#IDSS

[jcmarchi]

Christine Ortiz named director of MIT Technology and Policy Program

New Post has been published on https://thedigitalinsider.com/christine-ortiz-named-director-of-mit-technology-and-policy-program/

Christine Ortiz named director of MIT Technology and Policy Program

Christine Ortiz, the Morris Cohen Professor of Materials Science and Engineering at MIT, has been named the next director of the MIT Technology and Policy Program (TPP).

“Christine is a force of nature,” says Fotini Christia, the Ford International Professor of the Social Sciences and director of the MIT Institute for Data, Systems, and Society (IDSS), which houses TPP. “Her years of service to the Institute, her support of grad students in particular, her research focus on innovation and the social good, and her network of connections across academia, industry, and government all make her the right leader for the program. At a time when technology has become such a critical part in informing evidence-based policy, I am confident that Christine will take TPP to the next level.”

Ortiz is a professor, engineer, scientist, entrepreneur, former dean, corporate board director, and foundation trustee. She is an internationally recognized researcher in biotechnology and biomaterials, advanced and additive manufacturing, and sustainable and socially-directed materials design. She has over 30 years of experience in science, engineering, research and development, and technology innovation. She has published more than 210 publications and supervised the research projects of more than 300 students, postdocs, and researchers from 60 different majors and disciplines. She has received more than 30 national and international honors, including the Presidential Early Career Award in Science and Engineering.

Ortiz served as dean for graduate education for MIT between 2010 and 2016, supporting all MIT graduate programs and more than 8,000 graduate students, where she led new initiatives in global education, educational technologies, and mentorship. She founded the nonprofit higher education and research institution Station 1 Laboratory Inc. (Station1), which is focused on socially-directed science and technology education, research, and innovation and maintains national and global reach.

Through her work at MIT and Station1, Ortiz has led the development of programs involving collaborations with more than 100 technology-focused startup companies and social enterprises. She serves on the board of directors of two public companies, Mueller Water Products (a water infrastructure and technology company) and Enovis (a medical technology company); is a member of the Commonwealth of Massachusetts Apprenticeship Council and the MIT Museum Advisory Board; and is a trustee of the Essex County Community Foundation in Massachusetts.

“I am deeply honored to take on the role of director of the TPP program, and inspired by its focus and impressive legacy of contributions related to the integration of responsible technological innovation, policy, community, and societal impact,” says Ortiz. “I look forward to supporting and advancing the TPP mission and collaborating with the incredible TPP students, faculty, alumni, and partners involved in this important and transformative work.”

Ortiz succeeds IDSS and earth, atmospheric, and planetary science Professor Noelle Selin, who was TPP director from 2018 to 2023. IDSS Senior Research Engineer Frank Field served as interim director this past year.

[ddlockk]

idk how to post art

anyway i remembered i had free will and doodled my boyfriend with his partner pokemon :3

the gallade is a redraw of Gallade V illustration rare from lost origin, which is bf’s favorite full art, but i redrew it with his mega Gallade, and his other partner is Phantump :’3c

I’m gonna paint these proper and give them to him,, but y’all get to see the first sketches and scans :’’3

[prettiedup]

I HATE THAT SHES SUCH A DUMB NAIVE BIMBO WITHOUT A SPINE but even though I absolutely despise her personality I'm so hooked on this series,like this is smth that happened to someone very dear to me so it hits home.anyways even though I feel like slapping the shit out of her,i LOVE this fic.this isn't meant as a insult or idss to your works,i genuinely love and enjoy reading it albeit I get a little frustrated sometimes

aw i get wym!! thank you veriii much for takin the time to read wht i put out <33 🥹

honestly when i started this series out , i did not intend to make her so spineless , my intention was to present ray of sunshine x solemn frat boy but like i think i lost da plot ?? nd i think we’re n too deep to rewrite her so i dunnooooo 😭

[usafphantom2]

Tornado Italian prototype maiden flight on 5 Dec 1975 from Turin. The Aeronautica Militare received 100 Tornado IDSs (16 A-200s were subsequently converted to ECR configuration) As stop-gap for 10yrs Aeronautica Militare additionally operated 24 Tornado ADVs in air defence role.

@ron_eisele via X

[sunaleisocial]

MIT researchers develop an efficient way to train more reliable AI agents

New Post has been published on https://sunalei.org/news/mit-researchers-develop-an-efficient-way-to-train-more-reliable-ai-agents/

MIT researchers develop an efficient way to train more reliable AI agents

Fields ranging from robotics to medicine to political science are attempting to train AI systems to make meaningful decisions of all kinds. For example, using an AI system to intelligently control traffic in a congested city could help motorists reach their destinations faster, while improving safety or sustainability.

Unfortunately, teaching an AI system to make good decisions is no easy task.

Reinforcement learning models, which underlie these AI decision-making systems, still often fail when faced with even small variations in the tasks they are trained to perform. In the case of traffic, a model might struggle to control a set of intersections with different speed limits, numbers of lanes, or traffic patterns.

