Location Of Center Research Articles

A study on the spatial and temporal distribution of habitation sites in the Amur River Basin and its relationship with geographical environments

<abstract> <p>I achieved the goal of collection and storage of 1944 habitation sites in the Amur River basin by creating the ARCGIS geo-spatial database. On this basis, by visualizing the distribution of the habitation sites in six archaeological periods and four geography plates, the spatial and temporal distribution information of these sites were interpreted quantitatively. Specifically, the quantitative indicators, such as nuclear density, location of gravity center, and cultural inheritance index, revealed the spatial distribution of the habitation sites. In addition, the elevation, slope, and distance value from the river were extracted through spatial analysis of ArcGIS, revealing the characteristics of the combination of sites and geographical conditions. The analysis of vegetation and temperature-climate conditions of the Amur River basin suggests the coupling relationship between ancient settlements and the natural environment: Arable land with an average annual temperature above 4 ℃ is the area with the highest concentration of large settlements, while other woodlands, grasslands and swamps with lower average annual temperatures are the main distribution areas of small nomadic sites.</p> </abstract>

A theoretical investigation on the OER and ORR activity of graphene-based TM-N3 and TM-N2X (X = B, C, O, P) single atom catalysts by density functional theory calculations.

Single-atom catalysts (SACs) have shown promising activity in electrocatalysis, such as CO2 reduction (CO2RR), the oxygen evolution reaction (OER) and the oxygen reduction reaction (ORR). Transition-metal-embedded N-doped graphene (M-N-C) with TM-N4 active sites (where TM represents a transition metal) is a representative SAC family that has attracted the most attention in both experimental and theoretical studies. However, TM-N3 type M-N-C has received less attention than TM-N4, although some experimental studies have reported its excellent activity in OER and CO2RR. To fully explore the electrocatalytic activity of TM-N3 type M-N-C, in this work we systematically investigate the OER and ORR activity of TM-N3 (TM = Ti, V, Cr, Mn, Fe, Co, Ni, Cu) and TM-N2X (X = B, C, O, P) using density functional theory (DFT) calculation. We examine the formation energies, OER/ORR free energy diagrams, overpotentials, charge density, d-band center and electronic structure of each candidate. Our computational screening shows that CuN3 is a promising bifunctional electrocatalyst for both OER and ORR with low overpotentials of 0.31 V (OER) and 0.44 V (ORR), while CrN3 and CuN2B are predicted to be promising OER catalysts, with overpotentials of 0.26 V and 0.50 V, respectively. A volcano plot derived from the scaling relationships suggests that substituting one nitrogen atom with a hetero atom significantly affects the potential-limiting step in OER/ORR, leading to worse activity in most cases. Density of states and d-band center analyses indicate that the change in OER/ORR activity is strongly correlated with the binding strength of *OH, which is dominated by the location of the d-band center. Our simulation results introduce a comprehensive insight into the activity of the TM-N3 site in TM-N-C, which could benefit the further development of graphene-based SACs for fuel cells and renewable energy applications.

Geospatial analysis of the territory for solving urban planning problems

The purpose of the study is to conduct a geospatial analysis of the territory, taking into account urban planning characteristics, for the location of a shopping center. The study characterizes the factors that turn cities into diverse and complex forms of settlements that are constantly changing. The process of urban settlement, which is reflected in their space, is analyzed. It is determined that spatial factors lead to differences in the scale and shape of cities, types of development and methods of spatial planning. The necessity of studying the spatial structure of cities, which has the characteristics of a relatively complete theoretical justification and wide coverage, is established. It is determined that the process of spatial development of cities is multidimensional and complex, which is manifested in spatial planning, transformation of many functions and expansion of the territory. The direction of research on the spatial analysis of the selected city territory is determined. Various characteristics of the site are considered, including views, transport links, access and other constraints that may affect the future development of each approach to the shopping center. A spatial analysis of the shopping center location was conducted. This analysis determines the transport accessibility of the shopping center, the accessible distance to residential development, service areas, etc. It also determines which parts of the territory are suitable for a particular type of use. The results are obtained regarding the location of the shopping center in the city. The estimated number of regular visitors to the projected shopping center is determined, provided that the level of its attractiveness is the same as that of its competitors. The increase in the level of attractiveness of the projected shopping center in comparison with competitors is calculated. Based on the results of the geospatial analysis, the stages of design and survey work were developed to draw up a large-scale topographic basis for the development area.

