The purpose of this review paper is to create a piece of one-stop communication about important land zoning and land use, permits and tax guidelines for farmers venturing into agritourism in the Commonwealth of Virginia, USA. It also examines and complements prior studies on the distribution of agritourism in Virginia. A systematic literature review is conducted. Foundational legal prerequisites for agritourism and other emerging factors for the distribution of agritourism in Virginia are identified. Farmers must invest in what they are legally expected of and also learn how best to protect themselves and their business from law infringement before and during agritourism operations. Additionally, the complementary findings of the factors of agritourism distribution can guide farmers strategically in Virginia. This review paper contributes to agritourism literature and demonstrates the relevance of safety and protection against avoidable liability. This article provides excellent grounds to begin conversations with specialists such as attorneys, tax analysts, and insurance companies who can help Virginia farmers assess risk and put their businesses on the best track.
{"title":"Land Zoning, Permits, and Tax-Related Guidelines for Agritourism Operators in the Commonwealth of Virginia.","authors":"Gabriel Kwesi Yeboah, J. Samtani","doi":"10.51390/vajbts.v1i4.35","DOIUrl":"https://doi.org/10.51390/vajbts.v1i4.35","url":null,"abstract":"The purpose of this review paper is to create a piece of one-stop communication about important land zoning and land use, permits and tax guidelines for farmers venturing into agritourism in the Commonwealth of Virginia, USA. It also examines and complements prior studies on the distribution of agritourism in Virginia. A systematic literature review is conducted. Foundational legal prerequisites for agritourism and other emerging factors for the distribution of agritourism in Virginia are identified. Farmers must invest in what they are legally expected of and also learn how best to protect themselves and their business from law infringement before and during agritourism operations. Additionally, the complementary findings of the factors of agritourism distribution can guide farmers strategically in Virginia. This review paper contributes to agritourism literature and demonstrates the relevance of safety and protection against avoidable liability. This article provides excellent grounds to begin conversations with specialists such as attorneys, tax analysts, and insurance companies who can help Virginia farmers assess risk and put their businesses on the best track.","PeriodicalId":322466,"journal":{"name":"Virginia Journal of Business, Technology, and Science","volume":"63 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140250076","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 main objective of this work is to use quantified emotions and continuous evaluation to determine significant factors in predicting an individual’s overall well-being. In 2011, Martin Seligman introduced the concept of “PERMA” of factors that account for measuring an individual’s well-being. The PERMA theory separates overall well-being into five pillars of Positive Emotion, Engagement, Relationships, Meaning, and Accomplishment. Seligman’s work has led to the development of many questionnaires and scales incorporating this theory and has since become an industry standard for positive psychology. However, the origins of “PERMA” remain mostly unclear and little work has explored supporting these concepts with continuous tracking measures. The work in this present study was carried out by utilizing positive emotion and well-being tracking over a span of six-months, where positive emotion was evaluated in fifteen-minute intervals and well-being was evaluated daily. Additionally, a questionnaire was developed and prompted to the participant, and the tracked measures are evaluated as predictors for positive emotion and well-being. Many findings for well-being align closely with the theories in PERMA, with strong associations with accomplishment and relationships. Predictive factors that align with the participant’s well-being not included in PERMA include the influence of anticipation and specific physical and dietary components. Factors that influence positive emotion and daily exhaustion are analyzed and discussed as well. Distribution analysis of positive emotion emphasizes the impact of momentary, extremely happy moments for well-being. Future work should provide direction for studies to evaluate these findings and a new iteration of tracking measures.
