Hugus 哈格斯

Hugus is a pair of fluffy dolls designed for two parties who need to spend extended time periods separated by distance. Each of the parties owns one of the dolls. To connect the Hugus, all the parties have to do is to link up their smartphones with the Hugus App via Bluetooth, and set up a reunion date with a pairing code... 哈格斯是一對兩隻的毛毛玩偶，專為長期分隔異地的人而設計。二人雙方各擁一隻哈格斯玩偶，以智能手機透過藍芽接入哈格斯應用程式，再以配對碼設定相聚的日期，就能連結彼此的哈格斯... Award: Merit奬項: 優異

Improving the Energy Efficiency of Petrochemical Plant Operations: A Measurement and Verification Case Study Using a Balanced Wave Optimizer

The Chinese petrochemical industry is facing pressure to meet strict targets of energy consumption and carbon emission reductions. Water pumps are the primary equipment used in most chemical and agrochemical industries sectors since water is commonly used for cooling and heating purposes, but these pumps also consume a large amount of energy. Other uses of water pumps in these industries include producing steam for heating, preparing reaction media or absorptive reagents, rinsing products, and distilling. As for the electrical components of the water pump systems, current technologies of variable frequency drives and superconducting transmission lines are unable to increase the energy efficiency of these systems with a fixed load. However, the Balanced Wave Technology (BWT) is offered as a solution to overcome these limitations. In this report, a case study using a BWT optimizer is conducted on a closed loop water circulation system. Two BWTs are added to the individual motor-controlled section of each pump that is being used on the switchboard. For the first time, a detailed example was provided on how to implement option B of the International Performance Measurement and Verification Protocol (IPMVP) in China by evaluating the performance of BWT as an energy conservation measure. The evaluated periods included those of the baseline, post-installation, and actual performance of the optimizers. An average saving of energy of about 10.46% is recorded in a 5-week reporting period. On this basis, that annual electricity saved is estimated to be 66,447.18 kWh, which is equivalent to the emission of 68.94 metric tons of CO2e. This case study demonstrates in detail how option B of IPMVP can be implemented for BWTs applied on pumping systems. In addition to petrochemical production plants, other industries like textile and clothing sections, which are heavy users of water and electrical energy with fixed loads in the production processes of raw materials, fiber, yarn, and fabric, as well as textile-dyeing and final treatment, could benefit from applying this new technology

Exploring AI-Generated Text in Student Writing: How Does AI Help?

English as foreign language_EFL_students' use of text generated from artificial intelligence_AI_natural language generation_NLG_tools may improve their writing quality. However, it remains unclear to what extent AI-generated text in these students' writing might lead to higher-quality writing. We explored 23 Hong Kong secondary school students' attempts to write stories comprising their own words and AI-generated text. Human experts scored the stories for dimensions of content, language and organization. We analyzed the basic organization and structure and syntactic complexity of the stories' AI-generated text and performed multiple linear regression and cluster analyses. The results show the number of human words and the number of AI-generated words contribute significantly to scores. Besides, students can be grouped into competent and less competent writers who use more AI-generated text or less AI-generated text compared to their peers. Comparisons of clusters reveal some benefit of AI-generated text in improving the quality of both high-scoring students' and low-scoring students' writing. The findings can inform pedagogical strategies to use AI-generated text for EFL students' writing and to address digital divides. This study contributes designs of NLG tools and writing activities to implement AI-generated text in schools.Comment: 43 pages, 10 figures, 3 table

Delayed diagnosis of 22q11.2 deletion syndrome in an adult Chinese lady

We report a 32 year-old Chinese lady with history of tetralogy of Fallot, presented to us with chest pain due to hypocalcemia secondary to hypoparathyroidism. With her dysmorphic facial features and intellectual disability 22q11.2 deletion was suspected and confirmed by genetic study. Clinicians should consider the diagnosis of DiGeorge syndrome in adult patient with past medical history of congenital heart disease, facial dysmorphism, intellectual disability and primary hypoparathyroidism.published_or_final_versio

The Conditional CAPM, Cross-Section Returns and Stochastic Volatility

Bansal and Yaron (2004) demonstrate, by calibration, that the Consumption-Based Capital Asset Pricing Model (CCAPM) can be rescued by assuming that consumption growth rate follows a stochastic volatility model. They show that the conditional equity premium is a linear function of conditional consumption and market return volatilities, which can be estimated handily by various Generalized Autoregressive Conditonal Heterskedasticity (GARCH) and Stochastic Volatility (SV) models.We find that conditional consumption and market volatilities are capable of explaining cross-sectional return differences. The Exponential GARCH (EGARCH) volatility can explain up to 55% variation of return and the EGARCH model augmented with (cay) ̂ -a cointegrating factor of consumption, labor income and asset wealth growth- greatly enhance model performance. We proceed to test another hypothesis: if Bansal and Yaron estimator is an unbiased estimator of true conditional equity premium, then the instrumental variables for estimating conditional equity premium should no longer be significant.We demonstrate that once the theoretical conditional risk premium is added to the model, it renders all instrumental variables redundant. Also, the model prediction is consistent with observed declining equity premium

