Reviewerly/exHarmony huggingface dataset:
Section of monuments of Science and technology VOOPIK: history and main activities (on the example of the Sverdlovsk and Chelyabinsk regions)

The object of the study is the section of monuments of science and technology of the VOOPIK. The subject is the activity of the section of monuments of science and technology for the identification, study, accounting, preservation and updating of the corresponding category of monuments. The purpose of the study is to reconstruct the history of the emergence and functioning of this structural unit in the 1960s-1980s. The territorial framework is limited to the Sverdlovsk and Chelyabinsk regions, the leading industrial regions of the Urals, on the territory of which there were a large number of monuments of science and technology, monuments of industrial heritage. The author studies the history of the formation of the section of monuments of science and technology, and also gives a description of various types of its activities on the materials of the Sverdlovsk and Chelyabinsk regions. The problem posed has not yet been the subject of special study, and has only been touched upon in the context of the study of history in general of the All-Russian Society for the Protection of Historical and Cultural Monuments and its regional branches, in particular. This determines the scientific novelty of the article. The source material is represented by archival materials, many of which are being introduced into scientific circulation for the first time, for example, unique information about the project to create a Museum of the History of Science and Technology in Chelyabinsk. The author comes to the conclusion that there were both similar directions and significant differences in the activities of these sections. This was determined by several reasons. Of great importance was the personal factor, which also influenced the effectiveness of the functioning of the section of monuments of science and technology
Mobile Learning as an Educational Resource to Foster Motivation

Motivation plays a pivotal role when learning a foreign language. It is a relevant factor in determining the willingness of students to learn. This documentary research is aimed at analyzing previous studies regarding the motivation of university students at an intermediate level to learn English as a foreign language (EFL thereafter) using Mobile Learning (also known as M-Learning). This study focused on how mobile learning is used and approached in English classes as well as its influence on students' motivation. This body of information effectively showed that Mobile Learning and its implementation in English lessons contribute to increasing students’ motivation. This type of learning will not replace teachers, but it can become an innovative resource through the current and emerging mobile educational applications.
PEMBUATAN DAN PENGUJIAN ALAT PEMBANGKIT LUCUTAN PLASMA UNTUK PENINGKATAN BAKU MUTU AIR LIMBAH TEKSTIL

Textiles Industry is one of the leading industries and is an industries that will keep on growing due to the large market offered in Indonesia especially Bandung. However, the industry produces wastewater often times not correctly treated and could be dangerous to environment. BOD concentration number in the test object textiles wastewater was almost double the requirements of the maximum allowed BOD level established by Regulation of The Minister of Environment and Forestry Republic Of Indonesia Number P.16/MENLHK/SETJEN/KUM.1/4/2019.&#x0D; Plasma Treatment offers a rather effective procedure to increase quality of wastewater and have been developing for decades now. Non-Thermal plasma produced by high voltage through electrodes gives electron reaction to oxygen which could be used to produce active species which will oxidize organic material. The experiment produce a non-thermal plasma produce by a high voltage and electrodes gives up to 83% reduction of BOD number, pH decrease to 4,72%, TDS increase to 6,57%, as well as reducing appearance of colour. This can be made possible because of the active species produced by gas phase plasma.&#x0D;
Comparison of AI-Based Algorithms for Low Energy Communication

Spectrum environment is more and more crowded by the presences of wireless sensor network (WSN), but radios still present an irregular quality of service (QoS) with a strong signal disturbances in their vicinity. Here, the main disturbance factors at the analogue level restricting the performances of radios using the 802.15.1 protocol are presented. The variety of solutions existing today, dummy as well as artificial intelligent (AI) based, are compared. A discussion of their advantages, their limiting conditions and their evolution is proposed.
A STUDY OF EFFECTIVENESS OF COGNITIVE BEHAVIOURAL THERAPY ON SELF-CONCEPT OF SECONDARY SCHOOL STUDENTS

In general, children who have a warm and secure relationship with their parents/career are more likely to have a positive self-concept. In present study, the researcher studied the effectiveness of cognitive behavioural therapy on self-concept of Grade IX students. The researcher selected a sample of 68 students from Sakar English School. These students were distributed in two different groups using a pair match method according to their scores of Self-Concept Scale. It was revealed that cognitive behavioural therapy has a positive effect on self-concept of secondary school students. It was also revealed that the cognitive behavioural therapy is equally
Bridging the generation gap: Improving empathic accuracy by Personas

