bluuebunny/crossref_metadata_2025_split huggingface dataset:
Crossover in densities of confined particles with finite range of interaction
Authors: Santra Saikat , Kundu Anupam 
Published: May 2024

Abstract
We study a one-dimensional classical system of N particles confined within a harmonic trap. Interactions among these particles are dictated by a pairwise potential V(x), where x is the separation between two particles. Each particle can interact with a maximum of d neighbouring particles on either side (left or right), if available. By adjusting the parameter d, the system can be made nearest neighbour

(
d
=
1
)

to all-to-all

(
d
=
N
−
1
)

interacting. As suggested by prior studies, the equilibrium density profile of these particles is expected to undergo shape variations as d is changed. In this paper, we investigate this crossover by tuning the parameter

f
(
=
d

/

N
)

from 1 to 0 in the large N limit for two distinct choices of interaction potentials,

V
(
x
)
=
−

|

x
|

and

V
(
x
)
=
−
log
⁡
(

|

x

|

)

which correspond to 1d one-component plasma and the log-gas model, respectively. For both models, the system size scaling of the density profile for fixed f turns out to be the same as in their respective all-to-all case. However, the scaling function exhibits diverse shapes as f varies. We explicitly compute the average density profile for any

f
∈
(
0
,
1
]

in the 1d plasma model, while for the log-gas model, we provide approximate calculations for large (close to 1) and small (close to 0) f. Additionally, we present simulation results to numerically demonstrate the crossover and compare these findings with our theoretical results.
A systematic review of GIS-based and AHP approaches for identifying suitable locations for livestock farms
Authors: Nong Duong H. , Nguyen Thuy T. , Vu Xuan T. , Ngo Son T. , Vo Cong H. , Tran Phuong T. 
Published: May 2024

Abstract
In modern livestock farming, where efficiency, sustainability, and resource optimization are vital, choosing the right farm location is crucial. This entails a meticulous assessment of environmental, economic, and social factors. Recently, the synergy of Geographic Information Systems (GIS) and the Analytic Hierarchy Process (AHP) has revolutionized site selection for livestock farms. This study seeks to explore GIS-based and AHP approaches, examining their respective roles and the indicators employed in existing literature related to decisions on livestock farm locations. Our objective is to extract key insights and identify emerging trends from the analysis of case studies and methodologies present in the current body of literature. This comprehensive review not only informs present practices but also serves as a guiding framework for the future of sustainable livestock farming site selection.
Landscape metrics for land use/cover change and green space pattern in Can Tho city in 1998-2020 based on remote sensing and GIS
Authors: Thi Cat Tuong Truong , Do Thuy Linh , Thi Giao Chau Trinh 
Published: May 2024

Abstract
Changes in land cover/green space in Can Tho city in the period 1998-2020 were analyzed based on remote sensing data and the perspective of landscape ecology. The data collected from JAXA on land cover/land use classification entire Can Tho city in the period 1998-2020 was used to extract landscape metrics and to analyze the changes by a conversion matrix. The result shows a complex change in the urban green space in the period 1998 - 2020 in Can Tho. Research results show that Can Tho city had rice paddies and other croplands accounting for the majority of the land use structure. In the period 1998-2020, the city experienced a major shrinkage in croplands. Although other land use/cover types fluctuated differently, the fragmentation process still prevailed with fragments having discrete connections in space. The process of urbanization occurred with the expansion of built-up, but the concentration level was not high, with small fragments appearing sporadically distributed. However, comparing the landscape indices in the period 1998 – 2020 showed the aggregation process was increasingly taking place, and the level of fragmentation had tended to decrease. This trend was evidenced by the sharp increase in the number of patches, effective mesh size, and splitting index simultaneously with the gradual decline of the LPI index. The research results show high potential in expanding green space in Can Tho as well as application in planning urban green space development.
Integrating Remote Sensing, GIS and Machine Learning Approaches in Evaluation of Landslide Susceptibility in Mountainous Region of Nghe An Province, Vietnam
Authors: Thi Tuyen Tran , Thi An Tran , Van An Nguyen , Thi Thuy Ha Nguyen , Van Luong Vu , Anh The Hoang , Thi Thu Ha Vo 
Published: May 2024

