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Mass Spectrometry: Isotope Effect01:13

Mass Spectrometry: Isotope Effect

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Most elements exist in nature as a mixture of isotopes. The isotopes differ in weight due to their respective number of neutrons. The molecular weight of a molecule is different depending on the specific isotope of its elements involved. As a result, the mass spectrum of the molecule exhibits peaks from the same fragment at multiple positions. The positions of these mass signals depend on the mass differences between isotopes. Furthermore, the intensity of these signals is dependent on the...
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Isotopes and Radioisotopes01:28

Isotopes and Radioisotopes

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In the early 1900s, English chemist Frederick Soddy realized that an element could have atoms with different masses that were chemically indistinguishable. These different types are called isotopes — atoms of the same element that differ in mass. Isotopes differ in mass because they have different numbers of neutrons but are chemically identical because they have the same number of protons. Soddy was awarded the Nobel Prize in Chemistry in 1921 for this discovery.
An isotope containing...
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Isotopes01:12

Isotopes

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Elements have a set number of protons that determines their atomic number (Z). For example, all atoms with eight protons are oxygen; however, the number of neutrons can vary for atoms of the same element. The sum of the number of protons and the number of neutrons is the mass number (A). Atoms with the same atomic number but different mass numbers are called isotopes. Elements can have multiple isotopes, for example, carbon-12, carbon-13, and carbon-14.
An element's atomic mass, or weight,...
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Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

1.5K
Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
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Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.5K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Atomic Emission Spectroscopy: Lab01:29

Atomic Emission Spectroscopy: Lab

684
AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
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Video Experimental Relacionado

Updated: Feb 23, 2026

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
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Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

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Auditar datos de capacitación no autorizados de contenido generado por IA utilizando isótopos de información.

Tao Qi1,2, Jinhua Yin2, Dongqi Cai3

  • 1State Key Laboratory of Networking and Switching Technology, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China.

Nature communications
|February 21, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Los investigadores desarrollaron "isótopos de información" para rastrear los datos de entrenamiento de IA en modelos de caja negra. Este método detecta con precisión el uso de datos, protegiendo la propiedad intelectual y la privacidad en los sistemas de inteligencia artificial.

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Área de la Ciencia:

  • La inteligencia artificial es inteligencia artificial.
  • Ciencia de datos Ciencia de datos.
  • Ciencias de la computación Ciencias de la computación

Sus antecedentes:

  • El rápido crecimiento de la IA se basa en vastos datos humanos, lo que plantea preocupaciones sobre la propiedad intelectual y las violaciones de la privacidad.
  • Auditar el uso indebido de la IA es difícil debido a los sistemas de caja negra que ocultan los procesos de entrenamiento e inferencia.

Objetivo del estudio:

  • Introducir un nuevo método para rastrear los datos de entrenamiento dentro de los sistemas de IA opacos.
  • Proporcionar un marco para detectar y evidenciar la utilización de datos en modelos de IA.

Principales métodos:

  • Inspirado en el rastreo de isótopos químicos, el estudio propone "isótopos de información" para marcar y rastrear datos.
  • Un marco marca selectivamente los elementos de datos objetivo y detecta su propagación en las salidas del modelo de IA.
  • El método permite la auditoría de caja negra del uso de datos.

Principales resultados:

  • Los experimentos con trece modelos de IA en seis conjuntos de datos muestran una alta precisión (hasta el 99%) en distinguir la capacitación de los datos de no capacitación.
  • Los resultados demuestran una fuerte significación estadística (p < 0,01) con aproximadamente 4.000 palabras de evidencia.
  • El enfoque proporciona evidencia concreta de la utilización de los datos.

Conclusiones:

  • El marco de seguimiento de isótopos de información ofrece una solución práctica para proteger los derechos de datos en IA.
  • Una herramienta de código abierto está disponible para apoyar la implementación de este método de rastreo de datos.
  • Este trabajo aborda desafíos críticos en la transparencia de la IA y la gobernanza de los datos.