bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Barriers in Passing the Licensure Examinations Among Education Graduates
Authors: Rebato Mercado Henry Alwayne , Hingpis Aruta Mary Grace , Morante Lydia Moraleta , Gervacio Bryan Hayahay , Alfarero Joel Alambra , Palompon Rex Baribe
Published: February 2025

Several concerns from previous studies were regarded as potential reasons in failing the national licensure examination for teachers (LET) particularly in State Universities of Eastern Visayas, Philippines. In this study, the authors explored the experiences and identified the potential causes in the success of aspiring teachers in the licensure examination. The study utilized a case study method to uncover the unique experiences of ten (10) participants who are education graduates and non-LET passers. Data were gathered through in-depth interviews and analysed using thematic analysis. Results indicated that education graduates experienced issues such as test-anxiety, pressure, overconfidence, insufficient education foundation, alongside financial burden, personal responsibilities and difficulties in managing time that prevented them from passing the test. The interplay of these concerns as determined by informants hindered their success in the licensure examination. Addressing these problems, educational institutions may introduce programs for anxiety management and test-taking tactics and offer financial aids and subsidies for those with financial issues. Moreover, comprehension skills enhancement programs may be considered to improve the cognitive skills of the education graduates and students. Regular review of the curriculum and updating of course syllabi to confirm alignment with the standards in the licensure examination for teachers must be ensured.
Tomato Leaf Disease Detection with YOLOV8 Leaf Extraction, Resnet-50 Classification, and Gpt-3.5 for Treatment Recommendations
Authors: Korade Nilesh B , Salunke Mahendra B , Bhosle Amol A , Asalkar Gayatri G , Joshi Dhanashri M , Patil Aparna S , Sangve Sunil M
Published: February 2025

India produces 20 million metric tons of tomatoes annually, with 150,000 metric tons being exported to international markets. India ranks as the leading producer and exporter of tomatoes globally, and tomato farming has a significant contribution to India's agricultural economy, with millions of farmers relying on tomato farming for their livelihood. Tomatoes are in high demand during the summer, but cultivating them at this time of year is challenging because the hot climate increases the susceptibility to numerous diseases. In this study, we collected 5250 images of tomato leaves suffering from seven distinct diseases. We identified regions of interest, such as leaves, using the YOLOv8 framework for object detection and passed these to the ResNet-50 model for classification. Using classification assessment metrics, the effectiveness of this framework was evaluated and compared with other deep learning architectures, such as CNN, AlexNet, VGG-19, and EfficientNetV2B7. We provide optimal treatment recommendations based on disease identification using a comprehensive disease treatment dataset, along with detailed explanations through GPT-3.5. The results demonstrate that YOLOv8 performs well in precise and real-time recognition of objects, making it extremely efficient for detecting regions of interest such as tomato leaves, while ResNet-50's deep architecture boosts disease classification accuracy by effectively distinguishing between various tomato diseases based on extracted features. Together, they form a powerful framework for accurate tomato disease prediction.
An assessment of the potential, protectivity capacity, and corporeal characteristics of littoral hydro-geological strata in a densely populated residential zone located in Akwa Ibom State, Southern Nigeria.
Authors: Ekanem Kufre , Ikpe Emem
Published: February 2025

By integrating geological data with geoelectrical resistivity technology (GRT), the hydrokinetic properties, protective capacity, and groundwater potential of a prospective housing development in Southern Nigeria were ascertained. The GRT utilized 1-D vertical electrical resistivity sounding (VES) and 2-D electrical resistivity tomography (ERT) techniques developed by Schlumberger. By integrating the primary and secondary geoelectric indices with preexisting geological data, hydrodynamic parameter maps of the shallowest aquifer unit were computed. The maps play a critical role in facilitating effective management of the highly exploited unconfined aquifer system beneath the region. In order to determine the saturation dynamics of the study area, an analysis of numerous factors was conducted. The aforementioned variables comprised the range of specific yield (0.040 to 0.107), field capacity/specific retention (0.242 to 0.623), and storage-dependent drainability efficiency (7.5 to 40.5%). Total porosity varied between 0.282 and 0.691. The results of the study indicated that the region attains maximum pore water drainage when the drainability efficiency, which is influenced by the level of storage, exceeds 21%. The potential index parameters, including hydraulic conductivity (57.4–4339.2 m/day), transverse resistance/aquifer potential scale (453.6–152,756.5 ?m2), and transmissivity (57.4–4339.2 m2/day), exhibited encouraging potential; however, their protection was only moderate, as evidenced by the longitudinal conductance index (0.004–0.6218 Siemens). It is critical to implement effective waste management systems in this rapidly developing and competitive residential area in order to meet the high demand for housing. Implementing this measure will aid in the prevention of hazardous substances, including leachates and other forms of organic and inorganic waste, from infiltrating and seeping into vulnerable underground water sources that provide water for diverse purposes.
Generative AI: Mitigating Workforce and Economic Disruptions While Strategizing Policy Responses for Governments and Companies
Authors: Satyadhar Joshi
Published: February 2025

