bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spinal Cerebrospinal Fluid Leak in the context of Pars Interarticularis Fracture: A Case Series
Authors: Chan Tommy Lik Hang , Cowan Robert , Hindiyeh Nada , Hashmi Syed , Lanzman Bryan , Carroll Ian 
Published: January 2020

Abstract
Introduction: Spinal Cerebrospinal fluid (CSF) leak can lead to intracranial hypotension and is an important differential diagnosis to consider in patients with sudden onset chronic daily headaches. Pars interarticularis (PI) fracture is a potential rare cause of suspected spinal CSF leak. Methods: This is a retrospective case series of 6 patients with suspected spinal CSF leak evaluated at the Stanford CSF leak headache clinic between January 2016 and September 2019. All cases were presented at the combined neuroradiology/headache neurology CSF leak conference. All patients received a magnetic resonance imaging (MRI) of the brain with and without gadolinium, MRI whole spine and full spine computed tomography (CT) myelogram. All targeted epidural patches with fibrin sealant were performed by a team member board-certified in Headache, Anesthesiology, and Pain Medicine. Treatment response at return visit (3 months post patch) was reported based on a pain intensity scale from 0 to 10, 10 being the most severe. Results: Six patients (4 females, 2 males) were diagnosed with a suspected spinal CSF leak and PI fracture. Mean age at the time of onset of headache was 39 years old, ranges from 32 to 50 years old. Mean time to targeted epidural patches with fibrin sealant was 4.5 years. All 6 patients had PI fractures identified on CT myelogram and received targeted epidural patches with fibrin sealant at the site of the PI fracture. All patients had significant improvement in their headache intensity. Conclusion: Our study highlights: 1) the importance of PI fracture as a possible culprit of suspected spinal CSF leak in patients with intracranial hypotension; 2) the added benefit of CT imaging for detecting bony abnormalities such as fractures in patients with intracranial hypotension; and 3) the successful treatment of suspected spinal CSF leak when targeting the fracture site.
Psychological, social, and motivational factors in the drug user care-seekers
Authors: Shahrabadi Sana , Jalali Amir , Jalali Rostam , Gholami Ali 
Published: January 2020

Abstract
Background In addition to the family and society’s support, the drug user plays a key role in the process of treatment and rehabilitation. Therefore, it is imperative to find the psychological, social, and motivational factors that can help them in the treatment process. The present study is an attempt to determine the relationship of psychological, social, and motivational factors and demographics of drug user care-seekers. Methods An analytical cross-sectional study was carried out. Psychological, Social, and Motivational Performance Questionnaire for drug users was first translated into Farsi and validated after securing a permission from the copyright holder of the tool. Participants were 250 drug user care-seekers under methadone therapy who were selected through convenient sampling. Before analyzing the collected data, validity and reliability of the tool were confirmed using confirmatory and exploratory factor analyses. Given the scale of demographical data, suitable statistics were used to analyze the relationship between demographical variables and psychological, social, and motivational factors. Results The results of exploratory and confirmatory factor analyses showed that out of 83 statements in the original questionnaire, 55 statements categorized into 11 aspects were usable for Iranian population. The results showed that gender, income, and marital status were effective in psychological performance of the drug users (P<0.05). However, education level, domicile, and type of drug and consumption did not have a significant relationship with social performance of the participants (p>0.05). There was a significant relationship between age, number of children, and history of using drug and psychological performance of the participants (P<0.01). The results showed that the demographics did not have a notable effect on the participants’ motivation for treatment; only marital status had a significant relationship with the participants’ readiness for treatment (P<0.05). Conclusion As the results showed, the demographical variables could affect physical, psychological, and motivational readiness in the participants.
Education as a moderator in the effect of successful aging on mortality risk in elderly Chinese: A national longitudinal study (2011-2016)
Authors: Luo Huiqiang , cao peiya , Li Jijie , Ren Xiaohui , wang yixi , chen qing , Li ningxiu 
Published: January 2020

Abstract
Background Some literatures have found that successful aging and its components were significantly associated with older adults’ health, their achievement has a positive effect on reducing mortality rates. However, there is little evidence to discuss whether education modified the effect of successful aging on morality risk. A majority of literatures from worldwide were cross-sectional andprevious studies on the association between successful aging and mortality in China are quite little. It aims to evaluate the effect of successful aging and each of its components on mortality risk of older in China and further discussed whether education was a moderator in this effect. It also investigated differences in results among males and females. Methods Data was collected from CHARLS (China Health and Retirement Longitudinal Study), which is a nationally representative follow-up survey. Cox proportional hazards model was used to estimate the education's moderate effect on the relationship between successful aging and mortality. Results In total, 4824 residents aged 60 years and above were recorded. 15.18%(n=367)for males and 15.74%(n=379) for females were defined as successful aging and the mortality were 2.61%(n=63)for males and 3.45%(n=83) for females during the survey. It is the first longitudinal study using national cohort data to research the educational effects on the association between mortality and successful aging, the study showed that the effect only existed in females aged 65-74 years old group with lower education. Conclusions Education has the significant effect on the relationship between successful aging and mortality. Physical health is significantly associated with the achieving of successful aging among young older. More measures should be paid on improving mental health among the young female older with lower education to achieve successful aging and to against mortality and live longevity.
Regional heterogeneities of health literacy in China: a population-based study
Authors: Li Zhenhua , Tian Yongquan , Xiao Shuiyuan , Gong Zhicheng , Qian Long 
Published: January 2020

