bluuebunny/crossref_metadata_2025 huggingface dataset:
The influence of business intelligence on the effectiveness of supply chain management in the Nigerian consumer goods sector
Authors: Itiri Idam Okpara  , Patrick Chigozie Moneme  , Olaide Monsurat Akano  , Ogbonnaya Abraham Onuaja  , Temple Akpa
Published: October 2024

Business performance depends on supply chain management (SCM), which can be enhanced through digital transformation to enable quick decisions to increase market share. By enabling informed decision-making, business intelligence (BI) can facilitate this improvement in SCM effectiveness and competitive edge. Real-time production and inventory level monitoring is made possible by BI capabilities, which help organisations adapt to changing market trends and meet customer demands. Particularly, BI technology can increase the SCM of enterprises in the consumer products sector by providing value-added and financial gains, enabling speedy industry adoption and rapid industry growth. The study employed a quantitative methodology for gathering data, and a simple random sampling method was employed to prevent sample bias. The study considered linear curve estimation (LCE) as a method of data analysis. The results of the model estimations showed that BI recorded positive and significant influence on SC visibility, flexibility, and resilience in the Nigerian consumer goods sector. The study concludes that BI increased the effectiveness of supply chain management (SCM) by improving visibility, anticipating demand, increasing resilience, optimising processes, and boosting productivity. SCM effectiveness depends on the efficient handling of disruptions and uncertainty. The study highlights the practical policy implications following the findings of the study.
Impact of Corporate Social Responsibility (CSR) initiatives on brand reputation: A study on how CSR activities enhance brand reputation and consumer loyalty in the context of sustainable marketing practices
Authors: Vivek Kumar Srivastava
Published: October 2024

Contemporary businesses cannot survive in today's cutthroat marketplace without engaging in Corporate Social Responsibility (CSR) initiatives. Examining how CSR initiatives cultivate consumer loyalty within the framework of environmentally conscious advertising campaigns, this study probes the link between CSR initiatives and public perception of brands. Community involvement, ethical work practices, and environmental stewardship are some of the CSR programs examined in this research, which seeks to understand how these initiatives influence brand image and consumer behaviour. Case studies and consumer surveys were the basis of this study, which found that CSR-active companies' reputations, as well as the trust and loyalty of their target audience, were positively impacted. Customers are more loyal than ever before to brands that reflect their values, and the research highlights the importance of companies that demonstrate genuine commitment to sustainability. Based on the findings, businesses may boost their image, get more customers involved in the long run, and differentiate themselves from rivals by making CSR a central part of their strategy. This study contributes to the growing body of literature on corporate social responsibility and sustainable marketing. It offers valuable insights for organizations that want to build a reputation that is both responsible and customer-centric.
Effect of respiratory muscle exercise on the improvement of respiratory function in asthmatic patients; Systematic review
Authors: Mohammed Sagheer Albarqi  , Hussein Saleh Alyami  , Rakan Abdullah Alshareef  , Saad alsaad  , Fahad Bader AlGhounaim  , KAMAL KAMEL ALSOFYANI  , Mohammed Sultan Alshehri  , Mortada Hassan Aljassas  , Mania Salem Al-baqawi  , Ahmad Abdulrazak Al Dulaijan  , Abdullah Mohammed Al-Mutairi
Published: October 2024

Background: Comprehensive programs that combine medication-assisted asthma treatment with education, breathing techniques, and fitness training have been highlighted. Examining the effects of respiratory muscle training on asthmatic patients was our aim in this study.
Method: This systematic review complied with PRISMA recommendation. As part of an extensive literature search, we searched the electronic databases PubMed, Scopus, and Web of Science for articles published between 2000 and 2017.
Result and conclusion: Six publications were considered in this analysis; one of them were quasi-experimental studies and five was a randomized controlled trial. Exercises and inspiratory muscle training are among the interventions employed. Exercise capacity, inspiratory muscle strength, exertional dyspnea, ER visits, asthma symptoms, β2-agonist intake, IMS, and lung function were the outcome measures that were employed. An IMT program is a helpful intervention for improving IMS in people with asthma, according to this thorough evaluation. It also suggests that this intervention may have no adverse consequences and instead have a favorable effect on IMS, the requirement for rescue medication, and exertional dyspnea. Regarding how IMT affects exercise ability, hospital admissions, and health related QoL, the findings are contradicting. It had no effect on lung function or expiratory muscle strength.
Different types of Cancer treatment, its advancement, benefits, and side effects
Authors: Machathoibi Takhellambam Chanu  , Asem Surindro Singh
Published: October 2024