To boost the reliability of reinforcement learning models for complex tasks with variability, MIT researchers have introduced a more efficient algorithm for training them.

The algorithm strategically selects the best tasks for training an AI agent so it can effectively perform all tasks in a collection of related tasks. In the case of traffic signal control, each task could be one intersection in a task space that includes all intersections in the city.

By focusing on a smaller number of intersections that contribute the most to the algorithm’s overall effectiveness, this method maximizes performance while keeping the training cost low.

The researchers found that their technique was between five and 50 times more efficient than standard approaches on an array of simulated tasks. This gain in efficiency helps the algorithm learn a better solution in a faster manner, ultimately improving the performance of the AI agent.

“We were able to see incredible performance improvements, with a very simple algorithm, by thinking outside the box. An algorithm that is not very complicated stands a better chance of being adopted by the community because it is easier to implement and easier for others to understand,” says senior author Cathy Wu, the Thomas D. and Virginia W. Cabot Career Development Associate Professor in Civil and Environmental Engineering (CEE) and the Institute for Data, Systems, and Society (IDSS), and a member of the Laboratory for Information and Decision Systems (LIDS).

She is joined on the paper by lead author Jung-Hoon Cho, a CEE graduate student; Vindula Jayawardana, a graduate student in the Department of Electrical Engineering and Computer Science (EECS); and Sirui Li, an IDSS graduate student. The research will be presented at the Conference on Neural Information Processing Systems.

Finding a middle ground

To train an algorithm to control traffic lights at many intersections in a city, an engineer would typically choose between two main approaches. She can train one algorithm for each intersection independently, using only that intersection’s data, or train a larger algorithm using data from all intersections and then apply it to each one.

But each approach comes with its share of downsides. Training a separate algorithm for each task (such as a given intersection) is a time-consuming process that requires an enormous amount of data and computation, while training one algorithm for all tasks often leads to subpar performance.

Wu and her collaborators sought a sweet spot between these two approaches.

For their method, they choose a subset of tasks and train one algorithm for each task independently. Importantly, they strategically select individual tasks which are most likely to improve the algorithm’s overall performance on all tasks.

They leverage a common trick from the reinforcement learning field called zero-shot transfer learning, in which an already trained model is applied to a new task without being further trained. With transfer learning, the model often performs remarkably well on the new neighbor task.

“We know it would be ideal to train on all the tasks, but we wondered if we could get away with training on a subset of those tasks, apply the result to all the tasks, and still see a performance increase,” Wu says.

To identify which tasks they should select to maximize expected performance, the researchers developed an algorithm called Model-Based Transfer Learning (MBTL).

The MBTL algorithm has two pieces. For one, it models how well each algorithm would perform if it were trained independently on one task. Then it models how much each algorithm’s performance would degrade if it were transferred to each other task, a concept known as generalization performance.

Explicitly modeling generalization performance allows MBTL to estimate the value of training on a new task.

MBTL does this sequentially, choosing the task which leads to the highest performance gain first, then selecting additional tasks that provide the biggest subsequent marginal improvements to overall performance.

Since MBTL only focuses on the most promising tasks, it can dramatically improve the efficiency of the training process.

Reducing training costs

When the researchers tested this technique on simulated tasks, including controlling traffic signals, managing real-time speed advisories, and executing several classic control tasks, it was five to 50 times more efficient than other methods.

This means they could arrive at the same solution by training on far less data. For instance, with a 50x efficiency boost, the MBTL algorithm could train on just two tasks and achieve the same performance as a standard method which uses data from 100 tasks.

“From the perspective of the two main approaches, that means data from the other 98 tasks was not necessary or that training on all 100 tasks is confusing to the algorithm, so the performance ends up worse than ours,” Wu says.

With MBTL, adding even a small amount of additional training time could lead to much better performance.

In the future, the researchers plan to design MBTL algorithms that can extend to more complex problems, such as high-dimensional task spaces. They are also interested in applying their approach to real-world problems, especially in next-generation mobility systems.

The research is funded, in part, by a National Science Foundation CAREER Award, the Kwanjeong Educational Foundation PhD Scholarship Program, and an Amazon Robotics PhD Fellowship.

[transparentcomputertidalwave]

high_octane_RIAA PRE HI FI BASSO RUMORE CON FET MOS TRANSISTOR Questo è lo schema del pre phono ad alto numero di ottani.

Forse avrei dovuto dire prima che non rispetta affatto le attuali regole di "buona" progettazione di circuiti: usa bjt invece di jfet RIAA attiva invece di una passiva un feedback piuttosto negativo invece di eseguire un ciclo aperto Almeno utilizza un regolatore shunt come alimentatore😉

Può essere inserito in una scatola grande 10x8cm. Il punto di partenza per questo circuito single ended è un circuito a 3 transistor di HP Walker e risale agli anni '60. Ci sono alcune informazioni anche nel libro di Douglas Self sulla progettazione di piccoli segnali!

A margine, il regolatore shunt opamp con le sue eccellenti prestazioni è originariamente di Ovidiu (sinestesia) e il particolare schema di compensazione della frequenza di Edmond Stuart.

