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My 31 CFR 515 monitor updated smoothly, and I added a second one for the Sept. 30-born 31 CFR 516

limonta — Sat, 03 Oct 2026 03:53:15 GMT

A live test, at last. There is no better trial for the tools I have built over the past months than a real change in the regulations I follow as a researcher of U.S. policy toward Cuba.

This week OFAC made substantive amendments to the Cuban Assets Control Regulations (CACR), the rules in force since 1963 through which it administers the core of the comprehensive sanctions on the island (Federal Register, Sept. 30, 2026). I wanted to confirm that my update mechanism could handle that change, and it did. The monitoring service, a Node server, noticed that the Federal Register had published the amendments before eCFR reflected them, and it kept that gap visible in the interface. Then eCFR activated the changes at around 6:30 pm on October 1. The server downloaded the modified sections from the eCFR API on its own, cached them, and added them to my local archive.

The part that made it interesting: a new Part

The same day, OFAC created the Cuba Sanctions Regulations (CSR), now codified at 31 CFR Part 516 (Federal Register notice). They implement Executive Order 14404, which OFAC reproduces as an appendix to the new part. The regulations are published in abbreviated form, are separate from Part 515, and OFAC says it intends to supplement them later.

This is a different problem from amending a section. On September 30, Part 516 did not exist in eCFR, and it will not appear in an annual CFR edition until next year. I could not simply reuse my Part 515 logic of calling the eCFR API, because there was nothing to call yet. So the tracker needed two phases behind one interface.

Phase 1: read the Federal Register. The server downloads the official XML of the publication (91 FR 61748, document 2026-19977) and converts every section into the same DIV8 structure that eCFR uses. The frontend parses it exactly as it parses an eCFR section, so the page does not know the difference. One detail cost me some attention: in the XML, Appendix A (the Executive Order) sits inside the last section element, § 516.513. If you do not cut it out, the order shows up as part of that section.

// The appendix header arrives inside the last SECTION (§ 516.513):
// everything after it belongs to the appendix, not to the section.
const cut = kids.findIndex(k => k.type === 'tag' && k.name.toUpperCase() === 'HD'
    && /^Appendix\b/i.test(tidyText($(k).text())));
const secNodes = cut >= 0 ? kids.slice(0, cut) : kids;

Phase 2: hand over to eCFR. While the server is in Phase 1, it asks the eCFR versions API every 30 minutes whether Part 516 has any sections. If the answer is empty, it keeps serving the Federal Register copy. When sections appear, it downloads the whole part in a single call, replaces the Federal Register snapshots with eCFR's, rebuilds the index, and switches its source flag. After that, it checks every four hours for later amendments. The original XML stays on disk as an untouched record of the publication.

const resp = await axios.get(
    `${ECFR_API_BASE}/versions/title-31.json?subtitle=B&chapter=V&part=${PART}`,
    { ...FR_UA_HEADERS, timeout: 30000, validateStatus: s => s < 500 });
cv = (resp.status === 200 && resp.data && Array.isArray(resp.data.content_versions))
    ? resp.data.content_versions : [];
// ... keep only entries whose part is '516' ...
if (ids.length === 0) {
    state.ecfr.hasPart = false;
    saveState();
    return false;   // not in eCFR yet: keep serving the Federal Register copy
}
// ... otherwise download the full part at its latest version date
// and set state.source = 'ecfr'

const ms = state.source === 'ecfr' ? SETTLED_CHECK_MS : PENDING_CHECK_MS; // 4 h : 30 min

The page follows the server. A small polling loop compares a key made of the current source, the version hash, and the number of pending documents. When the key changes, the open view reloads itself, index and section included, so I do not have to refresh anything.

const key = `${st.source}|${st.versionKey || ''}|${(st.pendingDocs || []).length}`;
const changed = _status516Key !== null && key !== _status516Key;

The interface now has one tab for Part 515 and one for Part 516. The 516 tab shows where the text currently comes from (Federal Register or eCFR), links to the official PDF, and lists any later Federal Register documents that eCFR has not consolidated yet. When eCFR took over, the source label changed with it.

