Reviewerly/exHarmony huggingface dataset:
Icelandic Pronunciation Dictionary

The Icelandic Pronunciation Dictionary contains manually revised transcriptions in four pronunciation variants of Icelandic: the standard pronunciation, the northern post-aspiration variant (harðmaeli), the north-eastern variant post-aspiration + voiced pronunciation, and the southern hv-variant. For descriptions of Icelandic pronunciation variants, see the respective documents `IPA_Pronunciation.pdf` or `SAMPA_Pronunciation.pdf` (the documents have identical content but the former describes the matter using the IPA phonetic alphabet and the latter uses the SAMPA phonetic alphabet).The file `sampa_ipa_single.tsv` contains the set of SAMPA symbols used in the dictionaries and their mappings to IPA on the one hand and on a custom developed single-character alphabet developed for use in speech synthesis.The project is funded by the Icelandic Government as a part of the Language Technology Programme for Icelandic 2019–2023 which is described in the following publication:Anna Bjork Nikulasdottir, Jon Guðnason, Anton Karl Ingason, Hrafn Loftsson, Eirikur Rognvaldsson, Einar Freyr Sigurðsson, Steinþor Steingrimsson. 2020. Language Technology Programme for Icelandic 2019–2023. Proceedings of LREC 2020 (https://arxiv.org/pdf/2003.09244.pdf)Islensk framburðarorðabok inniheldur handyfirfarnar hljoðritanir i fjorum framburðartilbrigðum islensku: það sem kalla ma hefðbundinn framburð, norðlenskt harðmaeli, harðmaeli + raddaðan framburð sem einkennandi er fyrir norð-austurland, og sunnlenskan hv-framburð. Nanari lýsingar a framburði og framburðartilbrigðum i islensku er að finna i skjolunum `IPA_Pronunciation.pdf` eða `SAMPA_Pronunciation.pdf` (þessi skjol eru eins að ollu leyti, nema að fyrra skjalið notar IPA-hljoðritunarstafrofið en það seinna SAMPA-stafrofið til þess að lýsa framburði).Skjalið `sampa_ipa_single.tsv` inniheldur lista SAMPA hljoðritunartakna sem notuð eru i orðabokinni og varpanir yfir a takn i IPA annars vegar og yfir a nýtt stafrof hins vegar, þar sem hvert hljoð er alltaf taknað með einum bokstaf/tolustaf, en slikt stafrof getur nýst vel i end-to-end talgervingu.Verkefnið er hluti af Maltaekniaaetlun fyrir islensku 2019-2023.Anna Bjork Nikulasdottir, Jon Guðnason, Anton Karl Ingason, Hrafn Loftsson, Eirikur Rognvaldsson, Einar Freyr Sigurðsson, Steinþor Steingrimsson. 2020. Language Technology Programme for Icelandic 2019–2023. Proceedings of LREC 2020 (https://arxiv.org/pdf/2003.09244.pdf)
Local descriptor generation based on SIFT reconstruction transformation in two directions

Image local feature descriptors are widely used in various classification and matching scenarios. Traditional local descriptors only extract features at specific scale. In order to improve the performance, some methods extract multi-scale and multi-angular features and construct descriptors by generalization, accumulation or ranking. However, the information of descriptors on bins and scales is not fully utilized, so there is a certain improvement space. To solve this problem, a method of constructing local descriptor based on two directions reconstruction transformation is proposed. Firstly, the stability of bins under different scale pairs is calculated, and then the stability of each bin relative to other bins is calculated. Then the cumulative gradient migration in scales direction is calculated, and the relative stability is combined into the score of a scale pair. The sum of the scores of all scale pairs of a bin constitutes the total score of the bin and eventually forms the vector of the descriptor. Experiments on two general datasets show that the accuracy of the proposed descriptor is improved without expanding the dimension.
The Implementation and the Impact of Attention Grabbers in Young Learners’ Classrooms: A Case Study

