Reviewerly/exHarmony huggingface dataset:
Pedagogical Retrofit Applied to the Experiment "Moving Boundary Method"

The number of students enrolled in higher education institutions has increased in recent years, which can be explained by the public policies to expand this sector.However, as in Basic Brazilian education, higher education also presents a scenario full of problems, including dropout.The exact science courses have the worst statistical numbers related to the abandonment, including the courses related to Chemistry.Among the problems, the difficulty of learning and the high degree of abstraction could be highlighted, which can be minimized using instigating experimental activities.In the specific field of electrochemistry, it is verified that students have difficulty understanding and there is a scarcity of materials with different approaches to be used in this theme, other than the assembly of batteries.Regarding the use of experimentation, when discussing concepts of mobility and conductivity of ions in solution, one possibility is the determination of the transport number, which is defined as being the fraction of current transported by each type of ion in solution and can be determined by different methods.Thus, the objective of this work was to implement an experiment to determine the number of transport, based on the reverse pedagogical planning, of a hydrochloric acid solution by the moving boundary method, to be used in experimental disciplines of physical chemistry.The main products generated were the construction of the experimental device and the preparation of an experimental support script for the student.In the development of this work, different results were highlighted than expected, and these situations present themselves as rich opportunities to discuss different subjects related to the theme and that can be promoted by the teacher during classes.Some epistemological challenges brought by students can be overcome or deconstructed through these unexpected situations, and it is important to highlight this aspect.The occurrence of these situations can be provoked, including variables in the script, and can contribute to the stimulation of curiosity and the development of students' reasoning for problem solving and that the professor evaluates the results of the application and perform a pedagogical retrofit of the experiment.
A multi-scale language embedding network for proposal-free referring expression comprehension.

Referring expression comprehension (REC) is a task that aims to find the location of an object specified by a language expression. Current solutions for REC can be classified into proposal-based methods and proposal-free methods. Proposal-free methods are popular recently because of its flexibility and lightness. Nevertheless, existing proposal-free works give little consideration to visual context. As REC is a context sensitive task, it is hard for current proposal-free methods to comprehend expressions that describe objects by the relative position with surrounding things. In this paper, we propose a multi-scale language embedding network for REC. Our method adopts the proposal-free structure, which directly feeds fused visual-language features into a detection head to predict the bounding box of the target. In the fusion process, we propose a grid fusion module and a grid-context fusion module to compute the similarity between language features and visual features in different size regions. Meanwhile, we extra add fully interacted vision-language information and position information to strength the feature fusion. This novel fusion strategy can help to utilize context flexibly therefore the network can deal with varied expressions, especially expressions that describe objects by things around. Our proposed method outperforms the state-of-the-art methods on Refcoco, Refcoco+ and Refcocog datasets.
CampusGuides: ENGL 101 - Montgomery Bus Boycott - Blaker: Evaluating Secondary Sources for Credibility

This guide will support Prof. Rhona Baker's ENGL 101 course and their research assignment on the Montgomery Bus Boycott. this page will explain how to know if a source is credible.
Motivation Of Research And Innovation Activities At The University Through The Practice Of Effective Contract [Мотивация Научно-Инновационной Деятельности В Вузе Посредством Практики Эффективного Контракта]

The article considers the role of an effective contract as a flexible tool for motivating research and innovation activities of the University's teaching staff. The analysis of the components of an effective contract, which are the most important criteria for evaluating the effectiveness of an individual scientific and pedagogical worker, and the educational organization as a whole, is carried out. The characteristics of criteria for evaluating labor efficiency are revealed. The article presents the results of the influence of effective contract practice on the specification of working conditions and conditions, improving the competitiveness of educational institutions, creating a healthy socio-psychological climate, corporate environment, and motivating the development of creativity in professional activities. The author substantiates the hypothesis that with the implementation of effective contracts, there will be institutional changes in the University environment.
Studio geologico di pit e coni nel quadrangolo Derain (Mercurio): correlazione tra attività vulcanica esplosiva e tettonica di tipo contrazionale.

The research has been focused on the relationship between styructural setting and volcanic pit and conese on Derain quadrangle (Mercury). The analysis has included remote sensing geological interpretation on MESSENGER data within GIS environment.
Uncertainty-Aware Signal Temporal logic.

