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Gender Inequality

Good Parenting

Tips for Good Parenting

Tips for Good Parenting Sometimes, parents are unaware of certain flaws in their child-rearing practices. Parents often fail to guide their children in accordance with their environment and abilities, whether it’s in their hobbies, play, or relationships. Here are 5 tips for good parenting: 1. Never Compare with Others Parents handle children according to others, even if it means sending the child to an activity or interest they have no clue about, simply because a relative suggested it. The child faces pressure to persist in that activity, despite their future incapacity. 2. Being Responsible for Children’s Activities We should raise children as a responsibility, not as a task. If you view raising children as a task, you will never understand what is good or detrimental for your child. You will not be able to make the right decisions for your child. As a result, your child may end up on the wrong track. 3. Participation with Children You should fully participate in your child’s life, not just serve them. Children face many problems. However, parents’ limited efforts often force kids not to share their problems with them. The children then continue to nurture their frustration. This reflects imperfectly on their personality. That’s why parents should pay attention to their negative habits, like giving lectures at the last minute. 4. Time ManagementNot giving time to children is a bigger problem today than it has been in the past. Most parents are preoccupied with work, which prevents them from spending quality time with their children. As a result, children may turn to their friends for help with their problems. 5. The use of Gadgets Should be RestrictedChildren should limit their gadget time. Parents instill in their children the habit of using a mobile, tablet, or sitting indoors. This also impacts their physical and mental well-being. Research indicates that engaging in outdoor games enhances both mental and physical well-being.

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Female Foeticide in india

Female Foeticide in India

Female Foeticide in India: A Grave Issue That Needs Urgent AttentionFemale foeticide, the selective abortion of female fetuses, remains a deep-seated issue in India. Despite the country’s progress in various fields, this heinous practice continues, driven by cultural biases and societal norms that favor male children. The consequences of this gender-based discrimination are dire, affecting the demographic balance and social structure of the nation. The Cultural Roots of Female FoeticideIndia’s patriarchal society has long placed a higher value on male children. Sons are traditionally viewed as the heirs to family wealth, bearers of the family name, and providers for aging parents. In contrast, daughters are often seen as economic burdens due to the dowry system and other social obligations. This preference for sons, when combined with the availability of prenatal sex determination technologies, has led to the widespread practice of female foeticide. Legal Measures: The Fight Against Female FoeticideIn response to the alarming rise in sex-selective abortions, the Indian government enacted the Pre-Conception and Pre-Natal Diagnostic Techniques (PCPNDT) Act in 1994, which was later amended in 2003. The Act aims to prevent the misuse of diagnostic techniques for sex determination and imposes strict penalties on those found guilty of engaging in sex-selective practices. However, the effectiveness of this law has been undermined by inadequate enforcement, corruption, and societal acceptance of gender bias. Government Data: A Disturbing RealityThe extent of female foeticide in India is evident from official government data. The Census of India 2011 revealed a declining child sex ratio (CSR) — the number of girls per 1,000 boys aged 0-6 years — which stood at 919, down from 927 in 2001. This decline highlights the persistent preference for male children and the ongoing practice of sex-selective abortions. More recent data from the Sample Registration System (SRS), provided by the Office of the Registrar General & Census Commissioner, India, shows that the sex ratio at birth (SRB) for 2017-2019 was 899 girls per 1,000 boys. This figure underscores the continuing challenge of combating female foeticide in various regions of the country. Regional Disparities: An Uneven ChallengeThe prevalence of female foeticide varies significantly across different states in India. States such as Haryana, Punjab, and Uttar Pradesh have some of the lowest child-sex ratios, reflecting deep-rooted gender biases. For instance, Haryana’s CSR was reported at 834 girls per 1,000 boys in the 2011 Census, one of the lowest in the country. On the other hand, states like Kerala and Tamil Nadu have higher CSRs, reflecting more progressive social attitudes and better gender equality. Government Initiatives: Addressing the CrisisTo tackle the issue of female foeticide, the Indian government has launched several initiatives aimed at improving the status of girls and correcting the skewed sex ratio. One of the most recognizable initiatives is “Beti Bachao, Beti Padhao” (Save the Daughter, Educate the Daughter), which was launched in 2015.This multi-sectoral campaign targets districts with low sex ratios, aiming to improve girl child survival, protection, and education. The government has also focused on enhancing public awareness through media campaigns, community outreach, and the involvement of local leaders and religious figures. These efforts are intended to shift societal attitudes and promote the value of the girl child. The Path Forward: Overcoming ChallengesWhile significant progress has been made, the fight against female foeticide is far from over. Strengthening the enforcement of the PCPNDT Act is crucial, with stricter penalties for violators and better monitoring systems to ensure compliance. Moreover, addressing the root causes of gender bias — including economic factors, cultural norms, and lack of education — is essential for long-term change. Empowering women through education, economic opportunities, and legal rights is a key component in changing societal attitudes. Public awareness campaigns must continue to emphasize the value of girls, not just as equal citizens, but as integral to the social and economic fabric of the nation. Conclusion: A Collective ResponsibilityFemale foeticide is a grave violation of human rights and a reflection of deep-seated gender inequality in society. The skewed sex ratio serves as a stark reminder of the work that remains to be done in ensuring that every girl child is given the right to life and the opportunity to thrive. The responsibility to eradicate female foeticide lies not just with the government but with every member of society. By challenging harmful cultural norms and advocating for the rights of girls, we can work towards a future where every child, regardless of gender, is valued and cherished. To protect the futures of millions of girls and the nation’s well-being, action must be taken right now.

