Reviewerly/exHarmony huggingface dataset:
Understanding the impact of supporting conceptual information design

Abstract This article argues that supporting conceptual information design should be a priority as it could better equip design practitioners for their jobs. Findings from a longitudinal evaluation of a tool – MapCI Cards – using multiple methods to assess the impact of supporting conceptual design in professional practice are reported here. Internal and external factors emerged as having an adverse influence on information designers’ responses to conceptual design. Increased conceptual design awareness and more confident decisions resulted from working with a support tool. Structure, flexibility, and externalizations are indicated as possible ways to effectively support conceptual information design. The article ends with recommendations for future support tools.
Design of a Graph Neural Network: to predict the optimal resolution of the Sonar Performance Model

Graph Neural Networks are a unique type of Deep Learning models that have a capability to exploit an explicitly stated structure of data representation. By design they carry a strong relational inductive bias, which is a set of assumptions that makes the algorithm prioritize some solutions over another, independent of observed data. This makes the method especially interesting for applications to problems, that are naturally relation-centric, or in which local interactions between features are the main value of interest. The presented research case, aims to explore GNN potential in application to an Ocean Acoustics problem. Using the geometric ray-tracing algorithm, BELLHOP, a large number of underwater sound propagation scenarios was simulated. Each scenario is described by a limited set of parameters and a Sound Speed Profile function. The latter, acting as a guideline for estimating paths of rays travelling through a water column, has a critical impact on sound propagation mode. For the data-driven model to effectively capture the acoustic phenomena, requires a mean of representing interactions in very scarce feature space and especially with respect to the nonlinear function representation of the sound speed. First, the solution of the problem is approached with a traditional Machine Learning model, a decision-tree algorithm XGBoost. In effect, some important characteristics of the collected data sample are revealed. Moreover, by testing inference capacity of the database with a reliable algorithm, gives an estimate of the properties of the Sound Speed Profile that have the biggest impact on sound propagation. It is proven, that with carefully engineered features, that include a degree of added expert knowledge, a standard model can achieve good accuracy of prediction. Secondly, a Knowledge Graph is designed to represent the whole context of explicitly stated expert knowledge, using concepts from Hydroacoustics. They are encoded in a form of relational structure connecting actual features of the data into logical categories. In this representation it can be used by the Knowledge Graph Convolutional Network model designed for the problem. A range of tests performed on KGCN proves that using a Graph Neural Network can be feasible to solve the problem, however it also reveals a range of issues regarding model's capability to handle the complexity of problem statement.
SYNTACMATIC ANALYSIS OF OVER: PATTERNING THE ANALYSIS AND THE FEATURES

The title of this article is “An Analysis of Over in Gabriel Garcia Marquez’s Novel “One Hundred Years of Solitude” (Syntactic and Semantic Analysis)”. This research is analyzed by syntactic and semantic analysis. The aim of this research is to find out the features of over based on the structure in a sentence in Gabriel Garcia Marquez’s novel “One Hundred Years of Solitude”, whether they are used as an adverb, an adjective, a preposition, or a phrasal verb through syntactic and semantic analysis. And also to identify the meaning of o ver found in a sentence in novel “One Hundred Years of Solitude” through syntactic and semantic analysis based on the structure. This research employs qualitative descriptive research. The data are taken from novel “One Hundred Years of Solitude” by Gabriel Garcia Marquez. In result, the researcher found that word over not only has function as pure preposition, but also as an adverb, an adjective, and a particle in phrasal verb. It can be seen from the position and function of over in a sentence. In semantic analysis, the particle over is analyzed as a pure preposition, an adverb, an adjective, and a particle in phrasal verb based on definition of over from Oxford Learner’s Pocket Dictionary, The Merriam-Webster Dictionary Application, and Wiktionary the Free Dictionary Online.
Development of System for Study on Human Recognition Influenced by Changing Button-push Sensation

Recently, physical buttons that can be operated with a small amount of force are used to operate information devices. Some of them can involve user’s recognition of completing their operation easily. An example of such attempt is the button with nonlinearity in the relationship between stroke and reaction force. There, however, is not enough quantitative evaluation between the sensation of pushing and the perception of operation through buttons yet. The purpose of this study is to quantitatively evaluate the relationship between the sensation of pushing a button and the easiness of operation recognition. In this article, an experimental apparatus fabricated for the quantitative evaluation is introduced. It consists of a voice coil motor as an actuator, a leaf spring that limits the movement direction to the vertical direction, a displacement sensor, a force sensor and a key top. In this experimental apparatus, vertical displacement and force can be controlled. Therefore, kinesthetic sensation during pushing a physical button can be simulated. For the simulation, the force and displacement should be controlled according to the pushing action. To build the controller, parameters such as drive part mass of the experimental apparatus, the leaf spring constant, and the thrust constant of the voice coil motor were identified.
LibGuides: Tips on Studying & Reading for College: Listening & Taking Notes

