bluuebunny/crossref_metadata_2025 huggingface dataset:
The Comparative Hazards and Benefits of EFBs and Paper Documents in the Cockpit 2016 - 2022
Authors: Mitchell Megan , Strybel Thomas , Battiste Vernol
Published: October 2023

In aviation, the Pilot oversees the gathering all material required to be present in the cockpit. These materials are referred to as a “flight bag” and include performance calculations, charts, and other documents critical to the flight. Due to the volume of documents which can weigh up to 35-pounds, many pilots utilize electronic flight bags (EFBs). A previous archival study from 1995 through 2015 found significant human factors issues with EFBs that include a lack of training, inhibited access to information, and distraction/workload (Sweet & Strybel, 2016). Today, companies such as Airbus have made the use of EFBs as part of their standard operating procedures. The present archival study compared the hazards and benefits of carrying EFBs to the hazards and benefits of carrying paper documents in the cockpit utilizing the NASA Aviation Safety Reporting System (ASRS) from 2016 through 2022 because of the increased use of EFBs since 2016. We found several human factors issues with EFBs such as accessing information, missing or incorrect information in databases, and limitations of the physical EFB apparatus and its auxiliaries.
Remote Haptics: Introduction to a touchless remote inspection system for industrial experts
Authors: Youssef Fady , A Kern Thorsten
Published: October 2023

Physical inspection poses significant risks, such as exposure to hazardous or even impossible working situations like the presence of rotating parts or a high-temperature environment. Remote inspection with robotic platforms is therefore an established method. This paper introduces a prototype of a touchless remote inspection system for industrial experts, combining both visual and haptic feedback. The system is split into two sub-systems, user- and environment-side.The user side consists of a wearable hand glove, arm exoskeleton, and a VR headset. The environment side consists of a robotic arm, stereo camera, and sensor system mounted on the TCP of the robotic arm that acquires the object properties touchless. The glove and the arm exoskeleton are used to teleoperate the robotic arm and the data gathered by the sensor system are transcoded into haptic signals and realized using actuators mounted on both the glove and the arm exoskeleton. A Robot Operating system (ROS) environment acts as a signal interface between the two sub-systems and gives the opportunity to create a digital twin for testing and applying new control algorithms.To allow a natural feeling in inspection, the sensor system with µm accuracy is used to acquire objects' properties, such as shape, texture information, and vibration. This system consists of a Structured Light (SL) camera with an accuracy of 30 µm at a range of 0.3 m, along with a Continuous Wave (CW) radar sensor.The glove and the arm exoskeleton are designed to allow the natural movement of the user's hand and arm. Twelve IMU sensors measure the fingers’ joints to calculate the fingertips' positions and the orientation of the palm, while the exoskeleton has five Degrees of Freedom (DOF), four for the shoulder, and one for the elbow. On the other hand, they are equipped with different types of actuators to allow the proper haptic feedback. The glove is equipped with Linear Resonance Actuators (LRA) to allow tactile feedback and a braking mechanism for kinesthetic feedback. Another braking mechanism is used in the arm exoskeleton in order to give the proper feedback in the case of collision, for example.With the accuracy of the SL camera, several algorithms are implemented, with the fingertips' positions as input, to extract the texture information and detect the object's shape from point cloud data created by the SL camera. Another algorithm is implemented to make use of the high accuracy of the radar sensor, especially in the case of a vibrating object, to allow the inspection of such dangerous and rather impossible objects physically. The output of these algorithms is then mapped into haptic signals and sent to the user side.The live visual feedback from the stereo camera is fed to a VR/AR environment. Also, the haptic glove is augmented in the environment. The stereo camera is mounted on a mechanism independent of the robotic arm. This mechanism allows mimicking of the user’s head movements while wearing the VR headset with a current latency of 400 ms.
Advancing Web Accessibility: Evaluating and Analyzing an Educational Platform for Respiratory Therapies
Authors: Acosta-Vargas Patricia , Acosta-Vargas Gloria , Carrión Mayra , Santórum Marco , Ayala-chauvin Manuel , Ortiz Prado Esteban , Maldonado-Garcés Verónica-Gabriela , Esparza Wilmer , Madera Camila , Gonzalez Mario
Published: October 2023

This article presents the design and evaluation of an accessible digital respiratory rehabilitation therapeutic education platform. Its primary goal is to promote inclusive technologies for individuals with respiratory needs. The platform was developed with adherence to the Web Content Accessibility Guidelines (WCAG) 2.1, ensuring practical usage up to level AA for people with disabilities or functional limitations. A multidisciplinary team of healthcare professionals, web developers, and accessibility experts collaborated on the project. The design process incorporated considerations such as content organization, color contrast, descriptive labels, screen reader compatibility, and keyboard navigation. The results demonstrated a high level of accessibility, emphasizing the platform's effectiveness in providing accessible educational resources for respiratory rehabilitation. This research underscores the significance of web accessibility in supporting individuals with respiratory needs throughout their therapeutic journey and discusses future improvements and research avenues.
Human-Technology Interaction and Future of Work: Science, Logic and Architecture Perspectives on Designing Service Platforms for Future Work
Authors: Warg Markus , Frosch Markus
Published: October 2023

