Reviewerly/exHarmony huggingface dataset:
THE GROWTH OF NIGERIA'S ECONOMY FROM 1981 TO 2019 IN RELATION TO THE FINANCING OF AGRICULTURE

The analysis of various economic variables in Nigeria from 1981 to 2019 shows that the country’s economy has been heavily reliant on oil exports, which has left it vulnerable to external shocks and hindered economic growth. This over-reliance on oil exports has led to neglect of the agricultural sector, which was once the main source of foreign currency earnings for Nigeria. As a result, there has been a decline in food production and an increase in imports. However, a study investigating the impact of government spending on agriculture on Nigeria’s economic growth using secondary data covering the same period shows that investing in agriculture is essential for Nigeria to achieve a diversified economy and sustainable economic growth. The study uses the Ordinary Least Square (OLS) approach and the Augmented Dickey-Fuller (ADF) unit root test to analyze the data and concludes that diversifying the economy into non-oil industries, such as agriculture, is likely to have a significant impact on economic growth. The regression analysis showed that government agricultural spending has a positive impact on economic growth. The findings suggest that RGDP, AO, AL, AE, and IFR had an up-down tendency, while INT had an up-down-up trend. The skewness statistic indicates that the variables’ frequency distributions were positively skewed, while the Kurtosis statistic indicates that they were normally distributed. The unit root tests indicate that all variables were stationary at 5%. The regression analysis showed that AO had a positive association with RGDP, while AL had a negative association with it. The study also provides additional information, such as the contribution of agriculture to Nigeria’s GDP and the statistical reliability of the variables.
Analisis Kemampuan Literasi Numerasi Siswa Pada Tingkat Sekolah Dasar

The purpose of the study was to analise numerical literacy of elementary students.This research uses a case study qualitative approach. Data collection techniques with participatory observation, interviews, and documentation. The result of this study are numerical literacy analise of elementary students.
Project integration of knowledge in the training of professionals in basic education

The objective of this research is to determine the level of application and impact of the Knowledge Integration Project (PIS) in the training of professionals in basic education (E.B). For this purpose, part of bibliographic reviews in scientific articles, laws and experiences of students who experienced the learning strategy. The methodology responds to the quantitative - qualitative paradigm; the use of the methods was required: descriptive, explanatory, analytical and synthetic, a structured questionnaire was applied according to the Likert scale to 38 students of the E.B career of the Technical University of Machala. It was considered as selection discretion of the sample, having participated in the development of two PIS. In the same way the comparative procedure was used to carry out the theoretical triangulations and reach the respective conclusions. Among the main findings and in order to unveil the application and impact levels of peer in professional training, it was found to be an integrative and collaborative learning strategy, which reflects the importance of the PIS as a contribution to the formation of the teacher, for being an interdisciplinary process that can be presented with different degrees of transference, interrelation and integration of learning.
Feasibility analysis of pod and deep autoencoder for reduced order modelling Indoor environment cfd prediction

The computational effort of CFD simulation remains a prohibitive barrier to real-time prediction for design assistance and fast simulation. This study examines and compares the feasibility of two dimensionality reduction algorithms, proper orthogonal decomposition (POD) and deep-autoencoder (AE), for efficient feature extraction from indoor airflow simulation, and investigates how they contribute to fast and accurate prediction. The performance of these two methods is evaluated in various typical scenarios conducted in a 2-dimensional (2D) rectangular chamber, with air velocity distribution as the dependent variable, and tested using a set of different inlet velocities. The research pipeline involves using computational fluid dynamic (CFD) generated data as input for POD and AE to obtain compressed representation, then fed into a neural network (NN) method to train surrogate models for prediction and reconstruction. The results indicate that the combination of AE and neural network method (AE-NN) has excelled in the robust prediction of flow pattern transition than a combination of POD and neural network method (POD-NN). AE-NN accurately predicted that the leading edge of the airflow gradually moved forward as the inlet velocity increased, and the move displacement distances agreed with CFD results.
Exploring the Potential of Digital Twins at the District Scale: a Framework for Investigation

The uncertainties inherent in predicting the energy demand of a set of buildings at the district scale are major and have been observed by many experts.This paper explores the potential of improving the accuracy of energy predictions at a district-scale through the adoption of Digital Twins. A brief review of different urban building energy methods (UBEM) is presented and a theoretical framework is proposed that intends to show how the accuracy of predictions at the district scale can be improved. The framework is discussed and validated through interactions with experts in key areas (UBEM, Digital Twins, Building Information Modelling (BIM) and Machine Learning). Feedback obtained indicates that Digital Twins and BIM models can play a significant role in improving the accuracy of energy predictions where they become a source of 'ground truth' for all entities in a building.
Extension of a Virtual Reality Simulation Environment with an immersive experience of thermal radiation for the user

