bluuebunny/crossref_metadata_2025 huggingface dataset:
How much language use is actually on social topics: Human conversational behavior revisited
Authors: Szala Anna , Wacewicz Sławomir , Placiński Marek , Poniewierska Aleksandra Ewa , Schmeichel Arkadiusz , Stefańczyk Michał , Zywiczynski Przemyslaw , Dunbar R. I. M.
Published: May 2024

Our study delves into the intricacies of human conversation within the framework of evolutionary psychology, focusing on the proportion of “social” to “non-social” topics in casual conversation. Building upon the seminal study by Dunbar et al. (1997), which posited that two-thirds of conversation gravitates around social matters, our findings indicate an even larger portion, approximately 85%, dedicated to such topics. Additionally, we provide a nuanced categorization of “social” rooted in the principles of evolutionary psychology. Post-hoc demographic analyses revealed females to be more inclined towards social discussions and more engagement in social topics among individuals aged 20–24. Similarly to Dunbar et al.’s findings, our results support theories of human evolution that highlight the importance of social interactions and information exchange and the importance of the exchange of social information in human interactions across various contexts.
Not Without a Doubt
Authors: Bakker Charles
Published: May 2024

In this paper, I share my story about some of my experiences with doubt. Along the way, I also share some philosophical reflections. I know this does not tell you very much, but like I said, I am telling a story, and I do not want to spoil the ending.
On the Defensive: Identity, Language, and Partisan Reactions to Political Scandal
Authors: Ekstrom Pierce D. , Gonzales Marti Hope , Williams Allison , Weiner Elliot , Aguilera Rafael
Published: May 2024

We investigated how individuals judge politicians embroiled in scandal. Drawing on social identity and realistic group conflict theory, we predicted that beyond an overall ingroup bias, partisans would be particularly forgiving of in-party politicians who denied or justified their misconduct rather than apologize for it. By insisting that they did nothing wrong, these politicians defend the public image of their party and signal their commitment to partisan goals. We find qualified support for this prediction across three experiments. Participants did not respond negatively to in-party politicians who apologized, but did react more positively to those who denied or justified wrongdoing (relative to silence). These accounts worked only for in-party politicians and were more effective for those whose misconduct furthered their party’s agenda or whose seat was high-status or pivotal for party goals. In intergroup contexts like politics, people may accept explanations for misconduct that they would otherwise find offensive.
An Eye Tracking Study of Gender Biased Information Acquisition in Candidate Evaluation
Authors: Jenke Libby
Published: May 2024

Gender stereotypes may impact voters' candidate choices. But do gender stereotypes impact voters' attention when learning about the candidates? This paper explores whether citizens take part in gender biased information acquisition when learning about women and men candidates. In an experiment, I use eye tracking to measure respondents' attention to gender stereotype-consistent and inconsistent information. The results indicate that citizens do not differ in their attention to different candidate information according to candidate gender. Additionally, respondents' own gender does not make a difference in their attention to masculine and feminine-stereotyped information for women or men candidates. These findings provide an important specification of the mechanism behind gender bias in candidate choices: the bias appears to be different standards of judgment for candidates of different genders, not different compositions of information to be judged for candidates of different genders.
The Gaza Strip's Chronic Food Security Crisis: A Preexisting Problem Exacerbated by Recent Conflict
Authors: Zelingher Rotem
Published: May 2024

The Gaza Strip (GS) is facing a severe food crisis, with a significant portion of the population facing famine conditions, which has aggravated during the ongoing Israel-Hamas war. However, the region's food security challenges are not new, but rather rooted in historical, political, and socioeconomic factors that have shaped the GS's vulnerability and resilience. In this article, we examine the complex causes and consequences of chronic food insecurity in the Palestinian territories, while comparing both regions: the West Bank (WB) and GS. The article draws upon recent reports by the Food and Agriculture Organisation (FAO) and the International Food Policy Research Institute (IFPRI), as well as other sources. We also discuss the urgency of action and the potential long-term solutions to address the food security crisis, focusing on the role of the Gazan government and the international community. We argue that global efforts should aim to encourage the Gazan government to invest in social equity, prioritising food security, health, and other vital aspects, while also supporting humanitarian relief and peace-building initiatives.
From greedy grocers to carbon taxes and everything in between: what do we think we know about food prices in Canada and how strong is the evidence?
Authors: Pentz Brian , Ehrlick Taylor , Katz-Rosene Ryan , Loring Philip A.
Published: May 2024

