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Reggae crooner D'Yani has exclaimed surprise at the momentum building up for his upcoming United Kingdom (UK) tour. "I'm still in shock that the early bird tickets were sold out so quickly, " he told THE WEEKEND STAR. D'Yani, born Andre...

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The St Catherine South police are probing the fatal shooting of a fisherman in Old Harbour Bay in the parish on Sunday.

TNF is a highly pro-inflammatory cytokine that contributes not only to the regulation of immune responses but also to the development of severe inflammatory diseases. TNF is synthesized as a transmembrane protein, which is further matured via proteolytic cleavage by metalloproteases such as ADAM17, a process known as shedding. At present, TNF is mainly detected by measuring the precursor or the mature cytokine of bulk cell populations by techniques such as ELISA or immunoblotting. However, these methods do not provide information on the exact timing and extent of TNF cleavage at single-cell resolution and they do not allow the live visualization of shedding events. Here, we generated C-tag TNF as a genetically encoded reporter to study TNF shedding at the single-cell level. The functionality of the C-tag TNF reporter is based on the exposure of a cryptic epitope on the C terminus of the transmembrane portion of pro-TNF on cleavage. In both denatured and nondenatured samples, this epitope can be detected by a nanobody in a highly sensitive and specific manner only upon TNF shedding. As such, C-tag TNF can successfully be used for the detection of TNF cleavage in flow cytometry and live-cell imaging applications. We furthermore demonstrate its applicability in a forward genetic screen geared toward the identification of genetic regulators of TNF maturation. In summary, the C-tag TNF reporter can be employed to gain novel insights into the complex regulation of ADAM-dependent TNF shedding.

Managing natural resources

Research analyzing options for the sustainable management of natural resources and how to use them in a way that enhances the resilience of ecosystems.

Areas of focus include examining what is the future for fossil fuels and other extractive industries (especially coal, oil and natural gas), forest governance in light of continued illegal logging and deforestation, and ocean governance.

Natural resources are vital for the future sustainability of major industries such as agriculture, mining, tourism, fisheries and forestry. Research is carried out in areas such as land use planning, water management, biodiversity conservation, and the scientific and technical understanding of resources governance.

The dimeric ectonucleotidase CD73 catalyzes the hydrolysis of AMP at the cell surface to form adenosine, a potent suppressor of the immune response. Blocking CD73 activity in the tumor microenvironment can have a beneficial effect on tumor eradication and is a promising approach for cancer therapy. Biparatopic antibodies binding different regions of CD73 may be a means to antagonize its enzymatic activity. A panel of biparatopic antibodies representing the pairwise combination of 11 parental monoclonal antibodies against CD73 was generated by Fab-arm exchange. Nine variants vastly exceeded the potency of their parental antibodies with ≥90% inhibition of activity and subnanomolar EC50 values. Pairing the Fabs of parents with nonoverlapping epitopes was both sufficient and necessary whereas monovalent antibodies were poor inhibitors. Some parental antibodies yielded potent biparatopics with multiple partners, one of which (TB19) producing the most potent. The structure of the TB19 Fab with CD73 reveals that it blocks alignment of the N- and C-terminal CD73 domains necessary for catalysis. A separate structure of CD73 with a Fab (TB38) which complements TB19 in a particularly potent biparatopic shows its binding to a nonoverlapping site on the CD73 N-terminal domain. Structural modeling demonstrates a TB19/TB38 biparatopic antibody would be unable to bind the CD73 dimer in a bivalent manner, implicating crosslinking of separate CD73 dimers in its mechanism of action. This ability of a biparatopic antibody to both crosslink CD73 dimers and fix them in an inactive conformation thus represents a highly effective mechanism for the inhibition of CD73 activity.

