bluuebunny/crossref_metadata_2025 huggingface dataset:
Förderung mathematischer Grundvorstellungen durch Bewegtes Lernen. Empirische Analysen am Beispiel des Stellenwertverständnisses
Authors: Radünz Lena
Published: February 2025

Die Förderung mathematischer Grundvorstellungen zählt zu den zentralen Herausforderungen des Mathematikunterrichts – besonders, wenn Lernprozesse individuell, verstehensorientiert und nachhaltig gestaltet werden sollen. Bewegtes Lernen, also die zeitliche oder inhaltliche Verbindung von Bewegung und Lernen, bietet hierbei einen innovativen Ansatz, der zunehmend in der mathematikdidaktischen Forschung diskutiert wird. Doch welches Potenzial hat dieser Zugang wirklich, insbesondere im Hinblick auf das Stellenwertverständnis, ein zentrales Fundament mathematischen Denkens?
Die vorliegende Dissertation widmet sich einer umfassenden Untersuchung dieser Frage. Aufbauend auf einer interdisziplinären Analyse theoretischer Grundlagen zu Bewegung und Lernen entwickelt die Arbeit ein differenziertes Begriffsverständnis von Bewegtem Lernen im mathematischen Kontext. Als empirisches Fundament dienen Fallstudien, die im Rahmen des Lehr-Lern-Labors „MATHletics“ durchgeführt wurden. Zentrale Elemente dieser Studien sind der „Zahlenteppich“ als körper- und raumorientiertes Anschauungsmittel sowie bewegte Lernumgebungen, die speziell für die Förderung des Stellenwertverständnisses konzipiert wurden.
Die Ergebnisse der Arbeit zeichnen ein facettenreiches Bild: Sie zeigen sowohl Potenziale als auch Grenzen Bewegten Lernens und ermöglichen konkrete Schlussfolgerungen für die Unterrichtspraxis. Dabei leistet die Dissertation nicht nur einen bedeutenden Beitrag zur fachdidaktischen Forschung, sondern liefert auch wertvolle Impulse für die individuelle Förderung im Mathematikunterricht sowie für die Gestaltung von Studiencurricula in der Lehramtsbildung.
La Carga Cognitiva en Actividades Colaborativas: Cómo Gestionarla para Optimizar el Aprendizaje
Authors: Orbegoso-Dávila L. A. , Ledesma-pérez F.  E. , Vásquez-Alburqueque I. L.
Published: February 2025

En el desarrollo de los trabajos de investigación que ejecutan los estudiantes, sean estos de carácter académico o científico, en varias ocasiones nos han reportado agotamiento, cansancio, refieren que las actividades rebasan sus capacidades y son muy demandantes de recursos cognitivos. Cuando se les pide que describan en que consiste su agotamiento, manifiestan dificultad para concentrarse en el análisis de la temática, dificultad para tomar decisiones debido al exceso de información y datos que en muchos casos son contradictorios. La saturación de publicaciones de especialidad y la profundidad con las que se abordan los lleva a la selección de las que les resultan más comprensibles, y de este modo se sacrifica el uso del pensamiento crítico y análisis profundo.Las consecuencias de este fenómeno se hacen evidentes en la disminución de la calidad de trabajos académicos y científicos, explicables por un pobre repertorio en la identificación de la información relevante, el hábito de trabajo en multitareas. La pretensión de ejecución de varias tareas académicas en simultáneo conlleva a la comprensión superficial de los temas, sin procesos de análisis y síntesis con lo cual se pierde información importante. Los efectos son la sensación de estar abrumado, hay rasgos de ansiedad porque entiende que es imposible el acceso a toda la información disponible y por la presión que la información que presenten esté actualizada.Asociado a la complejidad de tareas que afronta el universitario, en el aula se destacan los trabajos mejor logrados y se ponen como ejemplos a seguir, aunque con ello, se esté comparando el aprendizaje de los propios estudiantes, y se genere en los que no lograron el dominio de la técnica, la sensación de insuficiencia, frustración por su incapacidad de procesamiento de toda la información disponible, y para remediarlo dedican tiempo prolongado a las consultas en línea.Los autores de este texto, al compartir la caracterización del desempeño de los universitarios, identificaron los elementos mencionados en los párrafos precedentes y se propusieron encontrar una metodología o técnica que ayudara de algún modo a la superación de estas limitaciones y les permitiera un mejor desempeño. Dos conceptos centrales dieron origen a las indagaciones de campo, la socioconstrucción del conocimiento y la colaboración. A partir de ello, se seleccionó la teoría de la carga cognitiva y se aplicó en dos investigaciones empíricas rigurosas, cuyos resultados son el insumo del presente texto.El conocimiento construido socialmente y en forma colaborativa, con la guía de un docente competente y con dominios básicos de la teoría de la carga cognitiva, consideramos que reducirá el agotamiento y cansancio de los universitarios y les ayudará al cumplimiento de las actividades académicas y científicas propia de la formación universitaria.
Impact of Wave Directions on Connector Forces in Hexagonal Modular Floating Structure Networks
Authors: Ahmad Azlan Nur Hanani , Shaharuddin Nik Mohd Ridzuan , Ali Arifah
Published: February 2025

