bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychometric Analysis of Religiosity Scale in the Elderly
Authors: Amalia Sofa 
Published: January 2022

Religiosity is deemed essential for humans, especially when humans entered the elderly. Increased relationship with their religion will improve the health and psychological well-being of the elderly. The purpose of this study is to conduct psychometric analysis of the religiosity scale based on the context of Islamic religion. The sample consisted of 205 elderly with aged criteria above 60 years. This scale was developed based on the multi-dimensional structure of religiosity theory, are: the ideological (acceptance of the belief system); the feeling (subjective and emotional religious experience as an expression of personal religiousness); the ritualistic (participation in religious activities and practices); the intellectual (knowledge of the belief system); and the consequential (ethical consequences of the belief system). The measurement method with reliability test uses Cronbach’s alpha and internal validity measurement using corrected item-total correlation and exploratory factor analysis (EFA). The results show that the scale has consistency and has items that are feasible to explain the variables of religiosity
Theory and Practice of a Flexible Fiber Optic Cable in a Horizontal Well Used for Cross-Well and Microseismic Hydraulic Fracture Monitoring
Authors: LeBlanc Michel , Suh Kwang , Machovoe Sean , Byrd Dane , Jaaskelainen Mikko , Bland Henry , Stokes Joshua , Henao Tito , Sahdev Neha 
Published: January 2022

Abstract
A flexible optical fiber cable, either as a wireline or a disposable fiber deployed using a pumped fiber payout shuttle, in a horizontal well, can be used be measure distributed near-static or dynamic strain. These measurements can be used to monitor the hydraulic fracturing treatment of nearby wells. It is the objective of this paper to present a theoretical framework for the understanding of the cable behavior and to compare it to field measurements.
The theory predicts the conditions under which slippage occurs between the optical fiber cable and the wellbore if coupling is provided by Coulomb friction. For near-static strain, as used in crosswell strain monitoring, the theory explains the broadening of the strain zone detected with a wireline cable. However, the theory underestimates the coupling provided by a grease-covered disposable fiber where a level of adhesion between the fiber and the wellbore provides better coupling than possible by Coulomb friction alone. Understanding the fundamental theory explains measured data and enables confident data interpretation regardless of sensing cable configuration.
For the dynamic strain, the theory confirms the generally good response observed using the flexible cables for microseismic monitoring due to the low amplitude of the dynamic strains involved. The low amplitude of the strains means that the strain gradients and inertial forces are also small, such that Coulomb friction is sufficient to provide the needed coupling.
An interesting result of the theory is the existence of a resonance condition allowing for large amplitudes to be detected faithfully even if only Coulomb friction is present. This resonance does not depend on signal frequency but on the match between the intrinsic travel speed of a disturbance on the cable and the apparent phase velocity of the seismic signal in the well direction.
Most importantly, the theory enables i) a comparison of different cable types for the near-static and dynamic strain applications, and ii) better data interpretation and associated decisions.
Field examples are provided to show both when the theory is applicable and where the obtained coupling exceeds what is predicted by the theory. The novel aspect of the paper is the first presentation of a theoretical background for the understanding of the performance of flexible cables inside horizontal wells used as static or dynamic strain sensors for the monitoring of hydraulic fracturing jobs.
Solar Farm Site Selection Using Spatial Multi Criteria Evaluation Method: Acase Study of Kewet Wereda, North-Center Ethiopia.
Authors: Goshem Gashaw Kibret , Hailu Binyam Tesfaw 
Published: January 2022

