Dual Focus Research Articles

It’s an Imagined Fuṣḥatopia: Teacher Language Ideologies and Multilingual Practices in Arabic Heritage Learning in the United States

Abstract This article examines teacher ideologies and multilingual practices in teaching Arabic as a heritage language in the USA. Using indexicality and its nexus to language ideologies, it identifies the key index values assigned to Standard Arabic (SA) and how these shape teacher positioning for teaching Arabic heritage. The article also analyzes the extent to which these ideologies are congruent or incongruent with their classroom practices. The findings of in-depth semi-structured interviews showed teachers’ veneration of SA with representations that index ‘perfection’, ‘majesty’, ‘purism’, and ‘generosity’. Although teachers seemed tolerant of using Arabic dialects strategically, their overall positioning supported teaching SA and minimized teaching dialects. Drawing on data from a larger corpus of around 25 hr of classroom video recordings, teachers showed ubiquitous multilingual and multidialectal practices in classroom discourse. With its dual focus on language ideologies and practices, this article enriches the discussion about the idealization of SA (fuṣḥatopia) as restricting the potential of Arabic dialects as important resources for learning SA. It also disrupts the linguistic hierarchy between SA and the dialects.

Elevating electric motor performance through rigorous vibration control and standardization

This study addresses the critical need for enhanced vibration control and standardization in electric motors, pivotal to the operational efficiency of electric vehicles and thus, environmental sustainability. Recognizing the gap in unified standards for managing machine vibration, we propose a novel, integrated framework combining advanced vibrodiagnostic techniques and rigorous standardization processes. Our methodology involves a detailed analysis of existing vibration control practices, identifying deficiencies in current standards, and presenting an improved, comprehensive guideline tailored to electric motors’ unique requirements in transportation applications. The innovation of our approach lies in its dual focus on technical precision and environmental sustainability, offering a significant leap forward in vibrodiagnostics. We demonstrate the framework’s practical value through its potential to revolutionize electric motor maintenance strategies, enhance machine longevity, and reduce environmental impact. This research contributes to the broader goals of reducing greenhouse gas emissions and advancing sustainable transportation, emphasizing the importance of vibration control standards in achieving energy efficiency and reliability in electric transport systems.

On Social Media Photography

This article looks at the photography of Kris Graves and the circulation of the artist’s images on his social media accounts as a way of promoting social progress and racial justice, with a focus on his 2016 A Bleak Reality photoseries for Vanity Fair. The series consists of eight images that address the haunting specters of police brutality against eight African American male citizens who lost their lives at the hands of the state. Looking at Instagram, I posit a threefold claim about the social media photograph. First, I argue against the association of the social photo with the everyday. I examine a photoseries that initially participated in an economy of art but then migrated across a network of social relations in order to enhance its visibility—its dissemination ushering in the social life of the photograph that undergirds Black Lives Matter. Second, I suggest that the affective residues of Instagram’s content linger in an indexical trace that transcends the transplatform network’s digitally composited, modified, duplicated, and distributed images. This dual focus illuminates how social media function, on the one hand, as a technology of race while they allow Graves, on the other hand, to document instances of police brutality against African Americans. Third, in so doing, this article locates A Bleak Reality within a genealogy of civic media in order to explore how the co-optation of photography’s reproductive affordances by African American photographers, artists, scholars, intellectuals, and abolitionists has allowed them to construct a counter-archive of Black cultural production around historical movements for racial justice.