In Canada, the task of explaining food prices falls to a handful of grey literature reports that shape media coverage and public understanding and carry significant political and policy influence. We performed an in-depth analysis of 51 of these influential reports, including 39 reports by Statistics Canada (including Consumer Price Index reports and other studies) and 12 reports from the Canada Food Price Report (CFPR) series. Our goal was twofold: 1) to identify and classify the various explanations given for food price changes, and 2) to evaluate the scientific rigor of these explanations. We identified 232 total explanations for food price changes, spread across seven thematic categories and 32 sub-categories. We find that most claims made in these reports are scientifically incomplete (only 28.6% of all claims meet established criteria for the completeness of scientific arguments). We also identify a lack of comprehensiveness in the areas of emphasis and the claims being presented and drivers being explored, particularly with respect to a issues presently at the centre of food price discourse in Canada, such as the agency of grocers and other supply chain actors, corporate growth imperatives, and climate change. Considering the importance of food prices and food security to prosperity and well-being in Canada, we conclude with a series of recommendations for strengthening the scientific rigor of these reports, including greater inclusion of supporting evidence, opportunities for peer review, and increased transparency regarding conflicts of interest and funding sources.
Smuggling critique into impact: Research design principles for critical and actionable migration research
Authors: Alpes Maybritt Jill
Published: May 2024

The article examines how academics can mobilize their epistemic resources to engage with justice claims able to challenge border violence. Many migration scholars would like to find ways to mobilize their knowledge to resist migrants’ human rights violations. Despite increased focus on research impact, border violence is only increasing. On the one hand, policy makers do not act on scholarly recommendations that are highly critical, but not necessarily actionable. On the other hand, when scholarly recommendations are actionable, legal and policy changes do not necessarily result in meaningful improvements for refugees’ and other migrants’ dignity. As a result, there is a dichotomy between applied research that is not critical and critical research that is not actionable. Against this backdrop, this article explores how migration researchers can reclaim the meaning of impact and smuggle critique into the term. The article is based on auto-biographical explorations of what it means for an anthropologist to produce knowledge on migration from within law faculties and as policy officer and research consultant for human and refugee rights organizations. Based on this material, the article argues that migration scholars who seek justice should not produce more evidence, but rather take law seriously as a knowledge practice. The article develops three design principles for migration scholars who seek to resist in the short- and medium-term migration laws and policies that violate human right principles. First, build knowledge alliances with justice actors. Second, theorize knowledge needs in justice claims. Third, broker the validity of truth claims.
Unsupervised Sampling Analysis on Consumer Exposure to Fast Fashion Consumption
Authors: Despotovic Miroslav , Huber Christian
Published: May 2024

Today, fast fashion is experiencing rapid growth, increasingly overshadowing ethical shopping practices. Even consumers with strong sustainability awareness find it increasingly challenging to align their ethical principles with their shopping behavior due to the overwhelming availability of fast fashion products. This study aims to deepen the understanding of consumer exposure to fast fashion by synthesizing existing analytical methods with data on the sustainability practices of fast fashion companies. We conducted an online survey with items assigned to predefined factors, calculated the sustainability performance of selected fast fashion companies, and integrated this information into the survey results. We then grouped items per factor using cluster analysis and investigated the strengths and directions of the relationships between factors and the identified clusters through descriptive analysis. The results indicate that respondents' shopping patterns, along with their opinions on the sustainability of selected fast fashion companies, have a discernible effect on their shopping behavior. A gap between consumers' attitudes and behavior was observed; however, the results also show positive tendencies, with consumers who have strong sustainability attitudes making up the largest share among those with strong sustainable shopping behavior. Notably, female respondents displayed a much more pronounced sustainable attitude. Generation Y exhibited a stronger environmental attitude toward shopping, as well as more pronounced sustainable shopping behavior, compared to Generation Z. No significant difference in shopping behavior between consumers from urban and non-urban areas was detected. This study links relevant attitudinal and behavioral information to the sustainability practices of fast fashion companies through sampling and unsupervised analysis methods, marking a further step toward understanding consumers' exposure to fast fashion consumption and the potential barriers influencing the discrepancy between purchasing attitudes and behavior.
New Keynesian and New Classical Debate on Contemporary Macroceconomic Development: Review
Authors: Mool Bhumika
Published: May 2024

This paper analyzes the extended debate between two schools of economic thought – Keynes and Classics with recently updated ideas noted as New Keynesianism (NK) and New Classicism (NC). Here, ideas on Keynesian and classical economics, their similarities, differences, successes, applicability and criticisms has been studied comparatively through descriptive analysis of previous articles from researchers and renowned economists since decades before. The paper suggests that the nomenclature issue between these macroeconomic developments is more than a terminological debate that points out what should be the current issue between Keynesians and Classicals. There are both similarities and differences within the schools of thoughts. The analysis shows the assumptions, criticisms and successes of two of these schools of economic thought viz. NC and NK and explains which of them is appropriate to be applied for assessing policy, monetarism and business cycle theory. Nevertheless, no matter how much they criticize and compete with one another or how many theories and explanations are added, their core remains the same while their applicability always differs in accordance to time and place.
Brick by Brick: Marketing Strategies for Building an Open Educational Resources Office
Authors: Davis Sabrina , Litsey Ryan
Published: May 2024

