bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of an open-label placebo on visual attention directed to food high in sugar, appetite, and desire for sweet taste
Authors: Potthoff Jonas , Schienle Anne
Published: November 2024

Background: Interventions with deceptive placebos can reduce visual attention directed to highcaloriesweets. However, employing this type of treatment raises ethical concerns. Therefore, in thepresent eye-tracking study, open-label placebos (OLPs) were administered with full disclosure.Methods: Fifty-three females (mean age = 22.8 years) were presented with image pairs depicting foodhigh vs. low in sugar as well as non-food items. The image presentation was conducted once with andwithout an OLP. Different indicators of visual attention (total fixation duration, number of fixations,first fixation location), general appetite and the desire to eat the depicted food items were assessed.Moreover, participants blind-tasted and evaluated a sucrose solution to determine their desire for thesweet taste.Results: The OLP decreased general appetite and the desire to taste the sucrose solution again. Theintervention did not affect visual attention: both conditions (with/without OLP) were characterized bya longer total fixation duration and a higher number of fixations for images with low-sugar foodcompared to high-sugar food when presented alongside images of non-food.Conclusion: The OLP did not reduce visual attention toward images of high-sugar food. Thus, the OLPwas less effective than a comparable treatment with deceptive placebos.
Investigating how administrative burden and search costs affect social inequalities in early childcare access, a randomised controlled trial
Authors: Carbuccia Laudine , Heim Arthur , Barone Carlo , Chevallier Coralie
Published: November 2024

Access to high-quality early childcare for low socioeconomic status (SES) households has the potential to mitigate socioeconomic inequalities. Yet, there is an SES-based gap in early childcare enrolment. While low-SES households would benefit the most from attending early childcare, they access early childcare the least. This study tackles cognitive and behavioural barriers behind this access gap. We test the effectiveness of informational interventions and personalised support to enhance early childcare application and access for low-SES households through a multi-arm experiment. Results reveal that the information-only treatment had minimal impact while adding personalised support significantly bridged the SES-gap in early childcare applications. However, despite large impacts on application rates, we found limited impacts on access rates for low-SES households. By identifying key obstacles to early childcare access for low-SES households, our research underscores the need for effective strategies to promote equal opportunities in early childhood education.
Who Is Winning The Market Game? Market Importance-Performance Analysis As A New Approach For Multi-Product Market Research
Authors: Smolinski Pawel Robert , Januszewicz Joseph , Winiarski Jacek , Pawłowska Barbara
Published: November 2024

This study introduces Market Importance-Performance Analysis (MIPA), a new comparative analysis approach that extends traditional Importance-Performance Analysis (IPA) to analyze multiple competing products simultaneously. We propose two standardized metrics—Market Standardized Performance (MSP) and Market Standardized Importance (MSI) scores—that compare products across attributes relative to market trends and heterogeneity. We also develop a novel visualization and interpretation framework leveraging MIPA matrices that enables intuitive understanding of product or service market positions and competitive advantages. We validate MIPA through a case study of the social media communication platforms market (N = 614), which reveals four distinct market positions: Performance Maximizers (e.g., Facebook Messenger), Default Market Products (e.g., Instagram), Successful Differentiators (e.g., Signal), and Underperformers (e.g., Twitter). The results demonstrate how MIPA effectively identifies competitive advantages, market positioning, and differentiation strategies. Our method maintains consistent interpretations across measurement scales and contexts while providing clear mathematical interpretations and intuitive visualizations through MIPA matrices and radar plots. We discuss limitations regarding the static nature of analysis and data collection methods, and propose future research directions incorporating digital data sources.
Dynamic Neural Embedding for Contextual Regeneration in Large Language Models
Authors: Kuse George , Rosenbaum Arthur , Chanterelle Isabella , Harvington George
Published: November 2024

A novel embedding methodology capable of dynamic realignment with evolving contextual inputs is introduced, addressing longstanding challenges in maintaining coherence across extended sequences. The proposed approach integrates a real-time contextual regeneration mechanism, enhancing the ability of language models to retain semantic consistency through adaptive embedding adjustments. By incorporating feedback-driven token realignment, the framework ensures logical continuity in generative tasks without incurring significant computational overhead. Quantitative analyses demonstrate significant gains in context retention and semantic fidelity across multiple benchmark datasets, with a marked reduction in error propagation during sequential interactions. The system’s scalability is evident in its efficient handling of extended input lengths, maintaining robust performance across tasks such as summarization, machine translation, and domain-specific text processing. Through the integration of kernel-based approximations and hierarchical attention mechanisms, the framework optimizes computational resource usage while sustaining high accuracy in complex linguistic representations. Comparative studies highlight the model's adaptability to specialized vocabularies, particularly in fields requiring complex contextual understanding. The robustness of the embedding design is further validated through its performance in low-resource and ambiguous input scenarios, where conventional methods exhibit significant degradation. Error analysis demonstrates the effectiveness of the regeneration mechanism in reducing cumulative inaccuracies over iterative interactions. Results confirm the framework’s capacity to balance scalability with contextual depth, setting a precedent for future advancements in embedding-based architectures. The proposed methodology redefines the boundaries of language model capabilities, achieving an unprecedented synthesis of efficiency, adaptability, and semantic coherence. The findings offer substantial contributions to the evolution of linguistic processing architectures, establishing a benchmark for future innovation.
Assessing Urban Change A Review of 2024's Infrastructure and Environmental Developments in New York City
Authors: Mei Chunyan , Wen Jing , Wu Zhuhai
Published: November 2024

