1 Do you have a smartphone?How well do you think you'd cope if someone took it from you for three weeks?This was the challenge that 26 pupils at a school in Colchester,England,recently faced as part of an experime...1 Do you have a smartphone?How well do you think you'd cope if someone took it from you for three weeks?This was the challenge that 26 pupils at a school in Colchester,England,recently faced as part of an experiment to find out how living without a phone would affect them.展开更多
Background:Telehealth has emerged as a powerful tool for managing chronic diseases and mental health conditions,offering increased access to care and improved patient outcomes.However,inequities in digital connectivit...Background:Telehealth has emerged as a powerful tool for managing chronic diseases and mental health conditions,offering increased access to care and improved patient outcomes.However,inequities in digital connectivity and technological resources have created significant disparities in access to these potentially life-changing services,disproportionately impacting marginalized and minoritized communities across the globe.Methods:Data on 473,716 telehealth encounters occurring between January 1,2022,and June 30,2023 were retrieved from the electronic health records(EHR)system used by University Hospitals.These encounters were classified into three groups:attended,canceled,and no-show.Relative risk was calculated based on age,sex,and race,and a multivariate linear regression was performed with age,sex,and race as inputs,to determine their effect on the encounter outcome.Results:Our analysis identified significant differences in relative risk between demographic groups.Patients 20-39 years of age had a high relative risk of cancellation and no-show,and Black patients demonstrated the highest relative risk for cancellation and no-show.The regression analysis illustrated a statistically significant link between no-shows and patients with a cellular plan with no other internet subscription(p<0.001),smartphone ownership(p<0.001),and not having a computer(p<0.05).Conclusions:This study highlights the clinical repercussions of the digital divide,as patients relying on a mobile phone and data plan to attend telehealth visits were more likely to no-show.Current disparities in digital connectivity for historically marginalized populations heightens the risk of creating a digital underclass.There is evidence this study may be applicable in multiple countries across the world.Further research on the causes of the observed no-shows is necessary to ensure equitable delivery of digital healthcare services.展开更多
Background:Weight-related self-stigma(WRSS)is prevalent among individuals with different types of weight status and is associated with a range of negative health outcomes.Social support and coping models explain how i...Background:Weight-related self-stigma(WRSS)is prevalent among individuals with different types of weight status and is associated with a range of negative health outcomes.Social support and coping models explain how individuals may use different coping methods to deal with their mental health needs.Psychological distress(e.g.,depression and stress)could lead to overuse of social media and smartphones.When using social media or smartphones,individuals are likely to be exposed to negative comments regarding weight/shape/size posted on the social media.Consequently,individuals who experience problematic social media use(PSMU)or problematic smartphone use(PSPU)may develop WRSS.Therefore,the present study examined the roles of PSMU and PSPU as mediators in the relationship between psychological distress and WRSS.Methods:Using convenience sampling via an online survey,622 participants with a mean age of 23.70 years(SD=4.33)completed questions assessing sociodemographic variables,psychological distress,PSMU,PSPU,WRSS,and self-reported weight and height.Results:The hierarchical regression models showed that sex(β=0.08,p=0.01),BMI(β=0.39,p<0.001),depression(β=0.21,p=0.001),stress(β=0.18,p=0.01),PSMU(β=0.09,p=0.045),and PSPU(β=0.14,p=0.001)were significant factors for WRSS.Conclusion:The mediation models showed that both PSMU and PSPU were significant mediators in the relationships between depression and stress with WRSS.The present findings provide some evidence for understanding WRSS and has important implications for developing interventions to reduce its negative impact on individuals’health and well-being.展开更多
The manufacture and obsolescence of smartphones produce numerous waste plastic accessories(e.g.,waste smartphone protective film(WSPF)),possessing immense potential for recycling.However,available recycling technologi...The manufacture and obsolescence of smartphones produce numerous waste plastic accessories(e.g.,waste smartphone protective film(WSPF)),possessing immense potential for recycling.However,available recycling technologies have limitations such as substrate damage and secondary pollutant generation.The present study aimed to develop a green disposal method that not only recycled polyethylene terephthalate(PET)from WSPF,but also reused the stripped polyacrylate(PAA)adhesive as an adsorbent to reduce solid waste generation.When the WSPF was treated in 1 mol/L NaOH solution at 90°C,the PAA hydrolyzed to two main by-products of 1-butanol and 2-ethylhexanol,weakening the binding strength between PAA and PET and then efficient separation of them.Further bench-scale test revealed that over 97.2%of detachment efficiency toward PAA was achieved during continuous treatment of 17 batches of WSPF(200 g for each)without supplement of NaOH and generation of wastewater.Meanwhile,the economic evaluation indicated that the recycling method would generate a net profit margin of 647%for the second year without considering the incurrence of new cost and input.Additionally,the pyrolysis of waste PAA enabled its conversion into potential adsorbent,which showed 2 to 4 times enhanced adsorption capacity toward styrene and ethyl acetate after modification with NaOH solution.This study provides a green method for recycling waste plastics and inspires a referable solution for solid waste treatment in the smartphone industry.展开更多
The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease(CKD).However,existing methods for detecting albumin are not conducive to point-of-care testing due ...The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease(CKD).However,existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes.This study presents a smartphone-integrated handheld automated biochemical analyzer(sHABA)designed for point-of-care testing of urinary albumin.The sHABA features a pre-loaded,disposable reagent cassette with reagents for the albumin assay arranged in the order of their addition within a hose.The smartphone-integrated analyzer can drive the reagents following a preset program,to enable automatic sequential addition.The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L.The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity(95.78%)and specificity(90.16%).This research advances the field by providing an automated detection method for albumin in a portable device,allowing even untrained individuals to monitor CKD in real time at the patient's bedside.In the context of promoting tiered diagnosis and treatment,the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.展开更多
