Reviewerly/exHarmony huggingface dataset:
The Implementation Of E - Commerce Entrepreneurs Craftsmen Crocodile Skin: (Case Study Daniel Skin)

The implementation of E-Commerce Entrepreneurs Craftsmen Crocodile Skin ( Case Study Daniel the Skin) is Used as a means of supporting the business processes that occur on Daniel's Skin which is not yet using the internet media. During this time Daniel Skin Merauke only promote their business place with the print media, radio, and business cards. Daniel skin not promote products through the internet so that the scope of marketing its products has not been extensive, in addition, the sales process is still using a manual system the customer where the consumer has to come to Daniel's skin to conduct a transaction. Daniel Skin needs an E-Commerce application that is able to help to promote their products, and make the process a transaction become more varied, as well as help make the reporting sales of more detailed, so that the productivity of Daniel the Skin can be maximized. Metrode used in this study is the Waterfall method. Applications created with Tools or software support such as Dreamweaver,PHP,Database MySQL And CSS Photoshop. The results of the research and testing of the system performed as a supporting media to help Daniel Skin to maximize the sales of their products and help increase the turnover of their income.
Kemampuan Mengenal Huruf Pada Anak Usia 5-6 Tahun Di Perumahan Guru Kecamatan Kotabumi Selatan Kabupaten Lampung Utara

The purpose of this study is to describe the ability to recognize letters of early childhood. Subjects were selected using technique namely purposive sample. The study used 8 subjects. This study uses observation and interviews to collect data with an analysis process through three stages. Based on the results of observations and interviews with research subjects, it is concluded that based on the results of the percentage of observations that show the ability to recognize letters of children aged 5-6 years of 15 children who were observed to reach a percentage of 77%-98.9% which states that the child is in the very good category. From the results of the interview with 3 parents, it can be concluded that the ability to recognize letters is one of the most basic or initial stages before the child enters the reading stage, in introducing letters through the reading method that does not give a burden to the child.
QR Code: Useful Application In Library Services

Today users like a speed ,convenience, portability fast and easy navigation, Access information immediately without having a look for computer, Library apps have not to use the web browser .Mobile site offered all library services available regardless of the platform a patron is using, in a manner that easy to navigate and institutive to use.The QR Code Model-1and Model-2are the typical types of QR codes which are consider as main structure of QR Codes for the other types.Micro QR codes is a type which has main position is detection pattern an it has reduced the size of printing.IQR code is a QR code which is present in both square and rectangular so that can easily printed on cylindrical product to.Store more data to less space as comparers to regular one.SQRC is full forms as secure Quick Response Code hence it provided to reading restriction to it.Frame QR code are the QR code which has the canvas area for providing different shapes to QR codes and making in more attractive to users and customers.
Naive Bayes versus BERT: Jupyter notebook assignments for an introductory NLP course

We describe two Jupyter notebooks that form the basis of two assignments in an introductory Natural Language Processing (NLP) module taught to final year undergraduate students at Dublin City University.The notebooks show the students how to train a bag-of-words polarity classifier using multinomial Naive Bayes, and how to fine-tune a polarity classifier using BERT.The students take the code as a starting point for their own experiments.
Perspectives on Stock Theft Prevention in the Selected Provinces of South Africa: Failures and Successes

Residents of Limpopo (LIM) and KwaZulu-Natal (KZN) Province are witnessing higher rates of stock theft, with the inhabitants of the selected communities living in fear for the prevention of this scourge. This study explores the extent of this crime in the selected areas of LIM and KZN, considering contributory factors, determining the relationship between the South African Police Service Stock Theft Units (SAPS STUs) and other relevant stakeholders, as well as looking at existing strategies (And their failures and successes) in responding to this crime effectively. A qualitative research approach coupled with Non-probability: Purposive sampling was used in this study. The targeted population consisted of 113 participants. For data collections, Focus Group Discussions (FGDs), Key Informant Interviews (KIIs), and Observation Schedules were adopted. lack of appropriate preventative measures has led to rise of stock theft, it was, therefore, discovered that both the affected livestock farmers and members of the community lost confidence toward the police, Besides, the perspectives on stock theft prevention in LIM and KZN reflect a greater challenge, with inadequate solutions present, since the current preventative measures are ineffective. Thus, understanding stock theft phenomenon is critical to its prevention as the sector of livestock in South Africa is the contributory key to the value of the agricultural economy.
Power Yoga: Variable-Stretch Security of CCM for Energy-Efficient Lightweight IoT

