Reviewerly/exHarmony huggingface dataset:
Exploring the Interplay of Pretraining, Architecture, and Adaptation in Foundation Models

Foundation models have emerged as powerful tools for learning and adapting to a wide range of tasks due to their ability to leverage large and diverse data sources. This paper aims to provide a comprehensive analysis of the key components that contribute to the success of foundation models, including pretraining, architecture, and adaptation mechanisms. We first investigate the role of pretraining in learning useful representations and how different objectives transfer to downstream tasks. We then delve into the impact of architectural choices on the learned representations, such as the effect of model scale, attention mechanisms, and nonparametric models. Finally, we explore different adaptation methods, including fine-tuning, few-shot learning, and prompting, to understand their efficiencies and limitations. Furthermore, we discuss the importance of robustness, calibration, and addressing biases in foundation models. We conclude by examining emergent phenomena and scaling laws in these models as they scale in size and capacity.
The Axiology Review of Short Story in Textbook toward the Character Empowerment for the Learners

This research described the axiology of short stories in the Indonesian language textbook, written by Suherli et al., on eleventh graders at Senior High School toward the learners' character education empowerment. The data consisted of excerpts consisting of life values and becoming the learners' character empowerment. The researchers collected the data by reading, listening, noting, and literature study techniques. The researchers analyzed the data descriptively and qualitatively with semantics validity, interrater reliability, and intra-rater reliability tests. The results showed that the short stories contained the life values, such as cultural, moral, religious, aesthetic, and social values. The values are meaningful and could be the lesson to develop positive attitudes of the learners and empower the learners’ characters.
Kinematic analysis and trajectory planning for a tree planting robot in forest environment

Tree Planting Machine (TPM) is subject to a Tree-Planting Robot (TPR) with desired tracking trajectory planning. In this topic, taking the TPR proposed as the analysis object, the positive and inverse solutions of the kinematics are analyzed to explore the optimal trajectory planning. An improved position/posture algorithm, based on the analytical solution of the inverse kinematics of the TPR, is proposed. The trajectory planning strategy for TPR in Cartesian coordinate system and Joint coordinate system is discussed, which is used for parabolic transition linear programming optimization, and the simulation model of TPR trajectory planning is constructed by MATLAB module. Numerical simulation results indicate that the deviation of the TPR trajectory from the expected value is significantly reduced. The proposed improved position/posture algorithm is verified by kinematic analysis, and the TPR followability and trajectory planning accuracy are greatly improved. Toward this goal, a variable trajectory planning can be effectively, and stability adjusted by pre-designed TPM system in the field of ecological tree planting.
Analisis Kinerja Jaringan Irigasi Ogoamas 1, Kecamatan Sojol Utara, Kabupaten Donggala

Irrigation performance is influenced by several aspects, namely: physical infrastructure, crop productivity, supporting facilities and infrastructure, personnel organization, documentation, and water user farmer associations (P3A). The purpose of this study was to determine the performance of the irrigation network in the Ogoamas 1 Irrigation Area based on the Regulation of the Minister of Public Works No.12/PRT/M/2015. The research method was carried out by direct survey to the location, interviews and documenting the irrigation network to obtain primary and secondary data. secondary. After that, data analysis was carried out. From the results of the analysis it can be concluded that the weight value of the physical infrastructure condition is 33.21%, the condition of crop productivity is 10.40%, the condition of supporting facilities is 8.75%, the personnel organization condition is 11.40%, the documentation condition is 3.80. %, and the P3A condition is 6.15%. The result of the overall weight value of the performance of the Ogoamas 1 irrigation network is 73.71% with good performance category.
Kajian Sistem Drainase Perumahan di Kota Luwuk Kabupaten Banggai

Luwuk City is the center of the city of Banggai Regency, which continues to grow. Urban development is followed by an increase in population and land requirements. Changes in land use from open land such as forests, gardens and dry fields to land for settlements causes surface water infiltration to decrease and increase surface runoff. Increased runoff due to reduced water catchment areas as the impact of city development has caused existing drainage to not be able to accommodate the increasing runoff water, resulting in waterlogging or even flooding. About 80% of the water used by the community is discharged directly as liquid waste into drainage canals. This condition of the community results in the accumulation of waste or silt in the drainage channels. This study aims to examine the drainage system in Luwuk City. The study was carried out by evaluating the existing canal system and identifying the suitability of the primary and secondary canals. Based on the results of the analysis carried out in this study, there are several things that can be concluded, namely: several drainage paths indicate the direction of flow does not follow the topography so that this can cause waterlogging and there are 3 natural channels that can be used as primary drainage and 6 natural channels that can be used as secondary drainage so that it will help speed up the flow of water to the final storage area
Policies and Strategies for Improving the Research and Scientific Publications Quality at State Islamic Religious Colleges in Kalimantan

