Reviewerly/exHarmony huggingface dataset:
Modern Approaches and Perspectives of Human Cord Blood Nucleated Cells’ Freeze-Drying

The review summarizes data on the prospects of using lyophilization as a methodical approach to preserve structure and functions for a long-term storage of human cord blood leukoconcentrate (HCBL). The advantages of the freeze-drying compared to low-temperature storage, natural or thermal drying have been shown. The question of the impact of physical and chemical factors, which are implemented at the stage of lyophilization, on structure and functions of HCBL cells has been considered. The importance of such factors as cell concentration, storage conditions, residual moisture in ensuring the preservation of lyophilized material was disputed. The paper analyzes the data on the use of lyoprotectants and antioxidants during freeze-drying as well as discusses the safety of using lyoprotectant delivery methods in relation to the genomic profile of cells. Key words: leukoconcentrate of human cord blood, freeze-drying, lyoprotectors, antioxidants
PREDICTING INDONESIA SOVEREIGN DEBT MANAGEMENTâ€™S RISK OCCURRENCE USING MACHINE LEARNING ALGORITHMS

The purpose of developing this predictive model is to predict the potential occurrence of risks in the implementation of projects financed through government loans. It uses data on Indonesian sovereign loans from the MoF DMFAS in the period between 1998 and 2019, consisting of 1930 government loans. Government loan performance is represented by two qualities: timeliness of loan disbursement and rate of loan realization. In the development of the model, the ensemble learning methodology was applied with the voting classifier algorithm. The algorithms used to make predictions for voting classifier include k-NN Classifier, Random Forest, and Logistic Regression. The predictive model developed can accurately predict 73.14% of observations on the rate of disbursement of government loans and is able to predict numerous amendments to drawing limit correctly as much as 89.69% of observations.
Analisis Komunitas Online Wikipedia Bahasa Jawa

&lt;em&gt;The Javanese Wikipedia Community is one of the communities under the auspices of Wikimedia Indonesia. The Community has the purpose of cultivating the Javanese language among Indonesian society. One of their programs includes writing articles but in Javanese language. Due to the Covid-19 pandemic, most of their activities have shifted to online systems. Because of the switching to an online community, researchers want to do some further research on the process and adaptation that occurs. This study will use the Participatory Action Research (PAR) method, which makes the community as an object of research to find problems in the community without changing the values in the community. With the implementation of this research, it is expected to find the value of social change that can be adapted in the Javanese Wikipedia community and other online communities.&lt;/em&gt;
Prototyping approach to test and evaluate a 3D brain model for psychology teachers and students

The virtual reality progress is undeniable. It has dabbled in multiple fields, from general education, all the way to the complicated nuclear technology education. This can be attributed to the flexibility of this tool. To integrate this technology into the Universidad de la Costa, a two-part project was initiated. This work represents the first part, where the authors analysed the use of prototype development to migrate a brain model to a virtual environment. Additionally, an initial evaluation was also applied to estimate the benefits and advantages of the model in this early development stage. It was found that this methodology provides an excellent form of communication between the developer and the user. Also, prototyping helps to correct errors at an early stage of the project. Although some problems were found due to the use of this methodology, the authors present some solutions that might avoid them. The result was an application that exceeded expectations, and even though it is incomplete, end users consider that it can be implemented as a teaching aid.
Fractured and fragmented selves: Queer approaches to designing virtual experiences1,2

This article presents an overview of three queer virtual reality projects, Virtual Drag (2016), Domestika (2017) and Untitled (2020). These are considered alongside other examples and design experiments by the authors that also take a critical, queer approach to representing bodily forms in virtual environments. This consideration includes looking at how bodies are represented in the environment that the participant explores, as well as the embodied experience of the participant visiting the environment either via a head-mounted display or via desktop. Through the discussion of queerly performed embodiment offered by these precedents, we propose a queer sensibility of disembodied presentness for virtual reality that embraces a position of immersion and presentness in multiple physical and virtual realities at once, as a theoretical and aesthetic grounding principle. Queering of presentness is a key concept that emerges through these works, in part due to the multiplicity of perspectives that VR affords. In Virtual Drag (2016) by Alison Bennett, Megan Beckwith and Mark Payne, we see the use of photogrammetry and glitch aesthetics to bring ideas of queer performativity and drag ‘realness’ to the fore when imaging bodies with permeable, porous boundaries in virtual reality. In Domestika (2017) by Jacolby Satterwhite, the virtual environment is populated with multiple avatars that repeat recordings of the artist’s dance performances; in this multiplicity of repeated traces, a viewer is unable to settle on a fixed representation of the artist’s self. This effect is amplified by the participant’s non-corporeal presence, demonstrating the creative potential of queer disorientation in virtual environments. In Untitled (2020) by Tarik Ahlip and Tactical Space Lab, we are immersed in a cinematic environment, filled with simulated light. There, we encounter the artist’s body, disembodied and forcing the viewer into the role of virtual voyeur and onlooker to actions out of time.
Improving maintainability of calendar-based IoT-driven office with knowledge graph and rule-based reasoning

