Miracle-dz/UniFAR-FTUs huggingface dataset:
Ruxolitinib Might Be an Effective Hormone Reduction and Replacement Drug in Children With Secondary Hemophagocytic Lymphohistiocytosis 

Background: To analyze the effects of ruxolitinib on children with secondary hemophagocytic lymphohistiocytosis (HLH). Methods: Eleven pediatric patients diagnosed with HLH and treated with ruxolitinib (ruxolitinib group: group R) between November 2017 and August 2018 were retrospectively analyzed. Eleven age-matched pediatric patients with HLH undergoing conventional treatment (control group: group C) were also analyzed.Results: In group R, three patients who did not respond to conventional treatment (dexamethasone and etoposide) were treated with Ruxolitinib and their temperature decreased to normal levels. Four patients had normal temperature after conventional treatment, but they had severe organ involvement, including obvious yellowing of the skin, increased liver enzyme levels and neuropsychiatric symptoms, and they were all ameliorated with ruxolitinib treatment. Four patients were relieved with ruxolitinib therapy alone. In group C, the body temperature of eleven patients all decreased to normal levels after conventional treatment. The body temperature of group R patients decreased to normal levels more rapidly than that of group C patients. The hormone dosage in group R was significantly lower than that in group C. Both groups were followed up for 2–2.5 years. No obvious adverse drug reactions of ruxolitinib were observed during treatment and follow-up.Conclusion: Ruxolitinib might be an effective drug in controlling body temperature and reducing inflammation indicators. It might be a potential replacement for hormone therapy for HLH treatment in children, thereby reducing or avoiding hormone-related adverse reactions.
Improving the Reliability of Churn Predictions in Telecommunication Sector by Considering Customer Region

— Prediction of customer churn has been one of the most interesting and challenging tasks facing most telecommunication companies recently. For the past decade, researchers together with practitioners have been working and designing models that can correctly make more accurate customer churn predictions (CCP). However, most of these models have less accuracy than expected which is hugely affecting the intended purpose. Consequently, most of these CCP models add little or nothing to the revenue growth of telecommunication industries. This work aims at improving the reliability of CCP in the telecommunication sector. To achieve this objective, a new attribute to be factored in CCP, known as the regional churn rate (RCR), is presented. Basically, RCR gives an idea about the rate of churning in a particular locality or region. Thus, a prediction model with a more accurate CCP using a support vector machine (SVM) classifier is proposed. The performance of the proposed model is critically evaluated using five metrics i.e. misclassification error, precision, recall, specificity and f-measure. At the same time, the performance of the proposed classifier (CCP with RCR) is compared with another SVM classifier which doesn’t consider RCR (CCP without RCR
Current Contents

Current Contens(中文译名《现刊题录》简称CC)由美国著名的科学情报研究所(ISI)编辑出版。 1957年出版了第一个分册“生命科学(Life Sci-ence),随着科学技术的迅速发展,又陆续出版了六个分册。 它们是“农业,生物学和环境科学(Agri-cultus,Biology and Environmental Science);艺术和人文科学(Arts and Humanities);临床实践(Clinical Practice);工程学,技术和应用科学(Engineering,Technology and Applied Sci-ence);物理,化学和地球科学(Physical,Chem-istry and EarthScience);社会和行为科学(Soc-ial and Behavioral Science)。
A neotype nomogram based on accessible clinical indicators to predict the overall survival of esophageal cancer patients underwent radical resection

Background: Esophageal cancer (EC) is a malignant tumor with dreadful mortality, nomogram is a prognosis tool of great significance in therapeutic guidance and assessment. We aimed to establish a newly-built nomogram for OS prediction of EC patients with radical esophagectomy.Methods: A total of 311 EC patients underwent radical esophagectomy were retrospectively investigated with their survival and demographic and clinicopathological data. Patients were randomly divided into the primary and validation cohorts. The establishment of nomogram was based on Cox hazard regression analysis in primary cohort, the calibration curves and Harrell’s concordance index were performed to verify the predictive accuracy while ROC curves was adopted to reflect the efficacy of nomogram. Kaplan–Meier curves showed the clinical significance of risk classification system and Pearson correlation test was utilized to show the correlation between risk classification system and TNM staging.Results: The median OS and 5-year survival rate are 44 months and 29.8% in primary cohort. In validation cohort, they are 52 months and 27.1%, respectively. In Cox hazard regression analysis, we extracted six independent prognostic factors—age, gender, AGR, PRL, N stage, PNI—to establish the nomogram. The C-index of nomogram is 0.75 in primary cohort and 0.70 in validation cohort. Calibration curves indicated high consistency between accurate and predicted OS in both primary and validation cohorts. ROC curves showed a better efficacy of nomogram compared with AJCC T and N stage. The area under curve (AUC) of primary cohort is 0.801 and 0.727 in validation cohort. Patients in primary cohort were divided into three risk groups according to the nomogram score, the median OS between each group was significantly different. Analogical results were obtained in validation cohort. Furthermore, the risk classification system was strongly correlated to AJCC TNM staging system in total cohort (r2=0.647, P<0.001), and it also demonstrated a better OS prediction efficacy (AUC=0.742). Conclusions: We established a neotype nomogram and a relevant risk classification system with verified accuracy and efficacy in OS prediction of EC patients after radical esophagectomy. They may provide feasible value in prognosis assessment and treatment guidance prospectively.
Visualization Tool for Atomic Models (VITAL): A Simple Visualization Tool for Materials Predictions

