bluuebunny/crossref_metadata_2025 huggingface dataset:
Holistic Interference Management for Wireless Networks in the Era of Artificial Intelligence
Authors: Husen Arif , Nisar Shafaq , Chaudary Muhammad Hasanain , Khan Zuhaib Ashfaq
Published: December 2024

Future networks are expected to exhibit intense use of artificial intelligence due to the increasing use of intelligent devices in domestic and industrial life. The intelligent devices will communicate with networks and exchange information about expected performance, available cost packages, and availability of network resources along the destination. Therefore, networks need intelligent techniques to learn the state of various network functions and resources and adjust their configurations in an automated way. Machine learning techniques allow the networks to realize such learning and automate the optimization of the network functions and resources. Several techniques have been discussed in the literature to optimize and manage interference in radio networks. However, the existing approaches generally optimize one or a few aspects in a stand-alone fashion. Recently introduced global learning and deep holistic learning techniques can optimize the network function considering all known aspects. This article proposes a novel holistic learning and optimization technique for interference management in wireless networks. It uses a novel objective functions-based feature engineering process to capture the effects of various parameters and actions related to interference management. Transfer learning reduces computational complexity, and ensemble learning aggregates knowledge from base learners corresponding to each objective function. The experimental network is constructed using the NS3 LENA module, and standard Python libraries are used to implement the base learners and proposed model. It uses several base learners that learn the information from possible interference variables and determine the optimal actions across the cells. The experimental results show that the holistic learning-based approach efficiently manages the interference, improves the system capacity, and reduces the interference caused by user arrivals twofold compared to the state-of-the-art techniques.
Improved Human Activity Recognition Through Controllable GAN-Generated Synthetic Data and Large Language Models for Classification
Authors: Djemaa Mohamed Hedi , Jemili Farah , Megdiche Imen , Thabet Rafika , Lamine Elyes , Korbaa Ouajdi
Published: December 2024

Human Activity Recognition (HAR) is crucial in healthcare monitoring and smart home systems, tracking patient movements, de- tecting falls, and monitoring daily activities. Despite its importance, HAR faces significant challenges due to the scarcity of large-scale, diverse datasets and the lack of data representing abnormal activities, essential for detecting rare but critical health events. This paper addresses these challenges through advanced synthetic data generation and state-of-the- art classification techniques. We introduce a Generative Adversarial Net- work (GAN) designed for time series data to generate synthetic samples, significantly expanding the WISDM dataset. Our method includes gener- ating an ’abnormal’ activity class, enhancing the dataset’s diversity and real-world applicability. The synthetic data quality is rigorously evalu- ated using Dynamic Time Warping (DTW) to ensure fidelity to original data distributions. For classification, we leverage transformer-based mod- els to interpret and classify human activities from accelerometer data. This approach demonstrates the adaptability of advanced language mod- els to numeric, time-series data, opening new avenues in HAR research. Transformers, known for their success in natural language processing, show promise in capturing complex patterns in human activity data, leading to improved accuracy and robustness. Our methodology aims to expand the dataset, particularly for rare and abnormal activities, and enhance classification accuracy. This work contributes to HAR by pro- viding a framework for dataset enhancement and classification, paving the way for more robust and versatile activity recognition systems, espe- cially where data collection is challenging. The implications for health- care are significant, potentially leading to better patient outcomes and more efficient healthcare delivery.
Quasi-Static Analysis of Stress and Strain Distribution in Vocal Folds Under Constant Loading Conditions
Authors: Ávila Carlos Arturo Bohórquez , Forero-Casallas John Alejandro , Rosas Victor Elberto Ruiz
Published: December 2024

This study presents a detailed biomechanical analysis of vocal cords using the M5 model, focusing on their viscoelastic properties and dynamic behavior during phonation. The research investigates the interactions between airflow, tissue deformation, and acoustic conditions to understand the complex mechanisms underlying sound production. The primary components analyzed are the lamina propria, ligament, and body, each displaying distinct responses to applied pressures ranging from 1 to 3 kPa.
Key results reveal that the lamina propria is the most stress-concentrated region, particularly under higher frequencies, highlighting its critical role in absorbing mechanical loads and maintaining structural integrity. Displacement analysis shows anisotropic behavior, with higher flexibility in the X-direction (up to 3.5 mm) and alternating positive and negative values in the Y-direction, with maximum magnitudes of approximately -1 mm in the ligament. Nonlinear stress-deformation behavior was observed, with stresses rising sharply to 9 kPa when deformations exceeded 3 mm under a 3 kPa load. Additionally, natural vibration frequencies significantly affect stress distribution, potentially causing resonances that may lead to pathologies such as dysphonia.
The conclusions emphasize the importance of the viscoelastic properties of the lamina propria in enabling efficient sound modulation and stress absorption while preventing structural damage.
Low-Power Tunable Differentiator using Voltage Difference Transconductance Amplifier
Authors: Krishna Motkuri , Nagar Bal Chand
Published: December 2024

This paper demonstrates an innovative design of a voltage–mode differentiator circuit using the active element called voltage difference transconductance amplifier (VDTA). The proposed circuit utilizes one VDTA element, a single resistor, and a capacitor. The proposed circuit is designed in a gpdk 180nm CMOS processing a cadence Virtuoso tool. The designed circuit works with ± 0.9V supply voltage and uses a bias current of order 150µA, and also its amplitude is electronically tunable with bias current. Moreover, the proposed circuit provides 5% total harmonic distortion and 257µW power dissipation.
The lived experience of adolescents with type 1 diabetes mellitus in Bahir Dar, Ethiopia: a phenomenological study
Authors: Seid Yassin Hussin , Workie Hailemariam Mekonnen , Amare Desalegne , Awle Desalegn
Published: December 2024

