Journal of Scientific and Technical Research
Issue 2, 2023
Original Articles
Abstract
The textile industry has undergone a remarkable transformation in recent years with the integration of nanotechnology. This article highlights the revolutionary impact of nanotechnology on fabrics, elucidating its diverse applications and transformative effects on textile properties and performance. Some aspects of synthesis, characterization and types of nanomaterials have been discussed. Some major applications of textiles embedded with nanomaterials have also been discussed. In addition to material-focused aspects, the review explores the economic landscape of nanotechnology in the textile industry, outlining the current market trends, challenges, and future prospects. The article concludes with a forward-looking perspective on the evolving role of nanotechnology in textiles, emphasizing the need for continued research and collaboration to harness its full potential. This review gives overview of applications of nanotechnology in textile for different sectors.
The textile industry has undergone a remarkable transformation in recent years with the integration of nanotechnology. This article highlights the revolutionary impact of nanotechnology on fabrics, elucidating its diverse applications and transformative effects on textile properties and performance. Some aspects of synthesis, characterization and types of nanomaterials have been discussed. Some major applications of textiles embedded with nanomaterials have also been discussed. In addition to material-focused aspects, the review explores the economic landscape of nanotechnology in the textile industry, outlining the current market trends, challenges, and future prospects. The article concludes with a forward-looking perspective on the evolving role of nanotechnology in textiles, emphasizing the need for continued research and collaboration to harness its full potential. This review gives overview of applications of nanotechnology in textile for different sectors.
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The rising demand for parking and security in public spaces prompted us to come up with this system. The major cause for this is a scarcity of parking space. Traditional parking methods cannot be employed nowadays since they are inefficient at using space; so, different parking systems are required. The offered technique assists the user in finding a free parking space while also keeping the car secure. Tracking parking spots is also important, which may be accomplished with an Internet of Things system equipped with sensors. The objective of the work is to create a system to lower the manpower needed in a parking area, and making it more safe, automated, and easier for the drivers to park their car. In this work, we use of Internet of Thingsbased car parking system, RFID regulating the movement of the toll gates, allowing vehicles to enter and depart parking spots. A camera in front recording the picture of a car going through the toll gate and automatically collects the number plate of the vehicle, using Automatic Number Plate Detection System (ANPR) as well as other important information such as time and parking slot, which is saved in the database for security purposes, and also directs the Drivers to the empty slots for the parking using parking Displays. In the result of the work shows how the system works and will be beneficial to us in terms of Efficiency, Less complexity, and Automation of whole process. We will also discuss about using Mobile Application to receive updates regarding parking space left, position of parking, and other updates in real time real-time.
The rising demand for parking and security in public spaces prompted us to come up with this system. The major cause for this is a scarcity of parking space. Traditional parking methods cannot be employed nowadays since they are inefficient at using space; so, different parking systems are required. The offered technique assists the user in finding a free parking space while also keeping the car secure. Tracking parking spots is also important, which may be accomplished with an Internet of Things system equipped with sensors. The objective of the work is to create a system to lower the manpower needed in a parking area, and making it more safe, automated, and easier for the drivers to park their car. In this work, we use of Internet of Thingsbased car parking system, RFID regulating the movement of the toll gates, allowing vehicles to enter and depart parking spots. A camera in front recording the picture of a car going through the toll gate and automatically collects the number plate of the vehicle, using Automatic Number Plate Detection System (ANPR) as well as other important information such as time and parking slot, which is saved in the database for security purposes, and also directs the Drivers to the empty slots for the parking using parking Displays. In the result of the work shows how the system works and will be beneficial to us in terms of Efficiency, Less complexity, and Automation of whole process. We will also discuss about using Mobile Application to receive updates regarding parking space left, position of parking, and other updates in real time real-time.
