Reviewerly/exHarmony huggingface dataset:
Research on the Design Concept of Pandora Jewelry and Its Enlightenments to Entry Lux Jewelry Design

Pandora, from a little-known cutting-edge jewelry workshop to a world-famous big name, took less than 40 years to achieve a perfect transformation.Its unique design concept possesses a high reference significance for the design of commercial jewelry.This paper will explore the mystery of "simplicity" and "complexity" of Pandora and then analyze its implications for entry lux jewelry design through consulting predecessors' data on its homepage and in some related feature articles, logging on to relevant websites for its history and culture details and analyzing the relevant products.For the analyzing part, certain product series will be comprehensively evaluated in terms of their shapes, materials and design concepts while some pictures will also be cited to support the idea.
Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework

Open-domain questions are likely to be openended and ambiguous, leading to multiple valid answers.Existing approaches typically adopt the rerank-then-read framework, where a reader reads top-ranking evidence to predict answers.According to our empirical analysis, this framework faces three problems: first, to leverage a large reader under a memory constraint, the reranker should select only a few relevant passages to cover diverse answers, while balancing relevance and diversity is non-trivial; second, the small reading budget prevents the reader from accessing valuable retrieved evidence filtered out by the reranker; third, when using a generative reader to predict answers all at once based on all selected evidence, whether a valid answer will be predicted also pathologically depends on the evidence of some other valid answer(s).To address these issues, we propose to answer open-domain multi-answer questions with a recall-then-verify framework, which separates the reasoning process of each answer so that we can make better use of retrieved evidence while also leveraging large models under the same memory constraint.Our framework achieves state-of-the-art results on two multi-answer datasets, and predicts significantly more gold answers than a rerank-thenread system that uses an oracle reranker.
An Architecture of Domain Independent and Extensible Intelligent Tutoring System based on Concept Dependencies and Subject Paths

Intelligent Tutoring Systems (ITS) seek to provide personalized tutoring to learners, but are often domain specific, and lack extensibility.When featuring extensibility and domain independence, it is a challenge to provide appropriate level of personalization for every learner.In this paper, an architecture of a system that features domain-independence and extensibility with personalization and automatic course improvements without requiring persistent subject expert intervention has been proposed.The proposed architecture utilizes the notion of concept dependencies and the ability to sequence inter-dependent concepts intelligently into subject paths that enable automated tutoring as well as effective course customization per learner.It features a separate interface for subject experts through which they do not require ITS building knowledge to fulfil their appropriately assigned tasks assisted intelligently by the system, and an API based interface layer that supports today's mobile requirements for better engagement.
Retrieving information about the use information technology to support decision-making in medical diag-nostics

The use of information technology in medical practice radically changes the formulation, methods and means of solving most practical problems. The transition to modern information technologies provides new opportunities and improves the quality of service, reduces examination time, increases diagnostic accura-cy, etc. Purpose of the study. Extraction of information about the use of information technology for deci-sion support in medical diagnostics based on the analysis of publications in this field. Materials and meth-ods. For a formal representation of the process of structural-semantic analysis\ of information on the use of IT in medicine, a functional model was built in the IDEF0 notation. When conduc¬ting research in a spe-cific subject area, an analysis of known scientific results and practical solutions is required, for which scien-tific publications posted in various sources are used. There are platforms where information about such da-ta is collected, allowing to determine the quantitative indicators of the publication, their specific character-istics, etc. Semantic analysis tools were used to identify the dynamics of the appea¬rance of publications; to make comparative analysis of the effectiveness of various scientists and research organizations; to deter-mine publishing activity in the journal sector. To determine the features of publishing activity, an addition-al analysis was conducted by the analyst, who is a specialist in semantic analysis. Statistical analysis methods were used to process the collected information. Since a small amount of data has been collected, there is no need to use specialized analysis tools, and Excel tools were used to build charts. Results. The key characteristics of publications on the analyzed topic, the dynamics of the appearance of articles, the most active authors, scientific schools and the most popular journals in which the research results are published are identified. The results of extracting information about research in the field of IT use in cardiology from the most popular publications of active authors are presented. Conclusion. The analysis of publications based on the data of the elibrary.ru platform is a preliminary stage in the study of scientific texts on a se-lected research topic. For the future research, it is necessary to develop an information system to support researchers with complex indicators and data based on the analysis of scientific texts.
English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network

