bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Matrix Representation For Sustainable Activities
Authors: Mahmud Ahmed S. , Zachary Daniel S. 
Published: July 2021

Abstract
The present paper develops a matrix framework to determine the sustainability of multiple activities simultaneously. We define an activity as an action or process involving multiple resources; each activity depends upon other activities at a higher level. First, the problem of sustainability is framed in the context of an input-output model. Later, an infinite layer approach is adopted to represent different sectors of the economy and both renewable and non-renewable resources. Using the infinite layer approach, the concentration of renewable energy usage is calculated for each activity. The conversion to productive use varies from one resource to another. The current endeavor also focuses on enhancing energy efficiency to reduce non-renewable resource dependency.
Social Capital as a Moderator for Caregivers’ Psychological Distress: A Dynamic Panel Data Model Analysis in Japan
Authors: Oshio Takashi , Sugiyama Kemmyo 
Published: July 2021

Abstract
Background: The adverse impact of caregiving on caregivers’ mental health and the positive impact of social capital (SC) on health are both well understood. This study examined the moderating effect of SC on the association between family caregiving and caregivers’ psychological distress (PD).Methods: We used longitudinal data from 27,869 individuals born between 1946 and 1955. The data were collected from a 14-wave nationwide longitudinal survey conducted from 2005 to 2018. We estimated dynamic panel data (DPD) models, which could control for an individual’s time-invariant attributes in a dynamic framework. We did this to examine how SC moderated the association between informal caregiving and a caregiver’s PD (defined by a Kessler score of 13 or higher). We also examined how the results varied over time, as the caregiver’s age advanced.Results: Of the respondents aged 50–73 years, 12.5% of women and 8.4% of men provided care to their older parents or spouses. The DPD model results showed that the onset of caregiving increased the probability of PD (M 3.4%) by 2.1% (95% confidence interval [CI]: 1.6%–2.7%) and 1.1% (95% CI: 0.5%–1.6%) for women and men, respectively. SC moderated the association between caregiving and a caregiver’s PD by 53.4% (95%: 30.4%–76.4%) and 84.9% (95% CI: 62.0%–107.8%) for women and men, respectively. We also observed that the moderating effect of SC on a caregiver’s PD increased as the caregiver’s age advanced in both women and men, preventing a deterioration in the psychological impact of caregiving. Conclusions: The results underscore the moderating effect of SC on the association between caregiving and PD. This suggests the need to keep family caregivers from being socially isolated, especially as they get older.
Removal of Hg2+ From Desulfurization Wastewater By Tannin-Immobilized Graphene Oxide
Authors: Chen Heng , Liu Fengjun , Cai Chenjian , Wu Hao , Yang Linjun 
Published: July 2021

Abstract
A novel adsorbent by immobilizing tannic acid (TA) on graphene oxide (GO) was proposed and used to remove Hg2+ from desulfurization wastewater. The morphology and physic-chemical property of tannin-immobilized graphene oxide (TAIGO) was characterized by Scanning electron microscopy (SEM), Atomic Force Microscope (AFM), and Fourier transform infrared spectroscopy (FTIR). The characterization results showed that the TA was immobilized on the GO successfully, and new functional groups were introduced on TAIGO. The effect of contact time, adsorbent dose, pH, and ion components on removal efficiency were evaluated. It was found that the adsorption process would complete within 15 min, and a higher removal efficiency could be obtained on the increased adsorbent dosage. The pH value would affect the protonation process of TAIGO and the form of Hg2+ in the wastewater. The high-concertation Cl- and SO32- would hinder the absorption performance, while SO42- and cations had a negligible impact. Besides, an excellent economic benefit of TAIGO was achieved in the regeneration performance evaluation experiment, and removal efficiency of was 88% remained after three recycles. Most importantly, the TAIGO exhibited a better adsorption performance and economic benefit than GO and TA. The adsorption process was fitted with the pseudo-second-order kinetic model(R=0.9995), and the adsorption of TAIGO for Hg2+ was mainly relies on the functional groups on GO and the chelation reaction between TA and Hg2+. These facts indicated that the TAIGO was a low-cost and high removal of Hg2+ efficiency adsorbent, which could be further used in the practical desulfurization wastewater.
Prevalence of Dengue Virus, Chikungunya and Zika Infection in Blood Donors of Northern of Brazil
Authors: Lamarão Leticia Martins , Corrêa Angelita Silva Miranda , de Castro Renata Bezerra Hermes , Amaral Carlos Eduardo de Melo , Monteiro Patricia Danin Jordão , Palmeira Mauricio Koury , Lopes Luane Nascimento , Oliveira Angela Neves , de Lima Maria Salete Maciel , Burbano Rommel Rodríguez 
Published: July 2021

