Reviewerly/exHarmony huggingface dataset:
L’Elena di Euripide, i porti chiusi e la fiamma pilota

The essay deals with the translation of Euripides’ Helen, made for the theatrical season INDA 2019 (Greek Theatre of Syracuse), staged and directed by Davide Livermore. The author briefly describes the criteria he followed and offers his personal reading of the key characters of the play (Helen, Menelaus, Theoclymenus). The underlying contention is that theatrical translation is usually more negatively conditioning than positive, on staging. While the translator who works well may not make decisive contributions to the success of the show, the one who works badly usually causes very serious damage. Hence the need for the translation to be simple, functional, and, where necessary, flexible, without any showing off and self-promotion by the translator.
Variational Interaction Information Maximization for Cross-domain  Disentanglement

Cross-domain disentanglement is the problem of learning representations partitioned into domain-invariant and domain-specific representations, which is a key to successful domain transfer or measuring semantic distance between two domains. Grounded in information theory, we cast the simultaneous learning of domain-invariant and domain-specific representations as a joint objective of multiple information constraints, which does not require adversarial training or gradient reversal layers. We derive a tractable bound of the objective and propose a generative model named Interaction Information Auto-Encoder (IIAE). Our approach reveals insights on the desirable representation for cross-domain disentanglement and its connection to Variational Auto-Encoder (VAE). We demonstrate the validity of our model in the image-to-image translation and the cross-domain retrieval tasks. We further show that our model achieves the state-of-the-art performance in the zero-shot sketch based image retrieval task, even without external knowledge. Our implementation is publicly available at: https://github.com/gr8joo/IIAE
comparison of different hierarchical Dirichlet process implementations

Author(s): Wu, Peichen | Advisor(s): Amini, Arash | Abstract: The Hierarchical Dirichlet Process (HDP) is an important Bayesian nonparametric model for grouped data, such as corpus or document collections. It can be very useful in an NLP setting where we are trying to classify documents in a corpus. A great advantage of HDP is its flexibility: we do not need to specify the number of components (or topics) we want and can instead let the data decide. Like other Bayesian nonparametric models, exact posterior inference is intractable, instead we can use Monte Carlo Markov Chain (MCMC) methods to estimate the posterior distribution, and different MCMC methods can affect the performance of the HDP implementation. In this thesis, we will compare four different HDP samplers by applying them to a set of simulated data and a set of real data, and we will do this by comparing the mixing time of their NMI (normalized mutual information, which can be considered as the ``amount of information obtained about one variable by observing the other variable) and perplexity.
ENHANCING STUDENTS’ WRITING ABILITY BY IMPLEMENTING PROBLEM-BASED LEARNING METHOD AT THE ENGLISH DEPARTMENT STUDENTS IN MUHAMMADIYAH UNIVERSITY OF PONOROGO IN ACADEMIC YEAR 2019/2020

Writing is an important language skill because it becomes a means of learning, discovering, developing, and perfecting language skills. The researcher using Problem-Based Learning method to enhance students’ writing ability. This research aims to develop the students’ intelligence by learning to solve problems and shapes students’ interaction with the new environment that confronts students to real world problems to begin learning so that the students become critical thinkers. The researcher used a classroom action research design. The subject was the English department students at Muhammadiyah University of Ponorogo in the academic year 2019/2020. The class consists of 16 students. Before implementing, the researcher made a lesson plan, the steps of Problem-Based Learning method, and prepared instruments, questionnaires, observations, field notes, and test will be conducted in the last meeting. The research was conducted in two cycles. Each cycle consisted of two meetings. Based on the result of the observation it showed that the students were more active than the previous meeting, the percentage was 52% in cycle one and 84% in cycle two. The result of the questionnaire score was 84% in cycle one and 96% in cycle two it means the students were more enjoyed, gave a positive response and looked more fun with the implementation of this method. The result of the writing test in cycle one is that 13 students or 81% who got score ≥ B- (2.5), in cycle two was 100% or all students got score ≥ B- (2.5). The result of writing test in cycle two, it showed improvement. The research finding proves that Problem-Based Learning method was successfully improve writing ability. Hopefully, this research can be a reference for the lecturer of writing course to teach and learn writing and for the next researcher for conducting the next research.
Scalability, Consistency, and Performance

