Reviewerly/exHarmony huggingface dataset:
Effect of hierarchical nursing model on quality of life and motivation of cardiac surgery patients

ObjectiveTo investigate the effect of hierarchical nursing model on quality of life and enthusiasm in cardiac surgery patients.MethodsA total of 86 patients undergoing routine cardiac surgery admitted from January 2015 to June 2016 in this hospital were selected as the control group, and 86 cases of cardiac surgery patients receiving stratified care from July 2016 to December 2017 were selected as the observation group.The changes of quality of life and enthusiasm before and after treatment were compared between two groups.ResultsThe scores of physical function, physiological function, emotional function, energy, body pain, general health, mental health and social function in the observation group after 1 month of nursing were higher than those in the control group, and the differences were statistically significant(P<0.05). The enthusiasm of observation group after nursing 1 month was significantly higher than that of control group, and the difference was statistically significant(P<0.05).ConclusionThe application of hierarchical nursing model in cardiac surgery patients can effectively improve their quality of life and enthusiasm, which is worthy of clinical promotion.Key words: Hierarchical nursing model; Cardiac surgery; Quality of life; Positivity
Archived elitism in evolutionary computation: towards improving solution quality and population diversity

Many evolutionary algorithms, developed for solving complex optimisation problems, deploy the elitist strategy. The elitist strategy ensures that a group of the fittest individuals will be transferred to the next generation before performing any algorithmic operations. In general, elitism allows improving the algorithmic performance in terms of solution quality. However, transferring a group of the fittest individuals to the next generation will increase the selection pressure and significantly limit chances of the newly created offspring chromosomes to survive. In order to address the latter drawbacks, this study proposes and evaluates a number of alternative archive-based elitist strategies, where the fittest individuals are stored in the archive and transferred from that archive into the population based on certain rules. The computational experiments are conducted for the unrelated machine scheduling problem, where the total job processing cost is minimised. The results indicate that the proposed 'strong archived elitism' strategy, which samples the best individual discovered from the archive in every generation, outperforms the other elitist strategies in terms of the objective function values by up to 8.29% over the considered problem instances. Moreover, the 'strong archived elitism' strategy improves the population diversity, which further facilitates the explorative capabilities of the algorithm.
The application effect of comfort nursing in the treatment of aged patients with permanent cardiac pacemaker

ObjectiveTo investigate the effect of comfort care on the complication rate of permanent cardiac pacemaker in elderly patients.MethodsA total of 66 elderly patients undergoing permanent pacemaker implantation from August 2017 to August 2018 were selected as the study subjects.The patients who met the requirements of the study were numbered and randomly grouped by random sampling according to the order of admission, 33 patients with single number were enrolled in the control group and 33 patients with double number were enrolled in the study group.Patients in the control group received routine nursing, while patients in the study group received comfortable nursing.Anxiety and depression, quality of life and complications were compared between the two groups before and after nursing intervention.ResultsThe complication rate of the study group was significantly lower than that of the control group(P<0.05). After cardiac pacemaker implantation and nursing intervention, the psychological state of patients in both groups was significantly improved, and the improvement in the study group was significantly better than that in the control group (P<0.05). The scores of PF, RP, BP, GH and VT in the study group were higher than those of the control group(P<0.05).ConclusionsComfort nursing is effective in the treatment of elderly patients with permanent cardiac pacemaker, which can effectively reduce the complication rate and promote the improvement of patients' psychological state and quality of life.Key words: Elderly patients; Pacemaker; Comfortable nursing; Complication
Effect of seasonal and meteorological factors on the onset of stroke in Qinghai Plateau area

ObjectiveTo investigate the effect of seasonal and meteorological factors on the onset of stroke in Qinghai Plateau area.MethodsPatients with stroke admitted to Qinghai Provincial People's Hospital from December 1, 2011 to November 30, 2016 were enrolled retrospectively. The meteorological data provided by Qinghai Meteorological Bureau were used to analyze the distribution of the number of cases in different seasons in Qinghai area and the relationship between the incidence of stroke and plateau meteorological factors.ResultsA total of 9 412 patients with acute ischemic stroke were enrolled, aged 15~95 years. There were significant statistical differences in the number of cases of ischemic stroke, cerebral hemorrhage, and subarachnoid hemorrhage in different seasons (all P<0.05). Among them, the number of cases with ischemic stroke increased first and then gradually decreased with the changes of spring, summer, fall and winter, while cerebral hemorrhage and subarachnoid hemorrhage showed a trend of decreasing first and then increasing gradually. There were significant differences in the number of cases in different relative humidity, temperature, and temperature differences (all P<0.05).ConclusionThere are seasonal differences in the incidence of stroke in the plateau area, which may be associated with the influence of plateau meteorological factors.Key words: Stroke; High altitude; Seasons; Weather; Risk Factors
The effect of Chinese Students Participation in Leisure Activities on the Life Satisfaction and Academic Stress in University