I punti indicati come SENSE sono per il telerilevamento utilizzato dal regolatore shunt, in modo che la tensione sia regolata direttamente al primo stadio! Il preamplificatore phono ad alto numero di ottani Benvenuti al preamplificatore phono ad alto numero di ottani! 25-10-2015 / Aggiornamento del 10-06-2017 Hannes Allmaier Questo sito ha lo scopo di aiutare a costruire questo preamplificatore phono. Il circuito è stato originariamente pubblicato in Linear Audio n. 6: http://linearaudio.net/article-detail/2159 e il thread del forum dedicato è disponibile all'indirizzo http://www.diyaudio.com/forums/analo…no-preamp.html dove tutti sono calorosamente invitati a contribuire! Schemi Lo schema del preamplificatore phono ad alto numero di ottani pubblicato in LinearAudio: È stato anche pubblicato qui: http://www.diyaudio.com/forums/analo…ml#post3631742 Le schede Si prega di notare che le schede regalate sono realizzate 1:1 dalla mia costruzione del prototipo finale. Pertanto, anche queste hanno qualche verruca, bug e tutto il resto, niente di serio, ma vorrai leggere le seguenti note di costruzione. In termini di transistor , è possibile l'uso di molti transistor bipolari a basso rumore, anche se ovviamente consiglio l'uso delle parti specificate originariamente nonostante siano difficili da ottenere. Se si utilizzano transistor diversi, controllare il pin-out e regolare di conseguenza l'orientamento del transistor, se necessario. Il 2SC2547 utilizzato segue il pinout Emettitore-Collettore-Base (ECB) se visto frontalmente . Si noti che il transistor CCS di uscita Q4/Q104 è una parte piuttosto speciale, vale a dire un MOSFET a modalità di svuotamento, che è normalmente acceso. Dalle caratteristiche elettriche è simile ai comuni JFET ma con un IDSS molto più elevato. Grazie alle sue proprietà speciali è difficile da sostituire e si consiglia l'uso del DN2540 originale. Questa parte è in piena produzione e può essere ottenuta negli Stati Uniti da Mouser e Digikey. Se avete domande, inviatemi un'e-mail e cercherò di aiutarvi. Spero che questo piccolo circuito vi piaccia tanto quanto a me! Buona costruzione! Si prega di notare la nota dell'editore di LinearAudio: questo documento fornisce note e informazioni per la costruzione del preamplificatore phono High-Octane come pubblicato in Linear Audio Vol 6 (settembre 2013). L'autore ha anche gentilmente fornito i file Gerber del PCB per uso personale e/o di studio. Si prega di contattare l'autore se si prevede di utilizzare questo progetto o parti di esso per uno scopo commerciale. Note di costruzione Le schede sono identiche a quella che ho utilizzato per il mio prototipo (versione v3e), che è stata migliorata durante i test. Quindi questa versione manca di alcune piccole modifiche per renderla la versione finale 'f'. Lo schema mostrato nell'articolo è corretto e considera tutte queste modifiche. Regolatore di tensione: NON inserire CP1 (danneggerà l'amplificatore operazionale) e NON mettere a terra la sua seconda gamba (che è collegata all'ingresso dell'amplificatore operazionale); lo schema mostra correttamente come dovrebbe essere collegato CP1 (o semplicemente ometterlo) Ingressi amplificatore: omettere C6/C106 (C6/C106 è un residuo del circuito originale in cui formava la capacità di carico della cartuccia, sostituita in questa versione dai condensatori di carico commutabili); Ingressi amplificatore: collegare R2/R102 con un ponticello;

[jaroeducation1]

Most Trusted Online Higher Education Company | Jaro Education

In the evolving landscape of online education, Jaro Education has emerged as a trusted leader in India, specializing in online higher education and executive programs. Founded in 2009 by Dr. Sanjay Salunkhe, Jaro Education stands out not only for its extensive program offerings but also for its commitment to quality, career advancement, and student satisfaction. With a focus on the needs of working professionals, Jaro has pioneered executive education programs in collaboration with some of the most prestigious institutions in India and abroad, making it one of India’s most respected EdTech companies.

A Strong Foundation in Quality and Trust

Jaro Education has built its reputation on the foundations of trust, quality, and industry relevance. As an EdTech company, Jaro was among the first to introduce executive and online education to the Indian market, setting new standards for remote learning. This commitment to quality and transparency has been recognized by prestigious awards, including the Leading EdTech Company of the Year by Times Business Award 2024 and India’s Most Trusted Online Higher Education accolade from Outlook Business Icon 2023. These awards underscore Jaro’s mission to make high-quality education accessible, effective, and rewarding.

Collaboration with Top Universities

One of Jaro Education’s core strengths is its collaboration with top-ranked universities and institutes, both in India and internationally. Through partnerships with institutions like the Massachusetts Institute of Technology’s Institute for Data, Systems, and Society (MIT IDSS), The Wharton Business School’s Wharton Interactive, and top Indian institutions such as IIM Ahmedabad, IIM Kozhikode, and IIT Madras, Jaro brings cutting-edge courses to learners. These partnerships ensure that students have access to updated curricula, industry-relevant skills, and esteemed faculty, making Jaro’s programs credible and impactful.