Abstract
This study applied remote sensing methods combining GIS and machine learning (ML) in landslide assessment and zonation for the western mountainous area of Nghe An province, Vietnam. Factors affecting landslide susceptibility are analyzed and included in the assessment model including terrain elevation, slope, aspect, flow accumulation, geomorphology, profile curvature, Topographic Position Index (TPI), fault density, road density, rainfall and land use. A field survey was conducted on July, 2023 to collect the ground truth data of landslide areas in Nghe An and used as input for the training and validating process of landslide model with ratios of 70 and 30 percentage. The landslide estimation algorithms which derived from the machine learning approach including Support Vector Machine, Random Forest, and Logistic Regression have been investigated with 11 input layers and field survey training data. The results indicated that among the causative parameters of landslides in the study area, the most important factor was the Standardized Precipitation Index, derived from the rainfall data. Additionally, traffic, terrain slope, and elevation were also significant factors. In terms of the landslide estimation algorithms, the Random Forest model exhibited the highest accuracy for mapping landslide susceptibility in the western mountainous region of Nghe An province, with a correlation coefficient (R2) of 0.97. The research findings demonstrate the effectiveness of integrating remote sensing, GIS, and ML techniques for landslide research in mountainous areas of Vietnam. This approach provides valuable insights on landslide susceptibility, and a better understanding of landslide dynamics in the study area.
GIS application to build models for exploitation of land use planning databases
Authors: Linh Truong D T , Tam Do T , Kha Nguyen X , Phuong Tran T , Thao Xuan T T 
Published: May 2024

Abstract
The land-use planning (LUP) database is an efficient instrument for administering and closely monitoring the implementation of LUP; as a prerequisite for the successful construction of the land database; supporting administrative reforms and meeting the needs of LUP exploitation. Up to 2023, Vietnam has 292 administrative units that have completed the LUP database, but they will not be operational or broadly disseminated due to a lack of suitable models and solutions for LUP exploitation. The objective of this research was to provide a theoretical and practical foundation for the LUP database in Vietnam and use Microsoft Visio software to design a model for exploiting the LUP database. Within the general models of land information system (LIS) (such as national LIS model, provincial LIS model, and LUP information system model) as well as the specific modules (such as user administration, LUP database management, exploitation, and operation of LUP database, share LUP database), our research will contribute to helping the central government and local levels effectively implement the process of managing, operating, sharing, and integrating LUP database into the land database. From there, technological solutions were proposed to implement these models, thereby enhancing the efficacy of land management and utilization in Vietnam.
Spatial assessment of pollutant loads for surface water quality management: a case study in Lai Chau city, Vietnam
Authors: Ngo T A , See L , Leisz S J , Tran N B , Dinh T H V , Nguyen T H 
Published: May 2024

Abstract
The aim of this study is to present a method for estimating the pollutant load from different sources in an effort to provide improved information regarding water pollution and help control the surface water pollution, using Lai Chau city as a case study. The pollutant load was calculated in accordance with the Vietnam Environment Administration Decree No.154/2019 on the guidance for calculating the total pollutant load of river water. The pollutant sources include point sources (domestic wastewater, animal husbandry, industrial complexes and economic services) and surface sources (run-off from agricultural land uses) that generate wastes that potentially contaminate water bodies. The source locations were mapped and spatially joined with the drainage-basin map delineated from a Digital Elevation Model (DEM) to calculate the loads for the sub-basin units. Multivariate analysis then showed that the farming and domestic sources had the strongest positive loading factors for the sub-basins located in the city center and its fringe areas. Of these waste from animal husbandry account for up to 75.1% of total pollutant load. The main conclusion from the study’s results is that the management approach should be changed from the total controlling mode, which is currently applied in the city, to a source specific approach based on the pollutant discharge loads and the allocated capacities.
Spatial-Temporal Assessment of Drought in Hoa Vang district, Da Nang City, Vietnam Using Remote Sensing and Google Earth Engine
Authors: Ngoc Hanh Le , Hoang Son Nguyen , Phuc Chi Lang Le , Thi An Tran , Van An Nguyen , Phuoc Minh Truong 
Published: May 2024