Background:Despite growing research on parental technology use and its impacts on adolescent development,the influence of parental smartphone behavior on creativity remains understudied.This study addresses this gap b...Background:Despite growing research on parental technology use and its impacts on adolescent development,the influence of parental smartphone behavior on creativity remains understudied.This study addresses this gap by examining how parental phubbing affects adolescent creativity,exploring both direct and indirect pathways through creative self-efficacy as a mediator and problematic smartphone use(PSU)as a moderator.Methods:A total of 9111 Chinese vocational school adolescents(60.3%male;mean age=16.88 years)were recruited via convenience sampling.Participants completed validated self-report questionnaires assessing creativity,parental phubbing,creative self-efficacy,and PSU.A moderated mediation model was tested using jamovi with bootstrapping procedures(2000 resamples),controlling for gender,age,sibling status,and school type.Results:Creative self-efficacy significantly mediated the relationship between parental phubbing and adolescent creativity(indirect effect=0.061,95%CI[0.013,0.109]),while the direct effect was non-significant.PSU moderated both pathways,revealing contrasting patterns:for adolescents with high PSU,parental phubbing showed positive associations with creative self-efficacy and creativity,whereas among those with low PSU,parental phubbing demonstrated negative associations with both outcomes.Conclusion:This study reveals the complex influence of parental phubbing on adolescent creativity,with effects contingent upon adolescents’own digital engagement patterns.It emphasizes the need to balance guidance and autonomy in fostering creativity.While not endorsing phubbing,the findings challenge simplistic views of technology’s impact and stress the importance of individual differences.The results offer valuable insights for parents,educators,and policymakers supporting youth development in today’s digital family environments.展开更多
The rapid development and increasing popularity of smartphones have led to their gradual integration as essential aids in medical examinations and teaching tools.The smartphone ophthalmoscope(SO)is one of them.Specifi...The rapid development and increasing popularity of smartphones have led to their gradual integration as essential aids in medical examinations and teaching tools.The smartphone ophthalmoscope(SO)is one of them.Specifically,SO is comprised of a smartphone and an attachment.The smartphone serves as a versatile device for recording and transmitting information,while the attachment functions as a tool for phone fixation as well as focus adjustment and providing light resources,albeit with slight variations across different devices.Presently,the convenience,universality,and transferability of SO have greatly expanded its potential in fields of clinical practice and ocular teaching.The review provides a concise overview of the contemporary SO devices,elucidates the diseases amenable to assessment via SO,and outlines the various applications of SO in clinical practice and teaching.展开更多
Norfloxacin is widely used owing to its strong bactericidal effect on Gram-negative bacteria.However,the residual norfloxacin in the environment can be biomagnified via food chain andmay damage the human liver and del...Norfloxacin is widely used owing to its strong bactericidal effect on Gram-negative bacteria.However,the residual norfloxacin in the environment can be biomagnified via food chain andmay damage the human liver and delay the bone development ofminors.Present work described a reliable and sensitive smartphone colorimetric sensing system based on cobaltdoped Fe_(3)O_(4) magnetic nanoparticles(Co-Fe_(3)O_(4) MNPs)for the visual detection of norfloxacin.Compared with Fe_(3)O_(4),Co-Fe_(3)O_(4) MNPs earned more remarkably peroxidase-like activity and TMB(colorless)was rapidly oxidized to oxTMB(blue)with the presence of H_(2)O_(2).Interestingly,the addition of low concentration of norfloxacin can accelerate the color reaction process of TMB,and blue deepening of the solution can be observed with the naked eye.However,after adding high concentration of norfloxacin,the activity of nanozymewas inhibited,resulting in the gradual fading of the solution.Based on this principle,a colorimetric sensor integrated with smartphone RGB mode was established.The visual sensor exhibited good linearity for norfloxacin monitoring in the range of 0.13-2.51μmol/L and 17.5-100μmol/L.The limit of visual detectionwas 0.08μmol/L.In the actualwater sample analysis,the spiked recoveries of norfloxacin were over the range of 95.7%-104.7%.These results demonstrated that the visual sensor was a convenient and fast method for the efficient and accurate detection of norfloxacin in water,which may have broad application prospect.展开更多
This paper analyzes the global competitive landscape of smartphone technological innovation capacity using the latent semantic indexing(LSI)and the vector space model(VSM).It integrates the theory of technological eco...This paper analyzes the global competitive landscape of smartphone technological innovation capacity using the latent semantic indexing(LSI)and the vector space model(VSM).It integrates the theory of technological ecological niches and evaluates four key dimensions:patent quality,energy efficiency engineering,technological modules,and intelligent computing power.The findings reveal that USA has established strong technological barriers through standard-essential patents(SEPs)in wireless communication and integrated circuits.In contrast,Chinese mainland firms rely heavily on fundamental technologies.Qualcomm Inc.in USA and Taiwan Semiconductor Manufacturing Company(TSMC)in Chineses Taiwan have built a comprehensive patent porfolio in energy efficiency engineering.While Chinese mainland faces challenges in advancing dynamic frequency modulation algorithms and high-end manufacturing processes.Huawei Inc.in Chinese mainland leads in 5G module technology but struggles with ecosystem collaboration.Semiconductor manufacturing and radio frequency(RF)components still rely on external suppliers.This highlights the urgent need for innovation in new materials and open'source architectures.To enhance intelligent computing power,Chinese mainland firms must address coordination challenges.They should adopt scenario-driven technological strategies and build a comprehensive ecosystem that includes hardware,operating systems,and developer networks.展开更多
Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,t...Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in Thailand.The present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale(SABAS)and Bergen Social Media Addiction Scale(BSMAS).Method:A total of 801 Thai university students participated in an online survey from January 2022 to July 2022 which included demographic information,SABAS,BSMAS,and the Internet Gaming Disorder Scale-Short Form(IGDS9-SF).Results:Confirmatory Factor Analyses(CFAs)found that both the SABAS and BSMAS had a one-factor structure.Findings demonstrated adequate psychometric properties of both instruments and also supported measurement invariance across genders.Moreover,scores on the SABAS and BSMAS were correlated with scores on the IGDS9-SF.Conclusion:The results indicated that the SABAS and BSMAS are useful psychometric instruments for assessing the risk of smartphone addiction and social media addiction among Thai young adults.展开更多
