Level Of Complexity Research Articles

Evolving testing scenario generation and intelligence evaluation for automated vehicles

Interaction between the background vehicles (BVs) and automated vehicles (AVs) in scenario-based testing plays a critical role in evaluating the intelligence of the AVs. Current testing scenarios typically employ predefined or scripted BVs, which inadequately reflect the complexity of human-like social behaviors in real-world driving scenarios, and also lack a systematic metric for evaluating the comprehensive intelligence of AVs. Therefore, this paper proposes an evolving scenario generation method, employing deep reinforcement learning (DRL) to construct human-like BVs that interact with AVs, and this evolving scenario is designed to test and evaluate the intelligence of AVs. Firstly, a class of BV driver models with human-like competitive, mutual, and cooperative driving motivations is designed. Then, utilizing the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm and an improved level-k training procedure, the three distinct driver models acquire game-based interactive driving policies. And these driver models are combined to generate evolving scenarios in which they can interact continuously and evolve diverse contents. Next, a framework including safety, driving efficiency, and interaction utility are presented to evaluate and quantify the intelligence performance of 3 systems under test (SUTs), indicating the effectiveness of the evolving scenario for intelligence testing. Finally, the complexity and fidelity of the proposed evolving testing scenario are validated. The results demonstrate that the proposed evolving scenario exhibits the highest level of complexity compared to other baseline scenarios and has more than 85% similarity to naturalistic driving data. This highlights the potential of the proposed method to facilitate the development and evaluation of high-level AVs in a realistic and challenging environment.

Data Visualization & Analysis of Disease X [Nipah Virus

Abstract: This article is about performing mathematical analysis and visualization of data that was researched and collected about Nipah Virus; which is treated as Disease X[deadly disease] by World Health Organization. It includes information about the field of Data Analysis and Visualization techniques which associate closely with current era and the project itself. Furthermore, there is description which provides information about the main application developed and implemented. The variety of research papers that were made use of, along-with significantly valuable data are cited too. Data Analyses has very close connection with data science, however, the key difference lies in its actual working, as Data Analysis makes extensive use of historically available data & generates important insights from them, which are very considerable for future operations. Thus, due to such complex level usage, Data Analysis has gained recognition in the recent years, which makes it important for professionals to add it as a part of daily life tasks. When it comes to real time usage, Data Analyses is used for many purposes which includes but is not limited to customer preferences, finance sectors, research in markets and also in assessment of variety of risks. Data Analysis thus, has introduced a massive number of futuristic achievable tasks by taking important notes from the ones that were conducted in the past

Effect of low versus high balance training complexity on balance performance in male adolescents

ObjectiveThe current study aimed to determine the effects of low (i.e., balance task only) versus high (i.e., balance task combined with an additional motor task like dribbling a basketball) balance training complexity (6 weeks of training consisting of 2 × 30 min balance exercises per week) on measures of static and dynamic balance in 44 healthy male adolescents (mean age: 13.3 ± 1.6 years).ResultsIrrespective of balance training complexity, significant medium- to large-sized pretest to posttest improvements were detected for static (i.e., One-Legged Stance test, stance time [s], 0.001 < p ≤ 0.008) and dynamic (i.e., 3-m Beam Walking Backward test, steps [n], 0.001 < p ≤ 0.002; Y-Balance-Test-Lower-Quarter, reach distance [cm], 0.001 < p ≤ 0.003) balance performance. Further, in all but one comparison (i.e., stance time with eyes opened on foam ground) no group × test interactions were found. These results imply that balance training is effective to improve static and dynamic measures of balance in healthy male adolescents, but the effectiveness seems unaffected by the applied level of balance training complexity.

Reconstructing rodent brain signals during euthanasia with eigensystem realization algorithm (ERA)

We accurately reconstruct the Local Field Potential time series obtained from anesthetized and awake rats, both before and during CO2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$_2$$\\end{document} euthanasia. We apply the Eigensystem Realization Algorithm to identify an underlying linear dynamical system capable of generating the observed data. Time series exhibiting more intricate dynamics typically lead to systems of higher dimensions, offering a means to assess the complexity of the brain throughout various phases of the experiment. Our results indicate that anesthetized brains possess complexity levels similar to awake brains before CO2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$_2$$\\end{document} administration. This resemblance undergoes significant changes following euthanization, as signals from the awake brain display a more resilient complexity profile, implying a state of heightened neuronal activity or a last fight response during the euthanasia process. In contrast, anesthetized brains seem to enter a more subdued state early on. Our data-driven techniques can likely be applied to a broader range of electrophysiological recording modalities.

