Reviewerly/exHarmony huggingface dataset:
Urban atmospheres and felt-bodily resonances

The urban atmosphere is the polysensorial“skin” of the city, conceived as a real biotopic-psychotopic landmark radiating special affordances.Inspired by the affective externalismadvocated by Pathic Aesthetics and the NewPhenomenology, the paper surveys the globalatmosphere of a city as a more spatial stateof the world than a very private psychic state.Based on an approach that de-axiologises thenotion of atmosphere and proposes an inflationaryontology not reducible only to thingsand events, the paper discusses first the maintypes of atmospheric encounter (overwhelming,syntonic, merely contemplative, elicitinga reaction or an affective inversion, changingover time), then some specific types of architecturalaffordances and gestures suggestingcertain behaviors and moods, finally criticizesthe usual idea according to which an urban atmospheremust necessarily mean either a organicisticfamiliarity or an avant-garde subversionof the social space.
МОРФОЛОГИЧЕСКИЕ ОСОБЕННОСТИ И ХИМИЧЕСКИЙ СОСТАВ ХРОМШПИНЕЛИДОВ СЮЛЬДЮКАРСКОГО КИМБЕРЛИТОВОГО ПОЛЯ (ЗАПАДНАЯ ЯКУТИЯ)

Cromospinelides of Paleozoic sediments Syuldyukar kimberlitic field are substantially different from Syuldyukar kimberlite body (An. T-54/14) those. The application Random Forest algorithm to chemical composition data array shows maximum of similarity with array from TSNIGRI pipe.
Penggunaan Data Mining Algoritma Apriori Pada Sistem Laporan Rincian Barang Persedian ATK Di Kantor Bpbd Pematangsiantar

Pematangsiantar BPBD Office is one of the government agencies engaged in Regional Disaster Management where this agency must meet operational standards every day and be guided to make the right decisions in determining the purchase of disaster needs. By utilizing the purchase transaction data that has been stored in the goods purchase report or the entry of the number of items that have been reported by the secretary in the report. How to find out which items are purchased simultaneously, can be used association rule, which is a data mining technique to find rules association of a combination of items. The association search process uses the aid of a priori algorithm to generate pattern combinations of items and rules as knowledge and important information from purchase transaction data. The results of this study are in the form of an application to analyze spending patterns in which the resulting patterns can be used as recommendations in determining purchasing strategies by the Pematangsiantar BPBD Office.
Media Control Using Hand Gestures

The corporate world today basically relies on presentations of ideas and statistics. In the board room, the presenters are highly conscious of depicting confidence in their presentation. This would entail accessibility and mobility to the presenter or media viewer. As the extent of Artificial Intelligence is increasing in all directions, I am utilizing its extreme capabilities to create a software that would help in accessibility and save time and money. This paper describes software written in Python 3.8 and makes use of Python libraries like OpenCV and PyAutoGUI to receive input from the computer’s Webcam and recognize gestures to control the PowerPoint Presentation and Portable Document Format (PDF) files or the Media Control. The user interface is built with the Python library PyQt5. This paper aims are to help people control their Presentations and Portable Document Format (PDF) files, and many other media through their hand gestures, without using a mouse or any other pointing device. The software would not require any other external hardware; hence it would not burn a hole in people’s pockets.
Secure Channel for Sharing Datasets by using Privacy-Preserving Integration Method

In privacy-enhancing technology, it has been inevitably challenging to strike a maintain balance between privacy, efficiency and usability (utility). We propose a highly practical and efficient approach for privacy-preserving integration and sharing of datasets among a group of participants. At the heart of our solution is a new interactive protocol, Secure Channel. Through Secure Channel, each participant is able to randomize their datasets via an independent and untrusted third party, such that the resulting dataset can be merged with other randomized datasets contributed by other participants group in a privacy-preserving manner. Our process does not require any public or key sharing between participants in order to integrate different datasets. This, in turn, leads to a user can understand and use easily and scalable solution. Moreover, the accuracy of a randomized dataset which are returned by the third party can be securely verified by the other participant of group. We further demonstrate Secure Channel’s general utilities, using it to construct a structure preserving data integration protocol. This is mainly useful for, good quality integration of network traffic data.
ANALYSIS OF DETERMINATION OF TRY OUT MATHEMATICS SKILLS OF STUDENTS IN IPA 1 SMA N 1 KECAMATAN WITH CLUSTERING METHODS - MEANS

