Reviewerly/exHarmony huggingface dataset:
Evaluation Datasets for Cross-lingual Semantic Textual Similarity

Semantic textual similarity (STS) systems estimate the degree of the meaning similarity between two sentences.Cross-lingual STS systems estimate the degree of the meaning similarity between two sentences, each in a different language.State-of-the-art algorithms usually employ a strongly supervised, resource-rich approach difficult to use for poorly-resourced languages.However, any approach needs to have evaluation data to confirm the results.In order to simplify the evaluation process for poorlyresourced languages (in terms of STS evaluation datasets), we present new datasets for cross-lingual and monolingual STS for languages without this evaluation data.We also present the results of several state-of-the-art methods on these data which can be used as a baseline for further research.We believe that this article will not only extend the current STS research to other languages, but will also encourage competition on this new evaluation data.
Design of Network Course of Modern Educational Technology

With the advent of knowledge economy, the society has higher and newer requirements for talents. The traditional form of education has been difficult to meet people's demand for knowledge, and the form of network education came into being. Its rise and development meet the new needs of talent training. Against this background, countries have started the construction of online courses and open resources.It is hoped that this study will play a certain reference role in the construction of network courses in other disciplines.
Project activity at the university

Project activity as a kind of pedagogical technology of higher education is widely used today in the world and in modern Russia. The optimal application of this method is impossible without the knowledge with its history, the experience of fellow teachers, and understanding the modern problems of educational design at the university. The beginning of the path of mastering this method in the world and in our country, a path that was sometimes difficult and ambiguous, is explored in this work. The propositions expressed by the first researchers in this field were developed by them within the framework of both higher and secondary schools. Therefore, this paper considers pedagogical technologies not only of higher, but also of secondary education. The purpose of this work is to identify the deep essence of project activity as a method, paying attention to the ideas that formed its basis, and modern problems.
How do loss functions impact the performance of graph neural networks?

Graph neural networks (GNNs) have become the de facto approach for supervised learning on graph data.To train these networks, most practitioners employ the categorical cross-entropy (CE) loss. We can attribute this largely to the probabilistic interpretability of models trained using CE, since it corresponds to the negative log of the categorical/softmax likelihood.We can attribute this largely to the probabilistic interpretation of CE, since it corresponds to the negative log of the categorical/softmax likelihood.Nonetheless, recent works have shown that deep learning models can benefit from adopting other loss functions. For instance, neural networks trained with symmetric losses (e.g., mean absolute error) are robust to label noise. Nonetheless, loss functions are a modeling choice and other training criteria can be employed — e.g., hinge loss and mean absolute error (MAE). Perhaps surprisingly, the effect of using different losses on GNNs has not been explored. In this preliminary work, we gauge the impact of different loss functions to the performance of GNNs for node classification under i) noisy labels and ii) different sample sizes. In contrast to findings on Euclidean domains, our results for GNNs show that there is no significant difference between models trained with CE and other classical loss functions on both aforementioned scenarios.
Passionate Love in Pablo Neruda’s Poems Drunk as Drunk, Your Feet, and Your Hands

This study aims to analyze Passionate Love in Pablo Neruda’s Poems Drunk as Drunk, Your Feet, and Your Hands. The objectives of the study are: (1) to find out the elements of passionate love in Pablo Neruda’s poems Drunk as Drunk, Your Feet, and Your Hands; and (2) to find out the factors contributing passionate love in Pablo Neruda’s poems Drunk as Drunk, Your Feet, and Your Hands. The theory used by the thesis writer is the theory of Passionate Love by Psychologist Elaine Hatfield and she also applies a qualitative research. Key words: Love, Passionate Love, Intense Feelings, Sexual Attraction.
Optimization of state assignment in a finite state machine

In this research, the application of the Simulated Annealing algorithm to solve the state assignment problem in finite state machines is investigated. The state assignment is a classic NP-Complete problem in digital systems design and impacts directly on both area and power costs as well as on the design time. The solutions found in the literature uses population-based methods that consume additional computer resources. The Simulated Annealing algorithm has been chosen because it does not use populations while seeking a solution. Therefore, the objective of this research is to evaluate the impact on the quality of the solution when using the Simulated Annealing approach. The proposed solution is evaluated using the LGSynth89 benchmark and compared with other approaches in the state-of-the-art. The experimental simulations point out an average loss in solution quality of 11%, while an average processing performance of 86%. The results indicate that it is possible to have few quality losses with a significant increase in processing performance.
Educational Significance and Enlightenment of In-depth Reading Activities in University Library Under New Media Environment