Linguistic Features of Secondary School Writing: Can Natural Language Processing Shine a Light on Differences by Sex, English Language Status, or Higher Scoring Essays?

This article provides three major contributions to the literature: we provide granular information on the development of student argumentative writing across secondary school; we replicate the MacArthur et al. model of Natural Language Processing (NLP) writing features that predict quality with a younger group of students; and we are able to examine the differences for students across language status. In our study, we sought to find the average levels of text length, cohesion, connectives, syntactic complexity, and word-level complexity in this sample across Grades 7-12 by sex, by English learner status, and for essays scoring above and below the median holistic score. Mean levels of variables by grade suggest a developmental progression with respect to text length, with the text length increasing with grade level, but the other variables in the model were fairly stable. Sex did not seem to affect the model in meaningful ways beyond the increased fluency of women writers. We saw text length and word level differences between initially designated and redesignated bilingual students compared to their English-only peers. Finally, we see that the model works better with our higher scoring essays and is less effective explaining the lower scoring essays.

Ultra-diluted complex additive in the diet reveals benefits in the intestinal tract of nursery-phase piglets.

This study aimed to assess an ultra-diluted (UD) complex, as a replacement for an antimicrobial growth promoter in diets, on growth performance, intestinal health, and inflammatory response of nursery piglets. The experiment lasted 37 days and involved 126 animals weaned at 21 ± 1.3 d, with an initial body weight of 5.62 ± 1.16kg. Piglets were assigned to six dietary treatments in a randomized block design with seven replicates and three piglets per pen as experimental unit. The treatments were: positive control (PC)- basal diet + 120mg/kg of chlorohydroxyquinoline; negative control (NC)- basal diet without additives; and NC containing 4.5; 6.0; 7.5 or 9.0kg of UD additive/ton diet. Performance data were calculated, and daily diarrhea was observed. Blood samples were collected for hematological analysis. At the end of the experiment, one animal per pen was slaughtered for organ weighing, pH, and the collection of intestinal samples for histopathology. Feces and cecal contents were collected for microbiological and antibiogram analyses. There was no difference in the performance between the treatments. Throughout the study, UD levels were equal to those of PC for diarrhea occurrence. Higher levels of UD complex led to higher total leukocyte counts. The 4.5 treatment showed a reduction in total and thermotolerant Enterobacteriaceae populations in piglet feces and an increase in lactic acid bacteria compared to PC. All treatments resulted in fewer duodenal histopathological alterations than those in the NC group. The use of UD additives, especially at 4.5kg/ton, is a good alternative to chlorohydroxyquinoline in piglet diets.

Modeling Cost-Estimation Factors for Public Building Projects with Hybrid Approach in Addis Ababa

Assessing the most important cost-influencing factors is essential for enhancing the predictive ability of cost estimation for building construction projects. The goal of this study is to examine and design a valid cost prediction model for assessing factors that impact the cost estimation of public buildings in Addis Ababa. This research solves these issues that typically arise in predictive cost estimation models in two major processes. First, the insights of 133 professionals gathered on the 38 cost-impacting elements, and 15 top factors design, time or cost, and parties’ experience were determined. The suggested hybrid approach is based on the Akaike information criterion (AIC) and principal component regression (PCR) employed, coupling a stepwise linear regression model. According to the findings of the study, principal component analysis reduced important factors to 14 and efficiently solved the problem of multicollinearity with a variance inflation factor of less than 2, while stepwise cross-validation solved the overfitting problem at the lowest AIC. The cost prediction model sorted out five factors: design completion by the public body when bids are invited; completion of the project scope definition when bids are invited; level of construction complexity; importance of project completion within budget; and subcontractor experience and capability have all been identified as the main cost-determining factors. The study’s contribution is the first approach (PCR–AIC) utilized in this work to explore numerous cost-estimating components, eliminate those that were related to one another, and identify the most crucial ones that consisted of the majority of the original variables’ attributes.

