Reviewerly/exHarmony huggingface dataset:
Analysis of Fourth Grade Students' Book based on 2013 Curriculum Theme Pahlawanku Subtheme Pahlawanku Kebanggaanku on Lesson Five

The aim of this research is to know suitability of fourth grade students’ book based on 2013 Curriculum theme Pahlawanku Subtheme Pahlawanku Kebanggaanku on lesson five with core competencies, learning objectives, indicators, materials, tool and learning resources. This section is eleventh fragment of eighteen fragment of analysis of fourth grade students’ book on theme Pahlawanku. This research using qualitative descriptive method. Which analyze students’ book on fourth grade.then discussing the suitability according with the rule of Ministry of Education and Culture and the implementation of Curriculum 2013. The result showed that 1) lesson five corresponding with core competencies; 2) there is indicator on lesson five to narrow for PPKN subject; 3) lesson five corresponding with learning objectives; 4) there is learning activity not corresponding on lesson five; 5) there is some materials to narrow on lesson five; and 6) lesson five corresponding with tools and learning resources.
Random initialisations performing above chance and how to find them

Neural networks trained with stochastic gradient descent (SGD) starting from different random initialisations typically find functionally very similar solutions, raising the question of whether there are meaningful differences between different SGD solutions. Entezari et al.\ recently conjectured that despite different initialisations, the solutions found by SGD lie in the same loss valley after taking into account the permutation invariance of neural networks. Concretely, they hypothesise that any two solutions found by SGD can be permuted such that the linear interpolation between their parameters forms a path without significant increases in loss. Here, we use a simple but powerful algorithm to find such permutations that allows us to obtain direct empirical evidence that the hypothesis is true in fully connected networks. Strikingly, we find that two networks already live in the same loss valley at the time of initialisation and averaging their random, but suitably permuted initialisation performs significantly above chance. In contrast, for convolutional architectures, our evidence suggests that the hypothesis does not hold. Especially in a large learning rate regime, SGD seems to discover diverse modes.
Electronic Money in Iraq: Reality and Challenges

The aim of our research is to shed light on electronic money in Iraq and the extent of its development during the time period in which we conducted our study, which began in the year 2017, where the impact of the salary settlement law for employees in the public and private sectors, which caused an increase in the use of electronic cards used. We tried through our research this definition of money The electronic money, which consisted of (magnetic plastic cards, electronic instruments and others), and then explained the characteristics of that money from the regular money that we used to use, which is paper money or metal alike, in addition to addressing the impact of its use on the banking sector in any country, as well as we explained the advantages of using Electronic money with an explanation of its risks that may lead to some reluctance to use it. As for the second topic, we touched on the reality of electronic money in Iraq, where we worked to clarify the settlement that the Central Bank carried out with the Iraqi government and the percentages of achievement achieved until the year 2020, in addition to the spread of money changers. The mechanism in Iraq and the percentage of money transferred by companies (Zain, Asia Hawala, Nass Iraq) adding the market share of each portfolio, and then we were raised to the obstacles to the development of electronic money in Iraq, leading to conclusions and recommendations
Neural Networks Reduction via Lumping

The increasing size of recently proposed Neural Networks makes it hard to implement them on embedded devices, where memory, battery and computational power are a non-trivial bottleneck. For this reason during the last years network compression literature has been thriving and a large number of solutions has been been published to reduce both the number of operations and the parameters involved with the models. Unfortunately, most of these reducing techniques are actually heuristic methods and usually require at least one re-training step to recover the accuracy. The need of procedures for model reduction is well-known also in the fields of Verification and Performances Evaluation, where large efforts have been devoted to the definition of quotients that preserve the observable underlying behaviour. In this paper we try to bridge the gap between the most popular and very effective network reduction strategies and formal notions, such as lumpability, introduced for verification and evaluation of Markov Chains. Elaborating on lumpability we propose a pruning approach that reduces the number of neurons in a network without using any data or fine-tuning, while completely preserving the exact behaviour. Relaxing the constraints on the exact definition of the quotienting method we can give a formal explanation of some of the most common reduction techniques.
A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-Resolutions

