Real Situations Research Articles

Evaluation of new Garima data using type-II generalized progressive-hybrid technique and its application to a sodium–sulfur battery

In recent years, several novel modeling applications have been able to better fit complex datasets, and they can provide insights that would not be possible with traditional distributions. A new model developed by mixing the exponential and gamma models, called the Garima model, is discussed in this article. This model exhibits a better behavior fit than exponential and Lindley, among others. When the reliability practitioner wishes to score a specific number of failed units, a generalized progressive-hybrid-censored Type-II technique has been proposed to reduce both the length and expense of a life test. Given the availability of the presented data, the difficulty of estimating the scale parameter and various reliability time aspects of the Garima model is investigated using likelihood and Bayes inferential approaches. In addition, when the Garima parameter is assumed to have gamma density prior, the Markovian-Chain via Monte-Carlo sampler from a symmetric loss is performed to obtain the symmetric Bayes’ infer. Besides the asymptotic confidence intervals, the highest intervals for all unknown subjects are also developed. Simulation comparisons are also carried out, and useful recommendations are provided. A real data application is examined based on genuine datasets from the physical sector to see how the examined approaches may be implemented in real-life situations.

The usage of stochastic matrices while learning the topic “Eigenvalues and eigenvectors of a matrix” in the course of Higher Mathematics

Abstract The article looks into teaching students mathematical modeling during the mastering of the topic “Eigenvalues and eigenvectors of a matrix” in the Linear Algebra. The modeling is based on the usage of matrices built based on Markov chains. The analysis of the researchers’ papers shows that the usage of matrices of this type can be implemented while teaching students of different university specialties. The analysis of the prerequisites for the involvement of stochastic matrices in the consideration of students has helped to determine additional concepts and theorems that should be considered while learning “Eigenvalues and eigenvectors of a matrix”. The theorem on the presence of stochastic vectors in a stochastic matrix can serve as a formula for systematizing problems that can present applications of eigenvalues and eigenvectors of the matrix in real-life situations. The results of the experiment conducted using the developed system of problems for students of different University specialties show the improvement of skills provided by mastering the topic “Eigenvalues and eigenvectors of a matrix”.

Gravitational wave luminosity distance-weighted anisotropies

Measurements of the luminosity distance of propagating gravitational waves can provide invaluable information on the geometry and content of our Universe. Due to the clustering of cosmic structures, in realistic situations we need to average the luminosity distance of events coming from patches inside a volume. In this work we evaluate, in a gauge-invariant and fully-relativistic treatment, the impact of cosmological perturbations on such averaging process. We find that clustering, lensing and peculiar velocity effects impact estimates for future detectors such as Einstein Telescope, Cosmic Explorer, the Big Bang Observer and DECIGO. The signal-to-noise ratio of the angular power spectrum of the average luminosity distance over all the redshift bins is 17 in the case of binary black holes detected by Einstein Telescope and Cosmic Explorer. We also provide fitting formulas for the corrections to the average luminosity distance due to general relativistic effects.

Hollow CuO/Cu2O octahedrons for selective and stable detection of acetone gas

Acetone (C3H6O) is key member of the volatile organic compound family, which can cause health as well as environmental issues. The identification and sensing of acetone gas are important in many applications such as air quality control and biomarker-based diagnosis. Here, we synthesized hollow CuO/Cu2O octahedrons heterostructure composite through coprecipitation and subsequent heat treatment. The sensor manifested a response of 3.52 to 50 ppm acetone gas at 350 °C. Besides, it showed excellent stability in a 150-day test and excellent repeatability, with a response of 4.15. Also, exhaled gas sensing was carried out using standard method to estimate the acetone concentration in breath. The high sensing capability of the sensor was ascribed to the formation of p-p heterojunctions, the hollow morphology of octahedrons, and the presence of structural defects. The hollow CuO/Cu2O octahedron sensor with good performance may be employed for the detection and monitoring of acetone gas in real situations.

Scenarios of Multiple Vessels Encounter for Safety Evaluation for Automatic Collision Avoidance Algorithm using AIS Data

Abstract Interest in Maritime Autonomous Surface Ships (MASS) is growing, and efforts are underway in Japan to realize them. One of the key issues in realizing autonomous operation is automatic collision avoidance. Simulation is effective in developing and evaluating such algorithms. This paper describes the generation of a set of simulation scenarios that consider the actual sea traffic using AIS data, which is traffic flow data in real seas. We assumed that the comprehensiveness of the scenarios could be ensured by generating scenarios by combining typical encounter patterns and collecting difficult situations that are encountered in real situations. First, the characteristics of the target sea area were identified from the AIS data, then difficult traffic situations were extracted from the data, and then a set of scenarios were generated based on them. Considering the presence of manned ships in the test area, we conducted some tests of the generated scenarios not only using fast-time simulations but also using a ship-handling simulator and conducted visual checks from own ship and the target ship.