Abstract
Solar energy can provide a great opportunity for alternative energy source and development of the nation of the country. It can access freely throughout earth’s surface so, solar energy is the best alternative energy source for solving limitation of power especially when there is drought. Therefore, this thesis aims to select suitable solar farm sites by using spatial multi criteria evaluation method in Kewet Wereda. Different spatial and non-spatial data such as solar radiation, slope, aspect, LULC, proximity distance to road, proximity distance to sub-station site, proximity distance to river, proximity distance to railway and proximity distance to town have been used to identify and map area. Some parameter data are taken from 30 meter resolution of DEM such as solar radiation, slope, aspect and river streams. Analytical Hierarchy process (AHP) was used for Calculation of the criteria weighted overlay to produce a suitable solar farm site map. The result shows that solar radiation has the highest weight and distance to river has the lowest weight with 36.6% and 3.4%, respectively. In addition, optimal solar farm sites were identified and highly suitable area found in the south, southeast and northeast part of the study area and covers 35988.71 hectare area. Those potential zone contributes to fill the energy gap between the demand and supply of the country when there is a shortage of rainfall through the country and shortage of water at the dam.
Design of Noniterative Algorithms for Takagi Sugeno Kang Type General Type-2 Fuzzy Logic Systems
Authors: Chen Yang , Li Chenxi , Yang Jiaxiu 
Published: January 2022

Abstract
The paper performs the center-of-sets (COS) type-reduction (TR) and defuzzification for Takagi Sugeno Kang (TSK) type general type-2 fuzzy logic systems (GT2 FLSs) on the basis of the T-planes expression of general type-2 fuzzy sets. Actually, comparing the popular Karnik-Mendel (KM) algorithms with other noniterative algorithms is an important question in T2 society. Here the modules of fuzzy inference, COS TR, and defuzzification for TSK type GT2 FLSs are discussed by means of noniterative Nagar-Bardini (NB) algorithms, Nie-Tan (NT) algorithms, and Begian-Melek-Mendel (BMM) algorithms. Simulation instances are constructed to illustrate the performances of three types of noniterative algorithms compared with the KM algorithms. It is proved that, the proposed noniterative algorithms can enhance the computational efficiencies significantly, which afford the potential application value for designers of GT2 FLSs.
Transforming OpenAPI Specification 3.0 Documents into RDF-based Semantic Web Services
Authors: Muhamad Wardani , Suhardi Suhardi , Bandung Yoanes 
Published: January 2022

Abstract
Service-Oriented Architecture (SOA) designs are translated into software units and meet principles such as discoverable, reusable, and compostable. Web services are becoming a technology adopted by service providers so that services can be discovered and reused by clients. To complete more complex business processes, a set of existing services can be composed following a certain flow. To support client needs, these services should be equipped with comprehensive user interfaces in the form of web descriptions, which outlines the service capabilities regarding specific standard or language. This should be considered through an understandable format for humans and/or machines. In the Representational State Transfer (REST) architectural style, the OpenAPI Specification (OAS) is used as a reference to create web service descriptions. However, it only supports syntactic interoperability, leading to the incapability of supporting the automated selection process. The main challenges in this automation process should be overcome by providing web service semantics to create "understandable" services that automatically interact with one other. This indicates that the OAS document is improved by adding semantics to each resource. Therefore, this study aims to develop a system capable of transforming resources in OAS documents into RDF-based semantic web services. The OAS structure was the main basis for creating a relational database schema. Furthermore, a database normalization technique was implemented to design a schema, which stored all objects in an OAS document. To map resources on the RDF data model, an ontology was developed, explaining the concepts and the relationships between them. This adopted the published linked-open vocabulary and corresponded to the characteristics of each identified OAS resource. To build RDF-based semantic web services, R2RML was used to generate the relational database model into triple RDF. The proposed system was also tested through prototyping and using a dataset of 106 OAS documents, which were downloaded from APIs.guru between 5–10 May 2021. The number of triple RDFs generated from each document varied according to the rate of resources. This was observed when an OAS document produced 36 to 16,505 triple RDF in a specific dataset. The final result showed the formation of a knowledge base in triple RDF format, which was managed using a graph management database. This led to the utilization of the repository semantic web services as a basis for service selection (using SPARQL) so that service operations can be found as well as input and output parameters that correspond to the service composition requirements. The use of relational databases to store OAS resources also increased the efficiency of reuse by approximately 48%, due to service developer designing interoperability between uniform parameter services, which were subsequently used as input and output.
Effectiveness of Mindfulness-Based Happiness Pregnant Birth Parenting (HPBP) Programs on Mental Health During Pregnancy and Early Motherhood in China: A Multicenter Randomized Control Trial
Authors: Shulei Wang , Mengyun Sun , Xing Huang , Daming Zhang , Li Yang , Tao Xu , XiaoPing Pan , Ruimin Zheng 
Published: January 2022

