Reviewerly/exHarmony huggingface dataset:
WAYANG KULIT AS A WORLD ATTRACTION FOR YOGYAKARTA TOURISM: A STUDY OF WAYANG KULIT PERFORMANCES IN KRATON YOGYAKARTA

Wayang Kulit (leather shadow-puppet play) is one of Indonesia's original cultures that was included in the UNESCO Intangible Cultural Heritage. The Ngayogyakarta Hadiningrat Palace, the center of cultural arts in Yogyakarta, regularly shows wayang kulit performances as cultural arts performances. Wayang kulit performances at the Yogyakarta Palace were held every Thursday from 10.00 - 13.00 WIB in Bangsal Srimanganti of Yogyakarta Palace. By looking at the phenomenon of wayang kulit performances at the Srimanganti Palace, the researcher wants to see how far the role of wayang kulit as a global cultural heritage has become a tourist attraction in Yogyakarta. The global role of wayang kulit as a tourism attraction will be studied using the concept of 4A Tourism (Attractions, Amenities, Accessibility, Ancillary) combined with the theory of the Global Village by Marshall McLuhan. The findings show that the management of cultural tourism in the Yogyakarta Palace has successfully implemented the 4A concept in tourism. The application of this concept has had many effects on the sustainability of tourism in the Yogyakarta palace, especially wayang kulit performances. Keywords: Wayang Kulit, Puppet Show, Yogyakarta Palace, Cultural Heritage
Improving Students' Learning Outcomes in Learning English for Special Purposes through The Role-Playing Method

STIE Bina Karya students where their learning focus is not on English, but they have to take English for a Specific Purpose as one of the general subjects. Therefore, delivering English for specific purposes material requires an appropriate learning method. This research aims to describe the application of the Role-Playing Method for STIE Bina Karya students. This Class Action Research applied two cycles. The research subjects are 70 students from the first semester who were chosen randomly. This research used tests, questionnaires, and observations in collecting the data. In analyzing the data, the student's correct answer was divided by the number of items and times 100 to get the score. Research results showed that there is an increase in learning outcomes by applying the role-playing method. In the initial test, student learning outcomes is 35.73. Then in cycle I, it increased to 61.14 and increased again to 77.36 in cycle II. Questionnaire data also proved that the Role-Playing method can not only improve student learning outcomes but can also increase students' non-English study program interest in learning English for specific purposes.
Face Recognition and Actuation to Promote Smart Home Security

Internet of Things (IoT) provides the opportunity for remote sensing in a smart home. This can benefit home security. A case study was devised to remotely sense, inform and actuate. The study developed a surveillance system using Raspberry Pi and camera to detect and recognize a door caller’s face from a live video stream and compare with an existing dataset to verify whether the person was authorized. If not authorized, the remote homeowner can be alerted via an email complete with an image of the caller. Automated and user actions can be performed depending on the type of visitor. RaspController, Google Assistant and VNC were used for actuation, to perform actions like playing random music, triggering voice conversations or turning on an alarm. The recognition system was developed in Python using OpenCV and face recognition, using pre trained models for Hog detection and Haar Cascade classification. The accuracy of the detection was 66.7% for a small cohort of seven authorized people and an unauthorized class of five people. For actuation, interoperability with many smart home devices can be controlled from the smart home network, but with only limited functionality from a remote network.
EFL STUDENTS’ EXPERIENCE OF PICTURE SERIES COLLABORATIVE NARRATIVE WRITING: HIGHLIGHTING INDONESIAN VOCATIONAL HIGH SCHOOL STUDENTS’ VOICE

In education research, positive attention has been paid to the role of picture series collaborative writing methods to improve students’ writing achievement. To fill this gap, the present study applied the approach of narrative inquiry and explored how students experience collaborative narrative writing activity. Six graders from a vocational school in Central Java, Indonesia participated in this study. Data were collected through semi-structured interviews. For analyzing the data, the researcher employed thematic analysis by Brown and Clarke (2006). The result of this study showed that there were different perspectives for each participant in how they write narrative text through picture series collaboration. The finding can be a consideration for teachers who will use this media for teaching.
Applying Scanning And Skimming Techniques for Reading Comprehension Course of 6 Grade Students of Elementary School