We introduce specifically various forms of reading activities carried out by university libraries using many characteristics of new media, and discuss the promotion effect of new media on deep reading through two feasibility cases of reading activities. We expound the educational significance of promoting deep reading in university library under the new media environment. At the same time, it puts forward the urgent problems and methods to make full use of new media in the deep reading activities of university libraries. It is pointed out that only by improving college students’ information literacy, innovating ideas and realizing the close combination of new media and reading promotion can university libraries advance with The Times and lead readers to realize in-depth reading. The application and promotion of this method have educational significance, and can promote the social progress.
Representing Increasing Virtual Machine Security Strategy in Cloud Computing Computations

This paper proposes algorithm for Increasing Virtual Machine Security Strategy in Cloud Computing computations. Imbalance between load and energy has been one of the disadvantages of old methods in providing server and hosting, so that if two virtual severs be active on a host and energy load be more on a host, it would allocated the energy of other hosts (virtual host) to itself to stay steady and this option usually leads to hardware overflow errors and users dissatisfaction. This problem has been removed in methods based on cloud processing but not perfectly, therefore,providing an algorithm not only will implement a suitable security background but also it will suitably divide energy consumption and load balancing among virtual severs. The proposed algorithm is compared with several previously proposed Security Strategy including SC-PSSF, PSSF and DEEAC. Comparisons show that the proposed method offers high performance computing, efficiency and consumes lower energy in the network.
Semantic Context Path Labeling for Semantic Exploration of User Reviews

In this paper we present a prototype demonstrator showcasing a novel method to perform semantic exploration of user reviews.The system enables effective navigation in a rich contextual semantic schema with a large number of hierarchically structured classes indicating relevant information.In order to identify instances of the structured classes in the reviews, we defined a new Information Extraction task called Semantic Context Path (SCP) labeling, which simultaneously assigns types and semantic roles to entity mentions.Reviews can thus rapidly be explored based on the finegrained and structured semantic classes.As a proof-of-concept, we have implemented this system for reviews on Points-of-Interest, in English and Korean.
Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing

Different linearizations have been proposed to cast dependency parsing as sequence labeling and solve the task as: (i) a head selection problem, (ii) finding a representation of the token arcs as bracket strings, or (iii) associating partial transition sequences of a transition-based parser to words.Yet, there is little understanding about how these linearizations behave in low-resource setups.Here, we first study their data efficiency, simulating data-restricted setups from a diverse set of rich-resource treebanks.Second, we test whether such differences manifest in truly low-resource setups.The results show that head selection encodings are more data-efficient and perform better in an ideal (gold) framework, but that such advantage greatly vanishes in favour of bracketing formats when the running setup resembles a real-world low-resource configuration.
Prototipe Sistem Keamanan Ganda Pada Kendaraan Roda Dua Berbasis Android dan WhatsApp Messenger

Entering 2020, the corona virus outbreak is spreading very quickly throughout the world, including Indonesia. This encourages the Indonesian government to make efforts and take handling policies to suppress the global spread of the corona virus or Covid-19. These policies did reduce the number of spreads but created new problems, such as increasing criminal acts and coupled with assimilation rights policies (freeing prisoners) during the Covid-19 pandemic which also resulted in an increase in crime rates, such as theft with weighting, motor vehicle theft, theft accompanied by violence, mugging, to beheading. One of the reasons for the increase in theft cases is the use of the situation when everyone is focused on handling Covid-19 and also the existence of security gaps. The security gap can be minimized, one of which is by developing technological innovation, therefore the author proposes a prototype for the development of a dual security system on two-wheeled vehicles with the latest technology. The results of the study, the system can provide notification information through the WhatsApp Messenger application in real time, as well as vehicle owners can control the vehicle remotely using the android application.
Anonymity and rewards in peer rating systems1

