Space Area Research Articles

The enhanced-view totally extraperitoneal repair of abdominal bulge after DIEP flap breast reconstruction for breast cancer: a case report

BackgroundThe deep inferior epigastric perforator (DIEP) flap for autologous breast reconstruction is associated with higher patient satisfaction and fewer abdominal morbidities at the donor site than the transverse rectus abdominis myocutaneous flap. However, abdominal bulging occurs at a certain frequency, and there is no established treatment. Here, we present a case of laparoscopic hernia repair using the enhanced-view totally extraperitoneal (eTEP) method in a patient with a lower abdominal bulge after DIEP flap reconstruction.Case presentation.A 53-year-old woman underwent left nipple-sparing mastectomy, left axillary lymph node dissection, and breast reconstruction with a DIEP flap for left breast cancer 3 years previously. We performed an eTEP method for an abdominal bulge. The absence of a hernia sac facilitated dissection of the retrorectal space, and a left-sided transversus abdominis release was performed, followed by mesh placement. No postoperative abdominal bulging was observed.ConclusionsUsing the eTEP method for repairing an abdominal bulge after DIEP flap reconstruction is advantageous because it facilitates a relatively straightforward dissection of a wide area of the retrorectal space without a hernia sac.

Israel as India’s Pivot in the IMEC

India’s policy on the Middle East has broadly been bilateral and in the process, it had to strike a fine balance in furthering relations with countries that are rivals. Its “Look West” policy, introduced in 2005, made some inroads in the Middle East, enlarging its economic and strategic footprints. In recent years, it has stepped up its engagements through minilateral and multilateral frameworks by joining India, Israel, the United States, and the United Arab Emirates (UAE) (I2U2) grouping and jointly launching the India-Middle East-Europe Economic Corridor (IMEC). The I2U2 was launched in 2020 for expansive economic cooperation in vital areas of water, energy, transportation, space, health, and food security. It was catalyzed in the backdrop of the Abraham Accords. In September 2023, during the G20 summit in New Delhi, seven countries, namely, India, Saudi Arabia, the UAE, France, Germany, Italy, the United States, and the European Union (EU), signed a Memorandum of Understanding for the IMEC. The October 7, 2023 attack on Israel and its attendant consequences have threatened to derail this multilateral cooperation, but India and other signatories have remained steadfast in their commitment to IMEC, raising hope for its future.

Leadership in the Third Space

In higher education, the third space can be defined as a place where blended professional and academic roles and skills overlap to achieve common goals which primarily focus on student outcomes. This liminal space can be challenging to lead in as third space areas are typically complex, with a great need for problem-solving and resourcefulness. Career pathways for third space leaders do not follow a straightforward or linear trajectory and fit-for-purpose training and education opportunities for these roles are scarce. Examples of third space environments are educational design, learning design, learning technology and quality assurance. This paper explores common leadership traits and super-powers (key strengths or unique skills), which could contribute to a model for effective leadership in the third space.

Analysis of the Influencing Mechanism of Space-time Heterogeneity of Greenhouse Gas Emissions from Agriculture in China

Agricultural greenhouse gas emission reduction plays an important role in addressing global climate warming. Researching and revealing the spatial and temporal characteristics, as well as the influencing mechanisms of agricultural greenhouse gas emissions, is of great significance for achieving the goals of green and low-carbon development in agriculture. This study examines the agricultural greenhouse gas emissions from 31 provinces （municipalities, autonomous regions） in China from 2000 to 2020. Through the use of geographic detectors, spatial econometric analysis, and other methods, it explores the spatiotemporal evolution characteristics and driving factors of agricultural greenhouse gas emissions. The results indicated the following： ① From 2000 to 2020, agricultural greenhouse gas emissions in China showed a development process of "slow increase - sharp increase - sharp decrease." ② The spatial heterogeneity of agricultural greenhouse gas emissions was significant, forming three high emission areas in space： the central high emission area centered on Henan, the southern high emission area centered on Guangdong, and the southwestern high emission area centered on Sichuan. The center of gravity showed a trend of shifting northward and westward. ③ Rural population, regional gross domestic product, and agricultural output value were the dominant driving factors causing spatial heterogeneity of agricultural greenhouse gas emissions. ④ Agricultural greenhouse gas emissions had spatial spillover effects. When formulating agricultural greenhouse gas reduction targets, it is necessary to adopt a coordinated control strategy among different regions.

