Reviewerly/exHarmony huggingface dataset:
Total benefit Adminstration for Industry Environment

Project entitled “Total Benefits Administration System” is primarily focused on maintaining the benefits administration for its clients. It provides a user friendly environment for the both employees of Industry and the end users of the system. This system allows the employees to work closely with every requirement of the clients and the end users. In this application we can easily manage the participant’s benefits, inquiries, personalized communication statements, life events, pension calculations, retirement estimation and many more. Users can view their benefit details, history of payroll and can easily apply to trigger the any of the events. This system will allow a new participant details which can be added, deleted, edited in several step of verification process. It provides user management configuration to add or remove the participant. Each user activities maintained by this system and the errors occurred during usage of the system maintained separately. Finally the reports will be generated for the event details
Perancangan Dan Implementasi Sistem Pengendalian Internal dan Pencatatan Akuntansi Dengan Teknologi Web-Based Pada Sufins Coffee

This article discusses the design, development and implementation of a simple web-based internal control system and accounting records for MSMEs (Micro, Small, and Medium Enterprises). One of the problems which is commonly occur to MSMEs is that they do not have clear cash flows of the enterprise, there is also no financial information report / financial statement that can be used as a guide in making business decisions. MSMEs or the subject who experience the same problem in this study is Sufins Coffee, a business running in the field of coffee shop. The method used in this study is by observation, interviews, and documentation. The implementation of the web-based Accounting Information System (AIS) made by the author shows a very pleasing result. Reports of financial information generated by the new system can assist the owner in making decisions.
LibGuides: Bisexual Resources: Websites

Exploring the bi+ community in its issues, information, and resources for better library services..
LibGuides: Resources for Reading Instruction: Websites for Further Support

A LibGuide for parents seeking books and other resources to help teach a child how to read and/or help improve existing English reading skills towards the goal of reading fluency. Websites for Further Support lists websites of organizations that support and provide resources for new readers and their families. In addition to the main list, subcategories are: Finding eBooks online, and Special Needs and Learning Disabilities.
Kreativnost kao proces: ''Pravac-A'' model

In this paper we presented Robert Sternberg’s ”Straight-A” model of human creativity. It is constructed out of fve elements - overlapping phases – respectively most aﬀecting variables in the creative process: (1) Activators-deactivators, (2) Abilities, (3) Amplifers-attenuators, (4) Appeal to audience and (5) Assessment by audience. The prerequisite of creativity is acting of individuals and their environment, during the all five above-mentioned phases, in the same / right (straight) direction. But, this is rarely the case, so the creative process does not complete itself often. For example, at phase one there are not only activators, at phase two the interaction and synergy of diﬀerent intellectual abilities stay away etc. Psychologically, based on clear validity indicators, this model (for now) plays a theoretical role and has potential for heuristic generativity. It requires systematic empirical review, especially in the felds of internal and external construct validity.
Visibility in Activating Younger Students in Teaching Russian

The article provides information on the use of visualization as a means of organizing an interactive form of work. Visibility contributes to the development of the creative potential of children and the improvement of their speech skills and abilities, forms the ability to learn. Visual means provide the process of formation of linguistic communicative and sociocultural competence of primary school students
Strategy for Foreign Students’ Professional and Language Competence Development

The authors propose a model of pre-master foreign students’ training, based on the formation of professional and language competence of foreign pre-master students during their studies at pre-university courses, and also consider pedagogical technologies of its implementation. Entering the pre-university courses, pre-graduate students have some skills in self-directed scientific research, but they cannot write in a non-native language, read professional literature, create their own scientific text and formalize a statement and present it. The authors propose a specific learning strategy that helps pre-graduate students to acquire oral and written language skills, produce a full monological scientific statement in Russian, get the initial skills in academic writing. Pre-Master’s training of foreign students is characterized by an individual approach to future undergraduates. Developing the strategy aimed at the achievement of the professional and language competences by foreign pre-graduates, the authors implement various learning methods, such as a personality-oriented method, grammar-translation method, communicative method of teaching and a project method. The article sums up the initial monitoring results of the program implementation at pre-university courses of Volgograd State Technical University and formulates the proposals for its further development. Strategic planning of teaching Russian in this direction allows us to rely on the fact that a foreign scientist would be able to solve specific communicative tasks in a non-native language in an academic and professional environment.
HMM-Free Encoder Pre-Training for Streaming RNN Transducer

