bluuebunny/crossref_metadata_2025 huggingface dataset:
Role of Financial Development and ICT in Promoting Inclusive Growth in South Asia: Moderating Effects of Governance
Authors: Safdar Sofia , Ali Ahmed , Iqbal Muhammad Shahid , Nasim Ismat
Published: November 2024

The primary purpose of this study is to compute the index for inclusive growth by taking into account the indicators of poverty, income inequality, labor productivity, life expectancy, job creation, and climate. Calculating the index accomplished by the utilization of principal component analysis in order to acquire weights. Further in the study, the influence of financial development, governance, consumption, and economic growth on inclusive growth for selected south Asian economies (Pakistan, Bangladesh, India, Bhutan, Sri Lanka, and Nepal) is measured. The data is gathered from the World Development Index (WDI), the World Governance Index (WGI), the Internet Subscriber Database, and the International Monetary Fund Development Database. Due to the fact that the data spans from the year 2000 to the year 2023 and that missing values are interpolated through the use of trend projection, a fully balanced panel data sheet has been generated. Through descriptive statistic and VIF, prerequisite information is gathered to see the robustness of model. When it came time to make a decision on the unit root testing, the cross-sectional dependency test utilized to seek guidance. According to the findings, there is no evidence of cross-sectional dependency, and the first generation of unit root tests utilized. The stationarity results of mixed order of integration and T>N indicate the use of panel ARDL. Additionally, in order to see the influence that governance has on inclusive growth in connection to financial development, the moderator effect of governance also inquired. Based on the findings, it is concluded that regulatory quality is not playing a significant moderator role of the financial development towards inclusive growth in selected economies of south Asia. Drawing the inferences from the results of the study it is suggested that to expand the financial inclusion by supporting the digital financial services particularly in marginalized areas.
The Psychological Effects of Remote Learning on Students: Examining Social Isolation, Anxiety, and Self-Discipline
Authors: Akese Aneke Rachael , Shaikh Hassan Latif , Sheraz Sara , Mughal Fatimah Arshad
Published: November 2024

This study examines the psychological effects of remote learning on students, with a focus on social isolation, anxiety, and self-discipline, along with related factors like motivation and time management. Using data from 500 university students, a quantitative correlational analysis found a significant positive correlation between social isolation and anxiety (r = 0.52, p < 0.01), indicating that reduced in-person interaction intensifies emotional stress. Self-discipline emerged as a moderating factor, helping students with higher levels of self-regulation to maintain academic performance despite isolation and anxiety. Regression analysis showed that higher anxiety negatively impacts both self-discipline (B = -0.30, p < 0.01) and academic performance (B = -0.35, p < 0.01). Motivation and time management also positively correlated with academic engagement (r = 0.60, p < 0.01) and performance, highlighting their importance in online learning success. This study contributes to frameworks such as Baumeister and Leary’s "need to belong," Deci and Ryan’s Self-Determination Theory, and Zimmerman’s Self-Regulated Learning theory, emphasizing the critical role of social and emotional support in student resilience. Practical recommendations include offering mental health resources, enhancing virtual peer connections, and incorporating self-regulation training into curricula. These findings underscore the importance of addressing students' psychological needs to foster both academic success and emotional well-being in online education. Future research should explore the long-term effects of remote learning and evaluate targeted interventions to enhance students’ resilience and engagement.
Digital Therapeutics in Mental Health Care: A Critical Evaluation of Mobile Applications and Online Interventions for Anxiety and Depression
Authors: Rehman Abdul , Jamil Tanzeela , Baloch Snowber Khaliq , Rehman Muaz Shafique Ur
Published: November 2024

This research study evaluates the effectiveness, usability, and limitations of digital mental health interventions, particularly mobile applications and online platforms, in managing anxiety and depression. As digital therapeutics gain traction as innovative tools in mental health care, their potential for accessibility, scalability, and personalization positions them as valuable complements to traditional therapeutic approaches. The study utilized a cross-sectional design and meta-analysis of quantitative data from clinical trials, peer-reviewed studies, and user feedback. Key findings revealed that digital interventions significantly reduce symptoms of anxiety and depression, with paired t-tests confirming notable symptom relief post-intervention (p < 0.01). Regression analysis highlighted user engagement and personalized content as critical factors, with higher engagement correlating with improved mental health outcomes. Demographic analysis indicated that older participants experienced the most pronounced benefits, underscoring the importance of tailored approaches for different age groups. Limitations included short-term follow-up periods and potential sample selection bias, pointing to the need for more diverse, long-term research. The study concludes that digital therapeutics hold significant promise for enhancing mental health care, recommending future integration with traditional services and the adoption of emerging technologies like artificial intelligence to optimize user engagement and outcomes.
DEVELOPMENT OF A MECHANICAL EQUIPMENT FOR TRANSPLANTING SUGARCANE (Saccharum spp. Hybrids) SPROUTS
Authors: Ortiz-Laurel Hipolito , Rosas-Calleja David , Debernardi-de-la-Vequia Hector , Gomez-Jimenez Arturo Abraham , Gomez-Juarez Israel Antonio
Published: November 2024