Programs Designed for Career Advancement

Jaro Education offers a diverse range of over 150 programs in fields like management, technology, and techno-functional studies, all geared toward career growth. By providing flexible, online courses, Jaro caters to professionals across various career stages, from entry-level roles to C-suite executives. Many of these programs focus on areas with high industry demand, such as data analytics, digital marketing, finance, and leadership development. With 23+ learning centers across India, Singapore, and the USA, Jaro Education aims to transform careers by offering programs that provide real-world value.

Empowering Professionals through Innovation and Support

Jaro’s approach to online education includes a strong emphasis on innovation and support, creating an engaging learning experience that meets students’ needs. The company’s support infrastructure ensures that learners have access to resources, mentorship, and guidance, whether they’re new to online learning or seasoned professionals looking to upgrade their skills. Jaro’s use of technology allows for seamless content delivery, regular assessments, and networking opportunities, creating a supportive and effective educational environment.

A Vision for the Future of Education

As Jaro Education continues to grow, its vision remains focused on transforming professional education by blending traditional academic rigor with modern, technology-driven solutions. By nurturing an ecosystem where quality, accessibility, and industry alignment come together, Jaro Education empowers learners to thrive in today’s competitive job market. With its established credibility and ongoing commitment to student success, Jaro Education is well-positioned to shape the future of online higher education in India and beyond.

[whisnews21]

IDSS Hall Of Fame "Songwriter" Doc Holiday  Doc Holiday has been inducted into the Independent Superstars “Songwriting” Hall of Fame. Frans Maritz (Wildhorse Entertainment) signed the official certificate placing  Doc into this prestigious organization located in South Africa. Doc Holiday has the distinct honor of being inducted into the IDSS Hall of Fame for his life-time contribution to the Independent Music Industry as a Songwriter. Doc is seen holding his award below in the animated Hall Of Fame, confirming his induction into the Hall Of Fame. “Writing music and having the opportunity to do so is such a blessing. I am honored to have written music for some of the best artists in the world. A big thank you goes out to Frans Maritz and all those who support me and my music! It is a great honor for me to be inducted into the IDSS Songwriters Hall of Fame! Having the ability to write music in my life is a joy, no matter where I am or what I do, thank you.” Doc  Holiday

[portlandnet]

2024.10.02 NET CDE Training - Deployment After Dark

Resources and products mentioned:

In depth presentations by Ed Kraus which go into more depth: Power to the People! Planning for Emergency Electricity Part 1 - How to connect things together, how to use power safely, and how to calculate the power and energy you need to function Part 2 - How we can generate and store power for home and for our NET team, so we can keep going more than one or two operational periods

Dark Adaptation of the Human Eye and the Value of Red Flashlights

Hourly weather forecast

IDSS Forecast Points

Clackamas Town Center AAR

Hurricane Helene amateur radio repeater broadcast

Products mentioned and suggested by NETs (not endorsed by PBEM):

3 battery replacement cartridge

Swift RL Headlamp

DanForce USB Rechargeable LED Headlamp

Olight Arkfeld Adjustable Right-angle Pocket Flashlight

Nebo Slide King 4K Work Light & Flashlight

Nebo Slim+ 1200 Pocket Light, Laser, and Power Bank

[jcmarchi]

Community members receive 2024 MIT Excellence Awards, Collier Medal, and Staff Award for Distinction in Service

New Post has been published on https://thedigitalinsider.com/community-members-receive-2024-mit-excellence-awards-collier-medal-and-staff-award-for-distinction-in-service/

Community members receive 2024 MIT Excellence Awards, Collier Medal, and Staff Award for Distinction in Service

On Wednesday, June 5, 13 individuals and four teams were awarded MIT Excellence Awards — the highest awards for staff at the Institute. Colleagues holding signs, waving pompoms, and cheering gathered in Kresge Auditorium to show their support for the honorees. In addition to the Excellence Awards, staff members were honored with the Collier Medal, the Staff Award for Distinction in Service, and the Gordon Y. Billard Award. 

The Collier Medal honors the memory of Officer Sean Collier, who gave his life protecting and serving MIT; it celebrates an individual or group whose actions demonstrate the importance of community. The Staff Award for Distinction in Service is presented to a staff member whose service results in a positive lasting impact on the Institute.

The Gordon Y. Billard Award is given annually to staff, faculty, or an MIT-affiliated individual(s) who has given “special service of outstanding merit performed for the Institute.” This year, for the first time, this award was presented at the MIT Excellence Awards and Collier Medal celebration. 

