Reviewerly/exHarmony huggingface dataset:
Strategi Komunikasi Dinas Perpustakaan Kabupaten Polewali Mandar dalam meningkatkan Minat Baca Pemustaka

The purpose of this study was to determine the communication strategy used by the Polewali Mandar Regional Library and Archives Service in increasing reading interest, especially in the Polewali Mandar area. The method in this study is a qualitative research method, the researchers conducted in-depth interviews with informants, namely the librarian of the Polewali Mandar Regency Library and Archives Service. The results showed that the communication strategy carried out was aimed at the community and school students. The message conveyed is the activities held in order to increase interest in reading the program targets. The impact is very good because the enthusiasm of the community and school students is very high in welcoming activities in the form of storytelling competitions and speaking competitions at the central level, in collaboration with literacy groups in Balanipa and mobile library activities. the implications of this communication strategy are very clear changes in the increase in reading interest, in 2018 elementary school students, namely 41% boys, 45% female elementary school students then in 2019 there was an increase in reading interest in elementary school students, namely male students increased 44% and female students to 46%, there is real progress from the communication strategy that has been implemented to increase interest in reading.Keywords: Communication Strategy, Interest in Reading, Library. Regional Library and Archives Service
Management of the Librarian in Improving the Student’s Reading Interest in SMAN 1 Sungai Tarab

The article that the researcher created serves to describe how the role of the librarian in increasing student interest in reading at SMAN 1 Sungai Tarab. In the new normal period, the management of the librarian has an important role in increasing student interest in reading at SMAN 1 Sungai Tarab. In an effort to increase student interest in reading, the head of librarianship needs to form an effective and optimal strategy. This study aims to examine the strategy of the librarian in increasing student interest in reading at SMAN 1 Sungai Tarab. The method used in this research is a qualitative approach with the type of phenomenology. In this study, in collecting the data needed to achieve the objectives of this study, the researchers used observation, interviews with the librarian of SMAN 1 Sungai Tarab, and also documentation. The results of the research that the researchers conducted showed that there were 2 special strategies for the head of the library at SMAN 1 Sungai Tarab in the process of increasing students' reading interest. The strategy chosen by the head of the library in this case is to form a young librarian, the library trolley (TROPUS). Recommendations and suggestions from this research are that the head of the Received: 11-01-2022; Revised: 15-02-2022; Accepted: 19-06-2022 58 AL-FIKRAH,Volume X Nomor 1, Juni 2022 library can cooperate with all staff and students in developing a new implementation-oriented strategy using TROPUS for all implementers in order to be able to increase students' reading interest with the new adequate facilities.
Characteristics and Enlightenment of Australian Civil Vocational Education Curriculum System

With the development of economic globalization and the implementation of "One Belt, One Road", Sino-foreign cooperative education has developed rapidly.However, the relevant work of Sino-foreign cooperative education cannot keep up with the development of its scale, which leads to the low quality of running schools and becomes a bottleneck for the development of Sino-foreign cooperative education.The design of courses is the difficulty of Sino-foreign cooperation in running schools, and it is also the core of the quality of running schools.Taking the opportunity to participate in the special training of vocational education mode in TAFE NSW College in Australia, the authors studied the characteristics of the vocational qualification certificate and courses of TAFE NSW College, and proposed some suggestions for the course design of Sino-foreign cooperative education.
Management Of Educational Facilites and Infrastructure at SDN 10 KUNPAR

: Based on the phenomena that are around us, especially at SDN 10 Kunpar which incidentally is located in an area that is indeed far from the center of the crowd and public facilities that make it possible for the school to be better than other schools so that it can be an inspiration or pilot and become a dream school for the local community. Meanwhile, the SungaiTenang community has always longed for schools in the area to be able to make schools that are indeed their targets for educating students, to be calmer, more enthusiastic and do not need to look for other schools. Meanwhile, if seen from the reality so far, the school has not met the requirements desired by the community. With the fact that there is so that the principal thinks how to improve the facilities and Infrastructure that doesn't exist yet and is, of course, a common homework, it will not be able to be done by the principal or the teacher who is there alone, including how to manage the facilities and infrastructure after all that materialized
Use of Multivariate Statistical Analysis of Hydrochemical Data for the Identification of the Geochemical Processes in the Tirana-Fushe Kuqe Alluvial Aquifer, North-Western Albania

