bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clustering the Concentrations of PM10 and O3: Application of Spatio-temporal Model-based Clustering
Authors: saeipourdizaj parisa , musavi saeed , Gholampour Akbar , sarbakhsh parvin 
Published: March 2021

Abstract
Air pollution data are large-scale dataset which can be analyzed in low scales by clustering to recognize the pattern of pollution and have simpler and more comprehensible interpretation. So, this study aims to cluster the days of year 2017 according to the hourly O3 and PM10 amounts collected from four stations of Tabriz by using spatio-temporal mixture model-based clustering (STMC). Besides, mixture model-based clustering with temporal dimension (TMC) and mixture model-based clustering without considering spatio-temporal dimensions (MC) were utilized to compare with STMC. To evaluate the efficiency of these three models and obtain the optimal number of clusters in each model, BIC and ICL criteria were used. According to BIC and ICL, STMC outperforms TMC and MC. Three clusters for O3 and four clusters for PM10 were selected as the optimal number of clusters to fit STMC models. Regarding PM10, the average concentration was the highest in cluster 4. Regarding O3, all summer days were in cluster 3 and the average concentration of this cluster was the highest. Cluster 2 had the lowest concentration with a high difference from clusters 1 and 3 and its average temperature was the lowest. Autumn days make up about 84% of this cluster. The clustering of polluted and clean days into separate groups and observing the effect of meteorological factors on the amount of concentration in each cluster clearly prove the efficiency of the model. Results of STMC showed that efficiency of clustering in air pollution data increases by considering both spatio-temporal dimensions.
Performance Evaluation of Quality of Service (QoS) based Web Service Selection Methods for Healthcare Product Shopping Domain Using Analysis of Variance (ANOVA)
Authors: S Maheswari , R Pitchai , P Supraja , S Babu 
Published: March 2021

Abstract
Guaranteeing Quality of Service (QoS) concerning web administrations is the capacity to respond to the necessities and comprehend the prerequisites according to the tendencies of a client. It is resolved subject to the non-practical properties of the web administrations. Dependent upon the conditions, administrations clients may have an extent of tendencies for the non utilitarian principles. This made a way for different QoS based web administrations assurance segments which along these lines require an evaluation plot for grasping a particular methodology. Investigation of change is a particular kind of verifiable hypothesis testing used for making decisions using data. The goal of the paper is to dismember the plans specifically Analytical Hierarchical preparing (AHP), Logical Scoring Preference (LSP) and Fuzzy Topsis reliant on extent of customer tendency norms and investigate them using Analysis of Variance (ANOVA). QWS dataset has been used for exploring recently referenced three plans. Preliminary outcomes show that the Fuzzy Topsis contrive beats the other web organization assurance techniques.
Complexity Behaviors of Volatility Dynamics for Stochastic Potts Financial Model
Authors: Wang Jie 
Published: March 2021

Abstract
To investigate the price fluctuation mechanism of stock markets, this research aims to develop a novel stochastic financial model based on Potts dynamics and compound Poisson process. The new model considers two aspects: information interaction among traders and the uncertain events outside the system. Then, three different volatility statistics (return series $r_t$, absolute return series $|r_t|$ and volatility duration average intensity $V_t$) are introduced to explore the volatility and complexity properties of the proposed model. The descriptive statistical methods, power-law analysis are studied to validate the practicable of the proposed stochastic financial model. The Permutation Lempel-Ziv complexity of moving average series are referred to different volatility sequences to evaluate the complexity of the simulative data from proposed model and the real data from stock market. Moreover, the complexity analysis of Fractional sample entropy and Multiscale fractional sample entropy method are improved to illustrate the complexity of volatility behaviors in different scales. Compared with the real stock data, the empirical results demonstrate that the new model could reproduce the fluctuation and volatility behaviors of real stock markets to some extent.
Process-Based Indicators for Timely Identification of Apricot Frost Disaster on the Warm Temperate Zone, China
Authors: Jianying Yang , Huo Zhiguo , Wang Peijuan , Dingrong Wu , Ma Yuping 
Published: March 2021