Improve your techniques for listening and taking notes, reading on a college level, studying and memorizing, and prepping for exams.
LibGuides: Spanish 125 & 126: Grammar and Composition - Oakland Campus: Evaluating Internet Sources

A guide to assist students in the Hispanic Department with the Grammar and Composition classes - Spanish 125 & 126
ANXIETY IN SPEAKING ENGLISH AMONG HIGH SCHOOL STUDENTS IN PONTIANAK

Studies on learning anxiety of EFL learners have been done by many educators. Different experts have investigated the issue of learning anxiety from different perspectives. It is believed that students' anxiety has an impact on language learning, especially in learning speaking. In Indonesia, English is learned as a foreign language at high school levels. This study intended to investigate the anxiety factors in the speaking performance that faced by grade 12 students at SMA Santu Petrus in Pontianak. There are two purposes of this study (1) To investigate the factors that cause students to feel anxious when they speak English, and (2) to find out the most dominant factors that cause the students’ anxiety in speaking English. Data were analyzed using a qualitative descriptive method and were obtained by conducting interviews and observation. The findings indicated that there were factors that triggered the feeling of anxiety among the students when they speak English, namely: rumination, fear of feedback and avoidance and the most dominant factor was avoidance.
Expression Level of Cyclin-D1 between Endometriomas and Ovarian Carcinomes

Endometrioma on the ovaries is a benign gynecological disorder that is often found in women of reproductive age. The approach was made to the malignant transformation through the study of cyclin-D1 expression. This research aim to analyze differences in the level of Cyclin-D1 expression in ovarian endometriosis and ovarian carcinoma associated with the pathogenesis of endometrioma and ovarian carcinoma. Analytical observational study with cross sectional approach to cyclin-D1 expression between endometrioma and ovarian carcinoma with good and bad differentiation. The research subjects were 20 cases of endometrioma, each of the 20 cases of ovarian carcinoma were well and poorly differentiated. Statistical analysis using the ANOVA test on the level of cyclin-D1 expression between groups. The mean cyclin-D1 expression in endometrioma was 67.25. The mean of well-differentiated ovarian carcinoma was 132.41. The mean of poorly differentiated ovarian carcinoma was 128.83. Anova test resulted in a significant difference between the expression of cyclin-D1 endometrioma and ovarian carcinoma with good and bad differences (p = 0.00 0.05). There is a significant difference between endometrioma and ovarian carcinoma with good and bad differentiation. Endometrioma cyclin-D1 expression was lower than ovarian carcinoma with good and bad differentiation.
Nearly Linear-Time, Deterministic Algorithm for Maximizing (Non-Monotone) Submodular Functions Under Cardinality Constraint

A deterministic, nearly linear-time, approximation algorithm FastInterlaceGreedy is developed, for the maximization of non-monotone submodular functions under cardinality constraint. The approximation ratio of $1/4 - \varepsilon$ is an improvement over the next fastest deterministic algorithm for this problem, which requires quadratic time to achieve ratio $1/6 - \varepsilon$. The algorithm FastInterlaceGreedy is a novel interlacing of multiple greedy procedures and is validated in the context of two applications, on which FastInterlaceGreedy outperforms the fastest deterministic and randomized algorithms in prior literature.
Five Generic Processes for Behavior Description in Software Engineering

Behavior modeling and software architecture specification are attracting more attention in software engineering. Describing both of them in integrated models yields numerous advantages for coping with complexity since the models are platform independent. They can be decomposed to be developed independently by experts of the respective fields, and they are highly reusable and may be subjected to formal analysis. Typically, behavior is defined as the occurrence of an action, a pattern over time, or any change in or movement of an object. In systems studies, there are many different approaches to modeling behavior, such as grounding behavior simultaneously on state transitions, natural language, and flowcharts. These different descriptions make it difficult to compare objects with each other for consistency. This paper attempts to propose some conceptual preliminaries to a definition of behavior in software engineering. The main objective is to clarify the research area concerned with system behavior aspects and to create a common platform for future research. Five generic elementary processes (creating, processing, releasing, receiving, and transferring) are used to form a unifying higher-order process called a thinging machine (TM) that is utilized as a template in modeling behavior of systems. Additionally, a TM includes memory and triggering relations among stages of processes (machines). A TM is applied to many examples from the literature to examine their behavioristic aspects. The results show that a TM is a valuable tool for analyzing and modeling behavior in a system.
I bambini dimenticati in auto e la questione dell’imputabilità. Considerazioni psichiatrico-forensi