Scalability, as generally defined, is the property of a system to handle a growing amount of work by adding resources to the system. In cloud platforms, where massive standardization and “economy of scale” principles are driving hardware design, the ability to just add resources to a single instance of a service may be limited. That is why, in addition to adopting scale-out architectures, an equally important aspect of scalability will be to design and tune your workload so that it can maximize resource utilization. If you are designing a brand-new application or have the chance to modify an existing one before migrating, this will also tangibly reduce your cloud bills.
LibGuides: Free Resources for Home Use: Amuse

Free resources to keep yourself happy and busy while staying at home during the COVID-19 epidemic.
PREDICTION OF SUPPLEMENT SALES ON COVID 19 PANDEMIC USING LEAST SQUARE METHOD

PT. Nutrimax is a distributor company that is engaged in selling supplements in the Range. Sales of supplements have increased sales every year. However, PT. Nutrimax has problems in controlling inventory of goods that cannot be predicted properly. That was caused by the Head of the Warehouse of PT. Nurimax at the end of each month only manually counting the number of supplements left on the supplement rack and warehouse, and then reporting to the leadership. To avoid and minimize future loss of supplement sales, PT. Nutrimax needs to have a sales forecasting activity using the Least Square method, using the PHP programming language and MySQL database. Least Square method is a method used to estimate or forecast in the future. In predicting the supply of supplements, the data used from January-May 2020 so that later predictions can be obtained in the form of a lot of supplement stock that must be provided by PT. Lutrimax. The final results of this study are expected to help the process of calculating future supplement forecasting easily, minimizing errors, and can produce accurate and fast forecasts. Keywords: Sales Forecasting, Least Square, PT. Nutrimax
Multi-party quantum key agreement based on &lt;i&gt;d&lt;/i&gt;-level GHZ states

A multi-party quantum key agreement protocol based on &lt;i&gt;d&lt;/i&gt;-level multi-particle GHZ states is proposed. The “&lt;i&gt;d&lt;/i&gt;-level” is common in other quantum cryptographic protocols, but there are few researches in the field of quantum key agreement. In our scheme, we introduce two indistinguishable orthogonal bases, i.e. the quantum Fourier transform and shift operation, into a &lt;i&gt;d&lt;/i&gt;-level quantum system. In addition, we make full use of shift operation to encode the key into the sequence of quantum states, and the key can be measured by the &lt;i&gt;d&lt;/i&gt;-level &lt;i&gt;Z&lt;/i&gt;-basis. By decoding and calculating, each participant can equally extract other participants’ key and obtain the final shared key &lt;inline-formula&gt;&lt;tex-math id="M1"&gt;\begin{document}$ K = {K_0} \oplus {K_1} \oplus \cdots \oplus {K_{k - 1}}$\end{document}&lt;/tex-math&gt;&lt;alternatives&gt;&lt;graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="20-20200799_M1.jpg"/&gt;&lt;graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="20-20200799_M1.png"/&gt;&lt;/alternatives&gt;&lt;/inline-formula&gt;. The protocol resists external eavesdropping by inserting decoy states and conducting two security checks. Furthermore, we present an example by assigning certain values to parameters for illustrative purpose. Finally, QKA protocol mainly involves two types of attacks: participant attack and external attack. The external attack can be divided into Trojan attack, intercept-resend attack, and entangle-measure attack. To demonstrate the security of the scheme, we analyze the two types of attacks. The results show that the scheme can effectively resist the attack from internal participants and external eavesdroppers. However, the premise of our protocol is based on the ideal quantum channel. In practical applications, particles are usually affected by noise in the process of quantum channel transmission. Therefore, how the agreement adapts itself to a more complicated environment is our main work in the future.
Application Of Web Engineering Methods In Designing A Building Rental Information System In Kemuning Building Bekasi

The building is a place to hold an event with a large number of visitors. The use of the building in holding an event makes it easier for event organizers in the process of implementing the event. The current building rental system at the Kemuning building hall takes a long time in the process of renting the building. The search for information and the process of listing the status of building leasing still uses a manual system, which is recorded in a rental book. This can make the building rental system unstructured and poorly controlled. An information system can make it easier for tenants in the rental process for the yellow building. The building rental information system application uses the web engineering method which aims to build an integrated information system that can engineer the web with several technical requirements and identify information. The resulting information system is a building rental website that can minimize errors made by officers in registering tenants, data building rental recapitulation, avoiding data manipulation and being a distinct advantage for managers who prioritize technological advances by using the system through website-based database applications. The features on this website include a list of packages offered, the ease of making building rental reservations and making the payment process easier. This building rental information system can provide convenience for consumers and officers in the process of renting a building and managing data on the rental of the Kemuning building.
PENGARUH MODEL PEMBELAJARAN LANGSUNG TERHADAP PENINGKATAN KOSA KATA WARNA ANAK TUNAGRAHITA RINGAN KELAS 4 DI SLB MUHAMMADIYAH LAMONGAN