Cancer is one of the most leading causes of death by a disease. With the advancement of research and technology, increasing awareness and understanding, the diagnosis and treatment of cancer continue to advance while the challenge for cure remains. Cancer is the first or second leading disease that causes premature death in 134 of 183 countries and one in six deaths in the world is due to cancer. The lung cancer is considered as most common cancer with 11.6% of all cases while female breast cancer and colorectal cancer stands at 2nd and 3rd most common cancers with 11.6% and 10.2% respectively. Year after year, the rate of cancer continues to increase. WHOs latest report (https://medicineworld.org/cancer/history) suggested that the number individuals affected and the dead by caused by cancer will nearly double in the next 20 years. Finding a cure for cancer is an urgent need in this world. This review is focused on the currently available different types of cancer therapies, benefits of the treatment and sides effects.
Effectiveness of government policy interventions towards enhancing access to pre-primary and primary education by street children in North Rift Kenya
Authors: Lagat, Paul K  , Lelan Joseph  , Saina Shadrack
Published: October 2024

An estimated 150 million children live on the streets globally, with many not enrolled in school. This growing issue requires urgent attention. UN Sustainable Development Goal 4, Target 5, aims to eliminate educational disparities for marginalized groups like street children, emphasizing the need to address prejudice in education access.The Kenyan government has developed measures to improve all children's access to education, particularly at the pre-primary and primary levels, in light of its signature on the United Nations convention. Government funding for the creation and execution of policy initiatives targeted at improving the access to education for these socially marginalised populations has been consistently large. Many street children still do not go to school though. In this regard a study was conducted to assess the effectiveness of government policy interventions towards enhancing access to pre-primary and primary education by street children. The study used mixed method research and pragmatic paradigm. By using both purposeful and random sampling, a sample size of 322 was selected. The respondents comprised of Street children, county directors of education, quality assurance officers, officers in the Department of Children Welfare, urban primary school teachers, non-governmental organisations, and community-based organisations that assist street children. Data was collected using observation guides, in-depth interviews, and questionnaires. Descriptive and inferential statistics as well as theme analysis were used to analyse the data, respectively. The results showed a statistically significant relationship between government policy interventions and street children's access to pre-primary and primary education in North Rift Kenya; specifically, the national pre-primary education policy had a Pearson correlation coefficient of 0.711, while the inclusive education policy had a coefficient of 1.0. The research additionally demonstrated the necessity of reinforcing the involvement of other relevant parties in improving street children's access to pre-primary and primary education.
Wine, Women and Royalty in Gandhāra
Authors: Antonetti Claudia
Published: October 2024

Curtius Rufus (8.10.34‑36) narrates that when Alexander the Great had conquered the city of Massaga, which was the capital of the kingdom of the Assacenians, queen Cleophis presented herself to the conqueror with a retinue of noblewomen who libated wine from golden cups: in this way she managed to maintain her kingdom. Beyond the fictional episode that is analysed as a ‘cultural representation’, the paper investigates the plausibility of the ritual act that the text reports, i.e., the libation of wine through peculiar precious vessels (paterae or phialai – often inscribed), in the historical context of Greater Gandhāra and, more in general, in the ‘Indo-Iranian frontier’, in connection with royalty and the presence of women of rank. Research shows that the connection between these elements is functional to the ostentation of prestige by elites, and to the recognition of kingship: the possession and use of gold libation cups is a characteristic of sovereignty, a speaking symbol for both Indians and Greeks.
NARCISSISM AND ENVY'S EFFECT ON TOURISTS SHARING SELFIE IN SOCIAL COMPARISON THEORY APPROACH
Authors: Baran Züleyhan , Karaca Şükran
Published: October 2024

Tourism, as a social endeavor, has been significantly influenced by advancements in technology and communication tools, thereby facilitating interpersonal interactions as a social activity. The widespread integration of smart technologies and the continually evolving social media platforms have fundamentally altered the rapid dissemination of tourist experiences. Consequently, this research aims to examine the tendency to share selfies on social media platforms within the framework of social comparison theory. Data were collected from 533 participants through an online survey and were subjected to Exploratory Factor Analysis, Confirmatory Factor Analysis, and Path Analysis within the framework of Structural Equation Modeling. The analyses revealed that narcissism and envy positively impact tourists' tendencies to share selfies on social media platforms. Based on these findings, the study offers recommendations for developing effective strategies for tourism stakeholders.
Применение технологических и физико-химических подходов при разработке инъекционных форм производного индолокарбазола
Authors: Ланцова А. В. , Санарова Е. В. , Дмитриева М. В. , Орлова О. Л. , Шпрах З. С. , Бунятян Н. Д. , Ланцова Д. А. , Колпаксиди А. П. , Еремина В. А. , Игнатьева Е. В. , Гусев Д. В. , Николаева Людмила Леонидовна
Published: October 2024

Разработка рациональной лекарственной формы для активной фармацевтической субстанции (АФС) — одно из основных звеньев в цепи комплексных исследований по созданию лекарственного средства. Цель настоящего исследования — применение физико-химических и технологических приемов для создания различных парентеральных форм на основе практически нерастворимой в воде АФС — ЛХС-1269 и их сравнительное исследование по основным показателям качества, характерным для парентеральных ЛФ. В процессе работы были оценены составы и технологии получения трех моделей ЛФ на основе ЛХС-1269, показаны основные их преимущества и недостатки.
Разработка общей фармакопейной статьи по определению содержания примесей N-нитрозаминов в фармацевтических субстанциях группы сартанов и субстанциях метформинов для включения в государственную фармакопею
Authors: Баталова Татьяна Леонидовна , Галеев Роман Рашитович , Яруткин Алексей Викторович , Багирова Валерия Леонидовна , Лежнина Н. А.
Published: October 2024

