Reviewerly/exHarmony huggingface dataset:
Oral presentations of third grade

Speech is a skill we need in our daily lives. It gradually develops an important element of communication, beginning with the simple acquisition of words and the subsequent creation of more complex sentence structures. Speech development is systematically developed in primary school, where the child needs communication skills to acquire skills other than reading and writing skills. In the school environment, speech develops systematically and is reflected in various activities, including speech performance. Acquaintance, preparation, and implementation of a speech according to the curriculum take place in the 3rd grade of primary school. Students are then systematically introduced to the characteristics of speech performance, which include speech, content preparation, behaviour in front of listeners, learning to experiment, making eye contact, gaining confidence and gaining feelings for speaking in front of the target group. For successful speech performance is required a lot of effort and training. One of the ways to achieve these goals is the planned preparation and evaluation of the performance of a speech performance according to precisely defined criteria for achieving performance. The purpose of the master's thesis was to investigate how the introduction, implementation, and evaluation of speech performances in the 3rd grade of primary school takes place.In the theoretical part of the master's thesis, the concept of communicative ability is presented, from which we have already found a presentation of rhetoric in speech. We focused on the phases of communication, verbal language, non-verbal elements, supporting the teacher in the development of students' speech, and also touched on the problems that arise in speech performances.In the empirical part of the master's thesis, quantitative research is presented, which was obtained through a descriptive research methodology. The first part of the research was conducted with the help of an online survey questionnaire because the data for other partial research obtained with the observation sheet are given.Both parts of the research were shown that teachers make extensive use of the implementation of speech performance in the 3rd grade, taking into account the characteristics of speech performance and learning objectives in the foreground. This is reflected in the rating scales or criteria for successful speech performance, which mostly covers all the necessary elements of speech performance. We found that most of the students' speeches end with feedback from peers and teachers, but they do not have all the options to correct or improve speech performance.Obtained research results can help classroom teachers in 3rd grade to pay attention to speech performance factors in performance, performance, and final performance assessment.
Tate Library: Fake News: Articles and more

This guide provides resources for Fake News, News and Media Bias and thinking critically when consuming information.
On the Creative Power of Music (Performing Secrets and the State of “Godly Sorrow” of Sergei Rachmaninoff)

The article focuses on a topic that researchers usually neglectthe spiritual side of artistic performance：How to imagine, hear or produce the sound?Where from should a musician derive strength and energy for stage performance?Where is the source of creative inspiration?The author suggests analyzing these issues based on the published thoughts of Sergei Rachmaninoff.
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation

We propose a parameter efficient Bayesian layer for hierarchical convolutional Gaussian Processes that incorporates Gaussian Processes operating in Wasserstein-2 space to reliably propagate uncertainty. This directly replaces convolving Gaussian Processes with a distance-preserving affine operator on distributions. Our experiments on brain tissue-segmentation show that the resulting architecture approaches the performance of well-established deterministic segmentation algorithms (U-Net), which has never been achieved with previous hierarchical Gaussian Processes. Moreover, by applying the same segmentation model to out-of-distribution data (i.e., images with pathology such as brain tumors), we show that our uncertainty estimates result in out-of-distribution detection that outperforms the capabilities of previous Bayesian networks and reconstruction-based approaches that learn normative distributions.
Unsupervised Learning of Multi-level Structures for Anomaly Detection

The main difficulty in high-dimensional anomaly detection tasks is the lack of anomalous data for training. And simply collecting anomalous data from the real world, common distributions, or the boundary of normal data manifold may face the problem of missing anomaly modes. This paper first introduces a novel method to generate anomalous data by breaking up global structures while preserving local structures of normal data at multiple levels. It can efficiently expose local abnormal structures of various levels. To fully exploit the exposed multi-level abnormal structures, we propose to train multiple level-specific patch-based detectors with contrastive losses. Each detector learns to detect local abnormal structures of corresponding level at all locations and outputs patchwise anomaly scores. By aggregating the outputs of all level-specific detectors, we obtain a model that can detect all potential anomalies. The effectiveness is evaluated on MNIST, CIFAR10, and ImageNet10 dataset, where the results surpass the accuracy of state-of-the-art methods. Qualitative experiments demonstrate our model is robust that it unbiasedly detects all anomaly modes.
Sebuah Pura Bagian Dari Perjalanan Danghyang Nirarta

