Reviewerly/exHarmony huggingface dataset:
PROSEDUR PEMERIKSAAN CT SCAN THORAX BIOPSY PADA KASUS TUMOR PARU DI INSTALASI RADIOLOGI RSMC TELOGOREJO SEMARANG

Examination of CT Scan Thorax Biopsy on pulmonary tumor cases in Radiology RSMC Installation Telogorejo Semarang in the examination of CT Scan thorax biopsy, no further pemeriksanan in the form of a photo shoot in the examination of the thorax CT Scan thorax biopsy on a tumor cases Lung. According to (Trumm and Hoffmann,2009), where, after examination of CT Scan of patient biopsy performed an examination of the thorax biopsy post photo shoot conventional 2 to 4 hours post procedure to control the possibility of pneumothorax and hemothorax, The purpose of this research to the examination procedure mngetahui done, knowing the technique, specify titikan biopsy needle puncture and reasons on the CT Scan Thorax biopsy examination after you have finished taking biopsy was not done with the handling an advanced form of shooting the thorax.The type of research conducted qualitative research approach is a case study. The subject of this research is the examination of CT Scan Thorax Biopsy on pulmonary tumor cases, two radiografer, a specialist in radiology, a pulmonary specialist in RSMC Telogorejo Semarang. Data capture methods used observation, interviews, and study the documentation then transcribed processed by reduction, performed data categorization, and created an open coding to simplify quotes so it can be drawn the conclusion.The results showed that the procedure of examination of CT Scan thorax biopsy on pulmonary tumor cases patient supine, prone position depending on the location of the tumor nearest to the chest wall, do a complete thoracic scanogram upper limit lower limit lung apex diagfragma, scaning area only on the location of the tumor, and a biopsy in action as a mark by the marker wire metal on the surface of the body of the patient, scaaning is done to find out if the point of the skewer with a marker that's already installed is just right, after It brings the point of the skewer, doctor special lung do a local anesthetic with lidocaine continued stabbing needles biopsy, scaanning reset is performed to determine whether acupuncture is just right on the tumor's position on the disposal, if it right lung specialist doctor took a sample with a sample, the spuit aspirations made undelete the object glass to do analysis laboraturium. This inspection is performed without conducted photo shoots thorax biopsy after the completion of the initial inspection of the reason being it's been monitored from determining the point of puncture and biopsy needles size very small possibility tend small occurrence pneumothorax.
THE USE OF STUDENT TEAM ACHIEVEMENT DIVISION (STAD) IN IMPROVING WRITING ABILITY AT THE ELEVENTH GRADE OF SMA N 1 NAWANGAN IN ACADEMIC YEAR 2019/2020

Writing is an important language skill because it becomes a means of learning, discovering, developing, and perfecting skills of language. The researcher using the Student Team Achievement Division (STAD) method to improve student writing ability. The aim was to change the classroom situation, so that the students will more interested in learning processes, and it will be easier for them to understand the material especially in writing class. The researcher used classroom action research as the research design. The subject was the eleventh grade MIPA 1 SMA N 1 Nawangan on 2019/2020 lesson year. The class consists of 24 students. Before implementing the research, the researcher made lessons plan, scenario teaching using STAD and prepared instruments, questionnaire, observation, and test. The research was conducted in two cycles. Each cycle consisted of three meetings. The first and second meetings was the implementation STAD method and the third was the test. Based on the result of the observation it showed that the students were more active than previous meeting, the percentage was 67% in cycle one and 88% in cycle two. The result of the questionnaire score was 68.4% in cycle one and 74.2% in cycle two it meant the students were more enjoyed, gave positive response and looked more fun with implementation those method. The result of writing test in cycle one it was known that 14 students or 58% who got score above 70, in cycle two was 100% or all students got score above 70. The result of writing test in cycle two, it showed improvement. The research finding proves that STAD method was successfully in improve writing ability. The researcher suggest that using STAD method in writing skill is a good alternative to teach and learn writing in order to make the learning process become more effective and independent
LibGuides: GB320: Spa -- Fall 2019 -- Sections 007, 008, 009 (Aroian, Markwith, Shepherd, & Amin): Competitor Research

