Reviewerly/exHarmony huggingface dataset:
Component Loan Application Design and Check Loan Transactions for Dependent Free Letters at the AI Building at The State Polytechnic of Malang Web-Based

The development of information and communication technology is a major need in this advanced era with the aim of all computerized activities ranging from office work, banking, administration, libraries, education, government, organizations, and many more that are very dependent on the sophistication of computers and existing applications. inside it. In the AI ??Polinema Building in the component borrowing room, the component borrowing system and transaction checking for existing collateral-free letters still use the conventional system which causes ineffectiveness in component borrowing and free-of-liberty letter processing. Therefore, a research will be conducted to design a component loan application and check loan transactions for a Web-based free letter. Based on the problems above, in this study the researchers created a system that can support component lending and checking loan transactions for Web-based free letters. This system uses the Visual Studio Code application. From this study, it was found that the system that has been created by the researcher can run well and can help improve the performance of the technicians on duty in the loan room as well as the effectiveness of time for students in the loan process and managing free letters.
Comparative Analysis of Voice Quality on iLBC and Speex Codecs Server PBX with Voice Comparison Method

VoIP servers provide several types of codecs including iLBC and Speex codecs, each type of codec has a different capacity and quality- different. So that in the process of choosing a codec implementation, VoIP becomes one of the things that affect the quality of communication. The iLBC and Speex codecs are intended for high quality but bitrate . By comparing iLBC and Speex communication, VoIP hoped that the better performance between the two codecs would communicate VoIP based on Quality of Service (QoS) and analyze the audio results of VoIP for voice quality analysis using the voice comparison method using Matlab. Based on the results of the research between the iLBC and Speex parameter value QoS including delay codec speex is smaller than iLBC codec of 31.12 ms. The jitter value of the iLBC and speex is the same, namely 0.01. The packet loss value of the iLBC codec is smaller than the speex codec of 6.18%. The results of the sound quality test in matlab using the sound comparison method showed that the delta amplitude codec speex value was smaller than iLBC codec of 0.00004551 volts.
Workshop on Article Writing in Reputable International Journals For Master of Science Education Students

The workshop on writing scientific articles in reputable international journals was attended by 20 participants. This activity is carried out to overcome the problems of students who have difficulty in choosing reputable international journals. The implementation of the workshop was carried out by the method of discussion and demonstration. Discussions related to the general structure of writing articles in reputable international journals and demonstrations to find out the destination journals of reputable publications through Scimago, published by Elsevier, and published by Springer. This workshop activity succeeded in helping students because 80% of the students participating in the workshop could write articles well and choose reputable international journals.
Implementation of signature-based intrusion detection system using SNORT to prevent threats in network servers

Security is an important factor in today's digital era. In a network, implementing a security system is the focus of a network developer. One of the most basic network securities is in the form of access. To manage the security of a system must be known in advance who is involved in the system and what activities are carried out. Just like a security alarm, which monitors work conditions, this is the function of the Intrusion Detection System (IDS). IDS has several effective methods for detecting threats, one of which is the Signature-based method. IDS can be implemented through the open-source SNORT application, and the method works with rules which are commands to IDS to recognize various attacks. IDS rules will be included in the signature matching process, which means matching between rules and incoming attacks and views of both protocols, then the IDS will generate alerts that contain notifications. This study conducted a reading of the MIT-DARPA 1999 dataset on 1,252,412 packages and tested alerting with Network Scanning and DoS attacks. Analyze Package Data runs at a speed of 83,494 packets /second and gets a true positive percentage reaching 100% and an accuracy of 98.10%.
From Freedom of Expression to Freedom of Speech – the Guarantees under the Nigerian Constitution and the Real Challenges

Right to freedom of expression is one of the globally recognized fundamental rights guaranteed and protected in many international human rights conventions, charters and other international and regional treaties and instruments. In Nigeria, the right has always been given recognision and specifically provided for in all the Nigeria’s constitutions, including the colonial and pre-independence. Even under the constitutional arrangements under the military governments, the said right is given recognition. Under the 1999 Constitution of Federal republic of Nigeria, the said right has also been prescribed for as one of the rights guaranteed for all Nigerians and anybody on the Nigerian soil. Nevertheless, it is one thing to recognize a right and it is completely another to practically implement the guarantees provided for. The Nigerian constitution is said to have given the said right with one hand and takes it away with another hand. This article critically analyses the right to freedom of expression under the Nigerian Constitution 1999 to discover whether or not the constitution as is being alleged, is really speaking from two sides of its mouth.
PERANCANGAN VIDEO ANIMASI 2D CERITA PUTRI MANDALIKA SEBAGAI UPAYA PELESTARIAN BUDAYA UNTUK ANAK SEKOLAH DASAR