The main challenge in English-Malay cross-lingual emotion classification is that there are no Malay training emotion corpora. Given that machine translation could fall short in contextually complex tweets, we only limited machine translation to the word level. In this paper, we bridge the language gap between English and Malay through cross-lingual word embeddings constructed using singular value decomposition. We pre-trained our hierarchical attention model using English tweets and fine-tuned it using a set of gold standard Malay tweets. Our model uses significantly less computational resources compared to the language models. Experimental results show that the performance of our model is better than mBERT in zero-shot learning by 2.4% and Malay BERT by 0.8% when a limited number of Malay tweets is available. In exchange for 6 – 7 times less in computational time, our model only lags behind mBERT and XLM-RoBERTa by a margin of 0.9 – 4.3 % in few-shot learning. Also, the word-level attention could be transferred to the Malay tweets accurately using the cross-lingual word embeddings.
Research on observability of two wire-guided torpedoes tracking system

Under special condition, the surface target could be attacked by the submarine with two wire-guided torpedoes with passive acoustic homing mode. When the acoustic homing device detects the target bearing and transmit it back to the submarine through the wire, a three-sensor detection system is constituted by the submarine’s integrated sonar and the two wire-guided torpedoes. Whether the system can effectively track the target is related to the observability of the system. Only by satisfying the observable conditions can the moving parameters of the target could be calculated. For the nonlinear characteristics of the two wire-guided torpedoes tracking system, the observation equation is treated by pseudo-linear processing, and then the observability of the linear system is analyzed by using the observability decision theorem of the linear system, then the conditions for judging the observability are given. Finally, the correctness of the conclusion is verified by simulation.
A text-writing system for Easy-to-Read German evaluated with low-literate users with cognitive impairment

Low-literate users with intellectual or developmental disabilities (IDD) and/or complex communication needs (CCN) require specific writing support.We present a system that interactively supports fast and correct writing of a variant of Leichte Sprache (LS; German term for easy-toread German), slightly extended within and beyond the inner-sentential syntactic level.The system provides simple and intuitive dialogues for selecting options from a natural-language paraphrase generator.Moreover, it reminds the user to add text elements enhancing understandability, audience design, and text coherence.In earlier development phases, the system was evaluated with different groups of substitute users.Here, we report a case study with seven low-literate users with IDD.1 They may be supported by rule-based validation tools (for LS, see, e.g., languagetool.org/de/leichtesprache/)or automatic text-simplification (cf.Ebling et al., 2022; for English, see, e.g., paperswithcode.com
FERRIMAGNETIC MINERALS AS POSSIBLE INDICATORS OF THE SEDIMENTATION ENVIRONMENTS OF THE EASTERN PARATETHYS TARKHANIAN DEPOSITS (KOP-TAKYL SECTION)

The paper presents the results of studies of ferromagnetic minerals and their distribution in the Tarkhanian and transition Tarkhanian-Chokrakian deposits of the Kop-Takyl section (Kerch Peninsula, Eastern Paratethys). Magnetic minerals were identified by petromagnetism and scanning electron microscopy. The main ferrimagnetic mineral in the rocks of the upper part of the Argunian strata of Tarkhanian deposits and the Tarkhanian-Chokrakian deposits, which correspond to the regressive stage of the paleobasin under consideration, is magnetite (maghemite). In addition to magnetite (maghemite), the sediments of most of the Tarkhanian deposits, which were formed mainly during marine transgression, contain magnetic iron sulfides: monoclinic pyrrhotite (greigite). These minerals of the detrital and early diagenetic origin may be indicators of sedimentation conditions. The obtained data on the distribution of ferromagnetic minerals in the studied Tarkhanian and Tarkhanian-Chokrakian deposits are generally consistent with the sequence of changes in the sedimentation modes that existed in the past.
A Study of Written Noun Pattern Sequences among Secondary School Students in Malaysia

The following research work aimed to investigate the language change of learners through their usage of noun pattern in order to identify which words occur with which patterns and then create a repertoire of the three learners’ particular ways of using them. In order to do so, like previous studies, the study relied on the theoretical framework of Hunston’s Pattern Grammar Approach (1997) and the conceptual framework of Larsen-Freeman’s Complexity Theory (2006). This mixed method study adopted a longitudinal research approach into Chau (2015) students’ data to observe the commonly occurred noun pattern sequences within their writing tasks over three years. This helped to understand the changes on the noun pattern about language learning by associating meaning production via noun pattern sequences. Data collection and analysis method was adopted from Tashakkori &amp; Teddlie, 2010. The codification of noun patterns were done quantitatively and then its frequency was quantified. The five nouns have been identified from the analysis at keyness cut-oﬀ of 25 via Keywords Extractor followed by a codification of noun pattern sequences done via the framework by Collins Cobuild English Dictionary and Francis et al. (1998). The result of the analysis shows that students do follow noun patterns yet they also tend to produce structures in their very unique ways. Likewise, the repetition of pattern over the years observed in learners suggests language could be both regressing and progressing simultaneously, unlike the developmental leader metaphor applied in most educational settings. In other words, the study suggests that students should be acquainted with patterns instead of words in isolation because their association with diﬀerent words makes them a natural accompaniment to a lexical approach. This paves the way for unorthodox scoring or marking system, shifting the focus from error analysis to meaningful production of language.
Pengembangan Media Pembelajaran Menggunakan Microsoft Powerpoint Pada Mata Pelajaran Ekonomi Sebagai Alternatif Belajar Mandiri Dimasa Pandemi

