bluuebunny/crossref_metadata_2025_split huggingface dataset:
Giant ICA Cavernous Aneurysm with Coarctation of Aorta and Autoimmune Hemolytic Disease Posted for Flow Diverter Stenting
Authors: Gali Yagna M. , Bhushanam Moparthi R. , Gurrala Shekhar R. , Reddy Sanna R. , Pathak Vipul 
Published: March 2024

AbstractAnesthetic management of a case of intracranial aneurysm with coarctation of the aorta poses a formidable challenge to the anesthesiologist. The perioperative risks associated with such cases are rupture of an aneurysm, cardiac arrhythmias, stroke from cerebral insufficiency, intracerebral hemorrhage, myocardial ischemia, thromboembolic stroke, and aortic dissection. Endovascular stenting is preferred over surgical clipping of an aneurysm as flow diverter stenting has less morbidity and mortality compared to the latter, and the parent vessel can also be preserved. Despite the perioperative risks, successful stenting of an internal carotid artery aneurysm is beneficial in preventing impending aneurysm rupture and the progressive worsening of neurological symptoms. Therefore, it is imperative to understand the physiological basis behind the unforeseen complex hemodynamic fluctuations occurring during the procedure, as well as the anesthetic goals and complications encountered during the procedure. We describe and discuss the successful anesthetic management of a case of a giant internal carotid artery aneurysm with coarctation of the aorta and autoimmune hemolytic disease posted for flow diverter stenting.
Dupuytren's Disease: A Novel Minimally Invasive Pull-Through Technique
Authors: Maruccia Michele , Tedeschi Pasquale , Sisto Francesco , Converti Ilaria , Giudice Giuseppe , Elia Rossella 
Published: March 2024

Abstract
Background Dupuytren's disease decreases quality of life significantly and often requires surgical treatment, nevertheless there is no actual gold standard. The aim of this study was to introduce the use of minimally invasive pull-through technique.
Methods From 2016 to 2020, 52 patients suffering from Dupuytren's contracture were treated with the minimally invasive pull-through technique. We evaluated the improvement in range of motion, pain, disability, and quality of life in the long term. Total extension deficit, quick disabilities of the arm, shoulder, and hand (QuickDASH), and EuroQol five dimensions—five levels index were systematically scored before each surgical intervention and reevaluated after 24 months.
Results Fourteen patients (26.9%) had already received a previous intervention (percutaneous needle aponeurotomy or collagenase Clostridium histolyticum). The mean preoperative total active extension deficit was 84.0 ± 23.3 degrees (55–130 degrees). Mean follow-up was 36 months. There were no cases of tendon rupture or neurovascular injury. Total active extension deficit at the final follow-up was 3.4 ± 2.3 degrees (0–12 degrees). The mean active range of motion of the MCP and PIP joints were, respectively, 90.5 ± 3.3 degrees (85–96 degrees) and 82.7 ± 2.5 degrees (80–87 degrees). At 24 months after cord excision, a mean 10.7 points improvement in the QuickDASH questionnaire was registered (p < 0.001). Pull-through technique was equally effective both on patients with a primary or a recurrent disease. Eight patients (15.4%) had a recurrence of disease in the metacarpophalangeal joint or proximal interphalangeal joint.
Conclusion The pull-through technique is a simple, accessible, and effective technique for the treatment of Dupuytren's contracture. The use of palmar mini-incisions combined with minimal dissection has a low risk of iatrogenic injury to the neurovascular bundles and tendons, and has a low risk of recurrence rate. This study reflects level of evidence IV.
The Relationship between Soluble Angiotensin-Converting Enzyme Level and Coronavirus Disease 2019 in Children: A Prospective Cohort Study
Authors: Melek Arsoy Hacer Efnan , Elmas Bahri , Tarim Ayşe , Dervişoğlu Çavdar Pınar , Orhan Mehmet Fatih , Yazar Hayrullah 
Published: March 2024

