bluuebunny/crossref_metadata_2025 huggingface dataset:
Does a Data-Informed Online Intervention for Teachers Improve Student Motivation and Engagement During the Transition to High School? A Cluster Randomised Controlled Trial
Authors: Noetel Michael , Dicke Theresa , Parker Philip David , Ntoumanis Nikos , Beauchamp Mark R. , Yeung Alexander , Hulteen Ryan , Vasconcellos Diego , Ahmadi Asghar , Guo Jiesi , Mahoney John , Datta Poulomee , Doidge Scott , Lonsdale Chris
Published: February 2025

Teachers can foster or thwart students’ motivation and engagement; hence, interventions often target teacher behaviors to improve student outcomes. These interventions are seldom derived from longitudinal data from the specific participants of interest. In this study, we created an intervention to increase student motivation and engagement using previously derived longitudinal data from our target population. We selected six teacher behaviors that best predicted student engagement in two subjects, physical education (PE) and mathematics, among Grade 7 students. We tested a 12-hour mostly-online teacher professional learning intervention in a prospectively registered, single-blinded, cluster-randomised controlled trial. From 30 participating schools, 1,969 students could be matched to one of the 129 teachers who provided consent (71 PE and 58 mathematics teachers). Employing a multiverse analytical approach, we found the intervention significantly increased psychological need satisfaction in most analyses. We found no robust effects on student engagement or other self-reported variables (attitudes toward PE, student use of approach or avoidance goals, or the perceived value of mathematics). Effects on achievement were mixed. We observed positive effects on PE achievement, with increased self-reported physical activity corresponding to an extra 0.43 days of activity per week. There were no significant effects on mathematics achievement. While we did not significantly increase engagement itself, this light-touch professional learning intervention was able to increase proximal predictors of motivation and engagement.
Negative emotion reduces the temporal compression of events in episodic memory
Authors: Colson Charline , D'Argembeau Arnaud
Published: February 2025

Recent studies have revealed that the continuous flow of information that characterizes naturalistic events is temporally compressed in episodic memory, so that remembering an event takes less time than the duration of the past episode. However, the specific characteristics of an event that influence its temporal compression in memory remain poorly understood. In the present study, we examined the extent to which the emotional nature of events impacts their rate of compression in memory representations. We conducted two experiments in which participants were instructed to mentally replay a series of videos depicting negative or neutral events. The results showed that the course of emotional events was less compressed in memory than that of neutral events: the time taken to mentally replay a video, relative to the actual video duration, was significantly longer for negative than for neutral videos. In addition, compression rates were predictive of the subjective quality of memory. Taken together, these results suggest that negative emotion increases the sampling rate of the units of experience that represent the course of events, leading to a lower compression of events in memory representations.
Comparing Perspective in Drawings, Photographs, and Perception
Authors: Hertzmann Aaron
Published: February 2025

In this paper, I compare perspective in my observational drawings to photographs that I took at the same time, and, where memory allows, discuss how both relate to the visual experiences. This comparison reveals several consistent trends, including systematic size differences for distant objects, differences in foreshortening, a dependence of object shape on canvas shape, and multiperspective composition. Many of these trends can be found in historical artworks as well. Some have been previously identified in the literature, but discussions often involve very incomplete information, e.g., analysis of Renaissance perspective has involved considerable speculation about the artists' subjects and thought processes, and unfounded assumptions about the "correctness" of linear perspective. If a painting and a photograph of a scene differ in some aspect, it might be that the drawing does not match visual experience of that aspect, that the photograph does not, or both. Identifying such systematic differences offers avenues for future study of how pictures and visual experience relate, and what causes these differences.
The Not So Illusory Truth Effect: A Rational Foundation for Repetition Effects
Authors: Orchinik Reed , Rand David Gertler , Bhui Rahul
Published: February 2025

The illusory truth effect - the finding that repeated statements are believed more - is understood as a cognitive bias at the core of the psychology of beliefs. Here, we propose that the effect, rather than representing a flaw in human cognition, is a rational adaptation to generally high-quality information environments. Using a formal model, we show that increasing belief in repeated statements improves belief accuracy when a source is credible (i.e., likely to tell the truth) but sometimes makes errors. The theory unifies four key findings in the literature while predicting a testable edge case for the illusory truth effect: when a source is likely to convey falsehoods. Using a large (N = 4,947) pre-registered online experiment, we show that the illusory truth effect is substantially smaller in a low-quality (mostly false) relative to a high-quality (mostly true) information environment. In fact, a majority of participants in the low-quality condition do not demonstrate any illusory truth effect. We identify the deployment of an alternative strategy in the low-quality condition where participants decrease their belief given repetition. Three process-level indicators - response times, cognitive reflection, and the prior plausibility of items - confirm an adaptively rational interpretation. In sum, we suggest the illusory truth effect may not be purely illusory, highlighting its adaptive foundations and the ability of people to efficiently navigate complex environments.
The Association between Reading Anxiety and Reading Achievement across World Populations: A Meta-Analysis
Authors: Johnson Rachelle Margaret , Schaefer Maxine , Norris Cynthia Ulysse , Wagner Richard K , Hart Sara Ann
Published: February 2025

