Space Area Research Articles

Risk factors for postoperative ileus after corrective spinal surgery: association with reduction in the retrocrural space area.

The objective of this study was to determine whether a reduction in the retrocrural space (RCS) area is a risk factor for postoperative ileus (POI) in patients with adult spinal deformity (ASD) treated with spinal corrective surgery. In total, 100 patients (mean age 67.5 ± 8.3 years, 9 males and 91 females) with ASD treated with spinal corrective surgery were included in this study. Spinal parameters, including thoracolumbar kyphosis (TLK), and RCS area were measured pre- and postoperatively. The change (Δ) in spinal parameters was calculated. The percent change between pre- and postoperative RCS areas was calculated as ΔRCS. Patients were identified as having POI if they exhibited both gastrointestinal symptoms and radiographic findings. Each parameter was compared between patients with and without POI. Multivariable logistic regression analysis was performed with development of POI as the dependent variable. The incidence of POI was 11.0%. The RCS area was significantly smaller in the POI group than in the non-POI group (p < 0.001). Multivariable logistic regression analysis revealed that ΔTLK and ΔRCS were risk factors for POI (p = 0.029 and p = 0.033, respectively). A reduction in the RCS area is a risk factor for the development of POI after corrective spinal surgery in patients with ASD. Overcorrection of the thoracolumbar junction should be avoided to prevent POI.

Analysis of group evaporation characteristics of droplet clusters in an evaporating spray

Droplet clustering in sprays refers to the dynamic evolution of highly concentrated regions due to the preferential accumulation of the polydisperse droplets in the turbulent airflow entrained by the spray. In the current study, we aim to experimentally investigate the collective vaporization of the droplets in droplet clusters in an air-assisted acetone spray characterized by the Group number, $G$ . The magnitude of $G$ depends on the cluster length scale and interdroplet spacing, and it indicates the vaporization mode that may vary from the isolated mode ( $G \ll 1$ ) to external group mode ( $G \gg 1$ ). The droplet measurements were obtained under atmospheric conditions at different axial and radial locations within the spray. Application of the Voronoi analysis to particle image velocimetry images of the spray droplets facilitated the identification and characterization of the droplet clusters, which allowed the measurement of $G$ for each cluster. The results highlighted that multiscale clustering of the evaporating droplets leads to multimode group evaporation of the clusters (characterized by a wide range of $G$ : 0.001–10). The trend of interdroplet spacing versus cluster area allowed the classification of the droplet clusters into small-scale clusters (which are of the order of the Kolmogorov length scale) and large-scale clusters (that scale with the large-scale turbulent eddies), that are found to exhibit distinct group evaporation behaviour. A theoretical model is invoked to correlate $G$ with the droplet evaporation rate for individual clusters, and some interesting observations are identified, which are explained in the paper.

Mapping perceived sentiments in university campuses with varied landscape metrics and climatic conditions

A sustainable university campus should accommodate students to experience positive emotions, which can be evoked by sustainable landscape with green and blue spaces (GBS). This effect is location-dependent because local vegetative type is climate-determinative, but evidence is not sufficient for sentiments of people experiencing campus landscapes. Forty-seven university campuses were selected along a latitudinal gradient in mainland China, and 100 subjects were chosen per campus (50 indoor and 50 outdoor). Photos of the subjects’ faces on Sina Weibo were collected. Facial expressions were assigned happy, sad, and neutral scores (n = 4,334). The average temperature (AveT) and blue space area (BlueA) showed negative relationships with latitude, thereby generating neutral emotion scores for subjects at indoor and outdoor locations. The ratio of green space area to host campus was the only landscape metric that depressed the presentation of happiness and enhanced sadness levels. Large water bodies should be built on campuses to induce calmness, and a high ratio of green spaces should be avoided. Mapping results show that campuses in eastern regions (Beijing and Liaoning) tend to elicit positive sentiments more frequently.