Motivation and PurposeThe research of this paper is about the phenomenon of “pull” or more concise about "how companies can design service platforms as opportune strategy to connect with other actors and to pull from that network the capabilities required to address unexpected needs" (Hagel, Brown et al. 2010, McGowan and Shipley 2020). To contribute to the knowledge creation in this context, the paper takes a service lens and draws on science, logic and architecture perspectives for studying and building models. The purpose of this conceptual paper is to derive implications for the design of service platforms as structural models of organizations to improve human-technology interaction, change and the future of work (Jaakkola 2020, Spohrer, Maglio et al. 2022).Methodology and ApproachReferring to the research a conceptual paper as methodology and within this methodology the research design “model” is selected (MacInnis 2011, Gilson and Goldberg 2015, Jaakkola 2020). A conceptual paper as methodology is picked to bridge existing theoretical perspectives and concepts in interesting ways, link work across disciplines, and broaden the scope of our thinking. The research design “model” facilitates to build a theoretical framework that explains and predicts relationships between the key elements and processes (Jaakkola 2020).To address the key elements of the phenomenon “human-technology interaction and the future of work” a service lens with Service Science and Service-Dominant Logic as domain theories is chosen. Service Dominant Architecture as method theory is used to explain the relationships between the elaborated key elements and to derive the relevant building blocks for the design (pattern) of service platforms for human-technology interaction and the future of work. Findings The paper demonstrates that a service lens, a service-dominant mindset and the perspectives of science, logic and architecture are appropriate to model and describe the phenomenon of “pull” and to derive implications for the design of service platforms. The key elements and building blocks of the “pull” process – understood as the ability to draw people and capabilities out of actor-to-actor networks – are elaborated and design (pattern) for service platforms are evolved. By describing the interplay of the key elements using the example of a service platform for future work based on the elaborated (design pattern) the paper demonstrates how “pull effects” are exploited and human-technology interaction can be improved via a service platform.
Improving sustainable production in the context of Industry 4.0 technologies adoption - Evidence from metalworking Industry
Authors: Patalas - Maliszewska Justyna , Mrugalski Marcin
Published: October 2023

Nowadays the industry places a greater focus on the integration of production and sustainable development and on improving the sustainability efficiency. It is still the research niche to understand the specific factors regarding the progress of activities towards sustainable production. This study has used literature analysis to describe sustainable production (SP), in terms of implication of the Industry 4.0 technologies and a questionnaire survey, which was conducted within 84 small and medium sized enterprises metalworking Industry in Europe, Poland. The questionnaire in this article considers the factors describing the level of SP in the enterprises of metalworking industry and also the level of the implementation of selected Industry 4.0 technologies, namely: cyber-physical systems (CPSs) and robots. Next, a statistical analysis was conducted using correlation coefficients. The highest correlation was observed in the case of applying CPS systems into SMEs company metalworking industry and improving the level of SP, respectively in the area: (1) environmental: considering implementation of climate governance/action strategies, (2) economic: in the aspect of increasing after-sales service, (3) social: in view of improving the customer satisfaction and implementation the continuous improvement process within a company. Also, a relatively good correlation was observed in the case of the analysis of the relationship between usage of robots in the company and factors describing SP level in the same areas as was discovered for the correlation between applying CPSs. The results indicated also that implementation of robots has a strong relationship with the SP factor in the social area, namely: accidents at work recorded. So, the research results show that for the SMEs metalworking Industry surveyed, the implementation of Industry 4.0 technology, namely robots and CPSs, increases the level of SP.
Clustering to Determine Interconnected Activities in Supervisory Control Tasks of Pilots
Authors: Tschurtschenthaler Karl , Schulte Axel
Published: October 2023

We propose a method that allows pilot activity determination. Such systems are of great interest for assistance systems that adapt to pilot performance. However, the determination of supervisory control tasks is non-trivial since they can only be observed indirectly through pilot actions. Our previous work to determine activities based on evidential reasoning resulted in a highly fragmented pattern of recognized tasks over time. To address this, we suggest clustering these scattered patterns into partitions which better reflect the activities of the pilot. To evaluate the proposed approach, we conducted an experiment in a fast-jet simulator with 11 participants. Using our former approach, we attempted to determine the activities and then applied k-Means clustering to find partitions of interconnected activities. Lastly, we evaluated whether the results could be compared to the activities as reported by the participants. Our results indicate that clustering may not be an effective activity determination method for adaptive assistance systems in Manned-Unmanned Teaming applications.
Driver Attribute Classification Method Based on Driving Behavior
Authors: Yamanaka Kimihiro
Published: October 2023