MACHINE LEARNING FOR CONCRETE SUSTAINABILITY IMPROVEMENT: SMART FLEET MANAGEMENT

In the dynamic landscape of modern business operations, ensuring economic security through efficient and intelligent fleet management is imperative. This necessitates a dual focus on safeguarding revenue streams and optimizing operational costs. The aim of this study centers on two main objectives: first, to identify driving behaviors that have a substantial impact on vehicle maintenance costs; second, to ensure the sustainability of the fleet is managed effectively. To achieve these objectives, the research employs unsupervised Machine Learning (ML) techniques for segmenting driving styles based on diverse parameters collected from Internet of Things (IoT) devices. Furthermore, the Long Short-Term Memory (LSTM) algorithm is used for forecasting fuel consumption, offering a predictive glance into future expenditures. The methodology is based on the analysis of data gathered from sensors installed on the vehicle's Controller Area Network (CAN), collected over a span of five months. The findings spotlight a subset of drivers whose aggressive driving significantly influences maintenance costs and highlight optimal indicators for drivers to monitor to minimize CO2 emissions. Additionally, the study identifies key performance indicators that drivers should monitor to reduce CO2 emissions, contributing to the environmental sustainability of the fleet. This investigation not only elucidates the financial and environmental implications of driving behaviors but also showcases the transformative potential of ML technologies in enhancing the strategic management of vehicle fleets. Through this exploration, the research advocates for the integration of advanced analytics and sustainable practices as foundational elements for businesses striving to achieve economic security and operational resilience.

Problems most concerning to parents of children with ADHD and emotional dysregulation in a randomized controlled trial of multinutrients: MADDY secondary analysis.

With dual focus on structured, objective quantification of parent observations of child's behavior and identifying behaviors most amenable to change, this report examines Parent Target Problems (PTP) as a secondary outcome in a randomized clinical trial (RCT) of children with attention-deficit/ hyperactivity disorder (ADHD) in which one primary outcome, Clinical Global Impression-Improvement, showed a significant advantage of multinutrients over placebo and the other, Likert-type parent ratings, showed significant improvement in both groups, without significant difference between them. In a multisite 8-week RCT of broad-spectrum micronutrients ("multinutrients"), parents of children ages 6-12 (N = 126, 73% male, 88% white) with ADHD and emotional dysregulation nominated their child's most concerning problem(s) at baseline and quantified them by frequency, duration, impairment, and consequences. At subsequent visits, parents re-quantified the problem(s). Blinded child psychiatrists independently reviewed the PTPs and rated change at two timepoints compared to baseline. PTPs were grouped into 9 categories. Mean ratings were compared between active and placebo groups and explored by category. By week 8, a significant separation favored multinutrients: 38% of the multinutrient group were "definitely improved" or better, compared to 25% of the placebo group, and ratings of "no change" or "worse" occurred in 35% with placebo versus 23% with multinutrients (p = 0.04). Inattention (72.2%) and emotional dysregulation (69.1%) were the most frequently reported PTP categories. Inattention and internalizing symptoms improved more with multinutrients than placebo (p = 0.01, d = 0.55; p = 0.03, d = 0.80, respectively). The multinutrient advantage was not significant for 7 other symptoms, including hyperactivity/impulsivity, aggression, autistic symptoms, or emotional dysregulation/irritable oppositionality. This secondary analysis found that the multinutrients, compared to placebo, were associated with improvements in parental concerns overall, and in two domains specifically: inattention and internalizing symptoms (anxiety/depression), but not in seven domains: hyperactivity/impulsivity, aggression, autistic symptoms or physiological symptoms, peer relationships or emotional dysregulation/irritable oppositionality.

The impact of integrated agricultural water pricing reform on farmers' income in China

Given its status as the largest water-using sector, it remains pivotal to enhance the water usage efficiency within the agricultural sector to safeguard water resources. The main goal of the Integrated Agricultural Water Pricing Reform (IAWPR) is to encourage water conservation and foster sustainable agricultural development. Nonetheless, achieving sustainable progress in agriculture necessitates a dual focus: not only on the sustainable exploitation of resources but also on upholding the welfare of the population. The impact of the policy on farmers' welfare is not straightforward and requires scientific verification. To this end, the study focuses on the new relationship between IAWPR and farmers' income, exploring its underlying mechanism to broaden the economic benefits of IAWPR. In addition, combining multi-phase Difference-in-Differences (DID) and biennial Malmquist-Luenberger (BML) productivity index overcomes the limitations of traditional measurement methods. The results indicate that the IAWPR has a significant positive impact on farmers, leading to a 31.9% increase in income, and the impact is even more pronounced in the non-farm sector. Furthermore, the IAWPR primarily operates through enhancing agricultural green total factor productivity (AGTFP), where technological change (TC) serves as the principal driving factor of improvements in agricultural efficiency.