A Systematic Review of AI’s Impact on the Labor Market: Challenges, Opportunities, and Future Directions is discussed in this work. The widespread adoption of artificial intelligence (AI) technologies is transforming industries, leading to significant changes in the labor market. This paper explores the effects of AI on job displacement, economic growth, and workplace productivity. We discuss how companies and governments are responding to these changes through policy interventions and the need for upskilling to mitigate risks associated with AI automation. The rapid advancement of artificial intelligence (AI), particularly generative AI, has sparked significant debate about its impact on the labor market. While AI promises to enhance productivity and create new opportunities, concerns about job displacement, inequality, and ethical implications persist. This paper presents a systematic review of the current literature on AI’s impact on employment, focusing on the challenges, opportunities, and future directions. We analyze key trends, including the potential for job displacement, the role of AI in reshaping industries, and the need for policy interventions to mitigate risks. Our findings highlight the dual nature of AI as both a disruptor and an enabler, emphasizing the importance of proactive measures to ensure equitable outcomes in the evolving labor market. Navigating the AI Revolution: Challenges, Opportunities, and Solutions for the Future of Work is an area that is discussed
Pigmented Conjunctival Lesions
Authors: Dębicka-Kumela Magdalena , Kowal Joanna , Nowak Agnieszka , Gerba-Górecka Karolina , Nowak Dagmara , Mackiewicz Natalia , Romanowska-Dixon Bożena
Published: February 2025

Pigmented conjunctival lesions include nevi, primary acquired melanosis (both with and without atypia), and the rarest form, conjunctival melanomas. In cases of lesions suspected of malignant transformation, the treatment of choice is radical surgical excision. If melanoma is confirmed, additional local treatments are often employed, including chemotherapy, immunotherapy, or radiation therapy. In the diagnosis of conjunctival melanoma, it is beneficial to use the pattern analysis algorithm.
Principles of Management of Patients after Uveal Melanoma Radiotherapy in Ophthalmic Practice
Authors: Kowal Joanna , Dębicka-Kumela Magdalena , Nowak Agnieszka , Gerba-Górecka Karolina , Nowak Dagmara , Romanowska-Dixon Bożena
Published: February 2025

The most commonly used treatment for uveal melanoma is radiotherapy. In the months directly following irradiation, patient management should focus on controlling uveitis and monitoring intraocular pressure, alleviating pain, and preventing postoperative infections. If exudative retinal detachment occurs, surgical intervention is not recommended. The detached retina typically reattaches spontaneously as the tumor regresses and vascular leakage diminishes. In cases of choroidal detachment, patient observation is sufficient. For late post-radiation complications, such as retinopathy, neuropathy, and post-radiation maculopathy, treatment with anti-VEGF injections into the vitreous chamber is indicated. Initial therapy consists of three injections at two-month intervals, with continued anti-VEGF treatment as necessary, based on the patient’s response. Cataract surgery is also recommended, when clinically indicated.
Effects of pornography consumption on the mental health of adolescents: a literature review
Authors: Polo Cobos Moisés , Cabello Triguero Carmen María , Ruiz Vera Jesús
Published: February 2025

Introduction: In today's digital era, access to pornography has increased, prompting several governments to regulate minors' access to this content. This literature review explores the relationship between pornography consumption and mental health issues in adolescents, aiming to synthesize the evidence and guide future public policies.

Methods: A bibliographic review was conducted following the PRISMA methodology. The literature search was carried out in databases such as PubMed, Scopus, Embase, WoS, and CINAHL. Articles published between 2019 and 2024 were included.

Results: Out of 236 identified articles, 10 studies were finally included in the review. The findings reveal a significant association between pornography exposure and an increase in depressive symptoms, anxiety, and risky sexual behaviors. Variations were also observed based on gender and cultural context.

Conclusions: Watching pornography has a negative impact on adolescents' mental health, especially when exposure to such content is intentional. Future research should continue exploring the neurophysiological mechanisms of pornography addiction, new diagnostic methods, and ways to reduce reporting bias. It is crucial to develop sexual education programs that enable adolescents to safely manage exposure to this type of content and to review public policies.
Resistência e Poesia Negra: uma Leitura de “Poemas da Recordação e outros Movimentos”, de Conceição Evaristo
Authors: Lopes Ester Ferreira , Sérvulo Bruno
Published: February 2025

This article aims to analyze Conceição Evaristo’s contribution to Afro-Brazilian literature, highlighting her representation of Afro-Brazilian identity and the social, racial, and gender issues present in her works. The research was conducted through a bibliographic review, which included books, academic articles, and interviews with the author. The analyses focused on Conceição Evaristo’s work Poemas da recordação e outros movimentoes (2017), focusing on the way in which her texts, especially her poems, address the experience of black women in contemporary Brazil. The aim is to highlight how the author uses literature as a tool of resistance and empowerment, promoting a critical reflection on racial and social inequalities. The study aims to contribute to the appreciation of Afro-Brazilian literature and to increase the visibility of Afro-descendant voices in literary production. Conceição Evaristo is a central figure in contemporary literature, whose works challenge stereotypes and promote cultural diversity. Her writing not only enriches Brazilian literature, but also represents a powerful means of fighting for and affirming black identity, offering new perspectives on the social reality of Brazil. This research is based on possible readings, interpretations from a point of view in which racial prejudice and the injustices suffered by black female bodies will be the basis of discussion, in line with Conceição Evaristo’s poetic construction. The aim was, albeit minimally, to provide a sensitive reading that is not exhaustive, but rather prompts new analyses.
The Influence of Cutting Parameters on Economic and Quality Factors of the Turning Machining Process
Authors: SKOWRONEK Hubert , KOŁODZIEJ Marek
Published: February 2025

