Reviewerly/exHarmony huggingface dataset:
ENHANCING THE WEB USER PROFILES QUALITY BY NOISE WEB DATA LEARNING (NWDL) AND SUFFIX TREE CLUSTERING (STC)

The data mining methods tell that not all the useful information present on the web is with noiseand user‟s interest. The crucial problem is the level of noise that has been occurred in the useful data is turnedout to be the hindrance for placing the same with dynamic interests. The proposed Noise Web Data Learning(NWDL) and Suffix Tree Clustering (STC) work take any form of useful information as noisy data but this isapart from the main web page and suggests in eliminating the noise records which specially focuses on castingoff the noise on the subject of the content material and layout of web statistics. Because the noisy data not onlyminimize the level, but it also degrades the performance of useful facts that are assigned to the clients based onuser requests. The current research aims to enhance the greatness of the user profile. The method called NoiseWeb Data Learning (NWDL) tool/algorithm is proposed to attain the information regarding the noisy data.Search engines like Google is an important medium for users to obtain useful data. The request is processed inthe lengthy form which is said to be snippets. Hence the processed information can be organized by a fileclustering concept. The proposed method can be installed on the search engines. The research methodologyoffers the need for a file clustering technique and the first approach is evaluated based on this domain. The mostimportant thing is the clusters are created depending on the snippet's size which is quickly returned by the searchengine. Since the clusters are created based on the snippets, the entire information becomes useful by creating it.Hence these requirements and conditions can be executed in a linear as well as incremental time is known asSuffix Tree Clustering (STC). The clusters are generated for the shared set of documents.
DAVID BEDFORD (1937–2011)Come in Here, Child (1968)

This chapter considers a highly distinctive and memorable work from David Bedford—<italic>Come in Here, Child</italic>. Coming from a musical family, Bedford displays an especially refined ear for vocal timbres. His simple and characteristic example of 1960s contemporary music has a natural, unaffected beauty of its own, and can fascinate and delight even the most straight-laced audience. The chapter shows that, while the score may appear dauntingly ‘avant-garde’ at first, it is actually quite straightforward to perform. Lines flow easily and note patterns are constantly repeated, giving ample chance for attaining pitch orientation. Space-time notation, innovative at the time the piece was written, gives flexibility of rhythm and an agreeable sense of freedom to the performer.
텐서플로우 튜토리얼 방식의 머신러닝 신규 모델 개발 : 캐글 타이타닉 데이터 셋을 중심으로

The purpose of this study is to develop a model that can systematically study the whole learning process of machine learning. Since the existing model describes the learning process with minimum coding, it can learn the progress of machine learning sequentially through the new model, and can visuali...
PENGGUNAAN KATA (DIKSI) DALAM NASKAH PIDATO KEAGAMAAN SANTRI PONDOK PESANTREN MAMBAUS SHOLIHIN 2 BLITAR

Language is a means of communication between community members in the form of sound symbols produced by human speech tools. Speech is a form of spoken language activity. Therefore, giving a speech requires and emphasizes the expression of ideas and reasoning using spoken language which is supported by non-language aspects, such as facial expressions, eye contact, and voice intonation. In connection with this definition, there are four functions of the Indonesian language, namely (1) to express self-expression, (2) as a means of communication, (3) as a tool for social integration and adaptation, and (4) as a tool for exercising social control. . Matters that need to be nurtured and developed in the guidance and development of the Indonesian language include pronunciation, spelling, writing, vocabulary / terms, and grammar. These four things are the most important material in language coaching and development, so that language users are able to use good and correct language.&#x0D; Keywords: Skill, Writing, Speech
The Relationship of Goal-Setting in the Teaching of Mathematics with its Technological Support