Manual planting of sugarcane (Saccharum spp. Hybrids) in Mexico is slow and eye-bud germination is deficient. Alternative planting methods have to be adopted in order to improve sugarcane field productivity. This work score the field performance of a tractor mounted planter prototype when transplanting two months old nursery growth sugarcane (Saccharum spp) sprouts, in relation to parameters; sound sprouts treatments, row separation between seedlings, up right placement into the soil, appropriate soil covering and field uniformity at planting. This mechanical equipment was trialed when operating on a readily soil tilled for sugarcane planting, although slightly stoned on the surface. Tractor and implement combination was set to travel at a field speed of 0.3 m s-1 when laying seedlings into the row at 900 mm separation. Transplanting separation between seedlings onto the row had a variation of 3.4%. When assisted by two laborers for planting, the tractor and implement combination can achieve a field capacity of 2.5 ha day-1. Thus, for a field capacity of 2 ha day-1 and operating a 120 workdays per planting season, investment on the machine can be claimed in two years’ time. Consequently, planting of sugarcane sprouts by using the planter prototype is up to eight times more economical when compared to manual transplanting.
Domestic Violence: Modern Challenges and Areas of Counteraction In Ukraine
Authors: Teremetskyi Vladyslav Ivanovych , Sloma Valentyna Mykolaivna , Fedorenko Tetiana Viktorivna , Polyukhovich Oleg Ivanovych , Hryshko Viktoriia Ivanovna , Koropatnik Igor Mykhailovych , Karelin Vladyslav Volodymyrovych
Published: November 2024

Objective: The purpose of the article is to determine the role and significance of the interaction between the police and society as the main factor in combating crime, taking into account Ukrainian and foreign legislation, different opinions of scholars and empirical data.
 
Theoretical Framework: The theoretical basis for this study is the scientific studies dedicated to fundamental issues of human interaction in modern conditions, the essence and general social significance of the institution of the family, as well as have thoroughly studied the problems of domestic violence.
 
Method: The methodological basis of the research is systemic, comparative and legal analysis, formal and legal method, interpretive method, as well as methods of analysis and synthesis.
 
Results and Discussion: A number of problematic aspects of the essence of combating domestic violence has been analyzed, which made it possible to form an understanding of this phenomenon as an extremely complex and multifaceted category that depends on a number of factors both at the individual and public levels.
 
Contributions: It has been concluded that it is important to distinguish the areas of combating domestic violence for a more complete understanding of this process, especially in terms of large-scale armed aggression and new digital challenges. In particular, it has been emphasized on such areas as the prevention of domestic violence by servicemen and veterans, as well as the active use of digital technologies in fighting against domestic violence.
A Survey on Network Security Monitoring: Tools and Functionalities
Authors: Z. S. Younus  , M. Alanezi
Published: November 2024

Recently, cybersecurity breaches have become more common, with varying levels of impact ranging from simple to major losses of financial resources or data. The network infrastructures are the main goal of the malicious activity to compromise confidentiality, integrity, and availability (CIA) of information security. The network devices produce a large number of logs, making the handling of these logs very important because they serve to record all activities and events that take place on the network’s devices and applications to detect and prevent abnormal behaviors. Network security monitoring is a process used to monitor network devices and their traffic to detect security vulnerabilities, threats, and suspicious activities. Organizations are using network security monitoring to quickly detect and respond to cybersecurity threats. Various methods are used to protect network devices, like antivirus, firewalls, intrusion detection systems (IDS), and intrusion prevention systems (IPS), which typically operate independently. For that reason, attacks cannot be identified unless logs and events from different devices and applications are correlated and managed from a centralized location. Security information and event management (SIEM) addresses this issue by offering the capability to increase the level of information security and data protection through centralized log management for network devices. This paper presents a survey of network security monitoring techniques, encompassing their functionality, contents, and tools. Traditional tools, intrusion detection and prevention systems, and SIEM are some of these tools. In addition, the paper introduces SIEM as the most common and advanced security tool, highlighting its functionalities and capabilities.
Real-Time Industrial Data Analysis and Visualization
Authors: Dr. P C Latane  , Aditi Bhise  , Harshada Biradar  , Sakshi Marathe
Published: November 2024

In the era of Industry 4.0, real-time data monitoring and analysis have become essential for enhancing operational efficiency and decision-making in industrial environments. This project focuses on the development of a comprehensive system for visualizing and analyzing real-time industrial data using a DHT11 sensor, which measures temperature and humidity. The collected data is transmitted and visualized through a dynamic web interface built on MyPHPAdmin, enabling users to access and interpret data seamlessly. The visualization aspect of the project aims to present the data in an intuitive format, allowing stakeholders to monitor environmental conditions effectively. Following the visualization phase, the data will undergo thorough analysis using advanced tools like Tableau and Excel, providing insights into patterns, trends, and anomalies in the industrial setting. This project not only demonstrates the integration of hardware and software technologies for real-time data management but also emphasizes the importance of data visualization and analysis in optimizing industrial processes. Ultimately, it serves as a foundation for further research and development in the field of industrial automation and data-driven decision-making.
MalenoCare - Skin Cancer Detection and Prescription using CNN and ML
Authors: More Nikhil Sharad  , Zinjad Mahesh Sharad  , Shaha Shakur Anwar  , Prof. Chaudhari N. J.
Published: November 2024