Reading is essential for daily life. Therefore, an inability to engage in reading due to either a lack of reading abilities or a fear of reading would be debilitating. Reading anxiety is the fear of reading and is theorized to be negatively associated with reading achievement. Research on reading anxiety has existed since the 1980’s, however, it has been a quickly rising area of investigation in recent years. The goal of the present meta-analysis was to determine the strength of the association between reading anxiety and reading achievement. This preregistered meta-analysis was designed with the intention of being representative of world populations. Through systematic screening of the published and unpublished literature, 44 studies were identified to be included in the meta-analysis (totaling 113 effect sizes). The 9,114 participants from these studies came from a range of backgrounds. The included studies were conducted in 5 continents, 9 countries, and 7 languages. A moderate negative correlation was found between reading anxiety and reading achievement (r = -0.31). Learning disability status, gender, reading domain, and age were not significant moderators and did not significantly account for the heterogeneity in the effect size. The association between reading anxiety and reading achievement may have practical implications for the fields of psychology and education, specifically for efforts to promote people’s reading achievement while maintaining their socioemotional wellbeing. An important direction for future research will be to use longitudinal designs to uncover how reading anxiety and reading achievement may co-develop. This would improve suggestions that can be made on how to support people struggling in their reading anxiety and reading achievement.
Development and Validation of a Novel Survey Instrument to Assess Loss of Control over Alcohol Use: The Loss of Control-Alcohol (LOSS-A) Scale
Authors: Wang Frances , Thomas Deepa , Molina Brooke S. G. , Duong Shirley
Published: February 2025

Background: Loss of control over alcohol use is a component of impaired control and an important premorbid risk factor for alcohol use disorder (AUD). Prevailing assessments of loss of control over alcohol use have important limitations. For instance, many items imply intentions to limit drinking (e.g., drink more than intended?), which would not be endorsed by individuals who exhibit uncontrolled drinking with no intentions to moderate their behavior. Existing items have also been shown to be frequently endorsed when drinking limits are exceeded for non-compulsive (e.g., social) reasons. Thus, we developed and validated a novel loss of control survey whose content focused more on the thoughts, feelings, and motivations underlying loss of control and deemphasized intentions to limit drinking. Methods: 29 adults diverse in racial and ethnic identities and balanced on sex assigned at birth completed cognitive interviews to test the interpretability of devised loss of control items and to refine the item set. A quantitative survey was administered to 246 adults (55.7% White, 44.3% Black, 41.6% assigned male sex, 58.4% assigned female sex) to test the validity of refined items. The resultant loss of control items (the Loss of Control-Alcohol [LOSS-A] scale) were administered alongside measures of alcohol problems (AUDIT, DSM-5 AUD symptom scores), heavy drinking frequency, alcohol treatment history, and existing impaired control measures. Results: The LOSS-A scale showed excellent psychometric properties that did not differ by race or assigned sex. It showed incremental predictive utility for several alcohol outcomes over existing loss of control and impaired control measures. Conclusions. The final eight-item LOSS-A scale is a brief and valid way to measure loss of control across a wide range of drinkers that addresses limitations of existing measures.
Growth Trajectories of Self-Concept and Interest in Mathematics and Language – Individual Differences and Cross-Domain Relations
Authors: Widlund Anna , Niemivirta Markku , Tuominen Heta , Korhonen Johan
Published: February 2025

Motivational beliefs seem to decline for many during adolescence. Although this may reflect a mismatch between students’ needs and the secondary schools’ resources, general declines may also stem from increased dimensional comparison processes: students’ motivational beliefs tend to become increasingly domain-specific during adolescence. Yet, inter- and intraindividual differences in students' co-developmental processes of self-concept and interest across domains have rarely been studied.This study examined what kinds of developmental trajectories of self-concept and interest in mathematics and L1 can be identified among adolescents across lower-secondary education, and whether trajectories and cross-domain relations differ between genders.We followed 612 students across Grades 7–9 (13 to 15-year-olds). Growth mixture models were applied to identify distinct motivational trajectories of math and L1 self-concept and interest across Grades 7–9. Multi-group growth models were used to compare growth trajectories and cross-domain relations between genders.Results revealed that students’ math and L1 motivation development was rather homogenous across grades 7–9, and many experienced some decline in their motivation after entering Grade 7. Yet, a pronounced differentiation across domains was detected among girls, favoring the L1 domain. Girls also engaged in more dimensional comparison processes as compared to boys, as several negative cross-domain relations between math and L1 were detected among girls. In conclusion, dimensional comparisons (negative cross-domain relations) seemed to be more prominent among girls, which may explain some consistent gender differences in students' motivational beliefs. The findings should be considered when planning targeted interventions, for example, to support girls' relatively low motivation in math.
Promises and pitfalls of using LLMs to identify actor stances in political discourse
Authors: Walker Viviane , Angst Mario
Published: February 2025