This preprint describes the first version of VITAL, a tool used to visual materials predictions. Instructions for use are outlined and a few basic examples are shown. The code for this tool is included as a zip file and archived version is linked in the text. A GitHub repository is also linked for the most up-to-date version of VITAL.
Wireless Local Area Network Security : An Investigation Into Security Tool Usage In Wireless Networks

Many organisations and individuals installing wireless local area networks (WLANs ), which are based on the IEEE 802.11 b standard, have little understanding ofthe security issues that surround this technology. This study was initiated to determine how WLAN security issues affect organisations in Perth, Western Australia. The scope of the study was restricted to 802.llb WLANs operating in infrastructure mode, where all traffic is transmitted by wireless access points (APs). This study was conducted in two phases. The general aims of the first phase were to determine the number of detectable WLANs in the Perth Central Business District (CBD) and subsequently, the percentage of them that have enabled Wired Equivalent Privacy (WEP). Additionally, phase 1 was able to show how many WLANs were still using the manufacturer's default settings and how the network devices may be grouped according to manufacturt! r. The general aims of the second phase were to find out if the IT managers of various Perth organisations were aware of the security issues related to WLANs and to find out the degree to which the security tools and processes have been implemented. These aims were also achieved and in addition, anecdotal infonnation was collected and analysed. The results of this study indicate that in the Perth CBD, the majority of those persons responsible for the implementation and management of wireless networks are aware of the problems and have taken steps to secure their netwo;ks.
Optimal Resource Allocation and Task Segmentation in IoT Enabled Mobile Edge Cloud

Recent development toward innovative applications and technologies like self-driving, augmented reality, smart cities, and various other applications leads to excessive growth in the number of devices. These devices have finite computation resources and cannot handle the applications that require extensive computation with minimal delay. To overcome this, the mobile edge cloud (MEC) emerges as a practical solution that allows devices to offload their extensive computation to MEC located in their vicinity; this will lead to succeeding the arduous delay of the millisecond scale: requirement of $5^{th}$ generation communication system. This work examines the convex optimization problem. The objective is to minimize the task duration by optimal allocation of the resources like local and edge computational capabilities, transmission power, and optimal task segmentation. For optimal allocation of resources, an algorithm name Estimation of Optimal Resource Allocator (EORA) is designed to optimize the function by keeping track of statistics of each candidate of the population. Using EORA, a comparative analysis of the hybrid approach (partial offloading) and edge computation only is performed. Results reveal the fundamental trade-off between both of these models. Simultaneously, the impact of devices’ computational capability, data volume, and computational cycles requirement on task segmentation is analyzed. Simulation results demonstrate that the hybrid approach: partial offloading scheme reduces the task's computation time and outperforms edge computing only.
Discussion on Absorption limit of kaolinitic and montmorillonitic soils Authored by H.B.Nagaraj and M.R.Suresh., Geomechanics and Geoengineering (2019), DOI: 10.1080/17486025.2019.1680881

The paper under discussion tries to relate what the authors call as absorption limits of fine-grained soils to their cone liquid limits and to study the effect of drying on the absorption limit. After a careful reading of the paper, the discusser feels that there is a need to clarify some of the issues discussed in the paper to avoid con-fusion and to have more clarity. The term absorption limit is considered by the authors as the water content absorbed by a dry soil pat at the shrinkage limit void ratio when it is allowed to
A pneumatic system of a process line for the personalisation of identity cards

The article presents the construction details of the pneumatic system used in the process of personalising ID cards within a designed technological line. The systems actuators perform most functions (supplying, basing, transport) related with the technology in question. The line's control system, utilising a main PLC controller, allows direct communication between particular actuators or complex modules controlled via controllers of the local valve islands. The hardware and software solutions employed make it possible to perform research and development projects aimed at improving the security measures of the documents with RFID identifiers by implementing verification based on electronic data stored in the RFID unit and graphics printed on it (text, bitmap, barcode) correlated with the data.
Public and Private Investment in the Port Sector in Mexico, 2000-2010： A Study Through Data Envelopment Analysis