The quality of research and scientific publications is an essential concern in managing higher education institutions. Therefore, this research aims to examine the policies and strategies for enhancing the quality of research and scientific publications in State Islamic Religious Colleges. This is a qualitative study that gathers data from library and field research. The findings show that each university already has regulations based on provisions from the Ministry of Higher Education, including the Internal Quality Assurance System (SPMI) and External Quality Assurance System (SPME), for managing research quality. Additionally, UIN Antasari Banjarmasin, UIN Samarinda, and IAIN Palangkaraya are improving the quality of research and scientific publications of their lecturers with policies such as allocating 30% of BOPTN funds and implementing the LITAPDIMAS system. However, the outputs and benefits of these policies have not been fully realized due to budget absorption issues that limit the development of a research and publication culture. Therefore, developing such a culture presents a significant challenge that requires a long-term commitment and the participation of all stakeholders. The culture-building process should start from upstream to downstream aspects.
Professional training of future academic staff and digitalization of education: analysis of mutual influences

Today’s modern society is developing quite dynamically due to the use of the latest technologies and their implementation in quotidian life. The same trends are characteristic for the development of higher education and all participants involved in this process. The purpose of the article is to analyze the mutual influence of the professional training of future scientific and pedagogical workers and the trends of education digitization. Particularly, the importance of acquiring digital competence was established – the importance of this process was confirmed by the use of content analysis of the literature: search engines found 60 most concerning articles for the years 2015–2023. In the results, materials of empirical and theoretical content were elaborated. It should be noted that students in Ukraine are not enough competent in the use of igital technologies, but some of them have not completely realized the essence of the responsibility and academic integrity regarding the use of various sources. The results also show that there are a number of difficulties (for example, lack of motivation and knowledge about digital competencies) in the professional training of future scientific and pedagogical workers using digital technologies. The conclusions summarize that digital skills will become especially relevant in the future, so the training of teachers and scientists should pay great attention not only to the use of digital technologies and resources in teaching, but also theoretical counseling, the formation of students' ability to critically perceive the digital content. Therefore, the system of professional training of future scientific and pedagogical workers should focus on the formation of digital literacy, critical thinking, and information competence of students. At the same time, the mutual influence on the digitalization of education is possible. Thanks to the cooperation with employers, teachers will change the content of training in accordance with the current requirements of the labor market, so digital training mechanisms will also need an improvement.
Traditions and innovations: two poles of education of the future

In this article one made a review of the literature based on the relationship between traditions and innovations in the pedagogical process over the last decade. In the article one summarized domestic and foreign scientists opinions on the topic of combining traditional and innovative forms and methods, their relationship and complementarity; the importance of traditions for the implementation of innovative models of education is considered; it is emphasized that the pedagogical tradition contains many elements, performs various functions and is reflected in a significant number of pedagogical technologies and methods, forms and means. Based on a full-text analysis of about 16 articles published in well-known databases and scientific journals, the study revealed the support of the vast majority of researchers concerning innovative educational methods. All the cited scientists have the idea that the introduction of innovations renews and strengthens the educational process. They focus readers' attention on the interaction of traditional and innovative teaching methods, since according to the waste majority of scientists, without preserving pedagogical traditions, the modernization of educational systems is unlikely to bring significant positive results. At the same time, in the entire collection of researched articles, there are several authors who consider traditional education to be more effective than innovative education. According to the scientist’s opinion, these two phenomena are not only interconnected and mutually determined, but also do not exist as separate phenomena. In other words, the tradition is an integral part of innovation, and pedagogical innovation always includes traditionally oriented elements.
On the development of information and communication technologies in education of the future: the possibilities of cloud computing technology