The rise of industrialization and urbanization has exacerbated environmental pollution, raising public concern about environmental quality. Real-time pollutant detection and rapid responses to environmental changes ar...The rise of industrialization and urbanization has exacerbated environmental pollution, raising public concern about environmental quality. Real-time pollutant detection and rapid responses to environmental changes are crucial for safeguarding both the environment and human health. Traditional chemical analysis methods, though accurate and sensitive, are expensive, complex, and require specialized equipment and personnel. In contrast, smartphone-assisted electrochemical sensors could offer a novel, rapid, sensitive, and cost-effective solution for environmental monitoring. In this review, the working principle of electrochemical sensors was first introduced, including how their sensing elements and conversion systems work together to generate an electrical signal proportional to the concentration of the target substance. Next, the role of smartphones in this system was discussed. The challenges faced in designing smartphone assisted electrochemical sensor systems were also discussed in detail. In terms of applications, this article reviews the latest progress of smartphone assisted electrochemical sensors in detecting heavy metal ions, mycotoxins, bacteria, the veterinary drug and pesticide residues, and other compounds, and discusses their potential in environmental monitoring and public health. Despite hurdles in technology integration and data processing, smartphone-assisted electrochemical sensors are poised to become increasingly vital in environmental monitoring as technology progresses and is gradually becoming a powerful tool for cross industry monitoring and analysis.展开更多
In recent years,the application of smartphone in various fields has received great attention,and it has become a promising tool in virus detection,data processing and data exchange.During the rapid spread of COVID-19 ...In recent years,the application of smartphone in various fields has received great attention,and it has become a promising tool in virus detection,data processing and data exchange.During the rapid spread of COVID-19 around the world,many traditional detection methods have been combined with smartphone to assist in the analysis and detection of the novel coronavirus(SARS-CoV-2),including electrochemistry,fluorescence and colorimetry.With the gradual development of artificial intelligence(AI),the combination of AI and smartphone to analyze SARS-CoV-2 was also the focus of research.Based on the summary of the traditional methods combined with smartphone to detect SARS-CoV-2 virus,in addition to AI-based data processing,AI algorithms are also employed for SARS-CoV-2 detection itself.This review discussed both strategies and focused on the application of the former.The combination of AI algorithm and smartphone to detect SARS-CoV-2 has high accuracy,which is more conducive to meeting the needs of portable detection.In addition,the classification of SARS-CoV-2 virus samples in biological fluids such as blood and saliva was also discussed.Finally,this paper briefly discussed the limitations of using smartphone analysis to detect SARS-CoV-2,as well as the prospect and future development of virus detection.In conclusion,the detection methods based on smartphone and AI algorithms show great potential in the detection of SARS-CoV-2 and can be a valuable complement to traditional analysis methods.展开更多
Highly selective and remotely communicable nitrogen dioxide(NO_(2))sensing may contribute to future Internet of Things in environmental monitoring.However,room-temperature NO_(2)sensing materials such as carbon materi...Highly selective and remotely communicable nitrogen dioxide(NO_(2))sensing may contribute to future Internet of Things in environmental monitoring.However,room-temperature NO_(2)sensing materials such as carbon materials is still less than satisfactory due to their insensitive interaction with target gas.Here,polyethylene imine functionalized three-dimensional(3D)carbon framework(PEI/C framework)has been developed for enhanced selective NO_(2)sensing,via combined template synthesis and subsequent doping.Typically,the 3D PEI/C framework is observed porous shape with irregular coating.Beneficially,the response of C framework to NO_(2)increases while those of interfering gases decrease after being functionalized with PEI.Remarkably,the sensor prototypes show a 100 ppb-concentration detection limit at room temperature.Theoretically,such excellent NO_(2)sensing is attributed to the large specific surface ratio of porous 3D PEI/C framework,in which PEI serves as an active layer for target NO_(2),while a passivated one for interfering gases.Practically,such PEI/C framework sensor prototype is simulated for NO_(2)sensing device and communicated with a smartphone,showing great potential in future intelligent environmental monitoring.展开更多
Six degrees of freedom(6DoF)input interfaces are essential formanipulating virtual objects through translation or rotation in three-dimensional(3D)space.A traditional outside-in tracking controller requires the instal...Six degrees of freedom(6DoF)input interfaces are essential formanipulating virtual objects through translation or rotation in three-dimensional(3D)space.A traditional outside-in tracking controller requires the installation of expensive hardware in advance.While inside-out tracking controllers have been proposed,they often suffer from limitations such as interaction limited to the tracking range of the sensor(e.g.,a sensor on the head-mounted display(HMD))or the need for pose value modification to function as an input interface(e.g.,a sensor on the controller).This study investigates 6DoF pose estimation methods without restricting the tracking range,using a smartphone as a controller in augmented reality(AR)environments.Our approach involves proposing methods for estimating the initial pose of the controller and correcting the pose using an inside-out tracking approach.In addition,seven pose estimation algorithms were presented as candidates depending on the tracking range of the device sensor,the tracking method(e.g.,marker recognition,visual-inertial odometry(VIO)),and whether modification of the initial pose is necessary.Through two experiments(discrete and continuous data),the performance of the algorithms was evaluated.The results demonstrate enhanced final pose accuracy achieved by correcting the initial pose.Furthermore,the importance of selecting the tracking algorithm based on the tracking range of the devices and the actual input value of the 3D interaction was emphasized.展开更多
