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INTRODUCTION: Finding low‐cost methods to detect early‐stage Alzheimer's disease (AD) is a research priority for neuroprotective drug development. Presymptomatic Alzheimer's is associated with gait impairment but hand motor tests, which are more accessible, have hardly been investigated. This study evaluated how home‐based Tasmanian (TAS) Test keyboard tapping tests predict episodic memory performance. METHODS: 1169 community participants (65.8 ± 7.4 years old; 73% female) without cognitive symptoms completed online single‐key and alternate‐key tapping tests and episodic memory, working memory, and executive function cognitive tests. RESULTS: All single‐key (R2adj = 8.8%, ΔAIC = 5.2) and alternate‐key (R2adj = 9.1%, ΔAIC = 8.8) motor features predicted episodic memory performance relative to demographic and mood confounders only (R2adj = 8.1%). No tapping features improved estimation of working memory. DISCUSSION: Brief self‐administered online hand movement tests predict asymptomatic episodic memory impairment. This provides a potential low‐cost home‐based method for stratification of enriched cohorts. Highlights: We devised two brief online keyboard tapping tests to assess hand motor function.1169 cognitively asymptomatic adults completed motor‐ and cognitive tests online.Impaired hand motor function predicted reduced episodic memory performance.This brief self‐administered test may aid stratification of community cohorts. [ABSTRACT FROM AUTHOR]

Background: Gait analysis studies have shown that motor function declines across the Alzheimer's disease (AD) continuum and may aid early detection of dementia risk. Hand movement analysis has been poorly investigated in comparison to gait but may be easier to assess using computer keyboards. TAS Test is a new automated online test of hand movements. The aim of this study was to evaluate TAS Test keyboard tapping tests compared to gold standard consensus diagnosis in a multidisciplinary team (MDT) cognitive clinic. Method: Participants attending the ISLAND Cognitive Clinic in Tasmania, Australia underwent extensive neuropsychological, medical and MRI assessments before an MDT consensus diagnosis was formulated. They also completed 5 minutes of TAS Test keyboard tapping tests including single‐, alternate‐ and 3 step‐ key tapping tests. Motor features of frequency, rhythm, accuracy, and dwell time were extracted. Healthy controls (HC) with normal cognition also completed TAS Test. Accuracy to discriminate diagnostic groups using TAS Test motor features, adjusted for age, in ridge regression models was assessed using area under ROC curves (AUC) and compared to a null model which comprised only confounding variables. Result: 205 participants were recruited (mean [SD] age 69.0 [8.9] years): 91 from the Cognitive Clinic with Subjective Cognitive Decline (SCD, N = 16), Mild Cognitive Impairment (MCI, N = 40) or Dementia (N = 35) and 114 HCs. TAS Test discriminated better than null models with the following AUCs [95% CI]: SCD from HC: 0.82 [0.73‐0.91], MCI from HC: 0.78 [0.69‐0.86], Dementia from HC: 0.91 [0.86‐0.97], MCI from SCD: 0.7 [0.63‐ 0.92], Dementia from MCI: 0.82 [0.82‐0.97], all p <0.01. Hand tests were characterized by progressively slower, less rhythmic movements, with more pauses and less accuracy across the dementia continuum. Dominant hand features were more discriminatory than non‐dominant hand features. Conclusion: A simple brief battery of keyboard tapping tests via the TAS Test website aids stratification of diagnostic groups. This novel hand motor approach is more accessible than gait analysis and opens new opportunities for objective motor measure in clinical and research applications. Longitudinal research is underway to assess if TAS Test can aid prediction of cognitive decline in cognitively healthy controls. [ABSTRACT FROM AUTHOR]

