Reviewerly/exHarmony huggingface dataset:
UNDERSTANDING THE TEXT AS A CATEGORY OF PEDAGOGICAL HERMENEUTICS AND A FACTOR OF FORMATION IN STUDENTS OF FUNCTIONAL LITERACY

Transforming under the influence of radical changes in the life of the world as a whole and Russian society in particular, the modern education system in Russia is undergoing significant conceptual changes, mainly due to the unprecedented hitherto technologization of all, without exception, its components - strategy, concept, practice, which is not reflected in the last place in the conceptual apparatus and its content. The goal is to assess the level of formation of textual skills, in particular, understanding of the text, as a condition for improving students' functional literacy. Materials and methods. The number of subjects - 112 people (women), at the age of 17-18 years. An experimental study was carried out among first-year students of the "Pedagogical Education" direction of the profiles "Primary Education", "Primary Education and a Foreign (English) Language using the adapted criteria for assessing the reading literacy of international studies PIZA. The study showed a low level of hermeneutic competence (understanding of the text) among students, which is an indicator of the corresponding degree of functional literacy. Expected results: hermeneutic competence, the gradual formation of which the proposed system of optimization of the educational process in a pedagogical university is aimed at, will significantly increase the level of functional literacy of students-future teachers, which will ensure success in educational, research activities and professional readiness for teaching elementary school students to text skills, first of all, understanding the text. It is obvious that there is a need to optimize the educational process at the university through purposeful systematic work, which ensures the improvement of the textual competence of future primary school teachers as one of the most important components of the functional literacy of the students themselves and the readiness for professional activity in this area.
Las TIC y su apoyo en la educación universitaria en tiempo de pandemia: una fundamentación facto - teórica

En este articulo de revision se pretende fundamentar teoricamente el apoyo de las Tecnologias de la Informacion y Comunicacion (TIC) en el proceso de ensenanza en la educacion universitaria en tiempo de Pandemia, y que estos conocimientos sean puestos en practica incluso despues de la pandemia, puesto que es importante que los docentes sean conscientes del por que, para que y en que momento utiliza las TIC en su labor docente, basado en teorias y enfoques que dan origen a las metodologias y estrategias de trabajo en el aula y fuera del aula. Pera el desarrollo del presente trabajo hemos utilizado el metodo de la Investigacion Bibliografica para lo cual se tuvo que recurrir al analisis de 10 revistas de las cuales 5 son de articulos de resultados originales y 5 son articulos de revision todos ellos relacionados con el uso de las TIC en la Educacion Superior en los diversos contextos a nivel de Latinoamerica; en el desarrollo se identificaron las variables que favorecen el uso de la TIC como apoyo en el proceso de ensenanza universitaria.Palabras clave: TIC, apoyo pedagogico, gestion pedagogica y ensenanza universitaria. ABSTRACTIn this review article it is intended to theoretically support the support of Information and Communication Technologies (ICT) in the teaching process in university education in times of Pandemic, and that these knowledge are put into practice even after the pandemic, since it is important that teachers are aware of why, for what and when they use ICTs in their teaching work, based on theories and approaches that give rise to methodologies and strategies for work in the classroom and outside the classroom. For the development of this work we have used the Bibliographic Research method for which we had to resort to the analysis of 10 journals of which 5 are original results articles and 5 are review articles, all of them related to the use of the ICT in Higher Education in the various contexts in Latin America; During the development, the variables that favor the use of ICTs as support in the university teaching process were identified.Keywords: ICT, pedagogical support, pedagogical management and university teaching.
PERBANDINGAN METODE ALTMAN Z-SCORE, BENEISH M-SCORE-DATA MINING DAN SPRINGATE DALAM MENDETEKSI FRAUDULENT FINANCIAL REPORTING (Studi Empiris Perusahaan Manufaktur Tahun 2014-2018)

Yudi Partama Putra. This study is based on the number of fraud cases that occur both domestically and abroad. Financial reporting fraud that occurs within the company is a major concern throughout the world. This study aims to investigate whether there are significant differences between the Altman Z-score, the beneish m-score - data mining, and springate methods in detecting fraudulent financial reporting. This is quantitative research, and the data used are secondary data. The population of this study is Manufacturing companies listed on the Indonesia Stock Exchange in 2014-2018. Sample is selected by using purposive sampling method so that there are 26 companies to be the samples. The analysis technique of this study is Regression Analysis on Partial Least Square using SmartPLS. The results of this study indicate that altman z-score and springate have a positive and significant effect on fraudulent financial reporting, while the beneish m-score-data mining has no effect on the fraudulent financial reporting. However, of the three methods, the Altman Z-score method is more influential in detecting the fraudulent financial reporting than the Springate method.&#x0D; Keywords: Altman Z-Score, Beneish M-Score - Data Mining, Springate, Fraudulent Financial Reporting
The Development of Android-Based Map Media on Indonesian Ethnic and Cultural Diversity