This contribution describes an extension of an existing virtual reality (VR) simulation environment for indoor climate to include the immersive experience of thermal radiation. Here, the user is located in a climate chamber, immersed in the 3D visualization of the building model and feels the simulated indoor climate and the thermal radiation of the surrounding room surfaces. The user can change his/her position in the VR environment and influences in real time the distance between the surrounding radiant surfaces and his/her body, dynamically changing the operational temperature. This approach is implemented in a software system consisting of the game engine Unity and a Modelica building model. The user's movements and interactions change the state of the building model and the calculated time-dependent surface radiation is reproduced in the climate chamber by a matrix of temperature-controlled radiant surfaces. The overall approach is demonstrated by means of a case study.
Optimization of outdoor thermal comfort in high-rise residential blocks based on the design of landscape-integrated wind deflector

This study focuses on microclimate adjustment for small-scale outdoor spaces in high-rise residential blocks. The study explores the form design of landscape-integrated wind deflectors to investigate and optimize the local outdoor space comfort of high-rise residential blocks in a subtropical climate in Shenzhen, China and to analyze and summarize effective form parameters for environmental enhancement. A workflow is built on the Grasshopper platform and related software to coordinate the data interaction between CAD models and multiple simulation engines to achieve wind field and thermal comfort simulations. For the narrow-shaped deflector, this study found that the level of enclosure and orientation of openings were the most critical parameters in modulating wind fields and thermal comfort in surrounding areas, resulting in a 65% improvement in the average wind speed and a 1.5-3°C increase in the UTCI thermal comfort index in these areas. Finally, the study suggests how this workflow and results can inspire similar design and optimization issues.
A bibliometric analysis of immersive virtual environment applications for occupant comfort and behavior research

A bibliometric analysis is conducted to systematically analyze research trends and opportunities in Virtual Reality (VR) and Immersive Virtual Environments (IVEs) applications to study indoor occupant comfort and behaviors in buildings. The methodology includes: (i) article search and selection; (ii) analysis of sources; and (iii) network analysis and mapping. Results show that research activities remain limited to a few institutions and researchers, with limited global representation. In addition, research trends in the past two decades evolved from focusing on fire safety to energy consumption, occupant perceptions, comfort, and behavior. Future research directions include multi-domain evaluations of occupant-building interactions.
Clustering analysis of IAQ patterns and characteristics in a university dormitory

Since modern people spend 90 percent of their time indoors, IAQ issues are very important. In particular, university dormitories are places where many students live closely in one space and sleep, so they should be able to provide healthy indoor air quality for their health and academic achievement. However, there is still a lack of research on IAQ in university dormitories in Korea. This research investigated the indoor air quality in 10 private rooms in a university dormitory by sensing CO2 and PM2.5 sensors. The study found that personal lifestyle habits of occupants affected indoor air quality rather than external pollutant concentrations. The concentrations of CO2 and PM2.5 varied depending on time of day, indicating the need for individual management of indoor air quality. Although the study also found that the pattern of pollution sources varied among dormitory rooms, based on clustering analysis, categorizing private rooms into low, medium, and high CO2 and PM2.5 pollution rooms was available. The findings could help managing good indoor environment of dormitories.
Dynax: a differentiable dynamic energy simulator for inverse inference, optimal control and end-to-end learning

This paper presents a differentiable simulator for dynamic energy systems to support gradient-based tasks, such as inverse inference, optimal control and end-to-end learning. The differentiable simulator is built on an open-source auto-differentiation (AD) platform specifically designed for deep learning communities.With the inherent differentiability and parallelization across hardware accelerators, this differentiable simulator can benefit the digital twin era by leveraging modern computation hardware accelerators to perform real-time inference and learning-based control.
Fuzzy Minimal and Maximal e-Open Sets

The aim of this article is to introduce fuzzy minimal e-open and fuzzy maximal e-open sets in fuzzy topological space. Further, we investigate some properties with these new sets.
On rarely fuzzy Irw-continuous functions

In this paper, we introduce the concepts of rarely fuzzy Irw-continuous functions in fuzzy topological spaces. Some interesting properties and characterizations of them are investigated. Also, some applications to fuzzy compact spaces are established.
FiRo: Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input

Minh Nguyen, Nancy Chen. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
AN ANALYSIS OF THE PROBLEMS OF ABSTRACT TRANSLATION IN CHINESE ACADEMIC JOURNALS

The abstract is an indispensable component of an academic paper. The English version of the abstract in Chinese academic journals plays an important role in its international influence. However, as the English editor of a Chinese academic journal, the author noted mistakes and problems in the English translation of the abstracts ranging from diction and grammar to logic and structure. Based on the classification of the typical mistakes and the exploration of the root causes of them, this paper offers a feasible solution to the above problems in the hope of offering reference for the writing and translation of abstracts in academic journals.
Proposing a Zero Trust and Blockchain Approach to Tackle Software Supply Chain Attacks

