Reviewerly/exHarmony huggingface dataset:
The application of pre-filled SS-Y valve fixation in patients undergoing transcatheter arterial infusion chemotherapy

ObjectiveTo improve the problems of catheter occlusion, low comfort of patients and low satisfaction of nurses, the pre-filled SS-Y valve fixation method was used for catheter nursing.MethodsTraditional method of arterial catheter nursing were performed in 54 patients with malignant tumors of digestive tract treated by transcatheter arterial infusion chemotherapy (TAI) (control group) from April 1 to December 31, 2017 in the Department of Radiation Intervention, the Affiliated Second Hospital of Medical College of Zhejiang University. Pre-filled SS-Y valve fixation method was used for arterial catheter nursing in 72 patients treated with TAI (observation group) from January 1 to September 30, 2018. The fixation, comfort and satisfaction of nurses were compared between the two groups.ResultsThe rate of arterial catheter displacement, slippage and satisfaction of nurses were 0, 0 and 97.22% (70/72) in observation group, and 13.0% (7/54), 5.6% (3/54), 77.78% (42/54) in control group. Significant statistic differences were found between two groups in rate of arterial catheter displacement and comfort scores (χ2=9.882, 11.813, P 0.05). The comfort scores of the patients in observation group at 5 time points were better than those in control group, and the difference was statistically significant (Z=-6.462--3.611, P < 0.01).ConclusionsThe method of pre-filled SS-Y valve fixation is reliable with a low displacement rate and a higher satisfaction for both patients and nurses. This method can be popularized in clinical nursing.Key words: Transcatheter arterial infusion; Y valve; Medical surgical film; Fixed; Nursing care
How to Extract Useful Randomness from Unreliable Sources.

For more than 30 years, cryptographers have been looking for public sources of uniform randomness in order to use them as a set-up to run appealing cryptographic protocols without relying on trusted third parties. Unfortunately, nowadays it is fair to assess that assuming the existence of physical phenomena producing public uniform randomness is far from reality.
5G시대 국가사이버안보의 체계적 관리 방안

South Korea succeeded in commercializing 5G technology for the first time in the world. While some have raised criticism that it was too hasty with incomplete technology, it is clear that the term economic war was an inevitable choice in the everyday international order. 5G technology is not something that we have achieved on our own. There is a mixture of technologies and products from many countries in it. This has the risk of exposing security weaknesses. For us, who have already received cyber-attacks from North Korea several times, the 5G can ironically come as a new threat. The fact that the U.S. has taken steps close to eviction by pointing out a particular Chinese company has served as a new reminder of this danger. Recently, the government announced a cyber security strategy at the National Security Office at Cheong Wa Dae in April as a countermeasure to these cyber-security issues, the first attempt by any previous administration as a guideline for cyber security at the presidential office. Given the fact that it is inevitable to rely on companies in other countries for technologies or products required for 5G technology, certain international cooperation is necessary to properly manage and control them. It is also necessary to improve national competitiveness and foster future industries by leading 5G standardization. On the contrary, however, they should be careful not to expose weaknesses in the 5G technology through international cooperation. Ultimately, in order to safely manage the 5G society, which will be created through super-connectedness, and to develop related industries, entities that manage national cyber security should be prepared and legislated. To this end, systematic management measures should be prepared. AI technologies and self-driving technologies, which have already begun to come close to our lives, are highly likely to cause damage that is completely different from cyber terrorism that we experienced in the past. There is a need to approach it from a more security perspective to prevent and prepare for it in advance. It is difficult to take proper action by gathering related agencies to find out the damage and come up with solutions. It is time to readjust the organizational system and enact laws that support the commercialization of 5G by identifying possible security problems and responding to them immediately on the spot.
한국어(KSL) 학습자를 위한 대화적 공손의 내용 연구

The purpose of this study is to present the contents of ‘Korean politeness’, which can be used to learn ‘Korean as a Second Language’, from the perspective of ‘conversational performance’. To this end, first, the concept of Korean politeness was examined in two elements: ‘sociocultural norm consciousness’ and ‘conversational strategy of individual speech act’. A conversational performance model of Korean politeness was also investigated as a educational unit of politeness contents. This performance model is composed of ‘adjacency pair’ and based of ‘common ground’ including honorific and speech act requirements. In order to construct educational politeness contents for KSL learner, conversational scenes of the revised KSL textbook, Standard Korean for Elementary Schoolchild were then analysed. In conclusion, politeness contents of KSL textbook were revealed in three aspects: ‘practice of using honorific style’, ‘politeness routines’, ‘politeness expressions and strategies’. Based on the results of the analysis, the direction of politeness education for KSL learners in elementary school was finally proposed in both ‘speech act’ and ‘conversation type’ pragmatic education.
Characterization of unmanned aerial systems (UAS) geometry using feeds from fixed video cameras

