Reviewerly/exHarmony huggingface dataset:
Control3D: Towards Controllable Text-to-3D Generation

Recent remarkable advances in large-scale text-to-image diffusion models have inspired a significant breakthrough in text-to-3D generation, pursuing 3D content creation solely from a given text prompt. However, existing text-to-3D techniques lack a crucial ability in the creative process: interactively control and shape the synthetic 3D contents according to users' desired specifications (e.g., sketch). To alleviate this issue, we present the first attempt for text-to-3D generation conditioning on the additional hand-drawn sketch, namely Control3D, which enhances controllability for users. In particular, a 2D conditioned diffusion model (ControlNet) is remoulded to guide the learning of 3D scene parameterized as NeRF, encouraging each view of 3D scene aligned with the given text prompt and hand-drawn sketch. Moreover, we exploit a pre-trained differentiable photo-to-sketch model to directly estimate the sketch of the rendered image over synthetic 3D scene. Such estimated sketch along with each sampled view is further enforced to be geometrically consistent with the given sketch, pursuing better controllable text-to-3D generation. Through extensive experiments, we demonstrate that our proposal can generate accurate and faithful 3D scenes that align closely with the input text prompts and sketches.
Snowball Throwing Learning Model On Learning Activeness Students In Language Subjects English In Class VII C SMP Negeri 5 Palopo

The goal to be achieved in this research is to find out the effectiveness of the snowball throwing learning model for the learning activities of class VII C students of SMPN 05 Palopo. This research used pre-experimental research, namely the type of One-Group Pretest-Posttest Design. In this research, the researchers did the research for 6 meetings. With this research, the results of the treatment can be known more accurately, because it can be compared with the conditions before being given treatment (treatment) and after being given treatment. Based on the results of the research, the use of the snowball throw learning method is effectively used to support students' active learning in the classroom. The application of the learning method of throwing snowballs in class VII C of SMPN 05 Palopo in the English subject has increased rapidly. This research was conducted in 2 (two) stages, namely pretest and posttest. The pretest was carried out before applying the snowball throw learning method to see students' interaction skills in class, and the results of class VII C's pretest were in the less active category. While the posttest or the application of the snowball throwing learning method in the teaching and learning process, the posttest results are in the very good category.
Multi-Granularity Interactive Transformer Hashing for Cross-modal Retrieval

With the powerful representation ability and privileged efficiency, deep cross-modal hashing (DCMH) has become an emerging fast similarity search technique. Prior studies primarily focus on exploring pairwise similarities across modalities, but fail to comprehensively capture the multi-grained semantic correlations during intra- and inter-modal negotiation. To tackle this issue, this paper proposes a novel Multi-granularity Interactive Transformer Hashing (MITH) network, which hierarchically considers both coarse- and fine-grained similarity measurements across different modalities in one unified transformer-based framework. To the best of our knowledge, this is the first attempt for multi-granularity transformer-based cross-modal hashing. Specifically, a well-designed distilled intra-modal interaction module is deployed to excavate modality-specific concept knowledge with global-local knowledge distillation under the guidance of implicit conceptual category-level representations. Moreover, we construct a contrastive inter-modal alignment module to mine modality-independent semantic concept correspondences with instance- and token-wise contrastive learning, respectively. Such a collaborative learning paradigm can jointly alleviate the heterogeneity and semantic gaps among different modalities from a multi-granularity perspective, yielding discriminative modality-invariant hash codes. Extensive experiments on multiple representative cross-modal datasets demonstrate the consistent superiority of MITH over the existing state-of-the-art baselines. The codes are available at https://github.com/DarrenZZhang/MITH.
On-the-fly Editing of Emoji Elements for Mobile Messaging

This poster presents an on-the-fly emoji editing method to extend the range of emotional expressions of off-the-shelf emojis when typing a message on a mobile. The proposed system allows for the quick editing of accessory elements of facial emojis via simple swipe or flick gestures to reflect the user’s emotional intensity.
The Comparative Study of Visual and Auditory Learning Style on Jigsaw Strategy in Students’ Reading Comprehension at Junior High School

