Reviewerly/exHarmony huggingface dataset:
THE DEVELOPMENT OF AN HCL MODEL TO INCREASE THE CURIOSITY IN EARLY CHILDHOOD

Exploration of how to foster early inquisitiveness through the creation of new learning models. Our primary goal in this study is to provide a teaching framework for stimulating children' natural curiosity in early childhood. The success of new learning models in piquing children' interest in learning can be attributed to two factors: their production and ability to work. The participants were children aged 5 and 6. The students in the selected group, aged 5-6, were randomly selected to serve as the sample group. To pique students’ interest, this research uses the higher curiosity learning (HCL) model for learning growth. The HCL model uses six indicators of children’s observation, investigation, and experimentation to measure curiosity. The approach of research and development (R&amp;D) consists of 10 stages. This study used a one-group pre-test-post-test approach to evaluate the efficacy of the underlying learning model. According to the study findings, the HCL approach is useful for fostering children's sense of curiosity during early childhood. The ability to be interested in situations with a lot of collative unpredictability is a relatively persistent personality characteristic. Extending real-time evaluations of the quality of the experiencing states they contain is proposed as a means of gaining insight into the significance of curiosity and interest for pedagogical practice. The findings of this study contribute to the development of a teaching framework for early childhood education that focuses on stimulating children’s natural curiosity. The study’s innovative approach, which uses the HCL model, demonstrates the effectiveness of this approach in fostering children's sense of curiosity and interest, providing valuable insights for pedagogical practice. Keywords: Higher Curiosity Learning, Learning Model, Curiosity, Early Childhood DOI： https://doi.org/10.35741/issn.0258-2724.58.2.73
Workspace-aware Planning of a Surgical Robot Mounting in Virtual Reality

When placing a redundant surgical robot in an operating room, the robot should be able to reach all desired trocar locations. At the same time, robots have a limited position and orientation reach that is not intuitive to take into account for a user while verifying the desired reachability. Therefore, identifying feasible mounting locations for a surgical robot in an operating room depends on required trocar locations, reachable workspace, and operating room constraints. In this work, we aimed to find feasible locations to fix a redundant surgical robot in an operating room. As an alternative to formulating this as a mathematical optimization problem, we provided an interactive planning tool in VR to visualize the robot and its workspace, and to allow identification of a suitable placement for the robot. As a proof-of-concept, we used our interactive VR planning tool to find a suitable placement for the robot, and design a fixture to mount the robot in the room.
Man-in-the-Middle Attacks Through Re-Shaping I-Q Optical Constellations

A module to re-shape optical constellations making the optical signal resembles as it has traversed some distance is presented. Armed with this module, Main-in-the-Middle attacks can be performed, which could be undetectable by security systems.
(Invited) How Traffic Analytics Shapes Traffic Engineering, Topology Engineering, and Capacity Planning of Jupiter

Three prominent traffic features including peak alignment, stable ranking, and gravity model, have guided the design of current Google Jupiter fabrics in traffic engineering, topology engineering, and capacity planning.
Entanglement Measurement Using Pump-Phase Control on an Up-Conversion Detector

We measure sequential time-bin entangled light by dynamically adjusting the pump phase of an up-conversion detector, allowing fast basis state control without adding loss to the quantum signal.
Local criteria for testing hypothesis of randomness in laboratory quality control

The approach proposed earlier by the authors to a statistically justified search for structures in data of different nature is applied to the problem of statistical quality control. The need to verify that measurement results are independent and identically distributed values (random hypothesis) arises in scientific research, quality control of laboratory analyzes and production processes. Popular tests of randomness or patternless in the existing literature are usually global and do not allow user to identify possibly existing local violations of randomness. The proposed local tests are two-stage. At the first stage, a list of sections is compiled where there is reason to suspect a violation of randomness due to the presence of a certain pattern. Each such section is characterized by two numbers – length and degree of severity. On the plane of parameters (length, severity) a critical region is built, upon entering which this section is declared being significant. The corresponding local modification of the classical runs test is considered. In addition, two more new nonparametric tests have been proposed to search for sections with excessively similar and vice versa strongly fluctuating data. The construction of tests is simplified when the ranks of measured values are replaced by the corresponding empirical p values which are uniformly distributed and nearly independent if hypothesis of randomness is true.
Web-based thesis title submission information system