Abstract
Frequent occurrences of extreme cold weather processes create severe agricultural/forest frost events, even given the background of global warming. In the warm temperate zone of China, which is the largest planting area for fresh apricot, late spring frost disaster has become one of the major meteorological hazards during flowering. To prevent cold weather-induced apricot frost events and reduce potential losses in related fruit economic value, it is vital to establish a meteorological indicator for timely and accurate identification of cold weather process-based apricot frost events, to provide support for timely apricot frost monitoring and warning in late spring. In this study, daily minimax temperature (Tmin) and apricot frost disaster data during flowering were combined to establish meteorological identification indicators of apricot frost based on cold weather processes. A process-based apricot frost model (f(D,Tcum) was firstly constructed, and characteristics of (Tcum) (accumulated harmful temperature) were explored under different D (duration days) based on the representation of historical apricot frost processes. Thresholds for the (Tcum) for apricot frost in 1, 2, 3, 4 and more than 5 days of apricot frost process were determined as -1.51, -2.92, -4.39, -5.84 and − 7.31°C, respectively. Validation results by reserved independent disaster samples were generally consistent with the historical records of apricot frost disasters, with 89.00% accuracy for indicator-based identification results. Typical process tracking of the proposed identification indicator to an apricot frost event that occurred in North Hebei during April 3–9, 2018 revealed that the indicator-based identification result basically coincides with the historical disaster record and can reflect more detailed information about the apricot frost process.
A new model for settling velocity of non-spherical particles
Authors: Yang Fan , Zeng Yuhong , Huai Wen-Xin 
Published: March 2021

Abstract
The settlement of non-spherical particles, such as propagules of plants and natural sediments, are commonly observed in riverine ecosystems. The settling process is influenced by both particle properties (size, density and shape) and fluid properties (density and viscosity). Therefore, the drag law of non-spherical particles is a function of both particle Reynolds number and particle shape. Herein, a total of 828 settling data are collected from the literatures, which cover a wide range of particle Reynolds number (0.008–10000). To characterize the influence of particle shapes, sphericity is adopted as the general shape factor, which varies from 0.421 to 1.0. By comparing the measured drag with the standard drag curve of spheres, we modify the spherical drag law with three shape-dependent functions to develop a new drag law for non-spherical particles. Combined with an iterative procedure, a new model is thus obtained to predict the settling velocity of non-spherical particles of various shapes and materials. Further applications in hydrochorous propagule dispersal and sediment transport are projected based on deeper understanding of the settling process.
Fairness analysis and compensation strategy in the Triangle of Central China driven by water-carbon-ecological footprints
Authors: Chen Yizhong , Lu Hongwei , Li Jing , Qiao Youfeng , Yan Pengdong , Ren Lixia , Xia Jun 
Published: March 2021

Abstract
This study proposes water–carbon–ecological footprints to form footprint family indicators for identifying the ecological compensation and regional development equilibrium in the Triangle of Central China (TOCC). The occupation of natural capital stock and flow consumption can be illustrated through a three-dimensional ecological footprint model, and Gini coefficient is integrated into the evaluation framework for fairness measurement from various aspects. Quantificational ecological compensation standards can be given with concerns of ecological resource conversion efficiency and willingness to pay indicators. Results reveal that there exit rising trends in ecological and carbon footprints in the TOCC from 2000 to 2015, while its water footprint presents a fluctuating trend. A majority of average Gini coefficients exceed the warning value (i.e., 0.4) under different footprints, implying a relatively poor overall fairness of regional development. In terms of water footprint, the relatively higher compensation expenses exist in Jingmen, Xiangtan, and Yichun, while Yichang, Zhuzhou, and Fuzhou have higher received compensation values as compared with other cities. When it comes to carbon footprint, Wuhan, Loudi, and Xinyu should pay higher compensation expenses due to their overuse of biological resources. The highest amounts of compensation expense appear in Nanchang and Wuhan from the perspective of ecological footprint.
A Low Leakage 9T SRAM Cell With Improve Stability in Sub-Threshold Region for IoT Applications
Authors: Kumar Harekrishna , Tomar V.K 
Published: March 2021

Abstract
This paper presents a single-ended read and differential write half select free 9T static random access memory (SRAM) cell operates in the sub-threshold region. Proposed 9T SRAM cell shows a reasonable reduction in read and write power dissipation by a factor of 1.41× and 2.1× respectively as of conventional 6T (Conv.6T) SRAM cell. The stacking of transistors at core latch network minimizes the leakage power of the cell. The read static noise margin (RSNM) and write margin (WM) are upgraded by 2.16× and 2.06× respectively as of Conv.6T cell. A forward body bias technique is utilized in read path which results to decreases in read access time by a factor of 2.72× as of standard 6T SRAM cell. The mean value of Ion/Ioff ratio of the proposed cell is improved by 2.92× as compared to the Conv.6T SRAM cell. It is attributed to a reduction in bit-line leakage current. To achieve more soundness in characteristics of the proposed 9T SRAM cell, process variation effect on RSNM, power dissipation, and read current is calculated through Monte Carlo (MC) simulation at 5000 points. The obtained results are compared with reference SRAM cells at 0.3V supply voltage.
Climate and Health Concerns of Montana’s Public and Environmental Health Professionals: a Cross-Sectional Study
Authors: Byron Lori Griffin , Akerlof Karen L. 
Published: March 2021