Introduction: This article examines the current marketing and advocacy trends utilized by librarians who work within the realm of open educational resources (OER) and posits that utilizing marketing industry trends, such as relationship marketing, when building an OER office can enhance current marketing trends—as illustrated at Texas Tech University—and aid in the sustainability of the office or program.
Literature Review: The literature review begins by providing a broad definition and understanding of relationship marketing as marketing industry strategy. It then continues with literature that explores popular OER marketing and advocacy trends that are used by librarians, specifically trends that focus on building relationships with faculty.
Incorporating Relationship Marketing into the Texas Tech University OER office: The Texas Tech University OER office was created in 2021 and has found ways to incorporate relationship marketing strategies into the development of the office. These strategies build upon current trends by prioritizing faculty relationships and needs in the development of workflows, advocacy efforts, and funding programs.
Next Steps: The Texas Tech University OER office is continually using faculty feedback to make changes and determine next steps to create a sustainable OER program.
Post-COVIDmental health of librarians in Vietnam
Authors:   School of Social Sciences and Humanities, Can Tho University, Campus II, 3/2 Street, Ninh Kieu District, Can Tho City, Vietnam, Le Linh Ngoc , Kim Tri Nguyen Thi ,   Vietnamese-German University Library, Quarter 4, Thoi Hoa Ward, Ben Cat Town, Binh Duong Province, Vietnam, Vinh Vuong Nguyen Hoang ,   School of Social Sciences and Humanities, Can Tho University, Campus II, 3/2 Street, Ninh Kieu District, Can Tho City, Vietnam, Huynh Trang Thi ,   School of Social Sciences and Humanities, Can Tho University, Campus II, 3/2 Street, Ninh Kieu District, Can Tho City, Vietnam, Nguyen Mai Huynh ,   School of Social Sciences and Humanities, Can Tho University, Campus II, 3/2 Street, Ninh Kieu District, Can Tho City, Vietnam, Doan Hieu Quang ,   Learning Resource Center, Can Tho University, Campus II, 3/2 Street, NinhKieu District, Can Tho City, Vietnam, Ngoc Nhung Tran Thi ,   School of Social Sciences and Humanities, Can Tho University, Campus II, 3/2 Street, Ninh Kieu District, Can Tho City, Vietnam, Lu Lap Cong ,   Cantho Public Library, 29 Nam KyKhoi NghiaStreet, Tan AnWard, Ninh KieuDistrict, Can Tho City, Vietnam
Published: May 2024

This study aims to measure the mental well-being levels of librarians in Vietnamin the new normal context after the COVID-19 pandemic. The findings are expected to advocate for future policy interventions regarding mental health carefor staffin Vietnam’s librariesand information centerssince the pandemic has made coping with crises recognised globally as an integral part of life. On this ground, a survey was designed and administered online for librarians across Vietnam to self-rate their 5 dimensions of psychological generalwell-being using the WHO-5 [1]together with the Revised Life Orientation Test (LOT-R) [2],and Strahan-Gerbasi’s 1972 short version of the Marlow‐Crowne Social Desirability Scale [3].The survey shows despite the low mid-COVID mental health, there was a statisticallysignificant increase in mental health scores in the new normal. There are abouttwo-thirds of the surveyed librarians areinfected with COVID-19. For either the mid-or post-COVIDmental health, there was a statistically significant difference in scores between the infected and uninfected ones. Threeindependent-samplet-tests on genders, marital and parenthood statuses only found statistically significant differences in mid-and post-COVIDmental health scores between different marital and parenthood statuses, with the unmarried and the ones with no children scoring higher on both mid-and post-COVIDmental health over their counterparts. Eight one-way between-groups ANOVA tests conducted on a wide range of demographics (geographical area, library type, library size, age, seniority, position, specialization, and qualification) only showed statistically significant differences in mid- 2and post-COVIDmental health scores between different age groups, seniority levels, and types of position.
A Critical Analysis of the Ups and Downs of the British 1832 'Great' Reform Act
Authors: Ngatsongo Garel , Mbon Armel , Loumbouzi Didier Arcade Ange
Published: May 2024

This work scrutinises the British struggle for the 1832 ‘Great’ Reform Act by exploring its ups and downs. It, in fact, aims at showing that that Reform Act does not deserve the qualifier ‘Great’ put in inverted commas. Through the historical perspective, the findings have revealed that the 1832 Reform Act took much time to be recognised and passed by Parliament, because political leaders at that time were tyrants and hated all sorts of change. In the long run of time, the bill was then adopted and became law under the masses’ pressure and upheaval. However, after its passage, the political system was slightly changed and the idea of democracy in Britain was, indeed, still a mere masquerade. There were no salaries of MPs, no secret ballot, no regular parliaments, no vote for women, no abolition of property qualification and no constituencies of the same size. It is evident that this appellation is but window dressing. So, this historical misconception should be reviewed and corrected.
China's Marine Protected Areas Legal Challenges and Global Engagement within and Beyond National Jurisdiction
Authors: Sohail Aamir
Published: May 2024