The article presents the subject of machining of a C55 carbon steel shaft by turning. The test workpiece was divided into six sections of equal width. After processing, measurements of the geometric structure were carried out. The impact of changing cutting parameters on machining time, manufacturing costs and the quality of the surface layer represented by the surface roughness parameter Ra was examined. The influence of cutting speed and tool feed on the quality and processing time was examined. As a result of the analysis, optimal roughing, shaping and finishing machining parameters were proposed in terms of manufacturing costs and product quality.
Economic Aspects of Using Different Strategies for Rough Turning of Wide Grooves Based on the Measurement of Cutting Force Components
Authors: KOLODZIEJ Marek , SKOWRONEK Hubert
Published: February 2025

The trochoidal method is a grooving method used for machining wide grooves in CNC machine tools. The main objective of this work was to analyze the financial benefits of using individual strategies. The results of the calculation were presented in the form of a report for cutting tools with different strategies, differing mainly in tool life. The analysis of cutting forces allowed us to present the method as the best in terms of generating cutting forces. First, manufacturing costs for the strategy that generated the lowest cutting forces are compared, and then they were compared with the other strategies (plunge and dynamic). In relation to the plunge strategy, the use of the strategy allowed the reduction of the unit machining cost by as much as 40%. The tool cost per product series decreased from €2.75 per tool in plunge machining to €1.65 in trocoid machining.
SECONDARY TRAUMATIC STRESS DAN REKONSILIASI TOKOH UTAMA NOVEL MALAM SERIBU JAHANAM KARYA INTAN PARAMADITHA
Authors: Sari Nita Puspita , Kristianti Yuliana , Mashud Mashud
Published: February 2025

In addition to threatening global security and social stability, terrorism also has significant psychological and sociological impacts. The psychological impact does not only occur with the victim's family but also with the perpetrator's family. Focusing on the main character, Mutiara, as the family of the terrorist perpetrator, this research aims to reveal the psychological and sociological impacts as well as Mutiara's reconciliation efforts to survive amidst the bondage of sin and her accountability to society. This research is a descriptive qualitative research. This research will focus on the main character, Mutiara. The approaches used are characterization from M.H Abrams, the concept of Secondary Traumatic Stress (STS) from Charles R. Figley, and the idea of acting out and working through Dominick LaCapra. The results of this study found that the traumatized character experienced secondary trauma which resulted in psychological disorders and severe depression. The main character experiences acting out and working through his life process. The action of working through is used as a strategy to reconcile the trauma she experienced. Pearl's experience in the family of a terrorist is a "middle voice" of "the other’s story" of the terrorism case. However, in MSJ, there is an imbalance in the presentation of the narrative for the victim's family. Instead of providing a space for balance, the novel is too didactic and romanticizes the emotional conflict of the families of terrorists.
PERAN SOSIAL MEDIA INSTAGRAM SEBAGAI MEDIA KOMUNIKASI BISNIS DALAM PENINGKATAN PENJUALAN UMKM VOI CHURROS DI KOTA PEMATANGSIANTAR
Authors: Fidia Chairany Sitorus  , Elsa Dameria Naibaho  , Muzfirah Filzah  , Fahri Irfarizki Siregar  , Dian G Purba Tambak
Published: February 2025

This study aims to analyze the role of Instagram as a business communication medium in increasing the sales of VOI Churros, an MSME in Pematangsiantar City. The findings reveal that VOI Churros effectively utilizes Instagram features such as feeds, Reels, Stories, Highlights, collaborations with micro-influencers, and Instagram Insights. These strategies enhance brand visibility, expand audience reach, and foster strong customer interactions. Engaging visual content and creative promotions successfully attract consumer interest, while analytical tools optimize marketing campaigns. The use of Instagram has proven to positively impact sales, with up to a 20% increase in certain promotional campaigns. Moreover, seamless communication with customers through this platform builds loyalty and expands the market reach, even beyond Pematangsiantar. The effectiveness of this strategy is not solely determined by the platform itself but also supported by the quality of products and services provided. This study concludes that Instagram is an efficient marketing tool for VOI Churros to reach a wider market, improve customer engagement, and significantly drive sales growth. Consistent and well-planned strategies are crucial to maintaining this success in the future.
Mitigating Hail Overforecasting in the 2-Moment Milbrandt-Yau Microphysics Scheme (v2.25.2_beta_04) in WRF (v4.5.1) by Incorporating the Graupel Spongy Wet Growth Process (MY2_GSWG v1.0)
Authors: Hua Shaofeng , Chen Gang , Chen Baojun , Li Mingshan , Xu Xin
Published: February 2025

