Reviewerly/exHarmony huggingface dataset:
Sistem Informasi Promosi Wisata dengan Teks Informasi Bahasa Inggris Berbasis Web di Daerah Wisata Bukit Lawang, Kecamatan Bahorok, Kabupten Langkat, Provinsi Sumatera Utara

This community service for the Application of Appropriate Technology aims to solve one of the problems faced by tour guides who are members of service partners, namely the DPC Indonesian Tour Guide Association (HPI), Bukit Lawang Secretariat. The problem faced by the Bukit Lawang HPI Secretariat DPC is that it does not yet have a website with English content, so it has not been able to provide solutions to improve the economy of its members. Another problem is that the guides who are members of the Bukit Lawang HPI Secretariat have never received training in using the Web. With the development of a Web-based information system, it is expected that tour guides will find it easier to market tourism services in their area. The method used is to provide training on the use of Web-based information systems with content in English. This training provides guide skills in managing the website easily and updating content dynamically at any time. As a result of this dedication, tour guides have been able to use the Web to fill in content according to the desired information so that tour guides can improve their economy.
Hierarchical Set-to-Set Representation for 3-D Cross-Modal Retrieval

Three-dimensional in-domain retrieval has recently achieved significant success, but 3-D cross-modal retrieval still faces problems and challenges. Existing methods only rely on a simple global feature (GF), which overlooks the local information of complex 3-D objects and the connections between similar local features across complex multimodal instances. To tackle this issue, we propose a hierarchical set-to-set representation (HSR) and a corresponding hierarchical similarity that incorporates global-to-global and local-to-local similarity metrics. Specifically, we employ feature extractors for each modality to learn both GFs and local feature sets. We then project these features into their respective common space and use bilinear pooling to generate compact-set features that maintain the invariant for set-to-set similarity measurement. To facilitate effective hierarchical similarity measurement, we design an operation to combine the GF and the compact-set feature to generate the hierarchical representation for 3-D cross-modal retrieval, which preserves hierarchical similarity measurement. To optimize the framework, we adopt the joint loss functions, including cross-modal center loss (CMCL), mean square loss, and cross-entropy loss, to reduce the cross-modal discrepancy for each instance and minimize the distances between the instances in the same category. Experimental results demonstrate that our method outperforms the state-of-the-art methods on the 3-D cross-modal retrieval task on both ModelNet10 and ModelNet40 datasets.
Empathy by Design: The Influence of Trembling AI Voices on Prosocial Behavior

Recent advances in artificial speech synthesis and machine learning equip AI-powered conversational agents, from voice assistants to social robots, with the ability to mimic human emotional expression during their interactions with users. One unexplored development is the ability to design machine-generated voices that induce varying levels of “shakiness” (i.e., trembling) in the agents' voices. In the current work, we examine how the trembling voice of a conversational AI impacts users' perceptions, affective experiences, and their subsequent behavior. Across three studies, we demonstrate that a trembling voice enhances the perceived psychological vulnerability of the agent, followed by a heightened sense of empathic concern, ultimately increasing people's willingness to donate in a prosocial charity context. We provide further evidence from a large-scale field experiment that conversational agents with a trembling voice lead to increased click-through rates and decreased costs-per-impression in an online charity advertising setting. These findings deepen our understanding of the nuanced impact of intentionally designed voices of conversational AI agents on humans and highlight the ethical and societal challenges that arise.
A Novel Text Classification Model Combining Time Correlation Principle and Rough Set Theory

This research aims to design a literary text feature classification and information extraction model based on the principle of temporal association and rough set theory. We put forward a new text classification method through the in-depth study of time series correlation principle algorithm and text classification technology based on rough set theory. First, we propose to use the lexical space feature vector as the input channel of the rough set model to extract literary sentence-level features according to the spatial relationship between words. Secondly, aiming at the problem of low efficiency of KNN text classification algorithm, we propose a KNN literature text classification algorithm based on rough set approximation set, which significantly improves classification efficiency while ensuring classification accuracy. The effectiveness of the algorithm is proved by experiments, and it promotes the progress of rough set theory in practical application research. In addition, we propose an improved attribute reduction algorithm in the process of literary text classification by combining feature selection, information extraction, and the correlation of feature items generated by text description and the evaluation criteria of rough set itself. This algorithm makes the reduced attribute set more important, and then improves the text recognition rate. Through comparative experiments, it is proved that our improved method increases the number of applicable texts by 12.86%, and the improvement effect is good. In summary, our model combines the temporal correlation principle with rough set theory, and provides a new method for feature classification and information extraction of literary texts. Our results demonstrate that the method is able to achieve better classification results when applied to collections of literary texts.
Robot Unknown Objects Instance Segmentation Based on Collaborative Weight Assignment RGB–Depth Fusion Strategy