This study aimed to idenify (1) wether there was an effect of using Jigsaw Strategy on Students' reading Comprehension of visual and auditory Learning Style at SMP Negeri 3 Lintonghihuta. (2) whether there was different effect of using Jigsaw Strategy on Students' reading Comprehension of visual and auditory Learning Style at SMP Negeri 3 Lintonghihuta. The design of this study was mixed design quantitative comparation with quasi - experimental research that aimed to determine whether the relationship between the experimental group and comparison group in reading comprehension, the experimental group is the group that received the treatment. One class from the population was taken as samples by using a purposive-sampling technique. There were 32 students were taken as populations from class IX – 1. The class will be taught by Jigsaw strategy to know the reading comprehension achievement then compared between the auditory and visual learning style. The results of this study were (1) there was different post-test score between auditory and visual class where the visual class had higher score (71,25) than the auditory class (67,00) after being taught using jigsaw strategy. The result of the paired sample t-test showed that the values of sig (2-taieled) was 0,000 &lt; 0,050 which means that there was significant different between the Pre-test and Post-test and it can be concluded that there was mean difference between the pre-test and the post-test of reading comprehension score of visual and auditory learning style after taught using jigsaw strategy.(2) Based on the ANCOVA test it was found that the value of level of significance of learning style was 0.120 and the value of level of Jigsaw strategy significance level was 0,162. It can be said that there was no significance effect of jigsaw strategy on students’ reading comprehension of auditory and visual and auditory Learning Style at SMP Negeri 3 Lintonghihuta.
ANALYSIS OF OLC SYSTEMS IN THE PERSPECTIVES OF RELEVANT COST AND CARBON EMISSION COST

This research raises the topic of online learning and aims to identify and analyze online learning in terms of relevant costs. Online learning is a learning method that utilizes the internet and connected media to connect and learn. This research is qualitative with a case study method. The tools used in this research are Microsoft Excel and the GoGreener application to recapitulate and manage research sample data. The results of this study state that online learning in the midst of the COVID-19 pandemic situation is a great learning method. It is because by applying the online learning method, the costs incurred can be reduced (relevant) compared to the costs incurred during face-to-face or onsite learning, and the carbon costs that need to be paid can also be reduced. Keywords: Online Learning, Relevant Costs, Carbon Costs, COVID-19 Pandemic
PEDAGOGICAL MODEL FOR THE DEVELOPMENT OF PROFESSIONAL COMPETENCE OF TEACHERS BASED ON DIGITAL TECHNOLOGIES

Ushbu maqola pedagoglarning professional kompetentligini rivojlantirishda raqamli texnologiyalar imkoniyatilaridan unumli foydalanish, ta’limni raqamlashtirish asosida ta’lim sifatiga ijobiy ta’sir ko‘rsatish, korrupsion munosabatlarni oldini olishda inson omilini yo‘qotishga qaratilgan pedagogik faoliyatni yo‘lga qo‘yishning ijtimoiy ahamiyati tadqiq etilgan.
EChat: An Emotion-Aware Adaptive UI for a Messaging App

While online forums provide a convenient platform for people to interact anonymously with others who share similar interests, they have to deal with large amounts of hate speech and inappropriate content, often posted by users in the heat of the moment. This can have a negative impact on the psychological state of other forum users and moderators, who are tasked to identify and delete such content. We investigate a preventative approach to this problem with the design of EChat, a proof-of-concept augmentation to online forums that helps users attend to their emotional state. The user’s current emotional state is detected using facial emotion recognition, and the aesthetics of the UI are adapted to reflect this emotion. In case of an emotion with negative valence such as anger or sadness, the UI aesthetic is gradually transitioned to one that evokes a more positive emotion. Semi-structured interviews with EChat users confirm the potential of emotion-aware design to reduce hateful content, and also highlight important design considerations.
Improving the Students’ Motivation in Learning Vocabulary Using Song Lyrics

This study aims to increase the students' motivation in learning vocabulary using song lyrics in the seventh grade of SMP Citra Bangsa. This classroom action research uses tests, observations, questionnaires, and documentation to determine the improvement that occurs in each cycle. Tests given to Pre-Test, Post-Test cycle 1, and Post-Test cycle 2 showed that the average score of each vocabulary test in the class increased significantly. In the Pre-Test, the mean score was 41.25. Then in the Post-Test cycle 1 the average score raised to 56. In the Post-Test cycle 2, the average score reached 63.5. The improvements proved that song lyrics is worth implementing in teaching vocabulary. It is supported by the results of observations which showed an increase in terms of students' motivation in learning vocabulary. The results of the questionnaire also showed an increase in the number of positive questions. While the number of negative questions decreased. Thus, it can be concluded that there is a significant increase in motivation and vocabulary achievement of seventh grade students of SMP Citra Bangsa after they are taught to use song lyrics.
Penerapan Model Pembelajaran Cooperatif Integratedreading and Composition (CIRC) Terhadap Minat Belajar PAK Siswa Kelas IX SMP NEGERI 3 SITIOTIO Kabupaten Samsosir Tahun Pembelajaran 2023/2024

