Reviewerly/exHarmony huggingface dataset:
Tantangan Dan Peluang Widyaiswara Dalam Menghadapi Wabah COVID- 19 Melalui E-Learning

currently, with the progress of Science and Technology which is very easy, most trainees are needed, so it is hoped that a prosecuted widyaiswara also has the competence and expertise in the field of science and technology so as not to be regarded as technologically illiterate (the current term ignorant). As one of the main actors in the training process, it must be the foundation to produce the best products. With the enactment of the ASN Law and Government Regulations relating to Management of Civil Servants. The demand that Widyaiswara be able to contribute in producing high-quality training programs is a new challenge. In organizing educational activities, teaching, training and also training evaluation, Widyaiswara has been able to meet the demands of the Main Performance Indicators specified. But in practice, the quality of education and training is still considered not able to meet the expectations of education and training unit users. In order to be able to meet the expectations of training users, widyaiswara is required to improve personal competence and be able to build the competency of training participants to the highest level in addition to measuring the performance of widyaiswara.
Optimal Metric Evaluation-Based Multicue Inverse Sparse Appearance Model for Object Tracking

In order to obtain the discriminative compact appearance model for tracking objects effectively, this paper proposes a new structural tracking strategy that includes multicue inverse sparse appearance model and optimal metric evaluation between online robust templates and a limited number of particle samples in the looping process. Multicue inverse sparse appearance model globally improves the efficient selection of informative particle samples that can avoid the cumbersome coding and decoding cost for the trivial random particle samples. Only the most potential crucial cases are involved in each tracking loop. This refrains from unreasonable, rough numerical reduction of particle samples and also keeps the unbiasedness and dynamic stochasticness of the sampling process. Meanwhile, low-rank self-representatives for positive and negative samples facilitate the formulation of a suitable code book that arranges the useful sparse coefficients for feature bags and facilitates optimal metric evaluation for online training. It also alleviates the accuracy degradation of tracking occluded objects and improves the robustness of the tracker. Both of them preserve the discriminative compactness of target which speeds up particle filtering localization to separate the target object from distractors. Moreover, the proposed method exploits online appearance representations to learn the sharing compact information that avoids massive calculation burdens for massive visual data.
Adsorption-Photometric and Test-Determination of Fe(III) in Natural Water Using Silica Lyer-by-Lyer Modified with Polyhexamethylene Guanidine and Ferron

Silica based adsorbent sequentially modified with polyhexamethylene guanidine and 7-iodine-8-hydroxyquinoline-5-sulfonic acid (Ferron) was proposed for adsorption-photometric and test-determination of Fe(III) in natural water. During adsorption of Fe(III) from solutions with pH 2.0-3.5 adsorbent became green colored. Formation of green-colored surface complex of Fe(III) with Ferron with the maximum in diffuse reflectance spectrum at 600 nm was used for developing the procedure of its adsorption-photometric determination. Detection limit calculated by 3s-criterion was 0.03 μg/0.1 g of adsorbent (3 μg/L if the adsorption was carried out from 10 mL of solution); the analytical range was 10 – 220 μg/L. Test-method was proposed for quick visual determination of Fe(III) in natural water in the variant of test-scale. Developed procedures were tested for determination of iron in natural river water of Krasnoyarskii kray and mineral water “Zagorie”
On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models

Surgical risk increases significantly when patients present with comorbid conditions. This has resulted in the creation of numerous risk stratification tools with the objective of formulating associated surgical risk to assist both surgeons and patients in decision-making. The Surgical Outcome Risk Tool (SORT) is one of the tools developed to predict mortality risk throughout the entire perioperative period for major elective in-patient surgeries in the UK. In this study, we enhance the original SORT prediction model (UK SORT) by addressing the class imbalance within the dataset. Our proposed method investigates the application of diversity-based selection on top of common re-sampling techniques to enhance the classifier's capability in detecting minority (mortality) events. Diversity amongst training datasets is an essential factor in ensuring re-sampled data keeps an accurate depiction of the minority/majority class region, thereby solving the generalization problem of mainstream sampling approaches. We incorporate the use of the Solow-Polasky measure as a drop-in functionality to evaluate diversity, with the addition of greedy algorithms to identify and discard subsets that share the most similarity. Additionally, through empirical experiments, we prove that the performance of the classifier trained over diversity-based dataset outperforms the original classifier over ten external datasets. Our diversity-based re-sampling method elevates the performance of the UK SORT algorithm by 1.4$.
MEDIA PEMBELAJARAN TEMATIK KURIKULUM 2013 BAGI GURU-GURU SD NEGERI 2 PALEMBANG

