Smartphone

摘要： Background The combination of an augmented reality(AR)headset and a smartphone can simultaneously provide a wider display and a precise touch input;it can redefine the way we use applications today.However,users are deprived of such benefits owing to the independence of the two devices.There is a lack of intuitive and direct interactions between them.Methods In this study,we conduct a formative investigation to understand the window management requirements and interaction preferences of using an AR headset and a smartphone simultaneously and report the insights we gained.In addition,we introduce an example vocabulary of window management operations in the AR headset and smartphone interface.Results This allows users to manipulate windows in a virtual space and shift windows between devices efficiently and seamlessly.

摘要： Bunchosia glanduliera stands out because of the high content of flavonoid compounds in the pulp, contributing to the antioxidant potential of fruit extracts. Another plant species rich in flavonoid compounds is Markhamia tomentosa. However, to perform such an assay, a high-cost instrument is needed. To develop a simple and low-cost method for the determination of flavonoid compounds in M. tomentosa and B. glandulifera with PhotoMetrix? program application use pixels of digital imaging as an alternative method and linear correlation techniques for univariate analysis implementing systems of RGB colors (red, green, and blue). To determine the total flavonoids, the reaction with ferric chloride and quercetin was used as a control. For the acquisition of data or smartphones, low-cost materials were used, demonstrating the applicability of this analytical tool while comparing its cost to other analytical instrumentation. The total flavonoid content was also determined using a spectrophotometry technique in the visible ultraviolet spectrum (UV-Vis). The pulp of B. glandulifera showed the highest content of flavonoid compounds. The content of flavonoid compounds found in the fruit of B. glandulifera was 259.54 mg 100 g-1. In relation to the results found in the analysis of total flavonoids of M. tomentosa can be observed in the flower in natura has a higher content of these compounds. The use of PhotoMetrix? for the determination of flavonoid compounds in M. tomentosa and B. glandulifera reduced expense and analysis time. The method is reproducible and efficient. The proposed method can be adopted in different species.

摘要： Depression is a serious medical condition and is a leading cause of disability worldwide.Current depression diagnostics and assessment has significant limitations due to heterogeneity of clinical presentations,lack of objective assessments,and assessments that rely on patients'perceptions,memory,and recall.Digital phenotyping(DP),especially assessments conducted using mobile health technologies,has the potential to greatly improve accuracy of depression diagnostics by generating objectively measurable endophenotypes.DP includes two primary sources of digital data generated using ecological momentary assessments(EMA),assessments conducted in real-time,in subjects'natural environment.This includes active EMA,data that require active input by the subject,and passive EMA or passive sensing,data passively and automatically collected from subjects'personal digital devices.The raw data is then analyzed using machine learning algorithms to identify behavioral patterns that correlate with patients'clinical status.Preliminary investigations have also shown that linguistic and behavioral clues from social media data and data extracted from the electronic medical records can be used to predict depression status.These other sources of data and recent advances in telepsychiatry can further enhance DP of the depressed patients.Success of DP endeavors depends on critical contributions from both psychiatric and engineering disciplines.The current review integrates important perspectives from both disciplines and discusses parameters for successful interdisciplinary collaborations.A clinically-relevant model for incorporating DP in clinical setting is presented.This model,based on investigations conducted by our group,delineates development of a depression prediction system and its integration in clinical setting to enhance depression diagnostics and inform the clinical decision making process.Benefits,challenges,and opportunities pertaining to clinical integration of DP of depression diagnostics are discussed from interdisciplinary perspectives.