High-resolution representations are important for vision-based robotic grasping problems. Existing works generally encode the input images into low-resolution representations via sub-networks and then recover high-resolution representations. This will lose spatial information, and errors introduced by the decoder will be more serious when multiple types of objects are considered or objects are far away from the camera. To address these issues, we revisit the design paradigm of CNN for robotic perception tasks. We demonstrate that using parallel branches as opposed to serial stacked convolutional layers will be a more powerful design for robotic visual grasping tasks. In particular, guidelines of neural network design are provided for robotic perception tasks, e.g., high-resolution representation and lightweight design, which respond to the challenges in different manipulation scenarios. We then develop a novel grasping visual architecture referred to as HRG-Net, a parallel-branch structure that always maintains a high-resolution representation and repeatedly exchanges information across resolutions. Extensive experiments validate that these two designs can effectively enhance the accuracy of visual-based grasping and accelerate network training. We show a series of comparative experiments in real physical environments at Youtube: https://youtu.be/Jhlsp-xzHFY.
Vanishing 2-Qubit Gates with Non-Simplification ZX-Rules

Traditional quantum circuit optimization is performed directly at the circuit level. Alternatively, a quantum circuit can be translated to a ZX-diagram which can be simplified using the rules of the ZX-calculus, after which a simplified circuit can be extracted. However, the best-known extraction procedures can drastically increase the number of 2-qubit gates. In this work, we take advantage of the fact that local changes in a ZX-diagram can drastically affect the complexity of the extracted circuit. We use a pair of congruences (i.e., non-simplification rewrite rules) based on the graph-theoretic notions of local complementation and pivoting to generate local variants of a simplified ZX-diagram. We explore the space of equivalent ZX-diagrams generated by these congruences using simulated annealing and genetic algorithms to obtain a simplified circuit with fewer 2-qubit gates. On randomly generated circuits, our method can outperform state-of-the-art optimization techniques for low-qubit (<10) circuits. On a set of previously reported benchmark circuits with <=14 qubits, our method outperforms off-the-shelf methods in 87% of cases, consistently reducing overall circuit complexity by an additional ~15-30% and eliminating up to 46% of 2-qubit gates. These preliminary results serve as a proof-of-concept for a new circuit optimization strategy in the ZX-calculus.
On the State of the Art in Authorship Attribution and Authorship Verification

Despite decades of research on authorship attribution (AA) and authorship verification (AV), inconsistent dataset splits/filtering and mismatched evaluation methods make it difficult to assess the state of the art. In this paper, we present a survey of the fields, resolve points of confusion, introduce Valla that standardizes and benchmarks AA/AV datasets and metrics, provide a large-scale empirical evaluation, and provide apples-to-apples comparisons between existing methods. We evaluate eight promising methods on fifteen datasets (including distribution-shifted challenge sets) and introduce a new large-scale dataset based on texts archived by Project Gutenberg. Surprisingly, we find that a traditional Ngram-based model performs best on 5 (of 7) AA tasks, achieving an average macro-accuracy of $76.50\%$ (compared to $66.71\%$ for a BERT-based model). However, on the two AA datasets with the greatest number of words per author, as well as on the AV datasets, BERT-based models perform best. While AV methods are easily applied to AA, they are seldom included as baselines in AA papers. We show that through the application of hard-negative mining, AV methods are competitive alternatives to AA methods. Valla and all experiment code can be found here: https://github.com/JacobTyo/Valla
Technical Report on Optimal Linear Multiple Estimation for Landmark-Based Planning via Control Synthesis

A common way to implement navigation in mobile robots is through the use of landmarks. In this case, the main goal of the controller is to make progress toward a goal location (stability), while avoiding the boundary of the environment (safety). In our previous work, we proposed a method to synthesize global controllers for environments with a polyhedral decomposition; our solution uses a Quadratically Constrained Quadratic Program with Chance Constraints to take into account the uncertainty in landmark measurements. Building upon this work, we introduce the concept of virtual landmarks, which are defined as linear combinations of actual landmark measurements that minimize the uncertainty in the resulting control actions. Interestingly, our results show that the first minimum-variance landmark is independent of the feedback control matrix, thus decoupling the design of the landmark from the one of the controller; attempting to derive additional, statistically independent landmarks, however, requires solving non-convex problems that involve also the controller. Numerical experiments demonstrate that, by minimizing the variance of the inputs, the resulting controller will be less conservative, and the robot is able to complete navigation tasks more effectively (faster and with less jitter in the trajectory).
Sketch of a novel approach to a neural model

