Screening Device Research Articles

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

AbstractFlatfoot is an orthopedic malformation where the inner foot arch flattens during motion, potentially leading to chronic musculoskeletal issues. Monitoring foot conditions is essential, as existing screening methods often need more objectivity and cost‐effectiveness. This research develops an insole‐based screening device using self‐powered triboelectric nanogenerators (TENGs) as tactile sensors and Arduino hardware setup. TENG converts mechanical energy into electrical energy, offering simple fabrication, cost‐effectiveness, longevity, and high‐output power benefits. The device records the electrical output generated by foot movements via Arduino and sends data via Bluetooth to the processing tool. Machine learning algorithms employing the Random Forest Classifier process the data to detect flatfoot conditions accurately after training sessions. For data collection, 100 participants are asked to march and walk for the same duration and distance, ensuring consistent output. Analysis reveals that the insoles' middle sensors produce higher electricity levels in individuals with flatfoot, showing a uniform pressure distribution across the foot and contact in the arch area. In contrast, individuals with normal feet exert more pressure on the toe and heel foot areas. The system achieves an overall accuracy of 82%, demonstrating the insole's potential as a commercial flatfoot detection device.

Health Effects Of Using Visual Display Terminal

Screen devices are widely used office tools around the world. We are also known as Visual Display Terminal (VDTs). The use of VDT causes health hazards due to the need for high levels of attention and concentration and constant sitting work. Musculoskeletal disorders such as back pain, upper extremity disorders, eye problems, fatigue, and stress are common in VDT users. The computer is a frequently used display device, and computer vision syndrome (CVS) has emerged as a leading occupational health problem. Symptoms of CVS include dry eye, eye fatigue, blurred vision, double vision, redness in the eyes, burning and stinging sensation in the eyes, increase or decrease in tears, double vision, delay in changing focus and color perception irregularities, and deterioration in near vision. Risks arising from screened vehicles can be avoided in healthy and safe working conditions where the work center is set up correctly and breaks are taken at regular intervals. Simple measures such as exercising regularly, taking short frequent breaks, and using a screen filter are important simple interventions to prevent work-related diseases in VDT users. Since VDT use is a frequent part of our lives, we wanted to draw attention to VDT-related disorders and provide simple interventions to prevent them.

Prevalence and Correlates of Meeting Physical Activity and Screen Time Guidelines Among Children of English‐ and Non‐English‐Speaking Backgrounds in Australia

ABSTRACTBackgroundLimited evidence suggests inequality in the prevalence of physical activity and screen time for children of non‐English‐speaking backgrounds (NESB). However, factors associated with these behaviours are understudied. This study identified the prevalence and correlates of meeting guidelines (physical activity, screen time and combined) among children of English‐speaking backgrounds (ESB) and NESB.MethodsParticipants were from the Mothers and their Children's Health Study, a sub‐study of the Australian Longitudinal Study on Women's Health (1973–1978 cohort). Mothers provided information on physical activity and screen time behaviours of up to three children (aged 2–12 years). Age‐specific Australian guidelines were used to classify children as meeting or not meeting physical activity and screen time guidelines. Those born in a non‐English‐speaking country or primarily speaking a non‐English language at home were classified as ‘NESB’. Multivariable‐adjusted logistic regression analyses accounting for family‐level clustering were used for analysis.ResultsData were from 4143 children (mean age 7.3 ± 2.9 years, 6.7% NESB). Around 17% children of NESB met physical activity guidelines (vs. 25% ESB, p = 0.002), 63% met screen time guidelines (vs. 58% ESB, p = 0.150), and 9% met combined physical activity and screen time guidelines (vs. 15% ESB, p = 0.011). Increasing age was inversely associated with meeting physical activity guidelines among children of both backgrounds (OR [95%CI]: NESB 0.81 [0.69–0.95], ESB 0.85 [0.82–0.87]). Family‐level correlates (maternal education and physical activity level) were associated with meeting physical activity, screen time or combined guidelines among children of ESB only. A screen device in the child's bedroom was inversely associated with all outcomes among children of ESB. Children of NESB with a large yard at home had higher odds of meeting physical activity (4.14 [1.72–10.00]) and combined guidelines (4.48 [1.61–12.41]).ConclusionsChildren of NESB were less likely to meet physical activity and combined guidelines. Interventions may need to be tailored based on ESB background, with children of NESB (particularly older children and those with limited outdoor space at home) being a higher priority for intervention. Future large‐scale studies examining a broader range of potential correlates, including cultural factors, are warranted.

