bluuebunny/crossref_metadata_2025_split huggingface dataset:
Climate policy and wealth distribution
Authors: Thang Dao Nguyen 
Published: June 2021

Abstract
We set up a model with inter-generational bequest transfers and a climate damage on the wealth of heterogeneous households. We show that, under the imperfections of credit markets and depending on the wealth distribution across households, a balanced budget climate policy may widen the wealth inequality between the rich and the poor class. A climate policy may create positive effects on the wealth of households but these effects are asymmetric across households in terms of both magnitudes and the transmissions of the gains from climate policy within households. The poor's gains from the climate policy are mainly transmitted into improving the living standard and then to invest in human capital because of the higher marginal return to education investment. In contrary, the rich's gains from the climate policy are transmitted biasedly into physical capital accumulation and enhance their monopoly position in producing intermediate inputs. We show that, for any climate policy, there exists a corresponding threshold of aggregate physical capital. When the aggregate physical capital of the economy exceeds this threshold then the corresponding climate policy may widen the inter-generational bequest transfers among heterogeneous households, therefore, contributing enlarge the wealth gap between the rich and the poor class in the long run.
Forest Structure and Anthropogenic Disturbances Regulate Plant Invasion in Urban Forests
Authors: Aryal Prakash Chandra , Aryal Chandramani , Bhusal Kiran , Chapagain Devendra , Dhamala Man Kumar , Maharjan Sanu Raja , Chhetri Parveen K 
Published: June 2021

Abstract
Urban forest ecosystems, the structure and functions therein, are subjected to anthropogenic disturbances. Native and sensitive species from those forests might be lost due to such disturbances. At the same time, supplemented anthropogenic resources might create opportunities for exotic and invasive species. Although, invasive species are considered as one of the major threats to the urban biodiversity and ecosystems, the researches on invasion dynamics in the Himalayas have mostly focused on the impacts of invasion on forest structure and productivity. This study aims to understand the influence of forest structure and anthropogenic factors in invasion success that are poorly covered in the existing literature. We selected 11 urban forest patches for the study considering the presence-absence of selected invasive species and structural attributes. We used Principal Component Analysis (PCA) to reduce co-linearity in the covariates and generalized linear mixed effects model (GLMM) to identify the factors affecting the invasion success. We found that the structural attributes of the forests and anthropogenic disturbances regulated invasion success in urban forests. This implies that maintaining urban forest structural attributes, especially maintaining the stands with large-sized trees, are essential to regulate and control invasion in the context of urbanization.
Past and Present Subjective Wellbeing: The Role of Contrast and Memory
Authors: Kollamparambil Umakrishnan 
Published: June 2021

Abstract
This study is an attempt to analyse the interrelationships between current, past and expected future subjective wellbeing (SWB) through the intermediating role of memory using the National Income Dynamics Study panel dataset for South Africa. The contribution of this study is in exploring the role of contrast (inter-temporal and social) in determining; a) the current levels of SWB and, b) the drivers of recall bias; within a causal framework in the context of a country with low average SWB and high SWB inequality. The results indicate significant presence of hedonic adaptation and reveals past and future contrast as important correlates of current subjective wellbeing. In addition, a perceived improvement in current happiness from the past, is associated with higher levels of current SWB, highlighting the intermediating role of memory. Memory, however, is observed to be biased with only 42% accuracy. Higher levels of current subjective wellbeing are found to enhance the probability of correct recall of past. An overall improvement bias is evident among those in the lower segment of the SWB distribution. The results reinforce the hypothesized simultaneous relationships between current SWB, inter-temporal contrast, and recall behaviour. Further the differences in our findings from European studies emphasise the relevance of context in driving these relationships.
Effect of Copper pretreatment on optical and electrical properties of camphor based graphene by chemical vapour deposition
Authors: Chaliyawala Harsh , Narasimman R. , Pati Ranjan K. , Mukhopadhyay Indrajit , Ray Abhijit 
Published: June 2021