Abstract
We identified the prevalence of infection by the Dengue virus, Chikungunya and Zika in blood donors in epidemic and non-epidemic periods in the State of Pará, in Northern Brazil, we classify the donors (symptomatic or asymptomatic) and the possibility of this screening being carried out in a sample pool.
A Review of Trends and Crime Patterns of Arson Offences in India: 2009-2018
Authors: Savia Fernandes Glorita , Mulimani C. F. 
Published: July 2021

Abstract
Crime statistics provide innate knowledge on different types of crimes, their jurisdictions, current status and future predictive trends in society. This research paper is based on the review of data available in the national open access publication of crime data in the country. It focuses on arson offences in India for the last decade from 2009 to 2018. It is important to study national crime statistics to enhance policing and criminological studies in different trends encountered through research. Explaining the trends of a crime in a country can help in establishing better policies, reporting systems, investigative methods and ultimately, a better criminal justice system. While Criminology studies have been generally focused on behavior, causes, etc. associated with violent crimes like offences against the body, violence against women, offences against children; this paper is aimed at discussing trends with respect to arson, a lesser known offence in our country.
An Effective Dynamic Immune Optimization Control for the Wastewater Treatment Process
Authors: Li Fei , Su Zhong , Wang Gongming 
Published: July 2021

Abstract
Aiming at the conflict of multiple performance indicators in the complex wastewater treatment process (WWTPs), an effective optimization control based on dynamic multi-objective immune (DMOIA-OC) is designed. This method first designs a dynamic optimization control scheme. It also divides the control process into a dynamic optimization layer and a tracking control layer. Secondly, based on analyzing the performance of WWTPs, the optimization layer establishes energy consumption and effluent quality models that adapt to the environment. Thirdly, an adaptive dynamic immune optimization algorithm is proposed to optimize complex and conflicting performance indicators. Besides, a suitable preference solution is selected from many Pareto solutions. It is to obtain the best set values of dissolved oxygen and nitrate nitrogen. Finally, the solution will be tested on the benchmark simulation platform (BSM1). The results show that the DMOIA-OC method can solve the complex optimization problem of multiple performance indicators in WWTPs. And it has a competitive advantage in the control effect.
Function, Proteomic and miRomic Study of a Dry Immersion Model of Microgravity implicates the Wnt/Dkk1/AXIN1 axis in Prothrombotic Platelet Phenotype
Authors: Twomey Laura , Navasiolava Nastassia , Robin Adrien , Bareille Marie-Pierre , Gauquelin-Koch Guillemette , Beck Arnaud , Larcher Françoise , Meade-Murphy Gerardene , Sheridan Sinead , Maguire Patricia , Harrison Michael , Degryse Bernard , Moyna Niall , Gharib Claude , Custaud Marc-Antoine , Murphy Ronan 
Published: July 2021