The currently ongoing NIST LWC project aims at identifying new standardization targets for lightweight authenticated encryption with associated data (AEAD) and (optionally) lightweight cryptographic hashing. NIST has deemed it important for performance and cost to be optimized on relevant platforms, especially for short messages. Reyhanitabar, Vaudenay and Vizár (Asiacrypt 2016) gave a formal treatment for security of nonce-based AEAD with variable stretch, i.e., when the length of the authentication tag is changed between encryptions without changing the key. They argued that AEAD supporting variable stretch is of practical interest for constrained applications, especially low-power devices operated by battery, due to the ability to flexibly trade communication overhead and level of integrity.In this work, we investigate this hypothesis with affirmative results. We present vCCM, a variable-stretch variant of the standard CCM and prove it is secure when used with variable stretch. We then experimentally measure the energy consumption of a real-world wireless sensor node when encrypting and sending messages with vCCM and CCM, respectively. Our projections show that the flexible trade of integrity level and ciphertext expansion can lead up to 21% overall energy consumption reduction in certain scenarios. As vCCM is obtained from the widely-used CCM by a black-box transformation, allowing any existing CCM implementations to be reused as-is, our results can be immediately put to use in practice. vCCM is all the more relevant because neither the NIST LWC project, nor any of the candidates give a consideration for the support of variable stretch and the related integrity-overhead trade-off.
Spoken Language Identification on Local Language using MFCC, Random Forest, KNN, and GMM

Spoken language identification is a field of research that is already being done by many people.There are many techniques proposed for doing speech processing, such as Support Vector Machines, Gaussian Mixture Models, Decision Trees, and others.This paper will use the system using the Mel-Frequency Cepstral Coefficient (MFCC) features of speech input signal, use Random Forest (RF), Gaussian Mixture Model (GMM), and K-Nearest Neighbor (KNN) as a classifier, use the 3s, 10s, and 30s as scoring method, and use dataset that consists of Javanese, Sundanese, and Minang languages which are traditional languages from Indonesia.K-Nearest Neighbor has 98.88% of accuracy for 30s of speech and followed by Random Forest that has 95.55% of accuracy for 30s of speech, GMM has 82.24% of accuracy.
Automated Mosaicking of Medical x-ray Images using SIFT Algorithm

Image registration is a process of joining any number of images that have similar overlapping regions of the same scene in order to make a panoramic image. In the field of medical, multimedia, and image processing applications image registration process stands challenging. The work presented here on medical images can be applicable for long limb operations and scoliosis operations. Traditional x-ray machines produce a single frame of x-ray image containing a portion of the body part, but they can not generate a large view of body x-ray image in a single frame. This problem can be solved by creating panoramic images by combining multiple images. The work proposed in this paper can automatically produce panoramic x-ray images by stitching multiple x-ray images. The proposed work uses scale-invariant feature transform (SIFT) for mosaicking x-ray images as a local feature point extractor which uses the difference of Gaussian (DOG) and invariant to orientation and scale. Based on the location relationship of x-ray images, random sample consensus (RANSAC) is incorporated to remove the effect of mismatched point pairs in x-ray images and to generate the panoramic view. The performance of the system is computed by using structural and time constraint parameters and is compared with different feature detection techniques. The experimental results show that combing SIFT and RANSAC yields less processing time with an increase in similarity measures.
Recommendations for Future Data Management Plans in Earth System Sciences

Abstract. Most research activities in Earth System Sciences (ESS) are data-driven. There is a growing need to establish innovative, cross-cutting data management and data analysis methods in ESS to support the collaboration of interdisciplinary research building on heterogeneous sources. Data management plans (DMPs) are structured documents that outline data handling and include for instance agreements on roles, specifications of data products, and definition of workflows. However, the structure of existing DMP templates is mostly designed for funder’s requirements and consequently address only the broad and interdisciplinary research community. Thus, these templates do lack (1) guidance on how to structure domain-specific information in a DMP – by providing domain-specific profiles, e.g. to harmonize the structure and improve the comprehensibility of DMP instances and (2) (linking into) tools enabling efficient management and reuse of information / sections of DMP instances. Therefore, we provide a concept of future DMP templates and address geo-domain-specific requirements, and the integration of DMPs into research data infrastructures. We recommend integrating structured provenance and quality information, using established concepts, and define a pathway to link tools into research data infrastructures, such that they foster automation of data management workflows and data reuse.
Individual educational paths