摘要： Objective:This study aimed to assess smartphone dependency and its impact on academics among medical and nursing students.Materials and Methods:A cross-sectional study was carried out on Bachelor of Medicine and Bachelor of Surgery(MBBS)and Bachelor of Science in Nursing(BScN)students in a medical teaching institute.The Smartphone Dependency Scale and self-structured questionnaire on impact of smartphone on academics were used to assess smartphone dependency and its impact on academics.A total of 436 students were selected using the total enumerative sampling technique.Data were analyzed using the descriptive(frequency,percentage,mean,and standard deviation)and inferential(t-test,Chi-square test)statistics.Results:The mean age of students was 20.6±1.29 years,81%were females,and the mean body mass index score was 21.59±3.41 kg/m2.The mean impact on academics and smartphone dependency scores was 19.92±7.01 and 48.58±11.46,respectively.The impact on academics had a significant association with student category(P<0.001)and gender(P<0.001).A significant association was found between the impact on academics(P=0.003)and smartphone dependency(P=0.05)with studying class.Conclusion:The use of smartphones is more among medical students.Students studying in the first and second years are found to be more dependent on smartphone,which caused a serious impact on their academics.Smart appliances have become mandatory in this era of technology,and it is not possible to stop its usage but negative impact of smartphones on students’academic performance needs to be addressed.Therefore,it is mandatory to organize educational seminars and workshops to promote the appropriate use of smartphones.

摘要： Regulating the catalytic activity of nanozymes is significant for their applications in various fields.Here,we demonstrate a new strategy to achieve reversible regulation of the nanozyme’s activity for sensing purpose.This strategy involves the use of zero-dimensional MoS;quantum dots(MQDs)as the building blocks of nanozymes which display very weak peroxidase(POD)-like activity.Interestingly,such POD-like activity of the MQDs largely enhances in the presence of Fe;while diminishes with the addition of captopril thereafter.Further investigations identify the mechanism of Fe;-mediated aggregation-induced enhancement of the POD-like activity and the inhibitory effect of captopril on the enhancement,which is highly dependent on their concentrations.Based on this finding,a colorimetric method for the detection of captopril is developed.This sensing approach exhibits the merits of simplicity,rapidness,reliability,and low cost,which has been successfully applied in quality control of captopril in pharmaceutical products.Moreover,the present sensing platform allows smartphone read-out,which has promising applications in point-of-care testing devices for clinical diagnosis and drug analysis.

摘要： User response or reaction to navigation applications is influenced by relevance in geographic information, in terms of cartographic context and content delivered within a definite time, providing a direct impact to outcome or consequence based on decision making and hence user reaction. Location Based Navigation Services (LBNS) have continuously advanced in cartographic visualization, making maps interpretation easy and ubiquitous to any user, as compared to pre-historic times when maps were a preserve of a few. Despite rapid growth in LBNS, there exist challenges that may be characterized as technical and non-technical challenges, among them being process of conveying geospatial information to user. LBNS system deliver appropriate information to a user through smartphone (mobile device) for effective decision making and response within a given time span. This research focuses on optimization of cartographic content for contextual information in LBNS to users, based on prevailing circumstances of various components that constitute it. The research looks into Geographic Information Retrieval (GIR), as a technical challenge centered on a non-technical issue of social being of user satisfaction, leading to decision making in LBNS, hence response and outcome. Though advanced technologically, current LBNS on information sourcing depends on user manual web pages navigation and maneuver, this can be painstaking and time consuming that it may cause unnecessary delay in information delivery, resulting to delayed information response time (DIRT). This in turn may lead to unappropriate decision making with erroneous reaction or response being taken, resulting in loss of opportunity, resources, time and even life. Optimization in LBNS is achieved by a mathematical relationship developed between user status, mobile device variables against cartographic content. The relationship is in turn applied in LBNS android application to fulfill optimization solution for user consumption.