Abstract
Objective Our objective was to investigate soluble angiotensin-converting enzyme (sACE) levels in pediatric patients with coronavirus disease 2019 (COVID-19) and to identify factors associated with the occurrence and severity of pediatric COVID-19.
Methods This was a prospective cohort study conducted between April 2020 and July 2020. The study population consisted of 143 children (between 1 month and 18 years old), 103 of whom had COVID-19 and 40 of whom were negative for COVID-19 (randomly selected). The sACE levels and other laboratory data of all participants were measured at admission (day 0, baseline). Repeat measurements were performed in patients on the 5th day. Disease severity was documented at baseline and on the 5th day, and the change in severity between these time points was recorded.
Results Age and sex distribution were similar in the two groups. At baseline, 31 (30.1%) of the patients were asymptomatic, 58 (56.3%) had mild disease, and 14 (13.6%) had moderate disease. Baseline sACE levels were similar in the groups (p = 0.120). Higher weight was independently associated with low sACE levels in children (p = 0.037). The sACE level of patients on the 5th day was significantly lower compared with baseline (p = 0.007). Patients who experienced a decrease in disease severity were compared with those who did not demonstrate a decrease. Baseline sACE levels were significantly lower in those who experienced decreased severity (p = 0.039). Multiple linear regression revealed that COVID-19 severity at baseline was independently associated with the low sACE level at baseline (p = 0.023).
Conclusion Lower sACE at diagnosis was associated with COVID-19 severity in children. However, no strong evidence was found that could suggest the sACE level as an important predictor for the occurrence or severity of COVID-19 in children.
Price discovery and volatility spillovers in the interest rate derivatives market
Authors: Chen Congxiao , Chen Wenya , Shang Li , Wang Haiqiao , Tang Decai , Lansana David D. 
Published: March 2024

AbstractThe interest rate derivatives market is an important force in promoting the development of the bond market and is an effective tool to manage interest rate risk. The research on price discovery and volatility spillover of the market can help provide valuable reference information for investors. Based on treasury bond futures and interest rate swaps, the paper aims to discuss the price discovery function and spillover structure of the interest rate derivatives market. The paper establishes the information share model and spillover index model for empirical analysis. The results show that: First, the calculation results of the information share model show that the price discovery of treasury bond futures and interest rate swap markets is stronger than that of the spot market. Second, based on structural break analysis, treasury bond futures and interest rate swaps do not have breakpoints, while the treasury bond spot has three breakpoints. The paper divides the entire sample into four stages based on structural breakpoints and finds that the price discovery ability of the interest rate derivative market dynamically changed. Third, as a net spillover in the market, treasury bond futures have developed relatively stable. Both treasury bond futures and interest rate swaps have spillover effects on the spot market, indicating that China’s interest rate derivatives market can impact the treasury bond spot market.
A new spatial model for tracking plant spore dispersal and disease spread
Authors: Thaweewattananont Jirathun , Zarin Rahat , Humphries Usa Wannasingha , Khan Amir 
Published: March 2024

Plant diseases caused by spores can cause severe damage to crop production, resulting in yield losses of up to 75%. Spores can be carried over long distances by wind, water, insects, and humans, meaning that even one infected agricultural field can spread the disease to neighboring fields. Although mathematical models exist to describe the spread of plant diseases, they often do not take into account the transport and location of spores, which limits the ability to make spatial forecasts. To address this limitation, we developed a spatial model based on Healthy sites H, Latent sites L, Infected sites I, Removed sites R, and spore sites X (HLIRX), which describes the spore movement between fields, allowing us to simulate the spatial invasion of plant diseases. We analyzed the existence and stability of steady states in the model using the finite difference method. Our findings reveal that the disease-free equilibrium is unstable, while the boundary and endemic equilibria are asymptotically stable, depending on the spore dispersion term. Moreover, we observed that the dynamics of the population in each field exhibit a consistent pattern, with leftward or rightward shifts depending on the distance from the source of infection, which cannot be captured from the temporal model. We also investigated the impact of two spatial parameters, the dispersal kernel parameter and spore migration rate, and found that both parameters lead to an increase in the number of infected plants but have no significant effect on disease severity. In addition, we discovered that the time until the infected population peaks is linearly related to the distance between each field and the source of infection, with a Pearson correlation coefficient greater than 0.99 (p &lt; 0.001). Our developed model provides a useful tool for studying the spatial dispersion of plant diseases distributed by spores, as it considers the transport and location of spores and can be used to make spatial forecasts.
Asymmetric optical transmission through periodic metallic hemisphere arrays on the transparent substrates
Authors: Yang Hua , Lou Chaogang , Huang Xiaodan 
Published: March 2024

Abstract
Asymmetric optical transmission is useful in various fields such as electromagnetic shielding, photovoltaic devices, and optical diodes owing to its directional selectivity for light. This work theoretically investigates asymmetric optical transmission by the periodic metallic hemisphere arrays on the transparent substrates. It is found that the formation of asymmetric optical transmission can be attributed to two aspects: the difference in the driving electric field and the first-order diffraction of the arrays. The maximum asymmetric optical transmission results from the match between the resonance wavelength of the arrays and the cut-off wavelength of the first-order diffraction inside the substrates. The bandwidth of asymmetric optical transmission is determined by the cut-off wavelength of the first-order diffraction inside the substrates. In addition, the effects of the structural parameters, including the radius of the metallic hemisphere and the material of the transparent substrate, on the maximum asymmetric optical transmission and the bandwidth are studied. This work provides design guidelines for practical devices to apply asymmetric optical transmission.
Development and evaluation of immersive VR laboratories of organic chemistry and physics for students education
Authors: Naz Zubaira , Azam Ayesha , Khan Muhammad Usman Ghani , Saba Tanzila , Al-Otaibi Shaha , Rehman Amjad 
Published: March 2024