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Área Entre Curvas Texto: Problemas y Ejercicios De Análisis Matemático B. Demidovich Páginas 165 y 166.(Entrega 4/4)

gary.nunez — Sat, 03 Oct 2026 00:34:30 GMT

¡Hola, comunidad de Hive!
Con esta cuarta entrega, cerramos un ciclo de estudio profundo basado en el clásico libro de B. Demidovich.
A lo largo de estas cuatro publicaciones, hemos construido una guía visual y analítica con problemas resueltos paso a paso con sus respectivas gráficas.
Con esta última entrega, ¡completamos un total de 22 ejercicios resueltos y explicados con sus respectivas gráficas! Ha sido un viaje increíble combinando la geometría y el álgebra paso a paso para demostrar que las matemáticas también se entienden a través de los ojos..."
¡Prepara tu cuaderno y empecemos!

![lagrida_latex_editor (1).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUsgz92xAUfi9EcPZNSKaVDEYASX3Yv3jtUwf5nY3g2oo5JKdDdb9i8ckY1rzvN.png)![lagrida_latex_editor (2).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23tGPdQbxjhB9aWzbtQWFnVU7bEqzYYaDPFSk9GH41zFkb5uSjF1r8Nod1JFzqqXKXP4F.png)![image.png](https://files.peakd.com/file/peakd-hive/gary.nunez/23yU4QcNr5dzTLhMfbMUcfd86ECjP6vRRkCWEDq3D4DHx7q6HKVrWdBw7iqRDoc6he7Qo.png)![lagrida_latex_editor (3).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUNzHCUaoqVQ7xJsMWUUjSApjCzgkGyzcvzGpiGuHbnAkuDqrzUNbY4fwHDtRbQ.png)![lagrida_latex_editor (4).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swa8vJc77he4UkBBD39C6UxGTRhGY1vcpvxY6GadsCiBtefqAuJAMH6NZ9rP3XPYsCt.png)![image.png](https://files.peakd.com/file/peakd-hive/gary.nunez/23zbo3DRSSdk21ibMJHYKYoBguweeUeb1VcEdSnjWag4b3tJKYhSobWwUMpigtYhB1ZPA.png)![lagrida_latex_editor (5).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUNzHCUaoqVQ7xJsMWUUjSApjCzgkGyzcvzGpiGuHbnAkuDqrzUNbY4fwHDtRbQ.png)![lagrida_latex_editor (6).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUbuQ2ev2LuzPUP4FMfDavyty5anmwLbyGsPEpcFyQFdK4WQpe7fk6doMRXhzA5.png)![lagrida_latex_editor (7).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23t6zNK6QrgkY4Zj4ccvcpxa2b1C13m7dvj8Y9eV8sHHvCArCuF8ye7Uv4GQdeqhbf5Kr.png)![image.png](https://files.peakd.com/file/peakd-hive/gary.nunez/2424GvA5BSwqde1ceaDZaytmqAfJpNtXM92XXMYztZoyEDBsT3w8W2575Rp4otR3btJJZ.png)![lagrida_latex_editor (8).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUNzHCUaoqVQ7xJsMWUUjSApjCzgkGyzcvzGpiGuHbnAkuDqrzUNbY4fwHDtRbQ.png)![lagrida_latex_editor (9).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUoPH9TdMyA1P7JPgfSkDc24CgHxfFdzp8cruL4W6oKCkmoQPjBiVfoczCa5G9h.png)![lagrida_latex_editor (10).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUNzHCUaoqVQ7xJsMWUUjSApjCzgkGyzcvzGpiGuHbnAkuJg4mR3awKncgDG73s.png)![lagrida_latex_editor (11).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23tGPXYkbP8tz69eQzRuRB8jhnfZhUmr4KsFVhn3iP28VkiDzK3KnmwAhT1e5ttGpZsu5.png)![image.png](https://files.peakd.com/file/peakd-hive/gary.nunez/23tSzLNbkVkP897acGkWGWrx5N9ESfbgeN1EDmQAFDK5KFop1vy6BaKWE6p9vET1EjxYJ.png)![lagrida_latex_editor (12).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUNzHCUaoqVQ7xJsMWUUjSApjCzgkGyzcvzGpiGuHbnAkuDqrzUNbY4fwHDtRbQ.png)![lagrida_latex_editor (13).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUrFkVw7UBfhYf3ijdHV3cAYsBPgssfKgi8LdqFqtsJ1cGxraSx3hCD8sYUdc83.png)![lagrida_latex_editor (15).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swbhwWu59U9YH7NuzXd1LjGRv1wtnKEdBoHXU9zKADZbCNcGvysLijDTELSs5sZYPgn.png)![image.png](https://files.peakd.com/file/peakd-hive/gary.nunez/243g7bkAr6mxWXHieWSaXprBJTti8jFA8DfpCF4U5gQWmrSPrjjN3frqyM38Jt1j8yfYR.png)![lagrida_latex_editor (16).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUNzHCUaoqVQ7xJsMWUUjSApjCzgkGyzcvzGpiGuHbnAkuDqrzUNbY4fwHDtRbQ.png)![lagrida_latex_editor (17).png](https://files.peakd.com/file/peakd-hive/gary.nunez/Enym3eVWQuWon6ix4Pp6TAqPni7p4pjDe7nHhka5BdcFYYrdUdP1Ra2ChneVB3vk5kT.png)![lagrida_latex_editor (18).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUNzHCUaoqVQ7xJsMWUUjSApjCzgkGyzcvzGpiGuHbnAkuDqtEL6xWgUXodY2Ke.png)![lagrida_latex_editor (19).png](https://files.peakd.com/file/peakd-hive/gary.nunez/Enyn9zCKAjWWFLbioeBtfkEv9hznqQzdAsRRkZKfkHZ31wzVE9uWrd6KN9CAhnpS5ZU.png)![image.png](https://files.peakd.com/file/peakd-hive/gary.nunez/243MN4AKMZjHcUjrTzxttVd1cdv9GRXdgAgyBpB6htRKyxf1SbxD8xp9ZHPkgom4AP3ES.png)![lagrida_latex_editor (20).png](https://files.peakd.com/file/peakd-hive/gary.nunez/23swXQgUNzHCUaoqVQ7xJsMWUUjSApjCzgkGyzcvzGpiGuHbnAkuDqrzUNbY4fwHDtRbQ.png)

