Contemporary Landscape Research Articles

Imaging Findings in Acute Traumatic Brain Injury: a National Institute of Neurological Disorders and Stroke Common Data Element-Based Pictorial Review and Analysis of Over 4000 Admission Brain Computed Tomography Scans from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Study.

In 2010, the National Institute of Neurological Disorders and Stroke (NINDS) created a set of common data elements (CDEs) to help standardize the assessment and reporting of imaging findings in traumatic brain injury (TBI). However, as opposed to other standardized radiology reporting systems, a visual overview and data to support the proposed standardized lexicon are lacking. We used over 4000 admission computed tomography (CT) scans of patients with TBI from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study to develop an extensive pictorial overview of the NINDS TBI CDEs, with visual examples and background information on individual pathoanatomical lesion types, up to the level of supplemental and emerging information (e.g., location and estimated volumes). We documented the frequency of lesion occurrence, aiming to quantify the relative importance of different CDEs for characterizing TBI, and performed a critical appraisal of our experience with the intent to inform updating of the CDEs. In addition, we investigated the co-occurrence and clustering of lesion types and the distribution of six CT classification systems. The median age of the 4087 patients in our dataset was 50 years (interquartile range, 29-66; range, 0-96), including 238 patients under 18 years old (5.8%). Traumatic subarachnoid hemorrhage (45.3%), skull fractures (37.4%), contusions (31.3%), and acute subdural hematoma (28.9%) were the most frequently occurring CT findings in acute TBI. The ranking of these lesions was the same in patients with mild TBI (baseline Glasgow Coma Scale [GCS] score 13-15) compared with those with moderate-severe TBI (baseline GCS score 3-12), but the frequency of occurrence was up to three times higher in moderate-severe TBI. In most TBI patients with CT abnormalities, there was co-occurrence and clustering of different lesion types, with significant differences between mild and moderate-severe TBI patients. More specifically, lesion patterns were more complex in moderate-severe TBI patients, with more co-existing lesions and more frequent signs of mass effect. These patients also had higher and more heterogeneous CT score distributions, associated with worse predicted outcomes. The critical appraisal of the NINDS CDEs was highly positive, but revealed that full assessment can be time consuming, that some CDEs had very low frequencies, and identified a few redundancies and ambiguity in some definitions. Whilst primarily developed for research, implementation of CDE templates for use in clinical practice is advocated, but this will require development of an abbreviated version. In conclusion, with this study, we provide an educational resource for clinicians and researchers to help assess, characterize, and report the vast and complex spectrum of imaging findings in patients with TBI. Our data provides a comprehensive overview of the contemporary landscape of TBI imaging pathology in Europe, and the findings can serve as empirical evidence for updating the current NINDS radiologic CDEs to version 3.0.

The history of natural resources management among the Luo society of Western Kenya: Socio-ecological parameters of landscape heterogeneity

In this study, we thoroughly explore the complexities of land resource management in Western Kenya's Nyanza Province, focusing on the evolution of land use patterns in Kajulu location, which was formerly a native reserve. Spanning pre-colonial, colonial, and post-colonial eras, our investigation aims to decipher the deep-seated impact of historical events on territorial dynamics. Employing a holistic diachronic approach, we integrate historical data with contemporary landscape metrics analysis to provide a nuanced comprehension of land management transitions. Utilizing diverse research methods such as individual and collective surveys, along with transect walks, we meticulously unravel the intricate fabric of land acquisition patterns and resource management strategies employed by the Luo people of Kajulu. Our findings reveal a compelling narrative of adaptation and transformation. Constrained by land scarcity and intensified resource competition, the Luo community in Kajulu ingeniously reshaped their traditional land organization. Transitioning from the transmission of entire exploitations to a process of repeated subdivision, they devised a complex, non-linear progression of land use patterns. To ensure food security and resource preservation, they adopted a system of land intensification grounded in production diversification, echoing Boserup's theory of agricultural intensification in response to population pressure. This culminated in a landscape characterized by remarkable heterogeneity, reflecting the aggregation of cultivated spaces over time and resonating with Malthusian concerns about population growth and resource constraints. Through our research, we underscore the profound interplay between historical legacies, adaptive strategies, and landscape heterogeneity, providing invaluable insights into the dynamic relationship between human societies and their natural environments.

