Risk and Predictability of Singapore’s Direct Residential Real Estate Market

This study explores the topic of the predictability of direct real estate prices in the short-run and the risks facing investors via a case study. Two models are estimated using heteroscedastic and autocorrelation robust ML method. Possible structural shifts of the models are examined. The one assuming that the model captures all the economic influences produces slightly better in-sample fitting. The other model assumes that there could be some important information which is not publicly available. Such information can nevertheless be extracted using Kalman filter. The latter has smaller forecast error in general. We found that a rational speculative bubble is an important predictor of short-run price movement, especially when the market is volatile and noisy. Rental is the only fundamental variable which has any important role to play in the short-run price generating process. Further more, the influence of rental is significant only when the market is inactive. Based on the study, we argue that the risk facing market participants comes not from the rational speculative bubble given its predictability, but primarily from unpredictable local policy shifts.Risk; information; rational bubble; Kalman filter

A Case Study on Optimization of Building Design Based on CFD Simulation Technology of Wind Environment

AbstractFor green buildings, the building technology needs to fit the climatic characteristics to adjust to the existing conditions and create a more livable environment. CFD is a combination of modern fluid dynamics, numerical mathematics and computer science. It is employed in green building design to offer the architect an important basis for optimizing the architectural design. The Paper takes a case study to show the research on application of CFD simulation technology of wind environment in optimizing architectural design, gives some ideas to architects in green building design optimization

Parents as Agents of Multilingual Education::Family Language Planning in China

As a linguistically heterogeneous nation, China has 290 languages and nearly 2000 distinct fangyans (dialects or subdialects) with Putonghua as the national language. These languages and language varieties are hierarchically ranked, based on their wider communicative and socioeconomic values. This paper reports on how Putonghua, fangyans, and English are perceived by a group of Chinese middle-class parents and how parents as agents of language policy provide affordances and constraints in facilitating or limiting their children’s language development in English, Putonghua and fangyans. The study involves eight Chinese city-dwelling families with children aged 5-11 years. By examining the children’s family language audits, observing their language/literacy practices, and engaging in conversation about parental language ideologies, the study aims to understand how public discourse about different languages or fangyans and their perceived values shape parental involvement in their children’s language development. The results of the study suggest that parents as agents of decision making have a strong influence on the changes of linguistic ecology in China in urban contexts

Research on the psychologically restorative effects of campus common spaces from the perspective of health

Contemporary college students are suffering from increasingly serious psychological health problems, such as attention fatigue, psychological stress and negative emotions. A growing body of evidence has revealed that restorative environment design is conducive to psychological health. As the main choice of venue for students’ daily activities, campus common spaces are supposed to be restorative to some extent. Given the above, the author studied 22 common spaces in the South China University of Technology (SCUT) Wushan Campus from the perspective of college students’ behavioral patterns based on theories pertaining to restorative environments, then constructed a structural equation model (SEM) analyzing the psychologically restorative effects exerted by the characteristics of campus common spaces upon college students through a scale design and questionnaire survey. With the analysis of 478 valid questionnaires, the research found that the characteristics of campus common spaces with psychologically restorative effects mainly comprise the architectural environment, landscape environment, rest facilities and activity facilities. Among them, the characteristics of activity facilities and the landscape environment have the greatest impact on psychologically restorative effects, accounting for 33 and 30% of the total effects, respectively; they are followed by those of the architectural environment, which accounts for 21% of the total effects; those of the rest facilities have the least impact, accounting for 16% of the total effects. The research also found that the characteristics of campus common spaces can both directly influence college students’ psychological recovery and produce psychologically restorative effects mediated by college students’ behavioral patterns. The mediation effect of college students’ behavioral patterns accounts for approximately 41% of the total effect of psychological restoration, in which the psychologically restorative effect of dynamic exercise behaviors is 2.5 times that of static leisure behaviors. The research reveals how the characteristics of campus common spaces promote the psychological restoration of college students, and it provides inspiration for healthy environment design in campus common spaces

Translanguaging in a Chinese-English bilingual education programme::a university-classroom ethnography

Since 2001, Chinese–English bilingual education has been officially promoted in many universities in mainland China. It has, however, recently been criticised for not only failing to improve students’ English proficiency, but also impeding subject knowledge learning. Drawing on ethnographic data collected through classroom observations, interviews and fieldwork notes, this study examines the practices of bilingual education in an undergraduate Business Management Programme in one university. The study reveals that translanguaging is a prominent phenomenon in almost all subject courses in the programme. The translanguaging practices can be largely grouped into four categories: bilingual label quest, simultaneous code-mixing, cross-language recapping, and dual-language substantiation. The study further identifies supportiveness and freedom of context as two major forces that spurred the practices of translanguaging in the programme. The study concludes by arguing that an ideological reorientation towards flexible bilingualism is emerging in such BE contexts, which might be a favourable move away from the monolingual stereotype manifested in the traditional teaching-English-as-a-foreign-language and content-subject courses that envision English-medium instruction. A translanguaging perspective might give the current practices of BE due recognition.</p

