Last month, Sophos X-Ops reported several MDR cases where threat actors exploited a vulnerability in Veeam backup servers. We continue to track the activities of this threat cluster, which recently included deployment of a new ransomware. The vulnerability, CVE-2024-40711, was used as part of a threat activity cluster we named STAC 5881. Attacks leveraged compromised […]

Kyle Swovick
Dec 28, 2020; 0:RA120.002301v1-mcp.RA120.002301
Research

Gle1 is a conserved, essential regulator of DEAD-box RNA helicases, with critical roles defined in mRNA export, translation initiation, translation termination, and stress granule formation. Mechanisms that specify which, where, and when DDXs are targeted by Gle1 are critical to understand. In addition to roles for stress-induced phosphorylation and inositol hexakisphosphate binding in specifying Gle1 function, Gle1 oligomerizes via its N-terminal domain in a phosphorylation-dependent manner. However, a thorough analysis of the role for Gle1 self-association is lacking. Here, we find that Gle1 self-association is driven by two distinct regions: a coiled-coil domain and a novel 10-amino acid aggregation-prone region, both of which are necessary for proper Gle1 oligomerization. By exogenous expression in HeLa cells, we tested the function of a series of mutations that impact the oligomerization domains of the Gle1A and Gle1B isoforms. Gle1 oligomerization is necessary for many, but not all aspects of Gle1A and Gle1B function, and the requirements for each interaction domain differ. Whereas the coiled-coil domain and aggregation-prone region additively contribute to competent mRNA export and stress granule formation, both self-association domains are independently required for regulation of translation under cellular stress. In contrast, Gle1 self-association is dispensable for phosphorylation and nonstressed translation initiation. Collectively, we reveal self-association functions as an additional mode of Gle1 regulation to ensure proper mRNA export and translation. This work also provides further insight into the mechanisms underlying human gle1 disease mutants found in prenatally lethal forms of arthrogryposis.

Large regions in tumor tissues, particularly pancreatic cancer, are hypoxic and nutrient-deprived because of unregulated cell growth and insufficient vascular supply. Certain cancer cells, such as those inside a tumor, can tolerate these severe conditions and survive for prolonged periods. We hypothesized that small molecular agents, which can preferentially reduce cancer cell survival under nutrient-deprived conditions, could function as anticancer drugs. In this study, we constructed a high-throughput screening system to identify such small molecules and screened chemical libraries and microbial culture extracts. We were able to determine that some small molecular compounds, such as penicillic acid, papyracillic acid, and auranofin, exhibit preferential cytotoxicity to human pancreatic cancer cells under nutrient-deprived compared with nutrient-sufficient conditions. Further analysis revealed that these compounds target to redox systems such as GSH and thioredoxin and induce accumulation of reactive oxygen species in nutrient-deprived cancer cells, potentially contributing to apoptosis under nutrient-deprived conditions. Nutrient-deficient cancer cells are often deficient in GSH; thus, they are susceptible to redox system inhibitors. Targeting redox systems might be an attractive therapeutic strategy under nutrient-deprived conditions of the tumor microenvironment.

The subcellular localization of Arf family proteins is generally thought to be determined by their corresponding guanine nucleotide exchange factors. By promoting GTP binding, guanine nucleotide exchange factors induce conformational changes of Arf proteins exposing their N-terminal amphipathic helices, which then insert into the membranes to stabilize the membrane association process. Here, we found that the N-terminal amphipathic motifs of the Golgi-localized Arf family protein, Arfrp1, and the endosome- and plasma membrane–localized Arf family protein, Arl14, play critical roles in spatial determination. Exchanging the amphipathic helix motifs between these two Arf proteins causes the switch of their localizations. Moreover, the amphipathic helices of Arfrp1 and Arl14 are sufficient for cytosolic proteins to be localized into a specific cellular compartment. The spatial determination mediated by the Arfrp1 helix requires its binding partner Sys1. In addition, the residues that are required for the acetylation of the Arfrp1 helix and the myristoylation of the Arl14 helix are important for the specific subcellular localization. Interestingly, Arfrp1 and Arl14 are recruited to their specific cellular compartments independent of GTP binding. Our results demonstrate that the amphipathic motifs of Arfrp1 and Arl14 are sufficient for determining specific subcellular localizations in a GTP-independent manner, suggesting that the membrane association and activation of some Arf proteins are uncoupled.