Due to the importance of attention grabber in the classroom management for pre-service teachers, this study examines the implementation and impact of attention grabbers in young learners’ classroom. The scope of this study focuses on pre-service teachers of the English Department in one University in Jakarta from grade two to five, and to attention grabbers which are produced when students are noisy and moving around the class while the teacher is giving instruction or explanation. The data were gathered from observation and video recording. The results indicated that the pre-service teachers still need to be aware to use attention grabbers when the classroom situation is not conducive. In order to make attention grabber become more effective when the teachers use attention grabbers in the classroom, it is important to make sure all of the students are responding to the attention grabbers. Furthermore, the suggestion for the next study is to find more participants in different grades.
Petrography and geochemistry of Ebrahim- Abad iron ore deposit (northwest Divandere, Kurdistan Province)

The Ebrahim-Abad iron deposit occurred on the northwestern margin of the Sanandaj-Srjan structural an assemblage is of Paleozoic metamorphic rocks and Mesozoic plutonic bodies and metasomatic rocks. The metamorphic rocks are Micaschist, Dolomite, and marble that they cut with plutonic intrusive rocks (granodiorite to milonite and cataclastic granite). Mica schist and associated detrital sediments have been changed in the low-grade greenschist facies. Marbles and plutonic intrusive rocks have also undergone cataclastic metamorphism along shear zones. Metasomatic rocks have composition garnet-amphibolite to garnitite skarn and they are cut by magnetic veins. Iron mineralization occurred chiefly as magnetite in the form of lenses, veins, veinlets, and grains. This deposit has mass, scattered, substitution, and network texture. Magnetite is generated amorphous, fine (less than 1 mm), or scattered. Cholrote, termolite-actinolite, epidote, garnet, and quartz with minor clay minerals and calcite are the gange minerals of the ore deposit. Iron oxide grade varies from 14 to 47 percent. Fe shows a negative correlation with S, and major oxides but positive Cr and Co. Ti to Ni/Cr diagram reject the hydrothermal origin for the Ebrahim-Abad iron ore deposit. Geochemical data from magnetite ore and changes in cobalt, nickel, vanadium, and titanium in it, indicate the skarn-hydrothermal origin of the Ebrahim-Abad iron deposit. It means that primarily the high iron oxide remobilized by hot hydrothermal fluids originated from intrusive bodies and redeposited in marble, mica schist, greenschist, and skarn.
La condizione giuridica del bambino e dell’adolescente transgenere tra diritto alla salute, autodeterminazione e (in)certezza del diritto

The article analyses the juridical condition of transgender child and adolescent, exploring the recent case-law and the balancing between rights and freedoms involved. The silence of the law and the rapid evolution of awareness will show the actuality of the debate and the difficulty to propose a solution to the complex issues involved.
Game PAUD Berbasis Matematika (GEMPITA) Guna Meminimalisir Ketakutan Matematika Pada Anak Usia Dini

Math seems to be one of the scourges in learning that children are afraid of, even though the use of math is very close and needed in everyday life. This specter or fear is also born from the assumption that the number of calculations and formulas that must be studied is added to the monotonous and rote-only factor of giving material. Therefore, this research was conducted as an effort to improve mathematical logic skills in early childhood thorugh the use of more interesting method in order to be accepted by children. It was the GEMPITA program (a math-based PAUD game). This study uses a literature approach with documentation techniques as a data collection method. In the implementation, the use of various tools and technology is able to increase children the attractiveness to learning mathematical concepts. So that the results are in the form of recommendations for math-based games that are easy and fun to minimize math fear in early childhood.
The Effect of Crib Installation with Placement Variations in River Bends Using Laboratory Model Tests