Machine learning (ML) and convolutional neural networks (CNNs) have driven significant advancements in healthcare, particularly in dermatology, by enabling the automation of diagnostic processes for skin cancer. Skin cancer, being one of the most common types of cancer, requires early detection and accurate classification to improve patient outcomes and reduce mortality rates. This review paper explores various studies and CNN-based tools that enhance skin cancer detection and support preventive care through image analysis. The paper also discusses the effectiveness of different CNN architectures, including VGG16, ResNet, and Inception, in achieving high accuracy rates in skin lesion classification. A combination of recent research findings, model evaluation metrics, and graphical data highlights the accuracy, interpretability, and real-world applications of ML models, offering insights into their potential for integration into clinical practice.
Políticas culturales interjurisdiccionales. El caso del Instituto Unzué de Mar del Plata, Argentina, (2007 – 2015)
Authors: Romero Claudia Alejandra , Eciolaza Guillermo Osvaldo
Published: November 2024

El artículo analiza las políticas culturales implementadas entre 2007 y 2015 en relación con el Instituto Saturnino Unzué de Mar del Plata, Provincia de Buenos Aires, Argentina, destacando la intervención estatal y la colaboración interjurisdiccional en su preservación y refuncionalización. Se estudian las acciones de diversos actores, resaltando la necesidad de políticas más integrales y sostenibles para garantizar la conservación de este patrimonio cultural. El trabajo subraya la importancia de las intervenciones conjuntas para mantener vivo este espacio emblemático, que sigue siendo un centro cultural activo y significativo para la comunidad local, provincial y nacional.
Utilizing Data Science for Exploratory Data Analysis in Economic Research: Uncovering Key Relationships and Insights
Authors: Ganguly Priyam
Published: November 2024

This study utilizes Tableau for Exploratory Data Analysis (EDA) to examine an economic dataset. EDA employs visual representations and summary statistics to summarize data characteristics, identify patterns, and test hypotheses. We demonstrate the application of EDA techniques to understand the relationships between Gross Domestic Product (GDP), inflation, lending interest rates, and BSE growth, enabling informed decision-making. Through data visualization, we uncover correlations and interdependencies within the dataset, providing valuable insights for economic analysis. This methodology facilitates well-informed decisionmaking by enabling the identification and examination of interdependencies and correlations within the dataset. Trends, abnormalities, and possible causal linkages that might not be readily apparent using conventional data analysis approaches might be found by data visualization. Policymakers, economists, and academics can use our analysis to help them make data-driven decisions by providing insightful information for economic analysis. We demonstrate the value of EDA in economic research and Tableau's usefulness as a tool for finding significant patterns in large, complicated datasets by presenting these links.
Yüksek Riskli Lezyonlarda Riskin Değerlendirilmesi ve Genetik Yaklaşım
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Tıbbi Genetik Ana Bilim Dalı, İstanbul, Türkiye, Kesriklioğlu Betül , Yılmaz Seda Salman ,   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Tıbbi Genetik Ana Bilim Dalı, İstanbul, Türkiye, Özen Mustafa ,   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Tıbbi Genetik Ana Bilim Dalı, İstanbul, Türkiye
Published: November 2024

Yüksek riskli meme lezyonları, B3 lezyonları olarak bilinen atipik duktal ve lobüler hiperplaziler, in situ lobüler karsinomlar, papiller lezyonlar, düz epitelyal atipi, radyal skarlar ve fillod tümörleri dahil olmak üzere değişen malignite risklerine sahip çeşitli patolojik durumlardan oluşur. Bu lezyonlar, sonraki meme kanseri gelişimi ile birlikte bulunabilir veya bu riski artırabilir. Tarama programlarının ve daha hassas görüntüleme tekniklerinin uygulanmasıyla, B3 lezyonlarının tanısı artmaktadır. Histolojik ayrımı için uzmanlık ve yönetimi için multidisipliner bir yaklaşım gerekmektedir. B3 lezyonlarının yönetimi yıllar içerisinde önemli ölçüde değişmiştir. Önceleri, malignite potansiyeline ilişkin belirsizlikler ve örnekleme yeterliliğine ilişkin endişeler nedeniyle cerrahi eksizyon standart iken modern tıptaki gelişmeler tanısal duyarlılığı artırmış ve daha doğru sınıflandırmaya olanak tanıyarak agresif yaklaşımlardan kaçınmayı, optimum takip ve tedaviyi kolaylaştırmıştır. Risk durumu, hasta tercihleri ve lezyon özellikleri göz önünde bulundurularak multidisipliner bir ekip tarafından kişiselleştirilmiş olarak yönetilmelidir. Aile öyküsünün varlığı meme kanserinde bilinen risk faktörlerindendir. Yüksek riskli proliferatif lezyonları olan ve ailesinde meme kanseri öyküsü bulunan bireyler için risk daha da artar ve genetik danışmanlık gerektirir. Doğru aile öyküsü dokümantasyonu, risk değerlendirmesine rehberlik ederek genetik analiz kararlarına yardımcı olur. Kalıtsal kanser sendromlarında, farkındalığın artırılması, zamanında tarama ve önleyici tedbirlerin risk ve faydalarını dikkate alan kişiselleştirilmiş yaklaşımlar gibi risk azaltıcı stratejiler benimsenmektedir. Bu bölümde memenin yüksek riskli lezyonlarında genetik faktörlerin önemi, genetik yöntemlerin tanıda kullanılması ve kalıtsal kanser sendromlarına yaklaşımdan bahsedilecektir.
Yüksek Riskli Lezyonlarda Radyoloji
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Radyoloji Ana Bilim Dalı, İstanbul, Türkiye, Kayadibi Yasemin , Aladağ Kurt Seda ,   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Radyoloji Ana Bilim Dalı, İstanbul, Türkiye
Published: November 2024

