Self-Assessment Test Research Articles

Rutinas de concentración en tenistas de nivel intermedio

El objetivo de la investigación fue estructurar rutinas de concentración en los tenistas de nivel intermedio de la Escuela Superior Politécnica de Chimborazo (ESPOCH) para aplicarlas antes, durante y después de un partido o entrenamiento. La investigación es de nivel descriptivo, exploratorio, bibliográfico de campo. Se aplicó el método deductivo con enfoque cuali cuantitativo. La muestra fue intencional con el total de la población 16 tenistas varones y 4 mujeres que se encuentran entre los 18 y 23 años de edad. Se realizó un diagnóstico inicial mediante el test tennis routines self-assessment, después se realizó la intervención psicológica con la estructuración de rutinas de concentración específicas para cada uno de los jugadores. Los datos fueron registrados, tabulados, analizados e interpretados y permitieron conocer que la aplicación de las rutinas de concentración se convierte en un elemento clave de la adecuada utilización del tiempo de no juego en los tenistas de la ESPOCH.

Recognizing Emotions Evoked by Music Using CNN-LSTM Networks on EEG Signals

Emotion is considered to be critical for the actual interpretation of actions and relationships. Recognizing emotions from EEG signals is also becoming an important computer-aided method for diagnosing emotional disorders in neurology and psychiatry. Another advantage of this approach is recognizing emotions without clinical and medical examination, which plays a major role in completing the Brain-Computer Interface (BCI) structure. Emotions recognition ability, without traditional utilization strategies such as self-assessment tests, is of paramount importance. EEG signals are considered the most reliable technique for emotions recognition because of the non-invasive nature. Manual analysis of EEG signals is impossible for emotions recognition, so an automatic method of EEG signals should be provided for emotions recognition. One problem with automatic emotions recognition is the extraction and selection of discriminative features that generally lead to high computational complexity. This paper was design to prepare a new approach to automatic two-stage classification (negative and positive) and three-stage classification (negative, positive, and neutral) of emotions from EEG signals. In the proposed method, directly apply the raw EEG signal to the convolutional neural network and long short-term memory network (CNN-LSTM), without involving feature extraction/selection. In prior literature, this is a challenging method. The suggested deep neural network architecture includes 10-convolutional layers with 3-LSTM layers followed by 2-fully connected layers. The LSTM network in a fusion of the CNN network has been used to increase stability and reduce oscillation. In the present research, we also recorded the EEG signals of 14 subjects with music stimulation for the process. The simulation results of the proposed algorithm for two-stage classification (negative and positive) and three-stage classification (negative, neutral and positive) of emotion for 12 active channels showed 97.42% and 96.78% accuracy and Kappa coefficient of 0.94 and 0.93 respectively. We also compared our proposed LSTM-CNN network (end-to-end) with other hand-crafted methods based on MLP and DBM classifiers and achieved promising results in comparison with similar approaches. According to the high accuracy of the proposed method, it can be used to develop the human-computer interface system.

ESO-ESMO Masterclass in Clinical Oncology: Analysis and Evaluation of the Learning Self-Assessment Test.

Masterclass in Clinical Oncology (MCO) represents the "key educational event" of European School of Oncology's (ESO) teaching program. MCO in collaboration with European Society for Medical Oncology (ESMO) is a multidisciplinary and clinical oriented educational event offered mainly to young oncologists worldwide. It provides full immersion in oncology with clinical case presentations and a Learning Self-Assessment Test (LSAT).LSAT is consisting of 45 multiple choice questions on an electronic platform referring to the material taught during the MCO. Three questions related to their topics are requested in advance from each faculty member. The major intentions of LSAT are the following: (a) the learning reflection of the massive information given during 4-5days of intensive teaching and (b) to offer the opportunity to the participants to prepare themselves for their National Boards or for ESMO examination.In this article, we are analyzing and evaluating the results of LSAT from the ESO-ESMO Central European MCOs. We used the information of Central European MCOs for analysis due to the homogeneity of the available data. We assessed the level of participants' knowledge in relation to their oncology specialty or to their country of origin and the level of the quality of faculty teaching.