Background: Dementia prevention and drug development is hindered by the lack of low‐cost population‐level tests to help identify preclinical Alzheimer's disease (AD) in the community. Recent evidence suggests that precise analysis of hand movements may detect motor changes indicative of preclinical AD. The objective was to evaluate how TAS Test, a new online automated hand movement test, predicts preclinical AD biomarkers (plasma ptau181 and subtle episodic memory decline) in a cognitively asymptomatic cohort of older adults. Method: Participants completed TAS Test online at home using their own computer without researcher assistance: a series of 10‐30 second index finger‐key and index finger‐thumb tapping tests recorded with a keyboard and/or webcam. Movement features including frequency, rhythm, pauses and accuracy were extracted. Participants also completed online tests of episodic memory, CANTAB Paired Associate Learning (CANTAB). A subset provided blood samples for ptau181 analysis. Accuracy of linear regression models comprising hand motor features to predict PAL scores and ptau181 levels, adjusted for confounding, was compared to null models (with only confounders: age, gender, education level, anxiety and depression) using R2adj and AIC. ΔAIC > 2 denotes statistical difference. Result: 1,228 adults (mean (SD) age, 65.8 (7.4) years; 73.0% female) completed TAS Test and CANTAB; 459 underwent ptau181 analysis. All keyboard tests improved prediction of asymptomatic episodic memory decline; the 3 step‐ (ΔAIC = 11.2; R2adj = 8.1%) and alternate‐ key (ΔAIC = 3.3; R2adj = 7.5%) tests ranked highest and were the only keyboard tests to improve prediction of ptau181 (3 step ΔAIC = 7.0; R2adj = 17.8%; alternate key ΔAIC = 3.4; R2adj = 17.4%). All finger‐thumb motor measures improved predictions of CANTAB scores and ptau181 levels; the highest performing tests were dominant hand tapping (CANTAB ΔAIC = 2.9; R2adj = 8.2%; ptau181 ΔAIC = 2.4; R2adj = 12.9%) and both hands dual‐task tapping (CANTAB ΔAIC = 3.0; R2adj = 6.8%; ptau181 ΔAIC = 8.7; R2adj = 11.9%). Conclusion: TAS Test provides an accessible brief home‐based test for identifying preclinical AD risk. This novel approach holds potential as a pre‐screening/enrichment tool for identifying at risk cohorts for further investigation. [ABSTRACT FROM AUTHOR]

Background: Dementia prevention and drug development is hindered by the lack of low‐cost population‐level tests to help identify preclinical Alzheimer's disease (AD) in the community. Recent evidence suggests that precise analysis of hand movements may detect motor changes indicative of preclinical AD. The objective was to evaluate how TAS Test, a new online automated hand movement test, predicts preclinical AD biomarkers (plasma ptau181 and subtle episodic memory decline) in a cognitively asymptomatic cohort of older adults. Method: Participants completed TAS Test online at home using their own computer without researcher assistance: a series of 10‐30 second index finger‐key and index finger‐thumb tapping tests recorded with a keyboard and/or webcam. Movement features including frequency, rhythm, pauses and accuracy were extracted. Participants also completed online tests of episodic memory, CANTAB Paired Associate Learning (CANTAB). A subset provided blood samples for ptau181 analysis. Accuracy of linear regression models comprising hand motor features to predict PAL scores and ptau181 levels, adjusted for confounding, was compared to null models (with only confounders: age, gender, education level, anxiety and depression) using R2adj and AIC. ΔAIC > 2 denotes statistical difference. Result: 1,228 adults (mean (SD) age, 65.8 (7.4) years; 73.0% female) completed TAS Test and CANTAB; 459 underwent ptau181 analysis. All keyboard tests improved prediction of asymptomatic episodic memory decline; the 3 step‐ (ΔAIC = 11.2; R2adj = 8.1%) and alternate‐ key (ΔAIC = 3.3; R2adj = 7.5%) tests ranked highest and were the only keyboard tests to improve prediction of ptau181 (3 step ΔAIC = 7.0; R2adj = 17.8%; alternate key ΔAIC = 3.4; R2adj = 17.4%). All finger‐thumb motor measures improved predictions of CANTAB scores and ptau181 levels; the highest performing tests were dominant hand tapping (CANTAB ΔAIC = 2.9; R2adj = 8.2%; ptau181 ΔAIC = 2.4; R2adj = 12.9%) and both hands dual‐task tapping (CANTAB ΔAIC = 3.0; R2adj = 6.8%; ptau181 ΔAIC = 8.7; R2adj = 11.9%). Conclusion: TAS Test provides an accessible brief home‐based test for identifying preclinical AD risk. This novel approach holds potential as a pre‐screening/enrichment tool for identifying at risk cohorts for further investigation. [ABSTRACT FROM AUTHOR]