Learning media is one of the supporters in the success of the learning process and student learning outcomes. Thematic learning in elementary schools in the 2013 curriculum, it is deemed necessary to be equipped with learning media in the learning process in the classroom. It is intended that teachers develop innovations in learning by being able to create and use learning media, so that problems in the classroom can be minimized. This training aims to provide understanding and motivate the teachers of SD Negeri 2 Palembang to be able to create and use thematic learning media in the 2013 curriculum to support the learning process in the classroom. This activity is a guided training. who came from SD Negeri 2 Palembang, amounting to 20 participants. Training on the creation and use of thematic learning media in the 2013 curriculum has a positive impact on knowledge and self-development for teachers of SD Negeri 2 Palembang. Key Words: media, thematic learning, 2013 curriculum
More style, less work: card-style data decrease risk-limiting audit sample sizes

U.S. elections rely heavily on computers such as voter registration databases, electronic pollbooks, voting machines, scanners, tabulators, and results reporting websites. These introduce digital threats to election outcomes. Risk-limiting audits (RLAs) mitigate threats to some of these systems by manually inspecting random samples of ballot cards. RLAs have a large chance of correcting wrong outcomes (by conducting a full manual tabulation of a trustworthy record of the votes), but can save labor when reported outcomes are correct. This efficiency is eroded when sampling cannot be targeted to ballot cards that contain the contest(s) under audit. If the sample is drawn from all cast cards, RLA sample sizes scale like the reciprocal of the fraction of ballot cards that contain the contest(s) under audit. That fraction shrinks as the number of cards per ballot grows (i.e., when elections contain more contests) and as the fraction of ballots that contain the contest decreases (i.e., when a smaller percentage of voters are eligible to vote in the contest). States that conduct RLAs of contests on multi-card ballots or of small contests can dramatically reduce sample sizes by using information about which ballot cards contain which contests -- by keeping track of card-style data (CSD). For instance, CSD reduces the expected number of draws needed to audit a single countywide contest on a 4-card ballot by 75%. Similarly, CSD reduces the expected number of draws by 95% or more for an audit of two contests with the same margin on a 4-card ballot if one contest is on every ballot and the other is on 10% of ballots. In realistic examples, the savings can be several orders of magnitude.
RANCANG BANGUN SISTEM INFORMASI RENCANA DAN PEMUSNAHAN LIMBAH (E-WASTE) BERBASIS WEB (STUDI KASUS DI FARMASI)

Abstract: In handling waste, it is important to know that there are types of waste that turn out to be very threatening to the environment and human health. This type of waste is commonly referred to as B3 waste. A pharmaceutical company is one company that produces B3 waste in its production process that requires proper handling in the process of destroying waste so as not to endanger the surrounding humans. The process of transaction and documentation in pharmacy which the author makes research using conventional methods which sometimes causes problems in reading different people's handwriting and file storage that is increasingly piling up. With advances in developments in information technology expected to solve problems in the process of eradicating the waste, the authors designed a system that can be used as an inter-building transaction and provide digital approval to support efficiency and transportation in conventional processes.. Kata Kunci: approval system, e-waste
Grammatical accuracy of Indonesian-English translation

This study aimed at investigating the accuracy of grammatical structures made by EFL students and their perception of factors affecting them to translate Indonesian texts into English grammatically. The subjects of the study were 21 students in an Indonesian-English Translation class at Language and Literature Faculty, Universitas Sains Alqur’an Wonosobo, Indonesia. The data were collected through students’ translation result texts, questionnaires, and interviews. Since the data involve social phenomena the qualitative approach is used to interpret the data. The findings indicate that the major inaccurate grammatical structures made by students are noun phrase structure, passive voice, and usage of tenses. EFL students consider that factors that contribute to helping them translate texts grammatically are lecturers’ grammar class, watching English movies, and frequent translating exercises. With regard to Indonesian-English translation, this study is believed to ensure the teachers to design an appropriate course to serve the students to develop their grammatical performance in translation.
Quickly Testing NIC and Driver Interactions by a Software-based NIC

To derive the performance of recent high-speed Ethernet NICs, interaction between NIC hardware and its driver over PCIe is one of the important design spaces. However, tackling this space is still challenging. Prototyping NICs with hardware requires significant development efforts. Prototyping NICs in software has productivity compared with the hardware ones; however, it does not involve PCIe on which the communication between the driver and device is based. To achieve high productivity by software and prototyping with actual PCIe simultaneously, we propose a development platform for Ethernet NICs in software, but connected with hardware PCIe elements. In this platform, researchers and developers can easily prototype new designs of interaction between an Ethernet device in software and a driver for a hardware NIC over the physical PCIe links. To demonstrate the platform, we prototyped a new interaction for low latency packet transmission on the platform. This demonstration indicates that the platform enables quickly testing the new interactions.
Department of fi ne arts and technology in the Imperial Public Library (1850–1930)