Abstract
Background: Few studies described the geographic variations of health literacy in China. This study aimed to investigate the regional heterogeneities of health literacy level in Chinese population, in order to formulate targeted health literacy promotion strategies in different economic and cultural contexts.Methods: Multi-stage stratification, clustering, and random sampling methods were used to select 70 study sites from 25 provinces or municipalities in China. Health literacy was measured using the National Resident Health Literacy Monitoring Questionnaire. MapInfo software was used to map the geographic distribution. Multiple logistic regression was used to adjust for the factors associated with the health literacy level in the total and regional samples.Results: A total of 3,482 participants were included in the study, including 1,792 (51.5%) males and 1,690 (48.5%) females. A notable geographic variation was observed in the health literacy level. The proportion of respondents with adequate health literacy was 22.3%, including 33.0% in the eastern region, 23.1% in the central region, and 17.6% in the western region. The proportion of adequate health literacy in different provinces or municipalities ranged from 10.5%(Xinjiang) to 47.0%(Beijing). Being female (odds ratio [OR]=1.360, 95% confidence interval [CI]: 1.153-1.605), having a higher education level (OR=1.860, 95% CI: 1.671-2.070), having better economic status (OR=1.353, 95% CI: 1.220-1.502), having better self-rated health status (OR=1.263, 95% CI: 1.081-1.476), and having more community health education (OR=1.192, 95% CI: 1.034-1.374) were independently associated with adequate health literacy.Conclusions: The health literacy level of Chinese people is still low, with heterogeneities among different regions, between urban and rural areas, and among different social groups. With respect to health literacy promotion efforts, more attention should be given to behavioural changes and the continuous exploration of methods of developing healthy behaviours and lifestyles. Ways of improving the health literacy levels of people in different regions should be adapted to local conditions. Health education should be strengthened for low-income people in the central and eastern regions. Special emphasis should be placed on the intensity of health knowledge publicity and the accessibility of health knowledge and skills in the central and western regions.Keywords: Health literacy; Regional heterogeneities; Health Literacy Questionnaire
Relationship between Sleep Duration and All-Cause Mortality in the Older People: An Updated and Dose-Response Meta-Analysis
Authors: Niu wenquan , He Mengyang , Deng Xiangling , Zhu Yuqing , Huan Luyao 
Published: January 2020

Abstract
Background Short or long sleep duration is recognized as a potential risk factor for all-cause mortality in the older people, yet the results are not often reproducible. Objectives We aimed to investigate whether sleep duration was associated with an increased risk of all-cause mortality in the older people through a comprehensive meta-analysis. Methods Literature retrieval, research selection and data extraction were done independently and in duplicate. Effect-size estimates are expressed as odds ratio (OR) and 95% confidence interval (CI). Results Summary data from 35 articles, involving 11746 older people, were meta-analyzed. Overall analyses revealed a significant association between long sleep duration and all-cause mortality in the older people (OR=1.27, 95% CI: 1.19-1.35, P <.001), and short sleep duration was marginally related to the all-cause mortality in the older people (OR=1.05; 95% CI: 1.00-1.09; P =.045). The Egger’s test indicated no publication bias between sleep duration and all-cause mortality in the older people. In subgroup analyses, the association with all-cause mortality was reinforced in older people women with long sleep duration (OR=1.48, 95% CI: 1.18-1.85, P =.002) relative to older people men with long sleep duration (OR=1.3, 95% CI: 1.10-1.50, P =.001). Further dose-response analyses showed a J-shaped relationship between sleep duration and all-cause mortality in the older people. Conclusions Our meta-analytical findings demonstrated a J-shaped relationship between sleep duration and all-cause mortality in the older people. For long sleep duration, older people women had a higher mortality rate than older people men.
Application of K-means Algorithm in Geological Disaster Monitoring System
Authors: Jianguo Wang , Linyao Xue 
Published: January 2020

