ITU-T X.1231 - Supplement on technical framework for countering telephone service scams

Security framework and requirements for service function chaining based on software-defined networking

Framework for solutions to combat counterfeit ICT devices

Framework for interconnection between VoLTE-based network and other networks supporting emergency telecommunications service (ETS)

Framework for combating the use of stolen mobile devices

Here's how to ensure these tools can be used in mission-critical applications

ESC Limited and Frameworks announced the “successful merger of their operations” which they said “brings together both entities’ strengths, creating a comprehensive and seamless shopping experience. A spokesperson said, “The union of ESC and Frameworks, effective 31 May 2023, is a testament to their shared vision of providing customers with an integrated and comprehensive shopping […]

Cybersecurity researchers have disclosed six security flaws in the Ollama artificial intelligence (AI) framework that could be exploited by a malicious actor to perform various actions, including denial-of-service, model poisoning, and model theft. "Collectively, the vulnerabilities could allow an attacker to carry out a wide-range of malicious actions with a single HTTP request, including

Growth is top of mind for most companies, but it can be tricky to get started with developing a growth framework. For one thing, most companies aren’t organized around growth, so thinking about growth requires a lot of collaboration between teams. Additionally, companies often don’t have easy access to all of the data they need to understand growth.

In SAS Life Science Analytics Framework 4.6, group membership removal fails with an exception if a user is set as assignee, a candidate, or a notification recipient in a user task for a Process Flow . The Process

When you log on to the SAS Risk Governance Framework and choose a solution, the web application might fail to load the solution content. When the problem occurs, you continue to see "Loading..." on the screen, an

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/.

Online Disinformation and Political Discourse: Applying a Human Rights Framework Research paper sysadmin 5 November 2019

Although some digital platforms now have an impact on more people’s lives than does any one state authority, the international community has been slow to hold to account these platforms’ activities by reference to human rights law.

This paper examines how human rights frameworks should guide digital technology.

Summary

• Online political campaigning techniques are distorting our democratic political processes. These techniques include the creation of disinformation and divisive content; exploiting digital platforms’ algorithms, and using bots, cyborgs and fake accounts to distribute this content; maximizing influence through harnessing emotional responses such as anger and disgust; and micro-targeting on the basis of collated personal data and sophisticated psychological profiling techniques. Some state authorities distort political debate by restricting, filtering, shutting down or censoring online networks.
• Such techniques have outpaced regulatory initiatives and, save in egregious cases such as shutdown of networks, there is no international consensus on how they should be tackled. Digital platforms, driven by their commercial impetus to encourage users to spend as long as possible on them and to attract advertisers, may provide an environment conducive to manipulative techniques.
• International human rights law, with its careful calibrations designed to protect individuals from abuse of power by authority, provides a normative framework that should underpin responses to online disinformation and distortion of political debate. Contrary to popular view, it does not entail that there should be no control of the online environment; rather, controls should balance the interests at stake appropriately.
• The rights to freedom of thought and opinion are critical to delimiting the appropriate boundary between legitimate influence and illegitimate manipulation. When digital platforms exploit decision-making biases in prioritizing bad news and divisive, emotion-arousing information, they may be breaching these rights. States and digital platforms should consider structural changes to digital platforms to ensure that methods of online political discourse respect personal agency and prevent the use of sophisticated manipulative techniques.
• The right to privacy includes a right to choose not to divulge your personal information, and a right to opt out of trading in and profiling on the basis of your personal data. Current practices in collecting, trading and using extensive personal data to ‘micro-target’ voters without their knowledge are not consistent with this right. Significant changes are needed.
• Data protection laws should be implemented robustly, and should not legitimate extensive harvesting of personal data on the basis of either notional ‘consent’ or the data handler’s commercial interests. The right to privacy should be embedded in technological design (such as by allowing the user to access all information held on them at the click of a button); and political parties should be transparent in their collection and use of personal data, and in their targeting of messages. Arguably, the value of personal data should be shared with the individuals from whom it derives.
• The rules on the boundaries of permissible content online should be set by states, and should be consistent with the right to freedom of expression. Digital platforms have had to rapidly develop policies on retention or removal of content, but those policies do not necessarily reflect the right to freedom of expression, and platforms are currently not well placed to take account of the public interest. Platforms should be far more transparent in their content regulation policies and decision-making, and should develop frameworks enabling efficient, fair, consistent internal complaints and content monitoring processes. Expertise on international human rights law should be integral to their systems.
• The right to participate in public affairs and to vote includes the right to engage in public debate. States and digital platforms should ensure an environment in which all can participate in debate online and are not discouraged from standing for election, from participating or from voting by online threats or abuse.

One of the most difficult problems with quantum computing relates to increasing the size of the quantum computer. Researchers globally are seeking to solve this “challenge of scale.” To bring […]

The post Recipe for Scaling: ARQUIN Framework for Simulating a Distributed Quantum Computing System appeared first on HPCwire.

