Evaluation Of Suitability Research Articles

Grey relation analysis and multiple criteria decision analysis method model for suitability evaluation of underground space development

Underground space is an important asset for urban development, but its development comes with inherent risks. Therefore, in order to evaluate the risk of underground space development, we utilized 3D modeling and grey relational analysis (GRA) for decision-making, and evaluated underground space development through attribute modeling. First, the underground space was categorized into 4 layers according to depth and 15 important influencing factors were identified. Then, the weights of these factors (soft soil thickness, liquefaction index of saturated sand, etc.) were determined using analytic hierarchy process (AHP), criteria importance through intercriteria correlation (CRITIC), and GRA. Finally, the study area was divided into 1,197,778 evaluation units, each measuring 30 m × 30 m. The suitability of each unit was evaluated using the Multiple Criteria Decision Analysis (MCDA) combined with the GRA method. The experimental results show a commendable performance compared to the combined “AHP + multilevel exponential superposition” approach. In addition, the computing efficiency is reduced by about 30%, the stability is improved by at least 20%, and the reliability is improved by about 10%. The study enhances the decision-making integration of GRA, MCDA and underground space, improves the efficiency and accuracy of underground space risk evaluation, and provides a valuable basis for the field related to underground space development. Code is available at https://github.com/NX-first/underground-space-engineering-development.git.

Application of Variable Weight Theory in the Suitability Evaluation of Regional Shallow Geothermal Energy Development

Application of Variable Weight Theory in the Suitability Evaluation of Regional Shallow Geothermal Energy Development

Research on technical suitability analysis and scheme selection of prefabricated buildings in China

PurposeChina is a large country with different regions due to regional differences and project characteristics, and the selection of prefabricated building technology according to local conditions is the key to its sustainable development in China. The purpose of this paper is to develop the suitability evaluation system of prefabricated building technology from the perspective of the suitability concept and to analyze the selection path of prefabricated building technology and to provide a reference for selecting and developing prefabricated building technology schemes that meet regional endowments.Design/methodology/approachBased on relevant literature, technical specifications, and standards, this paper constructs an index system for analyzing the technical suitability of prefabricated buildings. It includes 23 indicators, 7 dimensions, and 3 aspects through the semantic clustering method. Following this, the comprehensive weight of each index is determined using the order relation method (G1) and the continuous ordered weighted averaging (COWA). The selection of technical schemes is comprehensively evaluated using Visekriterjumska Optimizacija Ikompromisno Resenje (VIKOR) and Fuzzy Comprehensive Evaluation Method.Findings (1) The technical suitability of prefabricated buildings is influenced by 7 core factors, such as adaptability of resources and environment, project planning and design level, and economic benefit; (2) When selecting the appropriate technology for prefabricated buildings, economic suitability should be considered first, followed by regional suitability, and then technical characteristic; (3) The prefabricated building technology suitability evaluation model constructed in this paper has high feasibility in the technical suitability selection of the example project.Research limitations/implicationsThe comprehensive evaluation model of prefabricated building technology suitability constructed in this paper provides technical selection support for the promotion and development of prefabricated buildings in different regions. In addition, the model can also be widely used in areas related to prefabricated building consulting and decision-making, and provides theoretical support for subsequent research.Practical implicationsThis study provides a new decision support tool for prefabricated building technology suitability selection, which helps decision makers to make more rational technology choices.Social implicationsThis study has a positive impact on the advancement of prefabricated building technology, the improvement of construction industry standards, and the promotion of sustainable development.Originality/valueThe contribution of this study is twofold: (1) Theoretically, this paper provides technical evaluation indicators and guidelines for provincial and regional governments to cultivate model cities, plan industrial bases, etc. (2) In practice, it offers project-level appropriate technology system solutions for the technology application of assemblers in various regions.

Is Virtual Reality an Effective Experimental Tool for Window View Studies with Dynamic Content Involved?

