bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Analysis of Thermoplastic Metal Detector RC Car with Wireless Charging
Authors: El-Sadi Haifa , Cole Matthew R. , Denis Aaron M. , Fernandes Derek , Benhamu-Chocron Alberto 
Published: January 2020

Abstract
The RC Car industry is a growing industry that will always be a past time for the older generation. This research is focused on a specific type of RC Car which is a Metal Detecting one. Metal Detectors have been developed for many years. Through research there aren’t many metal detecting RC Cars on the market. Currently it’s extremely limited in range and depth of detection.
The goal of this research is to improve, build and test a new RC-metal detector technology. A thermoplastic-ABS used to build the chassis of the RC- metal detector. ABS is easily machined, sanded, glued and painted. Finite element analysis is a powerful tool that allows us to quickly analyze and refine a design. When the Chassis fixed at front Differential (Displacement), the value of the maximum stress and the deflection are higher than when the Chassis Fixed at Rear Differential. The maximum deflection is shown as about 1.339 inches. This value is the resultant of the deflection in all three directions. This research includes, a cost analysis for each piece of the car, group goals for the RC Car and Metal Detector. A working prototype is designed before moving into the final design phase in order to assure that the best possible product can be produced. There is a wireless charging station that ease the process of recharging the battery.
Research and Improvement of Apriori Algorithm Based on Hadoop
Authors: Pengfei Gao , Jianguo Wang , Pengcheng Liu 
Published: January 2020

Abstract
Association rules can forcefully get a horizontal relation in the big data, the Apriori algorithm is one of the most significant association rules. Traditional mining based on parallel Apriori algorithms needs much more time in data IO with the increasing size of large transaction database. This paper improves the Apriori algorithm from compressing transactions, reducing the number of scans and simplifying candidate set generation. And then the improved algorithm is parallelized on the Hadoop framework. The experiments show that this improved algorithm is suitable for large-scale data mining and has good scalability and effectiveness.
Anfis Coordination of Changes In Power Oscillation Damper Parameters with Variation In Power System Operating Point
Authors: Alabi Dr I. I. , Araga Dr A. I. , Aliyu Mr Sabo 
Published: January 2020

Abstract
In this paper an Adaptive Neuro-Fuzzy Controller was designed to adaptively adjust the parameters of a power Oscillation Damper as the power system operating point changes due to change in operating point in a large interconnected Network fitted with FACTS device and Power Oscillation Damper. As a foundational work the generalized mathematic model of multi-machine power system with embedded FACTS was developes. The results obtained clearly reveals the effectiveness of this approach.
Solutions for Governance and Suppression of Power Harmonic in Cities
Authors: Xiangchu Li , wei Zhang 
Published: January 2020

Abstract
Based on the current status of cities’ power supply and distribution system, this paper conducts theoretical and experimental investigations over the generation, harzards as well as the restraining and suppression techniques of power harmonics. A solution of scheme selection for controlling and suppressing power harmonics suitable for the current power supply and distribution system of big and medium-sized cities is proposed. This study not only provides important implications for big and medium-sized cities, but also provides substantial reference value for cont rolling and suppressing power harmonics in the public utility system in China.
Implementation of Pan-Tilt System for Locating Based on ARM
Authors: Shuping Xu , Yiwei Chen , Zhiyong Zhang , Hao Li 
Published: January 2020

Abstract
The purpose of this paper was to implement a cheaper Pan-Tilt System than the traditional one which based on servo. The hardware platform consisted of the module of locating perception, the s3c2440 controller and the driver of stepper, and the Pan-Tilt System could stabilize at positions at arm/Linux circumstances controlled by software we programmed. The Pan-Tilt System had higher stability of dynamic under the condition of low frequency of pulse or high subdivision, and higher precise under high subdivision. This solution of Pan-Tilt System, suited for the place of low speed or loose real time, owns values of use and reference. The strategy was put forward for improving.
One Novel Control Strategy for AC-DC-AC Converter Without DC Link Electrolytic Capacitor
Authors: Xie Shihong , Meng Yanjing 
Published: January 2020