The study examined the effect of leisure activity participation of Chinese overseas students on university life satisfaction and school adjustment stress. The subjects of this study were Chinese overseas students who lived in Chungnam, Chungbuk province. A total of 281 questionnaires were collected from June to July 2019. A total of 250 questionnaires were used in the empirical analysis of this study, excluding the questionnaires that were not retrieved from the whole questionnaires and the questionnaires of the unethical respondents. First, According to the participation in leisure activities, the results of analysis by the differences in university life satisfaction, there were some statistically significant differences in presence and frequency. Second, According to the participation(presence, frequency, time) in leisure actvities, the results of analysis by the differences in school adjustment stress, there were no statistically significant difference. Third, It has been revealed that the living satisfaction of Chinese students studying abroad does not affect the school adaptation stress.
Discuss the Problems and Opinions of University Teaching Reform

This paper explores the issue of university education on two aspects of colleges and teachers. As the colleges; its responsibility to clarify their training objectives, assessment criteria and the final training results in the construction of the overall training program. The students in this construction should develop a sense of overall awareness and train an ability of logical thinking. In terms of professional knowledge and skills, the colleges should make students combine theory with practice and apply what they have learned. In the aspect of public literacy, a curriculum evaluation platform can be set up to optimize choices. As the teachers; the teaching skills and comprehensive literacy should be improved. In the teaching activities, they always adhere to the core teaching of people-oriented and clarify the purpose of teaching. At the same time, universities and society should guarantee the teaching environment and needs of teachers.
INFORMATION SYSTEM HERBS INDONESIA BASED MOBILE APPLICATIONS

Lack of information about herbal processing plants is a major problem in most Indonesian people. In addition to being one of the easy drugs to makeup at home, herbal plants Also include cheap and safe drugs because of the lack of side effects. Make it Easier for people to know the efficacy of herbal plants. The method used to design the system consists of Context diagrams and DFD level 0. For application design using appsgeyser. The results of testing this application can display the data on herbal plants and search for the data based on herbal names and Certain diseases.
SWRL reasoning on ontology-based clinical dengue knowledge base

Dengue is a widespread mosquito-borne viral illness that may lead to death if not treated timely and properly. The aim of this study is to propose a semantic rule-based modelling and reasoning approach directed towards formalising dengue disease definition in conjunction with operational definitions (semantics) that support clinical and diagnostic reasoning. The operational definitions are incorporated using Semantic Web Rule Language (SWRL) as logical rules that enhance the expressive capability of the knowledge base. A dengue knowledge base has been designed which is extended with International Classification of Diseases (ICD) ontology for associating dengue fever with ICD code. The knowledge base created can be reasoned upon for diagnostic classification that can discover dengue symptoms and predict the possibility of patients to suffer from the disease apart from offering interoperability. 153 real patient cases are classified successfully against the operational definitions incorporated by SWRL rules.
Semantic architectures and dashboard creation processes within the data and analytics framework

The open data tools currently on the market do not exploit the semantic web, or provide tools for data analysis and visualisation. Most of them are simple open data portals that display a data catalogue, often not even fulfilling the lowest level of the famous five-star model. The Data and Analytics Framework (DAF), a project run by the Italian government, is enabled to extract knowledge from the immense amount of data owned by the State. It favours the spread of Linked Open Data thanks to the integration of the network of controlled ontologies and vocabularies (OntoPiA). The research outlined in this paper illustrates some of the platform's competitive solutions and introduces the five-step process to create a DAF dashboard, as well as the related data story. The case study created by the authors concerns tourism in Sardinia and represents one of the few demonstrations of a real case being tested in DAF.
Layout logical labelling and finding the semantic relationships between citing and cited paper content

Currently, large data sets of in-text citations and citation contexts are becoming available for research and developing tools. Using the model method to analyse these data, one can characterise thematic relationships between citation contexts from citing and the cited paper content. However, to build relevant topic models and to compare them accurately for papers linked by citation relationships we have to know the semantic labels of PDF papers' layout such as section titles, paragraph boundaries, etc. Recent achievements in papers' conversion from a PDF form into a rich attributed JSON format allow us to develop new approaches for the logical labelling of the papers' layout. This paper presents a re-usable method and open source software for the logical labelling of PDF papers, which gave good quality of a layout element's recognition for a set of research papers. Using these semantic labels we made a precise comparison of topic models built for citing and cited papers and we found some level of similarity between them.
金庸 무협소설에 나타난 江湖의 상징적 의미와 서사에 미친 영향에 관한 고찰