During the research, 71 groundwater samples were collected over a 300 km 2 area of Tirana-Fushe Kuqe alluvial aquifer extension (central-western Albania) and subsequently analyzed for 11 parameters (pH, K + , Na + , Ca 2+ , Mg 2+ , HCO 3 -, Cl -, SO 4 2-, NO 3 -, TH and TDS).Both geochemical conventional (Piper and Chadha diagrams) methods of groundwater classification and multivariate statistical (principal components analysis -PCA and hierarchical cluster analysis -HCA) methods were applied to the dataset to evidence the geochemical processes controlling groundwater geochemistry evaluation through the aquifer.The conventional geochemical methods revealed four (G1-G4) hydrochemical groups where the dominant group is G2 the samples of which are from unconfined to semiconfined recharge zone and the majority of them have Ca-Mg-HCO 3 groundwater.Group G3 includes the samples from the confined coastal aquifer having Na-Cl groundwater.Group G1 includes three groundwater samples of Ca-Mg-SO 4 from the central part of the aquifer, while group G4, the samples of which are spatially located between G3 and G2 zones, has Na-HCO 3 groundwater.The first four components of the PCA account for 85.35% of the total variance.Component PC1 is characterized by very high positive loadings of TH, Ca 2+ , and Mg 2+ , suggesting the importance of dissolution processes in the aquifer recharge zone.Component PC2 is characterized by very high positive loadings in Na + , K + , and Cl -and moderate to high loadings of TDS, revealing the involvement of seawater intrusion and diffusion from clay layers.On the basis of their variable loadings, the first two components are defined as the "hardness" and "salinity", respectively.The HCA produced four geochemically distinct clusters, C1-C4.The samples of cluster C1 are from the coastal confined aquifer and their groundwater belongs to the Na-Cl type.The samples from cluster C2 are located in the south and east recharge areas and most of them have Ca-Mg-HCO 3 groundwater, while the samples from cluster C3, which are located in the northeastern recharge zone, have Mg-Ca-HCO 3 groundwater.Finally, cluster C4 includes two groundwater subgroups having Na-Cl-HCO 3 and Na-Mg-Cl-HCO 3 groundwater in the vicinity of cluster C1 as well as Na-HCO 3 -Cl and Na-Mg-HCO 3 -Cl groundwater next to cluster C2 and C3.
Can you recommend content to creatives instead of final consumers? A RecSys based on user's preferred visual styles

Providing meaningful recommendations in a content marketplace is challenging due to the fact that users are not the final content consumers. Instead, most users are creatives whose interests, linked to the projects they work on, change rapidly and abruptly. To address the challenging task of recommending images to content creators, we design a RecSys that learns visual styles preferences transversal to the semantics of the projects users work on. We analyze the challenges of the task compared to content-based recommendations driven by semantics, propose an evaluation setup, and explain its applications in a global image marketplace. This technical report is an extension of the paper "Learning Users' Preferred Visual Styles in an Image Marketplace", presented at ACM RecSys '22.
Blockchain and AI for Data Security in Distributed Systems

Abstract: Patients with hepatitis, influenza, cancer, and other deadly diseases are treated in hospitals in developing countries. In the event that a particular disease is encountered, staff can either refer the patient to an expert in that area or, in the absence of a diagnosis, may recommend the patient to the general physician. It is common for the general doctor to identify and eliminate an improbable disease by going through trial and error. A patient goes through this very painful ordeal as the doctors take one disease medication at a time to determine the cause of the symptoms. By using a Data Vendor, developed countries have largely addressed this problem. In this paper, we review all past work related to the provision of data security in networks, particularly those with data brokers. By introducing block chains and artificial intelligence, we can accomplish this best. An analysis of past data integrity methodologies in networks is presented in this article alongside an evaluation of a newer approach.
A Survey of Data Science Approaches in Physics

Abstract— Now a days data is growing rapidly and Data science has become central attraction for many scientist in latest discoveries . This paper presents a review of various data science approaches which can be used in physics. This paper will elaborate how data science ( Specially Machine Learning ) helped Physics discoveries in past and how data science can help physics in future. Keywords— Survey, Machine Learning, Neural Network, Higgs Boson, Astrophysics
THE EFFECTS OF ONLINE GAMES ON ADOLESCENTS IN PURWOREJO VILLAGE SRAGI DISTRICT PEKALONGAN REGENCY

