Reviewerly/exHarmony huggingface dataset:
Arquivamento de dados genÃ©ticos com finalidades penais: interesses em jogo, regulaÃ§Ãµes europeias e soluÃ§Ãµes adotadas pelo legislador italiano

For any legal system, having a genetic database for the purposes of criminal justice represents an unavoidable but particularly delicate challenge. Unavoidable, because storing DNA profiles that belong to a given subjective population for computer comparison means providing investigators with resources of undeniable probative value. Particularly delicate, as the choices that determine the acquisition, conservation and consultation of genetically significant data generate the impact of the â€œbiologisation of securityâ€ on so-called informational privacy , namely the right of the individual to check information that regards his/her personal sphere, defined by article 8 of the European Convention for the Protection of Human Rights and Fundamental Freedoms. In Italy, the DNA database has recently become operational, following a laborious legislative procedure. This contribution sets out to analyse the technical and value-related bases for law no. 85 of 2009 and the provisions for its introduction. It also proposes to assess this lawâ€™s capacity to ensure an adequate balance between contrasting interests that keep within the parameters of reasonableness and proportionality, as well as being in congruence with the jurisprudence of the European Court of Human Rights. It is only on these conditions that the sacrifice required of â€œgenetic privacyâ€ for the pursuit of the aims of criminal justice could be deemed culturally and socially acceptable, as well as juridically legitimate. Indeed, there is no doubt that the collective demand for security has become progressively more insistent, also in view of the growth of terrorism. Just as undeniable, however, is the publicâ€™s growing sensitivity towards the various aspects of personal confidentiality, especially regarding a genetic heritage that is now seen as a mark of subjective individuality. No modern law system can thus avoid the task of making technology an ally of privacy, especially in the ambit of criminal justice.
A decision tree algorithm for predicting amount of batik tulis lasem production by decision support system to support financial feasibility

Decision Support System for financial feasibility of the Batik Tulis Lasem Industry can process input data based-on Assumptions Value, Investment Costs, and Operational Costs into output in the form of recapitulation of Fund Sources, Projection of Profit a nd Loss and Projections of Cash Flows and value determinants of business feasibility such as: Net Present Value (NPV), Internal Rate of Return (IRR), and PayBack Period (PP). By this application, the researchers did a simulation asumtion value of Batik Tulis Lasem amount production. It was used 9 categories of Batik Tulis Lasem products, such as: Batik 1 Color Cheap, Batik 1Color Medium, Batik 1 Color Expensive, Batik 2 Colors Cheap, Batik 2 Colors Medium, Batik2 Colors Expensive, Batik 3 Colors Cheap, Batik 3 Colors Medium, and Batik 3 Colors Expensive. Simulation results are used as data in this study. The purpose of this study is to classify financial feasibility based-on the number of products produced. The algorithm used is Decision Tree. The data used is 100 records. Rule generated from the Decision Tree algorithm has an accuracy value of 95%. From the resulting the Decision Tree, there are 3 important rules can be taken in determining the amount of production.
PSYCHOLOGIC-PEDAGOGICAL AND TECHNOLOGICAL CONDITIONS OF ORGANIZING THE ASTONISHMENT IN AN EDUCATIONAL PROCESS

The transition of Ukrainian education, science and technology to European integration on the Bologna principles necessitates the need to seek optimization and development of a methodological system for organizing students' independent work. The author proposes the principles of autodidactics as a technology of self-education to address the problem of organizing students' independent work, in particular chemists.Autodidactics developed as a universal system of self-education by V. O. Kurinskiy gave a way to new, unknown as of XX century beginning, perspectives and possibilities to implement paradigm "Lifelong learning".Education is received during learning, whose main and central element is the process of training. A necessary condition for this is to suggest and embed an entire system of actions in initiating and developing an actual interest. A primer of the concern and interest is an astonishment.The paper proposes an attempt to solve the problem of actualization of the interest based on organizing the astonishment in an educational process of subject "General chemistry".
Experimental interference of uncorrelated photons

The distinguishing of the multiphoton quantum interference effect from the classical one forms one of the most important issues in modern quantum mechanics and experimental quantum optics. For a long time, the two-photon interference (TPI) of correlated photons has been recognized as a pure quantum effect that cannot be simulated with classical lights. In the meantime, experiments have been carried out to investigate the classical analogues of the TPI. In this study, we conduct TPI experiments with uncorrelated photons with different center frequencies from a luminescent light source, and we compare our results with the previous ones of correlated photons. The observed TPI fringe can be expressed in the form of three phase terms related to the individual single-photon and two-photon states, and the fringe pattern is strongly affected by the two single-photon-interference fringes and also by their visibilities. With the exception of essential differences such as valid and accidental coincidence events within a given resolving time and the two-photon spectral bandwidth, the interference phenomenon itself exhibits the same features for both correlated and uncorrelated photons in the single-photon counting regime.
Application of Text Message Held in Image Using Combination of Least Significant Bit Method and One Time Pad

