Reviewerly/exHarmony huggingface dataset:
PENINGKATAN MINAT BELAJAR SISWA DALAM MATA PELAJARAN MATEMATIKA MELALUI STRATEGI PEMBELAJARAN AKTIF TIPE INDEX CARD MATCHDI KELAS IV SDN 06 LUBUK JANTAN

The interest in learning is one of the important factors for students' success in learning. However, interest in learning fourth grade students of SDN 06 Lubuk Jantan in mathematics subjects was found to be still low. The purpose of this study was to describe and obtain information about increasing students' interest in learning in mathematics through the Index Card Type Active Learning Strategy Match in Class IV SDN 06 Lubuk Jantan. This research is a classroom action research. The research procedures in this study include planning, action, observation and reflection. This study consisted of two cycles with four meetings. The research subjects consisted of 23 fourth grade students of SDN 06 Lubuk Jantan. The research data was collected using a test sheet. Data were analyzed using percentages. Based on the results of research and discussion that have been put forward, it can be concluded that the Active Learning Strategy Type Index Card Match can increase students' interest in learning in mathematics subjects in Class IV SDN 06 Lubuk Jantan. The interest in student learning in the first cycle was 69.67 increasing to 84.36.
Criminal records checks: how to check your staff

A surprising number of individuals have criminal records. Understandably, society wants them rehabilitated, but how far can an employer go in checking the background of employees and job applicants? Mark Stevens explains
THE DEVELOPMENT OF A 5W + 1H BASED POCKET BOOK ON THE KINGDOMS HISTORY MATERIAL TO IMPROVE READING LITERACY OF GRADE 4 ELEMENTARY STUDENTS

Abstract . This research was motivated by the problems found in elementary schools, which are students’ low literacy ability and lack of supporting books in learning. This research aimed to develop pocket book teaching material, determine the feasibility and the effectiveness of the 5W + 1H based pocket book on the kingdoms history material to improve reading literacy in the fourth grade elementary school students. The Development Procedure used the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). Small group trial subjects were 10 students from grade IV Shidiq and large group trials were 28 students from grade IV Amanah. While the operational field trial were conducted on 30 students from grade IV Fatonah and Tabligh. The results of the research on the feasibility test of media expert got a score of 78,91 with the category of very feasible, material expert got a score of 93,2 with the category of very feasible, learning expert got a score of 93,2 with the category of very feasible, and language expert got a score of 85,4 with the category of very feasible. In the assessment of the response of the teachers got a score of 93,62 with the category very feasible and the assessment of grade 4 students got a score of 97,82 with the category of very feasible. The effectiveness was tested using One-Group Pretest-Posttest Design and analysis using the normality test and Paired T-test. In the normality test, the data obtained were normally distributed with a significance value of pretest 0,98 and posttest (200). While in the Paired T-test, the average score is 69,00 pretest and posttest and the results of the significance (p) is 0,000 and smaller than the significance of 0.05 (0,000 <0.05).
SIMOMI : Online Guidance and Consultation Based Mobile Application as Independent Learning Media on Lactation

Lactation management is an effort to support lactation success starting from pregnancy, childbirth, and breastfeeding. Parents learn about lactation management directly from counseling or independently from articles and books. Website and social media become favorite learning media because both media can be accessed anytime and anywhere. Considering the large number of smart phone users and the limited internet connection in Indonesia, we developed a mobile based lactation management application named SIMOMI. The development of SIMOMI application aims to enable the community (parents, prospective parents, and everyone who needs understanding of lactation) to learn independently about lactation whenever and wherever, whether offline or online. The method used in this research is design system. Features available on Simomi applications include online calculators, articles, and consultations. The product have been tested using black box method and User Experience Test by involving experts to know the readiness and response to the technology before publishing for general audience. The test results concluded that Simomi application has been able to run as the goal and the initial design especially on the features of the calculator. Through this SIMOMI application, the wider community especially LP3A which is concerned with the growth of children and the role of women, can be more active in supporting the government program, especially in the awareness movement of exclusive breastfeeding for the community. It is expected to support the fulfillment of nutrition and development of the baby to the maximum.
Silk purse? Brass-instrument research with limited resources

Can we make a silk purse from the proverbial sow's ear? That is, can we do meaningful experiments with inexpensive equipment? It is certainly much easier than it used to be. The advent of digital audio and cheap computing power has revolutionized musical acoustics research. In this paper the author looks at several projects on brass instruments, most of which he funded out of his own pocket. Some yielded better results than others, but all pointed toward interesting work yet to be done.
Can you shop with your DNA?

