Generative Artificial Intelligence (AI) has emerged as a powerful force at the intersection of technology and imagination, enabling machines to create novel content across diverse domains such as art, music, design, and literature. This technology is shifting the paradigm of creativity, allowing AI systems to not only automate tasks but also contribute to the creative process by generating original content that mirrors or transcends human imagination. Generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models, are (...) at the forefront of this revolution. These models are redefining how creativity is perceived, empowering both professional and amateur creators to explore new creative territories. This paper explores the role of generative AI in creative industries, examining its potential, challenges, and ethical implications. Through case studies and real-world applications, we demonstrate how generative AI is influencing various creative fields and shaping the future of human creativity. (shrink)

Generative Artificial Intelligence (AI) has emerged as a powerful force at the intersection of technology and imagination, enabling machines to create novel content across diverse domains such as art, music, design, and literature. This technology is shifting the paradigm of creativity, allowing AI systems to not only automate tasks but also contribute to the creative process by generating original content that mirrors or transcends human imagination. Generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models, are (...) at the forefront of this revolution. These models are redefining how creativity is perceived, empowering both professional and amateur creators to explore new creative territories. This paper explores the role of generative AI in creative industries, examining its potential, challenges, and ethical implications. Through case studies and real-world applications, we demonstrate how generative AI is influencing various creative fields and shaping the future of human creativity. (shrink)

The Community of Shared Future for Mankind (CSFM) concept is a comprehensive Chinese proposal for a better future of mankind. In this article, we provide a comprehensive analysis of this concept by focusing on its origin, evolution and philosophical foundation. This article deals with the origin and evolution of the CSFM concept. We show that the concept originated during the presidency of Hu Jintao, who initially used it for the domestic affairs of China. However, the usage of the concept was (...) later extended from domestic to international affairs. Though Hu Jintao conceived the CSFM concept, it is president Xi Jinping who became its greatest advocate. We explore the CSFM concept’s development and evolution into one of the most influential, diverse and dominant concepts of international relations under president Xi. Furthermore, the article explores the philosophical foundation of the CSFM concept. We argue that although CSFM concept is seen as a 21st century Chinese idea, the roots of the concept can be traced back to much earlier time in history. The concept is based on three major philosophical thoughts: Marxism, Confucianism and the philosophy of Mencius. We show that the CSFM concept is greatly influenced by Marx’s ideas such as the transformation of the world, the free association of producers, historical materialism and dialectics. We also point to a number of Confucian principles that are adopted by the CSFM concept. The CSFM concept not only adopts Confucian principles but also extends their scope from the individual level to international relations. Similarly, we also highlight that the CSFM concept is influenced by Mencius’ concepts such as universal brotherhood, responsibility towards the betterment of the world, humane governance, free trade, equal sharing of wealth and the conservation of natural resources. (shrink)

Deliberative Democracy theory is an ever-expanding field in political theory. In the present article, I aim to present the significance of Gandhian thought for the theory of deliberative democracy. Gandhi never used the term deliberation or articulated a theory of deliberative democracy specifically while expressing his notion of ideal democracy. For him, discussion, exchange of thoughts, reasoning, etc. was instinctive for democracy and not something that required to be defended within the boundaries of scholarship. I trace the central elements of (...) democracy in Gandhian thought and examine them through the lens of deliberative democracy theory. I also examine the implication of Gandhi’s formulations in India. In doing so, I would develop a richer understanding of democracy by bringing clarity to the contribution of Gandhi to the cause of deliberative democracy. (shrink)

