Reviewerly/exHarmony huggingface dataset:
Explainable and Local Correction of Classification Models Using Decision Trees

In practical machine learning, models are frequently updated, or corrected, to adapt to new datasets. In this study, we pose two challenges to model correction. First, the effects of corrections to the end-users need to be described explicitly, similar to standard software where the corrections are described as release notes. Second, the amount of corrections need to be small so that the corrected models perform similarly to the old models. In this study, we propose the first model correction method for classification models that resolves these two challenges. Our idea is to use an additional decision tree to correct the output of the old models. Thanks to the explainability of decision trees, the corrections are describable to the end-users, which resolves the first challenge. We resolve the second challenge by incorporating the amount of corrections when training the additional decision tree so that the effects of corrections to be small. Experiments on real data confirm the effectiveness of the proposed method compared to existing correction methods.
PENGARUH KEMAMPUAN BERBICARA SISWA DAN METODE PEMBELAJARAN ROLE PLAYING TERHADAP HASIL BELAJAR NOVEL

Speaking skills and role-playing learning methods are variables used to determine their impact on student achievement. Students' learning achievement is expected to be known through discussion of novel subject matter where students can interpret their knowledge by speaking and interacting with the novel's contents through role-playing. The population of this study was students of VIII-C SMP Kemala Bhayangkari 1 Medan with a total of 24 research samples. One group pretest-posttest design was used to test the research hypothesis about the effect of the role-playing learning method on student achievement. On the other hand, this study also interprets the results of observations, questionnaires, and interviews as primary data to strengthen the analysis of the hypothesis testing obtained. In the end, this research shows that there are 27.8% of students do not master speaking skills with a total of 73.6% of students whose speaking skills need to be improved and only 26.4% of students who have speaking skills. The results of the study also illustrate that appearing in public places, asking questions when studying in class, and discussing lesson topics while studying in class are the 3 main factors that need to be optimized by students. The hypothesis test shows the value of sig &gt; which means accepting H0 that there is no difference in the students' pretest and posttest scores so that the role-playing learning method has not had a different effect on student achievement.
An improved group teaching optimization algorithm for global function optimization

Abstract This paper proposes an improved group teaching optimization algorithm (IGTOA) to improve the convergence speed and accuracy of the group teaching optimization algorithm. It assigns teachers independently for each individual, replacing the original way of sharing the same teacher, increasing the evolutionary direction and expanding the diversity of the population; it dynamically divides the students of the good group and the students of the average group to meet the different needs of convergence speed and population diversity in different evolutionary stages; in the student learning stage, the weak self-learning part is canceled, the mutual learning part is increased, and the population diversity is supplemented; for the average group students, a new sub-space search mode is proposed, and the teacher's teaching method is improved to reduce the diversity in the population evolution process. and propose a population reconstruction mechanism to expand the search range of the current population and ensure population diversity. Finally, the experimental results on the CEC2013 test suite show that IGTOA has clear advantages in convergence speed and accuracy over the other five excellent algorithms.
English Language Functions Used by Butlers at Pandawa Beach Villas &amp; Spa

English is an international language that is expected to be well-versed in. It can be learned and mastered in school or at a training facility. This paper looked at the different types, functions, and expressions of English used by Butler at Pandawa Beach Villas and Spa. The theories used in this study were those proposed by Blundell and Higgens (1983) in their book Function in English, the second theory proposed by Jones (1981) in his book Function of English, and the supporting theory proposed by Bruce Tillit and Mary Newton Bruders (1985) in their book Speaking Naturally. The research method was broken down into three parts: data source, data collection, and data analysis. Butler staff served as respondents in the study, and the data were collected using a note-taking technique that recorded the conversation between the guest and the butlers. The theory was used to analyze the data. The analysis revealed that the butler was able to communicate with the guest. The butlers used the English functions greeting, asking length of stay, giving price, offering help, requesting, asking for permission, getting information, giving information, apologizing, and thanking to communicate with the guests.&#x0D; Keywords: sociolinguistic, language function, Butlers at Pandawa Beach Villas &amp; Spa
Properties of The Discrete Sinc Quantum State and Applications to Measurement Interpolation