The Influence of Direct Learning Models on Improving Vocational Vocabulary of Children Tunagrahita Light Class 4 In SLB Muhammadiyah Lamongan. The limitations of intelligence possessed by mild retarded children, indirectly inhibit the mastery of vocabulary, especially in the material to recognize color. The application of direct learning can improve the ability of mastering vocabulary to recognize colors (indicating and naming primary colors (red, yellow, blue) and secondary (orange, green, purple)) mildly retarded children in grade 4 at SLB Muhammadiyah Lamongan. The influence of direct learning models on increasing the color vocabulary of mild retarded children in grade 4 at SLB Muhammadiyah Lamongan. Thus, the use of direct learning models in learning Indonesian is already effective. This can be seen by a significant increase in student activity and student learning outcomes.
The semantics of «Cybernetic safety» term. What we cannot agree with

The state of knowledge related to the scientific field of «cybernetics safety» definitely needs clarification. As every computer system represents a system of human-machine type, in which two components: a human and a computer are inseparably linked, the field of knowledge mentioned above must also comprise knowledge regarding safety of the man, being a component of this system. The present-day state of things seems to be related only to protection of computer software from external influence, ensuring correct functioning of computers and creating the conditions opposing external attacks on this system, thus setting up the objective of preserving its integrity and functioning. All such tasks are vital and are aimed at securing one part of the «human-machine» system. Scientific knowledge comprising the base of «cybernetic safety» are in no way related the second inseparable component of this system-human’s safety, an operator, a user, an ordinary inhabitant. The problems of safety of man in such system, with due regard to an avalanche-like character of the process of computerization of our society, development of internet, computer networks and fields of human activity, in which computers find application, has been setting and is setting urgent problems of co-existence of man and computer, both from the positions health and physiology and the positions of sociality of man in the present-day society. The society can equally place an order for existence of knowledge in the field of protection of man-the user of such systems from outer biological, psychological and asocial meddling and protection of actual knowledge, ensuring worthy human life in the contemporary world
Rube-Goldberg Machine Report

This virtual Rube- Goldberg machine consists of 7 different physics principles in the duration of about 30 seconds which includes elastic and inelastic collision ,energy and momentum conservation , circular motion, torque and projectile motion in 2 dimensions. The biggest challenge to construct this Rube Goldberg Machine is to elaborately use different indexes and functions in Blender ( an app used to make physics model ) to support my ideal machine. During this process, I not only developed a deep understanding of many physics concepts, but also learnt IT techniques. Finally, my machine managed to complete seven consecutive steps and achieve the aim to crash the egg. ( although hard to operate the last step virtually）
어린이 급식소의 효율적인 급식관리를 위한 위생·안전지수·영양지수 관리 웹 & 앱 프로그램 개발 및 적용

The Center for Children’s Foodservice Management periodically visited children’s foodservice facilities for hygiene, safety and nutrition management, and the ‘HSQ (Hygiene Safety Quotient) and NQ (Nutrition Quotient) Management Web & App Program’ was developed and applied to improve the health, safety, and nutrition management status of children’s foodservice facilities. The HSQ is a comprehensive hygiene and safety index consisting of six categories from the hygiene and safety checklist for children’s foodservice facilities provided by the Ministry of Food and Drug Safety. The NQ is a nutrition index for foodservice facilities consisting of five categories from the nutrition checklist. First, this program can be used to efficiently understand the actual conditions of children’s foodservice. Foodservice facilities are provided with the result report prepared by the center without restrictions on time or place. Second, it can be used as “a channel for comfortable communication with foodservice facilities”. Foodservice facilities are provided with a route where questions and resolutions can be communicated to the center. Third, it is easy to compare and review the results of foodservice facilities by institution and number of visits while downloading the results data at the same time, as the result report is written based on hygiene, safety, and nutrition visits. Through such programs, it is believed that standardized work and integrated management will improve the work efficiency of the center’s employees. It is also thought that these programs will promote healthier life-styles in children by establishing a safe food environment for children’s foodservice.
Fast Algorithms for Interior Point Methods

