Reviewerly/exHarmony huggingface dataset:
Driving carbon zero initiative and green scenes by rooftop SPV

Due to the high cost of electricity, interruptions in the power supplied and frequent use of a fossil-powered generator in the College of Engineering, Afe Babalola University Ado-Ekiti (ABUAD), there is an increase in greenhouse gas emissions and this affects the immediate surroundings as well as the environment at large. There is a need to consider alternative means of economic, reliable and sustainable power supply. This can be achieved by modelling and simulating a solar PV system off the rooftops of the College of Engineering ABUAD. Google Earth Tool and Revit software were used to determine the total roof surface area and the useful roof surface area of the rooftops. HOMER Pro was used to model and simulate the solar PV system. The total roof surface area was 7389.161m2, 5210.34m2 was useful for the installation of 300W solar PV panels. The optimal configuration obtained from the solar PV simulation produced 821,080kWh/year which supplied 100% of the 697,150kWh demanded per year and 12% excess energy. It also reduced the cost of electricity by over 45% from N57.14 to N31.26. Utilization of the rooftop spaces was proven to provide access to a cost-saving, clean and sustainable energy supply.
The Implementation Of Internet Small Computer System Interface (ISCSI) Protocol Based On Linux Centos As External Storage On Windows

This study aims to build a router in a computer network using a proxy, implement an external proxy server on a mikrotik router and implement caching on a local network. In this study, the action research method will be used, where the action research method can provide an overview of the stages of research that the writer needs, because the writer requires an analysis or diagnosis of the system that is currently running. The results of this study indicate that an external proxy server using clearOS linux with the squid application can be applied to a proxy router with a transparent proxy, so that clients to connect to the internet network at PT. Mega Maju Perkasa Bengkulu City must pass a proxy server first. The caching system can store caches of sites accessed by clients, from the tests that have been carried out there are data reports with 50 cache hits and 11% cache stored. In addition, the application of an external proxy server on the proxy router does not reduce the quality of service on network at PT. Mega Maju Perkasa Bengkulu City
Email spam detecting by Bayesian filters

When a file moves between two systems over the web needed safety among two sides. Emails are speed and cheap method to information sharing. But in recent years, Email systems suffer from Spam. Spam is messages, which is send to big number of users without asking them. Several numbers of methods are developed to prevent spam. Filters for prevent spam can have done via some methods such as “Preventive” and “Curing “techniques. In this study using Black List, White List with Bayesian classifier in analysis process. The implementing and the results present the ability of the proposed technique to detect best features with the least value of selected features for spam email classification based on a classifier.
On Modelling Multi-Agent Path Finding as a Classical Planning Problem

Multi-Agent Path Finding (MAPF) deals with the problem of finding collision-free paths for a set of agents, where each agent wants to move from its start location to its goal location on a shared graph. The paper addresses the question of how to model MAPF as a classical planning problem, specifically, how to encode various collision constraints. Several models in the PDDL modeling language are proposed and empirically compared.
An Evaluation of Machine Learning Approaches to Integrate Historical Farm Data

Large datasets in agriculture are increasingly available through yearly surveys.However, very few longitudinal datasets providing insights for farmer's decision are available.The main objective in this research is to match farm establishments.The purposes of this investigation is two fold: first, to match successive yearly surveys, producing longitudinal records into farm history; and second to use only categorical and numerical features to match records.We analyzed Ecuadorian national agricultural surveys from the years 2010 to 2012.In total, 125098 records were compared, using 16 different algorithms.Our results suggest that with this particular data setup, unsupervised methods using a stochastic matching approach outperform other algorithms in terms of F1 scores.Matching individuals over three consecutive years shows that ensemble techniques allowed the re-identification of 60% of individuals.In the context of Ecuador, no data are available to follow individual farms over time, longitudinal datasets could provide essential insights for local policies.
The Post Anthropocentric Turn in Contemporary Art