The glucagon receptor (GCGR) activated by the peptide hormone glucagon is a seven-transmembrane G protein–coupled receptor (GPCR) that regulates blood glucose levels. Ubiquitination influences trafficking and signaling of many GPCRs, but its characterization for the GCGR is lacking. Using endocytic colocalization and ubiquitination assays, we have identified a correlation between the ubiquitination profile and recycling of the GCGR. Our experiments revealed that GCGRs are constitutively ubiquitinated at the cell surface. Glucagon stimulation not only promoted GCGR endocytic trafficking through Rab5a early endosomes and Rab4a recycling endosomes, but also induced rapid deubiquitination of GCGRs. Inhibiting GCGR internalization or disrupting endocytic trafficking prevented agonist-induced deubiquitination of the GCGR. Furthermore, a Rab4a dominant negative (DN) that blocks trafficking at recycling endosomes enabled GCGR deubiquitination, whereas a Rab5a DN that blocks trafficking at early endosomes eliminated agonist-induced GCGR deubiquitination. By down-regulating candidate deubiquitinases that are either linked with GPCR trafficking or localized on endosomes, we identified signal-transducing adaptor molecule–binding protein (STAMBP) and ubiquitin-specific protease 33 (USP33) as cognate deubiquitinases for the GCGR. Our data suggest that USP33 constitutively deubiquitinates the GCGR, whereas both STAMBP and USP33 deubiquitinate agonist-activated GCGRs at early endosomes. A mutant GCGR with all five intracellular lysines altered to arginines remains deubiquitinated and shows augmented trafficking to Rab4a recycling endosomes compared with the WT, thus affirming the role of deubiquitination in GCGR recycling. We conclude that the GCGRs are rapidly deubiquitinated after agonist-activation to facilitate Rab4a-dependent recycling and that USP33 and STAMBP activities are critical for the endocytic recycling of the GCGR.

Yueming Hu
Dec 11, 2020; 0:jlr.RA120000919v1-jlr.RA120000919
Research Articles

In SAS Business Rules Manager 3.3, the initial loading of a rule set and a rule flow takes significantly longer than it does in release 3.2. When this problem happens, long time gaps are evident in the local

If the response variable is in the CLASS statement variable list before the class variables that also appear in the MODEL statement, and an OM-data-set is used, least squares means results for several of the statistical procedures are incorrect.

In SAS Retail Space Management, it should be possible to click on any location object, then Show Properties, and change the location fill color. This can be done on the gray-filled objects. However, w

Apolipoproteins C-I, C-II and C-III interact with ApoE to regulate lipoprotein metabolism and contribute to Alzheimer’s disease pathophysiology. In plasma, apoC-I and C-II exist as truncated isoforms, while apoC-III exhibits multiple glycoforms. This study aimed to 1. delineate apoC-I, C-II and C-III isoform profiles in CSF and plasma in a cohort of non-demented older individuals (n = 61), and 2. examine the effect of APOE4 on these isoforms and their correlation with CSF Aβ42, a surrogate of brain amyloid accumulation. The isoforms of the apoCs were immunoaffinity enriched and measured with MALDI-TOF mass spectrometry, revealing a significantly higher percentage of truncated apoC-I and apoC-II in CSF compared to matched plasma, with positive correlation between CSF and plasma. A greater percentage of monosialylated and disialylated apoC-III isoforms was detected in CSF, accompanied by a lower percentage of the two non-sialylated apoC-III isoforms, with significant linear correlations between CSF and plasma. Furthermore, a greater percentage of truncated apoC-I in CSF, and apoC-II in plasma and CSF, was observed in individuals carrying at least one apoE E4 allele. Increased apoC-I and apoC-II truncations were  associated with lower CSF Aβ42. Finally, monosialylated apoC-III was lower, and disialylated apoC-III greater in the CSF of E4 carriers. Together, these results reveal distinct patterns of the apoCs isoforms in CSF, implying CSF-specific apoCs processing. These patterns were accentuated in APOE E4 allele carriers, suggesting an association between APOE4 genotype and Alzheimer’s disease pathology with apoCs processing and function in the brain.