Assessing Urban Change: A Review of 2024's Infrastructure and Environmental Developments in New York City explores the city's ongoing transformation in response to both infrastructural and environmental challenges. This comprehensive analysis highlights major projects and initiatives that are reshaping New York's urban landscape, illustrating the city's efforts to enhance transportation, housing, and community resilience amid increasing pressures from climate change and a growing population.In 2024, New York City is witnessing significant infrastructure investments, including the ambitious Gateway Program, which seeks to modernize rail connections and is projected to generate substantial economic benefits. Other key projects such as the Interborough Express and the Second Avenue Subway West Extension aim to improve transit efficiency and accessibility. Concurrently, the city’s commitment to affordable housing is reflected in the '24 in 24' plan, targeting the development of over 12,000 new housing units, thus addressing the pressing housing crisis while fostering economic revitalization across neighborhoods.Environmental sustainability is a core focus of New York City's 2024 initiatives, with policies like Clean Construction Executive Order 23 aiming to significantly reduce greenhouse gas emissions from construction projects. Community resilience efforts, such as the Broad Channel project designed to combat flooding and rising sea levels, underline the city's proactive approach to addressing climate vulnerabilities. Public engagement has been a crucial element of these initiatives, as community members voice their concerns and contribute to discussions on urban planning and environmental justice.Despite these advancements, New York City faces ongoing challenges, including inadequate infrastructure and the effects of historical environmental injustices that disproportionately impact marginalized communities. As the city strives to balance development with sustainability, collaborative efforts among local organizations, government bodies, and residents remain essential in shaping a resilient urban future. The continuous community involvement in these processes highlights the importance of addressing both infrastructural needs and social equity in the city’s evolving landscape.
VolcAshDB – A global database of volcanic ash particles
Authors: Benet Damia
Published: November 2024

Volcanic ash is made of particles smaller than 2 mm and is produced during volcanic eruptions. Studying the properties of volcanic ash is key for a range of applications, including volcano monitoring. However, given the large variety of textures, colors, and shapes of particles from different eruptions and volcanoes it is challenging to classify them in a reproducible and systematic manner. Here, we present an open access web-based platform that displays the contents of a database of volcanic ash particles, VolcAshDB (https://volcashdb.ipgp.fr/). Particle data includes optical microscope images, physical characteristics of the shape, texture and color, and a classification label with the particle type (free-crystal, altered material, juvenile or lithic). It currently hosts data of 12,044 particles from 53 samples across 13 volcanoes that can be visualized and downloaded in a user-friendly manner. The database has already been used to develop particle classifiers with Machine Learning. We plan to continue it to grow and encourage the volcano community to contribute towards standardizing volcanic ash classification.
The HIV Anxiety Scale (HAS): Developing and Validating A Measure Of Human Immunodeficiency Virus (HIV) Anxiety.
Authors: Cahill Liam , Gifford Anthony Joseph , Jones Bethany A , McDermott Daragh
Published: November 2024

Background: Most research assessing HIV anxiety relies on single-item measures or psychometric measures that are outdated in terms of concepts and language. There is a critical need for a robust, reliable, and contemporary measure to identify populations at risk of avoiding HIV testing, treatment, and prevention, thereby supporting global HIV eradication goals. Method: Focus groups informed the initial development of the HIV Anxiety Scale (HAS), revised through expert feedback. The factor structure was assessed in two studies. In Study 1, an Exploratory Factor Analysis (EFA) was conducted with 251 participants. In Study 2, a Confirmatory Factor Analysis (CFA) with 200 participants was performed alongside validity, internal consistency, and measurement invariance assessments. Findings: Studies 1 and 2 supported a 3-factor model, resulting in a 16-item measure with the following subscales: Psychosocial Implications of HIV, Lifestyle Implications of HIV, and HIV Testing Anxiety. The HAS demonstrated a good factor structure, acceptable validity and excellent internal consistency across diverse groups in Study 2. Conclusions: The HAS provides a contemporary, robust measure of HIV anxiety, addressing limitations of previous tools and contributing to efforts to identify and support populations at risk of HIV avoidance behaviours.
Acquiring Constraints on Filler-Gap Dependencies from Structural Collocations: Assessing a Computational Learning Model of Island-Insensitivity in Norwegian
Authors: Kobzeva Anastasia , Kush Dave
Published: November 2024