Empirical research in the social sciences is often interested in understanding actor stances; the positions that social actors take regarding normative statements in societal discourse. In automated text analysis applications, the classification task of stance detection remains challenging. Stance detection is especially difficult due to semantic challenges such as implicitness or missing context but also due to the general nature of the task. In this paper, we explore the potential of Large Language Models (LLMs) to enable stance detection in a generalized (non-domain, non-statement specific) form. Specifically, we test a variety of different general prompt chains for zero-shot stance classifications.Our evaluation data consists of textual data from a real-world empirical research project in the domain of sustainable urban transport. For 1710 German newspaper paragraphs, each containing an organizational entity, we annotated the stance of the entity toward one of five normative statements. A comparison of four publicly available LLMs show that they can improve upon existing approaches and achieve adequate performance. However, results heavily depend on the prompt chain method, LLM, and vary by statement. Our findings have implications for computational linguistics methodology and political discourse analysis, as they offer a deeper understanding of the strengths and weaknesses of LLMs in performing the complex semantic task of stance detection. We strongly emphasise the necessity of domain-specific evaluation data for evaluating LLMs and considering trade-offs between model complexity and performance.
Policy lessons from China: A quantitative examination of China's new competition regime for the digital economy
Authors: Baum Leonard , Bryson Joanna J.
Published: February 2025

Growing global concern about the problems associated with concentrated market power in the digital economy is leading to a renewed interest in competition policy. Since the late 2010s, China’s government has squarely confronted the problems of its own ‘Big Tech’ with a new competition regime for digital markets. Outcomes represent a unique learning opportunity for Western academics, competition authorities and lawmakers alike, which has so far been underutilized. However, given unreliable official figures, a new methodology is needed to assess competition in China’s digital economy. This article introduces a market capitalization approach that builds on the informativeness of China’s financial markets. We use Bloomberg financial data of 1142 publicly listed firms for the period 2019 to 2022 to quantitatively examine the impact of China’s new digital competition regime. We find a causal link between the new governance approach and a reduction of market concentration and aggregate growth in the primary markets of China’s three most dominant digital platforms – Baidu, Alibaba and Tencent (BATs). Further, our results show a robust correlation between the new competition regime and reduced market concentration and market capitalization growth rates across China’s digital markets. Other empirical findings include a negative correlation between market concentration and the openness of digital markets, a non-relationship between market concentration and profits, and the inability of profit and revenue-based metrics to capture market power effectively in China’s digital economy. Finally, we discuss the relevance of these insights for Western regulatory strategies, particularly as the EU and China emerge as global frontrunners in the field of digital competition regulation.
Chamling and English Noun System: A Comparative Study
Authors: Rai Krishna Bahadur
Published: February 2025

This article aims to explore the Chamling noun system and its various applications. The noun structure in Chamling exhibits considerable differences from that of English across multiple dimensions. These two languages originate from distinct language families, so their grammatical structures are incomparable. Consequently, children who speak Chamling often encounter challenges when learning the English noun system due to the influence of their native language. This article aims to address the challenges Chamling-speaking students face in learning the noun system of the English language as a result of their mother tongue. Moreover, it serves as a resource for linguists, educators, and others who are interested in learning the noun system of the Chamling language. Data were collected through field visits to two distinct dialect regions of the Chamling language: Diktel and Halesi. In this study, nouns are classified according to several criteria, which include semantics, countability, and morphology. This classification leads to the identification of various categories, including proper nouns, common nouns, abstract nouns, material nouns, collective nouns, countable nouns, uncountable nouns, concrete nouns, verbal nouns, and compound nouns. The entire noun system of Chamling is systematically analyzed and compared with the noun system of English.
Takeaways on Agriculture and Livestock Productivity: A Study of Rural Farmers
Authors: Shrestha Dhruba
Published: February 2025

The purpose of this study was to analyze the takeaways on agricultural and livestock productivity in Khotang. The majority of households are principally engaged in agricultural and livestock activities, but major cereal crops, groceries, fruits, vegetables, seeds, seedlings, meats, fertilizers, and pesticides is massively imported from beyond the district. About 30-40 percent of cultivated lands remained fallow because of population deficit, shortage of labour, migration, and wild animal encroachments. The study is focused in Diktel Rupakot Majhuwagadhi Municipality, Khotang. The mixed methods were used to gather the primary and secondary nature of data. Systematic random sampling methods were used to select the sample size and accomplish the structured survey questionnaire in this research work. Existing agricultural and livestock policies and its’ execution is helpless to motivate rural farmers who spent their lives in the field and cattle sheds for several decades. Nearly 24 percent of the population are out of home and only senior adults, women and kids can be found in the majority of households. Women spent their significant time in the field in the absence of men at home but the available equipment used for agriculture work seems more incompatible for them. Workloads have been increased for no guaranteed possibilities are observed that the absent population will resume their farm activities upon their arrival to the village. Local Government has the full of authority to research, plan and execute the realistic agricultural and livestock policy. An identification of need-based skills, training, and compatible equipment and its’ wisefull uses for the advancement of production, processing and commercialization of agriculture is the collective voice of rural farmers.
Impacts of Foreign Employment on People’s Lifestyles in Diktel Rupakot Majhuwagadhi Municipality
Authors: Rai Shyam Kumar
Published: February 2025