A new stage in the life of the Imperial Public Library (now the National Library of Russia) began in 1850, when M. A. Korf, who carried out the organizational restructuring of the Library, became its director for many years and determined the order of its activities. The Library began to function on the principle of separate departments. From the largest meetings in various specialties, the departments turned into stable administrative units. For the fi rst time, the history of the Department of Fine Arts and Technology, containing unique collections of prints, lithographs, notes, and others, was recreated in detail. The activities of V. I. Sobolshchikov, V. V. Stasov, I. I. Gornostaev, N. D. Chechulin, L. A. Sakketti, M. L. Lozinsky, who served in it, are disclosed. The order of preparing its catalogs and the organization of large collections, in particular the Peter the Great Gallery, are analyzed. The reasons for the liquidation of the departmental system of the Public Library and the replacement of its functional one is substantiated.
Expert Assessment of Verification Tool Results

Verification tools can produce various kinds of results while checking programs against requirement specifications. Experts, who seek for errors and estimate completeness of verification, mostly appreciate verdicts, violation witnesses and code coverage reports. They need convenient tools for automating the assessment of verification results to apply verification tools in practice when many program configurations and versions are checked against various requirements. In this paper, we propose new methods for expert evaluation of verification results, covering all those problems that are most significant in accordance with our experience in verifying large programs for compliance with a large number of requirements specifications. Some ideas are borrowed from the areas of testing and static analysis. However, specific methods and technical solutions are unique, since the verification results provided by verification tools are either not found in other areas or have special semantics. The paper presents our approaches and their implementation in the Klever software verification framework.
Temporal LiDAR Frame Prediction for Autonomous Driving

Anticipating the future in a dynamic scene is critical for many fields such as autonomous driving and robotics. In this paper we propose a class of novel neural network architectures to predict future LiDAR frames given previous ones. Since the ground truth in this application is simply the next frame in the sequence, we can train our models in a self-supervised fashion. Our proposed architectures are based on FlowNet3D and Dynamic Graph CNN. We use Chamfer Distance (CD) and Earth Mover's Distance (EMD) as loss functions and evaluation metrics. We train and evaluate our models using the newly released nuScenes dataset, and characterize their performance and complexity with several baselines. Compared to directly using FlowNet3D, our proposed architectures achieve CD and EMD nearly an order of magnitude lower. In addition, we show that our predictions generate reasonable scene flow approximations without using any labelled supervision.
Re-developing, Of Farm Athenaeum And Materialize Automation: Ultimatum And Occasion

The conventional method of running library administrations in horticultural athenaeum is by all accounts over at this point. The principle explanations behind this is by all accounts the mix of negative development in financing, increment in costs of horticultural data assets and important interests in innovation, human asset improvement and expanding desire for the clients. Rural athenaeum of SAUs and ICAR organizations have encountered these issues during last 8-10 years. Working with less financing during these years have prompted the undoing of a portion of the farming assets.
Training of teachers for engineering education in Russian schools

Abstract For the scientific and technological development of the Russian Federation, it is necessary to train personnel since school days. With this approach to engineering education, the training of highly qualified teachers becomes especially relevant. These “technology teachers of the XXI century” should not only be motivated to work with students, but also demonstrate modern digital, engineering and technological competencies. The following research methods were used: analysis of scientific papers on the problems of engineering education in schools; the concept of teaching the subject area "Technology" in Russian schools that implement the main general education programs, the latest educational and methodological complexes for technology; analysis of the legal framework and systematization of the leading normative documents determining changes in the professional and pedagogical education of technology teachers; analysis and generalization of the author’s experience in the development of basic professional educational programs; pedagogical experience in training future technology and informatics teachers, as well as experience in teaching technology to schoolchildren; analysis of the impact of digitalization of education and professional activity on the transformation of the ways of their implementation, as well as the processes of interpersonal interaction and professional identification; diagnostics according to L. B. Schneider "Professional Identity", questionnaires and descriptive statistics; generalization and interpretation of research results. A detailed analysis of psychological and pedagogical research, regulatory documentation in the field of technology education allowed the authors to identify the main conditions for the training of technology teachers for the implementation of engineering education in secondary schools in Russia.
예이츠와 황현의 역사의식 연구