This development was carried out to develop Economics Teaching Materials for Class X even semesters using Microsoft PowerPoint at MA Mu'allimat NWDI Pancor as an alternative for independent study during the pandemic that was valid and gave a positive response. The learning development model in this study uses the ADDIE development model, namely Analysis, Design, Development, Implementation, and Evaluation. However, in this study only up to the implementation stage. The research instrument used consisted of: (1) Media Validation Sheet, (2) Material Validation Sheet, (3) Teacher Assessment and Response Sheet, (4) Student Assessment and Response Sheet. The results showed that the feasibility level of learning media using Microsoft PowerPoint on economic subjects as an alternative for independent study during the pandemic was based on the assessment: 1) Material Experts obtained a total score of 68 in another word 80% which was included in the "Very Valid" category, 2) Media Experts obtained a total score of 46 0.0 in another word 92% which was included in the "Very Valid" category, 3) Economics Learning Practitioners (Teachers) give a total score of 111 in another word 88,8% which was included in the "Very Good" category. The students' response to this media when the trial was conducted on average showed a positive response by getting a percentage of 91.34% from the standard 61% as a whole. Thus the learning media using Microsoft PowerPoint is appropriate to be used as an alternative learning media in independent study, especially during the pandemic
Pengaruh Persepsi Siswa Tentang Penggunaan Learning Management System Terhadap Motivasi Belajar Siswa Pada Mata Pelajaran Pemograman Dasar Smkn 2Padang Dalam Masa Pandemi Covid-19

One of the subjects that use learning management system is basic programming.Based on data obtained from" teachers in the field of basic programming studies, there are still many students who have not completed subjects using learning management systems.The purpose of the study was to find out the influence of students' perceptions about the use of learning management systems on basic programming subjects on students' learning motivation in SMK Negeri 2 Padang "during the Covid-19 pandemic"."The population in this study is all students of class x rpl odd semester of the academic year" 2020/2021 SMK Negeri 2 Padang consisting of two classes of 66 people."Sampling in this study was conducted with simple random sampling techniques.The analysis method uses simple linear regression analysis.The results of the study found that the t count was 2,953 and the value (sig = 0.004< 0.05).With df = 36-2 = 34 Obtained a certificate of 1,691," from the above results can be concluded students' perceptions about the use of learning management system in basic programming subjects affect student learning motivation in SMK Negeri 2 Padang in the Covid-19 Pandemic Period.
A Study of Pragmatic Acts and Hate Speech Strategies in Christian Sermons in Nigeria

Ideology loaded language may be used as instrument of control and for the production of hate speech and may be linked to the intensity of sectarian violence in contemporary Nigeria. This paper, therefore, evaluates the strategies for hate speech production in Christian sermons using Mey’s (1993) proposal on pragmatic acts, a modification of Austin (1962) and Searle (1969) speech act theories. Data, with two sermons from two well-known clerics and obtained from YouTube, has revealed that hate speech were produced through the pragmatic acts of innuendos and name-calling while set-up and co-option methods were deployed for audience participation. Whereas innuendos were linguistically realised as pronouns, name-calling takes the form of adjectives but function as nouns. Set-up and co-option were indirect linguistic strategies meant to empathise and attend to hearers’ face-needs. Pragmatic acts insulate preachers from backlash and highlight Nigeria’s social-political undercurrents. The enactment of hate speech in sermons justifies government initiatives in regulating religious activities.
Perkembangan Children's Literature dalam Folklor di Perpustakaan: Studi Content Analysis