The development of the HUPO-PSI's (Proteomics Standards Initiative) standard data formats and MIAPE (Minimum Information About a Proteomics Experiment) guidelines should improve proteomics data sharing within the scientific community. Proteomics journals have encouraged the use of these standards and guidelines to improve the quality of experimental reporting and ease the evaluation and publication of manuscripts. However, there is an evident lack of bioinformatics tools specifically designed to create and edit standard file formats and reports, or embed them within proteomics workflows. In this article, we describe a new web-based software suite (The ProteoRed MIAPE web toolkit) that performs several complementary roles related to proteomic data standards. Firstly, it can verify the reports fulfill the minimum information requirements of the corresponding MIAPE modules, highlighting inconsistencies or missing information. Secondly, the toolkit can convert several XML-based data standards directly into human readable MIAPE reports stored within the ProteoRed MIAPE repository. Finally, it can also perform the reverse operation, allowing users to export from MIAPE reports into XML files for computational processing, data sharing or public database submission. The toolkit is thus the first application capable of automatically linking the PSI's MIAPE modules with the corresponding XML data exchange standards, enabling bidirectional conversions. This toolkit is freely available at http://www.proteored.org/MIAPE/.

Intact glycopeptide identification has long been known as a key and challenging barrier to the comprehensive and accurate understanding the role of glycosylation in an organism. Intact glycopeptide analysis is a blossoming field that has received increasing attention in recent years. Mass spectrometry (MS)-based strategies and relative software tools are major drivers that have greatly facilitated the analysis of intact glycopeptides, particularly intact N-glycopeptides. This manuscript provides a systematic review of the intact glycopeptide identification process using mass spectrometry data generated in shotgun proteomic experiments, which typically focus on N-glycopeptide analysis. Particular attention is paid to the software tools that have been recently developed in the last decade for the interpretation and quality control of glycopeptide spectra acquired using different MS strategies. The review also provides information about the characteristics and applications of these software tools, discusses their advantages and disadvantages, and concludes with a discussion of outstanding tools.

Cells continually degrade and replace damaged proteins. However, the high energetic demand of protein turnover generates reactive oxygen species (ROS) that compromise the long-term health of the proteome. Thus, the relationship between aging, protein turnover and energetic demand remains unclear. Here, we used a proteomic approach to measure rates of protein turnover within primary fibroblasts isolated from a number of species with diverse lifespans including the longest-lived mammal, the bowhead whale. We show that organismal lifespan is negatively correlated with turnover rates of highly abundant proteins. In comparison to mice, cells from long-lived naked mole rats have slower rates of protein turnover, lower levels of ATP production and reduced ROS levels. Despite having slower rates of protein turnover, naked mole rat cells tolerate protein misfolding stress more effectively than mouse cells. We suggest that in lieu of rapid constitutive turnover, long-lived species may have evolved more energetically efficient mechanisms for selective detection and clearance of damaged proteins.

Phillies president Andy MacPhail opened a 28-minute press conference on Friday afternoon at Spectrum Field with facts and figures about investments the organization made the past few seasons as the team wallowed at the bottom of the National League. Then MacPhail talked a lot about Bryce Harper and Manny Machado as well as manager Gabe Kapler.

The Phillies list isn't quite as strong as it once was because of the Realmuto deal, but there's still some very good talent at the top and some exciting players on the rise.

MLB.com looked at each team's two highest-ranked position players in WAR, according to the Steamer projections. Here are the top 10, but keep in mind that things could change once Manny Machado and Bryce Harper find homes.

The 2019 MLB season feels so close now. Spring Training has begun. Players are taking the field. So it's time to rank the best of the best.

At a recent clinical meeting, I heard that GPs local to me are about to lose the ability to request magnetic resonance imaging (MRI) scans for patients presenting with musculoskeletal symptoms. We’re instead advised to refer our patients to a musculoskeletal clinical assessment and triage service (CATS)—staffed largely by musculoskeletal advanced practitioners, who will assess our patients and determine whether imaging is warranted.The hope is that fewer patients will have unnecessary imaging and that this will reduce the potential harms of overdiagnosis. Radiologists rarely report musculoskeletal MRI scans as entirely normal, and it can be hard to know what to do with abnormal findings on an MRI. More often than not, patients with abnormal scans are referred to orthopaedic teams, even though there may not necessarily be a surgical target.At a population level, this is problematic on two fronts. Firstly, MRI scans are expensive and need to be used judiciously....

