Reviewerly/exHarmony huggingface dataset:
Specific Patches Decorrelation Channel Feature on Pedestrian Detection

Typical Local Decorrelation Channel Feature (LDCF) for pedestrian detection generates filters derived from decorrelation for each entire positive sample, using Principle Component Analysis (PCA) method.Meanwhile, extensive pedestrian detection methods, which utilize statistic human shape to guide filters design, point out that the head-shoulder area is the most discriminative patches in typical classification stage.Inspired by above mentioned local decorrelation operation and discriminative areas that most classifiers indicate, in this paper we propose to integrate human shape priority into image patch decorrelation to generate novel filters.To be specific, we extract covariance from salient patches that contain discriminative features, instead of each entire positive sample.Furthermore, we also propose to share covariance matrix within grouping channels.Our method is efficient as it avoids extracting uninformative filters from redundant covariance of convergent patches, due to embedded prior human shape info.Experiments on INRIA and Caltech-USA public pedestrian dataset has been done to demonstrate effectiveness of our proposed methods.The result shows that our proposed method could decrease log-average miss rate with detection speed retained compared to LDCF and most non-deep methods.
Implementasi Pendekatan Saintifik Berbasis Media PPT untuk Meningkatkan Motivasi Belajar Peserta Didik pada Tema 7 Perkembangan Teknologi di SD Negeri 1 Klepu Kabupaten Temanggung

This study aims to increase students' learning motivation using PPT media through a scientific approach on theme 7 technological developments at SD Negeri 1 Klepu, Temanggung Regency. This research method uses classroom action research with the research subjects being grade 3 students for the 2020/2021 academic year. This research instrument uses observation, questionnaires, and documentation. While the data analysis technique used descriptive analysis. The results of this study indicate that there is an increase in learning motivation for Theme 7 using PPT media through a scientific approach to 3rd grade students of SDN 1 Klepu. This can be seen from the increase in the average percentage of student learning outcomes from cycle I, namely 61% and 69%. Cycle 2 has increased with the acquisition of the average percentage of students' learning motivation scores from both observation sheets and questionnaires, which is 76%. Cycle 3 experienced a significant increase as seen from the results of the average percentage of students' learning motivation scores from both observation sheets and questionnaires reaching 86% and 87%, respectively. So that the expected category is the very good category with the criteria of 86% - 100% has been achieved.
REFLEXÕES SOBRE O PAPEL DO ENFERMEIRO LÍDER/GESTOR DA ESF

This study aimed to analyze the importance of the leadership of the nursing professional within the Family Health Strategy (FHS). It is a bibliographic review, whose research was carried out through the analysis of scientific articles, books, and electronic journals, who seek to discuss and analyze the importance of nurses as leaders / managers within Primary Care. Leading a multidisciplinary team and managing a health unit shows to be a fundamental role for the quality of the service provided to the population, a role that falls to the nurse. The nurse must exercise his leadership role to put his planning within the unit into practice, so he must know how to face difficulties and mediate conflicts that occur within the unit, with the intention of seeking the best performance of his team to that the service is carried out successfully, but for that it must seek creativity, wisdom both in the managerial part and in the part of the practice of caring.
Prediction or Comparison: Toward Interpretable Qualitative Reasoning

Qualitative relationships illustrate how changing one property (e.g., moving velocity) affects another (e.g., kinetic energy) and constitutes a considerable portion of textual knowledge.Current approaches use either semantic parsers to transform natural language inputs into logical expressions or a "black-box" model to solve them in one step.The former has a limited application range, while the latter lacks interpretability.In this work, we categorize qualitative reasoning tasks into two types: prediction and comparison.In particular, we adopt neural network modules trained in an end-to-end manner to simulate the two reasoning processes.Experiments on two qualitative reasoning question answering datasets, QuaRTz and QuaRel, show our methods' effectiveness and generalization capability, and the intermediate outputs provided by the modules make the reasoning process interpretable.
Operating Wheelchair Using Flex Sensor

Disabled people find their movements extremely difficult with their current gadgets. Although there are numerous devices and instruments accessible to empower their mobility, they require fine and precise control, which may be impractical in instances of higher disability. The haptic innovations are very beneficial, but demands a user friendly environment too. Strategies, designs and frameworks in this field are more in number, which depends on Joystick. But this can prove to be a big-budget. Therefore, the aim of this paper is to control a wheelchair through a utility that is budget-sensitive and practical to use. A flex sensor based wheelchair is presented in this paper, which is user friendly within a low budget. The proposed system is also accompanied by a movement monitoring system that can help the user’s kin to observe his/her movement. The aim is to provide such features which is affordable to the society and can be used with ease.
FIGURATIVE LANGUAGE IN THE DIALOGUE OF MAPPETTU ADA (MARRIAGE PROPOSAL) IN BUGINESE CULTURE