Temporal logic inference is the process of extracting formal descriptions ofsystem behaviors from data in the form of temporal logic formulas. The existingtemporal logic inference methods mostly neglect uncertainties in the data,which results in limited applicability of such methods in real-worlddeployments. In this paper, we first investigate the uncertainties associatedwith trajectories of a system and represent such uncertainties in the form ofinterval trajectories. We then propose two uncertainty-aware signal temporallogic (STL) inference approaches to classify the undesired behaviors anddesired behaviors of a system. Instead of classifying finitely manytrajectories, we classify infinitely many trajectories within the intervaltrajectories. In the first approach, we incorporate robust semantics of STLformulas with respect to an interval trajectory to quantify the margin at whichan STL formula is satisfied or violated by the interval trajectory. The secondapproach relies on the first learning algorithm and exploits the decision treeto infer STL formulas to classify behaviors of a given system. The proposedapproaches also work for non-separable data by optimizing the worst-caserobustness in inferring an STL formula. Finally, we evaluate the performance ofthe proposed algorithms in two case studies, where the proposed algorithms showreductions in the computation time by up to four orders of magnitude incomparison with the sampling-based baseline algorithms (for a dataset with 800sampled trajectories in total).
TTUHSC El Paso Library: Introduction to Library Databases: "Which Database do I Use" Handout

The TTUHSC El Paso Library subscribes to over hundred online databases. This guide is designed to help you select the appropriate database for your research.
Feature Based Deep Retinex for Low-Light Image Enhancement

Low-light image processing is a common issue in industry, media and other practical application fields. Enhancing image brightness or contrast directly may bring accompanying noise and color cast. The proposed method is a feature based deep F-Retinex-Net. A neural network is used to decompose the image into features representation of reflectance component and illumination component. The feature of illumination component was enhanced, and then the features are used to reconstruct the enhanced image by another network. The convergence of the observation model is confirmed by observing the state of illumination and reflectance features by visualization method. Experimental results show that F-Retinex-Net has better performance enhancement effect than Retinex-Net, and can also greatly alleviate the color distortion problem.
Efficient Prediction of Anomaly Detection Using Machine Learning Algorithms

In recent days, most threaten issue is Anomalous detections that has to be recognized as early as possible in order to avoid the unexpected suspicious observations. So, anonymous rule generation process should be developed to accomplish this task for early prediction of this issue from the database. The existing work Rule Pruning based Anomalous Rule Detection strategy (RPARD), concentrated much on this issue and attained its best. Here, the rule pruning is done through the stepwise regression analysis method. Special attention has to be given for the inconsistencies and inherent problem of multiple hypotheses testing in Stepwise regression. So, in our proposed work Lasso Regression based Improved Anomalous Detection Scheme (LR-IADS) was given to rectify and assure the optimal unexpected suspicious detection. Here, fuzzy anomalous rule were created initially with the help of attributes that are chosen from the data base. On the basis of Gini index, information gain and gain ratio, we choose the attributes here, and lasso regression analysis method helps to do the rule pruning on the generated anomalous rules. At last, unexpected suspicious detection is done according to these anomalous rules by commencing the classification process and it is performed by Enhanced Relevant Vector Machine based Association Classifier. Through MATLAB simulation environment, the simulation process is done and it is confirmed from the experiment that our proposed work LR-IADS assures better prediction result when compared with the earlier RPARD method.
Subject & Research Guides: Open Data Sets and Visualization Resources: Open Data Sets by Topic

Locate and use open source numeric, statistical, geospatial, and qualitative data sets by topic. Explore data visualization methods, techniques, and resources to help discover patterns in the data that may not be clear from statistics alone.
Jenis Alih Kode dan Campur Kode dalam Interaksi Pembelajaran Bahasa Indonesia Kelas VIII di SMPN 3 Colomadu

Language as a means of communication shows that people do not only possess the use of one language, but they have used two or more languages. Code switching is a linguistic phenomenon that is sociolinguistic and mixing code often occurs in community conversations, both family environment, and school environment that can occur in Indonesian language learning. This research aims to describe the type of code and Fakor causes code and code type factor and the factors that cause code in Bahasa Indonesia study in class VIII G in SMPN 3 Colomadu, Karanganyar. The method used in this research is a qualitative descriptive method. The design of this research is to analyse the speech used by Indonesian teachers and students in code swiching and code-mixing. The results of this research researcher get two types of code instead of: instead of an extenern code and instead of an internal code. Instead of the Extenern code there are 6 data. Instead the code that occurs is the code out of the English language and instead of the code outside the Arabic language Instead of an internal code, there are 19 data teachers and students use in learning Bahasa Indonesia in the classroom VIII G. The code is instead of the Javanese language code used by both teachers and learners. Factors of causation of code: a factor of speakers; The opposing factor; and basic factors of discussion include formal and informal. Researchers get two types of code mix: Mix code out (outer code mixing) and mix code into inner code. Interfering with the outer code mixing includes the form of a code mix: basic word; stands for Baster: Arabic-Javanese; and phrases. Mix the outer code in a mix of English and Arabic code. Mixing the code into the inner code) includes the form of a code mix: basic word; The word Jadian: prefixes, suffixes, konfiks; Reword; stands for Phrases Baster: Bahasa Indonesia-Javanese. Factors of the cause of code interfering: factors want to explain something; situation factors; And a factor to establish familiarity between teachers and learners.Keywords: code swiching, mixing code, learning interaction
Explaining Russian-German code-mixing