A start-up wants to tell you what to eat based on genetics, reports Donna Lu
ALGORITHMS FOR MANAGING THE LOGICAL STRUCTURE OF THE DATABASE USING A PARAMETRIC MODEL OF COMPETITIVE ACCESS TO QUERIES BASED ON THE RANDOM FOREST METHOD

In article discusses the approach to development of mathematical software for support the process of managing the data schema in relational DBMS in terms of processing of parallel queries stream that compete for data in the hierarchy of the DBMS core memory. The necessity of the formation of a parametric model of queries competitive access. Briefly discusses methods of machine learning, allowing to solve the problem of regression recovery. The use of the random forest method as the most universal method of approximation of arbitrary functions is substantiated. A method of forming a parametric model of competitive access based on the random forest method, as well as an approach with the ensemble of sets of decision trees, which allows to provide the required generalizing ability and stability of the model to partial features and diversity of all types of queries received at the input of the DBMS. The stages of the developed algorithms are presented: ranking query parameters by total execution time and automatic data distribution, allowing you to go from approximating the target system with linear-continuous functions to a set of logical data schema objects, ordered by their effect on time, total query execution time, reducing multi-criteria optimization task to a task optimization by one criterion.
From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training

Mayur Patidar, Surabhi Kumari, Manasi Patwardhan, Shirish Karande, Puneet Agarwal, Lovekesh Vig, Gautam Shroff. Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). 2019.
REFLEKSI PESERTA DIDIK TERHADAP PEMBELAJARAN BERBASIS DIGITAL

Digitalization is the main characteristic of 21 st century, today is knowns as information society. Distribution of information more rapidly and affecting social life, it also affects education system. Digitalization of Education growth rapidly, and it does affect student as well. This research applied survey research method with design that used cross-sectional studies, the population are student of SMA Negeri 2 Tasikmalaya school year of 2018 th /2019 th , sampling with cluster random sampling. Data collection through questionnaire, unstructured interview and observation, validity checking with method triangulation and data analyzing with descriptive analyzing. The result is, student being addicted with technology proved by the uses of smartphone is in high percentage and the duration of smartphone uses is also high it makes student being familiar with digital world. Meanwhile if it’s being correlated with education needed, the student lack of understanding with the beneficial of technology in education as well as learning. In fact, student being skeptic and not welcoming digitalization in learning. To build positive paradigms digital learning in student, teacher must have selected with using learning application and controlling the process of learning to prevent the unwanted things
Target Tracking via Two-Branch Spatio-Temporal Regularized Correlation Filter Network

In this paper, a spatio-temporal regularized correlation filter for object tracking method based on two-branch Siamese fully convolutional network learning. Firstly, a correlation filter layer is added into the Siamese fully convolutional network to achieve end-to-end learning representation; secondly, the semantic feature is combined with the appearance feature to further enhance the discriminative ability of Siamese fully convolutional network; finally, the spatio-temporal regularized correlation filter is utilized to reduce the training time and improve the tracking performance. Extensive experiments conducted on VOT2017 and OTB2015 dataset demonstrate the superior performance of the proposed approach over the examined state-of-the-art approaches.
Measurements and impulse pattern formulation (IPF) model of phase transitions in free-reed wind instruments

Free-reed wind instruments have a free reed attached to a tube, and are a unique instrument of Laos, Thailand, China, or Japan. Three examples, a 5-pipe hulusheng from Yunnan, China and two Laotian instruments, a 6-pipe Hmong and a 14-pipe Lao khaen are compared in terms of their construction and acoustic properties. With normal playing pressure the pipes only sound when a hole in the pipe is closed. Then, the pitch is determined by the pipe length. When the holes are open the pipes do not sound. Still with low blowing pressure some pipes sound near the frequency of the free reed. A sudden phase transition from reed to pipe frequency happens at a certain blowing pressure. On the contrary, the bordun pipe cannot be muted and produces two pitches with a one-hole fingering. Using the Impulse Pattern Formulation (IPF), which assumes the instrument to work with traveling pressure impulses through the pipes which are reflected, damped and act back on the reed again, the fundamental behaviour of free-reed instruments is modelled.
Measuring free reed oscillation: Some case studies

This paper presents an overview of efforts to measure several quantities related to sound production in free reed instruments. All were undertaken with limited financial resources for equipment and a professor who started with limited experience in experimental physics, but with a good supply of talented and creative undergraduate students. The case studies to be presented will include detecting the presence of higher transverse modes and torsional modes of vibration in an air-driven free reed, detection and significance of these modes in the initial transient, measurement of the volume airflow as a function of time in an oscillating free reed, and using a combination of measurement and theoretical calculation to predict the sounding frequencies of free reed pipes with non-uniform bore shapes.
Non-Digital and Digital Technology

