bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Serum Levels of Procalcitonin and C-Reactive Protein as Prognostic Indicators in Burns
Authors: Sinha Aparna , Sharma Mukesh Kumar , Tripathi Komal , Duggal Nandini , Tiwari Vinay Kumar 
Published: September 2021

Abstract
Background Burn is a leading cause of fatality in a developing country. C-reactive protein levels (CRP) and procalcitonin (PCT) can be prognostic indicators for the burn patients' mortality.
Aim To assess serial levels of serum PCT and serum CRP as prognostic indicators in burns.
Patient and Methods In patients admitted with burns, alternate-day serum PCT and CRP were measured from the time of admission until the time of discharge or until survival. The change in trends of CRP and PCT serum levels were studied, and it was then correlated with mortality among these burn patients.
Results The first-day value of serum PCT > 1772 pg/mL and serum CRP > 71 mg/mL or any value of serum PCT > 2163 pg/mL and of serum CRP > 90 mg/L indicate a poor prognosis in burns.
Conclusions The day-1 values of PCT and CRP were significantly higher in nonsurvivors than survivors in burns. The increasing trends of serum PCT and CRP levels are independent predictors of mortality in burns requiring prompt intervention. Rising PCT and CRP level denote poor prognosis in burns with an increased likelihood of death by 4.5 and 23.6 times, respectively.
Honeycomb-type retinal device using chemically derived iridium oxide biointerfaces
Authors: Tso Kuang-Chih , Fukunari Yuki , Hagita Mizuki , Haruta Makito , Takehara Hironari , Tashiro Hiroyuki , Sasagawa Kiyotaka , Wu Pu-Wei , Ohta Jun 
Published: September 2021

Long-term operational stability and high-efficiency neuron stimulation are key to the development of retinal prostheses. In this research, a retinal device with a chemically inert and flexible substrate is introduced, which satisfies these requirements. We have developed a honeycomb-type retinal device that has a high-performance electrode for suprachoroidal transretinal stimulation. The device structure, in which conjunctional bioceramic substrates are embedded with large numbers of stimulating electrodes, provides high-resolution electrical stimulation. The custom CMOS microchip precisely controls the stimulation delivery of the electrodes to initiate artificial vision, offering a partial remedy for retinal ophthalmic diseases. The CMOS chip design was optimized to drastically reduce the number of input wirings. A high-performance stimulating electrode based on iridium oxide was fabricated using a unique solution process called chemical bath deposition (CBD). The honeycomb-type retinal device, equipped with CBD-derived iridium oxide electrodes, was used to evaluate the electrodes’ and device’s performances in vitro.
Improved epilayer qualities and electrical characteristics for GaInN multiple-quantum-well photovoltaic cells and their operation under artificial sunlight and monochromatic light illuminations
Authors: Miyoshi Makoto , Nakabayashi Taiki , Yamamoto Kosuke , Dalapati Pradip , Egawa Takashi 
Published: September 2021

GaInN-based photovoltaic (PV) devices are highly promising for application to optical wireless power transmission (OWPT) systems as well as solar cells. This paper reports the research results of Ga0.9In0.1N multiple-quantum-well (MQW) PV cells on sapphire, focusing primarily on the growth temperature managements in metalorganic chemical vapor deposition (MOCVD) processes. As a result of the MOCVD study, the epilayer qualities in the PV cell structures improved significantly through the adoption of an optimized growth temperature for the GaInN MQWs and the two-step growth for the top p-GaN layers. Furthermore, the improved epilayer qualities resulted in the decrease in carrier recombination currents and series resistance for the forward diode characteristics without a light illumination. Subsequently, a sample with the improved qualities exhibited a higher open-circuit voltage and a higher fill factor in the PV characteristics. Eventually, the highest power conversion efficiency (PCE) in this study was measured to be 1.6% at a 1-sun solar spectrum and 42.7% at a monochromatic light illumination with 389 nm in wavelength and 5 mW cm−2 in optical power density. The dependency of the PV performance on the optical power densities at a monochromatic light illumination predicted that a higher PCE value may be achievable at a higher optical-power-density illumination. This is a very promising prediction when considering the practical application to OWPT systems.
Quantifying the effects of Sn on θ′-Al2Cu precipitation kinetics in Al–Cu alloys
Authors: Zhang Mingshan , Wang Junsheng , Wang Bing , Xue Chengpeng , Qian Feng , Liu Xiaoguang , Guan Shaokang 
Published: September 2021