In this study, the objective was to develop a method for classifying driver attributes based on driving behavior, aiming to create a driving support system that enhances safety and comfort. Unlike traditional methods that relied on check sheets for accurate but delayed attribute classification, this study focused on immediate and flexible classification. An experiment was conducted using a driving simulator to predict driver attributes through multiple regression analysis of the driving log, which recorded vehicle behavior during driving. The obtained results were then applied to facilitate a harmonious interaction between the driver and the system, particularly in environments involving automated driving levels 2 and 3, where the driver remains engaged in the driving operation.The summarized results of the study are as follows:1)A model was proposed to predict two driver attributes: driving safety aptitude and system dependence.2)The study confirmed a correlation between the two driver attributes and actions/behaviors associated with deceleration, as observed from the driving behavior parameters extracted from the driving logs.Specifically, individual driver characteristics were more likely to manifest in braking operations and deceleration-related driving behavior. The study suggests that incorporating additional parameters related to deceleration could further enhance the accuracy of driver attribute prediction.Overall, this research contributes to the development of a driver support system that considers driver attributes and behavior, enabling a safer and more comfortable driving environment, particularly in the context of automated driving.
Shaping a device for Anti-viral disinfection and checking health of people moving in public space
Authors: BOBER WALDEMAR , Gronostajska Barbara
Published: October 2023

The main goal of the project is to develop a product innovation consisting in the implementation of a new type of disinfection device that combines functionality with the ability to monitor health and detect potentially infected people. The de-signed device for virucidal disinfection, together with monitoring the health of us-ers in public spaces, is part of the strategy of preventive measures to limit the spread of the pandemic, with particular emphasis on the SARS-CoV-2 virus. The device is intended to improve the safety of the public in epidemiological threats, as well as a long-term strategy to protect and counteract subsequent waves of pandemics and other, so far unrecognized viruses. For the needs of the research task, the concepts of the device varied in terms of size and ergonomics were de-signed. Initial analyzes concerned solutions based on a prism structure in an or-thogonal system. For the above solutions, 1:1 scale test benches have been pre-pared in order to conduct advanced ergonomic, functional and accessibility anal-yses. In order to carry out preliminary spatial and functional analyzes of the sup-port, 2D and 3D tests were carried out using simplified human models containing anthropometric data. Percentile models of women and men of European descent were used. In addition, accessibility variants for the reach of the arms of a person moving in a wheelchair were examined in terms of the assumptions of universal design. As a result of ergonomic analyses, the distribution of components in the space of the shaped device was assumed.For irregular shapes of the device housing, it is required to test the rod elements of the internal structure, which builds the device's rigidity. Parametric shaping of bar systems requires the implementation of tools useful in mastering the geometry of chaotic structures. One of the more practical methods is the Contracting meth-od taken from topological graph theory. This action, on the one hand, reduces the number of structure nodes, and on the other hand, has ordering properties in the space of geometric irregular structures. The use of the contracting method should not lead to a reduction in the role of the designer, who should maintain a direct impact on the aesthetics and technical parameters of the created structure at every design stage. An important problem to be solved is the scaling of the density of the device's frame in terms of technology and optimization of material consump-tion. In order to assess the stiffness of the device housing, tests were carried out on models composed of stainless steel bars connected to the housing sheets. Due to the location of the device in an open public space, the resistance of the device to accidental dynamic impacts was tested.
Exploring the potential of human-centered design combined with narrative medicine theory for children-friendly healing environment design
Authors: Hei Jinghao , Liang Jing
Published: October 2023

Applying narrative medicine theory to the design of the healing environment is a kind of HCD thinking. This paper conducts proper user research for a children-friendly healing environment, considering children's cognitive level and stakeholders, utilises general inductive topic analysis to identify key concerns and position them as design possibilities. This paper then examines the objects' existing experience and summarises three children-friendly healing narrative design strategies based on narrative design theory. Prototypes are constructed and evaluated. This paper applies design thinking and narrative medicine theory to inventive environmental design, developing a system framework and suggestions for a children-friendly healing environment.
Development of a Prospective Method for Rating Surgical Task Workloads
Authors: Drobinsky Sergey , Korte Patrick , Pjontek Rastislav , Janß Armin , Nitsch Verena , Radermacher Klaus
Published: October 2023