Memenin yüksek riskli lezyonları olan B3 lezyonlar, histopatolojik olarak malignite potansiyeli tam olarak bilinemeyen, malignite prekürsörü olmayan ancak saptandığı memede veya karşı memede malignite gelişme riskinin arttırdığını bildiğimiz diğer bir ifade ile “risk belirteci” lezyonları ifade etmektedir. Yüksek riskli lezyonlar arasında atipik duktal hiperplazi, lobüler neoplazi, flat epitelyal atipi, radyal skar, kompleks sklerozan lezyonlar, papiller lezyonlar, ve filloides tümör sayılmaktadır. Bu lezyonların spesifik bir görüntüleme bulgusu olmaması nedeniyle, tanı genellikle ultrasonografi, stereotaktik veya manyetik rezonans görüntüleme eşliğinde yapılan kesici iğne biyopsisi ile konmaktadır. Memenin yüksek riskli lezyonlarının yönetimi tartışmalıdır. Düşük riskli hastalarda aşırı tedavi uygulamasını önlemek amacıyla geniş terapötik bir yelpaze mevcuttur. Bu bölümde memenin yüksek riskli lezyonlarının görüntüleme bulguları, bu lezyonların olası takip ve güncel girişimsel radyolojik tedavi seçenekleri tartışılacaktır.
ÖZBEK ŞAİR OMON MATJON’IN “ZULFİYA” LİBRETTOSU
Authors: Giray Erhan , Akhmedova Shokhista
Published: November 2024

ÖZ
Omon Matjon, gazetecilik kimliğinin yanısıra Özbek edebiyatına uzun yıllar hizmet etmiş ünlü bir şair ve yazardır. Matjon, şiir, destan ve efsane gibi türler üzerine eserler yazar. 1978 yılında Özbek edebiyatının önemli simalarından olan şair Zulfiya İsrailova ve eşi şair Hamid Olimjon’ın hayatı ve sanatından hareketle bir opera eseri kaleme alır. Bu operanın bestesi ünlü müzisyen Rustemjon Abdullayev’e aittir. Eser sahneye konulduktan sonra Matjon’ın kişisel arşivinde unutulur. Arşiv araştırmaları sırasında opera eserinin librettosunu tespit ettik. Ancak operanın müzikal kısmına ulaşamadık. Matjon’ın “Zulfiya” librettosu, 29 sayfadan oluşan iki perdeli, lirizmin ön planda olduğu dramatik operadır. Matjon’ın, hem kendisinin şair olması hem de librettoyu ithaf ettiği Zulfiya’nin Özbek edebiyatına damga vuran bir şair olması nedeniyle şiirselliğe daha çok önem verdiğini söyleyebiliriz. Makalenin giriş kısmında, operanın dünyada ve Özbekistan’daki gelişimini, çalışmanın hacmini genişletmemek için kısaca açıkladık. Daha sonra Türkiye’de henüz eserleri üzerine çalışma yapılmayan Özbek şair ve yazar Matjon’ın hayatı ve sanatı hakkında bilgi verdikten sonra librettonun analizini yapmaya çalıştık. Amacımız hem Matjon’ı tanıtmak hem de arşivde unutulmuş önemli bir eser olan “Zulfiya” operasını -müzikal kısmı elimizde olmadığı için- librettoyu merkeze alarak yapı ve tema bakımından kişiler, olay örgüsü, zaman, dekor, dil ve üslup başlıkları altında değerlendirmektir.
Predicting trends in atmospheric CO2 across the Mid-Pleistocene Transition using existing climate archives
Authors: Martin Jordan R. W. , Pedro Joel B. , Vance Tessa R.
Published: November 2024

Abstract. During the Mid-Pleistocene Transition (MPT), ca. 1200–800 000 years ago (ka), the Earth's glacial cycles changed from 41 to 100 kyr periodicity. The emergence of this longer ice age periodicity was accompanied by higher global ice volume in glacial periods and lower global ice volume in interglacial periods. Since there is no known change in external orbital forcing across the MPT, it is generally agreed that the cause of this transition is internal to the Earth system. Resolving the climate, carbon cycle, and cryosphere processes responsible for the MPT remains a major challenge in Earth and palaeoclimate science. To address this challenge, the international ice core community has prioritised recovery of an ice core record spanning the MPT interval. Here we present results from a simple generalised least-squares (GLS) model that predicts atmospheric CO2 out to 1.8 Myr. Our prediction utilises existing records of atmospheric carbon dioxide (CO2) from Antarctic ice cores spanning the past 800 kyr along with the existing LR04 benthic δ18Ocalcite stack (Lisiecki and Raymo, 2005; hereafter “benthic δ18O stack”) from marine sediment cores. Our predictions assume that the relationship between CO2 and benthic δ18O over the past 800 000 years can be extended over the last 1.5 million years. The implicit null hypothesis is that there has been no fundamental change in feedbacks between atmospheric CO2 and the climate parameters represented by benthic δ18O, global ice volume, and ocean temperature. We test the GLS-model-predicted CO2 concentrations against observed blue ice CO2 concentrations, δ11B-based CO2 reconstructions from marine sediment cores, and δ13C of leaf-wax-based CO2 reconstructions (Higgins et al., 2015; Yan et al., 2019; Yamamoto et al., 2022). We show that there is no clear evidence from the existing blue ice or proxy CO2 data to reject our predictions or our associated null hypothesis. A definitive test and/or rejection of the null hypothesis may be provided following recovery and analysis of continuous oldest ice core records from Antarctica, which are still several years away. The record presented here should provide a useful comparison for the oldest ice core records and an opportunity for further constraints on the processes involved in the MPT.
Thermokarst lake change and lake hydrochemistry: A snapshot from the Arctic Coastal Plain of Alaska
Authors: Stolpmann Lydia , Nitze Ingmar , Bussmann Ingeborg , Jones Benjamin M. , Lenz Josefine , Meyer Hanno , Wolter Juliane , Grosse Guido
Published: November 2024

