Reviewerly/exHarmony huggingface dataset:
A Study on Customer Perception Towards Digital Banking and Cyber Security: With Special Focus on Select Cities in India

In the era of globalization digital banking or online banking has revolutionized an integral activity of our modern twenty first century. The man developed various ways for communication to the exchange of information, ideas and knowledge which is of great importance to him as a social being. The evolution of e-banking technology makes the task very easy, banking transactions becomes very fast within a click. Digital banking make daily banking fast and convenient. The misuse of information technology in the cyber space is clutching up which gave birth to cyber crimes at the national and international level. The percentage of risks and the challenges associated with it is increased. The two basic laws governing real-time electronic surveillance in other criminal investigations also apply in this context, search warrants which means that search warrants may be obtained to gain access to the premises where the cracker is believed to have evidence of the crime. Such evidence would include the computer used to commit the crime, as well as the software used to gain unauthorized access and other evidence of the crime. The main objective of the study is to analyse about the cyber space and the customers’ perception about cyber crime. For this purpose a sample of 247 was collected from the respondents and percentage analysis and chi-square were used as tools to analyse the data.
Zebra Reduction: Better Generalization Through Distraction

The inverse base-rate effect (IBRE) is an irrational phenomenon in predictive learning. It occurs when people try to generalize what they have experienced to novel and ambiguous events. This irrational generalization manifests as a preference for rare, unlikely outcomes in the face of ambiguity. A formal mathematical model of this irrational preference leads to a counter-intuitive prediction: the effect disappears under concurrent load. We tested this prediction across two experiments (𝑁1 = 72, 𝑀𝑎𝑔𝑒 = 20.12; 𝑁2 = 160, 𝑀𝑎𝑔𝑒 = 20.88). We confirm the prediction, but only when participants were under an obvious time constraint. This empirical confirmation is as surprising as the prediction itself—irrationality reduces under increased task demands.
Analysis of Teacher Limitations in Using Thematic Learning Media at SD Negeri 101771 Tembung

Education is considered as one way to improve the quality, dignity and human dignity. Efforts to improve the quality of education are carried out so that national education goals can be achieved. The national education system can be realized, so there needs to be good cooperation from all learning components that are interconnected so that they are suitable for their purposes where the learning components consist of: curriculum, teachers, students, methods, media, and evaluation. The purpose of this study was to find out the causes of teacher limitations in using thematic learning media at SD Negeri 101771 Tembung. This research was conducted at SD Negeri 101771 Tembung. This research is a qualitative descriptive study which describes the Analysis of Limitations of Teachers in Using Thematic Learning Media at SD Negeri 101771 Tembung. The method used is interviews and questionnaires as a source of primary data and secondary data. From the research carried out, it was found that in the analysis of the use of Thematic learning media at SDN 101771, teachers still have limitations. Education requires teachers (teachers) who are able to create a conducive and more interesting atmosphere. Teachers still think that using learning media really requires time and money. Teachers also feel less interested in using learning media. Under these conditions, the teacher must not only provide the existing media or allow the limitations of the media to remain.
Sustainability in Bank: Deposits, Investment and Interest Rate

The aim of the study is to analyze and substantiate the papers on the variables of this study using a literature review. The research method used is a qualitative literature search of scientific papers from various national and internationally renowned journals. A discussion survey found that each of the three variables was derived from the results of presenting literature reviews from dozens of academic papers using indexes of national and prominent journals, and that deposits and banking It was found that there is an effect between and both. How fluctuations in interest rates and investments in banks affect them. There are also differentiating variables discovered by researchers: business model, ownership, accountability, meeting performance, company performance, market discipline, etc
Morphological Elements of the Betawi Teenagers

This study focuses on the impact of Betawi Language elements on the morphological characteristics of teenagers in Jakarta. Previous research has highlighted that Morphological Interference is the most common form of interference. Similarly, the investigation within Jakarta's coverage area yielded similar results. The study employs a qualitative methodology, utilizing descriptive analysis techniques while incorporating statistical data for reference purposes. The data analyzed in this research consists of sentences in which the Betawi language interferes, specifically regarding affixation, reduplication, composition, and micronization. The findings reveal the presence of morphological interference in the Betawi language concerning morphological variables related to affixation and reduplication. Specifically, the Betawi language demonstrates interference in morphological variables by attaching prefixes, suffixes, and confixes. Additionally, the study indicates the presence of Betawi language interference in speech morphology through reduplication, particularly dwilingga. However, no instances of Betawi language morphological interference were identified concerning composition and micronization in the speech of teenagers in Jakarta
Implementation of Directive Functions in Children's Literature Written by Authors of Children Aged 7-12 Years