Estimating young children’s exposure to food and beverage marketing on mobile devices

BackgroundFood and beverage marketing drives poor diet quality and obesity risk among children. However, it is unknown how much young children are exposed to digital food and beverage marketing on mobile devices like tablets and smartphones. ObjectiveEstimate how frequently young children, who are particularly vulnerable to advertising, view food and beverage marketing while using mobile devices. MethodsSeventy-five 2-11 year-olds and their parents from Massachusetts participated in this cross-sectional study from 2022-2023. Average estimated exposure to food and beverage advertisements and food/beverage brand appearances was calculated for 5 consecutive days using a combination of battery screenshots and average estimates of marketing collected from children’s devices. Generalized estimating equations tested for sociodemographic differences in advertising exposure. ResultsYoung children’s estimated exposure to food and beverage advertisements and brand appearances on mobile devices was highly variable, with many children seeing none on a given day but a substantial minority viewing large amounts. Estimated exposure depended on how much a child used either YouTube or a gaming app; there was no exposure on other apps used by children. Higher parental educational attainment was associated with substantially reduced risk of a child viewing two or more food or beverage advertisements or brand appearances on a given day (aOR=0.26, 95%CI: 0.10, 0.70). ConclusionsCertain children, particularly those from households with lower parental educational attainment, may be at risk for high exposure to digital food and beverage marketing, while other children may have minimal risk. Future research should explore exposure in more diverse samples with valid, feasible measures. SummaryAmong n=75 2-11 year-olds, children’s estimated exposure to digital food/beverage marketing on digital screen devices varied widely. Lower parental education was associated with higher child exposure to food/beverage marketing.

Maternal Beliefs about Screen Device Use Predict Preschool Children’s Screen Time

Maternal Beliefs about Screen Device Use Predict Preschool Children’s Screen Time

Laser-induced multi-doped graphene extended-gate field-effect transistor sensor for enhanced detection of cystatin C

In this study, we amplified the capabilities of laser-induced graphene (LIG) by developing a multi-doped LIG extended-gated field-effect transistor (EG-FET) sensor. This sensor integrates a multi-doped LIG EG electrode array as a disposable sensing component with a standard MOSFET for reusable transduction. The multi-doped LIG was synthesized using a dual-approach: initially, by using a MnCl2-doped polyimide (MnCl2-PI) film through precursor compounding, and subsequently, by employing a CO2 laser to respectively in situ generate MnO2 nanoparticles and gold nanoparticles (Au NPs) via direct laser conversion. By incorporating the resultant multi-doped LIG (Au NPs/MnO2/LIG) as the EG electrode, we boosted its electrical efficiency and provided ideal sites for the papain immobilization. This facilitated the selective binding of protein complexes with cystatin C (Cys C), allowing for precise measurement. Notably, the sensor exhibited a robust linear correlation across a concentration range from 50 ag/μL to 0.25 ng/μL and achieved a detection limit of 50 ag/μL. These advancements not only address traditional limitations of LIG applications but also highlight the potential of LIG-based EG-FET portable devices for accurate and early screening of chronic kidney disease (CKD).

Evaluation of a Self-collected Device for Human Papillomavirus Screening to Increase Cervical Cancer Screening

Evaluation of a Self-collected Device for Human Papillomavirus Screening to Increase Cervical Cancer Screening

A Low-Cost, Portable, Multi-Cancer Screening Device Based on a Ratio Fluorometry and Signal Correlation Technique.