This work describes an encoder pre-training procedure using frame-wise label to improve the training of streaming recurrent neural network transducer (RNN-T) model. Streaming RNN-T trained from scratch usually performs worse than non-streaming RNN-T. Although it is common to address this issue through pre-training components of RNN-T with other criteria or frame-wise alignment guidance, the alignment is not easily available in end-to-end manner. In this work, frame-wise alignment, used to pre-train streaming RNN-T's encoder, is generated without using a HMM-based system. Therefore an all-neural framework equipping HMM-free encoder pre-training is constructed. This is achieved by expanding the spikes of CTC model to their left/right blank frames, and two expanding strategies are proposed. To our best knowledge, this is the first work to simulate HMM-based frame-wise label using CTC model for pre-training. Experiments conducted on LibriSpeech and MLS English tasks show the proposed pre-training procedure, compared with random initialization, reduces the WER by relatively 5%~11% and the emission latency by 60 ms. Besides, the method is lexicon-free, so it is friendly to new languages without manually designed lexicon.
SISTEM INFORMASI REKAM MEDIS KLINIK BERBASIS MANAJEMEN ARSIP MEDIS MENGGUNAKAN KODIFIKASI WARNA HUFFMAN

Medical record is a file containing records and documents regarding patient identity, examination, treatment, actions and other services that have been provided to patients in health care facilities. The problem that occurs at the Main Clinic of Meditama Semarang is the management of medical data or archives that are less effective and efficient. There was an error in recording the patient's identity, doubling the medical record number, the patient data not being up-to-date, writing the wrong diagnosis with the examining doctor. The medical record information system with Huffman codification is designed with the aim of managing medical record data so that it can run properly, quickly and effectively. The system development method uses SDLC (system development life cycle) by making UML diagrams such as use case diagrams, class diagrams, activity diagrams, entity relationship diagrams as the system design stage. This information system is WEB-based using a web-based programming language supported by a database. The results of this system design are expected to be one solution to the problems that have occurred so far.Keywords: Information System, Medical Record, SDLC, WEB-Based
Extending Description Logics for Semantic Web Ontology Implementation Domains

Semantic web has emerged as the field of integrating various logic families and their extensions. The Description Logic extensions provided considerable attention and research for better expressivity and decidability. The exactness of validity and soundness is provided by extending the rules and axioms as facts and the completeness as every valid statement is associated with a proof. This article provides basics of most powerful way of logic expression – Description Logic (DL) and their interplay with various semantics extensions and also highlights a brief overview of research in nearly last 2 decades for various approaches for reasoning in expressive DLs. The foundation of OWL DL with tractable reasoning is also presented. The blending of logic families are discussed with extensions of the basic representation language systems.
Blockchain Platform Selection for Security Token Offering (STO) Using Multi-criteria Decision Model

Security Token Offering (STO) is the new and reshaped form of the famous Initial Coin Offering (ICO). The thing that distinguishes STO from ICO is the inclusion of several rules from regulators and auditors. The control by regulators and auditors will generate a trade-off between control and decentralization of the STO. We did a simulation for selecting the most suitable blockchain platform for the STO process using the Multi-Criteria Decision Model simulator to cover this issue. The simulation result shows the relation between the selected features, software quality, and the most suitable solution for STO.
A boundary-based tokenization technique for extractive text summarization

The need to extract and manage vital information contained in copious volumes of text documents has given birth to several automatic text summarization (ATS) approaches. ATS has found application in academic research, medical health records analysis, content creation and search engine optimization, finance and media. This study presents a boundary-based tokenization method for extractive text summarization. The proposed method performs word tokenization by defining word boundaries in place of specific delimiters. An extractive summarization algorithm was further developed based on the proposed boundary-based tokenization method, as well as word length consideration to control redundancy in summary output. Experimental results showed that the proposed approach enhanced word tokenization by enhancing the selection of appropriate keywords from text document to be used for summarization.
Real Time Gender Classification using Convolutional Neural Network