Stenography and security are one of the techniques to develop art in securing data. Stenography has the most important aspect is the level of security in data hiding, which makes the third party unable to detect some information that has been secured. Usually used to hide textinformationThe (LSB) algorithm is one of the basic algorithms proposed by Arawak and Giant in 1994 to determine the frequent item set for Boolean association rules. A priory algorithm includes the type of association rules in data mining. The rule that states associations between attributes are often called affinity analysis or market basket analysis. OTP can be widely used in business. With the knowledge of text message, concealment techniques will make it easier for companies to know the number of frequencies of sales data, making it easier for companies to take an appropriate transaction action. The results of this study, hide the text message on the image (image) by using a combination of LSB and Otp methods.
Fuzzy Inference System pada Produksi Kerupuk Mie Bulat

Raw material processing business is a business that manages raw materials into finished or semi-finished materials. At present, the effort to defeat the raw material that is in great demand by people is the business of processing raw materials that produce food products such as bread, tempeh, tofu, noodles, crackers which have become public consumption in general. For example, crackers that have a variety of flavors and shapes. One of them is round noodle crackers that we have met in many daily lives and are often consumed by the community. CV. Hariarado is one of the producers of round noodle crackers. Where Cv. Hariarado has not been able to determine production on a weekly basis due to uncertain demand. So this study aims to predict the amount of production produced by CV. Hariarado on a weekly basis. This study uses three variables, namely demand (X), inventory (Y), and production (Z). The results of the calculation show that the prediction of the amount of production produced by Cv. Hariarado with the demand of 950 ball and the supply of 1250 balls in a week is 1039 ball.
Efficient Feature Selection techniques for Sentiment Analysis

Sentiment analysis is a domain of study that focuses on identifying and classifying the ideas expressed in the form of text into positive, negative and neutral polarities. Feature selection is a crucial process in machine learning. In this paper, we aim to study the performance of different feature selection techniques for sentiment analysis. Term Frequency Inverse Document Frequency (TF-IDF) is used as the feature extraction technique for creating feature vocabulary. Various Feature Selection (FS) techniques are experimented to select the best set of features from feature vocabulary. The selected features are trained using different machine learning classifiers Logistic Regression (LR), Support Vector Machines (SVM), Decision Tree (DT) and Naive Bayes (NB). Ensemble techniques Bagging and Random Subspace are applied on classifiers to enhance the performance on sentiment analysis. We show that, when the best FS techniques are trained using ensemble methods achieve remarkable results on sentiment analysis. We also compare the performance of FS methods trained using Bagging, Random Subspace with varied neural network architectures. We show that FS techniques trained using ensemble classifiers outperform neural networks requiring significantly less training time and parameters thereby eliminating the need for extensive hyper-parameter tuning.
A Hierarchy Transformer Network for Extractive Summaries

Extractive Summarization is a popular research subjects in the field of Nature Language Process. The goal of extractive summarization is to select salient segments, sentences or passages from articles. In this paper, a Hierarchy Transformer Network based sequence model is proposed to solve the problems of inefficient and inaccurate when summarizing electrical documents.
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation

To minimize the annotation costs associated with the training of semantic segmentation models, researchers have extensively investigated weakly-supervised segmentation approaches. In the current weakly-supervised segmentation methods, the most widely adopted approach is based on visualization. However, the visualization results are not generally equal to semantic segmentation. Therefore, to perform accurate semantic segmentation under the weakly supervised condition, it is necessary to consider the mapping functions that convert the visualization results into semantic segmentation. For such mapping functions, the conditional random field and iterative re-training using the outputs of a segmentation model are usually used. However, these methods do not always guarantee improvements in accuracy; therefore, if we apply these mapping functions iteratively multiple times, eventually the accuracy will not improve or will decrease. In this paper, to make the most of such mapping functions, we assume that the results of the mapping function include noise, and we improve the accuracy by removing noise. To achieve our aim, we propose the self-supervised difference detection module, which estimates noise from the results of the mapping functions by predicting the difference between the segmentation masks before and after the mapping. We verified the effectiveness of the proposed method by performing experiments on the PASCAL Visual Object Classes 2012 dataset, and we achieved 64.9\% in the val set and 65.5\% in the test set. Both of the results become new state-of-the-art under the same setting of weakly supervised semantic segmentation.
Are Charged Leptons in the Simultaneous Eigenstates of Mass and Family?