A work of fiction made by a child is an extraordinary gift. The child's ability to imagine and put that imagination into a series of stories is an invaluable value of the archipelago's wealth. A work made by children aged 6-12 years became one of the riches of Indonesian literature which eventually developed and was called children's literature. Children's literature is rich in values and messages. Children's literature is also rich in directive functions. This study found that in children's literature there are many directive functions conveyed by the author through his work. The various directive functions contained in children's fiction are representations of real life experienced by characters or writers in their daily routines. The richer the directive function in children's fiction, the richer the message conveyed by the author, implicitly or explicitly
Increasing the Use of Learning Methods in Encouraging Student Literacy Through Combination Methods in Class V of Langawai Elementary School, Palue District, Sikka Regency”

Conduct consultations with leaders or mentors regarding the design of actualization activities, create literacy corners and reading trees with students in class, carry out literacy movement activities 15 minutes before starting learning and guide students to retell reading content that has been read and understood, carry out visit activities to school library, carry out additional hours of study activities for students who are not able to read quickly, carry out evaluations of actualization activities, compile reports on actualization activities, increase the basic skills of prospective civil servants
Assistance to the People of Keliling Benteng Hulu Village who were Affected by Floods in Banjar District

Keliling Benteng Hulu village, is one of several in the West Martapura sub-district, Banjar Regency, which often experiences natural disasters, especially floods, in the middle of March 2023 this area was flooded, actually the area affected by the flood covers the West Martapura sub-district but in this service activity it is carried out to the community in this village area which includes 65 families. many efforts have been made both from the government and concerned parties to overcome this incident. Community service activities this time aim to minimize the adverse effects of this flood disaster. The results of this service are expected to reduce the impact of flood-affected communities in the form of food aid and medicines.
Why is the Rescorla-Wagner model so influential?

The influence of the Rescorla-Wagner model cannot be overestimated, despite that (1) the model does not differ much computationally from its predecessors and competitors, and (2) its shortcomings are well-known in the learning community. Here we discuss the reasons behind its widespread influence in the cognitive and neural sciences, and argue that it is the constant search for general-process theories by learning scholars which eventually produced a model whose application spans many different areas of research to this day. We focus on the theoretical and empirical background of the model, the theoretical connections that it has with later developments across Marr’s levels of analysis, as well as the broad variety of research that it has guided and inspired.
PKL Student Knowledge of Common Abbreviations in Recipes at Mandiri YPPM Pharmacy Academy

Medication error is a medical error that can lead to failure in the treatment process. Medication errors can be caused by various factors. One of the factors that influence medication errors is errors in reading prescriptions. One of the important components contained in a recipe is a common abbreviation. Therefore, it is necessary to conduct research to determine the level of knowledge of PKL students at the YPPM Mandiri Pharmacy Academy on common abbreviations in recipes. This research method is through a descriptive approach using a questionnaire as an instrument. The results of this study indicate that the knowledge of PKL students at the YPPM Mandiri Pharmacy Academy categorized as good because 12 questions achieved a score above 70%. However, it is still necessary to increase knowledge so that the value reaches 100% so as to avoid medication errors in the future
Relative Universe, a special theory of gravitation

Gravitation is the relative density of space-time caused by the mass of an object. There are three aspects of gravitation. First, it is related to an object. Gravitation can cause changes in the velocity of an object. Second, it is related to a photon, gravitation can change the frequency of a photon. Third, it is related to differences in the result of observation. Different observers of the same object can yield different results. Gravitation causes differences in the period of an event, differences in the length of an object, and differences in the mass or energy of an object.
Comparison of Public, Private, Hybrid, and Community Cloud Computing in Terms of Purchasing and Supply Management: A Quantitative Approach

Cloud computing has become increasingly popular in recent years due to its cost-effectiveness, scalability, and flexibility. It offers four different deployment models, including public, private, hybrid, and community cloud computing. In this research paper, the aim is to compare these deployment models in terms of purchasing and supply management. A quantitative study is conducted to evaluate the benefits and challenges associated with each deployment model. Additionally, four different industries were analyzed in order to be understood how cloud computing can be leveraged for purchasing and supply management.
Sistem Aplikasi Layanan Panggilan Montir Berbasis Web untuk Memudahkan Pengendara Menemukan Montir