The 2024 MIT Excellence Award recipients and their award categories are: 

Innovative Solutions 

Nanotechnology Material Core Staff, Koch Institute for Integrative Cancer Research, Office of the Vice President for Research (Margaret Bisher, Giovanni de Nola, David Mankus, and Dong Soo Yun)

Bringing Out the Best 

Salvatore Ieni 

James Kelsey 

Lauren Pouchak

Serving Our Community 

Megan Chester 

Alessandra Davy-Falconi 

David Randall 

Days Weekend Team, Department of Custodial Services, Department of Facilities: Karen Melisa Betancourth, Ana Guerra Chavarria, Yeshi Khando, Joao Pacheco, and Kevin Salazar 

IMES/HST Academic Office Team, Institute for Medical Engineering and Science, School of Engineering: Traci Anderson, Joseph R. Stein, and Laurie Ward 

Team Leriche, Department of Custodial Services, Department of Facilities: Anthony Anzalone, David Solomon Carrasco, Larrenton Forrest, Michael Leriche, and Joe Vieira

Embracing Diversity, Equity, and Inclusion 

Bhaskar Pant 

Jessica Tam

Outstanding Contributor 

Paul W. Barone 

Marcia G. Davidson 

Steven Kooi 

Tianjiao Lei 

Andrew H. Mack

2024 MIT Excellence Awards + Collier Medal Ceremony

The 2024 Collier Medal recipient was Benjamin B. Lewis, a graduate student in the Institute for Data, Systems and Society in the MIT Schwarzman College of Computing. Last spring, he founded the Cambridge branch of End Overdose, a nonprofit dedicated to reducing drug-related overdose deaths. Through his efforts, more than 600 members of the Greater Boston community, including many at MIT, have been trained to administer lifesaving treatment at critical moments.

This year’s recipient of the 2024 Staff Award for Distinction in Service was Diego F. Arango (Department of Custodial Services, Department of Facilities), daytime custodian in Building 46. He was nominated by no fewer than 36 staff, faculty, students, and researchers for creating a positive working environment and for offering “help whenever, wherever, and to whomever needs it.”

Three community members were honored with a 2024 Gordon Y. Billard Award

Deborah G. Douglas, senior director of collections and curator of science and technology, MIT Museum

Ronald Hasseltine, assistant provost for research administration, Office of the Vice President for Research

Richard K. Lester, vice provost for international activities and Japan Steel Industry Professor of Nuclear Science and Engineering, School of Engineering

Presenters included President Sally Kornbluth; MIT Chief of Police John DiFava and Deputy Chief Steven DeMarco; Vice President for Human Resources Ramona Allen; Executive Vice President and Treasurer Glen Shor; Provost Cynthia Barnhart; Lincoln Laboratory director Eric Evans; Chancellor Melissa Nobles; and Dean of the School of Engineering Anantha Chandrakasan.

Visit the MIT Human Resources website for more information about the award recipients, categories, and to view photos and video of the event.

[hotnew-pt]

Christine Ortiz nomeada diretora do Programa de Tecnologia e Política do MIT | Notícias do MIT #ÚltimasNotícias

Hot News Christine Ortiz, professora Morris Cohen de Ciência e Engenharia de Materiais do MIT, foi nomeada a próxima diretora do Programa de Tecnologia e Política (TPP) do MIT. “Christine é uma força da natureza”, diz Fotini Christia, a Professora Internacional Ford de Ciências Sociais e diretora do Instituto de Dados, Sistemas e Sociedade (IDSS) do MIT, que abriga o TPP. “Seus anos de serviço…

[heavydutymachinerepairguide]

This article mainly introduces how to perform brake exhaust operation on Isuzu vehicles

ISUZU IDSS MX2-T Diagnostic Adapter System Support G- IDSS/US-IDSS/E-IDSS (Included DHL Shipping)

Air in the brake hydraulic circuit will result in dangerous reduced braking efficiency.

The brake hydraulic circuit must be bled whenever the vehicle has been operated with the reservoir brake fluid level at an excessively low level or any time the brake pipes have been disconnected in the course of brake servicing.

The brake bleeding procedure requires the cooperative action of two men.

Brake Bleeding Procedure Bleed the brake hydraulic circuit in the following se- quence. LHD Left-hand rear wheel (vehicle equipped with ABS) → Right-hand rear wheel → DSPV or LSPV → (If so equipped) → Right-hand front wheel → Left-hand front wheel RHD Left-hand rear wheel (vehicle equipped with ABS) → Right-hand rear wheel → DSPV or LSPV (If so equipped) → Left-hand front wheel → Right-hand front wheel

1. Check to make sure that the service area is well ventilated. Apply the parking brake firmly. Start the engine and allow it to run until the vacuum pressure rises suf- ficiently.

Notice: Brake booster (master-vac) will be adversely effected if bleeding operation is performed without running engine. If the vehicle is equipped with ABS, be sure to remove the ABS fuse (60 A) from the fuse box before beginning the air bleeding procedure. If this is not done, air is not bled completely from ABS unit, so that ABS unit will be broken. (Be sure to install the ABS fuse (60 A) in speci- fied position when the air bleeding procedure is complet- ed.)

2. Fill the brake fluid reservoir (1) up to the “MAX” lev- el with clean brake fluid.

It may be necessary to replenish the brake fluid reservoir several times during the bleeding proce- dure to maintain the required level of brake fluid.