This paper will discuss some statistics related to software supply chain attacks and understand their effects in today's technology landscape.We will focus on newer technologies like Zero Trust and Blockchain, which can help safeguard organizations against such attacks.The paper will develop on previous research and emphasize creating a Zero Trust and Blockchain deployment, allowing organizations to establish a decentralized, immutable, and secure software supply chain.
Sistem Pakar Pemilihan Serum Wajah Menggunakan Metode Certainty Factor (Studi Kasus Produk Avoskin)

More and more people are aware of the importance of caring for facial skin, resulting in skincare production proliferating. Various kinds of skincare products are on the market, including facial serum. Facial serum is superior because it contains higher levels of active substances than other skincare products. The content and composition of a facial serum varies greatly and has different functions because the skin types and problems experienced are different. This means that users cannot use facial serum carelessly. Through this research, an expert system was created by applying the Certainty Factor method to identify facial serums, especially Avoskin products, which are expected to help the public determine facial serums that suit the type and skin problems they are experiencing. This study used 21 data on facial skin symptoms with eight types of Avoskin Your Skin Bae serum products. Based on the test results using the system accuracy percentage method, an accuracy of 85% was obtained so that the expert system created could run well.
LETTERS OF A. P. UMANSKY TO M. P. GRYAZNOV: ARCHIVAL MATERIALS AND THEIR HISTORICAL CONTEXT

The article is devoted to the analysis of some letters of the historian and archaeologist A. P. Umansky sent to his colleague and teacher M. P. Gryaznov. The letters are not only sources for understanding the nature of interpersonal relations. They refect important facts, as well as necessary information about the processes that infuenced the formation of A. P. Umansky as a scientist.
MULTILINGUALISM IN AN ESP ONLINE LEARNING CLASS A CASE IN AN ENGLISH FOR PROFESSIONAL COURSE

ESP (English for Specific Purposes) in online learning classes has its way of communicating since the students do not meet physically because they only meet virtually. The study aims to find out the languages used among the online learning students in an ESP online classroom, especially in interacting and communicating with one another in a team and virtual classroom, and to figure out the students’ attitude toward multilingualism in ESP online classroom communication. A questionnaire is distributed to 24 students joining an English for Professional class at BINUS Online Learning as the participants. The data from the questionnaire is analyzed qualitatively in the form of percentages. The result shows that the students apply multilingualism in the online learning class for interaction and communication. They show both positive and negative attitudes toward the use of many languages in their team and classroom communication while English is required as the means of communication and interaction in the team and classroom.
Sistem Pakar Untuk Mendeteksi Kerusakan Sepeda Motor Menggunakan Algorima Naïve Bayes

&#x0D; Damage to the motor occurs due to negligence in carrying out maintenance. Currently, the process of checking motorcycle damage in a workshop generally still uses manual methods in analyzing motorcycle damage. This results in inefficient and time-consuming motor checking. The purpose of this study was to design and build an expert system to detect such damage using the Naïve Bayes algorithm method. It is hoped that with the expert system, the checking time will be more efficient. An expert system is a computer program created to solve a problem in a particular field based on knowledge, facts and reasoning techniques from an expert in solving problems. The method of data collection carried out includes interviews with mechanics, so that reliable data can be obtained. The symptoms used in motor damage detection are eroded pulleg nut (G13), eroded V-belt (G15), eroded gear (G16). So that two damages were identified, namely damage to the CVT engine (K3) and the basic clutch (K5). Based on the percentage results of each damage, namely K3 of 83.33% and K5 of 16.66%. So it can be concluded the probability of damage that occurs, namely damage to the CVT engine (K3).&#x0D;
Acceso a las tecnologías digitales e internet en la educación superior

This work presents the process used to validate a data collection instrument in the context of the Covid-19 pandemic. The aim was to demonstrate the reliability of a questionnaire about access to digital technologies and the Internet by university students. The questionnaire construction process consisted of two stages: items were initially developed based on the objectives indicated by the Working Group, mapping the items related to “Technical Information” (INF) and “Experience” (EXP) with Digital Technologies in Education. In the second stage, the items were adjusted and divide into different sections in order to provide the respondent with one context at a time. The validity performed in the construction of the instrument indicates that the questionnaire developed is adequate to measure the latent factors of technical information. Although there was no complete invariance of the instrument for all groups of respondents, the validation conducted indicates that the instrument is relatively good for comparing the mean of latent factors in most groups.
Instructional Readiness and Stress Level of Special Education Teachers on Blended Learning Approach during COVID-19: Implications for Post-Pandemic