Abstract
Polycrystalline copper (Cu) foil is widely used as catalytic substrate for graphene growth in chemical vapor deposition (CVD) technique. The surface properties of the Cu foil strongly affect the growth behavior and final quality of CVD-grown graphene. The effect of pretreatment of Cu foil using four different solutions (acetone, acetic acid, HCl and HNO3) on the graphene growth held in atmospheric pressure CVD and its subsequent impact on electrical and optical properties are investigated. Natural camphor is used as the solid carbon precursor. The surface characteristics before and after the growth are studied using scanning electron microscopy and atomic force microscopy. The pretreatment conditions of Cu and the growth of graphene from camphor were correlated using Raman spectroscopy, optical and electrical characteristics. Our findings suggest that HCl pretreated Cu foil exhibited large-domain, uniform coverage of the transferred graphene with excellent optical (> 93% at 550 nm) and electrical properties (sheet resistance of 861 ± 40 ohm/sq), with promisingly low RMS value of roughness (38 nm). The pretreatment process improved the quality of graphene by removing the surface impurity particles and surface native oxides. A Schottky junction diode of graphene/n-silicon is fabricated by transferring the graphene to SiO2/Si substrate under dark and illuminated conditions is also demonstrated to establish its potential in micro- and opto-electronics.
Clinical Utility of Oral Management in Allogeneic Hematopoietic Stem Cell Transplantation Recipients: Microbiological Evidence Based on Molecular Analysis of Oral Bacteria
Authors: Kawajiri Jumpei , Nagata Kokoro , Nakamura Akiko , Fujieda Atsushi , Ino Kazuko , Nomura Jouji , Arai Naoya , Ohishi Kohshi , Katayama Naoyuki , Nakase Kazunori 
Published: June 2021

Abstract
Purpose: This study aimed to clarify the clinical utility of oral management to prevent bloodstream infections by oral bacteria microbiologically in patients undergoing allogeneic hematopoietic stem cell transplantation (ASCT). Methods: Ten consecutive patients with hematological malignancies undergoing ASCT were enrolled in this study. We implemented dental treatments before transplantation, if required, and carried out oral hygiene instructions and oral management every other day after transplantation. Molecular analysis of bacterial DNA for seven oral species using a polymerase chain reaction (PCR) assay was performed for oral samples and peripheral blood once a week for 3 weeks after transplantation. Results: Periodontitis was found in all 10 patients (mild grade in 3 and middle grade in 7) for whom basic periodontal therapy was conducted. Necessary dental procedures, including tooth extraction of the tooth were performed in 5 patients. After transplantation, oral mucositis occurred in 10 patients (grade 1 in 3, grade 2 in 2, and grade 3 in 5) for whom oral hygiene instruction and oral care were continued every other day. PCR-identified three to six bacterial species in oral samples from nine patients, but none in peripheral blood from any patient during the observation period. Conclusions: Oral management prevented blood stream infections by oral bacteria in ASCT recipients despite the existence of periodontitis or oral mucositis. Its utility was confirmed by microbiological evidence based on molecular data.
Neuroanatomical correlates of poststroke complex regional pain syndrome: A voxel-based lesion symptom- mapping study
Authors: Lee Jae-Ik , Kwon Soon-Woo , Lee Ahry , Tae Woo-suk , Pyun Sung-Bom 
Published: June 2021