Technological support of teaching mathematics depends on what methodological and pedagogical goals are put for learning. Achieving or failing to achieve these goals is connected with the used type of feedback or in other words, the method of assessing the educational activities of students. In this work, two types of assessment are contrasted: a test form of knowledge testing (implemented by a system of mid-term and final exams) and a formative assessment (determined by the teacher’s informal reaction to the student’s productive activities and the way these activities are organized). It is shown that the first type of assessment corresponds to the consideration of the curriculum as a learning goal, the second — as a learning tool. In the first case, the purpose of training is the acquisition of specific knowledge and skills, and in the second, the mastery of the general mechanisms of educational activity inherent in a given subject area (mathematics). For the first goal, it is effective to use template tasks including generated exercises and simulators, for the second — to use various tools that support constructive and research activities. The article shows how “non-invasive monitoring” is used to achieve the second goal, when the teacher and the student are not on opposite sides of the academic barrier (the student answers — the teacher sets a mark), but on the same side and jointly perform actions to create conditions for the most effective mastery of the course material by each student. The basis of non-invasive monitoring is modeling the presentation of the results of this activities to the scientific community, including all intermediate stages of such activities. Instead of testing knowledge and issuing formal marks, feedback is used, various approaches and ways to solve the problem are discussed together, and monitoring is limited to students’ self-esteem, which is not necessarily communicated to the teacher. At the same time, the discussion process itself is open, and the teacher can always evaluate the problems of students, without turning them into an instrument of formal pressure on the student by third parties.
Choice Of Educational Route By 9th Grade Graduates Of Russian Schools

The article is concerned with the popular educational routes, as well as the motives for choosing an educational trajectory for 9th grade graduates. Personal and family reasons for leaving of ninth-graders from school to college were identified. In a sociological study, a questionnaire survey was conducted among students of the 9th grade of secondary schools in St. Petersburg. Students' responses were analyzed with the support of specialized national and foreign computer programs. As a result of the processing of sociological information, a list of arguments was obtained in favor of changing or maintaining the school educational route. Six educational tracks of 9th grade graduates have been identified. The most popular educational solutions are continuing to study in grades 10-11 and leaving for college after graduating from grade 9. The leading motives of ninth-graders for choosing an educational route are the desire to prepare for the successful passing of the Unified State Exam, getting a profession at the college on a budgetary basis, refusing to take final exams in the grade 11, family plans and recommendations, drive for material security and a quick start to a career, improving quality of school educational capital. The results obtained indicate the need to increase the variety of educational routes for students, to support online schools and a home teaching system for high school students.
IEEE S&amp;B 2020: 4th IEEE Workshop on Security and Privacy on the Blockchain

This volume includes the proceedings of the fourth IEEE Security and Privacy on the Blockchain Workshop (S&B 2020), which is affiliated with the IEEE European Symposium on Security and Privacy (EuroS&P 2020).
IMPACT OF INTEGRATION OF MULTIMEDIA IN TEACHING SCIENCE

Abstract. This research aimed to determine on how multimedia technologies can be of great help on students’ achievement, and what learning exercises can be proposed for the enhancement of learning. This research was conducted at Nangka National High School of Nangka, Balamban, Cebu, Philippines. The experimental method was employed to gather data. The result of the pre- test showed no significant differences, which in turn proves the equivalence of the two groups. Meanwhile, the result of the post test showed that there were significant differences between the experimental group and the control group at a significance level of 0.05. The students in Chemistry showed a positive attitude towards the subject and towards the integration/ use of multimedia technology. It is highly recommended that the administration and the faculty should work hand in hand in maintaining the environment conducive for learning by providing multimedia technologies inside the classrooms so that learnings will be smoothly delivered with authenticity.
Deskewing Method for Unconstrained Handwritten Kannada Language Leading to Text line Segmentation and its Skew Estimation