Children induce complex syntactic knowledge from their native language input. A long-standing discussion focuses on types of learning biases that help them arrive at correct generalization and solve induction problems posed by impoverished input. Studies employing computational models for learning specific language phenomena serve as testing grounds for evaluating types of biases required for successful acquisition. Recent work by Pearl and Sprouse (2013b) demonstrates that a distributional learner that tracks trigrams over structurally annotated input can acquire wh-filler-gap dependencies and island constraints on them in English. While intriguing, it is unclear yet whether a similar distributional learning model is a viable mechanism for learning island facts in other languages given the possibility of cross-linguistic variation. In this study, we explore whether a distributional learner can acquire wh- and relative clause filler-gap dependencies and island constraints in Norwegian from child-directed annotated text. We find that the proposed learning strategy can capture some patterns of island-insensitivity in Norwegian while failing to learn others due to a lack of relevant data in the input. Our findings suggest that given limited input data, a simple n-gram-based distributional learning over structured representations may not be sufficient to fully recover human-like knowledge of filler-gap dependency relations and island constraints cross-linguistically.
Replicable evidence for uncalculating cooperation as a signal of trustworthiness
Authors: Jordan Jillian , Rand David Gertler
Published: November 2024

We investigate the replicability of prior work (Jordan et al., 2016) hypothesizing that “uncalculating cooperation” (i.e., cooperation without careful consideration of the costs and benefits) can signal an actor’s commitment to behaving prosocially, and thus trustworthiness. Jordan et al. found that subjects recruited from Amazon Turk make less calculating cooperative decisions when their decision-making process is observable to others, suggesting that uncalculating cooperation is used to signal trustworthiness. Moreover, Jordan et al. found that uncalculating cooperation is perceived as a signal of trustworthiness (subjects preferentially trust cooperators who made uncalculating, rather than calculating, decisions) and actually is a signal of trustworthiness (uncalculating cooperators actually behave in a more trustworthy manner). A recent replication effort (Holzmeister et al., 2024)—investigating the replicability of 26 studies with MTurk samples published in PNAS between 2015-2018—attempted to replicate the finding that observability increases uncalculating behavior, with mixed results (a significant effect in one, both not both, of two batches of data collection). However, subjects in both batches of Holzmeister et al. data, who were recruited directly from MTurk, performed relatively poorly on task comprehension questions compared to Jordan et al., 2016. We thus present results from an additional pre-registered replication of Jordan et al., 2016, conducted through the CloudResearch platform, that recruited a more attentive sample (comparable to the original study), as well as analyses drawing on all studies collected thus far. Together, we find strong evidence that uncalculating cooperation is used as, perceived as, and actually is a signal of trustworthiness, especially among attentive samples.
Pressing need for clinical trial research on dimensional personality disorder
Authors: Zavlis Orestis , Luyten Patrick , Pilling Stephen , Fonagy Peter
Published: November 2024

A decade has passed since the introduction of dimensional diagnostic systems for personality disorder. Yet, despite this pass of time, national health guidelines, like UK’s NICE, have not been updated since the previous categorical model of personality disorders. In this brief report, we show that there have only been three clinical trials on dimensional personality disorder in the last decade, highlighting the pressing need for clinical trial research on this important class of mental health problems.
Resource-Specific Generosity
Authors: Ziano Ignazio , Liu Peggy J. , Crosetto Paolo
Published: November 2024

People are less generous with money compared to other resources. In multiple dictator game studies, people allocated less money to others (vs. themselves) compared to other resources (food, goods, space, time). This effect generalized across participant samples in France and the U.S., real and hypothetical allocations, and when people allocated one or multiple resources. On average, people allocated 32% of their monetary resources to others (36% when hypothetical, 17% facing real incentives), whereas for non-monetary resources, they allocated 15-percentage-points more to others (14 percentage-points more when hypothetical, 18-percentage-points more facing real incentives). The effect was mitigated, but not eliminated, when the non-monetary resource was highly liked or fungible. These findings indicate a robust tendency to be less generous with monetary versus non-monetary resources.
Younger and older adults’ aging well construals: A quantitative word use and topics comparison
Authors: Pfeifer Valeria , Jordan Kayden , Chilton Trish , Grilli Matthew D. , Mehl Matthias R.
Published: November 2024

Introduction: Individuals’ construals of aging capture how they think of aging, and what aging well means to them. Assessing such construals is important for understanding attitudes towards aging and, ultimately, how to tailor personalized aging well interventions to an individual.Methods: We analyzed 100 younger adults and 92 older adults’ spoken narratives of what aging well means to them using two language analysis approaches, closed vocabulary, word-count analysis via Linguistic Inquiry and Word Count (LIWC) and open vocabulary, word-co-occurrence analysis via topic modelling. Results: Younger and older adults’ spoken narratives differed in both word and topic use. Younger adults used more words related to physical aspects, more tentative language, and expressed themselves via higher status language (clout), while older adults used authentic language, i-talk, and words related to work, home, family, and religion. Topic modelling complemented the LIWC analyses and showed that younger adults primarily discussed topics of bodily and cognitive decline, and strategies of preventing aging, conveying concerns about, and negative stereotypes of aging. Older adults topicalized family reflections, openness to new experiences, and their social engagement, signaling a more positive outlook on (continued) aging.Conclusion: Our complimentary word-count and word-co-occurrence language analyses of aging well construals revealed stark differences between younger and older adults’ perceptions of aging well, that raise important questions about intergenerational exchanges and communications about aging more broadly. Further, we found that aging construals of older adults are useful for estimating their future outlook, an important aspect of resilience against cognitive decline and possible entry point for targeted precision aging interventions.
Effect of different weed management practices on growth and yield of spring rice (Oryza sativa L.) in Banke, Nepal
Authors: Bista Samiksha , Bhatta Sandesh , B.K. Kamal , Pandey Nikita , Shreepaili Briksha , Basnet Bishesh
Published: November 2024

