With the progress of neuroscience, there is a growing curiosity and conjecture surrounding neuro-WiFi and its potential influence on neurological diseases. The concept of neuro-WiFi, which entails wireless communication between neurons in the brain, has the potential to profoundly transform our comprehension of brain function and create novel opportunities for therapy. Nevertheless, like any revolutionary technology, there are apprehensions regarding potential targets for neurological illnesses. Wireless communication networks in the brain may create an avenue for malevolent individuals to exploit weaknesses and obtain unauthorized access to neural data. The utilization of neuro-WiFi generates apprehensions regarding privacy, security, and ethical implications. As thus, it is essential to establish strong controls and processes to assure its safe use, in order to optimize its advantages while avoiding any risks related to targeting neurological diseases.
{"title":"Neuro-WiFi: Will It Be an Icebreaking Target for Neurological Diseases?","authors":"Josué Pinto","doi":"10.15354/si.23.co157","DOIUrl":"https://doi.org/10.15354/si.23.co157","url":null,"abstract":"With the progress of neuroscience, there is a growing curiosity and conjecture surrounding neuro-WiFi and its potential influence on neurological diseases. The concept of neuro-WiFi, which entails wireless communication between neurons in the brain, has the potential to profoundly transform our comprehension of brain function and create novel opportunities for therapy. Nevertheless, like any revolutionary technology, there are apprehensions regarding potential targets for neurological illnesses. Wireless communication networks in the brain may create an avenue for malevolent individuals to exploit weaknesses and obtain unauthorized access to neural data. The utilization of neuro-WiFi generates apprehensions regarding privacy, security, and ethical implications. As thus, it is essential to establish strong controls and processes to assure its safe use, in order to optimize its advantages while avoiding any risks related to targeting neurological diseases.","PeriodicalId":150634,"journal":{"name":"Science Insights","volume":"48 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139131191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The utilization of artificial intelligence (AI) possesses the capacity to fundamentally transform the landscape of mental health care through the provision of very valuable therapeutic interventions. AI possesses the capacity to evaluate extensive quantities of data, enabling it to aid in the identification of early signs of mental health concerns and provide tailored solutions that cater to specific requirements. The utilization of virtual therapists powered by AI has the potential to provide a secure environment for persons experiencing social anxiety or worries associated with stigma. This form of therapy offers continuous support and diminishes the obstacles that hinder individuals from seeking assistance. In addition, AI algorithms possess the capability to effectively identify and analyze patterns and trends derived from many sources, including social media posts and smartphone usage. This enables the assessment of an individual’s mental health and facilitates the provision of timely solutions. Through the utilization of natural language processing and sentiment analysis, AI has the potential to augment current therapeutic practices by proficiently monitoring patient advancements and analyzing therapeutic dialogues. Therefore, the incorporation of AI into the realm of mental health intervention holds promise in enhancing accessibility, cost, and efficacy, while mitigating the strain on conventional healthcare systems.
{"title":"Could Artificial Intelligence be a Therapeutic for Mental Issues?","authors":"Pedro Darzi","doi":"10.15354/si.23.co132","DOIUrl":"https://doi.org/10.15354/si.23.co132","url":null,"abstract":"The utilization of artificial intelligence (AI) possesses the capacity to fundamentally transform the landscape of mental health care through the provision of very valuable therapeutic interventions. AI possesses the capacity to evaluate extensive quantities of data, enabling it to aid in the identification of early signs of mental health concerns and provide tailored solutions that cater to specific requirements. The utilization of virtual therapists powered by AI has the potential to provide a secure environment for persons experiencing social anxiety or worries associated with stigma. This form of therapy offers continuous support and diminishes the obstacles that hinder individuals from seeking assistance. In addition, AI algorithms possess the capability to effectively identify and analyze patterns and trends derived from many sources, including social media posts and smartphone usage. This enables the assessment of an individual’s mental health and facilitates the provision of timely solutions. Through the utilization of natural language processing and sentiment analysis, AI has the potential to augment current therapeutic practices by proficiently monitoring patient advancements and analyzing therapeutic dialogues. Therefore, the incorporation of AI into the realm of mental health intervention holds promise in enhancing accessibility, cost, and efficacy, while mitigating the strain on conventional healthcare systems.","PeriodicalId":150634,"journal":{"name":"Science Insights","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139214615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Artificial intelligence (AI) in the context of mental health presents a complex scenario characterized by both advantageous prospects and inherent hazards. AI possesses the capacity to fundamentally transform the field of mental healthcare through the provision of individualized and readily accessible assistance. AI systems possess the capacity to analyze extensive quantities of data and identify patterns, thereby offering valuable assistance to doctors in the diagnosis of mental diseases, development of personalized treatment programs, and even prediction of relapses. Furthermore, there is ongoing development in the field of AI to create chatbots that utilize AI technology and serve as virtual therapists. These chatbots aim to provide individuals with continuous emotional support, available at any time of the day. Nonetheless, this technological advancement also gives rise to apprehensions about issues of privacy, ethical considerations, and an excessive dependence on automated systems. Robust security measures are crucial in safeguarding the anonymity of consumers while utilizing AI systems due to the sensitive nature of mental health data. Furthermore, it is important to consider the potential for dehumanization when patients only depend on interventions driven by machines, as opposed to fostering human connection and empathy. Achieving an optimal equilibrium between technical progress and preserving interpersonal connection remains a key aspect in fully using the capabilities of AI in the field of mental health, while simultaneously ensuring its effects on individual welfare are protected.