With the aging population increasing, understanding this emerging user group is a current important topic. Past research has indicated that personas are beneficial for young designers to make inferences about the elder group, and can evoke creativity. Therefore, this research has adjusted the existing personas for better results in both aspects. This research has added the identity category to the existing personas, expecting that it would guide young designers to be aware of the identities of the video characters other than the elders, thus considering more potential needs and be able to understand the characters by their words instead of the group they belong to 17 students with design background were recruited in this research. They watch the interviews of the elders and write different versions of personas, followed by scoring through empathic accuracy process and creativity evaluation process. The results of the research indicated that, adding the identity category to the personas did enable to find more potential needs, however, it did not have any effect on empathic accuracy. Compared to the current design process that emphasizes on improving the empathy of designers in order to recognize a wider range of needs, this research suggests that improving the ability to identify needs does not necessarily require “reading minds” of the users, that is, having to fully understand the thoughts and feelings of users does not necessarily lead to creativity; by letting designers be aware of the identity categories of the group, the potential of recognizing needs can be expanded, thus bringing more possibilities to design.
PEMANFATAAN KOLEKSI ANAK DI PUSTAKALANA CHILDREN’S LIBRARY UNTUK KEGIATAN MEMBACA NYARING

In a child's learning process, the read-aloud method is a simple literacy practice that has a big impact. Pustakalana Children's Library created a program that focuses on reading aloud. A quality children's reading collection is needed to help children increase their interest in reading. Likewise, the role of librarians and parents who read aloud the collection. This study aims to look at the phenomenon of utilizing children's collections at Pustakalana for reading-aloud activities. The research method used is a qualitative case study method with data collection techniques through observation, interviews, and documentation. Based on the results of the study, shows that reading is very important in children's lives because reading activities can form imagination patterns, and gain knowledge to activate children's creativity. Doing the read-aloud method to children can accelerate the development of their way of thinking to be more critical. Pustakalana facilitates read-aloud activities to improve children's reading and creativity through papercraft-making activities. However, the role of parents as role models for children in the family environment is also very important. Parents should set a good example by reading books out loud to their children. Reading regularly is the key to the success of this reading method.
Multiobjective Prioritized Workflow Scheduling in Cloud Computing Using Cuckoo Search Algorithm

Effective workflow scheduling in cloud computing is still a challenging problem as incoming workflows to cloud console having variable task processing capacities and dependencies as they will arise from various heterogeneous resources. Ineffective scheduling of workflows to virtual resources in cloud environment leads to violations in service level agreements and high energy consumption, which impacts the quality of service of cloud provider. Many existing authors developed workflow scheduling algorithms addressing operational costs and makespan, but still, there is a provision to improve the scheduling process in cloud paradigm as it is an nondeterministic polynomial-hard problem. Therefore, in this research, a task-prioritized multiobjective workflow scheduling algorithm was developed by using cuckoo search algorithm to precisely map incoming workflows onto corresponding virtual resources. Extensive simulations were carried out on workflowsim using randomly generated workflows from simulator. For evaluating the efficacy of our proposed approach, we compared our proposed scheduling algorithm with existing approaches, i.e., Max–Min, first come first serve, minimum completion time, Min–Min, resource allocation security with efficient task scheduling in cloud computing-hybrid machine learning, and Round Robin. Our proposed approach is outperformed by minimizing energy consumption by 15% and reducing service level agreement violations by 22%.
How do Special Needs Children Learn Arithmetic Operations? Analysis Mathematics Learning Trajectory of Mentally Retarded Students Based on Constructivism Theory

Mentally retarded students have different learning trajectories for understanding mathematics concepts. This study aims to analyze the learning trajectory of mentally retarded students based on constructivism theory. Through a qualitative approach with the natural observation method. The instruments used in this study were observation sheets, interviews, and documentation. From the three results, the data will be validated through a technical triangulation process to obtain research findings. This study involved three students from the 6th grade with mental retardation who obtained some learning trajectories in the multiplication operation. The first learning trajectory is carried out through the process of repeated addition according to the number being multiplied, even though conceptually it is incorrect. Second, use the stake (turus system) to write down the unit place, and last, use the stake (turus system) to write down the value of the whole number. In constructivism, mentally retarded students can build their own ideas to solve multiplication operations according to their own learning trajectories. The results of this study can be implicated in the learning process and as a hypothetical learning trajectory for mentally retarded students.
Enhancement of Labour’s Health by Solar and AI based Sander Machine