Reading is the activity or skill of understanding written words. According to Grabe and Stoller (2002:17), “Reading comprehension as the ability of understanding and interpreting information in a text correctly which makes the readers has understood what they will read in the text. The objectives of the study are 1) to know at the students’ interest and capability in reading comprehension before being taught by using skimming and scanning techniques. 2) to know the students’ interest and capability in reading comprehension after being taught by using scanning and skimming techniques.In analyzing of this research, the writer applied the theory of scanning and skimming. According to Arundel and Study Skill Lab (1999) skimming is a strategy of rapidly moving the eyes over the text with the purpose of getting only the main idea and general overview of the content. In addition, according to Maxwell (1970), scanning is to get specific information within a text such as dates, names, places, specific dates, and details quickly. They are regarded as desirable reading skill and is taught in developing reading. In conducting this research, the researcher used class action research that consists of Reconnaissance steps for observing the situation in order to identify the problem. Then the cycle was divided into four stages; planning to choose an action and prepare teaching materials and instruments of gathering data observing, acting by teaching reading comprehension using scanning and skimming techniques and asking students to compose, observing during the action, reflecting to sort and analyze data conclude and get an evaluation to ide the next planning.The result of the 1 cycles shows that the use of scanning and skimming techniques could improve students’ interest and capability in reading comprehension. The students got improvement in finding the main idea and specific information such as name, date, price, and number from the contents rapidly by moving their eyes. The students were motivated to be active in the classroom activities. They got a better score In conclusion, this class action research shows that using scanning and skimming techniques in teaching reading is a success. Therefore, it is important for teachers, university students, and further researchers to know and apply these techniques in teaching reading
Tanslation Method and Translation Technique on the Website of Indonesia.go.id

Translation methods and translation techniques are needed to be able to translate a text well. The purpose of this study is to identify and analyze the types of translation methods and translation techniques available on the Indonesia.go.id website. To be able to conduct this research, a qualitative approach was used with a descriptive research design. The data in this study consisted of words, phrases, clauses, and sentences taken from the Indonesian and English versions of the text on the website Indonesia.go.id. Based on the analysis conducted, a total of 101 data of translation methods were found in the form of sentences, and 476 data of translation techniques in the form of words, phrases, clauses, and sentences. Of the 8 types of translation methods, 7 of them are found in this text including free translation, literal translation, communicative translation, semantic translation, adaptation, idiomatic translation, and word-for-word methods, and as many as 13 of 18 translation techniques are found including transposition techniques, literal, reduction translation technique, borrowing translation technique, established equivalent translation technique, calque technique, amplification, linguistic compression, discursive creation, modulation technique, linguistic amplification, adaptation, generalization. The most widely used translation method in this text is free translation, while transposition is the most widely used translation technique.
ANXIETY ON LISTENING COURSE AMONG STUDENTS DURING THE PANDEMIC OF COVID -19

Students had to continue learning activities at home during the pandemic, including listening classes. Unfortunately, several factors interfered with student comprehension in online courses and caused students to experience anxiety. This study aimed to identify several factors contributing to students' listening anxiety and discover strategies to overcome their anxiety in listening classes. This study included 30 students from SMPN 245 in Jakarta. To collect data, the researcher applied a descriptive qualitative method. The researcher used an interview as the instrument of this research. The researcher found that 22 participants of the interview experienced anxiety due to high-speed rate, concentration difficulties, lack of confidence, and nervousness. Other factors impacting students' comprehension are internet connections problem, noisy environments, and unsupportive devices. In this research, the researcher also provided several strategies students may employ to overcome anxiety.
Spatial Evaluation of the Heavy Metal Iron in Soil, Pond Water and its Mobility into the Muscles of Zebrafish using ICP-OES

Background: The study has a behold objectives, firstly to determine the concentration of iron (Fe) in the soil and pond water within the vicinity of a historical gold mine region located in the Kolar Gold fields (KGF), Karnataka, India. Secondly, the study seeks to investigate the process of bioaccumulation of the heavy metal, iron in the muscles of Zebrafish inhabiting the same area. Methods: To achieve the objectives, the study employed Thermo Scientific’s Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES) and ICP-AES using Iteva software to evaluate and statistically analyze the distribution of iron in the soil, pond water and muscles samples. Four soil sample sites (A, B, C and D) were selected based on their proximity to residential area. Soil samples were examined from January to December, 2022, while pond water samples were analyzed between April and October, 2022 following a southwest monsoon rain. Result: During the study, the analysis of soil samples taken from the four mine landfills revealed elevated levels of heavy metals, with the highest mean concentration of 41915.17 mg/kg found in Site A. In the pond water, sample site B exhibited an exceedingly high Fe concentration during October with 5.56 mg/L followed by sample site D, A and C with 4.89, 3.89 and 3.54 mg/L, respectively against 0.98 mg/L in the control site. The concentration of Fe in the muscles was exceedingly high in the sample site B with 10457 mg/Kg on day 30 of October to that of 8219 mg/Kg on day 30 of April month, which is far above the threshold value of 100 mg/kg as per the regulatory bodies (WHO 1993). The outcome of this experiment will facilitate the assessment of surface soil contamination levels and the likelihood of contaminants entering the aquatic environment, resulting in the bioaccumulation of heavy metals in the aquatic organisms.
COMPARISON OF CYTOLOGY OF BODY FLUIDS USING ROUTINE SMEAR EXAMINATION AND CELL BLOCK TECHNIQUE