Knowing the level of efficiency of investment applied in ports of Mexico is relevant information for the design of port policies that contribute to its development and thus to greater freight movement. The objective of this paper is to analyze the technical efficiency obtained from International Mexican Ports, through the use of the technique of Data Envelopment Analysis (DEA). It uses data regarding public and private investment in ports applied during the period 2000-2010 and its influence on the number of Twenty-foot Equivalent Unit (TEU). Because it has been applied the DEA-CCR (the linear programming model) model input oriented, thus not only the efficiency is calculated in ports, but benchmarking is also obtained to determine the efficient ports that serve as reference to those who were found to be inefficient. The results obtained showed that Manzanillo and Progreso were the most efficient ports. On the other hand, the ports that were not efficient for any of the years reviewed were Mazatlan and Lazaro Cardenas. Generally, public investment has been increasing over the period, and public policies are not designed to allow the ports to have an international projection.
Analysis Of Nigeria's National Electricity Demand Forecast (2013-2030)

with increasing dependence on agriculture, industries and day-by-day household comfort upon the continuity of electric supply from PHCN systems in Nigeria, the forecast of electrical demand have assumed a great importance. For electricity supply not to be an cog in the wheel of progress of the Nigerian economy and perhaps a snag in the attainment of the millennium development goal MDGs load forecasting must be performed to coordinate electricity demand and supply. This research work focuses on Nigeria electricity demand forecast from 2013-2030 towards vision 2025 using Time Series Analysis on past load demand.
Music Training

This chapter focuses on the possibility that music training could serve as a type of cognitive training. Music is an interesting potential avenue for cognitive training not only because music learning and processing are likely to draw heavily on executive function abilities, but also because musical experience has its own intrinsic rewards. This suggests that music training might serve as a particularly enjoyable and rewarding route to cognitive training. The authors describe some theoretical reasons to expect a strong relationship between executive function and music, describe the small body of work that has experimentally assessed the possibility that musical experience might transfer to executive function abilities, and finally recommend ways in which a music training program might strengthen cognitive abilities.
Robust least squares support vector machine algorithm for mobile location

One of the main problems facing accurate location in wireless communication systems is non-line-of-sight (NLOS) propagation. Though location methods based on learning theory perform well in NLOS environments, these methods may be further improved since they do not consider outliers in the training data set. In this letter, we extend least squares support vector machine (LS-SVM) algorithm to general cost functions, and use this algorithm to solve mobile location problem. The proposed method can effectively suppress outliers with weight function. Specially, LS-SVM algorithm can be interpreted as special case of our algorithm. Simulation results show that the location accuracy is significantly improved over traditional algorithms.
The Extent of Online Platforms Utilization for Scholarly Research Work Dissemination: A Survey of Academic Staff in African Universities

An assessment of the extent of the use of electronic platforms by African academic staff in universities to disseminate research was done in this study. The study is informed by the growing importance of online repositories and preprint servers in the scientific communication of scholarly output, especially in an era where the use of metrics for research appraisals and funding decisions is commonly practised. The quantitative research method was adopted, based on the descriptive survey research design. The snowball sampling technique was used for data collection. Data were collected from 1,977 respondents, distributed across 24 African countries, through the use of an electronic survey. There was a high rate of willingness among universities’ academic staff in Africa, to adopt various online platforms for research dissemination; ResearchGate is currently utilized the most for research dissemination, but Google Scholar is the platform respondents are more willing to adopt for research dissemination; the rate at which academic staff research output can be found online as a ratio of their total publication is 64.04% and in the ratio of 2.00:3.12; poor access to Internet facilities at home and workplaces are the major challenges academic staff face in the utilization of digital platforms for RD. It was recommended, amongst others that academic staff in universities should endeavour to explore and utilize at least ten of the online platforms mentioned in this study, to enable them disseminate their scholarly works to a wider audience and for increased visibility
OP-GBEV190191 2619..2632

TheDot/Icmtype IVBsecretionsystemofLegionellapneumophila is essential for itspathogenesisbydelivering>300effectorproteins into the host cell. However, their precise secretion mechanism and which components interact with the host cell is only partly understood. Here, we undertook evolutionary analyses of the Dot/Icm system of 58 Legionella species to identify those components that interact with the host and/or the substrates. We show that high recombination rates are acting on DotA, DotG, and IcmX, supportingexposureof theseproteins to thehost.Specificaminoacidsunderpositive selectionontheperiplasmic regionofDotF,and the cytoplasmic domain of DotM, support a role of these regions in substrate binding. Diversifying selection acting on the signal peptide of DotC suggests its interaction with the host after cleavage. Positive selection acts on IcmR, IcmQ, and DotL revealing that these components are probably participating in effector recognition and/or translocation. Furthermore, our results predict the participation in host/effector interaction of DotV and IcmF. In contrast, DotB, DotO, most of the core subcomplex elements, and the chaperones IcmS-W show a high degree of conservation and not signs of recombination or positive selection suggesting that these proteins are under strong structural constraints and have an important role in maintaining the architecture/function of the system. Thus, our analyses of recombination and positive selection acting on the Dot/Icm secretion system predicted specific Dot/Icm components and regions implicated in host interaction and/or substrate recognition and translocation, which will guide further functional analyses.
Eagle Strategy Based Maximum Power Point Tracker for Fuel Cell System