The effect of geometric location of semitrailer centre of gravity on stability

The effect of geometric location of semitrailer centre of gravity on stability

INTERIOR DESIGN IN A PRE-SCHOOL EDUCATIONAL INSTITUTION

The purpose of the article is to investigate the specifics of the influence of interior design on the personality of a preschool child. Preschool is a unique place where children spend most of their time. This is where training and recreation, development and personality formation take place. Children spend a significant amount of time in daycare, and the environment they are in can have a significant impact on their physical and intellectual development. A well-designed kindergarten can create a welcoming and nurturing atmosphere that can encourage learning, exploration and development.That's why it's important to create a cozy, comfortable, and most importantly, safe place. One of the main challenges is to highlight a safe and attractive interior that will not harm the personality of the preschool age and the environment. It was found that when creating the interiors of a preschool educational institution, a kindergarten, it is necessary to use exclusively high-quality and ecological materials for the child's environment to prevent various types of diseases, allergies, and for a comfortable and pleasant stay in this institution. Interior design in kindergartens is a very important component for ensuring the healthy and happy development of children. Parents look at many factors when choosing a daycare center, including safety, comfort, curriculum, and convenient location. And interior design also plays an important role in creating a favorable environment for a child's development. the interior design of preschool educational institutions plays an important role in creating a safe, functional, aesthetic and comfortable environment for children. By considering factors such as lighting, color, furniture and layout, preschools can create a positive, engaging and supportive space for young children to learn and grow, which can have a significant impact on a child's development and well-being.

考虑不同投资模式的城市群绿色物流中心选址模型

考虑不同投资模式的城市群绿色物流中心选址模型

EFFECTIVE STIFFNESS TENSOR OF COMPOSITE MATERIALS WITH INCLUSIONS OF RANDOM SIZE AND PERIODIC LOCATION OF THEIR CENTERS

In this study, we investigated the possibility of determining the stiffness tensor using theoretical methods. We utilized a periodicity cell, not a representative elementary volume, to solve the problem, in which the periodicity of the inclusion center locations was considered. Three options were employed to estimate the effective deformation properties of composite materials with periodic inclusion center location arrangements and random size values. In this paper, the applicability of the proposed probabilistic approach to determining the effective stiffness tensor on a periodicity cell is shown. This approach allows one to obtain not only the mean values (i.e., the effective stiffness tensor) but also three main central moments-from the second to the fourth order-characterizing the random nature of the effective stiffness tensor. The approach developed and employed in this study to estimate the effective deformation characteristics of composite materials with periodic inclusion center location arrangements, characterized by random radii values, could be practically extended to other physical and mechanical properties.

An effective object detection and tracking using automated image annotation with inception based faster R-CNN model

The present study advances object detection and tracking techniques by proposing a novel model combining Automated Image Annotation with Inception v2-based Faster RCNN (AIA-IFRCNN). The research methodology utilizes the DCF-CSRT model for image annotation, Faster RCNN for object detection, and the inception v2 model for feature extraction, followed by a softmax layer for image classification. The proposed AIA-IFRCNN model is evaluated on three benchmark datasets: Bird (Dataset 1), UCSDped2 (Dataset 2), and Under Water (Dataset 3), to determine prediction accuracy, annotation time, Center Location Error (CLE), and Overlap Rate (OR). The experimental results indicate that the AIA-IFRCNN model outperformed existing models regarding detection accuracy and tracking performance. Notably, it achieved a maximum detection accuracy of 95.62 % on Dataset 1, outperforming other models. Additionally, it achieved minimum average CLE values of 4.16, 5.78, and 3.54, and higher overlap rates of 0.92, 0.90, and 0.94 on the respective datasets (1, 2 and 3). Hence, this research work on object detection and tracking using the AIA-IFRCNN model is essential for improving system efficiency and fostering innovation in the field of computer vision and object tracking.