The poems of W. B. Yeats and Hwang Hyun demonstrate remarkable historical consciousness. This study compares the historical images in the poetry of the two poets. Though they lived in different places, both Yeats and Hwang Hyun were contemporaries. Yeats sings the Unity of Being, while Hwang Hyun the ‘integrity’ of loyalty. The two poets’ historical consciousness points to the brotherhood of men all over the world, singing peace. Both, singing the immortality of history, dream of a peaceful country where people live without pain. They look forward to a peaceful world: Yeats wishes to establish aristocratism in Ireland and Hwang Hyun the spirit of Seon-bi in Korea.
Phase estimation in an SU(1,1) interferometer with displaced squeezed states

In this paper, we study the phase sensitivity of an SU(1,1) interferometer with coherent and displaced-squeezed-vacuum (DSV) states as inputs, and parity and on-off as detection strategies. Our scheme with parity is sub-shotnoise limited and approaches the Heisenberg limit with increasing squeezing strength of the optical parametric amplifier (OPA). Also, for the on-off detection scheme, we show that sub-shotnoise sensitivity is possible by increasing the squeezing strength of the OPA.
ANALYSING THE DRAINAGE SYSTEM USING EPA SWMM 5.1 (STUDY CASE: JABABEKA II INDUSTRIAL, CIKARANG BARU, BEKASI REGENCY)

Due to the data in 2030, the urban growth in developed countries is 83% and developing countries is 53%. Jababeka II Industrial Estate as one of the urban industrialization located at Bekasi Regency. In its development, drainage facilities are one thing that must be considered. Because with its function as a channel that carries runoff water to rivers/lakes/reservoirs to avoid flooding. This study aimed to know the existing condition of the drainage system and the water balances in the form of runoff in Jababeka II Industrial Estate by the simulation of SWMM 5.1. The method of this research used a quantitative method, and the data collection method used secondary data, including the information from the existing drainage system with precipitation events in 12 years (2009-2020) were obtained from the WTP Jababeka Residential, drainage dimension, and masterplan of Jababeka II. In order to calculate rainfall planned used fifth-year return period based, it’s on the city's classification under study. The probability distribution method uses Log-Pearson III with a planned rainfall of 128.22 mm/d and the highest rainfall intensity of 54 mm. Based on the simulation results, it was found that the Jababeka II Industrial Estate contained puddles in several channels. The peak was at the 3rd hour of the simulation, which were 19 channels. It's influenced by the type of soil that is quickly saturated. The simulation of the existing condition at Jababeka II has the highest runoff at the 2&lt;sup&gt;nd&lt;/sup&gt; hour of simulation, and floods occurred in 19 channels. It’s affected by the impermeable sub-areas. The water balance result is the amount of precipitation 128.22 mm with the intensity is 54mm due to 5 years forecasting, thus producing the outflow is 128.511 mm. Therefore the number of continuity errors of the surface is -0.227%.
Actualization of General Scientific Concepts in the Process of Studying Pedagogical Disciplines by Future Teachers

The article presents an extensive description of general scientific concepts as a methodological basis for studying pedagogical disciplines by future teachers. The essence, functions of general scientific concepts, the meta-subject character of general scientific concepts in the context of the conceptual and terminological field of pedagogical theory and practice have been characterized. Typical mistakes of future teachers’ work with the conceptual and terminological nomenclature, in particular in the use of general scientific concepts, have been defined. The essence and operational characteristics of actualization as a process of transfer of the potential state of the subject to the state of activity, the features of the actualization as a psychological and pedagogical phenomenon in the educational process have been revealed. The necessity of implementing the principles of systematization, continuity, contextuality in the work with general scientific concepts when studying pedagogical disciplines in class has been proved. The author has specified the forms and methods of actualization of general scientific concepts in the process of studying pedagogical disciplines (a conceptual warm-up; compilation of thesaurus; text analysis; compilation of clusters, «concept trees»; creative tasks; visual series etc.).
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese

We examine a methodology using neural language models (LMs) for analyzing the word order of language. This LM-based method has the potential to overcome the difficulties existing methods face, such as the propagation of preprocessor errors in count-based methods. In this study, we explore whether the LM-based method is valid for analyzing the word order. As a case study, this study focuses on Japanese due to its complex and flexible word order. To validate the LM-based method, we test (i) parallels between LMs and human word order preference, and (ii) consistency of the results obtained using the LM-based method with previous linguistic studies. Through our experiments, we tentatively conclude that LMs display sufficient word order knowledge for usage as an analysis tool. Finally, using the LM-based method, we demonstrate the relationship between the canonical word order and topicalization, which had yet to be analyzed by large-scale experiments.