An Integrative Review of Portfolio Management

This paper delves into the evolution of portfolio theories, tracing their development from the seminal work of Markowitz's traditional portfolio theory to the contemporary landscape of modern portfolio management. Emphasizing the relevance for real-world investors, the study scrutinizes the advantages, applications, and limitations of these investment theories. The exploration commences with a comprehensive analysis of return, risk, and various factors integral to portfolio theory. Leveraging qualitative analysis and real-world examples, the paper elucidates the mathematical model underpinning the theory, furnishing investors with a structured investment strategy. The focal points of the paper are the VaR (Value at Risk) model and the beta coefficient. Through an in-depth examination of their mathematical foundations and theoretical underpinnings, the research elucidates the symbiotic relationship between their economic significance and mathematical intricacies. Furthermore, the paper expounds on their collective contribution to the overarching portfolio theory, shedding light on their role as guiding principles for risk-averse investors. By weaving together theoretical frameworks and practical implications, this paper seeks to provide a nuanced understanding of portfolio theories, equipping investors with valuable insights for informed decision-making in the dynamic landscape of financial markets.

Observation or Insight? Unraveling the Impact of Characters' Image on Interpersonal Communication in Contemporary Chinese TV Series

A salient determinant of effective interpersonal communication resides in the cultivation of a positive personal image. The intricate interplay between self-image, individual behaviors, and communication abilities highlights the far-reaching influence of personal perception on social interactions. In the contemporary landscape of Chinese television series, exemplified by the production ‘Nothing but Thirty’, a deliberate effort is made to depict characters that embody the evolving roles of women in modern society. Drawing from relevant literature, this study conducts a comprehensive analysis of characters’ image in ‘Nothing but Thirty’, examining content such as appearance, language, non-verbal cues (body language), and varied scene settings. Adopting a rigorous qualitative case study methodology and leveraging content analysis grounded in the coordinated management of meaning theory and social exchange theory, the research aims to dissect the nuanced dynamics of interpersonal communication as portrayed in the series. The findings illuminate that the dynamic characterizations in contemporary Chinese TV series function as reflective mirrors, capturing the intricate layers of modern interpersonal communication and societal intricacies. This narrative analysis extends beyond the purview of conventional storytelling, offering a scholarly exploration of the intricate fabric of human interaction.

A review of machine learning-based methods for predicting drug-target interactions.

The prediction of drug-target interactions (DTI) is a crucial preliminary stage in drug discovery and development, given the substantial risk of failure and the prolonged validation period associated with in vitro and in vivo experiments. In the contemporary landscape, various machine learning-based methods have emerged as indispensable tools for DTI prediction. This paper begins by placing emphasis on the data representation employed by these methods, delineating five representations for drugs and four for proteins. The methods are then categorized into traditional machine learning-based approaches and deep learning-based ones, with a discussion of representative approaches in each category and the introduction of a novel taxonomy for deep neural network models in DTI prediction. Additionally, we present a synthesis of commonly used datasets and evaluation metrics to facilitate practical implementation. In conclusion, we address current challenges and outline potential future directions in this research field.

A Comparison of Parenting Strategies in a Digital Environment: A Systematic Literature Review

In the modern digital landscape, parental involvement in shaping children’s internet usage has gained unprecedented importance. This research delves into the evolving trends of parental mediation concerning children’s internet activities. As the digital realm increasingly influences young lives, the role of parents in guiding and safeguarding their children’s online experiences becomes crucial. The study addresses key research questions to explore the strategies parents adopt, the content they restrict, the rules they establish, the potential exposure to inappropriate content, and the impact of parents’ computer literacy on their children’s internet safety. Additionally, the research includes a thematic question that broadens the analysis by incorporating insights from studies not directly answering the primary questions but contributing valuable context and understanding to the digital parenting arena. Building on this, the findings from a systematic literature review, conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, highlight a shift towards more proactive parental involvement. Incorporating 49 studies from 11 databases, these findings reveal the current trends and methodologies in parental mediation. Active mediation strategies, which involve positive interactions and discussions about online content, are gaining recognition alongside the prevalent restrictive mediation approaches. Parents are proactively forbidding specific internet content, emphasizing safety and privacy concerns. Moreover, the emergence of parents’ computer literacy as a significant factor influencing their children’s online safety underlines the importance of digital proficiency. By shedding light on the contemporary landscape of parental mediation, this study contributes to a deeper understanding of how parents navigate their children’s internet experiences and the challenges they face in ensuring responsible and secure online engagement. The implications of these findings offer valuable insights for both practitioners and researchers, emphasizing the need for active parental involvement and the importance of enhancing parents’ digital proficiency. Despite limitations due to the language and methodological heterogeneity among the included studies, this research paves the way for future investigations into digital parenting practices.