Abstract
Background
This study aimed to investigate the efficacy of Happiness Pregnant Birth Parenting (HPBP) in preventing perinatal depression and reducing perceived anxiety and fear in Chinese pregnant women.
Methods
Women experiencing first-time pregnancy (n = 104) were randomly allocated to the HPBP group or a parallel control treatment group; We collected data at baseline (T0), post-intervention (T1), three days after delivery (T2), and 42 days after delivery (T3). Participants completed questionnaires regarding depressive symptoms, perceived anxiety, fear, satisfaction with life, and five facets of mindfulness. We analyzed differences between the two groups and changes within the same group at the four time points using repeated-measures ANOVA.
Results
Compared to the active control treatment group, the HPBP group reported lower levels of perceived depressive symptoms at T2 (p < .05, d = 1.83) and T3 (p = .01, d = 2.21); significantly reduced anxiety at T1 (p = .001, d = 5.31) and T2 (p = .003, d = 6.12); significantly reduced fear at T1 (p < .01, d = 14.95) and T2 (p = .04, d = 10.95); and significantly increased life satisfaction at T1 (p < .01, d = 3.86) and T3 (p = .015, d = 3.1) and self-reported mindfulness at T1 (p = .01, d = 6.81) and T2 (p < .01, d = 8.7).
Conclusions
The findings indicate that the HPBP intervention based on mindfulness effectively decreases the risk of perinatal depression, anxiety, and fear. Thus, this research enhances our knowledge of effective intervention strategies to promote mental well-being and prevent perinatal depression or other negative mental states among pregnant women.
Trial registration
:Chinese Clinical Trial Registry (ChiCTR):ChiCTR2000033149; The date of first registration is 24/ 05/ 2020.
Study on Urban Rainstorms Design Based on Multivariate Secondary Return Period
Authors: Zhang Jinping , Zhang Hang , Fang Hongyuan 
Published: January 2022

Abstract
In order to reveal the correlations between rainstorm characteristics variables, and make the return period of rainstorm more reasonable and objective, in this study, the joint distribution models of rainstorm elements are established by using copula theory based on the rainfall data in a Chinese megacity, Zhengzhou. Then their combined design values of the primary return period (PRP) and secondary return period (SRP) derived by the maximum probability method (MP) and same frequency method (SF) are obtained, finally using the Pilgrim & Cordery method (PC) the rainstorm pattern is designed. The results indicate that the calculation of rainstorm return period (RRP) with SRP is more reasonable compared with PRP. For the same RRP, the rainstorm volume (RV) of “Or” return period (ORP) type is largest, while the “And” return period (ARP) is smallest, and the RVs of Kendall return period (KRP) and survival Kendall return period (SKRP) are between them. For the KRP, the RVs calculated by MP and SF are pretty close, and their relative errors is between -5.84% and 4.69%. Compared to ORP, the rainstorm patterns of KRP can reduce the magnitude and investment of the stormwater infrastructure. Moreover, the rainfall of the designed rainstorm pattern of SKRP mainly concentrated before the rain peak in contrast with KRP.
Computational Methods for Predicting the Outcome of Thoracic Transplantation
Authors: C.G Raji , A.K Safna 
Published: January 2022