In this study aims to analyze the determination of the ability of TRY OUT Mathematics students majoring in Natural Sciences in SMA N.1 Kecamatan to get an information that is useful for schools in determining students based on their grades. In processing these data we use data mining with the K-Means Algorithm Clustering Method. Data Mining is extracting information from a large amount of data. The information that was obtained was in the form of groups of students with high grades, medium grades and low grades. The test that we do uses the existing application, RapidMiner, so that it can be determined by the desired student clusters
Creating a map

Creating a map Team Fortress 2 currently has 112 official (community + Valve-made) [[ |maps]] but this is not nearly enough! Some maps are played more than others, and you don't see the fun in them anymore. Sadly, since 2017, only Halloween maps are added in the game as part of Scream Fortress updates (and who knows for how long Scream Fortress will be an official thing).
This Japanese billionaire lost $130 million on bitcoin

Softbank founder Masayoshi Son reportedly dove head first into the bitcoin craze during its peak in 2017.
CO 2 레이저를 사용한 피조 간섭계의 광학장치 설계

Optical methods for measuring three-dimensional shape or out-of-plane displacements allow for real-time measurement of the entire area of the object in a non-contact manner. In this paper, in order to expand the sensitivity range of measurement of visible Fizeau interferometry using the He-Ne laser, we constructed an Fizeau interferometry using a CO2 laser with a wavelength of 10.2 μm. To this end, detailed configuration and arrangement of lens arrays were estimated and their optical setup was designed. To overcome the limitations of optical lens specifications using ZnSe material, we devised an array using two planar-convex lenses. The optical arrangement was designed by placing the second plano-convex lens at the distance before the laser light passing through the first lens converges to a point.
Exercises Using Musical Instruments

This section requires the use of musical instruments for all the exercises, some for soloists and others for ensembles of various sizes. All of these exercises are improvisations, yet the focus is not on the idea of improvisation itself, but on specific dramatic or emotional goals. Improvisation in this chapter may signify dramatic rather than musical improvisation. Several of the exercises address the art of interpretating existing music and require spontaneity and imagination but do not ask for the participant to improvise music. Acting techniques, such as those developed by the Group Theater, are here repurposed for musicians in order to address aspects of memory, emotion, and imagination and to inspire new ways of thinking about performing, such as playing with the actor’s concept of subtext or gibberish from a musician’s perspective. New exercises included here are inspired by sampling and robots, plus a new series of exercises in this edition includes the improv comedy techniques of Nichols and May as a template for musical spontaneity.
DEVELOPMENT OF INTERACTIVE MEDIA BASED ON ANDORID DUE TO INCREASE BIOLOGY SCORE RESULT IN HIGH SCHOOL

