assessment tests
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2022 ◽  
Vol 6 (1) ◽  
pp. 7
Author(s):  
Maren Eikerling ◽  
Matteo Secco ◽  
Gloria Marchesi ◽  
Maria Teresa Guasti ◽  
Francesco Vona ◽  
...  

Ideally, language and reading skills in bilingual children are assessed in both languages spoken in order to avoid misdiagnoses of communication or learning disorders. Due to limited capacity of clinical and educational staff, computerized screenings that allow for automatic evaluation of the children’s performance on reading tasks (accuracy and speed) might pose a useful alternative in clinical and school settings. In this study, a novel web-based screening platform for language and reading assessment is presented. This tool has been preliminarily validated with monolingual Italian, Mandarin–Italian and English–Italian speaking primary school children living and schooled in Italy. Their performances in the screening tasks in Italian and—if bilingual—in their native language were compared to the results of standardized/conventional reading assessment tests as well as parental and teacher questionnaires. Correlations revealed the tasks that best contributed to the identification of risk for the presence of reading disorders and showed the general feasibility and usefulness of the computerized screening. In a further step, both screening administrators (Examiners) and child participants (Examinees) were invited to participate in usability studies, which revealed general satisfaction and provided suggestions for further improvement of the screening platform. Based on these findings, the potential of the novel web-based screening platform is discussed.


2021 ◽  
Vol 312 ◽  
pp. 125398
Author(s):  
Giada M.C. Gemelli ◽  
Rafael Zarzuela ◽  
Francisco Alarcón-Castellano ◽  
Maria J. Mosquera ◽  
M.L. Almoraima Gil

2021 ◽  
Vol 46 ◽  
pp. S588-S589
Author(s):  
A. Sanz-Paris ◽  
C. Serrano Ciratusa ◽  
C. Guillén Sebastián ◽  
M. Gonzalez Fernandez ◽  
K.A.Alvarado Rosas ◽  
...  

2021 ◽  
Author(s):  
Despoina Petsani ◽  
Evdokimos Konstantinidis ◽  
Katerina Katsouli ◽  
Vasiliki Zilidou ◽  
Sofia Balula Dias ◽  
...  

BACKGROUND Ecologically valid evaluations of patient states or wellbeing by means of new technologies is a key issue in contemporary research in silver science. The in-game metrics generated from interaction of users with serious games can potentially be used in predicting or characterizing user’s health and well-being state. There is currently an increasing body of research that investigates the use of measures from interaction with games as digital biomarkers for health and wellbeing OBJECTIVE The research objective of this paper is the prediction of wellbeing digital biomarkers from data collected during the interaction with Serious Games (SGs), using as ground truth the values of standard clinical assessment tests METHODS The dataset is gathered during the interaction of Parkinson’s disease (PD) patients with the webFitForAll exergame platform, a serious games engine designed for promoting physical activity among older adults, patients and vulnerable population. The collected data, referred as in-game metrics, represent body movements captured by a 3D sensor camera and translated into game analytics. Standard clinical tests gathered before and after the long-term interaction with exergames (pre-test vs post-test) were used to provide the user baselines. RESULTS Our results show that in-game metrics can effectively categorize participants into groups of different cognitive and physical states. Different in-game metrics have higher descriptive value for specific tests and can be used to predict a value range for these tests. CONCLUSIONS Our results provide encouraging evidence for the value in-game metrics as digital biomarkers and can boost the analysis of improving in-game metrics in order to obtain more detailed results.


2021 ◽  
Vol 50 (10) ◽  
pp. 3095-3106
Author(s):  
Muhammad Bilal Hussain ◽  
Rabia Shabir Ahmad ◽  
Muhammad Umair Arshad ◽  
Ali Imran ◽  
Muhammad Imran

