Reviewerly/exHarmony huggingface dataset:
ALAT PENGHITUNG BENIH IKAN LELE MENGGUNAKAN PENGOLAHAN CITRA

Catfish hatchery cultivation business is currently very high. This can be seen from the number of people who open catfish hatcheries and places to eat catfish but are still constrained in the process of calculating the number of catfish seeds. The method of calculating at this time is still manual and volumetric. Of the two methods, it is still very dependent on the person who counts the catfish seeds. Therefore, a catfish seed counter was made automatically in order to shorten the time of calculating the catfish, using a webcam. After testing the design of the catfish seed counter, it was found that, from the average percentage of tool error in 5 experiments in each calculation of the number of catfish seeds with a maximum data of 200 catfish seeds measuring 5 mm - 10 mm long, the results obtained are the average tool error is 8.92%. The calculation process time using the tool is faster than manual calculations. The main error in the calculation is caused by the number of catfish fry that are piled up and the different sizes of the seeds so that the reading is not stable or accurate.
Geometry of distributive multiparty entanglement in 4 − qubit hypergraph states

A detailed investigation of the multiparty entanglement present in the 4 − qubit quantum hypergraph states is presented, following a measurement-based geometrical approach. Considering a classification of the 4 − party quantum system represented by a mathematical hypergraph based on the connections between its vertices, the genuine 4 − party entanglement present in each bi-partition of the states have been measured. A strong correlation between the connectivity of the vertices of the hypergraphs and the genuine 4 − party entanglement has been found. The equivalence of the genuine 4 − party entanglement present in each bi-partition is shown considering similar connectivity of the vertices. This explicates the cyclic permutation symmetry of the multiparty entanglement present in the 4 − qubit hypergraph states. Physically, one may expect the quantum systems with superposition of many states to behave in this symmetric manner while mapped into a network-type picture, which the authors have quantified, as well as classified in this work.
Design and Implementation of Low Power Arithmetic and Logic Unit Using Reversible Logic Gates

TheReversible logic is gaining a prominent place in recent trends for low power computation. Optimization of power is required for portable devices like battery operated devices.  This can be designed by using reversible computation logic. It has wide range of applications in the fields of Optical computing, Quantum computing, Complementary Metal oxide semiconductor, Nanotechnology. The reversible computing can be performed by using reversible logic gates which can perform arithmetic and logical operations. Various reversible logic gates are analyzed to perform the above operations which helps in building arithmetic circuits with low power dissipation.The arithmetic circuits like adder, substractor, multiplier, Arithmetic logic unit which forms the basis to build combinational circuits is implemented by using reversible gates. In this paper a reversible ALU which forms the core of any processor is designed. A comparison is made between the conventional ALU and reversible ALU in terms of its power , delay and number of LUTs utilized. EDA tools like MODELSIM 10.5 is used for simulation and synthesized using XILINX VIVADO 2017.2  and the code is modeled using HDL like VERILOG
An Empirical Study of Task-Specific Limitations of the Overview+Detail Technique for Interactive Time Series Analysis.

Abstract Interactive visualisation and analysis of time series data is a critical part of many data-driven optimisation processes, particularly in Industry 4.0 and Smart Manufacturing. Time series visualisation enables data analysts or domain experts to visually identify problems such as missing values, sensor drift, precision degradation, or faulty data, before or after algorithmic analysis. A common technique to support the visual exploration of large time series is the overview+detail (O+D) technique. O+D provides both detail and context information by displaying a detailed view showing the actual data and a thumbnail overview for showing its context. User studies have shown that users analyse and navigate data sets more efficently and effectively with than without O+D, but that this strongly depends on the task and the nature and amount of the data to be displayed. We present results of a quantitative user study that was performed on Amazon Mechanical Turk with 95 participants to identify scenarios in which O+D could not effectively solve the challenge of visualising large time series. By this, we identify potential usability issues of O+D for typical time series analysis tasks and discuss their origins. For each of these usability issues, we also propose alternative interaction and visualisation designs or other strategies to maintain good usability, even for challenging task types and data densities.
DECISION-MAKING BASED ON THE RECEPTOR-LIGAND INTERACTION METHODS