Abstract
The K-means algorithm is considered to be the most important unsupervised machine learning method in clustering, which can divide all the data into k subclasses that are very different from each other. As K-means algorithm is simple and efficient, it is applied to data mining, knowledge discovery and other fields. This paper proposes CMU-kmeans algorithm with improved UPGMA algorithm and Canopy algorithm. The experimental results is that the algorithm can not only get the number k of the initial clustering center adaptable, but also avoid the influence of the noise data and the edge data. Also, the improved algorithm can void the initial effect of the random selection on the clustering, which reflects the actual distribution in the dataset.
Readings of Portable UV Spectrum Analyzer Data Based on Raspberry Pi
Authors: Shuping Xu , Mengyao Huang , Pei Xu 
Published: January 2020

Abstract
Most of the spectrometer has the advantages of large volume, inconvenient carrying, slow data reading, long development cycle and high cost. In view of this situation, this paper presents a raspberry based portable spectrum analyzer. The general structure, working principle and data reading principle of the portable ultraviolet spectrum analyzer system based on raspberry faction are introduced in detail. And the raspberry sent a brief introduction, and finally introduced the raspberry pie to the development of the environment configuration, and the use of Python-Qt prepared control software for data read. The final test shows that the system interface is simple and friendly, stable operation, you can quickly read the data from the spectrometer, to meet the actual requirements.
Cheap and Simple Slip Sensor Based on the Optical Sensor
Authors: Liu Feibi 
Published: January 2020

Abstract
The purpose of this project is to manufacture a cheap and simple slip sensor. The slip sensor is based on the optical sensor. The experiment divides into two parts, how to build sensor and how to test the features of the sensor. The slip sensor could be divided into three parts, cover, optical sensor and adaptor board, which will connect to the suitable resistors circuit to obtain the large gain. During the test, the participant applies the static state way to measure the relationship between input and output with a white cover and a gray cover. The slip sensor with the white cover has low hysteresis and high repeatability which are better than the gray cover.
Incremental Association Rule Mining Algorithm Based on Hadoop
Authors: Ying Zhu , Jianguo Wang 
Published: January 2020

Abstract
Aiming at the problems of low efficiency, low cost of time and space, this paper proposes an incremental association rule mining algorithm based on Hadoop load balancing. In combination with the tree structure, when the data in the database is constantly updated, it does not need to scan the original database to generate frequent item sets, and use the load balancing in the data distribution so that the master node distributes the data to the child nodes evenly. In the experiment of control variable method, the variables of minimum support and sample increment are processed respectively. The experimental results show that when the minimum support is unchanged and the transaction data set is increased, the incremental association rule mining algorithm based on Hadoop load balancing takes less than 14.3% of the Apriori algorithm. The number of association rules mined by the algorithm is more than that of the Apriori algorithm. And the memory usage of the Hadoop-based incremental association rule mining algorithm is much smaller than the Apriori algorithm; when the total amount of transaction data is constant and the minimum support is changed, the memory usage of the Hadoop-based incremental association rule mining algorithm is smaller than the Apriori algorithm. The Hadoop-based incremental association rule mining algorithm has some improvements in memory usage and efficiency.
Traveling Route Generation Algorithm Based On LDA and Collaborative Filtering
Authors: Cui Peng , Wang Yuming , Li Chunmei 
Published: January 2020

Abstract
With the rapid development of China’s economy and the increase in tourism consumption, the number of people in traveling in domestic tourism has increased rapidly each year, and more travelers choose privately customized travel routes, so reasonable travel route is generated based on the actual users’ needs has become a hot research spot in the current industry and academia. However, as far as practical application is concerned, the planning of travel routes is a comprehensive and complex task. Reasonable travel routes include comprehensive features such as reasonable travel cities, travel time, transportation methods, and itinerary arrangements. At present, the traditional method is basically that the customer manager can manually plan the suitable travel route for the user through collecting the user’s needs, and then modify and adjust by communicating with the customer. The problem that this brings is that the customer manager needs to compare information such as users’ needs, travel price, travel time, travel transportation, and scenic spot arrangements when planning numerous travel routes. Obviously, the traditional methods have significant disadvantages such as low efficiency and long time-consuming. Bring a great burden to the staff and it is incompatible with the development of the current industry.
In order to solve the above problems, we put the historical travel routes collected as data sets in the paper, and a travel route recommendation and generation algorithm based on LDA and collaborative filtering is designed. Reasonable city recommendation list and playing time are the basis and focus of route planning. The paper is based on the many shortcomings in the traditional travel route planning method, and takes the city’s recommendation and time planning as the main focuses on work. In this work, different recommendation algorithms were designed, including a recommendation algorithm based on Latent Dirichlet Allocation (LDA) and collaborative filtering. By analyzing the performance of the recommendation algorithm on the data sets, the recommendation algorithm is improved and optimized. The LDA algorithm based on KDE (Kernel Density Estimation) and classification, the collaborative filtering algorithm based on KDE and classification. The final experimental results show that the optimal city list and travel time generated by the recommended algorithm are more reasonable and satisfy the actual use of the user.
A Full Decimal Method of Address Assignment for Networked Computer
Authors: Zhan Xin , Xie Jianping , Jin Liming , Lai Jiawen 
Published: January 2020

