Reviewerly/exHarmony huggingface dataset:
IDENTIFICATION OF ANTHROPOGENIC MATERIALS IN LAKE CIBURUY SEDIMENTS USING PHYSICO-CHEMICAL PROPERTIES AND POLLUTION INDEX

Lake Ciburuy area is highly impacted by a wide range of human activities, including residential areas, rice fields, animal husbandry, plantations, dense vehicular traffic, and various industries, leading to the accumulation of pollutants. Particulates generated by the anthropogenic activities will be carried away and settle with the eroded soil to become sediment in the lake. This could cause serious problems in the aquatic environment if there is no monitoring study. Therefore, this study aimed to identify the anthropogenic material produced by human activities using physical and chemical properties analyses and pollution index calculations. The analysis of physical properties showed that Electrical Conductivity (EC), Total Dissolved Solid (TDS), and magnetic susceptibility were within the range of 30 – 790 µS/cm, 29 – 555 mg/L, 7.310 – 3431.956 ×10-8 m3/kg, respectively. The X-ray diffraction (XRD) and the hysteresis parameter indicated that the samples contain ferrimagnetic materials, particularly magnetite with a mixture of Pseudo-Single Domain (PSD) and Multi-Domain (MD). The Scanning Electron Microscope (SEM) and Energy Dispersive Spectroscopy (EDS) identified the morphology of the magnetic mineral with different shapes, such as octahedral and spherule. Furthermore, the spherule shape indicated the presence of anthropogenic materials in the sample. In terms of chemical properties, this study measured the pH and Potential Toxic Elements (PTEs) in the sediments. The pH ranged from 7.2-8.9, while the PTEs showed moderate to very severe levels of contamination by Mn, Pb, Zn, Cd, and Cu, which exceeded the sediment quality standard. The PCA reveals the interconnection between physical and chemical properties, which can identify pollutants derived from anthropogenic materials, as well as indicate low, medium, and high levels of pollution in the lake area.
Development of Literary Competence Through a Semiotic Approach and Technological Resources

Currently, literary competence is scarcely addressed in secondary education teaching. Therefore, the objective of this study was to design a didactic proposal to improve literary competence through a semiotic approach and technological resources in secondary school students of an educational center located in the city of Lambayeque. The research was quantitative, non-experimental and descriptive-propositive design. The instrument used was the "Likert scale to evaluate literary competence", which was applied to a sample of 32 fifth grade students, selected by non-probabilistic sampling. As a result, it was obtained that the students presented low levels of achievement, since 100% of them only evidenced beginning processes. In response to this problem, a didactic proposal for the comprehension and production of narrative discourse was designed and validated from a semiotic perspective using ICT resources. We conclude on the importance of the contributions in the area of communication, which can integrate didactics with technology, contributing to the pedagogical processes for current generations and educational systems of the globalized world.
Clear Sky Global Surface Solar Irradiance Estimation from Bird &amp; Hulstrom Radiometric Model/MODIS Atmospheric Data Combination

Estimation of solar irradiance received on the ground is essential in many solar energy applications, particularly those relying on concentrating solar technologies. In this work, we propose a model to estimate the spatial distribution of global Surface Solar Irradiance (SSI) from a Bird &amp; Hulstrom radiometric model/MODIS atmospheric data combination. The theoretical model selected is the radiometric model of Bird &amp; Hulstrom, and it has been modified to take into account the effect of the atmosphere by adding a transmittance function that obeys the Beer-Lambert law, implemented with atmospheric parameters (water vapor, ozone, aerosols, etc.) from the Moderate Resolution Imaging Spectroradiometer (MODIS) atmospheric products. The effectiveness of the proposed methodology is tested on the Algerian territory. The obtained results show that the proposed approach concurs with results provided by the tested Meteosat data-based method while providing SSI maps of better spatial resolution. Moreover, the obtained solar irradiances show a root mean square error of about 140 Wh.m-2 in comparison with the Copernicus Atmosphere Monitoring Service (CAMS) radiation extracted from the Solar Radiation Database for the environment (SoDa) server.
Analysis of the Technology Acceptance Model for Paid E-Learning Applications during the Covid-19 Pandemic

The aim of this research is to analyze student perceptions of the use of e-learning platforms in learning. The type of research used is descriptive quantitative. The sample in this research was 57 students from the information technology study program in 2020. The data collection technique in this research uses a questionnaire. The data analysis technique uses simple and multiple regression analysis with the help of the Statistical Product for Servicer Solution (SPSS) 21 program. Based on research results from the questionnaire on convenience variables and usefulness variables, then it can be seen that the research results show that the t count is greater than the t table value, the t table value is 2.060 and the t count value is 10.663 for the convenience variable and 7.478 for the usefulness variable. So t count &gt; t table and each independent variable has a significant value &lt; 0.05. As for the results of multiple linear regression analysis, it was also found that the independent variables simultaneously had a positive effect on the dependent variable and were assessed as significant &lt;0.05. This indicates that there is a positive influence of the convenience factor and the usefulness of using e-learning by students in participating in learning during the Covid-19 pandemic.
A Study on Step-by-Step Teaching Plan for "Pogurak" Play Activity in the Creative Area through the Integration of Music and Other Subjects: Focusing on the 4th Grade Elementary School Students