Abstract. Hail forecasting using numerical models remains a challenge due to the uncertainties and deficiencies in microphysics schemes. In this study, we assessed the hail simulation performance of the 2-moment Milbrandt-Yau (MY2) microphysics scheme within the Weather Research and Forecast (WRF) model by simulating three heavy rainfall events in Meiyu systems in which hail was rarely observed, rather than focusing on hail cases as done in previous researches. Simulation results showed that MY2 scheme produced noticeable hail in these rainstorms. Further analysis revealed that the overprediction of hail was caused by the imperfect graupel-to-hail conversion parameterization method adopted in the MY2 scheme. By incorporating the graupel spongy wet growth process, the modified scheme significantly mitigated the hail overforecasting. Moreover, the modified MY2 scheme kept the ability to simulate hail in real hail cases, demonstrating its ability to differentiate between heavy rainfall and hail events—a distinction the original scheme lacked. By comparing simulations of both rainstorms and hailstorms, it is concluded that the upward transport of large raindrops near the 0 °C level is critical for the graupel-to-hail conversion.
TROPOMI Level 3 tropospheric NO2 Dataset with Advanced Uncertainty Analysis from the ESA CCI+ ECV Precursor Project
Authors: Glissenaar Isolde , Boersma Klaas Folkert , Anglou Isidora , Rijsdijk Pieter , Verhoelst Tijl , Compernolle Steven , Pinardi Gaia , Lambert Jean-Christopher , Van Roozendael Michel , Eskes Henk
Published: February 2025

Abstract. We introduce the new ESA Climate Change Initiative TROPOspheric Monitoring Instrument (TROPOMI) global monthly Level 3 (L3) dataset of tropospheric nitrogen dioxide (NO2) for May 2018 to December 2021. The dataset provides spatiotemporally averaged tropospheric NO2 columns, associated averaging kernels and L3 uncertainties at spatial resolutions of 0.2°, 0.5°, and 1.0° on a monthly timescale (https://doi.org/10.21944/CCI-NO2-TROPOMI-L3). To improve our understanding of what fraction of the L2 uncertainty cancels when averaging over space or time (i.e. the random component of the L2 uncertainty) and what fraction persists despite the averaging (systematic component), we first determine spatial and temporal error correlations for all sources of uncertainty in the L2 retrieval. Spatial error correlations arise from the stratosphere-troposphere correction, and from coarse-gridded albedo climatologies used in the L2 air mass factor calculation. We find the temporal error correlation in both the stratospheric uncertainty and the air-mass factor uncertainty to be 30 %. Using these estimates, the L3 uncertainty budget has been established for every grid cell based on input L2 uncertainties and new methods to estimate spatial and temporal representativeness uncertainties and to propagate measurement uncertainties through space and time. The total relative uncertainty in the resulting Level 3 dataset is in the range of 15–20 % in polluted areas, which is significantly lower than in separate Level 2 orbit retrievals, and brings the tropospheric NO2 data to within the GCOS "goal" and "breakthrough" requirements. Validation of the (sub-)columns confirms better correlation and reduced dispersion in the differences between satellite and ground-based reference data for the L3 data w.r.t. the underlying L2, albeit with a more pronounced negative bias in the tropospheric columns at pollution hot spots, most probably related to stronger spatial smearing.
Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study
Authors: Banerjee Chayan , Nguyen Kien , Fookes Clinton , Hancock Gregory , Coulthard Thomas
Published: February 2025

Abstract. In geosciences, including hydrology and geomorphology, the reliance on numerical models necessitates the precise calibration of their parameters to effectively translate information from observed to unobserved settings. Traditional calibration techniques, however, are marked by poor generalizability, demanding significant manual labor for data preparation and the calibration process itself. Moreover, the utility of machine-learning-based and data-driven approaches is curtailed by the requirement for the numerical model to be differentiable for optimization purposes, which challenges their generalizability across different models. Furthermore, the potential of freely available geomorphological data remains underexploited in existing methodologies. In response to these challenges, we introduce a generalizable framework for calibrating numerical models, with a particular focus on geomorphological models, named Iterative Model Calibration (IMC). This approach efficiently identifies the optimal set of parameters for a given numerical model through a strategy based on a Gaussian neighborhood algorithm. Through experiments, we demonstrate the efficacy of IMC in calibrating the widely used landscape evolution model CAESAR-Lisflood (CL). The IMC process substantially improves the agreement between CL predictions and observed data (in the context of gully catchment landscape evolution), surpassing both uncalibrated and manual approaches.
The discontinuous Galerkin coastal and estuarine modelling system (DGCEMS v1.0.0): a three-dimensional, mode-nonsplit, implicit-explicit Runge–Kutta hydrostatic model
Authors: Chen Zereng , Zhang Qinghe , Ran Guoquan , Nie Yang
Published: February 2025

Abstract. Numerical method of discontinuous Galerkin (DG) discretization for coastal ocean modelling have advanced significantly, but there are still challenges in accurately simulating phenomena such as wetting and drying process and baroclinic flows in coastal and estuarine regions. This study develops a novel 3D coastal and estuarine modelling system, DGCEMS, using a quadrature-free nodal DG method. The model adopts σ-coordinates, employs a non-split mode framework, and integrates a semi-implicit Runge–Kutta scheme with second-order accuracy in both space and time. A series of numerical experiments demonstrate the model’s second-order convergence, low spurious mixing, and capability to simulate salt-freshwater interactions in the presence of wetting and drying boundaries.
Challenges of online publishing. digital preservation of historical photographs
Authors: Papp Viktor
Published: February 2025