Abstract
Objective: Ground based research modalities of microgravity have been proposed as innovative methods to investigate the aetiology of chronic age-related conditions such as cardiovascular disease. Dry Immersion (DI), has been effectively used to interrogate the sequelae of physical inactivity (PI) and microgravity on multiple physiological systems. Herein we look at the causa et effectus of 3-day DI on platelet phenotype, and correlate with both miRomic and biomarker expression.Approach and Results: The miRomic profile of platelets is reflective of phenotype, which itself is sensitive and malleable to the exposome, undergoing responsive transitions in order to fulfil platelets role in thrombosis and haemostasis. Heterogeneous platelet subpopulations circulate at any given time, with varying degrees of sensitivity to activation. Employing a DI model, we investigate the effect of acute PI on platelet function in 12 healthy males. 3-day DI resulted in a significant increase in platelet count, plateletcrit, platelet adhesion, aggregation, and a modest elevation of platelet reactivity index (PRI). We identified 15 protein biomarkers whose expression levels were altered after DI. 22 “DI/PI” related miRNA were identified, of which five have potential targets in the Wnt pathway associated with platelet biogenesis and function. These findings are supported by increased circulating Axin1 and DKK1.Conclusions: Circulating biomarker and miRomic analysis implicates miRNA regulation of Wnt/Dkk1/AXIN1 axis in DI/PI induced primed platelet phenotype. Taken together, these findings highlight platelets as sensitive adaptive sentinels and functional biomarkers of epigenetic drift within the cardiovascular compartment.
An Analysis of The Asymmetric Effects of Natural Gas Consumption on Economic Growth in Pakistan: A Non-linear Autoregressive Distributed Lag Approach
Authors: Sohail Hafiz M. , Li Zengfu , Murshed Muntasir , Rafael Alvarado , Mahmood Haider 
Published: July 2021

Abstract
Natural gas is an important energy resource that is used to produce the national output of Pakistan.On the other hand, since natural gas is a relatively cleaner energy resource compared to oil and coal, enhancing the level of natural gas use is believed to improve the environmental quality in Pakistan which, in turn, can be expected to enable the nation to sustain its economic performances. Hence, it is pertinent to assess the effects of natural gas consumption on the nation’s economic growth level.The main objective of this paper was to explore the asymmetric effects of natural gas consumption, controlling for financial development, on Pakistan's economic growth level over the 1965–2019 period. The results from the Augmented Dickey-Fuller, Phillips-Perron, and Zivot-Andrews unit root tests confirmed a mixed order of integration among the variables. Besides, the bounds test and Gregory-Hansen cointegration analysis revealed evidence of long-run associations between economic growth, natural gas consumption, and financial development. Moreover, the outcomes from the non-linear autoregressive distributed lag model showed thatin the short-run positive changes in the natural gas consumption levels increase economic growth in Pakistan. On the other hand, in the long-run, positive and negative changes in natural gas consumption levels increase and decrease the economic growth level, respectively, in the long-run. On the other hand, both positive and negative changes in the financial development level are found to reduce the economic growth level in the long-run. Furthermore, the Hacker-Hatemi-J causality analysis verifiedthat natural gas consumption influences the economic growth level in Pakistan; thus, the energy consumption-led growth phenomenon was unearthed. In line with these key findings, several policy level suggestions are put forward for Pakistan to boost its natural gas consumption figures in order to enhance its economic growth level in the future.
Early Experience with An Opt-In Research Register - Scottish Health Research Register (SHARE): A Multi-Method Evaluation of Participant Recruitment Performance.
Authors: Shi Wen , Vasishta Shobna , Dow Louise , Cavellini Daniella , Palmer Colin , McKinstry Brian , Sullivan Frank 
Published: July 2021

Abstract
Background
Recruiting participants to a clinical study is a resource-intensive process and has high rate of failure. The Scottish Health Research Register (SHARE) provides recruitment support service which helps researchers recruit participants by searching patients’ Electronic Health Records (EHRs). The current study aims to evaluate the performance of SHARE in participant recruitment.
Methods
Recruitment projects eligible for evaluation were those for clinical trials or observational studies and had finished before the end of 2019. From SHARE records, for each project we calculated 1) the fraction of the participants recruited through SHARE as a percentage of the number requested by researchers (percentage fulfilled), 2) the percentage of the potential candidates provided by SHARE to researchers that were actually recruited (percentage provided and recruited), 3) the percentage of the participants recruited through SHARE of all the potentially eligible candidates identified by searching registrants’ EHRs (percentage identified and recruited). Research teams of the eligible projects were invited to participate in an anonymised online survey. Two metrics were derived from research teams’ responses, including a) the fraction of the recruited over the study target number of participants (percentage fulfilled), and b) the percentage of the participants recruited through SHARE among the candidates received from SHARE (percentage provided and recruited).
Results
44 projects were eligible for inclusion. Recruitment data for 24 projects were collected (20 excluded because of missingness or incompleteness). Survey invites were sent to all the eligible research teams and received 12 responses. Analysis of recruitment data shows the overall percentage fulfilled was 34.2% (interquartile 13.3% − 45.1%), the percentage provided and recruited 29.3% (interquartile 20.6% − 52.4%) and percentage identified and recruited 4.9% (interquartile 2.6% − 10.2%). Based on the data reported by researchers, percentage fulfilled was 31.7% (interquartile 5.8% − 59.6%) and percentage provided and recruited was 20.2% (interquartile 8.2% − 31.0%).
Conclusions
SHARE may be a valuable resource for recruiting participants for some clinical studies. Potential improvements are to expand the registrant base and to incorporate more data generated during patients’ different health care encounters into the candidate-searching step.
Sub-division Level Temperature Patterns and Trends Across East-Coast Industrial Corridor, India
Authors: Rayadurgam Hrishikesh Mahadev , Rao Prakash 
Published: July 2021