The newly published 2022 revised music curriculum respects students'&#x0D; emotions and emphasizes their self-direction and creativity to enjoy music on&#x0D; their own. Especially, compared to the 2015 revised music curriculum, it is&#x0D; noteworthy that creationhas been newly added in the music field to guide&#x0D; various creative activities within the music subject. Therefore, it is expected&#x0D; that various creative activities linked to the music curriculum will become&#x0D; more active in schools in the future.&#x0D; This study attempts to present a step-by-step teaching plan for the play&#x0D; activity of Pogurak, through the integrated instruction of music and other&#x0D; subjects, which is a court dance piece covered in the elementary school music&#x0D; textbook. So far, various researches related to the court dance covered in the&#x0D; music textbook have been conducted. However, it is difficult to find research&#x0D; regarding teaching play activity in a classroom setting centering on the&#x0D; creation linked to other subjects. Accordingly, a play method applicable to&#x0D; teaching Pogurak in the creative area was designed for the 4th grade&#x0D; elementary school students, and the corresponding activities and instruction&#x0D; plans were devised.&#x0D; Afterwards, step-by-step creative play activities based on the dance&#x0D; movements used in Pogurak were directly incorporated into the class with&#x0D; the students, and it was confirmed that the students were participating in&#x0D; learning with a more active and positive attitude than when they learned&#x0D; Pogurak as a simple appreciation activity. This study confirms that if play activities linked to Korean traditional music&#x0D; education are effective enough to be used practically in school settings, it can&#x0D; be a medium for students and teachers to easily and familiarly access to&#x0D; Korean traditional music. Through this study, we expect not only to provide&#x0D; educational basic materials that help teachers become interested in Korean&#x0D; traditional music and easily teach it, but to provide meaningful educational&#x0D; experiences to students, helping them enjoy Korean traditional music in their&#x0D; daily lives and establish a proper understanding and identity of our Korea&#x0D; culture.
Internet Archeology: an example of a revitalised molecular resource with a new activity now built in.

In Internet terms, 23 years ago is verging on pre-history. Much of what was happening around 1997 on the Web was still highly experimental and so its worth taking a look at some of this to see how it has survived or whether it can be “curated” into a form that would still be useful.
Evaluation of neural response recorded using scalp EEG in virtual reality environment

With the recent development of virtual reality technology, sensory information in virtual space could be a candidate for experimental stimuli in the field of cognitive neuroscience. Specifically, auditory and tactile stimuli, which is spatiotemporally synchronized to visual information of the space and body delivered using a head-mounted display (HMD), can be presented in controlled way using headphones, tactile stimulators (e.g. Kanayama et al., 2019), etc.. During such a sensory stimulus presentation, we could measure any neuronal responses, and realize cognitive neuroscience study in the experimental setting impossible in real world. Such a method involves fixing the HMD to participant's head and using the actuator near participant's body, which suggests possible contamination of greater noise to recorded neuronal responses compared to that in experiments without virtual reality. In the case of high-density EEG measurements on the scalp, there should be interference to the electrodes from the fixation band of HMD to the participant's head, electromyogram (EMG) noise induced by participant's head movements, and noise emitted by the HMD device itself.
Classwise Self-Paced Self-Training for Semi-Supervised Image Classification

In recent years, self-training has become more and more popular in model learning because it only requires a small amount of labeled data to reach high classification accuracy. Since the conventional self-training does not perform in a class-specific manner, class imbalance problem happens frequently as self-training tends to select more pseudo labeled samples from easy classes. It becomes even worse when training dataset is originally class-imbalanced. In this paper, classwise self-paced self-training is proposed to solve this problem. A classwise pseudo-labeling method ensures that sufficient data are selected for each class in a self-pace manner. To avoid increasing number of noisy samples, two indicators, confidence score and uncertainty score, are proposed based on dropout prediction for noisy label filtering. Experimental results demonstrate that the proposed method achieves very competitive performance on CIFAR-10 and ISIC2018 datasets. Keyword: Deep Learning, Image Classification, Semi-Supervised Learning, Self-Training
Task-Specific Pruning: Efficient Parameter Reduction in Multi-task Object Detection Models