Abstract
Cardiac disease and the death rates due to coronary heart failure and cardiomyopathy are increasing. Thoracic transplantation is now a widely accepted therapeutic option for end-stage cardiac failure. The survival rate after the organ transplantation is crucial. Survival prediction after heart transplantation is a hot area of research. The use of conventional statistical techniques is computationally expensive and does not provide reliable solutions. Artificial Neural Networks based survival prediction helps surgeons make precise decisions and predict the best outcomes. The proposed system implements multi-layer perceptron algorithm, which shows good performance in survival prediction. We also implemented our work in the Radial Basis Function Network model to prove the accuracy of proposed model. For this research study, data were collected from United Network for Organ Sharing database and extracted the relevant thoracic transplantation survival prediction attributes with the help of suitable data mining techniques. We obtained an accuracy of 97.1% from the multi-layer perceptron model with the evaluation of various performance measures. In order to assure the validity of the proposed model we implemented the Radial Basis Function model and obtained an accuracy of 92.37%. We collated the accuracy of proposed survival prediction models with existing systems and proved that the proposed system appeared to be best for survival prediction with higher accuracy compared to 85.9% in the existing system. The outcome of the model will be an asset for the lifesaving procedures in the medical field.
Amplitude and Frequency of Wetting and Drying Cycles Drive N2 and N2O Emissions From a Subtropical Pasture
Authors: Friedl Johannes , Deltedesco Evi , Keiblinger Katharina , Gorfer Markus , De Rosa Daniele , Scheer Clemens , Grace Peter R , Rowlings David W 
Published: January 2022

Abstract
Changes in amplitude and frequency of wetting and drying cycles in pasture systems due to climatic variation and irrigation management are likely to affect magnitude and partitioning of N2 and N2O emissions. This study investigated the effects of irrigation frequency on N2 and N2O emissions from an intensively managed pasture in the subtropics. Irrigation volumes were estimated to replace evapotranspiration and were applied either once (Low-Frequency) or split into four applications (High-Frequency). To test for legacy effects, a large rainfall event was simulated at the end of the experiment. Over 15 days, 7.9 ± 2.7 kg N2+N2O-N ha−1 was emitted on average regardless of irrigation frequency, with N2O accounting for 25% of overall N2+N2O. Repeated, small amounts of irrigation produced an equal amount of N2+N2O losses as a single, large irrigation event. The increase of N2O emissions after the large rainfall event was smaller in the High-Frequency treatment, shifting the N2O/(N2O+N2) ratio towards N2. Our findings suggest that reduced soil-gas diffusivity predominantly drives N2O and N2 emissions following large wetting events, while microbial O2 consumption largely drives N2O and N2 emissions after small, repeated wetting events in high N turnover pasture soils. The abundance of marker genes for N cycling did not differ between treatments, indicating that N and C availability, not gene abundance determined magnitude and N2O:N2 partitioning after rainfall. The observed legacy effect suggests that increased irrigation frequency can reduce the environmental impact (N2O), but not overall magnitude of N2O and N2 emissions from intensively managed pastures.
CO2 Emissions, Legal Strength &amp; Environmental Sustainability Policies; And FDI Nexus In Sub-Saharan Africa
Authors: Asiedu Michael , Aboagye Emmanuel Mensah , Arthur Benedict , Kyeremeh Gabriel 
Published: January 2022

Abstract
The study employed the two steps systems GMM technique to examine the effect of FDI inflow in 54 countries in Africa from 2004 -2020. The effects of FDI on the economy and growth are positive, provided that policymakers meet minimum conditions. The advantages of FDI are conditioned by the ability of the host country to assimilate technologies and by a local environment that is secure and transparent. The effects of FDI on the environment are inescapable. The results show that there is indeed a positive relationship between FDI inflows and CO2 emissions in Africa. The results also show that the intensity of CO2 emissions does depend on the increase in GDP growth (economic growth). However, with robust, sustainable environmental policies and legal quality, the effect of FDI inflow on CO2 emissions can be mitigated.
Identifying KRT20 as Key Gene in Lymphatic Metastasis of Head and Neck Squamous Cell Carcinoma
Authors: Zhang Yi-Fan , Huang Qiang , Huang Hui-Ying , Shen Yu-jie , Lau Hui-Ching , Guo Yang , Hsueh Chi-Yao , Ren Heng-Lei , Zhou Liang 
Published: January 2022