Long before the invention of computers, people around the world created, distributed, and read non-digital texts. In ancient Chinese cultures, people used a script called jiǎgǔwen, or oracle bone script. In ancient Roman cultures, people preferred codices, books made from stacking pages of papyrus, parchment, and other materials and then binding them with a cover. Even now, as computers dominate our daily lives, we still rely on a number of non-digital texts in a variety of ways, as the examples in this chapter demonstrate. True, digital technologies can sometimes make creating multimodal texts easier and more convenient, but non-digital technologies can sometimes be just as, if not more, appropriate to our writing situations. And, non-digital doesn’t mean non-technological. In fact, there are lots of technologies that help us create non-digital texts. Therefore, at the center of this chapter is a discussion of the similarities and the differences between non-digital and digital technologies and how we use them to write and distribute a variety of texts. This chapter also features discussion questions, activities, and assignments about what writing and technologies are made of and the choices writers make when using different materials to write both non-digital and digital texts.
Capsule Recurrent Neural Network with Weight Update Using Dynamic Routing by Agreement: A Unified Model for Action Recognition in Videos

The current state of the art for action recognition in computer vision field is still the Convolutional Neural Network (CNN) with its outstanding result and performances. But it lacks capability of resolving ambiguity on overlap action. A novel framework Capsule Recurrent Neural Network (Caps-RNN) is proposed in this paper that aim at achieving better accuracy in video action recognition. The proposed model is comprised of CNN, Primary Capsule and RNN. The CNN and Primary Capsule is in charge of extracting spatial feature information and the RNN with the dynamic routing is employed for temporal feature extraction and frames prediction. As the key component of the model Dynamic Routing by Agreement is used to update the weight during the training of RNN. Experiments were conducted on a subset of the UCF-101 dataset and the result reveals that our proposed model provides a competitive performance for action classification as compare to other methods.
[Development of teaching training and assessment system for warming acupuncture].

A teaching training and assessment system for warming acupuncture is developed. This system is suitable for the technique operation of multi-acupoint warming acupuncture, and could evaluate the training effects of warming acupuncture at each acupoint. The hardware structure of this system is mainly composed of man-machine interface, control unit and training unit. The software program includes reset module, system clock module, needle depth signal control module, vibration control module and communication module. The teaching training and assessment system of warming acupuncture adopted touch-screen human-machine interface, which is simple to operate. The basic training unit, through multi-angle and multi-dimension adjustment of universal base, could realize the simulation training of warming acupuncture at different acupoints and angles of human body. Each training unit is relatively independent, and relevant parameters are set separately; the relevant parameters information is displayed in real time. The parameters of training unit includes needling time, vibration frequency and vibration time. In conclusion, the teaching training and assessment system for warming acupuncture could be used in the teaching and assessment of warming acupuncture. According to the criteria including operation time and effect, the students' technique ability of warming acupuncture could be evaluated objectively, which is helpful to set teaching objectives and technical operation requirements in warming acupuncture teaching.
Target Cropping: A New Data Augmentation Method of Fine-Grained Image Classification

In this paper, we propose a novel data augmentation method of fine-grained image classification named target cropping. Previous work has demonstrated the effectiveness of data augmentation through simple technique, such as random cropping, image rotating and image flipping. But for fine-grained classification, due to its inter-class similarity and intra-class differences, traditional random cropping does not pay much attention to the discriminative regions and even may crop out the regions that have a critical impact on the classification results. To solve this problem, we propose target cropping which uses class activation maps to locate discriminative region. Compared with random cropping, our method significantly improves classification accuracy for all the tested datasets. For example, classification accuracy is improved from 71.1% to 73.9% for CUB200-2011 dataset with VGG-16 and from 77.2% to 79.0% in the FGVC-Aircraft dataset. It is a significant improvement in fine-grained image classification field.
A Hybrid Architecture for Building Energy Optimization

Commercial buildings account for 15 percent of total energy consumption in the US alone. Owners and operators of large commercial properties have accordingly installed energy-saving devices and subsystems (such as sensors and controllers) within their building environments. They have also invested in building management software (BMS) to operate as master-controllers for these devices and subsystems. Unfortunately, current BMS implementations make it challenging to sustain optimal performance of these installed energy-saving devices and subsystems. In response, we propose a hybrid model that includes both cloud and on-premise components. This hybrid model: (i) virtualizes BMSs to overcome proprietary interfaces; (ii) offers uniform cloud data models to address inconsistent data representations; and (iii) manages global authentication to expand limited stakeholder access. The model employs an infrastructure â€œmiddle layerâ€ (which we call GeoBMS) that connects the â€œtop layerâ€ of building performance applications with the â€œbottom layerâ€ of existing BMS implementations. By reusing existing on-premise BMS implementations, our hybrid model protects existing investments and accelerates deployments. We offer a simple â€œproof of conceptâ€ application (which we call EnergyOptimizer) to validate GeoBMSâ€™s capabilities using a museum floorplan as a case example.
Resource provision in private academic libraries in India: Challenges, opportunities, and innovations