Rice (Oryza sativa L.) is the most important crop in Nepal, despite having significant contribution to food security and agricultural economy, its production is being affected greatly by weed infestation. A field experiment was conducted during the spring season of 2022 to evaluate the different weed management practices in transplanted spring rice at Radhapur, Banke, Nepal. Seven weed management treatments were laid in Randomized Complete Block Design (RCBD) with three replications. The treatments were pre-emergence application of Pendimethalin 50% EC, 1 kg a.i./ha, at 3 DAT, post-emergence application of Bispyribac Na 10% SC, 25 g a.i./ha, at 28 DAT, pre-emergence application of Pendimethalin followed by post-emergence Bispyribac Na, Pre-emergence application of Pendimethalin followed by one hand weeding at 40 DAT and Farmer’s practice i.e. one hand weeding at 40 DAT along with two controls (weedy free and weedy check). The rice variety Hardinath-1 was used in the experiment. Data regarding the weed flora, weed density, weed dry weight, rice growth, yield attributes and yield was recorded and analyzed. Weed flora in the experimental plot comprised of 11 weed species viz. five were broadleaf weeds belonging to four families, four grasses belonging to Poaceae family whereas three sedges belonging to Cyperaceae family. Sedges weeds were dominant as compared to broadleaf and grasses. The highest number of effective tillers per m2 (413) and number of grains per panicle (101.33) were obtained in Pendimethalin followed by Bispyribac Na treated plot. The plot treated with combination of pre-emergence followed by post emergence recorded significantly the lowest weed density (9.67 weeds/m2) at 60 DAT. This treatment significantly gave higher grain (4780 kg/ha), straw yield (4318 kg/ha) yield, harvest index (52.55%), other traits like sterility (22.19%) was recorded least and thousand grains weight was significantly higher (23.61g). The yield on weedy check plot produced the lowest yield as compared to weed free plot. Sedges weeds such as Cyperus difformis, Cyperus iria and Fimbristylismiliaceae were dominant as compared to dicots such as Amaranthus spinosus, Chenopodium album and grasses such as Echinochloa crus-galli, Echinochloa colonum at the experimental field. The ultimate overall analysis revealed that the application of pre-emergence followed by post-emergence herbicide was the best treatment so far as compared to other weed management treatments considering various data regarding variables.
Field screening of linseed genotypes against alternaria blight (Alternaria lini)
Authors: Subedi Subash , Neupane Saraswati , Yadav Sailendra , Shrestha Jiban
Published: November 2024

Linseed (Linum usitatissimum L.) is a promising but underexplored oilseed crop in Nepal, with considerable expansion potential. However, it faces a significant threat from leaf blight disease, caused by Alternaria lini resulting in notable yield reductions. This study aimed to identify genetic sources of resistance to this pathogen. Fourty-two linseed genotypes, including resistant check ACC#7622 and susceptible check Sarlahi local, underwent disease resistance screening over two years (2021-2022) in field disease screening nurseries at the Oilseed Research Program, Sarlahi, using an incomplete block design. Each block contained seven genotypes, replicated twice. Disease severity, yield and yield attributing traits were assessed. Significant variations in disease and yield traits were observed among the genotypes over the years. While only 19% showed moderate resistance with minimal symptoms compared to susceptible types. None were immune and resistance, with 13 genotypes (31%) classified as moderately susceptible, 26% susceptible and 24% highly susceptible. A significant negative correlation (P≤0.05) between disease severity and grain yield was evident. Genotypes ACC#(5-ICLI-2001-5), ACC#96-001, ACC#7622, ACC#96-004, TN#04, ACC#(9-ICLI-2001-9), ACC#(1-ICLI-2001-1), and TN#08 demonstrated both high yield and moderately resistance to alternaria leaf blight, offering valuable genetic resources for enhancing linseed resilience to this disease through breeding initiatives.
Risk Assessment of Heavy Metal Accumulation in Leafy Vegetables Around Wastewater-irrigated Areas
Authors: Rahman Tawfeequa , Mostafa M.G.
Published: November 2024

The consumption of heavy metal-contaminated vegetables poses a threat to human health and the environment. This study assessed the level of heavy metals in selected leafy vegetables collected from wastewater-irrigated agricultural land located at Jalkuri Union of Siddhirganj Upazila in Narayanganj district of Bangladesh. The mean concentrations of metals were decreasing in the following order: Fe > Mn > Zn > Pb> Cr> Cu > Ni > Cd in wastewater, Fe> Mn > Cr > Zn > Ni > Pb> Cu> Cd in irrigated soil, and Fe > Zn > Mn> Cu> Pb > Cr> Ni > Cd in leafy vegetables. The contamination factor (CF) showed that the soils were moderate to highly contaminated by Cr and Cd. The pollution load index (PLI) and geo-accumulation index (Igeo) values of the analyzed samples revealed that the soils were non-polluted to moderately polluted. The target hazard quotients (THQ) for most of the metals were <1, suggesting non-carcinogenic health hazards for humans. The target carcinogenic risk (TCR) of heavy metals, except for Pb, was above the safe standard, suggesting a carcinogenic risk (CR) for their consumption. It is a matter of concern that regular intake of contaminated leafy vegetables in the area would increase health risk, as the hazard index (HI) was greater than 1. The study observed that vegetables should not be irrigated with contaminated water, and industrial wastewater must be properly treated before discharging into the environment.
A Graphical Programming Framework for Didactic Purposes
Authors: Horváth Roman
Published: November 2024