Abstract
The objective of this research was to map the drought risk in Hoa Vang district, Da Nang city, and analyze the variability of drought events from 1991 to 2020 using remote sensing imagery. To achieve this, remote sensing and GIS methods were utilized to gather information on land surface temperature and the Normalized Difference Vegetation Index (NDVI). The study effectively employed the Google Earth Engine which is a cloud-based computing platform to analyze image sequences from Landsat 5 and OLI sensors spanning the period from 1991 to 2020. This analysis aimed to extract the remote sensing indices and applied them for drought assessment and monitoring. The study employed land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) to derive the Temperature Condition Index (TCI), Vegetation Condition Index (VCI), and Vegetation Health Index (VHI). These indices were utilized to assess drought conditions in Hoa Vang district, Da Nang city, over the period from 1991 to 2020. The research findings reveal that the drought values in Hoa Vang district exhibited variations throughout the studied period. Notably, regions at risk of drought during the later periods exhibited an increasing trend compared to the initial periods. This suggests a potential escalation in drought severity in the study area over time. The outcomes of this study provide essential background for evaluating the impacts of drought on agricultural production in Hoa Vang district, Da Nang city.
Spatio-Temporal Trend Analysis of Annual and Seasonal Rainfall in Ho Chi Minh City
Authors: Duc Vu Nguyen , Nguyen Dong Phuong Dang , Thi Minh The Ngo , Ngoc Quynh Tram Vo , Thanh Trang Le , Kim Loi Nguyen 
Published: May 2024

Abstract
Spatio-temporal variations and trends in climatic variables play an essential role in the adaptation and mitigation of climate change policy. This study analyzed spatial and temporal variability of annual and seasonal rainfall in Ho Chi Minh City based on non-parametric statistical trend tests and spatial interpolation techniques. In particular, Sen’s Slope Estimator and Inverse Distance Weighting (IDW) methods were applied to construct the spatial distribution of annual and seasonal rainfall over the city. The outcomes show that annual and seasonal rainfall experienced significant increasing trends. Generally, these findings draw out an overall picture of rainfall variability in terms of space and time, which makes it possible for local decision-makers to promote more promising action plans in order to respond to natural disasters in the context of climate change.
Application of GIS in land unit mapping and evaluation of land suitability for agriculture in Uong Bi district – Quang Ninh province
Authors: Binh Nguyen T , Duyen Dinh H , Thuy Doan T 
Published: May 2024

Abstract
This study aims to apply Geographic Information Systems (GIS) in land unit mapping and the evaluation of land suitability for agriculture in Uong Bi District, Quang Ninh Province, Vietnam. Given the complex and spontaneous changes in land usage driven by market fluctuations and environmental challenges, assessing land quality becomes crucial for sustainable agricultural development. Integrating soil, topographic, and climatic data within a GIS framework led to the creation of land unit maps for 40 different units in Uong Bi district, classified based on soil type, slope, soil depth, soil fertility, and hydrological conditions. The assessment of land suitability for seven main crops, including Litchi, Citrus, Dragon fruit, Cinnamon, Vegetables, Pine, and Macca, was conducted using the FAO framework for land evaluation. The results indicate that Pine and Cinamon have the highest arable area across all crops (with 15,895.40 ha and 15,502.40 ha respectively) while Vegetables show the lowest total arable area (4,063 ha). The findings provide valuable insights into the suitability of land for specific crops, facilitating informed decision-making to optimize land use and improve agricultural production.
An initial assessment of mobile dam efficiency in raising low-flow water levels in the Vietnamese Mekong Delta
Authors: Hoa Ho Van , Xuan Quang Chau Nguyen , Hoang Giang Ngo Ngoc , Dung Tran Duc 
Published: May 2024