This study is to suggest the subject “What is Jiang hu?” and to survey the symbolic meanings Jiang hu and its effect on narratives of Jin Yong‘ Kung-fu novels, focusing on his Jiang hu. The author raised the tension of novels through Jiang hu background like confidential sites such as caves, cliffs and secluded valleys and used the narratives more actively. He depicted Jiang hu background as Wu gong training site. This can be thought as writer’s artificial set-up to raise the tension of every narratives‘s progress. If these spaces were appeared in the novel, narratives are not stopped and concluded. If readers learn these Jiang hu backgrounds, they expect new change of circumstances more naturally. Every factions of Jiang hu, the main living place, formed the conflict structure of Jiang hu which divided the good and the evil and made a binary opposition. Jin Yong gave a question about a generalized good and evil concept of Jiang hu through the conflicts of every factions. He expressed the topic sense of novels. The norms of everry factions of Jiang hu have a binding force like moral standards and rules of today. The writer expressed the order consciousness of Jiang hu world through it.
An optimal scheduling algorithm for DASH video streaming over variable bit rate networks

With the rapid increase of network bandwidth, it becomes popular for people to watch video over the internet. To cope with dynamic and heterogeneous network condition, commercial service providers use DASH streaming technology to serve contents to their users. Under the limited bandwidth constraint, previous scheduling algorithms usually arrange as many as possible highest-resolution segments in a DASH streaming service. However, scheduling the most highest-resolution segments will lead to arrange the most lowest-resolution segments in this streaming service simultaneously. In this paper, we address that improving the whole video streaming quality should start from the key concept of scheduling minimum number of low resolution segments iteratively. We define an M-Low optimisation problem and propose a novel M-Low scheduling algorithm, which adjusts the video resolution and optimises the QoE indices in a DASH streaming service. Moreover, we show through simulations that our proposed MLow scheduling achieves a higher QoE measures than those of previously published algorithms.
A (t, n) threshold quantum visual secret sharing

Secure data sharing is a deserving topic in wireless sensor networks. In order to deliver the information securely, we propose a (t, n) threshold quantum visual secret sharing (QVSS) scheme based on Naor et al.'s visual secret sharing (VSS) scheme, which consists of two phases: sharing process and recovering process. In the firs process, the colour information of each pixel from the original secret image is encoded into an n × m-qubit superposition state, and then these qubits are distributed as shares to all participants, respectively. During the recovering process, at least t participants cooperate to collect these shares of each pixel together, then perform the corresponding measurements and recovering algorithm to recover the whole secret image. The proposed scheme has the advantage of single-pixel parallel processing that is not available in the existing analogous quantum schemes. In addition, the performance evaluation of the scheme is discussed theoretically, and its experiment implementation with IBM Q is conducted to demonstrate the practical feasibility.
Document-based RDF storage method for parallel evaluation of basic graph pattern queries

In this paper, we investigate the problem of efficiently evaluating (Basic Graph Pattern) BGP SPARQL queries over a large amount of RDF data. We propose an effective data model for storing RDF data in a document database using maximum replication factor of 2 (i.e., in the worst case scenario, the data graph will be doubled in storage size). The proposed storage model is utilised for efficiently evaluating SPARQL queries, in a distributed manner. Each query is decomposed into a set of generalised star queries, which are queries that allow both subject-object and object-subject edges from a specific node, called central node. The proposed data model ensures that no joining operations over multiple data sets are required to evaluate generalised star queries. The results of the evaluation of the generalised star sub-queries of a query Q are then combined properly, in order to compute the answers of the query Q posed over the RDF data. The proposed approach has been implemented using MongoDB and Apache Spark.
Towards Breaking DNN-based Audio Steganalysis with GAN

Recently, deep neural network (DNN) has significantly boosted the performance of audio steganalysis. Accordingly, most of the traditional steganography cannot resist such DNN-based steganalysis. In...
Contact Distribution Encodes Frictional Strength

The static friction coefficient, $\mu$, is a central quantity in modeling mechanical phenomena. However, experiments show that it is highly variable, even for a single interface under carefully controlled experimental conditions. Traditionally, this inconsistency is attributed to fluctuations in the real area of contact between samples, $A_R$. In this work, we perform a variety of experimental protocols on three pairs of solid blocks while imaging the contact interface and measuring $\mu$. Using linear regression and images of the interface taken prior to tangential loading, we predict the static friction coefficient. Our model strongly outperforms two benchmarks, the Bowden and Tabor picture ($\mu \propto A_R$) and prediction using experimental variables, indicating that a large portion of the observed variance in the initialization of slip is encoded in the contact plane. We perform the same analysis using only sub-sections of the interface, and find that regions as small as $1\%$ of the interface can still can beat both benchmarks. However, bigger sub-sections of the interface, even when comprised of many small regions with bad individual predictive power, outperform the best small regions alone, suggesting that the interfacial state is not dependent on any single point, but is rather distributed across the contact ensemble.
Evaluation of Quality Attributes of Software Design Patterns Using Association Rules