The research aims to determine whether there is a positive and significant influence from the implementation of the cooperative integrated reading and composition model on the interest in learning PAK of class IX students of SMP Negeri 3 Sitio-tio Samosir Regency for the 2023/2024 academic year. The research hypothesis is that there is a positive and significant influence between the application of the cooperative integrated reading and composition model on the interest in learning PAK of class IX students of SMP Negeri 3 Sitio-tio Samosir Regency for the 2023/2024 academic year. This research is a regression research using Descriptive and Inferential Statistics techniques. The population of all students in grades VII-IX of SMP Negeri 3 Sitio-tio for the 2023/2024 academic year who are Protestant Christians is 177 people. Purposive sampling was 33 people. The research instruments were closed questionnaires and observations. The results of the analysis requirements obtained values ​​rcount=0.599&gt;rtabel=0.344 and tcount=4.165&gt;ttable=2.042 indicating a relationship between the cooperative integrated reading and composition model and students' interest in learning PAK and obtained the regression equation. The determination test showed that the magnitude of the influence of the cooperative integrated reading and composition model on interest in studying Christian Religious Education for class IX students at SMP Negeri 3 Sitio-tio for the 2023/2024 academic year was 35.88%. Hypothesis testing obtained Fcount=17.162&gt;Ftable=3.32, so H0 is rejected and Ha is accepted. The research concluded that there was a positive and significant influence between the cooperative integrated reading and composition model on interest in studying Christian Religious Education of class IX students at SMP Negeri 3 Sitio-tio, Samosir Regency, Academic Year 2023/2024.
Development of a new FitzHugh–Nagumo type simplified electronic neuron

This study aims to develop a new electronic realization of FitzHugh–Nagumo neuron. We based our work on a previously constructed circuit and modified it to reduce the number of elements. All modeling was done using ngSPICE circuit simulator. For the new developed circuit current-voltage characteristics were constructed, then dependence of signal amplitude on resistance of potentiometer was measured. By this way, we found that oscillations were bom as a result of Andronov–Hopf bifurcation like in the FitzHugh–Nagumo neuron. The different approximations of nonlinear function were considered and the dependence of the output signal on the number n of diodes in the circuit was studied. It was found that signal becomes more pulse-like with increase of n: the fewer diodes used, the smoother the peak was, up to the plateau-like segment for n = 1. At the same time, the dependence of the oscillation frequency on n is weak: in general, the period decreases slightly with increasing n. As a result, we developed a new simplified silicon neuron of FitzHugh–Nagumo type simple for hardware realization and modification.
Sentiment analysis of wayang climen using naive bayes method

This research focuses on sentiment analysis of Wayang Climen performances in Indonesia using the Naïve Bayes algorithm. Wayang, a traditional puppet show, holds cultural significance and has persisted alongside modern entertainment options. The study collected public comments from Dalang Seno and Ki Seno Nugroho's YouTube channels, classified them into positive, negative, and neutral sentiments, and employed a translation process to align comments with program language objectives. Preprocessing steps included case folding, removing punctuation, tokenizing, stopword removal, and post-tagging. To address data class imbalances, resampling was performed using the Synthetic Minority Oversampling Technique (SMOTE). The Naïve Bayes algorithm was utilized for data classification, exploring various translation scenarios. Evaluation involved the confusion matrix method and metrics like accuracy, precision, recall, and f-measure. Results demonstrated that the Dalang Seno train data scenario outperformed Ki Seno Nugroho's, with higher precision, recall, accuracy, and f-measure values. Additionally, the translation scenario from Indonesian to English yielded the most effective results. In conclusion, this study highlights the suitability of the Naïve Bayes algorithm for sentiment analysis in the context of Wayang Climen performances, with practical implications for understanding public sentiment in the digital age.
The Effect of Using a CNC Simulator in Learning the Mechanical Engineering Skills Program

The 21st century is better known as the digital era, an era of rapid development of information technology with data-based document management, digital transformation, and network-based communications. The research aims to evaluate the use of computer numerical control (CNC) simulators, analyze the effect of using CNC simulators, and find factors inhibiting the use of CNC simulators in learning Mechanical Engineering at Muhammadiyah 1 Playen Gunungkidul Vocational High School (SMK). The research uses quantitative methods by conducting experiments. The experimental design used is quasi-experimental or quasi-experimental design research. The variables used in this research are the independent and dependent variables. The research was carried out at Muhammadiyah I Playen Vocational School. The research subjects were students of class XII Machining Engineering, which consisted of three classes. The data obtained was analyzed using the SPSS 20.0 for Windows application for normality testing and hypothesis testing. The research results show that using CNC simulators in learning the Mechanical Engineering Skills Program at SMK Muhammadiyah 1 Playen Gunungkidul went smoothly. The results of the t-test analysis for the experimental class and control class obtained sig. (2-tailed) experimental class is 0.000&lt; 0.05, and sig. (2-tailed) control class is 0.001. 0.001&lt;0 .05. There is an inhibiting factor in using CNC simulators in learning the Mechanical Engineering Skills Program at SMK Muhammadiyah 1 Playen Gunungkidul; namely, the number of CNC simulators provided is still limited, with the lowest type of CNC simulator.
The EFL Students’ Perceptions of Literacy Activies for Students’ Interest in Reading at Senior High School