Abstract. The rapid climate warming is affecting the Arctic which is rich in aquatic systems. As a result of permafrost thaw, thermokarst lakes and ponds are either shrinking due to lake drainage or expanding due to lake shore erosion. This process in turn mobilizes organic carbon, which is released by permafrost deposits and active layer material that slips into the lake. In this study, we combine hydrochemical measurements and remote sensing data to analyze the influence of lake change processes, especially lake growth, on lake hydrochemical parameters such as DOC, EC, pH as well as stable oxygen and hydrogen isotopes in the Arctic Coastal Plain. For our entire dataset of 97 water samples from 82 water bodies, we found significantly higher CH4 concentrations in lakes with a floating-ice regime and significantly higher DOC concentrations in lakes with a bedfast-ice regime. We show significantly lower CH4 concentrations in lagoons compared to lakes as a result of an effective CH4 oxidation that increased with a seawater connection. For our detailed lake sampling of two thermokarst lakes, we found a significant positive correlation for lake shore erosion and DOC for one of the lakes. Our detailed lake sampling approach indicates that the generally shallow thermokarst lakes are overall well mixed and that single hydrochemical samples are representative for the entire lake. Finally, our study confirms that DOC concentrations correlates with lake size, ecoregion type and underlying deposits.
Leaping and vortex motion of the shock aurora toward the late evening sector observed on 26 February 2023
Authors: Nanjo Sota , Yamauchi Masatoshi , Johnsen Magnar Gullikstad , Yokoyama Yoshihiro , Brändström Urban , Ogawa Yasunobu , Willer Anna Naemi , Hosokawa Keisuke
Published: November 2024

Abstract. On 26 February 2023, a shock aurora triggered by an interplanetary shock (IP shock) was observed in northern Scandinavia at 21 MLT. Previously, ground-based observations of shock auroras have primarily been conducted on the dayside, where IP shocks hit. However, this study successfully observed the shock aurora on the nightside at 21 MLT. This is the first time the morphology of a shock aurora has been observed on the nightside using ground-based cameras. We introduce the observational results by four ground-based cameras and a magnetometer network in the northern hemisphere. Previous observations have shown that shock auroras consist of two types of optical signatures, i.e., diffuse and discrete auroras, with a few minutes of separation. In this study, three distinct signatures were observed with a few minutes lags: (1) a luminosity enhancement of an arc-shaped green aurora, (2) the appearance of red auroras, and (3) leaping of discrete auroras towards the nightside (antisunward) with a vortex-like structure. While red emissions have been previously observed in shock auroras, this is the first time undulating and jumping structures have been discovered. Comparison with equivalent currents estimated from the magnetometer network showed that the first luminosity enhancement occurred within one minute after the onset of the geomagnetic variation induced by the IP shock, so-called geomagnetic sudden commencement (SC), and the red aurora observed after the formation of upward field-aligned currents over northern Scandinavia. Furthermore, the propagation speed of the aurora in (3) had the same order as the solar wind speed in interplanetary space, as reported in previous studies. These newly identified morphological features of the shock aurora provide valuable insights into how current systems associated with SC propagate towards the nightside.
Short lifetimes of organic nitrates in a sub-urban temperate forest indicate efficient assimilation of reactive nitrogen by the biosphere
Authors: Andersen Simone T. , Sander Rolf , Dewald Patrick , Wüst Laura , Seubert Tobias , Türk Gunther N. T. E. , Schuladen Jan , McGillen Max R. , Xue Chaoyang , Mellouki Abdelwahid , Kukui Alexandre , Michoud Vincent , Cirtog Manuela , Cazaunau Mathieu , Bauville Astrid , Bouzidi Hichem , Formenti Paola , Denjean Cyrielle , Etienne Jean-Claude , Garrouste Olivier , Cantrell Christopher , Lelieveld Jos , Crowley John N.
Published: November 2024

Abstract. Alkyl nitrates (ANs) and peroxycarboxylic nitric anhydrides (PANs) are important reservoirs of reactive nitrogen that contribute significantly to the rate of formation and growth of secondary organic aerosols and support the transport of reactive nitrogen from polluted areas to remote areas. It is therefore critical to understand their sources and sinks in different environments. In this study we use measurements of OH, O3, NO3 reactivity, VOCs, ∑ANs and ∑PANs during the ACROSS campaign to investigate different production and loss processes of ANs and PANs in a temperate forest. At daytime OH-initiated processes were the dominant source of ANs (69–72 %) followed by NO3 (18–20 %) and O3 (8–12 %). At nighttime the contribution from OH decreased to 43–53 %, and NO3 increased to 26–40 % with that of O3 largely unchanged. Of the measured ∑PANs, 48–78 % was modelled to be peroxyacetic nitric anhydride (PAN). Physical loss (e.g. deposition) was an important sink for both ANs and PANs and contributed significantly to the very short lifetimes of 1.5 ± 1 h for ANs and 0.08–1.5 h for PANs observed during the campaign.
Development of an internet-of-things-based controlled-source ultrasonic audio frequency electromagnetic receiver
Authors: Lin Zucan , Zhang Qisheng , Zhou Keyu , Zhang Xiyuan , Wang Xinchang , Zhang Hui , Liu Feng
Published: November 2024