摘要： To improve the performance of real-time recombinase polymerase amplification(RPA),a microfluidic system with active mixing is developed to optimize the reaction dynamics.Instead of adopting a single typical reaction chamber,a specific reactor including a relatively large chamber in center with two adjacent zig-zag channels at two sides is integrated into the microfluidic chip.Active mixing is achieved by driving the viscous reagent between the chamber and the channel back and forth periodically with an outside compact peristaltic pump.To avoid reagent evapora-tion,one end of the reactor is sealed with paraffin oil.A hand-held companion device is developed to facilitate real-time RPA amplification within 20 min.The whole area of the reactor is heated with a resistance heater to provide uniform reaction temperature.To achieve real-time monitoring,a compact fluorescence detection module is integrated into the hand-held device.A smartphone with custom application software is adopted to control the hand-held device and display the real-time fluorescence curves.The performances of two cases with and without active on-chip mixing are compared between each other by detecting African swine fever viruses.It has been demonstrated that,with active on-chip mixing,the amplification efficiency and detection sensitivity can be signifi-cantly improved.

摘要： The smartphone has become an indispensable electric device for most people since it can assist us in finishing many tasks such as paying and reading. Therefore, the security of smartphones is the most crucial issue to illegal users who cannot access legal users’ privacy information. This paper studies identity authentication using user action. This scheme does not rely on the password or biometric identification. It checks user identity just by user action features. We utilize sensors installed in smartphones and collect their data when the user waves the phone. We collect these data, process them and feed them into neural networks to realize identity recognition. We invited 13 participants and collected about 350 samples for each person. The sampling frequency is set at 200 Hz, and DenseNet is chosen as the neural network to validate system performance. The result shows that the neural network can effectively recognize user identity and achieve an authentication accuracy of 96.69 percent.

摘要： Sensors based Human Activity Recognition(HAR)have numerous applications in eHeath,sports,fitness assessments,ambient assisted living(AAL),human-computer interaction and many more.The human physical activity can be monitored by using wearable sensors or external devices.The usage of external devices has disadvantages in terms of cost,hardware installation,storage,computational time and lighting conditions dependencies.Therefore,most of the researchers used smart devices like smart phones,smart bands and watches which contain various sensors like accelerometer,gyroscope,GPS etc.,and adequate processing capabilities.For the task of recognition,human activities can be broadly categorized as basic and complex human activities.Recognition of complex activities have received very less attention of researchers due to difficulty of problem by using either smart phones or smart watches.Other reasons include lack of sensor-based labeled dataset having several complex human daily life activities.Some of the researchers have worked on the smart phone’s inertial sensors to perform human activity recognition,whereas a few of them used both pocket and wrist positions.In this research,we have proposed a novel framework which is capable to recognize both basic and complex human activities using builtin-sensors of smart phone and smart watch.We have considered 25 physical activities,including 20 complex ones,using smart device’s built-in sensors.To the best of our knowledge,the existing literature consider only up to 15 activities of daily life.

摘要： The field of gastroenterology has recently seen a surge in wearable technology to monitor physical activity,sleep quality,pain,and even gut activity.The past decade has seen the emergence of wearable devices including Fitbit,Apple Watch,AbStats,and ingestible sensors.In this review,we discuss current and future devices designed to measure sweat biomarkers,steps taken,sleep efficiency,gastric electrical activity,stomach pH,and intestinal contents.We also summarize several clinical studies to better understand wearable devices so that we may assess their potential benefit in improving healthcare while also weighing the challenges that must be addressed.

摘要： 本发明涉及一种面向Smartphone的交通信息查询与点播的系统及方法，系统包括后台交通信息网格，Smartphone客户终端，无线通信网络。该系统提供了本地服务：在Smartphone终端对矢量地图数据的组织、请求、传输、存储，以实现本地服务请求；后台服务：Smartphone终端通过无线通信网络与后台服务器端实现实时通信，请求动态交通信息；后台交通信息网格服务器响应该请求，处理并发送数据；Smartphone终端接收动态路况数据，并根据路况数据绘制反映动态路况的变化地图，完成动态(静态)最短路径、动态路况展示、停车场查询等后台服务点播。本发明的有益效果为：在Smartphone上为用户提供了丰富的实时、动态交通信息查询与点播服务。实现一个良好的人—机交互界面，且操作简单方便。