This paper presents the development of the hexagonal modular floating structure (HMFS) connector network and the determination of the impact of the connector horizontal force using four types of configurations which are the U-shaped, VP-shaped, VV-shaped and centre layout which connect three hexagonal modules that form a network of connectors. The determination of the forces exerted on the connector from the wave motion highlights the importance of understanding dynamic load interactions between the HMFS. Simulation works were conducted for regular waves in the following directions: 0o,30o,45o,60o,85o, and 90o. The analysis takes into account the influences of various wave directions and HMFS configurations on the connector forces. The analysis shows that the connector force in the centre configuration and VV-shaped configuration is higher than the load in the other two HMFS configurations. The VV-shaped configuration, which has hexagonal vertices oriented towards the wave direction, experiences a greater connector force than the VP-shaped configuration, which aligns its hexagonal parallel side with the wave directions.
Analyzing the Impact of Work Events on Emotions: Exploring Dimensional Influences
Authors: Ibrahim Nor Hafizah , Zafir Khan Mohamed Makhbul
Published: February 2025

Acknowledging the pivotal role of emotions in the workplace and their profound influence on job satisfaction, performance, and overall well-being, this study addresses a significant gap in research by exploring the specific dimensions of work events and their distinct impact on emotions. Focusing on the unique context of Malaysian public universities, the article examines the intricate dynamics between workplace events and emotional responses among employees. Grounded in the Affective Events Theory, this research contends that specific work occurrences trigger emotional reactions, shaping employees’ attitudes toward their work environment. Conducted with 537 administrative staff members, the study employs linear regression analysis in SPSS version 27 to comprehensively evaluate how various dimensions of work events influence emotional responses. The findings reveal that negative interpersonal interactions, infrastructure challenges, career development issues, and organizational policies are positively linked to negative emotions. Conversely, positive interpersonal interactions were associated with positive emotions, and positive career development events were found to positively influence negative emotions. Notably, negative task-related events were found to have an adverse impact on positive emotions. Emphasizing the significance of considering diverse dimensions of work events, this study provides actionable insights for the nuanced understanding and effective management of employees’ emotions in the workplace
Long Distance Job's Impact on Individual Work Performance
Authors: Vasudevan Hemaloshinee , Irna Marissa Mohd Nazri
Published: February 2025

Nowadays, employees often have to endure long commutes to reach their workplaces. The reasons behind this trend are diverse. In situations where job opportunities are scarce, workers are more willing to travel long distances to maintain their employment, whereas in a competitive job market, employees are more selective about their commuting preferences. Commuting by motorcycle or car can be as stressful as being stuck in traffic for a long time. It can raise the anxiety levels of commuters. Those who rely on public transport to commute are more likely to experience physical and mental health issues, which can affect their work performance. Due to the high cost of living, many employees are willing to commute long distances for higher wages. The study aims to examine the impact of prolonged travel hours on work performance over time. This research study employs a deductive approach to test an established theory. The study focuses on employees who commute long distances to work. This study employs non-probability and convenience sampling as the technique. Around 450 Malaysian respondents were sent the questionnaires through various digital platforms, such as e-mail, WhatsApp, Instagram, and Facebook. The findings showed that hypothesis 1 is accepted with a p-value of <0.01 and that limited job opportunities have a significant relationship with individual work performance among Malaysian workers, but two more hypotheses were rejected. Hypothesis 2 was rejected with a p-value of 0.899, followed by Hypothesis 3, which was also rejected with a p-value of 0.618 due to rising prices for goods and services that can negatively impact household well-being and increase the cost of living. The study provides empirical and conceptual evidence to support the government's initiative on the conceptual framework of long-distance job literacy and individual work performance. It recommends reviewing the existing MBO policy and legal framework to cater to the needs of employees in both established and emerging nations towards long-distance working methods.
Exploring Need Satisfaction in IT Professionals: The Role of Employee Engagement in Flexible Work Arrangements using Fuzzy Delphi Method
Authors: Chan Ler-Kuan , Tan Shen Kian , Huah Lee
Published: February 2025

IT companies like Microsoft and Google have been investing in data centres in Malaysia from the start of 2024. However, IT professionals prefer working abroad due of the favourable currency rate. IT professionals have persistently embraced flexible work arrangements  since the pandemic, enabling businesses to access a wider talent pool and enhance employee retention more efficiently. The objective of this study is to investigate the employee engagement model among IT professionals who practise flexible work arrangements  and examine its influence on the satisfaction of their needs.  The study implements the Fuzzy Delphi method, employing a mixed method research approach. During the initial phase, a series of qualitative semi-structured interviews were carried out with 6 IT professionals who had over 5 years of job experience. The qualitative data was analysed using deductive thematic analysis to discover important themes associated with employee engagement and need satisfaction. During the second phase, a questionnaire was handed out to 10 IT professionals who have over 10 years of working experiences. The purpose was to validate the findings and reach a consensus on the discovered factors. The findings provide strong proof of expert consensus, with a 75% agreement rate on all factors relevant to employee engagement and need satisfaction. These findings suggest that the elements listed are crucial for improving the fulfilment of needs among IT professionals in the context of flexible work arrangements. The study offers useful information to organisations, allowing them to build more strategic strategies for involving IT professionals in flexible work arrangements. Overall, this research contributes to the existing literature on employee engagement and need satisfaction in the context of flexible work arrangement, particularly within the Malaysian ICT industry.
Empowering Organizational Learning with Philosophical Tools of Lean Six Sigma in Service Sectors
Authors: Tan Yi Chyn Ezra , Muhammad Nur Amalina , Ishak Aulia
Published: February 2025