Sad Kahyangan Jagat is one of six temples. It stands majestically at the southwestern tip of Bali on a steep, high rock platform and protrudes into the sea. This temple is located in the village of Pecatu, South Kuta District, Badung Regency and this temple is easily accessible. Uluwatu Temple is divided into three parts; Utama Mandala, Madya Mandala, and Nista Mandala. At Utama Mandala there are prasada and pelinggih in the form of Meru Tumpang Tiga. In Madya Mandala there are no pelinggih. Whereas in the southern Mandala Nista called Dalem Be Pvt, there are among others prasada, where the mokshanya Danghyang Dwijendra is side by side with a monument in the form of two boats used to sail when coming to Bali. Uluwatu Temple is a well-known tourist attraction in all foreign countries, although it is already a place that is very popular with tourists does not necessarily make people forget some things that must be done by visitors (tourists) when it comes to temples. The visitors must use cloth (relapsed) and scarves so that when entering the temple area, harmony, sacred values can be interpreted by visitors. Regulations relating to the ethics of visitors who come to Uluwatu Temple must adhere to the applicable rules made by Bendesa Adat.
Observable Signals of Motivation in Teaching-learning Process

The current study focuses on the identification of the observable signals of motivation as perceived by the language teachers in the teaching-learning process. This phenomenon is worth studying as it can open new dimensions for conducting research on motivation and engagement in the field of applied linguistics. It can be very helpful for teachers in assessing their students’ motivation. Data was collected for this phenomenological study through questionnaire, interviews, and focus group discussion. The sample consisted of twenty-six English language teachers. The data were analyzed through thematic analysis. The observable signals of motivation were categorized in the behavioral, emotional, and cognitive domains. The results identified that ‘asking probing questions’, ‘eye contact’, ‘asking for extra resources’, ‘loving and respecting teachers’, ‘coming on time’, ‘completing classroom tasks quickly’, ‘enjoying group activities’, and ‘suggesting topics to teachers’ comprised the observable signals of motivation. The majority of the teachers agreed on observing most of these signals. Teachers can use these signals to assess the motivation of their learners and future researchers can use the findings of this research for conducting further research.
Mathematical Models of Inverse Problems for Finding the Main Characteristics of Air Pollution Sources

The paper describes optimization of mathematical models for determining the main characteristics of the source of environmental pollution. A modification of the classical Newton’s method for finding a numerical solution of the constructed mathematical models for identifying the parameters of an environmental pollutant has been developed. A modification of the classical Newton’s method is obtained, which makes it possible to reduce the total number of calculations in the process of determining the main characteristics of the pollution source. A number of software-implemented computational experiments have been carried out for the model for determining the height of the pipe of the pollution source and the concentration of emissions on it, the model for determining the full location of the pipe of the pollution source and the concentration of emissions from the source. The possibility of complete localization of the pollution source in less than 40 measurement iterations using 1 post of the air pollution monitoring system has been established. The proposed method makes it possible to reduce by 3 times the number of simulation iterations for detecting a source of pollution in comparison with classical methods for solving inverse problems during monitoring of air pollution.
Simulation of Observable Properties of a Quantum Object on a Classical Computer

Properties such as the energy and momentum of a quantum object can be calculated exactly in quantum theory, but they cannot be simulated on a classical computer. This is in part due to the fact that the physical nature of quantum objects is not yet understood (ontology problem). In this paper it is shown that it is possible to simulate observable properties of a quantum object on a classical computer. For this purpose, the wave describing the quantum object is considered as a physical element with a constant amplitude of a quarter of the Planck constant (Ψmax=h/4=const.). As a result, the values of energy and momentum, as well as the de Broglie wavelength, can be simulated without the aid of further parameters. This is expected to give new ideas to ontological issues.
Tuple Interpretations for Higher-Order Rewriting

We develop a class of algebraic interpretations for many-sorted and higher-order term rewriting systems that takes type information into account. Specifically, base-type terms are mapped to \emph{tuples} of natural numbers and higher-order terms to functions between those tuples. Tuples may carry information relevant to the type; for instance, a term of type $\mathsf{nat}$ may be associated to a pair $(\mathsf{cost}, \mathsf{size})$ representing its evaluation cost and size. This class of interpretations results in a more fine-grained notion of complexity than runtime or derivational complexity, which makes it particularly useful to obtain complexity bounds for higher-order rewriting systems. We show that rewriting systems compatible with tuple interpretations admit finite bounds on derivation height. Furthermore, we demonstrate how to mechanically construct tuple interpretations and how to orient $β$ and $η$ reductions within our technique. Finally, we relate our method to runtime complexity and prove that specific interpretation shapes imply certain runtime complexity bounds.
Rapid Detection of Aircrafts in Satellite Imagery based on Deep Neural Networks