The analytical assessment of metal contamination in industrial soils of Saudi Arabia using the inductively coupled plasma technology

Abstract In response to significant demand for evaluating the presence of heavy elements in diverse industrial areas of Saudi Arabia, the study sought to analyze the concentration ratios of 16 elements across 11 different artificial soil types in the industrial zones situated in Riyadh, Sudair, and Al-Ahsa. To achieve this objective, the research utilized the wet digestion technique and employed an ICPE-9000 spectrophotometer for quantifying element concentrations. The study had a dual focus: initially, it sought to gauge the pollution attributed to heavy metals arising from enrichment processes, and second, it evaluated the geographical accumulation of pollutants in the soil. The results revealed varying concentration levels of heavy metals across the industrial areas under study. Specifically, the soil in the Yanbu region exhibited the highest concentration values for iron, manganese, zinc, chromium, nickel, copper, cobalt, cadmium, and beryllium. In contrast, the soil in the industrial area of Riyadh had the highest concentration values for lead, mercury (Hg), molybdenum (Mo), selenium (Se), and arsenic (As). Furthermore, the highest concentration of Cd was recorded in the soil of the Jubail region. Conversely, the soil in the Al-Ahsa region displayed the lowest concentration levels for these heavy metals. The conductivity of the synthetic soil ranged from 0.47 to 6.07 μS·cm−1, accompanied by a pH range of 6.6–8.6. The results emphasized the fluctuations in element concentrations, indicating significant implications for both environmental and human health. Notably, around 20% of the gathered samples showed concentrations of heavy elements like Mo, As, Hg, and Se that surpassed the allowable limits.

The Impact of Content Learning Integrated Language (CLIL) on the Speaking Skill in the EFL Classroom at the Secondary Level

Many authors assert that the dual focus on CLIL on language and content develops higher-order critical thinking, cognitive engagement and fosters motivation. Originally emerging in Europe, the versatility and adaptability of this approach led to wider adoption in other parts of the world leading to multiple empirical and contextual articles. The purpose of this study was to identify the impact of CLIL on developing English language skills at the secondary level in Latin America to allow students to learn a second language in a meaningful context. Thus, this study uses a descriptive qualitative method to analyze studies that focus on the main challenges in applying CLIL at the secondary level, as well as how it has been implemented in Latin America over the last decade through different and interactive strategies that allow the students to increase oral communication in context.

Safeguarding public facilities: a study on enhancing safety in mosque amenities through slip-resistance and surface innovations

PurposeThis study critically examines the safety aspects of ablution spaces in United Arab Emirates (UAE) mosques, emphasising the evaluation of smooth ceramic tile floorings prone to water accumulation. As an integral practice in Islamic worship, ablution spaces cater to a diverse demographic, making their safety a paramount concern. This study aims to meticulously assess slip-resistance properties and surface characteristics to provide practical recommendations for enhanced safety measures.Design/methodology/approachThe investigation involves in situ measurements of traction properties and an extensive analysis of surface features in thirty mosques across the UAE. This comprehensive approach allows for identifying the unique challenges posed by ceramic tile floorings in ablution spaces. The study uses a portable tribometer for dynamic friction coefficient measurements, ensuring accurate slip-resistance evaluations. Surface texture analysis uses a portable profilometer to quantify roughness parameters.FindingsThe study’s findings significantly advance the comprehension of safety considerations in ablution spaces. Through empirical evidence and evidence-based insights, the research identifies immediate safety concerns and provides practical recommendations to create secure and inclusive environments within mosques. The emphasis lies on safeguarding the well-being of worshippers and contributing to the broader goal of safety in religious spaces.Originality/valueThe original contribution of this study lies in its dual focus on immediate safety concerns and the deeper understanding of unique safety challenges within ablution spaces. By offering evidence-based insights and practical recommendations, the research strives to make meaningful contributions to creating secure and inclusive environments within mosques.

Psychological factors enhanced heterogeneous learning interactive graph knowledge tracing for understanding the learning process.