Putin’s Eurasian dream may soon become a nightmare Expert comment NCapeling 3 May 2022

The Ukraine invasion has detrimental consequences for the Russia-led Eurasian Economic Union, a project which has been stumbling since its inception.

The Eurasian Economic Union (EAEU) – consisting of Russia with Armenia, Belarus, Kazakhstan, and Kyrgyzstan – represents the culmination of Russia’s pursuit of regional integration with its post-Soviet neighbours.

Officially, the Union has an ambitious economic goal – the creation of a market based on common rules for its five member states and their 180 million citizens – and Russia likes to portray the EAEU as an Eurasian replica of the European Union (EU).

But although a common market was placed at the heart of the EAEU as a way to appeal to member states, it is of marginal importance for the Russian economy. For Moscow, the EAEU is primarily a geopolitical tool to help re-assert its regional and global role.

In a world of evermore powerful trading blocs, Moscow wants to use the EAEU to establish its own economic power base in the new polycentric world order. But Russia’s limited interest in the technocratic intricacies needed for the economic union to live up to its lofty proclamations exposes the real geopolitical ambitions.

The Kremlin has no qualms about disregarding the common rules when they clash with Russia’s own foreign policy, and it soon became evident the EAEU was a means to an end rather than an equitable institution within which Russia would accept constraints on its unilateral behaviour.

A crisis in the making

Although the EAEU has enabled some internal trade liberalization as well as the movement of people and labour to the benefit of its members reliant on labour migrant remittances, it has failed to tackle institutional barriers or promote growth and development policies.

It has been hampered by weak common institutions and a lack of institutional capacity of its member states, while Russia’s dubious commitment is also problematic. The EAEU lacks the institutional features of a genuine common market and any attempts to address these shortcomings have been essentially empty promises.

EAEU membership does benefit the political elites of its member states, because its hub-and-spoke model relies on bilateral high-level political deals between Russia and each member state individually. And by using the enticement of security guarantees and both political and financial support, Moscow has succeeded in attracting new members to join.

But a member’s political survival – or defence against political and economic reform – is dependent on military, economic, financial, and political support from Russia. This has been evidenced by the Armenian-Azerbaijan conflict, and by Russia’s backing of the Lukashenka regime in Belarus and the Tokayev government in Kazakhstan.

The design of the EAEU ties it to Russia’s own fate, and so the impact of harsh sanctions imposed on Russia for invading Ukraine are in stark evidence across its member states. Both Kazakhstan and Kyrgyzstan are reeling from the adverse effects on their domestic currencies and remittances, and the trade bans of key commodities.

And although the ban Russia imposed on grain export to EAEU members has softened, it shows the extent to which Russia was prepared to disregard the rules and sacrifice the EAEU to rescue its own economy. Members are incurring direct economic losses from Putin’s war against Ukraine and the fluctuation of the rouble has created a major impediment to trade with Russia.

Russia seems to increasingly view the Union as a convenient tool to bypass sanctions, with massive implications for its partner countries. And the supposed advantages of EAEU membership – enhanced trade, growth, and modernization – have simply not materialized.

Due to the rapid economic decline of Russia – a fall of 10-15 per cent is anticipated for 2022 – the EAEU is even less likely to deliver the promised economic benefits, while also putting members at risk of secondary sanctions.

The Ukraine invasion has also reignited domestic sensitivities and regional tensions. In Kazakhstan, Tokayev has failed to endorse Russia’s justification for the invasion and refuses to recognize the ‘independence’ of the separatist LNR and DNR.

Meanwhile Azerbaijan has pursued territorial gains in Nagorno-Karabakh while Russia is distracted by its invasion of Ukraine, and has requested the withdrawal of Russian peacekeeping from the disputed territory.

Russia is keen for partner countries to help mitigate the economic impact of sanctions by providing alternative transit routes for imports to Russia. But the EAEU faces challenges even at its most basic level because the sharing of custom duties among member states was denominated in dollars, which Russia now wants to move away from.

