Using Visual Aids to Improve Communication of Risks about Health: A Review by Rocio Garcia-Retamero, Yasmina Okan, Edward T. Cokely

“…The review spans probabilistic national U.S. and German samples, as well as immigrant (i.e., Polish people living in the United Kingdom) and undergraduate samples in Spain. …”
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Comparison of Academicians’ Work Engagement Behavior and Intentions to Turnover by Cihan Ozer, Mirac Aslantas

“…Intention to leave is defined as a conscious decision made by individuals to leave the organization if they are dissatisfied with their job conditions. …”
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La méthode des analogues : reproduire le caractère saisonnier de la distribution d’eau potable dans les stations touristiques de montagne by Martin Calianno

“…The size and representativeness of the user sample are the most important factors to be taken into account in its implementation.…”
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Robustness of Tomato Quality Evaluation Using a Portable Vis-SWNIRS for Dry Matter and Colour by U. K. Acharya, P. P. Subedi, K. B. Walsh

“…Updating the calibration model with new samples to extend range in the attribute of interest and in sample matrix is key to better prediction performance. …”
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Deep Embedded Auto-encoder for End-to-End Unsupervised Image Anomaly Detection by Xuan Huang, Hailin Tang

“…Our approach integrates deep representation learning with adaptive clustering to effectively separate normal patterns from anomalies by learning robust feature representations and dynamically refining decision boundaries. A key innovation is our intelligent sample selection mechanism, which enhances model stability by prioritizing high-confidence normal samples during training, along with an iterative optimization strategy that progressively improves anomaly discrimination. …”
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Listeria spp. in Street-Vended Ready-to-Eat Foods by Moustafa El-Shenawy, Mohamed El-Shenawy, Jordi Mañes, Jose M. Soriano

“…L. monocytogenes of ≥103 CFU/g were detected in 7% of the total examined samples, which represent 49% of the contaminated food samples (meat, poultry, seafood, dairy products, and products of plant origin). …”
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Four Categories of Viral Infection Describe the Health Status of Honey Bee Colonies. by Esmaeil Amiri, Marina Meixner, Steen Lykke Nielsen, Per Kryger

“…Based on the distribution of virus titers, we established four categories of infection: samples free of virus (C = 0), samples with low virus titer (estimated number of virus copies 0 < C < 103), samples with medium virus titer (103 ≤ C < 107) and samples with high virus titer (C ≥ 107). …”
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The Influence of Brand Perception, Social Influence, and Attitude to Functional Food on Repurchase Intention With Conspicuous Consumption as an Intervening Variable (Study on Kopi... by Aulia Life Rahma Putri, Nurul Azizah

“…This study uses quantitative methods with purposive sampling techniques, where data is collected through questionnaires distributed to 100 respondents. …”
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Investigation of Drug Therapy Management in Patients Considered Candidates for Cardiac Surgery at Yazd Shohadaye Kargar Hospital in 2022 — A Cross-Sectional Study by Azam Mansori, Sahar Mesbah, Zahra Bagheri, Golnaz Afzal

“…During the pre-surgery medication evaluation, 35.3% of patients had only made decisions on a few of their medications at home, while 35% had not made any decisions regarding their medications. …”
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Spontaneous thought separates into clusters of negative, positive, and flexible thinking by Marta Migó, Jessica A. Cooper, Philip A. Kragel, Michael T. Treadway

“…Word-association data was collected from an exploratory sample (N 1 = 65), a first replication sample (N 2 = 79), and, following pre-registration, a second replication sample (N 3 = 222). …”
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A new machine learning method for rainfall classification: temporal random tree by Kokten Ulas Birant, Bita Ghasemkhani, Özlem Varlıklar, Derya Birant

“…To address this issue, the article proposes a novel method, named temporal random tree (TRT), in which recent training samples have a greater impact on the model’s decision-making process. …”
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Few-Shot Intelligent Anti-Jamming Access with Fast Convergence: A GAN-Enhanced Deep Reinforcement Learning Approach by Tianxiao Wang, Yingtao Niu, Zhanyang Zhou