The use of sanding machines in construction and painting processes has become increasingly prevalent. These machines use abrasive belts, discs, or sheets to smooth the surface of wood, plastic, or composites. The sander machine is designed with wheels for easy movement and can be powered by solar energy generated from a solar panel, reducing electricity usage, especially during winter and overcast weather. However, the use of sanding machines also leads to the release of dust, which can impact the environment, climate control, aviation, and human health. To mitigate these effects, it is essential to monitor dust levels and trigger an automatic switch to prevent accidents and malfunctions. To further reduce the amount of dust produced, the sander machine also includes a vacuum that helps to clean and remove dust particles from the surface.
Cancer Prediction using Adaptive Boosting Tech Web App

Cancer is a complaint that is characterized by the development of abnormal cells that multiply themselves and spread to the other parts of the body. Breast cancer is one that spreads in the cells of the breast. It can occur in one or both breasts. Generally, it occurs in women but in a rare case, it occurs in men. The cause of breast cancer can be due to regular activities like food intake, smoking, tobacco, intake of alcoholic content, etc. It can also be caused due to genetics. This study presents a web app using the Adaptive Boosting technique for detecting breast cancer which is trained and estimated on numerical data such as mean_radius, area_error, smoothness-error, etc. After analysis the Adaptive Boosting (AdaBoost) model has achieved 97% accuracy compared to other algorithms. Further these algorithms can be modified with their mathematical models to increase the prediction of breast cancer.
A Comparative Study of Skill Development and Job Portals

To simplify the processing alerting people with new employment opportunities and to make the recruitment process easier and less expensive, various Job Portal applications are developed. Nowadays, Job Portal is the most often utilised application in the internet-based recruitment process. It also aids in lowering the overall cost of the recruitment project. However, because it is a well-known platform, there are several providers of the same. LinkedIn, Naukri.com, and other well-known job portals are examples. These platforms employ a variety of ways to deliver various features such as job suggestion systems, resume ranking, application tracking and so on. However, in order to be successful in finding work, one needs to possess the necessary abilities. Different sites, such as Udemy and Coursera, also provide these skills. In this study, several Job Portals as well as Skill Development apps are studied. Furthermore, a more research emphasis is dedicated to know how jobs and skills are interdependent on each other.
Automated Emails and Data Segregation using Python

Automated email handling has become an essential aspect of managing emails in today’s digital age. However, to support this automation, specific types of data and computation are required, and data management is critical to ensure the right information is provided at the right time. This requires a basic understanding of databases and Database Management Systems (DBMS). Automated email refers to any message sent automatically in response to a user’s actions or inactions on a website or web app. Automated email can enhance customer engagement, loyalty, and retention.
Development of LKPD Writing Exposition Text Based on the Discovery Learning Model for Class X High School Students

This research was conducted with the aim of creating product development LKPD writing an exposition text based on the discovery learning model, describing feasibility the LKPD, and test eligibility the LKPD for students class X high school. The method in this study uses the research and development (R&amp;D) method belonging to Borg and Gall. The subjects in this study were class students X in the SMA Negeri 5 Bandarlampung. This study uses data collection techniques by means of documentation, observation, interviews, and questionnaires in the SMA Negeri 5 Bandarlampung. The data obtained in this research was then analyzed using a qualitative descriptive technique. The results of this study show that LKPD Menulis Teks Eksposisi Berbasis Model Discovery Learning has been successfully developed into a product needed by students. Material experts, media experts, and practitioners stated that the student worksheets were declared very feasible for use by students with 93 assessment presentations. Student worksheets were considered effective for improving the ability to write exposition texts for each student in the SMA Negeri 5 Bandarlampung with an N-gain value of (0.48) included in the very good category.
Impact of Physical Tool Designs on User Embodiment of Tools in Virtual Reality

Virtual reality (VR) users typically interact with the virtual world in two main ways: through the hand-held controller or body motion tracking. With the development of tracker technique, it is a promising direction for designers and developers to enrich the interaction by adding more possibilities to physical tool designs combined with the tracker in VR. The virtual representation of the tool can be varied in VR applications, but the real-time haptic interaction that physical tools provide is usually limited. Little is known about users’ embodied perception of the tool in VR, and research has not yet determined how different physical tool designs affect users’ sense of tool embodiment. This research explores the effect of physical tools on tool embodiment in VR. Six physical tools with different hand grasping gestures were designed and applied in the experiment of the user study. The findings reveal that one physical tool significantly differed from the virtual representation was rated the lowest self-reported tool embodiment and negative feedback from users. This study offers the design recommendation for physical tools with trackers for VR applications and expands existing research on tool embodiment.
Separated Model for Stopping Point Prediction of Autoregressive Sequence

