bluuebunny/crossref_metadata_2025 huggingface dataset:
Intratumoral Susceptibility Signals Reflect Biomarker Status in Gliomas
Authors: Kong Ling-Wei , Chen Jin , Zhao Heng , Yao Kun , Fang Sheng-Yu , Wang Zheng , Wang Yin-Yan , Li Shou-Wei
Published: November 2019

Susceptibility-weighted imaging (SWI) can be a useful tool to depict vascular structures in brain tumors as well as micro-bleedings, which represent tumor invasion to blood vessels and could also be representative of tumoral angiogenesis. In this study, we investigated the relationship between SWI features and glioma grades, and the expression of key molecular markers isocitrate dehydrogenase 1 (IDH1), O-6-methylguanine-DNA methyltransferase (MGMT), and 1p19q. The gliomas were graded according to the intratumoral susceptibility signals (ITSS). We used the Mann-Whitney test to analyze the relationship between ITSS grades and the pathological level and status of these markers. Additionally, the area under the curve (AUC) was used to determine the predictive value of glioma SWI characteristics for the molecular marker status. In these cases, the ITSS grades of low-grade gliomas (LGG) were significantly lower than those of high-grade gliomas (HGG). Similarly, the ITSS grades of gliomas with IDH1 mutations and MGMT methylation were significantly lower than those of gliomas with Wild-type IDH1 and unmethylated MGMT. However, ITSS grades showed no relationship with 1p19q deletion status, while they did show significant predictive ability for glioma grade, IDH1 mutation, and MGMT methylation. These findings indicate an association between some molecular markers and cerebral microbleeds in gliomas, providing a new avenue for non-invasive prediction of molecular genetics in gliomas and an important basis for preoperative personalized surgical treatment based on molecular pathology.
Author Correction: The population structure of Clostridium tetani deduced from its pan-genome
Authors: Chapeton-Montes Diana , Plourde Lucile , Bouchier Christiane , Ma Laurence , Diancourt Laure , Criscuolo Alexis , Popoff Michel Robert , Brüggemann Holger
Published: November 2019

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Publisher Correction: Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis
Authors: Taneja Ishan , Reddy Bobby , Damhorst Gregory , Zhao Sihai Dave , Hassan Umer , Price Zachary , Jensen Tor , Ghonge Tanmay , Patel Manish , Wachspress Samuel , Winter Jackson , Rappleye Michael , Smith Gillian , Healey Ryan , Ajmal Muhammad , Khan Muhammad , Patel Jay , Rawal Harsh , Sarwar Raiya , Soni Sumeet , Anwaruddin Syed , Davis Benjamin , Kumar James , White Karen , Bashir Rashid , Zhu Ruoqing
Published: November 2019

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Molecular Dynamics Simulations of Bacillus Subtilis EngA – for Exploring Nucleotide Dependent Conformations
Authors: Upendra N. , Krishnaveni S.
Published: November 2019

Essential Neisserial GTPase A (EngA) is a member of the TRAFAC class of GTPase superfamily. GTPases are molecular switches that switch between the GTP bound (On) state and the GDP bound (Off) state. This switching regulates many biological functions such as protein synthesis, ribosome biogenesis, cell multiplication etc. GTPases possess four highly conserved G-motifs (G1((GxxxxGK[ST])), G2(T), G3(DxxG), G4([NT][KQ]xD)) and one weakly conserved G5 (SAK) motif, which provides the facility to interact with guanine nucleotides. The P-loop of GTPases with a G1-motif interacts with the beta and gamma phosphates of GTP/GDP, the G2 and G3 motifs that interacts with gamma phosphate undergo large conformational changes termed Switch-I (Sw-I) and Switch-II (Sw-II). The G4 and G5 motifs stabilize the interaction with guanine bases.
Errors Made in Ab Initio+ Homology-based Protein Structure Prediction Tools Arise Due to Lack of Consideration of Impact Forces
Authors: Chander Aishwarya , Selvaraj Priyanka
Published: November 2019

There is a requirement for accurate tertiary structure prediction to understand a protein’s conformation. Forces like electrostatic and Van der Waals interaction, hydrogen bonds and hydrophobic interaction are often considered when it comes to tertiary structure modelling by computer algorithms. Even though the resulting structure is well modelled and shows some resemblance to native structures, it always permits slight inaccuracies at very low resolutions. Until now, no algorithm has efficiently predicted protein structures with 100% accuracy. With the advent of modern medical technologies such as precision medicine, we require highly resolved protein structures predicted to almost 100% accuracy. The specificity of structures accounts for the various protein functions, protein interaction networks, their mutations, and how the mutation cause diseases. Variations in the sequence will, in turn, affect protein functionality and their pathways. Thus, the structure of the encoded protein, as well as its mutations, can provide a full understanding of the pathogenesis, targeted therapies and additionally, potential strategies for drug development based on molecular structure. The success of structure-based targeted drug therapy relies heavily on the availability of accurate 3D structures. For this, detailed knowledge of protein structure at the atomic level of resolution is required.
In Silico Hit Identification, Drug Repurposing, Pharmacokinetic and Toxicity Prediction of c-Met Kinase Inhibitors for Cancer Therapy
Authors: Cutinho Pretisha Flora , Venkataramana C. H. S. , Suma B. V.
Published: November 2019

