bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sudden Cardiac Arrest and Malignant Ventricular Tachycardia in an 8-Year-Old Pediatric Patient Who Has Hemolytic Uremic Syndrome Associated with Shiga Toxin-Producing Escherichia coli
Authors: Yesilbas Osman , Yozgat Can Yilmaz , Akinci Nurver , Talebazadeh Faraz , Jafarov Uzeyir , Guney Abdurrahman Zarif , Temur Hafize Otcu , Yozgat Yilmaz 
Published: April 2020

AbstractGastrointestinal, neurological, pancreatic, hepatic, and cardiac dysfunction are extrarenal manifestations of hemolytic uremic syndrome associated with Shiga toxin-producing Escherichia coli (STEC-HUS). The most frequent cause of death for STEC-HUS is related to the central nervous system and cardiovascular system. Cardiac-origin deaths are predominantly related to thrombotic microangiopathy-induced ischemia and the immediate development of circulatory collapse. STEC-HUS cardiac related deaths in children are rare with only sporadic cases reported. In our literature search, we did not come across any pediatric case report about STEC-HUS causing sudden cardiac arrest and malignant ventricular tachycardia (VT). Herein, we report the case of an 8-year-old female child with a typical clinical manifestation of STEC-HUS. On the seventh day of pediatric intensive care unit admission, the patient had a sudden cardiac arrest, requiring resuscitation for 10 minutes. The patient had return of spontaneous circulation with severe monomorphic pulsed malignant VT. Intravenous treatment with lidocaine, amiodarone and magnesium sulfate were promptly initiated, and we administered multiple synchronized cardioversions, but VT persisted. Furthermore, we were not able to ameliorate her refractory circulation insufficiency by advanced cardiopulmonary resuscitation. Thus, inevitably, the patient lost her life. This case illustrates the need for aggressive management and the dilemma that pediatric critical care specialists, cardiologists, and nephrologists have to face when dealing with STEC-HUS that is worsened by a sudden cardiac arrest accompanied with VT.
Hog1 activation delays mitotic exit via phosphorylation of Net1
Authors: Tognetti Silvia , Jiménez Javier , Viganò Matteo , Duch Alba , Queralt Ethel , de Nadal Eulàlia , Posas Francesc 
Published: April 2020

Significance
Proper chromosome segregation is critical for the maintenance of genomic information in every cell division, which is required for cell survival. Cells have orchestrated a myriad of control mechanisms to guarantee proper chromosome segregation. Upon stress, cells induce a number of adaptive responses to maximize survival that range from regulation of gene expression to control of cell-cycle progression. We have found here that in response to osmostress, cells also regulate mitosis to ensure proper telomeric and rDNA segregation during adaptation. Osmostress induces a Hog1-dependent delay of cell-cycle progression in early mitosis by phosphorylating Net1, thereby impairing timely nucleolar release and activation of Cdc14, core elements of mitosis regulation. Thus, Hog1 activation prevents segregation defects to maximize survival.
The 1975 type Japanese diet improves the gut microbial flora and inhibits visceral fat accumulation in mice
Authors: Asano Masaki , Nakano Fumika , Nakatsukasa Eriko , Tsuduki Tsuyoshi 
Published: April 2020