The rapid growth of the computer world has had a great impact in the world of information and telecommunications. It also triggers the rapid development of information technology in order to provide convenience and facilities to support humans in an attempt to finish the job. The guidance system current thesis is generally manual, where students interact and face to face with the supervisor in a certain space and time. In the process, students are guided by one supervisor appointed by the chairman of the study program. But the problem that often arises is the students and lecturers can not be met due to lack of compatibility between the two sides time and ignorance about the schedule student supervisor. Other than that, To overcome some of the weaknesses then designed an Online Application Final Guidance. This application aims to provide convenience in the process of final guidance between students and lecturers. The system is web-based, with the programming language used is PHP and uses a MySQL database
Designing a web-based information system at the Sirah Pulau Padang Public Health Center

The Community Health Center is one of the health service organizations that always strives to achieve efficiency and effectiveness of services to the community, so it takes a supporting facility for processing website-based information system data that can provide information quickly and accurately, but the Sirah Pulau Padang Public Health Center is in the process of processing information systems that provide accurate information. in Sirah Pulau Padang Health Center, they still use the manual method by using paper as a processing tool so that various problems eventually emerge. Such as the difficulty of controlling user data information, poly data, patient data and patient visit data, inventory of information caused by human error, the process of finding patient data becomes long and less accurate due to the accumulation of paper containing data, and due to the nature of paper that is easily damaged, it is very possible for data loss to occur. The formulation of the problem in this study is the risk of inaccurate data caused by human error in the data recording process, the risk of data loss caused by the nature of paper that is easily damaged, and the slow data search process. This study used qualitative research methods. So the author made a website to support the performance of the Padang Island Sirah Health Center, based on the results of research conducted at the Sirah Pulau Padang Health Center with the title Web-Based Information System Design at the Padang Island Sirah Health Center, it can be concluded that this study succeeded in creating an information system using the website method.
Analysis academic information system at Muhammadiyah university palembang

Academic Information System is a system that is used as a tool to facilitate access, the University of Muhammadiyah Palembang Academic Information System accesses a Study Plan Card, Study Result Card, Transcript, Lecture Schedule Input, Course Input, Student Activity Data Reports. In accessing the overall data, it is only given to the Palembang UM Operator, while for the Faculties it is only given access to the work of each faculty by the respective Faculty Operators, and for students they can only access an Online KRS Input, Online KRS Output, KHS Print, and Transcript of Scores.
QUESTIONS OF SCIENTIFIC NOVELTY, RELEVANCE AND PRACTICAL SIGNIFICANCE OF RESEARCH IN THE PREPARATION OF A SCIENTIFIC ARTICLE

The article deals with the concepts of scientific novelty, relevance and practical significance of the study. These components of the study are considered in detail, the need for their inclusion in the content of a scientific article is explained. The importance of these components is emphasized not only for a scientific article, but primarily for scientific research. It is indicated in which structural part of the article the scientific novelty, relevance and practical significance of the study are presented.
The Role of Information Technology in the Practice of Forensic Investigation Analysis for Fraud Disclosure in Indonesia

The industrial revolution 4.0 where everything has shifted to a digital system. The development of technology is getting faster and more sophisticated. By using information even fraud occurs by using technology. (fraud) is something that is planned and carried out by an individual or a group that will benefit from other parties who may be harmed. Forensic accounting and investigative auditing have a very important role in assisting the disclosure of fraud cases that occur. The purpose of this study is to understand how the role of information systems in the practice of forensic investigations can be applied to detect fraud. The research method used is descriptive qualitative method by taking data from literacy studies on research on fraud in various entities in Indonesia. The results of the study show the application of information systems in the practice of forensic investigations on prevention, detection and effective handling in disclosing fraud in various entities in Indonesia.
Protocolo de avaliação fisioterapêutica em telessaúde para pacientes pediátricos

The COVID-19 pandemic started in 2020 and due to the high level of contagion social distancing measures were adopted in order to reduce the proliferation of the virus. In this context, the telehealth approach gained notoriety. This modality can be classified into Telemedicine, Teleconsultation, Telerehabilitation, Telemonitoring and Teleconsulting. The aim of this study was to develop a protocol for physical therapy assessment in telehealth for pediatric patients. The protocol developed was divided into 3 stages: pre-service, service and finalization. Through the steps of the product created, it is possible to follow a strategy for physical and functional assessment, minimizing failures and facilitating successful remote service. Despite the barriers to the implementation of telehealth, such as the performance of some stages of the physical examination, technological, geographical and organizational limitations, this modality has been of great value, and considering future perspectives, it has great potential to remain a permanent choice of care.
Effect of Immersive Experience on Repurchase Intention of Virtual Heritage Tours among Gen-Z in Indonesia