Research guide created for students in the Fall 2019 sections of GB320 with Professors Aroian, Markwith, and Shepherd.
A STUDY ON THE MATHEMATIC STUDENTS’ DIFFICULTIES IN LEARNING ENGLISH AT EDUCATION STUDY PROGRAM OF FKIP USN KOLAKA

This research was a descriptive research with qualitative approach. It aimed to investigate the difficulties faced by class A students in the Mathematics Education Study Program in mastering four English language skills (Speaking, Writing, Reading, and Listening). The subjects in this study consisted of 26 students who were selected by purposive sampling. To obtain the data, The researchers used two instruments, namely interviews and questionnaires. Questionnaires were distributed to students to find out the information about students’ difficulties, while interviews were submitted to informants to clarify information obtained from the questionnaires. The data were analyzed through three stages; data reduction, data presentation, and drawing conclusions or verification. The results showed that most of the students had difficulties when they learnt English such as lack of vocabulary, low grammar mastery, and pronounciation. These three problem were regarded as the obstacles to them to perform the four English skills. In addition, facilities in learning as well as techniques or methods used by lecturers in the teaching and learning process became the factor influenced students in mastering English.
PENERAPAN METODE QUANTUM LEARNING DALAM PEMBELAJARAN MENULIS PUISI

The background of this research is that some facts found in the field of students cannot express their ideas and imagination into a poem due to difficulties in finding poetic words and the use of less innovative methods. This can be proven from the results of previous student observations showing that some students were less motivated during the learning process, so that students obtained poetry values with less criteria. In connection with this problem, the formulation of the problem of this research is how the results of writing poetry before and after the application of the quantum learning method? This study aims to determine the results of writing poetry using the quantum learning method. The method used is an experimental one-group pretest-posttest design. The average value of the initial test (pretest) obtained was 70.31 while the average value of the final test (posttest) was 80.78, an increase of 11.41%. The SPSS results showed a paired T sample sig test 0,000 <0,05. Therefore it can be concluded if the quantum learning method can be used in poetry learning, because students can make poetry better than before the implementation of the quantum learning method.
Human Action Recognition based on Spatio-temporal Feature Extraction using Pre-trained CNN Model and LSTM approach

Human Action Recognition (HAR) is one of the major research areas in Image Processing in association with Machine Learning.HAR is mainly used to recognize the various actions performed by a human, based on the given input frame.Some of the techniques for performing HAR are effective, but have restrictions such as low accuracy levels and high computational complexities.In the existing system, Recurrent Neural Networks (RNNs) and Long Short Term Memory (LSTM) units are used to perform deep learning for classifying videos based on the activity performed.The proposal contains pre-trained Convolutional Neural Network (CNN) models recognizing actions using Transfer Learning method.The top classification layer of the pre-trained CNN model is removed and additional layers are created and trained to process a specific dataset.Various pre-trained CNN models like VGG16, InceptionV3, Resnet50, Resnet150 and Resnet152 are used to extract the visual features, based on those features the videos of the UCF101 dataset are classified.
Survey on Enhancement Techniques of Underwater Images

In underwater view, the light which is dependent on wavelength incorporates and scatters the disgrace visibility of images, because of less difference and unclear color casts. To deal with this crisis, a neural network-based image enhancement model, which is skilled expertly by underwater image database. With underwater imaging models and optical properties of underwater view, first combine ten different aquatic image databases. Some of the enhancement algorithms are used to improve various features of underwater images. While putting forward a new algorithm, compare the projected performance with a few substitutes which is there in present situation. This paper gives the valuable methodology definition for underwater image enhancement technique’s effective performance estimation. The images are enhanced by three different approaches: Objective metrics, An expert panel and Estimation of 3D reconstructions results.
PAIE: A Personal Activity Intelligence Estimator in the Cloud