Unknown objects instance-aware segmentation (UOIS) is crucial for the operation of autonomous robots, especially in unstructured scenes with unknown objects. As the primary data source types for robots, RGB and Depth are not fully exploited by existing studies due to the inherent information differences between RGB (2-D appearance) and Depth (3-D geometry). Therefore, it is challenging to fully exploit the features of both modalities to achieve segmentation for instances of unknown objects. This article proposes a collaborative weight assignment (CWA) fusion strategy for fusing RGB and Depth (RGB-D). It contains three carefully designed modules, motivational pixel weight assignment(MPWA) module, dual-direction spatial weight assignment (DSWA) module, and stepwise global feature aggregation (SGFA) module. Our method aims to adaptively assign fusion weights between two modalities to exploit RGB-D features from multiple dimensions better. On the popular Graspnet-1Bilion and WISDOM RGB-D robot operation datasets, the proposed method achieves competitive performance with state-of-the-art techniques, proving our approach can make good use of the information between the two modalities. Furthermore, we have deployed the fusion model on the AUBO i5 robotic manipulation platform to test its segmentation and grasping optimization effects oriented to unknown objects. The proposed method achieves robust performance through qualitative and quantitative analysis experiments.
Digital tools for the development of students' information literacy and critical thinking

The collection contains the materials of reports presented at the webinar for teachers and scientific and pedagogical workers "Digital tools for the development of information literacy and critical thinking of students" within the framework of the Fifteenth International Exhibition "Innovation in Modern Education" on October 26, 2023. Issues related to digital solutions for teachers and students that can be used in the classroom are outlined. The experience and best practices of creating a safe digital educational environment in general secondary education institutions are presented, and the features of distance learning during the war are presented. The practical experience of using ICT in foreign countries is highlighted. The practical developments of the international pedagogical community regarding the use of ICT in professional education and in improving the qualifications of teachers are presented. For teachers, scientists, managers, teachers, doctoral students, graduate students, students, and the general pedagogical community. Materials are published in the author's editorial office. The authors are responsible for the accuracy of the information provided.
The Implications of Screentime for Children’s Health in Online Learning at 59 Siguntu Elementary School, Palopo City

As a result of too long screen time, it could make students sluggish, obesity and various non-communicable diseases, as well as risks related to eye health and social emotional development. This study aimed to systematically identify the impact of the screen time on students’ health in online learning. The research used qualitative research methods through a phenomenological approach. Data collected with focus group discussions (FGD) and in-depth interviews. FGD were conducted on 10 students. In-depth interviews were carried out on ten key informants, students in grades III to VI that constantly utilize cellphones, five ordinary informants, which were students’ parents. The results showed that the impact of screen time on students in physical healths are ocular fatigue, itchy, sore and stiffed hands while using or holding the gadget screen for too long, but from a social perspective, it is not so influential because students tend to prefer playing with school friends compared to playing gadgets at home. In terms of implications for student behavior, there are some affections on their health, as if their irregular sleep time at night due to watching shows or movies that are considered fun, but in the term of the affective health, it has no significant effect by observing their actions are still as usual. Also, there are no showed frontal actions or habits that breaking the norm, and they can still enjoy playing time with their friends. Based on the results of the research obtained, it concluded that the implications of screen time on students’ health can be reduced or prevented by leading the student’s learning to be more active in field activities like playing with their friends, so the tendency to play on cellphones can be reduced and bring over to prevent the bad affections of screen time on students’ health in SD 59 Siguntu. Therefore, the growth and development of the students can be optimized without any disturbances that must be faced during their development.
Towards a Shared Framework: A Classificatory Matrix for Teaching Data Standards

Standards for research data can be a mystifying topic for both researchers and data professionals.&amp;nbsp; A common source of confusion is that they are multipurpose: standards can (and should) be applied to both primary data and metadata, enabling a wide range of functions from the search features in a repository to the integration of disparate data sources. This paper reviews examples of classificatory approaches used by both librarians and researchers to describe data standards. This literature is synthesized into a classificatory matrix that can be used to map different types of standards. The matrix is constructed around two organizing principles: purpose (finding or using data) and type of information controlled (meaning or syntax). The objective of this classificatory exercise is to encourage further discussion about the misunderstandings between researchers and data support professionals and to spur further development of the educational resources needed to improve understanding and use of data standards.
Figural creativity of dyslexic and non-dyslexic in indonesia children sample