The autofluorescence of erythrocyte porphyrins has emerged as a potential method for multi-cancer early detection (MCED). With this method's dependence on research-grade spectrofluorometers, significant improvements in instrumentation are necessary to translate its potential into clinical practice, as with any promising medical technology. To fill this gap, in this paper, we present an automated ratio porphyrin analyzer for cancer screening (ARPA-CS), a low-cost, portable, and automated instrument for MCED via the ratio fluorometry of porphyrins. The ARPA-CS aims to facilitate cancer screening in an inexpensive, rapid, non-invasive, and reasonably accurate manner for use in primary clinics or at point of care. To accomplish this, the ARPA-CS uses an ultraviolet-excited optical apparatus for ratio fluorometry that features two photodetectors for detection at 590 and 630 nm. Additionally, it incorporates a synchronous detector for the precision measurement of signals based on the Walsh-ordered Walsh-Hadamard transform (WHT)w and circular shift. To estimate its single-photodetector capability, we established a linear calibration curve for the ARBA-CS exceeding four orders of magnitude with a linearity of up to 0.992 and a low detection limit of 0.296 µg/mL for riboflavin. The ARPA-CS also exhibited excellent repeatability (0.21%) and stability (0.60%). Moreover, the ratio fluorometry of three serially diluted standard solutions of riboflavin yielded a ratio of 0.4, which agrees with that expected based on the known emission spectra of riboflavin. Additionally, the ratio fluorometry of the porphyrin solution yielded a ratio of 49.82, which was ascribed to the predominant concentration of protoporphyrin IX in the brown eggshells, as confirmed in several studies. This study validates this instrument for the ratio fluorometry of porphyrins as a biomarker for MCED. Nevertheless, large and well-designed clinical trials are necessary to further elaborate more on this matter.

Comparison of a Scheimpflug imaging with other screening indices in diagnosing keratoconus and keratoconus suspect

Keratoconus (KC) is an irreversible blinding eye disease; therefore, early screening of KC suspects (KCS) is crucial for protecting patients’ quality of life. Scheimpflug imaging is a commonly used screening device in clinical practice. We aimed to evaluate the diagnostic ability of a Scheimpflug imaging device (Scansys) for KC and KCS and compared it with other Scheimpflug-based devices (Pentacam and Corvis ST). This prospective case-control study included 107 normal eyes, 72 KCS, and 57 KC. Scansys screening index Keratoconus probability (KCP) showed excellent performance in diagnosing KC at a cutoff value of 16.4 (area under the receiver operating characteristic [AUROC] = 1.000), with 100% sensitivity and 98.11% specificity. KCP had a better KCS diagnostic ability at a cutoff value of 8.9 (AUROC = 0.813) than Corvis biomechanical index (CBI, AUROC = 0.764), reaching 67.61% sensitivity and 85.85% specificity. Pentacam screening index Belin/Ambrósio enhanced ectasia display deviation (BAD-D) showed the best performance with 92.96% sensitivity and 89.62% specificity at a cutoff value of 1.525 (AUROC = 0.970) in diagnosing KCS. Scansys provides accurate KCP parameters in diagnosing KC; however, the efficiency of diagnosing KCS should be further optimized.

Implementation of home OSAHS screening device based on sleep sounds

Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a common chronic sleeping respiratory condition. Screening for OSAHS approaches based on sleep breathing sounds has received much attention since it can provide fully noncontact monitoring at home. Deploying a diagnostic sound-based OSAHS system on a smartphone not only interferes with regular phone use but may also pose privacy problems, as well as suffer from decreasing accuracy owing to device variances. This work describes a local OSAHS monitoring system implementation designed for a dedicated device to estimate the apnea-hypopnea index and screening for OSAHS while doing away with concerns about the abovementioned issue. The OSAHS screening system is deployed on a Kendryte K510 (Canaan Inc.), a low-power RISC-V 64-bit CPU that has 2.5 TFLOPS, to analyze sleep breath sounds in a 9-s window. The design results are relatively low-cost and efficient for screening severe OSAHS. The equipment can be further used as a platform to evaluate the performance of the OSAHS diagnosis model.