Personal Activity Intelligence (PAI) is a recently proposed metric for physical activity tracking, which takes into account continuous heart rate and other physical parameters. PAI plays an important role to inform users of the risk of premature cardiovascular disease, and helps to promote physical activity. However, the PAI computing is too expensive to provide feedback in time, which restricts its practical value in disease warning. In this paper, we present PAIE, a Personal Activity Intelligence Estimator based on massive heart rate data in the cloud. PAIE provides approximate PAI with desired accuracy of statistical significance, which costs much less time than that used to provide the exact value. We design the PAI estimate framework in the cloud, and propose a novel estimate mechanism to leverage the efficiency and accuracy. We analyze the PAI algorithm, and formulate the statistical foundation that supports block-level stratified sampling, effective estimation of PAI and error bounding. We experimentally validate our techniques on Storm, and the results demonstrate that PAIE can provide promising physical activity estimate for massive heart rate data in the cloud.
Research on the Training of Entrepreneurial and Innovative Talents in Musicology Major in Minzu Universities

The concept of mass entrepreneurship and has fully stimulated the wisdom and creativity of the masses and become an important way to achieve economic development and prosperity. Under the background of vigorously promoting innovation and entrepreneurship, the cultivation of musicology talents in Minzu universities is facing more opportunities and challenges. Starting from the current situation of musicology talents cultivation in Minzu universities, this paper focuses on the analysis of the problems existing in musicology talents cultivation in Minzu Universities under the entrepreneurial and innovative environment, and puts forward the path of entrepreneurial and innovative talents cultivation in music specialty of ethnic universities.
The Logical Structure of Consciousness (behavior, personality, rationality, higher order thought, intentionality) (revised 2019)

After half a century in oblivion, the nature of consciousness is now the hottest topic in the behavioral sciences and philosophy. Beginning with the pioneering work of Ludwig Wittgenstein in the 1930’s (the Blue and Brown Books) and from the 50’s to the present by his logical successor John Searle, I have created the following table as a heuristic for furthering this study. The rows show various aspects or ways of studying and the columns show the involuntary processes and voluntary behaviors comprising the two systems (dual processes) of the Logical Structure of Consciousness (LSC), which can also be regarded as the Logical Structure of Rationality (LSR-Searle), of behavior (LSB), of personality (LSP), of reality (LSOR), of Intentionality (LSI) - the classical philosophical term, the Descriptive Psychology of Consciousness (DPC), the Descriptive Psychology of Thought (DPT) –or better, the Language of the Descriptive Psychology of Thought (LDPT), terms introduced here and in my other very recent writings.
Pattern Matching Strategy Based on Optimized Fuzzy Clustering Algorithm for Industrial Internet

With the promotion of Industrial Internet and big data technologies, pattern matching based on previous case database is widely employed. As the database growth and case libraries continue to scale, the conventional method can't be maintained at a good performance continuously. Thus, an improved method is proposed based on optimized Fuzzy c-means (FCM) algorithm in this paper. The historical case base is dimensioned and classified into each subclass set by clustering of FCM algorithm combining with principle components analysis (PCA) results, which is beneficial to eliminate the impact of redundant variables. In order to reduce the complexity of case retrieval, a graded matching strategy is proposed. In the primary matching stage, the target case is matched with centers obtained by clustering, and the secondary matching stage, the matching case for operational optimization is retrieved among the subclass set corresponding the center obtained in primary stage. Furthermore, a comprehensive metric is proposed to improve the measure of case similarity, which effectively utilizes Euclidean distance and Cosine similarity for nearest neighbor (NN) queries in high dimensional sample spaces. The experimental study is carried out with UCI data set, and shows that the method proposed in the paper can get better clustering results, which the matching time is shortened and the accuracy is increased.
Enfoque de simplificación léxica utilizando recursos de lectura fácil

