Sciences

Toxicokinetic-toxicodynamic (TKTD) modelling is an exciting field of ecotoxicology that aims to understand and predict toxic effects, rather than just describing them. A lot of work has been done in this field, especially over the last two decades. However, many open (and in some cases fundamental) questions still remain to be solved.

AI is changing the way we work, but its capabilities have limits that matter. Understanding What AI Cannot Do explores where AI falls short, which human skills remain valuable and how to build a career that can withstand technological change. Grounded in research and real-world examples, this book offers a clear-eyed guide to navigating an uncertain future.

Life and AI are made of different stuff, yet they face many of the same problems. This book sets their solutions side by side, from the first cells to today's language models, to understand both.

From our earliest genetic responses to the rising age of artificial intelligence, what does it truly mean to be well? The Blueprint of Life bridges complex science and the human experience, revealing that health is fundamentally about identity, dignity, and hope.

Quanto è grande davvero il sistema energetico che sostiene la nostra vita quotidiana? Dal petrolio alle rinnovabili, dalle reti all’accumulo, dall’idrogeno alla fusione, Grandi Numeri, Grandi Impatti – Volume 2: Energia usa i numeri per raccontare la scala, i vincoli e le trasformazioni del sistema energetico. Perché prima di discutere quale sistema energetico vogliamo costruire, occorre capire quello che abbiamo.

Nature has already run the experiments. We just need to copy the results. Before human engineers built sensors, evolution spent millions of years perfecting them.Sensory Codex – Nature: The Big Scientist decodes 500 extraordinary biological mechanisms that bridge the gap between biology and the technologies of tomorrow. Ready to look at life through a different lens?

Review the theory. Work through the examples. Solve the problems. Prepare for your examinations with confidence.Aerodynamics, Turbomachinery & Computational Fluid Dynamics is designed as a practical review and examination-preparation guide for engineering students. It brings together essential concepts, equations, methods, worked examples, solved problems, and numerical exercises to help students quickly revise and apply what they have learned.The book places particular emphasis on step-by-step worked examples and problem solving. Important formulas and principles are followed by applications showing how to approach typical engineering problems, perform calculations, and interpret the results.Use it for systematic revision throughout the semester or intensive preparation before examinations. The worked examples and problems are especially useful for developing speed, accuracy, and confidence in solving numerical and analytical questions.Ideal for students of aerospace engineering, mechanical engineering, aeronautical engineering, and related disciplines, preparing for university examinations, competitive examinations, and technical assessments.

We'll begin with the most basic question — what does it mean to "see" something? — and walk step by step through how we gather information from the universe. From photons falling into telescopes to the fingerprints of atoms in starlight, you'll learn how we extract meaning from distant messengers. This book doesn't assume you're a physicist. What it assumes is that you're curious, thoughtful, and willing to slow down and think things through. We emphasize conceptual understanding, plain language, and building your own reasoning from the ground up. You'll walk in the shoes of astronomers, wrestle with cosmic puzzles, and come away with a deep, working intuition for how astrophysics actually works. Whether you're preparing for more advanced coursework, teaching others, or simply hungry to understand the universe for yourself, this is your starting point. Note: this material is originally developed as a required resource for a college course. The series continues to AftRoU: Physics of Stars and AftRoU: Physics of Galaxies. Their book versions are going to be available as soon as they are ready. Hopefully around January 2027 timeframe.

Build a strong foundation in physics without getting lost in jargon or formulas. Atom Education: Physics 101 combines intuitive explanations, practical examples, and structured problem-solving to make essential physics concepts easier to understand.

Every news feed is full of AI buzzwords: Transformers, tokens, embeddings, context windows, hallucinations, objective functions. Yet most explanations are either dense academic textbooks or empty marketing fluff. ☕ Coffee Break AI is your practical guide to AI. Written in plain English with warm real-world analogies. It breaks down the core mechanisms of AI into 40 bite-sized chapters.

Es una antología básica para cualquier estudiante de secundaria y preparatoria

Septiembre de 2020. Australia Occidental. Mientras revisaban observaciones acumuladas durante meses, varios investigadores encontraron algo que no encajaba. La señal aparecía. Desaparecía. Y mucho tiempo después volvía a aparecer. No seguía el comportamiento esperado de los objetos conocidos. Tampoco parecía un error evidente. Cada nueva observación acercaba una posible explicación y, al mismo tiempo, generaba nuevas dudas. Durante años, el cielo había conservado aquel comportamiento sin revelar demasiado. Ahora comenzaba a contar una historia distinta. Una historia que obligaría a revisar algunas de las ideas más aceptadas sobre los objetos extremos del universo.

La señal apareció donde nadie esperaba encontrarla. No provenía de una galaxia distante ni de una región desconocida del universo. Parecía llegar desde la dirección de Próxima Centauri, una estrella situada apenas a poco más de cuatro años luz de la Tierra. Al principio fue solo una observación entre miles. Un registro más dentro de una enorme cantidad de datos recopilados por radiotelescopios. Sin embargo, algo en aquella frecuencia llamó la atención de quienes la revisaron. Los días siguientes estuvieron marcados por una pregunta incómoda. ¿Era simplemente una interferencia terrestre que todavía no había sido identificada? ¿O había algo más detrás de aquella detección? Mientras los análisis avanzaban, la señal comenzó a circular entre especialistas. Las conclusiones no llegaban con la velocidad que muchos esperaban. Cada nueva revisión parecía cerrar algunas posibilidades y abrir otras. Con el tiempo, la explicación más probable fue tomando forma. Sin embargo, el episodio dejó una huella difícil de ignorar. Porque la búsqueda de señales extraordinarias no consiste únicamente en encontrar respuestas. También consiste en reconocer aquellos momentos en los que la realidad parece desviarse, aunque sea por un instante, de lo que creemos comprender. 

When machines increasingly operate on both sides of the conversation, human intent can disappear between them. AI vs AI maps the Artificial Deadlock—and shows how individuals and organizations can preserve signal, judgment, and accountability inside increasingly automated systems.

What if Kant’s theory of knowledge were not merely a philosophical speculation, but an implicit description of the very architecture of the human brain?In this ambitious philosophical work, Marcel Chelba proposes a new epistemological paradigm: Stereoperspectival Epistemology — a theory of knowledge integrating Kantian transcendental philosophy, modern neuroscience, brain hemispheric asymmetry, cybernetics, and the epistemological crises of contemporary science.