This monograph outlines the development and evolution of the GRobot framework, a graphical programming tool originally designed for didactic purposes. The framework, which began as a simple turtle graphics library, has evolved into a comprehensive programming framework that supports a wide range of applications, including application and tools programming, or simulation creation. The work highlights the framework’s core features, such as its ability to simplify programming education through visualisation and interaction, as well as the various use cases and applications that have emerged over the years. Additionally, the monograph discusses the technical challenges encountered during development and proposes future directions for further enhancement. While the framework was initially created for Slovak­‑speaking users, considerations for internationalisation are also explored. Overall, the GRobot framework represents a significant contribution to both programming education and practical software development.
Audience Reception Analysis of Feminism in Difficulty Being Woman Mata Najwa 2
Authors: Sekar Kedaton Kirana Ratu , Dewi Swastika Gabriela Laras
Published: November 2024

Social media exposure is impossible to avoid in this era and changes in communication behavior for individuals and groups to become more open and active. Based on Report data for 2023, there were 139 million YouTube users in Indonesia as of January 2023, which is estimated to increase to 81.82% of the population in 2026. This bombastic number is considered effective for spreading campaigns for women's rights and feelings through social media, which discusses stereotypes, gender equality, and feminism contained in Wati's 2022 research on Spreading Gender Equality Values Through YouTube. YouTube content that can accommodate it is "The Difficulty of Being a Woman Part 2" on the Najwa Shihab channel. Researchers want to find out how the media audience's reception of Najwa Shihab's content feminism using quasi-qualitative research method with reception analysis approach of the Stuart Hall encoding-decoding model and literature review. Observing and doing FGD with several informants who are included in the four Nightingale audience typologies namely audiences, media target audiences, and audiences with interactive experience. Researchers find that construction and media representation have a big impact on audience reception. The highest reception is on the difficulty being woman motion, meanwhile, the aged standard of woman married, the matters of beautifulness, and non idealistic reason of woman become leader is on negotiating. All informants refused the domestication and pregnancy plan charged to women. The audience as the people addressed is on opposite sides of every motion and the others give the diversity answers in each reading position.
Exploring the Dynamics of Interpersonal Communication in Inmate Rehabilitation Programs at LAPAS KELAS II A Kendari
Authors: Jamin Siti Nur Kholifah , Syamsu Khairunnisa
Published: November 2024

This study aims to determine the interpersonal communication of LAPAS employees in fostering assisted citizens in class II A Kendari Penitentiary. The research method used is descriptive qualitative, data collection in this study uses qualitative methods by observation, interviews, documentation and data analysis. This research involved 9 resource persons, namely 5 LAPAS employees and 4 assisted residents. The results showed that interpersonal communication of LAPAS employees in fostering fostered citizens involved several main aspects, namely. Openness from LAPAS employees is listening to complaints, opinions or ideas, providing good service and clearly providing information about the rules. Empathy of LAPAS employees understands and cares.The supportive attitude of LAPAS employees is in the form of moral support, material support, and assimilation support. The positive attitude of LAPAS employees is to be a good role model, control emotions, direct fostered residents in a good direction. The equality aspect of LAPAS employees is to be fair without any discrimination. Supporting factors for coaching are stakeholders, moral support from employees, premium wages for fostered residents, and security employees. The inhibiting factors of coaching are low awareness of fostered residents, low employee competence, and limited budget.Keywords: Coaching, Fostered Citizen, Interpersonal Communication.
Painless Multiple Cranial Neuropathies due to Symptomatic Bone Marrow Metastasis in First Diagnosis of Advanced Stage Breast Cancer: A Case Report
Authors: Lin Siriporn , Tantipisit Jarukit , Sanghan Nattha , Korathanakhun Pat
Published: November 2024

Metastatic breast cancer commonly involves the bone, liver, and lungs. While bone marrow metastasis (BMM) is rare, it has a significant association with distant recurrence and diminished survival rates. Typically, BMM manifests with hematological abnormalities and none of the previous reports revealed BMM as a first presentation in breast cancer patients. Herein is a reported case of painless, multiple cranial neuropathies as an unusual initial manifestation of symptomatic BMM, marking the first presentation of metastatic breast cancer.
On the possibility of processing technogenic flotation raw materials of Kazakhstani deposits with the use of a modified collector
Authors:   Satbayev University, Institute of Metallurgy and Our Beneficiation JSC, Turysbeko D. , Semushkina L. ,   Satbayev University, Institute of Metallurgy and Our Beneficiation JSC, Kaldybayeva Zh. ,   Satbayev University, Institute of Metallurgy and Our Beneficiation JSC, Tussupbayev N. ,   Satbayev University, Institute of Metallurgy and Our Beneficiation JSC, Narbekova S. ,   Satbayev University, Institute of Metallurgy and Our Beneficiation JSC, Musina M. ,   Satbayev University, Institute of Metallurgy and Our Beneficiation JSC
Published: November 2024

