQ) selection is examined in this abstract. In order to dynamically evaluate a student's ability and modify the question complexity in real time, the suggested method makes use of machine learning models. The system carefully chooses questions that address each learner's unique learning gaps and offer (...) suitable challenge levels based on past performance data and question information. Preprocessing assessment data, extracting features from student interaction logs, and creating a recommendation system to improve the accuracy of MCQ selection are all part of the methodology. Evaluation measures like knowledge retention rates, time to completion, and response accuracy are utilized to evaluate the effectiveness of the system. By optimizing learning outcomes, this AI-based strategy seeks to provide a more stimulating and productive assessment environment. The method might completely change the way formative evaluations are carried out and guarantee that every student gets a customized education that is in line with their particular academic requirements. (shrink)

David Hull accounts for the success of science in terms of an invisible hand mechanism, arguing that it is difficult to reconcile scientists' self-interestedness or their desire for recognition with traditional philosophical explanations for the success of science. I argue that we have less reason to invoke an invisible hand mechanism to explain the success of science than Hull implies, and that many of the practices and institutions constitutive of science are intentionally designed by scientists with an eye to realizing (...) the very goals that Hull believes need to be explained by reference to an invisible hand mechanism. Thus, I reduce the scope of Hull's invisible hand explanation and supplement it by appealing to a hidden hand explanation. (shrink)

In my ethnographic research on death and dying in contemporary Finland, I explore how Finns facing end of life due to a long-term illness or other terminal condition seek to orient themselves and make meaning with cultural tools such as imagery, language, and metaphysical thinking. My primary research material is based on extensive fieldwork at Terhokoti Hospice and in the cancer clinic of Helsinki University Hospital, where I have had numerous conversations with terminally ill patients. This paper seeks to explore (...) the way in which metaphysical aesthetics is assuming the role that religious thinking has traditionally played. When the role of institutional religion is diminishing, it becomes important to understand how emotional and spiritual resolution can be arrived at by means of aesthetics. (shrink)

The Dredging Analysis and Decision Support System (DADSS) is a comprehensive tool designed to optimize dredging operations by integrating environmental and operational data. Traditional dredging methods often suffer from inefficiencies, high costs, and inadequate planning, which can lead to significant environmental impacts and operational delays. DADSS addresses these challenges by leveraging advanced data analytics and visualization tools to enhance decision-making throughout the dredging process. The system is capable of predicting sediment behaviour, evaluating environmental impacts, and generating cost-benefit analyses to support (...) informed project planning and execution. By promoting stakeholder collaboration and providing up-to-date information, DADSS aims to streamline dredging processes, reduce operational costs, and ensure compliance with environmental regulations. This paper outlines the objectives, methodologies, and anticipated outcomes of implementing DADSS, emphasizing its potential to transform dredging operations into more efficient and environmentally sustainable practices. Through detailed case studies and practical applications, this research aims to highlight the significance of DADSS in addressing the pressing challenges of modern dredging activities. (shrink)

Güvenilirci (reliabilist) bilgi teorisi, çağdaş epistemik gerekçelendirme kuramları içerisinde, dışsalcı (externalist) kuramın bir türü olarak kendisine yer bulmaktadır. Kısaca, bir inancı gerekçelendiren şeyin o inancın oluşturulduğu sürecin güvenilirliği olduğunu öne süren bu yaklaşım, bu bilişsel süreçleri özne dışı unsurlara bağladığı içinde dışsalcı bir pozisyonda yer almaktadır. Bu bilgi teorisinin tam karşı konumunda yer alan içselci (internalist) bilgi teorisi ise, özne merkezli bir yaklaşımla, doğru inancı gerekçelendirecek yöntemin, kişinin kendi zihinsel yapısından yola çıkarak, belli kognitif süreçler sonucunda ulaşılabileceğini öne sürmektedir. Epistemik (...) gerekçelendirme kuramları içerisinde birçok tartışmada kendisine yer bulan bu iki bilgi teorisi, kendi içerisinde de birçok farklı kurama kapı aralamıştır. Burada içselci bilgi teorisinden ortaya çıkan erişim içselciliği, farkındalık içselciliği gibi kuramları ve dışsalcı bilgi teorisinden ortaya çıkan süreç güvenilirciliği, gösterge güvenilirciliği ve erdem güvenilirciliği gibi farklı türden kuramları örnek olarak verebiliriz. Öte yandan çağdaş epistemolojideki bu tartışmalar, dini epistemoloji içerisinde de kendisine yer bulmuştur. Özellikle Alvin Plantinga, kendi dini epistemolojisi içerisinde dışsalcı bir tutum sergilemiş ve son dönem çalışmaları içerisinde de güvenilirci bir anlayışla Tanrı inancının epistemik mahiyetini ortaya koymaya çalışmıştır. Bu makalede öncelikle dışsalclık ve onun bir türü olan güvenilirci bilgi anlayışını ve bu kuramlara getirilen eleştirileri ele almaya çalışacağız, daha sonra A. Plantinga’nın son dönem dini epistemolojisinin de yönünü belirleyen güvence (warrant) kavramını açıklayıp, bu kavramın bütün teist dinlere uygulanabilirliğini sorgulayacağız. (shrink)