Notice: Pour the brake fluid carefully so as not to produce air bubbles. 3. Remove the right hand rear wheel cylinder (left hand rear wheel cylinder if ABS is equipped) bleed- er screw rubber cap and wipe it clean. 4. Connect one end of a vinyl tube (2) to the bleeder screw. 5. Insert the other end of the vinyl tube into a trans- parent container approximately 1/3 full of brake flu- id. 6. Depress the brake pedal (3) slowly 3 times and hold it depressed.

7. Loosen the bleeder screw (4) approximately 1/2 of a turn.

This will release the brake fluid with air bubbles into the transparent container (5).

9. Slowly release the brake pedal.

10. Replace the bleeder screw rubber cap.

Notice:

In order to bleed the air completely from the brake line, repeat the above procedures.

Bleeding of the brake fluid circuit should be performed for front wheel 10 times or more, for rear wheel 15 times or more.

11. Repeat Steps 3 through 10 for each bleeder screws as mentioned before.

12. After the air bleeding procedure is finished in all wheels, depress the brake pedal, and verify wheth-

04.2023 ISUZU E- IDSS Diagnostic Software Download and Installation Service

er there is no abnormality in operation of the brake system. 13. After the air bleeding procedure for individual wheel is completed, inspect the fluid level of the reservoir tank. If it is insufficient, replenish brake fluid. Do not overfill above “MAX” level. 14. Stop the engine.

[sunaleisocial]

A causal theory for studying the cause-and-effect relationships of genes

New Post has been published on https://sunalei.org/news/a-causal-theory-for-studying-the-cause-and-effect-relationships-of-genes/

A causal theory for studying the cause-and-effect relationships of genes

By studying changes in gene expression, researchers learn how cells function at a molecular level, which could help them understand the development of certain diseases.

But a human has about 20,000 genes that can affect each other in complex ways, so even knowing which groups of genes to target is an enormously complicated problem. Also, genes work together in modules that regulate each other.

MIT researchers have now developed theoretical foundations for methods that could identify the best way to aggregate genes into related groups so they can efficiently learn the underlying cause-and-effect relationships between many genes.

Importantly, this new method accomplishes this using only observational data. This means researchers don’t need to perform costly, and sometimes infeasible, interventional experiments to obtain the data needed to infer the underlying causal relationships.

In the long run, this technique could help scientists identify potential gene targets to induce certain behavior in a more accurate and efficient manner, potentially enabling them to develop precise treatments for patients.

“In genomics, it is very important to understand the mechanism underlying cell states. But cells have a multiscale structure, so the level of summarization is very important, too. If you figure out the right way to aggregate the observed data, the information you learn about the system should be more interpretable and useful,” says graduate student Jiaqi Zhang, an Eric and Wendy Schmidt Center Fellow and co-lead author of a paper on this technique.

Zhang is joined on the paper by co-lead author Ryan Welch, currently a master’s student in engineering; and senior author Caroline Uhler, a professor in the Department of Electrical Engineering and Computer Science (EECS) and the Institute for Data, Systems, and Society (IDSS) who is also director of the Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard, and a researcher at MIT’s Laboratory for Information and Decision Systems (LIDS). The research will be presented at the Conference on Neural Information Processing Systems.

Learning from observational data

The problem the researchers set out to tackle involves learning programs of genes. These programs describe which genes function together to regulate other genes in a biological process, such as cell development or differentiation.

Since scientists can’t efficiently study how all 20,000 genes interact, they use a technique called causal disentanglement to learn how to combine related groups of genes into a representation that allows them to efficiently explore cause-and-effect relationships.

In previous work, the researchers demonstrated how this could be done effectively in the presence of interventional data, which are data obtained by perturbing variables in the network.

But it is often expensive to conduct interventional experiments, and there are some scenarios where such experiments are either unethical or the technology is not good enough for the intervention to succeed.

With only observational data, researchers can’t compare genes before and after an intervention to learn how groups of genes function together.

“Most research in causal disentanglement assumes access to interventions, so it was unclear how much information you can disentangle with just observational data,” Zhang says.

The MIT researchers developed a more general approach that uses a machine-learning algorithm to effectively identify and aggregate groups of observed variables, e.g., genes, using only observational data.

They can use this technique to identify causal modules and reconstruct an accurate underlying representation of the cause-and-effect mechanism. “While this research was motivated by the problem of elucidating cellular programs, we first had to develop novel causal theory to understand what could and could not be learned from observational data. With this theory in hand, in future work we can apply our understanding to genetic data and identify gene modules as well as their regulatory relationships,” Uhler says.

A layerwise representation

Using statistical techniques, the researchers can compute a mathematical function known as the variance for the Jacobian of each variable’s score. Causal variables that don’t affect any subsequent variables should have a variance of zero.

The researchers reconstruct the representation in a layer-by-layer structure, starting by removing the variables in the bottom layer that have a variance of zero. Then they work backward, layer-by-layer, removing the variables with zero variance to determine which variables, or groups of genes, are connected.