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Practicando ejercicios de c++ para la finales

dobro2020 — Sat, 03 Oct 2026 00:07:27 GMT

Me puse a practicar ejercicios de nuevo con c++ para prepararme y rendir los finales de la universidad en un par de meses debido a que estuve centrado en realizar otras cosas se me habían olvidado muchísimas cosas.

I started practicing C++ exercises again to prepare for my university finals in a couple of months; I had forgotten a great deal because I had been focused on other things.

Este lenguaje es bastante bueno y requiere que uno practique demasiado para ir memorizando cómo utilizarlo correctamente porque si bien tiene flexibilidad en algunas cosas cuando ocurre algún error ocurre por una mala estructuración en el código.

This language is quite good, though it requires a great deal of practice to memorize how to use it correctly; while it offers flexibility in some areas, errors usually stem from poor code structure.

Este ejercicio que voy a mostrar es relativamente sencillo porque solo hice la mitad en el cual solo me pide que ingrese cuántos datos voy a cargar en el sistema valido si es un número y luego se permite encargar los datos con su respectivo tipo faltaría agregar validaciones para comprender mejor si ocurre un error o no.

The exercise I am about to show is relatively simple because I only completed half of it; it asks for the number of data entries to be loaded into the system, validates that the input is a number, and then allows the data to be entered according to the appropriate type. Additional validation would be needed to better handle potential errors.

The first URKL world league for humanoid robot fighting.

rebe.torres12 — Fri, 02 Oct 2026 16:37:12 GMT

The first URKL world league for humanoid robot fighting.

![image.png](https://cdn.steemitimages.com/DQmdbuFVzFCtNz1osQA5q7LJ4fL8uzh7CKUU7wgmBGv42Yi/image.png)
https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

It was a five-round bout: on one side, "White Eagle"; on the other, "Matador." Two T-800 humanoids—sporting their original faces—faced off in an arena in China. One humanoid kicked its opponent in the head, tearing it clean off; the head fell to the floor in front of the audience, yet the fight did not end. Even without its head, the machine remained standing, traded blows, and finished the match.