Abstract
Complex regional pain syndrome (CRPS) is a common poststroke complication. However, the neural substrates associated with CRPS remain unclear. We investigated the neural correlates associated with poststroke CRPS using voxel-based lesion‒symptom mapping (VLSM) analysis. Among 145 patients with ischemic stroke, 35 were diagnosed with CRPS and categorized into the poststroke CRPS group, and the remaining 110 into the control group. We compared the clinical characteristics between the groups. VLSM analysis was performed to identify the brain region associated with the development of poststroke CRPS. It suggested that damage to the caudate nucleus head, putamen, and white matter complexes in the corona radiata were significantly associated with poststroke CRPS development. The clinical findings suggested that the poststroke CRPS group had lower muscle strength; lower scores on Fugl‒Meyer assessment, Manual Function Test, Mini-Mental Status Examination; and higher incidence of absent somatosensory evoked potentials in the median nerve than the control group. The head of the caudate nucleus, putamen, and white matter complexes in the corona radiata were associated with poststroke CRPS development in ischemic stroke patients. These results facilitate an understanding of poststroke CRPS pathophysiology. Monitoring patients with lesions in these structures may aid the prevention and early treatment of poststroke CRPS.
An Effective Linear Precoding Scheme to Resolve High PAPR and High OOBE Problems of OFDM systems
Authors: Kawasaki Hikaru , Matsumura Takeshi , Kojima Fumihide 
Published: June 2021

Abstract
In the fifth-generation of mobile communications, the use of orthogonal frequency-division multiplexing is agreed by the Third Partnership Project as it was in the fourth-generation. On the other hand, the major problems of its transmitted signals are high out-of-band emission (OOBE) that causes strong interference to adjacent frequency bands and high peak power characteristics that limit device costs and power savings. For future communications, this paper proposes an effective method to resolve the problems based on linear precoding with the theoretical analyses. Numerical experiments show that compared with the usual OFDM, the proposed method can achieve 25 dB lower OOBE, 2 dB lower peak power, no error rate degradation with a practical computational complexity simultaneously.
Bibliometric analysis of global research on white rot fungi biotechnology for environmental application
Authors: Xiao Pengfei , Wu Dedong , Wang Jianqiao 
Published: June 2021

Abstract
In recent years, white rot fungi (WRF) have received tremendous attention as a biotechnological tool for environmental pollution control. Although there are a large number of research articles and reviews concerning WRF biotechnology in environmental application, to our knowledge no bibliometric research of this topic has been published. This study used bibliometric method to evaluated 3962 related publications collected from Web of Science Core Collection database published between 2003 and 2020. The results indicated that China was the most productive country, while the USA is the most active country in international cooperation. The closest international collaborative networks were evidenced between the USA and China. Most authors tend to cooperate within a small group, which leads to the lack of effective cooperation among different groups. The most prominent journals in this field were “International Biodeterioration & Biodegradation” and “Bioresource Technology”, and “Biotechnology Applied Microbiology” was the most popular subject category. The analysis of high-frequency keywords revealed that “laccase”, “biodegradation”, “decolorization” and “Phanerochaete chrysosporium” were the most cited terms among all publications, and that the hottest topics focus on pretreatment of biomass waste by WRF, decolorization of dye wastewater by WRF, and bioremediation of polluted environment by WRF, etc. Finally, the frontier topics and active authors in this research field were identified using burst detection. This bibliometric study promoted the future cooperative research and knowledge exchange by visualizing the recent developments and future trends in WRF biotechnology for environmental applications.
Hybrid Decoder with an Adaptive Fuzzy Logic Filter for Single-User Millimeter Wave Systems Under Impulsive Noise
Authors: Mulla Mustafa , Rizaner Ahmet , Ulusoy Ali Hakan 
Published: June 2021

Abstract
The conventional millimeter wave systems are mostly designed to operate only for the Gaussian noise model. Although this model simplifies the noise removal problem, recent research findings state that a mixture noise model with additive impulsive noise is a more realistic approximation for millimeter wave channels. In this paper, we propose a novel approach to eliminate the impulsive noise effects on single-user millimeter wave massive multiple-input-multiple-output system using an adaptive fuzzy logic filter. Hence, a fuzzy median filter is applied to the system and it is aimed to minimize the effects of the impulsive noise by ordering samples based on fuzzy rank. Simulation results show that the proposed filter successfully eliminates the impulsive noise effects and achieves a better bit error rate and spectral efficiency performance than the competing methods in the literature while also working efficiently in Gaussian noise.
Pipe Break Rate Assessment While Considering Physical and Operational Factors: A Methodology Based on Global Positioning System and Data Driven Techniques
Authors: Amiri-Ardakani Yaser , Najafzadeh Mohammad 
Published: June 2021