The Potential of Dehydrated Geniotrigona thoracica Stingless Bee Honey against Metabolic Syndrome in Rats Induced by a High-Carbohydrate, High-Fat Diet

Background/Objectives: Metabolic syndrome (MS) is diagnosed when at least three out of five key risk factors are present: obesity, high blood pressure, insulin resistance, high triglycerides (TG) and low high-density lipoprotein (HDL). MS is often associated with chronic low-grade inflammation. Recent studies have shown that raw stingless bee honey (SBH) can alleviate MS risk factors. However, the high moisture content in raw SBH predisposes it to fermentation, which can degrade its quality. Therefore, dehydrating SBH is necessary to prevent the fermentation process. This study aimed to compare the effects of dehydrated (DeGT) and raw (RGT) SBH from Geniotrigona thoracica species on high-carbohydrate, high-fat diet (HCHF)-induced MS in rats. Methods: Twenty-four male Wistar rats were divided into four groups: control (C), HCHF-induced MS without treatment (MS), HCHF-induced MS treated with DeGT (MS+DeGT) and HCHF-induced MS treated with RGT (MS+RGT). Group C received standard rat chow, while the other groups were fed with HCHF diet for 16 weeks. In the final eight weeks, two HCHF-induced groups received their respective SBH treatments. Results: Both DeGT and RGT treatments reduced energy intake, fat mass, high blood pressure, inflammatory (tumour necrosis factor-alpha (TNF-α)) and obesity (the leptin/adiponectin (L/A) ratio, corticosterone, 11 beta-hydroxysteroid dehydrogenase type-1 (11βHSD1)) markers, as well as prevented histomorphometry changes (prevented adipocyte hypertrophy, increased the Bowman’s space area and glomerular atrophy). Additionally, DeGT increased serum HDL levels, while RGT reduced serum TG, leptin and other inflammatory markers (interleukin-6 (IL-6) and interleukin-1 beta (IL-1β)), as well as hepatosteatosis. Conclusions: While DeGT demonstrates potential as a preventive agent for MS, RGT exhibited more pronounced anti-MS effects in this study.

Desain Taman Atap pada Gedung SMP Pesat Bogor Berdasarkan Preferensi Pengguna

The increasing rate of urbanization on limited urban land has resulted in reduced Green Open Space (RTH) in urban areas. Therefore, the design of a roof garden on a school building can be a solution to increase the area of ​​green open space and a place for outdoor learning activities. This study aims to analyze the potential and constraints on the site so that a roof garden design can be developed according to user preferences. The stages of work refer to Booth (1983) which consist of project acceptance, research/analysis, concepts, and construction drawings. The design concept applied is inspired by the organically formed Falco peregrinus. The results of this study are in the form of a roof garden site plan as well as detailed pictures of the facilities used in the roof garden of building 3 SMP-SMA-SMK Informatika Pesat. The results of the study are expected to create a roof garden on a school building that can function as green open space and a refreshing area as well as a teaching and learning area.

Analysis of the Spatial Constraints of Urban Underpass Channels Based on BIM

The construction of urban underpasses faces various spatial constraints, which will lead to deformation or failure of the structures if not satisfied. The introduction of BIM (Building Information Modeling) and other modern information technology to achieve rapid and accurate spatial constraint analysis of the design scheme is of great significance to ensure the quality and safety of the underpass and adjacent structures. Firstly, through extensive literature collection and survey, the key spatial constraint indicators of underpasses in dense urban spaces and the evaluation rules of each indicator are determined. Then, an SQL (Structured Query Language)-based database of spatial constraint rules for underpasses in dense urban space areas is constructed, and the spatial constraint analysis process for underpasses in dense urban space areas is proposed. Finally, based on Building Information Modeling, programming support, and a development environment provided by C# and Visual Studio, a spatial constraint analysis system for underpasses in dense urban space areas is developed to realize complex spatial constraint analysis functions. The application practice of the system is carried out by taking a city underpass project as an example. The results show that in the design of urban underpass engineering, the spatial constraint analysis system designed in this paper and the calculation method adopted can simplify the model transmission process, save on labor costs, and reduce the error of the calculation results.

A 3D X-tree optimized for Complex Indoor Building Models

Abstract. Studying complex indoor buildings is crucial for population evacuation research in our modern world, where indoor spaces are the primary living environment. However, the existing spatial indexes do not fully align with the unique characteristics of indoor space, leading to a significant bottleneck in the efficiency of searching many space areas. This article introduces a novel model that can efficiently retrieve and update compact three-dimensional indoor space by introducing space X-trees. Our experiments, which have shown that the introduction of X-trees, which can dynamically adjust the size of space nodes, has significantly improved the retrieval speed during the query operation process, underscore the reliability and potential of our new model.