Segmenting text-lines for handwritten Kannada document plays an important role in HumanCharacter Recognition System. Segmentation is the method for extracting text lines, words and characters.Segmentation accuracy depends on segmentation phase, incorrect segmentation leads to false recognition.Handwritten document image is taken as dataset for this approach. In the proposed system, textsegmentation analysis is done for handwritten document in which extracting text lines, words and charactersare done and skew correction is done based on Enhanced Skew Detection and Correction for Words(ESDCW) algorithm for estimating and correcting skew lines. The algorithm considers the height andwidth of the entire handwritten word. Apparently, there must be a minimum value for the height of any wordand maximum value for the width of any word in case of no skew. Once skew is corrected with approximateskew angle repetition of the same process, only busy zone is considered for performing precise skewcorrection. The preprocessing is done using the following methods: (i) filtering (ii) gray scale conversionand (iii) Binarization. The proposed system recommends preprocessing, dilation and labeling of associatedcomponents of input image, deskewing of words associated with a text line and inserting words to the newimage. Thereafter there is extraction of words that are identified which are then stored in a new image Theunwanted information is carefully removed during extraction of words using the bounding box technique atthe same time avoiding overlapping of words while storing in a new image file. Test was carried out on fullyunconstrained handwritten Kannada documents which yielded an average segmentation rate of 96.38%.
The geoeconomics of cryptocurrencies

This chapter investigates how corruption and market effectiveness impacted bitcoin trading from 2010 to 2018 in different geoeconomic, i.e., institutional, settings. The bitcoin trading market is characterized not only by strong variation in trading volume across countries but also by stark differences in degrees of regulation. These contrasting institutional environments have different effects on the growth and development paths of bitcoins and on cryptocurrencies. In contrast to fiat money, the value of bitcoins is not connected to a government or state but is derived only from a critical mass of users that accept bitcoins in exchange for commodities or services. In such a regulation-free market with a largely anonymous trading mechanism, corruption may be an issue since such situations are attractive to those laundering money from drugs and other illegal sources. Changing economic and regulatory conditions have impacted the attractiveness of bitcoin trading in various countries.
Development of Advanced Preselection Tools to Reduce Unnecessary Plan Comparisons in Model-based Selection of Head and Neck Cancer Patients for Proton Therapy

In the Netherlands, head and neck cancer (HNC) patients are selected for proton therapy (PT) based on the expected difference in toxicity rates (ΔNTCP) between photons and protons, which requires a plan comparison (VMAT vs. IMPT). Since creating IMPT plans is labor-intensive, we aim to avoid IMPT planning in patients unlikely to be selected for PT. The purpose of this study was to develop advanced preselection tools to prevent unnecessary plan comparisons by predicting the potential ΔNTCP gain of IMPT. The Dutch National Indication Protocol for HNC contains guidelines for patient selection for PT based on 4 NTCP-models: physician-rated dysphagia (grade ≥2 and grade ≥3) and patient-reported xerostomia (grade ≥2 and grade ≥3). The Dmean of 8 OARs (oral cavity, 3 swallowing muscles, and 4 salivary glands), baseline complaints and tumor location are included in these models as predictors. We performed a retrospective analysis of the first 141 patients included in model-based selection procedure in which both VMAT and IMPT plans were available. The IMPT plans were retrospectively classified as ‘unnecessary’ if the patient did not qualify for PT. To prevent unnecessary IMPT plans, 5 different methods were developed to predict the lower bound of IMPT Dmean of the 8 OARs (Table). Lower bound prediction models were obtained from standard linear regression models by reducing the regression coefficient until all predicted values were smaller than actual values. Using these predictions, the lower bound of NTCP values for IMPT plans were calculated and compared to those of VMAT plan to calculate the upper bound of ΔNTCP. Patients, who had a predicted ΔNTCP upper bound that was lower than the ΔNTCP thresholds in the protocol, could have been excluded from IMPT planning. Of the 141 patients, 65 (46%) qualified for PT according to national guidelines. In the remaining 76 (54%) patients, IMPT plan was not used for treatment and potentially could have been avoided. Using methods 1 to 5, respectively, 12%, 71%, 36%, 67% and 74% of the 76 unnecessary IMPT plans could be prevented. This translated into a PPV of 49%, 75%, 57%, 72% and 76% for method 1 to 5, respectively; and an NPV of 100% for all methods. The advanced preselection tools, which use volume and VMAT dose data, prevented the labor-intensive creation of IMPT plans in up to 74% of patients non-qualifying for PT. No patients qualifying for PT were incorrectly denied a plan comparison. This method contributes significantly to a more cost-effective model-based selection of HNC patients for PT.Abstract 179; TableMethods used for preselection toolsPredicted IMPT DmeanMethodin OAR_inPTVin OAR_outPTVin whole OAR1Assumed as equal with VMAT doseAssumed as completely spared (0 Gy)-2Assumed as equal with VMAT dosePredicted by VMAT dose-3--Predicted by VMAT dose4--Predicted by % of OAR_outPTV volume5Combination of method 2 and 4OAR_inPTV is the OAR part overlapping with PTV54.25 + 5mm; OAR_outPTV is the remaining part of the OAR. Open table in a new tab
LibGuides: Free Cataloging Resources: Home