{"title":"Analysis of Factors that Predict Positive Emotion and Well-Being Using Continuous Tracking","authors":"Kevin Sandler","doi":"10.51390/vajbts.v1i3.28","DOIUrl":"https://doi.org/10.51390/vajbts.v1i3.28","url":null,"abstract":"The main objective of this work is to use quantified emotions and continuous evaluation to determine significant factors in predicting an individual’s overall well-being. In 2011, Martin Seligman introduced the concept of “PERMA” of factors that account for measuring an individual’s well-being. The PERMA theory separates overall well-being into five pillars of Positive Emotion, Engagement, Relationships, Meaning, and Accomplishment. Seligman’s work has led to the development of many questionnaires and scales incorporating this theory and has since become an industry standard for positive psychology. However, the origins of “PERMA” remain mostly unclear and little work has explored supporting these concepts with continuous tracking measures. The work in this present study was carried out by utilizing positive emotion and well-being tracking over a span of six-months, where positive emotion was evaluated in fifteen-minute intervals and well-being was evaluated daily. Additionally, a questionnaire was developed and prompted to the participant, and the tracked measures are evaluated as predictors for positive emotion and well-being. Many findings for well-being align closely with the theories in PERMA, with strong associations with accomplishment and relationships. Predictive factors that align with the participant’s well-being not included in PERMA include the influence of anticipation and specific physical and dietary components. Factors that influence positive emotion and daily exhaustion are analyzed and discussed as well. Distribution analysis of positive emotion emphasizes the impact of momentary, extremely happy moments for well-being. Future work should provide direction for studies to evaluate these findings and a new iteration of tracking measures.","PeriodicalId":322466,"journal":{"name":"Virginia Journal of Business, Technology, and Science","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123159493","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}
Architecture is facing a singularity; the focal point of the singularity is virtual reality, virtual twins of architecture, and virtual public space, a central principle is the (so far inaccessible) authentic diachronic perception of architecture and its instantaneous creation from spaces within space. Architecture should embrace the singularity and undergo a reinvention of the discipline and the profession to rid itself of accumulated problems that often escape attention and whose essence is hidden. The prospect is to transform the paradigm of architectural design and built environment development planning, understanding architectural designs and communication with them, about them, and between interested professionals and the public. The benefits are to be numerous qualitative and quantitative increases in the performance of the profession and widespread and diverse improvements in the conditions and societal and sustainability profile of the built environment and architecture as a discipline. Based on a review of the state of the art of the field of software for architectural and building design, the paper reports on the research and development of a new software tool and virtual reality environment - Wearrecho - which fulfills the intended transformation and becomes its platform that links the virtual reality environment and parametric BIM software. The prevailing positive results of the experimental validation of their performance are presented, followed by a plan for continued research and development.
{"title":"Diverse Revolutions brought about by Designing Architecture in Virtual Reality","authors":"Michal Šourek","doi":"10.51390/vajbts.v1i6.30","DOIUrl":"https://doi.org/10.51390/vajbts.v1i6.30","url":null,"abstract":"Architecture is facing a singularity; the focal point of the singularity is virtual reality, virtual twins of architecture, and virtual public space, a central principle is the (so far inaccessible) authentic diachronic perception of architecture and its instantaneous creation from spaces within space. Architecture should embrace the singularity and undergo a reinvention of the discipline and the profession to rid itself of accumulated problems that often escape attention and whose essence is hidden. The prospect is to transform the paradigm of architectural design and built environment development planning, understanding architectural designs and communication with them, about them, and between interested professionals and the public. The benefits are to be numerous qualitative and quantitative increases in the performance of the profession and widespread and diverse improvements in the conditions and societal and sustainability profile of the built environment and architecture as a discipline. Based on a review of the state of the art of the field of software for architectural and building design, the paper reports on the research and development of a new software tool and virtual reality environment - Wearrecho - which fulfills the intended transformation and becomes its platform that links the virtual reality environment and parametric BIM software. The prevailing positive results of the experimental validation of their performance are presented, followed by a plan for continued research and development.","PeriodicalId":322466,"journal":{"name":"Virginia Journal of Business, Technology, and Science","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127790605","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}
Phosphate is a protein vital for all organismal bodies and is a resource bacteria compete for. Bakers yeast activity under several concentrations of phosphate and an alkaline solution was observed through absorbance spectroscopy as a means of measuring the various levels of inhibition from several varying concentrations. This was expected to show increased bacterial activity to increased phosphate concentration. Under higher concentrations of phosphate, Saccharomyces Cerevisiae became inhibited. This study focused on determining if the activity of the yeast changes based on the varying concentrations of phosphate solutions.