{"title":"Artificial Intelligence for Mental Health: A Double-Edged Sword","authors":"Rajani Yadav","doi":"10.15354/si.23.co13","DOIUrl":"https://doi.org/10.15354/si.23.co13","url":null,"abstract":"Artificial intelligence (AI) in the context of mental health presents a complex scenario characterized by both advantageous prospects and inherent hazards. AI possesses the capacity to fundamentally transform the field of mental healthcare through the provision of individualized and readily accessible assistance. AI systems possess the capacity to analyze extensive quantities of data and identify patterns, thereby offering valuable assistance to doctors in the diagnosis of mental diseases, development of personalized treatment programs, and even prediction of relapses. Furthermore, there is ongoing development in the field of AI to create chatbots that utilize AI technology and serve as virtual therapists. These chatbots aim to provide individuals with continuous emotional support, available at any time of the day. Nonetheless, this technological advancement also gives rise to apprehensions about issues of privacy, ethical considerations, and an excessive dependence on automated systems. Robust security measures are crucial in safeguarding the anonymity of consumers while utilizing AI systems due to the sensitive nature of mental health data. Furthermore, it is important to consider the potential for dehumanization when patients only depend on interventions driven by machines, as opposed to fostering human connection and empathy. Achieving an optimal equilibrium between technical progress and preserving interpersonal connection remains a key aspect in fully using the capabilities of AI in the field of mental health, while simultaneously ensuring its effects on individual welfare are protected.","PeriodicalId":150634,"journal":{"name":"Science Insights","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139215270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The domains of mental health and artificial intelligence (AI) are undergoing rapid advancements, exhibiting the capacity to mutually influence one another in significant ways. The increasing prevalence of mental health illnesses has prompted the exploration of potential remedies in the field of AI, which show promise in the areas of early detection, prevention, and therapy. Sophisticated machine learning algorithms possess the capability to evaluate extensive volumes of data, including social media posts and voice patterns, with the objective of detecting patterns and symptoms associated with mental illness. This facilitates the implementation of more focused interventions and individualized treatment strategies. Furthermore, chatbots utilizing AI have the capability to deliver round-the-clock assistance to those undergoing acute distress or grant them access to therapy in cases where waiting lists are extensive. Nevertheless, it is of utmost importance to guarantee the incorporation of ethical issues throughout the use of AI in the field of mental healthcare. In order to achieve successful integration, it is imperative to address many concerns, including but not limited to privacy, bias, and accurate diagnosis. However, the convergence of mental health and AI offers a distinct prospect to transform our approach to mental disease and improve the availability of care for countless individuals globally.
{"title":"The Role of Artificial Intelligence in Mental Health: A Review","authors":"Koki Shimada","doi":"10.15354/si.23.re820","DOIUrl":"https://doi.org/10.15354/si.23.re820","url":null,"abstract":"The domains of mental health and artificial intelligence (AI) are undergoing rapid advancements, exhibiting the capacity to mutually influence one another in significant ways. The increasing prevalence of mental health illnesses has prompted the exploration of potential remedies in the field of AI, which show promise in the areas of early detection, prevention, and therapy. Sophisticated machine learning algorithms possess the capability to evaluate extensive volumes of data, including social media posts and voice patterns, with the objective of detecting patterns and symptoms associated with mental illness. This facilitates the implementation of more focused interventions and individualized treatment strategies. Furthermore, chatbots utilizing AI have the capability to deliver round-the-clock assistance to those undergoing acute distress or grant them access to therapy in cases where waiting lists are extensive. Nevertheless, it is of utmost importance to guarantee the incorporation of ethical issues throughout the use of AI in the field of mental healthcare. In order to achieve successful integration, it is imperative to address many concerns, including but not limited to privacy, bias, and accurate diagnosis. However, the convergence of mental health and AI offers a distinct prospect to transform our approach to mental disease and improve the availability of care for countless individuals globally.","PeriodicalId":150634,"journal":{"name":"Science Insights","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139212950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the age of information, digital education has become a crucial avenue for educational transformation. The “double-teacher classroom” is an exemplary model of digital education, with the potential to optimize educational resource distribution and advance the development of balanced education. This article expounds on the fundamental components of the “double-teacher classroom” model and its advantages as a digital education paradigm, with the purpose of further popularizing its application.