AIM:To determine the smartphone use patterns and effects of smartphone use on accommodation and convergence system of the eyes among Malaysian teenagers.METHODS:A total of 62 participants aged between 13 and 17y were ...AIM:To determine the smartphone use patterns and effects of smartphone use on accommodation and convergence system of the eyes among Malaysian teenagers.METHODS:A total of 62 participants aged between 13 and 17y were involved.A self-administered questionnaires containing 12 items was used to evaluate the smartphone usage patterns.This was followed by an eye examination,involving a battery of accommodation and convergence assessments before and after the smartphone use.The data analysis comprised descriptive statistics,paired t-test,and correlation coefficients.RESULTS:The use of smartphones is at a high level and at an optimal distance daily,with more than 6h a day watching video films,games,and completing school projects.Majority of the participants not reported eye strain factors and eye prescription changes with the use of digital devices.The use of a smartphone continuously for 30min was found to significantly decrease amplitude of accommodation,accommodative facility,and positive relative accommodation(P<0.001).Meanwhile,the lag of accommodation parameters and negative relative accommodation increased with the use of smartphones significantly(P<0.001).The near point of convergence(NPC)and distance and near negative fusional vergence decreased significantly(P<0.001).The NPC parameter was found to have a weak negative association with the frequency of smartphone use(R=-0.276,P<0.05).CONCLUSION:Frequent and continuous use of smartphones have increased visual stress and resulted in weakness of accommodation and vergence functions.Therefore,frequent break is mandatory when using a smartphone and appropriate visual hygiene,the 20-20-20 rule(every 20min,view something 20 feet away for 20s)are required during smartphone use to maintain visual function.展开更多
Android smartphones largely dominate the smartphone market. For this reason, it is very important to examine these smartphones in terms of digital forensics since they are often used as evidence in trials. It is possi...Android smartphones largely dominate the smartphone market. For this reason, it is very important to examine these smartphones in terms of digital forensics since they are often used as evidence in trials. It is possible to acquire a physical or logical image of these devices. Acquiring physical and logical images has advantages and disadvantages compared to each other. Creating the logical image is done at the file system level. Analysis can be made on this logical image. Both logical image acquisition and analysis of the image can be done by software tools. In this study, the differences between logical image and physical image acquisition in Android smartphones, their advantages and disadvantages compared to each other, the difficulties that may be encountered in obtaining physical images, which type of image contributes to obtaining more useful and effective data, which one should be preferred for different conditions, and the benefits of having root authority are discussed. The practice of getting the logical image of the Android smartphones and making an analysis on the image is also included. Although root privileges are not required for logical image acquisition, it has been observed that very limited data will be obtained with the logical image created without root privileges. Nevertheless, logical image acquisition has advantages too against physical image acquisition.展开更多
The vehicles and pedestrians ranging is one of the basic functions of advanced driving assistance system.However,most of the ranging systems can only work on workstations with high computing power.To solve this proble...The vehicles and pedestrians ranging is one of the basic functions of advanced driving assistance system.However,most of the ranging systems can only work on workstations with high computing power.To solve this problem,a lightweight algorithm is proposed to be packaged into Android application package,and be installed in Android smartphones for vehicles and pedestrians ranging.The proposed ranging system is based on the images obtained by smartphone’s monocular camera.To achieve real-time ranging,an 8-bit integer(int8)quantization algorithm is proposed to accelerate the inference of convolutional neural networks.To increase the detection precision,a zoom-in algorithm is further proposed to detect small targets in the distance.After having detected the 2D bounding boxes of vehicles and pedestrians,a pinhole ranging method is applied to estimate the distance.In order to verify the proposed algorithm,the mean average precision(mAP)and the frame per second(FPS)are first tested by using COCO dataset on Huawei P40Pro,then,the ranging precision on the real road.The experimental results show that this algorithm can successfully perform real-time ranging(15 FPS)with high precision(34.8 mAP)onto the tested smartphones.Finally,a possible mobile application based on the ranging algorithm,i.e.,distance keeping warning,is also provided.展开更多
The current limitation in maintenance budget and resources necessitates developing new cost-effective techniques for gravel roads management systems (GRMS). Thus, the Wyoming Technology Transfer Center (WYT2) has star...The current limitation in maintenance budget and resources necessitates developing new cost-effective techniques for gravel roads management systems (GRMS). Thus, the Wyoming Technology Transfer Center (WYT2) has started developing a holistic automated GRMS. Utilizing smartphones in gravel roads data collection is one of the main features in the proposed system. In this study, smartphones were used to collect gravel roads condition data in terms of International Roughness Index (IRI) and corrugation to develop an objective computational method to estimate the riding quality on gravel roads. The developed method will help local agencies to reduce subjectivity in their data collection process and support them with a solid computational justification for their evaluation data and decisions. Two analyses have been carried out to achieve the purpose of this study. Artificial Neural Network ANN method and linear regression were used to develop the riding quality model. The linear regression resulted in a model that has a 0.8242 coefficient of determination (R2) value which means that the developed riding quality model can represent 82.42% of the collected data. The achieved R2 value is considered sufficient for GRMS purposes. In addition, the developed ANN model has a prediction accuracy of 92.5%. The achieved prediction accuracy shows that the ANN model can predict the riding quality significantly better than the linear regression, with 12.5% higher accuracy. Furthermore, thresholds for the gravel roads IRI were suggested and introduced in this study to be the first IRI thresholds for gravel roads in the literature. Based on the suggested threshold, the gravel roads IRI has three classes: smooth, acceptable and rough. The gravel road segment can be classified in terms of IRI to be smooth, acceptable, or rough if its IRI value is less than 284, between 284 and 496, or more than 496 inch/mile, respectively.展开更多
文摘1 Do you have a smartphone?How well do you think you'd cope if someone took it from you for three weeks?This was the challenge that 26 pupils at a school in Colchester,England,recently faced as part of an experiment to find out how living without a phone would affect them.