Buddhism is a unique religious system that is not only considered as a religion to follow but also is a way of attaining enlightenment in life. Buddha shows people a path following which they can reach the ultimate goal that is liberation afterlife. Buddha’s whole approach is going through an ethical system that enriches the human mind with love and wisdom as well as prepares the human body to attain liberation. Buddhism is mainly based on the Buddha’s four noble truths (...) and noble eight-fold path which are the foundations of Buddhist ethics. This thesis concerns Buddhist ethics and its impacts on modern time. It emphasizes the fact that Buddhist ethics and morality can be the aid of all inhuman activities of the modern world. Buddhist ethical teachings are the pole star, not only for the monks-nuns or lay people rather for all human beings. In the introductory chapter, the history and background of Buddhism with the significance of Buddhist ethics in modern life have been demonstrated shortly. The next two chapters go through the introduction of Buddhism and Buddhist ethics. Buddhist values and attitudes along with the three puñña: dāna, śīla and bhāvnā have been discussed thoroughly in the fourth and fifth chapter respectively. It is impressive that whenever one will explain Buddhism, there must be magnified the Buddhist ethical views. Moreover, this thesis is all about Buddhist ethics and its relevance in human life; so, the sixth chapter is regarding the Buddhist perspective of the natural world and human life. Those perspectives of Buddha influence modern human life and its crisis. The seventh chapter has dominated Buddhist ethics as virtue ethics lighting upon contemporary perspectives. Finally, the study concludes that Buddhism and Buddhist ethics is no way can be antiquated. Buddha’s sweeping thoughts regarding life and the world has a timeless existence. If Buddhist ethical directions can be maintained in modern time by everyone then, in near future the world will be more sustainable for all sentient beings. And Buddha’s five precepts are a complete guideline to lead a moral life that will consummately take a true follower to his or her actual destiny of liberation through right mindfulness. (shrink)

Cloud computing has revolutionized how businesses store and access data, but it also introduces new risks. Securing data in the cloud requires a combination of strategic approaches, robust policies, and technological solutions. This paper explores best practices for safeguarding cloud environments, including encryption, access controls, regular security audits, and the implementation of a zero-trust architecture. By identifying key risks and offering practical solutions, this research provides a roadmap for businesses to enhance cloud security and mitigate potential threats.

Generative Artificial Intelligence (AI) is rapidly evolving as a groundbreaking technology that is reshaping the digital landscape. By harnessing the power of machine learning models, generative AI is capable of creating novel data, such as text, images, music, and even code, which has profound implications for various industries. This paper explores the rise of generative AI and its transformative impact on sectors such as healthcare, entertainment, finance, and manufacturing. We examine the key technologies behind generative AI, including Generative Adversarial Networks (...) (GANs), variational autoencoders, and transformer models. Additionally, we explore how generative AI is enhancing creativity, automating tasks, and solving complex problems, while addressing the ethical challenges and potential risks associated with its use. The paper highlights the future of generative AI as it continues to push the boundaries of digital innovation and human creativity. (shrink)

For Insect Classification there are many methods proposed. To find the more suitable classifier we have implemented two different methods of classification, Custom CNN and Transfer Learning. We observed the accuracy and loss parameters during training phase and validation phase on both Custom CNN and Transfer learning methods. In Transfer Learning we have created the base model from the pre-trained model MobileNetV2. This model is further trained on Imagenet Dataset which consists of 1.2M labeled images .We compared all attributes of (...) both models on this dataset. Recorded Accuracy and Loss for training and Validation. From the results we found that Custom CNN model works better than Transfer Learning for this dataset. This model can also be used for education and farming purpose. (shrink)

Objective: The present study aims to determine the number and position of the nutrient foramina (NF) of the human femur, tibia, and fibula and to observe the size, direction, and obliquity of the nutrient foramina. Methods: We observed 265 adult human, lower limb long bones in the Department of Anatomy of the Gaziantep University. The nutrient foramina were identified with naked eyes, and the obliquity was determined with a hypodermic needle. Gauge 20 and 24 needles were used for size determination. (...) Shape was observed with the naked eye and classified into oval and round types. The nutrient foramina location was determined by dividing total bone length into three segments, and the locations were validated by calculating foraminal index (FI). Results: Results showed that 79% of the long bones had a single nutrient foramen. More than 96% of the nutrient foramina were directed away from the knees. A total of 87% of the femoral foramina were located in the middle third, 72% of the tibial foramina were located in the proximal third, and 98% of the fibular nutrient foramina were located in the middle third of the specimens. Overall, no foramina were found on the distal third of the studied bones. Conclusion: Our study findings are in accordance to the findings from several research studies. The assessment of pathological conditions associated with the findings of foramen nutricium in our study may help clinicians and surgeons in planning treatments for applications to be performed in this region. However, it is thought that literature will be a source for basic and clinical sciences by providing reference values. (shrink)