Object detection is one of the fundamental objectives in Applied Computer Vision. In some of the applications, object detection becomes very challenging such as in the case of satellite image processing. Satellite image processing has remained the focus of researchers in domains of Precision Agriculture, Climate Change, Disaster Management, etc. Therefore, object detection in satellite imagery is one of the most researched problems in this domain. This paper focuses on aircraft detection. in satellite imagery using deep learning techniques. In this paper, we used YOLO deep learning framework for aircraft detection. This method uses satellite images collected by different sources as learning for the model to perform detection. Object detection in satellite images is mostly complex because objects have many variations, types, poses, sizes, complex and dense background. YOLO has some limitations for small size objects (less than$\sim$32 pixels per object), therefore we upsample the prediction grid to reduce the coarseness of the model and to accurately detect the densely clustered objects. The improved model shows good accuracy and performance on different unknown images having small, rotating, and dense objects to meet the requirements in real-time.
ANALYSIS OF ERRORS ON INVITATION LETTERS: (A CASE STUDY OF WRITING INVITATION LETTER BY TENTH GRADE STUDENTS MAJORING MARKETING AT SMK N 1 SLAWI USED AS WRITING ASSESSMENT)

There are four aspects of English skills should be owned by English learners in order to reach communicative competence, namely Speaking, Listening, Grammar, and Writing. By viewing the facts around, we know that the achievement of writing of Indonesian students are in a shitter, either in structure a word, the use of the term, grammar, or another objectives. They still often do mistakes and errors when they writing. In line with this case, in this article the writer tries to analyze errors in tenth grade students majoring marketing in class A at SMK N 1 Slawi while they were writing invitation letters.
On the Number of Linear Functions Composing Deep Neural Network: Towards a Refined Definition of Neural Networks Complexity

The classical approach to measure the expressive power of deep neural networks with piecewise linear activations is based on counting their maximum number of linear regions. This complexity measure is quite relevant to understand general properties of the expressivity of neural networks such as the benefit of depth over width. Nevertheless, it appears limited when it comes to comparing the expressivity of different network architectures. This lack becomes particularly prominent when considering permutation-invariant networks, due to the symmetrical redundancy among the linear regions. To tackle this, we propose a refined definition of piecewise linear function complexity: instead of counting the number of linear regions directly, we first introduce an equivalence relation among the linear functions composing a piecewise linear function and then count those linear functions relative to that equivalence relation. Our new complexity measure can clearly distinguish between the two aforementioned models, is consistent with the classical measure, and increases exponentially with depth.
Library Guides: Atlas for Alum: Assessing Full-Text Availability

How to find full-text articles, and what to do when an item you need is not available online.
Pengembangan Server VOIP Menggunakan FREEPBX Dan Asterisk Berbasis Raspberry PI

Raspberry Pi is a single board computer that the author uses as a voip server based on asterisk. To use this voip network, each device must have a static IP as well as be connected to a stable network. The advantage of using raspberry pi is that it no longer costs money to make voice calls for both package and pulse costs. The purpose and benefits of this research to know how raspi works, know how to install voip server using freepbx and asterisk, know how to install voip client on smartphones and laptops dang know the topology of raspi-based voip network, and know how to test stages of searching for throughput, loss package, delay, and jitter using wireshark
IMPACTS OF SPELLING PROBLEMS ON EFL STUDENTS’ WRITING SKILL AT KANDAHAR UNIVERSITY, KANDAHAR, AFGHANISTAN

In English language, spelling is one of the sub-skills and components of writing. In addition, writing is from the productive skills of English language that is very essential for EFL leaners. This study investigated the causes of spelling problems and its impacts on EFL students’ writing skill. Moreover, a quantitative approach used for this study, and the instrument was questionnaire. In this study, the target population was from two faculties of Kandahar University. The data collected from one hundred and eighty-five learners, and they elected through a random sampling method. Besides, the data analyzed by using IBM 22 version of SPSS, and the results reported in the tables. The findings of this current study revealed that English language has more sounds than letters, the spelling system of English is complex and has many rules, students’ carelessness when they write a paragraph or text are the causes of spelling errors. As well, the lack of suitable manual regarding the spelling of words, and the interference of students’ native language with English language were the major reasons of spelling problems for the learners. Furthermore, the study further asserted that spelling errors made the students to spend more than the necessary time when they write and poor structure of sentences were the factors, which had negative impacts on the writing skill of the learners. Article visualizations:
The Effect Of Using Toontastic 3D On Students’ Speaking Skills At Eighth Grade Of Mts. Hifzhil Qur'an Medan In 2020/2021 Academic Year

