Development of a scale to measure gamer experiences in sport video games

The aim of this study is to develop a scale to measure gamer experiences in sport video games. A two-phase data analysis was conducted with 400 respondents randomly assigned to one of two phases. In each phase, respondents were tasked to play a sports car racing game and complete a survey instrument. The study identified six dimensions of sports video games based on gamer experience. These are Challenge, Competence, Flow, Immersion, Enjoyment and Negative Affect. Using this scale, it will be possible to examine differences in gamer experience across sports video games. More importantly, it will be possible to examine the relationship between gamer experience and sponsorship effectiveness in future studies using this scale

Sponsorship and advertising in sport: a study of consumers' attitude

Research question: Advertising has been considered a less efficient vehicle of marketing communication. One recent study refuted that unlike traditional adverting mediums, consumers' attitude towards advertising was rather favourable in sport. This study compared consumers’ attitudes between advertising and sponsorship in sport and examined the antecedents (beliefs) and consequence (purchase intentions) of attitude in advertising and sponsorship. Research methods: Data were collected from 324 consumers. For testing of psychometric properties of the measures, a confirmatory factor analysis and a multiple invariance test were employed. A paired t-test, structural equation modeling, and invariance tests were conducted to test the research hypotheses. Results and Findings: There was no significant difference in consumers’ attitudes between advertising and sponsorship which were both deemed favourable. The path analyses revealed two positive beliefs (product information and hedonism/pleasure) and one negative belief (falsity/no sense) as significant predictors of attitude in both models. Good for the economy was an additional significant predictor of attitude in advertising but it was not so in sponsorship. The strengths of the three path coefficients were statistically identical across the two models. Attitude was a significant indicator of purchase intentions in both models; however, the invariance test revealed that the path in adverting was statistically stronger than that in sponsorship. Implications: This study provides important knowledge about consumers’ cognitive structures that could explain their decision making processes. Sport marketers could develop their promotion strategies more successfully, conveying their intent in a manner consistent with positive beliefs and avoiding activating negative beliefs

Acori graminei rhizoma Ameliorated Ibotenic Acid-Induced Amnesia in Rats

In the present study, we investigated the effects of Acori graminei rhizoma (AGR) on learning and memory for the Morris water maze task and on the central cholinergic system of the rats with excitotoxic medial septum (MS) lesion. On the water maze test, the rats were trained to find a platform that was in a fixed position during 6 days and then they received a 60 s probe trial in which the platform was removed from the pool on the 7th day. Ibotenic lesioning of the MS impaired the performance on the maze test and it caused degeneration of choline acetyltransferase and acetylcholine esterase in the hippocampus, which are markers of the central cholinergic system. Daily administrations of AGR (100 mg kg−1, i.p.) for 21 consecutive days produced reversals of the ibotenic acid-induced deficit in learning and memory. These treatments also reduced the loss of cholinergic immunoreactivity in the hippocampus that was induced by ibotenic acid. These results demonstrated that AGR ameliorated learning and memory deficits through their effects on the central nervous system, and neuroprotection was partly evaluated through the effect of AGR on the cholinergic system. Our studies suggest that AGR can possibly be used as treatment for Alzheimer's disease

Integration of amyloid-β oligomerization tendency as a plasma biomarker in Alzheimer's disease diagnosis

IntroductionThere has been significant development in blood-based biomarkers targeting amyloidopathy of Alzheimer's disease (AD). However, the guidelines for integrating such biomarkers into AD diagnosis are still inadequate. Multimer Detection System-Oligomeric Amyloid-β (MDS-OAβ) as a plasma biomarker detecting oligomerization tendency is available in the clinical practice.Main textWe suggest how to interpret the results of plasma biomarker for amyloidopathy using MDS-OAβ with neuropsychological test, brain magnetic resonance imaging (MRI), and amyloid PET for AD diagnosis. Combination of each test result differentiates various stages of AD, other neurodegenerative diseases, or cognitive impairment due to the causes other than neurodegeneration.DiscussionA systematic interpretation strategy could support accurate diagnosis and staging of AD. Moreover, comprehensive use of biomarkers that target amyloidopathy such as amyloid PET on brain amyloid plaque and MDS-OAβ on amyloid-β oligomerization tendency can complement to gain advanced insights on amyloid-β dynamics in AD