One of the folklore in Lombok is the story of Putri Mandalika. Princess Mandalika is a princess who threw herself into the sea to avoid division between kingdoms. However, there is a lack of awareness for the younger generation in preserving folklore. For this reason, there are appropriate alternative media to introduce Putri Mandalika's story, one of them is animation video. The method used is a qualitative method. Qualitative data obtained through observation, interviews, and literature study. Animated video of Putri Mandalika story using a paper cut design style with 6 minutes 37 seconds duration.
Digit Recognition Using MNIST Dataset

Abstract: In this paper, we have performed handwritten digit recognition using MNIST datasets using Support Vector Machines (SVM), Multi-Layer Perceptron (MLP) and Convolution Neural Network (CNN) models. Our main goal is to compare the accuracy of the above models along with their execution time to obtain the best possible model for digit recognition. Reliability of humans over machines has never been so high that from classifying objects in photographs to adding sound to silent movies can all be done using deep learning and machine learning algorithms. Similarly, handwriting recognition is one of the important areas research and development with a range of possibilities that could be achieved. Handwriting recognition (HWR), also known as handwritten text recognition (HTR), is a capability computers to receive and interpret comprehensible handwritten input from sources such as paper documents, photos, touch screen
Using sentiment analysis technology to analyze bank customers' textual comments

In light of the rapid progress in the field of information technology and the large volume of digital information, social media platforms and application stores have become rich in reviews, serving as a common source for gathering opinions for a number of fields, especially the field of banking [1].In order for banks to benefit from these opinions, they must Analyze this huge amount of big data.We find many institutions, including banking institutions, nowadays, one of the best modern branches of machine learning is using sentiment analysis technology also known as "opinion mining" mainly to analyze the opinions of their customers by determining whether the opinion expressed in The document or sentence is positive.or negative or neutral [2].The importance of this technology is that it helps organizations and brand owners to reveal the feelings and opinions of the general public towards a particular product or service in a faster, more comprehensive and more credible way than traditional questionnaires, as well as researchers in their research fields [3], where artificial intelligence techniques and machine learning applications have contributed to helping Entrepreneurs.Making informed decisions backed by data, which in turn contributed to improving the decision-making process, thus achieving the maximum possible return on investment [4].This paper aims to conduct a comprehensive survey of all recent studies that use sentiment analysis technology to analyze text bank customer comments in order to discuss the tools used and find out the results.The studies were collected from reliable sources such as Google scholar and others, and they exclude studies in which text bank customer comments are analyzed using different techniques than sentiment analysis.Studies related to the study topic from 2016 to 2022 have been accessed and discussed.
Implementation of the data encryption using caesar cipher and vernam cipher methods based on CrypTool2

Information has become precious and essential for all fields, so it is crucial to carry out information security. The principle of information security is to protect and safeguard information with the aim that the information is not entitled to be read, modified, or deleted by anyone who does not have rights to it. The purpose of our research is to analyze how the caesar cipher and vernam cipher methods are jointly used in the cryptographic process and are expected to produce a high level of data encryption so that it can increase the security of data or messages. The research applies the combination of the caesar cipher and vernam cipher methods to encrypt text data or messages. Using the secret key value will convert the input message into an encrypted message that is difficult to crack and cannot be decrypted again. The input text and the encrypted data have no resemblance to maintain the confidentiality of the information or data contents.
A Simple and Efficient Probabilistic Language model for Code-Mixed Text

The conventional natural language processing approaches are not accustomed to the social media text due to colloquial discourse and non-homogeneous characteristics. Significantly, the language identification in a multilingual document is ascertained to be a preceding subtask in several information extraction applications such as information retrieval, named entity recognition, relation extraction, etc. The problem is often more challenging in code-mixed documents wherein foreign languages words are drawn into base language while framing the text. The word embeddings are powerful language modeling tools for representation of text documents useful in obtaining similarity between words or documents. We present a simple probabilistic approach for building efficient word embedding for code-mixed text and exemplifying it over language identification of Hindi-English short test messages scrapped from Twitter. We examine its efficacy for the classification task using bidirectional LSTMs and SVMs and observe its improved scores over various existing code-mixed embeddings
Analysis of Diphtery Disease Mortality In Indonesia Using Zero Inflated Conway Maxwell Poisson Regression Model