It's All in the Touch: Authenticating Users With HOST Gestures on Multi-Touch Screen Devices

It's All in the Touch: Authenticating Users With HOST Gestures on Multi-Touch Screen Devices

White analytical chemistry evaluation of medicines quality screening devices in low- and middle-income countries field settings

Addressing the quality of circulating medicines in low- and middle-Income countries is challenging due to limited access to affordable and rapid laboratory analyses. Moreover, traditional analytical methods generate hazardous waste, posing further environmental and health risks, conflicting with several United Nations Sustainable Development Goals, such as reducing pollution and conserving ecosystems.In response to these environmental challenges, the concept of green analytical chemistry emerged promoting environmentally friendly practices through principles such as reducing chemical use, minimizing energy consumption, and managing waste. Various green metric tools have been developed to assess the environmental impact of analytical methods, but these often neglect the reliability and applicability of the methods. To address this gap, approaches like White Analytical Chemistry (WAC) have been proposed, integrating criteria for environmental safety, reliability, and cost-effectiveness. WAC's principles are categorized into red (fitness for purpose), green (environmental safety), and blue (cost-efficiency) criteria.This study aims to use the WAC approach to provide a holistic comparison of different medicines' quality screening devices, helping developing countries with high SF medicine prevalence make informed choices. Three different situations are investigated: ex-ante evaluation, ex-post evaluation of the qualitative performances and ex-post evaluation of the quantitative performances of the most used medicines’ quality screening devices in low- and middle-income countries field settings.

Screen Time and its Determinants in Infants and Toddlers: Results from a Metropolitan Area of Istanbul

Objective: This cross sectional study aimed to assess screen time and associated factors in infants and toddlers under the age of 3 years in a metropolitan area. Method: Data were collected from 269 mothers registered in a family health center using a questionnaire. The questionnaire examines the demographic characteristics of families, the time spent by infants and toddlers with screen devices, and factors that may affect screen time, such as income status, education level and resources. Results: Three-quarters of infants and toddlers in this sample used screen devices (n=202, 75.1%). Total screen time ranged from 20 to 270 min/day, with a mean of 101.8±56.2 min/day. Infants and toddlers spent an average of 71.9 min/day watching television, 63.1 min/day using tablets, and 36.85 min/day using mobile phones. Total daily screen time exceeded World Health Organization (WHO) recommendations in 36.3% of infants aged 0-12 months, 84.3% of toddlers aged 13-24 months, and 49.4% of toddlers aged 25-36 months. Age of infant and toddler, maternal education level, and family income were identified as factors associated with risky screen exposure. Conclusion: Families can be educated about the potential consequences of screen time and strategies to reduce screen use. In trainings, families in the risk group should be given priority in terms of factors affecting screen time such as income status, education level and age.

Preschool-aged children 24-hour movement behaviours before and during COVID-19

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) affected health, economies, and lifestyles, but little is known about its impact on children. We aimed to investigate changes in 24-hour (h) movement behaviours of pre-school children before and during COVID-19, and factors that influenced these. Children aged 3–6 years were recruited in Beijing in 2019, and their movement behaviours over 24 ​h assessed by questionnaire, as part of the International Study of Movement Behaviors in the Early Years (SUNRISE) study. We conducted the survey again during COVID-19, and compared the children’s movement behaviours before and during COVID-19 and associated factors. Overall, 196 parents completed the survey at both time points. The percentage of children meeting movement guidelines decreased during the pandemic (p ​< ​0.01). Total physical activity decreased less among children getting good quality sleep or with more adults in the household (p ​< ​0.01). Children who were not cared for primarily by their mother had a greater decrease in moderate to vigorous intensity physical activity (p ​= ​0.02), but the decrease was smaller among children whose parents used the internet to support their physical activity and/or screen time (p ​< ​0.05). Children who used electronic screen devices in the 2 ​h before bedtime or whose parents reported body temperature in webchats had a greater increase in sedentary screen time (p ​< ​0.05). Children spending more time outdoors showed a smaller decrease in sleep (p ​< ​0.01). Overall, children’s movement behaviours changed significantly during the pandemic.

