Reviewerly/exHarmony huggingface dataset:
Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes.

A hospital readmission risk prediction tool for patients with diabetes based on electronic health record (EHR) data is needed. The optimal modeling approach, however, is unclear. In 2,836,569 encounters of 36,641 diabetes patients, deep learning (DL) long short-term memory (LSTM) models predicting unplanned, all-cause, 30-day readmission were developed and compared to several traditional models. Models used EHR data defined by a Common Data Model. The LSTM model Area Under the Receiver Operating Characteristic Curve (AUROC) was significantly greater than that of the next best traditional model [LSTM 0.79 vs Random Forest (RF) 0.72, p<0.0001]. Experiments showed that performance of the LSTM models increased as prior encounter number increased up to 30 encounters. An LSTM model with 16 selected laboratory tests yielded equivalent performance to a model with all 981 laboratory tests. This new DL model may provide the basis for a more useful readmission risk prediction tool for diabetes patients.
Interpretable Artificial Intelligence through Locality Guided Neural Networks

&lt;p&gt;In current deep learning architectures, each of the deeper layers in networks tends to contain hundreds of unorganized neurons which makes it hard for humans to understand how they interact with each other. By organizing the neurons using correlation as the criteria, humans can observe how clusters of neighbouring neurons interact with each other. Research in Explainable Artificial Intelligence (XAI) aims to all alleviate the black-box nature of current AI methods and make them understandable by humans. In this paper, we extend our previous algorithm for XAI in deep learning, called Locality Guided Neural Network (LGNN). LGNN preserves locality between neighbouring neurons within each layer of a deep network during training. Motivated by Self-Organizing Maps (SOMs), the goal is to enforce a local topology on each layer of a deep network such that neighbouring neurons are highly correlated with each other. Our algorithm can be easily plugged into current state of the art Convolutional Neural Network (CNN) models to make the neighbouring neurons more correlated. A cluster of neighbouring neurons activating for a class makes the network both quantitatively and qualitatively more interpretable when visualized, as we show through our experiments. This paper focuses on image processing with CNNs, but can theoretically be applied to any type of deep learning architecture. In our experiments, we train VGG and WRN networks for image classification on CIFAR100 and Imagenette. Our experiments analyse different perceptible clusters of activations in response to different input classes.&lt;/p&gt;
Studies of Contaminant Factors of Heavy Metals Content in Subsistence Farmlands at Akinyele Local Area in Oyo State, Southwestern Nigeria Using Geochemical Indices

The consumption of heavy metals through the ingestion of food is a growing concern in developing countries where monitoring of the environmental content of heavy metals has not been given the desired attention. This research work aims at determining the public health risks and safety of farm products in terms of their residual heavy metal burdens from five subsistence farmlands in the Akinyele area. Analysis of concentrations of Cd, Cu, Cr, Pb, Fe, and Zn in soil samples from the study area was conducted using a flame atomic absorption spectrophotometer. The pH of the samples was measured in situ using pH meter while soil organic matter was determined using the loss of ignition method. Geochemical indices were used to determine the concentration trend of heavy metals in the soil samples. Correlation analysis was performed to establish the relationship between the metals. The concentrations of all the heavy metals were below the maximum permissible limit stated by WHO/FAO. The soil pH ranged from 7.36 to 8.38 indicating that the study area is slightly alkaline. The soil organic matter content ranged from 1.637% to 2.1% indicating that the soil from the study area are mineral soils. Geochemical indices revealed that all the sampling sites were uncontaminated except Site A, B, and E with moderate contamination of Cd. Correlation studies between the analyzed variables revealed the common origin of all metals. The study area can be recommended for farming purposes. However, more farmlands should be tested to determine their residual heavy metal concentrations.
Visualisasi SD N 47 Kota Bengkulu Berbasis 3D Dengan Menggunakan Teknik Chrome Key Dan Sketchup

Profile video is an electronic medium to convey information that is very effective in introducing a school. Through this visual media, all information can be easily digested by all circles of society. State Elementary School 47 Bengkulu City, Mem needs promotional media to the community to increase the admission of new students. Based on this, then to do the promotion, a profile video of Sekolah Dasar Negeri 47 bengkulu city was made. In making this video, Sketchup software and enscape are used to make it easier to create profile videos. The purpose of the research is to make a 3D animated video as a promotional medium at Sekolah Dasar Negeri 47 Bengkulu City. Research methods through multimedia system development models using Luther Sutopo's Multimedia Development Life Cycle (MDLC). The research was carried out as a promotional medium through 3D animated videos using the sketchup application. The respondent's due diligence test received a response of 87.5%, which means that the video profile that was made is liked by the general public.
Quaternary Writing Skills of Class XI Students of SMA Negeri 6 Pekanbaru for the 2022/2023 Academic Year