Social studies learning in the revolutionary era 4.0 should use digital maps to visualize the conditions of the earth's surface so that students interpret social studies subject matter more clearly. This study aims to develop a map media product based on the android application "ethnic and cultural diversity". This type of research is research and development using the Borg and Gall model. The stages are (1) research and information gathering, (2) planning, (3) initial product development, and (4) preliminary testing. Collecting data in this study using a validation questionnaire of the feasibility of map media products based on android applications. Data analysis in this research is the feasibility analysis of map media products based on android applications. The result of this research is the development of map media based on android application material on ethnic and cultural diversity that is suitable for use in social studies subjects has been validated by experts and declared "feasible" to be used. The author suggests teachers use android-based map media development products for ethnic and cultural diversity in social studies subject for class VII SMP / MTs in order to answer the challenges of technology-based 21st century learning in the current era of industrial revolution 4.0
MEDIA PEMBELAJARAN TEMATIK “PAPAN ACAK KATA” UNTUK MENINGKATKAN KEMAMPUAN MEMBACA  SISWA KELAS VB SD N 2 PADOKAN

Abstract This study aims to determine the effectiveness of the development of concrete-based learning media WORD on the thematic learning system class VBSDN 2 Padokan. The study was conducted based on the current curriculum that uses the concept of thematic learning and which sometimes makes students feel difficult in finding the core subject matter delivered by teacher. This research is a development research. The method used is descriptive method. Data collection techniques using interview techniques, observation and documentation. The results of this development study indicate that learning media products are feasible to use. This is based on the results of the many samples who tried the RANDOM OF RANDOM BOARD learning media that can receive learning materials well. The main benefit obtained by students is the RANDOM BOARD OF WORDS learning media makes it easier for students to understand the thematic learning material delivered by the teacher. Keywords: Development, Learning Media, RANDOM BOARD OF WORDS, Thematic
Side channel attack on a partially encrypted MPEG-G file

New genome sequencing technologies have decreased the cost of generating genomic data, thus increasing storage needs. The International Organization for Standardization (ISO) working group MPEG has developed a standard for genomic data compression with encryption features. The approach taken in standard MPEG-G (ISO/IEC 23092) to compress genomic information was to group similar data into streams. Taking this into account, one of the protection options considered was to encrypt each stream separately. In this paper, we show that an attacker can use an unencrypted stream to deduce the encrypted content if streams are encrypted separately. To do so, we present two different attacks, one based on signal processing and the other one based on neural networks. The signal-based attack only works with unrealistic settings, whereas the neural network-based one recovers data with realistic settings (regarding read length and coverage). The presented results made MPEG reconsider the encryption strategy, before final publication of the standard, discarding separate streams encryption approach.
Professional Query as Valuable Sources of Information

This paper focuses on the investor sentiment and stocks performance, but we measure investor sentiments, specially, with advice, comments and opinion from professional investors, which are official social networks about community of individual stock, named HDY (互动易), administered by Shanghai Stock Exchange and Shenzhen Stock Exchange. We find that, basically, sentiments of professional query could be a significant factor, negative sentiment has more remarkable predictability than positive sentiment. Furthermore, specially, dividing into 5 quantiles, the best quantile can obtains more than 30% cumulative return in sample. So sentiment factor from HDY platform shows remarkable Cumulative Return, which also shows robustness, after controlling Fama-French 3/5 factors and testing with Fama-Macbeth method.
Generalized Cyclotomic Mappings: Switching Between Polynomial, Cyclotomic, and Wreath Product Form

This paper is concerned with so-called index $d$ generalized cyclotomic mappings of a finite field $\mathbb{F}_q$, which are functions $\mathbb{F}_q\rightarrow\mathbb{F}_q$ that agree with a suitable monomial function $x\mapsto ax^r$ on each coset of the index $d$ subgroup of $\mathbb{F}_q^{\ast}$. We discuss two important rewriting procedures in the context of generalized cyclotomic mappings and present applications thereof that concern index $d$ generalized cyclotomic permutations of $\mathbb{F}_q$ and pertain to cycle structures, the classification of $(q-1)$-cycles and involutions, as well as inversion.
Synthetic forces induce complex dynamics in a photonic quantum walk

Researchers observe Bloch-Landau-Zener dynamics in a photonic system that models the behavior of a quantum walk under a constant force.
کاربرد الگوریتم رتبه‌بندی در تهیه نقشه آنومالی‌های چند عنصری ژئوشیمیایی ورقه 1:100000سه‌چنگی خراسان جنوبی