“…The method constructs a Generative Adversarial Network (GAN) to learn the time–frequency distribution characteristics of short-period jamming and to generate high-fidelity mixed samples. Furthermore, it screens qualified samples using the Pearson correlation coefficient to form a sample set, which is input into the DQN network model for pre-training to expand the experience replay buffer, effectively improving the convergence speed and decision accuracy of DQN. …”
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Oxford Utilitarianism Scale: Psychometric Properties of a Spanish Adaptation (OUS-Spa) by Marcos Pascual-Soler, Jose Berrios-Riquelme, Raquel Gomez-Frias, Leynin Caamaño-Rocha, Dolores Frias-Navarro

“…This study aims to examine the psychometric properties of the Spanish adaptation of the Oxford Utilitarianism Scale (OUS-Spa) across three samples. The total sample consisted of 3,427 participants ( M  = 33.11 years; SD  = 13.68; 67% female), including respondents from Spain ( n  = 1,047), Chile ( n  = 1,039), and Colombia ( n  = 1,341). …”
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Challenges faced by the Iranian health system in containing COVID-19: insights from a conventional content analysis by Sajad Khosravi, Mahboobeh IzadPanah, Saeid Mirzaei, Hosein Rahmani, Nadia Oroomiei

“…Methods A conventional content analysis approach was employed in this qualitative study. The research sample included experts responsible for managing, making decisions about preventing COVID-19, and caring for and treating patients. …”
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ANALYSIS OF THE FINANCIAL PERFORMANCE OF COMPANIES EXPERIENCING AUDIT DELAY AND MARKET REACTION by Nurwidayani Nurwidayani, Fahrunnisa Fahrunnisa, Bagus Arif Rahman, Wiwit Apit Sulistyowati

“…Design/methodology/approach: This study uses a quantitative approach, with a population of 53 companies. The sample was determined using purposive sampling techniques, with 20 companies meeting the criteria. …”
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Shopping under the influence: how price discounts and hedonic motivation drive impulse buying among young consumers in Indonesia by Agung Utama, Endang Hariningsih, Anita Mustikasari, Wardana Wardana, Arif Wibowo

“…This study examines the impact of price discounts, positive emotion, and hedonic motivation on impulsive buying decisions in Indonesia, with a focus on the moderating role of gender. …”
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Investigating Adult Health Literacy in Tuyserkan City by Maryam Afshari, Salman Khazaei, Masome Bahrami, Hosna Merati

“…Introduction: Health literacy is the capacity of individuals to obtain, process and understand basic health information and services needed to make healthy decisions. Therefore, this study was designed to determine health literacy of adults Tuyserkan district. …”
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How Gender Influences the Motivation and Action Towards Climate Change: A Qualitative Study of Participants from a UK Construction Company by Fenella Ross, Campbell Middleton, Olivia Remes

“…Given the importance of including women in climate change decisions, it is important to assess construction employees’ knowledge and awareness regarding this key issue. …”
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Why Do Consumers Buy Organic? Exploring Motivations and Socio-Economic Patterns by Dominika Jakubowska, Małgorzata Grzywińska-Rąpca, Mariola Grzybowska-Brzezińska

“…Participants were selected through non-random, purposive sampling, selecting only consumers of organic food. …”
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Evaluation and Classification of Behavioral Biases According to Thinking Styles, Risky Investment Intention, and Subjective Financial Literacy by Selim Aren, Hatice Nayman Hamamcı

“…Behavioral finance, which combines the concepts and approaches of psychology with the theory of finance, evaluates individuals’ deviations from rational choices in their financial decisions with the concept of biases. In this context, the data were collected from 1188 subjects in Turkey through online surveys using a convenience sampling method between 14 May - 28 June 2020. …”
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