Reviewerly/exHarmony huggingface dataset:
Rancang Bangun Aplikasi Point Of Sales Pada Apotek Kamila Berbasis Web

System analysis is done to find out the reasons for the development of Point of Sales (POS) applications on your pharmacy. The problems found are irregular total sales per day, month and year due to the accumulation of the number of paper notes, the stock of drugs that are out of date is not clearly updated, the amount of drug expenditure and input is not controlled and the process of preparing the report is complicated because it must collect data with different and unorganized source locations, so that they cannot display reports at any time needed by the leadership. On the other hand, it is necessary to have a system to facilitate employees in conducting drug data entry. The purpose of this study is to produce a web-based Point of Sales (POS) application that facilitates the sale, purchase, and control of stock items so as to be able to efficiently take the time needed and facilitate the making of needed reports. The method of data collection is done with 3 methods namely literature studies, interviews and observations. Making Point of sales (POS) applications is expected to facilitate the work process, especially at our pharmacy.
A toolkit for nested multi-turn speech dialog in automotive environments

Current in-car dialog systems foster concise interactions for navigation,media, or phone control very well. Yet, they are usually not employed for complexmulti-turn dialogs involving nested topics. However, this type of conversation isgetting more important when moving toward more natural, assistant-like voice interfaces in the car. We present a dialog modeling and execution approach to accountfor this. It is based on the idea of a dialog stack that keeps track of the active dialogtopics. The stack influences the execution of dialog turns while executed dialogturns modify the stack. The approach supports dialog decomposition into reusableparts and topic interruption/resumption for user-initiative and mixed-initiative dialogs. We implemented our approach for an existing GUI and dialog modelingtool.
Prediction of the Engagement Rate on Algerian Dialect Facebook Pages

For the purposes of online marketing, some social networks provide an advertising platform that allows the sponsoring of advertising content to reach target users. This content promotion is expensive in terms of the budget to be spent and this is why the content to be sponsored must be carefully selected. In other words, a company would ideally only sponsor content which is likely to perform well. The performance of an advertising content is usually measured by a metric called the Engagement Rate often used in the field of social media marketing to measure the extent to which the users will show “interest” for and interact with the advertised content. Thus, being able to predict the engagement rate of a publication is of utmost importance to Social Marketers. In this work, we propose a deep-learning-based system, to predict the performance of Facebook posts content in the Algerian Dialect, as measured by the users’ engagement rate with respect to these publications. In order to predict the engagement rate, the system processes all the publication content: the text, the images, and videos if they exist. The images are preprocessed to extract their features and the Algerian Dialect textual content of the posts is analyzed despite its complexity which is due to multilingualism (use of Arabic, Algerian dialect, French and English). Two models of neural networks were proposed, one based on an MLP architecture and the other on a hybrid Convolutional-LSTM and MLP architecture. The results produced by these models on the prediction of the engagement rate are compared and discussed.
Image deblurring based on fractional-order total variation and total generalized variation

Abstract Considering the problem that the traditional method is easy to cause staircase effect and blur detail when removing image blur, we propose a model combined with fractional-order total variation (FOTV) and total generalized variation (TGV) for image deblurring. Firstly, we use the global gradient extraction method (GGES) to divide a blurred image into a smooth portion containing the image features and a detail portion containing the image details. Secondly, we use the TGV method of image deblurring and the FOTV method of image deblurring to repair the two parts of the image separately. Finally, we reconstruct the two restored images together to get the result image. In order to solve the proposed new model effectively, a new numerical algorithm is designed based on the original dual algorithm. The experimental results show that our method is superior to the traditional method in removing the staircase effect and maintaining the image detail area.
Strategy in river flood control

Abstract In February 2018, there was a flood due to the overflow of the Cisanggarung River, one of the affected areas is the population in Ciledug Sub-district, Cirebon, West Java, Indonesia. The purpose of this research is to control the flood of the Cisanggarung River. This study analyzes the amount of water flow that flows in the river crossing capacity. The method used is floods routing from rainfall data using Nakayashu hydrological analysis. The results of the analysis show that the amount of discharge for river capacity is 658 m 3 /s, while the flood discharge is 784 m 3 /s, so the river capacity cannot accommodate water. The solution is to floods control by building embankments and normalizing river flow from existing waste. With plans to build embankments and normalize the river, the river capacity becomes 940 m 3 /s.
The NRP is not some random design ...