The event took place on July 16, 2026, in Shenzhen, China, during the inaugural match of a new humanoid robot combat league. White Eagle, clad in white armor, faced Matador, who wore dark armor; both were versions of the T-800 developed by the Chinese company EngineAI. The most curious detail is that Matador—the very robot that lost its head—ended up winning the contest three rounds to two.

The clash marked the debut of the URKL (Global Humanoid Robot Free Combat League), a league created to transform humanoid combat into a technological competition. According to the organizers, over 200 teams registered, with 32 advancing through the qualifying stages. Participants hailed from various countries; while all used the same hardware platform, they were free to work on the software, movement settings, and permitted modifications to try to gain an edge in the arena.

https://www.youtube.com/watch?v=u8_Q7LNBmo4
https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

This means the contest hinges on more than just motor power; the robots must execute strikes, defend themselves, maintain their balance after taking a hit, and get back up if they fall. A key feature of these machines' architecture became apparent during one such bout: when "White Eagle" tore off "Matador's" head, the opponent lost the sensors located there, yet the essential control, movement, and balance systems housed in the torso kept functioning, allowing it to stay in the fight.

For engineers, such situations offer a chance to observe how mechanical and control systems behave under impact and unexpected movement. After all, a humanoid losing its balance during a fight faces a physical challenge similar to a machine stumbling while carrying an object: it must detect the shift in its body's position and react before falling. While a combat arena does not replicate the conditions of a home, a store, or a hospital, it does allow for testing specific capabilities and handling scenarios that demand high physical performance.

There is also a significant difference compared to the match discussed in the previous post: the fight between Frankie LaPenna and the T-800 involved a human operator controlling the robots' movements. In contrast, the Shenzhen competition brings together teams that develop and fine-tune various control systems for the same mechanical platform. This does not mean that all participants are fully autonomous, nor that the matches demonstrate an artificial intelligence capable of making every decision independently—yet this is precisely the direction in which other Chinese companies are working.

https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

Sorry for my Ingles, it's not my main language. The images were taken from the sources used or were created with artificial intelligence

Posted Using INLEO

The union of biology and machine.

rebe.torres12 — Fri, 02 Oct 2026 15:41:27 GMT

The union of biology and machine.

![image.png](https://cdn.steemitimages.com/DQmSd9RaiZhq4Jc6dgWNX52fPSY51fXpwxnY2DLocW8h419/image.png)
https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

A group of researchers attempted to connect brain tissue to computers in an experiment dubbed "Brainoware." At the heart of the system lay a brain organoid derived from human cells; however, instead of being transplanted into an animal, it was placed onto an electrode array. Through these electrodes, a computer could send electrical stimuli to the tissue and record how its neurons responded.

On one side was conventional electronics; on the other, a network of living human neurons. Yet, simply exchanging signals was not the primary goal; the researchers sought to discover something far more intriguing: could this tissue participate in computation? To test this, they used something unexpected—human voices. Recordings of people pronouncing Japanese sounds were converted into electrical stimulation patterns and sent to the organoid. Each input triggered a response in the neural network, which the computer recorded and used to attempt to identify the speaker.

Performance was initially limited, but during training, the organoid's responses and functional connectivity evolved, improving its performance in the speech recognition task. The researchers also used the system to predict a nonlinear dynamic equation. This does not imply that a tiny brain inside the machine was learning Japanese—there is no evidence the organoid understood the meaning of those sounds. Rather, the researchers were exploring something far more fundamental—and perhaps for that very reason, highly useful: plasticity.

![image.png](https://cdn.steemitimages.com/DQme73bxYpqt9Ae8kapHHMZyDUsuCYimiaMma3eooELxfqh/image.png)
https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

Biological neural networks do not always respond in the same way; with repeated stimuli, their connections and activity patterns can change. Brainoware harnessed these dynamics as part of a system known as "Reservoir Computing." Instead of a conventional processor performing all the necessary transformations on its own, some of them occur within the responses of the living neural network itself. This creates a rather curious reversal: for decades, we tried to make machines imitate the brain, creating artificial neural networks, neuromorphic chips, and algorithms inspired by how neurons function.