This paper explores the legal challenges and global engagements surrounding China's Marine Protected Areas (MPAs) within its national jurisdiction and beyond, including its participation in the negotiations concerning marine biodiversity in areas beyond national jurisdiction (ABNJ). With over three decades of MPA management experience, China has established more than 250 sites, yet needs to improve its effectiveness. The study highlights obstacles such as the absence of systematic approaches, inadequate regulatory frameworks, governance inefficiencies, and conflicts between conservation and exploitation interests. Furthermore, the paper examines China's participation in international discussions on marine biodiversity, particularly its involvement in negotiations related to MPAs under the Agreement under the United Nations Convention on the Law of the Sea on the Conservation and Sustainable Use of Marine Biological Diversity of Areas Beyond National Jurisdiction (the BBNJ Agreement). By addressing these issues, this study contributes to informed decision-making and effective strategies for marine conservation in China and globally.
The Principles of Sentence Reduction: Escaping Punishment or Administration of Justice?
Authors: Tahir Muhammad , Khan Aeman , Haqqi Zainab Effendi
Published: May 2024

Law has impacts on victims and criminals. It is important to analyze its effects and consequences. The research focuses on the principles of sentence reduction in the white-collar crime of cheating public at large collected and organized through study of appeal cases. Often, the convicted appeals for a reduction in sentence.This research aims to highlight those grounds which make the grant or refusal of appeals legally justified, formulate the principles of reduction and analyze their positive and negative effects on the victims and the offenders. It is upon the individual how, according to the circumstance before sight, he implements the derived principles and reaches his individually special conclusion. This research is basically a confined document related to the principle of granting and refusing the reduction in the sentence of criminals for cheating the public at large.
Critical Analysis of Dowry Culture Through the Lens of Dowry-related Laws and Policies in Pakistan
Authors: Ghani Muhammad Usman , Akbar Mah Noor , Naushahi Muneeba
Published: May 2024

Dowry, a stark reality, still haunts the larger part of Pakistani society. Whenever a marriage takes place, the burden to provide dowry falls upon the shoulders of the bride’s parents. This particular study aims to critically evaluate the laws and policies made by the Pakistani state to curb the menace of dowry culture. The qualitative method with a particular focus on descriptive and explorative analysis was used to explore and describe the intricate issue at hand. For this, various national and international surveys, reports along scholarly articles were thoroughly analyzed to find out the underlying causes and their consequences. Until now, not only limited laws have been enacted to deal with dowry as a criminal offense but also enforcing mechanisms have been absent for the existing laws. The findings of this study implore the adoption of dowry-related laws with efficient rules of business for the sake of effective implementation.
From Barroom to Courtroom, Unraveling the Nexus between Bar Strikes and Barriers in Dispensation of Justice
Authors: Rasool Aisha , Abdullah Kamran
Published: May 2024

Bar strikes, organized by legal professionals, disrupt the administration of justice in Pakistan, causing delays in justice delivery. On average, every 4th working day is lost due to strikes. These strikes aim to address grievances and improve working conditions within the legal system. However, their consequences extend beyond the legal community, impacting litigants and the broader social fabric. The Apex Court of Pakistan has directed provincial bar associations to ensure the reputation of the legal profession is not diminished by advocates striking for less significant reasons.(Ali,2012) This research paper explores the root causes, motivations, and grievances behind bar strikes, as well as the legal, ethical, and constitutional perspectives of bar strikes.
Representation of Social Actors in US Egress from Afghanistan: A Critical Discourse Analysis
Authors: Ahmad Iftikhar , Fatima Saadia , Khan Saira
Published: May 2024

Media through discursive representation as contended by Van Leeuwen (2008) shapes the identity of the participants positively or negatively by their purposeful inclusion or exclusion in a text to gain desired results. Hence, readers' sympathy, cooperation, acceptance or rejection, contempt, and criticism primarily depend on how a social actor (Henceforth SA) has been represented. The objective of this study is to reveal how, at the time of US withdrawal from Afghanistan in 2021, the New York Times and USA TODAY have represented the Afghan army, the Afghan government, the US army, the US government as In-group and the Taliban as Out-group in the news. The findings reveal that both newspapers reported the event discursively by building a positive image of the In-group and creating a negative image of the Out-group to influence the perception of the readers.
Female Models of TV Fashion Commercials Promote Modern Lifestyle to Young Female College Students of Lahore
Authors: Ashraf Ch. Aqeel , Sultana Saba
Published: May 2024