The article deals with the mathematical models of decision-making in the management organization systems. The models are based on the receptor-ligand interaction methods studied in the biokinetics. The article describes an interaction between initial data coming to the organization system and knowledge database generated on the basis of operation experience. The combination of matching pairs creates decisions for resolving problems and achieving the goals. The interaction may take one or more stages. For one stage the models were developed in the form of differential equations when the starting amount of data is not equal to the one in knowledge database. When the amounts are equal, the model is represented as Riccati equation in a special form solving by an indefinite coefficient. The article considers cases when information recourses of initial data and the ones of knowledge database are not uniquely defined. The similar models are developed for two stages of interaction. The article gives the examples of calculation of information recourses amount for a decision in case of different ratios of initial data/ knowledge database.
Mathematical Machine for Primality Testing of Numbers: An Advanced Research

Like the optical prism to break white light up into its constituent spectral colors, the machine to show a prime as a single spectrum is proposed. From the theoretical analysis, it can be shown that the machine to recognize the prime number as a single spectrum can be realized by using the Fourier transform of the correlation function of Riemann zeta function. Moreover, this method can be used for a factorization of the integer composed of two primes. Integer factorization is the decomposition of a composite number into a product of smaller integers, for which there is not known efficient algorithm. From the theoretical analysis, we can see that prime factorization for the integer composed of two different primes can be conducted within a polynomial time.
Soft skills development strategies for future teachers of Maths and Natural Sciences in the process of learning English for Specific Purposes

Considering English for Specific Purposes as an efficient medium of instruction the authors assume that its educational content can provide numerous opportunities for improving soft skills among future humanities and social sciences teachers as well as future Maths and Natural Sciences teachers.
Pattern Masking for Dictionary Matching

In the Pattern Masking for Dictionary Matching (PMDM) problem, we are given a dictionary $\mathcal{D}$ of $d$ strings, each of length $\ell$, a query string $q$ of length $\ell$, and a positive integer $z$, and we are asked to compute a smallest set $K\subseteq\{1,\ldots,\ell\}$, so that if $q[i]$, for all $i\in K$, is replaced by a wildcard, then $q$ matches at least $z$ strings from $\mathcal{D}$. The PMDM problem lies at the heart of two important applications featured in large-scale real-world systems: record linkage of databases that contain sensitive information, and query term dropping. In both applications, solving PMDM allows for providing data utility guarantees as opposed to existing approaches. We first show, through a reduction from the well-known $k$-Clique problem, that a decision version of the PMDM problem is NP-complete, even for strings over a binary alphabet. We present a data structure for PMDM that answers queries over $\mathcal{D}$ in time $\mathcal{O}(2^{\ell/2}(2^{\ell/2}+\tau)\ell)$ and requires space $\mathcal{O}(2^{\ell}d^2/\tau^2+2^{\ell/2}d)$, for any parameter $\tau\in[1,d]$. We also approach the problem from a more practical perspective. We show an $\mathcal{O}((d\ell)^{k/3}+d\ell)$-time and $\mathcal{O}(d\ell)$-space algorithm for PMDM if $k=|K|=\mathcal{O}(1)$. We generalize our exact algorithm to mask multiple query strings simultaneously. We complement our results by showing a two-way polynomial-time reduction between PMDM and the Minimum Union problem [Chlamtac et al., SODA 2017]. This gives a polynomial-time $\mathcal{O}(d^{1/4+\epsilon})$-approximation algorithm for PMDM, which is tight under plausible complexity conjectures.
A Study of the Virtuality of Mixed Reality Performances

Today, the virtual world permeates our everyday lives and is intimately connected to our everyday lives, and in it, we do not simply consume images created by media but live the virtuality of those images through the concrete actions of life. The performance field is also actively introducing new media to establish a new aesthetic style and provide unprecedented performance experiences. However, in many cases, it is also true that the virtuality of media is used as an auxiliary means for story delivery or is treated as a synonym for the fantasy of spectacle. According to the concept of image as material, as formulated by Henri Bergson and Gilles Deleuze, the experience of virtuality is already real in that it is always in the process of realization by the user's perceptual experience rather than a dimension of unreality. Based on the image theory of Bergson and Deleuze, this study aims to examine how the field of performance, which presupposes the presence of a physical space and an audience, is forging this virtuality into reality on the stage. The works 'Blast Theory' and 'Rimini Protokoll', presented as concrete examples, reflect the current era in which the distinction between the virtual and the real has become blurred, allowing the audience to see the world rather than fiction as fiction and virtualization as another reality that requires a new perspective on others and new forms of humanization. Through the above process, this study intends to provide a clue as to how the field of performance, which has long had a sense of presence and has considered presence as the nature of its genre, should respond simultaneously to this mixed reality, which has already become a daily routine.
Penerapan Metode C4.5 Berbasis Particle Swarm Optimization Untuk Memprediksi Penjualan Obat Pada Apotek Bunda Azka