Abstract
In science education, the use of laboratory experiments has a critical role. However, experiments can cause excessive material waste, and safety issues must be taken seriously. Virtual laboratories and simulations have become a useful and effective alternative to in-person, hands-on laboratories as a result of the educational possibilities afforded by information and communication technology. With virtual reality (VR), students can depict scientific phenomena through virtual practical experiments that use computer simulation. In this work, VR-based lab simulations of physics and chemistry experiments were introduced. Chemistry lab includes 3 experiments from organic chemistry (identify aldehydes using Tollen’s test, identify ketones using the 2,4-dinitrophenyl hydrazine test, and identify carboxylic acids using the sodium carbonate test) and physics lab includes 2 experiments on series and parallel current, accomplished through the use of the real-time 3D graphics and pre-rendered animations. Further, to assess the usability of the developed system, 20 students were surveyed as research subjects and they filled out the SUS survey after conducting the VR experiments in Oculus Quest 2. . The average score for the VR chemistry lab simulations was 92.63%, and, the average score for the physics lab was 93.38%, indicating a high level of performance and achievement among the participants. Further, in the comparative study evaluating knowledge retention and learning experience, the experimental group (VR, N=20) outperformed the control group (traditional, N=13), indicating a more favorable learning experience. All participants from the experiment group reported that virtual labs were easy to use. Overall, findings from the Knowledge Retention survey show that interactive laboratory activities enhance students’ understanding of chemical processes and practical skills.
Comprehensive DFT investigation of ternary thallium tetragonal crystals: assessing their viability for solar cell applications
Authors: Helaimia T , Maabed S , Benmakhlouf A , Bouhemadou A , Fares F , Bouchenafa M , Bentabet A , Bin-Omran S 
Published: March 2024

Abstract
To ascertain the suitability of the TlInX2 (X = S, Se, Te) tetragonal structures for photovoltaic applications, first-principles calculations were carried out using the pseudopotential plane wave method to assess the structural, electronic, elastic, and optical characteristics of the considered compounds via the DFT software CASTEP. For all three compounds, our calculated structural parameters were in excellent agreement with both the experimental and previous theoretical results. Our calculations provided the first predicted elastic constants for the TlInS2, TlInSe2 and TlInTe2 compounds. The three tetragonal systems were mechanically stable and exhibited pronounced and noticeable elastic anisotropy. Analysis of the optical properties revealed that TlInX2 (X = S, Se, Te) exhibited distinct absorption in the ultraviolet radiation range and pronounced optical anisotropy. The calculated bandgap values obtained using the HSE06 hybrid functional were 1.68 eV, 1.38 eV, and 1.36 eV for TlInS2, TlInSe2 and TlInTe2, respectively. These findings are of significant interest because they categorize all three compounds as promising candidates for use in photovoltaic cell applications.
Quasiparticles for the one-dimensional nonlocal Fisher-Kolmogorov-Petrovskii-Piskunov equation
Authors: Kulagin Anton E , Shapovalov Alexander V 
Published: March 2024

Abstract
We construct quasiparticles-like solutions to the one-dimensional Fisher-Kolmogorov-Petrovskii-Piskunov (FKPP) with a nonlocal nonlinearity using the method of semiclassically concentrated states in the weak diffusion approximation. Such solutions are of use for predicting the dynamics of population patterns using analytical or semi-analytical approach. The interaction of quasiparticles stems from nonlocal competitive losses in the FKPP model. We developed the formalism of our approach relying on ideas of the Maslov method. The construction of the asymptotic expansion of a solution to the original nonlinear evolution equation is based on solutions to an auxiliary dynamical system of ODEs. The asymptotic solutions for various specific cases corresponding to various spatial profiles of the reproduction rate and nonlocal competitive losses are studied within the framework of the approach proposed.
Innovative approaches to high school physics competitions: Harnessing the power of AI and open science
Authors: Borovský D , Hanč J , Hančová M 
Published: March 2024

Abstract
High school physics competitions serve as a platform for talented students to showcase their skills, engage in challenging problems, and foster a passion for science. This paper explores innovative approaches to enhance these competitions by harnessing the power of open science and artificial intelligence (AI) tools. Particularly we delve into the capabilities of state-of-the-art AI chatbots, i.e. ChatGPT, Bard, Claude, related to problem solving in physics. Together with open science tools like SageMath and Jupyter AI, they have the potential to serve as intelligent, powerful co-pilots, tutors, and assistants in understanding and applying physics, as well as knowledge from connected STEM fields. Furthermore, these innovative approaches can revolutionize high school physics competitions, providing students and their tutors with powerful resources to excel in their scientific pursuits.
Blended learning: A data-literate science teacher is a better teacher
Authors: Hanč J , Borovský D , Hančová M 
Published: March 2024

