Voice-user interface (VUI) has become an integral component in modern personal devices (\textite.g., smartphones, voice assistant) by fundamentally evolving the information sharing between user and device. Acoustic sensing for VUI is designed to sense all acoustic objects; however, existing mechanism can only offer low-quality speech sensing. This due audible inaudible interference from complex ambient noise that limits performance of causing denial-of-service (DoS) requests. Therefore, it...

Brain health attracts more recent attention as the population ages. Smartphone-based gait sensing and analysis can help identify risks of brain diseases in daily life for prevention. Existing approaches mainly hand-craft temporal features or developing CNN-based feature extractors, but they are either prone to lose some inconspicuous pathological information only dedicated a single disease screening. We discover that relationship between segments be used principle generic indicator quantify...

With the continuing growth of voice-controlled devices, voice metrics have been widely used for user identification. However, biometrics is vulnerable to replay attacks and ambient noise. We identify that fundamental vulnerability in rooted its indirect sensing modality (e.g., microphone). In this paper, we present VocalPrint, a resilient mmWave interrogation system which directly captures analyzes vocal vibrations authentication. Specifically, VocalPrint exploits unique disturbance...

Studies have demonstrated the potent effects of polyphenols on cutaneous wound healing. However, molecular mechanisms underlying polyphenol activity are incompletely understood. Herein, mice were experimentally wounded, intragastrically treated with four polyphenols, resveratrol, tea genistein, and quercetin; monitored for 14 days. Resveratrol was most effective compound, promoting healing starting at day 7 after wounding, by enhancing cell proliferation reducing apoptosis subsequently...

Abstract In July 2023, Beijing and southern Hebei experienced exceptionally heavy rainfall due to the remnants of Typhoon 'Dussuri'. This study aims investigate factors influencing forecast performance numerical models for this event sources uncertainty. Initially, operational convection-allowing ensemble system (CAEFS) North China was evaluated its accuracy. Based on results, sensitivity analysis group difference were conducted understand variability among members. The findings highlight...

Parkinson's disease (PD) is a chronic neurodegenerative disorder resulting from the progressive loss of dopaminergic nerve cells. People with PD usually demonstrate deficits in performing basic daily activities, and relevant annual social cost can reach about $25 billion United States. Early detection plays an important role symptom relief improvement performance activities life (ADL), which eventually reduces societal economic burden. However, conventional methods are inconvenient (e.g.,...

Parkinsons disease (PD) identification has attracted a lot of attention in recent years. However, there is still no standardized and convenient way to identify PD, because most researchers are only focusing on promoting accuracy. With the development mobile health, feasible application achieve PD highly demanded with small amount information but can provide reliable results. To this end, we propose DeepVoice, voiceprint-based simultaneously integrating deep learning health. DeepVoice works...

Using wireless signals to monitor human vital signs, especially heartbeat information, has been intensively studied in the past decade. This non-contact sensing modality can drive various applications from cardiac health, sleep, and emotion management. Under circumstance of COVID-19 pandemic, heart monitoring receives increasingly market demands. However, existing schemes only detect limited activities, such as rate, fiducial points, Seismocardiography (SCG)-like information. In this paper,...

The medicine adherence in Parkinson's disease (PD) treatment has attracted tremendous attention due to the critical consequences it can lead otherwise. As a result, clinics need ensure that intake is performed on time. Existing approaches, such as self-report, family reminder, and pill counts, heavily rely patients themselves log (hereafter, patient involvement). Unfortunately, PD usually suffer from impaired cognition or memory loss, which leads so-called medication non-adherence, including...

Abstract The impact of urbanization on precipitation was investigated using a regional model with different artificial scenarios, which included unavoidable errors resulting from uncertainties related to the initial value and boundary conditions. We studied typical summer rainfall event that occurred in Beijing 7 August 2015 determine whether uncertainty parameterization schemes field affected urban rainfall. also quantitatively analyzed land use heavy caused by schemes. results showed...

With the rapid development of information technology, data-driven fault diagnosis has gained more and attention because it provides a new way for enterprises to save costs. Considering that there are few abnormalities in equipment operation actual industrial applications, is still challenge implement requires large amount data. To tackle challenge, this paper proposes model-independent data augmentation method, which weighted combination two time series methods, i.e. Gaussian noise signal...

With the continuing growth of voice-controlled devices, voice metrics have been widely used for user identification. However, biometrics is vulnerable to replay attacks and ambient noise. We identify that fundamental vulnerability in rooted its indirect sensing modality (e.g., microphone). In this paper, we present <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VocalPrint</i> , a resilient mmWave interrogation system which directly captures...