Author(s): Zhang, Qiuyi | Advisor(s): Srivastava, Nikhil; Rao, Satish | Abstract: Interior point methods (IPM) are first introduced as an efficient polynomial time algorithm to solve linear programs. Since then, they have enjoyed success in general convex optimization with the introduction of self-concordant barriers, replacing the ellipsoid method as the optimizer of choice in many settings. As compared to the ellipsoid method, interior point methods boast a better runtime complexity due to its $O(\sqrt{n})$ iteration complexity, where each iteration requires a linear system solve for the Newton step computation. This implies a naive $O(n^{0.5+\omega})$ total runtime for IPMs, where $\omega$ is the exponent of matrix multiplication.In a recent breakthrough work, [Cohen, Lee, Song'18] showed that we can solve linear programs in the IPM framework in current matrix multiplication time $\widetilde{O}(n^{\omega})$, implying that linear programs are computationally not much harder than matrix inversion. In this thesis, we extend this result to general Empirical Risk Minimization (ERM), showing that many convex optimization problems can be solved as efficiently as matrix inversion.Specifically, many convex problems in machine learning and computer science share the same form: \begin{align*} \min_{x} \sum_{i} f_i( A_i x + b_i), \end{align*}where $f_i$ are convex functions on $\R^{n_i}$ with constant $n_i$, $A_i \in \R^{n_i \times d}$, $b_i \in \R^{n_i}$ and $\sum_i n_i = n$. This problem generalizes linear programming and we give an algorithm that runs in time\begin{align*}O^* ( ( n^{\omega} + n^{2.5 - \alpha/2} + n^{2+ 1/6} ) \log (1 / \delta) )\end{align*}where $\alpha$ is the dual exponent of matrix multiplication, and $\delta$ is the relative accuracy, and $O^*$ hides sub-polynomial terms. Note that the runtime has only a log dependence on the condition numbers or other data dependent parameters and these are captured in $\delta$. For the current bound $\omega \sim 2.38$ and $\alpha \sim 0.31$, our runtime $O^* ( n^{\omega} \log (n / \delta))$ matches the current best for solving a dense least squares regression problem, which is a special case of the problem we consider. Very recently, [Alman'18] proved that all the current known techniques can not give a better $\omega$ below $2.168$, which is larger than our $2+1/6$.Our algorithm proposes two novel concepts, which can be of independent interest :\$\bullet$ We give a robust deterministic central path method, whereas the previous central path is a stochastic central path which updates weights by a random sparse vector. \$\bullet$ We propose an efficient data-structure to maintain the central path of interior point methods even when the weights update vector is dense.
Reading and Writing to a .csv File

Comma Separated Value (.csv) files allow data to be stored in rows and columns that can be read by a spreadsheet. This gives the data more structure making it easier to identify. The reader completes seven challenges, including reading and writing .csv files, and removing data from a .csv file.
Sistem Pendukung Keputusan Menentukan Calon Penerima Program Rumah Sehat Layak Huni Menggunakan Metode Simple Additive Weight (Studi Kasus : Dinas Perumahan, Kawasan Permukiman dan Pertanahan Provinsi Riau)

The housing development program, through the development of liveable healthy house in 2017 is a residential development program conducted by the housing agency, residential area and land of Riau province to create and Improving the quality of life of underprivileged people. But during this time, there is a problem that the delivery of proposal village/Kelurahan is still manual, so it will cost and time is quite long, especially village/Kelurahan far. The next problem is the duration of the transport and decision-making, because of the large number of data prospective recipients will be processed and the lack of consistency determination of the criteria weight value priority. Thus, the decision system is made using the simple additive weight method determines prospective beneficiaries of healthy home programs. Screening with this method through the process of normalizing a matrix decision to a scale that will be used to compare with the rating of all available alternatives in order to obtain the best potential home program beneficiaries. Based on the results of manual calculation accuracy with systems using alternative data scattered in 30 villages/Kelurahan, 17 sub-districts, and 4 regencies/cities, the conclusion that the system calculation using simple additive method The weight is more accurate after the interview on the Case study party. Based on the test results of the questionnaire by doing the calculation of the Likert scale obtained 78.44% test results are in the category agree to the score criteria obtained. Keywords : Decision Support System, Simple Additive Weight, Livable home
Defining Agile Hybrids

My experience is that most organizations find themselves somewhere on a continuum between plan-driven (a.k.a. waterfall) project management and agile project management. An organization’s place on the continuum is driven by a variety of factors. Many organizations find themselves using a hybrid approach somewhere on that continuum – one that considers these factors and offers benefits from both waterfall and agile (Figure 1-1).