{"title":"Phosphate Limitation Susceptibility in Saccharomyces Cerevisiae","authors":"Cynthia Boyer","doi":"10.51390/vajbts.v1i2.27","DOIUrl":"https://doi.org/10.51390/vajbts.v1i2.27","url":null,"abstract":" Phosphate is a protein vital for all organismal bodies and is a resource bacteria compete for. Bakers yeast activity under several concentrations of phosphate and an alkaline solution was observed through absorbance spectroscopy as a means of measuring the various levels of inhibition from several varying concentrations. This was expected to show increased bacterial activity to increased phosphate concentration. Under higher concentrations of phosphate, Saccharomyces Cerevisiae became inhibited. This study focused on determining if the activity of the yeast changes based on the varying concentrations of phosphate solutions.","PeriodicalId":322466,"journal":{"name":"Virginia Journal of Business, Technology, and Science","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115752135","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}
Jonas Beachy, Andrew Schunn, Laura Troyer, Esther Tian
A robotic hand was designed to be remotely controlled by a user worn a glove. The glove used flex sensors to detect the position of the user’s fingers and then sent those positions to the corresponding fingers of the robotic hand via microcontrollers. The microcontrollers regulated the servo motors in order to move the robotic hand into a position mimicking the user. The robotic hand was modeled after the human hand but with only one degree of freedom for each finger, meaning the finger will only move from fully extended to fully curled without movement in any other directions. A wrist was attached to the robotic hand and it also moved with one degree of freedom. The robotic hand was completely 3-D printed out of ABS plastic and a tendon-servo system was used to flex the fingers. Elastic cord was used to extend the fingers back into the outstretched position when the servos relaxed the tendons. Several joint types for the hand were modeled and tested including ball and socket joints and revolute joints. Haptic feedback was included in the design by adding vibrational motors to the glove, and pressure sensors to the robotic hand, allowing hand-to-glove feedback. The hand was designed to be able to hold items ranging from the size of a golf ball to a tennis ball, including irregularly shaped objects within the range commonly held by human hands.
{"title":"Robotic Hand Wirelessly Controlled by User Worn Glove","authors":"Jonas Beachy, Andrew Schunn, Laura Troyer, Esther Tian","doi":"10.51390/vajbts.v1i2.23","DOIUrl":"https://doi.org/10.51390/vajbts.v1i2.23","url":null,"abstract":"A robotic hand was designed to be remotely controlled by a user worn a glove. The glove used flex sensors to detect the position of the user’s fingers and then sent those positions to the corresponding fingers of the robotic hand via microcontrollers. The microcontrollers regulated the servo motors in order to move the robotic hand into a position mimicking the user. The robotic hand was modeled after the human hand but with only one degree of freedom for each finger, meaning the finger will only move from fully extended to fully curled without movement in any other directions. A wrist was attached to the robotic hand and it also moved with one degree of freedom. The robotic hand was completely 3-D printed out of ABS plastic and a tendon-servo system was used to flex the fingers. Elastic cord was used to extend the fingers back into the outstretched position when the servos relaxed the tendons. Several joint types for the hand were modeled and tested including ball and socket joints and revolute joints. Haptic feedback was included in the design by adding vibrational motors to the glove, and pressure sensors to the robotic hand, allowing hand-to-glove feedback. The hand was designed to be able to hold items ranging from the size of a golf ball to a tennis ball, including irregularly shaped objects within the range commonly held by human hands.","PeriodicalId":322466,"journal":{"name":"Virginia Journal of Business, Technology, and Science","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124069926","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}
Though analysis has been provided on how factors like temperature or humidity impact panel efficiency, there has not been as much research conducted on how the various environmental conditions all relate with each other to affect solar energy output real-time. Having a model that correlates several environmental predictor variables known to impact solar energy can help determine what adjustments need to be made to optimize solar panel performance. In this project, prediction models like artificial neural networks (ANN), multiple linear regression (MLR), elastic, ridge, and lasso were used for relating environmental variables like high temperature, outside humidity, or rain rate to the total solar energy output produced. Data containing thirty-three different weather measurements and their respective solar energy outputs was obtained from the UK Power Networks and will be used as the principal dataset for the models. To check linear model assumptions like normality of residuals or heteroscedasticity for models like MLR, several functions provided from a model performance package in R verified whether the assumptions for the model were met. Predictive model selection was based on cross validation with k = 10 and Mean Squared Error (MSE). Neural networks were the highest performing model, but lasso and elastic net were the most interpretable models in terms of how conditions affected energy output.