1,2‐Diaza‐1,3‐Dienes as a Multifaceted Synthons for the Synthesis of Heterocycles: A Fifteen‐Years Update

AbstractThe discovery of structurally unique scaffolds entities with increased complexity and balanced physicochemical properties has the potential to allow synthetic chemists to exploit areas of chemical space that were previously inaccessible. Among the different strategies employed for generating N‐heterocycles, cyclization and cycloaddition reactions represent a valuable synthetic tool. The purpose of this minireview is to summarize the recent advances (2009‐present) from our laboratory on the generation of intriguing five‐, six‐ and seven‐membered mono‐ or poly‐heterocyclic architectures (linear, fused and spiro) employing 1,2‐diaza‐1,3‐dienes (DDs) as key synthons.

How To Tame a Toxic Player? A Systematic Literature Review on Intervention Systems for Toxic Behaviors in Online Video Games

Toxic behavior is known to cause harm in online games. Players regularly experience negative, hateful, or inappropriate behavior. Interventions, such as banning players or chat message filtering, can help combat toxicity but are not widely available or even comprehensively studied regarding their approaches and evaluations. We conducted a systematic literature review that provides insights into the current state of interventions literature, outlining their strengths and shortcomings. We identified 36 interventions and qualitatively analyzed their approaches. We describe the types of toxicity being addressed, the entities through which they act, the methods used by intervention systems, and how they are evaluated. Our results provide guidance for future interventions, outlining a design space based on known systems. Furthermore, our findings highlight gaps in the literature, e.g., a sparsity of empirical evaluations, and underexplored areas in the design space, enabling researchers to explore novel directions for future interventions.

How to interpret Jiangnan gardens: a study of the spatial layout of Jiangnan gardens from the perspective of fractal geometry

This study contributes to design studies by offering a novel approach to understanding the spatial layout of Jiangnan gardens through the lens of fractal geometry. Analyzing 106 gardens, we found that the ideal fractal dimension range for Jiangnan gardens is 1.148 ~ 1.276, with gardens in the 2500 ~ 7200 m2 range exhibiting the highest complexity (1.238 ~ 1.276). Additionally, for gardens ranging from 2500 ~ 20,000 m2, the maximum spacious space area stabilizes, no longer expanding indefinitely with overall area. This suggests a design principle of spatial proportion and balance. By quantifying spatial complexity and the contrast between spacious and profund spaces, the study provides a new method for evaluating garden design and can help students and designers better apply the principles of Jiangnan garden design.

Flammulated Owls Exhibit Diel Variation in Space Use

ABSTRACT A home range determines the resources animals can access, and the size of a home range often reflects resource availability and energetic requirements of individuals. The Flammulated Owl (Psiloscops flammeolus) is a cryptic small forest owl that breeds in mixed conifer forests in western North America. The home ranges of individuals generally comprise open forests with large trees, but we have yet to fully understand temporal variation in this species’ use of space and the habitat structures that drive space use at a fine scale. During the 2017 summer breeding season (May–July), we tracked the movement of six territorial males with GPS tags to estimate temporal variation in space use and examined resource selection for fine-scale habitat characteristics within home ranges. Results suggest that individual movement was more constrained around nests early at night, but the area of space used was consistent between the incubation and nestling stages. The owls’ activity centers near their nests had denser ground cover than available habitat, indicating that the forest understory may be valuable for this species’ breeding ecology. As forested landcover rapidly changes in western North America, understanding the spatial behavior and fine scale habitat associations of this species and others is increasingly important.

MXene-montmorillonite nanocomposites-based scaffold sensors for early pancreatic cancer diagnosis