When peers rate each other, they may rate inaccurately to boost their own reputation or unfairly lower another’s. This could be mitigated by having a reputation server incentivise accurate ratings with a reward. However, assigning rewards becomes challenging when ratings are anonymous, since the reputation server cannot tell which peers to reward for rating accurately. To address this, we propose an anonymous peer rating system in which users can be rewarded for accurate ratings, and we formally define its model and security requirements. In our system ratings are rewarded in batches, so that users claiming their rewards only reveal they authored one in this batch of ratings. To ensure the anonymity set of rewarded users is not reduced, we also split the reputation server into two entities, the Rewarder, who knows which ratings are rewarded, and the Reputation Holder, who knows which users were rewarded. We give a provably secure construction satisfying all the security properties required. For our construction we use a modification of a Direct Anonymous Attestation scheme to ensure that peers can prove their own reputation when rating others, and that multiple feedback on the same subject can be detected. We then use Linkable Ring Signatures to enable peers to be rewarded for their accurate ratings, while still ensuring that ratings are anonymous. Our work results in a system which allows accurate ratings to be rewarded, whilst still providing anonymity of ratings with respect to the central entities managing the system.
Neural Network Backprogation Identifikasi Pola Harga Saham Jakarta Islamic Index (JII)

Jakarta Islamic Index (JII) is an organization engaged in the economy with the aim to pay attention to stock movements every day. With the JII, people who do not understand about shares and their movements, will be easy to know and understand the movement of shares that occur at certain times. The problem in this research is that many investors are unable to predict therise and fall of stock prices. The prediction process can be done with a backpropagation algorithm. The algorithmis a concept of computer science which is widely used in the case of analysis, prediction and pattern determination. The process starts from the analysis of the variables used namely interest rates, exchange rates, inflation rates and stock prices that occurred in the previous period. The variables used are continued in the formation of network patterns and continued in the process of training and testing in order to produce the best network patterns so that they are used as a process of identifying JII stock price movements. The results obtained in the form of the value of stock price movements with an error rate based on the MSE value of 11.85% so that this study provides information in the form of knowledge for making a decision. The purpose of the research is used as input for investors in identifying share prices. In the end, the benefits felt from the results of this study, investors can make an initial estimate before investing in JII.
Comparison of Performance Rot13 and Caesar Cipher Method for Registration Database of Vessels Berthed at P.T. Samudera Indonesia

Database security is a very important aspect of an information system. A general information is onlyintended for certain groups. Therefore, it is very important for a company to prevent database leakage sothat the information contained in it does not fall to unauthorized people. Cryptographic technique is an alternative solution that can be used in database security. One way to maintain the security of the database is to use encryption techniques. The method used to secure the database is encryption using the ROTI3 and Caesar Cipher methods. Both of these methods have advantages in processing speed. For thisreason, the author will compare the use of the two algorithms above in terms of the encryption and decryption process time
Gendered perspective on online communication strategies: A case on English department students

This study aims to investigate whether gender influence on online communication strategies performed by the English Department. This study provides types of communication strategies, the frequency of communication strategies used, and the factors that influence students in differentiating communication strategies used by both male and female students. The researcher used qualitative approach. Online face-to-face conversation and interview were chosen as the data collection technique. For the research instruments that the researcher used were communication strategies sheet, interview, and audio and video recording. The participants of this study were the eight semester students of English Department. The data collected were analyzed used communication strategies taxonomies proposed by Celce-Murcia et al. (1995). The results of this study show that used variety of communication strategies. The most frequent communication strategy used both male and female students is fillers, hesitation devices, and gambits. It was proven by the percentage that was 50%. The least used communication strategy by the students is circumlocution (0,07%). Related to gender, female students almost show higher number of occurrences for all of the communication strategies than male students. This phenomenon happened due to some factors such as the female characteristics that is socially oriented, expressive and avoid making mistakes. Meanwhile, male students showed characteristics such as talk simpler, have a great willingness to manage anxiety and they seem to conceal their inability to others.
Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains

The capabilities of today's natural language processing systems are typically evaluated using large datasets of curated questions and answers.While these are critical benchmarks of progress, they also suffer from weakness due to artificial distributions and incomplete knowledge.Artifacts arising from artificial distributions can overstate language model performance, while incomplete knowledge limits fine-grained analysis.In this work, we introduce a complementary benchmarking approach based on SimPlified Language Activity Traces (SPLAT).SPLATs are corpora of language encodings of activity in some closed domain (we study traces from chess and baseball games in this work).SPLAT datasets use naturally-arising distributions, allow the generation of question-answer pairs at scale, and afford complete knowledge in their closed domains.We show that language models of three different architectures can answer questions about world states using only verb-like encodings of activity.Our approach is extensible to new language models and additional question-answering tasks.
Investigating the role of motivation in organizational development