With the rapid expansion of online education, there is a burgeoning interest within the EdTech space to offer tailored learning experiences that cater to individual student's abilities and needs. Within this framework, knowledge tracing tasks have garnered considerable attention. The primary objective of knowledge tracing is to develop a model that assesses a student's proficiency in a particular skill based on their historical performance in exercises, enabling predictions regarding the likelihood of correct responses in future exercises. While existing knowledge tracing models often incorporate information such as students' exercise answering history and skill mastery level, they frequently overlook the students' mental states during the learning process. This paper addresses this gap by introducing a novel psychological factors-enhanced heterogeneous learning interactive graph knowledge tracing model (Psy-KT). This model delineates the interactions among students, exercises, and skills through a heterogeneous graph, supplementing it with four psychological factors that capture students' mental states during the learning process: frustration level, confusion level, concentration level, and boredom level. In the modeling of students' learning processes, we incorporate the forgetting curve and construct relevant cognitive parameters from the features. Additionally, we employ the Item Response Theory (IRT) model to predict students' performance in answering exercises at the subsequent time step. This model not only delves into the psychological aspects of students during the learning process but also integrates the simulation of forgetting, a natural phenomenon in the learning journey. The inclusion of cognitive parameters enhances the description of changes in students' abilities throughout the learning process. This dual focus allows for a more comprehensive understanding of students' learning behaviors while providing a high level of interpretability for the model. Empirical validation of the Psy-KT model is conducted using four publicly available datasets, demonstrating its superior performance in predicting students' future performance. Through rigorous experimentation, the integration of psychological and forgetting factors in the Psy-KT model not only improves predictive accuracy but also enables educators to offer more targeted tutoring and advice, enhancing the overall efficacy of the learning experience.

Three-echelon circular economic production–inventory model for deteriorating items with imperfect quality and carbon emissions considerations under various emissions policies

Traditional production systems have a sole focus of maximising economic outcomes but due to the world’s ever-growing awareness about environmental issues, circular production systems, with a dual focus of maximising economic output and minimising environmental impact, have become prevalent in recent years. These types of production systems incorporate circular economy initiatives in their operational processes with the aim of reducing their carbon footprints. However, this is a voluntary measure to reduce carbon footprints and for this reason, various governments have introduced regulatory measures to involuntarily reduce carbon footprints of production systems. These regulatory measures include carbon tax, cap, cap-and-trade and cap-and-offset policies that are designed to reduce carbon emissions from production processes. With this in mind, this paper proposes an integrated sustainable production–inventory model for a three-echelon supply chain for imperfect quality deteriorating items with a circular economy indicator under various carbon emissions regulations. Using four different combinations of functions for both the demand rate and unit gross profit and four different carbon emissions regulations, 16 variants of the model are solved and analysed using heuristic algorithms. The model variants are not only aimed at optimising inventory replenishment decisions but also the circularity economy indicator of the deteriorating inventory. Of the 16 variants, the highest profit is achieved for the logistic demand and linear profit functions combination under cap-and-offset, despite a circularity indicator of 81.75%. The results also show that carbon emissions policies are effective at reducing the supply chain’s carbon footprint, albeit with a slight impact on the profit.

Implementing narrow banding imaging with dual focus magnification for histological prediction of small rectosigmoid polyps in Vietnamese setting.

Small rectosigmoid colorectal polyps (<10 mm) are prevalent, with a low prevalence of advanced neoplastic lesions. The "diagnose-and-leave" strategy, employing narrow band imaging (NBI), is gaining popularity for its safety and cost-effectiveness by reducing polypectomy complications and minimizing histopathology expenses. This study assessed the diagnostic efficacy of NBI with dual focus (DF) magnification for real-time neoplastic prediction of rectosigmoid polyps and explored the feasibility of implementing this strategy in Vietnam. In a prospective single-center study, 307 rectosigmoid polyps from 245 patients were analyzed using three consecutive endoscopic modes: white light endoscopy (WLE), NBI, and NBI-DF. Endoscopists assessed polyps for size, location, macroscopic shape,optical diagnosis, and confidence levels before histopathological evaluation. High confidence was assigned when the polyp exhibited all features of a single histology type. Predictions were compared with final histopathology results. Of the total, 237 (77.2%) were diminutive (≤5 mm) polyps, and 18 (5.8%) were advanced neoplastic lesions. WLE + NBI and WLE + NBI + NBI-DF exhibited significantly higher accuracy compared to WLE (88.6% and 90.2% vs 74.2%, P < 0.01). For diminutive polyps, the DF mode significantly increased the rate of high-confidence optical diagnoses (89.1% vs 94.9%, P < 0.001). WLE + NBI + NBI-DF demonstrated high sensitivity (90.1%), specificity (95.5%), and negative predictive value (93.4%) in high-confidence predictions, enabling the implementation of the "diagnose-and-leave" strategy. This approach would have reduced 58.2% of unnecessary polypectomies without missing any advanced neoplastic lesions. NBI and DF modes provide accurate neoplastic predictions for rectosigmoid polyps. For diminutive polyps, DF magnification improves the confidence level of the optical diagnosis, allowing the safe implementation of the "diagnose-and-leave" strategy.