Background: Gait analysis studies have shown that motor function declines across the Alzheimer's disease (AD) continuum and may aid early detection of dementia risk. Hand movement analysis has been poorly investigated in comparison to gait but may be easier to assess using computer keyboards. TAS Test is a new automated online test of hand movements. The aim of this study was to evaluate TAS Test keyboard tapping tests compared to gold standard consensus diagnosis in a multidisciplinary team (MDT) cognitive clinic. Method: Participants attending the ISLAND Cognitive Clinic in Tasmania, Australia underwent extensive neuropsychological, medical and MRI assessments before an MDT consensus diagnosis was formulated. They also completed 5 minutes of TAS Test keyboard tapping tests including single‐, alternate‐ and 3 step‐ key tapping tests. Motor features of frequency, rhythm, accuracy, and dwell time were extracted. Healthy controls (HC) with normal cognition also completed TAS Test. Accuracy to discriminate diagnostic groups using TAS Test motor features, adjusted for age, in ridge regression models was assessed using area under ROC curves (AUC) and compared to a null model which comprised only confounding variables. Result: 205 participants were recruited (mean [SD] age 69.0 [8.9] years): 91 from the Cognitive Clinic with Subjective Cognitive Decline (SCD, N = 16), Mild Cognitive Impairment (MCI, N = 40) or Dementia (N = 35) and 114 HCs. TAS Test discriminated better than null models with the following AUCs [95% CI]: SCD from HC: 0.82 [0.73‐0.91], MCI from HC: 0.78 [0.69‐0.86], Dementia from HC: 0.91 [0.86‐0.97], MCI from SCD: 0.7 [0.63‐ 0.92], Dementia from MCI: 0.82 [0.82‐0.97], all p <0.01. Hand tests were characterized by progressively slower, less rhythmic movements, with more pauses and less accuracy across the dementia continuum. Dominant hand features were more discriminatory than non‐dominant hand features. Conclusion: A simple brief battery of keyboard tapping tests via the TAS Test website aids stratification of diagnostic groups. This novel hand motor approach is more accessible than gait analysis and opens new opportunities for objective motor measure in clinical and research applications. Longitudinal research is underway to assess if TAS Test can aid prediction of cognitive decline in cognitively healthy controls. [ABSTRACT FROM AUTHOR]

There is an increasing demand for minimally invasive aortic valve replacement. This study aimed to investigate the safety and feasibility of minimally invasive aortic valve replacement through a right parasternal second intercostal transverse incision. This was a retrospective study, and we collected information from 111 patients who underwent isolated aortic valve replacement surgery performed by the same surgeon from January 2018 to December 2019. According to the operative approach, the patients were divided into a sternotomy aortic valve replacement (SAVR) group (n = 62) and a minimally invasive aortic valve replacement (Mini-AVR) group (n = 49). We compared the intraoperative and postoperative data between the two groups. There was no difference in preoperative data between the Mini-AVR and SAVR. The postoperative ventilator-assisted time, CSICU time and postoperative hospital stay of the Mini-AVR were shorter than those of the SAVR [(15.45 ± 5.75) VS (18.51 ± 6.71) h; (1.77 ± 0.31) VS (2.04 ± 0.63) d; (8.69 ± 2.75) VS (10.77 ± 2.94) d], and the difference was statistically significant (P < 0.05). Mini-AVR had lower postoperative drainage and blood transfusion rates in the first 24 h than SAVR [(109.86 ± 125.98) VS (508.84 ± 311.70) ml; 22.4% VS 46.8%], and the differences were statistically significant (P < 0.05). The incidence of postoperative AF in the Mini-AVR group was also lower than that in the SAVR group (10.2% VS 30.6%), and the differences were statistically significant (P < 0.05). Mini-AVR has the advantages of less ventilator time, a reduced need for blood transfusion, less AF and a faster recovery. Mini-AVR is a safe and feasible surgical technique that is worthy of clinical application. [ABSTRACT FROM AUTHOR]

Influence maximization is recognized as a crucial optimization problem, which aims to identify a limited set of influencers to maximize the coverage of influence dissemination in social networks. However, real-world social networks are usually dynamic and large-scale, which leads to difficulty in capturing real-time user and diffusion features to effectively and accurately select the key influencers. In this paper, we propose an adaptive agent-based evolutionary approach to address this challenging issue with agent-based modeling and genetic algorithm. This novel approach identifies the users' influence capability in a distributed manner and optimizes the influencer set selection in a dynamic environment. An adaptive solution optimizer is proposed as one of the key components, driving the evolutionary process and adapting the candidate solutions dynamically. The proposed approach is also applicable to large-scale networks due to its distributed framework. Evaluation of our approach is performed by using both synthetic networks and real-world datasets. Experimental results demonstrate that the proposed approach outperforms state-of-the-art seeding algorithms in terms of maximizing influence. • Distributed approach combines genetic algorithm and agent-based modelling for influence maximization. • Genetic algorithm improved with solution adaptive optimizer to capture dynamic influencer candidates. • Proposed approach handles large scale and dynamics in real social networks simultaneously. [ABSTRACT FROM AUTHOR]