Aptenodytes forsteri optimization algorithm for low-carbon logistics network under demand uncertainty.

As China's "double carbon" goal continues to advance, logistics as a key area of carbon emissions and low-carbon logistics center site selection are key links in the process. However, existing studies on logistics center location often ignore the impact of demand uncertainty, which leads to a waste of resources in the planning and construction processes. We take logistics cost and carbon emission as the objectives, and the multi-objective site selection model established based on stochastic programming theory takes demand uncertainty as a stochastic constraint. We transform the stochastic constraint model into a 0-1 mixed integer multi-objective planning model by utilizing the idea of equivalence transformation. The Aptenodytes Forsteri Optimization (AFO) algorithm is combined with the Ideal Point Method to solve the model, and the algorithm is compared with the Particle Swarm Optimization (PSO), Differential Evolutionary (DE), Tabu Search (TS), Sparrow Search (SS) algorithms, and the exact solver Linear Interactive and General Optimizer (LINGO). The examples verify the validity of the models and algorithms, with an average reduction of 6.2% and 3.6% in logistics costs and carbon emissions in the case of demand determination, and at the confidence level of 0.9 under demand uncertainty, both logistics costs and carbon emissions are decreased to varying degrees. This study provides a new research idea for the low-carbon logistics location problem under demand uncertainty, which helps to promote the transformation of the logistics industry to low-carbon and high-efficiency.

The Effect of Scapular Orientation on Measures of Rotator Cuff Tendon Impingement: A Simulation Study

Mechanical impingement of the rotator cuff tendons against the acromion (subacromial) and glenoid (internal) during shoulder motions has long been thought to contribute to tears. Clinically, the risk for impingement is thought to be influenced by scapular movement impairments. Therefore, our purpose was to determine the extent to which simulated changes in scapular orientation impact the proximity between the rotator cuff tendon footprint and the acromion and glenoid during scapular plane abduction. Specifically, shoulder kinematics were tracked in 25 participants using a high-speed biplane videoradiography system. Scapular movement impairments were simulated by rotating each participant’s scapula from their in vivo orientation about the scapular axes (±2°, ±5°, and ±10°). Subacromial and internal proximities were described using minimum distances, proximity center locations, and prevalence of contact. Statistical parametric mapping was used to investigate the extent to which these measures were impacted by simulated changes in scapular orientation. Simulated changes in scapular orientation significantly altered proximity patterns in a complex manner that depended on the impingement mechanism, humerothoracic elevation angle, and magnitude of the simulated change. Clinicians should be mindful of these factors when interpreting the potential effects during a clinical examination.

Optimizing Emergency Logistics Centre Locations: A Multi-Objective Robust Model

Optimizing Emergency Logistics Centre Locations: A Multi-Objective Robust Model

A New Closure Assumption and Formulation Based on the Helmholtz Decomposition for Improving Retrievals for Vortex Circulations from Single-Doppler Radar Observations