Abstract . Biology learning is learning that can be done through objects, natural objects, and processes in discovering biological concepts. In presenting Biology subjects, the selection of the right media is needed so that all messages can be received for students. This type of research is a type of development research. Research suggestions are used in research on developing learning models or R&D (Research and Development). Android interactive media development adapts the ADDIE model. Research instruments with tests and questionnaires. The results showed an increase in experimental class student learning outcomes from 74.4 to 87.2 while the control class did not experience a significant increase from 73.3 to 76.3, it can be concluded that this Android-based interactive learning model is good and feasible to be used as a new learning model in schools. Abstrak. Pembelajaran biologi adalah pembelajaran yang dapat dilakukan melalui objek, objek alami, dan proses dalam menemukan konsep biologis. Dalam menyampaikan mata pelajaran Biologi, pemilihan media yang tepat diperlukan agar semua pesan dapat diterima untuk siswa. Jenis penelitian ini adalah jenis penelitian pengembangan. Saran penelitian digunakan dalam penelitian tentang pengembangan model pembelajaran atau R&D (Penelitian dan Pengembangan). Pengembangan media interaktif android mengadaptasi model ADDIE. Instrumen penelitian dengan kuesioner dan tes. Hasil penelitian menunjukkan peningkatan hasil belajar siswa kelas eksperimen dari 74.4 menjadi 87.2 sedangkan kelas kontrol tidak mengalami peningkatan signifikan yaitu dari 73.3 menjadi 76.3, sehingga dapat disimpulkan bahwa model pembelajaran interaktif berbasis Android ini baik dan layak untuk digunakan sebagai model pembelajaran baru di sekolah.
Coca-Cola pauses paid advertising on social media platforms

The decision was announced amid growing calls for a boycott of Facebook over its policies on hate speech.
PREPARATION OF PRACTICAL PLANNING WITH SCIENTIFIC CONTENT FOR EDUCATIONAL UNIT FOR THE SCHOOL MARIA LUISA DE SOTO-MAYOR""

Este trabajo se realizo como resultado de la encuesta aplicada en la que se determina que los alumnos en su mayoria no disponen de internet o aparatos electronicos para desarrollar el proceso de ensenanza aprendizaje; por lo que nos plantemos el objetivo de implementar planificaciones practicas fisicas con contenido cientifico que permitan al estudiante alcanzar el aprendizaje ante la emergencia por COVID-19. Los metodos utilizados fueron el inductivo deductivo y tecnicas como la encuesta. En esta investigacion se dio una trilogia que fue muy bien aprovechada para conseguir buenos resultados en el campo de la educacion, por una parte, estuvieron los programas educativos impartidos por el Ministerio que fueron muy bien aprovechados para elaborar las planificaciones y estas fueron entregadas a los alumnos de la para Unidad Educativa “Maria Luisa de Sotomayor” que no tenian acceso a internet.Palabras clave: Planificaciones, contenido cientifico, crisis COVID. ABSTRACTThis work was carried out as a result of the survey applied in which it was determined that most of the students do not have internet or electronic devices to develop the teaching-learning process; therefore, we set the objective of implementing practical physical planning with scientific content that will allow the student to achieve learning in the face of the COVID-19 emergency. The methods used were inductive-deductive and techniques such as the survey. In this research there was a trilogy that was very well used to achieve good results in the field of education, on the one hand, there were the educational programs provided by the Ministry that were very well used to develop the plans and these were delivered to the students of the Educational Unit Maria Luisa de Sotomayor who did not have access to the Internet. Keywords: Planning, scientific content, COVID crisis.
Quantum Dot Single-Photon Emission Coupled into Single-Mode Fibers with 3D Printed Micro-Objectives

We demonstrate the on-chip integration of a deterministically fabricated quantum dot micro-lens, a 3D-printed micro-objective and a single-mode fiber-coupler. The resulting quantum device has a broadband photon extraction efficiency with a coupling efficiency of 22%.
Enhancing the Achievement of Subject-Verb AgreementAmong the Year 5 Students Using Word Bricks Game