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Abstract
NIDS plays a crucial role in safeguarding computer networks against cyber threats. This work explores the application of deep learning techniques in enhancing NIDS capabilities. A subset of machine learning called deep learning has demonstrated remarkable potential in identifying complex patterns within network traffic data. By leveraging CNN and RNN the proposed NIDS achieves superior accuracy in detecting various types of intrusions, including anomalies and known attack patterns. The model is more flexible and effective at spotting new threats because it can gather relevant features on its own from raw network data. An overview of deep learning’s application to NIDS is given in this paper. In this work, we will discuss various DL architectures such as CNN and RNN and their use in feature extraction, anomaly detection, and classification of network traffic. We also emphasize the benefits and difficulties of employing deep learning for intrusion detection, such as data pre-treatment and model complexity training on large-scale datasets that help the NIDS perform well in terms of generalization and real-time prediction accuracy. Moreover, the integration of deep learning allows for the system to continuously learn and improve its detection accuracy over time. We demonstrate how Deep Learningbased NIDS can enhance intrusion detection’s accuracy and robustness in the dynamic and complex cyber threat environment through a review of previous studies
NIDS plays a crucial role in safeguarding computer networks against cyber threats. This work explores the application of deep learning techniques in enhancing NIDS capabilities. A subset of machine learning called deep learning has demonstrated remarkable potential in identifying complex patterns within network traffic data. By leveraging CNN and RNN the proposed NIDS achieves superior accuracy in detecting various types of intrusions, including anomalies and known attack patterns. The model is more flexible and effective at spotting new threats because it can gather relevant features on its own from raw network data. An overview of deep learning’s application to NIDS is given in this paper. In this work, we will discuss various DL architectures such as CNN and RNN and their use in feature extraction, anomaly detection, and classification of network traffic. We also emphasize the benefits and difficulties of employing deep learning for intrusion detection, such as data pre-treatment and model complexity training on large-scale datasets that help the NIDS perform well in terms of generalization and real-time prediction accuracy. Moreover, the integration of deep learning allows for the system to continuously learn and improve its detection accuracy over time. We demonstrate how Deep Learningbased NIDS can enhance intrusion detection’s accuracy and robustness in the dynamic and complex cyber threat environment through a review of previous studies
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In this study, digital security focuses on imminent cybersecurity for remote workstations and protection from future threats. This work proposes how digital security broadens cybersecurity energies that provide an outlook of cybersecurity in the light of targets, threats, and preventive measures. Remote work cybersecurity research emphasizes risks associated with personal devices and home networks. Post-COVID’19, cybersecurity requires training, virtual private networks (VPNs), and encryption that makes a robust security around the users. Collaboration tools require improved security, and human factors like phishing are crucial. The threat of ransomware to remote workers is increasing. The emphasis is on a thorough approach to protect remote work from changing risks. For instance, machine learning improves intrusion detection by learning from prior attacks, while artificial intelligence (AI) able to identify unusual online banking activity and enhances digital security by automating processes, speeding up responses, and adjusting to changing threats. Furthermore, a global parallel is a proactive manner in healthy cybersecurity, accentuating the worldwide prerequisite to strengthening digital security in a post-COVID-19 world of digital energy
In this study, digital security focuses on imminent cybersecurity for remote workstations and protection from future threats. This work proposes how digital security broadens cybersecurity energies that provide an outlook of cybersecurity in the light of targets, threats, and preventive measures. Remote work cybersecurity research emphasizes risks associated with personal devices and home networks. Post-COVID’19, cybersecurity requires training, virtual private networks (VPNs), and encryption that makes a robust security around the users. Collaboration tools require improved security, and human factors like phishing are crucial. The threat of ransomware to remote workers is increasing. The emphasis is on a thorough approach to protect remote work from changing risks. For instance, machine learning improves intrusion detection by learning from prior attacks, while artificial intelligence (AI) able to identify unusual online banking activity and enhances digital security by automating processes, speeding up responses, and adjusting to changing threats. Furthermore, a global parallel is a proactive manner in healthy cybersecurity, accentuating the worldwide prerequisite to strengthening digital security in a post-COVID-19 world of digital energy
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This study compares the password security techniques between Argon2 and Bcrypt to determine an optimal approach to prevent cyber-attacks and manage memory utilization using actual data and study. We examine numerous datasets and studies to regulate the aids and drawbacks of Argon2 and Bcrypt, focusing on defending against attacks and the use of memory. According to our data, Argon2 outperforms Bcrypt due to its superior memory management and resistance to brute force attacks. The data also highlights Argon2’s capability to defend against new GPU-based attacks, where Bcrypt shows its flaws. This work proposes to enhance the application of Argon2 and prove that Argon2 is an optimal possibility to increase password security through this study and compares the password security techniques using Argon2 and Bcrypt. This work examines numerous data sets and studies to determine the benefits and drawbacks of Argon2 and Bcrypt focused on defending against attacks and using memory.