This study has been carried out to explore the relevancy and rationale of foreign employment that has affected to society. Due to the fast technological changes, bilateral agreements between countries and diplomatic relations among countries have brought changes in the trend of foreign employment. So, this paper aims to explore the impacts of foreign employment on people’s lifestyles relating to the current situation and to find differences between now and then along with the utilization of remittances. The target population was selected from Diktel Rupakot Majhuwagadhi Municipality ward no. 2 and 10. The sample size was 20 altogether. A purposeful sampling method was applied to select the sample size. Semi-structured questionnaires, focused group discussions, field visits and observation were administered to collect the data from the informants. The mixed method is implemented in this study. Previous literature and current practices of foreign employment methodologically have been analyzed. The findings show that informants' overall perception of foreign employment's impacts on people’s lifestyles is positive. The remittance support system for society has been found effective. On the other hand, the divorce between husband and wife, blaming unethical character to the woman by the community whose husband has migrated for foreign job, and children being without the support of father and mother are some of the few negative consequences of foreign employment.
Analysis of Causes for Extension of Time in Construction Projects: A Case Study of Kageshwori Manohara Municipality
Authors: Nepal Sunil , Kumar Bhattarai Subash , Sukamani Dinesh , Nepal Sujan
Published: February 2025

Extension of Time (EoT) claims are a common occurrence in construction projects worldwide, often leading to disputes due to insufficient attention to delay causes during the contract initiation phase. However, in the context of Kageshwori Manohara Municipality, these challenges are particularly pronounced due to localized factors. This study identifies key causes of EoT through qualitative and quantitative analyses, utilizing Principal Component Analysis (PCA), Kaiser-Meyer-Olkin (KMO) testing, Bartlett's Test of Sphericity, Eigenvalue and variance analysis, and reliability assessments using Cronbach's Alpha. Principal Component Analysis (PCA) helped to categorize twelve major EoT causes into three components: Design and Consultant-Related Issues (Eigenvalue: 13.892, Variance: 55.57%), Project Management and Execution Challenges (Eigenvalue: 1.146, Variance: 4.58%), and External and Unforeseen Conditions (Eigenvalue: 1.000, Variance: 4.00%). Significant causes include inadequate design information, poor project management, and unforeseen challenges like land acquisition disputes. These causes were ranked using the Relative Importance Index (RII) to prioritize their impacts on project time extensions. The authors believe that present findings illuminate the need for improved design and planning processes, along with adaptive project management practices to mitigate EoT claims and enhance project performance within the municipality.
देवकोटाका काव्यमा रहस्यवादी चेतना
Authors: गडतौला Gadtaula नारायण Narayan
Published: February 2025

रहस्यवाद मानवीय संज्ञानको एउटा महवपूर्ण वृत्ति हो । यसले इन्द्रिय भन्दा परका सत्य तथ्यलाई अनुभूतिको विषय बनाएर ग्राह्य बनाउँछ । यस लेखमा लक्ष्मीप्रसाद देवकोटाका कृतिलाई प्राथमिक स्रोतसामग्रीको रूपमा तथा रहस्यवादी चेतनाको अवधारणालाई द्वितीयक स्रोतको सामग्रीको रूपमा उपयोग गरिएको छ । दुवै प्रकृतिका सामग्रीको सङ्कलन पुस्तकालयीय कार्यबाट गरिएको छ । विश्वका धर्म, दर्शनर साहित्य जस्ता वाङ्मयका विधाहरूमा रहस्यवादी चेतनाको अभिव्यक्ति भएको पाइन्छ । नेपाली साहित्यका शिखर व्यक्तित्व महाकवि देवकोटाका साहित्यिक कृतिहरूमा रहस्यवादी चेतनाको प्राचूर्य पाइन्छ । इन्द्रियातीत एवं विश्वातीत सत्य तथ्यका सूक्ष्म स्पन्दनलाई आकारित गर्ने देवकोटा अगोचर दुनियाँमा पुगेर तिनलाई आफ्ना कविता एवं निबन्धमा मुखरित गर्दछन् । मानवको हार्द एवं कल्पना ग्राह्य विषयमा विश्वास गर्ने देवकोटा बौद्धिक विषयलाई पनि रहस्यमा घोलेर कवितात्मक द्रवणको स्वरूपप्रदान गर्दछन्।
आरुको बोट कथामा शृङगार रस
Authors: भुसाल Bhusal राजु  Raju
Published: February 2025