A review of SaiLuoTong (MLC-SLT) development in vascular cognitive impairment and dementia.

The dementia epidemic, attributed to aging populations, represents a growing socio-economic burden. It is estimated that in 2019 about 55 million people worldwide were living with dementia. With many possible causes of dementia and the possibility of mixed dementia combining Alzheimer's disease (AD) and vascular dementia the question is whether diagnostic uncertainty exists or whether diagnostic constructs based on single etiologies are incorrect. Vascular Cognitive Impairment and Dementia (VCID) designates the extent of cognitive dysfunctions from the most benign state to that of dementia, of vascular origin. We reviewed epidemiological, pathophysiological and clinical data on VCID with a focus on VaD, as well as key data on the development of a new therapeutic solution, SaiLuoTong (MLC-SLT). From documentary research executed on different web sources (PubMed, Clintrials.gov, Z-library and Google), our initial selection for the short review of VCID and VaD was based on keywords contained in each paragraph subtitles of this article with exclusion of publications in a language other than English or published before 2010. For the review of SaiLuoTong development, there was just the language exclusion criterion. Sorted by relevance and publication date, 47 references were selected from 140 shortlisted for review. With new evidence-based classification systems, vascular cognitive impairment was proposed as umbrella term covering all forms of cognitive deficits related to vascular causes. The scope of application expanded with the VCID which includes VaD and mixed pathologies. No drugs are approved for the treatment of VaD by major Western regulatory agencies, while some traditional Chinese medicines are registered in China. VCID treatment should have a dual focus: managing the underlying cerebrovascular disease and dementia symptoms. This is the objective set for the development of the MLC-SLT, the essential data of which are reviewed in detail. To strengthen VCID and VaD research, consensus groups should attempt to consolidate scattered local research initiatives into coordinated international programs. In two VaD clinical trials, MLC-SLT improved cognitive symptoms and activities of daily living, with good safety and potential disease-modifying effect. In a placebo-controlled study in 325 patients with mild to moderate VaD and randomized according to a delayed-start design, MLC-SLT demonstrated significant improvement in memory tests and performance in executive function tasks, expanding its place in the management of VCID. At week 26, changes in VADAS-cog scores (SD) from baseline were 23.25 (0.45) for MLC-SLT 180mg bid), 23.05 (0.45) for MLC-SLT 120mg bid (both p < 0.0001), and 20.57 (0.45) for placebo (p = 0.15). At week 52, differences between both groups MLC-SLT and placebo were 2.67 and 2.48, respectively (p < 0.0001), without significant difference between MLC-SLT groups.

Unveiling the benefits of reflective learning in professional legal practice

ABSTRACT This paper delves into the transformative power of reflection in a postgraduate course focused on professional legal practice. With a dual focus on the learning and professional aspects of reflection, this paper sheds light on the advantages of incorporating reflective practices within legal education. Specifically, it explores the use of reflective writing for assessment purposes at King's College London and examines the broader application of reflection within the MSc Law and Professional Practice course. Drawing on practical experiences and insights gained from the implementation of reflection, the paper offers valuable lessons and recommendations for educators seeking to leverage reflective learning in legal education.

A Comparative Review of Models for All-Solid-State Li-Ion Batteries

In recent times, there has been significant enthusiasm for the development of all-solid-state Li-ion batteries. This interest stems from a dual focus on safety—addressing concerns related to toxic and flammable organic liquid electrolytes—and the pursuit of high energy density. While liquid electrolyte batteries currently constitute the vast majority of commercial cells, solid electrolyte batteries show great promise. In parallel with experimental research, computational models clarify several fundamental physics that take place throughout battery operations. Giving up on reviewing a broad screening of the existing literature, we set out to select here a few highly relevant models, emphasizing some fundamental conceptual advancements and offering an in-depth and critical insight into the current state of the art. The papers we selected aim at providing the reader with a tangible and quantitative understanding of how all-solid-state Li-ion batteries operate, including the different mechanisms at play and the mathematical tools required to model the pertinent physics and mechanics.