Screening and Identification of Neutrophil Extracellular Trap-related Diagnostic Biomarkers for Pediatric Sepsis by Machine Learning.

Neutrophil extracellular trap (NET) is released by neutrophils to trap invading pathogens and can lead to dysregulation of immune responses and disease pathogenesis. However, systematic evaluation of NET-related genes (NETRGs) for the diagnosis of pediatric sepsis is still lacking. Three datasets were taken from the Gene Expression Omnibus (GEO) database: GSE13904, GSE26378, and GSE26440. After NETRGs and differentially expressed genes (DEGs) were identified in the GSE26378 dataset, crucial genes were identified by using LASSO regression analysis and random forest analysis on the genes that overlapped in both DEGs and NETRGs. These crucial genes were then employed to build a diagnostic model. The diagnostic model's effectiveness in identifying pediatric sepsis across the three datasets was confirmed through receiver operating characteristic curve (ROC) analysis. In addition, clinical pediatric sepsis samples were collected to measure the expression levels of important genes and evaluate the diagnostic model's performance using qRT-PCR in identifying pediatric sepsis in actual clinical samples. Next, using the CIBERSORT database, the relationship between invading immune cells and diagnostic markers was investigated in more detail. Lastly, to evaluate NET formation, we measured myeloperoxidase (MPO)-DNA complex levels using ELISA. A group of five important genes (MME, BST1, S100A12, FCAR, and ALPL) were found among the 13 DEGs associated with NET formation and used to create a diagnostic model for pediatric sepsis. Across all three cohorts, the sepsis group had consistently elevated expression levels of these five critical genes as compared to the normal group. Area under the curve (AUC) values of 1, 0.932, and 0.966 indicate that the diagnostic model performed exceptionally well in terms of diagnosis. Notably, when applied to the clinical samples, the diagnostic model also showed good diagnostic capacity with an AUC of 0.898, outperforming the effectiveness of traditional inflammatory markers such as PCT, CRP, WBC, and NEU%. Lastly, we discovered that children with high ratings for sepsis also had higher MPO-DNA complex levels. In conclusion, the creation and verification of a five-NETRGs diagnostic model for pediatric sepsis performs better than established markers of inflammation.

Removal of spontaneously fractured leads with their proximal ends in the heart and vasculature -experience among 3847 lead extraction procedures

Abstract Background Spontaneous fractures and insulation breaks of the intracardiac leads near their entry into the venous system cause the proximal end of the fractured lead slide into the veins, with potential subsequent looping in the heart and secondary complications. So far, this topic has not been extensively studied. As it is a relatively uncommon finding, it has been described in a few number of case studies only. The aim of the study was to describe the phenomenon of leads migrated proximal end (LMPEs) into the cardiovascular system and techniques for such leads removal. Methods Retrospective analysis of 3847 transvenous lead extractions (TLE). Results Over a 17-year period 72 (1.87%) leads with migrated proximal ends (LMPEs) (mean dwell time 148.0 months) were extracted, mainly ventricular leads (56.94%). Overall, 68.06% of MPLEs had their cut proximal ends located in the venous system. Most of them were pacing (95.83%) and passive fixation (98.61%) leads. Independent risk factors for LMPEs included abandoned leads (OR=8.473; p&amp;lt;0.001) and leads on both sides of the chest (2.981; p=0.045). Higher NYHA class lowered the probability of leads with migrated proximal ends (LMPEs) (OR=0.380; p&amp;lt;0.001). Extraction complexity was higher in the MPLE group than in remained patients. Femoral approach was most often used (62.50%), contrary to superior (23.61%) and combined approach (11.11%). Lead dilatation was necessary in 80.56%, and grasping and traction was effective in 18.06%. In 66.7%, the proximal end was strongly attached to the wall and a pulling loop had to be applied. In 15.28% of procedures the lead was wrapped around a pig-tail catheter ("spaghetti twisting technique"), which was sometimes sufficient to free the lead end. This manoeuvre was especially helpful in releasing the leads with their tip in the distal branch of the pulmonary artery. All these manoeuvres were performed from the femoral or superior approach, depending on the anatomical conditions. Extraction of MPLEs did not influence long-term survival. The rate of major complications was 2.78% but it may be attributed to long implant duration (152.2 months) and were not the result of extraction of LMPEs. Conclusions 1. Extraction of leads with migrated proximal ends (LMPEs) is rare among other TLE procedures (1.9%), 2. Risk factors include abandoned leads and presence of leads on both sides of the chest. 3. Complexity of LMPEs extraction is higher as regards procedure duration, unexpected procedure difficulties, use of advanced tools and techniques but rates of major complications are comparable to other leads but in spite of a high level of procedure complexity its effectiveness is also high (procedural success rate 93.06%) with an acceptable rate of major complications. 4. Extraction of LMPEs did not influence long-term survival.