Surgical adverse events can have serious consequences for patients ranging from temporary injuries to death. Thereby, up to 40% of surgical adverse events are preventable and over 60% of causal factors were found to be linked to human factors. To improve surgical performance and safety, computer-assisted surgical (CAS) systems can be used to reduce excessive workloads. This paper presents a method for prospective assessment of surgical task workloads. S-TAWL, developed with the support of a senior neurosurgeon and a usability engineer, consists of three parts: surgical task decomposition, workload rating scale application, and performance shaping factors characterization. For the proposed rating scales, composed of reference operators, relative workloads were determined by 11 neurosurgeons through pairwise comparison. Afterwards, one senior neurosurgeon, not involved in method development, analysed workloads of four common surgical tasks with the proposed method S-TAWL and a reference workload rating method Surg-TLX. Qualitatively, S-TAWL provides more detailed information about workloads with respect to human resources compared to the reference method. Quantitatively, however, the reliability of the results is still limited, as indicated by high standard deviations. Further research is needed to develop reliable and valid rating scales, compute compound workloads and identify overloads. Incorporating quantitative workload assessment in prospective human performance analysis will provide valuable information for targeted model-based design of assistance systems, supporting safe and successful surgery in the future.
Can We Distinguish Driver’s Age Based on Their Eye Movements?
Authors: Thai Jason , Díaz Piedra Carolina , Luigi Di Stasi Leandro , Tomažič Sašo , Stojmenova Kristina , Sodnik Jaka
Published: October 2023

In this paper we present a study aimed at distinguishing elderly (over 65 years) and young (under 25) participants in driving environment by observing solely their eye movements. Selected groups of elderly and young drivers were asked to drive 30 km on suburban, urban and regional roads in a high-fidelity motion-based driving simulator. During the drive their gaze behaviour and eye movements were recorded using the Tobii Pro Glasses 2 eye tracker, providing data on gaze position, blink rate and pupil size. The data was processed with the PyGaze library, which was adapted to be compatible with the Tobii Pro data output format. In the next step, a decision tree-based binary classification method was applied to distinguish between the two age groups based solely on their eye movements and pupillary responses. The machine learning approach showed an overall accuracy of 0.8 which means that eye tracking data can be a very good predictor of driver’s age in a driving environment.
Adaptive Immersive Learning Environments for Teaching Industrial Robotics
Authors: Vassigh Shahin , Corrigan Seth , Bogosian Biayna , Peterson Eric
Published: October 2023

AI, robotics, and automation are reshaping many industries, including the Architecture, Engineering, and Construction (AEC) industries. For students aiming to enter these evolving fields, comprehensive and accessible training in high-tech roles is becoming increasingly important. Traditional robotics education, while often effective, usually necessitates small class sizes and specialized equipment. On-the-job training introduces safety risks, particularly for inexperienced individuals. The integration of advanced technologies for training presents an alternative that reduces the need for extensive physical resources and minimizes safety concerns. This paper introduces the Intelligent Learning Platform for Robotics Operations (IL-PRO), an innovative project that integrates the use of Artificial Intelligence (AI), Virtual Reality (VR), and game-assisted learning for teaching robotic arms operations. The goal of this project is to address the limitations of traditional training through the implementation of personalized learning strategies supported by Adaptive Learning Systems (ALS). These systems hold the potential to transform education by customizing content to cater to various levels of understanding, preferred learning styles, past experiences, and diverse linguistic and socio-cultural backgrounds.Central to IL-PRO is the development of its ALS, which uses student progress variables and multimodal machine learning to infer students’ level of understanding and automate task and feedback delivery. The curriculum is organized into modules, starting with fundamental robotic concepts, and advancing to complex motion planning and programming. The curriculum is guided by a learner model that is continuously refined through data collection. Furthermore, the project incorporates gaming elements into its VR learning approach to create an engaging educational environment. Thus, the learning content is designed to engage students with simulated robots and input devices to solve sequences of game-based challenges. The challenge sequences are designed similarly to levels in a game, each with increasing complexity, in order to systematically incrementally build students' knowledge, skills, and confidence in robotic operations. The project is conducted by a team of interdisciplinary faculty from Florida International University (FIU), the University of California Irvine (UCI), the University of Hawaii (UH) and the University of Kansas-Missouri (UKM). The collaboration between these institutions enables the sharing of resources and expertise that are essential for the development of this comprehensive learning platform.
Systemizing Long-Term Research: Assessing Long-Term Automation Effects and Behaviour Modification
Authors: Y Mbelekani Naomi , Bengler Klaus
Published: October 2023