ABSTRACT Dynamic content is a desirable quality in window views. However, most researchers have focused on static window scenes, which are inconsistent with real-world window views. The scarcity of studies involving dynamic view content is exacerbated by the lack of suitable evaluation tools, which this study aims to address. A novel method of displaying dynamic content in the virtual scene was presented. A two-stage experiment with forty-eight subjects was designed to compare subjective responses to a dynamic window scene in physical and virtual environments. Virtual reality’s effectiveness was assessed based on the consistency of their responses regarding level of satisfaction with the window view in both environments. Imaging capability, sense of presence, and sense of comfort were also adopted as evaluation criteria in the virtual environment. Responses concerning satisfaction with different view contents in the physical and virtual environments were found to have no statistically significant difference and they also achieved statistical equivalence. It was also established that the novel method used to display dynamic window scenes could retain the clarity of content and attain good scene integration. The virtual environment offered a sense of presence, although some subjects still paid attention to the physical environment. In relation to sense of comfort, most subjects found the headset’s weight to be bearable and it did not compromise the performance of tasks in the virtual environment. However, visual fatigue was identified as a notable drawback which should be addressed to improve the comfort of subjects and accuracy of results. This study affirms virtual reality’s viability as a convenient and effective tool for evaluating dynamic window views.

Investigation of the adsorption performance and mechanism of multi-source mineral composite calcination materials on heavy metal ions

To address the challenges of plume generation and the release of heavy metal ions caused by deep-sea mining operations, this study utilized multi-source minerals, including steel slag (SS), oceanic manganese nodules (OMN), attapulgite (AT), and sawdust (SD), to fabricate a multi-source mineral composite calcination material (MMCCM) through a sintering process, and then the preliminary heavy metal ion adsorption experiment was carried out. The results indicated that both Langmuir and Freundlich models can describe the adsorption behavior of Cu2+ in a single system, while the Freundlich model was more applicable in competitive systems. The adsorption of Co2+ and Ni2+ consistently aligned with the Langmuir model across all systems. The adsorptive behavior conformed to pseudo-second-order kinetics, indicating that chemisorption played a leading role. The intraparticle diffusion was the principal rate-limiting step, and the adsorption process was spontaneous. BET, TG-DTG, SEM-EDS, XRD, FT-IR and XPS elucidated that surface physical adsorption, ion exchange, complexation with functional groups, electrostatic attraction, and co-precipitation, which were the predominant adsorption mechanisms for MMCCM. Evaluations of regenerability, economy, security, and suitability demonstrated that MMCCM is an eco-friendly adsorbent, which provides materials and data support for future heavy metal marine sewage treatment, especially for immobilizing heavy metal in deep-sea sediments.

Research on Evaluation of the Carbon Dioxide Sequestration Potential in Saline Aquifers in the Qiongdongnan–Yinggehai Basin

This paper evaluates the carbon dioxide sequestration potential in the saline aquifers of the South Qiongdongnan–Yinggehai Basin. By using a hierarchical evaluation method, the assessment is divided into five stages: the basin level, the zone level, the target level, the site level, and the injection level. The study primarily focuses on evaluating the sequestration potential of and identifying favorable zones of saline aquifers at the basin and zone levels. The optimized volumetric method is adopted, based on the integration of multi-source data such as regional geological maps, seismic data, core porosity, and permeability. The results show that the estimated potential of the Yinggehai Basin is 60.6 billion tons at the basin level and 54.6 billion tons at the zone level. Additionally, the estimated potential of the South Qiongdongnan Basin is 261.5 billion tons at the basin level and 234.8 billion tons at the zone level. The suitability evaluation indicates that the Yinggehai Basin is moderately suitable overall, the northern depression of the South Qiongdongnan Basin is suitable, the central uplift is moderately suitable, and the central depression is not suitable. This study provides a scientific foundation for carbon dioxide sequestration in marine basins and introduces novel ideas and methods for future similar research. This is highly significant for subsequent engineering applications and decision-making processes.

Shopping Mall Site Selection Based on Consumer Behavior Changes in the New Retail Era

As a product of the development of e-commerce over a specific period of time, the “new retail model” breaks the barriers between the traditional retail industry and e-commerce. Supported by Internet technology, it builds a new business model of “physical store + e-commerce + logistics” through the integration of online, offline, and logistics, which also leads to a great change in consumer behavior. Therefore, in order to meet consumer demand and achieve the long-term development of shopping malls, while taking into account the fair allocation of urban space resources, the indicators and methods of shopping mall site selection evaluation in the new retail era will be significantly different from traditional shopping mall site selection decisions. In this paper, the Wuhan East Lake Hi-Tech Zone is selected as the research object, and a comprehensive AHP-GIS assessment model is proposed. By investigating the impact of consumers’ behavioral changes on shopping mall location in the new retail era, a suitability evaluation system containing eight evaluation indicators is constructed, and the weights of each factor are determined using hierarchical analysis. At the same time, GIS is used to process the spatial analysis of the indicators, and combined with the weights of the factors, superposition analysis and quantitative research are carried out. Finally, based on the correlation analysis between ratings and customer flow, the suitability evaluation results are further supported in order to provide a more objective and scientific basis for the location of shopping malls from the perspective of the change in consumer behavior under the new retail model, and to put forward universal suggestions for the construction and development of shopping malls in the future.