Pancreatic cancer is increasingly prevalent and characterized by a high mortality rate. Due to the limitations of current diagnostic methods, early-stage detection remains elusive, contributing to persistently low survival rates among affected individuals. Nanomaterials have garnered significant attention in cancer research for their potential diagnostic applications. Among these, MXenes &amp;ndash; a novel family of two-dimensional nanomaterials composed of transition metal carbides, nitrides, and carbonitrides &amp;ndash; are of particular interest due to their unique properties. These include high electrical conductivity, hydrophilicity, thermal stability, large interlayer spacing, tunable structure, and high surface area. These characteristics make MXenes highly effective for detecting trace amounts of various analytes. In addition, their tunable structure enables precise manipulation of their properties, allowing for optimized sensing responses. Montmorillonite nanoclay (MMT), a member of the smectite group of natural clay minerals, is known for its ability to promote bone development and influence cell behavior. When combined with MXenes, MMT forms promising nanocomposites for early pancreatic cancer detection through sensing applications. The Ti3C2 MXene-MMT nanocomposites exhibit potential as scaffold sensors capable of distinguishing cancerous from non-cancerous samples by observing the distinctive patterns in resistance changes. In addition, MXenes possess excellent selectivity, allowing for the reliable identification of targeted analytes from a complex mixture of chemical and biological analytes. Due to the advanced sensing capabilities of MXene-MMT composite scaffold sensors, they hold great promise for early cancer diagnosis and tissue regeneration, providing a novel therapeutic approach to improving patient outcomes.

Acoustic and Kinematic Predictors of Intelligibility and Articulatory Precision in Parkinson's Disease.

This study investigated relationships within and between perceptual, acoustic, and kinematic measures in speakers with and without dysarthria due to Parkinson's disease (PD) across different clarity conditions. Additionally, the study assessed the predictive capabilities of selected acoustic and kinematic measures for intelligibility and articulatory precision ratings. Forty participants, comprising 22 with PD and 18 controls, read three phrases aloud using conversational, less clear, and more clear speaking conditions. Acoustic measures and their theoretical kinematic parallel measures (i.e., acoustic and kinematic distance and vowel space area [VSA]; second formant frequency [F2] slope and kinematic speed) were obtained from the diphthong /aɪ/ and selected vowels in the sentences. A total of 368 listeners from crowdsourcing provided ratings for intelligibility and articulatory precision. The research questions were examined using correlations and linear mixed-effects models. Intelligibility and articulatory precision ratings were highly correlated across all speakers. Acoustic and kinematic distance, as well as F2 slope and kinematic speed, showed moderately positive correlations. In contrast, acoustic and kinematic VSA exhibited no correlation. Among all measures, acoustic VSA and kinematic distance were robust predictors of both intelligibility and articulatory precision ratings, but they were stronger predictors of articulatory precision. The findings highlight the importance of measurement selection when examining cross-domain relationships. Additionally, they support the use of behavioral modifications aimed at eliciting larger articulatory gestures to improve intelligibility in individuals with dysarthria due to PD. https://doi.org/10.23641/asha.27011281.

Decision tree insights analytics (DTIA) tool: an analytic framework to identify insights from large data records across fields of science

Abstract Supervised machine learning (SML) techniques have been developed since the 1960s. Most of their applications were oriented towards developing models capable of predicting numerical values or categorical output based on a set of input variables (input features). Recently, SML models’ interpretability and explainability were extensively studied to have confidence in the models’ decisions. In this work, we propose a new deployment method named Decision Tree Insights Analytics (DTIA) that shifts the purpose of using decision tree classification from having a model capable of differentiating the different categorical outputs based on the input features to systematically finding the associations between inputs and outputs. DTIA can reveal interesting areas in the feature space, leading to the development of research questions and the discovery of new associations that might have been overlooked earlier. We applied the method to three case studies: (1) nuclear reactor accident propagation, (2) single-cell RNA sequencing of Niemann-Pick disease type C1 in mice, and (3) bulk RNA sequencing for breast cancer staging in humans. The developed method provided insights into the first two. On the other hand, it showed some of the method’s limitations in the third case study. Finally, we presented how the DTIA’s insights are more agreeable with the abstract information gain calculations and provide more in-depth information that can help derive more profound physical meaning compared to the random forest’s feature importance attribute and K-means clustering for feature ranking.

Developmental Aspects of Greek Vowel Reduction in Different Prosodic Positions

This study investigates the development of Greek vowel reduction across different prosodic positions (stressed, pre-stressed, post-stressed), examining normative data from 72 participants aged 3 years to adulthood and balanced for gender. Participants performed a delayed repetition task, producing real trisyllabic words with the vowels [i, ε, ɐ, o, u] examined in the second syllable. Measurements included relative vowel duration, normalized acoustic vowel space areas, and Euclidean distances of vowels from the centroid of the acoustic space. Our findings show that changes in speech motor control, system stiffness, and stress marking with age, along with children’s prosody sensitivity, contributed to several developmental milestones: the completion of the developmental trajectory of relative vowel duration and temporal vowel reduction at early adolescence; the attainment of adult-like spatial vowel characteristics and their reduction at preschool age; and the early acquisition of the prosodic strength of the stress conditions, leading to vowel reduction from the stressed to pre-stressed to post-stressed conditions. The correlation strength between temporal and spatial vowel reduction across ages revealed age-related differences in spatiotemporal speech organization, with significant gender-related differences observed only in vowel space areas, where females exhibited larger areas possibly related to sociophonetic factors. Intrinsic vowel duration appeared from age 3.