The article examines the reaction of modern visual art to the paradigm shift in the socio-cultural understanding of man taking place today. Researchers define the new discursive field as posthumanistic. The ambiguity of the concept of posthumanism becomes the reason for referring to the term post-anthropocentrism, which more appropriately describes both the direction of thought of the last decades and the main vector of the development of present-day art. The author puts forward the concept of a post-anthropocentric turn realized in art. The main purpose of the article is to substantiate and describe this turn. Using concrete examples, various art contexts are considered, including: visualizations of the “world-for-us”, “world-in-itself”, “world-without-us”; an appeal to the interspecific community; a statement of the symmetry of human and non-human actors in the work. The research is based on the works of representatives of critical posthumanism and speculative realism. The author concludes that contemporary visual art, conceptualizing and radicalizing the main ideas of post-anthropocentrism, creates many alternative ideas about the situation in which a modern person finds himself. She also notes the transgressive potential of this art.
Implementation of K-Means Algorithm for Diseases Clustering in Elderly Posyandu Participants

The Posyandu of Tirem Village is one of the integrated service posts for the elderly, where they can get proper health services. To get the right health services, Posyandu officers group elderly posyandu participants who suffer from chronic diseases for counseling and treatment. The problems that occur during the data collection and counseling process carried out by Posyandu officers are in the calculations that are still basic and are carried out alternately on the elderly Posyandu participants in Tirem village. So this method has the risk of inaccurate data collection and inconsistent handling for the treatment of elderly residents due to different health histories among the elderly. This study aims to classify the data of elderly posyandu participants in Tirem Village who suffer from chronic diseases with predetermined attributes. This grouping process uses the Clustering method using the K-Means Algorithm. The data used in the form of 40 elderly posyandu participant data in October 2022. The results of data processing using the K-Means algorithm with Microsoft Excel tools and using RapidMiner obtained the same results, namely Cluster 1 and cluster_0 have a total of 32 data from 40 data, Cluster 2 and cluster_1 have a total of 8 data from 40 data.
Waveform Analysis of Signals

This chapter introduces the classification of signals, sampling theorem, commonly used signal functions and the waveform analysis of signals.
Negative Binomial Regression in Underdispersion(Case Study: Neonatal Mortality in Jambi City)

Neonatalis is birth before 28 days of a baby. Factors that are considered to affect neonatal mortality include the number of visits in the 1st and 3 rd trimester, the number of pregnant women receiving Tetanus Diptheria Immunization, the estimated number of neonatal infants with complications, the number of infants receiving Hepatitis B Immunization for less than 24 hours, the number of infants receiving BCG Immunization and number of 1 and 3 neonatal visits. Neonatal mortality is still very rare so that the right analysis is used, namely Negative Binomial Regression. This research aim to investigate negative binomial regression in underdipersion on neonatal mortality at Jambi City. These two regression methods are specifically used for Poisson distributed data because they are rare. The stages of the research that will be carried out are the Poisson distribution test and the equidispersion assumption, parameter estimation, model feasibility test, and selection of the best model. The results obtained that the best model without the variable number of 3rd-trimester visits or without the variable number of infants who received BCG immunization with AIC was 36.3.
Implementasi Metode Certainty Factor Dalam Menentukan Perawatan Wajah Sesuai Dengan Jenis Kulit Wanita