Attitudes and Motivations Towards Implantation of Intention Towards Exercise among Entrepreneurs: A Brain Freshness Activity

In the contemporary landscape, developing individuals' attitudes, motivations, and intentions toward exercise and physical activities emerges as an imperative cornerstone for fostering a healthy and thriving lifestyle. The present study examines the effect of the theory of the planned behavior (TPB) constructs on exercise motivation (MT) and intention towards exercise (ITWE) among Egyptian entrepreneurs. The study employed a quantitative approach and collected cross-sectional responses from entrepreneurs through a survey questionnaire. The study utilized 305 valid samples to conclude the findings. Using PLS-SEM, the study found a positive significant effect of attitude (β = 0.782; p < 0.01) and subjective norms (SN) on MT (H2 = β = 0.268; p < 0.01). The effect of perceived behavioural control (PBC) is negative on MT (β = -0.025; p > 0.01). Besides, the MT factor positively and significantly impacted ITWE (β = 0.906; p < 0.01). Concerning mediating effects, the MT mediates the relationship between attitude (β = 0.709; p < 0.01) and SN (β = 0.243; p < 0.01), except for PBC (β = -0.023; p > 0.01). The study's outcomes carry significant implications for policymakers and health practitioners, providing them with a robust foundation for prioritizing MT and ITWE as pivotal components in enhancing the overall well-being of individuals, particularly within the entrepreneurial community. By doing so, policymakers and health practitioners can contribute to creating a healthier and more resilient society, aligning with the broader goal of public health improvement.

Efficient removal of the organophosphate pesticide, profenofos using polymer-stabilized microporous Fe2O3-ZnO nanocomposite: Kinetic and thermodynamic analysis

In the contemporary landscape of scientific research, the development of inhibitors for acetylcholinesterase (AChE) holds significance due to their dual application as chemical warfare agents (CWAs) and pesticides. These compounds, whether intentionally deployed for malicious purposes, used in agriculture to combat pests, or accidentally released, pose a substantial threat to humanity. Consequently, there is a dire need to create efficient nanocatalysts capable of eliminating organophosphate toxic substances. This study focuses on the synthesis of a nanocomposite catalyst comprised of polymer-stabilized Fe2O3-ZnO, characterized as porous oval-shaped clusters that exhibit exceptional proficiency in the degradation of the pesticide profenofos (PF). This degradation process is remarkably swift, occurring within a short timeframe under both dark and light conditions. Porosity enhancement was achieved through the combination of polymeric stabilizing agents, namely polyvinylpyrrolidone (PVP) and methyl cellulose (MC). Notably, the highest concentration of profenofos (1825 mg/L) was directly introduced to the Fe2O3-ZnO nanocomposite catalyst. Remarkably, 100 % degradation was achieved within just 60 min in the absence of light, highlighting the feasibility of dark treatment as an effective degradation pathway. The kinetics of the reaction were evaluated using Lagergren pseudo-first order and Ho/McKay pseudo-second order kinetic models, employing varying catalyst doses and profenofos concentrations. The results indicated that the reaction predominantly follows second-order kinetics. Furthermore, thermodynamic parameters, including the change in Gibbs free energy (ΔG), entropy (ΔS), and enthalpy (ΔH), were assessed, revealing the spontaneous and exothermic nature of the reaction. Additionally, a proposed degradation pathway for the chemical warfare agent stimulant, profenofos, was elucidated. To our knowledge, this is the inaugural documentation showcasing the remarkable efficiency of a polymer-stabilized Fe2O3-ZnO nanocomposite catalyst in degrading the organophosphate pesticide, profenofos, achieving rapid degradation rates even under dark conditions. The findings contribute to the advancement of catalytic materials for environmental remediation and provide important insights into the kinetics, thermodynamics, and degradation pathways of organophosphate compounds.