This study is about how TV commercials and their fashion elements affect, how women are shown. The current study looks at how people look up to their favourite TV commercial actress and how they want to be like her in terms of style and personality. Employing quantitative survey responses from 360 women who usually watch fashion commercials on TV. The data show that hairstyles, makeup, and the clothes models wear are very popular with female viewers. A study found that a lot of people who watch TV buy the clothes, accessories, and makeup that their favourite stars wear, and 92% of those people are women. A lot of people are also happy to have these things. A study on fashion and how models are shown in TV ads also found that viewers thought the way female models and actresses were portrayed on TV went against religious beliefs.
Academic Barriers of Students with Hearing Impairment at the Undergraduate Level
Authors: Amjad Faisal , Shoaib Almas , Qudoos Abdul
Published: May 2024

This study addresses the academic barriers of students with hearing impairment at a private institution. A competent
generation depends on education; however, SWHI has particular hurdles in getting higher education. Communication,
socialization, curriculum, instructions, learning, and support services are examined as significant factors in academic
performance. The census-sampled research examines demographics including age, gender, and disability level in 41
SWHI. The researcher uses sign language interpreters to collect data. Quantitative investigations refine SWHI views on academic impediments. Detail frequency distributions and statistical tests like t-tests reveal demographic trends and variances. Communication, socialization, curriculum adaptability, and educational structural impediments were found. Library, internet, and assistive technology reduce academic challenges, according to the study. The research intends to influence policy-making to make SWHI higher education more accessible by illuminating these complexities.
The Influence of Anchor Characteristics on Consumers' Impulse Apparel Purchase Intention — Evidence from FsQCA
Authors:   College of Textile and Fashion, Shanghai University of Engineering Science, Shanghai, 201600 China, Sun Ruochen , Qu Hongjian ,   College of Textile and Fashion, Shanghai University of Engineering Science, Shanghai, 201600 China
Published: May 2024

Live streaming has become the hottest marketing method for apparel brands nowadays. E-commerce anchors, as the core of live marketing, have an important role in influencing consumers' impulse purchase intention. However, the research on clothing brand anchor characteristics on consumers' impulse purchase intention based on live-streaming anchor characteristics has yet to be explored in related studies. The article uses consumer trust and attitude as mediating variables, and the cognitive-affective system as an analytical framework. All variables are tested by validated factor analysis, and FsQCA to analyze the grouping of anchor characteristics (attractiveness, popularity, professionalism, interactivity, and brand fit) in apparel live streaming marketing. The article discovers seven configurations that triggered consumers' high impulse purchase intention and five configurations of non-high impulse purchase intention. The findings indicate that (a) all dimensions of anchor characteristics have a significant effect on consumers' impulse purchase intention, in which the effect of popularity is most significant; (b) consumers' trust has a mediating effect between anchors' attractiveness, popularity, interactivity, brand fit, and impulse purchase intentions; (c) consumers' trust and consumers' attitude have a chain-mediated effect between popularity, brand fit, and impulse purchase intention. The results of the research will help clothing anchors to further understand consumers' information needs and perceived preferences, and provide references to improve the quality of live streaming.
ДОСЛІДЖЕННЯ СТРАТЕГІЇ БАГАТОЕТАПНОГО РОЗГОРТАННЯ ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ З ВИКЛЮЧЕННЯМ СТОРОННІХ ЕФЕКТІВ
Authors: СУПРИГАН ВІТАЛІЙ
Published: May 2024

The article addresses a problem and its solution that arose during onboarding of new subscribers to the existing data import and distribution service. The analysis of all available solutions demonstrates that none fully meet the requirements. The process of searching for the values of the required indicators and the process of creating reports necessarily uses indexes. Messages of different types are placed in their respective MongoDB collections. Over the long period of operation of the repository, up to 64 indexes per collection have accumulated. According to the policies of connecting to the storage (Connect timeout) and waiting for a response (Socket timeout), the need to set such long-time expectations for consumers is unacceptable and usually, by default, is equal to 30 seconds.
A multi-step strategy for delivering the solution that allows the service to meet availability requirements was proposed. The novelty of the article is in the description and investigation of a new method of delivering solutions to the software deployment environment—production. The implementation of the described strategy opens a new approach for solving similar classes of problems related to the type of interaction with users, when custom settings are a mandatory part of the service and are guaranteed to carry the threat of service unavailability. This approach opens up new opportunities for achieving high availability of systems, reducing risks and increasing user satisfaction. Based on the analysis of the proposed approaches, the latest strategy of multi-step delivery of the service to users was developed, the result of which was the acceptable response waiting time of up to 5 seconds. The implementation of this strategy contributed to the achievement of the availability of software products - 99.999%, ensuring the reliability and stability of services for end users.
PENGARUH ORGANIZATIONAL-BASED SELF ESTEEM DAN BUDAYA ORGANISASI TERHADAP KOMITMEN ORGANISASI DI KOPERASI GUYUB RUKUN KELURAHAN SEMAKI
Authors: Riatmaja Dodi Setiawan , Gusneli Gusneli , Wardhani Eka Nurlita Kurnia , Sugiharti Sugiharti , Muafiqie Humaidah
Published: May 2024