The study of grammatical variation in language mixing has been at the core of research into bilingual language practices. Although various motivations have been proposed in the literature to account for possible mixing patterns, some of them are either controversial, or remain untested. Little is still known about whether and how frequency of use of linguistic elements can contribute to the patterning of bilingual talk. This book is the first to systematically explore the factor usage frequency in a corpus of bilingual speech. The two aims are (i) to describe and analyze the variation in mixing patterns in the speech of Russia German adolescents and young adults in Germany, and (ii) to propose and test usage-based explanations of variation in mixing patterns in three morphosyntactic contexts: the adjective-modified noun phrase, the prepositional phrase, and the plural marking of German noun insertions in bilingual sentences. In these contexts, German noun insertions combine with either Russian or German words and grammatical markers, thus yielding mixed bilingual and German monolingual constituents in otherwise Russian sentences, the latter also labelled as embedded-language islands. The results suggest that the frequency with which words are used together mediates the distribution of mixing patterns in each of the examined contexts. The differing impacts of co-occurrence frequency are attributed to the distributional and semantic specifics of the analyzed morphosyntactic configurations. Lexical frequency has been found to be another important determinant in this variation. Other factors include recency, or lexical priming, in discourse in the case of prepositional phrases, and phonological and structural similarities and differences in the inflectional systems of the contact languages in the case of plural marking.
Streamlining Oceanic Biogeochemical Dataset Assembly in Support of Global Data Products

&amp;lt;p&amp;gt;Data assembly in support of global data products, such as GLODAP, and submission of data to national data centers to support long-term preservation, demands significant effort. This is in addition to the effort required to perform quality control on the data prior to submission. Delays in data assembly can negatively affect the timely production of scientific indicators that are dependent upon these datasets, including products such as GLODAP. What if data submission, metadata assembly and quality control can all be rolled into a single application? To support more streamlined data management processes in the NOAA Ocean Acidification Program (OAP) we are developing such an application.This application has the potential for application towards a broader community.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This application addresses the need that data contributing to analysis and synthesis products are high quality, well documented, and accessible from the applications scientists prefer to use. The Scientific Data Integration System (SDIS) application developed by the PMEL Science Data Integration Group, allows scientists to submit their data in a number of formats. Submitted data are checked for common errors. Metadata are extracted from the data that can then be complemented with a complete metadata record using the integrated metadata entry tool that collects rich metadata that meets the Carbon science community requirements. Still being developed, quality control for standard biogeochemical parameters will be integrated into the application. The quality control routines will be implemented in close collaboration with colleagues from the Bjerknes Climate Data Centre (BCDC) within the Bjerknes Centre for Climate Research (BCCR).&amp;amp;#160; This presentation will highlight the capabilities that are now available as well as the implementation of the archive automation workflow, and it&amp;amp;#8217;s potential use in support of GLODAP data assembly efforts.&amp;lt;/p&amp;gt;
PERANCANGAN SISTEM INFORMASI POSYANDU BERBASIS WEBSITE PADA POSYANDU APEL DI DESA SUKAMANAH BAROS SERANG BANTEN

At the Apel Posyandu in the village of Sukamanah Baros Serang, Banten, currently there are problems with the processing of toddler data which is still being recorded on paper so that this can slow down the work of posyandu cadres and it is difficult to find the data again so that data duplication can occur so that the resulting data is less accurate. In addition, the delivery of information related to PHBS is still carried out verbally where this can lead to information received by the public, sometimes experiencing delays or ignorance of the information submitted. Posyandu Apel conducts posyandu services every month and is usually done in the middle of the month, however the uncertainty of posyandu services between the seventeenth or eighteenth can confuse mothers under five. The purpose of this research is to design a website-based posyandu information system that contains toddler data, immunization record data, toddler development data so that it can make it easier for posyandu cadres to manage toddler data and make it easier for the public to access information about toddler development, health information and posyandu service schedules. can be done anywhere and anytime. This study uses the waterfall method where the waterfall method has several stages, namely needs analysis, design, programming, testing, and implementation. The result of this research is a website-based information system that can be used by the community in seeing the development of toddlers.
Visual inference of material properties of deformable objects in dynamic environments