8291 Graves’ Disease and Moyamoya Syndrome: A Complex Case of Thyroid Dysfunction and Neurovascular Abnormalities

Abstract Disclosure: A. Jamil: None. Q.V. Luong: None. A. Llorens Bonilla: None. A. Siddiqui: None. Background: Moyamoya disease is a cerebrovascular disease characterized by progressive stenosis and occlusion of cerebral arteries, particularly the internal carotid arteries, proximal anterior and middle cerebral arteries associated with a net-like collateral vessel formation. Moyamoya disease in association with certain systemic conditions (e.g. Graves’ disease, sickle cell anemia, neurofibromatosis type 1, and Down Syndrome) has been referred to as moyamoya syndrome. Graves’ disease is an autoimmune disease in which the development of thyroid-stimulating hormone (TSH) receptor autoantibodies leads to overproduction of thyroid hormones. Although the pathophysiology is unclear, Graves’ disease can adversely impact the clinical course of moyamoya syndrome.Clinical Case: A 26-year-old woman diagnosed with Graves’ disease at the age of 20 years who was in remission presented to the ED with right upper extremity weakness and headache. A stroke work-up was performed, and an initial CT head without contrast showed an acute infarct in the left temporal area. Extensive workup for hypercoagulability and cardiac causes were negative. MRI brain showed multiple infarcts of the left cerebral hemisphere with ivy sign, which are prominent linear or punctate high intensity areas in the subarachnoid space reflecting the development of collaterals that occurs in moyamoya disease. TSH at the time was noted to be &amp;lt;0.01 uIU/mL (range: 0.30-4.20 uIU/mL), indicating a thyrotoxic state. She was discharged on methimazole and antiplatelet therapies. However, the patient continued to have hypertension and headaches which did not resolve with the return to euthyroidism. At age 29, she again developed acute right upper and lower extremity weakness, and consequently presented to the ED. Imaging studies showed multiple punctate infarcts in her bilateral frontal lobes and bilateral ICA stenosis consistent with moyamoya disease. However, her biochemical studies showed euthyroidism. Ultimately, she underwent right frontotemporal craniotomy and direct parietal superficial temporal artery to middle cerebral artery bypass by neurosurgery to decrease her future stroke risk for her moyamoya syndrome, and her Graves’ disease remains in remission.Conclusions: The coexistence of Graves’ disease in moyamoya syndrome may suggest a pathophysiologic connection. It has been suggested that hemodynamic changes in cerebrovascular flow due to thyrotoxicosis might contribute to ischemic neurologic deficits. Surgical intervention for revascularization procedures should be attempted after optimal control of thyrotoxicosis, as this may help to prevent further ischemic events in the future and improve patient outcomes. Presentation: 6/1/2024

Energy landscape and flow dynamics measurements of driven-dissipative systems

Many experimental techniques aim at determining the energy landscape of a system given and compare it to a model Hamiltonian. This landscape governs the system's evolution in the absence of dissipation. Here, we theoretically propose and experimentally demonstrate a method to measure the energy landscape of a system without knowing its functional form. A crucial ingredient for our method is the presence of dissipation, which enables sampling of the landscape over a large area of phase space through ringdown-type measurements, overcoming the main limitation of previous techniques. We apply the method to a driven-dissipative system–a parametric oscillator–observed in a rotating frame. We first measure the phase-space flow dynamics of the system via ringdown measurements, unveiling its attractors and separatrices. With these measurements, we reconstruct the (quasi-)energy landscape of the system. Furthermore, we demonstrate that our method provides direct experimental access to the so-called symplectic norm of the stationary states of the system, which is tied to the particle- or holelike nature of excitations of these states. In this way, we establish a method to identify qualitative differences between the fluctuations around stabilized minima and maxima of the nonlinear out-of-equilibrium stationary states. Our method constitutes a versatile approach to characterize a wide class of driven-dissipative systems. Published by the American Physical Society 2024