In Hungary, many public collections, such as libraries, museums, archives, and university archives, also have collections of photographs. And in recent years, the system of photo collections provided by private entrepreneurs has been very successful, but they operate and provide services on completely different principles than public collections, which are subject to legal requirements. The National
Széchényi Library (Budapest), which is the national library in Hungary, has been preserving photographs from the early days of photography, from the 1850s and 1860s onwards. However, the photo collection within the library, officially called the Historical Photograph and Interview Collection, was only established in 2008. From this date of foundation, many things follow. First and foremost, the photographs and photo albums within the library are not confined to the Photographic Collection, a significant number
of them are in the Manuscript Collection or the Theatre History Collection, for example. In any case, the Photographic Collection can boast a large number of document types that can only be found and researched in this collection. The Photographic Collection includes socio-photographs and abstract photographs by contemporary artists, tens of thousands of glass negatives on architectural subjects, slide films from the second half of the 20th century, and of course photographs from the nineteenth century [Sárközy, 2022, 600-601]. All in all, the Photographic Collection contains nearly 600,000 miscellaneous photographs.
From Boardrooms to Markets: Understanding the Influence of Governance, Structure on Stock Performance
Authors: Fatima Aabroo , Jamil Muhammad
Published: February 2025

The research aims to explore the relationships between structural dynamics, management and conduct within stock markets, external governance factors and stock market performance. We have collected secondary data of fifty-nine countries spanning from 1995 to 2021 have been studied. We have employed Fixed Effect Model and Arellano Bond Estimation accounting  endogeneity concerns. The study concluded that previous year stock market performance is positively related with current year performance. Structure of stock markets, internal governance, individual using internet and external governance indicators except rule of law have positive and significant relation with stock market performance. Regulatory business environment, governance practices and easy access of knowledge to public improves the stock market performance. The study found that institutional quality, enhanced stability in politics and less corruption should be kept in prime focus by policy maker. Facilities like internet access make public more aware of stock market dynamics and improves the participation of public in stock markets. The previous year performance of market, result in an outlook which increase the expectations of investors for businesses and triggering further positivity in the market. This leads to anticipation regarding the trend that this behavior will continue, and it results in increasing returns. Findings of the research provide valuable insights for market regulators and policymakers seeking to promote stability in financial market and foster sustainable economic growth.
MECHANISMS OF GOVERNMENT SUPPORT FOR THE ECONOMIC COMPETITIVENESS OF UKRAINE IN THE CONDITIONS OF GLOBALIZATION
Authors: Sokol O.
Published: February 2025

The article examines current mechanisms of state support for the economic competitiveness of Ukraine in the context of globalization challenges. Based on a complex analysis, the key areas of improvement of the state policy in the sphere of increasing the competitiveness of the national economy have been determined. Particular attention is paid to institutional reforms, digital economy development, infrastructure modernization, and innovation potential strengthening. The specifics of the transformation of state support mechanisms in the conditions of European integration and the digital transformation of global markets have been studied. The state's role in forming a favorable business environment, stimulating export activity, and developing human capital is analyzed. The priority directions for improving state support mechanisms have been identified, considering the international experience and national features of economic development. Recommendations for strengthening Ukraine's competitive position on world markets through the implementation of complex state support mechanisms covering institutional, innovative, infrastructural, and socio-economic aspects of development are proposed.
ABROAD EXPERIENCE OF THE FORMATION AND IMPLEMENTATION OF STATE ENERGY POLICY: THEORY, METHODOLOGY, PRACTICE
Authors: Maistro S. , Treskov A.
Published: February 2025

The article examines the foreign experience of the formation and implementation of state energy policy. The theoretical and methodological principles of the formation and implementation of the state energy policy in different countries of the world have been determined. The peculiarities of various practical approaches to the formation and implementation of state energy policy abroad are determined. The ways of improving the state energy policy of Ukraine are outlined, taking into account the existing foreign experience and in the conditions of modern challenges and threats.
CONCEPTUAL PRINCIPLES OF FORMING A PUBLIC ADMINISTRATION SYSTEM IN THE SPHERE OF CIVIL DEFENSE IN UKRAINE IN THE CONDITIONS OF ENSURING NATIONAL SECURITY
Authors: Kozyra I.
Published: February 2025

The conceptual principles of the formation of public administration in the field of civil protection in Ukraine from the perspective of ensuring its national security have been studied. It has been revealed that the concept of risk is becoming relevant today, this conclusion was made in view of the increasing number of challenges to national and civil security in Ukraine, which are transformed into dangers, posing a threat to the life and health of its population and the territories in which it lives. It is emphasized that the Concept of Risk Management of Emergencies of a Technogenic and Natural Nature was adopted in 2014, and it requires updating in view of the growing number of threats to the civil security of Ukraine. In addition, the structure of the public administration system in the field of civil protection has been studied, which allowed us to systematize the principles and tasks of public administration in this area. We recommend that they be included in the updated Concept of Risk Management of Emergencies of a Technogenic and Natural Nature, also focusing on military emergencies.
Anomaly Detection: Usage of Cheetah Optimizer Algorithm with Variational Autoencoder Classifier
Authors:   Omnichannel Analytics Manager, Leander, USA, Bansal Ankit
Published: February 2025