: In most educational institutions the student’s attendance is taken manually by using an attendance sheet, given by the faculty member in a class. The Current attendance marking methods are monotonous and time consuming. Manually recorded attendance can be easily tampered with. And it is also very difficult to actually verify the status of each student in a classroom environment with distributed branches whether the students are actually responding or not. Hence this paper is proposed to tackle these issues. Authentication (...) is a significant issue in system control in computer based communication. Human face recognition is an important branch of biometric verification and has been widely used in many applications, such as video monitor systems, human-computer interaction and network security. Face recognition technology is the least intrusive and one of the fastest biometric technologies invented so far. The accurate recognition of a person is the sole aim of a face recognition system and this identification may be used for further processing. The methods to exploit this physical feature have seen a great change since the advent of image processing techniques. It measures overall facial structure, distances between eyes, nose, mouth, and jaw edges. Here, the camera detects and recognizes the person based on these features. The proposed system will update the attendance once the students face is matched with the template database. (shrink)

The Aristotelian view that the moral virtues–the virtues of character informed by practical wisdom–are essential to an individual's happiness, and are thus in an individual's self-interest, has been little discussed outside of purely scholarly contexts. With a few exceptions, contemporary philosophers have tended to be suspicious of Aristotle's claims about human nature and the nature of rationality and happiness. But recent scholarship has offered an interpretation of the basic elements of Aristotle's views of human nature and happiness, and of reason (...) and virtue, that brings them more into line with common-sense thinking and with contemporary philosophical and empirical psychology. This makes it fruitful to reexamine the question of the role of virtue in self-interest. (shrink)

Taste is an important aspect for the assessment of medicinal plants as such assessment helps to determine the therapeutic property and application of medicinal plants. Traditionally, plant taste has been assessed based on human sensory perception. This project aims at developing a machine learning (ML) model that will quantify and predict plant taste in terms of their chemical composition. Given the dataset of chemical compounds, the model will relate a specific compound to the known taste types: sweet, bitter, pungent, sour, (...) salty. The methodology in this encompasses data preprocessing, feature extraction, and supervised learning techniques over the preparation of the inference model. Major steps include training over labeled data and validating the accuracy over cross-validation. In addition, techniques of web scraping and API integration are used in order to expand the dataset with the properties of medicinal plants from a chemical standpoint. The last model will be a tool for researchers and practitioners within the field of pharmacology and herbal medicine so as to have a more rapid and more objective evaluation of plant taste, which could thus be useful in identifying new applications of medicinal interest. (shrink)