Background
Type 1 Diabetes Mellitus (DM) is one of the most common chronic diseases in adolescence posing a threat to health and potentially endangering life. It can have a significant impact on the physical, social and emotional development of adolescents. Understanding the lived experience of an adolescent with type 1 DM is crucial for improving their health outcomes and future aspirations. However, there is currently no study that highlights their life experiences in Ethiopia. Therefore, this study aimed to explore the lived experiences of adolescents living with type 1 DM.
Methods
A phenomenological study was conducted among adolescents living with type 1 DM who received medical follow-up in Bahir Dar from March, 2023 to May 2023. The participants were selected using a purposive sampling technique. Data were collected through face-to-face in-depth interviews using semi-structured guiding questions developed by the authors. Credibility, dependability, transferability, and conformability were employed to ensure the quality of the data. Verbatim transcription and conceptual translation were done. Thematic analysis with ATLAS.ti 8.4.24 software was used.
Results
In this study, the lived experiences of adolescents living with Type 1 DM were presented in four themes: psycho-emotional experiences, challenges related to diabetes management and well-being, supportive factors, and coping mechanisms.
Conclusion
This study revealed that adolescents with DM were experienced social, emotional, spiritual and psychological challenges. They also faced issues related to adherence, sleep and insulin availability, as well as a lack of coping strategies. They relied on support from family, friends, schoolteachers, healthcare providers, and the community. Coping mechanisms such as avoidance, adaptation, and acceptance were utilized to manage their emotional challenges.
Assessing potential game-changing interventions to reduce adolescent pregnancy in Africa and Latin America: A systematic review and meta-analysis
Authors: Wycliff Katwesige , Cordova-Pozo Kathya , Asori Moses , Ribeiro Julia D. , Irfan Muhammad , Kigongo Stephen , Evelyne Tibananuka
Published: December 2024

Introduction: Adolescent health remains a significant public health concern in Africa and Latin America, resulting in adverse consequences for young women’s health, education, and socioeconomic empowerment. This review aimed to identify potential interventions and their effects on reducing adolescent pregnancy.
Methods: The PRISMA 2020 guidelines were used to conduct the review. We searched electronic databases for studies published between 2014 and 2024. We included interventional studies evaluating adolescent pregnancy. Two authors extracted data and assessed study quality using the Cochrane risk of bias tool. The primaryoutcomes were adolescent pregnancy and meta-analysis sub grouped outcomes into economic, educational, health, and combined interventions employing a Mantel-Hazel method and inverse variance method using Stata software. A risk ratio (RR) was obtained viathe random effect module among the subgroups. PROSPERO registered the study under ID: Reg. CRD42022369044.
Results: Our search yielded 8,175 studies, 13 of which met theinclusion criteria. Meta-analysis revealed the following outcomes. Socioeconomic interventions RR 1.0153 (95% CI 0.9267; 1.1125, P value=0.7441), educational interventions RR 0.8476 (95% CI 0.5998; 1.1980, P value=0.3490), health interventions RR 1.0614 (95% CI 0.9908; 1.1369, P value=0.0895), and combined interventions RR 0.9880 (95% CI 0.8824; 1.1062, P value =0.8338). Subgroup analysis for African women revealed 18.2% odds of reducing adolescent pregnancy OR 0.8180 (95% CI 0.5696; 1.1746), and for Latin American women, 22.7% increased the risk of adolescent pregnancy from the interventions OR 1.2271 (0.7996; 1.8831). The subgroup analysis revealedno statistically significant findings, with a P value of 0.1563.
Conclusion: The findings confirm a limited reduction in the rates of adolescent pregnancies by combined approaches in Africa compared with those inLatin America,despite overall results indicating no statistically significant effects from all interventions. Therefore, policymakers must prioritize programming for rigorous game changing interventional research in Africa and Latin America.
Traffic-cognitive Slicing for Resource-efficient Offloading with Dual-distillation DRL in Multi-edge Systems
Authors: Xiaoyang Ting , Zhang Minfeng , Zhang Saimin Chen
Published: December 2024

In edge computing, emerging network slicing and computation offloading can support Edge Service Providers (ESPs) better handling diverse distributions of user requests, to improve Quality-of-Service (QoS) and resource efficiency. However, fluctuating traffic and heterogeneous resources seriously hinder their broader application in multi-edge systems. Existing solutions commonly rely on static configurations or prior knowledge, lacking adaptability to changeable multi-edge environments and thus causing unsatisfying QoS and improper resource provisioning. To address this important challenge, we propose SliceOff, a novel resource-efficient offloading framework with traffic-cognitive network slicing for dynamic multi-edge systems. First, we design a new traffic prediction model based on self-attention to capture traffic fluctuations among different edge regions. Next, an adaptive slicing strategy based on random rounding is devised to adjust the resource configuration according to the traffic and demands of edge regions. Finally, we develop an improved Deep Reinforcement Learning (DRL) method with a dual-distillation mechanism to address the complex offloading problem, where twin critics’ networks and dual policy distillation are integrated to improve the agent’s exploration and updating efficiency in huge decision spaces. Notably, we carry out rigorous theoretical analysis to prove the effectiveness of the proposed SliceOff. Using the real-world testbed and datasets of user traffic, extensive experiments are conducted to verify the superiority of the proposed SliceOff. The results show that the SliceOff improves resource inefficiency and ESP profits under dynamic multi-edge environments, which outperforms state-of-the-art methods on multiple metrics under various scenarios.
Introducing a Multi-Dimensional Cryptographic Behavioral Analysis Framework for Ransomware Detection
Authors: Hilaw Charles , Fotheringham Magnus , Pemberton Claudia , Sanderson Daphne
Published: December 2024