Generative Artificial Intelligence (AI) has revolutionized numerous industries by enabling the creation of realistic and novel content across various mediums, including art, music, writing, and video. However, with this power comes a significant set of ethical challenges. These challenges revolve around issues such as authorship, deception, bias, and the potential for misuse. This paper explores the ethical concerns surrounding generative AI, examining the delicate balance between creativity and deception. By analyzing the implications of AI-generated content, including deepfakes and synthetic media, (...) the study investigates the risks associated with AI in terms of misinformation, intellectual property rights, and the authenticity of creative work. Additionally, the paper evaluates current ethical frameworks and proposes guidelines for the responsible use of generative AI. Ultimately, it aims to provide a comprehensive overview of the ethical landscape in the realm of AI-generated content. (shrink)

A Flutter-based Blood Donation System In a world where blood transfusions are critical for saving lives, a constant shortage of blood exists. This project tackles this challenge by proposing a Flutter-based Blood Donation System. This mobile application bridges the gap between blood banks, donors, and institutions needing blood. The system caters to four distinct user groups: Registered Users: These users create an account using their government ID and profile photo. They can manage their profile information, view insightful dashboards with news, (...) statistics, and personal donation history. Importantly, the system guides them through pre-donation screening tests, locates nearby donation opportunities, and allows them to respond to blood requests from institutions. Registered users receive helpful notifications about upcoming camps, urgent blood needs, and reminders for their next eligible donation. Unregistered Users: Even without registering, users can leverage the app's functionality. They can find nearby NGOs and blood donation camps on a map and utilize search filters to identify specific donation opportunities. Additionally, they have access to informative dashboards with news and statistics, and can opt-in to receive push notifications. Institution Admins: Hospitals and other institutions needing blood can register admins using a unique ID. These admins can manage their profiles, view a comprehensive list of donors, and directly contact them through calls, messages, or notifications. (shrink)

Speech Emotion Detection (SED) refers to the identification of human emotions based on speech signals. The goal of this research is to design and implement a system that can accurately classify emotions from speech using machine learning techniques. The system can be applied in various fields such as healthcare, customer service, human-computer interaction, and mental health monitoring. The paper discusses the various stages of building such a system, from collecting and preprocessing audio data to selecting machine learning models and evaluating (...) the performance of the system. A combination of feature extraction techniques and machine learning algorithms, such as Support Vector Machines (SVM) and deep learning models like Long Short-Term Memory (LSTM) networks, is employed to achieve high accuracy. (shrink)

The demand for efficient and user-friendly car rental systems has surged in recent years, necessitating the development of advanced technological solutions. This abstract presents a comprehensive overview of a novel car rental application equipped with seamless integration with Google services. The proposed system aims to streamline the process of car rental, offering users a convenient and hassle-free experience. Leveraging Google integration, the application incorporates robust features such as real-time navigation, location tracking, and optimized route planning. By harnessing Google Maps API, (...) users can effortlessly locate rental stations, explore nearby attractions, and plan their journeys with precision. Moreover, integration with Google Calendar facilitates seamless scheduling and booking management, enhancing user productivity and convenience. The application prioritizes data security and privacy, adhering to industry standards and protocols. Through innovative design and integration with Google services, this car rental application promises to revolutionize the way users engage with rental services, fostering efficiency, reliability, and user satisfaction. (shrink)

The development of a Virtual Sign Language Translator represents a significant advancement in facilitating communication between hearing and non-hearing individuals, particularly in educational and business settings. This initiative aims to bridge the communication gap by providing real-time translation of sign language into text or speech, enhancing accessibility and inclusivity. The system utilizes advanced technologies such as computer vision, machine learning, and natural language processing to accurately interpret sign language gestures. Users can interact through intuitive interfaces, enabling seamless conversion of sign (...) language into readable or audible formats. By integrating this translator into classrooms, universities, institutions, and business environments, we can promote equal participation and understanding, ensuring that information is accessible to all, regardless of hearing ability. (shrink)

In this research, we develop a machine learning model to predict the ratings of Google Play Store applications using a comprehensive dataset. Our approach includes extensive data preprocessing, feature engineering, and model optimization using Random Forest Regressor and ensemble methods. The proposed model demonstrates significant improvements in prediction accuracy, emphasizing the importance of advanced preprocessing techniques and ensemble learning in regression tasks.