{"title":"Applying Predictive Modeling to Enhancing Solar Energy","authors":"Victor Mukora","doi":"10.51390/vajbts.v1i2.15","DOIUrl":"https://doi.org/10.51390/vajbts.v1i2.15","url":null,"abstract":"Though analysis has been provided on how factors like temperature or humidity impact panel efficiency, there has not been as much research conducted on how the various environmental conditions all relate with each other to affect solar energy output real-time. Having a model that correlates several environmental predictor variables known to impact solar energy can help determine what adjustments need to be made to optimize solar panel performance. In this project, prediction models like artificial neural networks (ANN), multiple linear regression (MLR), elastic, ridge, and lasso were used for relating environmental variables like high temperature, outside humidity, or rain rate to the total solar energy output produced. Data containing thirty-three different weather measurements and their respective solar energy outputs was obtained from the UK Power Networks and will be used as the principal dataset for the models. To check linear model assumptions like normality of residuals or heteroscedasticity for models like MLR, several functions provided from a model performance package in R verified whether the assumptions for the model were met. Predictive model selection was based on cross validation with k = 10 and Mean Squared Error (MSE). Neural networks were the highest performing model, but lasso and elastic net were the most interpretable models in terms of how conditions affected energy output.","PeriodicalId":322466,"journal":{"name":"Virginia Journal of Business, Technology, and Science","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114221115","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}
Studies suggest facemask wearing and social distancing are convenient ways to prevent the spread of the coronavirus. However, people might feel an unwarranted sense of safety when engaging in these COVID-prevention behaviors, as predicted by risk compensation theory. Our field research evaluated whether risk compensation influences facemask wearing and social distancing. The evidence-based theory of risk homeostasis presumes individuals will take more risks when they feel more protected. Therefore, someone wearing a facemask should feel safer and subsequently stand closer to others. Research students tested this theory by observing facemask wearing and social distancing in various locations. These students recorded three different observations in a Qualtrics survey: 1) an individual’s gender, 2) mask-wearing behavior (wearing a facemask, wearing a facemask incorrectly, or not wearing a facemask), and 3) the estimated distance between the individual and the nearest person within a six-foot radius. Our field observations of 2,068 individuals revealed that people wearing a facemask maintained greater social/interpersonal distances than did people not wearing a facemask or wearing a facemask incorrectly. This finding supports response generalization or a positive spillover effect rather than risk compensation.
{"title":"Facemask Wearing and Social Distancing: A Test of Risk Compensation Theory","authors":"Myriam Oliver","doi":"10.51390/VAJBTS.V1I1.17","DOIUrl":"https://doi.org/10.51390/VAJBTS.V1I1.17","url":null,"abstract":"Studies suggest facemask wearing and social distancing are convenient ways to prevent the spread of the coronavirus. However, people might feel an unwarranted sense of safety when engaging in these COVID-prevention behaviors, as predicted by risk compensation theory. Our field research evaluated whether risk compensation influences facemask wearing and social distancing. The evidence-based theory of risk homeostasis presumes individuals will take more risks when they feel more protected. Therefore, someone wearing a facemask should feel safer and subsequently stand closer to others. Research students tested this theory by observing facemask wearing and social distancing in various locations. These students recorded three different observations in a Qualtrics survey: 1) an individual’s gender, 2) mask-wearing behavior (wearing a facemask, wearing a facemask incorrectly, or not wearing a facemask), and 3) the estimated distance between the individual and the nearest person within a six-foot radius. Our field observations of 2,068 individuals revealed that people wearing a facemask maintained greater social/interpersonal distances than did people not wearing a facemask or wearing a facemask incorrectly. This finding supports response generalization or a positive spillover effect rather than risk compensation.","PeriodicalId":322466,"journal":{"name":"Virginia Journal of Business, Technology, and Science","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114287494","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}
Bose Institute is Asia’s first modern research centre devoted to interdisciplinary research and bears a century old tradition of research excellence. In the experimental high-energy physics (EHEP) detector laboratory of Bose Institute, Kolkata, we are working on the R&D of Gas Electron Multiplier (GEM), straw tube detector for future heavy ion physics experiments and also developing low resistive bakelite Resistive Plate Chamber (RPC), keeping in mind high particle rate handling capacity. The main goal of our research program is the stability study and ageing study of gaseous detectors mentioned above. In this review article, the details of the R&D program of GEM detector, straw tube and RPC detectors carried out during the last five years is reported.