The objectives of the research are to explain the kinds of figurative language and the meaning of figurative language used in the dialogue of mappettu ada (Buginese term) in Buginese culture. The method used in this research was a descriptive qualitative method. The data is collected in two ways, they were observation and interview. There are some words or sentences involving figurative language in the dialogue of marriage proposal in Buginese culture. It probably hard for the readers and the listener to understand the content of the dialogue. Hence, the writer explained the meaning of the dialogue into ordinary language. This study shows that the writer found out five kinds of figurative language expressions in the dialogue of mappettu ada (buginese term) in Buginese culture, particularly in Bonenese culture. They are hyperbole, symbol, personification, metaphor, and litotes. Figurative language which often emerges in the dialogue of mappettu ada are hyperbole and symbol.
PENGEMBANGAN APLIKASI PENGOLAH NILAI BERBASIS WEB UNTUK MADRASAH TSANAWIYAH

The change in the national education curriculum from the Kurikulum Tingkat Satuan Pendidikan to Kurikulum 2013 has brought changes to the assessment system. MTsN 1 Bukittinggi is one of the schools that applies Kurikulum 2013. The application of Kurikulum 2013 to this school also has an impact on changes in the assessment system. Changes to the grading system need to be supported by applications to facilitate processing of scores. At present, MTsN 1 Bukittinggi still uses a Spread Sheet-based score processing application. The applications used so far have been unable to meet the demands of the assessment system. With this Spread Sheet-based application, scores processing feels more complicated and still has the risk of input error. Therefore, it is necessary to develop a web-based scores application that is designed in accordance with the needs of the school. The purpose of this project is to develop a web-based scores processing application that can simplify the process of scores input, scores processing and study report printing. This application development uses the PHP programming language (PHP Hypertext Processor) with the CodeIgniter framework and MySQL as a Database Management System (DBMS). The system design method used is by Context Diagram, Flow Map, and Use Case Diagram. The results of the research is a web-based scores processing application that has been tested on several Internet browsers such as Mozilla Firefox and Google Chrome. The application runs well and can meet the needs of the school.Keywords: Score Processing Application, web, Spread Sheet, Madrasah Tsanawiyah
Application of various forms of information and communication technologies in the context of distance learning

The article shows the possibility of using information technology in the context of distance learning. The teaching process is always based on the transferring of information from teacher to student. As to distance education, the most important are the following: educational information; educational technologies; information technology. When choosing methods for usage in distance learning, it is important to take into account that certain methods are best suited to the characteristics of the trainees, the specifics of particular subject areas and the general types of educational tasks and exercises. Distance learning network technologies are especially important when organizing joint educational programs, since they allow the most complete implementation of the principles of the distribution of educational and human resources. The article reveals the forms of information and communication technologies used in modern higher educational institutions in the field of digital education. The mandate for the usage of ICT in education is being clarified. Various educational tools using ICT have several aspects, including: stimuli, information, education and methods. The empirical research was carried out on the basis of the analysis of social networks in the context of distance learning.
Feature selection and similarity comparison system for identification of unknown paintings

There is a problem that unknown paintings are sophisticated in the level of forgery, making it difficult for even experts to determine whether they are genuine or counterfeit.These problems can be suspected of forgery even if the genuine product is submitted, which can lead to a decline in the value of the work and the artist.To address these issues, in this paper, we propose a system to classify chromaticity data among extracted data through objective analysis into quadrants, extracting comparisons and intersections, and estimating authors of unknown paintings using XRF and hyperspectral spectrum data from corresponding points.
Survey Paper on Fine-Grained Facial Expression Recognition using Machine Learning

A computer to monitor emotions that can assess fundamental speech of the human face.This research proposes a mood forecast based on emotions of the human face.The instrument to detect the human mood and to play an audio file with this effect that refers to human emotions.Next, the computer takes the human face as its input, so another move is taken.The face and eye are identified.This is done.The human face is then recognized by the technique of extraction of the attributes.In this way, a face picture feature recognizes the emotion of the individual.The lips, mouth and eyes and the eyebrow extract these signature marks.If the emotional face matches the emotional dataset exactly, the exact emotions of people can be defined to play the audio-file with the emotional details.Training on a limited number of faces would be recognized in different environmental circumstances.The proposed solution is quick, efficient and accurate.The machine plays an increasingly important part in the field of identification and detection.
Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction

We propose a transition-based bubble parser to perform coordination structure identification and dependency-based syntactic analysis simultaneously.Bubble representations were proposed in the formal linguistics literature decades ago; they enhance dependency trees by encoding coordination boundaries and internal relationships within coordination structures explicitly.In this paper, we introduce a transition system and neural models for parsing these bubble-enhanced structures.Experimental results on the English Penn Treebank and the English GENIA corpus show that our parsers beat previous state-of-the-art approaches on the task of coordination structure prediction, especially for the subset of sentences with complex coordination structures. 1
MENINGKATKAN MINAT BACA, KEMAMPUAN MEMAHAMI BACAAN, DAN BERPIKIR KRITIS SISWA MELALUI PENERAPAN SUSTAINED SILENT READING (SSR) DAN READING RESPONSE [IMPROVING STUDENTS' READING INTEREST, READING COMPREHENSION, AND CRITICAL THINKING THROUGH THE IMPLEMENTATION OF SUSTAINED SILENT READING (SSR) AND READING RESPONSE]

&lt;div&gt;&lt;p class="1eAbstract-text"&gt;Reading is one of the many skills which is taught in Indonesian language lessons. During lessons, students are usually asked to read a passage of text and answer comprehension questions. This makes reading activities less interesting. Since students are not able to find enjoyment in reading and they gain limited vocabulary. Consequently, students think that the Indonesian language is hard to master. Students’ reading interest, reading comprehension and critical thinking skills are low. This situation has urged the researcher to apply Sustained Silent Reading (SSR) and Reading Response as an alternative solution to the problem, as an act of improvement. Through the method of class action research, this research aims to describe the process of implementing Sustained Silent Reading (SSR) and Reading Response; analyse the development of students’ reading interest, reading comprehension and critical thinking skills; and also to describe the constrains during the implementation. Data has been collected with field notes, observation and scores of the students’ work using rubrics. The research consists of 3 cycles after which data was processed qualitatively and analysed descriptively. The research showed that students’ reading interest, comprehension and critical thinking skill had improved.&lt;/p&gt;&lt;/div&gt;
Fitness Center Design with Natural Shapes and Forms Approach in Surabaya

Density of Surabaya city affects the physical and psychological health of the people. Productive activities accompanied by a dense environment mean that people rarely have time to exercise. To increase the awareness and interest of the people of the city of Surabaya to exercise, it is necessary to have a sports facility with a special approach. Biophilic theory, especially the natural shapes and form approach, can be a solution to these problems. The return of nature's essence into the building can provide positive benefits for human physical and physical health. Previous research has discussed the determination of fitness center design criteria with the natural shapes and forms approach in Surabaya. In this follow-up journal, we will discuss the final result or application of the design criteria into an architectural work. The design method used is the force based framework method. The force in the design of this building in addition to the surrounding natural environment is the natural perception of the community which is transformed into architectural forms. It aims to increase interest in training and restoring the user's physical and psychological health without having to go far out of town to look for nature.
Learning Slice-Aware Representations with Mixture of Attentions

Real-world machine learning systems are achieving remarkable performance in terms of coarse-grained metrics like overall accuracy and F-1 score. However, model improvement and development often require fine-grained modeling on individual data subsets or slices, for instance, the data slices where the models have unsatisfactory results. In practice, it gives tangible values for developing such models that can pay extra attention to critical or interested slices while retaining the original overall performance. This work extends the recent slice-based learning (SBL)~\cite{chen2019slice} with a mixture of attentions (MoA) to learn slice-aware dual attentive representations. We empirically show that the MoA approach outperforms the baseline method as well as the original SBL approach on monitored slices with two natural language understanding (NLU) tasks.
Geostatistical Study of Airborne Geophysical Data of the Tiouit Mining Area (Eastern Anti-Atlas, Morocco)

