Reviewerly/exHarmony huggingface dataset:
Perancangan Aplikasi Enkripsi Messenger dengan Menggunakan Metode RC-6 Berbasis Android

Current technological developments allow humans to communicate and exchange information remotely. Along with that, the demand for the confidentiality of information exchanged is increasing. Therefore, a branch of science was developed that studies ways of securing data or better known as cryptography. The RC6 algorithm is included in cryptography that has strong security and includes symmetric cryptography (has the same key when encryption and decryption). This application performs cryptography on text in the form of letters, the results of this study are in the form of an android-based chat application that can send messages that have been encrypted using the RC6 algorithm, so that the confidentiality of these messages can be maintained.
Using Context and Data to Create Smarter Conversations

Context refers to all the knowledge, perception, language, and environment that affect the exact interpretation of an utterance and conversation. To understand context, think of a simple request you’d make of someone—maybe “Open the window upstairs” or “Turn down the volume” or “What time do we need to leave?” What assumptions do you make when saying this? How does your wording change depending on who you’re talking to, their current location as well as your own, how well they know you and the topic, who else is nearby, what they’re doing, and what else is happening around you? How might the response differ depending on the assumptions you make?
Deep Reinforcement Learning with VizDoomFirst-Person Shooter

In this work, we study deep reinforcement algorithms forpartially observable Markov decision processes (POMDP) combined withDeep Q-Networks. To our knowledge, we are the first to apply standardMarkov decision process architectures to POMDP scenarios. We proposean extension of DQN with Dueling Networks and several other model-freepolicies to training agent using deep reinforcement learning in VizDoomenvironment, which is replication of Doom first-person shooter. We de-velop several agents for the following scenarios in VizDoom first-personshooter (FPS): Basic, Defend The Center, Health Gathering. We com-pare our agent with Recurrent DQN with Prioritized Experience Replayand Snapshot Ensembling agent and get approximately triple increase inper episode reward. It is important to say that POMDP scenario closethe gap between human and computer player scenarios thus providingmore meaningful justification for Deep RL agent performance.
Plenary Talk I: Modified AES Algorithm for Strong Encryption &amp; Enhanced Security

Networks today an inherent part of all defence or military organisations. Any loss of data from defence networks directly impacts the national security. Hence, this data has to be protected using strong encryption techniques. The Advanced Encryption Standard (AES), is a Federal Information Processing Standard (FIPS) for symmetric cryptography since 2001 and is the most popular encryption standard for securing data. However, the AES is known to be prone to brute force attacks and other forms of cryptanalysis. This address presents a conceptual model of modified AES algorithm, which will make it more complex, less prone to brute force attacks, tweak the algorithm so it is not known to attackers, and introduce a near true randomness to make it stronger and ideal for use in defence networks.
Indistinguishability Obfuscation from Well-Founded Assumptions.

Indistinguishability obfuscation, introduced by [Barak et. al. Crypto 2001], aims to compile programs into unintelligible ones while preserving functionality. It is a fascinating and powerful object that has been shown to enable a host of new cryptographic goals and beyond. However, constructions of indistinguishability obfuscation have remained elusive, with all other proposals relying on heuristics or newly conjectured hardness assumptions. In this work, we show how to construct indistinguishability obfuscation from subexponential hardness of four well-founded assumptions. We prove: Informal Theorem: Let τ ∈ (0,∞), δ ∈ (0,1), ∈ (0,1) be arbitrary constants. Assume sub-exponential security of the following assumptions: - the Learning With Errors (LWE) assumption with subexponential modulus-to-noise ratio 2kє and noises of magnitude polynomial in k, where k is the dimension of the LWE secret, - the Learning Parity with Noise (LPN) assumption over general prime fields ℤp with polynomially many LPN samples and error rate 1/lδ, where l is the dimension of the LPN secret, - the existence of a Boolean Pseudo-Random Generator (PRG) in NC0 with stretch n1+τ, where n is the length of the PRG seed, - the Decision Linear (DLIN) assumption on symmetric bilinear groups of prime order. Then, (subexponentially secure) indistinguishability obfuscation for all polynomial-size circuits exists. Further, assuming only polynomial security of the aforementioned assumptions, there exists collusion resistant public-key functional encryption for all polynomial-size circuits.
The Efficacy of Using Team Assisted Individualization (TAI)   in Teaching Reading Stories to  Indonesian English as Foreign Language (EFL) Students