Suitable habitat evaluation and ecological security pattern optimization for the ecological restoration of Giant Panda habitat based on nonstationary factors and MCR model

Enhancing the regional connectivity, coordination, and integrity of Giant Panda National Park can protect giant pandas. The construction and optimization of the ecological security pattern in giant panda habitat can effectively promote the information exchange among giant panda populations of Giant Panda National Park in Ya'an area. Based on climate change, geographic location, human activities, and other factors, the Maxent model was used to evaluate the non-stability of giant panda habitat suitability, and the minimum cumulative resistance (MCR) model was used to construct the ecological security pattern. Based on the gravity model and relevant image verification analysis, we proposed an optimal solution to the ecological problem of giant panda corridor groups. From our research, good habitat suitability of giant pandas was detected, with a high degree of local fragmentation. The areas of the most suitable habitat, the more suitable habitat, and the generally suitability were 1970.12 km2, 2346.51 km2, and 1902.37 km2, respectively. Suitable habitat was located between 2100 m and 3400 m in elevation, with a less than 30° slope. The average temperature of the coldest season in the suitable area was around - 2 ∼ 2 °C, the precipitation of the wettest month was between 140 ∼ 160 mm, and the mean diurnal range was between 9 ∼ 14 °C. Valuation results for nonstationary factors beyond these ranges will not fall within the Habitat Suitability Zone. In total, 13 ecological sources, 13 ecological corridors, 6 ecological barrier points, and 4 ecological pinch points were identified and divided into 4 ecological corridor groups to locate and repair ecological problems, achieving the purpose of building and optimizing ecological security patterns. The integrated technical frame work proposed in this work, which combined the suitability evaluation, ecological safety pattern construction and ecological restoration, considered the nonstationary variations in factors and the actual species ranges. It also emphasized the importance of the relationship between the species’ suitability and the ecological security pattern. The results of this work have important implications for examining the habitat modifications, gene exchange between giant panda populations, and habitat conservation of giant pandas.

Evaluation of the Pacific oyster marine aquaculture suitability in Shandong, China based on GIS and remote sensing

The Pacific oyster (Crassostrea gigas) is a marine aquaculture species with rapid production growth in recent years. China accounts for nearly 90% of global production by 2021, especially in Shandong province. Evaluating suitability is crucial for ensuring the sustainable growth of Pacific oyster marine aquaculture and achieving a blue transition. This study developed a suitability evaluation model for Pacific oyster marine aquaculture using a Geographic Information System (GIS), Maximum Entropy (MaxEnt) model, remote sensing, and reanalysis data. A literature review and Analytic Hierarchy Process (AHP) were used to establish an evaluation model encompassing water quality, hydrology, climate and meteorology, and socioeconomic factors. The results showed that within a 20 km range of the Shandong coast, 49% of the area was highly suitable, 51% was moderately suitable, and the overall annual high score proportion (HSP) fluctuated around 50%, with higher suitability observed in the spring and autumn. The inner bays of the coastal areas (Laizhou, Rongcheng, Jimo) exhibited high suitability (HSP over 80%); in contrast, the offshore areas (Changdao, Rushan) farther from the coast had lower suitability and showed significant monthly variations. The result was consistent with the spatial distribution and temporal variation of Shandong’s existing Pacific oyster marine aquaculture areas. The study also found that El Niño significantly impacts Rongcheng, Rushan, and Jimo during summer. We predicted an overall increase of suitability in the Shandong offshore areas under future climate change scenarios, with a more significant increase of suitability in the north. El Niño-Southern Oscillation (ENSO) influenced the concentration of parameters such as chlorophyll-a (Chl-a) and total suspended sediment (TSS) in the coastal waters through its impact on precipitation (Pr), resulting in suitability fluctuations.