This study aimed to examine the impact of immersive experiences on Gen-Z in Indonesia and their repurchase intention of virtual heritage tours. Based on a recent suggestion to explore the effects of Mixed Reality on visitor experience, an e-questionnaire was distributed digitally through platforms such as WhatsApp, Instagram, Facebook, and TikTok. Convenience sampling method was used to collect data from 128 respondents. The findings indicated that Gen-Z in Indonesia expressed an intention to repurchase virtual heritage tours after experiencing at least one high-quality tour. The quality of the virtual heritage tour was determined by its ability to create a virtual environment that mimics a real environment and stimulates users' physical senses, as well as the quality of its content. These two factors were found to be the most significant indicators of a successful virtual heritage tour. The findings have practical implications for heritage management, including the use of immersive technology as an alternative way for users to experience heritage sites and to mitigate overtourism. Additionally, this study contributes to the fields of Information and Communication Technology and Tourism, specifically virtual tours and Indonesia. Further research may investigate other factors that may influence Gen-Z's repurchase intention of virtual heritage tours.
Cloud-based Cost Effective IIoT Model Towards Industry 5.0

Companies across industries increasingly depend upon cloud computing to manage their Industrial Internet of Things (IIoT) technology. Machines are connected over a network in the IIoT. Cloud computing plays an essential role by connecting people, devices, work processes, and buildings to deliver cloud services in industries. But cloud computing faces a problem with task scheduling, high latency delay, and memory management, affecting the overall cost of industries using cloud services. A major concern in the cloud computing field is task scheduling which is essential for achieving cost-effective execution and improving resource usage. It refers to assigning available resources to user tasks. This problem can be solved effectively by improving task execution and increasing the use of resources. The waiting time between a client’s sent request and a cloud service provider to give a response, known as latency, is another issue in cloud environments. In cloud computing, this delay can be significantly higher. As a result, users of various cloud services may incur increased expenses due to this delay. Finally, among the most significant topics in cloud computing is efficient memory management, which handles integrated data and optimizes memory management algorithms. This paper proposes a cloud model for IIoT, which provides task scheduling, helps reduce latency, and optimizes memory management. This proposed model helps to reduce the cost of using cloud computing in IIoT.
JoVE Video Dataset

Efficient and economical performance evaluation of pilots has become critical to the aviation industry. With the development of virtual reality (VR) and the combination of eye-tracking technology, solutions to meet these needs are becoming a reality. Previous studies have explored VR-based flight simulators, focusing mainly on technology validation and flight training. The current study developed a new VR flight simulator to evaluate pilots' flight performance based on eye movement and flight indicators in a 3D immersive scene. During the experiment, 46 participants were recruited: 23 professional pilots and 23 college students without flight experience. The experiment results showed significant differences in flight performance between participants with and without flight experience, the former being higher than the latter. In contrast, those with flight experience showed more structured and efficient eye-movement patterns. These results of the differentiation of flight performance demonstrate the validity of the current VR flight simulator as a flight performance assessment method. The different eye-movement patterns with flight experience provide the basis for future flight selection. However, this VR-based flight simulator has shortcomings like motion feedback compared to traditional flight simulators. This flight simulator platform is highly flexible except for the apparent low cost. It can meet the diverse needs of researchers (e.g., measuring situation awareness, VR sickness, and workload by adding relevant scales).
<scp>InSCIt</scp>: Information-Seeking Conversations with Mixed-Initiative Interactions

Abstract In an information-seeking conversation, a user may ask questions that are under-specified or unanswerable. An ideal agent would interact by initiating different response types according to the available knowledge sources. However, most current studies either fail to or artificially incorporate such agent-side initiative. This work presents InSCIt, a dataset for Information-Seeking Conversations with mixed-initiative Interactions. It contains 4.7K user-agent turns from 805 human-human conversations where the agent searches over Wikipedia and either directly answers, asks for clarification, or provides relevant information to address user queries. The data supports two subtasks, evidence passage identification and response generation, as well as a human evaluation protocol to assess model performance. We report results of two systems based on state-of-the-art models of conversational knowledge identification and open-domain question answering. Both systems significantly underperform humans, suggesting ample room for improvement in future studies.1
Quantum computer circuits pass key entanglement test

Taming rivers to suit our needs has had some disastrous environmental consequences. Can we reverse the damage, asks Graham Lawton
Think like a hacker