Introduction: Body uids mainly comprises of peritoneal uid, pleural uid, synovial uid, and cerebrospinal uid (CSF). In the several inammatory &amp; neoplastic conditions, cells are exfoliated into these uids and their study help in reaching denitive diagnosis. The cell block technique is one of the senescent and complementary methods in addition to the smear for examination of body cavity effusions Aim: To study cytology of various body uid by using routine staining and cell block technique by specimens received in Department of Pathology G. R. Medical College &amp; J. A. Group of Hospitals Gwalior from December 2021 to May 2023. Material and Method: A hundred cases of serous effusion were collected from different clinical departments. At rst uid were examined for their physical characteristics. Secondly it is divided in to two halves. One half was processed by routine technique and stained using Giemsa Stain &amp; Papanicolaou stain. Remaining uid was subjected to modied cell block technique using ethyl alcohol formalin combination and processed like a histopathology sample. These uids were analysed for physical properties like the uid volume, odour, and colour. Each individual slide was objectively analysed for cellularity, cell crowding, nuclear preservation, cytoplasmic preservation, background, and the ability to make denite diagnosis on them. Routine smears and cell block were both objectively given scores according to Mair et al criteria. Results: Out of total 100 cases, 49 were pleural uid, 48 were ascitic uid and 3 were synovial uid. Maximum number of patient (19%) were in the age group of 41-50 years. On smear examination, 10/100 cases were reported positive for malignant cells. Cell block examination showed 12/100 positive cases for malignant cells. According to the scoring system, smears could obtain a maximum score of only '7' (n= 8) while cell block could secure '8' (n= 10). Two (2%) smears were unsuitable for diagnosis by smear examination and 24 (24%) smears were diagnostically superior. Cell block slides showed that 12 (12%) cases were unsuitable for diagnosis, but majority 46 (46%) cell blocks were diagnostically superior. Conclusion: Cell block increase the sensitivity of cytodiagnosis of serous uids with main advantage of getting many sections for special stains and other ancillary techniques, especially immunohistochemical studies.
SIM-CNN: Self-supervised Individualized Multimodal Learning for Stress Prediction on Nurses Using Biosignals

Precise stress recognition from biosignals is inherently challenging due to the heterogeneous nature of stress, individual physiological differences, and scarcity of labeled data. To address these issues, we developed SIM-CNN, a self-supervised learning (SSL) method for personalized stress-recognition models using multimodal biosignals. SIM-CNN involves training a multimodal 1D convolutional neural network (CNN) that leverages SSL to utilize massive unlabeled data, optimizing individual parameters and hyperparameters for precision health. SIM-CNN is evaluated on a real-world multimodal dataset collected from nurses that consists of 1,250 h of biosignals, 83 h of which are explicitly labeled with stress levels. SIM-CNN is pre-trained on the unlabeled biosignal data with next-step time series forecasting and fine-tuned on the labeled data for stress classification. Compared to SVMs and baseline CNNs with an identical architecture but without self-supervised pre-training, SIM-CNN shows clear improvements in the average AUC and accuracy, but a further examination of the data also suggests some intrinsic limitations of patient-specific stress recognition using biosignals recorded in the wild.
The Influence of Duolingo Application to EFL Classroom Students’ Motivation in Learning English

The advancement of technology have triggered the development of English language learning application. The massive use of smartphones is one of the factors in the emergence of the ELL application. This study aims to investigate the influence of Duolingo application to EFL students. This research is using quantitative method even though the data that had been collected from questionnaire, which used Likert Scale, were analyzed and interpreted using qualitative style. The results show that most of the students have positive sentiment towards the use of Duolingo as it is shown by the dominant prevalence of "Agree" and "Strongly agree" answers. However, in terms of competitiveness, Duolingo might not that convincing in making students have the desire to compete and get better score than their peers. Overall, students are aware with the motivational value that Duolingo potentially offers.
Efficient Recommendation Algorithm for Employment of College Students for Various Majors