We propose a snap-through triboelectric nanogenerator with magnetic coupling and buckled bistable mechanism to harvest rotational energy (ST-RTENG). The buckled bistable beam generates convex and concave snap-through under magnetic excitation, which can significantly increase the contact force of the functional materials of triboelectric nanogenerator (TENG), thereby significantly improving the electrical output. By adopting a magnetic coupling non-contact energy transfer mechanism, the drive part and the electromechanical conversion part are easily physically separated, which improves the robustness of the system in the harsh environment. The electromechanical coupling dynamic model of the system is established and verified by experiments. The different modes and key parameters of the magnet arrangement are investigated. The ST-RTENG with two pairs of magnets with staggered poles has a maximum voltage of 1235 V at a rotating speed of 150 r/min and a maximum average power of 778 μW at a rotating speed of 800 r/min. The prototype can light up more than 1000 LEDs under low speed excitation, and realize self-powered temperature monitoring and wireless transmission. The rotational energy harvester with magnetic coupling buckled bistable mechanism proposed in this paper can be used for wind energy harvesting in the field environment, self-powered state monitoring of the pressure pipelines, and other applications that require isolation of external excitation and electromechanical conversion components. [Display omitted] • A snap-through TENG with magnetic coupling buckled bistable mechanism is proposed. • The dynamic model of the system is established and verified experimentally. • The mode and key dimension parameters of the magnet arrangement are investigated. • The prototype can light up 1000 LEDs, and realize self-powered temperature monitoring. [ABSTRACT FROM AUTHOR]

The variation of methane adsorption property of coal after the treatment of hydraulic slotting and methane pre-drainage was investigated by testing the seven coal samples obtained from the coal seam #10 of Yangliu Mine. The methane isothermal adsorption experiments were conducted to measure the adsorption constants and the Mercury Injection Capillary Pressure (MICP) and Nitrogen Gas Adsorption (N2GA) were organically combined to depict the pore size distribution (PSD). It is revealed that non-significant variation occurs in the various indexes of proximate analysis. With the increase of borehole distance, adsorption constant a presents a tendency toward enlargement and adsorption constant b has an opposite variation tendency, which is consistent with the change tendency of the curvatures of the curves. Remarkable variation occurs in pore size distribution of coal samples and adsorption pore proportion decreases from 55.38% to 33.27% with the decrease in borehole distance. The curves of coal parameters (a, b, Xabs) present a characteristic of boundness and nonlinearity and the variation amplitude is "gentle-drastic-gentle", which obeys the Boltzmann equation. There exists a significant sectionalized feature after the treatment of hydraulic slotting and methane pre-drainage. That is, region of significant influencing, region of transition and region of non-significant influencing. The gas pressure decreases and the effective stress increases after the treatment, which controls the adsorption property of coal. Hydraulic slotting and methane pre-drainage are sequential processes and each is a dominate factor that changes the methane adsorption property in relevant process. The results can provide reliable theoretical support for the application of hydraulic slotting. Six coal samples at different distances from the slotted borehole are obtained. Investigation of pore size distribution via organic combination of MICP and N2GA. Adsorption pore volume proportion decreases with decrease in borehole distances. There exists a significant sectionalized feature around the slotted borehole. Effective stress increases after the treatment, controlling the adsorption property of coal. [ABSTRACT FROM AUTHOR]

Abstract: With the development of the Internet, search engine technology is becoming more and more popular. Web Crawlers have taken up a great deal of Internet bandwidth. The Internet is filled with “bogus” web crawlers besides Google, Baidu and some other famous search engines. Coded roughly, these crawlers hazard the Internet seriously. Correct analysis of the traffic characteristics of Google web crawler and shielding the “bogus” web crawlers can improve the performance of a site and enhance the quality of service of the network. In this paper, we measured massive of web crawler traffic in the real high speed network, compared the differences of statistical characteristics between Google web crawler and the “bogus” web crawlers. We proposed a model to detect real and “bogus” web crawlers, with accuracy rate of about 95%. [Copyright &y& Elsevier]