This research aims at finding out the efficacy of using Team Assisted Individualization technique in teaching reading especially stories to Indonesian English as Foreign Language (EFL) students. The main question of this research: Is the use of the Team Assisted Individualization technique effective in teaching reading stories to Indonesian EFL students?.  The research can be an addition to the persisting teaching reading stories of English particularly the use of the Team Assisted Individualization technique.  This research was conducted at the tenth-grade students at SMA Kristen Mercusuar Kupang, an Indonesian High School. The total number of samples was 25 students. The research used a pre-experimental method with a pre-test and post-test design. The pre-test was given to find out the basic ability of the students in reading stories and the post-test given to find out the students’ improvement in reading stories after giving the treatment by using of Team Assisted Individualization technique. The findings show that using the Team Assisted Individualization technique is effective in teaching reading stories to Indonesian EFL students. It is supported by the result of the significance test through SPSS 20 program that the P was 0.00.  Therefore, it is recommended to use the Team Assisted Individualization technique in developing students’ competence in reading stories of Indonesian EFL students.
ГЕНДЕРНЫЕ АСПЕКТЫ СТРАТЕГИИ ТРУДОУСТРОЙСТВА МОЛОДЫХ СПЕЦИАЛИСТОВ (ПО РЕЗУЛЬТАТАМ СОЦИОЛОГИЧЕСКОГО ИССЛЕДОВАНИЯ)

According to the results of empirical sociological research, the article analyzes that the majority of young professionals ' primary choice of profession was successful and is implemented in the specialty or close to it. Especially consistent in this young men who have a slightly higher level of competence, but experience (more often than girls) lack of practical experience. The occupational-gender division of labour is traditional. The most common way of employment are social ties. The effectiveness of employment institutions-job fairs, employment services-is still low.
An Empirical Analysis of the R Package Ecosystem

In this research, we present a comprehensive, longitudinal empirical summary of the R package ecosystem, including not just CRAN, but also Bioconductor and GitHub. We analyze more than 25,000 packages, 150,000 releases, and 15 million files across two decades, providing comprehensive counts and trends for common metrics across packages, releases, authors, licenses, and other important metadata. We find that the historical growth of the ecosystem has been robust under all measures, with a compound annual growth rate of 29% for active packages, 28% for new releases, and 26% for active maintainers. As with many similar social systems, we find a number of highly right-skewed distributions with practical implications, including the distribution of releases per package, packages and releases per author or maintainer, package and maintainer dependency in-degree, and size per package and release. For example, the top five packages are imported by nearly 25% of all packages, and the top ten maintainers support packages that are imported by over half of all packages. We also highlight the dynamic nature of the ecosystem, recording both dramatic acceleration and notable deceleration in the growth of R. From a licensing perspective, we find a notable majority of packages are distributed under copyleft licensing or omit licensing information entirely. The data, methods, and calculations herein provide an anchor for public discourse and industry decisions related to R and CRAN, serving as a foundation for future research on the R software ecosystem and "data science" more broadly.
Next-generation trapped-ion quantum computing system

In this work we discuss the progress of commissioning the next-generation trapped-ion quantum computing system. Heating rates, coherence times, background gas collision rates, individual-addressing cross-talk and other factors contributing to the gate fidelity are discussed.
Deployment of Webgis Spread Location Natural Resources of Labuhanbatu Regency

Natural resources abound in the Labuhanbatu region of North Sumatra. Natural resources are plentiful in the district. The labuhanbatu were unaware of their abundance of natural resources. We will establish dominion over Labuhanbatu's location and abundance of natural resources. Utilizing Geographic Information Systems (or GIS, as it is more commonly known) in an ever-changing internet environment. People are constantly seeking access to data, and the Labuhanbatu community will benefit from GIS (Geographic Information System). Create an interactive map of the subdistrict's natural resources for the benefit of nearby residents. Collecting data in a GIS may or may not be easy. Additionally, horticulture, poultry, plantations, and fisheries are included, as are natural resources that benefit the soil.
ПРОБЛЕМЫ ФОРМИРОВАНИЯ СОЦИАЛЬНЫХ НАВЫКОВ УЧАЩИХСЯ НАЧАЛЬНЫХ КЛАССОВ