The purpose of this study is to investigate the achievement of Subject-VerbAgreement among Malaysian students of year 5 using the Word Bricks Gameand the students’ perception towards learning Subject-Verb Agreement usingWord Bricks Game. Subject-Verb Agreement is unavoidably necessary formastering English language which is taught as a second language in Malaysia.Students who study English at a young age with simple and correct systemswould be successful communicators in the future. Students can only interactefficiently in restricted circumstances if they do not learn Subject-VerbAgreement. Furthermore, Subject-Verb Agreement is regarded as a vitalcomponent of the study of language and ideas. Subject-Verb Agreement, inreality, aids humans in analysing and describing their words. Word Bricks Gamewas used to enhance the achievement of Subject-Verb Agreement sincestudents who used games to learn felt more inspired and excited about theirwork. Qualitative research design is used in this study. The participantscomprised of 40 students from a primary school in Kuala Lumpur. Observationand interview were used as the methods for data collection. Findings includethe interview responses from the year 5 students and opinions shared by someEnglish teachers, and researchers’ observations of the learning process ofSubject-Verb Agreement using Word Bricks Game. The findings showed thatyear 5 students have positive perceptions towards the learning of Subject-VerbAgreement using Word Bricks Game. They also have high-level of acquisitionof Subject-Verb Agreement using Word Bricks Game in the learning process. Inaddition, English teachers shared their opinions on the important criteria of thegames which should be considered before teaching Subject-Verb Agreement. (Abstract by authors)
Revisión de la implantación del m-learning como método de aprendizaje en España en los niveles educativos de primaria y secundaria

espanolGracias a los avances en las tecnologias de la comunicacion y la informacion (TIC), la sociedad actual se encuentra inmersa en un proceso de digitalizacion. La educacion, como elemento clave de la sociedad, no debe ser ajena a este proceso y debe implementar estos avances como parte de las metodologias de ensenanza-aprendizaje. En este sentido, la metodologia m-learning hace uso de los dispositivos moviles para desarrollar el proceso de ensenanza aprendizaje. Para analizar el grado de implantacion del m-learning como metodo de aprendizaje en el sistema educativo espanol, este trabajo ha realizado una investigacion bibliografica, localizando los textos cientificos publicados en el periodo entre el ano 2015 y el ano 2019, en los cuales se analiza la implementacion del m-learning en el ambito de la educacion primaria y secundaria espanola (como metodologia global adaptada por el claustro de profesores en el centro educativo). Se concluye que el m-learning fomenta la motivacion del alumnado, las competencias transversales y especificas, asi como permite una mejor atencion a la diversidad. Del mismo modo, el m-learning tiene el potencial suficiente para convertirse en un metodo de aprendizaje eficiente que consiga mejorar el rendimiento academico de los discentes. EnglishThanks to advances in information and communication technologies (ICT), today's society is immersed in a process of digitization. Education, as a key element of society, should not be alien to this process and should implement these advances as part of the teaching-learning methodologies. In this sense, the m-learning methodology makes use of mobile devices to develop the teaching-learning process. To analyze the degree of implementation of m-learning as a learning method in the Spanish educational system, this work has carried out a bibliographic research, locating the scientific texts published in the period from 2015 to 2019, in which the implementation of m-learning in the Spanish primary and secondary education is analyzed (as a global methodology adapted by the teaching staff in the educational center). It is concluded that m-learning encourages student motivation, transversal and specific competences, as well as allows better attention to diversity. In the same way, m-learning has enough potential to become an efficient learning method that manages to improve the academic performance of students.
Certified Robustness to Adversarial Examples with Differential Privacy

Adversarial examples that fool machine learning models, particularly deep neural networks, have been a topic of intense research interest, with attacks and defenses being developed in a tight back-and-forth. Most past defenses are best effort and have been shown to be vulnerable to sophisticated attacks. Recently a set of certified defenses have been introduced, which provide guarantees of robustness to norm-bounded attacks. However these defenses either do not scale to large datasets or are limited in the types of models they can support. This paper presents the first certified defense that both scales to large networks and datasets (such as Google’s Inception network for ImageNet) and applies broadly to arbitrary model types. Our defense, called PixelDP, is based on a novel connection between robustness against adversarial examples and differential privacy, a cryptographically-inspired privacy formalism, that provides a rigorous, generic, and flexible foundation for defense.
Segmentation of brain tumour in 3D Intraoperative Ultrasound imaging