A collection of free cataloging resources for New Mexico libraries, librarians and library staff
Follow-Up on the Abnormal Laboratory Test Results with Automatic Interpretation.

Failing to follow up on the abnormal test results can cause serious health problems to patients. We conducted a retrospective medical record review of 3200 randomly selected patients aged 18 to 76 in 14 state clinics and two private laboratory services querying the common regional patient registry. One patient could be included (1 clinical case) in the study only once. We invited patients to take part in the interviews to gain a deeper understanding of the motives to follow up or not after receiving a recommendation and explanation of the role of the automatically generated interpretation in this decision. A qualitative study of the patients' motivation was performed with a group of 689 patients. All the patients who received their interpretations showed a much higher follow-up rate (68% average) than the patients who did not receive interpretations (49 % average). The results of our research demonstrated that there is a significant impact on the patients' decision to follow up on the tests. Patients consider time factor as an important advantage of the computer interpretations and are willing to get automatic interpretations if they can receive it faster than the ones from their doctor (question 4: median =3 out of 7). Discussing the reasons behind the decision to follow up, the patients do trust the computerized clinical decision support systems (question 5: median = 5 out of 7), however, they prefer to receive interpretations and recommendations from doctors (question 3: median = 7).
PENGUATAN KEMAMPUAN SKILLS BERBAHASA INGGRIS GUNA MENUNJANG SKOR TOEIC BAGI MAHASISWA NON BAHASA INGGRIS

As a longlife learner, students are the agent of the world that will bring for novelty in science. To become an agent of chance, students need to learn and understand about the essential of English as a bridge of language in trading, schooling, and in doing something in every single day. Hence, this activity is needed to help people who need to enhance their knowledge about Test of Online English for Communication (TOEIC) in order to create a schemata about this. Meanwhile, this event was conducted in March, 18 2020 in associated with English First Chapter Semarang. STIE Totalwin and English First Chapter Semarang were using a scientific approach as method in this event. Both of institutions above gave for excellent ways to break the border of students’ fear feeling in facing English as foreign language. In this event, the participants came from STIE Totalwin, Universitas Dian Nuswantoro, Politeknik Negeri Semarang, and also the Lectures of STIE Totalwin. The participants were great and took for chance in every session of the event. However, enhancing and empowering English as a tool of communication were the goals of this event. In conclusion, all of audiences have their own solution based on motivation and shortcut tips and tricks that given by the speakers, Jati Widya Iswara, and Muhammad Mirza
ALTERNATIVE DELIVERY MODE (ADM) PROGRAM DELIVERY AND PERFORMANCE OF STUDENTS

Alternative Delivery Mode (ADM) of instruction had become an option of schools, parents, and learners to access education. Despite its implementation for several years, research on its delivery and students’ academic performance was not endeavored. Hence, this study was conducted to determine the relationship of Alternative Delivery Mode (ADM) program and performance of the students. The respondents of the study were 30 students from nine elementary schools in the Division of Digos, Davao del Sur. Results showed that most of the respondents enrolled in the Alternative Delivery Mode (ADM) were male, at age 11, and were laborers. Most of them were low performers. The respondents rated the Alternative Delivery Mode (ADM) implementation as moderate. It further revealed that there was no significant difference in the level of implementation of Alternative Delivery Mode in terms of gender and age but it showed significant relationship between the level of implementation of the program and the performance of the students. Intensification of Alternative Delivery Mode (ADM) was recommended.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0720/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Analysis of Competency Demands of Teachers in Workplace Daycare Centers

