Reviewerly/exHarmony huggingface dataset:
ARCHAEOLOGICAL EXPERIMENTS OF IRON SMELTING AT SUNGAI BATU ARCHAEOLOGICAL COMPLEXES, BUJANG VALLEY, KEDAH, MALAYSIA

This archaeological experiment study of furnace, tuyere and bellow making to conduct iron smelting experiments is aimed at obtaining information related to the iron smelting process that is likely to have been carried out in Sungai Batu Archaeological Complex. This archaeological experiment study was conducted through a knowledge transfer program (KTP) at the Sungai Batu Complex conducted in 2013 involving 18 participants and two instructors. This experiment involves the use of soil taken in the Sungai Batu river to produce furnaces and tuyere while bellow are made from wood, plywood and cloth. The raw material of iron smelting, namely iron ore, was taken after the survey activities were carried out near Kampung Batu 5, UiTM Merbok and Tupah Hill areas while the charcoal for iron smelting was used by rubber wood in the rubber plantation near the Sungai Batu Archaeological Complexs. The iron smelting experiments conducted have shown the difference in smelting results with the discovery of iron bloom which explains the possible differences in smelting techniques and technology to produce the iron ingots. Although the results of the experiments show differences with the actual results at the iron smelting site but the data can be used in the development of archeotourism at the Sungai Batu Archaeological Complex to provide a overview of iron smelting techniques that may be used in this area in the past.
RELATIONSHIP OF THREE BASIC NEEDS BY MOTHER WITH GROWTH AND DEVELOPMENT OF CHILDREN AGE 3-5 YEARS IN MULYOREJO, SURABAYA

Introduction: Fulfilling the basic needs of children (education, love and care) can influence the growth and development of children in a positive direction. This study was aimed to analyze the relationship between the patterns of education, love, and care given by mothers with the growth and development of children at 3-5 years in the Mulyorejo Sub-District, Surabaya. Method: This study was cross-sectional design with 72 children aged 3-5 years old as sample and selected using simple random sampling. The data were collected from primary sources by interviewing mothers of children about her knowledge and the pattern of education, love, and care, measuring children’s anthropometry and interviewing Pre-Screening Questionnaire Test with children. The data were analyzed using the Spearman correlation test. Result: showed there was no relationship between education pattern (p = 0.122) and love pattern (p = 0.56) with child development. There was a correlation between consumption pattern (as a care pattern) of animal side dish with weight for age (p = 0.041; OR = -0.242), fruit consumption with weight for age (p = 0.010; OR = -0.301), and fruit consumption with weight for height (p = 0.025; OR = -0.264). Conclusion: Although there is no relationship between education and love patterns with child development, in the care pattern, the consumption pattern of animal and fruit side dishes is proven to be related to the growth of children.
Current Issues with Cataloging Printed Music: Challenges Facing Staff and Systems

This paper explores the challenges currently faced by music cataloguers, with particular regard to their training and the systems they work with. It asks whether music catalogers feel they have enough support and training to do their work; it investigates the skills they require, and how they might be taught. It also examines whether systems need to be adapted to suit printed music. The project focuses on staff responsible for cataloging printed music at music libraries in the UK (public, academic, legal deposit and specialist). Here, the term “cataloger” refers to any member of staff who catalogs printed music.
Assessment of GTO: Performance evaluation via constrained benchmark function, and Optimized of Three Bar Truss Design Problem

The aim of this paper is to show that the artificial gorilla troops optimization (GTO) algorithm, as an optimizer, can cope with test functions such as CEC2019, and also to best optimize the three bar truss design problem as a constrained optimization problem. As a method, two statistical measures such as the best values provided by the algorithms and the standard deviation showing the distance between the values were studied. At the same time, the convergence rate of the algorithms compared by the convergence curves were examined. For this purpose, it has been competed against two other swarm-based algorithms, sine-cosine algorithm (SCA) and golden eagle optimization (GEO). The optimization of the three bar truss design problem, which is another side of the study, has been made. The GTO algorithm reached the best values in the optimization of the parameters of the problem. In addition to the convergence curve, statistical results have examined, and the advantages of GTO are revealed through box-plot figures that evaluate the relationship between median and quartiles and the distribution among all results.
AN EMPIRICAL ANALYSIS OF INSTITUTIONAL QUALITY AND FOREIGN DIRECT INVESTMENT INFLOWS IN NIGERIA