Systemic study of pathogenic pathways and interrelationships underlying genes associated with Alzheimer's disease (AD) facilitates the identification of new targets for effective treatments. Recently available large-scale multiomics datasets provide opportunities to use computational approaches for such studies. Here, we devised a novel disease gene identification (digID) computational framework that consists of a semi-supervised deep learning classifier to predict AD-associated genes and a protein–protein interaction (PPI) network-based analysis to prioritize the importance of these predicted genes in AD. digID predicted 1,529 AD-associated genes and revealed potentially new AD molecular mechanisms and therapeutic targets including GNAI1 and GNB1, two G-protein subunits that regulate cell signaling, and KNG1, an upstream modulator of CDC42 small G-protein signaling and mediator of inflammation and candidate coregulator of amyloid precursor protein (APP). Analysis of mRNA expression validated their dysregulation in AD brains but further revealed the significant spatial patterns in different brain regions as well as among different subregions of the frontal cortex and hippocampi. Super-resolution STochastic Optical Reconstruction Microscopy (STORM) further demonstrated their subcellular colocalization and molecular interactions with APP in a transgenic mouse model of both sexes with AD-like mutations. These studies support the predictions made by digID while highlighting the importance of concurrent biological validation of computationally identified gene clusters as potential new AD therapeutic targets.

The Food and Agriculture Organization of the United Nations (FAO), in collaboration with the Secretariat of the Convention on Biological Diversity (CBD), will hold a Global Dialogue on the [...]

The U.S. Court of Appeals for the 9th Circuit turned aside a challenge to California's history and social science content standards and curriculum framework.

High-throughput sequencing (HTS) technologies have been instrumental in investigating biological questions at the bulk and single-cell levels. Comparative analysis of two HTS data sets often relies on testing the statistical significance for the difference of two negative binomial distributions (DOTNB). Although negative binomial distributions are well studied, the theoretical results for DOTNB remain largely unexplored. Here, we derive basic analytical results for DOTNB and examine its asymptotic properties. As a state-of-the-art application of DOTNB, we introduce DEGage, a computational method for detecting differentially expressed genes (DEGs) in scRNA-seq data. DEGage calculates the mean of the sample-wise differences of gene expression levels as the test statistic and determines significant differential expression by computing the P-value with DOTNB. Extensive validation using simulated and real scRNA-seq data sets demonstrates that DEGage outperforms five popular DEG analysis tools: DEGseq2, DEsingle, edgeR, Monocle3, and scDD. DEGage is robust against high dropout levels and exhibits superior sensitivity when applied to balanced and imbalanced data sets, even with small sample sizes. We utilize DEGage to analyze prostate cancer scRNA-seq data sets and identify marker genes for 17 cell types. Furthermore, we apply DEGage to scRNA-seq data sets of mouse neurons with and without fear memory and reveal eight potential memory-related genes overlooked in previous analyses. The theoretical results and supporting software for DOTNB can be widely applied to comparative analyses of dispersed count data in HTS and broad research questions.

The neuronal nucleus houses a meticulously organized genome. Within this structure, genetic material is not simply compacted but arranged into a precise and functional 3D chromatin landscape essential for cellular regulation. This mini-review highlights the importance of this chromatin landscape in healthy neurodevelopment, as well as the diseases that occur with aberrant chromatin architecture. We discuss insights into the fundamental mechanistic relationship between histone modifications, DNA methylation, and genome organization. We then discuss findings that reveal how these epigenetic features change throughout normal neurodevelopment. Finally, we highlight single-gene neurodevelopmental disorders that illustrate the interdependence of epigenetic features, showing how disruptions in DNA methylation or genome architecture can ripple across the entire epigenome. As such, we emphasize the importance of measuring multiple chromatin architectural aspects, as the disruption of one mechanism can likely impact others in the intricate epigenetic network. This mini-review underscores the vast gaps in our understanding of chromatin structure in neurodevelopmental diseases and the substantial research needed to understand the interplay between chromatin features and neurodevelopment.

The Coalition for Epidemic Preparedness Innovations (CEPI) has developed a robust CMC (Chemistry, Manufacturing, and Controls) Framework to enhance the likelihood of successful vaccine development. This Framework serves as a comprehensive guide, aiding developers in building effective strategies to overcome the challenges posed by the different phases of vaccine development, including the ones often referred to as the "valleys of death". The Framework lists stage-appropriate deliverables, categorized and refined, spanning five key areas: manufacturing process, formulation and stability, analytics, supply chain, and compliance. By emphasizing the critical aspects of CMC development, CEPI's objective is to expedite the progression of vaccine candidates from research to deployment, reducing delays, mitigating risks, and optimizing the overall development process, all while upholding uncompromising quality standards, ultimately increasing the probability of success.

NFRA recommends revision of the Standard quality control (SCQ1) and Standard quality management (SQM1 and SQM2), on the lines of the global Standards...

On Thursday, the Reserve Bank of India (RBI) permitted extending the restructuring of MSME (Micro, Small & Medium Enterprises) debt until 31 March 2021 under the existing framework where MSMEs that were in default but 'standard' as on 1 March 2020

[s.l.] : Routledge, 2023.