Following the times, the game world continues to grow very quickly, one of which is online games. Online games are very popular among teenagers, of which there are various types of games, ranging from strategy games to adventure games, thus creating an attraction for everyone who plays these online games. This study aims to identify the behavior and behavior of adolescents who are involved in online gaming activities. Identification of various public responses to adolescents who play online games. Place The research was conducted in the small village of Purworejo Village, Sragi sub-district, Pekalongan Regency. The research method used is a qualitative method with a phenomenological approach. Qualitative methods provide a more in-depth picture of social phenomena in several aspects of social life. The selection of informants was done through snowball sampling, where the researcher asked someone to recommend several friends or acquaintances as informants based on the desired criteria. The object of the research is gamers 10-14 years old online (referring to elementary and middle school students). The purpose of this study was to determine the impact of online games on adolescents and to map the constraints of parents in controlling adolescents. The study found that 8 out of 10 teens make time to come home from school by playing online games. Teenagers often become rude when it comes to playing online games.
Bone Conduction Hearing Aid

Abstract: The GSM based Soundbite hearing system allows people with hearing disability to hear the sounds via bone conduction to wear an intraoral device and a small microphone in the deaf ear to regain lost hearing. This device consists of GSM modem, PIC16F877A controller and audio amplifier unit. GSM modem will receive incoming calls and automatically answer the call via AT Commands. Then incoming voice signal is converted into low frequency vibration signal that fed through the teeth to cochlea. Unlike implantable bone conduction hearing aids, Sound Bite requires no surgery. Rather, it is the world’s first removable and non-surgical hearing solution to use the well-established principle of bone conduction to imperceptibly transmit sound via the teeth. Custom made for each person, Sound Bite is simple, removable, and totally non-invasive. This paper introduces a novel hearing aid named artificial ultrasonic bone conduction hearing device, which is different from the traditional hearing aid in two sides: 1) sound conduction manner, 2) human perceptive principles. We focus on discussing the structure of the hearing aid and the research of frequency transposition algorithm. In addition, we design algorithm experimental platform and some sample electromechanical transducers.
Unique ID Based Voting System

Abstract: Elections are an extremely important part of the growth process in every country. Elections provide people with the opportunity to choose the leader they feel best represents their values, which in turn contributes to the growth of individuals. However, those who aspire to be leaders but are overly ambitious sometimes make poor decisions that hinder their progress. The use of manual elections has been shown to increase the likelihood of electoral fraud. Therefore, in order to avoid this, an electronic voting mechanism has been implemented. Electronic voting, more commonly referred to as "E-voting," has been implemented with a variety of various technologies over the years. For the voting system in our project, we made use of a one-ofa-kind ID. Arduino is being utilized right here in this project of ours. Only voters who have already been verified can cast their ballots using our electronic voting system. In addition to that, our system features a GSM Module as well as a servo motor. In addition to that, it has three buttons that are push able. The applicants will be required to send a text message (SMS) to the GSM module, and the GSM module will then send an OTP to the mobile phone that you registered with it. If the one-time password (OTP) is entered correctly, the candidate will be given the opportunity to vote. Voting may then take place in a safe environment.
The Methods of Measuring the Quality of Accounting Information: A Comparative Study

This study aims to examine some of the different methods used in measuring the quality of accounting information, where these methods use different approaches and classified according to these approaches. Each approach consists of different methods, and each method gives different result to the quality of accounting information in order to find the most suitable method to measure the accounting information in the Iraqi environment. By using a time series from 2005 to 2016 for 7 industrial companies listed in the Iraqi stock market. The study found that both of Francis et al. (2004) model and Kormendi and Lipe (1997) model are suitable for the Iraqi environment.
Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance

Of late, in order to have better acceptability among various domain, researchers have argued that machine intelligence algorithms must be able to provide explanations that humans can understand causally. This aspect, also known as causability, achieves a specific level of human-level explainability. A specific class of algorithms known as counterfactuals may be able to provide causability. In statistics, causality has been studied and applied for many years, but not in great detail in artificial intelligence (AI). In a first-of-its-kind study, we employed the principles of causal inference to provide explainability for solving the analytical customer relationship management (ACRM) problems. In the context of banking and insurance, current research on interpretability tries to address causality-related questions like why did this model make such decisions, and was the model's choice influenced by a particular factor? We propose a solution in the form of an intervention, wherein the effect of changing the distribution of features of ACRM datasets is studied on the target feature. Subsequently, a set of counterfactuals is also obtained that may be furnished to any customer who demands an explanation of the decision taken by the bank/insurance company. Except for the credit card churn prediction dataset, good quality counterfactuals were generated for the loan default, insurance fraud detection, and credit card fraud detection datasets, where changes in no more than three features are observed.
Account analysis of tiktok @mangzisf in effect of student fashion deparment of KPI for the 2021 UIN Abdurrahman Wahid

