bluuebunny/crossref_metadata_2025_split huggingface dataset:
The diagnostic and prognostic value of mature and total adrenomedullin for sepsis: a prospective, observational study
Authors: Yonaha Tetsu , Maruta Toyoaki , Otao Go , Igarashi Koji , Nagata Sayaka , Yano Takeshi , Taniguchi Masahiko , Kitamura Kazuo , Tsuneyoshi Isao 
Published: March 2021

Abstract
Background: Biologically active adrenomedullin (mature AM) has received considerable attention as a new biomarker of sepsis and septic shock. However, information about this peptide is limited. In this study, we further investigated the value of mature AM for diagnosis and outcome prediction in sepsis.Methods: This was a prospective, observational, single-centre study. Patients admitted to the intensive care unit (ICU) were retrospectively categorised into non-sepsis or sepsis groups, according to the Sepsis-3 definitions. Plasma levels of mature and total (the sum of the levels of intermediate and mature forms) AM were measured, and their usefulness was compared with those of other sepsis biomarkers, such as procalcitonin and presepsin. Results: Of the 98 patients included in the final analysis, 42 were assigned to the non-sepsis and 56 to the sepsis group. Levels of mature and total AM on admission were significantly higher in patients with sepsis than in those without sepsis. The areas under the receiver operating characteristic curves of mature and total AM for predicting 28-day mortality in patients with sepsis became significant on day 3 after admission. A good correlation between the AM forms was found, indicating that the changes in their plasma levels may directly reflect each other.Conclusion: Because the levels of mature and total AM increased significantly in patients with sepsis on admission, both forms may be used as reliable and early biomarkers for diagnosing sepsis according to the Sepsis-3 definitions. However, prediction of 28-day mortality in such patients would require several days of ICU stay.
A Bayesian spatio-temporal analysis of malaria in the Greater Accra Region of Ghana from 2015 to 2019.
Authors: Donkor Elorm , Kelly Matthew , Eliason Cecilia , Amotoh Charles , Gray Darren , Clements Archie , Wangdi Kinley 
Published: March 2021

Abstract
Efforts towards malaria control in Ghana have had positive impacts. However, these efforts need to be locally tailored to further accelerate progress. The aim of this study was to examine the climatic drivers of malaria transmission in the Greater Accra Region and identify inter-district variation of malaria burden. Monthly malaria cases for the Greater Accra Region were obtained from the Ghanaian District Health Information and Management System. Malaria cases were decomposed using the seasonal-trend decomposition, based on locally weighted regression to analyse the seasonality. A Poisson regression model with a conditional autoregressive prior structure was used to quantify associations between climatic variables and malaria risk, and spatial dependence. Posterior parameters were estimated using Bayesian Markov chain Monte Carlo simulation with Gibbs sampling. A total of 1,105,370 malaria cases was recorded in the region from 2015–2019. The overall malaria incidence rate for the region was approximately 1 per 1,000,000 population. Malaria transmission was highly seasonal with an irregular inter-annual pattern. Malaria incidence was found to increase by 0.1% (95% credible interval [CrI]: 0.02–0.16%) for a 1°C rise in monthly maximum temperature lagged at 6 months and 0.2% (95% CrI: 0.5–0.3%) for 1°C rise in monthly minimum temperature without lag. No spatial dependency was observed after accounting for climatic variables. Only five districts located in the south-central part of the region had a malaria incidence rate that was lower than the regional average at > 95% probability level. The distribution of malaria cases was heterogeneous, seasonal and significantly associated with climatic variables. Targeted malaria control and prevention in high-risk districts at the appropriate time points could result in a significant reduction in malaria transmission in the Greater Accra Region.
Prediction of the prognosis of somatoform disorders using the Minnesota Multiphasic Personality Inventory (MMPI)
Authors: Sato Akiko , Itagaki Syuntaro , Matsumoto Takatomo , Ise Yoko , Yokokura Syunya , Wada Tomohiro , Hayashi Kaoru , Kakamu Takeyasu , Fukushima Tetsuhito , Nikaido Takuya , Konno Shinichi , Yabe Hirooki 
Published: March 2021