Effective detection mechanisms are crucial in addressing the growing sophistication and frequency of ransomware attacks. The proposed Multi-Dimensional Cryptographic Behavioral Analysis framework leverages advanced analytical techniques to identify and classify malicious activities through the examination of unique cryptographic and behavioral signatures. By focusing on encryption processes, file system interactions, and anomalous network behaviors, the framework achieves a comprehensive understanding of ransomware operations. A hybrid detection algorithm integrates statistical inference with machine learning, ensuring adaptability to emerging ransomware variants while maintaining low false positive rates. Experimental evaluation demonstrates the framework's superior accuracy and robustness compared to conventional detection approaches, particularly in distinguishing between legitimate and malicious operations. Cryptographic feature analysis highlights distinct behavioral patterns among ransomware families, enabling precise identification through a combination of mathematical modeling and ensemble learning techniques. Scalability and computational efficiency are achieved through an optimized multi-dimensional pipeline, addressing challenges inherent in real-time operational environments. Insights from empirical data suggest that the framework effectively mitigates limitations associated with static and heuristic methods, offering a robust foundation for addressing future threats. Variability in detection performance across different scenarios demonstrates the need for continued refinement and exploration of additional feature dimensions. Expanding the framework to incorporate temporal and contextual attributes further enhances its potential for broader applications. The proposed methodology contributes significantly to the domain of ransomware detection, advancing both theoretical understanding and practical implementation capabilities. Results affirm its applicability in safeguarding digital ecosystems from increasingly sophisticated ransomware threats.
The impact of the COVID-19 pandemic on maternal healthcare costs in a UK inner-city multi-ethnic population
Authors: McGreevy Alice , Soley-Bori Marina , Tydeman Florence , Dalrymple Kathryn , White Sara , Khalil Asma , Poston Lucilla , Duncan Emma , Dasgupta Tisha , Mistry Hiten , Fox-Rushby Julia , von Dadelszen Peter , Magee Laura
Published: December 2024

Background: During the COVID-19 pandemic, maternity care reconfigurations disrupted in-person care, which shifted towards virtual care and self-monitoring. We assessed the impact of these changes on healthcare costs.
Methods: Data from October 2018 to April 2023 were used from the population-based early-LIfe data cross-LInkage in Research-Born-in-South London (eLIXIR-BiSL) platform linking maternity, neonatal, and mental healthcare data from three National Health Service (NHS) hospitals in South London, United Kingdom. Pregnancy costs were generated from the NHS perspective, using national unit costs and individual-level use of maternity, mental health, and primary care services. Interrupted time series analysis estimated the pandemic impact on monthly mother-newborn costs over time. Cross-sectional pre-pregnancy cost models isolated the impact of virtual care, and gestational diabetes (GDM) self-monitoring using the GDm-Health app.
Findings: Among 36,895 pregnancies, the monthly cost trendline level dropped by 4% (£38, 95% confidence interval: [£10-65]), during the first pandemic lockdown, and by £72 [36-108], when lockdowns were lifted. However, the pre-pandemic upward trendline slope of costs was unchanged (£0.46 [-2.93 to 3.84]). Monthly costs increased with first lockdown for Black (£103 [26-181]) and Asian women (£128 [38-218]) and increased more slowly during post-lockdown (-£12 [-23 to -2]), for Asian women, remaining higher throughout the pandemic for Black and Asian women. A 1% increase in virtual care was associated with a £7 [3-10] increase in maternity costs. GDM self-monitoring via GDm-Health was cost-neutral (£140 [-68 to 348]).
Interpretation: The pandemic was associated with temporary reductions in maternity costs due to lower healthcare utilisation. Ongoing, rising maternity costs were unchanged. The pandemic had differential effects on Black and Asian women compared to White. Further research is needed into clinical outcomes of virtual care (associated with higher costs) and use of GDm-Health (cost-neutral).
Funding: National Institute for Health Research (NIHR134293), Medical Research Council (MR/P003060/1, MR/X009742/1).
Ransomware Detection through Probabilistic Code Anomaly Profiling
Authors: Leisner Richard , Kensington Samuel , Abernathy Laura , MacAllister Daniel
Published: December 2024