AbstractIn this study, the 1975 type Japanese diet was prepared and its effects and related mechanism were examined in mice. Mice were assigned to three experimental groups, the CD group fed a control diet, the MD group fed a modern Japanese diet (MD), and the JD group fed the 1975 type Japanese diet (JD) for 4 weeks. MD and JD were low protein, high fat, and high carbohydrate diets compared to the CD. Total white adipose tissue weights were significantly increased in the MD group compared to those in the CD group and were decreased in the JD group compared to those in the MD group. In the JD group, adipocyte hypertrophy was inhibited and Hsl mRNA expression was enhanced in epididymal adipose tissue and the number of bacteria associated with the production of short chain fatty acids was increased. Therefore, the JD inhibits lipid accumulation in white adipose tissue.AbbreviationsActb: β-actin; ALT: alanine aminotransferase; ANOVA: analyses of variance; AST: aspartate aminotransferase; Fas: fatty acid synthase; G6pdx: glucose 6-phosphate dehydrogenase; HE: hematoxylin and eosin; HOMA-IR: Homeostatic model assessment for insulin resistance; Hsl: hormone-sensitive lipase; JD: 1975 type Japanese diet; Leptin: leptin; MD: modern Japanese diet; Me: malic enzyme; NEFA: non-esterified fatty acids; PL: phospholipids; Pparδ: peroxisome proliferator-activated receptor delta; Pparγ: peroxisome proliferator-activated receptor gamma; qRT-PCR: quantitative reverse transcriptase polymerase chain reaction; SAMP8: senescence-accelerated prone 8; SEM: standard error of the mean; Srebp1c: Sterol regulatory element binding protein 1c; TBARS: thiobarbituric acid reactive substance; TC: total cholesterol; TG: Triacylglycerol; V3: variable regions 3
Inference on disk-jet connection of MAXI J1836–194 from spectral analysis with the TCAF solution
Authors: Jana Arghajit , Debnath Dipak , Chakrabarti Sandip K. , Chatterjee Debjit 
Published: April 2020

Abstract
Galactic transient black hole candidate (BHC) MAXI J1836–194 was discovered on 2011 Aug 30, by MAXI/GSC and Swift/BAT. The source activity during this outburst continued for ∼ 3 months before entering into the quiescent state. It again became active in March 2012 and continued for another ∼ 2 months. In this paper, 3 – 25 keV RXTE/PCA spectra from the 2011 outburst and 0.5 – 10.0 keV Swift/XRT data during its 2012 outburst are analyzed with the two-component advective flow (TCAF) model based fits files in XSPEC. We calculate the X-ray contributions coming from jets/outflow using a newly developed method based on the deviation of the TCAF model normalization. We also study the correlation between observed radio and estimated jet X-ray fluxes. The correlation indices (b) are found to be 1.79 and 0.61, when the 7.45GHz Very Large Array (VLA) radio flux is correlated with the total X-ray and jet X-ray fluxes in 3 – 25 keV range respectively. It has been found that the jet contributes in X-rays up to a maximum of 86% during its 2011 outburst. This makes the BHC MAXI J1836–194 strongly jet dominated during the initial rising phase.
Effect of magnetic flux advection on the dynamics of shock in accretion flow around a rotating black hole
Authors: Sarkar Biplob , Rao Anjali 
Published: April 2020

Abstract
We investigate the dynamical behavior of a magnetized, dissipative accretion flow around a rapidly rotating black hole. We solve the magnetohydrodynamic equations and calculate the transonic accretion solutions which may contain discontinuous shock transitions. We investigate the effect of ζ–parameter (parametrizing the radial variation of the toroidal magnetic flux advection rate) on the dynamical behavior of shocks. For a rapidly rotating black hole and for fixed injection parameters at the outer edge, we show that stationary shocks are sustained in the global magnetized accretion solutions for a wide range of ζ and accretion rate (ṁ). To investigate the observational implications, we consider dissipative shocks and estimate the maximum accessible energy from the post-shock corona (PSC) for nine stellar mass black hole candidates. We compare this with the observed radio jet kinetic power reported in the literature, whenever available. We find close agreement between the estimated values from our model and those reported in the literature.
Defocus spot detection of astronomical optical system
Authors: Hu Tian-Zhu , Zhang Yong , Cui Xiang-Qun , Li Ye-Ping , Bai Hua , Pan Xiu-Shan 
Published: April 2020