Over the past years, numerous studies have paved the way towards a better understanding of human-automation interaction (HAI). However, there is neglect in research that focuses on the long-term effects of automation on user behaviour. The reason behind this has been highly emphasised. As, long-term research is one of the most critically challenging approaches and is quite expensive to conduct, among others. Moreover, many scholars argue that a major source of difficulty is defining how long a period is enough to consider the potential change in user behaviour or behaviour modification. In this discussion, we consider what constitutes long-term research, to prolifically draw knowledge on taxonomies and benchmarks for empirical evaluation strategies on changes in user behaviour. Further, we consider the trade-offs between long-term effects and learning effects. In addition, the reader should note that this paper is a fragment of dualistic parts of knowledge distribution on the topic of constructing a long-term research strategy for assessing learning effects, long-term effects and behaviour modification.
Application of Emerging Technologies to Promote Sustainable Workforce in Construction
Authors: Yuan Lu
Published: October 2023

The construction industry has been one of the most hazardous and waste-generating industries in the United States for decades, due to the unique nature of work and high degree of organizational complexity on jobsites. A number of citations against OSHA (Occupational Safety and Health Administration) 29 CFR (Code of Federal Regulations) 1926 Safety and Health Regulations for Construction, primarily in sections that address fall protection and safety training in construction, appear in OSHA’s annual top 10 list of most frequently cited violations consistently. Innovative, science-based, and technology-driven solutions become more and more utilized in the construction industry. Examples of these solutions include: situated learning approach to improve the effectiveness of training, wearable technology to enhance personal protection, remote-controlled drones to perform various functions specially to improve site security, prevention through design concept to minimize risks, total worker health initiative to advance worker well-being, etc. It is imperative that safety, health, and environmental professionals should attempt to clearly understand the impact of these emerging technologies on construction safety and health, and be able to apply scientific principles to anticipate, identify, analyze, and control workplace hazards within the construction industry. Specifically, the pros and cons of each solution need to be examined and compared in order to identify effective methods to promote sustainable workforce and improve safety and health in construction.
The Augmented Welder Profile: Augmenting Craftmanship with Digital and Collaborative Tools
Authors: Thorvald Peter , Holm Magnus , Strand Mattias , Romero David
Published: October 2023

More and more applications of Augmented Reality (AR) in manufacturing industries are introduced every day and while recent research has shown that one of the more popular applications, high volume assembly instructions, might not offer the best setting for this technology, many other applications exist that do. For assembly, remote guidance or training, rare assemblies, low takt time and high mix production, do still show promise. This article introduces the role of the Augmented Welder, a role utilizing AR technology for the programming of a welding robot. An operator support system in the form of a custom application programmed in Unity and visualized with a pair of Hololens2, connected to an ABB robot through RobotStudio. The robot is equipped with a welding gun dummy. The operator can, through the Hololens2, set safety boundaries, introduce work pieces, place targets in a 3D space, simulate the robot path, send the program to the robot, and activate the physical robot, among other things. We performed a modified pluralistic walkthrough to evaluate the operator support system both with respect to our application but also to search valuable insight to the general use of AR in the use of such applications. Results showed that while the subjects were generally positive towards the support system, several issues were identified and raised by various degrees of severity. The primary issues arose around the navigation and interaction with 2D menus and 3D objects in a 3D Mixed Reality (MR) space. The absence of physics confused the subjects as they could not interact with the virtual objects as they would have with physical objects. The lack of physics simply meant that they didn't act the same. Furthermore the interaction with 2D menus in a 3D space was both reported and observed as being very difficult as the 2D representations probably led to problems with depth perception. The general results of the debriefing indicated that using AR for robot programming was challenging although some of this can be attributed to the fact that this was the participants first use of such a system. The users indicated that the menus were appropriate and that the interaction was intuitive while the navigation within the system was not experienced as natural which confirms the above-mentioned issues with menus disappearing from the line of sight and feedback around generated target points being absent.
Degradation in Dynamic Color Discrimination with Waveguide-Based Augmented Reality Displays
Authors: Flowers Adrian , Wollocko Arthur , Kingsley Caroline , Thiry Elizabeth , Jenkins Michael
Published: October 2023

Objective: The aim of this study was to evaluate degradation in human color perception that can occur when using augmented reality displays.Background: Stereoscopic augmented reality displays are known to degrade a user’s ability to interpret projected color information. However, a quantitative breakdown of this degradation does not exist for contemporary augmented reality displays that use waveguide optical combiners.Method: Participants performed the Ishihara color test and an augmented reality-focused variant of the Farnsworth-Munsell 100 test on color perception using a set of commercially available augmented reality displays (Microsoft HoloLens, Magic Leap One, and DAQRI Smart Glasses).Results: From our analysis of participant performance, we generated specifications to maximize color discrimination and highlighted common areas of difficulty for each headset.Conclusions: We defined a novel aware modification to a gold-standard test of color discrimination that accounts for spatial color distortion along the lens an AR display. The optimal color usage across displays will vary based on the design of the optical combiner, which necessitates a re-usable color test to characterize color degradation on each headset design.Applications: The design guidelines specified in this article will minimize the degradation in color perception when using augmented reality displays, allowing them to be used in domains that require fine color discrimination.
Mlada proza i frazemi
Authors: Plavac Morana
Published: October 2023

