bluuebunny/crossref_metadata_2025_split huggingface dataset:
Monitoring Droughts in the Vu Gia-Thu Bon River Basin Using the Cloud-Based Google Earth Engine
Authors: An Nguyen Van , Tuong Nguyen Thanh , Hanh Le Ngoc , An Tran Thi 
Published: April 2023

Abstract
This study implemented an index-based approach to monitor drought in the Vu Gia – Thu Bon river basin using remote sensing data and Google Earth Engine (GEE) cloud computing services. Landsat’s time-series remote sensing data are effectively used to calculate various drought indices. In this investigation, we evaluated the performance of various remote sensing-based drought indices (RSDI) utilizing the cloud-based Google Earth Engine (GEE) computing platform. Results indicated that there was a significant correlation between RSDI and the in-situ Potential Evapotranspiration (PET) and the soil temperature. The empirical results of this study demonstrated the possible utility of remote sensing data in drought monitoring for data-scarce regions.
Assessment and zoning of self-cleaning ability of urban inner canal group in Ho Chi Minh City
Authors: Hung Bui Viet , Diep Nguyen Ngoc , Ngan Tran Kim , Nam Nguyen Thanh 
Published: April 2023

Abstract
The rapid urbanization of Ho Chi Minh City (HCMC) is a huge pressure upon the surface water quality as well as its self-cleaning capacity. Every day, a large amount of domestic wastewater is discharged directly into the canal system with concentrations of toxic pollutant components. The assessment of the quality and self-cleaning capacity of canal water by the oxy declining process is a basic foundation for the planning and management of waste water drainage and treatment system in the City. With the application of oxy declining and osmotic experiential coefficient formulas into the oxidation process equation (Streeter-Phelpse), the self-cleaning capacity are determined and classified at any time and positions. The self-cleaning capacity depended on the hydraulic and quality condition of canals. The research of self-cleaning capacity is implemented for urban inner canal system of HCMC in the period 2012 – 2021. Based on the assessment’s results, the distribution of self-cleaning capacity levels is mapped to analyse the changes and zone. The zoning maps expressed suitability the distribution levels of self-cleaning capacity with high visualization. And they are a valuable basis for planning and decision making on the solutions to improve environment quality of the relative management agencies of HCMC.
Applying geographically weighted regression to quantify the impact of impervious surface density on land surface temperature in Ho Chi Minh City, Vietnam
Authors: Nguyen N T , Pham C C , Nguyen T N H 
Published: April 2023

Abstract
Surface characteristics are believed to be the primary factor causing spatial variation in land surface temperature (LST), especially in a large and rapidly growing city like Ho Chi Minh City. The study aims to estimate the spatial relationship between land surface temperature (LST) and impervious surface density (ISA) by using three statistical techniques: 1) Optimized hot spot analysis; 2) Global linear regression (OLS); and 3) Geographically weighted regression (GWR). LST and ISA were extracted from Landsat 8 OLI of 2020. According to the optimized hot spot analysis’s findings, over 80% of the areas of high ISA values (mean ISA: 0.86, SD: 0.13) overlap with areas of high LST values (mean LST: 36.2°C, SD: 2.04°C), with a correlation coefficient of r=0.775. Likewise, Moran’s I index (I=0.82, Z=72, P<0.001) indicates that LST in Ho Chi Minh City has a significantly spatial dependence, so geographically weighted regression (GWR) and global linear (OLS) models need to be taken into account simultaneously. Coefficient of determination R2 and AICc (Akaike information criterion corrected) were used to compare the models. R2 increases from 0.78 to 0.87, whereas AICc decreases from 8047 to 7033 in OLS and GWR, respectively. GWR has a more substantial explanatory power for the association between LST and ISA and offers superior LST prediction accuracy compared to OLS. Potential urban heat island areas can be accurately detected by combining GWR and optimized hot spot analysis.
Development of environmental data for land use regression models to assess fine particulate matter pollution in Ho Chi Minh City
Authors: Cong-Thanh Tran , Tuyen Nguyen Ngoc , Hang Nguyen Thi Thuy 
Published: April 2023