A R&D Based Real Business Cycle Model

The New Keynesian Real Business Cycle model with staggered price adjustment is augmented with a R&D producing sector. Two sources of economic shocks are considered, namely random paritcipation (perturbances to value of alternative investment opportunities in another sector) and financial intermediation (shocks to the cost of raising capital in the financial intermediation market). We find that, when comparing to the baseline model, both models can explain pro-cyclical R&D spending. Additionally, the investment oversensitivity problem is corrected. However, only the financial intermediation model is consistent with the observed finding that volatility of R&D is larger than that of investment and output

Psychometric properties of the Chinese version of the fatigue scale-adolescent

© 2015 Ho et al. Background: The availability of a valid and reliable instrument that accurately assesses the level of fatigue among adolescent cancer survivors is crucial before any appropriate interventions to reduce their fatigue can be appropriately planned and evaluated. The study aimed to test the psychometric properties of the Chinese version of the Fatigue Scale for Adolescents. In particular, confirmatory factor analysis was conducted to examine its factorial structure. Methods: A cross-sectional study was employed. Adolescents (13- to 18-year-olds) who had survived cancer and attended medical follow-up at the outpatient clinic in Hong Kong were invited to participate. The internal consistency, content validity and construct validity and test-retest reliability of the Chinese version of the Fatigue Scale for Adolescents were assessed. Results: The content validity index was 0.92. There was a strong positive correlation between adolescents' levels of fatigue and depressive symptoms (r=0.53) and a strong negative correlation between adolescents' levels of fatigue and quality of life (r=-0.58). The mean levels of fatigue of the survivors group was significantly lower than that of those still receiving treatment in hospital, but significantly higher than that of their healthy counterparts. Confirmatory factor analysis indicated that there were 4 factors underlying the Chinese version of the Cancer Module. Conclusions: The findings of the study add further evidence that the Chinese version of the Fatigue Scale for Adolescents (12-item) can be used as a reliable and valid tool in assessing cancer-related fatigue among Hong Kong Chinese adolescents who have survived cancer.published_or_final_versio

A targeted gene panel that covers coding, non-coding and short tandem repeat regions improves the diagnosis of patients with neurodegenerative diseases

Genetic testing for neurodegenerative diseases (NDs) is highly challenging because of genetic heterogeneity and overlapping manifestations. Targeted-gene panels (TGPs), coupled with next-generation sequencing (NGS), can facilitate the profiling of a large repertoire of ND-related genes. Due to the technical limitations inherent in NGS and TGPs, short tandem repeat (STR) variations are often ignored. However, STR expansions are known to cause such NDs as Huntington\u27s disease and spinocerebellar ataxias type 3 (SCA3). Here, we studied the clinical utility of a custom-made TGP that targets 199 NDs and 311 ND-associated genes on 118 undiagnosed patients. At least one known or likely pathogenic variation was found in 54 patients; 27 patients demonstrated clinical profiles that matched the variants; and 16 patients whose original diagnosis were refined. A high concordance of variant calling were observed when comparing the results from TGP and whole-exome sequencing of four patients. Our in-house STR detection algorithm has reached a specificity of 0.88 and a sensitivity of 0.82 in our SCA3 cohort. This study also uncovered a trove of novel and recurrent variants that may enrich the repertoire of ND-related genetic markers. We propose that a combined comprehensive TGPs-bioinformatics pipeline can improve the clinical diagnosis of NDs

An Examination of Sports Event Sentiment: Microeconomic Evidence from Borsa Istanbul

This paper examines the impact of international soccer matches on the Turkish stock market using firm level and sorted portfolio data, i.e. microeconomic evidence. Applying the Edmans et al. (2007) estimation method, we find a significant negative loss effect. However, once using panel data analysis and modeling spatial and temporal effects explicitly, we not only reject the null hypothesis of the sports sentiment effect, but also find that the international soccer games virtually have no power explaining stock return variation. The same conclusions are made when replacing win/loss dummies with unexpected win (loss) variable and sorting portfolio returns by market capitalization, past returns and volatility. Although we found mild evidence that sports events could affect the variance of sorted portfolio returns, there is very limited micro-evidence to support the 'overreaction' hypothesis of individual investors using Borsa Istanbul data