Designing smart Internet of Things (IoT)-driven offices has recently gained considerable attention. Such smart offices are expected to enhance worker productivity and economise electricity for sustainability. However, there are several open issues related to the maintenance of IoT applications.
Design of a Spoken Dialogue System to Provide Food Knowledge to Users while Eating

In this paper, we introduce the concept of a spoken dialogue system, which aims to recognize user eating behaviors during meals and promotes healthier eating habits by engaging users in an interactive co-dining experience. To provide an intuitive and more natural access, this information is integrated into a natural conversation with the user. Therefore, we conducted a preliminary study to explore how a human-like virtual avatar's eating speed affects the eating pace of a co-dining user. The results indicate that dining together with an avatar reduces the user's feeling of loneliness and enhances the overall satisfaction and enjoyment of the meal. Therefore, this work represents an important step toward realizing engaging co-dining experiences with human-like avatars and provides new insights into the future design of IoT systems to support solitary dining and health recommendations.
Securing Cross Reality: Unraveling the Risks of 3D Object Disguise on Head Mount Display

This research explores the potential risks associated with disguising 3D objects in Cross Reality (XR) environments, which encompass both Virtual Reality (VR) and Augmented Reality (AR) technologies. XR is gaining attention for its immersive experiences, primarily facilitated by Head Mounted Displays (HMDs). Unlike traditional devices, XR provides a more substantial visual impact due to its immersive nature. The study focuses on disguising 3D objects within XR environments, a novel area of research. Various disguises, such as superimposition and transparency, are discussed, then potential security threats and risks are outlined. Preliminary experiments are conducted to demonstrate the technical feasibility of these disguises, and the need for further user studies and experimentation with complex shapes is acknowledged. The research highlights the emerging threat of 3D object disguises in XR and emphasizes the importance of continued investigation in this field.
Methods of improving and optimizing college english education level assisted by micro video technology

With the increasing number of teachers and English learners, the usage of teaching resources using micro video has become an important aspect of the modern field of educational technologies. Based on the data presented in the article, micro video technology is used to analyze the factors that affect the quality of teaching English. The process includes data collection, preprocessing and analysis, decision table generation, rule generation, attribute reduction, rule validation, etc. The results of the research presented in this article have important implications for English language teaching at various levels in colleges and universities.
Incoherent GRAPE for Optimization of Quantum Systems with Environmentally Assisted Control

In this work, we review several results on development and application of incoherent version of GRAPE (Gradient Ascent Pulse Engineering) approach, inGRAPE, to optimization for open quantum systems driven by both coherent and incoherent controls. In the incoherent control approach, the environment serves as a control together with coherent field, and decoherence rates become generally time-dependent. For a qubit, explicit analytic expressions for evolution of the density matrix were obtained by solving a cubic equation via Cardano method. We discuss applications of incoherent GRAPE method to high fidelity gate generation for open one- and two-qubit systems and surprising properties of the underlying control landscapes, forming two groups - smooth single peak landscapes for Hadamard, C-NOT and C-Z gates, and more complicated with two peaks for T (or $\pi/8$) gate. For a qutrit, a formulation of the environment-assisted incoherent control with time-dependent decoherence rates is provided.
On the Clinical Use of Artificial Intelligence and Haematological Measurements for a Rapid Diagnosis and Care of Paediatric Malaria Patients in West Africa

Malaria continues to be a major cause of death worldwide, with a broad range of people spread over 90 countries being at risk of contracting the disease, and a significant cause of death in children under the age of 5. Due to this, there continues to be substantial investment towards not just the treatment of the disease, but also a more rapid and accurate means towards its diagnosis. In this work, we look to explore how measurements obtained from the complete blood count (CBC) technique from patients' blood, alongside artificial intelligence (AI) methods, could form an affordable analytical pipeline that could be adopted in hospital settings in both developed and developing countries. As part of this work, we utilize patient blood measurements acquired from paediatric patients from Ghana, West Africa, alongside various configurations of AI models towards distinguishing between malaria vs. non-malaria cases in a sample set comprising over 2000 patients. Class balancing algorithms are utilized to first balance the classes for the various patient groups, followed by the use of AI algorithms to train machine learning models to differentiate between a malaria vs. a non-malaria patient. The results showcased a generally high prediction accuracy, especially in the case of models with nonlinear decision boundaries, therein showing how the proposed analytic pipeline can serve as a high-throughput approach towards tackling the malaria epidemic from a diagnostics perspective and ultimately enhancing patient care strategies.
Analisis Komunitas Online Storial