Diphtheria is an upper respiratory tract disease caused by the bacteria Corynebacterium Diphtheriae.Diphtheria is a dangerous infectious disease, because there were 23 deaths from 529 cases in 2019.The data used in this final project research is secondary data taken from the Health Office in 2019.The number of deaths of diphtheria patients is calculated data and the assumption is distributed as a Poisson distribution. .The number of zero data of 73.5 percent indicates an overdispersion of the response variables.One of the conditions of Poisson Regression is that it requires equality between the mean and variance, this model is not appropriate to be applied to the dispersion below and above.The Zero Inflated Conway Maxwel Poisson (ZICMP) regression model can be an alternative because it is flexible for under-and over-dispersion data and can solve the problem of excess zero values in the response variable.In this study, ZICMP was applied to mortality cases in diphtheria patients in Indonesia.This study aims to examine the probability function and develop an algorithm to estimate ZICMP parameters and apply the ZICMP model to mortality cases in diphtheria patients.The Maximum Likelihood Estimation (MLE) method is used to estimate the parameters in ZICMP and the probability function is maximized using the Expectation-Maximization (EM) algorithm.
Analisis Perbedaan Variasi Derajat Keasaman terhadap Tingkat Spesifisitas Metode Kastle-Meyer dalam Pendeteksian Darah

Blood is evidence of a crime that can be damaged by humans and environmental factors. One of the contaminants that have the potential to affect the specificity of the Kastle-Meyer method in detecting blood is the variation in the degree of acidity (pH). Specificity analysis of the Kastle-Meyer method is needed to determine the ability of the Kastle-Meyer method to detect blood in the presence of other components/contaminants that may be present in a sample. The purpose of this study was to analyze the difference in the addition of an acidic solution with a pH of 1.2-8.4 on the specificity of blood detection using the Kastle-Meyer method. The research was conducted in the form of pre-experimental research with a static-group comparison design. The sampling technique used was purposive sampling. Blood samples that have been added to an acid solution with a certain pH (pH 1,2; 2.4; 3.6; 4.8; 6; and 7.2) were then tested using the Kastle-Meyer method. The principle of the Kastle-Meyer method is based on the activity of the peroxidase enzyme present in hemoglobin in the blood. The results showed the specificity of the Kastle-Meyer method on blood samples with acid solution contaminants with a pH of 1.2; 2,4; 3,6; 4.8; 6.0; 7.2; and 8.4 respectively at 70%, 70%, 90%, 60%, 60%, 90%, 80%. The results of data analysis from the Kruskal-Wallis test showed a significance p-value 0.269 &gt; 0.05, so it can be concluded that there is no difference in the specificity of the Kastle-Meyer method in detecting blood in the addition of acid solutions with different acidity degrees.
EVALUATING USER ENGAGEMENT AND READING BEHAVIOR ASPECTS OF WEB VISITORS BY ANALYZING INDICATORS ON GOOGLE ANALYTICS DATA

Nowadays, web-based technology is used as a source of information and marketing, one of which is educational institutions. This development unintentionally changes people's reading patterns, from paper to online media. However, user engagement and reading behavior on a web-based system is often overlooked while developing the plan. Understanding these two pillars can help the improvement process become more effective. Politeknik Caltex Riau has an official website that provides information about campus life and an introduction to study programs for prospective students. The information provided is quite complete and precise, yet there are many repeated questions. One example is the web visitors who are interested and asks about the registration steps, but the info is clearly on the website. Therefore, it is necessary to evaluate the understanding of the demographics, engagement, behavior, and events by implementing Google Analytics on the website. From the results, it is known that the visitors are on target. The majority of readers are high schoolers who are actively looking for university information. Many of them use smartphones to surf the website, though it is recognized that most readers do not read the content thoroughly. It can be seen from the total scroll event, which is only high at the beginning and keep decreasing while scrolling down the page. But the bounce and sessions number ​​keep rising. This phenomenon shows that the reader's engagement with the content is shallow, and reading comprehension is vague. In addition, there is also an indication of the effect of smaller screen size with the web design model as one of the reasons for the high jump rate. Thus, further studies can focus on deepening and evaluating web design and evaluating more indicators provided on Google Analytics.
A Study of Molecular Subtypes of Carcinoma Breast by Immunohistochemistry at Tertiary Care Center, Jaipur

Introduction: Breast cancer is one of the most common malignant tumors and one of the leading causes of cancer related death amongst females worldwide. The clinical significance of molecular classification of carcinoma breast remains to be established. Molecular subtyping using immunohistochemistry can provide additional prognostic and predictive information. Aim and objectives: To identify morphological variants of carcinoma breast and to determine various proportions of molecular subtypes of carcinoma breast by immunohistochemistry. Materials and Methods: A descriptive type of observational study was done at SMS Medical College, Jaipur. 65 Modified Radical Mastectomy specimens received in the department were included in the study. The surgical specimens were then evaluated histopathologically and immunohistochemically for ER, PR, HER2/neu, and Ki67 markers. Results: Out of 65 breast carcinoma cases the most common histological type encountered in our study was Invasive ductal carcinoma of no special type (NST) (83.09%) followed by medullary carcinoma (4.63%) and invasive lobular carcinoma (3.09%) and a single case each of tubular, cribriform, metaplastic, lymphoepithelioma like carcinoma, carcinoma with apocrine differentiation and oncocytic carcinoma. The cases were further classified into molecular subtypes using protein expression patterns in IHC. The proportion of tumors found were Luminal A (32.31%), Luminal B (18.46%), HER2/neu overexpressed (13.84%), and Triple-negative (35.39%). Conclusion: The most common molecular subtype found in our study was Triple negative. The use of IHC markers in the clinical setting could determine the prognosis and benefit the patients with targeted therapies.&#x0D;
Zero-Knowledge Proof-of-Identity: Sybil-Resistant, Anonymous Authentication on Permissionless Blockchains and Incentive Compatible, Strictly Dominant Cryptocurrencies