В последние годы постоянно появляется информация об обнаружении N-нитрозаминов, которые могут образовываться в объектах и живых организмах из большого круга азотосодержащих и нитрозирующих веществ. Насчитывается более 300 соединений, и порядка 90 % из них проявляют канцерогенность. Огромную роль в изучении N-нитрозаминов сыграла разработка хроматографических методов количественного определения этих соединений — ГХ-МС, ВЭЖХ-МС, которые являются высокочувствительными и позволяют определять примеси N-нитрозаминов в нанограммах. Институтом фармакопеи и стандартизации в сфере обращения лекарственных средств ФГБУ «НЦЭСМП совместно с Ярославским филиалом ФГБУ «ИМЦЭУАОСМП» Росздравнадзора разработан проект общей фармакопейной статьи (ОФС) «Определение примесей N-нитрозаминов», включающей валидированные методики (ГХ-МС, ВЭЖХ-МС), применимые для контроля качества фармацевтических субстанций синтетического происхождения группы сартанов и субстанций метформина в лабораториях с различной оснащенностью.
Унификация методик определения подлинности и содержания гинсенозидов в лекарственных средствах из корней женьшеня настоящего Panax ginseng C. A. Mey
Authors: Бекетова Анастасия Викторовна , Евдокимова О. В. , Лякина М. Н.
Published: October 2024

Впервые проведена сквозная стандартизация фармацевтической субстанции растительного происхождения и лекарственного препарата на основе женьшеня настоящего Panax ginseng C. A. Mey. Унифицированы методики идентификации методом тонкослойной хроматографии (ТСХ) и количественного определения биологически активных веществ (БАВ) — гинсенозидов методом высокоэффективной жидкостной хроматографии (ВЭЖХ) в указанных лекарственных средствах. Предложены нормы содержания гинсенозидов в субстанции и лекарственном препарате на основе женьшеня настоящего для последующего включения в соответствующие фармакопейные статьи.
COMO MANTER O RIGOR NA CONDUÇÃO DE UMA REVISÃO INTEGRATIVA?
Authors: Andrade João Vitor , Souza Juliana Cristina Martins de
Published: October 2024

Intitulada "Como Manter o Rigor na Condução de uma Revisão Integrativa?", a carta aborda os principais erros observados em revisões recentes que comprometem a qualidade e a confiabilidade dos achados. Entre os equívocos mais comuns, destacam-se: a inadequação na escolha do referencial teórico; o uso incorreto de acrônimos na formulação de perguntas de pesquisa; a definição inadequada das fontes de informação; o uso impróprio de thesaurus específicos para cada base de dados; a busca em "all fields" sem filtragem adequada; a delimitação temporal sem justificativa; a aplicação incorreta de instrumentos para extração de dados; quadros de síntese extensos e mal estruturados; a ausência de avaliação dos níveis de força de evidência e da qualidade metodológica dos estudos; a inclusão equivocada de elementos próprios de revisões sistemáticas; a limitação de idiomas sem critério claro; e a falta de uma síntese adequada das evidências. Acreditamos que esta discussão é fundamental para fortalecer o rigor metodológico nas revisões integrativas e assegurar a confiabilidade dos resultados obtidos, contribuindo para a evolução da prática baseada em evidências na área da saúde.
AI-Driven Governance: Transforming Public and Addressing Legacy Issues in Post-Colonial Africa
Authors: Onduko Joseph Otochi , Kalombo Michael Acharya , Kuol Makuach Dut , Makale Bentley Gift , Saleh Mahsen Abdulkarim
Published: October 2024

This paper examines the transformational potentials that artificial intelligence (AI) may hold to reshape our public policies and methods of administration in the unique post-colonial context of Africa. We thus seek to unearth how AI technologies can be employed at a continental scale in the remedy of legacy issues arising from colonialism including; governance inefficiency, literacy gaps, and inequitable service delivery across the continent. From critically analyzing the application of AI in various public sectors, our research seeks to unveil opportunities for AI in inclusive decision-making processes to improve transparency as well as tailoring public service delivery to the diversified needs of African populations. The paper describes the way forward in the adoption of AI solutions that involve issues on a variety of considerations, infrastructure requirements, financial obstacles, and capacity development, among others.
Highlighting the potential of AI in governance, this research underscores the place of local innovation stakeholder engagement, and international collaboration in assuring that AI plays out as a development lever for both sustainable development and empowerment in post-colonial Africa.
Dynamics of Financial Fragility in Hong Kong’s Non-Financial Private Companies and the Business Cycle
Authors:   National Research University “Higher School of Economics”, Berezkina O. A. , Rozmainsky I. V. ,   National Research University “Higher School of Economics”
Published: October 2024