27 July 2020

26 August 2020

Visual Abstract

On beyond “Detect and Respond” and “Secure by Design”

Eugen Netz
Dec 1, 2020; 19:2157-2167
Technological Innovation and Resources

Protein quality control is maintained by a number of integrated cellular pathways that monitor the folding and functionality of the cellular proteome. Defects in these pathways lead to the accumulation of misfolded or faulty proteins that may become insoluble and aggregate over time. Protein aggregates significantly contribute to the development of a number of human diseases such as amyotrophic lateral sclerosis, Huntington's disease, and Alzheimer's disease. In vitro, imaging-based, cellular studies have defined key biomolecular components that recognize and clear aggregates; however, no unifying method is available to quantify cellular aggregates, limiting our ability to reproducibly and accurately quantify these structures. Here we describe an ImageJ macro called AggreCount to identify and measure protein aggregates in cells. AggreCount is designed to be intuitive, easy to use, and customizable for different types of aggregates observed in cells. Minimal experience in coding is required to utilize the script. Based on a user-defined image, AggreCount will report a number of metrics: (i) total number of cellular aggregates, (ii) percentage of cells with aggregates, (iii) aggregates per cell, (iv) area of aggregates, and (v) localization of aggregates (cytosol, perinuclear, or nuclear). A data table of aggregate information on a per cell basis, as well as a summary table, is provided for further data analysis. We demonstrate the versatility of AggreCount by analyzing a number of different cellular aggregates including aggresomes, stress granules, and inclusion bodies caused by huntingtin polyglutamine expansion.

Mitochondrial DNA (mtDNA) encodes proteins and RNAs that support the functions of mitochondria and thereby numerous physiological processes. Mutations of mtDNA can cause mitochondrial diseases and are implicated in aging. The mtDNA within cells is organized into nucleoids within the mitochondrial matrix, but how mtDNA nucleoids are formed and regulated within cells remains incompletely resolved. Visualization of mtDNA within cells is a powerful means by which mechanistic insight can be gained. Manipulation of the amount and sequence of mtDNA within cells is important experimentally and for developing therapeutic interventions to treat mitochondrial disease. This review details recent developments and opportunities for improvements in the experimental tools and techniques that can be used to visualize, quantify, and manipulate the properties of mtDNA within cells.

Ion mobility brings an additional dimension of separation to LC–MS, improving identification of peptides and proteins in complex mixtures. A recently introduced timsTOF mass spectrometer (Bruker) couples trapped ion mobility separation to TOF mass analysis. With the parallel accumulation serial fragmentation (PASEF) method, the timsTOF platform achieves promising results, yet analysis of the data generated on this platform represents a major bottleneck. Currently, MaxQuant and PEAKS are most used to analyze these data. However, because of the high complexity of timsTOF PASEF data, both require substantial time to perform even standard tryptic searches. Advanced searches (e.g. with many variable modifications, semi- or non-enzymatic searches, or open searches for post-translational modification discovery) are practically impossible. We have extended our fast peptide identification tool MSFragger to support timsTOF PASEF data, and developed a label-free quantification tool, IonQuant, for fast and accurate 4-D feature extraction and quantification. Using a HeLa data set published by Meier et al. (2018), we demonstrate that MSFragger identifies significantly (~30%) more unique peptides than MaxQuant (1.6.10.43), and performs comparably or better than PEAKS X+ (~10% more peptides). IonQuant outperforms both in terms of number of quantified proteins while maintaining good quantification precision and accuracy. Runtime tests show that MSFragger and IonQuant can fully process a typical two-hour PASEF run in under 70 min on a typical desktop (6 CPU cores, 32 GB RAM), significantly faster than other tools. Finally, through semi-enzymatic searching, we significantly increase the number of identified peptides. Within these semi-tryptic identifications, we report evidence of gas-phase fragmentation before MS/MS analysis.

Mass spectrometry has become an indispensable tool for the characterization of glycosylation across biological systems. Our ability to generate rich fragmentation of glycopeptides has dramatically improved over the last decade yet our informatic approaches still lag behind. Although glycoproteomic informatics approaches using glycan databases have attracted considerable attention, database independent approaches have not. This has significantly limited high throughput studies of unusual or atypical glycosylation events such as those observed in bacteria. As such, computational approaches to examine bacterial glycosylation and identify chemically diverse glycans are desperately needed. Here we describe the use of wide-tolerance (up to 2000 Da) open searching as a means to rapidly examine bacterial glycoproteomes. We benchmarked this approach using N-linked glycopeptides of Campylobacter fetus subsp. fetus as well as O-linked glycopeptides of Acinetobacter baumannii and Burkholderia cenocepacia revealing glycopeptides modified with a range of glycans can be readily identified without defining the glycan masses before database searching. Using this approach, we demonstrate how wide tolerance searching can be used to compare glycan use across bacterial species by examining the glycoproteomes of eight Burkholderia species (B. pseudomallei; B. multivorans; B. dolosa; B. humptydooensis; B. ubonensis, B. anthina; B. diffusa; B. pseudomultivorans). Finally, we demonstrate how open searching enables the identification of low frequency glycoforms based on shared modified peptides sequences. Combined, these results show that open searching is a robust computational approach for the determination of glycan diversity within bacterial proteomes.