Abstract
Background: To elucidate the possibility of using the Minnesota Multifaceted Personality Inventory (MMPI) to predict the prognosis of somatoform disorders, which are often treatment-resistant, we investigated the prognosis of somatoform disorders predicted using the MMPI. Methods: During the period from January 1, 2013, to December 31, 2017, 125 cases of somatoform disorder were diagnosed in the psychiatric department of Fukushima Medical University Hospital, among which, 67 were consultation-liaison psychiatry cases and 58 cases were only psychiatric cases. Clinical information, MMPI scores, and prognosis information were collected from medical records in each case, and then statistical analysis was performed. Results: The results showed that the unchanged group had significantly higher scores than the improved group on only the Hy scale. Receiver operating characteristic analysis of the Hy scale scores of the improved and unchanged group was then conducted to calculated a cutoff value. The cutoff point was 73.5 with a sensitivity of 0.557 and a specificity of 0.717. Conclusion: For patients diagnosed with somatoform disorder who had an MMPI Hy scale score higher than the cutoff value, improvement with conventional supportive psychotherapy or drug therapy was predicted to be difficult. Therefore, the cutoff point identified in this study appears to be an important index for selecting treatment for somatoform disorders.
Trilateral Spearman Katz Centrality Based Least Angle Regression for Influential Node Tracing in Social Network
Authors: P. VIMAL KUMAR , C. Balasubramanian 
Published: March 2021

Abstract
With the epidemic growth of online social networks (OSNs), a large scale research on information dissemination in OSNs has been made an appearance in contemporary years. One of the essential researches is influence maximization (IM). Most research adopts community structure, greedy stage, and centrality measures, to identify the influence node set. However, the time consumed in analyzing the influence node set for edge server placement, service migration and service recommendation is ignored in terms of propagation delay. Considering the above analysis, we concentrate on the issue of time-sensitive influence maximization and maximize the targeted influence spread. To solve the problem, we propose a method called, Trilateral Spearman Katz Centrality-based Least Angle Regression (TSKC-LAR) for influential node tracing in social network is proposed. Besides, two algorithms are used in our work to find the influential node in social network with maximum influence spread and minimal time, namely Trilateral Statistical Node Extraction algorithm and Katz Centrality Least Angle Influence Node Tracing algorithm, respectively. Extensive experiments on The Telecom dataset demonstrate the efficiency and influence performance of the proposed algorithms on evaluation metrics, namely, sensitivity, specificity, accuracy, time and influence spread
Mechanical and Tribological Properties of Nitrile Rubber Reinforced by SiO2: Molecular Dynamics Simulation Mechanical and Tribological Properties of Nitrile Rubber Reinforced by SiO2: Molecular Dynamics Simulation
Authors: Liu Xueshen , Zhou Xincong , Kuang Fuming , Zuo Houxiu , Huang Jian 
Published: March 2021

Abstract
This paper investigated the mechanism of enhancing the mechanical and tribological properties of nitrile rubber (NBR) with SiO 2 on the molecular scale. Molecular dynamics (MD) simulations were performed on molecular structure models of pure NBR, NBR/SiO 2 and three-layer friction pairs. The results showed that the hydrogen bonds and interfacial interaction between SiO 2 and NBR molecular chains decreased the fractional free volume of NBR nanocomposites, and increased the shear modulus of NBR by 25% compared with that of pure NBR. During the friction process, SiO 2 decreased the radius of gyration of NBR molecular chains and effectively lowered the peak atomic velocity, the peak temperature and the peak friction stress at the interface between NBR and copper atoms. The average friction stress on NBR/SiO 2 was 34% lower than that on NBR, which meant the tribological properties of NBR were significantly improved by SiO 2 . The mechanism of SiO 2 reinforcing NBR on a molecular scale can lay a theoretical foundation for the design of water-lubricated rubber bearings.
Land Misallocation and Urban Air Quality in China&nbsp;
Authors: Liu Jianjiang , Jiang Zhuqing , Chen Weitao 
Published: March 2021