Anomaly detection in surveillance video involves identifying unusual or abnormal patterns within video data. This technique is widely used for detecting incidents such as accidents and theft. To automate anomaly detection, Machine Learning (ML) algorithms are employed. However, traditional ML methods have struggled to achieve high accuracy. To address this issue, this paper proposes an Improved Cheetah Optimizer (ICO) Algorithm combined with a Variational Autoencoder (VAE) classifier. The UCSD Anomaly Dataset is used to train the model, with data pre-processed using normalization and temporal smoothing techniques. Feature extraction is then performed to serve as input for the classification process, reducing the dimensionality of video frames and enhancing classification effectiveness. The ICO algorithm mimics cheetah hunting strategies to identify distinctive patterns, textures, and anomalies in the video frames. The VAE classifier, based on an encoder-decoder architecture, maps input data through the encoder to capture the most relevant features. Experimental results demonstrate that the proposed ICO-VAE method outperforms existing approaches on the UCSD Anomaly Dataset, achieving improved accuracy in anomaly detection.
Assessing the Nigerian Diaspora Media Influence in the Homeland Media Turf: Complementary or Alternative Roles
Authors: Apejoye Adeyanju
Published: February 2025

This paper examines the roles of online diaspora news media within the homeland media space in Nigeria, ascertaining whether the online diaspora news media represents an alternative news platform to the homeland audience. Also, it investigates whether the diaspora media's reportorial style and news processing differ from the homeland mainstream media system. The study adopts semi-structured interviews and qualitative content analysis for its methodology. The sample population for the semi-structured interview consists of twenty-seven respondents selected through the purposive sampling technique. For the content analysis, sixty-eight news stories from six news outlets, including diaspora and homeland online media platforms, were analysed. Findings highlight marked differences in the form, structure, and ethical approach of diaspora news and mainstream homeland media. Also, the study results show that citizens view the diaspora news sites as platforms that break and provide information the mainstream media may not report due to political interference and other operational restraints. In addition, the diaspora provides a discursive sphere for citizens to debate public matters freely without the stringent moderation mechanisms of mainstream media.
3-Prime Near-rings involving right n-derivations
Authors: Farhan Enaam
Published: February 2025

In this paper we will investigate the commutativity in prime near-rings admitting right n-derivation, which satisfy appropriate algebraic conditions on semigroup ideals of the near-rings.
New generalized results of (A,)-expansive operators on Hilbert spaces with practical comparison
Authors: Karimi Lotfollah , Samei Mohammad Esmael , Kaabar Mohammed K. A.
Published: February 2025

In this research, we obtain some result related to a category of linear bounded operators, which is known as $(A, m)$-expansive operators acting on infinite dimentional Hilbert space. Moreover, we provide sufficient conditions which $(A, m)$-expansive operators are not supercyclic. We also supply some spectral properties of $(A, m)$-expansive operators. Some examples are discussed, too.
Complementary degree equitable sets in graphs
Authors: Muthusubramanian L. , Sundareswaran Raman , Swaminathan V.
Published: February 2025

Let $G=(V,E)$ be a simple graph. The concept of equitability was first introduced by W.Meyer.\cite{Mew} . A proper colouring is called equitable if the cardinalities of any two colour classes differ by one. Inspired by this concept, E.Sampathkumar formulated degree equitability. Two vertices in a simple graph are said to be degree equitable if the difference of the degrees of the two vertices differ by one. This concept of degree equitability was used to develop degree equitable sets, degree equitable domination and its variations and equitable colouring in \cite{Ani1, Ani2, vsn,Lak,muthu}. A subset $S$ is said to be complementary equitable if for any $u,v \in V-S, |deg(u)-deg(v)| \leq 1$. In this paper, a study of complementary degree equitable sets is initiated.
Performance Analysis of a Rotor Flux-Oriented Control in Induction Traction Motor
Authors:   University of Craiova, Tudor Mătușa , Mihaela Popescu ,   University of Craiova, Alexandru Bitoleanu ,   University of Craiova, Constantin Vlad Suru ,   University of Craiova
Published: February 2025

The superiority of using field-oriented control in electric drive systems based on induction motor has been proven over the years. To increase efficiency, maintainability, reliability and dynamic performance, modern electric traction systems use induction motors. In this context, this paper is focused on the performance determination and analyzing of the rotor flux-oriented control with voltage control, on an induction traction motor, in order to its implementation. First, the control scheme and calculation fundamentals are presented. Then, after the entire system modeling in Simulink environment, the performance of the system in dynamic and steady-state regimes is presented by simulating the operation of a real traction motor at three prescribed speeds. Also, a specific phenomenon of electric locomotives, respectively the passage of wheels over the rail joints is taking into account. To determine the performances, the results obtained from simulating the acceleration process by prescribing a speed ramp, operating in steady-state regime and then electric braking with energy recovery were analyzed. In the paper, three situations are presented: the prescription of a low speed, about 20 % of the nominal speed, of the highest speed, about 160 % of the nominal speed and of three speed steps up to the nominal speed. The analysis of the results leads to the conclusion that there is a very accurate tracking of the prescribed quantities by the actual quantities controlled in the system. It is also highlighted that the peak current through the motor does not exceed its limiting value and the switching frequency of the power electronic devices is lower than the imposed limit value. The analysis of steady-state performance shows that it is also very good.
Performance Comparison of Ensemble Classifiers Algorithms Used in Transformer Fault Detection
Authors:   National Institute for Research, Development and Testing in Electrical Engineering - ICMET Craiova, Maria-Cristina Nițu , Ancuța-Mihaela Aciu ,   National Institute for Research, Development and Testing in Electrical Engineering - ICMET Craiova, Marcel Nicola ,   National Institute for Research, Development and Testing in Electrical Engineering - ICMET Craiova, University of Craiova, Claudiu-Ionel Nicola ,   National Institute for Research, Development and Testing in Electrical Engineering - ICMET Craiova, University of Craiova
Published: February 2025