Abstract
Land use regression (LUR) model is a common method for assessing ambient air pollution in metropolis, such as fine particulate matter (PM2.5). The LUR model utilizes PM2.5 concentrations as a dependent variable and traffic, topography, and land use variables..., named as environmental data, as independent variables in multiple linear regression analysis. Currently, the PM2.5 pollution is one of the most concerning environmental issues in Ho Chi Minh City (HCMC). Particularly, in the context of current limited air pollution monitoring resources of the city, the LUR model usage for PM2.5 pollution assessment at the level of the whole city may be a possible solution. However, the environmental data for using in the LUR model in HCMC is not available. Thus, this study was conducted to prepare environmental data for applying in the LUR model in upcoming studies. The study selected potential environmental variables in HCMC and continued to deal with databases selection for developing these environmental variables. The major result of the study is that a database of environmental data in HCMC was developed, including 26 variables categorized into five groups, including (1) Meteorological data, (2) Traffic-related data, (3) Population data, (4) Land use data, and (5) Social-economic data. Moreover, the study established a conceptual framework for environmental data collection. Finally, environmental data of several fixed sites, where PM2.5 concentrations were monitored in our previous studies, was extracted as an illustration.
Analysing impacts of hydropower development on streamflow of Srepok river basin, Vietnam
Authors: Nhi P T T 
Published: April 2023

Abstract
Water resources are increasingly scarce and depleted owing to the effects of local socio-economic development. Hydropower development changes the hydrological regime and the amount of alluvium downstream through the process of reservoir regulation and operation. To evaluate the potential of reservoir effect on river basin flow, we performed a flow assessment in the presence of structures and compared it with control case in which there are no reservoirs. In the Srepok river basin with many hydroelectric power plants built on terraces on rivers. Due to the dense construction surrounding the river, the flow has changed and there have been incidents of hydropower causing damage to crops and households. The results show that, in general, due to the influence of hydroelectric reservoirs, the annual flow is not significantly reduced and the amount of alluvium tends to increase. This research was conducted to provide comprehensive information on hydropower development, and at the same time provide a reliable source of information to help managers make timely and accurate decisions.
New value of old knowledge: sulphur-based GaAs surface passivation and potential GaAs application in molecular electronics and spintronics
Authors: Tyagi Pawan 
Published: April 2023

Abstract
GaAs is well known for its extremely high electron mobility and direct band gap. Owing to the technological advances in silicon-based technology, GaAs has been limited to niche areas. This paper discusses the application of GaAs in molecular electronics and spintronics as a potential field for considering this amazing but challenging material. GaAs is challenging because its surface is characterized by a high density of surface states, which precludes the utilization of this semiconducting material in mainstream devices. Sulfur(S)-based passivation has been found to be significantly useful for reducing the effect of dangling bonds and was researched thoroughly. GaAs applications in molecular spintronics and electronics can benefit significantly from prior knowledge of GaAs and S interactions because S is a popular functional group for bonding molecular device elements with different semiconductors and metals. In this article, the problem associated with the GaAs surface is discussed in a tutorial form. A wide variety of surface passivation methods has been briefly introduced. We attempted to highlight the significant differences in the S-GaAs interactions for different S passivation methods. We also elaborate on the mechanisms and atomic-scale understanding of the variation in surface chemistry and reconstruction due to various S passivation methods. It is envisioned that GaAs and thiol-terminated molecule-based novel devices can exhibit innovative device characteristics and bring the added advantage of S-based passivation.
A novel design of mechanical metamaterial incorporating multiple negative indexes
Authors: Yao Yu , He Ling Hui , Jin Jian Hai , Ding Jun 
Published: April 2023

Abstract
Mechanical metamaterials that combine multiple negative properties are rare, but have great appeal for applications in multipurpose devices. Herein, a novel metamaterial incorporating negative Poisson’s ratio, negative compressibility, and negative thermal expansion or swelling was proposed. The unit cell was designed by simulating the bond structure of lead monoxide crystals using elastic beams. Analytical models for the mechanical responses of the unit cell were established, and expressions for Young’s modulus, thermal expansion, Poisson’s ratio, and compressibility were derived and confirmed by numerical simulations. The results showed that the metamaterial not only displayed a negative Poisson’s ratio but also had negative linear and area compressibilities as well as negative linear, area, and volume thermal expansions if the geometric parameters were properly adjusted. Furthermore, metamaterials with negative linearity and area swelling were obtained experimentally by replacing the thermal expansion of the material with the water absorption expansion of a hydrogel. Such metamaterials with multiple negative indexes are expected to contribute to the feasibility of advanced multifunctional devices with mechanical, pressure, temperature, and moisture sensitivities.
Multilayered logical qubits and synthesized quantum bits
Authors: Jin Ki-Sung , Cha Gyu-Il 
Published: April 2023