Abstract
Defocusing spot size detection is especially essential for aberration analysis and correction of optical systems. In the case of far defocusing, the celestial forms a pupil image on the detector, and the size of the image is linearly changed with the defocusing distance, and can be used to correct the optical system and analyze the image quality. Based on the focal plane attitude detection of Large Sky Area Multi- Object Fiber Spectroscopy Telescope (LAMOST), this paper uses a variety of methods to detect the size of the defocusing spot of LAMOST telescope. For the particularity of the spot, the average value spacing algorithm, the peak value spacing algorithm, the ellipse fitting algorithm, and the multi-peak Gaussian fitting algorithm are used to detect the spot size. This paper will introduce these four methods, in which the average value spacing algorithm is proposed by the author of this paper. The advantages and disadvantages of the four methods are compared. The experimental results show that the average value spacing algorithm can achieve better accuracy of spot size detection in the four algorithms.
Contributions of scale: what we stand to gain from Indigenous and local inclusion in climate and health monitoring and surveillance systems
Authors: van Bavel Bianca , Ford Lea Berrang , Harper Sherilee L , Ford James , Elsey Helen , Lwasa Shuaib , King Rebecca 
Published: April 2020

Abstract
Understanding how climate change will affect global health is a defining challenge of this century. This is predicated, however, on our ability to combine climate and health data to investigate the ways in which variations in climate, weather, and health outcomes interact. There is growing evidence to support the value of place- and community-based monitoring and surveillance efforts, which can contribute to improving both the quality and equity of data collection needed to investigate and understand the impacts of climate change on health. The inclusion of multiple and diverse knowledge systems in climate-health surveillance presents many benefits, as well as challenges. We conducted a systematic review, synthesis, and confidence assessment of the published literature on integrated monitoring and surveillance systems for climate change and public health. We examined the inclusion of diverse knowledge systems in climate-health literature, focusing on: (1) analytical framing of integrated monitoring and surveillance system processes; (2) key contributions of Indigenous knowledge and local knowledge systems to integrated monitoring and surveillance systems processes; and (3) patterns of inclusion within these processes. In total, 24 studies met the inclusion criteria and were included for data extraction, appraisal, and analysis. Our findings indicate that the inclusion of diverse knowledge systems contributes to integrated climate-health monitoring and surveillance systems across multiple processes of detection, attribution, and action. These contributions include: the definition of meaningful problems; the collection of more responsive data; the reduction of selection and source biases; the processing and interpretation of more comprehensive datasets; the reduction of scale dependent biases; the development of multi-scale policy; long-term future planning; immediate decision making and prioritization of key issues; as well as creating effective knowledge-information-action pathways. The value of our findings and this review is to demonstrate how neither scientific, Indigenous, nor local knowledge systems alone will be able to contribute the breadth and depth of information necessary to detect, attribute, and inform action along pathways of climate-health impact. Rather, it is the divergence or discordance between the methodologies and evidences of different knowledge systems that can contribute uniquely to this understanding. We critically discuss the possibility of what we, mainly local communities and experts, stand to lose if these processes of inclusion are not equitable. We explore how to shift the existing patterns of inclusion into balance by ensuring the equity of contributions and justice of inclusion in these integrated monitoring and surveillance system processes.
Toward a more effective hurricane hazard communication
Authors: Song Jae Yeol , Alipour Atieh , Moftakhari Hamed R , Moradkhani Hamid 
Published: April 2020

Abstract
Tropical cyclones are among the most devastating natural disasters that pose risk to people and assets all around the globe. The Saffir-Simpson scale is commonly used to inform threatened communities about the severity of hazard, but lacks consideration of other potential drivers of a hazardous situation (e.g. terrestrial and coastal flooding). Here, we propose an alternative approach that accounts for multiple components and their likelihood of coincidence for appropriate characterization of hurricane hazard. We assess the marginal and joint probability of wind-speed and rainfall from landfalling Atlantic tropical cyclones in the United States between 1979 ∼ 2017 to characterize the hazard associated with these events. We then integrate the vulnerability of affected communities to have a better depiction of risk that is comparable to the actual cost of these hurricanes. Our results show that the multihazard indexing approach significantly better characterizes the hurricane hazard, and is more appropriate for risk-informed decision-making.
Effects of organosolv pretreatment using ethylene glycol on degraded empty fruit bunch for delignification and fractionation
Authors: Chin DWK , Lim S , Pang YL , Lim CH , Shuit SH 
Published: April 2020