A bunch of factors including the limited fossil resources and rising of fossil fuel price have caused moving to create new structure that is based on providing energy security and protecting the environment. One of the alternatives is the fuel cell (FC). Maximum power point tracker has an important role in increasing the efficiency of the FC systems. One of the difficulties in maximum power point tracking methods is rapid changes in operating conditions which affects the maximum power point (MPP) of FC. The main contribution of this paper is presentation of a robust and reliable maximum power point tracking (MPPT) method for tracking of MPP of FC under fast variation of operating conditions. The proposed method is based on eagle strategy. In order to verify the accuracy of the proposed method, simulations are performed in MATLAB/SIMULINK. The proposed method is compared with perturb and observe (P&O) and fuzzy MPPT methods. The results show that eagle strategy based MPPT approach can track the MPP of fuel cell better than P&O and fuzzy MPPT. The main features of the proposed approach are high speed and high accuracy in MPP tracking of FC in any contingency. doi: 10.5829/idosi.ije. 2015.28. 04a.06
Inflated Mixture Models: Applications to Multimodality in Loss Given Default

In this paper, we propose an inflated mixture model to deal with multimodality in loss given default data. We propose a mixed of degenerate distributions, to handle zeros and ones excess, with a mixture of to-be-chosen bounded distributions for non-zeros and non-ones proportions. By applying the methodology in four retail portfolios of a large Brazilian commercial bank, we show that the inflated mixture of beta distributions plays better role minimizing model risk in fitting an inadequate model, in comparison with others considered competitive models. We explore the use of maximum likelihood estimation procedure. Monte Carlo simulations are carried out in order to check its finite sample performance.
Fault tolerant control of a three‐phase PMSM by limiting the heat of an inter‐turn fault

Projekt DEAL Open access funding enabled and organized by Projekt DEAL Abstract Inter‐turn faults are most commonly the initial stator winding fault in power trains with Voltage Source Inverters. Without counteractions, these faults can propagate and cause catastrophic failures in safety critical applications like all‐electric aircraft. The propagation of an inter‐turn fault can be reduced, by limiting the local temperature at the fault. In this article, a fault tolerant control scheme is designed and validated, which reduces the heat of an inter‐turn fault by a controlled adaption of the operating point. The control strategy utilizes the hyperbolas of constant torque and the controller design is based on a linear time‐invariant system description. A machine learning regression is used for the online heat estimation and a 3D lumped‐parameter model to evaluate the thermal effectiveness. To test the control scheme, an inter‐turn fault is actively switched, which generates the local heat equal to 13% of the overall stator copper losses. The control scheme adopts the operating point within 30 electric periods, which reduces the generated heat of the inter‐ turn fault by 70%. This causes a temperature reduction at the fault locally from 367°C to 175°C, which extends the approximated insulation life from 30 s to 5000 h.
Unified SISO Loop Gain Modeling, Measurement, and Stability Analysis of Three-Phase Voltage Source Converters

Frequency-domain modeling is an effective technique in the dynamic analysis of power electronic converters-based power systems. In this paper, a unified single-input single-output (SISO) loop gain modeling for the three-phase grid-tied voltage source converters (VSCs) under both symmetric and asymmetric AC grids is presented, which facilitates the physical measurement and stability analysis. Based on the linear-time-periodic (LTP) modeling technique, the harmonic admittance model of the three-phase grid-tied VSC is developed in the stationary (αβ)-frame, which accurately captures the coupling dynamics. This model can be transformed into other existing models through coordinate transformations. According to the idea of mathematical induction, a two-by-two recursive admittance matrix (RAM) model is derived, which is easy to include frequency coupling components of arbitrary order. It is illustrated that the VSC admittance is coupled with the grid admittance due to the frequency coupling effect (FCE). Furthermore, the RAM is converted to its equivalent SISO models following the concept of loop gain. The system stability is thus assessed by the SISO stability criteria (e.g., Nyquist stability criterion). In addition, the loop gain allows the traditional SISO perturbation and measurement scheme to be used for detecting the stability margin information. Finally, simulation results verify the feasibility and correctness of the theoretical analysis presented above.