At present, professional institutions are operating under difficult conditions. To maintain competitiveness, universities are trying to attract students also by individual training. The article gives the results of a survey of students with the purpose to determine the problem of actualisation of the individual educational path of a student. Analysis of the survey results showed the level of student’s knowledge about the possibilities of individualization of the educational process, maturity of ideas about individual educational paths and attitude to them, and participation in their constructionand actualisation.
Who Are We Listening to? The Inclusion of Other-than-human Participants in Design

Designers' considerations of whom to include as a participant in design research continue to broaden, listening to individuals and communities previously unheard.Some even argue that other-thanhuman entities should be recognized as a type of participant, advocating for non-humans to have a voice in the design process.Through this paper we contribute to this conversation, arguing for a remembering of how to attend to our interactions with diverse forms of life.We refer to these entities as 'pervasive peripheral participants', drawing on early scholarship of Jean Lave and Etienne Wenger.We use this provocative phrase deliberately, to prompt us to consider how we learn with and through these relationships.Non-human, peripheral participants are ubiquitous in all aspects of life, and may inspire designers throughout their project's lifetime, from the environments in which they work, to the resources they use.These participants implicate and are implicated through design.While we recognize that the inclusion of pervasive peripheral participants in design processes is a challenging step to take, this paper holds up scholarly contributions which offer insights to those willing to join this work.We look to projects that do not limit participation in design to human-centred perspectives.These projects offer examples of how to engage with other-than-human ways of being, responding to Daniel Heath Justice's call to "imagine otherwise" (danielheathjustice.com).Learning from these approaches, we imagine how we might attend to relations with otherthan-humans through relinquishing control, fostering collaboration and relationality, practicing reciprocal acts of care, and valuing other temporalities.In doing so, we envision a future when interaction design practice welcomes a broader array of participation, creating space for more ethical and diverse worlds.
Résumé builder over rejuvenated AI features in website development

This paper addresses valuable tips and methods and takes into consideration the building of and expert site along with analyzing issues in site advancement. Our project “CONTRIRESUM” covers all enhanced features needed for anyone to develop their resume. These rejuvenated features will help the user to build a resume in less time with more modernized attributes, including a presentation video. An exceptional feature which makes the website unique among all is that it helps the user in transferring the resume to the respected companies of his own will. “CONTRIRESUM” will further examine how to make the procedure proficient and successful by refining the website at every single step of development. Once attending it, we will further experience issues often raised by the client along with how we can comprehend the specialized terms. This includes concerns such as code reusability, creation, organizational structure, necessity gathering, and much more. Our work relies on the usage of artificial intelligence in the selection of resumes and then automatically shares them to respective employers based on the skills of the candidates. Hence, classification algorithms play a major role here.
Formation Of Professionally Significant Qualities Under The Gestalt Approach

The objective of this study is to develop and test a training programme for psychologists working with loss under the Gestalt Approach and to determine its effectiveness.The hypothesis is the assumption that a training programme specially developed for psychologists working with a loss under the Gestalt Approach will contribute to the level of development of professionally significant qualities (empathy, emotional warmth, reflection) that a psychologist who works with people who have experienced loss shall possess.The study (N = 104) was participated by students aged 19 to 22, including 50 girls and 54 boys.The subjects were divided into two groups: experimental and control groups.Each group consisted of 52 people.The study used: Diagnostics of the level of empathic abilities, Questionnaire of reflexivity, Determination of the personality orientation.Methods of mathematical data processing -φ*, Fisher's criterion.Testing of the training programme for psychologists working with loss under the Gestalt Approach showed the effectiveness of the programme, which contributed to the level of development of professionally significant qualities as confirmed by mathematical and statistical methods of the study data processing.Further prospects of the study can be aimed at developing a comprehensive model for training specialists-psychologists to work with loss under Gestalt Approach.
Classification of Toddler Nutrition Using C4.5 Decision Tree Method

Nutrition is very much needed in the growth of toddlers. It is very important to give babies a balanced nutritional intake at the right stage so that the baby grows healthy and is accustomed to a healthy lifestyle in the future. Children under five years of age are a group that is vulnerable to health and nutrition problems. In determining the nutritional status, it can be done in a system manner using the C4.5 decision tree classification method and entering several variables or attributes. The dataset tested was 853 toddlers. Classification is carried out to determine the nutritional status based on the weight/age (BB/U), height/age (TB/U) and weight/height (BB/TB) categories. The attributes used for the classification of BB/U are gender, weight and age. The attributes used for TB/U are gender, body length or height, and age. The attributes used for BB/TB are gender, weight, body length or height, and age. The average accuracy of the BB/U category is 90.16%, the average accuracy of the TB/U category is 76.64%, and the average accuracy of the BB/TB category is 83.83%.
Knowledge Compilation for Nondeterministic Action Languages