Abstract
Malaysia and Indonesia are the largest palm oil producers worldwide. In palm oil production, approximately one tonne of empty fruit bunch (EFB) will be generated as waste for every one tonne of palm oil produced. Currently, these fresh EFB are still underutilised and generally disposed under open environment. The fresh EFB are more susceptible to microbial attack under natural environment when exposed even for short period and become degraded empty fruit bunch (DEFB) which have lower quality. Consequently, disposal of DEFB becomes an enormous challenge as well as its following environmental problems including soil pollution and emission of greenhouse gases such as methane. However, DEFB remain as a promising lignocellulosic biomass feedstock with huge potential for production of high value added products entailing biofuels, bio-polymer and membrane with appropriate pretreatment. Therefore, DEFB was subjected to organosolv pretreatment in this research to recover its cellulose content. DEFB was discovered to possess higher cellulose content, lignin content and lower hemicellulose content as compared to fresh EFB. Organosolv pretreatment successfully fractionated DEFB to recover the cellulose portion by removing the lignin and hemicellulose content. Pretreatment with 50 v/v% ethylene glycol in the presence of 3 v/v% NaOH removed 75.1 wt.% lignin and 81.5 wt.% hemicellulose with 90.4 wt.% cellulose recovery. Furthermore, the cellulose purity of treated DEFB was improved drastically from 55.9% to 84.5%. For pretreatment liquor, the recoverable lignin was amounted to 74.6 % at pH 2.0. This study proved that organosolv pretreated DEFB exhibited the desirable properties for subsequent processes such as hydrolysis to synthesise the biomass waste into other high value added bio-products.
The potential of integrating blockchain technology into smart sustainable city development
Authors: Wong P F , Chia F C , Kiu M S , Lou E C W 
Published: April 2020

Abstract
The rise of global urbanisation has led to massive pressures on resources such as food, water, infrastructure, and energy demand to support growing populations. It brings adverse impacts on the liveable condition and economic growth of a country if this problem remains unsolved. Smart city is a potential solution to address the challenges of urbanisation by leveraging the technological breakthrough such as internet of things (IoT), Artificial Intelligence (AI), machine learning, big data, and cloud computing to facilitate scarce resources planning and management. With numerous connected devices and vast communication networks, it poses a challenges of security threat which cannot be addressed by the conventional cybersecurity solutions. Blockchain offers a solution in securing the huge numbers of connected devices in smart city network. The application of blockchain technology is leading in the banking and financial industry. However, the uses and implementations in smart city have emerged in recent years. The combination of blockchain technology and smart city has offered a great potential for sustainable development. Thus, it is imperative to discuss the potential of these two elements in making the city safer and sustainable. This paper explores how the blockchain technology application can help in managing smart city and achieve sustainability. The findings revealed that there are five key areas of blockchain application in smart city which are smart governance, smart mobility, smart asset, smart utility and smart logistic. A framework for smart sustainable city with blockchain technology is presented as an outcome of this study. It gives a clear overview for the policy makers and regulators of how blockchain supports within smart city framework. It facilitates the transition towards smart and sustainable cities through the use of blockchain.
Effect of biomass ratio on co-firing of biomass with coal on pozzolanic properties
Authors: Taweetamnusin Darin , Narasingha Monpilai , Panasupamassadu Karn , Kittipoomwong Prakorn 
Published: April 2020