Abstract
The COVID-19 pandemic has underscored the importance of blended learning in contemporary physics and, more generally, STEM education. In this contribution, we summarize current pedagogical models of blended learning, such as rotational and flexible non-rotational models, and customizable configurations of physical and virtual learning spaces. With the inevitable integration of digital technology as one of the pillars of blended learning, teachers find themselves in an unprecedented position to not only obtain data more frequently but also analyze it and adjust instruction accordingly. Consequently, we discuss a crucial element of blended learning effectiveness: data management and usage. In this context, data literacy for teaching emerges as an essential skill for effective blended learning, encompassing the ability to transform various data types into actionable instructional knowledge and practices. In other words, current research in physics education shows that a data-literate science teacher is a more prosperous and effective teacher.
Adding more coherent light to the education
Authors: Šebelík V 
Published: March 2024

Abstract
The laser technology and its usage are often neglected in physics courses at high schools. However, not only Generation Z but also the subsequent generations will be surrounded by technologies using (albeit covertly) lasers. It is desirable that students know about this technology and are able to use it. There are a plethora of STEM experiments that can be done with the help of laser light. We successfully demonstrate some of these experiments together with a short presentation about laser principles to high school students who visit our faculty as part of various events. These experiments can also be performed in high schools, each of them showing one or more of the three basic features of laser light - coherence, monochromaticity, and directionality.
Study of circular and rotational motion with the help of experimentation and mathematical modeling enhanced by digital technologies
Authors: Kotvytska Klavdiia , Ješková Zuzana 
Published: March 2024

Abstract
Circular and rotational motion belongs to basic topics studied at upper secondary school and courses on Mechanics at University. Many studies show problems in understanding basic concepts related to kinematics and dynamics of these motions. In this paper we present a series of inquiry activities aimed at developing the understanding of these concepts and the laws of circular and rotating motion with the effective use of digital technologies. The activity on the videomeasurement of a uniform and decelerating bicycle wheel motion analyses the basic kinematic concepts. In the experiments carried out with the help of a centripetal force apparatus with the rotating system of carriages, the dynamics of circular motion can be investigated by observing and analysing the effect of various parameters on the centripetal force acting on the carriage. In addition to that, a mathematical model for decelerated motion of a bicycle wheel and a carriage can be designed. By manipulating and simulating the model for different parameters the best correspondence with experimental data can be found. The activities can be implemented at confirmation or guided inquiry level. Applying experimental as well as modelling approach to answer research questions students learn how science and physicists work.
Active learning in STEM education
Authors: Ješková Zuzana , Šnajder Ľubomír , Guniš Ján 
Published: March 2024

Abstract
Although inquiry-based learning originated in physics and science education, where students are involved in authentic scientific practices, it also occurs in mathematical or technological contexts. This approach to learning mirrors the procedure and thinking that scientists, engineers, and innovators use in the real world. As a result, inquiry-based learning naturally suits to related disciplines such as science, technology, engineering and mathematics or STEM disciplines. In this paper we present examples of STEM related projects designed for students in order to solve real-life problems using digital technologies to support inquiry represented by modelling or experimental approach. Examples of interdisciplinary projects involve motion of sportsmen, sky or scuba divers, or solving other problems using various programming platforms. Students working on interdisciplinary projects effectively use and deepen their knowledge from different subjects and develop skills to use smart technologies and coding. As a result, they move from the role of passive users to active learners and designers.
Is there a difference in the education of generations across time?
Authors: Spodniaková Pfefferová M , Hruška M , Raganová J , Holec S 
Published: March 2024

Abstract
An interesting reading tends to be a summary of the dominant characteristics of each generation, which can be found in scientific and vocational publications as well as in media with popularization texts. Very often, we also identify among them our own characteristics and qualities, or those of our peers, children, and possibly other descendants. It is natural that the development of science and technology has a significant role in shaping the personality profile of the members of each generation during the historical development of society (for example, from the “lost” generation to the “alpha” generation). This factor influences the content, methodological and didactic aspects of the teaching process, i.e. what and how to teach. The authors of the paper have worked on several aspects of the preparation of teaching materials and their use in school physics, often with overlap with other science subjects. One of these aspects is, for example, the need to influence the emotional side of the student in learning processes, which is an important prerequisite for more permanent “inscriptions” of information in the student’s memory. For this process to work, knowledge of the dominant characteristics of the target group of students and the environment in which they grow up is essential.