Young prose is a creative prose style of the seventies of the 20th century, and it was also called prose in jeans because its characters are young people from the city. Young prose builds its special style on the basis of the conversational style of urban youth, and this style includes jargon, hooligan expressions, vulgarisms, clichéd expressions and even idioms. So, on the selected works, the so-called of young prose, idioms will be presented, thus showing that individual freedom is the greatest in the literary and artistic style, the writer designs the language of his work and thereby restores the standard of language.
Hungarizmi u sičanskome govoru
Authors: Berbić Kolar Emina
Published: October 2023

The work will show the representation of Hungarians in the Sičan speech. The Sičan language is the first protected language in the territory of Slavonia. It was protected by the Decision of the Ministry of Culture in 2008. Since then, systematic work has been carried out on all prescribed measures to protect and popularize this very important speech for the Croatian language and Croatian dialectology. The Sičan language belongs to the Old Štokavian languages and preserves the old linguistic state with all the features of the Slavonic dialect of the Posavina subdialect: a five-accent system that includes acute, the absence of the h sound, the softening of the l and n sounds, reduction of vowels in all places (front, middle and back), the existence of secondary vowels, the absence of the consonant group tk, pt, mn, specificity on the morphological, syntactic and formation level. The aim of this paper is to give a lexical overview of the Siče dialect based on the dictionary of the Siče dialect of Sičanske riči. Hungarianisms will be singled out from the lexical corpus and an overview of words of Hungarian origin that entered this protected speech and that remain in active use to this day will be given. The methodology of working on the text, that is, on the language corpus of the published dictionary of Sičanske riči, will be applied. The purpose of the paper is to make a dialectological contribution to the study of the Old Štokavian languages, and especially to the relations and influences of the Hungarian and Croatian languages with regard to the common history of coexistence in the Austro-Hungarian Monarchy.
The Effectiveness of Communication Messages in Politics
Authors: Sianturi Kristomei , Megasari Asti
Published: October 2023

As social creatures, every person who lives in a community group, in carrying out his daily activities from the time he wakes up in the morning until he goes back to sleep at night, is always involved in communication activities. This journal aims to find out how effective interpersonal communication messages are in a communication context. This journal uses types of research in the form of literature and reflective studies. Communication is said to be effective if what is communicated is understood and carried out by the communicant as desired by the communicator. Barriers to the communication process, small obstacles may be ignored, but too many obstacles can disrupt or disrupt the message from achieving its goal. The effectiveness of communication in politics is very important because it can influence the success of a government program or policy. Effective political communication can increase public participation in the political process.
Single Parameter Matching of Ordinary and Novel (Dark Matter) Particles From Their Physical Equalities to Their Physical Differences
Authors: Soln Josip
Published: October 2023

Novel (dark matter) particles, while known to exist, refuse to show up explicitly. Theoretical approaches within the Standard

Model (SM) as for example, looking for the dark photon with Feynman diagrams, in the process γγ −→ e+e , is

still inconclusive (Xu, I. et al., 2022). However, empirical-like methods can give the proof about the existence of dark

matter, see for instance (Clowe, D. et al., 2006). Hence it is reasonable trying to understand as to why ordinary and novel

(dm) particles differ so much from each other. This we wish to do with solutions of the bicubic equation for particle

limiting velocities ( ˇ Soln, J., 2014-2022). Once we have the solutions for novel and ordinary particle limiting velocities

from ( ˇ Soln, J. 2021.1.2, 2022), we first establish, with the help of evolutionary congruent parameters, ordinary z1 and

novel z2, satisfying z1 ⪯ 1and z2 ⪰ 1,the smooth matching point of equal values for ordinary and novel particles at

z1 = z2 = 1. At this point the limiting velocities and other physical quantities of ordinary and novel particles have

equal values, which can be also characterized by z1× z2 = 1; this, consistent with Discriminants of ordinary and novel

limiting velocity solutions, is extended everywhere, so that z2 = 1/ z1. the novel particle limiting velocity solutions

reveal congruent angle α, contained now in z1 and z2, and as such can also serve as another evolutionary parameter. The

smooth matching point is now α = π/2. If physically equivalent ordinary and novel particles move away from this point

to α ̸= π/2, they will physically be different from each other. In other words, the novel particle is in z2 ⪰ 1 territory, and

the ordinary particle is in z1 ⪯ 1 territory and direct interactions are likely impossible. With this formalism, we investigate

physical differences between ordinary and novel particles, when moving away from α = π/2. In tis article, we largely

are dealing with high energy leptons together with relevant photons with congruent parameter ranges of 0 ≺ α ⪯ π/2,