Folklore is a form of children's literature. Libraries can provide a collection of folklore for children among users in introducing local culture and language. So folklore has been researched by several researchers from various countries. This study aims to determine the development of children's literature in folklore in the library. The research method used a qualitative approach through the content analysis method. The references studied were from seven references which were then mapped into several categories. Based on analysis 7 reference, all the folktales characters can psychology and phisic analysis. Folklore can retall to stundents at the school through storytelling and folklore reproduction on modul at school. Folklore is representation of culture at the region. The collection of folklore is the one of unique collection at the library. Based on seven reference, the most widely written folklore research is the theme of storytelling which is researched from 3 references. The research method that is widely used is the literature study method used from 3 references. Types of folklore that have been studied are folk stories written 6 times, poetry written 5 times, epic stories (struggles) and songs written 3 times, animal tales, legends, historical stories, myths, proverbs and written utterances respectively. 2 times, and other types of folklore are written once. The conclusion of this study shows that folklore can be researched from a variety of sciences, folklore as an effective learning medium in schools and libraries, folklore reproduction enriches children's literature in the realm of education.
PENGARUH REDUKSI DIMENSI TERHADAP METODE PENGKLASTERAN BERBASIS CENTROID DAN METODE PENGKLASTERAN BERBASIS DENSITY DALAM PENGKLASTERAN DOKUMEN TEKS

Density-based clustering is usually more effective when processing data of different densities. This method is pioneered by the Density-based Applied Noise Spatial Clustering (DBSCAN) algorithm. There is a significant difference in behavior between k-Means and DBSCAN, which is processing data that contains noise. To this end, this research studies the impact of dimensionality reduction on high-dimensional data on the clustering results of the k-Means algorithm represented by the centroid method and the clustering results of the DBSCAN algorithm represented by the density method. Although the quality of the clustering results on k-Means has been improved after the numerical reduction by Singular Value Decomposition (SVD), from the initial average distance of 1.04136 to 0.003, the statistical change is not significant or considered to be the same. Therefore, it can be concluded statistically that SVD has no effect on the quality of k-Means clustering results. On the other hand, in DBSCAN, the effect of SVD dimensionality reduction is very significant. It can change the quality of the clustering results from the initial average intra-cluster distance of 76.13480 to 13.71130 or improve the quality by 555.27%. The significant impact of SVD on SVD + k-Means optimization and SVD + DBSCAN optimization cluster calculation time changes is also shown. SVD optimization can accelerate k-Means calculation time from 3.68182 seconds to 2,09091 seconds or 1.76 times. At the same time, SVD optimization accelerates the DBSCAN calculation time from 19.40000 seconds to 0.97500 seconds or 19.89 times.
Descriptive study of Prosody

Descriptive study of ProsodyProsody or "Orooz" is the knowledge for poetry in Urdu, Persian and Arabic.It is like grammar and essential for the subject of poetry.Some people have not read this grammar but still speak the correct and fluently the poetic verses, so they do not make any grammar mistakes.Compared to them, there are some people who have read grammar but cannot recite poetry fluently.There is no such thing as knowledge which every non-poet can become a poet or
Implementasi Algoritma FP-Growth untuk Menemukan Pola Keterkaitan Antara Matakuliah Pemrograman dan Matakuliah Matematika

The specification of programming skills is one of the focuses of learning in the Informatics Engineering study program which requires students to understand and get good grades in all courses related to programming. The subject that is considered to have a relationship with the programming field is the Mathematics course. Efforts to determine the correlation between programming courses and mathematics courses through one of the association algorithms in data mining, namely the FP-Growth algorithm. FP-Growth was chosen because it has a faster data pattern execution rate than the a priori algorithm. The final stage of KDD produces 1227 data which is then processed using the FPGrowth algorithm. Tests with a minimum support value of 0.5 and minimum confidence of 0.7 show the same number of patterns between applications built with the SPMF application of 52250 patterns. The highest support value of 51% and the highest confidence value of 98% and the highest lift ratio value of 1.1941 in the combination of itemset patterns indicate that if students pass programming courses, then mathematics courses can also pass or vice versa.
PREDIKSI KURS MATA UANG DENGAN METODE LONG SHORT TERM MEMORY (LSTM) BERBASIS ATTENTION

Currency exchange is the exchange rate for current or future payments between two currencies of each country. In Indonesia, there are frequent fluctuations in the exchange rate of USD against IDR which causes instability in economic growth. This has resulted in reduced interest from foreign investors in investing in Indonesia, and has resulted in degeneration of development because the position of foreign investors is very important for economic growth. Therefore, predictions are needed to anticipate exchange rate fluctuations using the Long Short - Term Memory (LSTM) method. Some of the steps taken are collecting data, preprocessing, splitting data, build the LSTM model architecture, training the model, and testing. From the test results, the best results were obtained for the LSTM and LSTM + attention models, namely by using the parameters of 60 timestep, 32 neurons, 150 epoch, 32 batch size, and a learning rate of 0.001. The results obtained from the LSTM model are the total training time of 108.76 seconds, the loss value is 0.000162, and the RMSE result is 1.3328. The results obtained from the LSTM + attention model are the total training time of 116.05 seconds, the loss value is 0.000157, and the RMSE result is 0.6335. So it can be concluded that LSTM with attention can improve training accuracy.