Validation of a Microfluidic Device Prototype for Cancer Detection and Identification: Circulating Tumor Cells Classification Based on Cell Trajectory Analysis Leveraging Cell-Based Modeling and Machine Learning.

Microfluidic devices (MDs) present a novel method for detecting circulating tumor cells (CTCs), enhancing the process through targeted techniques and visual inspection. However, current approaches often yield heterogeneous CTC populations, necessitating additional processing for comprehensive analysis and phenotype identification. These procedures are often expensive, time-consuming, and need to be performed by skilled technicians. In this study, we investigate the potential of a cost-effective and efficient hyperuniform micropost MD approach for CTC classification. Our approach combines mathematical modeling of fluid-structure interactions in a simulated microfluidic channel with machine learning techniques. Specifically, we developed a cell-based modeling framework to assess CTC dynamics in erythrocyte-laden plasma flow, generating a large dataset of CTC trajectories that account for two distinct CTC phenotypes. Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) were then employed to analyze the dataset and classify these phenotypes. The results demonstrate the potential effectiveness of the hyperuniform micropost MD design and analysis approach in distinguishing between different CTC phenotypes based on cell trajectory, offering a promising avenue for early cancer detection.

A stepped vibrating screening device with a crushing function based on the difference in tuber-soil aggregate breakage behaviour

To increase the difference in the particle size distribution of root tuber and soil aggregates and further promote the segregation effect of the binary mixture under external force. The present study investigates the bulbs of Fritillaria thunbergii (BFT) as the research subject. Initially, static compression and dynamic impact tests were conducted on BFT and soil aggregates. Subsequently, a breakage model of BFT and soil aggregates was established based on the Tavares UFRJ Breakage Model, and the accuracy of the breakage model and mechanical parameters was verified. Lastly, the optimal structural and operating parameters of the screening device with a crushing function were determined through single-factor testing and multi-objective optimization. The results indicate that the breakage resistance of BFT was significantly higher than that of soil aggregates, as evident from the differences in fracture energy and damage parameters. Furthermore, the optimal operating parameters of the new vibrating screen were determined by maximizing the soil aggregate breakage rate and minimizing the BFT breakage rate.

Investigation of cellulosic fines removal in dissolving pulp production with small-holed screen plates

This study investigates the influence of hole diameter and hole spacing on the fractionation performance using an industrial scale pressure screen. The objective is to increase the quality of the long fiber fraction during dissolving pulp production by separating cellulosic fines from unbleached softwood sulfite pulp containing 8% (w/w) primary fines (fibrous particles shorter than 0.200 mm fiber length). Different screen basket designs were applied, using the same hole spacing while varying hole diameter, and vice versa. This allowed a comparison of the separate influence of hole diameter and hole spacing on the separation efficiency. Production parameters of screening devices are always a compromise between separation efficiency, runnability/plugging, and throughput. High aperture velocity, high feed consistency and low reject rate were identified as the crucial operating parameters for high cellulosic fines removal efficiency, which turned out to be positive in terms of throughput. Considering the different hole diameters, the industrial trials showed that smaller holes yielded better fractionation results. Whereas reduced hole spacing resulted in a denser fiber network on the screen, reducing the amount of fines and short fibers passing, thereby leading to worse fractionation results. By choosing suitable screening conditions, we found that the weight-weighted fines content was reduced more than 50 percent using a one stage fiber fractionation screen set up under industrial conditions. The lowered fines content in the long fiber fraction is expected to allow a reduced purification effort and a lower chemical demand in the subsequent processes of dissolving pulp production. By reducing the fines fraction, consisting of short fibers, fiber fines, as well as mainly short-chain alkali-soluble carbohydrates (hemicelluloses), improvements in process efficiency and dissolving pulp quality can be achieved.