Every object is made of certain materials. Visually estimating material properties is a central component of human intelligence because it helps us decide how to interact with an object (e.g., determining the gripping force). Deformable objects such as cloth exhibit their mechanical properties through their interaction with external forces. This thesis aims to understand how dynamic information contributes to the visual estimation of mechanical properties of deformable objects in dynamic scenes.With Multidimensional Scaling Method (MDS), we first determine two orthogonal perceptual dimensions of the physical properties of cloth in dynamic scenes: one is significantly correlated with bending stiffness, and the other best correlates with mass (Chapter 2). Based on this finding, other studies in this thesis investigate the estimation of stiffness and mass separately. In Chapter 3, we discover that humans can achieve an invariant estimation of stiffness but not mass. Moreover, different sets of motion statistics contribute to the perception of these two properties. Next, we specifically search for robust motion features for stiffness estimation. In Chapter 4, we identify an idiosyncratic deformation pattern (i.e., movement uniformity) to differentiate stiffness across multiple optical materials and scenes, which can bereliably measured by six optical flow features. We further provide evidence showing that movement uniformity is a robust cue for stiffness estimation such that directly manipulating this cue can change the perceived stiffness of object. Chapter 5 takes a further look into the role of multi-frame motion information. We suggest multi-frame motion information that is represented by dense motion trajectory is important for humans to visually estimate the stiffness of cloth from videos, and is critical for a machine learning model to predict human perceptual scale. Chapter 6 reveals that in the VR/AR environment, the visual information and haptic feedback interact differently than they do in the real world. Together, this work shows that dynamic information is essential for visual inference of mechanical properties of deformable objects. We also identify several robust motion cues for estimating the stiffness of cloth.%%%%Neurosciences%%%%Computer Science%%%%Degree Awarded: Ph.D. Computer Science. American University
Problem learning method in the context of personal creativity development of a musician teacher

In this article the authors consider the phenomenon of creativity as an integrative personal quality of a music teacher, characterizing him from the standpoint of internal freedom, harmony, well-developed creative imagination, readiness to make choices in non-standard situations, independence of own opinion, ability to independently lead productive activity and focus on its result – creation of an original creative product. The obtained qualitatively unique result should be distinguished by novelty, which is the main sign or indicator of creative activity in general. Consequently, in order to develop the creativity of an individual in the process of organizing educational activities, it becomes necessary to use creative teaching methods. The process of developing creativity in course of increasing vocal experience consists of purposeful interaction of musical art, co-creation of a teacher together with a student in adequate conditions with the use of effective methods of problem-based learning and choosing situations for realizing the creative potential of a student.
Kapasitas Organisasi dalam Penyelenggaraan Kearsipan di Dinas Perpustakaan dan Kearsipan Kota Bandar Lampung

Archives in administrative activities have a very important role, one of its functions is as the center of the nation's memory and evidence of legal accountability. However, the implementation of archiving in Indonesia, especially local governments, is currently still less than optimal. In 2017, the organization of archiving in Indonesia received the predicate of 93% in bad condition, for this reason, adequate organizational capacity is needed. Organizational capacity is the ability that an organization has that is useful for solving problems and can achieve the goals set. This research was conducted at the Department of Library and Archives of Bandar Lampung City with the aim of identifying and analyzing these offices in organizing archives. The method used in this research is descriptive qualitative with data analysis techniques derived from observation, documentation and in-depth interviews. The results of this study are described based on the components of organizational capacity consisting of human resources, infrastructure, technology, financial resources, leadership strategies, program and process management, cooperation and relationships with other parties. Organizing the archives of the Bandar Lampung City Library and Archives Service has been carried out since 2008. However, archiving has not been carried out optimally because the capacity of the office is inadequate.
Formal methods for responsibility reasoning in multiagent systems

Safe and reliable deployment of collaborative AI-human multiagent systems requires formal semantics and verifiable tools to reason about forward-lookingresponsibilities of agents (e.g., who can/should ensure some properties in prospect) aswell as their backward-looking responsibilities (e.g., who to blame, praise, or see accountable for an already materialized outcome in retrospect) [3, 2, 1]. Modeling andreasoning about responsibility calls for capturing its strategic, epistemic, and normativeaspects for which the community of formal methods possesses apt semantic systemsand reasoning tools. In this talk, we report on a line of research on the application offormal methods and modal logics for reasoning about different forms of responsibilityin multiagent systems [4, 5, 6]. In addition, we overview recent work on the application of responsibility reasoning for task coordination, discuss open problems [7], andhighlight the potentials of formal responsibility reasoning in AI systems.