Didalam organisasi yang mebutuhkan suatu factor yang mendukung jalanannya suatu organisasi yang baik agar organisasi itu bisa berjalan dan mencapai tujuannya. Untuk mencapai tujuan organisasi tersebut dibutuhkan SDM yang berkualitas. Jika suatu organiasi mempunyai karyawan yang berkualitas itu harus di pertahankan maka dari itu komitmen organisasi itu penting. Adapun tujuan penelitian ini untuk mengetahui pengaruh Organizational-Based Self Esteem dan budaya organisasi terhadap komitmen organisasi. Penelitian ini menggunakan penelitian kuantitatif yang berada di Koperasi Guyub Rukun, Kelurahan Semaki dengan jumlah sampel 150 responden. Hasil peelitian ini didapatkan nilai Fhitung 72,254 > dari Ftabel 3,06 dan hasil sig. 0,000 lebih kecil dari 0,05 hal ini berarti ada hubungan signifikan Organizational-Based Self-Esteem (X1), Budaya Organsasi (X2), kepada variabel dependen Komitmen Organisasi.
ANALYSIS OF ACCIDENT DATA AT PT X FOR THE 2018-2022 PERIOD USING THE HFACS-MINING INDUSTRY FRAMEWORK METHOD
Authors: Winarko Agus , Djunaidi Zulkifli
Published: May 2024

The mining industry is a high-risk industrial activity. Human factors have been identified as the most common cause of major accidents in the mining industry. The Incident Management System of PT X, which is a company in exploration, mining, processing, and marketing sector of copper, gold and silver concentrate, part of the state-owned mining holding enterprise Mining Industry Indonesia, documented 322 cases of accidents within the 2018-2022 period. This research aims to analyze accident data at PT X using the Human Factor Analysis and Classification System-Mining Industry (HFACS-MI) framework. Methods. This research collected qualitative data for 322 accident cases at PT X in 2018-2022 from the incident management system database categorized as recordable injuries. Factors causing the accident were coded using the HFACS-MI framework. Accident data analysis used descriptive statistics. Results. The study findings revealed that 84% of all accidents involved contractor workers and 16% involved permanent workers at PT X. The results of the analysis using the HFACS-MI framework showed that each layer or level contributes to accidents, namely external factors by 44%, organizational influence by 68%, unsafe leadership by 90%, preconditions for unsafe acts by 99%, and unsafe acts by 99.7%. Conclusion. These findings emphasize the need to reduce the number of human errors during mining operations to reduce the current accident trend. The HFACS-MI framework has proven to be a valuable tool for robust accident analysis of human factors in mining.
Effects of Intravenously Administered Plasma from Exercise-Trained Donors on Microglia and Cytokines in a Transgenic Rat Model of Alzheimer’s Disease
Authors: Huuha Aleksi M. , Norevik Cecilie Skarstad , Coombes Jeff S. , Røsbjørgen Ragnhild N. , Miguel-dos-Santos Rodrigo , Moreira José Bianco N. , Kobro-Flatmoen Asgeir , Scrimgeour Nathan , Tari Atefe R.
Published: May 2024

Background: Microglia and inflammation play a significant role in Alzheimer’s disease (AD). Physical exercise and peripheral signals can influence microglial activity in the brain. Modulating the inflammatory response in the brain may provide therapeutic approaches for AD. Objective: To assess the effects of intravenously administered blood plasma from exercise-trained donor rats on cognitive function, microglia, and cytokine levels in an AD rat model at two different pathological stages; an early pre-plaque stage and a later stage closer to the emergence of extracellular plaques. Methods: Male transgenic McGill-R-Thy1-APP rats aged 2 and 5 months received 14 injections over 6 weeks: 1) plasma from exercise-trained rats (ExPlas), 2) plasma from sedentary rats (SedPlas), or 3) saline. Cognitive function was evaluated in a novel object recognition task. Microglia count and morphology were analyzed in cornu ammonis, dentate gyrus, entorhinal cortex, and subiculum. Amyloid plaque number and size were assessed in the rats with the later treatment start. A multiplex assay was used to measure 23 cytokines in cornu ammonis. Results: In rats treated from 2 months of age, ExPlas and SedPlas increased number and length of microglial branches in cornu ammonis and dentate gyrus compared to saline. Only ExPlas-treated rats exhibited similar changes in subiculum, while entorhinal cortex showed no differences across treatments. Microglia count remained unaffected. In rats treated from 5 months of age, there were no significant differences in microglia count or morphology or the number or size of amyloid plaques in any brain region. Compared to both other treatments in early pre-plaque stage rats, SedPlas increased TNF-α levels. ExPlas upregulated GM-CSF, IL-18, and VEGF, while SedPlas increased IL-10 compared to saline. In later-stage rats, ExPlas upregulated IL-17, and SedPlas upregulated TNF-α compared to saline. There were no effects of treatments on recognition memory. Conclusions: Intravenous injections of blood plasma from exercise-trained and sedentary donors differentially modulated microglial morphology and cytokine levels in the AD rat model at an early pre-plaque stage of pathology. Exercised plasma may reduce proinflammatory TNF-α signaling and promote microglial responses to early Aβ accumulation but the lack of treatment effects in the later-stage rats emphasizes the potential importance of treatment timing.
Application of 4D flow MRI for exploring factors affecting haemodynamics of iliac veins in asymptomatic population
Authors: Nie Chengli , Tao Li , Chen Jiangwei , Yang Jianghu , Chen Zihui , Huang Wen
Published: May 2024