Abstract
In China, local government's "land for development" strategy has led to a large number of urban construction land allocated to the industrial field, which has promoted the rapid development of industry and economy in the short term, but also brought serious environmental quality losses. This paper systematically sets out how land misallocation works on urban air quality and employs the spatial Durbin model (SDM) to conduct an empirical analysis on the panel data of 283 China's cities at or above the prefecture level. The result shows that, stimulated by financial maximization and political promotion, in order to obtain more fiscal revenue and growth performance, local governments prefer to allocate a large number of urban construction land to industry and related fields, which leads to the underestimation of industrial land price and the misallocation of land resources. Land misallocation has exerted significant inhibiting effects on the air quality of local and their surrounding cities through inhibiting the upgrading of industrial structure. Further analysis reveals that the bigger the city, the less the inhibition effects of land misallocation on upgrading of industrial structure and urban air quality, and vice versa. The conclusions of this paper can provide useful reference for local governments to optimize land allocation, promote economic restructuring and environmental quality upgrading. JEL Classification: R52; E62; P28
A Bivariate Chebyshev Polynomials Method for Nonlinear Dynamic Systems With Interval Uncertainties
Authors: Wei Tonghui , Li Feng , Meng Guangwei 
Published: March 2021

Abstract
A bivariate Chebyshev polynomials approach is proposed to estimate the dynamic response bounds of nonlinear systems with interval uncertainties. The existing collocation method directly searches the maximum and minimum values of the surrogate model in the entire interval space by the scanning method (SM). The presence of too many uncertain parameters will lead to expansive computational cost. To overcome this shortcoming, the dynamic response is decomposed by a bivariate function decomposition (BFD), established based on high-order Taylor expansion, into the sum of multiple univariate and bivariate response functions. The above univariate and bivariate functions are fitted using Chebyshev polynomials, and polynomial coefficients are obtained through one-dimensional (1D) and two-dimensional (2D) interpolation points. Thus, the solution of the nonlinear dynamic systems with uncertain parameters can be transformed into that of univariate and bivariate Chebyshev interval functions. The extremum values of the low-dimensional Chebyshev interval functions can be found by SM, and then the bounds of dynamic response are acquired by interval arithmetic. Since SM searches for extreme values only in 1D and 2D uncertain domains, the amount of calculation is reduced compared to searching the whole uncertain space. The efficiency, practicability and effectiveness of the proposed interval uncertainty analysis method are proved by three dynamic examples.
Increased Malat1 Expression Predicts Poor Prognosis in Primary Gastrointestinal Diffuse Large B-cell Lymphoma
Authors: Qian Zhengzi , Chen Leiyuan , Wang Xinyuan , Kan Yutian , Wang Yafei , Yu Yong , Wang Xiaofang , Zhao Zhigang , Yang Hongliang , Ge Peng , Ding Tingting , Zhai Qiongli , Zhao Haifeng 
Published: March 2021

Abstract
Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) has been involved in the pathogenesis and progression of several cancers. However, the exact effect of MALAT1 in primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL) has not been elucidated. This study aimed to explore the prognostic value of MALAT1 in PGI-DLBCL patients. Quantitative real-time Polymerase Chain Reaction (qRT-PCR) was performed to detect the expression of MALAT1 in 90 patients with PGI-DLBCL. MALAT1 was remarkably up-regulated in PGI-DLBCL tissues as compared to that of paired adjacent non-tumor tissues (P<0.001), and the area under the ROC curve (AUC) was 0.838. MALAT1 expression was further increased in the non-germinal center B-cell-like (non-GCB) group, advanced stage (stages IIE-IV) group and International Prognostic Index (IPI) score (3-5) group (P=0.01, P<0.001and P<0.001, respectively). Furthermore, Kaplan-Meier analysis showed that elevated MALAT1 expression was correlated with inferior Overall survival (OS) and progression free survival (PFS) in PGI-DLBCL patients (P<0.001and P<0.001, respectively), and multivariate analysis suggested that up-regulation of MALAT1 and high IPI score (3-5) were two unfavorable prognostic factors of PGI-DLBCL. In conclusion, our results demonstrates that MALAT1 might serve as a novel prognostic biomarker and an ideal therapeutic target for PGI-DLBCL patients in the future.
Influence of Compression Coil Geometry in Electromagnetic Forming Using Experimental and Finite Element Method
Authors: Soni Manoj , Ahmed Meraj , Panthi Sanjay Kumar , Kumar Surendra , Gavel Khushwant Singh 
Published: March 2021