Travel Intelligence: Enhancing Counterterrorism and National Security

In the contemporary landscape of global security challenges, addressing the intricate dynamics of Counterterrorism and National Security is paramount. This paper emphasizes the pivotal role of Travel Intelligence (TRAVINT) in enhancing Counterterrorism (CT) strategy and improving security measures. Eventually, through a comparative analysis between theoretical frameworks and practical applications, supplemented by case studies of Hezbollah and Hamas, the study examines the significance of TRAVINT, in proactively identifying and preventing potential Terrorism and National Security

Philosophical practice and its development in China: opportunities and challenges

This paper examines the application and evolution of philosophical practice in China, which employs philosophical principles and methods to facilitate insights and address life’s complexities. We aim to bridge the knowledge gap regarding the trajectory and contemporary landscape of China’s philosophical practice and its impact on individual and societal flourishing. Guided by the research question, “How has philosophical practice evolved in China, and what are its challenges and future prospects?” this study adopts a qualitative research methodology, including a literature review, historical analysis, and case studies from Chinese philosophical communities. Findings indicate a burgeoning growth of philosophical practice in China, with traditional Chinese philosophies being adapted to provide practical guidance for contemporary issues. The spread of philosophical practice communities across China reflects a growing embrace of these practices. This paper outlines the hurdles and prospects for philosophical practice, pinpointing opportunities for further research and cross-cultural engagement. The insights furnished by this study offer a framework for scholars, practitioners, and policymakers to enhance philosophical practice’s role in personal growth and societal well-being, both within China and internationally.

Fintech, natural resources management, green energy transition, and ecological footprint: Empirical insights from EU countries

The advent of the Fourth Industrial Revolution has brought forth a significant array of technological advancements. In the contemporary landscape, the financial sector is a notable beneficiary of advancements in technology. However, there exists a pervasive perception of technology as a double-edged sword for the environment. In this context, this study aims to examine the interplay of financial technologies (FinTech), abundance of natural resources, and economic globalization in shaping the trajectory of green energy transition and ecological footprint (EF) in 25 European Union (EU) nations from 1990 to 2020. Moreover, this study investigates the indirect impact of FinTech on EF through the channel of green energy transition. The results indicate that FinTech, economic globalization, and urbanization significantly promote green energy transition, while economic growth negatively impacts green energy transition across these countries. The results further indicate that FinTech significantly curtails EF, while economic globalization, economic growth, and urbanization exacerbate EF. Moreover, the results uncover that FinTech also indirectly hampers EF by facilitating green energy transition. Finally, based on these results, the study suggests practical implications for policymakers in crafting energy transition policies and reducing EF to attain the objectives outlined in the Sustainable Development Goals (SDGs).

Variational Neural Network Optimized with Lyrebird Optimization Algorithm for Analysis and Empirical Evidence of Using Data Mining in Financial Risk Prevention Research

In the contemporary landscape of global finance, the effective prevention and mitigation of financial risks have become pivotal for the stability, resilience, and sustainable growth of financial institutions and markets. As financial instruments and markets continue to evolve in complexity, the need for a thorough analysis of risk prevention strategies has become increasingly apparent. In this manuscript, Variational Neural Network (VNN) optimized with lyrebird optimization algorithm (VNN-LOA) is proposed. Initially data is taken from machinehack-financial risk prediction. Afterward the data is fed to Adaptive Variational Bayesian Filter (VBF) based pre-processing process. The pre-processing output is provided to the Variational Neural Network (VNN) to effectively classify financial risk prevention as either involving risk or no risk. The learnable parameters of the VNN are optimized using lyrebird optimization algorithm (LOA). The proposed method is implemented in MATLAB and the efficiency of the proposed method DM-FRP-VNN-COA is estimated with the help of several performances evaluating metrics like, accuracy, precision, recall, f1-score, sensitivity, specificity, computational time, and ROC are analyzed. The proposed DM-FRP-VNN-LOA method attains 38.88%, 35.75%, and 33.16% higher accuracy for risk classification; 34.31%, 38.47% and 37.23% higher accuracy for no risk classification; 22.63%, 33.27% and 21.49% high precision for risk classification; 22.63%, 33.27% and 21.49% high precision for no risk; 35.136%, 39.04% and 38.81% lower computation Time compared with the existing method like data mining using financial risk prevention based back propagation neural network (DM-FRP-BPNN), data mining using financial risk prevention based machine learning (DM-FRP-ML), and data mining using financial risk prevention based convolutional neural network (DM-FRP-CNN) respectively.

A big little fiction form: last decade of production and circulation of made-for-TV movies in Europe

ABSTRACT Made-for-television movies, originating as popular television forms in the 1960s, have historically received scant scholarly attention and faced persistent devaluation within the film industry. However, the contemporary landscape witnesses a resurgence in interest, catalyzed by the focus of VOD services on long-form fiction tailored for streaming, commonly referred to as “originals.” This paper conducts a retrospective examination of the past decade, scrutinizing the presence of made-for-television movies within general television and accentuating their intrinsic value by investigating intra-European circulation flows. Through comprehensive content analysis of general-interest channel schedules in five prominent European countries, this study explores the nuances of production, circulation dynamics, and the influence of public corporations in this scenario. The findings reveal distinctive circulation patterns characterized by continual European exchanges, setting made-for-TV movies apart from TV series, particularly on public channels. Notably, a select cluster of large European countries emerges as pivotal players dominating these intra-European flows.