This study investigated the relationship between the measures of institutional quality provided by the World Bank, World Governance Indicators and foreign direct investment inflows in Nigeria. The study used time-series data covering the period between 1996 and 2019. We sourced the data from the World Bank, World Development Indicators and World Governance Indicators databases. The measures of institutional quality used along with other selected control variables include voice and accountability, government effectiveness, rule of law, regulatory quality, control of corruption, political stability and the composite of these six variables. In order to control for endogeneity problem, we employed generalized method of moments (GMM) estimation for this study. The empirical results from GMM show that the composite institutional index, control of corruption, voice and accountability, government effectiveness, rule of law, and regulatory quality has a positive and insignificant effect on foreign direct investment inflows into Nigeria, while political stability has a negative and insignificant effect on foreign direct investment inflows. In light of these findings, this study concluded that the amount of foreign direct investment inflows into Nigeria reflect the poor institutional quality prevalent in Nigeria. This study therefore recommended that the Nigerian government should intensify measures to improve the institutional quality of Nigeria.
THE RОLE АND IMPОRTАNСE ОF SPEСIАLTY SUBJEСTS IN THE DEVELОPMENT ОF СREАTIVE АBILITIES ОF STUDENTS

The аrtiсle disсusses vаriоus аpprоасhes tо determining the quаlities оf сreаtivity. Teсhniсаl higher eduсаtiоnаl institutiоns rоаd engineering the mаin wаys аnd methоds оf develоping the сreаtivity оf students оf the eduсаtiоnаl direсtiоn аre thоrоughly соvered.
Diversity Operators-based Artificial Fish Swarm Algorithm to Solve Flexible Job Shop Scheduling Problem

Artificial fish swarm algorithm (AFSA) is one of the critical swarm intelligent algorithms. In this paper, the authors decide to enhance AFSA via diversity operators (AFSA-DO). The diversity operators will be producing more diverse solutions for AFSA to obtain reasonable resolutions. AFSA-DO has been used to solve flexible job shop scheduling problems (FJSSP). However, the FJSSP is a significant problem in the domain of optimization and operation research. Several research papers dealt with methods of solving this issue, including forms of intelligence of the swarms. In this paper, a set of FJSSP target samples are tested employing the improved algorithm to confirm its effectiveness and evaluate its execution. Finally, this paper concludes that the enhanced algorithm via diversity operators has discrepancies about the initial AFSA, and it also provided both sound quality resolution and intersected rate.
Research on Omnidirectional Stereo Measurement Using Convex Mirrors and Vertical Disparity

We propose an omnidirectional measurement method without blind spots by using a convex mirror, which in principle does not cause chromatic aberration, and by using vertical disparity by installing cameras at the top and bottom of the image. In recent years, there has been significant research in the fields of autonomous cars and robots. In these fields, three-dimensional measurements of the surrounding environment have become indispensable. Depth sensing with cameras is one of the most important sensors for recognizing the surrounding environment. Previous studies have attempted to measure a wide range of areas using fisheye and full spherical panoramic cameras. However, these approaches have limitations such as blind spots and the need for multiple cameras to measure all directions. Therefore, this paper describes a stereo camera system that uses a device capable of taking an omnidirectional image with a single shot, enabling omnidirectional measurement with only two cameras. This achievement was challenging to attain with conventional stereo cameras. The results of experiments confirmed an improvement in accuracy of up to 37.4% compared to previous studies. In addition, the system succeeded in generating depth image that can recognize distances in all directions in a single frame, demonstrating the possibility of omnidirectional measurement with two cameras.
HİPERKAOTİK HARİTA VE GENETİK OPERATÖRLERE DAYALI YENİ BİR GÖRÜNTÜ ŞİFRELEME YÖNTEMİ