Abstract
Quantum error correction is likely to be key in obtaining near term quantum advantage. We propose a novel method for providing multiple logical qubits in the correction of quantum errors using classical computers. The core idea of our work is built upon two main pillars: dividing the Hilbert space into reduced Hilbert spaces with individual logical qubits and synthesizing the reduced Hilbert spaces through a mathematical collaborating between classical bits and logical quantum states. We demonstrate that our method supports at least 20 logical qubits in a surface code with a code distance of 3. Furthermore, we generate entangled states of multiple logical qubits from lattice surgery-based surface codes using only physical qubit operations. This approach enables classical computers to support a larger number of logical qubits using less memory and perform faster simulations.
Policy supports for the deployment of solar fuels: islands as test-beds for a rapid green transition
Authors: Farràs Pau , M Machado Júlia T , Flynn Brendan , Williamson Joshua 
Published: April 2023

Abstract
Coastal areas, particularly islands, are especially vulnerable to climate change due to their geographic and climate conditions. Reaching decarbonisation targets is a long process, which will require radical changes and ‘out of the box’ thinking. In this context, islands have become laboratories for the green transition by providing spaces for exploring possibilities and alternatives. Here we explore how hydrogen (H2) energy technologies can be a critical ally for island production of renewable electricity in part by providing a storage solution. However, given the abundance of sunlight on many islands, we also note the huge potential for a more profound engagement between renewables and hydrogen technologies via the co-generation of ‘green hydrogen’ using solar fuels technology. Solar hydrogen is a clean energy carrier produced by the direct or indirect use of solar irradiation for water-splitting processes such as photovoltaic systems coupled with electrolysers and photoelectrochemical cells. While this technology is fast emerging, we question to what extent sufficient policy support exists for such initiatives and how they could be scaled up. We report on a case study of a pilot H2 plant in the Canary Islands, and we offer recommendations on early-stage policy implications for hydrogen and other solar fuels in an island setting. The paper draws on the literature on islands as policy laboratories and the multi-level perspective on energy transitions. We argue that particular attention needs to be given to discrete issues such as research and planning, and better synchronising between emerging local technology niches, the various regulatory regimes for energy, together with global trends.
Point of care approaches to 3D bioprinting for wound healing applications
Authors: Wallace Eileen R , Yue Zhilian , Dottori Mirella , Wood Fiona M , Fear Mark , Wallace Gordon G , Beirne Stephen 
Published: April 2023

Abstract
In the quest to improve both aesthetic and functional outcomes for patients, the clinical care of full-thickness cutaneous wounds has undergone significant development over the past decade. A shift from replacement to regeneration has prompted the development of skin substitute products, however, inaccurate replication of host tissue properties continues to stand in the way of realising the ultimate goal of scar-free healing. Advances in three-dimensional (3D) bioprinting and biomaterials used for tissue engineering have converged in recent years to present opportunities to progress this field. However, many of the proposed bioprinting strategies for wound healing involve lengthy in-vitro cell culture and construct maturation periods, employ complex deposition technologies, and lack credible point of care (POC) delivery protocols. In-situ bioprinting is an alternative strategy which can combat these challenges. In order to survive the journey to bedside, printing protocols must be curated, and biomaterials/cells selected which facilitate intraoperative delivery. In this review, the current status of in-situ 3D bioprinting systems for wound healing applications is discussed, highlighting the delivery methods employed, biomaterials/cellular components utilised and anticipated translational challenges. We believe that with the growth of collaborative networks between researchers, clinicians, commercial, ethical, and regulatory experts, in-situ 3D bioprinting has the potential to transform POC wound care treatment.
Experimental and numerical study on the influence of flow passages in centrifugal fan using computational fluid dynamics
Authors: Patel Babubhai Viral Kumar , Chaudhari Abhimanyu , Sharma Ashwani , Diwakar Vikas 
Published: April 2023

Abstract
In this work, three actual impeller geometries of identical size, with backward, radial, and forward flow passages in the same volute casing, are experimentally analysed and numerically simulated to understand the flow physics characteristics and the performance mapping under different flowrate conditions. A grid independence test is carried out for the whole computational domain to capture complex flow behaviour inside blades. The three-dimensional numerical analysis is performed under steady flow conditions, and for a rotational domain, a moving reference frame approach (frozen rotor method) is used. The results obtained from experimental and simulated cases for backward, radial, and forward curved centrifugal fans with varying mass flowrates shows that static pressure and total pressure are increased with an increase in rotation speed and the static pressure gradient is higher in forward curved blades than in backward and radial bladed centrifugal fans. A blade’s low and high-pressure regions along the suction and pressure sides are visualised by numerical analysis. The degree of recirculation within blade passages, flow reversal and vortex formation in volute and tongue regions is observed to be different in all three types of flow passages, which clearly describes its influence on the performance characteristics of centrifugal fans.
Long-term potentiation mechanism of biological postsynaptic activity in neuro-inspired halide perovskite memristors
Authors: Hernández-Balaguera Enrique , Munoz-Díaz Laura , Bou Agustín , Romero Beatriz , Ilyassov Baurzhan , Guerrero Antonio , Bisquert Juan 
Published: April 2023