Investigation of impact of community environment factors on the residents’ visiting rate to outdoor venues in South China

Understanding the activity patterns of urban residents is crucial for urban community design and urban energy forecasting. Predicting the visitation rates of different types of locations is a important issue because urban residents can only be in one place at a time. Achieving accurate predictions of outdoor public space visitation rates is equivalent to predicting the upper limit of the number of visitors to other buildings. Previous similar studies usually rely on survey methods such as questionnaires and GPS positioning. These methods have some drawbacks, such as small sample sizes and inaccurate data. In this paper, we used mobile signaling to investigate the park visit rates of residents in different communities in Guangzhou. In accordance with Chinese tradition, we define a community as a residential community, which consists of multiple residential units and a set of basic service facilities and management structures that are sufficient to meet the daily needs of residents. We found that the park visit rate of a community is closely related to the characteristics of the community itself. The park visit rate is positively correlated with the average LST (land surface temperature) of the communities, the average distance between the community and the large park, and the building coverage rate, while it is negatively correlated with the vegetation coverage rate, the average surface reflection rate, the convenience of transportation, and the per capita green space area. Given the different travel habits of urban residents on weekdays and weekends, we also used multiple linear regression to establish prediction models for community park visitation rates on weekdays and weekends.

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.

Fluid flow in three-dimensional porous systems shows power law scaling with Minkowski functionals

Integral geometry uses four geometric invariants—the Minkowski functionals—to characterize certain subsets of three-dimensional (3D) space. The question was, how is the fluid flow in a 3D porous system related to these invariants? In this work, we systematically study the dependency of permeability on the geometrical characteristics of two categories of 3D porous systems generated: (i) stochastic and (ii) deterministic. For the stochastic systems, we investigated both normal and lognormal size distribution of grains. For the deterministic porous systems, we checked for a cubic arrangement and a hexagonal arrangement of grains of equal size. Our studies reveal that for any three-dimensional porous system, ordered or disordered, permeability k follows a unique scaling relation with the Minkowski functionals: (a) volume of the pore space, (b) integral mean curvature, (c) Euler characteristic, and (d) critical cross-sectional area of the pore space. The cubic and the hexagonal symmetrical systems formed the upper and lower bounds of the scaling relations, respectively. The disordered systems lay between these bounds. Moreover, we propose a combinatoric F that weaves together the four Minkowski functionals and follows a power-law scaling with permeability. The scaling exponent is independent of particle size and distribution and has a universal value of 0.428 for 3D porous systems built of spherical grains.

The Effectiveness of Green Open Spaces in Absorbing Carbon Dioxide Emissions in the Area of PT. Pelabuhan Indonesia (Persero) Regional 3 Subregional Jawa

Introduction: Green spaces serve as various ecological purposes, most notably the removal of pollutants. Although PT. Pelabuhan Indonesia (Persero) Regional 3 Subregional Jawa was estimated to have quite significant carbon dioxide (CO2) emissions, the company had provided green open space in multiple locations. Calculating the effectiveness of green open spaces in absorbing CO2 emissions in the area of Pelindo Subregional Jawa was the aim of this study. Methods: The primary data used was observation, and secondary data were gathered through document and literature studies. The dependent variable was the calculation of carbon dioxide emissions, while the independent variable was the effectiveness of green open spaces (land cover types and green open spaces area). The IPCC 2006 equations were used for data analysis. Results and Discussion: The estimated carbon dioxide emissions at Pelindo Subregional Jawa came from the following sources: 1,945.51 tons from electricity consumption; 1,845.97 tons from ships; 1,102.30 tons from operational, employee, and passenger vehicles; and 4.49 tons from genset usage. That amounted to 4,898.27 tons per year overall. Based on the calculation, it was found that the green open space could absorb 4,434.94 tons of CO2 per hectare annually. Conclusion: The existing green open spaces in the area of Pelindo Subregional Jawa were not enough to absorb CO2 emissions, as CO2 emissions still left a residual of 463.33 tons/year.

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.

A Review of Identifying and Analyzing Black Holes using Machine Learning

A black hole is an area in space with immense gravity that nothing (not even light) can escape from it. They are formed usually when a star dies. These black holes can be found by the detectors in space. They detect the gravitational waves by the ripples’ effect. The isolated black holes that are invisible can be found using a method called gravitational lensing. Various black holes have been found using these methods. These black holes do not emit any light. This makes it difficult for scientists to observe the black holes directly. The effects of black holes on the nearby matter and light were observed by the scientists to detect a black hole. In this paper, a comprehensive review is presented about the techniques that can be used to detect and analyze black holes using machine learning. Information regarding the technique along with the conditions has been summarized in the paper. Other issues regarding the technology limitations, research challenges, and future trends are also discussed.