प्रस्तुत लेख पदमावती सिंहद्वारा रचना गरिएको ‘आरुको बोट’ कथामा अभिव्यक्त शृङगार रसको अध्ययनमा केन्द्रित छ । यसमा रसको सैद्धान्तिक परिचयका साथै रस विधायक तत्व—विभाव, अनुभाव, व्यभिचारी भाव र स्थायी भावको चर्चा गर्दै यसका आधारमा प्रस्तुत कथाको विश्लेषण गरिएको छ । यस क्रममा प्रस्तुत कथामा आएका मुख्यमुख्य सातवटा मोडहरूलाई सात उपशीर्षकमा राखेर अध्ययन गरिएको छ । जवानीको रङ्ग चढदै गएकी यस कथाकी प्रमुख पात्र रश्मिलाई केन्द्र बनाएर लेखिएको यस कथामा रजस्वलाको एघार दिन गुप्तबास बसेको बेलामा उसमा देखिएको भाव—तरङ्गहरूलाई अत्यन्त सूक्ष्मरूपमा निरीक्षण गरिएको छ । रजस्वलाभन्दा अगाडि विपरीत लिङ्गीप्रतिको आकर्षण रश्मिमा नदेखिएको र रजस्वलापछि उसमा त्यसप्रकारको भावना विकसित हँुदै गइरहेको सन्दर्भ देखाएर यस कथालाई रति स्थायी भावलाई जागृत गर्ने श्रृङ्गारमूलक कथा हो भन्ने निष्कर्ष यस लेखमा निकालिएको   छ ।
Exploring The Role of Team-Oriented HRM in Promoting Teamwork of Teachers
Authors: Runhaar Piety , van Woerkom Marianne
Published: February 2025

Even though teachers’ teamwork is widely valued, because most teachers are used to working autonomously and in relative isolation, it is difficult to stimulate. This article examines the role of team-oriented human resources management (THRM) in fostering teamwork among teachers. THRM refers to all policies and practices that promote team performance by enhancing team members’ abilities, motivation, and opportunities for teamwork. Based on case studies of eight schools, this study examined intended THRM as written down in policy plans, actual THRM as implemented in practice, and perceived THRM as experienced by teachers. Results showed that the intended THRM was mostly restricted to rather abstract THRM mission statements and policy intentions. Team leaders played a key role in translating these policies into concrete THRM practices, resulting in differences in perceived THRM across teacher teams. The authors conclude with suggestions for how schools can enhance the alignment among intended, actual, and perceived THRM.
Lecciones aprendidas de treinta años de transformación digital en el periodismo: se necesita más planificación y menos improvisación
Authors:   Universidade de Santiago de Compostela, López-García Xosé , Rodríguez-Vázquez Ana-Isabel ,   Universidade de Santiago de Compostela, Casás José ,   Universidade de Santiago de Compostela
Published: February 2025

El periodismo digital ha consolidado su papel como institución en la sociedad red. Aquejado por los embates de sucesivos procesos de contaminación, inoculados por sus detractores y por malas prácticas de algunos actores, afronta el segundo cuarto de siglo de la mano de la alta tecnología. Lo hace con la experiencia cosechada en los últimos años, repletos de sucesivas transformaciones y adaptaciones, y con varias lecciones aprendidas de los éxitos y los fracasos. Tras muchas iniciativas que entraron en el ecosistema comunicativo bajo la alargada sombra de la improvisación, con el convencimiento de que en el mundo digital se precisaba poca capitalización y que había muchas oportunidades, ahora, treinta años más tarde, parece primar la planificación y el estudio detallado de los proyectos que se ponen en marcha.
No es un seguro de supervivencia, pero sí una garantía para desarrollar proyectos alejados de las especulaciones y defensores de las soluciones precisas para problemas concretos. A medida que los promotores de nuevos medios nativos digitales cuentan con asesores especializados en el campo y aplican resultados de la investigación científica, los proyectos evidencian más solvencia. Con la disruptiva emergencia de la Inteligencia Artificial generativa, los desafíos se multiplican y aparecen renovadas oportunidades para que, mediante alianzas entre consultores e investigadores en Comunicación, se mejoren los diseños de los nuevos periódicos digitales que, incorporando la IA en los procesos, cultiven un periodismo más humano y elaborado por humanos. En este momento, cuando el mundo periodístico diseña estrategias con la mirada puesta en el horizonte del 2030, lo que aconseja la experiencia cosechada de los últimos treinta años de periodismo digital es la aplicación de más planificación – estudiar y testear los proyectos – a fin de reducir el número de fracasos y fortalecer el ecosistema comunicativo digital con medios periodísticos digitales solventes y sostenibles.
The Path of Environmental Tourism Branding in ASIA
Authors: Mardiana Mardiana , Lihu Decky C. Kananto , Khuzaini Khuzaini , Hashemi Sayed Momin
Published: February 2025

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Análisis de las técnicas de aprovechamiento de biomasa en América Latina
Authors: Peña Murillo Sandra Emperatriz , Santamaría Robles Ana María , Zambrano Nevárez Eddie Manuel , Castillo Tomalá Kengy Lisbeth
Published: February 2025