This paper presents a novel and secure image encryption method. The plain image’s pixels are confused using the N-point crossover operation of genetic algorithms. Randomly paired rows and columns are determined by the two state variables of a six-dimensional hyperchaotic map. The number of crossover points, which are calculated by the two other state variables of the hyperchaotic map, differ from each other for each row or column pair. The crossover positions are specified according to the number of crossover points with the help of the last two state variables. The proposed algorithm generates the diffusion stage’s encryption key using the SHA-256 hash value of the plain image. Mutation and crossover operators are implemented using the 16-bit subblocks of the 256-bit hash value. The scrambled image’s pixels are altered with the generated encryption key and previously encrypted pixels. Keyspace and sensitivity, histogram, correlation, information entropy, differential, data loss, noise attack, and computational time analyzes are performed to test the safety and effectiveness of the encryption method. The experiments and simulation results show that the proposed encryption technique is highly secure and efficient since it can resist various attacks.
Reward system and job satisfaction among employees in the hotel industry in the Sultanate of Oman

Purpose- The study's aim is to determine the intrinsic rewards that Omani hotels use to inspire their employees and to analyse the extrinsic rewards that Omani hotels use to motivate their employees. The study also intends to investigate the association between incentive types and job satisfaction among hotel employees in Oman. Methodology- The study employed a descriptive research design. The study's population was comprised of employees from five different four-star hotels in Oman. A systematic questionnaire was created and distributed to all participants. Rewards (both intrinsic and extrinsic) served as the study's independent variable, and job satisfaction served as the study's dependent variable. The data was gathered on a five-point scale and interpreted using averages, percentages, and correction analyses. Findings- The study noticed that the intrinsic rewards employed by hotels in Oman included recognition and appreciation, an excellent working partnership with the manager, management trust and belief, training and professional development, and work freedom and autonomy. On the other hand, extrinsic rewards are used by hotels in Oman, such as praise and appreciation for a job well done, excellent working environments, attractive salaries, annual bonuses, and insurance for me and my family. Spearman's coefficient of 0.885 indicated a positive and significant relationship between intrinsic rewards and work satisfaction among Oman hotel employees. Similarly, a Spearman's coefficient of 0.899 demonstrated a very strong positive and significant association between extrinsic rewards and work satisfaction among Oman hotel employees. Conclusion- The findings suggest that the level of employee job satisfaction in the organisation is reliant on rewards. Keywords: Extrinsic rewards, intrinsic rewards, hotel employees, job satisfaction. JEL Codes: M12, M52, N35
PENGARUH KEBIASAAN BELAJAR DAN MINAT BELAJAR TERHADAP PRESTASI SISWA MTs. ALMAARIF 01 SINGOSARI