This study compares the password security techniques between Argon2 and Bcrypt to determine an optimal approach to prevent cyber-attacks and manage memory utilization using actual data and study. We examine numerous datasets and studies to regulate the aids and drawbacks of Argon2 and Bcrypt, focusing on defending against attacks and the use of memory. According to our data, Argon2 outperforms Bcrypt due to its superior memory management and resistance to brute force attacks. The data also highlights Argon2’s capability to defend against new GPU-based attacks, where Bcrypt shows its flaws. This work proposes to enhance the application of Argon2 and prove that Argon2 is an optimal possibility to increase password security through this study and compares the password security techniques using Argon2 and Bcrypt. This work examines numerous data sets and studies to determine the benefits and drawbacks of Argon2 and Bcrypt focused on defending against attacks and using memory.
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Electronic Health Records (EHRs) have revolutionized the healthcare landscape by enabling the digitized storage and management of patient information. This work explores the critical role of EHRs in facilitating healthcare research and driving evidence based on medical practices. The integration of blockchain technology presents a promising data security approach for EHRs. Blockchain technology is considered a vital component in informational technology. It has an important place in the digital age we live in and has made a great impact on people’s lives. Additionally, blockchain technology is expected to improve existing IT infrastructure in many areas in the coming years. Recent technological developments have led to significant advances in healthcare. When sharing private health information, Information security is unfavorable to integrating and communicating with electronic health records (EHR). In this, choosing the best model of blockchain for security and reliability. Electronic health records in healthcare need a precise method to analyze the effect of different models of blockchain on their work. This study uses empirical studies to evaluate the effect of blockchain gives new ideas and methods for further workers. This work study collected responses from many experts in the field of medical management to evaluate the effect of different models of blockchain. In addition to many ideas of these experts, a decision-making model is used in the study to eliminate confusion arising from external studies and organize information regarding the content of the chosen blockchain model. Fuzzy analytical network analysis (F-ANP) is applied to calculate the weight of model, and the same method as fuzzy preference sequence (TOPSIS) medical ideal is used to evaluate the results of other methods. problem-solving. Additionally, the results from this empirical research will serve as a tool for selecting the most appropriate blockchain model to maintain the absence of EHR breaches.
Electronic Health Records (EHRs) have revolutionized the healthcare landscape by enabling the digitized storage and management of patient information. This work explores the critical role of EHRs in facilitating healthcare research and driving evidence based on medical practices. The integration of blockchain technology presents a promising data security approach for EHRs. Blockchain technology is considered a vital component in informational technology. It has an important place in the digital age we live in and has made a great impact on people’s lives. Additionally, blockchain technology is expected to improve existing IT infrastructure in many areas in the coming years. Recent technological developments have led to significant advances in healthcare. When sharing private health information, Information security is unfavorable to integrating and communicating with electronic health records (EHR). In this, choosing the best model of blockchain for security and reliability. Electronic health records in healthcare need a precise method to analyze the effect of different models of blockchain on their work. This study uses empirical studies to evaluate the effect of blockchain gives new ideas and methods for further workers. This work study collected responses from many experts in the field of medical management to evaluate the effect of different models of blockchain. In addition to many ideas of these experts, a decision-making model is used in the study to eliminate confusion arising from external studies and organize information regarding the content of the chosen blockchain model. Fuzzy analytical network analysis (F-ANP) is applied to calculate the weight of model, and the same method as fuzzy preference sequence (TOPSIS) medical ideal is used to evaluate the results of other methods. problem-solving. Additionally, the results from this empirical research will serve as a tool for selecting the most appropriate blockchain model to maintain the absence of EHR breaches.