Latinoamérica cuenta con recursos de biomasa para combatir el cambio climático y generar energía limpia a partir de residuos agrícolas y urbanos. El objetivo es objetivo analizar el aprovechamiento y uso de biomasa en América Latina, mediante investigaciones recopiladas de la Universidad de Guayaquil. Se identificaron proyectos en varios países, destacando Argentina con 60-80 plantas de biogás, Brasil utilizando caña de azúcar, y Colombia con un 17% de residuos forestales. Otros países como Ecuador, Bolivia, Costa Rica, El Salvador, Honduras, Perú y Uruguay también están avanzando en este ámbito. A pesar de los desafíos legales y tecnológicos, hay un creciente compromiso hacia la biomasa en la región.
Acceso dinámico al espectro: estado actual, tendencias y retos
Authors: Galvis Quintero Alexander
Published: February 2025

This paper is about the development and progress of technologies that improve the use of electromagnetic spectrum, focusing on several useful techniques for dynamic spectrum access in future wireless networks. Some of the most important projects are mentioned; later the significant orientations that are used for the solution of emerging problems are briefly described. Other topics as the challenges currently faced by researchers in the field, and the trends on evolution of wireless networks to be able to meet the requirements that have been imposed are treating. The main objectives of this paper are motivating to the academic and scientific community for awakening an interest on the topic and, in this way start to work on it, besides achieve the interest of industry and the general sector in those topics.
Análisis cuantitativo del comportamiento del mercado de acceso banda ancha al servicio de internet residencial en Colombia, visto desde la dinámica de sistemas. Versión 0.1
Authors: Flétscher Bocanegra Luis Alejandro , Gallón Londoño Luciano
Published: February 2025

The System Dynamics is emerging as an alternative to the traditional techniques ofinformation analysis, since it permits analyze and synthesize different structural causesthat promote the behavior of interest. However, this involves raising awareness on therole of each element and how different actions carried out on parts of it, accentuate orattenuate the trend implicit in it (Garcia, 2007).Taking this aspects Into consideration, this article presents the first version of the modelto be developed within the research project "Model Market Access to BroadbandInternet Service to Residential, an Approach from the System Dynamics", in which thedifferent elements present in the market will be considered, and a simulation of theirbehavior will be conducted, using the Vensim PLE version 5.8c (2007) software,designed to work under the focus of system dynamics.
Algunas Experiencias Que Han Contribuido A Mejorar El Proceso De Enseñanza-Aprendizaje De Las Matemáticas
Authors: Uzuriaga López Vivian Libeth , Martínez Acosta Alejandro
Published: February 2025

This article presents classroom experiences which have been implemented in some math courses that are taught at Universidad Tecnológica de Pereira, whose theoretical approach is the Learning Developer.
For this work some methodological practices have been considered:
Students´ background when they take any subject, these are valuable experiences at the time of introducing a new knowledge.
The relation between mathematics and daily life.
The importance of mathematics as a theoretical support in scientific and technological developments and their historical evolution and human cultural creation that has allowed the emergence and progress in different mathematical areas and knowledge.
These experiences are the result of the research project: “Methodological Practices to improve the Linear Algebra Teaching and Learning, involving new Information and Communication Technologies”.
Pensar en otra ciencia ficción
Authors: Ramírez Morales Klinger
Published: February 2025

The article introduces a background about the history of science fiction from those times before Christ until our days; in addition, it presents the technological advances based on the development of the nanotechnology, its origins, its measure units, its benefits, its dangers for humanity, and some of the scientific institutions that work on the topic around the world. It invites to think of a different kind of science fiction benefic for humanity. It shows the way Colombia has advanced in scientific research, according to reports given by Colciencias, and offers some suggestions on how this new society should get prepared to face future developments.
Uso De Las Tics Y Objetos De Aprendizaje Para La Enseñanza De Las Matemáticas En La UCPR
Authors: Murcia Londoño Euclides , Córdoba Vargas Héctor
Published: February 2025

This article presents the development and implementation of an active strategy supported on the technologies for communication and information, which make it easier the teaching and learning process among teachers and students in the classroom. That strategy will befocused specifically on those students who are taking mathematics courses in the different academic programs at Universidad Católica Popular del Risaralda. The main objective with this project is that the students improve their knowledge about this area and develop the minimal competences related to the subject.
As it is mentioned in the National Plan on technologies for communication and information, “the use of these technologies has changed the social customs and the way people interact. They have improved the opportunities for many people who were traditionally excluded, and the social mobility has been increased. These technologies have also changed the way people learn and the role of teachers and students. It has also demonstrated that the learning process cannot be measured in terms of time, it must be developed along the life of each person”.
It is important to remark that technologies for communication and information are a resource for the improvement of the teaching practice, but taking into consideration the human being. This is the reason why, the methodology proposed is based on the institutional ethic andeducative principles, looking forward pedagogic theory, pedagogical practice, and the use of technologies for communication and information applied for the teaching and learning process of mathematics, will contribute to get as a result, students who will become people, professionally and capable people.
Social Context of Face-Threatening Acts in Abu Ubaidah’s Speech on Al Jazeera Channel
Authors: Aldrian  , Muassomah  , Halimi
Published: February 2025