With the widespread use of multirotor UAS/drones in the civilian and commercial sector, the skies are going to get crowded. Under this scenario, it is not inconceivable to anticipate potential issues with enforcing flight rules and regulations on these drones. This might come about as a result of some failures on the drones themselves (loss of communication, sensor or actuator failures) or in some cases, deliberatively uncooperative drones. Therefore, in order to implement effective Counter UAS (C-UAS) measures, it is important to fully characterize the uncooperative drone, particularly its capabilities; the first step in this process is the identification of the geometry of the drone. In this paper, we present the preliminary results of an effort to characterize the geometry of a drone, using feeds from fixed video cameras. Preliminary results indicate that it is feasible to identify the general geometry of the drone – such as if it is a quadcopter or otherwise.
The Effects of Nigerian Pidgin English on the Academic Performance of Students in Standard English: A Study of Selected Junior Secondary Schools in Warri South Local Government Area of Delta State

The purpose of the study was to examine the effects of Nigerian Pidgin English on the academic performance of students in Standard English in selected junior secondary schools in Warri South Local Government Area of Delta State. A twenty item questionnaire was administered to one hundred (100) students from four secondary schools in Warri South Local Government Area. Three research questions were proposed to guide the study and analysed results proved that the orthography of pidgin affects students’ performance in Standard English. That there is a significant effect of pidgin English on standard English,  and finally a solution abound to the negative effect of pidgin English on standard English. Thus, the researchers suggested recommendation, for improvement in the teaching and learning of Standard English in educational and school system. Cardinal among the recommendations is the suggestion that students should be constantly expose to situations that will require their use of standard English thereby gaining mastery of it.
Towards a Corsican Basic Language Resource Kit

The current situation regarding the existence of natural language processing (NLP) resources and tools for Corsican reveals their virtual non-existence. Our inventory contains only a few rare digital resources, lexical or corpus databases, requiring adaptation work. Our objective is to use the Banque de Donnees Langue Corse project (BDLC) to improve the availability of resources and tools for the Corsican language and, in the long term, provide a complete Basic Language Ressource Kit (BLARK). We have defined a roadmap setting out the actions to be undertaken: the collection of corpora and the setting up of a consultation interface (concordancer), and of a language detection tool, an electronic dictionary and a part-of-speech tagger. The first achievements regarding these topics have already been reached and are presented in this article. Some elements are also available on our project page (http://bdlc.univ-corse.fr/tal/).
Information steps of development of cognition. Article three. Represents consciousness

On the basis of the provisions of information theory and of the definition of representation as the migrated inward perception analyses mechanisms, steps and signs of the coming into being in the human community of represents thinking and consciousness, the properties of representation, the peculiarities of represent judgments and logical conclusions. Examines the worldview of primitive man. Discusses the relevant representations to reality.
Doogee S90 Review – A Tough, Rugged, Modular Phone

The Doogee S90 is a modular smartphone, weve seen a few of these in the past but I guess it didnt catch on. In this Doogee S90 review, I will tell you ...
Accelerating projections to kernel-induced spaces by feature approximation

A method for speeding-up data projections onto kernel-induced feature spaces (derived using e.g. kernel Principal Component Analysis - kPCA) is presented in the paper. The proposed idea is to simplify the derived features, implicitly defined by all training samples and dominant eigenvectors of problem-specific generalized eigenproblems, by appropriate approximations. Instead of employing the whole training set, we propose to use a small pool of its appropriately selected representatives and we formulate a rule for deriving the corresponding weight vectors that replace the considered dominant eigenvectors. The representatives are determined via clustering of training data, whereas weighting coefficients are chosen to minimize original feature approximation errors. The concept has been experimentally verified for kernel-PCA using both artificial and real datasets. It has been shown that the presented approach provides reduction in feature-extraction complexity, which implies a proportional increase in data projection speed, by one-to-two orders of magnitude, without sacrificing data analysis accuracy. Therefore, the proposed approach is well-suited for kernel-based, intelligent data analysis applications that are to be executed on resource-limited systems, such as embedded or IoT devices, or for systems where processing time is critical.
Application of comfort nursing intervention in the nursing of senile chronic heart failure and its impact on the satisfaction of patients' nursing