Easy Diagnosis of Asthma: Computer-Assisted, Symptom-Based Diagnosis

Diagnosis of asthma is often challenging in primary-care physicians due to lack of tools measuring airway obstruction and variability. Symptom-based diagnosis of asthma utilizing objective diagnostic parameters and appropriate software would be useful in clinical practice. A total of 302 adult patients with respiratory symptoms responded to a questionnaire regarding asthma symptoms and provoking factors. Questions were asked and recorded by physicians into a computer program. A definite diagnosis of asthma was made based on a positive response to methacholine bronchial provocation or bronchodilator response (BDR) testing. Multivariate logistic regression analysis was used to evaluate the significance of questionnaire responses in terms of discriminating asthmatics. Asthmatic patients showed higher total symptom scores than non-asthmatics (mean 5.93 vs. 4.93; p<0.01). Multivariate logistic regression analysis identified that response to questions concerning the following significantly discriminated asthmatics; wheezing with dyspnea, which is aggravated at night, and by exercise, cold air, and upper respiratory infection. Moreover, the presence of these symptoms was found to agree significantly with definite diagnosis of asthma (by kappa statistics). Receiver-operating characteristic curve analysis revealed that the diagnostic accuracy of symptom-based diagnosis was high with an area under the curve of 0.647±0.033. Using a computer-assisted symptom-based diagnosis program, it is possible to increase the accuracy of diagnosing asthma in general practice, when the facilities required to evaluate airway hyperresponsiveness or BDR are unavailable

Predictability of polygenic risk score for progression to dementia and its interaction with APOE ε4 in mild cognitive impairment

Background: The combinatorial effect of multiple genetic factors calculated as a polygenic risk score (PRS) has been studied to predict disease progression to Alzheimer's disease (AD) from mild cognitive impairment (MCI). Previous studies have investigated the performance of PRS in the prediction of disease progression to AD by including and excluding single nucleotide polymorphisms within the region surrounding the APOE gene. These studies may have missed the APOE genotype-specific predictability of PRS for disease progression to AD. Methods: We analyzed 732 MCI from the Alzheimer's Disease Neuroimaging Initiative cohort, including those who progressed to AD within 5 years post-baseline (n = 270) and remained stable as MCI (n = 462). The predictability of PRS including and excluding the APOE region (PRS+APOE and PRS-APOE) on the conversion to AD and its interaction with the APOE ε4 carrier status were assessed using Cox regression analyses. Results: PRS+APOE (hazard ratio [HR] 1.468, 95% CI 1.335-1.615) and PRS-APOE (HR 1.293, 95% CI 1.157-1.445) were both associated with a significantly increased risk of MCI progression to dementia. The interaction between PRS+APOE and APOE ε4 carrier status was significant with a P-value of 0.0378. The association of PRSs with the progression risk was stronger in APOE ε4 non-carriers (PRS+APOE: HR 1.710, 95% CI 1.244-2.351; PRS-APOE: HR 1.429, 95% CI 1.182-1.728) than in APOE ε4 carriers (PRS+APOE: HR 1.167, 95% CI 1.005-1.355; PRS-APOE: HR 1.172, 95% CI 1.020-1.346). Conclusions: PRS could predict the conversion of MCI to dementia with a stronger association in APOE ε4 non-carriers than APOE ε4 carriers. This indicates PRS as a potential genetic predictor particularly for MCI with no APOE ε4 alleles

Serial Assessment of Myocardial Properties Using Cyclic Variation of Integrated Backscatter in an Adriamycin-Induced Cardiomyopathy Rat Model

Although adriamycin (Doxorubicin) is one of the most effective and useful antineoplastic agents for the treatment of a variety of malignancies, its repeated administration can induce irreversible myocardial damage and resultant heart failure. Currently, no marker to detect early cardiac damage is available. The purpose of this study was to investigate whether an assessment of the acoustic properties of the myocardium could enable the earlier detection of myocardial damage after adriamycin chemotherapy. Forty Wistar rats were treated with adriamycin (2 mg/kg, i.v.) once a week for 2, 4, 6 or 8 weeks consecutively. Left ventricular ejection fraction (LVEF) was calculated using M-mode echocardiography data. The magnitude of cardiac cycle dependent variation of integrated backscatter (CVIB) of the myocardium was measured in the mid segment of the septum and in the posterior wall of the left ventricle, using a real time two dimensional integrated backscatter imaging system. LVEF was significantly lower in the adriamycin-treated 8-week group than in the controls (75 ± 9 vs 57 ± 8%, p < 0.05). Myocyte damage was only seen in the 8-week adriamycin-treated group. However, no significant changes of CVIB were observed between baseline or during follow-up in the ADR or control group. In conclusion, serial assessment of the acoustic properties of the myocardium may not be an optimal tool for the early detection of myocardial damage after doxorubicin chemotherapy in a rat model

Inhibitory Effects of Coptidis rhizoma and Berberine on Cocaine-induced Sensitization