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Insights of Artificial Intelligence (AI)

Artificial Intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry. Artificial Intelligence is an approach to making a computer, a robot, or a product to think how smart humans are. AI is a study of how the human brain thinks, learns, decides, and works when it tries to solve problems. And finally, this study produces intelligent software systems. AI aims to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving. Intelligence is intangible. It is composed of reasoning, learning, problem-solving, perception, and linguistic intelligence. AI cannot be categorized into a single category; different types of AI are made to perform different tasks, and that is how they differ. AI can be differentiated into two types based on its functioning. AI Type I This AI is categorized into three fields, which are as follows: ANI or Artificial Narrow Intelligence AGI or Artificial General Intelligence ASI or Artificial Super Intelligence Artificial Narrow Intelligence (ANI) This is one of the most ordinary forms of AI that is currently easily available and accessible on the market. These AI systems are programmed in a way that can solve a single complication. Also, the task it will perform will be done with proper efficiency. As the name suggests, it has some narrow capabilities, like spam email filtering, suggesting a product or item for an e-commerce user, or a music-recommending service. This is the only form of AI that is available in the world today. This form can come close to human functioning in certain conditions. They can also exceed humans in many cases. But this surpassing takes place in an organized environment with a limited set of guidelines. Artificial General Intelligence (AGI) This form of AI is only a theoretical idea. It is defined as an AI that has a human level of cognitive tasks across a broad variety of domains, such as language filtering, image clearing, computational functioning, chess-playing systems, and many more. We all need to wait for a long time to build an AGI ecosystem. This system can be made using a combination of thousands of ANI systems operating sequentially, communicating with each other to copy human reasoning. AGI will be able to complete every human task in less time with better efficiency. Artificial Super Intelligence (ASI) We are entering the science-fiction colony, but ASI is likely to be the reasoning development from AGI. If ASI is created, then it will be able to cross all human abilities. This may include things like decision-making and making logical decisions. Also, things like making better art and making better emotional connections. Once we develop artificial general intelligence, AI systems will be quickly able to upgrade their abilities in ways that no one has thought of. Moreover, the gap between AGI and ASI will be relatively narrow. AI Type II Immense research in AI divides this form into two more types: Strong Artificial Intelligence and Weak Artificial Intelligence. John Searle is known as the father of these terms. The main reason was to differentiate the production level of different types of AI machines. Strong AI It is an extensive application with a wide reach. This form of application has unbelievable human-level intelligence. It uses gathering and coalition to process information. Example: Advanced Robotics Weak AI It is a small application with a finite scope. This type of AI is useful for some limited tasks. It uses supervised and unsupervised research to process information. Example: Siri, Alexa. The Essence of Artificial Intelligence The motive of artificial intelligence is to help human capacities and assist us with data resolution with broad outcomes. That is the appropriate response from a specialized viewpoint. According to a philosophical point of view, artificial intelligence can assist people in carrying on with more informative lives without hard work. Also, it assists with dealing with the complicated trap of interconnected people, organizations, states, and countries working in a valuable way for the totality of humankind. Right now, the motive behind Artificial Intelligence has split by every one of the various devices and procedures that we’ve developed in recent years—to work on the human struggle. Artificial awareness has likewise been encouraged as our final invention. The design would develop earth-shattering devices and administrations that would dramatically change how we lead our existence by eliminating conflict, imbalance, and human torture. That is all in the far future, but we’re still far from those sorts of consequences. As of now, AI is being generally utilized by organizations to improve and develop interaction efficiencies, robotize considerable agreements, and make business forecasts dependent on information instead of apprehension. As with all changes that have led up to this, the advanced work costs should be financed by enterprises and government organizations. Before it becomes available to an ordinary man. To look further into the motive behind automated reasoning and where it is made use of, you can take up an AI course and understand the subtleties of the artificial awareness course and upskill today.

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6g network

Know More About 6G!