LIBRARY REQUIREMENT OF THE TIME AND THE BASIS OF A GREAT FUTURE

The article explores the complex relationship between reading, science, and culture in the contemporary landscape. Along with the crucial role of these two pillars in modern development, the article explores their impact on technology, health, education, environmental sustainability and social cohesion. The article examines the challenges and opportunities inherent in the dynamic interaction of science and culture, from innovation to the promotion of social inclusion. Through an interdisciplinary lens, it emphasizes the need for collaborative efforts, ethical considerations, and the integration of diverse perspectives to shapea sustainable, inclusive future.

FACILITATING ENGLISH LANGUAGE ACQUISITION PROCESS THROUGH TECHNOLOGY CLUBS

English language acquisition can be significantly enhanced through technology clubs, offering learners a relaxed environment distinct from traditional classrooms. These clubs facilitate subconscious language acquisition, promoting immersion and natural communication. By embracing technology, learners access a wealth of resources independently, expanding vocabulary and usage while encouraging informal interaction. Technology clubs foster active engagement, allowing learners to express themselves freely. This paper examines the role of technology clubs in supporting language acquisition processes. In the contemporary landscape, technology is paramount in language acquisition, with clubs providing dynamic platforms for immersive English language engagement. Leveraging multimedia resources like videos and podcasts, learners hone listening and comprehension skills, tailored to individual preferences. Interactive platforms within these clubs offer engaging activities, from language games to virtual conversations, fostering collaboration and a supportive learning community. Mobile applications further enhance learning accessibility, enabling practice anytime, anywhere. Technology clubs curate immersive environments, where learners engage in authentic communication through virtual simulations and online communities. Peer collaboration is encouraged through forums and projects, facilitating shared learning experiences. In conclusion, technology clubs offer a versatile and engaging approach to language acquisition, empowering learners with diverse opportunities to develop proficiency. Through multimedia resources, interactive platforms, and peer collaboration, technology clubs facilitate effective language learning.

Navigating the Data Stream: The Intersection of Digital Politics and Indonesian Foreign Policy in the Era of Big Data

In the contemporary landscape of international relations, the fusion of digital politics and big data analytics has emerged as a pivotal force reshaping diplomatic strategies and national foreign policy. This paper delves into the intricate interplay between digital politics and Indonesian foreign policy within the expansive realm of big data. Indonesia is a dynamic archipelago boasting a burgeoning digital ecosystem that serves as an illuminating case study to unravel the multifaceted dynamics of this intersection. In this era of information overload (Wood et al., 1998), big data analytics revolutionized the traditional diplomacy paradigm, offering unprecedented insight into global trends, public sentiment, and policy preferences. Traditionally grounded in diplomatic norms and statecraft, Indonesian foreign policy is now navigating the data stream, leveraging digital technologies to enhance strategic decision-making. The convergence of digital politics and big data has democratized access to information and posed novel challenges, including privacy, misinformation, and algorithmic biases (Boyd, 2008). Against this backdrop, Indonesian policymakers are tasked with crafting nuanced approaches to harness the potential of big data while safeguarding national interest and democratic values. Through a comprehensive analysis of Internet research methods through case studies, policy initiatives, and theoretical frameworks, this paper illuminates the transformative potential of big data in shaping the contours of Indonesian foreign policy. By exploring the synergies between digital politics and diplomatic endeavors, this study contributes to a deeper understanding of the evolving landscape of international relations in the digital age.

Mapping of repeat-associated non-AUG (RAN) translation knowledge: A bibliometric analysis

Over 50 genetic human disorders are attributed to the irregular expansion of microsatellites. These expanded microsatellite sequences can experience bidirectional transcription, leading to new reading frames. Beyond the standard AUG initiation or adjacent start codons, they are translated into proteins characterized by disease-causing amino acid repeats through repeat-associated non-AUG translation. Despite its significance, there's a discernible gap in comprehensive and objective articles on RAN translation. This study endeavors to evaluate and delineate the contemporary landscape and progress of RAN translation research via a bibliometric analysis. We sourced literature on RAN translation from the Web of Science Core Collection. Utilizing two bibliometric analysis tools, CiteSpace and VOSviewer, we gauged individual impacts and interactions by examining annual publications, journals, co-cited journals, countries/regions, institutions, authors, and co-cited authors. Following this, we assessed the co-occurrence and bursts of keywords and co-cited references to pinpoint research hotspots and trending in RAN translation. Between 2011 and 2022, 1317 authors across 359 institutions from 34 countries/regions contributed to 250 publications on RAN translation, spread across 118 academic journals. This article presents a systematic, objective, and comprehensive analysis of the current literature on RAN translation. Our findings emphasize that mechanisms related to C9orf72 ALS/FTD are pivotal topics in the realm of RAN translation, with cellular stress and the utilization of small molecule marking the trending research areas.