Substantial evidence suggests that the behavioral and reinforcing effects of cocaine can be mediated by the central dopaminergic systems. Repeated injections of cocaine produce an increase in locomotor activity and the expression of tyrosine hydroxylase (TH) in the main dopaminergic areas. Protoberberine alkaloids affect neuronal functions. Coptidis rhizoma (CR) and its main compound, berberine (BER) reduced the dopamine content in the central nervous system. In order to investigate the effects of CR or BER on the repeated cocaine-induced neuronal and behavioral alterations, we examined the influence of CR or BER on the repeated cocaine-induced locomotor activity and the expression of TH in the brain by using immunohistochemistry. Male SD rats were given repeated injections of saline or cocaine hydrochloride (15 mg/kg, i.p. for 10 consecutive days) followed by one challenge injection on the 4th day after the last daily injection. Cocaine challenge (15 mg/kg, i.p) produced a larger increase in locomotor activity and expression of TH in the central dopaminergic areas. Pretreatment with CR (50, 100, 200 and 400 mg/kg, p.o.) and BER (200 mg/kg, p.o.) 30 min before the daily injections of cocaine significantly inhibited the cocaine-induced locomotor activity as well as TH expression in the central dopaminergic areas. Our data demonstrate that the inhibitory effects of CR and BER on the repeated cocaine-induced locomotor activity were closely associated with the reduction of dopamine biosynthesis and post-synaptic neuronal activity. These results suggest that CR and BER may be effective for inhibiting the behavioral effects of cocaine by possibly modulating the central dopaminergic system

Blood amyloid-β oligomerization associated with neurodegeneration of Alzheimers disease

Introduction Oligomeric amyloid-ß is a major toxic species associated with Alzheimers disease pathogenesis. Methods used to measure oligomeric amyloid-β in the blood have increased in number in recent years. The Multimer Detection System-Oligomeric Amyloid-β (MDS-OAβ) is a specific method to measure oligomerization tendencies in the blood. The objective of this study was to determine the association between amyloid-ß oligomerization in the plasma and structural changes of the brain. Methods We studied 162 subjects composed of 92 community-based normal healthy subjects, 17 with subjective cognitive decline, 14 with mild cognitive impairment and 39 with Alzheimers disease dementia. All subjects underwent MDS-OAβ and three-dimensional T1 magnetic resonance imaging. To determine the structural changes of the brain that are statistically correlated with MDS-OAβ level, we used voxel-based morphometry with corrections for age and total intracranial volume covariates. Results We found brain volume reduction in the bilateral temporal, amygdala, parahippocampal and lower parietal lobe and left cingulate and precuneus regions (family-wise error, p < 0.05). Reduction was also found in white matter in proximity to the left temporal and bilateral lower parietal lobes and posterior corpus callosum (family-wise error, p < 0.05). Brain volume increment was not observed in any regions within grey or white matter. Discussion Findings suggest that substantial correlation exists between amyloid ß oligomerization in the blood and brain volume reduction in the form of Alzheimers disease despite of uncertainty in the casual relationship.This work was supported by a grant of the Korea Healthcare Technology R&D Project, Ministry of Health & Welfare, Republic of Korea (HI14C1251)

Use of the Clock Drawing Test and the Rey–Osterrieth Complex Figure Test-copy with convolutional neural networks to predict cognitive impairment

Background The Clock Drawing Test (CDT) and Rey–Osterrieth Complex Figure Test (RCFT) are widely used as a part of neuropsychological test batteries to assess cognitive function. Our objective was to confirm the prediction accuracies of the RCFT-copy and CDT for cognitive impairment (CI) using convolutional neural network algorithms as a screening tool. Methods The CDT and RCFT-copy data were obtained from patients aged 60–80 years who had more than 6 years of education. In total, 747 CDT and 980 RCFT-copy figures were utilized. Convolutional neural network algorithms using TensorFlow (ver. 2.3.0) on the Colab cloud platform ( www.colab.research.google.com ) were used for preprocessing and modeling. We measured the prediction accuracy of each drawing test 10 times using this dataset with the following classes: normal cognition (NC) vs. mildly impaired cognition (MI), NC vs. severely impaired cognition (SI), and NC vs. CI (MI + SI). Results The accuracy of the CDT was better for differentiating MI (CDT, 78.04 ± 2.75; RCFT-copy, not being trained) and SI from NC (CDT, 91.45 ± 0.83; RCFT-copy, 90.27 ± 1.52); however, the RCFT-copy was better at predicting CI (CDT, 77.37 ± 1.77; RCFT, 83.52 ± 1.41). The accuracy for a 3-way classification (NC vs. MI vs. SI) was approximately 71% for both tests; no significant difference was found between them. Conclusions The two drawing tests showed good performance for predicting severe impairment of cognition; however, a drawing test alone is not enough to predict overall CI. There are some limitations to our study: the sample size was small, all the participants did not perform both the CDT and RCFT-copy, and only the copy condition of the RCFT was used. Algorithms involving memory performance and longitudinal changes are worth future exploration. These results may contribute to improved home-based healthcare delivery.The costs for manuscript publication, design of the study, data management, and writing of the manuscript were supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2017S1A6A3A01078538)