The Probabilistic Code Anomaly Profiling (PCAP) framework represents a significant advancement in the detection of ransomware through its innovative integration of probabilistic modeling and comprehensive behavioral analysis. By employing Gaussian Mixture Models (GMMs) to model benign and malicious behaviors, the framework effectively identifies deviations indicative of ransomware activity. The dual approach of static analysis, which examines code structures, and dynamic analysis, which monitors runtime behaviors, enables the extraction of distinctive features that enhance detection accuracy. This methodology allows for the identification of both known and emerging ransomware threats, addressing the limitations of traditional signature-based detection systems. The PCAP framework's adaptability is further demonstrated through its dynamic adjustment of probabilistic thresholds, balancing sensitivity and specificity to minimize false positives while maintaining high true positive rates. Experimental evaluations have shown that the framework achieves a mean detection accuracy of 94.0\% across various ransomware variants, including LockBit, BlackCat, Hive, and Conti. Additionally, the system maintains efficient resource utilization, with CPU usage averaging around 46\% and memory consumption within acceptable limits, ensuring its suitability for real-time deployment in diverse operational environments. Comparative analyses indicate that the PCAP framework outperforms existing detection solutions, achieving higher detection accuracy and lower false positive rates. Its scalability has been validated through consistent processing times across varying dataset sizes, confirming its capability to handle large volumes of data efficiently. The framework's ability to adapt to emerging ransomware variants, as evidenced by increasing detection rates for newly identified strains such as Rhysida and Sphynx, demonstrates its relevance in the evolving threat landscape. The integration of probabilistic profiling and behavioral analysis within the PCAP framework establishes a robust and adaptable approach to ransomware detection, offering significant potential for enhancing cybersecurity measures against sophisticated and evolving threats.
Anomaly-Based Detection of Ransomware Using Virtualized File System Entropy Analysis
Authors: Hivola Calvin , Evesham Julian , Wolverstone Grace , Baskerville Leo , Marchant Annabel
Published: December 2024

The rising complexity of cyber threats requires innovative detection frameworks capable of addressing sophisticated attack vectors. The Virtualized File System Entropy Analysis (VFSEA) framework represents a novel approach that leverages entropy metrics to identify anomalies indicative of ransomware encryption processes. Through a combination of real-time file system monitoring and controlled virtualized environments, the methodology achieves robust detection without reliance on signature databases or extensive feature engineering. The incorporation of dynamic thresholding mechanisms enhances the framework's adaptability, enabling it to respond effectively to previously unseen ransomware variants. Experimental evaluations demonstrated high detection accuracy, with consistently low false positive rates across diverse datasets encompassing both malicious and benign activities. The modular design of VFSEA facilitates seamless integration into existing cybersecurity infrastructures while maintaining computational efficiency suitable for real-time applications. By isolating file operations within a sandboxed environment, the framework mitigates risks associated with active ransomware activity, ensuring the protection of critical assets during detection processes. Entropy-based anomaly detection further provides a scalable foundation, adaptable to the evolving encryption methodologies employed in modern ransomware campaigns. Detailed performance analyses highlight the framework’s ability to handle high-volume workloads while maintaining precision and efficiency. Comparative assessments reveal significant advantages over traditional detection methods, particularly in identifying polymorphic and zero-day ransomware variants. The findings demonstrate the potential of entropy-driven techniques to transform automated detection strategies, offering a pathway to enhanced resilience against advanced cyber threats.
Evaluating the Impact of Heat Warning Systems on Mortality and Morbidity: A Systematic Review
Authors: Enaworu Oghenetanure Ryan
Published: December 2024

Background
Heat exposure poses a significant global health risk, leading to approximately 7 deaths per 100,000 individuals annually. Implementing heat warning systems(HWS) aims to mitigate the health impacts of extreme heat events. This systematic review evaluates the effectiveness of these systems in reducing heat-related morbidity and mortality.
Methodology
A systematic search of Embase and PubMed databases was conducted using terms related to heat warning systems and health outcomes. Studies were limited to English-language research articles from the United States and Canada, focusing on studies that assess the impact of HWS on morbidity and mortality outcomes.
Results
Four articles assessed the relationship between HWS and mortality. One study reported a significant reduction in heat-related deaths, with reductions between 17% and 51% of expected rates. Another study noted an average of 2.6 lives saved per day due to HWS implementation. However, two studies found no significant association between HWS and all-cause mortality, with relative risk values of 1.005 (95% CI: 0.997, 1.013) and a per cent change in mortality of -0.5% (95% CI: -2.8, 1.9). Regarding morbidity, three studies indicated mixed results. One study showed increased hospitalizations for fluid and electrolyte disorders (RR: 1.040 [95% CI: 1.015, 1.065]) and heat stroke (RR: 1.094 [95% CI: 1.038, 1.152]), while another reported a 17% to 51% reduction in paramedic emergency medical service runs. The third study found no significant differences in overall health services use.
Conclusion
This review reveals a complex relationship between heat warning systems (HWS) and heat-related mortality and morbidity. While some studies show significant reductions in deaths, others indicate that HWS alone may not sufficiently lower overall mortality rates. Localized strategies that consider socioeconomic factors and healthcare access are essential, along with continuous improvement of HWS. Future research should examine regional variations to develop tailored approaches for specific heat-related health issues.
Association of selected non-communicable diseases with HSV positivity in a subset of a group of oral fibroepithelial polyp patients in Sri Lanka: preliminary findings
Authors: Perera Manosha Lakmali , Perera Irosha
Published: December 2024

The relationship between noncommunicable diseases and the presence of HSV-DNA in oral epithelial cells remains largely unexplored. The research focused on a subset of male patients with oral fibroepithelial polyps (FEP) in Sri Lanka. We retrieved data from 25 out of 29 oral fibroepithelial polyps across nine oro-maxillofacial units in six provinces of Sri Lanka to determine any association between the presence of Herpes simplex virus (HSV) DNA and the selected non–communicable diseases, using the SPSS-21 statistical package for data analysis. We employed Fisher’s exact test for comparing groups with cell counts of less than five, specifically to examine the HPV-DNA status of T2DM. The results indicated a statistically significant association between T2DM and HSV positivity; however, no significant associations were found with hypertension or periodontal diseases. The findings from this retrospective study should be further investigated to validate the results and assess their implications with a larger sample size and controlling for confounders.
Die Choreografie des Souveränen
Authors: Leineweber Christian , Zulaica y Mugica Miguel
Published: December 2024