ObjectiveTo explore the application of comfort nursing intervention in nursing care of elderly patients with chronic heart failure and its impact on patients' satisfaction with nursing.MethodsA total of 108 patients with chronic heart failure admitted to this hospital from May 2017 to May 2018 were selected as the research objects.The patients were divided into comfort group and routine group according to the odd and even number of the end of hospitalization, 54 patients in each group.Conventional nursing mode was applied in the conventional group and comfortable nursing mode was applied in the comfortable group.After nursing intervention, the self-care ability and nursing satisfaction of the two groups were compared.ResultsThe total score of self-care ability evaluation in the comfort group was significantly higher than that in the conventional group(P<0.05), and the scores of self-care skill, self-care consciousness, self-care concept and health knowledge were all higher than that in the conventional group(P<0.05). The nursing satisfaction of patients in the comfort group was significantly higher than that in the conventional group(P<0.05).ConclusionsThe application effect of comfort nursing intervention in the nursing of elderly patients with chronic heart failure is satisfactory, which can effectively improve patients' self-care ability, increase patients' trust in nursing staffs, and improve nursing satisfaction.Key words: Comfort nursing; Elderly patients; Chronic heart failure; Nursing satisfaction
How To Unlock A Phone Android And iPhone

This is a guide on how to unlock a phone. The main reason why people unlock their phones is because it gives them the freedom to choose whatever cell ...
Task Deployment Recommendation with Worker Availability

We study recommendation of deployment strategies to task requesters that are consistent with their deployment parameters: a lower-bound on the quality of the crowd contribution, an upper-bound on the latency of task completion, and an upper-bound on the cost incurred by paying workers. We propose BatchStrat, an optimization-driven middle layer that recommends deployment strategies to a batch of requests by accounting for worker availability. We develop computationally efficient algorithms to recommend deployments that maximize task throughput and pay-off, and empirically validate its quality and scalability.
LibGuides: Remote Resources for College Students: Test Prep and Career Resources

Conducting research remotely? The New York Public Library has you covered. This guide includes resources to support your research 24/7 no matter where you are.
RASOP: An API Recommendation Method Based on Word Embedding Technology

Users’ demand for the function of the software is increasingly affluent, and the scale of software is getting larger and larger. The structure of software presents the characteristics of complexity. In the process of software development, developers are likely to face a lot of difficulties, so they need to query the appropriate APIs. However, finding the right APIs can be time-consuming and laborious. It’s especially difficult for developers who don’t have much programming experience. In this paper, to solve the problems developers may face in the actual development process and improve the development efficiency, we propose RASOP (Recommendation APIs by Stack Overflow posts and Java Packages), an API recommendation approach leveraging word embedding technique and the information crawling from Stack Overflow posts and Java core packages, to recommend appropriate APIs for developers. Furthermore, RASOP also provides developers with label words, similar questions and relevant code. To evaluate the effectiveness of RASOP, we decided to analyze our system by simulating an instance. By testing a problem encountered during development, the API and tags and other recommendations from the RASOP output can indeed solve our problem. RASOP shows great results not only in the effect of API recommendation but also in the content of practicability.
Current state and future prospect of autoimmunity laboratory diagnosis

Laboratory testing is of great value in the management of autoimmune disease. The results can help confirm a diagnosis, estimate disease severity, aid in assessing treatment effect. But the current autoimmunity laboratory system, including testing standards, quality control and supervision, does not match the national conditions well. As a result, the test reports are not mutual-recognized among laboratories. In the current background of precision medicine, with the advances of technology and the application of deep learning and artificial intelligence in the clinical laboratory field, the autoimmune laboratory has ushered in a new development trend of integration, automation and intelligence.Key words: Autoimmune diseases; Clinical laboratory techniques; Automation, laboratory; Artificial intelligence
Application of internet-based cloud platform for inpatient health education

ObjectiveTo explore the application effect of internet-based cloud platform for inpatient health education.MethodsPushed the information and set up sharing, that is, according to the characteristics of hospitals and departments, propose specific nursing units, regularly push propaganda and education information, and require the sharing rate to be more than 80%.Regularly shared the feedback information and conclusions, and analyzed the application effect of the internet-based inpatient health education cloud platform based on the questionnaire of patient satisfaction, the reading amount of propaganda content and the opinions of patients visited.Guided nurses to work, checked and modified the work quality content, and dynamically observed whether the improvement measures of nursing quality were effective.Finally, on the basis of statistical analysis, questionnaire, analysis, induction, data report forms for data entry and analysis the background and the statistical analysis of the degree of patients accepted health education, on the basis of the third party satisfaction questionnaire, summarized the background analysis of the data, and then explored hospitalized patients health education based on Internet application research of cloud platform.ResultsAfter receiving the internet-based cloud platform for inpatients' health education and publicity, the patients' satisfaction with health care (62.00%) was significantly higher than that of the internet-based cloud platform for inpatients' health education and publicity (41.00%), and the difference was statistically significant(P<0.05). 28% of the patients were happy to receive health education, 27% of the patients preferred health education, 80% of patients want health care workers to be health education workers.ConclusionThrough online education mode based on Internet, not only can make the whole process of hospitalized patients with real-time health education service, also can make the medical staff did missionary activity completely closed loop management, make the patients during hospitalization and after hospitalization health education work really be implemented, and achieved good results, has good social benefits and is worth popularization and application.Key words: Health education system structure; Internet; Health education cloud platform
Teaching reform and students' satisfaction survey of "organ-centered" integrated curriculum for circulatory system