This article examines the financial instability hypothesis in Hong Kong's contemporary economy, investigating whether the proportion of financially fragile firms rises during cyclical upswings as economic crises approach. Two criteria developed by Mulligan and Nishi were used to assess financial fragility in the private sector from 2006 to 2022. The Mulligan criterion was applied to 94 leading firms by capitalization, while the Nishi criterion was applied to the top 99 firms. Findings indicate that, prior to the Great Recession, the share of financially fragile firms—characterized by speculative or Ponzi financing—increased, peaking just before the crisis and again during the COVID-19 pandemic. While the financial instability hypothesis is partially supported, the high proportion of financially fragile firms in 2016–2017 contradicts this hypothesis. Overall, our analysis shows that hedge financing regimes predominated among Hong Kong’s private companies. The relatively low share of financially fragile firms compared to those in Southern European countries can be attributed to the absence of austerity measures in Hong Kong, as local authorities did not attempt to address budget deficits due to their minimal levels. Additionally, the Hong Kong Monetary Authority’s policy to curb excessive bank lending during economic expansions contributed to the dominance of hedge firms. The tourism and transport sectors are the most financially fragile industries.
Macroprudential Policies in the Light of the Development of Information Technologies: A Synthesis on the Effective Early Warning Signals
Authors:   Université Grenoble Alpes, Sakovich M.
Published: October 2024

In response to recent recurrent crises, innovative macroprudential policies (MaPs) have been framed and implemented to address the weaknesses of market-led microprudential mechanisms and enhance the stabili­ty of financial systems. However, the effectiveness of the tools used to implement MaPs remains a critical research question. Early warning signals (EWS) serve as indicators of potential future crises. This paper explores approaches for identifying EWS to optimize the impact of MaPs, particularly in light of advances in information technology. It provides a comprehensive review of academic studies that identify effective EWS by analyzing numerical data through econometric and machine learning (ML) methods or by extracting economic insights from text using deep learning (DL) techniques — innovative methods for financial supervision and regu­lation. The findings, considering current regulatory practices, highlight the benefits of ML-based approaches for processing large sets of numerical data and the growing potential of text-based methods for assessing economic expectations.
Machine Learning Methods in Investor Risk Profiling
Authors:   National Research University “Higher School of Economics”, Kurochkin S. V. , Pavlov N. A. ,   Snke OS GmbH, Tkachenko M. V. ,   National Research University “Higher School of Economics”,   PJSC “Sovcombank”, Yaremich E. A. ,   Sberbank of Russia
Published: October 2024

Investment profiling is essential for investors as it differentiates between financial products that align with their risk tolerance and those that are excessively risky. Additionally, investment profiling serves as a tool to prevent misselling. Most financial institutions use risk profiling questionnaires to establish an investor's risk profile. However, the effectiveness of this method is questionable, as actual investor behavior can significantly differ from the responses provided in these questionnaires. This article aims to develop an interactive platform for investment profiling, where data is collected through a web interface. Regression analysis is conducted using Python. On the platform, users engage in a game simulating exchange trading, where they must select a stop loss or take profit in each of ten rounds. This approach allows the investor's risk profile to be determined based on actual user behavior rather than abstract questionnaire responses. The users' actions are then classified using machine learning methods. As a result, it was shown that the constructed model correctly predicts 65.78 % of investors’ decisions, whereas the survey correctly identified the risk profile of only 53.7 % of investors. These findings could be used by financial companies for the improvement of their investment profiling process.
Strategising in the Development of Government Programs: A Practice Review and Case Studies
Authors:   Institute of Economics of the Russian Academy of Sciences, Bratchenko S. A.
Published: October 2024

The implementation of government programs (GPs) often fails to meet their strategic goals and socio-economic objectives. However, the selection and adequacy of mechanisms and tools for achieving these objectives remain underexplored in academic literature, highlighting the research gap this study addresses. This study is based on two key concepts: strategy as a coordinated set of decisions and actions aimed at a specific goal, and the distinction between strategic and operational goals. While operational goals can be met, they do not guarantee achieving the strategic objectives that truly represent the aims of government and management. Our analysis of several government programs revealed a lack of coherent strategies, which resulted in a failure to achieve the intended goals. This highlights the urgent need for strategic planning in the development of government programs. Addressing these issues and formulating relevant recommendations could open avenues for further research.
Inter-Municipal Cooperation in Russia: Theory and Practice of Development
Authors:   Institute of Economics of the Ural Branch of the Russian Academy of Sciences, Suvorova A. V.
Published: October 2024