Postreading Self-Assessment and CME Test—Preferred Responses

Postreading Self-Assessment and CME Test—Preferred Responses

Postreading Self-Assessment and CME Test

Postreading Self-Assessment and CME Test

Development of Attitude Assessment Instruments on Learning Text Report Observation Results for 7th Grade Students Smp Swasta Taman Harapan Medan

This study aims to describe the pattern of development, validity and feasibility and effectiveness of attitude assessment instruments on learning the text of observational reports for grade VII students SMP Swasta Taman Harapan Medan. Research instruments in the form of questionnaires and observation sheets. The assessment instrument developed in this study was an attitude assessment instrument in the form of a self-assessment test. The results of the field trials show that the results of the material expert's assessment of the instrument's worth were 89.17% and were valid qualifications. While the evaluation of expert evaluation results obtained a percentage of 88.57% and are in valid qualifications. Based on the results of trials that have been carried out, it can be stated that the attitude assessment instruments developed already have good validity so that they are suitable for use in learning assessment activities. In the field trial phase the researchers tested the level of students' understanding ability to see the level of effectiveness of the assessment instrument for attitude assessment. Based on the analysis results obtained an average ability of students' attitudes/affective that is 76.46% with a good category. The results obtained in this study indicate that self-assessment instruments can measure the ability of student attitudes and provide instructions that in learning Indonesian by using self-assessment instruments are more appropriate to be applied in learning so that teachers can further evaluate the advantages and disadvantages of learning received by students.

Avoiding gambling harm: An evidence-based set of safe gambling practices for consumers.

Prior studies have identified self-regulatory strategies that are infrequently used by problem-gamblers, but which might be protective if used. However, guidelines with evidence-based safe gambling practices (SGPs) that prevent gambling-related harm are lacking. This study aimed to: 1) identify a parsimonious set of evidence-based SGPs that best predict non-harmful gambling amongst gamblers who are otherwise most susceptible to experiencing gambling harm; 2) examine how widely are they used; and 3) assess whether their use differs by gambler characteristics. A sample of 1,174 regular gamblers in Alberta Canada completed an online survey measuring uptake of 43 potential SGPs, gambling harms and numerous risk factors for harmful gambling. Elastic net regression identified a sub-sample of 577 gamblers most susceptible to gambling harm and therefore most likely to benefit from the uptake of SGPs. A second elastic net predicted gambling harm scores in the sub-sample, using the SGPs as candidate predictors. Nine SGPs best predicted non-harmful gambling amongst this sub-sample. The behaviour most strongly associated with increased harm was using credit to gamble. The behaviour most strongly associated with reduced harm was 'If I'm not having fun gambling, I stop'. These SGPs form the basis of evidence-based safe gambling guidelines which can be: 1) promoted to consumers, 2) form the basis of self-assessment tests, 3) used to measure safe gambling at a population level, and 4) inform supportive changes to policy and practice. The guidelines advise gamblers to: stop if they are not having fun, keep a household budget, keep a dedicated gambling budget, have a fixed amount they can spend, engage in other leisure activities, avoid gambling when upset or depressed, not use credit for gambling, avoid gambling to make money, and not think that strategies can help you win. These guidelines are a promising initiative to help reduce gambling-related harm.

Postreading Self-Assessment and CME Test—Preferred Responses

Postreading Self-Assessment and CME Test—Preferred Responses

Postreading Self-Assessment and CME Test

Postreading Self-Assessment and CME Test

Can self-reported pain characteristics and bedside test be used for the assessment of pain mechanisms? An analysis of results of neuropathic pain questionnaires and quantitative sensory testing.