Abstract
Background
Head and neck squamous cell carcinoma (HNSCC) was the seventh-most-common cancer worldwide in 2018. Moreover, lymphatic metastasis (LM) closely relates to HNSCC’s prognosis and recurrence. However, mechanism driving LM remains unclear. Therefore, this study aimed to identify key genes in the LM of HNSCC.
Methods
We used The Cancer Genome Atlas (TCGA) to identify differentially expressed genes (DEGs) between LM and non-LM cases. Random Forest model, the Search Tool for the Retrieval of Interacting Genes (STRING), Cytoscape, and cytoHubba were used to identify hub genes in DEGs, including KRT20 (Cytokeratins 20). We analyzed survival and pan-cancer of KRT20 in the TCGA. After overexpressing KRT20 in HNSCC cell lines, migration and invasion were investigated. We analyzed KRT20’s expression in HNSCC tissue microarrays, as well as the survival and clinicopathological features.
Results
In total, we identified 243 DEGs—143 upregulated genes and 100 downregulated genes. Further analysis revealed KRT20 as a potential key gene associated with lymphatic metastasis and overall survival rates among patients with HNSCC. Overexpression of KRT20 increased migration and invasion ability of Tu686 and FD cells. Our analysis of tissue microarrays revealed an overexpression of KRT20 among N1+ patients. Survival analysis results and HNSCC tissue microarrays’ clinicopathological features were consistent with our analysis of the TCGA. Moreover, high level of KRT20 expression might suggest an adverse HNSCC prognosis. Additionally, our GSEA analysis revealed that KRT20 participates in many compounds’ metabolic pathways—including pathways related to tumorigenesis and development.
Conclusion
We proposed that KRT20 may be a key gene in HNSCC with LM.
Disinfection Strategies of Carbapenem-resistant Klebsiella Pneumoniae in a Healthcare Facility
Authors: Ni Lijia , Zhang Zhixian , Shen Rui , Liu Xiaoqiang , Li Xuexue , Chen Baiji , Wu Xiquan , Li Hongyu , Xie Xiaoying , Huang Songyin 
Published: January 2022

Abstract

Background: Carbapenem-resistant Klebsiella pneumoniae (CRKP) infections have become a major global public health challenge. Disinfectants play an important role in controlling horizontal transmission in healthcare facilities. However, the long and extensive routine use of disinfectants, and far less regulated, leading to concern about the development of disinfectant resistance. We detected the susceptibility of CRKP strains against seven kinds of disinfectants commonly used in clinic to guide and assist the infection control work in hospital. Methods: The minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) tests of seven kinds of disinfectants (0.1% benzalkonium bromide, 4% aqueous chlorhexidine, 75% alcohol, entoiodine II, 2% glutaraldehyde, 2000mg/L chlorine-containing disinfectants and 3% hydrogen peroxide) were detected by broth dilution method. Three efflux pump genes (oqxA、oqxB、and qacE△1-sul1) were detected by PCR. Results: A total of 162 strains of non-repetitive CRKP strains were isolated in SYS Memorial Hospital from 2015 to 2019. The MBCs expressed by diluted multiples of 64 CRKP strains against the seven kinds of disinfectants were 1-128, 16-32768, 2-64, 16-4096, 4-64, 2-8 and 64-2048, respectively. Aqueous chlorhexidine should be ≥ 2.5 g/L when rinsing or gargling mucous membrane and wound, 0.1% benzalkonium bromide should avoided be diluted, and chlorine-containing disinfectants should be ≥ 1000 mg/L. The mean MIC value of aqueous chlorhexidine from intensive care unit (ICU) (0.0034%) was significantly higher than that from non-ICU (0.0019%) (p < 0.05). The positive rates of three efflux pump genes oqxA, oqxB and qacE△1-sul1 were 68.8% (44/64), 15.6% (10/64) and 89.1% (57/64), respectively.Conclusion: The CRKP strains isolated showed extensive resistance to clinically used disinfectants, and the concentration of aqueous chlorhexidine and chlorine-containing disinfectants needs to be increased compared with the current standards of the healthcare industry. It reminds us to strengthen the monitoring of disinfectant resistance to super drug-resistant bacteria.