While the language model using the stop sign as an independent token has been widely used to decide when the model should stop, it may lead to the growth of vocabulary dimensions and further problems. Similarly, present research on game algorithms usually estimate stopping point related problems based on the evaluation of the winning rate. However, information redundancy may also exist in such models, thus increasing the training difficulty. Above two types of tasks (and similar autoregressive tasks) show a common problem of stopping point prediction. In this paper, we describe a design of separated model, trying to separate the complexity of stopping point prediction from the main task model, so that the information used for estimating stopping point can be reduced. On this basis, in order to verify the rationality of using separated model, we propose a model-free test method. It judges the separability of transformed data based on point difference and sequence difference metrics. In this way, it can predict the credibility of the separated model inference.
Post Quantum KEM authentication in SPDM for secure session establishment

The Secure Protocol and Data Model (SPDM) is a protocol that can be used to authenticate a hardware identity and to establish secure communication sessions between devices. A number of recent research efforts has been investigating ways of enabling post-quantum cryptography (PQC) in the current SPDM version 1.2. However, measurements show that the current PQC digital signature algorithms are a major performance bottleneck, which may become an obstacle to the adoption of quantum-secure SPDM versions. This paper describes a new way to use PQC key establishment algorithms to perform identity authentication. Our experimental results show it can achieve much better performance, especially on the device side.
Detection and Classification of Objects in Video Content Analysis Using Ensemble Convolutional Neural Network Model

Video content analysis (VCA) is the process of analyzing the contents in the video for various applications. Video classification and content analysis are two of the most difficult challenges that computer vision researchers must solve. Object detection plays an important role in the VCA and is used for identification, detection and classification of objects in the images. The Chaser Prairie Wolf optimization-based deep Convolutional Neural Network classifier (CPW opt-deep CNN classifier) is used in this research to identify and classify the objects in the videos. The deep CNN classifier correctly detected the objects in the video, and the CPW optimization boosted the deep CNN classifier’s performance, where the decision-making behavior of the chasers is enhanced by the sharing nature of the prairie wolves. The classifier’s parameters were successfully tuned by the enabled optimization, which also aids in producing better results. The Ensemble model developed for the object detection adds value to the research and is initiated by the standard hybridization of the YOLOv4 and Resnet 101 model, which evaluated the research’s accuracy, sensitivity, and specificity, improving its efficacy. The proposed CPW opt-deep CNN classifier attained the values of 89.74%, 89.50%, and 89.19% while classifying objects in dataset 1, 91.66%, 86.01%, and 91.52% while classifying objects in dataset 2, compared to the preceding method that is efficient.
Playful-pedagogical strategy to strengthen intercultural identities and school experiences

This research arises from the multicultural encounter and misencounter experienced in a first grade classroom in a public educational institution in Bogota. Therefore, the research focused on understanding multiculturalism in this educational context, the experiences and coexistence, in order to transform it into healthy coexistence and that this would result in the educational pedagogical field. As a sample, 10 first grade students of the school Antonio José de Sucre IED, among which there are migrant children, displaced, Afro-descendants and descendants of indigenous communities. Through the qualitative research methodology "Action Research", the diagnosis and characterization of the students was made, the coexistence problems were identified and the intervention was done through the design and implementation of the ludic pedagogical strategy (classroom project). The classroom project allowed addressing the inclusion processes generating the enrichment of the educational process and the healthy coexistence in the classroom. Therefore, the organization of this document is divided into three parts, first, the theoretical and referential support, the objectives and the problem statement, then the second part is composed of the implementation and development of the project where the methodological elements are exposed and thirdly, the results and conclusions are detailed where the strengthening and understanding of various processes of inclusion is observed, which positively influences school dynamics.
Heralded gate search with genetic algorithms for quantum computation

In this paper we present a genetic-algorithm-based search technique for linear optics schemes, performing two-qubit quantum gates. We successfully apply this technique to find heralded two-qubit gates and obtain schemes with performance parameters equal to the best currently known. Simple metrics are introduced which enable a comparison of schemes with different heralding mechanisms. The scheme performance degradation is discussed for the cases when detectors in the heralding part of the scheme are not photon-number resolving. We propose a procedure for overcoming this drawback which allows us to restore the reliable heralding signal even with non-photon-number-resolving detectors.