&#x0D; &#x0D; &#x0D; &#x0D; The number of motorized vehicle riders has drastically increased, leading to a rise in problems such as breakdowns, flat tires, and broken chains while on the road. Especially for riders who are unfamiliar with the surrounding area, it can be challenging to find a nearby mechanic or garage. Therefore, Canic is a web-based application that provides on-demand mechanic services. The application enables riders to easily address vehicle issues by displaying a list of nearby mechanics based on the rider's location. The rider can then select the preferred mechanic and make a booking, with the mechanic coming to the rider's location. The application was designed using Figma, Visual Studio Code, PHP Native, and MySQL as a supporting applications. The application's main features aid riders in finding nearby mechanics and viewing detailed transaction records. Based on a survey of 36 respondents, the application can facilitate riders in finding nearby mechanics from their location. In conclusion, Canic offers a practical solution to address the problem of riders facing vehicle issues while on the road. By providing a user-friendly interface and reliable mechanic services, Canic can help riders avoid further inconvenience and continue their journey with ease.&#x0D; &#x0D; &#x0D; &#x0D;
Face Recognition Based Attendance System

In colleges, universities, organizations, schools, and offices, taking attendance is an important tasks that must be done on a daily basis. The majority of the time, it is done manually, such as by calling by name or by roll number. The goal of this project is to create a Face Recognition-based attendance system that will turn this manual process into an automated one making our task easy. This project meets the requirements for bringing modernization to the way attendance is handled, as well as the criteria for time management. This device is installed in the classroom, where and student's information, such as name, roll number, class, section, and photographs, is trained and is also available for teachers and staff attendance. The images are extracted using Open CV a library of python. Before the start of the corresponding class, the student can approach the machine, which will begin taking pictures and comparing them to the qualified dataset. The image is processed as follows: first, faces are identified using a Haarcascade classifier, then faces are recognized using the LBPH (Local Binary Pattern Histogram) Algorithm, histogram data is checked against an established dataset, and the device automatically labels attendance. An Excel sheet is developed, and it is updated every hour with the information from the respective class instructor.
Comparative Analysis of Decision-Making Efficiency of Large Language Models

Large language models (LLMs) have emerged as powerful tools in the field of artificial intelligence (AI), attracting considerable attention from researchers and practitioners. These models demonstrate remarkable capabilities in various tasks, including decision-making. This paper aims to compare the decision-making efficiency of two prominent LLMs, Bard and GPT, across different domains.To conduct a comprehensive evaluation, a set of carefully designed questions was used to assess the performance of Bard and GPT in specific decision-making contexts. Through quantitative analysis, we aimed to quantify their abilities and identify potential variations in their performance.The results of our study revealed interesting insights into the decision-making efficiency of Bard and GPT across different domains. In the domain of logical reasoning and error detection, both Bard and GPT exhibited similar performance, but GPT outperformed Bard in data analysis by a notable margin. This finding suggests that GPT possesses stronger analytical abilities, enabling it to make more accurate and reliable decisions in contexts that require accurate data analysis and interpretation.The comparative analysis of Bard and GPT's decision-making efficiency highlights the significance of considering the specific domains and tasks when evaluating the performance of LLMs. It underscores the fact that different LLMs may possess domain-specific strengths and weaknesses, which can have a profound impact on their decision-making capabilities.Future research endeavors may involve expanding the evaluation to additional domains and considering a larger sample of questions to enhance the reliability and generalizability of the findings. Moreover, investigating the interpretability and explainability of LLMs in decision-making processes could shed further light on their decision-making strategies and enhance trust and transparency in their applications.This paper contributes to the growing body of research on LLMs by comparing the decision-making efficiency of Bard and GPT across different domains. The findings highlight the relative strengths of each model, emphasizing the importance of domain-specific considerations in decision-making tasks. By leveraging the capabilities of LLMs, practitioners can harness their potential to improve decision-making processes in diverse real-world applications.
Intercultural Communication of Nusantara Module Students at Slamet Riyadi University

