Reviewerly/exHarmony huggingface dataset:
Need Analysis for The Development of Augmented Reality-Based Electronic Design Application in Secondary School Design and Technology (D&amp;T) Subject

Students should be introduced to computer programming in order to generate computer programming experts. However, there are many constraints in introducing students to the basics of programming and microcontrollers in Design and Technology subjects in schools. The use of the latest technology is becoming a demand in implementing the best teaching and learning and it has been an essential component of the educational process. One of the latest technologies used in education is Augmented reality which has a positive effect on students' learning. The study used a Design and Development Research (DDR) design consisting of three phases. This paper discusses the findings of the first phase (needs analysis) of the study, which was conducted to determine challenges in the implementation of the second form Design and Technology curriculum, the potential use of mobile devices in teaching and learning, as well as the need for the development of augmented reality-based Electronic Design learning applications as an aid in teaching in secondary school D&amp;T subjects. Online surveys were employed in this study, and they were sent to second-form RBT teachers via school email. Statistical Packages for Social Science (SPSS) version 27.0 was used to perform a descriptive analysis of the study's data using the mean (M) and standard deviation (SD). Based on the analysis of survey data among 138 respondents, it was discovered that the average mean value for the challenge aspect of T&amp;L implementation for D&amp;T subjects was at a moderate level (M = 2.68, SP =0.52), indicating that there is still much space for improvement in this aspect. Electronic Design is the topic that is the most challenging to implement into the second-form D&amp;T curriculum. High levels of agreement were found in a descriptive examination of the teacher's perceptions of the possible usage of mobile devices (M = 4.10, SD = 0.68). The average mean for the study of the development need of the augmented reality-based electronic design application is high (M = 3.89, SD = 0.55), indicating that it is necessary to develop it as a support material for second-form D&amp;T courses. The findings of this study are crucial in ensuring that the design and development of a mobile application as a teaching aid for microcontroller education are put into practice and have a positive effect in enhancing secondary school students' literacy in programming.
Needs Analysis on Robmanjar (Learning Partner Robot) Game Design to Stimulate Early Childhood Literacy

&lt;p&gt;&lt;em&gt;The purpose of this study was to analyze the learning needs of early childhood by designing the Robmanjar&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;(&lt;/em&gt;&lt;em&gt;Learning&lt;/em&gt;&lt;em&gt; Partner Robot) game to stimulate the development of basic literacy in children's SPNF SKB Pontianak City Playgroup. The design of the Robmanjar game was prepared based on an analysis of the needs of the children's learning outcomes in the Pontianak City SPNF SKB Play Group in the first quarter of the odd semester of the 2022/2023 school year. The research method used &lt;/em&gt;&lt;em&gt;was&lt;/em&gt;&lt;em&gt; survey research. The number of respondents consisted of 1 educator, 8 parents of students&lt;/em&gt;&lt;em&gt;,&lt;/em&gt;&lt;em&gt; and 8 children of the SPNF SKB Playgroup in Pontianak City. Data collection techniques us&lt;/em&gt;&lt;em&gt;ed&lt;/em&gt;&lt;em&gt; interviews, observation&lt;/em&gt;&lt;em&gt;,&lt;/em&gt;&lt;em&gt; and questionnaires. The data analysis technique used was descriptive quantitative and qualitative analysis. The results &lt;/em&gt;&lt;em&gt;showed&lt;/em&gt;&lt;em&gt; that the average results of the elements of achievement in learning the basics of literacy &lt;/em&gt;&lt;em&gt;were&lt;/em&gt;&lt;em&gt; still low because the level of achievement of children who develop&lt;/em&gt;&lt;em&gt;ed&lt;/em&gt;&lt;em&gt; as expected &lt;/em&gt;&lt;em&gt;was&lt;/em&gt;&lt;em&gt; still below 50%. The details of the developmental achievements of the elements of the basics of child literacy in the Pontianak City SPNF SKB Play Group &lt;/em&gt;&lt;em&gt;were&lt;/em&gt;&lt;em&gt; 40.6% of children who ha&lt;/em&gt;&lt;em&gt;d&lt;/em&gt;&lt;em&gt; not yet developed; 42.2% of children started to develop; 15.6% of children developed as expected; and 1.6% of children developed very well. For the learning achievement elements of basic literacy to increase, it is necessary to design types of games that can stimulate children's development in the learning achievement elements of basic literacy. The Robmanjar game is expected to stimulate aspects of child development in the Pontianak City SPNF SKB Playgroup in the learning achievement elements of basic literacy&lt;/em&gt;.&lt;/p&gt;
Supplemental Material: How does weathering influence geochemical proxies in Paleoproterozoic banded iron formations? A case study from outcrop samples of the 2.46 Ga banded iron formation, Hamersley Basin, Western Australia