In this study, the effects of 0.14 wt-% Sn on accelerating the precipitation kinetics during heat treatment are quantified. By calculating the activation energy of θ′ phase, it was found that the combined additions of Cu and Sn can reduce the energy barrier and increase the number density of the θ′ phase in the peak aged state, and thus improving yield strength and ultimate tensile strength from 239 and 318 to 445 and 457 MPa, respectively. Based on the quantitative analysis of the θ′ phase, it was found that with the combined additions of Cu and Sn, the average length of the θ′ phase increased from 18.11 to 25.82 nm, and the number density increased from 2.17 × 1021 to 4.62 × 1021 m−3.
Progress of superconducting nanofibers via electrospinning
Authors: Xie Guixu , Cheng Guoting , Zhu Dongyang , Yan Jiashu , Ma Junqing , Lv Tianyang , Zhang Jun , Han Wenpeng , Long Yun-Ze 
Published: September 2021

Abstract
Superconducting nanofibers have attracted much attention in basic researches and practical applications due to their unique physical properties such as broad phase transition temperature, excellent heat conductivity, and high critical current density, etc. Electrospinning, as a common method to prepare nanofibers, also has many applications for the preparation of superconducting nanofibers. However, a few of the new methods to fabricate superconducting nanofibers via electrospinning still need further investigations. This review firstly introduces several potential electrospinning methods to obtain superconducting nanofibers, then proceeds to summarize the recent progress in the field of electrospun superconducting materials. The preparation process, difficulties and problems, physical properties of the superconducting nanofibers or nanonetworks (such as superconducting transition temperature, critical current density, critical magnetic field strength, fiber morphology, and structure, etc), theoretical analysis of the properties, and the techniques to improve the performance are also reviewed. In addition, some suggestions and prospects for the development and applications of electrospun superconducting materials in the future are discussed.
Normal-state negative longitudinal magnetoresistance and Dirac-cone-like dispersion in PtPb4 single crystals: a potential Weyl-semimetal superconductor candidate
Authors: Wang Li-Min , Lin Sheng-En , Shen Dong , Chen I-Nan 
Published: September 2021

Abstract
Magnetotransport measurements of PtPb4 single crystals with the T
c of ∼2.80 K reveal pronounced exotic topological nature. An anomalous negative longitudinal magnetoresistance (MR) related to the chiral anomaly and a linear-like transverse MR examined within the framework of quantum MR theory were studied. Results indicate the presence of chiral-anomaly-induced quantum transport associated with the Weyl states and show a Dirac-cone-like band dispersion in PtPb4. This work reveals the drastic impact of the concept that the surface electrons in a Weyl fermion state may dominate the normal-state magnetotransport in PtPb4, leading to the conclusion that PtPb4 can be a Weyl-semimetal superconductor candidate.
Topological Properties of Malaysian Shariah-Compliant Securities
Authors: Bahaludin H , Mahamood F N A , Abdullah M H 
Published: September 2021

Abstract
This research analyses the topological structure of shariah-compliant securities listed in the Bursa Malaysia market from a network perspective. The network is established from the relationships between the top hundred shariah-compliant securities based on market capitalization from 2015 to 2019. The minimum spanning tree (MST) technique applies to produce and portrays a simpler network. Besides, topological properties are explored and examined further to extract the structure embedded and entrenched in the network. As a result, this paper reveals that shariah-compliant securities with different sectors which were interconnected in the Malaysian market., In general, the securities with the same sectors tend to cluster together in the network. The topological properties provide insight to the market participants, especially investors, for the investment strategies.
Eco-lexicon Forms in Children Book of North Sumatran Folktales
Authors: Yusuf M , Widayati D , Mbete A M , Aswani A 
Published: September 2021

Abstract
This present study attempts to depict the eco-lexicon form discovered in children’s North Sumatran folktales (CBNSF) book about primary food. The qualitative content analysis method was utilized as the research design. The data source was three folktales from a children’s book entitled “Asal Usul: Bunga Rampai Cerita Rakyat Sumatera Utara” under the primary theme food. The data were in the form of roots, derivative words, and phrases taken by using documentation technique. The results show that eco-lexicon forms related to primary food folktales are words (noun, verbs, and adjectives) in the form of phrase (noun phrase, and adjective phrase. Affixation in the data was found in prefix, suffix, and simulfix, which form noun and verb. Furthermore, the reference deals with biotic (plantae and animaliae) and abiotic reference. Therefore, it can be concluded that eco-lexicon in CBNSF was various.
A quantum pseudo-random number generation scheme
Authors: Jiang Yinghua , Liu Biao , Guo Chenfei , Zhao Jiangbo 
Published: September 2021