Exploring inter-municipal cooperation is highly relevant because of its potential to enhance the role of local governments in promoting socio-economic development within Russian territories. This article explores the unique aspects of inter-municipal cooperation, which enables municipalities to pool their resources and efforts to achieve common goals, particularly in the face of limited local resources. This study's theoretical and methodological framework draws on economic theory, regional economics, and public administration, utilizing synthesis, scientific abstraction, and economic analysis as key methods. The research identifies a system of essential prerequisites for effective inter-municipal cooperation, including the willingness of municipal representatives to collaborate, driven by clear goals and an understanding of the benefits; the presence of suitable entities for partnership; and a well-developed system for organizing these collaborations, shaped by established institutions. A key finding of this research is the crucial relationship between each element of the prerequisite system and the effectiveness of inter-municipal interactions. Analysis of Russian practices shows that many associative organizations lack proactive engagement for achieving meaningful outcomes, leading to largely formal partnerships. Furthermore, members of inter-municipal enterprises often face poorly developed methods and rules for interaction.The findings suggest several directions for enhancing policies at various governmental levels that regulate the development and implementation of inter-municipal cooperation. These policies should adopt a systematic approach that addresses all prerequisites for collaboration, focusing on refining formal norms and regulations while also raising awareness of the features and benefits of this cooperative instrument.
The first record of the lichen genus Tayloriellina (Teloschistoideae) and the North American species T. microphyllina in Eurasia (Russian Far East)
Authors: Frolov I. V. , Prokopiev I. A. , Tumanina P. D.
Published: October 2024

The subfamily Teloschistoideae (Teloschistaceae) is mainly distributed in the Southern Hemisphere. Just a few its species were recorded in eastern Asia, and only Teloschistes flavicans has been known in the Russian Far East. Here, we report the discovery of Tayloriellina microphyllina in the Primorye Territory on the eastern shore of Lake Khanka where it is abundant in xerothermic conditions of Quercus mongolica–Pinus × funebris forest. This corticolous Teloschistoideae species has been previously known in the temperate regions from the southern Canada to central Mexico in North America. Our finding is confirmed by molecular data (nrITS). Morphology and chemistry as well as long distance dispersal vs. relict origin of the Far Eastern population of T. microphyllina are shortly discussed.
News-Driven Volatility: A Deep Dive into Leading Nifty Healthcare Stocks
Authors:   Department of Operations and IT, ICFAI Business School Hyderabad, Hyderabad, India, Mohapatra Sonal , Chakraborty Sayan ,   Department of Operations and IT, ICFAI Business School Hyderabad, Hyderabad, India
Published: October 2024

This study conducts a comprehensive analysis of stock price volatility within the healthcare sector, concentrating on five prominent companies: Sun Pharma, Dr. Reddy, Cipla, Apollo Hospitals, and Divis Laboratories. Leveraging annual daily data from the Nifty Healthcare Index for 2023, the research delves into the intricate relationship between stock price fluctuations and market-sensitive news events. Employing a robust methodology that integrates slope calculations, ANOVA, Tukey’s HSD tests, moving averages, and standard deviation metrics, the study evaluates the differential impact of these events on stock volatility. The findings reveal significant volatility, with Apollo Hospitals demonstrating the highest levels of price variability. The research highlights the profound influence of regulatory shifts, financial performance metrics, and macroeconomic conditions on stock behavior. These insights are pivotal for investors and financial analysts seeking to navigate the complex dynamics of the healthcare market. The application of moving averages further refines the analysis, offering a sophisticated lens through which to assess and interpret market trends, ultimately enhancing the strategic decision-making process within this critical sector.
Capital, Performance, and Regulation: An In-depth Analysis of Private Equity's Evolution
Authors: Bonthala Ram , Purohit Advaith , Haile Dagim , Munipalle Pravith , Krishnan Pranav
Published: October 2024

This paper explores the evolution of private equity (PE), tracing its origins to early investment models and analyzing its modern developments. The focus is on understanding the dynamics of PE performance during downturns, the role of dry powder, and the challenges of regulation and transparency. Additionally, insights from interviews with local private equity professionals shed light on decision-making, risk management, and valuation methods in the private equity industry today.
A Grounded Theory of how Consumers Determine the Veracity of Online User Reviews
Authors: Walther Michelle , Watson Steven James , Boden Alexander , Stel Marielle
Published: October 2024

Consumers are using online reviews to decide which products to purchase. Cybercriminals produce fake reviews to influence unknowing consumers into buying products of lower quality, which can lead to financial, emotional and physical damage. We have little under-standing of how consumers make decisions about the veracity of online reviews, or incorpo-rate online reviews into purchasing decisions, especially outside of the laboratory. Therefore, in this study using a grounded theory approach we elaborate on how consumers determine the veracity and trustworthiness of online user reviews. Twenty-five interviews with Dutch and German consumers were held to identify deception cues, thought processes and other markers of online shopping behaviour. The results show that consumers use online reviews differently depending on context. Our new theory proposes that consumers process reviews in at least two steps. First, they scan the review for relevance and then they determine the trustworthiness, credibility, and veracity. Additionally, we identified different deception cues that are used. Together, these findings lead the way into a new understanding of human fake review detection online.
Inability to detect deepfakes: Deepfake detection training improves detection accuracy, but increases emotional distress and reduces self-efficacy
Authors: Diel Alexander , Teufel Martin , Bäuerle Alexander
Published: October 2024