文摘Background:Telehealth has emerged as a powerful tool for managing chronic diseases and mental health conditions,offering increased access to care and improved patient outcomes.However,inequities in digital connectivity and technological resources have created significant disparities in access to these potentially life-changing services,disproportionately impacting marginalized and minoritized communities across the globe.Methods:Data on 473,716 telehealth encounters occurring between January 1,2022,and June 30,2023 were retrieved from the electronic health records(EHR)system used by University Hospitals.These encounters were classified into three groups:attended,canceled,and no-show.Relative risk was calculated based on age,sex,and race,and a multivariate linear regression was performed with age,sex,and race as inputs,to determine their effect on the encounter outcome.Results:Our analysis identified significant differences in relative risk between demographic groups.Patients 20-39 years of age had a high relative risk of cancellation and no-show,and Black patients demonstrated the highest relative risk for cancellation and no-show.The regression analysis illustrated a statistically significant link between no-shows and patients with a cellular plan with no other internet subscription(p<0.001),smartphone ownership(p<0.001),and not having a computer(p<0.05).Conclusions:This study highlights the clinical repercussions of the digital divide,as patients relying on a mobile phone and data plan to attend telehealth visits were more likely to no-show.Current disparities in digital connectivity for historically marginalized populations heightens the risk of creating a digital underclass.There is evidence this study may be applicable in multiple countries across the world.Further research on the causes of the observed no-shows is necessary to ensure equitable delivery of digital healthcare services.
基金supported in part by(received funding from)the Ministry of Science and Technology,Taiwan(MOST 110-2410-H-006-115,MOST 111-2410-H-006-100)the National Science and Technology Council,Taiwan(NSTC 112-2410-H-006-089-SS2)+1 种基金the Higher Education Sprout Project,the Ministry of Education at the Headquarters of University Advancement at the National Cheng Kung University(NCKU)the 2021 Southeast and South Asia and Taiwan Universities Joint Research Scheme(NCKU 31).
文摘Background:Weight-related self-stigma(WRSS)is prevalent among individuals with different types of weight status and is associated with a range of negative health outcomes.Social support and coping models explain how individuals may use different coping methods to deal with their mental health needs.Psychological distress(e.g.,depression and stress)could lead to overuse of social media and smartphones.When using social media or smartphones,individuals are likely to be exposed to negative comments regarding weight/shape/size posted on the social media.Consequently,individuals who experience problematic social media use(PSMU)or problematic smartphone use(PSPU)may develop WRSS.Therefore,the present study examined the roles of PSMU and PSPU as mediators in the relationship between psychological distress and WRSS.Methods:Using convenience sampling via an online survey,622 participants with a mean age of 23.70 years(SD=4.33)completed questions assessing sociodemographic variables,psychological distress,PSMU,PSPU,WRSS,and self-reported weight and height.Results:The hierarchical regression models showed that sex(β=0.08,p=0.01),BMI(β=0.39,p<0.001),depression(β=0.21,p=0.001),stress(β=0.18,p=0.01),PSMU(β=0.09,p=0.045),and PSPU(β=0.14,p=0.001)were significant factors for WRSS.Conclusion:The mediation models showed that both PSMU and PSPU were significant mediators in the relationships between depression and stress with WRSS.The present findings provide some evidence for understanding WRSS and has important implications for developing interventions to reduce its negative impact on individuals’health and well-being.
基金supported by the National Natural Science Foundation of China(No.42177354)Guangzhou Basic and Applied Basic Research Scheme(No.2024A04J6358)the National Key R&D Program of China(No.2019YFC0214402).
文摘The manufacture and obsolescence of smartphones produce numerous waste plastic accessories(e.g.,waste smartphone protective film(WSPF)),possessing immense potential for recycling.However,available recycling technologies have limitations such as substrate damage and secondary pollutant generation.The present study aimed to develop a green disposal method that not only recycled polyethylene terephthalate(PET)from WSPF,but also reused the stripped polyacrylate(PAA)adhesive as an adsorbent to reduce solid waste generation.When the WSPF was treated in 1 mol/L NaOH solution at 90°C,the PAA hydrolyzed to two main by-products of 1-butanol and 2-ethylhexanol,weakening the binding strength between PAA and PET and then efficient separation of them.Further bench-scale test revealed that over 97.2%of detachment efficiency toward PAA was achieved during continuous treatment of 17 batches of WSPF(200 g for each)without supplement of NaOH and generation of wastewater.Meanwhile,the economic evaluation indicated that the recycling method would generate a net profit margin of 647%for the second year without considering the incurrence of new cost and input.Additionally,the pyrolysis of waste PAA enabled its conversion into potential adsorbent,which showed 2 to 4 times enhanced adsorption capacity toward styrene and ethyl acetate after modification with NaOH solution.This study provides a green method for recycling waste plastics and inspires a referable solution for solid waste treatment in the smartphone industry.
基金funding by the China Postdoctoral Science Foundation(Grant No.:2021M701628)the National Natural Science Foundation of China(Grant No.:82202625)+3 种基金Science and Technology Projects in Guangzhou,China(Grant No.:SL2022A04J02086)President Foundation of Nanfang Hospital,Southern Medical University,China(Grant Nos.:2021B012,and 2021C050)National Science Fund for Distinguished Young Scholars,China(Grant No.:82025024)Key project of the National Natural Science Foundation of China(Grant No.:82230080).