Samarium, nitrogen co-Doped carbon dots for detection of Epinephrine: Theoretical and experimental

In this study we have developed a highly sensitive optical sensor for the detection of epinephrine using carbon dots co-doped with samarium and nitrogen (Sm,N-CDs) with a very low detection limit of 28.1 nM and a broad linear dynamic range from (0–105 nM). Various techniques were employed to characterize the synthesized material, aiming to understand its morphological and physicochemical characteristics. The synergistic effect of the synthesized Sm,N-CDs demonstrated excellent optical performance, high selectivity and photostability. Additionally, good recovery findings were obtained when the sensor’s viability for Epinephrine detection in biological fluid samples that had been spiked was evaluated. In addition, we have developed an smartphones-based sensor to record the solution’s fluorescent color shift as it is being sensed. Using a mobile phone application to examine the green, red, and blue values from these photos, the comparable LOD was found to be 17.21 μM in a (0–90 μM) wide linear range of concentration. This straightforward, affordable, and quick screening device is highly demanding for the on-the-spot identification of the analytes at remote locations where advanced instrumentation is typically unavailable. Density functional theory was used to examine energy, stability, band gap, and how Ep interacted with the Sm,N-CDs nanoparticles.

“Jail isn’t the answer for these inmates”: how to respond to methamphetamine use in prisons

PurposeThe correctional system continues to face challenges with responding to and managing methamphetamine use among incarcerated individuals. This study aims to uncover what resources and policies could better help correctional workers deal with these challenges. The authors also examined methamphetamine’s impact on correctional work and staff well-being.Design/methodology/approachAn online survey was distributed to correctional workers (n = 269) in Manitoba, Canada, featuring questions about their experiences related to methamphetamine use in populations under their care, what supports are needed to adequately address the concern, and the potential effects on self and their occupational responsibilities. Using NVivo software, survey responses were analysed using an emergent theme approach.FindingsCorrectional workers believed policies and protocols for managing methamphetamine use and withdrawal are currently inadequate. Correctional workers reported having monthly contact with incarcerated individuals experiencing methamphetamine withdrawal, posing safety concerns to them and other incarcerated individuals. Respondents proposed more education and training on managing incarcerated people withdrawing from methamphetamines, related to the symptoms of use and withdrawal and how to support persons detoxing. Increased human and material resources were reported as being needed (e.g. more nurses onsite and better screening devices). Respondents also desired more medical intervention, safe living spaces for methamphetamine users and programming to support addiction.Originality/valueThe current study unpacks correctional workers’ perspectives, support desires and their experiences managing methamphetamine use amongst incarcerated people. The authors discuss the required knowledge to respond to gaps in prison living, re-entry and related policy needs.

A high-throughput system for drug screening based on the movement analysis of zebrafish

Zebrafish is a highly advantageous model animal for drug screening and toxicity evaluation thanks to its amenability to optical imaging (i.e., transparency), possession of organ structures similar to humans, and the ease with which disease models can be established. However, current zebrafish drug screening technologies and devices suffer from limitations such as low level of automation and throughput, and low accuracy caused by the heterogeneity among individual zebrafish specimens. To address these issues, we herein develop a high-throughput zebrafish drug screening system. This system is capable of maintaining optimal culturing conditions and simultaneously monitoring and analyzing the movement of 288 zebrafish larvae under various external conditions, such as drug combinations. Moreover, to eliminate the effect of heterogeneity, locomotion of participating zebrafish is assessed and grouped before experiments. It is demonstrated that in contrast to the experimental results without pre-selection, which shows ∼20 % damaged motor function (i.e., degree of attenuation), the drug-induced variations among zebrafish with equivalent mobility reaches ∼80 %. Overall, our high-throughput zebrafish drug screening system overcomes current limitations by improving automation, throughput, and accuracy, resulting in enhanced detection of drug-induced variations in zebrafish motor function.