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.

Analisis Karakteristik Fisik Lahan Kawasan Perumahan di Dusun Jering VI, Desa Sidorejo, Kecamatan Godean, Kabupaten Sleman

Land characteristics include land factors that can be measured or estimated in size such as slope, rainfall, soil texture, available water and so on. The study was conducted at a housing location in Jering VI Hamlet, Sidorejo Village, Godean District, Sleman Regency which is located on Mount Wungkal. The condition of Mount Wungkal before being used as housing had dense vegetation, but with the large-scale opening of housing land, there were changes that occurred on Mount Wungkal. The opening of the land caused several impacts on the environment so it is important to know the physical characteristics of the land in the area. Thus, the purpose of this study was to determine the physical characteristics of the land in the research area. The method used is the survey and mapping method in data collection and descriptive analysis. The results of the study obtained are the physical characteristics of the land of the Godean Jogja Hills housing area, there are several criteria that are appropriate and inappropriate. The criteria that are not appropriate are slope gradient, area of green open space, drainage infrastructure capacity, not located in a disaster-prone area (landslides, floods, erosion, and abrasion), not located in an agricultural/buffer cultivation area, distance to educational facilities, health facilities and trade and commerce facilities and the appropriate criteria are the area for building houses, water availability, not located in the border area of rivers/coasts/reservoirs/lakes/springs/irrigation channels/railways and safe flight areas, not located in protected areas, avoiding technical irrigation rice fields, wastewater disposal systems and garbage disposal systems

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

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. 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. 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. While DeGT demonstrates potential as a preventive agent for MS, RGT exhibited more pronounced anti-MS effects in this study.

Is compensation a myth? Modelling the use of public and private urban green spaces in relation to the geographical context

The compensation hypothesis postulates that the absence of green spaces in residential areas leads to a greater use of public green spaces and nature in general. This paper tests this hypothesis by focusing on the use of public and private urban green spaces. A holistic approach is adopted that considers the complexity of residential context and the use of urban, peripheral and private green spaces. A survey was conducted in two medium-sized French cities (Dijon and Besançon) to identify how their green spaces were used and perceived. The residential context was described through multiple spatial and environmental metrics (physical and visual access to nature, noise level, private green space area) that were GIS-referenced to postal addresses. On the basis of that data, the compensation hypothesis was explored using a PLS path model. The results show the absence of compensatory behaviour when considering just the overall relationships between the use of different types of green spaces. However, conditional compensatory behaviours can be detected when allowance is made for other variables (physical and visual accessibility to nature, type of housing, dwelling floor area, noise level). These results remain dependent on the geographical context of the city, with a higher compensation effect where natural areas are less accessible.

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.

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.

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.

Assessing momentary stress responses to dynamic real-time greenspace exposure: Unveiling algorithmic uncertainty and the temporality of exposure context

Mental stress issues are emerging among residents of modern cities. Among environmental factors associated with stress mitigation, greenspace has consistently been shown to have significant stress-reducing properties. However, the temporality of greenspace exposure, particularly the cumulative threshold effect in urban environments, has been largely neglected in past studies. In addition, different algorithms and their related measurements of greenspace have led to inconsistent mental health outcomes. To address both gaps, we evaluated the dynamic greenspace exposure of 221 Hong Kong residents by integrating three distinct green space measurements: the Normalized Difference Vegetation Index (NDVI), the Green Space Area Ratio (GSAR), and the Eye-level Green View Index (GVI) based on individual real-time GPS data. We subsequently gauged individual momentary stress levels via Ecological Momentary Assessment (EMA) and modeled its association with dynamic green space exposure using mixed ordinal logistic regression across diverse cumulative time frames. The results reveal great disparities in greenspace-stress association between different greenspace measurements and different cumulative time frames: (1) Among the three measurements, GVI is the most robust and effective measurement in assessing the stress-reducing effect in urban environments. (2) Within specific time frames, cumulative exposure has a more pronounced stress-reducing influence than momentary exposure. (3) The stress-reducing effects of cumulative eye-level greenspace exposure exhibit two temporal phases: A continuous exposure spanning 12–36 min leads to a progressive enhancement in the stress-mitigating effect of eye-level greenspace, peaking initially and then diminishing after 36 min. Upon extended exposure reaching 2.3 h, the stress-alleviating impact of eye-level green space peaks once again before gradually waning. Our research underscores the need for multiple measurements of environmental exposure to address the algorithmic uncertainty in environmental health research and deeper insights into the temporality of the greenspace-mental relationship.