Lean Six Sigma (LSS) has become a prominent methodology for improving efficiency and quality across various industries, including the service sector. However, its philosophical foundations are often overlooked, with many organizations focusing solely on its practical tools. This study aims to bridge that gap by integrating LSS philosophical tools into organizational learning (OL) processes, enhancing understanding and application. The research examines the relationship between key LSS philosophical tools—such as Lean Leadership, Lean Management, Lean Culture, Change Management, and Employee Engagement—and core constructs of OL: commitment, knowledge, and performance. LSS training modules were implemented in an IT and software development company in Penang, Malaysia, designed specifically for the service sector using the Analyze-Design-Develop-Implement-Evaluate (ADDIE) model. A quantitative approach was used, with Analysis of Variance (ANOVA) applied to questionnaire data collected from the organization. The results show that the LSS philosophical tools positively impacted OL, leading to improved performance, better knowledge dissemination, and increased organizational commitment. Although the findings demonstrate the benefits of integrating LSS into OL, the study is limited to a single service sector and focuses on only five LSS tools. Future research should explore additional LSS themes and test th
The Role pf Psychological Contracts in Enhancing Employee Retention Strategies
Authors: Soomro Aqsa , Ramendran Charles , Moona Haji Mohamed Ramesh Kumar
Published: February 2025

Among the many volatile challenges weighing heavily on this dynamic and competitive labour market, employee retention is paramount, especially in sectors like health care, where fluctuation in turnover can remarkably affect service quality and operational efficiency. This paper discusses the implications of a psychological contract on employee retention strategies. It means, the psychological contracts have gained a lot of importance as they reflect the perceptions of employees regarding the commitment of the organization to provide them job security, career development, and work-life balance. This paper focuses on the health care sector as the psychological contracts particularly affect the aspects of job satisfaction, organizational commitment, and trust among nurses and management. This paper examines how the proper management of psychological contracts can help minimize turnover intentions by integrating employee expectations along with organizational objectives. For this purpose, a narrative review of the literature has been carried out, which was informed by recent studies dealing with employee retention, the theory of psychological contract, and human resource practices. Aspects related to perceived organizational support, career opportunities, recognition, and work environment have been analysed in the context of their potential to assist in the creation of mutual commitment and minimizing turnover. Finding indicated that psychological contract breaches, like breached expectations concerning career development or job security, significantly enhance turnover intentions. An organization found practicing active management of psychological contracts through addressing employee expectations and aligning them with organizational objectives realizes a more committed and satisfied workforce. This results in the situation of reciprocity in culture, where both employer and employee obligations are honoured, leading to lower turnover and long-term success for the organization. The paper consequently concludes that the integration of psychological contract management into broader employee retention strategies will be imperative in building a stable, loyal workforce. Indeed, addressing implicit employee needs and expectations, particularly in high-stress industries such as health care, allows organizations to facilitate improved retention, build loyalty, and ultimately enhance overall organizational performance.
Bibliometric Analysis on Chief Executive Officer (CEO) Characteristics
Authors: Shahrizin Sarah Amira Nadirah , Kurniawan Asep , Shah Shahar Wan Shahdila , Mohamad Saleh Mohamad Sofuan
Published: February 2025

This paper provides a comprehensive analysis of research focused on the characteristics of Chief Executive Officers (CEOs). The purpose of conducting a bibliometric analysis of CEO characteristics is to systematically evaluate. Using bibliometric techniques, this analysis aims to identify trends, patterns and influential publications in the field, as well as reveal the most cited works, leading authors, and significant research gaps. Such an approach helps provide a quantitative overview of how research on CEO characteristics has evolved and highlights the interconnections between different studies and themes.  To achieve this objective, this study analyzed 280 publications published between 1992 and 2024, obtained from the Scopus database, using bibliometrics, content analysis, and network approach methods. Data was analyzed using VOSviewer, MS Excel and Harzing's Publish or Perish software. The findings reveal a significant increase in research activity in this domain over the past 34 years, peaking in 2023. This surge is mainly due to enhanced channels for scholarly dissemination and con+certed efforts in the academic community, particularly in the United States, China and Malaysia. Ultimately, this bibliometric analysis serves as a tool to deepen understanding of the research landscape on CEO traits, guide future investigations, and foster the development of new theoretical and practical insights.
Advancing Heat Transfer: Exploring Nanofluids and Regression analysis on Lower Stagnation Point of a Horizontal Circular Cylinder for Brinkman-Viscoelastic Fluid
Authors: Fauzi Farahanie , Mohd Kasim Abdul Rahman , Mohd Kanafiah Siti Farah Haryatie , Mohd Zokri Syazwani , Taofeeq Adeosun Adeshina , Mat Yasin Siti Hanani
Published: February 2025