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Abstract
Thoracic Outlet is an anatomical site surrounded by the anterior, middle scalene muscles, clavicle, and first rib. Thoracic Outlet Syndrome (TOS) is a condition that results from compression of neurovascular structures as they come out of the thoracic outlet, the most common site of compression being costoclavicular space. This condition is mostly seen between 20-50 years of age, mostly involving the upper extremity which is more used for daily routine work. The clinical presentation includes paraesthesia, tingling and sharp shooting pain. The present case discusses the role of conventional physiotherapy in a 64 years old female who suffered from TOS, had poor sleep quality and not getting relief despite getting Botulinum toxin injection. She was given conventional physiotherapy for three weeks, following which she reported an improvement in her symptoms and function of upper extremity.
Thoracic Outlet is an anatomical site surrounded by the anterior, middle scalene muscles, clavicle, and first rib. Thoracic Outlet Syndrome (TOS) is a condition that results from compression of neurovascular structures as they come out of the thoracic outlet, the most common site of compression being costoclavicular space. This condition is mostly seen between 20-50 years of age, mostly involving the upper extremity which is more used for daily routine work. The clinical presentation includes paraesthesia, tingling and sharp shooting pain. The present case discusses the role of conventional physiotherapy in a 64 years old female who suffered from TOS, had poor sleep quality and not getting relief despite getting Botulinum toxin injection. She was given conventional physiotherapy for three weeks, following which she reported an improvement in her symptoms and function of upper extremity.
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Abstract
Micronutrients refer to the minute quantities of essential vitamins and minerals crucial for the body’s proper functioning. Despite their small amounts, these nutrients play a pivotal role in supporting various bodily functions. Deficiencies in any of these micronutrients can lead to severe, and in some cases, life-threatening illnesses. Their functions include aiding in the synthesis of hormones, enzymes, and other essential chemicals necessary for normal growth and development. Globally, iron, vitamin A, and iodine deficiencies are the most prevalent, especially in young children and expectant mothers. Micronutrient deficiencies disproportionately affect counties with low and moderate incomes. The different facets of nutrition in rural and urban India, with a focus on the importance of nutrients, particularly in the context of childhood development. With an emphasis on how children are more vulnerable to malnutrition as a result of insufficient nutritional intake, recurrent illnesses, and unequal food distribution, it emphasises the seven types of nutrients and their significance in maintaining life. It emphasises how undernutrition stunts a child’s growth both physically and mentally, especially in rural India where it mostly affects children’s cognitive health and learning capacities. Furthermore, the text delves into micronutrients, their role in biochemical processes, and their connection to major public health issues like anaemia and iodine deficiency disorders. It emphasizes the importance of addressing undernutrition, which contributes to 45% of fatalities in children under five, according to the World Health Organization (WHO). It also touches on necessity for early intervention to develop healthy behaviours that can help manage illnesses like diabetes mellitus, as well as the longterm effects of childhood influences on lifestyle preferences. It also tackles the common problem of anaemia caused by iron deficiency and looks on ways to increase iron absorption and bioavailability with the goal of improving public health outcomes worldwide. The influence of undernutrition and micronutrient deficiencies on children’s mental health is also discussed in the text, with a focus on the connection between inadequate nutrition and emotional, behavioural, and cognitive problems. It emphasises how important it is to comprehend this relationship in order to create therapies Article can be accessed online at http://www.publishingindia.com that will improve children’s well-being and cognitive development.Lastly, the article discusses the economic ramifications of the “double burden” of malnutrition, which occurs when undernutrition coexists with overweight or obesity. It asks decision-makers and interested parties to give priority to programmes that treat both forms of malnutrition in order to lessen the detrimental effects they have on people and communities. An overview of the complex problems relating to development, health, and nutrition is given in the abstract, with special attention to children in India.