文摘The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease(CKD).However,existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes.This study presents a smartphone-integrated handheld automated biochemical analyzer(sHABA)designed for point-of-care testing of urinary albumin.The sHABA features a pre-loaded,disposable reagent cassette with reagents for the albumin assay arranged in the order of their addition within a hose.The smartphone-integrated analyzer can drive the reagents following a preset program,to enable automatic sequential addition.The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L.The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity(95.78%)and specificity(90.16%).This research advances the field by providing an automated detection method for albumin in a portable device,allowing even untrained individuals to monitor CKD in real time at the patient's bedside.In the context of promoting tiered diagnosis and treatment,the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.
基金supported by a special grant from the Taishan Scholars Project(Project No.tsqn202211130).
文摘Background:Despite growing research on parental technology use and its impacts on adolescent development,the influence of parental smartphone behavior on creativity remains understudied.This study addresses this gap by examining how parental phubbing affects adolescent creativity,exploring both direct and indirect pathways through creative self-efficacy as a mediator and problematic smartphone use(PSU)as a moderator.Methods:A total of 9111 Chinese vocational school adolescents(60.3%male;mean age=16.88 years)were recruited via convenience sampling.Participants completed validated self-report questionnaires assessing creativity,parental phubbing,creative self-efficacy,and PSU.A moderated mediation model was tested using jamovi with bootstrapping procedures(2000 resamples),controlling for gender,age,sibling status,and school type.Results:Creative self-efficacy significantly mediated the relationship between parental phubbing and adolescent creativity(indirect effect=0.061,95%CI[0.013,0.109]),while the direct effect was non-significant.PSU moderated both pathways,revealing contrasting patterns:for adolescents with high PSU,parental phubbing showed positive associations with creative self-efficacy and creativity,whereas among those with low PSU,parental phubbing demonstrated negative associations with both outcomes.Conclusion:This study reveals the complex influence of parental phubbing on adolescent creativity,with effects contingent upon adolescents’own digital engagement patterns.It emphasizes the need to balance guidance and autonomy in fostering creativity.While not endorsing phubbing,the findings challenge simplistic views of technology’s impact and stress the importance of individual differences.The results offer valuable insights for parents,educators,and policymakers supporting youth development in today’s digital family environments.
基金Supported by the National Natural Science Foundation of China(No.81600757)the Natural Science Foundation of Hunan Province of China(No.2021JJ40880)the Health Commission Foundation of Hunan Province of China(No.D202307027020).
文摘The rapid development and increasing popularity of smartphones have led to their gradual integration as essential aids in medical examinations and teaching tools.The smartphone ophthalmoscope(SO)is one of them.Specifically,SO is comprised of a smartphone and an attachment.The smartphone serves as a versatile device for recording and transmitting information,while the attachment functions as a tool for phone fixation as well as focus adjustment and providing light resources,albeit with slight variations across different devices.Presently,the convenience,universality,and transferability of SO have greatly expanded its potential in fields of clinical practice and ocular teaching.The review provides a concise overview of the contemporary SO devices,elucidates the diseases amenable to assessment via SO,and outlines the various applications of SO in clinical practice and teaching.
基金supported by the National Natural Science Foundation of China (No.21976211).
文摘Norfloxacin is widely used owing to its strong bactericidal effect on Gram-negative bacteria.However,the residual norfloxacin in the environment can be biomagnified via food chain andmay damage the human liver and delay the bone development ofminors.Present work described a reliable and sensitive smartphone colorimetric sensing system based on cobaltdoped Fe_(3)O_(4) magnetic nanoparticles(Co-Fe_(3)O_(4) MNPs)for the visual detection of norfloxacin.Compared with Fe_(3)O_(4),Co-Fe_(3)O_(4) MNPs earned more remarkably peroxidase-like activity and TMB(colorless)was rapidly oxidized to oxTMB(blue)with the presence of H_(2)O_(2).Interestingly,the addition of low concentration of norfloxacin can accelerate the color reaction process of TMB,and blue deepening of the solution can be observed with the naked eye.However,after adding high concentration of norfloxacin,the activity of nanozymewas inhibited,resulting in the gradual fading of the solution.Based on this principle,a colorimetric sensor integrated with smartphone RGB mode was established.The visual sensor exhibited good linearity for norfloxacin monitoring in the range of 0.13-2.51μmol/L and 17.5-100μmol/L.The limit of visual detectionwas 0.08μmol/L.In the actualwater sample analysis,the spiked recoveries of norfloxacin were over the range of 95.7%-104.7%.These results demonstrated that the visual sensor was a convenient and fast method for the efficient and accurate detection of norfloxacin in water,which may have broad application prospect.
基金supported in part by the National Social Science Foundation of China(No.20BGL203).
文摘This paper analyzes the global competitive landscape of smartphone technological innovation capacity using the latent semantic indexing(LSI)and the vector space model(VSM).It integrates the theory of technological ecological niches and evaluates four key dimensions:patent quality,energy efficiency engineering,technological modules,and intelligent computing power.The findings reveal that USA has established strong technological barriers through standard-essential patents(SEPs)in wireless communication and integrated circuits.In contrast,Chinese mainland firms rely heavily on fundamental technologies.Qualcomm Inc.in USA and Taiwan Semiconductor Manufacturing Company(TSMC)in Chineses Taiwan have built a comprehensive patent porfolio in energy efficiency engineering.While Chinese mainland faces challenges in advancing dynamic frequency modulation algorithms and high-end manufacturing processes.Huawei Inc.in Chinese mainland leads in 5G module technology but struggles with ecosystem collaboration.Semiconductor manufacturing and radio frequency(RF)components still rely on external suppliers.This highlights the urgent need for innovation in new materials and open'source architectures.To enhance intelligent computing power,Chinese mainland firms must address coordination challenges.They should adopt scenario-driven technological strategies and build a comprehensive ecosystem that includes hardware,operating systems,and developer networks.