ObjectiveTo investigate students' satisfaction degree on organ-centered integrated teaching model for Circulatory Disease, and reveal potential problems and propose improvement methods.MethodsAll grade 2016 students from the second department of clinical medicine and pediatrics major were selected as study objects and students' satisfaction degree on organ-centered integrated curriculum for circulatory system were investigated. Self-designed questionnaires were adopted; eighteen questions related to the satisfaction degree were designed; questionnaires were distributed and collected by WJX software. Multivariate Logistic regression analysis and word frequency analysis of the results were performed using R software.ResultThe results of the questionnaire showed that students were not satisfied with the integrated teaching model. Word frequency analysis showed that students' problems mainly were limited class hours but too many learning content, fast teaching speed and insufficient curriculum integration. Multivariate Logistic regression analysis further showed that students' satisfaction degree was related to their mastery of knowledge and post-class review (P<0.05).ConclusionOur teaching and research section should fully summarize the teaching experience and shortcomings in the organ-centered integrated curriculum for Circulatory System Disease, and try our best to make the in-class teaching clearer, integrate the basic and clinical knowledge, encourage students to review lessons in time and cultivate their ability of independent learning, so as to ultimately improve students' satisfaction for teaching and teachers' teaching quality.Key words: Circulatory system; Integrated curriculum; Teaching reform; Questionnaire
Value of fetal middle cerebral artery blood flow combined with color Doppler ultrasound umbilical cord blood flow in diagnosing fetal distress

ObjectiveTo observe the value of fetal middle cerebral artery (MCA) blood flow quantification combined with color Doppler ultrasound (CDFI) umbilical cord blood flow monitoring in diagnosing fetal distress.MethodsTwo hundred pregnant women who delivered in the People’s Hospital of Xiaoyi from February 2016 to February 2017 were selected as the study subjects. The pregnant women with fetal distress were selected as the observation group (n=100) with the other normal pregnant women as the control group (n=100). CDFI was performed in both groups. The maximum end-systolic blood flow velocity of umbilical artery (UA) and MCA, end-diastolic velocity ratio (S/D), resistance index (RI) and pulsatility index (PI) were compared between the two groups. The clinical value of ultrasound UA and MCA in the diagnosis of fetal distress was analyzed.ResultsThe PI, RI and S/D detected by UA monitering of the observation group were significantly higher than those of the control group (P<0.05); the PI, RI and S/D detected by MCA monitering of the observation group were significantly lower than those of the control group (P<0.05); the sensitivity of S/D, PI and RI of UA was 97.56%, 93.78% and 94.85%, and specificity was 60.46%, 52.36% and 61.50%. The sensitivity of S/D, Pl and RI of MCA was 60.46%, 52.36% and 61.50%, and the specificity was 70.51%, 67.53% and 64.63%.ConclusionsFetal MCA combined with CDFI umbilical blood flow monitoring is helpful for screening fetal distress, and it provides a reliable basis for clinical effective intervention, which is worthy of further promotion.Key words: Fetal distress; Middle cerebral artery blood flow quantification; Umbilical blood flow; Color Doppler ultrasonography
LibGuides: Remote Resources for College Students: Primary Sources

Conducting research remotely? The New York Public Library has you covered. This guide includes resources to support your research 24/7 no matter where you are.
Effect of Ensembling on ANLI Benchmark

Tremendous achievement of reaching fairly high success metric values with several NLI datasets caused eyebrows to raise questioning the real value of these metric numbers. Research papers started to appear with a comprehensive analysis of what these models really learn and the relative difficulty of forcing these models to fail with small syntactic and semantic changes in the input. In particular, ANLI benchmark is an example of a more challenging NLI task with the intent of measuring the comprehension capabilities of models to a deeper context. Relative success of transformer-based models on ANLI benchmarks were already reported by Nie et al., 2019. Given the challenging nature of iterative dataset formation, individual models are having more difficulty of extracting the underlying relationship between the context and hypothesis pair, and the target. Ensembles of these individual models might have a higher potential to achieve better performance numbers when the individual performances are that far from the equivalent ones in SNLI and MNLI tasks. On top of that, making controlled variations of the inputs and tracking the changes in the behavior of those models will give indications about the strength and robustness regarding the learning process.