Against the increasing severity of employment difficulties, job recommendation systems for college students are becoming increasingly important. As it is impossible to refer to the students’ own employment data, relevant research based on the school’s historical employment data provides a reference for students’ employment. We proposes a method based on the school’s historical employment data for job recommendation for college students. The specific ideas and characteristics are as follows: First, preprocess the collected data to generate the user portrait. In the user portrait construction process, we proposes using the AHP-Entropy Weight method to construct a weight vector of ability requirements for different positions, highlighting the focus of students’ abilities in different positions. To improve computational efficiency, first, we uses clustering algorithms to construct different user groups with different characteristics. Then, we calculates the similarity between the students to be recommended and the user groups, followed by the similarity with the users in that group to improve computational efficiency. In particular, we prove that if the number of samples in the database is greater than or equal to 6, our algorithm will have a lower average time complexity than the traditional algorithm. To address the scarcity of employment market data for college students, we collects the real employment data of graduating classes of a major in a certain university to build the HNNU-JOB data set based on students’ employment ability characteristics. Extensive experiments on HNNU-JOB show that the proposed method achieves remarkable performance of recommendation.
ML2FNet: A Simple but Effective Multi-level Feature Fusion Network for Document-Level Relation Extraction

Document-level relation extraction presents new challenges compared to its sentence-level counterpart, which aims to extract relations from multiple sentences. Current graph-based and transformer-based models have achieved certain success. However, most approaches focus only on local information, independently on a certain entity, without considering the global interdependency among the relational triples. To solve this problem, this paper proposes a novel relation extraction model with a Multi-Level Feature Fusion Network (ML2FNet). Specifically, we first establish the interaction between entities by constructing an entity-level relation matrix. Then, we employ an enhanced U-shaped network to fuse the multi-level feature of entity pairs from local to global. Finally, the relation classification of entity pairs is performed by a bilinear classifier. We conduct experiments on three public document-level relation extraction datasets, and the results show that ML2FNet outperforms the other baselines. Our code is available at https://github.com/zzhinlp/ML2FNet .
Management Of Archives To Support Order Administration In Ujung Tanah’s Office Of Makassar City

The Ujung Tanah District Office's archive management has not gone as planned. The Ujung Tanah District Office does not yet have a dedicated archivist. This study's problem is the types of archives, the role of archives, organizing archives, archive storage systems, archive storage procedures, archive maintenance, archive security, equipment, archive equipment, and archive destruction, as well as the efforts made to overcome problems at the Ujung Tanah District Office in Makassar City. This study employs a qualitative approach. Researchers used interviews, observation, and documentation to collect data. The researcher's data analysis model employs the Miles and Huberman analysis model, in which the analysis is carried out continuously until a saturation point is reached. Based on indicators of the archive storage system, the process of storing and using archives, archive equipment and supplies, and archive depreciation, the results showed that the management of archives in the Ujung Tanah sub-district office in supporting administrative orders was carried out properly. The Ujung Tanah District Office's archive management faced several challenges, including a lack of archiving staff and inadequate knowledge of archives and archive storage facilities.
Human-Computer Interaction in the Emerging Metaverse: Social Implications and Design Principles for the Sustainable Metaverse

The emergence of the metaverse transforms the way humans interact with computers; the metaverse brings about a new form of human-computer interaction that is more immersive, intuitive, and seamless. In the present paper we thus aim to elucidate the role of human-computer interactions in the age of the metaverse. New forms of human-computer interaction via the metaverse are beneficial for humans in many ways; at the same time, however, there are new types of social issues that are emerging as the metaverse develops and that need to be taken seriously. Specifically, we focus upon issues such as privacy, surveillance capitalism, cyber-syndromes, and amplifications of social problems, and discuss what regulations would be appropriate in order to balance the adequate development of the metaverse with the safety and security of it that is required for social good, in particular for sustainable development goals. We finally propose ethical design principles for the sustainable metaverse in order to address the aforementioned and other social issues.
In-Kernel Authentication Request Analysis for Human and Bot Distinction

As the world continues to digitise and produce numerous challenges, it becomes imperative to rely on computer authentication processing. Utilising the Kerberos network authentication protocol, which features single-sign-on, trusted third-party, and mutual authentication services, is one of the numerous sophisticated user identification techniques. However, a challenge arises when clients connecting to Kerberized servers are emulated by bots exhibiting human-like behaviour, which cannot be effectively mitigated using standard firewalls. This work aims to investigate and present a time-efficient methodology for the distinction between bot- and human-executed authentication requests using a safe in-kernel authentication protocol proxy module that replicates the original domain controller. The aim of this technology is to detect threat actors who are engaging in reconnaissance activities targeting the principal database and utilise transparent communication as being an actual domain controller.