Introduction to 6G: The successor to 5G cellular technology is 6G (sixth-generation wireless). 6G networks will be able to operate at higher frequencies than 5G networks, resulting in significantly increased capacity and decreased latency. One of the aims of the 6G internet is to provide communication with one-microsecond latency. This is 1,000 times quicker than one millisecond throughput (or 1/1000th of the latency). 6G is planned to offer 1 terabyte per second of data speed. Through orthogonal frequency-division multiple access, access points can serve numerous customers simultaneously. This degree of capacity and latency will improve the performance of 5G applications while also broadening the range of capabilities to support new applications in wireless networking, cognition, sensing, and imaging. The market for 6G technology is predicted to enable significant advancements in imaging, presence technologies, and location awareness. The computational infrastructure of 6G will automatically select the ideal place for computing, including decisions regarding data storage, processing, and sharing, using artificial intelligence (AI). Several companies (Keysight, Nokia, Ericsson, Huawei, Samsung, LG, Apple, and Xiaomi), as well as several countries (China, India, Japan, and Singapore), have shown interest in 6G networks. 6G networks are expected to exhibit even more heterogeneity (be even more diverse) than their predecessors and are likely to support applications beyond current mobile use scenarios, such as virtual and augmented reality (VR/AR), ubiquitous instant communications, pervasive intelligence, and the Internet of Things (IoT). Impact of 6G on the development of smart cities: With the rise of automation and the use of virtual reality, the need for faster, more secure communication has grown. Sixth-generation communication is the new wireless communication typology. The 6G revolution will focus on how to link and govern billions of machines in our digital future, from macro to micro to nano. Extreme dependability will go hand in hand with lightning-fast speed. 6G will lay the groundwork for a framework of pervasive wireless intelligence that will benefit mankind for decades. Innovations that emerge when cutting-edge technology in numerous disciplines converges at a thrilling rate will fuel our future. 6G will benefit global health, transportation, logistics, security, and privacy, among other things. All of this will aid in the development of smart cities. 5G, IoT, automotive, Energy, High-speed digital, AI, data analytics, satellite, Optics, and Cybersecurity are some of the major appropriate solutions. Mobility, communications, energy, water, platforms, monitoring and control performance management, predictability, and forecasting are all linked systems and resources. 6G perceives a massive quantity of data at breakneck speed, computes it, manages it, and presents it to humans. The purpose of this study is to examine the benefits and requirements of 6G technology, as well as how they may affect the development of smart, intelligent, and sophisticated cities. Emerging Technology 6G would provide a canvas on which sophisticated processes and interfaces may function with minimal human intervention. Artificial intelligence, virtual reality, greater system capability, a larger data rate, radically dependable low-latency networks, big machine-sort communication, and increased information security and user experience are just a few of the major technologies that might be used on 6G changing networks. Other related technologies include smart wearable gadgets, space and underwater communication, medical implants, self-driving cars, and drones. Phlegmatic data transmission of up to 10 GBPS would be required for virtual reality-based devices. It is estimated that the 6G system-driven wireless property would be 1,000 times more cost-effective than 5G. All of this might lead to a well-designed society that observes and protects the environment, as well as catastrophe mitigation and management. Advances in network evolution and expansion 6G networks are likely to grow into new special-purpose network solutions while also achieving complete global coverage. To achieve these objectives, the 6G network must be built in such a way that it can smoothly combine a wide range of devices and sub-networks with integrated and distributed AI capability. To achieve this, the project will investigate device programmability in dedicated networks as well as optimized cloud-native radio access and core network designs, which will aid deployment and operational flexibility. Special-purpose network solutions must be equipped with 6G to expand into new and specialized application sectors. Enablers for human-machine interaction and completely immersive digital twins are necessary to grow beyond the digital realm and towards a fully integrated fabric. Building networks to enable human augmentation and digital-physical fusion use cases, as well as the digitization of the company in general, would necessitate an entirely new level of network and cloud cooperation and collaboration. With the consumability now expected from public cloud services, the cloud and the network will need to operate effortlessly together. Enterprises are rapidly embracing the benefits of public clouds and hybrid clouds, but strict latency requirements imply that centralized public clouds aren’t enough. As a result, a flexible solution that connects centralized, edge, and on-premises clouds via agile networks will be required. Of course, this necessitates not only coordination between the network and the cloud but also investment in both. New scenarios of 6G beyond 2030 Up to 2030, new application scenarios will continue to grow. Intelligent production, intelligent living, and intelligent society are the three kinds of scenarios. After 2030, a typical use case (Sodhro et al., 2020; Khan et al., 2020). Smart Manufacturing: By applying expanding technology to agriculture and manufacturing, the digital economy may outgrow itself. Informatization will help 6G attain intelligent manufacturing. Drones, for example, are used in agriculture. Production efficiency will be boosted by robotics and virtual reality. 6G will have more important intelligent manufacturing thanks to new technology such as digital twins. Smart Living: Network of Twin Bodily Areas In 2030, the internet of synesthesia and intelligent interaction will most likely revolutionize our lives. Smart Society: In 2030, the ubiquitous coverage network will significantly increase public service coverage while also bridging the digital gap between localities. Overall, a 6G network will improve social governance and provide the groundwork for a more prosperous society. Conclusion When new generations of wireless communication networks are built to meet future demands, existing technologies are upgraded and

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