Power transformers are essential elements in the production and distribution of electricity, and keeping them in optimum operating condition is a constant concern for specialists in the field. The condition of power transformers is mainly determined by the condition of the mixed insulation system, i.e. solid cellulose paper insulation and liquid insulating oil insulation. The identification method, described in this paper in order to determine the fault condition for power transformers is based on the fact that the assessment of their condition is mainly determined by the condition of the mixed insulation system, namely the solid insulation made of cellulose paper and the liquid insulation made of insulating oil. This is why the Three Ratio Technique (TRT) is used with good results for the early detection of power transformer faults. This method is considered as simple, but at the same time efficient in interpreting the results of dissolved gas analysis. It uses three new gas ratios to differentiate between thermal and electrical faults. In this paper, the ratios defined by the TRT method are used to train a machine learning classifier based on Ensemble Classifiers using Bagged Trees (random forest), Boosted Trees, and RUSBoosted Trees algorithms. The validation of the power transformer fault identification software application for the proposed method is carried out in the experimental section.
ANALISIS PENDAPATAN USAHATANI KARET (Hevea Brasilliensis) DI DESA PANDU SANJAYA, KECAMATAN PANGKALAN LADA, KABUPATEN KOTAWARINGIN BARAT
Authors: Irawan Andi , Maleha Maleha , Mukti H. Abdul , Berkat Berkat
Published: February 2025

Tujuan penelitian ini adalah untuk menganalisis pendapatan petani karet di Desa Pandu Sanjaya,Kecamatan Pangkalan Lada. Kabupaten Kotawaringin Barat. Lokasi penelitian dipilih secara purposive dengan populasi petani karet di Desa Pandu Sanjaya, Kecamatan Pangkalan Lada,Kotawaringin Barat, dan sampel diambil sebanyak 34 orang menggunakan SimpleRandom Sampling. Jenis data yang digunakan dalam penelitian ini meliputi data primer dan sekunder, data primer yang diperoleh dari responden menggunakan kuesioner (kuesioner) yang meliputi identitas petani, polapenggunaan lahan, biaya yang dikeluarkan selama proses produksi dan faktor-faktor yangmempengaruhi pendapatan petani. Data sekunder diperoleh dengan mengutip buku, laporan, dan dokumen dari lembaga pemerintah atau lembaga terkait yang mencakup pendapatan petani karet. Metode penelitian ini adalah analisis pendapatan untuk menghitung pendapatan petani karet. Hasilpenelitian menunjukkan bahwa besarnya pendapatan usahatani karet dipengaruhi oleh jumlahproduksi dan biaya produksi. Dan diketahui bahwa rata-rata jumlah pendapatan adalah Rp.24.941.176, yang lebih besar dari jumlah biaya yang dikeluarkan, yaitu Rp. 6.384.125 dan penghasilan rata-rata yang diterima adalah Rp18.557.051. Nilai keuntungan atau R/C Rasio 3,9 berarti bahwa pertanian karet menguntungkan, karena nilai RC dari rasio lebih besar dari 1.
Analisis Kelayakan Usaha Tanaman Hias Wijaya Mulya Florist Di Kota Palangka Raya
Authors: Maharany Yunita , Maleha Maleha , Mukti Abdul
Published: February 2025

Sebagai negara beriklim tropis yang terletak di garis khatulistiwa, Indonesia memiliki potensi alamiah yang baik untuk mengembangkan sektor pertanian, termasuk tanaman hias yang berperan dalam pembangunan sektor agrowisata. Penelitian ini bertujuan untuk menganalisis kelayakan usaha tanaman hias di Wijaya Mulya Florist Palangka Raya untuk diusahakan. Jenis penelitian yang digunakan adalah studi kasus yang bersifat kualitatif. Hasil penelitian menunjukkan bahwa pada analisis finansial berdasarkan nilai kriteria investasi pada diskon faktor sebesar 7% didapatkan hasil perhitungan sebagai berikut: Nilai NPV pada diskon faktor 7% lebih besar dari nol (NPV> 0) yaitu sebesar Rp. 124.983.050. Nilai IRR lebih besar dari tingkat suku bunga bank (IRR>i) yaitu 79,6%, Nilai Net B/C lebih besar dari 1 pada diskon faktor 7% (Net B/C>1) yaitu 2,68. Jangka waktu pengembalian modal atau payback period adalah 2,23 tahun, sehingga dapat diambil kesimpulan bahwa usaha tanaman hias Wijaya Mulya Florist Palangka Raya layak untuk dijalankan kedepannya.
Strategi Pengembangan Usahatani Buah Naga Merah (Hylocereus Polyrhizus) Di Kelurahan Kalampangan Kecamatan Sabangau Kota Palangkaraya
Authors: Situmorang Jojor Martaulina , Yusup Syamsuri , Sintha Tri Yuliana Eka
Published: February 2025