The aims of this study were to: 1) determine the effect of study habits on student achievement; 2) knowing the effect of interest in learning on student achievement; and 3) determine the effect of study habits and interest in learning on student achievement. This study uses a quantitative approach with a correlational type. The population in this study were class VIII students, totaling 358 students with a total sample of 189 students. The technique of collecting data on study habits and interest in learning is in the form of distributing questionnaires, while learning achievement is obtained through documentation of even semester PTS scores. The data analysis technique used included multiple linear regression analysis, T test, and F test. The results showed that 1) there was no effect between study habits on student achievement (p=0.610 &gt; α=0.05); 2) there is an influence between learning interest on student achievement (p=0.003 &lt; α=0.05); and 3) there is an influence between students' learning habits and students' learning interest on student achievement (p=0.003 &gt; α=0.05).&#x0D; Abstrak&#x0D; Tujuan dari penelitian ini adalah untuk: 1) mengetahui pengaruh kebiasaan belajar terhadap prestasi belajar siswa; 2) mengetahui pengaruh minat belajar terhadap prestasi belajar siswa; dan 3) mengetahui pengaruh kebiasaan belajar dan minat belajar terhadap prestasi belajar siswa. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis korelasional. Populasi dalam penelitian ini adalah siswa kelas VIII yang berjumlah 358 siswa dengan jumlah sampel 189 siswa. Teknik pengumpulan data kebiasaan belajar dan minat belajar berupa penyebaran angket, sedangkan prestasi belajar diperoleh melalui dokumentasi nilai PTS semester genap. Teknik analisis data yang digunakan meliputi analisis regresi linear berganda, Uji T, dan Uji F. Hasil penelitian menunjukkan bahwa 1) tidak terdapat pengaruh antara kebiasaan belajar terhadap prestasi belajar siswa (p=0,610 &gt; α=0,05); 2) terdapat pengaruh antara minat belajar terhadap prestasi belajar siswa (p=0,003 &lt; α=0,05); dan 3) terdapat pengaruh antara kebiasaan belajar siswa dan minat belajar siswa terhadap prestasi belajar siswa (p=0,003 &gt; α=0,05).
Mae Mai Muay Thai Style Classification in Movement Appling Long-Term Recurrent Convolution Networks

The research community has become more interested in human activity recognition due to improvements in technology and machine learning algorithms.In particular, when we discuss the automated assessment of athletic talents, which has been the most active study topic over the last decade.The highly competitive nature of sports necessitates collecting accurate data on an athlete's performance to evaluate their activities while competing accurately.In this article, we present a method for identifying seven typical styles of Mae Mai Muay Thai (MMMT) using continuously collected boxing sequences as the data source.Long-term Recurrent Convolution Networks (LRCNs) is used to handle MMMT recognition.Additionally, we combined Long Short Term Memory (LSTM) and Convolutional Neural Networks (CNNs) classifiers for experimental testing.According to experimental testing, our training strategy outperformed the use of both CNNs and LSTM classifiers.Experiments were conducted utilizing the MMMT dataset with four professional boxers as participants.The LRCNs classifiers were able to achieve a 99 percent accuracy rate that proves the LRCNs algorithm is appropriate for assessing the boxer's abilities while competing.Furthermore, we will determine the overall usefulness of the model by using a confusion matrix in our analysis.Additional performance metrics included in the investigation were accuracy, precision, recall, and the F1-score.
Remote Viewing: a 1974-2022 systematic review and meta-analysis

This is the first meta-analysis of all studies related to remote-viewing tasks conducted up to December 2022. After applying our inclusion criteria, we selected 36 studies with a total of 40 effect sizes.Both frequentist and Bayesian meta-analyses revealed a strong average effect size of .34; 95% confidence interval: .22 -.45, after the exclusion of outliers, without signs of publication bias and a minimal decline effect. In the raw scores, these average results correspond to a difference in hits score of 19.3%; 95% confidence intervals:13.6%–25%, above the expected chance.Among the meta-analyses of moderators, a small nonstatistical difference emerged between the precognitive and clairvoyance tasks, particularly for those with an outbound agent. A comparison among meta-analyses results observed with other experimental protocols testing extrasensory perception showed the clear superiority of remote viewing. After more than 50 years of investigation into extrasensory perception, remote-viewing experimental protocols appear to be the most efficient for both experimental and practical applications.
Workshop for Preparation of Lecturers' Research Roadmap in Faculty of Teacher Training and Education, Tanjungpura University