The NRP is not some random design study that put explicit phonics instruction up against miscue analysis, or compared different diagnostic assessments of fake word
Effectiveness of reading aloud strategies for developing reading habits

Read aloud strategy is essential; it determines the success of the future. The focus of present study was on read-aloud strategy and other reading strategies. Mainly the purpose of this study was to check the effectiveness of different reading strategies, which could be helpful at elementary level. The present study was based on reading habits of students at elementary level. The study was conducted in a Govt. Girls Elementary School Fateh Wala, Multan. Data was collected from grade 8 students. Data was collected with the help of questionnaire; pretest, posttest was also used to collect data from students. A sample size of 25 students was taken in which ten were female, and 15 male students had participated. Ten teachers also participated in this research work in which 5 were male teachers and five were female. A comparative analysis was conducted for students reading habits with reading-aloud and silent reading strategy. Atlas ti 8 updated version was used for literature review. Results include the finding that read aloud strategy is better than silent reading and other reading strategies at elementary level. Article visualizations:
A note about discipline: analysis, performance, and birdsong

This article is about several contests. It begins with an overview of how the relationship between performance and composition has been recast in recent scholarship, focusing as it does on collaboration and improvisation, and it includes a discussion how these ideas have reformed some of the hierarchical assumptions about music making. The article then addresses ontological questions raised with an analytical focus on a recording of a Superb Lyrebird. In transforming an argument about performance and composition through the analysis of birdsong, the article aims to (i) disrupt some of the emerging disciplinarity that has been key to performance-centred research (ii) further challenge some of the disciplinary lines between performance and composition and (iii) open up new questions about scholarly work at large.The article is therefore undisciplined, and, at the same time, it is formed from key arguments that are occupying musicology, such as — What is the role that performance plays in musicological discussion? What claims are made about musical ontologies? How can those claims be examined without relying on traditional definitions of music? How can analysis of a recording proceed without comparison with other, similar recordings? What, in other words, does performance analysis look like without the possibility of style? And, underlying all these questions, what work is undertaken in negotiating disciplinary lines?
Blockchain in agri-food chain

Agriculture is on the brink of entering a data-driven economy that will impact growth and business relations. The information- and communication revolution in the agri-food chain aspires to collect data at a low cost. Applying information- and communication technologies to the agri-food chain is believed to help optimise resources and therefore contribute to a smaller environmental footprint. At present, however, there are barriers and many issues that need to be resolved; For example, it is not an easy task to aggregate and interpret large amounts of detailed data to be used in decision support tools for farmers and primary producers. There are also transparency issues due to numerous intermediaries and a need for strengthening the link between different chain actors and levels in the agri-food chain. The agricultural has never before undergone such a digital transformation.In Great Britain and the Netherlands, Blockchain has been included in the agri-food chain. In Sweden, however, the agri-food chain does not yet apply this new digital structure. Even though digitalisation is used, Blockchain involves larger quantities of information and requires capacity of handling information in transparent and efficient ways. This study investigates the advantages and disadvantages with Blockchain and will hopefully lead to an answer whether Blockchain might influence the transaction costs and the collaboration in the agri-food chain in a positive way.This study was conducted via secondary sources about Blockchain complemented with four interviews. Because no practical experiments about Blockchain have yet been carried out in the Swedish agri-food chain, the study was limited to the respondents’ knowledge of Blockchain acquired from theoretical case studies and working experience. The result from the respondents and from the secondary sources give both positive and negative answers regarding whether Blockchain has potential to decrease transaction costs in the agri-food chain. The transaction costs that have been studied regard information/search costs, bargaining costs and enforcement costs.The study investigates Blockchain’s potential to reduce transaction costs in the Swedish agri-food chain. Transaction costs are additional costs not included in the value of the unit under transaction. The Swedish agri-food chain is characterised by several transaction costs caused by issues such as food frauds, insufficient trust among agri-food chain actors, transparency and traceability issues. The study concludes that with a Blockchain applied in the agri-food chain, several transaction costs can be reduced. Information costs can be reduced, as more information becomes accessible and traceable. Blockchain also has potential to reduce monitoring costs through cryptographic Smart Contracts and performance-based payment. However, Blockchain is not likely to encourage information sharing unless information sharing is monitored by statutory requirements. Also, the Blockchain network runs on high operation costs of electricity and Internet to verify the Blockchain network’s constant update on information.
Peningkatan Keterampilan Menulis Ringkasan Teks Cerita Anak Melalui Strategi Catatan Jendela pada Siswa Kelas IV A SDN Banjarbendo Sidoarjo