Micronutrients refer to the minute quantities of essential vitamins and minerals crucial for the body’s proper functioning. Despite their small amounts, these nutrients play a pivotal role in supporting various bodily functions. Deficiencies in any of these micronutrients can lead to severe, and in some cases, life-threatening illnesses. Their functions include aiding in the synthesis of hormones, enzymes, and other essential chemicals necessary for normal growth and development. Globally, iron, vitamin A, and iodine deficiencies are the most prevalent, especially in young children and expectant mothers. Micronutrient deficiencies disproportionately affect counties with low and moderate incomes. The different facets of nutrition in rural and urban India, with a focus on the importance of nutrients, particularly in the context of childhood development. With an emphasis on how children are more vulnerable to malnutrition as a result of insufficient nutritional intake, recurrent illnesses, and unequal food distribution, it emphasises the seven types of nutrients and their significance in maintaining life. It emphasises how undernutrition stunts a child’s growth both physically and mentally, especially in rural India where it mostly affects children’s cognitive health and learning capacities. Furthermore, the text delves into micronutrients, their role in biochemical processes, and their connection to major public health issues like anaemia and iodine deficiency disorders. It emphasizes the importance of addressing undernutrition, which contributes to 45% of fatalities in children under five, according to the World Health Organization (WHO). It also touches on necessity for early intervention to develop healthy behaviours that can help manage illnesses like diabetes mellitus, as well as the longterm effects of childhood influences on lifestyle preferences. It also tackles the common problem of anaemia caused by iron deficiency and looks on ways to increase iron absorption and bioavailability with the goal of improving public health outcomes worldwide. The influence of undernutrition and micronutrient deficiencies on children’s mental health is also discussed in the text, with a focus on the connection between inadequate nutrition and emotional, behavioural, and cognitive problems. It emphasises how important it is to comprehend this relationship in order to create therapies Article can be accessed online at http://www.publishingindia.com that will improve children’s well-being and cognitive development.Lastly, the article discusses the economic ramifications of the “double burden” of malnutrition, which occurs when undernutrition coexists with overweight or obesity. It asks decision-makers and interested parties to give priority to programmes that treat both forms of malnutrition in order to lessen the detrimental effects they have on people and communities. An overview of the complex problems relating to development, health, and nutrition is given in the abstract, with special attention to children in India.
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The third lunar exploration mission of ISRO Chandrayaan-3 has both robotics and lunar exploration and focuses on important terms such as “lunar exploration”, “robotic technology”,“ISRO”, and “Chandrayaan-3”, which emphasizes the mission’s goals, scientific endeavors, and technical advancements. This work’s goal is to monitor ISRO’s effort to perform a soft landing near the lunar South Pole, which is of significant scientific interest due to its potential for water ice deposits and constantly shadowed craters. An integrated orbiter, lander, and rover system called Chandrayaan-3 will be outfitted with state-of-theart scientific tools to investigate the lunar surface, identify elements, and research the geology and chemistry of the moon. The development of robotic technology crucial to strengthening the mission’s capabilities is emphasized. The rover can navigate hard terrain with the help of cuttingedge autonomous navigation technologies, eliminating the need for direct human interaction. Additionally, artificial intelligence and machine learning are combined to promote intelligent decision-making, mission planning optimization, and increased mission success. This review article explores the ISRO’s dedication to global cooperation, and building alliances to exchange materials, information, and experience about lunar exploration. This collaboration improves India’s standing in the international space community and adds to our developing understanding of the moon.