Knowledge-Based Reconstruction of mRNA Transcripts with Short Sequencing Reads for Transcriptome Research

While most transcriptome analyses in high-throughput clinical studies focus on gene level expression, the existence of alternative isoforms of gene transcripts is a major source of the diversity in the biological functionalities of the human genome. It is, therefore, essential to annotate isoforms of gene transcripts for genome-wide transcriptome studies. Recently developed mRNA sequencing technology presents an unprecedented opportunity to discover new forms of transcripts, and at the same time brings bioinformatic challenges due to its short read length and incomplete coverage for the transcripts. In this work, we proposed a computational approach to reconstruct new mRNA transcripts from short sequencing reads with reference information of known transcripts in existing databases. The prior knowledge helped to define exon boundaries and fill in the transcript regions not covered by sequencing data. This approach was demonstrated using a deep sequencing data set of human muscle tissue with transcript annotations in RefSeq as prior knowledge. We identified 2,973 junctions, 7,471 exons, and 7,571 transcripts not previously annotated in RefSeq. 73% of these new transcripts found supports from UCSC Known Genes, Ensembl or EST transcript annotations. In addition, the reconstructed transcripts were much longer than those from de novo approaches that assume no prior knowledge. These previously un-annotated transcripts can be integrated with known transcript annotations to improve both the design of microarrays and the follow-up analyses of isoform expression. The overall results demonstrated that incorporating transcript annotations from genomic databases significantly helps the reconstruction of novel transcripts from short sequencing reads for transcriptome research

Numerical Simulation and Field Survey on Indoor Thermal Comfort for Healthy Building: A Case study on Lingnan Residential Building

Due to COVID-19, people spend more and more time indoors. Healthy buildings, therefore, become more attractive to people than ever before. By summarizing specific requirements on relevant standards for healthy indoor thermal condition, this paper adopts numerical simulation and field survey to study indoor thermal comfort with a Lingnan residential building as a study case. After optimizing by building design strategy, the research results show that (1) The numerical simulation method can evaluate the indoor thermal environment, comparing the results from the field survey. (2) The study case did not meet the healthy indoor thermal environment requirements under natural ventilation. (3) By adding sunshades on windows, optimization measure is worked for healthy indoor thermal comfort. (4) Numerical simulation is used for predicting in advance. It helps the designers to solve practical problems.publishedVersio

Applications and limitations of Micro-XCT imaging in the studies of Permian radiolarians: a new genus with bi-polar main spines

Microfocus X-ray Computed Tomography (micro-XCT) has been employed recently in radiolarian studies, though so far primarily to generate high quality tomographic images. Although micro-XCT technique cannot always produce high-quality tomographic images, it frequently can provide valuable information on the internal structure of spongy polycystines. Here we employ micro-XCT to understand internal skeletal structures of several Permian specimens of polycystine radiolarians. Structural inferences from micro-XCT images are compared to images of the same specimens made with SEM and transmitted light microscopy (TLM). The utility of micro-XCT for imaging internal structures is first confirmed by examining the spongy, flat, four-spined species Tetraspongodiscus stauracanthus. Micro-XCT method is then used to examine the internal structures of a spherical to elliptical polycystine with two bi-polar main spines, Dalongicaepa bipolaris Xiao and Suzuki gen. et sp. nov., from the Dalong Formation (Changhsingian) of South China. The new genus is characterized by four to seven densely concentric shells with a large spherical hollow in the center and two cylindrical spines at both poles of the cortical shell, and belongs to the family Spongotortilispinidae. Spherical to elliptical polycystines with bi-polar main spines are similar in external appearance, and their phylogenetic relationships are only determinable by examination of the internal structures. We therefore analyzed all Permian and Mesozoic spherical to elliptical polycystines with bi-polar main spines showing internal structures, using cluster analysis to measure similarity. The results show distinctive differences in internal structures and suggest that family level relationships should be revised in the future

1,2-Di-tert-butyl­ethane-1,2-diyl bis­(tert-butane­sulfinamide)

In the title compound, C18H40N2O2S2, a vicinal diamine derivative, the crystal structure is stabilized by two intra­molecular N—H⋯O hydrogen bonds. The distance between the two kernel chiral C atoms is 1.580 (2) Å

Video Question Answering: Datasets, Algorithms and Challenges

Video Question Answering (VideoQA) aims to answer natural language questions according to the given videos. It has earned increasing attention with recent research trends in joint vision and language understanding. Yet, compared with ImageQA, VideoQA is largely underexplored and progresses slowly. Although different algorithms have continually been proposed and shown success on different VideoQA datasets, we find that there lacks a meaningful survey to categorize them, which seriously impedes its advancements. This paper thus provides a clear taxonomy and comprehensive analyses to VideoQA, focusing on the datasets, algorithms, and unique challenges. We then point out the research trend of studying beyond factoid QA to inference QA towards the cognition of video contents, Finally, we conclude some promising directions for future exploration.Comment: Accepted by EMNLP 202