Integration of exploration layers, especially the combination of geochemical data, can be used to determine the multi-element geochemical anomalies that represent areas with potential mineralization. This paper seeks to introduce ranking algorithms as an alternative to statistical data mining and multi-criteria decision-making methods for integrating exploration data. For this purpose, 362 stream sediment samples, from Sechangi map sheet of South Khorasan Province were used. Each sample was analyzed for 23 elements. Implementation of the six ranking algorithms such as CA, MA, VSA, PA, LA and CAA on the dataset shows that the obtained mineralization zones have overlapping and almost similar locations. These zones are located on tuff, andesitic, rhyolitic and quaternary sedimentary rock units. Quantitative (permutation and robust principal component analysis methods) and qualitative (compared to geological mapping and mineral indices of the study area) comparisons show the relative superiority of CA and PA algorithms. Combining six maps by weighted averaging has suggested two zones, one with higher mineralization potential of about 24 km2 area and the other with lower mineralization potential of approximately 311 km2 area for the next exploration phase in the study area.
Principales organizadores gráficos utilizados por docentes universitarios: una estrategia constructivista

El proposito del estudio fue determinar cuales son los organizadores graficos (OG) mas utilizados por los docentes de la Universidad Tecnica del Norte (Ecuador), asi como precisar el nivel de habilidades que reconocen tener en la elaboracion y aplicacion de los OG. Se reviso la literatura especializada y se realizo una investigacion de campo aplicandose un cuestionario a profesores de la mencionada universidad. Se evidencio que la principal dificultad para la elaboracion de estos organizadores estriba en la estructuracion de los contenidos y que los OG usados mas frecuentemente son: cuadros sinopticos, mapas conceptuales, mapas mentales y mandalas. El 75% de los encuestados indico usar dichas estrategias didacticas, aunque la frecuencia en su empleo es limitada. Las habilidades en su elaboracion y aplicacion son percibidas por los encuestados como insuficientes. Se plantea el enfoque constructivista y el uso de las nuevas tecnologias para superar las dificultades detectadas. Main graphic organizers used by university teachers: a constructivist strategy Abstract The purpose of the study was to determine which graphic organizers (GO) are most used by the teachers of the Technical University of the North (Ecuador), as well as to specify the level of skills they recognize to have in the elaboration and application of the GO. The specialized literature was reviewed and a field investigation was carried out applying a questionnaire to professors of the aforementioned university. It was evidenced that the main difficulty for the elaboration of these organizers lies in the structuring of the contents and that the organizers used most frequently are the synoptic tables, the conceptual maps, the mental maps and the mandalas. 75% of respondents indicated that they use these teaching strategies, although the frequency of their employment is limited. The skills in its preparation and application are perceived by the respondents as insufficient. The constructivist approach and the use of new technologies are proposed to overcome the difficulties detected. Keywords: graphic organizer; synoptic table; conceptual map; mental map; mandala; schematic representation, meaningful learning.
Research on Key Technology of Water Robot Avoiding Collision Based on Improved VFH Algorithm

Abstract For water robots in the intelligent operations meet to collision problems, a key collision avoidance algorithm based on VFH is developed, and the algorithm is improved and optimized, with a laser radar to launch the electromagnetic wave at a certain period Finally water robot controller was used to deal with data so as to analyze and process the data. Based on this, the histogram of obstacle vector field is established to judge the feasible and infeasible regions of the robot on water. Compared with the direction of the target destinations in feasible region corresponding weighting function is designed so as to determine the feasible area with smaller weight. the simulation by MATLAB to water robot position point for data analysis, Thus the simulation of water robot collision avoidance path diagram.
Application of Long Short Term Memory RNN for Minimarket Sales Transaction Prediction

This study aims to determine whether it can build a prediction of sales of goods at the Lapan-Lapan Mart by using the Long Short Term Memory Recurrent Neural Network method that can be used to predict the sale of goods. In this study, the data was taken from the Lapan-Lapan Mart, together with data on 10 different items sold every day. The data is then compiled for the level of sales to be weekly and a total of 52 data is obtained for each item so that the total data is amounted to 520. To get the weight in the LSTM calculation, there are two processes, namely forward and backward . the weight will be used to make predictions using the basic formula of the LSTM.Based on the research that has been done, it is known that the highest accuracy of using MAD (Mean Absolute Deviation) is 91 gr (11.61803507) indomie goods and 1.8kg of lemon daia (2.077000464) for the lowest MAD
You can't have it all: On Spatial vs Adversarial Robustness of Neural Network Models

Neural network models are known to be vulnerable to small, adversarial pixel-wise perturbations. More recently, they have been shown to be vulnerable to even random spatial transformations (e.g., translations, rotations). Spatial robustness to random translations and rotations is commonly attained via equivariant models (e.g., StdCNNs, GCNNs) and training augmentation. In this paper, we prove a quantitative trade-off between spatial and adversarial robustness in a simple statistical setting. We complement this by empirically studying the following two cases: (a) change in adversarial robustness as we improve only the spatial robustness via training augmentation in equivariant models, (b) change in spatial robustness as we improve only the adversarial robustness using adversarial training. We observe that the spatial robustness of equivariant models improves when their training is augmented with progressively larger transformations but while doing so, it progressively worsens their adversarial robustness. On the other hand, we take state-of-the-art adversarially trained models, and observe that adversarial training with progressively larger perturbations results in a progressive drop in their spatial robustness.
Challenges for Using Impact Regularizers to Avoid Negative Side Effects.