The purpose of work - flotation processing of copper-lead-zinc tailings using a modified collector - a mixture of modified butyl xanthate and aeroflot in combination with N-allyl-o-isobutylthionocarbamate. According to the results of X-ray fluorescence analysis in the initial sample of flotation enrichment tailings, the content of lead was 0.048%, copper - 0.03%, zinc - 1.501%, iron - 2.863%. The main part of tailings is represented by rock-forming minerals: quartz, calcite, talc, chrysotile, albite, clinochlore, muscovite, dolomite, and pyrite. The optimal basic reagent scheme of tailings flotation was selected: degree of regrind 78% of -0.040 mm class, sodium butyl xanthate consumption 150 g/t, T-92 frother consumption 80 g/t. Under the selected regime, a collective copper-lead-zinc concentrate was obtained containing 2.0% copper at 67.11% recovery; 1.6% lead at 62.02% recovery; 3.2% zinc at 62.02% recovery; 7.0% iron at 41.67% recovery; 4.1 g/t gold at 54.45% recovery. The reagent scheme of flotation of copper-lead-zinc tailings with the application of a modified collector was tested. Its application allows for increased recovery in the collective copper-lead-zinc concentrate: copper - by 9.63%, lead - by 8.41%, zinc - by 9.2%, iron - by 2.73%, gold - by 3.57%. At the same time the consumption of modified collector, compared to butyl xanthate, is reduced by 33%, and the consumption of basic foaming agent T-92 is reduced by 25%.
The Role of Gamification in Promoting Digital Literacy: Bridging the Gap between Fun and Learning
Authors:   Abai Kazakh National Pedagogical University, Rzabayeva D. , Kassymova G. ,   Abai Kazakh National Pedagogical University, Pratama H. ,   Sultan Idris Education University
Published: November 2024

Educators are exploring innovative methods to teach digital literacy engagingly as it becomes an essential skill in the 21st century. A powerful tool for enhancing student motivation and participation is gamification, which involves the use of game elements in non-game contexts. This article examines the role of gamification in promoting digital literacy among school-aged learners, emphasizing its ability to bridge the gap between fun and education. Using points, rewards, levels, and challenges as part of digital literacy lessons can create a more dynamic and interactive learning environment. This study explores the role of gamification in enhancing digital literacy among 5th and 6th-grade students. Involving 60 students aged 10 to 12, the research divided participants into two groups: one engaged in a fully gamified learning environment and the other instructed through traditional methods supplemented with gamification elements. Through pre-test and post-test assessments, the effectiveness of gamification strategies in improving digital literacy skills was evaluated. A variety of gamified approaches are described in the article, along with the benefits of increased student engagement and possible challenges about the balance between entertainment and educational objectives. Finally, practical strategies for implementing gamification in digital literacy programs are provided, offering educators a roadmap for fostering critical digital skills enjoyably and effectively.
Subjective Factors Contributing to the Development of Dependent Behavior in University Students
Authors:   South Ural State University of Humanities and Education, Valeeva G.V. , Tyumaseva Z.I. ,   South Ural State Humanitarian Pedagogical University, Urazaliyeva U. ,   SDU University, Putri C. ,   Universitas PGRI Yogyakarta, Kassymova G.K. ,   Abai Kazakh National Pedagogical University,   Institute of Metallurgy and Ore Beneficiation JSC, Satbayev University
Published: November 2024

This article explores dependent behavior, specifically drug addiction, as a subjective issue stemming from imbalances in human development. The subjective factors contributing to the development of dependent behavior are identified, including "I-concept", "life script", and relational styles. The importance of implementing advisory strategies focusing on the subjective aspects of health is emphasized, as these strategies can help improve students by fostering their internal wholeness. The purpose of this work is to explore and explain the subjective factors involved in the formation of dependent behaviors and to assess the effectiveness of advisory techniques that focus on the subjective dimension of health in addiction prevention. Materials and methods. The method of the research is the logical-theoretical analysis of psychological-pedagogical and ecological-valeological literature devoted to the problems of self-preservation behavior and health; diagnostic methods, including observation, description, conversation, questioning, testing, and methods of statistical data processing. Results. The subjective prerequisites for the development of addictions in students of pedagogical University, as well as the conditions that prevent their development, are identified and described. The technology of Advisory activity on the subjective component of health as a technology of prevention and correction of dependent behavior is developed. Discussion. Based on the study, it is noted that dependence on external circumstances and the will of others reduces the level of the subjectivity of students and leads to various health problems, so prevention and psychocorrection of dependent behavior (personal improvement) are considered as a resolution of internal contradictions of the "I-concept". The solution to this problem occurs within the framework of counseling on the issues of the subjective component of health. Conclusion. The research concludes that university students possess subjective factors that lead to the development of dependent behaviors. Psychological support is essential for fostering inner harmony by addressing contradictions in the "I-concept". This support can be provided through advisory techniques aimed at improving students' health and encouraging internal coherence.
Graphic Girlhood
Authors: Mitchell Claudia
Published: November 2024