The application of the C4.5 Algorithm based on Particle Swarm Optimization to classify the level of sales of drugs that are often sold at the Bunda Azka Pharmacy, is a strategic thing to reduce the problems experienced by the pharmacy. Classify the level of sales of drugs sold using the C4.5 method. based on particle swarm optimization, to find out whether the C4.5 method based on particle swarm optimization (PSO) can optimize drug sales in the future. This research method uses a descriptive method, namely by conducting case study research by studying activities in the field, observing and interviewing stakeholders. in the initial step of this research is the determination of the attributes that will be processed into data mining with the help of rapidminer tools, this study the author uses the KDD model as a standardization in the data mining process. at the pharmacy. The data will later be processed using the c4.5 algorithm based on Particle Swarm Optimization to find the accuracy results of the prediction of the data. The data sample used is the number of 65 drug transaction records at the Bunda Azka Pharmacy. In the test results, the accuracy of Particle Swarm Optimization was 78.10%, for class recall drug sales was 72.50% and after using Particle Swarm Optimization increased to 78.33%, while precision had an accuracy of 77.92% and after using Particle Swarm Optimization increased to 80.33%. From the results of testing with Particle Swarm Optimization, there is an increase in accuracy of 7.15% from the research application of the C4.5 Method Based on Particle Swarm Optimization to Predict Drug Sales at Bunda Azka Pharmacy.
Information and Communication Technology (ICT) – Its Importance, Advantages and Challenges

Information and communications technology (ICT) is an extensional term for information technology (IT) that stresses the role of unified communications and the integration of telecommunications (telephone lines and wireless signals) and computers, as well as necessary enterprise software, middleware, storage and audiovisual, that enable users to access, store, transmit, understand and manipulate information.ICT is also used to refer to the convergence of audiovisual and telephone networks with computer networks through a single cabling or link system. There are large economic incentives to merge the telephone network with the computer network system using a single unified system of cabling, signal distribution, and management. ICT is an umbrella term that includes any communication device, encompassing radio, television, cell phones, computer and network hardware, satellite systems and so on, as well as the various services and appliances with them such as video conferencing and distance learning. ICT also includes analog technology, such as paper communication, and any mode that transmits communication.ICT is a broad subject and the concepts are evolving. It covers any product that will store, retrieve, manipulate, transmit, or receive information electronically in a digital form (e.g., personal computers including smartphones, digital television, email, or robots). Theoretical differences between interpersonal-communication technologies and mass-communication technologies have been identified by the philosopher Piyush Mathur. Skills Framework for the Information Age is one of many models for describing and managing competencies for ICT professionals for the 21st century.
Towards the Importance of the Type of Deep Neural Network and Employment of Pre-trained Word Vectors for Toxicity Detection: An Experimental Study

As a natural consequence of offering many advantages to their users, social media platforms have become a part of daily lives. Recent studies emphasize the necessity of an automated way of detecting the offensive posts in social media since these ‘toxic’ posts have become pervasive. To this end, a novel toxic post detection approach based on Deep Neural Networks was proposed within this study. Given that several word embedding methods exist, we shed light on which word embedding method produces better results when employed with the five most common types of deep neural networks, namely, , , , , and a combination of and . To this end, the word vectors for the given comments were obtained through four different methods, namely, () , () , () , and () the layer of deep neural networks. Eventually, a total of twenty benchmark models were proposed and both trained and evaluated on a gold standard dataset which consists of tweets. According to the experimental result, the best , , was obtained on the proposed model without employing pre-trained word vectors which outperformed the state-of-the-art works and implies the effective embedding ability of s. Other key findings obtained through the conducted experiments are that the models, that constructed word embeddings through the layers, obtained higher s and converged much faster than the models that utilized pre-trained word vectors.
Single authoring in the information areas in Brazil: characteristics of production of scientific articles (2011-2016)

This paper intends to study single authorship in Brazilian journal articles in the fields of Archiving, Library Science, Information Science and Museology. It makes a bibliometric analysis of 1036 articles published between 2011 and 2016, indexed at the ABCDM database. It presents tables, graphics and images which shows: a negative average rate production of 12.67%; a transient authorship average of 80.66%; Portugal and Spain as the foreign countries that published the most; Brazilian southeast region and University of Sao Paulo as the biggest publishers; the Acervo journal as the one who published the most; and Information Science as the most frequent field and theme of research. The conclusion points that single authorship scientific output presents differences in comparison to multiple authorship, and suggests future qualitative studies.
Batch Mp3 Converter | Screenshots of version 1.63 | converts and normalizes audio, encodes to mp3 in a batch (bulk, massive) way

Batch Mp3 Converter | Screenshots of version 1.63 | converts the audio of audio or video files, normalizes its volume (same maximum volume), and converts the resultant audio to mp3 in a batch (bulk, massive) way.
Classifying Solving Behavior by Handwriting on Tablets.