Abstract
In recent years, the Tien and Hau rivers have experienced a downtrend in water levels during the low flow season. This decrease has led to detrimental effects on agricultural production and ecological health in the VMD’s upper regions, such as the Long Xuyen Quadrangle (LXQ) and the Plain of Reeds (PoR). This research employs a numerical hydraulic model for a preliminary assessment of the potential effectiveness of mobile dams in increasing water levels in the VMD’s upper part. A calibrated 1D hydraulic model was utilized to evaluate the performance of the proposed mobile dams: one situated near the My Thuan bridge on the Tien river, and the other near the Can Tho bridge on the Hau river. Initial results indicate that setting the crest of mobile dams at -1.0 m could raise minimum and maximum water levels in the Tien river near Tan Chau by 1.0 m and 0.15 m, respectively, and in the Hau river near Chau Doc by 1.1 m and 0.07 m, respectively. Furthermore, these mobile dams could significantly enhance the minimum and maximum water levels in An Binh channel within the PoR and Ba The channel in the LXQ, by up to 0.55 m and 0.26 m, and 0.42 m and 0.29 m, respectively. These findings provide an essential foundation for initially understanding how mobile dams can improve water resource management in the VMD. However, additional investigation is required to assess the effects of mobile dams on salinity intrusion, ecological balance, hydrological dynamics, sediment deposition, and erosion.
Development of Soil Quality Databases and Land Potential Assessment Using GIS: A Case Study of Lao Cai Province, Vietnam
Authors: Van Van Pham , Duc Thuan Nguyen , Thi Loan Do 
Published: May 2024

Abstract
The utilization of Geographic Information Systems (GIS), particularly the Mapinfo software, is indispensable in the establishment of a land quality and land potential database encompassing each land parcel within Lao Cai province. Through a multifaceted approach involving data collection techniques, field surveys, data analysis, and the creation of both spatial and attribute databases, the GIS application in Lao Cai province has successfully compiled a comprehensive dataset. This dataset encompasses a range of layers, including boundaries, administrative demarcations, land use statuses, survey points, soil types, slope characteristics, soil depth, irrigation patterns, climatic conditions, soil fertility data, and transportation and hydrological information. The amalgamation of this spatial data with attribute data yields a comprehensive repository featuring information on 405 units of agricultural land quality and potential, in addition to 65 aggregated non-agricultural land parcels. This combined dataset functions as the foundational land quality and potential database for Lao Cai province. Assessment outcomes for land quality and land potential throughout the entire province reveal that 51.42% of the land exhibits low quality, 35.06% demonstrates moderate quality, and 13.52% boasts high quality. In terms of land potential, 29.15% is categorized as having low potential, 44.88% as having moderate potential, and 25.97% as having high potential. Furthermore, the precise delineation of land quality and potential for each land parcel within the database effectively caters to the information retrieval needs of land administrators and stakeholders. This research also seeks to contribute to the standardization of land databases at both the provincial and national levels, thereby bolstering land management efforts within the context of globalization, development, and climate change adaptation.
Basic models to advanced systems: harnessing the power of organoids-based microphysiological models of the human brain
Authors: Boylin Katherine , Aquino Grace V , Purdon Michael , Abedi Kimia , Kasendra Magdalena , Barrile Riccardo 
Published: May 2024