Participation of miR165a in the Phytochrome Signal Transduction in Maize (Zea mays L.) Leaves under Changing Light Conditions

The involvement of the microRNA miR165a in the light-dependent mechanisms of regulation of target genes in maize (Zea mays) has been studied. The light-induced change in the content of free miR165a was associated with its binding by the AGO10 protein and not with a change in the rate of its synthesis from the precursor. The use of knockout Arabidopsis plants for the phytochrome A and B genes demonstrated that the presence of an active form of phytochrome B causes an increase in the level of the RNA-induced silencing miR165a complex, which triggers the degradation of target mRNAs. The two fractions of vesicles from maize leaves, P40 and P100 that bind miR165a, were isolated by ultracentrifugation. The P40 fraction consisted of larger vesicles of the size &gt;0.170 µm, while the P100 fraction vesicles were &lt;0.147 µm. Based on the quantitative PCR data, the predominant location of miR165a on the surface of extracellular vesicles of both fractions was established. The formation of the active form of phytochrome upon the irradiation of maize plants with red light led to a redistribution of miR165a, resulting in an increase in its proportion inside P40 vesicles and a decrease in P100 vesicles.

LECOM (Lead Extraction COMplexity): a new scoring system for prediction of a difficult procedure

Abstract Background Transvenous lead extraction (TLE) can become far more complex when unanticipated difficulties arise. Aim The aim of this study was to develop a simple scoring system that allows prediction of difficulty and complexity of this important procedure. Methods Based on a retrospective analysis of 3741 extraction procedures (extended fluoroscopy time, need for second-line instruments, and advanced techniques and instruments), a 5-point Complex Indicator of Difficulty of T(LE) Procedure (CID-TLEP) scale was developed. Two or more points on the CID-TLEP scale indicated a higher level of procedure complexity. Results Multivariate regression analysis showed that patient age below 51 years at first CIED implantation, number of abandoned leads, number of previous CIED-related procedures, passive fixation leads to be extracted, multiple leads to be extracted, and a ratio of dwell time of oldest extracted lead to patient age during TLE of &amp;gt;0.13 are significant predictors of higher levels of lead extraction complexity. The ROC analysis demonstrated that the total number of points (the sum of the odds ratios of the above variables) of &amp;gt;9.697 indicated a 21.83% higher probability of complex TLE (sensitivity 74.08%, specificity 74.46%). Finally, the logistic function model was employed, and a simple equation for Lead Extraction COMplexity was constructed to predict the probability of a difficult procedure. The risk of complex extraction (in percentage) was calculated as [1/(1 + 55.34·0.754X)]·100 (P &amp;lt; 0.001). Conclusion (1) The LECOM score can effectively predict the risk of a difficult transvenous lead extraction procedure, and (2) Predicting the probability of a more complex procedure may help clinicians in planning lead removal and improving patient management. (3) Simple on-line calculator should be available to predict a difficulty of planned TLE procedure and to allow to send more demanding patient to more experienced high-volume centre.