Facial treatment is a comprehensive facial treatment. Starting from massage, facial cleansing with scrubs, chemical peels, exfoliation (microdermabrasion), extraction of blackheads, and giving facial masks according to skin type. Dr. Clinic. Aesthetic Center is a beauty clinic that not only provides facial skin care services, but also produces its own facial care products that have been registered with BPOM RI. At the clinic dr. Aesthetic Center The range to find out facial treatments that are suitable for skin type is done by coming directly to the clinic and conducting direct consultations with doctors. The limited number of dermatologists and doctor's practice hours as well as long distances make it an obstacle that is often experienced by most women who want to do treatment at the Beauty Clinic. So it can take a long time, cost and process. So we need an expert system application to find out the type of skin, the problems that arise, and the treatment actions taken based on the problems experienced by computerization. The design of an expert system using the Certainty Factor method of determining facial treatments is expected to help the results provide easy and fast facilities, especially in terms of health consultations and the delivery of information about facial skin types to the public to determine facial treatments that are suitable for skin types. From the weight calculation carried out in the case of oily skin, the highest percentage is 92% with the confidence level based on the Certainty Factor interpretation table is SURE.
Teaching Chemical Equilibrium in High School Using Android-Based Interactive Multimedia

This study aims to determine the improvement of student learning outcomes using the developed multimedia, knowing the effect of learning motivation on student learning outcomes and knowing student responses.The study used the ADDIE model.The sampling technique was purposive sampling in XI grade.The data collection instruments included student learning outcomes and questionnaires on motivation and responses.The learning instrument data from the pretest and posttest were composed of multiple-choice questions analyzed with the Rasch model assisted by the Winstep program.Analysis of data on motivation and learning outcomes by test using SPSS.The results showed an increase in student learning outcomes with an average N-Gain of 0.66 in the medium category, the impact of learning motivation students towards learning outcomes with a percentage of 12.3%, and student responses obtained results of 81.25% in the excellent category.
PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System

Session-based Recommender Systems (SRSs), which aim to recommend users’ next action based on their current and historical sessions, play a significant role in many real-world online services. The existing session-based recommendation methods have mainly focused on the accuracy of recommendation, which biases to reinforce popular items/services and loses the recommendation diversity. Diversity is a positive aspect particularly in SRSs as the target user may like to be surprised and interact with a broader range of content in different sessions. In this work, we propose a Personalized Diversification strategy for a Session-based Recommender System (PD-SRS) using graph neural networks. Comprehensive experiments are carried out on two real-world datasets to demonstrate the effectiveness of PD-SRS in making a trade-off between accuracy and personalized diversity over the baselines.
Lying eyes: The (misleading) perception of collections

“Your eyes can deceive you. Don’t trust them.” Obi-wan Kenobi (Alec Guinness) tells this to Luke Skywalker (Mark Hamill) in one of my favorite films, Star Wars: A New Hope. The interesting observation about that line is most of the time you can trust what you see with your own eyes. However, there are those select occasions where things may be hidden or not quite as they seem. As a collection development librarian, I help oversee and monitor our library’s print and electronic collections. One of the problems that I see (and sometimes hear about) through feedback is the physical appearance of our print collection. Row after row of books collected from decades ago containing shelf after shelf of faded spine labels. Honestly, this dilemma is not new. How do we strike a balance of changing formats while battling a visible perception of outdated materials and their impact on the perception of the library? Sure, weeding helps with some of this. However, without options to effectively rejuvenate the collection, all weeding would be doing is subtracting rather than supporting. Plus, some libraries including my own do not necessarily have easy remote storage options. There are also many other factors involved, including user preferences, allocation methods, usage data, collaborative collecting, and more.
PENGARUH PENGGUNAAN MODEL GROUP INVESTIGATION (GI) DAN PENGUASAAN KOSAKATA TERHADAP KETERAMPILAN MENULIS TEKS NEGOSIASI PADA SISWA KELAS X SMA NEGERI 1 NGAWI TAHUN AJARAN 2021/2022