In-depth coverage of proteomic analysis could enhance our understanding to the mechanism of the protein functions. Unfortunately, many highly hydrophobic proteins and low-abundance proteins, which play critical roles in signaling networks, are easily lost during sample preparation, mainly attributed to the fact that very few extractants can simultaneously satisfy the requirements on strong solubilizing ability to membrane proteins and good enzyme compatibility. Thus, it is urgent to screen out ideal extractant from the huge compound libraries in a fast and effective way. Herein, by investigating the interior mechanism of extractants on the membrane proteins solubilization and trypsin compatibility, a molecular dynamics simulation system was established as complement to the experimental procedure to narrow down the scope of candidates for proteomics analysis. The simulation data shows that the van der Waals interaction between cation group of ionic liquid and membrane protein is the dominant factor in determining protein solubilization. In combination with the experimental data, 1-dodecyl-3-methylimidazolium chloride (C12Im-Cl) is on the shortlist for the suitable candidates from comprehensive aspects. Inspired by the advantages of C12Im-Cl, an ionic liquid-based filter-aided sample preparation (i-FASP) method was developed. Using this strategy, over 3,300 proteins were confidently identified from 10³ HeLa cells (~100 ng proteins) in a single run, an improvement of 53% over the conventional FASP method. Then the i-FASP method was further successfully applied to the label-free relative quantitation of human liver cancer and para-carcinoma tissues with obviously improved accuracy, reproducibility and coverage than the commonly used urea-based FASP method. The above results demonstrated that the i-FASP method could be performed as a versatile tool for the in-depth coverage proteomic analysis of biological samples.

Tandem mass tag (TMT) is a multiplexing technology widely-used in proteomic research. It enables relative quantification of proteins from multiple biological samples in a single MS run with high efficiency and high throughput. However, experiments often require more biological replicates or conditions than can be accommodated by a single run, and involve multiple TMT mixtures and multiple runs. Such larger-scale experiments combine sources of biological and technical variation in patterns that are complex, unique to TMT-based workflows, and challenging for the downstream statistical analysis. These patterns cannot be adequately characterized by statistical methods designed for other technologies, such as label-free proteomics or transcriptomics. This manuscript proposes a general statistical approach for relative protein quantification in MS- based experiments with TMT labeling. It is applicable to experiments with multiple conditions, multiple biological replicate runs and multiple technical replicate runs, and unbalanced designs. It is based on a flexible family of linear mixed-effects models that handle complex patterns of technical artifacts and missing values. The approach is implemented in MSstatsTMT, a freely available open-source R/Bioconductor package compatible with data processing tools such as Proteome Discoverer, MaxQuant, OpenMS, and SpectroMine. Evaluation on a controlled mixture, simulated datasets, and three biological investigations with diverse designs demonstrated that MSstatsTMT balanced the sensitivity and the specificity of detecting differentially abundant proteins, in large-scale experiments with multiple biological mixtures.