Construction of Sagrada Famlia --Building the Architecture and Sacred Space in the Modern World

This research report examines the construction and evolution of the Sagrada Familia in Barcelona, focusing on the level of complexities of the global debates on the proceeding construction of the project. This study delves into the original vision of the second leading architect, Antoni Gaudi, and his political perspective within the church, then subsequent shifts into the transforming design philosophy after Gaudis death, considering factors such as tourism and urban plans. Through a thorough analysis of architecture itself, this research investigates the ongoing debate over the cathedrals completion and the concept of sacred space, revealing the tension between the churchs initial identity and the continuing of construction of novel sacred space. The study concludes that the cathedral has evolved into a symbol not only of the Catalan community but also of broader application such as religious tourism, continuing to drift away from Gaudis insightful purpose, however, reshaping the sacred space benefits the society economically.

#2314 Circulating immune complexes concentration and complement activation in sensitized kidney transplant recipients

Abstract Background and Aims Chronic antibody mediated rejection of the kidney transplant is the most common cause of graft loss in the late posttransplant period. Crucial in this process seems to be the role of classical pathway complement activation due to the formation of immune complexes. The formation of immune complexes is a benign process of a normally functioning immune system. In kidney transplant recipients (KTRs), the production of donor specific IgG/IgM antibodies (DSAs) against donor antigens (MHC molecules, ABO blood group antigens) leads to the attachment of immune complexes to cell membranes and subsequent tissue damage through complement activation. The attachment of C1q complement fragment to the immune complexes holds an important part in this process. This study aims to determine the levels of immune complexes as well as classical pathway complement activation in sensitized kidney transplant recipients. Method In this cross-sectional study 3 groups of KTRs were compared as to the levels of immunocomplexes concentration and classical pathway complement activation. Fourteen KTRs with preformed or de novo donor specific antibodies were compared to 28 kidney transplant recipients with no DSAs and to 22 subjects with no history of chronic kidney disease (controls). We used MicroVue Complement CIC-C1q EIA that is designed to detect immunocomplexes that bind to C1q in human serum or plasma. In order to estimate total classical pathway complement activation in serum, we used MicroVue Complement CH50 Eq EIA. Results Kidney function (eGFR) of KTRs with and without DSAs was similar (53.1 ± vs. 60.8 ± ml/min/1.73 m2, p = 0.54) but lower in comparison to controls (106.4 ml/min/1.73 m2, p &amp;lt; 0.001). We found a significantly higher concentration of C1q-immunocomplexes in the serum of KTRs with donor specific antibodies, in comparison to controls, as well as to the group of kidney transplant recipients with no DSAs (6.78 ± 2.7 vs. 4.83 ± 1.9 vs. 5.04 ± 1.2 μgEq/ml respectively, p = 0.0078). Furthermore, there was no significant difference of C1q-immunocomplexes between kidney transplant recipients with no DSAs and controls. Finally, a significant reduction of CH50 levels was observed in KTRs with DSAs as compared to controls and KTRs with no DSAs (39.2 ± 14.9 vs. 70.6 ± 34.3 vs. 67.9 ± 39.9 U/ml respectively, p = 0.003), which suggests higher levels of classical pathway complement activation. CH50 levels in KTRs with DSAs, who were further subcategorized in those with preformed and those with de novo DSAs were similar (39.68 ± 15.6 vs 39.08 ± 16.04 U/ml). Conclusion Kidney transplant recipients with donor specific antibodies have increased serum levels of immune complexes and increased classical pathway complement activation.

Desvendando a influência das heterogeneidades e da extração no fluxo de água subterrânea e no transporte de soluto em um aquífero de carbonato fraturado, na Sicília, Itália

AbstractThe migration of a groundwater contaminant plume consisting of light nonaqueous phase liquids (LNAPLs) along the Ionian coastline of Sicily, Italy, has been reported to follow a trajectory that is inconsistent with the regional hydraulic gradient. The influence of several faults affecting the fractured carbonate bedrock aquifer, and groundwater abstraction from a well, were hypothesized to be responsible for the anomalous trajectory of the contaminant plume. A conceptual hydrogeological model was developed for the study area that incorporated structural information derived from geophysical surveys and the mapping of fractures in bedrock outcrops. This conceptual model was incorporated into numerical groundwater flow and solute transport models to simulate the groundwater transport of the light nonaqueous phase liquids. Four model scenarios representing different levels of complexity were tested to assess the relative influence of geological heterogeneity and groundwater abstraction on the migration of the contaminant plume. Results show that underground major discontinuity systems, invoking the presence of the faults in the model domain accounted for the observed migration of the contaminant plume, act as conduits for groundwater flow. Conversely, groundwater abstraction from a well was found to result in relatively minor, localized impacts to the migration of the contamination plume. This study demonstrates the importance of incorporating geological heterogeneity into groundwater modelling and environmental risk assessments associated with the storage of LNAPLs.