Roadmap itself is a road map and is devoted to mapping the journey of research. So that the research is more structured, can continue to grow, and produce something useful and easy to apply within a period of 5 to 20 years or even more. The research roadmap will help lecturers determine the research direction and then adjust it to the institution's priorities or higher education where they teach. The urgency of preparing the research roadmap above as well as the research roadmap document data for lecturers and undergraduate and masters level study programs within the FKIP Tanjungpura University who need to get refreshments. The Faculty Quality Assurance Unit team held a "Workshop on Preparation of Lecturer Research Roadmaps and Study Programs in the FKIP Environment" at Tanjungpura University in 2022". In this activity, the service team first compiled a roadmap format or research roadmap for the study program lecturers. Then during the implementation of the activity, the service team directed the study program within the FKIP University of Tanjungpura to compile a roadmap or research roadmap for the study program lecturers.
SISTEM INFORMASI KETERSEDIAAN DAN PERKEMBANGAN HARGA BAHAN POKOK SECARA REAL TIME BERBASIS WEB

The Office of Industry, Trade, Cooperatives, Small and Medium Enterprises of Pidie Regency has not yet used a media website that can provide information on the availability and price developments of basic commodities. Data on the development of prices for basic goods is very important for the agency overseeing the trade sector. This is also very useful for identifying the causes of price fluctuations or fluctuations in an effort to maintain the stability of price developments. So we need a system that records information on the availability and price developments of staple goods in real time, the design of this system uses the PHP programming language and MySQL Server Database which allows it to be accessed anywhere and anytime. The benefit to be gained from this system is that it makes it easier for the Office of Industry, Trade, Cooperatives, Small and Medium Enterprises of the Pidie Regency to convey information on prices of basic goods to the public quickly and accurately
Analysis of the Availability of Mosque Sanitation Facilities in the Tsunami Green Area as an Alternative Place for The Final Evacuation of the Tsunami Disaster in Padang City

The city of Padang as one of the areas in West Sumatra which is in a coastal area is very prone to tectonic earthquakes with the potential for tsunamis, it is verynecessary to have high preparedness to deal with it. One of the things that must be prepared is the evacuation site the end, which is a temporary residence for disaster victims. One alternative that can be used as a final evacuation site is a mosque. This study aims to prepare mosque sanitation facilities in the tsunami green area. The measurement of the preparedness of mosque sanitation facilities is seen from observations, in the form of a checklist table that will be filled out by researchers in 29 mosques that are the object of study. With a descriptive type of research, to see an overview of the condition of mosque sanitation facilities. Based on the results of research and discussion, it can be concluded that from the 29 mosques studied, all mosques were obtained in the category of sanitation, construction, toilets and latrines, lighting and ventilation conditions of mosques in the city of Padang. While 17 mosques (58.6%) are located close to Jalan Raya, there are 25 mosques (86.2%) with courtyards in good condition, there are 28 mosques (96.6%) with good waste management, 13 mosques (44.8%) using water sources from PDAM and there are 28 mosques (96.6%) that have wastewater disposal in good condition. This can be used as an evacuation site, so the main thing that must be done is the maintenance of the sanitary condition of the mosque so that it is maintained and can become a proper evacuation site.
Sentiment Analysis of Covid-19 Handling in Indonesia Based on Lexicon Weighting

Covid-19, a contagious disease, has been classified as a global pandemic. Indonesia, as one of the ASEAN countries, has taken various measures to combat the spread of this disease. One of the government's initiatives to tackle the pandemic is the PeduliLindungi application, through which the public provides feedback on government policies. However, analyzing and comprehending public opinions in a non-subjective manner poses a challenge in objectively evaluating government services. This study aims to address this issue by conducting a sentiment analysis of Covid-19 handling in Indonesia, using a lexicon-based weighting system that includes SentiStrengthID and InSet. The decision tree (DT) machine learning algorithm is utilized to evaluate the polarity results provided by the lexicon. The results indicate that the sentiment polarity towards Covid-19 handling in Indonesia is negative based on both SentiStrengthID and InSet weights. Evaluating machine learning performance with the SentiStrengthID lexicon, the DT-entropy and DT-gini models achieved an accuracy of 82% and 83%, respectively. Similarly, evaluating machine learning performance with the InSet lexicon, the DT-entropy and DT-gini models achieved an accuracy of 81% and 82%, respectively.