AbstractQuantum random key distribution based on physical properties of quantum mechanics has high security and true randomness, but it has the disadvantages of low key generation efficiency and high cost. The classic pseudo-random number generator has the advantages of simple algorithm and high key generation efficiency, but it has extremely strict requirements on the security and randomness of the "seed". Based on the analysis of two unrelated technologies, this paper proposes a pseudo-random number generation scheme based on quantum key distribution. This scheme makes full use of quantum key distribution to share a short quantum random number-seed between the two communicating parties, then inputs the seed into a pseudo-random number generator. Finally, the two communicating parties share a long random number to encrypt the communication content. Research shows that compared with classic quantum key distribution and classic pseudo-random number generator, this scheme has stronger security, better randomness, and higher key generation efficiency.
Data analysis and optimized implementation of call center prediction outside call algorithms
Authors: Ma Li , Shen Junyi 
Published: September 2021

Abstract
With the increasing outgoing business volume of call center system, reducing waiting time and improving outgoing call efficiency have become the research focus of outgoing call center. The average idle time distribution of existing outgoing call algorithms in call centers is unstable and the call loss is high. According to the distribution of call length, the mathematical expectation of the number of call end is obtained; the probability of different call end is calculated, and the outgoing call speed is adjusted in time. The predictive out call algorithm is analyzed and optimized. After optimization, the distribution of average idle time is more stable, and the call loss rate is effectively reduced, which is basically controlled within 2%. The proposed algorithm only depends on the average ringing time, which increases the reliability of the algorithm adjustment. The proposed algorithm adjusts the outgoing call speed in time, and the average idle time is more stable. It effectively reduces the outgoing call loss and improves the outgoing call efficiency.
Research on the improved algorithm of radar signal sorting based on maximum SNR
Authors: Zhang Xinglong , Zheng Zhe , Feng Jianqing , Wei Xiangquan 
Published: September 2021

Abstract
This paper proposes an improved radar signal sorting algorithm based on the maximum signal-to-noise ratio criterion, aiming at the high computational complexity or poor separation effect of traditional signal sorting algorithms. The algorithm uses the maximum signal-to-noise ratio when the independent signals are completely separated to establish an objective function. The source signal is replaced by the mixed signal processed by the adaptive length moving average. The extreme value problem of the objective function is transformed into a generalized eigenvalue problem. Compared with the traditional method, the improved algorithm not only retains the separation effect of the traditional information theory sorting algorithm, but also has lower computational complexity. Experimental simulation proves that the algorithm can separate linearly aliased radar signals more effectively.
Data transmission system of networked digital voice room based on Internet of Things technology
Authors: Du Jian 
Published: September 2021

Abstract
In order to solve the problem of poor transmission performance caused by data congestion in network digital language lab, its data transmission system is designed based on the technology of internet of things. In the hardware part, the main control circuit and transmission interface circuit are designed to reduce the signal reflection caused by the change of line width and angle. In the software part, the data transmission compression algorithm is designed to reduce the communication overhead. The internet of things technology is used to set data transmission nodes, and the weighted fairness data transmission protocol is set to control the energy efficiency of transmission. The random key pre-distribution scheme based on the hash key chain is used to construct the data security transmission model. The experimental results show that, compared with the data transmission system based on data mining and cloud computing, the designed system achieves the lowest word error rate and sentence error rate, and has better data transmission performance.
Architecture design of big data analysis platform for smart grid in rural areas
Authors: Song Jinghui , Su Leitao 
Published: September 2021

Abstract
The power grid is facing more and more challenges with the development of new energy. Thus, uncoordinated network load and local heavy overload problems always affect the development of rural power grid, especially the impact of voltage quality and power supply reliability on the rural power grid. According to the characteristics of rural power grid, firstly, the work establishes the overall architecture of smart grid big data analysis platform and then analyzes the software functions and hardware configuration of the platform, finally, discusses the deployment mode of rural big data platform and power grid big data analysis platform. Furthermore, it introduces the technical principle and data transmission principle of smart grid big data analysis platform. Finally, the paper emphasizes that we should build a rural intelligent big data analysis platform according to building a green and transparent smart platform area and building an integrated and open intelligent cockpit.
The Schwinger action principle for classical systems*
Authors: Bermúdez Manjarres A D 
Published: September 2021

Abstract
We use the Schwinger action principle to obtain the equations of motion in the Koopman–von Neumann operational version of classical mechanics. We restrict our analysis to non-dissipative systems. We show that for velocity-independent forces the Schwinger action principle can be interpreted as a variational principle.
Screening of copper resistant microorganisms in mines and mathematical modeling of bioaccumulation and extracellular nanoparticle biosynthesis by Bacillus cereus
Authors: Elahian Fatemeh , Safaei Mohsen , Khanduzi Fahimeh , Valinejad Hossein , Bagheri Mitra , Afshari Vahid , Mohseni Mehran , Mirzaei Seyed Abbas 
Published: September 2021