Now, some researchers are taking the opposite path; rather than trying to build neurons using silicon, they are incorporating real neurons into the computing process. This line of research has even been given a name: Organoid Intelligence. It remains an experimental field—an organoid is incomparably simpler than a human brain; it lacks a body and our sensory systems, and there is no evidence that these systems possess a human mind or consciousness—yet Brainoware demonstrated an important concept.

A machine does not need to be built solely from electronic components to perform computations; part of it can be biological. This is precisely where the story takes another turn, because neurons are complex—they must remain alive and depend on extremely specific conditions. However, it may not be necessary to build something resembling a brain to harness biology for computation. There is a much simpler molecule that already performs another essential function within virtually all our cells—storing information in extraordinary quantities: DNA. And that represents yet another avenue of research and inquiry.

https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

Sorry for my Ingles, it's not my main language. The images were taken from the sources used or were created with artificial intelligence

Posted Using INLEO

[ENG/ESP] Science as a compass and engine of sustainable development

tonyes — Fri, 02 Oct 2026 09:00:03 GMT

When the international community adopted the 2030 Agenda and its 17 Sustainable Development Goals (SDGs) in 2015, it charted an ambitious roadmap to eradicate poverty, protect the planet, and ensure prosperity. However, a map without tools is merely a drawing. Science, in its broadest sense, provides the indispensable instruments needed to navigate that path. Far from being an academic luxury, scientific knowledge is today a prerequisite for achieving the goals we have set for ourselves as a species.

source

The role of science in the SDGs extends beyond technological innovation. Its primary contribution is epistemological: it enables us to measure, monitor, and understand reality. Without reliable data on carbon emissions, deforestation rates, multidimensional poverty indices, or antimicrobial resistance, governments would be navigating blindly. Science provides the observation systems—such as satellites, sensors, and statistical surveys—that transform complex problems into actionable indicators. Without this empirical foundation, the SDGs would be nothing more than rhetorical statements with no possibility of accountability.

Secondly, science acts as a generator of solutions. SDG 2 (Zero Hunger) relies on drought-resistant crop varieties and experimentally validated agroecological practices. SDG 3 (health and well-being) relies on vaccines, early diagnostics, and epidemiological models. SDG 7 (affordable and clean energy) requires more efficient solar panels, storage batteries, and smart grids. SDG 13 (climate action) demands carbon capture, renewable energy, and evidence-based adaptation. In each case, basic and applied research drives progress.

However, science must also be self-critical. Not all innovation is sustainable by definition. History shows that technological advances can create new problems—such as pollution, inequality, or dependency—if developed without a systemic perspective. Therefore, the role of science encompasses impact assessment, the precautionary principle, and the pursuit of solutions that are not only efficient but also just and equitable. The SDGs are integrated in nature: social justice cannot be achieved without environmental sustainability, nor vice versa. Science must operate according to that same logic of interconnectedness.

source

A third essential role is the democratization of knowledge. For science to serve the SDGs, it cannot remain confined to elite laboratories. It must translate into public policy, civic education, and technology accessible to rural or vulnerable communities. Open science, technology transfer, and international cooperation are key mechanisms. Without equitable access to knowledge, the SDGs would merely reproduce the very gaps they aim to close. Finally, I must say that science offers a fundamental virtue: the humility to learn and correct course. The SDGs are dynamic goals in a changing world. The COVID-19 pandemic demonstrated that science can generate rapid responses, but also that misinformation and inequality hinder their implementation. The lesson is clear: we need more science—better communicated and more integrated into decision-making.

source

A final comment

The role of science in achieving the SDGs is threefold: it is a beacon that illuminates problems, an engine that generates solutions, and a bridge connecting knowledge with collective action. However, science does not operate in a vacuum.

It requires political will, sustained funding, ethics, and social participation. The SDGs will not be achieved through laboratories alone, but neither can they be achieved without them. Ultimately, science is the compass that guides us and the fuel that drives the transition toward a more just and habitable future. To ignore it would be to abandon the very possibility of truly sustainable development.

Note: I used the DeepL translator.