This research examines Face-Threatening Acts (FTAs) in Abu Ubaidah's speech on Al Jazeera's YouTube channel within the context of the Israel-Palestine conflict. Unlike previous studies focused on Western political discourse, this research uncovers distinct face management patterns within Arab-Islamic political communication broadcast globally. Using a qualitative approach with pragmatic discourse analysis, the research analyzes Abu Ubaidah's speech on the Gaza conflict on April 23, 2024. Data collection involved indirect observation through watching and transcribing the speech video, complemented by literature review. The analysis combines Brown and Levinson's politeness model with Miles and Huberman's data reduction, display, and conclusion drawing framework. The findings reveal Abu Ubaidah's strategic use of FTAs for delegitimizing adversaries, constructing resistance identity, and fostering solidarity, with 23 FTAs targeting positive face and 19 targeting negative face. The novelty of this research lies in its focus on the interaction between FTAs and the social context as markers of cultural-religious identity in Arab political discourse during conflicts, and providing new insights into how FTAs is employed to achieve communicative and ideological goals in non-Western contexts. This research recommends further exploring communication strategies in similar conflicts through various linguistic approaches.
Microarray Profiling of Arabidopsis thaliana Transcriptome: A Genome-Wide Exploration of High Light Stress Responses
Authors: Patyal Naina , Mundla Srilatha , Saddala Madhu Sudhana
Published: February 2025

Light is a vital environmental factor influencing plant growth, development, and survival. Plants must continuously adapt to fluctuating light intensities to optimize photosynthesis while minimizing damage caused by excess light. High-light stress triggers a range of molecular responses, including transcriptional reprogramming, activation of antioxidant pathways, and modulation of secondary metabolite biosynthesis. In this study, we investigated the genome-wide transcriptional responses of _Arabidopsis thaliana_ to high-light conditions using publicly available microarray data (GSE22671). The dataset comprised nine experimental arrays representing dark, control, and high-light treatments. Robust quality control and normalization methods ensured the reliability of the data, facilitating accurate downstream analysis. Differential gene expression (DGE) analysis identified 143 significant genes in Control vs Light and 217 significant genes in Dark vs Light, with no significant changes observed in Dark vs Control. Notably, genes encoding light-harvesting complex proteins (_LHCB1_, _PSBA_) and ROS detoxification enzymes (_APX1_, _CAT2_) were significantly upregulated under high-light conditions. These genes play critical roles in photosynthetic efficiency and oxidative stress mitigation, highlighting the plant's adaptive strategies to maintain cellular homeostasis. Gene ontology (GO) analysis further revealed enrichment in biological processes associated with photosynthesis, oxidative stress response, and secondary metabolite biosynthesis. Specifically, phenylpropanoid pathway genes, such as _PAL1_, demonstrated increased expression, underscoring their importance in cellular protection and UV damage mitigation. Heatmaps and volcano plots illustrated distinct clusters of gene expression, emphasizing the differentiation in transcriptional activity under varying light conditions.

The findings of this study provide valuable insights into the molecular mechanisms underlying light stress adaptation in plants. The identified pathways and genes present promising targets for biotechnological interventions aimed at enhancing crop resilience and productivity under abiotic stress conditions. Future research should explore the integration of multi-omics approaches to uncover additional regulatory layers and validate the functional roles of the identified genes in diverse plant species. This study establishes a foundational framework for advancing our understanding of plant-environment interactions under dynamic light conditions.
Innovative Solutions and Benefits of Microservice Architecture for Software Products
Authors:   Central Ukrainian National Technical University, Ulichev Oleksandr , Dorenskyi Oleksandr ,   Central Ukrainian National Technical University, Kulahin Victor ,   Private Higher Education Establishment "European University" Kyiv, Ukraine
Published: February 2025