This study describes and analyzes the ability of grade XI students at SMA Negeri 6 Pekanbaru in writing quatrains. This research is a quantitative research because the data presented in this study is in the form of numbers. Data analysis techniques in this study use descriptive statistical techniques. The research instrument used in this study was a quaternary type poetry writing test based on the form of writing one stanza consisting of only four lines. In the test instrument used, researchers provide several themes and students are welcome to write quatrains based on one of the selected themes. Students are asked to make quatrains by paying attention to existing assessment aspects, namely the suitability of themes, diction, rhyme, language style and mandates. The formulation of the problem in this study is what is the level of quaternary writing ability of grade XI students of SMA Negeri 6 Pekanbaru for the 2022/2023 academic year? Based on the results of the study, the quaternary writing ability of grade XI students of SMA Negeri 6 Pekanbaru for the 2022/2023 academic year is classified as moderate. This is known after testing using a one-sample t test with an average of 75.43.
PELATIHAN PEMBUATAN MEDIA PEMBELAJARAN BERBASIS ANDROID

The purpose of this service is to provide teachers with an understanding of how important Android-based media learning is in supporting the learning process. This community service program has the goal of conducting learning media training that can be used as an option for teachers and can be implemented in the learning process at school. Community service is carried out by providing training on making learning media based on Android applications in the learning process in the classroom for teachers in Tamansari Village, Setu District, Bekasi Regency. The service participants are the school heads and teachers from various levels in Tamansari Village, Setu District, Bekasi Regency. Dedication and limited facilities and infrastructure, 10 principals and 20 teachers were taken. The training was held at the Tamansari Village Office, Setu District, Bekasi Regency for 1 day on August 11, 2022. The implementation of community service can be categorized as successful in terms of the participation of participants and village officials who really helped carry out the activity, considering the target of 30 participants who were invited to attend as many as 30 people. Participants were very enthusiastic in participating in this service activity because it was a very new knowledge and made it easy to carry out learning, in addition to contemporary learning as well as developing Android-based learning media that they would use in learning in their respective schools. The participants' responses and responses to the service activities carried out stated that from the quality of the presenters, the quality of the modules was very good and they hoped that there would be ongoing training for special teachers in their schools who could be said to be still behind with technology.
Locutionary, Illocutionary, and Perlocutionary Speech Acts in the Comment Column of Instagram Account @jokowi

Every day humans interact as social beings to survive. Language is a communication tool in every human interaction. Currently communication is supported by many kinds of social media so that communication takes place quickly and can be done with anyone. One of the social media that is widely used in Indonesia is Instagram. Instagram is a social media used to upload and share photos and videos of its users. On every video and photo upload, users can add text which is usually called a caption and can provide feedback on an upload via comments. Through these two features speech occurs. Speech acts have three types, namely locutionary, illocutionary, and perlocutionary. This research uses descriptive qualitative method. The source of the data in this study was obtained from uploading greeting posters to the Instagram account @jokowi. Based on the research that has been done, 15 utterances were found in the three greeting poster uploads, namely, Mother's Day, Christmas, and New Year 2023 greeting posters. Based on the findings, the utterances most commonly found are illocutionary speech acts. This is due to the many comments that instruct the reader to follow something according to the story.
Socioeconomic Influence of Parents on Learning Achievement of PPKn Students of Class XI SMKS Ekatama Pekanbaru

This research is motivated by a learning process that cannot be separated from the need for facilities and infrastructure. These needs will be fulfilled properly if the parents' economic situation is also good. With sufficient needs, it is hoped that the learning process can run smoothly, thus having an impact on learning achievement, one of which is ppkn. The purpose of this study was to determine the socioeconomic influence of parents on student learning achievement. The research was carried out at SMKS Ekatama Pekanbaru using the survey method. The results of the study were that there was a positive and significant socioeconomic influence of parents on the learning achievement of ppkn students of class XI SMKS Ekatama Pekanbaru by 19.2%. Then the f test obtained Fhitung of 7,109 and ftabel 4.17 which showed that Fhitung ≥ ftabel, so Ho was rejected and Ha was accepted which means that variable X affects variable Y.
The Mediation of Knowledge Management on the Relationship between HRM Practices and Employees' Performance in Qatari Hospitals