ESPAÑOL

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Today in Space History - Names New to Orbit

kiwithinker — Fri, 02 Oct 2026 05:21:57 GMT

Today in Space History - Names New to Orbit 🚀
Stardate 1602.7559 (OCTOBER 2, 1991)

On the morning of 2 October 1991 a Soyuz-U2 left Baikonur with Alexander Volkov, Franz Viehböck, and Toktar Aubakirov. Viehböck was the first Austrian to fly in space. Aubakirov was the first Kazakh. It was also the last crewed launch of the Soviet Union, a state that would not see the year out.

They docked with Mir two days later. Viehböck spent the week on fifteen experiments in medicine, physics, and technology, then came home on Soyuz TM-12. Aubakirov, a test pilot called to the flight on short notice, carried the first Kazakh research program into orbit above the same steppe that had sent every Soviet crew aloft. The politics moved on. The morning of 2 October did not.

Irrigation System Project for Tobacco Cultivation. Hydraulic Assembly. Pumping Station / Proyecto Sistema de Riego por Aspersión para el cultivo del tabaco. Conjunto Hidráulico. Estación de bombeo

multiingeniero — Thu, 01 Oct 2026 17:21:24 GMT

Buenas tardes para esta gran comunidad de @stemsocial y el resto de Hive.

Good afternoon to this great @stemsocial community and the rest of Hive.

Continuamos con el proyecto del sistema de riego para el cultivo del tabaco. Recordar que estamos en la estación de bombeo, que es uno de los objetos de obra. Con anterioridad, ya habíamos visto la obra de toma. En este post, veremos en sí el diseño hidráulico, el plano de montaje tecnológico y aspectos relacionados con la operación, algo de relevancia en estaciones de bombeo.

We continue with the irrigation system project for tobacco cultivation. Let us remember that we are at the pumping station, which is one of the project components. Previously, we had already looked at the intake structure. In this post, we will look at the hydraulic design itself, the technological assembly drawing, and aspects related to operation, which are highly relevant in pumping stations.

DISEÑO

-El conjunto estación de bombeo y caja de succión fueron igualmente diseñados según los requisitos de la NC 53-130/80. (A solicitud de la inversión, la estación se conformará por tres equipos).
La caja de succión será de hormigón armado con las siguientes dimensiones:
*Ancho= 1.5 m
*Largo=6.95 m
*Profundidad = 3.2 m

DESIGN

-The pumping station and suction box assembly were also designed according to the requirements of NC 53-130/80. (At the request of the investor, the station will consist of three units).
The suction box will be made of reinforced concrete with the following dimensions:
*Width= 1.5 m
*Length=6.95 m
*Depth = 3.2 m

-La estación de bombeo contará con tres bombas centrífugas horizontales con iguales características: Q=55 L/s, H=55 m y P=39.5 kW conectadas en paralelo para dar un caudal total en el punto de operación de 165 L/s. Este caudal responde al sistema de campo del sistema de riego. Cada electrobomba cuenta con tubería de succión e impulsión independiente hasta el punto de unión (Manifold)

The pumping station will have three horizontal centrifugal pumps with the same characteristics: Q=55 L/s, H=55 m and P=39.5 kW, connected in parallel to provide a total flow rate of 165 L/s at the operating point. This flow rate corresponds to the field system of the irrigation system. Each electric pump has an independent suction and discharge pipe up to the connection point (Manifold)

Succión:

Material: acero soldable
Conformación: Válvula de Check de pie con colador, niples, codo, válvula de compuerta y reducido
Q=55 L/s
Ø = 250 mm
V=1.12 m/s

Suction:

Material: weldable steel
Configuration: Foot check valve with strainer, nipples, elbow, gate valve, and reducer
Q=55 L/s
Ø = 250 mm
V=1.12 m/s

Impulsión:

Conformación: Reducido, niples, codos, válvula de compuerta, válvula de Check, manómetro, purgador, metrocontador
Q=55L/s
Ø = 250 mm
V=1.75 m/s

Discharge:

Configuration: Reducer, nipples, elbows, gate valve, check valve, pressure gauge, air release valve, flow meter
Q=55L/s
Ø = 250 mm
V=1.75 m/s

Las tuberías de succión de cada equipo de bombeo tributan a un Manifold de Acero Soldable de Ø 400 mm, el que se conecta a la conductora principal mediante un tramo de tubería de PEAD también de Ø 400 mm. La conexión entre los conductos de diferentes materiales se hará con bridas y bridas con portabridas para el caso del PEAD.