Deepfakes are media content generated by an artificial intelligence with the intention to be perceived as real. Deepfakes become an increasing risk for society due to being widespread and effective deceptiveness. Although several strategies have been developed to increase human deepfake detection performance, research using current technology is yet sparse. In addition, the effects of deepfake exposure on personal distress are understudied. In this experiment, a training group (n = 48) underwent a feedback-based deepfake detection training and improved accuracy by around 20%, while a control group without feedback (n = 48) did not. Furthermore, the training group reported a significant increase in emotional arousal, decrease in emotional valence, increase in anxiety towards AI misuse, increase in negative affect, and decrease in self-efficacy, compared to the control group. Exploratory analysis on participants’ reported detection strategies indicates that “naïve” participants are tricked by deceptive features in deepfakes that trained participants can become aware of. The results suggest that while feedback-based training is effective in increasing deepfake detection, the confrontation with one’s inability to detect deepfake may cause emotional distress.
BUSINESS SUSTAINABILITY PRACTICES IN MICRO AND SMALL ENTERPRISES: A SYSTEMATIC REVIEW
Authors: Becerra-Bizarrón Manuel Ernesto , Gomez Bernal Juan Rodrigo
Published: October 2024

Micro and small enterprises (MSEs) are essential for economic and social development globally, as they represent a significant proportion of employment and production. Nonetheless, these enterprises confront substantial difficulties in incorporating sustainable practices, largely attributable to their limited financial resources and capacity, difficulties in accessing relevant information, scarcity of operational resources, and the lack of regulatory frameworks to facilitate their operations. The adoption of sustainable practices is presented as a viable strategy to improve both their competitiveness and profitability, while contributing to social and environmental well-being. For this reason, a systematic review was conducted to answer the question: What are the sustainability practices of micro and small enterprises? The objective was to compile the business sustainability practices that have been documented in MSEs. Bibliographic research was carried out in different databases of articles published between 2012 and 2023. The main results were presented through a qualitative systematic review. The studies carried out in MSEs from different sectors reported practices related to technological innovation, product innovation, strategic management, as well as economic, social and environmental aspects. Longitudinal studies are required to assess the long-term impact of sustainable practices on MSEs.
Exploring Predictors of Lucid Dreaming Skills: Insights from a community-based Study
Authors: Sammer Felix , Haug Susanne , Timpe Veronika
Published: October 2024

In a lucid dream one is aware that one is dreaming. However, the degree of awareness andcontrol someone typically possesses in their lucid dreams, summarized as an individual’s luciddreaming skills, varies. Previous research has identified both the frequency of lucid dreamsand age as predictors. In this study, we explored the relationship between lucid dreaming skillsand age, dream recall, nightmare frequency, lucid dreaming knowledge, sleep quality, meta-awareness, self-efficacy, induction technique use, dream journal use, and beliefs related tolucid dreaming, using data from 344 participants recruited primarily from online lucid dream-ing communities. Multiple regression analysis revealed lucid dreaming frequency and luciddreaming knowledge as significant predictors. Meta-awareness was also indicated to be another predictor, but did not remain significant after adjusting for multiple comparisons.Additionally, we obtained estimates for the prevalence of sleep paralysis and false awakenings from lucid dreams, investigated the connection of sleep paralysis with lucid dreamingfrequency and induction technique use, and examined the four largest lucid dreaming communities in our sample in terms of community differences as well as most used techniques.Results revealed a small correlation between sleep paralysis and lucid dreaming frequency, butno significant relationship of sleep paralysis with induction techniques. Community differenceswere noted in terms of age, dream recall, induction technique use, and lucid dreaming relatedbeliefs. The most widely used techniques were found to be WBTB, MILD and WILD.
Searching for the neural correlates of emotional intelligence: a systematic review.
Authors: Robles Alberto Megías , Aguiar Víctor Martín , Fernández-Berrocal Pablo
Published: October 2024

The concept of emotional intelligence (EI) has gained significant interest in the scientific community in recent years. Despite its demonstrated impact on social and personal functioning, the neural bases underlying EI remain poorly understood. This study aimed to conduct a comprehensive systematic review of the existing literature on the neural correlates of EI. The search was conducted in Web of Science, Scopus, PsycINFO, and PubMed databases. A total of 849 studies were initially identified (after duplicates were removed), of which 34 met the inclusion criteria and were selected for the final synthesis. These studies employed various neuroimaging techniques such as lesion studies, grey and white matter structural MRI, task-based fMRI, resting-state fMRI, and EEG. The findings of this review suggest that EI is supported by a complex and widespread brain network primarily implicated in the integration of cognitive and emotional processes, with significant involvement of structures commonly linked to social cognition. The literature mainly emphasized the role of the insula, ventromedial prefrontal cortex, orbitofrontal cortex, cingulate cortex, and amygdala in conjunction with brain networks comprising these areas, such as the somatic marker circuitry and the social cognition network. Other brain regions, including the dorsolateral prefrontal cortex, cuneus, precuneus, fusiform gyrus, superior temporal gyrus, cerebellum, parahippocampal gyrus, inferior frontal gyrus, frontopolar gyrus, superior parietal lobule, and superior longitudinal fasciculus were also frequently mentioned. However, further research is needed to clarify the roles of some of these regions in EI. Limitations and future lines of research are discussed.
Students with Disabilities in Clinical Internships: Perspectives of College Faculty, Accessibility Advisors, and Students
Authors: Fichten Catherine , Havel Alice , jorgensen mary
Published: October 2024