Extracting the outcome of a quantum computation is a difficult task. In many cases, the quantum phase estimation algorithm is used to digitally encode a value in a quantum register whose amplitudes' magnitudes reflect the discrete sinc function. In the standard implementation the value is approximated by the most frequent outcome, however, using the frequencies of other outcomes allows for increased precision without using additional qubits. One existing approach is to use Maximum Likelihood Estimation, which uses the frequencies of all measurement outcomes. We provide and analyze several alternative estimators, the best of which rely on only the two most frequent measurement outcomes. The Ratio-Based Estimator uses a closed form expression for the decimal part of the encoded value using the ratio of the two most frequent outcomes. The Coin Approximation Estimator relies on the fact that the decimal part of the encoded value is very well approximated by the parameter of the Bernoulli process represented by the magnitudes of the largest two amplitudes. We also provide additional properties of the discrete sinc state that could be used to design other estimators.
Assessing academic librarians’ awareness on the importance and knowledge of collection development policy in Nigeria

Despite the importance of collection development policy (CDP) in developing library collection, little has been written about the awareness and knowledge of those who are responsible for formulating, maintaining, and updating this policy, especially in Nigeria where collection development challenges seem to be rampant. Therefore, this study assesses Nigerian academic librarians’ awareness on the importance and knowledge of CDP and also determines whether academic librarians’ educational level and working experience influence their awareness on the importance and knowledge of CDP. The study employed a quantitative methodology using a survey research design. One hundred and thirty-six (I36) academic librarians were recruited from three selected academic libraries in the Northwestern zone of Nigeria using a random sampling method. A survey questionnaire developed based on the IFLA (2001) guideline for collection development policy was used to collect the data. Descriptive and Spearman correlational analyses were used to analyze the data. The findings of the study revealed that academic librarians had a high level of awareness on the importance and knowledge of CDP. The findings also revealed that academic librarians’ educational level influenced their awareness on the importance (p = .000) and knowledge of CDP (p = .009). However, academic librarians’ working experience did not influence their awareness on the importance (p = .100) and knowledge of CDP (p = .307). This study has contributed to the management of academic libraries by providing useful information on the importance and knowledge of CDP among academic librarians in Nigeria. The study suggests that various educational programs are necessary to continue to improve the awareness on the importance and knowledge of CDP among library professionals in Nigeria.
Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data

The growing availability of data about online information behaviour enables new possibilities for political communication research. However, the volume and variety of these data makes them difficult to analyse and prompts the need for developing automated content approaches relying on a broad range of natural language processing techniques (e.g. machine learning- or neural network-based ones). In this paper, we discuss how these techniques can be used to detect political content across different platforms. Using three validation datasets, which include a variety of political and non-political textual documents from online platforms, we systematically compare the performance of three groups of detection techniques relying on dictionaries, supervised machine learning, or neural networks. We also examine the impact of different modes of data preprocessing (e.g. stemming and stopword removal) on the low-cost implementations of these techniques using a large set (n = 66) of detection models. Our results show the limited impact of preprocessing on model performance, with the best results for less noisy data being achieved by neural network- and machine-learning-based models, in contrast to the more robust performance of dictionary-based models on noisy data.
A Dynamic Face Mask Detection using Deep Learning

Abstract: The spread of COVID-19 pandemic has created a crucial global health crisis of the world, that has had a deep impact on humanity and the way we perceive our world and our everyday lives. Masks are very effective when it comes to prevention of spreading of the virus, this is how this idea came into picture. And since marks are compulsory in public places, mask detection can be useful if implemented. The proposed work is implemented on live video, that is from webcam in this case. It detects the person from the video and then checks if the person is wearing a mask or not.
Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments

Text-based simulated environments have proven to be a valid testbed for machine learning approaches. The process of affordance extraction can be used to generate possible actions for interaction within such an environment. In this paper the capabilities and challenges for utilizing external knowledge databases (in particular ConceptNet) in the process of affordance extraction are studied. An algorithm for automated affordance extraction is introduced and evaluated on the Interactive Fiction (IF) platforms TextWorld and Jericho. For this purpose, the collected affordances are translated into text commands for IF agents. To probe the quality of the automated evaluation process, an additional human baseline study is conducted. The paper illustrates that, despite some challenges, external databases can in principle be used for affordance extraction. The paper concludes with recommendations for further modification and improvement of the process.
ReLER@ZJU-Alibaba Submission to the Ego4D Natural Language Queries Challenge 2022

In this report, we present the ReLER@ZJU-Alibaba submission to the Ego4D Natural Language Queries (NLQ) Challenge in CVPR 2022. Given a video clip and a text query, the goal of this challenge is to locate a temporal moment of the video clip where the answer to the query can be obtained. To tackle this task, we propose a multi-scale cross-modal transformer and a video frame-level contrastive loss to fully uncover the correlation between language queries and video clips. Besides, we propose two data augmentation strategies to increase the diversity of training samples. The experimental results demonstrate the effectiveness of our method. The final submission ranked first on the leaderboard.
[La diagnosi psicopatologica nel lavoro psicologico-psichiatrico]