The suction pipes of each pumping unit connect to a Ø 400 mm weldable steel Manifold, which is connected to the main pipeline by means of a section of Ø 400 mm HDPE pipe. The connection between pipes made of different materials will be made using flanges, and flanges with flange adapters in the case of HDPE.

Teniendo en cuenta la posibilidad de cambios de consumo de agua en el sistema, propio de la explotación, se pueden generar cambios bruscos que puedan elevar en poco tiempo la carga de bombeo por la disminución del consumo. Para amortiguar este efecto, se colocó a la salida de la estación de bombeo una válvula de alivio programada.

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The first fight between a human and a T-800 robot in the United States.

rebe.torres12 — Thu, 01 Oct 2026 16:57:45 GMT

The first fight between a human and a T-800 robot in the United States.

https://i.ecency.com/DQmdRRz2vmb8aQjw5W8DJWT4FWLXzAU4iTL16nXQdS2p38L/image.png
https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

The robot advances, delivers a kick, and knocks the man to the ground; the scene took place inside an octagon in front of cameras in the United States, and the one landing the blow was a Chinese humanoid—standing nearly 1.80 meters tall—sporting the "skin" of the *Terminator* T-800. The man moves forward, attempts to land a few punches, and closes the distance to the machine, but the robot responds—first with defensive moves, then with a sequence of strikes and kicks—until one kick connects with the human, sending him crashing to the cage floor.

Frankie LaPenna, a content creator known for his comedy videos and physical challenges, decided to face off against a T-800 humanoid developed by the Chinese company EngineAI and utilized by ReK—an organization aiming to transform robot combat into a new form of entertainment. The company billed the event as the first-ever cage match between a human and a humanoid robot.

The video of the fight lasts only a few minutes and shows just a portion of the encounter; consequently, while the kick and the fall are clearly visible, the footage does not allow for an independent assessment of the fight's full dynamics or the actual force involved. However, what makes this story particularly interesting is not merely the outcome shown in the video, but discovering who was actually controlling the robot. Despite appearing to be a machine capable of taking on a human, the T-800 was not deciding when to attack on its own; a person was controlling its movements remotely.

https://www.youtube.com/watch?v=4rg2sB6ELtk
https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

The operator used virtual reality equipment to control the humanoid, while integrated systems helped maintain its balance and posture; in other words, the confrontation was not exactly between a human's intelligence and a robot's artificial intelligence. It was one human facing another, but one of them was using a mechanical body. Although brief, the video demonstrates that humanoids already possess sufficient physical capabilities to translate human commands into complex movements within a combat environment.

There is a vast difference between having a robot execute a kick during a demonstration and having it maintain its balance, move tens of kilograms of mechanical structure, and continue responding while another person attempts to strike it; every movement requires coordination across various joints. The system must constantly adjust body position, distribute weight, and compensate for shifts caused by its own movements. When a machine with these characteristics loses its balance, simply stopping a motor is not enough—it must contend with the dynamics of the entire body.

In the case of the T-800, this was happening while the operator was attempting to direct the blows; it is precisely that combination of strength, mobility, and control that is beginning to transform humanoids into machines capable of performing increasingly complex physical tasks. However, the fight also revealed a significant limitation: the decision to attack originated with a human—it was the operator who chose the movements and determined when to execute them.

The challenge of transforming a demonstration like this into a truly autonomous system goes far beyond simply removing the remote control. The machine would need to interpret its environment, identify unexpected movements, anticipate changes, and select its own responses—all while maintaining its balance and controlling a body capable of exerting considerable force.

https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

Sorry for my Ingles, it's not my main language. The images were taken from the sources used or were created with artificial intelligence

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Hive Needs YOU... to be a better writer

mobbs — Sat, 22 Apr 2023 14:28:48 GMT

![LOGOchosenOutlined-01.png](https://files.peakd.com/file/peakd-hive/mobbs/EogG2V24Rk1tGwpzdgcudFVeigFB6BYf6544YHmxWtLQs8khxtVN5SnsVC5LKcdP9Ga.png)

A pet peeve

Ahh, STEMsocial, an ancient curation project on Hive since before the dawn of time, in which I have been a part since, what, 2017? or something ridiculous like that. It's been chugging along as it usually does, supporting those who wish to create content about STEM subjects, while also being open to similar things such as economics, architecture, whatever.