Background& Objective: With populations aging, the number of people with dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases are due to Alzheimer's disease (AD) pathology and there is a 10-20 year 'pre-clinical' period before significant cognitive decline occurs. We urgently need, cost effective, objective biomarkers to detect AD, and other dementias, at an early stage. Risk factor modification could prevent 40% of cases and drug trials would have greater chances of success if participants are recruited at an earlier stage. Currently, detection of dementia is largely by pen and paper cognitive tests but these are time consuming and insensitive to the pre-clinical phase. Specialist brain scans and body fluid biomarkers can detect the earliest stages of dementia but are too invasive or expensive for widespread use. With the advancement of technology, Artificial Intelligence (AI) shows promising results in assisting with detection of early-stage dementia. This scoping review aims to summarise the current capabilities of AI-aided digital biomarkers to aid in early detection of dementia, and also discusses potential future research directions.Methods& Materials: In this scoping review, we used PubMed and IEEE Xplore to identify relevant papers. The resulting records were further filtered to retrieve articles published within five years and written in English. Duplicates were removed, titles and abstracts were screened and full texts were reviewed.Results: After an initial yield of 1,463 records, 1,444 records were screened after removal of duplication. A further 771 records were excluded after screening titles and abstracts, and 496 were excluded after full text review. The final yield was 177 studies. Records were grouped into different artificial intelligence based tests: (a) computerized cognitive tests (b) movement tests (c) speech, conversion, and language tests and (d) computer-assisted interpretation of brain scans.Conclusions: In general, AI techniques enhance the performance of dementia screening tests because more features can be retrieved from a single test, there are less errors due to subjective judgements and AI shifts the automation of dementia screening to a higher level. Compared with traditional cognitive tests, AI-based computerized cognitive tests improve the discrimination sensitivity by around 4% and specificity by around 3%. In terms of speech, conversation and language tests, combining both acoustic features and linguistic features achieve the best result with accuracy around 94%. Deep learning techniques applied in brain scan analysis achieves around 92% accuracy. Movement tests and setting smart environments to capture daily life behaviours are two potential future directions that may help discriminate dementia from normal aging. AI-based smart environments and multi-modal tests are promising future directions to improve detection of dementia in the earliest stages. [ABSTRACT FROM AUTHOR]

Abstract: The stress relief mechanism and the limitation of a borehole drilling are pointed out by theoretical and numerical analysis. The stress is relieved around the borehole wall, and the gas can be drained out easily, but the periphery of the stress relief area generates annularity stress concentration to embay around the boreholes, and forms the “Bottle Neck Effect” (BNE) which restricts the gas drainage ability. Jetting high pressure water in the boreholes to form several slots can break the BNE, which makes the stress above and below the slots relieve sufficiently. The stress relief area is nearly 200 times larger than the stress concentration area under the same condition. The slots around a borehole improve the borehole’s stress relief ability, drain out more gas, and enlarge the drainage range, which can reduce the number of the boreholes to achieve the same aim. [Copyright &y& Elsevier]

Abstract: In order to investigate the gas diffusion process in the coal seam, this paper simplifies the complex course into the capillary model and gets the motion differential equation when the gas diffusion obeys Fick’s law. Meanwhile, with the knowledge of differential equation and mathematic-physical equation, with the help of MATLAB as well, this paper obtains the analytic answer of the speed and flow rate of gas diffusion for the first time, which can supply more accurate quantized parameters to solve the gas problem in coal mine. [Copyright &y& Elsevier]

Abstract: In order to explore the propagation law of gas explosion in bend laneways, the propagation laws of flame and shock wave in bend duct are theoretically and experimentally investigated. The results show that the stress of shock wave is complicated and the flame velocity changes complicatedly in the bend duct; besides, the propagation process of gas explosion in the bend duct is the mutual action of explosion wave, flame and complicated flow. The explosion wave overpressure and flame velocity increase sharply at bend, which destroyed the surface of bend location especially seriously. Therefore, in the mine exploitation and laneway design, the bend laneway should be avoided and the obstruction should be eliminated as possible. When the bend is unavoidable, the relevant preventive measures should be adopted to suppress the gas explosion propagation, depress the intensity and diminish the loss due to gas explosion. [Copyright &y& Elsevier]