Nanofluids and hybrid nanofluids are increasingly employed in research, products, and technologies to enhance heat transfer efficiency. Recent investigations have focused on the convective heat transfer of viscoelastic nanofluids flowing through porous media, utilizing the Brinkman-Viscoelastic nanofluid model. In this study, the volume fraction of nanoparticles is used to characterize the nanofluids, while the heat transfer performance is quantified by the Nusselt number. The primary objective is to develop a regression model that evaluates the influence of nanoparticle volume fraction on the Nusselt number using simple linear regression analysis. Copper (Cu) nanoparticles and Carboxymethyl Cellulose (CMC) serve as the nanoparticle and base fluid, respectively. The governing equations for Brinkman-Viscoelastic nanofluid are simplified through non-dimensional and non-similarity transformations to enable analytical treatment. These simplified equations are numerically solved using the Runge-Kutta-Fehlberg method, and the results are used to construct and validate the regression model. This study provides insights into the relationship between nanoparticle concentration and thermal performance, contributing to advancements in heat transfer applications.
Thalassemia Awareness and Screening Practices: A Study on Knowledge, Perceptions, and Attitudes among Nursing Undergraduates at International Islamic University Malaysia (IIUM)
Authors: Abd Rashid Norlinda , Mat Yusof Nurul Afiqah
Published: February 2025

Thalassemia is a significant public health concern in Malaysia, particularly among certain ethnic groups. Healthcare providers play a crucial role in managing and preventing the disorder, making it essential to assess their knowledge, awareness, and attitudes (KAA). Despite thalassemia’s prevalence, there is limited research on the preparedness of nursing students to address the condition, potentially indicating gaps in education and readiness for professional roles. This study evaluates the KAA of thalassemia among undergraduate nursing students at the International Islamic University Malaysia (IIUM).A cross-sectional survey of 191 nursing students used a structured questionnaire to assess demographic factors, knowledge, awareness, and attitudes towards thalassemia screening. Statistical analyses, including Chi-square tests and logistic regression, were conducted to identify key factors influencing KAA. Of the participants, 73.3% demonstrated good knowledge, and 99.0% exhibited high awareness of thalassemia. Positive attitudes towards screening were seen in 86.9% of students, with attitudes significantly linked to academic progression (p = 0.03). The findings highlight the need for improved educational programs on thalassemia in nursing curricula, with a focus on genetic counselling and early screening, to enhance the management and prevention of thalassemia in Malaysia.
Adaptability of Statistical and Deep Learning Models to Volatile Market Conditions in Bursa Malaysia Stock Index Forecasting
Authors: Abang Shakawi Abang Mohammad Hudzaifah , Shabri Ani
Published: February 2025

The stock market plays a crucial role in the financial world, yet its inherent volatility and unpredictability make forecasting future movements challenging. In recent years, deep learning has emerged as a promising approach for stock market prediction, leveraging advanced computational capabilities to analyze complex patterns within large datasets. This study investigates the forecasting performance of the Bursa Malaysia Kuala Lumpur Composite Index (KLCI), comparing the adaptability of Long Short-Term Memory (LSTM), Artificial Neural Network (ANN), and Autoregressive Integrated Moving Average (ARIMA) models across periods of high and low market volatility. Our findings reveal that the LSTM model consistently outperforms both ANN and ARIMA models, demonstrating greater robustness and accuracy during volatile phases, such as those induced by the COVID-19 outbreak and political uncertainties in Malaysia. By highlighting each model's strengths and limitations under varying market conditions, this study provides valuable insights for stakeholders aiming to select forecasting models that can adapt to the challenges of market instability.
Mechanical Properties of Jute Fiber Polyester Hybrid Composite Reinforced with Rice Husk
Authors: Mohd Razali Muhammad Danial Haikal , Khashi'Ie Najiyah Safwa , Hamzah Khairum
Published: February 2025

The mechanical properties of natural fiber composites have attracted significant attention due to their potential to balance sustainability and performance. This study investigates a novel hybrid composite comprising jute fiber, polyester resin, and rice husk reinforcement. Fabricated using the hand lay-up technique, the composites were tested across five polyester-to-rice husk ratios (20:80, 40:60, 50:50, 60:40, and 80:20). Mechanical testing, including tensile, flexural, impact, and water absorption tests, was conducted in accordance with ASTM standards, and the results were validated using one-way analysis of variance (ANOVA). The 80:20 polyester-to-rice husk ratio emerged as optimal, achieving superior tensile strength (20.71 MPa), flexural strength (73.16 MPa), and impact resistance (0.8658 J), alongside minimal water absorption (3.161%). These findings highlight the potential of jute fiber-polyester composites reinforced with rice husk as eco-friendly alternatives for industrial applications, particularly in lightweight and structural components.
Structural and Mechanical Properties of Zinc-Strontium-Lithium Phosphate Glass Doped with Carboxymethyl Cellulose
Authors: Mohd Razak Siti Norfariza Farhana , Mohd Yusoff Nur Hazwani , Hasim Nurhafizah , Ahmad Nur Hidayah , Mohamad Saidi Norshahirah , Mohamad Mohd Fuad , Mat Daud Anis Nazihah
Published: February 2025