“Identifying the variances that are zero quickly becomes a combinatorial objective that is pretty hard to solve, so deriving an efficient algorithm that could solve it was a major challenge,” Zhang says.

In the end, their method outputs an abstracted representation of the observed data with layers of interconnected variables that accurately summarizes the underlying cause-and-effect structure.

Each variable represents an aggregated group of genes that function together, and the relationship between two variables represents how one group of genes regulates another. Their method effectively captures all the information used in determining each layer of variables.

After proving that their technique was theoretically sound, the researchers conducted simulations to show that the algorithm can efficiently disentangle meaningful causal representations using only observational data.

In the future, the researchers want to apply this technique in real-world genetics applications. They also want to explore how their method could provide additional insights in situations where some interventional data are available, or help scientists understand how to design effective genetic interventions. In the future, this method could help researchers more efficiently determine which genes function together in the same program, which could help identify drugs that could target those genes to treat certain diseases.

This research is funded, in part, by the MIT-IBM Watson AI Lab and the U.S. Office of Naval Research.

[davejackpo]

ISUZU 4JJ1 Engine P0091 Fuel Pressure Regulator Control Circuit Low

This instruction show you guide on how to solve ISUZU 4JJ1 engine P0091 Fuel Pressure Regulator Control Circuit Low.

ISUZU IDSS MX2-T Diagnostic Tool

ISUZU E-IDSS 2024

P0091 DTC Information 1. DTC description

The FRP regulator is installed on the fuel supply pump and controls the fuel amount sucked into the common rail (fuel rail). The FRP regulator is fully opened in the normal state and larger drive current results in a smaller opening of the regulator. The ECM calculates the desired common rail (fuel rail) pressure and the fuel flow rate, and compares the calculated common rail (fuel rail) pressure to the actual pressure value to determine the opening position of the FRP regulator. If the actual common rail (fuel rail) pressure is higher than the desired pressure, the FRP regulator closes to decrease the fuel flow rate. If the ECM detects an excessively low feedback current in the FRP regulator, the DTC is set.

⇒Go to ECM harness connector inspection. NO Repair the circuit as necessary. ⇒Go to Repair verification. 11. Inspection for short to ground in FRP regulator low-side circuit 1. Inspect the low-side circuit between the ECM and the FRP regulator for a short to ground. Is the result normal? Yes ⇒Go to ECM replacement. NO Repair the circuit as necessary. ⇒Go to Repair verification. 12. Inspection for short circuit in FRP regulator circuit 1. Inspect for a short circuit between the FRP regulator high-side circuit and the low-side circuit. Is the result normal? Yes ⇒Go to FRP regulator harness connector inspection. NO Repair the circuit as necessary. ⇒Go to Repair verification. 13. FRP regulator harness connector inspection 1. Inspect for poor connections at the FRP regulator harness connector. Is the connection status normal? Yes Replace the FRP regulator.  ⇒Go to Repair verification. NO Repair the connections as necessary. ⇒Go to Repair verification. 14. ECM harness connector inspection 1. Inspect for poor connections at the ECM harness connector. Is the connection status normal? Yes ⇒Go to ECM replacement. NO Repair the connections as necessary. ⇒Go to Repair verification. 15. ECM replacement Note: Perform programming after replacing the ECM.  Procedure completion ⇒Go to Repair verification. 16. Repair verification 1. Clear the DTC with a trouble diagnosis scan tool. 2. Turn OFF the ignition switch for 30 seconds or more. 3. Start the engine. 4. Perform a test-run under the conditions for running the DTC. 5. Observe the DTC information with a trouble diagnosis scan tool. A DTC should not be set. https://www.car-auto-repair.com

[malikfaizan1997]

Netzwerk-Sicherheitslösungen: Schützen Sie Ihr Unternehmen im digitalen Zeitalter

Im heutigen digitalen Zeitalter ist die Cybersicherheit für Unternehmen jeder Größe wichtiger denn je. Sensible Daten wie Kundendaten, Finanzinformationen und geistiges Eigentum sind anfälliger denn je für Angriffe durch Hacker. Ein einziger Sicherheitsvorfall kann zu finanziellen Verlusten, Reputationsschäden und Betriebsunterbrechungen führen.

Hier kommt die Bedeutung von Netzwerk-Sicherheitslösungen ins Spiel. Diese Lösungen sollen Ihr Netzwerk und Ihre Daten vor unbefugtem Zugriff, Datenverlusten und böswilligen Angriffen schützen.

In diesem umfassenden Leitfaden werden wir die verschiedenen Arten von Netzwerk-Sicherheitslösungen, ihre Funktionen und Vorteile sowie wichtige Überlegungen bei der Auswahl der richtigen Lösung für Ihr Unternehmen erörtern.

Arten von Netzwerk-Sicherheitslösungen

Es gibt eine Vielzahl von Netzwerk-Sicherheitslösungen, die unterschiedliche Sicherheitsanforderungen erfüllen. Hier sind einige der gängigsten Lösungen:

Firewalls: Firewalls fungieren als erste Verteidigungslinie Ihres Netzwerks und kontrollieren den gesamten ein- und ausgehenden Datenverkehr. Sie filtern Datenpakete nach einer Reihe von Regeln, um verdächtige Aktivitäten zu blockieren.