Information and communication technologies have created a real revolution in various spheres of activity and the field of education is no exception. Online learning is becoming increasingly important, especially with the evolution of new information and communication technologies. Consequently, the purpose of the article is to consider the experience of using and implementing information technology in the educational process, informatization of education, the spread of cloud technology, and the popularization of the use of cloud computing technology. This IT tool is adapted for easier access to a database or services through a secure virtual space. It is also an efficient solution for storing and accessing information at any time. The growth of digital literacy is accompanied by the institutionalization of the use of information and communication technology (ICT) in education. As a result of the process of selection and verification over a large number of scientific papers involved in the topic, only the 20 most current sources from 2018-2022 were selected for this analysis. The paper used scientific methods such as analysis and synthesis. Several examples of cloud computing technology in education were selected for analysis. The synthesis method identified the main drawbacks and The conclusion notes that digital innovation has proven its usefulness in accompanying, enriching, and transforming education, and has the potential to accelerate progress toward the goal of sustainable development for education and transforming overall access to learning. This will help strengthen the quality and relevance of learning, reinforce inclusion, and improve the administration and management of education. In times of crisis, distance learning can be used to mitigate educational disruptions and closures.
Overcoming Challenges in Time Series Representation Learning for Multimodal Healthcare Data: Robust, Interpretable, and Clinically Actionable Approaches

Time series data play an essential role in various healthcare applications, such as disease diagnosis, prediction of disease progression, clustering of patient groups, online monitoring, and dynamic treatment regimes. However, the full potential of time series analysis is yet to be realized in healthcare due to challenges like labeling, high dimensionality, missing values, and irregularity of measured data. This paper presents an in-depth overview of the current state of time series representation learning in healthcare, discusses the challenges and potential solutions to make these techniques more robust, interpretable, and actionable in clinical practice. We also highlight the importance of addressing minority data groups and their unique challenges, such as pediatrics, critical care (ICU), and rare diseases like Alzheimer, HIV, and fertility.
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions

We propose a method for editing NeRF scenes with text-instructions. Given a NeRF of a scene and the collection of images used to reconstruct it, our method uses an image-conditioned diffusion model (InstructPix2Pix) to iteratively edit the input images while optimizing the underlying scene, resulting in an optimized 3D scene that respects the edit instruction. We demonstrate that our proposed method is able to edit large-scale, real-world scenes, and is able to accomplish more realistic, targeted edits than prior work.
Machine Translation on Dravidian Languages

The Dravidian languages are spoken all over the world. Despite their distinctiveness, Dravidian languages haven’t gotten much attention because there aren’t enough resources to handle tasks like translation that require language technology. Since Dravidian languages are largely spoken in southern India, machine translation is necessary. For those who speak these regional languages, this would improve information creation and access. It can be challenging to translate between languages, particularly that of Dravidian, because of lexical divergence, ambiguity, and other, lexical, syntactic and semantic issues. This research looks into a number of machine translation models for different languages, conducts a thorough literature review on the various machine translation techniques from earlier studies, and analyses their methodology. The major objective of this research is to evaluate the viability and effectiveness of a machine translation process for Dravidian languages.
Review on Home Security System in Developing Countries: Affordability or Comfortability

The spate of robbery, kidnapping, and killing has increased tremendously as most developing countries live below the poverty index.Relying on local authorities may be suicidal as global security architectures have noticeable imperfections.Hence, when planning security solutions on an individual or community basis, the cost is the main factor that must be considered.This review seeks to proffer solutions adapted to little communities to abate or mitigate crimes.The need for an unmonitored home security system was discussed as it has been identified as the panacea to curb organized crimes.Available security technologies were discussed in chronological order, focusing on affordability or comfortability.In developing countries, low-income earners are the victims; the security option should be centered on affordability.On the other hand, average-income earners who could afford the cost of newer technology are plagued with social burdens and time consumption in scanning and updating the biometrics of their guests.In that case, the challenge becomes 'comfortability'.This review examined the shortcoming of home security systems and how it applies to curbing crimes.Low-cost home security was then proposed with all its components, languages, and tools listed for further work.It is recommended that incorporating a shared database with old technologies' home security systems would lead to 'affordability' and 'comfortability'.This recommendation can reduce crimes by 30%.
Cloud Computing Model for E-Commerce in Saudi Arabia