Abstract
Perovskite memristors have emerged as leading contenders in brain-inspired neuromorphic electronics. Although these devices have been shown to accurately reproduce synaptic dynamics, they pose challenges for in-depth understanding of the underlying nonlinear phenomena. Potentiation effects on the electrical conductance of memristive devices have attracted increasing attention from the emerging neuromorphic community, demanding adequate interpretation. Here, we propose a detailed interpretation of the temporal dynamics of potentiation based on nonlinear electrical circuits that can be validated by impedance spectroscopy. The fundamental observation is that the current in a capacitor decreases with time; conversely, for an inductor, it increases with time. There is no electromagnetic effect in a halide perovskite memristor, but ionic-electronic coupling creates a chemical inductor effect that lies behind the potentiation property. Therefore, we show that beyond negative transients, the accumulation of mobile ions and the eventual penetration into the charge-transport layers constitute a bioelectrical memory feature that is the key to long-term synaptic enhancement. A quantitative dynamical electrical model formed by nonlinear differential equations explains the memory-based ionic effects to inductive phenomena associated with the slow and delayed currents, invisible during the ‘off mode’ of the presynaptic spike-based stimuli. Our work opens a new pathway for the rational development of material mimesis of neural communications across synapses, particularly the learning and memory functions in the human brain, through a Hodgkin–Huxley-style biophysical model.
Temporal and spatial variability of energy intensity for atmospheric water generators
Authors: Brenes Anthony T , Chini Christopher M 
Published: April 2023

Abstract
Atmospheric water generators (AWGs) produce potable water from the moisture in the air, providing a potentially viable water source in austere locations or emergency response scenarios. In this study, the operating constraints of three existing commercially available AWG devices are investigated, compared to historical weather data from across the continental United States. Utilizing linear regression modeling and weather station data for the years of 1985–2019, the monthly and spatial trends of energy demand to produce water from these devices are estimated. Energy and water production efficiencies for the devices are highly dependent on environmental conditions with relative humidity (RH) and temperature as the two driving factors. Publicly available manufacturer specifications for each AWG system were modeled to predict yield and specific energy consumption (SEC). A spatial analysis depicts the change in SEC in kilowatt-hours per liter (kWh l−1) across the country at a monthly scale. SEC for refrigeration AWG ranged between 0.02 and 3.64 kWh l−1 and solar driven sorption was between 3.19 and 5.29 kWh l−1, significantly larger than conventional water treatment energy demands. Additionally, the results are synthesized based on the Köppen–Geiger climate classification system, to approximate projected water production and energy demand for each environment, with arid climates demanding larger energy consumption per unit volume of water produced. Excluding arid and cold climate classes, solar powered refrigeration devices have the potential to operate more efficiently than solar driven sorption due to advances in photovoltaic solar panel technology, but still require more energy than alternatives.
Which Intervention Strategies Promote the Adoption and Maintenance of Physical Activity? Evidence From Behavioral Trials With Cancer Survivors
Authors: Sheeran Paschal , Wright Charles E , Listrom Olivia , Klein William M P , Rothman Alexander J 
Published: April 2023

Abstract

Background/Purpose
We address four questions about interventions to promote physical activity in cancer survivors: (a) How often is both the adoption and maintenance of behavior change tested in trials? (b) How often do interventions generate adoption-plus-maintenance of behavior change? (c) Are intervention strategies specifically geared at promoting maintenance of behavior change deployed in trials? and (d) Which intervention strategies distinguish trials that promote both the adoption and maintenance of physical activity from trials that promote adoption-only or generate no behavioral changes?

Methods
Computerized literature searches identified 206 reports of randomized trials that measured physical activity in the wake of the intervention.

Results
Only 51 reports (24%) measured both behavioral adoption (postintervention) and behavioral maintenance (≥3 months follow-up). The 51 reports included 58 tests of interventions; 22% of tests observed both adoption and maintenance of physical activity, 26% reported adoption-only, and 52% found no change in behavior. Change techniques designed to promote behavioral maintenance were used much less frequently than adoption techniques or adoption and maintenance techniques. Interventions that aimed to improve quality of life, used supervised exercise sessions, were undertaken in community centers, and deployed fewer behavior change techniques were associated with adoption-plus-maintenance of physical activity in cancer survivors.

Conclusions
The present findings offer new insights into the adoption and maintenance of physical activity and highlight the need to routinely assess these forms of behavior change in future trials. More extensive testing of intervention strategies specifically geared at maintenance of behavior change is warranted.