Cancer is globally one of the leading causes for death and through years it has been emerged to increase in the incidents of morbidity and mortality worldwide. Despite immense research and development in cancer therapy, lack of a feasible, safe and affordable treatment, opens wide scope in this area of study. Though chemotherapy is widely used for the treatment, adverse effects associated with it has brought about a step back in the therapy. Thus, targeted protein tyrosine kinase therapy has gained significance in recent times. Among the tyrosine kinase therapies, c-Met is a promising target. This target is found to be involved in tumurogenesis of different cancers and so has brought our interest towards it. c-Met belongs to the subfamily of receptor tyrosine kinases (RTKs) which are encoded by the Met proto-oncogene. This involvement of HGF/c-Met signalling pathway in oncogenesis has been reported in various types of cancers. Over expression of the target c-Met has brought about transcriptional regulation, gene amplification, autocrine or paracrine ligand stimulation leading to uncontrolled and enhanced tumor cell proliferation, survival, motility, scattering, migration, angiogenesis, invasion, epithelial-mesenchymal transition (EMT), metastatic dissemination.
An In Silico Target Specific Drug Repurposing Approach for Multiple Sclerosis
Authors: Lakshmi Prasanna Marise V. , Surekha  , Hema Sree G. N. S , Saraswathy G. R.
Published: November 2019

Multiple sclerosis (MS) is a multifocal demyelinating disease with progressive neurodegeneration caused by an increased auto immune response to self-antigens. Based on the ability of remyelination, MS is characterized into 4 subtypes: Relapsing Remitting MS (RRMS) (most commonly found ∼87%), Primary Progressive MS (PPMS), Secondary Progressive MS (SPMS), and Progressive Relapsing MS (PRMS). MS is termed as T cell-mediated autoimmune disorder with a predominant expression of CD8+ cells, (involved (MHC-I) activation), CD4+ T cells and microglia/macrophages. The pathophysiology of MS involves focal demyelination (myelin sheath destruction), oligodendrocyte destruction and astrocyte proliferation. Majority of people experience symptoms like muscle spasms, constipation, weakness, urinary problems and alterative sessions of relapses and remissions between the ages of 20 and 40. Currently, Disease Modifying Therapies (DMTs) were known to decrease the frequency and severity of relapses, exacerbations and development of new lesions. To date, U.S FDA approved drug for the treatment of PPMS is Ocrelizumab. Nevertheless, many drugs exhibited success in the preclinical phases and successfully reached clinical trials.
Design and Synthesis of Some Novel Erlotinib Derivatives as Potential EGFR Kinase Inhibitors
Authors: Ajeesh V. , Shubham S. , Ruchi M.
Published: November 2019

Despite many significant improvements in cancer therapies over the past 50 years, metastatic solid cancers remain largely incurable. The survival for patients with these malignancies is often measured in months. Substantial efforts are being made in the development of targeted therapies for a specific type of cancer. These efforts have been spurred by few successes, such as imatinib for Chronic Myelogenous Leukaemia (CML); Trastuzumab for breast cancer with amplification of ERBB2 (also known as HER2); and erlotinib and gefitinib for lung cancer that regulates mutant epithelial growth factor receptor (EGFR). In the era of targeted drug discovery tyrosine kinases (TKIs) are the most studied pathways. The targeted drug discovery is preferable over conventional method and is used to reduce the maximum resistance and side effects. Especially with the EGFR mutation cause dramatic changes in patients. The mutations in the EGFR signalling pathway is one of the main reasons for one-third of non-small cell lung cancer.
Optimization of Ezetimibe Nano Formulation by Two-level Full Factorial Design
Authors: Balanagamani D. , Bhaskar Reddy K. , Sesha Maheswaramma K.
Published: November 2019

Ezetimibe (Ez) is a lipid lowering compound which inhibits intestinal cholesterol and phytosterol absorption, hence it is used in primary hyperlipidemia treatment. It selectively inhibits the intestinal absorption of dietary and biliary cholesterol without affecting the absorption of fat-soluble nutrients. Ez is used as antihyperlipidemic agent in conventional dosage but there is a need to control release of dosage. The present research deals the formulation and optimization of nano Ezetimibe by design of experiment regarding interactions of each factor and to get optimized conditions for preparation of nano formulation by two level full factorial design of quadratic model with response surface method.
Nanocomposite Hybrid Polymeric Scaffold for Skin Tissue Engineering
Authors: Kamnoore Devanand , Mukherjee Dhrubojyoti , Bhagyashree K. , Shovik Kumar Debnath , Damodar Nayak , Parsuraman Pavadai
Published: November 2019

Biodegradable polymeric scaffolds have received much attention in tissue engineering as they provide a spatial and temporal environment for cell regeneration. The scaffold can be defined as “any material, natural or artificial that comprises of entire or portion of a living structure or biomedical device which performs, extends or substitutes a natural function”. Biomaterials based scaffolds are projected to interact with living systems and to treat, augment, assess and substitute any function, tissue, and organ of the body. Tissue engineering aims to facilitate the growth and replace the diseased or damaged tissue by using the combination of bioactive molecules, cells, and biomaterials. Many clinical studies were carried out to repair or replace tissue in the human body such as damaged or diseased tissue using autografts, xenografts or allografts (i.e. donor graft tissue). But a major drawback of these treatments is a shortage of donor site or donor rejection of grafts, morbidity, donor site pain, the transmission of disease, the possibility of harmful immune responses and the volume of donor tissue. In the last two decades, rapid progress has been seen in the emerging field of tissue regeneration and tissue engineering.
Enhancement of Atazanavir Solubility Using β-Cyclodextrin Based Nanosponges
Authors: Venkatesh D. N.
Published: November 2019