Abstract
Background: Rural health professionals stand at the forefront of community response to climate change, but few studies have assessed their perceptions of the threat. Further, no previous study has compared the opinions of environmental to public health professionals or extensively analyzed the factors related to these experts’ climate beliefs, risk perceptions, and injunctive norms. Methods: In conjunction with the Montana Climate Assessment’s 2021 Special Report on Climate Change and Human Health, the 479 members of the Montana Public Health Association and Montana Environmental Health Association were surveyed during September-October 2019, with 39% completing the survey. We summarized descriptive data about their perceptions of local climate-related changes, and their levels of belief that global warming is happening, is mostly human-caused, is a risk to human health, and that their offices and others should take action. We also evaluated which sociodemographic and risk perception factors related to these climate beliefs, risk perceptions, and injunctive norms. Results: Health professionals in Montana, a politically conservative state, demonstrated high levels of awareness that global warming is happening, human-caused, and a threat to human health, well above reported rates of public concern. Eighty-eight percent said that global warming is occurring and 69% that it is mostly anthropogenic. Sixty-nine percent said that their own health was already affected by climate, and 86% said they were already seeing at least one climate change-related event in their communities. Seventy-two percent said that their departments should be preparing to deal with climate change’s health effects, but just 30% said that it is currently happening. We found no statistically significant differences between Montana environmental health and public health professionals in regression models predicting climate beliefs, risk perception, and injunctive norms. As in studies of the public, political ideology and the observation of local climate-related changes were the strongest factors.Conclusions: Montana environmental and public health officials said that departmental action was needed on climate change, indicating the readiness of rural health professionals to take action. Further studies of health professionals in rural regions are warranted.
Hydrochemical characteristics and influencing factors of mine water in Tangjiahui mining area
Authors: Shidong Wang , Hongwei Tang , Zhibin Yang , Ji Liu , Hongjun Zhu , Feng Xu , Kaipeng Zhu , Juan Fan , Gang Fang 
Published: March 2021

Abstract
In water-deficient areas, the reuse of water discharged from coal mining is highly desirable. In order to study the water quality in the Tangjiahui mining area in Jungar Coalfield (Inner Mongolia, China), 34 groups of mine water samples collected at various stages during coal mining process were analyzed for their hydrochemical characteristics using conventional and statistical methods. A Piper trilinear diagram was used to analyze the main ion composition characteristics and the hydrochemical type of the mine water. Gibbs map and ion correlation methods were used to investigate the sources and influencing factors of the main ions in mine water. The results showed that the TH of the mine water in the study area was in the range of 219.52–390.6 mg/L with an average of 315.04 mg/L, which can be classified as slightly hard/ hard water. The TDS was in the range of 926.61–1889.56 mg/L with an average of 1514.31 mg/L, which mostly belongs to brackish water. The cation content in the mine water was ranked from the highest to the lowest as Na + > Ca 2+ > Mg 2+ , while the anion content was ranked as Cl − > HCO 3 − > SO 4 2− . The Na + mass concentration was in the range of 179.00–523.06 mg/L with an average of 399.77 mg/L, while the Cl − mass concentration was in the range of 207.10–812.63 mg/L with an average of 550.88 mg/L. The hydrochemical type of the mine water was Cl-Na. According to the correlation matrix of the various chemical indicators in the mine water, the TDS was significantly positively correlated with Na + , Ca 2+ , Cl − , and SO 4 2− . Of these, the main sources of TDS were Na + and Cl − , as these had correlation coefficients > 0.9. The hydrochemical characteristics of the mine water were mainly controlled by the condensation-crystallization and anti-cation exchange, which indicated the main ions were largely derived from the dissolution of halite . Due to its high TDS, EC,SAR, and Na% values, the mine water in the study area was not suitable for human consumption and agricultural irrigation. These results can provide a reference towards water resource management and the sustainable use of mine water by local governments.
Cr(VI) and Cr(III) Release From Different Layers of Cast Iron Corrosion Scales in Drinking Water Distribution Systems: The Impact of pH, Temperature, Sulfate, and Chloride
Authors: Tian Yimei , Yu Tiantian , Shen Jingyi , Zheng Guolei , Li Han , zhao weigao 
Published: March 2021