No easy escape

Russia’s invasion of Ukraine clearly reduces the benefits of Eurasian integration even further than before and imposes higher cost on the partner countries than were envisaged when they joined. They have been dragged into a geopolitical calamity over which they have no control – the inability of EAEU institutions to mediate or constrain Russia’s behaviour is stark.

Preclinical data have shown that ¹⁶¹Tb-labeled peptides targeting the somatostatin receptor are therapeutically more effective for peptide receptor radionuclide therapy than are their ¹⁷⁷Lu-labeled counterparts. To further substantiate this enhanced therapeutic effect, we performed cellular dosimetry to quantify the absorbed dose to the cell nucleus and compared dose–response curves to evaluate differences in relative biological effectiveness in vitro. Methods: CA20948 cell survival was assessed after treatment with [¹⁶¹Tb]Tb- and [¹⁷⁷Lu]Lu-DOTATATE (agonist) and with [¹⁶¹Tb]Tb- and [¹⁷⁷Lu]Lu-DOTA-LM3 (antagonist) via a clonogenic assay. Cell binding, internalization, and dissociation assays were performed up to 7 d to acquire time-integrated activity coefficients. Separate S values for each type of particle emission (Auger/internal conversion [IC] electrons and β^– particles) were computed via Monte Carlo simulations, while considering spheric cells. Once the absorbed dose to the cell nucleus was calculated, survival curves were fitted to the appropriate linear or linear-quadratic model and corresponding relative biological effectiveness was evaluated. Results: Although the radiopeptide uptake was independent of the radionuclide, [¹⁶¹Tb]Tb-DOTATATE and [¹⁶¹Tb]Tb-DOTA-LM3 delivered a 3.6 and 3.8 times higher dose to the nucleus, respectively, than their ¹⁷⁷Lu-labeled counterparts on saturated receptor binding. This increased nucleus-absorbed dose was mainly due to the additional emission of IC and not Auger electrons by ¹⁶¹Tb. When activity concentrations were considered, both [¹⁶¹Tb]Tb-DOTATATE and [¹⁶¹Tb]Tb-DOTA-LM3 showed a lower survival fraction than did labeling with ¹⁷⁷Lu. When the absorbed dose to the nucleus was considered, no significant difference could be observed between the dose–response curves for [¹⁶¹Tb]Tb- and [¹⁷⁷Lu]Lu-DOTATATE. [¹⁶¹Tb]Tb-DOTA-LM3 showed a linear-quadratic dose response, whereas [¹⁶¹Tb]Tb-DOTATATE showed only a linear dose response within the observed dose range, suggesting additional cell membrane damage by Auger electrons. Conclusion: The IC, rather than Auger, electrons emitted by ¹⁶¹Tb resulted in a higher absorbed dose to the cell nucleus and lower clonogenic survival for [¹⁶¹Tb]Tb-DOTATATE and [¹⁶¹Tb]Tb-DOTA-LM3 than for the ¹⁷⁷Lu-labeled analogs. In contrast, [¹⁶¹Tb]Tb-DOTATATE showed no higher dose response than [¹⁷⁷Lu]Lu-DOTATATE, whereas for [¹⁶¹Tb]Tb-DOTA-LM3 an additional quadratic response was observed. Because of this quadratic response, potentially caused by cell membrane damage, [¹⁶¹Tb]Tb-DOTA-LM3 is a more effective radiopeptide than [¹⁶¹Tb]Tb-DOTATATE for labeling with ¹⁶¹Tb.

