Lagged meteorological impacts on COVID-19 incidence among high-risk counties in the United States—a spatiotemporal analysis

Background The associations between meteorological factors and coronavirus disease 2019 (COVID-19) have been discussed globally; however, because of short study periods, the lack of considering lagged effects, and different study areas, results from the literature were diverse and even contradictory. Objective The primary purpose of this study is to conduct more reliable research to evaluate the lagged meteorological impacts on COVID-19 incidence by considering a relatively long study period and diversified high-risk areas in the United States. Methods This study adopted the distributed lagged nonlinear model with a spatial function to analyze COVID-19 incidence predicted by multiple meteorological measures from March to October of 2020 across 203 high-risk counties in the United States. The estimated spatial function was further smoothed within the entire continental United States by the biharmonic spline interpolation. Results Our findings suggest that the maximum temperature, minimum relative humidity, and precipitation were the best meteorological predictors. Most significantly positive associations were found from 3 to 11 lagged days in lower levels of each selected meteorological factor. In particular, a significantly positive association appeared in minimum relative humidity higher than 88.36% at 5-day lag. The spatial analysis also shows excessive risks in the north-central United States. Significance The research findings can contribute to the implementation of early warning surveillance of COVID-19 by using weather forecasting for up to two weeks in high-risk counties.

Spatial function of light in staging of contemporary choreography

The principles of using light in choreographic performances are the basis of image perception integrity. The novelty of the study is determined by the fact that the illumination as a component of the performance can be based not only on the physical laws of light, but also on its imitation. To look into the matter of illumination, the authors consider it necessary to use a polygonal model, which can also form a spatial picture if necessary. The paper defines the general illumination model, which uses ray tracing technology and allows to determine the structure of lighting in the hall and to distribute the light to understand the director's intention among the entire visual sector. The practical significance of the study is determined by the structure of using lighting as part of staging choreography in the postmodern genre.

Regional assessment of human-caused ecological risk in the Poyang Lake Eco-economic Zone using production–living–ecology analysis

In this study, based on the regional land-use risk space division (regional ecological risk source/receptor space identification) using production–living–ecology analysis, three spatial function indexes, i.e., production, living, and ecology function indexes, were proposed for regional ecological risk assessment (RERA) with respect to human disturbance. The first two indexes can be regarded as regional ecological risk source indexes, whereas the final index can be regarded as a regional ecological risk receptor index. Using an artificial assignment method based on the land-use types and Defense Meteorological Program Operational Line-Scan System (DMSP/OLS) nighttime light intensity data, these three spatial function indexes were effectively manifested. By incorporating these indexes with eco-environmental vulnerability proxies, an RERA framework was established and applied in the Poyang Lake Eco-economic Zone (PLEZ), which is an ecological-protection and economic-development coordination-oriented region in China. The results suggest that (1) the DMSP/OLS nighttime light intensity data correlated well with the spatial distribution of regional urban/town areas; consequently, it was reasonable to use this dataset for representing regional production-living function space (urban/town area). (2) Overall, the forestlands and winter waterbodies of Poyang Lake were in the high-risk grade, and so did the Nanchang City construction land area; in contrast, the final risk levels of winter wetlands and croplands were relatively low. (3) Owing to the highest human disturbance (including both production and consumption human activities) and eco-environmental vulnerability level, urban/town areas such as Nanchang City had the highest final risk grade. (4) The low, medium, high, and very high-risk grades accounted for 21.22%, 39.53%, 36.31%, and 2.94% of the region, respectively. I believe that the proposed land use function indexes will be helpful in conducting human-caused RERA research in the future. Furthermore, the assessment results can provide a scientific basis for regional ecological risk management within the PLEZ.

Analisis Keterlanjuran Ruang Lingkungan Universitas Muhammdiyah Gorontalo

Reviewing spatial planning is a must in planning and regional development, besides that, it is also to obtain information related to the suitability of the use of space that has been used. Spatial planning assessment can be based on a tendency towards spatial use and based on land use and spatial function. Techniques and kali have been carried out using spatial analysis with the concept of geographic information systems that cannot be separated from the research parameters used. The method used is a mixed method that combines quantitative and qualitative methods. The quantitative method functions to produce numerical data so that it can be interpreted into a narrative, while qualitative methods are used to describe either numerical data, tables, pictures, or maps into useful narrative information based on the results of the research that has been done. The purpose of this study is to see the progress in the implementation of space suitability in the campus environment of the Muhammadiyah University of Gorontalo. The result of the research shows that the campus area can be classified based on the length of space, which includes the appropriate area in the built area of 1,81537 ha, the undeveloped area of 7,23050 ha and the unsuitable area is in the built area of 0.04513 ha. In addition to producing information related to space suitability, the research results also provide recommendations regarding the plan to use campus space as an alternative for future development.

The hippocampus, memory, and spatial function

The hippocampal system provides a beautiful example of how different classes of neuronal network in the brain work together as a system to implement episodic memory, the memory for particular recent events. The hippocampus contains spatial view neurons in primates including humans, which provide a representation of locations in viewed space. These representations can be combined with object and temporal representations to provide an episodic memory about what happened where and when. A key part of the system is the CA3 system with its recurrent collateral connections that provide a single attractor network for these associations to be learned. The computational generation of time, encoded by time cells in the hippocampus, is described, and this leads to a theory of hippocampal replay and reverse replay. The computational operation of a key part of the architecture, the recall of memories to the neocortex, is described.

Transformasi Spasial Hunian Pada Eks-Backpacker Enclaves Studi Kasus: Jalan Jaksa, Jakarta Pusat

This study aims to discover the extent of spatial transformation in residential areas on Jalan Jaksa, known as the ex-backpacker enclaves due to the concept of supply and demand. Spatial function, building facades, and corridors in residentials are the assessed variables. This study uses a qualitative method. Data collection is done by field observations, interviews, and literature review. The sampling method is using a non-random type or probability sample. The results of the analysis showed that from 26 samples there were 12 building/ residential samples (46.1%) that underwent installation, meaning that the building characteristics were adaptive, five buildings/ residential samples (19.2%) had insertion, meaning that the building was considered to be quite adaptive, and nine buildings/ residential samples (34 %) experiencing intervention, which means the building is not adaptive. In addition, the most changing category is the transformation in housing into multi-story buildings, lodging, and mixed-use buildings.