Abstract
A novel control strategy for ac-dc-ac converter without electrolytic capacitor is proposed to settle the disadvantage of the traditional converter caused by large electrolytic capacitors. This study is developed in four parts: first, after analyzing for the large electrolytic capacitor defect, one novel electrolytic capacitor-less converter and its control strategy are proposed; second, the efficiency of voltage conversion for the novel converter is deduced and compared with the conventional converter, third, the mathematics model of the converter is built; forth, some simulation tests are carried out to verify the performance of converter. The simulation results show that the proposed converter is valid.
Radix-8 Design Alternatives of Fast Two Operands Interleaved Multiplication with Enhanced Architecture
Authors: Asad Mohammad M. , Marouf Ibrahim , Al-Haija Qasem Abu 
Published: January 2020

Abstract
In this paper, we proposed different comparable reconfigurable hardware implementations for the radix-8 fast two operands multiplier coprocessor using Karatsuba method and Booth recording method by employing carry save (CSA) and kogge stone adders (KSA) on Wallace tree organization. The proposed designs utilized ALTERA Cyclone IV FPGA family with target chip device EP4CGX–22CF19C7 along with simulation package. Also, the proposed designs were synthesized and benchmarked in terms of the maximum operational frequency, the total path delay, the total design area and the total thermal power dissipation. The experimental results revealed that the best multiplication architecture was belonging to Wallace Tree CSA based Radix-8 Booth multiplier (WCBM) which recorded: critical path delay of 14.103 ns, maximum operational frequency of 90.83 MHz, hardware design area (number of logic elements) of 14249 LEs, and total thermal power dissipation estimated as 217.56 mW. Consequently, WCBM method can be efficiently employed to enhance the speed of computation for many multiplication based applications such embedded system designs for public key cryptography.
Image Transformation Based on Generative Adversarial Networks
Authors: Chen Jie , Zhao Li 
Published: January 2020

Abstract
Image transformation is a hot topic in the field of computer vision. Its purpose is to use the existing similar or semblable images to learn the mapping between the input image and the output image. Generative Adversarial Networks model is a powerful generative model with the idea of Zero-sum game theory, Co-training the two through the confrontation learning method of the generator and the discriminator, so as to estimate the potential distribution of data samples and generate new data samples. This paper is based on the generative adversarial networks and the existing network, the image transformation is realized by combining the two network structures of DCGAN and Cycle GAN. Experimental results show that this method not only effectively solves the problem that paired images are not easy to obtain, but also fully demonstrates the superiority of the generated adversarial networks in image transformation.
Design and Research of Healthy Ecology System Framework Based on IPV9
Authors: Li Qinyu , Zhao Hongwen , Geng An , Han Lei 
Published: January 2020

Abstract
With the improvement of living standard and the change of life, people’s health awareness has been enhanced as a whole, and the health demand has changed from single medical service to multiple services such as disease prevention, health promotion, healthcare and rehabilitation. The wisdom medical system, Internet + medical service mode and digital hospital have become the direction of medical development. In order to build Tai’an healthy big data ecological domain, accelerate the traditional medical process informatization reform, and improve the application level of information service, we build a medical system with the support of new generation network IPV9 technology. The system is based on the medical institutions in Tai’an city, Shandong province, and has researched and implementation of the health ecosystem business structure, core technology, network architecture, system software and hardware, and system security. The system was put into trial operation in the medical institutions of the whole city and has achieved perfect results.
Global Internet Come into a New DNS Era
Authors: Chengjin Mou 
Published: January 2020

Abstract
DNS, short for Domain Name System, is an analytic central system, which transfers domain names into IP addresses that can be identified by the Internet. DNS has internal traits within it to conduct commands and regulations in network communication, as well as centralized ones that are inherently political. Unlike other Internet protocols, DNS protocols penetrate the Application Layer, the Internet Layer, the Transport Layer, and provide even more complicated, tailored low-level software that are feasible to the DNS, ranging from authorized Domain Name Servers to Recursive Domain Name Servers, a domain system based Content Distribution Network (DN-CDN), whether private or public, inside or outside the network, it must be dependent on the service provided by Domain Name System (DNS). DNS includes the increase in Client Subnet in DNS Extension Mechanism (EDNS) to conduct more accurate matches to push service.
Street View House Number Identification Based on Deep Learning
Authors: Yang Haoqi , Yao Hongge 
Published: January 2020