Der derzeitige Diskussionsstand um digitale Souveränität ist durch bildungspolitische Forderungen und einer Kritik am Subjekt auf Basis der Handlungsmächte des Digitalen geprägt. Abgrenzend von diesen beiden Tendenzen plädiert der Beitrag für einen ästhetisch verstandenen Begriff der Souveränität, der einen reflexiven Gehalt gegenüber computertechnischen Modellierungen unserer Handlungs- und Entscheidungsfähigkeit aufweist. Ziel des Beitrags ist es, dieses Verständnis zu entfalten und für die medienpädagogische Theorie und Praxis anschlussfähig zu machen.
Die Gestaltung sozialpädagogischer Orte im virtuellen Raum
Authors: Witzel Marc
Published: December 2024

Sozialpädagogische Orte stellen eine spezifische Art dar, den Raumbezug Sozialer Arbeit zu denken. Sie weisen über die materielle Dimension von lokalen Orten hinaus und sind anschlussfähig an Konzepte des relationalen Raums. In diesem Beitrag frage ich nach den spezifischen Gestaltungsaspekten, die für die Gestaltung digitaler sozialpädagogischer Orte im Allgemeinen und für die Beratung im Besonderen bedeutsam sind.
Goschler, J. (2023). Sprachbildung für alle. Eine Streitschrift. Dudenverlag. 62 S., 10,00 €
Authors: Struckmeyer Kati
Published: December 2024

Sprachliche Kompetenz ist eine der Voraussetzungen für gesellschaftliche Beteiligung und beruflichen Erfolg. Aber warum ist das überhaupt so und inwiefern ist das gerecht? Wie kann die sprachliche Bildung von Kindern und Jugendlichen gefördert werden und welche Voraussetzungen sind im Bildungswesen dafür vonnöten? Der schmale, aber gehaltvolle Band macht den Zusammenhang von sprachlicher Kompetenz und Partizipation am sowie Erfolg im Bildungssystem sehr deutlich. Er plädiert dabei vor allem für die Sensibilisierung für das Thema bei allen Beteiligten – pädagogischen Fachkräften genauso wie Eltern. Dabei kritisiert Goschler vor allem, dass Sprachbildung immer noch als Privatsache angesehen wird, wodurch Bildungsungerechtigkeit meist erst entsteht. Nach einem kurzen Exkurs in die Diskriminierung von mehrsprachigen Kindern und die (Bildungs-)Nachteile, die dadurch entstehen, widmet sich die Autorin den sprachlichen Varietäten mit dem Fokus auf Bildungssprache. Abschließend behandelt Goschler Sprachbildung als Aufgabe von Bildungsinstitutionen und wie sie dieser Aufgabe gerecht werden können. Ihr Plädoyer ist dabei die Schaffung eines stärkeren Bewusstseins bei Lehrkräften für den Zusammenhang zwischen sprachlichem und fachlichem Lernen. Anhand von ganz konkreten Beispielen wird dieser sehr gut erklärt und in die Praxis transferiert. Medienpädagog*innen können viele Anregungen finden, sowohl für die Projektarbeit in der Praxis als auch für verschiedene Veröffentlichungsformen. Das Fazit der Publikation zeigt die gesamtgesellschaftliche Relevanz des Themas auf: „Ohne eine durchgängige Sprachbildung für alle, die sich durch alle Bildungs- und Ausbildungswege hindurchzieht, werden wir viele Bildungsziele unserer Gesellschaft nicht erreichen“ (S. 61). Und damit wird auch die gesamtgesellschaftliche Verantwortung für die Sprachbildung klar.
Goschler, J. (2023). Sprachbildung für alle. Eine Streitschrift. Dudenverlag. 62 S., 10,00 €
Medien und Wirtschaft: Die Rolle der Verbraucher*innen in einer vernetzten Welt
Authors: Halm Tatjana
Published: December 2024

Medien und Wirtschaft beeinflussen Verbraucher*innen in der vernetzten Welt. Neue Geschäftsmodelle und personalisierte Werbung verwenden Nutzendendaten, um Kaufentscheidungen zu beeinflussen. Influencer*innen-Marketing lockt mit Reichweite und Bezahlung, birgt jedoch Risiken wie Manipulation, gefälschte Empfehlungen und Datenschutzprobleme. Hier wird aufgezeigt, wie Verbraucher*innen sensibilisiert werden können, um bewusste Entscheidungen zu treffen.
Stichwort Cultural Marketing
Authors: Giebisch Antonia
Published: December 2024