The presence of a person's socially positive characteristics, activity, creative thinking, ability to solve social problems are dictated by the demands of modern society. This is one of the main tasks of educating a future competitive personality. Therefore, you should pay attention to the formation of the nature of the child in social conditions. Such a social demand of society leads to giving special attention to the self-realization of the individual, independent maturing, the formation and development of the social skills of primary school students as the basis for effective socialization. Through the development of social skills and creative activity of primary school students, we bring up an individual who meets the needs of society and the process of interaction with the environment. A creative person with highly developed social skills can fight back in times of crisis and in the period of rethinking values and direct their behavior for the benefit of their own and social values.
ЭМОЦИОНАЛЬНО-ВОЛЕВАЯ СФЕРА ЛИЧНОСТИ В ПРОЦЕССЕ УПРАВЛЕНИЯ

The article discusses the theoretical foundations of the psychological characteristics of the emotional- volitional sphere of the individual in the management process. The authors, considering emotion as a subjective experience of satisfying a person‘s needs, described its three main components. At the same time, information is given on various phenomena of a person‘s emotional life, on affects, emotions, feelings, attitude and stress. The psychological health of the leader, his main directions, energy sources, consequences, will, as a conscious regulator of behavior and activities in overcoming internal and external conflicts are considered.
Perancangan Sistem Pakar Diagnosa Penyakit Meningitis Menggunakan Metode Forward Chaining

This study aims to design an expert system for diagnosing meningitis using the forward chaining method at Makassar Daya Hospital which seeks to adopt human knowledge to computers, so that computers can solve problems as is usually done by special meningitis experts. This type of research uses the forward chaining method as a tool to detect early suspected meningitis (inflammation of the lining of the brain) and how to prevent it. This system is tested using white-box testing to ensure that the system is free from logical errors and its validity is guaranteed. The product produced from this study is an expert system that can handle patients easily and quickly so that the resulting service is better.
EXPLORING CONFIDENTIAL DEDUPLICATION OF DATA USING BIG DATA IN CLOUD COMPUTING STORAGE

To decrease the selecting time and reaction time between Token deals and reaction, File move or download mentioning and results. It diminishes the extent of extra room in flowed limit. To ensure about the assurance of information differential confirmed copy check is utilized. It presents this supported copy check in half and half cloud structure. The mutt cloud arrangement proposes about both the open cloud and the private cloud. So as to give progressively conspicuous security, the private cloud is equipped with staggered check. Kinds of progress in scattered figuring are inciting a promising future for Collaborative Cloud Computing (CCC). To decrease the getting ready time and reaction time between Token deals and reaction, File move or download mentioning and results. Where comprehensive dispersed dissipated cloud assets having a spot with various affiliations or people (i.e., segments) are aggregately utilized in a strong strategy to give organizations. The records are dealt with in the cloud. That is each customer selects an information key to encode the information that he plans to store in the cloud. It depicts a computationally unassuming procedure for making all log portions made. Going before the logging machine's trade off unfathomable for the assailant to examine and besides hard to elusively adjust or wreck. Each Client computes an information key to encode the information that he would like to store in the cloud
The status of media library of greater Guwahati, Assam: A survey of its resource management

This research paper focuses on how the management of the media library and its resources has been done in greater Guwahati, Assam. This paper deals in unveiling the affiliation, organization and protection of the resources of the media libraries. At first stage the media library resources were mostly available on tapes, films, reel, etc. But with the emergence of ICT, the resources are available in digital mode like CDs, DVDs, etc. Now-a-days as the globalization economy is on the way to becoming more competitive and more successful, a media library along with other basic resources such as money, materials, and manpower also needs finest information resources. The study yields some interesting findings. In some cases, some doubtful results have been arrived in answer to the reliably sorted out quest.
FACEMASK RECOGNITION IN PANDEMIC CAUSES MULTIPLE HEAD CRUCIAL PROBLEM CLASSIFICATION

—A chronicle respiratory system condition like Breathing issues to Asthma patients after covering his/her mouth and nose make a tough challenge. Mainly the physical barrier are to take breath in oxygen, it also pack CO2 which the person exhale. A mask can feel high suffocation and add a compromised Head crucial problem stratification is in general used for the fore handling ahead of the facial acknowledgement &amp; facial several inclination issues and only for this reason an algorithm like recognition of front facial expressions as a input images. However pretentious by Corona virus epidemic, public put on face masks to safe ourselves safety, for that face will protected by mask. However this research paper set up a proposed method in this research paper of combining the face portrait with the High speed - channel of the Hue Saturation Value color channel and grayscale image, and train the Convolution Neural Networks to enhance applications that is HGL method. In line portrait we have to generate the image insert it into Convolution Neural Networks for training. Without any processing insert the original picture of the Red Green Blue color space into the Convolution Neural Networks. Fine grained Net Structured Aggregation: FSA – NET stand for Fine grained Structured Aggregation. It is the method to use to remember the structure of a single Red Green Blue color space image. Since the output of this network is the Euler angle of the head pose, we have chosen a set of thresholds that are most effective for pose classification. The way to solve this issue is to provide help for the study of multi-angle problems. In practically, we can practice for a face detection algorithm that differentiate between wearing a mask or demask. If the facial image with masks, we can recommend this method proposed in this paper, and if it is a normal facial image, we can recommend Fine grained Structured Aggregation or Line Portrait algorithm, etc. The very first step of this algorithm to res
Tuning signature modes in guitars—A lesson by Faustino Conde