Abstract Doppler weather radars are powerful tools for investigating the inner-core structure and intensity of tropical cyclones (TCs). The Doppler velocity can provide quantitative information on the vortex structure in the TCs. The generalized velocity track display (GVTD) technique has been used to retrieve the axisymmetric circulations and asymmetric tangential flows in the TCs from ground-based single-Doppler radar observations. GVTD can have limited applicability to asymmetric vortices due to the closure assumption of no asymmetric radial flows. The present study proposes a new closure formulation that includes asymmetric radial flows, based on the Helmholtz decomposition. Here it is assumed that the horizontal flow is predominantly rotational and expressed with a streamfunction, but limited inclusion of wavenumber-1 divergence is available. Unlike the original GVTD, the decomposition introduces consistency along the radius by solving all equations simultaneously. The new approach, named GVTD-X, is applied to analytical vortices and a real TC with asymmetric structures. This approach makes the retrieval of axisymmetric flow relatively insensitive to the contamination from asymmetric flows and to small errors in storm center location. For an analytical vortex with a wavenumber-2 asymmetry, the maximum relative error of the axisymmetric tangential wind retrieved by GVTD-X is less than 2% at the radius of the maximum wind speed. In practical applications, errors can be evaluated by comparing results for different maximum wavenumbers. When applied to a real TC, GVTD-X largely suppressed an artificial periodic fluctuation that occurs in GVTD from the aliasing of the neglected asymmetric radial flows. Significance Statement In tropical cyclone (TC) wind retrievals from single-Doppler weather radar observations, closure assumptions are required for the retrieval equations. The present study proposes a new closure allowing asymmetric radial winds and improving retrievals for TC winds in the previously developed technique. The relative error of the axisymmetric tangential wind in idealized vortices from the new approach is less than 2% at the radius of the maximum wind speed. In applying to a real TC with an elliptical eyewall, we found that the new approach can largely suppress an artificial evolution of the tangential winds in the previous retrieval technique.

МОДЕЛІ ВИБОРУ РОЗТАШУВАННЯ ЛОГІСТИЧНОГО ЦЕНТРУ

Abstract. Allocating a certain territory for transportation, logistics and distribution of goods involves spatial planning and infrastructure rationalization. The decisions regarding the geographical location of the logistics center itself and its structural elements are extremely important, because their impact on the indicators of its activity is long-term. And if mis-take is made during the construction of production or logistics facilities, and this or that facility is placed in an unfortu-nate place, then to correct the situation (moving to a new, better place), a large amount of material, financial, labor and other resources will be needed, which will lead to to the loss of customers, time, freezing of capital and, accordingly, a decrease in the competitiveness of enterprises, industries, countries, etc. The work summarizes the criteria for choosing the location of the logistics center and reviews practices for making decisions about its optimal location, substantiating proposals for choosing the best method. Making a decision about choosing the optimal location of a logistics center is a very difficult economic and mathemat-ical task, because decision-makers have to rationalize the combination of quantitative and qualitative factors, the mass of factors and the trade-offs between them on the basis of socio-economic, political and geographical criteria and the condi-tion of the motor transport infrastructure. When choosing the optimal location of the logistics center, it is proposed to apply the method of analytical hierarchy (AI), which includes procedures for synthesizing many statements, obtaining the priority of criteria and finding alternative solutions. Keywords: multi-criteria models, hierarchical structure, logistics center, routing, motor transport infrastructure.

GIS-integrated multi-criteria suitability anal¬ysis for healthcare facilities site selection in Rajouri district, Jammu and Kashmir, India

The study aims to develop a Decision Support model for the selection of a suitable site to establish a new healthcare center with adequate facilities based on the analytical hierarchy process (AHP) in the Rajouri district of Jammu and Kashmir. This study utilized AHP and GIS to identify an appropriate location for a new healthcare center. The study employed eight criteria to evaluate potential locations and utilized pairwise comparison to assign weights to each criterion. GIS-based spatial analysis was used to create factor and suitability maps for each criterion. Suitability was evaluated on a scale of 0 to 10 and each factor map was combined using the ArcGIS weighted overlay selection tool. The final map of the study represents the suitable site for a healthcare center in the Rajouri district and it shows the sites from the highly suitable to the least suitable area. In Rajouri district, mostly the central part can be considered very suitable as the population density of this area is higher compared to other areas of the district. The southwestern parts of the district are moderately suitable or least suitable sites for a new healthcare center. The study displays the pattern of the existing location of healthcare centers, mostly, the existing locations are not proper and suitable. Therefore, in the future, the allocation of healthcare centers must be in more adequate areas. Policymakers and healthcare professionals can be benefitted from this study in selecting suitable locations for future hospitals, which could ultimately improve access to healthcare services in the region. Additionally, the study can be contemplated in developing new policies for better transportation system in the study area.