Oral route is considered as the major route for the delivery of drug, especially in the treatment of chronic diseases. A drug with a high lipophilicity more than 50%, however regarded as deterrent for oral delivery. Especially drugs under Biopharmaceutical Classification Systems (BCS) II and IV causes challenges to the formulators as their poor bioavailability caused due to poor aqueous solubility resulting in reduced drug absorption. To overcome such issues various strategies have been developed such as inclusion complexation. Recently nanosponges have gained considerable attention, owing to their biocompatibility, nanoporous in nature, capable of forming supra molecular inclusion complexes with both hydrophilic and lipophilic drugs. The toxicological aspects of nanosponges have been proven to be safe for use in pharmaceutical products. Also the drug loading can be enhanced by modifying the cyclodextrin to cross linker ratio to obtain the desired release profile of the drug. Nanosponges are nanostructured carriers prepared by reacting cyclodextrin with suitable cross linkers such as carbonyl diimidazole, hexamethylene and diphenyl carbonate.
Evaluation of Cardiomyocyte Targeted Novel Nano-formulation of Pirfenidone on Doxorubicin Induced Congestive Heart Failure in Rats
Authors: Azamthulla M. , Mukherjee Dhrubojyoti , Roy J. , Ravishankar C.
Published: November 2019

Cardiovascular diseases have become a major public health concern and represent one of the most important causes of mortality and morbidity with an escalating prevalence of 12.5% every year since the past decade. It is estimated that 31% of all-cause of mortality is due to cardiovascular diseases (according to 2015 World Health Organization data). Pirfenidone (PFD) was selected in the present study because the drug possesses multifaceted pharmacological activity, but delivering the drug to a specific target was a challenging approach. Biomedical application of nanotechnology could help deliver the drug to a specific target at a minimum concentration of drug with maximum efficacy and reduced toxicity. Nanotechnology, being the functional system that operates at molecular level, yields the opportunity to address and treat cardiovascular diseases. Over conventional drug delivery system, nanoparticles (NP’s) can offer significant advantages in terms of high drug-carrying capacity, high specificity, high stability, versatility to use in different routes of administrations, the ability for controlled release and capacity to deliver both hydrophobic and hydrophilic drugs. Hence, the objective of current investigation was to develop a suitable nanoformulation with pirfenidone (PFDNF) and to evaluate its cardioprotective and cardiotonic efficacy.
Fabrication of Donepezil Encumbered Mannose Assisted Polycyanoacrylate Nanocarriers
Authors: Handa Mayank , Ujjwal Rewati Raman , Shukla Rahul
Published: November 2019

Blood-brain barrier (BBB) is the preventive membranous sheath which act as barrier between blood and brain. Barrier observed at junction between brain and blood act as sealant along with tight junctions which inhibits any engulfing activity and restricting the molecular exchange of any cellular type transport. Passive transport is limited to drug with unionized, lipophilic and low molecular weight properties which enables the free diffusion or exchange of molecules from blood to brain. Carrier mediated transport system is best suited for brain transport across BBB. Amino acids, sugar based moieties, neuropeptides, proteins use carrier mediated transport system for permeation into brain. Disadvantage with BBB permeation is that most of therapeutic potential of moiety diminishes or the concentration delivered beyond BBB is below effective levels, thus compromising the activity and act as main cause in decreased activity to brain related disorders.
Human Amniotic Membrane Extract as an Antimicrobial Biomaterial Against Streptococcus Mutans and Lactobacillus Acidophilus in Management of Deep Dentinal Caries
Authors: Shetty A. K. , Rai A. J. , Shivani S. , Bharadwaj S.
Published: November 2019

Dental caries comprises of highly complex, variable and uncultivable microbial population with dental caries, even though prime organisms are commonly known to be allied with disease succession. Association of mutans group Streptococci and Lactobacilli with the initiation of caries and early caries development have been well documented. Studies have shown transition of early caries causing gram-positive primary facultative bacteria to anaerobic gram-positive rods and cocci and gram-negative rods as the lesion progresses to deep carious lesion. The permeation of microorganisms into the soft dentine maintains the acidity and consequently jeopardizes the pulp vitality. Excavation of soft dentin will further lead to pulp exposure, and therefore it is imperious to preserve the pulp vitality by a thorough and conservative approach with the use of efficacious unguents instead of resorting to endodontic therapy. Commonly used material in view of pulp preservation is Mineral Trioxide Aggregate (MTA), a calcium silicate based material that has been widely used in treatment of deep dentinal caries, including root-end filling, direct pulp capping, and regenerative endodontic procedures because of its resourceful properties like antibacterial activity, anti-inflammation, biocompatibility and osteo/odontogenicity. Previous studies have shown pronounced anti-bacterial efficiency of MTA against Lactobacillus acidophilus (LB).
A Novel LC-ESI-MS/MS Method for the Quantification of Flibanserin in Bulk and Pharmaceutical Formulations
Authors: Kowmudi G. , Anbu K. , Udhaya Prakash M. , Durai Rajan P. , Ramalingam P. , Krishnaveni N.
Published: November 2019