BACKGROUND:

Haemodynamics plays an important role in the development of vascular disease. There is currently a lack of studies evaluating the characteristics and affecting factors of the iliac vein haemodynamics in clinical practice.

OBJECTIVE:

The goal of this study was to use 4D flow MRI to explore the haemodynamic characteristics of iliac veins and its affecting factors in an asymptomatic population.

METHODS:

Thirty consecutive volunteers without venous-related symptoms or signs underwent four-dimensional postprocessing of their MRI images. Relevant parameters, the demographic data, common iliac vein-inferior vena cava angle, iliac vein area, tortuosity, iliac vein mean flow, mean velocity was computed and analysed. T tests and Spearman’s tests were used for analysing. A P value of 0.05 or less was considered significant.

RESULTS:

Height and iliac vein area were positively correlated with flow, while degree of stenosis, and common iliac-inferior vena cava angle were negatively correlated with that. Degree of stenosis was positively correlated with velocity, but the common iliac-inferior vena cava angle and iliac vein tortuosity were negatively correlated with that. The mean flow and velocity of iliac veins in females were lower than males. The mean flow and velocity of the left iliac veins were lower than those of the right.

CONCLUSION:

The height, gender, tortuosity, degree of stenosis, common iliac vein-inferior vena cava angle of the iliac vein are important factors that affect flow and velocity of the iliac veins. There were differences in haemodynamic parameters of the bilateral iliac veins.
Time dimension feature extraction and classification of high-dimensional large data streams based on unsupervised learning
Authors: Jiang Xiaobo , Jiang Yunchuan , Liu Leping , Xia Meng , Jiang Yunlu
Published: May 2024

In order to solve the problem of low accuracy of time dimension feature extraction and classification of high-dimensional large data streams, this paper proposes a time dimension feature extraction and classification algorithm of high-dimensional large data streams based on unsupervised learning. Analyze the trend of high-dimensional data flow changes under machine learning, and achieve dimensionality reduction of high-dimensional large traffic time dimensional data through local save projection. Analyze the spatial relationship between feature attributes and feature space, segment and fit high-dimensional big data streams and time dimensional feature data streams, further segment time dimensional sequences using sliding windows, and complete feature extraction through discrete dyadic wavelet transform. According to the clustering algorithm, cluster the time dimension feature data stream, calculate the cosine similarity of the feature data, model the time dimension feature stream of training samples, use the feature classification function to minimize the classification loss, and use unsupervised learning to achieve the final classification task. The test results show that this method can improve the temporal feature extraction and classification accuracy streams.
Intelligent optimization algorithm-driven informational teaching model for English reading and writing in universities
Authors: Liu Peijun
Published: May 2024

English reading and writing are important parts of language teaching. In order to improve the English reading and writing ability of college students, the TLBO (teaching learning-based optimization) algorithm is used in this research to improve the way that English reading and writing are taught in colleges and universities. It is chosen as the primary model for this study. The TLBO algorithm is further optimized in this paper, and a convergence analysis is performed between the optimized model M-TLBO (multi-learning teaching learning-based optimization) algorithm and other TLBO algorithms in order to address the issues that the TLBO algorithm has an excessively single teaching ability and readily settles into local optimal solutions for some large-scale complex problems. In terms of stability and convergence accuracy, M-TLBO outperforms other algorithms. In order to investigate the impact of the M-TLBO algorithm on students’ writing performance, this paper uses the teaching-learning optimization algorithm to conduct a pre-and post-test on students’ English reading and writing performance in five dimensions. The study’s findings revealed that students’ pre-test writing scores had a mean value of 8.4770 and a standard deviation of 1.72449, and that their post-study writing scores had increased by 5.05 points. The English reading and writing information-based teaching model can improve students’ English writing performance. It is hoped to promote the development of English teaching and improve the efficiency of students’ English learning.
Training mode of university dance performers based on sequential quadratic programming algorithm
Authors: Ma Yujiang
Published: May 2024