The psychopathological diagnosis, which is crucial in the psychological-psychiatric work, is performed through tests and interviews aimed at evaluating the cognitive processes and the patients’ behavior. Feeling-thinking-communicating-acting process is particularly important, as it characterizes patients’ evolutionary phases and allows to move closer to the diagnosis.In this study, three patients with different psychological-psychiatric pathologies are described. For each case, verbal and non-verbal communication and psycho-emotional and cognitive sequence are analyzed. After this description, psychodiagnostic test results are discussed in order to highlight signs and symptoms of considered subjects.The described method allows to “explore” psychodynamic spaces hidden by psychic defenses that prevent a clear understanding of the psychic functioning and the operative plot at the intra- and inter-personal level of the subject.
Structure Analysis and Moral Message the Legend of Mount Pinang as Teaching Materials in Vocational High School

This research is aimed at understanding the text structure and the moral value of Legenda Gunung Pinang and their application as teaching material. Qualitative descriptive method is applied in this research. The analysis of the text structure shows that there are theme, characters, story board, point of view and message. The way how to apply the Legenda Gunung Pinang as the use of local literature for teaching literature appreciation in SMK can be seen in the syllabus and the lesson plan. The use of Legenda Gunung Pinang as the teaching material for literature appreciation can increase the students’ love to their local literature and culture and it is also used as a media for applying the noble values of the culture in a legend.
Research on the Construction of Administrative Teams in Universities under the Background of the New Normal

Under the new normal, the state and society put forward higher requirements for the efficiency and level of administrative services in universities. It is necessary to speed up the scientific, modern and professional construction of administrative teams in universities, carry out higher quality management and services in them, and provide comprehensive guarantee for teaching and scientific research in universities. This paper analyzes the current situation and problems in the construction of university administration team, discusses the effective path of the construction of university administration team, and promotes it from the aspects of system, mechanism, technology, mode and talent training, so as to comprehensively speed up the improvement and upgrading of university administration and service.
ONE CLASS OF SMOOTH BOUNDED SOLUTIONS TO THE CAUCHY PROBLEM FOR A THREE-DIMENSIONAL FILTRATION MODEL WITH DARCY'S LAW

In the filtration theory there are numerous approaches to solving three-dimensional problems of fluid motion in a porous medium. Basically, the solutions of such problems are obtained by numerical methods. The question of finding an analytical solution of precisely three-dimensional problems of fluid motion is open. The first results on the use of the apparatus of four-dimensional mathematics for solving the three-dimensional model of the Navier-Stokes equations by the analytical method were obtained by the Kazakh mathematician Professor M.M. Abenov. After the author of this article with other researchers proved the theorem on the existence of a solution to the Cauchy problem for a three-dimensional model of filtration theory. This paper is devoted to the study of a three-dimensional model of the filtration theory in one of the spaces of four-dimensional numbers. The purpose of this article is to obtain an analytical solution of the three-dimensional Cauchy problem for the mathematical model of linear filtration model by the method of four-dimensional regular functions.&nbsp; In this study, a class of infinitely differentiable and bounded functions of the initial conditions of the Cauchy problem, satisfying the Cauchy-Riemann condition, with five degrees of freedom for a specific four-dimensional function is found, and also a class of infinitely differentiable and bounded solutions of this problem is found that satisfy the linear Darcy law.
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning

Semantic image interpretation can vastly benefit from approaches that combine sub-symbolic distributed representation learning with the capability to reason at a higher level of abstraction. Logic Tensor Networks (LTNs) are a class of neuro-symbolic systems based on a differentiable, first-order logic grounded into a deep neural network. LTNs replace the classical concept of training set with a knowledge base of fuzzy logical axioms. By defining a set of differentiable operators to approximate the role of connectives, predicates, functions and quantifiers, a loss function is automatically specified so that LTNs can learn to satisfy the knowledge base. We focus here on the subsumption or \texttt{isOfClass} predicate, which is fundamental to encode most semantic image interpretation tasks. Unlike conventional LTNs, which rely on a separate predicate for each class (e.g., dog, cat), each with its own set of learnable weights, we propose a common \texttt{isOfClass} predicate, whose level of truth is a function of the distance between an object embedding and the corresponding class prototype. The PROTOtypical Logic Tensor Networks (PROTO-LTN) extend the current formulation by grounding abstract concepts as parametrized class prototypes in a high-dimensional embedding space, while reducing the number of parameters required to ground the knowledge base. We show how this architecture can be effectively trained in the few and zero-shot learning scenarios. Experiments on Generalized Zero Shot Learning benchmarks validate the proposed implementation as a competitive alternative to traditional embedding-based approaches. The proposed formulation opens up new opportunities in zero shot learning settings, as the LTN formalism allows to integrate background knowledge in the form of logical axioms to compensate for the lack of labelled examples.
Traditional Rites of the Khanty and Mansi Peoples in the Professional Training of Future Teachers of Visual Arts