Abstract Scour or landslide is a problem that occurs at river bends. Many methods are used for scouring or landslide protection. One of the protections for scouring construction is crib model by using gabions and current-aligning bamboo. The purpose of this study is to determine of the effect of variations in the placement of the crib by using of gabions model and the current-aligning bamboo on the river bends. This research is an experimental test of the hydraulic model using river flume model with 5m on bend length, 0.8m width, 0.5m height and a constant discharge of 7.07lt/sec. The test consists of testing control, that is a bend without reinforcement and testing with reinforcement at the bends. The reinforcement at the bends using placement variation was twice carried out with the variation 1 consisted of 3 current-aligning bamboo, 4 gabions, 3 current-aligning bamboo and the variation 2 contains the opposite. The test results showed that the maximum scouring occurs in variation 1 with -5.4cm, -5.2cm on landslides and 0.61cm on scour. The results of the Surfer App and cross sections of stations P00 until P07 are more effective using gabions, while P08 through P24 are more effective using current-aligning bamboo.
2015 개정 교육과정의 영어 교과 역량을 반영한 국가수준 학업성취도 평가의 문항 개선 방안

As the Korean national curriculum was revised in 2015 with a focus on subject competencies, the National Assessment of Educational Achievement (NAEA) for middle and high school needed to have their evaluation framework and test items modified. To serve this need, this paper presents a way to improve the NAEA English tests with a suggested new assessment framework and sample test items assessing subject competencies in English. Subject competencies in English have been analyzed in order to find appropriate subject competencies for paper-based tests. In addition, test items developed in other countries have been analyzed to develop a new evaluation framework as well as a sample of a new type of test item assessing subject competencies in English. Out of four subject competencies in English, it is concluded that English communicative competency and an information analysis competency are appropriate to be assessed in the NAEA. A new evaluation framework is proposed reflecting the results of the analysis and a sample test item assessing an information analysis competency is also presented. The limitations of the current study, future directions for improving the NAEA have been suggested.
Developing a Diagnostic Decision Support Tool With Machine Learning Classification Algorithms to Improve Breast Cancer Screening: A Cross-Sectional Study on Iranian Women

Abstract Background: Improper patient navigation and follow-up measures hamper breast cancer screening programs. To augment existing programs, we aimed to develop a decision support system for early breast cancer detection, by training and validating machine learning classification algorithms on routinely available patient data. Methods: Data were collected prospectively from eligible consenting women who visited a single university affiliated center in Tehran, Iran, during a two-year period. We selected 17 features from patient demographics, history, clinical examination and screening imaging. Breast cancer diagnosis was assessed one year after initial data collection. Positive outcomes where confirmed with tissue biopsy. Six supervised machine learning classification algorithms (including two artificial neural networks) were trained on 743 cases. Odds ratios were calculated using logistic regression. Results: 34% of participants were diagnosed with breast cancer. Highest adjusted odds ratios (95%CI) belonged to ultrasound: 24.8 (12.4,52.0) and mammography: 21.7 (8.8,58.5). When evaluated on all patients, random forest model possessed the highest AUC (95%CI) of 0.98 (0.97,0.99). The results of 10-fold stratified cross-validation supported model stability. Based on the mean of ten validation iterations, random forest provided the highest accuracy (93.3%) sensitivity (91.9%) and NPV (96.2%). K-nearest-neighbors model provided the highest specificity (95.9%) and PPV (91.9%). Conclusions: Machine learning models trained on basic demographics, history, clinical examination and breast screening imaging can predict breast cancer accurately. Such decision support tools when added to existing programs can boost the effectiveness of screening measures. Implementation ultimately depends on future works which will focus on external validation, interface development and cost-effectiveness analysis.
SPECIFIC FEATURES, POSITIVE AND NEGATIVE TRENDS IN MORAL INSTRUCTIONS IN SECONDARY VOCATIONAL EDUCATIONAL ORGANIZATIONS