The rapid advancement of technology and increasing market competition compel businesses to adapt swiftly by implementing new features and services to meet user demands. Traditional monolithic software architectures often hinder this agility due to challenges in scalability and maintenance. This article aims to analyze microservice architecture to solve these challenges, exploring its historical development, current trends, practical implementation aspects, and comparison with alternative architectural styles such as modulith architecture.
The study examines the limitations of monolithic architectures in handling growing complexity and scaling requirements. It explores the emergence of microservice architecture, highlighting core characteristics like independent services, decentralized data management, and autonomous deployment. The evolution influenced by agile methodologies and DevOps practices is discussed. A comparative analysis with other architectural styles—including monolithic, service-oriented, modular monolithic, and serverless architectures—identifies contexts where microservices are most beneficial. The research reviews essential tools and technologies for implementing microservices, such as Docker for containerization, Kubernetes for orchestration, and service meshes like Istio and Linkerd. Practical cases from industry leaders like Netflix and Amazon illustrate successful adoption and the challenges faced during implementation.
Findings indicate that while microservice architecture offers significant scalability, flexibility, and rapid deployment advantages, it also introduces complexities related to distributed system management and security. The study emphasizes the importance of adopting best practices and standards, such as those promoted by the Cloud Native Computing Foundation and utilizing modern tools to mitigate these challenges. For organizations where full microservices adoption may be impractical, modulith architecture is a viable alternative that combines modularity with deployment simplicity. The article concludes that the choice of architecture should be carefully aligned with the project's specific needs, resources, and long-term strategic goals.
Methods of assessing the effectiveness of state ownership
Authors:   Esil University, Chereyeva В. , Shukeev U. ,   Esil University, Abayeva G. ,   Kostanay Regional University named after A. Baitursynov
Published: February 2025

This scientific publication discusses methods for evaluating the effectiveness of state property. State property is an important tool for economic development and ensuring public welfare. However, the definition and measurement of the effectiveness of state property is difficult due to its characteristics and socio-economic context. The purpose of this publication is to review and analyze various methods of evaluating the effectiveness of state property. The article discusses both qualitative and quantitative methods, as well as indicators and indicators used to measure the effectiveness of state ownership. The authors reveal the theoretical aspects of state property and its role in the economy. Then a review of various methods of evaluating effectiveness, such as economic analysis, financial indicators, social and environmental criteria, is carried out. The article presents examples of studies based on the application of these methods for assessing the effectiveness of state ownership in various countries and sectors of the economy. The results of these studies allow us to identify the strengths and weaknesses of state property and offer recommendations for its optimization. As a result of the study, it is concluded that there is a need for an integrated approach to assessing the effectiveness of state property, taking into account economic, social and environmental aspects. This approach will make it possible to make informed decisions regarding the management of State property and contribute to the achievement of economic growth and social development.
Enhancing Enterprise Decision-Making : The Role of Workday Reporting and Dashboards in Large Organizations
Authors: Lakhamraju Manoj Varma
Published: February 2025

Enterprise Resource Planning (ERP) systems have transformed how businesses operate by unifying processes across finance, human resources, and operations. These systems improve data management, streamline workflows, and boost efficiency through automation and analytics. Workday stands out as a top ERP solution, recognized for its sophisticated reporting and dashboard capabilities that offer real-time insights crucial for informed decision-making. With Workday’s reporting tools, IT and HR teams can create tailored reports that enhance workforce planning and financial oversight. The dashboards work in tandem with reporting by visualizing key performance indicators (KPIs), making data easily accessible for managers and executives. Together, these features enhance operational control and promote data-driven strategies. The platform supports various report types, such as standard, matrix, and composite reports. Standard reports come with predefined templates for key metrics, while advanced reports allow for in-depth analysis with improved filtering and security options. Matrix reports enable cross-tabular analysis, and composite reports compile data from multiple sources for a holistic view. Dashboards provide dynamic visualizations, facilitating real-time monitoring and proactive decision-making. However, despite its advantages, Workday’s reporting and dashboards can pose challenges, including data complexity, the need for user training, security issues, and system performance concerns. Organizations can address these challenges by establishing standardized data governance policies, utilizing Workday Prism Analytics for effective data integration, and implementing structured training programs. Role-based access controls and regular security audits help reduce security risks, while refining report structures boosts performance. Future developments in Workday reporting and dashboards are expected to feature AI-driven predictive analytics and improved workforce planning. Enhanced access controls and user-friendly design improvements will make report generation and dashboard customization easier. This research explores Workday’s reporting and dashboard functionalities, focusing on implementation strategies, challenges, and future trends. The insights gained will assist organizations in optimizing ERP analytics, enhancing decision-making, and achieving greater operational efficiency.
SAS Meets Machine Learning: An Adaptive Framework for Healthcare Data Fusion
Authors: Srinivasa Susrutha Kumar Nayudu Ambati
Published: February 2025

A Hybrid Approach to Healthcare Data Fusion using SAS and Machine Learning presents a novel framework for integrating traditional SAS-based data management capabilities with modern machine learning algorithms to address the complex challenges of healthcare data integration. This article introduces an adaptive architecture that leverages SAS's robust data processing features alongside specialized machine learning models for entity resolution, missing data imputation, and data quality assessment. This article demonstrates significant improvements in data completeness, accuracy, and consistency compared to traditional methods alone, particularly when handling heterogeneous healthcare data sources, including electronic health records, clinical trials, and medical device outputs. Through a comprehensive article implemented at a major hospital system, this article showcases how this hybrid methodology effectively resolves common integration challenges such as semantic inconsistencies, temporal misalignment, and variable data quality while maintaining regulatory compliance. The proposed framework offers healthcare organizations a scalable, maintainable solution that combines the reliability of established SAS procedures with the adaptability of machine learning techniques, establishing a new paradigm for healthcare data fusion.