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

Ateistlerin teizmi reddetme gerekçeleri, genellikle kötülük sorununun teizme karşı en güçlü argüman olduğunu iddia etmelerinde yatmaktadır. Nitekim ateizme göre teizm, bu soruna başarılı bir şekilde cevap verememektedir. Bununla birlikte kötülük sorununun sadece teistler için bir problem olmadığı iddia edilebilir. Bizde bu makale içerisinde bu savdan yola çıkarak, yakın dönemde Yujin Nagasawa’nın geliştirdiği “sistematik kötülüğün varoluşsal sorunu” açısından bu iddiayı ele almaya çalıştık. Bu sorun, başlangıçta, yalnızca dünyadaki belirli olayların veya belirli olay türlerinin kötü olduğunu değil, aynı zamanda insan varoluşunun dayandığı (...) tüm biyolojik sistemlerin kötü olduğunu göstererek, teizm için bir meydan okuma yaratmaktadır. Ancak hem teistlerin hem de ateistlerin tipik olarak dünyanın genel olarak iyi olduğunu ve içinde yaşamaktan mutlu ve minnettar olmamız gerektiğini onaylayan varoluşsal iyimserliği benimsedikleri düşünüldüğünde, kötülüğün bu versiyonu, teizm için olduğu kadar, ateizm içinde bir problem olmaktadır. Makale içerisinde sorunun bu versiyonuna yanıt verirken ateizmin teizme kıyasla önemli bir dezavantajla karşı karşıya kalması nedeniyle, bunun ateizme karşı güçlü bir argüman olabileceğini iddia ediyoruz. (shrink)

This paper explores how technology can address challenges for undertrial prisoners in India, who often face prolonged detentions due to systemic delays and limited resources. Focusing on legal assistance, case management, and prisoner welfare, the research demonstrates how technology can improve access to justice, speed up case processing, and support inmate welfare. Secure communication tools enable prisoners to connect with lawyers, streamlining legal aid and providing timely case updates. Pilot projects show promising results, with a 30% reduction in case-processing times (...) and a 40% improvement in lawyer-prisoner communication. Despite infrastructure and training challenges, the report recommends scalable tech solutions across Indian prisons, urging government collaboration and policy reforms to digitally transform the criminal justice system. Ultimately, the findings underscore technology’s potential to create a more accessible, efficient, and equitable justice system for undertrial prisoners. (shrink)

This paper considers the relevance of the Duhem-Quine thesis in economics. In the introductory discussion which follows, the meaning of the thesis and a brief history of its development are detailed. The purpose of the paper is to discuss the effects of the thesis in four specific and diverse theories in economics, and to illustrate the dependence of testing the theories on a set of auxiliary hypotheses. A general taxonomy of auxiliary hypotheses is provided to demonstrate the confounding of auxiliary (...) hypotheses with the testing of economic theory. (shrink)

Usually, modular construction involves the off-site manufacturing of standard building components in a factory before the components are assembled on the construction site. It is common to use terms like "prefabrication," "off-site construction," and "modular construction" interchangeably. The construction of modular constructions nowadays is flourishing all over the globe. The roots of the Albanian prefabricated constructions are extended for the first time around the 1970s. This paper will indeed analyze some recently built modular construction in Albania, considering and comparing it (...) with international case studies. The demand for new construction in Albania is rising rapidly. Currently, the most common structures are cast-in-place beam-column designs, driven by both traditional mindsets and industrial capabilities. However, with Albania's economic growth, there is an increasing need for affordable, quickly built, and technologically advanced buildings. Modular construction, which assembles prefabricated modules on-site, offers a solution. This method aligns with bioclimatic design principles, reducing environmental impact and optimizing resources, marking a shift toward sustainability in the construction industry. The purpose of this article is to explore the potential integration of “modular construction techniques” with “bioclimatic design concepts” to create buildings that are environmentally friendly, energy-efficient, and multipurpose by function. This study explores the use of modular construction techniques in conjunction with bioclimatic techniques to increase “building sustainability”. Combining these tactics encourages energy efficiency and a reduced environmental effect, making people far more resilient and weather-adaptable. The synergy between the two of them is necessary. (shrink)

The rapid advancement of artificial intelligence (AI) technologies has revolutionized various industries, including the realm of education and career guidance. This project endeavors to harness the power of AI to develop a sophisticated career guidance application that offers personalized and effective recommendations to students and job seekers. The primary objective of this project is to address the limitations of traditional career guidance methods, which often lack customization and fail to adapt to individual preferences, skills, and aspirations. Through the integration of (...) AI algorithms, NLP techniques, and ML models, our application aims to provide accurate interest assessments, skill matching, and tailored educational pathways. (shrink)