A series of phosphate glasses doped with carboxymethyl cellulose (CMC) was synthesized using the melt-quenching technique to explore their structural and mechanical properties. The composition (40–x) P₂O₅-ZnO-Li₂O–SrO-xCH₂CO₂H (0.0 ≤ x ≤ 0.5 mol%) was characterized using Fourier Transform Infrared (FTIR) spectroscopy, Raman spectroscopy, ultrasonic testing, and Vickers hardness measurements. Results revealed that the addition of CMC caused subtle structural changes, enhancing the glass network's compactness and stiffness. Mechanical analysis showed improved hardness, elasticity, and self-cleaning properties, making this system a viable candidate for applications in food processing and healthcare, where surface contamination is a concern. This study highlights the potential of biodegradable, non-toxic phosphate glass for innovative and sustainable applications.
Does China’s housing supply-demand relationship impact urban innovation capability
Authors: Zhang Juanfeng , Hao Ning , Zhao Guochao , Li Lele , Xiang Xiaoyi , Han Rui
Published: February 2025

Unlike existing literature that explores the impact of house prices on urban innovation, this paper skillfully examines the relationship between the housing market and urban innovation from the perspective of the housing supply-demand (S-D) relationship. Utilizing panel data from 284 prefecture-level cities in China spanning from 2005 to 2020, this study investigates the respective impacts of housing supply, housing demand, and their interplay on urban innovation capacity (UIC). Our findings indicate that housing supply positively influences UIC, with a coefficient of 0.060; specifically, for every 1% increase in housing supply, UIC increases by 0.06%. Similarly, housing demand also significantly affects UIC, with a coefficient of 0.060, suggesting that a 1% increase in housing demand corresponds to a 0.060% rise in UIC. However, we observe a significant negative effect of the housing S-D relationship on UIC, with a coefficient of –0.049, indicating that an increase in the housing S-D ratio detrimentally impacts urban innovation. Furthermore, our analysis reveals that as the housing supply-demand ratio rises, house prices also tend to increase. Additionally, we identify heterogeneity in our results, indicating variations in the housing supply-demand ratio’s impact on the innovation capacity of cities across different regions.
Quantifying the Effect of Short-timescale Stellar Activity Upon Transit Detection in M Dwarfs
Authors: Yaptangco Dana Clarice , Ballard Sarah , Dittmann Jason , Albornoz Mariangel
Published: February 2025

M dwarf stars comprise 70%–80% of the galaxy's stars and host most of its rocky planets. They also differ from Sunlike stars in that they are “active” for billions of years or more: rotating quickly, flaring often, and emitting large amounts of UV and X-ray light. The effects of stellar activity upon both photometry and spectroscopy make their exoplanets more difficult to detect. While activity signals such as flaring and stellar rotation can be more readily modeled or removed from photometry, the contribution of unresolved stellar activity to transit sensitivity is harder to quantify. We investigate the difference in the detectability of planetary transits around a sample of M dwarfs observed by NASA's Transiting Exoplanet Survey Satellite (TESS) Mission, characterized by a common stellar radius, effective temperature, and TESS magnitude. Our sample is classified as either “active” or “inactive” based upon the presence of Hα in emission. After removing more readily identifiable signatures of activity: stellar rotation and large flares, we perform an injection-and-recovery analysis of transits for each star. We extract detection sensitivity as a function of planetary radius and orbital period for each star. Then, we produce averaged sensitivity maps for the “active” stars and the “inactive” stars, for the sake of comparison. We quantify the extent to which signal-to-noise ratio is degraded for transit detection, when comparing an active star to an inactive star of the same temperature and apparent brightness. We aim for these sensitivity maps to be useful to the exoplanet community in future M dwarf occurrence-rate studies.
The Morphology of Dwarf Galaxies Hosting Variable Active Galactic Nuclei
Authors: Kimbro Erin , Baldassare Vivienne , Worthey Guy , Geha Marla , Greene Jenny
Published: February 2025

We analyze Hubble Space Telescope optical imaging of eight low-mass galaxies hosting active galactic nuclei (AGN) identified via their photometric variability in V. F. Baldassare et al. We use GALFIT to model the 2D galaxy light profiles, and find a diversity of morphologies. The galaxies with regular morphologies are best fit with pseudobulges and disks, rather than classical bulges. We estimate black hole masses using scaling relations and find black hole masses of 103.7−6.6
M
⊙. We compare this sample to dwarf galaxies with AGN selected via optical spectroscopy. On average, the variable host galaxies have lower-mass black holes. We analyze the brightest point source in each galaxy and find their properties are not entirely consistent with star clusters, indicating that they are likely AGN. These point sources are found to have lower luminosities than spectroscopically selected dwarf AGN, but brighter than the point sources in dwarf galaxies not identified as AGN. Our detailed imaging analysis shows that variability selection has the potential to find lower-mass black holes and lower-luminosity AGN than optical spectroscopy. These active dwarfs may have been missed by spectroscopic searches due to star formation dilution or low gas content.
Solar Cycles: Can they be Predicted?
Authors: Foxon Floe
Published: February 2025