Invited Paper presented in 2nd LIS Academy National Conference on Innovations in Libraries, held at Visvesvaraya Technology University, Balagavi, Karnataka June 2019.
Libraries: Spaces to find primary sources in the sciences vs. humanities [poster]

Poster presented at NCLA October 18, 2019. While primary sources refer to sources that contain original information, the distinction varies between subject areas and disciplines. Journal articles are considered secondary sources in the Humanities because they may discuss, critique, or analyze an author’s original creative work, while they may be a primary source to a biologist. Similarly, many newspaper articles are considered primary sources within the discipline of History because they report events as they are happening, contrasting the sciences, where newspaper articles are never used as sources. When identifying primary sources, it is important to remember that the various forms the source could take is not what matters, but whether it contains original information or creative works for that discipline.This poster will explain the differences in primary and secondary sources across subject areas, focusing on contrasting the definitions within science and humanities disciplines.
Applying Matching Coefficients in the 2D Stick-Model to Classify Human Motion: An Experimental Study in Applied Mathematics

Abstract Recently, different techniques have been employed toward motion estimation. Some of these approaches include image based, model based, and silhouette based estimations. Despite their promising nature and outcomes, it remains notable that the techniques rely on motion data quality before producing optimal classification with precision and accuracy. Also, most of the existing algorithms have been complex relative to motion estimation, making interpretation challenging. Therefore, this study strived to respond to these dilemmas by modeling simple human motions through which various patterns of activity behavior could be recognized and aid in classification analyses. Three body components were used to develop the framework. These components included the lower body (LB), the upper body (UB), and the backbone (BB). Indeed, it was through these parts that a simple 2D human stick figure was formed. It is also notable that upon completion, the motion estimation mathematical model was compared to the performance of real motion phases to determine its efficiency in classification. The classifiers to which the model’s performance was compared included Rules and Tress, Misc, Meta, Function, Lazy, and Bayes classifiers. From the results, it was established that the 2D stick-model matching estimation was feasible and could be used to play a crucial rule in analyzing human motion classification.
Semi-supervised Autoencoding Projective Dependency Parsing

We describe two end-to-end autoencoding models for semi-supervised graph-based projective dependency parsing. The first model is a Locally Autoencoding Parser (LAP) encoding the input using continuous latent variables in a sequential manner; The second model is a Globally Autoencoding Parser (GAP) encoding the input into dependency trees as latent variables, with exact inference. Both models consist of two parts: an encoder enhanced by deep neural networks (DNN) that can utilize the contextual information to encode the input into latent variables, and a decoder which is a generative model able to reconstruct the input. Both LAP and GAP admit a unified structure with different loss functions for labeled and unlabeled data with shared parameters. We conducted experiments on WSJ and UD dependency parsing data sets, showing that our models can exploit the unlabeled data to improve the performance given a limited amount of labeled data, and outperform a previously proposed semi-supervised model.
Políticas públicas para prevenir el delito: el acoso escolar desde el contexto de cuatro escuelas primarias en Ciudad Juárez, Chihuahua

espanolAnte la emergencia del escenario social configurado por el narcotrafico y sus consecuencias violentas, sobre todo en sectores vulnerables y altamente excluidos, el fenomeno del acoso escolar reclama atencion de actores e instituciones involucradas en proponer alternativas para su solucion. En esta investigacion se considera fundamental analizar el entorno en el que se desarrollan las escuelas y sus estudiantes. Examina el contexto socioeconomico de cuatro escuelas primarias publicas localizadas en Ciudad Juarez, Mexico, con el objetivo de dar a conocer la influencia de los elementos externos que se presentan en los planteles educativos por el acoso escolar entre pares. Debatir sobre el contexto socioeconomico contribuye a edificar un escenario holistico sobre el tema en el que principalmente se ha abordado desde perspectivas internas a las instituciones EnglishFaced with the emergence of the social scenario shaped by drug trafficking and its violent consequences, especially in vulnerable and highly excluded sectors, the phenomenon of bullying requires the attention of actors and institutions involved in proposing alternatives for its solution. In this research it is considered essential to analyze the environment in which schools and their students develop, so, this work seeks student analysts. It examines the socioeconomic context of four public elementary schools located in Ciudad Juarez, Mexico, with the objective of making knowing the influence of elements external that are presented in educational establishments in peer bullying. Debating about the socioeconomic context contributes to building a holistic scenario on the subject, in which has mainly been approached from internal perspectives of the institutions