2025 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences - 102564 Division: AC-Computing Luis J. Alvarez Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences The Computing Sciences Area (https://cs.lbl.gov/) at Lawrence Berkeley National Laboratory (https://www.lbl.gov) is now accepting applications for two distinguished postdoctoral fellowships in Computing Sciences: • Luis W. Alvarez Postdoctoral Fellowship, and • Admiral Grace M. Hopper Postdoctoral Fellowship. Researchers in computer science, mathematics, data science, or any computational science discipline who have received their Ph.D. no earlier than January 1, 2022 but no later than September 30, 2025 are encouraged to apply. Only one (1) application is needed and it will be considered for both postdoctoral fellowships. The successful candidates will participate in research activities in computer science, mathematics, data science, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Alvarez Fellows apply advances in computer science, mathematics, computational science, data science, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab. Since its founding in 2002, Berkeley Lab’s Luis W. Alvarez Postdoctoral Fellowship (go.lbl.gov/alvarez) has cultivated exceptional early career scientists who have gone on to make outstanding contributions to computer science, mathematics, data science, and computational sciences. The Admiral Grace Hopper Postdoctoral Fellowship (go.lbl.gov/hopper) was first awarded in 2015 with the goal of enabling early career scientists to make outstanding contributions in computer science and high performance computing (HPC) research. About Computing Sciences at Berkeley Lab: Whether running extreme-scale simulations on a supercomputer or applying machine-learning or data analysis to massive datasets, scientists today rely on advances in and integration across applied mathematics, computer science, and computational science, as well as large-scale computing and networking facilities, to increase our understanding of ourselves, our planet, and our universe. Berkeley Labs Computing Sciences Area researches, develops, and deploys new tools and technologies to meet these needs and to advance research in our core capabilities of applied mathematics, computer science, data science, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as astrophysics and cosmology, accelerator physics, chemical science and materials science, combustion, fusion energy, nuclear physics, biology, climate change, and HPC systems and network technology. Research areas in Computing Sciences include but are not limited to: • Developing scientific applications and software technologies for extreme-scale and energy-efficient • Developing mathematical modeling for complex scientific problems • Designing algorithms to improve the performance of scientific applications • Researching digital and post-digital computer architectures for science • Developing and advancing extreme-scale scientific data management, analysis, and visualization • Developing and advancing next-generation machine learning, AI, and data science approaches for science • Advancing quantum computing and networking technologies, software, algorithms and applications • Evaluating or developing new and promising HPC systems and networking technologies • Researching methods to control and manage next-generation networks • Managing scientific data and workflows in distributed environments Qualifications: • Requires a Ph.D. in computer science, mathematics, computational science, or related discipline. • Candidates must have no more than 3 years of Postdoctoral Researcher or similar experience. • Expertise with advanced algorithms, software techniques, HPC systems and/or networking in a related research field. • Demonstrated creativity and the ability to perform independent research. • Demonstrated excellence in a related research field. • Ability to develop new cross-disciplinary partnerships that use advanced computational and/or mathematical techniques to produce unique lab capabilities. • Excellent communication skills with the ability to facilitate communications and collaborations with internal and external stakeholders. Additional Desired Qualifications: • Knowledge of advanced computing and high-performance computing. Application Process: 1. As part of your application process, you must upload and submit the following materials with your online application. 1. Cover letter 2. CV, with publication list included 3. Research Statement (no more than five (5) pages in length when printed using standard letter-size (8.5 inch x 11 inch) paper with 1-inch margins (top, bottom, left, and right) and a font size not smaller than 11 point; figures and references cited, if included, must fit within the five-page limit) 4. Contact information (name, affiliation, and email address) of at least three (3) individuals who will be able to provide letters of reference. 2. Application deadline: October 31, 2024. * It is highly advisable that you have all the required application materials and information ready and available prior to completing and submitting your application. Your application will not be considered complete if any of the above information is missing. Tentative Application Timeline: The Computing Sciences Fellowship Selection Committee is made up of a diverse representation of scientists and engineers across Berkeley Lab’s Computing Sciences Area who will conduct a thorough review of all applications received. • Application deadline: October 31, 2024 • Review and Selection: October 2024 - December 2024 • Decisions made: January/February 2025 Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov How To Apply Apply directly online at http://50.73.55.13/counter.php?id=290341 and follow the on-line instructions to complete the application process. Berkeley Lab is committed to inclusion, diversity, equity and accessibility and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Labs mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.