{"title":"R&D of gas filled detectors for high energy physics experiments","authors":"Saikat Biswas","doi":"10.51390/VAJBTS.V1I1.3","DOIUrl":"https://doi.org/10.51390/VAJBTS.V1I1.3","url":null,"abstract":"\u0000 \u0000 \u0000Bose Institute is Asia’s first modern research centre devoted to interdisciplinary research and bears a century old tradition of research excellence. In the experimental high-energy physics (EHEP) detector laboratory of Bose Institute, Kolkata, we are working on the R&D of Gas Electron Multiplier (GEM), straw tube detector for future heavy ion physics experiments and also developing low resistive bakelite Resistive Plate Chamber (RPC), keeping in mind high particle rate handling capacity. The main goal of our research program is the stability study and ageing study of gaseous detectors mentioned above. In this review article, the details of the R&D program of GEM detector, straw tube and RPC detectors carried out during the last five years is reported. \u0000 \u0000 \u0000","PeriodicalId":322466,"journal":{"name":"Virginia Journal of Business, Technology, and Science","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128392351","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}
Universities in five different states are collaborating on an original large-scale COVID-prevention effort by asking many of their students to complete an innovative survey that strategically asks them to identify areas on and around campus that are “hot spots” for spreading the coronavirus. These universities—Virginia Tech, Appalachian State, Western Michigan, University of Kansas, and University of Florida—are also observing mask wearing, social distancing, and other COVID prevention measures in their communities to analyze the risk management and wellness precautions taken by students, faculty, and the surrounding communities. Mapping hot-spot areas provides invaluable information for prevention and intervention creation.
{"title":"Community-Wide Prevention of COVID-19: A Systematic Analysis of Hot vs. Cold Spots","authors":"M. Davis, E. Geller, Zachary H Mastrich","doi":"10.51390/VAJBTS.V1I1.6","DOIUrl":"https://doi.org/10.51390/VAJBTS.V1I1.6","url":null,"abstract":"Universities in five different states are collaborating on an original large-scale COVID-prevention effort by asking many of their students to complete an innovative survey that strategically asks them to identify areas on and around campus that are “hot spots” for spreading the coronavirus. These universities—Virginia Tech, Appalachian State, Western Michigan, University of Kansas, and University of Florida—are also observing mask wearing, social distancing, and other COVID prevention measures in their communities to analyze the risk management and wellness precautions taken by students, faculty, and the surrounding communities. Mapping hot-spot areas provides invaluable information for prevention and intervention creation.","PeriodicalId":322466,"journal":{"name":"Virginia Journal of Business, Technology, and Science","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132260895","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}
Nanomedicine is a rapidly advancing field as capabilities in nanoscale materials, devices, and sensing grow. Biocompatible nanoparticles have made their way into the pharmaceutical and biomedical market in imaging, diagnosis, targeted drug delivery, and even repair. Similarly, protein therapeutics show promise for their unique combination of high biospecificity and diverse function. This brief perspective explores the merging of these two fields via light-controlled methods mediated by photon-upconverting nanoparticles. The framework of three photoactive protein therapeutic systems will be explored for their integration with upconverting nanoparticles.
{"title":"Strategies for coupling photon-upconverting nanoparticles with photoactive protein therapeutics","authors":"Michael G Bibbey, J. Cha","doi":"10.51390/VAJBTS.V1I1.9","DOIUrl":"https://doi.org/10.51390/VAJBTS.V1I1.9","url":null,"abstract":"Nanomedicine is a rapidly advancing field as capabilities in nanoscale materials, devices, and sensing grow. Biocompatible nanoparticles have made their way into the pharmaceutical and biomedical market in imaging, diagnosis, targeted drug delivery, and even repair. Similarly, protein therapeutics show promise for their unique combination of high biospecificity and diverse function. This brief perspective explores the merging of these two fields via light-controlled methods mediated by photon-upconverting nanoparticles. The framework of three photoactive protein therapeutic systems will be explored for their integration with upconverting nanoparticles.","PeriodicalId":322466,"journal":{"name":"Virginia Journal of Business, Technology, and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116509653","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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