The purpose of this study was to determine the application of the window record strategy to improve student learning outcomes in class IV A Banjarbendo Sidoarjo Elementary School after the implementation of the window note strategy model in the competence of writing text summary stories. This class action research method uses the Kurt Lewin model which is carried out in 2 cycles. Data collection techniques in the form of interviews, observation, product assessment, and documentation. The results of the study show that: (1) The implementation of the window record strategy has been applied according to the plan. This is evidenced by the increase in the results of research on teacher activity in the first cycle of obtaining a score of 75 (good) to 88.33 (very good) in the second cycle. It was also proven by the increase in student activity results from the acquisition of a score of 78.94 (good) in the first cycle to 91.22 (very good) in the second cycle. (2) Increasing the skill of writing story summary text through a window note strategy has increased. This can be seen from the average value of students in the pre cycle of 63.5 (enough) with the percentage of learning completeness 43.33% (very lacking), changing to 70.17 (good) with the percentage of learning completeness 63.33% ( enough) in the first cycle, and to be 80.5 (good) with the percentage of learning completeness 93.33% (very good) in the second cycle.
The Effectiveness of Memrise Towards Students’ Listening Skill (An Experimental Research at The Second Grade of SMK YAPIDI Jayanti Kab. Tangerang)

Dewi Ratna Ayu. 142301652. The Effectiveness of Memrise Towards Students’ Listening Skill (An Experimental Research at The Second Grade of SMK YAPIDI Jayanti Kab. Tangerang) The purpose of this research is 1) To know students’ listening skills of the second grade of SMK YAPIDI 2) To know the effectiveness of using memrise in listening subject at the second grade of SMK YAPIDI. The method in this research is Experimental research which uses quasi experiment. For doing this research the researcher has chosen the second grade of Multimedia of SMK YAPIDI for population which consist of 62 students, the researcher took 31 students for both control and experiment class. The researcher conducted this research from 25 Mei 2018 until 31 Mei 2018. As the quantitative method, the researcher analyzed the data by using t-test. The result showed that there was significant difference on the students listening skill taught by using memrise. The students mean of pre test’s score of experiment class was 55.65. Then in post test, the mean score of experiment class was 72.26. Based on the result of the data analyzing the researcher concluded that students listening skill using memrise improved. Hence, the researcher concluded that memrise is effective in improving listening skill of the students of the second grade of SMK YAPIDI. Keywords: experiment, memrise, listening-skill
2D Deconvolution Using Adaptive Kernel

An analysis tool using Adaptive Kernel to solve an ill-posed inverse problem for a 2D model space is introduced. It is applicable for linear and non-linear forward models, for example in tomography and image reconstruction. While an optimisation based on a Gaussian Approximation is possible, it becomes intractable for more than some hundred kernel functions. This is because the determinant of the Hessian of the system has be evaluated. The SVD typically used for 1D problems fails with increasing problem size. Alternatively Stochastic Trace Estimation can be used, giving a reasonable approximation. An alternative to searching for the MAP solution is to integrate using Marcov Chain Monte Carlo without the need to determine the determinant of the Hessian. This also allows to treat problems where a linear approximation is not justified.
Students’ Writing Process in Producing Recount Text (A case study at fourth semester students of English Education Department UIN SMH BANTEN

Ahmad Saepudin. 152301830. Students’ Writing Process in Producing Recount Text (A case study at fourth semester students of English Education Department UIN SMH BANTEN). The paper of English Education Department at Faculty of Education and Teachers Training of State Islamic University Sultan Maulana Hasanuddin Banten, 2018/2019. This research was based on the students’ writing process in producing a recount text. This research used a case study and it was conducted base on three main problems, 1) Do students of fourth semester of English Education Department know about the theory of writing process?, 2) Do students of fourth semester of English Education Department apply the theory of writing process? 3) What are the strategies that student do to apply the theory of writing process in producing a recount text?. The researcher used test and interview to collect the data. The researcher collected data from 4 students who represented each class with the same lecturer as samples of this research at the fourth semester students of English Education Department. The result of this research showed that actually students applied the process of writing in producing recount text without their awareness. As for the process of writing they done in producing a recount text were: pre writing, choosing ideas and revising. And the processes they did not do in producing a recount text were: outlining, drafting and editing. This research is still far from perfection, to find out more about students’ writing process in writing recount text, further research is needed. Keywords: Process of Writing, Recount Text.
Entropic Dynamics for Learning in Neural Networks and the Renormalization Group