Designing reward functions for reinforcement learning is difficult: besides specifying which behavior is rewarded for a task, the reward also has to discourage undesired outcomes. Misspecified reward functions can lead to unintended negative side effects, and overall unsafe behavior. To overcome this problem, recent work proposed to augment the specified reward function with an impact regularizer that discourages behavior that has a big impact on the environment. Although initial results with impact regularizers seem promising in mitigating some types of side effects, important challenges remain. In this paper, we examine the main current challenges of impact regularizers and relate them to fundamental design decisions. We discuss in detail which challenges recent approaches address and which remain unsolved. Finally, we explore promising directions to overcome the unsolved challenges in preventing negative side effects with impact regularizers.
Additional WebdriverIO Methods

So far, we have covered WebdriverIO installation, setup, locator strategies, and some widely used built-in methods to automate user actions. This chapter looks at additional WebdriverIO methods and built-in assertions that come in handy during end-to-end execution. Assertions are validation points that conclusively determine if a test case passed or failed. Assertions are hard validations, meaning the execution stops as soon as the control encounters an assertion statement.
Sparse Multinomial Logistic Regression Algorithm Based on Centered Alignment Multiple Kernels Learning

As a generalized linear model, Sparse Multinomial Logistic Regression (SMLR) is widely used in various multi-class task scenarios. SMLR introduces Laplace priori into Multinomial Logistic Regression (MLR) to make its solution sparse, which allows the classifier to embed feature selection in the process of classification. In order to solve the problem of non-linear data classification, Kernel Sparse Multinomial Logistic Regression (KSMLR) is obtained by kernel trick. KSMLR can map nonlinear feature data into high-dimensional and even infinite-dimensional feature spaces through kernel functions, so that its features can be fully expressed and eventually classified effectively. In addition, the multi-kernel learning algorithm based on centered alignment is used to map the data in different dimensions through different kernel functions. Then center-aligned similarity can be used to select flexibly multi-kernel learning weight coefficients, so that the classifier has better generalization ability. The experimental results show that the sparse multinomial logistic regression algorithm based on center-aligned multi-kernel learning is superior to the conventional classification algorithm in classification accuracy.
Development of Spanish Teaching Model Applying Action Learning through Strengthening Communication

This study is to propose a communication strengthening teaching model using action learning for Spanish learners, and to verify its effectiveness through a case study of Spanish lessons. This study was conducted under the same conditions by dividing 91 students from September 1 to December 20, 2019 into experiment and control classes. As a result of the experiment, both classes improved their writing ability to some extent, but the learners in the experimental class applying action learning showed more meaningful results in terms of the content, expressions, fluency of the text, and the affective domain test also showed a significant difference. The development of this teaching model, which is necessary for learner-centered convergence activities, is expected to be of academic significance as it can be used for other foreign language class activities as well as improving Spanish communication.
Chemical speciation of Zn, Pb, Fe and Mn in soil samples from the vicinity of a kaolin milling plant in Alkaleri, Bauchi state Nigeria

This work is aimed at speciatiating some heavy metals in soil samples from the vicinity of a Kaolin milling plant. Soil samples analyzed in this research work were collected from twelve sampling sites from the vicinity of a Kaolin milling plants. Sample speciation analysis was carried out using method proposed by Tessier et al. as adopted by Omuku et al. with some modification. Elemental determination of manganese, iron, zinc and lead in the various speciation fractions were carried out using atomic absorption spectrometry (AAS) at various wavelengths. The result showed the distributions of heavy metals in various fractions as follows: Mn (F4,F2<F3<F5<F1) with concentration range in mg/kg between 1.00 – 5.50 and percentage range between 7.8 – 42.9%. Fe (F2<F1<F4<F3<F5) with concentration range in mg/kg between 11.7 – 110.8 and percentage range between 6.0 – 56.8%.Zn (F1<F4<F5<F3<F2) with concentration range in mg/kg between 0.0 – 2.5 and percentage range between 0 – 48.4%. Pb (F4<F5<F3<F1<F2) with concentration range in mg/kg between 4.00 – 14.67 and percentage range between 8.8 – 32.2%.Mn, Zn and Pb were seen to be highly mobile since they were mostly found in the fractions characterized by high mobility while Fe predominantly existed at the residual fraction.Keywords: Speciation, Heavy metals, AAS, Soil, Kaolin, milling plant