PRACTICAL SESSION USED FOR A DEEPER UNDERSTANDING OF VAPOUR COMPRESSION SYSTEMS – A PURPOSE OF TEACHING IN CONSTANTA MARITIME UNIVERSITY

In order to increase the knowledge of future marine engineers it is needed to bring closer the practical skills with theoretical gains. In Constanta Maritime University, Marine Refrigerating Plants is a discipline included in the curricula of future marine engineers. Practical learning can be also developed on low cost and effective means – as it will be proven in the paper. By using Coolselector 2, future marine engineers are trained to apply theoretical knowledge such as thermodynamics principles and to better understand the vapour compression cycle analysis, thermodynamic properties of refrigerants or the importance of the main components of a basic vapour compression refrigeration cycle. At the end of the practical session, students will gain important skills specific to theoretical aspects of refrigeration and thermodynamic processes and real situations.

Efficacy of perampanel by etiology in Japanese patients with epilepsy-subpopulation analysis of a prospective post-marketing observational study.

To examine the efficacy and safety of perampanel (PER) in patients with post-stroke epilepsy (PSE), brain tumor-related epilepsy (BTRE), and post-traumatic epilepsy (PTE) using Japanese real-world data. The prospective post-marketing observational study included patients with focal seizures with or without focal to bilateral tonic-clonic seizures who received PER combination therapy. The observation period was 24 or 52 weeks after the initial PER administration. The safety and efficacy analysis included 3716 and 3272 patients, respectively. This post hoc analysis examined responder rate (50% reduction in seizure frequency), seizure-free rate (proportion of patients who achieved seizure-free), and safety in patients included in the post-marketing study who had PSE, BTRE, and PTE in the 4 weeks prior to the last observation. Overall, 402, 272, and 186 patients were included in the PSE, BTRE, and PTE subpopulations, and 2867 controls in the "Other" population (etiologies other than PSE, BTRE, or PTE). Mean modal dose (the most frequently administered dose) values at 52 weeks were 3.38, 3.36, 3.64, and 4.04 mg/day for PSE, BTRE, PTE, and "Other," respectively; PER retention rates were 56.2%, 54.0%, 52.6%, and 59.7%, respectively. Responder rates (% [95% confidence interval]) were 82% (76.3%-86.5%), 78% (70.8%-83.7%), 67% (56.8%-75.6%), and 50% (47.9%-52.7%) for PSE, BTRE, PTE, and "Other," respectively, and seizure-free rates were 71% (64.5%-76.5%), 62% (54.1%-69.0%), 50% (40.6%-60.4%), and 28% (25.8%-30.1%), respectively. Adverse drug reactions tended to occur less frequently in the PSE (14.7%), BTRE (16.5%), and PTE (16.7%) subpopulations than in the "Other" population (26.3%). In real-world clinical conditions, efficacy and tolerability for PER combination therapy were observed at low PER doses for the PSE, BTRE, and PTE subpopulations. To find out how well the medication perampanel works and whether it is safe for people who have epilepsy after having had a stroke, brain tumor, or head injury, we used information from real-life medical situations in Japan. We looked at the data of about 3700 Japanese patients with epilepsy who were treated with perampanel. We found that perampanel was used at lower doses and better at controlling seizures, and had fewer side effects for patients with epilepsy caused by these etiologies than the control group.

Examining the cognitive and affective changes in students through the implementation process of the physics curriculum based on an interdisciplinary context-based learning approach

This case study examines the cognitive and affective changes in students through the implementation process of the physics curriculum based on an interdisciplinary context-based learning approach. The study was conducted during the second semester of the 2017-2018 academic year with 33 students in one of the 10th grade classes of a high school in the Yüreğir district of the Adana province. A criterion sampling method of purposive sampling methods was employed in selecting the school and the class. In the intervention, the researchers used the physics curriculum they developed based on an interdisciplinary context-based learning approach. The plans and activities prepared according to the context-based REACT model were implemented for eight weeks and the data were collected using both quantitative and qualitative methods. At the end of the intervention, significant changes were observed in the students’ ability to relate their knowledge to daily life, interdisciplinary problem-solving skills, attitudes towards problem-solving in physics, and affective characteristics. During the process, students who encountered challenges in problem-solving, focusing on the lesson, working in groups, and relating information to real-life and different disciplines managed to overcome these challenges by increasing their individual efforts and communicating with their peers and the teacher. Because of students who remained passive, made noise, and frequently changed their seats during group work, the researchers encountered some challenges in instruction and time management. To increase classroom participation, they opted for updating the lesson plan, preparing additional examples, and increasing the number of visual materials. In this respect, teachers and other researchers are recommended to allocate more time to interdisciplinary context-based teaching activities, provide students with more real-life problem situations, diversify group work, and conduct group activities more frequently.