&lt;p&gt;Figure S1: The RGB image of sample 27-2 and 29-1. Figure S2: Correlations between REE+Y signatures and Al content in outcrop and core samples. Supplemental Text S1: ICP-MS measurement method. Table S1: Geochemical data of the reference geostandards.&lt;/p&gt;
Scrum-based Agile Maturity Assessment in Physical Product Development

Agile methods are increasingly being implemented in physical product development disciplines, such as automotive development. Once agile methods have been successfully introduced, teams strive to determine the status quo of their agile maturity. For this purpose, agile maturity models have been developed, but these models primarily refer to software development. This work aims at deriving a model that is suitable for teams in physical product development and is based on the agile framework Scrum. The presented Agile Maturity Model consists of eleven dimensions and five levels. In addition, the dimensions that have a high influence on the agile maturity of teams were identified during a study. These are: Agile Events and Iterative Approach, Backlog Management, Team and Agile Values and Principles.
Structure-based Similarity Searches for Improving Component Repetition in Plant Engineering

In plant engineering, all products are unique. Nevertheless, it should be possible to find and reuse as many repeat parts as possible. Existing search tools in PDM systems are not suitable for this purpose, since they are too uneconomical in terms of data maintenance in view of the small quantities of plant prod-ucts, or they are originally designed for retrieving individual parts, but not building structures. This paper proposes the ap-proach of performing repeated searches on the basis of similar building structures and combines concepts of fuzzy searches with the traversal of product structures for this purpose.
Generative Models for Feature-Based Product Development as a Basis for Hybrid Decision-Making

This paper investigates the general possibility for applying generative models in the early phase of product development. For this purpose, the fundamentals of feature-based product development are introduced and related to the development methodology VDI 2221 alongside a brief overview of deep generative models. Based on this, a conceptual framework is developed that combines the methods and proposes a collaborative approach. In conclusion, a prototypical implementation is performed by training a StyleGAN2 based on vehicle profiles followed by executing a GANSpace principal component analysis. Finally, the various results are presented and the possibilities of manipulating the generated images based on identified features are discussed and transferred back into the product development process.
Towards a Framework for Identifying Relevant Information in regard to Specific Context on the Use Case of Standards and Directives

In a complex landscape of engineering requirements and knowledge represented by standards and directives, navigating and interpreting context-specific information remains a substantial challenge. A novel approach to address this issue is presented, introducing an information extraction framework for identifying product and context-specific, relevant information within unstructured text. The methodology employs Natural Language Processing techniques in a pipeline to parse text from various resources. Different stages for introducing context are proposed based on a trade-off between speed, accuracy, and storage capacity. An initial test focuses on the identification of inspection requirements of piping, while illustrating other potential applications such as an external reference cluster.
Ontology-based knowledge provision for decision support in product development

The product development process confronts engineers with numerous decision problems. In this context, it is a challenge to consider all underlying heterogeneous data sources and decision methods to avoid incorrect decisions. Regarding these issues, ontologies offer the possibility to represent knowledge in a structured and adaptable way. Thus, this contribution proposes a methodical conception of a product development ontology and a novel approach to support developers in solving interrelated decision problems by providing relevant knowledge in a target-oriented way. In addition, the application is demonstrated by an exemplary development scenario for the axle design of a micromobility solution
African vultures optimization algorithm based Choquet fuzzy integral for global optimization and engineering design problems

Addressing complex optimization problems demands innovative solutions capable of navigating the interdependencies among variables, a reality often oversimplified by traditional metaheuristics. To address this challenge, this paper presents an enhanced African Vultures Optimization Algorithm, termed ci-AVOA, that incorporates the Choquet Integral, a powerful operator adept at considering criteria significance and interconnectedness in optimization scenarios. Unlike its predecessor, the ci-AVOA treats optimization problems in their true complexity by recognizing and accounting for the relationships between variables. The performance of ci-AVOA is evaluated on ten CEC2020 benchmark functions and four engineering design problems, pitted against other renowned optimization algorithms and the original AVOA. Across low and high dimensional benchmark functions, ci-AVOA consistently outperforms its counterparts, underpinning its superiority. This superior performance is further validated using non-parametric statistical tests, solidifying ci-AVOA as an effective and robust tool for tackling complex optimization problems. In essence, this study provides a significant contribution by augmenting a well-known metaheuristic with the Choquet Integral to devise a superior algorithm, ci-AVOA. This innovation extends the problem-solving capabilities of metaheuristics, promising more accurate and robust solutions for complex, real-world optimization problems.
Abdulrazzaq Al-Saadi's Twitter Micro-blogging: Saudi Men’s Writing the Self in Cyberspace