Fashion has become one of the most important modes of fashion for today's society. Especially for the millennial generation who make fashion a reference or lifestyle for the community. The existence of fashion is influenced by several things, including influences from outside cultures, and fashion styles from influencers also affect. fashion is growing rapidly, especially in the 2000s era until now, fashion is experiencing changes that are increasing advanced from year to year. The fashion used by public figures or influencers is very influential on fashion trends today, whatever the influencer uses feels like it will be used by the community. This study targets the fashion style of KPI student batch 2021. They wear stylish fashion that closely follows the times, which nowadays is better known as OOTD (outfit of the day). The purpose of this study was to find out how much influence the @mangzilasf TikTok account had on KPI student outfits. Because it is often seen that KPI students are very well-dressed, problems arise that will result in research for the future. this study used qualitative methods with continuous interviews to produce saturated interview results. Besides that, it also uses sampling and documentation techniques to strengthen the results of the research that has been carried out.
Causal Entropy Optimization

We study the problem of globally optimizing the causal effect on a target variable of an unknown causal graph in which interventions can be performed. This problem arises in many areas of science including biology, operations research and healthcare. We propose Causal Entropy Optimization (CEO), a framework that generalizes Causal Bayesian Optimization (CBO) to account for all sources of uncertainty, including the one arising from the causal graph structure. CEO incorporates the causal structure uncertainty both in the surrogate models for the causal effects and in the mechanism used to select interventions via an information-theoretic acquisition function. The resulting algorithm automatically trades-off structure learning and causal effect optimization, while naturally accounting for observation noise. For various synthetic and real-world structural causal models, CEO achieves faster convergence to the global optimum compared with CBO while also learning the graph. Furthermore, our joint approach to structure learning and causal optimization improves upon sequential, structure-learning-first approaches.
Home Run: Finding Your Way Home by Imagining Trajectories

When studying unconstrained behaviour and allowing mice to leave their cage to navigate a complex labyrinth, the mice exhibit foraging behaviour in the labyrinth searching for rewards, returning to their home cage now and then, e.g. to drink. Surprisingly, when executing such a ``home run'', the mice do not follow the exact reverse path, in fact, the entry path and home path have very little overlap. Recent work proposed a hierarchical active inference model for navigation, where the low level model makes inferences about hidden states and poses that explain sensory inputs, whereas the high level model makes inferences about moving between locations, effectively building a map of the environment. However, using this ``map'' for planning, only allows the agent to find trajectories that it previously explored, far from the observed mice's behaviour. In this paper, we explore ways of incorporating before-unvisited paths in the planning algorithm, by using the low level generative model to imagine potential, yet undiscovered paths. We demonstrate a proof of concept in a grid-world environment, showing how an agent can accurately predict a new, shorter path in the map leading to its starting point, using a generative model learnt from pixel-based observations.
Perceived Appraisal Fairness Effect on Performance Appraisal Effectiveness and Appraisal satisfaction in Higher Education

Purpose: The reactions of ratee to appraisal practices and their perceptions of appraisal system fairness may be a good indicator of appraisal system success. This research investigates employees' perception of performance appraisal (PA) aspects connected with organizational justice on Performance Appraisal effectiveness and employee satisfaction with the evaluation process in higher education.&#x0D; Design/Methodology/Approach: The partial least square structural equation modeling (PLS-SEM) was employed to check the hypothesized results. Overall, 497 respondents filled the questionnaire with their views on appraisal fairness, effectiveness, and satisfaction with appraisal practices.&#x0D; Findings: The findings show a positive relationship between organizational justice dimensions (socially determined justice and structurally determined justice) with effectiveness and satisfaction with the appraisal system. However, satisfaction with performance appraisal effectiveness and socially determined justice do not have a statistically significant relationship. Furthermore, there is a significant mediation relationship between the appraisal system's effectiveness, employee satisfaction with performance appraisal, socially determined justice, and structurally determining justice.&#x0D; Implications/Originality/Value: The study presents some useful suggestions to managers working as appraisers on increasing the performance appraisal system effectiveness and making it acceptable for the employees with their satisfaction.