Toward Multiscale, Multimaterial 3D Printing.

Biological materials and organisms possess the fundamental ability to self-organize, through which different components are assembled from the molecular level up to hierarchical structures with superior mechanical properties and multifunctionalities. These complex composites inspire material scientists to design new engineered materials by integrating multiple ingredients and structures over a wide range. Additive manufacturing, also known as 3D printing, has advantages with respect to fabricating multiscale, and multi-material structures. The need for multifunctional materials is driving 3D printing techniques toward arbitrary 3D architectures with the next level of complexity. In this paper, we aim to highlight key features of those 3D printing techniques that can produce either multiscale or multimaterial structures, including innovations in printing methods, materials processing approaches, and hardware improvements. Several issues and challenges related to current methods are discussed. Ultimately, we also provide our perspective on how to realize the combination of multiscale and multimaterial capabilities in 3D printing processes and future directions based on emerging research. This article is protected by copyright. All rights reserved.

Recent advances in molecular mechanisms of skin wound healing and its treatments

The skin, being a multifaceted organ, performs a pivotal function in the complicated wound-healing procedure, which encompasses the triggering of several cellular entities and signaling cascades. Aberrations in the typical healing process of wounds may result in atypical scar development and the establishment of a persistent condition, rendering patients more vulnerable to infections. Chronic burns and wounds have a detrimental effect on the overall quality of life of patients, resulting in higher levels of physical discomfort and socio-economic complexities. The occurrence and frequency of prolonged wounds are on the rise as a result of aging people, hence contributing to escalated expenditures within the healthcare system. The clinical evaluation and treatment of chronic wounds continue to pose challenges despite the advancement of different therapeutic approaches. This is mainly owing to the prolonged treatment duration and intricate processes involved in wound healing. Many conventional methods, such as the administration of growth factors, the use of wound dressings, and the application of skin grafts, are used to ease the process of wound healing across diverse wound types. Nevertheless, these therapeutic approaches may only be practical for some wounds, highlighting the need to advance alternative treatment modalities. Novel wound care technologies, such as nanotherapeutics, stem cell treatment, and 3D bioprinting, aim to improve therapeutic efficacy, prioritize skin regeneration, and minimize adverse effects. This review provides an updated overview of recent advancements in chronic wound healing and therapeutic management using innovative approaches.

Credit Assignment: Challenges and Opportunities in Developing Human-like Learning Agents

Temporal credit assignment is the process of distributing delayed outcomes to each action in a sequence, which is essential for learning to adapt and make decisions in dynamic environments. While computational methods in reinforcement learning, such as temporal difference (TD), have shown success in tackling this issue, it remains unclear whether these mechanisms accurately reflect how humans handle feedback delays. Furthermore, cognitive science research has not fully explored the credit assignment problem in humans and cognitive models. Our study uses a cognitive model based on Instance-Based Learning Theory (IBLT) to investigate various credit assignment mechanisms, including equal credit, exponential credit, and TD credit, using the IBL decision mechanism in a goal-seeking navigation task with feedback delays and varying levels of decision complexity. We compare the performance and process measures of the different models with human decision-making in two experiments. Our findings indicate that the human learning process cannot be fully explained by any of the mechanisms. We also observe that decision complexity affects human behavior but not model behavior. By examining the similarities and differences between human and model behavior, we summarize the challenges and opportunities for developing learning agents that emulate human decisions in dynamic environments.