Abdulrazzaq Al-Saadi is considered the first writer of a Twitter memoir, making his memoir thread a significant area of investigation as a cyber writing of the self and as a microblog. Twitter's microblogging service is considered one of the attainable literary practices, and its various recorded productions of such literary works led to the coining of the term ‘Twitterature.’ This paper sheds light on the internet memoir of the Saudi Arabian linguist, and it investigates it as a literary work in cyberspace and as a traditional writing of the self. This research debates that Al-Saadi’s memoir is loyal to the criteria of Arab life narratives. It additionally argues that the writer practices self-censorship and control over his writing as a sign of social and cultural conformity. This work further suggests that Al-Saadi’s memoir thread can be divided into national, familial, and academic categories. Finally, researchers examine the accessibility the memoir achieves as a cybertext and readers' interactions with its different classifications..
Earthquake Source Mechanism and Source Parameters Determination Using Broadband Seismometer

Objective: The main objective of the study is to obtain precise and accurate sources and mechanisms of earthquakes which is a prerequisite for understanding physical processes with the associated fault generating an earthquake. Methods: The technique of waveform inversion and Seisan software are used for the study of source mechanism and hypocentral parameters. Spectral parameters for estimation of earthquake source parameters can be achieved through the software EQK_SRC_PARA. Findings: The obtained spectral parameters have been used to estimate source parameters such as seismic moment (Mo), Spectral corner frequencies (fc), Source radii (r), and stress drops (Δs ). From this study, the earthquake was a shallow focus earthquake at a depth of 40km and duration magnitude Md 4.3. Spectral analysis of the S-phase results in the average moment magnitude 4.2Mw which is different from the magnitude recorded by USGS which is 4.7Mb, stress drop Δs 0.75MPa, average source radius (r)1697.6m, and average corner frequency (fc) 0.75Hz. Waveform inversion results in moment magnitude Mw 2.7 from the combined stations whereas single seismic waveform inversion from the PUC station results in a moment magnitude of 3.6Mw. Novelty: Determination of earthquake source parameters and mechanisms with more seismic data is significant for improving the current understanding of the dynamic processes governing earthquakes. Keywords: Spectral Analysis; Waveform Inversion; Source parameters; Synthetic Seismogram; Stress Drop
Research on the angle measurement system of bending workpieces based on multi-line structured light

Nowadays, bending workpiece angle measurement methods require touching the surface, which makes them prone to scratching the workpieces and inefficient. To solve the above problems, we propose a non-contact angle measurement system based on multi-line structured light. First, a bilinear laser is projected onto the surface of the workpiece and the machine tool lower die. However, reflections on the smooth workpiece will greatly destroy measurement accuracy. In this work, a UNet-based multi-exposure image fusion strategy is proposed to clip the reflection and increase the workpiece feature. Then, the Steger algorithm is used to achieve high-precision localization of the laser centerline. Finally, the angle of the workpiece is calculated indirectly according to fitting the laser centerline plane. The experimental results demonstrate that the measurement time of each workpiece is less than 100 ms and the measurement accuracy is ±0.3 deg in extreme installation locations and shadow. The proposed system can be extended to real industrial scenarios because of its high efficiency, accuracy, and robustness.
Digitalization of The Construction Industry with BIM and 3D Machine Control Integration for Construction Performance Improvement.

The Government of the Republic of Indonesia through Presidential Regulation Number 100 of 2014 and Presidential Regulation Number 117 of 2015 aims the construction of the 2770 km Trans Sumatra Toll Road from Bakauheni to Banda Aceh to be fully constructed by 2024. There are two key stages in the project phase, i.e planning and construction stages. The planning stage is carried out using the Building Information Model (BIM), while the construction phase integrates BIM with 3D-Machine-Control. This study is conducted in Trans Sumatera Pekanbaru - Bangkinang’s Toll Road with 40 kilometers long as a study case. The data acquisition methodology is conducted using qualitative and quantitative methods throughout the field’s experiments. This study conducted the examination of the LiDAR UAV digital survey’s accuracy, the BIM implementation on Level of Development (LOD) 200, 300, and 400, verification of the usage of Motor Grader with 3D-Machine-Control efficiency in elevation cutting works, and the application of Vibro Compactor with 3D-Machine-Control for improving the accuracy of soil compaction on the subgrade and base course. The results showed that the topographic data from UAV LiDAR are accurate within LE90 accuracy with 0.176 cm. The optimalization of 3D-Machine-Control could carry out the earthworks as similar as design also can be used as quality and quantity control. The time efficiency which obtained from implementing Motor Grader with 3D-Machine-Control for elevation cutting application is 47%.
Experimental Communication Through Superposition of Quantum Channels