Hyperalgesia and allodynia are frequent in neuropathic pain. Some pain questionnaires such as the Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) and the Neuropathic Pain Scale (NPS) include self-assessment or bedside testing of hyperalgesia/allodynia. The aim of this study was to determine to what extent LANSS and NPS data are congruent with findings on quantitative sensory testing (QST). Self-reported presence of dynamic mechanical allodynia (DMA) and descriptors of hot, cold, or deep ongoing pain (the NPS and LANSS) as well as bedside findings of mechanical allodynia (LANSS) were compared with signs of DMA and thermal hyperalgesia on QST in 617 patients with neuropathic pain. Self-reported abnormal skin sensitivity (LANSS) showed a moderate concordance with DMA during bedside test (67.9%, κ = 0.391) or QST (52.8%, κ = 0.165). Receiver operating curve analysis for self-reported DMA yielded similar area-under-the-curve values for the LANSS (0.65, confidence interval: 0.59%-0.97%) and NPS (0.71, confidence interval: 0.66%-0.75%) with high sensitivity but low specificity. Self-reported deep pain intensity was higher in patients with blunt pressure hyperalgesia, but not in patients with DMA or thermal hyperalgesia. No correlations were observed between self-reported hot or cold pain quality and thermal hyperalgesia on QST. Self-reported abnormal skin sensitivity has a high sensitivity to identify patients with DMA, but its low specificity indicates that many patients mean something other than DMA when reporting this symptom. Self-reported deep pain is related to deep-tissue hypersensitivity, but thermal qualities of ongoing pain are not related to thermal hyperalgesia. Questionnaires mostly evaluate the ongoing pain experience, whereas QST mirrors sensory functions. Therefore, both methods are complementary for pain assessment.

Postreading Self-Assessment and CME Test—Preferred Responses

Postreading Self-Assessment and CME Test—Preferred Responses

Postreading Self-Assessment and CME Test

Postreading Self-Assessment and CME Test

Modeling Relationships Among Young Learners’ Self-assessment, Learning Attitude, and Language Test Performance

Modeling Relationships Among Young Learners’ Self-assessment, Learning Attitude, and Language Test Performance

RESEARCH OF HUMAN FATIGUE AND MEASUREMENT PARAMETERS FOR WORKABILITY ASSESSMENT

Human fatigue is reduced working capability for certain period of time as the result of unusual or prolonged workload. Fatigue arises when the body’s energy requirements exceed its supply. Fatigue first manifests as reduced concentration capability causing movement coordination and precision disruption leading to decreasing workability. Fatigue is an object of research in physiology, psychology, work ergonomics, medicine, and biotechnology where each domain has a focus on mental fatigue. The functional state in the context of professional activity is defined as a complex of characteristics of functions and qualities that determine the fulfilment of labour activity. Furthermore, a comprehensive estimation of subject functional state in combination with other factors like subject self-assessment and objective performance tests (cognitive load tests) is a necessary input for the evaluation of workability and efficiency on task. The heterogeneous nature of fatigue as a systemic manifestation requires analysis of multiple key parameters which are relevant to the specific type. The current feasibility study focuses on human biological signal from electrical activity of heart, brain, muscles and skin potentials as well as temperature, position, and respiration to obtain diagnostic parameters reflecting the state of cardiovascular, muscles, and central nervous systems for physiological monitoring of vital signs. The fatigue physiological parameter and feature formalization aim to support the development of a platform with complex passive multi-level fatigue monitoring system and workability evaluation system designed in order to provide an integrated service.

Postreading Self-Assessment and CME Test

Postreading Self-Assessment and CME Test

Postreading Self-Assessment and CME Test—Preferred Responses

Postreading Self-Assessment and CME Test—Preferred Responses

Postreading Self-Assessment and CME Test—Preferred Responses

Postreading Self-Assessment and CME Test—Preferred Responses

Postreading Self-Assessment and CME Test

Postreading Self-Assessment and CME Test

Postreading Self-Assessment and CME Test

Postreading Self-Assessment and CME Test

Postreading Self-Assessment and CME Test—Preferred Responses

Postreading Self-Assessment and CME Test—Preferred Responses