We have been... cruising so far, consistently supporting our authors and helping a lot of regions who truly can benefit from reaping real rewards for the work they have dedicated their lives to, perhaps in countries which simply cannot pay them enough to put food on the table otherwise.

This is great and I always want to support this.

But.

It has been a long time frustration of mine that a lot of the content being written is... well, unnecessary.

Should a blog be necessary in order to get curation? Of course not. But that's when we're talking about a blog. What people write in STEMSocial is not so much a blog, but a wiki article. And I think we all agree this is simply not required nor is it desired reading. Much of the content writers are, for example, writing about a medical condition in this format:

Hello everyone!!
Intro: what is it?
Causes
Symptoms
Treatment
Conclusion
References

...

![image.png](https://files.peakd.com/file/peakd-hive/mobbs/23ydCAE9UYJAi9UsDAMtoDo4SnNKn4ScD8s9jryX5r7RS2LaNby2FGCikrsGFxEYEDsni.png)

We are not an academic journal, a research publication or anything but a blog, and I have to remind myself and others that our goal is simply to bring STEM subjects into the light with a more personal touch, encouraging professional academics to appeal to the masses, and bring scientific literacy forward.

This is not going to be accomplished by making your own wiki or WebMD articles, when those things already exist. However, we also don't want to pander to the clickbait BS, where only the craziest discoveries are heard on LADBible or whatever. A fine balance where all science is represented, is key.

So here is my own hypothetical blog giving a little bit of wisdom on what I think will create a much richer outcome, a more enjoyable writing experience, a better environment for academics, nerds, or just curious people to learn, share, and bring people into. Better yet, perhaps, more enthusiastic curation will soon follow.

I will be sharing this post in the comments of various posts which I think are guilty of these issues.

To be clear though, these views are mine, not an official statement from STEMsocial.

1: Get rid of the Wiki and WebMD mindset

Like I said, nobody realistically cares about a re-worded wiki page, and nobody is 'Hiving' their symptoms when they feel a lump on their neck.

Your best bet is to get rid of that mindset entirely and remember: it's a blog!

2: Figure out who you are as a writer

https://files.peakd.com/file/peakd-hive/mobbs/EoEpcoaHo1QvotbAnQUDtkn61APKtdx7FuUSV195MsiKVQVP99FFDRywN7rMrChA8KX.png

Like any art form, a blog should have character and personality. When I see art from Picasso, I know it's Picasso. Hell, even at a design convention I went to recently, each artist's stall had very distinct and unique style that they clearly spent years working on. I recognise the guitar tone or grizzly voice in a rock band, and an author of non-fiction is famous for their style and original concepts, too.

Blogs are no different. You need to figure out what your writing style actually is, and although STEMsocial is not an art community so we don't require Bukowski-esque poetry to explain an inflamed gallbladder, we do need to feel like we are connecting with the person doing the writing. Even news journalists writing opinion articles have their own sense of humour, sarcasm or writing style.

This is really important. People don't follow content, they follow the people behind the content.

If it was just content, people would consume it and move on to other content, creator be damned. In this sense, you are losing the battle against AI because you have nothing to offer that ChatGPT doesn't offer already, likely to a higher level of quality and greater speed.

You are a human - take advantage of that.

3: Discover all possible roads, and choose the most fascinating

Let's go back to that basic, dull formula above, but make a few changes. We will approach this hypothetical blog with the subject of tape worms, because why not, they're cute as AI is more than happy to demonstrate:

![image.png](https://files.peakd.com/file/peakd-hive/mobbs/EoK5qfguD9xZcd5KLsX3baFqY8QEkW7cAGg7q5jBiuEiVk7TBahjnvchW4BzjLAhaJ3.png)

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