Cyber-lawyer Scott Shapiro believes there is more to beating hackers than getting better at programming. He tells David Adam why online security is as much about humans as technology and how understanding both can keep us safer online
Decoupled Two-Phase Framework for Class-Incremental Few-Shot Named Entity Recognition

Class-Incremental Few-Shot Named Entity Recognition (CIFNER) aims to identify entity categories that have appeared with only a few newly added (novel) class examples. However, existing class-incremental methods typically introduce new parameters to adapt to new classes and treat all information equally, resulting in poor generalization. Meanwhile, few-shot methods necessitate samples for all observed classes, making them difficult to transfer into a class-incremental setting. Thus, a decoupled two-phase framework method for the CIFNER task is proposed to address the above issues. The whole task is converted to two separate tasks named Entity Span Detection (ESD) and Entity Class Discrimination (ECD) that leverage parameter-cloning and label-fusion to learn different levels of knowledge separately, such as class-generic knowledge and class-specific knowledge. Moreover, different variants, such as the Conditional Random Field-based (CRF-based), word-pair-based methods in ESD module, and add-based, Natural Language Inference-based (NLI-based) and prompt-based methods in ECD module, are investigated to demonstrate the generalizability of the decoupled framework. Extensive experiments on the three Named Entity Recognition (NER) datasets reveal that our method achieves the state-of-the-art performance in the CIFNER setting.
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment

Clinical information systems have become large repositories for semi-structured and partly annotated electronic health record data, which have reached a critical mass that makes them interesting for supervised data-driven neural network approaches. We explored automated coding of 50 character long clinical problem list entries using the International Classification of Diseases (ICD-10) and evaluated three different types of network architectures on the top 100 ICD-10 three-digit codes. A fastText baseline reached a macro-averaged F1-score of 0.83, followed by a character-level LSTM with a macro-averaged F1-score of 0.84. The top performing approach used a downstreamed RoBERTa model with a custom language model, yielding a macro-averaged F1-score of 0.88. A neural network activation analysis together with an investigation of the false positives and false negatives unveiled inconsistent manual coding as a main limiting factor.
SapBERT-Based Medical Concept Normalization Using SNOMED CT

Word vector representations, known as embeddings, are commonly used for natural language processing. Particularly, contextualized representations have been very successful recently. In this work, we analyze the impact of contextualized and non-contextualized embeddings for medical concept normalization, mapping clinical terms via a k-NN approach to SNOMED CT. The non-contextualized concept mapping resulted in a much better performance (F1-score = 0.853) than the contextualized representation (F1-score = 0.322).
Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data

Identification of postoperative infections based on retrospective patient data is currently done using manual chart review. We used a validated, automated labelling method based on registrations and treatments to develop a high-quality prediction model (AUC 0.81) for postoperative infections.
How does the Expansion of University Enrollment affect the return on investment in China's Real Economy

The implementation of college enrollment expansion (CEE) has a positive effect on China's human capital (HC) and is beneficial to the return on investment（ROI） in China's Real Economy (RE). This paper selects the sample data of 30 provinces (municipalities and autonomous regions) in China from 2013 to 2020, and uses the two-way fixed effect model to study the impact of CEE on the RE. The results show that there is an inverted U-shaped relationship (USR) between university enrollment expansion and the RE, indicating that when the university enrollment expansion policy reaches a certain scale, it will have a positive promoting effect on the RE. Secondly, the degree of influence of CEE on the development of RE in different regions of China is also different. Compared with the eastern regions (ER), the positive effect of CEE on the central and western regions (WR) is more obvious. Finally, the intermediary mechanism shows that CEE can improve the level of HC by training more research and development personnel, so as to achieve high-quality economic development (HQED).
Entanglement generation for non-local photonic qubits using quantum dot within the optical micro-cavity

This paper presents the analytical inquisition of photonic entanglement generation circuit (PEGC) for non-local qubits designed using quantum dot within the optical micro-cavity, considering the realistic environment. It is established that the concurrence of the PEGC is considerably contingent on the interplay between the spin of quantum dot and photon within the optical micro-cavity. The maximum concurrence obtained is 0.6124 at normalized coupling strength (g/k) = 0.3 and normalized side leakage rate (ks/k) = 0.1 and 0.9011 at g/k = 4 and ks/k = 0.1 with and without a noisy environment, respectively. Different quantum cryptography-based protocols may be implemented using reported work.