{"title":"“Double-Teacher Classroom”: A Successful Practice of Digital Education in China","authors":"Xiangqian Zhao","doi":"10.15354/si.23.re828","DOIUrl":"https://doi.org/10.15354/si.23.re828","url":null,"abstract":"In the age of information, digital education has become a crucial avenue for educational transformation. The “double-teacher classroom” is an exemplary model of digital education, with the potential to optimize educational resource distribution and advance the development of balanced education. This article expounds on the fundamental components of the “double-teacher classroom” model and its advantages as a digital education paradigm, with the purpose of further popularizing its application.","PeriodicalId":150634,"journal":{"name":"Science Insights","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139209324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Coenzyme Q10 (CoQ10) is an endogenous molecule that is ubiquitously found throughout the cellular composition of the human organism. The aforementioned substance plays a crucial function in the production of energy and serves as a potent antioxidant, safeguarding cells against harm induced by free radicals. As individuals progress in age, there is a tendency for the amounts of CoQ10 in their bodies to diminish, resulting in a range of health consequences. Research has indicated that the addition of CoQ10 through supplementation can yield a multitude of advantageous outcomes. Research has demonstrated that it can enhance energy production in cardiac cells and mitigate oxidative stress, so contributing to the improvement of heart health. Furthermore, CoQ10 has demonstrated potential in the management of several illnesses such as hypertension, migraines, and fibromyalgia, attributed to its capacity to enhance mitochondrial activity and alleviate inflammation. Moreover, existing research indicates that the utilization of this particular coenzyme may potentially enhance fertility through the improvement of sperm quality, as well as contribute to the maintenance of good skin by facilitating collagen synthesis. Notwithstanding these possible advantages, it is essential to get guidance from a healthcare practitioner prior to commencing any supplementation protocol due to the potential variability of individual requirements.
{"title":"Coenzyme Q10: A Ubiquitous Supplemental Enzyme Contributing to the Health","authors":"Igor Amerl Silić","doi":"10.15354/si.23.re825","DOIUrl":"https://doi.org/10.15354/si.23.re825","url":null,"abstract":"Coenzyme Q10 (CoQ10) is an endogenous molecule that is ubiquitously found throughout the cellular composition of the human organism. The aforementioned substance plays a crucial function in the production of energy and serves as a potent antioxidant, safeguarding cells against harm induced by free radicals. As individuals progress in age, there is a tendency for the amounts of CoQ10 in their bodies to diminish, resulting in a range of health consequences. Research has indicated that the addition of CoQ10 through supplementation can yield a multitude of advantageous outcomes. Research has demonstrated that it can enhance energy production in cardiac cells and mitigate oxidative stress, so contributing to the improvement of heart health. Furthermore, CoQ10 has demonstrated potential in the management of several illnesses such as hypertension, migraines, and fibromyalgia, attributed to its capacity to enhance mitochondrial activity and alleviate inflammation. Moreover, existing research indicates that the utilization of this particular coenzyme may potentially enhance fertility through the improvement of sperm quality, as well as contribute to the maintenance of good skin by facilitating collagen synthesis. Notwithstanding these possible advantages, it is essential to get guidance from a healthcare practitioner prior to commencing any supplementation protocol due to the potential variability of individual requirements.","PeriodicalId":150634,"journal":{"name":"Science Insights","volume":"233 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139212510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Suicide prevention requires a comprehensive and multi-dimensional approach that addresses the interplay of individual, social, and environmental factors contributing to suicidal behavior. How to prevent it is crucial and is a must-do task. It is critical to examine individual-level interventions such as mental health screenings and access to mental health services, as well as population-level strategies including awareness campaigns and public policy initiatives. Consequently, it is essential to emphasize the significance of fostering community support, strengthening protective factors, and promoting resilience to counteract suicide risk. Additionally, the role of education, stigma reduction, and collaboration between various stakeholders in implementing effective suicide prevention programs also play a pivotal part in it.
{"title":"Suicide Prevention: A Must-Do Task","authors":"Fuzhou Wang","doi":"10.15354/si.23.co118","DOIUrl":"https://doi.org/10.15354/si.23.co118","url":null,"abstract":"Suicide prevention requires a comprehensive and multi-dimensional approach that addresses the interplay of individual, social, and environmental factors contributing to suicidal behavior. How to prevent it is crucial and is a must-do task. It is critical to examine individual-level interventions such as mental health screenings and access to mental health services, as well as population-level strategies including awareness campaigns and public policy initiatives. Consequently, it is essential to emphasize the significance of fostering community support, strengthening protective factors, and promoting resilience to counteract suicide risk. Additionally, the role of education, stigma reduction, and collaboration between various stakeholders in implementing effective suicide prevention programs also play a pivotal part in it.","PeriodicalId":150634,"journal":{"name":"Science Insights","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125875221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tree-mining is an essential system of techniques and software technologies for multi-level and multi-angled operations in databases. Pertaining to the purview of this manuscript, several applications of various sub-techniques of tree mining have been explored. The current write-up is aimed at investigating the major applications and challenges of different types and techniques of tree mining, as there have been patchy and scanty investigations so far in this context. To accomplish these tasks, the author has reviewed some of the latest and most pertinent research articles of the last two decades to investigate the titled aspects of this technique.