Literature reviews have traditionally been a simple exercise in reporting the current relevant research, both to provide an overview of the current status of the field, and perhaps to draw attention to controversies. From the perspective of positivist research traditions, it was important to neutrally report all the relevant research, which was assumed to be foundational. In this article, written for the Applied Critical Realism special issue of Journal of Critical Realism, I use my own research to illustrate how a (...) literature review might look if it were non-foundational and guided by the principles of immanent critique. Immanent critique is central to Bhaskar’s philosophical methodology but has not been much applied in critical realist empirical research. Following a brief introduction to immanent critique, its history and relation to other ways of grounding knowledge, an excerpt from a literature review is used as backdrop for an extended discussion about various potential applications, and impl... (shrink)

The proposed system will be implemented as an online website equipped with a user-friendly interface designed to cater to the intuitive navigation needs of undergraduate students. The frontend technologies selected will prioritize usability and responsiveness, ensuring seamless interaction across devices. Meanwhile, robust backend and database technologies will be employed to securely store and efficiently retrieve educational content and user data.

In today's digital age, the need for accurate and efficient language translation tools is more crucial than ever, particularly for bridging communication gaps between diverse linguistic communities. The primary purpose of this work is to provide an efficient solution for translating website content from English to Hindi, thereby promoting inclusivity and accessibility in the digital space. The methodology involves using the Google Translate API for accurate translations and employing web scraping techniques to retrieve content from user-specified URLs. The application enables (...) users to input a URL, automatically scrape its HTML content, and display the translated text in a user-friendly format. Key results demonstrate that the tool effectively translates various web pages, preserving context and meaning while providing immediate access to crucial information. Major conclusions highlight the importance of such tools in bridging communication gaps, enhancing user engagement with government websites, and facilitating better understanding of services among Hindi-speaking populations. The successful implementation of this project underscores the potential for expanding access to information in multilingual societies and suggests avenues for further development, including additional language support and integration with other online services. Overall, this work contributes to the growing field of language translation technologies [5] by providing a practical application that meets the pressing needs of users in an increasingly interconnected world. (shrink)

Highway construction projects are often complicated and need careful management. This proposes the development of real time monitoring dashboard specially designed for highway road construction projects. The project is mainly useful for transportation planners, civil engineers, project managers, surveyors, constructors, government authorities, safety inspectors. Traditional monitoring methods often involve manual inspections and periodic reporting, which can lead to delays and inefficiencies. Existing approaches generally rely on static data collection and do not provide real-time insights into construction progress, resource allocation. The (...) proposed solution integrates advanced technologies such as data analytics to provide an interactive platform. This dashboard will offer real-time visualization of construction progress, resource usage, expenses, facilitating immediate decision-making and management. (shrink)

“Doğal din” terimi, bazen doğanın kendisinin ilahi olduğu bir panteistik doktrine atıfta bulunur. “Doğal teoloji” terimi ise aksine, başlangıçta gözlemlenen doğal gerçekler temelinde (ve bazen) Tanrı’nın varlığını savunmaya yönelik projeye atıfta bulunur. Bununla birlikte çağdaş felsefede, hem “doğal din” hem de “doğal teoloji” genel olarak, dinî veya teolojik konuları araştırmak için insana, “doğal” olan bilişsel yetilerini – akıl, algı, içgözlem- kullanma projesini ifade eder. Doğal din veya teoloji, mevcut anlayış üzerine, doğayla ilgili ampirik araştırmalarla sınırlı olmamakla birlikte ayrıca panteistik bir (...) sonuçla da bağlantılı değildir. Bununla birlikte o, özel doğal olmayan yetilere (ESP, telepati, mistik deneyim) veya doğaüstü bilgi kaynaklarına (kutsal metinler, vahiy teolojisi, inanç otoriteleri, doğrudan doğaüstü iletişim) hitap etmekten kaçınır. Genel olarak, doğal din veya teoloji (bundan böyle “doğal teoloji” olarak anılacaktır), diğer felsefi ve bilimsel girişimlerle aynı rasyonel inceleme standartlarına uymayı amaçlamaktadır ve aynı değerlendirme ve eleştiri yöntemlerine tabidir. (shrink)