이 연구는 직장어린이집 교사가 최고수준의 성과를 나타내기 위해 필요한 직무역량에는 어떤 것이 있는 지를 규명하고 이러한 역량들이 직장어린이집 교사의 연령과 학력 경력에 따라 어떤 차이가 있는 지를 규명하고자 하였다. 이와 같은 연구목적을 달성하기 위해 이 연구는 기존에 개발된 직장어린이집 교사의 역량모델의 역량지표를 사용하여 설문조사를 실시하였다. 이를 바탕으로 직장어린이집의 역할과 직무에 따른 역량 요구도를 도출하고 요구분석을 실시하여 우선순위를 파악하였다. 역량 요구도는 중요도와 보유도간의 차이를 검증하는 Borich의 요구도 공식을 사용하였으며, 연령과 학력, 경력별 차이를 알아보기 위해 (SPSS/ PC(win 22.0) 프로그램을 사용하여 빈도와 백분율, 그리고 변인별 특성에 따른 인식의 차이를 일원변량분석을 통하여 산출하였다. 유의성이 조사된 경우에는 Scheff&#233;의 사후검정을 실시하였다. 직장어린이집 교사의 역량에 대한 요구분석의 결과 우선 순위의 역량에 대하여 연령과 경력, 학력에 따른 인식의 차이를 확인할 수 있었다. 따라서 이 연구의 결과를 바탕으로 실천적, 이론적 함의를 제안하였다.The purpose of this study was to find out what job competencies are needed for teachers at work daycare centers to achieve the highest level of performance, and to find out how these competencies differ according to the age and educational background of daycare center teachers. In order to achieve this research purpose, this study conducted a survey using the competency indicators of the competency model of the existing nursery school teachers. Based on this, the competency demand map according to the role and job role of the workplace daycare center was derived and the priority was identified by conducting demand analysis. For the competency requirements, Borichi s needs formula was used to verify the difference between importance and retention, and frequency, percentage, and variables were used using the (SPSS/PC(win 22.0) program) to identify differences by age, education, and career. Differences in perception according to each characteristic were calculated through one-way variance analysis. When significance was investigated, Scheff&#233; s post-test was conducted. It was possible to confirm the difference in recognition according to educational background, and based on the results of this study, practical and theoretical implications were proposed.
“The resource-based paradigm – a special emphasis on work- force capital as a competitive strategy in businesses”

It is a known fact that organizational strategies have created a competitive advantage of organizations. However, this competitiveness can be achieved only with the proper deployment of human, physical, and organizational resources. A study on the resource-based paradigm, specifically on human assets, explores the significance of human involvement and human investment perspective in enterprises. In view of that, a mixed approach, with a quantitative and qualitative survey was conducted in randomly selected manufacture industries in the UAE. The statistical analysis, with the help of SPSS 20 confirms the correlation between this model with its latent variables, talent management and change management, towards a strategic move. Moreover, the results prove that this RBV can enhance the mobility of various resources in the organization, maintain a culture, uphold gain-sharing, and boost network opportunities for the organizational and individual competencies.
Cross-lingual Training for Multiple-Choice Question Answering

In this work we explore to what extent multilingual models can be trained for one language and applied to a different one for the task of Multiple Choice Question Answering. We employ the RACE dataset to fine-tune both a monolingual and a multilingual models and apply these models to another different collections in different languages. The results show that both monolingual and multilingual models can be zero-shot transferred to a different dataset in the same language maintaining its performance. Besides, the multilingual model still performs good when it is applied to a different target language. Additionally, we find that exams that are more difficult to humans are harder for machines too. Finally, we advance the state-of-the-art for the QA4MRE Entrance Exams dataset in several languages.