The purpose of the present study is to investigate the role of motivation in the development and development of the organization.In the present era, in fact, the discussion of the role of motivation in all organizations is one of the most important issues of interest to management scientists.Motivation encourages employees and leads to a fundamental change in organizations.This research is a descriptive study, which has been used from various sources to gather information about the role of motivation in the development and development of the organization.In order for an organization to thrive, its leadership must value motivation and have accurate information on the needs of its employees.Motivation is one of the most important tasks of a manager because the growth of an organization depends on motivating and satisfying staff needs.Ways to motivate an organization to grow include giving money, admiring and helping subordinates.In general, organizations need motivation for their growth and development, which also leads to employee satisfaction in the organization.
IMPROVING THE KNOWLEDGE AND SKILLS OF THE MEMBERS OF THE LIMAU MANIH MUSHROOM FARMER GROUP ABOUT DIVERSIFICATION OF PROCESSED OYSTER MUSHROOM PRODUCTS

Mushroom Cultivation is one of the government programs aimed at triggering the economy of the people who need guidance not only in the cultivation of saj, but also requires guidance for processing into more economically valuable products. Low knowledge and skills of mushroom farmers about raw materials, processing technology and product packaging. The method of activities consists of the delivery of counseling material about the nutritional content and properties of oyster mushrooms, the delivery of material about the processing technology of various oyster mushroom based products, the delivery of material about product packaging and product manufacturing practices. The results of the activity showed an increase in the knowledge and skills of oyster mushroom farmers after the extension activities. Oyster mushroom farmers who initially did not know (score 1) became little know (score 2) and knew better and were very knowledgeable about various science and technology related to raw materials, processes and products (packaging).
Impact of Head-teachers’ Instructional Approaches on Teachers competencies at Campus Schools in Karachi

The purpose of this study is to investigate teachers' perceptions of head-teachers' instructional approaches and its impact on teachers' competencies at campus schools in Karachi, since lack of teacher competencies has been a substantial issue, as it has remained ineffective teaching, which affects students' academic achievement.Achieving the research objectives a quantitative research design with a survey technique was used.Five hundred twenty-five respondents were selected by a convenience sampling, and finally 470 teachers' data founded correct for analysis after screening, with a 90% response rate.The Smart PLS was utilized for calculations, reliability, validity and hypothesis testing, and descriptive analysis was done through SPSS.The results revealed that the perceptions of campus school teachers regarding their heads instructional approaches, as an instructional resources provider, feedback on teaching and learning, and visible presence have a significant and substantial effect on teacher competencies.It is suggested that school leaders should employ and include instructional approaches such as instructional resources provider, feedback on teaching and learning, and visible presence to improve their teachers' competencies.
The Correlation Between English Language Education Students’ Speaking Anxiety and Their Speaking Fluency

This study aims to analyze the correlation between English Language Education (ELE) students’ speaking anxiety and their speaking fluency. This is a quantitative research which consists of 95 students from the 2nd semester as the sample. The data of students’ speaking anxiety were collected through questionnaire namely FLCAS (Foreign Language Anxiety) which was adopted from Horwitz and Cope. While the data of speaking fluency were collected by using speaking test. There are two variables in this research, students’ speaking anxiety as the independent variable and students’ speaking fluency as the dependent variable. The data were analyzed by using SPSS and Pearson Product Moment was used to find out the relationship between the two variables. The result showed that there was a significant and negative correlation between students’ speaking anxiety and their speaking fluency. The significant value is .045&lt;.05 and the value of correlation is -206. The negative correlation in this research indicates that there is an inverse correlation between those two variables. The students obtain low level of anxiety and achieved a high-level score in speaking fluency.
The Development of Three Image Quality Evaluation Metrics Based on a Comprehensive Dataset

In this study, a large scale experiment was carried out to assess the image quality of 2266 images using categorical judgement method by 20 observers. These images were rendered in color contrast, chroma, colorfulness, lightness, and vividness directions. The results were used to derive three No-Reference (NR) Image Quality Estimation Models (IQEMs). The first model was based on color science, (different scales in CIELAB). The second model was a Neural Network model while the third model was a statistics model based on color appearance attributes. Their performances were evaluated using two databases, those developed at Zhejiang University and those available from the public databases in terms of correlation coefficients between the objective and predicted image quality scores.