The low-frequency range strongly determines sound quality in a classical Spanish guitar. In the range above the fundamental air mode A0 at roughly 100 Hz and below 400 Hz, most guitars reveal one or two main plate/body resonances. A progressive construction from Faustino Conde in 1964 was meant to leverage versatility across classical and flamenco guitar styles, and it reveals four distinct and well-balanced resonances in the mentioned range. Related modes have intensely been discussed for the violin, the so-called signature modes, but not necessarily for the guitar. This contribution points at constructive reasons behind the multiple resonances, identifies related tuning parameters which are finally part of a general analytical model. Analytical results deliver related eigenfrequencies while numerical analyses yield the modes’ relative mobility, in agreement with both, an experimental set-up and diverse measurements at the guitar. In conclusion, all guitars could have more than two resonances, but the parametrical space of the four related parameters is wide and the tuning is delicate.
PENANGANAN KLASIFIKASI KELAS DATA TIDAK SEIMBANG DENGAN RANDOM OVERSAMPLING PADA NAIVE BAYES (Studi Kasus: Status Peserta KB IUD di Kabupaten Kendal)

The Family Planning Program (KB) launched by the Government of Indonesia to address the problem of population control does not always produce the desired program results. In 2017, there were 7 users of the IUD contraceptive type of contraceptive who failed from 1,102 new IUD users in Kendal Regency so that the ratio of success and failure to the IUD KB program when compared to users of the new IUD KB is 0.64%: 99.36% . The ratio of success and failure of family planning programs which tend to be unbalanced makes it difficult to predict. One of the handling imbalanced data is oversampling, for example using Random Oversampling (ROS). Naive Bayes is used for classification because it’s easy and efficient learning model. The data in this study used 14 independent variables and 1 dependent variable. The results of this study indicate that the G-mean of Naive Bayes is less than 60%. The G-mean of ROS-Naive Bayes is 96.6%. It can be concluded that in this research, the ROS-Naive Bayes method is better than the Naive Bayes method for detecting the success status of IUD family planning in Kendal Regency. Keywords: Naive Bayes, Random Oversampling, G-mean
THE EFFECT OF ELECTRONIC LEARNING (E-LEARNING), INFORMATION TECHNOLOGY AND MOODLE MEDIA ON LEARNING

The research aimed to determine the effect of e-learning, information technology and moodle media on learning activities. This research was conducted using a questionnaire data collection technique. While the population in this study amounted to 100 respondents who were random sampling consisting of students, students, teachers, and lecturers. Data were processed using IBM SPSS Statistics 23.00 using the classical assumption test, multiple regression, T test and F test as well as the coefficient of determination. The results of this study indicate that e-learning, information technology and moodle media have a significant influence on learning activities.
A survey paper on cross-language information retrieval

As of now, the quantity of individuals getting to data over the web is expanding quickly step by step. An immense measure of data on the web is prepared in various dialects which can be gotten to anyone across anyplace whenever required. Looking for data is not any more restricted to the local language of the client, more outstretched to different dialects. This is been the reason for Cross-Language Information Retrieval. Here it manages to recover relevant data put away in a language that is unique in relation to the languages of the client's question. Multi-lingual data is flooding absurd these days. This variety of pages, almost in each famous language on the planet empowers the client to get to data in various languages on their decision. Yet, now and again the client is trying to compose their solicitation in a language they are familiar with, this is the reason that gives Cross-Language Information Retrieval (CLIR) for web applications useful. In this paper, we will discuss the issue identified with language interpretation. We in the paper display a strategy to certainly resolve ambiguities utilizing dynamic gradual grouping in Kannada to English cross-language data recovery. In this system, an inquiry in Kannada is first converted into English by looking into Kannada-English word reference, at that point reports are recovered dependent on space vector recovery for deciphered question terms.