Cross-linking MS (XL-MS) has been recognized as an effective source of information about protein structures and interactions. In contrast to regular peptide identification, XL-MS has to deal with a quadratic search space, where peptides from every protein could potentially be cross-linked to any other protein. To cope with this search space, most tools apply different heuristics for search space reduction. We introduce a new open-source XL-MS database search algorithm, OpenPepXL, which offers increased sensitivity compared with other tools. OpenPepXL searches the full search space of an XL-MS experiment without using heuristics to reduce it. Because of efficient data structures and built-in parallelization OpenPepXL achieves excellent runtimes and can also be deployed on large compute clusters and cloud services while maintaining a slim memory footprint. We compared OpenPepXL to several other commonly used tools for identification of noncleavable labeled and label-free cross-linkers on a diverse set of XL-MS experiments. In our first comparison, we used a data set from a fraction of a cell lysate with a protein database of 128 targets and 128 decoys. At 5% FDR, OpenPepXL finds from 7% to over 50% more unique residue pairs (URPs) than other tools. On data sets with available high-resolution structures for cross-link validation OpenPepXL reports from 7% to over 40% more structurally validated URPs than other tools. Additionally, we used a synthetic peptide data set that allows objective validation of cross-links without relying on structural information and found that OpenPepXL reports at least 12% more validated URPs than other tools. It has been built as part of the OpenMS suite of tools and supports Windows, macOS, and Linux operating systems. OpenPepXL also supports the MzIdentML 1.2 format for XL-MS identification results. It is freely available under a three-clause BSD license at https://openms.org/openpepxl.

Trypsin is the protease of choice in bottom-up proteomics. However, its application can be limited by the amino acid composition of target proteins and the pH of the digestion solution. In this study we characterize ProAlanase, a protease from the fungus Aspergillus niger that cleaves primarily on the C-terminal side of proline and alanine residues. ProAlanase achieves high proteolytic activity and specificity when digestion is carried out at acidic pH (1.5) for relatively short (2 h) time periods. To elucidate the potential of ProAlanase in proteomics applications, we conducted a series of investigations comprising comparative multi-enzymatic profiling of a human cell line proteome, histone PTM analysis, ancient bone protein identification, phosphosite mapping and de novo sequencing of a proline-rich protein and disulfide bond mapping in mAb. The results demonstrate that ProAlanase is highly suitable for proteomics analysis of the arginine- and lysine-rich histones, enabling high sequence coverage of multiple histone family members. It also facilitates an efficient digestion of bone collagen thanks to the cleavage at the C terminus of hydroxyproline which is highly prevalent in collagen. This allows to identify complementary proteins in ProAlanase- and trypsin-digested ancient bone samples, as well as to increase sequence coverage of noncollagenous proteins. Moreover, digestion with ProAlanase improves protein sequence coverage and phosphosite localization for the proline-rich protein Notch3 intracellular domain (N3ICD). Furthermore, we achieve a nearly complete coverage of N3ICD protein by de novo sequencing using the combination of ProAlanase and tryptic peptides. Finally, we demonstrate that ProAlanase is efficient in disulfide bond mapping, showing high coverage of disulfide-containing regions in a nonreduced mAb.

Over the past decade, modern methods of MS (MS) have emerged that allow reliable, fast and cost-effective identification of pathogenic microorganisms. Although MALDI-TOF MS has already revolutionized the way microorganisms are identified, recent years have witnessed also substantial progress in the development of liquid chromatography (LC)-MS based proteomics for microbiological applications. For example, LC-tandem MS (LC-MS²) has been proposed for microbial characterization by means of multiple discriminative peptides that enable identification at the species, or sometimes at the strain level. However, such investigations can be laborious and time-consuming, especially if the experimental LC-MS² data are tested against sequence databases covering a broad panel of different microbiological taxa. In this proof of concept study, we present an alternative bottom-up proteomics method for microbial identification. The proposed approach involves efficient extraction of proteins from cultivated microbial cells, digestion by trypsin and LC–MS measurements. Peptide masses are then extracted from MS¹ data and systematically tested against an in silico library of all possible peptide mass data compiled in-house. The library has been computed from the UniProt Knowledgebase covering Swiss-Prot and TrEMBL databases and comprises more than 12,000 strain-specific in silico profiles, each containing tens of thousands of peptide mass entries. Identification analysis involves computation of score values derived from correlation coefficients between experimental and strain-specific in silico peptide mass profiles and compilation of score ranking lists. The taxonomic positions of the microbial samples are then determined by using the best-matching database entries. The suggested method is computationally efficient – less than 2 mins per sample - and has been successfully tested by a test set of 39 LC-MS¹ peak lists obtained from 19 different microbial pathogens. The proposed method is rapid, simple and automatable and we foresee wide application potential for future microbiological applications.