Abstract. Electromagnetic exploration, characterized by its low cost, wide applicability, and high operational efficiency, finds extensive applications in fields such as oil and gas exploration, mineral prospecting, and engineering geology. Traditional controlled-source electromagnetic detection methods are typically confined to operating frequencies below 250 kHz, resulting in insufficient detection accuracy for applications such as shallow- and intermediate-depth exploration, thereby constraining their performance in high-resolution imaging. To address these challenges, we propose a controlled-source ultrasonic audio frequency electromagnetic receive system based on the internet of things (IoT). We investigate cascaded digital filtering and sampling techniques to extend the receiver's sampling rate range, thereby elevating the operating frequency of controlled-source electromagnetic acquisition from the conventional maximum of 250 kHz to 1 MHz. The receiver achieves a sampling rate of up to 2.5 MHz, comprising three magnetic field measurement channels and two electric field measurement channels. The instrument is compact, lightweight, and capable of real-time data storage locally and real-time data transmission to an upper computer. Additionally, IoT technology is introduced, leading to the design of a cloud-based real-time remote control and data acquisition scheme. Experimental results demonstrate the stability of the instrument, meeting the requirements of field exploration.
Advancing Blue Carbon Knowledge: Leveraging Geomatics for Capacity Building through the BlueCARES Project
Authors: Martinez Kayziel , Blanco Ariel , Tamondong Ayin , Candido Christian , Nadaoka Kazuo
Published: November 2024

Abstract. Mangrove forests and seagrass meadows, collectively termed as blue carbon ecosystems (BCEs), play a pivotal role in carbon sequestration and climate mitigation. Blue carbon research enables advancing scientific knowledge and gaining insights into their current state, which is crucial for making informed decisions on its conservation and management practices. The Japan International Cooperation Agency (JICA) launched the “Comprehensive Assessment and Conservation of Blue Carbon (BC) Ecosystems and their Services in the Coral Triangle” or BlueCARES to pioneer joint research on blue carbon ecosystems and formulate conservation strategies at local and national levels. BlueCARES aims to establish a robust Blue Carbon Strategy and initiate the establishment of the Blue Carbon Network (BCnet), convening various stakeholders, including government agencies, local government units, academic institutions, and non-governmental organizations. BCnet organizes summits, workshops, and conferences to facilitate collaboration. Through capacity development initiatives, the project empowers stakeholders to actively engage in field surveys, conservation efforts, and the implementation of the Blue Carbon Strategy, even after the project concludes. This paper narrates the capacity-building engagements made by the Geomatics team, leveraging remote sensing and geospatial technologies to foster sustainable blue carbon management practices and ensure the long-term resilience of BCEs in the country.
Cartographic animations, a supporting technology for education
Authors: Obuhov Lev , Panidi Evgeny
Published: November 2024

Abstract. To date, basic theoretical and methodological ideas of animated cartography have been formed, as well as general schemes for animated maps compilation. However, the technological issue remains relevant in this domain due to the abundance of modern tools that can be used for compilation of animated maps. Particularly, most of currently implemented cartographic animation methodologies require the use of a variety of specialized software, including geographic information systems (GISs), vector and raster graphical editors, video effects editing software, and others. So the data processing and conversion techniques are extremely complicated in some cased, when data converted from one software platform to another.In our study, we established investigation of popular desktop GISs functionality application as a full-cycle animated cartography environment. In such a context, we discover approaches to improve methodology of animated maps automated compilation. To prototype a full-cycle animation in GIS environment, we developed a set of animation algorithms implemented in QGIS and documented the algorithms using UML (Unified Modeling Language) diagrams.
Impact of climate change on vegetation growth trends in a citrus farmland in the south-eastern Sicily
Authors: D'Urso Maria Grazia , Aldrighettoni Joel , Gautam Sanyukta , Liu Bingsai , Guo Xian
Published: November 2024

Abstract. The environmental repercussions of climate change triggered substantial alterations in existing ecosystem balances leading to a gradual reduction in biodiversity and the increasing degradation of soil and the built environment. This has a direct effect on agricultural production in particular, leading to increased crop water requirements, the spread of new pests and pathogens that are difficult to manage, and, thus, a general reduction in productivity. Through the analysis of multispectral data remotely sensed with latest generation of optical sensors (RGB, thermal, NIR and multi-spectral cameras), it is possible to recognize the health status and growth stages of crops. In fact, in relation to the amount of radiation reflected in the different bands it is possible to calculate spectral indices, or vegetation indices. The main vegetative indices are NDVI, SAVI, MSAVI2, GNDVI and NDRE, which are calculated by differentially combining the ultraviolet spectrum, the visible range, and the near and mid-infrared band.In this paper the outcomes of a multi-year monitoring of a citrus grove field near Rosolini (Syracuse), in south-eastern Sicily-Italy, are presented. This monitoring activity was conducted to highlight areas of productive greenery under stress, on which to act as a priority with specific agronomic interventions. In parallel with the direct monitoring phases of the citrus grove, the trend of average monthly and annual temperature and precipitation values over the past 24 years was also studied to more specifically contextualize the possible presence of significant variations in climatic trends and relate them to the results returned by the calculation of the indices.
ih-RIDME: a pulse EPR experiment to probe the heterogeneous nuclear environment
Authors: Kuzin Sergei , Syryamina Victoriya N. , Qi Mian , Fischer Moritz , Hülsmann Miriam , Godt Adelheid , Jeschke Gunnar , Yulikov Maxim
Published: November 2024