Abstract
In this paper, the difficult problem of character recognition in natural scenes caused by many factors such as variability of light in the natural scene, background clutter and inaccurate viewing angle, and inconsistent resolution. Based on the deep learning framework PyTorch, a convolutional neural network is implemented. Based on the classic LeNet-5 network, the network optimizes the input layer to accept three-channel images, changes the pooling method to maximum pooling to simplify parameters, and the activation function is replaced by Rectified Linear Unit with faster convergence. The cross-entropy loss is used instead of the minimum mean square error to mitigate the slow learning. Furthermore, we also enroll the gradient descent optimization algorithm RMSprop and L2 regularization to improve the accuracy, speed up the convergence and suppress the over-fitting. The experiment results show that our model achieved an accuracy of 92.32% after training for 7h24min on the street view house number(SVHN) dataset, effectively improving the performance of LeNet-5.
The efficacy of manualized Cognitive Behavior Therapy conducted by student-therapists treating Danish youths with anxiety using a benchmark comparison
Authors: Johnsen Daniel Bach , Arendt Kristian , Thastum Mikael 
Published: January 2020

Abstract

Background:
Several systematic reviews have demonstrated the efficacy of cognitive behavioral therapy (CBT) treating anxiety disorders in children and adolescents (hereafter referred to as youths). Treatment of anxiety disorders conducted by student therapists (ST) has been found to be an effective alternative, to treatment conducted by psychologists.

Objective:
The primary aim of the study is to investigate the effects of ST treating youths, using a group-based CBT program. Second, the study aims to compare these results with outcomes achieved by professional-therapists (PT).

Method:
The study investigate in an open trial design, the treatment outcome from a manualized CBT program (Cool Kids) in a group of youths (n = 54) treated by ST. Results are benchmarked against the outcomes of a group of youths (n = 56) treated by PT using the same program, derived from a separate randomized controlled trial.

Results:
There was a significant reduction of both self-reported and clinician rated measures of youth anxiety over time in the ST group, with small to large effect sizes. No significant differences of improvements in self-report measures were found between the ST and the PT groups. There was no significant difference in remission rates for participants’ primary anxiety disorder between the ST (50.0%) and the PT (66.1%) at post-treatment or at three-month follow-up (ST: 74.1%, PT: 76.8%). There was a significant difference regarding number of youths free of all anxiety disorder between the ST (14 [25.9%]) and PT (27 [48.2%]) group at post-treatment. This difference was not significant at three-month follow-up (ST: 25 [46.3%], PT: 33 [58.9%]).

Conclusion:
The findings support previous findings, suggesting that student-therapists, receiving training and supervision, can successfully treat youths with anxiety disorders using a manualized CBT program. The outcomes following CBT treatment conducted by ST are comparable to outcomes achieved by PT.
The shortened version of the Adolescent Stress Questionnaire (ASQ-S; Sweden): a validation study in United Kingdom adolescents
Authors: McKay Michael , Andretta James , Perry John 
Published: January 2020

Abstract

Background:
Stress is an important variable of consequence, particularly in adolescence, a period of intense physical and psychological change. The measurement of stress in adolescence has been widely discussed, and a number of versions of the Adolescent Stress Questionnaire (ASQ) have been developed and validated. The present study sought to examine the psychometric properties (model fit, invariance, internal consistency, and construct validity) of the ASQ-S, which was recently developed in a Swedish context.

Objective:
The study was a secondary analysis of data gathered on the full ASQ. The ASQ-S retained nine of the ten ASQ scales, and a study in Swedish adolescents suggested that the scale was psychometrically valid, gender invariant, and that scores were internally consistent. This is the first study to examine the properties of the ASQ-S in an English-speaking population. Participants were high school children in the UK (N = 610, 61.0% girls) from school year 8 through 12.

Results:
Confirmatory factor analysis (CFA) revealed that the nine factor solution fit the data well (χ2s-b(288) = 751.60, CFI = 0.958, TLI = 0.948, SRMR = 0.040, RMSEA = 0.051 [90% CI = 0.047, 0.056]), and that scores were gender, school type (academic versus comprehensive), and school stage (junior versus middle high school) invariant. The nine scales correlated negatively with academic, social, and emotional self-efficacy scores, and self-esteem scores, to varying degrees. Girls reported higher stress levels than boys in six of the nine scales. A regression analysis, adjusted for gender and year in school, suggested that only the stress of peer pressure (negatively) was significantly related to adolescent alcohol use.