This study aims to test the difference in the writing skills of negotiating texts between students who are taught with the group investigation model and students who are taught with discovery learning models (as control) in class X students of SMA Negeri 1 Ngawi. The sample in this study was from class X MIPA 1 SMA Negeri 1 Ngawi with the number of students 36 children and from class X MIPA 2 with the number of students 36 children with two stage random sampling techniques. This study uses an experimental method with a factorial design of 2x2. Data collection is carried out with written test techniques for data writing negotiation skills. Data analysis using techniques: (1) descriptive data analysis; (2) test requirements; and (3) statistically inferential data analysis using two-way anava techniques. The results of this study indicate that there are significant differences in student negotiation text writing skills between the Group Investigation (GI) model and the Discovery Learning (DL) model (FA = 72.29 &gt; F0,05;1;68 = 3.98). Students with the Group Investigation learning model has better result than students with discovery learning learning models. Keywords: Group Investigation, Discovery Learning, Writing Skills, Negotiations Text
Cooperative Data Transaction in Mobile Networks

Mobile data traffic is experiencing unprecedented increases due to the proliferation of highly capable smartphones, laptops and tablets, and mobile data offloading can be used to move traffic from cellular networks to other wireless infrastructures such as small-cell base stations. This work addresses the related issue of data allocation, by proposing a novel infrastructure independent method based on the hotspot function of smartphones. In the proposed scheme, smartphones transfer data allowances among mobile users, so that users with excess data allowances act as accessible Wi-Fi hotspots, selling their data allowance to other users who need extra data allowances. To achieve this objective, we propose to use auctions with single and multiple data sellers. Efficient schemes based on auction models are discussed to sell the data allowances over successive days in a month, and over different time slots during a single day. Overall system performance is considered based on the behavior of mobile users, such as changing demands for the sale or purchase of data allowances. Together with the analytical results presented, our simulation experiments also indicate that knowledge of user behavior can significantly improve the performance of data allowance transactions, leading to highly efficient allocations among users.
Noise Reduction in Medical X-Ray Images Using Wavelet and Neural Networks

Noise reduction in x-rays has attracted many researcher in recent years. This noise is produced duo to reduction of X-ray powers. Increasing the X-ray powers threatens the human life. Wavelet domain threshold level proposed by many researchers for this noise reduction. However, the many cases this approach is invalid because the noise distribution function is poison. In this research study we used the wavelet domain based on a genetic algorithm to tune the BayesShrink threshold. To increase the clarity an image, we used a multi-layer perceptron neural network. However, this neural network and other approaches are not able to eliminate large amount of noises. To overcome this kind of noise, we used a Directional adaptive median filter. Because the edges of images may be vanished by this method, we reconstructed the edge level at the end of process. The simulation results indicate that our approach provides more clear images than many of other methods in the literature such as PSNR, MSR and CNR.
Reading Comprehension Teaching Strategy Using Questioning The Author (QTA)

The purpose of this study was to determine the effectiveness of teaching reading comprehension using the Questioning The Author (QTA) strategy. The method used in this research is pre-experimental method. The subjects of this study were all students of class X SMK Pertanian Negeri 2 Tugumulyo. The results showed that: (1) the student’s scores in the pre-test were 57.96; (2) the student’s post-test score was 75.93; (3) paired t-test was 5.17, higher than 1.69 out of 32 with a significant level of 95% as a one-way critical value. In conclusion, learning to read comprehension using the QTA strategy is significantly effective in class X students of SMK Pertanian Negeri 2 Tugumulyo in the 2018/2019 Academic Year.&#x0D; Keywords: Pre-Experimental Research, Questioning The Author Strategy, Teaching Reading Comprehension
PENGARUH MEDIA BINTAR TERHADAP MINAT BELAJAR SISWA PADA PEMBELAJARAN TEMATIK KELAS 2 SD

Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh media BINTAR terhadap minat belajar siswa pada pembelajaran TEMATIK kelas 2 SD Antawirya Islamic Javanese School. Hal yang menjadi hambatan dalam pembelajaran disebabkan karena penggunaan media belum maksimal, sehingga siswa tidak antusias pada pembelajaran di kelas. Untuk itu perlu diterapkan suatu media yang lebih inovatif. Media BINTAR yang digunakan guru membantu memantapkan pengetahuan siswa dan menghidupkan proses pembelajaran. Penelitian ini merupakan jenis penelitian eksperimen karena ada suatu perlakuan yang diterapkan oleh peneliti. Desain penelitian menggunakan one group pretest posttest desain. Analisis data penelitian menggunakan uji t (one tail test). Sedangkan teknik pengumpulan data menggunakan angket. Hasil penelitian menunjukkan peningkatan yang signifikan dalam penerapan media BINTAR pada pembelajaran TEMATIK kelas SD Antawirya Islamic Javanese School. Hal ini dapat dilihat dari hasil uji t dengan taraf signifikan 5% ttabel. Disimpulkan bahwa thitung &gt; ttabel yaitu 1,928 &gt; 1,761. Hasil ini dapat dinyatakan ada pengaruh dari media BINTAR terhadap minat belajar siswa.Abstract: This study aims to determine the effect of BINTAR media on students' interest in learning in 2nd grade THEMATIC learning at SD Antawirya Islamic Javanese School. The thing that becomes an obstacle in learning is because the use of media has not been maximized, so students are not enthusiastic about learning in class. For this reason, it is necessary to apply a more innovative media. The BINTAR media used by the teacher helps strengthen students' knowledge and revive the learning process. This research is an experimental research type because there is a treatment applied by the researcher. The research design used a one group pretest posttest design. Analysis of research data using the t test (one tail test) While the data collection technique using a questionnaire. The results showed a significant increase in the application of BINTAR media in the THEMATIC learning of the Antawirya Islamic Javanese School Elementary School class. This can be seen from the results of the t test with a significant level of 5% ttable. It is concluded that tcount &gt; ttable is 1,928 &gt; 1,761. These results can be stated that there is an influence from BINTAR media on students' interest in learning.
Prediksi Curah Hujan Menggunakan Long Short Term Memory

The importance of predicting rainfall in fields that require rainfall information such as in agriculture, transportation and industry. Prediction of rainfall with statistics is done to solve the problems of this paper, thus this paper proposes prediction of rainfall using Long Short Term Memory in the case study: Surabaya City. The data used is rainfall data at two Surabaya stations, namely the Perak Meteorological Station I and the Tanjung Perak Maritime Meteorology Station from 2015 to 2020. The prediction test was carried out using the Long Short Term Memory algorithm with accuracy measurement results MSE 0.489, MAE 0.537 and R2 0.497. from these results prove that the Long Short Term Memory algorithm is better than previous studies.
On a Pathway Towards the Digitalisation of Higher Education: The Case of Latvia

The European project POWERHEAD (Empowering Higher Education in Adopting Digital Learning), involving the Latvian Ministry of Education and Science (project partner) and the Flemish Department of Education and Training (project lead partner), aims to analyse the possibilities of digitising higher education. In order to identify the way forward, digitising higher education in Latvia and Belgium (Flemish Region) was mapped according to the methodology developed in the project, taking into account Laurillard’s model of drivers and enablers. The project aims to develop policy guidelines for partners at two levels: 1) guidelines for a national policy strategy on digital learning in higher education; and 2) guidelines including recommendations for higher education institutions to develop teaching and learning in this format and environment and to plan the next steps in the digitalisation of higher education. To this end, a multi-stage study was carried out to identify the situation in Latvia. The first phase consisted of a series of focus group discussions with higher education stakeholders (students, lecturers, business representatives and policy-makers). The second phase consisted of a survey of academic staff comprising 40 questions, two of which were designed to elicit demographic information, while the remaining questions were open-ended. The results (and related challenges) were analysed using content analysis principles. The key finding is that stakeholders are generally supportive of the digitalisation of higher education but point to a number of challenges that need to be addressed: support for lecturers in learning digital skills, collaboration between lecturers, and digital solution designers to ensure that digital solutions are of high quality and avoid the risks of knowledge fragmentation. It is also important to think about the principles of inclusive education so that the digital learning environment is accessible to everyone.