Flibanserin, a multifunctional serotonin agonist and antagonist (MSAA), which may treat hypoactive sexual desire disorder (HSDD) in women. Women with HSDD have a chronic lack of interest in sex that cannot be explained by another medical condition. Feelings of distress also accompany HSDD. Mechanism of action of flibanserin is different because it works on a women’s brain. Flibanserin works on three necessary brain chemicals: dopamine, norepinephrine, and serotonin. It acts as a dual control model of sexual response. Various neurotransmitters, sex steroids, and other hormone effects on the sexual response with significant excitatory and inhibitory effects. Among neurotransmitters, dopamine and norepinephrine stimulate activity, while serotonin inhibits activity and the balance between before discussed systems are of significance for a healthy sexual response. By modulating serotonin and dopamine activity in some regions of the brain, flibanserin can enhance the equilibrium of sexual response balance between these neurotransmitter systems. The significant side effects of flibanserin are dizziness, sleepiness, nausea, feeling tired and trouble sleeping. Simultaneous consumption of alcohol and flibanserin may result in severely low blood pressure.
Peptide polymer displaying potent activity against clinically isolated multidrug resistant Pseudomonas aeruginosa in vitro and in vivo
Authors: Jiang Weinan , Xiao Ximian , Wu Yueming , Zhang Weiwei , Cong Zihao , Liu Jingjing , Chen Sheng , Zhang Haodong , Xie Jiayang , Deng Shuai , Chen Minzhang , Wang Yun , Shao Xiaoyan , Dai Yidong , Sun Yun , Fei Jian , Liu Runhui
Published: November 2019

Host defense peptide mimicking peptide polymer displayed potent in vitro and in vivo antimicrobial activity against clinically isolated multidrug resistant Pseudomonas aeruginosa.
Economic, energy and carbon footprint assessment of integrated forward osmosis membrane bioreactor (FOMBR) process in urban wastewater treatment
Authors: Ab Hamid Nur Hafizah , Smart Simon , Wang David K. , Koh Kaniel Wei Jun , Ng Kalvin Jiak Chern , Ye Liu
Published: November 2019

This study systematically explores the potential applications of forward osmosis (FO) membrane based technology in urban wastewater treatment and water reclamation for their techno-economic feasibility and sustainability.
Delayed nucleation in lipid particles
Authors: Jacoby Guy , Portnaya Irina , Danino Dganit , Diamant Haim , Beck Roy
Published: November 2019

Lipid particle crystallization shows non-classical nucleation and growth kinetics and demonstrates a tunable cooperative phase-transition with long characteristic timescales.
Substance P-loaded electrospun small intestinal submucosa/poly(ε-caprolactone)-ran-poly(l-lactide) sheet to facilitate wound healing through MSC recruitment
Authors: Kim Min Ju , Ji Yun Bae , Seo Ji Young , Park Seung Hun , Kim Jae Ho , Min Byoung Hyun , Kim Moon Suk
Published: November 2019

In this work, we prepared an electrospun small intestinal submucosa/poly(ε-caprolactone)-ran-poly(l-lactide) sheet onto which substance P was loaded, and this was employed as a cell-free scaffold for wound healing through the mobilization of hMSCs.
Blue metal–organic framework encapsulated denatured R-phycoerythrin proteins for a white-light-emitting thin film
Authors: Wang Xiaobin , Li Zhuoyi , Ying Wen , Chen Danke , Li Peipei , Deng Zheng , Peng Xinsheng
Published: November 2019

Impregnating one denatured protein with dual color emissions in a blue metal organic framework thin film for high quality white light emission.
Sphere decoder with box optimisation for faster‐than‐Nyquist non‐orthogonal frequency division multiplexing
Authors: Guo Mengqi , Zhou Ji , Lu Yueming , Qiao Yaojun
Published: November 2019

In 1975, J. E. Mazo showed the potential faster‐than‐Nyquist (FTN) gain of the single‐carrier binary signal. If the inter‐symbol interference is eliminated by an optimal detector, FTN single‐carrier binary signal can transmit 24.7% more bits than the Nyquist signal without loss of bit error rate performance, which is known as the Mazo limit. In this study, the authors apply sphere decoder (SD) with box optimisation (BO) to reduce inter‐carrier interference (ICI) in the FTN non‐orthogonal frequency division multiplexing (FTN–NOFDM) system. Compared with the commonly used SD algorithm, SD with BO can achieve the same ICI cancellation performance, and the computational complexity is significantly reduced. When the bandwidth compression factor is set to 0.802, the transmission rate of FTN–NOFDM is 24.7% faster than the Nyquist rate, and quadrature phase shift keying (QPSK)‐modulated FTN–NOFDM has almost the same performance as QPSK‐modulated orthogonal frequency division multiplexing (OFDM), which agrees well with Mazo limit. In the simulation, the QPSK‐modulated FTN–NOFDM with outperforms 16‐quadrature amplitude modulation (16‐QAM)‐modulated OFDM by about 1.5 dB, and the 16‐QAM‐modulated FTN–NOFDM with and outperforms 64‐ and 256‐QAM‐modulated OFDM by about 1.5 and 2 dB, respectively.
Increasing the amount of collected data using network coding and continuous movement of mobile sinks in wireless sensor networks
Authors: Kharati Ehsan , Khalily‐Dermany Mohammad , Karmajani Hamidreza
Published: November 2019