This study aims to determine intercultural communication between students of the Nusantara Module Independent Student Exchange (PMM) at Slamet Riyadi University due to cultural differences. This study uses qualitative research using case studies. Data obtained by observation, in-depth interviews, and documentation. The results showed that there was good communication and interaction between PMM students at Slamet Riyadi University. This interaction creates a sense of mutual tolerance and respect for one another in the city of Solo. The main language used is Indonesian, but it is also supported by the languages of each region, which, of course, learn from one another. The differences that exist actually make students more compact and familiar.
A Bayesian Semi-parametric Quantile Regression Approach for Joint Modeling of Longitudinal Ordinal and Continuous Responses

Quantile regression (QR) models are one of the methods for longitudinal data analysis. When responses seemto be skew and asymmetric due to outliers and heavy-tails, QR models may work suitably. This paper developes the semi-parametric quantile regression model for analyzing longitudinal continuous and ordinal mixed responses. The latent variable model and some threshold parameters are used to perform the quantile regression model’s ordinal part. The error of the latent variable model has Asymmetric Laplace (AL) distribution. The error term’s distribution is assumed to be AL distribution to model the continuous responses. The correlations of longitudinal responses belong to the same individual and those of mixed continuous and ordinal responses are considered using a random-effects approach. The regression spline is used to approximate the non-parametric part of the model. The parameter estimation procedure is performed under aBayesian paradigm using the Gibbs sampling method. A simulation study is performed to demonstrate the proposed model’s performance where the relative biases, standard errors, and root of MSEs of estimated parameters are decreased in the semi- parametric QR joint model when the number of subjects is increased. In our application, it was found that the mother’s age and her child’s age have significant effects on reading ability, and antisocial behavior depends on the child’s gender.
Time management of the university staff

At the current stage of development and reform of higher education in the Republic of Moldova, the management system of higher education faces a significant number of serious problems, sometimes very difficult to solve. Many of these problems are not specific to our country. Academic systems in many countries are going through enormous changes induced by a combination of factors: the spread of e-learning, the digitization of databases, the change in the role of the university framework determined, including by the Covid 19 pandemic. Today, in order to be effective, a modern university staff, in addition to fulfilling the didactic task, must be engaged in research activities. In addition, an academic must be an active member of professional associations and maintain permanent contacts with colleagues in the country and abroad. Academic staff can be involved (even recommended) in some activities in the real sector of the economy. Thus, every day we are trained in various activities, we have to perform multiple tasks. It creates the impression that the day is getting shorter and the workload is getting bigger. Is it possible under these conditions to use some techniques, methods of time management? How effective are they for the university setting? Will effective time management influence the teaching staff's performance? There are several questions that we try to answer in this article.
An Expert System for Diagnosing Monkeypox Diseases Using Forward Chaining Method by Mobile

Abstract- Monkey pox is a disease transmitted by an animal virus. The virus is spread through direct contact with animals or from people who have been exposed to the disease. The development of technology in this era is quite rapid and is widely used as a means to improve human performance. The development of technology is currently widely used in the field of artificial intelligence. An expert system is a reasoning system that uses special knowledge to detect diseases. Today's society diagnoses itself a lot without knowing whether or not the disease is true. So this application helps to solve these problems. One of the diseases that uses artificial intelligence technology with the help of expert systems is monkey pox. In this application, the author uses the forward chaining method to form reasoning in the expert system. This method begins with collecting facts to make provisions as predicted. This application is intended to help people overcome confusion due to monkey pox while providing information to the general public about various types of diseases that exist in the community. This expert system is based on the study of literature such as texts, books, and journals. Well, from this application, users can choose the symptoms of the disease experienced by the patient, and the data will be processed to produce a diagnosis of the disease.
Visual Servoing of a 3R Robot by Metaheuristic Algorithms

In planar robot control, the singularity problem is frequently encountered when determining the geometric or kinematic robot model. To overcome this problem, a new method is presented in this paper. Indeed, this method is used to compute the joint positions of 3R robots with high accuracy. The main idea of the proposed method is to use a metaheuristic algorithm for retrieving the coordinates of four reference points in the object image that is captured by a hand-eye camera of the 3R robot. Then, the joint positions are estimated by using a metaheuristic algorithm. The resulting positions are then used for controlling the 3R robot for moving to the desired position. The simulation experiments are conducted by using several metaheuristic algorithms with the same population size (N = 400). The obtained results show the high accuracy of the proposed method in terms of determining the exact positions of the 3R robot joints, which leads to finding the optimal robot trajectory.