Abstract
Deterioration of urban Water Distribution Networks (WDNs) is one of the primary cases of water supply losses, leading to the huge expenditures on the replacement and rehabilitation of elements WDNs. An accurate prediction of pipes failure rate play a substantial role in the management of WDNs. In this study, a field study was conducted to register pipes break and relevant causes in the WDN of Yazd City, Iran. In this way, 851 water pipes were incepted and localized by the Global Positioning System (GPS) apparatus. Then, 1033 failure cases were reported in the eight zones of under study WDN during March-December 2014. Pipes break rate (BRP) was calculated using the depth of pipe installation (hP), number of failure (NP), pressure of water pipes in operation (P), and age of pipe (AP). After completing a pipe break database, robust Artificial Intelligence models, namely Multivariate Adaptive Regression Spline (MARS), Gene-Expression Programming (GEP), and M5 Model Tree were employed to extract precise formulation for the pipes break rate estimation. Results of the proposed relationships demonstrated that MARS model with Coefficient of Correlation (R) of 0.981 and Root Mean Square Error (RMSE) of 0.544 provided more satisfying efficiency than M5 model (R = 0.888 and RMSE = 1.096). Furthermore, statistical results indicated that MARS and GEP models had comparatively at the same accuracy level. Explicit equations by AI models were satisfactorily comparable with those obtained by literature review in terms of various conditions: physical, operational, and environmental factors and complexity of AI models. Through a probabilistic framework for the pipes break rate, the results of first-order reliability analysis that MARS technique had highly satisfying performance when MARS-extracted-equation was assigned as a limit state function.
LCR and AFD of the Products of Nakagami-m and Nakagami-m Squared Random Variables: Application to Wireless Communications Through Relays
Authors: Stefanovic Caslav , Milovanovic Ivan , Stefanovic Mihajlo 
Published: June 2021

Abstract
The paper considers level crossing rate (LCR) and average fade du- ration (AFD) of the product of independent and identically distributed (i.i.d) Nakagami-m (NM) and double NM squared (also known as gamma-gamma) random variables (RVs). The derived statistical results are than related to the radio-frequency (RF) - free space optical (FSO), dual-hop (DH), amplify- and forward (AF) relaying system over non turbulent-induced-fading channels (nTIFCs) and turbulent-induced-fading channels (TIFCs). The obtained re- sults of DH-AF, RF-FSO system over TIFCs and nTIFCs are numerically evaluated and graphically presented for all system model parameters.
Development of mathematical model for multi-user coded-cooperation based cognitive radio system and its outage probability analysis
Authors: Singh Garima , Kaur Gurjit 
Published: June 2021

Abstract
In this paper, single and multi-user coded-cooperation based cognitive radio system is developed by designing its mathematical model where both source and relay will communicate to a single destination with the help of each other. Then all possible multi-user scenarios are developed and their end-to-end outage probability (Pout) is calculated for underlay mode of cognitive radio. The performance of the system is analyzed in the form of channel gain and interference temperature constraint for Rayleigh fading channel. The proposed system concludes that the coded cooperation with cognitive radio outperform the available techniques in the form of bandwidth, diversity, spectrum utilization efficiency and also improves the quality of communication. Furthermore, the theoretical analysis of the outage probability for both system models is validated by asymptotic analysis. The proposed system can set as a standard for all those cognitive radio applications which requires better spectrum efficiency even if there is a scarcity of multiple physical antennas.
A Non-Stationary and Probabilistic Approach for Drought Characterization Using Trivariate and Pairwise Copula Construction (PCC) Model
Authors: Dixit Soumyashree , Jayakumar K V 
Published: June 2021