During the last decade, scientific investigations have put more focus on diet based therapies to prevent numerous maladies especially hypercholesterolemia and related disorders. Current project was designed to discover the nutraceutical worth of natural unifloral honeys from Acacia nilotica (Desi Kikar) and Citrus limetta (Mosambi) against hypercholesterolemia. Initially both honey varieties were analyzed for TPC and TFC, followed by DPPH and FRAP assays. Afterwards, honey drinks were prepared using different concentrations of Acacia and Citrus honeys (10:20:30 g/250 mL water) and were tested in experimental rat model. Initially the rats were provided with high cholesterol diet (2%) to induce hypercholesterolemia, which were then provided with honey drinks for 8 weeks. These were monitored regularly for feed and water intake and weekly for body weight gain. The blood samples for total cholesterol, LDL, HDL, triglyceride levels as well as safety assessment tests were analyzed at the intervals of 0, 28, and 56 days, which showed that Acacia honey was better in terms of antioxidant potential (DPPH, FRAP, and TPC) than the Citrus honey. Feed and drink intakes along with body weight gain showed significant effect among all the experimental groups. Substantial reduction in cholesterol, LDL and triglycerides was observed in G3 (213.82±3.36 to 183.95±3.02 mg/dL), (150.05±2.30 to 125.44±3.32 mg/dL) and (163.24±4.87 to 133.64±4.75 mg/dL), respectively, from 0 to 56th day. Liver and kidney functioning values decreased within the normal range. Owing to strong antioxidant potential, Acacia honey was proved to be more effective in controlling hypercholesterolemia than the Citrus honey.


2021 ◽  
Vol 2 (4) ◽  
pp. 1-13
Author(s):  
Mohammad Rafayet Ali ◽  
Taylan Sen ◽  
Qianyi Li ◽  
Raina Langevin ◽  
Taylor Myers ◽  
...  

We developed an intelligent web interface that guides users to perform several Parkinson’s disease (PD) motion assessment tests in front of their webcam. After gathering data from 329 participants (N = 199 with PD, N = 130 without PD), we developed a methodology for measuring head motion randomness based on the frequency distribution of the motion. We found PD is associated with significantly higher randomness in side-to-side head motion as measured by the variance and number of large frequency components compared to the age-matched non-PD control group (p = 0.001, d = 0.13). Additionally, in participants taking levodopa (N = 151), the most common drug to treat Parkinson’s, the degree of random side-to-side head motion was found to follow an exponential-decay activity model following the time of the last dose taken (r = −0.404, p = 6e-5). A logistic regression model for classifying PD vs. non-PD groups identified that higher frequency components are more associated with PD. Our findings could potentially be useful toward objectively quantifying differences in head motions that may be due to either PD or PD medications.


QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Mohamed Ahmed Elkady ◽  
Dina Yahia Mansour ◽  
Hamada Farag Abu zaid

Abstract Background The intrapartum management of prolonged pregnancies is aunique challenge to the obstetricians, as the perinatal outcomes areadverse after completed 40 weeks. In such cases, intrapartumasphyxia and meconium aspiration are associated with almost. Objective To comparison between MVP and AFI in predicting neonatal respiratory outcomes in induction of labour in prolonged pregnancies. Patients and Methods The study was a prospective comparative study that was conducted on 266 women with prolonged pregnancy undergoing induction of labour. The patients were recruited from Ain Shams university hospitals during the period from February 2019 to August 2019. Results Amniotic fluid index and MVP were evaluated in 269 women with pregnancies of 40 or more weeks and intact membranes using a 3.5-MHz linear transducer. Both measurements were obtained for each participant by the same obstetrician in one sitting. Oligohydramnios was defined as an AFI of 5 cm or less or an DVP of 1 cm or less. External cardiotocography was performed during intrapartum period in all cases. Fetal distress was diagnosed when any one of the nonreassuring fetal heart rate pattern occurred or when the Apgar score at birth was 6 or less. The results were analyzed by the chi(2) and the t tests. Conclusion The use of the AFI and SDVP is useful in predicting neonatal outcomes in the induction of labor in prolonged pregnancies. The SDVP measurement appears to be the more appropriate method for predicting neonatal outcomes. The same observation was found when AFI and SDVP were combined. It is also logical to recommend that only one method should be used for fetal assessment tests.


2021 ◽  
Vol 14 (4) ◽  
pp. 388-398
Author(s):  
Shilpa Datar

This article explains the steps followed in developing psychometric personality assessment tests from the Indian psychological/Vedic perspective while also mentioning the psychometric properties of the scales. Its numerous publications in peer-reviewed journals are by itself an acceptance of the validity and reliability of the scale, along with the accreditation obtained from concerned certifying authorities in India. Additionally, its use in multiple academic and research organisations both in India and abroad throws up interesting possibilities using Indian psychological concepts can offer solutions to, being relevant to all peoples of the world today, as they were from times immemorial. The article draws attention to the multiple applications that the five-element theory of personality understanding offers and explores how this can used in organisations to provide for higher retention of employees, better employee engagement and higher cohesiveness and cultural fit amongst teams within organisations, especially when they are integrated in the recruitment processes itself.


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