This study uses the network coding (NC) and mobile sinks (MSs) for collecting coded data (CCD) of sensor nodes (SNs). MSs move on a steady, direct and predetermined path with constant velocity in wireless sensor networks. The authors present an optimisation model for CCD problem which is a generalisation of the previous works and an optimisation model based on the integrated linear programming model. Solving this problem in polynomial time is not possible. In this model for CCD, each SN and MS are assigned a time slice, and two conditions are presented for transmission range of SNs and at most number time slices for CCD. Then a centralised algorithm with polynomial time complexity is presented in proposed conditions for the problem solving. Finally, by simulating, different sets of SNs are deployed randomly with a fixed position, which was evaluated by influence of the number of SNs, travelled distance of MS at each time slice, the duration of time slice, velocity of MS on delay, the total amount of CCD and network efficiency. The simulation results represent scalability and performance superiority of the proposed algorithm compared to methods with no NC such as C‐Schedule and GAP‐based approximation algorithms.
Improvised multi‐objective model predictive control of matrix converter using fuzzy logic and space vectors for switching decisions
Authors: Mir Tabish Nazir , Singh Bhim , Bhat Abdul Hamid
Published: November 2019

Finite control set model predictive control (FCS‐MPC) has lately received noteworthy attention in the control of power converters. Such converters have a finite number of switching states, which ensure a small sample space of predictions and minimum computational burden. Although unanimously popular in most converters, multi‐objective FCS‐MPC (Mo‐FCS‐MPC) is a particularly attractive choice in the control of matrix converters (MCs), as it enables attainment of multiple objectives with relative ease. Conventionally, a weighing factor‐based approach is undertaken in the implementation of Mo‐FCS‐MPC wherein a cost‐function is framed such that each of its constituent objectives, is assigned a relative weight according to its significance. However, the tuning of weights is empirical in nature and hence tedious. This study proposes an improvised technique for implementing Mo‐FCS‐MPC in MCs while simultaneously meeting a number of objectives such as load current, source current, and input power factor control. Sector information from space vectors of reference output voltages and reference input currents, coupled with a fuzzy decision‐making criterion is used to make the final switching decision, hence eliminating the conventional weighing factor‐based approach. The inclusion of space vector modulation into predictive control enhances the quality of both loads as well as source current waveforms.
Advances in cellular evaluation and standard of antioxidant activity
Authors: Wu Qi , Song Ruirui , Zhao Lin , Yun Zhenyu
Published: November 2019

Reactive oxygen species (ROS) function significantly in cell signal transduction and homeostasis. High ROS concentration can cause oxidative damage to cells and lead to various diseases consequently. Significantly, antioxidants can scavenge free radicals and reduce the risk of cardiovascular diseases, heart diseases and cancer. In the present study, a review was carried out concerning current methods for evaluating antioxidant activity, focusing on cellular determining antioxidant activity, in combination with the investigation of evaluation models of antioxidant activity established by different cell lines, which may provide a reference for further evaluation of antioxidant activity by establishing cell models.
Ecological assessment of phytoplankton community via microscopic method and 18S rRNA gene sequencing in Pearl River Estuary
Authors: Peng Bo , Wang Yuannan , Zhang Hengjun , Chen Chen , Luo Hailin , Wang Min
Published: November 2019

Monitoring phytoplankton community underpins our understanding of water quality and ecological functions. In this study, we approached phytoplankton abundance, community composition, and diversity by both microscopy and 18S rRNA gene sequencing. Environmental variances influencing the phytoplankton were evaluated as well. There were 6 phyla and 62 species identified by microscopy, and the diversity index Shannon-Wiener and evenness index Pielou index indicated phytoplankton community had high diversity; however, the high density of dominance genus suggested that our research region had potential red tide effects. The canonical correspondence analysis illustrated that suspended solids, phosphate and temperature were three major factors that affected the distribution and components of phytoplankton community. The DNA barcoding sequencing of 18S rRNA gene supported the main results via microscopic methods while providing more identified community components, which implied that 18S rRNA gene sequencing can be used as a supplemental method for fast ecological assessment of phytoplankton community.
Research on Oil Well Production Prediction Based on Radial Basis Function Network
Authors: Zhang Chuanxin , Kang Yunwei , Chen Jin , Zhao Yunxiang , Ma Junxiu
Published: November 2019

Selection of well and reservoir is an important step in the process of stimulation and transformation of oil fields. Good measures can effectively save the cost in the process of oil field development and greatly increase the production of oil fields. Aiming at the problem of well and reservoir selection in petroleum engineering, a method of oil well production prediction based on radial basis function network is proposed in this paper. According to the field data of Xinjiang oilfield, the main controlling factors with greater influence are selected by correlation analysis after data pretreatment. Then we randomly divide the data into training data set and prediction data set, and use the training data set to create a radial basis function network. Finally, we use the radial basis function network to predict the prediction data set, and the final prediction accuracy reaches 80%.
A martingale-based temporal analysis of pre-earthquake anomalies at Jiuzhaigou, China, in the period of 2009-2018
Authors: Lin Ling , Kong Xiangzeng , Li Nan
Published: November 2019