{"title":"Tree-Mining: Understanding Applications and Challenges","authors":"A. Pathak, Sameer Saxena","doi":"10.15354/si.23.re605","DOIUrl":"https://doi.org/10.15354/si.23.re605","url":null,"abstract":"Tree-mining is an essential system of techniques and software technologies for multi-level and multi-angled operations in databases. Pertaining to the purview of this manuscript, several applications of various sub-techniques of tree mining have been explored. The current write-up is aimed at investigating the major applications and challenges of different types and techniques of tree mining, as there have been patchy and scanty investigations so far in this context. To accomplish these tasks, the author has reviewed some of the latest and most pertinent research articles of the last two decades to investigate the titled aspects of this technique.","PeriodicalId":150634,"journal":{"name":"Science Insights","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127258344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Suicide is a complex and multifaceted public health issue that has been intensively studied to identify its contributing factors. Serotonin, a neurotransmitter essential for affective regulation and mood control, has been linked to suicidal propensity. Understanding the relative contribution of serotonin’s genetic versus non-genetic influences is essential for the development of effective preventive measures, given that the etiology of suicide involves both genetic and non-genetic factors. This review seeks to compare the influence of genetic and non-genetic factors on the association between serotonin and suicide risk. Examining serotonin-related gene polymorphisms, with a focus on the serotonin transporter gene, the serotonin receptor 1A, and the serotonin receptor 2A, genetic contributions are investigated. This review emphasizes the complex interplay between genetic and non-genetic contributions to serotonin’s role in suicide by synthesizing existing literature. Understanding these complex interactions can provide a comprehensive framework for targeted interventions and individualized methods of suicide prevention and mental health promotion. Future research should incorporate large-scale genetic studies, genetic and non-genetic interaction analyses, and longitudinal designs in order to further elucidate the complex relationship between serotonin and suicide risk.
{"title":"A Comparison of Genetic versus Non-Genetic Contribution of Serotonin to Suicide","authors":"jeonah Lee","doi":"10.15354/si.23.re611","DOIUrl":"https://doi.org/10.15354/si.23.re611","url":null,"abstract":"Suicide is a complex and multifaceted public health issue that has been intensively studied to identify its contributing factors. Serotonin, a neurotransmitter essential for affective regulation and mood control, has been linked to suicidal propensity. Understanding the relative contribution of serotonin’s genetic versus non-genetic influences is essential for the development of effective preventive measures, given that the etiology of suicide involves both genetic and non-genetic factors. This review seeks to compare the influence of genetic and non-genetic factors on the association between serotonin and suicide risk. Examining serotonin-related gene polymorphisms, with a focus on the serotonin transporter gene, the serotonin receptor 1A, and the serotonin receptor 2A, genetic contributions are investigated. This review emphasizes the complex interplay between genetic and non-genetic contributions to serotonin’s role in suicide by synthesizing existing literature. Understanding these complex interactions can provide a comprehensive framework for targeted interventions and individualized methods of suicide prevention and mental health promotion. Future research should incorporate large-scale genetic studies, genetic and non-genetic interaction analyses, and longitudinal designs in order to further elucidate the complex relationship between serotonin and suicide risk.","PeriodicalId":150634,"journal":{"name":"Science Insights","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124175072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, artificial intelligence (AI) has emerged as a significant field of study due to its increasing impact on national development. China has made significant progress in AI research, development, and application over the past few decades. The purpose of this article is to identify the causes underlying China’s accelerated advancement in AI in order to stimulate further thought on AI’s continued development in China.
{"title":"China’s Competitive Advantages in Artificial Intelligence Development","authors":"Baosen Li, Yucai Gao","doi":"10.15354/si.23.re626","DOIUrl":"https://doi.org/10.15354/si.23.re626","url":null,"abstract":"In recent years, artificial intelligence (AI) has emerged as a significant field of study due to its increasing impact on national development. China has made significant progress in AI research, development, and application over the past few decades. The purpose of this article is to identify the causes underlying China’s accelerated advancement in AI in order to stimulate further thought on AI’s continued development in China.","PeriodicalId":150634,"journal":{"name":"Science Insights","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122173649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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