This paper presents real time gender classification using Convolutional Neural Network. Automatic classification of gender has become important to an growing array of applications particularly with the emergence of web networks and social media. Slavery was a significant moral problem in the nineteenth century. It was a struggle toward fascism in the modern period. The fight for gender equality across the world, as well as the need to divide gender for meaningful purposes, would, we conclude, be the most critical moral issue of this century. Differences are needed at different places, such as restrooms for men and restrooms for women; attire for men and attire for women; and so on, in order to plan and advance further in the technological sector. To decrease crime rates, to place the advertisements in malls precisely attracting more people based on gender, to keep track of genders in respective toilets or in trains, for personal services, etc. The authors propose the gender classification dilemma for real-time applications, in which a tool decides if the faces within the exposure belong to a female or a male. The primary fundamental region of experimentation in this venture is adjusting a few already distributed, successful designs utilized for gender orientation classification. Generally, facial structure variations have an effect on gender classification accuracy considerably, as a result of facial form and skin texture modification as they become old. This requires re- examination on the sexual orientation classification framework. By learning representations through the utilization of deep-convolutional neural networks (CNN), a major increase in performance is obtained on these tasks.
Speaker-Conversation Factorial Designs for Diarization Error Analysis

Speaker diarization accuracy can be affected by both acoustics and conversation characteristics. Determining the cause of diarization errors is difficult because speaker voice acoustics and conversation structure co-vary, and the interactions between acoustics, conversational structure, and diarization accuracy are complex. This paper proposes a methodology that can distinguish independent marginal effects of acoustic and conversation characteristics on diarization accuracy by remixing conversations in a factorial design. As an illustration, this approach is used to investigate gender-related and language-related accuracy differences with three diarization systems: a baseline system using subsegment x-vector clustering, a variant of it with shorter subsegments, and a third system based on a Bayesian hidden Markov model. Our analysis shows large accuracy disparities for the baseline system primarily due to conversational structure, which are partially mitigated in the other two systems. The illustration thus demonstrates how the methodology can be used to identify and guide diarization model improvements.
When Deep Learning Meets Geophysics

Traditional physical models are no longer the only foundational tools for processing geophysical data; "big data" help to reveal the laws of geophysics from new angles with exciting results so far.
Role of memory in a Bayesian ideal observer model of visual search in natural images

Given a model of target detectability over eccentricity across the visual field, the choice of next fixation is well predicted via a Bayesian ideal observer when the background is 1/f noise (Najemnik & Geisler, 2005). We have recently extended this work to real-world object targets embedded in natural image backgrounds (Rashidi, Ehinger, Turpin, & Kulik, 2020). The presented work studies whether adding short-term memory to the ideal observer model improves predictions of fixation patterns. We recorded eye movements from 5 observers searching for a person in 18 natural backgrounds. The target subtended 0.96 degrees visual angle and could appear at any of 84 possible locations (0-6.75 degrees eccentricity). We model the target detectability against each background using features extracted from deep convolutional neural networks, pooled over spatial regions increasing in size with eccentricity. We feed the calculated detectability maps to the ideal observer model and predict the fixation locations of the human observers. The model assumes that observers integrate information about target location over all previous fixations, so we represent memory span by limiting the integration to the most recent m fixations. We test m=2,4,6,8,10 and perfect memory. We find that the model with a memory span of 4 fixations best predicts human visual search performance (RMSE = 3.476). This improves on the original model which assumes no memory limitations (RMSE = 4.057, t(17) = 2.921, p = 0.0509). When considering only the backgrounds where the mean number of search fixations is greater than 4, RMSE reduces from 4.879 to 4.07 (t(11) = 2.214, p = 0.0488). This suggests that the visual system does not take the entire search history into account when selecting the next fixation location, as suggested in the Najemnik & Geisler model. Instead, the choice of next fixation is primarily based on the previous few fixations.
LibGuides: Bisexual Resources: Home

Exploring the bi+ community in its issues, information, and resources for better library services..
Précis of Take a Look at This! Form, Function, and Productivity of English Light Verb Constructions

English light verb constructions (LVCs), such as make an offer and take a bath, are semi-productive constructions: while some novel combinations of a light verb and eventive or stative noun are acceptable, others are not. LVCs tend to occur in families defined by a shared light verb and semantically similar nominal complements, but it remains mysterious precisely how such families are circumscribed; this presents both theoretical and natural language processing (NLP) challenges. This research first aims to address the void in linguistic resources identifying LVCs in a consistent fashion with the development of annotation guidelines for LVCs within the PropBank project.  Using the resulting annotated corpus of LVCs, another theoretically important question of why LVCs exist alongside semantically similar lexical verbs is addressed: corpus evidence demonstrates that the ease and variety with which LVCs can be modified is the primary motivating factor for their use over a lexical verb.  Finally, large-scale acceptability studies are used to examine the constraints on LVC productivity; the results reveal the importance of statistical preemption in modeling productivity.
Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task.