Dance performance is an art form, which needs to cultivate students’ dance skills, artistic accomplishment and stage performance ability. Sequential quadratic programming algorithm is an optimization algorithm that can be used to solve complex optimization problems. In this paper, Sequential Quadratic Programming (SQP) is applied to explore the training mode of dance performers in colleges to help dance performers develop the optimal training plan and program. Aiming at the problems existing in the training mode of dance performance talents in colleges, this paper put forward an optimization method based on SQP algorithm, and implemented its optimization scheme in actual colleges. In the planning of dance performance talent training mode, particle swarm optimization (PSO) is used to optimize SQP algorithm, so that it can have higher planning efficiency. This paper studied the goal and index system of the training of dance performance talents in colleges, generated a personalized training program, and further improved the scientific and practical effectiveness of the training mode. This paper investigated the current situation of dance performance talent training in several dance schools in a certain province of China. The survey data include practical curriculum planning, teachers’ teaching philosophy and teaching content. Combined with SQP algorithm, the teaching and training program is optimized. After evaluation, it can be concluded that the SQP algorithm optimized by PSO shows good stability and accuracy. It can calculate the optimal solution of the cultivation scheme, and when calculating the optimal solution, the running time of the Central Processing Unit (CPU) was only 5.6 s, which can further improve the efficiency of the planning. Finally, through the satisfaction and resource utilization test, it can be found that the number of people who are very satisfied with the teaching content of the dance performance talent training program optimized by SQP increased from 38.4% to 52.4%. After optimization, the average utilization rate of teaching resources reached 88.1%. It can be concluded that SQP algorithm can provide scientific basis for dance education institutions to improve the training mode of dance talents. This can help dance education institutions better improve the training mode, and improve the overall quality and dance skills of dance students.
Optimization of physical education teaching resources and service mode under the background of big data and cloud computing
Authors: He Panpan , Wang Jingjing
Published: May 2024

With the rapid development of big data and cloud computing, the field of physical education has begun to actively explore the application of these new technologies. Big data can collect and analyze a large amount of teaching information, help understand students’ learning needs and preferences, optimize resource allocation, and improve teaching efficiency. Cloud computing can realize the online and personalized teaching resources and services, providing convenient and rich learning experience. This study first analyzes the role and influence of big data and cloud computing in the optimization of physical education teaching resources and service mode, and then verifies the actual effects of these technologies through empirical research, analyzes the existing problems and potential challenges, and puts forward corresponding solutions and suggestions. The results show that big data and cloud computing help to improve the efficiency and user satisfaction of physical education, and have important value in promoting the modernization of physical education.
Electromagnetic field simulation modeling method and distribution characteristics of electric vehicle wireless charging system
Authors: Che Kai , Yang Peng , Gong Yunqian , Chen Chuanmin , Liu Songtao , Li Ni , Lin Shanshan
Published: May 2024

In recent years, wireless charging technology for electric vehicles has gained significant attention. To accurately analyze the distribution characteristics of the electromagnetic field during the wireless charging process of electric vehicles, a finite element-based electromagnetic analysis method was employed. Applied in the commercial simulation software, the electromagnetic environment of the resonant coil and electric vehicle model was simulated under high-power charging conditions, resulting in an overall electromagnetic field distribution for the electric vehicle. The results indicated that within the coil region, the magnetic induction intensity in the central area of the coil was zero, and it increased as the distance from the center of the coil grew. Outside the coil region, the magnetic induction intensity gradually decreased. The electric field intensity of the resonant coil was maximum in the central area of the coil, and it weakened as the distance from the center of the coil increased. When a magnetic shielding resonant coil was used, the electromagnetic field was confined between the shielding materials, and the magnetic field rapidly attenuated on both sides of the magnetic shield. The electromagnetic field energy of the electric vehicle body was mainly concentrated at the bottom of the vehicle near the coil. When the coil was located in the front of the car body, the maximum electric field intensity distribution in the car body was 8.50 V/m, and the maximum magnetic induction intensity was 0.024 μT. When the coil was located in the middle of the car body, the maximum electric field intensity was 2.31 V/m, the maximum magnetic induction intensity was 0.019 μT. As the distance from the coil position increased, the energy weakened.
Filling the gaps: A multiple imputation approach to estimating aging curves in baseball
Authors: Nguyen Quang , Matthews Gregory J.
Published: May 2024

In sports, an aging curve depicts the relationship between average performance and age in athletes’ careers. This paper investigates the aging curves for offensive players in Major League Baseball. We study this problem in a missing data context and account for different types of dropouts of baseball players during their careers. We employ a multiple imputation framework for multilevel data to impute the player performance associated with the missing seasons, and estimate the aging curves based on the imputed datasets. We then evaluate the effects of different dropout mechanisms on the aging curves through simulation, before applying our method to analyze MLB player data from past seasons. Results suggest an overestimation of the aging curves constructed without considering the unobserved seasons, whereas estimates obtained from multiple imputation address this shortcoming.