Pathway analyses are key methods to analyze 'omics experiments. Nevertheless, integrating data from different 'omics technologies and different species still requires considerable bioinformatics knowledge.

Here we present the novel ReactomeGSA resource for comparative pathway analyses of multi-omics datasets. ReactomeGSA can be used through Reactome's existing web interface and the novel ReactomeGSA R Bioconductor package with explicit support for scRNA-seq data. Data from different species is automatically mapped to a common pathway space. Public data from ExpressionAtlas and Single Cell ExpressionAtlas can be directly integrated in the analysis. ReactomeGSA greatly reduces the technical barrier for multi-omics, cross-species, comparative pathway analyses.

We used ReactomeGSA to characterize the role of B cells in anti-tumor immunity. We compared B cell rich and poor human cancer samples from five of the Cancer Genome Atlas (TCGA) transcriptomics and two of the Clinical Proteomic Tumor Analysis Consortium (CPTAC) proteomics studies. B cell-rich lung adenocarcinoma samples lacked the otherwise present activation through NFkappaB. This may be linked to the presence of a specific subset of tumor associated IgG+ plasma cells that lack NFkappaB activation in scRNA-seq data from human melanoma. This showcases how ReactomeGSA can derive novel biomedical insights by integrating large multi-omics datasets.

En France, environ 2 à 4 % de la population, souvent des femmes, est touchée par la fibromyalgie. Mais en réalité, qu’est-ce que la fibromyalgie ? Quelles sont les astuces naturelles permettant de soulager les patients qui présentent des symptômes de cette maladie ? Quels sont les symptômes de la fibromyalgie ? La fibromyalgie, ou syndrome fibromyalgique, […]

L’article Quelques remèdes de grand-mère pour soulager les symptômes de la fibromyalgie est apparu en premier sur Ortho Doc France.

Contrairement à ce qu’on pourrait croire, bien plus de femmes se préoccupent de leurs poids et y font attention. Pour ces femmes, comprendre ce qu’est un indice de masse corporelle (IMC) normal peut permettre de maintenir une bonne santé et savoir quand faire appel à un médecin pour leurs poids. C’est quoi l’IMC ou indice de masse […]

L’article Quel est l’IMC normal pour une femme ? est apparu en premier sur Ortho Doc France.

This article provides an introduction to Fourier transform-based mass spectrometry (FTMS). The key performance characteristics of FTMS, mass accuracy and resolution, are presented in the view of how they impact the interpretation of measurements in proteomic applications. The theory and principles of operation of two types of mass analyzer, Fourier transform ion cyclotron resonance and Orbitrap, are described. Major benefits as well as limitations of FTMS technology are discussed in the context of practical sample analysis, and illustrated with examples included as figures in this text and in the accompanying slide set. Comparisons highlighting the performance differences between the two mass analyzers are made where deemed useful in assisting the user with choosing the most appropriate technology for his/her application. Recent developments of these high-performing mass spectrometers are mentioned to provide a future outlook.

The increasing consumption of high-fat foods combined with a lack of exercise is a major contributor to the burden of obesity in humans. Aerobic exercise such as running is known to provide metabolic benefits, but how the over-consumption of a high fat diet (HFD) and exercise interact is not well characterized at the molecular level. Here, we examined the plasma proteome in mice for the effects of aerobic exercise as both a treatment and as a preventative regime for animals on either HFD or a healthy control diet. This analysis detected large changes in the plasma proteome induced by the HFD, such as increased abundance of SERPINA7, ALDOB, and down-regulation of SERPINA1E, CFD (adipsin). Some of these changes were significantly reverted using exercise as a preventative measure, but not as a treatment regime. To determine if either the intensity, or duration, of exercise influenced the outcome, we compared high-intensity interval training (HIIT) and endurance running. Endurance running slightly out-performed HIIT exercise, but overall, both provided similar reversion in abundance of plasma proteins modulated by the high-fat diet including SERPINA7, APOE, SERPINA1E, and CFD. Finally, we compared the changes induced by over-consumption of HFD to previous data from mice fed an isocaloric high saturated fat (SFA) or polyunsaturated fat (PUFA) diet. This identified several common changes including increased APOC2 and APOE, but also highlighted changes specific for either over-consumption of HFD (ALDOB, SERPINA7, CFD), SFA-based diets (SERPINA1E), or PUFA-based diets (Haptoglobin - Hp). Together, these data highlight the importance of early intervention with exercise to revert HFD-induced phenotypes and suggest some of the molecular mechanisms leading to the changes in the plasma proteome generated by high fat diet consumption. Web-based interactive visualizations are provided for this dataset (larancelab.com/hfd-exercise), which give insight into diet and exercise phenotypic interactions on the plasma proteome.