Transoral snare removal of subepiglottic cysts.

The objective of this demonstration was to describe and simulate a surgical technique for removing subepiglottic cysts in horses via an oral approach under endoscopic guidance using a cadaver model for simulation and clinical data. The technique aims to provide a minimally invasive method for the removal of these cysts. 2 clinical case images from the Washington State University Teaching Hospital were used in the video. In a third horse euthanized for reasons unrelated to the study, the procedure was simulated after the head was frozen and transected transversally. Files from 2 horses were reviewed, and the relevant parts were selected. The horse head was set on a stand, and a simulated cyst was implanted under the mucosa, made of the fingertip from a glove filled with carboxymethyl cellulose gel, and sutured. The procedure was performed by one of the authors (CAR) and recorded. A bronchoesophageal grasping forceps and cautery snare were used to simulate a clinical situation in dorsal recumbency. The cyst was successfully removed as in the real procedure, and the demonstration was recorded for educational use. The review of the videos shows that the simulated procedure is also achievable in a real clinical environment. This technique provides a minimally invasive method for the removal of subepiglottic cysts in horses. The demonstration of this procedure is crucial for the training of surgeons, as it allows the visualization of the procedure in a controlled setting, free from the complications of real clinical situations.

Effects of a sedentary behaviour intervention in emergency dispatch centre phone operators: a study protocol for the SECODIS randomised controlled cross-over trial

IntroductionSedentary behaviour is a public health problem. We mainly have sedentary behaviour at work, transforming them into occupational risk. To our knowledge, there is no intervention study on the reduction...

Exploring the effects of time pressure and distracting elements in an augmented reality game for emergency preparedness

The development of emergency preparedness and response skills is crucial for ensuring individual safety and well-being during natural disasters. Realistic and engaging games can effectively promote these skills. This paper explores the impact of introducing additional game objects as distractors and time pressure on user experience and willingness to prepare for emergencies in an Augmented Reality (AR) game. Additional, distracting game elements and time pressure are included in the game scenario to simulate the cognitive demands and stress experienced in real emergency situations. To investigate the impact of distracting game elements and time pressure, a within-subjects study was conducted with 52 participants who played two different versions of an AR game designed to help locate recommended items for an emergency grab bag. In the first version, participants focused solely on finding the recommended items, while in the second version, distractors and a timer were introduced to emphasize the urgency of packing the bag. The results showed no significant difference in user experience between the two versions. However, the version with time pressure and distractors demonstrated a significant improvement in attitudes and perceived behavioral control regarding immediate actions in response to evacuation warnings. Qualitative feedback from participants supported these effects. These findings suggest new directions for further research and highlight the potential of AR games to enhance emergency response strategies.

The Implementation of Case Based Learning in Physics Learning at The Collage: A Systematic Literature Review

Abstract Physics learning at the college level using the Case-Based Learning approach offers an interactive method through the analysis of real cases or situations relevant by integrating theory with practical applications and enhancing a deep understanding of concepts. The objective of this research is to analyze literature studies on Case-Based Learning in physics education at the university level. This study employs the Systematic Literature Review (SLR) method. Data collection was carried out by documenting and reviewing related articles published between 2014-2024. Based on the search results, a total of 80 relevant articles were obtained, which were then filtered based on inclusion criteria to yield 10 articles used as primary studies. Each article was coded, and then analyzed based on the skills developed from the research findings. The results of the systematic literature review indicate that Case-Based Learning in physics education effectively enhances students’ analytical and problem-solving skills. This approach facilitates the integration of theory and practical applications through real-life case studies, enabling students to develop their critical and analytical thinking skills.