&lt;p&gt;&lt;em&gt;Digitalization has brought many changes to human life. One of the actual examples is the emergence of communities in the field of literacy that move online, such as the Storial community. Komunitas Storial is a community engaged in literacy, especially writing and reading digital novels on the Storial.co application. In this journal, we will analyze the community using the Participatory Action Research method. The author will focus on analyzing several aspects of the community to find the core problems, as well as finding the right solution to solve the existing problems. The results of the analysis shows that the main problem of the community is the lack of reader members and structural conditions that are still unclear. As a solution, the community can improve the structural conditions of the community and balance the position between members with reading and writing roles.&lt;/em&gt;&lt;/p&gt;
Premenstrual Syndrome: Presence, Knowledge, and Attitude among Female University Students

Background and objectives: Premenstrual syndrome (PMS) is fairly high and may interfere with personal and social activities. The current study aims to identify the frequency of experiencing PMS symptoms among students, assess their knowledge and attitude towards PMS and identify their perception of whether PMS has an impact on the academic lives of female university students. Methods: A quantitative cross-sectional study was applied to the current study. An online survey using Google form was conducted among female university students at the College of Nursing/Hawler Medical University. A total of 222 students participated in the current study. A questionnaire was designed to assess PMS symptoms using the criteria of the American College of Obstetricians and Gynecologists, students’ knowledge and attitude towards PMS, the impact of PMS on daily living activity and academic performance, and self-management options. Results: The mean age (+Standard deviation) of the students was 20.77 (+1.876) years and the mean for calculated BMI of students was 22.42kg/m2. The majority of students (70.3%) had regular menstrual cycle with 86% of them having moderate amount of menstrual blood flow. More than half (53.6%) of students responded that they experience PMS, and 34.7% responded that they do not experience PMS. More than half (52.3%) of students obtained good knowledge score and positive attitude towards PMS. Around three quarters (70.3%) of the students responded that PMS disturbs normal routine. Getting plenty of sleep (75.2%), taking hot drinks (72.1%), and applying hot pack (59.5) were among the commonest ways of PMS self-management by students. The data demonstrated no statistically significant association between students’ knowledge score and their stage of study, family history of PMS, regularity of menstruation, experiencing PMS, and knowing about PMS. Conclusion: A considerable number of students obtained good knowledge score about PMS, however, their actual knowledge of PMS experience might be
RESAJANA ZOO – Aplikasi Pengenalan Hewan

Many people do not know the name of the animal if they do not see directly the characteristics of the animal, this is caused by a lack of knowledge about the characteristics of the animal and the lack of references regarding these characteristics even though knowing the characteristics of animals is very important for knowledge if someone is in the forest, at sea and in the air With these problems, an animal identification system is made by knowing the characteristics of the animal
Development of Teaching Material Supplements Based on Socio Scientific Issues to Improve Students' Scientific Argumentation Ability

The impact of the Covid-19 pandemic has touched every aspect of people's lives, including health and education. Because there is a lot of ignorance about prevention of Covid-19, it is necessary to have learning media that is easily accepted. E-Books are one of the solutions to provide education about the SARS CoV-2 virus which is given to students as a supplement to teaching materials on viruses. The purpose of this study was to test the validity of teaching steel supplements as learning media on viruses and students' scientific argumentation skills. This research uses the Thiagarajan 4-D model development method (Define, Design, Develop, Disseminate). The data analysis technique used is descriptive data analysis including the validity of responses from users and the effectiveness of the products tested on class X MIPA 1 student of SMAN 1 Bandar Lampung. The results showed that the developed e-book had valid criteria by material experts with a score of 75.00% and very valid by media experts with a score of 95.83%. Students and teachers responded to the e-book used in learning, respectively 92.17% and 94.38% with very valid criteria. Analysis of students' scientific argumentation abilities showed moderate criteria with an average N-gain value of 0.52. Thus, the teaching material supplement in the form of an e-book that is being developed can be used as a biology learning medium to improve students' scientific argumentation skills.
Beyond the Pocket: Preparing a Study on the Variations of Wearable Device Location

Wearable devices have become ubiquitous in our daily lives, constantly collecting and analyzing data based on our activities. However, what these devices measure and, therefore, the accuracy of algorithms using this data can be influenced by the device's placement. For instance, a smartphone in a handbag might not track steps as accurately as one in a trouser pocket. The varied locations in which individuals wear devices is underexplored. We intend to conduct a cross-sectional study surveying the most common ways people wear and utilize wearables in their daily lives. We expect the results of this study to influence how research and industry use the sensor data produced by wearable devices, ultimately leading to more precise algorithms that produce satisfying results for a more diverse set of users.
360 Robot Hand System for Omni-directional Interaction by Multiple Users