We study different languages for representing nondeterministic actions in planning from the point of view of knowledge compilation. Precisely, we consider succintness issues (how succinct is the description of an action in each language?) and complexity issues (tractability or hardness of several queries which arise naturally in planning and belief tracking). We study an abstract, nondeterministic version of PDDL, nondeterministic conditional STRIPS, the language NNFAT of NNF action theories, and the language NPDDLseq obtained by adding a sequence operator to nondeterministic PDDL. We show that these languages have different succinctness and different complexity even for the most natural queries.
Conference Report: The Third Conference of the East European Network for Philosophy of Science (EENPS 2021), 9–11 June, 2021

Article Conference Report: The Third Conference of the East European Network for Philosophy of Science (EENPS 2021), 9–11 June, 2021 was published on June 1, 2021 in the journal KRITERION – Journal of Philosophy (volume 35, issue 2).
Byzantine-tolerant uniform node sampling service in large-scale networks

We consider the problem of achieving uniform node sampling in large scale systems in presence of Byzantine nodes. This service offers a single simple primitive that returns, upon invocation, the identifier of a random node that belongs to the system. We first propose an omniscient strategy that processes on the fly an unbounded and arbitrarily biased input stream made of node identifiers exchanged within the system, and outputs a stream that preserves the uniformity property (same probability to appear in the sample). We show that this property holds despite any arbitrary bias introduced by the adversary. We then propose a strategy that is capable of approximating the omniscient strategy without requiring any prior knowledge on the composition of the input stream. We show through both theoretical analysis and extensive simulations that this strategy accurately approximates the omniscient one. We evaluate the resilience of the strategy by studying two representative attacks. We quantify the minimum number of identifiers that Byzantine nodes must insert in the input stream to prevent uniformity. Finally, we propose a new construction in series that allows to both increase the accuracy of a single sketch and decrease the time to converge to a uniform output stream.
USING SCRABBLE FOR LEARNING ENGLISH VOCABULARY AT MAN 2 KUANTAN SINGINGI

Reading, writing, listening, and speaking are four language skills that need to be mastered. The skills include language components: vocabulary, grammar, spelling, and pronounciation. Among the language components, vocabulary become potential to be improved with various medias of learning since vocabulary is one of the main factors to understand a language. Therefore, this research is determined to find out the impacts of using scrabble for learning English vocabulary at Kampung Inggris Pare AEC MAN 2 Kuantan Singingi. The scrabble game can help the students understand vocabulary easily. They have to arrange words using the given letter tiles onto the board game. The method used to do this analysis is qualitative research method due to its suitability for generating the data properly. The result of this research shows that scrabble does not only improve the motivation and interest, but also students’ vocabulary mastery in term of spelling, pronouncing and memorizing of vocabulary, and also gives much contribution to their speaking ability as well. The class can be more enjoyable, and furthermore, such class can make the students enthusiastic and confident to speak English.
Information Model for Monitoring the Development of the University

Higher education institutions are becoming increasingly complex and self-developing systems. Monitoring the activities of such systems requires a special approach and includes three main elements, that is, external monitoring, independent evaluation and internal monitoring. In the framework of this article, the main task of monitoring is the analysis and disclosure of internal patterns, causes and trends of the development processes of a university. In these conditions, the need to move to a broader model for solving and reducing complexity based on information and knowledge is revealed. The model reduces the uncertainty of the environment and thus provides more effective decision-making. The monitoring model includes changes in the strategic planning process that are consistent with the characteristics of the new organizational model. Ontologies, as a theory of content, which allow formalizing processes and knowledge, are a key element in this context.
Metafunctions in the Thirukkural: A Systemic Functional Linguistics Analysis

‘Thirukkural’ written by Thiruvalluvar, is the most well-known and highly regarded work in the history of Tamil literature. Also, it is well known for its particular structure and wording. It is a distinctive and highly appealing work. Thirukkural has been studied approaching different literary theories. This paper tries to analyse Thirukkural based on the functional method of M. A. K. Halliday, his Systemic Functional Linguistics (SFL). Here, one chapter – Education - of 133 chapters of the Thirukkural is analyzed using Systemic Functional Linguistic framework to achieve functional groupings of the writer’s linguistic choices in order to express the meanings and find out how functional features contribute to making the poem potentially. The linguistic data collected from the Thirukkural were analyzed by using the functional analysis method. Consequently, how interpersonal relationships are created within texts, how information is organized in texts and how the ideological positions of writer are implanted in texts were shown and interpreted.