The article is devoted to the problems of professional training of future teachers of fine arts. The purpose of the work is to consider the role and significance of the study by students of the Faculty of Arts and Design of traditional religious rites and holidays of the peoples of the Far North, the Khanty and Mansi. The material for the study was the traditional rites of the peoples of the Khanty and Mansi. Based on the method of theoretical analysis, the pedagogical potential of the traditional rites of the Khanty and Mansi peoples was revealed and the pedagogical conditions for the process of professional training of students – future teachers of fine arts were substantiated. The article describes in detail the traditions associated with hunting, fishing; the most common folk holidays associated with the bear, elk, crow day; national rites – wedding, funeral, rite of birth of a child. Comprehension and understanding of the world are reflected in oral folk art, legends, legends, myths, folklore. The future teacher of fine arts needs to know the traditional way of life of the indigenous people of Ugra, so that in his pedagogical work he can convey artistic and creative experience to schoolchildren. In conclusion, a description of the main pedagogical conditions for preparing students – future teachers of fine arts for professional activities, taking into account national traditions and the ethno-cultural specifics of the region, is given.
Ecolexicon and Ecotext of Bale Sangkep in Green School Bali

Ecolinguistics examines the whole nature of the relationship between language and the environment which is an expression of the entire reality of human life. GSB is an educational environment that preserves nature with the concept of local wisdom with a natural perspective. Lexicons derived from local, national, and global languages are widely used in naming buildings, academic activities, and daily activities. This study aimed to describe the ecolexicon and ecotext found in the bale sangkep in GSB. There were 2 research focuses, first, to describe the form, meaning, and grammatical categories of the ecolexicon; second, to describe the tridimensional ecotext social praxis found in the bale sangkep in GSB. The research was conducted with a descriptive approach with qualitative methods. Data collection is done through observation, documentation, and interview methods. The data were analyzed by applying the identity method and the distributional method. The results of the study showed that there are 89 lexicons related to the bale sangkep GSB. Lexicons are identified based on grammatical categories, meanings, and the existence of their environment. The total lexicons found were 69 lexicons which categorized as nouns consisted of 19 nouns in the form of basic words, 3 nouns in the form of derivatives, 1 noun which is a compound word, and 46 other noun lexicons in the form of noun phrases. Meanwhile, the other 20 lexicons were lexicons categorized as verbs, where 1 lexicon is a basic verb, and 19 lexicon is a derivative verb. The tridimensional of the ecotext were viewed from: the biological dimension, the speaker’s understanding of the physical entity of the lexicon; sociological dimension, the closeness of speakers through the use and way of implementing the lexicon entity; and ideological dimensions, collective relations, cognitive and psychological systems of speakers in the form of beliefs and beliefs about lexicon references. It can be concluded that this study reveals the richness of the lexicon in GSB as supporting data for ecolinguistics.&#x0D; Keywords: ecolinguistics, ecolexicon, ecotext, Bale sangkep, grammatical category, social practice
Students’ Perception toward Online Learning in Pandemic Situations in English Speaking Classrooms

This study was aimed to know the students’ perception of online learning on Public Speaking class during Covid-19 pandemic. This study was the qualitative descriptive approach. Three instruments were used to collect the data, those are: observations, interview, and documentation. The subject of this study were the second semester students of the English Education Study Program in IAIN Palangka Raya. Purposive sampling was used to determine them based on some criteria needed. The result of this research viewed that students enjoyed online learning during the Covid-19 pandemic because they feel happy that they can still learn even through online learning. In a pandemic situation, they find it helpful to have online learning through applications that make it easier for them to learn to speak, such as WhatsApp and Google meet. Their lecturer also explain the material well, making it easier for students to understand the material. However, some students considered that they were dissatisfied through online learning in speaking classes because they could not meet face to face when learning public speaking