Impacts of Marine Heatwave Events on Three Distinct Upwelling Systems and Their Implications for Marine Ecosystems in the Northwestern South China Sea

Under global warming, the frequency and intensity of marine heatwaves are increasing. However, the inhibition of atmospheric-forcing marine heatwaves (AMHW) on upwelling and their impacts on marine ecosystems remain poorly understood. To address this issue, the satellite sea surface temperature and reanalysis data during 1998–2021 were analyzed in three distinct upwelling systems, in the northwestern South China Sea. The results showed that the coastal tide-induced upwelling in the west (W) of Hainan Island is primarily suppressed by enhanced stratification during the AMHW events, since the coastal tide-induced upwelling is insensitive to wind weakening. Contrarily, the wind-driven upwelling in the east (E) and northeast (NE) of Hainan Island are jointly regulated by wind and stratification during the AMHW. Specifically, the AMHW events have a stronger inhibitory effect on the upwelling and phytoplankton growth in the NE than that in the E. The causes could be the following: (1) the background upwelling in the NE region is stronger than in the E; thus, the NE region has a higher susceptibility to the wind weakening; (2) the wind-driven upwelling begins to be suppressed by AMHW when the high-pressure system is aligned with the coastline of the upwelling. In the NE region, the location of the high-pressure center during the occurrence of AMHW is positioned in closer proximity to the upwelling area. Moreover, the inhibitory effect of wind weakening and stratification enhancing on upwelling changes with the development of the AMHW. Before and during the mature phase of AMHW, stratification and wind jointly inhibit upwelling and phytoplankton growth, while a shift to stratification-dominated (>85%) occurs during the decline phase. This study suggests that MHW has a great impact on the upwelling ecosystem, especially the wind-driven upwelling, which should be given high attention under global warming (with increasing MHW events in the future).

Integrated optimization of facility location, casualty allocation and medical staff planning for post-disaster emergency response

PurposeDisaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.Design/methodology/approachThis study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.FindingsUsing a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.Originality/valueThis study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

Analysis of the effect of rainfall center location on the flash flood process at the small basin scale

Abstract With the increasing frequency of extreme convective weather, the spatial–temporal variability of rainfall becomes more diversified. As a result of the insufficient quality of rainfall monitoring data in mountainous areas, the flash flood simulation usually does not consider the effect of the rainfall center location. In this work, the GPU Accelerated Surface Water Flow and Associated Transport hydrodynamic model is used to simulate the flash flood discharge process. The effect of the rainfall center location and the basin scale on the discharge process were analyzed based on simulated data. The results show that when the rainfall center is in the upstream and midstream basins, because of gravitational potential energy conversion, the total flood volume and the flood peak discharge increase to 2–10 times, and the peak time of flash flood caused by 100 mm rainfall amount can be advanced by up to 3,000 s compared to the 20 mm rainfall amount condition. The peak discharge and the delay of peak time increase with the increase of rain peak coefficient. In addition, the increase of the basin area enhances the effect of the rainfall center location. This work is helpful to quantify the effect of the rainfall center location, which can clarify the uncertainty of flash flood simulation caused by not considering the rainfall center factor.

Implementasi Algoritma Floyd Warshall pada Pencarian Lokasi Puskesmas di Kabupaten Karanganyar

One of the key public health service facilities is Public Health Center (Puskesmas). For new residents, it is very important to have information about the location of the puskesmas or hospital as well as information about the shortest path to the puskesmas or hospital. The size of the region and the volume of traffic present a challenge for people who are unfamiliar with the Karanganyar Regency's routes. The aim of this research is to enable the community to easily locate the health center and to provide access for numerous individuals who require assistance in locating the health center in Karanganyar Regency. Floyd-Warshall research methodology was used in this study to create this system while data collection from Karanganyar District Health Office is then required in this study. The results of this study are in the form of the closest route that is connected to Google Maps, which is information about the location of the health center in Karanganyar Regency which is beneficial for people outside Karanganyar Regency. This study's test findings, which used Floyd Warshall's results approach, further ensure its success in identifying the closest path. The test scenario and the available observations matched 91.6% of the 12 test components, according to the system functionality test. Based on the validity test, it has an average error in predicting the distance from the starting point to the search location of 98%.