Heutzutage ist es wichtig, dass Unternehmen eine tiefgehende Verbindung mit ihren Kund*innen aufbauen. Cultural Marketing gilt als eine Möglichkeit, den Verkauf neuer Produkte mit dem Aufbauen einer kulturellen Verbindung zu Kund*innen zu vereinen.
Es geht darum, nicht nur oberflächlich mit Kund*innen in Kontakt zu treten, sondern sich an die kulturellen Gegebenheiten, Werte, Normen sowie an deren Gewohnheiten anzupassen. Ein tiefgreifendes Verständnis der Zielgruppen ist unerlässlich, um diese kulturelle Sensibilität optimal zu nutzen. Sprache spielt dabei eine entscheidende Rolle.
Das Potenzial dieser Strategie wurde zum Beispiel von der Marketingagentur Serviceplan er-kannt, die zum 01. Januar 2024 das Angebot Serviceplan Culture für den deutschen Markt eingeführt hat. Das Team – bestehend aus Niko Backspin aus dem Bereich Hip-Hop-Content, Ex-TikTok Managerin Franziska Gregor und dem Kommunikationsexperten Sven Labenz – strebt an, Cultural Marketing auch bei Bestandskund*innen zu etablieren und das Angebot zeitnah auf internationaler Ebene auszuweiten.
Doch es ist Vorsicht geboten: Cultural Marketing bringt auch Risiken mit sich. Eine unachtsame Handlung kann schnell als kulturelle Aneignung wahrgenommen werden und somit das Vertrauen der Kund*innen untergraben. Kulturelle Aneignung bezieht sich auf das unreflektierte Übernehmen von Kulturelementen in falscher oder verzerrter Weise, was zur Förderung bzw. Manifestierung von Stereotypen führen kann. Um sich klar von kultureller Aneignung abzugrenzen, ist es demnach wichtig, den Zielgruppen Wertschätzung und Respekt entgegenzubringen und sich intensiv mit ihnen auseinanderzusetzen.
Himalayan Leucogranites: Petrogenesis and Significance
Authors: Teng Fang-Zhen , Wu Fu-Yuan
Published: December 2024

Himalayan leucogranites crop out intermittently over 2000 km along the crest of the world’s youngest and largest mountain range. They are derived from partial melting of continental crust during a classic continental collisional orogeny. Studies of these leucogranites have significantly advanced knowledge of crustal anatexis, felsic magmatic differentiation, and the tectonic evolution of the Himalayan-Tibetan orogen. This Elements thematic issue provides an overview of the petrogenesis and significance of the Himalayan leucogranites including field relations, source rocks, petrology, geochemistry, tectonics, and links to orogenesis and economic resources. It not only summarizes the state-of-the-art research on Himalayan leucogranites but also demonstrates how a multidisciplinary approach can help constrain the origins and evolution of granites, their associated mineralizations, and related geodynamic development.
COMPARISON OF VACUUM-ASSISTED CLOSURE (VAC) THERAPY AND CONVENTIONAL THERAPY FOR DEEP STERNAL WOUND INFECTIONS (DSWI) POST-OPEN HEART SURGERY
Authors:   Department of CTVS Government Medical College Kottayam., Kishore Nochur Adinarayanan , V. Nair Vinitha ,   Department of CTVS Government Medical College Kottayam., Jayakumar T.K ,   Department of CTVS Government Medical College Kottayam.
Published: December 2024

Deep sternal wound infections (DSWI) represent a serious postoperative complication in cardiothoracic surgery, leading to significant morbidity, prolonged hospital stays, and increased mortality. Traditionally, DSWI has been managed through debridement, antibiotic regimens, and conventional wound care methods, but Vacuum-Assisted Closure (VAC) therapy has recently emerged as an alternative approach. This article compares VAC therapy with conventional therapy, assessing their respective impacts on wound healing time, infection rates, and overall patient outcomes. Findings suggest that VAC therapy offers promising advantages over traditional methods in DSWI management.
OPTIMISING THE FORMULATION OF CONCRETES USED IN RESIDENTIAL BUILDINGS IN CHAD
Authors:   Department of Technology, Industrial Engineering Study and Research Laboratory (LERTI), Faculty of Exact and Applied Sciences, University of NDjamena., Haroun Tchakblo A. ,   Civil Engineering Laboratory, NDjamena, Chad., Ngarmaim Nadjitonon ,   Department of Technology, Industrial Engineering Study and Research Laboratory (LERTI), Faculty of Exact and Applied Sciences, University of NDjamena., Kormbaye Djegolde ,   Department of Technology, Industrial Engineering Study and Research Laboratory (LERTI), Faculty of Exact and Applied Sciences, University of NDjamena.,   Civil Engineering Laboratory, NDjamena, Chad., Djamal Ali ,   Civil Engineering Laboratory, NDjamena, Chad., Gaye Salif ,   LM3E, UIDT of Thies, Senegal.
Published: December 2024

This study focuses on optimising the formulation of concrete used in residential buildings in Chad. Knowledge of the characteristics of materials through various laboratory tests, i.e. determination of the different characteristics of aggregates and cements, verification of the purity of the mixing water, and quality control of concretes, is of particular importance for compliance with the standard. Subsequently, this knowledge must be combined with the appropriate concrete formulation method: on the one hand, the Dreux-Gorisse method, which emphasizes the balance between concrete strength and workability, and on the other, the B. Scramtaiev method, which gives accurate results and seems to be the least well-known. The synthesis of all the analyses carried out in the course of this study can lead us to the kind of proposals for improvement that we consider useful and effective in the context of technical construction studies.It is in this context that our work is set, through experimental evaluation of the influence of cement dosage and type, E/C ratio, G/S ratio and aggregate cleanliness and grading, maximum aggregate diameter on compressive strength. The results obtained encourage new perspectives in the continuity of this work.The main objective of our work is to make a contribution to optimizing the formulation of concrete in the context of valorization of local materials, with the use of additives, in order to ensure adequate improvement of concrete characteristics.
ETHNOMEDICINAL PLANT USED BY DIFFERENT COMMUNITIES OF MAJULI, ASSAM, INDIA
Authors:   Department Of Botany, Majuli College, Kamalabari, Majuli-785106, Assam, India., Gogoi Juli , Aminul Islam Md. ,   Department Of Botany, Majuli College, Kamalabari, Majuli-785106, Assam, India., Borah Indira ,   Department Of Botany, Majuli College, Kamalabari, Majuli-785106, Assam, India.
Published: December 2024

