Effect of Topic-prominent Features of Mandarin Chinese on English Writing

Mandarin Chinese features a subject-verb-object word order and lacks grammatical agreement of any sort. It is basically a head-last language with the modifiers preceding the head word. Other prominent grammatical features include serial verb construction, resultative complement and the double nominative constructions. My paper focuses on the role of topic and subject in Mandarin, drawing on three views on Chinese syntactic structures, namely, SVO approach, topic-comment approach, and topic-prominence approach. A comparison is made among the different views and a conclusion is drawn that topic-prominent approach may better capture the complexities of Chinese syntax, which definitely contributes to English writing

Genetic Algorithms Applied to Multi-Class Clustering for Gene Expression Data

A hybrid GA (genetic algorithm)-based clustering (HGACLUS) schema, combining merits of the Simulated Annealing, was described for finding an optimal or near-optimal set of medoids. This schema maximized the clustering success by achieving internal cluster cohesion and external cluster isolation. The performance of HGACLUS and other methods was compared by using simulated data and open microarray gene-expression datasets. HGACLUS was generally found to be more accurate and robust than other methods discussed in this paper by the exact validation strategy and the explicit cluster number

Chronic Fatigue Stress and Sudden Death

Stress refers to a series of neuroendocrine reactions, such as sympathetic nerve excitation and pituitary-adrenal cortex secretion increase, which occur when the body is stimulated by various stressors, and the changes of various functions and metabolism caused by these reactions. Chronic fatigue stress is a fatigue state caused by long-term physical and psychological stress. When the stress reaches a certain intensity or the individual is not well-tolerated, the body stability is impaired, resulting in various pathophysiological reactions leading to various diseases, such as stress hyperglycemia, stress cardiomyopathy, stress arrhythmia, stress ulcer hemorrhagic shock, or even stress ulcer hemorrhagic shock. Eventually lead to sudden death and other adverse events

The Trapping and Characterization of a Single Hydrogen Molecule in a Continuously Tunable Nanocavity

Using inelastic electron tunneling spectroscopy with the scanning tunneling microscope (STM-IETS) and density functional theory calculations (DFT), we investigated properties of a single H2 molecule trapped in nanocavities with controlled shape and separation between the STM tip and the Au (110) surface. The STM tip not only serves for the purpose of characterization, but also is directly involved in modification of chemical environment of molecule. The bond length of H2 expands in the atop cavity, with a tendency of dissociation when the gap closes, whereas it remains unchanged in the trough cavity. The availability of two substantially different cavities in the same setup allows understanding of H2 adsorption on noble metal surfaces and sets a path for manipulating a single chemical bond by design.Comment: 11 pages, 4 figure

Forecasting tourism demand with an improved mixed data sampling model

Search query data reflect users’ intentions, preferences and interests. The interest in using such data to forecast tourism demand has increased in recent years. The mixed data sampling (MIDAS) method is often used in such forecasting, but is not effective when moving average (MA) dynamics are involved. To investigate the relevance of the MA components in MIDAS models to tourism demand forecasting, an improved MIDAS model that integrates MIDAS and the seasonal autoregressive integrated moving average process is proposed. Its performance is tested by forecasting monthly tourist arrivals in Hong Kong from mainland China with daily composite indices constructed from a large number of search queries using the generalised dynamic factor model. The forecasting results suggest that this new model significantly outperforms the benchmark model. In addition, comparing the forecasts and nowcasts shows that the latter generally outperform the former