A cascaded Sign Language Translation system first maps sign videos to gloss annotations and then translates glosses into a spoken languages. This work focuses on the second-stage gloss translation component, which is challenging due to the scarcity of publicly available parallel data. We approach gloss translation as a low-resource machine translation task and investigate two popular methods for improving translation quality: hyperparameter search and backtranslation. We discuss the potentials and pitfalls of these methods based on experiments on the RWTH-PHOENIX-Weather 2014T dataset.
Research of Webpage Complexity Influence on Search Behavior Based on Eye Tracking Experiment

With the development of the Internet, users use electronic devices to browse information continuously for a long time every day. Excessive information brings a lot of cognitive load to users. Many studies have shown that the complexity of the webpage design will affect the search efficiency. For e-commerce webpages, the search efficiency is directly related to the purchase rate. Therefore, through eye tracking experiments, this paper studies the influence of density factors of e-commerce webpage complexity on user search behavior performance and subjective perception, establishes the relationship between webpage visual design and user search usability, and comprehensively constructs evaluation indexes from behavior data and perceptual data. The research results of this paper provide a reference for designers how to arrange information density when designing webpages.
Organization of project activities of students in the additional education system

Additional education, along with school education, is becoming an important link in the general education system, which guarantees the formation of the student’s personality and his or her early professional self-determination. For this reason, all the methods and techniques used by teachers of additional education in their practice should form competencies that meet the requirements of modern society. Nowadays, with a wide variety of forms in the additional education system, project activities are one of the most demanded and innovative areas. This article reveals the main goal of the study of theoretical substantiation and experimental verification of the effectiveness of the pedagogical conditions for organizing the project activities of students in the additional education system. The methodological basis of the study is as follows: the main provisions of the personality-oriented approach; theoretical foundations of the competency-based approach; the provisions of the activity approach. The scientific novelty of the research lies in the fact that a complex of pedagogical conditions was developed that is necessary and sufficient for the effective implementation of project activities in an additional education institution for children. The result of the research is as follows: the developed theoretical provisions and conclusions enable to modernize the organization and content of project activities in the additional education system; a set of pedagogical conditions for implementing project activities of students in the additional education system has been developed. The research results can be used in the work of additional education institutions for children, as well as in other educational institutions.
LibGuides: Bisexual Resources: Library Services and Searching

Exploring the bi+ community in its issues, information, and resources for better library services..
An Analysis of Students’ Demonstrative Pronouns at Seventh Grade of SMP Negeri 3 Tanjungpinang

The purpose of the research was to analyze the students’ demonstrative pronouns at seventh grade of SMP Negeri 3 Tanjungpinang. The researcher applied descriptive qualitative approach as method for analyzing the data. The researcher collected the data through multiple choice test. Multiple choice test was use to find out how well do students using demonstrative pronouns. The test formulated with 25 items multiple choice was used to find out the students in using demonstrative pronouns, the sample of this research was the students at seventh grade of SMP Negeri 3 Tanjungpinang the academic year of 2018 – 2019. The result of the research data showed that the ability of the seventh grade students of SMP Negeri 3 Tanjungpinang found difficult in using demonstrative pronouns, such as; this, that, these and those. The total of average score was 60.29 with the classified as weak. The highest score was 92 and the lowest score was 24. The researcher found the students’ confused in using demonstrative pronouns likethis, that, these, and those. The students did not know the difference between singular and plural in demonstraive pronouns. Therefore, the student have to improve their ability in using demonstrative pronouns.
Multi-Target Search in Euclidean Space with Ray Shooting

The shortest path problem (SPP) asks us to find a minimum length path between two points, usually on a graph. In a Euclidean environment the points are in a 2D plane and here the path must avoid a set of polygonal obstacles. Solution methods for this Euclidean SPP (ESPP) typically convert the continuous 2D map into a discretised representation, like a graph or navigation mesh. RayScan is a recent and fast ESPP algorithm which avoids the preprocessing step by using a combination of "ray shooting" and polygon scanning. In this paper we improve the performance of RayScan using spatial reasoning and ray caching techniques. We also extend the algorithm, from single-target search to a multi-target setting. Comparative game map experiments show a substantial speedup.