Conventionally, the observed charged leptons are regarded the simultaneous eigenstates of "mass" and "family". Against this view, we discuss a possibility that the observed charged leptons $e_i=(e, μ, τ)$ are not identical with the eigenstates of family $e^0_α=(e_1^0, e_2^0, e_3^0)$. Here, we define the eigenstates of family, $e^0_α$, as the states which interact with family gauge bosons in the mass eigenstates of the broken U(3)$_{family}$ gauge symmetry. Although there is at present not any experimental evidence for $e^0_1$-$e^0_2$ mixing, and we have only an upper limit for the mixing from the present experimental data. We will conclude that the $e$-$μ$ mixing angle $θ$ must be $θ\lesssim 10^{-3}$. Thus, we can not exclude a possibility $θ\neq 0$. If we want more small upper limit of $θ$, a rare decay search $μ\rightarrow e + γ$ will be useful.
A Deep Learning approach for Hindi Named Entity Recognition

Named Entity Recognition is one of the most important text processing requirement in many NLP tasks. In this paper we use a deep architecture to accomplish the task of recognizing named entities in a given Hindi text sentence. Bidirectional Long Short Term Memory (BiLSTM) based techniques have been used for NER task in literature. In this paper, we first tune BiLSTM low-resource scenario to work for Hindi NER and propose two enhancements namely (a) de-noising auto-encoder (DAE) LSTM and (b) conditioning LSTM which show improvement in NER task compared to the BiLSTM approach. We use pre-trained word embedding to represent the words in the corpus, and the NER tags of the words are as defined by the used annotated corpora. Experiments have been performed to analyze the performance of different word embeddings and batch sizes which is essential for training deep models.
Identitas Visual pada Signage System di Pusat Perbelanjaan Metro Indah Mall

Mall is a modern shopping center that provides maximum comfort in shopping for visitors. Metro Indah Mall is the largest modern shopping center in East Bandung that provides a variety of needs. Inside Metro Indah Mall there are many facilities and a fairly large commercial area. To make mall visitors stay comfortable when exploring all areas and easily determine the location they want to visit, the visitors need an information board and wayfinding sign that easily to understand, attracts attention and has its own characteristics, soit will easily recognized and understood by visitors. This research uses a qualitative method by conducting observations, interviews, and distributing questionnaires to see how effectiveness the application of signage system are measured by visibility, readability, noticeability, readability, and the use of appropriate materials on signage. It is hoped that this research can help Metro Indah Mall in creating and implementing effective wayfinding sign, so it can improve visitors comfort and can improve the mall's image among visitors.&#x0D; Keywords: Mall, Effectiveness, Wayfinding sign.
A new auditory image for social media: Moving towards correlation of spectrographic analysis and interpretation with audience perception

Spectrogram and other time-frequency analysis methods transfer an audio file into an auditory image. When signal processing-based analysis and interpretation is performed on these auditory images instead of an audio signal, spectrographic analyses can identify interesting patterns that focus on very different aspects of the signal compared to an audio-based analysis. To facilitate an auditory image-based study, a quantitative analysis and interpretation framework is implemented for exploring the spectrographic images in multiple time and frequency scales and for automatically identifying image features that are relevant to human auditory perception. This analysis framework is applied to two social media datasets: (1) soundtracks from video commercials and “hit” music excerpts from social media platforms, and (2) soundtracks from television and film. Analysis results from social media are also compared with audience subjective evaluations to validate the perceptual relevance of the identified spectrographic patterns.
Influence of Lightning Surge on Photovoltaics Considering LPZ Protection Level and IEC-60364 Grounding System

This paper analyzes the change of lightning overvoltage due to the grounding system and LPZ consideration. In IEC-60364, three different grounding methods are introduced to protect the facilities from transient overvoltage in different situation. IEC-61312 defines the LPZ(lightning protection zone) so that different methods of lightning protection can be taken at different protection level. by adjusting surge arresters as specified in IEC-62305. This paper simulates how much lightning overvoltage is occurred in photovoltaics and how its condition varies under the change of grounding system method and the type of surge protection device used.
On the Hamming distances of repeated-root cyclic codes of length $5p^s$

Due to the wide applications in consumer electronics, data storage systems and communication systems, cyclic codes have been an interesting research topic in coding theory. In this paper, let $p$ be a prime with $p\ge 7$. We determine the weight distributions of all cyclic codes of length $5$ over $\f_q$ and the Hamming distances of all repeated-root cyclic codes of length $5p^s$ over $\F_q$, where $q=p^m$ and both $s$ and $m$ are positive integers. Furthermore, we find all MDS cyclic codes of length $5p^s$ and take quantum synchronizable codes from repeated-root cyclic codes of length $5p^s$.
DDA: Are We Meeting Collection Goals or Vendor Sales Targets?