Abstract: Based on the experiment, the important influence of the pipe with abnormal structure on gas explosion propagation characteristics is analyzed. The results show that gas explosion propagation at the turning point is a process of interaction of pressure wave, flame and complicated flow field. The overpressure of pressure wave and flame transmission velocity are rapidly accelerated and the pipe wall at the turning point is seriously destroyed. The angle of bend has a great influence on the gas explosion propagation characteristics, i.e. there is a different degree of change in both flame velocity and pressure wave overpressure value when gas explosion propagates through bend with different angles. The bend not only increases the turbulent flow of combustion area that accelerates the reaction and velocity, but also enlarges the resistance and heat transmission to the pipe wall. At the same time, the expansion wave at the turning point restrains the gas explosion propagation. The influence of bend on gas explosion propagation characteristics is determined by the combined impact of inhibitor factors and motivation factor. Experiment research and theory analysis indicate that gas explosion propagation characteristics in bend pipe are obviously different from that in straight pipe. So in the mine exploitation, the bend roadways should be decreased as few as possible, and preventive measures should be taken in order to diminish the loss caused by gas explosion. The research results will play an important role in the guidance of preventing gas explosion from occurring and alleviating the damage in coal mine. [Copyright &y& Elsevier]

Abstract: Aimed at the actuality of coal mine risk management, this paper discussed the primary factors which affected technical support system of coal mine risk management, and established a technical support system of coal mine risk management to recognize and analyze risks during the process of coal production by using the method of risk management and system engineering based on the current safety problems of Pingdingshan Colliery Group . Meanwhile, we also developed a technical support system software of coal mine risk management and applied it in the technical support system of coal mine risk management in related mines. This system was able to make every risk in control and achieved good results and safe production. [Copyright &y& Elsevier]

Abstract: Coal and gas outburst is one main disaster in coal mine production, so it is very significant to prevent the coal and gas outburst effectively. Based on the stress-relief zone theory, we establish the stability condition of stress-relief zone in a coal mine laneway and find out the relationship between the stress-relief zone and the coal and gas outburst risk and analyze the function of stress-relief zone in preventing coal and gas outburst. The Technique of The High-Pressure Jet of Abrasive Drilling Slotting Integration combined with the techniques of The High-Pressure Jet of Abrasive Slotting and drilling is developed to prevent outburst. The combined new technique can improve the effective effected range of pressure relief zone around a single drilling-hole, which can reduce coal and gas outburst by combining "point" , "line", "surface", and "body" of the front of working face coal mass. The technique can reduce coal and gas outburst risk effectively and realize safe production. Practical engineering applications in YanJin NO.1 Mine of Chongqing Tianhong Mining Group indicate that this technique is effective, and can be applied to the relevant engineering projects. [Copyright &y& Elsevier]

Background: There is urgent need to develop population‐level digital biomarkers that can detect Alzheimer's disease (AD) across the continuum, including the preclinical phase. This would allow risk stratification for specialist tests and early recruitment to clinical trials. Motor function declines in the preclinical phase but there has been little exploration of digital motor biomarkers. We have developed 'TasTest', an online test that assesses multiple cognitive domains, including movement. The aim of this study was to compare performance on TasTest with subtests of the Cambridge Neuropsychological Test Battery (CANTAB), a validated digital measure of cognitive decline, and determine how performance on the TasTest items varies with age in a large community sample of older adults. Method: The TasTest items include measures of motor control (speed and coordination of keyboard tapping), processing speed (single and choice reaction time), attention and visual perception (identification of an animal in a distorted image), and visuospatial memory (identifying features from delayed recall of a complex figure). A total of 510 adults aged over 50 years (30% male; mean 65.5 years; SD 7.36), performed TasTest and CANTAB online assessments in their homes. We compared performance on TasTest items to performance on the Paired Associates Learning (PAL) task, which has been previously validated as predictive of accelerated cognitive decline (Barnett et al. 2015, Current Topics in Behavioral Neurosciences, vol 28, Springer, Cham). Result: All TasTest items were significantly associated with PAL scores except the total number of correct responses on the reaction time tasks (Table 1). Several TasTest items had stronger correlations with age than the PAL, these included the keyboard tapping tasks, the number of correctly identified animals on the distorted image, and both simple and choice reaction times (Figure 1). Conclusion: Older people were able to readily complete TasTest tasks remotely from their homes, and performance on most items was significantly associated with scores on a previously validated test of cognition, and correlated with age. TasTest shows potential as a non‐invasive, scalable dementia screening tool. [ABSTRACT FROM AUTHOR]