Abstract
The full decimal method of address assignment for networked computers and intelligent terminals which input into the computer through various input devices of the computer and intelligent terminals is realized, and then, the external address of networked computer and intelligent media stored in the database and the internal arithmetic address are created correspondingly through a variety of transmission media by combination of different computer hardware and software. The new address assignment method can provide sufficient address space for development of Internet in the future, and it also provides enough address for application of various personal information household appliances and logistics in electronic commerce and other entities and personal communication terminals while ensuring multiple levels of address structure. This paper mainly introduces the decimal address allocation algorithm and address format, which provides a solid foundation for the next generation Internet architecture design.
Application of Chaotic Encryption in RFID Data Transmission Security
Authors: Yang Jianfang , Liu Baolong , Yao Huimin 
Published: January 2020

Abstract
In order to improve the security performance of data transmission in the RFID system, the sequence generated by the chaotic map is used to encrypt the data transmitted between the reader and the tag in the RFID. Based on the unpredictability, extreme sensitivity to initial conditions, and pseudo-random characteristics of chaotic sequences, the information of each electronic tag is encrypted with a unique chaotic sequence. The same operation mechanism is used to encrypt and decrypt data, and a security model based on chaotic encryption is established. At the same time, the read/write control mechanism and security issues are explained.
A Secure Voice Signature Based Lightweight Authentication Approach for Remote Access Control
Authors: Olakanmi Oladayo Olufemi , Shodipo Aminat 
Published: January 2020

Abstract
Crypto-authentication schemes become unreliable whenever the private key is compromised, making them unfit for any system or network that requires high level of confidentiality. Key compromise is inevitable due to the wider space of operability of key in most of the cryptography based authentication schemes. To improve the performance of any authentication system, there is need to narrow its key operability to the key owner, that is eliminating the influence of other parties in the key generation and operability. However, this is quite difficult especially for any network that is characterised with low computation and energy, and relied on the third party for key management. In this paper, we propose the adoption of Mel-Frequency Cepstral Coefficients (MFCC) based voice signature based authentication scheme with a taint of cryptography operation. The scheme extracts the user’s voice signature as the hash of the MFCC parameters of the voice and unique passcode which is used for the authentication. We used exclusive or to filter off remnant of noise from MFCC values without incurring extra hardware cost. The performance evaluation results show authentication accuracy of 87.8% at low computation cost and communication overhead.
Hazard Grading Model of Terrorist Attack Based on Machine Learning
Authors: Yu Jun , Xian Tong , Hu Zhiyi , Liu Yutong 
Published: January 2020

Abstract
In this paper, there is no unified grading standard for the harm of terrorist attacks. A classification model of terrorist incidents based on machine learning is proposed. First, the data related to the hazard in the Global Terrorism Database (GTD) is extracted and preprocessed. Secondly, the data is extracted by principal component analysis, and all events are aggregated into 5 by K-means clustering. Again, the entropy method is used to calculate the weighting coefficient of each indicator, and the comprehensive score of the hazard of each type of terrorist attack is calculated. Finally, the scores are divided into 1-5 levels of hazard grading models in order of high to low. The results show that the hazard grading model can scientifically and objectively quantify terrorist attacks.
Research and Development of Millimeter Wave Technology
Authors: Junying Bai , Yongli An 
Published: January 2020

Abstract
This paper introduces the concept of millimeter wave, analyzes the advantages and disadvantages and propagation characteristics of millimeter wave, and expounds the research status of millimeter wave ground communication and millimeter wave satellite communication. The military application of millimeter wave communication technology in electronic countermeasures is taken as an example. Finally, the outlook for millimeter wave communication technology will open up new application fields in the future and have broad development prospects.
NATURAPOLYCEUTICS – EMERGING SCIENCE & TECHNOLOGY IN DRUG DELIVERY SYSTEM.
Authors: Gaur Nishant , Srivastava Shikha , Parvez Nayyar 
Published: January 2020

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This review mainly put emphasis on properties and recent applications of various natural polymers (Naturapolyceutics) used in drug delivery development process including alginate, chitosan, starch, cellulose, gums etc. Naturapolyceutics is the platform that blends natural polymers and Pharmaceutics for the design and development of drug delivery systems. Natural polymers due to their biological properties, sustainability, human and eco-friendliness are promising in this field. Polymers as an excipient influence drug release and should be compatible, non-toxic, stable, economic etc. Nowadays, due to many problems associated with drug release and side effects manufacturers are inclined towards using natural polymers.
In future, these natural materials have many advantages over synthetic ones as they are non-toxic and most important, a constant rate of drug release can be achieved from a natural polymer based controlled release device’s.