Abstract. Intermolecular hyperfine relaxation-induced dipolar modulation enhancement experiment (ih-RIDME) is a pulse EPR experiment that can be used to probe the properties of a nuclear spin bath in the vicinity of an unpaired electron. The underlying mechanism is the hyperfine spectral diffusion of the electron spin during the mixing block. A quantitative description of the diffusion kinetics being applied to establish the ih-RIDME data model allows to extend this method for systems with heterogeneous nuclear arrangements assuming a distribution of the local nuclear densities. The heterogeneity can stem from the solvent or the intrinsic nuclei of structurally flexible (macro)molecule. Therefore, the fitted distribution function can further serve for heterogeneity characterization, quantification and structure-based analysis. Here, we present a detailed introduction to the principles of the ih-RIDME application to heterogeneous systems. We discuss the spectral resolution, determination of the spectral diffusion parameters and influence of noise in the experimental data. We further demonstrate the application of the ih-RIDME method to a model spin-labeled macromolecule with unstructured domains. The fitted distribution of local proton densities was reproduced with the help of the Monte-Carlo-generated conformational ensemble. Finally, we discuss several pulse sequences exploiting the HYperfine Spectral Diffusion Echo MOdulatioN (HYSDEMON) effect with an improved signal-to-noise ratio.
How Social Identities Facilitate the Growth of Affective Political Polarization
Authors: Goodwin William , Tierney Claire , McKay Molly , Rajeev Amala
Published: November 2024

This study explored the relationships between a selection of social identity factors and affective political polarization among adults in the United States. A broad selection of literature was reviewed and employed in informing a descriptive and inferential statistical analysis of 2008 and 2020 American National Election Studies (ANES) survey data. Multiple regression was used to describe and quantify the relationships between selected variables and affective polarization within the datasets. These methods were paired with tests for differences in means in a comparative analysis of the 2008 and 2020 demographic and political environments, which revealed a statistically significant difference in the levels of affective polarization between the two years. Ideological polarization and ageing stood out as the factors that contributed most heavily to this this growth in affective polarization. Broadly, these findings suggested that demographic and psychographic shifts may have played a role in facilitating growth of affective political polarization across the years. Finally, a post-hoc analysis identified the growth of affective polarization as originating from increased hostility for political out-groups, highlighting the need for further research into other political, social, and economic events that may have triggered the growth of affective polarization.
Journey to the East: Faculty Spotlight with Michael Meyer
Authors: Fang Richard
Published: November 2024

A spotlight on Professor Michael Meyer.
Henrik Olesen: de la parodia a la imaginación de una historia del arte queer
Authors: Jiménez-Leciñena Javier
Published: November 2024

El presente artículo analizará la obra Some Gay-Lesbian Artists and/or Artist Relevant to Homo-Social Culture Between c.1330-1870 (2007) del artista danés Henrik Olesen que, partiendo del Atlas Mnemosyne de Aby Warburg, propone una crítica queer a los modos patriarcales y excluyentes de escribir historia del arte. Para ello, se desgranarán una serie de inercias que la disciplina reproduce con el objetivo de crear un relato único; al mismo tiempo, la obra utilizará estas mismas estrategias en clave paródica para sentar las bases de una historia del arte queer que las minorías sexodisidentes necesitan y merecen. Por otro lado, la obra propondrá, a través del acercamiento heterodoxo y anacrónico a las imágenes, nuevas maneras de relacionarnos con el arte desde el presente que parten del cuerpo activado y el deseo—entre otros—como instrumentos epistemológicos alternativos para escribir otros relatos posibles. En suma, este close reading de esta obra camina hacia un intento de imaginar críticamente presentes y futuros posibles a través del juego y la desarticulación queer de las temporalidades pasadas, ensayándose así una contra-historia del arte queer que construya genealogías queer propias a través de las cuales narrarnos.
The Silurian and the Devonian in the Svoge Unit, Western Bulgaria – a brief overview
Authors: Sachanski Valeri , Zareva Elitsa
Published: November 2024

Five stops, containing Silurian–Devonian strata of the Svoge Unit (Western Bulgaria) are described. At Stop 1 near the village of Tsarichina, Upper Devonian flysch (Katina Formation) can be observed, which ends the Paleozoic marine sedimentation in the area. The other two Devonian formations are observable at stop 2 near the village of Vlado Trichkov. These are the black shales of the Ogradishte Formation and the light shales of the Romcha Formation. At the village of Tseretsel (stop 3), all Silurian units are observed: the bedded cherts (lydites) of the Saltar Formation, the graptolite-bearing black shales of the Mala Reka Formation, and the grey to gray-green laminated shales of the Yabukov Dol Formation. The boundaries of the Silurian System, based on graptolites, were established at the next two stops, respectively at stop 4 the Silurian/ Devonian boundary and at stop 5 the Ordovician/Silurian boundary.
Low-diversity conodont and cephalopod assemblages from the Silurian of the Tinduf Basin, Western Sahara
Authors: Ferretti Annalisa , Serventi Paolo , Ferrari Giulia , Corriga Maria Giovanna , Corradini Carlo
Published: November 2024

