Lifeboat Foundation

Though almost every cell in your body contains a copy of each of your genes, only a small fraction of these genes will be expressed, or turned on. These activations are controlled by specialized snippets of DNA called enhancers, which act like skillful on-off switches. This selective activation allows cells to adopt specific functions in the body, determining whether they become—for example—heart cells, muscle cells, or brain cells.

However, these enhancers don’t always turn on the right genes at the right time, contributing to the development of genetic diseases like cancer and diabetes. A team of Johns Hopkins biomedical engineers has developed a machine-learning model that can predict which enhancers play a role in normal development and disease—an innovation that could someday power the development of enhancer-targeted therapies to treat diseases by turning genes on and off at will. The study results appeared in Nature Genetics.

“We’ve known that enhancers control transitions between cell types for a long time, but what is exciting about this work is that mathematical modeling is showing us how they might be controlled,” said study leader Michael Beer, a professor of biomedical engineering and genetic medicine at Johns Hopkins University.

Reichman University’s new Innovation Institute, which is set to formally open this spring under the auspices of the new Graziella Drahi Innovation Building, aims to encourage interdisciplinary, innovative and applied research as a cooperation between the different academic schools. The establishment of the Innovation Institute comes along with a new vision for the University, which puts the emphasis on the fields of synthetic biology, Artificial Intelligence (AI) and Advanced Reality (XR). Prof. Noam Lemelshtrich Latar, the Head of the Institute, identifies these as fields of the future, and the new Innovation Institute will focus on interdisciplinary applied research and the ramifications of these fields on the subjects that are researched and taught at the schools, for example, how law and ethics influence new medical practices and scientific research.

Synthetic biology is a new interdisciplinary field that integrates biology, chemistry, computer science, electrical and genetic engineering, enabling fast manipulation of biological systems to achieve a desired product.

Prof. Lemelshtrich Latar, with Dr. Jonathan Giron, who was the Institute’s Chief Operating Officer, has made a significant revolution at the University, when they raised a meaningful donation to establish the Scojen Institute for Synthetic Biology. The vision of the Scojen Institute is to conduct applied scientific research by employing top global scientists at Reichman University to become the leading synthetic biology research Institute in Israel. The donation will allow recruiting four world-leading scientists in various scopes of synthetic biology in life sciences. The first scientist and Head of the Scojen Institute has already been recruited – Prof. Yosi Shacham Diamand, a leading global scientist in bio-sensors and the integration of electronics and biology. The Scojen Institute labs will be located in the Graziella Drahi Innovation Building and will be one part of the future Dina Recanati School of Medicine, set to open in the academic year 2024–2025.

A particle called Pines’s demon has been seen inside a superconductor, decades after it was first predicted.

By Alex Wilkins

NIH study finds Black women may be more affected due to higher use.

Women who used chemical hair straightening products were at higher risk for uterine cancer compared to women who did not report using these products, according to a new study from the National Institutes of Health. The researchers found no associations with uterine cancer for other hair products that the women reported using, including hair dyes, bleach, highlights, or perms.

The study data includes 33,497 U.S. women ages 35–74 participating in the Sister Study, a study led by the National Institute of Environmental Health Sciences (NIEHS), part of NIH, that seeks to identify risk factors for breast cancer and other health conditions. The women were followed for almost 11 years and during that time 378 uterine cancer cases were diagnosed.

The term “virtual private network,” or VPN for short, has become almost synonymous with “online privacy and security.” VPNs function by creating an encrypted tunnel through which your data may transit as it moves over the internet. They are designed to protect your privacy and make it impossible for anyone to monitor or access your activity while you are online. But what happens if the same instrument that was supposed to keep your privacy safe turns out to be a conduit for attacks? Introduce yourself to “TunnelCrack,” a frightening discovery that has sent shockwaves across the world of cybersecurity. Nian Xue from New York University, Yashaswi Malla and Zihang Xia from New York University Abu Dhabi, Christina Popper from New York University, and Mathy Vanhoef from KU Leuven University were the ones that carried out the study.

Two serious vulnerabilities in virtual private networks (VPNs) have been discovered by a research team. These vulnerabilities had been dormant since 1996. It is possible to leak and read user traffic, steal information, or even conduct attacks on user devices by exploiting these vulnerabilities, which are present in practically every VPN product across all platforms. TunnelCrack is a combination of two common security flaws found in virtual private networks (VPNs). Even though a virtual private network (VPN) is designed to safeguard all of the data that a user sends, these attacks are able to circumvent this security. An enemy, for example, may take advantage of the security flaws to steal information from users, read their communications, attack their devices, or even just spill it all. Regardless of the security protocol that is utilized by the VPN, the uncovered flaws may be exploited and used maliciously.

Researchers in the field of information security at Horizon3 have made public the proof-of-concept (PoC) code for a major privilege escalation vulnerability (CVE-2023–26067) found in Lexmark printers. On a device that has not been patched, this vulnerability, which has a CVSS score of 8.0, might enable an attacker to get elevated access if the device is not updated.

Incorrect validation of user-supplied information is what led to the vulnerability in the system. This vulnerability might be exploited by the attacker by having the attacker make a specially crafted request to the printer. Once the vulnerability has been exploited, the attacker has the potential to get escalated rights on the device, which might give them the ability to execute arbitrary code, spill credentials, or obtain a reverse shell.

Configurations prone to vulnerability An initial Setup Wizard is shown on the display of the user’s Lexmark printer the very first time it is turned on by the user. This wizard walks the user through the process of configuring several system settings, such as the language, as well as giving them the opportunity to setup an administrative user. If the user makes the selection “Set Up Later,” the printer will provide “Guest” users access to all of the features and pages available through the web interface of the printer. If the user selects “Set up Now,” the printer will prevent them from accessing a significant portion of their accessible capability until they have authenticated themselves.

PHP is a widely used programming language that is put to use in the production of dynamic web pages. On the other hand, much like any other program, it is not completely safe from security flaws. CVE-2023–3823 and CVE-2023–3824 are the names of two new security flaws that have been identified in PHP during the course of the last several months.

An information disclosure vulnerability known as CVE-2023–3823 exists in PHP applications and makes it possible for a remote attacker to access sensitive data stored inside such applications. Inadequate validation of the XML input given by the user is the root cause of the vulnerability. This vulnerability might be exploited by the attacker by having them transmit a specially designed piece of XML code to the program. The program would then proceed to parse the code, at which point the attacker would be able to obtain access to sensitive information such as the contents of arbitrary files on the system or the results of queries made to external sources.

This issue may affect any program, library, or service that interacts with XML documents in any way, including processing or communicating with them. Because to the hard work done by nickvergessen, a security researcher, who also released the proof-of-concept.

A research team at Stanford and Google has created a virtual village for 25 AI agents to live in. They said the goal of this experiment was to create AI capable of believable, human-like behavior. These AI bots can plan parties, discuss elections, and select birthday gifts, the researchers said.

A research team at Stanford and Google has created a virtual village where 25 artificial-intelligence agents lead lives eerily reminiscent of our own.

In the virtual village, AI agents plan parties and discuss elections as part of an experiment to create more human-like bots.

The human brain is the most complex and powerful computer in the world — and, as far as we know, the universe.

Today’s most sophisticated artificial intelligence (AI) algorithms are only just beginning to offer a partial simulation of a very limited number of the brain’s functions. AI is, however, much faster when it comes to certain operations like mathematics and language.

This means it comes as no surprise that a great deal of thought and research has gone into combining the two. The idea is to use AI to better understand the workings of the brain and eventually create more accurate simulations of it. One day, it may also help us to create systems with the complexity and diversity of… More.

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