This research aimed to determine whether there is a significant effect of usingToontastic 3D on students' speaking skills. This research was conducted usingquantitative method. Precisely, experimental research. The sample used was twoclasses, namely: class VIII-6 consist of 38 students as the experimental class andstudents VIII-3 consist of 38 students as the control class. The data collectioninstrument used a test. The results of the research were quite significant with theexperimental class mean score was 47.94 in pre-test and 76.31 in posttest, while themean score in the control class was 52.89 in pretest and 69.73 in posttest. The resultof calculations using the t-test shown that t observation = 2.83 and t table for α: 5%was 1.30. This meant that the t-observation was higher than the t-table {2.83> 1.30}.Thus, it can be concluded that there was an influence between the use of Toontastic3D on students' speaking skills in the experimental class.
Auf zu neuen Ufern. „Akustische Gitarre“ an der Musikhochschule Dresden

The jazz/rock/pop programme at the Dresden College of Music developed into a multifaceted educational complex during the GDR era, despite reservations by cultural politicians, and gained international recognition after the fall of the Berlin Wall. Contemporary witnesses, current teachers and graduates report in 25 essays on their work, experiences, individual views and the interaction between artistic practice and pedagogical activity. This richly illustrated volume provides unique insights into the structure and goals of this field of study in all its breadth, from the children's class and the cooperation with the Saxon State Grammar School for Music to the Bachelor's, Master's and graduate programmes.
A Primer on Blockchain Use Cases for Modern Governance and Economic Independence

Blockchain is a distributed network-based ledger that is secured by methods of cryptographic proof. It enables the creation of tamper proof self-executable digital contracts. ie, smart contracts. Emerging blockchain protocols have enabled adoption in major areas of research including governance, IoT, healthcare, banking and education. Blockchain adoption can help us overcome major issues in governance including electoral fraud, healthcare, data privacy, operational efficiency, information security, identification management systems, currency debasement etc., This paper will propose and discuss a Central Bank issued digital currency system (Digital Dollar), Digital Identification Management System (e-Pass), Digital Voting System (e-Vote).
Clustering Kanker Serviks Berdasarkan Perbandingan Euclidean dan Manhattan Menggunakan Metode K-Means

K-means a fairly simple and commonly used cluster of clusters to partition datasets into multiple clusters. Distance calculations are used to find similar data objects that lead to developing powerful algorithms for datamining such as classification and grouping. Some studies apply k-means algorithms using distance calculations such as Euclidean, Manhattan and Minkowski. The study used datasets from gynecological patients with a total of 401 patients examined and as many as 205 patients detected cervical cancer, while 196 other patients did not have cervical cancer. The results were shown with the help of confusion matrix and ROC curve, accuracy value obtained by 79.30% with ROC 79.17% on K-Means Euclidean Metric while K-Means Manhattan Metric by 67.83% with ROC 65.94%. Thus it can be concluded that the Euclidean method is the best method to be applied in the K-Means Clustering algorithm on cervical cancer datasets.
Contemporary Issues of Digital Economy and Society. Higher education in an information society environment

The main characteristic of the information society is that the majority of the population is involved in the production of knowledge. The educational level of the person plays a significant role, as the information society places high demands on both the educational level of each individual and the institute of education as a whole. Higher education is a necessary prerequisite for raising the social status and obtaining the personality of the desired place in the modern society. Thus, the center of social organization, the main social institution is the higher school as a center of production, processing and accumulation of knowledge. It should be noted that in the information society, when information becomes of higher value, and the information culture of a person – the determining factor of professional activity, requirements to the higher education system change, there is a significant increase in its status.
El índice de actividad individual de los estudiantes en EVA y sus rendimientos académicos: el caso de Bioestadística Veterinaria

The suspension of face-to-face activities in the Universidad de la Republica caused by the COVID-19 pandemic, made virtual learning spaces essential for university teaching and learning. Biostatistics 1, a first-year Veterinary course, was entirely taught remotely through the Moodle platform of the Faculty of Veterinary Medicine (Entorno Virtual de Aprendizaje [EVA]). In this study, the information provided by EVA was analyzed and associated with the students’ performance. A total of 825 students were enrolled in the course on EVA. Between 50 % and 70 % of the students entered the course every week, with minimal activity on the weekends. The Individual Activity Index (IAI), defined as the days that the student accessed the platform over the total days of the course, allowed to quantify the activity of the students and correlate that value to their academic performance through a linear regression. The IAI showed a direct, positive and significant association with the final result obtained by the students. The results of the academic performance of this generation were also analyzed in aspects related to disengagement, gain and promotion of the course, finding that the on-line modality had disengagement values ​​similar to those registered in previous years with face-to-face classes. The information provided by EVA is key to be able to assess the impact of the pandemic and to improve the next editions of the course.