Inhibition of starch hydrolysis during in vitro co-digestion of pasta with phenolic compound-rich vegetable foods

The ability of phenolic compounds to inhibit amylolytic enzymes activities has been investigated, suggesting their possible role in type-2 diabetes management. However, these studies have been carried out with purified enzymes and synthetic substrates and are distant from simulating a real physiological situation. The objective of the present research was to evaluate the ability of phenolic-rich vegetable foods to inhibit starch hydrolysis during in vitro co-digestion with pasta resulting in a potential anti-diabetic effect and mimicking as closely as possible a real scenario. Some tested vegetable foods, such as capers, red-skinned onion, red radish, and olives, determined a decrease in starch hydrolysis by 21.5%–31.7% during in vitro co-digestion with pasta. The quali-quantitative phenolic profiles of in vitro co-digested samples were elucidated and selected standard compounds were tested for their ability to inhibit porcine pancreatic α-amylase and mammalian α-glucosidase. The inhibitory potential of these compounds, especially against α-glucosidase, explained the effect observed during co-digestion experiments. The most active phenolic compounds against α-glucosidase were quercetin-4’-O-glucoside, quercetin-3-O-rutinoside, luteolin-7-O-glucoside and quercetin-3-O-glucoside-4’-O-glucoside with IC50 values of 20.67, 52.23, 68.84 and 87.58 μmol/L, respectively. This is the first report suggesting that these compounds are potent inhibitors of mammalian α-glucosidase. This study indicates that consuming starchy foods (i.e., pasta) with phenolic-rich vegetable foods may result in an inhibition of starch digestion possibly reducing the post-prandial glucose levels.

How does drama-based pedagogy enhance learning and teaching in psychology? An exploratory mixed-method study

The use of a drama-based pedagogical (DBP) approach, while well-documented to promote active learning and enhance students’ generic skills, is under-utilised in the context of higher education, particularly in psychology learning and teaching (L&T). A project, comprising two virtual drama-integrated learning sessions, was implemented to gauge the efficacy of the DBP approach in psychology L&T at a Hong Kong university. Aside from facilitating effective learning and application of psychological theories on the topic of classroom management in a semi-authentic setting (i.e. a drama context highly analogous to a real-life situation), this project aimed to enhance students’ creative thinking, problem-solving, communication, and critical thinking skills. A mixed-method evaluation framework was utilised to evaluate students’ feedback upon completion. The project’s quantitative analyses, while utilizing the subjective outcome evaluation approach, underscored students’ acknowledgement of DBP’s positive impact on their learning in alignment with prior research. Qualitative analyses, meanwhile, uncovered the underlying five elements through which DBP is conducive to achieving the current expected outcomes. Discussions pertaining to the possible interconnection of these five elements behind DBP and its implications on university psychology education are featured.

'They are conspiring against us': How outgroup conspiracy theories stimulate environmental neglect in intergroup resource dilemmas.

Natural resources are limited, and people often share these limited resources in groups, which creates an intergroup resource dilemma. To understand individuals' sustainable behaviours in intergroup resource dilemmas in the context of group interactions, the present research systematically investigates the effect of outgroup conspiracy theories on sustainable behaviours and preliminarily explores the internal mechanism underlying this effect. First, a survey study (Study 1) relying on real-world intergroup relations first confirmed the negative correlation between outgroup conspiracy beliefs and sustainable intentions in intergroup resource dilemmas. Then, an online experimental study that utilized the real situation of a region in China (Study 2) tested the causal relationship between exposure to an outgroup conspiracy theory and sustainable intentions, as well as showing the mediating role of intergroup threat perception underlying this relationship. Finally, a preregistered experimental laboratory study (Study 3) further verified the causal effect of exposure to an outgroup conspiracy theory on sustainable behaviours, again confirming the mediating role of intergroup threat perception. In general, our research demonstrates that exposure to an outgroup conspiracy theory stimulates individuals' environmental neglect and reduces their sustainable behaviours by increasing their perceptions of intergroup threat when faced with intergroup resource dilemmas.

Retrospective analysis of the problem of training information security specialists

It is advisable to analyze scientific research in any field in retrospect of the issue under consideration, to correlate modern problems with its historical prerequisites and on the basis of this to trace possible trends in its development. Retrospective analysis is one of the main scientific methods for conducting historiographical analysis. The article examines the chronology of events in the field of training specialists in information protection, which allowed us to identify six stages of the formation and development of this problem in pedagogical science and practice, to determine the features and main directions of training future specialists in the field of information protection in Russia and abroad, identifying correspondences in the development of the national information protection system and the content of modern training of specialists. Based on the conducted retrospective analysis, it was revealed that the change in the requirements for ensuring information security is due to the level of development of information technologies, and the stages of training specialists are related to the real situation of their demand in the process of ensuring information security.