Abstract
Temperature patterns and trends influence many sectors. The newly planned industrial corridors will have to consider the variations in temperature and other climatic parameters. The present article aims to investigate the patterns and trends of maximum and minimum temperature at the Sub-division (sub-district) level. We analyse annual and seasonal temperature data from 1958 to 2018 for the India’s first east-coast corridor, the Visakhapatnam–Chennai industrial corridor (VCIC) using a combination of Getis–Ord–Gi and Mann–Kendall trend test for spatiotemporal patterns and trends. The results show domination of intensifying hot spots across the VCIC and an overall increase in both maximum and minimum temperature for annual (0.013 oC/y and 0.011 oC/y) and seasonal trends. However, the variations of pattern and trends are unambiguous within districts. There is a clear distinction in patterns and trends between southern and north-eastern districts, indicating the need for localised planning. As the industrial areas are planned at a microlevel, such studies will enable planners and decision-makers to plan and prioritise site-specific climate change adaptation and mitigation measures in industrial and urban areas.
Chicken Swarm Optimization based Optimal Channel Allocation in Massive MIMO
Authors: Nisharani S , Indumathi G 
Published: July 2021

Abstract
Energy Efficiency (EE) plays a significant role in the progress towards the Fifth-Generation (5G) wireless communication networks. Due to the higher Spectral Efficiency (SE) and EE, Massive Multiple-Input Multiple-Output (MIMO) is a promising model for the 5G networks. In this work, a Channel Selection (CS) scheme is proposed by selecting the optimal channel using the Chicken Swarm Optimization (CSO) algorithm. A massive MIMO model is implemented by considering the SE, EE and Resource Efficiency (RE). The main objective is to optimize the beam-forming vectors and power allocation for all the users. The RE metric considering the multi-objective function can be defined to develop an effective and robust design with balanced SE and EE. The objective function for generating the optimal beam forming vectors is satisfying the Signal to Interference-Plus-Noise Ratio (SINR) constraints. The CSO Algorithm is applied to generate the beam-forming vectors and power allocation, based on the channel characteristics. The channel state information is predicted and a projection matrix with channel estimation framework is formed. The selection of the index sets in the iteration process provides the optimized channel. Data transmission is performed through the optimal channel. From the comparative analysis, it is observed that the proposed CS scheme provides better SE and EE than the existing CS schemes.
Protective Consumption Behavior Under Smog: Using a Data-driven Dynamic Bayesian Network
Authors: Yuan Yu , Fan Bo 
Published: July 2021