This is a Remote Eligible open rank research software engineer position. The OIT (Office of Information Technology) department, Home | Office of Information Technology (oit.gatech.edu) at the Georgia Institute of Technology in Atlanta, Georgia invites applications for Partnership for Advanced Computing Environment (PACE) (pace.gatech.edu). This is a research faculty position, applications will be considered at all ranks. We seek a highly skilled and innovative Research Scientist to join our research software engineer team. The successful candidate will lead software lifecycle management with security and compliance efforts in PACE, in collaboration with other researchers, play a key role in supporting sensitive/regulated research projects while ensuring compliance with applicable regulations and security requirements. This position will also be responsible for the PACE software vulnerability management program. This role will closely work with the Research Facilitation and Cyberinfrastructure Teams to bring support to GT faculty on regulated research projects and evaluate underlying technologies. This role requires strong software engineering expertise, excellent communication skills, and the ability to bring innovative solutions to researchers’ projects and implement them to deliverable. Responsibilities • Define and implement standard operating procedures to incorporate software vulnerability management • Coordinate with other cyber security and research security personnel to satisfy software audit and compliance requirements • Software Bill of Materials (SBOM) management, identify and address software vulnerability for the PACE software stack • Take responsibility for the audit and compliance of restricted software/code (e.g. RSICC/NASA) • Provide domain expertise on CUI (Controlled Unclassified Information) and regulated software • Provide support on commercial/licensed software in the regulated environment • Work in partnership with other GT Colleges’ IT groups to support the deployment of HPC scientific applications and workflows for researchers on PACE systems • Closely work with other internal PACE units, including the Research Computing Facilitation (RCF) and Cyberinfrastructure (CI) teams, to address researchers’ needs • Coordinate review and software access processes with other research cyber security personnel • Implement best practices around research computing software vulnerability management • Research and evaluate any new technologies in software vulnerability and closely monitor NIST regulations • Author and publish scientific papers, reports, and presentations to communicate research results and findings to internal and external audiences

TEL AVIV, Israel and MINNEAPOLIS, Oct. 30, 2024 — NextSilicon, a pioneer in high-performance computing (HPC) innovation, today announced its emergence from stealth with the launch of Maverick-2, the industry’s first […]

The post NextSilicon Launches Maverick-2, Introducing Software-Defined Acceleration for HPC Workloads appeared first on HPCwire.

Zapata Computing, which was founded in 2017 as a Harvard spinout specializing in quantum software and later pivoted to an AI focus, is ceasing operations, according to an SEC filing […]

The post Zapata Computing, Early Quantum-AI Software Specialist, Ceases Operations appeared first on HPCwire.

Oct. 16, 2024 — The ISC High Performance Jack Dongarra Early Career Award and Lecture Series is an annual event that honors the remarkable contributions of Professor Jack Dongarra to […]

The post ISC Opens Nominations for 2025 Jack Dongarra Early Career Award in HPC appeared first on HPCwire.

A struggling Detroit Lions offense awoke late, scoring 19-unanswered points to rally past the Houston Texans and improve to 8-1 this season. The Lions overcame a career-high five interceptions Jared Goff threw.

A British daredevil was intentionally dragged behind his motorcycle at a speed of 159.52 mph to break a Guinness World Record.

Software implementation in high-performance computing is getting more fragmented as organizations opt for tools in their walled garden environments.  However, a new organization formed under the Linux Foundation could bring […]

The post Public and Private Sectors Team up to Solve HPC Software Problem  appeared first on HPCwire.

March 14, 2024 — Keysight Technologies, Inc. and Q-CTRL are partnering to integrate key infrastructure quantum software to accelerate quantum processor development, characterization, and key proof of principle scientific demonstrations. An interesting […]

The post Keysight and Q-CTRL Team Up to Accelerate Infrastructure Quantum Software appeared first on HPCwire.

Hyperion Research shows how organizations running high performance computing (HPC) workloads are looking to the cloud to accelerate performance. Projected to reach $11.5 billion by 2026, the cloud market for […]

The post Why More Organizations Are Running HPC Workloads in the Cloud appeared first on HPCwire.

Q-CTRL, the Australia-based start-up focusing on quantum infrastructure software, today announced that its performance-management software, Fire Opal, will be natively integrated into four of the world’s most advanced quantum computing […]

The post Quantum Software Specialist Q-CTRL Inks Deals with IBM, Rigetti, Oxford, and Diraq appeared first on HPCwire.

A new technique helps anesthesiologists track changes in states of consciousness

Researchers have a clearer picture than ever before of how common conditions that involve aggressive behavior emerge and how treatment can help

Individual interventions for burnout don’t work. Researchers explain why.

Amid a mounting mental health crisis among farmers, experts are working to make help more accessible