Since ancient times, plant have been utilised in ethnomedicine to treat a variety of illnesses. This study aimed to document the extent of plant resources utilized by the common local population to treat various ailments. Numerous diseases, such as diarrhea, indigestion, asthma, malaria, piles, fever, body aches, coughs, skin disorders, jaundice, headaches, kidney, and liver problems were treated with these plants. Field trips and questionnaire surveys were used to gather data on the applications of different plants. A total of 93 plant species from 56 families were described in this study, and they have utilized to cure about 52 different ailments. The widely used family was Zinziberaceae with 6 species. The predominantly used plant part is leaf with 31 species. The majority of the plants were classified as trees, shrubs, and herbs.
ETUDE COMPARATIVE DES CARACTERISTIQUES DU SOL PAR STABILISATION AU CIMENT ET A LA CHAUX EN CONSTRUCTION ROUTIERE : CAS DU SOL DE BUGANGA A MINOVA/PROVINCE DU SUD KIVU/RDC
Authors:   Laboratoire des Procedes et Innovations Technologiques de Lokossa, Universite Nationale des Sciences Technologies, Ingenierie et Mathematiques (UNSTIM) dAbomey, republique du Benin., Anicet Sagnon Yamonche Jules , Alnabiwe Ally ,   Laboratoire de genie civil Universite Libre du Pays des Grands Lacs ULPGL/Goma Republique Democratique du Congo., Mathias Vissoh Leandre ,   Laboratoire des Procedes et Innovations Technologiques de Lokossa, Universite Nationale des Sciences Technologies, Ingenierie et Mathematiques (UNSTIM) dAbomey, republique du Benin., Muhiwa Masika Grace ,   Laboratoire de genie civil Universite Libre du Pays des Grands Lacs ULPGL/Goma Republique Democratique du Congo., Adomou Alain ,   Laboratoire des Procedes et Innovations Technologiques de Lokossa, Universite Nationale des Sciences Technologies, Ingenierie et Mathematiques (UNSTIM) dAbomey, republique du Benin.
Published: December 2024

This work focused on the comparative study of soil stabilization with cement and lime. The purpose of this study is to carry out a comparative study of the stabilization of soil with cement and lime in order to increase the bearing capacity of the Minova soil to enhance this soil for use in road constructions (base layers and road bed) but also to contribute to the identification of this soil by studying the influence of stabilizers on the characteristics of the Minova soil. To achieve the expected results. Tests for the determination of the parameters of identification, compaction (modified Proctor) and bearing capacity (CBR) on the soil of BUGANGA in its natural state and after stabilization with cement and lime. The results obtained showed that the soil of BUGANGA is made up of 47.25% of the fines, therefore classified as fine soils. As far as the type of soil is concerned, it is a sandy clay with little plasticity characterized by a low bearing capacity (CBR=5.37%) with a medium swelling. Thus, due to its low load-bearing capacity, the BUGANGA soil has been stabilized to increase its bearing capacity. The results obtained showed that the addition of cement and lime increases the bearing capacity of the BUGANGA soil. Hence, by adding different contents of cement and lime, the CBR increased from 5.37%. In various stabilization formulations with lime and cement, BUGANGA soil is suitable for use in pavement beds.
A systematic revision of Aprionyx Barnard, an endemic South African genus of Leptophlebiidae (Ephemeroptera)
Authors:   , Ferreira Ina Susan
Published: December 2024

Aprionyx Barnard, 1940 is the most speciose genus of Leptophlebiidae in South Africa and endemic to the southern region. Like the other African Leptophlebiidae, Aprionyx has received limited research. The earliest described Aprionyx species were based only on adults that were then placed in Atalophlebia Eaton, 1881. The first descriptions of nymphs were contributed by Barnard (1932), with the smooth claws of the nymphs being the distinctive feature that allowed him to create Aprionyx for all of the South African species placed in Atalophlebia at that time. This research aimed to improve knowledge of Aprionyx species by revising its molecular and morphological systematics. Molecular phylogenetic analysis of the COI, 16S and 28S genes generated a species tree illustrating the species’ relationships within Aprionyx. Species delimitation analyses (bPTP and GMYC methods) were generally congruent with the molecular phylogenetic species composition. The phylogeny identified up to ten potentially new species, a substantial increase in the species diversity of Aprionyx. Review of the descriptions of the eight named Aprionyx species resulted in major nomenclatural changes concerning A. tabularis (Eaton, 1884), A. phoeocera (Lestage, 1924) stat. rev. and A. intermedius Barnard, 1932 n. syn. With the redescriptions of all currently known species, the nymph of A. rubicundus Barnard, 1932 was described for the first time. An identification key to the species of Aprionyx was compiled from newly recognized descriptive characteristics and, for the first time, includes both imagos and nymphs. Molecular and morphological phylogenetic analyses recovered Aprionyx as monophyletic, although this was poorly supported morphologically. The phylogenies were topologically congruent and identified two clear geographically separated clades, a western and eastern Aprionyx group. Molecularly, morphologically and geographically, these two clades were recovered as two clearly distinct groups within the genus. The analyses further identified three lineages in Aprionyx: rubicundus, pellucidulus and eastern Aprionyx. The estimated age of Aprionyx indicated that initial diversification occurred during the Cretaceous (approximately 100 ma). Aprionyx peterseni (Lestage, 1924) was shown as the oldest of the analysed species, and the main drivers to species diversification were possibly the glacial cycles of the Quaternary period, through the mechanism of river anastomosis during fluctuating sea levels. Further research is needed to strengthen the support for the hypothesis identified in this study, but a substantial foundation has been laid by this work for future research, conservation and environmental decision-making.
Numerical Algorithm for Searching the Optimal Temperature Regime of a Chemical Process on the Basis of Evolutionary Calculations
Authors:   Ufa University of Science and Technology, Antipina Evgenia Viktorovna , Mustafina Svetlana Anatolievna ,   Ufa University of Science and Technology, Antipin Andrey Fedorovich ,   Ufa University of Science and Technology
Published: December 2024