0 ≺ z1 ⪯ 1,∞≻ z2 ⪰ 1. In fact due to a large interest in photons, here, within this formalism, we evaluate very precisely

limiting velocities for the ordinary and novel photons. From these evaluations, we deduce numerically that congruent angles

of novel and ordinary photons are related through the quantum jump α(γN) = 2α(γ), which is verified also for other

particles. Hence, the general quantum jump between congruent angles of limiting velocities associated with ordinary and

novel particles is α(xN) = α(x), where x = γ, e, ν, etc. The congruent angle quantum jump connects every ordinary

particle, such as electron e, or neutrino ν,respectively, to novel electron eN and novel neutrino νN. This, definitively is a

rather simple way to identify novel particles. All that one needs is to find them.
Incidence of Recurrent Low Back Pain as a Side Effect of Decompressive Surgery for Lumbar Spinal Stenosis in Obese Versus Non-Obese Patients
Authors: Alzahrani Abdullah Ali , Abdullah Alhasani Mohammad
Published: October 2023

Studies have reported an increased incidence of recurrent post-decompression-associated lower back pain (LBP) among obese patients after Lumbar spinal stenosis (LSS) surgery. Higher prevalence of lower back pain (LBP) associated with post-decompression surgical treatment among obese or overweight female patients compared to male patients. The current study has aimed to examine the relationship between body composition and long-duration consequences of post-spinal decompression among the Saudi population. This retrospective, longitudinal study was conducted at Taif Hospital, Kingdom of Saudi Arabia (KSA), throughout ____2010-till 2015 ____. Chronic pain grade questionnaire for assessing lower back pain and any disability among post-decompression participants. The chi-square test was used to analyze independent variables, and an independent t-test was employed to detect variances between mobility, age, education, body composition, and emotional disorders. The adjustment of age, education, mobility, emotional disorder, and BMI was examined through multivariate analysis. Highly a statistically substantial difference between obese and non-obese with regard to age, emotional distress, low mobility, Body mass index (BMI), mean estimated flow of blood (p-value <0.000), and hospitalization (p-value <0.002). The results showed a statistically substantial relationship between the degree of pain and disability with patient weight (p-value: 0.05), body mass index (p-value: 0.03), and Fat mass/fat-free mass ratio (p-value: 0.05). Clinical improvement is observed in obese patients post decompression surgical intervention, but the percentage of improvement was significantly higher among the male gender compared to female obese patients.
Covid CNN–SVM: Automated Categorization of Novel Coronavirus Disease from X-Ray Images
Authors: Abdulqader Israa Rafaa
Published: October 2023

In the computer-aided diagnostic (CAD) system, automated Coronavirus infection disclosure plays a crucial role in early identifying positive patients to prevent the disease from spreading further. The advent of algorithms for deep learning and machine learning has tackled classification tasks with promising results, especially in classifying images. However, the small size of the databases for medical images is a limitation associated with train deep neural networks. We use a combination of convolutional neural network (CNN) features and a support vector machine (SVM) for X-ray image classification to overcome this problem. This research work used CNN methods to extract features from 1,338 Chest X-ray frontal view image data. An SVM is used with CNN features to classify images in two classes: COVID-19 and Normal cases for enhanced performance. We conducted and evaluated our experiments on several public databases, which have been used in the recently published articles. The performance of the proposed method revealed accuracy, AUC, sensitivity, specificity of 0.995, 0.999, and 0.995 for classification, respectively. The high performance of the detection system achieved in this research reveals the effectiveness of deep features and the machine learning classifier approach for detecting COVID-19 cases using X-ray images. This would be extremely helpful in accelerating disease diagnosis with the available resources.
Determination of the relationship between the Vocational Qualifications and Academic Programs on a Perceived Competencies Basis Approach: A Case for Geographical Information Systems
Authors: UNUVAR-UNLUOGLU Dilara , HAMUTOGLU Nazire Burcin , ÇABUK Saye Nihan , ÇABUK Alper
Published: October 2023

GIS education and training activities become widespread as GIS utilization inevitably increases worldwide. Besides, vocational standards and qualifications are developed to form a quality assurance basis for GIS-related jobs and services and the employment of qualified personnel. From this perspective, this study aims to examine to what level the graduates of GIS associate degree, master, and doctorate programs have gained the necessary knowledge and competencies defined in the GIS Specialist (Level 6) National Qualification throughout their academic education. Within this context, an online survey was developed based on 43 performance criteria derived from the vocational qualification units (A1, A2, A3). The respondents were asked to self-evaluate the achievement of the given criteria during their academic education on a 5-point Likert scale. It was detected that 39.1% of the 174 survey participants have associate degrees, 61.7% have master's degrees (with thesis, without thesis, and distance education), and 6.9% have doctorate degrees. In comparison, 3% of them completed the GIS certificate program. The results showed that the competency achievement perceptions in the A3 section increased following the education level of the graduates. No significant difference was determined for A1, while an insignificant difference was detected for the A2 unit between the graduates of doctorate and distance education master's degree programs. The results are expected to be adopted by the relevant parties to align the GIS education programs with the sectoral needs and vocational qualifications.
Analyzing the Documentary Film "Marie Curie" in terms of the Nature of Science Themes
Authors: SECKIN-KAPUCU Munise
Published: October 2023