Intraoperative ultrasound (iUS), using a navigation system and preoperative magnetic resonance imaging (pMRI), supports the surgeon intraoperatively in identifying tumour margins. Therefore, visual tumour enhancement can be supported by efficient segmentation methods.A semi-automatic and two registration-based segmentation methods are evaluated to extract brain tumours from 3D-iUS data. The registration-based methods estimated the brain deformation after craniotomy based on pMRI and 3D-iUS data. Both approaches use the normalised gradient field and linear correlation of linear combinations metrics. Proposed methods were evaluated on 66 B-mode and contrast-mode 3D-iUS data with metastasis and glioblastoma.The semi-automatic segmentation achieved superior results with dice similarity index (DSI) values between [85.34, 86.79]% and contour mean distance values between [1.05, 1.11] mm for both modalities and tumour classes.Better segmentation results were obtained for metastasis detection than glioblastoma, preferring 3D-intraoperative B-mode over 3D-intraoperative contrast-mode.
The role of the teacher of Italian in the new curriculum of “Educazione civica”

This contribution proposes some teaching units that can be developed by the teacher of Italian in the lower secondary schools within the new curriculum of “Educazione civica”.
Reputation-based business policy violation detection of long-term composed services with efficient alleviation of malicious rating of violated service

The web services are the emergent technology in the field of business processes where the services offered by the organisation are managed through the framework called change management framework (CMF). By this framework any changes for the service offered by the organisation can be added, modified or replaced in the form of the service request offered by either the customer or other business parties thus it is helpful for the organisation to develop itself by satisfying the customer requirements in an autonomous manner. In this paper, we have presented a methodology for detecting the business policy violation with alternating Turing machine (ATM) and reputation measurement (RM). When a change request is encountered the detection of policy points is performed by ATM and if the policy violation occurs, it means reputation of the service is measured through RM by considering malicious intentions. In the case of non-policy violation or if the service has high reputation means that become integrated to the CMF otherwise it will be sent to the exception handler. The framework is implemented in the visual studio with DOTNET language and the performance is analysed with a different number of change requests.
Keefektifan Strategi Writing Story Based on Picture/Photograph dan Summary Writing dalam Pembelajaran Menulis Teks Eksplanasi Kompleks pada Siswa Kelas XI SMAN 10 Yogyakarta

writing a story based on a picture/photograph, keefektifan, menulis, strategi, teks, eksplanasi kompleks, summary writing
Visual Object Tracking Method of Spatio-temporal Context Learning with Scale Variation

In the development of image processing and computer vision field, visual tracking is considered as an attractive research field in regard to its practical characteristic in security surveillance, computer–human based interaction, motion and activity recognition in health care or control systems, etc. In a typical visual tracking model, the most difficult task is to handle the changes in the target objects' appearances and their surrounding backgrounds. As a matter of fact, if the changes are severe, information extracted to detect the object in interest will be limited. In this paper, we enhance the robustness of a tracking model to adapt to these changes and increase the tracking accuracy level by exploiting local context information. In particular, the study implements an efficient tracking model that utilizes the spatio-temporal context information. The context model relation of the tracking target with its surrounding background is generated by computing a devolution task due to its spatial correlation. Then, the analyzed relationship is exploited to update a spatio-temporal context in subsequent frames. The tracking process is computed using a confidence map by integrating the information within the spatio-temporal context. The model also implements the exhaustive scale estimation method to calculate the target's scale characteristic changes while maintaining computational efficiency. Finally, the TB-100 dataset is applied to evaluate the performance of the model.
Faithful Simulation of the XY Hamiltonian with Laser Networks

We introduce a Lyapunov function for a network of dissipatively coupled lasers and show that this cost function reduces to the classical XY Hamiltonian in the large gain limit.
Progressive Growing Generative Adversarial Networks

GANs are effective at generating crisp synthetic images, but are limited in size to about 64 × 64 pixels. A Progressive Growing GAN is an extension of the GAN that enables training generator models to generate large high-quality images up to about 1024 × 1024 pixels (as of this writing). The approach has proven effective at generating high-quality synthetic faces that are startlingly realistic.