espanolEste trabajo tiene como objetivo facilitar la comprension y legibilidad de textos en espanol en un dominio generico a traves del diseno de un sistema de simplificacion lexica que da soporte a la tarea de Complex Word Identification (CWI) y eleccion de sustituto mas sencillo. Considerando la limitacion de recursos disponibles en espanol, exploramos diferentes caracteristicas que nos permitan discernir entre una palabra compleja y una simple. Algunas de estas caracteristicas son obtenidas de lectura facil. La evaluacion muestra buenos resultados al obtener 0.7497 en F1-score en la tarea de CWI con el dataset de la competicion de BEA Workshop 2018. EnglishThis work aims to facilitate the understanding and readability of Spanish texts in a generic domain through the design of a lexical simplification system that provides support to the task of Complex Word Identification (CWI) and selection of a simpler substitute. Considering the limited resources available in Spanish, we explore different features that allow us to discern between a complex word and a simpler one. Some of these features are obtained from easy-to-read resources. The evaluation shows good results by obtaining an F1-Score of 0.7497 on the CWI Task with the BEA Workshop 2018 competition’s dataset. |
Perbandingan Model Data Hilang dengan Model Least Median Square (LMS) pada Optimasi Respon Ganda menggunakan Metode Generalized Reduced Gradient (GRG) (Kasus Penggurdian Komposit Karbon)

Epoxy drillings have consequences the chisel will worn down and drilling result vary greatly. This research purpose is to minimize the chisel wearing out and drilling result deviation with generalized reduce gradient method (GRG). advantage of the method can to look for weighted from both response. This method Applied to outlier data for the chisel wearing out. Research result are more take note of the chisel wearing out than drilling result deviation and optimum condition to machine speed is 715,5 rpm, scrape speed is 90 mm/min, chisel angel is 73,8o with the chisel wearing out is 0,3253 mm and drilling result deviation 5,3720 micron. &#x0D; &#x0D;
3 Scale Analysis

This lecture explains the principles of scale construction and evaluation. It uses the Student Conceptions of Assessment inventory to illustrate the principles of scale determination using Jamovi. The SCoA data set is the NZSCoAVI.
TD‐P‐44: UNOBTRUSIVE, SENSOR‐BASED MEASUREMENT OF IN‐HOME WALKING SPEED AND ITS DAY‐TO‐DAY VARIABILITY IDENTIFIES FUTURE FALLS IN OLDER ADULTS

A full range of clinical testing allow us to evaluate fall risk in older adults. Clinicians may be able to identify a high risk population but do not know when the fall will happen. However, we should address this issue if we want to propose targeted and timely intervention that may reduce the incidence of falls. our aim was to determine whether an unobtrusive long-term in-home assessment of walking speed metrics could detect a fall to come. In both ORCATECH Living Laboratory study and the ISAAC study an in-home sensor activity monitoring system has been deployed in the homes of over 250 older adults in order to monitor their daily walking speeds . Participants also responded to weekly online questionnaires collecting information about falls. Longitudinal mixed effects regression models were used to explore trajectories of walking speed metrics in fallers vs. non-fallers over time. We observed no major differences between faller (n=55) and non-fallers (n=70) at baseline in clinical functional tests. There was a longitudinal significant decline in median daily walking speed over the three months prior to a fall in those destined to fall as compared to non-fallers, p<0.01. Fallers mean walking speed decline 0.1 cm/s every week. We also found a pre-post differences in sensor-based walking speed metrics in individuals that experienced a fall: “baseline” walking speed variability was lower the month and the week prior to a fall, p<0.01. While basic clinical tests were not able to differentiate who will prospectively fall, we found that significant variations in walking speed metrics prior to a fall was measurable. These results provide evidence of a potential sensor-based risk biomarkers of a fall to come in community living older individual and provide a threshold. Our findings open up a new perspective to set up targeted and timely personalized interventions.
Multiword Expressions Under the Microscope