In recent years, the scope of girlhood studies has included the investigation of a wide range of cultural artifacts and media that shape, reflect, and challenge society's prescriptive notions of girlhood. These artifacts include podcasts, girlfestos, fan fiction and, as this special issue highlights, comics. As Nicoletta Mandolini, Lisa Maya Quaianni Manuzzato, and Eva Van de Wiele, the guest editors of this special issue demonstrate, comics have emerged as a particularly rich and multifaceted medium in which to explore the complexities of girl culture, identity formation, and representation. In this special issue of Girlhood Studies Mel Gibson from the United Kingdom focuses on New Zealand, Lan Dong from the United States considers the work of a first-generation Filipino Egyptian American, Italian Simona di Martino looks at an Italian franchise while American Brianna Anderson focuses on Vietnamese graphic novels and Katlin Sweeney Romero from the United States considers the work of a Latina born in America. Then Charlotte Fabricius from Denmark looks at Danish publishing while Italian Nicoletta Mandolini interviews a Portuguese author. Also from Portugal, Ana Matilde Sousa focuses on girls in general in her visual essay while Eva Van de Wiele from Belgium considers the work of a German comics author.
Girls in Comics
Authors: Mandolini Nicoletta , Manuzzato Lisa Maya Quaianni , Wiele Eva Van de
Published: November 2024

As the guest editors of this special issue of Girlhood Studies: An Interdisciplinary Journal we invited comics and media scholars to discuss girlhood from the perspective of transnational and/or transmedia practices. These investigations avoid the trap Anita Harris warned us about in All about the Girl (2004) since they approach girlhood as a “constantly shifting” category, to use the words of Kristine Moruzi (2012: 191) rather than as a natural fixed state of being. Neither do they repeat the earlier tendency to conflate girlhood with womanhood (as can be seen, for instance, in Trina Robbins's From Girls to Grrlz (1999) and in Mike Madrid's The Supergirls (2009)). This special issue aligns with the work of scholars who study comics and girlhood with a focus on different publication formats (Gibson 2023), an international approach (Marshall 2018), and a transmedia interest (Hains 2012). The authors represented here consider girlhood as produced and negotiated; they recognize that girlhood implies a multiplicity of ages, social classes, ethnicities, and religions (as did, for instance, Marla Jaksch, Catherine Cymone Fourshey, and Relebohile Moletsane (2023) who edited Girlhood Studies 16:1: Reframing African Girlhood and Salsabel Almanssori and Muna Saleh whose Hijabi Girlhood in the Intersections: Violence, Resistance, Reclamation appeared later in 2023).
Latinas Online Are “Built Like This”
Authors: Sweeney-Romero Katlin Marisol
Published: November 2024

Latinx comics creators publish on social media to connect with a global audience and perform digital self-mediation that enhances the self-reflexive themes in their work. Among these creators is Chicana artist, Daisy Ruiz, known as Draizys, whose auto-bio comic Gordita: Built Like This showcases this approach. Its narrative contents, publication trajectory, and digital promotion exemplify how Ruiz as protagonist and author uses digital tools to produce and share her creative work. Her depictions of adolescent internet use, along with the behind-the-scenes content she posts to Instagram and TikTok, underscore how she uses medium-specific affordances to produce sequential autobiographical narratives in her comics and social media posts that, in both content and form, nuance how Latinas are mediated to the public.
From Girls to Children
Authors: Fabricius Charlotte J.
Published: November 2024

In this article I investigate the transformation of transnational girlhood in a recent imprint of comics for young readers published by Danish comics publisher Forlaget Cobolt. Launched in 2021, the imprint encompasses a range of mostly translated comics, including Anglophone graphic novels, a number of Francophone series, and comics from other Scandinavian countries. Many of the titles seem to target an audience of girl readers. However, based on interviews conducted with the acquisitions editor responsible for the line and two translators, I demonstrate that the work of bringing the titles to a Danish audience was guided by attempts to provide quality reading for a range of genders. In this process, transnational girlhood is imagined as non-gender-specific, reflecting contemporary discussions of gender politics and comics reading.
Fostering Green Innovation: The Interplay of Transformational Leadership, Organizational Learning and CSR
Authors: Azhar Rabia , Malik Sania Zahra , Ahmer Zeshan
Published: November 2024

CSR has gained much predominance in the previous decade in the various sectors of Pakistan. A quantitative research technique was used incorporating survey methodology for understanding the impact of transformational leadership in the promotion of CSR practices in the banking sector of Pakistan. The primary objective of the study is to investigate the impact of transformational leadership on CSR practices while observing the mediating role of organizational learning. Moreover, green innovation is observed as a moderator between transformational leadership and organizational learning. Employees working in the CSR department of different banks in Pakistan were approached and 203 responses were collected. It shows significant results. This research helps in developing our comprehension regarding the banking sector of Pakistan and how well they inculcate CSR practices through transformational leadership. These insights offer practical implications for the enhancement of CSR-integrated strategies and the adoption of sustainable organizational practices.
REMOVAL OF CHROMIUM HEXAVALENT (Cr6+) AND COMPETING METALS FROM ELECTROPLATING WASTE USING CARBOXYMETHYL CELLULOSE-GRAFT- POLY ACRYLIC ACID (CMC-g-PAA) HYDROGEL
Authors: A. Suprabawati  , I. Barkah  , L. Anah
Published: November 2024