Abstract
Electromagnetic forming process is a high velocity forming technique which is widely used in automotive and aerospace sectors for forming and joining metallic sheet/tubes. The geometrical structure of compression coil have significant effect on the performance of the system in terms of current output and deformation of workpiece. The present work aims to analyse the effect of structural parameters of compression coil like cross-section of turns (X), pitch circular diameter (PCD) and effective turn (n) using both experimental and numerical simulation. A bitter compression coil of variable geometrical structure have been considered to see the effect of its parameters by deforming an AA6061 tube experimentally. Parameters like magnetic field, velocity, Lorentz force, displacement and stress are difficult to measure experimentally but have significant indication on performance of the coil in EMF. The trends of numerically predicated parameters find good agreement with experimental deformation value of tube. The Finite element analysis is carried out to correlate deformation results.The results indicate that n have higher significant in performance of compression coil as compared to X and PCD of coil.
Mental health-related impact applying a scalp cooling technology solution in chemotherapy: a scoping review
Authors: Ranieri Jessica , Guerra Federica , Giacomo Dina Di 
Published: March 2021

Abstract
Background and ObjectiveA scalp cooling system, particularly, a digitised scalp-cooling system, is currently assuming an important role during adjuvant treatment within the oncological setting, promising the prevention of hair loss and turning an efficient procedure to reinforce the mental health of patients during chemotherapy by preventing chemotherapy-induced alopecia (CIA). We conducted a scoping review to map the literature on the efficacy of the scalp cooling technology in chemotherapy. We focused on the efficacy of the scalp cooling system in preventing CIA and the associated mental health effects, such as reducing mood changes, depression, anxiety, anger, sleep disorders, and fatigue.MethodsWe performed a systematic search of MEDLINE via PubMed, Embase, Web of Science, PsycINFO, and Scopus in May 2020. We conducted a descriptive analysis of the characteristics of the included literature. Based on the exclusion/inclusion criteria, a total of 17 articles were included in the scoping review process.ResultsThis review demonstrated the lack of research on the efficacy of adopting the scalp cooling system as preventive care for the well-being of patients through the prevention of their hair loss. Nevertheless, research on this topic is progressively increasing, and future studies should address specific key points.ConclusionThis study aimed to identify emerging and urgent research domains in order to design better clinical outcomes for innovative solutions, integrating the physical and mental health of oncological patients in survivorship.
Deoxygenation of oleic acid methyl ester in FCC process conditions over protonated and sodium exchanged Y and ZSM-5 zeolites
Authors: Padilha Jose Fernando , Frety Roger , Santos Alane P. , Pontes Luiz A. M. , Santos Marilia Ramalho , Arias Santiago , Pacheco Jose Geraldo Andrade 
Published: March 2021

Abstract
One way to take advantage from out of specification biodiesel and waste from biodiesel tank bottom drainage is to co-process them in a fluidized catalytic cracking (FCC) unit. The present work deals with the cracking of oleic acid methyl ester (OAME) as a biodiesel model, under conditions close to that of FCC process over ZSM-5 and Y zeolites, either in protonated or sodium forms, for the production of deoxygenated compounds. Catalytic fast cracking of OAME pre-adsorbed on the catalyst surface was performed, with a catalyst:OAME mass ratio of 10:1 in a micro-pyrolysis system at 650°C, coupled to a GC/MS for on line analysis of the products. Results show that the cracking of OAME without a catalyst favored the formation of linear alkenes and polyenes. Fast cracking of OAME over HZSM-5 and HY acidic zeolites led to the production of aromatics, due to hydrogen transfer. Cracking over NaY and HY zeolites produced remarkable amounts of ramified saturated hydrocarbons. The formation of alkylated hydrocarbons was not significant over ZSM-5 zeolite probably due to a small pore size of this zeolite. NaY catalyst favored the production of hydrocarbons in the range of kerosene (C8-C12). Low acidic zeolites favored the production of non-aromatic hydrocarbons. Product distribution was affected by catalyst shape selectivity and acidity. These results show that residues from the biodiesel chain can be directly co-processed in FCC units to obtain high value hydrocarbons, mainly in the jet fuel and gasoline ranges.
Marine by-products tested as feed for almaco jack Seriola rivoliana and their effect on fatty acids and sterols in different tissues.
Authors: Benitez-Hernández Asahel , Palacios Elena , Arjona Olivia , Civera-Cerecedo Roberto 
Published: March 2021