We study the dynamics of information processing in the continuous depth limit of deep feed-forward Neural Networks (NN) and find that it can be described in language similar to the Renormalization Group (RG). The association of concepts to patterns by NN is analogous to the identification of the few variables that characterize the thermodynamic state obtained by the RG from microstates. We encode the information about the weights of a NN in a Maxent family of distributions. The location hyper-parameters represent the weights estimates. Bayesian learning of new examples determine new constraints on the generators of the family, yielding a new pdf and in the ensuing entropic dynamics of learning, hyper-parameters change along the gradient of the evidence. For a feed-forward architecture the evidence can be written recursively from the evidence up to the previous layer convoluted with an aggregation kernel. The continuum limit leads to a diffusion-like PDE analogous to Wilson&rsquo;s RG but with an aggregation kernel that depends on the the weights of the NN, different from those that integrate out ultraviolet degrees of freedom. Approximations to the evidence can be obtained from solutions of the RG equation. Its derivatives with respect to the hyper-parameters, generate examples of Entropic Dynamics in Neural Networks Architectures (EDNNA) learning algorithms. For simple architectures, these algorithms can be shown to yield optimal generalization in student- teacher scenarios.
LibGuides: Heinz College: 94-870 Telling Stories with Data: Using Images

This guide provides resources and guidance on how to properly use and cite images in your class projects.
Coinduction in Flow: The Later Modality in Fibrations

This paper provides a construction on fibrations that gives access to the so-called later modality, which allows for a controlled form of recursion in coinductive proofs and programs. The construction is essentially a generalisation of the topos of trees from the codomain fibration over sets to arbitrary fibrations. As a result, we obtain a framework that allows the addition of a recursion principle for coinduction to rather arbitrary logics and programming languages. The main interest of using recursion is that it allows one to write proofs and programs in a goal-oriented fashion. This enables easily understandable coinductive proofs and programs, and fosters automatic proof search.Part of the framework are also various results that enable a wide range of applications: transportation of (co)limits, exponentials, fibred adjunctions and first-order connectives from the initial fibration to the one constructed through the framework. This means that the framework extends any first-order logic with the later modality. Moreover, we obtain soundness and completeness results, and can use up-to techniques as proof rules. Since the construction works for a wide variety of fibrations, we will be able to use the recursion offered by the later modality in various context. For instance, we will show how recursive proofs can be obtained for arbitrary (syntactic) first-order logics, for coinductive set-predicates, and for the probabilistic modal mu-calculus. Finally, we use the same construction to obtain a novel language for probabilistic productive coinductive programming. These examples demonstrate the flexibility of the framework and its accompanying results.
New Quantum Secret Sharing Protocol Using Entangled Qutrits

A new quantum secret sharing protocol based on the ping-pong protocol of quantum secure direct communication is proposed. The pairs of entangled qutrits are used in protocol, which allows an increase in the information capacity compared with protocols based on entangled qubits. The detection of channel eavesdropping used in the protocol is being implemented in random moments of time, thereby it is possible do not use the significant amount of quantum memory. The security of the proposed protocol to attacks is considered. A method for additional amplification of the security to an eavesdropping attack in communication channels for the developed protocol is proposed.
A new way of crosscutting roles in set oriented programming

In the past twenty years, dozens of collaboration-based languages have emerged. Often they have an abstraction to denote a collaboration. Most of them use a form of single inheritance to build collaboration from another one. In this model, when a collaboration uses another one, every role class in the sub collaboration inherits from a role class in the super collaboration which has the same name. This affects the reusability of roles and collaborations and makes them semi interactive. To overcome this problem, this paper uses a new collaboration-based language named Set Oriented Programming (SOP). In SOP, collaborations, instead of being inherited, are composed with each other. To improve the reusability of SOP roles and to make them interactive, events are used. Events cause interaction of roles by crosscutting them. Moreover, a new context problem is discussed and dynamic context solution is proposed by delegations. Finally, we show that events improve the reusability and delegations concur context problem.
Analisis Sifat Fisis dan Mekanik Papan Komposit dari Sekam Padi dan Plastik Daur Ulang

The development of science and technology is very fast, especially in the field of materials such as composite. The developed composites are usually made of raw wastes. This study aims to determine the effect of the composistion of composites fillers, rice husk-LDPE plastic waste recycle-epoxy on the impact and water absorption. The composites were made with the variations of rice husk and LDPE plastic waste of (40% : 60%); (50% : 50%); (60% : 40%). The highest impact strength was obtained to be 85,9506 kJ/m^2 for composites with the composition of rice husk and LDPE recycled plastic waste (40% : 60%), while the highest water absorption occurred at the composition of (60% : 40%) is 0,487 g, or percentage of water absorption of 0,5791%, where these results met the standart SNI 03-2105-2006.
Optimization of Complex Dynamic Objects Survey Procedure

The optimization of express estimation of complex dynamic objects nowadays often are used principles of the information theory. It is true as far as the behavior of the object under study is random. Recently, it is observed that the creation of a new approach is frequently based on the implementation of the entropy measure and permutation encoding. It can be used as information for the survey procedure of the complex dynamic cyber-physical system as well. It is done the survey algorithm description and it's illustrated example.