Abstract
Understanding the complexities of the human brain’s function in health and disease is a formidable challenge in neuroscience. While traditional models like animals offer valuable insights, they often fall short in accurately mirroring human biology and drug responses. Moreover, recent legislation has underscored the need for more predictive models that more accurately represent human physiology. To address this requirement, human-derived cell cultures have emerged as a crucial alternative for biomedical research. However, traditional static cell culture models lack the dynamic tissue microenvironment that governs human tissue function. Advanced in vitro systems, such as organoids and microphysiological systems (MPSs), bridge this gap by offering more accurate representations of human biology. Organoids, which are three-dimensional miniaturized organ-like structures derived from stem cells, exhibit physiological responses akin to native tissues, but lack essential tissue-specific components such as functional vascular structures and immune cells. Recent endeavors have focused on incorporating endothelial cells and immune cells into organoids to enhance vascularization, maturation, and disease modeling. MPS, including organ-on-chip technologies, integrate diverse cell types and vascularization under dynamic culture conditions, revolutionizing brain research by bridging the gap between in vitro and in vivo models. In this review, we delve into the evolution of MPS, with a particular focus on highlighting the significance of vascularization in enhancing the viability, functionality, and disease modeling potential of organoids. By examining the interplay of vasculature and neuronal cells within organoids, we can uncover novel therapeutic targets and gain valuable insights into disease mechanisms, offering the promise of significant advancements in neuroscience and improved patient outcomes.
Vascular dysfunction in hemorrhagic viral fevers: opportunities for organotypic modeling
Authors: Zarate-Sanchez Evelyn , George Steven C , Moya Monica L , Robertson Claire 
Published: May 2024

Abstract
The hemorrhagic fever viruses (HFVs) cause severe or fatal infections in humans. Named after their common symptom hemorrhage, these viruses induce significant vascular dysfunction by affecting endothelial cells, altering immunity, and disrupting the clotting system. Despite advances in treatments, such as cytokine blocking therapies, disease modifying treatment for this class of pathogen remains elusive. Improved understanding of the pathogenesis of these infections could provide new avenues to treatment. While animal models and traditional 2D cell cultures have contributed insight into the mechanisms by which these pathogens affect the vasculature, these models fall short in replicating in vivo human vascular dynamics. The emergence of microphysiological systems (MPSs) offers promising avenues for modeling these complex interactions. These MPS or ‘organ-on-chip’ models present opportunities to better mimic human vascular responses and thus aid in treatment development. In this review, we explore the impact of HFV on the vasculature by causing endothelial dysfunction, blood clotting irregularities, and immune dysregulation. We highlight how existing MPS have elucidated features of HFV pathogenesis as well as discuss existing knowledge gaps and the challenges in modeling these interactions using MPS. Understanding the intricate mechanisms of vascular dysfunction caused by HFV is crucial in developing therapies not only for these infections, but also for other vasculotropic conditions like sepsis.
Dry-wet cycles durability of solid waste based cementing materials solidifying different characteristic soils
Authors: Zeng Guodong , Shu Benan , Qiu Bing , Qiu Keyi , Luo Dongmei 
Published: May 2024

Abstract
A comparative study of the durability of multi-source solid waste-based soil solidification materials in solidifying different soil types has not yet been conducted. Therefore, the properties of multi-source solid waste-based solidification materials (SBM) solidifying clay soil (CS), sandy soil (SS) and organic soil (OS) subjected to dry-wet cycles of damage were studied in this work. The unconfined compressive strength (UCS) of the SBM solidified soil was tested to evaluate the mechanical properties of the solidified soil. Scanning electron microscopy (SEM) and mercury injection porosimetry (MIP) tests were conducted in order to study the micro-action mechanism. The results demonstrated that the SBM showed wide applicability and good long-term performance. The rate of strength increase of the SBM solidified soil during the long-term curing period was found to be dependent on soil characteristics. All the types of SBM solidified soils exhibited increased UCS during the first 10 cycles of the D-W. As the number of D-W cycles increased from 10 to 50, the UCS loss rate for CS reached 78%, with OS experiencing the least at 58%. The structure of SBM solidified soil exhibited softening and weakened resistance to deformation with each additional D-W cycle. The types of hydration products were consistent across all three soil types. The quantity of hydration products was influenced by the characteristics of the soil, which also contributed to the deterioration of damage resistance in D-W cycles. The number of pores within the SBM solidified soil increased with the number of D-W cycles (>10 cycles), resulting in a deterioration of the compact structure.