We developed a simple and rapid method to enrich protein N-terminal peptides, in which the protease TrypN is first employed to generate protein N-terminal peptides without Lys or Arg and internal peptides with two positive charges at their N-termini, and then the N-terminal peptides with or without N-acetylation are separated from the internal peptides by strong cation exchange chromatography according to a retention model based on the charge/orientation of peptides. This approach was applied to 20 μg of human HEK293T cell lysate proteins to profile the N-terminal proteome. On average, 1,550 acetylated and 200 unmodified protein N-terminal peptides were successfully identified in a single LC/MS/MS run with less than 3% contamination with internal peptides, even when we accepted only canonical protein N-termini registered in the Swiss-Prot database. Since this method involves only two steps, protein digestion and chromatographic separation, without the need for tedious chemical reactions, it should be useful for comprehensive profiling of protein N-termini, including proteoforms with neo-N-termini.

Open searching has proven to be an effective strategy for identifying both known and unknown modifications in shotgun proteomics experiments. Rather than being limited to a small set of user-specified modifications, open searches identify peptides with any mass shift that may correspond to a single modification or a combination of several modifications. Here we present PTM-Shepherd, a bioinformatics tool that automates characterization of PTM profiles detected in open searches based on attributes such as amino acid localization, fragmentation spectra similarity, retention time shifts, and relative modification rates. PTM-Shepherd can also perform multi-experiment comparisons for studying changes in modification profiles, e.g. in data generated in different laboratories or under different conditions. We demonstrate how PTM-Shepherd improves the analysis of data from formalin-fixed paraffin-embedded samples, detects extreme underalkylation of cysteine in some datasets, discovers an artefactual modification introduced during peptide synthesis, and uncovers site-specific biases in sample preparation artifacts in a multi-center proteomics profiling study.

Exploring Public International Law Issues with Chinese Scholars – Part Four Other resource sysadmin 30 October 2018

As part of a roundtable series, Chatham House and the China University of Political Science and Law (CUPL) held a two-day roundtable in Beijing on emerging issues of public international law.

The specific objectives were to:

• create a platform for Chinese international law academics working on international human rights law issues to present their thinking and exchange ideas with counterparts from outside China;
• build stronger understanding within the wider international law community of intellectual debates taking place in China about the international human rights system and China’s role within it;
• support networking between Chinese and non-Chinese academics working on international human rights and related areas of international law.

The roundtable forms part of a wider Chatham House project exploring China’s impact on the international human rights system and was inspired by early discussions with a burgeoning community of Chinese academics thinking, writing (mainly in Chinese) and teaching about international human rights law.

For CUPL, one of the largest and most prestigious law schools in China and perhaps the only university in the world with an entire faculty of international law, the initiative is part of a drive to forge partnerships beyond China in the international law field.

The meeting was co-hosted with CUPL and involved 28 participants, consisting of 19 Chinese participants (from six leading research institutions in Beijing and Shanghai) and nine nonChinese participants (from eight leading research institutions in Australia, the Netherlands, the UK, Switzerland, Canada and Singapore).

To ensure continuity while also expanding the expert network being built, the fifth meeting included a mix of participants from the previous meetings and some new participants.

All discussions were held in English under the Chatham House Rule.

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.

Diagnosing social behavioural dynamics of corruption Other resource dora.popova 8 December 2021

This interactive toolkit identifies the types of social expectations which sustain selected corrupt practices and provides behaviourally-informed recommendations for changing them.