COGNITIVE IMPAIRMENT IN DIFFERENT CLINICAL FORMS OF MULTIPLE SCLEROSIS

Purpose: The aim of the study is to investigate cognitive impairment (CI) in patients with different clinical forms of Multiple Sclerosis (MS) and to propose a suitable cognitive evaluation based on available tools for diagnosis and monitoring purposes. Materials and Methods: The following tests were used: Paced Auditory Serial Addition Test (PASAT), Symbol Digit Modalities Test (SDMT), Brief Visuospatial Memory Test-Revised (BVMT-R), Expanded Disability Status Scale (EDSS) and Magnetic Resonance Tomography 1.5Т (МRТ) in 60 consecutive patients; 22 were with first demyelination episode and 38 with MS. The control group of 40 healthy persons matched for sex, age and years of education. The follow-up period is three years. Results: The average screening values of PASAT, SDMT, BVSMT-R are considerably lower (р<0.05) in MS patients compared to the controls and CIS patients. Point's number in the progressive forms in comparison with RRMS is reliably smaller. There was no significant difference in results between SPMS and PPMS patients at screening (р>0.05). In the 3rd year, there is a significant cognitive progression in all studied groups and for all tests (р<0.05). Conclusion: The use of a neuropsychological screening test is a valuable method for registering CI in patients with relapsing-remitting course, as well as in patients with a progressive course of the disease. We recommend the SDMT for screening annual follow-up because it is easy to apply, validate and reliably report the progression of CI. In patients with visual disturbances and with arm weakness, it is better to use PASAT, taking into account the level of education and depression.

The Use of an Optimized Grey Multi-Objective Programming-PLUS Model for Multi-Scenario Simulation of Land Use in the Weigan–Kuche River Oasis, China

The oasis serves as the primary supply of cultivable land, along with the hub for human production and habitation in Xinjiang. Accordingly, predicting the land use of these areas based on various goals is an effective instrument for encouraging the sensible distribution of resource space. The study investigated the creation of a land use-allocation optimization model based on the various objectives of ecological protection, food security, and urban growth using the Weigan–Kuche River oasis as an example. The GMOP-PLUS model’s restriction conversion area was adjusted to include the findings of the land suitability evaluation. Additionally, it optimized and simulated the spatial arrangement and quantitative structure of land usage in the Weigan–Kuche River oasis in 2035. The results indicate the following: (1) the model’s overall accuracy is 89.36%, and its Kappa coefficient is 0.872, more than 0.8. Thus, the model can be considered for adoption in the future when predicting changes in land use in the districts and counties of the Weigan–Kuche River oasis; (2) based on the results of the land suitability evaluation, the percentage of areas that are most suited for agricultural development, urban development, and ecological protection is 39.32%, 24.21%, and 14.06%, respectively; and (3) the three scenarios satisfy the various demands for growth within the oasis, and the land use structure of the oasis varies considerably in response to the various development objectives, with the construction and cultivated land undergoing the most substantial modifications. The multi-scenario simulation of land usage in the oasis can provide essential support and a range of perspectives for future land spatial planning and socioeconomic development decision-making in the Weigan–Kuche River oasis. This is essential for both the efficient use of land resources and sustainable development.

Evaluation of suitability and biodegradability of the organophosphate insecticides to mitigate insecticide pollution in onion farming

Organophosphates constitute a major class of pesticides widely employed in agriculture to manage insect pests. Their toxicity is attributed to their ability to inhibit the functioning of acetylcholinesterase (AChE), an essential enzyme for normal nerve transmission. Organophosphates, especially chlorpyrifos, have been a key component of the integrated pest management (IPM) in onions, effectively controlling onion maggot Delia antiqua, a severe pest of onions. However, the growing concerns over the use of this insecticide on human health and the environment compelled the need for an alternative organophosphate and a potential microbial agent for bioremediation to mitigate organophosphate pesticide pollution. In the present study, chloropyrifos along with five other organophosphate insecticides, phosmet, primiphos-methyl, isofenphos, iodofenphos and tribuphos, were screened against the target protein AChE of D. antiqua using molecular modeling and docking techniques. The results revealed that iodofenphos showed the best interaction, while tribuphos had the lowest interaction with the AChE based on comparative binding energy values. Further, protein-protein interaction analysis conducted using the STRING database and Cytoscap software revealed that AChE is linked with a network of 10 different proteins, suggesting that the function of AChE is disrupted through interaction with insecticides, potentially leading to disruption within the network of associated proteins. Additionally, an in silico study was conducted to predict the binding efficiency of two organophosphate degrading enzymes, organophosphohydrolase (OpdA) from Agrobacterium radiobacter and Trichoderma harzianum paraoxonase 1 like (ThPON1-like) protein from Trichoderma harzianum, with the selected insecticides. The analysis revealed their potential to degrade the pesticides, offering a promising alternative before going for cumbersome onsite remediation.