Intrusion Detection and Prevention Systems (IDS/IPS): IDS/IPS-Systeme überwachen Ihr Netzwerkverkehr auf verdächtige Muster, die auf Angriffe hindeuten könnten. IDSs erkennen potenzielle Bedrohungen, während IPSs diese Bedrohungen aktiv blockieren können.

Antivirus- und Antimalware-Software: Diese Software scannt Ihre Geräte auf Viren, Malware, Spyware und andere schädliche Programme. Sie können verhindern, dass diese Programme auf Ihre Geräte gelangen oder schädliche Aktivitäten ausführen.

Endpoint Security: Endpoint Security-Lösungen bieten umfassenden Schutz für alle Geräte in Ihrem Netzwerk, einschließlich Desktops, Laptops, Server, mobile Geräte und IoT-Geräte.

Data Loss Prevention (DLP): DLP-Lösungen verhindern, dass sensible Daten Ihr Unternehmen unbeabsichtigt verlassen. Sie können Daten identifizieren, klassifizieren und verschlüsseln, um Datenlecks zu verhindern.

Web Application Firewalls (WAFs): WAFs schützen Ihre Webanwendungen vor webbasierten Angriffen wie SQL-Injection, Cross-Site Scripting (XSS) und Denial-of-Service (DoS).

Vorteile von Netzwerk-Sicherheitslösungen

Die Implementierung von Netzwerk-Sicherheitslösungen bietet Ihrem Unternehmen eine Reihe von Vorteilen, darunter:

Verbesserte Datensicherheit: Netzwerk-Sicherheitslösungen schützen Ihre sensiblen Daten vor unbefugtem Zugriff, Datenverlusten und Datenlecks.

Erhöhte Betriebsbereitschaft: Durch die Abwehr von Angriffen und der Gewährleistung der Verfügbarkeit Ihrer Systeme können Netzwerk-Sicherheitslösungen Betriebsunterbrechungen minimieren.

Geringere finanzielle Auswirkungen: Sicherheitsvorfälle können zu erheblichen finanziellen Verlusten führen. Netzwerk-Sicherheitslösungen können diese Risiken mindern und die finanziellen Auswirkungen von Angriffen reduzieren.

Verbesserte Compliance: Viele Branchen unterliegen strengen Datenschutzbestimmungen. Netzwerk-Sicherheitslösungen können Unternehmen dabei helfen, die Einhaltung dieser Vorschriften zu gewährleisten.

Gesteigertes Vertrauen der Kunden: Indem Sie Ihre Kundendaten schützen, können Sie das Vertrauen Ihrer Kunden stärken und die Kundenbindung fördern.

Auswahl der richtigen Netzwerk-Sicherheitslösung

Bei der Auswahl der richtigen Netzwerk-Sicherheitslösung für Ihr Unternehmen sollten Sie mehrere Faktoren berücksichtigen:

Größe und Komplexität Ihres Netzwerks: Die Größe und Komplexität Ihres Netzwerks wirken sich auf die benötigten Sicherheitsfunktionen aus.

Sicherheitsanforderungen: Identifizieren Sie die spezifischen Sicherheitsbedrohungen, denen Ihr Unternehmen am stärksten ausgesetzt ist.

Budget: Netzwerk-Sicherheitslösungen gibt es in verschiedenen Preisstufen. Wählen Sie eine Lösung, die Ihren Sicherheitsanforderungen entspricht und Ihr Budget nicht sprengt.

Benutzerfreundlichkeit: Achten Sie darauf, dass die Lösung benutzerfreundlich ist und von Ihrem IT-Team einfach verwaltet werden kann.

Skalierbarkeit: Wählen Sie eine Lösung, die mit Ihrem Unternehmen wachsen kann.

Fazit

Netzwerk-Sicherheitslösungen sind ein wesentlicher Bestandteil jeder umfassenden IT-Sicherheitsstrategie. Indem Sie die richtigen Lösungen implementieren, können Sie Ihr Unternehmen vor den wachsenden Bedrohungen der Cybersicherheit schützen.

Wenn Sie Fragen zur Implementierung von Netzwerk-Sicherheitslösungen in Ihrem Unternehmen haben, wenden Sie sich bitte an IT-Scale. Unsere IT-Sicherheitsexperten beraten Sie gerne und helfen Ihnen, die passende Lösung für Ihre individuellen Bedürfnisse zu finden.

[ocombatenterondonia]

ANS avalia que maioria dos planos de saúde atende bem o beneficiário

A nota média dos 896 operadoras de planos de saúde avaliadas pelo Índice de Desempenho da Saúde Suplementar 2023 (IDSS) , ano-base 2022, da Agência Nacional de Saúde Suplementar (ANS), foi 0,7898, sendo que a nota máxima é 1 e a mínima, zero. O resultado foi divulgado nesta sexta-feira (22).  O IDSS considera a média do desempenho das operadoras, ponderada pelo número de beneficiários que…