In this thesis, we propose a method to estimate the learner’s solving behavior during the question exercises from the handwriting situation on the tablet. The model of random forest is constructed to estimate the solving behavior. The constructed model classifies exactly not only the state in which the hands are stopped and the state in which the hands are moving but also the state of answering correctly and the state of answering incorrectly.
APLIKASI JASA PERTUKANGAN DI WILAYAH KUALA TUNGKAL JAMBI

A handyman has many benefits, one of which is an element of aesthetics or beauty in building or renovating a house. In addition to having an aesthetic element, a professional handyman also has a high selling point because not everyone can do it. The things that are considered by the community in choosing a handyman are certain what skills the craftsman has, how is the quality of his work and how much is the wages for using his services. Oftentimes, the builders we find cannot do the work we offer for several reasons. Therefore, one of the important things that must be done to make it easier for the community and craftsmen in the Kuala Tungkal area is to provide a means of finding information about good carpentry services. Through this system, the community and expert craftsmen in the Kuala Tungkal area can easily exchange information and negotiate without having to meet in person.
Review of neurocognitive mechanisms: Explaining biological cognition

The mechanistic framework has emerged in recent decades as the dominant account of how to explain cognition, that is, by identifying and modeling mechanisms – collections of components, operations ...
Blockchain with Corona Virus: Moving Together to Prevent Future Pandemics

Coronavirus 2 (SARS-CoV-2), which is a severe acute respiratory syndrome, is spreading rapidly all over the world. This disease has been declared a pandemic by the World Health Organization (WHO). The death toll has been increasing due to COVID-19. Global effort is needed to stop the spread of the virus and decrease the death rate. Technically, the death toll is because of improper data management and information sharing. The traditional database system has limitations on tampering with data and collective control systems, especially when data is shared with others. To overcome this problem, “blockchain” technology can be used. It is a distributed ledger technology that acts as a shared database by keeping all the copies verified and synced. This article focuses on blockchain technology and how future pandemics can be prevented using this concept. Blockchain technology can help in preventing pandemics and tracking drug trials, early detection of epidemics, and management of outbreaks and treatment. The containment of outbreaks becomes manageable with easy access to data. It will also be helpful to health authorities. In this chapter, a model is proposed that uses blockchain where each block contains information regarding Covid patients so it becomes easier to track and get the count of infected patients, and data will be secure and can be used for future analysis.
Fusion-based Gaussian mixture model for background subtraction from videos

Human Activity Recognition (HAR) aims to realise and interpret human activities from videos, and it comprises background subtraction, feature extraction and classification stages. Among those stages, the background subtraction stage is mandatory to achieve a better recognition rate while analysing the videos. The proposed Fusion-based Gaussian Mixture Model (FGMM) background subtraction algorithm extracts the foreground from videos invariant to illumination, shadows and the dynamic background. The proposed FGMM algorithm consists of three stages: background detection, colour similarity and colour distortion calculation. Here, the Jefries-Matusita distance measure is utilised to check whether the current pixel matches the Gaussian distribution, and by using this value, the background model is updated. Weighted Euclidean based colour similarity measure is used to eliminate shadows, and colour distortion measure is adopted to handle illumination variations. The extracted foreground is binarised to easily extract the foreground's interest points, which has white pixels stored into the frame. This algorithm has experimented over test sets gathered from publicly available benchmark data sets such as the K-th data set, Weizmann data set, PETS data set and change detection data set. Experimental results have proved that the proposed FGMM exhibits better accuracy in foreground detection, with better accuracy than the prevailing approaches.
The Future of the Certification of Cybersecurity Technologies

This paper briefly maps the topic of compliance and certification. The main focus of this paper shall be the Cybersecurity Act as the future of the certification of cybersecurity technologies. This paper introduces the procedural and institutional aspects of the new European certification framework as established by the Cybersecurity Act.
Styles and Layouts

In the previous chapter, you learned about many advanced concepts related to creating visualizations with Matplotlib.