In this study, it was aimed to examine the documentary film "Marie Curie" in terms of NOS themes. The study was designed with qualitative research method. In this study, the documentary film titled "Marie Curie", which was produced in Poland, Germany, France in 2016 and had a viewing time of 1 hour and 35 minutes, was used as a data source. Content analysis was used to analyse the scenes in the documentary. As a result of the research, it was determined that four themes of the nature of science were emphasised in the documentary: These are: Scientific knowledge is influenced by the social and cultural environment during the development and transformation of scientific knowledge into practice, scientific knowledge can change, imagination and creativity have an important role in obtaining scientific knowledge, and scientific knowledge is subjective. As a result, this study has shown that there is a tool that can be used in teaching some NOS themes and concepts.
Identifying Human Temperament and Character Type for E-Learning Needs Using a Fuzzy Logic Approach
Authors: MANJAPHARASHVILI Teimuraz , MANJAPARASHVILI Nino
Published: October 2023

Today, online training and counseling is becoming increasingly popular. This has been achieved through the use of various successful information and communication technologies and electronic tools - Electronic (ICTE). Therefore, significant changes are needed in the training process. People have different perceptions of information and different types of temperament. That is why the training process should be tailored to the needs of each. The training system should take into account that people have different styles of perceiving information according to the temperament and character type of the student-aplicant. This would reduce online training and increase its quality.Traditional psychometric tests are usually very long and difficult, based on a person’s opinion of themselves and thus, they give different results depending on the person’s mood. Also, depending on the mood and need, the person may be manipulated by possible answers. This is because the answers to such test questions are largely based on ongoing processes in consciousness. So from traditional tests there are other types of tests separately from questionnaires: drawing, colors, geometric figures, pictures, card games, numbers, scenarios, manuscript analysis, drawing and other tests. A special advantage of these types of tests is that they rely more on ongoing processes in the subconscious and are therefore more free to manipulate, while also requiring significantly less time and less dependent on mood.Autors task was to combine several other types of tests and create a free test-short program with the ability to present and process subjective information using modern fuzzy technology, which would allow us to determine the applicant's temperament and character type for e-learning and other needs.
Can Environmental Education Supported by Augmented Reality (AR) Applications Improve the Environmental Awareness of Primary School Students?
Authors: OZTURK Elif , AKCAY Gokhan
Published: October 2023

It is thought that it would be appropriate to use augmented reality technology, which provides many educational advantages for effective environmental education. This research aims to examine the effect of environmental education using augmented reality (AR) applications on the knowledge, attitudes, and behaviors of primary school third-grade students towards the environment and to find out the children's views on AR. The case study design, one of the qualitative research methods, was used in the research. The research was carried out with seventeen primary school third-grade students from a public school in the 2021-2022 academic year. Environmental education was given to the selected class with augmented reality applications for six weeks. The data were collected with the ‘Semi-Structured Interview Form’ prepared by the researcher. Content analysis technique was used in the analysis of the data. According to the findings obtained from the interviews; it has been concluded that environmental education using AR applications is effective in the knowledge, attitude, behavior, and environmental awareness of third-grade students towards the environment. In addition to these, in the interviews; it has been determined that students have positive emotions towards AR reality applications; they want to use the applications in other lessons; AR applications facilitate their learning and positively affect their approaches towards living / non-living beings, the environment and environmental problems.
Fishery Ecolexicon in Kambera
Authors: Malo Raynesta Mikaela Indri
Published: October 2023

This research is a qualitative descriptive study that aims to study and describe the ecolexicon that represents the fisheries sector in Waingapu using ecolinguistics theory. This theory emphasizes the reciprocal relationship between language and the environment. The data collection methods used are in-depth interviews and observation. Data are analyzed using the padan method, specifically teknik pilah unsur penentu (the determinant element sorting technique). Informants are people who live and work in the fisheries sector, such as fishermen, fishmongers, and fishery practitioners. Data analysis shows that there are lexicons in Kambera related to the fishery sector which consists of nouns and verbs from the point of view of lexical categories. Nouns dominate the list and contain most of the names of fishery products such as fishes, crabs, clams, and others. Besides, it also consists of terms of fishing equipment. For verbs, they are related to fishing activities.