Evaluating Students' Experiences with Project-Based Learning in Online Educational Contexts

In the contemporary landscape of education, integrating Project-Based Learning (PjBL) within online educational environments has emerged as a prominent pedagogical approach, aiming to foster students' critical thinking, collaboration, and problem-solving skills. This study seeks to evaluate students' experiences with Project-Based Learning in the context of online education, recognizing the significance of understanding the effectiveness and challenges associated with this instructional method. The primary aim of this research is to assess the perceptions and experiences of students engaging in Project-Based Learning within online educational settings. A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews to capture students' perspectives comprehensively. The study sample comprised students enrolled in diverse online courses across various disciplines, ensuring a broad representation of experiences and insights. The study's main results reveal a nuanced understanding of students' experiences with Project-Based Learning in online educational contexts. Quantitative analysis indicates overall positive perceptions regarding the effectiveness of PjBL in enhancing learning outcomes and fostering student engagement. Qualitative findings further elucidate the multifaceted nature of students' experiences, highlighting both the benefits and challenges of implementing PjBL in online settings. In conclusion, this research underscores the potential of Project-Based Learning as a valuable instructional approach within online education, offering opportunities for meaningful learning experiences and skill development. However, it also identifies several considerations and areas for improvement, such as adequate technological support, clear guidelines, and enhanced facilitation to optimize the PjBL experience in online environments. This study contributes to the field of education by providing empirical insights into implementing Project-Based Learning in online educational contexts. The findings offer valuable implications for educators, curriculum designers, and policymakers seeking to effectively integrate innovative pedagogical approaches into online learning environments, ultimately enhancing the quality and efficacy of online education.

Simulation of calculation of combat vehicle fuel efficiency by reducing vehicle weight using aluminum material

In the contemporary landscape, combat vehicles are tasked with meeting multifaceted demands, ranging from fortified defense capabilities to enhanced operational versatility and lethal efficacy. At the crux of these requirements lies the pivotal challenge of managing vehicular weight, a parameter that profoundly impacts endurance, agility, and speed. Extensive research endeavors have shed light on aluminum as a compelling solution to mitigate this weight burden while ensuring the requisite durability in combat vehicles. Through the utilization of MATLAB simulations, this study endeavors to elucidate the correlation between mass reduction and fuel efficiency, culminating in the creation of a comparative graph. The findings of this research make a significant contribution by demonstrating that a 15% reduction in vehicle mass, equivalent to 324 kilograms through the substitution of conventional materials with aluminum, yields substantial fuel savings amounting to 13.36%, or 1.3 liters. Such insights underscore the pivotal role of material selection in optimizing fuel efficiency in combat vehicle design

Health situation analysis of cervical cancer in Delhi

The capital city of India, Delhi is endowed with a plethora of multi- and super-specialty hospitals, both private and government, for treating various diseases. Patients from around the globe seek medical care in Delhi. The primary healthcare system is robust, with a network of newly established Mohalla and polyclinics. However, when it comes to a sensitive disease, ‘cervical cancer’, all glorious claims mentioned above seem to be inadequate. Cervical cancer is the 2nd most common cancer among Delhi's females. Delhi was 1st state to launch HPV vaccination as a public health program in 2016 despite resistance from civil societies. A situation analysis from literature reveals that cervical cancer screening services at the primary and secondary levels are on the backburner in Delhi, which is also evident from the poor screening habits of Delhi's females (0.7%) according to NFHS-5. This prompts questions regarding organization of the cervical cancer prevention program (NP-NCD) and the delivery of screening services in Delhi. In this review we have tried to illuminate the contemporary landscape of cervical cancer burden, screening, and treatment, while also identifying opportunities for enhancing cervical cancer management in Delhi. The study finds that implementation research targeted at finding barriers in program organization and service delivery would help strengthen the capacity of Delhi’s health system.