Global research trends in Total Body Irradiation: a bibliometric analysis.

This manuscript presents a bibliometric and visualization analysis of Total Body Irradiation (TBI) research, aiming to elucidate trends, gaps, and future directions in the field. This study aims to provide a comprehensive overview of the global research landscape of TBI, highlighting its key contributions, evolving trends, and potential areas for future exploration. The data for this study were extracted from the Web of Science Core Collection (WoSCC), encompassing articles published up to May 2023. The analysis included original studies, abstracts, and review articles focusing on TBI-related research. Bibliometric indicators such as total publications (TP), total citations (TC), and citations per publication (C/P) were utilized to assess the research output and impact. Visualization tools such as VOS Viewer were employed for thematic mapping and to illustrate international collaboration networks. The analysis revealed a substantial body of literature, with 7,315 articles published by 2,650 institutions involving, 13,979 authors. Full-length articles were predominant, highlighting their central role in the dissemination of TBI research. The authorship pattern indicated a diverse range of scholarly influences, with both established and emerging researchers contributing significantly. The USA led in global contributions, with significant international collaborations observed. Recent research trends have focused on refining TBI treatment techniques, investigating long-term patient effects, and advancing dosimetry and biomarker studies for radiation exposure assessments. TBI research exhibits a dynamic and multifaceted landscape, driven by global collaboration and innovation. It highlights the clinical challenges of TBI, such as its adverse effects and the need for tailored treatments in pediatric cases. Crucially, the study also acknowledges the fundamental science underpinning TBI, including its effects on inflammatory and apoptotic pathways, DNA damage, and the varied sensitivity of cells and tissues. This dual focus enhances our understanding of TBI, guiding future research toward innovative solutions and comprehensive care.

Detection Rate of Helicobacter Pylori Infection and Atrophic Gastritis Using Serological Markers “GastroPanel®” Among Employees of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation

Aim: to evaluate, using the “GastroPanel®”, the frequency of detection of H. pylori infection and associated gastric diseases among doctors and medical staff of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Moscow.Materials and methods. Employees of three branches of the National Medical Research Radiological Centre (n = 434, mean age — 48.5 ± 0.6 years) were examined using laboratory tests “GastroPanel®” (Biohit Oyj, Finland). The test results make it possible to identify infection of the stomach with H. pylori, hypo- and hyperacid conditions, as well as atrophic gastritis of the antrum and body of the stomach, as its precancerous conditions. Esophagogastroduodenoscopy (EGDS) for suspected atrophic gastritis was performed with an Olympus GIF-HQ190 video endoscope (Japan) in a narrow-spectrum mode with close focus (NBI Dual Focus).Results. The absence of pathological signs detected by “GastroPanel®” was established in 23.3 % of cases, hyperacid state — in 18.4 %, and hypoacid state — in 5.2 %. These disorders are classified as functional. Consequently, the conditional norm in total was identified in 46.9 % of observations. An increased level of antibodies to H. pylori was found in 43.3 % of those examined. Atrophic gastritis in the body of the stomach according to the results of the “GastroPanel®” was detected in 4.8 % of cases (median age — 59 years), in the antrum (or increased secretion of hydrochloric acid) — also in 4.8 % of cases (median age — 52 years). Within two months after laboratory diagnostics, EGDS was performed for 10 out of 15 patients examined at the P. Hertsen Moscow Oncology Research Institute in whom, based on the results of the “GastroPanel®”, the presence of atrophic gastritis in the antrum (or increased secretion of hydrochloric acid) was suspected. In 6 out of 10 cases, atrophic gastritis of the antrum was confirmed (in two of them, the atrophy extended to the body of the stomach and was assessed as severe). Of the 11 people with the “GastroPanel®” conclusion “Atrophic gastritis of the body of the stomach,” an endoscopic examination was carried out in 7 persons, and in all these cases the diagnosis was confirmed, and in two people the conclusion was made of severe atrophic pangastritis.Conclusion. “GastroPanel®” confirmed its high significance in identifying H. pylori infection and precancerous atrophic changes in the gastric mucosa. Regarding the occupational risks of infection among medical workers, we consider it advisable to conduct such screening without selecting an asymptomatic population.