The solar magnetic field, thought to be generated by the motion of plasma within the Sun, alternates on the order of 11 yr cycles and is incompletely understood. Industries rely on accurate forecasts of solar activity, but can solar cycles be predicted? Of more than 100 predictions for cycle 25, most underestimated the amplitude (peak sunspot number). Fewer predictions were made for the timing of solar maximum, but timing predictions seem to be performing better than amplitude predictions. Reasons for inaccurate prediction are suggested, and perspectives are given on how future studies might improve upon the extant literature.
Methods for CMB Map Analysis
Authors: Sullivan Raelyn M. , Hergt Lukas Tobias , Scott Douglas
Published: February 2025

There are standard tools for analyzing cosmic microwave background maps. However, several important details are not usually highlighted. Here we describe best practices for several common map-modifying procedures, including masking, downgrading resolution, convolving with beam and pixel window functions, and adding white noise. We will explore how these modifications affect the final power spectrum measured from a map. We recommend the best ways to perform each of these procedures, describe when the different steps and measures should be carried out, and show the effects of incorrectly performing or applying any of them.
THUNDER: A Titan Orbiter Mission Concept for the New Frontiers Program Designed at the JPL Planetary Science Summer School
Authors: Seltzer Cassandra , Lien Rudi , Radzom Brandon T. , Mullikin Ella , Bott Kimberly , Brouwer Gwendolyn , Burtt David G. , Gentgen Chloe , Abbate Jewel , Gandarillas Victor , Green Austin P. , Head Tristen , Hill Jonathon R. , Larson Jennifer N. , Montiel Nicholas J. , Moreno M. Regina A. , Wagner Nicholas L. , Wijesekara Piyumi , Keane James Tuttle , Nash Alfred E. , Scully Jennifer
Published: February 2025

Saturn's moon Titan is an enigmatic icy world whose surface is constantly modified by its active, Earthlike precipitation system. Here, we propose the Titan's Hydrocarbons: Uncovering New Dimensions of Evolutionary pRocesses (THUNDER) mission concept to investigate how Titan's surface reflects the nature of its interior and its active hydrocarbon cycle. This mission will change our understanding of Titan's surface through three science objectives: characterizing the heat and material transport properties of Titan's icy outer layer, tracing surface liquid storage through and across the crust, and assessing the total hydrocarbon budget through time. This New Frontiers-class mission, designed as part of the Jet Propulsion Laboratory Planetary Science Summer School, responds directly to the call for a Titan orbiter in the NASA Planetary Science and Astrobiology Decadal Survey 2023–2032. THUNDER's focused geology and geophysics mission could achieve full surface mapping to complement both the Cassini–Huygens and Dragonfly missions using gravity science, radar with three operational modes, and a visible-to-infrared spectrometer. These instruments together could give us the first look at Titan as a fully connected and geologically active world, revolutionizing our understanding of icy bodies, fluvial and atmospheric processes, and habitability across geologic time. Here, we summarize the goals of the science mission and engineering approaches, as well as challenges and future directions to study before THUNDER can become a viable mission concept.
Med književnostjo, narodom in zgodovino
Authors: Dolinar Darko
Published: February 2025

The book Med književnostjo, narodom in zgodovino ('Between Literature, Nation, and History') is about older Slovenian literary studies from approximately the middle of the 19th to the middle of the 20th centuries, when the main roles within it were played by the categories of history and nation, and when it was understood and functioned as a historical and national discipline. The book extends into modern times only in certain places, when important theoretical and methodological changes occurred that advanced the discipline. Thus, the limited chronological framework considerably ensures the unity of the subject discussed. In addition, this unity is also ensured by its conceptual limitation to Slovenian territory; this, however, is not exclusive, but is constantly accompanied by the idea of the broader European context. Without wishing to define the nature and scope of Slovenian literary studies in advance, this discipline is nonetheless understood with a focus on the historical treatment of Slovenian literature and related general literary studies.

The areas and phenomena selected are highlighted from several complementary aspects. The inner structure of the discipline is addressed by studies defining its subject field and the appropriate selection of prevailing methods. The issue of institutional foundations is highlighted by presenting the establishment of the most important institution for the discipline during this period – the University of Ljubljana – as well as the organization of literary studies at the university and the first specialized academic journal. This is followed by discussions of certain central personalities with an emphasis on their basic ideas. Synchronic reviews of the issue based on selected examples are presented in chronological order, presenting the central intertwined developmental lines of the whole. These include the emantipation of literary studies from the framework of philology, the independence of Slovenian studies from the framework of general Slavic studies, the constitution of the discipline in line with contemporary recognized scholarly criteria, and the self-understanding and functioning of the discipline as one of the main national disciplines. More detailed summaries of each chapter are given below.
Copublisher: Celjska Mohorjeva družba
Literarni atlas Ljubljane
Authors: Dolgan Marjan , Fridl Jerneja , Volk Manca
Published: February 2025