Today, a competitive, uncertain, and fast-changing environment requires knowledge management.In this globalized world, the health sector can offer knowledge management in addition to human and physical resources.Knowledge management gathers experience, knowledge, and expertise; develops new skills; delivers job quality; fosters innovation, and improves the customer experience.Hence, this study examined the mediating effect of knowledge management on human resource management (HRM) practices on employees' performance in the Qatari Hospitals.Out of 500 self-administered questionnaires distributed among employees, only 315 were valid for analysis.Moreover, the data were analyzed using the Partial Least Square Structural Equational Modelling (PLS-SEM) to test the research hypotheses of this study.The findings of the study indicate that (HRM) practices and knowledge management have a significant influence on employees' performance in the Qatari Hospitals.Also, knowledge management has had a major impact on employees' performance in the Qatari Hospitals.Finally, knowledge management mediated the effect of HRM practices on employees' performance in the Qatari Hospitals.The performance of this study will be a policy dialogue between the department of human resources, regulators, researchers, and policy makers.The scientific novelty of this study lies in the examination of the mediating role of knowledge management between HRM practices and employee performance in the healthcare sector.
The Analysis of the Characterization of the Pevensies in the Novel of Narnia: The Lion, the Witch, and the Wardrobe

The writing of Clive Staples Lewis, especially his novel titled Narnia: The Lion, the Witch, and the Wardrobe had interesting characters. The characterization of the Pevensies strongly influenced the storyline of the novel. Therefore, the aim of this study was describing the characterization of the Pevensies in the novel The Chronicles of Narnia: the Lion, the Witch, and the Wardrobe. This research was a qualitative research with non-instrument. The research found that the characteristics of the Pevensies were different from another. This study was expected to give meaningful information for the reader about the characterization of the Pevensies in the Lewis’s writing.
IMPROVING READING COMPREHENSION IN NARRATIVE TEXT THROUGH READ, IMAGINE, DESCRIBE, THE EVALUATE AND REPEAT (RIDER) STRATEGY OF ELEVENTH GRADERS OF SMA N 1 JARAI: CLASSROOM ACTION RESEARCH

This study is a classroom action research that aims at improving students’ reading comprehension achievement in the narrative text through the RIDER strategy. The subject of this study were 28 students of XI. IPA 3 of Senior High School 1 of Jarai in the academic year 2015/2016. The research was conducted in two cycles (1 and 2 ) and the preliminary stage was initiated before the study was done. Each cycle has four steps; (1) Planning ; (2) Action ; (3) Observation, and (4) Reflection. The last step of each cycle was administered to what to do to the next cycle. There are two data collections, namely quantitative and qualitative. Tests are used as quantitative and observation is quantitative data. The mean and percentage are used to score the tests. Meanwhile, the qualitative data are interpreted by describing the result of the observation form. The findings show that there are improvements in students’ reading comprehension achievement in narrative text. From the mean score of students’ reading test, the achievements score are 70.17 for cycle 1; 78.57 for cycle 2. The improvements of the study for reading tests are 60.01% in cycle 1, 50 % for cycle 2. The result of observation also shows the improvement of students’ motivation in learning text. The observation is divided into two categories; active students and inactive students. In cycle 1, there were 11 students or 39.28 % for inactive students, in cycle 2 there were 4 or 14.28 % inactive students. Meanwhile, in cycle 1 there were 17 or 60.71% active students, and 24 or 85.71 % active students for cycle 2, From these data, therefore, the implementation of the RIDER ( Read, Imagine, Describe, Evaluate and Repeat ) strategy is appropriate strategy to improve students’ reading comprehension achievement in narrative text. And the criteria of success have been reached successfully.&#x0D;
ANALYSIS OF MOOD STRUCTURE IN EFL STUDENTS’ NARRATIVE TEXTS

This study aimed at finding the types of mood found in students’ narrative texts. This study employed a qualitative research design in which using the document analysis as a technique to obtain the data. The data used in this study were in the form of texts written by the students. There were six students categorized as high achiever, middle achiever and low achiever to become the sample of this study. The data were then analyzed using a data analysis sheet consisting of the categorizations of the data based on the mood types. The findings showed that the dominant mood type of the students’ narrative text was the declarative.
Do Countries Need Religion and Education Freedom to Achieve Prosperity?

The goal of this study is to determine the link between educational and religious freedom and prosperity in 45 countries from 2009 to 2018. Using the GMM system, the researchers were able to analyze the data. They found that academic and religious freedom is associated with increased prosperity. The collaboration of religious and academic freedom is also positive, which indicates that the two factors can contribute to the increase in prosperity. The researchers introduced the term "government effectiveness" to describe the relationship between capital formation and economic prosperity. The researchers used trade openness and gross fixed capital formation as control variables. Although they have a positive impact on the overall economy, they are not able to provide a significant boost to the prosperity of low-income countries. Therefore, the researchers recommend that educational and religious freedom be included in the government's efforts to improve the economic prosperity of these countries.
THE IMPLEMENTATION OF DIRECT READING THINKING ACTIVITY TO IMPROVE READING COMPREHENSION