For the past decades, there were many analysing methods used which in turn to analyse only the views of a single stakeholder. The analysing progression facilitates us to guarantee the quality of overall design. By doing so there were many limitations that lead to critical situations in the development process. This work proposes to collect all the stakeholders' decisions in a single structural view, which expose the centric-view decision in an architectural design. It also used to deal with the disagreement in vision by examining it, with the premium software quality characteristic. The quality attributes are evaluated by association rules to improve the excellence of the software design. Association rules are implemented using R tool to get the support, confidence, lift and count values of each attribute along with its metric. The best quality attributes are chosen after managing the stakeholders' conflicts, since all the systems are designed due to the stakeholders' concerns. The best design patterns can be evaluated along with the distinguished attributes. These patterns are evaluated by fixing the basic principles of patterns based on their excellence.
Generalized Net Model of the Process of Classification with Intuitionistic Fuzzy Evaluations

A generalized net model of the process of classification with intuitionistic fuzzy estimations is presented. Classification methods are used to group the input data in classes according to selected labels. The standard classification procedure is improved by the step of intuitionistic fuzzy evaluations calculating. The generalized net model of classification with intuitionistic fuzzy evaluations contains the possibility for indicating the necessity of a new data selection or new algorithm determining.
RESOURCE ALLOCATION WITH EFFECTIVE MULTI-ATTRIBUTE COMBINATIONAL DOUBLE AUCTION IN CLOUDUSING O-DBS

Cloud provides the different types of resources based on user requirements. Cloud users send the requirements and needed resources to the cloud service provider (CSP) and CSP allocates different le...
Optimization of Nozzle Diameter of Nebulizer for Salbutamol

In medicine, a nebuliser is an equipment used to achieve medication in the form of spray breathe into lungs. The general methodological principle of nebulisers is to use oxygen or compressed air or ultrasonic powder, as means to breakup medicinal solutions into smaller mister dews, for direct breath from the mouthpiece of the equipment. The utmost normally used nebulisers are jet nebulisers, which is also known as 'atomisers'. Jet nebulisers are associated with compressors that support compressed air to flow at maximum velocity over a liquefied medication to turn into a mister, which is then breathed in by the patient. The objective of this study is to optimise the jet nebuliser in order to deliver medicine in minor sufficient dews to attain a satisfactory effectiveness of medicated aerosol to reach the lungs. This study concentrates on design optimisation of the nozzle by analysis of flow parameters, evaluation of the path of the fluid flow and determination of the nozzle diameter and flow pressure.
An Efficient Pattern Matching Approach Using Double Measures of Correlation and Rank Reduction

This paper discusses an efficient pattern matching approach on the use of K-nearest neighbour (K-NN) based rank order reduction and Haar transform in order to detect a pattern in a large scene image. To accomplish the task, scene image is divided into a number of candidate windows and both input pattern and candidate windows are characterised by Haar transform. This characterisation seeks to determine distinctive coefficients known as Haar projection values (HPVs). To obtain more relevant and useful representation of HPVs, rectangle sum is computed and further, sum of absolute (SAD) correlation measure is applied as successive measures between the input pattern and candidate windows. This leads to increase the possibility of finding the object in the scene image before being detected and localised. The proposed pattern matching approach is tested on COIL-100 database and the matching accuracy proves the efficacy of the proposed algorithm.
Performance evaluation of 2.25 kWp rooftop Solar PV plant based on experimental measurements in the desert environment, Case study for Ghardaia, Algeria

The aim of the present study was to assess the electrical performance and the suitability of a of 2.25 kWp photovoltaic plant placed on the roof of a cars parking located at Ghardaia (Algerian desert). Performance parameters have been experimentally studied in the year 2017. The main goal is to show the change in energy production and to present the impact of weather and sky conditions based on site measurements. The experimental results show that the lowest value of the performance ratio and the maximum value in reference yield, array yield, final yield, the capture and system losses was in clear day due to high ambient temperature. The minimum value of reference yield, array yield, and final yield were in cloudy sandstorm day due to low level of daily solar irradiation and sand dust particles. The PV system performance was comparable to that of other installed systems in different countries.