基金This research was funded by the Ministry of Science and Technology,Taiwan(MOST 110-2410-H-006-115)the Higher Education Sprout Project,Ministry of Education to the Headquarters of University Advancement at National Cheng Kung University(NCKU)the 2021 Southeast and South Asia and Taiwan Universities Joint Research Scheme(NCKU 31),and the E-Da Hospital(EDAHC111004).
文摘Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in Thailand.The present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale(SABAS)and Bergen Social Media Addiction Scale(BSMAS).Method:A total of 801 Thai university students participated in an online survey from January 2022 to July 2022 which included demographic information,SABAS,BSMAS,and the Internet Gaming Disorder Scale-Short Form(IGDS9-SF).Results:Confirmatory Factor Analyses(CFAs)found that both the SABAS and BSMAS had a one-factor structure.Findings demonstrated adequate psychometric properties of both instruments and also supported measurement invariance across genders.Moreover,scores on the SABAS and BSMAS were correlated with scores on the IGDS9-SF.Conclusion:The results indicated that the SABAS and BSMAS are useful psychometric instruments for assessing the risk of smartphone addiction and social media addiction among Thai young adults.
文摘The rise of industrialization and urbanization has exacerbated environmental pollution, raising public concern about environmental quality. Real-time pollutant detection and rapid responses to environmental changes are crucial for safeguarding both the environment and human health. Traditional chemical analysis methods, though accurate and sensitive, are expensive, complex, and require specialized equipment and personnel. In contrast, smartphone-assisted electrochemical sensors could offer a novel, rapid, sensitive, and cost-effective solution for environmental monitoring. In this review, the working principle of electrochemical sensors was first introduced, including how their sensing elements and conversion systems work together to generate an electrical signal proportional to the concentration of the target substance. Next, the role of smartphones in this system was discussed. The challenges faced in designing smartphone assisted electrochemical sensor systems were also discussed in detail. In terms of applications, this article reviews the latest progress of smartphone assisted electrochemical sensors in detecting heavy metal ions, mycotoxins, bacteria, the veterinary drug and pesticide residues, and other compounds, and discusses their potential in environmental monitoring and public health. Despite hurdles in technology integration and data processing, smartphone-assisted electrochemical sensors are poised to become increasingly vital in environmental monitoring as technology progresses and is gradually becoming a powerful tool for cross industry monitoring and analysis.
基金the financial support from the National Natural Science Foundation of China(Nos.21605105,22204064 and 22276080)the Natural Science Foundation of Jiangsu Province,China(Nos.BK20211340 and BK20220645)。
文摘In recent years,the application of smartphone in various fields has received great attention,and it has become a promising tool in virus detection,data processing and data exchange.During the rapid spread of COVID-19 around the world,many traditional detection methods have been combined with smartphone to assist in the analysis and detection of the novel coronavirus(SARS-CoV-2),including electrochemistry,fluorescence and colorimetry.With the gradual development of artificial intelligence(AI),the combination of AI and smartphone to analyze SARS-CoV-2 was also the focus of research.Based on the summary of the traditional methods combined with smartphone to detect SARS-CoV-2 virus,in addition to AI-based data processing,AI algorithms are also employed for SARS-CoV-2 detection itself.This review discussed both strategies and focused on the application of the former.The combination of AI algorithm and smartphone to detect SARS-CoV-2 has high accuracy,which is more conducive to meeting the needs of portable detection.In addition,the classification of SARS-CoV-2 virus samples in biological fluids such as blood and saliva was also discussed.Finally,this paper briefly discussed the limitations of using smartphone analysis to detect SARS-CoV-2,as well as the prospect and future development of virus detection.In conclusion,the detection methods based on smartphone and AI algorithms show great potential in the detection of SARS-CoV-2 and can be a valuable complement to traditional analysis methods.
基金financially supported by the National Natural Science Foundation of China(No.52072184)Tianjin Research Innovation Project for Postgraduate Students(General Project,No.2022BKY035)。
文摘Highly selective and remotely communicable nitrogen dioxide(NO_(2))sensing may contribute to future Internet of Things in environmental monitoring.However,room-temperature NO_(2)sensing materials such as carbon materials is still less than satisfactory due to their insensitive interaction with target gas.Here,polyethylene imine functionalized three-dimensional(3D)carbon framework(PEI/C framework)has been developed for enhanced selective NO_(2)sensing,via combined template synthesis and subsequent doping.Typically,the 3D PEI/C framework is observed porous shape with irregular coating.Beneficially,the response of C framework to NO_(2)increases while those of interfering gases decrease after being functionalized with PEI.Remarkably,the sensor prototypes show a 100 ppb-concentration detection limit at room temperature.Theoretically,such excellent NO_(2)sensing is attributed to the large specific surface ratio of porous 3D PEI/C framework,in which PEI serves as an active layer for target NO_(2),while a passivated one for interfering gases.Practically,such PEI/C framework sensor prototype is simulated for NO_(2)sensing device and communicated with a smartphone,showing great potential in future intelligent environmental monitoring.