Coronavirus risk factor by Sugeno fuzzy logic

<span>World recently faced big challenges with the pandemic of coronavirus disease 2019 (COVID-19). Governments suffer from the problem of appropriately identifying the risk factor of this virus and establishing their safety procedures accordingly. This paper concentrates on designing a coronavirus risk factor (CRF) by the power of Sugeno fuzzy logic (SFL). The main advantage of the CRF is that it can provides a quick and suitable risk evaluation. According to the degree of severity, three essential parameters are considered: number of infected cases, number of people in intensive care units (ICU) and number of deaths. All of these parameters are provided per population. Such interesting and promising outcomes are attained, where the total effect is found equal to 95.3%.</span>

Evaluation of suitability for glucagon-like peptide-2 treatment in a large population of home parenteral support patients

Evaluation of suitability for glucagon-like peptide-2 treatment in a large population of home parenteral support patients

Potential and Influencing Factors of Urban Spatial Development under Natural Constraints: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area

As urbanization in China progresses, urban spatial development is transitioning from rapid expansion to more intensive and compact growth. This study examined the role of physical geography and environmental factors in shaping the urban spatial development in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). Based on the current natural conditions, we selected evaluation indices from topography, hydrogeology, climatic conditions, and natural disasters. These indices were used to create a carrying capacity and suitability evaluation system for development land under natural constraints. Finally, the spatial development potential of the city was finalized by taking into account the current state of the built-up area of the city. Meanwhile, we employed the Optimal Parameters-based Geographical Detector and assessed the impact of 14 natural factors on the spatial development of urban built-up areas. In 2020, the GBA had 52,168.77 km2 of land suitable for construction, of which 34,241.13 km2 was highly suitable (61.29%) and 17,927.64 km2 was moderately suitable (32.09%). At the Bay Area level, 90.15% of the development potential remains untapped; at the city level, Zhaoqing City has the highest potential at 99.56%, while Macao has the lowest at 26.83%. Key factors influencing urban development include silty sand content, annual average relative humidity, and cumulative temperature above 0 °C, with varying impacts across different urban scales. At the Bay Area level, the silty sand content, annual average relative humidity, and cumulative temperature above 0 °C are the main influencing factors on the spatial development of urban built-up areas; at the city level, the main factors are annual average relative humidity and cumulative active temperature above 0 °C. This study reveals the important influence of natural environmental factors on urban spatial development, which is conducive to promoting sustainable development of land resources in GBA.

Site Suitability Evaluation of a Large Commercial Complex Using an Improved Projection Pursuit Model

In developing countries, especially China, large-scale commercial complexes are the current trend in commercial real estate. Compared with other similar buildings, scientific site selection is very important for the smooth construction and efficient operation of these complexes. However, there is still a lack of a targeted evaluation index system and quantitative evaluation methods. Therefore, this paper put forward the evaluation index system and method of large-scale commercial-complex location based on a projection pursuit model. First, this paper comprehensively considered the environmental, social, and economic factors, and used secondary and tertiary indicators to systematically establish an evaluation index system. This index system effectively dealt with the complex problem of its site selection. Compared with the traditional multi-attribute evaluation method based on expert advice, the evaluation method of the improved projection pursuit model based on a sparrow search algorithm constructed in this paper was to mine key information from the evaluation data, which could evaluate the site suitability of large commercial complexes more scientifically and objectively. In addition, this paper made a detailed empirical study of the Joy City project in Nanchang, China. The research results found the key factors affecting the site selection of the project and determined that the site-selection evaluation result of the project was medium. The research results of this paper provide the scientific and objective decision-making basis for the development enterprises of large commercial complexes to reduce site-selection risk and improve investment efficiency.

Assessment of effects of duration and dosage of Amlodipine on gingival health - A Prospective Study

Objectives: Calcium channel blockers are one of the most commonly used drugs for the management of cardiovascular disorders and are known for causing gingival overgrowth as an adverse effect. Disfiguring gingival overgrowth triggered by this medication is not only esthetically displeasing but also often impairs nutrition and access to oral hygiene, resulting in increased susceptibility to oral infection, caries, and periodontal diseases. The present study aimed to correlate the incidence of the extent of gingival enlargement in hypertensive patients receiving amlodipine and also a correlation of the extent of gingival enlargement with the dosage and duration of intake of Amlodipine. Materials and Methods: Hypertensive patients attending the outpatient of the Department of Oral Medicine and Radiology were selected for the study. A detailed history of the subjects was recorded for single or multiple drug usage, including the intake of amlodipine medications for hypertension, the dose and duration of the drug usage, following which a clinical examination was performed to evaluate the grades of gingival enlargement and local factors affecting the same. Results: The majority of the patients (81%) received 5 mg of amlodipine medication, and more than 40% of patients were receiving amlodipine for more than one year. More than 50% of patients had grade 2 gingival enlargement. There was a significant correlation between gingival enlargement and amlodipine dosage. Also noted was an association between gingival enlargement and duration of receiving amlodipine. Conclusion: Even with a minimal dose of amlodipine, significant gingival enlargement is seen; hence, regular follow-up with a suitable dental evaluation referral for examining gingival and periodontal status becomes imminent. Therefore, dental professionals need to identify and then guide the patient to seek the necessary medical intervention for the same.