This study aims to apply the use of Direct Reading Thinking Activity strategy in improving students' reading skills. This study uses a quantitative research with an experimental design. This research was conducted at Vocational High School of 5 Palembang. There were 2 groups selected by purposive sampling consisting of class X BDP 1 as the Experiment group and class X BDP 2 as the control group. Each student was given a pre-test at the beginning of the study and a post-test at the end of the study. The data processing in this study using the Independent Sample T-test. This study results that students who are given an Direct Reading Thinking Activity Strategy can help students in reducing errors in reading significantly as evidenced by the results of the pre-test and post-test data that have been given. This research can be a suggestion for teachers as an alternative to student reading that supports students' in learning. In experimental group, for the highest score in post-test was 100, the lowest score in post-test was 65, and the average was 81,00. Meanwhile, in control group for the highest score in post-test was 70, the lowest score in post-test was 55, the average was 58,00. The result of the research showed that there is a significant difference of reading score of the tenth grade students taught direct reading thinking activity from those ones taught conventional technique at Vocational High School of 5 Palembang
VISUAL REPRESENTATION AND COMPREHENSION: THE EXPLORATION OF MULTIMODAL TEXT TO ENERGIZE READING OF THE TENTH GRADE STUDENTS' AT STATE VOCATIONAL HIGH SCHOOL 5 OF PALEMBANG

Reading is a critical English ability for students to attain develop master to examine English, it is crucial to the destiny of students who want to be better degrees of studying. This study was aimed at finding out the exploration of multimodal text to energize reading with visual representation and comprehension. This study used a qualitative descriptive method. The data in this study were, observation, documentation and questionnaire. Based on the result of questionnaire in graph of pie, it was found that 53% of students answered fully agree and 39% of 35 students answered agree, so it can be concluded a students to give the positive perception about multimodal text as a media to energize their reading, and it can be conclude that the tenth grade students of State Vocational High School 5 of Palembang has positive perception. So students can enjoy and explore the multimodal text with their own choices.
Sistem Penentuan Penambahan Koleksi Buku di Perpustakaan Menggunakan Metode K-Means Clustering

In the library of the Pagar Alam Institute of Technology, the process of determining the addition of a book collection is still done manually, namely by taking notes to find out what book data are often borrowed by students, so it takes a long time to find the data archive of book borrowers, to determine the addition of books can be done. seen from the data archive of student book borrowing, because book lending is still done by recording so it is still difficult for officers to find out what books are often borrowed by students. The purpose of this study is to build a system for determining the addition of books in the library of the Pagar Alam Institute of Technology with the K-Means Clustering method which produces 3 clusters, namely cluster 0 which means high, cluster 1 which means medium and cluster 2 which means low. From this study, information was obtained that there were 563 data in cluster 0 with high information, 357 data in cluster 1 with moderate information, and in cluster 2, 290 data with low information with centeroid values ​​for the number of books, namely 1.396, 1.401 and 1.421, centeroid values ​​in information 1,620, 1,627 and 1,621 and the centeroid value on the number of borrowers is 6,362, 10,429 and 2,617. The test method uses Black Box Testing in the form of alpha testing which is tested by experts in the field while database testing obtains an average value of 4, interface testing 4.07, functionality testing 3.93 and algorithm testing with an average of 4 so as to obtain an average a total of 4 and get 80% eligibility results. The results obtained from the research are the System for Determining the Addition of Book Collections in the Library of the Pagar Alam Institute of Technology using the K-Means Clustering Method.
Integrating Dropout Regularization Technique at Different Layers to Improve the Performance of Neural Networks

In many facial expression recognition models it is necessary to prevent overfitting to check no units (neurons) depend on each other.Therefore, dropout regularization can be applied to ignore few nodes randomly while processing the remaining neurons.Hence, dropout helps dealing with overfitting and predicts the desired results with more accuracy at different layers of the neural network like 'visible', 'hidden' and 'convolutional' layers.In neural networks there are layers like dense, fully connected, convolutional and recurrent (LSTM-long short term memory).It is possible to embed the dropout layer with any of these layers.Model drops the units randomly from the neural network, meaning model removes its connection from other units.Many researchers found dropout regularization a most powerful technique in machine learning and deep learning.Dropping few units (neurons) randomly and processing the remaining units can be considered in two phases like forward and backward pass (stages).Once the model drops few units randomly and select 'n' from the remaining units it is obvious that weight of the units could change during processing.It must be noted that updated weight doesn't reflect on the dropped units.Dropping and stepping-in few units seem to be very good process as those units which step-in will represent the network.It is assumed to have maximum chance for the stepped-in units to have less dependency and model gives better results with higher accuracy.