Children who have difficulties in writing and reading are called dyslexia. This disorder is caused by neurobiologis disorder that bring a problem in language cognitive domain, however some research states that dyslexic children often have better other cognitive domain abilities than children in general, for instance, intelligence level, talent, and etcetera. That is why the researcher compares figural creativity level of dyslexic children and non-dyslexic children. Figural creativity is applied because dyslexic children undergone problem in language thus they do not use verbal creativity. This study employed ex post facto research design and the subject were 8 students that consisted of 4 dyslexic children and 4 non-dyslexic children. Caloured Progressive Matric test was used to measure creativity level. The result shows that there is no differences between creativity level of dyslexic students and non- dyslexic students. It can be seen when children have similar average intelligence, they have the same average level of creativity. It also supported by creativity theories which states that creativity is formed by individual cognitive factor.
Digitalisasi Arsip Dokumen Pegawai RSUD Prof. Dr. Soekandar Kabupaten Mojokerto

Handling the management of Prof. dr. Soekandar Hospital Personnel Documents. with the high volume of employee documents managed. From this, several obstacles were encountered in the process of searching for employee documents, pension projections, projected salary increases and employee recapitulation. For that, we need an information system that can handle these problems. The activities carried out aim to provide an overview of procedures for digitizing archives by considering various aspects of decency, so as to guarantee storage efficiency and ease of access to archives (accessibility).
Penerapan Teknologi Mesin Bordir Otomatis Sebagai Daya Saing Usaha Konveksi Bordir Indah Collection

The implementation of automatic embroidery machines is an alternative that can increase the effectiveness and efficiency of the production process carried out by the Indah Collection Embroidery Convection. In practice, it discusses the application of automatic embroidery machine technology and the competitiveness of the Indah Embroidery Convection business. The method in this paper is based on a video that discusses the application of machine embroidery technology. The application of an automatic embroidery machine is divided into several stages: the initial stage, the production stage, the finishing stage. The results of the discussion found that the application of automatic embroidery machine technology is more widely used than manual embroidery machines and raises the competitiveness of embroidery convection businesses using both automatic and manual embroidery machines.
Analisis Sentimen Mengenai Kualitas Layanan Jasa Ekspedisi Shopee Xpress Pada Media Sosial Twitter

Technological advances in Indonesia has developed rapidly so that it cannot be separated from people's lives. This technological advancement has had a significant impact on e-commerce and increased usage of delivery services. The more shipping services available, the tighter the competition will be, so the freight forwarders must prepare well if they want to survive in this business competition. Shopee Xpress is one of the expedition services in Indonesia which was developed directly by Shopee so that every package that uses this expedition will be sent and handled directly by the official team from Shopee. However, many customers complain about Shopee Xpress expedition services regarding late delivery, untracked, damaged or lost packages and unfriendly employees. This study aims to understand consumer opinion on the quality of Shopee Xpress services on Twitter using positive and negative sentiments. Research data was collected for 3 months from 01 November 2022 to 30 January 2023. The data obtained was then processed using the Naïve Bayes Classifier algorithm with a sentiment analysis method based on the dimensions of service quality. The word cloud is used to describe the words that appear most frequently in each dimension of service quality based on their sentiments. The results show that the model produces an accuracy value of 86.33% which indicates that the model has described the accuracy of the data properly and is valid. Negative sentiment dominates consumer opinion regarding Shopee Xpress with the reliability dimension being the most discussed. Furthermore, based on word cloud visualization, there are several things that consumers often complain about in each dimension as a material for consideration to improve the quality of Shopee Xpress services. The results of research related to Shopee Xpress consumer opinion on Twitter social media can be used by the company as material for consideration to improve and improve the quality of services provided in order to maintain customer loyalty.
Brand Positioning untuk Keunggulan Bersaing pada Aplikasi Transportasi Online Menggunakan Sentiment Analysis (Studi pada: Go-Jek dan Grab)