By looking at the basic aspects of imputability in regards to the events of children abandoned in the car, this article aims at highlighting some new complex aspects. The most common diagnostic evaluation usually focuses on the presence of a dissociative amnesia at the moment of the event, suitable for a diminished responsibility. This is also in accordance with the neuroscientific approach which tends to assert an organic cause for any psychiatric pathology. By doing so, the causative role of the clinical aspects leading to the offence is diminished. The author proposes the introduction of some principle of the Human Birth Theory in the forensic-psychiatric practice. These could provide some innovative tools to psycho-dynamically identify and comprehend complex and apparently unexplainable events.
Pedagogical values as the basis of the didactic culture’s axiological component

The article is devoted to the study of pedagogical values that form the basis of didactic culture. Its purpose is to study the essence of didactic culture, identify its components, study the axiological component, its value basis, and describe values and their classification. The work is devoted to the study of didactic culture, clarifying its definition in the pedagogical literature, describing its structure, in particular its axiological component, which gives an idea of pedagogical values. The article focuses on the study of pedagogical values, identification and description of their types. Included observation method, system method, description method, and analysis method used in the study. The novelty of the article lies in the fact that the work provides a critical understanding of research on didactic culture; it introduces definitions of didactic culture into scientific use, focuses on the essence of pedagogical values and describes them, and for the first time makes a more complete classification of pedagogical values. In the process of research scientific results: the interrelation of cultural approach in pedagogical values; identified their didactic nature and relevance to the implementation of educational activities; defined and specified types of educational values
A Novel Weighted FP-Stream Algorithm for IoT Data Streams

The Internet of Things (IoT) is a technology that is being widely used in daily life. This technology makes it easier for devices to connect with each other. As a result of the high connectivity between devices, enormous volumes of data are being collected. Such data is called big streaming data which can be used to curate useful information by data mining techniques. One of the most used processing methods is called Frequent Itemset (Pattern) Mining (FIM) which detects recurring and common patterns over data streams. In this paper, a new algorithm based on frequently used FP-Stream algorithm is presented. The proposed algorithm enhances conventional FP-Stream algorithm to make it more adaptive to concept drifts when retaining its applicability to data streams. Conventional FP-Stream algorithms store all detected patterns. By adding weights during the pruning process based on pattern freshness, the proposed algorithm prioritizes newer patterns thereby learns new patterns and forgets older one swiftly. Performance evaluations are performed using data acquired from an IoT testbed established in KAVEM Lab of Gazi University. Evaluation results indicate that the proposed algorithm performs better than conventional FP-Stream significantly.
STUDENT’S SELF-GOVERNMENT IN THE HIGHER EDUCATION SYSTEM AND ITS IMPACT ON THE DEVELOPMENT OF SOCIAL ACTIVITY OF STUDENTS AND TRAINING OF PROFESSIONAL STAFF

The article explores the concept, objectives and principle of student’s self-government in the system of modern higher education in the Russian Federation. The paper analyzes the impact of student’s self-government on the development of student’s social activity and the formation of a socially adapted personality among students, also the impact on the training of professional staff.
PENERAPAN SISTEM INFORMASI BERBASIS KOMPUTER SEBAGAI PENDUKUNG PELAYANAN PENDIDIKAN TEKNIS DAN ADMINISTRATIF PERPUSTAKAAN BERBASIS DIGITAL

Implementation of Community Service at Secondary School in Tanjung Duren Barat III No. 1 Jakarat, precisely Yayasan Pendidikan Al Chasanah aims to share knowledge or transfer knowledge about the implementation of computer-based information system as a support of education services to Teachers and Education Staff to understand and be able to develop learning according to their needs. Specific targets to be achieved are the understanding and ability to implement computer-based information system as a supporter of education services at Yayasan Pendidikan Al Chasanah in order to be able to adjust from the demands and needs of the business world and industry, as supporter and source of extension libraries are also provided on the technical and administrative side digital-based libraries. The method used in the form of counseling with practical delivery through the transfer of knowledge and serving the role and function of libraries to improve education services so that really can be accepted and increase the essence of knowledge and skills of Teachers and Education Staff.
PODCAST MEDIA AS A LINE LEARNING ALTERNATIVE AND STIMULATION OF STUDENT LANGUAGE SKILLS