Drug effectiveness management is a complicated and challenging task in chronic diseases, like Parkinson's Disease (PD). control not only linked to personal out-of-pocket cost but also affecting the quality of life among patients with symptoms. In current practice, although that health medical professionals still play key role personalized treatment plan, critical decision on drug selection falls upon individual report when call or visit clinics. Unfortunately, most diseases either fail their...

Treatment for multiple sclerosis (MS) focuses on managing its symptoms (e.g., depression, fatigue, poor sleep quality), varying with specific experienced. Thus, optimal treatment, there arises the need to track these symptoms. Towards this goal, is great interest in finding their relevant phenotypes. Prior research suggests links between activities of daily living (ADLs) and MS symptoms; therefore, we hypothesize that behavioral phenotype (revealed through ADLs) closely related Traditional...

Based on the operational regional ensemble prediction system (REPS) in China Meteorological Administration (CMA), this paper carried out comparison of two initial condition perturbation methods: an transform Kalman filter (ETKF) and a dynamical downscaling global perturbations. One month consecutive tests are implemented to evaluate performance both methods REPS environment. The characteristics analyzed forecast verifications conducted; furthermore, TC case is investigated. main conclusions...

Approximately 7 million survivors of stroke reside in the United States. Over half these individuals will have residual deficits, making one leading causes disability. Long-term rehabilitation opportunities are critical for millions with chronic upper limb motor deicits due to stroke. Traditional in-home is reported be dull, boring, and un-engaging. Moreover, existing technologies not user-friendly cannot adaptable different ever-changing demands from individual survivors. In this work, we...

Abstract Ensemble forecasting is a method to faithfully describe initial and model uncertainties in weather system. Initial are much more important than the short-range numerical prediction. Currently, described by ensemble transform Kalman filter (ETKF) perturbation Global Regional Assimilation Prediction Enhanced System–Regional System (GRAPES-REPS). However, an distribution similar analysis error cannot be yielded ETKF of GRAPES-REPS. To improve method, we introduce regional rescaling...

The millimeter-wave (mm-Wave) or 60 GHz technology emerges as an attractive candidate for indoor wireless access in the 5G architecture. Different from 2.4/5 GHz, high signal attenuation requires mm-Wave antenna utilizing directional transmission to enhance beamforming gain. Consequently, time-consuming training process between nodes significantly increases communication overhead, especially when environment is crowded since perform a contention and backoff manner. In this paper, we propose...

Abstract The effects of small‐scale topographic perturbations on precipitation forecasts are investigated using the China Meteorological Administration's Convection‐Permitting Ensemble Prediction System. Southern is chosen as study domain because complex terrain located there and heavy rainfall frequently occurs. investigation comprises seven cases including strong weak forcings synoptic scale in terms convective adjustment time‐scale conditions. To construct perturbation scheme, standard...

The regional ensemble prediction system (REPS) of North China is currently under development at the Institute Urban Meteorology, Meteorological Administration, with initial condition perturbations provided by global dynamical downscaling. To improve performance REPS, a comparison two perturbation methods conducted in this paper: (i) Breeding, which was specifically designed for and (ii) Dynamical Consecutive tests were implemented to evaluate performances both operational REPS environment....

In this study, three model perturbation schemes, the stochastically perturbed parameter scheme (SPP), physics tendency (SPPT), and multi-physics process parameterization (MP), were used to represent errors in regional ensemble prediction systems (REPS). To study effects of different schemes on heavy rainfall forecasting, sensitive experiments using combinations (EXP1: MP, EXP2: SPPT + SPP, EXP3: MP SPP) set up based Weather Research Forecasting (WRF)-V4.2 for a case that occurred Henan,...

Mechanistic target of rapamycin complex 1 (mTORC1) signaling is active in inflammation, but its involvement septic acute kidney injury (AKI) has not been shown. mTORC1 activation (p-S6) renal fibroblasts was increased a mouse AKI model induced by 1.5 mg/kg lipopolysaccharide (LPS). Deletion tuberous sclerosis (TSC1), an negative regulator, (Fibro-TSC1−/−) inhibited the elevation serum creatinine and blood urea nitrogen compared with that TSC1fl/fl control mice. Endothelin-1 (EDN1)...

The energy internet at the park level is one of most suitable locations for carrying out integrated service background low carbon economy, which can significantly improve structure China. In this paper, concept Park Energy Internet (PEI)was introduced. main characteristics and functions PEI was analyzed in detail. developments around world such as construction objective application results, were After analysis, insufficient traditional planning, key technical issue planning explored paper....