The development of technology and information in the industrial revolution 4.0 an impact on the increasing number of internet users. Social media is a place to express opinions, share and receive information in a short time to produce User Generated Content (UGC). Not only individuals, but companies also use social media to interact with their customers to understand the company's position in the eyes of customers. Through brand positioning on social media, companies can compare with competing companies to measure their competitive advantage on social media. This study aims to determine the brand positioning and competitive advantage of the top brands of online transportation applications in Indonesia, namely Go-Jek and Grab via Twitter. The method used in this research is a mixed method. This study obtained data through crawling data on Twitter using RStudio version 4.2.2 software. The data processed in this study is UGC in the form of tweets with the keywords "goride" and "grabbike" which are products of each online transportation brand. Data collection in this study was carried out from November 1 2022 to November 30, 2022. Then the data was processed using sentiment analysis and text visualization using Wordcloud to analyze what topics are frequently discussed by users. The results show the position as well as the advantages and disadvantages of each online transportation application.
The Role of Literature Education in the Posthuman Era: Reading Death of a Salesman

The purpose of this study is to explore the necessity of literature education in the post-human era where uncertainty is amplified due to the rapid development of science and technology. What is fundamentally necessary in a rapidly changing reality that exceeds the capacity of human consciousness? It involves introspection on the meaning of human life and existence. This is because what can lead the future society in a desirable direction, which is difficult to predict, is ultimately related to human ethical duty. One possible way is through reading literature that encompasses human life. Literature has secured the resources of stories that were difficult for mankind to imagine or guess over countless times, gained persuasive power, and expanded its scope enough to prepare for the shock of a rapidly changing reality. In this context, this study aims to examine the need to reconsider the role of literature education. It does so by introducing aspects of a literature class, particularly focused on Death of a Salesman, conducted as a liberal arts course at a 4-year university in Seoul. This is in response to the reality that the position of literature has been narrowed even within the university curriculum.
Factors Affecting Speaking Proficiency in English Language Learning: A general overview of the speaking skill

For effective communication, speaking abilities must be developed and improved. One of the most complicated aspects of learning a new language is gaining speaking proficiency, which is commonly considered difficult. Many people learning a language encounter difficulties expressing their ideas and thoughts verbally. Individuals frequently need help with expressing themselves clearly in a foreign language. Individuals cease verbal communication when they encounter psychological obstacles or exhaust their repertoire of suitable linguistic formulations. Proficiency in spoken English is a vital requirement in today's modern communication and media landscape. This study aims to illustrate the significance of focusing on the factors that impact the speaking proficiency of those learning English as a second language. This review paper provides an overview of the existing body of research on speaking, its significance, the features of speaking performance, difficulties related to speaking, and factors that can influence speaking performance. The literature review indicated that learners prioritize and require increased attention to effective instruction in speaking skills. The findings of this study have the potential to inform educators and researchers about the speaking demands that English language learners face within the domain of English language instruction and acquisition.
Penilaian Indeks Kinerja Sistem Irigasi (Studi Kasus Daerah Irigasi Cirompang Kabupaten Garut Jawa Barat)

Irrigation is an effort to provide, regulate and distribute irrigation water. The Cirompang Irrigation Area is located in Bungbulang District, Garut Regency, West Java Province, with a functional area of 847 Ha, covering the service area of 4 (four) villages, namely Cihikeu Village, Bungbulang Village, Margalaksana Village and Hanjuang Village, Bungbulang District. The location of the Cirompang Irrigation Area Weir is in the village of Cintarasa, Samarang sub-district. The availability of water in the upstream, downstream and main network areas during the planting season I to planting season III is felt to be sufficient but in the middle areas the availability of water is reduced or it can be said to be non-existent due to reduced water potential and there are damaged irrigation networks and accumulation of sedimentation which results in obstruction of water flow. The Cirompang secondary canal experienced moderate to moderate damage, there was accumulation of mud or sedimentation which affected the flow of water and besides that there was also a lack of personal O&amp;M officers in the field such as irrigation officers, weir operation officers, water gate officers and workers who have so far relied on participation. water user farmers (P3A/GP3A). The research method was carried out by direct observation in the field, interviews and secondary data analysis. Calculation of the real need for operation and maintenance is needed to determine the O&amp;M funding and priority recommendations proposed to increase the value of irrigation system performance appraisal (IKSI). The results of the IKSI assessment for the Cirompang irrigation area, the combined index value is in the bad criteria, namely with a weight value of 48.14%, meaning that the irrigation network requires rehabilitation of the irrigation system and needs immediate treatment. 117,626,150.00 In addition, O&amp;M financing in Cirompang for the last 3 years is still far from ideal conditions, namely an average of only 10% of AKNOP. Efforts to increase the water discharge, it is suggested for the Public Works and Spatial Planning Office of Garut Regency is to increase the budget allocation, empower the participation of water-using farmers and rehabilitate irrigation networks.