Computer-Assisted Online Learning of English Oral Pronunciation Based on DAE End-to-End Recurrent Neural Networks

With the development of globalization, learning a second language has received increasing attention from people. To improve English oral proficiency, a computer-aided online learning system for English oral pronunciation is studied. A denoising autoencoder is integrated into the system to create a simplified end-to-end recurrent neural network for pronunciation detection and diagnosis based on deep learning. The study first collected and preprocessed oral pronunciation data of English learners, including enhancing speech signals and reducing noise. Next, an RNN model with Long Short-Term Memory (LSTM) as the core was constructed to capture time series characteristics in pronunciation. And use DAE to extract features and reduce the influence of background noise to enhance the recognition of pronunciation features. At the same time, the study utilized web crawler technology to collect a large amount of oral pronunciation data from non-native English learners, and constructed an English oral corpus containing pronunciation errors. And in order to simulate real situations, white noise and pink noise were artificially added to the corpus in the study, and they were divided into training and testing sets in a ratio of 60% to 40%. The results showed that the classification accuracy of the system in the training and testing sets under white noise environment was 78.97% and 94.01%, respectively, and the classification accuracy in the pink noise environment was 76.19% and 94.03%, respectively. The system’s error detection accuracy in vowel and consonant pronunciation detection is 88.91% and 91.68%, respectively, and the error correction accuracy in vowel and consonant pronunciation detection is 90.67% and 91.96%, respectively. In summary, the research on computer-aided online learning of English oral pronunciation based on Denoising Auto Encoders end-to-end recurrent neural networks has effectively improved learning efficiency.

The Use Of Language That Creates Intent In Riddles Consequential From Social Variation In Tanzania

This article has examined how the aspect of language use creates intent in the riddles arising from social change in Tanzania. The primary data used in the analysis, discussion and presented in this article were found in the library by the method of careful reading. The target selection technique was used to find selected riddles by referring to the specific objective of the article aimed at investigating how the use of language creates intent in riddles resulting from social change. A review of the documents used to verify the primary data was obtained through electronic and library methods. The results of the study are presented in a descriptive manner. The analysis and discussion of the data presented was guided by the theory of New Historism. The results of the study show that there is a specific relationship between the elements of language in building the objectives that are linked to the changes that occur in society. The use of language elements has focused on the issue of context, time and the needs of society in designing a language that depicts the real situation in society. Also, the selected genre has given us a Figurative language that it is a solid link in building the foundations for understanding cultural change and the development of science and technology as an important tool in designing the mission and language of riddles that review those changes. This article recommends that more research be done to examine the role of riddles arising from social change in building sustainable foundations to maintain and strengthen traditional ideologies and philosophies in this country.

Manoeuvring in shallow and confined water with model predictive track controllers

Abstract Autonomous and computer-assisted navigation, for example through portable pilot units and data-driven decision supportive systems, is in full development. Remote-controlled vessels (manned but without a captain steering continuously on board) are used in Belgium (by Seafar in inland shipping) but also in other countries. A model predictive controller has been used to investigate environmental and operational parameters for the passage of the river Seine in Paris by different ship types. These fast-time simulations have been compared with simulations in real time executed by skippers on a ship manoeuvring simulator or measured real life tracks. A good predictability of the real situation requires accurate manoeuvring models. But what if this accuracy cannot be guaranteed? An illustration is made by comparing the tracks if, in the prescience prediction phase for the controller, wind or bank effects are neglected or doubled. The development of model predictive deep reinforcement learning control algorithms for navigation will be one of the challenges of the Data-driven Smart Shipping project that started May 2024.

Denoising method for colonic pressure signals based on improved wavelet threshold.

The colonic peristaltic pressure signal is helpful for the diagnosis of intestinal diseases, but it is difficult to reflect the real situation of colonic peristalsis due to the interference of various factors. To solve this problem, an improved wavelet threshold denoising method based on discrete wavelet transform is proposed in this paper. This algorithm can effectively extract colonic peristaltic pressure signals and filter out noise. Firstly, a threshold function with three shape adjustment factors is constructed to give the function continuity and better flexibility. Then, a threshold calculation method based on different decomposition levels is designed. By adjusting the three preset shape factors, an appropriate threshold function is determined, and denoising of colonic pressure signals is achieved through hierarchical thresholding. In addition, the experimental analysis of bumps signal verifies that the proposed denoising method has good reliability and stability when dealing with non-stationary signals. Finally, the denoising performance of the proposed method was validated using colonic pressure signals. The experimental results indicate that, compared to other methods, this approach performs better in denoising and extracting colonic peristaltic pressure signals, aiding in further identification and treatment of colonic peristalsis disorders.