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Roots and early routes of neuroendocrinology.
Cell Tissue Res
January 2025
Departamento de Anatomía e Histología Humana, Facultad de Medicina, Universidad de Salamanca, Salamanca, Spain.
Carl C. Speidel (1919) and Ernst Scharrer (1928) were privileged witnesses of the encounter between neurons and hormones, a biological phenomenon that had been occurring in nature during millions of years of evolution, as Berta Scharrer started to unfold since 1935 on. The story of neurosecretion is intimately associated to that of the hypothalamus, such a "marvellous region", as Wolfgang Bargmann (1975) called it.
View Article and Find Full Text PDFMachine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt.
Sci Rep
January 2025
Rashpetco Company, Cairo, Egypt.
This study presents a comprehensive workflow to detect low seismic amplitude gas fields in hydrocarbon exploration projects, focusing on the West Delta Deep Marine (WDDM) concession, offshore Egypt. The workflow integrates seismic spectral decomposition and machine learning algorithms to identify subtle anomalies, including low seismic amplitude gas sand and background amplitude water sand. Spectral decomposition helps delineate the fairway boundaries and structural features, while Amplitude Versus Offset (AVO) analysis is used to validate gas sand anomalies.
View Article and Find Full Text PDFAchievement emotions in kindergarten: the association of solution accuracy with discrete joy, sadness, and surprise.
Front Psychol
January 2025
School of Education and Human Development, Center for the Advanced Study of Teaching and Learning, University of Virginia, Charlottesville, VA, United States.
Children experience a variety of emotions in achievement settings. Yet, mathematics-related emotions other than anxiety are understudied, especially for young children entering primary school. The current study reports the prevalence and intensity of six basic, discrete achievement emotions (joy/happiness, sadness, surprise, anger, fear, and disgust) expressed on the faces of 15 kindergarten-aged children as they solved increasingly complex arithmetic story problems in a 3-month teaching experiment.
View Article and Find Full Text PDFEmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network science.
Behav Res Methods
January 2025
CogNosco Lab, Department of Psychology and Cognitive Sciences, University of Trento, Trento, Italy.
We introduce EmoAtlas, a computational library/framework extracting emotions and syntactic/semantic word associations from texts. EmoAtlas combines interpretable artificial intelligence (AI) for syntactic parsing in 18 languages and psychologically validated lexicons for detecting the eight emotions in Plutchik's theory. We show that EmoAtlas can match or surpass transformer-based natural language processing techniques, BERT or large language models like ChatGPT 3.
View Article and Find Full Text PDFThis study builds upon previous work suggesting food may increase concerns about climate change, even across political ideologies. Previous work examined whether reading about climate impacts on food increased concern about climate change, compared to reading about climate impacts on weather. The current paper goes beyond reading about climate impacts, to explore the potential for food experiences, such as tasting novel ice cream, to increase people's concerns about climate change.
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