This study explores the optimization effect of task-specific pruning in object detection models. Object detection models are designed to handle classification and regression tasks, which are fundamentally distinct. However, the relationship between these two tasks, particularly regarding loss calculation, remains an unresolved issue in both model training and pruning. To address this, we propose a task-specific pruning method that combines the advantages of pruning-during-training with established sparsity learning techniques. Through our experiments, we demonstrate that task-specific pruning is the most effective approach for reducing parameter count while maintaining high accuracy in multi-task deep neural networks, across different configurations. Specifically, when applied to the Scaled-Yolov4-p5 model using the MS COCO 2017 dataset, our approach achieves a target sparsity of 90% with only a marginal 1% drop in mAP.
Target Speaker Extraction with Attention Enhancement and Gated Fusion Mechanism

The objective of a target speaker extraction system is to extract the speech of the target speaker from a mixture of multiple speakers and noises using a certain amount of additional information of the target speaker. In this paper, we investigate the improvements of the baseline system by incorporating the light-weight CBAM module in the target extractor, and the gated fusion module (GFM) in the fusion layer. The CBAM introduces attention enhancement to baseline model with no significant increase in the number of parameters and complexity, and the previous concatenation-based fusion method used for speaker embedding and input mixture (or intermediate output) is replaced by GFM, enabling the model to better leverage the supplementary information provided by speaker embedding. Experimental results on datasets built from WSJ0-2mix and WHAM! demonstrate that both the CBAM module and the light-weight GFM module individually improve the model performance, and the GFM module shows better improvement on WHAM!. However, the combination of these two modules only exhibits mutually beneficial effects on the clean dataset WSJ0-2mix, while the performance of the combined module on the noisy dataset WHAM! is inferior to that of using the GFM module alone.
A Study on Learning Control of Mobile Robot with Three Wheel Based on Voice Recognition for Smart Factory

This study proposed a new approach to learning control of a mobile robot system with three wheel based voice recognition for smart factory. The motion control technology was applied by back propagation based on multi-layer neural network. A experiment result has been given in which some artificial assumptions about the linear and the angular velocities of mobile robots from recent literature are dropped. In this study, we proposed a new approach to real time control of the position and velocity for mobile robot system. The simulation results were proposed, which confirmed the effectiveness of the proposed control algorithm. Moreover, practical experimental results of the real time control were reported with several real line constraints for mobile robots with three wheels.
Statistical characteristics of comic panel viewing times

Abstract Comics are a bimodal form of art involving a mixture of text and images. Since comics require a combination of various cognitive processes to comprehend their contents, the analysis of human comic reading behavior sheds light on how humans process such bimodal forms of media. In this paper, we particularly focus on the viewing times of each comic panel as a quantitative measure of attention, and analyze the statistical characteristics of the distributions of comic panel viewing times. We create a user interface that presents comics in a panel-wise manner, and measure the viewing times of each panel through a user study experiment. We collected data from 18 participants reading 7 comic book volumes resulting in over 99,000 viewing time data points, which will be released publicly. The results show that the average viewing times are proportional to the text length contained in the panel’s speech bubbles, with a rate of proportion differing for each reader, despite the bimodal setting. Additionally, we find that the viewing time for all users follows a common heavy-tailed distribution.
Comparative study of SPI success factors in global and in-house environment for large-scale software companies

Background Software process improvement (SPI) is an indispensable phenomenon in the evolution of a software development company that adopts global software development (GSD) or in-house development. Several software development companies do not only adhere to in-house development but also go for the GSD paradigm. Both development approaches are of paramount significance because of their respective advantages. Many studies have been conducted to find the SPI success factors in the case of companies that opt for in-house development. Still, less attention has been paid to the SPI success factors in the case of the GSD environment for large-scale software companies. Factors that contribute to the SPI success of small as well as medium-sized companies have been identified, but large-scale companies have still been overlooked. The research aims to identify the success factors of SPI for both development approaches (GSD and in-house) in the case of large-scale software companies. Methods Two systematic literature reviews have been performed. An industrial survey has been conducted to detect additional SPI success factors for both development environments. In the subsequent step, a comparison has been made to find similar SPI success factors in both development environments. Lastly, another industrial survey is conducted to compare the common SPI success factors of GSD and in-house software development, in the case of large-scale companies, to divulge which SPI success factor carries more value in which development environment. For this reason, parametric (Pearson correlation) and non-parametric (Kendall’s Tau correlation and the Spearman correlation) tests have been performed. Results The 17 common SPI factors have been identified. The pinpointed common success factors expedite and contribute to SPI in both environments in the case of large-scale companies.
Incorporation of Creativity in English Writing Materials of Seventh Graders