Associations of inter-annual rainfall decreases with subsequent HIV outcomes for persons with HIV on antiretroviral therapy in Southern Africa: a collaborative analysis of cohort studies

BackgroundPeriods of droughts can lead to decreased food security, and altered behaviours, potentially affecting outcomes on antiretroviral therapy (ART) among persons with HIV (PWH). We investigated whether decreased rainfall is associated with adverse outcomes among PWH on ART in Southern Africa.MethodsData were combined from 11 clinical cohorts of PWH in Lesotho, Malawi, Mozambique, South Africa, Zambia, and Zimbabwe, participating in the International epidemiology Databases to Evaluate AIDS Southern Africa (IeDEA-SA) collaboration. Adult PWH who had started ART prior to 01/06/2016 and were in follow-up in the year prior to 01/06/2016 were included. Two-year rainfall from June 2014 to May 2016 at the location of each HIV centre was summed and ranked against historical 2-year rainfall amounts (1981–2016) to give an empirical relative percentile rainfall estimate. The IeDEA-SA and rainfall data were combined using each HIV centre’s latitude/longitude. In individual-level analyses, multivariable Cox or generalized estimating equation regression models (GEEs) assessed associations between decreased rainfall versus historical levels and four separate outcomes (mortality, CD4 counts < 200 cells/mm3, viral loads > 400 copies/mL, and > 12-month gaps in follow-up) in the two years following the rainfall period. GEEs were used to investigate the association between relative rainfall and monthly numbers of unique visitors per HIV centre.ResultsAmong 270,708 PWH across 386 HIV centres (67% female, median age 39 [IQR: 32–46]), lower rainfall than usual was associated with higher mortality (adjusted Hazard Ratio: 1.18 [95%CI: 1.07–1.32] per 10 percentile rainfall rank decrease) and unsuppressed viral loads (adjusted Odds Ratio: 1.05 [1.01–1.09]). Levels of rainfall were not strongly associated with CD4 counts < 200 cell/mm3 or > 12-month gaps in care. HIV centres in areas with less rainfall than usual had lower numbers of PWH visiting them (adjusted Rate Ratio: 0.80 [0.66–0.98] per 10 percentile rainfall rank decrease).ConclusionsDecreased rainfall could negatively impact on HIV treatment behaviours and outcomes. Further research is needed to explore the reasons for these effects. Interventions to mitigate the health impact of severe weather events are required.

Перспективы создания сети рыбоводных предприятий в российской Арктике

Fostering aquaculture aligns with key priorities for Arctic development in Russia, encompassing ecosystem sustainability, job creation, Northern import reduction, enhanced nutritional value of local products, support for small businesses, and advancement of high-tech industries. This study aims to determine the best configuration for a new network of Arctic fish farms in the Russian Arctic. To comprehend the potential of Arctic fish farming, the study starts from identifying feasible farm locations based on an analysis of demand in key Arctic settlements. Criteria-based assessments identified Pevek, Sabetta, Dudinka, Tiksi, Tazovsky, Yamburg, Kharasavey, and Khatanga as potential locations. A comparative economic analysis evaluates logistic options for networks featuring three to eight fish farms in conditions of limited infrastructure. The study determines the attending vessel location (Novosibirsk) and the genetic breeding center location (Pevek). Transportation schemes for feed, fry, and breeding material are developed in accordance with production process requirements. The study proposes the Arctic char as the focus of commercial cultivation at the simulated facility. Economic and mathematical modeling is employed to forecast the effects of creating networks in two configurations at the business, regional, and national levels. The findings reveal that a network of three facilities is more profitable for investors, while a network of eight facilities yields greater social significance with higher fiscal, social, and ecological effects. The quantitative estimates provided serve as a foundation for investment decisions in the development of fish farming in the Russian Arctic.