Carboxymethylcellulose (CMC) is an environmentally friendly and practical polymer derived from cellulose that degrades easily in nature. Carboxymethylcellulose-grafted PAA (CMC-g-PAA) hydrogel was synthesized as an adsorbent for the heavy metal chromium Cr6+ in electroplating industrial waste. The hydrogel was selected as the adsorption material due to its swelling and hydrophilic properties. The addition of polyacrylic acid (C3H4O2)n at the grafting site improved the physical and chemical properties of the CMC hydrogels by creating a strong covalent crosslinking network and facilitating the exchange of H+ ions with heavy metal ions. The synthesis of CMC-g-PAA varied, including chromium metal scrap (Cr6+) concentrations ranging from 5 to 500 mg/L and pH values ranging from 1 to 8. Adsorption capacity calculations using Langmuir and Freundlich isotherms were performed to determine the adsorption capacity of CMC-g-PAA hydrogels for Cr6+. The results showed that the optimum pH value for adsorption was 1, and the maximum adsorption capacity for Cr6+ was 45.28 mg/g. Future research aims to investigate the adsorption of other competing metals such as cadmium (Cd), lead (Pb), and nickel (Ni) on CMC-g-PAA hydrogels. The findings indicated that nickel (Ni) ions had the highest adsorption capacity, with a maximum adsorption capacity of 5.05 mg/g. Therefore, it can be concluded from this study that CMC-g-PAA hydrogel can be effectively used as an adsorbent for heavy metals in electroplating industrial waste.
MODIFICATIONS IN SETTING TIMES, MOISTURE RESISTANCE, COMPRESSIVE STRENGTH, AND THERMAL STABILITY OF MAGNESIUM OXYCHLORIDE BY INCORPORATING SHELLAC AS AN ADDITIVE
Authors: N. Yadav  , Meenakshi
Published: November 2024

Magnesium oxychloride cement (MOC) has better cementing properties than ordinary Portland cement (OPC) but it is not largely used in construction work due to its weak moisture tolerance and low early strength at high temperatures. Shellac is a natural resin that works as a very good binder and sealant. It can perform an imperative role in MOC performance. In the present research, different percentages of Shellac (5%, 10%, 15%, and 20%) were mixed with MOC and investigated for their physical and mechanical properties in terms of setting time, moisture ingress, and compressive strength. It was found that 5% Shellac works best for reinforcing the strength and H2O resistance of MOC, while it retards the setting process. The interaction of shellac with MOC, crystalline phases, and thermal stability was also investigated using spectroscopic (FT-IR and Powdered XRD), and thermogravimetric (TGA-DSCDTA) analysis. The outcomes have shown improved mechanical and physical properties with increased thermal stability than simple MOC.
CHEMICAL COMPOSITION, ANTIOXIDANT, AND ANTIBACTERIAL ACTIVITY OF THE FRACTIONS OF Leucas lavandulaefolia Ress. LEAVES
Authors: M. Muharni  , H. Yohandini  , F. Ferlinahayati  , Hariani P.L.
Published: November 2024

Leucas lavandulaefolia has been used traditionally for treating rheumatism, diabetes, constipation, skin diseases, and wound healing. This study aimed to determine the chemical composition, antioxidant, and antibacterial activity of the fractions of L. lavandulaefolia leaves. The chemical composition of each fraction was identified using gas chromatography-mass spectrometry (GC-MS), antioxidant activity using the DPPH (1,1-diphenyl-2-picryl hydroxyl) and FRAP (ferric reducing antioxidant power) methods, while antibacterial activity was determined using the disc diffusion method against Escherichia coli and Staphylococcus aureus bacteria. The results showed that methanol fraction provided the highest total phenolic and flavonoid value 11.92 ± 0.52 galat acid equivalent (GAE) mg/g and 3.93 ± 0.45 quercetin equivalent (QE) mg/g. L. lavandulaefolia fractions containing mayor compounds stigmasterol in the hexane fraction, benzo[f]chromen-3-one, perhydro-2-acetyl-4a,7,7,10b-tetramethyl in the ethyl acetate fraction and tetracosa-2,6,14,18,22-pentaene-10,11-diol, 2,6,10,15,19,23-hexamethyl in the methanol fraction. The fractions of L. lavandulaefolia show a weak antiradical and reduction ability of inhibition concentration (IC)50 328.66 - 2072.36 mg/L and reduction ability 41.52± 2.25 - 72.75 ± 0.09 mg/L, respectively. Furthermore, the fractions also show weak antibacterial activity against the tested E. coli and S.aureus bacteria with an inhibition zone value of 8.78 ± 0.34 - 10.30 ± 0.2.mm at a concentration of 1000 mg/L.