Zero-Knowledge Proof-of-Identity from trusted public certificates (e.g., national identity cards and/or ePassports; eSIM) is introduced here to permissionless blockchains in order to remove the inefficiencies of Sybil-resistant mechanisms such as Proof-of-Work (i.e., high energy and environmental costs) and Proof-of-Stake (i.e., capital hoarding and lower transaction volume). The proposed solution effectively limits the number of mining nodes a single individual would be able to run while keeping membership open to everyone, circumventing the impossibility of full decentralization and the blockchain scalability trilemma when instantiated on a blockchain with a consensus protocol based on the cryptographic random selection of nodes. Resistance to collusion is also considered. Solving one of the most pressing problems in blockchains, a zk-PoI cryptocurrency is proved to have the following advantageous properties: - an incentive-compatible protocol for the issuing of cryptocurrency rewards based on a unique Nash equilibrium - strict domination of mining over all other PoW/PoS cryptocurrencies, thus the zk-PoI cryptocurrency becoming the preferred choice by miners is proved to be a Nash equilibrium and the Evolutionarily Stable Strategy - PoW/PoS cryptocurrencies are condemned to pay the Price of Crypto-Anarchy, redeemed by the optimal efficiency of zk-PoI as it implements the social optimum - the circulation of a zk-PoI cryptocurrency Pareto dominates other PoW/PoS cryptocurrencies - the network effects arising from the social networks inherent to national identity cards and ePassports dominate PoW/PoS cryptocurrencies - the lower costs of its infrastructure imply the existence of a unique equilibrium where it dominates other forms of payment
A STUDY ON ALTRUISTIC BEHAVIOUR AMONG SECONDARY SCHOOL TEACHERS IN MEDCHAL MALKAJGIRI DISTRICT

Teaching is considered as a sacred profession and teacher act as guide in the lives of students without selfishness not only in the process of education development but also in their public life. Teachers’ dedication towards school, society and towards their profession is highly expected so as to have an effective and efficient generation with Altruistic behavior. With this regard the present study is designed to assess Altruistic Behavior among Secondary School Teachers in Medchal Malkajgiri District. The investigation is adopted by descriptive survey method on the sample of 200 secondary school teachers drawn by using the stratified random sampling technique from the specified population. A researcher developed questionnaire is used as the research tool which consists of 40 statements. The study independent variable is Secondary school teachers and dependent variable is Altruistic behavior. The data collected was analysed by using Frequency count, Percentage, Mean, S.D, t-test &amp; ANOVA. The findings of the study are as follows: the majority of the responses (86.86%) are revealing that secondary school teachers are possessing Altruistic behavior in their professional and personal life in Medchal- Malkajgiri district; the findings revealed that Altruistic behavior among secondary teacher found to be insignificant with variables gender, management, subject teaching and years of teaching experience. KEYWORDS: Altruistic Behaviour, Teaching, Teacher and Students’ development.
A Survey of Current Mobile Learning Technology in India

Mobile learning technology is playing a vital role in today's education due toCOVID-19. The ongoing pandemic has increased its demand and usage everywhere inthe world. It is a technology that enables students to learn, interact, collaborate, andaccess education from any place and at any time by using internet-enabled mobiledevices. These mobile devices include laptops, tablets, and mobile phones for distancelearning. In the current scenario, this distance learning has proved as a boon, especiallyin the education and corporate sector widely. However, M-learning can also be appliedin other fields, such as financial sectors, including banking, and non-financial sectors,including healthcare, industrial sector, etc. Mobile learning acceptance is a requirementthat is still in progress. It has been adopted more in urban schools and higher educationinstitutions in comparison to rural and secondary schools. Our study explores theevolution of M-learning, benefits, challenges, platforms, and various factors that affectmobile learning adoption. We have also discussed the existing models and frameworksfor learning in higher education, university, etc. Hence, in this study, we have focusedboth on the positive and negative outcomes of all the previous studies to eliminate theissues and increase mobile learning adoption in the future. The main highlight of thispaper is that we have presented various online platforms available for individuals,organizations, and enterprises for learning. These tools are as important as consideringvarious other factors that have been discussed in previous findings. Moreover, acomparison table of various factors and conclusions of different researchers is shown.Furthermore, it has been concluded that the adoption of mobile learning technologymust be increased in developing countries.