Patience: Patience (or forbearance) is the state of endurance under difficult circumstances. It means persevering in the face of provocation without acting in anger or exhibiting tolerance when under stress. It is also a character trait of being steadfast. Almost everyone recognizes a need for more patience at times. It is a fruit of God's grace and an essential key to better relationships with God and fellow man. Patience not only helps to protect our minds and emotions, but it can (...) also guide us to think and view the struggle of life in a proper manner. Ibnul Qayyim [24-25], a noted Islamic scholar, has opined that our happiness in the present life and our redemption in the Hereafter depends on patience. In Islam, the importance of patience by disciples is never underestimated. The Holy Quran says, "Verily! I have rewarded them this Day for their patience; they are indeed the successful ones." (HQ, 23:111); "...to be firm or patient in pain or suffering, and adversity, and throughout all periods of panic. Such are the people of truth, the God-fearing." (HQ, 2:177); "Allah surely loves those who are the Sabireen (patient)." (HQ, 3:146); "And be patient; indeed Allah is with the patient ones." (HQ,8:46) Similarly, in Sikhism, the significance of patience has been emphasized time and again. Describing the attributes of a God-Conscious being, Guru Arjan Dev reports in his hymns. That such a person is ever in a state of steady patience and bliss. "The God-conscious being has steady patience." (Mehl 5, SGGS, p 272); "One whom He blesses with patience becomes blissful."(Mehl 5, SGGS, p 887). Shaikh Farid, a saint-poet of SGGS, stresses that one must imbibe patience in one's life to live it perfectly. "Let patience be your purpose in life; implant this within your being." (Shaikh Farid, SGGS, p 1384); "Make patience the arrow, the Creator will not let you miss the target." (Shaikh Farid, SGGS, p 1384). (shrink)

Shahāb ad-Dīn" Yahya ibn Habash ibn Amirak as-Suhrawardī, (also Shaikh al-Ishraq, Shaikh al-Maqtul) was founder of the illuminationist school (Ar. Hikmat al-ishraq; Pers. falsafaye ešrāqi ). Derived from “illumination,” a conventional translation of the Arabic term ishraq (lit. radiance, shining of the rising sun), “illuminationism” refers to the doctrine of the Ishraqiyyun, a school of philosophical and mystical thought of various Graeco-Oriental roots whose principles were propounded as an ancient “science of lights” (‘ilm al-anwar) . He chose this (...) title to distinguish his philosophical theory from mashshaī's philosophy; and he is one of the first philosophers to elaborate on an old tradition. His approach Adopted from Zoroastrian and Platonic ideas. In fact, he associates his science of lights principally with the names of Plato, Hermes, Empedokles, Pythagoras, and the ‘Oriental principle concerning light and darkness’ of the sages of ancient Iran. (shrink)

This collection brings together some of the most outstanding and representative writings of Martin Lings (1909–2005), drawn from his broad span of works. He was former Keeper of Oriental Manuscripts at the British Museum, as well as being a distinguished translator, scholar, and poet. Lings was the author of several award-winning books on subjects ranging from Sufism to Shakespeare, including "A Sufi Saint of the Twentieth Century: Shaikh Ahmad al-ʿAlawi, His Spiritual Heritage and Legacy" (1961), the best-selling "Muhammad: His (...) Life Based on the Earliest Sources" (1983, translated into over a dozen languages), and "Shakespeare in the Light of Sacred Art" (1966). He also wrote works addressing the spiritual crisis of our times, such as "The Eleventh Hour" (1987), "Ancient Beliefs and Modern Superstitions" (2001), and "A Return to the Spirit" (2005) This anthology conveys wisdom of a timeless nature—neither of the East nor of the West—which the world today desperately needs. (shrink)