文摘Six degrees of freedom(6DoF)input interfaces are essential formanipulating virtual objects through translation or rotation in three-dimensional(3D)space.A traditional outside-in tracking controller requires the installation of expensive hardware in advance.While inside-out tracking controllers have been proposed,they often suffer from limitations such as interaction limited to the tracking range of the sensor(e.g.,a sensor on the head-mounted display(HMD))or the need for pose value modification to function as an input interface(e.g.,a sensor on the controller).This study investigates 6DoF pose estimation methods without restricting the tracking range,using a smartphone as a controller in augmented reality(AR)environments.Our approach involves proposing methods for estimating the initial pose of the controller and correcting the pose using an inside-out tracking approach.In addition,seven pose estimation algorithms were presented as candidates depending on the tracking range of the device sensor,the tracking method(e.g.,marker recognition,visual-inertial odometry(VIO)),and whether modification of the initial pose is necessary.Through two experiments(discrete and continuous data),the performance of the algorithms was evaluated.The results demonstrate enhanced final pose accuracy achieved by correcting the initial pose.Furthermore,the importance of selecting the tracking algorithm based on the tracking range of the devices and the actual input value of the 3D interaction was emphasized.
文摘AIM:To determine the smartphone use patterns and effects of smartphone use on accommodation and convergence system of the eyes among Malaysian teenagers.METHODS:A total of 62 participants aged between 13 and 17y were involved.A self-administered questionnaires containing 12 items was used to evaluate the smartphone usage patterns.This was followed by an eye examination,involving a battery of accommodation and convergence assessments before and after the smartphone use.The data analysis comprised descriptive statistics,paired t-test,and correlation coefficients.RESULTS:The use of smartphones is at a high level and at an optimal distance daily,with more than 6h a day watching video films,games,and completing school projects.Majority of the participants not reported eye strain factors and eye prescription changes with the use of digital devices.The use of a smartphone continuously for 30min was found to significantly decrease amplitude of accommodation,accommodative facility,and positive relative accommodation(P<0.001).Meanwhile,the lag of accommodation parameters and negative relative accommodation increased with the use of smartphones significantly(P<0.001).The near point of convergence(NPC)and distance and near negative fusional vergence decreased significantly(P<0.001).The NPC parameter was found to have a weak negative association with the frequency of smartphone use(R=-0.276,P<0.05).CONCLUSION:Frequent and continuous use of smartphones have increased visual stress and resulted in weakness of accommodation and vergence functions.Therefore,frequent break is mandatory when using a smartphone and appropriate visual hygiene,the 20-20-20 rule(every 20min,view something 20 feet away for 20s)are required during smartphone use to maintain visual function.
文摘Android smartphones largely dominate the smartphone market. For this reason, it is very important to examine these smartphones in terms of digital forensics since they are often used as evidence in trials. It is possible to acquire a physical or logical image of these devices. Acquiring physical and logical images has advantages and disadvantages compared to each other. Creating the logical image is done at the file system level. Analysis can be made on this logical image. Both logical image acquisition and analysis of the image can be done by software tools. In this study, the differences between logical image and physical image acquisition in Android smartphones, their advantages and disadvantages compared to each other, the difficulties that may be encountered in obtaining physical images, which type of image contributes to obtaining more useful and effective data, which one should be preferred for different conditions, and the benefits of having root authority are discussed. The practice of getting the logical image of the Android smartphones and making an analysis on the image is also included. Although root privileges are not required for logical image acquisition, it has been observed that very limited data will be obtained with the logical image created without root privileges. Nevertheless, logical image acquisition has advantages too against physical image acquisition.
基金the RoboCar Project for Internationalization of RTI Projects within the Frame of the Austrian Research Promotion Agency(No.861000)。
文摘The vehicles and pedestrians ranging is one of the basic functions of advanced driving assistance system.However,most of the ranging systems can only work on workstations with high computing power.To solve this problem,a lightweight algorithm is proposed to be packaged into Android application package,and be installed in Android smartphones for vehicles and pedestrians ranging.The proposed ranging system is based on the images obtained by smartphone’s monocular camera.To achieve real-time ranging,an 8-bit integer(int8)quantization algorithm is proposed to accelerate the inference of convolutional neural networks.To increase the detection precision,a zoom-in algorithm is further proposed to detect small targets in the distance.After having detected the 2D bounding boxes of vehicles and pedestrians,a pinhole ranging method is applied to estimate the distance.In order to verify the proposed algorithm,the mean average precision(mAP)and the frame per second(FPS)are first tested by using COCO dataset on Huawei P40Pro,then,the ranging precision on the real road.The experimental results show that this algorithm can successfully perform real-time ranging(15 FPS)with high precision(34.8 mAP)onto the tested smartphones.Finally,a possible mobile application based on the ranging algorithm,i.e.,distance keeping warning,is also provided.
文摘The current limitation in maintenance budget and resources necessitates developing new cost-effective techniques for gravel roads management systems (GRMS). Thus, the Wyoming Technology Transfer Center (WYT2) has started developing a holistic automated GRMS. Utilizing smartphones in gravel roads data collection is one of the main features in the proposed system. In this study, smartphones were used to collect gravel roads condition data in terms of International Roughness Index (IRI) and corrugation to develop an objective computational method to estimate the riding quality on gravel roads. The developed method will help local agencies to reduce subjectivity in their data collection process and support them with a solid computational justification for their evaluation data and decisions. Two analyses have been carried out to achieve the purpose of this study. Artificial Neural Network ANN method and linear regression were used to develop the riding quality model. The linear regression resulted in a model that has a 0.8242 coefficient of determination (R2) value which means that the developed riding quality model can represent 82.42% of the collected data. The achieved R2 value is considered sufficient for GRMS purposes. In addition, the developed ANN model has a prediction accuracy of 92.5%. The achieved prediction accuracy shows that the ANN model can predict the riding quality significantly better than the linear regression, with 12.5% higher accuracy. Furthermore, thresholds for the gravel roads IRI were suggested and introduced in this study to be the first IRI thresholds for gravel roads in the literature. Based on the suggested threshold, the gravel roads IRI has three classes: smooth, acceptable and rough. The gravel road segment can be classified in terms of IRI to be smooth, acceptable, or rough if its IRI value is less than 284, between 284 and 496, or more than 496 inch/mile, respectively.