The third lunar exploration mission of ISRO Chandrayaan-3 has both robotics and lunar exploration and focuses on important terms such as “lunar exploration”, “robotic technology”,“ISRO”, and “Chandrayaan-3”, which emphasizes the mission’s goals, scientific endeavors, and technical advancements. This work’s goal is to monitor ISRO’s effort to perform a soft landing near the lunar South Pole, which is of significant scientific interest due to its potential for water ice deposits and constantly shadowed craters. An integrated orbiter, lander, and rover system called Chandrayaan-3 will be outfitted with state-of-theart scientific tools to investigate the lunar surface, identify elements, and research the geology and chemistry of the moon. The development of robotic technology crucial to strengthening the mission’s capabilities is emphasized. The rover can navigate hard terrain with the help of cuttingedge autonomous navigation technologies, eliminating the need for direct human interaction. Additionally, artificial intelligence and machine learning are combined to promote intelligent decision-making, mission planning optimization, and increased mission success. This review article explores the ISRO’s dedication to global cooperation, and building alliances to exchange materials, information, and experience about lunar exploration. This collaboration improves India’s standing in the international space community and adds to our developing understanding of the moon.
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3D bioprinting has revolutionized manufacturing and design. Recent advances have enabled 3D printing of biocompatible materials, cells and supporting components into complex 3D functional living tissues. Inkjet printing, stereolithography (SLA), fused deposition modeling (FDM), selective laser sintering (SLS), and digital light processing (DLP) are prominent methods, each offering unique advantages. Materials used in 3D printing span plastics are PLA and ABS, metals, resins, ceramics, and other biocompatible substances. Scaffolds, crucial for supporting intricate structures during printing can be removable or water-soluble. In tissue engineering, the exploration of materials, nanoscale properties and the advancements in tissue decellularization methods offer opportunities for generating precise extracellular matrix (ECM) scaffolds with applications in regenerative medicine and bioprinting. Understanding natural compositions, striking a balance between removing cells and preserving structural integrity, and handling possible toxicity in cell culture on decellularized substrates are some of the factors to take into account. This review article explores the diverse materials used in 3D bioprinting and the role of scaffolds in the process.
3D bioprinting has revolutionized manufacturing and design. Recent advances have enabled 3D printing of biocompatible materials, cells and supporting components into complex 3D functional living tissues. Inkjet printing, stereolithography (SLA), fused deposition modeling (FDM), selective laser sintering (SLS), and digital light processing (DLP) are prominent methods, each offering unique advantages. Materials used in 3D printing span plastics are PLA and ABS, metals, resins, ceramics, and other biocompatible substances. Scaffolds, crucial for supporting intricate structures during printing can be removable or water-soluble. In tissue engineering, the exploration of materials, nanoscale properties and the advancements in tissue decellularization methods offer opportunities for generating precise extracellular matrix (ECM) scaffolds with applications in regenerative medicine and bioprinting. Understanding natural compositions, striking a balance between removing cells and preserving structural integrity, and handling possible toxicity in cell culture on decellularized substrates are some of the factors to take into account. This review article explores the diverse materials used in 3D bioprinting and the role of scaffolds in the process.
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With ageing, there is a reduction in strength and size of the muscle in older individuals that results in functional limitations, an elevated risk of falls, disability, and death. The present study included 95 participants (42 sarcopenic obese and 53 non sarcopenic obese) who were compared for body composition, handgrip strength, gait speed and risk of fall. It was found that sarcopenic obese individuals had reduced handgrip strength, a slower gait speed, and higher fall risk in comparison to nonsarcopenic obese. Consequently, it can be concluded that sarcopenic obesity is a geriatric syndrome that causes general health problems and affects physical and functional status
With ageing, there is a reduction in strength and size of the muscle in older individuals that results in functional limitations, an elevated risk of falls, disability, and death. The present study included 95 participants (42 sarcopenic obese and 53 non sarcopenic obese) who were compared for body composition, handgrip strength, gait speed and risk of fall. It was found that sarcopenic obese individuals had reduced handgrip strength, a slower gait speed, and higher fall risk in comparison to nonsarcopenic obese. Consequently, it can be concluded that sarcopenic obesity is a geriatric syndrome that causes general health problems and affects physical and functional status
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Angiogenesis is a complex process that is involved in the pathogenesis of many diseases, including cancer and ischemic disorders. The intricate process of angiogenesis plays a pivotal role in various physiological and pathological conditions, making it a subject of profound interest in medical research. Traditional Chinese medicine (TCM) has evolved over the past few decades to explore the multifaceted aspects of the process, exploring its mechanisms, regulators, and implications in health and disease. In this review, we focus on the anti-angiogenic properties of herbal drugs in the treatment of cancer, with a focus on their antiangiogenesis effects. In addition, we discuss the potential of herbs in preventing or inhibiting angiogenesis, thereby disrupting the blood supply crucial for tumor growth and metastasis. Furthermore, we highlight the role of vascular endothelial growth factor (VEGF) signalling pathways in the regulation of tumor growth. The integration of traditional wisdom with modern scientific methodologies can enhance our understanding of the mechanisms underlying the anticancer and anti-Angiogenic effects of herbal medicines. As our understanding deepens, herbal drugs may emerge as valuable components of comprehensive and personalized cancer treatment strategies. The combination of traditional and modern medicine may offer an individualized approach to cancer treatment, addressing the heterogeneity of tumors and patient responses.