Meta‐heuristic optimization techniques for scheduling in multiple‐input multiple‐output multiple‐access channel system

SummaryIn a highly dense multiple‐input multiple‐output (MIMO) communication system, proper resource allocation is exceedingly challenging. The simultaneous selection of antennas at the base‐station (BS) and scheduling of users in an uplink multiple access channel (MAC) system add up to the signal processing load in the MIMO wireless system. The method chosen for combining the user scheduling and antenna selection must have a very low computational complexity. However, the exhaustive search algorithm (ESA), which achieves the best sum‐rate capacity in a MIMO‐MAC system, has a very high level of complexity. In this paper, we use a metaheuristic‐based optimization algorithms to optimize the sum‐rate capacity in a MAC system with significantly less computational complexity. First, we use the beluga whale optimization (BWO) metaheuristic method to solve the optimization problem. The BWO is a swarm‐based algorithm that draws inspiration from beluga whale behavior. An improved BWO (iBWO) is also presented and is utilized for the same optimization challenge. The proposed iBWO scheme improves the search capability of the algorithm and thereby ensures better exploration and exploitation capabilities of the beluga whales. We compare the performance of these algorithms with a standard differential evolution (DE) algorithm. The simulation results demonstrate that the proposed iBWO is a very competitive meta‐heuristic algorithm for solving optimization problems. The proposed iBWO algorithm achieves near optimal throughput in a MIMO‐MAC system. Also, the computational complexity related to the suggested optimization technique in a MIMO‐MAC system is found to be very less compared with the complexity related to ESA.

A Pedagogical Model for Creating African-Inspired Piano Compositions: A Conceptual Thought

This paper is a review to establish a pedagogical model aimed at fostering creativity and cultural expression in piano composition through the lens of African musical traditions. As the world of music education embraces diversity and inclusivity, there is a growing need to explore pedagogical approaches that empower students to draw inspiration from their cultural heritage while developing their compositional skills. It is a proposed model that integrates elements of African musical traditions, including rhythms, melodies, and harmonic structures, into the process of piano composition for the various proficiency levels of piano instruction. The pedagogical model seeks to broaden the creative horizons of African compositions for the piano and deepen the understanding of the composers to exhibit cultural expression and inclusivity in music. Through a literature review, the paper births a model that can be leveraged to compose piano works within a certain complexity level at the students' experience. It is envisaged that the developed model can be used by composers for the piano within the concept of African pianism to make a potential impact on students' musical development. The paper contributes immensely to practical insights for educators seeking to inspire creativity and innovation in piano composition instructions.

Factors Influencing Willingness to Participate in Clinical Studies in Pediatric Anesthesia (FILIPPA): A vignette-based, structured interview study.

Informed consent is a relevant backdrop for conducting clinical trials, particularly those involving children. While several factors are known to influence the willingness to consent to pediatric anesthesia studies, the influence of study design on consenting behavior is unknown. To quantify the impact of study complexity on willingness to consent to pediatric anesthesia studies. We conducted a vignette-based interview study by presenting three hypothetical studies to 106 parents or legal guardians whose children were scheduled to undergo anesthesia. These studies differed in level of complexity and included an example of a prospective observational study, a randomized controlled trial, and a phase-II-pharmacological study. Primary outcome was the willingness to consent, using a 5-point Likert scale ranging from "absolutely consent" to "absolutely decline". Secondary outcomes were the effects of child-related (such as sex, age, previous anesthesia, research exposure) and proxy-related factors. Response probabilities for "absolute consent" were 90.9% [95% CI 85.3-96.5] for the observational study, 48.6% [95% CI 38.3-58.9] for the randomized controlled trial, and 32.7% [95% CI 23.9-41.6] for the phase-II-pharmacological study. Response probabilities for "absolutely decline" were 1.6% [95% CI 0.3-2.8], 14.4% [95% CI 8.3-20.5], and 24.7% [95% CI 16.6-32.7], respectively. Significant effects were found for previous research exposure (OR = 0.486 [95% CI 0.256-0.923], p = .027), older age (OR = 0.963 [95% CI 0.927-0.999], p = .045) and the gender of the parent or legal guardian, as mothers were less willing to consent (OR = 0.234 [95% CI 0.107-0.512], p < .001). Willingness to consent decreased with increasing level of study complexity. When conducting more complex studies, greater efforts need to be made to increase the enrollment of pediatric patients.