This is the first atlas of the kind in Slovenia ('The Literary Atlas of Ljubljana'). A collection of biographical articles starts with descriptions of the times which the selected Slovenian literary men and women spent in Ljubljana. There is a wide range of conflicting literary and ideological orientations as well as turbulent social and political developments in Slovenian capital. Numerical indications of places (author of the texts is Marjan Dolgan) serve the readers to find locations on the attached maps of Ljubljana (authors Jerneja Fridl and Manca Volk) where the writers and poets lived, attended school or received their education, worked, died and are buried. There are pubs where they amused themselves, and prisons where they were locked up by the authorities. Also places of love romances and misfortunes, public scandals, social spectacles, even mysterious disappearances. Ljubljana as the venue of farces, dramas, tragedies, thrillers and horror stories which Slovenian literary creators experienced. An extensive publication is informative, instructive, funny and thrilling. It contains a great number of data that have not yet been published. Readers will get an insight into previously unknown strata of Slovenian literature.
Vivre l’espace à partir d’un lieu
Authors: Sadaillan Clémence
Published: February 2025

Cet article questionne la place du dōjō dans la vie des pratiquant·es de l’iaidō, un art martial japonais qui consiste à manier un sabre. Il interroge le caractère quasi sacré ou à tout le moins fondamental que ce lieu revêt pour eux, et ce par rapport à d’autres lieux de leur quotidien. L’hétérotopie, un outil conceptuel proposé par Foucault dès 1967, a servi de point de départ et d’arrière-plan à cette enquête : le dōjō a-t-il des caractéristiques qui permettraient de le considérer comme une hétérotopie ? L’article distingue deux manières de considérer ce lieu selon l’engagement affectif, symbolique et intellectuel des pratiquant·es dans leur discipline martiale. Cet article cherche – c’est son point de départ et sa finalité – à penser à partir d’un lieu particulier notre tendance, en général, à catégoriser l’espace.
Behind the Lens
Authors: Loh Yoke Ling , Ali Mohd Nor Shahizan
Published: February 2025

Indie documentary filmmaking in Malaysia offers a crucial platform for authentic narratives and critical social issues. Despite its cultural value, indie filmmakers face barriers affecting production, distribution, and recognition. Restricted access to mainstream distribution limits audience reach, while financial constraints compromise production quality and marketing. Furthermore, regulatory challenges and legal complexities restrict creative freedom, hindering the growth of Malaysia's indie documentary sector. Overcoming these requires enhanced infrastructure, financial backing, supportive regulatory frameworks, and increased acknowledgment of indie documentaries' cultural contributions, all necessitating collaborative efforts among policymakers, industry players, and the filmmaking community.
Applying the Water Sensitive City Index in a House of Quality Framework to Enhance Urban Water Governance and Sustainability
Authors: Diaz-Parra Ocotlan , Ruiz-Vanoye Jorge A. , Simancas-Acevedo Eric , Ramos-Fernández Julio C. , Xicotencatl-Pérez Juan M. , Marroquín-Gutierrez Francisco , Salgado-Ramírez Julio C. , Reyes-Hernández Yaneth
Published: February 2025

This article presents a combination of tools to determine if a city could be considered Smart Water City. Smart Water cities are those that use advanced technologies and innovative solutions to improve water management and ensure the long-term sustainability of water supplies. This includes optimizing water use, reducing water losses, treating, and reusing wastewater, and conserving water resources. This paper proposes the use of the evaluation of the water sensitive city index applied in the house of quality, to identify the fulfillment of the seven goals that the water sensitive city index manages within the scheme of the house of quality and thus precisely observe the areas of opportunity for decision making.
Introduction
Authors: Önder Murat , Akkucuk Ulas
Published: February 2025

The integration of Artificial Intelligence (AI) tools into public administration presents transformative opportunities for enhancing sustainability and efficiency in governance. This edited volume explores how AI-driven solutions can address key challenges faced by public institutions, including resource management, decision-making, and citizen engagement. By leveraging artificial intelligence, machine learning, natural language processing, and predictive analytics, public administrators can make better decisions, optimize operations, reduce environmental impacts, and meet demands of citizens. The collection highlights successful case studies, identifies potential risks such as ethical concerns and data privacy issues, and outlines best practices for implementing AI in a transparent and equitable manner. Emphasizing the role of innovation in achieving sustainable development goals, this introduction to the edited volume serves as a roadmap for policymakers and practitioners aiming to harness the power of AI for a more sustainable and resilient public sector.
AI-Driven Tools for Sustainable Public Administration
Authors: Ndlovu Sheron
Published: February 2025