The present work focuses on the Tiouit mining zone that is part of the Moroccan Eastern Anti-Atlas. The study area is characterized by its strategic mining aspect considering the mining showings related to its geological, structural, and geodynamic factors. The mining site of Tiouit is very well known by the gold mine currently in shutdown. The genetic models proposed by different authors agree on an epithermal origin of copper porphyry type. This type of deposit is characterized by a strong radioactive activity related to the circulation of hydrothermal fluids materialized by enrichment in potassium and depletion in Thorium, a low magnetic susceptibility due to oxides a low apparent resistivity to the presence of conductive minerals. The main objective of the present work is to use principal component analysis (PCA) on the various airborne geophysical data, including gamma-ray spectrometry (concentrations of radioactive elements 40K and 232Th), magnetism (magnetization contrast due to magnetic susceptibility), and electromagnetism (apparent electrical resistivity) to describe the physicochemical behavior of the mining zones in operation as well as to prospect other zones favorable for exploration. The geostatistical study of these data highlights the adequate principal component (PC) to visualize these geophysical variables. We chose PC4 to visualize the zones favorable for mining concentration because it describes the same physical and chemical characteristics represented by the Tiouit alteration zone. The collection and X-ray fluorescence analysis of 32 samples in the field yielded high grades of Arsenic (84 g/t), Copper (5.87%), Iron (19%), Lead (5.7%), and Zinc (7%).
Analisis Pemanfaatan Media Pembelajaran Akuntansi Berbasis Adobe Flash Untuk Meningkatkan Hasil Belajar Siswa

The purpose of this study was to analyze the use of Adobe Flash based accounting learning media to improve student learning outcomes. The problems found that most students are more passive, reluctant, afraid or ashamed to express their opinions in accounting learning. In addition, there is less variation in teaching patterns using learning media.The research method uses the library research method by testing the validity of data in qualitative research including testing, credibility (internal validity), transferability (external validity), dependability (reliability), and confimability (objectivity). Based on the results of the analysis that adobe flash-based accounting learning media can increase and direct the attention of students so that it can lead to learning motivation, more direct interaction between students and their environment, and the possibility of students learning individually according to their abilities and interests.
PRINCIPLES FOR SELECTING THE CLOUD TECHNOLOGIES CONTENT TECHNOLOGIES AT PEDAGOGICAL UNIVERSITY

In recent years, special attention has been paid to the training system focused on the formation of digital skills. Cloudbased training allows solving a number of issues with storing the results of training activities and organizing access to them. For this, it is necessary to teach future teachers of computer science the principles of cloud technologies, the use of «clouds» in solving pedagogical problems. In this regard, it is necessary to determine the content of teaching cloud technologies for future teachers of computer science. The article discusses the principles of determining the content of teaching cloud technologies for future teachers of computer science. The authors define the principle of «cloudiness» as one of the leading principles for building a system of teaching cloud technologies and teaching in general. The goals and objectives of training are determined, the content of training in cloud technologies is disclosed.
Evaluation of humoral pattern detection performance of Mindray BC-6000PLUS blood analyzer based on WS/T 662-2020

Background: Manual microscopic examination is the gold standard of humoral cell count test. However, it has some limitations and cannot fully meet clinical needs. Compared with the manual method, the automatic blood cell analyzer has the advantages of a high degree of automation, minimal error, high speed, high precision, and easy standardization. This study intends to verify the detection performance of the body fluid model of the Mindray BC-6000PLUS automatic hematology analyzer.Methods: This study was performed in accordance with the International Committee for Standardization in Haematology (ICSH) Hematology Analyzer Evaluation Guide (version 2014) and the requirements of WS/T662-2020 “Clinical humoral examination technique”. The humoral white blood cell-body fluid (WBC-BF), humoral red blood cell-body fluid (RBC-BF), monocyte (MN), polymorphonuclear (PMN) were measured to verify the performance indicators of the instrument, including background counting, intra-batch precision, accuracy, carrying contamination rate, and linear range. Referring to the WS/T514-2017 (Establishment and verification of detection capability for clinical laboratory measurement procedures), the limit of blank (LoB) and limit of detection (LoD) values of WBC-BF and RBC-BF in the humoral mode of the instrument were established.Results: The blank count of WBC-BF and RBC-BF, and contamination of Mindray BC-6000PLUS analyzer were zero; the coefficient of variation (CV) of intra-batch precision at different levels of each item was less than 10%. There was a high correlation between instrument test results and manual microscopic examination results (r>0.95). The linear range of the instrument was wide, and the linear verification parameters was good (R2>0.999). The LoB value and LoD value of WBC-BF established by the instrument were 0×109/L and 0.004×109/L, respectively. The LoB value and LoD value of the RBC-BF established by the instrument were 0×1012/L and 0.004×1012/L, respectively. The lower detection limits of WBC-BF and RBC-BF were set as 0.004×109/L and 0.004×1012/L, respectively.Conclusions: All performance indicators of the Mindray BC-6000PLUS automatic blood analyzer met the requirements of the manufacturer’s criteria. This instrument can fulfill the requirement of body fluid sample routine test in clinical practice.