Co-design of distributed dynamic event-triggered scheme and extended dissipative consensus control for singular Markov jumping multi-agent systems under periodic Denial-of-Service jamming attacks

This paper introduces a distributed dynamic event-triggered (DDET) controller meticulously crafted to achieve resilient consensus control in singular Markov jumping multi-agent systems (SMJMAs) even in the face of periodic Denial-of-Service (DoS) jamming attacks. With a dual focus on optimizing network resource utilization and fortifying against cyber threats, we propose a distributed dynamic event-triggered scheme (DDETS) grounded in the principles of sampled data consensus. In the presence of cyber attacks, we demonstrate the transformation of the original consensus control challenge within the singular multi-agent system into a robust stability control problem, centering around a singular switching error system governed by the DoS attack signal. Acknowledging the disturbances that typify real-world scenarios, this paper establishes criteria for attaining exponential stability and stochastic admissibility within the singular Markov jumping switching error system under the extended dissipative performance index. Furthermore, we present a hybrid design for the consensus controller and DDETS, delineated through a set of solvable linear matrix inequalities (LMIs). Finally, a comprehensive array of numerical examples meticulously illustrates the compelling effectiveness and unequivocal superiority of our proposed methodology.

Discourse of Foreign Digital Media: Analysis of the 2023 Turkish Presidential Election Coverage

This study examines the complex dynamics of communication in the changing field of journalism influenced by the use of media. It specifically focuses on how thoughts and perceptions are expressed in this evolving landscape. Information and communication technologies significantly influence journalism by rapidly disseminating news, updates, and societal impacts. Utilizing critical discourse analysis, the study aims to reveal systematic language usages and uncover latent meanings beyond news texts. Focused on the 2023 Turkish Presidential Election, news texts from four prominent international newslets Al Jazeera, BBC, CNN, and Euronews are analyzed. The comprehensive analysis of international media coverage investigates the interplay of linguistic and thematic choices in shaping narratives. With a dual focus on macro and micro levels of discourse, the study uncovers diverse approaches among foreign media outlets. Each outlet adopts a distinctive thematic approach at the macro level, emphasizing key figures and sociopolitical contexts. Al Jazeera spotlights competition, BBC underscores post-election polarization, CNN focuses on Erdogan's victory, and Euronews provides insights into national challenges. Visual elements, like photographs, contribute significantly to framing events, offering nuanced political messaging. Micro-level analysis explores linguistic choices, syntax, and rhetoric, emphasizing the active voice to underscore leaders' agency. Deliberate use of the passive voice in presenting election results maintains a neutral tone. The way sentences are structured and the cause-and-effect connections help readers understand political developments by providing context. The study underscores the importance of media literacy in decoding political event representations, emphasizing the multifaceted complexities of media discourse.

Impact of aleatory and epistemic uncertainties on thermal risk and production assessment: Application to the hydrogenation of levulinic acid and butyl levulinate

The hydrogenation of levulinates, derivatives from cellulose hydrolysis, leads to the platform molecule γ-valerolactone (GVL). While prior investigations indicate the propensity for thermal runaways in this reaction, a comprehensive sensitivity analysis has been conspicuously absent in the existing literature. This study endeavors to scrutinize the influence of input parameters on both thermal risks and the production rate during GVL synthesis. Distinguished by its dual focus on sensitivity analyses, this manuscript also contrasts the implications of aleatory and epistemic uncertainties on thermal risk and production metrics. Aleatory uncertainties arise from the inherent variability of initial conditions, while epistemic uncertainties emanate from incomplete knowledge of the kinetic model. Employing Sobol global sensitivity analysis on the kinetic model, we delineate the hierarchical importance of various parameters. This analysis incorporates a quantification of uncertainty, and algorithmic approaches are proffered. The findings reveal that the initial temperature, the initial mass of the Ru/C catalyst, and hydrogen pressure are pivotal factors that are directly proportional to thermal risk and production efficiency. The implications of uncertainty on these variables are also discussed.