When tackling a problem as complex as corruption, it is important to understand why and how people behave in different situations where corruption occurs. In contexts where it is easier to engage in corruption than avoid it, identifying the social expectations and informal rules which sustain corrupt practices can advance corruption prevention and deepen collective action.  

Behavioural approaches to corruption offer a better understanding of diverse social settings, group dynamics, power distribution, social motivations, and expectations that contribute to a more tolerant environment for certain forms of the phenomenon. They are also highly complementary to traditional corruption measures, which tend to focus on the enforcement of legal sanctions and deterrents. Behavioural approaches, especially those inspired by social norms theory, highlight complex social characteristics and informal rules of specific corrupt practices, and effectively support implementation of more dynamic context-specific anti-corruption interventions.

Since 2016, the Chatham House Africa programme’s Social Norms and Accountable Governance (SNAG) project has adopted a behavioural approach based on social norms methodology to investigate the social beliefs which motivate different forms of corruption. Drawing on the project’s extensive evidence-gathering and analysis, this toolkit offers users navigable behavioural mapping of contextual factors, beliefs, and expectations surrounding common corrupt practices. 

It aims to support anti-corruption actors in diagnosing informal rules and social expectations which sustain corruption in some societies. It also proposes behavioural-informed guidance for developing or adapting anti-corruption interventions and activities, so they account for informal rules of behaviour such as social norms. 
 
The toolkit supports users to:

• Identify whether and how widespread corrupt practices are motivated by social beliefs and expectations.

• Understand how society influences the types of corrupt activity individuals engage in, or avoid, and the factors informing these choices

• Integrate empirical evidence and behavioural insights into anti-corruption strategies from diagnostics to design, and eventual implementation and evaluation

The toolkit presents evidence from SNAG’s research into three key corrupt practices – bribery, embezzlement, and electoral fraud. Each was examined in the context of typical situations in which they occur, such as law enforcement, healthcare, the power sector, voting, and education while critical factors such as religion, gender, and ethnicity were considered. 

The toolkit presents an overview of specific contexts and behavioural features of the practices and provides behavioural-informed recommendations. It also contains pop-up features with definitions and explanations of key concepts. The toolkit is designed to be expandable, allowing further content and behavioural dynamics to be added.   

It's almost time for Spring Training yet again, as Angels pitchers and catchers report to their Spring Training complex in Tempe, Ariz. on Feb. 12.

The Angels agreed to terms with right-hander reliever Daniel Hudson on a Minor League deal to add bullpen depth, a source confirmed to MLB.com on Friday.

Zimbabwe Futures 2030: Policy Priorities for Industrialization, Agri-Business and Tourism 6 June 2019 — 9:30AM TO 1:15PM Anonymous (not verified) 21 June 2019 Bulawayo, Zimbabwe

What is Labour’s foreign policy? 24 January 2023 — 12:00PM TO 1:00PM Anonymous (not verified) 3 January 2023 Chatham House and Online

In conversation with David Lammy, the UK shadow foreign secretary.

David Lammy MP, shadow secretary of state for foreign, commonwealth and development affairs, outlines Labour’s plan for UK foreign policy if elected to government.

He addresses the UK’s strengths and opportunities in a world that has become more divided, more dangerous, and more unpredictable. He also offers a critique of the current UK government’s approach to foreign policy, particularly at strained relationships with allies and Britain’s economic woes.

The shadow foreign secretary explores the following key questions:

• What would a future Labour government do to modernize Britain’s diplomacy and rebuild alliances to improve Britain’s global influence?

• In a new age of warfare in Europe, how would Labour pursue security cooperation with allies?

• How would Labour address high energy costs, energy security, and the climate crisis?

• As Britain’s economy falters, how can foreign policy drive prosperity at home?

• What is Labour’s plan for international development, following the UK government’s abandonment of the 0.7% commitment?

As with all members events, questions from the audience drive the conversation.

Read a transcript

The World in Brief: European Court of Justice The World Today Anonymous (not verified) 29 July 2021

EU brings members into line over fundamental rights

The European Union has had a challenging start to the summer trying to uphold the rule of law and avoid democratic regression in its member states.