Sektor pertanian memiliki peran yang sangat penting dalam mendukung perekonomian nasional. Tantangan utama dalam pengelolaan usahatani meliputi penggunaan teknologi sederhana, tingginya biaya produksi, dan keterbatasan pengetahuan petani tentang pemasaran serta nilai tambah produk. Faktor eksternal menunjukkan adanya peluang besar, seperti dukungan kebijakan pemerintah, permintaan pasar yang meningkat, dan ketersediaan sarana produksi. Ancaman eksternal mencakup persaingan dengan wilayah lain dan fluktuasi iklim yang tidak menentu. Analisis SWOT menunjukkan bahwa strategi agresif dapat diterapkan untuk memanfaatkan kekuatan dan peluang secara optimal. Strategi pengembangan yang diusulkan meliputi optimalisasi penggunaan lahan, pelatihan teknologi budidaya modern, diversifikasi produk berbasis buah naga, dan perluasan akses pasar melalui kemitraan dengan lembaga pemasaran. Implementasi strategi ini bertujuan untuk meningkatkan produktivitas usahatani, menciptakan nilai tambah produk, dan meningkatkan kesejahteraan petani. Kesimpulannya, pengelolaan usahatani buah naga merah yang terintegrasi dengan strategi berbasis potensi lokal dapat mendukung pertumbuhan ekonomi berkelanjutan dan ketahanan pangan nasional.
Analisis Sikap Konsumen Dalam Keputusan Pembelian Daging Sapi Pada Pasar Tradisional Di Kota Palangka Raya
Authors: Sitohang Tamada , Sunaryati Revi , Erlina Yuni , Yuliana Tri , Nopembereni Eti Dewi
Published: February 2025

Tujuan dari penelitian ini adalah untuk mengetahui sikap konsumen terhadap atribut daging sapi di Pasar tradisional Kota Palangka Raya serta untuk mengetahui proses keputusan pembelian daging sapi pada Pasar Tradisional Kota Palangka Raya. Untuk mengetahui sikap konsumen menggunakan analisis Multiatribut Fishbein dan untuk mengetahui proses keputusan pembelian konsumen menggunakan analisis deskriptif. Hasil dari penelitian ini menunjukan bahwa sikap konsumen dalam keputusan pembelian daging sapi di Pasar Tradisional Kota Palangka Raya secara keseluruhan adalah positif dengan nilai sikap 137,62. Hal ini menunjukan bahwa secara umum konsumen memiliki pandangan positif terhadap produk daging sapi di Pasar tradisional. Atribut kesegaran mendapat perhatian tinggi dari konsumen dengan kategori sangat positif dimana dengan nilai 20,78. Atribut tekstur (18,44), pelayanan (18,15) dan warna (18,05) masuk dalam kategori yang positif sedangkan atribut lokasi (15,38), harga (15,01) dan atribut kebersihan (14,87) masuk pada kategori netral. Proses pengambilan keputusan pembelian daging sapi di Pasar tradisional dimulai dengan tahap pengenalan kebutuhan mengenai motivasi mengkonsumsi daging sapi, pada tahap ini sebanyak 57% konsumen memilih mengkonsumsi daging sapi dengan alasan sebagai pelengkap menu makanan. Sumber informasi terbanyak yang diperoleh konsumen pada tahap pencarian informasi adalah dari diri sendiri yaitu sebanyak 53 %. Pada tahap evaluasi alternatif, pertimbangan konsumen dalam membeli daging sapi di Pasar tradisional adalah atribut fisik daging sapi yaitu sebanyak 45%. Pada tahap keputusan pembelian sebanyak 77% melakukan pembelian secara terencana. Pada tahap pasca pembelian sebanyak 100% konsumen menyatakan puas terhadap pembelian daging sapi di Pasar tradisional, frekuensi pembelian paling banyak adalah sekali sebulan dengan persentase 33%.
The Role of Artificial Intelligence in Community Welfare: A Philosophical Exploration
Authors: Manisha Mishra
Published: February 2025

Artificial Intelligence (AI) in the realm of community welfare is giving birth to possibilities and thoughtfulness in contemporary society. This technological revolution not only improves the quality of life but also contributes effectively to health, education, poverty alleviation, disaster management, and other social services. Through AI, better decision-making, efficient resource distribution, and rapid problem-solving are becoming feasible, thereby ensuring prosperity and justice in society. For example, AI-based predictive models are assisting in the management of unforeseen disasters and are paving the way for new diagnoses and treatments in the field of medicine. However, a pertinent question arises: how should its development and usage for human welfare be guided by ethical guidelines? Additionally, it is essential to understand how AI (Artificial Intelligence) can reduce social inequalities and influence the human decision-making process. Should it be viewed merely as a technical tool, or should it be integrated with principles such as ethical responsibilities, privacy, and equality? Adopting a human-centered perspective, this research paper analyzes not only the technical benefits of AI but also its ethical, social, and philosophical aspects. The aim of this research paper is to clarify how AI can be used as a collaborative tool to enhance community participation and self-reliance. By integrating technical innovations with philosophical perspectives, this paper presents a framework for achieving long-term goals of community welfare. Therefore, understanding these aspects of AI will not only expand its scope but also ensure that technological progress remains balanced with human values.