Many studies on the relationship between outgoing longwave radiation (OLR) data observed by National Oceanic and Atmospheric Administration Satellites (NOAA) with strong earthquakes are based on a certain zone or a couple of earthquakes. But it’s hard to know if the algorithm works by looking at just one earthquake. In this paper, after algorithm analysis of OLR signals based on martingale theory during the 10 years from 2009 to 2018, a time series analysis of re-anomaly screening for the 10 years’ data is proposed. The experimental results show that this method can be more effective in the statistical analysis of historical data and further improve the reliability of prediction.
Long-term Performance Evaluation for Ionospheric Delay Correction of BeiDou Navigation Satellite System
Authors: Liu Chen , Jiang Yi , Chen Ye , Xu Ao , Li Junpeng , Wang Wei
Published: November 2019

Ionospheric delay is one of the main errors in the satellite navigation and positioning system. At present, ionospheric delay correction model and grid ionospheric information are provided to correct the error in BeiDou Navigation Satellite System (BDS). The ionospheric delay correction model is the Klobuchar model with 8 parameters at the geographic latitude for basic navigation. Grid ionospheric information is the ionospheric grid map covering China region for enhanced services. The dual-frequency pseudo-range combination data and ionospheric data from 2013 to 2018 have been used to make comprehensive assessments of the correction performance of BDS Klobuchar model and ionospheric grid information. The average correction rate of ionospheric grid information is about 85%, and the average correction rate of BDS Klobuchar model is about 73%. The correction accuracy of BDS Klobuchar model varies little, and the ionospheric grid information has a single-peak structure. The correction accuracy in summer and autumn is slightly higher than that in winter and spring. Changes in solar activity have a greater impact on BDS Klobuchar model correction bias. Ionospheric grid information owns relatively strong anti-disturbance ability, and BDS Klobuchar model also has a definite anti-disturbance capability compared with the GPS Klobuchar model.
Comparison of the effects of different maize straw returning methods on saline soil improvement
Authors: Chen Cai , Yuan Cheng Peng
Published: November 2019

Using corn straw as raw material, the effects of three different ways of returning corn straw to the field, namely direct returning corn straw to the field, decomposed corn straw returning to the field and maize straw biochar returning to the field, on saline-alkali soil were studied by indoor culture. The results showed that maize straw directly returned to the field was the best way to improve the stability of saline-alkali soil aggregates; maize straw biochar returned to the field was the best way to reduce the alkalinity of saline-alkali soil; maize straw directly returned to the field and decomposed maize straw returned to the field enhanced the activity of soil urease and alkaline phosphatase, while reducing the activity of soil catalase. Maize straw biochar returned to field reduced soil urease activity and increased soil catalase activity, but had no significant effect on soil alkaline phosphatase activity.
Stability Analysis of Chemical Quality of Tobacco Leaves in Honghe Prefecture of Yunnan Province
Authors: Xia Tiyuan , Tang Zuoxin , Chen Zebin , Ren Zhen , Lu Qinghua , Huang Kun , Fu Yali , Ni Fengping , Shao Xiaodong
Published: November 2019

To comprehensively analyze the stability of the chemical quality of tobacco leaf in Honghe State, and to provide a basis for finding ways to narrow the difference between tobacco leaf quality in Honghe State and maintaining the stability of the quality of tobacco leaves in the tobacco producing area. Statistics were used to analyze the annual stability of Honghe tobacco leaves and the stability of the tobacco planting range from 2014 to 2017. The chemical quality of Honghe tobacco leaves was not stable in different years, the total sugar and reduced sugar content showed the trend of decreasing year by year, in addition, the potassium and chlorine content of the tobacco leaves in this tobacco planting area had been at a low level for four consecutive years. In 2014 - 2017, the total sugar, reduced sugar and chlorine content of the tobacco leaves in Honghe State were all relatively small, while the variation coefficient values of nicotine and potassium content in tobacco leaves were large, while the chlorine content in tobacco leaves was extremely unstable between years. For four consecutive years, the chemical quality of tobacco leaves in seven tobacco - planting counties and cities in Honghe State was significant. The chemical quality of tobacco leaves in Honghe State was unstable between different counties and cities.
Empirical research on the relationship between Informatization and Regional Economic Development of Qinghai Province
Authors: Li Wei , Li Yi , Liu Ya fei , Ding Sheng xi
Published: November 2019

This paper according to the characteristics of Qinghai Province System, constructs the evaluation index of informatization and regional economic development level, and the relationship between informatization and regional economic development in Qinghai Province is analyzed and calculated emphatically based on gray correlation method. The results show that the influence of different indicators on the regional economic development of Qinghai Province is different. Finally, the author puts forward some suggestions on the coordinated development of informatization construction and regional economy in Qinghai Province.
The Passivation Effect on Cd of Mixing of Amaranthus chinense L. Straw and Phosphate Rock Powder in Cd Polluted Soil
Authors: Luo Xian , Zhao Zheng , Deng Fafu , Zhu Lin , Zhang Haiyan , Pu Honglin , Jia Yongxia
Published: November 2019