Level of Land Adjustment Durian (Durio zibethinus Murr.) in District Sigumpar District Toba

Utilization of land for other uses in Sigumpar District needs to be supported by information regarding land suitability. Therefore, an evaluation of the characteristics of the level of land suitability in the area was carried out, to analyze improvement efforts aimed at increasing productivity, as well as to create a map of actual land suitability and potential land suitability for durian plants in the district. The method used is the survey method. Land units are based on soil maps, slope maps, altitude maps, land cover maps, consisting of 6 land units and 18 points. The analysis method is the comparing (matching) method. The results of the research show that the level of land suitability for durian plants (Durio zibethinus Murr.) The actual land conditions suitable for durian cultivation in Sigumpar District are 1,856.22 ha. (2) Potential land conditions suitable for durian cultivation in Sigumpar District are 1,726.22 ha. Where limiting factors that cannot be remedied are temperature and soil texture, while limiting factors such as nutrient retention, nutrient availability, water availability and erosion hazards can be remedied in the form of: (1). Liming and fertilization adjusted to the results of soil tests on the land. Making drainage channels, planting parallel to contours, and making terraces. Keywords: land suitability evaluation, durian plant, utilizzation of other area, subdistrict of Sigumpar

Ecological Suitability Evaluation of Chinese Pearleaf Crabapples in Horqin Right Wing Front Banner Based on GIS

The Chinese pearleaf crabapple tree, belonging to the Rosaceae family and with the scientific name Malus asiatica, bears fruits that serve as both food and medicine. The Horqin Right Wing Front Banner is a critical node for ecological security in the northern border regions of China, exerting significant influence on ecological health in China. Additionally, the resources in this region are limited, and residents have historically relied solely on maize cultivation for sustenance. Therefore, local measures combining ecological conservation and economic development have been implemented in vigorously promoting the Chinese pearleaf crabapple industry. Hence, it is necessary to study the ecological suitability of the local Chinese pearleaf crabapple. In this study, 15 evaluation indicators are employed for this purpose, with the analytic hierarchy process (AHP) used to calculate single-factor weights. Additionally, GIS is utilized to establish membership functions for achieving dimensionless evaluation indicators, as well as a weighted index and model used to compute comprehensive suitability scores. Using the natural breakpoint method, the overall scores were categorized into five groups: most suitable, more suitable, barely suitable, unsuitable, and not applicable. The validation of zoning results includes verification of existing planting locations and conducting principal component analysis of the characteristics and yield of Chinese pearleaf crabapple to ensure the accuracy of the zoning. It is found that the validation results are generally consistent with the zoning results. The results indicate that the most suitable, more suitable, suitable, barely suitable, and unsuitable represent 16.49%, 32.07%, 30.36%, 14.52%, and 6.55% of the total zoning area, respectively. These findings can be applied to land use planning and in expanding the planting area of Chinese pearleaf crabapple.

Survival analysis of unemployment duration: a case study of Vietnam

ABSTRACT How to make own advantages when submitting applications and increase the probability of getting a job early? The target of this study is to analyse the determinants of unemployment duration and the probability of seeking a job after graduation. It is carried out by using survival analysis along with the Cox model and Kaplan–Meier estimator and based on the dataset integrated from survey data and academic data. The empirical results show that taking part-time jobs related to training majors and setting goals as well as planning to go internship early have a positive influence on the ability of students to get a job early. The results also reveal that the mother’s occupation, the type of internment enterprise, the type of work contract, and the refusal of job opportunities offered previously have a negative impact on students’ chances of escaping unemployment. The findings are the basis for students to properly assess their advantages and disadvantages. Thereby, they can determine the goal of a job that suits their capacity and have a reasonable plan combined with their efforts to achieve it. They also support companies to identify groups of potential students and build their suitable evaluation criteria in recruitment.