In this paper, we lay out a novel model of neuroplasticity in the form of a horizontal-vertical integration model of neural processing. The horizontal plane consists of a network of neurons connected by adaptive transmission links. This fits with standard computational neuroscience approaches. Each individual neuron also has a vertical dimension with internal parameters steering the external membrane-expressed parameters. These determine neural transmission. The vertical system consists of (a) external parameters at the membrane layer, divided into compartments (spines, boutons) (b) internal parameters in the sub-membrane zone and the cytoplasm with its protein signaling network and (c) core parameters in the nucleus for genetic and epigenetic information. In such models, each node (=neuron) in the horizontal network has its own internal memory. Neural transmission and information storage are systematically separated. This is an important conceptual advance over synaptic weight models. We discuss the membrane-based (external) filtering and selection of outside signals for processing. Not every transmission event leaves a trace. We also illustrate the neuron-internal computing strategies from intracellular protein signaling to the nucleus as the core system. We want to show that the individual neuron has an important role in the computation of signals. Many assumptions derived from the synaptic weight adjustment hypothesis of memory may not hold in a real brain. We present the neuron as a self-programming device, rather than passively determined by ongoing input. We believe a new approach to neural modeling will benefit the third wave of AI. Ultimately we strive to build a flexible memory system that processes facts and events automatically.
Asymptotic Statistical Analysis of $f$-divergence GAN

Generative Adversarial Networks (GANs) have achieved great success in data generation. However, its statistical properties are not fully understood. In this paper, we consider the statistical behavior of the general $f$-divergence formulation of GAN, which includes the Kullback--Leibler divergence that is closely related to the maximum likelihood principle. We show that for parametric generative models that are correctly specified, all $f$-divergence GANs with the same discriminator classes are asymptotically equivalent under suitable regularity conditions. Moreover, with an appropriately chosen local discriminator, they become equivalent to the maximum likelihood estimate asymptotically. For generative models that are misspecified, GANs with different $f$-divergences {converge to different estimators}, and thus cannot be directly compared. However, it is shown that for some commonly used $f$-divergences, the original $f$-GAN is not optimal in that one can achieve a smaller asymptotic variance when the discriminator training in the original $f$-GAN formulation is replaced by logistic regression. The resulting estimation method is referred to as Adversarial Gradient Estimation (AGE). Empirical studies are provided to support the theory and to demonstrate the advantage of AGE over the original $f$-GANs under model misspecification.
Automatic Detection of Moving Objects in Planet SkySat Video.

months apart. In this paper, we apply the approach to low-frame rate (1-2 frames per second) video datasets.
A Study of Formal Features of Chu Ci Translation and Research Texts in English Based on Variational Translation Theory

The dissemination works of Chu Ci (楚辞) in Western countries can roughly be divided into three groups: translation works, research works and literary works. The formal features of the dissemination works are intimately related to and determined by the variational translation methods which include adaptation translation, selective translation, translation and comment, translation and writing, introduction-translation, edited translation, reference translation, condensed translation, and so on. Research on the textual features of Chu Ci dissemination works in the West is of great help to the globalization of Chinese culture, especially to ancient Chinese literary and cultural classics’ going global which is an important national policy of the Chinese government.
An Empirical Study on Factors Affecting Selection of Software Development Life Cycle Models

With the rapid rise of the need to improve software development, it is significant to know which factors can affect the selection of software development life cycle. A decent number of models and the unending discussion between the promoters of traditional, agile, and hybrid models choose an accurate one uneasy and complex. This study intends to provide a view in choosing development models in diverse project situations. The present survey-based study was carried out in software engineering organizations in India. Initially, the study introduces the prevalent software development life cycle models followed by the empirical results of the survey that have significant takeaways for the practitioners in software organizations. The findings of the study show that agile methodology is most prevalent for software development and user requirements understanding is the most significant factor in the selection of development model followed by project type.
ANALISIS KETELITIAN LUAS METODE SIMPSON DENGAN METODE TRAPEZOID STUDI KASUS DAERAH ALIRAN SUNGAI KALIBARU KALURAHAN CAWANG

&#x0D; The calculation of the area is widely used in the engineering sector, for example housing development, land and property taxes, and other purposes. In this study, the calculationof the area was carried out using a case study of the Kalibaru River Basin, Cawang Village. The selection of this area is intended to contribute to the size of the watershed area as preliminary data that can be used to anticipate flood disasters in the Cawang area.There are many methods for calculating the area, but in this study the method used is the Simpson’s method compared to the Trapezoid’s method. The advantage of the Simpson’s method is that the formula derives from taking into account the curved area of ​​the boundary, compared to the Trapezoid’ method which does not take into account the curved edge of the area.The results show that the watershed area using the Simpson’s method is 0.03% greater than the Trapezoid’s method. Meanwhile, the percentage of standard deviation for the mean of the area calculated by the Trapezoid’s method is 0.0287%., while the percentage of standard deviation for the mean of the area calculated by the Simpson method is 0.0261%, it can be said that the result of Simpson’method close to the true magnitude compared Trapezoid’s method.Keywords: Area;, Accuracy; Offset;Simpson; Trapezoid
Interjection by Commentators in Identity V E-Sports Tournament