Almost 2 decades have passed since the publication of the paper Multiword Expressions: a pain in the neck for NLP [15].In this time there have been considerable advances in representing Multiword Expressions (MWEs) in various languages, resulting from several projects, events and initiatives devoted to them [13] [12][11][16].Ranging from idioms (make ends meet), light verb constructions (take a shower ) and verb particle constructions (shake up) to noun compounds (loan shark ), MWEs have provided new challenges and opportunities for language processing [5].Their integration in tasks and applications like parsing[9][6], information retrieval[1], machine translation[4] has brought improvements for language technology, providing a degree of precision, naturalness and fluency.Any amount of interest they have attracted is justified as they account for an important part of human languages with estimates that they appear in the mental lexicon of native speakers with the same order of magnitude as single words[10], and with about four MWEs being produced per minute of discourse [8], in all languages and domains from informal to technical contexts [3].After all this time, should they still be considered as an open problem[17] and hard going [14], or is it all plain sailing[14]?In this talk I present an overview of advances in the identification of multiword expressions, that often capitalize on the various degrees of idiosyncrasy they display, including lexical, syntactic, semantic and statistical [2][18].I will concentrate on techniques for identifying their degree of idiomaticity and approximating their meaning, as their interpretation often needs more knowledge than can be gathered from their individual components and their combinations [7] (Fillmore, 1979) to differentiate combinations whose meaning can be (partly) inferred from their parts (as apple juice: juice made of apples) from those that cannot (as dark horse: an unknown candidate who unexpectedly succeeds).
ACTIVISATION OF THE CREATIVE POTENTIAL IN 7/8-YEAR OLD CHILDREN BY IMPLEMENTATION OF MIXED PAINTING TECHNIQUES IN FINE ART EDUCATION

Introduction: The article explores some processes that activate the creative potential of 7/8- year old children after mixed painting techniques introduction and application. Problems on a theoretical and empirical level are discussed, based primarily on the children's creative activity results and determined by the degrees of free experimental application of painting and non-painting materials. &#x0D; Study Objective: The usage of some mixed techniques in the fine arts is considered and how they reflect on the dynamics of the children's education creative process.&#x0D; Methods: During the experimental work, the following methods are applied: monitoring and analysing the processes of working with different materials, experimenting with mixed painting techniques, composition analysis, image and richness of the expression means. &#x0D; Results: In the course of the study, it is established that the usage of more than one material for the pictorial activity significantly increases child creativity and better image in graphic and artistic terms are acquired, composition and richness of expression means are attained. &#x0D; Conclusions: The application of mixed painting techniques in fine art education of 7/8-year olds increases the creative activity, builds a lasting interest in the fine art, and enhances the emotional and aesthetic impact.
Formatted Strings Using Template Strings

Ever tried to create a dynamic string in JavaScript that involved interpolating more than one variable at a time? I always seem to mess up the + and the quotes somehow. And heaven forbid we must format it in a particular way with new-lines and indentation. Also, let’s not talk about ever changing that once we get it written out, shall we?
THE EFFECT OF USING DIRECT METHOD IN TEACHING SPEAKING SKILL AT THE SECOND YEAR OF SMK NEGERI 1 BENER MERIAH-ACEH

This study aims at investigating at the use of Direct Method in the classroom, a few of English teacher applied many strategies and methods to increase students’ speaking skill throughout describing and asking responses from the students, sometimes the teacher using group discussion, role play/simulation, picture story, and game, etc. . Besides, using interesting strategies or methods. But in reality, the students faced the problem, while the researcher using Direct Method in this study the students able to speak each other. Subsequently has improvement in speaking skill. The main focused in this study is to know the effect using Direct Method before and after being taught by using Direct Method. And also emphasizes the benefits of the Direct Method to teach how to communicate in the target language.
Mica deposits of the Blue Ridge in North Carolina: digital data

Point locations of mines and prospects were digitized from the plates of USGS Professional Paper 577. Geological characteristics of those deposits was digitized from the tables of the same report. These data are provided in this release as digital geospatial data files. Included in this release are scanned images of the plates and the preliminary text preceding the tables that describe the deposits in detail.