Epistemolojik olarak bilgiye başvuran ve bilme faaliyetinde bulunan insanın, Kur’an’da önemli bir yeri vardır. Buradaki bilme faaliyetini, salt teolojik bir buyruk olarak, yani Allah’ı bilmek olarak değil, doğru bilgi ile yanlış bilgi arasında hem teorik hem de ahlaki bir farklılık olarak anlamak ve Kur’an'da insana epistemik özellikler atfedildiğini ve böylece insanın epistemik başarılarından dolayı övüldüğünü söyleyebilmek mümkündür. Bu açıdan bakıldığında herhangi bir önermeye yönelik olarak rasyonel bir tutum benimseyen, yani bilen özne ile bu faaliyette isteyerek ve istemeyerek giren kişinin durumu (...) arasında bir fark olduğu açıktır. Doğrusu bu farkın epistemik önceliği kadar, ahlaki önceliği de dikkate değerdir. Nitekim buradaki ahlaki üstünlük, doğru bilgiyi hedefleme ve ona ulaşma noktasında ortaya çıkan erdemdir. Doğru bilgiye ulaşmanın entelektüel bir erdem olduğu düşünüldüğünde, Kur’an’ın Erdem epistemolojisi üzerinden değerlendirilmesi bu noktada önemlidir. Doğrusu erdemli bir bilişsel faaliyet, Kur'an’da açık bir şekilde ana fikir olarak ortaya konulur ve buna göre cehaletten kaçınmak ve doğru bilgiye ulaşmak için erdemli bir çaba göstermek önem taşır. Kur’an’daki ifadeleri bilgeliğe ulaşmak olarak anlayacak olursak, asıl hedef; bilgi ve anlayışımızın, entelektüel ve ahlaki vicdanımızı veya takvamızı güçlendirmesi için kullanılabileceği söylenilebilir ve bu inanç, erdem epistemolojisine dayalı bir yaklaşım içerisinde şekillendirilebilir. (shrink)

The health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high accuracy. (...) The experimental setup includes a dataset consisting of healthy and diseased leaf images of different plant species. The dataset is preprocessed to remove noise and augmented to address the issue of class imbalance. The CNN model is then trained, validated, and tested on this dataset. (shrink)

This paper explores the view that the vocabulary of metaphysical fundamentality is opaque, using Sider’s theory of structure as a motivating case study throughout. Two conceptions of fundamentality are distinguished, only one of which can explain why the vocabulary of fundamentality is opaque.

Though many agree that we need to account for the role that social factors play in inquiry, developing a viable social epistemology has proved to be difficult. According to Longino, it is the processes that make inquiry possible that are aptly described as "social," for they require a number of people to sustain them. These processes, she claims, not only facilitate inquiry, but also ensure that the results of inquiry are more than mere subjective opinions, and thus deserve to be (...) called "knowledge." In this paper, I (a) explain Longino's epistemology, and (b) defend it against charges that have recently been raised by Kitcher, Schmitt, and Solomon. Longino rightly recognizes that not all social factors have the same (adverse) affect on inquiry. She also recommends that we distinguish knowledge from mere opinion by reference to a social standard. (shrink)

It is important to provide security and efficient data exchange in cloud infrastructure and achieve traceability and anonymity of data. mean For high levels of safety and performance in one Anonymously, this article addresses the topic It allows data to be exchanged and stored between members of the same group in the cloud. Proposed arrangement creates unique and traceable group data sharing policies using group signatures and special agreements Strategies to accomplish these goals. this Facilitates anonymous communication between systems Public (...) clouds have many users and. Real people following up when needed. Also, the system implements the main agreement programs to make it easier for team members to. Obtain a shared session key for secure data exchange and storage facilities. Basic generation processes a Symmetric Balanced Incomplete Block Theory (SBIBD), significantly reducing the workload of team members a shared session key must be introduced. In cloud computing contexts, the suggested system guarantees efficiency and security for group data sharing, as shown by theoretical analysis and experimental validation. (shrink)

Underwater Wireless Sensor Networks (UWSNs) are pivotal for various applications, including oceanographic data collection, environmental monitoring, and naval operations. However, the harsh underwater environment poses challenges in designing efficient routing protocols, especially concerning energy consumption and data transmission reliability. This paper proposes an optimized depth-based routing protocol for energy-aware data transmission in UWSNs, focusing on minimizing energy usage while ensuring robust data delivery. The protocol dynamically adjusts transmission power based on node depth and residual energy, reducing communication overhead and prolonging (...) network lifetime. (shrink)