We present findings from an interview study concerning Canadian college students with disabilities in clinical internships. The study explored the perspectives of seven college faculty internship supervisors, eight accessibility advisors, and 14 students with diverse disabilities who were currently doing - or had recently completed - a required internship for their program. Thematic analysis was used to uncover key themes related to facilitators and barriers relevant to accessibility, knowledge, communication, disclosure / self-identification, policies / legislation, support strategies, and useful technologies. Highlights of our results indicate that accommodations that are typically available in college classrooms are not appropriate for most internship settings, that policies and procedure manuals related to accessibility supports / accommodations in internships are scarce, and that communication among faculty, students and accessibility advisors is poor and do not typically include on-site clinical supervisors. In addition, we found that students are often reluctant to self-identify as having a disability because of fear of stigma and professional concerns. A variety of technologies that can be useful in internship settings was identified, but participants noted that internship settings were often reluctant to use these because of concerns with patient confidentiality and biohazard safety. We recommend that colleges develop Equity, Diversity, Inclusion and Accessibility (EDIA) policies that reflect internships and that communication structures be developed that allow all stakeholders to participate.
The past, present, and future of relation perception
Authors: Hafri Alon , Papeo Liuba
Published: October 2024

What kind of information does perception represent, and in what format? How does perception interface with higher-level cognitive systems for thinking, reasoning, and language? Questions like these motivated Green and Hummel (henceforth, G&H) in their seminal 2006 article in JEP:HPP, “Familiar Interacting Object Pairs Are Perceptually Grouped.” At first glance, the subject matter of G&H’s article appears quite simple and mundane: actions like pouring coffee, cutting bread, or unlocking a door. Yet hidden at the core of such everyday routines are specific functional relationships between objects, such as a carafe and a mug, a knife and a loaf, or a key and a lock. G&H’s article was a turning point in a long but sparse tradition of research that had considered such relations from a vision-science perspective (e.g., Scholl & Tremoulet, 2000; Ullman, 1984), as it steered many researchers — ourselves included — to explore questions in the burgeoning field now known as “relation perception.” This field advances the idea that, beyond objects, features, and locations, the visual system spontaneously or automatically extracts and represents relations — properties that specify interactions or connections between objects, rather than each object’s individual characteristics. In this perspective article, we outline new aspects of human visual perception that have been the focus of this field, and the major outstanding questions that remain.
Does literature evolve one funeral at a time?
Authors: Sobchuk Oleg , Beheim Bret
Published: October 2024

The cultural evolution of literary fiction is rarely studied, but rich literary data can help address some of the general problems of cultural change. In this paper, we use a massive dataset of Anglophone fiction (over 23,000 books) and the tools of natural language processing to understand whether the long-term change of topics in books is driven by the individual change of authors or by the cohort turnover in author populations. To answer this question, we borrow a method from evolutionary ecology: decomposition analysis based on the Price equation. To prove the suitability of this method, we first apply it to simulated data and show that it does allow distinguishing between these two processes. Afterwards, we decompose the temporal trajectories of topics and measure the relative effects of the arrival of newcomer authors (entrances), the retirement of authors (exits), and the change of topic preferences during authors’ lifetimes (individual change). We find that cohort turnover is a stronger force than individual change. Within the cohort effects, the effect of entrances is almost twice stronger than the effect of exits. Using simulated data, we discover that this difference stems from the unequal lengths of authors’ careers.
Hierarchy of Influences
Authors: Rodarte André Kupfermann , Richardson Robert
Published: October 2024

Pamela J. Shoemaker and Stephen D. Reese’s Hierarchy of Influences is a theoretical model that outlines levels of forces affecting media content production. Since its introduction in 1991, the model has proven to be an important framework to study contemporary forms of political communication and the media transformations associated with them. The HoI model is particularly well equipped to examine how media production takes place within a larger organizational, institutional, and ideological context, as it maps the diverse streams of influence into a comprehensive framework. In this encyclopedia entry, the authors summarize the theoretical components of the model and discuss how it has been applied in the study of political communication.
Xihuan Mandarin (Level Pemula 1)
Authors: Haryati Novia Ananda , Amalia Marinda Putri , Ridloah Siti
Published: October 2024

Buku ini adalah modul belajar Bahasa Mandarin untuk pemula. Dalam modul ini terdapat 10 bab yang pembelajaran Bahasa Mandarin dasar mengenai: Nada; Huruf Latin; Karakter Bahasa Mandarin; Kosakata Kehidupan Sehari-hari; Keluargaku; Kata Ganti; Nama Hari dan Bulan; Kalimat Tanya; Kata Salam, dan Kalimat dalam Belanja. Semoga buku ini memberikan pijakan pemahaman Bahasa Mandarin bagi pemula yang baru belajar Bahasa Mandarin.
Momente posthumaner Gewöhnung
Authors: Dietzsch Ina
Published: October 2024