Adelphi University Libraries started an e-book demand-driven acquisitions (DDA) program with Ebrary in January 2014.After one short-term loan a second use triggered a purchase.This trigger was determined by an analysis of how e-books were used in the subscription component of Ebrary, Academic Complete.
Enabling Opportunistic Users in Multi-Tenant IoT Systems using Decentralized Identifiers and Permissioned Blockchains

In this work, we leverage advances in decentralized identifiers and permissioned blockchains to build a flexible user authentication and authorization mechanism that offers enhanced privacy, achieves fast revocation, and supports distributed policy decision points executed in mutually untrusted entities. The proposed solution can be applied in multi-tenant hubs that interconnect diverse IoT silos and enable authorization of guest users, i.e., opportunistic users that have no trust relationship with the system, which has not encountered or known them before.
DEVELOPMENT OF THE PROFESSIONAL PROGRAMS OF A FUTURE EXPERT IN INFORMATION-COMMUNICATION TECHNOLOGIES

Typically, a professiogram is called an exhaustive description of the features of a particular profession, revealing the content of professional work and the requirements that the profession puts to the individual. To evaluate the profession, we will select the criteria that allow it to perform its analysis: content of work; personal qualities, interests and inclinations; scope of professional knowledge; qualities that ensure the success of professional activity (professionally important qualities); qualities that hinder the effectiveness of professional activity.Among the professions in demand among employers are the following: programmer; WEB-designer; system administrator; computer technician; computer set operator, etc. The professional culture of the future specialist in information and communication technologies is a holistic system of qualities of the student, which is combined with his professional knowledge, skills, skills and creative abilities. It takes into account personal development and reflects the level of readiness for professional duties. The ICT professional's profession has been developed based on the Criteria for Accrediting Computing Programs 2018-2019 accreditation program.The author's professiogram of the future specialist in information and communication technologies was developed, while its construction an analysis of the educational and professional program "Information technologies" was carried out, as well as other supporting documents, where the suitability of graduates for employment and further education was analyzed. The future IT professional's professional curriculum reflects the skills, competencies and competencies of the specialist to be pursued in the course of higher education. It gives a clear idea of what the specialist in this field should be, and accordingly develop the content, forms, methods and determine the most optimal ways of his professional training.
Improving Human Annotation in Single Object Tracking

Human annotation is always considered as ground truth in video object tracking tasks. It is used in both training and evaluation purposes. Thus, ensuring its high quality is an important task for the success of trackers and evaluations between them. In this paper, we give a qualitative and quantitative analysis of the existing human annotations. We show that human annotation tends to be non-smooth and is prone to partial visibility and deformation. We propose a smoothing trajectory strategy with the ability to handle moving scenes. We use a two-step adaptive image alignment algorithm to find the canonical view of the video sequence. We then use different techniques to smooth the trajectories at certain degree. Once we convert back to the original image coordination, we can compare with the human annotation. With the experimental results, we can get more consistent trajectories. At a certain degree, it can also slightly improve the trained model. If go beyond a certain threshold, the smoothing error will start eating up the benefit. Overall, our method could help extrapolate the missing annotation frames or identify and correct human annotation outliers as well as help improve the training data quality.
Using ICT as the Tools of Forming the Senior Pupils’ Research Competencies in the Profile Chemistry Learning of Elective Course “Basics of Quantitative Chemical Analysis

Nechypurenko P.P. and Solovyov V.M. Using ICT as the Tools of Forming the Senior Pupils’ Research Competencies in the Profile Chemistry Learning of Elective Course “Basics of Quantitative Chemical Analysis. Aims of the study: to substantiate possibilities of the research competencies formation among senior pupils in terms of profile Chemistry learning by means of practical using information and communicationtechnology while accomplishing an elective course “Basics of quantitative chemical analysis”. This research considers the influence of various ICT tools on the formation of individual study and research competencies, in particular the system components of the research competencies among senior pupils in terms of profile Chemistry learning and the methods of their practical applying while accomplishing an elective course “Basics of quantitative chemical analysis”. Object of the study: ICT tools for Chemistry learning. Subject of the study: ICT tools of research competencies formation among senior pupils in terms of profile Chemistry learning. Methods of the study: reviewing and analyzing scientific publications, expert evaluation, summarizing pedagogical experience. Results of the study: the system of research competencies formation among senior pupils is effectively provided by the correct selection of ICT tools and conditions of their applying for the certain research competence formation, which embodies system components.Our research confirms the idea that the most ICT tools are to be leading in the development of research competencies among senior pupils in profile Chemistry learning. They are successfully tested by means of their applying in the process of studying the elective course “Basics of Quantitative Chemical Analysis”. They show the high effectiveness. Our study confirms that virtual chemical laboratories are the most universal and influential tools of forminghe research competencies among senior pupils in profile Chemistry learning.