Information capacity enhancement through the coherent control of channels has attracted much attention of late, with work exploring the effect of coherent control of channel causal orders, channel superpositions, and information encoding. Coherently controlling channels necessitates a non-trivial expansion of the channel description, which for superposing qubit channels, is equivalent to expanding the channel to act on qutrits. Here we explore the nature of this capacity enhancement for the superposition of channels by comparing the maximum coherent information through depolarizing qubit channels and relevant superposed and qutrit channels. We show that the expanded qutrit channel description in itself is sufficient to explain the capacity enhancement without any use of superposition.
Analysis The Effect of Solar Radiation on The Efficiency of PV Plant 50 kWp Rooftop UNPAM Viktor

The potential for solar energy in indonesia which is a tropical country is very large with an insolation of around 4.5 Kwh/m2/day. Solar energy in the form of radiation waves will affect the power generated by solar panels and the efficiency of solar panels in generating power. This study was conducted at PV plant pamulang university which has a total of 108 panels with 6 strings and 18 panels in each string. The data in this study were taken per string to see the difference of efficiency in each string. The main problem of this study is to find out how much power and efficiency generated by PV plant against solar radiation. The purpose of this study is to understand and analyze the effect of solar radiation on power and efficiency. The method used is a quantitative descriptive method using a seaward irradiance meter to measure the average daily radiation per string and isolarcloud software to retrieve data from the voltage and current per string. The data taken is then calculated using a formula and then described using tables. Study shows that heat from the weather will result in decreased efficiency and the results of the analysis for a day the average value of radiation is 544.19 w/m2, the average power is 4227.79 watt and the resulting average efficiency is 18.57%.
Enhancing Usability of the Academic Information System at Bhayangkara University: A Design Thinking and System Usability Approach

Bhayangkara University implements an information system to assist its academic process, namely SIA (Academic Information System). The high level of usability in SIA affects the smooth running of the academic process. This research uses a combination of design thinking and system usability scale methods as an approach to increase usability in AIS applications. The results show that the SIA application has a high usability value with a B rating scale and the good acceptable category is pleasant for users. Recommendations for improvements based on the method used are increasing server capacity so that SIA can work more relevantly, and effectively, and can use last a long time
Beyond Words: The Neuroscientific and Multifaceted World of Non-Verbal Communication in Modern Society

This publication delves into the intricate world of human communication, extending beyond the realm of spoken and written language to explore the profound influence of non-verbal communication. Focusing on body language&amp;mdash;comprising gestures, facial expressions, postures, and movements&amp;mdash;it reveals the pivotal role it plays in conveying emotions, intentions, and psychological states. The rapidly evolving fields of neuroscience and cognitive science are investigating the neural mechanisms and cognitive processes that underpin the interpretation and utilization of these non-verbal cues. Notably, the amygdala's involvement in processing emotional facial expressions has provided a neurological foundation for our emotional understanding in non-verbal communication. Concurrently, cognitive psychology sheds light on how perception, attention, and memory influence our interpretation of non-verbal cues and communication strategies.In our modern, technologically advancing society characterized by global interconnectivity and cultural diversity, the significance of non-verbal communication, especially in digital and virtual contexts, is paramount. The transformation of non-verbal expression into digital symbols like emoticons and emojis raises questions regarding its ability to maintain authenticity and emotional understanding. This publication endeavors to comprehensively explore the fundamental role of body language and non-verbal communication in contemporary society. By integrating insights from psychology, neuroscience, social sciences, and digital technologies, it aims to elucidate the underlying mechanisms guiding non-verbal communication. Additionally, it delves into the implications of non-verbal communication across diverse domains, including interpersonal communication, the workplace, politics, advertising, and the virtual world.The research presented herein strives to offer a thorough understanding of interpersonal dynamics, relationships, and social behavior, with the goal of promoting the development of more effective, conscious, and ethically guided communication strategies. Ultimately, this analysis aspires to inspire further interdisciplinary research and reflection, addressing emerging challenges and fully leveraging the potential of non-verbal communication in modern society. This, in turn, guides our path towards a communication landscape that is more inclusive, authentic, and empathetic.
Rancang Bangun Turbin Angin Sumbu Horizontal 3 Blade Menggunakan PVC

With the increasing need for electrical energy today, resulting in the use of fossil fuels also increasing and in line with its development, the use of fossil fuels will experience shrinkage, therefore other alternative energy is needed to overcome the decreasing fossil fuels. One form of energy that exists in nature is wind. Therefore, wind turbines are starting to be used as alternative energy. The purpose of this design is to determine the performance of a 3-blade horizontal axis wind turbine and to determine the effect of wind speed on turbine rotation, output power and efficiency generated by the wind turbine. The design method is to design a horizontal axis wind turbine using 3 blades of PVC material with a diameter of 182 cm. The results of the wind turbine design show the theoretical data at the highest wind speed of 7.3 m/s with 606.92 watts of wind power generated. In these conditions it can be seen that the wind speed and blade diameter greatly affect the output power of the design results.