A peculiar cephalopod slab collected in Western Sahara hosts almost monospecific cephalopod and conodont associations, preliminarily attributed to the Ludfordian based on the occurrence of Wurmiella sp. A Corriga et al., 2021. Arionoceras submoniliforme (Meneghini, 1857) dominates the nautiloid fauna that reveals a clear bimodal orientation. The microfacies analysis documents a cephalopod packstone associated with abundant skeletal elements coated by micrite. The origin and significance of this association are discussed and possibly interpreted as a post-Lau Event fauna, still deeply affected by the extinction event.
The Devonian of Western Canada Sedimentary Basin: enormous yet underused archive of outcrops and exploration wells for fundamental research
Authors: Kabanov Pavel B.
Published: November 2024

In its new expanded definition, the Western Canada Sedimentary Basin (WCSB) is the vastest intracratonic sedimentary basin in the World. Over 620,000 exploration wells, the majority drilled in Alberta and Saskatchewan, provide enormous archive of cores, geophysical logs, and cutting samples available at provincial and federal oil-and-gas regulator facilities. The Devonian succession is particularly thick and economic. This subsurface archive is supplemented by outcrops of the fringing Cordilleran ranges. This paper highlights recent developments in fundamental research made on the Devonian cores and outcrops, just to emphasize how much more can be done to expand our knowledge on the Earth-surface processes of the middle Paleozoic.
Ergenlerin İletişim Becerilerinin ve Öfke İfade Tarzlarının Değerlendirilmesi
Authors: Karakaya Cihangir , Başcıllar Mehmet
Published: November 2024

Amaç: Fiziksel, ruhsal, sosyal, bilişsel ve davranışsal gelişim noktasında son derece kritik bir evre olan ergenlik döneminde bireyin yaşantısında önemli değişimler meydana gelmektedir. Bu dönemde iletişim becerileri gelişmekte, ergenlik dönemine özgü sosyal koşullar öfke duygusuna yönelik hassasiyet gelişmesine yol açabilmektedir. Bu çalışma ergenlerin iletişim becerileri, sürekli öfke ve öfke ifade tarzı arasındaki ilişkiyi incelemeyi amaçlamaktadır.
Gereç ve Yöntem: Araştırmada nicel araştırma tasarımından yararlanılmış olup, araştırmanın örneklemini bir lisede öğrenim görmekte olan 136 ergen oluşturmaktadır. Veri toplama araçları olarak sosyo-demografik bilgi form, İletişim Becerilerini Değerlendirme Ölçeği ve Sürekli Öfke ve Öfke İfade Tarz Ölçeği kullanılmıştır.
Bulgular: Araştırma ergenlerin iletişim becerilerinin öfke ifade tarzlarına etkisine dair önemli bulgular barındırmaktadır. Çalışmada ergenlerin iletişim becerileri ve öfke ifade tarzları ile not ortalamaları arasında ilişki olduğu ortaya konmuştur. Kalınan yer ve kendine ait odası olma ile duygusal iletişim becerileri arasında anlamlı bir ilişki bulunmuştur. Not ortalaması ile zihinsel, davranışsal iletişim becerileri alt boyutları ve iletişim becerileri toplam puanı arasında pozitif yönlü, not ortalaması ile öfke içe vurumu ve öfke dışa vurumu alt boyutları arasında negatif yönlü anlamlı bir ilişki bulunmaktadır. İletişim becerileri toplam puanı ile öfke dışa vurumu arasında negatif yönlü, iletişim becerileri toplam puanı ile öfke kontrolü arasında pozitif yönlü anlamlı bir ilişki bulunmaktadır.
Öneriler: Araştırma bulguları etkili ve kanıta dayalı okul sosyal hizmeti uygulamalarının gerekliliğini ortaya koymaktadır. Ayrıca okul ruh sağlığı hizmetleri kapsamında ergenlerin iletişim becerilerini artırmaya yönelik çalışmalar yapılmalıdır.
AI-Driven Fraud Detection in Banking: Enhancing Transaction Security
Authors: Sabareesh R
Published: November 2024

An important step forward in risk management and fraud detection has been achieved with the integration of Artificial Intelligence (AI) in the banking sector. In this paper, we take a look at how AI has revolutionized various fields, shedding light on the benefits and drawbacks of this technology.  The effects of AI on risk management are complex. More complex credit risk assessment models are made possible by algorithms that can see patterns in massive datasets that people might miss. When it comes to market and liquidity issues, real-time transaction monitoring is absolutely essential for quick risk mitigation. Automating compliance with regulatory norms is another critical function of AI, which helps to decrease human mistake and assures quick adaptability to changes in regulations. The automation of mundane processes and the reinforcement of cybersecurity measures further reduce operational risks. By examining client behaviour and transaction data, enhanced algorithms may adeptly spot anomalies that could indicate fraud. Artificial intelligence's capacity to foresee future events enables it to foil possible fraud attempts. The systems are designed to respond to changing fraudster strategies with its adaptive learning feature.