Posthumanism is a controversial term that evokes very different associations and yet we are surrounded by what it attempts to describe on a daily basis. The use of computers and the internet alone leads to regular requests to confirm that we are not robots, but human beings. People wear implants that merge with their body and its processes, live in smart homes or share their household with digital assistance systems. The argumentation of this lecture takes up the concept of posthumanism and links it to the concept of habituation. Using the example of near-future series and digitally permeated more-than-human communication, the thesis is pursued that current technological developments not only challenge understandings of the subject, but that a new concept of habituation is also needed, with which various moments can be identified that are integrated into structures and networks of habituation of the posthuman or are organised within them.
Tinjauan Bibliometrik pada Google Scholar: Tren Publikasi tentang Reforma Agraria di Indonesia
Authors: Amri Ikhwan , Widura Elsa , Larasati Fauziah
Published: October 2024

Agrarian reform has long interested scholars from numerous fields, but its research development has not been mapped. This study uses bibliometrics to discover Indonesian agricultural reform research trends. Publish or Perish and Google Scholar database were used to acquire data. Data analysis includes data profiles and research trends, top publication, author, and cited article sources, and text mapping. Researchers found 345 documents from 1962–2024, with research trends rising after 2018. BHUMI: Jurnal Agraria dan Pertanahan has the most articles on this topic, and MN Salim contributes the most. The most-cited article is "Claiming the Grounds for Reform: Agrarian and Environmental Movements in Indonesia". Bibliometric network analysis identified four abstract term clusters: legislation and policy, institutions and actor collaboration, agrarian reform program implementation, and others. These findings are useful for Indonesian agrarian reform scholars and practitioners.
Reforma agraria sejak lama telah menarik perhatian para peneliti dari berbagai disiplin, akan tetapi belum ada yang memetakan perkembangannya penelitiannya. Studi ini bertujuan untuk mengidentifikasi tren dan perkembangan penelitian mengenai reforma agraria di Indonesia melalui tinjauan bibliometrik. Pengumpulan data penelitian melibatkan Software Publish or Perish dan mengandalkan database Google Scholar. Analisis data mencakup tiga bagian yaitu: (1) profil data dan tren penelitian, (2) sumber publikasi utama, penulis terkemuka, dan artikel dengan sitasi terbanyak, serta (3) pemetaan teks. Sebanyak 345 dokumen dari tahun 1962-2024 berhasil diidentifikasi, dengan tren penelitian meningkat signifikan sejak tahun 2018. Jurnal dengan jumlah artikel terbanyak pada topik ini ditemukan pada BHUMI: Jurnal Agraria dan Pertanahan, sementara penulis yang paling banyak kontribusinya adalah MN Salim. Artikel yang paling berpengaruh dari segi sitasi berjudul "Claiming the Grounds for Reform: Agrarian and Environmental Movements in Indonesia". Berdasarkan analisis tinjauan bibliometrik berbasis jaringan, ada empat klaster yang terbentuk dari kumpulan istilah dalam abstrak: (1) hukum dan kebijakan, (2) kelembagaan dan kolaborasi antar aktor, (3) implementasi program reforma agraria, dan (4) lainnya. Temuan ini memberikan wawasan yang berharga bagi para akademisi dan praktisi yang terlibat dalam studi dan implementasi reforma agraria di Indonesia.
Exploring Buddhist Literature and Philosophical Counseling Techniques: A Pathway to Social and Cultural Resilience in Strengthening Asia
Authors: Khatun Munna
Published: October 2024

Buddhism, one of the most profound philosophical systems in Asia, has historically influenced the social, cultural, and intellectual fabric of many Asian societies. This study explores the literature of Buddhism and the techniques of Buddhist philosophical counseling, investigating their contemporary relevance and impact on strengthening the socio-cultural cohesion across Asia. The motivations behind this study stem from the need to understand how ancient wisdom can address modern-day challenges such as mental health crises, social fragmentation, and ethical dilemmas. By examining canonical Buddhist texts and contemporary interpretations, this research seeks to demonstrate how Buddhist teachings—particularly those related to mindfulness, compassion, and interdependence—can be applied through counseling practices to enhance individual well-being and foster collective harmony. The methodology involves a comprehensive review of Buddhist literature, along with qualitative analysis of case studies where Buddhist philosophical counseling has been effectively integrated into modern counseling practices in Asian contexts. The major conclusions indicate that Buddhist techniques offer a unique approach to counseling, emphasizing inner transformation and ethical living, which align with the core values of many Asian societies. This study holds significant implications, as it highlights how Buddhist counseling not only addresses individual psychological needs but also promotes social solidarity, cultural continuity, and regional unity in Asia, especially in times of globalization and rapid modernization. The findings contribute to a deeper understanding of how ancient Buddhist philosophies can be effectively harnessed to address the contemporary issues facing Asia today, reinforcing both personal growth and collective resilience.