Conclusions:
Overall this study suggests that the ASQ-S could be a valid measure of adolescent stress, although concerns remain regarding the convergent validity of scale scores.
Glioblastoma: Prognostic Factors and Predictive Response to Radio and Chemotherapy
Authors: Fiorica Francesco , Colella Maria , Taibi Rosaria , Bonetti Andrea , Giuliani Jacopo , Perrone Maria Sole , Missiroli Sonia , Giorgi Carlotta 
Published: January 2020

:
Glioblastoma multiforme (GBM) is characterized by poor prognosis despite an
aggressive therapeutic strategy. In recent years, many advances have been achieved in the
field of glioblastoma biology.

:
Here we try to summarize the main clinical and biological factors impacting clinical prognostication
and therapy of GBM patients. From that standpoint, hopefully, in the near future,
personalized therapies will be available.
Computer Assisted Models for Blood Brain Barrier Permeation of 1, 5-Benzodiazepines
Authors: Dhavale Rakesh P. , Choudhari Prafulla B. , Bhatia Manish S. 
Published: January 2020

Aim:
To generate and validate predictive models for blood-brain permeation (BBB) of
CNS molecules using the QSPR approach.

Background:
Prediction of molecules crossing BBB remain a challenge in drug delivery. Predictive models are designed for evaluation of set of preclinical drugs which may serve as alternatives for determining BBB permeation by experimentation.

Objective:
The objective of the present study was to generate QSPR models for the permeation of
CNS molecules across BBB and its validation using existing in-house leads.

Methods:
The present study envisaged the determination of the set of molecular descriptors which
are considered significant correlative factors for BBB permeation property. Quantitative Structure-
Property Relationship (QSPR) approach was followed to describe the correlation between identified
descriptors for 45 molecules and highest, moderate and least BBB permeation data. The molecular
descriptors were selected based on drug-likeness, hydrophilicity, hydrophobicity, polar surface area,
etc. of molecules that served the highest correlation with BBB permeation. The experimental
data in terms of log BB were collected from available literature, subjected to 2D-QSPR model generation
using a regression analysis method like Multiple Linear Regression (MLR).

Result:
The best QSPR model was Model 3, which exhibited regression coefficient as R2= 0.89,
F = 36; Q2= 0.7805 and properties such as polar surface area, hydrophobic hydrophilic distance, electronegativity,
etc., which were considered key parameters in the determination of the BBB permeability.
The developed QSPR models were validated with in-house 1,5-benzodiazepines molecules and
correlation studies were conducted between experimental and predicted BBB permeability.

Conclusion:
The QSPR model 3showed predictive results in good agreements with experimental results for blood brain permeation. Thus, this model was found to be satisfactory in achieving goodcorrelation between selected descriptors and BBB permeation for benzodiazepines and tricyclic compounds.
Alkaloids as Anticancer Agents: A Review of Chinese Patents in Recent 5 Years
Authors: Tao Hongyu , Zuo Ling , Xu Huanli , Li Cong , Qiao Gan , Guo Mingyue , Lin Xiukun 
Published: January 2020

Background:In recent years, many novel alkaloids with anticancer activity have been found in China, and some of them are promising for developing as anticancer agents.Objective:This review aims to provide a comprehensive overview of the information about alkaloid anticancer agents disclosed in Chinese patents, and discusses their potential to be developed as anticancer drugs used clinically.Methods:Anticancer alkaloids disclosed in Chinese patents in recent 5 years were presented according to their mode of actions. Their study results published on PubMed, and SciDirect databases were presented.Results:More than one hundred anticancer alkaloids were disclosed in Chinese patents and their mode of action referred to arresting cell cycle, inhibiting protein kinases, affecting DNA synthesis and p53 expression, etc.Conclusion:Many newly found alkaloids displayed potent anticancer activity both in vitro and in vivo, and some of the anticancer alkaloids acted as protein kinase inhibitors or CDK inhibitors possess the potential for developing as novel anticancer agents.
Yokukansan, a Japanese Herbal Medicine, Suppresses Substance P-Induced Production of Interleukin-6 and Interleukin-8 by Human U373 MG Glioblastoma Astrocytoma Cells
Authors: Yamaguchi Keisuke , Yamazaki Sho , Kumakura Seiichiro , Someya Akimasa , Iseki Masako , Inada Eiichi , Nagaoka Isao 
Published: January 2020