Angiogenesis is a complex process that is involved in the pathogenesis of many diseases, including cancer and ischemic disorders. The intricate process of angiogenesis plays a pivotal role in various physiological and pathological conditions, making it a subject of profound interest in medical research. Traditional Chinese medicine (TCM) has evolved over the past few decades to explore the multifaceted aspects of the process, exploring its mechanisms, regulators, and implications in health and disease. In this review, we focus on the anti-angiogenic properties of herbal drugs in the treatment of cancer, with a focus on their antiangiogenesis effects. In addition, we discuss the potential of herbs in preventing or inhibiting angiogenesis, thereby disrupting the blood supply crucial for tumor growth and metastasis. Furthermore, we highlight the role of vascular endothelial growth factor (VEGF) signalling pathways in the regulation of tumor growth. The integration of traditional wisdom with modern scientific methodologies can enhance our understanding of the mechanisms underlying the anticancer and anti-Angiogenic effects of herbal medicines. As our understanding deepens, herbal drugs may emerge as valuable components of comprehensive and personalized cancer treatment strategies. The combination of traditional and modern medicine may offer an individualized approach to cancer treatment, addressing the heterogeneity of tumors and patient responses.
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Makhana, sometimes referred to as lotus seeds or fox nuts, is a very nutritious and adaptable food that has been used in Ayurvedic treatment and traditional Asian cuisines for ages. This review examines Makhana’s remarkable nutritional value and health benefits. It has 12.8% in it. It is composed of 76.9% water, 9.7% protein, 0.1% fat, 0.02% calcium, 0.9% phosphorus, and 0.5% and 0.004% other minerals. The great medicinal potential and exceptional antioxidant qualities of foxnut are attributed to a variety of antioxidant components. Foxnut is used as a folk medicine. Makhana is a noteworthy fruit because of its low glycemic index, which helps with blood sugar regulation and makes it a good option for diabetics. Its high concentration of vital minerals, including as calcium, iron, phosphorus, potassium, and magnesium, supports cardiovascular health as well as general well-being. Makhana has several health benefits and a high nutritional content, which has led to a major increase in demand in recent years. India’s modern makhana is highly regarded throughout the nation
Makhana, sometimes referred to as lotus seeds or fox nuts, is a very nutritious and adaptable food that has been used in Ayurvedic treatment and traditional Asian cuisines for ages. This review examines Makhana’s remarkable nutritional value and health benefits. It has 12.8% in it. It is composed of 76.9% water, 9.7% protein, 0.1% fat, 0.02% calcium, 0.9% phosphorus, and 0.5% and 0.004% other minerals. The great medicinal potential and exceptional antioxidant qualities of foxnut are attributed to a variety of antioxidant components. Foxnut is used as a folk medicine. Makhana is a noteworthy fruit because of its low glycemic index, which helps with blood sugar regulation and makes it a good option for diabetics. Its high concentration of vital minerals, including as calcium, iron, phosphorus, potassium, and magnesium, supports cardiovascular health as well as general well-being. Makhana has several health benefits and a high nutritional content, which has led to a major increase in demand in recent years. India’s modern makhana is highly regarded throughout the nation
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