Elaborating on the previously conducted studies into polar model of sense-making, the authors propose a trialectic model of the way meanings are born.The purpose of this article is to provide theoretical grounds for transition from the dual to trinal model of sense-making strategies and their description.The sense-making strategy determines the direction and quality content of the generated image-meaning.The authors find it expedient to consider trialectic level of the system of senses for more adequate modeling of possible strategies that reflect the key traits of a personality.The above mentioned triad contains hypo-adaptive, hyper-adaptive and pre-adaptive sense-making strategies.The proposed approach enables to identify a personal profile that acts as a multifactor model of possible states of value-notional sphere of an experiencing subject.In terms of modeling behavior patterns, a personal profile of such kind reveals the main direction and principal features of sense-making regulation.
TEKNIK PENGOLAHAN CITRA PENGUKURAN BESARAN TEGANGAN REGANGAN PLAT PERSEGI DENGAN METODE MOIRE’ SEBAGAI SALAH SATU ALTERNATIF PENGUKURAN DALAM DESAIN INDUSTRI MANUFAKTUR

Moire method is one of alternative method that can be choosen in the stress-strain measurements because it is simple and does not require sophisticated equipment nor expensive with results that is accurate enough. The object of this research is a square plate clamped all edges and given load in the middle of the plate with various value. Material deformation produced moire patterns in the form of dark-light pattern (fringes) and the image have captured using a digital camera.The image of moire pattern from digital camera then processed by MATLAB using image processing tool. Furthermore, the results processed as binary images or treshold to get a clearly visible moire pattern. Finally, stress obatined from MATLAB by using image processing tool was compared with the numerical methods.The difference obtained at average 6% for the three types of loading and at average 8.8% with the numerical method.Metode Moire menjadi pilihan dalam pengukuran perpindahan/deformasi karena lebih mudah dan tidak memerlukan peralatan yang canggih dan mahal dengan hasil yang cukup akurat. Sebagai obyek penelitian adalah plat bujursangkar yang dijepit disemua sisinya dan diberi beban terpusat ditengah-tengahnya dengan besar yang bervariasi. Pengolahan pola gelap-terang (fringes) hasil kamera digital atau images processing dilakukan dengan software MATLAB. Sebagai pembanding digunakan metode analitis dan numerik. Hasil eksperimen diperoleh melalui software MATLAB menunjukkan bahwa medan stress yang dihasilkan oleh software melalui image processing dibandingkan dengan metode analitis terdapat perbedaan rata-rata 6% untuk tiga jenis pembebanan dan 8,8% antara metode moire dengan numerik
Knowledge Distillation By Sparse Representation Matching

Knowledge Distillation refers to a class of methods that transfers the knowledge from a teacher network to a student network. In this paper, we propose Sparse Representation Matching (SRM), a method to transfer intermediate knowledge obtained from one Convolutional Neural Network (CNN) to another by utilizing sparse representation learning. SRM first extracts sparse representations of the hidden features of the teacher CNN, which are then used to generate both pixel-level and image-level labels for training intermediate feature maps of the student network. We formulate SRM as a neural processing block, which can be efficiently optimized using stochastic gradient descent and integrated into any CNN in a plug-and-play manner. Our experiments demonstrate that SRM is robust to architectural differences between the teacher and student networks, and outperforms other KD techniques across several datasets.
Ensuring the Reliability of the Assessment of Geological Uncertainty in Conditions of Lack of Geological Information and High Variability of Geological Parameters

Summary A special feature of the problems associated with the study of mineral resources is the incompleteness of knowledge about studied objects. It can be caused both by insufficient quantity of the geological and geophysical data, high variability of the geological parameters or combination of these factors. To minimize the risks of making erroneous technological and investment decisions it is necessary to assess the existing uncertainties. Traditionally such assessment is based on multivariate geological modeling. In order to obtain reliable information, it is important that the model gives an unbiased estimate, i.e. it does not bring a systematic error in all decisions obtained. But how can one be sure that the model is reliable if the real geological parameters are unknown? Calibration of the model based on initial data by resampling methods with small amount of initial information is problematic. In this situation the risk of making wrong decisions is inevitable, but it can be reduced by strictly controlling the modeling tools used and avoiding those of them that tend to introduce systematic error into the model. Studying the behavior of the tools used can be based on computational experiments. The proposed work represents the results of such research.
Descriptive analysis of the english teacher’s code switching