Abstract
Recently, fly ash from the coal combustion process in power generation has been used in the cement industry as an additive to cement or as partial replacing binder in cement-based structural mortars. The use of fly ash can reduce costs in cement production, including a reduction in the environmental impact. Co-firing biomass with coal is one of the existing technologies for utilizing biomass energy in the power generation system. However, this technology also influences the quantity and quality of the ash produced. The present work, therefore, aims to investigate the pozzolanic properties of ashes obtained from the co-firing ofcoal with corncob. Pozzolanic and physical properties of such ashes were investigated by varying the percentages of corncob at 20, 30 and 40 during combustion. The Pozzolanic compounds (SiO2+ Al2O3+ Fe2O3) according to ASTM C618 were determined by using X-ray fluorescence spectroscopy (XRF). Scanning electron microscopy (SEM) was used to investigate the structure of ash samples. The results show that content of pozzolanic compounds in ashes produced from cofiring corncob with coal decreased when increasing ratio of corncob and became stable when ratio of corncob was higher than 30%. It is observed that the morphology of such ashes illustrated in the form of small spherically shaped particles which can improve rheological behavior, viscosity and flow performance. Considering the requirements for pozzolanic-cementitious material, it is found that the ashes produced in this study has lower content of pozzoolanic compounds than the standard specification for pozzolan class C.
Design and reliability analysis on internet-based real-time fuel consumption reporting system
Authors: Boonjun Jirawat , Kammuang-Lue Niti 
Published: April 2020

Abstract
The objectives of this study are (i) to design and fabricate the internet-based real-time fuel consumption reporting system and (ii) to evaluate reliability of the reporting system. Real-time fuel consumption rate of the testing vehicle which was measured from fuel injector control signal by the real-time fuel consumption meter proposed in the previously research was used to be the data for reporting by the internet-based real-time fuel consumption reporting system fabricated in this study. A universal asynchronous receiver transmitter (UART) protocol which is a computer hardware device for synchronous serial communication was used to communicate and transmit data between devices and operation of the system was controlled by the Arduino Mega 2560 microcontroller. Then, the Quectel BC95-B8 module was used to transmit data for recording on virtual database through narrow band internet of thing (NB-IoT) technology which operates in the 900-MHz frequency band. The results could be concluded that (i) the average fuel consumption rate shown on the ThingsBoard application was less than the calculated fuel consumption for about 11.6% due to number and duration of disconnection of the NB-IoT module. (ii) When data is remotely observed via internet connection, it was found that the data displayed in the database has a lag time for less than 9 seconds due to latency of data transmission system. From these points, the system proposed in this study was acceptably to be installed onto truck fleet in private or small-scale carriers for real-time monitoring and internal data collecting applications. However, reliability in data communication and additional feature to reduce data losing were strongly recommended to be applied on the system before it could be extended to be used in larger scale carriers.
Simultaneous heavy metal reduction and voltage generation with synergy membrane-less microbial fuel cell
Authors: Chan Kam-Khong , Thung Wei-Eng , Ong Soon-An , Ho Li-Ngee , Wong Yee-Shian , Ru Yin Eunice Chong 
Published: April 2020

Abstract
Metal contaminated wastewater effluent from industries has caused several environmental problems and public health due to its toxicity. Conventional heavy metal reduction processes are neither economical nor environmentally friendly. A synergy economical single chamber up-flow membrane-less microbial fuel cell (UFML-MFC) was fabricated to study the feasibility of heavy metal reduction and voltage generation. Cu (II) was used as electron acceptor to explore the mechanism of metal treatment in UFML-MFC. The performances of the UFML-MFC were investigated with 0 mg/L, 5 mg/L and 10 mg/L concentration of Cu (II) in terms of voltage output, chemical oxygen demand (COD) reduction and Cu (II) reduction efficiency and electrode spacing distance. UFML-MFC used carbon felt as anode and cathode material where anode region was filled with 0.2 cm of gravels at anode region. Overall performance deteriorated with increased initial concentration of Cu (II). Voltage generation decreased from 71 mV to 11.1 mV. COD reduction decreased from 56% to 36%. Moreover, the Cu (II) reduction efficiency was reduced from 87.56% to 36.98%. These results showed that the increased concentration of the Cu (II) could potentially reduce the microbial activities. However, UFML-MFC showed that the shorter distance of electrode spacing (anode and cathode) could enhanced the voltage output. These results showed the great ability of integrating UFML-MFC for heavy metal reduction.