The research aimed to investigate the incorporation of creativity in writing materials for seventh graders. To achieve quality education for junior high school, teachers and school leaders must provide effective learning materials focusing on curriculum objectives and students’ skills. Besides, creativity was a skill in Profil Pelajar Pancasila that must be implemented in every learning subject. The research applied a qualitative method. Therefore, the respondents were teachers in four junior high schools from Jakarta, Bogor, Depok, Tangerang, and Bekasi area, especially Bogor, Depok, and Bekasi. In-depth interviews were gathered to explore the information on learning materials used by teachers. Moreover, it was also to explore the type of creativity taught through writing materials. The result shows creativity in learning materials lay in phase while-writing. Then, descriptive text is the most genre to support students' creativity, especially on topics of family, friends, personal information, and neighborhood. Therefore, future design of creativity-incorporated writing materials needs to be carried out supporting other phases of writing using updated learning media.
Fostering the Love of Reading: Dynamics and Sustainability of Book Clubs in Indonesian Universities

The research aimed to reveal the dynamics of the book clubs that the researchers started with and for Indonesian EFL (English as a Foreign Language) students at the university level, as well as the club's impacts on students' learning. Book clubs were essential in nurturing students' reading habits as a community. Studies found that book club activities affected one’s engagement in reading by giving readers the voice, room to participate actively, social support, and the choice to decide what they read. Indonesian university students in the EFL context faced reading engagement issues; the researchers initiated book clubs with the unified mission of growing students' love of reading and forming good reading habits. The research reported a qualitative study of a group of Indonesia Extensive Reading Association (IERA) members sharing reflections on establishing and managing book clubs or literature circles in six universities in Indonesia where the researchers taught. The data of participants' reflections were gathered and analyzed iteratively to find common themes or patterns. As a result, the research finds that the book club activities have fostered the love of reading and inferred the empowerment of collaboration, communication, creativity, and critical thinking. The research also reveals that in setting up a book club at the university level, the support of the university and the readers' community and extended networks are needed. For a book club to sustain itself, four aspects must be considered: participants' involvement, product-oriented activities, voluntarism of participants, and rewards.
A TAXONOMY OF UNIVARIATE ANOMALY DETECTION ALGORITHMS FOR PREDICTIVE MAINTENANCE

Anomaly detection has a wide variety of applications, ranging from intrusion detection in cybersecurity to fraud detection in finance. Among the most prominent applications is predictive maintenance in manufacturing, which involves performing maintenance only when truly necessary, based on the condition of relevant equipment instead of following a fixed maintenance schedule. When implemented correctly, predictive maintenance can lead to more significant cost savings than other preventative maintenance approaches. Unfortunately, the unique challenges present in anomaly detection (including the very broad definition of an anomalous instance) make it particularly difficult to choose an appropriate algorithm, since each algorithm’s performance is so dependent on the use case. In this paper we present an up-to-date taxonomy of univariate anomaly detection approaches to predictive maintenance, which is aimed at aiding practitioners to design effective predictive maintenance models for their specific use cases, based on numerical benchmark tests.
Ekranisasi Novel Keluarga Tak Kasat Mata karya Bonaventura Genta ke Film Keluarga Tak Kasat Mata Sutradara Hedy Suryawan sebagai Materi Pembelajaran Teks Ulasan di SMP

This research was motivated because it did not meet expectations with the emergence of very prominent differences that were far from the reader's imagination before the novel was filmed. The objectives of this study are: (1) To obtain the form that occurs in the ecranization of characters in the novel and film Keluarga Tak Kasat Mata and to produce review text learning materials in junior high school. This study used a qualitative descriptive research design using a comparative descriptive research method. The sources of data in this study are the novel Keluarga Tak Kasat Mata by Bonaventura Genta and the film Keluarga Tak Kasat Mata by Hedy Suryawan. The data of this research are in the form of phrases, sentences, and parts that contain additions, contractions, changes in variations. The data collection used is a read-listen-note technique. The results showed that the most common form of ecranization was the shrinkage aspect. Learning materials developed from the forms of ecranization can be applied to KD 3.11 and 4.11 class VIII SMP regarding review texts.
Question for the day &amp;#8211; Einstein, special relativity and atomic weights.

Sometimes a (scientific) thought just pops into one’s mind. Most are probably best not shared with anyone, but since its the summer silly season, I thought I might with this one. Famously, according to Einstein, m = E/c^^2, the equivalence of energy to mass. Consider a typical exoenergic chemical reaction: A → B, ΔG -100 kJ/mol.
Exploiting the power of persistent identifiers (PIDs) for locating all kinds of research object.

The folks at DataCite have announced a new research object discovery service which aims to give users a “ &lt;i&gt; comprehensive overview of connections between entities in the research landscape” &lt;/i&gt; . The portal https://commons.datacite.org acts as the entry point for three basic types of persistent identifiers (PIDs); Research works, using the DOI (digital object identifier) as a PID.