The aim of this research is to describe the functions of interjections spoken by two commentators called jikkyousha and kaisetsusha in Identity V e-sports tournament with a pragmatic approach. A qualitative descriptive method was used in this research. Interjections were analyzed using Namatame Yasu and Masuoka-Takubo’s interjection theory. The results show 12 functions of interjections: facing a new situation, expressing deep feelings for something, politely affirming what interlocutors said, agreeing, disagreeing, approval, attention, surprise, recalled, expressions of thought, taking back what the speaker said, and greeting. Expression of facing a new situation is the most spoken interjection.
Worldview and art components of the innovative concept of the theater of French director Jacques Copeau

The goal of the work. Identify the ideological and artistic components of the innovative concept of the theatre of the French actor, director, theatre teacher and critic J. Copeau as a holistic worldview and artistic formation. The research methodology consists in the application of the historical-cultural method: for the analysis of the directorial and pedagogical activity of J. Copeau in the context of the socio-cultural space of the first half of the twentieth century; system method: for the analysis of the theatrical and pedagogical concept of J. Copeau; art method: to analyse the formation of worldviews, artistic and aesthetic principles and directorial individuality of J. Copeau; structural and functional method: to analyse the innovative essence of the system of training a well-developed actor: the theatre school "Vieux-Columbie". The novelty of the study is to determine the basic worldview and aesthetic guidelines of the artist, part of the innovative directorial concept of theatrical art. Conclusions. Jacques Copeau's directing career had a great influence on the development of European theatre. His method of conducting acting training using a mask is considered in the world of performing arts one of the most effective ways to master professional skills. The idea of the master of the "permanent architectural scene" is considered, according to experts, the most original in solving the stage form. Copeau's international success in journalism, drama, directing, acting and teaching is a level of achievement unparalleled in the history of modern French and perhaps even modern European theatre. While the French theatre was in desperate need of leadership and new goals, J. Copeau's work demonstrated extraordinary inspiration and a constant pursuit of quality. His influence on French cultural policy was indeed great and profound, and his work has left a deep mark in the theory and practice of leading researchers of American and British institutes.&#x0D; Keywords: theatre, actor, director Jacques Copeau.
Personalized Recommendations of Products to Users

Many organizations utilize recommendation systems to increase their profitability and win over their customers, including Facebook, which suggests friends, LinkedIn, which promotes employment, Spotify, which recommends music, Netflix, which recommends movies, and Amazon, which recommends purchases. When it comes to movie recommendation system, suggestions are made based on user similarities (collaborative filtering) or by considering a specific user's behavior (content-based filtering) that he or she wishes to interact with. Using TF-IDF, cosine similarity method for content-based filtering, and deep learning for a collaborative approach, this study compares two movie recommendation system. The proposed systems are evaluated by calculating the precision and recall values. On a small dataset, a content-based filtering methodology had a precision of 5.6% whereas a collaborative approach had a precision of 57%. Collaborative filtering clearly worked better than content-based filtering. Future improvements involve creating a single hybrid recommendation system that combines a collaborative and content-based approach to improve the outcomes.
Calculation of the value of the functions of the complex variable with by an interval argument, we will design in the hyperbolic form

Information about the interval numbers presented in the classical form, the CENTER-RADIUS system and in the hyperbolic form is given. Rules for the transition from one of the forms of representation of interval numbers to others are proposed. Information is given on complex interval numbers, the real and imaginary parts of which are presented in hyperbolic form. The rules for performing basic arithmetic operations with these numbers and the calculation of interval values of power, exponential, logarithmic functions, direct and inverse trigonometric functions, direct and inverse hyperbolic functions are described. For functions of a complex variable, information about their real and imaginary parts is given. The list of functions corresponds to the functions of a complex variable included in the EXCEL system. Relationships are obtained for determining the real and imaginary parts of the secant, cosecant, tangent and cotangent functions for circular trigonometric and hyperbolic functions, which were absent in the most common reference literature. It is shown that the operations of multiplication, division and raising to an integer power are most appropriate to perform with complex interval numbers, which are defined in hyperbolic form. The operation of calculating the root of degree n from an interval complex number presented in hyperbolic form is most expediently performed using the CENTER-RADIUS system in combination with the hyperbolic form of representing the interval number. Relationships are obtained that make it possible to obtain a function of an interval complex variable equivalent to the original one and suitable for further work with complex functions and numbers presented in hyperbolic form and in the CENTER-RADIUS system. Examples illustrating the application of the proposed technique are given.