On July 14, the Polish constitutional court ruled that the country did not have to comply with the measures imposed by the European Court of Justice against its controversial judicial reforms, citing that these measures were not in line with the Polish constitution.

The ruling Law and Justice Party, known as PiS, has introduced extensive changes to the judiciary since coming to power six years ago. In 2018, the government appointed new judges and set up a disciplinary chamber for the Supreme Court, which was given a temporary suspension by the European Court of Justice in an interim decision last year.

PiS reasoned that the changes were necessary to eliminate corruption stemming from the communist era, but critics say it merely allows the government to punish judges it regards as disloyal. Under the disciplinary system, Polish judges can have sanctions imposed on them for their judgments in the lower courts or if they refer cases to EU courts for preliminary rulings.

In the day following the Polish top court’s decision, the stand-off worsened when the European Court of Justice ruled that the disciplinary chamber undermines judicial independence and violates EU law. It ordered its immediate suspension and reiterated that the EU has primacy over national law – a vital condition countries agree to when joining the EU.

Didier Reynders, the European justice commissioner, sent a letter to Warsaw with an August 16 deadline for an answer on whether Poland would comply with the ruling. If the EU does not receive a satisfactory answer, it will impose financial sanctions on the state.

The former communist country, which joined the EU in 2004, is one of the bloc’s success stories. Its economy has boomed, and most people hold favourable views about the union – less than a handful of other member states have greater support for EU membership.

A recent survey by the Bertelsmann Stiftung showed that ‘although only 35 per cent of Poles are satisfied with the democracy in their own country, a full 70 per cent express positive views on the state of democracy in the EU’. These figures feed into a larger picture of many Europeans welcoming the EU as a supervisory agent that is capable of intervening when individual states falter.

Recently, however, the EU has had to step up its efforts as members express anger over the gradual dismantling of fundamental rights under populist governments, not only in Poland.

The persistent backsliding in Viktor Orbán’s Hungary has led to concerns in the EU parliament, which is putting pressure on the European Commission to do more to protect the EU’s values and legal order.

In a simultaneous battle in July, the commission launched legal action against Poland and Hungary, challenging anti-LGBTQ laws in those countries. It was triggered by a decision of more than 100 Polish regions to pass resolutions declaring themselves free of ‘LGBTQ ideology’, and a recently adopted law in Hungary banning any depiction of LGBTQ people on television or in books for under-18s.

An annual report on the rule of law in the union, released by the commission in July, singled out the two countries for their non-compliance. The report, the second of its kind, is a new tool to address concerns that the union was not scrutinizing democratic backsliding within its own bloc. Critics were quick to point out, however, that there is no mention of enforcement actions.

At the start of the year the EU vowed to be tougher in upholding democracy with a new regulation that lets it withhold money from member states that breach the rule of law. The EU has already delayed approving spending plans for Hungary and Poland as part of the €800 billion pandemic recovery fund.

As the European Parliament calls for the commission to reduce budget allocations to those that undermine democratic rights, Poland and Hungary could see the new mechanism put to the test this autumn.

The Supreme Court appeared skeptical that companies should be required to include past events in their risk disclosure statements during oral arguments for Facebook Inc. vs. Amalgamated Bank on Wednesday.

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A 55-year-old vaccine conspiracy theorist and COVID-19 denier convicted of encouraging violence over Britain's handling of the pandemic was sentenced Monday to five years' imprisonment.

Oil giant Shell emerged victorious Tuesday from a Dutch court where it was appealing a ruling ordering it to slash its global carbon emissions by 45% by the end of the decade in line with the Paris climate agreement.

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June 24, 2024 — Haiqu, a quantum computing startup, announced the release of its new open-source toolkit – Rivet. This new toolkit is made to help developers streamline the execution of […]

The post Haiqu Releases Open-Source Rivet for Quantum Workflow Execution appeared first on HPCwire.

A B-2 Spirit stealth bomber made an emergency landing at Whiteman Air Force Base in Missouri earlier this week after the high-tech aircraft malfunctioned during a training flight.

Four U.S. Marines remain hospitalized after an attack near Hamid Karzai International Airport in Kabul, Afghanistan, last month as service members were evacuating foreign nationals and refugees.