This study is aimed to know the EFL students’ perceptions of literacy activities for students’ interest in reading at SMA Negeri 12 Medan. A total of 265 eleventh grade students of XI P 1 until XI P 9 at SMA Negeri 12 Medan were involved in this study. This research used a descriptive qualitative design. The researcher used questionnaire technique to collect the data, the Likert Scale. The result of this research showed that most of the students’ perceptions are positive, as many as 210 (79,48%) of the 265 students, this shows that more than half of the students’ perceptions of literacy activities are positive, 127 (48,20%) students’ perceptions of students’ reading interest are positive and only 107 (40,69%) students’ perceptions of reading interest are negative. This research also showed that there are 253 (95,35%) students’ perceptions of interaction on literacy activiies for students’ interest in reading are satisfied. The frequency of students’ activities on reading and what the read affect their perception of literacy activities. Students’ literacy activities showed their interest in reading through their motivation in completing their sources for literacy activities. It can be concluded that most of the EFL students’ perception of literacy activities for students’ reading interest in Reading are positive.
Multi‐Party Quantum Key Distribution Using Variational Quantum Eigensolvers

Abstract The research paper introduces a novel approach to multi‐party quantum key distribution using variational quantum eigensolvers (VQEs). The protocol aims to establish secure communication among multiple parties in a quantum network. The paper outlines a comprehensive framework incorporating quantum state preparation, VQE‐based key generation, error correction, and privacy amplification circuits. Mathematical formulations guide the design of quantum gates, variational parameters, and error correction codes. The protocol utilizes quantum entanglement, VQE optimization, and classical operations for error correction and secure key extraction. The paper's experimental focus involves implementing the proposed protocol on a quantum computer, analyzing security metrics such as mutual information and min‐entropy, and simulating circuit outcomes.
Large Generative Models Meet Multimodal Video Intelligence

In this talk, I would like to share my recent research around multimodal video intelligence in the era of large generative models. I will first talk about video-language pretraining techniques (All-in-one, EgoVLP) that use one single model to power various understanding tasks ranging from retrieval to QA. Then I will introduce challenges and our efforts of adapting these large pretrained models to AI Assistant, such a real-world application (AssistQ, AssistGPT). Finally I will delve into the reverse problem i.e. given open-world textual description, how to generate videos with diffusion models (Tune-A-Video, Show-1).
Unlocking Multimedia Capabilities of Gigantic Pretrained Language Models

Benefitting from unprecedented computational power, massive data throughput, and superhuman memory, large language models (LLMs) are fundamentally transforming multimodal machine learning. An LLM can be analogized to an enormous treasure box guarded by a lock. It contains extensive knowledge, but it can be non-trivial to access and apply appropriate knowledge to solve the problem at hand. Researchers have developed many techniques to unlock the capabilities of LLMs. Some well-known examples include chain-of-thought prompting, "let's think step by step'', and instruction tuning. In this talk, I will discuss techniques to unlock the capability of LLMs to process both visual and linguistic information. VisualGPT is one of the earliest works that finetunes an LLM for a vision-language task. InstructBLIP is an instruction-tuned large vision-language model, which set new states of the art on several vision-language tasks and snatched top positions on several comprehensive evaluation suites. In addition, I will talk about how to unlock zero-shot capabilities without end-to-end finetuning, or any form of finetuning at all. In Plug-and-Play VQA and Img2LLM, we achieve excellent results on visual question-answering datasets by connecting existing pretrained models using natural language and model interpretations, demonstrating a feasible alternative to the mainstream finetuning approach. Finally, I will describe a new multimodal dataset, Synopses of Movie Narratives, or SyMoN, for story understanding, which constitutes a new challenge for large vision-language models. I will argue that story understanding is an important objective in the pursuit of artificial general intelligence (AGI) because stories are a preeminent form of human communication and story understanding requires many AGI capabilities such as cause-effect reasoning and theory of mind. Compared to other multimodal story datasets, the special advantages of SyMoN include (1) event descriptions at the right level of granularity, (2) abundant mental state descriptions, (3) the use of diverse storytelling techniques, and (4) the provision of easy-to-use automatic performance evaluation.
Model of Online Course Activities Management

Learning management systems are rapidly evolving as independent platforms for supporting an entire assessment and even educational process. However, these are bounded by the lack of human interaction and task solving for intricate or more complex educational systems. Thus, developments can be made in the direction of building such systems which will increase the number and quality of solutions given to issues regarding online education. In this paper, we present the construction of an example of such a system which serves as an aid for the teacher to assess the students enrolled at a certain course. In the form of a web application, the system will generate variants of tests that can be given to students following restrictions of difficulty and time. This would ease the assessment process within the course and would create an automated tool for an equitable evaluation of all students.