Exploring urban and agricultural land use planning

Socio-economic development has accelerated urban expansion, leading to the encroachment of urban space into agricultural space land and seriously undermining the stability of ecosystems. Scientifically optimizing the layout of urban-agricultural space can guarantee China's food security, promote urban development and maintain ecological stability. In this study, we focused on the rapidly growing city of Nankang. We used land, ecological and geographic location data to calculate land suitability, predicted future urban space through the GeoSOS-FLUS model, and finally optimized the agricultural-urban space conflict. The results show that: the areas of farmland with quality evaluation results for grades 1-4 were 7783.13 hm2, 9411.01 hm2, 8738.99 hm2 and 3032.73 hm2, and the areas suitable for construction, more suitable for construction, unsuitable for construction and prohibited from construction accounted for 12.19%, 16.23%, 41.34% and 30.24%, respectively. Combining the FLUS model with the land suitability evaluation results, we found that there is a conflict area of 1841.96 hm2 in the delineation scheme. Adjusting their layout according to the principle of conflict coordination, the optimized area of agricultural-urban space is 28429.34 hm2 and 8968.23 hm2 respectively, accounting for 16.32% and 5.15% of the study area. The result of spatial contradiction optimization satisfies the balance between production and residential space, promotes urban development, protects ecological security, and can provide scientific reference for regional urban ecological environment construction.

Sacred sites provide urban green spaces that maintain bird diversity in the megacity of Tokyo, Japan

Green spaces in cities are thought to play an important role in maintaining urban biodiversity. However, it is difficult to create large new areas of green space in big cities. Therefore, existing green spaces need to be conserved and properly managed to conserve urban biodiversity. In big Japanese cities, sacred sites such as shrines, temples, and historic parks are some of the common types of green space. In addition to their role as religious spaces, they may also play an important role in urban biodiversity conservation because of their function as long-term reserves of natural vegetation. In this study, we examined the function of shrines, temples, and historic parks in Bunkyo ward, Tokyo, in maintaining bird diversity by comparing them with urban parks. In addition, a vegetation survey was conducted to identify environmental factors that affect bird diversity, and differences in the bird species observed in each type of green space are discussed. The heterogeneity of bird species composition between study sites was higher among shrines and temples than among urban parks.Forest bird abundance was higher during the breeding season and bird species richness was higher in winter at shrines and temples and historic parks than in urban parks. Bird diversity was positively affected by the abundance of shrubs and evergreen trees. We found that sacred sites were more important than urban parks for maintaining bird diversity. The results also suggested that differences in vegetation structure are a cause of this pattern, and small green spaces in the grounds of sacred sites are managed in a way that is more suitable for maintaining bird diversity.However, shrines and temples, despite their strong historical and cultural value, are threatened by recent urbanization. It is necessary to maintain and properly manage these green spaces as part of urban ecosystems.

Building sustainable mitigation through adaptive green open space on tanjung mas sub district

Abstract Mitigation is a step to reduce the risk of disasters in a particular area. Tanjung Mas sub-district is an area that has a high potential for land subsidence and tidal flooding because it is located on the North Coast of Java. Temporary evacuation points are urgently needed to protect residents from the dangers of tidal floods and distribute logistics from volunteers. Based on community preferences, the Green Open Space in Tambak Lorok are used as an evacuation point for flood disasters. The green open space, which was initially used for sustainable water absorption, was converted into an evacuation point as a flood disaster mitigation measure. This research aims to measure the suitability of green open space as a temporary evacuation site. The research method used is a Space Syntax approach and qualitative description analysis. Based on the results of the analysis, almost all the requirements for evacuation places by the green open space location. It is easily accessible because it is on the primary residential route, easily accessible by vehicles, and has building structures higher than the road. However, the area of green open space still needs to be increased for the minimum standard capacity per person. Apart from that, the infrastructure to support evacuation, such as electricity, communication equipment, or rubber boats, needs to be improved. The construction of green open space as a temporary evacuation site needs to be adjusted to minimum standards and the needs of the population. It is also hoped that the development of green open space will be the responsibility of not only the government but also cooperation between stakeholders. Green open space isn’t just for environment impacts, but can also increase the community resilience.