This chapter examines the technological, economical and societal obstacles that may prevent Artificial Intelligence from being widely used in public administration. In order to fully utilise AI's potential to improve public administration, obstacles must be addressed. Adoption of AI necessitates a large initial financial outlay, which is sometimes limited by financial constraints and conflicting goals in the public sector. Additional financial strains are incurred by long-term maintenance and training costs. Social resistance to AI originates from worries about data privacy, distrust of automated systems, and fears about job displacement. Furthermore, the acceptance of AI may be slowed down by public awareness of its ethical ramifications. In order to fully utilise AI's potential to improve public administration decision-making, efficiency, and transparency, it is imperative that these obstacles be addressed. This chapter gives a detailed analysis of these barriers, offering stakeholders and policymakers insights in advancing AI adoption.
Innovative Intelligence AI Tools Transforming Public Service Excellence
Authors: Raavi Tarun Sai , Radhika Ramanchi , Shree Charan C.
Published: February 2025

This chapter provides a comprehensive framework for the implementation of Artificial Intelligence (AI) in public administration. It highlights the growing importance of AI technologies in improving public services, while emphasizing the need for a systematic approach to their deployment, also examines the literature on AI frameworks, outlines the basic benefits and risks of AI in public administration, and suggests guidelines for responsible implementation. It also seeks to provide a comprehensive understanding of the effective integration of AI tools in public management to enhance public value while upholding ethical standards.
Natural Language Processing (NLP) for Sustainable Public Administration
Authors: Balci Hilal Saygili , Balci İlyas
Published: February 2025

Technology with Artificial intelligence (AI) continues to evolve daily and transform public administrations. This study focuses on natural language processing (NLP), one of the effective AI technologies. Sustainability will be addressed within the context of sustainable public administration which is the long-term impact and sustainability of public services. This study suggests that NLP is a vital tool for reform and enhancement in public administration, proposing assumptions on its potential to improve the efficiency, transparency, and inclusiveness of public administration. It explains the usage areas of NLP in public administration with application examples. Thus, three main sustainability issues are examined: environmental, economic and social. In addition, critical challenges of NLP such as language diversity, data privacy and ethical issues are addressed, and solutions are sought. This study aims to present the significant potential of NLP in promoting sustainability in public administration. It creates an important roadmap for researchers, policy makers and practitioners.
Detection of Antibiotic Resistance Genes in Bacteria Isolated from Beymelek Lagoon Water Samples
Authors: Boyraz Abdullah , Erdogan Ozgur , Parin Ugur
Published: February 2025

This study investigated the prevalence of antibiotic resistance genes in bacteria isolated from water samples collected from Beymelek Lagoon, Turkey. Water samples were obtained at two different periods from five distinct locations within the lagoon. At each sampling site, environmental parameters, including temperature, pH, and salinity, were measured to provide a comprehensive understanding of the sampling conditions. A total of 16 bacterial strains were isolated from water samples collected in February, and an additional 12 strains were isolated from samples collected in August 2022. The isolates were identified using the VITEK2 Compact automated identification system. Among the 28 isolates obtained across the sampling periods, 16 were classified as Gram-negative and 12 as Gram-positive. In this study 16 antibiotic resistance genes: aadA1, ampC, blaTEM, cfr, dfrA1, ermB, floR, intI1, mphA, qnrA, sul1, sul2, sul3, tetA, tetB, and tetW investigated. In February, the blaTEM gene was detected in 25% of the isolates, ermB in 7.14%, while sul1, sul2, and tetW genes were each identified in 3.57% of the isolates. In August, blaTEM, intI1, and tetW genes were detected in 17.86%, 25%, and 3.57% of the isolates, respectively. This study highlights the presence of antibiotic resistance genes in bacteria isolated from lagoon water.
Expression Profiling of Innate Immune Genes in Nile Tilapia (Oreochromis niloticus Linnaeus, 1758) Upon Short Term Immunization with Bacterial Lipopolysaccharide (LPS) and Peptidoglycan (PGN)
Authors: Ferdoush Jannatul , Hossain Anwar , Haque Md. Inja-Mamun , Hossen Md. Ismail , Al-Mamun Md. Abdullah , Rahman Md. Mizanur , Shafiujjaman Md. , Manda Shankar Chandra
Published: February 2025

Tilapia aquaculture is emerging throughout the world because of its fast growth and adaptability. However, disease is one of the impediments in emerging this sector. Boosting the immunity of tilapia by using immunostimulants can help in fighting the diseases. This study investigates how bacterial pathogen-associated molecular patterns (PAMPs), specifically lipopolysaccharide (LPS) and peptidoglycan (PGN), influence the regulation of expression of innate immune genes in Nile tilapia. In the current study, E. coli derived LPS and PGN were injected at 100 μg LPS/kg and 100 μg PGN/kg intraperitonially in treatment group and 100 μg PBS/kg in control group. Significant upregulation of TLR2, TLR3, TLR8, and TLR9 was observed in the spleen, liver, gill, and brain at various time points post-treatment (P<0.05). Additionally, increased expression of IRF3 and TGF-β was noted in multiple organs, along with elevated levels of pro-inflammatory cytokines IL-1β and IL-10, and antiviral protein viperin. These molecular responses suggest that E. coli derived LPS and PGN can effectively modulate inflammatory pathways, enhancing the immune defense mechanisms of tilapia. The findings highlight the potential of bacterial PAMPs to improve fish health, reduce mortality rates, and increase profitability in aquaculture by reducing the reliance on antibiotics.