This study aims to determine the code-switching used by English teachers in teaching English at SMA Pesantren Putri Al-Manawwarah. There is one problem in this study, namely the types of code-switching used by the research subject in teaching and learning of English at SMA Pesantren Putri Al-Manawwarah. The researchers conduct descriptive-qualitative research. This study uses a qualitative approach because the data are spoken. Therefore, it is interesting to observe this phenomenon to find out the types. The data collection are; observation, recording, and note. The result of this study shows that the details of code-switching used by the teacher. In the English teaching and learning process within 2x45 minutes, there are 114 utterances in English teaching and learning process which are pronounced by the teacher. There are three types of code-switching (inter sentential code-switching, Intra sentential code-switching, and tag switching). According to the type, there are 59 utterances of code-switching. The number of inter sentential code-switching is 31 utterances (53%), Intra sentential code-switching is 14 utterances (24%), and tag switching is 14 utterances (24%).
WP-UNet: Weight Pruning U-Net with Depth-wise Separable Convolutions for Semantic Segmentation of Kidney Tumours

Abstract Background Accurate semantic segmentation of kidney tumours in computed tomography (CT) images is difficult because tumours feature varied forms and, occasionally, look alike. The KiTs19 challenge sets the groundwork for future advances in kidney tumour segmentation. Methods We present WP-UNet, a deep network model that is lightweight with a small scale; it involves few parameters with a quick assumption time and a low floating-point computational complexity. Results We trained and evaluated the model with CT images from 300 patients. Thefindings implied the dominance of our method on the training Dice score (0.98) for the kidney tumour region. The proposed model only uses 1,297,441 parameters and 7.2e FLOPS, three times lower than those for other network models. Conclusions The results confirm that the proposed architecture is smaller than that of U-Net, involves less computational complexity, and yields good accuracy, indicating its potential applicability in kidney tumour imaging.
Performance Testing of Foldable Electric Powered Wheelch

This paper aims to design and test a foldable, lightweight wheelchair propelled by a pair of electric motors. Starting from literature review, the research team carried out the design and solid modeling of proposed wheelchair. Solidworks software was used to make the computer model. The wheelchair frame comprised of a chair like frame with two pairs of wheels on front and back. The defined electric wheelchair is completed with the coordination of manual and electric system. A pair of electric motor is fitted on wheels at backside which are controlled by the electronic controller powered by the battery. The folding mechanism developed on the wheelchair was aimed for ease of transport and storage. The frame material was selected to be aluminum alloy. Lithium ion battery and geared electric motors were used in the prototype and motion control was done by joystick. Locking mechanism was used for frame locking during operation. The prototype was subjected to different tests. The unfolded dimensions of wheelchair were 850mm × 620mm × 1400mm (0.738m3) and whereas the folded dimensions were 1100mm × 620mm × 520mm (0.354m3) that resulted 52.03% reduction in volume. The mass of wheelchair was measured to be 22kg. The tested data of wheelchair was found to be 10 km approximately.
Validitas E-Book Fisika Terintegrasi Materi Bencana Petir Berbasis Model Discovery Learning

The energy generated by lightning is very large, but it cannot be controlled, causing significant losses and even casualties. To reduce the risk of lightning, a good level of understanding is needed from the public in dealing with lightning disasters. This level of understanding can be changed for the better through education in schools by integrating lightning material into teaching materials for Physics subjects. This study aims to determine the validity of Physics e-book integrated with lightning disaster material based on discovery learning. Research and development (R&amp;D) with the plomp model was used as a method in this study. Products produced in R&amp;D are tested for their validity by experts. The instrument used in this study was a validity questionnaire consisting of five aspects, namely content feasibility, presentation feasibility, language eligibility, graphic feasibility, and media feasibility. The results showed that the Physics e-book integrated with lightning disaster material based on discovery learning was in a valid category so that it could be used in physics learning at school as well as for further research.