This article aims to describe podcast media as an alternative to online learning and to stimulate students' language skills. During the Covid-19 pandemic, face-to-face learning was converted into online learning or learning from home (BDR). This requires teachers or lecturers to be more creative and innovative in choosing learning media or making teaching materials that can achieve learning objectives. Likewise, students are required to have skills in using learning media. The use of podcast media is one of the alternatives used in learning by lecturers, such as several courses in the Indonesian Language and Literature Education program, FKIP, Suryakancana University. The method in this research is descriptive qualitative. The data collection technique used a google form questionnaire with Indonesian Literature and Language Education student respondents. Questionnaire in the form of student responses about learning using podcast media and stimulation in student language skills. In this study, language skills were focused on listening and speaking skills
Approximate Similarity Search Under Edit Distance Using Locality-Sensitive Hashing

Edit distance similarity search, also called approximate pattern matching, is a fundamental problem with widespread database applications. The goal of the problem is to preprocess n strings of length d, to quickly answer queries q of the form: if there is a database string within edit distance r of q, return a database string within edit distance cr of q. Previous approaches to this problem either rely on very large (superconstant) approximation ratios c, or very small search radii r. Outside of a narrow parameter range, these solutions are not competitive with trivially searching through all n strings.In this work we give a simple and easy-to-implement hash function that can quickly answer queries for a wide range of parameters. Specifically, our strategy can answer queries in time O(d3^rn^{1/c}). The best known practical results require c ≫ r to achieve any correctness guarantee; meanwhile, the best known theoretical results are very involved and difficult to implement, and require query time that can be loosely bounded below by 24^r. Our results significantly broaden the range of parameters for which there exist nontrivial theoretical bounds, while retaining the practicality of a locality-sensitive hash function.
Assessing the Students' Understanding and their Mistakes in Code Review Checklists

Code review is a widely-used practice in software development companies to identify defects. Hence, code review has been included in many software engineering curricula at universities worldwide. However, teaching code review is still a challenging task because the code review effectiveness depends on the code reading and analytical skills of a reviewer. While several studies have investigated the code reading techniques that students should use to find defects during code review, little has focused on a learning activity that involves analytical skills. Indeed, developing a code review checklist should stimulate students to develop their analytical skills to anticipate potential issues (i.e., software defects). Yet, it is unclear whether students can anticipate potential issues given their limited experience in software development (programming, testing, etc.). We perform a qualitative analysis to investigate whether students are capable of creating code review checklists, and if the checklists can be used to guide reviewers to find defects. In addition, we identify common mistakes that students make when developing a code review checklist. Our results show that while there are some misconceptions among students about the purpose of code review, students are able to anticipate potential defects and create a relatively good code review checklist. Hence, our results lead us to conclude that developing a code review checklist can be a part of the learning activities for code review in order to scaffold students’ skills.
Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations.

We consider black-box optimization in which only an extremely limited number of function evaluations, on the order of around 100, are affordable and the function evaluations must be performed in even fewer batches of a limited number of parallel trials. This is a typical scenario when optimizing variable settings that are very costly to evaluate, for example in the context of simulation-based optimization or machine learning hyperparameterization. We propose an original method that uses established approaches to propose a set of points for each batch and then down-selects from these candidate points to the number of trials that can be run in parallel. The key novelty of our approach lies in the introduction of a hyperparameterized method for down-selecting the number of candidates to the allowed batch-size, which is optimized offline using automated algorithm configuration. We tune this method for black box optimization and then evaluate on classical black box optimization benchmarks. Our results show that it is possible to learn how to combine evaluation points suggested by highly diverse black box optimization methods conditioned on the progress of the optimization. Compared with the state of the art in black box minimization and various other methods specifically geared towards few-shot minimization, we achieve an average reduction of 50\% of normalized cost, which is a highly significant improvement in performance.
Crime and criminality in the Republic of North Macedonia. A general overview of the period 1991–2018

Yugoslavia’s disintegration in the 1990s resulted in the differentiation of five different countries, meaning the building of five different criminal legal systems with many similarities at that time, but also with differences in the years to come. The Republic of North Macedonia brought its first Criminal Code in 1996, decriminalising some of the previous crimes connected to socialist system norms, and criminalising activities characteristic of capitalist social systems. From its basic draft, the Criminal Code had been changed twenty-eight times by 2018 in accordance with crime changes and flows, and societal changes. Using crime statistics published by the Republic of North Macedonia’s State Statistical Office in an annual publication, ‘Perpetrators of Crimes’, this paper’s goal will be to present the trends in crime volume and dynamics, the changes in the breakdownof crimes as result of decriminalisation and criminalisation, and the possible future challenges and changes, as well as the trends and changes to the state’s criminal policy, the frequent use of imprisonment as a sanction, and the very rare use of alternative measures apart from probation. The authors will use the comparative method, basic statistics, and content analysis in the general overview of crime volume and dynamics, crime structure, and structural changes. Such an analysis can help in tackling the most important chronological points during the period in question and connect them with political, social, security, and economic challenges for the country.