Context:Yokukansan is a traditional Japanese herbal medicine that has an antiallodynic effect in patients with chronic pain. However, the mechanisms by which yokukansan inhibits neuropathic pain are unclear.Objective:This study aimed to investigate the molecular effects of yokukansan on neuroinflammation in U373 MG glioblastoma astrocytoma cells, which express a functional high-affinity neurokinin 1 receptor (substance P receptor), and produce interleukin (IL)-6 and IL-8 in response to stimulation by substance P (SP).Methods:We assessed the effect of yokukansan on the expression of ERK1/2, P38 MAPK, nuclear factor (NF)-κB, and cyclooxygenase-2 (COX-2) in U373 cells by western blot assay. Levels of IL-6 and IL-8 in conditioned medium obtained after stimulation of cells with SP for 24 h were measured by enzyme-linked immunosorbent assay. All experiments were conducted in triplicate. Results were analyzed by one-way ANOVA, and significance was accepted at p< 0.05.Results:Yokukansan suppressed SP-induced production of IL-6 and IL-8 by U373 MG cells, and downregulated SP-induced COX-2 expression. Yokukansan also inhibited phosphorylation of ERK1/2 and p38 MAPK, as well as nuclear translocation of NF-κB, induced by SP stimulation of U373 MG cells.Conclusion:Yokukansan exhibits anti-inflammatory activity by suppressing SP-induced production of IL-6 and IL-8 and downregulating COX-2 expression in U373 MG cells, possibly via inhibition of the activation of signaling molecules, such as ERK1/2, p38 MAPK, and NF-κB.
Deinbollia pinnata: Isolation and Characterization of Some Phytochemicals from Aerial Parts and their Antioxidant Potential
Authors: Rufai Yakubu , Basar Norazah , Sani Aliyu 
Published: January 2020

Background:
Deinbollia pinnata belonging to Sapindaceae family are known as
medicinal plants for the treatment of human diseases. Because of human over-exploitation, the
choice of phytochemicals re-search and screening was made to add to the available compounds and
ethno-medicinal records.

Objective:
To investigate phytochemicals and their antioxidant activities.

Methods:
Antioxidant assay (DPPH, ABTS, FRAP) activities; phytochemical contents (Folin
Ciocalteaus’s (FC) and aluminum chloride) methods; and phytochemical analysis were employed.
Successful characterization of isolates using spectroscopic methods (1H NMR, 13C NMR, FTIR and
GC-MS analysis).

Results:
Alkaloid, simple sugar, phenolics, tannins and steroids were present in all the parts.
Saponin, terpenes and flavonoids were found in both leaves and root bark, while root bark and
heartwood possessed quinones. The methanol extracts demonstrated total phenolic content at 75. 9 ±
2.05 GAE (mg GAE/g dw) and total flavonoid content at 88.41 ± 0.56 QUE (mg QUE/g dw). The
plant extracts showed good DPPH scavenging activity with percentage inhibition more than 70% at
125 ppm. The methanol extracts showed excellent antioxidant activity towards ABTS assay with the
IC50 value of 13.68 μg/mL. The extracts also exhibited the most potent ferric ion reducer at 3.45 ±
1.30 mM FRAP equivalent. Methyl gallate (2) displayed the highest antioxidant radical scavenging
activity towards DPPH assay with the IC50 value of 0.19 μg/mL and pyrogallol (4) showed the highest
ABTS activity with the SC50 value of 7.44 μg/mL. While, 3,4-dihydroxybenzoic acid (1) also
showed the potential as ferric ion reducer ranging from 0.67± 0.01 to 3.63±0.12 mM FRAP
equivalent respectively.

Conclusion:
ased on the antioxidant activity, methanolic extracts and its isolated constituents can
be used as antioxidant sources for the management of oxidative causative diseases. Being the first
report of these phytochemicals from genius Deinbollia and specie pinnata.