Abstract
Under the variable climatic conditions, the conventional Standardized Precipitation Index (SPI) and Reconnaissance Drought Index (RDI) are inadequate for predicting extreme drought characteristics. So in the present study, two indices namely, Non-stationary Standardized Precipitation Index (NSPI) and Non-stationary Reconnaissance Drought Index (NRDI) are developed by fitting non-stationary gamma (for precipitation series) and lognormal (for initial values,δ0) distributions. The Generalized Additive Model in Location, Scale and Shape (GAMLSS) framework, with time varying location parameters considering the external covariates, is used to fit the non-stationary distributions. This includes various large scale climate indices namely Multivariate ENSO Index (MEI), Southern Oscillation Index (SOI), Sea Surface Temperature (SST), and Indian Ocean Dipole (IOD) as external covariates for the non-stationary drought assessment. The performances of stationary and non-stationary models are compared based on the Akaika Information Criterion (AIC). Additionally, the drought characteristics are evaluated using Run theory analysis for both stationary and non-stationary drought indices. The study also concentrated on the trivariate copula as well as the Pairwise Copula Construction (PCC) models to estimate the drought recurrence intervals. The comparison of two copula models revealed that the PCC model performed better than the trivariate Student’s t copula model. The recurrence intervals arrived at for the drought events are different for trivariate copula model and PCC model. The area taken for the study is the Upper and Lower sub basins of the Godavari River basin. This study shows that non-stationary drought indices will be helpful in the accurate estimate of the drought characteristics under the changing climatic scenario.
Flavonoids Modulate Bacterial Endophyte Communities of Ginkgo Biloba Leaves
Authors: Lei Fangying , Huang Haonan , Yang Qin , Fu Shaodong , Guo Xue , Zhang Shuangfei , Xiao Yunhua , Liu Xueduan , Yin Huaqun , Zou Kai , Liang Yili 
Published: June 2021

Abstract
Plant-specialized secondary metabolites have ecological functions in mediating interactions between plants and their entophytes. Here, we aimed to reveal the interaction between flavonoid synthesis and endophytic bacterial communities in wild Ginkgo trees spanning 100-800 years. We found that flavonoids including quercetin, kaempferol and isorhamnetin decreased while the microbial diversity in leaves increased with the age of sampled trees. Older trees had more unique genera and shifted their endophytic bacterial community structure. Also, Mantel tests and correlation analysis indicated a generally significant (p < 0.05) negative correlation between endophytic bacterial communities and flavonoids. Additionally, both deterministic and stochastic processes could play roles in the assembly of endophytic bacterial communities in Ginkgo trees with a progressive increase in stochastic processes as flavonoid concentrations decreased. This study provides a mechanistic understanding of how flavonoids modulate the endophytic microbial community assembly.
Grain Yield Gains and Associated Traits in Tropical X Temperate Maize Germplasm Under High and Low Plant Density
Authors: Ndou Vince , Gasura Edmore , Chivenge Pauline , Derera John 
Published: June 2021

Abstract
Development of ideal breeding and crop management strategies that can improve maize grain yield under tropical environments is crucial. In the temperate regions, such yield improvements were achieved through use of genotypes that adapt high plant population density stress. However, tropical germplasm has poor tolerance to high plant population density stress, and thus it should be improved by temperate maize. The aim of this study was to estimate the genetic gains and identify traits associated with such gains in stable and high yielding temperate x tropical hybrids under low and high plant population densities. A total of 200 hybrids derived from a line x tester mating design of tropical x temperate germplasm were developed. These hybrids were evaluated for grain yield and allied traits under varied plant population densities. High yielding and stable hybrids, such as 15XH214, 15XH215 and 15XH121 were resistant to lodging and had higher number of leaves above the cob. The high genetic gains of 26% and desirable stress tolerance indices of these hybrids made them better performers over check hybrids under high plant population density. At high plant population density yield was correlated to stem lodging and number of leaves above the cob. Future gains in grain yield of these hybrids derived from temperate x tropical maize germplasm can be achieved by exploiting indirect selection for resistance to stem lodging and increased number of leaves above the cob under high plant density conditions.