An algorithm for calculating the optimal temperature profile of a chemical process is developed. The formulation of the problem of optimal control of the chemical process is given. The temperature of the reaction mixture is considered as a control, the values of which are subject to constraints. A finite-dimensional approximating problem is formulated, for the solution of which an algorithm based on the method of differential evolution is constructed. The work of the algorithm is tested on an industrially significant process of phthalic anhydride production. The optimal temperature regimes at which the highest degree of transformation of the starting substance, the highest concentration of the target product and the lowest content of the reaction by-product are achieved are calculated.
Solution of the Carleman System Using Group Analysis
Authors:   Moscow State University of Civil Engineering, Dukhnovsky Sergei Anatolievich ,   Institute of Digital Technologies and Modeling in Construction
Published: December 2024

In this paper, we consider the discrete kinetic Carleman system. The Carleman system is the Boltzmann kinetic equation, and for this model momentum and energy are not conserved. Using group analysis methods, we obtain a solution representing the density of gas particles in a certain area. This limitation is due to the non-negativity of solution. Similarly, it is possible to find exact solutions for other kinetic models.
CONFLUENCE OR SUBMISSION OF INTERESTS? CORRUPTION AS AN EXPRESSION OF THE ACTION OF PUBLIC AGENTS ALLIED TO MAJOR CORPORATIONS
Authors: Cerqueira Sopas de Melo Bandeira Gonçalo Nicolau , Fragoso Bittencourt Araújo Fábio Manoel , Ladeira Garbaccio Grace
Published: December 2024

Given the outbreak of large cases of corruption in recent decades, it is necessary to address the relationship between public agents and business organizations in Brazil. The problem in question lies in the distancing from the public interest in these relationships. From this perspective, the objective is to discuss corruption as an expression of State action in collusion with private companies. The selected methodology was the bibliographical research, of a qualitative nature. The results pointed to several administrative corruption scandals in Brazil in recent decades. Thus, the conclusion reached is that, normally, these relationships do not converge for the common good, considering that public agents are submissive to the interests of large companies.
INJUSTIÇA AMBIENTAL E AS IMPLICAÇÕES QUANTO À VULNERAÇÃO DE DIREITOS DAS MULHERES INDÍGENAS GUARANI E KAIOWÁ
Authors: De Souza dos Anjos Costa Welington Oliveira , Vianna Longhi Caroline
Published: December 2024

Esta pesquisa trabalha o conceito de injustiça ambiental, compreendida como sendo a vulneração de espaços ambientais a alguns em detrimento de outros, relacionando-a às mulheres indígenas guarani e kaiowás que vivem nas reservas da cidade de Dourados – estado do Mato Grosso do Sul, sob a ótica do feminismo decolonial. Por meio de revisão de literatura, a partir do conceito e associando-o a uma ideia de desenvolvimento sustentável na perspectiva interseccional dos direitos humanos das mulheres indígenas, pretendeu-se demonstrar de que maneira estas são afetadas pela política assimilacionista que as vulnera de forma particular e fomenta práticas ofensivas aos seus direitos humanos. Resulta que o justo acesso à justiça ambiental pelas mulheres indígenas depende da mudança de perspectiva distributiva e consideração de suas vivências e culturas, o que pode ser facilitado pela implementação dos objetivos para o desenvolvimento sustentável contidos na Agenda 2030.
Editorial
Authors: Gaigher Bósio Campello Lívia , Coimbra de Carvalho Luciani
Published: December 2024

Editorial
PÓS-DEMOCRACIA?
Authors: Monedero Juan Carlos
Published: December 2024

Em tempos de crise, a compatibilidade entre capitalismo e democracia volta como um ponto de interrogação. A financeirização da economia, a desregulamentação econômica e a capacidade de lobby das grandes empresas são fatores que limitam a capacidade de gestão do Estado. Da mesma forma, a cartelização dos partidos políticos, a saturação audiovisual, o imaginário consumista hegemônico e a assunção do “capitalismo popular” pelas classes médias enfraqueceram o compromisso do pós-guerra com os valores socialdemocratas. Isso leva a um olhar nostálgico sobre a “democracia” perdida. Mas por trás da “pós-democracia” há um processo de maior profundidade: a centralidade da “pós-política”, que neutraliza o elemento central da democracia: o conflito.