Soil culture experiments were carried out to study the effects of the mixture of Amaranthus chinense L. straw and phosphate rock on soil pH, available phosphorus (AP), available potassium (AK) and DTPA-Cd content in Cd polluted soil. The results showed that: (1) 2% phosphate rock powder combined with 1%, 2%, 3% of Amaranthus chinense L. straw can significantly increase soil pH, AP and AK content. Compared with CK, pH was increased by 0.42~0.56, 0.53~0.70 and 0.47~0.73 units, respectively, and AP was increased by 19.03%~32.62%, 14.91%~43.63% and 18.88%~58.01%, respectively, and AK was increased by 201.46%~234.66%, 210.5%~266.56% and 184.07%~224.98%, respectively. (2) The DTPA-Cd content in soil decreased significantly after adding three different ratios of compound materials, which were 1.75%~9.01%, 2.86%~10.02% and 0.98%~8.7% lower than CK, respectively. In summary, the mixture of 1% Amaranthus chinense L. straw and 2% phosphate rock powder had the best passivation effect on Cd.
Perspectives of thermal photon measurements in heavy ion collisions at NICA
Authors: Kryshen Evgeny , Ivanishchev Dmitry , Kotov Dmitry , Malaev Mikhail , Riabov Victor , Ryabov Yuriy
Published: November 2019

The main goal of the future NICA-MPD experiment is studying the dense baryonic matter produced in heavy-ion collisions in the energy range 4-11 GeV and searching for signs of the phase transition between hadronic matter and deconfined quark-gluon plasma. Measurements of soft thermal photon yields and collective flow can significantly extend the physics program of the MPD experiment, allowing one to probe the temperature and the level of thermalizaion of the medium created in heavy ion collisions at NICA energies. The optimal method to measure soft photons is to register photon conversions in the material of the tracking system. In this contribution, recent RHIC and LHC results on thermal photon spectra and flow will be presented. Motivation and feasibility of thermal photon measurements with the conversion method in the projected MPD setup will be discussed.
Combining direct and indirect constraints on anomalous Wtb couplings
Authors: Kozachuk Anastasiia
Published: November 2019

We look at anomalous interactions of the Wtb vertex. In case of the scenarios, when two of the four anomalous couplings can have non-SM values, we obtain constraints from three processes involving B-decays: Bd,s − B−d,s oscillations, the decay B → Xsγ and the decay B → Xsℓ+ℓ−. We only consider scenarios when two of the four anomalous couplings are allowed to have values different from thosein the Standard Model. We then compare our results with constraints from the t-channel single top quarkproduction cross section from [1], which were obtained for the same scenarios.
Diabetes Mellitus and Chronic Obstructive Pulmonary Disease: An Overview
Authors: Katsiki Niki , Steiropoulos Paschalis , Papanas Nikolaos , Mikhailidis Dimitri P.
Published: November 2019

Chronic obstructive pulmonary disease (COPD) is a common disease with an increasing prevalence, characterised by persistent respiratory symptoms and airflow limitation. Apart from cigarette smoking, certain occupational and environmental exposures, low socioeconomic status and genetic factors may contribute to the pathogenesis of COPD. Comorbidities, e. g. diabetes mellitus (DM), can negatively affect quality of life, COPD outcomes and cardiovascular risk. The present narrative review considers the potential links between COPD and DM, such as systemic inflammation, oxidative stress, hypoxaemia and hyperglycaemia. The effects of antidiabetic drugs on lung function and COPD outcomes, as well as the possibility of common therapeutic modalities are also briefly considered. Further research is needed in this field to elucidate these relationships as well as their potential clinical implications in daily practice.
Novel ELANE Gene Mutation in a Newborn with Severe Congenital Neutropenia: Case Report and Literature Review
Authors: Jia Yue , Yue Changjun , Bradford Kathryn , Qing Xin , Panosyan Eduard H. , Gotesman Moran
Published: November 2019

Severe neutropenia is defined as an absolute neutrophil count (ANC) of less than 0.5 × 109/L. Severe congenital neutropenia (SCN) is an inborn disorder with maturation arrest of granulocytes due to various genetic abnormalities, which may lead to immunodeficiency. Among several associated genetic mutations, the variants or heterozygous mutations of the ELANE gene coding neutrophil elastase comprise approximately 50% of the genetic causes of SCN. We present a newborn (male) with severe neutropenia due to a novel ELANE gene mutation. The newborn was born at 386/7 weeks gestation to a 25-year-old mother with hypertension and morbid obesity. Pregnancy and delivery were uncomplicated but the baby obtained a complete blood count (CBC) on day of life 2 for a work up of hyperbilirubinemia. He was noted to initially have an ANC of 0.2 × 109/L and 0 on subsequent blood counts. A bone marrow biopsy showed a left shift and consistent with myeloid maturation arrest. In direct DNA sequencing analysis, we found an ELANE gene mutation (Val119Glu, V119E), which may be a new gene mutation to cause SCN. The diagnosis of SCN in newborns is usually based on neutropenia identified on a routine CBC. Sufficient awareness and high suspicion of this rare disease can prevent missed or delayed diagnosis of SCN. Our analysis also suggests a new pathological mutation in the ELANE gene and supports the important role of molecular testing in SCN.
Novel self-biasing circuit for dielectric elastomer generator and its parameter optimization
Authors: Cao Jian-Bo , Lan Meng , E Shi-Ju , Gao Zhao , Luo Han-Pin , Li Xiao-Mei , Pan Xin
Published: November 2019