Abstract
Marine by-products can compose up to 70% of the total weight of produce from fisheries; most of these by-products are discarded. However, these by-products are rich in highly unsaturated fatty acids that are not synthetized by most marine animals that are produced by aquaculture. Here, we used three marine by-products (shrimp head, Catarina scallop viscera, and Pen shell viscera) to produce meals without the step used to separate lipids as is traditionally done; this separation can promote hydrolysis of lipids and ultimately, oxidation of fatty acids and sterols. Lipid-rich meals were used to partially substitute commercial fishmeal on feeds that were used to grow almaco jack (Seriola rivoliana) juveniles for 10 weeks. The content of 20:5n-3 and 22:6n-3 in tissues of fish fed shrimp and Pen shell presented values similar to controls, but the former had had a better effect on growth, lipid, and phytosterols levels. However, Catarina meal had lower concentration of 20:4n-6 and 22:6n-3 but higher proportion of 20:4n-6 in muscle and 22:6n-3 in liver, indicating a selective conservation in relation to other fatty acids. Catarina meal contained traces of 18:5n-3 (0.02 g/kg) indicating that these scallops, albeit their healthy aspect, were in contact with toxins (okadaic acid) produced by dinoflagellates, a setback that needs to be addressed previous to meal manufacturing. In conclusion, marine by-products processed to maintain lipid composition can be used to reduce the use of fishmeal in the diet, and their use improve the lipid content and growth compared to control diet with fishmeal.
An Empirical Study on Industrial Ecological Efficiency in Arid Resource Exploitation Region of Northwest China
Authors: Zhou Xudong , Xue Zhengkai , Seydehmet Jumeniyaz 
Published: March 2021

Abstract
Located in the northwest of China, Xinjiang is a typical arid desert area and mineral resources development zone. Lacking water resources and a fragile ecological environment restricts the sustainable development of the region. Based on the industrial panel data of Xinjiang from 2001 to 2015, this paper uses the Undesirable Output SBM model, Malmquist index model, and Tobit regression model to comprehensively and systematically measure and evaluate the industrial eco-efficiency and its change characteristics from provincial, regional and prefectural levels. The results show that:(1) The level of industrial eco-efficiency in Xinjiang is generally low, lower than the national average, but it has been rising steadily over time, from 0.36 in 2001 to 1.00 in 2008, and from 0.41 in the "Tenth Five-Year Plan" period to 0.99 in the "Twelfth Five-Year Plan" period. (2) The industrial ecological efficiency of Xinjiang is not balanced in space. Northern Xinjiang is larger than that of eastern Xinjiang and southern Xinjiang. The prefectures have uneven and asynchronous development, which can be divided into two development modes: industrial region and agriculture and animal husbandry region. (3) Through the decomposition analysis of the Malmquist index, it is found that the technology progress index is the restriction factor of the changing trend of TFP, while the technical efficiency index and the pure technical efficiency index are the promoting factors. (4) The main factors causing the loss of ecological efficiency are industrial sulfur dioxide emissions, industrial nitrogen oxide emissions, total industrial water consumption, general industrial solid waste. It can be seen that the emission of air pollutants and excessive industrial water are the main problems in the region. (5) Industrial ecological efficiency is positively correlated with industrial development level, scientific and technological innovation, industrial structure, and environmental planning, and negatively correlated with opening up and industrial agglomeration degree. (6) Xinjiang is an extremely arid and water-scarce region. These are the key and prerequisite of saving water resources and strengthening the comprehensive utilization of water resources. Water- saving should be given top priority no matter in industrial areas, or agricultural and animal husbandry areas.