Abstract
Some microorganisms were isolated from copper mines and recognized as copper resistant. Genotyping was conducted using 16srDNA sequencing. The bioaccumulation and extracellular nanoparticle biosynthesis were conducted for Bacillus cereus under the varying copper concentration range using mathematical modeling. AFM, TEM, and particle size analyzer were used for the characterization and the nanoparticle analyses. Cell toxicity was assayed against human cells. Maximum biosorption capacities were 1200 or 2500 μg g−1 when 0.5 or 1 mg ml−1 CuSO4 was provided for the bacillus cells, respectively. In contrast, extracellular bioreduction kinetics revealed a threefold change from ≈250 to 700 μg ml−1 in the same treatment conditions. No time shift was recorded for reaching the maximum extra/intra nano-copper synthesis in both copper concentration models. Bacillus cereus synthesized nano-coppers within a range of 80–150 nm. Metal nanoparticles were at least twofold less toxic than their copper sulfate on the human cells and T47D was the most resistant cell against nano-coppers. The toxicity effects were dose-dependent, time-dependent, and also organism- and heavy metal type-dependent. The results revealed that the copper-resistant Bacillus cereus is a robust and high-throughput microorganism for intracellular and extracellular nano-copper biosynthesis.
Application of non-contact strain measurement based on CCD camera in PMMA material constitutive model
Authors: Qian Xiaohui , Ma Xiaoyan , Heng Yuekun , He Wei , Tang Hongqiang , Hou Shaojing , Pei Yatian 
Published: September 2021

Abstract
The Jiangmen Underground Neutrino Observation (JUNO) will build a polymethyl methacrylate (PMMA) spherical vessel of a diameter of 35.4 meters. The constitutive model of PMMA is a key parameter for the design of PMMA structure. The bulk polymerization bonding area is often the weak point of the PMMA structure, so it is useful to understand the constitutive model of bonding areas for FEA. However, the traditional contact strain measurement methods, such as the strain extensometer and resistance strain gauge, will have an impact on the strain of PMMA, as the lossy measurement. Traditional measuring methods also can’t measure the small-sized bonding areas as 3 mm in most structures. The non-contact strain measurement method based on the CCD camera is studied. The tensile test result shows that the influence of environment on the strain value is less than 0.01%. The two strain measurement methods, the CCD camera and strain extensometer, are compared. The strain curves obtained by the two methods are highly consistent, and the maximum strain difference is 8.53 e-4. The fracture strain of the PMMA tensile specimen is 4.32% and slight plastic deformation has occurred. The Zhu-Wang-Tang (ZWT) nonlinear viscoelastic constitutive model of PMMA is obtained by fitting the stress-strain data. The tensile test result of PMMA specimen with bulk polymerization bonding area shows that the constitutive equations are different when the length ratio of the bonding area is different. By analyzing the relationship between the length ratio and the coefficients of constitutive equation, the constitutive equation of the bonding area is finally obtained. The results show that the coefficient

E

0

of the constitutive equation of the bonding area is smaller than that of the mother material. The fracture strain of PMMA specimen with bonding area is 2.60%, lower than that of mother material, which makes the coefficient

β

of the bonding area constitutive equation opposite to the sign of the mother material. The tensile strength of specimen with bonding area is about 85.68% of that of the mother material. The lower tensile strength makes the bonding area become one of the weak points of the structure.
Improved estimation of model quality using predicted inter-residue distance
Authors: Ye Lisha , Wu Peikun , Peng Zhenling , Gao Jianzhao , Liu Jian , Yang Jianyi 
Published: September 2021

Abstract

Motivation
Protein model quality assessment (QA) is an essential component in protein structure prediction, which aims to estimate the quality of a structure model and/or select the most accurate model out from a pool of structure models, without knowing the native structure. QA remains a challenging task in protein structure prediction.

Results
Based on the inter-residue distance predicted by the recent deep learning-based structure prediction algorithm trRosetta, we developed QDistance, a new approach to the estimation of both global and local qualities. QDistance works for both single- and multi-models inputs. We designed several distance-based features to assess the agreement between the predicted and model-derived inter-residue distances. Together with a few widely used features, they are fed into a simple yet powerful linear regression model to infer the global QA scores. The local QA scores for each structure model are predicted based on a comparative analysis with a set of selected reference models. For multi-models input, the reference models are selected from the input based on the predicted global QA scores. For single-model input, the reference models are predicted by trRosetta. With the informative distance-based features, QDistance can predict the global quality with satisfactory accuracy. Benchmark tests on the CASP13 and the CAMEO structure models suggested that QDistance was competitive with other methods. Blind tests in the CASP14 experiments showed that QDistance was robust and ranked among the top predictors. Especially, QDistance was the top 3 local QA method and made the most accurate local QA prediction for unreliable local region. Analysis showed that this superior performance can be attributed to the inclusion of the predicted inter-residue distance.

Availability and implementation
http://yanglab.nankai.edu.cn/QDistance.

Supplementary information
Supplementary data are available at Bioinformatics online.