In order to solve the problem that a dielectric elastomer generator (DEG) requires an external high voltage bias supply to improve the autonomy and security of the power generation system so that it could adapt to a changeable environment, and to improve the efficiency of power generation, based on the simulation research and analysis of three traditional self-biasing circuits, a new self-biasing circuit integrated with a self-supplementary circuit has been proposed in this paper. Under the same input conditions, the maximum output potential of the new self-biasing circuit is 2.23 times that of the traditional circuit. The pumping capability of the self-biasing circuit is greatly improved. At the same time, based on this circuit, in order to explore the factors affecting the energy conversion of the DEG, the overall electromechanical parameters of the circuit are compared and optimized by simulation experiments in this paper. The simulation and experimental results show that the capacitance-to-strain ratio of DEG and the mechanical frequency should be as large as possible within the safe range to obtain larger output potential, and the capacitance of charge pump should be 0.75 times of the capacitance of DEG in the initial state to improve efficiency.
Electronically conductive metal–organic framework-based materials
Authors: Kung Chung-Wei , Han Po-Chun , Chuang Cheng-Hsun , Wu Kevin C.-W.
Published: November 2019

Metal–organic frameworks (MOFs) have attracted great attention due to their attractive characteristics such as ultrahigh specific surface area, interconnected and regular porosity, and intraframework chemical functionality. However, utilizing MOFs as promising candidates for electrochemical, electronic, and resistive gas sensing applications is quite challenging owing to the electronically insulating nature of most MOFs; designing MOFs and relevant materials that possess electrical conductivity thus becomes a crucial research topic. In this perspective, routes to create conductive MOF-based materials, including conductive MOFs, MOF-based composites, and MOF-derived materials, are introduced. Recent progress in the synthesis and applications of these electronically conductive MOF-based materials is highlighted, and the limitations and commonly seen issues for designing such materials and the potential strategies to overcome these challenges are also included.
Simulation of the absolute permeability based on the capillary pressure curves using the dumbbell model
Authors: Akhmetov R T , Mukhametshin V V , Kuleshova L S
Published: November 2019

The paper deals with simulation of absolute permeability of granular collectors based on the capillary pressure curves using the dumbbell model. It has been established that for assessing permeability based on the capillary data, effective porosity should be used, since residual water does not participate in the displacement of fluid from the rock sample. It was proved that when using the dumbbell model instead of a simple capillary model, accuracy of absolute permeability prediction based on the capillary pressure curves increases significantly.
Algorithm of informative indicators system formation for development of business management tools
Authors: Shalanov N V , Kapelyuk Z A , Aletdinova A A
Published: November 2019

The aim of the work is to improve the management decision – making tools based on informative indicators for organizations. To form a system of informative indicators the authors propose using the following methods. These are the assessment of the uniformity degree of empirical data for each indicator, the analysis and elimination of multicollinearity of indicators based on the matrix of paired correlation coefficients, the integrated assessment of the potential of the object of study using a set of indicators. A distinctive feature of this approach was the construction of a potential function that allows you to design a multidimensional object on a geometric plane. In that case, while forming a system of indicators, some indicators will be excluded taking into account their multicollinearity and weights in the potential function. The advantage of the proposed algorithm is using less expert assessments in scientific research.
Threat modelling for creating technical information protection system at automated machine building plants
Authors: Saigushev N Y , Vedeneeva O A , Melekhova Yu B , Ryazanova L S , Konovalov M V
Published: November 2019

The article addresses the issue of threat and adversary modelling for creating a technical information protection system. Due to the very fast development of information technologies now, the information security must also be taken into consideration. Information leakages can occur via different channels such as acoustic and vibro-acoustic channels, electromagnetic interferences and so on. Protection must be secured against all that. Protection is particularly required when quite important documents or methods that can constitute state secrecy are concerned.
Numerical investigation of surface and leaky acoustic wave properties in SrLaGa3O7 crystal
Authors: Taziev R M
Published: November 2019

For surface acoustic wave (SAW) devices operating at elevated ambient temperatures, piezoelectric crystals that have stable material properties at high temperatures are desirable. The progress in the field of electronic technologies has increased the demand for high-temperature piezoelectric materials for the use in temperature and pressure sensors. Recently, SAW sensors have been operated at room temperature or 100°C ÷ 300°C at most. A new piezoelectric SrLaGa3O7 crystal belongs to tetragonal symmetry class, and has stability of its piezoelectric properties up to the melting temperature of 1650°C. Numerical simulation of the properties of surface and leaky acoustic waves in the SrLaGa3O7 single crystal is performed. The SAW has a maximum value of the electromechanical coupling coefficient (~ 0.25%) on Z+64°-cut and propagation direction along the X-axis. In the same propagation direction, the electromechanical coupling coefficient of the leaky wave is 3.5 times lower than that of SAW. The SAW has large electromechanical coupling coefficient value (~0.24%) on Z, X+45°-cut of the crystal. It is shown that these two cuts of the SrLaGa3O7 single crystal are promising for use in the SAW devices.
Analysis of maximum braking power for determination of energy storage device characteristics within fuel cell electric bus
Authors: Kulikov K I , Schurov N I , Yaroslavtsev M V , Spiridonov E A , Langeman E G
Published: November 2019

The article describes development of hydrogen energetics over the 2014 to 2018 period. There are statistic data about significant influence of hydrogen vehicles on that energy sector. The development of this means of transport is funded by the governments in different countries and that means big prospects for that technology. Modern researches especially are targeted at optimal approach searching to drive the electrochemical generator (fuel cell) as an initial energy source in the united energy plant. The offered approach is based on the movement characteristics data which were obtained from operated on the real city route trolleybus. The preference is given to use the experimental data for further synthesis of the city fuel cell bus model.