Amidst the threat of the COVID-19 pandemic in the Philippines, educators, students, and schools are still coping and adjusting to distance learning education. This study investigated the level of instructional readiness and stress of SPED on using a blended learning approach during the pandemic in one of the elementary schools in Davao City, Philippines. A quantitative approach based on the survey method using a descriptive-correlation research design was used to collect data from 30 SPED teachers. An adapted questionnaire was modified to collect the relevant data for this study. The data-gathering procedure was done through Google Forms, which were sent to the teachers via email. Mean, standard deviation, and Pearson product-moment correlation were used to determine the instructional readiness and stress level of SPED teachers. Results indicated that the teachers’ instructional readiness was moderate, while the level of teachers’ stress was high. The study also found a significant relationship between teachers’ instructional readiness and stress levels. It could be concluded that SPED teachers exhibit insufficient technological readiness due to the rapid shift to new educational systems during the pandemic, resulting in difficulties in acquiring basic ICT skills and increased stress levels. The lack of preparation and adaptation to the new environment has led to heightened workloads, affecting their perceived effectiveness in educating pupils. To address the gaps, it is essential for school administrators to prioritize and implement strategic interventions. Teachers must be proactive in doing their roles. Students and parents must actively participate in the transition to blended learning. Implications for the post-pandemic period are presented.
On the information problems in modern historical science and new forms of fixation of scientific knowledge in the 21st century

The article, based on many years of experience of the author's scientific work, analyzes the crisis problems of the development of historical science in Russia in modern conditions. Much attention is paid to the qualitatively new working conditions of scientists in the context of the information boom and the spread of IT.
PENGARUH PENERAPAN MULTIMEDIA PEMBELAJARAN INTERAKTIF TERHADAP HASIL BELAJAR MATEMATIKA PESERTA DIDIK KELAS VIII SMP NEGERI 43 PADANG

The level of mastery of mathematics that has been obtained during learning can be reflected by the learning outcomes. The problem that occurs at SMP Negeri 43 Padang is the low mathematics outcomes of learning achieved by students. The use of interactive learning multimedia is the solution that is applied in this problem. This study aims to know differentiate between interactive multimedia-based learning and learning by conventional. This research uses the type of quasi-experimental with a nonequivalent posttest-only control group design. The research population are students of 8th grade of SMP Negeri 43 Padang, with VIII 1 as the class for experimental and VIII 3 as the class for control, the choosing by technique of purposive sampling. The research instrument that used in this research is essay questions form test of learning outcomes from mathematics. The research hypothesis is analyzed by t-test. P-value = 0,000 at significance level 𝛼 = 0,05 is obtained based on the data analysis result so that 𝐻0 is rejected. Therefore, we got the conclussion that students who study using interactive learning multimedia obtain better learning outcomes by mathematics than students who study by learning with conventional. Keywords – interactive learning multimedia, learning outcomes, Cartesius
PENGARUHaPENERAPAN MODELvPEMBELAJARANdPROBLEMqBASED LEARNINGrTERHADAPdPEMAHAMANxKONSEPtMATEMATISo PESERTAkDIDIKzKELASiXIiMIPA SMA NEGERI 1 PAINAN

Mathematicskconceptual understanding ability is oneloffabilities thattmust be mastered by students. However, students' understanding of mathematical concepts is not optimal yet. The PBL model can be used to enhance students' knowledge of mathematical concepts. Thekgoal of this researchk is to find out whetherdmathematics conceptual understandingf ability of studentspwho learn with PBL modell is betterk thanq mathematics conceptual understanding ability of students that learning by directj learning. According to the study's findings, it was discovered that the ability of students who studied with PBL was better than those who applied the direct learning model. Keywords – Mathematics Conceptual Understanding, PBL , Direct Learning
PENGARUH MODEL PEMBELAJARAN.KOOPERATIF TIPE THINK TALK WRITE TERHADAP KEMAMPUAN KOMUNIKASI MATEMATIS PESERTA DIDIK KELAS VIII

Communication skills has an important position in mathematics learning, because of the skill in explaining ideas verbally or in writing. If students are good at this skill, they will be able to understand the problem correctly. However, in practice, this ability is still relatively low among students in class VIII of SMP Negeri 2 Padang. One solution to support the growth of these skills is to use the Think Talk Write (TTW) collaborative learning model. The aim of the research was to see whether this skill increases when implemented TTW in clas VIII SMP Negeri 2 Padang. Type of research is a quasi-experimental study without an appropriate post hoc pure control group. Use of mathematical communicative competence test equipment and descriptive quizzes. Data analysis shows that classroom learning using the TTW model outperforms in-person learning. and experienced a significant increase. Keywords–Cooperative Learning, Direct Learning, Mathematical Communication Skills, Think Talk Write .