The rise of diverse digital environments like digital twins and the metaverse emphasizes the importance of telepresence methods for linking users across different spaces. These methods aim to boost communication and services between these spaces. This paper introduces RHS360, a 360-degree robot hand system designed for inter-spatial communication. RHS360 ensures the robot hand aligns precisely with the user in cyberspace, adjusting based on the user's movements in the virtual realm. This enables the robot hand not only to aid communication and gestures but also to convey crucial social cues, enhancing the overall communication experience. Additionally, a user survey was conducted, revealing that observing the robot hand's movements significantly improved understanding their partner's thoughts and fostered a greater sense of intimacy. These findings suggest that the proposed method enhances communication between different spaces.
Real-Time Image-Based Automotive Sensing: A Practice on Fine-Grained Garbage Disposal

This research presents a real-time automotive sensing system for the data of urban garbage disposal. The proposed solution is implemented on an edge computing device mounted on garbage truck where a deep learning based image processing algorithm is implemented to automatically counted the number of collected garbage bags from garbage collection video. A MQTT-based data server was developed to enable data publication from sensing device to server and data accumulation and to facilitate application development. Our system has the functions of high concurrency and low transmission delay, offline reconnection, breakpoint transmission and client authentication. This work is to provide a real-time, low-cost, reliable and replicable system for the implementation of a widespread sensing network for automotive edge computing and smart city applications.
EXPERT SYSTEM FOR DIAGNOSING TOMATO PESTS AND DISEASES USING FORWARD CHAINING METHOD

Tomato (solanum lyco persicum) is a plant from the solanceae family, native to Central and South America, from Mexico and Peru. Tomatoes have a short life cycle and a height ranging from 1 to 3 meters. Currently, farmers often experience disturbances from pests and diseases of tomatoes due to a lack of knowledge. They do not know how to control it and to eliminate pests that reduce productivity. In identifying diseases in tomato plants we use the Forward Chaining method which is a description that starts from knowing the facts and then matching them with IF and IF-THEN rules. Diseases with a high prevalence in tomatoes are: fruit worms, earthworms, green aphids, white flies, fruit flies (bractrotera) and the diseases are: fusarium wilt, leaf spot disease, bacterial spot, fruit rot. This expert system application provides tomato disease information and disease diagnosis, including control solutions that can be used to reduce the risk of tomato crop damage&#x0D; &#x0D;
REPTILE: a Tool for Replay-driven Continual Learning in IIoT

We present an automated Machine Learning (ML) tool designed as a continual learning pipeline to adapt to evolving data streams in the Industrial Internet of Things (IIoT). This tool creates ML experiences, starting with training a neural network model. It then iteratively refines this model using fresh data while judiciously replaying pertinent historical data segments. When applied to IIoT sensor data, our tool ensures sustained ML performance amid evolving data dynamics while preventing the undue accumulation of obsolete sensor data. We have successfully assessed our tool across three industrial datasets and affirm its efficacy in dynamic knowledge retention and adaptation.
User Requirements Analysis of Digital-Based Solutions for Supporting Disabilities using User Journey Map (Case Study of PSLD Brawijaya University)

Disability is any condition of the body or mind that makes it more difficult for the person with the condition to do certain activities and interact with the world around them. Persons with disabilities need assistance in various fields related to their limitations to improve their quality of life. Either area that needs to be optimized to fulfill the rights of persons with disabilities is inclusive education. Brawijaya University supports inclusive education by establishing an organizational institution called Pusat Studi dan Layanan Disabilitas Universitas Brawijaya (PSLD UB). PSLD UB provides peer tutoring services by involving non-disabled students (volunteers) to assist students with disabilities during academic activities. So far, the process of implementing peer tutoring has often encountered problems due to schedule changes or other unexpected activities, causing schedule mismatches between volunteers and students with disabilities. To fulfill disability rights, it’s necessary to have a digital solution in peer tutoring activities, while to design the solution it’s necessary to analyze the right user requirements. Therefore, the purpose of this research is to analyze user requirements to optimize user experience, so that developers can use it to develop peer tutoring systems. This study applies a User Journey Map to analyze user requirements to know the description of the user's steps in achieving the goal. The selection of respondents was based on purposive sampling technique with the criteria of respondents who had carried out the peer tutoring process. From the results of this study, it was found three main features that suit user requirements are automatic replacement, emergency requests, and list of available volunteers.