Abstract
In the midst of the deteriorating air pollution and collective stress, people pay close attention to risk mitigation measures such as keeping indoor and purchasing anti-smog products. Through impact evaluations, critical factors regarding health protective behavior can be identified. However, limited research is available regarding probabilistic interdependencies between the factors and protective behavior. In this study, we adopt a data-driven Bayesian network (BN) approach to measure impacts of various factors on protective behavior under smog crisis. We model the sales of air purifiers and related factors that might incur protective product purchase behavior as a BN and examine the dependencies among network nodes. Using the city-level aggregate data from an online shopping platform, the results shed new light on relationships existing among 11 factors and protective behavior of buying air purifiers. Furthermore, taking into account the dynamic nature of protective behavior, we add time-related factors on the basis of static BN and propose the dynamic Bayesian model. Results indicate that PM2.5 concentration and product price are the two leading factors affecting public protective behavior ofbuying air purifiers. Additionally, media-related factors play an important role in the protective behavior. Ultimately, this study contributes to the fields of impact evaluation of public protective behavior analysis and links risk management with key factors.
Evaluation of the Mini Nutritional Assessment short-form among the elderly population from Ethiopia
Authors: Urgessa Megersso 
Published: July 2021

Abstract
Background Different tools have been used to perform a nutritional screening and assessment, and MNA is one of the widely used and recommended tools in the geriatrics population. MNA has two forms, long and short. However, MNA short-forms have not been evaluated in Ethiopia. Therefore, this study was aimed to evaluate MNA short form against MNA long-form tool among Ethiopian elders.Methods One hundred and seventy-six randomly selected elders entered into the community-based cross-sectional validation study. Amputated, bedridden, those with visible deformity were excluded. Original MNA questionnaires were translated to Afan Oromo and Amharic languages. All translated and pretested MNA questionnaires were administered to each participant. The anthropometrics were measured. Reliability, validity, sensitivity, specificity, positive and negative predictive values were calculated. Receiver-operating characteristic curve (ROC-curve) analysis was plotted for MNA, to identify the area under the curve (AUC) and optimal cut-off value for prediction of malnutrition.Result Strong association between MNA-long form score and MNA-short form score indicated by spearman’s rank correlation coefficients of BMI-MNA-SF 0.771,p < 0.05 and CC-MNA-SF 0.759, P < 0.05. Similar the agreement between the long and short form of MNA was found to be a weighted kappa 0.396(0.318, 0.474) for BMI-MNA-SF and 0.546(0.422, 0.669) for CC-MNA-SF at 95% CI. These values indicate moderate agreement with the MNA-long form. There is very good agreement between the BMI-MNA-SF and CC-MNA-SF 0.400(0.322, 0.478). Also, high power to identify two categories using MNA long-form as golden standard with AUC for BMI –MNA-SF 0.908 (0.865–0.951) and 0.880 (0.831–0.929) for CC-MNA-SF at 95% CI. Diagnostic accuracy of both versions of MNA-SF showed that 34.2% sensitivity, 100.0% specificity, 100.0% PPV, and 41.5% NPV for BMI-MNA-SF. Similar sensitivity 75.8%, specificity 83.9%, PPV 91.0%, and 61.8% NPV for CC-MNA-SF. Total Diagnostic accuracy for BMI-MNA-SF 55.12%, and 78.41% for CC-MNA-SFConclusion Both versions of MNA-SF were found to be valid screening tools in the Ethiopian elders against Long-form MNA.
Vibration Response Analysis of a Gear-rotor-bearing System Considering Steady-state Temperature
Authors: Sun Zhou , Chen Siyu , Hu Zehua , Lei Duncai 
Published: July 2021

Abstract
As an important factor leading to the failure of gear system, the study of thermal effect is insufficiently deep. Based on the finite element nodal method, a more comprehensive dynamic model of gear-rotor-bearing system is established, which considers the thermal related material properties, time-varying meshing stiffness (TVMS), backlash and friction, gyroscopic effect. The constitutive relation of beam element considering steady-state temperature is reconstructed, and thermal node load is formulated. Considering the influence of temperature on the material properties of flexible shaft and gear, the thermal related TVMS and thermal backlash are obtained. The dynamic response of the system under different steady-state temperature fields is compared, and the influence of hot backlash is studied, then the thermal related vibration characteristics are obtained. Besides, the influence of bearing type on bearing force and axial trajectory is studied. The results show that the system motion changes from period to chaos with the temperature increase in part of the speed range. The appropriate backlash is helpful to restrain the chaotic motion caused by temperature rise. Moreover, the temperature can significantly increase the axial bearing force, and the appropriate bearing can reduce the axial displacement.