The impact of cloud computing can be seen in several industries, including e-learning, healthcare and education.It offers customer service lives with high productivity and minimal cost, producing a high financial value.In contrast to developed countries, the use of cloud computing is still relatively new and is not widely accepted in developing countries like Saudi Arabia (SA).In essence, implementing a modern approach to the cloud is dependent on a number of factors that may affect the Saudi Arabian government's preference to do so.Therefore, it is critical to comprehend why some companies are better equipped than others to transition to cloud computing in order to support the application of cloud knowledge.Accordingly, this article aims to present a cloud computing model for E-commerce in SA that integrates the E-commerce as a service business and cloud computing.The proposed model also offers several internal services, including security services, Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Hardware as a Service (HaaS), Software as a Service (SaaS) and Data as a Service (DaaS).Throughout this, it is anticipated that the suggested model will work with reliable management, server and business modules in addition to sources of hardware and software.
Cascade-Based Non-Linear Feedforward Neural Networks for Bi-Directional Memory

In today's world, efficient computation is the key to success in many fields.Pattern association plays an influential role in many areas of life, such as learning and memory.In complex dynamics, bidirectional associative memory has been effectively demonstrated by neural networks.However, these neural networks face challenges in terms of performance, such as computational time.A random bipolar input pattern and output pattern of a matrix with different sizes were used to analyze the background of this study.In order to address the challenges of bidirectional associative memory, nonlinear memory association is considered to be the most feasible method.In this study, we present a cascadebased non-linear feedforward neural network that performs pattern association in two passes and behaves like a Bayesian algorithm.A random pattern and English alphabets with different patterns have been used to validate the results of this approach.Using the experimental results, the study evaluated BAM's equivalent performance, pattern association, and stability.
Analyzing the Distribution and Trends of Research in Double Top-University Construction in China: A Knowledge Mapping Analysis of CSSCI Literature

This research study, titled "Analysis of Double Top-University Construction in Domestic Academia: A CSSCI Literature Review (2016-2019) Using CiteSpace," provides an analysis of relevant literature on Double Top-University construction in China. The study utilizes the CiteSpace visual tool to examine the distribution characteristics of Double Top-University Construction in China. It is found that The authors, institutions, journals, and focus themes related to Double Top-University construction were remain the key component of research in recent years. Challenges and potential problems exist in the development of China's "double first class" initiative, necessitating greater scholarly attention. Specifically, efforts are required to strengthen the connection between academic research and policy implementation, conduct further research on international experiences and emerging issues, and improve interdisciplinary collaboration among related fields. Given the interdisciplinary nature and complexity of this initiative, effective coordination and integration across disciplines are essential to meet long-term strategic objectives. The findings of the analysis provide valuable insights that can guide and enrich future investigations towards the construction of Double Top-Universities.
Perancangan Aplikasi Sistem Informasi Perusahaan Ekspedisi Logistik PT XYZ Berbasis Web

In this research, the problem is formulated on how to design an information system for a Logistics expedition company PT XYZ which can provide convenience in carrying out transaction entry processes (Receipts) and also designing dashboards. While the purpose of this research is to find out how to create and design a courier &amp; cargo management system, to find out the number of sales and transactions of PT XYZ through the sales dashboard. The design of this information system uses the Agile Method, which uses a short development cycle, and also does not require large resources and also by using agile methods the manufacturing process becomes more focused and focused. The design of the PT XYZ web-based logistics expedition company information system application can help the company to carry out the process of making receipts and user management and helping the company to see data that has been processed and has been sorted into information through the dashboard, and also the latest historical status of receipts.
Prediction of ICU Admission for Covid-19 Patients: A Machine Learning Approach Based on Complete Blood Count Data

Abstract: In this post, we talk about how to create prognostic Machine Learning (ML) models for COVID-19 progression. Specifically, we talk about how to forecast who willneed to be admitted to the intensive care unit (ICU) in the next five days.On the basis of 4995 Complete Blood Count (CBC) tests, we created three ML models.We propose three ML models that differ in terms of interpretability: two fully interpretable models and a blackbox one.We report an AUC of .81 and.83 for the interpretable models (the decision tree and logistic regression, respectively), and an AUC of .88 for the black-box model (an ensemble).This demonstrates how CBC data and machine learning techniques can be used to predict the cost-effectiveness of ICU admission for COVID-19 patients.In particular, because the CBC can be quickly obtained through routine blood tests, our models could be used in settings with limited resources and to quickly provide indications at triage and daily rounds.