Abstract
Chromium accumulated from source water and pipeline lining materials in corrosion scales could potentially be released into bulk water in drinking water distribution systems (DWDS). Chromium behaviors between corrosion scale phase and the surrounding water phase vary spatially in different layers and temporally in different DWDS running periods. In this study, corrosion scales sampled from actual DWDS were first characterized by SEM, XRD, XRF, and the modified BCR three-step sequential extraction procedure. Then scales were divided into the outer and inner layers for subsequent analysis. Static accumulation and release experiments were performed with Cr(VI) and Cr(III) on two distinct scale layers to systematically assess the influence of pH, temperature, sulfate, and chloride. The release behaviors of Cr(VI) under the co-effect of multiple factors were investigated in orthogonal experiments. Results showed that in the outer and inner layers of corrosion scales, chromium exhibited differences in accumulation and release behaviors, with the outer layer accumulating less and releasing more. The mechanisms of chromium retention based on different iron (oxyhydr)oxides were discussed.
An Effective Model of Endogenous Clocks and External Stimuli Determining Ciradian Rhythms
Authors: Breitenbach Tim , Helfrich-Förster Charlotte , Dandekar Thomas 
Published: March 2021

Abstract
Circadian endogenous clocks of eukaryotic organisms are an established and rapidly developing research field. To investigate and simulate in an effective model the effect of external stimuli on such clocks and their components we developed a software framework for download and simulation. The application is useful to understand the different involved effects in a mathematical simple and effective model. This concerns the effects of Zeitgebers, feedback loops and further modifying components. We start from a known mathematical oscillator model, which is based on experimental molecular findings. This is extended with an effective framework that includes the impact of external stimuli on the circadian oscillations including high dose pharmacological treatment. The external stimuli framework defines a systematic procedure by input-output-interfaces to couple different oscillators. With a similar idea the issue of singularity points of circadian clocks is modeled and related to different model approaches. Tables explain modifications for specific organisms and by different modules. The mathematical framework and formalism is generic and allows to study in general the effect of external stimuli on oscillators and other biological processes. For an easy replication of each numerical experiment presented in this work and an easy implementation of the framework the corresponding Mathematica files are fully made available. They can be downloaded at the following link: https://www.biozentrum.uni-wuerzburg.de/bioinfo/computing/circadian/.
Support Received by Family Members Before, at and After an Ill Person’s Death
Authors: O´Sullivan Anna , Alvariza Anette , Öhlén Joakim , Larsdotter Cecilia 
Published: March 2021

Abstract
Background: It is widely recognised, that family members are central to care of people with advanced illness, and that support should be provided to all family members in need thereof. The aim of this study was to investigate family members’ experiences of support received during the last three months of life, at the time of death and after the death of a person with advanced illness. Methods: A retrospective cross-sectional survey design was employed, using the VOICES(SF) questionnaire and multiple methods for data analyses. The sample consisted of 485 bereaved family members (aged: 20-90 years old, 70% women) of people who died in hospital between August 2016-April 2017.Results: Of the family members, 58,8% reported they had received enough help and support during the illness, whereas 30,2% had not. Family members’ comments about support during the illness were mainly related to care the ill person had or had not received, rather than about support they themselves received. Of all family members, 52,8% reported having had enough support at the time of the ill person’s death. Related to support at death, 14,6% reported that the imminence of death was not clear, which was described as having affected their opportunity to be with the dying person at the time of death. Of all, 25,2% had a follow-up conversation after the death, 48% did not and did not want to, and 21% had no follow-up conversation, but would have liked one. A follow-up conversation was described as helpful for the bereavement process, and disappointment was expressed when not receiving support after the death. Conclusions: Family members’ experiences of support were partly related to whether the ill person’s care needs were fulfilled. Healthcare staff expressing empathy and respect in the care of dying people and their family members were important for family members’ experiences of support. Family members’ difficulty recognising that death was imminent and the importance of healthcare staff providing them with clear information were expressed in connection with support at death. Follow-up conversations were valued by family members, especially if with a healthcare professional who was present at the time of death.
Novel Hybrid Architecture of Infotainment for Streaming Signals in Vehicular Network
Authors: S Reshma , Prakash Chetana , Rafi Mohamed 
Published: March 2021

Abstract
Infotainment system is meant for offering integrated services of information and entertainment to the driver to offer a better driving experience. However, the infotainment system's present state is more towards entertainment and less towards accessing real-time information propagation for avoiding the occurrences of road fatalities. In this regard, the streaming of multimedia signals would increase communication to enhance driving experiences. The infotainment system is one integral part of vehicular communication for road safety; however, it has received less attention. Existing approaches towards data transmission among vehicles are studied concerning three standard architectures. A hybrid approach is far better than the infrastructure-based and ad-hoc-based approaches. Still, there are open-end loopholes towards hybrid architectures where reliability in the data dissemination process in the presence of dynamic topology of vehicular nodes is not considered. Therefore, the proposed study introduces a novel analytical model where the vehicles' streaming services can be offered by improvising the existing hybrid architecture. With a unique inclusion of link-quality-based attributes towards making a precise decision of the vehicles' mobility, the proposed system formulates error-free links among the communicating vehicles. The simulated study outcome shows that the proposed system offers better streaming performance than existing hybrid schemes.